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
TTNY - CISD modelfirst version.
This indicator takes an user time and price input to start tracking CISD entry models. The use is quite straightforward I believe.
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.
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
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.
SD Levels"SD Levels", is a powerful tool for technical analysis that automatically calculates and plots key price levels based on the price action within a user-defined time range. It functions by identifying a specific trading session, calculating the midpoint and half the range of that session's price action, and then using these values as a baseline and a standard deviation equivalent to project a series of customizable Fibonacci-style levels into the future.
These projected levels can act as potential support and resistance zones, helping traders identify significant price areas where the market might react. The indicator is highly customizable, allowing users to tailor its functionality and appearance to their specific trading strategies.
Key Features
• User-Defined Time Range: You can specify a particular time window (e.g., the first three hours of the New York session) and a corresponding timezone. The indicator will base all its calculations on the high, low, and closing prices within this defined period each day.
• Standard Deviation-Based Levels: The core of the indicator is its use of a "standard deviation" value, which is calculated as half the range (High - Low) of the specified session. The baseline, or "0" level, is the midpoint of this range.
• Customizable Fibonacci Levels: The script allows for the plotting of up to 11 distinct levels, each defined by a multiplier of the calculated standard deviation. Users have complete control over:
o The level's multiplier value.
o Whether the level is displayed.
o The color, style (solid, dashed, dotted), and thickness of the level line.
o The option to display a text label for each level.
• Mirrored Levels: An option is available to automatically "mirror" each level on the opposite side of the baseline. For example, if you have a level at 1.5 standard deviations above the baseline, enabling the mirror function will also plot a corresponding level at -1.5 standard deviations below it.
• Visual Customization: Beyond individual line styles, you can adjust the overall appearance of the levels, including:
o Adding a transparent background fill between the levels to enhance visibility.
o Adjusting the padding (extension) of the level lines to the right of the chart.
o Controlling the size of the labels and choosing to display the level value, the price value, or both.
• Historical Analysis: The indicator can display these calculated levels for a user-specified number of previous days, allowing for back-testing and analysis of how price has historically interacted with these zones.
How It Works
1. Session Identification: The indicator first identifies the bars on the chart that fall within the user-defined Range Time and Timezone.
2. Range Calculation: During this identified session, it records the highest high and the lowest low.
3. Baseline and Deviation Calculation: At the end of the session, it calculates two critical values:
o Baseline: The midpoint of the session's range, calculated as (range_high + range_low) / 2. This serves as the 0 level.
o Standard Deviation Value: Half of the session's total range, calculated as (range_high - range_low) / 2.
4. Level Plotting: Using the baseline and the standard deviation value, the indicator calculates and plots the various user-defined Fibonacci levels. For instance, a level with a multiplier of 2.0 would be plotted at baseline + (2 * stdev_val).
5. Drawing and Extension: The calculated levels are drawn starting from the beginning of the session and are extended forward in time, updating with each new bar. This allows traders to see how the current price is interacting with the levels derived from the earlier session.
In essence, the "SD Levels" indicator provides a structured and automated way to identify and visualize significant, data-driven price levels based on the volatility and price action of a specific, important trading period.
