Tsallis Entropy Market RiskTsallis Entropy Market Risk Indicator
What Is It?
The Tsallis Entropy Market Risk Indicator is a market analysis tool that measures the degree of randomness or disorder in price movements. Unlike traditional technical indicators that focus on price patterns or momentum, this indicator takes a statistical physics approach to market analysis.
Scientific Foundation
The indicator is based on Tsallis entropy, a generalization of traditional Shannon entropy developed by physicist Constantino Tsallis. The Tsallis entropy is particularly effective at analyzing complex systems with long-range correlations and memory effects—precisely the characteristics found in crypto and stock markets.
The indicator also borrows from Log-Periodic Power Law (LPPL).
Core Concepts
1. Entropy Deficit
The primary measurement is the "entropy deficit," which represents how far the market is from a state of maximum randomness:
Low Entropy Deficit (0-0.3): The market exhibits random, uncorrelated price movements typical of efficient markets
Medium Entropy Deficit (0.3-0.5): Some patterns emerging, moderate deviation from randomness
High Entropy Deficit (0.5-0.7): Strong correlation patterns, potentially indicating herding behavior
Extreme Entropy Deficit (0.7-1.0): Highly ordered price movements, often seen before significant market events
2. Multi-Scale Analysis
The indicator calculates entropy across different timeframes:
Short-term Entropy (blue line): Captures recent market behavior (20-day window)
Long-term Entropy (green line): Captures structural market behavior (120-day window)
Main Entropy (purple line): Primary measurement (60-day window)
3. Scale Ratio
This measures the relationship between long-term and short-term entropy. A healthy market typically has a scale ratio above 0.85. When this ratio drops below 0.85, it suggests abnormal relationships between timeframes that often precede market dislocations.
How It Works
Data Collection: The indicator samples price returns over specific lookback periods
Probability Distribution Estimation: It creates a histogram of these returns to estimate their probability distribution
Entropy Calculation: Using the Tsallis q-parameter (typically 1.5), it calculates how far this distribution is from maximum entropy
Normalization: Results are normalized against theoretical maximum entropy to create the entropy deficit measure
Risk Assessment: Multiple factors are combined to generate a composite risk score and classification
Market Interpretation
Low Risk Environments (Risk Score < 25)
Market is functioning efficiently with reasonable randomness
Price discovery is likely effective
Normal trading and investment approaches appropriate
Medium Risk Environments (Risk Score 25-50)
Increasing correlation in price movements
Beginning of trend formation or momentum
Time to monitor positions more closely
High Risk Environments (Risk Score 50-75)
Strong herding behavior present
Market potentially becoming one-sided
Consider reducing position sizes or implementing hedges
Extreme Risk Environments (Risk Score > 75)
Highly ordered market behavior
Significant imbalance between buyers and sellers
Heightened probability of sharp reversals or corrections
Practical Application Examples
Market Tops: Often characterized by gradually increasing entropy deficit as momentum builds, followed by extreme readings near the actual top
Market Bottoms: Can show high entropy deficit during capitulation, followed by normalization
Range-Bound Markets: Typically display low and stable entropy deficit measurements
Trending Markets: Often show moderate entropy deficit that remains relatively consistent
Advantages Over Traditional Indicators
Forward-Looking: Identifies changing market structure before price action confirms it
Statistical Foundation: Based on robust mathematical principles rather than empirical patterns
Adaptability: Functions across different market regimes and asset classes
Noise Filtering: Focuses on meaningful structural changes rather than price fluctuations
Limitations
Not a Timing Tool: Signals market risk conditions, not precise entry/exit points
Parameter Sensitivity: Results can vary based on the chosen parameters
Historical Context: Requires some historical perspective to interpret effectively
Complementary Tool: Works best alongside other analysis methods
Enjoy :)
Analisi trend
ATR Stop-Loss with Fibonacci Take-Profit [jpkxyz]ATR Stop-Loss with Fibonacci Take-Profit Indicator
This comprehensive indicator combines Average True Range (ATR) volatility analysis with Fibonacci extensions to create dynamic stop-loss and take-profit levels. It's designed to help traders set precise risk management levels and profit targets based on market volatility and mathematical ratios.
Two Operating Modes
Default Mode (Rolling Levels)
In default mode, the indicator continuously plots evolving stop-loss and take-profit levels based on real-time price action. These levels update dynamically as new bars form, creating rolling horizontal lines across the chart. I use this mode primarily to plot the rolling ATR-Level which I use to trail my Stop-Loss into profit.
Characteristics:
Levels recalculate with each new bar
All selected Fibonacci levels display simultaneously
Uses plot() functions with trackprice=true for price tracking
Custom Anchor Mode (Fixed Levels)
This is the primary mode for precision trading. You select a specific timestamp (typically your entry bar), and the indicator locks all calculations to that exact moment, creating fixed horizontal lines that represent your actual trade levels.
Characteristics:
Entry line (blue) marks your anchor point
Stop-loss calculated using ATR from the anchor bar
Fibonacci levels projected from entry-to-stop distance
Lines terminate when price breaks through them
Includes comprehensive alert system
Core Calculation Logic
ATR Stop-Loss Calculation:
Stop Loss = Entry Price ± (ATR × Multiplier)
Long positions: SL = Entry - (ATR × Multiplier)
Short positions: SL = Entry + (ATR × Multiplier)
ATR uses your chosen smoothing method (RMA, SMA, EMA, or WMA)
Default multiplier is 1.5, adjustable to your risk tolerance
Fibonacci Take-Profit Projection:
The distance from entry to stop-loss becomes the base unit (1.0) for Fibonacci extensions:
TP Level = Entry + (Entry-to-SL Distance × Fibonacci Ratio)
Available Fibonacci Levels:
Conservative: 0.618, 1.0, 1.618
Extended: 2.618, 3.618, 4.618
Complete range: 0.0 to 4.764 (23 levels total)
Multi-Timeframe Functionality
One of the indicator's most powerful features is timeframe flexibility. You can analyze on one timeframe while using stop-loss and take-profit calculations from another.
Best Practices:
Identify your entry point on execution timeframe
Enable "Custom Anchor" mode
Set anchor timestamp to your entry bar
Select appropriate analysis timeframe
Choose relevant Fibonacci levels
Enable alerts for automated notifications
Example Scenario:
Analyse trend on 4-hour chart
Execute entry on 5-minute chart for precision
Set custom anchor to your 5-minute entry bar
Configure timeframe setting to "4h" for swing-level targets
Select appropriate Fibonacci Extension levels
Result: Precise entry with larger timeframe risk management
Visual Intelligence System
Line Behaviour in Custom Anchor Mode:
Active levels: Lines extend to the right edge
Hit levels: Lines terminate at the breaking bar
Entry line: Always visible in blue
Stop-loss: Red line, terminates when hit
Take-profits: Green lines (1.618 level in gold for emphasis)
Customisation Options:
Line width (1-4 pixels)
Show/hide individual Fibonacci levels
ATR length and smoothing method
ATR multiplier for stop-loss distance
Price Change Rate with Pivot Labels (%)Bull/Bear labels to show the exact price change percentage at the pivot.
1. Calculates Price Change %
Measures the percentage change in closing price over a user-defined number of bars.
2. Identifies Pivot Points
Finds local highs (pivot highs) and lows (pivot lows) using configurable left/right bar settings.
3. Labels Bullish/Bearish Trends
Bull label: Appears at pivot lows if price is rising and forming higher lows.
Bear label: Appears at pivot highs if price is falling and forming lower highs.
4. Displays % on Labels
Each label includes the current price change percentage, e.g.,
"Bull +2.34%"
"Bear -1.78%"
5. Optional Visuals
Pivot shapes (triangles) are plotted for clarity.
Indicador Strong Buy + Volume
Association of several bullish indicators with a trigger on a sudden increase in volume
RSI + Divergence + Stochastic RSIsimple indicator combining RSI and STOCH
RSI indicator (with divergence detection, smoothing, and optional Bollinger Bands)
Stochastic RSI indicator (with %K and %D lines, bands, and background fill)
Gabriel's MPT Moving Average RibbonGabriel's MPT Moving Average Ribbon is a cutting-edge, risk-adjusted technical analysis tool that fuses Modern Portfolio Theory (MPT) with adaptive moving average logic to dynamically guide market participants through bullish and bearish conditions.
This ribbon is not a simple MA crossover — it leverages Sharpe Ratio, Sortino Ratio, Omega Ratio, and Value at Risk (VaR) to scale and smooth each moving average using real-time probabilistic efficiency metrics. Combined, these elements create a volatility-weighted, risk-optimized visualization of market structure.
🔍 Core Features:
Multi-Ratio Adaptive Scaling: Moving averages are dynamically weighted by Omega Ratio, Sortino Stdev, Sharpe Winrate, and VaR conditions for smarter price tracking.
Volatility Engine: Supports multiple return models:
Close-to-Close
Parkinson
Garman-Klass
Rogers–Satchell
Yang–Zhang (default for highest accuracy)
Smart Ribbon Construction:
Blends 3 different MA types per ribbon (e.g., SMA, EMA, WMA) for each of the 4 ribbons
Supports WMA-style dynamic weighting using MPT-derived ratios
Sharpe Winrate Estimation: Uses CDF logic to project the probability of success given current Sharpe ratio.
Dynamic Risk Phase Detection (VaR):
Identifies Risk On, Risk Off, or Neutral states using a triple-model composite VaR framework.
🛎️ Alerts Included:
📈 Bullish Crossover Alert: MA #1 crossing above MA #2 with all ribbons aligned upward.
📉 Bearish Crossunder Alert: MA #1 crossing below MA #2 with all ribbons aligned downward.
📊 Omega Ratio Alert: Triggered when Omega exceeds 1 (profitable risk-adjusted reward).
⚠️ Omega Caution Alert: Triggered when Omega drops below 1.
🟢 Risk On Alert: Market enters a favorable, low-risk zone. Deep Value Zone for Long-Term Investing.
🔴 Risk Off Alert: Market enters a cautionary, high-risk phase.
🎯 Use Cases:
Trend Identification: MA ribbon alignment indicates momentum phases.
Risk-Tuned Entries/Exits: Combine ribbon crossovers with VaR/Ratio signals for confirmation.
Institutional Strategy Overlay: Ideal for portfolio managers integrating risk-adjusted technical overlays.
🧠 Pro Tips:
Use "Complete" mode for the most robust risk signal, as it blends Historical, EWMA, and Variance-Covariance ratios.
Customize each MA’s type and length to match your trading horizon (e.g., intraday, swing).
Toggle Ratios Weighted MA for adaptive weighting when market risk fluctuates.
It's set to the settings I use to trade, from MA settings to MPT table. It goes in order: Sharpe Est. Winrate, Deviation of Sortino, Omega Ratio (1 Year), and the Ideal position size according to VaR.
Mean Amplitude (300 candles)Displays the average candle amplitude (volatility) as % over a selected period. Useful for gauging market activity compression or expansion.
SupertrendWill generate Good Signals but be remembered that you can only use when Breakout market is there
All SMAs Bullish/Bearish Screener (Enhanced)All SMAs Bullish/Bearish Screener Enhanced: Uncover High-Conviction Trend Alignments with Confidence
Description:
Are you ready to elevate your trading from mere guesswork to precise, data-driven decisions? The "All SMAs Bullish/Bearish Screener Enhanced" is not just another indicator; it's a sophisticated, yet user-friendly, trend-following powerhouse designed to cut through market noise and pinpoint high-probability trading opportunities. Built on the foundational strength of comprehensive Moving Average confluence and fortified with critical confirmation signals from Momentum, Volume, and Relative Strength, this script empowers you to identify truly robust trends and manage your trades with unparalleled clarity.
The Power of Multi-Factor Confluence: Beyond Simple Averages
In the unpredictable world of financial markets, true strength or weakness is rarely an isolated event. It's the harmonious alignment of multiple technical factors that signals a high-conviction move. While our original "All SMAs Bullish/Bearish Screener" intelligently identified stocks where price was consistently above or below a full spectrum of Simple Moving Averages (5, 10, 20, 50, 100, 200), this Enhanced version takes it a crucial step further.
We've integrated a powerful three-pronged confirmation system to filter out weaker signals and highlight only the most compelling setups:
Momentum (Rate of Change - ROC): A strong trend isn't just about price direction; it's about the speed and intensity of that movement. Positive momentum confirms that buyers are still aggressively pushing price higher (for bullish signals), while negative momentum validates selling pressure (for bearish signals).
Volume: No trend is truly trustworthy without the backing of smart money. Above-average volume accompanying an "All SMAs" alignment signifies strong institutional participation and conviction behind the move. It separates genuine trend starts from speculative whims.
Relative Strength Index (RSI): This versatile oscillator ensures the trend isn't just "there," but that it's developing healthily. We use RSI to confirm a bullish bias (above 50) or a bearish bias (below 50), adding another layer of confidence to the direction.
When the price aligns above ALL six critical SMAs, and is simultaneously confirmed by robust positive momentum, healthy volume, and a bullish RSI bias, you have an exceptionally strong "STRONGLY BULLISH" signal. This confluence often precedes sustained upward moves, signaling prime accumulation phases. Conversely, a "STRONGLY BEARISH" signal, where price is below ALL SMAs with negative momentum, confirming volume, and a bearish RSI bias, indicates powerful distribution and potential for significant downside.
How to Use This Enhanced Screener:
Add to Chart: Go to TradingView's Pine Editor, paste the script, and click "Add to Chart."
Customize Parameters: Fine-tune the lengths of your SMAs, RSI, Momentum, and Volume averages via the indicator's settings. Experiment to find what best suits your trading style and the assets you trade.
Choose Your Timeframe Wisely:
Daily (1D) and 4-Hour (240 min) are highly recommended. These timeframes cut through intraday noise and provide more reliable, actionable signals for swing and position trading.
Shorter timeframes (e.g., 15min, 60min) can be used by advanced day traders for very short-term entries, but be aware of increased volatility and noise.
Visual Confirmation:
Green/Red Triangles: Appear on your chart, indicating confirmed bullish or bearish signals.
Background Color: The chart background will subtly turn lime green for "STRONGLY BULLISH" and red for "STRONGLY BEARISH" conditions.
On-Chart Status Table: A clear table displays the current signal status ("STRONGLY BULLISH/BEARISH," or "SMAs Mixed") for immediate feedback.
Set Up Alerts (Your Primary Screener Tool): This is the game-changer! Create custom alerts on TradingView based on the "Confirmed Bullish Trade" and "Confirmed Bearish Trade" conditions. Receive instant notifications (email, pop-up, mobile) for any stock in your watchlist that meets these stringent criteria. This allows you to scan the entire market effortlessly and act decisively.
Strategic Stop-Loss Placement: The Trader's Lifeline
Even the most robust signals can fail. Protecting your capital is paramount. For this trend-following strategy, your stop-loss should be placed where the underlying trend structure is broken.
For a "STRONGLY BULLISH" Trade: Place your stop-loss just below the most recent significant swing low (higher low). This is the last point where buyers stepped in to support the price. If price breaks below this, your bullish thesis is invalidated.
For a "STRONGLY BEARISH" Trade: Place your stop-loss just above the most recent significant swing high (lower high). If price breaks above this, your bearish thesis is invalidated.
Alternatively, consider placing your stop-loss just below the 20-period SMA (for bullish trades) or above the 20-period SMA (for bearish trades). A significant close beyond this intermediate-term average often indicates a critical shift in momentum. Always ensure your chosen stop-loss adheres to your pre-defined risk per trade (e.g., 1-2% of capital).
Disciplined Profit Booking: Maximizing Gains
Just as important as knowing when you're wrong is knowing when to take profits.
Trailing Stop-Loss: As your trade moves into profit, trail your stop-loss upwards (for longs) or downwards (for shorts). You can trail it using:
Previous Swing Lows/Highs: Move your stop to just below each new higher low (for longs) or just above each new lower high (for shorts).
A Moving Average (e.g., 10-period or 20-period SMA): If price closes below your chosen trailing SMA, exit. This allows you to ride the trend while protecting accumulated profits.
Target Levels: Identify potential resistance levels (for longs) or support levels (for shorts) using pivot points, previous highs/lows, or Fibonacci extensions. Consider taking partial profits at these levels and letting the rest run with a trailing stop.
Loss of Confluence: If the "STRONGLY BULLISH/BEARISH" condition ceases to be met (e.g., RSI crosses below 50, or volume drops significantly), this can be a signal to reduce or exit your position, even if your stop-loss hasn't been hit.
The "All SMAs Bullish/Bearish Screener Enhanced" is your comprehensive partner in navigating the markets. By combining robust trend identification with critical confirmation signals and disciplined risk management, you're equipped to make smarter, more confident trading decisions. Add it to your favorites and unlock a new level of precision in your trading journey!
#PineScript #TradingView #SMA #MovingAverage #TrendFollowing #StockScreener #TechnicalAnalysis #Bullish #Bearish #QQQ #Momentum #Volume #RSI #SPY #TradingStrategy #Enhanced #Signals #Analysis #DayTrading #SwingTrading
Omega Market Mood Meter [OmegaTools]The Omega Market Mood Meter is a precision-built sentiment oscillator that captures the market’s emotional intensity through a multi-layered RSI system. Designed for traders who seek to align with the market's true behavioral state, it blends momentum readings with a brand-new, rarely-seen innovation: the Sentiment-Weighted Moving Average (WMA-Ω)—a trend filter that dynamically adjusts to the market’s psychological tone.
🧠 Market Mood Oscillator
At its core, the Ω 3M oscillator aggregates three RSI-based components:
RSI(9) on close — captures short-term tension;
RSI(21) on HLC3 — balances medium-term positioning;
RSI(50) on HL2 — reflects long-term directional weight.
Each input is scaled and weighted to contribute to a final oscillator centered around zero, with ±50 and ±100 acting as key sentiment boundaries. When values exceed ±100, the market is likely reaching emotional extremes—zones that often precede reversals or require caution.
Visual features include:
Dynamic Background Highlighting: automatically emphasizes extreme sentiment zones.
Reference Lines: plotted at ±100, ±50, and 0 for fast sentiment interpretation.
🔥 WMA-Ω: Sentiment-Weighted Moving Average
The standout innovation of this tool is the Weighted Market Mood Moving Average, or WMA-Ω—a proprietary calculation that averages price using the absolute value of sentiment as its weighting force. This approach gives greater importance to price during periods of strong emotional conviction (either bullish or bearish), resulting in a context-aware trend filter that reacts only when sentiment truly matters.
This technique:
Filters noise during low-volatility or indecisive conditions;
Enhances reliability by reacting to meaningful sentiment surges;
Offers a more psychologically-adjusted trend baseline compared to traditional MAs.
Visually:
When price is above WMA-Ω, a semi-transparent bullish fill highlights underlying strength;
When below, a bearish fill reveals dominant downward sentiment.
This feature is unique among public TradingView tools and provides an edge in identifying trend quality with psychological context.
✅ How to Use
Extreme Sentiment Zones (±100): Use as contrarian warning zones or signal dampeners.
Crosses of WMA-Ω: Treat these as psychological trend confirmations; price above indicates structurally bullish sentiment and vice versa.
Range-bound Bias: Between ±50, sentiment may be indecisive; watch for breakout or alignment with WMA-Ω.
Advanced Confluence: Combine with other Omega tools (e.g., Ω Bias Forecaster, Ω IV Walls) for powerful regime-based strategies.
Omega Market Mood Meter is ideal for discretionary and systematic traders who want a clean, multi-timeframe sentiment readout and a cutting-edge weighted trend engine grounded in market psychology.
SP Indicator Clone## 💡 **SCRIPT का STRUCTURE और FUNCTION**
### 📌 **Indicator Name**
* नाम: `SP Indicator Clone`
* Overlay पर plot होती है — मतलब ये indicator chart पर ही lines, dots, shapes बनाता है।
---
### 📌 **Inputs**
User से कुछ values input लेता है:
1️⃣ **Short EMA Length** → default: 5
👉 ये एक छोटा EMA बनाता है ताकि short term trend दिखे।
2️⃣ **Long EMA Length** → default: 50
👉 ये एक लंबा EMA बनाता है — इसे black trendline जैसा use करते हैं।
3️⃣ **ATR Length** → default: 14
👉 ये ATR निकालता है ताकि trailing stop calculate कर सके।
---
### 📌 **Indicators Plotted**
1️⃣ **Short EMA (blue)**
* Chart पर एक हल्की तेजी/मंदी की direction दिखाता है।
2️⃣ **Long EMA (black)**
* ये SP Indicator की तरह main trend line की तरह काम करता है।
* इस black line के ऊपर/नीचे price जाने पर signals generate होते हैं।
---
### 📌 **Signal Conditions**
#### Long Signal
* जब price का **close** black line (Long EMA) के ऊपर cross करता है।
👉 मतलब market नीचे से ऊपर की तरफ जा रहा है।
#### Short Signal
* जब price का **close** black line (Long EMA) के नीचे cross करता है।
👉 मतलब market ऊपर से नीचे गिर रहा है।
---
### 📌 **Signal Shapes**
* Long signal पर: Green triangle (नीचे candle के नीचे दिखेगा)
* Short signal पर: Red triangle (candle के ऊपर दिखेगा)
---
### 📌 **Trailing Stop**
* Trailing Stop को ATR से निकाला जाता है:
* Long trade में: close price - ATR
* Short trade में: close price + ATR
👉 ये stoploss points green/red dots की तरह दिखते हैं।
---
### 📌 **Visualization**
आप chart पर देख पाते हैं:
* Short EMA (blue line)
* Long EMA (black line)
* Long/Short signal markers (triangles)
* Trailing stop points (dots)
---
## ⚙️ **इस Script से आप क्या देख सकते हैं?**
✅ कब trend बदला (black line के cross पर signal मिलेगा)।
✅ कहाँ approximate trailing stop लगाना है (ATR dots से)।
✅ कब entry लेनी थी (triangles से)।
---
## 🚫 **इस Script की Limitations**
⚠️ यह सिर्फ signals और trailing stop show करता है — **ये Pine Strategy नहीं है** यानी ये Trades को backtest नहीं करता।
⚠️ आप इसका use visual reference के लिए कर सकते हैं, लेकिन P\&L, win/loss stats Strategy Tester में नहीं आएंगे।
---
💡 **अगर आप चाहते हो कि मैं इसी को एक Pine Strategy में बदलूं ताकि Strategy Tester में actual performance दिखे (number of trades, profit, loss आदि)?**
बस बताओ — मैं code तैयार कर दूँ! 🚀
Initial Balance Wave Map📊 Initial Balance Wave Map – Powered by VWAP Wave
The Initial Balance Wave Map is your visual roadmap for navigating the first hour of trading like a pro. Built to align with the VWAP Wave System, this indicator automatically plots the Initial Balance (IB) high and low, calculates real-time IB extensions, and layers in key midpoints and volume-based structure to map out high-probability zones for both reversals and breakouts. This upgraded indicator builds upon the open-source foundation by @noop-noop, with enhancements and user-facing labels tailored for Auction Market Theory, scalping, and structure-based trade setups.
🔍 Key Features:
✅ Automatically plots IB High/Low based on session times (customizable)
🔁 Displays +1x / +2x IB extensions and midpoints for precision targeting
📐 Integrated with VWAP Wave strategy: use with deviation bands for full context
🎯 Works across futures, forex, and crypto — universal structure map
🎨 Optional visual highlights for calculation window and labeling
💡 How to Use:
Fade setups: Look for price rejection at ±1x or ±2x IB extensions inside a balanced market.
Breakout setups: Combine IB breaks with VWAP Wave price discovery for high-momentum plays.
Return to value: When price rejects extension levels and rotates, target the IB midpoint or VWAP.
Whether you’re scalping futures like NQ & ES, swinging gold, or analyzing forex pairs, the Initial Balance Wave Map gives you the structural clarity to react instead of guess.
For more information, visit vwapwave.com and find the VWAP Wave System official published book on Amazon.com .
🙌 Credits:
This script builds upon the excellent open-source work by @noop-noop. Original script available here .
[eLm] 0-1-2# 📈 Market Structure Indicator – Counter System
This indicator dynamically analyzes price action to detect key market structure shifts and trend strength using four essential formations:
## 🔍 Detected Structures
- **Higher High (HH):** A candle forming a new high above recent peaks
- **Lower Low (LL):** A candle forming a new low below recent bottoms
- **Higher Low (HL):** A higher dip, indicating potential trend continuation
- **Lower High (LH):** A lower peak, signaling potential weakness
## 🧠 Structure Protection Logic
After a HH or LL is formed, if price does not breach that level within a user-defined number of candles, the level is considered **"protected."**
This provides insight into trend strength and market reaction.
## 🔢 HL / LH Counter System
- Each HL or LH increases a counter.
- A new HH or LL **resets** the corresponding counter to zero.
> This helps visualize how many consecutive HL or LH structures have occurred — useful for measuring trend momentum.
## 🎯 Use Cases
- Trend following and confirmation
- Early trend reversal detection
- Building structure-based trading strategies
- Understanding price behavior and market intent
---
> **Note:** This indicator does not provide financial advice. It is designed to support technical analysis with clear, structure-based visual signals.
Vector CandlesSimple buy and sell alert on vectors. Works well on 4h. Standard settings are 70% candle must be body, with min 1.5 vol on the candle on 20 ma loopback.
Stochastics Momentum Index with Buy DotsDetermining overbought points with buy signals at stochastic and ema intersections. We should take into consideration signals coming below -40.
Stochastics Momentum Index with Buy Dotsstokastik ve ema kesişimlerinde buy sinyali ile aşırı alım noktalarını belirleme.
FinhedgesFinhedges is a professional-grade trend analysis tool designed for precision trading. Built for traders who demand clarity, accuracy, and reliability, this indicator empowers users with real-time market insights while maintaining a clean and user-friendly visual interface.
✅ Key Features:
📈 Advanced Trend Detection: Accurately identifies prevailing market trends to guide directional bias.
🟢🔴 Intelligent Signal System: Displays high-quality Buy and Sell signals optimized for both swing and intraday trading.
🧠 Smart Filtering Logic: Reduces noise and false signals for higher conviction entries.
📊 Customizable Trend Line: Visualizes trend direction clearly across all timeframes.
⏰ Built-in Alerts: Real-time notifications so you never miss a key opportunity.
📋 Optional Market Status Table: Provides a quick overview of trend and price data directly on the chart.
TRAMA Cross Pivot Points📌 Description: TRAMA Cross Pivot Points
This indicator combines the powerful Trend Regularity Adaptive Moving Average (TRAMA) with dynamic pivot point.
🔍 What It Does:
Calculates a long-term TRAMA (default length 278) to filter trend direction and smooth volatility. I mostly use the lengths 20, 50, 100, 200, 278, and 314 to mark areas of retest.
Detects bullish and bearish price crossovers above and below the TRAMA.
Plots real-time pivot levels when a crossover occurs.
Draws a dashed horizontal pivot line only at the most recent crossover, keeping your chart clean and focused.
Includes alert conditions so you never miss a strategic moment.
⚙️ How It Works:
Bullish TRAMA Cross: When price crosses above the TRAMA, the script:
Calculates a potential pivot low using DM-style Logic.
Plots a green dashed line at that pivot level.
Optionally triggers an alert.
Bearish TRAMA Cross: When price crosses below the TRAMA:
A pivot high is calculated and plotted as a red dashed line.
Optional alert lets you know of a possible top.
📈 Pivot Logic:
Uses real-time candle data (OHLC) to adjust pivot points dynamically.
These pivots can act as potential support/resistance levels or entry zones.
🔔 Alerts:
Triggered when price crosses the TRAMA up or down.
Ideal for traders looking to enter on structure-based momentum.
EMA Trend Dashboard
Trend Indicator using 3 custom EMA lines. Displays a table with 5 rows(position configurable)
-First line shows relative position of EMA lines to each other and outputs Bull, Weak Bull, Flat, Weak Bear, or Bear. EMA line1 should be less than EMA line2 and EMA line 2 should be less than EMA line3. Default is 9,21,50.
-Second through fourth line shows the slant of each EMA line. Up, Down, or Flat. Threshold for what is considered a slant is configurable. Also added a "steep" threshold configuration for steep slants.
-Fifth line shows exhaustion and is a simple, configurable calculation of the distance between EMA line1 and EMA line2.
--Lines one and five change depending on its value but ALL other colors are able to be changed.
--Default is somewhat set to work well with Micro E-mini Futures but this indicator can be changed to work on anything. I created it to help get a quick overview of short-term trend on futures. I used ChatGPT to help but I am still not sure if it actually took longer because of it.
Info TablesThis indicator provides two clear tables showing key market metrics, helping you make sense of price action. Each metric is chosen to give you practical insights, and you can customize the display to fit your needs.
## Key Features and Why Metrics Matter
### Main Table Metrics
- **ML-Predicted Price**:
- **What**: A price forecast based on a machine learning model using past price, volume, and RSI data.
- **Why**: Shows where the market might head, helping you gauge if the current price is too high or low compared to the prediction. Useful for spotting potential reversals or continuations.
- **Deviation %**:
- **What**: The percentage difference between the current price and the predicted price.
- **Why**: Tells you how far the market is straying from the ML forecast. A large deviation might suggest overbought/oversold conditions or a trend shift.
- **VWAP Deviation %**:
- **What**: The percentage difference between the current price and the Volume Weighted Average Price (VWAP).
- **Why**: VWAP is a benchmark for fair price; deviation shows if the market is stretched above or below this level, aiding entries or exits.
- **FRED UNRATE % Change**:
- **What**: The percentage change in the U.S. unemployment rate from FRED data.
- **Why**: Offers macro context. Rising unemployment can signal economic weakness, impacting market sentiment, while falling rates may boost confidence.
- **Open Interest**:
- **What**: The total number of open futures contracts for MESM2.
- **Why**: High open interest indicates strong market participation, often tied to liquidity and conviction. Low levels might suggest indecision or lack of commitment.
- **COT Commercial Long/Short**:
- **What**: Commitment of Traders (COT) data showing commercial traders’ long and short positions.
- **Why**: Reveals how big players (hedgers) are positioned. More longs than shorts can hint at bullish sentiment, while more shorts suggest bearish views.
### New Metrics Table
- **QQE Bias**:
- **What**: A momentum indicator based on a smoothed RSI with trailing stops.
- **Why**: Highlights bullish (green) or bearish (red) momentum, helping you confirm short-term trade directions or avoid choppy markets (gray).
- **Volume Momentum**:
- **What**: A score (1–20) comparing current volume to past volume over a lookback period.
- **Why**: High scores indicate strong buying/selling pressure, signaling potential breakouts or reversals. Low scores suggest weak participation.
- **ATR Volatility**:
- **What**: A score (1–20) based on the Average True Range, measuring price volatility.
- **Why**: High volatility warns of larger price swings, useful for setting stop-losses or avoiding trades in choppy conditions. Low volatility may indicate consolidation.
- **ADX Trend**:
- **What**: The Average Directional Index, measuring trend strength.
- **Why**: High ADX values confirm strong trends, guiding you to trade with the trend. Low values suggest range-bound markets, better for mean-reversion strategies.
- **RSI**:
- **What**: Relative Strength Index, showing overbought (>70) or oversold (<30) conditions.
- **Why**: Helps identify potential reversal points or confirm momentum. Useful for timing entries in overextended markets.
- **Frahm Volatility**:
- **What**: A score (1–20) based on true range over a time window (e.g., 24 hours).
- **Why**: Measures short-term volatility, helping you adjust position sizes or avoid trading during erratic price moves.
- **Frahm Avg Candle (Ticks)**:
- **What**: The average candle size in ticks over the same time window.
- **Why**: Indicates typical price movement, useful for setting realistic profit targets or stop-losses based on recent market behavior.
### Additional Features
- **Plotted Predicted Price**:
- **What**: An optional line showing the ML-predicted price on the chart.
- **Why**: Lets you visually compare the predicted price to actual price action, making it easier to spot divergence or alignment.
- **Custom Gradient Colors**:
- **What**: User-defined colors for high/low values in both tables.
- **Why**: Makes it quick to see which metrics are at extremes (e.g., high deviation or strong ADX), improving decision-making under pressure.
- **Alerts**:
- **What**: Notifications for high/low Frahm volatility and bullish/bearish QQE Bias.
- **Why**: Keeps you informed of critical changes (e.g., volatility spikes or momentum shifts) without needing to watch the chart constantly.
## Customization Options
- **ML Matrix Inputs**:
- Adjust the **ML Lookback Period** (e.g., 200–300 for volatile markets, 1000 for trends) to control how much history the ML model uses.
- Set the **ML RSI Period** (e.g., 7–10 for fast markets, 20 for calm) to tweak the RSI’s sensitivity in the prediction.
- **Plot Settings**:
- Toggle the predicted price line and choose its color (default blue) for clear visibility.
- **Table Settings**:
- Position tables (top/bottom, left/center/right) and show/hide them to focus on what matters.
- **Gradient Color Settings**:
- Pick colors for high/low values in each table to match your chart or preferences.
- **Timeframe & Thresholds**:
- Set specific timeframes (e.g., 5-minute for smoother data) and thresholds (e.g., tighter deviation ranges) for each metric to suit your trading style.
## Ideal Use Case
This indicator is perfect for MESM2 traders navigating fast-moving markets. The Main Table gives you a big-picture view (predicted price, macro data, and positioning), while the New Metrics Table zooms in on momentum and volatility, ideal for scalping or trend trades. Use it to confirm entries, set stops, or avoid choppy periods.
## Why It’s Valuable
The **ML Matrix - Tables Only** puts essential data at your fingertips. Each metric is selected to answer a specific question—Is the price overextended? Is momentum building? Are big players bullish? Are conditions too volatile?—helping you trade with clarity and confidence, whether you’re catching quick moves or riding longer trends.
ANDROMEDA - TrendSyncANDROMEDA - TrendSync
Pedro Canto - Portfolio Manager | CGA/CGE
OVERVIEW
Trend Sync is a multi-layered trend-following indicator designed to help traders identify high-probability trend continuation setups while avoiding low-quality entries caused by overbought or oversold market conditions.
This indicator combines the power of Moving Averages (MA), MACD , and a visual RSI-based filter to validate both trend direction and timing for entries. It's goal is simple: filter out noise and highlight only the most technically relevant buy and sell signals based on objective momentum and trend criteria.
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WALKTHROUGH
This indicator is built for traders seeking to operate in the direction of established trends. It's core principle is to identify and validate current trend conditions, and then signal entry opportunities during pullbacks to key moving averages.
Trend identification is achieved through the alignment of two moving averages. When these MAs are crossed and angled in the same direction, they confirm that a trend is in progress. To double-confirm trend direction, the MACD histogram is used—only. When both the MAs and MACD are aligned in the same direction, then the trend is considered valid.
Once all trend criteria are met, a dynamic coloring system is activated to visually reinforce the trend across the candles and moving averages.
To avoid poor entries during market exhaustion, an RSI-based filter is used. This short-term RSI highlights overbought or oversold zones, helping traders filter trades in extreme price conditions.
Only when the trend is validated and price pulls back to one of the MAs will a buy/sell signal be triggered, aligning momentum, price action and timing into a single actionable setup.
This combination ensures that each component plays a specific role:
i) Moving Averages define the trend
ii) MACD validates it
iii) RSI filters noise
iv) Intrabar price action triggers entries
This synchronism helps improve decision-making and entry timing, especially for swing and intraday traders.
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USE CASES
- Identifying trend continuation setups
- Filtering false signals during consolidation phases
- Avoiding trades in overbought or oversold zones
- Enhancing entry timing for both swing and intraday strategies
- Providing visual confirmation of trend strength and momentum alignment
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KEY FEATURES
1. Dual Moving Average Setup
The indicator allows full customization of two moving averages (MA1 and MA2), supporting both EMA and SMA types. The slope of the longer MA (MA2) acts as an essential trend filter, ensuring signals are only generated when the market shows clear directional bias.
2. MACD Histogram Trend Confirmation
A classic MACD Histogram calculation is used to validate the momentum of the prevailing trend.
- Bullish Trend: Histogram > 0
- Bearish Trend: Histogram < 0
This step filters out counter-trend signals and ensures trades are aligned with momentum.
3. Intrabar Price Trigger
Unlike standard crossover systems, this indicator waits for intrabar price action to trigger entries:
- Buy Signal: Price crosses below one of the MAs during an uptrend (dip-buy logic)
- Sell Signal: Price crosses above one of the MAs during a downtrend (rally-sell logic)
This intrabar trigger improves entry timing and helps capture retracement-based opportunities.
4. RSI Visual Filter
A short-term RSI is plotted and color-coded to visually highlight overbought and oversold conditions, acting as a discretionary filter for users to avoid low-probability trades during exhaustion points.
5. Dynamic Coloring System
Bar Colors:
- Blue: Bullish trend
- Red: Bearish trend
- Orange: RSI Overbought/Oversold zones
MA Colors:
- Blue for bullish conditions
- Red for bearish conditions
- Gray for neutral/no-trend phases
6. Signal Markers and Alerts
Clear visual buy and sell markers are plotted directly on the chart.
Additionally, the indicator includes real-time alerts for both Buy and Sell signals, helping traders stay informed even when away from the screen.
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INPUTS AND CUSTOMIZATION OPTIONS
- Moving Average Types: EMA or SMA for both MA1 and MA2.
- MACD Settings: Customizable fast, slow, and signal periods.
- RSI Settings: Source, length, and overbought/oversold levels fully adjustable.
- Color Customization: Adjust RSI zone colors to suit your chart theme.
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DISCLAIMER
This indicator is a technical analysis tool designed for educational and informational purposes only. It should not be used as a standalone trading system. Always combine it with sound risk management, price action analysis, and, where applicable, fundamental context.
Past performance does not guarantee future results.