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
IU Fibonacci Levels For IntradayDESCRIPTION
This indicator draws intraday Fibonacci levels from the opening price of the day using percentage-based retracements. It helps traders identify potential intraday support and resistance zones derived from the day’s opening bias. The levels are dynamically calculated and displayed with optional labels and customizable colors, making it an effective tool for both breakout and mean-reversion intraday strategies.
USER INPUTS
Direction Of The Level
Choose whether to show Upside, Downside, or Both level sets based on your directional bias.
Show Labels of Levels
Option to enable or disable text labels displaying Fibonacci values and prices.
Individual Level Toggles & Colors
You can choose to show or hide each of the following Fibonacci levels and set their respective colors:
* 0.236
* 0.328
* 0.500
* 0.618
* 0.786
* 1.000
INDICATOR LOGIC
On the first bar of the session, the opening price is captured.
Fibonacci levels are then calculated above and below this open using percentage multipliers (for example, day\_open + (day\_open \* 0.236%) for the 0.236 level).
Depending on the selected direction, upside and/or downside levels are plotted.
Filled zones are drawn between levels to visually highlight key price zones.
Optionally, each level can be labeled with its Fibonacci value and price.
WHY IT IS UNIQUE
Unlike traditional swing-based Fibonacci retracements, this tool uses the day’s opening price as an anchor, specifically designed for intraday traders.
Allows traders to quickly visualize micro-support and resistance levels that adapt every day.
Highly customizable and easy to read, with filled level bands for better zone recognition.
Works independently of indicators like RSI, MACD, or moving averages – purely based on price action logic.
HOW USER CAN BENEFIT FROM IT
Spot precise intraday reversal zones or breakout regions.
Combine with price action or volume analysis for smarter entries.
Filter trades by choosing directional bias (Up Site, Down Site, or Both).
Set profit targets or stop-losses based on Fibonacci bands.
Works great for scalpers, day traders, and even short-term swing traders looking to align with opening price momentum.
Disclaimer
This indicator is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
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
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.
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
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)
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
My Strategy: Uptrend Pullback ScreenerUptrend Pullback Screener. this will filter the stock who is in uptrend and ready to pullback from support.
Normalized EMA Cycle (NEC)Normalized EMA Cycle (NEC)
The Normalized EMA Cycle (NEC) is a versatile momentum and trend reversal tool designed to detect high-probability turning points and gauge the strength of price cycles.
It combines fast and slow Exponential Moving Averages (EMAs), dynamic normalization, and adaptive transparency to create clear, intuitive reversal signals on the chart.
🔹 How It Works
EMA Differencing
The NEC calculates the difference between a fast EMA and a slower EMA:
Fast EMA Length (default 6) captures short-term momentum.
Slow EMA Length (default 16) tracks broader trends.
The slope of this difference identifies accelerating or decelerating momentum.
Normalization to 0–100 Scale
The raw EMA difference is scaled relative to the recent Alpha Period range (default 6 bars).
This transforms the value into a normalized oscillator ranging between 0 and 100.
A 3-period Hull Moving Average (HMA) smooths this series to reduce noise.
Overbought and Oversold Thresholds
By default:
Overbought Level: 75
Oversold Level: 25
Crossovers of these levels are used to detect potential reversals.
Adaptive Alpha Adjustment
The normalized value is transformed into an “Alpha Schaff” line, dynamically shifting between price and normalized cycles.
This helps the model adjust to different volatility regimes.
Trend Reversal Logic
Bullish Reversal:
Normalized oscillator crosses above the Oversold Level.
EMA difference slope is positive.
Bearish Reversal:
Normalized oscillator crosses below the Overbought Level.
EMA difference slope is negative.
Additional confirmation comes when price crosses the Alpha Schaff line in the direction of momentum.
Dynamic Confidence Visualization
The indicator calculates a trend confidence score based on the normalized separation of the EMAs.
The transparency of reversal markers dynamically adjusts:
Strong trends = more opaque signals
Weak trends = more transparent signals
🔹 How to Use
✅ Entries
Long Signal: Aqua upward label appears below a bar.
Conditions:
Bullish reversal or price crossing above Alpha Schaff
Normalized slope is rising
Short Signal: Fuchsia downward label appears above a bar.
Conditions:
Bearish reversal or price crossing below Alpha Schaff
Normalized slope is falling
✅ Trend Strength
The less transparent the signal marker, the more significant the trend.
✅ Customization
Use the inputs to fine-tune sensitivity:
Shorter EMAs: Faster signals
Longer EMAs: Smoother trends
Alpha Period: Adjusts the lookback range for normalization
🟢 Best Practices
NEC is best used in combination with other trend confirmation tools (e.g., price structure, volume, or higher timeframe EMAs).
Avoid relying on signals in extremely low-volume or choppy ranges.
⚠️ Disclaimer
This script is intended for educational purposes only and does not constitute financial advice. Trading involves substantial risk, and you should consult your financial advisor before making any investment decisions.
Turtle Trading Strategy (Simplified)This TradingView script is a powerful implementation of the classic Turtle Trading strategy, designed to help traders capitalize on significant market trends. Built using Pine Script, it can function as an indicator to highlight the specific entry and exit signals derived from the Turtle rules, or as a fully automated strategy to execute trades based on these signals. Users can fine-tune critical parameters like the lookback periods for breakouts and exits, enabling them to adapt the strategy to different market conditions and asset classes. The script leverages Pine Script's robust capabilities to accurately calculate and display the Turtle System's core logic, including position sizing based on volatility (ATR), providing a clear and systematic approach to trend-following directly on their TradingView charts.
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.
Custom Signal v1 - Ivan - Strict One Arrowtrend following indicator, do buy or sell with m15 chart on xau/usd
JAN - OCT [old] Engulfing Pattern Strategyold engulfing that is bad and shouldnt be used and if you do use it, then proceed at your own pearl. and i have to keep making this description longer other it wont publish which is annoying so this is just words to make the description longer so i can publish
JIYANS FVGJIYAN'S FVG is a powerful Fair Value Gap (FVG) indicator designed to help traders visually identify and track bullish and bearish imbalances across customizable timeframes. The script automatically detects FVGs based on market structure and plots them with shaded boxes and clear boundary lines on the chart.
Key Features:
Multi-Timeframe Detection: Select your preferred timeframe for FVG detection (e.g., H4, H1, M30).
Visual Clarity: Displays shaded gaps with customizable colors, upper and lower boundary lines, and optional midpoint lines for precise reference.
Dynamic Management: Automatically removes mitigated (filled) gaps to keep the chart clean and focused.
Labeling: Annotates each FVG with the selected timeframe for easy tracking.
Alerts: Built-in alerts notify you when a new FVG forms or when price touches the boundary of an existing unmitigated FVG.
This tool is perfect for traders who rely on price imbalances and fair value gaps to identify potential trading opportunities and key areas of interest.
ETF Leverage VerificationDo leveraged ETFs really return what they promise?
Do they return the exact 2x or 3x? Or a slightly different multiple?
How much do they deviate from the promised leverage multiples?
Do these deviations impact investors in a positive or negative manner?
These are the questions that I want to answer with this indicator.
The ETF Leverage Verification indicator challenges the conventional understanding of leveraged ETFs by measuring how they actually perform versus their theoretical targets.
Instead of assuming leveraged ETFs perfectly track their target multiple, this indicator quantifies the real-world behavior by comparing the expected returns versus the actual results on every trading day.
Key Features
Measures actual versus expected performance of leveraged ETFs
Tracks deviation patterns across thousands of trading days
Identifies asymmetric behavior in up versus down markets
Quantifies beneficial "cushioning effect" during market declines
Provides statistical summary of performance patterns
Works with any leverage factor (2x, 3x, -1x, etc.)
Compatible with all leveraged ETFs (equity, bond, commodity, volatility)
How to Use the Indicator
Enter the Expected Leverage Factor (default: 2.0)
Select the Base Asset (underlying index, e.g., SPX)
Select the Leveraged Asset (leveraged ETF, e.g., SSO)
Understanding the Results
Green markers: Days when the ETF outperformed its expected multiple
Red markers: Days when the ETF underperformed its expected multiple
Data Table:
Positive Deviations: Count of days with better-than-expected performance
Negative Deviations: Count of days with worse-than-expected performance
Avg Deviation: Average magnitude of deviation from expected returns
Frequency Skew: Difference between beneficial deviations in down vs. up markets
Impact: Overall assessment of pattern benefit to investors
Summary Label:
Percentage of positive deviations in up and down markets
Total sample size for statistical significance
Key Patterns to Look For
Positive Deviation in Negative Days:
This occurs when a leveraged ETF falls less than expected during market declines. For example, if SPX falls 1% and a 2x ETF falls only 1.8% (instead of the expected 2%), this creates a +0.2% deviation. This pattern is beneficial as it provides downside protection.
Negative Deviation in Positive Days:
This happens when a leveraged ETF rises less than expected during market advances. For example, if SPX rises 1% and a 2x ETF rises only 1.9% (instead of the expected 2%), this creates a -0.1% deviation. This pattern reduces upside performance.
Frequency Skew:
The most critical metric that measures how much more frequently beneficial deviations occur in down markets compared to up markets. A higher positive skew indicates a stronger asymmetric pattern that helps long-term performance.
Mathematical Background
The indicator computes the deviation between expected and actual performance:
Deviation = Actual Return - Expected Return
Where:
Expected Return = Base Asset Return × Leverage Factor
The deviation is then categorized into four possible outcomes:
Positive deviation on positive market days
Negative deviation on positive market days
Positive deviation on negative market days
Negative deviation on negative market days
In short, more positive deviations are good for investors.
Please feel free to criticize. I'm happy to improve the indicator.
Weinstein Stage Analysis HelperA helper script to visualize the Weinstein Stages intuitively along with other factors like
- Relative Strength
- Volume (On Balance Volume)
- RoE
- P/E
- Growth Rate
- EPS Growth Rate
WMA cross with filtered Signals [Dr.K.C.Prakash]WMA cross with filtered Signals
📌 Description
This indicator is designed to generate trend-filtered Buy and Sell signals based on the crossover of two Weighted Moving Averages (WMAs), with confirmation from a long-term EMA trend filter.
It helps traders avoid false signals in choppy markets by trading only in the direction of the broader trend.
✅ Features
Fast WMA (?) and Slow WMA (?)
Core crossover logic for detecting local trend shifts.
EMA Trend Filter (?)
Confirms overall trend direction.
Buy signals only occur when price is above the EMA ? (uptrend).
Sell signals only occur when price is below the EMA ? (downtrend).
Signal Markers on Chart
BUY label below bar for valid bullish crossovers.
SELL label above bar for valid bearish crossunders.
EMA 200 Line
Clearly plotted to visualize the trend filter level.
Customizable Length Inputs
Users can adjust Fast WMA, Slow WMA, and EMA filter length.
Lines for both WMAs and the EMA trend filter.
Signal labels on valid Buy/Sell events.
✅ Use Cases
Trend-following traders who want cleaner entries.
Avoiding counter-trend signals.
Works on any timeframe (but EMA 200 is best for larger trend context).
DTC AIO [India]✨ DTC AIO — The Ultimate All-in-One Market Intelligence Suite
DTC AIO isn’t just another indicator—it’s a complete market intelligence dashboard, purpose-built for Indian equities. Designed for traders who demand more than just signals, DTC AIO fuses professional-grade analytics, pattern recognition, and actionable insights into a single, visually stunning overlay.
✨ What Makes DTC AIO Unique?
All-in-One Dashboard: No more juggling multiple indicators. DTC AIO brings together volatility, volume, trend, momentum, pattern recognition, and even earnings data—right on your chart.
Dynamic Visuals: Modern, theme-adaptive tables and color-coded highlights make complex data instantly readable, whether you prefer dark or light mode.
Pattern Powerhouse: Go beyond the basics with advanced pattern detection—mini-coils, inside bars (with candle coloring!), pocket pivots, and strict shakeout logic.
Burst Ranker: Proprietary “Power Gauge” quantifies explosive price action (+5%, +10%, +17% days) and visualizes it with a unique scoring system.
Earnings Intelligence: See quarterly EPS and sales, with YoY and optional QoQ growth, in a clean, auto-updating table—no more hunting for fundamentals.
Sector/Industry Awareness: Instantly know the context of any stock with sector and industry tags, right on your chart.
Customizable Everything: From moving average types to table positions and text sizes, DTC AIO adapts to your workflow.
🚀 Feature Highlights
Main Metrics Table: ADR%, Relative Volume, 50D Avg Volume, U/D Ratio, and RS vs. custom benchmarks.
Momentum Table: See price distance from key EMAs and 52-week highs/lows, color-coded for clarity.
Pattern Recognition: Mini-coil, inside bar (with painted colored bar), pocket pivot, and shakeout detection—each with visual cues.
Burst Ranker Table: Track and score high-momentum days over your chosen lookback period.
Earnings & Sales Table: Quarterly EPS and sales, YoY and optional QoQ growth, all in one place.
Sector/Industry Table: Know the bigger picture at a glance.
🛠️ Built for the Demanding Trader
DTC AIO is engineered for those who want a true edge—combining technical, fundamental, and behavioral analytics in a single, elegant package. Whether you’re scanning for breakouts, tracking momentum, or analyzing earnings, DTC AIO is your all-in-one solution.
Ready to level up your trading? Add DTC AIO to your chart and experience the difference.
Tuga SupertrendDescription
This strategy uses the Supertrend indicator enhanced with commission and slippage filters to capture trends on the daily chart. It’s designed to work on any asset but is especially effective in markets with consistent movements.
Use the date inputs to set the backtest period (default: from January 1, 2018, through today, June 30, 2025).
The default input values are optimized for the daily chart. For other timeframes, adjust the parameters to suit the asset you’re testing.
Release Notes
June 30, 2025
• Updated default backtest period to end on June 30, 2025.
• Default commission adjusted to 0.1 %.
• Slippage set to 3 ticks.
• Default slippage set to 3 ticks.
• Simplified the strategy name to “Tuga Supertrend”.
Default Parameters
Parameter Default Value
Supertrend Period 10
Multiplier (Factor) 3
Commission 0.1 %
Slippage 3 ticks
Start Date January 1, 2018
End Date June 30, 2025
