Mark specific candle (e.g. bar 20)This Pine Script indicator, "Mark specific candle (e.g. bar 20)" (short title "Mark candle"), is a simple yet powerful tool to visually highlight a particular candle on your chart.
What it does:
It marks a specific candle (e.g., the 20th, 10th, or any number you choose) counting backwards from the most recent candle on your chart. The marked candle will be colored in a subtle light grey and also feature a tiny, matching grey arrow pointing down from above it.
Why it's useful:
This indicator helps you quickly identify and track a consistent reference point in recent price action. It's great for strategies that depend on fixed look-back periods or for simply keeping an eye on a specific historical candle's position as new data comes in.
Key Features:
Adjustable Candle Number: Easily change which candle is marked (e.g., 20th, 10th, 5th) directly from the indicator settings using the "Candle Number to Mark (from end)" input.
Clear Visuals: Both the candle color and a small arrow provide a subtle, yet effective, visual cue.
How to use:
Simply add this script to your TradingView chart. Then, open the indicator's settings to set your desired candle number.
Penunjuk dan strategi
Heatmap Trailing Stop with Breakouts (Zeiierman)█ Overview
Heatmap Trailing Stop with Breakouts (Zeiierman) is a trend and breakout detection tool that combines dynamic trailing stop logic, Fibonacci-based levels, and a real-time market heatmap into a single, intuitive system.
This indicator is designed to help traders visualize pressure zones, manage stop placement, and identify breakout opportunities supported by contextual price–derived heat. Whether you're trailing trends, detecting reversals, or entering on explosive breakouts — this tool keeps you anchored in structure and sentiment.
It projects adaptive trailing stop levels and calculates Fibonacci extensions from swing-based extremes. These levels are then colored by a market heatmap engine that tracks price interaction intensity — showing where the market is "hot" and likely to respond.
On top of that, it includes breakout signals powered by HTF momentum conditions, trend direction, and heatmap validation — giving you signals only when the context is strong.
█ How It Works
⚪ Trailing Stop Engine
At its core, the script uses an ATR-based trailing stop with trend detection:
ATR Length – Defines volatility smoothing using EMA MA of true range.
Multiplier – Expands/retracts the trailing offset depending on market aggression.
Real-Time Extremum Tracking – Uses local highs/lows to define Fibonacci anchors.
⚪ Fibonacci Projection + Heatmap
With each trend shift, Fibonacci levels are projected from the new swing to the current trailing stop. These include:
Fib 61.8, 78.6, 88.6, and 100% (trailing stop) lines
Heatmap Coloring – Each level'slevel's color is determined by how frequently price has interacted with that level in the recent range (defined by ATR).
Strength Score (1–10) – The number of touches per level is normalized and averaged to create a heatmap ""score"" displayed as a colored bar on the chart.
⚪ Breakout Signal System
This engine detects high-confidence breakout signals using a higher timeframe candle structure:
Bullish Breakout – Strong bullish candle + momentum + trend confirmation + heatmap score threshold.
Bearish Breakout – Strong bearish candle + momentum + trend confirmation + heatmap score threshold.
Cooldown Logic – Prevents signals from clustering too frequently during volatile periods.
█ How to Use
⚪ Trend Following & Trail Stops
Use the Trailing Stop line to manage positions or time entries in line with trend direction. Trailing stop flips are highlighted with dot markers.
⚪ Fibonacci Heat Zones
The projected Fibonacci levels serve as price magnets or support/resistance zones. Watch how price reacts at Fib 61.8/78.6/88.6 levels — especially when they're glowing with high heatmap scores (more glow = more historical touches = stronger significance).
⚪ Breakout Signals
Enable breakout signals when you want to trade breakouts only under strong context. Use the "Heatmap Strength Threshold" to require a minimum score (1–10).
█ Settings
Stop Distance ATR Length – ATR period for volatility smoothing
Stop Distance Multiplier – Adjusts the trailing stop'sstop's distance from price
Heatmap Range ATR Length – Defines how far back the heatmap scans for touches
Number of Heat Levels – Total levels used in the heatmap (more = finer resolution)
Minimum Touches per Level – Defines what counts as a ""hot"" level
Heatmap Strength Threshold – Minimum average heat score (1–10) required for breakouts
Timeframe – HTF source used to evaluate breakout momentum structure
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
HGDA Fusion ZonesHGDA Fusion Zones — Adaptive Price Action + Dual Momentum System
HGDA Fusion Zones is a hybrid technical analysis tool that dynamically detects potential price reversal areas based on recent price range behavior and confirms entry signals using dual-momentum logic combining MACD and Stochastic indicators.
🧠 What It Does:
The script calculates the highest high and lowest low over a user-defined lookback period to determine the active price range. From that, it generates a set of adaptive levels based on HGDA proprietary zone ratios, derived from Fibonacci logic and live-tested intraday behavior. These levels are plotted and filled visually as support/resistance zones.
The indicator classifies the levels into:
🔴 U-turn Zones (possible overextension zones)
🟢 Key Zones (potential pivots and reaction zones)
🟡 Zero Line (central equilibrium reference)
⚙️ Signal Engine Logic:
The indicator combines two popular momentum signals to generate higher-conviction entries:
MACD Crossovers (filtered by being below/above zero line)
Stochastic Crossovers (filtered to avoid overbought/oversold traps)
Signals are categorized as:
✅ Buy or Sell (when either indicator confirms)
💥 Strong Buy or Strong Sell (when both indicators align)
This approach reduces noise and focuses on high-confidence setups only.
📈 How To Use:
Use the zones to identify areas of interest (support/resistance, reversal potential).
Wait for signal shapes (BUY/SELL) at or near zone boundaries.
Confirm entries using candle behavior + signal alignment.
Alerts are included for Strong Buy/Sell scenarios.
🧬 What Makes It Original:
Unlike static zone indicators, HGDA Fusion Zones adapts in real-time to shifting market structure and combines zone logic with a dual confirmation filter.
It’s not a simple mashup — it’s a structured system that balances price action with filtered momentum, specifically designed to reduce false signals and support both intraday and swing traders.
🔒 This script is Invite-Only and intended for experienced traders seeking cleaner entries around actionable zones.
📩 To request access, contact us via private message.
Fib-SMAs + 23↘38 Signal🧠 Fibonacci SMAs — and the Bearish Power of the 23↘38 Cross
This script plots a ribbon of 5 Simple Moving Averages (SMAs), each derived from Fibonacci retracement ratios:
23.6%, 38.2%, 50%, 61.8%, and 78.6% — all calculated as percentages of a base length (default: 100 bars).
It transforms the classical Fibonacci concept from static price levels into a dynamic trend structure based on time.
🔍 The Pattern I Discovered
When studying the Daily BTC chart, I found a powerful recurring signal:
When the 23.6% SMA (fuchsia) crosses below the 38.2% SMA (teal),
Bitcoin tends to pull back significantly in the following weeks.
This signal, which I call the 23↘38 cross, shows up at:
Major market tops
Bull market pauses
Local overextensions during trend runs
In backtested cases since 2014, this cross preceded corrections of 8–35%, usually playing out over the following 10–40 days.
⚠️ What’s Happening Now?
A fresh 23↘38 bearish cross has just occurred on the Daily BTC chart.
Historically, these setups often result in BTC pulling back into the zone where the 61.8% and 78.6% SMAs act as mean reversion targets.
That puts the next major support zone in the range of $94.5k to $79k — highlighted automatically on the chart when the signal appears.
💡 Why Use Fibonacci for Time?
Fibonacci levels (0.236, 0.382, 0.618...) are traditionally used on the price axis.
This tool flips that idea: it applies Fibonacci ratios to the time axis — calculating SMAs that reflect natural market timing rhythms, not just support/resistance lines.
The result is a ribbon of rhythm, where each line represents a unique retracement of time-based momentum.
🧰 Features Included
Besides the core 23↘38 bearish signal, the script includes optional toggleable modules:
Name Description
Ribbon Flip-and-Go Detects full bullish or bearish alignment and trend ignition
Pinch Breakout Flags volatility compression followed by expansion
Deep-Dip Buy/Sell Finds smart pullbacks in ongoing trends using the 61.8% SMA
Each one includes alertcondition() support, so you can automate strategies or trading bots.
🧭 How to Trade It
Use the 23↘38 cross as an early warning to:
Secure profits
De-risk exposure
Watch for pullbacks to the slower SMAs (61.8% / 78.6%)
It’s not a short signal by itself, but a macro timing filter that consistently front-runs volatility drops in overheated markets.
📉 Historical Examples (BTC 1D)
Nov 2021 top → -35% drop
April 2022 rally → -28% retracement
Mid-2023 local high → -15% correction
June 2025 cross → current signal, target zone: 94.5k–79k
⚠️ Disclaimer
This is not financial advice. It’s a tool for studying probability patterns in price action.
Use it alongside proper risk management and market context.
Last Candle Std Dev BandsSTandard deviation candles, very basic not much, can build into a larger mean reversion strategy
MarketCap_FreeFloat_2.0 MarketCap_FreeFloat_2.0
This powerful multi-metric indicator is designed for traders and investors seeking fundamentally strong, liquid, and trending stocks on NSE/BSE. It blends core fundamentals, liquidity, and adaptive trend-speed analytics into one comprehensive visual tool.
🧩 Key Features
🔍 Fundamental Screening
Market Cap (Cr) – Auto-calculated using real-time price × outstanding shares
Free Float (Cr & %) – Identifies liquidity available for trading
Market Cap Category – Auto-classified into Small, Mid, or Large Cap
💧 Liquidity Analytics
Turnover vs Avg Turnover (20D) – Measures relative liquidity
Float Utilization % – Daily volume as % of free float
Liquidity Ratio Threshold – Filters out illiquid names
🚀 Adaptive Speed Detection
Z-Score based Momentum – Detects unusual price strength over the last 63 trading days
Trend-Adjusted – Speed score is biased by trend (via linear regression slope)
Visual Alerts – Triangular markers for fast/extreme moves
Levels:
🚀 EXTREME
⚡ FAST
🔥 ACTIVE
📈 NORMAL
🐢 WEAK
📈 Technical Edge
RSI – Included for gauging strength
VWAP – Optional overlay
Relative Strength vs Benchmark – Auto-compares with CNXSMALLCAP (or user choice)
🖥️ Table Display
All metrics are neatly summarized in a top-right dynamic table
Color-coded for quick interpretation
Optionally includes a floating liquidity label per bar
⚙️ Customization Options
Benchmark Index selection
Adjustable liquidity/screening thresholds
Choose label or plotshape for liquidity markers
Control table and label sizes
Enable/disable VWAP, speed legend, or high-liquidity filtering
✅ Ideal Use Cases
Screen fundamentally sound, liquid movers
Spot fast-trending stocks early
Confirm momentum with trend-adjusted speed
Overlay on any NSE/BSE equity chart
ℹ️ Notes
Fundamental data is sourced using request.financial() (may be limited for some stocks)
Speed is calculated using z-score of daily returns adjusted for the 63-bar linear regression slope
Liquidity labels are shown conditionally to prevent clutter
Swing V1.0Overview
The Swing V1.0 indicator combines volume analysis, momentum detection, and adaptive trend channels to identify high-probability swing trading opportunities. This system integrates multiple technical analysis concepts into a unified framework designed for traders seeking precise entry and exit points in trending markets.
Core Methodology
Volume-Price Integration
The indicator begins with a sophisticated volume analysis that calculates cumulative volume weighted by price direction. Unlike traditional volume indicators, this system creates "shadow" values by applying volume momentum to price spreads, providing a volume-adjusted price series that better reflects institutional activity and smart money flow.
Advanced Moving Average Framework
The system employs a comprehensive moving average engine supporting multiple different MA and custom triple-smoothed variants. This flexibility allows optimization for different market conditions and timeframes. The default 9-period EMA provides responsive trend detection while minimizing false signals.
Adaptive Trend Channel System
The core trend detection uses linear regression slope analysis combined with an adaptive channel system. The channel automatically adjusts its sensitivity based on market volatility, creating dynamic support and resistance levels. The trend changes are determined by price breaking above or below these adaptive boundaries, filtering out minor fluctuations while capturing significant directional moves.
Signal Generation Logic
Long and short signals are generated when the adaptive trend channel changes direction, confirmed by volume-weighted momentum shifts. This multi-factor confirmation reduces false signals common in single-indicator systems. The visual signals appear as colored circles with customizable colors for different market conditions.
Pivot Point Detection
The system includes automatic pivot point identification using a 50-period lookback mechanism. Local tops and bottoms are marked when price extremes are confirmed, providing additional confluence for trend reversal scenarios.
Key Features
Multi-timeframe compatibility: Works effectively on all timeframes from 1-minute to daily charts
Volume integration: Incorporates volume analysis for institutional flow detection
Adaptive sensitivity: Automatically adjusts to market volatility
Comprehensive alerts: Built-in alert system for signals and pivot points
Visual clarity: Clean chart presentation with customizable signal colors
Low repaint: Signals are confirmed and stable once formed
Trading Applications
This indicator is particularly effective for:
Swing trading in trending markets
Identifying trend reversals with volume confirmation
Finding optimal entry points for momentum trades
Setting dynamic stop-loss levels using the trend channel
Confirming breakouts with volume validation
Limitations and Considerations
Like all technical indicators, Swing V1.0 performs best in trending markets and may generate false signals during extended consolidation periods. The volume component requires adequate trading volume to function optimally, making it less suitable for very low-volume assets. Users should combine this indicator with proper risk management and market context analysis.
The system is designed for intermediate to advanced traders who understand the importance of confluence and risk management in trading decisions.
E7T's S&D strategy
E7T's S&D Strategy - Precision Hunting System
Core Concept
This indicator identifies institutional supply/demand zones using a proprietary multi-factor algorithm that combines:
Adaptive pivot detection (swing highs/lows)
Volume-confirmed retests
Fibonacci-based profit targets
Timeframe-optimized parameters
How It Works
1. Zone Detection
Identifies significant swing points using an adaptive lookback period (4-5 bars)
Confirms zones with volume and price action criteria
Adjusts zone sensitivity based on market volatility (Low/High modes)
2. Signal Generation
S1 Signals: Early entries when price retests zones with basic confirmation
S2 Signals: Higher-confidence entries requiring:
Minimum candle body size (10% of ATR by default)
Volume confirmation (spike or above average)
Alignment with selected market bias (Bullish/Bearish selector)
3. Trade Management
Automatic Fibonacci-based profit targets (TP1 at 2.12x zone height, TP2 at 3.3x)
Stop loss placement at 0.618 Fib level from entry
Visual risk/reward ratios displayed on chart
Unique Features
Adaptive Timeframe Optimization: Automatically adjusts parameters for 30m/4H charts (most reliable) while remaining functional on other timeframes
Volatility-Responsive: Changes zone width and confirmation criteria based on market conditions
Three-Phase Trading Plan: Built-in progression system for skill development:
1. Reconnaissance (zone identification)
2. Execution (signal validation)
3. Scaled Dominance (position sizing rules)
Usage Guidelines
1. Initial Setup
Select market bias (Bullish/Bearish) based on higher timeframe analysis
Choose volatility mode matching current market conditions
Set zone transparency (85% recommended for balance)
2. Trading Signals
S1 signals for initial/scout positions
S2 signals for core position building
Combine with pivot line for additional confluence
3. Risk Management
Built-in Fibonacci targets provide profit-taking levels
Adjust position sizing according to the 3-phase plan in the tooltip
Visual Elements
Zones: Colored rectangles (Blue = Demand, Red = Supply)
Pivot Line: Dynamic midline (Green above price = bullish bias, Red below = bearish)
Signals: Label markers (S1/S2) with directional arrows
Targets: Dashed/dotted lines with price labels
This system is designed for traders who understand institutional order flow concepts and want a disciplined approach to trading supply/demand zones without repainting.
False Break Buy & Sell Pattern - Daily✅ I've created a Pine Script for the False Break Buy & Sell Pattern tailored specifically for the daily timeframe.
Key Features:
Detects buy/sell signals using Larry Williams' rules.
Works perfectly on daily candles (Bank Nifty or any other script).
Includes:
Entry markers
Stoploss levels
Alert conditions for both buy and sell setups
Optional follow-through bar confirmation
Obsession.FX - Opens D, W, M, YObsession.FX - Daily Weekly Monthly Yearly Opens
Displays the open levels for the day, week, month, quarter, and year directly on your chart.
Levels can be used as dynamic support/resistance for price action and trading strategies.
You can select which opens to show, customize their colors, and adjust settings for your time zone and session type.
1M/2M Scalping BUY/SELL IndicatorScript Name: CHN BUY SELL v5 — Multi-Timeframe EMA + RSI + Candlestick Patterns
This script is a powerful multi-signal trading tool designed for scalping and trend-based strategies, combining multi-timeframe EMA, RSI-based conditions, and classic candlestick patterns to generate buy/sell signals.
🔧 Key Features:
Multi-Timeframe EMA 200:
Plots the EMA 200 from multiple timeframes (2m, 5m, 10m, 15m) to visualize higher timeframe trends on the current chart.
RSI Analysis:
Calculates RSI using configurable length.
Highlights Overbought and Oversold zones.
Custom bar coloring based on RSI level (e.g., orange when overbought, purple when oversold).
Candlestick Pattern Detection:
Bullish/Bearish Engulfing
Hammer & Shooting Star
Two Consecutive Green or Red Bars
Buy/Sell Signal Logic:
Generates buy/sell labels when RSI aligns with engulfing candle patterns or other configurations.
Optional pattern detection can be enabled/disabled via settings (e.g., hammer signals or two-bar confirmations).
Visuals:
Clear labels and shapes on chart for each signal type.
Multiple EMA lines help identify trend direction across timeframes.
Alerts:
Built-in alert conditions for:
General RSI signal
Buy/Sell signals
Hammer or Shooting Star detections
🧠 How to Use:
Apply this script to a low timeframe chart (e.g., 1m, 2m).
Example : Trade 2M chart - Use EMA 200 at 10M timeframes.
Use the higher timeframe EMA to trade in the direction of the major trend.
Watch for RSI + pattern confluence signals for higher probability entries.
Let me know if you'd like a shorter version or one tailored for publishing to the TradingView public library.
Quantum Core Engine (TechnoBlooms)
✅ Overview
The Quantum Core Engine is a next-gen precision trading indicator that fuses multiple advanced signal systems into one intelligent visual suite. Built on the backbone of the Quantum Concept series, this tool integrates:
Quantum RSI (QRSi)
Wave Function MACD
Quantum Moving Average (QMA)
Entropy Bands
Using trend logic and entropy confirmation, it delivers a clean directional signal system with smart dashboard display and triangle markers for actionable trade confirmation. When all conditions align — momentum, volatility, and trend — a triangle forms below or above the candle, filtering noise and signaling high-conviction moves.
🔍 Key Features
✅ Quantum RSI (QRSi)
A dynamic, decay-weighted momentum oscillator — smoother than standard RSI and more sensitive to trend shifts.
✅ Wave Function MACD
Enhanced with phase energy logic and smoothing, this MACD variant calculates directional strength with rotational precision.
✅ Quantum Moving Average (QMA)
A multi-timeframe, weighted EMA blend that adapts to your chart’s structure, giving deeper insight into trend strength.
✅ Entropy Bands
Advanced bands combining normalized entropy and ATR to highlight compression zones and breakout volatility.
✅ Dashboard Panel
A compact, always-on visual block showing:
QRSi value (green if >50)
MACD histogram (scaled & color-coded)
Entropy % (normalized between recent high/low)
QMA Trend Direction (Bullish or Bearish)
✅ Directional Triangle Signals
When QRSi, MACD, Entropy, and QMA align in trend direction and entropy > 60, a green (bullish) or red (bearish) triangle appears for high-confidence execution.
✅ Optional Bar Coloring
Toggleable bar colors to visually enhance uptrend/downtrend structure.
⚙️ How to Trade with the Dashboard
Monitor Dashboard Values:
QRSi above 50 and rising → positive momentum
MACD Histogram above 0 and increasing → energy expansion
Entropy > 60 → confirms significant volatility context
QMA Trend = Bullish → price above the trendline
Wait for Triangle Signal:
Green triangle below candle = full bullish alignment
Red triangle above candle = full bearish alignment
Entry Strategy:
Enter long after a green triangle appears and price closes above recent resistance or structure
Enter short after a red triangle appears and price breaks below support
Exit & Management:
Use QMA line or Entropy Bands as dynamic stop or trailing levels
Consider exiting if dashboard values diverge (e.g., MACD or QRSi weakens while in trade)
👤 Ideal For
Visual traders seeking clarity and structure
Trend-followers who use multi-timeframe confluence
Algorithmic thinkers preferring signal-driven decisions
Scalpers and swing traders needing quick directional bias
Anyone using advanced price action with volatility filtering
Bitcoin Macro Oscillator | [DeV]The Bitcoin Macro Oscillator (BMO) is a sophisticated fundamental indicator designed to provide a comprehensive view of Bitcoin’s market conditions by combining four key on-chain metrics: the Market Value to Realized Value (MVRV) Ratio, Volume-Weighted Average Price (VWAP) Ratio, Cumulative Value-Days Destroyed (CVDD) Ratio, and Sharpe Ratio. These metrics are individually z-scored and weighted according to user-defined preferences, then averaged to produce a single oscillating value, the BMO Z-score. This helps users identify whether Bitcoin is in a bullish (above zero) or bearish (below zero) phase, offering insights into potential market tops, bottoms, and overall trend strength. Inspired and reverse engineered from the BMO of Woonomics, this indicator is enhanced with a customizable moving average.
Market Value to Realized Value (MVRV) Ratio
The MVRV Ratio compares Bitcoin’s current market capitalization (price multiplied by circulating supply) to its realized capitalization (the value of all coins at the price they were last moved on the blockchain). Calculated as MVRV = Market Cap / Realized Cap, it is then z-scored over a user-defined lookback period (default 120 days). This metric tracks whether Bitcoin is overvalued (high MVRV, suggesting a market top) or undervalued (low MVRV, indicating a potential bottom), providing a gauge of investor profitability and market sentiment.
Volume-Weighted Average Price (VWAP) Ratio
The VWAP Ratio measures Bitcoin’s current price against its volume-weighted average price, which is computed by summing the product of price and volume over a lookback period (default 120 days) and dividing by total volume, with a fallback to the current price if volume is zero. The ratio is z-scored to standardize it. This tracks the relationship between price and the average price paid with volume consideration, helping identify overbought or oversold conditions—high values may signal tops, while low values suggest bottoms.
Cumulative Value-Days Destroyed (CVDD) Ratio
The CVDD Ratio is based on the CVDD metric, which estimates the total value of Bitcoin that has been “destroyed” (spent at a loss) over time, approximated here using a longer-term simple moving average (SMA) of the price over twice the lookback period. The ratio is calculated as the current price divided by this CVDD price, then z-scored. It tracks the accumulation of value destruction, with low values indicating bearish exhaustion and high values suggesting bullish momentum.
Sharpe Ratio
The Sharpe Ratio assesses Bitcoin’s risk-adjusted return by comparing the average return (calculated as the natural log of the price change) to its volatility (standard deviation of returns) over a user-defined Sharpe lookback period (default 180 days). If volatility is zero, it defaults to zero to avoid errors. This z-scored value tracks whether Bitcoin’s price movements offer a favorable return for the risk taken—positive values indicate good risk-adjusted performance, while negative values suggest caution.
Together, the MVRV, VWAP, CVDD, and Sharpe Ratio metrics provide a multi-faceted view of Bitcoin’s market health, with each contributing unique insights into valuation, volume, value destruction, and risk-adjusted performance. Their weighted combination into the BMO Z-score balances these inputs to offer a unified signal, enhanced by a customizable moving average (default 90-period EMA) that smooths the Z-score for trend confirmation—rising when bullish, falling when bearish. Credit to Woonomics for inspiring this robust framework, which adapts their BMO concept into a flexible, user-tailored tool.
Stage Cycle AnalysisStage Cycle Analysis — Stage 1 to 4
This indicator visualizes the four stages of price cycles inspired by Stan Weinstein's Stage Analysis, helping traders identify where a stock is in its broader trend cycle.
🚦Stage Logic Breakdown:
Stage 1: Basing
Price is above 50/150/200 SMAs.
SMAs are flat or not sloping up.
Indicates accumulation before a potential uptrend.
Stage 2: Uptrend
Price remains above all SMAs.
All SMAs are sloping up.
Confirms trend strength and momentum.
Stage 3: Distribution
Price still above long-term SMAs (150/200).
All SMAs flatten out.
Often seen near tops — suggests weakening trend.
Stage 4: Downtrend
Price is below all SMAs.
All SMAs sloping down.
Confirms bearish momentum.
📌 Features:
Automatically detects and labels each stage on the chart.
Labels show only on transition, keeping the chart clean.
Uses SMA 50, 150, and 200 as trend filters.
Works across all timeframes (optimized for daily and weekly).
🎯 How to Use:
Combine with volume and support/resistance analysis.
Use Stage 2 entries for momentum trades.
Avoid Stage 3/4 for long positions.
Stage 1 can be useful for spotting early accumulations.
Built for clarity and simplicity, this tool helps traders visually map the stage cycle with minimal noise.
TWAP/VWAP AUTO SHIFTER Bands🟢 TWAP/VWAP AUTO SHIFTER Bands – NinjaTrader Logic + Dynamic Deviation Zones
📌 Overview
This powerful tool combines institution-grade price anchoring (VWAP/TWAP) with adaptive volatility bands and smart zone visualization. The core innovation: a toggleable VWAP logic engine, letting traders switch between:
* 🧠 Standard TradingView VWAP/TWAP
* 🧠 Custom NinjaTrader-style VWAP logic (faithfully ported for Pine Script 6)
Use it to visualize where price is anchored, where trend turns, and where hidden liquidity or mean-reversion zones may be forming.
🎯 What This Script Does
This indicator plots:
1. A central VWAP/TWAP line, anchored to -any timeframe or custom period-
2. Karma trend line using adaptive volatility envelopes
3. Dynamic bands that react to price range, volatility, and momentum
4. Optional range-based zones using Fibonacci-like ratios for structure detection
5. A visual "hidden fill" shading system to highlight bullish or bearish control
🚀 Unique Features
🧮 1. NinjaTrader VWAP Logic (Optional)
When enabled, this mode replaces TradingView’s default VWAP with a custom weighted average based on:
mean = average of ((high + low) and (open + close))
VWAP = sum(mean × volume) / sum(volume)
✔ Gives more stable center in volatile conditions
✔ Matches many institutional VWAP tools
Use the toggle:
☑️ “Use NinjaTrader VWAP Formula”
To activate this precision logic.
🕰 2. Anchor VWAP/TWAP to Any Timeframe
Choose your VWAP anchor from:
* D = Daily
* W = Weekly
* M = Monthly
* Or define your **own custom timeframe** (e.g., “240” or “15”)
This makes it:
⏳ Perfect for day traders anchoring intraday
🧭 Valuable for swing traders observing weekly bias
🧱 Solid for long-term positioning
📊 3. Karma Deviation Line (Trend Pulse)
The Karma line uses an adaptive efficiency ratio + fast/slow deviation logic to track momentum shifts.
* When it crosses above VWAP: possible bullish control
* When it falls below: possible reversion risk
It uses smoothed deviation bands to filter noise.
🎨 4. Hidden Fills & Range Bands
Zone shading makes this one of the most visual VWAP bands indicators out there:
* Red shade = aggressive push above VWAP
* Green shade = price collapsing under VWAP
* White “internal channel” = tight inner value zone
* Purple/gray bands = map structural levels for profit-taking, fading, or breakout watch
🧠 How to Use It
🧩 VWAP Anchoring
* Set timeframe to match your strategy horizon
* Use custom anchor (like 15m, 2h) to match intraday setups
🧠 Ninja Logic
* Enable to use VWAP matching NinjaTrader and institutional backends
* Recommended for high-volume or low-liquidity instruments
📈 Karma Bands
* Look for Karma line breaking VWAP from below → early trend
* Look for Karma curling down inside green zone → mean reversion
📐 Range Zones
* Use shaded fills to visualize exhaustion
* Watch for clean bounces off internal ratios
⚙️Recommended Settings
| Style | Setting |
| -------------------------------| ------------------------------------ |
| VWAP Mode | NinjaLogic ON (for precise behavior) |
| Anchor TF | Daily (or custom intraday like 30m) |
| Deviation | Fast: 50, Slow: 200 |
| Show Range Marks | ON |
| Hidden Zones | ON (for visual clarity) |
🧪 Tested On:
* BTC/ETH/USD
* Nifty Futures
* NASDAQ Stocks
* SPY/QQQ
* Crude Oil and Metals
📝 Author’s Note
Remember that this is an educational idea and past performance is not assurance of future performance.
🟢 Happy Anchoring!
Momentum Flow Matrix — VWAP × RSI × ADX × Volume🧠 Momentum Flow Matrix — VWAP × RSI × ADX × Volume
📌 OVERVIEW
The Momentum Flow Matrix is a compact yet powerful multi-factor market diagnosis tool.
It combines institutional-grade price anchoring (VWAP) with momentum and volume analytics (RSI, ADX, volume spikes) and displays the result as a clean dashboard widget on your chart.
You’ll instantly know:
1. Where price is anchored
2. Whether momentum is building or fading
3. Whether volume is supporting the move
4. Whether it’s a high-probability continuation or a risk of mean reversion
🚀 FEATURES
✅ 1. NinjaTrader VWAP Logic (Optional Toggle)
The VWAP calculation can be switched between:
📊 TradingView's native ta.vwap
🧠 Custom NinjaTrader-style VWAP, based on:
VWAP = sum( ((open+close)/2 + (high+low)/2)/2 × volume ) / sum(volume)
This more nuanced formula better reflects institutional execution levels.
⏰ 2. Anchor VWAP to Any Timeframe
Choose your VWAP anchor period from:
Daily, Weekly, Monthly
Intraday (e.g. 60-min, 240-min)
Custom (e.g. 15-min for scalpers)
This makes FlowM suitable for all timeframes and trading styles.
📉 3. RSI Monitoring with Color Zones
Dynamically highlights overbought/oversold conditions
Color-coded (red, green, gray) in the matrix
Can be used alone or combined with other signals
📈 4. ADX & DI Trend Strength Detection
Computes trend strength (ADX) and direction (DI+, DI–)
Classifies price action as:
✅ Bullish trend
🔴 Bearish trend
⚫ Neutral/no trend
🔥 5. Volume Spike Pulse
Flags when current volume exceeds historical average
Helps identify breakouts, panic dumps, or institutional interest
🧮 6. Momentum Score (0–100%)
A weighted combination of all components to produce a single momentum health score:
RSI state
ADX strength
Directional bias (DI)
Volume strength
Color-coded in real time:
🟢 Above 60%: Bullish bias
🔴 Below 40%: Bearish bias
⚪ Between: Neutral / Transition
🧑🏫 HOW TO TRADE WITH IT
📌 Setup Example 1 — Trend Continuation
VWAP rising (anchored to 1H or Daily)
RSI in the 50–60 range (not OB yet)
ADX > 25, DI+ > DI–
Volume spike present
✅ Matrix score > 70%
🟢 Trade idea: Long breakout entry with tight stop just under VWAP
📌 Setup Example 2 — Mean Reversion
Price above VWAP but RSI > 70
ADX < 20
Momentum % < 45%
Vol spike recently happened and faded
🔴 Trade idea: Short pullback into VWAP or fade extreme extension
📌 Setup Example 3 — Reversal Emerging
VWAP flat or down, but price just reclaimed it
RSI rising from oversold
ADX < 25 but DI+ crossing over DI–
Volume starting to rise
⚪ Trade idea: Early entry before full trend confirmation
🖼 VISUAL OUTPUT (Widget Example)
────────────────────────────
- Signal Value
────────────────────────────
- VWAP 45123.75
- RSI 61.2 🔴
- ADX 27.4 🟢 Bull
- Vol Spike 🔥 Yes
- Momentum % 75% 🟢
─────────────────────────────
✅ Positioned in the top-right of your chart
✅ Non-intrusive, always-on, highly visual
⚙️ CUSTOMIZATION OPTIONS
VWAP formula (Ninja vs TV)
Anchor timeframe
RSI, ADX lengths
Volume spike threshold
Toggle widget on/off
Clean and fast performance (optimized for Pine v6)
🧪 Best Use Cases
Intraday scalping (15m VWAP + short RSI/ADX)
Trend confirmation for swing entries (1H–4H anchors)
Momentum scoring for options traders
Exit management when scores begin to fade
🎁 Final Notes
FlowM was built to be intelligent, visually elegant, and truly multidimensional.
Whether you're a scalper, swing trader, or algo developer — this matrix simplifies complex conditions into clean, actionable insight.
👉 Try adding FlowM to your existing chart templates.
👉 Combine it with order flow or liquidity zones for maximum edge.
Please note that this is an educational idea and past performance may not be replicable in the future.
Swing Breakout + Next Possible Linepivot points breakout live analysis
price action easy to read no mess
Money NoodleMoney Noodle Indicator - How It Works
The Money Noodle indicator is a trend-following and support/resistance tool that combines multiple exponential moving averages (EMAs) with dynamic volatility-based bands to create a comprehensive trading system.
Core Components
1. Triple EMA System ("The Noodles")
Fast EMA (12): Most responsive to price changes, shows short-term momentum
Medium EMA (21): Intermediate trend direction
Slow EMA (35): Main trend line that acts as the central reference point
The "noodle" effect comes from how these three EMAs weave around each other and the price action, creating curved, flowing lines that resemble noodles.
2. Dynamic Volatility Bands
Upper Band: Main EMA + (ATR × Band Multiplier)
Lower Band: Main EMA - (ATR × Band Multiplier)
Uses a 20-period ATR (Average True Range) to measure market volatility
Band width automatically adjusts - wider during volatile periods, tighter during consolidation
How It Functions
Trend Identification:
When all three EMAs are aligned (fast > medium > slow), it indicates a strong uptrend
When EMAs are inverted (fast < medium < slow), it signals a downtrend
EMA crossovers provide early trend change signals
Support & Resistance:
The bands act as dynamic support and resistance levels
Price tends to bounce off the bands during trending markets
Band breaks often signal strong momentum moves or trend changes
Volatility Assessment:
Band width indicates market volatility - wider bands = higher volatility
ATR-based calculation makes the bands adaptive to current market conditions
The 0.0125 multiplier provides optimal sensitivity for most timeframes
Trading Applications
Entry Signals:
Buy when price bounces off the lower band with EMA alignment
Sell when price bounces off the upper band against the trend
Breakout trades when price decisively breaks through bands
Trend Following:
Use the main EMA (35) as your trend filter
Trade in the direction of EMA alignment
The "noodles" help identify trend strength - tighter = stronger trend
Risk Management:
Bands provide natural stop-loss levels
Band width helps size positions (wider bands = smaller size due to higher volatility)
The indicator works best on daily timeframes and provides a visual, intuitive way to read market structure, trend direction, and volatility all in one tool.
