Dr. Mahdi Kazempour - Crypto Trade Dashboard and Indicator PanelA great panel for crypto traders all in one table:
Price, Volume, RSI, MACD, ADI, MOM
1) current symbol
2) BTCUSDT
3) NASDAQ
4) ETHUSDT
5) TOTAL2
在腳本中搜尋"京沪高铁当前技术面分析（支撑位、压力位、RSI、MACD等指标）"
INDIGO - SwingTraderThis is a script that uses a couple of other indicators to find good swing trade entry's and exit's. You can choose which signals the script uses to calculate the position of the signals.
It uses the following:
- Stoch RSI
- MACD
- POC
- INDIGO Cloud
Also added are volume candles, acceleration of momentum indicators (triangle) and MACD candles. This way you can see more info to decide if the entry is valid.
I have used a couple of public scripts and tried to give credit to the original creators. If there is any script that hasn't been credited, please contact me.
Feedback is very much appreciated, positive and negative. Also If you have any question, feel free to ask me. I'll try to answer asap.
Enjoy the script :)
Divergence for Many Indicators v4Hello Traders,
Here is my new year gift for the community, Digergence for Many Indicators v4 . I tried to make it modular and readable as much as I can. Thanks to Pine Team for improving Pine Platform all the time!
How it works?
- On each candle it checks divergences between current and any of last 16 Pivot Points for the indicators.
- it search divergence on choisen indicators => RSI , MACD , MACD Histogram, Stochastic , CCI , Momentum, OBV, VWMACD, CMF and any External Indicator !
- it checks following divergences for 16 pivot points that is in last 100 bars for each Indicator.
--> Regular Positive Digergences
--> Regular Negative Digergences
--> Hidden Positive Digergences
--> Hidden Negative Digergences
- for positive divergences first it checks if closing price is higher than last closing price and indicator value is higher than perious value, then start searching divergence
- for negative divergences first it checks if closing price is lower than last closing price and indicator value is lower than perious value, then start searching divergence
Some Options:
Pivot Period: you set Pivot Period as you wish. you can see Pivot Points using "Show Pivot Points" option
Source for Pivot Points: you can use Close or High/Low as source
Divergence Type: you can choose Divergence type to be shown => "Regular", "Hidden", "Regular/Hidden"
Show Indicator Names: you have different options to show indicator names => "Full", "First Letter", "Don't Show"
Show Divergence Number: option to see number of indicators which has Divergence
Show Only Last Divergence : if you enable this option then it shows only last Positive and Negative Divergences
you can include any External Indicator to see if there is divergence
- enable "Check External Indicator"
- and then choose External indicator name in the list, "External Indicator"
- External indicator name is shown as Extrn
- related external indicator must be added before enabling this option
Coloring, line width and line style options for different type of divergences.
Following Alerts added:
- Positive Regular Divergence Detected
- Negative Regular Divergence Detected
- Positive Hidden Divergence Detected
- Negative Hidden Divergence Detected
Now lets see some examples:
Hidden Divergences:
Regular and Hidden Divergences together:
Showing first letters of indicators:
You can see only the number of indicators which has divergence:
You can see only divergence lines without indicators names and numbers:
option to used different label/line/text colors:
You have option to see only last divergences:
You can change Pivot Period, in following example Pivot Period = 15:
You can use Close or High/Low as Source for Divergence
You can include external indicators and get divergences on it:
Wish you all a happy new year!
Enjoy!
Divergence Histogram for Many IndicatorHello Traders,
This script analyses divergences for 11 predefined indicators and then draws column on the graph. Red columns for negatif divergence (means prices may go down or trend reversal), Lime columns for positive divergences (means prices may go up or trend reversal)
The script uses Pivot Points and on each bar it checks divergence between last Pivot Point and current High/Low and if it finds any divergence then immediately draws column. There is no Latency/Lag.
There are predefined 11 indicators in the script, which are RSI , MACD , MACD Histogram, Stochastic , CCI , Momentum, OBV, Diosc, VWMACD, CMF and MFI.
Smaller Pivot Point Period check smaller areas and if you use smaller numbers it would be more sensitive and may give alerts very often. So you should set it accordingly.
There is "Check Cut-Through in indicators" option, I recomment you to enable it. it checks that there is cut-through in indicators or not, if no cut-through then it's shown as valid divergence.
You should see following one as well if you haven't yet:
Enjoy!
Divergence for many indicator v3Hello Everyone. Almost one year later, with Pine version 4, I developed new version of the Divergence for many Indicator.
It analyses divergences for 10 predefined indicators and then draws line on the graph. Red for negatif divergence (means prices may go down or trend reversal), Lime for positive divergences (means prices may go up or trend reversal)
Divergences version 2 has latency because it waits higher time frame completion. in this new version the script uses Pivot Points and on every bar it checks divergence between last Pivot point and current bar and if it finds any then immediately draws line and removes old one. so there is no latency with this version.
There are predefined 10 indicators in the script, you have option to choose which indicators the script would analyse for divergence. (RSI , MACD , MACD Histogram, Stochastic , CCI , Momentum, OBV, Diosc, VWMACD and CMF)
In replay mode you can see how the script puts new divergence line and removes old one. you better see it for yourself by using replay mode.
Hope you Enjoy!
ANN MACD BTC v2.0 This script is the 2nd version of the BTC Deep Learning (ANN) system.
Created with the following indicators and tools:
RSI
MACD
MOM
Bollinger Bands
Guppy Exponential Moving Averages:
(3,5,8,10,12,15,30,35,40,45,50,60)
Note: I was inspired by the CM Guppy Ema script.
Thank you very much to dear wroclai for his great help.
He has been a big help in the deep learning series.
That's why the licenses in this series are for both of us.
I'm sharing these series and thats the first. Stay tuned and regards!
Note : Alerts added.
Divergences for many indicators v2.0A gift from me to all.
This script is developed to find Divergences for many indicators. it analyses divergences and then draws line on the graph. red for negatif, lime for positive divergences.
Currently script checks divergence for RSI, MACD, MACD Histogram, Stochastic, CCI, Momentum, OBV, Diosc, VWMACD and CMF indicators. You can use some or all of these indicators to check divergences as you wish by choosing them on the menu. Also you can add/remove many other indicators to the script to check if there is divergence.
The script first calculates tops/bottoms by using higher time frame zig zag and then finds divergences.
Higher Time Frames are
if currend period 1 min => HTF = 5 mins
if currend period 3 mins => HTF = 15 mins
if currend period 5 mins => HTF = 15 mins
if currend period 15 mins => HTF = 1 hour
if currend period 30 mins => HTF = 1 hour
if currend period 45 mins => HTF = 1 hour
if currend period 1 hour => HTF = 4 hours
if currend period 2 hours => HTF = 4 hours
if currend period 3 hours => HTF = 4 hours
if currend period 4 hours => HTF = 1 day
if currend period 1 day => HTF = 1 week
if currend period 1 week => HTF = 1 week
future plan : script finds regular divergences, soon I will add hidden divergences and also I plan to add alert ;)
Divergence/Convergence v1.0 [LonesomeTheBlue]The script is developed to find Divergence/Convergence for various indicators
it counts number of Divergence/Convergence and draws arrow
Arrow length changes according to number of Divergence/Convergence
that means if there is Divergence/Convergence on one indicator then arrow length = 1
if there is Divergence/Convergence on two indicator then arrow length = 2 etc.
Currently script checks Divergence/Convergence for RSI, MACD, MACD Histogram, Momentum, CMF indicators
You can add/remove many other indicators to check if there is Divergence/Convergence
Price Divergence Detector V3 revised by JustUncleLThis is a revised version of the original "Price Divergence Detector by RicardoSantos".
Description:
Price Divergence detection for various methods : RSI, MACD, STOCH, VOLUME, ACC-DIST, FISHER, CCI, BB %B and Ehlers IdealRSI. Both Hidden and Regular Divergences are detected.
Mofidifications:
Revision 3.0 by JustUncleL
Added option to disable/enable Hidden and Regular Divergence
Added new divergence method BB %B (close only)
Added new divergence mothos Ehlers IdealRSI (close only)
Revision 2.0 - by RicardoSantos
References:
Information on Divergence Trading:
www.babypips.com
www.incrediblecharts.com (BB %B)
Insync Index [LazyBear]BB Support + Histo mode
-------------------------------
Code: pastebin.com
Show enclosing BB
Show Insync as Histo:
v02 - Configurable levels
---------------------------------
Small update to allow configuring the 95/75/25/5 levels.
Latest source code: pastebin.com
v01 - orginal description
---------------------------------
Insync Index, by Norm North, is a consensus indicator. It uses RSI, MACD, MFI, DPO, ROC, Stoch, CCI and %B to calculate a composite signal. Basically, this index shows that when a majority of underlying indicators is in sync, a turning point is near.
There are couple of ways to use this indicator.
- Buy when crossing up 5, sell when crossing down 95.
- Market is typically bullish when index is above 50, bearish when below 50. This can be a great confirmation signal for price action + trend lines.
Also, since this is typical oscillator, look for divergences between price and index.
Levels 75/25 are early warning levels. Note that, index > 75 (and less than 95) should be considered very bullish and index below 25 (but above 5) as very bearish. Levels 95/5 are equivalent to traditional OB/OS levels.
The various values of the underlying components can be tuned via options page. I have also provided an option to color bars based on the index value.
More info: The Insync Index by Norm North, TASC Jan 1995
drive.google.com
List of my free indicators: bit.ly
List of my app-store indicators: blog.tradingview.com
(Support doc: bit.ly)
Short-Term Holder MVRVThis script calculates and visualizes the Market Value to Realized Value (MVRV) ratio for Bitcoin, specifically focusing on short-term holders (STH). The MVRV ratio is a key on-chain metric that compares Bitcoin's market cap to its realized cap (the aggregate cost basis of all coins). It helps traders identify overbought and oversold conditions in the market.
Key Features
1. Moving Averages (Customizable)
The script allows users to apply different moving averages to smooth the MVRV data:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
SMMA/RMA (Smoothed/Rolling Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume-Weighted Moving Average)
HMA (Hull Moving Average)
2. Core Calculation
Fetches BTC_MVRV data from TradingView's security function.
Computes a moving average (default: 238-period WMA) of the MVRV values.
Calculates the Ratio_MVRV as:
text
Ratio_MVRV = Current MVRV / Moving Average of MVRV
A bullish signal is generated when Ratio_MVRV > 1 (market is heating up).
A bearish signal is generated when Ratio_MVRV < 1 (market is cooling down).
3. Visual Output
Main Plot:
A line chart showing Ratio_MVRV.
Orange when bullish (Ratio_MVRV > 1).
Purple when bearish (Ratio_MVRV < 1).
Horizontal Line:
A dotted white line at 1.0, acting as a threshold.
Table Display:
A small table in the top-right corner showing "↑ Bull" (green) or "↓ Bear" (red) based on the current market state.
4. Alerts
Triggers TradingView alerts when the market state changes between bullish and bearish.
Interpretation & Trading Signals
When Ratio_MVRV > 1 (Bullish):
Suggests Bitcoin is gaining momentum, possibly entering an overbought phase.
Could indicate a good time to hold or accumulate, but extreme highs may signal a potential top.
When Ratio_MVRV < 1 (Bearish):
Suggests Bitcoin is undervalued, possibly in an oversold phase.
Could indicate a buying opportunity, but prolonged lows may signal further downside.
Default Settings & Customization
Length: 238 (adjustable, default based on common long-term trend analysis).
Moving Average Type: WMA (Weighted Moving Average).
Users can modify these settings in the Inputs menu in TradingView.
Use Case
Helps traders identify market cycles by tracking short-term holder behavior.
Works best as a confirmation tool alongside other indicators (e.g., RSI, MACD).
Useful for swing traders and long-term investors looking for trend reversals.
IU Fibonacci Levels For IntradayDESCRIPTION
This indicator draws intraday Fibonacci levels from the opening price of the day using percentage-based retracements. It helps traders identify potential intraday support and resistance zones derived from the day’s opening bias. The levels are dynamically calculated and displayed with optional labels and customizable colors, making it an effective tool for both breakout and mean-reversion intraday strategies.
USER INPUTS
Direction Of The Level
Choose whether to show Upside, Downside, or Both level sets based on your directional bias.
Show Labels of Levels
Option to enable or disable text labels displaying Fibonacci values and prices.
Individual Level Toggles & Colors
You can choose to show or hide each of the following Fibonacci levels and set their respective colors:
* 0.236
* 0.328
* 0.500
* 0.618
* 0.786
* 1.000
INDICATOR LOGIC
On the first bar of the session, the opening price is captured.
Fibonacci levels are then calculated above and below this open using percentage multipliers (for example, day\_open + (day\_open \* 0.236%) for the 0.236 level).
Depending on the selected direction, upside and/or downside levels are plotted.
Filled zones are drawn between levels to visually highlight key price zones.
Optionally, each level can be labeled with its Fibonacci value and price.
WHY IT IS UNIQUE
Unlike traditional swing-based Fibonacci retracements, this tool uses the day’s opening price as an anchor, specifically designed for intraday traders.
Allows traders to quickly visualize micro-support and resistance levels that adapt every day.
Highly customizable and easy to read, with filled level bands for better zone recognition.
Works independently of indicators like RSI, MACD, or moving averages – purely based on price action logic.
HOW USER CAN BENEFIT FROM IT
Spot precise intraday reversal zones or breakout regions.
Combine with price action or volume analysis for smarter entries.
Filter trades by choosing directional bias (Up Site, Down Site, or Both).
Set profit targets or stop-losses based on Fibonacci bands.
Works great for scalpers, day traders, and even short-term swing traders looking to align with opening price momentum.
Disclaimer
This indicator is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
⚡ HMA PowerPlay Strategy ⚡The ⚡ HMA PowerPlay Strategy ⚡ is a highly filtered momentum-based strategy that combines trend-following and volatility breakout logic. It is designed for precision entries during strong directional moves.
**Key Features:**
- Dual HMA filtering (short-term and long-term)
- Strong bullish/bearish candle detection
- ATR-based dynamic stop loss and R-multiple targets
- Volume confirmation filter
- RSI + MACD oscillator conditions for additional confirmation
- Entry checklist panel for transparent signal breakdown
- Oscillator and price panel for deeper context
- Supports both long and short signals
Ideal for traders who want visual clarity, data-backed entries, and structured position management.
Developed and optimized by IMSHAHROKH.
Adaptive Cycle Oscillator with EMADescription of the Adaptive Cycle Oscillator with EMA Pine Script
This Pine Script, titled "Adaptive Cycle Oscillator with EMA", is a custom technical indicator designed for TradingView to help traders analyze market cycles and identify potential buy or sell opportunities. It combines an Adaptive Cycle Oscillator (ACO) with multiple Exponential Moving Averages (EMAs), displayed as colorful, wavy lines, and includes features like buy/sell signals and divergence detection. Below is a beginner-friendly explanation of how the script works, adhering to TradingView's Script Publishing Rules.
What This Indicator Does
The Adaptive Cycle Oscillator with EMA helps you:
Visualize market cycles using an oscillator that adapts to price movements.
Track trends with seven EMAs of different lengths, plotted as a rainbow of wavy lines.
Identify potential buy or sell signals when the oscillator crosses predefined thresholds.
Spot divergences between the oscillator and price to anticipate reversals.
Use customizable settings to adjust the indicator to your trading style.
Note: This is a technical analysis tool and does not guarantee profits. Always combine it with other analysis methods and practice risk management.
Step-by-Step Explanation for New Users
1. Understanding the Indicator
Adaptive Cycle Oscillator (ACO): The ACO analyzes price data (based on high, low, and close prices, or HLC3) to detect market cycles. It smooths price movements to create an oscillator that swings between overbought and oversold levels.
EMAs: Seven EMAs of different lengths are applied to the ACO and scaled based on the market's dominant cycle. These EMAs are plotted as colorful, wavy lines to show trend direction.
Buy/Sell Signals: The script generates signals when the ACO crosses above or below user-defined thresholds, indicating potential entry or exit points.
Divergence Detection: The script identifies bullish or bearish divergences between the ACO and the fastest EMA, which may signal potential reversals.
Visual Style: The indicator uses a rainbow of seven colors (red, orange, yellow, green, blue, indigo, violet) for the EMAs, with wavy lines for a unique visual effect. Static levels (zero, overbought, oversold) are also wavy for consistency.
2. How to Add the Indicator to Your Chart
Open TradingView and load the chart of any asset (e.g., stock, forex, crypto).
Click on the Indicators button at the top of the chart.
Search for "Adaptive Cycle Oscillator with EMA" (or paste the script into TradingView’s Pine Editor if you have access to it).
Click to add the indicator to your chart. It will appear in a separate panel below the price chart.
3. Customizing the Indicator
The script offers several input options to tailor it to your needs:
Base Cycle Length (Default: 20): Sets the initial period for calculating the dominant cycle. Higher values make the indicator slower; lower values make it more sensitive.
Alpha Smoothing (Default: 0.07): Controls how much the ACO smooths price data. Smaller values produce smoother results.
Show Buy/Sell Signals (Default: True): Toggle to display green triangles (buy) and red triangles (sell) on the chart.
Threshold (Default: 0.0): Defines overbought (above threshold) and oversold (below threshold) levels. Adjust to widen or narrow signal zones.
EMA Base Length (Default: 10): Sets the starting length for the fastest EMA. Other EMAs are incrementally longer (12, 14, 16, etc.).
Divergence Lookback (Default: 14): Determines how far back the script looks to detect divergences.
To adjust these:
Right-click the indicator on your chart and select Settings.
Modify the inputs in the pop-up window.
Click OK to apply changes.
4. Reading the Indicator
Oscillator and EMAs: The ACO and seven EMAs are plotted in a separate panel. The EMAs (colored lines) move in a wavy pattern:
Red (fastest) to Violet (slowest) represent different response speeds.
When the faster EMAs (e.g., red, orange) are above slower ones (e.g., blue, violet), it suggests bullish momentum, and vice versa.
Zero Line: A gray wavy line at zero acts as a neutral level. The ACO above zero indicates bullish conditions; below zero indicates bearish conditions.
Overbought/Oversold Lines: Red (overbought) and green (oversold) wavy lines mark threshold levels. Extreme ACO values near these lines may suggest reversals.
Buy/Sell Signals:
Green Triangle (Bottom): Appears when the ACO crosses above the oversold threshold, suggesting a potential buy.
Red Triangle (Top): Appears when the ACO crosses below the overbought threshold, suggesting a potential sell.
Divergences:
Green Triangle (Bottom): Indicates a bullish divergence (price makes a lower low, but the EMA makes a higher low), hinting at a potential upward reversal.
Red Triangle (Top): Indicates a bearish divergence (price makes a higher high, but the EMA makes a lower high), hinting at a potential downward reversal.
5. Using Alerts
You can set alerts for key events:
Right-click the indicator and select Add Alert.
Choose a condition (e.g., "ACO Buy Signal", "Bullish Divergence").
Configure the alert settings (e.g., notify via email, app, or pop-up).
Click Create to activate the alert.
Available alert conditions:
ACO Buy Signal: When the ACO crosses above the oversold threshold.
ACO Sell Signal: When the ACO crosses below the overbought threshold.
Bullish Divergence: When a potential upward reversal is detected.
Bearish Divergence: When a potential downward reversal is detected.
6. Tips for Using the Indicator
Combine with Other Tools: Use the indicator alongside support/resistance levels, candlestick patterns, or other indicators (e.g., RSI, MACD) for confirmation.
Test on Different Timeframes: The indicator works on any timeframe (e.g., 1-minute, daily). Shorter timeframes may produce more signals but with more noise.
Practice Risk Management: Never rely solely on this indicator. Set stop-losses and position sizes to manage risk.
Backtest First: Use TradingView’s Strategy Tester (if you convert the script to a strategy) to evaluate performance on historical data.
Compliance with TradingView’s Script Publishing Rules
This description adheres to TradingView’s Script Publishing Rules (as outlined in the provided link):
No Performance Claims: The description avoids promising profits or specific results, emphasizing that the indicator is a tool for analysis.
Clear Instructions: It provides step-by-step guidance for adding, customizing, and using the indicator.
Risk Disclaimer: It notes that trading involves risks and the indicator should be used with other analysis methods.
No Misleading Terms: Terms like “buy” and “sell” are used to describe signals, not guaranteed actions.
Transparency: The description explains the indicator’s components (ACO, EMAs, signals, divergences) without exaggerating its capabilities.
No External Links: The description avoids linking to external resources or soliciting users.
Educational Tone: It focuses on educating users about the indicator’s functionality.
Limitations
Not a Standalone System: The indicator is not a complete trading strategy. It provides insights but requires additional analysis.
Lagging Nature: As with most oscillators and EMAs, signals may lag behind price movements, especially in fast markets.
False Signals: Signals and divergences may not always lead to successful trades, particularly in choppy markets.
Market Dependency: Performance varies across assets and market conditions (e.g., trending vs. ranging markets).
Percent Change of Range Candles - FullPercent Change of Range Candles – Full (PCR Full)
Description:
PCR Full is a custom momentum indicator that measures the percentage price change relative to a defined range, offering traders a unique way to evaluate strength, direction, and potential reversals in price movement.
How it works:
The main value (PCR) is calculated by comparing the price change over a selected number of candles (length) to the range between the highest high and lowest low in the same period.
This percentage change is normalized and visualized with dynamic candles on the subgraph.
Reference levels at +100, +50, 0, -50, and -100 serve as key zones to indicate potential overbought/oversold conditions, continuation, or neutrality.
How to read the indicator:
1. Trend continuation:
When PCR breaks above +50 and holds, it often confirms a strong bullish move.
Similarly, values below -50 and staying low signal a bearish continuation.
2. Wick behavior (volatility insight):
Long wicks on PCR candles suggest uncertainty or failed breakout attempts.
Short or no wicks with strong body color show stable momentum and conviction.
On the chart, multiple long wicks near -50 suggest bulls are attempting to push price upward, but lack the strength — until a confirmed breakout.
3. Polarity transition (Bearish to Bullish or vice versa):
A transition from negative PCR values to above zero shows that the market is possibly turning.
Especially if PCR climbs gradually and stabilizes above zero, it indicates a developing bullish phase.
Components:
Main PCR line: Color-coded (green for rising, red for falling).
Open Average (gray line): Smooths recent PCR values, indicating balance.
High/Low adaptive bands: Adjust dynamically to PCR polarity.
PCR Candles: Visualize OHLC of PCR data for enhanced interpretation.
Suggested use cases:
Enter trend trades when PCR crosses +50 or -50 with volume or price confirmation.
Watch for reversal signs near ±100 if PCR fails to break further.
Use 0 line as a neutral zone — markets hovering near 0 are often in consolidation.
Combine with price action or oscillators like RSI/MACD for additional signals.
Customization:
The length input allows users to define the range for PCR calculations, making it adjustable to various timeframes and strategies (scalping, intraday, swing).
5DMA Optional HMA Entry📈 5DMA Optional HMA Entry Signal – Precision-Based Momentum Trigger
Category: Trend-Following / Reversal Timing / Entry Optimization
🔍 Overview:
The 5DMA Optional HMA Entry indicator is a refined price-action entry tool built for traders who rely on clean trend alignment and precise timing. This script identifies breakout-style entry points when price gains upward momentum relative to short-term moving averages — specifically the 5-day Simple Moving Average (5DMA) and an optional Hull Moving Average (HMA).
Whether you're swing trading stocks, scalping ETFs like UVXY or VXX, or looking for pullback recovery entries, this tool helps time your long entries with clarity and flexibility.
⚙️ Core Logic:
Primary Condition (Always On):
🔹 Close must be above the 5DMA – ensuring upward short-term momentum is confirmed.
Optional Condition (Toggled by User):
🔹 Close above the HMA – adds slope-responsive trend filtering for smoother setups. Enable or disable via checkbox.
Bonus Entry Filter (Optional):
🔹 Green Candle Wick Breakout – optional pattern logic that detects bullish momentum when the high pierces above both MAs, with a green body.
Reset Mechanism:
🔁 Signal resets only after price closes back below all active MAs (5DMA and HMA if enabled), reducing noise and avoiding repeated signals during chop.
🧠 Why This Works:
This indicator captures the kind of setups that professional traders look for:
Momentum crossovers without chasing late.
Mean reversion snapbacks that align with fresh bullish moves.
Avoids premature entries by requiring clear structure above moving averages.
Optional HMA filter allows adaptability: turn it off during choppy markets or range conditions, and on during trending environments.
🔔 Features:
✅ Adjustable HMA Length
✅ Enable/Disable HMA Filter
✅ Optional Green Wick Breakout Detection
✅ Visual “Buy” label plotted below qualifying bars
✅ Real-time Alert Conditions for automated trading or manual alerts
🎯 Use Cases:
VIX-based ETFs (e.g., UVXY, VXX): Catch early breakouts aligned with volatility spikes.
Growth Stocks: Time pullback entries during bullish runs.
Futures/Indices: Combine with macro levels for intraday scalps or swing setups.
Overlay on Trend Filters: Combine with RSI, MACD, or VWAP for confirmation.
🛠️ Recommended Settings:
For smooth setups in volatile names, use:
HMA Length: 20
Keep green wick filter ON
For fast momentum trades, disable the HMA filter to act on 5DMA alone.
⭐ Final Thoughts:
This script is built to serve both systematic traders and discretionary scalpers who want actionable signals without noise or lag. The toggleable HMA feature lets you adjust sensitivity depending on market conditions — a key edge in adapting to volatility cycles.
Perfect for those who value clean, non-repainting entries rooted in logical structure.
IU Liquidity Flow TrackerDESCRIPTION
The IU Liquidity Flow Tracker is a powerful market analysis tool designed to visualize hidden buying and selling activity by analyzing price action, volume behavior, market pressure, and depth. It provides a composite view of liquidity dynamics to help traders identify accumulation, distribution, and neutral phases with high clarity.
This indicator is ideal for traders who want to gauge the flow of market participants and make informed entry/exit decisions based on the underlying liquidity structure.
USER INPUTS:
* Flow Analysis Period: Length used for analyzing price spread and volume flow.
* Pressure Sensitivity: Adjusts the sensitivity of threshold detection for flow classification.
* Flow Smoothing: Controls the smoothing applied to raw flow data.
* Market Depth Analysis: Sets the depth range for rejection and wick analysis.
* Colors: Customize colors for accumulation, distribution, neutral zones, and pressure visualization.
INDICATOR LOGIC:
The IU Liquidity Flow Tracker uses a multi-factor model to evaluate market behavior:
1. Liquidity Pressure: Combines price spread, price efficiency, and volume imbalance.
2. Flow Direction: Weighted momentum using short, medium, and long-term price changes adjusted for volume.
3. Market Depth: Wick-based rejection scoring to estimate buying/selling aggressiveness at price extremes.
4. Composite Flow Index: Blended value of flow direction, pressure, and depth—smoothed for clarity.
5. Dynamic Thresholds: Automatically adjusts based on volatility to classify the market into:
* Accumulation: Strong buying signals.
* Distribution: Strong selling signals.
* Neutral: No significant flow dominance.
6. Entry Signals: Long/Short signals are generated when flow state shifts, supported by momentum, volume surge, and depth strength.
WHY IT IS UNIQUE:
Unlike typical indicators that rely solely on price or volume, this tool combines spread behavior, volume polarity, momentum weighting, and price rejection zones into a single visual interface. It dynamically adjusts sensitivity based on market volatility, helping avoid false signals during sideways or low-volume periods.
It is not based on any traditional indicator (RSI, MACD, etc.), making it ideal for traders looking for an original and data-driven market read.
HOW USER CAN BENEFIT FROM IT:
* Understand Market Context: Know whether the market is being accumulated, distributed, or ranging.
* Improve Entries/Exits: Use flow transitions combined with volume confirmation for high-probability setups.
* Spot Institutional Activity: Detect subtle shifts in liquidity that precede major price moves.
* Reduce Whipsaws: Dynamic thresholds and multi-factor confirmation help filter noise.
* Use with Any Style: Whether you're a swing trader, day trader, or scalper, this tool adapts to different timeframes and strategies.
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
Kaufman Trend Strength Signal█ Overview
Kaufman Trend Strength Signal is an advanced trend detection tool that decomposes price action into its underlying directional trend and localized oscillation using a vector-based Kalman Filter.
By integrating adaptive smoothing and dynamic weighting via a weighted moving average (WMA), this indicator provides real-time insight into both trend direction and trend strength — something standard moving averages often fail to capture.
The core model assumes that observed price consists of two components:
(1) a directional trend, and
(2) localized noise or oscillation.
Using a two-step Predict & Update cycle, the filter continuously refines its trend estimate as new market data becomes available.
█ How It Works
This indicator employs a Kalman Filter model that separates the trend from short-term fluctuations in a price series.
Predict & Update Cycle : With each new bar, the filter predicts the price state and updates that prediction using the latest observed price, producing a smooth but adaptive trend line.
Trend Strength Normalization : Internally, the oscillator component is normalized against recent values (N periods) to calculate a trend strength score between -100 and +100.
(Note: The oscillator is not plotted on the chart but is used for signal generation.)
Filtered MA Line : The trend component is plotted as a smooth Kalman Filter-based moving average (MA) line on the main chart.
Threshold Cross Signals : When the internal trend strength crosses a user-defined threshold (default: ±60), visual entry arrows are displayed to signal momentum shifts.
█ Key Features
Adaptive Trend Estimation : Real-time filtering that adjusts dynamically to market changes.
Visual Buy/Sell Signals : Entry arrows appear when the trend strength crosses above or below the configured threshold.
Built-in Range Filter : The MA line turns blue when trend strength is weak (|value| < 10), helping you filter out choppy, sideways conditions.
█ How to Use
Trend Detection :
• Green MA = bullish trend
• Red MA = bearish trend
• Blue MA = no trend / ranging market
Entry Signals :
• Green triangle = trend strength crossed above +Threshold → potential bullish entry
• Red triangle = trend strength crossed below -Threshold → potential bearish entry
█ Settings
Entry Threshold : Level at which the trend strength triggers entry signals (default: 60)
Process Noise 1 & 2 : Control the filter’s responsiveness to recent price action. Higher = more reactive; lower = smoother.
Measurement Noise : Sets how much the filter "trusts" price data. High = smoother MA, low = faster response but more noise.
Trend Lookback (N2) : Number of bars used to normalize trend strength. Lower = more sensitive; higher = more stable.
Trend Smoothness (R2) : WMA smoothing applied to the trend strength calculation.
█ Visual Guide
Green MA Line → Bullish trend
Red MA Line → Bearish trend
Blue MA Line → Sideways/range
Green Triangle → Entry signal (trend strengthening)
Red Triangle → Entry signal (trend weakening)
█ Best Practices
In high-volatility conditions, increase Measurement Noise to reduce false signals.
Combine with other indicators (e.g., RSI, MACD, EMA) for confirmation and filtering.
Adjust "Entry Threshold" and noise settings depending on your timeframe and trading style.
❗ Disclaimer
This script is provided for educational purposes only and should not be considered financial advice or a recommendation to buy/sell any asset.
Trading involves risk. Past performance does not guarantee future results.
Always perform your own analysis and use proper risk management when trading.
3 Bar Reversal3 Bar Reversal
This pattern is described in John Carter's "Mastering the Trade"
The 3 Bar Reversal indicator is a simple but effective price action tool designed to highlight potential short-term reversals in market direction. It monitors consecutive bar behavior and identifies turning points based on a three-bar pattern. This tool can assist traders in spotting trend exhaustion or early signs of a reversal, particularly in scalping or short-term trading strategies.
How It Works
This indicator analyzes the relationship between consecutive bar closes:
It counts how many bars have passed since the price closed higher than the previous close (barssince(close >= close )) — referred to as an "up streak".
It also counts how many bars have passed since the price closed lower than the previous close (barssince(close <= close )) — known as a "down streak".
A reversal condition is met when:
There have been exactly 3 bars in a row moving in one direction (up or down), and
The 4th bar closes in the opposite direction.
When this condition is detected, the script performs two actions:
Plots a triangle on the chart to signal the potential reversal:
A green triangle below the bar for a possible long (buy) opportunity.
A red triangle above the bar for a possible short (sell) opportunity.
Triggers an alert condition so users can set notifications for when a reversal is detected.
Interpretation
Long Signal: The market has printed 3 consecutive lower closes, followed by a higher close — suggesting bullish momentum may be emerging.
Short Signal: The market has printed 3 consecutive higher closes, followed by a lower close — indicating possible bearish momentum.
These patterns are common in market retracements and can act as confirmation signals when used with other indicators such as RSI, MACD, support/resistance, or volume analysis.
Usage Examples
Scalping: Use the reversal signal to quickly enter short-term trades after a short-term exhaustion move.
Swing Trading: Combine this with trend indicators (e.g., moving averages) to time pullbacks within larger trends.
Confirmation Tool: Use this indicator alongside candlestick patterns or support/resistance zones to validate entry or exit points.
Alert Setup: Enable alerts based on the built-in alertcondition to receive instant notifications for potential trade setups.
Limitations
The 3-bar reversal logic does not guarantee a trend change; it signals potential reversals, which may need confirmation.
Best used in conjunction with broader context such as trend direction, market structure, or other technical indicators.
Arnaud Legoux Trend Aggregator | Lyro RSArnaud Legoux Trend Aggregator
Introduction
Arnaud Legoux Trend Aggregator is a custom-built trend analysis tool that blends classic market oscillators with advanced normalization, advanced math functions and Arnaud Legoux smoothing. Unlike conventional indicators, 𝓐𝓛𝓣𝓐 aggregates market momentum, volatility and trend strength.
Signal Insight
The 𝓐𝓛𝓣𝓐 line visually reflects the aggregated directional bias. A rise above the middle line threshold signals bullish strength, while a drop below the middle line indicates bearish momentum.
Another way to interpret the 𝓐𝓛𝓣𝓐 is through overbought and oversold conditions. When the 𝓐𝓛𝓣𝓐 rises above the +0.7 threshold, it suggests an overbought market and signals a strong uptrend. Conversely, a drop below the -0.7 level indicates an oversold condition and a strong downtrend.
When the oscillator hovers near the zero line, especially within the neutral ±0.3 band, it suggests that no single directional force is dominating—common during consolidation phases or pre-breakout compression.
Real-World Example
Usually 𝓐𝓛𝓣𝓐 is used by following the bar color for simple signals; however, like most indicators there are unique ways to use an indicator. Let’s dive deep into such ways.
The market begins with a green bar color, raising awareness for a potential long setup—but not a direct entry. In this methodology, bar coloring serves as an alert mechanism rather than a strict entry trigger.
The first long position was initiated when the 𝓐𝓛𝓣𝓐 signal line crossed above the +0.3 threshold, suggesting a shift in directional acceleration. This entry coincided with a rising price movement, validating the trade.
As price advanced, the position was exited into cash—not reversed into a short—because the short criteria for this use case are distinct. The exit was prompted by 𝓐𝓛𝓣𝓐 crossing back below the +0.3 level, signaling the potential weakening of the long trend.
Later, as 𝓐𝓛𝓣𝓐 crossed below 0, attention shifted toward short opportunities. A short entry was confirmed when 𝓐𝓛𝓣𝓐 dipped below -0.3, indicating growing downside momentum. The position was eventually closed when 𝓐𝓛𝓣𝓐 crossed back above the -0.3 boundary—signaling a possible deceleration of the bearish move.
This logic was consistently applied in subsequent setups, emphasizing the role of 𝓐𝓛𝓣𝓐’s thresholds in guiding both entries and exits.
Framework
The Arnaud Legoux Trend Aggregator (ALTA) combines multiple technical indicators into a single smoothed signal. It uses RSI, MACD, Bollinger Bands, Stochastic Momentum Index, and ATR.
Each indicator's output is normalized to a common scale to eliminate bias and ensure consistency. These normalized values are then transformed using a hyperbolic tangent function (Tanh).
The final score is refined with a custom Arnaud Legoux Moving Average (ALMA) function, which offers responsive smoothing that adapts quickly to price changes. This results in a clear signal that reacts efficiently to shifting market conditions.
⚠️ WARNING ⚠️: THIS INDICATOR, OR ANY OTHER WE (LYRO RS) PUBLISH, IS NOT FINANCIAL OR INVESTMENT ADVICE. EVERY INDICATOR SHOULD BE COMBINED WITH PRICE ACTION, FUNDAMENTALS, OTHER TECHNICAL ANALYSIS TOOLS & PROPER RISK. MANAGEMENT.
Ensemble Consensus System
The Ensemble Consensus System (ECS) brings a **Random Forest-style ensemble vote** to Pine Script: five orthogonal "expert" strategies each cast a bull/bear vote (+1/-1/0), and only high-confidence consensus moves become signals—dramatically reducing noise while capturing strong directional moves.
## What Makes This Original
ECS is the first Pine Script indicator to implement true machine learning-style ensemble voting. Rather than relying on a single methodology, five independent experts analyze different market dimensions:
• **Trend Expert**: Multi-timeframe EMA alignment analysis
• **Momentum Expert**: RSI/MACD/Stochastic confluence with consistency filters
• **Volume Expert**: Proprietary volume pressure + OBV confirmation
• **Volatility Expert**: Bollinger Band mean reversion opportunities
• **Structure Expert**: Adaptive pivot-based support/resistance detection
## How It Works
The system requires consensus among experts, with an **adaptive threshold** based on market volatility:
| Volatility Regime | ATR/Close | Votes Required |
|-------------------|-----------|----------------|
| Low Volatility | <1% | 2+ |
| Normal Markets | 1-2% | 3+ |
| High Volatility | >2% | 4+ |
This dynamic adjustment prevents overtrading in choppy conditions while maintaining responsiveness during strong trends.
## Key Features
### Signals
• **Visual entry points** with strength percentage (60% = 3/5 experts agree)
• **Adaptive thresholds** that adjust to market conditions
• **Multi-expert consensus** reduces false signals
### Risk Control
• **Dynamic stop-loss/take-profit** based on ATR
• **Regime-adjusted targets** (±50% in volatile markets)
• **Visual SL/TP lines** with exact price labels
### Analytics
• **Real-time vote panel** showing each expert's stance
• **Performance tracking** with win rate and P/L
• **Market regime indicator** (Trending/Ranging/Volatile)
• **Light Mode** for better performance on slower systems
## How to Use
1. **Apply ECS** to a liquid instrument on 15m-4H timeframe (best: 1H)
2. **Wait for signal** - green ▲ for long, red ▼ for short with strength %
3. **Verify votes** - check panel to see which experts agree
4. **Execute trade** using the displayed SL/TP levels
5. **Monitor regime** - be cautious if market regime changes
### Quick Start Settings
• **Standard Trading**: Use defaults (3 votes, adaptive mode ON)
• **Conservative**: Increase to 4 votes minimum
• **Aggressive**: Reduce to 2 votes, tighten stops
## Important Limitations
• **Chart Types**: Not compatible with Renko/Heikin-Ashi
• **Volume Data**: Requires reliable volume (forex pairs may underperform)
• **News Events**: Signals may lag during gaps/major announcements
• **Processing**: Heavy calculations - use Light Mode if needed
## Settings Guide
**Ensemble Controls**
• `Minimum Votes` (default: 3): Base threshold before volatility adjustment
• `Adaptive Mode` (default: ON): Auto-adjusts threshold by market volatility
**Visual Options**
• `Vote Panel`: Live expert voting display
• `Performance Stats`: Win rate and trade tracking
• `Light Mode`: Disables heavy visuals for speed
**Risk Parameters**
• `Stop Multiplier` (default: 2.0): ATR multiple for stop-loss
• `TP Multiplier` (default: 3.0): ATR multiple for take-profit
• `Dynamic TP` (default: ON): Adjusts targets by market regime
## Troubleshooting
**Too few signals?**
→ Lower minimum votes or check if market is ranging
**Indicator running slow?**
→ Enable Light Mode, disable performance tracking
**Weird volume votes?**
→ Verify your symbol has accurate volume data
## Technical Concepts
The ensemble approach mimics **Random Forest algorithms** where multiple decision trees vote on outcomes. By requiring agreement among experts using orthogonal methodologies, ECS filters out signals that would fail under different market lenses. The adaptive threshold addresses fixed-parameter weakness by dynamically adjusting selectivity based on volatility.
• Adaptive pivot lookback for dynamic structure detection
• Safe volume pressure calculation preventing division errors
• Momentum consistency filter reducing choppy false signals
• Unified dashboard merging vote panel + performance stats
• Regime-based dynamic take-profit adjustment
*Educational indicator demonstrating ensemble methods in Pine Script. No guarantee of future performance. Always use proper risk management and position sizing.*
Momentum (80) + ATR (14)his indicator combines two essential technical analysis tools in a single panel for enhanced market insight:
🔹 Momentum (80 periods): Measures the difference between the current price and the price 80 bars ago. Displayed as a semi-transparent filled area, it helps to visually identify shifts in price momentum over a longer timeframe.
🔸 ATR (Average True Range, 14 periods): Shown as a fine orange line, the ATR represents average market volatility over 14 periods, highlighting phases of calm or increased price fluctuations.
By viewing both momentum and volatility simultaneously, traders can better assess trend strength and market conditions, improving decision-making across assets such as stocks, forex, and cryptocurrencies.
✅ Suitable for all asset types
✅ Complements other indicators like RSI, MACD, and Bollinger Bands
✅ Categorized under Momentum & Volatility indicators
Triple Exponential Moving Average (TEMA)The Triple Exponential Moving Average (TEMA) is an advanced technical indicator designed to significantly reduce the lag inherent in traditional moving averages while maintaining signal quality. Developed by Patrick Mulloy in 1994 as an extension of his DEMA concept, TEMA employs a sophisticated triple-stage calculation process to provide exceptionally responsive market signals.
TEMA's mathematical approach goes beyond standard smoothing techniques by using a triple-cascade architecture with optimized coefficients. This makes it particularly valuable for traders who need earlier identification of trend changes without sacrificing reliability. Since its introduction, TEMA has become a key component in many algorithmic trading systems and professional trading platforms.
▶️ **Core Concepts**
Triple-stage lag reduction: TEMA uses a three-level EMA calculation with optimized coefficients (3, -3, 1) to dramatically minimize the delay in signal generation
Enhanced responsiveness: Provides significantly faster reaction to price changes than standard EMA or even DEMA, while maintaining reasonable smoothness
Strategic signal processing: Employs mathematical techniques to extract the underlying trend while filtering random price fluctuations
Timeframe effectiveness: Performs well across multiple timeframes, though particularly valued in short to medium-term trading
TEMA achieves its enhanced responsiveness through an innovative triple-cascade architecture that strategically combines three levels of exponential moving averages. This approach effectively removes the lag component inherent in EMA calculations while preserving the essential smoothing benefits.
▶️ **Common Settings and Parameters**
Length: Default: 12 | Controls sensitivity/smoothness | When to Adjust: Increase in choppy markets, decrease in strongly trending markets
Source: Default: Close | Data point used for calculation | When to Adjust: Change to HL2/HLC3 for more balanced price representation
Corrected: Default: false | Adjusts internal EMA smoothing factors for potentially faster response | When to Adjust: Set to true for a modified TEMA that may react quicker to price changes. false uses standard TEMA calculation
Visualization: Default: Line | Display format on charts | When to Adjust: Use filled cloud to see divergence from price more clearly
Pro Tip: For optimal trade signals, many professional traders use two TEMAs (e.g., 8 and 21 periods) and look for crossovers, which often provide earlier signals than traditional moving average pairs.
▶️ **Calculation and Mathematical Foundation**
Simplified explanation:
TEMA calculates three levels of EMAs, then combines them using a special formula that amplifies recent price action while reducing lag. This triple-processing approach effectively eliminates much of the delay found in traditional moving averages.
Technical formula:
TEMA = 3 × EMA₁ - 3 × EMA₂ + EMA₃
Where:
EMA₁ = EMA(source, α₁)
EMA₂ = EMA(EMA₁, α₂)
EMA₃ = EMA(EMA₂, α₃)
The smoothing factors (α₁, α₂, α₃) are determined as follows:
Let α_base = 2/(length + 1)
α₁ = α_base
If corrected is false:
α₂ = α_base
α₃ = α_base
If corrected is true:
Let r = (1/α_base)^(1/3)
α₂ = α_base * r
α₃ = α_base * r * r = α_base * r²
The corrected = true option implements a variation that uses progressively smaller alpha values for the subsequent EMA calculations. This approach aims to optimize the filter's frequency response and phase lag.
Alpha Calculation for corrected = true:
α₁ (alpha_base) = 2/(length + 1)
r = (1/α₁)^(1/3) (cube root relationship)
α₂ = α₁ * r = α₁^(2/3)
α₃ = α₂ * r = α₁^(1/3)
Mathematical Rationale for Corrected Alphas:
1. Frequency Response Balance:
The standard TEMA (where α₁ = α₂ = α₃) can lead to an uneven frequency response, potentially over-smoothing high frequencies or creating resonance artifacts. The geometric progression of alphas (α₁ > α₁^(2/3) > α₁^(1/3)) in the corrected version aims to create a more balanced filter cascade. Each stage contributes more proportionally to the overall frequency response.
2. Phase Lag Optimization:
The cube root relationship between the alphas is designed to minimize cumulative phase lag while maintaining smoothing effectiveness. Each subsequent EMA stage has a progressively smaller impact on phase distortion.
3. Mathematical Stability:
The geometric progression (α₁, α₁^(2/3), α₁^(1/3)) can enhance numerical stability due to constant ratios between consecutive alphas. This helps prevent the accumulation of rounding errors and maintains consistent convergence properties.
Practical Impact of corrected = true:
This modification aims to achieve:
Potentially better lag reduction for a similar level of smoothing
A more uniform frequency response across different market cycles
Reduced overshoot or undershoot in trending conditions
Improved signal-to-noise ratio preservation
Essentially, the cube root relationship in the corrected TEMA attempts to optimize the trade-off between responsiveness and smoothness that can be a challenge with uniform alpha values.
🔍 Technical Note: Advanced implementations apply compensation techniques to all three EMA stages, ensuring TEMA values are valid from the first bar without requiring a warm-up period. This compensation corrects initialization bias and prevents calculation errors from compounding through the cascade.
▶️ **Interpretation Details**
TEMA excels at identifying trend changes significantly earlier than traditional moving averages, making it valuable for both entry and exit signals:
When price crosses above TEMA, it often signals the beginning of an uptrend
When price crosses below TEMA, it often signals the beginning of a downtrend
The slope of TEMA provides insight into trend strength and momentum
TEMA crossovers with price tend to occur earlier than with standard EMAs
When multiple-period TEMAs cross each other, they confirm significant trend shifts
TEMA works exceptionally well as a dynamic support/resistance level in trending markets
For optimal results, traders often use TEMA in combination with momentum indicators or volume analysis to confirm signals and reduce false positives.
▶️ **Limitations and Considerations**
Market conditions: The high responsiveness can generate false signals during highly choppy, sideways markets
Overshooting: More aggressive lag reduction leads to more pronounced overshooting during sharp reversals
Parameter sensitivity: Changes in length have more dramatic effects than in simpler moving averages
Calculation complexity: Triple cascaded EMAs make behavior less predictable and more resource-intensive
Complementary tools: Should be used with confirmation tools like RSI, MACD or volume indicators
▶️ **References**
Mulloy, P. (1994). "Smoothing Data with Less Lag," Technical Analysis of Stocks & Commodities .
Mulloy, P. (1995). "Comparing Digital Filters," Technical Analysis of Stocks & Commodities .
