Custom Daily POC with Date LabelsThis indicator provides a clear view of today's control levels in relation to the point of control from previous days, revealing where the big whales are navigating and manipulating the market.
It's a simple yet genius tool...
Forecasting
Apex Wallet - Lorentzian Classification: Adaptive Signal SuiteOverview The Apex Wallet Lorentzian Classification is a high-performance signal engine that utilizes an adaptive multi-feature approach to identify high-probability entry points. It synthesizes five distinct technical features—RSI, CCI, ADX, MFI, and ROC—to calculate a weighted trend bias.
Dynamic Adaptation The core strength of this indicator is its ability to automatically recalibrate its internal periods based on your selected Trading Mode.
Scalping: Uses ultra-fast periods (e.g., RSI 7, ADX 10) for quick reaction on 1m to 5m charts.
Day-Trading: Balanced settings (e.g., RSI 14, ADX 14) optimized for 15m to 1h timeframes.
Swing-Trading: Smooth, long-term filters (e.g., RSI 21, ADX 20) to capture major market shifts.
Logic & Signal Flow
Feature Extraction: The script calculates five momentum and volatility features using the current close price.
Signal Summation: Each feature contributes to a global signal score based on established technical thresholds.
EMA Smoothing: The raw signal is processed through an EMA filter to eliminate market noise and false breakouts.
Execution: Clear BUY and SELL labels are printed directly on the chart when the smoothed score crosses specific conviction levels.
Key Features:
Zero-Configuration: No need to manually adjust lengths; simply pick your trading style.
Clean Visuals: High-fidelity labels (BUY/SELL) with integrated alert conditions for automation.
Prop-Firm Ready: Ideal for traders needing fast confirmation for high-conviction trades.
TruTrend Market Bias FREETruTrend — Market Bias & Signal Indicator (Free)
TruTrend (Free) is a real-time market bias and signal indicator designed to help traders see trend direction and key buy/sell moments with clarity.
This version focuses on core trend structure and momentum shifts, giving you a clean visual read of the market without clutter. Signals update live and are intended to help traders stay on the right side of the move.
TruTrend Free is built to be simple, fast, and easy to use — ideal for traders who want structure without complexity.
What the Free Version Provides
• Market bias (bullish vs bearish)
• Basic buy & sell signals
• Trend structure visualization
• Clean, easy-to-read chart layout
Important Notes
• Signals are real-time and non-repainting
• Designed for general guidance, not trade automation
• Works across all markets and timeframes
Upgrade to Pro / Pro+
For advanced filtering, earlier entries, stronger confirmations, and premium features, check out TruTrend Pro and Pro+.
🔓 Upgrade access: whop.com
Spot Taker Flow & Early Warning System How Does This Code Detect a "Fake" Rise?
Spot VWMA Logic: The moving average looks not only at the price but also at how much "spot volume" is circulating at that price.
Fake Rise Scenario: If the price (candles) is going up but the Yellow (Binance) or Blue (Coinbase) lines we've drawn are below it, or the price is drooping to the level of these lines; know that the rise is being triggered by bots in futures trading, not spot buyers. This is a "Fake" rise.
Confirmed Rise: If the price is above all these L1 lines, there may be "real money behind it".
Gold Premium Histogram
Compares Altins1 to gram gold in turkish lira to see the deviation and suggesting when to arbitrage
GS Quantum Radar [Elite Aesthetic - Bilingual]GS Quantum Radar / GS 量子雷達
Overview / 概述
Inspired by the quantum physics concept of "Ghostly action at a distance," the GS Quantum Radar is a high-end quantitative tool designed to capture the hidden correlations between two entangled assets (e.g., 2330.TW vs. TSM, or NVDA vs. AI sector). It identifies "Quantum Tension"—statistical deviations that signal imminent mean reversion or breakout opportunities.
受量子力學中**「幽靈般的遠距作用」**啟發,GS 量子雷達是一款專為捕捉資產間隱藏關聯而設計的高階量化工具(例如台積電與 TSM ADR,或 NVDA 與 AI 類股)。它能識別「量子張力」——即統計學上的異常偏離,預示著即將到來的均值回歸或突破機會。
Core Logic / 核心邏輯
The indicator operates on Statistical Arbitrage principles using a dynamic Z-Score model:該指標基於統計套利原理,採用動態 Z-Score 模型:
Entanglement Strength (Correlation) / 糾纏強度(相關性): It measures how synchronized the two assets are. Signals are only valid when the correlation is high, ensuring you aren't trading noise.衡量兩項資產的同步程度。僅在相關性高時訊號才有效,確保您避開市場雜訊。
Quantum Tension (Z-Score) / 量子張力 (Z-Score): Using the formula $Z = \frac{x - \mu}{\sigma}$, it calculates the price ratio deviation.透過公式 $$Z = \frac{x - \mu}{\sigma}$$
計算價差比率的偏離值。
$Z > +2$ (Red Column / 紅色柱狀): Particle A is overstretched (Overvalued). / 資產 A 擴張過度(相對高估)。
$Z < -2$ (Green Column / 綠色柱狀): Particle A is compressed (Undervalued). / 資產 A 壓縮過度(相對低估)。Shutterstock探索
Key Features / 主要功能
Bilingual Cyberpunk Dashboard / 中英雙語賽博龐克儀表板: Real-time monitoring of network status, entanglement strength, and tension levels with intuitive scale bars.即時監控網路狀態、糾纏強度與張力水平,配備直觀的比例尺進度條。
Aesthetic UI / 視覺美學: Designed with a Neon-Tokyo palette. Optimized for Dark Mode with a focus on high-density information display.採用霓虹東京配色。專為深色模式優化,專注於高密度資訊顯示。
Taiwan Style Color / 台股配色慣例: Red for Bullish/Up, Green for Bearish/Down.符合台股習慣:紅漲、綠跌。
How to Use / 如何使用
Select your pair / 選擇對象: Load the script on your primary chart (e.g., 2330.TW) and input the "Entangled Particle" (e.g., NASDAQ:TSM) in settings.在主圖表(如 2330.TW)掛載腳本,並在設定中輸入「糾纏對象」(如 NASDAQ:TSM)。
Monitor the Status / 監控狀態: Look for "STRONG BUY" or "TAKE PROFIT" advisories on the dashboard.觀察儀表板上的「強力買進 (STRONG BUY)」或「獲利了結 (TAKE PROFIT)」建議。
Execute / 執行交易: Enter when the "Quantum Tension" hits the $\pm 2.0$ thresholds while "Entanglement" is full.當「量子張力」達到 $\pm 2.0$ 臨界點且「糾纏強度」滿格時進場。
Disclaimer / 免責聲明Trading involves significant risk. This indicator is a statistical tool for decision support and does not guarantee profits. Use with proper risk management.交易涉及重大風險。本指標為輔助決策的統計工具,不保證獲利。請配合適當的風險管理使用。
EURUSD Macro-FX ScoreAdvanced fundamental and technical analysis of the eur/usd for long-term trading/forecasting. Recommended to use in a daily chart. Follow for more tools and ideas
Dios51 - 1h HTF LIQUIDITY + VWAPPurpose
This indicator identifies high-timeframe (1H) liquidity events and combines them with VWAP and trend context to show structural LONG or SHORT bias.
________________________________________
How to Use
1. Look for LONG or SHORT signals on the 1H chart.
2. If signal appears → switch to lower timeframe (5m or 15m) for entry planning.
3. Use VWAP reclaim on LTF as confirmation for precise entry.
4. Stop-loss: place below liquidity low (LONG) or above liquidity high (SHORT).
5. Take-profit: 1R / 2R / runner based on risk-reward plan.
________________________________________
Key Notes
• Signals are rare and high-quality; zero signals → do not force trades.
• This is HTF bias only, not an entry machine.
• The indicator helps focus your LTF trading and save time.
Ultimate kNN Target Price and TimeDelivers Target-Price, Probability and Time to reach Target-Price.
Sri - Bollinger Bands (Custom TF) Sri – Bollinger Bands (Custom Timeframe) is an enhanced Bollinger Bands indicator designed to provide higher-timeframe volatility structure directly on a lower-timeframe chart.
Instead of calculating bands on the chart’s native timeframe, this script allows traders to select an independent custom timeframe (CTF) for Bollinger Band computation, enabling clearer trend context, noise reduction, and multi-timeframe confluence.
This is not a visual mashup. The indicator uses true higher-timeframe statistical calculations via request.security(), ensuring that the basis, deviation, and bands are mathematically derived from the selected timeframe candles, not approximated or resampled.
🔍 How It Works (Conceptual Explanation)
Custom Timeframe Logic
Bollinger Bands are calculated entirely on the user-selected timeframe (e.g., 1H, 4H, Daily), regardless of the chart timeframe.
This allows traders on 5-min or 15-min charts to trade within higher-timeframe volatility envelopes.
Flexible Moving Average Basis
The middle band (basis) supports multiple MA types:
SMA
EMA
SMMA (RMA)
WMA
VWMA
This flexibility lets traders adapt the band behavior to trend-following, mean-reversion, or volume-weighted strategies.
Standard Deviation Envelope
Upper and lower bands are derived using true standard deviation from the selected timeframe’s price data.
The multiplier is user-controlled, allowing tighter or wider volatility envelopes.
Overlay-Friendly Design
Bands are plotted directly on price with optional offset support.
A soft background fill visually highlights the volatility zone without obscuring candles.
🧠 Why This Indicator Is Useful
Eliminates the need to switch charts to view higher-timeframe Bollinger Bands
Helps identify:
HTF support & resistance zones
Volatility expansion and contraction
Mean-reversion opportunities inside HTF structure
Especially effective for:
Intraday traders trading in the direction of HTF bands
Scalpers using HTF volatility boundaries as dynamic targets
Swing traders aligning entries with higher-timeframe compression or breakout zones
⚙️ Inputs Explained
Custom Timeframe – Timeframe used for Bollinger Band calculation
Length – Lookback period for MA and standard deviation
Basis MA Type – Choice of moving average for the middle band
Source – Price source (Close, HL2, etc.)
StdDev Multiplier – Controls band width
Offset – Visual displacement only (does not affect calculations)
📈 Example Use Cases
Trade 5-minute breakouts when price expands beyond the 1-hour upper band
Look for mean-reversion setups when price stretches outside daily Bollinger Bands
Combine with volume, VWAP, or trend filters for confirmation
🛡️ Notes
This script focuses on clarity and structure, not signal repainting or alerts.
Calculations are transparent and consistent with standard Bollinger Band methodology, enhanced through multi-timeframe statistical integrity.
Week Levels (OHLC, Settlement, CE) [Tradeisto]Weekly Levels (Tradeisto) is a sophisticated tool designed to bring institutional-grade weekly analysis to your chart. It goes beyond simple horizontal lines by combining authoritative Settlement data with pixel-perfect origination times, ensuring your levels are both accurate and contextually precise.
Key Features
Dual Precision Technology:
Price Accuracy: Uses the authoritative Weekly timeframe to capture Settlement
prices,
ensuring your levels match official exchange data (critical for Futures).
Visual Precision: Uses 15-minute timeframe data to pinpoint the exact origination
time of the High and Low. Your lines start exactly when the level was created, not just at the
"start of the week".
Dynamic Current Week:
Live Updates: Watch the "Current Week" Open, High, Low, and CE (50%) develop in
real-time.
Auto-Rename: When the trading week closes (e.g., Friday Settlement), the "Current"
labels automatically switch to "Week Open/High/Low" labels, seamlessly transitioning into
history.
Smart Labeling:
"Prev." Prefix: Automatically distinguishes the immediate previous week (labeled
"Prev.") from older history (labeled "Week").
Settlement Awareness: Automatically labels the Close as "Settlement" for Futures
contracts when enabled, and "Close" for other assets.
Historical Reference: Configurable "Weeks to Show" allows you to keep a clean chart or dig deep into past market structure.
Settings
Settlement as Close: Toggle this to prioritize the Settlement price for the Weekly Close (Standard for Futures analysis).
Weeks to Show: Control how much history remains on your chart.
Current Week Visibility: Toggle individual components for the developing week (Open, High, Low, CE).
Tradeisto delivers a professional, clean, and highly accurate weekly framework for serious market analysis.
Risk Reward Table Only UYRisk–Reward Template (UY) — How to Read & Use It
This tool is designed to make position risk and reward fully transparent before you trade.
What You Enter (Inputs)
Account Size ($)
Your total trading capital.
Account Invested ($)
How much capital you are allocating to this position before leverage.
Entry and Exit Prices
How to Use This Tool Properly
If Total Risk % feels uncomfortable, the trade is oversized.
If Stop % is large, If Gain doesn’t justify Risk, skip the trade.
If Leverage inflates risk too much, reduce size
Session Levels (RTH OHLC, Settlement and others) [Tradeisto]Session Levels (Tradeisto) is a precision-focused trading tool designed to automatically plot the most critical price levels for intraday and swing analysis. Built for traders who rely on session structure, this indicator keeps your chart clean by managing levels dynamically.
Key Features
RTH Structure: Automatically detects and plots Regular Trading Hours (RTH) High, Low, Open, and Close.
Key Daily Levels: Displays essential daily references including Settlement, Daily Open, and Midnight Open.
Smart Mitigation: Levels are dynamic—they remain on your chart until price acts upon them. Once a level is "mitigated" (touched), it is automatically removed to keep your workspace uncluttered.
Real-Time Visibility: Mitigated levels stay visible for the duration of the current bar, so you never miss a reaction in real-time.
Precision Origination: Unlike standard indicators, our lines originate from the exact timestamp where the level was created. This ensures pixel-perfect accuracy on lower timeframes (e.g., 1m, 5m).
Multi-Asset Support: Intelligent RTH detection for major asset classes including:
Indices (NQ, ES, YM)
Metals (Gold, Silver)
Energy (Crude, NG)
Currencies & Grains
Manual Mode for custom session times.
Customization
Fully customizable colors for every level type.
Adjustable lookback/history depth (choose how many days of past levels to keep).
Toggle visibility for individual components (e.g., show only Settlement and RTH High/Low).
Tradeisto provides the clarity you need to trade session levels with confidence.
Algorithmic Regime Classifier - Lovable Chart**Join our Discord community for further discussion, updates, and help:**
discord.gg
---
### **Algorithmic Regime Classifier (Market Regime Scanner Pro)**
The **Algorithmic Regime Classifier** is a comprehensive, all-in-one market intelligence system designed to remove the noise from your charts. By combining volatility, momentum, volume, and multi-timeframe analysis, this indicator identifies the specific "Regime" the market is currently in—helping you trade *with* the flow rather than against it.
From detecting "Master Pattern" squeezes to identifying institutional order blocks and volume spikes, this tool acts as your automated trading analyst.
---
### **🌟 Key Features**
#### **1. Market Regime Detection (The Core Engine)**
The indicator automatically classifies price action into clear color-coded phases, removing analysis paralysis:
* **🔵 Contraction (Blue):** The "Squeeze." Volatility is low, and energy is building. *Strategy: Wait for the breakout.*
* **🟨 Expansion (Yellow):** The "Breakout." Volatility is expanding rapidly from a squeeze.
* **🟩 Strong Uptrend (Green):** Confirmed bullish trend with volume and ADX support.
* **🟥 Strong Downtrend (Red):** Confirmed bearish trend with volume and ADX support.
* **⬜ Normal/Weak Range:** Low probability choppy zones.
#### **2. 🤖 AI Smart Companion**
A unique text-based assistant located on your chart that interprets all data points in real-time. It provides:
* **Current Status:** (e.g., "MASTER PATTERN: CONTRACTION")
* **Actionable Advice:** (e.g., *"Value building in progress. STAY FLAT."* or *"Institutional Entry Detected! Trail stops."*)
* **Visual Confidence:** Changes color based on the strength of the setup (Green for Go, Purple for Trap, Blue for Wait).
#### **3. Multi-Timeframe (MTF) Bias Dashboard**
Don't trade in a vacuum. The pro dashboard analyzes **Trend, Money Flow, Momentum, Volume, and Volatility** across timeframes ranging from **1 minute to Monthly**.
* **Confluence Check:** Calculates a composite score to tell you if "Buyers are in Control" or if there are "Mixed Signals."
* **Anchoring:** Checks higher timeframes to ensure you aren't scalping against a massive trend.
#### **4. Smart Money Concepts (SMC) & Structure**
* **Order Blocks:** Automatically plots Bullish and Bearish order blocks based on consolidation and volume breakouts. Includes mitigation logic (blocks disappear when price tests them).
* **Support & Resistance:** Dynamic pivot-based S/R levels that track when zones are tested and broken.
#### **5. Quant Delta Volume Bubbles**
Detects hidden institutional activity using statistical Z-Scores.
* **Momentum Events:** Large aggressive buying/selling.
* **Absorption:** Passive limit orders absorbing aggressive market orders (often marks reversals).
* **Ghost Lines:** Visualizes where large liquidity entered the market, acting as future defense levels.
#### **6. VIX Exhaustion Signals**
Uses a calculated "Fear Index" (Williams Vix Fix) combined with Bollinger Bands to identify market bottoms and top-exhaustion points.
* **Signals:** High-contrast arrows and labels indicating potential reversals when price is overextended.
---
### **🛠️ How to Trade This System**
**The "Master Pattern" Strategy:**
1. **Wait for Blue (Contraction):** Look for the blue background and "Squeeze" signals. This indicates energy storage.
2. **Await the Breakout:** Watch for the transition to **Yellow (Expansion)** or **Green/Red (Trend)**.
3. **Confirm with AI & MTF:** Check the AI Companion text. If it says "IGNITION" and the MTF Dashboard shows alignment (e.g., Buyers in Control), enter the trade.
4. **Target:** Use the generated Support/Resistance lines or Order Blocks as take-profit targets.
---
### **Settings & Customization**
* **Regime Sensitivity:** Adjust the Contraction/Expansion factors to fit your asset's volatility.
* **Dashboard Positioning:** Move the AI Companion and MTF tables to any corner of the screen to fit your layout.
* **Visuals:** Toggle specific features (Order Blocks, Bubbles, S/R) on or off to keep your chart clean.
---
**Disclaimer:**
*This indicator is for educational and analytical purposes only. Past performance does not guarantee future results. Always manage your risk.*
Dios51 - 1H Bias Scanner (Liquidity + VWAP)only for BTC and ETH, 1h time frame ONLY. Waiting for long signal, then go on 5 min and find your enter according your model
Niftycycles Gann Intraday Ranges**Gann's Intraday Ranges** is a powerful trading tool that calculates and displays potential price ranges for instrument on intraday timeframes. This indicator helps traders identify precise support and resistance levels based on Gann's mathematical principles, providing clear price targets and risk management zones for your intraday trading sessions.
## 🎯 What This Indicator Shows You
### 1. **Price Range Levels**
- **Blue Anchor Line**: Your starting price reference point
- **Percentage-based Targets**: Multiple range extensions from the anchor price
- **Color-coded Levels**: Each percentage level has distinct colors for quick identification
- **High/Low Side Projections**: Levels projected both above and below the anchor
### 2. **Range Percentages Available**
- **50% Range**: Primary intraday target
- **100% Range**: Base intraday movement expectation
- **150% Range**: Extended intraday target
- **200% Range**: Maximum intraday extension
- **Additional Ranges**: 250%, 400%, 600%, 800% for extreme scenarios
### 3. **Comprehensive Information Table**
- **Instrument Name**: Current trading symbol
- **Anchor Price**: Your starting reference level
- **Base Range**: Calculated intraday range value
- **Price Levels Table**: All projected levels with type (High/Low)
- **Clean Display**: Right-side table with easy-to-read format
## 🎮 How to Use This Indicator
### Step 1: Apply to Your Chart
1. Add the indicator to any intraday timeframe (1-min to 4-hour charts)
2. The indicator automatically detects supported instruments
3. Levels will appear immediately on your chart
### Step 2: Set Your Anchor Price
1. **Option A**: Use current close price (set anchor to 0.0)
2. **Option B**: Enter a specific anchor price (previous session high/low, opening price, etc.)
3. The anchor becomes your reference point for all projections
### Step 3: Select Range Levels to Display
1. **Percentage Toggles**: Turn on/off specific range percentages (50%, 100%, 150%, etc.)
2. **Plot Direction**: Choose which side to display:
- **Anchor High Side**: Levels above the anchor only
- **Anchor Low Side**: Levels below the anchor only
3. **Show All Range Lines**: Toggle all lines on/off simultaneously
### Step 4: Customize Your View
1. **Date Input**: Set the calculation date (YYYY-MM-DD format)
2. **Table Settings**: Adjust table background and text colors
3. **Line Visibility**: Toggle price scale labels for cleaner charts
4. **Info Table**: Show/hide the information table as needed
## 📊 What You'll See on Your Chart
### Visual Elements:
1. **Blue Anchor Line**: Your reference price level (always visible)
2. **Colored Range Lines**: Each percentage level in distinct colors
3. **Information Table**: Top-right corner with all calculation details
4. **Price Labels**: Optional price values on the right scale
### How to Interpret:
**During Trading Sessions:**
- Monitor price action around the 50% and 100% levels for initial targets
- Use higher percentages (150%, 200%) for breakout/extended move targets
- The anchor line serves as your intraday pivot/reference point
**Range Level Applications:**
- **50% Level**: First profit target, initial resistance/support
- **100% Level**: Primary intraday move expectation
- **150%+ Levels**: Extended moves, breakout confirmation zones
**Table Information:**
- Quickly see all projected price levels
- Identify whether levels are High (above anchor) or Low (below anchor)
- Monitor the base range calculation for the session
## ⚠️ Critical Understanding
### What This Indicator Provides:
- ✅ **Precise Price Levels** for intraday trading
- ✅ **Multiple Target Zones** from conservative to aggressive
- ✅ **Visual Reference Points** on your chart
- ✅ **Flexible Configuration** for different trading styles
### What This Indicator Does NOT Do:
- ❌ **Not an entry signal generator**
- ❌ **Doesn't predict which direction price will move**
- ❌ **Doesn't guarantee price will reach any level**
- ❌ **Not a standalone trading system**
## 🔍 Professional Usage Tips
### Best Practices:
1. **Anchor Selection**: Use significant price levels (opening price, previous close, session high/low)
2. **Timeframe Alignment**: Higher timeframes (15-min, 30-min, 1-hour) often provide more reliable levels
3. **Confirmation Required**: Wait for price action confirmation at levels
4. **Context Matters**: Consider overall market conditions and volatility
### Practical Applications:
**For Intraday Traders:**
- **Profit Targets**: Set take-profit orders at projected levels
- **Stop Loss Placement**: Place stops beyond key range levels
- **Trade Planning**: Pre-plan entries at retracements to anchor line
**For Scalpers:**
- **Quick Reference**: Immediate visual price targets
- **Micro-Levels**: Use 50% and 100% levels for quick scalps
- **Session Planning**: Set up for the day based on calculated ranges
**For Position Sizing:**
- **Risk Calculation**: Distance between entry and range levels helps determine position size
- **Reward/Risk Assessment**: Compare potential profit at levels vs. stop loss
- **Multiple Target Strategy**: Scale out positions at different percentage levels
## 🎨 Customization Options
- **Range Selection**: Choose which percentage levels to display
- **Plot Direction**: High side, Low side, or both
- **Table Appearance**: Customize colors and visibility
- **Line Display**: Toggle individual levels on/off
- **Anchor Price**: Flexible reference point setting
## 📈 Real-World Strategy Integration
### Combine With Intraday Analysis:
- **Price Action**: Candlestick patterns at range levels
- **Volume Analysis**: Confirmation of level importance
- **Market Structure**: Support/resistance confluence with range levels
- **Time of Day**: Session-based volatility considerations
### Trading Approaches:
**Conservative Approach:**
1. Enter near anchor line
2. Target 50% level for partial profit
3. Trail stop or target 100% level for remainder
4. Use higher levels as breakout confirmation
**Aggressive Approach:**
1. Enter breakouts beyond 100% level
2. Target 150% or 200% levels
3. Use anchor line as stop loss reference
4. Scale into positions as price progresses through levels
**Range-Bound Markets:**
1. Fade moves to range extremes (250%+ levels)
2. Target anchor line or opposite range levels
3. Use tight stops beyond extreme levels
4. Quick scalps between closer levels (50%-100%)
## ⚙️ Key Features
- **Universal Application**: Works across all intraday timeframes
- **Flexible Configuration**: Customize which levels to display
- **Automatic Instrument Detection**: Recognizes major trading instruments
- **Clean Visual Display**: Non-cluttered, professional interface
- **Real-time Updates**: Levels adjust with changing anchor price
## 📝 Important Notes
- **Anchor Price Critical**: Results depend on accurate anchor selection
- **Intraday Focus**: Designed for short-term trading sessions
- **Confirmation Needed**: Always confirm with price action and volume
- **Market Conditions**: Effectiveness varies with market volatility
- **Multiple Timeframes**: Consider using on multiple intraday timeframes for confluence
**Final Advice:** This is a range projection tool, not a directional indicator. Use it to identify WHERE price might find significance during your intraday trading, then use your price action and volume analysis to determine WHEN to act. The most successful intraday traders combine these projected ranges with their existing trading methodology for improved timing and precision.
*Use as part of a complete intraday trading strategy with proper risk management.*
LINHFX Bull Bear DivergenceBull Bear Divergence is a momentum-based indicator designed to analyze bullish and bearish strength and identify divergence between price action and market momentum.
It helps traders detect:
Bullish divergence (potential upside reversal)
Bearish divergence (potential downside reversal)
Shifts in buying and selling pressure
This indicator is ideal for Price Action, Smart Money Concept (SMC), intraday and swing trading, and works across multiple timeframes and markets such as Forex, Gold, Crypto, and Indices.
Best used in combination with market structure, key levels, and risk manageme
LinhFX Bull Bear Divergence 2.0 Bull Bear Divergence is a momentum-based indicator designed to analyze bullish and bearish strength and identify divergence between price action and market momentum.
It helps traders detect:
Bullish divergence (potential upside reversal)
Bearish divergence (potential downside reversal)
Shifts in buying and selling pressure
This indicator is ideal for Price Action, Smart Money Concept (SMC), intraday and swing trading, and works across multiple timeframes and markets such as Forex, Gold, Crypto, and Indices.
Best used in combination with market structure, key levels, and risk manageme
Advanced kNN Target Price and TimeDeliver Target Price, Target Price probability and time to reach.
Machine Learning Based.
Eccodax Robust k-NN Machine Learning LorentzianHere is the complete, final, corrected, and clean code, already including:
✅ Fixed shadowing of the variable d
✅ No compilation warnings
✅ No temporal leaks
✅ Target = real future return
✅ Robust Lorentzian distance
✅ Correct Matrix structure
✅ Consistent feature engineering
✅ Min-Max normalization
✅ Weighted k-NN inference
✅ Correct price reconstruction
1. What this code is
It is a predictive indicator based on classic Machine Learning (k-Nearest Neighbors), fully implemented in PineScript v6, designed to:
Learn historical market patterns
Compare the current state with similar past states
Estimate the expected future price movement
Reconstruct a projected price consistent with the current level
It is not an oscillator, it is not a traditional technical indicator, and it does not react only to the immediate past.
2. What the Model Learns (Supervised Learning)
2.1 Features (Input Variables)
The model uses three dimensions of information, all normalized by Z-score:
Return
Measures the percentage change in price
Captures the immediate momentum of the market
Momentum (ROC)
Measures acceleration or deceleration of the movement
Differentiates trends from consolidations
Volatility
Measures the degree of market uncertainty
Adjusts the weight of strong movements vs. noise
These three variables form a market state vector.
2.2 Normalization (Z-Score)
Each feature is converted to:
Mean ≈ 0
Standard deviation ≈ 1
This ensures that:
No variable dominates the distance
The statistical comparison is valid
The model is stable in different price regimes
2.3 Target (Predicted Variable)
The model does not predict absolute price. It learns:
Observed future return after forecastBars
That is:
Learns movement, not level
Eliminates historical bias
Avoids predictions inconsistent with the current price
3. How the model makes the prediction
3.1 Search for similar patterns (k-NN)
For each current candle, the model:
Analyzes the last lookback candles
Calculates the Euclidean distance between the current state and each past state
Selects the k most similar states
Observes what happened after them
3.2 Inference
The predicted return is calculated as:
Weighted average of the future returns of the neighbors
Weights inversely proportional to the distance
More similar states → greater influence.
4. Price Reconstruction (Key Information)
From the predicted return, the model reconstructs:
Predicted Price = Current Close × (1 + Predicted Return)
Predicted Price = Current Close × (1 + Predicted Return)
This ensures that:
The forecast respects the current market level
The output is visually interpretable
There is no regression to past regimes
5. Relevant Information the Indicator Delivers
5.1 Predicted Price (Green Line)
What it is: Estimated price after forecastBars.
How to use:
Above the current price → bullish bias
Below → bearish bias
Large distance → expectation of strong movement
5.2 Predicted Return (Implicit)
Even though not plotted directly, it is the most important information in the model.
Positive → expectation of appreciation
Negative → expectation of decline
Negative → expectation of decline
Near zero → sideways market
5.3 Directional Classification (optional)
The model also acts as a binary classifier:
High if expected return > 0
Low if expected return < 0
This is used as:
Noise filter
Trend confirmation
False signal reduction
5.4 Implicit statistical context
The indicator carries information that is not visual, but is fundamental:
Market regime (trending vs. sideways)
Statistical similarity with the past
Relative confidence (via distance from neighbors)
6. What this indicator does NOT do
It is important to align expectations:
❌ Does not predict exogenous events
❌ Does not anticipate gaps
❌ Does not work well on illiquid assets
❌ Does not extrapolate long trends
k-NN replicates patterns, does not create scenarios Unprecedented.
7. Where this model works best
Markets with repetitive structure
Medium timeframes (5m – 1D)
Liquid assets
Environments with alternating regimes
8. How to use it in practice (professional recommendation)
Ideal use:
k-NN direction → bias
Technical indicator → timing
Risk management → execution
Never use it in isolation for entry.
9. Executive summary
This code delivers:
A functional supervised ML model in Pine
Prediction consistent with the current price
Statistical market direction
Reduction of historical bias
Solid foundation for quantitative strategies
Eccodax Advanced kNN Lorentziano Matrix1. What this code is
It is a predictive indicator based on classic Machine Learning (k-Nearest Neighbors), fully implemented in PineScript v6, designed to:
Learn historical market patterns
Compare the current state with similar past states
Estimate the expected future price movement
Reconstruct a projected price consistent with the current level
It is not an oscillator, it is not a traditional technical indicator, and it does not react only to the immediate past.
2. What the Model Learns (Supervised Learning)
2.1 Features (Input Variables)
The model uses three dimensions of information, all normalized by Z-score:
Return
Measures the percentage change in price
Captures the immediate momentum of the market
Momentum (ROC)
Measures acceleration or deceleration of the movement
Differentiates trends from consolidations
Volatility
Measures the degree of market uncertainty
Adjusts the weight of strong movements vs. noise
These three variables form a market state vector.
2.2 Normalization (Z-Score)
Each feature is converted to:
Mean ≈ 0
Standard deviation ≈ 1
This ensures that:
No variable dominates the distance
The statistical comparison is valid
The model is stable in different price regimes
2.3 Target (Predicted Variable)
The model does not predict absolute price. It learns:
Observed future return after forecastBars
That is:
Learns movement, not level
Eliminates historical bias
Avoids predictions inconsistent with the current price
3. How the model makes the prediction
3.1 Search for similar patterns (k-NN)
For each current candle, the model:
Analyzes the last lookback candles
Calculates the Euclidean distance between the current state and each past state
Selects the k most similar states
Observes what happened after them
3.2 Inference
The predicted return is calculated as:
Weighted average of the future returns of the neighbors
Weights inversely proportional to the distance
More similar states → greater influence.
4. Price Reconstruction (Key Information)
From the predicted return, the model reconstructs:
Predicted Price = Current Close × (1 + Predicted Return)
Predicted Price = Current Close × (1 + Predicted Return)
This ensures that:
The forecast respects the current market level
The output is visually interpretable
There is no regression to past regimes
5. Relevant Information the Indicator Delivers
5.1 Predicted Price (Green Line)
What it is: Estimated price after forecastBars.
How to use:
Above the current price → bullish bias
Below → bearish bias
Large distance → expectation of strong movement
5.2 Predicted Return (Implicit)
Even though not plotted directly, it is the most important information in the model.
Positive → expectation of appreciation
Negative → expectation of decline
Negative → expectation of decline
Near zero → sideways market
5.3 Directional Classification (optional)
The model also acts as a binary classifier:
High if expected return > 0
Low if expected return < 0
This is used as:
Noise filter
Trend confirmation
False signal reduction
5.4 Implicit statistical context
The indicator carries information that is not visual, but is fundamental:
Market regime (trending vs. sideways)
Statistical similarity with the past
Relative confidence (via distance from neighbors)
6. What this indicator does NOT do
It is important to align expectations:
❌ Does not predict exogenous events
❌ Does not anticipate gaps
❌ Does not work well on illiquid assets
❌ Does not extrapolate long trends
k-NN replicates patterns, does not create scenarios Unprecedented.
7. Where this model works best
Markets with repetitive structure
Medium timeframes (5m – 1D)
Liquid assets
Environments with alternating regimes
8. How to use it in practice (professional recommendation)
Ideal use:
k-NN direction → bias
Technical indicator → timing
Risk management → execution
Never use it in isolation for entry.
9. Executive summary
This code delivers:
A functional supervised ML model in Pine
Prediction consistent with the current price
Statistical market direction
Reduction of historical bias
Solid foundation for quantitative strategies
Relevant information provided by this code
1. Forecasted price (line)
Statistical projection consistent with the current level
Based on similar historical patterns
2. Implicit direction
Return > 0 → bullish bias
Return < 0 → bearish bias
3. Structural robustness
Lower sensitivity to outliers
Lower scale bias
Better adaptation to different regimes
This refactored version introduces significant improvements based on modern quantitative Machine Learning practices (similar to those found in jdehorty's "Lorentzian Classification" indicator):
Lorentzian Distance: Replaces the Euclidean distance (which is affected by noise and outliers) with Lorentzian Distance, which is much more robust for financial markets.
Matrix Structure: Uses the matrix object in Pine V6 to manage training data more efficiently and cleanly than loose arrays.
Feature Engineering (WaveTrend & RSI): Replaces simple Momentum with normalized indicators (RSI, WaveTrend, CCI, ADX), better capturing market dynamics.
Min-Max Normalization: Features are normalized on a 0-100 scale so that indicators with different magnitudes do not distort the distance calculation.
Inverse Distance Weighting: Instead of a simple average, the nearest neighbors (most similar) have greater weight in the prediction.
VSA 2.0ENG
VSA 2.0 is a next-generation Volume Spread Analysis based on tick volume and price behavior, stripped of classical rules and indicators.
It focuses on context, effort vs result, and institutional intent, filtering retail noise to read what smart money is doing, not what textbooks say.
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