Volume Delta & Order Block Suite [QuantAlgo]Upgrade your volume analysis and order flow trading with Volume Delta & Order Block Suite by QuantAlgo, a sophisticated technical indicator that leverages advanced volume delta calculations, along with dynamic order block detection to provide deep insights into market participant behavior. By calculating the distribution of volume between buyers and sellers and tracking pivotal volume zones, the indicator helps traders understand the underlying forces driving price movements. It is particularly valuable for those looking to identify high-probability trading opportunities based on volume imbalances and key price levels where significant activity has occurred.
🟢 Technical Foundation
The Volume Delta & Order Block Suite utilizes sophisticated volume analysis techniques to estimate buying and selling pressure within each price candle. The core volume delta calculation employs a formula that estimates buy volume as: Volume × (Close - Low) ÷ (High - Low) , with sell volume calculated as the remainder of total volume. This approach assumes that when price closes near the high of a candle, most volume represents buying pressure, and when price closes near the low, most volume represents selling pressure.
For order block detection, the indicator implements a multi-step process involving volume pivot identification and price state tracking. It first detects significant volume pivot points using the ta.pivothigh function with a user-defined pivot period. It then tracks the market's order state based on whether the high exceeds the highest high or the low falls below the lowest low. When a volume pivot occurs, the indicator creates order blocks based on price levels at that pivot point. These blocks are continuously monitored for invalidation based on subsequent price action.
🟢 Key Features & Signals
1. Volume Delta Representation on Candles
The Volume Delta visualization on candles shows the buy/sell distribution directly on price bars, creating an immediate visual representation of volume pressure.
When buyers are dominant, candles are colored with the bullish theme color (default: green/teal).
Similarly, when sellers are dominant, candles are colored with the bearish theme color (default: red).
This visualization provides immediate insights into underlying volume pressure without requiring separate indicators, helping traders quickly identify which side of the market is in control.
2. Buy/Sell Pressure Information Table
The Volume Analysis Table provides a comprehensive breakdown of volume metrics across multiple timeframes, helping traders identify shifts in market behavior.
The table is organized into four timeframe columns:
Current Volume
1 Bar Before
1 Day Before
1 Week Before
For each timeframe, the table displays:
Buy volume: The estimated buying volume based on price action
Sell volume: The estimated selling volume based on price action
Total volume: The sum of buy and sell volume
Delta: The difference between buy and sell volume (positive when buyers are dominant, negative when sellers are dominant)
Additionally, the table shows both absolute values and percentage distributions, with trend indicators (Up, Down, or Neutral) at the bottom row of each timeframe column.
This multi-timeframe approach helps traders:
→ Identify volume imbalances between buyers and sellers
→ Track changes in volume delta across different periods
→ Compare current conditions with historical patterns
→ Detect potential reversals by watching for shifts in delta direction
The delta values are particularly useful as they provide a clear indication of market dominance – positive delta (Up) when buyers are dominant, and negative delta (Down) when sellers are dominant.
3. Order Blocks and Their Confluence
Order blocks represent significant price zones where volume pivots occur, potentially indicating areas of significant market participant activity.
The indicator identifies two types of order blocks:
Bullish Order Blocks (support): Highlighted with a green/teal color, these represent potential support areas where price might bounce when revisited
Bearish Order Blocks (resistance): Highlighted with a red color, these represent potential resistance areas where price might reverse when revisited
Each order block is visualized as a colored rectangle with a dashed line showing the average price within the block. The blocks are extended to the right until they are invalidated.
Order blocks can serve as key reference points for trading decisions, for example:
Support/resistance identification
Stop loss placement (beyond the opposite edge of the block)
Potential reversal zones
Target areas for profit-taking
When price approaches an order block, traders should look for confluence with the volume delta on candles and the information in the volume analysis table. Strong setups occur when all three components align – for example, when price approaches a bearish order block with increasing sell volume shown on the candles and in the volume table.
🟢 Practical Usage Tips
→ Volume Analysis and Interpretation: The indicator visualizes the buy/sell volume ratio directly on price candles using color intensity, allowing traders to immediately identify which side (buyers or sellers) is dominant. This information helps in assessing the strength behind price movements and potential continuation or reversal signals.
→ Order Block Trading Strategies: The indicator highlights significant price zones where volume pivots occur, marking these as potential support (bullish order blocks) or resistance (bearish order blocks). Traders can use these levels to identify potential reversal points, stop placement, and profit targets.
→ Multi-timeframe Volume Comparison: Through its comprehensive volume analysis table, the indicator enables traders to compare volume patterns across current, recent, daily, and weekly timeframes. This helps in identifying shifts in market behavior and confirming the strength of ongoing trends.
🟢 Pro Tips
Adjust Pivot Period based on your timeframe:
→ Lower values (3-5) for more frequent order blocks
→ Higher values (7-10) for stronger, less frequent order blocks
Fine-tune Mitigation Method based on your trading style:
→ "Wick" for more conservative invalidation
→ "Close" for more lenient order block survival
Look for confluence between components:
→ Strong volume delta in the expected direction when price touches an order block
→ Corresponding patterns in the volume analysis table
→ Overall market context aligning with the expected direction
Use for multiple trading approaches:
→ Support/resistance trading at order blocks
→ Trend confirmation with volume delta
→ Reversal detection when volume delta changes direction
→ Stop loss placement using order block boundaries
Combine with:
→ Trend analysis using trend-following indicators for trade confirmation
→ Multiple timeframe analysis for strategic context
Cerca negli script per "Buy sell"
Holding Volume StrengthHolding Volume Strength Indicator
1. Overview :
The Holding Volume Strength indicator is designed to measure the buying and selling volume based on price action (bullish vs. bearish candles) over a user-defined lookback period. This indicator helps traders gauge the strength of market participants' involvement (buyers vs. sellers) during a specific time frame.
2. Key Inputs :
- Lookback Period : The period over which you want to calculate the Buy and Sell volumes. For example, a lookback of 5 will calculate the volume for the current candle and the previous candle , while a lookback of 10 will consider the current candle and the 9 preceding candles.
- Text Color : This allows customization of the label's text color for better visibility and style.
3. Volume Calculation :
- Buy Volume : If the close price of a candle is greater than its open price (bullish candle), the body size (difference between open and close) is multiplied by the volume for that candle to calculate the buy volume. This represents the market's buying strength.
- Sell Volume : If the close price of a candle is less than its open price (bearish candle), the body size is multiplied by the volume for that candle to calculate the sell volume. This represents the market's selling strength.
4. Volume Display :
The Buy and Sell Volumes are displayed in a readable format, such as:
- Buy Volume: "1.5M" (1.5 million)
- Sell Volume: "500K" (500 thousand)
These values can help identify whether buying or selling is more dominant over a specified period.
5. Label Display :
The calculated Buy and Sell volumes are shown as labels on the main price chart (overlay). These labels dynamically update with each new candle and show the values for the current candle and the previous `n` candles (based on the lookback period).
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How This Indicator Helps in Making Buy/Sell Decisions :
1. Volume Analysis :
- High Buy Volume : A significant amount of buying volume can indicate strong market interest in the asset, suggesting potential upward momentum. If the market is in a bullish trend (e.g., after a series of green candles), and you see increasing buy volume, this might indicate that buyers are in control , making it a potential signal to buy .
- High Sell Volume : On the other hand, a significant amount of selling volume, particularly after a series of bullish candles, can signal that sellers are taking control of the market, which could indicate bearish pressure . If you observe increasing sell volume, it might be a potential signal to sell or to short the asset.
2. Volume Confirmation :
- Volume is often used to confirm price movements . For example, if the price breaks above a resistance level with strong buy volume , it suggests that the breakout is likely genuine and not a false move. Similarly, if the price drops below a support level with strong sell volume , it could signal that the breakout is real and the downtrend is continuing.
3. Divergence Analysis :
- Volume divergence occurs when price makes a new high or low but volume doesn't confirm it. For instance:
- If price makes a new high but the buy volume does not increase (or even decreases), it could signal a weak trend or potential reversal.
- Similarly, if price makes a new low but sell volume is weak, it might suggest the downtrend is losing steam and could reverse.
4. Buy/Sell Signal Strategy :
- Buy Signal : A potential buy signal might occur when you see a bullish candle with increased buy volume (especially if the buy volume is higher than the sell volume) during an uptrend or near a support level.
- Sell Signal : A potential sell signal might occur when you see a bearish candle with increased sell volume (especially if the sell volume is higher than the buy volume) during a downtrend or near a resistance level.
You could also combine this with other technical indicators (like Moving Averages, RSI, etc.) to form a more robust trading strategy.
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Example of How It Works in Practice :
- Scenario 1 (Bullish) :
- You're trading a stock or cryptocurrency, and you have the Holding Volume Strength indicator plotted.
- Over the past 10 candles, you notice a bullish trend where the price is rising.
- On the current candle, you see a strong buy volume value, indicating that buyers are in control .
- Given that the buy volume is higher than the sell volume , this might reinforce the bullish trend , and you could consider buying or entering a long position .
- Scenario 2 (Bearish) :
- You're analyzing the same asset, but this time, the price is in a downtrend .
- You notice that a recent bearish candle has a strong sell volume , suggesting sellers are dominating .
- If this sell volume is higher than the buy volume, it could indicate that the downtrend is likely to continue , and you might consider selling or entering a short position .
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Why Volume Matters :
- Volume precedes price : Volume is often considered a leading indicator, as changes in volume can signal future price movements . For example, a sudden increase in buy volume often precedes upward price movement, while a sudden increase in sell volume often precedes downward price movement.
- Volume confirms trends : Volume helps confirm trends. A price move accompanied by high volume is typically more reliable , while a price move with low volume might be a false signal or less likely to sustain itself.
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Conclusion :
The Holding Volume Strength indicator helps traders understand the market sentiment (buyers vs. sellers) by showing the cumulative buying and selling volume over a specified period. By examining the buy and sell volumes, traders can make more informed decisions about when to buy, sell, or hold based on market strength.
This volume analysis is essential because it allows traders to understand how strong the price movement is and whether it is likely to continue or reverse. By incorporating volume analysis with other indicators or chart patterns, traders can improve the accuracy of their trading signals and reduce risk.
Azlan MA Silang PLUS++Overview
Azlan MA Silang PLUS++ is an advanced moving average crossover trading indicator designed for traders who want to jump back into the market when they missed their first opportunity to take a trade. It implements a sophisticated dual moving average system with customizable settings and re-entry signals, making it suitable for both trend following and swing trading strategies.
Key Features
• Dual Moving Average System with multiple MA types (EMA, SMA, WMA, LWMA)
• Customizable price sources for each moving average
• Smart re-entry system with configurable maximum re-entries
• Visual signals with background coloring and shape markers
• Comprehensive alert system for both initial and re-entry signals
• Flexible parameter customization through input options
Input Parameters
Moving Average Configuration
• MA1 Type: Choice between SMA, EMA, WMA, LWMA (default: EMA)
• MA2 Type: Choice between SMA, EMA, WMA, LWMA (default: EMA)
• MA1 Length: Minimum value 1 (default: 8)
• MA2 Length: Minimum value 1 (default: 15)
• MA1 & MA2 Shift: Offset values for moving averages
• Price Sources: Configurable for each MA (Open, High, Low, Close, HL/2, HLC/3, HLCC/4)
Re-entry System
• Enable/Disable re-entry signals
• Maximum re-entries allowed (default: 3)
Technical Implementation
Price Source Calculation
The script implements a flexible price source system through the price_source() function:
• Supports standard OHLC values
• Includes compound calculations (HL/2, HLC/3, HLCC/4)
• Defaults to close price if invalid source specified
Moving Average Types
Implements four MA calculations:
1. SMA (Simple Moving Average)
2. EMA (Exponential Moving Average)
3. WMA (Weighted Moving Average)
4. LWMA (Linear Weighted Moving Average)
Signal Generation Logic
Initial Signals
• Buy Signal: MA1 crosses above MA2 with price above both MAs
• Sell Signal: MA1 crosses below MA2 with price below both MAs
Re-entry Signals
Re-entry system activates when:
1. Price crosses under MA1 in buy mode (or over in sell mode)
2. Price returns to cross back over MA1 (or under for sells)
3. Position relative to MA2 confirms trend direction
4. Number of re-entries hasn't exceeded maximum allowed
Visual Components
• MA1: Blue line (width: 2)
• MA2: Red line (width: 2)
• Background Colors:
o Green (60% opacity): Bullish conditions
o Red (60% opacity): Bearish conditions
• Signal Markers:
o Initial Buy/Sell: Up/Down arrows with "BUY"/"SELL" labels
o Re-entry Buy/Sell: Up/Down arrows with "RE-BUY"/"RE-SELL" labels
Alert System
Generates alerts for:
• Initial buy/sell signals
• Re-entry opportunities
• Alerts include ticker and timeframe information
• Configured for once-per-bar-close frequency
Usage Tips
1. Moving Average Selection
o Shorter periods (MA1) capture faster moves
o Longer periods (MA2) identify overall trend
o EMA responds faster to price changes than SMA
2. Re-entry System
o Best used in strong trending markets
o Limit maximum re-entries based on market volatility
o Monitor price action around MA1 for potential re-entry points
3. Risk Management
o Use additional confirmation indicators
o Set appropriate stop-loss levels
o Consider market conditions when using re-entry signals
Code Structure
The script follows a modular design with distinct sections:
1. Input parameter definitions
2. Helper functions for price and MA calculations
3. Main signal generation logic
4. Visual elements and plotting
5. Alert system implementation
This organization makes the code maintainable and easy to modify for custom needs.
Injected Volume Footprint (IVF)Reading volume footprints to interpret buying and selling pressure involves examining the intensity and timing of buy/sell activity within each candle. Although this IVF indicator does not directly show the sequence of buying and selling events within a single candle (as a true footprint chart would), here’s how you can interpret the volume data presented by IVF to get insights on market pressure:
Step 1: Identifying Strong Pressure
Check Color Intensity:
Darker shades represent higher intensity for both buy and sell volumes.
Look for dark green shades for strong buying pressure and dark red or orange shades for strong selling pressure. This helps you quickly spot candles with a high level of activity on one or both sides.
Check Volume Stacking:
Since buy volumes are above the zero line and sell volumes are below, large differences between the two suggest dominance by one side.
If buy volume is significantly higher (e.g., tall green bar with a small red/yellow bar underneath), buying pressure is dominant. Conversely, if sell volume is larger (tall red/yellow bar with a small green bar above), selling pressure dominates.
Step 2: Interpreting Both Buy and Sell Activity
Simultaneous Pressure:
If you see strong green (buy) and red/yellow (sell) volumes within the same candle, it indicates that there was active trading on both sides during that period.
This scenario might suggest a battle between buyers and sellers—often seen near critical support or resistance levels where both sides are actively defending their positions.
Balance vs. Imbalance:
Balanced Pressure: When buy and sell volumes are similar in size, it indicates a period of indecision or a potential consolidation. This usually happens when neither buyers nor sellers have a clear upper hand.
Imbalanced Pressure: If one side has a much larger volume than the other, it shows a clear dominance. For instance, if green buy volume dominates, it means buyers were willing to absorb sell orders aggressively, suggesting a possible uptrend.
Step 3: Estimating Sequence (Hypothetical)
Although IVF doesn’t provide a direct sequence, you can make educated guesses based on context:
Price Action Context:
If the candle opens and initially moves down but then closes higher (bullish candle), it might indicate that selling pressure came first and buying pressure followed, pushing the price up.
Conversely, if the candle opens and moves up first but closes lower (bearish candle), buying might have started first but was overtaken by selling pressure.
Volume Reaction to Price Levels:
At support levels, if you see strong buy volumes with some sell volumes, it might mean initial selling pressure was absorbed by buyers defending the level.
At resistance levels, if sell volume increases with some buy activity, it may indicate initial buying was met by aggressive selling, potentially reversing the price.
Trend Context:
In an uptrend, strong sell volume within an otherwise bullish candle may indicate profit-taking or the start of a pullback, as sellers try to cap further gains.
In a downtrend, strong buy volume in a bearish candle may indicate potential accumulation or buyers attempting to slow the decline, signaling a possible reversal if the trend weakens.
Conclusion
The IVF indicator doesn’t provide the exact sequence of events within each candle like true footprint data would, but by analyzing the intensity, balance, and context within the price action, you can get a reasonable sense of which side was more aggressive and how both buying and selling pressures interacted.
ICT Judas Swing | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ICT Judas Swing Indicator! This indicator is built around the ICT's "Judas Swing" strategy. The strategy looks for a liquidity grab around NY 9:30 session and a Fair Value Gap for entry confirmation. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new ICT Judas Swing :
Implementation of ICT's Judas Swing Strategy
2 Different TP / SL Methods
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
📌 HOW DOES IT WORK ?
The strategy begins by identifying the New York session from 9:30 to 9:45 and marking recent liquidity zones. These liquidity zones are determined by locating high and low pivot points: buyside liquidity zones are identified using high pivots that haven't been invalidated, while sellside liquidity zones are found using low pivots. A break of either buyside or sellside liquidity must occur during the 9:30-9:45 session, which is interpreted as a liquidity grab by smart money. The strategy assumes that after this liquidity grab, the price will reverse and move in the opposite direction. For entry confirmation, a fair value gap (FVG) in the opposite direction of the liquidity grab is required. A buyside liquidity grab calls for a bearish FVG, while a sellside grab requires a bullish FVG. Based on the type of FVG—bullish for buys and bearish for sells—the indicator will then generate a Buy or Sell signal.
After the Buy or Sell signal, the indicator immediately draws the take-profit (TP) and stop-loss (SL) targets. The indicator has three different TP & SL modes, explained in the "Settings" section of this write-up.
You can set up alerts for entry and TP & SL signals, and also check the current performance of the indicator and adjust the settings accordingly to the current ticker using the backtesting dashboard.
🚩 UNIQUENESS
This indicator is an all-in-one suit for the ICT's Judas Swing concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. Different and customizable algorithm modes will help the trader fine-tune the indicator for the asset they are currently trading. Three different TP / SL modes are available to suit your needs. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers.
⚙️ SETTINGS
1. General Configuration
Swing Length -> The swing length for pivot detection. Higher settings will result in
FVG Detection Sensitivity -> You may select between Low, Normal, High or Extreme FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
2. TP / SL
TP / SL Method ->
a) Dynamic: The TP / SL zones will be auto-determined by the algorithm based on the Average True Range (ATR) of the current ticker.
b) Fixed : You can adjust the exact TP / SL ratios from the settings below.
Dynamic Risk -> The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
Pressure Zones with MA [SYNC & TRADE]Description:
The "Pressure Zones with MA " indicator is designed to analyze the pressure of buyers and sellers on the market, as well as to identify areas of increased activity. When designing it, the main task was to see manipulations on the market, when the power of sellers or the power of buyers is in a sideways trend or falling, and the opposite is growing.
Here is a good example. The power of sellers is in a narrow sideways trend, and sales are increasing very aggressively. The power of buyers is in a gray block with the inscription "range". Then we see the fading of the power of sellers and buyers furiously pounce on the asset that has fallen in price.
Here are the main aspects of its operation and use:
First, turn off the moving averages in the indicator settings, on the "style" tab. Choose your favorite asset, which you understand well and know all its ups and downs. I want you to see a clean chart, so that you can be imbued with a new idea, you need to watch it. This is a proprietary indicator and I understand that it does not have the inscription “buy” / “sell”, but believe me, if you pay attention, you will see its strength. I usually add functionality later, but the light code and visualization remain preferable in the first version.
Purpose:
The indicator helps to determine the strength of buyers and sellers in the market.
It visualizes zones where the pressure of buyers or sellers prevails.
Additionally displays moving averages (MA) for data smoothing.
Main components:
Buyer strength chart (blue line)
Seller strength chart (red line)
Moving averages for buyer and seller strength
Threshold line for defining zones
Indicator settings:
Period: defines the base period for calculations (default 89)
Threshold: sets the level for defining pressure zones (from 0 to 2, default 0.8)
MA type for purchases and sales: select the type of moving average (SMA, EMA, RMA, WMA, VWMA, HMA)
MA length for purchases and sales: period for calculating moving averages
Colors for uptrends and downtrends of MA
Moving averages:
Help smooth out data and identify trends
The direction of the MA (up or down) further confirms the current trend
The color of the MA changes depending on the direction (blue for up, red for down)
Now you can turn them on and see how they help in understanding where one or another force is weakening. It is in this case that we see the intersection of forces and the sellers' force is moving aggressively upward. Also, according to the moving average, we see the weakening of the sellers' force. The buyers' force was in the sideways range and then switched on to buy out and also according to the moving average, it is clear where the main interest in purchases disappeared.
Use:
Observe the strength of buyers and sellers relative to each other. They can move simultaneously in one direction, this is regarded as balance
can move in different directions and this will strengthen the upward force of sellers or buyers
You may also notice that the movement of one of the forces will be in a narrow range and the second will grow strongly - this is manipulation or trading without resistance.
You can also play with the threshold line, but it is not the main thing here. I disabled this function in the code.
// Display zones
//bgcolor(buy_zone ? color.new(color.blue, 90) : na)
//bgcolor(sell_zone ? color.new(color.red, 90) : na)
If you want to enable it, copy it instead
// Display zones
bgcolor(buy_zone ? color.new(color.blue, 90) : na)
bgcolor(sell_zone ? color.new(color.red, 90) : na)
Pay attention to the intersection of forces.
Use crossovers of force lines and their moving averages as potential signals
Combine the indicator signals with other technical analysis tools for confirmation
Limitations:
Requires customization of parameters for a specific trading instrument and timeframe
The indicator should not be used as the only tool for making trading decisions
Remember that this indicator provides additional information for market analysis, but is not a guarantee of successful trades. Always combine it with other analysis methods and follow risk management rules.
Описание:
Индикатор "Pressure Zones with MA " предназначен для анализа давления покупателей и продавцов на рынке, а также для определения зон повышенной активности. При его проектировании основная задача была увидеть манипуляции на рынке, когда сила продавцов или сила покупателей стоит в боковике или падает, а противоположная растет.
Вот хороший пример. Сила продавцов стоит в узком боковике, а продажи очень агрессивно усиливаются. Сила покупателей в сером блоке с надписью “range”. Потом мы видим затухание силы продавцов и покупателей яростно накидываются на подешевевший актив.
Вот основные аспекты его работы и использования:
Для начала отключите средние скользящие в настройках индикатора, на закладке “стиль”. Выберите свой любимый актив, в котором вы хорошо разбираетесь и знаете его все взлеты и падения. Я хочу чтобы вы увидели чистый график, для того чтобы вы могли проникнутся новой идеей нужно понаблюдать за ним. Это авторский индикатор и я понимаю что на нем нет надписи “купить” / “продать”, но поверьте уделив свое внимание вы увидите его силу. Я обычно потом добавляю функционал но легкий код и визуализация, в первом варианте остается предпочтительней.
Назначение:
Индикатор помогает определить силу покупателей и продавцов на рынке.
Он визуализирует зоны, где преобладает давление покупателей или продавцов.
Дополнительно отображает скользящие средние (MA) для сглаживания данных.
Основные компоненты:
График силы покупателей (синяя линия)
График силы продавцов (красная линия)
Скользящие средние для силы покупателей и продавцов
Пороговая линия для определения зон
Настройки индикатора:
Период (Period): определяет базовый период для расчетов (по умолчанию 89)
Порог (Threshold): устанавливает уровень для определения зон давления (от 0 до 2, по умолчанию 0.8)
Тип MA для покупок и продаж: выбор типа скользящей средней (SMA, EMA, RMA, WMA, VWMA, HMA)
Длина MA для покупок и продаж: период для расчета скользящих средних
Цвета для восходящего и нисходящего трендов MA
Скользящие средние:
Помогают сглаживать данные и выявлять тренды
Направление MA (вверх или вниз) дополнительно подтверждает текущий тренд
Цвет MA меняется в зависимости от направления (синий для восходящего, красный для нисходящего)
Теперь вы можете их включить и посмотреть как они помогают в понимании где ослабевает та или иная сила. Именно в этом случае мы видим пересечение сил и сила продавцов идет агрессивно вверх. Также по средней скользящей мы видим затухание силы продавцов. Сила покупателей стояла в боковике потом включилась на откуп и также по средней скользящей видно где пропал основной интерес к покупкам.
Использование:
Наблюдайте за силой покупателей и продавцов относительно друг друга. Они могут двигаться одновременно в одном направлении это расценивается как баланс
могут двигаться в разных направлениях и это будет усиливать восходящую силу продавцов или покупателей
также возможно вы заметите что движение одной из силы будет в узком диапазоне а вторая будет сильно расти - это манипуляция или торговля без сопротивления.
Также можете поиграть с пороговой линией, но она совершенно не главная здесь. В коде я отключил эту функцию.
// Display zones
//bgcolor(buy_zone ? color.new(color.blue, 90) : na)
//bgcolor(sell_zone ? color.new(color.red, 90) : na)
Если захотите включить скопируйте вместо нее
// Display zones
bgcolor(buy_zone ? color.new(color.blue, 90) : na)
bgcolor(sell_zone ? color.new(color.red, 90) : na)
Обращайте внимание на пересечение сил.
Используйте пересечения линий силы и их скользящих средних как потенциальные сигналы
Комбинируйте сигналы индикатора с другими инструментами технического анализа для подтверждения
Ограничения:
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WaveTrend With Divs & RSI(STOCH) Divs by WeloTradesWaveTrend with Divergences & RSI(STOCH) Divergences by WeloTrades
Overview
The "WaveTrend With Divergences & RSI(STOCH) Divergences" is an advanced Pine Script™ indicator designed for TradingView, offering a multi-dimensional analysis of market conditions. This script integrates several technical indicators—WaveTrend, Money Flow Index (MFI), RSI, and Stochastic RSI—into a cohesive tool that identifies both regular and hidden divergences across these indicators. These divergences can indicate potential market reversals and provide critical trading opportunities.
This indicator is not just a simple combination of popular tools; it offers extensive customization options, organized data presentation, and valuable trading signals that are easy to interpret. Whether you're a day trader or a long-term investor, this script enhances your ability to make informed decisions.
Originality and Usefulness
The originality of this script lies in its integration and the synergy it creates among the indicators used. Rather than merely combining multiple indicators, this script allows them to work together, enhancing each other's strengths. For example, by identifying divergences across WaveTrend, RSI, and Stochastic RSI simultaneously, the script provides multiple layers of confirmation, which reduces the likelihood of false signals and increases the reliability of trading signals.
The usefulness of this script is apparent in its ability to offer a consolidated view of market dynamics. It not only simplifies the analytical process by combining different indicators but also provides deeper insights through its divergence detection features. This comprehensive approach is designed to help traders identify potential market reversals, confirm trends, and ultimately make more informed trading decisions.
How the Components Work Together
1. Cross-Validation of Signals
WaveTrend: This indicator is primarily used to identify overbought and oversold conditions, as well as potential buy and sell signals. WaveTrend's ability to smooth price data and reduce noise makes it a reliable tool for identifying trend reversals.
RSI & Stochastic RSI: These momentum oscillators are used to measure the speed and change of price movements. While RSI identifies general overbought and oversold conditions, Stochastic RSI offers a more granular view by tracking the RSI’s level relative to its high-low range over a period of time. When these indicators align with WaveTrend signals, it adds a layer of confirmation that enhances the reliability of the signals.
Money Flow Index (MFI): This volume-weighted indicator assesses the inflow and outflow of money in an asset, giving insights into buying and selling pressure. By analyzing the MFI alongside WaveTrend and RSI indicators, the script can cross-validate signals, ensuring that buy or sell signals are supported by actual market volume.
Example Bullish scenario:
When a bullish divergence is detected on the RSI and confirmed by a corresponding bullish signal on the WaveTrend, along with an increasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator.
Example Bearish scenario:
When a bearish divergence is detected on the RSI and confirmed by a corresponding bearish signal on the WaveTrend, along with an decreasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator.
2. Divergence Detection and Market Reversals
Regular Divergences: Occur when the price action and an indicator (like RSI or WaveTrend) move in opposite directions. Regular bullish divergence signals a potential upward reversal when the price makes a lower low while the indicator makes a higher low. Conversely, regular bearish divergence suggests a downward reversal when the price makes a higher high, but the indicator makes a lower high.
Hidden Divergences: These occur when the price action and indicator move in the same direction, but with different momentum. Hidden bullish divergence suggests the continuation of an uptrend, while hidden bearish divergence suggests the continuation of a downtrend. By detecting these divergences across multiple indicators, the script identifies potential trend reversals or continuations with greater accuracy.
Example: The script might detect a regular bullish divergence on the WaveTrend while simultaneously identifying a hidden bullish divergence on the RSI. This combination suggests that while a trend reversal is possible, the overall market sentiment remains bullish, providing a nuanced view of the market.
A Regular Bullish Divergence Example:
A Hidden Bullish Divergence Example:
A Regular Bearish Divergence Example:
A Hidden Bearish Divergence Example:
3. Trend Strength and Sentiment Analysis
WaveTrend: Measures the strength and direction of the trend. By identifying the extremes of market sentiment (overbought and oversold levels), WaveTrend provides early signals for potential reversals.
Money Flow Index (MFI): Assesses the underlying sentiment by analyzing the flow of money. A rising MFI during an uptrend confirms strong buying pressure, while a falling MFI during a downtrend confirms selling pressure. This helps traders assess whether a trend is likely to continue or reverse.
RSI & Stochastic RSI: Offer a momentum-based perspective on the trend’s strength. High RSI or Stochastic RSI values indicate that the asset may be overbought, suggesting a potential reversal. Conversely, low values indicate oversold conditions, signaling a possible upward reversal.
Example:
During a strong uptrend, the WaveTrend & RSI's might signal overbought conditions, suggesting caution. If the MFI also shows decreasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent.
Example:
During a strong downtrend, the WaveTrend & RSI's might signal oversold conditions, suggesting caution. If the MFI also shows increasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent.
Conclusion
The "WaveTrend With Divergences & RSI(STOCH) Divergences" script offers a powerful, integrated approach to technical analysis by combining trend, momentum, and sentiment indicators into a single tool. Its unique value lies in the cross-validation of signals, the ability to detect divergences, and the comprehensive view it provides of market conditions. By offering traders multiple layers of analysis and customization options, this script is designed to enhance trading decisions, reduce false signals, and provide clearer insights into market dynamics.
WAVETREND
Display of WaveTrend:
Display of WaveTrend Setting:
WaveTrend Indicator Explanation
The WaveTrend indicator helps identify overbought and oversold conditions, as well as potential buy and sell signals. Its flexibility allows traders to adapt it to various strategies, making it a versatile tool in technical analysis.
WaveTrend Input Settings:
WT MA Source: Default: HLC3
What it is: The data source used for calculating the WaveTrend Moving Average.
What it does: Determines the input data to smooth price action and filter noise.
Example: Using HLC3 (average of High, Low, Close) provides a smoother data representation compared to using just the closing price.
Length (WT MA Length): Default: 3
What it is: The period used to calculate the Moving Average.
What it does: Adjusts the sensitivity of the WaveTrend indicator, where shorter lengths respond more quickly to price changes.
Example: A length of 3 is ideal for short-term analysis, providing quick reactions to price movements.
WT Channel Length & Average: Default: WT Channel Length = 9, Average = 12
What it is: Lengths used to calculate the WaveTrend channel and its average.
What it does: Smooths out the WaveTrend further, reducing false signals by averaging over a set period.
Example: Higher values reduce noise and help in identifying more reliable trends.
Channel: Style, Width, and Color:
What it is: Customization options for the WaveTrend channel's appearance.
What it does: Adjusts how the channel is displayed, including line style, width, and color.
Example: Choosing an area style with a distinct color can make the WaveTrend indicator clearly visible on the chart.
WT Buy & Sell Signals:
What it is: Settings to enable and customize buy and sell signals based on WaveTrend.
What it does: Allows for the display of buy/sell signals and customization of their shapes and colors.
When it gives a Buy Signal: Generated when the WaveTrend line crosses below an oversold level and then rises back, indicating a potential upward price movement.
When it gives a Sell Signal: Triggered when the WaveTrend line crosses above an overbought level and then declines, suggesting a possible downward trend.
Example: The script identifies these signals based on mean reversion principles, where prices tend to revert to the mean after reaching extremes. Traders can use these signals to time their entries and exits effectively.
WAVETREND OVERBOUGTH AND OVERSOLD LEVELS
Display of WaveTrend with Overbought & Oversold Levels:
Display of WaveTrend Overbought & Oversold Levels Settings:
WaveTrend Overbought & Oversold Levels Explanation
WT OB & OS Levels: Default: OB Level 1 = 53, OB Level 2 = 60, OS Level 1 = -53, OS Level 2 = -60
What it is: The default overbought and oversold levels used by the WaveTrend indicator to signal potential market reversals.
What it does: When the WaveTrend crosses above the OB levels, it indicates an overbought condition, potentially signaling a reversal or selling opportunity. Conversely, when it crosses below the OS levels, it indicates an oversold condition, potentially signaling a reversal or buying opportunity.
Example: A trader might use these levels to time entry or exit points, such as selling when the WaveTrend crosses into the overbought zone or buying when it crosses into the oversold zone.
Show OB/OS Levels: Default: True
What it is: Toggle options to show or hide the overbought and oversold levels on your chart.
What it does: When enabled, these levels will be visually represented on your chart, helping you to easily identify when the market reaches these critical thresholds.
Example: Displaying these levels can help you quickly see when the WaveTrend is approaching or has crossed into overbought or oversold territory, allowing for more informed trading decisions.
Line Style, Width, and Color for OB/OS Levels:
What it is: Options to customize the appearance of the OB and OS levels on your chart, including line style (solid, dotted, dashed), line width, and color.
What it does: These settings allow you to adjust how prominently these levels are displayed on your chart, which can help you better visualize and respond to overbought or oversold conditions.
Example: Setting a thicker, dashed line in a contrasting color can make these levels stand out more clearly, aiding in quick visual identification.
Example of Use:
Scenario: A trader wants to identify potential selling points when the market is overbought. They set the OB levels at 53 and 60, choosing a solid, red line style to make these levels clear on their chart. As the WaveTrend crosses above 53, they monitor for further price action, and upon crossing 60, they consider initiating a sell order.
WAVETREND DIVERGENCES
Display of WaveTrend Divergence:
Display of WaveTrend Divergence Setting:
WaveTrend Divergence Indicator Explanation
The WaveTrend Divergence feature helps identify potential reversal points in the market by highlighting divergences between the price and the WaveTrend indicator. Divergences can signal a shift in market momentum, indicating a possible trend reversal. This component allows traders to visualize and customize divergence detection on their charts.
WaveTrend Divergence Input Settings:
Potential Reversal Range: Default: 28
What it is: The number of bars to look back when detecting potential tops and bottoms.
What it does: Sets the range for identifying possible reversal points based on historical data.
Example: A setting of 28 looks back across the last 28 bars to find reversal points, offering a balance between responsiveness and reliability.
Reversal Minimum LVL OB & OS: Default: OB = 35, OS = -35
What it is: The minimum overbought and oversold levels required for detecting potential reversals.
What it does: Adjusts the thresholds that trigger a reversal signal based on the WaveTrend indicator.
Example: A higher OB level reduces the sensitivity to overbought conditions, potentially filtering out false reversal signals.
Lookback Bar Left & Right: Default: Left = 10, Right = 1
What it is: The number of bars to the left and right used to confirm a top or bottom.
What it does: Helps determine the position of peaks and troughs in the price action.
Example: A larger left lookback captures more extended price action before the peak, while a smaller right lookback focuses on the immediate past.
Lookback Range Min & Max: Default: Min = 5, Max = 60
What it is: The minimum and maximum range for the lookback period when identifying divergences.
What it does: Fine-tunes the detection of divergences by controlling the range over which the indicator looks back.
Example: A wider range increases the chances of detecting divergences across different market conditions.
R.Div Minimum LVL OB & OS: Default: OB = 53, OS = -53
What it is: The threshold levels for detecting regular divergences.
What it does: Adjusts the sensitivity of the regular divergence detection.
Example: Higher thresholds make the detection more conservative, identifying only stronger divergence signals.
H.Div Minimum LVL OB & OS: Default: OB = 20, OS = -20
What it is: The threshold levels for detecting hidden divergences.
What it does: Similar to regular divergence settings but for hidden divergences, which can indicate potential reversals that are less obvious.
Example: Lower thresholds make the hidden divergence detection more sensitive, capturing subtler market shifts.
Divergence Label Options:
What it is: Options to display and customize labels for regular and hidden divergences.
What it does: Allows users to visually differentiate between regular and hidden divergences using customizable labels and colors.
Example: Using different colors and symbols for regular (R) and hidden (H) divergences makes it easier to interpret signals on the chart.
Text Size and Color:
What it is: Customization options for the size and color of divergence labels.
What it does: Adjusts the readability and visibility of divergence labels on the chart.
Example: Larger text size may be preferred for charts with a lot of data, ensuring divergence labels stand out clearly.
FAST & SLOW MONEY FLOW INDEX
Display of Fast & Slow Money Flow:
Display of Fast & Slow Money Flow Setting:
Fast Money Flow Indicator Explanation
The Fast Money Flow indicator helps traders identify the flow of money into and out of an asset over a shorter time frame. By tracking the volume-weighted average of price movements, it provides insights into buying and selling pressure in the market, which can be crucial for making timely trading decisions.
Fast Money Flow Input Settings:
Fast Money Flow: Length: Default: 9
What it is: The period used for calculating the Fast Money Flow.
What it does: Determines the sensitivity of the Money Flow calculation. A shorter length makes the indicator more responsive to recent price changes, while a longer length provides a smoother signal.
Example: A length of 9 is suitable for traders looking to capture quick shifts in market sentiment over a short period.
Fast MFI Area Multiplier: Default: 5
What it is: A multiplier applied to the Money Flow area calculation.
What it does: Adjusts the size of the Money Flow area on the chart, effectively amplifying or reducing the visual impact of the indicator.
Example: A higher multiplier can make the Money Flow more prominent on the chart, aiding in the quick identification of significant money flow changes.
Y Position (Y Pos): Default: 0
What it is: The vertical position adjustment for the Fast Money Flow plot on the chart.
What it does: Allows you to move the Money Flow plot up or down on the chart to avoid overlap with other indicators.
Example: Adjusting the Y Position can be useful if you have multiple indicators on the chart and need to maintain clarity.
Fast MFI Style, Width, and Color:
What it is: Customization options for how the Fast Money Flow is displayed on the chart.
What it does: Enables you to choose between different plot styles (line or area), set the line width, and select colors for positive and negative money flow.
Example: Using different colors for positive (green) and negative (red) money flow helps to visually distinguish between periods of buying and selling pressure.
Slow Money Flow Indicator Explanation
The Slow Money Flow indicator tracks the flow of money into and out of an asset over a longer time frame. It provides a broader perspective on market sentiment, smoothing out short-term fluctuations and highlighting longer-term trends.
Slow Money Flow Input Settings:
Slow Money Flow: Length: Default: 12
What it is: The period used for calculating the Slow Money Flow.
What it does: A longer period smooths out short-term fluctuations, providing a clearer view of the overall money flow trend.
Example: A length of 12 is often used by traders looking to identify sustained trends rather than short-term volatility.
Slow MFI Area Multiplier: Default: 5
What it is: A multiplier applied to the Slow Money Flow area calculation.
What it does: Adjusts the size of the Money Flow area on the chart, helping to emphasize the indicator’s significance.
Example: Increasing the multiplier can help highlight the Money Flow in markets with less volatile price action.
Y Position (Y Pos): Default: 0
What it is: The vertical position adjustment for the Slow Money Flow plot on the chart.
What it does: Allows for vertical repositioning of the Money Flow plot to maintain chart clarity when used with other indicators.
Example: Adjusting the Y Position ensures that the Slow Money Flow indicator does not overlap with other key indicators on the chart.
Slow MFI Style, Width, and Color:
What it is: Customization options for the visual display of the Slow Money Flow on the chart.
What it does: Allows you to choose the plot style (line or area), set the line width, and select colors to differentiate positive and negative money flow.
Example: Customizing the colors for the Slow Money Flow allows traders to quickly distinguish between buying and selling trends in the market.
RSI
Display of RSI:
Display of RSI Setting:
RSI Indicator Explanation
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in the market, providing traders with potential signals for buying or selling.
RSI Input Settings:
RSI Source: Default: Close
What it is: The data source used for calculating the RSI.
What it does: Determines which price data (e.g., close, open) is used in the RSI calculation, affecting how the indicator reflects market conditions.
Example: Using the closing price is standard practice, as it reflects the final agreed-upon price for a given time period.
MA Type (Moving Average Type): Default: SMA
What it is: The type of moving average applied to the RSI for smoothing purposes.
What it does: Changes the smoothing technique of the RSI, impacting how quickly the indicator responds to price movements.
Example: Using an Exponential Moving Average (EMA) will make the RSI more sensitive to recent price changes compared to a Simple Moving Average (SMA).
RSI Length: Default: 14
What it is: The period over which the RSI is calculated.
What it does: Adjusts the sensitivity of the RSI. A shorter length (e.g., 7) makes the RSI more responsive to recent price changes, while a longer length (e.g., 21) smooths out the indicator, reducing the number of signals.
Example: A 14-period RSI is commonly used for identifying overbought and oversold conditions, providing a balance between sensitivity and reliability.
RSI Plot Style, Width, and Color:
What it is: Options to customize the appearance of the RSI line on the chart.
What it does: Allows you to adjust the visual representation of the RSI, including the line width and color.
Example: Setting a thicker line width and a bright color like yellow can make the RSI more visible on the chart, aiding in quick analysis.
Display of RSI with RSI Moving Average:
RSI Moving Average Explanation
The RSI Moving Average adds a smoothing layer to the RSI, helping to filter out noise and provide clearer signals. It is particularly useful for confirming trend strength and identifying potential reversals.
RSI Moving Average Input Settings:
MA Length: Default: 14
What it is: The period over which the Moving Average is calculated on the RSI.
What it does: Adjusts the smoothing of the RSI, helping to reduce false signals and provide a clearer trend indication.
Example: A 14-period moving average on the RSI can smooth out short-term fluctuations, making it easier to spot genuine overbought or oversold conditions.
MA Plot Style, Width, and Color:
What it is: Customization options for how the RSI Moving Average is displayed on the chart.
What it does: Allows you to adjust the line width and color, helping to differentiate the Moving Average from the main RSI line.
Example: Using a contrasting color for the RSI Moving Average (e.g., magenta) can help it stand out against the main RSI line, making it easier to interpret the indicator.
STOCHASTIC RSI
Display of Stochastic RSI:
Display of Stochastic RSI Setting:
Stochastic RSI Indicator Explanation
The Stochastic RSI (Stoch RSI) is a momentum oscillator that measures the level of the RSI relative to its high-low range over a set period of time. It is used to identify overbought and oversold conditions, providing potential buy and sell signals based on momentum shifts.
Stochastic RSI Input Settings:
Stochastic RSI Length: Default: 14
What it is: The period over which the Stochastic RSI is calculated.
What it does: Adjusts the sensitivity of the Stochastic RSI. A shorter length makes the indicator more responsive to recent price changes, while a longer length smooths out the fluctuations, reducing noise.
Example: A length of 14 is commonly used to identify momentum shifts over a medium-term period, providing a balanced view of potential overbought or oversold conditions.
Display of Stochastic RSI %K Line:
Stochastic RSI %K Line Explanation
The %K line in the Stochastic RSI is the main line that tracks the momentum of the RSI over the chosen period. It is the faster-moving component of the Stochastic RSI, often used to identify entry and exit points.
Stochastic RSI %K Input Settings:
%K Length: Default: 3
What it is: The period used for smoothing the %K line of the Stochastic RSI.
What it does: Smoothing the %K line helps reduce noise and provides a clearer signal for potential market reversals.
Example: A smoothing length of 3 is common, offering a balance between responsiveness and noise reduction, making it easier to spot significant momentum shifts.
%K Plot Style, Width, and Color:
What it is: Customization options for the visual representation of the %K line.
What it does: Allows you to adjust the appearance of the %K line on the chart, including line width and color, to fit your visual preferences.
Example: Setting a blue color and a medium width for the %K line makes it stand out clearly on the chart, helping to identify key points of momentum change.
%K Fill Color (Above):
What it is: The fill color that appears above the %K line on the chart.
What it does: Adds visual clarity by shading the area above the %K line, making it easier to interpret the direction and strength of momentum.
Example: Using a light blue fill color above the %K line can help emphasize bullish momentum, making it visually prominent.
Display of Stochastic RSI %D Line:
Stochastic RSI %D Line Explanation
The %D line in the Stochastic RSI is a moving average of the %K line and acts as a signal line. It is slower-moving compared to the %K line and is often used to confirm signals or identify potential reversals when it crosses the %K line.
Stochastic RSI %D Input Settings:
%D Length: Default: 3
What it is: The period used for smoothing the %D line of the Stochastic RSI.
What it does: Smooths out the %D line, making it less sensitive to short-term fluctuations and more reliable for identifying significant market signals.
Example: A length of 3 is often used to provide a smoothed signal line that can help confirm trends or reversals indicated by the %K line.
%D Plot Style, Width, and Color:
What it is: Customization options for the visual representation of the %D line.
What it does: Allows you to adjust the appearance of the %D line on the chart, including line width and color, to match your preferences.
Example: Setting an orange color and a thicker line width for the %D line can help differentiate it from the %K line, making crossover points easier to spot.
%D Fill Color (Below):
What it is: The fill color that appears below the %D line on the chart.
What it does: Adds visual clarity by shading the area below the %D line, making it easier to interpret bearish momentum.
Example: Using a light orange fill color below the %D line can highlight bearish conditions, making it visually easier to identify.
RSI & STOCHASTIC RSI OVERBOUGHT AND OVERSOLD LEVELS
Display of RSI & Stochastic with Overbought & Oversold Levels:
Display of RSI & Stochastic Overbought & Oversold Settings:
RSI & Stochastic Overbought & Oversold Levels Explanation
The Overbought (OB) and Oversold (OS) levels for RSI and Stochastic RSI indicators are key thresholds that help traders identify potential reversal points in the market. These levels are used to determine when an asset is likely overbought or oversold, which can signal a potential trend reversal.
RSI & Stochastic Overbought & Oversold Input Settings:
RSI & Stochastic Level 1 Overbought (OB) & Oversold (OS): Default: OB Level = 170, OS Level = 130
What it is: The first set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators.
What it does: When the RSI or Stochastic RSI crosses above the overbought level, it suggests that the asset might be overbought, potentially signaling a sell opportunity. Conversely, when these indicators drop below the oversold level, it suggests the asset might be oversold, potentially signaling a buy opportunity.
Example: If the RSI crosses above 170, traders might look for signs of a potential trend reversal to the downside, while a cross below 130 might indicate a reversal to the upside.
RSI & Stochastic Level 2 Overbought (OB) & Oversold (OS): Default: OB Level = 180, OS Level = 120
What it is: The second set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators.
What it does: These levels provide an additional set of reference points, allowing traders to differentiate between varying degrees of overbought and oversold conditions, potentially leading to more refined trading decisions.
Example: When the RSI crosses above 180, it might indicate an extreme overbought condition, which could be a stronger signal for a sell, while a cross below 120 might indicate an extreme oversold condition, which could be a stronger signal for a buy.
RSI & Stochastic Overbought (OB) Band Customization:
OB Level 1: Width, Style, and Color:
What it is: Customization options for the visual appearance of the first overbought band on the chart.
What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first overbought band, enhancing its visibility on the chart.
Example: A dashed red line with medium width can clearly indicate the first overbought level, helping traders quickly identify when this threshold is crossed.
OB Level 2: Width, Style, and Color:
What it is: Customization options for the visual appearance of the second overbought band on the chart.
What it does: Allows you to set the line width, style, and color for the second overbought band, providing a clear distinction from the first band.
Example: A dashed red line with a slightly thicker width can represent a more significant overbought level, making it easier to differentiate from the first level.
RSI & Stochastic Oversold (OS) Band Customization:
OS Level 1: Width, Style, and Color:
What it is: Customization options for the visual appearance of the first oversold band on the chart.
What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first oversold band, making it visually prominent.
Example: A dashed green line with medium width can highlight the first oversold level, helping traders identify potential buying opportunities.
OS Level 2: Width, Style, and Color:
What it is: Customization options for the visual appearance of the second oversold band on the chart.
What it does: Allows you to set the line width, style, and color for the second oversold band, providing an additional visual cue for extreme oversold conditions.
Example: A dashed green line with a thicker width can represent a more significant oversold level, offering a stronger visual cue for potential buying opportunities.
RSI DIVERGENCES
Display of RSI Divergence Labels:
Display of RSI Divergence Settings:
RSI Divergence Lookback Explanation
The RSI Divergence settings allow traders to customize the parameters for detecting divergences between the RSI (Relative Strength Index) and price action. Divergences occur when the price moves in the opposite direction to the RSI, potentially signaling a trend reversal. These settings help refine the accuracy of divergence detection by adjusting the lookback period and range. ( NOTE: This setting only imply to the RSI. This doesn't effect the STOCHASTIC RSI. )
RSI Divergence Lookback Input Settings:
Lookback Left: Default: 10
What it is: The number of bars to look back from the current bar to detect a potential divergence.
What it does: Defines the left-side lookback period for identifying pivot points in the RSI, which are used to spot divergences. A longer lookback period may capture more significant trends but could also miss shorter-term divergences.
Example: A setting of 10 bars means the script will consider pivot points up to 10 bars before the current bar to check for divergence patterns.
Lookback Right: Default: 1
What it is: The number of bars to look forward from the current bar to complete the divergence pattern.
What it does: Defines the right-side lookback period for confirming a potential divergence. This setting helps ensure that the identified divergence is valid by allowing the script to check subsequent bars for confirmation.
Example: A setting of 1 bar means the script will look at the next bar to confirm the divergence pattern, ensuring that the signal is reliable.
Lookback Range Min: Default: 5
What it is: The minimum range of bars required to detect a valid divergence.
What it does: Sets a lower bound on the range of bars considered for divergence detection. A lower minimum range might capture more frequent but possibly less significant divergences.
Example: Setting the minimum range to 5 ensures that only divergences spanning at least 5 bars are considered, filtering out very short-term patterns.
Lookback Range Max: Default: 60
What it is: The maximum range of bars within which a divergence can be detected.
What it does: Sets an upper bound on the range of bars considered for divergence detection. A larger maximum range might capture more significant divergences but could also include less relevant long-term patterns.
Example: Setting the maximum range to 60 bars allows the script to detect divergences over a longer timeframe, capturing more extended divergence patterns that could indicate major trend reversals.
RSI Divergence Explanation
RSI divergences occur when the RSI indicator and price action move in opposite directions, signaling potential trend reversals. This section of the settings allows traders to customize the appearance and detection of both regular and hidden bullish and bearish divergences.
RSI Divergence Input Settings:
R. Bullish Div Label: Default: True
What it is: An option to display labels for regular bullish divergences.
What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the RSI makes a higher low, indicating a potential upward reversal.
Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence suggests the trend may be reversing.
Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bullish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Selecting a green label color and a distinct line width makes bullish divergences easily recognizable on your chart.
R. Bearish Div Label: Default: True
What it is: An option to display labels for regular bearish divergences.
What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the RSI makes a lower high, indicating a potential downward reversal.
Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence suggests the trend may be reversing.
Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bearish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Choosing a red label color and a specific line width makes bearish divergences clearly stand out on your chart.
H. Bullish Div Label: Default: False
What it is: An option to display labels for hidden bullish divergences.
What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the RSI makes a lower low, indicating potential continuation of an uptrend.
Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence signals continued buying strength.
Hidden Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bullish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A softer green color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information.
H. Bearish Div Label: Default: False
What it is: An option to display labels for hidden bearish divergences.
What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the RSI makes a higher high, indicating potential continuation of a downtrend.
Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence signals continued selling pressure.
Hidden Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bearish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A muted red color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart.
Divergence Text Size and Color: Default: S (Small)
What it is: Settings to adjust the size and color of text labels for RSI divergences.
What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart.
Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart.
STOCHASTIC DIVERGENCES
Display of Stochastic RSI Divergence Labels:
Display of Stochastic RSI Divergence Settings:
Stochastic RSI Divergence Explanation
Stochastic RSI divergences occur when the Stochastic RSI indicator and price action move in opposite directions, signaling potential trend reversals. These settings allow traders to customize the detection and visual representation of both regular and hidden bullish and bearish divergences in the Stochastic RSI.
Stochastic RSI Divergence Input Settings:
R. Bullish Div Label: Default: True
What it is: An option to display labels for regular bullish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the Stochastic RSI makes a higher low, indicating a potential upward reversal.
Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence in the Stochastic RSI suggests the trend may be reversing.
Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bullish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Selecting a blue label color and a distinct line width makes bullish divergences in the Stochastic RSI easily recognizable on your chart.
R. Bearish Div Label: Default: True
What it is: An option to display labels for regular bearish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the Stochastic RSI makes a lower high, indicating a potential downward reversal.
Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence in the Stochastic RSI suggests the trend may be reversing.
Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bearish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Choosing an orange label color and a specific line width makes bearish divergences in the Stochastic RSI clearly stand out on your chart.
H. Bullish Div Label: Default: False
What it is: An option to display labels for hidden bullish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the Stochastic RSI makes a lower low, indicating potential continuation of an uptrend.
Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence in the Stochastic RSI signals continued buying strength.
Hidden Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bullish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A softer blue color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information.
H. Bearish Div Label: Default: False
What it is: An option to display labels for hidden bearish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the Stochastic RSI makes a higher high, indicating potential continuation of a downtrend.
Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence in the Stochastic RSI signals continued selling pressure.
Hidden Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bearish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A muted orange color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart.
Divergence Text Size and Color: Default: S (Small)
What it is: Settings to adjust the size and color of text labels for Stochastic RSI divergences.
What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart.
Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart.
Alert System:
Custom Alerts for Divergences and Reversals:
What it is: The script includes customizable alert conditions to notify you of detected divergences or potential reversals based on WaveTrend, RSI, and Stochastic RSI.
What it does: Helps you stay informed of key market movements without constantly monitoring the charts, enabling timely decisions.
Example: Setting an alert for regular bearish divergence on the WaveTrend could notify you of a potential sell opportunity as soon as it is detected.
How to Use Alerts:
Set up custom alerts in TradingView based on these conditions to be notified of potential trading opportunities. Alerts are triggered when the indicator detects conditions that match the selected criteria, such as divergences or potential reversals.
By following the detailed guidelines and examples above, you can effectively use and customize this powerful indicator to suit your trading strategy.
For further understanding and customization, refer to the input settings within the script and adjust them to match your trading style and preferences.
How Components Work Together
Synergy and Cross-Validation: The indicator combines multiple layers of analysis to validate trading signals. For example, a WaveTrend buy signal that coincides with a bullish divergence in RSI and positive fast money flow is likely to be more reliable than any single indicator’s signal. This cross-validation reduces the likelihood of false signals and enhances decision-making.
Comprehensive Market Analysis: Each component plays a role in analyzing different aspects of the market. WaveTrend focuses on trend strength, Money Flow indicators assess market sentiment, while RSI and Stochastic RSI offer detailed views of price momentum and potential reversals.
Ideal For
Traders who require a reliable, multifaceted tool for detecting market trends and reversals.
Investors seeking a deeper understanding of market dynamics across different timeframes and conditions, whether in forex, equities, or cryptocurrency markets.
This script is designed to provide a comprehensive tool for technical analysis, combining multiple indicators and divergence detection into one versatile and customizable script. It is especially useful for traders who want to monitor various indicators simultaneously and look for convergence or divergence signals across different technical tools.
Acknowledgements
Special thanks to these amazing creators for inspiration and their creations:
I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible!
vumanchu: VuManChu Cipher B Divergences.
MisterMoTa: RSI + Divergences + Alerts .
DevLucem: Plain Stochastic Divergence.
Note
This indicator is designed to be a powerful tool in your trading arsenal. However , it is essential to backtest and adjust the settings according to your trading strategy before applying it to live trading . If you have any questions or need further assistance, feel free to reach out.
[FXAN] 75 Cygni Algorithm (Day Trading)⚜️ FXAN CYGNI INDICATORS ORIGINALITY
Originality comes from proprietary formula we use to measure the relationship between Volume and Price Volatility in relation to overall current market positioning in developing Volume Profile and multiple custom period Volume Profiles. We combine that with our own approach to measure price velocity in correlation to average daily/weekly/monthly ranges of the given market.
The relationship between current volume and price volatility gives us information about how much the volume that is currently coming into the market affects the price movement (volatility) and which side is more dominant/involved in the market (Buyers/Sellers). We call this the " Volume Impact " factor.
This information is then compared in relation to overall current market positioning in developing Volume Profile and Multiple custom period Volume Profiles. We have created a rating system based on current price positioning in relation to the Volume Profile. Volume profile consists of different volume nodes, high volume nodes where we consider market interest to be high (a lot of transactions - High Volume) and low volume nodes where we consider market interest to be low (not a lot of transactions - Low Volume). We call this the current " Market Interest " factor.
We combine this information with our own approach to measure price velocity in correlation to the higher-timeframe price ranges. Calculation is done by measuring current ranges of market movement in correlation to average daily/weekly/monthly ranges. We call this " Price Velocity " factor.
This approach was applied to develop key components of our Tradingview Indicators, we've simplified some of the calculations and made them easy to use by programming them to display buying/selling volume pressure with colors.
In addition to our own proprietary formulas and criterias to measure volume impact on price, we've also used an array of indicators that measure the percentage change in volume over custom specified periods of time, including custom period ranged Volume Profile, Developing VA, Accumulation/Distribution (A/D Line), Volume Rate of Change (VROC), Volume Price Trend (VPT) - all of them with of course fine-tuned settings to fit the purpose in the overall calculation.
Reasons for multiple indicator use:
Custom period ranged Volume Profiles: To determine current interest of market participants. Used for " Market Interest "
Developing VA: To determine current fair price of the market (value area). Used for " Market Interest ".
Accumulation/Distribution (A/D Line): Helping to gauge the strength of buying and selling pressure. Used for " Volume Impact "
Volume Rate of Change (VROC): To give us information about percentage change in volume. Used for " Volume Impact "
Volume Price Trend (VPT): To help identify potential trends. Used for " Volume Impact ".
Average True Range (ATR): Used for measuring volatility. Used for " Volume Impact " and " Price Velocity" .
Average Daily Range (ADR): Used for measuring average market price movement. Used for " Price Velocity ".
How it all works together:
"Volume Impact" factor tells us the influence of incoming market volume on price movement. This information alongside the overall market positioning information derived from "Market Interest" factor combined with information about speed and direction relative to higher-timeframe price ranges frin "Price Velocity.
This is the basis of our proprietary developed Volume Dynamics analysis approach
"Volume Impact" x "Market Interest" x "Price Velocity"
Combining this factors together gives a good overall understanding of which side is currently more involved in the market to gauge the direction ("Volume Impact"), where the market is currently positioned to gauge the context ("Market Interest") and what the current market's momentum to improve the timing of our trades ("Price Velocity"). This increases our probabilities for successful trades, executed with good timing.
To simplify - our indicators will always analyze the volume behind every price movement and rate those movements based on the relationship between movement distance and volume behind it through an array of criterias and rate them.
Colors displayed by the indicators will be a result of that, suggesting which side of the market (Buyers or sellers) is currently more involved in the market, aiming to increase the probabilities for profitable trades. With the help of our indicators you have deep volume analysis behind price movements done without looking at anything else then indicator components.
🔷 OVERVIEW
Cygni 75 Algorithm is a TradingView indicator crafted to refine your market analysis and assist in identifying potential entry and exit points by analyzing the underlying volume behind market movements. It helps you determine the overall daily context of the market and its conditions/trends by offering a suite of features tailored to provide insights to traders across various market conditions.
🔷 KEY FEATURES
▊ Candle Coloring
▊ Deviation Bands
▊ Momentum Bar | on the bottom of the chart
▊ Area of Interest (AOI) | Yellow rectangle
🔷 HOW DOES IT WORK?
□ Candles will color in reference to the dominance of buyers or sellers based on underlying volume calculated by a proprietary formula. The green color indicates that buyers are in control, and the red color indicates the selling volume is dominating the market. To simplify, green means there's more buying - red means there's more selling.
□ Deviation bands are used to determine potential trade entries and exits, derived by average price weighted by volume.
□ Momentum Bar shows market momentum by analyzing the differences between multiple moving averages. Green is bullish; red is bearish. The colors will lighten up when momentum is strong, and once the market slows down, they will get darker.
□ Area of Interest (AOI) is used for contextual reference, derived from the previous day's market movements. They remain static throughout the current day.
🔷 HOW TO USE IT?
□ In general, we look for areas where all components are in sync. This are valid trading signals (refer to the usage example below).
□ Candle Colors: Looking for longs when the candles are green, and looking for shorts when the colors are red
□ Deviation Bands: Once we enter the trade, we can place the SL and TP levels at the closest bands.
□ Momentum Bar: Helps with the timing of the entry, looking to enter on light Green/Red colors. Longs when green and shorts when red.
□ Area Of Interest: Generally, we're expecting rotational conditions inside the area and breakouts above/below once the market price gets outside of it. Longs above the area and shorts below the area for breakouts.
🔷 COMBINING THE COMPONENTS
Each component of the indicator serves it's own purpose and analyzes the market from it's own perspective and with its own custom settings and formulas (one looks at trading direction from the perspective of the overall trend and the other looks at price volatility to measure momentum - different perspectives). The calculation of the individual component is done independently from other components. Once all of them align we're able to execute trades with edge as it signals that different aspects of volume and price analysis line up for the trading opportinity.
- Candle Colors are used for determining trading direction
- Deviation bands are used for determining TP/SL levels
- Momentum bar is used to for better timing of your entries/exits.
- AOI is used to help you determine potential market conditions
It's important to combine the components to increase the probability of success - here's how you should look for a trade:
1. Determine the direction you want to trade in with the help of Candle Colors
2. Assess the current market price in reference to AOI - look for longs if the price is above the AOI, shorts if the price is below AOI, and rotations if it's inside the AOI.
3. Wait for the right momentum to develop to improve the timing of the entry by using Momentum Bar.
4. Place TP/SL levels with the help of Deviation bands based on your risk appetite.
A valid example of the trade would be:
- Green Candle Colors (indicating longs)
- Market price is currently above the AOI or breaking the edge of AOI in the upside movement (indicating longs)
- Momentum Bar is Green (indicating long momentum)
- Placing SL to the closest Deviation Band below the price and TP to the closest Deviation Band above the price.
📊 USAGE EXAMPLES
Power Of Stocks - Bollinger Band & 5Ema Indicator - Keanu_RiTz
Power of Stocks - Bollinger band & 5ema Strategy
In this script you get to take Buy/Sell trades using the 3 options mentioned below.(Alerts with price levels for buy/sell at , SL & Target are included in this one)
1. Combined Strategy :- uses confirmation from both strategies to trade.
2. Bollinger band Strategy :- use the Bollinger band Strategy to trade.
3. 5ema Strategy :- use the 5ema Strategy to trade.
1. Combined Strategy :-
for Selling :- we will go short/sell only when conditions of both strategies are satisfied.
i.e. when a candle is completely above the upper Bollinger band & completely above the 5ema then it will be our Alert Candle.
We Short/Sell only when the low of the Alert candle is broken or when the candle closes below the close of the Alert Candle.
SL will be above high of the Alert Candle. Target will be minimum 1:3 or as per your emotions.
for Buying:- we will go Long/Buy only when conditions of both strategies are satisfied.
i.e. when a candle is completely below the lower Bollinger band & completely below the 5ema then it will be our Alert Candle.
We go Long/Buy only when the high of the Alert candle is broken or when the candle closes above the close of the Alert Candle.
SL will be below low of the Alert Candle. Target will be minimum 1:3 or as per your emotions.
2. Power of Stocks - Bollinger Band Strategy :-
Bollinger band with standard deviation = 1.5
when a candle is completely above the upper Bollinger band, that candle will be called a signal/alert candle.
Initiate a Sell trade when that alert candles low is broken. SL will be above high of that alert candle.
Risk to reward ratio will be 1:4 i.e. target will be 4 times the SL.
when a candle is completely below the lower Bollinger band, that candle will be called a signal/alert candle.
Initiate a Buy trade when that alert candles high is broken. SL will be below low of that alert candle.
Risk to reward ratio will be 1:4 i.e. target will be 4 times the SL.
other rules for Options buying:- minimum 15min timeframe
The day you initiate the position , you should be in profit above 10%-15% then only you should carry forward that position overnight, otherwise squareoff your trade on that day only.
Buy ATM or slightly OTM, SL max 100 points , target 1:4
for Long-term/Investing :- Minimum Weekly
If candle is outside the lower band then initiate a Buy trade when that candles High is broken. Sl will be below Low of that candle.
for Long-term Target will be according to your emotions.
3. Power of Stocks - 5ema Strategy (target minimum 1:3)
Timeframe -
5 min for Selling (Sell Futures/index/stocks or buy Put)
15 min for Buying (Buy Futures/index/stocks or sell Put)
for selling stocks :-
you should enter trade within 10am , don't look for entries after that time. take only 2 entries a day.
for selling Index(Banknifty) :-
you can take trade at anytime of the day whenever conditions get satisfied. you can take multiple entries in banknifty as it is very volatile.
for options choose atm strikes: selling trade
sl for premium between 200-300 :- 20-30 points SL
sl for premium between 400-500 :- 40-50 points SL
sl for premium between 500-600 :- 50-60 points SL
Subhashish Pani's (power of stocks) 5 EMA Strategy:-
It plots 5 EMA and Buy/Sell signals with Target & Stoploss levels.
What is Subhashish Pani's (power of stocks) 5 EMA Strategy :-
His strategy is very simple to understand. for intraday use 5 minutes timeframe for selling. You can sell futures, sell call or buy Puts in selling strategy.
What this strategy tries to do is , it tries to catch the tops, so when you sell at top & it turns out to be a reversal point then you can get good profit.
this will hit stop losses often, but stop losses are small and minimum target should be 1:3. but if you stay with the trend you can get big profits.
According to Subhashish Pani this strategy has 60% success rate.
Strategy for Selling (Short future/Call/stock or buy Put)
When ever a Candle closes completely above 5 ema (no part of candle should be touching the 5ema), then that candle should be considered as Alert Candle.
If the next candle is also completely above 5 ema and it has not broken the low of previous alert candle, Then the previous Alert Candle should be ignored and the new candle should be considered as new Alert Candle.
so if this goes on then continue shifting the Alert Candle, but whenever the next candle breaks the low of the Alert Candle we should take the Short trade (Short future/Call/stock or buy Put).
Stoploss will be above high of the Alert Candle and minimum target will be 1:3.
Strategy for Buying (Buy future/Call/stock or sell Put)
When ever a Candle closes completely below 5 ema (no part of candle should be touching the 5ema), then that candle should be considered as Alert Candle.
If the next candle is also completely below 5 ema and it has not broken the high of previous alert candle, Then the previous Alert Candle should be ignored and the new candle should be considered as new Alert Candle.
so if this goes on then continue shifting the Alert Candle, but whenever the next candle breaks the high of the Alert Candle we should take the Long trade (Buy future/Call/stock or sell Put).
Stoploss will be below low of the Alert Candle and minimum target will be 1:3.
Buy/Sell with extra conditions :
it just adds 1 more condition to buying/selling
1. checks if closing of current candle is lower than alert candles closing for Selling & checks if closing of current candle is higher than alert candles closing for Buyling.
This can sometimes save you from false moves but by using this, you can also miss out on big moves as you'll enter trade after candle closing instead of entering at break of high/low.
Note :- According to Subhashish Pani Timeframe for intraday buying should be 15 minutes Timeframe.
If you haven't understood the strategy by reading above description, then search for "Subhashish Pani's (power of stocks) 5 EMA Strategy" on YouTube to get a deeper understanding.
Note:- This is not only for Intraday trading , you can use this strategy for Positional/Swing trading as well. If you use this on Monthly Timeframe then it can be very good for Long Term Investing as well.
Rules will be same for all types of trades & Timeframes.
Accumulated Net ValueThe Concept:
Accumulated Net Value (ANV) is an indicator that gauges buying/selling strength by looking at whether the closing price is closer to the high or the low. It’s like a tug of war - if buyers are more dominant, then the closing price should be closer to the high; and if sellers are more dominant, then the closing price should be closer to the low.
Additional adjustments are implemented to address price gaps. The indicator first compares the high and low of the current bar with the previous bar, and then use the higher high/lower low among the current and previous bars to calculate the distance from the closing price.
Price is only part of the equation. We know that volume is also an important factor when considering the strength of buyers and sellers. The ANV indicator takes volume into account by multiplying volume with the difference between the closing price and the high or low (depending on which one is more dominant). This generates the ANV for one bar, where such one-bar ANV will have a positive value during buyer-dominant conditions, and a negative value during seller-dominant conditions.
Since ANV for only one bar can be quite choppy, this indicator further adds the ANV of N bars together to get the final ANV signal, and then applies a simple moving average (SMA) to it.
The Variables:
This indicator has two inputs: (1) N bars of Accumulation, and (2) SMA Length.
N bars of Accumulation determines how many bars of ANV values are added together. SMA Length determines the length of SMA applied to the final ANV.
For daily charts, I use “5” or “10” for N bars of accumulation and “20” for SMA length.
For weekly charts, I use “4” for N bars of accumulation and “10” for SMA length.
The user will have to do some testing to see which numbers suit their needs. Smaller values are more sensitive and move faster, but show more choppiness and false signals. Larger values tend to be more reliable, but are slow to react to price movements.
The Signals:
Trading signals can be generated by comparing the ANV with either the SMA or the zero line:
- ANV above SMA: bullish;
- ANV below SMA: bearish;
- ANV above zero: bullish;
- ANV below zero: bearish.
Given that SMA signals are generally triggered earlier than the zero line signals, aggressive traders can trade based on the SMA line, while more conservative traders can trade based on the zero line (i.e., waiting for ANV to turn positive or negative).
Hunt Bitcoin CoT Buy/Sell signalWhy Bother another CoT signal?
Its different & focused on the Insider's.
Performance -
This Indicator provided a
1. Signal 1 = 26th March 2019 = SUPER LONG at $4,500 that saw a near $14,000 run up
2. Signal 2 = 18th & 24th June 2019 = SHORT at the second & final level $11,700 after repeated attempts & failure in the $13K range, the mini Echo Bitcoin Bull of 2019
3. Signal 3 = 17th December 2019 = LONG $6,900, Bitcoin rallied to Mid $10,500's
4. Signal 4 = 18th Feb 2020 = SUPER SHORT from $9,700's to a final extreme Low of $3,000, calling the CV-19 collapse
5. Signal 5 = 17th March 2020 = LONG from $5,400 no closure point yet
6. Signal 6 = 29th June 2020 = SUPER LONG reiterate from $10,700 no closure sell signal yet
7. Signal 7 = 17th May 2020 = LONG another accumulate LONG with no sell signal yet generated at Post H&S's low of $33,000
Note - This indicator only commences March 2019, as Bitcoin futures were a recent introduction and needed to settle for 6 months in both use and data, no signals were meaningful prior & data was light.
What is Provided. - Please note the need to also add the Hunt Bitcoin Historical Volatility Indicator for full understanding.
We provide 3 things with the 3 indicators.
'Insider' indications from Largest players in the futures market.
1. Bitcoin Macro Buy Signals.
a) The Bitcoin Commitment of Traders results see us focus solely on Largest 4 Short Open Interest & Largest 4 Long Open Interest aspects of the CoT Release data.
When the difference - is tight, a kind of pinch, these have been great Buy signals in Bitcoin.
We call this difference the Delta & When Delta is 5% or less Bitcoin is a Buy.
2. Bitcoin Macro Sells.
a) A sell signal is Triggered in Bitcoin at any point the Largest 4 short OI > or = to 70
3. AMPLIFIER Trade signals 'Super' Longs or Shorts -
Extreme low volatility events leads to highly impulsive & volatile subsequent moves, if either of 1 or 2 above occur, combined with extreme low volatility
a 'Super Long' or 'SUPER SELL' is generated. In the case of the short side, given Bitcoins general expansive and MACRO Bull trend since inception, we seek an additional component
that is an extreme differential/Delta reading between 4 biggest Longs & Shorts OI.
Namely CoT Delta also must be > 47.5%
We also have a Cautionary level, where it is not necessarily a good idea to accumulate Bitcon, as a better opportunity lower may avail itself, see conditions below.
So the required logic explicitly stated below for all Signals.
1. Long - Hunt Bitcoin CoT Delta < or = 5
2. SUPER Long - Hunt Bitcoin CoT Delta < or = 5; and 2 Day Historical Bitcoin Volatility = or < 20
3. Short - Largest 4 Sellers OI = or > 70
4. SUPER Short - Largest 4 Sellers OI = or > 70; AND..
Hunt Bitcoin CoT Delta = or > 47.5 AND 2 Day Historical BTC Volatility = or < 20
5. Caution - Largest 4 Sellers OI = or > 67.5 AND Hunt Bitcoin CoT Delta = or > 45
WARNING SEE Notes Below
Note 1 - = Largest 4 Open Interest Shorts
Note 2 - = Largest 4 Open Interest Longs
Note 3 - = Hunt Cot Delta = (Largest 4 sellers OI) -( Largest 4 Buyers OI)
Caution = Avoid new Bitcoin Accumulation Right Now, A sell signal might follow Enter on next Long
Note 4 - The Hunt Bitcoin COT Delta signal is a Largest 'Insider' Tracking tool based on a segment of Commitment of Traders data on Bitcoin Futures, released once a week on a Friday.
It is a Macro Timeframe signal , and should not be used for Day trading and Short Timeframe analysis , Entries may be optimised after a Hunt Bitcoin CoT Signal is generated by separate shorter Timeframe analysis.
Note 5 - The Historical Bitcoin Volatility is an additional 'Amplifier' component to the 'Hunt Bitcoin Cot Delta' Insider Signal
Note 6 - The Historical Bitcoin Volatility criteria varies by timeframe, the above levels are those applying on a Two Day TF Chart, select this custom timeframe in Trading View.
if additional criteria are met for LONG & SHORT insider signals, they may become 'Super Longs/Shorts', see conditions box above.
Whale Trading SystemThis script is an advanced version of the distributional blocks script.
In distributional buys and sells:
I used a high - low cloud filter, which makes it more prudent to sell the next sell higher for sells and to buy the next purchase lower for buys.
I also used the Stochastic Money Flow Index function because it also uses volume to separate regions.
The long period is 52 weeks, which is equal to one year,
The short period is one-fourth of its value, which is equal to a financial quarter.
Then the values calculated with these periods are calculated by stochastic - rsi logic within the function, giving us two averages and separating the regions according to crossovers and crossunders .
In buys and sales, the higher your next distributional position size makes your profit more .
In the old system, there was a confusion as it was not divided into zones.
Because we divide into zones here, zone changes are the last stop to free up existing positions, and you must reopen each time you change zones.
And I changed standard distribution days, depending on the price change and the histogram, as StochMFI also took into account the volume.
In this way, there is sustainability.
I am also sharing my educational idea that explains the logic of this system in more detail :
Now that we have been divided into regions, a maximum of 10 pieces will suffice us.
And the regional shifts will allow us to sell and buy all of our position size, and now we will feel much more comfortable.
The most timeframe I find most accurate are the weekly bars.
Even in the example, we see how we have benefited from the sharp drop in bitcoin, while the price is falling, and we have lowered the average with higher-weight purchases than the previous one.
In both buys and sales here, both the histogram intensities and the average of the purchases you have reduced with the transactions, or the earnings you have increased with the sales, guide you.
In areas with high volatility ,if we adjust our positions properly, even if we follow the changes in the region, we will get rid of those situations with few wounds and we will surely catch the trend!
NOTE : Crossover/crossunder and distributional buy/sell alerts added.
Best regards , Noldo.
Smart Money Concepts Mastering Smart Money Concepts: An Exhaustive Guide to the Indicator
As a trader who lives and breathes the markets, I know that understanding the true dynamics behind price movements is what gives us an edge. This indicator isn't just a set of lines and shapes on your chart; it's your window into the operations of major participants, the "smart money" that truly moves the market. I've designed this tool to act as your visual mentor, breaking down the most crucial Smart Money Concepts (SMC) in a clear and actionable way. Get ready to view the market with a fresh perspective.
Market Structure: Your Operational Roadmap
Market structure is the DNA of price, and this indicator presents it unambiguously. Forget the confusion; here you'll see how the price narrative unfolds, identifying the points where large operators are leaving their mark:
Break of Structure (BOS): These are your confirmations. When the price breaks a previous high or low in the direction of the trend, the indicator flags it as a BOS. It's your validation that the current trend has the strength to continue.
Internal BOS: Think of these as the small "steps" within a larger move. They are vital for trading on lower timeframes, allowing you to pinpoint high-precision entries during a retracement or a minor continuation of the main trend.
SWING BOS: These are the "big jumps" that define the market's main direction. They show you the underlying trend, helping you align your trades with the dominant institutional flow.
Change of Character (CHoCH): This is where the price story begins to shift. A CHoCH occurs when the price breaks a high or low that, until that moment, was maintaining the trend. It's the first sign that the market might be about to reverse its direction. Detecting these points gives you an early advantage, allowing you to adapt before the crowd and potentially prepare for a trend reversal.
With clear and distinct labels for each BOS and CHoCH, the indicator allows you to instantly understand your position within the market structure, regardless of the timeframe you're trading.
Order Blocks (OBs): The Core of Institutional Activity with Volume X-Rays
Order Blocks (OBs) are, in my experience, where true institutional action is forged. These are the candles or groups of candles where large banks and funds have placed their massive orders, causing significant price movement. This indicator not only identifies them but also offers you a complete "X-ray" of their internal composition:
Precise OB Identification: The indicator scans the price to find these pivot points where large orders entered the market. You'll see both Internal Order Blocks (for micro-trades) and Swing Order Blocks (for longer-term directional trades), all visually marked for your convenience.
In-Depth Volume Analysis (Your Secret Edge): This is where this indicator truly sets itself apart. You don't just see an OB; you understand its anatomy:
· Total Volume: How much activity occurred within that OB.
·Buy Volume: How much buying pressure existed.
·Sell Volume: How much selling pressure was exerted.
·Delta: The crucial difference between buy and sell volume. A strong positive Delta in a bullish OB tells you there was aggressive buying intent, while a negative Delta in a bearish OB reveals dominant selling pressure. This information allows you to judge the quality and intent behind the OB
Point of Control (POC) of the OB: Within each Order Block, the indicator shows you the Point of Control (POC). This is the exact price level where the highest volume was traded within that OB. Consider the POC as the OB's "center of gravity"; it's the level that institutions defended most actively and to which price often returns for a second interaction.
Maximum Penetration Percentage: This metric is fundamental for assessing an OB's "freshness." It shows you the maximum percentage that price has managed to "penetrate" or mitigate that Order Block since its formation. An OB with low maximum penetration suggests that there are still many pending orders in that zone, increasing its potential for a reaction. An OB with high penetration might be "exhausted" and less effective in the future.
Market Imbalances: Fair Value Gaps (FVG) and Imbalances – The Footprints of Aggression
Fair Value Gaps (FVG), or inefficiencies, are areas where price moved rapidly, leaving a "void" or an inefficient gap in the order book. These are zones that Smart Money often seeks to fill. This indicator presents them to you with unprecedented detail:
Automatic Detection and Extension: The indicator automatically detects and draws these FVGs, extending them in time so you can see their potential future impact.
Intelligent Classification (FVG vs. Imbalance): Not all imbalances are created equal. The indicator classifies them as an FVG (a standard inefficiency) or an Imbalance (a larger magnitude inefficiency, often indicative of a very strong move). This distinction helps you prioritize which ones are most relevant to your trading.
Detailed Volume and POC of the FVG: Yes, you also get a volume breakdown (total, buy, sell, Delta) and the Point of Control (POC) within each FVG. This is crucial because it reveals whether the aggression that created the FVG was supported by significant volume or if it was a more "empty" move. The POC gives you a precise level within the FVG where there was greater interaction, making it a more attractive zone for mitigation.
Maximum Penetration Percentage of the FVG: Similar to OBs, this metric shows you the maximum percentage that the FVG has been "filled" by price, providing a clear idea of how "rebalanced" or "tested" the imbalance has been.
Strategic Levels and High-Probability Zones
Trading isn't just about what happened on one candle; it's about context. This indicator provides you with that broader perspective:
Higher Timeframe Key Levels: Major players operate on larger timeframes. The indicator marks the past daily, weekly, and monthly highs and lows. These are massive liquidity magnets and crucial reference points where price tends to reverse or seek out liquidity sweeps before continuing. Having them on your chart is like having a map of liquidity pools.
Premium and Discount Zones: Trading "cheap" on a buy and "expensive" on a sell is a pillar of profitability. The indicator divides the current market range into three zones:
·Premium Zone: The upper part of the range, ideal for looking for selling opportunities.
·Equilibrium Zone: The midpoint, where the market often consolidates.
·Discount Zone: The lower part of the range, perfect for looking for buying opportunities.
Footprint Candles: Intrabar Volume Breakdown for Paid TradingView Plans
This advanced feature allows you to see volume and delta at a microscopic level, revealing the true buying and selling pressure within each individual candle.
Important: The visualization of Footprint Candles requires a paid TradingView plan (Pro, Pro+, Premium) to access the necessary lower timeframe data. If you don't have a paid plan, this functionality will not be displayed.
Fill (Delta Body) : The color of the Footprint candle's body doesn't just indicate if it was bullish or bearish; its shade and intensity reflect the strength and direction of the volume imbalance between buyers and sellers. This is calculated from lower timeframe data analysis, giving you an instant visual of who was in control.
Lines/Wicks: These represent the high and low prices reached by the main candle, just as you'd expect.
Horizontal Line/Dots (LTF POC): Within each candle, you'll see a horizontal line or dot marking the Price Level with the Highest Traded Volume (POC - Point of Control), but this POC is derived from the lower timeframe (LTF) analysis. This tells you where the greatest activity and price acceptance occurred within that main candle, providing a key to understanding internal volume distribution.
Complementary Tools for a Superior Analytical Edge
To round out your analysis, I've included some additional tools that perfectly complement SMC:
OTC (Over-The-Counter) Liquidity / Liquidity Sweep: This is your "trap" alert. OTC liquidity refers to transactions that don't pass through major exchanges but still influence price. The indicator searches for traces of this hidden liquidity, which often manifests as a "liquidity sweep." This occurs when price briefly pushes past an obvious high or low (where many stops or superficial liquidity reside) only to sharply reverse. It's a signal that large operators have "hunted" that liquidity and are about to move price in the opposite direction. Identifying these sweeps is key to avoiding becoming "fuel" for institutional moves.
Dynamic Fibonacci: A Fibonacci that doesn't stay static. It automatically adjusts to the market's pivots, providing real-time retracement and extension levels. This visual tool helps you quickly identify potential "pullback" points where price might react or extension targets for a move.
Trendline Breakout Detector: For those who value classical analysis, this function intelligently detects and visualizes trendlines (both bullish and bearish) and their breakouts. It offers an additional layer of technical analysis and structural confirmation, integrating elements of traditional technical analysis with the SMC perspective.
A Final Thought (From Trader to Trader):
Remember, no tool is a crystal ball. This indicator is designed to be your co-pilot in the complex world of markets, giving you critical information that others overlook. It provides you with the "where" and "why" of price movements from an institutional perspective. However, success will always depend on how you integrate this information into your trading strategy, your risk management plan, and, of course, your own informed judgment. Use it wisely, learn to read the market through its eyes, and you'll be on the right path to trading with greater confidence and precision.
Volume pressure by GSK-VIZAG-AP-INDIA🔍 Volume Pressure by GSK-VIZAG-AP-INDIA
🧠 Overview
“Volume Pressure” is a multi-timeframe, real-time table-based volume analysis tool designed to give traders a clear and immediate view of buying and selling pressure across custom-selected timeframes. By breaking down buy volume, sell volume, total volume, and their percentages, this indicator helps traders identify demand/supply imbalances and volume momentum in the market.
🎯 Purpose / Trading Use Case
This indicator is ideal for intraday and short-term traders who want to:
Spot aggressive buying or selling activity
Track volume dynamics across multiple timeframes *1 min time frame will give best results*
Use volume pressure as a confirming tool alongside price action or trend-based systems
It helps determine when large buying/selling activity is occurring and whether such behavior is consistent across timeframes—a strong signal of institutional interest or volume-driven trend shifts.
🧩 Key Features & Logic
Real-Time Table Display: A clean, dynamic table showing:
Buy Volume
Sell Volume
Total Volume
Buy % of total volume
Sell % of total volume
Multi-Time frame Analysis: Supports 8 user-selectable custom time frames from 1 to 240 minutes, giving flexibility to analyze volume pressure at various granularities.
Color-Coded Volume Bias:
Green for dominant Buy pressure
Red for dominant Sell pressure
Yellow for Neutral
Intensity-based blinking for extreme values (over 70%)
Dynamic Data Calculation:
Uses volume * (close > open) logic to estimate buy vs sell volumes bar-by-bar, then aggregates by timeframe.
⚙️ User Inputs & Settings
Timeframe Selectors (TF1 to TF8): Choose any 8 timeframes you want to monitor volume pressure across.
Text & Color Settings:
Customize text colors for Buy, Sell, Total volumes
Choose Buy/Sell bias colors
Enable/disable blinking for visual emphasis on extremes
Table Appearance:
Set header color, metric background, and text size
Table positioning: top-right, bottom-right, etc.
Blinking Highlight Toggle: Enable this to visually highlight when Buy/Sell % exceeds 70%—a sign of strong pressure.
📊 Visual Elements Explained
The table has 6 rows and 10 columns:
Row 0: Headers for Today and TF1 to TF8
Rows 1–3: Absolute values (Buy Vol, Sell Vol, Total Vol)
Rows 4–5: Relative percentages (Buy %, Sell %), with dynamic background color
First column shows the metric names (e.g., “Buy Vol”)
Cells blink using alternate background colors if volume pressure crosses thresholds
💡 How to Use It Effectively
Use Buy/Sell % rows to confirm potential breakout trades or identify volume exhaustion zones
Look for multi-timeframe confluence: If 5 or more TFs show >70% Buy pressure, buyers are in control
Combine with price action (e.g., breakouts, reversals) to increase conviction
Suitable for equities, indices, futures, crypto, especially on lower timeframes (1m to 15m)
🏆 What Makes It Unique
Table-based MTF Volume Pressure Display: Most indicators only show volume as bars or histograms; this script summarizes and color-codes volume bias across timeframes in a tabular format.
Customization-friendly: Full control over colors, themes, and timeframes
Blinking Alerts: Rare visual feature to capture user attention during extreme pressure
Designed with performance and readability in mind—even for fast-paced scalping environments.
🚨 Alerts / Extras
While this script doesn’t include TradingView alert functions directly, the visual blinking serves as a strong real-time alert mechanism.
Future versions may include built-in alert conditions for buy/sell bias thresholds.
🔬 Technical Concepts Used
Volume Dissection using close > open logic (to estimate buyer vs seller pressure)
Simple aggregation of volume over custom timeframes
Table plotting using Pine Script table.new, table.cell
Dynamic color logic for bias identification
Custom blinking logic using na(bar_index % 2 == 0 ? colorA : colorB)
⚠️ Disclaimer
This indicator is a tool for analysis, not financial advice. Always backtest and validate strategies before using any indicator for live trading. Past performance is not indicative of future results. Use at your own risk and apply proper risk management.
✍️ Author & Signature
Indicator Name: Volume Pressure
Author: GSK-VIZAG-AP-INDIA
TradingView Username: prowelltraders
Volume Buy/Sell SplitVisually decompose each bar’s total volume into estimated “buy” and “sell” components, so you can instantly see which side—buyers or sellers—dominated on each candle.
Key Features
Total Volume Base
A solid grey histogram shows the absolute volume on every bar.
Buy vs. Sell Split
Buying Volume is calculated as
```volume × (close – low) / (high – low)```
Selling Volume is calculated as
```volume × (high – close) / (high – low)```
These estimates assume that when price closes near the high, more of that bar’s volume was “aggressive buying,” and vice versa.
Dynamic Stacking
The larger of the two components (buying vs. selling) is plotted directly on top of the grey base, in blue (if buying dominates) or yellow (if selling dominates).
The smaller component is plotted above that, in the complementary color, so the full column still represents total volume.
30‑Bar Average Marker
A thin purple line appears at the 30‑bar simple moving average of volume—but only on bars where volume exceeds that average—helping you spot volume spikes at a glance.
How to Interpret
Tall grey columns = high total volume bars.
Blue‑tinted sections = buying pressure; yellow‑tinted sections = selling pressure.
When the blue (buy) portion is larger, buyers had the upper hand; a larger yellow portion indicates sellers dominated.
Purple markers highlight bars where volume is above its 30‑period average, drawing your eye to unusually active sessions.
Usage Notes
Overlay: false (panel below price)
No external inputs to adjust—plug and play.
Ideal for spotting divergences between price and volume aggression, confirming breakouts, or identifying potential exhaustion moves when one side’s volume spikes.
Add this script to your charts to gain clear, color‑coded insights into buying vs. selling activity on every candle.
Volume Range Profile with Fair Value (Zeiierman)█ Overview
The Volume Range Profile with Fair Value (Zeiierman) is a precision-built volume-mapping tool designed to help traders visualize where institutional-level activity is occurring within the price range — and how that volume behavior shifts over time.
Unlike traditional volume profiles that rely on fixed session boundaries or static anchors, this tool dynamically calculates and displays volume zones across both the upper and lower ends of a price range, revealing point-of-control (POC) levels, directional volume flow, and a fair value drift line that updates live with each candle.
You’re not just looking at volume anymore. You’re dissecting who’s in control — and at what price.
⚪ In simple terms:
Upper Zone = The upper portion of the price range, showing concentrated volume activity — typically where selling or distribution may occur
Lower Zone = The lower portion of the price range, highlighting areas of high volume — often associated with buying or accumulation
POC Bin = The bin (price level) with the highest traded volume in the zone — considered the most accepted price by the market
Fair Value Trend = A dynamic trend line tracking the average POC price over time — visualizing the evolving fair value
Zone Labels = Display real-time breakdown of buy/sell volume within each zone and inside the POC — revealing who’s in control
█ How It Works
⚪ Volume Zones
Upper Zone: Anchored at the highest high in the lookback period
Lower Zone: Anchored at the lowest low in the lookback period
Width is user-defined via % of range
Each zone is divided into a series of volume bins
⚪ Volume Bins (Histograms)
Each zone is split into N bins that show how much volume occurred at each level:
Taller = More volume
The POC bin (Point of Control) is highlighted
Labels show % of volume in the POC relative to the whole zone
⚪ Buy vs Sell Breakdown
Each volume bin is split by:
Buy Volume = Close ≥ Open
Sell Volume = Close < Open
The script accumulates these and displays total Buy/Sell volume per zone.
⚪ Fair Value Drift Line
A POC trend is plotted over time:
Represents where volume was most active across each range
Color changes dynamically — green for rising, red for falling
Serves as a real-time fair value anchor across changing market structure
█ How to Use
⚪ Identify Key Control Zones
Use Upper/Lower Zone structures to understand where supply and demand is building.
Zones automatically adapt to recent highs/lows and re-center volume accordingly.
⚪ Follow Institutional Activity
Watch for POC clustering near price tops or bottoms.
Large volumes near extremes may indicate accumulation or distribution.
⚪ Spot Fair Value Drift
The fair value trend line (average POC price) gives insight into market equilibrium.
One strategy can be to trade a re-test of the fair value trend, trades are taken in the direction of the current trend.
█ Understanding Buy & Sell Volume Labels (Zone Totals)
These labels show the total buy and sell volume accumulated within each zone over the selected lookback period:
Buy Vol (green label) → Total volume where candles closed bullish
Sell Vol (red label) → Total volume where candles closed bearish
Together, they tell you which side dominated:
Higher Buy Vol → Bullish accumulation zone
Higher Sell Vol → Bearish distribution zone
This gives a quick visual insight into who controlled the zone, helping you spot areas of demand or supply imbalance.
█ Understanding POC Volume Labels
The POC (Point of Control) represents the price level where the most volume occurred within the zone. These labels break down that volume into:
Buy % – How much of the volume was buying (price closed up)
Sell % – How much was selling (price closed down)
Total % – How much of the entire zone’s volume happened at the POC
Use it to spot strong demand or supply zones:
High Buy % + High Total % → Strong buying interest = likely support
High Sell % + High Total % → Strong selling pressure = likely resistance
It gives a deeper look into who was in control at the most important price level.
█ Why It’s Useful
Track where fair value is truly forming
Detect aggressive volume accumulation or dumping
Visually split buyer/seller control at the most relevant price levels
Adapt volume structures to current trend direction
█ Settings Explained
Lookback Period: Number of bars to scan for highs/lows. Higher = smoother zones, Lower = reactive.
Zone Width (% of Range): Controls how much of the range is used to define each zone. Higher = broader zones.
Bins per Zone: Number of volume slices per zone. Higher = more detail, but heavier on resources.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Puts vs Longs vs Price Oscillator SwiftEdgeWhat is this Indicator?
The "Low-Latency Puts vs Longs vs Price Oscillator" is a custom technical indicator built for TradingView to help traders visualize buying and selling activity in a market without access to order book data. It displays three lines in an oscillator below the price chart:
Green Line (Longs): Represents the strength of buying activity (bullish pressure).
Red Line (Puts): Represents the strength of selling activity (bearish pressure).
Yellow Line (Price): Shows the asset’s price in a scaled format for direct comparison.
The indicator uses price movements, volume, and momentum to estimate when buyers or sellers are active, providing a quick snapshot of market dynamics. It’s optimized for fast response to price changes (low latency), making it useful for both short-term and longer-term trading strategies.
How Does it Work?
Since TradingView doesn’t provide direct access to order book data (which shows real-time buy and sell orders), this indicator approximates buying and selling pressure using commonly available data: price, volume, and a momentum measure called Rate of Change (ROC). Here’s how it combines these elements:
Price Movement: The indicator checks if the price is rising or falling compared to the previous candlestick. A rising price suggests buying (longs), while a falling price suggests selling (puts).
Volume: Volume acts as a "weight" to measure the strength of these price moves. Higher volume during a price increase boosts the green line, while higher volume during a price decrease boosts the red line. This mimics how large orders in an order book would influence the market.
Rate of Change (ROC): ROC measures how fast the price is changing over a set period (e.g., 5 candlesticks). It adds a momentum filter—strong upward momentum reinforces buying signals, while strong downward momentum reinforces selling signals.
These components are calculated for each candlestick and summed over a short lookback period (e.g., 5 candlesticks) to create the green and red lines. The yellow line is simply the asset’s closing price scaled down to fit the oscillator’s range, allowing you to compare buying/selling strength directly with price action.
Why Combine These Elements?
The combination of price, volume, and ROC is intentional and synergistic:
Price alone isn’t enough—it tells you what happened but not how strong the move was.
Volume adds context by showing the intensity behind price changes, much like how order book volume indicates real buying or selling interest.
ROC ensures the indicator captures momentum, filtering out weak or random price moves and focusing on significant trends, similar to how aggressive order execution might appear in an order book.
Together, they create a balanced picture of market activity that’s more reliable than any single factor alone. The goal is to simulate the insights you’d get from an order book—where you’d see buy/sell imbalances—using data available in TradingView.
How to Use It
Setup:
Add the indicator to your chart via TradingView’s Pine Editor by copying and pasting the script.
Adjust the inputs to suit your trading style:
Lookback Period: Number of candlesticks (default 5) to sum buying/selling activity. Shorter = more responsive; longer = smoother.
Price Scale Factor: Scales the yellow price line (default 0.001). Increase for high-priced assets (e.g., 0.01 for indices like DAX) or decrease for low-priced ones (e.g., 0.0001 for crypto).
ROC Period: Candlesticks for momentum calculation (default 5). Shorter = faster response.
ROC Weight: How much momentum affects the signal (default 0.5). Higher = stronger momentum influence.
Volume Threshold: Minimum volume multiplier (default 1.5) to boost signals during high activity.
Reading the Oscillator:
Green Line Above Yellow: Strong buying pressure—price is rising with volume and momentum support. Consider this a bullish signal.
Red Line Above Yellow: Strong selling pressure—price is falling with volume and momentum support. Consider this a bearish signal.
Green/Red Crossovers: When the green line crosses above the red, it suggests buyers are taking control. When the red crosses above the green, sellers may be dominating.
Yellow Line Context: Compare green/red lines to the yellow price line to see if buying/selling strength aligns with price trends.
Trading Examples:
Bullish Setup: Green line spikes above yellow after a price breakout with high volume (e.g., DAX opening jump). Enter a long position if confirmed by other indicators.
Bearish Setup: Red line rises above yellow during a price drop with increasing volume. Look for a short opportunity.
Reversal Warning: If the green line stays high while price (yellow) flattens or drops, it could signal overbought conditions—be cautious.
What Makes It Unique?
Unlike traditional oscillators like RSI or MACD, which focus solely on price momentum or trends, this indicator blends price, volume, and momentum into a three-line system that mimics order book dynamics. Its low-latency design (short lookback and no heavy smoothing) makes it react quickly to market shifts, ideal for volatile markets like DAX or forex. The visual separation of buying (green) and selling (red) against price (yellow) offers a clear, intuitive way to spot imbalances without needing complex data.
Tips and Customization
Volatile Markets: Use a shorter lookback (e.g., 3) and ROC period (e.g., 3) for faster signals.
Stable Markets: Increase lookback (e.g., 10) for smoother, less noisy lines.
Scaling: If the green/red lines dwarf the yellow, adjust Price Scale Factor up (e.g., 0.01) to balance them.
Experiment: Test on your asset (stocks, crypto, indices) and tweak inputs to match its behavior.
DenP Ichimoku Interpreter (DII)A simple indicator using Ishimoku as a basis, giving entry and exit signals.
Components of the Ichimoku Cloud
The Ichimoku system consists of multiple lines that help traders understand market trends, momentum, and potential reversals.
1. Tenkan-Sen (Conversion Line) - Blue
Formula: (Highest High + Lowest Low) / 2 over the last 9 periods (default).
Purpose: Measures short-term trend direction.
Interpretation:
Upward movement: Indicates bullish momentum.
Downward movement: Indicates bearish momentum.
Flat line: Indicates consolidation.
2. Kijun-Sen (Base Line) - Red
Formula: (Highest High + Lowest Low) / 2 over the last 26 periods (default).
Purpose: Represents medium-term trend.
Interpretation:
Price above Kijun-Sen: Bullish signal.
Price below Kijun-Sen: Bearish signal.
Flat Kijun-Sen: Market in consolidation.
3. Senkou Span A (Leading Span A) - Light Green
Formula: (Tenkan-Sen + Kijun-Sen) / 2, plotted 26 periods ahead.
Purpose: Forms one of the Ichimoku Cloud boundaries.
Interpretation:
If Senkou Span A is rising, the market is bullish.
If Senkou Span A is falling, the market is bearish.
4. Senkou Span B (Leading Span B) - Light Red
Formula: (Highest High + Lowest Low) / 2 over the last 52 periods, plotted 26 periods ahead.
Purpose: Forms the second boundary of the Ichimoku Cloud.
Interpretation:
If price is above the cloud, the market is in a strong uptrend.
If price is below the cloud, the market is in a strong downtrend.
If price is inside the cloud, the market is consolidating.
5. Kumo (Cloud)
The area between Senkou Span A and Senkou Span B is shaded.
Green Cloud (Span A above Span B): Bullish trend.
Red Cloud (Span B above Span A): Bearish trend.
The thickness of the cloud represents market volatility.
6. Chikou Span (Lagging Line) - Green
Formula: Current closing price plotted 26 periods back.
Purpose: Confirms trend direction.
Interpretation:
Chikou Span above price 26 periods ago: Bullish.
Chikou Span below price 26 periods ago: Bearish.
Buy and Sell Conditions
The indicator generates buy and sell signals based on Ichimoku components.
1. Kijun Cross (Medium-Term Trend)
Buy Signal: When the closing price crosses above the Kijun-Sen (red line).
Sell Signal: When the closing price crosses below the Kijun-Sen.
2. Cloud Breakout (Senkou Span Cross)
Buy Signal:
When Senkou Span A is above Senkou Span B, and the price crosses above the cloud.
Indicates a strong uptrend.
Sell Signal:
When Senkou Span B is above Senkou Span A, and the price crosses below the cloud.
Indicates a strong downtrend.
3. Chikou Span Confirmation (Momentum Confirmation)
Buy Signal:
If Chikou Span (green) crosses above past price action, it confirms a bullish trend.
Used to validate Kijun and Cloud Buy signals.
Sell Signal:
If Chikou Span crosses below past price action, it confirms a bearish trend.
Visual Signals
The indicator plots triangles on the chart to indicate buy and sell signals:
Kijun Buy Signal: Upward triangle (green).
Kijun Sell Signal: Downward triangle (red).
Cloud Buy Signal: Upward triangle (green) near the cloud.
Cloud Sell Signal: Downward triangle (red) near the cloud.
Chikou Confirmation Buy: Upward triangle (green, confirming previous signals).
Chikou Confirmation Sell: Downward triangle (red, confirming previous signals).
Additional Features
Customizable Colors & Settings: Users can adjust colors, time periods, and display settings.
On-Chart Table: Displays current trend interpretations for easy reference.
How to Use the Indicator?
Check the Cloud Position:
Price above the cloud = bullish.
Price below the cloud = bearish.
Price inside the cloud = consolidation.
Look for Kijun Crosses:
Buy when price crosses above Kijun-Sen.
Sell when price crosses below Kijun-Sen.
Confirm with Chikou Span:
If Chikou Span supports the buy/sell signal, it's more reliable.
Use Cloud Breakouts for Trend Reversals:
If price moves from below to above the cloud = strong buy.
If price moves from above to below the cloud = strong sell.
Candle Pressure VisualizationCandle Pressure Visualization:
This TradingView indicator visualizes buying and selling pressure, highlighting extreme market sentiment through custom thresholds, color-coded candles, and histograms.
Features Overview
Custom Thresholds:
Allows you to set thresholds for buying and selling pressure (default: 70 and 90).
Buying & Selling Pressure:
Calculates pressure based on the relative position of the close price to the high and low prices of the candle.
Color-Coded Candles:
Enhances candle colors to highlight extreme pressures.
Histograms:
Displays buying and selling pressure as columns.
Extreme Pressure Markers:
Adds visual markers for areas of strong buying or selling.
his script visualizes buying and selling pressure on a TradingView chart, giving a unique perspective on market sentiment. Here's a breakdown of its functionality:
Features
Inputs for Customization
Users can set thresholds for buying and selling pressure (default: 70 and 90, respectively).
Buying and Selling Pressure Calculation
Buying pressure is calculated as the relative distance of the close price from the low.
Selling pressure is the relative distance of the close price from the high.
Handles edge cases like doji candles (where high equals low) by assigning a neutral value of 50%.
Color-Coded Candles
Bullish candles: Enhanced with a bright green (lime) if buying pressure exceeds the threshold.
Bearish candles: Enhanced with a dark red (maroon) if selling pressure exceeds the threshold.
Neutral candles: Gray for doji or balanced sentiment.
Pressure Histograms
Displays buying and selling pressure as column-style histograms with semi-transparent green and red colors.
Markers for Extreme Pressure
Labels highlight areas of extreme buying or selling pressure using small markers at the top or bottom of the chart.
Alerts
Alerts are triggered when buying or selling pressure crosses user-defined thresholds, providing actionable notifications.
Optional Total Pressure Plot
A combined plot of total pressure (buying + selling) is hidden by default for simplicity but can be enabled if needed.
Disclaimer: The information contained in my Scripts/Indicators/Ideas/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, back test, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Systems are only for educational purposes!
Twiggs Money FlowTwiggs Money Flow (TMF)
This indicator is an implementation of the Twiggs Money Flow (TMF), a volume-based tool designed to measure buying and selling pressure over a specified period. TMF is an enhancement of Chaikin Money Flow (CMF), utilizing more sophisticated smoothing techniques for improved accuracy and reduced noise. This version is highly customizable and includes advanced features for both new and experienced traders.
What is Twiggs Money Flow?
Twiggs Money Flow was developed by Colin Twiggs to provide a clearer picture of market momentum and the balance between buyers and sellers. It uses a combination of price action, trading volume, and range calculations to assess whether a market is under buying or selling pressure.
Unlike traditional volume indicators, TMF incorporates Weighted Moving Averages (WMA) by default but allows for other moving average types (SMA, EMA, VWMA) for added flexibility. This makes it adaptable to various trading styles and market conditions.
Features of This Script:
Customizable Moving Average Types:
Select from SMA , EMA , WMA , or VWMA to smooth volume and price-based calculations.
Tailor the indicator to align with your trading strategy or the asset's behavior.
Optional HMA Smoothing:
Apply Hull Moving Average (HMA) smoothing for a cleaner, faster-reacting TMF line.
Perfect for traders who want to reduce lag and capture trends earlier.
Dynamic Thresholds for Signal Filtering:
Set user-defined thresholds for Long (LT) and Short (ST) signals to highlight significant momentum.
Focus on actionable trends by ignoring noise around neutral levels.
Bar Coloring for Visual Clarity:
Automatically colors your chart bars based on TMF values:
Aqua for strong bullish signals (above the long threshold).
Fuchsia for strong bearish signals (below the short threshold).
Gray for neutral or undecided market conditions.
Ensures that trend direction and strength are visually intuitive.
Configurable Lookback Period:
Adjust the sensitivity of TMF by customizing the length of the lookback period to suit different timeframes and market conditions.
How It Works:
True Range Calculation: The script determines the high, low, and close range to calculate buying and selling pressure.
Adjusted Volume: Incorporates the relationship between price and volume to gauge whether trading activity is favoring buyers or sellers.
Weighted Moving Averages (WMAs): Smooths both volume and adjusted volume values to eliminate erratic fluctuations.
TMF Line: Computes the ratio of adjusted volume to total volume, representing the net buying/selling pressure as a percentage.
HMA Option (if enabled): Smooths the TMF line further to reduce lag and enhance trend identification.
Bar Coloring Logic:
Bars are colored dynamically based on TMF values, thresholds, and smoothing preferences.
Provides an at-a-glance understanding of market conditions.
Input Parameters:
Lookback Period: Defines the number of bars used to calculate TMF (default: 21).
Use HMA Smoothing: Toggle Hull Moving Average smoothing (default: true).
HMA Smoothing Length: Length of the HMA smoothing period (default: 14).
Moving Average Type: Select SMA, EMA, WMA, or VWMA (default: WMA).
Long Threshold (LT): Threshold value above which a long signal is considered (default: 0).
Short Threshold (ST): Threshold value below which a short signal is considered (default: 0).
How to Use It:
Confirm Trends: TMF can validate trends by identifying periods of sustained buying or selling pressure.
Divergence Signals: Watch for divergences between price and TMF to anticipate potential reversals.
Filter Trades: Use the thresholds to ignore weak signals and focus on strong trends.
Combine with Other Indicators: Pair TMF with trend-following or momentum indicators (e.g., RSI, Bollinger Bands) for a comprehensive trading strategy.
Example Use Cases:
Spotting breakouts when TMF crosses above the long threshold.
Identifying sell-offs when TMF dips below the short threshold.
Avoiding sideways markets by ignoring neutral (gray) bars.
Notes:
This indicator is highly customizable, making it versatile across different assets (e.g., stocks, crypto, forex).
While the default settings are robust, tweaking the lookback period, moving average type, and thresholds is recommended for different trading instruments or strategies.
Always backtest thoroughly before applying the indicator to live trading.
This version of Twiggs Money Flow goes beyond standard implementations by offering advanced smoothing, custom thresholds, and enhanced visual feedback to give traders a competitive edge.
Add it to your charts and experience the power of volume-driven analysis!
Quantify [Entry Model] | FractalystWhat’s the indicator’s purpose and functionality?
Quantify is a machine learning entry model designed to help traders identify high-probability setups to refine their strategies.
➙ Simply pick your bias, select your entry timeframes, and let Quantify handle the rest for you.
Can the indicator be applied to any market approach/trading strategy?
Absolutely, all trading strategies share one fundamental element: Directional Bias
Once you’ve determined the market bias using your own personal approach, whether it’s through technical analysis or fundamental analysis, select the trend direction in the Quantify user inputs.
The algorithm will then adjust its calculations to provide optimal entry levels aligned with your chosen bias. This involves analyzing historical patterns to identify setups with the highest potential expected values, ensuring your setups are aligned with the selected direction.
Can the indicator be used for different timeframes or trading styles?
Yes, regardless of the timeframe you’d like to take your entries, the indicator adapts to your trading style.
Whether you’re a swing trader, scalper, or even a position trader, the algorithm dynamically evaluates market conditions across your chosen timeframe.
How can this indicator help me to refine my trading strategy?
1. Focus on Positive Expected Value
• The indicator evaluates every setup to ensure it has a positive expected value, helping you focus only on trades that statistically favor long-term profitability.
2. Adapt to Market Conditions
• By analyzing real-time market behavior and historical patterns, the algorithm adjusts its calculations to match current conditions, keeping your strategy relevant and adaptable.
3. Eliminate Emotional Bias
• With clear probabilities, expected values, and data-driven insights, the indicator removes guesswork and helps you avoid emotional decisions that can damage your edge.
4. Optimize Entry Levels
• The indicator identifies optimal entry levels based on your selected bias and timeframes, improving robustness in your trades.
5. Enhance Risk Management
• Using tools like the Kelly Criterion, the indicator suggests optimal position sizes and risk levels, ensuring that your strategy maintains consistency and discipline.
6. Avoid Overtrading
• By highlighting only high-potential setups, the indicator keeps you focused on quality over quantity, helping you refine your strategy and avoid unnecessary losses.
How can I get started to use the indicator for my entries?
1. Set Your Market Bias
• Determine whether the market trend is Bullish or Bearish using your own approach.
• Select the corresponding bias in the indicator’s user inputs to align it with your analysis.
2. Choose Your Entry Timeframes
• Specify the timeframes you want to focus on for trade entries.
• The indicator will dynamically analyze these timeframes to provide optimal setups.
3. Let the Algorithm Analyze
• Quantify evaluates historical data and real-time price action to calculate probabilities and expected values.
• It highlights setups with the highest potential based on your selected bias and timeframes.
4. Refine Your Entries
• Use the insights provided—entry levels, probabilities, and risk calculations—to align your trades with a math-driven edge.
• Avoid overtrading by focusing only on setups with positive expected value.
5. Adapt to Market Conditions
• The indicator continuously adapts to real-time market behavior, ensuring its recommendations stay relevant and precise as conditions change.
How does the indicator calculate the current range?
The indicator calculates the current range by analyzing swing points from the very first bar on your charts to the latest available bar it identifies external liquidity levels, also known as BSLQ (buy-side liquidity levels) and SSLQ (sell-side liquidity levels).
What's the purpose of these levels? What are the underlying calculations?
1. Understanding Swing highs and Swing Lows
Swing High: A Swing High is formed when there is a high with 2 lower highs to the left and right.
Swing Low: A Swing Low is formed when there is a low with 2 higher lows to the left and right.
2. Understanding the purpose and the underlying calculations behind Buyside, Sellside and Pivot levels.
3. Identifying Discount and Premium Zones.
4. Importance of Risk-Reward in Premium and Discount Ranges
How does the script calculate probabilities?
The script calculates the probability of each liquidity level individually. Here's the breakdown:
1. Upon the formation of a new range, the script waits for the price to reach and tap into pivot level level. Status: "■" - Inactive
2. Once pivot level is tapped into, the pivot status becomes activated and it waits for either liquidity side to be hit. Status: "▶" - Active
3. If the buyside liquidity is hit, the script adds to the count of successful buyside liquidity occurrences. Similarly, if the sellside is tapped, it records successful sellside liquidity occurrences.
4. Finally, the number of successful occurrences for each side is divided by the overall count individually to calculate the range probabilities.
Note: The calculations are performed independently for each directional range. A range is considered bearish if the previous breakout was through a sellside liquidity. Conversely, a range is considered bullish if the most recent breakout was through a buyside liquidity.
What does the multi-timeframe functionality offer?
You can incorporate up to 4 higher timeframe probabilities directly into the table.
This feature allows you to analyze the probabilities of buyside and sellside liquidity across multiple timeframes, without the need to manually switch between them.
By viewing these higher timeframe probabilities in one place, traders can spot larger market trends and refine their entries and exits with a better understanding of the overall market context.
What are the multi-timeframe underlying calculations?
The script uses the same calculations (mentioned above) and uses security function to request the data such as price levels, bar time, probabilities and booleans from the user-input timeframe.
How does the Indicator Identifies Positive Expected Values?
Quantify instantly calculates whether a trade setup has the potential to generate positive expected value (EV).
To determine a positive EV setup, the indicator uses the formula:
EV = ( P(Win) × R(Win) ) − ( P(Loss) × R(Loss))
where:
- P(Win) is the probability of a winning trade.
- R(Win) is the reward or return for a winning trade, determined by the current risk-to-reward ratio (RR).
- P(Loss) is the probability of a losing trade.
- R(Loss) is the loss incurred per losing trade, typically assumed to be -1.
By calculating these values based on historical data and the current trading setup, the indicator helps you understand whether your trade has a positive expected value.
How can I know that the setup I'm going to trade with has a positive EV?
If the indicator detects that the adjusted pivot and buy/sell side probabilities have generated positive expected value (EV) in historical data, the risk-to-reward (RR) label within the range box will be colored blue and red .
If the setup does not produce positive EV, the RR label will appear gray.
This indicates that even the risk-to-reward ratio is greater than 1:1, the setup is not likely to yield a positive EV because, according to historical data, the number of losses outweighs the number of wins relative to the RR gain per winning trade.
What is the confidence level in the indicator, and how is it determined?
The confidence level in the indicator reflects the reliability of the probabilities calculated based on historical data. It is determined by the sample size of the probabilities used in the calculations. A larger sample size generally increases the confidence level, indicating that the probabilities are more reliable and consistent with past performance.
How does the confidence level affect the risk-to-reward (RR) label?
The confidence level (★) is visually represented alongside the probability label. A higher confidence level indicates that the probabilities used to determine the RR label are based on a larger and more reliable sample size.
How can traders use the confidence level to make better trading decisions?
Traders can use the confidence level to gauge the reliability of the probabilities and expected value (EV) calculations provided by the indicator. A confidence level above 95% is considered statistically significant and indicates that the historical data supporting the probabilities is robust. This high confidence level suggests that the probabilities are reliable and that the indicator’s recommendations are more likely to be accurate.
In data science and statistics, a confidence level above 95% generally means that there is less than a 5% chance that the observed results are due to random variation. This threshold is widely accepted in research and industry as a marker of statistical significance. Studies such as those published in the Journal of Statistical Software and the American Statistical Association support this threshold, emphasizing that a confidence level above 95% provides a strong assurance of data reliability and validity.
Conversely, a confidence level below 95% indicates that the sample size may be insufficient and that the data might be less reliable. In such cases, traders should approach the indicator’s recommendations with caution and consider additional factors or further analysis before making trading decisions.
How does the sample size affect the confidence level, and how does it relate to my TradingView plan?
The sample size for calculating the confidence level is directly influenced by the amount of historical data available on your charts. A larger sample size typically leads to more reliable probabilities and higher confidence levels.
Here’s how the TradingView plans affect your data access:
Essential Plan
The Essential Plan provides basic data access with a limited amount of historical data. This can lead to smaller sample sizes and lower confidence levels, which may weaken the robustness of your probability calculations. Suitable for casual traders who do not require extensive historical analysis.
Plus Plan
The Plus Plan offers more historical data than the Essential Plan, allowing for larger sample sizes and more accurate confidence levels. This enhancement improves the reliability of indicator calculations. This plan is ideal for more active traders looking to refine their strategies with better data.
Premium Plan
The Premium Plan grants access to extensive historical data, enabling the largest sample sizes and the highest confidence levels. This plan provides the most reliable data for accurate calculations, with up to 20,000 historical bars available for analysis. It is designed for serious traders who need comprehensive data for in-depth market analysis.
PRO+ Plans
The PRO+ Plans offer the most extensive historical data, allowing for the largest sample sizes and the highest confidence levels. These plans are tailored for professional traders who require advanced features and significant historical data to support their trading strategies effectively.
For many traders, the Premium Plan offers a good balance of affordability and sufficient sample size for accurate confidence levels.
What is the HTF probability table and how does it work?
The HTF (Higher Time Frame) probability table is a feature that allows you to view buy and sellside probabilities and their status from timeframes higher than your current chart timeframe.
Here’s how it works:
Data Request: The table requests and retrieves data from user-defined higher timeframes (HTFs) that you select.
Probability Display: It displays the buy and sellside probabilities for each of these HTFs, providing insights into the likelihood of price movements based on higher timeframe data.
Detailed Tooltips: The table includes detailed tooltips for each timeframe, offering additional context and explanations to help you understand the data better.
What do the different colors in the HTF probability table indicate?
The colors in the HTF probability table provide visual cues about the expected value (EV) of trading setups based on higher timeframe probabilities:
Blue: Suggests that entering a long position from the HTF user-defined pivot point, targeting buyside liquidity, is likely to result in a positive expected value (EV) based on historical data and sample size.
Red: Indicates that entering a short position from the HTF user-defined pivot point, targeting sellside liquidity, is likely to result in a positive expected value (EV) based on historical data and sample size.
Gray: Shows that neither long nor short trades from the HTF user-defined pivot point are expected to generate positive EV, suggesting that trading these setups may not be favorable.
What machine learning techniques are used in Quantify?
Quantify offers two main machine learning approaches:
1. Adaptive Learning (Fixed Sample Size): The algorithm learns from the entire dataset without resampling, maintaining a stable model that adapts to the latest market conditions.
2. Bootstrap Resampling: This method creates multiple subsets of the historical data, allowing the model to train on varying sample sizes. This technique enhances the robustness of predictions by ensuring that the model is not overfitting to a single dataset.
How does machine learning affect the expected value calculations in Quantify?
Machine learning plays a key role in improving the accuracy of expected value (EV) calculations. By analyzing historical price action, liquidity hits, and market bias patterns, the model continuously adjusts its understanding of risk and reward, allowing the expected value to reflect the most likely market movements. This results in more precise EV predictions, helping traders focus on setups that maximize profitability.
What is the Kelly Criterion, and how does it work in Quantify?
The Kelly Criterion is a mathematical formula used to determine the optimal position size for each trade, maximizing long-term growth while minimizing the risk of large drawdowns. It calculates the percentage of your portfolio to risk on a trade based on the probability of winning and the expected payoff.
Quantify integrates this with user-defined inputs to dynamically calculate the most effective position size in percentage, aligning with the trader’s risk tolerance and desired exposure.
How does Quantify use the Kelly Criterion in practice?
Quantify uses the Kelly Criterion to optimize position sizing based on the following factors:
1. Confidence Level: The model assesses the confidence level in the trade setup based on historical data and sample size. A higher confidence level increases the suggested position size because the trade has a higher probability of success.
2. Max Allowed Drawdown (User-Defined): Traders can set their preferred maximum allowed drawdown, which dictates how much loss is acceptable before reducing position size or stopping trading. Quantify uses this input to ensure that risk exposure aligns with the trader’s risk tolerance.
3. Probabilities: Quantify calculates the probabilities of success for each trade setup. The higher the probability of a successful trade (based on historical price action and liquidity levels), the larger the position size suggested by the Kelly Criterion.
What is a trailing stoploss, and how does it work in Quantify?
A trailing stoploss is a dynamic risk management tool that moves with the price as the market trend continues in the trader’s favor. Unlike a fixed take profit, which stays at a set level, the trailing stoploss automatically adjusts itself as the market moves, locking in profits as the price advances.
In Quantify, the trailing stoploss is enhanced by incorporating market structure liquidity levels (explain above). This ensures that the stoploss adjusts intelligently based on key price levels, allowing the trader to stay in the trade as long as the trend remains intact, while also protecting profits if the market reverses.
Why would a trader prefer a trailing stoploss based on liquidity levels instead of a fixed take-profit level?
Traders who use trailing stoplosses based on liquidity levels prefer this method because:
1. Market-Driven Flexibility: The stoploss follows the market structure rather than being static at a pre-defined level. This means the stoploss is less likely to be hit by small market fluctuations or false reversals. The stoploss remains adaptive, moving as the market moves.
2. Riding the Trend: Traders can capture more profit during a sustained trend because the trailing stop will adjust only when the trend starts to reverse significantly, based on key liquidity levels. This allows them to hold positions longer without prematurely locking in profits.
3. Avoiding Premature Exits: Fixed stoploss levels may exit a trade too early in volatile markets, while liquidity-based trailing stoploss levels respect the natural flow of price action, preventing the trader from exiting too soon during pullbacks or minor retracements.
🎲 Becoming the House: Gaining an Edge Over the Market
In American roulette, the casino has a 5.26% edge due to the presence of the 0 and 00 pockets. On even-money bets, players face a 47.37% chance of winning, while true 50/50 odds would require a 50% chance. This edge—the gap between the payout odds and the true probabilities—ensures that, statistically, the casino will always win over time, even if individual players win occasionally.
From a Trader’s Perspective
In trading, your edge comes from identifying and executing setups with a positive expected value (EV). For example:
• If you identify a setup with a 55.48% chance of winning and a 1:1 risk-to-reward (RR) ratio, your trade has a statistical advantage over a neutral (50/50) probability.
This edge works in your favor when applied consistently across a series of trades, just as the casino’s edge ensures profitability across thousands of spins.
🎰 Applying the Concept to Trading
Like casinos leverage their mathematical edge in games of chance, you can achieve long-term success in trading by focusing on setups with positive EV and managing your trades systematically. Here’s how:
1. Probability Advantage: Prioritize trades where the probability of success (win rate) exceeds the breakeven rate for your chosen risk-to-reward ratio.
• Example: With a 1:1 RR, you need a win rate above 50% to achieve positive EV.
2. Risk-to-Reward Ratio (RR): Even with a win rate below 50%, you can gain an edge by increasing your RR (e.g., a 40% win rate with a 2:1 RR still has positive EV).
3. Consistency and Discipline: Just as casinos profit by sticking to their mathematical advantage over thousands of spins, traders must rely on their edge across many trades, avoiding emotional decisions or overleveraging.
By targeting favorable probabilities and managing trades effectively, you “become the house” in your trading. This approach allows you to leverage statistical advantages to enhance your overall performance and achieve sustainable profitability.
What Makes the Quantify Indicator Original?
1. Data-Driven Edge
Unlike traditional indicators that rely on static formulas, Quantify leverages probability-based analysis and machine learning. It calculates expected value (EV) and confidence levels to help traders identify setups with a true statistical edge.
2. Integration of Market Structure
Quantify uses market structure liquidity levels to dynamically adapt. It identifies key zones like swing highs/lows and liquidity traps, enabling users to align entries and exits with where the market is most likely to react. This bridges the gap between price action analysis and quantitative trading.
3. Sophisticated Risk Management
The Kelly Criterion implementation is unique. Quantify allows traders to input their maximum allowed drawdown, dynamically adjusting risk exposure to maintain optimal position sizing. This ensures risk is scientifically controlled while maximizing potential growth.
4. Multi-Timeframe and Liquidity-Based Trailing Stops
The indicator doesn’t just suggest fixed profit-taking levels. It offers market structure-based trailing stop-loss functionality, letting traders ride trends as long as liquidity and probabilities favor the position, which is rare in most tools.
5. Customizable Bias and Adaptive Learning
• Directional Bias: Traders can set a bullish or bearish bias, and the indicator recalculates probabilities to align with the trader’s market outlook.
• Adaptive Learning: The machine learning model adapts to changes in data (via resampling or bootstrap methods), ensuring that predictions stay relevant in evolving markets.
6. Positive EV Focus
The focus on positive EV setups differentiates it from reactive indicators. It shifts trading from chasing signals to acting on setups that statistically favor profitability, akin to how professional quant funds operate.
7. User Empowerment
Through features like customizable timeframes, real-time probability updates, and visualization tools, Quantify empowers users to make data-informed decisions.
Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst use, reproduction, or distribution of these proprietary elements is prohibited.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
IBD Market School [tradeviZion]IBD Market School Indicator: User Guide and Settings Reference
A comprehensive guide to configuring and using the IBD Market School indicator for TradingView
Introduction
The IBD Market School indicator is an advanced market analysis tool that implements Investor's Business Daily's methodology for identifying optimal trading opportunities. By tracking key market indexes and analyzing price and volume patterns, it provides actionable buy and sell signals based on the CANSLIM investment system.
The indicator offers a comprehensive set of features:
Complete Signal System
10 primary buy signals (B1-B10)
Additional buy-side indicators (HH - Higher High, ED - Expired Days)
14 sell signals (S1-S14)
Index Rise 6% signal for Distribution/Stalling Day expiration
Market Health Tracking
Distribution Day detection and counting
Stalling Day identification and validation
Automatic 25-day signal expiration
6% price rise monitoring for signal clearing
Market Condition Analysis
Rally Day detection (major and minor)
Follow-Through Day confirmation
Dynamic market exposure management (0-100%)
Power Trend analysis with multiple states
Risk Management Features
Circuit Breaker system for major declines
Buy Switch system for exposure control
Customizable volume analysis (Nasdaq/S&P 500)
Distribution day clustering detection
Visual Analysis Tools
IBD-style candle display option
Power Trend state visualization
Signal line drawing system
Customizable tooltips and alerts
Proper configuration of the indicator's settings is essential as it affects:
Signal detection sensitivity and accuracy
Market exposure calculations and adjustments
Volume confirmation requirements
Visual display of market conditions and signals
Alert system behavior and notifications
This guide provides detailed explanations of each component and setting to help you optimize the indicator for your trading strategy while maintaining adherence to IBD's proven methodology.
📊 General Settings
This section controls the indicator's tooltip display, alert behavior, and candle visualization preferences.
The General Settings panel allows you to configure tooltip modes, alert types, and candle appearance.
Tooltip Display Mode
Select how detailed the tooltips should be when hovering over signals and indicators:
The three tooltip display modes: Simple (left), Detailed (center), and Market Analysis (right).
Simple Mode
Displays concise signal definitions
Shows basic entry and exit conditions
Focuses on essential trigger points
Perfect for experienced traders
Detailed Mode
Provides in-depth explanations of each buy/sell signal
Shows complete validation criteria and conditions
Includes volume requirements and percentage thresholds
Explains the context and significance of each signal
Market Analysis Mode
Focuses on broad market health metrics
Shows market exposure percentage and trend
Displays buy switch and power trend status
Tracks distribution days and signal buffers
Note: Choose the tooltip mode based on your needs:
- Simple: Provides quick, essential information on signals for fast decision-making
- Detailed: Breaks down conditions for each buy/sell signal, ideal for users wanting in-depth explanations
- Market Analysis: Focuses on broad market health, including exposure, buy switch, distribution days, and trends
Market Exposure Alert System
The indicator alerts you when market exposure levels change, helping you adjust your positions accordingly.
Alert Types
On Close (Recommended)
Triggers only after bar closes
More reliable signals as price action is confirmed
Real-Time
Triggers immediately when conditions are met
Note: Signals may change by bar close
Setting Up Alerts
Click the "..." (More) button on the indicator label "$tradeviZion - IBD Market School"
Select "Add alert on $tradeviZion - IBD Market School..."
In the Create Alert dialog:
Settings tab:
Verify the symbol and timeframe (e.g., NASDAQ:IXIC , 1D)
Condition: Select "$tradeviZion - IBD Market School"
Alert function: Choose "Any alert() function call"
Expiration: Set to "Open-ended alert"
Alert name will auto-populate
Switch to Notifications tab:
Enable "Notify in app" for push notifications in the mobile app
Enable "Show toast notification" for on-screen alerts
Enable "Play sound" and customize duration (e.g., Thin, 10 seconds)
Optional settings:
Send email (requires profile settings configuration)
Webhook URL for POST requests
Send plain text for alternative email format
Click Create to activate the alert
Alert Messages
Message format: "Market exposure change for : Market exposure from % to %"
Example: "Market exposure change for NASDAQ:IXIC : 📈 Market exposure reduced from 100% to 75%"
📈 Arrow indicates exposure increase
📉 Arrow indicates exposure decrease
Messages include previous and new exposure percentages
Note: These alerts specifically track changes in market exposure levels, helping you stay aligned with market conditions. They are essential for maintaining proper position sizing and risk management.
Chart Style Options
IBD-style Candles
Enable to match Investor's Business Daily chart style
For MarketSmith style setup, right-click on chart and go to Settings
Navigate to Symbol tab
Uncheck Body, Borders, and Wicks
Press Alt+R to restore chart view if zoom affects display
To revert to original style, right-click on chart and go to Settings
Navigate to Symbol tab
Check Body, Borders, and Wicks
Color Based on Previous Close
Colors bars based on close vs. previous close
When enabled, determines colors by comparing current close to previous close
Use blue color for closes above previous
Use pink color for closes below previous
📈 Market Exposure Table Settings
Configure how the market exposure information is displayed on your chart.
The Market Exposure Table Settings panel allows you to customize the appearance and layout of the market status display.
Layout Options
• Hide Table
Completely hides the market status display
• Basic (2 Columns)
Shows main indicators in two columns
Compact view without signal list
Ideal for minimalist chart view
• Detailed (2 Columns with Signals)
Displays main indicators plus signal panel
Shows Buy and Sell signals in separate columns
Provides comprehensive market overview
• Stacked (1 Column, Compact)
Vertical layout with single column
Most space-efficient option
Ideal for smaller chart windows
Color Settings
Background : Dark gray background for the table
Text : White text for general information
Buy Signal : Green highlighting for buy signals
Sell Signal : Red highlighting for sell signals
Additional Options
Show Trading Wisdom: Enable rotating trading messages
Displays empowering trading messages
Helps reinforce disciplined trading practices
Updates every 5 bars with new wisdom
Includes tooltips with comprehensive trading guidance
Customizable yellow text color for messages
💹 Buy Signals Settings
This section controls the visibility and behavior of buy signals and related indicators.
The Buy Signals Settings panel allows you to configure signal visibility, volatility calculations, and visual appearance of buy signals.
Signal Display Options
Buy Signals Display : Choose display mode
Show Selected Signals
Hide All
Compact Signals
Individual Signal Toggles
Primary Buy Signals (B1-B10)
Special Indicators (HH, ED)
Understanding Buy Signals
B1: Follow-Through Day (FTD)
Buy on the initial FTD with volume higher than the previous day. You may use an FTD from an index other than the NASDAQ:IXIC , but if you do, you must stay within that index for future Buy and Sell Signals.
B2: Additional Follow-Through
Buy on all additional follow-through days within 25 days from a rally day that closes above the low of the initial follow-through day.
B3: Low Above EMA21
Buy on an up or flat day when the intraday low is at or above the EMA21. Note: Once you have a B3 or B4, you can't have another until it is reset by an S5.
Special Buy Indicators
HH: Higher High (No FTD after Rally)
Triggers when current close exceeds highest point since last confirmed rally. Must not have a Follow-Through Day (FTD). Buy switch turns on when close exceeds last rally's high and turns off if close drops below that high.
ED: Expired Days
Tracks Distribution and Stalling days that have aged out. Days are tracked for a specific trading period and expired days are removed from the count.
Index Rise Settings
Index Rise 6% from DD & SD
Toggle to enable/disable monitoring of price rises above Distribution and Stalling Days. Default value of 6% (adjustable) for monitoring rises above these days.
Understanding Index Rise
This feature tracks significant market recoveries by monitoring when the index rises substantially above Distribution Days (DD) or Stalling Days (SD). When the index rises 6% or more above the closing price of any DD or SD, it indicates a strong market recovery. This is an important signal because it helps identify when the market has shown enough strength to potentially overcome previous distribution periods. When triggered, this signal reduces the distribution day count, effectively acknowledging that the previous distribution pattern may no longer be as relevant due to the market's strong recovery.
B1 Signal Configuration
Volatility Settings
B1 Auto Volatility: Calculates FTD price requirement based on 200-day volatility
B1 Manual Volatility: Fixed value (default 1.245) when auto is disabled
Visual Settings
Label Size: Small (options: Tiny, Small, Normal, Large)
Signal Color: Light green background for buy signals
Text Color: Customizable text color for signal labels
Important Notes
Signal visibility affects both chart display and calculations
Auto volatility is recommended for most users
Manual volatility should only be adjusted by experienced users
Visual settings apply to all enabled buy signals
Confirmation Rules
Price Requirements
Follow-Through Day (B1) thresholds based on 200-day volatility:
Below 0.4% volatility: 0.7% gain required
0.4% to 0.55% volatility: 0.85% gain required
0.55% to 1% volatility: 1% gain required
Above 1% volatility: 1.245% gain required
EMA Breaks (S5/S6): 0.2% threshold below 21 EMA
Downside Reversal (B9): 1.75% high-to-low spread required
Volume Requirements
Distribution Days: Volume > previous day, with -0.20% or more price decline
Stalling Days: Volume ≥ 95% of previous day
Follow-Through Days (B1/B2): Volume > previous day
Accumulation Days (B7): Volume > previous day, close in upper 25% range
Sell Signals Settings
This section controls the visibility and behavior of sell signals and market weakness indicators.
The Sell Signals Settings panel allows you to configure signal visibility and visual appearance of sell signals and market health indicators.
Signal Display Options
Sell Signals Display: Dropdown with options to control signal visibility:
Show Selected Signals
Hide All
Compact Signals
Individual Signal Toggles
Primary Sell Signals: S1-S14 and CB (Circuit Breaker)
Market Health Indicators:
Distribution Days (DD): Indicative of institutional selling. Occurs when:
Market closes down by at least 0.2%
Volume greater than or equal to prior day
Tracked for 25 trading days
Stalling Days (SD): Sign of heavy volume without upside progress. Occurs when:
Market at/near new highs
Closes with small gain (0% to 0.4%)
High volume in lower half of day's range
Understanding Sell Signals
S1: Follow-Through Day Undercut
Sell if the index closes below the low of the initial follow-through day.
S2: Failed Rally Attempt
Sell if the index undercuts the major low of the rally attempt. Market exposure is reduced to zero and the Buy Switch is turned off.
S2ml: Minor Low Undercut
Minor Low undercut of rally attempt. Market exposure is reduced by two. This does not turn off the Buy Switch.
S3: Full Distribution Minus One
Sell after the distribution count increases to one less than the full distribution count.
S4: Full Distribution
Sell after reaching the full distribution count.
S5: Break Below EMA21
Sell if the index closes 0.2% or more below the EMA21. Note: Once you have an S5, S6, or S7, you can't have another until it is reset by a B3.
S6: Overdue Break Below EMA21
Sell if the index closes down 0.2% or more below the EMA21 after 30 days have passed since the last B3 without triggering an S5.
S7: Trending Below EMA21
Sell after S5 on the 5th consecutive day that the high is below the EMA21 and a down day.
S8: Living Below EMA21
Sell after S5 on the 10th and every 5th consecutive day after that (15th, 20th, 25th, etc.) that the high is below the EMA21.
S9: Break Below 50-Day MA
Sell if the index closes below the 50-Day Moving Average. Triggers only if a B6 signal was previously printed.
S10: Bad Break
Sell if the close is down 2.25% or greater in the bottom 25% of the range. Close below the MA50 or intraday high below EMA21.
S11: Downside Reversal
Sell after a Downside Reversal Day, which occurs with:
New High within 13 weeks
Close in bottom quartile of range
Close Down for the day
Spread of 1.75% or greater
S12: Lower Low
Sell after closing below the last marked low as defined by MarketSmith.
S13: Distribution Cluster
Distribution and stalling days increase to four up to eight days within a rolling eight-day period.
S14: Break Below Higher High
Sell after closing below the last marked high that printed a B8 (Higher High).
CB: Circuit Breaker
Triggers when the index drops 10% from the highest high since the FTD (B1) and falls 5% or more below the 50-Day MA intraday.
Buy/Sell Undercut Lines
This section controls the visibility and appearance of important price level lines on your chart.
The Buy/Sell Undercut Lines panel allows you to configure which signal lines are displayed and their visual appearance.
Line Visibility
Buy Signal Lines :
B8 Line: First high above the last pivot high
HH Line: Close above the prior high since last confirmed rally without FTD
Sell Signal Lines :
S1 Line: Close below the initial follow-through day
S2 Line: Undercut of major low
S2ml Line: Minor low undercut
S12 Line: Close below last marked low
S14 Line: Close below last marked high
Line Appearance
Color Settings :
B8: Green (Buy signal)
HH: Green (Buy signal)
S1: Red (Sell signal)
S2: Red (Sell signal)
S2ml: Orange (Modified sell signal)
S12: Purple (Pivot low signal)
S14: Blue (Close below pivot)
Line Style : Dashed (options: solid, dotted, dashed)
Line Width : 1 (adjustable)
📈 Rally Signal Settings
The Rally Signal Settings panel allows you to configure Rally Day detection and visualization.
Rally Day:
Toggle to enable/disable Rally Day signals. These mark the beginning of potential market uptrends when the market closes higher than the previous day, following a significant decline.
Visual Settings:
Label Size: small (options: tiny, small, normal, large)
Background Color: Customizable background for Rally Day labels
Text Color: Customizable text color for Rally Day labels
Distribution Day Settings:
Use Manual FullDDcount: Option to manually set the minimum combined number of Distribution and Stalling Days
Count Value: Default is 6 days (adjustable when manual mode is enabled)
This setting determines how many Distribution/Stalling Days are required to trigger a new rally
Pivot Point Settings
The Pivot Point Settings panel allows you to configure the display of high/low points and percentage changes between pivots.
Display Options
Display H/L Points
Toggle to show or hide pivot levels (high and low points) on the chart
%Change
Toggle to display percentage changes between pivot points
Color Settings
Positive % Color : Blue (customizable) - Used for positive percentage changes
Negative % Color : Pink (customizable) - Used for negative percentage changes
Precision Settings
Decimal Places: Set the number of decimal places (default: 2) for:
Pivot point price levels
Percentage change calculations
⚡ Power Trend Settings
This section controls how Power Trend information is visualized on your chart.
The Power Trend Settings panel allows you to configure how trend states are displayed and customize their visual appearance.
Example of Power Trend visualization showing both boxes (green background) and trend lines. The boxes indicate trend state while lines show trend transitions.
Display Options
Show Power Trend Line : Display trend states as lines on the chart
Show Boxes : Display trend states as boxes
Show Background : Display trend states as background colors
Power Trend Color Settings
On : Light green - Full power trend active
Resume : Light green - Power trend resuming
Off : Gray - Power trend inactive
With Floor : Yellow - Under pressure with support
No Floor : Orange - Under pressure without support
Power Trend Line Settings
Line Width : Set line thickness (default: 1)
Line Offset : Adjust line position (default: 5)
Power Trend Box Settings
Text Align : Set text alignment (left, center, right)
Text Position : Set vertical position (top, middle, bottom)
Size : Set box size (tiny, small, normal, large)
Color : Customize box background color
Power Trend States
Full Power (On)
Represents strongest market condition with maximum exposure of +7
Base maximum exposure of 5 plus 2 buffer signals
Buffer allows maintaining high exposure during normal pullbacks
2 sell signals reduce count from 7 to 5 without affecting base
Indicates very healthy market that can absorb normal profit-taking
Resume State
Shows successful market recovery after pressure period
Requires 10+ days without S2 minor, S9, or S13 signals
Must reestablish all initial strength conditions
Maintains same benefits as Full Power (+7 max, +2 floor)
Shows as light green in visualization
Under Pressure With Floor
First warning stage triggered by S2 minor or S13 signals
Reduces maximum exposure to +5
Maintains minimal protection with +1 floor
Suggests defensive positioning while keeping core positions
Shows as yellow in visualization
Under Pressure No Floor
Severe warning stage triggered by S9 signal
Maintains +5 maximum exposure but removes floor protection
Indicates higher risk of continued market decline
Requires careful position management
Shows as orange in visualization
Power Trend Off
Triggered by EMA/MA crossdowns with declining price
Can also be activated by S2 or Circuit Breaker signals
Maximum exposure limited to +5 with no buffer signals
Suggests focus on capital preservation
Shows as gray in visualization
Power Trend System Rules
Each state enforces strict exposure limits with automatic floor and ceiling adjustments
Power Trend can activate Buy Switch when entering Full Power state
Restraint Rule limits exposure to +2 until significant progress or B4 signal when starting from zero exposure
State transitions immediately update exposure limits and Buy Switch status
Distribution Cluster (S13) can move Power Trend to Under Pressure With Floor state
System maintains exposure floors to prevent panic selling while allowing flexibility below floor levels
Weekly SMAs Settings
The Weekly SMAs Settings panel allows you to configure the weekly moving averages display and calculations.
SMA 1: 10 periods (enabled), Red
Length: 10
Optional EMA toggle
Width: 1
SMA 2: 20 periods, Pink
Length: 20
Optional EMA toggle
Width: 1
SMA 3: 30 periods, Green
Length: 30
Optional EMA toggle
Width: 1
SMA 4: 40 periods (enabled), White
Length: 40
Optional EMA toggle
Width: 1
SMAs Settings
The SMAs Settings panel allows you to configure the daily moving averages display and calculations.
MA 1: 10 periods, Optional EMA, Pink
Length: 10
Optional EMA toggle
Width: 1
MA 2: 21 periods (enabled), EMA, Green
Length: 21
EMA enabled
Width: 1
MA 3: 50 periods (enabled), SMA, Red
Length: 50
EMA disabled
Width: 1
MA 4: 200 periods (enabled), SMA, White
Length: 200
EMA disabled
Width: 1
Volume Settings (NASDAQ & S&P 500)
This section controls volume data sources for market analysis. Proper volume settings are crucial for confirming market signals and analyzing institutional participation.
The Volume Settings panel allows you to configure volume data sources and custom ticker options for accurate market analysis.
Important Volume Source Information
TradingView's default volume data differs from IBD's Yahoo Finance data source
Current default settings (IXIC and TVOL) provide the most accurate results compared to IBD signals
Volume differences between TradingView and IBD are expected due to different data sources
Custom ticker options are provided for future compatibility with Yahoo Finance volume data
Volume Configuration
Nasdaq Volume Settings
Default Source: NASDAQ:IXIC (Nasdaq Composite Index)
Custom Ticker Option: USI:TVOL.NQ
Enable custom source by checking "Use Custom Nasdaq Ticker?"
Note: Custom ticker must be price-based for accurate volume analysis
S&P 500 Volume Settings
Default Source: TVOL (S&P 500 Total Volume)
Custom Ticker Option: USI:TVOL.NY
Enable custom source by checking "Use Custom S&P 500 Ticker?"
Note: Custom ticker must be price-based for accurate volume analysis
Volume Analysis Impact
Used for Distribution Day confirmation
Required for Follow-Through Day validation
Helps identify institutional buying/selling
Critical for Stalling Day detection
Recommendations
Keep default settings for most accurate current results
Only use custom tickers if you have confirmed price-based volume sources
Be aware that volume-based signals might slightly differ from IBD due to data source differences
Future updates may add Yahoo Finance volume compatibility
Market Status Table
The Market Status Table provides a real-time visual overview of current market conditions and signal status. Users can customize the table's appearance through the Market Exposure Table Settings.
The Market Status Table can be displayed in three different layouts: Basic (left), Detailed (center), and Stacked (right).
Layout Options
Hide Table
Completely hides the market status display
Basic (2 Columns)
Shows main indicators in two columns
Compact view without signal list
Ideal for minimalist chart view
Detailed (2 Columns with Signals)
Displays main indicators plus signal panel
Shows Buy and Sell signals in separate columns
Provides comprehensive market overview
Stacked (1 Column, Compact)
Vertical layout with single column
Most space-efficient option
Ideal for smaller chart windows
Main Indicators
• Market Exposure
Displayed as colored dots: 🟠 🟢 🟢 🟢 🟢
Shows current exposure level (0-100%)
(⚪ ⚪ ⚪ ⚪ ⚪): 0% exposure
(🟠 ⚪ ⚪ ⚪ ⚪): 30% exposure
(🟠 🟡 ⚪ ⚪ ⚪): 55% exposure
(🟠 🟡 🟢 ⚪ ⚪): 75% exposure
(🟠 🟡 🟢 🟢 ⚪): 90% exposure
(🟠 🟡 🟢 🟢 🟢): 100% exposure
• Key Status Indicators
Buy Switch: Shows ON (forced) or OFF status
Power Trend: Displays current state with floor and maximum values
Restraint Rule: Indicates ON or OFF status
Count / Signals Buffer: Shows current count and available buffer (e.g., "7 / (+0)")
Dist. Days / Cluster: Displays distribution day count and cluster status (e.g., "1 / 0")
• Signal Panel (Available in Detailed layout)
Lists all active Buy and Sell signals
Highlighted signals indicate currently active conditions
Green highlighting shows confirmed signals
Provides quick reference for all available signals
Status Indicator Colors
🟢 indicates "ON" or positive conditions (e.g., Buy Switch ON, Power Trend Full Power)
🟡 indicates "Under Pressure" or caution (e.g., Power Trend Under Pressure With Floor)
🟠 indicates "Under Pressure No Floor" or increased caution
🔴 indicates "OFF" or negative conditions (e.g., Buy Switch OFF, Power Trend OFF)
• Signal Colors
Green background for buy signals
Red background for sell signals
Black text on signal backgrounds for better visibility
• Number Formats
Count / Buffer signals shown as "7 / (+2)"
Distribution Days / Cluster count shown as "1 / 0"
Exposure percentage shown with dots (e.g., "90%")
Trading Wisdom - Market Risk Management
"The key to successful trading is not just knowing when to enter, but managing your exposure based on market health. Always check two critical indicators before any trade:
1. Market Exposure Levels
100% (5 dots): Full positions in strong market
90% (4 dots): Slightly reduced positions
75% (3 dots): Moderate positions, more cautious
55% (2 dots): Half positions only
30% (1 dot): Small positions only
0% (0 dots): Stay in cash
2. Distribution Days Risk Levels
1-2 Days: Normal market behavior
3 Days: Caution - reduce new positions
4+ Days: High risk - defensive positioning
5-6 Days: Consider moving to cash
Remember: It's better to miss an opportunity than to catch a falling market. Let the Market Exposure Table be your guide to smart position sizing."
Pro Tip: Make checking these two indicators part of your daily routine. They're your first line of defense against major drawdowns.
Conclusion
The IBD Market School indicator brings William O'Neil's proven methodology to TradingView, providing a comprehensive system for market analysis and risk management. This tool automates the complex task of tracking market signals while maintaining strict adherence to IBD's time-tested principles.
Key Features
Follows IBD's core methodology for identifying market direction
Automates tracking of Distribution Days, Follow-Through Days, and market signals
Provides clear market exposure guidance through the Power Trend system
Helps maintain discipline through systematic Buy Switch control
Offers multiple layers of risk management
Best Practices
Always check Market Exposure and Distribution Day count before making trades
Let the Buy Switch guide your market participation
Follow Power Trend states for proper position sizing
Use the default volume settings for most accurate signal generation
Monitor all confirmation rules for proper signal validation
Remember: This indicator is designed to replicate IBD's methodology as closely as possible within TradingView's environment. While it automates signal detection and exposure management, successful trading still requires discipline, patience, and strict adherence to risk management principles.
"The goal is not to be right about the market - it's to make money by following the market's signals and managing risk."
MTFHTS with Moving Average Ribbon and Buy/Sell Signals 3.2Multi-Timeframe Moving Average Strategy with Buy and Sell Signals
Purpose
This strategy is designed to provide clear, data-driven buy and sell signals based on moving average crossovers across multiple timeframes. It aims to help traders identify potential trend reversals and entry/exit points using a systematic approach.
How it Works
Moving Averages Across Multiple Timeframes:
Five customizable moving averages (MA №1 to MA №5) are calculated using different lengths and types, including SMA, EMA, WMA, and VWMA, to suit various trading styles.
The MAs are plotted on different timeframes, allowing traders to visualize trend alignment and identify market momentum across short, medium, and long terms.
Signals for Buying and Selling:
Buy Signals: When the shorter-term MA (MA №1) crosses above a longer-term MA (MA №2 or MA №3), the strategy triggers a buy signal, indicating potential upward momentum.
Sell Signals: When MA №1 crosses below a longer-term MA (MA №2 or MA №3), a sell signal is triggered, suggesting potential downward movement.
Visual Aids and Alerts:
The strategy uses color fills between MAs to indicate bullish (green) or bearish (red) trends, helping traders assess market conditions at a glance.
Alerts for buy and sell signals keep traders notified in real-time, helping to avoid missed opportunities.
Important Note
This strategy is purely educational and does not constitute investment advice. It serves as a tool to help traders understand how multi-timeframe moving averages and crossovers can be used in technical analysis. As with any trading strategy, we recommend testing in a simulated environment and exercising caution.
