RIVA KELLER CCI and BB 1HCriei este indicador com a finalidade de ajudar iniciantes no mercado a encontrarem os ponto de entrada e exaustão.
Pontos de entrada irão aparecer no indicador como "COMPRAR'' ou ''VENDER'', com o histograma na cor verde ou vermelha.
Regiões de exaustão irão aparecer no histograma em amarelo(sobrecompra) e azul (sobrevenda).
Indicador pronto para ser utilizado no mercado Forex em tempo gráfico de 1H, take profit sugerido de 100pips e stop loss máximo de 250pips.
Recomendo analisar o gráfico com uma bollinger Bands de 20 períodos, com desvio de 2.0, sempre entrando quando o preço estiver dentro das bandas, com stop loss na banda superior se a operação for de venda e stop loss na banda inferior se a operação for de compra.
I created this indicator with the purpose of helping beginners in the market to find the entry and exhaustion points.
Entry points will appear on the indicator as "BUY '' or '' SELL '', with the histogram in green or red.
Exhaustion regions will appear in the histogram in yellow (overbought) and blue (oversold).
Indicator ready to be used in the Forex market in 1H chart time, suggested take profit of 100pips and maximum stop loss of 250pips.
I recommend analyzing the chart with a 20-period bollinger band, with a deviation of 2.0, always entering when the price is within the bands, with stop loss in the upper band if the operation is for sale and stop loss in the lower band if the operation is for purchase.
Cerca negli script per "histogram"
Bias And Sentiment Strength (BASS) Indicator by mattzabBias And Sentiment Strength (BASS) Indicator is designed to be a quick visualization as to the market strength.
Pair with Alligator, MACD, or Moving Average lines on your chart for good results.
How to use this indicator:
Blue above 0 is positive sentiment, red below 0 is negative sentiment.
If you have blue above and red below, be cautious! The Bass is telling you that we have a battle between the Bulls and the Bears!
The purple bars are your volume bias. Volume bias can be positive or negative, despite the direction of the overall trend. Positive Volume Bias along with Bullish Blue Sentiment is a great sign! Go Long! If you have Bullish Sentiment and have a negative Volume Bias, be cautious! Price may not be moving with much conviction, and may be subject to reversal!
This is basically several different histograms overlaying one another, and they are blue above 0 and red below 0.
MACD Histogram - Standard MACD Histogram here.
RSI Histogram - This is a standard RSI. It has been adjusted to "oscillate" above and below zero, which would be the 50 line on a normal RSI chart.
Slow Stochastic Histogram - This is a slow stochastic with a 21 Period K, 14 Period D, and 14 Smoothing K. The "oscillator" histogram is formed by subtracting K from D.
Awesome Oscillator - This is a standard Awesome Oscillator
Alligator Oscillator - This is formed by adding (lips + teeth) + (teeth - jaw)
Volume Bias - The Volume Bias is displayed as purple bars, and is calculated by a highly sophisticated and complex algorithmic function called subtraction. It's just the 30 Period Volume-Weighted Moving Average Minus the 30 Simple Moving Average.
Enjoy!
Anchored Momentum [LazyBear]Anchored Momentum (AMOM), by Rudy Stefenel, is a modified momentum indicator to capture the relative momentum. AMOM uses SMA as the reference for deriving momentum, thereby anchoring it to that MA rather than "value of close n bars back".
Mr.Stefenel suggests using this like other oscillators -- crossing signal line, crossing zero, divergences.
For alerts, use "Momentum", "Signal" and "ZeroLine" plots.
Configurable options:
- Momentum Period: Default is 10.
- Signal Period: Default is 8.
- Smooth Momentum: Default is FALSE. If TRUE, enables EMA(close) to be used rather than "close".
- Smoothing Period: Default is 7. If momentum smoothing is enabled, this period is used.
- Show Histogram: Default is FALSE. This is not histogram per se (indicator - signal), but is used for highlighting the crosses. Check out the histogram pane below to see an example.
- Enable Barcolors: Default is FALSE. If enabled, colors the price data (bars/candles) using histogram color.
More info:
Anchored Momentum, Stocks & Commodities V16:2 (89-98)
Complete list of all my indicators:
docs.google.com
GARCH Adaptive Volatility & Momentum Predictor
💡 I. Indicator Concept: GARCH Adaptive Volatility & Momentum Predictor
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The GARCH Adaptive Momentum Speed indicator provides a powerful, forward-looking
view on market risk and momentum. Unlike standard moving averages or static
volatility indicators (like ATR), GARCH forecasts the Conditional Volatility (σ_t)
for the next bar, based on the principle of volatility clustering.
The indicator consists of two essential components:
1. GARCH Volatility (Level): The primary forecast of the expected magnitude of
price movement (risk).
2. Vol. Speed (Momentum): The first derivative of the GARCH forecast, showing
whether market risk is accelerating or decelerating. This component is the
main visual signal, displayed as a dynamic histogram.
⚙️ II. Key Features and Adaptive Logic
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* Dynamic Coefficient Adaptation: The indicator automatically adjusts the GARCH
coefficients (α and β) based on the chart's timeframe (TF):
- Intraday TFs (M1-H4): Uses higher α and lower β for quicker reaction
to recent shocks.
- Daily/Weekly TFs (D, W): Uses lower α and higher β for a smoother,
more persistent long-term forecast.
* Momentum Visualization: The Vol. Speed component is plotted as a dynamic
histogram (fill) that automatically changes color based on the direction of
acceleration (Green for up, Red for down).
📊 III. Interpretation Guide
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- GARCH Volatility (Blue Line): The predicted level of market risk. Use this to
gauge overall position sizing and stop loss width.
- Vol. Speed (Green Histogram): Momentum is ACCELERATING (Risk is increasing rapidly).
A strong signal that momentum is building, often preceding a breakout.
- Vol. Speed (Red Histogram): Momentum is DECELERATING (Risk is contracting).
Indicates momentum is fading, often associated with market consolidation.
🎯 IV. Trading Application
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- Breakout Timing: Look for a strong, high GREEN histogram bar. This suggests
the volatility pressure is increasing rapidly, and a breakout may be imminent.
- Consolidation: Small, shrinking RED histogram bars signal that market energy
is draining, ideal for tight consolidation patterns.
Heikin Ashi + MACD Momentum FilterThe Heikin Ashi + MACD Momentum Filter is designed for short-term and swing traders, combining the trend-smoothing capabilities of manually calculated Heikin Ashi candles with the momentum confirmation of the MACD histogram to generate reliable buy and sell signals. This indicator aligns trend direction with momentum shifts to minimize false signals, making it ideal for trading trending markets on timeframes like 5-minute to 1-hour charts.
How It Works
The indicator uses two technical components to produce signals:
Heikin Ashi for Trend Detection:
Heikin Ashi candles are manually calculated to smooth price action, with the close as the average of OHLC values and the open as the average of the previous Heikin Ashi open and close. These values are further smoothed over a default 5-period moving average. A bullish trend is confirmed when the smoothed Heikin Ashi close is above its open (plotted in green), and a bearish trend when the close is below the open (plotted in red). This smoothing reduces noise, helping traders stay in the direction of the prevailing trend.
MACD Histogram for Momentum Confirmation:
The MACD, calculated with standard settings (fast=12, slow=26, signal=9), produces a histogram. A buy signal requires the histogram to cross above a threshold (default: 0.0), indicating bullish momentum, while a sell signal requires a cross below, indicating bearish momentum. This ensures trades are taken when momentum supports the trend.
Signal Generation
Signals are generated using the previous bar’s values to prevent repainting:
Buy Signal: The MACD histogram crosses above the threshold, and the Heikin Ashi confirms a bullish trend. Displayed as a green upward triangle below the bar.
Sell Signal: The MACD histogram crosses below the threshold, and the Heikin Ashi confirms a bearish trend. Displayed as a red downward triangle above the bar.
MACD -- Normalized█ OVERVIEW
This indicator is a normalized and scaled version of the Moving Average Convergence Divergence ( MACD ) indicator, inspired by the work in "Statistically Sound Indicators" by Timothy Masters. It enhances the traditional MACD by applying statistical normalization and scaling techniques, providing more consistent and reliable signals across different markets and timeframes.
█ CONCEPTS
The traditional MACD measures the difference between two Exponential Moving Averages ( EMAs ) of different lengths to identify momentum changes. However, its raw values are unbounded, making it challenging to compare across different instruments or timeframes.
This normalized MACD addresses this limitation by:
• Normalization : Adjusting the MACD values using the Average True Range ( ATR ) to account for market volatility.
• Scaling : Applying the Cumulative Distribution Function ( CDF ) to constrain the output between -50 and +50.
• Smoothing : Providing a smoothed signal line and histogram to effectively visualize momentum shifts.
█ FEATURES
• Normalized MACD Line : Computes the difference between the short-term and long-term EMAs, normalized by market volatility.
• Signal Line : Applies EMA smoothing to the normalized MACD line over a user-defined period.
• Histogram : Visualizes the difference between the normalized MACD line and the signal line, highlighting momentum changes.
• Customization Options :
• Adjustable lengths for the short-term EMA, long-term EMA, and signal line smoothing.
• Ability to toggle the visibility of the MACD line, signal line, and histogram.
• Statistical Scaling : Utilizes statistical methods from Timothy Masters' work to provide consistent scaling across different instruments.
█ HOW TO USE
1 — Identify Momentum Shifts :
• A crossover of the MACD line above the signal line may indicate a bullish momentum shift.
• A crossover of the MACD line below the signal line may indicate a bearish momentum shift.
2 — Analyze the Histogram :
• A rising histogram suggests strengthening momentum in the current trend direction.
• A falling histogram may signal weakening momentum or a potential reversal.
3 — Customize Parameters :
• Adjust the EMA lengths and smoothing periods to fit the specific instrument or timeframe.
• Use the visibility toggles to focus on the components most relevant to your analysis.
4 — Combine with Other Tools :
• Use in conjunction with support/resistance levels, trend lines, or other indicators to confirm signals.
• Consider the overall market context to enhance decision-making.
█ LIMITATIONS
• The indicator is based on historical price data; it may not predict future market movements accurately.
• May produce false signals during low volatility or ranging market conditions.
• Initial periods may display na values due to insufficient data for calculations.
█ NOTES
• Ensure that the MathHelpers library by HuntGatherTrade is imported for the indicator to function correctly.
• The default parameters are commonly used settings but may require adjustments based on the trading instrument and timeframe.
• The normalization and scaling techniques are designed to make the indicator's outputs more comparable across different markets.
Momentum Memory Indicator
The Momentum Memory Indicator (MMI) is a custom tool designed to predict future price movements based on the historical momentum of an asset. By calculating the Rate of Change (ROC) and then averaging it over a specified "memory" period, the MMI provides a prediction that reflects both recent and slightly older momentum data. The prediction is visualized as a histogram, with colors indicating the direction of the momentum.
**Parameters:**
1. **Rate of Change Period (ROC Period):** This parameter sets the period for the Rate of Change calculation, which measures the momentum of the asset. The default value is 14.
2. **Memory Period:** This parameter determines the period over which the average momentum is calculated. By considering momentum over this "memory" period, the indicator aims to provide a more stable and reliable prediction. The default value is 5.
**Logic:**
1. **Rate of Change (Momentum):** The ROC is calculated based on the asset's closing prices over the specified ROC period. It provides a measure of how much the price has changed over that period, indicating momentum.
2. **Average Momentum:** The average momentum is calculated by taking a simple moving average (SMA) of the ROC values over the memory period. This smoothens out the momentum data and provides a more stable value for prediction.
3. **Prediction:** The prediction is calculated by adjusting the current closing price based on the average momentum. This gives an estimate of where the price might be in the next period, assuming the momentum continues.
4. **Prediction Color:** The color of the prediction histogram is determined by the direction of the average momentum. A positive momentum results in a green histogram, while a negative momentum results in a red histogram.
**Plots:**
1. **Prediction (Histogram):** Represents the predicted price movement based on the average momentum. The direction and magnitude of the histogram bars provide insights into the expected price change. The color of the bars (green or red) indicates the direction of the momentum.
Dual-Supertrend with MACD - Strategy [presentTrading]## Introduction and How it is Different
The Dual-Supertrend with MACD strategy offers an amalgamation of two trend-following indicators (Supertrend 1 & 2) with a momentum oscillator (MACD). It aims to provide a cohesive and systematic approach to trading, eliminating the need for discretionary decision-making.
Key advantages over traditional single-indicator strategies:
- Dual Supertrend Validation: Utilizes two Supertrend indicators with different ATR periods and factors to confirm the trend direction. This double-check mechanism minimizes false signals.
- Momentum Confirmation: The MACD histogram acts as a momentum filter, confirming entries and exits, thus adding an extra layer of validation.
- Objective Entry and Exit: The strategy generates buy and sell signals based on a combination of trend direction and momentum, leaving no room for subjective interpretation.
- Automated Trade Management: The strategy includes built-in settings for commission, slippage, and initial capital, automating the trade execution process.
- Adaptability: The strategy allows for easy customization of all its parameters, adapting to a trader's specific needs and varying market conditions.
BTCUSD 8hr chart Long Condition
BTCUSD 6hr chart Long Short Condition
## Strategy, How it Works
The strategy operates on a set of clearly defined rules, primarily focusing on the trend direction confirmed by the Dual-Supertrend and the momentum as indicated by the MACD histogram.
### Entry Rules
- Long Entry: When both Supertrend indicators are bullish and the MACD histogram is above zero.
- Short Entry: When both Supertrend indicators are bearish and the MACD histogram is below zero.
### Exit Rules
- Exit long positions when either of the Supertrends turn bearish or the MACD histogram drops below zero.
- Exit short positions when either of the Supertrends turn bullish or the MACD histogram rises above zero.
### Trade Management
- The strategy uses a fixed commission rate and slippage in its calculations.
- Automated risk management features are integrated to avoid overexposure.
## Trade Direction
The strategy allows for trading in both bullish and bearish markets. Users can select their preferred trading direction ("long", "short", or "both") to align with their market outlook and trading objectives.
## Usage
- The strategy is best applied on timeframes where the trend is evident.
- Users can modify the ATR periods, factors for Supertrends, and MACD settings to suit their trading needs.
## Default Settings
- ATR Period for Supertrend 1: 10
- Factor for Supertrend 1: 3.0
- ATR Period for Supertrend 2: 20
- Factor for Supertrend 2: 5.0
- MACD Fast Length: 12
- MACD Slow Length: 26
- MACD Signal Smoothing: 9
- Commission: 0.1%
- Slippage: 1 point
- Trading Direction: Both
The strategy comes with these default settings to offer a balanced trading approach but can be customized according to individual trading preferences.
[CP]Pivot Boss Multi Timeframe CPR Inception with MACD and EMAINTRODUCTION:
This indicator combines multi-timeframe CPR bands with MACD Momentum and EMA trend, all projected on the candlestick chart through a novel visualization.
If you have seen my other indicators on TradingView, you would know that I use floor pivots a lot and “Secrets of a Pivot Boss” is my favorite book. While using floor pivots, time and again I have noticed an interesting price behavior,
Trending moves in price typically start from around the Central Pivot Range (CPR). The CPR could be from ANY timeframe. These moves can easily be caught using simple momentum and trend indicators like MACD and EMA crossovers.
Yes, it is that simple. Follow along to understand how to use this indicator.
INDICATOR SETTINGS:
RANGEBOUND MACD AND EMA MARKINGS:
TradingView limits the max number of labels that can be shown on a chart to 500. Therefore, if you go far back enough, you won't see any markings for the MACD or EMA setups. If you are looking to test the efficacy of this indicator in the past, change the start and end dates to your desired timeframe and then select the ‘Mark MACD and EMA Setups in Range?’ option.
MULTI TIMEFRAME CENTRAL PIVOT RANGE:
Here you can select CPRs and their bands from which timeframes are shown on the chart. I will share my favorite settings later in this description.
CPR CONFIGURATION:
Show CPR Labels: CPRs markings can carry labels, so that you don’t confuse between which line is what. Use this setting to toggle them On/Off.
Show Next Time Period Pivots: Check this option if you want to see the CPR of the next time period. This is typically done to figure out the ’Two Day CPR Relationship’ . Read the book, “Secrets of a Pivot Boss”, to understand more.
EMA TREND:
Show EMA on the Chart: EMAs will be plotted on the chart. Standard stuff.
Mark EMA Crossovers on Chart: EMA crossovers will be marked on the chart in diamond shapes. If you are using EMA crossovers, I recommend setting this option to True.
Rest of the EMA settings are fairly obvious.
MACD MOMENTUM:
Projecting MACD parameters directly on the candlesticks is surely going to give you a new perspective about price action and MACD.
Also, in order to better understand the MACD projections on the chart, you can add a standard MACD indicator on the chart with default settings to figure out what my indicator is actually showing you.
Marking MACD Crossovers on Chart: Marks the MACD signal crossovers on the chart. This visualization was a game changer for me.
Show MACD Histogram on Chart: Projects the complete MACD Histogram in a novel fashion (Try it!). You will be able to visually see the ebbs and flow of momentum in the charts.
Mark MACD Histogram Peaks on Chart: Marks only the MACD peaks instead of the complete histogram. Peaks are a great way to enter an ongoing trend and to play an intraday rangebound market.
Rest of the settings are just the standard settings that you will find in a typical MACD indicator.
ALERTS:
Not shown in the settings panel, but I have added alerts for EMA and MACD Crossovers so that you don’t have to sit in front of the charts or constantly check the price all day long.
If you don’t know how to set alerts in TradingView, then please Google it.
INDICATOR USAGE EXAMPLES:
This indicator can be used in intraday as well as in higher timeframes.
There are quite a few variations possible, I personally prefer to use the EMA crossovers in intraday (5m) and MACD on Daily timeframes.
This is just a matter of personal preference, some people might prefer using EMAs only or MACD only in all timeframes.
Here are my personal settings for the intraday 5-minute timeframe:
Turn on all the CPR pivots starting from Yearly all the way to Daily. You can turn on 6 hourly and 4 hourly as well if you want.
Hourly CPR is mostly used when the price is in a strong trend and you missed the entry and don’t know when to enter. Price will typically experience pullbacks towards the Hourly CPR, before resuming in the direction of the trend. That is your chance to hop onto the bandwagon.
For Intraday, I keep the Bands off. Just a personal preference here.
You can turn ON the Show CPR Labels , if you want.
Turn ON both the options in the EMA TREND section. You would want to see the EMA crossovers marked on the chart as well as the EMAs themselves, as the distance between the two EMAs will give you an idea about the strength of the trend.
Keep rest of the settings in the EMA section as default (you can change the colors if you wish). I keep the same EMAs as the ones kept in the MACD indicator. I like to keep things simple.
In the MACD MOMENTUM section, turn ON Mark MACD Histogram Peaks on Chart and all the other options turned OFF. Leave the other settings as default. By the way, these are the default settings of the standard MACD Indicator.
You can set up EMA Bullcross and Bearcross alarms if you like.
Before checking out the examples, remember one super simple rule:
SOME OF THE BEST TRENDING MOVES IN THE MARKET, BE IT INTRADAY OR OTHERWISE, ORIGINATE IN THE VICINITY OF A LARGER TIMEFRAME PIVOT/CPR.
Look for price settling above/below a pivot, and then a move away from the pivot in any direction is typically a trending move.
You can use hourly pivots or MACD Histogram peaks marked on the chart to enter an existing trend, or add to your positions.
Let’s have a look at a few recent intraday examples from the Crypto, Indian, and US equity markets.
I have added my comments in the charts to make you easily understand what is going on.
Understand that both, moving average crossover and MACD, will give out a lot of signals (chop) every day. But almost 70% of them are going to be fake signals. It is the signals that you get when the price is near a Pivot, that tend to convert into gorgeous trending moves that last.
BTC 5m Charts
NIFTY Futures 5m Charts (good intraday trends are hard to find here, as the market is very efficient)
TSLA 5m Charts
Some important points for using this indicator in higher timeframes:
For higher timeframes, my personal preference is to go with the MACD indicator. I personally find MACD to be lethal on daily and weekly timeframes, if you know how to use it well.
The default settings of the indicator are the settings I use for both, Daily and Weekly, timeframes. Additionally, I turn off the CPR labels.
In theory large trending moves still have a big probability to start near an important pivot level, however, in larger timeframes, trending moves can start from anywhere. They need not start in the vicinity of any important pivot (but they often do!).
Weekly pivots can act as great pullback levels when the price is in strong momentum, when trading on the daily timeframe.
Quarterly Pivots act as great pullback levels when the price is in strong momentum, when trading on the weekly timeframe.
BTC Weekly Chart
BTC Daily Chart
Nifty Weekly Chart
Nifty Daily Chart
NASDAQ Weekly Chart
NASDAQ Daily Chart
FINAL WORDS:
Please understand that I have Cherry Picked the examples to showcase the capability of the indicator and its usage.
DO NOT conflate the accuracy of examples with the accuracy of this indicator.
Biggest catch is the fact that this indicator, like every other indicator out there, will have whipsaws. Some I have also marked in the example charts.
You need to come up with your own technique to avoid whipsaws, one technique I have shared here…… big moves typically start near pivots.
Work on avoiding whipsaws and finding you own edge in the markets.
If you really want to learn how to use Pivots, read the book ’Secrets of a Pivot Boss’ . This book can change your life.
SuperTrend Oscillator [LuxAlgo]This oscillator is made of three components, all derived from the SuperTrend indicator. This approach allows the user to easily determine overbought/sold zones, identify whether a retracement is present or if the price is ranging or trending. It also allows for the anticipation of the potential price cross with the SuperTrend.
We provide additional information including whether a signal returned by the SuperTrend was false, as well as the percentage of false signals.
Settings
Length: Period of the "average true range" used in the calculation of the SuperTrend
Mult: Multiplicative factor for the "average true range"
Smooth: Determines the degree of smoothing of the histogram
Misc:
Fixed Transparency: Use a fixed transparency for the main oscillator
Show Lines: Show the lines displayed by the indicator
Show Labels: Show the labels displayed by the indicator
Usage
The indicator is in a range of (-100,100) with values closer to 100/-100 indicating a stronger trend. The main oscillator value above 0 indicates that the price is above the SuperTrend.
It is possible to identify when a retracement is present in a trend. This is often indicated by an oscillator value moving within 50/-50.
Each overbought/oversold level can be used to determine potential exit points.
The indicator also includes two additional oscillators derived from the main oscillator. A smoothed version of the main oscillator (Signal), and a smoothed version of the difference between the Main and Signal oscillators (Histogram), thus making the oscillator part of the indicator more similar to MACD.
One can use the histogram to anticipate when the price might cross the SuperTrend by comparing the sign between the main and histogram. Potential false signals can also be filtered with this method.
Certain crosses between the price and SuperTrend can be filtered out when the histogram and main oscillator have a different sign (here main = 1, histogram = -1).
We include various indications in order to analyze the signals returned by the SuperTrend. The indicator displays symbols indicating whether a signal was false or not.
A cross symbol will be displayed at the top of the displayed lines when the previous Buy signal was false, else a checkmark is displayed. Symbols displayed at the bottom of the lines are referring to sell signals. We also provide a percentage of false signals, calculated over the entire chart history.
Details
The scaling method used is similar to max-min normalization. We first compute the difference between the price and SuperTrend and divide the result by the difference between the upper and lower extremity used to compute the SuperTrend. Values higher than (1,-1) can occur when price crosses the SuperTrend and as such we use the max and min functions to attenuate these.
The filter used to compute the signal line is based on exponential averaging and is fully adaptive. The smoothing factor used for its computation is the squared value of the main oscillator, divided by length . Since higher values of the oscillator are associated with trending markets, the filter will be closer to the main oscillator when the market is ranging.
AI Reversal Signals Custom [wjdtks255]📊 Indicator Overview: AI Reversal Signals Custom
This indicator is a comprehensive trend-following and reversal detection tool. It combines the long-term trend bias of a 200 EMA with highly sensitive RSI-based reversal signals and momentum visualization. It is designed to capture market bottoms and tops by identifying exhaustion points in price action.
Key Features
200 EMA (Trend Filter): A gold line representing the long-term institutional trend. It helps traders distinguish between "buying the dip" and "catching a falling knife."
Reversal Buy/Sell Labels: Real-time signals that appear when the market recovers from extreme overbought or oversold conditions.
Dynamic Background Clouds: Visual indicators of trend strength changes, highlighting potential entry zones.
Momentum Histogram: Internal calculations mimic the "Bottom Bars" seen in professional suites to track the velocity of price movement.
📈 Trading Strategy (How to Trade)
1. High-Probability Long Setup (Buy)
Trend Confirmation: Price should ideally be trading above the 200 EMA for the highest success rate.
Signal: Wait for the "BUY" label to appear below the candle.
Momentum: Confirm with the Light Green background or histogram shift indicating recovery.
Entry: Enter on the close of the signal candle.
2. High-Probability Short Setup (Sell)
Trend Confirmation: Price should ideally be trading below the 200 EMA.
Signal: Wait for the "SELL" label to appear above the candle.
Momentum: Confirm with the Red background or histogram fading from green to red.
Entry: Enter on the close of the signal candle.
3. Risk Management
Stop Loss: Place your Stop Loss slightly below the recent swing low for Buy orders, or above the recent swing high for Sell orders.
Take Profit: Exit when the price reaches a major support/resistance level or when an opposing signal appears.
💡 Professional Tip
For the best results, use this indicator on the 15-minute or 1-hour timeframes. The most powerful "Ultimate Reversal" signals occur when there is a Bullish Divergence (Price making lower lows while the RSI makes higher lows) followed by a confirmed "BUY" label.
MACD + Divergence Indicator [Dynamic Filter]Title: MACD + Divergence
Description: This is an enhanced momentum analysis suite based on the classic Moving Average Convergence Divergence (MACD). It addresses the common weakness of the standard MACD—false signals during low-volatility consolidation—by integrating a Dynamic Volatility Filter and a Multi-Timeframe (MTF) Dashboard.
The Problem It Solves: Standard MACD indicators often generate "whipsaw" crossovers when the market is ranging (moving sideways). Traders often struggle to identify these consolidation zones until it is too late. This script solves this by calculating a dynamic "Consolidation Zone" based on Standard Deviation, visually warning traders when momentum is too weak to be reliable.
Key Features:
1. Dynamic Consolidation Filter (The Grey Zone)
The script calculates Upper and Lower bands around the MACD line using Standard Deviation (Volatility).
Grey Fill: When the MACD line is inside the grey bands, the market is in a "Squeeze" or low-volatility consolidation. Crossovers in this zone are often lower probability.
Breakout: When the MACD line exits the bands, it indicates a volatility expansion and a potentially stronger trend.
2. Automated Divergence Detection
Automatically scans for both Regular (Reversal) and Hidden (Continuation) divergences between Price and Momentum.
Bullish: Marked with Green lines/labels.
Bearish: Marked with Red lines/labels.
Customization: You can choose to calculate divergence based on the MACD Line or the Histogram via settings.
3. Multi-Timeframe (MTF) Dashboard
A customizable information table (optional) displays the MACD state across 4 different timeframes (e.g., 15m, 1H, 4H, Daily).
It checks for Trend Alignment (e.g., are all timeframes Bullish?) to help you trade in the direction of the higher timeframes.
4. Enhanced Visuals
4-Color Histogram: Visualizes momentum growing (bright) vs. momentum fading (pale) for both bullish and bearish phases.
Line Highlights: The MACD and Signal lines are clearly distinct, with configurable smoothing options (EMA/SMA).
Settings Guide:
Consolidation Filter: Increase the Dynamic Filter Multiplier (Default: 0.5) to widen the grey zone if you want to filter out more noise.
Oscillator Source: Switch between "MACD Line" or "Histogram" for divergence detection depending on your strategy.
Table: You can toggle the dashboard on/off or change its position to fit your chart layout.
Credits: Base MACD logic derived from standard technical analysis concepts. Dynamic filtering logic adapted from volatility band theories.
USD Liquidity Regime for BTC Perps (Dual) V1USD Liquidity Regime for BTC Perps (Dual)
This intents to be a BTC Perps USD Liquidity Regime macro indicator.
As it names states it is designed for BTCUSDT perpetual futures traders.
It attempts to tracks USD strength (DXY, UUP, yields, VIX composite) as liquidity proxy:
Lower index = weak USD = Risk-On (green background/histogram = long tailwind for BTC).
Higher = strong USD = Risk-Off (red = caution longs, shorts favor).
How to use:
Green background/histogram: Favor longs — rallies likely, dips bought.
Red: Caution longs — corrections hurt, short bias possible.
Blue line (index) vs red SMA: Crosses signal regime shifts.
Histogram strength: Bigger bars = stronger bias.
This is not intended as financial advise or trigger signal tool.
This is a work in progress
Its value is limited, if you do not understand any or some of the words above please do not use this indicator. If you did, then you understand you are not supposed to use this alone to make decisions.
Feel free to ask any questions, this is a work in progress.
Feel free to suggest improvements.
Educational macro context tool — not signals/advice.
Ok for avoiding going against the USD trend dominance by following liquidity.
By @frank_vergaram
Altcoin Relative Macro StrengthAltcoin Relative Macro Strength
Overview
The Altcoin Relative Macro Strength indicator measures the altcoin market's price performance relative to global macroeconomic conditions. By comparing TOTAL3ES (total altcoin market capitalization excluding Bitcoin, Ethereum and stable coins) against a composite macro trend, the indicator identifies periods of relative overvaluation and undervaluation.
Methodology
Global Macro Trend Calculation:
The macro trend synthesizes three primary components:
- ISM PMI – A proxy for the business cycle phase
- Global Liquidity – An aggregate measure of major central bank balance sheets and broad money supply
- IWM (Russell 2000) – Small-cap equity exposure, reflecting risk-on/risk-off market sentiment
Global Liquidity is calculated as:
Fed Balance Sheet - Reverse Repo - Treasury General Account + U.S. M2 + China M2
The final Global Macro Trend is:
ISM PMI × Global Liquidity × IWM
Theoretical Framework:
The global macro trend integrates liquidity expansion/contraction with business cycle dynamics and small-cap equity performance. The inclusion of IWM reflects altcoins' tendency to behave as high-beta risk assets, exhibiting sensitivity similar to small-cap equities. This composite exhibits strong directional correlation with altcoin market movements, capturing the risk-on/risk-off dynamics that drive altcoin performance.
Interpretation
Primary Signal:
The histogram displays the rolling percentage change of TOTAL3ES relative to the global macro trend (default: 21-period average). Positive divergence indicates altcoins are outperforming macro conditions; negative divergence suggests underperformance relative to the underlying economic and risk environment.
Data Tables:
Alts/Macro Change – Percentage deviation of the altcoin market's average value from the Global Macro Trend's average over the specified period
Macro Trend – Directional assessment of the macro trend based on slope and trend agreement:
🔵 BULLISH ▲ – Positive slope with upward trend
⚪ NEUTRAL → – Slope and trend direction disagree
🟣 BEARISH ▼ – Negative slope with downward trend
Macro Slope – Percentage rate of change in the global macro trend
Altcoin Valuation – Relative valuation category based on TOTAL3/Macro deviation:
🟢 Extreme Discount / Deep Discount / Discount
🟡 Fair Value
🔴 Premium / Large Premium / Extreme Premium
TOTAL3ES Mcap – Current total altcoin market capitalization (in billions)
Visual Components:
📊 Histogram: Alts/Macro Change
🟢 Green = Positive deviation (altcoins outperforming)
🔴 Red = Negative deviation (altcoins underperforming)
📈 Macro Slope Line
Color-coded to match trend assessment
Scaled for visibility (adjustable in settings)
Application
This indicator is designed to identify mean reversion opportunities by highlighting periods when the altcoin market materially diverges from fundamental macro and risk conditions. Extreme positive values may indicate overvaluation; extreme negative values may signal undervaluation relative to the prevailing economic and risk appetite backdrop.
Strategy Considerations:
- Identify extremes: Look for periods when the histogram reaches elevated positive or negative levels
- Assess valuation: Use the Altcoin Valuation reading to gauge relative over/undervaluation
Confirm with risk sentiment: Check whether macro conditions and risk appetite support or contradict current price levels
- Mean reversion: Consider that significant deviations from trend historically tend to revert
Note: This indicator identifies relative valuation based on macro conditions and risk sentiment—it does not predict price direction or timing.
Settings
Lookback Period – 21 bars (default) – Number of bars for calculating rolling averages
Macro Slope Scale – 3.0 (default) – Multiplier for macro slope line visibility
Luminous Glide Momentum Indicator [wjdtks255]This indicator, named "Customized SuperSmoother MA Oscillator," applies a smoothing filter to price data using a SuperSmoother technique to reduce noise and enhance signal clarity. It calculates two moving averages on the smoothed data—a fast and a slow—whose difference forms the oscillator line. A signal line is derived by smoothing the oscillator with another moving average. The histogram visualizes the divergence between the oscillator and signal lines, indicating momentum strength and direction.
How it works
SuperSmoother Filter: Reduces price noise to provide smoother and more reliable signals than raw data.
Fast and Slow Moving Averages: The fast MA reacts quicker to price changes, while the slow MA indicates longer trends.
Oscillator: The difference between the fast and slow MAs signals shifts in momentum.
Signal Line: A smoothed version of the oscillator used to generate crossovers.
Histogram: Displays the distance between the oscillator and signal line, with color changes indicating bullish or bearish momentum.
Trading Strategy
Buy Signal: When the oscillator crosses above the signal line, it suggests increasing upward momentum, signaling a potential buy opportunity.
Sell Signal: When the oscillator crosses below the signal line, it suggests increasing downward momentum, signaling a potential sell opportunity.
Histogram Size and Color: Larger green bars indicate stronger bullish momentum; larger red bars indicate stronger bearish momentum.
Usage Tips
Combine this oscillator with other indicators or price action analysis to confirm trading signals.
Adjust smoothing and moving average lengths according to your trading timeframe and the asset volatility.
Use proper risk management to filter out potential false signals common in oscillators.
PulseRPO Zero-Lag BandsPulseRPO is a momentum and volatility timing suite built on a zero-lag Relative Price Oscillator. It pairs an RPO (fast vs slow MA spread, in %) with adaptive volatility envelopes that tighten or widen as conditions change, so you can spot true momentum bursts, exhaustion and “quiet-before-the-move” squeezes—without the usual MA lag.
What it shows
Zero-Lag RPO: Choose EMA, SMA, WMA, RMA, HMA or ZLEMA for the base, then apply ZLEMA/DEMA/TEMA/HMA zero-lag smoothing to cut delay.
Adaptive Bands: StdDev, ATR, Range or Hybrid volatility; bands auto-tighten in high vol and widen in quiet regimes.
Dynamic OB/OS: Levels scale with current regime so extremes mean something even as volatility shifts.
Signal & Histogram: Classic signal cross plus histogram for quick read of acceleration vs deceleration.
Squeeze Paint: Subtle background highlight when band width compresses below its average.
Divergences & Triggers: Optional bullish/bearish divergence tags, plus band-cross and signal-cross alerts out of the box.
How to use it (general guide)
Momentum entries: Look for RPO crossing up its signal from below or snapping out of a squeeze; extra weight if it also re-enters from below the lower band.
Trend continuation: RPO riding outside the upper (or lower) band with rising histogram = power move; trail risk on pullbacks to the signal line.
Exhaustion / fades: Taps beyond dynamic OB/OS or band re-entries can mark mean-revert windows—confirm with price/volume.
Risk filter: During squeeze, size down and prepare for expansion; after expansion, respect extremes.
Tweak the MA type, band method and zero-lag strength to match your timeframe. PulseRPO is designed to be a self-contained read: regime → setup → trigger → alert.
QUANTUM MOMENTUMOverview
Quantum Momentum is a sophisticated technical analysis tool designed to help traders identify relative strength between assets through advanced momentum comparison. This cyberpunk-themed indicator visualizes momentum dynamics between your current trading symbol and any comparison asset of your choice, making it ideal for pairs trading, crypto correlation analysis, and multi-asset portfolio management.
Key Features
📊 Multi-Asset Momentum Comparison
Dual Symbol Analysis: Compare momentum between your chart symbol and any other tradable asset
Real-Time Tracking: Monitor relative momentum strength as market conditions evolve
Difference Visualization: Clear histogram display showing which asset has stronger momentum
🎯 Multiple Momentum Calculation Methods
Choose from four different momentum calculation types:
ROC (Rate of Change): Traditional percentage-based momentum measurement
RSI (Relative Strength Index): Oscillator-based momentum from 0-100 range
Percent Change: Simple percentage change over the lookback period
Raw Change: Absolute price change in native currency units
📈 Advanced Trend Filtering System
Enable optional trend filters to align momentum signals with prevailing market direction:
SMA (Simple Moving Average): Classic trend identification
EMA (Exponential Moving Average): Responsive trend detection
Price Action: Identifies trends through higher highs/lows or lower highs/lows patterns
ADX (Average Directional Index): Measures trend strength with customizable threshold
🎨 Futuristic Cyberpunk Design
Neon Color Scheme: Eye-catching cyan, magenta, and matrix green color palette
Glowing Visual Effects: Enhanced visibility with luminescent plot lines
Dynamic Background Shading: Subtle trend state visualization
Real-Time Data Table: Sleek information panel displaying current momentum values and trend status
How It Works
The indicator calculates momentum for both your current chart symbol and a comparison symbol (default: BTC/USDT) using your selected method and lookback period. The difference between these momentum values reveals which asset is exhibiting stronger momentum at any given time.
Positive Difference (Green): Your chart symbol has stronger momentum than the comparison asset
Negative Difference (Pink/Red): The comparison asset has stronger momentum than your chart symbol
When the trend filter is enabled, the indicator will only display signals that align with the detected market trend, helping filter out counter-trend noise.
Settings Guide
Symbol Settings
Compare Symbol: Choose any tradable asset to compare against (e.g., major indices, cryptocurrencies, forex pairs)
Momentum Settings
Momentum Length: Lookback period for momentum calculations (default: 14 bars)
Momentum Type: Select your preferred momentum calculation method
Display Options
Toggle visibility of current symbol momentum line
Toggle visibility of comparison symbol momentum line
Toggle visibility of momentum difference histogram
Optional zero line reference
Trend Filter Settings
Use Trend Filter: Enable/disable trend-based signal filtering
Trend Method: Choose from SMA, EMA, Price Action, or ADX
Trend Length: Period for trend calculations (default: 50)
ADX Threshold: Minimum ADX value to confirm trend strength (default: 25)
Best Use Cases
✅ Pairs Trading: Identify divergences in momentum between correlated assets
✅ Crypto Market Analysis: Compare altcoin momentum against Bitcoin or Ethereum
✅ Stock Market Rotation: Track sector or index relative strength
✅ Forex Strength Analysis: Monitor currency pair momentum relationships
✅ Multi-Timeframe Confirmation: Use alongside other indicators for confluence
✅ Mean Reversion Strategies: Spot extreme momentum divergences for potential reversals
Visual Indicators
⚡ Cyan Line: Your chart symbol's momentum
⚡ Magenta Line: Comparison symbol's momentum
📊 Green/Pink Histogram: Momentum difference (positive = green, negative = pink)
▲ Green Triangle: Bullish trend detected (when filter enabled)
▼ Red Triangle: Bearish trend detected (when filter enabled)
◈ Yellow Diamond: Neutral/sideways trend (when filter enabled)
Pro Tips
💡 Look for crossovers between the momentum lines as potential trade signals
💡 Combine with volume analysis for stronger confirmation
💡 Use momentum divergence (price making new highs/lows while momentum doesn't) for reversal signals
💡 Enable trend filter during ranging markets to reduce false signals
💡 Experiment with different momentum types to find what works best for your trading style
Technical Requirements
TradingView Pine Script Version: v6
Chart Type: Works on all chart types
Indicator Placement: Separate pane (overlay=false)
Data Requirements: Needs access to comparison symbol data
Algorithmic Value Oscillator [CRYPTIK1]Algorithmic Value Oscillator
Introduction: What is the AVO? Welcome to the Algorithmic Value Oscillator (AVO), a powerful, modern momentum indicator that reframes the classic "overbought" and "oversold" concept. Instead of relying on a fixed lookback period like a standard RSI, the AVO measures the current price relative to a significant, higher-timeframe Value Zone .
This gives you a more contextual and structural understanding of price. The core question it answers is not just "Is the price moving up or down quickly?" but rather, " Where is the current price in relation to its recently established area of value? "
This allows traders to identify true "premium" (overbought) and "discount" (oversold) levels with greater accuracy, all presented with a clean, futuristic aesthetic designed for the modern trader.
The Core Concept: Price vs. Value The market is constantly trying to find equilibrium. The AVO is built on the principle that the high and low of a significant prior period (like the previous day or week) create a powerful area of perceived value.
The Value Zone: The range between the high and low of the selected higher timeframe.
Premium Territory (Distribution Zone): When the oscillator moves into the glowing pink/purple zone above +100, it is trading at a premium.
Discount Territory (Accumulation Zone): When the oscillator moves into the glowing teal/blue zone below -100, it is trading at a discount.
Key Features
1. Glowing Gradient Oscillator: The main oscillator line is a dynamic visual guide to momentum.
The line changes color smoothly from light blue to neon teal as bullish momentum increases.
It shifts from hot pink to bright purple as bearish momentum increases.
Multiple transparent layers create a professional "glow" effect, making the trend easy to see at a glance.
2. Dynamic Volatility Histogram: This histogram at the bottom of the indicator is a custom volatility meter. It has been engineered to be adaptive, ensuring that the visual differences between high and low volatility are always clear and dramatic, no matter your zoom level. It uses a multi-color gradient to visualize the intensity of market volatility.
3. Volatility Regime Dashboard: This simple on-screen table analyzes the histogram and provides a clear, one-word summary of the current market state: Compressing, Stable, or Expanding.
How to Use the AVO: Trading Strategies
1. Reversion Trading This is the most direct way to use the indicator.
Look for Buys: When the AVO line drops into the teal "Accumulation Zone" (below -100), the price is trading at a discount. Watch for the oscillator to form a bottom and start turning up as a signal that buying pressure is returning.
Look for Sells: When the AVO line moves into the pink "Distribution Zone" (above +100), the price is trading at a premium. Watch for the oscillator to form a peak and start turning down as a signal that selling pressure is increasing.
2. Best Practices & Settings
Timeframe Synergy: The AVO is most effective when your chart timeframe is lower than your selected "Value Zone Source." For example, if you trade on the 1-hour chart, set your Value Zone to "Previous Day."
Confirmation is Key: This indicator provides powerful context, but it should not be used in isolation. Always combine its readings with your primary analysis, such as market structure and support/resistance levels.
Artharjan ADXArtharjan ADX (AADX) by Rrahul Desai @Artharjan
📌 Overview
The Artharjan ADX (AADX) is an advanced implementation of the Average Directional Index (ADX) with customizable moving averages, momentum thresholds, and visually intuitive grading of bullish and bearish strength.
Unlike the standard ADX indicator that only shows trend strength, AADX adds graded bullish/bearish conditions, alerts, smoothed DI signals, histogram visualizations, and background color fills to help traders quickly interpret market conditions.
It is designed for traders who want early detection of trend strength, clean visual cues, and automated alert triggers for both bullish and bearish momentum setups.
⚙️ Key Features
🔹 Customizable Calculations
DI Length (default 13) – controls sensitivity of directional indicators.
+/- DI Smoothing – smooths DI signals with user-selected MA.
Multiple Moving Average Types – SMA, EMA, WMA, RMA, VWMA, ALMA, Hull, SWMA, SMMA, TMA.
ADX Smoothing – define how smooth/fast the ADX reacts.
🔹 Flexible Display
Toggle between line plots or histogram view.
Adjustable plot thickness.
Option to plot averages of ADX, +DI, -DI for confirmation.
Configurable background fills:
ADX above/below momentum threshold.
ADX rising/falling color shading.
Trend-grade based color intensity.
🔹 Momentum & Thresholds
Momentum Level (default 25) → defines “strong trend” zone.
Crossover Threshold (default 15) → helps detect early DI crossovers.
Color-coded histogram bars for +DI vs -DI difference:
Above/below zero.
Rising/falling momentum.
🔹 Bullish & Bearish Grading System
The indicator assigns grades from 1 to 5 for both bullish and bearish setups, based on DI and ADX conditions:
Bullish Grades
Grade 1 → Very Weak Bullish
Grade 2 → Weak Bullish
Grade 3 → Moderate Bullish
Grade 4 → Strong Bullish
Grade 5 → Very Strong Bullish
Bearish Grades
Grade 1 → Very Weak Bearish
Grade 2 → Weak Bearish
Grade 3 → Moderate Bearish
Grade 4 → Strong Bearish
Grade 5 → Very Strong Bearish
Labels are automatically plotted above bars to indicate the active grade.
🔹 Alerts
Bullish Alert → when +DI crosses above its average below the threshold OR bullish conditions are met.
Bearish Alert → when -DI crosses above its average below the threshold OR bearish conditions are met.
These alerts make it possible to automate trading signals for scalping, intraday, and swing trading.
📊 Use Cases
Trend Strength Measurement
Spot when markets shift from range-bound to trending.
Confirm the reliability of breakouts with strong ADX readings.
Bullish vs Bearish Control
Compare +DI vs -DI strength to gauge trend direction.
Identify trend reversals early with DI slope changes.
Momentum Confirmation
Use ADX rising + DI grades to validate trade entries.
Filter false breakouts with weak ADX.
Trade Grading System
Enter aggressively on Grade 4–5 signals.
Stay cautious on Grade 1–2 signals.
Automated Alerts & Screening
Combine AADX alerts with strategy rules.
Build scanners to highlight strong ADX setups across multiple stocks.
🎯 Trader’s Advantage
More powerful than standard ADX → Adds slope, grading, alerts, and visualization.
Adaptable to any style → Works for intraday scalping, swing trading, and positional analysis.
Visual clarity → Color fills, histograms, and labels simplify decision-making.
Customizable smoothing → Adjusts to fast or slow markets.
✅ Closing Note
The Artharjan ADX (AADX) transforms the traditional ADX into a complete trend and momentum analyzer. It helps traders detect, confirm, and act on directional strength with clarity and confidence.
With Thanks,
Rrahul Desai
@Artharjan
SmartMind2The MACD (Moving Average Convergence Divergence) is a popular technical indicator in trading, primarily used to detect trends and possible reversal points.
How is the MACD structured?
The MACD indicator consists of three components:
MACD Line:
Calculated as the difference between two exponential moving averages (EMAs), commonly 12 and 26 periods.
Formula:
MACD Line
=
𝐸
𝑀
𝐴
12
(
Price
)
−
𝐸
𝑀
𝐴
26
(
Price
)
MACD Line=EMA
12
(Price)−EMA
26
(Price)
Signal Line:
An exponential moving average (usually 9 periods) of the MACD line.
Formula:
Signal Line
=
𝐸
𝑀
𝐴
9
(
MACD Line
)
Signal Line=EMA
9
(MACD Line)
Histogram:
Graphically represents the difference between the MACD line and the Signal line.
Formula:
Histogram
=
MACD Line
−
Signal Line
Histogram=MACD Line−Signal Line
Interpretation of MACD:
Buy Signal: Occurs when the MACD line crosses above the signal line (bullish signal).
Sell Signal: Occurs when the MACD line crosses below the signal line (bearish signal).
Trend Reversal: A divergence between price movements and the MACD indicates a potential reversal (e.g., rising prices with a falling MACD).
Price over VolumeVersion 0.1
Price over Volume Indicator
Description
The Price over Volume indicator calculates the ratio of the closing price to the trading volume (price / volume) for the current chart's symbol and displays it as a histogram in a separate pane. A horizontal zero line is included as a reference to highlight positive and negative values or periods of undefined data (e.g., zero volume). The indicator is designed to help traders analyze the relationship between price movements and trading volume.
Insights Provided
Price-Volume Dynamics: The indicator shows how price per unit of volume fluctuates, offering insights into market efficiency and liquidity. High ratios may indicate low volume relative to price, suggesting potential volatility or thin markets, while low ratios may reflect high volume supporting price stability.
Trend and Momentum Analysis: Spikes or trends in the price-to-volume ratio can signal significant market events, such as buying/selling pressure or low liquidity periods, helping traders identify potential reversals or continuations.
Zero Line Reference: The zero line helps identify periods where the ratio is undefined (e.g., zero volume) or negative (if applicable), aiding in the interpretation of market conditions.
Volume Sensitivity: By normalizing price by volume, the indicator highlights how volume influences price movements, which is useful for assessing the strength of trends or breakouts.
How to Use
Setup: Apply the indicator to any chart with price and volume data (e.g., stocks, cryptocurrencies like BINANCE:BTCUSDT). The histogram appears in a separate pane below the main chart.
Interpretation :
High Ratios: Indicate low trading volume relative to price, potentially signaling overbought conditions or low liquidity. Use with caution in thin markets.
Low Ratios: Suggest high volume supporting price levels, indicating stronger market participation or stability.
Spikes: Watch for sudden increases in the ratio, which may precede volatility or significant price moves.
Zero Line: Periods where the histogram is absent (due to zero volume) indicate no trading activity, useful for identifying illiquid periods.
Trading Applications:
Confirmation Tool: Combine with other indicators (e.g., RSI, MACD) to confirm trend strength. A rising price-to-volume ratio with a price uptrend may indicate weakening volume support, suggesting a potential reversal.
Volume Analysis: Use alongside volume-based indicators (e.g., OBV, VWAP) to assess whether price movements are backed by sufficient volume.
Scalping/Day Trading: Monitor intraday ratio changes to identify high-impact periods with low volume, which may offer short-term trading opportunities.
Customization: Adjust the histogram color or style (e.g., change to line plot) via the Pine Editor to suit your preferences. Consider adding smoothing (e.g., moving average) for cleaner signals.
Notes
Data Requirements: Ensure the chart’s symbol has valid volume data. Symbols with no volume (e.g., some forex pairs) will result in undefined (na) values.
Limitations: The indicator is sensitive to zero-volume periods, which may cause gaps in the histogram. Use on high-liquidity symbols for best results.
Performance: Lightweight and efficient, suitable for all timeframes.
This indicator is ideal for traders seeking to understand the interplay between price and volume, offering a unique perspective on market dynamics for informed trading decisions.
Adaptive Squeeze Momentum +Adaptive Squeeze Momentum+ (Auto-Timeframe Version)
Overview
Adaptive Squeeze Momentum+ is an enhanced volatility and momentum indicator designed to identify compression and expansion phases in price action. It is inspired by the classic Squeeze Momentum Indicator by LazyBear but introduces automatic parameter adaptation to any timeframe, making it simpler to use across different markets without manual configuration.
Concepts and Methodology
The script combines Bollinger Bands (BB) and Keltner Channels (KC) to detect periods when volatility contracts (squeeze) or expands (release).
A squeeze occurs when BB are inside KC, suggesting low volatility and potential breakout scenarios.
A squeeze release is detected when BB expand outside KC.
Momentum is derived using a linear regression applied to the difference between price and a midrange reference level.
Original Improvements
Compared to the original Squeeze Momentum Indicator, this version offers several enhancements:
Automatic Adaptation: BB and KC lengths and multipliers are dynamically adjusted based on the chart’s timeframe (from 1 minute up to 1 month), removing the need for manual tuning.
Simplified Visualization: A clean, minimalist histogram and clear squeeze state cross markers allow for faster interpretation.
Flexible Application: Designed to work consistently on intraday, daily, and higher timeframes across crypto, forex, stocks, and indices.
Features
Dynamic Squeeze Detection:
Gray Cross: Neutral (no squeeze detected)
Blue Cross: Active squeeze
Yellow Cross: Squeeze released
Momentum Histogram:
Positive/negative momentum shown with slope-based coloring.
Timeframe-Aware Parameters:
Automatically sets optimal BB/KC configurations.
Usage
Watch for blue crosses indicating an active squeeze phase that may precede a directional move.
Use the histogram color and slope to gauge momentum strength and direction.
Combine squeeze release signals with momentum confirmation for potential entries or exits.
Credits and Licensing
This script was inspired by LazyBear’s OLD “Squeeze Momentum Indicator” (). The implementation here significantly expands upon the original by introducing auto-adaptive parameters, restructured logic, and a new visualization approach. Published under the Mozilla Public License 2.0.
Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Use at your own risk.
Divergence Screener [Trendoscope®]🎲Overview
The Divergence Screener is a powerful TradingView indicator designed to detect and visualize bullish and bearish divergences, including hidden divergences, between price action and a user-selected oscillator. Built with flexibility in mind, it allows traders to customize the oscillator type, trend detection method, and other parameters to suit various trading strategies. The indicator is non-overlay, displaying divergence signals directly on the oscillator plot, with visual cues such as lines and labels on the chart for easy identification.
This indicator is ideal for traders seeking to identify potential reversal or continuation signals based on price-oscillator divergences. It supports multiple oscillators, trend detection methods, and alert configurations, making it versatile for different markets and timeframes.
🎲Features
🎯Customizable Oscillator Selection
Built-in Oscillators : Choose from a variety of oscillators including RSI, CCI, CMO, COG, MFI, ROC, Stochastic, and WPR.
External Oscillator Support : Users can input an external oscillator source, allowing integration with custom or third-party indicators.
Configurable Length : Adjust the oscillator’s period (e.g., 14 for RSI) to fine-tune sensitivity.
🎯Divergence Detection
The screener identifies four types of divergences:
Bullish Divergence : Price forms a lower low, but the oscillator forms a higher low, signaling potential upward reversal.
Bearish Divergence : Price forms a higher high, but the oscillator forms a lower high, indicating potential downward reversal.
Bullish Hidden Divergence : Price forms a higher low, but the oscillator forms a lower low, suggesting trend continuation in an uptrend.
Bearish Hidden Divergence : Price forms a lower high, but the oscillator forms a higher high, suggesting trend continuation in a downtrend.
🎯Flexible Trend Detection
The indicator offers three methods to determine the trend context for divergence detection:
Zigzag : Uses zigzag pivots to identify trends based on higher highs (HH), higher lows (HL), lower highs (LH), and lower lows (LL).
MA Difference : Calculates the trend based on the difference in a moving average (e.g., SMA, EMA) between divergence pivots.
External Trend Signal : Allows users to input an external trend signal (positive for uptrend, negative for downtrend) for custom trend analysis.
🎯Zigzag-Based Pivot Analysis
Customizable Zigzag Length : Adjust the zigzag length (default: 13) to control the sensitivity of pivot detection.
Repaint Option : Choose whether divergence lines repaint based on the latest data or wait for confirmed pivots, balancing responsiveness and reliability.
🎯Visual and Alert Features
Divergence Visualization : Divergence lines are drawn between price pivots and oscillator pivots, color-coded for easy identification:
Bullish Divergence : Green
Bearish Divergence : Red
Bullish Hidden Divergence : Lime
Bearish Hidden Divergence : Orange
Labels and Tooltips : Labels (e.g., “D” for divergence, “H” for hidden) appear on price and oscillator pivots, with tooltips providing detailed information such as price/oscillator values, ratios, and pivot directions.
Alerts : Configurable alerts for each divergence type (bullish, bearish, bullish hidden, bearish hidden) trigger on bar close, ensuring timely notifications.
🎲 How It Works
🎯Oscillator Calculation
The indicator calculates the selected oscillator (or uses an external source) and plots it on the chart.
Oscillator values are stored in a map for reference during divergence calculations.
🎯Pivot Detection
A zigzag algorithm identifies pivots in the oscillator data, with configurable length and repainting options.
Price and oscillator pivots are compared to detect divergences based on their direction and ratio.
🎯Divergence Identification
The indicator compares price and oscillator pivot directions (HH, HL, LH, LL) to identify divergences.
Trend context is determined using the selected method (Zigzag, MA Difference, or External).
Divergences are classified as bullish, bearish, bullish hidden, or bearish hidden based on price-oscillator relationships and trend direction.
🎯Visualization and Alerts
Valid divergences are drawn as lines connecting price and oscillator pivots, with corresponding labels.
Alerts are triggered for allowed divergence types, providing detailed information via tooltips.
🎯Validation
Divergence lines are validated to ensure no intermediate bars violate the divergence condition, enhancing signal reliability.
🎲 Usage Instructions as Indicator
🎯Add to Chart:
Add the “Divergence Screener ” to your TradingView chart.
The indicator appears in a separate pane below the price chart, plotting the oscillator and divergence signals.
🎯Configure Settings:
Adjust the oscillator type and length to match your trading style.
Select a trend detection method and configure related parameters (e.g., MA type/length or external signal).
Set the zigzag length and repainting preference.
Enable/disable alerts for specific divergence types.
I🎯nterpret Signals:
Bullish Divergence (Green) : Look for potential buy opportunities in a downtrend.
Bearish Divergence (Red) : Consider sell opportunities in an uptrend.
Bullish Hidden Divergence (Lime) : Confirm continuation in an uptrend.
Bearish Hidden Divergence (Orange): Confirm continuation in a downtrend.
Use tooltips on labels to review detailed pivot and divergence information.
🎯Set Alerts:
Create alerts for each divergence type to receive notifications via TradingView’s alert system.
Alerts include detailed text with price, oscillator, and divergence information.
🎲 Example Scenarios as Indicator
🎯 With External Oscillator (Use MACD Histogram as Oscillator)
In order to use MACD as an oscillator for divergence signal instead of the built in options, follow these steps.
Load MACD Indicator from Indicator library
From Indicator settings of Divergence Screener, set Use External Oscillator and select MACD Histograme from the dropdown
You can now see that the oscillator pane shows the data of selected MACD histogram and divergence signals are generated based on the external MACD histogram data.
🎯 With External Trend Signal (Supertrend Ladder ATR)
Now let's demonstrate how to use external direction signals using Supertrend Ladder ATR indicator. Please note that in order to use the indicator as trend source, the indicator should return positive integer for uptrend and negative integer for downtrend. Steps are as follows:
Load the desired trend indicator. In this example, we are using Supertrend Ladder ATR
From the settings of Divergence Screener, select "External" as Trend Detection Method
Select the trend detection plot Direction from the dropdown. You can now see that the divergence signals will rely on the new trend settings rather than the built in options.
🎲 Using the Script with Pine Screener
The primary purpose of the Divergence Screener is to enable traders to scan multiple instruments (e.g., stocks, ETFs, forex pairs) for divergence signals using TradingView’s Pine Screener, facilitating efficient comparison and identification of trading opportunities.
To use the Divergence Screener as a screener, follow these steps:
Add to Favorites : Add the Divergence Screener to your TradingView favorites to make it available in the Pine Screener.
Create a Watchlist : Build a watchlist containing the instruments (e.g., stocks, ETFs, or forex pairs) you want to scan for divergences.
Access Pine Screener : Navigate to the Pine Screener via TradingView’s main menu: Products -> Screeners -> Pine, or directly visit tradingview.com/pine-screener/.
Select Watchlist : Choose the watchlist you created from the Watchlist dropdown in the Pine Screener interface.
Choose Indicator : Select Divergence Screener from the Choose Indicator dropdown.
Configure Settings : Set the desired timeframe (e.g., 1 hour, 1 day) and adjust indicator settings such as oscillator type, zigzag length, or trend detection method as needed.
Select Filter Criteria : Select the condition on which the watchlist items needs to be filtered. Filtering can only be done on the plots defined in the script.
Run Scan : Press the Scan button to display divergence signals across the selected instruments. The screener will show which instruments exhibit bullish, bearish, bullish hidden, or bearish hidden divergences based on the configured settings.
🎲 Limitations and Possible Future Enhancements
Limitations are
Custom input for oscillator and trend detection cannot be used in pine screener.
Pine screener has max 500 bars available.
Repaint option is by default enabled. When in repaint mode expect the early signal but the signals are prone to repaint.
Possible future enhancements
Add more built-in options for oscillators and trend detection methods so that dependency on external indicators is limited
Multi level zigzag support
