NFP High/Low Levels PlusNFP High/Low Levels Plus
Description:
This indicator stores the 12 most recent NFP (Non-Farm-Payroll) days and their values.
Values are captured from 0830 (NFP Release) until close of market
The High and Low values for each NFP month are drawn on the chart with horizontal lines.
- Labels indicating the month's high or low line are placed after the line
- Optionally the high/low price can be displayed additionally
Support and Resistance boxes can be drawn at the closest NFP level above and below the
current price.
- Boxes will automatically update as prices cross the NFP value
Macro Indicator
- This option displays a small table in the top right corner that says "Up" or " Down"
- The Macro Indicator can be used to judge the potential direction for the current month
- Macro direction is calculated by the following:
- UP: If two consecutive days both open and close above the most recent NFP High level
- DOWN: If two consecutive days both open and close below the most recent NFP Low level
Micro Indicator
- This option displays a small table in the top right corner that says "Up" or " Down"
- The Micro Indicator can be used to judge the potential direction for low timeframes 1H or
lower
- Micro direction is calculated by the following:
- UP: If two consecutive 10m candles close above the 20EMA
- DOWN: If two consecutive 10m candles close below the 20EMA
NFP Session Bars
- This feature draws an arrow at the bottom of the chart for each candle that falls within the
NFP session day
- This is useful for identifying NFP Days
Support / Resistance Table
- This displays a table bottom center showing the nearest high and low NFP line level
What is an NFP Day and why is it useful to add to my chart?
- NFP Days are one of the most important data releases monthly
- NFP (Non-Farm-Payroll) is the official release of 80% of the US workforce employed in
manufacturing, construction, and goods
- It does not include those who work on farms, private households, non-profit and
government workers
- Historically these high/low levels for the day create strong support and resistance levels
- Having them displayed on the chart can help identify potential strong levels and pivot points
Full Indicator with all options enabled and identified
Easily update NFP Release Days in the indicator settings
Modify various options: Show/Hide lines, labels, directional indicator tables, values tables
Adjust line width, offsets, colors, font sizes, box widths
Enable individual Directional Indicators and modify colors
Example of full indicator enabled
You can find a list of the NFP Release Schedule on the official US Bureau of Labor Statistics website. This is useful for updating the indicator settings with the correct dates
ابحث في النصوص البرمجية عن "美联储议息会议12月时间"
RSI & EMA IndicatorMulti-Timeframe EMA & RSI Analysis with Trend Merging Detection
Overview
This script provides traders with a multi-timeframe analysis tool that simplifies trend detection, momentum confirmation, and potential trend shifts. It integrates Exponential Moving Averages (EMAs) and the Relative Strength Index (RSI) across Daily, Weekly, and Monthly timeframes, helping traders assess both long-term and short-term market conditions at a glance.
This script is a simplification and modification of the EMA Cheatsheet by MarketMoves, reducing chart clutter while adding EMA merging detection to highlight potential trend reversals or breakouts.
Originality and Usefulness
Unlike traditional indicators, which focus on a single timeframe, this script combines multiple timeframes in a single view to offer a comprehensive market outlook.
What Makes This Indicator Unique?
This Indicator to Combine RSI and EMA Clouds for Multiple Timeframes
Multi-Timeframe Trend Analysis in One Visual Tool
EMA Merging Detection to Spot Trend Shifts Early
Momentum Validation Using RSI Across Daily, Weekly, and Monthly Timeframes
Reduces Chart Clutter While Providing Actionable Trade Signals
I couldn't find a TradingView indicator that displayed RSI and EMA clouds together across Daily, Weekly, and Monthly timeframes. This tool bridges that gap, allowing traders to see trend strength and momentum shifts across key timeframes without switching charts.
How the Script Works
1. Trend Direction via EMAs
The script tracks Short-term (5 & 12-period), Medium-term (34 & 50-period), and Long-term (72 & 89-period) EMAs across Daily, Weekly, and Monthly timeframes.
Bullish trend: When faster EMAs are above slower EMAs.
Bearish trend: When faster EMAs are below slower EMAs.
A visual table simplifies trend recognition with:
Green cells for bullish alignment.
Red cells for bearish alignment.
This color-coded system allows traders to quickly assess market momentum across different timeframes without excessive manual analysis.
2. Momentum Confirmation with RSI
The RSI(14) values for Daily, Weekly, and Monthly timeframes are displayed alongside the EMAs.
RSI above 70 suggests overbought conditions.
RSI below 30 suggests oversold conditions.
By combining RSI with EMA trends, traders can confirm whether momentum supports the trend direction or if the market is losing strength.
3. Trend Shift Detection (EMA Merging Mechanism)
A unique feature of this script is EMA merging detection, which occurs when:
The short, medium, and long-term EMAs come within 0.5% of the price.
This often signals trend reversals, breakouts, or consolidations.
When this condition is met, a warning signal appears, alerting traders to potential market shifts.
Who This Indicator Is For?
This script is designed for traders who want to track trends across multiple timeframes while keeping a clean and simplified chart.
Swing & Position Traders – Identify strong trends and potential momentum shifts for longer-term trades.
Trend Followers – Stay aligned with major market trends and avoid trading against momentum.
Day Traders – Use the Daily timeframe for entries while referencing higher timeframes for confirmation.
How to Use the Indicator
Add the indicator to any chart.
Check the trend table in the top-right corner:
Green cells indicate a bullish trend.
Red cells indicate a bearish trend.
Look at RSI values to confirm momentum:
RSI above 70 = Overbought.
RSI below 30 = Oversold.
Watch for the "Merge" alert to spot potential reversals or consolidations.
Combine signals from multiple timeframes for stronger trade decisions.
Why This Indicator is Unique on TradingView?
Before this script, no TradingView indicator displayed RSI and EMA clouds together across multiple timeframes (Daily, Weekly, Monthly).
This tool eliminates the need to:
Manually check multiple timeframes for trend alignment.
Add multiple EMA and RSI indicators to the same chart, creating clutter.
Constantly switch between different timeframes to confirm momentum and trend direction.
With this indicator, traders can see trend strength and momentum shifts instantly, improving their decision-making process.
Chart Guidelines
The script is designed for use on a clean chart to maximize clarity.
The trend alignment table is displayed in a non-intrusive manner so traders can focus on price action.
No additional indicators are required, but users may combine this script with volume-based indicators for further confirmation.
The script name and timeframe should always be visible on published charts to help traders understand the analysis.
Final Notes
This script is a simplification and modification of the EMA Cheatsheet by MarketMoves, improving trend detection, momentum confirmation, and EMA merging detection.
It is designed to help traders quickly identify trend direction, confirm momentum, and detect potential trend shifts, reducing the need for excessive manual analysis.
Disclaimer: This indicator is for educational purposes only and does not constitute financial advice. Trading involves risk; always use proper risk management when applying this tool in live markets.
Enhanced KLSE Banker Flow Oscillator# Enhanced KLSE Banker Flow Oscillator
## Description
The Enhanced KLSE Banker Flow Oscillator is a sophisticated technical analysis tool designed specifically for the Malaysian stock market (KLSE). This indicator analyzes price and volume relationships to identify potential smart money movements, providing early signals for market reversals and continuation patterns.
The oscillator measures the buying and selling pressure in the market with a focus on detecting institutional activity. By combining money flow calculations with volume filters and price action analysis, it helps traders identify high-probability trading opportunities with reduced noise.
## Key Features
- Dual-Timeframe Analysis: Combines long-term money flow trends with short-term momentum shifts for more accurate signals
- Adaptive Volume Filtering: Automatically adjusts volume thresholds based on recent market conditions
- Advanced Divergence Detection: Identifies potential trend reversals through price-flow divergences
- Early Signal Detection: Provides anticipatory signals before major price movements occur
- Multiple Signal Types: Offers both early alerts and strong confirmation signals with clear visual markers
- Volatility Adjustment: Adapts sensitivity based on current market volatility for more reliable signals
- Comprehensive Visual Feedback: Color-coded oscillator, signal markers, and optional text labels
- Customizable Display Options: Toggle momentum histogram, early signals, and zone fills
- Organized Settings Interface: Logically grouped parameters for easier configuration
## Indicator Components
1. Main Oscillator Line: The primary banker flow line that fluctuates above and below zero
2. Early Signal Line: Secondary indicator showing potential emerging signals
3. Momentum Histogram: Visual representation of flow momentum changes
4. Zone Fills: Color-coded background highlighting positive and negative zones
5. Signal Markers: Visual indicators for entry and exit points
6. Reference Lines: Key levels for strong and early signals
7. Signal Labels: Optional text annotations for significant signals
## Signal Types
1. Strong Buy Signal (Green Arrow): Major bullish signal with high probability of success
2. Strong Sell Signal (Red Arrow): Major bearish signal with high probability of success
3. Early Buy Signal (Blue Circle): First indication of potential bullish trend
4. Early Sell Signal (Red Circle): First indication of potential bearish trend
5. Bullish Divergence (Yellow Triangle Up): Price making lower lows while flow makes higher lows
6. Bearish Divergence (Yellow Triangle Down): Price making higher highs while flow makes lower highs
## Parameters Explained
### Core Settings
- MFI Base Length (14): Primary calculation period for money flow index
- Short-term Flow Length (5): Calculation period for early signals
- KLSE Sensitivity (1.8): Multiplier for flow calculations, higher = more sensitive
- Smoothing Length (5): Smoothing period for the main oscillator line
### Volume Filter Settings
- Volume Filter % (65): Minimum volume threshold as percentage of average
- Use Adaptive Volume Filter (true): Dynamically adjusts volume thresholds
### Signal Levels
- Strong Signal Level (15): Threshold for strong buy/sell signals
- Early Signal Level (10): Threshold for early buy/sell signals
- Early Signal Threshold (0.75): Sensitivity factor for early signals
### Advanced Settings
- Divergence Lookback (34): Period for checking price-flow divergences
- Show Signal Labels (true): Toggle text labels for signals
### Visual Settings
- Show Momentum Histogram (true): Toggle the momentum histogram display
- Show Early Signal (true): Toggle the early signal line display
- Show Zone Fills (true): Toggle background color fills
## How to Use This Indicator
### Installation
1. Add the indicator to your TradingView chart
2. Default settings are optimized for KLSE stocks
3. Customize parameters if needed for specific stocks
### Basic Interpretation
- Oscillator Above Zero: Bullish bias, buying pressure dominates
- Oscillator Below Zero: Bearish bias, selling pressure dominates
- Crossing Zero Line: Potential shift in market sentiment
- Extreme Readings: Possible overbought/oversold conditions
### Advanced Interpretation
- Divergences: Early warning of trend exhaustion
- Signal Confluences: Multiple signal types appearing together increase reliability
- Volume Confirmation: Signals with higher volume are more significant
- Momentum Alignment: Histogram should confirm direction of main oscillator
### Trading Strategies
#### Trend Following Strategy
1. Identify market trend direction
2. Wait for pullbacks shown by oscillator moving against trend
3. Enter when oscillator reverses back in trend direction with a Strong signal
4. Place stop loss below/above recent swing low/high
5. Take profit at previous resistance/support levels
#### Counter-Trend Strategy
1. Look for oscillator reaching extreme levels
2. Identify divergence between price and oscillator
3. Wait for oscillator to cross Early signal threshold
4. Enter position against prevailing trend
5. Use tight stop loss (1 ATR from entry)
6. Take profit at first resistance/support level
#### Breakout Confirmation Strategy
1. Identify stock consolidating in a range
2. Wait for price to break out of range
3. Confirm breakout with oscillator crossing zero line in breakout direction
4. Enter position in breakout direction
5. Place stop loss below/above the breakout level
6. Trail stop as price advances
### Signal Hierarchy and Reliability
From highest to lowest reliability:
1. Strong Buy/Sell signals with divergence and high volume
2. Strong Buy/Sell signals with high volume
3. Divergence signals followed by Early signals
4. Strong Buy/Sell signals with normal volume
5. Early Buy/Sell signals with high volume
6. Early Buy/Sell signals with normal volume
## Complete Trading Plan Example
### KLSE Market Trading System
#### Pre-Trading Preparation
1. Review overall market sentiment (bullish, bearish, or neutral)
2. Scan for stocks showing significant banker flow signals
3. Note key support/resistance levels for watchlist stocks
4. Prioritize trade candidates based on signal strength and volume
#### Entry Rules for Long Positions
1. Banker Flow Oscillator above zero line (positive flow environment)
2. One or more of the following signals present:
- Strong Buy signal (green arrow)
- Bullish Divergence signal (yellow triangle up)
- Early Buy signal (blue circle) with confirming price action
3. Entry confirmation requirements:
- Volume above 65% of 20-day average
- Price above short-term moving average (e.g., 20 EMA)
- No immediate resistance within 3% of entry price
4. Entry on the next candle open after signal confirmation
#### Entry Rules for Short Positions
1. Banker Flow Oscillator below zero line (negative flow environment)
2. One or more of the following signals present:
- Strong Sell signal (red arrow)
- Bearish Divergence signal (yellow triangle down)
- Early Sell signal (red circle) with confirming price action
3. Entry confirmation requirements:
- Volume above 65% of 20-day average
- Price below short-term moving average (e.g., 20 EMA)
- No immediate support within 3% of entry price
4. Entry on the next candle open after signal confirmation
#### Position Sizing Rules
1. Base risk per trade: 1% of trading capital
2. Position size calculation: Capital × Risk% ÷ Stop Loss Distance
3. Position size adjustments:
- Increase by 20% for Strong signals with above-average volume
- Decrease by 20% for Early signals without confirming price action
- Standard size for all other valid signals
#### Stop Loss Placement
1. For Long Positions:
- Place stop below the most recent swing low
- Minimum distance: 1.5 × ATR(14)
- Maximum risk: 1% of trading capital
2. For Short Positions:
- Place stop above the most recent swing high
- Minimum distance: 1.5 × ATR(14)
- Maximum risk: 1% of trading capital
#### Take Profit Strategy
1. First Target (33% of position):
- 1.5:1 reward-to-risk ratio
- Move stop to breakeven after reaching first target
2. Second Target (33% of position):
- 2.5:1 reward-to-risk ratio
- Trail stop at previous day's low/high
3. Final Target (34% of position):
- 4:1 reward-to-risk ratio or
- Exit when opposing signal appears (e.g., Strong Sell for long positions)
#### Trade Management Rules
1. After reaching first target:
- Move stop to breakeven
- Consider adding to position if new confirming signal appears
2. After reaching second target:
- Trail stop using banker flow signals
- Exit remaining position when:
- Oscillator crosses zero line in opposite direction
- Opposing signal appears
- Price closes below/above trailing stop level
3. Maximum holding period:
- 20 trading days for trend-following trades
- 10 trading days for counter-trend trades
- Re-evaluate if targets not reached within timeframe
#### Risk Management Safeguards
1. Maximum open positions: 5 trades
2. Maximum sector exposure: 40% of trading capital
3. Maximum daily drawdown limit: 3% of trading capital
4. Mandatory stop trading rules:
- After three consecutive losing trades
- After reaching 5% account drawdown
- Resume after two-day cooling period and strategy review
#### Performance Tracking
1. Track for each trade:
- Signal type that triggered entry
- Oscillator reading at entry and exit
- Volume relative to average
- Price action confirmation patterns
- Holding period
- Reward-to-risk achieved
2. Review performance metrics weekly:
- Win rate by signal type
- Average reward-to-risk ratio
- Profit factor
- Maximum drawdown
3. Adjust strategy parameters based on performance:
- Increase position size for highest performing signals
- Decrease or eliminate trades based on underperforming signals
## Advanced Usage Tips
1. Combine with Support/Resistance:
- Signals are more reliable when they occur at key support/resistance levels
- Look for banker flow divergence at major price levels
2. Multiple Timeframe Analysis:
- Use the oscillator on both daily and weekly timeframes
- Stronger signals when both timeframes align
- Enter on shorter timeframe when confirmed by longer timeframe
3. Sector Rotation Strategy:
- Compare banker flow across different sectors
- Rotate capital to sectors showing strongest positive flow
- Avoid sectors with persistent negative flow
4. Volatility Adjustments:
- During high volatility periods, wait for Strong signals only
- During low volatility periods, Early signals can be more actionable
5. Optimizing Parameters:
- For more volatile stocks: Increase Smoothing Length (6-8)
- For less volatile stocks: Decrease KLSE Sensitivity (1.2-1.5)
- For intraday trading: Reduce all length parameters by 30-50%
## Fine-Tuning for Different Markets
While optimized for KLSE, the indicator can be adapted for other markets:
1. For US Stocks:
- Reduce KLSE Sensitivity to 1.5
- Increase Volume Filter to 75%
- Adjust Strong Signal Level to 18
2. For Forex:
- Increase Smoothing Length to 8
- Reduce Early Signal Threshold to 0.6
- Focus more on divergence signals than crossovers
3. For Cryptocurrencies:
- Increase KLSE Sensitivity to 2.2
- Reduce Signal Levels (Strong: 12, Early: 8)
- Use higher Volume Filter (80%)
By thoroughly understanding and properly implementing the Enhanced KLSE Banker Flow Oscillator, traders can gain a significant edge in identifying institutional money flow and making more informed trading decisions, particularly in the Malaysian stock market.
Shavarie's MCV IndicatorShavarie's MCV Indicator (MACD + CCI + Volume Delta) is a custom-built trend-following and volume-based indicator that helps traders confirm market direction with high accuracy. It combines the MACD (Moving Average Convergence Divergence), CCI (Commodity Channel Index), and Volume Delta, ensuring that all three indicators align before making a trading decision. The goal is to filter out false signals and provide high-probability trade setups.
History & Development
Shavarie's MCV Indicator was developed by Shavarie Gordon, an experienced swing trader, to improve trend confirmation on Gold (XAUUSD) and other markets. After testing various indicators, Shavarie discovered that MACD, CCI, and Volume Delta together provide the best combination of trend strength, momentum, and real-time volume flow. This indicator was designed to eliminate lagging signals, improve win rates, and enhance market timing for both swing and scalping strategies.
How It Works & Calculations
MACD (Moving Average Convergence Divergence)
Measures momentum and trend strength using the difference between a 12-period EMA and a 26-period EMA.
The MACD line and Signal line crossover confirms buy/sell signals.
A rising MACD histogram confirms bullish strength, while a falling histogram confirms bearish strength.
CCI (Commodity Channel Index)
Measures how far the price is from its statistical average.
Above +100 → Overbought (strong trend continuation or reversal).
Below -100 → Oversold (strong trend continuation or reversal).
When CCI aligns with MACD, it confirms momentum strength.
Volume Delta
Measures the difference between buying and selling volume in real time.
A positive delta means more aggressive buying (bullish).
A negative delta means more aggressive selling (bearish).
Helps confirm MACD and CCI trends by showing real volume strength.
Key Takeaways & Features
✅ No false signals: All three indicators must align before entering a trade.
✅ Trend confirmation: Ensures momentum and volume agree before trading.
✅ Works on multiple timeframes: Designed for swing trading on the daily and scalping on 45 min + 5 min.
✅ Great for Gold & Metals: Optimized for XAUUSD, XAUJPY, XAU/AUD, and possibly Palladium (XPDUSD).
✅ Custom-built by a professional trader: Developed by Shavarie Gordon after extensive testing.
Summary
Shavarie’s MCV Indicator is a powerful and reliable trading tool that combines momentum, trend, and volume analysis. By ensuring that MACD, CCI, and Volume Delta align, it eliminates false signals and increases trade accuracy. Whether used for swing trading or scalping, this indicator helps traders enter high-probability trades with confidence.
Neon Momentum Waves StrategyIntroduction
The Neon Momentum Waves Strategy is a momentum-based indicator designed to help traders visualize potential shifts in market direction. It builds upon a MACD-style calculation while incorporating an enhanced visual representation of momentum waves. This approach may assist traders in identifying areas of increasing or decreasing momentum, potentially aligning with market trends or reversals.
How It Works
This strategy is based on a modified MACD (Moving Average Convergence Divergence) method, calculating the difference between two Exponential Moving Averages (EMAs). The momentum wave represents this difference, while an additional smoothing line (signal line) helps highlight potential momentum shifts.
Key Components:
Momentum Calculation:
Uses a fast EMA (12-period) and a slow EMA (26-period) to measure short-term and long-term momentum.
A signal line (20-period EMA of the MACD difference) smooths fluctuations.
The histogram (momentum wave) represents the divergence between the MACD value and the signal line.
Interpreting Momentum Changes:
Momentum Increasing: When the histogram rises above the zero line, it may indicate strengthening upward movement.
Momentum Decreasing: When the histogram moves below the zero line, it may signal a weakening trend or downward momentum.
Potential Exhaustion Points: Users can define custom threshold levels (default: ±10) to highlight when momentum is significantly strong or weak.
Visual Enhancements:
The neon glow effect is created by layering multiple plots with decreasing opacity, enhancing the clarity of momentum shifts.
Aqua-colored waves highlight upward momentum, while purple waves represent downward momentum.
Horizontal reference lines mark the zero line and user-defined thresholds to improve interpretability.
How It Differs from Traditional Indicators
Improved Visualization: Unlike standard MACD histograms, this approach provides clearer visual cues using a neon-style wave format.
Customizable Thresholds: Rather than relying solely on MACD crossovers, users can adjust sensitivity settings to better suit their trading style.
Momentum-Based Approach: The strategy is focused on visualizing shifts in momentum strength, rather than predicting price movements.
Potential Use Cases
Momentum Trend Awareness: Helps traders identify periods where momentum appears to be strengthening or fading.
Market Structure Analysis: May complement other indicators to assess whether price action aligns with momentum changes.
Flexible Timeframe Application: Can be used across different timeframes, depending on the trader’s strategy.
Important Considerations
This strategy is purely momentum-based and does not incorporate volume, fundamental factors, or price action confirmation.
Momentum shifts do not guarantee price direction changes—they should be considered alongside broader market context.
The strategy may perform differently in trending vs. ranging markets, so adjustments in sensitivity may be needed.
Risk management is essential—traders should apply proper stop-losses and position sizing techniques in line with their risk tolerance.
Conclusion
The Neon Momentum Waves Strategy provides a visually enhanced method of tracking momentum, allowing traders to observe potential changes in market strength. While not a predictive tool, it serves as a complementary indicator that may help traders in momentum-based decision-making. As with any technical tool, it should be used as part of a broader strategy that considers multiple factors in market analysis.
MACD Divergence all in oneMACD Divergence all in one
It can also be named as MACD dual divergence detector pro !
A sophisticated yet user-friendly tool designed to identify both bullish and bearish divergences using the MACD (Moving Average Convergence Divergence) indicator. This advanced script helps traders spot potential trend reversals by detecting hidden momentum shifts in the market, offering a comprehensive solution for divergence trading.
🎯 Key Features:
• Automatic detection of bullish and bearish divergences
• Clear visual signals with color-coded lines (Green for bullish, Red for bearish)
• Smart filtering system to eliminate false signals
• Customizable parameters to match your trading style
• Clean, uncluttered chart presentation
• Optimized performance for real-time analysis
• Easy-to-read labels showing divergence types
• Built-in signal spacing to avoid clustering
📊 How it works:
The indicator uses an advanced algorithm to analyze the relationship between price action and MACD momentum to identify:
Bullish Divergences:
- Price makes higher lows while MACD shows lower lows
- Signals potential trend reversal from bearish to bullish
- Marked with green lines and upward labels
Bearish Divergences:
- Price makes lower highs while MACD shows higher highs
- Signals potential trend reversal from bullish to bearish
- Marked with red lines and downward labels
⚙️ Customizable Settings:
1. MACD Parameters:
- Fast Length (default: 12)
- Slow Length (default: 26)
- Signal Length (default: 9)
2. Divergence Detection:
- Left/Right Pivot Bars
- Divergence Lookback Period
- Minimum/Maximum Divergence Length
- Divergence Strength Filter
3. Visual Settings:
- Clear color coding for easy identification
- Adjustable line thickness
- Customizable label size
💡 Best Practices:
- Most effective on higher timeframes (1H, 4H, Daily)
- Combine with support/resistance levels
- Use with trend lines and price action
- Consider volume confirmation
- Best results during trending markets
- Use appropriate stop-loss levels
🎓 Trading Tips:
1. Look for bullish divergences near support levels
2. Watch for bearish divergences near resistance zones
3. Confirm signals with other technical indicators
4. Consider market context and overall trend
5. Use proper position sizing and risk management
⚠️ Important Notes:
- Past performance doesn't guarantee future results
- Always use proper risk management
- Test settings on historical data first
- Different timeframes may require parameter adjustments
- Not all divergences lead to reversals
Created by: Anmol-max-star
Last Updated: 2025-02-25 16:15:08 UTC
📌 Regular updates and improvements planned!
Disclaimer:
This indicator is for informational purposes only. Always conduct your own analysis and use proper risk management techniques. Trading involves risk of loss, and past performance does not guarantee future results.
🤝 Support:
Feel free to leave comments for:
- Suggestions
- Improvements
- Feature requests
- Bug reports
- General feedback
Your feedback helps make this tool better for everyone!
Happy Trading and May the Trends Be With You! 📈
MACD Highs and Lows - Dynamic Support & ResistanceDescription:
Enhance your trading strategy with the MACD Highs and Lows indicator, designed to identify dynamic support and resistance levels based on MACD crossovers. This tool plots key price levels triggered by shifts in MACD momentum, helping traders spot potential reversal zones, breakout points, and trend confirmation signals.
Key Features
Dynamic Levels: Automatically plots recent highs/lows when MACD crosses above/below the zero line.
Customizable MACD Parameters:
Adjustable fast/slow lengths (default: 12/26).
Choose between SMA or EMA for oscillator/signal line.
Flexible signal smoothing (1-50 periods).
Visual Clarity:
Clear green/red lines for highs and lows.
Tracks both price extremes and adjacent candle levels (e.g., high-of-low-bar, low-of-high-bar).
Multi-Timeframe Utility: Works across charts for swing trading, scalping, or trend analysis.
How It Works
Bullish Signal: When MACD crosses above zero, the indicator marks the recent lowest low (support) and its corresponding high.
Bearish Signal: When MACD crosses below zero, it plots the recent highest high (resistance) and its corresponding low.
Levels persist until the next crossover, creating actionable reference zones.
Use Cases
Trend Confirmation: Validate breakouts when price closes above/below plotted levels.
Stop Loss Placement: Set stops beyond recent dynamic highs/lows.
Divergence Detection: Spot discrepancies between MACD momentum and price action.
Settings Tips:
Increase Fast Length for responsiveness or Slow Length for smoother signals.
Use EMA for faster reactions, SMA for reduced noise.
3 Red / 3 Green Strategy with Volatility CheckStrategy Name: 3 Red / 3 Green Strategy with Volatility Check by AlgoTradeKit
Overview
This long-only strategy is designed for daily bars on NASDAQ (or similar instruments) and combines simple price action with a volatility filter. It “tells it like it is” – enter when the market shows weakness, but only in sufficiently volatile conditions, and exit either on signs of a reversal or after a set number of days.
Entry Conditions
- Price Action :
Enter a long position when there are 3 consecutive red days (each day's close is below its open).
- Volatility Filter :
The entry is allowed only if the current ATR (Average True Range) calculated over the specified ATR Period (default 12) is greater than its 30-day simple moving average. This ensures the market has enough volatility to justify the trade.
Exit Conditions
- Reversal Signal :
Exit the long position when 3 consecutive green days occur (each day's close is above its open), signaling a potential reversal.
- Time Limit :
Regardless of market conditions, any open trade is closed if it reaches the Maximum Trade Duration (default 22 days). This helps limit exposure during stagnant or unfavorable market conditions.
- You can toggle the three-green-day exit if you want to isolate the time-based exit.
Input Parameters
- Maximum Trade Duration (days): Default is 22 days.
- ATR Period: Default is 12.
- Use 3 Green Days Exit: Toggle to enable or disable the three-green-day exit condition.
How It Works
1. Entry: The strategy monitors daily price action for 3 consecutive down days. When this occurs and if the market is volatile enough (current ATR > 30-day ATR average), it opens a long position.
2. Exit: The position is closed if the price action reverses with 3 consecutive up days or if the trade has been open for the maximum allowed duration - i.e. use it on daily chart.
Risk Management
- The built-in maximum trade duration prevents trades from lingering too long in a non-trending or consolidating market.
- The volatility filter helps ensure that trades are only taken when there is sufficient price movement, potentially increasing the odds of a meaningful move.
Disclaimer
This strategy is provided “as is” without any warranties. It is essential to backtest and validate the performance on your specific instrument and market conditions before deploying live capital. Trading involves significant risk, and you should adjust parameters to match your risk tolerance.
Test and tweak this strategy to see if it fits your trading style and market conditions. Happy trading!
Pre-London High-Low Breakout IndicatorOverview
The Pre-London High-Low Breakout Indicator helps traders identify breakout opportunities at the London session open. It marks the high and low one hour before London opens (5 PM - 6 PM AEST) and incorporates a 200 SMA filter to confirm trade direction. The indicator also provides real-time breakout markers for precise entries.
How the Indicator Works
1. Pre-London High & Low Identification (5 PM - 6 PM AEST)
The indicator tracks the highest and lowest price levels within this period.
These levels act as key breakout zones once London opens.
The high and low remain visible until 12 AM AEST for reference.
2. 200 SMA as a Trend Filter
A 200 SMA (yellow, thick line) is plotted to filter breakout trades.
Only long (buy) trades are valid if price is above the 200 SMA.
Only short (sell) trades are valid if price is below the 200 SMA.
3. Real-Time Breakout Confirmation
Buy Signal (Green Diamond):
Price breaks above the pre-London high.
Price is above the 200 SMA.
Sell Signal (Red Diamond):
Price breaks below the pre-London low.
Price is below the 200 SMA.
No signal appears if the breakout is against the SMA trend, reducing false trades.
How to Use the Indicator Properly
Step 1: Identify the Pre-London Range (5 PM - 6 PM AEST)
Observe price movements and note the session high & low.
Do not take trades within this period—wait for a clear breakout.
Step 2: Wait for a Breakout After 6 PM AEST
A breakout must occur beyond the session high or low.
The breakout should be clear and decisive, not hovering around the range.
Step 3: Confirm with the 200 SMA
If price is above the 200 SMA, only buy signals are valid.
If price is below the 200 SMA, only sell signals are valid.
If a breakout occurs against the SMA, ignore it.
Step 4: Enter the Trade and Manage Risk
Enter the trade after the breakout candle closes.
Set stop-loss just inside the pre-London range to minimize risk.
Take profit using a 1:2 or 1:3 risk-reward ratio, or trail the stop.
Why This Strategy Works
Pre-London Liquidity Grab: Institutional traders set positions before the London open, making this range significant.
Trend Confirmation with SMA: Reduces false breakouts by filtering trades in the direction of the trend.
Real-Time Breakout Detection: Green and red diamond markers highlight valid breakouts that meet all conditions.
Final Notes
If price breaks out but quickly reverses, it may be a false breakout—avoid impulsive trades.
The indicator works best when combined with other confluences such as volume analysis or key support/resistance levels.
Alerts can be added to notify traders when a valid breakout occurs.
This setup is ideal for traders looking for a structured, rule-based approach to trading London session breakouts with a strong trend confirmation mechanism.
Ultimate Trading BotHow the "Ultimate Trading Bot" Works:
This Pine Script trading bot executes buy and sell trades based on a combination of technical indicators:
Indicators Used:
RSI (Relative Strength Index)
Measures momentum and determines overbought (70) and oversold (30) levels.
A crossover above 30 suggests a potential buy, and a cross below 70 suggests a potential sell.
Moving Average (MA)
A simple moving average (SMA) of 50 periods to track the trend.
Prices above the MA indicate an uptrend, while prices below indicate a downtrend.
Stochastic Oscillator (%K and %D)
Identifies overbought and oversold conditions using a smoothed stochastic formula.
A crossover of %K above %D signals a buy, and a crossover below %D signals a sell.
MACD (Moving Average Convergence Divergence)
Uses a 12-period fast EMA and a 26-period slow EMA, with a 9-period signal line.
A crossover of MACD above the signal line suggests a bullish move, and a cross below suggests bearish movement.
Trade Execution:
Buy (Long Entry) Conditions:
RSI crosses above 30 (indicating recovery from an oversold state).
The closing price is above the 50-period moving average (showing an uptrend).
The MACD line crosses above the signal line (indicating upward momentum).
The Stochastic %K crosses above %D (indicating bullish momentum).
→ If all conditions are met, the bot enters a long (buy) position.
Sell (Exit Trade) Conditions:
RSI crosses below 70 (indicating overbought conditions).
The closing price is below the 50-period moving average (downtrend).
The MACD line crosses below the signal line (bearish signal).
The Stochastic %K crosses below %D (bearish momentum).
→ If all conditions are met, the bot closes the long position.
Visuals:
The bot plots the moving average, RSI, MACD, and Stochastic indicators for reference.
It also displays buy/sell signals with arrows:
Green arrow (Buy Signal) → When all buy conditions are met.
Red arrow (Sell Signal) → When all sell conditions are met.
How to Use It in TradingView:
Long-Only For SPXThe "GOATED Long-Only" TradingView strategy, written in Pine Script v5, is designed for long-term momentum trading with a $50 initial capital. It identifies high-momentum stocks by calculating a composite momentum score across 3-month (63 days), 6-month (126 days), 9-month (189 days), and 12-month (252 days) periods, using the formula (current_price / past_price) - 1. The strategy filters stocks with annualized volatility below 0.5 (calculated as the standard deviation of daily returns, annualized by multiplying by the square root of 252 trading days) and requires momentum to exceed a customizable threshold (default 0.0). It enters long positions when momentum becomes positive and exits when it turns negative, using stop-loss (1%) and take-profit (50%) levels to manage risk. The strategy visualizes momentum and volatility on the chart, plotting entry/exit signals as green triangles (long entry) and red triangles (long exit) for backtesting and analysis.
Dynamic Pivot PointsDynamic Pivot Point Indicator
The Dynamic Pivot Point is an indicator used on the TradingView platform that dynamically calculates pivot points and displays them on the chart. This indicator provides automatically adjustable support and resistance levels for different timeframes. By visualizing dynamic levels that match current market conditions, traders can plan their strategies more effectively.
Features
Adapts to Timeframes
The indicator automatically selects the appropriate pivot calculation method based on the user's current timeframe. For example:
For short timeframes such as 1, 3, or 5 minutes, it uses daily (1D) data.
For medium timeframes like 15, 30, or 60 minutes, it uses weekly (1W) data.
For longer timeframes such as 120, 180, or 240 minutes, it uses monthly (1M) data.
For very long timeframes like 360, 480 minutes, daily (D), or weekly (1W), it uses 12-month (12M) data.
Dynamic Pivot Levels
The indicator automatically calculates pivot levels based on the specified high and low values.
Flexible Line Style Options
Users can choose different line styles (Dashed, Dotted, Solid) to improve visual clarity on the chart.
Clean and Clear Visualization
The indicator automatically removes previous lines and displays the latest levels clearly on the chart, preventing clutter and allowing traders to focus more efficiently.
How It Works
Identifying High and Low Levels
The indicator retrieves previous and current high and low levels based on the selected timeframe.
New high and low levels are updated by comparing them with previous levels.
Calculating Pivot Levels
Pivot points are calculated using Fibonacci ratios between high and low levels.
These levels represent dynamic support and resistance zones.
Drawing Lines
The calculated levels are displayed as lines on the chart, each represented with different colors and styles.
Use Cases
Support and Resistance Levels
The indicator dynamically calculates and displays support and resistance levels, serving as reference points for buy and sell decisions.
Trend Analysis
Fibonacci levels help identify trend strength and potential reversal points.
Risk Management
Pivot points assist in setting stop-loss and take-profit levels.
Multi-Timeframe Analysis
Since the indicator adapts to different timeframes, it can be used for both short-term and long-term analysis.
Advantages
✅ Automatic Calculation: No manual calculations are required, as it updates dynamically.
✅ Flexible Timeframe Support: Adapts to different timeframes.
✅ Visual Clarity: Line styles and colors make it easy to distinguish levels on the chart.
✅ Fibonacci Integration: Adds depth to technical analysis.
Conclusion
The Dynamic Pivot Point indicator is a useful tool for both beginners and experienced traders. By dynamically calculating pivot points and Fibonacci levels, it simplifies market analysis and aids in strategy development. With its flexible structure and clear visualization, it can be effectively used across all timeframes.
6 dakika önce
Sürüm Notları
This indicator is written for Support Resistance Traders
Pulse of Cycle Oscillator"Pulse of Cycle" Oscillator: Logic and Usage
What Is It and How Does It Work?
The "Pulse of Cycle" is an oscillator that measures the cycles of price rises and falls, helping you spot overbought and oversold conditions. Unlike classic indicators, it doesn’t focus on how much the price moves but tracks its direction (up or down) like a "pulse." Here’s the logic:
Price Movement:
If the price rises compared to the previous bar, it adds +1.
If the price falls, it subtracts -1.
If the price stays the same, it adds 0.
Decay Factor: Each step, the previous value is multiplied by a factor (e.g., 0.9) to shrink it slightly. This keeps the oscillator from growing too big and focuses it on recent price action.
Signals: The oscillator moves around zero. When it crosses certain levels (e.g., 5 and 10), it warns you about overbought or oversold zones:
Weak Signal: Above ±5, the market might be stretching a bit.
Strong Signal: Above ±10, a reversal is more likely.
In short, it tracks the "rhythm" of price streaks (consecutive ups or downs) and signals when things might be getting extreme.
How It Looks on the Chart
Line: The oscillator moves around a zero line.
Colors:
Blue: Normal zone (between -5 and +5).
Orange: Weak overbought (+5 and up) or oversold (-5 and down).
Red: Strong overbought (+10 and up).
Lime: Strong oversold (-10 and down).
Threshold Lines: You’ll see lines at 0, ±5, and ±10 on the chart to show where you are.
How to Use It?
Here’s how to trade with this oscillator:
Buy Opportunity (Long Position):
When?: The oscillator drops below -5 (weak) or -10 (strong), then starts moving back toward zero. This suggests the price has hit a bottom and might rise.
Example: It falls to -12 (lime), then rises to -8. You could buy, expecting a bounce.
Tip: Wait for a green candle to confirm if you want to be safer.
Sell Opportunity (Short Position):
When?: The oscillator rises above +5 (weak) or +10 (strong), then starts dropping back toward zero. This indicates the price might have peaked and could fall.
Example: It hits +11 (red), then drops to +7. You could sell, expecting a decline.
Tip: Look for a red candle to confirm the turn.
Neutral Zone: If it’s between -5 and +5, the market is balanced. You can wait for a clearer signal.
Practical Steps to Use
Add to TradingView:
Paste the code into Pine Editor and click “Add to Chart.”
Adjust Settings (Optional):
Decay (0.9): Lower to 0.7 for faster response, raise to 0.95 for smoother movement.
Thresholds (5 and 10): Change them (e.g., 4 and 8) based on your market.
Watch Signals:
Follow the color changes and threshold crossings.
Set Alerts:
Right-click the oscillator > “Add Alert” to get notified on overbought/oversold signals.
Things to Watch Out For
Confirmation: Pair it with support/resistance levels or candlestick patterns for stronger signals.
Market Type: Works best in range-bound (sideways) markets. In strong trends (all up or down), signals might mislead.
Risk: Always use a stop loss—below the last low for buys, above the last high for sells.
Summary
The "Pulse of Cycle" is a simple yet powerful tool that tracks price movement streaks. Use it to catch reversals at strong signals (-10/+10) or get early warnings at weak signals (±5). The colors and lines on the chart make it easy to see when to act.
Trade Quality Rating: signal rating from 1 to 5 starsOverview
The indicator is built to generate trading signals based on a combination of technical indicators and then assign each signal a quality rating from 1 to 5 stars. The idea is that the more filters that are met, the stronger (or higher quality) the signal is assumed to be. You can then use these quality ratings to decide which signals to act upon, keeping in mind that a higher-rated signal has more confirming factors.
Components of the Indicator
Simple Moving Averages (SMAs):
SMA9 and SMA20:
These two moving averages are used to detect short-term trend changes via crossovers. A bullish signal is generated when the SMA9 crosses above the SMA20, and a bearish signal when it crosses below.
SMA200 (on the current timeframe) & Daily SMA200:
The SMA200 on your current chart helps smooth out the price action.
The Daily SMA200 serves as a long-term trend filter. For a valid long signal, the price must be above the Daily SMA200, and vice versa for a short signal.
MACD (Moving Average Convergence Divergence):
The MACD is calculated using standard parameters (12, 26, 9).
It adds momentum confirmation to the signal. For a long trade, the MACD line should be above its signal line, and for a short trade, below.
RSI (Relative Strength Index):
Calculated with a 14-period setting.
For long signals, the RSI must be above 50 (indicating upward momentum), while for short signals, it should be below 50.
This filter is one of the additional conditions that add to the quality rating.
Volume Filter:
A 20-period moving average of volume is computed.
The current volume must exceed this average, suggesting that there is enough market participation backing the move.
This is another extra filter that adds to the overall quality score.
ADX (Average Directional Index):
The ADX is manually calculated in the script (using a 14-period setting) to gauge the strength of the trend.
A value above 25 is considered to confirm that a strong trend is in place, making the signal more reliable.
VWAP (Volume Weighted Average Price):
The session VWAP is computed on a daily basis.
For long trades, the price should be above the VWAP, and for short trades, below.
This serves as a confirmation that the current price is moving in the right direction relative to the volume-weighted average.
Signal Generation and Quality Rating
Base Signal (1 Star):
The fundamental trade signal is generated when the SMA9/SMA20 crossover occurs, in combination with the MACD confirmation and the condition that the price is on the correct side of the Daily SMA200. This base signal provides a 1-star quality rating.
Additional Filters (Adding Extra Stars):
RSI Filter: Adds 1 extra star if the RSI condition is met (RSI > 50 for long or RSI < 50 for short).
Volume Filter: Adds 1 extra star if the current volume exceeds its 20-period moving average.
ADX Filter: Adds 1 extra star if the ADX value is above 25, confirming a strong trend.
VWAP Filter: Adds 1 extra star if the price is above the VWAP for long trades (or below for short trades).
When all filters are met, you get a 5-star rating (1 star base + 4 extra stars).
Display and Alerts:
The indicator plots your SMAs on the chart.
When a signal occurs, it places a label on the chart showing the trade direction ("BUY" or "SELL") along with the quality rating in stars.
Additionally, alert conditions are set up so that you can receive notifications when a valid signal (based on the base criteria) is generated.
How to Use This Indicator
Filtering Trades:
Use the quality rating as a visual guide. For instance, if you want to only act on the most reliable setups, you might decide to trade only signals that are rated 4 or 5 stars.
Manual Confirmation:
Even with a high star rating, you can perform your own final checks (e.g., checking price action or additional chart patterns) before entering a trade.
Backtesting and Adjustment:
Because market conditions differ, it’s advisable to backtest the indicator on your instrument of choice and adjust the parameters (such as the ADX threshold or the period for volume averaging) to better suit your trading style.
Conclusion
This 5-star system indicator is designed to provide a comprehensive overview of trade quality by integrating multiple technical filters into one visual signal. It helps filter out noise by ensuring that a trade signal not only meets a basic SMA and MACD condition but also aligns with volume, trend strength (ADX), and VWAP criteria. This multi-layered approach can lead to fewer but higher quality trades, allowing you to focus on setups that have more confluence.
Happy trading!
WaridTR15 Dakika ve Üzeri Periyotlar İçin Önerilen Ayarlar:
EMA Uzunlukları:
Kısa EMA: 9 yerine 12 veya 14 kullanılabilir.
Uzun EMA: 21 yerine 26 veya 50 kullanılabilir.
Golden Cross için 50 EMA ve 200 EMA zaten uzun vadeli trendleri yakalar, bu nedenle değiştirmeye gerek yok.
RSI Uzunluğu:
RSI uzunluğu 14 yerine 21 veya 28 yapılabilir. Bu, daha uzun vadeli aşırı alım/aşırı satım bölgelerini daha doğru tespit eder.
Volume Filtresi:
Volume ortalaması için 20 periyot yerine 50 veya 100 periyot kullanılabilir. Bu, daha uzun vadeli hacim eğilimlerini yakalar.
Ichimoku Parametreleri:
Ichimoku, varsayılan olarak 9-26-52 periyotlarıyla çalışır. Bu, zaten uzun vadeli trendleri yakalamak için uygundur. Ancak, daha uzun periyotlar için:
Tenkan-Sen: 9 yerine 14.
Kijun-Sen: 26 yerine 52.
Senkou Span B: 52 yerine 104.
Volume HighlightBar colouring: this indicator is simple but effective, it repaints higher than normal candles a certain colour (by default gold/yellow) it helps to know what are valuable areas to trade around for longs and shorts.
Changing the volume multiplier manually helps you to screen volume relevant to the timeframe you are trading on.
For example, some charts 1min the best filter/setting would be 12-35 multiplier where others like btc 1-4 hourly, the filter/setting might be 8-12.
The key is having only the highest/most relevant 3-4 volume candles showing as they often represent supports and resistances.
Bollinger Bounce Reversal Strategy – Visual EditionOverview:
The Bollinger Bounce Reversal Strategy – Visual Edition is designed to capture potential reversal moves at price extremes—often termed “bounce points”—by using a combination of technical indicators. The strategy integrates Bollinger Bands, MACD, and volume analysis, and it provides rich on‑chart visual cues to help traders understand its signals and conditions. Additionally, the strategy enforces a maximum of 5 trades per day and uses fixed risk management parameters. This publication is intended for educational purposes and offers a systematic, transparent approach that you can further adjust to fit your market or risk profile.
How It Works:
Bollinger Bands:
A 20‑period simple moving average (SMA) and a user‑defined standard deviation multiplier (default 2.0) are used to calculate the Bollinger Bands.
When the price reaches or crosses these bands (i.e. falls below the lower band or rises above the upper band), it suggests that the price is in an extreme, potentially oversold or overbought, state.
MACD Filter:
The MACD (calculated with standard lengths, e.g. 12, 26, 9) provides momentum information.
For a bullish (long) signal, the MACD line should be above its signal line; for a bearish (short) signal, the MACD line should be below.
Volume Confirmation:
The strategy uses a 20‑period volume moving average to determine if current volume is strong enough to validate a signal.
A signal is confirmed only if the current volume is at or above a specified multiple (by default, 1.0×) of this moving average, ensuring that the move is supported by increased market participation.
Visual Cues:
Bollinger Bands and Fill: The basis (SMA), upper, and lower Bollinger Bands are plotted, and the area between the upper and lower bands is filled with a semi‑transparent color.
Signal Markers: When a long or short signal is generated, corresponding markers (labels) appear on the chart.
Background Coloring: The chart’s background changes color (green for long signals and red for short signals) on the bars where signals occur.
Information Table: An on‑chart table displays key indicator values (MACD, signal line, volume, average volume) and the number of trades executed that day.
Entry Conditions:
Long Entry:
A long trade is triggered when the previous bar’s close is below the lower Bollinger Band and the current bar’s close crosses above it, combined with a bullish MACD condition and strong volume.
Short Entry:
A short trade is triggered when the previous bar’s close is above the upper Bollinger Band and the current bar’s close crosses below it, with a bearish MACD condition and high volume.
Risk Management:
Daily Trade Limit: The strategy restricts trading to no more than 5 trades per day.
Stop-Loss and Take-Profit:
For each position, a stop loss is set at a fixed percentage away from the entry price (typically 2%), and a take profit is set to target a 1:2 risk-reward ratio (typically 4% from the entry price).
Backtesting Setup:
Initial Capital: $10,000
Commission: 0.1% per trade
Slippage: 1 tick per bar
These realistic parameters help ensure that backtesting results reflect the conditions of an average trader.
Disclaimer:
Past performance is not indicative of future results. This strategy is experimental and provided solely for educational purposes. It is essential to backtest extensively and paper trade before any live deployment. All risk management practices are advisory, and you should adjust parameters to suit your own trading style and risk tolerance.
Conclusion:
By combining Bollinger Bands, MACD, and volume analysis, the Bollinger Bounce Reversal Strategy – Visual Edition provides a clear, systematic method to identify potential reversal opportunities at price extremes. The added visual cues help traders quickly interpret signals and assess market conditions, while strict risk management and a daily trade cap help keep trading disciplined. Adjust and refine the settings as needed to better suit your specific market and risk profile.
Opening ScoreOverview:
The Composite Open Strategy Indicator is designed to provide traders with a unified, early-session directional bias by aggregating multiple non-correlated signals. By combining diverse analytical methods—spanning price action, volume, volatility, and time—the indicator helps you gauge whether the market is leaning bullish or bearish during the critical opening hours.
How It Works:
• Open Range Breakout (ORB) Signal:
The indicator captures the opening range (defined up to a user-specified time, e.g., 9:45 AM ET) and assigns a bullish signal when the price breaks above the high of that range, and a bearish signal when it drops below the low.
• VWAP Signal:
It compares the current price to the Volume Weighted Average Price (VWAP). A price above VWAP suggests buying pressure, while below indicates selling pressure.
• Trend Signal:
Using a simple moving average (with an adjustable period, typically around 20 bars), the indicator determines the prevailing trend. Price above the MA contributes a bullish bias, and price below contributes a bearish bias.
• Volatility Signal:
A volatility filter is applied via the Average True Range (ATR). An increasing ATR relative to the previous bar suggests rising volatility (bullish if combined with upward moves), whereas a decreasing ATR indicates the opposite.
Each of these four signals is assigned an equal weight (modifiable as needed), and their sum forms the composite score.
Display and Timing:
• Separate Panel:
The composite score is plotted as a histogram in its own indicator panel, ensuring your main price chart remains uncluttered.
• Session Filter:
The indicator is active only during the early session—from 9:30 AM to 12:30 PM Eastern Time—when the initial directional move is most relevant. Outside this time window, the indicator remains inactive.
Trading Insights:
• A positive composite score suggests a bullish bias, indicating that the aggregated signals lean toward an upward trend.
• A negative composite score points to a bearish bias, indicating a downward directional outlook.
Usage:
Ideal for traders looking to capture the market’s early trend direction, this indicator can be used as part of a broader strategy. Its design encourages consistency by combining multiple perspectives (price, volume, volatility, time) into one clear signal, allowing you to focus on setups that align with the dominant early-session move.
Before fully automating your trading approach, you can test and refine this composite method on TradingView using the built-in manual review process. Once confident in its performance, further automation can help integrate this directional bias seamlessly into your overall trading strategy.
4Hour Zone SeparatorThis custom TradingView indicator draws vertical lines on your chart to visually separate the 4-hour trading zones within a single trading day. The indicator helps traders identify key time intervals throughout the day for better market analysis and decision-making.
Features:
• Time-Based Zones: The indicator divides the day into six distinct 4-hour periods, starting from midnight (00:00) and continuing every 4 hours. Each zone is marked by a vertical line on the chart.
• User Customization: You can toggle the visibility of the lines for each 4-hour period (00:00, 04:00, 08:00, 12:00, 16:00, 20:00) based on your preference. This allows you to focus on specific zones that matter most for your analysis.
• Line Styling Options: Choose from three different line styles — Solid, Dashed, or Dotted — and adjust the thickness to your desired preference.
• Dynamic Time Adjustment: The indicator automatically adjusts for the time zone, ensuring that the 00:00 timestamp reflects the correct start of the day based on your chart’s time zone.
How It Works:
1. The indicator starts by calculating the beginning of the day at 00:00, then it sequentially places vertical lines every 4 hours.
2. Each line is color-coded for easy identification, and the lines stretch from the highest to the lowest point on the chart for that range.
3. The lines are drawn only when the chart enters a new 4-hour zone.
This tool is especially useful for day traders who want to track price action during specific times of the day and make informed decisions based on market behavior within each 4-hour period.
Arpeet MACDOverview
This strategy is based on the zero-lag version of the MACD (Moving Average Convergence Divergence) indicator, which captures short-term trends by quickly responding to price changes, enabling high-frequency trading. The strategy uses two moving averages with different periods (fast and slow lines) to construct the MACD indicator and introduces a zero-lag algorithm to eliminate the delay between the indicator and the price, improving the timeliness of signals. Additionally, the crossover of the signal line and the MACD line is used as buy and sell signals, and alerts are set up to help traders seize trading opportunities in a timely manner.
Strategy Principle
Calculate the EMA (Exponential Moving Average) or SMA (Simple Moving Average) of the fast line (default 12 periods) and slow line (default 26 periods).
Use the zero-lag algorithm to double-smooth the fast and slow lines, eliminating the delay between the indicator and the price.
The MACD line is formed by the difference between the zero-lag fast line and the zero-lag slow line.
The signal line is formed by the EMA (default 9 periods) or SMA of the MACD line.
The MACD histogram is formed by the difference between the MACD line and the signal line, with blue representing positive values and red representing negative values.
When the MACD line crosses the signal line from below and the crossover point is below the zero axis, a buy signal (blue dot) is generated.
When the MACD line crosses the signal line from above and the crossover point is above the zero axis, a sell signal (red dot) is generated.
The strategy automatically places orders based on the buy and sell signals and triggers corresponding alerts.
Advantage Analysis
The zero-lag algorithm effectively eliminates the delay between the indicator and the price, improving the timeliness and accuracy of signals.
The design of dual moving averages can better capture market trends and adapt to different market environments.
The MACD histogram intuitively reflects the comparison of bullish and bearish forces, assisting in trading decisions.
The automatic order placement and alert functions make it convenient for traders to seize trading opportunities in a timely manner, improving trading efficiency.
Risk Analysis
In volatile markets, frequent crossover signals may lead to overtrading and losses.
Improper parameter settings may cause signal distortion and affect strategy performance.
The strategy relies on historical data for calculations and has poor adaptability to sudden events and black swan events.
Optimization Direction
Introduce trend confirmation indicators, such as ADX, to filter out false signals in volatile markets.
Optimize parameters to find the best combination of fast and slow line periods and signal line periods, improving strategy stability.
Combine other technical indicators or fundamental factors to construct a multi-factor model, improving risk-adjusted returns of the strategy.
Introduce stop-loss and take-profit mechanisms to control single-trade risk.
Summary
The MACD Dual Crossover Zero Lag Trading Strategy achieves high-frequency trading by quickly responding to price changes and capturing short-term trends. The zero-lag algorithm and dual moving average design improve the timeliness and accuracy of signals. The strategy has certain advantages, such as intuitive signals and convenient operation, but also faces risks such as overtrading and parameter sensitivity. In the future, the strategy can be optimized by introducing trend confirmation indicators, parameter optimization, multi-factor models, etc., to improve the robustness and profitability of the strategy.
Classic Nacked Z-Score ArbitrageThe “Classic Naked Z-Score Arbitrage” strategy employs a statistical arbitrage model based on the Z-score of the price spread between two assets. This strategy follows the premise of pair trading, where two correlated assets, typically from the same market sector, are traded against each other to profit from relative price movements (Gatev, Goetzmann, & Rouwenhorst, 2006). The approach involves calculating the Z-score of the price spread between two assets to determine market inefficiencies and capitalize on short-term mispricing.
Methodology
Price Spread Calculation:
The strategy calculates the spread between the two selected assets (Asset A and Asset B), typically from different sectors or asset classes, on a daily timeframe.
Statistical Basis – Z-Score:
The Z-score is used as a measure of how far the current price spread deviates from its historical mean, using the standard deviation for normalization.
Trading Logic:
• Long Position:
A long position is initiated when the Z-score exceeds the predefined threshold (e.g., 2.0), indicating that Asset A is undervalued relative to Asset B. This signals an arbitrage opportunity where the trader buys Asset B and sells Asset A.
• Short Position:
A short position is entered when the Z-score falls below the negative threshold, indicating that Asset A is overvalued relative to Asset B. The strategy involves selling Asset B and buying Asset A.
Theoretical Foundation
This strategy is rooted in mean reversion theory, which posits that asset prices tend to return to their long-term average after temporary deviations. This form of arbitrage is widely used in statistical arbitrage and pair trading techniques, where investors seek to exploit short-term price inefficiencies between two assets that historically maintain a stable price relationship (Avery & Sibley, 2020).
Further, the Z-score is an effective tool for identifying significant deviations from the mean, which can be seen as a signal for the potential reversion of the price spread (Braucher, 2015). By capturing these inefficiencies, traders aim to profit from convergence or divergence between correlated assets.
Practical Application
The strategy aligns with the Financial Algorithmic Trading and Market Liquidity analysis, emphasizing the importance of statistical models and efficient execution (Harris, 2024). By utilizing a simple yet effective risk-reward mechanism based on the Z-score, the strategy contributes to the growing body of research on market liquidity, asset correlation, and algorithmic trading.
The integration of transaction costs and slippage ensures that the strategy accounts for practical trading limitations, helping to refine execution in real market conditions. These factors are vital in modern quantitative finance, where liquidity and execution risk can erode profits (Harris, 2024).
References
• Gatev, E., Goetzmann, W. N., & Rouwenhorst, K. G. (2006). Pairs Trading: Performance of a Relative-Value Arbitrage Rule. The Review of Financial Studies, 19(3), 1317-1343.
• Avery, C., & Sibley, D. (2020). Statistical Arbitrage: The Evolution and Practices of Quantitative Trading. Journal of Quantitative Finance, 18(5), 501-523.
• Braucher, J. (2015). Understanding the Z-Score in Trading. Journal of Financial Markets, 12(4), 225-239.
• Harris, L. (2024). Financial Algorithmic Trading and Market Liquidity: A Comprehensive Analysis. Journal of Financial Engineering, 7(1), 18-34.
Wagmi Lab- Bitcoin H4 Buy Sell Signals This indicator, designed primarily for Bitcoin on the H4 timeframe, is a versatile tool that can also be applied to other assets and timeframes by adjusting its parameters. It combines Exponential Moving Averages (EMAs), MACD (Moving Average Convergence Divergence), and a crossover filtering mechanism to generate reliable buy and sell signals. The indicator is ideal for traders looking to identify trend direction and potential entry/exit points with added precision.
Key Features:
Customizable EMAs and MACD:
Fast EMA (default: 12): Tracks short-term price momentum.
Slow EMA (default: 26): Tracks long-term price momentum.
Signal SMA (default: 9): Smooths the MACD line to generate the signal line.
MACD Crossover Signals:
The indicator calculates the MACD line and signal line to identify potential buy and sell opportunities.
Buy signals are generated when the MACD line crosses above the signal line, indicating bullish momentum.
Sell signals are generated when the MACD line crosses below the signal line, indicating bearish momentum.
Crossover Strength Filter:
A minimum crossover distance percentage (default: 0.1%) ensures that only significant crossovers are considered, reducing false signals.
This filter helps traders avoid weak or insignificant crossovers that may not lead to strong price movements.
Trend Visualization:
The indicator highlights the trend direction by filling the area between the fast and slow EMAs with colors:
Green: Uptrend (MACD > Signal Line).
Red: Downtrend (MACD < Signal Line).
Buy/Sell Signal Markers:
Buy signals are marked with green circles below the price bars.
Sell signals are marked with red circles above the price bars.
These markers provide clear visual cues for potential entry and exit points.
Adaptable to Other Timeframes and Assets:
While optimized for the H4 timeframe, the indicator can be adjusted for other timeframes (e.g., M15, H1, D1) by modifying the EMA and SMA settings.
It can also be applied to other assets, such as stocks, forex, or commodities, by tweaking the parameters to suit the asset's volatility and characteristics.
How to Use:
Identify Trends:
Use the colored areas (green for uptrend, red for downtrend) to determine the overall market direction.
Wait for Confirmation:
Look for buy or sell signals (green or red circles) that align with the trend direction.
Ensure the crossover meets the minimum distance requirement to filter out weak signals.
Enter and Exit Trades:
Enter a long position when a buy signal appears during an uptrend.
Enter a short position or exit a long position when a sell signal appears during a downtrend.
Adjust Settings for Other Timeframes/Assets:
Experiment with the EMA and SMA periods to optimize the indicator for different timeframes or assets.
Why Use This Indicator?
Precision: The crossover strength filter reduces noise and false signals.
Versatility: Works across multiple timeframes and assets with customizable settings.
Visual Clarity: Clear trend visualization and signal markers make it easy to interpret.
This indicator is a powerful tool for traders seeking to capitalize on Bitcoin's volatility or other assets' price movements, providing a structured approach to identifying trends and potential trading opportunities.
Gold Pro StrategyHere’s the strategy description in a chat format:
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**Gold (XAU/USD) Trend-Following Strategy**
This **trend-following strategy** is designed for trading gold (XAU/USD) by combining moving averages, MACD momentum indicators, and RSI filters to capture sustained trends while managing volatility risks. The strategy uses volatility-adjusted stops to protect gains and prevent overexposure during erratic price movements. The aim is to take advantage of trending markets by confirming momentum and ensuring entries are not made at extreme levels.
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**Key Components**
1. **Trend Identification**
- **50 vs 200 EMA Crossover**
- **Bullish Trend:** 50 EMA crosses above 200 EMA, and the price closes above the 200 EMA
- **Bearish Trend:** 50 EMA crosses below 200 EMA, and the price closes below the 200 EMA
2. **Momentum Confirmation**
- **MACD (12,26,9)**
- **Buy Signal:** MACD line crosses above the signal line
- **Sell Signal:** MACD line crosses below the signal line
- **RSI (14 Period)**
- **Bullish Zone:** RSI between 50-70 to avoid overbought conditions
- **Bearish Zone:** RSI between 30-50 to avoid oversold conditions
3. **Entry Criteria**
- **Long Entry:** Bullish trend, MACD bullish crossover, and RSI between 50-70
- **Short Entry:** Bearish trend, MACD bearish crossover, and RSI between 30-50
4. **Exit & Risk Management**
- **ATR Trailing Stops (14 Period):**
- Initial Stop: 3x ATR from entry price
- Trailing Stop: Adjusts to lock in profits as price moves favorably
- **Position Sizing:** 100% of equity per trade (high-risk strategy)
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**Key Logic Flow**
1. **Trend Filter:** Use the 50/200 EMA relationship to define the market's direction
2. **Momentum Confirmation:** Confirm trend momentum with MACD crossovers
3. **RSI Validation:** Ensure RSI is within non-extreme ranges before entering trades
4. **Volatility-Based Risk Management:** Use ATR stops to manage market volatility
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**Visual Cues**
- **Blue Line:** 50 EMA
- **Red Line:** 200 EMA
- **Green Triangles:** Long entry signals
- **Red Triangles:** Short entry signals
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**Strengths**
- **Clear Trend Focus:** Avoids counter-trend trades
- **RSI Filter:** Prevents entering overbought or oversold conditions
- **ATR Stops:** Adapts to gold’s inherent volatility
- **Simple Rules:** Easy to follow with minimal inputs
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**Weaknesses & Risks**
- **Infrequent Signals:** 50/200 EMA crossovers are rare
- **Potential Missed Opportunities:** Strict RSI criteria may miss some valid trends
- **Aggressive Position Sizing:** 100% equity allocation can lead to large drawdowns
- **No Profit Targets:** Relies on trailing stops rather than defined exit targets
---
**Performance Profile**
| Metric | Expected Range |
|----------------------|---------------------|
| Annual Trades | 4-8 |
| Win Rate | 55-65% |
| Max Drawdown | 25-35% |
| Profit Factor | 1.8-2.5 |
---
**Optimization Recommendations**
1. **Increase Trade Frequency**
Adjust the EMAs to shorter periods:
- `emaFastLen = input.int(30, "Fast EMA")`
- `emaSlowLen = input.int(150, "Slow EMA")`
2. **Relax RSI Filters**
Adjust the RSI range to:
- `rsiBullish = rsi > 45 and rsi < 75`
- `rsiBearish = rsi < 55 and rsi > 25`
3. **Add Profit Targets**
Introduce a profit target at 1.5% above entry:
```pine
strategy.exit("Long Exit", "Long",
stop=longStopPrice,
profit=close*1.015, // 1.5% target
trail_offset=trailOffset)
```
4. **Reduce Position Sizing**
Risk a smaller percentage per trade:
- `default_qty_value=25`
---
**Best Use Case**
This strategy excels in **strong trending markets** such as gold rallies during economic or geopolitical crises. However, during sideways or choppy market conditions, the strategy might require manual intervention to avoid false signals. Additionally, integrating fundamental analysis—like monitoring USD weakness or geopolitical risks—can enhance its effectiveness.
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This strategy offers a balanced approach for trading gold, combining trend-following principles with risk management tailored to the volatility of the market.
