FVG Breakout/BreakdownThe FVG Breakout/Breakdown indicator is designed to identify potential breakout and breakdown opportunities in the market, based on the concept of Fair Value Gaps (FVGs). FVGs are areas where price moves too quickly, leaving behind gaps between candlesticks, often seen as areas of inefficiency or imbalance that the market tends to revisit.
Key Concepts:
Fair Value Gaps (FVG):
FVG occurs when a price gap is created between candlesticks, typically when the high of one candle is lower than the low of the previous candle (for a bearish FVG) or the low of one candle is higher than the high of the previous candle (for a bullish FVG).
These gaps represent an imbalance between buying and selling pressure, and the market often revisits them, making them valuable for identifying potential entry points.
Bullish FVG: This occurs when the low of the current candle is higher than the high of the previous candle.
Condition: low > high
Bearish FVG: This occurs when the high of the current candle is lower than the low of the previous candle.
Condition: high < low
Breakout/Breakdown Signals:
Breakout: A bullish breakout signal occurs when the price breaks above a defined resistance level after an FVG gap. This suggests that the market may continue moving higher.
Breakdown: A bearish breakdown signal occurs when the price breaks below a defined support level after an FVG gap. This suggests that the market may continue moving lower.
NWOG (New Week Opening Gap):
The NWOG can be used as an additional factor to confirm the FVG signal. The gap between Friday's close and Monday's open is a crucial level for identifying the start of a new move for the week.
NWOG helps to further refine the timing of breakout or breakdown signals, only triggering them when price moves relative to the Monday Open and shows a new direction.
Cerca negli script per "imbalance"
MktCumTickThis script is a market sentiment indicator that calculates the cumulative TICK (Trade Imbalance Sentiment) for four major markets: NYSE (New York Stock Exchange), NASDAQ (National Association of Securities Dealers Automated Quotations), Dow Jones, and AMEX (American Stock Exchange).
Here's a breakdown of the script:
1. Market data requests: The script requests data for the four markets, including:
- TICK (Trade Imbalance Sentiment) data
- HLC3 (High, Low, Close) data
- ADVN (Advancing issues), DECL (Declining issues), and UNCH (Unchanged issues) data
2. Cumulative TICK calculation: The script calculates the cumulative TICK for each market by dividing the TICK data by the maximum TICK value for each market.
3. Plotting: The script plots the cumulative TICK values for each market as separate lines on the chart.
4. Background color: The script changes the background color of the chart based on the cumulative TICK values. If all four markets have decreasing cumulative TICK values, the background color turns red. If all four markets have increasing cumulative TICK values, the background color turns green.
The purpose of this indicator is to provide a visual representation of market sentiment across multiple markets. By analyzing the cumulative TICK values, traders can gain insights into market trends and make more informed trading decisions.
Some possible uses of this indicator include:
- Identifying market trends and sentiment
- Confirming trade entries and exits
- Monitoring market conditions and adjusting trading strategies accordingly
ICT Setup 03 [TradingFinder] Judas Swing NY 9:30am + CHoCH/FVG🔵 Introduction
Judas Swing is an advanced trading setup designed to identify false price movements early in the trading day. This advanced trading strategy operates on the principle that major market players, or "smart money," drive price in a certain direction during the early hours to mislead smaller traders.
This deceptive movement attracts liquidity at specific levels, allowing larger players to execute primary trades in the opposite direction, ultimately causing the price to return to its true path.
The Judas Swing setup functions within two primary time frames, tailored separately for Forex and Stock markets. In the Forex market, the setup uses the 8:15 to 8:30 AM window to identify the high and low points, followed by the 8:30 to 8:45 AM frame to execute the Judas move and identify the CISD Level break, where Order Block and Fair Value Gap (FVG) zones are subsequently detected.
In the Stock market, these time frames shift to 9:15 to 9:30 AM for identifying highs and lows and 9:30 to 9:45 AM for executing the Judas move and CISD Level break.
Concepts such as Order Block and Fair Value Gap (FVG) are crucial in this setup. An Order Block represents a chart region with a high volume of buy or sell orders placed by major financial institutions, marking significant levels where price reacts.
Fair Value Gap (FVG) refers to areas where price has moved rapidly without balance between supply and demand, highlighting zones of potential price action and future liquidity.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The Judas Swing setup enables traders to pinpoint entry and exit points by utilizing Order Block and FVG concepts, helping them align with liquidity-driven moves orchestrated by smart money. This setup applies two distinct time frames for Forex and Stocks to capture early deceptive movements, offering traders optimized entry or exit moments.
🟣 Bullish Setup
In the Bullish Judas Swing setup, the first step is to identify High and Low points within the initial time frame. These levels serve as key points where price may react, forming the basis for analyzing the setup and assisting traders in anticipating future market shifts.
In the second time frame, a critical stage of the bullish setup begins. During this phase, the price may create a false break or Fake Break below the low level, a deceptive move by major players to absorb liquidity. This false move often causes smaller traders to enter positions incorrectly. After this fake-out, the price reverses upward, breaking the CISD Level, a critical point in the market structure, signaling a potential bullish trend.
Upon breaking the CISD Level and reversing upward, the indicator identifies both the Order Block and Fair Value Gap (FVG). The Order Block is an area where major players typically place large buy orders, signaling potential price support. Meanwhile, the FVG marks a region of supply-demand imbalance, signaling areas where price might react.
Ultimately, after these key zones are identified, a trader may open a buy position if the price reaches one of these critical areas—Order Block or FVG—and reacts positively. Trading at these levels enhances the chance of success due to liquidity absorption and support from smart money, marking an opportune time for entering a long position.
🟣 Bearish Setup
In the Bearish Judas Swing setup, analysis begins with marking the High and Low levels in the initial time frame. These levels serve as key zones where price could react, helping to signal possible trend reversals. Identifying these levels is essential for locating significant bearish zones and positioning traders to capitalize on downward movements.
In the second time frame, the primary bearish setup unfolds. During this stage, price may exhibit a Fake Break above the high, causing a brief move upward and misleading smaller traders into incorrect positions. After this false move, the price typically returns downward, breaking the CISD Level—a crucial bearish trend indicator.
With the CISD Level broken and a bearish trend confirmed, the indicator identifies the Order Block and Fair Value Gap (FVG). The Bearish Order Block is a region where smart money places significant sell orders, prompting a negative price reaction. The FVG denotes an area of supply-demand imbalance, signifying potential selling pressure.
When the price reaches one of these critical areas—the Bearish Order Block or FVG—and reacts downward, a trader may initiate a sell position. Entering trades at these levels, due to increased selling pressure and liquidity absorption, offers traders an advantage in profiting from price declines.
🔵 Settings
Market : The indicator allows users to choose between Forex and Stocks, automatically adjusting the time frames for the "Opening Range" and "Trading Permit" accordingly: Forex: 8:15–8:30 AM for identifying High and Low points, and 8:30–8:45 AM for capturing the Judas move and CISD Level break. Stocks: 9:15–9:30 AM for identifying High and Low points, and 9:30–9:45 AM for executing the Judas move and CISD Level break.
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The Judas Swing indicator helps traders spot reliable trading opportunities by detecting false price movements and key levels such as Order Block and FVG. With a focus on early market movements, this tool allows traders to align with major market participants, selecting entry and exit points with greater precision, thereby reducing trading risks.
Its extensive customization options enable adjustments for various market types and trading conditions, giving traders the flexibility to optimize their strategies. Based on ICT techniques and liquidity analysis, this indicator can be highly effective for those seeking precision in their entry points.
Overall, Judas Swing empowers traders to capitalize on significant market movements by leveraging price volatility. Offering precise and dependable signals, this tool presents an excellent opportunity for enhancing trading accuracy and improving performance
Balance of Power [SYNC & TRADE]Balance of Power
Overview
This indicator analyzes the balance of power between buyers and sellers in the market. It uses volume, price action and the relative strength index (RSI) to determine the strength of buyers and sellers, as well as to identify potential zones where one side dominates the other.
How it works
The indicator calculates the average volume over a specified period.
It determines the strength of each bar, taking into account volume and price action.
RSI is used as an additional factor to assess the strength of the trend.
Based on these factors, the "balance of power" between buyers and sellers is calculated.
When the balance of power exceeds a specified threshold, the indicator marks the beginning of the "buyer zone" or "seller zone".
How to use
Add the indicator to your chart in TradingView.
Configure the input parameters:
"Period for average volume": determines the sensitivity to volume changes.
"RSI period": affects the sensitivity of the RSI to price changes.
"Strength threshold": sets the level for determining a significant imbalance.
"Table Size": select the appropriate size of the information table.
Observe the signals on the chart:
Blue triangle up: the beginning of the buyer zone.
Red triangle down: the beginning of the seller zone.
Use the information table to get additional data:
Current balance of power
Buyers or sellers have strength
Current RSI value
Advantages
Comprehensive analysis of market conditions
Visual signals for potential entry points
Customizable parameters to adapt to different trading styles
Informative table for quick analysis of the current situation
Limitations
Like any indicator, it can give false signals
Requires additional analysis and confirmation with other tools
Efficiency may vary depending on market conditions
Recommendations
Use this indicator in combination with other analysis methods to make trading decisions. Experiment with the settings to optimize for your trading style and selected assets.
Balance of Power Ru
Обзор
Этот индикатор анализирует баланс сил между покупателями и продавцами на рынке. Он использует объем, ценовое движение и индекс относительной силы (RSI) для определения силы покупателей и продавцов, а также для выявления потенциальных зон, где одна сторона доминирует над другой.
Как это работает
Индикатор рассчитывает среднее значение объема за указанный период.
Он определяет силу каждого бара, учитывая объем и ценовое движение.
RSI используется как дополнительный фактор для оценки силы тренда.
На основе этих факторов вычисляется "баланс сил" между покупателями и продавцами.
Когда баланс сил превышает заданный порог, индикатор отмечает начало "зоны покупателей" или "зоны продавцов".
Как использовать
Добавьте индикатор на ваш график в TradingView.
Настройте входные параметры:
"Период для среднего объема": определяет чувствительность к изменениям объема.
"Период RSI": влияет на чувствительность RSI к ценовым изменениям.
"Порог силы": устанавливает уровень для определения значимого дисбаланса.
"Размер таблицы": выберите подходящий размер информационной таблицы.
Наблюдайте за сигналами на графике:
Синий треугольник вверх: начало зоны покупателей.
Красный треугольник вниз: начало зоны продавцов.
Используйте информационную таблицу для получения дополнительных данных:
Текущий баланс сил
Наличие силы у покупателей или продавцов
Текущее значение RSI
Преимущества
Комплексный анализ рыночных условий
Визуальные сигналы для потенциальных точек входа
Настраиваемые параметры для адаптации к разным торговым стилям
Информативная таблица для быстрого анализа текущей ситуации
Ограничения
Как и любой индикатор, может давать ложные сигналы
Требует дополнительного анализа и подтверждения другими инструментами
Эффективность может варьироваться в зависимости от рыночных условий
Рекомендации
Используйте этот индикатор в сочетании с другими методами анализа для принятия торговых решений. Экспериментируйте с настройками для оптимизации под ваш торговый стиль и выбранные активы.
Bitcoin Power Law Oscillator [InvestorUnknown]The Bitcoin Power Law Oscillator is a specialized tool designed for long-term mean-reversion analysis of Bitcoin's price relative to a theoretical midline derived from the Bitcoin Power Law model (made by capriole_charles). This oscillator helps investors identify whether Bitcoin is currently overbought, oversold, or near its fair value according to this mathematical model.
Key Features:
Power Law Model Integration: The oscillator is based on the midline of the Bitcoin Power Law, which is calculated using regression coefficients (A and B) applied to the logarithm of the number of days since Bitcoin’s inception. This midline represents a theoretical fair value for Bitcoin over time.
Midline Distance Calculation: The distance between Bitcoin’s current price and the Power Law midline is computed as a percentage, indicating how far above or below the price is from this theoretical value.
float a = input.float (-16.98212206, 'Regression Coef. A', group = "Power Law Settings")
float b = input.float (5.83430649, 'Regression Coef. B', group = "Power Law Settings")
normalization_start_date = timestamp(2011,1,1)
calculation_start_date = time == timestamp(2010, 7, 19, 0, 0) // First BLX Bitcoin Date
int days_since = request.security('BNC:BLX', 'D', ta.barssince(calculation_start_date))
bar() =>
= request.security('BNC:BLX', 'D', bar())
int offset = 564 // days between 2009/1/1 and "calculation_start_date"
int days = days_since + offset
float e = a + b * math.log10(days)
float y = math.pow(10, e)
float midline_distance = math.round((y / btc_close - 1.0) * 100)
Oscillator Normalization: The raw distance is converted into a normalized oscillator, which fluctuates between -1 and 1. This normalization adjusts the oscillator to account for historical extremes, making it easier to compare current conditions with past market behavior.
float oscillator = -midline_distance
var float min = na
var float max = na
if (oscillator > max or na(max)) and time >= normalization_start_date
max := oscillator
if (min > oscillator or na(min)) and time >= normalization_start_date
min := oscillator
rescale(float value, float min, float max) =>
(2 * (value - min) / (max - min)) - 1
normalized_oscillator = rescale(oscillator, min, max)
Overbought/Oversold Identification: The oscillator provides a clear visual representation, where values near 1 suggest Bitcoin is overbought, and values near -1 indicate it is oversold. This can help identify potential reversal points or areas of significant market imbalance.
Optional Moving Average: Users can overlay a moving average (either SMA or EMA) on the oscillator to smooth out short-term fluctuations and focus on longer-term trends. This is particularly useful for confirming trend reversals or persistent overbought/oversold conditions.
This indicator is particularly useful for long-term Bitcoin investors who wish to gauge the market's mean-reversion tendencies based on a well-established theoretical model. By focusing on the Power Law’s midline, users can gain insights into whether Bitcoin’s current price deviates significantly from what historical trends would suggest as a fair value.
Buyside & Sellside Liquidity [LuxAlgo]The Buyside & Sellside Liquidity indicator aims to detect & highlight the first and arguably most important concept within the ICT trading methodology, Liquidity levels.
🔶 SETTINGS
🔹 Liquidity Levels
Detection Length: Lookback period
Margin: Sets margin/sensitivity for a liquidity level detection
🔹 Liquidity Zones
Buyside Liquidity Zones: Enables display of the buyside liquidity zones.
Margin: Sets margin/sensitivity for the liquidity zone boundaries.
Color: Color option for buyside liquidity levels & zones.
Sellside Liquidity Zones: Enables display of the sellside liquidity zones.
Margin: Sets margin/sensitivity for the liquidity zone boundaries.
Color: Color option for sellside liquidity levels & zones.
🔹 Liquidity Voids
Liquidity Voids: Enables display of both bullish and bearish liquidity voids.
Label: Enables display of a label indicating liquidity voids.
🔹 Display Options
Mode: Controls the lookback length of detection and visualization, where Present assumes last 500 bars and Historical assumes all data available to the user
# Visible Levels: Controls the amount of the liquidity levels/zones to be visualized.
🔶 USAGE
Definitions of Liquidity refer to the availability of orders at specific price levels in the market, allowing transactions to occur smoothly.
In the context of Inner Circle Trader's teachings, liquidity mainly relates to stop losses or pending orders and liquidity level/pool, highlighting a concentration of buy or sell orders at specific price levels. Smart money traders, such as banks and other large institutions, often target these liquidity levels/pools to accumulate or distribute their positions.
There are two types of liquidity; Buyside liquidity and Sellside liquidity .
Buyside liquidity represents a level on the chart where short sellers will have their stops positioned, and Sellside liquidity represents a level on the chart where long-biased traders will place their stops.
These areas often act as support or resistance levels and can provide trading opportunities.
When the liquidity levels are breached at which many stop/limit orders are placed have been traded through, the script will create a zone aiming to provide additional insight to figure out the odds of the next price action.
Reversal: It’s common that the price may reverse course and head in the opposite direction, seeking liquidity at the opposite extreme.
Continuation: When the zone is also broken it is a sign for continuation price action.
It's worth noting that ICT concepts are specific to the methodology developed by Michael J. Huddleston and may not align with other trading approaches or strategies.
🔶 DETAILS
Liquidity voids are sudden changes in price when the price jumps from one level to another. Liquidity voids will appear as a single or a group of candles that are all positioned in the same direction. These candles typically have large real bodies and very short wicks, suggesting very little disagreement between buyers and sellers. The peculiar thing about liquidity voids is that they almost always fill up.
🔶 ALERTS
When an alert is configured, the user will have the ability to be notified in case;
Liquidity level is detected/updated.
Liquidity level is breached.
🔶 RELATED SCRIPTS
ICT-Concepts
ICT-Macros
Imbalance-Detector
Market Structure & Liquidity: CHoCHs+Nested Pivots+FVGs+Sweeps//Purpose:
This indicator combines several tools to help traders track and interpret price action/market structure; It can be divided into 4 parts;
1. CHoCHs, 2. Nested Pivot highs & lows, 3. Grade sweeps, 4. FVGs.
This gives the trader a toolkit for determining market structure and shifts in market structure to help determine a bull or bear bias, whether it be short-term, med-term or long-term.
This indicator also helps traders in determining liquidity targets: wether they be voids/gaps (FVGS) or old highs/lows+ typical sweep distances.
Finally, the incorporation of HTF CHoCH levels printing on your LTF chart helps keep the bigger picture in mind and tells traders at a glance if they're above of below Custom HTF CHoCH up or CHoCH down (these HTF CHoCHs can be anything from Hourly up to Monthly).
//Nomenclature:
CHoCH = Change of Character
STH/STL = short-term high or low
MTH/MTL = medium-term high or low
LTH/LTL = long-term high or low
FVG = Fair value gap
CE = consequent encroachement (the midline of a FVG)
~~~ The Four components of this indicator ~~~
1. CHoCHs:
•Best demonstrated in the below charts. This was a method taught to me by @Icecold_crypto. Once a 3 bar fractal pivot gets broken, we count backwards the consecutive higher lows or lower highs, then identify the CHoCH as the opposite end of the candle which ended the consecutive backwards count. This CHoCH (UP or DOWN) then becomes a level to watch, if price passes through it in earnest a trader would consider shifting their bias as market structure is deemed to have shifted.
•HTF CHoCHs: Option to print Higher time frame chochs (default on) of user input HTF. This prints only the last UP choch and only the last DOWN choch from the input HTF. Solid line by default so as to distinguish from local/chart-time CHoCHs. Can be any Higher timeframe you like.
•Show on table: toggle on show table(above/below) option to show in table cells (top right): is price above the latest HTF UP choch, or is price below HTF DOWN choch (or is it sat between the two, in a state of 'uncertainty').
•Most recent CHoCHs which have not been met by price will extend 10 bars into the future.
• USER INPUTS: overall setting: SHOW CHOCHS | Set bars lookback number to limit historical Chochs. Set Live CHoCHs number to control the number of active recent chochs unmet by price. Toggle shrink chochs once hit to declutter chart and minimize old chochs to their origin bars. Set Multi-timeframe color override : to make Color choices auto-set to your preference color for each of 1m, 5m, 15m, H, 4H, D, W, M (where up and down are same color, but 'up' icon for up chochs and down icon for down chochs remain printing as normal)
2. Nested Pivot Highs & Lows; aka 'Pivot Highs & Lows (ST/MT/LT)'
•Based on a seperate, longer lookback/lookforward pivot calculation. Identifies Pivot highs and lows with a 'spikeyness' filter (filtering out weak/rounded/unimpressive Pivot highs/lows)
•by 'nested' I mean that the pivot highs are graded based on whether a pivot high sits between two lower pivot highs or vice versa.
--for example: STH = normal pivot. MTH is pivot high with a lower STH on either side. LTH is a pivot high with a lower MTH on either side. Same applies to pivot lows (STL/MTL/LTL)
•This is a useful way to measure the significance of a high or low. Both in terms of how much it might be typically swept by (see later) and what it would imply for HTF bias were we to break through it in earnest (more than just a sweep).
• USER INPUTS: overall setting: show pivot highs & lows | Bars lookback (historical pivots to show) | Pivots: lookback/lookforward length (determines the scale of your pivot highs/lows) | toggle on/off Apply 'Spikeyness' filter (filters out smooth/unimpressive pivot highs/lows). Set Spikeyness index (determines the strength of this filter if turned on) | Individually toggle on each of STH, MTH, LTH, STL, MTL, LTL along with their label text type , and size . Toggle on/off line for each of these Pivot highs/lows. | Set label spacer (atr multiples above / below) | set line style and line width
3. Grade Sweeps:
•These are directly related to the nested pivots described above. Most assets will have a typical sweep distance. I've added some of my expected sweeps for various assets in the indicator tooltips.
--i.e. Eur/Usd 10-20-30 pips is a typical 'grade' sweep. S&P HKEX:5 - HKEX:10 is a typical grade sweep.
•Each of the ST/MT/LT pivot highs and lows have optional user defined grade sweep boxes which paint above until filled (or user option for historical filled boxes to remain).
•Numbers entered into sweep input boxes are auto converted into appropriate units (i.e. pips for FX, $ or 'handles' for indices, $ for Crypto. Very low $ units can be input for low unit value crypto altcoins.
• USER INPUTS: overall setting: Show sweep boxes | individually select colors of each of STH, MTH, LTH, STL, MTL, LTL sweep boxes. | Set Grade sweep ($/pips) number for each of ST, MT, LT. This auto converts between pips and $ (i.e. FX vs Indices/Crypto). Can be a float as small or large as you like ($0.000001 to HKEX:1000 ). | Set box text position (horizontal & vertical) and size , and color . | Set Box width (bars) (for non extended/ non-auto-terminating at price boxes). | toggle on/off Extend boxes/lines right . | Toggle on/off Shrink Grade sweeps on fill (they will disappear in realtime when filled/passed through)
4. FVGs:
•Fair Value gaps. Represent 'naked' candle bodies where the wicks to either side do not meet, forming a 'gap' of sorts which has a tendency to fill, or at least to fill to midline (CE).
•These are ICT concepts. 'UP' FVGS are known as BISIs (Buyside imbalance, sellside inefficiency); 'DOWN' FVGs are known as SIBIs (Sellside imbalance, buyside inefficiency).
• USER INPUTS: overall setting: show FVGs | Bars lookback (history). | Choose to display: 'UP' FVGs (BISI) and/or 'DOWN FVGs (SIBI) . Choose to display the midline: CE , the color and the line style . Choose threshold: use CE (as opposed to Full Fill) |toggle on/off Shrink FVG on fill (CE hit or Full fill) (declutter chart/see backtesting history)
////••Alerts (general notes & cautionary notes)::
•Alerts are optional for most of the levels printed by this indicator. Set them via the three dots on indicator status line.
•Due to dynamic repainting of levels, alerts should be used with caution. Best use these alerts either for Higher time frame levels, or when closely monitoring price.
--E.g. You may set an alert for down-fill of the latest FVG below; but price will keep marching up; form a newer/higher FVG, and the alert will trigger on THAT FVG being down-filled (not the original)
•Available Alerts:
-FVG(BISI) cross above threshold(CE or full-fill; user choice). Same with FVG(SIBI).
-HTF last CHoCH down, cross below | HTF last CHoCH up, cross above.
-last CHoCH down, cross below | last CHoCH up, cross above.
-LTH cross above, MTH cross above, STH cross above | LTL cross below, MTL cross below, STL cross below.
////••Formatting (general)::
•all table text color is set from the 'Pivot highs & Lows (ST, MT, LT)' section (for those of you who prefer black backgrounds).
•User choice of Line-style, line color, line width. Same with Boxes. Icon choice for chochs. Char or label text choices for ST/MT/LT pivot highs & lows.
////••User Inputs (general):
•Each of the 4 components of this indicator can be easily toggled on/off independently.
•Quite a lot of options and toggle boxes, as described in full above. Please take your time and read through all the tooltips (hover over '!' icon) to get an idea of formatting options.
•Several Lookback periods defined in bars to control how much history is shown for each of the 4 components of this indicator.
•'Shrink on fill' settings on FVGs and CHoCHs: Basically a way to declutter chart; toggle on/off depending on if you're backtesting or reading live price action.
•Table Display: applies to ST/MT/LT pivot highs and to HTF CHoCHs; Toggle table on or off (in part or in full)
////••Credits:
•Credit to ICT (Inner Circle Trader) for some of the concepts used in this indicator (FVGS & CEs; Grade sweeps).
•Credit to @Icecold_crypto for the specific and novel concept of identifying CHoCHs in a simple, objective and effective manner (as demonstrated in the 1st chart below).
CHoCH demo page 1: shifting tweak; arrow diagrams to demonstrate how CHoCHs are defined:
CHoCH demo page 2: Simplified view; short lookback history; few CHoCHs, demo of 'latest' choch being extended into the future by 10 bars:
USAGE: Bitcoin Hourly using HTF daily CHoCHs:
USAGE-2: Cotton Futures (CT1!) 2hr. Painting a rather bullish picture. Above HTF UP CHoCH, Local CHoCHs show bullish order flow, Nice targets above (MTH/LTH + grade sweeps):
Full Demo; 5min chart; CHoCHs, Short term pivot highs/lows, grade sweeps, FVGs:
Full Demo, Eur/Usd 15m: STH, MTH, LTH grade sweeps, CHoCHs, Usage for finding bias (part A):
Full Demo, Eur/Usd 15m: STH, MTH, LTH grade sweeps, CHoCHs, Usage for finding bias, 3hrs later (part B):
Realtime Vs Backtesting(A): btc/usd 15m; FVGs and CHoCHs: shrink on fill, once filled they repaint discreetly on their origin bar only. Realtime (Shrink on fill, declutter chart):
Realtime Vs Backtesting(B): btc/usd 15m; FVGs and CHoCHs: DON'T shrink on fill; they extend to the point where price crosses them, and fix/paint there. Backtesting (seeing historical behaviour):
Equilibrium╭━━━╮╱╱╱╱╱╱╭╮╱╭╮
┃╭━━╯╱╱╱╱╱╱┃┃╱┃┃
┃╰━━┳━━┳╮╭┳┫┃╭┫╰━┳━┳┳╮╭┳╮╭╮
┃╭━━┫╭╮┃┃┃┣┫┃┣┫╭╮┃╭╋┫┃┃┃╰╯┃
┃╰━━┫╰╯┃╰╯┃┃╰┫┃╰╯┃┃┃┃╰╯┃┃┃┃
╰━━━┻━╮┣━━┻┻━┻┻━━┻╯╰┻━━┻┻┻╯
╱╱╱╱╱╱┃┃
╱╱╱╱╱╱╰╯
Overview
Equilibrium is a tool designed to measure the buying & selling pressure in the market. It is depicted as a “pressure gauge” that automatically adjusts as new candles are formed, providing a real-time indication of who's on top right now, buyers or sellers?
Background
Supply & demand is considered to be the main driving force of our modern economies, where the interaction between the two parties(sellers & buyers) leads to the determination of the fair price for a given product. Stock markets are no exception, they operate very much based around the idea of supply & demand.
In simple terms, supply refers to the availability of a product, and demand is the willingness of consumers to buy that product at a given price. It is obvious that different vendors may sell the same product at slightly different prices, and similarly, different customers may choose to buy the same product from different vendors at varying prices. The idea is that the price is allowed to fluctuate from time to time, but in a free & fair market, the price will eventually settle down to a value that makes both the parties happy. Such a state is known as the “Price-Equilibrium”, and this process is also referred to as the market mechanism.
This is the basic assumption around which this tool is based, the market is always trying to move towards a state of equilibrium.
Calculations
This tool takes a simplistic approach to estimate the degree of imbalance between buyers & sellers, here’s a brief summary of how the pressure is calculated:
- We compute the total lengths of red & green candles for a given period, i.e. price range multiplied by the volume for that candle.
- Then the distribution of each type of candle is calculated.
- Assuming more red candles denote more selling pressure, and green candles denote buying pressure, the gauge is populated cell by cell.
- As the pressure on one side increases, the intensity of the cell color also increases, signifying the extent to which one side is dominating.
How to use it
- The indicator is designed as a pressure gauge that moves up(vertical alignment) or to the right(horizontal alignment) as the buying pressure increases, and moves down or to the left as the selling pressure increases. How it is to be used & applied, that completely depends on your trading methodology. But, the general idea is that we expect the market to be in a state of equilibrium, and if that is not the case the tool will highlight that, and this is also where the opportunity lies to find suitable trades.
- Just by having an idea about who’s dominating the market currently, a trader can also pick sides wisely. Remember, the market is always striving to come back a state of equilibrium, and a slight imbalance can indicate the current trend, and more importantly, who’s more likely to make the next move.
User Settings
The tool offers some minimal configurations for the end user:
- You can choose to display the actual percentage value in the gauge(Show Text).
- You can adjust colors that denote buyers & sellers.
- You can change the layout of gauge, default is vertical(right side of the screen).
- Last, and most important, you can adjust the number of candles to traverse for calculating the pressure. Default is 50, can go upto 1000.
Trail Blaze - (Multi Function Trailing Stop Loss) - [mutantdog]Shorter version:
As the title states, this is a 'Trailing Stop' type indicator, albeit one with a whole bunch of additional functionality, making it far more versatile and customisable than a standard trailing stop.
The main set of features includes:
Three independent trailing types each with their own +/- multipliers:
- Standard % change
- ATR (aka Supertrend)
- IQR (inter-quartile range)
These can be used in isolation or summed together. A subsequent pair of direction specific multipliers are also included.
Two separate custom source inputs are available, both feature the standard options alongside a selection of 'weighted inputs' and the option to use another indicator (selected via 'AUX'):
- 'Centre' determines the value about which the trailing sum will be added to define the stop level.
- 'Trigger' determines the value used for crossing of stops, initiating trend changes and triggering alerts.
A selection of optional filters and moving averages are available for both.
Furthermore there are various useful visualisation options available, including the underlying bands that govern the stop levels. Preset alerts for trend reversals are also included.
This is not really an 'out-of-the-box' indicator. Depending upon the market and timeframe some adjustments will be necessary for it to function in a useful manner, these can be as simple or complex as the feature-set allows. Basic settings are easy to dial in however and the default state is intended as a good starting point. Alternatively with some experimentation, a plethora of unique and creative configurations are possible, making this a great tool for tweaking. Below is a more detailed overview followed by a bunch of simple example settings.
------------------------
Lengthy Version :
DESIGN & CONCEPT
Before we start breaking this down, a little background. This started off as an attempt to improve upon the ever-popular Supertrend indicator. Of course there are many excellent user created variants available utilising some interesting methods to overcome the drawbacks of the basic version. To that end, rather than copying the work of others, the direction here shifted towards a hybrid trailing stop loss with a bunch of additional user customisation options. At some point, a completely different project involving IQR got morphed into this one. After sitting through months of sideways chop (where this proved to be of limited use), at the time of publication the market has began to form some near term trend direction and it appears to be performing well in many different timeframes.
And so with that out of the way...
INPUTS
The standard Supertrend (and most other variants) includes a single source input, as default set to 'hl2' (candle mid-range). This is the centre around which the atr bands are added/subtracted to govern the stop levels. This is not however the value which is used to trigger the trend reversal, that is usually hard-coded to 'close'. For this version both source values are adjustable: labelled 'centre' and 'trigger' respectively.
Each has custom input selectors including the usual options, a selection of 'weighted inputs' and the option to use another indicator (selected from the Aux input). The 'weighted inputs' are those introduced in Weight Gain 4000, for more details please refer to that listing. These should be treated as experimental, however may prove useful in certain configurations. In this case 'hl-oc2' can be considered an estimate of the candle median and may be a good alternative to the default 'centre' setting of 'hl2', in contrast 'cc-ohlc4' can tend to favour the extremes in the trend direction so could be useful as a faster 'trigger' than the default 'close'.
To cap them off both come with a selection of moving average filters (SMA, EMA, WMA, RMA, HMA, VWMA and a simple VWEMA - note: not elastic) aswell as median and mid-range. 'Centre' can also be set to the output of 'trigger' post-filter which can be useful if working with fast/slow crosses as the basis.
DYNAMICS
This is the main section, comprised of three separate factors: 'TSL', 'ATR' and 'IQR'. The first two should be fairly obvious, 'TSL' (trailing stop loss) is simply a percentage of the 'centre' value while 'ATR' (average true range) is the standard RMA-based version as used in Supertrend, Volatility Stop etc.
The third factor is less common however: 'IQR' (inter-quartile range). In case you are unfamiliar the principle here is, for a given dataset, the greatest 25% and smallest 25% of samples are removed. The remainder is then treated as a set and the range is calculated by highest - lowest. This is a commonly used method in statistical analysis, by removing the extremes it is less prone to influence by outliers and gives a good representation of the main dispersion around the median. In practise i have found it can be a good alternative to ATR, translating better across multiple time-frames due to it representing a fraction of the total range rather than an average of per-candle range like ATR. Used in combination with the others it can also add a factor more representative of longer-term/higher-timeframe trend. By discarding outliers it also benefits from not being impacted by brief pumps/volatility, instead responding only to more sustained changes in trend, such as rallies and parabolic moves. In order to give an accurate result the IQR is calculated using a dataset of high, low and hlcc4 values for all bars within the lookback length. Once calculated this value is then halved which, strictly speaking, makes it a semi-interquartile range.
All three of these components can be used individually or summed together to create a hybrid dynamics factor. Furthermore each multiplier can be set to both positive and negative values allowing for some interesting and creative possibilities. An optional smoothing filter can be applied to the sum, this is a basic SWMA-4 which is can reduce the impact of sudden changes but does incur a noticeable lag. Finally, a basic limiter condition has been hard-coded here to prevent the sum total from ever going below zero.
Capping off this section is a pair of direction multipliers. These simply take the prior dynamics sum and allow for further multiplication applied only to one side (uptrend/lo-stop and downtrend/hi-stop). To see why this is useful consider that markets often behave differently in each direction, we've all seen prices steadily climb over several weeks and then abruptly dump in the process of a day or two, shorter time frames are no stranger to this either. A lack of downside liquidity, a panicked market, aggressive shorts. All these things contribute to significant differences in downward price action. This function allows for tighter stops in one direction compared to the other to reflect this imbalance.
VISUALISATIONS
With all of these options and possibilities, some visual aids are useful. Beneath the dynamics' section are several visual options including both sources post-filter and the actual 'bands' created by the dynamics. These are what govern the stop levels and seeing them in full can help to better understand what our various configurations actually do. We can even hide the stop levels altogether and just use the bands, making this a kind of expanded Keltner Channel. Here we can also find colour and opacity settings for everything we've discussed.
EXAMPLES
The obvious first example here is the standard %-change trailing stop loss which, from my experience, tends to be the best suited for lower time frames. Filtering should probably minimal here. In both charts here we use the default config for source inputs, the top is a standard bi-directional setup with 1.5% tsl while the bottom uses a 2.5% tsl with the histop multiplier reduced to 0 resulting in an uptrend only stoploss.
Shown here in grey is the standard Supertrend which uses 'hl2' as centre and 'close' as trigger, ATR(10) multiplied by 3. On top we have the default filtered source config with ATR(8) multiplied by 2 which gives a different yet functionally similar result, below is the same source config instead using IQR(12) multiplied by 2. Notice here the more 'stepped' response from IQR following the central rally, holding back for a while before closing in on price and ultimately initiating reversal much sooner. Unlike ATR, the length parameter for IQR is absolute and can more significantly affect its responsiveness.
Next we focus on the visualisation options, on top we have the default source config with ATR(8) multiplied by 2 and IQR(12) multiplied by 1. Here we have activated the switch to show 'bands', from this we can see the actual summed dynamics and how it influences the stop levels. Below that we have an altogether different config utilising the included filters which are now visible. In this example we have created a basic 8/21 EMA cross and set a 1% TSL, notice the brief fakeout in the middle which ordinarily might indicate a buy signal. Here the TSL functions as an additional requirement which in this case is not met and thus no buy signal is given.
Finally we have a couple of more 'experimental' examples. On top we have Lazybear's 'Variable Moving Average' in white which has been assigned via 'aux' as the centre with no additional filtering, the default config for trigger is used here and a basic TSL of 1.5% added. It's a simple example but it shows how this can be applied to other indicators. At the bottom we return to the default source config, combining a TSL of 8% with IQR(24) multiplied by -2. Note here the negative IQR with greater length which causes the stop to close in on price following significant deviations while otherwise remaining fairly wide. Combining positive and negative multiples of each factor can yield mixed results, some more useful than others depending upon suitable market conditions.
Since this has been quite lengthy, i shall leave it there. Suffice to say that there are plenty more ways to use this besides these examples. Please feel free to share any of your own ideas in the comments below. Enjoy.
coates moving averages (cma)This indicator uses three moving averages:
2 period low simple ma
2 period high simple ma
9 period least squares ma
The trend is determined by the angle of the moving averages, current close relative the the 9 least squares ma (lsm) and the current close relative to the prior two periods high and low.
When there are consecutive closes inside the prior two candles high and low then a range is signaled:
In ranges the buy zone is between the lowest low and the lowest close of the current range. The sell zone is between the highest high and the highest close. The zones are adjusted as long as the new close is within the prior two candles range:
When price closes above the 2 high ma and the 9 lsm then a bull trend is signaled if all moving averages are angled upward (as seen at #4 in the chart above and #1 the chart below ). If the 9 lsm and / or the 2 low ma continue to angle downward, following a close above the 2 high ma and 9 lsm, then a prolonged range or reversal is expected (#2 in the chart below):
During a bull trend the buy zone is between the 2 low ma and the 9 lsm. The profit target is the 2 high ma:
During dip buying opportunities price should resist closing below the 9 lsm. If there is one close below the 9 lsm then it is a canary in the coalmine that tells us to proceed with caution. This will often signal a range, based on the conditions outlined above. To avoid a prolonged range, or reversal, price needs to immediately react in the direction of the prevailing trend:
If the moving averages are angled down and the most recent close is below the 2 low ma and 9 lsm then trend is fully bearish:
During a bear trend the short zone is between the 2 high ma and 9 lsm. The profit target is the 2 low ma:
When the 2 high ma angles down and the 2 low ma angles up while price closes inside both mas then it indicates a cma squeeze:
Volatility is expected in the direction of the breakout following the squeeze. In this situation traps / shakeouts are common. If there is a wick outside the cma, with a close inside, then it indicates a trap / shakeout. If there is a close outside the 2 high / low ma then it signals a breakout.
A trend is considered balanced when the 9 lsm is roughly equidistant from the 2 low and 2 high mas. If the 9 lsm crosses the 2 high or 2 low ma then it signals exhaustion / imbalance.
For a stop loss I use the prior three periods low, for bull trends, and the prior three periods high for bear trends. I would expect other reliable stops, such as the parabolic sar or bill williams fractal, to be effective as well. The default moving averages should be very effective on all timeframes and assets classes, however this indicator was developed for bitcoin with a focus on higher timeframes such as the 4h, daily and weekly.
As with any other technical indicator there will be bad signals. Proceed with caution and never risk more than you are willing to lose.
Position Trading Strategy - EMA + FVGMulti-Timeframe Momentum & Pattern Recognition System
This comprehensive trading indicator combines multiple technical analysis components to identify high-probability entry and exit signals for Bitcoin and other assets. The system utilizes:
LuxAlgo Fair Value Gap Detection - Identifies institutional order flow imbalances
Hull Suite & MACD Integration - Confirms trend direction and momentum shifts
Pyramid Scoring System - Ranks signal strength using multiple confluences
Smart Position Management - Provides clear long/short entry and exit alerts
Visual Market Structure - Displays key support/resistance levels and gap zones
The indicator generates scored signals based on the alignment of trend, momentum, and market structure, helping traders identify optimal entry points while managing risk through systematic exit conditions. Perfect for swing trading and scalping strategies on multiple timeframes.
Best Used For: BTC/USD, major forex pairs, and liquid cryptocurrency markets
Recommended Timeframes: 5M, 15M, 1H for optimal signal accuracy
ROGUE ICT PRORogue ICT PRO — Smart Money Confluence Tool
The Rogue ICT Buy/Sell indicator is a precision-built, multi-confirmation tool inspired by Inner Circle Trader (ICT) concepts. It identifies high-probability trade setups using market structure, fair value gaps, killzone sessions, and higher timeframe trend alignment.
✅ Core Features
🔹 Market Structure Shift (MSS)
Detects clean breaks of swing highs or lows, indicating potential trend continuation or reversal.
🔹 Fair Value Gap Detection (FVG)
Automatically highlights institutional imbalances — essential ICT confluence zones.
🔹 Smart Killzone Filtering
Signals only trigger during high-liquidity sessions:
Asian (19:00–22:00)
London (02:00–05:00)
New York (07:00–10:00)
Each session is color-highlighted on the chart.
🔹 HTF EMA Bias Filter
Only trades in the direction of the Higher Timeframe 50 EMA (e.g., 1H on 5M chart). This ensures entries align with institutional directional bias. I have default set to the Daily 9 EMA but can be changed to your preference.
🔹 ATR-Based Stop Loss & Take Profit Lines
SL is calculated using ATR × multiplier
TP is placed using a customizable Risk-Reward Ratio
Both levels are plotted on the chart with "SL" and "TP" labels.
🔹 Cooldown Logic
Prevents overtrading by requiring a minimum number of bars between each signal.
FVG fill with immediate rebalance [LuciTech]The "FVG fill with immediate rebalance AKA Golden Arrow" indicator is designed to identify Fair Value Gaps (FVGs) and detect immediate rebalances to highlight potential trading opportunities. It uses colored boxes to mark FVGs and triangular markers to signal bullish or bearish setups, helping traders pinpoint key price levels where imbalances occur and price reactions are likely.
Key Features
FVG Detection: Spots bullish and bearish Fair Value Gaps based on price action, with customizable width settings.
Golden Arrow Signals: Displays triangular markers when price fills an FVG and immediately rebalances, indicating potential reversal or continuation zones.
Customizable Colors: Bullish FVGs appear in green and bearish FVGs in red by default, with options to tweak colors in the settings.
Time Filter: Allows signals to be restricted to a specific time window, highlighted by a background fill for clarity.
Alert System: Supports TradingView alerts for "Bullish Golden Arrow" and "Bearish Golden Arrow" signals to keep traders updated on setups.
How It Works
FVG Calculation: Analyzes gaps between candles to identify FVGs, with user-defined minimum width options (points, percentages, or ATR-based).
Signal Generation: Triggers a Golden Arrow signal when price fills the FVG and rebalances immediately, based on wick penetration and closing conditions.
Visual Aids:
Bullish FVGs are shown as green boxes, bearish FVGs as red boxes.
Upward triangles mark bullish signals, downward triangles mark bearish signals.
Time-Based Filtering: Optionally limits signals to specific hours, with a background fill showing the active period.
cd_cisd_market_CxHi Traders,
Overview:
Many traders follow market structure to identify the market direction and seek trade opportunities in line with the trend.
However, markings derived from user-defined inputs can create different structures, depending on personal choices. For instance, choosing a pivot distance of 3 instead of 2 alters the structure, even though the chart remains the same. Ideally, the structure should remain consistent.
"Change in State Delivery" ( CISD ) is a widely accepted concept among traders and is considered a significant indicator of market direction based on the gain/loss of CISD levels.
In this indicator, CISD is selected as the primary criterion for marking market structure, eliminating the influence of user-dependent variations.
Here is a summary of the key logic and rules applied:
• When the price forms a new high/low, that level is only considered a pivot if a CISD has occurred.
• A bullish CISD is always followed by a bearish CISD, and vice versa.
• Pivot points form the internal structure.
• The internal structure is used to interpret the swing structure.
• Probabilities are derived from internal structure patterns.
________________________________________
Details:
How is CISD determined?
As is commonly known:
• When price makes a new high, the opening level of the first candle in the consecutive bullish candle sequence is marked.
• When price makes a new low, the opening of the first candle in the consecutive bearish sequence is marked.
• If there’s only one candle in the sequence, its opening level is used.
In a bullish market, losing a bearish CISD level (i.e., a close below it) or in a bearish market, gaining a bullish CISD level (i.e., a close above it) is interpreted as a potential shift in buyer-seller dominance and a possible market reversal.
________________________________________
How are internal (pivot) levels determined?
• When price closes below a bearish CISD level, the highest candle's high becomes a pivot high (PH).
• When price closes above a bullish CISD level, the lowest candle's low becomes a pivot low (PL).
• If the new PH is above the previous PH, it’s labeled as HH (Higher High); otherwise, LH (Lower High).
• If the new PL is below the previous PL, it’s labeled as LL (Lower Low); otherwise, HL (Higher Low).
________________________________________
Internal Market Structure:
• A series of HHs indicates a bullish internal structure.
• A series of LLs indicates a bearish internal structure.
________________________________________
Swing (Main) Market Structure:
Using internal pivots and previous swing levels, the main market structure is derived.
• A new swing high (SH) requires the price to move above the previous SH.
• A new swing low (SL) requires the price to move below the previous SL.
________________________________________
Probability Calculation:
Pivot levels forming the internal structure are coded as five-element sequences.
There are 64 possible combinations of such sequences made from consecutive PH and PL values.
Each pattern’s frequency from its starting candle is tracked.
To make it more understandable:
For example, after the four-sequence “HH, LL, LH,HL”, either HH or LH might follow.
The table shows the statistical likelihood of both possible outcomes for the most recent four-element sequence on the chart.
________________________________________
How reliable is it?
To assess reliability, results are calculated from the beginning using:
Success Rate (Suc. Rt) = Number of Correct Predictions / Total Predictions
This value is added to the table for reference.
It’s important to note that no statistical outcome guarantees certainty—every result offers a different interpretation. What truly matters is to avoid getting stopped out 😊.
________________________________________
Menu Options:
Show/hide preferences and color selections can be customized via the indicator menu.
________________________________________
What’s Coming in Future Versions?
Features such as FVG (Fair Value Gaps) between swing levels, volume imbalances, order blocks / mitigation blocks, Fibonacci levels, and relevant trade suggestions will be added.
________________________________________
This is a BETA version that I believe will help simplify your market reading. I’d be happy to hear your feedback and suggestions.
Cheerful Trading!
Anti-SMT + FVG SignalMade by Laila
Anti-SMT + FVG Strategy
A contrarian price-action strategy that combines SMT illusion with Fair Value Gap (FVG) confirmation and multiple filters.
Strategy Concept
This strategy challenges traditional SMT divergence logic. Instead of entering trades based on expected SMT divergence between correlated pairs (e.g., EURUSD and DXY), it assumes the divergence is false and will reverse. The concept is to take advantage of these false signals, also known as "SMT illusions."
To confirm the setup, the strategy integrates Fair Value Gaps (FVGs), which are price imbalances left unfilled between candle 1 and 3.
Anti-SMT Logic
Short Entry:
EURUSD makes a new high (Candle 1)
DXY does not make a new low
Long Entry:
EURUSD makes a new low (Candle 1)
DXY does not make a new high
This divergence is considered false, and the strategy expects a reversal.
Fair Value Gap (FVG) Confirmation
A trade is only triggered if the price touches a Fair Value Gap during:
Candle 1 (the candle that forms the SMT illusion), or
Candle 2 (entry confirmation)
This helps avoid low-quality setups and increases entry precision.
Additional Filters
To improve robustness and prevent overfitting, the strategy includes:
EMA Trend Filter:
Long entries are allowed only if price is above the 50 EMA
Short entries are allowed only if price is below the 50 EMA
Time Filter:
Trades are only permitted between 08:00 and 18:00 UTC
Cooldown Filter:
A minimum of 10 candles between trades is required to prevent overtrading
Strategy Parameters and Defaults
Optimized for EURUSD on the 4-hour (4H) timeframe
Includes realistic commission and slippage
Uses conservative position sizing (e.g., 1% per trade)
Backtesting over hundreds of trades shows approximately 57% win rate under default conditions
These results are historical and do not guarantee future performance
Purpose and Value
This strategy offers a structured and logical approach to contrarian trading by:
Introducing the concept of false SMT divergence
Using price inefficiencies (FVGs) as confirmation
Filtering trades with realistic and widely accepted conditions
Encouraging quality over quantity through strict entry rules
It is not a simple mashup but a well-defined trading system that blends institutional concepts in a usable framework.
S&P Power Hour Liquidity Sweep StrategyThis indicator is designed for intraday traders who want to take advantage of liquidity grabs, break of structure (BOS), and optimal entry points during the most volatile hours of the trading day: the NYSE Power Hours (09:30–10:30 AM and 02:30–04:00 PM EST).
Key Features:
Power Hour Detection:
Automatically identifies the two most liquid hours of the trading session.
Liquidity Sweep Detection:
Highlights when price sweeps a recent swing high or low — a common trap before reversals.
Break of Structure (BOS):
Confirms trend shift after a liquidity sweep with smart money-style BOS markers.
Fair Value Gap (FVG) Highlighting: (Optional)
Spot institutional imbalances between candles to fine-tune trade entries.
How It Works:
Wait for price to sweep a swing high or low during the power hours.
Look for a break of structure (BOS) in the opposite direction.
Enter on the next candle or FVG retest.
The indicator will plot a yellow circle for entry, a red line for stop, and a green line for the target (based on your RR setting).
Customizable Inputs:
Swing sensitivity (lookback bars)
Risk-to-reward ratio
Optional FVG visibility
Best Used With:
Higher timeframe bias (15m/1H)
Order blocks or volume analysis
Avoiding major news events
Whether you're a scalper or precision-based intraday trader, this tool helps you spot high-probability reversal setups with clean visuals and clear confirmations.
Path of Least ResistancePath of Least Resistance (PLR)
Concept Overview
The Path of Least Resistance indicator identifies key zones on your chart that act like "muddy" or "sticky" areas where price tends to get bogged down, creating choppy and unpredictable price action. Between these zones lie the "empty spaces" - clear paths where price can move freely with momentum and direction.
The Analogy: Muddy Fields vs Open Roads
Think of your chart like a landscape:
🟫 ZONES (Muddy/Sticky Areas)
Fair Value Gaps (FVGs) from higher timeframes
Pivot wick zones from higher timeframe pivots
Areas where price gets "stuck" and churns
Like walking through thick mud - slow, choppy, unpredictable movement
Price action becomes erratic and difficult to trade
🟢 EMPTY SPACES (Open Roads)
The clear areas between zones
Where price can move freely with momentum
Like driving on an open highway - smooth, directional movement
The "Path of Least Resistance" for price movement
Trading Philosophy
AVOID Trading Within Zones:
Price action is typically choppy and unpredictable
Higher probability of false signals and whipsaws
Like trying to drive through mud - you'll get stuck
TRADE Through the Empty Spaces:
Look for moves that travel between zones
Price tends to move with momentum and direction
Higher probability setups with cleaner price action
Like taking the highway instead of back roads
Zone Types Detected
Fair Value Gaps (FVGs)
Imbalances from higher timeframe candles
Areas where price "owes" a return visit
Often act as magnets, creating choppy price action
Pivot Wick Zones
Upper and lower wicks from higher timeframe pivots
Rejection areas where price previously struggled
Often create resistance/support that leads to choppy movement
Color Coding System
The zones dynamically change color based on current price position:
🔴 RED ZONES : Price is below the zone (bearish context)
🟢 GREEN ZONES : Price is above the zone (bullish context)
🔘 GRAY ZONES : Price is within the zone (neutral/choppy area)
The "Mum Trades" Strategy
The best trades - what we call "Mum trades" (trades so obvious even your mum could spot them) - happen in the empty spaces between zones:
✅ High Probability Characteristics:
Clear directional movement between zones
Less noise and false signals
Higher momentum and follow-through
Cleaner technical patterns
❌ Avoid These Areas:
Trading within the muddy zones
Expecting clean moves through sticky areas
Fighting against the natural flow of price
Key Features
Auto Timeframe Detection : Automatically selects appropriate higher timeframe
Dynamic Zone Management : Overlapping zones are automatically cleaned up
Real-time Alerts : Get notified when price enters/exits zones
Visual Clarity : Clean zone display with extending boundaries
How to Use
Identify the Zones : Let the indicator mark the muddy areas
Find the Paths : Look for clear spaces between zones
Plan Your Trades : Target moves that travel through empty space
Avoid the Mud : Stay away from trading within the zones
Follow the Flow : Trade with the path of least resistance
Remember
Price, like water, always seeks the path of least resistance. By identifying where that path is clear (empty spaces) versus where it's obstructed (zones), you can align your trading with the natural flow of the market rather than fighting against it.
The goal is simple: Trade the highways, avoid the mud.
BAFD (Price Action For D.....s)🧠 Overview
This indicator combines multiple Moving Averages (MA) with visual price action elements such as Fair Value Gaps (FVGs) and Swing Points. It provides traders with real-time insight into trend direction, structural breaks, and potential entry zones based on institutional price behavior.
⚙️ Features
1. Multi MA Visualization (SMA & EMA)
- Plots short-, mid-, and long-term moving averages
- Fully customizable: MA type (SMA/EMA) and length per MA
- Dynamic color coding: green for bullish, red for bearish (based on close >/< MA)
2. Fair Value Gaps (FVG) Detection
Detects bullish and bearish imbalances using multiple logic types:
- Same Type: Last 3 candles move in the same direction
- Twin Close: Last 2 candles close in the same direction
- All: Shows all valid FVGs regardless of pattern
Gaps are marked with semi-transparent yellow boxes
Useful for identifying potential liquidity voids and retest zones
3. Swing Highs and Lows
- Automatically identifies major swing points
- Customizable sensitivity (strength setting)
Marked with subtle colored dots for structure identification or support/resistance mapping
📈 Use Cases
- Trend Identification: Visualize momentum on multiple timeframes
- Liquidity Mapping: Spot potential retracement zones using FVGs
- Confluence Building: Combine MA slope, FVG zones, and swing points for refined setups
🛠️ Customizable Settings
- Moving average type and length for each MA
- FVG logic selection and color
- Swing point strength
🔔 Note
This script does not generate buy/sell signals or alerts. It is designed as a visual decision-support tool for discretionary traders who rely on market structure, trend, and price action.
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
FVG (Nephew sam remake)Hello i am making my own FVG script inspired by Nephew Sam as his fvg code is not open source. My goal is to replicate his Script and then add in alerts and more functions. Thus, i spent few days trying to code. There is bugs such as lower time frame not showing higher time frame FVG.
This script automatically detects and visualizes Fair Value Gaps (FVGs) — imbalances between demand and supply — across multiple timeframes (15-minute, 1-hour, and 4-hour).
15m chart shows:
15m FVGs (green/red boxes)
1H FVGs (lime/maroon)
4H FVGs (faded green/red with borders) (Bugged For now i only see 1H appearing)
1H chart shows:
1H FVGs
4H FVGs
4H chart shows:
4H FVGs only
There is the function to auto close FVG when a future candle fully disrespected it.
You're welcome to:
🔧 Customize the appearance: adjust box colors, transparency, border style
🧪 Add alerts: e.g., when price enters or fills a gap
📅 Expand to Daily/Weekly: just copy the logic and plug in "D" or "W" as new layers
📈 Build confluence logic: combine this with order blocks, liquidity zones, or ICT concepts
🧠 Experiment with entry signals: e.g., candle confirmation on return to FVG
🚀 Improve performance: if you find a lighter way to track gaps, feel free to optimize!
RSI - SECUNDARIO - mauricioofsousaSecondary RSI – MGO
Reading the rhythm behind the price action
The Secondary RSI is a specialized oscillator developed as part of the MGO (Matriz Gráficos ON) methodology. It works as a refined strength filter, designed to complement traditional RSI readings by isolating the true internal rhythm of price action and reducing the influence of market noise.
While the standard RSI measures price momentum, the Secondary RSI focuses on identifying breaks in oscillatory balance—the moments when the market shifts from accumulation to distribution or from compression to expansion.
🎯 What the Secondary RSI highlights:
Internal imbalances in energy between buyers and sellers
Micro-divergences not visible on standard RSI
Areas of price fatigue or overextension that often precede reversals
Confirmation zones for MGO oscillatory events (RPA, RPB, RBA, RBB)
📊 Recommended use:
Combine with the Primary RSI for dual-layer validation
Use as a noise-reduction tool before entering trends
Ideal in medium timeframes (12H / 4H) where oscillatory patterns form clearly
🧠 How it works:
The Secondary RSI recalculates the momentum signal using a block-based interpretation (aligned with the MGO structure) instead of simply following raw candle data. It adapts to the periodic nature of price behavior and provides the trader with a more stable and reliable measure of true market strength.
Dskyz (DAFE) GENESIS Dskyz (DAFE) GENESIS: Adaptive Quant, Real Regime Power
Let’s be honest: Most published strategies on TradingView look nearly identical—copy-paste “open-source quant,” generic “adaptive” buzzwords, the same shallow explanations. I’ve even fallen into this trap with my own previously posted strategies. Not this time.
What Makes This Unique
GENESIS is not a black-box mashup or a pre-built template. It’s the culmination of DAFE’s own adaptive, multi-factor, regime-aware quant engine—built to outperform, survive, and visualize live edge in anything from NQ/MNQ to stocks and crypto.
True multi-factor core: Volume/price imbalances, trend shifts, volatility compression/expansion, and RSI all interlock for signal creation.
Adaptive regime logic: Trades only in healthy, actionable conditions—no “one-size-fits-all” signals.
Momentum normalization: Uses rolling, percentile-based fast/slow EMA differentials, ALWAYS normalized, ALWAYS relevant—no “is it working?” ambiguity.
Position sizing that adapts: Not fixed-lot, not naive—not a loophole for revenge trading.
No hidden DCA or pyramiding—what you see is what you trade.
Dashboard and visual system: Directly connected to internal logic. If it’s shown, it’s used—and nothing cosmetic is presented on your chart that isn’t quantifiable.
📊 Inputs and What They Mean (Read Carefully)
Maximum Raw Score: How many distinct factors can contribute to regime/trade confidence (default 4). If you extend the quant logic, increase this.
RSI Length / Min RSI for Shorts / Max RSI for Longs: Fine-tunes how “overbought/oversold” matters; increase the length for smoother swings, tighten floors/ceilings for more extreme signals.
⚡ Regime & Momentum Gates
Min Normed Momentum/Score (Conf): Raise to demand only the strongest trends—your filter to avoid algorithmic chop.
🕒 Volatility & Session
ATR Lookback, ATR Low/High Percentile: These control your system’s awareness of when the market is dead or ultra-volatile. All sizing and filter logic adapts in real time.
Trading Session (hours): Easy filter for when entries are allowed; default is regular trading hours—no surprise overnight fills.
📊 Sizing & Risk
Max Dollar Risk / Base-Max Contracts: All sizing is adaptive, based on live regime and volatility state—never static or “just 1 contract.” Control your max exposures and real $ risk. ATR will effect losses in high volatility times.
🔄 Exits & Scaling
Stop/Trail/Scale multipliers: You choose how dynamic/flexible risk controls and profit-taking need to be. ATR-based, so everything auto-adjusts to the current market mode.
Visuals That Actually Matter
Dashboard (Top Right): Shows only live, relevant stats: scoring, status, position size, win %, win streak, total wins—all from actual trade engine state (not “simulated”).
Watermark (Bottom Right): Momentum bar visual is always-on, regime-aware, reflecting live regime confidence and momentum normalization. If the bar is empty, you’re truly in no-momentum. If it glows lime, you’re riding the strongest possible edge.
*No cosmetics, no hidden code distractions.
Backtest Settings
Initial capital: $10,000
Commission: Conservative, realistic roundtrip cost:
15–20 per contract (including slippage per side) I set this to $25
Slippage: 3 ticks per trade
Symbol: CME_MINI:NQ1!
Timeframe: 1 min (but works on all timeframes)
Order size: Adaptive, 1–3 contracts
No pyramiding, no hidden DCA
Why these settings?
These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for NQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions.
Why It Wins
While others put out “AI-powered” strategies with little logic or soul, GENESIS is ruthlessly practical. It is built around what keeps traders alive:
- Context-aware signals, not just patterns
- Tight, transparent risk
- Inputs that adapt, not confuse
- Visuals that clarify, not distract
- Code that runs clean, efficient, and with minimal overfitting risk (try it on QQQ, AMD, SOL, etc. out of the box)
Disclaimer (for TradingView compliance):
Trading is risky. Futures, stocks, and crypto can result in significant losses. Do not trade with funds you cannot afford to lose. This is for educational and informational purposes only. Use in simulation/backtest mode before live trading. No past performance is indicative of future results. Always understand your risk and ownership of your trades.
This will not be my last—my goal is to keep raising the bar until DAFE is a brand or I’m forced to take this private.
Use with discipline, use with clarity, and always trade smarter.
— Dskyz , powered by DAFE Trading Systems.
UT Bot + Cooldown + Visual FVGSynopsis – UT Bot + Cooldown + Visual FVG
This TradingView script combines:
✅ UT Bot Reversal Signals
Based on ATR and volatility logic
BUY when trend flips from bearish to bullish
SELL when trend flips from bullish to bearish
✅ Cooldown Filter
Limits signals to 1 per X bars (default 30)
Prevents overtrading during choppy price action
✅ Optional FVG Markers (Fair Value Gaps)
Visually shows bullish or bearish imbalances (3-bar gaps)
Does not affect signal generation — only for confluence
🔍 Ideal for traders who want clean, time-filtered signals with visual price-action context. Suitable for futures, crypto, or forex on intraday charts.
