SR360 OSCILLATOR 2025Unlock deeper insights into momentum and trend strength with the SR360 Oscillator 2025, a high-precision dual-indicator system designed for traders focusing on NSE stocks.
🚀 Key Features:
🔹 GVR Oscillator (RSI on VWAP)
Identify powerful shifts in price momentum using a smart blend of RSI and VWAP — ideal for catching trend reversals and breakouts.
Dynamic coloring: 🔴 Overbought, 🟢 Oversold, 🔵 Neutral zones
🔹 Multi-Symbol Trend Table (Supertrend or EMA)
Stay ahead with a real-time trend dashboard for RELIANCE, SBIN, INFY, HDFCBANK, TCS, and more.
Choose your trend logic: Supertrend or EMA crossover
Custom watchlist + include current chart symbol
💼 Who’s It For?
Intraday & swing traders in the Indian equity markets
Analysts seeking clean, trend-verified setups
Anyone needing a reliable trend/momentum combo tool
Options
Position Size Calculator with Fees# Position Size Calculator with Portfolio Management - Manual
## Overview
The Position Size Calculator with Portfolio Management is an advanced Pine Script indicator designed to help traders calculate optimal position sizes based on their total portfolio value and risk management strategy. This tool automatically calculates your risk amount based on portfolio allocation percentages and determines the exact position size needed while accounting for trading fees.
## Key Features
- **Portfolio-Based Risk Management**: Calculates risk based on total portfolio value
- **Tiered Risk Allocation**: Separates trading allocation from total portfolio
- **Automatic Trade Direction Detection**: Determines long/short based on entry vs stop loss
- **Fee Integration**: Accounts for trading fees in position size calculations
- **Risk Factor Adjustment**: Allows scaling of position size up or down
- **Visual Display**: Shows all calculations in a clear, color-coded table
- **Automatic Risk Calculation**: No need to manually input risk amount
## Input Parameters
### Total Portfolio ($)
- **Purpose**: The total value of your investment portfolio
- **Default**: 0.0
- **Range**: Any positive value
- **Step**: 0.01
- **Example**: If your total portfolio is worth $100,000, enter 100000
### Trading Portfolio Allocation (%)
- **Purpose**: The percentage of your total portfolio allocated to active trading
- **Default**: 20.0%
- **Range**: 0.0% to 100.0%
- **Step**: 0.01
- **Example**: If you allocate 20% of your portfolio to trading, enter 20
### Risk from Trading (%)
- **Purpose**: The percentage of your trading allocation you're willing to risk per trade
- **Default**: 0.1%
- **Range**: Any positive value
- **Step**: 0.01
- **Example**: If you risk 0.1% of your trading allocation per trade, enter 0.1
### Entry Price ($)
- **Purpose**: The price at which you plan to enter the trade
- **Default**: 0.0
- **Range**: Any positive value
- **Step**: 0.01
### Stop Loss ($)
- **Purpose**: The price at which you will exit if the trade goes against you
- **Default**: 0.0
- **Range**: Any positive value
- **Step**: 0.01
### Risk Factor
- **Purpose**: A multiplier to scale your position size up or down
- **Default**: 1.0 (no scaling)
- **Range**: 0.0 to 10.0
- **Step**: 0.1
- **Examples**:
- 1.0 = Normal position size
- 2.0 = Double the position size
- 0.5 = Half the position size
### Fee (%)
- **Purpose**: The percentage fee charged per transaction
- **Default**: 0.01% (0.01)
- **Range**: 0.0% to 1.0%
- **Step**: 0.001
## How Risk Amount is Calculated
The script automatically calculates your risk amount using this formula:
```
Risk Amount = Total Portfolio × Trading Allocation (%) × Risk % ÷ 10,000
```
### Example Calculation:
- Total Portfolio: $100,000
- Trading Allocation: 20%
- Risk per Trade: 0.1%
**Risk Amount = $100,000 × 20 × 0.1 ÷ 10,000 = $20**
This means you would risk $20 per trade, which is 0.1% of your $20,000 trading allocation.
## Portfolio Structure Example
Let's say you have a $100,000 portfolio:
### Allocation Structure:
- **Total Portfolio**: $100,000
- **Trading Allocation (20%)**: $20,000
- **Long-term Investments (80%)**: $80,000
### Risk Management:
- **Risk per Trade (0.1% of trading)**: $20
- **Maximum trades at risk**: Could theoretically have 1,000 trades before risking entire trading allocation
## How Position Size is Calculated
### Trade Direction Detection
- **Long Trade**: Entry price > Stop loss price
- **Short Trade**: Entry price < Stop loss price
### Position Size Formulas
#### For Long Trades:
```
Position Size = -Risk Factor × Risk Amount / (Stop Loss × (1 - Fee) - Entry Price × (1 + Fee))
```
#### For Short Trades:
```
Position Size = -Risk Factor × Risk Amount / (Entry Price × (1 - Fee) - Stop Loss × (1 + Fee))
```
## Output Display
The indicator displays a comprehensive table with color-coded sections:
### Portfolio Information (Light Blue Background)
- **Portfolio (USD)**: Your total portfolio value
- **Trading Portfolio Allocation (%)**: Percentage allocated to trading
- **Risk as % of Trading**: Risk percentage per trade
### Trade Setup (Gray Background)
- **Entry Price**: Your specified entry price
- **Stop Loss**: Your specified stop loss price
- **Fee (%)**: Trading fee percentage
- **Risk Factor**: Position size multiplier
### Risk Analysis (Red Background)
- **Risk Amount**: Automatically calculated dollar risk
- **Effective Entry**: Actual entry cost including fees
- **Effective Exit**: Actual exit value including fees
- **Expected Loss**: Calculated loss if stop loss is hit
- **Deviation from Risk %**: Accuracy of risk calculation
### Final Result (Blue Background)
- **Position Size**: Number of shares/units to trade
## Usage Examples
### Example 1: Conservative Long Trade
- **Total Portfolio**: $50,000
- **Trading Allocation**: 15%
- **Risk per Trade**: 0.05%
- **Entry Price**: $25.00
- **Stop Loss**: $24.00
- **Risk Factor**: 1.0
- **Fee**: 0.01%
**Calculated Risk Amount**: $50,000 × 15% × 0.05% ÷ 100 = $3.75
### Example 2: Aggressive Short Trade
- **Total Portfolio**: $200,000
- **Trading Allocation**: 30%
- **Risk per Trade**: 0.2%
- **Entry Price**: $150.00
- **Stop Loss**: $155.00
- **Risk Factor**: 2.0
- **Fee**: 0.01%
**Calculated Risk Amount**: $200,000 × 30% × 0.2% ÷ 100 = $120
**Actual Risk**: $120 × 2.0 = $240 (due to risk factor)
## Color Coding System
- **Green/Red Header**: Trade direction (Long/Short)
- **Light Blue**: Portfolio management parameters
- **Gray**: Trade setup parameters
- **Red**: Risk-related calculations and results
- **Blue**: Final position size result
## Best Practices
### Portfolio Management
1. **Keep trading allocation reasonable** (typically 10-30% of total portfolio)
2. **Use conservative risk percentages** (0.05-0.2% per trade)
3. **Don't risk more than you can afford to lose**
### Risk Management
1. **Start with small risk factors** (1.0 or less) until comfortable
2. **Monitor your total exposure** across all open positions
3. **Adjust risk based on market conditions**
### Trade Execution
1. **Always validate calculations** before placing trades
2. **Account for slippage** in volatile markets
3. **Consider position size relative to liquidity**
## Risk Management Guidelines
### Conservative Approach
- Trading Allocation: 10-20%
- Risk per Trade: 0.05-0.1%
- Risk Factor: 0.5-1.0
### Moderate Approach
- Trading Allocation: 20-30%
- Risk per Trade: 0.1-0.15%
- Risk Factor: 1.0-1.5
### Aggressive Approach
- Trading Allocation: 30-40%
- Risk per Trade: 0.15-0.25%
- Risk Factor: 1.5-2.0
## Troubleshooting
### Common Issues
1. **Position Size shows 0**
- Verify all portfolio inputs are greater than 0
- Check that entry price differs from stop loss
- Ensure calculated risk amount is positive
2. **Very small position sizes**
- Increase risk percentage or risk factor
- Check if your risk amount is too small for the price difference
3. **Large risk deviation**
- Normal for very small positions
- Consider adjusting entry/stop loss levels
### Validation Checklist
- Total portfolio value is realistic
- Trading allocation percentage makes sense
- Risk percentage is conservative
- Entry and stop loss prices are valid
- Trade direction matches your intention
## Advanced Features
### Risk Factor Usage
- **Scaling up**: Use risk factors > 1.0 for high-confidence trades
- **Scaling down**: Use risk factors < 1.0 for uncertain trades
- **Never exceed**: Risk factors that would risk more than your comfort level
### Multiple Timeframe Analysis
- Use different risk factors for different timeframes
- Consider correlation between positions
- Adjust trading allocation based on market conditions
## Disclaimer
This tool is for educational and planning purposes only. Always verify calculations manually and consider market conditions, liquidity, and correlation between positions. The automated risk calculation assumes you're comfortable with the mathematical relationship between portfolio allocation and individual trade risk. Past performance doesn't guarantee future results, and all trading involves risk of loss.
MA Crossover Strategy with TP/SL (5 EMA Filter)How the Strategy Works on a 5-Minute Chart:
Data Input (5-Minute Candles):
Every single data point (candle) on your chart will represent 5 minutes of price action (Open, High, Low, Close for that 5-minute period).
All calculations (MAs, EMA, signals) will be based on these 5-minute price data points.
Moving Average Calculations:
Fast MA (10-period SMA): This will be the Simple Moving Average of the closing prices of the last 10 five-minute candles. It reacts relatively quickly to recent price changes.
Slow MA (30-period SMA): This will be the Simple Moving Average of the closing prices of the last 30 five-minute candles. It represents a slightly longer-term trend compared to the Fast MA.
5 EMA (5-period EMA): This is the Exponential Moving Average of the closing prices of the last 5 five-minute candles. Being an EMA, it gives more weight to the most recent 5-minute prices, making it very responsive to immediate price action.
Signal Generation (Entry Conditions):
Long Entry Signal:
The 10-period SMA crosses above the 30-period SMA (indicating a potential bullish shift in the short-to-medium term trend).
AND the current 5-minute candle's closing price is above the 5-period EMA (confirming that the immediate price momentum is also bullish and supporting the crossover).
If both conditions are met at the close of a 5-minute candle, a "Buy" signal is generated.
Short Entry Signal:
The 10-period SMA crosses below the 30-period SMA (indicating a potential bearish shift).
AND the current 5-minute candle's closing price is below the 5-period EMA (confirming immediate bearish momentum).
If both conditions are met at the close of a 5-minute candle, a "Sell" signal is generated.
Trade Execution:
When a signal is triggered, the strategy enters a trade (long or short) at the closing price of that 5-minute candle.
Immediately upon entry, it places two contingent orders:
Take Profit (Target): Set at 2% (by default) away from your entry price. For a long trade, it's 2% above; for a short trade, 2% below.
Stop Loss: Set at 1% (by default) away from your entry price. For a long trade, it's 1% below; for a short trade, 1% above.
The trade will remain open until either the Take Profit or Stop Loss price is hit by subsequent 5-minute candles.
Implications for Trading on a 5-Minute Chart:
Increased Trade Frequency: You will likely see many more signals and trades compared to higher timeframes (like 1-hour or daily charts). This means more potential opportunities but also more transaction costs (commissions, slippage).
Sensitivity to Noise: Lower timeframes are more prone to "market noise" – small, random price fluctuations that don't indicate a true trend. While the 5 EMA filter helps, some false signals might still occur.
Faster Price Action: Price movements can be very rapid on a 5-minute chart. Your take profit or stop loss levels might be hit very quickly, sometimes within the same or next few candles.
Parameter Optimization is Crucial: The default MA lengths (10, 30) and EMA (5) might not be optimal for every asset or market condition on a 5-minute chart. You'll need to backtest extensively and potentially adjust these lengths, as well as the targetPerc and stopPerc, to find what works best for the specific instrument you're trading.
Risk Management: The fixed percentage stop loss is vital on a 5-minute chart due to its volatility. Without it, a few unfavorable moves could lead to significant losses.
Easy Position Size Calculator with Fees# Easy Position Size Calculator with Fees - Manual
## Overview
The Easy Position Size Calculator is a Pine Script indicator designed to help traders calculate the optimal position size for their trades while accounting for trading fees. This tool automatically determines whether you're planning a long or short position and calculates the exact position size needed to risk a specific dollar amount.
## Key Features
- **Automatic Trade Direction Detection**: Determines if you're going long or short based on entry price vs stop loss
- **Fee Integration**: Accounts for trading fees in position size calculations
- **Risk Management**: Calculates position size based on your specified risk amount
- **Risk Factor Adjustment**: Allows you to scale your position size up or down
- **Visual Display**: Shows all calculations in a clear, organized table
## Input Parameters
### Entry Price ($)
- **Purpose**: The price at which you plan to enter the trade
- **Default**: 0.0
- **Range**: Any positive value
- **Step**: 0.01
### Stop Loss ($)
- **Purpose**: The price at which you will exit the trade if it goes against you
- **Default**: 0.0
- **Range**: Any positive value
- **Step**: 0.01
### Risk ($)
- **Purpose**: The maximum dollar amount you're willing to lose on this trade
- **Default**: 0.0
- **Range**: Any positive value
- **Step**: 0.01
### Risk Factor
- **Purpose**: A multiplier to scale your position size up or down
- **Default**: 1.0 (no scaling)
- **Range**: 0.0 to 10.0
- **Step**: 0.1
- **Examples**:
- 1.0 = Normal position size
- 2.0 = Double the position size
- 0.5 = Half the position size
### Fee (%)
- **Purpose**: The percentage fee charged per transaction (buy/sell)
- **Default**: 0.01% (0.01)
- **Range**: 0.0% to 1.0%
- **Step**: 0.001
## How It Works
### Trade Direction Detection
The script automatically determines your trade direction:
- **Long Trade**: Entry price > Stop loss price
- **Short Trade**: Entry price < Stop loss price
### Position Size Calculation
#### For Long Trades:
```
Position Size = -Risk Factor × Risk Amount / (Stop Loss × (1 - Fee) - Entry Price × (1 + Fee))
```
#### For Short Trades:
```
Position Size = -Risk Factor × Risk Amount / (Entry Price × (1 - Fee) - Stop Loss × (1 + Fee))
```
### Fee Adjustment
The script accounts for fees on both entry and exit:
- **Long trades**: You pay fees when buying (entry) and selling (exit)
- **Short trades**: You pay fees when shorting (entry) and covering (exit)
## Output Display
The indicator displays a table with the following information:
### Trade Information
- **Trade Type**: Shows whether it's a LONG, SHORT, or INVALID trade
- **Entry Price**: Your specified entry price
- **Stop Loss**: Your specified stop loss price
- **Fee (%)**: The fee percentage being used
### Risk Parameters
- **Risk Amount**: The dollar amount you're willing to risk
- **Risk Factor**: The multiplier being applied
### Calculated Values
- **Effective Entry**: The actual cost per share including fees
- **Effective Exit**: The actual exit value per share including fees
- **Expected Loss**: The calculated loss if stop loss is hit
- **Deviation from Risk %**: Shows how close the expected loss is to your target risk
- **Position Size**: The number of shares/units to trade
## Usage Examples
### Example 1: Long Trade
- Entry Price: $100.00
- Stop Loss: $95.00
- Risk Amount: $500.00
- Risk Factor: 1.0
- Fee: 0.01%
**Result**: The script will calculate how many shares to buy so that if the stop loss is hit, you lose approximately $500 (accounting for fees). Position Size: 99.61152
### Example 2: Short Trade
- Entry Price: $50.00
- Stop Loss: $55.00
- Risk Amount: $300.00
- Risk Factor: 1.0
- Fee: 0.01%
**Result**: The script will calculate how many shares to short so that if the stop loss is hit, you lose approximately $300 (accounting for fees). Position Size: 59.87426
## Important Notes
### Validation Requirements
For the script to work properly, all of the following must be true:
- Entry price > 0
- Stop loss > 0
- Risk amount > 0
- Entry price ≠ Stop loss (to determine direction)
### Negative Position Sizes
The script may show negative position sizes, which is normal:
- **Negative values for long trades**: Represents shares to buy
- **Negative values for short trades**: Represents shares to short
### Risk Deviation
The "Deviation from Risk %" shows how closely the calculated position size matches your target risk. Small deviations are normal due to:
- Fee calculations
- Rounding
- Market precision
## Color Coding
The table uses color coding for easy identification:
- **Green**: Long trade information
- **Red**: Short trade information
- **Gray**: Invalid trade (when inputs are incorrect)
- **Blue**: Final position size
- **Red background**: Risk-related calculations
## Troubleshooting
### Common Issues
1. **Position Size shows 0**
- Check that all inputs are greater than 0
- Ensure entry price is different from stop loss
2. **Trade Type shows INVALID**
- Verify that entry price and stop loss are both positive
- Make sure entry price ≠ stop loss
3. **Large Risk Deviation**
- This is normal for very small position sizes
- Consider adjusting your risk amount or price levels
## Best Practices
1. **Always validate your inputs** before placing actual trades
2. **Double-check the trade direction** shown in the table
3. **Review the expected loss** to ensure it aligns with your risk management
4. **Consider the effective entry/exit prices** which include fees
5. **Use appropriate risk factors** - avoid extreme values that could lead to overexposure
## Disclaimer
This tool is for educational and planning purposes only. Always verify calculations manually and consider market conditions, liquidity, and other factors before placing actual trades. The script assumes that fees are charged on both entry and exit transactions.
Option Maxpain & WallsThis simple script plots three lines on your chart based on options data: Call Wall, Put Wall and Max Pain. These three numbers must be obtained elsewhere. While Tradingview has delayed options data, to my knowledge Pinescript does not allow looping through this data to calculate the numbers within the script. So the user must obtain or calculate them elsewhere then type them into the input dialog. Labels and alerts are included as user options.
Fear and Greed Index [DunesIsland]The Fear and Greed Index is a sentiment indicator designed to measure the emotions driving the stock market, specifically investor fear and greed. Fear represents pessimism and caution, while greed reflects optimism and risk-taking. This indicator aggregates multiple market metrics to provide a comprehensive view of market sentiment, helping traders and investors gauge whether the market is overly fearful or excessively greedy.How It WorksThe Fear and Greed Index is calculated using four key market indicators, each capturing a different aspect of market sentiment:
Market Momentum (30% weight)
Measures how the S&P 500 (SPX) is performing relative to its 125-day simple moving average (SMA).
A higher value indicates that the market is trading well above its moving average, signaling greed.
Stock Price Strength (20% weight)
Calculates the net number of stocks hitting 52-week highs minus those hitting 52-week lows on the NYSE.
A greater number of net highs suggests strong market breadth and greed.
Put/Call Options (30% weight)
Uses the 5-day average of the put/call ratio.
A lower ratio (more call options being bought) indicates greed, as investors are betting on rising prices.
Market Volatility (20% weight)
Utilizes the VIX index, which measures market volatility.
Lower volatility is associated with greed, as investors are less fearful of large market swings.
Each component is normalized using a z-score over a 252-day lookback period (approximately one trading year) and scaled to a range of 0 to 100. The final Fear and Greed Index is a weighted average of these four components, with the weights specified above.Key FeaturesIndex Range: The index value ranges from 0 to 100:
0–25: Extreme Fear (red)
25–50: Fear (orange)
50–75: Neutral (yellow)
75–100: Greed (green)
Dynamic Plot Color: The plot line changes color based on the index value, visually indicating the current sentiment zone.
Reference Lines: Horizontal lines are plotted at 0, 25, 50, 75, and 100 to represent the different sentiment levels: Extreme Fear, Fear, Neutral, Greed, and Extreme Greed.
How to Interpret
Low Values (0–25): Indicate extreme fear, which may suggest that the market is oversold and could be due for a rebound.
High Values (75–100): Indicate greed, which may signal that the market is overbought and could be at risk of a correction.
Neutral Range (25–75): Suggests a balanced market sentiment, neither overly fearful nor greedy.
This indicator is a valuable tool for contrarian investors, as extreme readings often precede market reversals. However, it should be used in conjunction with other technical and fundamental analysis tools for a well-rounded view of the market.
Simulated OI Proxy with Trend Table1. In Simple Terms
This script mimics open interest analysis using price and volume changes.
It visually marks possible bullish and bearish setups directly on your price chart.
It’s especially useful for markets where real OI data is not available (like Indian stocks)
=======================================================================
2. Calculating Price and Volume Changes
close - close: Calculates the change in closing price from the previous bar to the current bar.
volume - volume: Calculates the change in trading volume from the previous bar to the current bar.
Purpose:
These calculations help determine if price and volume are increasing or decreasing, which is used as a proxy for open interest (OI) since real OI data may not be available.
===================================================================
3. Proxy Logic for OI Signals
long_buildup: Both price and volume are rising. This suggests new buying interest (bullish signal).
short_buildup: Price is falling but volume is rising. This suggests new short positions are being opened (bearish signal).
short_covering: Price is rising but volume is falling. This suggests shorts are closing their positions, causing a price rise (cautiously bullish).
long_unwinding: Both price and volume are falling. This suggests long positions are being closed (cautiously bearish).
====================================================================
4. Plotting the Signals
plotshape(condition, ...): Draws a shape on the chart when the condition is true.
Long Buildup: Green triangle below the bar (bullish).
Short Buildup: Red triangle above the bar (bearish).
Short Covering: Blue circle below the bar (cautiously bullish).
Long Unwinding: Orange circle above the bar (cautiously bearish).
======================================================================
5. Signal Detection:
The script checks price and volume changes to determine which signal is active.
Trend Assignment:
It assigns a text label and color for the detected trend.
Table Display:
A table appears at the top-right of your chart, showing the current trend based on the latest bar.
F&O Time Zones – Final Fixed📌 This indicator highlights high-probability intraday time zones used in Indian F&O (Futures & Options) strategies. Ideal for scalping, breakout setups, and trap avoidance.
🕒 Covered Time Zones:
• 9:15 – 9:21 AM → Flash Trades (first 1-minute volatility)
• 9:21 – 9:30 AM → Smart Money Trap (VWAP fakeouts)
• 9:30 – 9:50 AM → Fake Breakout Zone
• 9:50 – 10:15 AM → Institutional Entry Timing
• 10:15 – 10:45 AM → VWAP Range Scalps
• 10:45 – 11:15 AM → Second Trap Zone
• 11:15 – 1:00 PM → Trend Continuation Window
• 1:00 – 1:45 PM → Volatility Compression
• 1:45 – 2:15 PM → Institutional Exit Phase 1
• 2:15 – 2:45 PM → Trend Acceleration / Reversals
• 2:45 – 3:15 PM → Expiry Scalping Zone
• 3:15 – 3:30 PM → Dead Zone (square-off time)
🔧 Features:
✓ Clean vertical lines per zone
✓ Optional label positions (top or bottom)
✓ Adjustable line style, width, and color
🧠 Best used on: NIFTY, BANKNIFTY, FINNIFTY (5-min or lower)
---
🔒 **Disclaimer**:
This script is for **educational purposes only**. It is not financial advice. Trading involves risk. Please consult a professional or do your own research before taking any positions.
—
👤 Script by: **JoanJagan**
🛠️ Built in Pine Script v5
Options Strategy V1.3📈 Options Strategy V1.3 — EMA Crossover + RSI + ATR + Opening Range
Overview:
This strategy is designed for short-term directional trades on large-cap stocks or ETFs, especially when trading options. It combines classic trend-following signals with momentum confirmation, volatility-based risk management, and session timing filters to help identify high-probability entries with predefined stop-loss and profit targets.
🔍 Strategy Components:
EMA Crossover (Fast/Slow)
Entry signals are triggered by the crossover of a short EMA above or below a long EMA — a traditional trend-following method to detect shifts in momentum.
RSI Filter
RSI confirms the signal by avoiding entries in overbought/oversold zones unless certain momentum conditions are met.
Long entry requires RSI ≥ Long Threshold
Short entry requires RSI ≤ Short Threshold
ATR-Based SL & TP
Stop-loss is set dynamically as a multiple of ATR below (long) or above (short) the entry price.
Take-profit is placed as a ratio (TP/SL) of the stop distance, ensuring consistent reward/risk structure.
Opening Range Filter (Optional)
If enabled, the strategy only triggers trades after price breaks out of the 09:30–09:45 EST range, ensuring participation in directional moves.
Session Filters
No trades from 04:00 to 09:30 and from 16:00 to 20:00 EST, avoiding low-liquidity periods.
All open trades are closed at 15:55 EST, to avoid overnight risk or expiration issues for options.
⚙️ Built-in Presets:
You can choose one of the built-in ticker-specific presets for optimal conditions:
Ticker EMAs RSI (Long/Short) ATR SL×ATR TP/SL
SPY 8/28 56 / 26 14 1.4× 4.0×
TSLA 23/27 56 / 33 13 1.4× 3.6×
AAPL 6/13 61 / 26 23 1.4× 2.1×
MSFT 25/32 54 / 26 14 1.2× 2.2×
META 25/32 53 / 26 17 1.8× 2.3×
AMZN 28/32 55 / 25 16 1.8× 2.3×
You can also choose "Custom" to fully configure all parameters to your own market and strategy preferences.
📌 Best Use Case:
This strategy is especially suited for intraday options trading, where timing and risk control are critical. It works best on liquid tickers with strong trends or clear breakout behavior.
Smart Money Trap SignalSmart Money Trap Signal – Indicator Description
The Smart Money Trap Signal is a precision-based trading tool designed to identify areas where institutional traders (smart money) are likely to trap retail traders through false breakouts and liquidity grabs. These traps often occur near key highs and lows, where retail traders are lured into trades just before price reverses sharply.
🔍 Key Features:
Liquidity Sweep Detection
Identifies false breakouts of recent swing highs or lows, signaling potential liquidity grabs by large players.
Reversal Confirmation
Confirms the trap using a classic price action reversal pattern (bullish or bearish engulfing), helping filter out weak signals.
Optional Volume Spike Filter
Allows additional confirmation based on a significant spike in volume, indicating potential institutional involvement.
Buy and Sell Trap Signals
🔴 Smart Money Short (SMT↓) – Triggered when price sweeps a high and reverses down.
🟢 Smart Money Long (SMT↑) – Triggered when price sweeps a low and reverses up.
Alerts & Labels
Real-time alert conditions and on-chart labels to help you catch setups without missing opportunities.
📈 How to Use:
Apply on Higher Timeframes (1H, 4H, Daily) for cleaner signals.
Look for SMT signals at key supply/demand zones or market structure points.
Combine with your existing trading strategy, such as order blocks or break of structure (BoS), for higher accuracy.
Use volume filter only if you're analyzing markets where volume data is reliable.
⚠️ Disclaimer:
This tool is meant to assist with trade identification, not trade execution. Always use proper risk management and validate setups with your trading plan.
Previous 2 Days High/LowCan you give me a summary of this indicator
The "Previous 2 Days High/Low" indicator, written in Pine Script v5 for TradingView, plots horizontal lines representing the combined high and low prices of the previous two trading days on a chart. Here's a summary of its functionality, purpose, and key features:
Purpose
The indicator helps traders identify significant price levels by displaying the highest high and lowest low from the previous two days, which can act as potential support or resistance levels. These levels are plotted as lines that extend across the current trading day, making it easier to visualize key price zones for trading decisions.
Key Features
Calculates Combined High and Low:
Retrieves the high and low prices of the previous day and the day before using request.security on the daily timeframe ("D").
Computes the combined high as the maximum of the two days' highs and the combined low as the minimum of the two days' lows.
Dynamic Line Plotting:
Draws two horizontal lines:
Red Line: Represents the combined high, plotted at the highest price of the previous two days.
Green Line: Represents the combined low, plotted at the lowest price of the previous two days.
Lines are created at the start of a new trading day and extended to the right edge of the chart using line.set_x2, ensuring they span the entire current day.
Labels for Clarity:
Adds labels to the right of the chart, displaying the exact price values of the combined high ("Combined High: ") and combined low ("Combined Low: ").
Labels are updated to move with the lines, maintaining alignment at the current bar.
Clutter Prevention:
Deletes old lines and labels at the start of each new trading day to avoid overlapping or excessive objects on the chart.
Dynamic Requests:
Uses dynamic_requests=true in the indicator() function to allow request.security calls within conditional blocks (if ta.change(time("D"))), enabling daily data retrieval within the script's logic.
Inside Bar Detector - 15min
🔍 What is an Inside Bar?
An **Inside Bar** is a candle that forms **entirely within the high and low of the previous candle**. It represents **consolidation**, **indecision**, or **potential reversal**, and is a key signal in The Strat trading method.
🔧 What the Script Does:
1. **Timeframe Restriction**:
* The script activates **only on the 15-minute timeframe**, avoiding clutter on other timeframes.
2. **Inside Bar Logic**:
* It checks whether the **current bar’s high is lower than the previous bar’s high**, **AND** the **current bar’s low is higher than the previous bar’s low**.
* If both conditions are true, it confirms an Inside Bar.
3. **Visual Display**:
* When an Inside Bar is detected, the script **plots a yellow label ("1") above the bar**.
* The label represents the Strat 1-bar and helps you easily spot potential setups.
🎯 Use Case:
* Ideal for **Strat traders**, **price action analysts**, or **any trader** looking for breakout or reversal opportunities.
* Common setups include **1-2**, **1-3**, or **double inside bar** breakouts.
Improved Historical Volatility Calculator (No Options)Improved Historical Volatility Calculator (No Options)
Description
The "Improved Historical Volatility Calculator (No Options)" is a Pine Script indicator designed to calculate the historical volatility (HV) of assets without relying on options data. This tool is particularly useful for markets like forex, indices, or stocks where options trading might be limited or unavailable. It provides a customizable way to measure volatility based on historical price movements, with options to adjust the calculation period, trading days per year, and use an exponentially weighted moving average (EWMA) for enhanced sensitivity to recent data.
This indicator can be used standalone to visualize volatility trends or integrated with other scripts (e.g., option pricing models) to provide a manual input for implied volatility (IV).
Features
Customizable Period: Adjust the number of days (5 to 365) for volatility calculation.
Flexible Annualization: Set the number of trading days per year (default 252) to suit different markets (e.g., 365 for forex).
EWMA Option: Toggle between standard deviation and EWMA for a more responsive volatility measure.
Trend Adjustment: Removes the influence of price trends using an EMA-based detrending method.
Visual Output: Displays volatility as a histogram and labels the latest value on the chart.
How to Use
Add the Indicator: Load the indicator onto your chart via the Pine Script editor or the Indicators menu.
Configure Settings:
Period for Calculation: Set the lookback period (e.g., 30 days) to calculate volatility.
Trading Days per Year: Adjust for your market (e.g., 252 for stocks, 365 for continuous markets).
Use EWMA: Enable for a weighted approach focusing on recent volatility.
Interpret the Results: The histogram shows volatility in decimal form (e.g., 0.03136 = 3.136%), and the label displays the percentage on the last bar.
Integration: Use the calculated volatility value (in decimal form) as a manual IV input in other scripts, such as option pricing models.
Example
For the DXY index, with a 60-day period and 252 trading days per year, the indicator might output a volatility of 0.03136 (3.136%). You can input this value into an options model to estimate standard deviation levels, adjusting for the days to expiry.
Notes
Accuracy: The indicator provides a reliable estimate of historical volatility, with improvements like trend removal and EWMA. For precision, use a period that matches your trading horizon (e.g., 30-90 days).
Limitations: Volatility is based on historical data and may not reflect future market conditions or implied volatility from options.
Compatibility: Tested on TradingView as of June 16, 2025. Ensure sufficient historical data is available for the chosen period.
Suggestions
Increase the period for volatile assets to smooth out noise.
Share feedback or request enhancements in the comments!
Option Range Projector PRO (with Alerts)Indicator Name: Option Range Projector PRO (with Alerts)
Short Description
This is a powerful and flexible tool for traders that visualizes expected price movement ranges based on option pricing principles and statistical deviations. The indicator plots standard deviation levels (Sigmas) and boundaries calculated from the price of an options Straddle, providing a unique insight into market volatility expectations.
It is ideal for options traders, as well as those who trade futures or spot assets and want to gain an edge by understanding where the market anticipates price boundaries on a specific date.
Core Concepts
The indicator is based on three key ideas:
Standard Deviation (Sigma, σ): In statistics, this is a measure of value dispersion. In trading, when applied to prices, standard deviation levels show the probable range within which the price is expected to remain until a specific date (expiration).
±1σ (1 Sigma): Approximately 68.2% probability that the price will stay within this range.
±2σ (2 Sigmas): Approximately 95.4% probability. These levels often act as strong support/resistance.
±3σ (3 Sigmas): Approximately 99.7% probability. Reaching these levels is a statistically rare event.
Implied Volatility (IV): This is a key component. IV is the market's forecast of the asset's future volatility. It is derived from current option prices and reflects how significant the price movements are expected to be by traders. The higher the IV, the wider the calculated ranges will be.
Straddle-Based Levels: A straddle is an options strategy involving the simultaneous purchase of a Call and a Put option with the same strike price and expiration date. The cost of this combination (Call + Put) directly reflects the market's expected price movement in points. Our indicator uses this value to construct alternative, highly accurate boundaries of the expected range.
Key Features
Flexible Expiration Choice: Easily switch between standard contracts (Weekly, Monthly, Quarterly) or set any custom number of days to expiration (DTE).
Dual Volatility Calculation Mode: Use automatic calculation based on historical data or enter a precise IV value manually (e.g., from your broker's terminal) for maximum accuracy.
Two Types of Predictive Levels: Visualize classic standard deviations (Sigmas) and/or levels calculated from the Straddle price for a comprehensive analysis.
Expiration Comparison: Enable the display of additional levels for a different expiration date to visually compare short-term and long-term market expectations.
"Greeks" Calculation: The indicator calculates and displays key option Greeks (Delta, Gamma, Theta, Vega), helping to deepen the understanding of an option position's characteristics.
Informative Table: All key data—ATM price, IV, DTE, level prices, Greeks, and option prices—are consolidated into one clear table for quick analysis.
Customizable Alerts: Get instant notifications directly in TradingView when the price crosses any of the important levels (±1σ, ±2σ, ±3σ).
Full Visual Customization: Control colors, line thickness, labels, and zone fills to adapt the indicator to your trading style.
How to Use (Settings)
Price Settings:
Auto-detect ATM Price: When enabled, the indicator will use the current closing price as the At-The-Money (ATM) price.
Manual ATM Price: If auto mode is disabled, you can set a precise ATM price manually.
Volatility Settings:
Auto-calculate IV: Calculates historical volatility over a specified period. Useful if you don't have access to real-time IV.
Manual IV Value: (Recommended for accuracy). Enter the Implied Volatility (IV) value for the desired strike from your brokerage terminal or analytical services here.
Expiration:
Contract Type: Choose one of the standard terms (Weekly, Monthly, Quarterly) or "Custom" to use a manual day input.
Days to Expiration: Active only for the "Custom" type.
Show Multiple Expirations: Enables a second set of levels with a different term for comparison.
Straddle Boundaries:
Use Manual Input: Allows you to enter the precise Call and Put Settle prices from the official exchange summary (e.g., from the CME website). This provides the most accurate boundaries based on real market prices.
Trading Ideas and Application
Mean Reversion Trading: The ±2σ and ±3σ levels often act as strong overbought/oversold zones. A price reaching these extreme values has a high statistical probability of reversing or correcting back towards the central ATM price.
Trend Confirmation and Breakouts: A confident close outside the ±1σ range can indicate the beginning of a strong directional move.
Risk Management: Use the levels to set stop-losses or determine profit targets. For example, when opening a trade near the +1σ level, you might consider a target at +2σ and place a stop-loss behind the ATM level.
Volatility Analysis: By comparing the width of the ranges for different expirations, you can assess how the market is pricing short-term versus long-term risks. A narrow range suggests low expectations, while a wide range indicates high ones.
Disclaimer: This indicator is an analysis tool and does not provide direct financial advice or trading signals. All trading decisions are your own. Use this indicator in conjunction with other analysis methods.
OptionHawk1. What makes the script original?
• Unique concept: It integrates a Keltner based custom supertrend with a multi-EMA energy visualization, ATR based multi target management, and on chart options (CALL/PUT) trade signals—creating a toolkit not found in typical public scripts.
• Innovative use: Instead of off the shelf indicators, it reinvents them:
• Keltner bands used as dynamic Supertrend triggers.
• Fifteen EMAs layered for “energy” zones (bullish/bearish heatmaps).
• ATR dynamically scales multi-TP levels and stop loss.
These are creatively fused into a unified signal and automation engine.
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2. What value does it provide to traders?
• Clear entries & exits: Labels for entry price/time, five TP levels, and SL structure eliminate guesswork.
• Visualization & automation: Real-time bar coloring and energy overlays allow quick momentum reads.
• Targeted to common pain points: Many traders struggle with manual TP/SL and entry timing—this automates that process.
• Ready for real use: Just plug into intraday (e.g., 5 min) or swing setups; no manual calculations. Signals are actionable out of the box.
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3. Why invite only (worth paying)?
• Proprietary fusion: Public indicators like Supertrend or EMA are common—but your layered use, ATR based scaling, and label logic are exclusive.
• Auto-generated options format: Unique labeling for CALL/PUT, with graphical on chart signals, isn’t offered freely elsewhere.
• Time-saver & edge-provider: Saves traders hours of configuration and enhances consistency—worth the subscription cost over piecing together mash ups.
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4. How does it work?
• Signal backbone: Custom supertrend uses Keltner bands crossing with close for direction, filtered by trend direction EMAs.
• Multi time logic: Trend defined by crossover of price over dynamic SMA thresholds built from ATR.
• Energy bar-colors/EMAs: 15 fast EMAs color-coded green/red to instantly show momentum.
• Entry logic: “Bull” when close crosses above supertrend; “Bear” when crosses below.
• Risk management: SL set at previous bar; up to 5 ATR scaled targets (or percentage based).
• Options formatted alerts: CALL/PUT labels with ₹¬currency values, embedded timestamp, SL/TP all printed on the chart.
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5. How should traders use it?
• Best markets & timeframes: Ideal for intraday / low timeframe (1 15m) setups and 1 hour swing trades in equities, indices, options.
• Conditions: Works best in trending or volatility driven sessions—visible via Keltner bands and EMA energy alignment.
• Recommended combo: Use alongside volume filters or broader cycles; when supertrend & energy EMAs align, validation is stronger.
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6. Proof of effectiveness?
• On chart visuals: Entry/exit labels, confirmed labels, TP and SL markers make past hits obvious.
• Real trade examples: Highlighted both bull & bear setups with full profit realization or SL hits.
• Performance is paint tested: Easy to showcase historic signals across multiple tickers.
• Data-backed: Users can export chart data to calculate win rate and avg return per trade.
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Summary Pitch:
OptionHawk offers a holistic, execution-ready trading tool:
1. Proprietary blend of Keltner-supertrend and layered EMAs—beyond standard scripts.
2. Automates entries, multi-tier targets, SL, and options-format labels.
3. Visual energy overlays for quick momentum readings.
4. Use-tested in intraday and swing markets.
5. Installs on chart and works immediately—no setup complexity.
It's not a public indicator package; it's a self-contained, plug and play trade catalyst—worth subscribing for active traders seeking clarity, speed, and structure in their decision-making.
6. While OptionHawk is designed for clarity and structure, no script can predict the market. Always use with discretion and proper risk management.
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OptionHawk: A Comprehensive Trend-Following & Volatility-Adaptive Trading System
The "OptionHawk" script is a sophisticated trading tool designed to provide clear, actionable signals for options trading by combining multiple technical indicators and custom logic. It aims to offer a holistic view of market conditions, identifying trend direction, momentum, and potential entry/exit points with dynamic stop-loss and take-profit levels.
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1. Why These Specific Indicators and Code Elements?
The "OptionHawk" script is a strategic fusion of the Supertrend indicator (modified with Keltner Channels), a multi-EMA "Energy" ribbon, dynamic trend lines (based on SMA and ATR), a 100-period Trend Filter EMA, and comprehensive trade management logic (SL/TP). My reason and motivation for this mashup stem from a desire to create a robust system that accounts for various market aspects often overlooked by individual indicators:
• Supertrend with Keltner Channels: The standard Supertrend is effective for trend identification but can sometimes generate whipsaws in volatile or ranging markets. By integrating Keltner Channels into the Supertrend calculation, the volatility measure becomes more adaptive, using the (high - low) range within the Keltner Channel for its ATR-like component. This aims to create a more responsive yet less prone-to-false-signals Supertrend.
• Multi-EMA "Energy" Ribbon: This visually striking element, composed of 15 EMAs, provides a quick glance at short-to-medium term momentum and potential support/resistance zones. When these EMAs are stacked and moving in one direction, it indicates strong "energy" behind the trend, reinforcing the signals from other indicators.
• Dynamic Trend Lines (SMA + ATR): These lines offer a visual representation of support and resistance that adapts to market volatility. Unlike static trend lines, their ATR-based offset ensures they remain relevant across different market conditions and asset classes, providing context for price action relative to the underlying trend.
• 100-Period Trend Filter EMA: A longer-period EMA acts as a higher-timeframe trend filter. This is crucial for confirming the direction identified by the faster-acting Supertrend, helping to avoid trades against the prevailing broader trend.
• Comprehensive Trade Management Logic: The script integrates automated calculation and display of stop-loss (SL) and multiple take-profit (TP) levels, along with trade confirmation and "TP Hit" labels. This is critical for practical trading, providing immediate, calculated risk-reward parameters that individual indicators typically don't offer.
This combination is driven by the need for a multi-faceted approach to trading that goes beyond simple signal generation to include trend confirmation, volatility adaptation, and essential risk management.
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2. What Problem or Need Does This Mashup Solve?
This mashup addresses several critical gaps that existing individual indicators often fail to fill:
• Reliable Trend Identification in Volatile Markets: While Supertrend is good, it can be late or whipsaw. Integrating Keltner Channels helps it adapt to changing volatility, providing more reliable trend signals.
• Confirmation of Signals: A common pitfall of relying on a single indicator is false signals. "OptionHawk" uses the multi-EMA "Energy" ribbon and the 100-period EMA to confirm the trend identified by the Keltner-Supertrend, reducing false entries.
• Dynamic Support/Resistance & Trend Context: Static support and resistance levels can quickly become irrelevant. The dynamic SMA + ATR trend lines provide continually adjusting zones that reflect the current market's true support and resistance, giving traders a better understanding of price action within the trend.
• Integrated Risk and Reward Management: Most indicators just give entry signals. This script goes a significant step further by automatically calculating and displaying clear stop-loss and up to five take-profit levels (either ATR-based or percentage-based). This is a vital component for structured trading, allowing traders to pre-define their risk and reward for each trade.
• Visual Clarity and Actionable Information: Instead of requiring traders to layer multiple indicators manually, "OptionHawk" integrates them into a single, cohesive display with intuitive bar coloring, shape plots, and informative labels. This reduces cognitive load and presents actionable information directly on the chart.
In essence, "OptionHawk" provides a more comprehensive, adaptive, and actionable trading framework than relying on isolated indicators.
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3. How Do the Components Work Together?
The various components of "OptionHawk" interact in a synergistic and often sequential manner to generate signals and manage trades:
• Keltner-Supertrend as the Primary Signal Generator: The supertrend function, enhanced by keltner_channel, is the core of the system. It identifies potential trend reversals and continuation signals (bullish/bearish crosses of the supertrendLine). The sensitivity and factor inputs directly influence how closely the Supertrend follows price and its responsiveness to volatility.
• Multi-EMA "Energy" Ribbon for Momentum and Confirmation: The 15 EMAs (from ema1 to ema15) are plotted to provide a visual representation of short-term momentum. When the price is above these EMAs and they are spread out and pointing upwards, it suggests strong bullish "energy." Conversely, when price is below them and they are pointing downwards, it indicates bearish "energy." This ribbon serves as a simultaneous visual confirmation for the Supertrend signals; a buy signal from Supertrend is stronger if the EMA ribbon is also indicating upward momentum.
• Dynamic Trend Lines for Context and Confirmation: The sma_high and sma_low lines, incorporating ATR, act as dynamic support and resistance. The trend variable, determined by price crossing these lines, provides an overarching directional bias. This component works conditionally with the Supertrend; a bullish Supertrend signal is more potent if the price is also above the sma_high (indicating an uptrend).
• 100-Period Trend Filter EMA for Macro Trend Confirmation: The ema100 acts as a macro trend filter. Supertrend signals are typically considered valid if they align with the direction of the ema100. For example, a "BUY" signal from the Keltner-Supertrend is ideally taken only if the price is also above the ema100, signifying that the smaller trend aligns with the larger trend. This is a conditional filter.
• Trade Confirmation and SL/TP Logic (Sequential and Conditional):
• Once a bull or bear signal is generated by the Keltner-Supertrend, the tradeSignalCall or tradeSignalPut is set to true.
• A confirmation step then occurs for a "BUY" signal, the script checks if the close of the next bar is higher than the entry bar's close. For a "SELL" signal, it checks if the close of the next bar is lower. This is a sequential confirmation step aimed at filtering out weak signals.
• Upon a confirmed signal, the stop-loss (SL) is immediately set based on the previous bar's low (for calls) or high (for puts).
• Multiple take-profit (TP) levels are calculated and stored in arrays. These can be based on a fixed percentage or dynamic ATR multiples, based on user input.
• The TP HIT logic continuously monitors price action simultaneously against these pre-defined target levels, displaying labels when a target is reached. The SL HIT logic similarly monitors for a stop-loss breach.
In summary, the Supertrend generates the initial signal, which is then confirmed by the dynamic trend lines and the 100-period EMA, and visually reinforced by the EMA "Energy" ribbon. The trade management logic then takes over, calculating and displaying vital risk-reward parameters.
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4. What is the Purpose of the Mashup Beyond Simply Merging Code?
The purpose of "OptionHawk" extends far beyond merely combining different indicator codes; it's about creating a structured and informed decision-making process for options trading. The key strategic insights and functionalities added by combining these elements are:
• Enhanced Signal Reliability and Reduced Noise: By requiring multiple indicators to align (e.g., Keltner-Supertrend signal confirmed by EMA trend filter and dynamic trend lines), the script aims to filter out false signals and whipsaws that commonly plague individual indicators. This leads to higher-probability trade setups.
• Adaptive Risk Management: The integration of ATR into both the Supertrend calculation and the dynamic stop-loss/take-profit levels makes the entire system adaptive to current market volatility. This means stop-losses and targets are not static but expand or contract with the market's price swings, promoting more realistic risk management.
• Clear Trade Entry and Exit Framework: The script provides a complete trading plan with each signal: a clear entry point, a precise stop-loss, and multiple cascading take-profit levels. This holistic approach empowers traders to manage their trades effectively from initiation to conclusion, rather than just identifying a potential entry.
• Visual Confirmation of Market Strength: The "Energy" ribbon and dynamic trend lines provide an immediate visual understanding of the market's momentum and underlying trend strength, helping traders gauge conviction behind a signal.
• Improved Backtesting and Analysis: By combining these elements into one script, traders can more easily backtest a comprehensive strategy rather than trying to manually combine signals from multiple overlaying indicators, leading to more accurate strategy analysis.
• Suitability for Options Trading: Options contracts are highly sensitive to price movement and volatility. This script's focus on confirmed trend identification, dynamic volatility adaptation, and precise risk management makes it particularly well-suited for the nuanced demands of options trading, where timing and defined risk are paramount.
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5. What New Functionality or Insight Does Your Script Offer?
"OptionHawk" offers several new functionalities and insights that significantly enhance decision-making, improve accuracy, and provide clearer signals and better timing for traders:
• "Smart" Supertrend: By basing the Supertrend's volatility component on the Keltner Channel's range instead of a simple ATR, the Supertrend becomes more sensitive to price action within its typical bounds while still adapting to broader market volatility. This can lead to earlier and more relevant trend change signals.
• Multi-Confirmation System: The script doesn't just provide a signal; it layers multiple confirmations (Keltner-Supertrend, multi-EMA "Energy" coloration, dynamic trend lines, and the 100-period EMA). This multi-layered validation significantly improves the accuracy of signals by reducing the likelihood of false positives.
• Automated and Dynamic Risk-Reward Display: This is a major functionality enhancement. The automatic calculation and clear display of stop-loss and five distinct take-profit levels (based on either ATR or percentage) directly on the chart, along with "TP HIT" and "SL HIT" labels, streamline the trading process. Traders no longer need to manually calculate these crucial levels, leading to enhanced decision-making and better risk management.
• Visual Trend "Energy" and Momentum: The vibrant coloring of the multi-EMA ribbon based on price relative to the EMA provides an intuitive and immediate visual cue for market momentum and "energy." This offers an insight into the strength of the current move, which isn't available from single EMA plots.
• Post-Signal Confirmation: The "Confirmation" label appearing on the bar after a signal, if the price continues in the signaled direction, adds an extra layer of real-time validation. This helps to improve signal timing by waiting for initial follow-through.
• Streamlined Options Trading Planning: For options traders, having clear entry prices, stop-losses, and multiple target levels directly annotated on the chart is invaluable. It helps in quickly assessing potential premium movements and managing positions effectively.
In essence, "OptionHawk" transitions from a collection of indicators to a semi-automated trading assistant, providing a comprehensive, visually rich, and dynamically adaptive framework for making more informed and disciplined trading decisions.
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Performance & Claims
1. What is the claimed performance of the script or strategy?
Answer: The script does not claim any specific performance metrics (e.g., win rate, profit factor, percentage gains). It's an indicator designed to identify potential buy/sell signals and target/stop-loss levels. The labels it generates ("BUY CALL," "BUY PUT," "TP HIT," "SL HIT") are informational based on its internal logic, not a representation of actual trading outcomes.
2. Is there any proof or backtesting to support this claim?
Answer: No, the provided code does not include any backtesting functionality or historical performance proof. As an indicator, it simply overlays visual signals on the chart. To obtain backtesting results, the logic would need to be implemented as a Pine Script strategy with entry/exit rules and commission/slippage considerations.
3. Are there any unrealistic or exaggerated performance expectations being made?
Answer: The script itself does not make any performance expectations. It avoids quantitative claims. However, if this script were presented to users with implied promises of profit based solely on the visual signals, that would be unrealistic.
4. Have you clearly stated the limitations of the performance data (e.g., “based on backtesting only”)?
Answer: There is no statement of performance data or its limitations because the script doesn't generate performance data.
5. Do you include a disclaimer that past results do not guarantee future performance?
Answer: No, the script does not include any disclaimers about past or future performance. This is typically found in accompanying documentation or marketing materials for a trading system, not within the indicator's code itself.
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Evidence & Transparency
6. How are your performance results measured (e.g., profit factor, win rate, Sharpe ratio)?
Answer: Performance results are not measured by this script. It's an indicator.
7. Are these results reproducible by others using the same script and settings?
Answer: The visual signals and calculated levels (Supertrend line, EMAs, target/SL levels) generated by the script are reproducible on TradingView when applied to the same instrument, timeframe, and with the same input settings. However, the actual trading results (profit/loss) are not generated or reproducible by this indicator.
8. Do you include enough data (charts, equity curves, trade logs) to support your claims?
Answer: No, the script does not include or generate equity curves or trade logs. It provides visual labels on the chart, which can be seen as a form of "data" to support the signal generation, but not the performance claims (as none are made by the code).
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Future Expectations
9. Are you making any predictions about future market performance?
Answer: No, the script does not make any explicit predictions about future market performance. Its signals are based on historical price action and indicator calculations.
10. Have you stated clearly that the future is fundamentally uncertain?
Answer: No, the script does not contain any statements about the uncertainty of the future.
11. Are forward-looking statements presented with caution and appropriate language?
Answer: The script does not contain any forward-looking statements beyond the visual signals it generates based on real-time data.
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Risk & Disclosure
12. Have you disclosed the risks associated with using your script or strategy?
Answer: No, the script does not include any risk disclosures. This is typically found in external documentation.
13. Do you explain that trading involves potential loss as well as gain?
Answer: No, the script does not contain any explanation about the potential for loss in trading.
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Honesty & Integrity
14. Have you avoided hype words like “guaranteed,” “foolproof,” or “no losses”?
Answer: Yes, the script itself avoids these hype words. The language used within the code is technical and describes the indicator's logic.
15. Is your language grounded and realistic rather than promotional?
Answer: Yes, the language within the provided Pine Script code is grounded and realistic as it pertains to the technical implementation of an indicator.
16. Are you leaving out any important details that might mislead users (e.g., selective performance snapshots)?
Answer: From the perspective of the code itself, no, it's not "leaving out" performance details because it's not designed to generate them. However, if this indicator were to be presented as a "strategy" that implies profitability without accompanying disclaimers, backtesting results, and risk disclosures, then that external presentation could be misleading. The script focuses on signal generation and visual representation.
⚠️ Disclaimer:
This indicator is for informational and educational purposes only. It does not guarantee any future results or performance. All trading involves risk. Please assess your own risk tolerance and consult a licensed financial advisor if needed. Past performance does not indicate future returns.
Sticky Notes📌 Sticky Notes - On-Chart Memo Tool
A convenient indicator that lets you display trading ideas and important notes directly on your charts!
✨ Key Features:
📝 Create memos with custom text input
📍 Place anywhere on chart (top/middle/bottom)
🖥️ Screen-fixed display mode (corner positions)
🎨 Fully customizable text and background colors
📏 5 text size options (tiny to huge)
⏰ Time-based display functionality
📐 Text alignment options (left/center/right)
💡 Use Cases:
Trading strategy reminders
Important price level notes
Economic event schedules
Entry/exit point memos
Simple and user-friendly design to enhance your trading analysis!
RSI‑MA Near‑Level AlertRSI‑MA Near‑Level Alert — Publication Description
Overview
RSI‑MA Near‑Level Alert plots a smoothed Relative Strength Index (RSI) line and sends automatic alerts whenever that line comes within a user‑defined distance of two key thresholds (default = 70 for overbought, 30 for oversold). It is designed for traders who want an early warning—before a classic 70/30 cross—so they can tighten stops, scale out, or prepare reversal setups.
How It Works
RSI Calculation – Uses the standard RSI (default length 14).
Smoothing – Applies a moving‑average (default Simple 10) to reduce noise.
Proximity Logic – On every bar, the script measures the absolute distance between the smoothed RSI line and each threshold.
If the distance ≤ the Proximity setting (default 1 point), the condition flips to true.
Built‑in Alert Triggers – Two alertcondition() calls are embedded:
“RSI MA near UPPER level”
“RSI MA near LOWER level”
Select either one (or both) from the TradingView alert dialog and choose your delivery method (popup, e‑mail, SMS, webhook).
Inputs
Input Default Purpose
RSI Length 14 Core momentum look‑back.
Smoothing MA Length 10 Length of the MA applied to RSI.
Upper Level 70 Overbought line.
Lower Level 30 Oversold line.
Alert Proximity (points) 1.0 How close (in RSI points) the MA must get to trigger.
All inputs are fully editable after you add the script to a chart.
Typical Use‑Cases
Pre‑emptive Exits – Get notified when momentum is stalling near 70 or 30 so you can lock in gains before a reversal.
Reversal Hunting – Combine the alert with price‑action patterns (pin bars, engulfing candles) for higher‑probability fades.
Breakout Confirmation – Increase Upper Level to 80 / Lower Level to 20 and lower Proximity to 0.5 for more aggressive trend‑following alerts.
Step‑by‑Step Alert Setup
Add the script to your chart.
Click the alarm‑clock‑plus icon (or press Alt + A).
In “Condition,” select RSI‑MA Near‑Level Alert.
Choose either RSI MA near UPPER level or RSI MA near LOWER level.
Pick Once Per Bar Close for confirmed signals or Once Per Bar for real‑time.
Select your preferred notification methods and click Create.
(Repeat for the opposite threshold.)
Customization Tips
Change Smoothing Type – Replace ta.sma() with ta.ema(), ta.rma(), etc., directly in the code if you prefer another MA.
Track Multiple Assets – Apply the indicator to each symbol in a multi‑chart layout and set independent alerts.
Narrow Range Play – Set Upper = 60, Lower = 40 and Proximity = 0.5 to monitor a quiet‑momentum band.
Disclaimer
This script is provided for educational purposes only. It does not constitute financial advice, and past performance is not indicative of future results. Always back‑test and validate on demo data before risking live capital. The author assumes no liability for trading losses or platform malfunctions.
Options Volatility Strategy Analyzer [TradeDots]The Options Volatility Strategy Analyzer is a specialized tool designed to help traders assess market conditions through a detailed examination of historical volatility, market benchmarks, and percentile-based thresholds. By integrating multiple volatility metrics (including VIX and VIX9D) with color-coded regime detection, the script provides users with clear, actionable insights for selecting appropriate options strategies.
📝 HOW IT WORKS
1. Historical Volatility & Percentile Calculations
Annualized Historical Volatility (HV): The script automatically computes the asset’s historical volatility using log returns over a user-defined period. It then annualizes these values based on the chart’s timeframe, helping you understand the asset’s typical volatility profile.
Dynamic Percentile Ranks: To gauge where the current volatility level stands relative to past behavior, historical volatility values are compared against short, medium, and long lookback periods. Tracking these percentile ranks allows you to quickly see if volatility is high or low compared to historical norms.
2. Multi-Market Benchmark Comparison
VIX and VIX9D Integration: The script tracks market volatility through the VIX and VIX9D indices, comparing them to the asset’s historical volatility. This reveals whether the asset’s volatility is outpacing, lagging, or remaining in sync with broader market volatility conditions.
Market Context Analysis: A built-in term-structure check can detect market stress or relative calm by measuring how VIX compares to shorter-dated volatility (VIX9D). This helps you decide if the present environment is risk-prone or relatively stable.
3. Volatility Regime Detection
Color-Coded Background: The analyzer assigns a volatility regime (e.g., “High Asset Vol,” “Low Asset Vol,” “Outpacing Market,” etc.) based on current historical volatility percentile levels and asset vs. market ratios. A color-coded background highlights the regime, enabling traders to quickly interpret the market’s mood.
Alerts on Regime Changes & Spikes: Automated alerts warn you about any significant expansions or contractions in volatility, allowing you to react swiftly in changing conditions.
4. Strategy Forecast Table
Real-Time Strategy Suggestions: At the close of each bar, an on-chart table generates suggested options strategies (e.g., selling premium in high volatility or buying premium in low volatility). These suggestions provide a quick summary of potential tactics suited to the current regime.
Contextual Market Data: The table also displays key statistics, such as VIX levels, asset historical volatility percentile, or ratio comparisons, helping you confirm whether volatility conditions warrant more conservative or more aggressive strategies.
🛠️ HOW TO USE
1. Select Your Timeframe: The script supports multiple timeframes. For short-term trading, intraday charts often reveal faster shifts in volatility. For swing or position trading, daily or weekly charts may be more stable and produce fewer false signals.
2. Check the Volatility Regime: Observe the background color and on-chart labels to identify the current regime (e.g., “HIGH ASSET VOL,” “LOW VOL + LAGGING,” etc.).
3. Review the Forecast Table: The table suggests strategy ideas (e.g., iron condors, long straddles, ratio spreads) depending on whether volatility is elevated, subdued, or spiking. Use these as a starting point for designing trades that match your risk tolerance.
4. Combine with Additional Analysis: For optimal results, confirm signals with your broader trading plan, technical tools (moving averages, price action), and fundamental research. This script is most effective when viewed as one component in a comprehensive decision-making process.
❗️LIMITATIONS
Directional Neutrality: This indicator analyzes volatility environments but does not predict price direction (up/down). Traders must combine with directional analysis for complete strategy selection.
Late or Missed Signals: Since all calculations require a bar to close, sharp intrabar volatility moves may not appear in real-time.
False Positives in Choppy Markets: Rapid changes in percentile ranks or VIX movements can generate conflicting or premature regime shifts.
Data Sensitivity: Accuracy depends on the availability and stability of volatility data. Significant gaps or unusual market conditions may skew results.
Market Correlation Assumptions: The system assumes assets generally correlate with S&P 500 volatility patterns. May be less effective for:
Small-cap stocks with unique volatility drivers
International stocks with different market dynamics
Sector-specific events disconnected from broad market
Cryptocurrency-related assets with independent volatility patterns
RISK DISCLAIMER
Options trading involves substantial risk and is not suitable for all investors. Options strategies can result in significant losses, including the total loss of premium paid. The complexity of options strategies requires thorough understanding of the risks involved.
This indicator provides volatility analysis for educational and informational purposes only and should not be considered as investment advice. Past volatility patterns do not guarantee future performance. Market conditions can change rapidly, and volatility regimes may shift without warning.
No trading system can guarantee profits, and all trading involves the risk of loss. The indicator's regime classifications and strategy suggestions should be used as part of a comprehensive trading plan that includes proper risk management, directional analysis, and consideration of broader market conditions.
NY ORB + Fakeout Detector🗽 NY ORB + Fakeout Detector
This indicator automatically plots the New York Opening Range (ORB) based on the first 15 minutes of the NY session (15:30–15:45 CEST / 13:30–13:45 UTC) and detects potential fakeouts (false breakouts).
🔍 Key Features:
✅ Plots ORB high and low based on the 15-minute NY open range
✅ Automatically detects fake breakouts (price wicks beyond the box but closes back inside)
✅ Visual markers:
🔺 "Fake ↑" if a fake breakout occurs above the range
🔻 "Fake ↓" if a fake breakout occurs below the range
✅ Gray background highlights the ORB session window
✅ Designed for scalping and short-term breakout strategies
🧠 Best For:
Intraday traders looking for NY volatility setups
Scalpers using ORB-based entries
Traders seeking early-session fakeout traps to avoid false signals
Those combining with EMA 12/21, volume, or other confluence tools
HARSI PRO v2 - Advanced Adaptive Heikin-Ashi RSI OscillatorThis script is a fully re-engineered and enhanced version of the original Heikin-Ashi RSI Oscillator created by JayRogers. While it preserves the foundational concept and visual structure of the original indicatorusing Heikin-Ashi-style candles to represent RSI movementit introduces a range of institutional-grade engines and real-time analytics modules.
The core idea behind HARSI is to visualize the internal structure of RSI behavior using candle representations. This gives traders a clearer sense of trend continuity, exhaustion, and momentum inflection. In this upgraded version, the system is extended far beyond basic visualization into a comprehensive diagnostic and context-tracking tool.
Core Enhancements and Features
1. Heikin-Ashi RSI Candles
The base HARSI logic transforms RSI values into open, high, low, and close components, which are plotted as Heikin-Ashi-style candles. The open values are smoothed with a user-controlled bias setting, and the high/low are calculated from zero-centered RSI values.
2. Smoothed RSI Histogram and Plot
A secondary RSI plot and histogram are available for traditional RSI interpretation, optionally smoothed using a custom midpoint EMA process.
3. Dynamic Stochastic RSI Ribbon
The indicator optionally includes a smoothed Stochastic RSI ribbon with directional fill to highlight acceleration and reversal zones.
4. Real-Time Meta-State Engine
This engine determines the current market environmentneutral, breakout, or reversalbased on multiple adaptive conditions including volatility compression, momentum thrust, volume behavior, and composite reversal scoring.
5. Adaptive Overbought/Oversold Zone Engine
Instead of using fixed RSI thresholds, this engine dynamically adjusts OB/OS boundaries based on recent RSI range and normalized price volatility. This makes the OB/OS levels context-sensitive and more accurate across different instruments and regimes.
6. Composite Reversal Score Engine
A real-time score between 0 and 5 is generated using four components:
* OB/OS proximity (zone score)
* RSI slope behavior
* Volume state (burst or exhaustion)
* Trend continuation penalty based on position versus trend bias
This score allows for objective filtering of reversal zones and breakout traps.
7. Kalman Velocity Filter
A Kalman-style adaptive smoothing filter is applied to RSI for calculating velocity and acceleration. This allows for real-time detection of stalls and thrusts in RSI behavior.
8. Predictive Breakout Estimator
Uses ATR compression and RSI thrusting conditions to detect likely breakout environments. This logic contributes to the Meta-State Engine and the Breakout Risk dashboard metric.
9. Volume Acceleration Model
Real-time detection of volume bursts and fades based on VWMA baselines. Volume exhaustion warnings are used to qualify or disqualify reversals and breakouts.
10. Trend Bias and Regime Detection
Uses RSI slope, HARSI body impulse, and normalized ATR to classify the current trend state and directional bias. This forms the basis for filtering false reversals during strong trends.
11. Dashboard with Tooltips
A clean, table displays six key metrics in real time:
* Meta State
* Reversal Score
* Trend Bias
* Volume State
* Volatility Regime
* Breakout Risk
Each cell includes a descriptive tooltip explaining why the value is being shown based on internal state calculations.
How It Works Internally
* The system calculates a zero-centered RSI and builds candle structures using high, low, and smoothed open/close values.
* Volatility normalization is used throughout the script, including ATR-based thresholds and dynamic scaling of OB/OS zones.
* Momentum is filtered through smoothed slope calculations and HARSI body size measurements.
* Volume activity is compared against VWMA using configurable multipliers to detect institutional-level activity or exhaustion.
* Each regime detection module contributes to a centralized metaState classifier that determines whether the environment is conducive to reversal, breakout, or neutral action.
* All major signal and context values are continuously updated in a dashboard table with logic-driven color coding and tooltips.
Based On and Credits
This script is based on the original Heikin-Ashi RSI Oscillator by JayRogers . All visual elements from the original version, including candle plotting and color configurations, have been retained and extended. Significant backend enhancements were added by AresIQ for the 2025 release. The script remains open-source under the original attribution license. Credit to JayRogers is preserved and required for any derivative versions.
FNO Straddle/Strangle Premium TrackerThe FNO Straddle/Strangle Premium Tracker is a powerful Pine Script indicator designed for options traders to monitor the combined premium of a straddle or strangle strategy for Indian F&O instruments. It tracks the sum of call and put option prices, visualizes the premium as a candlestick or line chart, and includes technical indicators like EMAs and premium percentage change. The indicator also provides a real-time data table, alerts for key events, and exportable data for analysis, making it ideal for tracking premium movements and identifying trading opportunities.
Key Features
Customizable Inputs: Select from a wide range of underlying symbols (e.g., NIFTY, BANKNIFTY, stocks like RELIANCE, TCS), expiry date, call/put strike prices, chart type (Candlestick or Line), and timeframe (1-min to Daily).
Premium Visualization: Plots the combined premium (Call + Put) as a candlestick or line chart, with customizable colors for easy trend identification.
Exponential Moving Averages (EMAs): Displays 21, 100, and 200-period EMAs to track premium trends, with alerts for premium crossing above/below the 21-period EMA.
Premium % Change: Shows the percentage change in the combined premium as a histogram for quick momentum analysis.
Real-Time Data Table: A table in the top-right corner displays the latest premium, call/put Last Traded Prices (LTP), and EMA values (21, 100, 200).
Error Handling: Alerts users with a warning label if the selected symbol, expiry, or strike is invalid or data is unavailable.
Data Export: Outputs the latest premium, call LTP, and put LTP as a text string for easy copying or analysis.
LTP Label: Displays the current premium value every 5 bars for quick reference.
How It Works
Input Selection: Choose the underlying symbol, expiry date (YYMMDD format, e.g., 250626 for June 26, 2025), call and put strike prices, chart type, and timeframe.
Data Fetching: The script fetches real-time OHLC (Open, High, Low, Close) data for the selected call and put options using the specified symbol and expiry.
Premium Calculation: Combines the call and put option prices to calculate the straddle/strangle premium (Open, High, Low, Close).
Visualization: Plots the premium as a candlestick (green for bullish, red for bearish) or a blue line chart, along with EMAs, call/put LTP lines, and a premium % change histogram.
Alerts & Notifications: Triggers alerts when the premium crosses the 21-period EMA and displays a warning if data is invalid.
Data Display: Shows key metrics in a table and provides exportable data for further analysis.
Inputs
Select Symbol: Choose the underlying instrument (e.g., NIFTY, BANKNIFTY, RELIANCE, etc.).
Expiry Date: Enter the option expiry in YYMMDD format (e.g., 250626).
Call/Put Strike: Specify the strike prices for the call and put options.
Chart Type: Select "Candlestick" or "Line" to visualize the premium.
Timeframe: Choose the data aggregation period (e.g., 1-min, 5-min, Daily).
Outputs
Chart: Candlestick or line plot of the combined premium, with EMAs (21, 100, 200), call/put LTP, and premium % change histogram.
Table: Real-time display of premium, call/put LTP, and EMA values.
Alerts: Notifications for premium crossing EMA21 or invalid data.
Export Data: A text string with the latest premium, call LTP, and put LTP for external use.
Use Cases
Straddle/Strangle Trading: Monitor premium movements for at-the-money (ATM) straddles or out-of-the-money (OTM) strangles to time entries/exits.
Trend Analysis: Use EMAs to identify bullish or bearish trends in the premium.
Momentum Trading: Leverage the premium % change histogram to spot rapid price movements.
Risk Management: Track call and put LTP individually to assess option price behavior.
Data Analysis: Export premium data for backtesting or strategy development.
How to Use
Add the indicator to your TradingView chart.
Configure the inputs (symbol, expiry, strikes, chart type, timeframe) based on your trading setup.
Monitor the chart for premium trends, EMA crossovers, and % change signals.
Use the table and export data for real-time insights or external analysis.
Set up alerts to get notified when the premium crosses the 21-period EMA.
Notes
Ensure the symbol, expiry, and strike prices are valid for your data provider to avoid "Invalid Symbol" errors.
The indicator works best on Indian F&O instruments (NSE/BSE) with active options chains.
For optimal performance, use shorter timeframes (e.g., 1-min, 5-min) for intraday trading or Daily for positional analysis.
The premium % change histogram helps identify volatility spikes, useful for breakout strategies.
Limitations
Requires valid option chain data from TradingView’s data provider.
Performance may vary on low-liquidity instruments or illiquid strike prices.
Alerts are limited to EMA21 crossovers; additional custom alerts can be added as needed.
Feedback
If you have suggestions or need additional features (e.g., Bollinger Bands, RSI, or volatility metrics), feel free to comment! Happy trading!
Enhanced Daily Sentiment & Auction Area Trading StrategyDetermine Daily Sentiment (Anchor Chart - Daily TF):
Analyze Yesterday's Daily Candle: Look at the previous day's daily candlestick (high, low, open, close). This is the "most important information."
Establish Bias: If yesterday's candle was bullish (closed higher), the bias for today is generally long (approx. 80% of the time). If bearish, the bias is short.
Moving Average Context: Note if the daily price is above or below its short-term moving average (e.g., 21 or 50 MA). This should align with the candle's bias (e.g., bullish daily candle above its MA).
Pre-Market & Opening Analysis (Information Gathering):
Check for Gaps: Observe if the market is gapping up or down in the pre-market session relative to yesterday's close. This provides an early clue to current sentiment.
Consider Overall Sentiment: Briefly factor in relevant news or overarching market sentiment (e.g., data releases, overall market feeling from yields, gold etc.). Trading Window: Focus primarily on trading within the first hour of the U.S. market open, as this is when volatility is typically highest, which the strategy relies on.
Setup 5-Minute Chart for Execution (Trading TF - 5-min):
Apply Moving Average: Use the same short-term moving average (e.g., 21 or 50 MA) as on the daily chart.
Seek Alignment (Crucial): The 5-minute chart's trend and price action relative to its MA must align with the daily chart's bias and MA relationship.
If Daily bias is LONG (price above daily MA), the 5-minute chart should also show price establishing itself above its 5-min MA, ideally with a similar "45-degree angle" uptrend.
If Daily bias is SHORT (price below daily MA), the 5-minute chart should also show price establishing itself below its 5-min MA, with a similar downtrend. If there's no clear alignment between the daily and 5-minute chart structure/MA, do not trade.
Identify the "Auction Area" (Value/Congestion) on the 5-Minute Chart:
This is a recent area of congestion, a small support/resistance flip, or where price has paused, consolidated, and is retesting, often near the 5-minute MA.
Uptrend (Long Bias): Look for a pullback (a small "V" shape dip) towards the 5-minute MA or a recent small resistance-turned-support area. This is the "auction retest" before a potential breakout higher.
Downtrend (Short Bias): Look for a pullback rally (an inverted "V" shape) towards the 5-minute MA or a recent small support-turned-resistance area.
Single MA Pullback – Producers TradeHow to Use the “Single MA Pullback – Producers Trade” Indicator
This indicator helps options traders identify high-probability CALL and PUT signals based on price reacting to a single moving average.
⸻
✅ How It Works
• Select your preferred MA type (EMA, SMA, WMA, VWMA) and length.
• A Buy signal (CALL) is generated when price crosses above the MA.
• A Sell signal (PUT) is generated when price crosses below the MA.
• Visual arrows mark each signal, and a label suggests an option contract with strike and expiration.
⸻
🧠 Features
• Strike prices are automatically calculated ~1% out of the money.
• Expiration dates target the next Friday, based on the current day of the week.
• Symbol-specific strike rounding (e.g., 1 for SPY/XSP, 5 for most stocks).
⸻
📆 Expiration Date Notes
• Expiration dates shown in the label are based on a best-estimate to the next Friday.
• Depending on the time of day or day of week, the date may be off by one day.
• Always verify expiration dates on your trading platform before placing a trade.
⸻
📌 Important Tip on Expiration
A further out expiration is almost always a better idea — especially for:
• Avoiding time decay (theta)
• Holding through small pullbacks
• Letting your trade develop with less pressure
Even when the label suggests a short-dated contract, you can manually choose a longer expiration (e.g., 2–3 weeks out) for added safety and flexibility.
⸻
📈 Trading Suggestions
1. Green arrow = CALL setup. Red arrow = PUT setup.
2. Labels include trade type, strike price, and suggested expiration.
3. Confirm the signal with volume, price structure, or catalyst.
4. Manage your risk with proper sizing and optional stop-loss/target planning.
