META: STDEV Study (Scripting Exercise)While trying to figure out how to make the STDEV function use an exponential moving average instead of simple moving average , I discovered the builtin function doesn't really use either.
Check it out, it's amazing how different the two-pass algorithm is from the builtin!
Eventually I reverse-engineered and discovered that STDEV uses the Naiive algorithm and doesn't apply "Bessel's Correction". K can be 0, it doesn't seem to change the data although having it included should make it a little more precise.
en.wikipedia.org
Wyszukaj w skryptach "algo"
Acc/DistAMA with FRACTAL DEVIATION BANDS by @XeL_ArjonaACCUMULATION/DISTRIBUTION ADAPTIVE MOVING AVERAGE with FRACTAL DEVIATION BANDS
Ver. 2.5 @ 16.09.2015
By Ricardo M Arjona @XeL_Arjona
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the
author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
Pine Script code MOD's and adaptations by @XeL_Arjona with special mention in regard of:
Buy (Bull) and Sell (Bear) "Power Balance Algorithm" by:
Stocks & Commodities V. 21:10 (68-72): "Bull And Bear Balance Indicator by Vadim Gimelfarb"
Fractal Deviation Bands by @XeL_Arjona.
Color Cloud Fill by @ChrisMoody
CHANGE LOG:
Following a "Fractal Approach" now the lookback window is hardcode correlated with a given timeframe. (Default @ 126 days as Half a Year / 252 bars)
Clean and speed up of Adaptive Moving Average Algo.
Fractal Deviation Band Cloud coloring smoothed.
>
ALL NEW IDEAS OR MODIFICATIONS to these indicator(s) are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter or TradingVew accounts at: @XeL_Arjona
Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView. Copyright 2015
Volume Pressure Composite Average with Bands by @XeL_ArjonaVOLUME PRESSURE COMPOSITE AVERAGE WITH BANDS
Ver. 1.0.beta.10.08.2015
By Ricardo M Arjona @XeL_Arjona
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
Pine Script code MOD's and adaptations by @XeL_Arjona with special mention in regard of:
Buy (Bull) and Sell (Bear) "Power Balance Algorithm" by :
Stocks & Commodities V. 21:10 (68-72):
"Bull And Bear Balance Indicator by Vadim Gimelfarb"
Adjusted Exponential Adaptation from original Volume Weighted Moving Average (VEMA) by @XeL_Arjona with help given at the @pinescript chat room with special mention to @RicardoSantos
Color Cloud Fill Condition algorithm by @ChrisMoody
WHAT IS THIS?
The following indicators try to acknowledge in a K-I-S-S approach to the eye (Keep-It-Simple-Stupid), the two most important aspects of nearly every trading vehicle: -- PRICE ACTION IN RELATION BY IT'S VOLUME --
A) My approach is to make this indicator both as a "Trend Follower" as well as a Volatility expressed in the Bands which are the weighting basis of the trend given their "Cross Signal" given by the Buy & Sell Volume Pressures algorithm. >
B) Please experiment with lookback periods against different timeframes. Given the nature of the Volume Mathematical Monster this kind of study is and in concordance with Price Action; at first glance I've noted that both in short as in long term periods, the indicator tends to adapt quite well to general price action conditions. BE ADVICED THIS IS EXPERIMENTAL!
C) ALL NEW IDEAS OR MODIFICATIONS to these indicator(s) are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter or TradingVew accounts at: @XeL_Arjona
Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView. --- All Authorship Rights RESERVED 2015 ---
Volume Weighted LR Z ScoreThis indicator calculates the Volume Weighted Linear Regression
Z-Score (VWLRZS). Unlike a standard Z-Score which measures
deviation from a static mean, this oscillator measures the
statistical distance of price from a dynamic Volume-Weighted
Linear Regression Line (Analysis of Residuals).
Key Features:
1. **Volatility Decomposition:** The indicator separates volatility
based on the 'Estimate Bar Statistics' option.
- **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates
standard Regression Residuals using the selected `Source`
for both the regression line (baseline) and the signal.
- **Decomposition Mode (`Estimate Bar Statistics` = ON):**
Uses a hybrid statistical approach:
a) **The Model (Baseline):** Uses an estimator to calculate
the 'within-bar' mean and fits the Linear Regression
through these statistical centers. This creates a
stable, trend-following expectation model.
b) **The Signal (Observation):** Compares the actual `Source`
(e.g., Close) against this regression line.
(Result: A Z-Score that measures deviations from the current
trend slope rather than a flat average).
2. **Visual Decomposition Logic:** Total Standard Deviation (of
Residuals) is the primary metric displayed. Since Standard
Deviations are not linearly additive (sqrt(a+b) != sqrt(a)+sqrt(b)),
this indicator calculates the *exact* Total Z-Score and partitions
the area underneath based on the Variance Ratio. This ensures the
displayed total volatility remains mathematically accurate while
showing relative composition.
3. **Normalization (Exponential Regression):** Includes an optional
'Normalize' mode. When enabled, the indicator calculates the
Linear Regression on logarithmic data. Mathematically, this
transforms the baseline into an **Exponential Regression Curve**,
making it ideal for analyzing assets with compounding growth
characteristics (constant percentage trend).
4. **Full Divergence Suite (Class A, B, C):** The indicator's
primary feature is its integrated divergence engine. It
automatically detects and plots all three major divergence
classes between price and the Z-Score:
- Regular (A): Signals potential trend exhaustion and reversals.
- Hidden (B): Signals potential trend continuations during pullbacks.
- Exaggerated (C): Signals weakness at double tops/bottoms.
5. **Divergence Filtering and Visualization:**
- **Price Tolerance Filter:** Divergence detection is enhanced
with a percentage-based price tolerance (`pivPrcTol`) to
filter out insignificant market noise, leading to more
robust signals.
- **Persistent Visualization:** Divergence markers are plotted
for the entire duration of the signal and are visually
anchored to the oscillator level of the confirming pivot.
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library
6. **Note on Confirmation (Lag):** Divergence signals rely on a
pivot confirmation method to ensure they do not repaint.
- The **Start** of a divergence is only detected *after* the
confirming pivot is fully formed (a delay based on
`Pivot Right Bars`).
- The **End** of a divergence is detected either instantly
(if the signal is invalidated by price action) or with
a delay (when a new, non-divergent pivot is confirmed).
7. **Multi-Timeframe (MTF) Capability:**
- **MTF Calculation:** The Z-Score line *itself* can be calculated on a
higher timeframe, with standard options to handle gaps
(`Fill Gaps`) and prevent repainting (`Wait for...`).
- **Limitation:** The Divergence detection engine (`pivDiv`)
is designed for the active timeframe. Using it in MTF mode
is not recommended as step-data can lead to inaccurate
pivot detection.
8. **Integrated Alerts:** Includes a comprehensive set of built-in
alerts for the Z-Score crossing the neutral line, the configured
Threshold levels, and the start/end of all divergence types.
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
Volume Weighted Z ScoreThis indicator calculates the Volume Weighted Z-Score (VWZS), a
statistical oscillator that measures the number of standard deviations
the price is removed from its mean. It combines robust volatility
decomposition with advanced divergence detection.
Key Features:
1. **Volatility Decomposition:** The indicator separates volatility
based on the 'Estimate Bar Statistics' option.
- **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates
a simple (Volume-Weighted) Standard Deviation using the
selected `Source` for both the baseline and the signal.
- **Decomposition Mode (`Estimate Bar Statistics` = ON):**
Uses a hybrid statistical approach:
a) **The Model (Baseline):** Uses an estimator to calculate
the 'within-bar' mean and volatility. This creates a
stable, mathematically idealized expectation value (mu).
b) **The Signal (Observation):** Compares the actual `Source`
(e.g., Close) against this statistical baseline.
(Result: A Z-Score that combines a noise-filtered trend
baseline with a highly reactive price signal).
2. **Visual Decomposition Logic:** Total Standard Deviation is the
primary metric displayed. Since Standard Deviations are not
linearly additive (sqrt(a+b) != sqrt(a)+sqrt(b)), this indicator
plots the *exact* Total StdDev and partitions the area underneath
based on the Variance Ratio. This ensures the displayed total
volatility remains mathematically accurate while showing relative
composition.
3. **Normalization (Geometric Average):** Includes an optional
'Normalize' mode. When enabled, the indicator uses a
Geometric Moving Average (GMA) as its baseline and applies a
statistical correction for the log-normal distribution
ensuring symmetry between upside and downside movements.
4. **Full Divergence Suite (Class A, B, C):** The indicator's
primary feature is its integrated divergence engine. It
automatically detects and plots all three major divergence
classes between price and the Z-Score:
- Regular (A): Signals potential trend exhaustion and reversals.
- Hidden (B): Signals potential trend continuations during pullbacks.
- Exaggerated (C): Signals weakness at double tops/bottoms.
5. **Divergence Filtering and Visualization:**
- **Price Tolerance Filter:** Divergence detection is enhanced
with a percentage-based price tolerance (`pivPrcTol`) to
filter out insignificant market noise, leading to more
robust signals.
- **Persistent Visualization:** Divergence markers are plotted
for the entire duration of the signal and are visually
anchored to the oscillator level of the confirming pivot.
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library
6. **Note on Confirmation (Lag):** Divergence signals rely on a
pivot confirmation method to ensure they do not repaint.
- The **Start** of a divergence is only detected *after* the
confirming pivot is fully formed (a delay based on
`Pivot Right Bars`).
- The **End** of a divergence is detected either instantly
(if the signal is invalidated by price action) or with
a delay (when a new, non-divergent pivot is confirmed).
7. **Multi-Timeframe (MTF) Capability:**
- **MTF Calculation:** The Z-Score line *itself* can be calculated on a
higher timeframe, with standard options to handle gaps
(`Fill Gaps`) and prevent repainting (`Wait for...`).
- **Limitation:** The Divergence detection engine (`pivDiv`)
is designed for the active timeframe. Using it in MTF mode
is not recommended as step-data can lead to inaccurate
pivot detection.
8. **Integrated Alerts:** Includes a comprehensive set of built-in
alerts for the Z-Score crossing the neutral line, the configured
Threshold levels, and the start/end of all divergence types.
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
Ease of MovementThis indicator provides an implementation of the Ease of Movement
(EOM) indicator, enhanced with a built-in divergence detection
engine.
The EOM highlights the relationship between volume and price change.
High positive values indicate that the price is increasing with
low resistance (ease), while low negative values indicate the
price is dropping with ease.
Key Features:
1. **Full Divergence Suite (Class A, B, C):** The primary feature
is the integrated divergence engine. It automatically
detects and plots all three major types of divergences:
- Regular (A): Signals potential trend reversals (e.g., price
rising but "ease" of movement is diminishing).
- Hidden (B): Signals potential trend continuations.
- Exaggerated (C): Signals weakness at double tops/bottoms.
2. **Divergence Filtering and Visualization:**
- **Price Tolerance Filter:** Divergence detection is enhanced
with a percentage-based price tolerance (`pivPrcTol`) to
filter out insignificant market noise, leading to more
robust signals.
- **Persistent Visualization:** Divergence markers are plotted
for the entire duration of the signal and are visually
anchored to the EOM level of the confirming pivot.
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library
3. **Customizable Signal Line:** Includes an optional moving average
of the EOM, which serves as a signal line. The type of
MA (`Signal Smoothing`) and its length can be customized.
This signal line can also be optionally volume-weighted
(`Volume weighted`).
4. **Note on Confirmation (Lag):** Divergence signals rely on a
pivot confirmation method to ensure they do not repaint.
- The **Start** of a divergence is only detected *after* the
confirming pivot is fully formed (a delay based on
`Pivot Right Bars`).
- The **End** of a divergence is detected either instantly
(if the signal is invalidated by price action) or with
a delay (when a new, non-divergent pivot is confirmed).
5. **Multi-Timeframe (MTF) Capability:**
- **MTF EOM & Signal Lines:** The EOM and its signal line
can be calculated on a higher timeframe, with standard
options to handle gaps (`Fill Gaps`) and prevent
repainting (`Wait for...`).
- **Limitation:** The Divergence detection engine (`pivDiv`)
is **disabled** if a timeframe other than the chart's
timeframe is selected. Divergences are only calculated
on the active chart timeframe.
6. **Integrated Alerts:** Includes comprehensive alerts for:
- The *start* and *end* of all divergence types.
- The EOM crossing its signal line.
- The EOM crossing the zero line.
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
Volume Price TrendThis indicator provides an implementation of the Volume Price
Trend (VPT) momentum indicator, enhanced with a built-in
divergence detection engine.
Key Features:
1. **Full Divergence Suite (Class A, B, C):** The primary feature
is the integrated divergence engine. It automatically
detects and plots all three major types of divergences:
- Regular (A): Signals potential trend reversals.
- Hidden (B): Signals potential trend continuations.
- Exaggerated (C): Signals weakness at double tops/bottoms.
2. **Divergence Filtering and Visualization:**
- **Price Tolerance Filter:** Divergence detection is enhanced
with a percentage-based price tolerance (`pivPrcTol`) to
filter out insignificant market noise, leading to more
robust signals.
- **Persistent Visualization:** Divergence markers are plotted
for the entire duration of the signal and are visually
anchored to the VPT level of the confirming pivot.
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library
3. **Note on Confirmation (Lag):** Divergence signals rely on a
pivot confirmation method to ensure they do not repaint.
- The **Start** of a divergence is only detected *after* the
confirming pivot is fully formed (a delay based on
`Pivot Right Bars`).
- The **End** of a divergence is detected either instantly
(if the signal is invalidated by price action) or with
a delay (when a new, non-divergent pivot is confirmed).
4. **Multi-Timeframe (MTF) Capability:**
- **MTF VPT Line:** The VPT line *itself* can be calculated on a
higher timeframe, with standard options to handle gaps
(`Fill Gaps`) and prevent repainting (`Wait for...`).
- **Limitation:** The Divergence detection engine (`pivDiv`)
is **disabled** if a timeframe other than the chart's
timeframe is selected. Divergences are only calculated
on the active chart timeframe.
5. **Integrated Alerts:** Includes comprehensive alerts that
trigger on the *start* and *end* of all divergence types
(e.g., "Regular Bullish Started", "Regular Bullish Ended").
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
Market Structure Event TrendThis indicator identifies and visualizes advanced market structure
concepts (SMC) alongside classic price action analysis. It combines
robust, non-repainting pivot detection with a sophisticated engine
that tracks dual-layer trend states, structural breaks (BOS/CHoCH),
and supply/demand zones (Order Blocks).
Key Features:
1. **Non-Repainting Pivot Detection:**
- Uses a standard lookback method (`left` and `right` bars) to
identify historical pivot points.
- **Note on Confirmation:** Pivots are only confirmed *after*
the `Pivot Right Bars` input has passed. This is essential
for ensuring the signal is non-repainting, but it
introduces an inherent lag.
- Automatically classifies the sequence of pivots according to
Dow Theory: Higher Highs (HH), Higher Lows (HL), Lower Highs (LH),
and Lower Lows (LL).
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library
2. **Smart Money Concepts (SMC) Engine:**
- **Dual-Layer Structure:** The engine distinguishes between significant
**Major Structure** (Swing Points) and internal **Minor Structure**
(Sub-Structure). This allows traders to separate the overarching trend
from immediate order flow.
- **Event Detection:** Automatically identifies and visualizes key events:
- **BOS (Break of Structure):** Signals trend continuation when a
validated High/Low is broken in the direction of the trend.
- **CHoCH (Change of Character):** Signals a potential trend reversal
when a significant structural level is breached against the trend.
- **Pivot Classification:** Applies classic labels (HH, HL, LH, LL)
while also detecting Equal Highs (EH) and Equal Lows (EL) based on
a user-defined price tolerance.
3. **Automated Order Blocks:**
- Identifies potential Supply and Demand zones (Order Blocks) formed
at the precise origin of a structural break.
- **Mitigation Tracking:** The indicator monitors price action in real-time
and automatically removes or updates Order Blocks once they have been
mitigated (tested/broken) by the price.
- **Scope Awareness:** Distinguishes between Major Order Blocks (Swing origin)
and Minor Order Blocks (Internal flow origin).
4. **Trend State Visualization & Dynamic S/R:**
- A robust state machine analyzes the sequence of events to determine
the current market trend (Bullish, Bearish, or Neutral) for both
Major and Minor scopes.
- **Dynamic Step-Lines:** Visualizes the trend structure directly on the
chart, creating a "staircase" effect that highlights trailing stop levels.
- **Extended Pivot Lines:** Extends dynamic horizontal lines from confirmed
pivots that act as Support/Resistance and automatically terminate
upon a structural break.
5. **Full Customization & Alerts:**
- **Display Options:** Granular control over the visibility of Events,
Labels, Symbols, and Lines. Supports "Relative" vs "Absolute" price
change display.
- **Visual Styling:** Extensive color customization for Bullish/Bearish
scenarios and Major/Minor hierarchy.
- **Comprehensive Alerts:** Set up precise alerts for:
- New Pivot formations (e.g., "Pivot Higher High").
- Structural Events (e.g., "Major Bullish BOS detected").
- Trend State Changes (e.g., "Major Trend changed to Bullish",
"Minor Trend no longer Bearish").
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
Multi-Indicator Scoring System# Multi-Indicator Scoring System
## Overview
This indicator combines five technical analysis tools (RSI, MACD, EMA trends, and Volume) into a single unified scoring system that generates clear BUY and SELL signals. Instead of analyzing multiple indicators separately and dealing with conflicting signals, this script calculates one comprehensive 0-100% score that shows current market strength at a glance.
## Purpose and Originality
**Problem it solves:**
Traders using multiple indicators individually often face contradictory signals. For example, RSI might show oversold conditions while MACD indicates bearish momentum, or price is above EMA but volume is weak. This creates confusion and leads to poor trading decisions or missed opportunities.
**Solution:**
This script uses a weighted scoring algorithm that only generates signals when multiple technical components mathematically agree. Each indicator contributes weighted points based on its reliability in crypto markets, and the combined score filters out noise by requiring multi-indicator confirmation before triggering a signal.
**What makes it original:**
Unlike simple indicator overlays that just display multiple tools side-by-side, this script:
- Uses a mathematically weighted scoring system where each component has justified importance
- Requires conditional alignment—signals only appear when components agree, not just individual crossovers
- Normalizes complex multi-indicator data into one intuitive percentage
- Includes built-in volume confirmation to filter low-conviction setups
This approach mirrors professional algorithmic trading systems that use multi-factor quantitative models.
## How Components Work Together
The script analyzes five technical components and assigns weighted points to each:
### 1. RSI (Relative Strength Index) - Weight: 25 points
- **Period:** 14
- **Function:** Identifies overbought and oversold conditions
- **Scoring logic:**
- RSI < 30 (oversold) → +25 points (bullish reversal signal)
- RSI > 70 (overbought) → -25 points (bearish reversal signal)
- RSI between 30-70 → 0 points (neutral)
- **Why 25 points:** RSI is highly reliable for detecting potential reversal zones in cryptocurrency markets
### 2. MACD (Moving Average Convergence Divergence) - Weight: 25 points
- **Parameters:** Fast=12, Slow=26, Signal=9
- **Function:** Detects momentum shifts and trend changes
- **Scoring logic:**
- MACD line > Signal line → +25 points (bullish momentum)
- MACD line < Signal line → -25 points (bearish momentum)
- **Why 25 points:** MACD is the gold standard for momentum confirmation across timeframes
### 3. EMA Short-Term Trend (21 vs 50) - Weight: 25 points
- **Function:** Confirms immediate trend direction
- **Calculation:** Compares EMA 21 to EMA 50, plus price position relative to EMA 21
- **Scoring logic:**
- EMA 21 > EMA 50 AND Price > EMA 21 → +25 points (strong uptrend)
- EMA 21 < EMA 50 AND Price < EMA 21 → -25 points (strong downtrend)
- Mixed conditions → 0 points (no clear trend)
- **Why 25 points:** Short-term trend alignment is critical for accurate entry timing
### 4. EMA Long-Term Context (200) - Weight: 15 points
- **Function:** Validates overall market structure
- **Calculation:** Price position relative to 200-period EMA
- **Scoring logic:**
- Price > EMA 200 → +15 points (bull market context)
- Price < EMA 200 → -15 points (bear market context)
- **Why 15 points:** Lower weight because long-term trend changes more slowly
### 5. Volume Confirmation - Weight: 10 points (Bonus)
- **Function:** Confirms genuine market interest versus noise
- **Calculation:** Current volume compared to 20-period SMA
- **Scoring logic:**
- Volume > 1.5× average → +10 bonus points
- Volume ≤ 1.5× average → 0 bonus points
- **Why 10 points:** Volume adds conviction but shouldn't override technical setup
### Score Aggregation Formula
**Why these thresholds?**
Backtesting on BTC/ETH showed optimal risk/reward at 65/35 levels. Lower thresholds (50%) produce too many false signals, while higher thresholds (80%) miss opportunities. The 65/35 balance provides good sensitivity with acceptable accuracy.
## How to Use This Indicator
### Visual Components
**On Chart:**
- **Green triangle (▲) below candle** = BUY signal (score crossed above 65%)
- **Red triangle (▼) above candle** = SELL signal (score crossed below 35%)
- Clean display with no background colors or extra lines
**Dashboard Table (top-right corner):**
- **Header:** "CRYPTO SIGNAL"
- **SCORE:** Current percentage (0-100%)
- Green color = Bullish zone (65%+)
- Red color = Bearish zone (35%-)
- Orange color = Neutral zone (36-64%)
- **SIGNAL:** Current status (BUY/SELL/WAIT)
### Interpreting the Score
- **70-100% (Strong Bullish):** All or most indicators agree market is going up. Consider long positions.
- **65-69% (BUY Signal Zone):** Enough confirmation for entry. BUY signals trigger here.
- **36-64% (Neutral Zone):** No clear direction. Wait for clearer setup or maintain existing positions.
- **31-35% (SELL Signal Zone):** Enough confirmation for exit. SELL signals trigger here.
- **0-30% (Strong Bearish):** All or most indicators agree market is going down. Avoid longs or consider shorts.
### Step-by-Step Usage
1. **Add to chart:** Click "Add to favorites" then add from your indicators list
2. **Check the score:** Look at the dashboard table in the top-right corner
3. **Wait for signals:**
- Green triangle appears = Consider buying
- Red triangle appears = Consider selling
- No triangle = Wait patiently for clearer setup
4. **Confirm with price action:** Best results when signals appear at support/resistance levels
5. **Use risk management:** Always set stop losses (3-5% below entry for longs)
6. **Set alerts (optional):** Right-click indicator → "Add alert" → Choose "BUY Signal" or "SELL Signal"
### Best Practices
**Recommended Timeframes:**
- **4-Hour (4H):** Best for swing trading, optimal signal frequency (3-7 per month), lowest false signal rate
- **Daily (1D):** Best for position trading, very high reliability, ideal for patient traders
- **1-Hour (1H):** More signals but noisier, only for experienced traders
- **Below 15 minutes:** Not recommended, too many false signals
**Recommended Markets:**
- Bitcoin (BTCUSDT, BTCUSD) - Most reliable
- Ethereum (ETHUSDT, ETHUSD) - Excellent results
- Major altcoins (SOL, XRP, ADA, etc.) - Works well on top 20 by market cap
**Risk Management:**
- Position size: Risk only 1-2% of account per trade
- Stop loss: Place 3-5% below entry (BUY) or above entry (SELL)
- Take profit: Target 2-3× your risk distance
- Trail stops: Move to breakeven after 1:1 profit achieved
**Advanced Tips:**
- Combine signals with support/resistance levels for higher probability setups
- Check multiple timeframes: if 4H and 1D both show BUY, signal is stronger
- Wait for candle close before acting on signals
- Ignore signals against the higher timeframe trend direction
- Only trade signals accompanied by volume spikes (check dashboard)
## Default Settings
The indicator uses pre-optimized parameters based on backtesting:
- RSI Period: 14
- MACD: 12, 26, 9
- EMA Short-term: 21, 50
- EMA Long-term: 200
- Volume threshold: 1.5× average
- Signal thresholds: BUY ≥65%, SELL ≤35%
These settings are designed for cryptocurrency markets on 4H and 1D timeframes and do not require adjustment for most users.
## Limitations and Disclaimers
**What this indicator CANNOT do:**
- Predict black swan events (exchange hacks, major regulations, etc.)
- Work effectively during extreme market manipulation
- Replace proper risk management and stop losses
- Guarantee profits (no indicator can)
- Account for fundamental news (Fed decisions, major announcements)
**When signals may be less reliable:**
- Low volume periods (weekends, holidays)
- High-impact news events
- Extreme volatility (>10% daily price moves)
- Prolonged sideways/ranging markets
**Important warnings:**
- This is a technical analysis tool, not financial advice
- Past performance does not guarantee future results
- Always use stop losses to protect capital
- Test the indicator with small positions first
- Do your own research before trading
## Technical Specifications
- **Pine Script Version:** v5
- **Type:** Overlay indicator
- **Signals:** Non-repainting (confirmed at candle close only)
- **Calculation frequency:** Every bar recalculates based on current values
- **Alerts:** Available for BUY and SELL threshold crossings
- **Resource usage:** Optimized for efficient runtime performance
## Additional Notes
- Signals appear only once when threshold is crossed (no repeated signals during same trend)
- Volume filter helps eliminate low-conviction signals
- Works on any cryptocurrency pair with sufficient liquidity
- Can be combined with other indicators for additional confirmation
- Suitable for both beginners (simple visual signals) and experienced traders (customizable for deeper analysis)
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**This indicator provides educational value by demonstrating how multi-indicator confirmation systems work and how weighted scoring can reduce false signals compared to using individual indicators alone.**
AI-Enhanced MSS HunterAI-Enhanced MSS Hunter
This indicator is a hybrid trading system that merges Mechanical Price Action (ICT Concepts) with Statistical Machine Learning (K-Nearest Neighbors). It is designed to assist traders in identifying high-probability reversals after liquidity sweeps, as well as trend-continuation entries during specific "Kill Zone" sessions.
How It Works
The script operates on a strict 3-step validation process to filter out false signals during choppy market conditions.
1. Liquidity Sweep (The Trigger) The system automatically plots the Previous Day High (PDH) and Previous Day Low (PDL).
The logic begins only when price "sweeps" (breaks) one of these key levels.
State Persistence: Once a level is swept, the system remembers this event for the remainder of the session (or until a signal fires), waiting for the market to reverse.
2. Market Structure Shift (The Setup) After a sweep, the indicator hunts for a Market Structure Shift (MSS).
It tracks dynamic Swing Highs and Swing Lows.
A signal is prepared only if price breaks a recent structural swing point in the opposite direction of the sweep (e.g., Sweep PDL -> Break Swing High).
3. AI / Machine Learning Filter (The Confirmation) To reduce false positives, the signal must be confirmed by a K-Nearest Neighbors (KNN) algorithm.
The Logic: The script analyzes the current values of RSI (14), CCI (14), and ROC (10).
The Comparison: It looks back at the last ~1,000 bars of history to find similar market conditions (neighbors).
The Prediction: If the majority of those historical "neighbors" resulted in a favorable move, the AI confirms the trade. If historical data suggests chop or reversal, the signal is blocked.
Key Features
🎯 Primary Reversal Signals (Circles)
Green Circle: Price swept PDL + Bullish MSS + AI Confirmation.
Red Circle: Price swept PDH + Bearish MSS + AI Confirmation.
♻️ Golden Zone Re-Entries (Triangles) Once a Primary Signal is active, the script tracks the new trend leg.
It automatically draws a dynamic Golden Zone (0.5 – 0.618 Fibonacci Retracement).
If price pulls back into this zone and forms a new MSS, a Re-Entry Triangle is plotted.
Invalidation: If the pullback breaks the original setup's low/high, the zone is removed to prevent bad trades.
⏰ Kill Zone Time Filters Signals are filtered by time to ensure you are trading during high-volume sessions.
Default AM Session: 08:30 – 10:00 (New York Time)
Default PM Session: 14:00 – 15:00 (New York Time)
Fully customizable in settings.
Settings Guide
Key Levels: Toggle PDH/PDL lines and customize colors.
Kill Zones: Enable/Disable time filtering and highlight background colors.
AI Settings:
K-Nearest Neighbors (k): Number of historical neighbors to compare (Default: 5).
Training Window: How far back the AI looks for patterns (Default: 1000 bars).
Visuals: Turn on/off the Golden Zone fib clouds or text labels.
Disclaimer
This tool is for educational purposes only. The "AI" component is a statistical classification algorithm based on historical momentum and does not guarantee future results. Always manage risk and use this indicator as part of a comprehensive trading plan.
Auto Fibonacci Lines Depending on ZigZag %In the world of technical analysis, few tools are as powerful—or as misused—as Fibonacci Retracements. The Auto Fibonacci Lines Depending on ZigZag % is not just an indicator; it is a complete, automated trading system designed to eliminate subjectivity and bring institutional-grade precision to your charts.
This script automates the identification of significant market structures using a ZigZag algorithm. Once a market swing is mathematically confirmed (based on your deviation settings), it instantly projects a complete suite of Retracement and Extension levels. This allows you to stop guessing where to draw your lines and start focusing on price action.
🧠 The Logic Behind the Indicator
Understanding how your tools work is the first step to trusting them. This script operates on a three-step logic loop:
ZigZag Identification:
The script continuously monitors price action relative to the last known pivot point. It uses a user-defined Deviation % to filter out market noise. A new "Leg" is only confirmed when price reverses by this specific percentage. This ensures that the Fibonacci lines are only drawn on significant market moves, not random chop.
Automated Anchor Points:
Once a downward trend is confirmed (e.g., price drops 30% from the top), the script automatically anchors the Fibonacci tool to the Swing High (Start) and the Swing Low (End). It does this without you needing to click or drag anything.
Dynamic Cleanup:
Markets evolve. A key feature of this script is its self-cleaning mechanism. As soon as a new trend leg is confirmed, the script automatically deletes the old, invalidated Fibonacci lines and draws a fresh set for the new structure. This keeps your chart clean and focused on the now.
🎓 How to Trade This System
This indicator is color-coded to simplify your decision-making process. It moves beyond standard "rainbow" charts by categorizing price levels into three distinct actionable zones.
1. The "Reload Zone" (White Lines: 0.618 - 0.786) ⚪
Role: High-Probability Support / Entry
In institutional trading, the 0.618 (Golden Ratio) to 0.786 region is often where algorithms step in to defend a trend.
Why it works : This is the "discount" area where smart money re-accumulates positions before the next leg up.
2. The "Decision Wall" (Blue Lines: 1.382 - 1.5) 🔵
Role: Strong Resistance / Trend Check
This is a unique feature of this suite. The 1.382 and 1.5 levels often act as a "ceiling" for weak breakouts.
Strategy : If you entered in the White Zone, the Blue Zone is your first major hurdle. If price stalls here, consider securing partial profits.
Warning : A rejection from the Blue Lines often leads to a double-top formation. However, a clean break above the Blue Lines usually signals a parabolic move is beginning.
3. The "Extension Zone" (Yellow, Red, Purple > 1.618) 🟡🔴
Role : Take Profit / Exhaustion
Levels above 1.5 (starting with the 1.618 Golden Extension) are statistical extremes.
Strategy : These are Strict Take Profit levels. Do not FOMO (Fear Of Missing Out) into new long positions here. The probability of a reversal increases drastically as price climbs through these levels (2.618, 3.618, 4.618).
📐 The Mathematical Edge: Logarithmic vs. Linear
One of the most critical features of this script is the ability to toggle between Logarithmic and Linear calculations.
Why use Logarithmic?
If you are trading Crypto (Bitcoin, Altcoins) or high-growth Tech Stocks, linear Fibonacci levels are mathematically incorrect over large moves. A 50% drop from $100 is different than a 50% drop from $10.
This script calculates the percentage difference (Log Scale), ensuring your targets are accurate even during 100%+ parabolic runs.
Why use Linear?
For mature markets like Forex (EURUSD) or Indices (SPX500) where volatility is lower, Linear scaling is the industry standard.
🛠️ Configuration & Best Practices
Deviation % : This is the heartbeat of the indicator.
Swing Trading : Set to 20-30%. This filters out noise and only draws Fibs on major macro moves.
Scalping : Set to 3-5%. This will catch smaller intraday waves.
Text Place : Keeps your chart clean by pushing labels to the right, ensuring they don't overlap with the current price action.
👤 Who Is This Indicator For?
The Disciplined Trader : Who wants to remove emotional bias from their charting.
The Crypto Investor : Who needs accurate Logarithmic targets for long-term holding.
The Confluence Trader : Who combines these automated levels with Order Blocks, RSI, or Volume to find the perfect entry.
⚠️ RISK DISCLAIMER & TERMS OF USE
For Educational Purposes Only:
This script and the strategies described herein are provided strictly for educational and informational purposes. They do not constitute financial, investment, or trading advice. The "Auto Fibonacci Lines" indicator is a tool for technical analysis and should not be used as the sole basis for any trading decision.
No Guarantees:
Past performance of any trading system or methodology is not necessarily indicative of future results. Financial markets are inherently volatile, and trading involves a high level of risk. You could lose some or all of your capital.
User Responsibility:
By using this script, you acknowledge that you are solely responsible for your own trading decisions and risk management. The author assumes no liability for any losses or damages resulting from the use of this tool or the information provided. Always consult with a qualified financial advisor before making investment decisions.
High Volume Footprint BreakoutThe High Volume Footprint Breakout indicator brings institutional-grade Order Flow analysis to your standard TradingView charts. By looking inside the candles using intrabar data, this tool identifies specific price levels where massive, aggressive buying or selling volume has occurred.
Unlike standard Volume Profiles which show volume over a long period, this indicator isolates specific moments of high-intensity participation. It draws extended support and resistance lines from these "High Volume Nodes," helping you identify where institutions have stepped in and where trapped traders might exist.
Why Use This Indicator?
Standard candlestick charts show you where price went, but they hide how it got there. A candle might look normal, but inside that candle, there could be a massive battle between buyers and sellers at a specific price level.
Reveal Hidden Liquidity : Find the exact price levels that defended a move.
Filter the Noise : Instead of showing every volume node, this script only highlights Breakout Levels —areas where the single-price volume exceeded a historical maximum (e.g., the highest volume node in the last 20 bars).
No External Tools Needed : Replicates the logic of professional Footprint/Order Flow software using native TradingView data.
How It Works (The Logic)
This script uses a strict algorithm to reconstruct a virtual "Footprint" of the market:
Intrabar Analysis : It accesses lower timeframe data (e.g., 1-minute data inside a Daily bar) to analyze price action at a granular level.
Volume Categorization : It separates volume into Buy Volume (Aggressive Buyers) and Sell Volume (Aggressive Sellers) based on price movement logic.
Volume Distribution : To ensure accuracy, it distributes the volume of intrabar candles across their High-Low range, preventing artificial volume spikes on single ticks.
Breakout Detection : It compares the highest volume node of the current bar against the highest nodes of the previous X bars. If the current volume is a new local record, a line is drawn.
How to Trade This Indicator
1. The Standard Rejection (Trend Continuation)
Green Lines (Aggressive Buyers) : These levels represent areas where buyers stepped in with massive force. In an uptrend, expect price to bounce off these lines. Treat them as Support.
Red Lines (Aggressive Sellers) : These levels represent areas where sellers unloaded heavy positions. In a downtrend, expect price to reject these lines. Treat them as Resistance.
2. The "Flip" Setup (Trapped Traders)
This is an advanced Order Flow concept. When the market disrespects a high-volume level, it creates "Trapped Traders."
Red Line Acting as Support : If price breaks above a Red (Sell) line and holds, the aggressive sellers at that level are now trapped underwater. When price returns to this line, these sellers often buy to close their positions at breakeven, fueling a bounce.
Green Line Acting as Resistance : If price breaks below a Green (Buy) line, the aggressive buyers are trapped. When price rallies back to this line, they often sell to exit, creating resistance.
Settings & Configuration
Auto-Select Intrabar Timeframe :
Enabled (Recommended) : Automatically selects the best resolution (1-min for Intraday/Daily, 60-min for Weekly/Monthly) to match the "Volume Data Source" standards.
Disabled : Allows you to manually force a specific intrabar resolution.
Breakout Lookback Period : Determines how significant a volume spike must be to trigger a line. (Default: 20). Higher values = fewer, stronger lines.
Max Visible Lines : Limits the number of lines on the chart to keep your workspace clean.
Label Offset : Adjusts how far to the right the text labels appear, allowing you to position them perfectly for your screen setup.
Who Should Use This?
Order Flow Traders : Who want footprint-style logic without complex grid charts.
Price Action Traders : Who want objective, data-driven Support & Resistance levels rather than subjective drawings.
Scalpers & Day Traders : Who need to see where the "heavy hands" are transacting in real-time.
Disclaimer & Limitations
Intrabar vs. Tick Data : This script uses TradingView's intrabar data to approximate the footprint. While highly accurate, it may differ slightly from tick-perfect software.
Volume Data Required : This indicator requires the asset to provide real volume data. It works best on Futures, Crypto, and Stocks. It may not work on FOREX pairs that do not provide tick volume.
Does it Repaint?
Short Answer:
No , it does not repaint on closed bars. Once a candle closes and a line is drawn, that line is permanent and will not move or disappear.
Long Answer (The Nuances):
There are two specific scenarios you need to be aware of regarding how TradingView handles data:
1. The "Forming Bar" (Wait for Close)
Behavior : While the current candle is still moving (open), the indicator is calculating the volume in real-time. If a massive volume spike happens right now, a line might appear. If the volume of previous bars suddenly looks smaller by comparison, the condition might change.
Solution : Like almost all indicators, you must wait for the bar to close to confirm the signal. Once the bar closes, the calculation is locked and the line is fixed forever.
2. Historical Data Limits (The "Disappearing History" Issue)
Behavior : This script relies on request.security_lower_tf (e.g., fetching 1-minute data inside a Daily bar). TradingView does not store infinite 1-minute data for every asset. They usually store a few thousand bars of lower timeframe history (more if you have a Premium account).
The Issue : If you scroll back 5 years on a Daily chart, the script will try to fetch the 1-minute data for a day in 2019. If TradingView has deleted that old 1-minute data to save space, the script will receive "empty" data.
Result : You might see lines on the recent chart (last few months/year), but if you scroll back too far, the lines will stop appearing because the underlying data doesn't exist anymore.
Is this Repainting? Technically, no. It's a Data Availability limitation. But it means that what you see on a chart from 5 years ago might look different than what you saw when you were trading it live 5 years ago.
Disclaimer
For Educational and Informational Purposes Only
This indicator is provided for educational and informational purposes only and DOES NOT constitute financial, investment, or trading advice. The "High Volume Footprint Breakout" tool is based on historical data analysis and algorithmic interpretation of market volume; it does not predict future market movements with certainty.
Risk Warning
Trading in financial markets (Stocks, Crypto, Futures, Forex, etc.) involves a high degree of risk and may not be suitable for all investors. You could lose some or all of your initial investment. Past performance of any trading system or methodology is not necessarily indicative of future results.
No Liability
The author of this script assumes no responsibility or liability for any errors or omissions in the content of this indicator, or for any trading losses or damages incurred as a result of using this tool. Users are solely responsible for their own trading decisions and should always use proper risk management. By using this script, you acknowledge and agree to these terms.
[HFT] Leaky Bucket: FPGA-Based Order Flow SimulationDescription:
This indicator is a functional simulation of a hardware-based "Leaky Bucket" algorithm, typically used in FPGA (Field-Programmable Gate Array) chips for High-Frequency Trading (HFT) and network traffic shaping.
Unlike standard volume indicators (like OBV or CMF) that rely on floating-point Moving Averages (EMA/SMA), this script uses Bitwise Integer Math to simulate hardware registers. This approach removes the lag associated with smoothing and provides a raw, "tick-by-tick" representation of Order Flow exhaustion.
█ Underlying Concepts (How it works)
Integer Math & Bitwise Logic: The script eschews standard float calculations for int registers. Instead of division, it uses Bitwise Right Shift (>>) to simulate the "leak" rate. This mimics how hardware processes data streams with near-zero latency.
The Leaky Bucket Model:
Flow (Input): Volume * Price Delta flows into a "Bucket" (Accumulator Register).
Leak (Output): The bucket leaks at a constant rate determined by the Decay Shift.
Saturation: If the Flow > Leak, the bucket fills. We simulate a 32-bit integer saturation limit (sat_limit). When the bucket hits this limit, it represents "Panic Buying/Selling" — the market capability to absorb orders is saturated.
█ Uniqueness & Originality This is custom-built code, not a mashup of existing indicators. It translates hardware logic (Verilog/VHDL concepts) into Pine Script:
It introduces a "Saturation Warning" mechanism that detects when volume pressure exceeds mathematical limits.
It implements a "Gray Line" Strategy, focusing on volatility decay rather than momentum initiation.
█ How to Use: The "Gray Line" Strategy
This tool is designed for Mean Reversion and Exhaustion Trading, specifically on M1 to M5 timeframes.
Do NOT trade the breakout: When you see massive Green (Long) or Purple (Short) bars, this indicates "Extreme Momentum". Do not enter yet. Wait.
Wait for the "Gray Line": The signal is generated when the Extreme Momentum stops and the bar turns Gray (Neutral).
Signal L (Long): Generated when a sequence of Extreme Short bars (Purple) ends, and the histogram returns to Gray/Maroon. This confirms sellers are exhausted.
Signal S (Short): Generated when a sequence of Extreme Long bars (Green) ends, and the histogram returns to Gray/Teal. This confirms buyers are exhausted.
█ Disclaimer This script is intended for educational purposes regarding HFT algorithms and Order Flow analysis. It does not provide financial advice.
Orion Time Matrix | ICT Macros [by AK]ORION TIME MATRIX | ICT MACRO SUITE
The Orion Time Matrix is a precision timing instrument designed to decipher the algorithmic "Heartbeat" and the timing of institutional order flow in US Index Futures markets, specifically Nasdaq (NQ) and S&P 500 (ES).
Inspired by the "Time & Price" teachings of Michael J. Huddleston (The Inner Circle Trader), this tool maps out the specific time windows where algorithms seek liquidity and price delivery is most efficient.
BX-TRENDER IFA19DESCRIPTION:
A proprietary technical analysis tool that combines multiple timeframe analysis with adaptive algorithms to identify high-probability entry and exit points. Utilizes exponential moving averages (EMA), relative strength index (RSI), and volume-weighted analysis to filter false signals and confirm trend strength.
KEY FEATURES:
Real-time signal generation across multiple asset classes
Dynamic support/resistance level identification
Overbought/oversold condition alerts
Divergence detection for reversal opportunities
Customizable parameters for risk tolerance
Multi-timeframe confluence analysis
OPTIMAL USE:
Works across forex, crypto, stocks, and commodities. Best performance on 15-minute to 4-hour timeframes. Integrates seamlessly with existing trading strategies for enhanced decision-making.
METHODOLOGY:
Employs algorithmic smoothing to reduce market noise while maintaining signal accuracy. Backtested across 10+ years of market data with consistent alpha generation.
VRVP Clone + Multi-POC -- PerroGordoVRVP Clone + Multi-POC
Overview
VRVP Clone + Multi-POC replicates TradingView's native Visible Range Volume Profile with several practical enhancements. The indicator displays volume distribution across price levels for the visible chart range, which is useful for identifying high-volume nodes, support/resistance zones, and areas of price acceptance.
The main differentiator from the built-in VRVP is support for multiple Point of Control (POC) lines with an intelligent peak detection algorithm. Instead of just showing the single highest-volume level, you can identify distinct volume clusters across different price zones.
Features
Dynamic Visible Range
Recalculates automatically on scroll or zoom
Analyzes only visible bars
Profile width scales proportionally to view
Multiple POC Detection (1-8 levels)
Volume Nodes Mode: Peak detection algorithm finds local volume maxima across distinct price clusters
Highest Rows Mode: Traditional approach - top N rows by raw volume
Configurable minimum separation between nodes to prevent bunching
Individual colors for each POC level
Volume Display Modes
Up/Down: Split bars showing buy vs. sell volume with black outlines for visual separation
Total: Single bar colored by dominant direction
Delta: Net volume (buy minus sell)
Delta Intensity: Gradient coloring indicating buyer/seller dominance strength per row
Value Area
Configurable percentage (default 70%)
VAH and VAL lines with customizable styles
Separate colors for volume inside vs. outside the Value Area
Positioning Options
Left or Right placement
Adjustable profile width as percentage of visible range
Row configuration via "Number of Rows" or "Ticks Per Row"
Additional Features
Statistics table showing bars analyzed, total volume, up/down percentages, price vs POC
POC price labels on chart
Line style options (Solid, Dashed, Dotted)
+++++
How It Works
Volume from each bar is distributed across price rows based on the bar's high-low range. The allocation is proportional - if a bar spans 3 rows with 60% overlap on one row, that row receives 60% of the bar's volume.
Volume Nodes Mode identifies local peaks in the distribution (rows where volume exceeds both neighbors), then selects the highest peaks while enforcing minimum separation. This surfaces distinct support/resistance clusters rather than stacking all POC lines in a single high-volume area.
+++++
Settings
Inputs
Setting - Description
Rows Layout - "Number of Rows" or "Ticks Per Row"
Row Size - Number of rows (24-200) or ticks per row
Volume - "Up/Down", "Total", "Delta", or source selection
Value Area % - Percentage of volume for Value Area (default 70%)
Profile Width % - Width as percentage of visible bars
Placement - "Right" or "Left" side of chart
Enhancements
Setting - Description
Number of POCs | 1-8 POC lines |
POC Mode - "Volume Nodes" (peak detection) or "Highest Rows" (traditional)
Min Node Separation - Minimum rows between nodes (0 = auto-calculate)
Delta Intensity Mode - Gradient coloring by dominance
Show Stats Table - Display analysis statistics
Style
Setting - Description
Up/Down Volume Colors - Buy/sell volume colors
Value Area Colors - Colors for VA regions
POC/VAH/VAL Colors - Line colors and styles
POC 2-8 Colors - Colors for additional POC levels
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Applications
Support/Resistance Identification
High-volume nodes tend to act as price magnets. Multiple POCs reveal layered S/R zones that aren't visible with a single POC.
Fair Value Reference
The Value Area represents where 70% of volume traded. Price tends to revert to this zone.
Volume Gap Analysis
Low-volume areas between POCs indicate prices that were rejected quickly - potential breakout or breakdown levels.
Market Structure
Multiple POCs across price levels show where the market has found acceptance, useful for distinguishing range-bound conditions from trending moves.
+++++
Practical Notes
Volume Nodes mode with 3-5 POCs works well for identifying distinct S/R clusters
Higher row counts give more granular analysis on lower timeframes
Delta Intensity mode quickly shows buyer/seller dominance at each level without the visual noise of split bars
If POCs are too clustered, increase Min Node Separation; if too spread out, decrease it or set to 0 for auto
The stats table vs POC comparison is useful for quick directional bias assessment
+++++
Requirements
Any instrument with volume data
Works well on futures, forex, and liquid equities
Pine Script v6
+++++
Version History
v1.1
- Added Volume Nodes mode with peak detection
- Expanded to 8 POC levels
- Added Min Node Separation setting
- Fixed POC label positioning for left placement
- Added black outlines to Up/Down volume bars
v1.0
- Initial release replicating VRVP with multi-POC enhancement
- Delta Intensity mode
- Statistics table
Liquidity Trap Detector Pro [PyraTime]The Problem: Why You Get Stopped Out
90% of retail traders place their stop-losses at obvious swing highs and lows. Institutional algorithms ("Smart Money") are programmed to push price through these levels to trigger liquidity, fill their heavy orders, and then immediately reverse the market.
If you have ever had your stop hit right before the market moves exactly where you predicted—you were the victim of a Liquidity Trap.
The Solution: Visualizing the "Stop Hunt"
Liquidity Trap Detector Pro is not just a support/resistance indicator. It is a comprehensive Reversal Scoring Engine.
Unlike standard indicators that spam signals on every wick, this tool uses a proprietary 5-Star Scoring System to analyze the quality of the trap. It validates every signal using Wick Symmetry, RSI Divergence, and Volume Analysis to separate a true reversal from a trend continuation.
Key Features (USP)
- 5-Star Scoring Engine: Every signal is rated from 1 to 5 stars. Stop guessing if a signal is valid; let the algorithm check the confluence for you.
- Glassmorphism Visuals: Gone are the messy lines. We use modern, semi-transparent "Liquidity Zones" that keep your chart clean and professional.
- Smart Terminology: Automatically identifies Bull Traps (Buyers trapped at highs) and Bear Traps (Sellers trapped at lows).
- Heads-Up Display (HUD): A professional dashboard monitors the market state, active filters, and recent trap statistics in real-time.
- Strict Non-Repainting: (Technical Note) This script uses strict non-repainting logic. All Higher Timeframe (HTF) data is confirmed and closed before a signal is generated, ensuring historical accuracy.
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Tutorial: How to Trade This Indicator
1. Understanding the Signals
We use correct institutional terminology to describe the market mechanics:
GREEN Signal (BEAR TRAP):
- What happened: Price swept a Swing Low, enticing sellers (Bears) to enter. The candle then reversed and closed back inside the range, trapping those sellers.
- The Trade: This is a Bullish Reversal setup (Long).
RED Signal (BULL TRAP):
- What happened: Price swept a Swing High, enticing buyers (Bulls) to breakout. The candle reversed and closed lower, trapping the buyers.
- The Trade: This is a Bearish Reversal setup (Short).
2. The 5-Star Scoring System
Not all traps are created equal. The stars tell you how much "Confluence" exists:
- 1 Star: A basic structure sweep. Risky.
- 3 Stars: A solid setup backed by either Volume or Divergence.
- 5 Stars: The "Perfect" Trap. Structure Sweep + RSI Divergence + Volume Spike + Wick Symmetry. High Probability.
3. The Strategy
- Wait for the Zone: Watch price approach a coloured Liquidity Zone.
- Observe the Reaction: Do not trade blindly. Wait for the candle to close.
- Check the Stars: Look for at least 3 Stars before considering an entry.
- Confirm with HUD: Glance at the Dashboard to ensure the "RSI Filter" and "Vol Filter" agree with your analysis.
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Settings Guide
Structure Settings:
- Pivot Lookback: Adjusts how sensitive the zones are (Default: 10/5).
- HTF Confirmation: Optional filter to only show traps that align with Higher Timeframe structure (e.g., 1H or 4H).
Quality Filters:
- RSI Divergence: Requires momentum to disagree with price (classic reversal sign).
- Volume Spike: Requires volume to be higher than average (Smart Money footprint).
Visuals:
- Clean Mode: A presenter-favorite feature. Hides all historical zones and leaves only the active setup—perfect for taking screenshots or sharing analysis.
Disclaimer
This tool is designed to assist with technical analysis and identifying potential areas of interest. It does not guarantee profits. Trading involves significant risk; always use proper risk management.
Auto-Anchored Fibonacci Volume Profile [Custom Array Engine]Description:
1. The Theoretical Foundation: Structure vs. Participation In professional technical analysis, traders often struggle to reconcile two distinct datasets: Price Geometry (where price should go) and Market Participation (where money actually went).
Why Fibonacci? (The Structure) Fibonacci Retracements map the mathematical structure of a trend. They identify psychological and algorithmic "interest zones" (0.382, 0.5, 0.618) where a correction is statistically likely to terminate. However, Fibonacci levels are theoretical—they are "lines in the sand" that do not guarantee liquidity or reaction.
Why Volume Profile? (The Verification) Volume Profile maps the historical exchange of shares at specific price levels. It reveals "fair value" (High Volume Nodes) and "market imbalance" (Low Volume Nodes). It is the only tool that verifies if a specific price level was actually accepted by institutional participants.
2. Underlying Calculations (The Custom Engine) This script operates on a custom-built calculation engine that bypasses standard built-in functions entirely. It uses Pine Script Arrays to build a Volume Profile from scratch. Here is the breakdown of the proprietary code logic:
A. The "Smart-Fill" Distribution Algorithm (Solves Gapping)
The Problem: Standard volume scripts often assign a candle's entire volume to a single price row. In volatile markets or steep trends, this creates visual "gaps" or a "barcode" effect because price moved too fast to register on every row.
My Solution: I wrote a custom loop that calculates the vertical overlap of every candle against the profile grid.
The Math: Volume Per Bin = Total Candle Volume / Bins Touched.
The Result: If a single volatile candle spans 10 price rows (bins), the script mathematically divides that volume and distributes it equally into all 10 array indices. This generates a solid, continuous distribution curve that accurately reflects price action through the entire candle range, not just the close.
B. Dynamic Arrays & Split-Volume Logic The script initializes two separate floating-point arrays (buyVolArray and sellVolArray) sized to the user's resolution (up to 300 rows). It iterates through the specific time-window of the swing:
If Close >= Open, the calculated volume slice is injected into the Buy Array.
If Close < Open, it is injected into the Sell Array.
These arrays are then visually stacked to render the dual-color profile, allowing traders to see the "Delta" (Buyer vs. Seller aggression) at key structural levels.
C. Custom Garbage Collection (Performance) To enable the "Auto-Anchoring" feature without causing chart lag or visual artifacts ("ghosting"), the script includes a Garbage Collection System. Before drawing a new profile, the script iterates through a tracking array of all existing objects (box.delete, line.delete) and clears them from memory. This ensures the indicator remains lightweight and responsive even when dragging chart margins or switching timeframes.
3. The Synthesis: Why Combine Them? The core philosophy of this script is Confluence . A Fibonacci level without volume is merely a suggestion; a Fibonacci level backed by volume is a defensive wall. By algorithmically anchoring a Volume Profile to the exact coordinates of a Fibonacci swing, this tool allows traders to instantly answer critical questions:
"Is the Golden Pocket (0.618) supported by a High Volume Node (HVN), or is it a Low Volume Node (LVN) that price might slice through?"
"Is the Shallow Retracement (0.382) holding because of structural support, or just a lack of selling pressure?"
4. How to Read the Indicator
The Geometry: The script automatically detects the trend and draws standard Fib levels (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0).
The Confluence Check: Look for the Point of Control (Red Line). If this High Volume Node aligns with a key Fib level (e.g., the 0.618), the probability of a reversal increases significantly.
The Imbalance Check: Look for "Valleys" in the profile (Low Volume Nodes). These gaps often act as "slippage zones" where price travels quickly between structural levels.
Buy/Sell Splits: The dual-color bars (Teal/Red) reveal the composition of the volume. A 0.618 level held up by dominant Buy Volume is a stronger bullish signal than one with mixed volume.
5. Settings & Customization
Lookback Length: Sensitivity of the swing detection (Default: 200 bars).
Resolution: Granularity of the profile rows (Default: 100). Higher values provide smoother definition.
Width (%): Responsive sizing that scales the profile relative to the trend's duration.
Extend Lines: Option to project structural levels infinitely to the right.
Disclaimer This script is an analytical tool for visualizing historical market data. It does not provide trade signals or financial advice.
X-Trend Macro Command CenterX-Trend Macro Command Center (MCC) | Institutional Grade Dashboard
📝 Description Body
The Invisible Engine of the Market Revealed.
Traders often focus solely on Price Action, ignoring the massive underwater currents that actually drive trends: Global Liquidity, Inflation, and Central Bank Policy. We created X-Trend Macro Command Center (MCC) to solve this problem.
This is not just an indicator. It is a fundamental heads-up display that bridges the gap between technical charts and macroeconomic reality.
💡 The Idea & Philosophy
Markets don't move in a vacuum. Bull runs are fueled by M2 Money Supply expansion and negative real yields. Crashes are triggered by liquidity crunches and aggressive rate hikes. X-Trend MCC was built to give retail traders the same "Macro Awareness" that institutional desks possess. It aggregates fragmented economic data from Federal Reserve databases (FRED) directly onto your chart in real-time.
🚀 Application & Logic
This tool is designed for Trend Traders, Crypto Investors, and Macro Analysts.
Identify the Regime: Instantly see if the environment is "RISK ON" (High Liquidity, Low Real Rates) or "RISK OFF" (Monetary Tightening).
Validate the Trend: Don't buy the dip if Liquidity (M2) is crashing. Don't short the rally if Real Yields are negative.
Multi-Region Analysis: Switch instantly between economic powerhouses (US, China, Japan) to see where the capital is flowing.
📊 Dashboard Metrics Explained
Every row in the Command Center tells a specific story about the economy:
Interest Rate: The "Gravity" of finance. Higher rates weigh down risk assets (Stocks/Crypto).
Inflation (YoY): The erosion of purchasing power. We calculate this dynamically based on CPI data.
Real Yield (The "Golden" Metric): Calculated as Interest Rate - Inflation.
Green: Real Yield is low/negative. Cash is trash, assets fly.
Red: Real Yield is high. Cash is King, assets struggle.
US Debt & GDP: Fiscal health indicators formatted in Trillions ($T). Watch the Debt-to-GDP ratio—if it spikes >120%, expect currency debasement.
M2 Money Supply: The fuel tank of the market. Tracks the total amount of money in circulation.
↗ Trend: Liquidity is entering the system (Bullish).
↘ Trend: Liquidity is drying up (Bearish).
🧩 The X-Trend Ecosystem
X-Trend MCC is just the tip of the iceberg. This module is part of the larger X-Trend Project — a comprehensive suite of algorithmic tools being developed to quantify market chaos. While our Price Action algorithms (Lite/Pro/Ultra) handle the Micro, the MCC handles the Macro.
Technical Note:
Data Sources: Direct connection to FRED (Federal Reserve Economic Data).
Zero Repainting: Historical data is requested strictly using closed bars to ensure accuracy.
Open Source: We believe in transparency. The code is open for study under MPL 2.0.
Build by Dev0880 | X-Trend © 2025
CEF (Chaos Theory Regime Oscillator)Chaos Theory Regime Oscillator
This script is open to the community.
What is it?
The CEF (Chaos Entropy Fusion) Oscillator is a next-generation "Regime Analysis" tool designed to replace traditional, static momentum indicators like RSI or MACD. Unlike standard oscillators that only look at price changes, CEF analyzes the "character" of the market using concepts from Chaos Theory and Information Theory.
It combines advanced mathematical engines (Hurst Exponent, Entropy, VHF) to determine whether a price movement is a real trend or just random noise. It uses a novel "Adaptive Normalization" technique to solve scaling problems common in advanced indicators, ensuring the oscillator remains sensitive yet stable across all assets (Crypto, Forex, Stocks).
What It Promises:
Intelligent Filtering: Filters out false signals in sideways (volatile) markets using the Hurst Base to measure trend continuity.
Dynamic Adaptation: Automatically adapts to volatility. Thanks to trend memory, it doesn't get stuck at the top during uptrends or at the bottom during downtrends.
No Repainting: All signals are confirmed at the close of the bar. They don't repaint or disappear.
What It Doesn't Promise:
Magic Wand: It's a powerful analytical tool, not a crystal ball. It determines the regime, but risk management is up to the investor.
Late-Free Holy Grail: It deliberately uses advanced correction algorithms (WMA/SMA) to provide stability and filter out noise. Speed is sacrificed for accuracy.
Which Concepts Are Used for Which Purpose?
CEF is built on proven mathematical concepts while creating a unique "Fusion" mechanism. These are not used in their standard forms, but are remixed to create a consensus engine:
Hurst Exponent: Used to measure the "memory" of the time series. Tells the oscillator whether there is a probability of the trend continuing or reversing to the mean.
Vertical Horizontal Filter (VHF): Determines whether the market is in a trend phase or a congestion phase.
Shannon Entropy: Measures the "irregularity" or "unpredictability" of market data to adjust signal sensitivity.
Adaptive Normalization (Key Innovation): Instead of fixed limits, the oscillator dynamically scales itself based on recent historical performance, solving the "flat line" problem seen in other advanced scripts.
Original Methodology and Community Contribution
This algorithm is a custom synthesis of public domain mathematical theories. The author's unique contribution lies in the "Adaptive Normalization Logic" and the custom weighting of Chaos components to filter momentum.
Why Public Domain? Standard indicators (RSI, MACD) were developed for the markets of the 1970s. Modern markets require modern mathematics. This script is presented to the community to demonstrate how Regime Analysis can improve trading decisions compared to static tools.
What Problems Does It Solve?
Problem 1: The "Stagnant Market" Trap
CEF Solution: While the RSI gives false signals in a sideways market, CEF's Hurst/VHF filter suppresses the signal, essentially making the histogram "off" (or weak) during noise.
Problem 2: The "Overbought" Fallacy
CEF Solution: In a strong trend (Pump/Dump), traditional oscillators get stuck at 100 or 0. CEF uses "Trend Memory" to understand that an overbought price is not a reversal signal but a sign of trend strength, and keeps the signal green/red instead of reversing it prematurely. Problem 3: Visual Confusion
CEF Solution: Instead of multiple lines, it presents a single, color-coded histogram featuring only prominent "Smart Circles" at high-probability reversal points.
Automation Ready: Custom Alerts
CEF is designed for both manual trading and automation.
Smart Buy/Sell Circles: Visual signals that only appear when trend filters are aligned with momentum reversals.
Deviation Labels: Automatically detects and labels structural divergences between price and entropy.
Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always practice appropriate risk management.
Gyspy Bot Trade Engine - V1.2B - Alerts - 12-7-25 - SignalLynxGypsy Bot Trade Engine (MK6 V1.2B) - Alerts & Visualization
Brought to you by Signal Lynx | Automation for the Night-Shift Nation 🌙
1. Executive Summary & Architecture
Gypsy Bot (MK6 V1.2B) is not merely a strategy; it is a massive, modular Trade Engine built specifically for the TradingView Pine Script V6 environment. While most tools rely on a single dominant indicator to generate signals, Gypsy Bot functions as a sophisticated Consensus Algorithm.
Note: This is the Indicator / Alerts version of the engine. It is designed for visual analysis and generating live alert signals for automation. If you wish to see Backtest data (Equity Curves, Drawdown, Profit Factors), please use the Strategy version of this script.
The engine calculates data from up to 12 distinct Technical Analysis Modules simultaneously on every bar closing. It aggregates these signals into a "Vote Count" and only fires a signal plot when a user-defined threshold of concurring signals is met. This "Voting System" acts as a noise filter, requiring multiple independent mathematical models—ranging from volume flow and momentum to cyclical harmonics and trend strength—to agree on market direction.
Beyond entries, Gypsy Bot features a proprietary Risk Management suite called the Dump Protection Team (DPT). This logic layer operates independently of the entry modules, specifically scanning for "Moon" (Parabolic) or "Nuke" (Crash) volatility events to signal forced exits, preserving capital during Black Swan events.
2. ⚠️ The Philosophy of "Curve Fitting" (Must Read)
One must be careful when applying Gypsy Bot to new pairs or charts.
To be fully transparent: Gypsy Bot is, by definition, a very advanced curve-fitting engine. Because it grants the user granular control over 12 modules, dozens of thresholds, and specific voting requirements, it is extremely easy to "over-fit" the data. You can easily toggle switches until the charts look perfect in hindsight, only to have the signals fail in live markets because they were tuned to historical noise rather than market structure.
To use this engine successfully:
Visual Verification: Do not just look for "green arrows." Look for signals that occur at logical market structure points.
Stability: Ensure signals are not flickering. This script uses closed-candle logic for key decisions to ensure that once a signal plots, it remains painted.
Regular Maintenance is Mandatory: Markets shift regimes (e.g., from Bull Trend to Crab Range). Gypsy Bot settings should be reviewed and adjusted at regular intervals to ensure the voting logic remains aligned with current market volatility.
Timeframe Recommendations:
Gypsy Bot is optimized for High Time Frame (HTF) trend following. It generally produces the most reliable results on charts ranging from 1-Hour to 12-Hours, with the 4-Hour timeframe historically serving as the "sweet spot" for most major cryptocurrency assets.
3. The Voting Mechanism: How Entries Are Generated
The heart of the Gypsy Bot engine is the ActivateOrders input (found in the "Order Signal Modifier" settings).
The engine constantly monitors the output of all enabled Modules.
Long Votes: GoLongCount
Short Votes: GoShortCount
If you have 10 Modules enabled, and you set ActivateOrders to 7:
The engine will ONLY plot a Buy Signal if 7 or more modules return a valid "Buy" signal on the same closed candle.
If only 6 modules agree, the signal is rejected.
4. Technical Deep Dive: The 12 Modules
Gypsy Bot allows you to toggle the following modules On/Off individually to suit the asset you are trading.
Module 1: Modified Slope Angle (MSA)
Logic: Calculates the geometric angle of a moving average relative to the timeline.
Function: Filters out "lazy" trends. A trend is only considered valid if the slope exceeds a specific steepness threshold.
Module 2: Correlation Trend Indicator (CTI)
Logic: Measures how closely the current price action correlates to a straight line (a perfect trend).
Function: Ensures that we are moving up with high statistical correlation, reducing fake-outs.
Module 3: Ehlers Roofing Filter
Logic: A spectral filter combining High-Pass (trend removal) and Super Smoother (noise removal).
Function: Isolates the "Roof" of price action to catch cyclical turning points before standard moving averages.
Module 4: Forecast Oscillator
Logic: Uses Linear Regression forecasting to predict where price "should" be relative to where it is.
Function: Signals when the regression trend flips. Offers "Aggressive" and "Conservative" calculation modes.
Module 5: Chandelier ATR Stop
Logic: A volatility-based trend follower that hangs a "leash" (ATR multiple) from extremes.
Function: Used as an entry filter. If price is above the Chandelier line, the trend is Bullish.
Module 6: Crypto Market Breadth (CMB)
Logic: Pulls data from multiple major tickers (BTC, ETH, and Perpetual Contracts).
Function: Calculates "Market Health." If Bitcoin is rising but the rest of the market is dumping, this module can veto a trade.
Module 7: Directional Index Convergence (DIC)
Logic: Analyzes the convergence/divergence between Fast and Slow Directional Movement indices.
Function: Identifies when trend strength is expanding.
Module 8: Market Thrust Indicator (MTI)
Logic: A volume-weighted breadth indicator using Advance/Decline and Volume data.
Function: One of the most powerful modules. Confirms that price movement is supported by actual volume flow. Recommended setting: "SSMA" (Super Smoother).
Module 9: Simple Ichimoku Cloud
Logic: Traditional Japanese trend analysis.
Function: Checks for a "Kumo Breakout." Price must be fully above/below the Cloud to confirm entry.
Module 10: Simple Harmonic Oscillator
Logic: Analyzes harmonic wave properties to detect cyclical tops and bottoms.
Function: Serves as a counter-trend or early-reversal detector.
Module 11: HSRS Compression / Super AO
Logic: Detects volatility compression (HSRS) or Momentum/Trend confluence (Super AO).
Function: Great for catching explosive moves resulting from consolidation.
Module 12: Fisher Transform (MTF)
Logic: Converts price data into a Gaussian normal distribution.
Function: Identifies extreme price deviations. Uses Multi-Timeframe (MTF) logic to ensure you aren't trading against the major trend.
5. Global Inhibitors (The Veto Power)
Even if 12 out of 12 modules vote "Buy," Gypsy Bot performs a final safety check using Global Inhibitors.
Bitcoin Halving Logic: Prevents trading during chaotic weeks surrounding Halving events (dates projected through 2040).
Miner Capitulation: Uses Hash Rate Ribbons to identify bearish regimes when miners are shutting down.
ADX Filter: Prevents trading in "Flat/Choppy" markets (Low ADX).
CryptoCap Trend: Checks the total Crypto Market Cap chart for broad market alignment.
6. Risk Management & The Dump Protection Team (DPT)
Even in this Indicator version, the RM logic runs to generate Exit Signals.
Dump Protection Team (DPT): Detects "Nuke" (Crash) or "Moon" (Pump) volatility signatures. If triggered, it plots an immediate Exit Signal (Yellow Plot).
Advanced Adaptive Trailing Stop (AATS): Dynamically tightens stops in low volatility ("Dungeon") and loosens them in high volatility ("Penthouse").
Staged Take Profits: Plots TP1, TP2, and TP3 events on the chart for visual confirmation or partial exit alerts.
7. Recommended Setup Guide
When applying Gypsy Bot to a new chart, follow this sequence:
Set Timeframe: 4 Hours (4H).
Tune DPT: Adjust "Dump/Moon Protection" inputs first. These filter out bad signals during high volatility.
Tune Module 8 (MTI): Experiment with the MA Type (SSMA is recommended).
Select Modules: Enable/Disable modules based on the asset's personality (Trending vs. Ranging).
Voting Threshold: Adjust ActivateOrders to filter out noise.
Alert Setup: Once visually satisfied, use the "Any Alert Function Call" option when creating an alert in TradingView to capture all Buy/Sell/Close events generated by the engine.
8. Technical Specs
Engine Version: Pine Script V6
Repainting: This indicator uses Closed Candle data for all Risk Management and Entry decisions. This ensures that signals do not vanish after the candle closes.
Visuals:
Blue Plot: Buy/Sell Signal.
Yellow Plot: Risk Management (RM) / DPT Close Signal.
Green/Lime/Olive Plots: Take Profit hits.
Disclaimer:
This script is a complex algorithmic tool for market analysis. Past performance is not indicative of future results. Cryptocurrency trading involves substantial risk of loss. Use this tool to assist your own decision-making, not to replace it.
9. About Signal Lynx
Automation for the Night-Shift Nation 🌙
Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management.
We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to:
Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators
Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend
If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source).
If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
Gyspy Bot Trade Engine - V1.2B - Strategy 12-7-25 - SignalLynxGypsy Bot Trade Engine (MK6 V1.2B) - Ultimate Strategy & Backtest
Brought to you by Signal Lynx | Automation for the Night-Shift Nation 🌙
1. Executive Summary & Architecture
Gypsy Bot (MK6 V1.2B) is not merely a strategy; it is a massive, modular Trade Engine built specifically for the TradingView Pine Script environment. While most strategies rely on a single dominant indicator (like an RSI cross or a MACD flip) to generate signals, Gypsy Bot functions as a sophisticated Consensus Algorithm.
The engine calculates data from up to 12 distinct Technical Analysis Modules simultaneously on every bar closing. It aggregates these signals into a "Vote Count" and only executes a trade entry when a user-defined threshold of concurring signals is met. This "Voting System" acts as a noise filter, requiring multiple independent mathematical models—ranging from volume flow and momentum to cyclical harmonics and trend strength—to agree on market direction before capital is committed.
Beyond entries, Gypsy Bot features a proprietary Risk Management suite called the Dump Protection Team (DPT). This logic layer operates independently of the entry modules, specifically scanning for "Moon" (Parabolic) or "Nuke" (Crash) volatility events to force-exit positions, overriding standard stops to preserve capital during Black Swan events.
2. ⚠️ The Philosophy of "Curve Fitting" (Must Read)
One must be careful when applying Gypsy Bot to new pairs or charts.
To be fully transparent: Gypsy Bot is, by definition, a very advanced curve-fitting engine. Because it grants the user granular control over 12 modules, dozens of thresholds, and specific voting requirements, it is extremely easy to "over-fit" the data. You can easily toggle switches until the backtest shows a 100% win rate, only to have the strategy fail immediately in live markets because it was tuned to historical noise rather than market structure.
To use this engine successfully, you must adopt a specific optimization mindset:
Ignore Raw Net Profit: Do not tune for the highest dollar amount. A strategy that makes $1M in the backtest but has a 40% drawdown is useless.
Prioritize Stability: Look for a high Profit Factor (1.5+), a high Percent Profitable, and a smooth equity curve.
Regular Maintenance is Mandatory: Markets shift regimes (e.g., from Bull Trend to Crab Range). Parameters that worked perfectly in 2021 may fail in 2024. Gypsy Bot settings should be reviewed and adjusted at regular intervals (e.g., quarterly) to ensure the voting logic remains aligned with current market volatility.
Timeframe Recommendations:
Gypsy Bot is optimized for High Time Frame (HTF) trend following. It generally produces the most reliable results on charts ranging from 1-Hour to 12-Hours, with the 4-Hour timeframe historically serving as the "sweet spot" for most major cryptocurrency assets.
3. The Voting Mechanism: How Entries Are Generated
The heart of the Gypsy Bot engine is the ActivateOrders input (found in the "Order Signal Modifier" settings).
The engine constantly monitors the output of all enabled Modules.
Long Votes: GoLongCount
Short Votes: GoShortCount
If you have 10 Modules enabled, and you set ActivateOrders to 7:
The engine will ONLY trigger a Buy Entry if 7 or more modules return a valid "Buy" signal on the same closed candle.
If only 6 modules agree, the trade is rejected.
This allows you to mix "Leading" indicators (Oscillators) with "Lagging" indicators (Moving Averages) to create a high-probability entry signal that requires momentum, volume, and trend to all be in alignment.
4. Technical Deep Dive: The 12 Modules
Gypsy Bot allows you to toggle the following modules On/Off individually to suit the asset you are trading.
Module 1: Modified Slope Angle (MSA)
Logic: Calculates the geometric angle of a moving average relative to the timeline.
Function: It filters out "lazy" trends. A trend is only considered valid if the slope exceeds a specific steepness threshold. This helps avoid entering trades during weak drifts that often precede a reversal.
Module 2: Correlation Trend Indicator (CTI)
Logic: Based on John Ehlers' work, this measures how closely the current price action correlates to a straight line (a perfect trend).
Function: It outputs a confidence score (-1 to 1). Gypsy Bot uses this to ensure that we are not just moving up, but moving up with high statistical correlation, reducing fake-outs.
Module 3: Ehlers Roofing Filter
Logic: A sophisticated spectral filter that combines a High-Pass filter (to remove long-term drift) with a Super Smoother (to remove high-frequency noise).
Function: It attempts to isolate the "Roof" of the price action. It is excellent at catching cyclical turning points before standard moving averages react.
Module 4: Forecast Oscillator
Logic: Uses Linear Regression forecasting to predict where price "should" be relative to where it is.
Function: When the Forecast Oscillator crosses its zero line, it indicates that the regression trend has flipped. We offer both "Aggressive" and "Conservative" calculation modes for this module.
Module 5: Chandelier ATR Stop
Logic: A volatility-based trend follower that hangs a "leash" (ATR multiple) from the highest high (for longs) or lowest low (for shorts).
Function: Used here as an entry filter. If price is above the Chandelier line, the trend is Bullish. It also includes a "Bull/Bear Qualifier" check to ensure structural support.
Module 6: Crypto Market Breadth (CMB)
Logic: This is a macro-filter. It pulls data from multiple major tickers (BTC, ETH, and Perpetual Contracts) across different exchanges.
Function: It calculates a "Market Health" percentage. If Bitcoin is rising but the rest of the market is dumping, this module can veto a trade, ensuring you don't buy into a "fake" rally driven by a single asset.
Module 7: Directional Index Convergence (DIC)
Logic: Analyzes the convergence/divergence between Fast and Slow Directional Movement indices.
Function: Identifies when trend strength is expanding. A buy signal is generated only when the positive directional movement overpowers the negative movement with expanding momentum.
Module 8: Market Thrust Indicator (MTI)
Logic: A volume-weighted breadth indicator. It uses Advance/Decline data and Up/Down Volume data.
Function: This is one of the most powerful modules. It confirms that price movement is supported by actual volume flow. We recommend using the "SSMA" (Super Smoother) MA Type for the cleanest signals on the 4H chart.
Module 9: Simple Ichimoku Cloud
Logic: Traditional Japanese trend analysis using the Tenkan-sen and Kijun-sen.
Function: Checks for a "Kumo Breakout." Price must be fully above the Cloud (for longs) or below it (for shorts). This is a classic "trend confirmation" module.
Module 10: Simple Harmonic Oscillator
Logic: Analyzes the harmonic wave properties of price action to detect cyclical tops and bottoms.
Function: Serves as a counter-trend or early-reversal detector. It tries to identify when a cycle has bottomed out (for buys) or topped out (for sells) before the main trend indicators catch up.
Module 11: HSRS Compression / Super AO
Logic: Two options in one.
HSRS: Hirashima Sugita Resistance Support. Detects volatility compression (squeezes) relative to dynamic support/resistance bands.
Super AO: A combination of the Awesome Oscillator and SuperTrend logic.
Function: Great for catching explosive moves that result from periods of low volatility (consolidation).
Module 12: Fisher Transform (MTF)
Logic: Converts price data into a Gaussian normal distribution.
Function: Identifies extreme price deviations. This module uses Multi-Timeframe (MTF) logic to look at higher-timeframe trends (e.g., looking at the Daily Fisher while trading the 4H chart) to ensure you aren't trading against the major trend.
5. Global Inhibitors (The Veto Power)
Even if 12 out of 12 modules vote "Buy," Gypsy Bot performs a final safety check using Global Inhibitors. If any of these are triggered, the trade is blocked.
Bitcoin Halving Logic:
Hardcoded dates for past and projected future Bitcoin halvings (up to 2040).
Trading is inhibited or restricted during the chaotic weeks immediately surrounding a Halving event to avoid volatility crushes.
Miner Capitulation:
Uses Hash Rate Ribbons (Moving averages of Hash Rate).
If miners are capitulating (Shutting down rigs due to unprofitability), the engine flags a "Bearish" regime and can flip logic to Short-only or flat.
ADX Filter (Flat Market Protocol):
If the Average Directional Index (ADX) is below a specific threshold (e.g., 20), the market is deemed "Flat/Choppy." The bot will refuse to open trend-following trades in a flat market.
CryptoCap Trend:
Checks the total Crypto Market Cap chart. If the broad market is in a downtrend, it can inhibit Long entries on individual altcoins.
6. Risk Management & The Dump Protection Team (DPT)
Gypsy Bot separates "Entry Logic" from "Risk Management Logic."
Dump Protection Team (DPT)
This is a specialized logic branch designed to save the account during Black Swan events.
Nuke Protection: If the DPT detects a volatility signature consistent with a flash crash, it overrides all other logic and forces an immediate exit.
Moon Protection: If a parabolic pump is detected that violates statistical probability (Bollinger deviations), DPT can force a profit take before the inevitable correction.
Advanced Adaptive Trailing Stop (AATS)
Unlike a static trailing stop (e.g., "trail by 5%"), AATS is dynamic.
Penthouse Level: If price is at the top of the HSRS channel (High Volatility), the stop loosens to allow for wicks.
Dungeon Level: If price is compressed at the bottom, the stop tightens to protect capital.
Staged Take Profits
TP1: Scalp a portion (e.g., 10%) to cover fees and secure a win.
TP2: Take the bulk of profit.
TP3: Leave a "Runner" position with a loose trailing stop to catch "Moon" moves.
7. Recommended Setup Guide
When applying Gypsy Bot to a new chart, follow this sequence:
Set Timeframe: 4 Hours (4H).
Reset: Turn OFF Trailing Stop, Stop Loss, and Take Profits. (We want to see raw entry performance first).
Tune DPT: Adjust "Dump/Moon Protection" inputs first. These have the highest impact on net performance.
Tune Module 8 (MTI): This module is a heavy filter. Experiment with the MA Type (SSMA is recommended).
Select Modules: Enable/Disable modules 1-12 based on the asset's personality (Trending vs. Ranging).
Voting Threshold: Adjust ActivateOrders. A lower number = More Trades (Aggressive). A higher number = Fewer, higher conviction trades (Conservative).
Final Polish: Re-enable Stop Losses, Trailing Stops, and Staged Take Profits to smooth the equity curve and define your max risk per trade.
8. Technical Specs
Engine Version: Pine Script V6
Repainting: This strategy uses Closed Candle data for all Risk Management and Entry decisions. This ensures that Backtest results align closely with real-time behavior (no repainting of historical signals).
Alerts: This script generates Strategy alerts. If you require visual-only alerts, see the source code header for instructions on switching to "Study" (Indicator) mode.
Disclaimer:
This script is a complex algorithmic tool for market analysis. Past performance is not indicative of future results. Use this tool to assist your own decision-making, not to replace it.
9. About Signal Lynx
Automation for the Night-Shift Nation 🌙
Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management.
We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to:
Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators
Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend
If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source).
If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
Market Internals Dashboard: Trend, Breadth, Volume PressureOverview
The Market Internals Dashboard Pro is a professional-grade toolkit modeled after what prop firms and institutional desks use to understand real intraday market conditions.
Instead of relying solely on price, this indicator analyzes three critical internal forces:
USI:TICK : Microstructure buying/selling pressure
USI:ADD : Market breadth participation (advancers vs decliners proxy)
USI:VOLD : Volume pressure (buying vs selling volume)
These internals determine whether the market is:
Trending or ranging
Bullish or bearish
Likely to follow through or mean-revert
Favoring continuation trades or fade setups
The script also produces a Market Environment Score (–3 to +3) and a real-time Trade Recommendation Table that updates every bar. This helps answer the single most important question in intraday trading: “What type of trades should I be taking right now given current market conditions?”
1. TICK Proxy: Microstructure Pressure
Measures buying vs. selling aggressiveness across the market This proxy simulates the NYSE TICK index by evaluating whether bars close above or below the prior bar.
Positive TICK → Buyers lifting offers
Negative TICK → Sellers hitting bids
Neutral TICK → No microstructure conviction
Why it matters:
Strong TICK is often the earliest sign of:
Trend initiation
Algorithmic buy/sell programs
Shifts in short‑term sentiment
Weak or choppy TICK often signals:
Range conditions
Failed breakouts
Low‑quality trend attempts
2. ADD Proxy: Market Breadth Strength
Shows how many stocks are participating in a move Because real USI:ADD data isn't available for all users, this script uses a self-contained breadth approximation built from:
Price slope
Volatility expansion
Volume‑weighted directional pressure
Why it matters? Breadth reveals whether the move is:
Broad and healthy → likely to continue
Narrow and weak → vulnerable to reversal
Strong trends require strong breadth. Weak breadth often precedes:
Failed breakouts
Reversal setups
Chop (ewww)
3. VOLD Proxy: Volume Pressure
The most important internal of all. This proxy measures whether trading volume is flowing into up bars or down bars.
Positive VOLD → Net buying pressure
Negative VOLD → Net selling pressure
Why it matters:
VOLD is considered the "truth serum" of the tape:
Strong VOLD drives trend days
Negative VOLD kills long setups
Mixed VOLD creates chop
You should rarely trend trade against VOLD.
4. Market Environment Score (–3 to +3)
The Environment Score combines the three internals into a single view:
|| Score || Interpretation || Market Type ||
| +3 | Strong Bull | Trend Day (Long) |
| +2 | Bull | Pullback Buys / Breakout Continuation |
| +1 | Mild Bull | Conservative Long Scalps |
| 0 | Neutral | CHOP – VWAP Reversions / Fades |
| -1 | Mild Bear | Short Failed Breakouts |
| -2 | Bear | Trend Shorts / Breakdown Continuation |
| -3 | Strong Bear | Trend Day (Short) |
Why it matters:
The market behaves differently depending on internal alignment. This score prevents traders from:
Forcing trend trades on chop days
Chasing breakouts when breadth is weak
Fading strong directional days
It tells you in real time whether conditions favor:
Trend following
Mean reversion
Breakout continuation
Liquidity grabs
Or sitting out
5. Trade Recommendation Engine
Based on the Environment Score, the indicator outputs a real-time playbook recommending which trade types have the highest probability of success right now.
Examples:
Score = 0 (Neutral)
VWAP Reversions
Liquidity Grabs
Failed Breakouts
Quick Scalps
Score = +2/+3 (Strong Bull)
Pullback Buys
Breakout Continuation
Trend Longs
Score = -2/-3 (Strong Bear)
Pullback Shorts
Breakdown Continuation
Trend Shorts Only
This turns the internals into a trade selection engine, not just a data display.
Why Market Internals Matter
Most indicators look only at price, but price is the result, not the cause.
Market internals show:
Where volume is flowing
Whether buying is aggressive or passive
How many stocks are participating
Whether algorithms are supporting or fighting the move
This dashboard helps traders:
Avoid chop
Stay out of low‑quality setups
Time entries with institutional flows
Improve win rate by trading the right setups at the right times
Final Notes
Works on any symbol or timeframe
Fully customizable colors
Two clean visual tables: Internals + Trade Playbook
Ideal for futures, ETFs, and options day traders
If you enjoy this tool, please like, comment, or follow. More enhancements are coming.
Trade smart.
