Adaptive MACD Deluxe [AlgoAlpha]OVERVIEW
This script is an advanced rework of the classic MACD indicator, designed to be more adaptive, visually informative, and customizable. It enhances the original MACD formula using a dynamic feedback loop and a correlation-based weighting system that adjusts in real-time based on how deterministic recent price action is. The signal line is flexible, offering several smoothing types including Heiken Ashi, while the histogram is color-coded with gradients to help users visually identify momentum shifts. It also includes optional normalization by volatility, allowing MACD values to be interpreted as relative percentage moves, making the indicator more consistent across different assets and timeframes.
CONCEPTS
This version of MACD introduces a deterministic weight based on R-squared correlation with time, which modulates how fast or slow the MACD adapts to price changes. Higher correlation means smoother, slower MACD responses, and low correlation leads to quicker reaction. The momentum calculation blends traditional EMA math with feedback and damping components to create a smoother, less noisy series. Heiken Ashi is optionally used for signal smoothing to better visualize short-term trend bias. When normalization is enabled, the MACD is scaled by an EMA of the high-low range, converting it into a bounded, volatility-relative indicator. This makes extreme readings more meaningful across markets.
FEATURES
The script offers six distinct options for signal line smoothing: EMA, SMA, SMMA (RMA), WMA, VWMA, and a custom Heiken Ashi mode based on the MACD series. Each option provides a different response speed and smoothing behavior, allowing traders to match the indicator’s behavior to their strategy—whether it's faster reaction or reduced noise.
Normalization is another key feature. When enabled, MACD values are scaled by a volatility proxy, converting the indicator into a relative percentage. This helps standardize the MACD across different assets and timeframes, making overbought and oversold readings more consistent and easier to interpret.
Threshold zones can be customized using upper and lower boundaries, with inner zones for early warnings. These zones are highlighted on the chart with subtle background fills and directional arrows when MACD enters or exits key levels. This makes it easier to spot strong or weak reversals at a glance.
Lastly, the script includes multiple built-in alerts. Users can set alerts for MACD crossovers, histogram flips above or below zero, and MACD entries into strong or weak reversal zones. This allows for hands-free monitoring and quick decision-making without staring at the chart.
USAGE
To use this script, choose your preferred signal smoothing type, enable normalization if you want MACD values relative to volatility, and adjust the threshold zones to fit your asset or timeframe. Use the colored histogram to detect changes in momentum strength—brighter colors indicate rising strength, while faded colors imply weakening. Heiken Ashi mode smooths out noise and provides clearer signals, especially useful in choppy conditions. Use alert conditions for crossover and reversal detection, or monitor the arrow markers for entries into potential exhaustion zones. This setup works well for trend following, momentum trading, and reversal spotting across all market types.
Penunjuk dan strategi
Auto-Trend Finder (Pivot + ADX)Inspired in part by LuxAlgo Trendlines with Breaks. Extended and enhanced for directional clarity and pivot-based precision.
🔍 What It Does
The Auto-Trend Finder (Pivot + ADX) is a smart trend-detection toolkit that combines:
Pivot-based swing detection (HH, HL, LH, LL)
ADX-filtered trendline projections
Custom slope estimation using ATR, Standard Deviation, Linear Regression, or a blended approach
Candlestick pattern detection for added confirmation (e.g., hammer, engulfing, shooting star)
📈 How It Works
1. Swing Detection
Uses ta.pivothigh / ta.pivotlow to mark major price turning points.
Labels pivots as Higher High (HH), Lower High (LH), Lower Low (LL), or Higher Low (HL).
Optionally overlays basic candle pattern names for visual context.
2. Trendline Logic
Connects successive pivot highs/lows with real-time trendlines.
Draws separate Uptrend and Downtrend lines with distinct colors.
3. Extended Projections
Projects extended dashed lines from the last pivot using slope formulas:
ATR-based (volatility)
Stdev-based (dispersion)
Linear Regression (trend best-fit)
Or a Combined slope using user-defined weights.
Color changes dynamically on breakout to visually signal momentum shifts.
4. ADX Trend Strength Filter
Optional ADX filter disables trendline updates unless directional strength exceeds a threshold (e.g. 20+).
Helps remove noise in sideways markets.
⚠️ Important Notes
Backpainting Warning: This script includes a backpainting setting (backpaint) that may cause lines to appear "reliably predictive" in historical data. Backpainting does not repaint once the pivot is confirmed, but it still reflects a post-fact state. Use this feature cautiously in live trading decisions.
Reused Code Attribution: Extended trendline concept and breakout color logic were inspired by publicly available open-source versions of LuxAlgo's trendline logic. Credit is given in the script comments and here as required.
🛠️ How to Use It
Adjust Pivot Length for swing detection sensitivity.
Toggle ADX filtering on or off to avoid choppy signals.
Choose your preferred Slope Calculation Method.
Use candlestick labels as potential entry signals near trendline retests or breaks.
✅ Why This Is More Than a Mashup
This tool integrates several separate technical methods into one cohesive, customizable framework:
It’s not just combining indicators, it’s engineering synergy between them.
The slope and ADX filtering mechanics dynamically adjust to trend strength.
Candlestick confirmation and labeling give visual, real-time trade confidence.
It enhances open-source logic by adding modular slope options, ADX gating, pattern labeling, and user control.
"Know the structure. Follow the strength. Trade with clarity. Auto-Trend Finder is your edge in the chaos."
VWAP Supply & Demand Zones PRO**Overview:**
This script represents a major evolution of the original "VWAP Supply and Demand Zones" indicator. Initially created to explore price interaction with VWAP, it has now matured into a robust and feature-rich tool for identifying high-probability zones of institutional buying and selling pressure. The update introduces volume and momentum validation, dynamic zone management, alert logic, and a visual dashboard (HUD) — all designed for improved precision and clarity. The structural improvements, anti-repainting logic, and significant added utility warranted releasing this as a new script rather than a minor update.
---
### What It Does:
This indicator dynamically detects **supply and demand zones** using VWAP-based logic combined with **volume** and **momentum confirmation**. When price crosses VWAP with strength, it identifies the potential zone of excess demand (below VWAP) or supply (above VWAP), marking it visually with colored regions on the chart.
Each zone is extended for a user-defined duration, monitored for touch interactions (tests), and tracked for possible breaks. The script helps traders interpret price behavior around these institutional zones as either **reversal** opportunities or **continuation** confirmation depending on context and strategy preference.
---
### How It Works:
* **VWAP Basis**: Zones are anchored at VWAP at the time of a significant cross.
* **Volume & Momentum Filters**: Crosses are only considered valid if backed by above-average volume and notable price momentum.
* **Zone Drawing**: Validated supply and demand zones are drawn as boxes on the chart. Each is extended forward for a customizable number of bars.
* **Touch Counting**: Zones track the number of price touches. Alerts are issued after a user-defined number of tests.
* **Break Detection**: If price closes significantly beyond a zone boundary, the zone is marked as broken and visually dimmed.
* **Visual Dashboard (HUD)**: A compact real-time HUD displays VWAP value, active zone counts, and current market bias.
---
### How to Use It:
**Reversal Trading:**
* Look for price **rejecting** a zone after touching it.
* Use rejection candles or secondary indicators (e.g., RSI divergence) to confirm.
* These setups may offer low-risk entries when price respects the zone.
**Continuation Trading:**
* A **break of a zone** suggests strong directional bias.
* Use confirmed zone breaks to enter in the direction of momentum.
* Ideal in trending environments, especially with high volume and ATR movement.
---
### Key Inputs:
* **VWAP Length**: Moving VWAP period (default: 20)
* **Zone Width %**: Percentage size of zone buffer (default: 0.5%)
* **Min Touches**: How many times price must test a zone before alerts trigger
* **Zone Extension**: How far into the future zones are projected
* **Volume & ATR Filters**: Ensure only strong, valid crossovers create zones
---
### Alerts:
You can enable alerts for:
* **New zone creation**
* **Zone tests (after minimum touch count)**
* **Zone breaks**
* **VWAP crosses**
* **Active presence inside a zone (entry conditions)**
These alerts help automate market monitoring, making it suitable for discretionary or systematic workflows.
---
### Why It's a New Script:
This is not a cosmetic update. The internal logic, signal generation, filtering methodology, visual engine, and UX framework have been entirely rebuilt from the ground up. The result is a highly adaptive, precision-oriented tool — appropriate for intraday scalpers and swing traders alike. It goes far beyond the original in terms of functionality and reliability, justifying a fresh release.
---
### Suitable Markets and Timeframes:
* Works across all liquid markets (crypto, equities, futures, forex)
* Best used on timeframes where volume data is stable (5m and above recommended)
* Recalibrate inputs for optimal detection across instruments
SMEMA Trend CoreSMEMA Trend Core is a multi-timeframe trend analysis tool designed to provide a clean, adaptive and structured view of the market’s directional bias. It can be used in short term, swing or long term contexts. The internal calculation adjusts automatically based on the selected trading style, while always combining data from six timeframes.
At its core, the indicator uses a SMEMA, which is a Simple Moving Average applied to an EMA. This combination improves smoothness without losing reactivity. The SMEMA is calculated separately on 1H, 4H, 1D, 3D, 1W and 1M timeframes. These six values are then combined using dynamic weights that depend on the trading mode:
Short Term mode gives more influence to 1H and 4H
Swing Trading mode gives more influence to 1D, 3D and 1W
Long Term mode gives more influence to 1W and 1M
However, all six timeframes are always included in the final result. This avoids the tunnel vision of relying on a single resolution and ensures that the indicator captures both local and structural movements.
The result is a synthetic trend line, called Global SMEMA, that adapts to market conditions and offers a realistic view of the ongoing trend. To enhance the reading, the indicator calculates a Trend Score. This score reflects the position of price relative to the Global SMEMA, scaled by a long-term ATR, and adjusted by the slope of the trend line. A hyperbolic tangent function is used to normalize values and reduce distortion from outliers.
The final score is capped between -10 and +10, and used to define the trend state:
Green when the trend is bullish (score > +1.5)
Red when the trend is bearish (score < -1.5)
Brown when the trend is neutral (score between -1.5 and +1.5)
Optional Deviation Bands can be displayed at ±1, ±2 and ±3 ATR distances around the central line. These dynamic zones help identify extended price movements or potential support and resistance areas, depending on the current trend bias.
Main features:
A single, stable trend line based on six timeframes
Automatic rebalancing depending on trading mode
Quantified score integrating distance and slope
No overreaction to short-term noise
Deviation zones for advanced market context
No repainting, no lookahead, 100% real-time
SMEMA Trend Core is not a signal tool. It is a directional framework that helps you stay aligned with the real structure of the market. Use it to confirm setups, filter trades or simply understand where the market stands in its trend cycle.
Avions Ultimate indicator70% wr backtest it yourself. works best on bitcoin 30m timeframe works the best for me
MACD Full [Titans_Invest]MACD Full — A Smarter, More Flexible MACD.
Looking for a MACD with real customization power?
We present one of the most complete public MACD indicators available on TradingView.
It maintains the classic MACD structure but is enhanced with 20 fully customizable long entry conditions and 20 short entry conditions , giving you precise control over your strategy.
Plus, it’s fully automation-ready, making it ideal for quantitative systems and algorithmic trading.
Whether you're a discretionary trader or a bot developer, this tool is built to seamlessly adapt to your style.
⯁ WHAT IS THE MACD❓
The Moving Average Convergence Divergence (MACD) is a technical analysis indicator developed by Gerald Appel. It measures the relationship between two moving averages of a security’s price to identify changes in momentum, direction, and strength of a trend. The MACD is composed of three components: the MACD line, the signal line, and the histogram.
⯁ HOW TO USE THE MACD❓
The MACD is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. A 9-period EMA of the MACD line, called the signal line, is then plotted on top of the MACD line. The MACD histogram represents the difference between the MACD line and the signal line.
Here are the primary signals generated by the MACD:
Bullish Crossover: When the MACD line crosses above the signal line, indicating a potential buy signal.
Bearish Crossover: When the MACD line crosses below the signal line, indicating a potential sell signal.
Divergence: When the price of the security diverges from the MACD, suggesting a potential reversal.
Overbought/Oversold Conditions: Indicated by the MACD line moving far away from the signal line, though this is less common than in oscillators like the RSI.
⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
______________________________________________________
🔹 CONDITIONS TO BUY 📈
______________________________________________________
• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔹 MACD > Signal Smoothing
🔹 MACD < Signal Smoothing
🔹 Histogram > 0
🔹 Histogram < 0
🔹 Histogram Positive
🔹 Histogram Negative
🔹 MACD > 0
🔹 MACD < 0
🔹 Signal > 0
🔹 Signal < 0
🔹 MACD > Histogram
🔹 MACD < Histogram
🔹 Signal > Histogram
🔹 Signal < Histogram
🔹 MACD (Crossover) Signal
🔹 MACD (Crossunder) Signal
🔹 MACD (Crossover) 0
🔹 MACD (Crossunder) 0
🔹 Signal (Crossover) 0
🔹 Signal (Crossunder) 0
______________________________________________________
______________________________________________________
🔸 CONDITIONS TO SELL 📉
______________________________________________________
• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔸 MACD > Signal Smoothing
🔸 MACD < Signal Smoothing
🔸 Histogram > 0
🔸 Histogram < 0
🔸 Histogram Positive
🔸 Histogram Negative
🔸 MACD > 0
🔸 MACD < 0
🔸 Signal > 0
🔸 Signal < 0
🔸 MACD > Histogram
🔸 MACD < Histogram
🔸 Signal > Histogram
🔸 Signal < Histogram
🔸 MACD (Crossover) Signal
🔸 MACD (Crossunder) Signal
🔸 MACD (Crossover) 0
🔸 MACD (Crossunder) 0
🔸 Signal (Crossover) 0
🔸 Signal (Crossunder) 0
______________________________________________________
______________________________________________________
🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
______________________________________________________
______________________________________________________
⯁ UNIQUE FEATURES
______________________________________________________
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
______________________________________________________
📜 SCRIPT : MACD Full
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
______________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Sigmoid Trend Confidence Oscillator (STCO)Overview:
The Sigmoid Trend Confidence Oscillator (STCO) is a multi-length momentum indicator that combines Rate of Change (ROC) and Momentum (MOM) signals across short, medium, and long-term periods. It applies a sigmoid function to normalize and smooth these signals, producing a clear oscillator that reflects the confidence level in the current trend.
Key Features:
Combines ROC and MOM from three user-defined timeframes
Applies sigmoid normalization to scale values between -1 and +1
Customizable weighting presets to emphasize different length horizons
Optional smoothing using various moving average types (SMA, EMA, VWMA, WMA, HMA, RMA, TEMA, DEMA, FRAMA, TRIMA)
Threshold-based trend states indicating bullish, bearish, or neutral conditions
Optional candle coloring based on trend state for easy visualization
Clear plots including oscillator line, histogram, zero line, and threshold lines
How to Use:
Adjust weighting presets to fit your trading horizon and style
Enable smoothing to reduce noise on lower timeframes
Enable candle coloring for quick visual cues on price chart
Disclaimer
Disclaimer: This indicator is provided for educational and informational purposes only and does not constitute investment advice. Trading involves risk and may result in financial loss. Always perform your own research and consult with a qualified financial advisor before making any trading decisions.
PriceLevels GBHOW-TO: Goldbach Price Levels – Identify Algorithmic Key Zones
This open-source indicator highlights specific price levels ending with numbers like 03, 11, 29, 35, 65, and 71.
These values are often observed at key reversal or hesitation points and may align with algorithmic behavior patterns in the market.
What it does:
– Automatically scans and marks horizontal price levels containing these number endings
– You can toggle visibility for each number type
– Each level can have a custom color and line thickness
– Labels show price values at the end of each line
– Label color and transparency are fully customizable to match dark or light chart styles
This tool is designed to help traders visually spot recurring patterns that might otherwise go unnoticed.
It’s ideal for discretionary traders who want to study market structure through static price references.
This script is open-source and published for educational use.
For feedback or improvements, feel free to reach out via private message on TradingView.
Clean Support/Resistance Rejection (Strict Filtering)Best buy and Sell signal based on support and resistance levels.
You can edit how many candle rejections you want after rejection on each level.
Enjoy!
Bands Vision-XBands Vision-X (BB-Vision-X) – Full Description
Description:
Bands Vision-X is an indicator based on dynamic bands constructed from customizable moving averages and standard deviation, allowing you to visualize potential support and resistance zones, volatility, and market conditions. It uses an adjustable moving average (with multiple options such as SMA, EMA, WMA, JMA, LSMA, DEMA, and TEMA) to define the central line, and upper and lower bands calculated by standard deviation multiplied by an adjustable factor. The bands are smoothed by a Hull Moving Average (HMA) to reduce noise and improve clarity.
How to Use
The bands indicate potential support and resistance levels.
The central line serves as a dynamic price reference.
The distance between bands reflects market volatility.
Touches or breakouts of the bands may signal entry or exit opportunities.
Parameters
Parameter Description Default
Standard Error Band Period Period for moving average and standard deviation 20
Moving Average Type Type of moving average (SMA, EMA, etc.) SMA
Standard Deviation Multiplier Multiplier for standard deviation 2.0
Band Lines Smoothing Period Period for smoothing the bands (HMA) 5
Technical Notes
The JMA function used is not the original Jurik version but an approximate and open implementation based on publicly available TradingView community code.
Developed in Pine Script v6 with optimized and clean code.
Recommendations
Ideal for traders seeking a clear view of volatility and dynamic support/resistance levels.
Should not be used in isolation; it is recommended to combine with volume analysis, price action, or other technical indicators.
Adjust the period and multiplier according to the asset and timeframe for better effectiveness.
Cheat Setup//@version=5
indicator("Cheat Setup", overlay=true)
// === User inputs ===
adr_period = input.int(20, title="ADR Window (days)")
lookback = input.int(100, title="Historical Lookback (bars)")
sensitivity = input.float(1.5, minval=0.5, step=0.1, title="Sensitivity (Multiplier of Avg ADR%)")
show_threshold_lines = input.bool(true, title="Show ADR% / Threshold Lines")
// === ADR% Calculation ===
// ADR% = (20-day high - 20-day low) / 20-day low × 100
adr_percent = (ta.highest(high, adr_period) - ta.lowest(low, adr_period)) / ta.lowest(low, adr_period) * 100
// Average ADR% over lookback period
avg_adr_percent = ta.sma(adr_percent, lookback)
// Adaptive threshold
adaptive_threshold = avg_adr_percent * sensitivity
// Detection condition
cheat_setup_signal = adr_percent > adaptive_threshold
// === Plotting ===
bgcolor(cheat_setup_signal ? color.new(color.green, 80) : na, title="Cheat Setup Background")
// Optional: Visual aid lines
plot(show_threshold_lines ? adr_percent : na, title="ADR(20)%", color=color.orange)
plot(show_threshold_lines ? avg_adr_percent : na, title="Average ADR%", color=color.gray)
plot(show_threshold_lines ? adaptive_threshold : na, title="Adaptive Threshold", color=color.red)
// ## What This Script Is For
// This script helps detect potential breakout zones — often called a "Cheat Setup" — before they happen.
// It's useful for identifying periods where a stock's volatility starts expanding after consolidation, which often leads to a breakout.
// ## What Is a Cheat Setup?
// A Cheat Setup is a technical setup where:
// > The price has been consolidating within a narrow range.
// > When volatility suddenly increases, it may indicate a breakout is about to occur.
// This script alerts you when that volatility expansion begins, using an adaptive threshold.
// ## How the Script Works (Step by Step)
// 1. Calculates ADR%:
// Measures how much the price has moved over the past N days (default: 20),
// using the formula: (20-day high - 20-day low) ÷ 20-day low × 100
// 2. Calculates the average ADR% over a longer lookback period (default: 100 bars).
// 3. Sets an adaptive threshold:
// The average ADR% multiplied by a user-defined sensitivity factor (e.g. 1.5×).
// 4. Triggers a cheat setup signal if the current ADR% exceeds the threshold.
// 5. Displays a green background on the chart during the signal to visually highlight the cheat area.
// 6. Optionally draws 3 reference lines:
// - Current ADR% (orange line)
// - Average ADR% (gray line)
// - Adaptive threshold (red line)
// ## How to Use the Script
// 1. Apply the script on a TradingView chart (daily timeframe is recommended).
// 2. Select a stock (e.g. AAPL, TSLA, 0700, 9988).
// 3. Monitor for periods when the background turns green.
// 4. These green zones signal that volatility has increased — the stock may be preparing for a breakout.
// ## What to Do When You See a Green Background
// - Add the stock to your watchlist.
// - Wait for confirmation — such as a breakout above the recent consolidation range.
// - Use other indicators like RSI, volume, or moving averages to filter signals.
// - Avoid chasing; instead, use the green zone as early warning and plan your entry.
// ## Recommended Parameter Settings
// Parameter | Purpose
// ---------------------- | ---------------------------------------------------------------
// `adr_period` | Number of days to calculate ADR%, e.g. 20
// `lookback` | Number of bars to average ADR%, e.g. 100
// `sensitivity` | Multiplier for adaptive threshold. 1.5 = moderate, 2.0 = strict
// `show_threshold_lines` | Toggle visibility of the ADR%, average, and threshold lines
// If the signal appears too frequently, increase the `sensitivity`. If too few, lower it slightly.
// ## Summary
// This script identifies stocks that are showing early signs of a breakout based on abnormal volatility expansion.
// It's especially useful for traders who want to get ahead of the move — before a breakout occurs — rather than reacting to it afterward.
// If you'd like, I can extend this script to also include:
// - Volume filters
// - Consolidation zone detection
// - Alert setup
// - Breakout confirmation (e.g. close > recent high)
// Let me know if you want to take it further.
Babil34 Comparative Average PanelBabil34 Comparative Average Panel is an advanced moving averages dashboard that allows you to add and compare up to 5 EMAs, 5 DEMAs, and 5 SMAs simultaneously.
You can independently set the period, source, and timeframe for each average. With its colorful table and optional labels, you can easily observe the differences, trend changes, and crossovers between all averages at a glance.
It is suitable for both short-term and long-term strategies and lets you monitor multiple averages side by side.
Key Features:
Support for up to 5 independent EMAs, 5 DEMAs, and 5 SMAs
Multi-timeframe and multi-source selection
Clean, colorful table visualization
Toggleable labels and table for flexibility
Compatible with all markets and timeframes
Enhanced visual and technical analysis
This panel is specifically designed for traders who want to compare different types and periods of moving averages at a glance.
Langlands-Operadic Möbius Vortex (LOMV)Langlands-Operadic Möbius Vortex (LOMV)
Where Pure Mathematics Meets Market Reality
A Revolutionary Synthesis of Number Theory, Category Theory, and Market Dynamics
🎓 THEORETICAL FOUNDATION
The Langlands-Operadic Möbius Vortex represents a groundbreaking fusion of three profound mathematical frameworks that have never before been combined for market analysis:
The Langlands Program: Harmonic Analysis in Markets
Developed by Robert Langlands (Fields Medal recipient), the Langlands Program creates bridges between number theory, algebraic geometry, and harmonic analysis. In our indicator:
L-Function Implementation:
- Utilizes the Möbius function μ(n) for weighted price analysis
- Applies Riemann zeta function convergence principles
- Calculates quantum harmonic resonance between -2 and +2
- Measures deep mathematical patterns invisible to traditional analysis
The L-Function core calculation employs:
L_sum = Σ(return_val × μ(n) × n^(-s))
Where s is the critical strip parameter (0.5-2.5), controlling mathematical precision and signal smoothness.
Operadic Composition Theory: Multi-Strategy Democracy
Category theory and operads provide the mathematical framework for composing multiple trading strategies into a unified signal. This isn't simple averaging - it's mathematical composition using:
Strategy Composition Arity (2-5 strategies):
- Momentum analysis via RSI transformation
- Mean reversion through Bollinger Band mathematics
- Order Flow Polarity Index (revolutionary T3-smoothed volume analysis)
- Trend detection using Directional Movement
- Higher timeframe momentum confirmation
Agreement Threshold System: Democratic voting where strategies must reach consensus before signal generation. This prevents false signals during market uncertainty.
Möbius Function: Number Theory in Action
The Möbius function μ(n) forms the mathematical backbone:
- μ(n) = 1 if n is a square-free positive integer with even number of prime factors
- μ(n) = -1 if n is a square-free positive integer with odd number of prime factors
- μ(n) = 0 if n has a squared prime factor
This creates oscillating weights that reveal hidden market periodicities and harmonic structures.
🔧 COMPREHENSIVE INPUT SYSTEM
Langlands Program Parameters
Modular Level N (5-50, default 30):
Primary lookback for quantum harmonic analysis. Optimized by timeframe:
- Scalping (1-5min): 15-25
- Day Trading (15min-1H): 25-35
- Swing Trading (4H-1D): 35-50
- Asset-specific: Crypto 15-25, Stocks 30-40, Forex 35-45
L-Function Critical Strip (0.5-2.5, default 1.5):
Controls Riemann zeta convergence precision:
- Higher values: More stable, smoother signals
- Lower values: More reactive, catches quick moves
- High frequency: 0.8-1.2, Medium: 1.3-1.7, Low: 1.8-2.3
Frobenius Trace Period (5-50, default 21):
Galois representation lookback for price-volume correlation:
- Measures harmonic relationships in market flows
- Scalping: 8-15, Day Trading: 18-25, Swing: 25-40
HTF Multi-Scale Analysis:
Higher timeframe context prevents trading against major trends:
- Provides market bias and filters signals
- Improves win rates by 15-25% through trend alignment
Operadic Composition Parameters
Strategy Composition Arity (2-5, default 4):
Number of algorithms composed for final signal:
- Conservative: 4-5 strategies (higher confidence)
- Moderate: 3-4 strategies (balanced approach)
- Aggressive: 2-3 strategies (more frequent signals)
Category Agreement Threshold (2-5, default 3):
Democratic voting minimum for signal generation:
- Higher agreement: Fewer but higher quality signals
- Lower agreement: More signals, potential false positives
Swiss-Cheese Mixing (0.1-0.5, default 0.382):
Golden ratio φ⁻¹ based blending of trend factors:
- 0.382 is φ⁻¹, optimal for natural market fractals
- Higher values: Stronger trend following
- Lower values: More contrarian signals
OFPI Configuration:
- OFPI Length (5-30, default 14): Order Flow calculation period
- T3 Smoothing (3-10, default 5): Advanced exponential smoothing
- T3 Volume Factor (0.5-1.0, default 0.7): Smoothing aggressiveness control
Unified Scoring System
Component Weights (sum ≈ 1.0):
- L-Function Weight (0.1-0.5, default 0.3): Mathematical harmony emphasis
- Galois Rank Weight (0.1-0.5, default 0.2): Market structure complexity
- Operadic Weight (0.1-0.5, default 0.3): Multi-strategy consensus
- Correspondence Weight (0.1-0.5, default 0.2): Theory-practice alignment
Signal Threshold (0.5-10.0, default 5.0):
Quality filter producing:
- 8.0+: EXCEPTIONAL signals only
- 6.0-7.9: STRONG signals
- 4.0-5.9: MODERATE signals
- 2.0-3.9: WEAK signals
🎨 ADVANCED VISUAL SYSTEM
Multi-Dimensional Quantum Aura Bands
Five-layer resonance field showing market energy:
- Colors: Theme-matched gradients (Quantum purple, Holographic cyan, etc.)
- Expansion: Dynamic based on score intensity and volatility
- Function: Multi-timeframe support/resistance zones
Morphism Flow Portals
Category theory visualization showing market topology:
- Green/Cyan Portals: Bullish mathematical flow
- Red/Orange Portals: Bearish mathematical flow
- Size/Intensity: Proportional to signal strength
- Recursion Depth (1-8): Nested patterns for flow evolution
Fractal Grid System
Dynamic support/resistance with projected L-Scores:
- Multiple Timeframes: 10, 20, 30, 40, 50-period highs/lows
- Smart Spacing: Prevents level overlap using ATR-based minimum distance
- Projections: Estimated signal scores when price reaches levels
- Usage: Precise entry/exit timing with mathematical confirmation
Wick Pressure Analysis
Rejection level prediction using candle mathematics:
- Upper Wicks: Selling pressure zones (purple/red lines)
- Lower Wicks: Buying pressure zones (purple/green lines)
- Glow Intensity (1-8): Visual emphasis and line reach
- Application: Confluence with fractal grid creates high-probability zones
Regime Intensity Heatmap
Background coloring showing market energy:
- Black/Dark: Low activity, range-bound markets
- Purple Glow: Building momentum and trend development
- Bright Purple: High activity, strong directional moves
- Calculation: Combines trend, momentum, volatility, and score intensity
Six Professional Themes
- Quantum: Purple/violet for general trading and mathematical focus
- Holographic: Cyan/magenta optimized for cryptocurrency markets
- Crystalline: Blue/turquoise for conservative, stability-focused trading
- Plasma: Gold/magenta for high-energy volatility trading
- Cosmic Neon: Bright neon colors for maximum visibility and aggressive trading
📊 INSTITUTIONAL-GRADE DASHBOARD
Unified AI Score Section
- Total Score (-10 to +10): Primary decision metric
- >5: Strong bullish signals
- <-5: Strong bearish signals
- Quality ratings: EXCEPTIONAL > STRONG > MODERATE > WEAK
- Component Analysis: Individual L-Function, Galois, Operadic, and Correspondence contributions
Order Flow Analysis
Revolutionary OFPI integration:
- OFPI Value (-100% to +100%): Real buying vs selling pressure
- Visual Gauge: Horizontal bar chart showing flow intensity
- Momentum Status: SHIFTING, ACCELERATING, STRONG, MODERATE, or WEAK
- Trading Application: Flow shifts often precede major moves
Signal Performance Tracking
- Win Rate Monitoring: Real-time success percentage with emoji indicators
- Signal Count: Total signals generated for frequency analysis
- Current Position: LONG, SHORT, or NONE with P&L tracking
- Volatility Regime: HIGH, MEDIUM, or LOW classification
Market Structure Analysis
- Möbius Field Strength: Mathematical field oscillation intensity
- CHAOTIC: High complexity, use wider stops
- STRONG: Active field, normal position sizing
- MODERATE: Balanced conditions
- WEAK: Low activity, consider smaller positions
- HTF Trend: Higher timeframe bias (BULL/BEAR/NEUTRAL)
- Strategy Agreement: Multi-algorithm consensus level
Position Management
When in trades, displays:
- Entry Price: Original signal price
- Current P&L: Real-time percentage with risk level assessment
- Duration: Bars in trade for timing analysis
- Risk Level: HIGH/MEDIUM/LOW based on current exposure
🚀 SIGNAL GENERATION LOGIC
Balanced Long/Short Architecture
The indicator generates signals through multiple convergent pathways:
Long Entry Conditions:
- Score threshold breach with algorithmic agreement
- Strong bullish order flow (OFPI > 0.15) with positive composite signal
- Bullish pattern recognition with mathematical confirmation
- HTF trend alignment with momentum shifting
- Extreme bullish OFPI (>0.3) with any positive score
Short Entry Conditions:
- Score threshold breach with bearish agreement
- Strong bearish order flow (OFPI < -0.15) with negative composite signal
- Bearish pattern recognition with mathematical confirmation
- HTF trend alignment with momentum shifting
- Extreme bearish OFPI (<-0.3) with any negative score
Exit Logic:
- Score deterioration below continuation threshold
- Signal quality degradation
- Opposing order flow acceleration
- 10-bar minimum between signals prevents overtrading
⚙️ OPTIMIZATION GUIDELINES
Asset-Specific Settings
Cryptocurrency Trading:
- Modular Level: 15-25 (capture volatility)
- L-Function Precision: 0.8-1.3 (reactive to price swings)
- OFPI Length: 10-20 (fast correlation shifts)
- Cascade Levels: 5-7, Theme: Holographic
Stock Index Trading:
- Modular Level: 25-35 (balanced trending)
- L-Function Precision: 1.5-1.8 (stable patterns)
- OFPI Length: 14-20 (standard correlation)
- Cascade Levels: 4-5, Theme: Quantum
Forex Trading:
- Modular Level: 35-45 (smooth trends)
- L-Function Precision: 1.6-2.1 (high smoothing)
- OFPI Length: 18-25 (disable volume amplification)
- Cascade Levels: 3-4, Theme: Crystalline
Timeframe Optimization
Scalping (1-5 minute charts):
- Reduce all lookback parameters by 30-40%
- Increase L-Function precision for noise reduction
- Enable all visual elements for maximum information
- Use Small dashboard to save screen space
Day Trading (15 minute - 1 hour):
- Use default parameters as starting point
- Adjust based on market volatility
- Normal dashboard provides optimal information density
- Focus on OFPI momentum shifts for entries
Swing Trading (4 hour - Daily):
- Increase lookback parameters by 30-50%
- Higher L-Function precision for stability
- Large dashboard for comprehensive analysis
- Emphasize HTF trend alignment
🏆 ADVANCED TRADING STRATEGIES
The Mathematical Confluence Method
1. Wait for Fractal Grid level approach
2. Confirm with projected L-Score > threshold
3. Verify OFPI alignment with direction
4. Enter on portal signal with quality ≥ STRONG
5. Exit on score deterioration or opposing flow
The Regime Trading System
1. Monitor Aether Flow background intensity
2. Trade aggressively during bright purple periods
3. Reduce position size during dark periods
4. Use Möbius Field strength for stop placement
5. Align with HTF trend for maximum probability
The OFPI Momentum Strategy
1. Watch for momentum shifting detection
2. Confirm with accelerating flow in direction
3. Enter on immediate portal signal
4. Scale out at Fibonacci levels
5. Exit on flow deceleration or reversal
⚠️ RISK MANAGEMENT INTEGRATION
Mathematical Position Sizing
- Use Galois Rank for volatility-adjusted sizing
- Möbius Field strength determines stop width
- Fractal Dimension guides maximum exposure
- OFPI momentum affects entry timing
Signal Quality Filtering
- Trade only STRONG or EXCEPTIONAL quality signals
- Increase position size with higher agreement levels
- Reduce risk during CHAOTIC Möbius field periods
- Respect HTF trend alignment for directional bias
🔬 DEVELOPMENT JOURNEY
Creating the LOMV was an extraordinary mathematical undertaking that pushed the boundaries of what's possible in technical analysis. This indicator almost didn't happen. The theoretical complexity nearly proved insurmountable.
The Mathematical Challenge
Implementing the Langlands Program required deep research into:
- Number theory and the Möbius function
- Riemann zeta function convergence properties
- L-function analytical continuation
- Galois representations in finite fields
The mathematical literature spans decades of pure mathematics research, requiring translation from abstract theory to practical market application.
The Computational Complexity
Operadic composition theory demanded:
- Category theory implementation in Pine Script
- Multi-dimensional array management for strategy composition
- Real-time democratic voting algorithms
- Performance optimization for complex calculations
The Integration Breakthrough
Bringing together three disparate mathematical frameworks required:
- Novel approaches to signal weighting and combination
- Revolutionary Order Flow Polarity Index development
- Advanced T3 smoothing implementation
- Balanced signal generation preventing directional bias
Months of intensive research culminated in breakthrough moments when the mathematics finally aligned with market reality. The result is an indicator that reveals market structure invisible to conventional analysis while maintaining practical trading utility.
🎯 PRACTICAL IMPLEMENTATION
Getting Started
1. Apply indicator with default settings
2. Select appropriate theme for your markets
3. Observe dashboard metrics during different market conditions
4. Practice signal identification without trading
5. Gradually adjust parameters based on observations
Signal Confirmation Process
- Never trade on score alone - verify quality rating
- Confirm OFPI alignment with intended direction
- Check fractal grid level proximity for timing
- Ensure Möbius field strength supports position size
- Validate against HTF trend for bias confirmation
Performance Monitoring
- Track win rate in dashboard for strategy assessment
- Monitor component contributions for optimization
- Adjust threshold based on desired signal frequency
- Document performance across different market regimes
🌟 UNIQUE INNOVATIONS
1. First Integration of Langlands Program mathematics with practical trading
2. Revolutionary OFPI with T3 smoothing and momentum detection
3. Operadic Composition using category theory for signal democracy
4. Dynamic Fractal Grid with projected L-Score calculations
5. Multi-Dimensional Visualization through morphism flow portals
6. Regime-Adaptive Background showing market energy intensity
7. Balanced Signal Generation preventing directional bias
8. Professional Dashboard with institutional-grade metrics
📚 EDUCATIONAL VALUE
The LOMV serves as both a practical trading tool and an educational gateway to advanced mathematics. Traders gain exposure to:
- Pure mathematics applications in markets
- Category theory and operadic composition
- Number theory through Möbius function implementation
- Harmonic analysis via L-function calculations
- Advanced signal processing through T3 smoothing
⚖️ RESPONSIBLE USAGE
This indicator represents advanced mathematical research applied to market analysis. While the underlying mathematics are rigorously implemented, markets remain inherently unpredictable.
Key Principles:
- Use as part of comprehensive trading strategy
- Implement proper risk management at all times
- Backtest thoroughly before live implementation
- Understand that past performance does not guarantee future results
- Never risk more than you can afford to lose
The mathematics reveal deep market structure, but successful trading requires discipline, patience, and sound risk management beyond any indicator.
🔮 CONCLUSION
The Langlands-Operadic Möbius Vortex represents a quantum leap forward in technical analysis, bringing PhD-level pure mathematics to practical trading while maintaining visual elegance and usability.
From the harmonic analysis of the Langlands Program to the democratic composition of operadic theory, from the number-theoretic precision of the Möbius function to the revolutionary Order Flow Polarity Index, every component works in mathematical harmony to reveal the hidden order within market chaos.
This is more than an indicator - it's a mathematical lens that transforms how you see and understand market structure.
Trade with mathematical precision. Trade with the LOMV.
*"Mathematics is the language with which God has written the universe." - Galileo Galilei*
*In markets, as in nature, profound mathematical beauty underlies apparent chaos. The LOMV reveals this hidden order.*
— Dskyz, Trade with insight. Trade with anticipation.
Math by Thomas Liquidity PoolDescription
Math by Thomas Liquidity Pool is a TradingView indicator designed to visually identify potential liquidity pools on the chart by detecting areas where price forms clusters of equal highs or equal lows.
Bullish Liquidity Pools (Green Boxes): Marked below price where two adjacent candles have similar lows within a specified difference, indicating potential demand zones or stop loss clusters below support.
Bearish Liquidity Pools (Red Boxes): Marked above price where two adjacent candles have similar highs within the difference threshold, indicating potential supply zones or stop loss clusters above resistance.
This tool helps traders spot areas where smart money might hunt stop losses or where price is likely to react, providing valuable insight for trade entries, exits, and risk management.
Features:
Adjustable box height (vertical range) in points.
Adjustable maximum difference threshold between candle highs/lows to consider them equal.
Boxes automatically extend forward for visibility and delete when price sweeps through or after a defined lifetime.
Separate visual zones for bullish and bearish liquidity with customizable colors.
How to Use
Add the Indicator to your chart (preferably on instruments like Nifty where point-based thresholds are meaningful).
Adjust Inputs:
Box Height: Set the vertical size of the liquidity zones (default 15 points).
Max Difference Between Highs/Lows: Set the max price difference to consider two candle highs or lows as “equal” (default 10 points).
Box Lifetime: How many bars the box stays visible if not swept (default 120 bars).
Interpret Boxes:
Green Boxes (Bullish Liquidity Pools): Areas of potential demand and stop loss clusters below price. Watch for price bounces or accumulation near these zones.
Red Boxes (Bearish Liquidity Pools): Areas of potential supply and stop loss clusters above price. Watch for price rejections or distribution near these zones.
Trading Strategy Tips:
Use these zones to anticipate where stop loss hunting or liquidity sweeps may occur.
Combine with your Order Block, Fair Value Gap, and Market Structure tools for higher probability setups.
Manage risk by avoiding entries into price regions just before large liquidity pools get swept.
Automatic Cleanup:
Boxes delete automatically once price breaks above (for bearish zones) or below (for bullish zones) the zone or after the set lifetime.
RSI + WaveTrend Sinyal Alarmı//@version=5
indicator("RSI + WaveTrend Sinyal Alarmı", overlay=true)
// === RSI Divergence ===
len = input.int(9, "RSI Period")
src = input.source(close, "RSI Source")
lbR = input.int(3, "Pivot Lookback Right")
lbL = input.int(1, "Pivot Lookback Left")
osc = ta.rsi(src, len)
plFound = not na(ta.pivotlow(osc, lbL, lbR))
phFound = not na(ta.pivothigh(osc, lbL, lbR))
oscHL = osc > ta.valuewhen(plFound, osc , 1)
priceLL = low < ta.valuewhen(plFound, low , 1)
bullCond = priceLL and oscHL and plFound
oscLL = osc < ta.valuewhen(plFound, osc , 1)
priceHL = low > ta.valuewhen(plFound, low , 1)
hiddenBullCond = priceHL and oscLL and plFound
oscLH = osc < ta.valuewhen(phFound, osc , 1)
priceHH = high > ta.valuewhen(phFound, high , 1)
bearCond = priceHH and oscLH and phFound
oscHH = osc > ta.valuewhen(phFound, osc , 1)
priceLH = high < ta.valuewhen(phFound, high , 1)
hiddenBearCond = priceLH and oscHH and phFound
rsiBuySignal = bullCond or hiddenBullCond
rsiSellSignal = bearCond or hiddenBearCond
// === WaveTrend ===
n1 = input.int(10, "WT Channel Length")
n2 = input.int(21, "WT Average Length")
ap = hlc3
esa = ta.ema(ap, n1)
d = ta.ema(math.abs(ap - esa), n1)
ci = (ap - esa) / (0.015 * d)
tci = ta.ema(ci, n2)
wt1 = tci
wt2 = ta.sma(wt1, 4)
wtCrossUp = ta.crossover(wt1, wt2)
wtCrossDown = ta.crossunder(wt1, wt2)
// === Ortak Sinyal Şartı ===
buySignal = wtCrossUp and rsiBuySignal
sellSignal = wtCrossDown and rsiSellSignal
plotshape(buySignal, style=shape.labelup, color=color.lime, text="AL", title="AL Sinyali")
plotshape(sellSignal, style=shape.labeldown, color=color.red, text="SAT", title="SAT Sinyali")
alertcondition(buySignal, title="AL Sinyali", message="RSI Divergence + WaveTrend AL sinyali oluştu!")
alertcondition(sellSignal, title="SAT Sinyali", message="RSI Divergence + WaveTrend SAT sinyali oluştu!")
CPR-NIFTY-BUY-SELL-BY APRThis indicator will enable the Novice traders to find the write entry and exit for nifty option / spot trading.
Traders can use it carefully when the more option towards the expected direction. Take the entry after signal and hold it until you find the red candle close below the previous green candle for buy vice versa for sell trade.
if any updates or suggestion kindly send mail to jsbaskaran1@gmail.com
Breakout Entry Signals//@version=5
indicator("Breakout Entry Signals", overlay=true)
length = input.int(20, title="Breakout Period")
highestHigh = ta.highest(high, length)
lowestLow = ta.lowest(low, length)
longCondition = close > highestHigh
shortCondition = close < lowestLow
plotshape(longCondition, location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(shortCondition, location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
1-Min Scalping Strategy with Trailing Stop (1 Contract)This is a 1 min scalp strategy specifically written for NQ futures with consistency in mind and stop losses with trailing stops. Happy trading. *** Not an investment advice***
Nifty Futures ATM Option Signal//@version=6
indicator('Nifty Futures ATM Option Signal', overlay = true)
// === Input symbols ===
// You must update these to match the live ATM options of current expiry.
niftyFutSymbol = input.symbol('NSE:NIFTY1!', 'Nifty Index Futures')
atmCallSymbol = input.symbol('NSE:NIFTY250605C24750', 'ATM Call Option (Same Expiry)')
atmPutSymbol = input.symbol('NSE:NIFTY250605P24750', 'ATM Put Option (Same Expiry)')
// === Get OHLC values from 5-minute charts ===
niftyOpen = request.security(niftyFutSymbol, '5', open)
niftyClose = request.security(niftyFutSymbol, '5', close)
callOpen = request.security(atmCallSymbol, '5', open)
callClose = request.security(atmCallSymbol, '5', close)
putOpen = request.security(atmPutSymbol, '5', open)
putClose = request.security(atmPutSymbol, '5', close)
// === Candle directions ===
niftyRed = niftyClose < niftyOpen
niftyGreen = niftyClose > niftyOpen
callGreen = callClose > callOpen
putGreen = putClose > putOpen
// === Trading signals ===
buySignal = niftyRed and callGreen
sellSignal = niftyGreen and putGreen
// === Plot signals on chart ===
plotshape(buySignal, title = 'Buy Signal', location = location.belowbar, color = color.green, style = shape.triangleup, size = size.small)
plotshape(sellSignal, title = 'Sell Signal', location = location.abovebar, color = color.red, style = shape.triangledown, size = size.small)
bgcolor(buySignal ? color.new(color.green, 85) : na, title = 'Buy Background')
bgcolor(sellSignal ? color.new(color.red, 85) : na, title = 'Sell Background')
Price Imbalance Flow Tracker📊 PIFT: Price Imbalance Flow Tracker
At first glance, PIFT might look like a standard Bollinger Band overlay slapped on a few moving averages…
It’s not.
Every part of this system is custom-tuned:
- The envelopes aren’t based on standard deviation—they’re built from smoothed price structure using average candle range.
- There’s no central mean reversion assumption—bands don’t just expand and contract randomly; they flip in and out of dominance based on trend control.
- The MA lengths (25/50/100) are deliberately chosen to sync with RIFT’s RSI layers, following a proprietary ratio rooted in how momentum and structure align over time.
- It may resemble Bollinger Bands from a distance, but this is a bespoke trend envelope engine, built for clarity, control, and confluence—not statistical noise.
A precision envelope engine for price action that mirrors RIFT’s RSI logic—because momentum and structure should speak the same language. PIFT tracks trend dominance directly on the price chart using layered moving average envelopes and dynamic fill logic.
Together with my other indicator called RIFT (Relative Imbalance Flow Tracker), it forms a two-part confluence system:
- RIFT shows who’s winning the momentum battle.
- PIFT shows who’s controlling price structure.
- Use them side by side to spot false moves, real breakouts, and trend exhaustion with confidence.
🧠 How It Works
PIFT plots three WMA-based moving averages:
🔹 25 WMA = fast reaction line
🔸 50 WMA = medium-term trend
🟣 100 WMA = long-term structural flow
Each MA gets a fixed-width envelope based on average candle range (not percent of price), so bands stay visually consistent across timeframes.
Then the script checks envelope dominance:
- If the fast band extends beyond the others → it glows.
- If not → it fades out to reduce clutter.
🎨 Color Logic
🔴 Upper Band (Red) = Overextended uptrend
🟢 Lower Band (Green) = Oversold or trending support zone
🔍 How to Read It
🔴 Red envelope dominates but price slows? = Uptrend stalling
🟢 Green envelope dominates + candles cluster near band? = Watch for bounce
✅ Fast band flips dominance = Potential breakout or reversal
⚙️ Why It’s Useful
- See when price is actually leading, not just floating between MAs
- Avoid choppy MA crosses and use envelope shape and fills to understand context
- Watch for volatility compression before major shifts
- Use with RIFT to spot momentum/price mismatches and false moves
🔗 Works Best With: RIFT
- PIFT is the price-side partner to RIFT. When both show dominance in the same direction, confidence increases.
- When one flips but the other doesn't? You're looking at either early momentum divergence (RIFT) or a structural fakeout (PIFT). Either way: you’re ahead of the candles.
SuperTrend Adaptive (STD Smooth)Supertrend DeNoise (StdDev + Smoothing) is an advanced trend-following indicator designed to reduce false signals and market noise. This version enhances the classic Supertrend by incorporating standard deviation into the channel calculation and a smoothing factor, making the bands wider and more adaptive to volatility. The result is fewer whipsaws and clearer, more robust trend signals. Buy and sell labels appear only at the latest signal, keeping your chart uncluttered and focused. Ideal for traders seeking a cleaner trend indicator for any timeframe.
Market Structure TableJust learning pinescript...
Indicator should summarise market structure in a table and overplot pivot points on chart
NIFTY Intraday Strategy - 50 Points📊 NIFTY Intraday Strategy – Description
This Pine Script defines an intraday trading strategy targeting +50 points per trade on NIFTY, using a blend of trend-following and momentum indicators. Here's a breakdown:
🔍 Core Components
1. Indicators Used
VWAP: Volume-Weighted Average Price – institutional anchor for fair value.
Supertrend: Trend direction indicator (parameters: 10, 3.0).
RSI (14): Measures strength/momentum.
ATR (14): Determines volatility for stop-loss calculation.
📈 Entry Conditions
✅ Buy Entry
Price is above VWAP
Supertrend direction is bullish
RSI is above 50
Time is between 9:15 AM and 3:15 PM (India time)
❌ Sell Entry
Price is below VWAP
Supertrend direction is bearish
RSI is below 50
Time is within same market hours
🎯 Exit Logic
Target: 50 points from entry
Stop Loss: 1 × ATR from entry
If neither is hit by 3:15 PM, the position is held (though you may add exit logic at that time).
📌 Visualization
VWAP: orange line
Supertrend: green (uptrend), red (downtrend)
Buy Signal: green triangle below bar
Sell Signal: red triangle above bar
This strategy is ideal for intraday scalping or directional momentum trading in NIFTY Futures or Options.
a. Add end-of-day exit at 3:15 PM to fully close all trades
b. Add a risk-reward ratio input to dynamically adjust target vs stop-loss
