Volume + RSI & MA Differential"Volume + RSI & MA Differential," integrates volume, RSI, and moving average differentials to generate trading signals. The script calculates a 14-period RSI to identify overbought or oversold conditions, with customizable thresholds for buy and sell signals. It also computes a 20-period SMA of the volume to smooth out trading activity data, helping to identify trends in market participation.
The script incorporates a fast (50-period) and a slow (200-period) SMA to analyze short-term and long-term trends, respectively. The differential between these moving averages, adjusted by the volume SMA, is used to identify potential trend changes or confirmations. Bars are colored yellow when the RSI is below the buy threshold and volume is high, indicating a potential buy signal. Conversely, bars turn red when the RSI is above the sell threshold and the fast MA is below the current close price, suggesting a potential sell signal. Neutral conditions result in grey bars.
Additionally, the script uses color-coding to plot the volume SMA and a line that changes color based on the moving average differential. A black line indicates a broadening MA cloud and a bullish trend, while a grey line suggests a narrowing MA cloud and a potential selloff. A yellow line signals the beginning of a buyback. This visual representation helps traders quickly identify potential trading opportunities and trend changes, making the script a valuable tool for technical analysis.
Biến động
Candle Spread + ATR SMA Analysis
This indicator combines elements from two popular open-source scripts — Candle Range Compare
by @oldinvestor
and Objective Analysis of Spread (VSA)
by @Rin-Nin
— into a single tool for analyzing candle spreads (ranges and bodies) in relation to volatility benchmarks.
🔎 What It Does
Candle Decomposition:
Plots total candle ranges (high–low) in gray, for both up and down closes.
Plots up-close bodies (open–close) in white.
Plots down-close bodies in black.
This makes it easy to spot whether volatility comes from real price movement (body) or extended wicks.
ATR & SMA Volatility Bands:
Calculates ATR (Average True Range) and overlays it as a black line.
Plots four volatility envelopes derived from the SMA of the true range:
0.8× (blue, shaded)
1.3× (green)
1.8× (red)
3.0× (purple)
Colored fill zones highlight when candle spreads are below, within, or above key thresholds.
Visual Context:
Track expansion/contraction in spreads.
Compare bullish (white) vs bearish (black) bodies to gauge buying/selling pressure.
Identify when candles stretch beyond typical volatility ranges.
📈 How To Use It
VSA context: Wide down bars (black) beyond ATR bands may suggest supply; wide up bars (white) may indicate demand.
Trend confirmation: Expanding ranges above average thresholds (green/red/purple bands) often confirm momentum.
Reversal potential: Small bodies but large ranges (gray + wicks) frequently appear at turning points.
Volatility filter: Use ATR bands to filter trades — e.g., only act when candle ranges exceed 1.3× or 1.8× SMA thresholds.
🙏 Credits
This script is inspired by and combines ideas from:
Candle Range Compare
by @oldinvestor
Objective Analysis of Spread (VSA)
by @Rin-Nin
Big thanks to both authors for their valuable contributions to the TradingView community.
One thing I couldnt quite get to work is being able to display up and down wicks like in the candle range compare, so I just add that indicator to the chart as well, uncheck everything but the wick plots and there it is.
TEMA Ribbon 9/13/15/21 – Smooth trend shifts, less lag, clearer“TEMA Ribbon 9/13/15/21 – Smooth trend shifts, less lag, clearer bias.”
Plots four Triple Exponential Moving Averages (9, 13, 15, 21) with shaded zones for quick trend visualization. Helps identify short- vs. medium-term momentum shifts with reduced lag compared to standard EMAs.
Recommended Usage:
Best applied on 5M–1H intraday charts for momentum and trend confirmation.
Use the 9 & 13 TEMA for short-term momentum shifts.
Use the 15 & 21 TEMA for medium-term bias.
Look for crossovers and alignment (all fast TEMAs above/below slow ones) to confirm bullish or bearish conditions.
Shaded zones help visualize when the short- and medium-term trends converge or diverge, signaling potential entry or exit points.
Combine the TEMA Ribbon with VWAP or session-based trading (e.g., London/New York Killzones) to filter signals.
Trade only in the direction of VWAP bias (price above VWAP → favor longs, below → favor shorts).
Within Killzones, use TEMA alignment (9/13 above 15/21 = bullish trend, or opposite for bearish) as confirmation before entries.
This reduces false signals and locks entries to periods of high liquidity and volatility, where TEMA shines.
//@version=5
indicator("TEMA 9/13/15/21", overlay=true)
// Quelle
src = close
// Funktion: TEMA
tema(src, length) =>
e1 = ta.ema(src, length)
e2 = ta.ema(e1, length)
e3 = ta.ema(e2, length)
3.0 * e1 - 3.0 * e2 + e3
// TEMA-Berechnung
t9 = tema(src, 9)
t13 = tema(src, 13)
t15 = tema(src, 15)
t21 = tema(src, 21)
// Plots
p9 = plot(t9, "TEMA 9", color=color.teal, linewidth=2)
p13 = plot(t13, "TEMA 13", color=color.aqua, linewidth=2)
p15 = plot(t15, "TEMA 15", color=color.orange, linewidth=2)
p21 = plot(t21, "TEMA 21", color=color.fuchsia, linewidth=2)
// Einfaches Fill (zwischen schnellstem und langsamstem)
fill(p9, p21, color=color.new(color.gray, 85))
fill(p13, p15, color=color.new(color.gray, 92))
PCV (Darren.L-V2)Description:
This indicator combines Bollinger Bands, CCI, and RVI to help identify high-probability zones on M15 charts.
Features:
Bollinger Bands (BB) – displayed on the main chart in light gray. Helps visualize overbought and oversold price levels.
CCI ±100 levels + RVI – displayed in a separate sub-window:
CCI only shows the ±100 reference lines.
RVI displays a cyan main line and a red signal line.
Valid Zone Detection:
Candle closes outside the Bollinger Bands.
RVI crosses above +100 or below -100 (CCI level reference).
Candle closes back inside the BB, confirming a price rebound.
Requires two touches in the same direction to confirm the zone.
Only zones within 20–30 pips range are considered valid.
Usage:
Helps traders spot reversal or bounce zones with clear visual signals.
Suitable for all indices, Forex, and crypto on M15 timeframe.
PCV Setup (By Darren.L)The PCV Setup is designed for M15 scalping trading.
It combines Bollinger Bands (volatility), CCI (momentum), and RVI (trend confirmation) to filter false signals and improve accuracy.
Sniper Swing — Short TF (Clean Signals) [v6]📘 How to Use the Sniper Swing Indicator
1. What It Does
It looks for short-term swing breaks in price.
It uses an oscillator (RSI/Stoch) and swing pivots to confirm moves.
It gives you 3 clear signals only:
BUY → Enter long (expecting price to go up).
Gay bear → Enter short (expecting price to go down).
EXIT → Close your trade (long or short).
Candles also change color:
Green = in a BUY trade.
Red = in a Gay bear trade.
Neutral (gray/none) = no trade.
2. When to Use
Works best on short timeframes (1m–5m) for scalping/intraday.
Use on liquid markets (MES/ES, NQ, SPY, BTC, ETH).
Avoid dead hours with no volume (like overnight futures lull or midday chop).
3. How to Trade With It
A. BUY trade
Wait for a BUY triangle below the candle.
Confirm:
Candle turned green.
Price broke a recent swing high.
Oscillator shows strength (indicator does this for you).
Enter long at the close of that candle.
Place your stop-loss:
At the yellow stop line (auto trailing stop), or
Just below the last swing low.
Stay in while candles are green.
Exit when:
An orange X appears, or
Price hits your stop.
B. Gay bear (short) trade
Wait for a Gay bear triangle above the candle.
Confirm:
Candle turned red.
Price broke a recent swing low.
Oscillator shows weakness.
Enter short at the close of that candle.
Place stop-loss:
At the yellow stop line, or
Just above the last swing high.
Stay in while candles are red.
Exit on an orange X or stop hit.
4. Pro Tips for New Traders
Only take one signal at a time → don’t double dip.
Quality > Quantity: ignore weak, sideways markets. Best signals happen during trends.
Start small: trade micros (MES) or small position sizes.
Use alerts: set TradingView alerts for BUY/Gay bear/EXIT so you don’t miss setups.
Think of the indicator like a navigator: it tells you the likely path, but you’re the driver → always manage risk.
5. Quick Mental Checklist
Signal? (BUY or Gay bear triangle)
Confirmed? (candle color + swing break)
Enter? (on close)
Stop? (yellow line or swing)
Exit? (orange X or stop)
Laguerre-Kalman Adaptive Filter | AlphaNattLaguerre-Kalman Adaptive Filter |AlphaNatt
A sophisticated trend-following indicator that combines Laguerre polynomial filtering with Kalman optimal estimation to create an ultra-smooth, low-lag trend line with exceptional noise reduction capabilities.
"The perfect trend line adapts to market conditions while filtering out noise - this indicator achieves both through advanced mathematical techniques rarely seen in retail trading."
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🎯 KEY FEATURES
Dual-Filter Architecture: Combines two powerful filtering methods for superior performance
Adaptive Volatility Adjustment: Automatically adapts to market conditions
Minimal Lag: Laguerre polynomials provide faster response than traditional moving averages
Optimal Noise Reduction: Kalman filtering removes market noise while preserving trend
Clean Visual Design: Color-coded trend visualization (cyan/pink)
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📊 THE MATHEMATICS
1. Laguerre Filter Component
The Laguerre filter uses a cascade of four all-pass filters with a single gamma parameter:
4th order IIR (Infinite Impulse Response) filter
Single parameter (gamma) controls all filter characteristics
Provides smoother output than EMA with similar lag
Based on Laguerre polynomials from quantum mechanics
2. Kalman Filter Component
Implements a simplified Kalman filter for optimal estimation:
Prediction-correction algorithm from aerospace engineering
Dynamically adjusts based on estimation error
Provides mathematically optimal estimate of true price trend
Reduces noise while maintaining responsiveness
3. Adaptive Mechanism
Monitors market volatility in real-time
Adjusts filter parameters based on current conditions
More responsive in trending markets
More stable in ranging markets
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⚙️ INDICATOR SETTINGS
Laguerre Gamma (0.1-0.99): Controls filter smoothness. Higher = smoother but more lag
Adaptive Period (5-100): Lookback for volatility calculation
Kalman Noise Reduction (0.1-2.0): Higher = more noise filtering
Trend Threshold (0.0001-0.01): Minimum change to register trend shift
Recommended Settings:
Scalping: Gamma: 0.6, Period: 10, Noise: 0.3
Day Trading: Gamma: 0.8, Period: 20, Noise: 0.5 (default)
Swing Trading: Gamma: 0.9, Period: 30, Noise: 0.8
Position Trading: Gamma: 0.95, Period: 50, Noise: 1.2
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📈 TRADING SIGNALS
Primary Signals:
Cyan Line: Bullish trend - price above filter and filter ascending
Pink Line: Bearish trend - price below filter or filter descending
Color Change: Potential trend reversal point
Entry Strategies:
Trend Continuation: Enter on pullback to filter line in trending market
Trend Reversal: Enter on color change with volume confirmation
Breakout: Enter when price crosses filter with momentum
Exit Strategies:
Exit long when line turns from cyan to pink
Exit short when line turns from pink to cyan
Use filter as trailing stop in strong trends
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✨ ADVANTAGES OVER TRADITIONAL INDICATORS
Vs. Moving Averages:
Significantly less lag while maintaining smoothness
Adaptive to market conditions
Better noise filtering
Vs. Standard Filters:
Dual-filter approach provides optimal estimation
Mathematical foundation from signal processing
Self-adjusting parameters
Vs. Other Trend Indicators:
Cleaner signals with fewer whipsaws
Works across all timeframes
No repainting or lookahead bias
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🎓 MATHEMATICAL BACKGROUND
The Laguerre filter was developed by John Ehlers, applying Laguerre polynomials (used in quantum mechanics) to financial markets. These polynomials provide an elegant solution to the lag-smoothness tradeoff that plagues traditional moving averages.
The Kalman filter, developed by Rudolf Kalman in 1960, is used in everything from GPS systems to spacecraft navigation. It provides the mathematically optimal estimate of a system's state given noisy measurements.
By combining these two approaches, this indicator achieves what neither can alone: a smooth, responsive trend line that adapts to market conditions while filtering out noise.
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💡 TIPS FOR BEST RESULTS
Confirm with Volume: Strong trends should have increasing volume
Multiple Timeframes: Use higher timeframe for trend, lower for entry
Combine with Momentum: RSI or MACD can confirm filter signals
Market Conditions: Adjust noise parameter based on market volatility
Backtesting: Always test settings on your specific instrument
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⚠️ IMPORTANT NOTES
No indicator is perfect - always use proper risk management
Best suited for trending markets
May produce false signals in choppy/ranging conditions
Not financial advice - for educational purposes only
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🚀 CONCLUSION
The Laguerre-Kalman Adaptive Filter represents a significant advancement in technical analysis, bringing institutional-grade mathematical techniques to retail traders. Its unique combination of polynomial filtering and optimal estimation provides a clean, reliable trend-following tool that adapts to changing market conditions.
Whether you're scalping on the 1-minute chart or position trading on the daily, this indicator provides clear, actionable signals with minimal false positives.
"In the world of technical analysis, the edge comes from using better mathematics. This indicator delivers that edge."
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Developed by AlphaNatt | Professional Quantitative Trading Tools
Version: 1.0
Last Updated: 2025
Pine Script: v6
License: Open Source
Not financial advice. Always DYOR
AVWAP+RSI Confluence — 1R TesterRSI + 1R ATR - Monthly P\&L (v4)
WHAT THIS STRATEGY DOES (OVERVIEW)
* Pine strategy (v4) that combines a simple momentum trigger with a symmetric 1R ATR risk model and an on-chart Monthly/Yearly P\&L table.
* Momentum filter: trades only when RSI crosses its own SMA in the direction of the trend (price vs Trend EMA).
* Risk engine: exits use fixed 1R ATR brackets captured at entry (no drifting targets/stops).
* Accounting: the table aggregates percentage returns by month and year using strategy equity.
ENTRY LOGIC (LONGS & OPTIONAL SHORTS)
Indicators used:
* RSI(rsiLen) and its SMA: SMA(RSI, rsiMaLen)
* Trend filter: EMA(emaTrendLen) on price
Longs:
1. RSI crosses above its RSI SMA
2. RSI > rsiBuyThr (filters weak momentum)
3. Close > EMA(emaTrendLen)
Shorts (optional via enableShort):
1. RSI crosses below its RSI SMA
2. RSI < rsiSellThr
3. Close < EMA(emaTrendLen)
EXIT LOGIC AND RISK MODEL (1R ATR)
* On entry, snapshot ATR(atrLen) into atrAtEntry and the average fill price into entryPx.
* Longs: stop = entryPx - ATR \* atrMult; target = entryPx + ATR \* atrMult
* Shorts: mirrored.
* Stops and targets are posted immediately and remain fixed for the life of the trade.
POSITION SIZING AND COSTS
* Default position size: 25% of equity per trade (adjustable in Properties/inputs).
* Commission percent and a small slippage are set in strategy() so backtests include friction by default.
MONTHLY / YEARLY P\&L TABLE (HOW IT WORKS)
* Uses strategy equity to compute bar returns: equity / equity\ - 1.
* Compounds bar returns into current month and current year; commits each finished period at month/year change (or last bar).
* Renders rows as years; columns Jan..Dec plus a Year total column.
* Cells colored by sign; precision and maximum rows are controlled by inputs.
* Values represent percentage returns, not currency P\&L.
VISUAL AIDS
* Two pivot trails (pivot high/low) are plotted for context only; they do not affect entries or exits.
CUSTOMIZATION TIPS
* Raise rsiBuyThr (long) or lower rsiSellThr (short) to filter weak momentum.
* Increase emaTrendLen to tighten trend alignment.
* Adjust atrLen and atrMult to fit your timeframe/instrument volatility.
* Leave enableShort = false if you prefer long-only behavior or shorting is constrained.
NON-REPAINTING AND BACKTEST NOTES
* Signals use bar-close crosses of built-in indicators (RSI, EMA, ATR); no future bars are referenced.
* calc\_on\_every\_tick = true for responsive visuals; Strategy Tester evaluates on bar close in history.
* Backtest stop/limit fills are simulated and may differ from live execution/liquidity.
DISCLAIMERS
* Educational use only. This is not financial advice. Markets involve risk. Past performance does not guarantee future results.
INPUTS (QUICK REFERENCE)
* rsiLen, rsiMaLen, rsiBuyThr, rsiSellThr
* emaTrendLen
* atrLen, atrMult, enableShort
* leftBars, rightBars, prec, showTable, maxYearsRows
SHORT TAGLINE
RSI momentum with 1R ATR brackets and a built-in Monthly/Yearly P\&L table.
TAGS
strategy, RSI, ATR, trend, risk-management, backtest, Pine-v4
TRADIVEX_ATR TablosuBINANCE:BTCUSDT.P tr.tradingview.com ## **TRADIVEX\_ATR Table – Indicator Description**
**Overview:**
The TRADIVEX\_ATR Table is a versatile trading tool that provides a concise, visual overview of market volatility, price direction, and ATR-based support/resistance levels. Designed for traders seeking quick insights, this indicator combines key metrics into a color-coded table directly on the chart.
**Key Features:**
* **ATR Calculation & Dynamic Bands:**
Measures Average True Range (ATR) over a configurable period and calculates upper and lower price bands using a multiplier. These bands act as dynamic support and resistance levels, adapting automatically to market volatility.
* **Volatility Assessment:**
Displays market volatility as a percentage of the current price. Volatility is classified into **High, Medium, or Low**, with intuitive color coding:
* High → Red
* Medium → Orange
* Low → Green
* **Price Direction:**
Tracks the direction of the current price relative to the previous bar:
* Up → Green
* Down → Red
* Neutral → Gray
* **Information Table:**
Shows all relevant metrics in a structured table overlay, including:
1. ATR Length (period)
2. ATR Multiplier
3. Upper Band Level
4. Lower Band Level
5. Current Price
6. High Price
7. Low Price
8. ATR Value
9. Volatility Level (color-coded)
10. Price Direction (color-coded)
* **Customizable Table Position:**
The table can be positioned anywhere on the chart (top, middle, bottom, left, right, or center), ensuring it doesn’t obstruct your price action analysis.
**Usage & Benefits:**
* Quickly assess market volatility and momentum.
* Identify short-term trends and directional bias.
* Monitor dynamic ATR-based support/resistance levels.
* Make informed decisions for entries, exits, and stop-loss placements.
**Ideal For:**
Traders who want a **real-time, visual summary of market conditions** without cluttering the chart with multiple indicators.
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PumpC ATR Line LevelsPumpC ATR Line Levels
Overview
PumpC ATR Line Levels is a volatility-based indicator that projects potential expansion levels from the previous session’s close using the Average True Range (ATR). This tool builds upon the Previous OHLC framework created by Nephew_Sam_ by extending its session-handling logic and adding ATR-based levels, statistical tracking, and flexible visualization options.
How It Works
Calculates ATR from a user-selectable higher timeframe (default: Daily).
Projects levels above and below the previous session’s close (or current close when preview mode is enabled).
Supports up to 5 ATR multiples, each with independent toggles, colors, and labels.
Optionally displays only the most recent ATR session for clarity.
Includes a data table tracking how often ATR levels are reached or closed beyond.
Features
Configurable ATR timeframe and length (default: 21).
Default multiples: 0.30, 0.60, 0.90; optional: 1.236, 2.00.
Toggle for preview mode (using current close vs. locked prior session close).
Customizable line style, width, colors, and label placement.
Visibility filter to show only on chart TF ≤ 60 minutes.
Session statistics table with counts and percentages of level interactions.
Use Cases
Identify intraday expansion targets or stop placement zones based on volatility.
Evaluate historical tendencies of price respecting or breaking ATR bands.
Support volatility-adjusted trade planning with statistical validation.
Acknowledgment
This script was developed on top of the Previous OHLC indicator by Nephew_Sam_ , with major modifications to implement ATR-driven levels, extended statistics, and customizable table output.
Notes
This indicator does not generate buy/sell signals.
Best applied to intraday charts anchored to a higher-timeframe ATR.
Keep charts clean and avoid non-standard bar types when publishing.
Range Trading Strategy
This indicator automatically marks the intraday trading range defined by the first four hours of the New York session (6:00 AM to 10:00 AM EST/EDT).
It calculates the highest high and lowest low within that window on a user-selected calculation timeframe, then projects those levels forward as horizontal lines that remain visible across any chart timeframe.
The lines can be displayed in real time while the window is forming or locked once the session ends, and optional price labels and background shading make the range easy to track.
Traders can use these reference levels to monitor potential breakout or reversal zones, manage risk, and plan entries/exits relative to the early session’s defined support and resistance.
For training check this video youtu.be
Adaptive Open InterestThis indicator analyzes Bitcoin open interest to identify overbought and oversold conditions that historically precede major price moves. Unlike static levels, it automatically adapts to current market conditions by analyzing the last 320 bars (user adjustable).
How It Works
Adaptive Algorithm:
-Analyzes the last 320 bars of open interest data
-Combines percentile analysis (90th, 80th, 20th, 10th percentiles) with statistical analysis (standard deviations)
-Creates dynamic zones that adjust as market conditions change
Four Key Zones:
🔴 Extreme Overbought (Red) - Major crash risk territory
🟠 Overbought (Orange) - Correction risk territory
🔵 Oversold (Blue) - Opportunity territory
🟢 Extreme Oversold (Green) - Major opportunity territory
For Risk Management:
-When OI enters red zones → Consider reducing long positions, major crash risk
-When OI enters orange zones → Caution, correction likely incoming
For Opportunities:
-When OI enters blue zones → Look for long opportunities
-When OI enters green zones → Strong buying opportunity, major bounce potential
The Table Shows:
-Current status (which zone OI is in)
-Range position (where current OI sits as % of 320-bar range)
-320-bar high/low levels for context
Why It's Effective:
-Adaptive Nature: What's "high" OI in a bear market differs from bull market - the indicator knows the difference and adjusts automatically.
-Proven Approach: Combines multiple statistical methods for robust signals that work across different market cycles.
-Alert System: Optional alerts notify you when OI crosses critical thresholds, so you don't miss important signals.
-The indicator essentially tells you when the futures market is getting "too crowded" (danger) or "too empty" (opportunity) relative to recent history.
BTC Sigma CloudOverview
The BTC Sigma Cloud indicator calculates and displays 1, 2, and 3 sigma price movements for Bitcoin (BTC) on a rolling basis, visualized as a cloud. It shows historical volatility bands and projects them forward for the next 7 days.
Settings:
Vol Lookback: Default is 20 periods. Adjust to change the volatility calculation window.
Interpretation:
Cloud Bands: The cloud consists of three shaded layers representing 1σ, 2σ, and 3σ moves above and below the current price.
1σ (Innermost): 68% probability of price staying within this range.
2σ (Middle): 95% probability.
3σ (Outermost): 99.7% probability.
Historical View: The cloud tracks past price movements based on volatility.
Projection: The cloud extends 7 days forward, indicating potential price ranges based on current volatility.
Labels: Subtle labels (1σ, -1σ, 2σ, -2σ, 3σ, -3σ) mark the upper and lower bounds of each sigma level on the latest bar for clarity.
Trading Use:
Use the cloud to gauge potential support/resistance zones.
Monitor price behavior near sigma levels for breakout or reversal signals.
The projected cloud helps anticipate future price ranges for planning trades.
Notes
Best used on daily charts for Bitcoin.
Adjust the lookback period to suit shorter or longer-term analysis.
Combine with other indicators for confirmation.
TWAP OscillatorTWAP Oscillator (TOSC)
A powerful mean reversion oscillator that measures price deviation from Time-Weighted Average Price (TWAP) in standard deviations, automatically adapting to your chart timeframe.
How It Works:
The TWAP Oscillator calculates the distance between current price and TWAP, expressed in standard deviations. Unlike VWAP which weights by volume, TWAP gives equal weight to each time period, making it ideal for:
• Mean Reversion Trading - Identifies when price is statistically overextended from its time-weighted average
• Trend Strength Analysis - Shows how far price has deviated from the TWAP baseline
• Entry/Exit Timing - Provides objective levels for trade entries and exits
Automatic Timeframe Adaptation:
The indicator intelligently selects the appropriate TWAP period based on your chart timeframe:
1m Charts → 1D TWAP (intraday mean reversion)
3m-5m Charts → 7D TWAP (weekly perspective)
15m-1h Charts → 30D TWAP (monthly context)
4h-8h Charts → 90D TWAP (quarterly view)
Daily Charts → 365D TWAP (yearly reference)
Trading Days vs Calendar Days:
Toggle between trading days (5D, 22D, 66D, 252D) or calendar days (7D, 30D, 90D, 365D) to match your analysis style.
Divergence Analysis - High Probability Reversals:
The most powerful signals occur when price and oscillator diverge at extreme levels:
Bullish Divergence (Oversold):
• Price makes lower lows
• Oscillator makes higher lows
• Both at oversold levels (-2 or lower)
• Strong buy signal - price weakness not confirmed by TWAP
Bearish Divergence (Overbought):
• Price makes higher highs
• Oscillator makes lower highs
• Both at overbought levels (+2 or higher)
• Strong sell signal - price strength not confirmed by TWAP
Hidden Bullish Divergence:
• Price makes higher lows
• Oscillator makes lower lows
• At oversold levels
• Trend continuation signal - pullback in uptrend
Hidden Bearish Divergence:
• Price makes lower highs
• Oscillator makes higher highs
• At overbought levels
• Trend continuation signal - rally in downtrend
Divergence Confluence Zones:
Maximum Confluence Setup:
• Divergence at extreme levels (±2+ std dev)
• Multiple timeframe confirmation
• Key support/resistance levels
• Volume confirmation
• Highest probability reversal
Divergence Trading Rules:
• Wait for clear divergence formation
• Confirm at extreme oscillator levels
• Enter on divergence confirmation
• Stop loss beyond recent swing
• Target return to zero line or opposite extreme
Key Features:
• Zero Line - Neutral position where price equals TWAP
• Overbought/Oversold Levels - Default ±2 standard deviations (customizable)
• Smoothing - SMA filter to reduce noise
• Info Table - Shows current values and timeframe mapping
• Alerts - Zero line crosses and overbought/oversold conditions
Trading Applications:
Mean Reversion Strategy:
• Enter long when oscillator crosses above oversold level (-2)
• Enter short when oscillator crosses below overbought level (+2)
• Exit when returning to zero line
Trend Following:
• Stay long while oscillator remains above zero
• Stay short while oscillator remains below zero
• Use extreme readings as potential reversal signals
Risk Management:
• Use overbought/oversold levels as stop-loss references
• Scale position size based on oscillator magnitude
• Combine with other indicators for confirmation
Mathematical Foundation:
Oscillator = (Current Price - TWAP) / Standard Deviation
Where:
• TWAP = Time-weighted average price over selected period
• Standard Deviation = Statistical measure of price dispersion
• Result = Number of standard deviations from mean
Best Practices:
• Use on higher timeframes for trend analysis
• Use on lower timeframes for entry timing
• Combine with volume analysis for confirmation
• Adjust overbought/oversold levels based on market volatility
• Consider market structure and support/resistance levels
Perfect For:
• Scalping - 1m charts with 1D TWAP
• Day Trading - 5m-15m charts with 7D TWAP
• Swing Trading - 1h-4h charts with 30D TWAP
• Position Trading - Daily charts with 365D TWAP
Carrera GTTheSouline x Carrera GT
IG：https://www.instagram.com/qberkshireofficial?igsh=MWViZW9nOGZmanpxeg==
ActivTrades US Market Pulse – Ion JaureguiActivTrades US Market Pulse Indicator – Detailed Description
The ActivTrades US Market Pulse Indicator is a market analysis tool designed to assess overall risk sentiment in U.S. financial markets. Rather than generating trade signals, it provides a snapshot of the prevailing market environment, helping traders and analysts understand whether conditions favor risk-taking or caution.
How it Works:
The indicator combines three key market metrics:
1. Sector Momentum:
o Compares the performance of cyclical sectors (e.g., technology, consumer discretionary, industrials) with defensive sectors (e.g., utilities, consumer staples, healthcare) relative to their 50-day moving averages.
o Stronger cyclical sector performance indicates higher market risk tolerance, while stronger defensive sector performance suggests increased risk aversion.
2. Volatility Measure – VIX Index:
o Incorporates the CBOE Volatility Index (VIX), a widely used gauge of market fear.
o Higher VIX levels indicate elevated uncertainty and a risk-off environment, whereas lower levels suggest calmer markets and greater investor confidence.
3. Interest Rate Spread:
o Monitors the yield difference between the 10-year and 2-year U.S. Treasury bonds.
o A wider spread typically reflects economic optimism and greater risk appetite, while a narrower or inverted spread signals caution.
Risk Sentiment Index:
• Each metric is assigned points based on its level, which are then combined to create an index representing overall market sentiment.
• The index oscillates between Risk-On (high risk appetite) and Risk-Off (heightened caution), with a neutral zone for balanced conditions.
Visual Output:
• The results are displayed as a colored histogram, making it easy to interpret market sentiment at a glance.
• Labeled zones include:
o Extreme Risk-On: Indicates a strong risk-taking environment.
o Extreme Risk-Off: Reflects heightened fear or uncertainty.
o Neutral Zone: Suggests a balanced or mixed market sentiment.
Purpose and Use:
• Helps traders, analysts, and investors gauge the prevailing mood of the market.
• Provides context for risk management and strategic positioning without offering explicit trade recommendations.
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The information provided does not constitute investment research. The material has not been prepared in accordance with the legal requirements designed to promote the independence of investment research and such should be considered a marketing communication.
All information has been prepared by ActivTrades ("AT"). The information does not contain a record of AT's prices, or an offer of or solicitation for a transaction in any financial instrument. No representation or warranty is given as to the accuracy or completeness of this information.
Any material provided does not have regard to the specific investment objective and financial situation of any person who may receive it. Past performance and forecasting are not a synonym of a reliable indicator of future performance. AT provides an execution-only service. Consequently, any person acting on the information provided does so at their own risk. Political risk is unpredictable. Central bank actions can vary. Platform tools do not guarantee success.
INDICATORS RISK ADVICE: The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by ActivTrades. This script intends to help follow the trend and filter out market noise. This script is meant for the use of international users. This script is not meant for the use of Spain users.
HalfTrend Histogram (MTF)This indicator shows the halftrend on a histogram (rather than a line on the chart) and has an option for Multi timeframe (MTF).
It uses the logic of the original halftrend coded by Everget.
The halftrend is a trend-following indicator that uses volatility to to determine change in bias.
AMF PG Strategy AMF Command Center Strategy (Praetorian Guard)
The AMF PG Strategy (Praetorian Guard) is an advanced trading system built to adapt seamlessly across market conditions. Its unique structure balances precision entries with intelligent protection, giving traders confidence in both trending and volatile environments.
Key highlights include:
Adaptive Core (AMF Engine) – A dynamic framework that automatically adjusts and generates a powerful tracking line for clearer long and short opportunities.
Praetorian Guard – A built-in protective shield that activates in extreme conditions, helping stabilize performance when markets become turbulent.
Versatility – Effective across multiple timeframes, from scalping to swing trading, without constant parameter adjustments.
Clarity – Clean visual signals and color-coded tracking for instant decision-making.
This strategy was designed for traders who want more than just entries and exits — it offers a command center for disciplined, adaptive, and resilient trading.
CyberTrading01 – CollegePips Exclusive IndicatorVersion 5 – September 2025
This indicator features a custom calculation table based on ATR.
It also identifies various candlestick types according to specific calculations. Then, following trading rules, it detects pivots and key market highs and lows, helping us find the best trading opportunities.
The indicator also has the ability to calculate FVG.
In future versions, Order Blocks and other zones will be added.
To obtain this indicator, you can only contact the Telegram ID: Sceptered_m.
ATR & Price Z-ScoreThis indicator combines the ATR Z-Score and the Price Z-Score into a single framework for evaluating market conditions using statistical context. The ATR Z-Score standardizes volatility by comparing the current ATR value to its historical mean and standard deviation, allowing traders to see when volatility is unusually high (above +2) or unusually low (below –2). The Price Z-Score applies the same normalization process to price itself, showing how far the current close is from its moving average in standard deviation terms, which highlights statistically stretched conditions that often align with overbought or oversold states. By plotting both measures together, traders can identify when price moves are supported by volatility or when the two diverge. For example, a high Price Z paired with a high ATR Z can confirm the strength of a breakout, while a high Price Z with a low ATR Z may suggest an unsustainable move lacking volatility support. Conversely, a volatility spike without an extreme in price can point to shakeouts or regime shifts. Because both measures are normalized, they can be compared across different markets and timeframes, making the indicator useful for spotting breakouts, squeezes, reversals, and abnormal conditions in a statistically consistent way.
AlphaFlow — Direcional Pro [Strategy] — Risk % & Dynamic EquityAlphaFlow is a directional strategy designed to capture trend shifts using a dual moving average system, enhanced with RSI and ATR regime filters, and a long-term EMA filter for confirmation.
Key Features
Dynamic Position Sizing: Risk per trade is based on a fixed % of account equity, with optional dynamic equity growth.
Stop-Loss Options: Choose between ATR-based stop or swing-point stop.
Trade Management:
TP1 is placed at a user-defined risk multiple (R).
Once TP1 is hit, an optional ATR trailing stop activates until TP2 is reached or the stop is triggered.
Visual Tools: Fast/slow EMAs, long EMA, ATR channels, and optional divergence markers for context (do not affect entries).
Backtest Ready: Includes configurable commission, capital, and position sizing.
Use Case
This strategy is built for traders who want systematic trend-following entries with structured risk management. Its modular inputs allow adaptation across assets and timeframes.
⚠️ Disclaimer: Past performance does not guarantee future results. Always validate parameters before live use.
ROV - Rising Only VolumeROV - Rising Only Volume
It will show the volume only if it is above the previous period
Multi-Session High/Low Trackertable that shows rth eth and full weekly range high and low with range difference from high and low
