FusionFlow Pro – Trend & Regime🌀 FusionFlow Pro — Trend & Regime
Introduction
FusionFlow Pro is a visual trend-and-regime map designed for traders who prefer clarity over noise.
It blends multiple concepts—trend direction, volatility, volume behavior, higher-timeframe bias, and a smooth neon-gradient ribbon—into a single, readable structure.
This tool was built over many revisions and experiments, and it’s offered freely for the community. The goal is simple: provide a clean way to understand market context without overwhelming the chart.
About the Indicator
FusionFlow Pro combines several market components into one display:
• Trend Engine
Two adaptive moving averages form the core directional structure. Their separation, strength, and interaction define whether the market is leaning bullish, bearish, or neutral.
• Regime Classifier
The script can interpret either ADX or Choppiness Index to determine whether conditions favor trending behavior or range-bound phases.
• Volume & Momentum Influence
Volume expansion and short-term momentum add additional context, helping highlight when market participation is rising or cooling.
• Higher-Timeframe Bias (HTF)
The option to reference a larger timeframe gives users a broader directional backdrop while still trading on their preferred interval.
• Neon Ribbon Visualization
The slow MA forms the backbone of a multi-gradient, distance-based ribbon.
When price hugs the ribbon, the fill becomes subtle and transparent; as price moves away, the ribbon becomes more visible.
This creates an intuitive sense of distance, pressure, and trend engagement.
• HUD Panel
A compact top-right panel summarizes the current trend state, regime, volume condition, HTF bias, and most recent event.
It acts as a quick reference so the chart stays readable even at fast timeframes.
Color Interpretation
FusionFlow Pro uses color to convey structure at a glance:
Ribbon Line:
• Uptrend: green-cyan tone
• Downtrend: soft red-magenta tone
• Neutral: cool gray-blue
Ribbon Fill:
A neon gradient cycles from lime → aqua → blue → violet → soft red.
The specific color is determined by the slow MA’s position inside a 50-bar normalization window.
Opacity Behavior:
• Near the ribbon: color is more pronounced
• Approaching the candles: the fill fades smoothly
• At the extremes: almost fully transparent
This tapered fade is intentional—it helps the shape remain visible without overwhelming the candles underneath.
HUD Colors:
Each HUD value shifts based on conditions—bullish, bearish, neutral, trending, choppy, strong volume, etc.—making it easy to read with peripheral vision.
Settings & Customization
FusionFlow Pro allows users to customize its behavior without assuming any specific market or style.
Different symbols—indices, crypto, commodities, forex, individual stocks—can have very different volatility and rhythm. Because of that, many traders tweak the MA lengths, ATR multiplier, volume factor, and regime settings depending on the symbol or timeframe they prefer.
Shorter lengths generally create a more reactive environment; longer lengths smooth out noise. ATR buffer and volume requirements can be increased or reduced depending on how tightly or loosely the user wants FusionFlow Pro to respond.
Instead of prescribing “best settings,” FusionFlow Pro stays neutral and flexible.
Experimenting with adjustments is part of the workflow, and finding a comfortable configuration is encouraged.
Disclaimer
This script is published purely for chart visualization and educational use.
It does not provide financial advice, does not guarantee outcomes, and should not be used as a sole basis for trading decisions.
Users remain responsible for their own analysis and risk management.
Chỉ báo và chiến lược
Jiangnan_BTC_Compare将个别虚拟币走势与BTC的走势进行比较。打开个别币的K线,添加在下方的panel里添加本指标即可。Compare the price movement of individual cryptocurrencies with that of BTC.
Open the candlestick chart of the selected coin and simply add this indicator in the lower panel.
RSI Forecast Colorful [DiFlip]RSI Forecast Colorful
Introducing one of the most complete RSI indicators available — a highly customizable analytical tool that integrates advanced prediction capabilities. RSI Forecast Colorful is an evolution of the classic RSI, designed to anticipate potential future RSI movements using linear regression. Instead of simply reacting to historical data, this indicator provides a statistical projection of the RSI’s future behavior, offering a forward-looking view of market conditions.
⯁ Real-Time RSI Forecasting
For the first time, a public RSI indicator integrates linear regression (least squares method) to forecast the RSI’s future behavior. This innovative approach allows traders to anticipate market movements based on historical trends. By applying Linear Regression to the RSI, the indicator displays a projected trendline n periods ahead, helping traders make more informed buy or sell decisions.
⯁ Highly Customizable
The indicator is fully adaptable to any trading style. Dozens of parameters can be optimized to match your system. All 28 long and short entry conditions are selectable and configurable, allowing the construction of quantitative, statistical, and automated trading models. Full control over signals ensures precise alignment with your strategy.
⯁ Innovative and Science-Based
This is the first public RSI indicator to apply least-squares predictive modeling to RSI calculations. Technically, it incorporates machine-learning logic into a classic indicator. Using Linear Regression embeds strong statistical foundations into RSI forecasting, making this tool especially valuable for traders seeking quantitative and analytical advantages.
⯁ Scientific Foundation: Linear Regression
Linear regression is a fundamental statistical method that models the relationship between a dependent variable y and one or more independent variables x. The general formula for simple linear regression is:
y = β₀ + β₁x + ε
where:
y = predicted variable (e.g., future RSI value)
x = explanatory variable (e.g., bar index or time)
β₀ = intercept (value of y when x = 0)
β₁ = slope (rate of change of y relative to x)
ε = random error term
The goal is to estimate β₀ and β₁ by minimizing the sum of squared errors. This is achieved using the least squares method, ensuring the best linear fit to historical data. Once the coefficients are calculated, the model extends the regression line forward, generating the RSI projection based on recent trends.
⯁ Least Squares Estimation
To minimize the error between predicted and observed values, we use the formulas:
β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²)
β₀ = ȳ - β₁x̄
Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables.
⯁ Linear Regression in Machine Learning
Linear regression is a foundational component of supervised learning. Its simplicity and precision in numerical prediction make it essential in AI, predictive algorithms, and time-series forecasting. Applying regression to RSI is akin to embedding artificial intelligence inside a classic indicator, adding a new analytical dimension.
⯁ Visual Interpretation
Imagine a time series of RSI values like this:
Time →
RSI →
The regression line smooths these historical values and projects itself n periods forward, creating a predictive trajectory. This projected RSI line can cross the actual RSI, generating sophisticated entry and exit signals. In summary, the RSI Forecast Colorful indicator provides both the current RSI and the forecasted RSI, allowing comparison between past and future trend behavior.
⯁ Summary of Scientific Concepts Used
Linear Regression: Models relationships between variables using a straight line.
Least Squares: Minimizes squared prediction errors for optimal fit.
Time-Series Forecasting: Predicts future values from historical patterns.
Supervised Learning: Predictive modeling based on known output values.
Statistical Smoothing: Reduces noise to highlight underlying trends.
⯁ Why This Indicator Is Revolutionary
Scientifically grounded: Built on statistical and mathematical theory.
First of its kind: The first public RSI with least-squares predictive modeling.
Intelligent: Incorporates machine-learning logic into RSI interpretation.
Forward-looking: Generates predictive, not just reactive, signals.
Customizable: Exceptionally flexible for any strategic framework.
⯁ Conclusion
By combining RSI and linear regression, the RSI Forecast Colorful allows traders to predict market momentum rather than simply follow it. It's not just another indicator: it's a scientific advancement in technical analysis technology. Offering 28 configurable entry conditions and advanced signals, this open-source indicator paves the way for innovative quantitative systems.
⯁ Example of simple linear regression with one independent variable
This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables.
⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x)
This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component.
⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab
Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models.
⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted
This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model.
⯁ Result of fitting a set of data points with a quadratic function
This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line.
⯁ What Is RSI?
The RSI (Relative Strength Index) is a technical indicator developed by J. Welles Wilder. It measures the velocity and magnitude of recent price movements to identify overbought and oversold conditions. The RSI ranges from 0 to 100 and is commonly used to identify potential reversals and evaluate trend strength.
⯁ How RSI Works
RSI is calculated from average gains and losses over a set period (commonly 14 bars) and plotted on a 0–100 scale. It consists of three key zones:
Overbought: RSI above 70 may signal an overbought market.
Oversold: RSI below 30 may signal an oversold market.
Neutral Zone: RSI between 30 and 70, indicating no extreme condition.
These zones help identify potential price reversals and confirm trend strength.
⯁ Entry Conditions
All conditions below are fully customizable and allow detailed control over entry signal creation.
📈 BUY
🧲 Signal Validity: Signal remains valid for X bars.
🧲 Signal Logic: Configurable using AND or OR.
🧲 RSI > Upper
🧲 RSI < Upper
🧲 RSI > Lower
🧲 RSI < Lower
🧲 RSI > Middle
🧲 RSI < Middle
🧲 RSI > MA
🧲 RSI < MA
🧲 MA > Upper
🧲 MA < Upper
🧲 MA > Lower
🧲 MA < Lower
🧲 RSI (Crossover) Upper
🧲 RSI (Crossunder) Upper
🧲 RSI (Crossover) Lower
🧲 RSI (Crossunder) Lower
🧲 RSI (Crossover) Middle
🧲 RSI (Crossunder) Middle
🧲 RSI (Crossover) MA
🧲 RSI (Crossunder) MA
🧲 MA (Crossover)Upper
🧲 MA (Crossunder)Upper
🧲 MA (Crossover) Lower
🧲 MA (Crossunder) Lower
🧲 RSI Bullish Divergence
🧲 RSI Bearish Divergence
🔮 RSI (Crossover) Forecast MA
🔮 RSI (Crossunder) Forecast MA
📉 SELL
🧲 Signal Validity: Signal remains valid for X bars.
🧲 Signal Logic: Configurable using AND or OR.
🧲 RSI > Upper
🧲 RSI < Upper
🧲 RSI > Lower
🧲 RSI < Lower
🧲 RSI > Middle
🧲 RSI < Middle
🧲 RSI > MA
🧲 RSI < MA
🧲 MA > Upper
🧲 MA < Upper
🧲 MA > Lower
🧲 MA < Lower
🧲 RSI (Crossover) Upper
🧲 RSI (Crossunder) Upper
🧲 RSI (Crossover) Lower
🧲 RSI (Crossunder) Lower
🧲 RSI (Crossover) Middle
🧲 RSI (Crossunder) Middle
🧲 RSI (Crossover) MA
🧲 RSI (Crossunder) MA
🧲 MA (Crossover)Upper
🧲 MA (Crossunder)Upper
🧲 MA (Crossover) Lower
🧲 MA (Crossunder) Lower
🧲 RSI Bullish Divergence
🧲 RSI Bearish Divergence
🔮 RSI (Crossover) Forecast MA
🔮 RSI (Crossunder) Forecast MA
🤖 Automation
All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies.
⯁ Unique Features
Linear Regression Forecast
Signal Validity: Keep signals active for X bars
Signal Logic: AND/OR configuration
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Chart Labels: BUY/SELL markers above price
Automation & Alerts: BUY/SELL
Background Colors: bgcolor
Fill Colors: fill
Linear Regression Forecast
Signal Validity: Keep signals active for X bars
Signal Logic: AND/OR configuration
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Chart Labels: BUY/SELL markers above price
Automation & Alerts: BUY/SELL
Background Colors: bgcolor
Fill Colors: fill
🔹 Williams %R x2🔹 Williams %R x2 — Dual Williams %R Oscillator (MTF)
Williams %R x2 is an enhanced version of the classic Williams Percent Range indicator, allowing you to display two independent %R lines with separate parameters and multi-timeframe (MTF) support.
This tool is ideal for precise entry timing, spotting reversals, identifying extreme zones, and confirming momentum shifts.
✨ Indicator Features
1. Two Independent Williams %R Inputs
Separate period settings
Individual price sources
Custom line colors
Configurable overbought/oversold levels
Ability to enable or disable each oscillator independently
2. Multi-Timeframe (MTF) Mode
Each %R can be calculated on:
the current chart timeframe
or any higher/lower timeframe selected by the user (from M1 to MN)
This allows flexible combinations such as:
local %R for entries
higher-timeframe %R for trend filtering
3. Built-in Levels
OB/OS levels for each oscillator
Central midpoint level at −50
Fully customizable level colors
🎯 Use Cases
Detecting short-term reversals
Assessing momentum and timing entries
Applying SMC/ICT confirmation models
Filtering signals with higher-timeframe structure
Identifying extreme price conditions
🛠️ Technical Details
Fully compatible with Pine Script® v6
No repainting
Clean and minimal oscillator without unnecessary elements
Quantum SniperThis is a proprietary custom trend-following strategy designed for internal use by the Quantum Sniper trading firm. It utilizes momentum calculations and trend following logic to identify market entries. Access is restricted to authorized personnel only.
Multi-TF Flexible Triple MA + Envelope🔷 Main Features
1. Three Moving Averages (MA1, MA2, MA3)
Fully customizable types: SMA, EMA, WMA, VWMA, TEMA
Individual period and price source for each MA
Optional multi-timeframe (MTF) calculation
This allows you to build a flexible trend structure with local, medium-term, and higher-timeframe layers.
2. Envelope Based on MA3
The indicator includes an Envelope channel (upper and lower bands) derived from MA3.
Features:
Adjustable deviation in percentage
Enable/disable the channel
Optional fill between bands
Dotted line style mode
The Envelope helps visualize:
Overbought/oversold zones relative to trend
Volatility expansion and contraction
Dynamic support/resistance bounces
3. MA1–MA2 Crossover Signals
The indicator plots visual markers for crossover events:
🔺 MA1 crossing above MA2 — potential bullish impulse
🔻 MA1 crossing below MA2 — early warning of trend weakness or reversal
These signals can be used for entries, trend filtering, or confirmation of directional movement.
🎯 Why Use This Indicator
This tool combines several analytical approaches:
Dynamic trend levels (MAs)
Volatility structure through the Envelope
Multi-timeframe analysis
Clear visual crossover signals
It works well for:
Trend-following entry zones
Trading from Envelope boundaries
Identifying market expansion/compression
Filtering trend direction across multiple timeframes
Both intraday and swing trading
Risk Manager Pro – Position Size CalculatorDescription (설명문)
ENGLISH DESCRIPTION (required)
Risk Manager Pro is a professional-grade risk and position management tool designed for crypto traders who need precise control over position sizing, TP/SL targets, and partial take-profit scenarios.
Simply enter your desired Risk ($), Entry, TP, and SL, and the script automatically calculates:
Position size (Qty)
Position value ($)
Full take-profit profit
Risk/Reward ratio (R:R)
Partial TP1 & TP2 profits (optional)
Combined partial profit
Auto-adjusted decimal precision based on each symbol’s syminfo.mintick
This indicator also dynamically builds a clean table on the chart, showing only the values relevant to your setup (TP1/TP2 rows appear only when used).
Works for both long and short trades, and supports any symbol (BTC, altcoins, futures, spot, etc.)
Features
Automatic position size calculation based on Risk$
Auto TP/SL → Profit/R:R calculation
Partial Take-Profit (TP1 / TP2) with percentage control
Auto decimal formatting using format.mintick
Works on all symbols: BTC / alt / futures / spot
Clean dynamic table (no empty rows)
Perfect for traders who use position sizing and risk-based entries
🇰🇷 한국어 설명 (선택 사항)
Risk Manager Pro는 트레이더가 가장 많이 사용하는 핵심 기능들을 통합한
프로페셔널 리스크 관리 도구입니다.
리스크 금액(Risk$), 진입가(Entry), 익절(TP), 손절(SL)을 입력하면
자동으로 다음 값이 계산됩니다:
포지션 수량(코인)
포지션 크기($)
전체 익절 시 수익
손익비(R:R)
부분익절(TP1 / TP2) 수익
부분익절 합계
종목별 소수점 자리 자동 최적화(syminfo.mintick 기반)
TP1/TP2가 입력된 경우에만 해당 줄이 표시되어
표가 깔끔하게 유지됩니다.
비트코인/알트/선물/현물 모두 지원합니다.
rahulpatkiIt is a 15-min high-low for the day; this will help the fellow chartist understand a trend emerging for the day. This indicator, along with others, provides a general idea of the daily trend, but it is not the only one to consider.
Zonas de Liquidez Pro + Puntos de GiroRequirements for marking 💧:✅ High crosses the zone✅ Close returns inside (false breakout / fakeout)✅ Volume is 20% greater than the average✅ Occurs within the last 10 bars(Note: This last requirement is stated in the text but not explicitly in the code snippet provided)📚 Psychology Behind the SweepWho lost money?Traders with stops placed too tightlyBuyers who entered "on the breakout"Bots with automatic orders placed aboveWho made money?Smart Money / InstitutionsThey sold at a high priceThey hunted for liquidity before moving the priceThey know where retail stops are located🎯 How to Use the Drops in Your TradingGolden Rule:💧 near a strong zone + Multiple rejections = PROBABLE REVERSALStrategy:See 💧 at resistance → Look for SHORTSee 💧 at support → Look for LONGPrice returns to the swept zone → High-probability setupStop beyond the sweep high/low → ProtectionPractical Example:If you see 💧 LIQ at $111,263 (resistance)→ Wait for bearish rejection→ Entry: Sell at $110,800→ Stop: $111,500 (above the sweep high)→ Target: Next support level⚠️ Common Mistakes❌ Mistake 1: Trading the breakoutPrice breaks $111k → "It's going to the moon!" → Buy💧 LIQ appears → It was a trap → Drop → Loss✅ Correct Approach:Price breaks $111k → Check if there is 💧 LIQ💧 appears → "It's a trap" → Wait for rejection → Sell❌ Mistake 2: Ignoring the volumeNot all sweeps are equal.Sweeps with high volume are more reliable.No volume = it could be noise.🎓 Ultra-Fast SummaryElementMeaning💧 LIQLiquidity sweep detectedAt ResistanceBullish trap → Prepare for a shortAt SupportBearish trap → Prepare for a longWith High VolumeMore reliable signalNear Strong Zone High probability of reversal🔥 The Magic of Your IndicatorScenarioWithout this IndicatorWith this IndicatorAction"The price broke $111k, I'm buying!""There is 💧 LIQ + zone + rejections → It's a trap."ResultYou loseYou avoid a loss or gain on the short
crab波动区间根据4W\1D\1W数据波动显示当前压力和支撑位
Display current support and resistance levels based on 4W, 1W, and 1D data volatility.
APEX TREND: Macro & Hard Stop SystemAPEX TREND: Macro & Hard Stop System
The APEX TREND System is a composite trend-following strategy engineered to solve the "Whipsaw" problem inherent in standard breakout systems. It orchestrates four distinct technical theories—Macro Trend Filtering, Volatility Squeeze, Momentum, and Volatility Stop-Loss—into a single, hierarchical decision-making engine.
This script is not merely a collection of indicators; it is a rules-based trading system designed for Swing Traders (Day/Week timeframes) who aim to capture major trend extensions while strictly managing downside risk through a "Hard Stop" mechanism.
🧠 Underlying Concepts & Originality
Many trend indicators fail because they treat all price movements equally. The APEX TREND differentiates itself by applying an "Institutional Filter" logic derived from classic Dow Theory and Modern Volatility Analysis.
1. The Macro Hard Stop (The 200 EMA Logic)
Origin: Based on the institutional mandate that “Nothing good happens below the 200-day moving average.”
Function: Unlike standard super trends that flip constantly in sideways markets, this system integrates a 200-period Exponential Moving Average (EMA) as a non-negotiable "Hard Stop."
Synergy: This acts as the primary gatekeeper. Even if the volatility engine signals a "Buy," the system suppresses the signal if the price is below the Macro Baseline, effectively filtering out counter-trend traps.
2. The Volatility Engine (Squeeze Theory)
Origin: Derived from John Carter’s TTM Squeeze concept.
Function: The script identifies periods where Bollinger Bands (Standard Deviation) contract inside Keltner Channels (ATR). This indicates a period of potential energy build-up.
Synergy: The system only triggers an entry when this energy is released (Breakout) AND coincides with Linear Regression Momentum, ensuring the breakout is genuine.
3. Anti-Chop Filter (ADX Integration)
Origin: J. Welles Wilder’s Directional Movement Theory.
Function: A common failure point for trend systems is low-volatility chop. This script utilizes the Average Directional Index (ADX).
Synergy: If the ADX is below the threshold (Default: 20), the market is deemed "Choppy." The script visually represents this by painting candles GRAY, signaling a "No-Trade Zone" regardless of price action.
4. The "Run Trend" Stop Loss (Factor 4.0 ATR)
Origin: Adapted from the Turtle Trading rules regarding volatility-based stops.
Function: Standard Trailing Stops (usually Factor 3.0) are too tight for crypto or volatile equities on daily timeframes.
Optimization: This system employs a wider ATR Multiplier of 4.0. This allows the asset to fluctuate naturally within a trend without triggering a premature exit, maximizing the "Run Trend" potential.
🛠 How It Works (The Algorithm)
The script processes data in a specific order to generate a signal:
Check Macro Trend: Is Price > EMA 200? (If No, Longs are disabled).
Check Volatility: Is ADX > 20? (If No, all signals are disabled).
Check Volume: Is Current Volume > 1.2x Average Volume? (Confirmation of institutional participation).
Trigger: Has a Volatility Breakout occurred in the direction of the Macro Trend?
Execution: If ALL above are true -> Generate Signal.
🎯 Strategy Guide
1. Long Setup (Bullish)
Signal: Look for the Green "APEX LONG" Label.
Condition: The price must be ABOVE the White Line (EMA 200).
Execution: Enter at the close of the signal candle.
Stop Loss: Initial stop at the Green Trailing Line.
2. Short Setup (Bearish)
Signal: Look for the Red "APEX SHORT" Label.
Condition: The price must be BELOW the White Line (EMA 200).
Execution: Enter at the close of the signal candle.
Stop Loss: Initial stop at the Red Trailing Line.
3. Exit Rules (Crucial)
This system employs a Dual-Exit Mechanism:
Soft Exit (Profit Taking): Close the position if the price crosses the Trailing Stop Line (Green/Red line). This locks in profits during a trend reversal.
Hard Exit (Emergency): Close the position IMMEDIATELY if the price crosses the White EMA 200 Line against your trade. This prevents holding a position during a major market regime change.
⚙️ Settings
Momentum Engine: Adjust Bollinger Band/Keltner Channel lengths to tune breakout sensitivity.
Apex Filters: Toggle the EMA 200 or ADX filters on/off to adapt to different asset classes.
Risk Management: The ATR Multiplier (Default 4.0) controls the width of the trailing stop. Lower values = Tighter stops (Scalping); Higher values = Looser stops (Swing).
Disclaimer: This script is designed for trend-following on higher timeframes (4H, 1D, 1W). Please backtest on your specific asset before live trading.
Thuận-Pro Full OptionThe Ultimate Price Action & Momentum System
1. OVERVIEW
Thuận-Pro Final is an all-in-one trading system designed for precision and safety. It combines Market Structure, Supply/Demand Zones, and Momentum Confluence to identify high-probability trade setups.
2. VISUAL FEATURES
Green Boxes (Support Zones): Strong buying areas.
Red Boxes (Resistance Zones): Strong selling areas.
"BUY" / "SELL" Labels: Instant signals generated when price tests a zone and confirms a rejection.
Purple Lines (Fibonacci Targets): Auto-generated profit targets (1.272, 1.618, 2.618) when price breaks the All-Time High (Blue Sky mode).
Bottom Pane:
RSI + MACD: Color-coded trend strength.
Volume + Yellow Line: Real-time volume analysis
3. HOW TO TRADE (STRATEGY)
🟢 BUY SIGNAL (Long Setup)
Zone: Price drops into a Green Box (Support).
Reaction: Price touches the zone but CLOSES inside or above the box bottom (Valid Rejection/Spring).
Confirmation: A green "BUY" label appears below the candle.
Momentum (Optional): RSI is Oversold (≤ 35) and Volume bar is above the Yellow Line.
🔴 SELL SIGNAL (Short Setup)
Zone: Price rallies into a Red Box (Resistance).
Reaction: Price touches the zone but CLOSES inside or below the box top (Valid Rejection/Upthrust).
Confirmation: A red "SELL" label appears above the candle.
Momentum (Optional): RSI is Overbought (≥ 65) and Volume bar is above the Yellow Line.
4. SMART ALERTS
Set up alerts in TradingView to never miss a move:
Touch Support: Triggered when price tests a Green Zone.
Touch Resistance: Triggered when price tests a Red Zone.
Break High: Trend Reversal (Bearish ➔ Bullish).
Break Low: Trend Reversal (Bullish ➔ Bearish).
5. PRO TIPS
Safe Entry: The indicator filters out "Knife Catching." If a candle closes outside the box (breaking the zone), the signal will NOT appear.
Profit Taking: Use the Purple Fibonacci Lines (1.618) as your primary target when the market breaks new highs.
Stop Loss: Place SL slightly below the Green Box (for Buy) or above the Red Box (for Sell).
Developed by: Nguyen Duc Thuan
rahulpatkiIt is a 15-min high-low for the day; this will help the fellow chartist understand a trend emerging for the day. This indicator, along with others, provides a general idea of the daily trend, but it is not the only one to consider.
Symmetrical Geometric MandalaSymmetrical Geometric Mandala
Overview
The Symmetrical Geometric Mandala is an advanced geometric trading tool that applies phi (φ) harmonic relationships to price-time analysis. This indicator automatically detects swing ranges and constructs a scale-invariant geometric framework based on the square root of phi (√φ), revealing natural support/resistance zones and harmonic price-time balance points.
Core Concept
Traditional technical analysis often treats price and time as separate dimensions. This indicator harmonizes them using the mathematical constant √φ (approximately 1.272), creating a geometric "squaring" of price and time that remains proportionally consistent across different chart scales.
The Mathematics
When you select a price range (from swing low to swing high or vice versa), the indicator calculates:
PBR (Price-to-Bar Ratio) = Range / Number of Bars
Harmonic PBR = PBR × √φ (1.272019649514069)
Phi Extension = Range × φ (1.618033988749895)
The Harmonic PBR is the critical value - this is the chart scaling factor that creates perfect geometric harmony between price and time for your selected range.
Visual Components
1. Horizontal Boundary Lines
Two horizontal lines extend from the selected range at a distance of Range × φ (golden ratio extension):
Upper line: Extended above the swing high (for uplegs) or swing low (for downlegs)
Lower line: Extended below the swing low (for uplegs) or swing high (for downlegs)
These lines mark the natural harmonic boundaries of the price movement.
2. Rectangle Diagonal Lines
Two diagonal lines that create a "rectangle" effect, connecting:
Overlap points on horizontal boundaries to swing extremes
These lines go in the opposite direction of the price leg (creating the symmetrical mandala pattern)
When extended, they reveal future geometric support/resistance zones
3. Phi Harmonic Circles (Optional)
Two precisely calculated circles (drawn as smooth polylines):
Circle A: Centered at the first swing extreme (Nodal A)
Circle B: Centered at the second swing extreme (Nodal B)
Radius = Range × φ, causing them to perfectly touch the horizontal boundary lines
These circles visualize the geometric harmony and create a mandala-like pattern that reveals natural price zones.
How to Use
Step 1: Select Your Range
Set the Start Date at your swing low or swing high
Set the End Date at the opposite extreme
The indicator automatically detects whether it's an upleg or downleg
Step 2: Read the Harmonic PBR
Check the highlighted yellow row in the table: "PBR × √φ"
This is your chart scaling value
Step 3: Apply Chart Scaling (Optional)
For perfect geometric visualization:
Right-click on your chart's price axis
Select "Scale price chart only"
Enter the PBR × √φ value
The geometry will now display in perfect harmonic proportion
Step 4: Interpret the Geometry
Horizontal lines: Key support/resistance zones at phi extensions
Diagonal lines: Dynamic trend channels and future price-time balance points
Circle intersections: Natural harmonic turning points
Central diamond area: Core price-time equilibrium zone
Key Features
✅ Automatic swing detection - identifies upleg/downleg automatically
✅ Scale-invariant geometry - maintains proportions across timeframes
✅ Phi harmonic calculations - based on golden ratio mathematics
✅ Professional color scheme - clean, non-intrusive visuals
✅ Customizable display - toggle circles, lines, and table independently
✅ Smooth circle rendering - adjustable segments (16-360) for optimal smoothness
Settings
Show Horizontal Boundary Lines: Display phi extension levels
Show Rectangle Diagonal Lines: Display the geometric framework
Show Phi Harmonic Circles: Display circular geometry (optional)
Circle Smoothness: Adjust polyline segments (default: 96)
Colors: Fully customizable color scheme for all elements
Theory Background
This indicator draws inspiration from:
W.D. Gann's price-time squaring techniques
Bradley Cowan's geometric market analysis
Phi/golden ratio harmonic theory
Mathematical constants in market structure
Unlike traditional Fibonacci retracements, this tool uses √φ instead of φ as the primary scaling constant, creating a unique geometric relationship that "squares" price movement with time passage.
Best Practices
Use on significant swings - Works best on major swing highs/lows
Multiple timeframe analysis - Apply to different timeframes for confluence
Combine with other tools - Use alongside support/resistance and trend analysis
Respect the geometry - Pay attention when price interacts with geometric elements
Chart scaling optional - The geometry works at any scale, but scaling enhances visualization
Notes
The indicator draws geometry from left to right (from Nodal A to Nodal B)
All lines extend infinitely for future projections
The table shows real-time calculations for the selected range
Date range selection uses confirm dialogs to prevent accidental changes
Pradeep Bonde (Stockbee) Momentum Pro TradingView Description for "Pradeep Bonde (Stockbee) Momentum Pro"
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Pradeep Bonde (Stockbee) Momentum Pro
The Complete Momentum & Episodic Pivot Trading System
Based on the proven methodology of Pradeep Bonde (Stockbee) — the legendary momentum trader and "Mentor to $100 Million Traders."
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📈 OVERVIEW
This indicator implements Stockbee's complete momentum trading system, designed to identify high-probability swing trade setups. It combines Episodic Pivots, Momentum Bursts, Anticipation Setups, and IBD-style Relative Strength analysis into a single professional tool.
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🔥 KEY FEATURES
1. EPISODIC PIVOT DETECTION (EP)
The crown jewel of Stockbee's methodology:
- Detects 10%+ gaps on massive volume (2x+ average) — true catalyst-driven breakouts
- Identifies Delayed EP Breakouts — consolidation after initial gap, then secondary breakout
- Tracks days since EP for optimal entry timing
- PEAD (Post Earnings Announcement Drift) opportunities
2. MOMENTUM BURST SIGNALS
- 4%+ moves on volume 40%+ above average
- Quality filters: Requires narrow range before breakout, close near high of day
- Tiered signals: Momentum Burst → Strong Momentum → Exceptional Momentum
- "Quality" prefix (★) indicates setups with all filters passed
3. ANTICIPATION SETUP DETECTION
Pre-breakout coiling patterns:
- Detects 1-3 week tight consolidations after prior 15-25%+ advances
- Volume dry-up analysis during consolidation (< 60% of prior average)
- Anticipation score helps identify coiled springs before they break out
4. IBD-STYLE RELATIVE STRENGTH
- Custom RS Rating (1-99 scale) weighted by recent performance
- RS New High detection — signals institutional accumulation
- Weighted calculation: 40% Q1, 20% Q2, 20% Q3, 20% Q4 performance
5. BAG HOLDER PROTECTION ⚠️
Stockbee's cardinal rule: "Never buy after 3+ consecutive up days"
- Automatic detection of late entries
- Visual warnings on chart
- Quality score penalty for bag holder territory
6. EXIT SIGNAL SYSTEM
- First down day after 3+ up days = EXIT
- Close below 5-day MA trigger
- Clear visual EXIT labels on chart
Signal Thresholds:
- 🎯 PERFECT: Score ≥ 8.5 (highest probability trades)
- 💪 STRONG BUY: Score ≥ 7.5
- BUY: Score ≥ 6.5
- WATCH: Score 5.0 - 6.5
- ⚠️ LATE ENTRY: High score but in bag holder territory
- BEARISH: Score ≤ 3.0 and below trend MA
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🎨 VISUAL ELEMENTS
Chart Labels
- 🔥 EP — True Episodic Pivot (10%+ gap)
- ★EM / ★MB — Quality Exceptional/Momentum Burst
- ★BO — Quality Breakout
- ⚡ — Coiling setup (pre-breakout)
- RS↑ — Relative Strength new high
- LATE — Bag holder warning
- EXIT — Exit signal
Chart Elements
- Moving Averages: 5, 10, 20, 50, 200 MA with professional styling
- Consolidation Boxes: Shows prior consolidation range on breakouts
- Stop/Target Lines: Automatic levels on active signals
- Background Colors: Gradient highlighting for signal strength
Dashboard (Top Right)
Professional 3-column display showing:
- Signal status & total score
- Visual score bars for each component
- Key metrics (RS Rating, Volume Ratio, Close Position)
- Filter status (Trend, Entry Day)
- Trade setup (Risk/Reward ratio)
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⚙️ CUSTOMIZABLE SETTINGS
General
- Show/hide labels, backgrounds, consolidation boxes
- Trend filter (50 MA, 200 MA, or Both)
- Bag holder avoidance toggle
Momentum Burst
- Threshold percentages (4%, 6%, 8%+)
- Require narrow range before breakout
- Close near high threshold
Episodic Pivot
- Consolidation period (20-60 days)
- Consolidation range (5-20%)
- Gap threshold (10%+)
- Volume multiple (2x+)
Narrow Range / Contraction
- Lookback period
- Range threshold
- Days required before breakout
Volume Analysis
- Average period (50 days)
- Spike threshold (1.4x = 40% above average)
- Volume vs previous day requirement
- Dry-up threshold for consolidation
Relative Strength
- Minimum RS rating (80)
- Strong RS rating (90)
- EPS growth minimum filter
Display Options
- Toggle for each signal type
- Debug panel for troubleshooting
- Color customization
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🔔 ALERTS
Comprehensive alert conditions:
- 🔥 True Episodic Pivot — The most important signal
- 🎯 Perfect Setup
- 💪 Strong Buy Signal
- Buy Signal
- Quality Momentum Burst
- Consolidation Breakout
- RS New High
- ⚠️ Bag Holder Warning
- Exit Signal
- Gap Up/Down
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📚 STOCKBEE METHODOLOGY SUMMARY
Core Principles:
- Buy Day 1 of breakout, not Day 3+ (bag holder territory)
- Focus on $10-$100 stocks with RS > 80
- Prefer breakouts after tight consolidation or negative day
- Close near high of day on breakout confirms strength
- Volume > previous day volume on breakout
- Exit on first down day after 3+ up days
- Hold 2-5 days typically for 8-40% gains
MAGNA Criteria:
- Massive earnings (100%+ EPS/Sales growth)
- Gap up (4%+ on 100k+ pre-market volume)
- Neglected (low prior volume, minimal institutional ownership)
- Analyst upgrades
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💡 USAGE TIPS
- For best results: Use on daily timeframe with stocks $10-$100
- Focus on: 🔥 EP and ★ (quality) signals
- Avoid: Entries showing "LATE" warning
- Combine with: Fundamental screening (EPS growth 25%+)
- Use trend filter: Prefer stocks above 50-day MA
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⚠️ DISCLAIMER
This indicator is for educational purposes. Past performance is not indicative of future results. Always use proper risk management and position sizing. Not financial advice.
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Based on the research and methodology of Pradeep Bonde at Stockbee.com
Kaufman Adaptive Moving Average (fixed TF)**Kaufman Adaptive Moving Average – fixed Timeframe version (Pine v5)**
This script is a Pine Script v5 adaptation of the original *Kaufman Adaptive Moving Average* by Alex Orekhov (everget), extended with the ability to calculate KAMA on a **fixed timeframe**. You can keep the calculation on your current chart timeframe or lock it to any higher timeframe (for example 1D on a 1H chart) and still display the line on your active chart.
KAMA automatically adjusts its smoothing based on price efficiency: it becomes faster in trending markets and slower in choppy ones. This version colors the line green/red depending on the direction of the KAMA on the **selected timeframe**, and includes an optional “await bar confirmation” setting to avoid reacting to still-forming bars.
**Main features**
* Original Kaufman Adaptive Moving Average logic (length, fast/slow EMA lengths, source input)
* Optional **fixed timeframe** input for the KAMA calculation (leave empty to use chart timeframe)
* Non-repainting higher-timeframe calculation using `request.security()`
* Dynamic color change (green/red) based on KAMA trend on the chosen timeframe
* Optional bar-confirmation filter for more conservative color changes
* Built-in alert on color change (trend shift)
**How to use**
1. Add the indicator to your chart.
2. Leave “KAMA Timeframe” empty to use the chart’s timeframe (standard KAMA).
3. Or set “KAMA Timeframe” to a higher TF (e.g. `60`, `240`, `D`, `W`) to overlay a higher-timeframe KAMA on a lower-timeframe chart.
4. Use the color changes or the alert to identify potential trend shifts in the selected timeframe while watching price action on your working timeframe.
TRADE ORBIT:- PRO—IndicatorVolume/BOS/Supertrend WITH DashboardKey Features
✔ OBV / Volume Strength Confirmation
No more weak entries in low liquidity zones
✔ Structure Break Filters (BOS & ChoCH)
Only triggers signals when market shifts direction with power
✔ SuperTrend Trend Filter (Optional)
Allows you to trade only in the main market direction
✔ MACD Histogram Momentum Check
Avoids counter-momentum trades
✔ RSI Zone Control
Stops entries in overbought/oversold traps
✔ Dashboard & Signal Strength Meter
Shows:
• Trend Status
• Volume Bias
• Last Signal Direction
• Breakout Confirmation
🎯 Best For:
Scalping & Quick Intraday Moves
Forex • Crypto • Indices • Stocks
3–15min charts recommended
🛠 Market Logic Summary
BUY Conditions:
🔹 Supertrend Bullish
🔹 EMA 5 crossover above EMA 12
🔹 MACD Momentum > 0
🔹 OBV Rising + Volume Strength Positive
🔹 Confirmed BOS to upside
SELL Conditions:
🔹 Supertrend Bearish
🔹 EMA 5 crossunder EMA 12
🔹 MACD Momentum < 0
🔹 Volume Weakness or OBV declining
🔹 Confirmed BOS to downside
📌 Alerts Included
🚨 BUY Entry Trigger
🚨 SELL Entry Trigger
TEEN BAAN DHAARIDashboard: Open = High/Low (LIVE) is a powerful multi-timeframe scanner that instantly identifies whether the current candle on any timeframe shows bullish strength (O = L) or bearish pressure (O = H). Built for LIVE market conditions, it analyzes 13 timeframes from 1 minute to Monthly and presents all results in a clean, compact on-chart dashboard.
With full customization options for position, size, and colors, this tool adapts to any trading style. It helps traders quickly spot strong power candles, understand directional aggression, and make faster, more confident decisions without manually checking multiple charts. Lightweight, fast, and universally compatible with all markets — this indicator gives you a real-time directional snapshot in one glance.
Disclaimer: This information is provided for educational and informational purposes only. It should not be considered as investment advice. Please consult your SEBI-registered adviser before making any investment decisions.
SHOPPA trendBuy and Sell indicator based on golden cross and death cross. exit signals for LX (long exit) and SX (short exit)
SPX Realized Volatility & Expected MoveRealized Volatility & Expected Move Dashboard
This indicator provides a sophisticated, multi-horizon view of an asset's historical volatility and projects the corresponding expected move (EM) in price points. Unlike indicators that rely on implied volatility (VIX), this tool uses the asset's own historical price action (Realized Volatility) to forecast future range potential.
Key Features & Calculations
Multi-Horizon Realized Volatility (RV): Calculates the annualized Realized Volatility based on log returns for three critical lookback periods:
30 Days (Long-Term): Measures structural volatility (default lookback).
9 Days (Short-Term): Captures recent market temperament.
1 Day (Immediate): Highly reactive to the previous day's movement.
Daily Timeframe Independence (Critical): The RV calculation is performed exclusively on Daily price data (via request.security), ensuring that the 30-day lookback is always 30 calendar days, regardless of whether you view the indicator on a 1-minute or 4-hour chart.
Expected Move Projection: Projects the calculated RV onto the price using the standard financial formula:
$$\text{EM}_{\text{H}} = \text{Price} \times \frac{\text{RV}_{\text{Annual}}}{100} \times \sqrt{\frac{\text{Horizon Days}}{252}}$$
Visual Bands: Plots the Upper and Lower Expected Move bands centered around the current price for all three horizons, providing clear targets for range expansion or contraction.
Comprehensive Table Output: A dashboard summarizes the key metrics, displaying:
Realized Vol (Annualized %): The raw volatility percentage.
Full Horizon Expected Move: The calculated price point move over the full 30-day, 9-day, or 1-day horizon.
Daily Equivalent Expected Move: The daily expected move derived from that RV, making it the most useful target for intraday trading (e.g., the $\pm 1\sigma$ move for today).
Interpretation & Usage
Identify Regime Changes: Compare the short-term RV (9D) against the long-term RV (30D). If 9D > 30D, volatility is accelerating; if 9D < 30D, volatility is contracting.
Set Intraday Targets: Use the 1 Day EM or the Daily Equivalent EM derived from the 9D/30D bands as dynamic support and resistance levels for the trading session.
Analyze Over-Extension: If the price trades outside the 30 Day EM bands, the move is historically extreme and may signal a sharp reversal or momentum exhaustion.
ADR / $Volume DashboardSee 5 / 20 days ADR / Volume and price %age from low of day on top of the chart
NAS Ultimate Algo v2.5NAS Ultimate Algo v2.5 has following features:
1. Dynamic Trailing SL Label
2. Auto-Hide on TP Hit
3. Dynamic Take-Profit Targets (ATR-based)
4. Label Colour Customization
Multi-Timeframe Opening RangeMulti Time frame range created to find trends and look for blocks of time in which the market is most likely to pivot.
Also assists in finding trends more easily highs and lows.
Take bounces and rejections off the boxes it works well.






















