OpenAI Signal Generator - Enhanced Accuracy# AI-Powered Trading Signal Generator Guide
## Overview
This is an advanced trading signal generator that combines multiple technical indicators using AI-enhanced logic to generate high-accuracy trading signals. The indicator uses a sophisticated combination of RSI, MACD, Bollinger Bands, EMAs, ADX, and volume analysis to provide reliable buy/sell signals with comprehensive market analysis.
## Key Features
### 1. Multi-Indicator Analysis
- **RSI (Relative Strength Index)**
- Length: 14 periods (default)
- Overbought: 70 (default)
- Oversold: 30 (default)
- Used for identifying overbought/oversold conditions
- **MACD (Moving Average Convergence Divergence)**
- Fast Length: 12 (default)
- Slow Length: 26 (default)
- Signal Length: 9 (default)
- Identifies trend direction and momentum
- **Bollinger Bands**
- Length: 20 periods (default)
- Multiplier: 2.0 (default)
- Measures volatility and potential reversal points
- **EMAs (Exponential Moving Averages)**
- Fast EMA: 9 periods (default)
- Slow EMA: 21 periods (default)
- Used for trend confirmation
- **ADX (Average Directional Index)**
- Length: 14 periods (default)
- Threshold: 25 (default)
- Measures trend strength
- **Volume Analysis**
- MA Length: 20 periods (default)
- Threshold: 1.5x average (default)
- Confirms signal strength
### 2. Advanced Features
- **Customizable Signal Frequency**
- Daily
- Weekly
- 4-Hour
- Hourly
- On Every Close
- **Enhanced Filtering**
- EMA crossover confirmation
- ADX trend strength filter
- Volume confirmation
- ATR-based volatility filter
- **Comprehensive Alert System**
- JSON-formatted alerts
- Detailed technical analysis
- Multiple timeframe analysis
- Customizable alert frequency
## How to Use
### 1. Initial Setup
1. Open TradingView and create a new chart
2. Select your preferred trading pair
3. Choose an appropriate timeframe
4. Apply the indicator to your chart
### 2. Configuration
#### Basic Settings
- **Signal Frequency**: Choose how often signals are generated
- Daily: Signals at the start of each day
- Weekly: Signals at the start of each week
- 4-Hour: Signals every 4 hours
- Hourly: Signals every hour
- On Every Close: Signals on every candle close
- **Enable Signals**: Toggle signal generation on/off
- **Include Volume**: Toggle volume analysis on/off
#### Technical Parameters
##### RSI Settings
- Adjust `rsi_length` (default: 14)
- Modify `rsi_overbought` (default: 70)
- Modify `rsi_oversold` (default: 30)
##### EMA Settings
- Fast EMA Length (default: 9)
- Slow EMA Length (default: 21)
##### MACD Settings
- Fast Length (default: 12)
- Slow Length (default: 26)
- Signal Length (default: 9)
##### Bollinger Bands
- Length (default: 20)
- Multiplier (default: 2.0)
##### Enhanced Filters
- ADX Length (default: 14)
- ADX Threshold (default: 25)
- Volume MA Length (default: 20)
- Volume Threshold (default: 1.5)
- ATR Length (default: 14)
- ATR Multiplier (default: 1.5)
### 3. Signal Interpretation
#### Buy Signal Requirements
1. RSI crosses above oversold level (30)
2. Price below lower Bollinger Band
3. MACD histogram increasing
4. Fast EMA above Slow EMA
5. ADX above threshold (25)
6. Volume above threshold (if enabled)
7. Market volatility check (if enabled)
#### Sell Signal Requirements
1. RSI crosses below overbought level (70)
2. Price above upper Bollinger Band
3. MACD histogram decreasing
4. Fast EMA below Slow EMA
5. ADX above threshold (25)
6. Volume above threshold (if enabled)
7. Market volatility check (if enabled)
### 4. Visual Indicators
#### Chart Elements
- **Moving Averages**
- SMA (Blue line)
- Fast EMA (Yellow line)
- Slow EMA (Purple line)
- **Bollinger Bands**
- Upper Band (Green line)
- Middle Band (Orange line)
- Lower Band (Green line)
- **Signal Markers**
- Buy Signals: Green triangles below bars
- Sell Signals: Red triangles above bars
- **Background Colors**
- Light green: Buy signal period
- Light red: Sell signal period
### 5. Alert System
#### Alert Types
1. **Signal Alerts**
- Generated when buy/sell conditions are met
- Includes comprehensive technical analysis
- JSON-formatted for easy integration
2. **Frequency-Based Alerts**
- Daily/Weekly/4-Hour/Hourly/Every Close
- Includes current market conditions
- Technical indicator values
#### Alert Message Format
```json
{
"symbol": "TICKER",
"side": "BUY/SELL/NONE",
"rsi": "value",
"macd": "value",
"signal": "value",
"adx": "value",
"bb_upper": "value",
"bb_middle": "value",
"bb_lower": "value",
"ema_fast": "value",
"ema_slow": "value",
"volume": "value",
"vol_ma": "value",
"atr": "value",
"leverage": 10,
"stop_loss_percent": 2,
"take_profit_percent": 5
}
```
## Best Practices
### 1. Signal Confirmation
- Wait for multiple confirmations
- Consider market conditions
- Check volume confirmation
- Verify trend strength with ADX
### 2. Risk Management
- Use appropriate position sizing
- Implement stop losses (default 2%)
- Set take profit levels (default 5%)
- Monitor market volatility
### 3. Optimization
- Adjust parameters based on:
- Trading pair volatility
- Market conditions
- Timeframe
- Trading style
### 4. Common Mistakes to Avoid
1. Trading without volume confirmation
2. Ignoring ADX trend strength
3. Trading against the trend
4. Not considering market volatility
5. Overtrading on weak signals
## Performance Monitoring
Regularly review:
1. Signal accuracy
2. Win rate
3. Average profit per trade
4. False signal frequency
5. Performance in different market conditions
## Disclaimer
This indicator is for educational purposes only. Past performance is not indicative of future results. Always use proper risk management and trade responsibly. Trading involves significant risk of loss and is not suitable for all investors.
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Canuck Trading Projection IndicatorCanuck Trading Projection Indicator
Overview
The Canuck Trading Projection Indicator is a powerful PineScript v6 tool designed for TradingView to project potential bullish and bearish price trajectories based on historical price and volume movements. It provides traders with actionable insights by estimating future price targets and assigning confidence levels to each outlook, helping to identify probable market directions across any timeframe. Ideal for both short-term and long-term traders, this indicator combines momentum analysis, RSI filtering, support/resistance detection, and time-weighted trend analysis to deliver robust projections.
Features
Bullish and Bearish Projections: Forecasts price targets for upward (bullish) and downward (bearish) movements over a user-defined projection period (default 20 bars).
Confidence Levels: Assigns percentage confidence scores to each outlook, reflecting the likelihood of the projected price based on historical trends, volatility, and volume.
RSI Filter: Incorporates a 14-period Relative Strength Index (RSI) to validate trends, requiring RSI > 50 for bullish and RSI < 50 for bearish signals.
Support/Resistance Detection: Adjusts confidence levels when projections are near key swing highs/lows (within 2% of average price), boosting confidence by 5% for alignments.
Time-Based Weighting: Prioritizes recent price movements in trend analysis, giving more weight to newer bars for improved relevance.
Customizable Inputs: Allows users to tailor lookback period, projection bars, RSI period, confidence threshold, colors, and label positioning.
Forced Label Spacing: Prevents overlap of bullish and bearish text labels, even for tight projections, using fixed vertical slots when price differences are small (<2% of average price).
Timeframe Flexibility: Works seamlessly across all TradingView timeframes (e.g., 30-minute, hourly, daily, weekly, monthly), adapting projections to the chart’s resolution.
Clean Visualization: Displays projections as green (bullish) and red (bearish) dashed lines, with non-overlapping text labels at the projection endpoints showing price targets and confidence levels.
How It Works
The indicator analyzes historical price and volume data over a user-defined lookback period (default 50 bars) to calculate:
Momentum: Combines price changes and volume to assess trend strength, using a weighted moving average (WMA) for directional bias.
Trend Analysis: Counts bullish (price up, volume above average, RSI > 50) and bearish (price down, volume above average, RSI < 50) trends, weighting recent bars more heavily.
Projections:
Bullish Slope: Positive or flat when momentum is upward, scaled by price change and momentum intensity.
Bearish Slope: Negative or flat when momentum is downward, amplified by bearish confidence for stronger projections.
Projects prices forward by 20 bars (default) using current close plus slope times projection bars.
Confidence Levels:
Base confidence derived from the proportion of bullish/bearish trends, with a 5% minimum to avoid zero confidence.
Adjusted by volatility (lower volatility increases confidence), volume trends, and proximity to support/resistance levels.
Visualization:
Draws projection lines from the current close to the 20-bar future target.
Places text labels at line endpoints, showing price targets and confidence percentages, with forced spacing for readability.
Input Parameters
Lookback Period (default: 50): Number of bars for historical analysis (minimum 10).
Projection Bars (default: 20): Number of bars to project forward (minimum 5).
Confidence Threshold (default: 0.6): Minimum confidence for strong trend indication (0.1 to 1.0).
Bullish Projection Line Color (default: Green): Color for bullish projection line and label.
Bearish Projection Line Color (default: Red): Color for bearish projection line and label.
RSI Period (default: 14): Period for RSI momentum filter (minimum 5).
Label Vertical Offset (%) (default: 1.0): Base offset for labels as a percentage of price range (0.1% to 5.0%).
Minimum Label Spacing (%) (default: 2.0): Minimum vertical spacing between labels for tight projections (0.5% to 10.0%).
Usage Instructions
Add to Chart: Copy the script into TradingView’s Pine Editor, save, and add the indicator to your chart.
Select Timeframe: Apply to any timeframe (e.g., 30-minute, hourly, daily, weekly, monthly) to match your trading strategy.
Interpret Outputs:
Green Line/Label: Bullish price target and confidence (e.g., "Bullish: 414.37, Confidence: 35%").
Red Line/Label: Bearish price target and confidence (e.g., "Bearish: 279.08, Confidence: 41.3%").
Higher confidence indicates a stronger likelihood of the projected outcome.
Adjust Inputs:
Modify Lookback Period to focus on shorter/longer historical trends (e.g., 20 for short-term, 100 for long-term).
Change Projection Bars to adjust forecast horizon (e.g., 10 for shorter, 50 for longer).
Tweak RSI Period or Confidence Threshold for sensitivity to momentum or trend strength.
Customize Colors for visual preference.
Increase Minimum Label Spacing if labels overlap in volatile markets.
Combine with Analysis: Use alongside other indicators (e.g., moving averages, Bollinger Bands) or fundamental analysis to confirm signals, as projections are probabilistic.
Example: TSLA Across Timeframes
Using live TSLA data (close ~346.46 USD, May 31, 2025), the indicator produces:
30-Minute: Bullish 341.93 (13.3%), Bearish 327.96 (86.7%) – Strong bearish sentiment due to intraday volatility.
1-Hour: Bullish 342.00 (33.9%), Bearish 327.50 (62.3%) – Bearish but less intense, reflecting hourly swings.
4-Hour: Bullish 345.52 (73.4%), Bearish 344.44 (19.0%) – Flat outlook, indicating consolidation.
Daily: Bullish 391.26 (68.8%), Bearish 302.22 (31.2%) – Bullish bias from recent uptrend, bearish tempered by longer lookback.
Weekly: Bullish 414.37 (35.0%), Bearish 279.08 (41.3%) – Wide range, reflecting annual volatility.
Monthly: Bullish 396.70 (54.9%), Bearish 296.93 (10.2%) – Long-term bullish optimism.
These results align with market dynamics: short-term intervals capture volatility, while longer intervals smooth trends, providing balanced outlooks.
Notes
Accuracy: Projections are estimates based on historical data and should be used with other analysis tools. Confidence levels indicate likelihood, not certainty.
Timeframe Sensitivity: Short-term intervals (e.g., 30-minute) show larger price swings and higher confidence due to volatility, while longer intervals (e.g., monthly) are more stable.
Customization: Adjust inputs to match your trading style (e.g., shorter lookback for day trading, longer for swing trading).
Performance: Tested on volatile stocks like TSLA, NVIDIA, and others, ensuring robust performance across markets.
Limitations: May produce conservative bearish projections in strong uptrends due to momentum weighting. Adjust lookback or projection_bars for sensitivity.
Feedback
If you encounter issues (e.g., label overlap, projection mismatches), please share your timeframe, settings, or a screenshot. Suggestions for enhancements (e.g., additional filters, visual tweaks) are welcome!
Disclaimer
The Canuck Trading Projection Indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves significant risks, and past performance is not indicative of future results. Always perform your own due diligence and consult a qualified financial advisor before making trading decisions.
Day of Week and HTF Period SeparatorDay of Week & HTF Period Separator
A minimalist Pine Script indicator that adds clear, time-based separators and labels to intraday charts for better structure and analysis.
Key Features
• Day Labels
• Displays abbreviated weekday names (MON, TUE, WED, etc.) at a user-defined hour
• Custom text color and position
• Limits display to the most recent 28 days for a clean view
• Time Separators
• Daily: Vertical line at 00:00 each trading day
• 4-Hour: Lines at 00:00, 04:00, 08:00, 12:00, 16:00, 20:00
• Hourly: Divisions at every hour for detailed timing
• Customization
• Individual color picker for each separator type
• Choose line style: Solid, Dashed or Dotted
• Enable or disable any separator or label independently
• Smart limits to avoid clutter on extended history
• Smart Behavior
• Active only on intraday timeframes
• Projects upcoming separators into the future for planning
• Automatically caps historical plotting for performance
• Lines extend across full visible price range
Perfect for traders who need distinct session breaks, precise time-based zoning and an organized chart layout.
Inputs
• Show Day Labels (true/false)
• Label Hour (0–23)
• Day Label Color
• Show Daily Separators (true/false)
• Show 4H Separators (true/false)
• Show 1H Separators (true/false)
• Daily Line Color, Style
• 4H Line Color, Style
• Hourly Line Color, Style
• Max Days to Display
Enhance your intraday analysis with clean, customizable time markers. 👁
Volume Flow RatioVolume Flow Ratio (VFR) Indicator
Overview
The Volume Flow Ratio (VFR) is a sophisticated volume analysis tool that measures current trading volume relative to the maximum volume of the previous period. Unlike traditional volume indicators that show raw volume or simple moving averages, VFR provides context by comparing current activity to recent maximum activity levels.
Core Features
1. Split Period Analysis
- Multiple Timeframe Options:
- Daily: Compares to previous day's maximum
- Weekly: Week-to-week comparison
- NYSE Weekly: Specialized for stock market trading (Monday-Friday only)
- Monthly: Month-to-month analysis
- Quarterly: Quarter-to-quarter perspective
- Yearly: Year-over-year volume comparison
2. Ratio-Based Measurement
- Displays volume as a ratio (0 to 1+) rather than raw numbers
- 1.0 represents volume equal to previous period's maximum
- Example: If previous max was 50,000 contracts:
- Current volume of 25,000 shows as 0.5
- Current volume of 75,000 shows as 1.5
3. Triple Coloring Modes
- Moving Average Based:
- Compares current ratio to its moving average
- Customizable MA period
- Green: Above MA (higher than average activity)
- Red: Below MA (lower than average activity)
- Previous Candle Comparison:
- Simple increase/decrease from previous bar
- Green: Higher than previous bar
- Red: Lower than previous bar
- Candle Color Based:
- Syncs with price action
- Green: Bullish candles (close > open)
- Red: Bearish candles (close < open)
Primary Use Cases
1. Volume Profile Analysis
- Perfect for traders who need to understand when markets are most active
- Helps identify unusual volume spikes relative to recent history
- Useful for timing entries and exits based on market participation
2. Market Activity Traders
Ideal for traders who:
- Need to identify high-liquidity periods
- Want to avoid low-volume periods
- Look for volume breakouts or divergences
- Trade based on institutional participation levels
3. Mean Reversion Traders
Helps identify:
- Overextended volume conditions (potential reversals)
- Volume exhaustion points
- Return to normal volume levels after spikes
4. Momentum Traders
Useful for:
- Confirming trend strength through volume
- Identifying potential trend exhaustion
- Validating breakouts with volume confirmation
Advantages Over Traditional Volume Indicators
1. Contextual Analysis
- Shows relative strength rather than raw numbers
- Easier to compare across different time periods
- Automatically adjusts to changing market conditions
2. Period-Specific Insights
- Respects natural market cycles (daily, weekly, monthly)
- Special handling for NYSE trading days
- Eliminates weekend noise in stock market analysis
3. Flexible Visualization
- Three distinct coloring methods for different trading styles
- Clear reference line at 1.0 for quick analysis
- Histogram style for easy pattern recognition
Best Practices
For Day Traders
- Use Daily split for intraday volume patterns
- MA coloring mode with shorter periods (5-10)
- Focus on ratios during market hours
For Swing Traders
- Weekly or NYSE Weekly splits
- Longer MA periods (15-20)
- Look for sustained volume patterns
For Position Traders
- Monthly or Quarterly splits
- Candle color mode for trend confirmation
- Focus on major volume shifts
Limitations
- Requires one full period to establish baseline
- May be less effective in extremely low volume conditions
- NYSE Weekly mode specific to stock market hours
This indicator is particularly valuable for traders who understand that volume is a crucial component of price action but need a more sophisticated way to analyze it than simple volume bars. It's especially useful for those who trade based on market participation levels and need to quickly identify whether current volume is significant relative to recent history.
Green*DiamondGreen*Diamond (GD1)
Unleash Dynamic Trading Signals with Volatility and Momentum
Overview
GreenDiamond is a versatile overlay indicator designed for traders seeking actionable buy and sell signals across various markets and timeframes. Combining Volatility Bands (VB) bands, Consolidation Detection, MACD, RSI, and a unique Ribbon Wave, it highlights high-probability setups while filtering out noise. With customizable signals like Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, plus vibrant candle and volume visuals, GreenDiamond adapts to your trading style—whether you’re scalping, day trading, or swing trading.
Key Features
Volatility Bands (VB): Plots dynamic upper and lower bands to identify breakouts or reversals, with toggleable buy/sell signals outside consolidation zones.
Consolidation Detection: Marks low-range periods to avoid choppy markets, ensuring signals fire during trending conditions.
MACD Signals: Offers flexible buy/sell conditions (e.g., cross above signal, above zero, histogram up) with RSI divergence integration for precision.
RSI Filter: Enhances signals with customizable levels (midline, oversold/overbought) and bullish divergence detection.
Ribbon Wave: Visualizes trend strength using three EMAs, colored by MACD and RSI for intuitive momentum cues.
Custom Signals: Includes Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, with limits on consecutive signals to prevent overtrading.
Candle & Volume Styling: Blends MACD/RSI colors on candles and scales volume bars to highlight momentum spikes.
Alerts: Set up alerts for VB signals, MACD crosses, Green*Diamond signals, and custom conditions to stay on top of opportunities.
How It Works
Green*Diamond integrates multiple indicators to generate signals:
Volatility Bands: Calculates bands using a pivot SMA and standard deviation. Buy signals trigger on crossovers above the lower band, sell signals on crossunders below the upper band (if enabled).
Consolidation Filter: Suppresses signals when candle ranges are below a threshold, keeping you out of flat markets.
MACD & RSI: Combines MACD conditions (e.g., cross above signal) with RSI filters (e.g., above midline) and optional volume spikes for robust signals.
Custom Logic: Green-Yellow Buy uses MACD bullishness, Pullback Sell targets retracements, and Inverse Pullback Buy catches reversals after downmoves—all filtered to avoid consolidation.
Visuals: Ribbon Wave shows trend direction, candles blend momentum colors, and volume bars scale dynamically to confirm signals.
Settings
Volatility Bands Settings:
VB Lookback Period (20): Adjust to 10–15 for faster markets (e.g., 1-minute scalping) or 25–30 for daily charts.
Upper/Lower Band Multiplier (1.0): Increase to 1.5–2.0 for wider bands in volatile stocks like AEHL; decrease to 0.5 for calmer markets.
Show Volatility Bands: Toggle off to reduce chart clutter.
Use VB Signals: Enable for breakout-focused trades; disable to focus on Green*Diamond signals.
Consolidation Settings:
Consolidation Lookback (14): Set to 5–10 for small caps (e.g., AEHL) to catch quick consolidations; 20 for higher timeframes.
Range Threshold (0.5): Lower to 0.3 for stricter filtering in choppy markets; raise to 0.7 for looser signals.
MACD Settings:
Fast/Slow Length (12/26): Shorten to 8/21 for scalping; extend to 15/34 for swing trading.
Signal Smoothing (9): Reduce to 5 for faster signals; increase to 12 for smoother trends.
Buy/Sell Signal Options: Choose “Cross Above Signal” for classic MACD; “Histogram Up” for momentum plays.
Use RSI Div + MACD Cross: Enable for high-probability reversal signals.
RSI Settings:
RSI Period (14): Drop to 10 for 1-minute charts; raise to 20 for daily.
Filter Level (50): Set to 55 for stricter buys; 45 for sells.
Overbought/Oversold (70/30): Tighten to 65/35 for small caps; widen to 75/25 for indices.
RSI Buy/Sell Options: Select “Bullish Divergence” for reversals; “Cross Above Oversold” for momentum.
Color Settings:
Adjust bullish/bearish colors for visibility (e.g., brighter green/red for dark themes).
Border Thickness (1): Increase to 2–3 for clearer candle outlines.
Volume Settings:
Volume Average Length (20): Shorten to 10 for scalping; extend to 30 for swing trades.
Volume Multiplier (2.0): Raise to 3.0 for AEHL’s volume surges; lower to 1.5 for steady stocks.
Bar Height (10%): Increase to 15% for prominent bars; decrease to 5% to reduce clutter.
Ribbon Settings:
EMA Periods (10/20/30): Tighten to 5/10/15 for scalping; widen to 20/40/60 for trends.
Color by MACD/RSI: Disable for simpler visuals; enable for dynamic momentum cues.
Gradient Fill: Toggle on for trend clarity; off for minimalism.
Custom Signals:
Enable Green-Yellow Buy: Use for momentum confirmation; limit to 1–2 signals to avoid spam.
Pullback/Inverse Pullback % (50): Set to 30–40% for small caps; 60–70% for indices.
Max Buy Signals (1): Increase to 2–3 for active markets; keep at 1 for discipline.
Tips and Tricks
Scalping Small Caps (e.g., AEHL):
Use 1-minute charts with VB Lookback = 10, Consolidation Lookback = 5, and Volume Multiplier = 3.0 to catch $0.10–$0.20 moves.
Enable Green-Yellow Buy and Inverse Pullback Buy for quick entries; disable VB Signals to focus on Green*Diamond logic.
Pair with SMC+ green boxes (if you use them) for reversal confirmation.
Day Trading:
Try 5-minute charts with MACD Fast/Slow = 8/21 and RSI Period = 10.
Enable RSI Divergence + MACD Cross for high-probability setups; set Max Buy Signals = 2.
Watch for volume bars turning yellow to confirm entries.
Swing Trading:
Use daily charts with VB Lookback = 30, Ribbon EMAs = 20/40/60.
Enable Pullback Sell (60%) to exit after rallies; disable RSI Color for cleaner candles.
Check Ribbon Wave gradient for trend strength—bright green signals strong bulls.
Avoiding Noise:
Increase Consolidation Threshold to 0.7 on volatile days to skip false breakouts.
Disable Ribbon Wave or Volume Bars if the chart feels crowded.
Limit Max Buy Signals to 1 for disciplined trading.
Alert Setup:
In TradingView’s Alerts panel, select:
“GD Buy Signal” for standard entries.
“RSI Div + MACD Cross Buy” for reversals.
“VB Buy Signal” for breakout plays.
Set to “Once Per Bar Close” for confirmed signals; “Once Per Bar” for scalping.
Backtesting:
Replay on small caps ( Float < 5M, Price $0.50–$5) to test signals.
Focus on “GD Buy Signal” with yellow volume bars and green Ribbon Wave.
Avoid signals during gray consolidation squares unless paired with RSI Divergence.
Usage Notes
Markets: Works on stocks, forex, crypto, and indices. Best for volatile assets (e.g., small-cap stocks, BTCUSD).
Timeframes: Scalping (1–5 minutes), day trading (15–60 minutes), or swing trading (daily). Adjust settings per timeframe.
Risk Management: Combine with stop-losses (e.g., 1% risk, $0.05 below AEHL entry) and take-profits (3–5%).
Customization: Tweak inputs to match your strategy—experiment in replay to find your sweet spot.
Disclaimer
Green*Diamond is a technical tool to assist with trade identification, not a guarantee of profits. Trading involves risks, and past performance doesn’t predict future results. Always conduct your own analysis, manage risk, and test settings before live trading.
Feedback
Love Green*Diamond? Found a killer setup?
EMA and VWAP by Phil VoEMA and VWAP by Phil Vo
Description
This indicator combines two powerful technical analysis tools: Exponential Moving Averages (EMAs) and Volume Weighted Average Price (VWAP). Designed to assist traders in identifying trends and key price levels, this script overlays two customizable EMAs and a daily VWAP on your chart.
* EMA 1 (Blue): A fast-moving EMA with a default period of 9, ideal for short-term trend analysis.
* EMA 2 (Red): A slower EMA with a default period of 21, useful for confirming longer-term trends.
* VWAP (Yellow): The Volume Weighted Average Price, calculated using the typical price (HLC3) and volume, resetting daily. It serves as a dynamic support/resistance level and reflects the average price weighted by volume.
Features
* Customizable EMAs: Adjust the periods of both EMAs via the settings (minimum period: 1).
* Visual Clarity: Each line is plotted in a distinct color (Blue for EMA 1, Red for EMA 2, Yellow for VWAP) with a linewidth of 2 for easy identification.
* Daily VWAP: The VWAP resets at the start of each trading day, providing a reliable intraday reference point.
* Tooltips: Hover over the input settings to see descriptions of each EMA period.
How to Use
1. Add the indicator to your chart.
2. Customize the EMA periods in the settings if desired (defaults are 9 and 21).
3. Use the EMAs to spot trends:
* When EMA 1 crosses above EMA 2, it may signal a bullish trend.
* When EMA 1 crosses below EMA 2, it may indicate a bearish trend.
4. Use the VWAP as a dynamic support/resistance level:
* Prices above VWAP might suggest bullish momentum.
* Prices below VWAP might indicate bearish pressure.
Settings
* EMA 1 Length: Set the period for the fast EMA (default: 9).
* EMA 2 Length: Set the period for the slow EMA (default: 21).
Notes
* The VWAP resets daily by default, making it most suitable for intraday trading.
* This script is open-source under the Mozilla Public License 2.0, so feel free to study or modify it!
Author
Created by Phil Vo. Happy trading!
How to Add This to TradingView
When you publish the script:
1. Paste the description above into the "Description" field in the "Publish Script" dialog.
2. Set the title as "EMA and VWAP by Phil Vo".
3. Choose "Public" visibility and "Open" access to share it with the community.
4. Add tags like "EMA", "VWAP", "Moving Average", "Trend", and "Volume" to help users find it.
This description provides a clear explanation of the indicator’s purpose, usage instructions, and customization options, making it accessible and helpful for TradingView users. Let me know if you’d like to adjust anything!
VIX Implied MovesKey Features:
Three Timeframe Bands:
Daily: Blue bands showing ±1σ expected move
Weekly: Green bands showing ±1σ expected move
30-Day: Red bands showing ±1σ expected move
Calculation Methodology:
Uses VIX's annualized volatility converted to specific timeframes using square root of time rule
Trading day convention (252 days/year)
Band width = Price × (VIX/100) ÷ √(number of periods)
Visual Features:
Colored semi-transparent backgrounds between bands
Progressive line thickness (thinner for shorter timeframes)
Real-time updates as VIX and ES prices change
Example Calculation (VIX=20, ES=5000):
Daily move = 5000 × (20/100)/√252 ≈ ±63 points
Weekly move = 5000 × (20/100)/√50 ≈ ±141 points
Monthly move = 5000 × (20/100)/√21 ≈ ±218 points
This indicator helps visualize expected price ranges based on current volatility conditions, with wider bands indicating higher market uncertainty. The probabilistic ranges represent 68% confidence levels (1 standard deviation) derived from options pricing.
Custom Volatility Price-Based IndicatorThis script provides an interactive volatility-based indicator that helps traders visualize key price levels based on the opening price, volatility (ATR), and the first 3 30-minute intervals of the trading day. It offers flexibility through user inputs for volatility adjustments, making it a customizable tool for assessing potential price movements and volatility for the current trading day.
Step 1: Input Volaiti
ATR Length: User-defined period for calculating volatility (default is 14).
Custom Multiplier Value: Allows users to adjust volatility with a multiplier. Defaults to using ATR if set to 0.
Step 2: Volatility Calculation
ATR Daily: Fetches the daily Average True Range (ATR) for volatility.
Volatility Adjustment: If the custom multiplier is used, it adjusts the ATR accordingly.
Step 3: Upper and Lower Levels
Opening Price: Displays the opening price of the current day.
Upper/Lower Levels: Calculated by adding/subtracting the adjusted volatility to/from the opening price.
Step 4: Plot Opening Price
Plots the Opening Price on the price scale in white.
Step 5: Highest and Lowest of First 3 30-Minute Intervals
Records the highest and lowest prices in the first three 30-minute intervals (9:30-11:00 AM).
Step 6: Adjusted Prices
Adjusted Top/Bottom: Adds/subtracts the ATR to the highest and lowest prices from Step 5 and plots them in purple and pink.
Plotting:
Displays the upper, lower, opening, and adjusted price levels as steplines in different colors for easy visualization.
This script helps traders visualize volatility-based levels, including the opening price and early market range, with customizable adjustments based on ATR.
Dynamic Open Levels# Dynamic Open Levels Indicator v1.0
Release Date: November 5, 2024
Introducing the Dynamic Open Levels indicator on TradingView! This tool helps traders visualize and analyze key opening price levels across multiple timeframes, making your market analysis more effective.
---
### Key Features
- Multiple Timeframes : Yearly, Quarterly, Monthly, Weekly, Daily, 4H, and 1H levels available.
- Visibility Controls : Easily toggle visibility for each timeframe to suit your trading style.
- Line Customization : Set custom thickness and colors for lines, making charts easy to interpret.
- Monthly: Purple
- Weekly: Blue
- Daily: Green
- 4H: Red
- 1H: Orange
- Dynamic Coloring : Lines adjust color based on market conditions—teal for bullish (`rgb(34, 171, 148)`) and coral for bearish (`rgb(247, 82, 95)`).
### Labels & Customization
- Real-Time Labels : Each level is labeled for easy identification (e.g., Y for Yearly, Q for Quarterly).
- Label Settings : Customize opacity, text color, size, and position for clarity without cluttering your chart.
- Sizes : Choose from tiny, small, normal, large, to huge.
- Offset : Set labels from 1 to 10 to position them precisely.
- Color Management : Organize all colors under a dedicated Line Colors group for easy adjustments.
### Advanced Plotting & Performance
- Real-Time Updates : Levels are updated dynamically with the latest open prices.
- Extended Lines : Lines extend to the right, offering a consistent reference for future price movement.
- Optimized Performance : Handles up to 500 lines efficiently to maintain smooth performance.
---
### Installation Instructions
1. Add to Chart :
- Go to the Indicators section in TradingView.
- Search for Dynamic Open Levels and add it to your chart.
2. Customize Settings :
- Line Thickness : Adjust to suit your preference.
- Visibility : Toggle timeframes like Yearly, Monthly, Weekly, etc., as needed.
- Labels : Configure opacity, text color, size, and offset under the Label Settings group.
---
### Documentation & Support
For guidance on using the Dynamic Open Levels indicator, visit our Documentation (#). If you need assistance, check out our Support Channel (#).
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Thank you for choosing Dynamic Open Levels . Stay tuned for future updates that will continue to improve your trading experience!
H A Z E D
Dual Timeframe Williams Percent RangeThis is a dual timeframe Williams Percent Range indicator.
Function:
The idea behind this indicator is for trader to see what the Williams %r is doing on higher timeframes without the need to change the chart. I added the "Smoothing" function to take the jagged lines out of the higher timeframe. It has a better flow this way.
If we choose the 4H and the Daily timeframes for example. In this bullish situation I wait for the Daily WPR to cross above the -50 mid line. Then the faster 4H WPR will eventually hit the bottom and begin to rise again back into the trend.
This is the "Reset" of the 4H WPR and when the 4H WPR crosses up above the -50 mid line again it means price should begin to rise on the chart. I added the option to change the colour when the signal lines cross the -50. It is good to use a fast time frame so you can see the WPR hitting the bottom in an uptrend, but not too fast.
The Heiken Ashi candle sticks are a very good addition to this system. You can also use a colour changing 200 EMA if you run the "1H/Daily" in the WPR. Or the 50 EMA if you run the Daily 4H.
This system could be used on lower timeframes too but I have not tested it there.
The Dual WPR indicator, the colour changing 50 EMA and Heiken Ashi have been optimised for the 4H/Daily.
If you want to set alerts the the faster WPR line crossing the -50 is good, on candle close.
This way you will only need one alert per chart.
If you get an alert on the EURUSD 4H that the 4H WPR has crossed up then look to see what what the Daily WPR is doing. If it is also above the -50 mid line then EURUSD is probably trending up.
Thank you to TradingView for supplying the Williams %r template.
I hope this helps some other traders out there.
I combined the Supertrend and the Coloured EMA in the main screen into one indicator.
This is my first indicator published :-)
Have fun out there and good luck.
Eddie T.
Stocksgeeks MBIThis indicator displays the Stocksgeeks market breadth dashboard for NSE (India) stocks.
Market breadth provides insights into the participation of stocks in a market's movement & the conviction in the overall mood of the underlying index. Various interpretations of market breadth exist, including gauging the quantity of new highs and new lows, or the number of advancing & declining stocks, or the percentage of stocks above or below certain moving averages.
This dashboard includes the following metrics:
4R
A count or ratio of advancing & declining stocks objectively depicts their participation in an index or stock universe. A positive market breadth is said to happen when more stocks are advancing than are declining.
The 4R column is based on 4% advances & declines.
The advances are calculated as the number of stocks having a daily percentage change ≥ 4% divided by the total number of stocks having a daily percentage change < -4%.
4R is the ratio between NSE (India) stocks advancing or declining by 4% daily.
4 chg is the % change from yesterday’s 4R value to today’s 4R value.
20R
When most of the stocks are trading above a specific moving average, the market breadth is termed strong. This dashboard uses 20-day EMA for short-term timeframes.
20R is the ratio between the % of NSE (India) stocks above & below the 20-day moving average.
20 chg is the % change from yesterday’s 20R value to today’s 20R value.
50R
For medium to long-term timeframes, this dashboard uses 50-day EMA.
50R is the ratio between the % of NSE (India) stocks above & below the 50-day moving average.
50 chg is the % change from yesterday’s 50R value to today’s 50R value.
52WH &52WL
These 2 columns display the net number of stocks on NSE (India) making new 52-week highs or new 52-week lows. A market is considered strong (bullish) when new highs exceed new lows.
Interpretation
The 52 week highs must be greater than 52 weeks lows for a bullish bias.
This is how the individual columns are coded:
4R: above 200 is green, below 50 is red
20R: above 75 is green, below 50 is red
50R: above 85 is green, below 60 is red
For all the changes (4 chg, 20 chg, 50 chg): above 20 is green and below -20 is red
To decide the overall color for the day, we subtract the number of red boxes from the number of green boxes for the day. If the output is greater than equal to 3, then the day color is green, and if this is less than equal to -3 then the day color is red. In case of no consensus, the overall day color is neutral.
The color of the 20R & 50R indicates the trend (green is uptrend, & red is downtend). The color of the 4R column & the chg columns (4 chg, 20 chg, 50 chg) indicates the strength of the trend.
Features
⦿ Expanded mode : This is the default state & displays the market breadth for the past 10 days.
⦿ Mini mode : This displays only the overall color for the day.
⦿ One-day mode : Turning off both the expanded & the mini mode displays the one-day mode, which displays the market breadth columns for the current day only.
⦿ Dark mode : One-click dark mode, as usual.
Dependency
The script uses the Pine Seeds service to import custom data hosted in a GitHub repository and accesses it via TradingView as the frontend. So, the number of bars appearing on charts is fully dependent on the amount of historical data available. Any error or omission, if there, is a reflection of the hosted data, & not that of Tradingview.
Limitations
Such data has some limitations, like it can only be updated at EOD (End-of-Day), & only daily-based timeframes can be applied to such data. Irrespective of the intraday changes, only the last saved value on the chart is seen. So, it's best to use this script as EOD, rather than intraday. At the time of publication of this script, 375 days of historical data was available.
Credits
The Stocksgeeks interpretation of the market breadth is from Umang , who has graciously allowed his concepts to be coded into a script for TradingView. This script uses the NSE Market Breadth data from Chhirag_Kedia via a pine seed from EquityCraze . Hats off to these amazing individuals, without whose efforts, such scripts wouldn't have seen the light of this day!
NSE Market Breadth based on 4% Advance & DeclineThis indicator displays a ratio count of NSE (India) stocks advancing or declining by 4% daily.
Market breadth provides insights into the participation of stocks in a market's movement.
Various interpretations of market breadth exist, including gauging the quantity of new highs and new lows or evaluating up and down volume. Nevertheless, all breadth indicators fundamentally stem from the same basic concept, which can be expressed mathematically as the number of advancing & declining stocks.
Thus, a count or ratio of advancing & declining stock objectively depicts the participation of stocks in an index or stock universe.
A 4% advance or decline shows a significant range expansion.
⦿ The script calculates advances as a ratio of the daily percentage change ≥ 4% & the total number of stocks.
⦿ Declines are calculated as a ratio of the daily percentage change < -4% & the total number of stocks.
⦿ Net breadth is simply calculated by subtracting the declines from the advances. (4% up - 4% down). This depicts whether the day was bearish or bullish.
Green area depicts the 4% advances.
Red area depicts the 4% declines.
The table provides the actual values for the Advances, declines & the net breadth for the day.
There is an option to turn on dark mode in the settings.
There is an option to display only the net breadth .
You can turn on the Expanded mode for the table which will display the data for the past week.
Among other options, you can choose to not display colors in the table .
There is an option plot ' comfort' levels ' of +/- 10 also.
Interpretation
A market where advances are more than declines is indicative of a healthy bull market. But extreme breadth can signal exhaustion, often leading to a reversal. This is true in case of advances as well as declines.
If a market continues to rise while breadth does not increase, this is considered a divergence, which frequently leads to a reversal of the prevailing trend.
Dependency:
The script uses the Pine Seeds service to import custom data hosted in a GitHub repository and accesses it via TradingView as the frontend. So, the number of bars appearing on charts is fully dependent on the amount of historical data available. Any error or omission, if there, is a reflection of the hosted data, & not that of TradingView.
Limitations:
Such data has some limitations, like it can only be updated at EOD (End-of-Day), & only daily-based timeframes can be applied to such data. Irrespective of the intraday changes, only the last saved value on the chart is seen. So, it's best to use this script as EOD, rather than intraday.
At the time of publication of this script, historical data was available till the year 2004.
The universe of stocks chosen for the data is all stocks with latest Close >= 1 and Market Cap > 10.
Credits:
NSE Market Breadth data is from Chhirag_Kedia , & the Pine seeds are courtesy of EquityCraze
RVol LabelThis Code is update version of Code Provided by @ssbukam, Here is Link to his original Code and review the Description
Below is Original Description
1. When chart resolution is Daily or Intraday (D, 4H, 1H, 5min, etc), Relative Volume shows value based on DAILY. RVol is measured on daily basis to compare past N number of days.
2. When resolution is changed to Weekly or Monthly, then Relative Volume shows corresponding value. i.e. Weekly shows weekly relative volume of this week compared to past 'N' weeks. Likewise for Monthly. You would see change in label name. Like, Weekly chart shows W_RVol (Weekly Relative Volume). Likewise, Daily & Intraday shows D_RVol. Monthly shows M_RVol (Monthly Relative Volume).
3. Added a plot (by default hidden) for this specific reason: When you move the cursor to focus specific candle, then Indicator Value displays relative volume of that specific candle. This applies to Intraday as well. So if you're in 1HR chart and move the cursor to a specific candle, Indicator Value shows relative volume for that specific candlestick bar.
4. Updating the script so that text size and location can be customized.
Changes to Updated Label by me
1. Added Today's Volume to the Label
2. Added Total Average Volume to the Label
3. Comparison vs Both in Single Line and showing how much volume has traded vs the average volume for that time of the day
4. Aesthetic Look of the Label
How to Use Relative Volume for Trading
Using Relative Volume (RVol) in trading can be a valuable tool to help you identify potential trading opportunities and gain insight into market behavior. Here are some ways to use RVol in your trading strategy:
Identifying High-Volume Breakouts: RVol can help you spot potential breakouts when the volume surges significantly above its average. High RVol during a breakout suggests strong market interest, increasing the probability of a sustained move in the direction of the breakout.
Confirming Trends and Reversals: RVol can act as a confirmation tool for trends and reversals. A trend accompanied by rising RVol indicates a strong and sustainable move. Conversely, a trend with declining RVol might suggest a weakening trend or potential reversal.
Spotting Volume Divergence: When the price is moving in one direction, but RVol is declining or not confirming the move, it may indicate a divergence. This discrepancy could suggest a potential reversal or trend change.
Support and Resistance Confirmation: High RVol near key support or resistance levels can indicate potential price reactions at those levels. This confirmation can be valuable in determining whether a level is likely to hold or break.
Filtering Trade Signals: Incorporate RVol into your existing trading strategy as a filter. For example, you might consider taking trades only if RVol is above a certain threshold, ensuring that you focus on high-impact trading opportunities.
Avoiding Low-Volume Traps: Low RVol can indicate a lack of interest or participation in the market. In such situations, price movements may be erratic and less reliable, so it's often wise to avoid trading during low RVol periods.
Monitoring News Events: Around significant news events or earnings releases, RVol can help you gauge the market's reaction to the information. High RVol during such events can present trading opportunities but be cautious of increased volatility and potential gaps.
Adjusting Trade Size: During periods of extremely high RVol, it might be prudent to adjust your position size to account for higher risk.
Using Relative Volume in Morning Session
If the Volume traded in first 15 minute to 30 Minutes is already at 50% or 100% depending upon the ticker, it means that it is going to have very high Volume vs average by end of the day.
This gives me conviction for Long or Short Trades
Remember that RVol is not a standalone indicator; it works best when used in conjunction with other technical and fundamental analysis tools. Additionally, RVol's effectiveness may vary across different markets and trading strategies. Therefore, backtesting and validating the use of RVol in your trading approach is essential.
Lastly, risk management is crucial in trading. While RVol can provide valuable insights, it cannot guarantee profitable trades. Always use appropriate risk management strategies, such as setting stop-loss levels, and avoid overexposing yourself to the market based solely on RVol readings.
Neon Juliet - PreviewThere is no TLDR, but there is a summary at the end. I strongly encourage to read full description before trying it out. Enjoy!
Background
=========
Having successful and adamant trading systems typically consists of two (oversimplified) elements: signals and risk management system. In most zero-sum games, such as trading, signals must offer an advantage against the market, and risk management system provides a safety mechanism to allow the system to exist in the future. Let me explain.
Say, I have a solid risk management system: it is diversified, with take profit and stop loss thresholds set for low risk, on average I trade less than 3% of my assets, and there’s a loss recovery mechanism, etc. Hypothetically, it’s pristine. Now, let’s trade this portfolio against a flip of a coin, essentially a signal that provides 50% probability of things turning out in my favour. How profitable is such system? My answer: it isn’t. I might be able to sustain this system for some time, but eventually this system is going to have to loosen risk restrictions to stay ahead of the commissions and borrowing costs, resulting in overtime detrimental trend.
Conversely, if the signals provide greater than 50% confidence of things turning out in my favour, but risk management is poor, I’d expect such system to end up in a disaster soon, perhaps after a few euphoric gains. (I’d isolate a top-notch signals, say >90% confidence, in another bucket, but this idealistic system is non-achievable in my practice, so I’ll leave it be)
Neon Juliet was developed to offer an advantage against given markets. Probabilities generated by this model are statistical historical outcomes. This model developed using only price action and is unable to consume any other data or price data across instruments. In other words, it doesn’t know anything you don’t see already on a chart.
Neon J performs best on complex instruments where there’s great diversity of actors and considerable daily volume .
Methodology
==========
In principle, Neon J is based on Bayes’ Theorem. Simply put, prior knowledge of price action ( aka patterns) provides basis for probability of future price action development (ex. long or short trend).
The training process is implemented outside of this script mainly due to Pine Script limitations. This script, however, contains inference portion of the model.
As input for training, daily candle data is used. From this data, feature engineering step of the training develops features, like price average divergence/convergence (think MACD ), price strength (think RSI , ADX ); multiple periods used to diversify long and short patterns. This is done to develop a “state” that is reflective of recent price development. Ex. what we’d call a trend is just a strong and consistent upward price action, but we’d need to look at most recent N candles and their pattern to know that.
Once features are developed, I train a model using Reinforcement Learning technique. Simply put, this technique allows an agent to interact with a trading simulator and take actions (ex. go long, go short, etc.). After many iterations, the agent learns conditions (patterns) that lead to positive outcomes and those that lead to negative outcomes. This learning is quantitative, which means there’s a way to tell which probabilities are strong and which are weak. These probabilities are indicated by this script.
Trained Neon J models are instruments-specific. Meaning, that model for DJI is not compatible with SP500 or any other instrument. Experimentally, I proved that such approach over-performs generalizable models (those that are trained on data from multiple instruments)
Neon J currently only support daily time frame. The limitation is purely practical to reduce the development load and model size.
Results
======
Tests show 60%-70% success rate (on average, some instruments are worse than that, some better) of individual signal when threshold is set to 0.3 (roughly equivalent to 65% probability). This is calculated with Pine Script Strategy with the following entry/exit rules:
Entry when individual signal (a dot) is above 0.3 (long) or below -0.3 (short)
Exit when 14-period smooth signal (a column) is above 0.0 (short exit) or below 0.0 (long exit)
No stop loss or take profit levels.
Pyramiding is set to 100 (to allow unrestricted action of all signals)
All trades are closed on last tested bar (to conclude all signals in-flight)
Percent Profitable is what we take as success rate in the context of this assessment. This number represents how many signals were profitable vs all signals actioned.
It is also worth noting that this assessment was performed on a time period previously unseen by the model. Simply put, we only train a model with data up until date X, then we test starting from date X onward. This ensures that the assessment is unbiased by the model already “knowing” the future. In practice, this gives confidence that future (unknown) market dynamics is going to be representative of our test results.
Be aware, the above “strategy” is not my recommended usage of this signal, it is simply an assessment technique that is meant to be as simple and unconstrained as possible.
How to use this script
================
The script calculates a probability. A term probability here is used in a loose form and means “a numeric value in roughly -1 to 1 space that represents the likelyhood of bullish or bearish price action”. Keep in mind that probability values can go over 1.0 or below -1.0. This is due to the fact that these value are normalized to -1/1 space using 95-percentile (this detail is largely unimportant for usability’s sake).
Indications
--------------
Dots (circles) indicate individual probability value on any given bar. Indicated value on a given bar indicates the probability of future price action. High (positive) values indicate high probability of long action in the future. Low (negative) values indicate high probability of short action in the future. You should interpret future as a gradient (a trend developing slowly over time) instead of being isolated to what’s immediately follows (ex. next bar)
Columns (histogram) provided as convenient view of smoothed probabilities of last N bars. This is controlled by the Smoothing parameter and defaults to 14.
Parameters
---------------
Model parameter is the backbone of this script. It is a required parameter and it is unique for each instrument. Example models provided at the end (see below). This parameter is a long 10000+ character representation of a model.
The script has two additional parameters for configuring interpretation: Threshold and Smoothing.
Threshold controls the level at which values change color (ex. above 0.3, turn neon blue, and below -0.3 turn neon purple).
Smoothing parameter provides a way to smooth out individual probabilities into a exponential moving average with the periods provided. This average is indicated using columns on the indicator.
Model expiration
----------------------
Models are valid for 1 month after training. This is done by design to prevent model deterioration. A month is proven to be a maximum period of time to hold model performance steady. After that, deterioration is likely to occur. Optimal time for model lifetime is 10 days (this is what I use for live trading), and of course most optimal (but unpractical for now) is to re-train daily.
Validity indicated with blue-tinted indicator background, while red-tinted background indicates expired period.
Preview
======
This script is released as a public script for anyone to try. My motives for this release are two-fold:
To subject the model to a variety of conditions, including traders with different experiences trading different instruments (subject to specific models offered of course). Essentially, my own testing is not enough to grasp a full breadths of scenarios. I’d like to harden it and understand where it is strong and where it might fall short (pun intended).
Get an idea on how Neon J might be useful when making trading decision. I tried to make the representation of the signals unconstrained and unopinionated, so there’s room to explore and experiment. I found that Neon J can be packaged in a number of different ways.
At this moment the script is closed-source. I might consider open-sourcing this script in future depending on how much feedback I get from this submission and whether it’d be deemed useful to others.
Summary
=======
Neon J is a set of probabilistic models for predicting future price action with ~65% accuracy. It indicates individual signals (circles) for probability of price action in a foreseeable future, while smoothed signals (columns) are provided for a more dynamic view of probable price action. Blue circle - strong long probability; Purple circle - strong short probability. Blue column - strong long trend ahead or in-progress; Purple column - strong short trend ahead or in-progress.
To use it, copy models below and provide them an input to “model” parameter when applying to a chart. Models are instrument-specific. Only daily (D) charts should be used.
The script is provided for evaluation purposes.
Models!
======
At last, here are the models (a piece of text you need to input in script parameters for each instrument)
TVC:DJI :
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VANTAGE:SP500 :
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BINANCE:BTCUSD
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For more models, see a link on bio (description length limitation in this description restricts me to publish more).
Unimportant details
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“Neon” is the project code name, “J” is the iteration (versions “A” to “I” all led to a solid “J”)
Formatting options here make formatting very difficult, so forgive me poor readability.
Expected Move PlotterI get a lot of requests about my indicators that I use. Unfortunately, at this time I cannot make those public but I thought about creating a makeshift alternative people could use as a reference.
I came up with this very simple yet extremely effective indicator. I call it the average or expected move plotter, but its essentially the average move plotter.
All it does is it averages out the move from open to high and low on a monthly, weekly and daily basis over the past 5 days and plots the expected move.
It really is that simple!
I have broken it down by month, week and day, so you can see the average expected move on whichever time frame you prefer.
I will use TSLA as the example.
Here is the daily:
Here is the weekly:
And here is the monthly:
You can switch between whichever timeframe you are working on and it permits all traders (day traders and swing traders) to assist in setting realistic target prices within their desired time frame.
It works on any stock, index, commodity or future.
I have also ensured that it will work with Heikin Ashi candles, for those (like myself) who are fond of those candles.
Let me know if you have any questions and if you like it!
Take care everyone and trade safe!
*SSS 50% HTF** SSS 50% - HTF (Higher Timeframe) -D/W/M/Q Edition **
This indicator is based on Sara Strat Sniper's - 50% Rule for trading Outside Bars and helps you visual the method quickly.
This indicator allows you to select: Outside: Day/Week/Month/Quarter Warning Levels with Previous High and Low Levels available within the indicators settings.
Please note - Daily warning and high/low levels are set to the indicators default. Feel free to change and save as required. Any issues let me know. See known issues below.
** Indicator Setup Requirements **
For Indicator to correctly display the 50% price level you need to setup your chart correctly. Right-click your chart background, select Settings, select Scales and Tick “Indicator Last Value Label". Now your 50% Price level will be displayed.
Known Issues:
This indicator does not work when you try to view a lower timeframes levels on a higher timeframe chart.
Example 1: Selecting Daily Warning, High and Low Levels will not be displayed correctly on a Weekly timeframe and above etc. The Daily selection however will be displayed correctly on all lower timeframes from the 1 minute chart to the Daily.
Example 2: Selecting Weekly Warning, High and Low Levels will not be displayed correctly on a Monthly timeframe and above etc. The Weekly selection however will be displayed correctly on all lower timeframes from the 1 minute chart to the Weekly. Please apply these same rules for all other timeframe indicator selections.
Monthly Warning, High and Low levels will not work correctly on a Weekly chart when the current Weekly candlestick is forming between the end of a previous Month and start of new Month. Once the first Weekly candle of a new Month closes the Monthly levels will now be displayed correctly. Please note, selecting the Monthly levels when viewing a Monthly chart will work as normal and Monthly levels displayed on a Weekly chart will be corrected once the first Weeks candle has closed. I believe this error is caused by a pine script repainting issue when assessing historical price data which is out of my limited scripting brains control.
Multi-timeframe Dashboard for RSI And Stochastic RSI Dashboard to check multi-timeframe RSI and Stochastic RSI on 4h, 8h, 12h, D and W
Great side tool to assist on the best time to buy and sell and asset.
Shows a green arrow on a good buy moment, and a red when to sell, for all timeframes. In case there are confluence on more than one, you have the info that you need.
Uses a formula with a weight of 5 for RSI and 2 for Stochastic RSI, resulting on a factor used to set up a color for each of the timeframes.
Legend per each timeframe:
- Blue: Excellent buy, RSI and Stoch RSI are low
- Green: Great buy, RSI and Stoch RSI with a quite positive entry point
- White: Good buy
- Yellow: A possible sell, depending on combination of timeframes. Not recommended for a buy
- Orange: Good sell, depending on combination of timeframes
- Red: If on more than one timeframe, especially higher ones, it is a good time to sell
For reference (But do your own research):
- Blue on Weekly: Might represent several weeks of growth. Lower timeframes will cycle from blue to red, while daily and Weekly gradually change
- Blue on Daily: Might represent 7-15 days of growth, depending on general resistance and how strongly is the weekly
PS: Check the RSI, Stochastic RSI and other indicators directly as well
TV Day Plan Template 1This is a template for daytraders, swing traders, supply and demand traders, and even swing traders. As traders we are always scanning charts for levels and zones. This template makes it easy and convenient to find, change, and chart levels. As a daytrader, I will use this daily. I always have daily and weekly targets in mind. This will ensure I don't lose track of the bigger picture while trading the smaller moves. Levels in this chart are not auto calculated. They are manually input. This script is a quick and convenient way to chart multiple levels without having to go through each drawing, change the settings, and then redraw the level. Currently this will only save levels for one ticker. A workaround is to use multiple instances and then hide the ones not in use. Another way is to use the second part to this script, Day Plan Levels Template 2. If only using one instance, you can save the levels as default. This will save them. However, if saving levels as default while using multiple instances of this indicator, the other levels will erase. The way that I use this that I have daily levels for #ES in one instance and then daily levels for #NQ in another instance.
This script is very customizable
Options include
On/Off Toggles
Light/Heavy Versions - Light versions does not plot. Heavy version will plot and show levels in info bar and price axis
Balance Levels
Control Levels
3 Support and 3 Resistance levels for daily and weekly
2 Support and 2 Resistance Clouds
Balance and Control Clouds
"0" value disables and hides levels
Key Levels SpacemanBTC IDWMKey levels, plotted automatically
Additional timeframes can be added on request
Useful for seeing strength of the trend in the market
Pivot Fibonacci TradingWe use fibonacci in many things, why not the Pivot? Hey, it does works, price does reacts to the fibonacci off the pivot.
Pivots are road map for the price, fibonacci are just some stops or gas stations appear on the road, with these additional lines, there's more time for price to think about which way it'd move, therefore, more time for us traders to track and follow.
I know they usually use Daily pivot in H1, Weekly in H4 and Monthly in Daily timeframe, but since there are more lines now, price now needs space to travel between line. I recommend using Weekly Pivot for intraday(H1,...), Monthly for H4 and Yearly for Daily.
I also add some text that shows current day's range in pips (High - Low = range) and compare it to Average Daily Range. I thinks this is helpful if you use it for day trading.
I'll let this as a open sources as you may find something to customize in your own way.
Hope this helps you in someway, community :)
Happy trading!
#Thanks to @Davit on forexfactory for the idea
Realized VolatilityRealized / Historical Volatility
Calculates historical, i.e. realized volatility of any underlying. If frequency is not the daily, but for example 6h, 30min, weeks or months, it scales the initial setting to be suitable for the different time frame.
Examples with default settings (30 day volatility, 365 days per year):
A) Frequency = Daily:
Returns 30 day historical volatility, under the assumption that there are 365 trading days in a year.
B) Frequency = 6h:
Still returns 30 day historical volatility, under the assumption that there are 365 trading days in a year. However, since 6h granularity fits 4 times in 24 hours, it rescales the look back period to rather 30*4 = 120 units to still reflect 30 day historical volatility.
Linh Index Trend & Exhaustion SuitePurpose: One overlay to judge trend, reversal risk, overextension, and volatility squeezes on indexes (built for VNINDEX/VN30, works on any symbol & timeframe).
What it shows
Trend state: Bull / Bear / Transition via 20/50/200 EMAs + slope check.
Overextension heatmap: Background paints when price is stretched vs the 20-EMA by ATR or % (you set the thresholds).
Squeeze detection:
Squeeze ON (yellow dot): Bollinger Bands (20,2) inside Keltner Channels (20,1.5).
Squeeze OFF + Release: White dot; script confirms direction only when close > BB upper (up) or close < BB lower (down).
52-week context: Distance to 52-week high/low (%).
Higher-TF alignment: Optional weekly trend reading shown on the label while you’re on the daily.
Anchored VWAP(s): Two optional AVWAPs from dates you choose (e.g., YTD open, last big gap/earnings).
Plots & labels
EMAs 20/50/200 (toggle on/off).
Optional BB & KC bands for diagnostics.
AVWAP #1 / #2 (optional).
Status label with: Trend, EMAs, Dist to 20-EMA (%, ATR), 52-week distances, HTF state.
Built-in alerts (set “Once per bar close”)
EMA10 ↔ EMA20 cross (early momentum shift)
EMA20 ↔ EMA50 cross (trend confirmation/negation)
Price ↔ EMA200 cross (long-term regime)
Squeeze Release UP / DOWN (BB breakout after squeeze)
Overextension Cool-off UP / DN (stretched vs 20-EMA + momentum rolling)
Near 52-week High (within your % threshold)
How to use (playbook)
Map regime: Prefer trades when Daily = Bull and HTF (Weekly) = Bull (shown on label).
Hunt expansion: Yellow → White dot and close beyond BB = fresh move.
Avoid chasing stretch: If background is painted (overextended vs 20-EMA), wait for a pullback or intraday base.
Locations matter: 52-week proximity + HTF Bull improves breakout quality.
Anchors: Add AVWAP from YTD open or last major gap to frame support/resistance.
Suggested settings
Overextension: ATR = 2.0, % = 4.0 to start; tune per index volatility.
Squeeze bands: BB(20,2) & KC(20,1.5) default are balanced; tighten KC (1.3) for more signals, widen (1.8) for fewer/higher quality.
Timeframes: Daily for signals, Weekly for bias. Optional 65-min for entries.
HTF Candles and Regression Channel [100Zabaan]🟢🟢 HTF Candles and Regression Channel 🟢🟢
🟡 Overview
This is a powerful multi-timeframe analysis tool designed to help traders understand the overall market context and structure at a glance. It provides a comprehensive view of the price trend across multiple timeframes, from long-term (weekly) to short-term (one-minute), all simultaneously on a single chart.
This tool assists your market analysis in two primary ways:
Displaying recent candles from higher timeframes to quickly grasp the strength, momentum, and overall trend context on different scales.
Displaying automatic linear regression channels to visually identify the direction, slope, and strength of the trend in your selected time periods.
🟡 Key Features
1. Multi-Timeframe Candle Viewer
In a separate pane below the main chart, this indicator displays the last N candles (adjustable number) from various timeframes (Weekly, Daily, 4-Hour, etc.).
This feature allows you to easily compare the trend strength and volatility across different timeframes and assess the current price position within the context of larger trends.
For instance, if you set the number of candles to 50, you can simultaneously monitor the last 50 candles from various timeframes like weekly, daily, 4-hour, 1-hour, 15-minute, 5-minute, and 1-minute, all within a dedicated pane.
Additionally, descriptive labels guide you, indicating the time period covered by each timeframe's set of candles.
Robust and Optimized Data-Fetching Mechanism: To render the candles, the indicator uses box and line objects and fetches data from multiple timeframes. The data-fetching engine has been specifically designed for high stability and performance. This allows you to reliably view a large number of candles from high timeframes (e.g., 60 weekly candles) even while on a very low timeframe like the one-minute chart, without encountering common historical data loading errors.
2. Automatic Linear Regression Channels
The indicator automatically plots linear regression channels for various time periods directly on your main price chart. This allows you to examine the price trend's path across different timeframes.
For better readability, the labels and their corresponding regression channels for each timeframe are color-coordinated.
Key Difference: Unlike standard tools that often focus on the closing price “Close”, this indicator uses the average price of a candle “OHLC4” to calculate the central regression line. The advantage of this approach is a more balanced and stable representation of the trend, which is less affected by sharp price fluctuations within a single candle.
Furthermore, the upper and lower channel boundaries are drawn based on a fraction of the period's maximum volatility, rather than the standard deviation, leading to a channel that adapts more effectively to the actual price action.
🟡 How to Use & Input Settings
Add the indicator to your chart
Go to the indicator's settings
In the Inputs tab, adjust the values according to your strategy:
Number of Candles to Display: Specify the number of recent candles to show in the bottom pane.
Show Time Period Labels: Toggle the visibility of labels that show the time span covered by each timeframe.
Show Regression Channels: Toggle the visibility of the regression channels on the main chart.
Timeframe Selection: Choose which timeframes you want to be displayed.
Style Settings: Configure the color and thickness of the regression lines to match their labels.
🟡 Important Notes & Limitations
No Repainting: This indicator is designed to be non-repainting. The values displayed are fixed once a candle closes. (Note: The values on the current, real-time candle will update until it closes).
Compatibility: This indicator is compatible with all symbols but is designed for optimal performance on timeframes lower than Daily.
Chart Timeframe Dependency: The indicator automatically hides timeframes in the bottom pane that are smaller than your current chart's timeframe. To view all possible resolutions, set your chart to the 1-minute timeframe.
Time Period Display Precision: The labels indicating the time duration (e.g., "1.2 years") may show approximate values due to rounding and are not intended to be perfectly precise.
Note Regarding the Source Code: The core logic of this indicator, especially the proprietary formulas used, is the result of personal research and development. To preserve this unique methodology and ensure its integrity for future developments, this version is released as closed-source. However, we have made every effort to fully and transparently describe the indicator's logic and operational process in the explanations.
🔴 Disclaimer
This indicator is provided for educational, informational, and analytical purposes only and should not be considered as financial advice or a definitive signal for buying or selling. Past performance is not indicative of future results. All investment and trading activities involve risk, and the user is solely responsible for any profits or losses. Please conduct your own research and consult with a qualified financial advisor before making any financial decisions.
🔴 Developers: Mr. Mohammad sanaei
⭐️⭐️ Feel free to share your feedback in the comments ⭐️⭐️
این اندیکاتور یک ابزار تحلیلی چند-زمانی قدرتمند است که به معاملهگران کمک میکند تا با یک نگاه، زمینه و ساختار کلی بازار را درک کرده و دیدی جامعی از روند قیمت و تایمفریمهای بلندمدت (هفتگی) تا کوتاهمدت (یک دقیقه)، به طور همزمان روی یک نمودار به دست آورند.
این ابزار از دو طریق به شما در تحلیل بازار کمک میکند:
نمایش کندلهای اخیر تایمفریمهای بالاتر برای درک سریع قدرت، مومنتوم و بررسی کلی روند در مقیاسهای مختلف.
نمایش کانال رگرسیون خطی خودکار برای تشخیص بصری جهت، شیب و قدرت روند در بازههای زمانی منتخب شما.
🔴 توسعه دهندگان: محمد ثنائی
⭐️⭐️ لطفاً نظرات خود را در کامنتها با ما در میان بگذارید; از خواندن بازخوردهای شما خوشحال میشویم. ⭐️⭐️
