RSI Divergence AlertsIndicator Description: RSI Divergence Alerts
The RSI Divergence indicator is a technical analysis tool that identifies divergences between the Relative Strength Index (RSI) and the price of an asset. The RSI is a momentum indicator that measures the speed and magnitude of recent changes in an asset's price, while divergences occur when there is a disparity between price movements and the RSI.
Indicator Customization:
Overbought and Oversold: The indicator allows you to customize the overbought and oversold levels of the RSI. This allows traders to adjust parameters according to their preferences and the historical behavior of the asset in question.
Indicator Settings and Recommended Adjustments:
Max Bar Distance: This parameter determines the maximum distance allowed between two low or high points for a divergence to be recognized. A higher value may result in more signals, but may also increase the number of false signals. It is recommended to adjust this value based on the volatility of the asset and the time period in which it is being traded.
RSI Length: This is the time period used to calculate the RSI. A longer period smoothes the indicator, while a shorter period makes it more sensitive to price changes. The default value is 14, but traders can adjust it based on their trading strategy and the asset's volatility.
RSI Overbought and Oversold: These values determine the levels at which the RSI is considered overbought and oversold, respectively. The default value for overbought is 75 and for oversold is 35. Traders can adjust these values according to the asset's volatility and its historical analysis. For example, in more volatile assets, it may be useful to use more extreme levels, such as 80 for overbought and 20 for oversold.
When adjusting indicator settings, traders must consider the balance between sensitivity and accuracy. Careful tuning of these parameters can help filter out false signals and identify more reliable trading opportunities.
The alerts functionality in this RSI Divergence indicator is designed to notify traders when a bearish divergence or a bullish divergence is detected. Here's how it works:
Conditionally Triggered Alerts:
Alerts are triggered based on the boolean variables bearishDivergence and bullishDivergence.
If bearishDivergence is true, it indicates that a bearish divergence has been detected.
If bullishDivergence is true, it indicates that a bullish divergence has been detected.
Alert Message:
When a divergence is detected, an alert message is generated to inform the trader about the event.
The message includes details about the divergence, such as the difference in the RSI value between the two points forming the divergence.
For example, for a bearish divergence, the message will include the phrase "Bearish RSI Divergence Detected" and the RSI difference between the high and low points of the divergence.
Alert Frequency:
Alerts are configured to be triggered once per bar close (alert.freq_once_per_bar_close), which means the alert will only be sent once at the close of each bar.
This helps to avoid multiple alerts for the same divergence during the same time period.
Additional Alert Conditions:
In addition to conditionally triggered alert messages, alert conditions are defined for both bearish and bullish divergences.
These alert conditions are useful for configuring custom alerts on trading platforms that support running Pine Script code.
Overall, this alert functionality allows traders to stay informed about potential trading opportunities based on divergences detected by the indicator. This can help traders make faster and more informed decisions in their trading processes.
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RSI Mansfield +RSI Mansfield+ – Adaptive Relative Strength Indicator with Divergences
Overview
RSI Mansfield+ is an advanced relative strength indicator that compares your instrument’s performance against a configurable benchmark index or asset (e.g., Bitcoin Dominance, S&P 500). It combines Mansfield normalization, adaptive smoothing techniques, and automatic detection of bullish and bearish divergences (regular and hidden), delivering a comprehensive tool for assessing relative strength across any market and timeframe.
Originality and Motivation
Unlike traditional relative strength scripts, this indicator introduces several distinctive improvements:
Mansfield Normalization: Scales the ratio between the asset and the benchmark relative to its moving average, transforming it into a normalized oscillator that fluctuates around zero, making it easier to spot outperformance or underperformance.
Adaptive Smoothing: Automatically selects whether to use EMA or SMA based on the market type (crypto or stocks) and timeframe (intraday, daily, weekly, monthly), avoiding manual configuration and providing more robust results under varying volatility conditions.
Divergence Detection: Identifies four types of divergences in the Mansfield oscillator to help anticipate potential reversal points or trend confirmations.
Multi-Market Support: Offers benchmark selection among major crypto and global stock indices from a single input.
These enhancements make RSI Mansfield+ more practical and powerful than conventional relative strength scripts with static benchmarks or without divergence capabilities.
Core Concepts
Relative Strength (RS): Compares price evolution between your asset and the selected benchmark.
Mansfield Normalization: Measures how much the RS deviates from its historical moving average, expressed as a scaled oscillator.
Divergences: Detects regular and hidden bullish or bearish divergences within the Mansfield oscillator.
Timeframe Adaptation: Dynamically adjusts moving average lengths based on timeframe and market type.
How It Works
Benchmark Selection
Choose among over 10 indices or market domains (BTC Dominance, ETH Dominance, S&P 500, European indices, etc.).
Ratio Calculation
Computes the price-to-benchmark ratio and smooths it with the adaptive moving average.
Normalization and Scaling
Transforms deviations into a Mansfield oscillator centered around zero.
Dynamic Coloring
Green indicates relative outperformance, red signals underperformance.
Divergence Detection
Automatically identifies bullish and bearish (regular and hidden) divergences by comparing oscillator pivots against price pivots.
Baseline Reference
A clear zero line helps interpret relative strength trends.
Usage Guidelines
Benchmark Comparison
Ideal for traders analyzing whether an asset is outperforming or lagging its sector or market.
Divergence Analysis
Helps detect potential reversal or continuation signals in relative strength.
Multi-Timeframe Compatibility
Can be applied to intraday, daily, weekly, or monthly charts.
Interpretation
Oscillator >0 and green: outperforming the benchmark.
Oscillator <0 and red: underperforming.
Bullish divergences: potential relative strength reversal to the upside.
Bearish divergences: possible loss of momentum or reversal to the downside.
Credits
The concept of Mansfield Relative Strength is based on Stan Weinstein’s original work on relative performance analysis. This script was built entirely from scratch in TradingView Pine Script v6, incorporating original logic for adaptive smoothing, normalized scaling, and divergence detection, without reusing any external open-source code.
Open Interest-RSI + Funding + Fractal DivergencesIndicator — “Open Interest-RSI + Funding + Fractal Divergences”
A multi-factor oscillator that fuses Open-Interest RSI, real-time Funding-Rate data and price/OI fractal divergences.
It paints BUY/SELL arrows in its own pane and directly on the price chart, helping you spot spots where crowd positioning, leverage costs and price action contradict each other.
1 Purpose
OI-RSI – measures conviction behind position changes instead of price momentum.
Funding Rate – shows who pays to hold positions (longs → bull bias, shorts → bear bias).
Fractal Divergences – detects HH/LL in price that are not confirmed by OI-RSI.
Optional Funding filter – hides signals when funding is already extreme.
Together these elements highlight exhaustion points and potential mean-reversion trades.
2 Inputs
RSI / Divergence
RSI length – default 14.
High-OI level / Low-OI level – default 70 / 30.
Fractal period n – default 2 (swing width).
Fractals to compare – how many past swings to scan, default 3.
Max visible arrows – keeps last 50 BUY/SELL arrows for speed.
Funding Rate
mode – choose FR, Avg Premium, Premium Index, Avg Prem + PI or FR-candle.
Visual scale (×) – multiplies raw funding to fit 0-100 oscillator scale (default 10).
specify symbol – enable only if funding symbol differs from chart.
use lower tf – averages 1-min premiums for smoother intraday view.
show table – tiny two-row widget at chart edge.
Signal Filter
Use Funding filter – ON hides long signals when funding > Buy-threshold and short signals when funding < Sell-threshold.
BUY threshold (%) – default 0.00 (raw %).
SELL threshold (%) – default 0.00 (raw %).
(Enter funding thresholds as raw percentages, e.g. 0.01 = +0.01 %).
3 Visual Outputs
Sub-pane
Aqua OI-RSI curve with 70 / 50 / 30 reference lines.
Funding visualised according to selected mode (green above 0, red below 0, or other).
BUY / SELL arrows at oscillator extremes.
Price chart
Identical BUY / SELL arrows plotted with force_overlay = true above/below candles that formed qualifying fractals.
Optional table
Shows current asset ticker and latest funding value of the chosen mode.
4 Signal Logic (Summary)
Load _OI series and compute RSI.
Retrieve Funding-Rate + Premium Index (optionally from lower TF).
Find fractal swings (n bars left & right).
Check divergence:
Bearish – price HH + OI-RSI LH.
Bullish – price LL + OI-RSI HL.
If Funding-filter enabled, require funding < Buy-thr (long) or > Sell-thr (short).
Plot arrows and trigger two built-in alerts (Bearish OI-RSI divergence, Bullish OI-RSI divergence).
Signals are fixed once the fractal bar closes; they do not repaint afterwards.
5 How to Use
Attach to a liquid perpetual-futures chart (BTC, ETH, major Binance contracts).
If _OI or funding series is missing you’ll see an error.
Choose timeframe:
15 m – 4 h for intraday;
1 D+ for swing trades.
Lower TFs → more signals; raise Fractals to compare or use Funding filter to trim noise.
Trade checklist
Funding positive and rising → longs overcrowded.
Price makes higher high; OI-RSI makes lower high; Funding above Sell-threshold → consider short.
Reverse logic for longs.
Combine with trend filter (EMA ribbon, SuperTrend, etc.) so you fade only when price is stretched.
Automation – set TradingView alerts on the two alertconditions and send to webhooks/bots.
Performance tips
Keep Max visible arrows ≤ 50.
Disable lower-TF premium aggregation if script feels heavy.
6 Limitations
Some symbols lack _OI or funding history → script stops with a console message.
Binance Premium Index begins mid-2020; older dates show na.
Divergences confirm only after n bars (no forward repaint).
7 Changelog
v1.0 – 10 Jun 2025
Initial public release.
Added price-chart arrows via force_overlay.
RSI Candlestick Oscillator [LuxAlgo]The RSI Candlestick Oscillator displays a traditional Relative Strength Index (RSI) as candlesticks. This indicator references OHLC data to locate each candlestick point relative to the current RSI Value, leading to a more accurate representation of the Open, High, Low, and Close price of each candlestick in the context of RSI.
In addition to the candlestick display, Divergences are detected from the RSI candlestick highs and lows and can be displayed over price on the chart.
🔶 USAGE
Translating candlesticks into the RSI oscillator is not a new concept and has been attempted many times before. This indicator stands out because of the specific method used to determine the candlestick OHLC values. When compared to other RSI Candlestick indicators, you will find that this indicator clearly and definitively correlates better to the on-chart price action.
Traditionally, the RSI indicator is simply one running value based on (typically) the close price of the chart. By introducing high, low, and open values into the oscillator, we can better gauge the specific price action throughout the intrabar movements.
Interactions with the RSI levels can now take multiple forms, whether it be a full-bodied breakthrough or simply a wick test. Both can provide a new analysis of price action alongside RSI.
An example of wick interactions and full-bodied interactions can be seen below.
As a result of the candlestick display, divergences become simpler to spot. Since the candlesticks on the RSI closely resemble the candlesticks on the chart, when looking for divergence between the chart and RSI, it is more obvious when the RSI and price are diverging.
The divergences in this indicator not only show on the RSI oscillator, but also overlay on the price chart for clearer understanding.
🔹 Filtering Divergence
With the candlesticks generating high and low RSI values, we can better sense divergences from price, since these points are generally going to be more dramatic than the (close) RSI value.
This indicator displays each type of divergence:
Bullish Divergence
Bearish Divergence
Hidden Bullish Divergence
Hidden Bearish Divergence
From these, we get many less-than-useful indications, since every single divergence from price is not necessarily of great importance.
The Divergence Filter disregards any divergence detected that does not extend outside the RSI upper or lower values.
This does not replace good judgment, but this filter can be helpful in focusing attention towards the extremes of RSI for potential reversal spotting from divergence.
🔶 DETAILS
In order to get the desired results for a display that resembles price action while following RSI, we must scale. The scaling is the most important part of this indicator.
To summarize the process:
Identify a range on Price and RSI
Consider them as equal to create a scaling factor
Use the scaling factor to locate RSI's "Price equivalent" Upper, Lower, & Mid on the Chart
Use those prices (specifically the RSI Mid) to check how far each OHLC value lies from it
Use those differences to translate the price back to the RSI Oscillator, pinning the OHLC values at their relative location to our anchor (RSI Mid)
🔹 RSI Channel
To better understand, and for your convenience, the indicator includes the option to display the RSI Channel on the chart. This channel helps to visualize where the scaled RSI values are relative to price.
If you analyze the RSI channel, you are likely to notice that the price movement throughout the channel matches the same movement witnessed in the RSI Oscillator below. This makes sense since they are the exact same thing displayed on different scales.
🔹 Scaling the Open
While the scaling method used is important, and provides a very close view of the real price bar's relative locations on the RSI oscillator… It is designed for a single purpose.
The scaling does NOT make the price candles display perfectly on the RSI oscillator.
The largest place where this is noticeable is with the opening of each candle.
For this reason, we have included a setting that modifies the opening of each RSI candle to be more accurate to the chart's price candles.
This setting positions the current bar's opening RSI candlestick value accurately relative to the price's open location to the previous closing price. As seen below.
🔶 SETTINGS
🔹 RSI Candles
RSI Length: Sets the Length for the RSI Oscillator.
Overbought/Oversold Levels: Sets the Overbought and Oversold levels for the RSI Oscillator.
Scale Open for Chart Accuracy: As described above, scales the open of each candlestick bar to more accurately portray the chart candlesticks.
🔹 Divergence
Show on Chart: Choose to display divergence line on the chart as well as on the Oscillator.
Divergence Length: Sets the pivot width for divergence detection. Normal Fractal Pivot Detection is used.
Divergence Style: Change color and line style for Regular and Hidden divergences, as well as toggle their display.
Divergence Filter: As described above, toggle on or off divergence filtering.
🔹 RSI Channel
Toggle: Display RSI Channel on Chart.
Color: Change RSI Channel Color
Gabriel's Relative Strength IndexGabriel’s RSI—The Reinvention of Relative Strength
Not your average RSI.
This is a fully reengineered Relative Strength Index that merges the power of advanced signal processing, adaptive smoothing, volume dynamics, and intelligent divergence detection into a single, modular toolkit designed for precision trading across all markets.
Whether you’re scalping crypto, swing trading equities, or dissecting futures contracts—Gabriel’s RSI adapts to your strategy with unrivaled control and clarity.
⚙️ 1. RSI Settings
RSI Length (Jurik): Set to 51 by default to mimic a 21-period standard RSI when Jurik smoothing is applied. Adjust lower (e.g., 22) to mimic a 9-period RSI. 32 would be almost ~14, 13.33 RSI.
RSI Source: The default is hlc3 for smoother RSI. Can be changed to any price-based series (close, open, etc.) for customization.
📡 VIX-Aware: Automatically switches to high/low/close during VIX spikes using a custom Z-score model if toggled. (I backtested it, and it catches bottoms better.) 📡
🎯 2. RSI Smoothing Options
MA Type: Smoothing applies to both RSI and its MA overlay simultaneously. I used to use the 56 EMA RSI, and it works well too.
Options: JMA, T3, Kalman, Laguerre, Super Smoother, ALMA, VWMA, LSMA, etc.
JMA: Best for adaptive recursive smoothing. A power of 2 and a phase of 50 are used.
T3: Smooth and lag-reduced, suitable for trend detection. The alpha is 0.7.
SMA + Bollinger Bands: Adds deviation-based envelopes for volatility spotting. BB StdDev: Only relevant if BBs are used. Controls bandwidth for overbought/oversold zones.
MA Length: Affects how smooth or reactive the RSI signal is.
📉 3. MACD Settings
Fast/Slow Length: Defaults (21/81) optimized for smoother MACD with SMA or T3. For Algo trading, EMA/JMA is best.
Signal Length: Shorter (e.g., 2) gives more reactive crossover signals; it can be increased.
Source: Default is close. Close works best for the settings I input. I also tuned some of the other MA types that worked for it.
MA Types: JMA and EMA reduce noise and increase signal generation. Select SMA for simplicity or T3 for trend-following.
Histogram: Bar colors signal strength and trend of MACD directly on your chart.
🔀 4. Directional Movement Index (DMI)
ADX Smoothing: High values (e.g., 100) offer strong trend confirmation with Hann Window smoothing 12, or 14 for either regular RMA or double smoothed.
DI Length: Affects DI+/- sensitivity. 100 ADX - 12/14 DI or 15 ADX - 35 DI are suggested, the latter for quicker boot time, as 100 bars is quite long.
Smoothing Type: Choose Hann Window for refined smoothing; RMA (SMMA) for simplicity. Double-smoothing is RMA -> Hann window, best of both types.
Volatility Type: ATR includes gaps for a full-range volatility; ADR is useful for gapless strategies, particularly OTC markets and intraday.
Plotted as area fills, 0 to 100 scaled.
Color-coded as Red (ADX), Orange (DI-), Blue (DI+).
📊 5. Volume Z-Score
%R Length: Normalizes volume to percentile range (73 swing, 112 exhaustion).
Z-Score Lengths: Compares short-term and long-term volume trends with Z-scores of volume.
Fast Z-Score < Slow Z-Score = Gives a Volume Squeeze.
Fast MA > Slow MA = Bullish Volume Divergence; volume has been fired. Not via Z-score, but instead via SMA, ALMA, and RMA of volume.
WPR Volume: Weighted %R used to highlight exhaustion/pivot points.
Plot volume bars after a volume squeeze has been fired; if bars aren't plotted, then it's under squeeze. Backtest on ES1! Prove it's good for catching bottoms below 15 minutes as well.
🧠 6. Divergence Engine
Pivot Settings: Pivot Period (12), Divergence minval Lookback (5), and max Lookback Bars (100) control sensitivity. Works well on any asset class; these are the optimal settings for the RSI.
Source Options: RSI, MACD, ADX, DI difference, or Volume %R.
Divergence Types: Regular (Mean Reversal), Hidden (Trend Continuation).
Heikin Ashi Mode: Enables use of HA candles on normal charts for smoother pivots. May distort values if your chart is H.A. so leave it unchecked then.
💥 7. Squeeze Momentum System (SQZMOM PRO)
Squeeze Types:
⚫ Wide (Black) — Regular Compression
🔴 Normal (Red) — Standard squeeze
🟡 Narrow (Yellow) — Golden squeeze
🟣 Very Narrow (Purple) — Extreme compression
🟢 Fired (Green) — Fired Squeeze = Breakout
Plotted on the very bottom of my indicator.
Momentum Bars:
🔷 Cyan = Rising
🔵 Blue = Pullback
🔴 Red = Falling
🟡 Yellow = Corrective
Plotted on the top of my indicator.
Reversal Signals: Dashed lines on momentum–JMA crossovers (DM-style pivot logic) ploted directly on the chart.
📈 8. Rate of Change (RoC)
RoC of Momentum: EMA-smoothed RoC on momentum for leading signals. Double smoothed, once and then another time for smoother signals.
RoC of Momentum → EMA → EMA → JMA Signal.
Signal Line: JMA used to filter noise and generate reversal signals.
Crossovers: Bullish/bearish signals based on RoC vs. signal line are plotted as triangles directly on your chart.
Optimized: Backtested for short-term setups like 1H or faster. Works on Daily timeframes as well for Futures and 24/7 Markets.
🕰️ 9. Multi-Timeframe Squeeze Settings
Each timeframe (Hourly, 4H, Daily, Weekly, Monthly) has:
Reversal Toggle: Enables dashed line DM-style pivots on crossovers.
MA Length: For Jurik MA smoothing on momentum.
BB/KC Thresholds: Define squeeze sensitivity per timeframe. A shorter BB/KC length, 17-14-12, responds better on lower timeframes.
Momentum Length: Tailors oscillator responsiveness; 20 is ideal.
🧮 10. BB Std. Deviation Scaling
Low-Pass Super Smoother : Smooths noise for BBs.
High-Pass Butterworth : Extracts cycles for BB Stdv. blend.
Root Mean Squared : Dynamic BB width adjustment based on market activity. True-range-based.
LP -> HP -> RMS -> Bollinger Band Multiplier (2.0)
Optional Intensify: Increases the squeeze rate * 4. Can be used for some option pricing strategies.
🧵 11. Moving Average Ribbon
4 optional MAs with full customization:
Choose from 13 MA types (incl. Kalman, Laguerre, T3, ALMA)
Color-coded for trend analysis (MA1–MA4 mimicking 9/21/50/200 periods)
Optional crossover alerts
🔔12. Alerts
RSI: Overbought/oversold reversals. Several types. (🦅 / 🕊️)
MACD: Histogram shift through zero line. (🐘 / 🐴)
DMI/ADX: Crossovers and strength conditions. The key level is the level where if DI/ADX is past this threshold, then it's considered to be trending. (🐬 / 🐋 / 🛡️)
Volume: Smart Money alerts on low-volume zones. May concentrate on ICT sessions. (🚨)
Squeeze: Alerts on all 5 squeeze states. (⚫, 🔴, 🟡, 🟣, 🟢)
Momentum: Momentum / JMA crosses and reversals. (🐂 / 🐻)
RoC: Bullish and bearish crosses. (📈 / 📉)
Divergences: Regular, hidden, and combined. (🐂 / 🐻 / 🐾 / 🐼)
MA Ribbon: Cross alert (⚔️)
VIX: VIX Z-Score past 2.0 (🏴☠️)
📊 13. Visual Output Summary
RSI Line + MA + Optional BB
MACD Histogram (Color Adaptive)
DMI/ADX Area Fills
%R Volume Bars (Smart Money)
Squeeze Dots (Circles)
Momentum Bars (Squares)
RoC Arrows (Cross Signals)
Pivot Break Lines (Dashed)
Auto-Divergence Lines & Labels
MA Ribbon Overlay (Optional)
✅ Best Practices ✅
Watch the slope of the RSI for pullbacks on a strong trend. Combine it with squeeze for exit timing.
Combine RSI Divergence with MACD histogram cross and Squeeze firing for precise entry.
Use Volume Z-Score to filter for institutional activity, and enter Long. Watch for reversals as well.
Watch RoC crossovers for fast, leading signals.
Enable Reversal Lines on 1H+ charts for breakout or breakdown pivots.
Use multi-timeframe thresholds for swing confirmation. The TFs I use the most are 2-5-15 minutes for futures and swinging with 1 hour daily and weekly. Those are the TFs I backtested.
An optional MA Ribbon is here as well; it supports 13 MA types.
🌎 Asset-Agnostic
MACD Automatically adjusts for Crypto, Forex, Stocks, Commodities, and Indices.
Custom ALMA, T3, Kalman, and Laguerre filters optimized per asset class and timeframe.
📚 Tech Highlights
Over 15,000 lines of modular, structured Pine Script v6 code.
Integration of Ehlers Cycle Theory and various other filters, one for each indicator.
Designed for visual clarity, multi-dimensional signal stacking, and low lag/high accuracy.
🌀 All 64 outputs are filled, so there might not be any more future updates. It's also a bit slow to load due to that.
Ichimoku Oscillator With Divergences [ChartPrime]The Ichimoku Oscillator is a trading indicator designed to streamline the interpretation of Ichimoku clouds. It aims to refine and condense the complexities of the Chikou (the lag line), presenting its implications in real-time through an oscillator format, beneficial for those familiar with Ichimoku components but to have a new interpretation of their indicators.
The basics of an Ichimoku:
Conversion Line (Tenkan-Sen): It represents a midpoint of the highest and lowest prices over a specific period, usually 9 periods, reflecting short-term price movements.
Base Line (Kijun-Sen): It acts similarly to the Conversion Line but over a longer period, typically 26 periods, representing medium-term price movements.
Leading Span A & B (Kumo): Span A is the average of the Conversion Line and Base Line, and Span B is the midpoint of the highest and lowest prices over a usually longer period, typically 52 periods. Their interaction denotes trend direction, and the cloud color changes depending on whether Span A is above or below Span B, indicating bullish or bearish market conditions, respectively.
Lagging Span (Chikou Span): It is the current closing price plotted 26 periods behind, assisting in confirming the trend direction and potential momentum.
Advantage of an Oscillator:
Utilizing the oscillator format allows traders to interpret market dynamics more efficiently by visualizing the momentum and trend strength in a bounded range, enabling quick assessments of overbought or oversold conditions. Creating this oscillator provides multiple advantageous; particularly in sideway markets, helping to identify potential reversal points and offering insights on market entries and exits. When building this oscillator we've put a focus on unique interpretations such as overbought and sold areas and divergences; otherwise not found in traditional Ichimoku techniques. It is important to note these divergences are naturally not 100% real time.
When the oscillator turns green; the market is in an uptrend, red for downtrend and yellow for a transitioning market. The center line and the inner most cloud represent a balanced market state.
Key Features & Input Parameters:
Signal Source: Allows the selection of the price data source for signal generation, such as closing prices, and it’s the foundational parameter upon which the oscillator functions.
Normalization Settings: Users can select the normalization mode (“All”, “Window”, or “Disabled”), influencing how the oscillator scales its values. When enabled, it will scale from 100 to -100, allowing the user to understand better the relative positioning of price data.
Smoothing: This indicator offers advanced smoothing features, with options for additional smoothing, allowing traders to adjust the signal's sensitivity to price movements.
Kumo & Chikou Visibility: Traders can customize the visibility settings of Kumo and Chikou, tailoring the display of each component to their preference, enabling a cleaner and more intuitive view of market conditions.
Color Coding: Each component and condition, like bullish or bearish states, can be color-coded, providing visual cues to enhance the interpretability of market trends and states.
Color on Conversion: The oscillator provides an option to color the signal based on the crossover of the conversion and base lines.
Divergence: The oscillator can detect and highlight regular and hidden bullish and bearish divergences between the signal and price, aiding traders in identifying potential trend reversals or continuations.
Alerts:
The list of inbuilt alerts are provided below:
Inside Cloud: The signal line is inside the cloud.
Up Out of Cloud: The signal line crossed above the cloud.
Down Out of Cloud: The signal line crossed below the cloud.
Future Kumo Cross Bullish: The future Kumo lines have crossed in a bullish manner.
Future Kumo Cross Bearish: The future Kumo lines have crossed in a bearish manner.
Current Kumo Cross Bullish: The current Kumo lines have crossed in a bullish manner.
Current Kumo Cross Bearish: The current Kumo lines have crossed in a bearish manner.
Conversion Base Bullish: The conversion line crossed above the base line.
Conversion Base Bearish: The conversion line crossed below the base line.
Signal Bullish on Conversion Base: The signal line crossed above the maximum of conversion and base lines.
Signal Bearish on Conversion Base: The signal line crossed below the minimum of conversion and base lines.
Chikou Bullish: The Chikou line crossed above zero.
Chikou Bearish: The Chikou line crossed below zero.
Signal Over Max: The signal line crossed above the max level.
Signal Over High: The signal line crossed above the high level.
Signal Under Min: The signal line crossed below the min level.
Signal Under Low: The signal line crossed below the low level.
Chikou Over Max: The Chikou line crossed above the max level.
Chikou Over High: The Chikou line crossed above the high level.
Chikou Under Min: The Chikou line crossed below the min level.
Chikou Under Low: The Chikou line crossed below the low level.
Signal Crossover MA: The signal line crossed over the moving average.
Signal Crossunder MA: The signal line crossed under the moving average.
Regular Bullish Divergence: Regular bullish divergence detected.
Hidden Bullish Divergence: Hidden bullish divergence detected.
Regular Bearish Divergence: Regular bearish divergence detected.
Hidden Bearish Divergence: Hidden bearish divergence detected.
Bounce off of Kumo Up: Bullish Bounce off of Kumo.
Bounce off of Kumo Down: Bearish Bounce off of Kumo.
By providing a cohesive visualization of the Ichimoku elements and market momentum within a bounded range, this oscillator is a unique tool and insight into markets.
The Divergent LibraryLibrary "TheDivergentLibrary"
The Divergent Library is only useful when combined with the Pro version of The Divergent - Advanced divergence indicator . This is because the Basic (free) version of The Divergent does not expose the "Divergence Signal" value.
Usage instructions:
1. Create a new chart
2. Add The Divergent (Pro) indicator to your chart
3. Create a new strategy, import this library, add a "source" input, link it to "The Divergent: Divergence Signal", and use the library to decode the divergence signals from The Divergent (You can find example strategy code published in our profile)
4. Act on the divergences signalled by The Divergent
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isRegularBullishEnabled(context) Returns a boolean value indicating whether Regular Bullish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Regular Bullish divergence detection is enabled in The Divergent.
isHiddenBullishEnabled(context) Returns a boolean value indicating whether Hidden Bullish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Hidden Bullish divergence detection is enabled in The Divergent.
isRegularBearishEnabled(context) Returns a boolean value indicating whether Regular Bearish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Regular Bearish divergence detection is enabled in The Divergent.
isHiddenBearishEnabled(context) Returns a boolean value indicating whether Hidden Bearish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Hidden Bearish divergence detection is enabled in The Divergent.
getPivotDetectionSource(context) Returns the 'Pivot Detection Source' setting of The Divergent. The returned value can be either "Oscillator" or "Price".
Parameters:
context : The context of The Divergent Library.
Returns: One of the following string values: "Oscillator" or "Price".
getPivotDetectionMode(context) Returns the 'Pivot Detection Mode' setting of The Divergent. The returned value can be either "Bodies" or "Wicks".
Parameters:
context : The context of The Divergent Library.
Returns: One of the following string values: "Bodies" or "Wicks".
isLinked(context) Returns a boolean value indicating the link status to The Divergent indicator.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating the link status to The Divergent indicator.
init(firstBarSignal, displayLinkStatus, debug) Initialises The Divergent Library's context with the signal produced by The Divergent on the first bar. The value returned from this function is called the "context of The Divergent Library". Some of the other functions of this library requires you to pass in this context.
Parameters:
firstBarSignal : The signal from The Divergent indicator on the first bar.
displayLinkStatus : A boolean value indicating whether the Link Status window should be displayed in the bottom left corner of the chart. Defaults to true.
debug : A boolean value indicating whether the Link Status window should display debug information. Defaults to false.
Returns: A bool array containing the context of The Divergent Library.
processSignal(signal) Processes a signal from The Divergent and returns a 5-tuple with the decoded signal: [ int divergenceType, int priceBarIndexStart, int priceBarIndexEnd, int oscillatorBarIndexStart, int oscillatorBarIndexEnd]. `divergenceType` can be one of the following values: na → No divergence was detected, 1 → Regular Bullish, 2 → Regular Bullish early, 3 → Hidden Bullish, 4 → Hidden Bullish early, 5 → Regular Bearish, 6 → Regular Bearish early, 7 → Hidden Bearish, 8 → Hidden Bearish early.
Parameters:
signal : The signal from The Divergent indicator.
Returns: A 5-tuple with the following values: [ int divergenceType, int priceBarIndexStart, int priceBarIndexEnd, int oscillatorBarIndexStart, int oscillatorBarIndexEnd].
MACD Divergence all in oneMACD Divergence all in one
It can also be named as MACD dual divergence detector pro !
A sophisticated yet user-friendly tool designed to identify both bullish and bearish divergences using the MACD (Moving Average Convergence Divergence) indicator. This advanced script helps traders spot potential trend reversals by detecting hidden momentum shifts in the market, offering a comprehensive solution for divergence trading.
🎯 Key Features:
• Automatic detection of bullish and bearish divergences
• Clear visual signals with color-coded lines (Green for bullish, Red for bearish)
• Smart filtering system to eliminate false signals
• Customizable parameters to match your trading style
• Clean, uncluttered chart presentation
• Optimized performance for real-time analysis
• Easy-to-read labels showing divergence types
• Built-in signal spacing to avoid clustering
📊 How it works:
The indicator uses an advanced algorithm to analyze the relationship between price action and MACD momentum to identify:
Bullish Divergences:
- Price makes higher lows while MACD shows lower lows
- Signals potential trend reversal from bearish to bullish
- Marked with green lines and upward labels
Bearish Divergences:
- Price makes lower highs while MACD shows higher highs
- Signals potential trend reversal from bullish to bearish
- Marked with red lines and downward labels
⚙️ Customizable Settings:
1. MACD Parameters:
- Fast Length (default: 12)
- Slow Length (default: 26)
- Signal Length (default: 9)
2. Divergence Detection:
- Left/Right Pivot Bars
- Divergence Lookback Period
- Minimum/Maximum Divergence Length
- Divergence Strength Filter
3. Visual Settings:
- Clear color coding for easy identification
- Adjustable line thickness
- Customizable label size
💡 Best Practices:
- Most effective on higher timeframes (1H, 4H, Daily)
- Combine with support/resistance levels
- Use with trend lines and price action
- Consider volume confirmation
- Best results during trending markets
- Use appropriate stop-loss levels
🎓 Trading Tips:
1. Look for bullish divergences near support levels
2. Watch for bearish divergences near resistance zones
3. Confirm signals with other technical indicators
4. Consider market context and overall trend
5. Use proper position sizing and risk management
⚠️ Important Notes:
- Past performance doesn't guarantee future results
- Always use proper risk management
- Test settings on historical data first
- Different timeframes may require parameter adjustments
- Not all divergences lead to reversals
Created by: Anmol-max-star
Last Updated: 2025-02-25 16:15:08 UTC
📌 Regular updates and improvements planned!
Disclaimer:
This indicator is for informational purposes only. Always conduct your own analysis and use proper risk management techniques. Trading involves risk of loss, and past performance does not guarantee future results.
🤝 Support:
Feel free to leave comments for:
- Suggestions
- Improvements
- Feature requests
- Bug reports
- General feedback
Your feedback helps make this tool better for everyone!
Happy Trading and May the Trends Be With You! 📈
Dollar Volume DivergenceOverview
The Dollar Volume Profile and Divergence Indicator is a comprehensive tool designed to analyze both standard volume and dollar volume activity in the market. It visualizes dollar volume (calculated as close * volume) and highlights divergences between dollar volume and standard volume, providing insights into underlying market dynamics that aren't immediately visible with traditional volume analysis.
Key Features
Dollar Volume Profile:
Plots dollar volume as a histogram.
Highlights high-dollar volume bars in green (indicating significant trading activity).
Includes an optional average dollar volume line to show trends over time.
Volume-Divergence Analysis:
Calculates the difference (divergence) between dollar volume and standard volume.
Displays positive divergence (dollar volume > standard volume) in green and negative divergence (dollar volume < standard volume) in red.
Supports both histogram and boolean point visualization for divergence, offering flexibility in how the data is displayed.
Customizable Visualization:
Users can toggle between a Histogram or Boolean Points for divergence visualization.
Option to enable or disable the dollar volume profile and its average line.
Adjustable length parameter to fine-tune sensitivity for averages and divergences.
Use Cases
Volume Confirmation: Analyze whether dollar volume aligns with standard volume to confirm strong price movements.
Divergence Detection: Identify areas where dollar volume and standard volume deviate, which may signal potential reversals or exhaustion in a trend.
Market Strength Analysis: Assess the intensity of trading activity at specific price levels to determine key areas of interest.
How It Works
Dollar Volume Calculation:
Dollar volume is derived by multiplying the close price by the volume for each bar.
A moving average of dollar volume is used to determine relative activity levels.
Divergence Calculation:
The script calculates the difference between dollar volume and standard volume.
Positive values indicate that dollar volume exceeds standard volume, suggesting institutional or larger-scale trades.
Negative values highlight areas of lower dollar volume compared to standard volume.
Visualization:
The Dollar Volume Profile is displayed as a histogram, with high-dollar volume bars highlighted.
Divergences are overlaid as either a histogram or triangle markers, depending on user preference.
Average lines (optional) provide smoother trends for both dollar volume and divergence.
Customization Options
Length: Adjusts the period for moving average calculations.
Plot Style: Choose between Histogram or Boolean Points for divergence visualization.
Toggle Visibility: Enable or disable the Dollar Volume Profile and its average line for a cleaner chart.
Why Use This Indicator?
This indicator bridges the gap between traditional volume analysis and dollar volume analysis, offering deeper insights into market behavior. By combining these metrics, traders can detect nuanced patterns, validate trends, and identify divergences that may signal market turning points or continuation.
Best Practices
Use this indicator in conjunction with price action and other technical indicators for confirmation.
Look for divergences in high-dollar volume areas to detect potential trend reversals.
Analyze the interaction between the dollar volume profile and divergence histogram for a comprehensive view of market activity.
Important Notice:
Trading financial markets involves significant risk and may not be suitable for all investors. The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research or consult with a qualified financial advisor before making trading decisions. Past performance is not indicative of future results.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
RSI/MFI Divergence Finder [idahodev]Monitoring RSI (Relative Strength Index) and MFI (Money Flow Index) divergences on a stock or index chart offers several benefits to traders and analysts. Let's break down the advantages:
Comprehensive Market View: Combining both indicators provides a more complete picture of market conditions, as they measure different aspects of price movement. RSI focuses on recent gains/losses relative to price change, while MFI incorporates volume data to assess money flow in and out of a security.
Enhanced Signal Accuracy: When divergences occur simultaneously in both RSI and MFI, it may be considered a stronger signal than if only one indicator showed divergence. This can potentially lead to more reliable trading decisions.
Identification of False Breakouts: Divergences between these indicators and price action can help identify false breakouts or misleading price movements that are not supported by underlying market strength or volume.
More Nuanced Market Understanding: By examining divergent behavior between money flow (MFI) and momentum (RSI), traders gain a more detailed comprehension of the interplay between these factors in shaping market trends.
Early Warning Signs: These divergences can act as early warning signs for potential trend reversals or changes in market sentiment, allowing traders to adjust their strategies proactively.
It's important to note that RSI/MFI divergences should be used as part of a broader trading strategy rather than solely relying on them for buy/sell signals. They can serve as valuable tools for confirming trends, identifying potential turning points, or warning against overbought/oversold conditions.
When using these indicators together, traders must be cautious of false signals, especially in choppy markets or during periods of high volatility. It's crucial to combine this analysis with other technical and fundamental factors before making trading decisions.
In summary, monitoring RSI/MFI divergences may offer a way to gain insights into the underlying strengths and weaknesses of market movements.
This utility differs from other in that it allows for a choke/threshold/sensitivity setting to help weed out noisy signals. This needs to be carefully adjusted per chart.
It also allows for tuning of the MFI smoothing length (number of bars on the current chart) as well as how many previous bars it will take into consideration when calculating RSI and MFI divergences. It will signal when it sees alignment forming between RSI and MFI divergences in a direction. You will likely need to tune this script's settings every few days or at least anytime there is a change in overall market behavior or sustained volatility.
Ultimately, the goal with this script is to provide an additional level of confirmation of weakness or strength. It should be combined with other indicators such as exhaustion, pivots, supply/demand, trendline breaks or tests, and structure changes, to name a few complementary tools or strategies. It's not meant to be a standalone buy/sell signal indicator!
Here are some settings for futures that may help you get started:
ES (4m chart)
RSI Length: 26
MFI Length: 8
MFI Smoothing Length: 32
Divergence Sensitivity: 124
Left Bars for Pivot: 10
Right Bars for Pivot: 1
NQ (4m chart)
RSI Length: 14
MFI Length: 14
MFI Smoothing Length: 21
Divergence Sensitivity: 400
Left Bars for Pivot: 21
Right Bars for Pivot: 1
YM (4m chart)
RSI Length: 14
MFI Length: 14
MFI Smoothing Length: 21
Divergence Sensitivity: 810
Left Bars for Pivot: 33
Right Bars for Pivot: 1
MAC-Z & MACD Leader signal [ChuckBanger]This is a combination of my MACD Leader script and MAC-Z with option to add Laguerre filter. The advantage of the MAC-Z over MACD is that it is a more accurate and “assumption-free” indicator that can more accurately describe how a market actually perform. But you can use this as a regular MACD indicator.
Crossovers signals
The MAC-Z line and signal line can be utilized in the same way as a stochastic oscillator, with the crossover between the two lines providing buy and sell signals. As with most crossover strategies, a buy signal comes when the shorter-term, more reactive line – in this case the MAC-Z line (blue line) crosses above the slower signal line (orange line). For example, when the MAC-Z line crosses below the signal line it provides a bearish sell signal.
Zero line crossing
The zero cross strategy is based on either of the lines crossing the zero line. If the MAC-Z crosses the zero line from below, it is a signal for a possible new uptrend, while the MAC-Z crossing from above is a signal that a new downtrend may be starting. This is special powerful if the lines has a fast up or down movement but the price action doesn't reflect that movement.
Divergences
Bearish and bullish divergences is my favorite signals. When price action and oscillators follow the same path it is called Convergences, when they don’t, it’s called a Divergence. Don't confuse the two because they have not the same meaning. But be aware that for example during consolidation or low liquidity, some small divergences between price and indicators might form, but that doesn't mean we should consider them as real divergences.
There is many different types of divergences. It is easier to show a picture then explaining it so I recommend you to check out the link below. Especially the top image. It sums this up very well
medium.com
MACD Leader
The MACD leader is only showing the crossing of MACD as a vertical line
Green vertical line = MACD Leader Bullish Cross
Red vertical line = MACD Leader Bearish Cross
MACD Leader:
MAC-Z:
More Information
cssanalytics.wordpress.com
en.wikipedia.org
drive.google.com
Advanced Awesome Oscillator [CryptoSea]Advanced AO Analysis Indicator
The Advanced AO Analysis indicator is a sophisticated tool designed to evaluate the Awesome Oscillator (AO) in search of regular and hidden divergences that signal potential price reversals. By tracking the intensity and duration of the AO's movements, this indicator aids traders in pinpointing critical points in price action.
Key Features
Divergence Detection: Identifies both regular and hidden bullish and bearish divergences, providing early signs of potential market reversals.
Customizable Lookback Periods: Allows users to set specific lookback windows to define the strength and relevance of detected divergences.
Adaptive Oscillator Display: Features customizable display options for the AO, enabling users to view data in different modes suited to their analysis needs.
Alert System: Includes configurable alerts to notify users of potential divergence formations, helping traders respond promptly.
How it Works
AO Calculation: Computes the AO as the difference between short-term and long-term moving averages of the midpoints of bars, highlighting momentum shifts.
Pivot Point Analysis: Utilizes advanced algorithms to find low and high pivot points based on the oscillator values, crucial for spotting trend reversals.
Range Validation: Verifies that divergences occur within a predefined range from pivot points, ensuring their validity and strength.
Visualisation: Plots AO values and potential divergences directly on the chart, aiding in quick visual analysis.
Application
Strategic Decision-Making: Assists traders in making informed decisions by providing detailed analysis of AO movements and divergence.
Trend Confirmation: Reinforces trading strategies by confirming potential reversals with pivot point detection and divergence analysis.
Behavioural Insight: Offers insights into market dynamics and sentiment by analyzing the depth and duration of AO cycles above and below zero.
The Advanced AO Analysis indicator equips traders with a powerful analytical tool for studying the Awesome Oscillator in-depth, enhancing their ability to spot and act on divergence-based trading opportunities in the cryptocurrency markets.
RSI+EMA+MZONES with DivergencesFeatures:
1. RSI Calculation:
Uses user-defined periods to calculate the RSI and visualize momentum shifts.
Plots key RSI zones, including upper (overbought), lower (oversold), and middle levels.
2. EMA of RSI:
Includes an Exponential Moving Average (EMA) of the RSI for trend smoothing and confirmation.
3. Bullish and Bearish Divergences:
Detects Regular divergences (labeled as “Bull” and “Bear”) for classic signals.
Identifies Hidden divergences (labeled as “H Bull” and “H Bear”) for potential trend continuation opportunities.
4. Customizable Labels:
Displays divergence labels directly on the chart.
Labels can be toggled on or off for better chart visibility.
5. Alerts:
Predefined alerts for both regular and hidden divergences to notify users in real time.
6. Fully Customizable:
Adjust RSI period, lookback settings, divergence ranges, and visibility preferences.
Colors and styles are easily configurable to match your trading style.
How to Use:
RSI Zones: Use RSI and its zones to identify overbought/oversold conditions.
EMA: Look for crossovers or confluence with divergences for confirmation.
Divergences: Monitor for “Bull,” “Bear,” “H Bull,” or “H Bear” labels to spot key reversal or continuation signals.
Alerts: Set alerts to be notified of divergence opportunities without constant chart monitoring.
Multi-Divergence Buy/Sell IndicatorThe "Multi-Divergence Buy/Sell Indicator" is a technical analysis tool that combines multiple divergence signals from different indicators to identify potential buy and sell opportunities in the market. Here's a breakdown of how the indicator works and how to use it:
Input Parameters:
RSI Length: Specifies the length of the RSI (Relative Strength Index) calculation.
MACD Short Length: Specifies the short-term length for the MACD (Moving Average Convergence Divergence) calculation.
MACD Long Length: Specifies the long-term length for the MACD calculation.
MACD Signal Smoothing: Specifies the smoothing length for the MACD signal line calculation.
Stochastic Length: Specifies the length of the Stochastic oscillator calculation.
Stochastic Overbought Level: Defines the overbought level for the Stochastic oscillator.
Stochastic Oversold Level: Defines the oversold level for the Stochastic oscillator.
Calculation of Indicators:
RSI: Calculates the RSI based on the specified RSI Length.
MACD: Calculates the MACD line, signal line, and histogram based on the specified MACD parameters.
Stochastic: Calculates the Stochastic oscillator based on the specified Stochastic parameters.
Divergence Detection:
RSI Divergence: Identifies a bullish divergence when the RSI crosses above its 14-period simple moving average (SMA).
MACD Divergence: Identifies a bullish divergence when the MACD line crosses above the signal line.
Stochastic Divergence: Identifies a bullish divergence when the Stochastic crosses above its 14-period SMA.
Buy and Sell Conditions:
Buy Condition: Triggers a buy signal when all three divergences (RSI, MACD, and Stochastic) occur simultaneously.
Sell Condition: Triggers a sell signal when both RSI and MACD divergences occur, but Stochastic divergence does not occur.
Plotting Buy/Sell Signals:
The indicator plots green "Buy" labels below the price bars when the buy condition is met.
It plots red "Sell" labels above the price bars when the sell condition is met.
Usage:
The indicator can be used on any timeframe and for any trading instrument.
Look for areas where all three divergences (RSI, MACD, and Stochastic) align to generate stronger buy and sell signals.
Consider additional technical analysis and risk management strategies to validate the signals and manage your trades effectively.
Remember, no indicator guarantees profitable trades, so it's essential to use this indicator in conjunction with other tools and perform thorough analysis before making trading decisions.
Feel free to ask any questions
Dskyz (DAFE) Aurora Divergence – Quant Master Dskyz (DAFE) Aurora Divergence – Quant Master
Introducing the Dskyz (DAFE) Aurora Divergence – Quant Master , a strategy that’s your secret weapon for mastering futures markets like MNQ, NQ, MES, and ES. Born from the legendary Aurora Divergence indicator, this fully automated system transforms raw divergence signals into a quant-grade trading machine, blending precision, risk management, and cyberpunk DAFE visuals that make your charts glow like a neon skyline. Crafted with care and driven by community passion, this strategy stands out in a sea of generic scripts, offering traders a unique edge to outsmart institutional traps and navigate volatile markets.
The Aurora Divergence indicator was a cult favorite for spotting price-OBV divergences with its aqua and fuchsia orbs, but traders craved a system to act on those signals with discipline and automation. This strategy delivers, layering advanced filters (z-score, ATR, multi-timeframe, session), dynamic risk controls (kill switches, adaptive stops/TPs), and a real-time dashboard to turn insights into profits. Whether you’re a newbie dipping into futures or a pro hunting reversals, this strat’s got your back with a beginner guide, alerts, and visuals that make trading feel like a sci-fi mission. Let’s dive into every detail and see why this original DAFE creation is a must-have.
Why Traders Need This Strategy
Futures markets are a battlefield—fast-paced, volatile, and riddled with institutional games that can wipe out undisciplined traders. From the April 28, 2025 NQ 1k-point drop to sneaky ES slippage, the stakes are high. Meanwhile, platforms are flooded with unoriginal, low-effort scripts that promise the moon but deliver noise. The Aurora Divergence – Quant Master rises above, offering:
Unmatched Originality: A bespoke system built from the ground up, with custom divergence logic, DAFE visuals, and quant filters that set it apart from copycat clutter.
Automation with Precision: Executes trades on divergence signals, eliminating emotional slip-ups and ensuring consistency, even in chaotic sessions.
Quant-Grade Filters: Z-score, ATR, multi-timeframe, and session checks filter out noise, targeting high-probability reversals.
Robust Risk Management: Daily loss and rolling drawdown kill switches, plus ATR-based stops/TPs, protect your capital like a fortress.
Stunning DAFE Visuals: Aqua/fuchsia orbs, aurora bands, and a glowing dashboard make signals intuitive and charts a work of art.
Community-Driven: Evolved from trader feedback, this strat’s a labor of love, not a recycled knockoff.
Traders need this because it’s a complete, original system that blends accessibility, sophistication, and style. It’s your edge to trade smarter, not harder, in a market full of traps and imitators.
1. Divergence Detection (Core Signal Logic)
The strategy’s core is its ability to detect bullish and bearish divergences between price and On-Balance Volume (OBV), pinpointing reversals with surgical accuracy.
How It Works:
Price Slope: Uses linear regression over a lookback (default: 9 bars) to measure price momentum (priceSlope).
OBV Slope: OBV tracks volume flow (+volume if price rises, -volume if falls), with its slope calculated similarly (obvSlope).
Bullish Divergence: Price slope negative (falling), OBV slope positive (rising), and price above 50-bar SMA (trend_ma).
Bearish Divergence: Price slope positive (rising), OBV slope negative (falling), and price below 50-bar SMA.
Smoothing: Requires two consecutive divergence bars (bullDiv2, bearDiv2) to confirm signals, reducing false positives.
Strength: Divergence intensity (divStrength = |priceSlope * obvSlope| * sensitivity) is normalized (0–1, divStrengthNorm) for visuals.
Why It’s Brilliant:
- Divergences catch hidden momentum shifts, often exploited by institutions, giving you an edge on reversals.
- The 50-bar SMA filter aligns signals with the broader trend, avoiding choppy markets.
- Adjustable lookback (min: 3) and sensitivity (default: 1.0) let you tune for different instruments or timeframes.
2. Filters for Precision
Four advanced filters ensure signals are high-probability and market-aligned, cutting through the noise of volatile futures.
Z-Score Filter:
Logic: Calculates z-score ((close - SMA) / stdev) over a lookback (default: 50 bars). Blocks entries if |z-score| > threshold (default: 1.5) unless disabled (useZFilter = false).
Impact: Avoids trades during extreme price moves (e.g., blow-off tops), keeping you in statistically safe zones.
ATR Percentile Volatility Filter:
Logic: Tracks 14-bar ATR in a 100-bar window (default). Requires current ATR > 80th percentile (percATR) to trade (tradeOk).
Impact: Ensures sufficient volatility for meaningful moves, filtering out low-volume chop.
Multi-Timeframe (HTF) Trend Filter:
Logic: Uses a 50-bar SMA on a higher timeframe (default: 60min). Longs require price > HTF MA (bullTrendOK), shorts < HTF MA (bearTrendOK).
Impact: Aligns trades with the bigger trend, reducing counter-trend losses.
US Session Filter:
Logic: Restricts trading to 9:30am–4:00pm ET (default: enabled, useSession = true) using America/New_York timezone.
Impact: Focuses on high-liquidity hours, avoiding overnight spreads and erratic moves.
Evolution:
- These filters create a robust signal pipeline, ensuring trades are timed for optimal conditions.
- Customizable inputs (e.g., zThreshold, atrPercentile) let traders adapt to their style without compromising quality.
3. Risk Management
The strategy’s risk controls are a masterclass in balancing aggression and safety, protecting capital in volatile markets.
Daily Loss Kill Switch:
Logic: Tracks daily loss (dayStartEquity - strategy.equity). Halts trading if loss ≥ $300 (default) and enabled (killSwitch = true, killSwitchActive).
Impact: Caps daily downside, crucial during events like April 27, 2025 ES slippage.
Rolling Drawdown Kill Switch:
Logic: Monitors drawdown (rollingPeak - strategy.equity) over 100 bars (default). Stops trading if > $1000 (rollingKill).
Impact: Prevents prolonged losing streaks, preserving capital for better setups.
Dynamic Stop-Loss and Take-Profit:
Logic: Stops = entry ± ATR * multiplier (default: 1.0x, stopDist). TPs = entry ± ATR * 1.5x (profitDist). Longs: stop below, TP above; shorts: vice versa.
Impact: Adapts to volatility, keeping stops tight but realistic, with TPs targeting 1.5:1 reward/risk.
Max Bars in Trade:
Logic: Closes trades after 8 bars (default) if not already exited.
Impact: Frees capital from stagnant trades, maintaining efficiency.
Kill Switch Buffer Dashboard:
Logic: Shows smallest buffer ($300 - daily loss or $1000 - rolling DD). Displays 0 (red) if kill switch active, else buffer (green).
Impact: Real-time risk visibility, letting traders adjust dynamically.
Why It’s Brilliant:
- Kill switches and ATR-based exits create a safety net, rare in generic scripts.
- Customizable risk inputs (maxDailyLoss, dynamicStopMult) suit different account sizes.
- Buffer metric empowers disciplined trading, a DAFE signature.
4. Trade Entry and Exit Logic
The entry/exit rules are precise, filtered, and adaptive, ensuring trades are deliberate and profitable.
Entry Conditions:
Long Entry: bullDiv2, cooldown passed (canSignal), ATR filter passed (tradeOk), in US session (inSession), no kill switches (not killSwitchActive, not rollingKill), z-score OK (zOk), HTF trend bullish (bullTrendOK), no existing long (lastDirection != 1, position_size <= 0). Closes shorts first.
Short Entry: Same, but for bearDiv2, bearTrendOK, no long (lastDirection != -1, position_size >= 0). Closes longs first.
Adaptive Cooldown: Default 2 bars (cooldownBars). Doubles (up to 10) after a losing trade, resets after wins (dynamicCooldown).
Exit Conditions:
Stop-Loss/Take-Profit: Set per trade (ATR-based). Exits on stop/TP hits.
Other Exits: Closes if maxBarsInTrade reached, ATR filter fails, or kill switch activates.
Position Management: Ensures no conflicting positions, closing opposites before new entries.
Built To Be Reliable and Consistent:
- Multi-filtered entries minimize false signals, a stark contrast to basic scripts.
- Adaptive cooldown prevents overtrading, especially after losses.
- Clean position handling ensures smooth execution, even in fast markets.
5. DAFE Visuals
The visuals are a DAFE hallmark, blending function with clean flair to make signals intuitive and charts stunning.
Aurora Bands:
Display: Bands around price during divergences (bullish: below low, bearish: above high), sized by ATR * bandwidth (default: 0.5).
Colors: Aqua (bullish), fuchsia (bearish), with transparency tied to divStrengthNorm.
Purpose: Highlights divergence zones with a glowing, futuristic vibe.
Divergence Orbs:
Display: Large/small circles (aqua below for bullish, fuchsia above for bearish) when bullDiv2/bearDiv2 and canSignal. Labels show strength (0–1).
Purpose: Pinpoints entries with eye-catching clarity.
Gradient Background:
Display: Green (bullish), red (bearish), or gray (neutral), 90–95% transparent.
Purpose: Sets the market mood without clutter.
Strategy Plots:
- Stop/TP Lines: Red (stops), green (TPs) for active trades.
- HTF MA: Yellow line for trend context.
- Z-Score: Blue step-line (if enabled).
- Kill Switch Warning: Red background flash when active.
What Makes This Next-Level?:
- Visuals make complex signals (divergences, filters) instantly clear, even for beginners.
- DAFE’s unique aesthetic (orbs, bands) sets it apart from generic scripts, reinforcing originality.
- Functional plots (stops, TPs) enhance trade management.
6. Metrics Dashboard
The top-right dashboard (2x8 table) is your command center, delivering real-time insights.
Metrics:
Daily Loss ($): Current loss vs. day’s start, red if > $300.
Rolling DD ($): Drawdown vs. 100-bar peak, red if > $1000.
ATR Threshold: Current percATR, green if ATR exceeds, red if not.
Z-Score: Current value, green if within threshold, red if not.
Signal: “Bullish Div” (aqua), “Bearish Div” (fuchsia), or “None” (gray).
Action: “Consider Buying”/“Consider Selling” (signal color) or “Wait” (gray).
Kill Switch Buffer ($): Smallest buffer to kill switch, green if > 0, red if 0.
Why This Is Important?:
- Consolidates critical data, making decisions effortless.
- Color-coded metrics guide beginners (e.g., green action = go).
- Buffer metric adds transparency, rare in off-the-shelf scripts.
7. Beginner Guide
Beginner Guide: Middle-right table (shown once on chart load), explains aqua orbs (bullish, buy) and fuchsia orbs (bearish, sell).
Key Features:
Futures-Optimized: Tailored for MNQ, NQ, MES, ES with point-value adjustments.
Highly Customizable: Inputs for lookback, sensitivity, filters, and risk settings.
Real-Time Insights: Dashboard and visuals update every bar.
Backtest-Ready: Fixed qty and tick calc for accurate historical testing.
User-Friendly: Guide, visuals, and dashboard make it accessible yet powerful.
Original Design: DAFE’s unique logic and visuals stand out from generic scripts.
How to Use
Add to Chart: Load on a 5min MNQ/ES chart in TradingView.
Configure Inputs: Adjust instrument, filters, or risk (defaults optimized for MNQ).
Monitor Dashboard: Watch signals, actions, and risk metrics (top-right).
Backtest: Run in strategy tester to evaluate performance.
Live Trade: Connect to a broker (e.g., Tradovate) for automation. Watch for slippage (e.g., April 27, 2025 ES issues).
Replay Test: Use bar replay (e.g., April 28, 2025 NQ drop) to test volatility handling.
Disclaimer
Trading futures involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Backtest results may not reflect live trading due to slippage, fees, or market conditions. Use this strategy at your own risk, and consult a financial advisor before trading. Dskyz (DAFE) Trading Systems is not responsible for any losses incurred.
Backtesting:
Frame: 2023-09-20 - 2025-04-29
Fee Typical Range (per side, per contract)
CME Exchange $1.14 – $1.20
Clearing $0.10 – $0.30
NFA Regulatory $0.02
Firm/Broker Commis. $0.25 – $0.80 (retail prop)
TOTAL $1.60 – $2.30 per side
Round Turn: (enter+exit) = $3.20 – $4.60 per contract
Final Notes
The Dskyz (DAFE) Aurora Divergence – Quant Master isn’t just a strategy—it’s a movement. Crafted with originality and driven by community passion, it rises above the flood of generic scripts to deliver a system that’s as powerful as it is beautiful. With its quant-grade logic, DAFE visuals, and robust risk controls, it empowers traders to tackle futures with confidence and style. Join the DAFE crew, light up your charts, and let’s outsmart the markets together!
(This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.)
Use it with discipline. Use it with clarity. Trade smarter.
**I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract.
Created by Dskyz, powered by DAFE Trading Systems. Trade fast, trade bold.
Fisher+ [OSC]The Fisher Transform Indicator is classified as an oscillator, meaning that its value swings above and below a central point. This characteristic allows traders to identify overbought and oversold conditions, providing potential clues about market reversals. As mentioned previously, it is an oscillator so the strength of the move is displayed by how long the fisher line stays above/below zero. Indicator can be used to aid in confluence near supply/demand zones.
White Line = Fisher
Red/Blue Line = Moving Average
--Changes color whether fisher line is above/below the MA
Red/Blue Shaded Line = Moving Average
--Changes color based on a smoothing factor
Red/Blue Shaded Fill = Asset in Overbought/Oversold Conditions
Red/Blue Circles = Asset in Extreme Overbought/Oversold Conditions
Red/Blue Triangles = MACD Signals Below/Above "0"
Divergence Labels = Asset Signaling Divergence
The moving average line will turn red/blue as long as the fisher line is below/above the moving average. The shaded MA line will switch colors based on if it is moving in an up/down trend. The MA can also be used as a signal and treated similar to an oscillator. Market trending conditions will either keep the MA below/above the dashed zero line.
MACD code credited to LazyBear's MACD Leader indicator. It is used to filter out/confirm any signals such as divergences. As long as the MACD Leader line is above both the MACD line and signal lines then it'll signal with with a triangle. MACD divergences will be added at a later time.
Cumulative Volume Delta with Divergence🧠 Core Functionality:
1. Cumulative Volume Delta (CVD):
Purpose: Visualizes the difference between buying and selling pressure over time.
Mechanism:
It uses lower-timeframe volume delta data, retrieved from ta.requestVolumeDelta(), to build a candle-style visualization of the net volume movement.
Plotted candles show whether buying (up volume) or selling (down volume) was dominant within each period.
Teal candles: More buying than selling (CVD up).
Red candles: More selling than buying (CVD down).
Volume Source: Based on intrabar up/down volume approximation from lower timeframes.
🧭 Divergence Detection (New Feature):
2. Regular Bullish Divergence:
Condition:
Price makes a lower low.
CVD (lastVolume) makes a higher low.
Interpretation: Selling pressure is weakening despite price making new lows — a potential reversal signal to the upside.
Displayed As:
Green line and label "Bull" under the CVD at the divergence point.
3. Regular Bearish Divergence:
Condition:
Price makes a higher high.
CVD makes a lower high.
Interpretation: Buying pressure is fading despite price rising — a potential reversal signal to the downside.
Displayed As:
Red line and label "Bear" above the CVD at the divergence point.
🧰 User Controls:
Use custom timeframe: Overrides default volume delta resolution for finer or broader analysis.
Calculate Divergence: Turns the divergence detection on or off.
Adjustable via script inputs.
🔔 Alerts:
Two alert conditions are included:
One for bullish divergence.
One for bearish divergence.
Alerts trigger at the bar where the divergence is confirmed, not where it starts.
📈 Use Case:
This tool is ideal for traders looking to:
Spot early reversals or momentum shifts.
Combine volume analysis with price action.
Time entries or exits more accurately using volume-confirmed divergence.
Delta Candle ColorsThe Delta Divergences indicator provides a visual representation of volume delta, which measures the difference between buying pressure and selling pressure within a candle. This is achieved by using intrabar (lower timeframe) volume and price fluctuations to estimate the delta between buying and selling pressure within each bar.
By color-coding candles based on this volume delta, traders can gain insight into the strength behind price movements and spot potential divergences. When a candle closes positively (higher than the previous close) but the volume delta is negative (more selling than buying), or when a candle closes negatively with a positive delta (more buying than selling), it indicates a divergence. These divergences can signal potential trend exhaustion or possible reversals.
The indicator includes custom alerts that notify the trader when these divergences occur:
Positive close with negative delta: Signals that the price is rising, but selling pressure is higher.
Negative close with positive delta: Signals that the price is falling, but buying pressure is higher.
In addition to color-coding candles based on delta, the indicator provides an option to display delta labels directly on the chart for each candle.
Finally, the option to only show divergences can be turned on. When enabled, non-divergent candles are colored normally, while only candles with delta divergences are highlighted, allowing traders to focus on the most relevant market information.
Trampoline DotsTrampoline Dots (Price Divergence)
Higher Time Frame Price Divergence:
Trampoline Dots serve as a "quick bounce" tool. These little dots will trigger whenever the higher aggregation MACD is above / below zero and the price is below / above the 50 period simple moving average. When these criteria are met, the price is usually under pressure of strong divergence, more often than not price will sharply reverse into the trend direction usually within the next few bars.
The Use of The Trampoline Dots:
This indicator can serve multiple ways. Obviously the main use case is the price divergence. These "dots" will not give you any precise & exact entry. But rather a zone of possible incoming reversal. There is no timing to it. All these dots will do is warn you about potential sharp reversal in the upcoming bars. It can be used by itself alone for sure, but the best way to utilize the dots is to use them in combination of other trend or momentum studies. The best signals are the ones that are within the larger time frame trend. Another great thing is that the visuals are really straight-forward and simple. It is either green dot or a red dot. Nothing more, nothing less. Also since the indicator is pretty small, it can be easily layered onto other studies as well which can create an additional confirmation for different patterns or setups.
Which Time Frame Are Reliable?
This indicator works on any time frame. But the most "stable" one is the daily & hourly time frame. My personal favorite is the hourly since these divergences can produce amazing entries in the daily trends (which are usually hidden on the daily chart). In the most aggresive trends, I like to see the green dots triggering around the 8 EMA and 13 EMA. Daily chart can show the daily and weekly (big divergences) that can take multiple days & weeks to resolve.
Hope it helps.
Cheat Code's RedemptionWELCOME TO THE CHEAT CODE REDEMPTION PACK!!!!
I want to take a deep dive into what this indicator consists of and how you can use it to improve your trading strategy.
-What does the CCR consist of?
The Oscillator:
The oscillator is a combination of a true strength index sampled from on-balance volume and a regular RSI at default settings. The reason I added the on-balance volume is that it does not tend to remain at overbought or oversold conditions as traditional momentum oscillators do.
The Histogram:
The histogram is copied to a tee from the MACD histogram, the only difference here is that I extended the moving averages to depict a special pairing; the ema55 slow and ema21 fast. I then converted it into another true strength index, as the calculations fit all time frames.
The Divergences:
The divergences of an indicator can be extremely useful in catching scalp opportunities, a DARK RED/GREEN represents a REGULAR divergence, while a SALMON/LIGHT GREEN color represents a HIDDEN divergence.
The moving average:
The moving average built into this indicator is depicted as an aqua or yellow line, when the oscillator is moving in an uptrend, the moving average will appear aqua, when the oscillator is in a downtrend it will appear yellow. Use this as confirmation bias or as the third derivative of market position.
Oscillator Colors:
The Oscillator color is an important thesis of this indicator. When the line is green, it means the market is effectively in an uptrend, when it is red, it means the market is in a downtrend. Use this to prevent longing in a serious downtrend and vice versa.
If you have any questions regarding the indicator(s), feel free to reach out to me in the comments or through Direct Message!!!
Safe Trading, Don't get Rekt
- CheatCode1 <3
Smart RSI Divergence PRO | Auto Lines + Alerts📌 Purpose
This indicator automatically detects Regular and Hidden RSI Divergences between price action and the RSI oscillator.
It plots divergence lines directly on the chart, labels signals, and includes alerts for automated monitoring.
🧠 How It Works
1. RSI Calculation
RSI is calculated using the selected Source (default: Close) and RSI Length (default: 14).
2. Divergence Detection via Fractals
Swing points on both price and RSI are detected using fractal logic (5-bar patterns).
Regular Divergence:
Bearish: Price forms a higher high, RSI forms a lower high.
Bullish: Price forms a lower low, RSI forms a higher low.
Hidden Divergence:
Bearish: Price forms a lower high, RSI forms a higher high.
Bullish: Price forms a higher low, RSI forms a lower low.
3. Auto Drawing Lines
Lines are drawn automatically between divergence points:
Red = Regular Bearish
Green = Regular Bullish
Orange = Hidden Bearish
Blue = Hidden Bullish
Line width and transparency are adjustable.
4. Labels and Alerts
Labels mark divergence points with up/down arrows.
Alerts trigger for each divergence type.
📈 How to Use
Use Regular Divergences to anticipate trend reversals.
Use Hidden Divergences to confirm trend continuation.
Combine with support/resistance, trendlines, or volume for higher probability setups.
Recommended Timeframes: Works on all timeframes; more reliable on 1h, 4h, and Daily.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
Source (Close, HL2, etc.)
RSI Length
Toggle Regular / Hidden Divergence visibility
Toggle Lines / Labels
Line Width & Line Transparency
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before using in live trading.
Potential Divergence Checker#### Key Features
1. Potential Divergence Signals:
Potential divergences can signal a change in price movement before it occurs. This indicator identifies potential divergences instead of waiting for full confirmation, allowing it to detect signs of divergence earlier than traditional methods. This provides more flexible entry points and can act as a broader filter for potential setups.
2. Exposing Signals for External Use:
One of its advanced features is the ability to expose signals for use in other scripts. This allows users to integrate divergence signals and related entry/exit points into custom strategies or automated systems.
3. Custom Entry/Exit Timing Based on Years and Days:
The indicator provides entry and exit signals based on years and days, which could be useful for time-specific market behavior, long-term trades, and back testing.
#### Basic Usage
This indicator can check for all types of potential divergences: bullish, hidden bullish, bearish, hidden bearish. All you need to do is choose the type you want to check for under “DIVERGENCE TYPE” in the settings. On the chart, potential bullish divergences will show up as triangles below the price candles. one the chart potential bearish divergences will show up as upside down triangles above the price candles
#### Signals for Advanced Usage
You can use this indicator as a source in other indicators or strategies using the following information:
“ PD: Bull divergence signal ” will return “1” when a divergence is present and “0” when not present
“ PD: HBull divergence(hidden bull) signal ” will return “1” when a divergence is present and “0” when not present
“ PD: Bear divergence signal ” will return “1” when a divergence is present and “0” when not present
“ PD: HBear divergence(hidden bear) signal ” will return “1” when a divergence is present and “0” when not present
“ PD: enter ” signal will return a “1” when both the days and years criteria in the “entry filter settings” are met and “0” when not met.
“ PD: exit ” signal will return a “1” when the days criteria in the “exit filter settings” are met and “0” when not met.
#### Examples of Using Signals
1. If you are testing a long strategy for Bitcoin and do not want it to run during bear market years(e.g., the second year after a US presidential election), you can enable the “year and day filter for entry,” uncheck the following years in the settings: 2010, 2014, 2018, 2022, 2026, and reference the signal below in our strategy
signal: “ PD: enter ”
2. Let’s say you have a good long strategy, but want to make it a bit more profitable, you can tell the strategy not to run on days where there is potential bearish divergence and have it only run on more profitable days using these signals and the appropriate settings in the indicator
signal: “ PD: Bear divergence signal ” will return a ‘0’ with no bearish divergence present
signal: “ PD: enter ” will return a “1” if the entry falls on a specific, more profitable day chosen in the settings
#### Disclaimer
The "Potential Divergence Checker" indicator is a tool designed to identify potential market signals. It may have bugs and not do what it should do. It is not a guarantee of future trading performance, and users should exercise caution when making trading decisions based on its outputs. Always perform your own research and consider consulting with a financial advisor before making any investment decisions. Trading involves significant risk, and past performance is not indicative of future results.
Multi-Asset Cross Timeframe Divergence Ind. (MACDI) // AlgoFyreThe Multi-Asset Cross Timeframe Divergence Indicator (MACDI) identifies divergences in momentum like RSI across multiple assets and timeframes. It visually highlights lagging correlated asset momentum divergences, helping traders spot inefficiencies and potential trade opportunities in the following asset.
🔶 KEY FEATURES
🔸Average Momentum Trendline for Each Timeframe
The Average Momentum Trendline feature calculates the average momentum of multiple assets over specified timeframes. It uses smoothed values to determine the momentum trend for each timeframe on the average aggregated momentum of both assets. This trendline helps traders identify the overall direction of the market momentum, providing a clearer picture of potential price movements.
🔸Real-time Divergence Indication and Alert Table
The Real-time Divergence Indications and Alert Table feature visualizes detected divergences between the momentum values of the two assets across different timeframes. It identifies both bullish and bearish divergences, signaling lagging reversals in the the following asset and potential trading opportunities. When a divergence is detected, the system generates real-time visual indications on the chart and in an overview table for traders to act promptly. The alert table provides a comprehensive overview of all detected divergences, making it easier for traders to monitor and respond to market changes.
🔸Color and Size Based Labels on Price Chart based on Divergence Type
The Color and Size Based Labels feature visually represents divergences directly on the price chart. Bullish and bearish divergences are marked with distinct colors and sizes, making them easily identifiable at a glance. Larger labels indicate higher timeframes and thus generally more significance.
🔶 INSTRUCTION GUIDELINES
🔸Identify Divergence Clusters
The more divergences align, the higher the probability of a potential trend reversal in the asset. When multiple multi-timeframe divergences occur in both lower and higher timeframes within a local cluster, the probability of a reversal increases. This is valid for both for bullish and bearish divergences.
🔸Spot Low Probability Divergences
To further increase the probability, analyze the current state of the average momentum trendline. For a bullish reversal, a relatively low level of the average momentum trendline is preferred, whereas for a bearish reversal, a relatively high level is preferred.
🔶 INDIVIDUAL CONFIGURATION
🔸Leading Asset
This input allows the user to select the leading asset for the divergence analysis.
🔸Following Asset
This input allows the user to select the following asset for the divergence analysis.
🔸Higher Timeframe
This input sets the higher timeframe for the analysis.
🔸Lower Timeframe
This input sets the lower timeframe for the analysis.
🔸Show RSI Divergence
This input enables or disables the display of RSI divergence signals.
🔸RSI Length
This input sets the length of the RSI calculation.
🔸RSI Source
This input sets the source data for the RSI calculation (e.g., close price).
🔸RSI Smoothing Length
This input sets the length of the smoothing applied to the RSI values.
🔸Smoothing Method
This input sets the method used for smoothing the RSI values.
🔶 CONCLUSION
The Multi-Asset Cross Timeframe Divergence Indicator (MACDI) is a powerful tool for identifying momentum divergences across multiple assets and timeframes. Its visual cues and customizable table make it easy to use and interpret, providing valuable insights for trading decisions.
