Prakash and Vicky TrendPrakash and Vicky Trend
This indicator is designed to help traders identify potential trend changes and key price levels on the chart. It uses three weighted moving averages and the volume-weighted average price (VWAP) for a balanced view of short-term momentum, overall trend, and market value.
The fast and slow moving averages generate buy and sell signals when they cross over or under each other, signaling shifts in market momentum.
The longer-term moving average acts as a trend filter, helping traders see the bigger picture direction.
VWAP offers a benchmark level watched by institutions, highlighting areas of value and potential support or resistance.
This combination provides a simple yet effective framework for making trading decisions with a clear view of price action, trend strength, and key levels.
Educational
Live Price Watermark (Flashing Overlay)Displays the current price as a large, centered watermark directly on your chart. The text color updates dynamically:
- Green when price rises
- Red when price falls
- Translucent black when unchanged
My Strategy: Uptrend Pullback ScreenerUptrend Pullback Screener. this will filter the stock who is in uptrend and ready to pullback from support.
Dhokiya's 0.09% IndicatorThis is a custom indicator for predicting the levels on NSE:NIFTY chart for day trading. More strategy details will be updated soon.
(WIP)
- Rahul Dhangar
Dynamic VWAP: Fair Value & Divergence SuiteDynamic VWAP: Fair Value & Divergence Suite
Dynamic VWAP: Fair Value & Divergence Suite is a comprehensive tool for tracking contextual valuation, overextension, and potential reversal signals in trending markets. Unlike traditional VWAP that anchors to the start of a session or a fixed period, this indicator dynamically resets the VWAP anchor to the most recent swing low. This design allows you to monitor how far price has extended from the most recent significant low, helping identify zones of potential profit-taking or reversion.
Deviation bands (standard deviations above the anchored VWAP) provide a clear visual framework to assess whether price is in a fair value zone (±1σ), moderately extended (+2σ), or in zones of extreme extension (+3σ to +5σ). The indicator also highlights contextual divergence signals, including slope deceleration, weak-volume retests, and deviation failures—giving you actionable confluence around potential reversal points.
Because the anchor updates dynamically, this tool is particularly well suited for trend-following assets like BTC or stocks in sustained moves, where price rarely returns to deep negative deviation zones. For this reason, the indicator focuses on upside extension rather than symmetrical reversion to a long-term mean.
🎯 Key Features
✅ Dynamic Swing Low Anchoring
Continuously re-anchors VWAP to the most recent swing low based on your chosen lookback period.
Provides context for trend progression and overextension relative to structural lows.
✅ Standard Deviation Bands
Plots up to +5σ deviation bands to visualize levels of overextension.
Extended bands (+3σ to +5σ) can be toggled for simplicity.
✅ Conditional Zone Fills
Colored background fills show when price is inside each valuation zone.
Helps you immediately see if price is in fair value, moderately extended, or highly stretched territory.
✅ Divergence Detection
VWAP Slope Divergence: Flags when price makes a higher high but VWAP slope decelerates.
Low Volume Retest: Highlights weak re-tests of VWAP on low volume.
Deviation Failure: Identifies when price reverts back inside +1σ after closing beyond +3σ.
✅ Volume Fallback
If volume is unavailable, uses high-low range as a proxy.
✅ Highly Customizable
Adjust lookbacks, show/hide extended bands, toggle fills, and enable or disable divergences.
🛠️ How to Use
Identify Buy and Sell Zones
Price in the fair value band (±1σ) suggests equilibrium.
Reaching +2σ to +3σ signals increasing overextension and potential areas to take profits.
+4σ to +5σ zones can be used to watch for exhaustion or mean-reversion setups.
Monitor Divergence Signals
Use slope divergence and deviation failures to look for confluence with overextension.
Low volume retests can flag rallies lacking conviction.
Adapt Swing Lookback
30–50 bars: Faster re-anchoring for swing trading.
75–100 bars: More stable anchors for longer-term trends.
🧭 Best Practices
Combine the anchored VWAP with higher timeframe structure.
Confirm signals with other tools (momentum, volume profiles, or trend filters).
Use extended deviation zones as context, not as standalone signals.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security or asset. Always do your own research and consult a qualified financial professional before making any trading decisions. Past performance does not guarantee future results.
HEMA Trend by Rostek (Filters + ATR + RR) For testing by anyone. Enjoy! :)
HEMA Trend Levels with Gradient, ATR-based SL & TP, HTF Filter, and R/R Statistics
This advanced indicator is designed to help you detect high-quality trend crossovers using HEMA (Hull Exponential Moving Average) smoothing logic. It integrates dynamic visualization, strong multi-layer filters, and risk management levels — all in one package.
✅ Core Concept
The indicator plots two HEMAs (fast and slow), with a gradient fill between them that dynamically changes color based on the trend direction. Crossovers between these HEMAs generate potential trade signals (long or short).
🎨 Key Visual Features
Smooth gradient fill area between fast and slow HEMA.
Dynamic arrows marking crossover points (precisely above/below HEMA cross).
Optional ATR-based Stop Loss (SL) and Take Profit (TP) levels shown as dashed lines with labels.
Automatic display of calculated Risk/Reward (R/R) ratio next to TP level.
⚙️ Powerful Filters
You can enable/disable each of these filters individually:
✅ EMA Filter — Confirm signals only when the price is above/below a selected EMA (default: 100).
✅ ADX Filter — Confirms signals only if ADX value exceeds a set threshold (default: 20).
✅ RSI Filter — Filter signals based on RSI value (e.g., >50 for longs, <50 for shorts).
✅ Higher Time Frame (HTF) EMA Filter — Only take signals aligned with a higher timeframe EMA trend (e.g., daily EMA 100).
📏 Risk Management Features
ATR-based Stop Loss (SL): Dynamic stop level calculated using ATR, configurable multiplier (e.g., 1.5 × ATR).
ATR-based Take Profit (TP): Dynamic take profit level based on ATR, configurable multiplier (e.g., 3 × ATR).
Risk/Reward Statistics: Calculates and displays R/R ratio on the chart to help visually evaluate trade setups.
🔔 Alerts
A single unified alert condition for both long and short filtered signals, making it easy to set up TradingView alerts.
⚡ Usage Tips
Adjust HEMA lengths (default: 20 & 40) to tune responsiveness.
Enable/disable filters depending on your strategy and market conditions.
Fine-tune ATR multipliers for SL/TP based on your risk tolerance.
Use HTF filter to trade only in the direction of the main higher timeframe trend.
✅ Ideal for
Trend-following traders who want smoothed entries.
Traders looking for integrated visual risk management levels.
Users who want precise, customizable signals with strong filtering logic.
Omori Law Recovery PhasesWhat is the Omori Law?
Originally a seismological model, the Omori Law describes how earthquake aftershocks decay over time. It follows a power law relationship: the frequency of aftershocks decreases roughly proportionally to 1/(t+c)^p, where:
t = time since the main shock
c = time offset constant
p = power law exponent (typically around 1.0)
Application to the markets
Financial markets experience "aftershocks" similar to earthquakes:
Market Crashes as Main Shocks: Major market declines (crashes) represent the initial shock event.
Volatility Decay: After a crash, market volatility typically declines following a power law pattern rather than a linear or exponential one.
Behavioral Components: The decay pattern reflects collective market psychology - initial panic gives way to uncertainty, then stabilization, and finally normalization.
The Four Recovery Phases
The Omori decay pattern in markets can be divided into distinct phases:
Acute Phase: Immediately after the crash, characterized by extreme volatility, panic selling, and sharp reversals. Trading is hazardous.
Reaction Phase: Volatility begins decreasing, but markets test previous levels. False rallies and retests of lows are common.
Repair Phase: Structure returns to the market. Volatility approaches normal levels, and traditional technical analysis becomes more reliable.
Recovery Phase: The final stage where market behavior normalizes completely. The impact of the original shock has fully decayed.
Why It Matters for Traders
Understanding where the market stands in this recovery cycle provides valuable context:
Risk Management: Adjust position sizing based on the current phase
Strategy Selection: Different strategies work in different phases
Psychological Preparation: Know what to expect based on the phase
Time Horizon Guidance: Each phase suggests appropriate time frames for trading
محدد الأوقات المطور جداً v6
Determine the candle times at any hour you want. If the strategy you are working on is CRT, specify the 4-hour frame and choose the time 1-5-9.
9AM–11AM NAS100 Session Box//@version=5
indicator("9AM–11AM NAS100 Session Box", overlay=true)
// Define session times in New York (EST)
session_start = timestamp("America/New_York", year, month, dayofmonth, 09, 0)
session_end = timestamp("America/New_York", year, month, dayofmonth, 11, 0)
// Detect if we're inside the session window
in_session = (time >= session_start) and (time < session_end)
// Track high/low of the session
var float session_high = na
var float session_low = na
if (in_session)
session_high := na(session_high) ? high : math.max(session_high, high)
session_low := na(session_low) ? low : math.min(session_low, low)
else
session_high := na
session_low := na
// Draw the session box
bgcolor(in_session ? color.new(color.blue, 85) : na)
// Optionally draw lines at session high/low
plot(in_session ? session_high : na, title="Session High", color=color.green, linewidth=1)
plot(in_session ? session_low : na, title="Session Low", color=color.red, linewidth=1)
Custom Signal v1 - Ivan - Strict One Arrowtrend following indicator, do buy or sell with m15 chart on xau/usd
Modüler Trailing Stop (Doğru Ölçekli)
📌 Modular Trailing Stop – Advanced Risk Management for Long & Short Strategies
Modular Trailing Stop is a dual-direction stop management tool that calculates independent stop levels for long and short positions. It is fully scale-adjusted, strategy-agnostic, and optimized for TradingView integration.
🚀 Key Features
🔹 Dual-Side Stop Logic
Separate Ref High and Stop levels for long and short trades, allowing precise and directional control.
🔹 Modular Architecture
Designed to be easily integrated into any indicator or strategy. Operates independently from entry signals.
🔹 Accurate Price Scaling
Automatically adjusts to symbol tick size using syminfo.mintick, ensuring precision across all markets (BTCUSD, ETHUSD, USDTRY...).
🔹 Static Trailing Logic
Once a position is opened, stop levels are anchored to a fixed reference price and adjusted by ATR volatility.
🔹 User-Configurable
- Customizable ATR period and multiplier
- Manual reference high percentages for long and short
- Real-time table display on the chart with key values
⚙️ Calculation Formulas
- Ref High (Long) = Base Price × (1 + %Offset) × scaleFix
- Ref High (Short) = Base Price × (1 - %Offset) × scaleFix
- Step = ATR × Multiplier
- Long Stop = Ref High (Long) – Step
- Short Stop = Ref High (Short) + Step
📈 Use Cases
- Volatility-based static stop-loss framework
- Compatible with RSI, EMA crossover, breakout, and custom signal systems
- Backtesting via TradingView Strategy Tester (WinRate, Sharpe, AvgPnL...)
🧪 Example Backtest (BTCUSDT, 4H Timeframe)
- Win Rate: 41.9%
- Sharpe Ratio: 0.27
- Profit Factor: 1.31
- Avg Trade Duration: 18 bars
- Test Strategy: RSI-based entries + modular trailing stops
🧩 Strategy Integration (Sample)
strategy.exit("Long Exit", from_entry="Long", stop=longStop)
strategy.exit("Short Exit", from_entry="Short", stop=shortStop)
🏁 Summary
Modular Trailing Stop is a robust and intuitive stop-loss management tool. It can be used as a standalone module or combined with any strategy for improved position handling, effective drawdown control, and systematic risk management.
Whether you're building strategies or optimizing entries and exits, this tool brings precision and modular flexibility to your trading workflow.
Prosignal SMCProSignal SMC is an advanced AI-powered trading system built around institutional-grade Smart Money Concepts (SMC). Designed for serious traders, our proprietary model identifies market structure, liquidity zones, and key reversal points with pinpoint accuracy—without relying on traditional lagging indicators.
Leveraging deep market insights and real-time price action, ProSignal SMC detects true:
Break of Structure (BOS)
Change of Character (CHOCH)
Liquidity Sweeps
Premium & Discount Zones
Order Blocks and Mitigation Areas
All signals are generated with strict risk management rules, maintaining a low drawdown profile while aiming for consistent monthly gains. Whether you're trading Forex, indices, or metals, ProSignal SMC aligns with institutional footprints—giving you the edge retail traders miss.
Alpha Trader University - London Continuation StrategyAlpha Trader University - London Continuation Strategy Indicator
OVERVIEW:
This educational indicator implements the London Continuation Strategy, a session-based trading methodology that capitalizes on price continuation patterns between the Asia and London trading sessions. Designed to teach traders about session timing, market structure, and continuation strategies.
STRATEGY METHODOLOGY:
The London Continuation Strategy is based on the market principle that directional movements established during the Asia session often continue during the early London session, creating high-probability trading opportunities.
SESSION ANALYSIS FRAMEWORK:
1. ASIA SESSION (4:00-9:00 Dubai Time):
- Establishes initial market direction and sentiment
- Creates key support and resistance levels
- Provides the foundation for continuation bias
- Blue box visualization with range tracking
2. PRE-LONDON SESSION (9:00-11:00 Dubai Time):
- Transition period between major sessions
- Setup and preparation phase for London entries
- Confirmation or negation of Asia session bias
- Teal box visualization for monitoring
3. LONDON SESSION (11:00-12:00 Dubai Time):
- Primary entry window for continuation trades
- Highest probability period for strategy execution
- Green box labeled "Entry Window" for clear identification
- Optimal timing for trade execution
EDUCATIONAL VALUE:
- Learn session-based trading concepts and timing
- Understand market flow between major trading centers
- Develop skills in identifying continuation patterns
- Practice using session ranges for risk management
- Build foundation for advanced session strategies
TRADING APPLICATIONS:
- Entry Timing: Use London session start for optimal entry points
- Direction Bias: Follow Asia session directional momentum
- Risk Management: Utilize session ranges for stop-loss placement
- Target Setting: Project targets based on session volatility patterns
- Market Structure: Respect key session levels and range breaks
UNIQUE FEATURES:
- Dubai timezone optimization for Middle East traders
- Three-session comprehensive analysis framework
- Real-time session range tracking and visualization
- Customizable visual elements and colors
- Educational labels and clear entry window identification
TECHNICAL IMPLEMENTATION:
- Accurate timezone conversion (UTC to Dubai time)
- Dynamic session detection and range calculation
- Real-time box and label updates during active sessions
- Clean visual design with professional color coding
- Efficient memory management for optimal performance
CUSTOMIZATION OPTIONS:
- Session colors for personal preference
- Box border width adjustment
- Label size customization
- Visual element toggle capabilities
RISK MANAGEMENT INTEGRATION:
- Session range-based stop-loss guidance
- Volatility assessment through range analysis
- Clear entry and exit timing signals
- Structure-based risk parameter definition
This indicator transforms complex session analysis into a systematic, visual trading approach, helping traders understand market timing and develop disciplined continuation strategies.
EDUCATIONAL DISCLAIMER: This indicator is designed for educational purposes and strategy development. It should be used as part of a comprehensive trading plan with proper risk management. Past performance of any strategy does not guarantee future results. Always practice proper risk management and consider market conditions before trading.
Alpha Trader University - Average Session VolatilityAlpha Trader University - Average Session Volatility Indicator
OVERVIEW:
This educational indicator calculates and displays the average volatility (price range) of the New York trading session over a customizable lookback period. Designed to help traders understand typical market movement patterns and make informed risk management decisions.
METHODOLOGY:
The indicator employs a systematic approach to volatility measurement:
1. SESSION IDENTIFICATION:
- Automatically detects New York trading session boundaries
- Default timing: 13:30-20:30 UTC (19:00-02:00 IST)
- Customizable session times for different markets or preferences
- Accurate timezone handling for global trading
2. RANGE CALCULATION:
- Records high-low range for each completed session
- Maintains rolling database of recent session ranges
- Calculates statistical average over specified lookback period
- Real-time tracking of current session development
3. VOLATILITY ANALYSIS:
- Orange line: Average session volatility over past sessions
- Blue dots: Current session range development
- Comparative analysis between current and historical volatility
EDUCATIONAL VALUE:
- Learn to assess market volatility objectively
- Understand the importance of volatility in trading decisions
- Develop skills in risk management and position sizing
- Build foundation for volatility-based trading strategies
TRADING APPLICATIONS:
- Position Sizing: Adjust trade size based on expected volatility
- Risk Management: Set appropriate stop-loss levels using average range
- Profit Targets: Align target expectations with typical session movement
- Market Timing: Identify high/low volatility periods for strategy selection
- Session Analysis: Compare different trading sessions' characteristics
UNIQUE FEATURES:
- Customizable session times and lookback periods
- Real-time current session tracking
- Statistical approach using rolling averages
- Clean visual representation with dual-line display
- Educational tooltips explaining each parameter
SETTINGS:
- Session Times: Fully customizable start/end hours and minutes
- Lookback Period: Adjustable number of sessions for average calculation (1-50)
- Visual Options: Toggle between different display modes
- Timezone Support: UTC-based calculations for global accuracy
PRACTICAL APPLICATIONS:
- Forex Trading: Optimize for major session overlaps
- Stock Trading: Adapt for market hours in different regions
- Cryptocurrency: 24/7 market session analysis
- Risk Assessment: Quantify expected price movement ranges
This indicator transforms complex volatility concepts into actionable trading intelligence, helping traders make more informed decisions based on statistical market behavior patterns.
EDUCATIONAL DISCLAIMER: This indicator is designed for educational purposes and volatility analysis. It should be used as part of a comprehensive trading strategy with proper risk management. Historical volatility patterns do not guarantee future market behavior.
Option Auto Anchored VWAPThis indicator automatically shows two Anchored VWAP lines.
The first gets placed on the very first candle of the chart.
The second is set on the last or current day you select in the settings.
Alpha Trader University - Market Structure AnalysisAlpha Trader University - Market Structure Analysis Indicator
EDUCATIONAL OVERVIEW:
This comprehensive indicator teaches traders professional market structure analysis through two proven methodologies: Fractal Analysis and Pivot Point Structure Tracking. Designed for educational purposes to help traders understand price action and market psychology.
CORE METHODOLOGY:
1. FRACTAL ANALYSIS (Bill Williams Approach):
- Identifies swing highs and lows using 3-bar or 5-bar patterns
- 3-bar fractals: More sensitive, catches smaller swings
- 5-bar fractals: More conservative, higher probability signals
- Visual markers help identify key support/resistance levels
2. MARKET STRUCTURE TRACKING:
- Automatically identifies Higher Highs (HH), Lower Highs (LH), Lower Lows (LL), Higher Lows (HL)
- Color-coded labels for easy trend identification
- Customizable pivot detection sensitivity
- Real-time structure classification
EDUCATIONAL VALUE:
- Learn to identify trend direction through structure analysis
- Understand the psychology behind market movements
- Develop skills in reading price action patterns
- Build foundation for advanced trading strategies
TRADING APPLICATIONS:
- Trend Identification: HH+HL = Uptrend, LH+LL = Downtrend
- Entry Timing: Enter after structure confirmation
- Stop Loss Placement: Use fractal levels for risk management
- Confluence Trading: Combine with other technical analysis tools
UNIQUE FEATURES:
- Dual analysis approach (Fractals + Structure)
- Educational tooltips and guidance
- Customizable sensitivity settings
- Professional color-coding system
- Clean, non-cluttered visual design
SETTINGS EXPLANATION:
- Fractal Sensitivity: Choose between 3-bar (sensitive) or 5-bar (conservative)
- Structure Labels: Toggle HH/LH/LL/HL display
- Pivot Settings: Adjust left/right bars for confirmation
- Color Customization: Personalize visual appearance
This indicator combines classical technical analysis principles with modern Pine Script efficiency, providing traders with essential market structure identification tools for educational and analytical purposes.
DISCLAIMER: This indicator is for educational purposes. Always combine with proper risk management and additional analysis before making trading decisions.
Nifty Option Auto Anchored VWAPThis indicator automatically shows two Anchored VWAP lines.
The first gets placed on the very first candle of the chart.
The second is set on the last or current day you select in the settings.
Index Option Auto Anchored VWAPThis Indicator will plot two Anchored VWAP Automatically
1. First Anchor on First Candle of the Chart
2. Second Anchor on Last or Current Friday
BTCUSD 5m Aggressive Buy/Sell Signals v2 with AlertsThis indicator highlights potential buy and sell opportunities on the BTCUSD 5-minute chart. It plots visual signals on the chart and includes optional TradingView alerts for fast notifications.
Key features:
- Aggressive scalp-style signals
- 5-minute timeframe focus
- Simple and clean logic with clear markers
- Integrated alerts for buy and sell triggers
⚠️ Disclaimer: This script is for educational and informational purposes only. It is not financial advice. Use at your own risk and always manage your positions responsibly.
BTC VWAP + EMA | Signal + Trailing ExitHello Everyone, this Indicator works only on futures and 15mins time frame.
VWAP + EMA-based signal tool with basic volatility filtering and trailing exit logic.
All the best :)
Mr Zinc Strat [MMT]Mr Zinc Strat Indicator
This script is inspired by Mr Zinc strategy. Big shoutout to him.
HOW IT WORKS
This script tracks 2 sessions: previous day range from 4AM-5PM EST and current day London session from 4AM-9:15AM EST. The time is taken from his Youtube video .
It then draws out the session line high, low, and the EQ, which then automates the process of drawing individual session. An anchor line is also drawn out when the RTH (9:30AM-4PM EST) begins.
HOW YOU CAN USE IT
Please go over his Youtube video for in-depth strategy.
