Asset Rotation System [InvestorUnknown]Overview
This system creates a comprehensive trend "matrix" by analyzing the performance of six assets against both the US Dollar and each other. The objective is to identify and hold the asset that is currently outperforming all others, thereby focusing on maintaining an investment in the most "optimal" asset at any given time.
- - - Key Features - - -
1. Trend Classification:
The system evaluates the trend for each of the six assets, both individually against USD and in pairs (assetX/assetY), to determine which asset is currently outperforming others.
Utilizes five distinct trend indicators: RSI (50 crossover), CCI, SuperTrend, DMI, and Parabolic SAR.
Users can customize the trend analysis by selecting all indicators or choosing a single one via the "Trend Classification Method" input setting.
2. Backtesting:
Calculates an equity curve for each asset and for the system itself, which assumes holding only the asset deemed optimal at any time.
Customizable start date for backtesting; by default, it begins either 5000 bars ago (the maximum in TradingView) or at the inception of the youngest asset included, whichever is shorter. If the youngest asset's history exceeds 5000 bars, the system uses 5000 bars to prevent errors.
The equity curve is dynamically colored based on the asset held at each point, with this coloring also reflected on the chart via barcolor().
Performance metrics like returns, standard deviation of returns, Sharpe, Sortino, and Omega ratios, along with maximum drawdown, are computed for each asset and the system's equity curve.
3 Alerts:
Supports alerts for when a new, confirmed optimal asset is identified. However, due to TradingView limitations, the specific asset cannot be included in the alert message.
- - - Usage - - -
1. Select Assets/Tickers:
Choose which assets or tickers you want to include in the rotation system. Ensure that all selected tickers are denominated in USD to maintain consistency in analysis.
2. Configure Trend Classification:
Decide on the trend classification method from the available options (RSI, CCI, SuperTrend, DMI, or Parabolic SAR, All) and adjust the settings to your preferences. This customization allows you to tailor the system to different market conditions or your specific trading strategy.
3. Utilize Backtesting for Calibration:
Use the backtesting results, including equity curves and performance metrics, to fine-tune your chosen trend indicators.
Be cautious not to overemphasize performance maximization, as this can lead to overfitting. The goal is to achieve a robust system that performs well across various market conditions, rather than just optimizing for past data.
- - - Parameters - - -
Tickers:
Asset 1: Select the symbol for the first asset.
Asset 2: Select the symbol for the second asset.
Asset 3: Select the symbol for the third asset.
Asset 4: Select the symbol for the fourth asset.
Asset 5: Select the symbol for the fifth asset.
Asset 6: Select the symbol for the sixth asset.
General Settings:
Trend Classification Method: Choose from RSI, CCI, SuperTrend, DMI, PSAR, or "All" to determine how trends are analyzed.
Use Custom Starting Date for Backtest: Toggle to use a custom date for beginning the backtest.
Custom Starting Date: Set the custom start date for backtesting.
Plot Perf. Metrics Table: Option to display performance metrics in a table on the chart.
RSI (Relative Strength Index):
RSI Source: Choose the price data source for RSI calculation.
RSI Length: Set the period for the RSI calculation.
CCI (Commodity Channel Index):
CCI Source: Select the price data source for CCI calculation.
CCI Length: Determine the period for the CCI.
SuperTrend:
SuperTrend Factor: Adjust the sensitivity of the SuperTrend indicator.
SuperTrend Length: Set the period for the SuperTrend calculation.
DMI (Directional Movement Index):
DMI Length: Define the period for DMI calculations.
Parabolic SAR:
PSAR Start: Initial acceleration factor for the Parabolic SAR.
PSAR Increment: Increment value for the acceleration factor.
PSAR Max Value: Maximum value the acceleration factor can reach.
Notes/Recommendations:
While this system is operational, it's important to recognize that it relies on "basic" indicators, which may not be ideal for generating trading signals on their own. I strongly suggest that users delve into the code to grasp the underlying logic of the system. Consider customizing it by integrating more sophisticated and higher-quality trend-following indicators to enhance its performance and reliability.
Disclaimer:
This system's backtest results are historical and do not predict future performance. Use for educational purposes only; not investment advice.
Educational
Anomaly DetectorPrice Anomaly Detector
This is a script designed to identify unusual price movements. By analyzing deviations from typical price behavior, this tool helps traders spot potential trading opportunities and manage risks effectively.
---
Features
- Anomaly Detection: Flags price points that significantly deviate from the average.
- Visual Indicators: Highlights anomalies with background colors and cross markers.
- Customizable Settings: Adjust sensitivity and window size to match your trading strategy.
- Real-Time Analysis: Continuously updates anomaly signals as new data is received.
---
Usage
After adding the indicator to your chart:
1. View Anomalies: Red backgrounds and cross markers indicate detected anomalies.
2. Adjust Settings: Modify the `StdDev Threshold` and `Window Length` to change detection sensitivity.
3. Interpret Signals:
- Red Background: Anomaly detected on that bar.
- Red Cross: Specific point of anomaly.
---
Inputs
- StdDev Threshold: Higher values reduce anomaly sensitivity. Default: 2.0.
- Window Length: Larger windows smooth data, reducing false positives. Default: 20.
---
Limitations
- Approximation Method: Uses a simple method to detect anomalies, which may not capture all types of unusual price movements.
- Performance: Extremely large window sizes may impact script performance.
- Segment Detection: Does not group consecutive anomalies into segments.
---
Disclaimer : This tool is for educational purposes only. Trading involves risk, and you should perform your own analysis before making decisions. The author is not liable for any losses incurred.
Dynamic Ticks Oscillator Model (DTOM)The Dynamic Ticks Oscillator Model (DTOM) is a systematic trading approach grounded in momentum and volatility analysis, designed to exploit behavioral inefficiencies in the equity markets. It focuses on the NYSE Down Ticks, a metric reflecting the cumulative number of stocks trading at a lower price than their previous trade. As a proxy for market sentiment and selling pressure, this indicator is particularly useful in identifying shifts in investor behavior during periods of heightened uncertainty or volatility (Jegadeesh & Titman, 1993).
Theoretical Basis
The DTOM builds on established principles of momentum and mean reversion in financial markets. Momentum strategies, which seek to capitalize on the persistence of price trends, have been shown to deliver significant returns in various asset classes (Carhart, 1997). However, these strategies are also susceptible to periods of drawdown due to sudden reversals. By incorporating volatility as a dynamic component, DTOM adapts to changing market conditions, addressing one of the primary challenges of traditional momentum models (Barroso & Santa-Clara, 2015).
Sentiment and Volatility as Core Drivers
The NYSE Down Ticks serve as a proxy for short-term negative sentiment. Sudden increases in Down Ticks often signal panic-driven selling, creating potential opportunities for mean reversion. Behavioral finance studies suggest that investor overreaction to negative news can lead to temporary mispricings, which systematic strategies can exploit (De Bondt & Thaler, 1985). By incorporating a rate-of-change (ROC) oscillator into the model, DTOM tracks the momentum of Down Ticks over a specified lookback period, identifying periods of extreme sentiment.
In addition, the strategy dynamically adjusts entry and exit thresholds based on recent volatility. Research indicates that incorporating volatility into momentum strategies can enhance risk-adjusted returns by improving adaptability to market conditions (Moskowitz, Ooi, & Pedersen, 2012). DTOM uses standard deviations of the ROC as a measure of volatility, allowing thresholds to contract during calm markets and expand during turbulent ones. This approach helps mitigate false signals and aligns with findings that volatility scaling can improve strategy robustness (Barroso & Santa-Clara, 2015).
Practical Implications
The DTOM framework is particularly well-suited for systematic traders seeking to exploit behavioral inefficiencies while maintaining adaptability to varying market environments. By leveraging sentiment metrics such as the NYSE Down Ticks and combining them with a volatility-adjusted momentum oscillator, the strategy addresses key limitations of traditional trend-following models, such as their lagging nature and susceptibility to reversals in volatile conditions.
References
• Barroso, P., & Santa-Clara, P. (2015). Momentum Has Its Moments. Journal of Financial Economics, 116(1), 111–120.
• Carhart, M. M. (1997). On Persistence in Mutual Fund Performance. The Journal of Finance, 52(1), 57–82.
• De Bondt, W. F., & Thaler, R. (1985). Does the Stock Market Overreact? The Journal of Finance, 40(3), 793–805.
• Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. The Journal of Finance, 48(1), 65–91.
• Moskowitz, T. J., Ooi, Y. H., & Pedersen, L. H. (2012). Time Series Momentum. Journal of Financial Economics, 104(2), 228–250.
Smart VolumeThis script introduces a unique approach to volume analysis by combining three critical components that work together to identify institutional activity:
1. Adaptive Volume Analysis
- Automatically calculates significant volume thresholds specific to each stock (current bar volume compared to the average of previous 6 bars)
- Unlike standard indicators using fixed multipliers (like 2x average volume), this adapts to each stock's unique trading characteristics
- Example: A 2x volume spike might be significant for AAPL but irrelevant for a volatile small-cap
2. Volume Contraction Pattern (VCP) Detection
- Identifies periods of decreasing volume with precise criteria:
• Requires 6+ consecutive periods of declining volume
• Volume must compress by at least 20% from peak
• Price must remain within a defined channel
- Automatically detects completion of compression patterns
3. RVM (Relative Volatility Measure) Integration
- Measures current volatility against historical averages
- Identifies low-volatility periods that often precede major moves
- When combined with volume compression, signals higher probability setups
How Components Work Together:
- Volume spikes are evaluated against stock-specific thresholds
- VCP detection runs continuously to identify compression patterns
- RVM confirms volatility contraction aligned with volume compression
- When all three align, the indicator signals potential breakout entry
Usage:
1. Monitor volume bars for spikes above adaptive thresholds (bright green/red)|
2. Monitor average volume line turning from white to green indicating volume contraction (the brighter the green the more contraction happened)
2. Watch for green shading at the zero-line indicating volatility compression (RVM)
3. Use the statistics table for more insights
Original Features:
- First indicator to combine adaptive volume thresholds with VCP detection
- Implements stock-specific volume analysis instead of fixed multipliers
- Integrates volatility confirmation with volume patterns
- Provides real-time statistical analysis of compression patterns
Best suited for daily timeframes on liquid stocks where institutional activity is most visible.
Note: While patterns suggest potential moves, always confirm with price action before trading.
Video:
200 EMA Breakout & Retest Strategy200 EMA Breakout & Retest Strategy
This script is designed for traders who rely on the 200 EMA as a key indicator for trend direction and trade setups. The strategy identifies potential buy and sell opportunities based on breakouts and subsequent retests of the 200 EMA.
How It Works
EMA Breakout Detection:
The script monitors when the price crosses and closes above or below the 200 EMA.
No signal is generated immediately upon the breakout.
Retest Confirmation:
After the breakout, the price must retrace to touch the 200 EMA.
A valid signal occurs only when the price touches the EMA and the candle closes above (for buy) or below (for sell).
Trade Signal Generation:
Once the retest is confirmed:
A Buy Signal is generated if the price closes above the 200 EMA after the retest.
A Sell Signal is generated if the price closes below the 200 EMA after the retest.
The script calculates:
Stop Loss: Placed at the low of the candle for a buy signal and at the high of the candle for a sell signal.
Take Profit: Based on a customizable Risk-Reward Ratio (default is 1:2).
Visual Indicators:
The 200 EMA is plotted on the chart for reference.
Buy/Sell signals are displayed as labels on the chart.
Stop loss and take profit levels are drawn using dotted lines.
Customization Options
EMA Length: Adjustable (default is 200).
Risk-Reward Ratio: Customizable to suit different trading styles.
Who Is This For?
This strategy is ideal for traders who:
Prefer trading with the trend using EMA-based strategies.
Look for precise entry points with confirmation from retests.
Require automated calculation of risk-reward levels.
Futuristic Indicator v3 - Enhanced Glow & Strength MetersTo ensure candles are display by script go to trading view settings and uncheck default Candle, Body and Wick to prevent them from plotting over your modified candles.
Futuristic Indicator v3 - Enhanced Glow & Strength Meters: Detailed Breakdown
This Modern styled Pine Script indicator is designed to enhance technical analysis by providing a visually striking OLED-style dashboard with multiple market insights. It integrates trend detection, momentum analysis, volatility tracking, and strength meters into a single, streamlined interface for traders.
1️⃣ Customizable Features for Flexibility
The indicator offers multiple user-configurable settings, allowing traders to adjust the display based on their trading strategy and preferences. Users can toggle elements such as strength meters, volatility indicators, trend arrows, moving averages, and buy/sell alerts. Additionally, background and candle colors can be customized for better readability.
🔹 Why is this useful?
Traders can customize their charts to focus on the data they care about.
Reduces chart clutter by allowing users to toggle features on or off.
2️⃣ Trend Detection Using EMAs
This indicator detects market trends using two Exponential Moving Averages (EMA):
A "Fast" EMA (shorter period) for quick trend shifts.
A "Slow" EMA (longer period) to confirm trends.
Comparison of the two EMAs determines if the trend is bullish (uptrend) or bearish (downtrend).
The indicator colors the trend lines accordingly and adds a trend arrow 📈📉 for quick visual cues.
🔹 Why is this useful?
EMA crossovers are widely used to identify trend reversals.
Provides clear visual cues for traders to confirm entry & exit points.
3️⃣ RSI-Based Momentum Analysis
The indicator integrates the Relative Strength Index (RSI) to gauge market momentum. The momentum value changes color dynamically based on whether it's in bullish (>50) or bearish (<50) territory.
🔹 Why is this useful?
RSI helps identify overbought and oversold conditions.
Detects trend strength by measuring the speed of price movements.
4️⃣ Bullish & Bearish Strength Meters
The indicator quantifies bullish and bearish market strength based on RSI and converts it into a percentage-based meter:
Bullish Strength (Long Strength)
Bearish Strength (Short Strength)
Strength meters are displayed using OLED-styled bars, dynamically changing in real-time.
🔹 Why is this useful?
Allows traders to visually gauge market sentiment at a glance.
Helps confirm if a trend has strong momentum or is losing strength.
5️⃣ Market Volatility Indicator (ATR-Based)
The indicator includes a volatility tracker using the Average True Range (ATR):
ATR is scaled up to provide easier readability.
Higher ATR values indicate higher market volatility.
🔹 Why is this useful?
Helps traders identify potential breakout or consolidation phases.
Allows better risk management by understanding price fluctuations.
6️⃣ Trend Strength Calculation
The indicator calculates trend strength based on the difference between the EMAs:
A higher trend strength value suggests a stronger directional trend.
Displayed as a percentage for better clarity.
🔹 Why is this useful?
Helps traders differentiate between strong and weak trends.
Reduces the likelihood of entering weak or choppy markets.
7️⃣ OLED-Style Dashboard for Market Data
A futuristic OLED-styled table is used to display critical market data in a visually appealing way:
Trend direction (Bullish/Bearish with an arrow 📈📉).
Current price.
Momentum value.
Strength meters (Bullish/Bearish).
Trend strength percentage.
Volatility Meter
The dashboard uses high-contrast colors and neon glow effects, making it easier to read against dark backgrounds.
🔹 Why is this useful?
Provides a centralized view of key trading metrics.
Eliminates the need to manually calculate trend strength.
8️⃣ Modern Style Neon Glow Effects
To enhance visibility, the indicator applies glowing effects to:
Moving Averages (EMAs): Highlighted with layered glow effects.
Candlesticks: Borders and wicks dynamically change color based on trend direction.
🔹 Why is this useful?
Improves readability in low-contrast or dark-mode charts.
Helps traders spot trends faster without reading numerical data.
9️⃣ Automated Buy & Sell Alerts
The script triggers alerts when momentum crosses key levels:
Above 55 → Potential Long Setup
Below 45 → Potential Short Setup.
🔹 Why is this useful?
Alerts help traders react quickly without constantly monitoring the chart.
Reduces the risk of missing critical trade opportunities.
🔹 Final Summary: Why is This Indicator Useful?
This futuristic cyberpunk-styled trading tool enhances traditional market analysis by combining technical indicators with high-visibility visuals.
🔹 Key Benefits:
✅ Customizable Display – Toggle elements based on trading needs.
✅ Trend Detection – EMAs highlight uptrends & downtrends.
✅ Momentum Tracking – RSI-based momentum gauge identifies strong moves.
✅ Strength Meters – Bullish/Bearish power is clearly visualized.
✅ Volatility Insights – ATR-based metric highlights market turbulence.
✅ Trend Strength Analysis – Quantifies trend intensity.
✅ Dashboard – Provides a centralized, easy-to-read data panel.
✅ Cyberpunk Neon Glow – Enhances clarity with stylish aesthetics.
✅ Real-Time Alerts – Helps traders react to key opportunities.
This indicator is designed to be both functional and visually appealing, making market analysis more intuitive and efficient. 🚀
Drawdown from 22-Day High (Daily Anchored)This Pine Script indicator, titled "Drawdown from 22-Day High (Daily Anchored)," is designed to plot various drawdown levels from the highest high over the past 22 days. This helps traders visualize the performance and potential risk of the security in terms of its recent high points.
Key Features:
Daily High Data:
Fetches daily high prices using the request.security function with a daily timeframe.
Highest High Calculation:
Calculates the highest high over the last 22 days using daily data. This represents the highest price the security has reached in this period.
Drawdown Levels:
Computes various drawdown levels from the highest high:
2% Drawdown
5% Drawdown
10% Drawdown
15% Drawdown
25% Drawdown
45% Drawdown
50% Drawdown
Dynamic Line Coloring:
The color of the 2% drawdown line changes dynamically based on the current closing price:
Green (#02ff0b) if the close is above the 2% drawdown level.
Red (#ff0000) if the close is below the 2% drawdown level.
Plotting Drawdown Levels:
Plots each drawdown level on the chart with specific colors and line widths for easy visual distinction:
2% Drawdown: Green or Red, depending on the closing price.
5% Drawdown: Orange.
10% Drawdown: Blue.
15% Drawdown: Maroon.
25% Drawdown: Purple.
45% Drawdown: Yellow.
50% Drawdown: Black.
Labels for Drawdown Levels:
Adds labels at the end of each drawdown line to indicate the percentage drawdown:
Labels display "2% WVF," "5% WVF," "10% WVF," "15% WVF," "25% WVF," "45% WVF," and "50% WVF" respectively.
The labels are positioned dynamically at the latest bar index to ensure they are always visible.
Explanation of Williams VIX Fix (WVF)
The Williams VIX Fix (WVF) is a volatility indicator designed to replicate the behavior of the VIX (Volatility Index) using price data instead of options prices. It helps traders identify market bottoms and volatility spikes.
Key Aspects of WVF:
Calculation:
The WVF measures the highest high over a specified period (typically 22 days) and compares it to the current closing price.
It is calculated as:
WVF
=
highest high over period
−
current close
highest high over period
×
100
This formula provides a percentage measure of how far the price has fallen from its recent high.
Interpretation:
High WVF Values: Indicate increased volatility and potential market bottoms, suggesting oversold conditions.
Low WVF Values: Suggest lower volatility and potentially overbought conditions.
Usage:
WVF can be used in conjunction with other indicators (e.g., moving averages, RSI) to confirm signals.
It is particularly useful for identifying periods of significant price declines and potential reversals.
In the script, the WVF concept is incorporated into the drawdown levels, providing a visual representation of how far the price has fallen from its 22-day high.
Example Use Cases:
Risk Management: Quickly identify significant drawdown levels to assess the risk of current positions.
Volatility Monitoring: Use the WVF-based drawdown levels to gauge market volatility.
Support Levels: Utilize drawdown levels as potential support levels where price might find buying interest.
This script offers traders and analysts an efficient way to visualize and track important drawdown levels from recent highs, helping in better risk management and decision-making. The dynamic color and label features enhance the readability and usability of the indicator.
Matrix Series and Vix Fix with VWAP CCI and QQE SignalsMatrix Series and Vix Fix with VWAP CCI and QQE Signals
Short Title: Advanced Matrix
Purpose
This Pine Script combines multiple technical analysis tools to create a comprehensive trading indicator. It incorporates elements like support/resistance zones, overbought/oversold conditions, Williams Vix Fix, QQE (Quantitative Qualitative Estimation) signals, VWAP CCI signals, and a 200-period SMA for trend filtering. The goal is to provide actionable buy and sell signals with enhanced visualization.
Key Features and Components
1. Matrix Series
Smoothing Input: Allows customization of EMA smoothing for the indicator (default: 5).
Support/Resistance Zones: Based on CCI (Commodity Channel Index) values.
Dynamic zones calculated with customizable parameters (SupResPeriod, SupResPercentage, PricePeriod).
Candlestick Visualization: Custom candlestick plots with colors indicating trends.
Dynamic levels for overbought/oversold conditions.
2. Overbought/Oversold Signals
Overbought and oversold levels are adjustable (ob and os).
Plots circles on the chart to highlight extreme conditions.
3. Williams Vix Fix
Identifies potential reversal points by analyzing volatility.
Uses Bollinger Bands and percentile thresholds to detect high-probability entries.
Includes two alert levels (alert1 and alert2) with customizable criteria for signal filtering.
4. QQE Signals
Based on the smoothed RSI and QQE methodology.
Detects trend changes using adaptive ATR bands (FastAtrRsiTL).
Plots long and short signals when specific conditions are met.
5. VWAP CCI Signals
Combines VWAP and CCI for additional trade signals.
Detects crossovers and crossunders of CCI levels (-200 and 200) to generate long and short signals.
6. 200 SMA
A 200-period simple moving average is plotted to act as a trend filter.
The script rules recommend buying only when the price is above the SMA200.
Customizable Inputs
General:
Smoothing, support/resistance periods, overbought/oversold levels.
Williams Vix Fix:
Lookback periods, Bollinger Band settings, percentile thresholds.
QQE:
RSI length, smoothing factor, QQE factor, and threshold values.
VWAP CCI:
Length for calculating deviations.
Visual Elements
Dynamic candlestick colors to indicate trend direction.
Overbought/oversold circles for extreme price levels.
Resistance and support lines.
Labels and shapes for buy/sell signals from Vix Fix, QQE, and VWAP CCI.
Alerts
Alerts are configured for the Matrix Series (e.g., "BUY MATRIX") and other components, ensuring traders are notified when significant conditions are met.
Intended Use
This indicator is designed for traders seeking a multi-faceted tool to analyze market trends, identify potential reversal points, and generate actionable trading signals. It combines traditional indicators with advanced techniques for comprehensive market analysis.
Repeating Vertical LinesThe "Repeating Vertical Lines" indicator visualizes recurring points in time on the chart by drawing background highlights based on user-defined conditions, including specific weekdays, times, or their combination. Users can customize the color and transparency of the lines for seamless chart integration.
Market Participation Ratio-MPR(TechnoBlooms)Market Participation Ratio (MPR) Indicator - Description
The Market Participation Ratio (MPR) is a custom indicator designed to assess market activity by analyzing price and volume relationships over a specified period. This indicator is useful for identifying trends, participation levels, and key thresholds in market behavior.
Key Features:
1. MPR Calculation:
o The indicator calculates a ratio of the current price and volume relative to their respective moving averages over a user-defined period (Length).
o This ratio is scaled to 100 for better visualization and comparison.
2. Smoothing:
o To reduce noise and make the trend clearer, the MPR is smoothed using an Exponential Moving Average (Smoothing Length), making it easier to interpret.
3. Zero Line & Threshold Levels:
o A zero line at 0 is plotted for baseline comparison.
o Horizontal reference lines at 100 (threshold for strong participation) and 50 (optional secondary level) help in evaluating market trends.
Usage:
• Traders can use the MPR to identify when market participation is increasing or decreasing, which may signal potential trend reversals or continuations.
• Values above 100 often suggest robust market activity, favorable for long positions.
• Values below 100 may indicate waning interest, potentially signaling pullbacks or bearish trends.
Customizable Inputs:
• Length: Adjusts the moving average period for price and volume calculations.
• Smoothing Length: Determines the degree of smoothing applied to the MPR.
Applications:
• Trend Analysis: Detect shifts in bullish or bearish momentum based on participation levels.
• Market Strength: Identify periods of increased or reduced market involvement by traders and investors.
• Entry/Exit Signals: Use levels around 100 as potential cues for positioning in the market.
This indicator is versatile for both short-term and long-term trading strategies and is a valuable addition for technical analysis enthusiasts seeking deeper insights into market dynamics.
[Helper] Trade Journal TableThis indicator serves as a starting point for creating a customized trade journal that meets individual requirements. It provides a basic structure for visualizing trade data in table form which can be adapt to specific needs. The trade data must be maintained directly within the script using the Pine Editor.
Basic Structure:
The example table consists of six columns: Date, Entry Price, Exit Price, Profit/Loss (color-coded), Strategy, and Notes. It is displayed centrally on the chart and dynamically adjusts to the number of recorded trades.
Example Data:
To demonstrate its functionality, the indicator includes predefined example trades, which should be replaced with actual trading data. Additional information, such as strategies and notes, can be added to improve trade documentation.
P T Supertrend CustomPT Supertrend Custom Indicator Description
The PT Supertrend Custom indicator is a dual Supertrend-based tool designed to help traders identify market trends and potential reversals with enhanced accuracy. This custom indicator plots two Supertrend lines with different ATR (Average True Range) lengths and multipliers, providing a broader perspective on price movements across varying market conditions.
Key Features:
1. Dual Supertrend Lines:
- The indicator calculates two separate Supertrend values using customizable ATR lengths (default: 7 and 21) and factors (default: 3.0 for both).
- This dual-layered approach helps identify both short-term and long-term trends for better decision-making.
2. Customizable Parameters:
- ATR Length (ATR Length & ATR Length2): Determines the lookback period for volatility calculation.
- Factor (Factor & Factor2): Defines the multiplier for the ATR, controlling the sensitivity of the Supertrend lines.
3. Visual Trend Representation:
- Green and red line plots represent uptrends and downtrends, respectively.
- The indicator overlays on the price chart, offering a clear visual representation of trend direction.
- Trend fill areas provide additional clarity, with green shading for uptrends and red shading for downtrends.
4. Dynamic Trend Shifts:
- The indicator adapts dynamically based on price action, switching from an uptrend to a downtrend and vice versa when conditions change.
- Two independent trend signals allow traders to compare short-term and long-term trend confirmations.
5. Overlay on Price Chart:
- The indicator is plotted directly on the price chart for easy visualization without cluttering the workspace.
How to Use:
- Trend Identification:
- A green Supertrend line below price indicates an uptrend.
- A red Supertrend line above price signals a downtrend.
- When both Supertrends align, it indicates a strong trend; divergence may signal potential reversals.
- Entry & Exit Signals:
- Consider long positions when both Supertrend lines turn green.
- Consider short positions when both Supertrend lines turn red.
- Use the shorter ATR period for quicker entries and exits, while the longer ATR period provides confirmation.
- Risk Management:
- The Supertrend lines can serve as dynamic support/resistance levels for placing stop-loss orders.
Best Used In:
- Trend-following strategies
- Swing trading and day trading
- Volatile markets where ATR-based signals are effective
This indicator provides a comprehensive view of market trends by combining short- and long-term trend filters, making it a valuable tool for traders seeking precision and clarity in their trading decisions.
Created by Prince Thomas
PT Least Squares Moving AveragePT LSMA Multi-Period Indicator
The PT Least Squares Moving Average (LSMA) Multi-Period Indicator is a powerful tool designed for investors who want to track market trends across multiple time horizons in a single, convenient indicator. This indicator calculates the LSMA for four different periods— 25 bars, 50 bars, 450 bars, and 500 bars providing a comprehensive view of short-term and long-term market movements.
Key Features:
- Multi-Timeframe Trend Analysis: Tracks both short-term (25 & 50 bars) and long-term (450 & 500 bars) market trends, helping investors make informed decisions.
- Smoothing Capability: The LSMA reduces noise by fitting a linear regression line to past price data, offering a clearer trend direction compared to traditional moving averages.
- One-Indicator Solution: Combines multiple LSMA periods into a single chart, reducing clutter and enhancing visual clarity.
- Versatile Applications: Suitable for trend identification, market timing, and spotting potential reversals across different timeframes.
- Customizable Styling: Allows users to customize colors and line styles for each period to suit their preferences.
How to Use:
1. Short-Term Trends (25 & 50 bars):Ideal for identifying recent price movements and short-term trade opportunities.
2. Long-Term Trends (450 & 500 bars): Helps investors gauge broader market sentiment and position themselves accordingly for longer holding periods.
3. Trend Confirmation: When shorter LSMA periods cross above longer ones, it may signal bullish momentum, whereas the opposite may indicate bearish sentiment.
4. Support and Resistance: The LSMA lines can act as dynamic support and resistance levels during trending markets.
Best For:
- Long-term investors looking to align their positions with dominant market trends.
- Swing traders seeking confirmation from multiple time horizons.
- Portfolio managers tracking price momentum across various investment durations.
This LSMA Multi-Period Indicator equips investors with a well-rounded perspective on price movements, offering a strategic edge in navigating market cycles with confidence.
Created by Prince Thomas
Vertical & Open Lines - Yearly [MsF]Yearly Vertical & Open Lines Indicator
This indicator helps traders visualize yearly boundaries and track previous year's price levels. It draws:
- Vertical lines at the start of each year
- Horizontal lines showing previous year's open and close prices
- Optional labels with price information
Features:
- Customizable line colors and styles
- Toggle yearly vertical lines
- Show/hide previous year's price levels
- Optional price labels
- Next year line preview
Usage:
1. Add indicator to your chart
2. Adjust Base Time to match your market's yearly reset time
3. Customize colors and styles using input options
4. Toggle features as needed
Dragon Harmonic Pattern [TradingFinder] Dragon Detector🔵 Introduction
The Dragon Harmonic Pattern is one of the technical analysis tools that assists traders in identifying Potential Reversal Zones (PRZ). Resembling an "M" or "W" shape, this pattern is recognized in financial markets as a method for predicting bullish and bearish trends. By leveraging precise Fibonacci ratios and measuring price movements, traders can use this pattern to forecast market trends with high accuracy.
The Dragon Harmonic Pattern is built on the XABCD structure, where each point plays a significant role in shaping and forecasting price movements. Point X marks the beginning of the trend, representing the initial price movement. Point A indicates the first retracement, usually falling within the 0.380 to 0.620 range of the XA wave.
Next, point B signals the second retracement, which lies within 0.200 to 0.400 of the AB wave. Point C, acting as the hump of the pattern, is generally located within 0.800 to 1.100 of the XA wave. Finally, point D represents the endpoint of the pattern and the Potential Reversal Zone (PRZ), where the primary price reversal occurs.
In bullish scenarios, the Dragon Pattern indicates a reversal from a downtrend to an uptrend, where prices move upward from point D. Conversely, in bearish scenarios, prices decline after reaching point D. Accurate identification of this pattern through Fibonacci ratio analysis and PRZ examination can significantly increase the success rate of trades, enabling traders to adjust their strategies based on key market levels such as 0.618 or 1.100.
Due to its high accuracy in identifying Potential Reversal Zones (PRZ) and its alignment with Fibonacci ratios, the Dragon Harmonic Pattern is considered one of the most popular tools in technical analysis. Traders can use this pattern to pinpoint entry and exit points with greater confidence while minimizing trading risks.
Bullish :
Bearish :
🔵 How to Use
The Dragon Harmonic Pattern indicator helps traders identify bullish and bearish patterns in the market, allowing them to capitalize on available trading opportunities. By analyzing Fibonacci ratios and the XABCD structure, the indicator highlights Potential Reversal Zones (PRZ).
🟣 Bullish Dragon Pattern
In the Bullish Dragon Pattern, the price transitions from a downtrend to an uptrend after reaching point D. At this stage, points X, A, B, C, and D must be carefully identified.
Fibonacci ratios for these points are as follows: Point A should fall within 0.380 to 0.620 of the XA wave, point B within 0.200 to 0.400 of the AB wave, and point C within 0.800 to 1.100 of the XA wave.
When the price reaches point D, traders should look for bullish signals such as reversal candlesticks or increased trading volume to enter a buy position. The take-profit level can be set near the previous price high or based on the 1.272 Fibonacci ratio of the XA wave, while the stop-loss should be placed slightly below point D.
🟣 Bearish Dragon Pattern
In the Bearish Dragon Pattern, the price shifts from an uptrend to a downtrend after reaching point D. In this pattern, points X, A, B, C, and D must also be identified. Fibonacci ratios for these points are as follows: Point A should fall within 0.380 to 0.620 of the XA wave, point B within 0.200 to 0.400 of the AB wave, and point C within 0.800 to 1.100 of the XA wave.
Upon reaching point D, bearish signals such as reversal candlesticks or decreasing trading volume indicate the opportunity to enter a sell position. The take-profit level can be set near the previous price low or based on the 1.272 Fibonacci ratio of the XA wave, while the stop-loss should be placed slightly above point D.
By combining the Dragon Harmonic Pattern indicator with precise Fibonacci ratio analysis, traders can identify key opportunities while minimizing risks and improving their decision-making in both bullish and bearish market conditions.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🔵 Conclusion
The Dragon Harmonic Pattern is an advanced and practical technical analysis tool that aids traders in accurately predicting bullish and bearish trends by identifying Potential Reversal Zones (PRZ) and utilizing Fibonacci ratios. Built on the XABCD structure, this pattern stands out for its flexibility and precision in identifying price movements, making it a valuable resource among technical analysts. One of its key advantages is its compatibility with other technical tools such as trendlines, support and resistance levels, and Fibonacci retracements.
By using the Dragon Harmonic Pattern indicator, traders can accurately determine entry and exit points for their trades. The indicator analyzes key Fibonacci ratios—0.380 to 0.620, 0.200 to 0.400, and 0.800 to 1.100—to identify critical levels such as price highs and lows, offering precise trading strategies. In bullish scenarios, traders can profit from rising prices, while in bearish scenarios, they can capitalize on price declines.
In conclusion, the Dragon Harmonic Pattern is a highly reliable tool for identifying trading opportunities with exceptional accuracy. However, for optimal results, it is recommended to combine this pattern with other analytical tools and thoroughly assess market conditions. By utilizing this indicator, traders can reduce their trading risks while achieving higher profitability and confidence in their trading strategies.
One Shot One Kill ICT [TradingFinder] Liquidity MMXM + CISD OTE🔵 Introduction
The One Shot One Kill trading setup is one of the most advanced methods in the field of Smart Money Concept (SMC) and ICT. Designed with a focus on concepts such as Liquidity Hunt, Discount Market, and Premium Market, this strategy emphasizes precise Price Action analysis and market structure shifts. It enables traders to identify key entry and exit points using a structured Trading Model.
The core process of this setup begins with a Liquidity Hunt. Initially, the price targets areas like the Previous Day High and Previous Day Low to absorb liquidity. Once the Change in State of Delivery(CISD)is broken, the market structure shifts, signaling readiness for trade entry. At this stage, Fibonacci retracement levels are drawn, and the trader enters a position as the price retraces to the 0.618 Fibonacci level.
Part of the Smart Money approach, this setup combines liquidity analysis with technical tools, creating an opportunity for traders to enter high-accuracy trades. By following this setup, traders can identify critical market moves and capitalize on reversal points effectively.
Bullish :
Bearish :
🔵 How to Use
The One Shot One Kill setup is a structured and advanced trading strategy based on Liquidity Hunt, Fibonacci retracement, and market structure shifts (CISD). With a focus on precise Price Action analysis, this setup helps traders identify key market movements and plan optimal trade entries and exits. It operates in two scenarios: Bullish and Bearish, each with distinct steps.
🟣 Bullish One Shot One Kill
In the Bullish scenario, the process starts with the price moving toward the Previous Day Low, where liquidity is absorbed. At this stage, retail sellers are trapped as they enter short trades at lower levels. Following this, the market reverses upward and breaks the CISD, signaling a shift in market structure toward bullishness.
Once this shift is identified, traders draw Fibonacci levels from the lowest point to the highest point of the move. When the price retraces to the 0.618 Fibonacci level, conditions for a buy position are met. The target for this trade is typically the Previous Day High or other significant liquidity zones where major buyers are positioned, offering a high probability of price reversal.
🟣 Bearish One Shot One Kill
In the Bearish scenario, the price initially moves toward the Previous Day High to absorb liquidity. Retail buyers are trapped as they enter long trades near the highs. After the liquidity hunt, the market reverses downward, breaking the CISD, which signals a bearish shift in market structure. Following this confirmation, Fibonacci levels are drawn from the highest point to the lowest point of the move.
When the price retraces to the 0.618 Fibonacci level, a sell position is initiated. The target for this trade is usually the Previous Day Low or other key liquidity zones where major sellers are active.
This setup provides a precise and logical framework for traders to identify market movements and enter trades at critical reversal points.
🔵 Settings
🟣 CISD Logical settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
🟣 LIQUIDITY Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 CISD Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 LIQUIDITY Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🔵 Conclusion
The One Shot One Kill setup is one of the most effective and well-structured trading strategies for identifying and capitalizing on key market movements. By incorporating concepts such as Liquidity Hunt, CISD, and Fibonacci retracement, this setup allows traders to enter trades with high precision at optimal points.
The strategy emphasizes detailed Price Action analysis and the identification of Smart Money behavior, helping traders to execute successful trades against the general market trend.
With a focus on identifying liquidity in the Previous Day High and Low and aligning it with Fibonacci retracement levels, this setup provides a robust framework for entering both bullish and bearish trades.
The combination of liquidity analysis and Fibonacci retracement at the 0.618 level enables traders to minimize risk and exploit major market moves effectively.
Ultimately, success with the One Shot One Kill setup requires practice, patience, and strict adherence to its rules. By mastering its concepts and focusing on high-probability setups, traders can enhance their decision-making skills and build a sustainable and professional trading approach.
Professional GBP/JPY Analysis ToolThe foundation of professional trading begins with analyzing individual currencies first, not just currency pairs. By understanding the relative strength of each currency in the pair, traders can anticipate potential market moves with greater accuracy.
This indicator simplifies that process by:
Analyzing Individual Currency Strength:
The strength of GBP is calculated by averaging its performance across seven major GBP currency pairs:
GBP/EUR
GBP/USD
GBP/CAD
GBP/CHF
GBP/AUD
GBP/NZD
GBP/JPY
The strength of JPY is calculated by averaging its performance across seven major JPY currency pairs:
JPY/USD
JPY/CAD
JPY/EUR
JPY/GBP
JPY/AUD
JPY/NZD
JPY/CHF
The values are normalized to allow direct comparison on the same scale.
Identifying Correlation Between GBP and JPY:
The histogram displays the correlation between GBP and JPY strength:
Positive Correlation (Green): Both GBP and JPY are trending up or down together, indicating a less strong trend. This is a market condition to avoid, as both currencies are strengthening or weakening simultaneously.
Negative Correlation (Red): One currency is strong while the other is weak, indicating a stronger trend in GBP/JPY. This scenario presents a better trading opportunity, as you are trading one strong currency against one weak currency, amplifying the potential for a clearer price movement in GBP/JPY.
Visualizing Long/Short Bias:
GBP Strength > JPY Strength: Bullish bias for GBP/JPY (green background).
JPY Strength > GBP Strength: Bearish bias for GBP/JPY (red background).
This indicator equips traders with a deeper understanding of GBP/JPY dynamics by first breaking down the individual currencies. With insights into currency strength, their correlation, and the optimal conditions for trading, it provides a solid foundation for making informed trading decisions.
How to Use:
Check the Histogram for Correlation:
Wait for the histogram to be red. This indicates that GBP and JPY are moving in opposite directions, signaling a stronger trend where you're trading a strong currency against a weak one—a more favorable setup.
Align with Background Color for Confirmation:
Wait for the background color to match your trade plan:
Green Background: Confirms a bullish bias, supporting long positions on the GBP/JPY pair.
Red Background: Confirms a bearish bias, supporting short positions on the GBP/JPY pair.
By following these steps, you can identify stronger trade opportunities and align them with your strategy.
Demand and Supply Zones Intraday Strategy(SAMARESH PANDA)Explanation:
Input Parameters:
length: Determines the number of bars to look back for identifying the highest and lowest prices to mark demand and supply zones.
zoneBuffer: A buffer in pips to place the stop and limit orders near the identified demand and supply zones.
Demand and Supply Zones:
The script identifies demand zones as the lowest low over the past length bars and supply zones as the highest high over the same period.
Buy (Long) Condition:
A buy signal is generated when the price crosses above the demand zone from below and the price closes above the demand zone.
Sell (Short) Condition:
A sell signal is generated when the price crosses below the supply zone from above and the price closes below the supply zone.
Stop and Limit Orders:
For long trades, the stop is placed just below the demand zone (zoneBuffer), and the limit is placed just above the demand zone.
For short trades, the stop is placed just above the supply zone (zoneBuffer), and the limit is placed just below the supply zone.
Exit Conditions:
The long position is closed when the price moves above the supply zone.
The short position is closed when the price moves below the demand zone.
Additional Notes:
Customization: You can modify the length and zoneBuffer values to adjust how sensitive the strategy is to price action and the zone buffers.
Risk Management: You may want to add additional filters for volume, indicators like RSI/MACD, or other market conditions to filter out false signals.
Testing & Optimization: As with any strategy, it's important to backtest and optimize it according to your preferred market conditions and risk tolerance.
Using the Strategy:
Apply the script to a 1-hour or 30-minute chart for identifying the demand and supply zones.
For better precision in entry, you can switch to a lower timeframe (like 5-minute or 15-minute) to execute your trades more accurately when the price reaches a demand or supply zone.
The buy and sell signals will appear on the chart as green (BUY) and red (SELL) labels.
Example of Execution:
Long Entry: The price closes above the demand zone and crosses up. A long position is opened with a stop below the demand zone and a limit near it.
Short Entry: The price closes below the supply zone and crosses down. A short position is opened with a stop above the supply zone and a limit near it.
This strategy works best in trending markets where price tends to respect these zones. Make sure to monitor the strategy closely and adjust it based on market volatility or changes in the broader trend.
You said:
create a pine script pivot point standard for buy sell
ChatGPT said:
ChatGPT
Sure! Below is a Pine Script that implements the Pivot Point Standard for intraday trading, with buy and sell signals based on the pivot point strategy.
Pivot points are calculated based on the previous day’s high, low, and close prices, and they are widely used in intraday trading to determine potential support and resistance levels.
Intraday Chaos FilterIntraday trading requires precise tools and strategies to navigate the chaotic fluctuations of the market. The "Intraday Chaos Filter" indicator is designed to provide traders with a systematic approach to managing market noise. This Pine Script™ indicator helps identify potential trend shifts and provides a visual representation of price action, aiding in making informed trading decisions. By focusing on reducing market chaos, it aims to provide a clearer picture of the underlying trend, regardless of the volatility.
At the heart of the indicator lies the multiplier input, a customizable setting that adjusts the sensitivity of the filter. The multiplier directly influences the chaos threshold by determining the percentage deviation allowed before signaling a trend reversal. A higher multiplier results in a less sensitive filter, reducing the number of signals during minor price fluctuations. This flexibility allows traders to adapt the indicator to different trading styles and market conditions, making it versatile for a range of intraday strategies.
The "Intraday Chaos Filter" operates by tracking two key price levels: src1 and src2, representing the highest and lowest prices during a trend. These levels are dynamically adjusted based on the closing price, ensuring that the indicator adapts in real time. The trend direction is determined by comparing the current price against a calculated filter level. When the price crosses the threshold in either direction, it signals a potential trend reversal, marked by a change in candle colors on the chart. Green represents an upward trend, while red signifies a downward trend, making it visually intuitive for traders.
This indicator's simplicity and clarity make it a valuable addition to any trader's toolkit. By focusing on trend direction and filtering out minor fluctuations, it helps traders stay focused on significant market movements. The integration of customizable settings ensures adaptability to various trading preferences, providing both novice and experienced traders with a reliable tool for intraday decision-making. The "Intraday Chaos Filter" offers an effective way to navigate market noise, enabling traders to identify opportunities with confidence.
Dynamic EMA CrossoverThe Dynamic EMA Crossover indicator is designed to help traders identify trend transitions, visually understand market direction, and detect sideways consolidation zones. It simplifies decision-making by dynamically changing colors and highlighting areas of interest.
Key Features:
1. Dynamic EMA Crossovers:
• Uses two EMAs (default: 9 and 26 ) to identify bullish and bearish trends.
• EMAs and the area between them turn green during bullish trends and red during bearish trends for easy visualization.
2. Sideways Market Detection:
• Automatically detects periods of market consolidation when EMAs overlap for 10 consecutive candles and the price movement remains narrow.
• Sideways zones are highlighted with grey background, helping traders avoid false breakouts and trendless markets.
3. Customizable Inputs:
• Adjust the lengths of the two EMAs and the sensitivity of the overlap detection to match your trading style and market conditions.
How It Works:
• Trend Identification:
• When the shorter EMA crosses above the longer EMA, a bullish trend is indicated.
• When the shorter EMA crosses below the longer EMA, a bearish trend is indicated.
• The indicator dynamically adjusts the colors of the EMAs and fills the area between them for clear trend visibility.
• Sideways Market Detection:
• When the shorter EMA and longer EMA stay close (within a customizable sensitivity) for a fixed period (hardcoded to 10 candles), the indicator identifies a sideways market.
• This feature helps traders avoid entering trades during choppy or indecisive market conditions.
Who Is This For?
This indicator is ideal for:
• Trend traders looking for clear signals of trend direction.
• Swing traders who want to avoid trading in sideways markets.
• Scalpers who need quick and reliable visual cues for short-term market behavior.
Use Cases:
1. Bullish/Bearish Trends:
• Enter trades in the direction of the trend as the crossover occurs and colors change.
2. Sideways Zones:
• Avoid trades during periods of consolidation and wait for a clear breakout.
Mashup Logic:
This indicator combines:
1. EMA Crossovers:
• A tried-and-tested method for trend detection using two moving averages.
• Dynamic visual cues for bullish and bearish market phases.
2. Sideways Market Detection:
• Innovative logic to highlight sideways zones based on EMA overlap and price range analysis.
• Helps reduce noise and avoid trading during trendless periods.
3. Customization and Flexibility:
• Fully adjustable EMA lengths and overlap sensitivity to adapt to different markets and trading styles.
Lost Bar Locator v1 [Yaphott]Lost Bar Locator v1 helps you locate missing data on your chart.
It does this by looking for consecutive bars that have a delta time greater than the current interval.
Two lines are drawn for each group of one or more missing bars:
Bar before the missing bar(s).
Bar after the missing bar(s).
Buy Signal Forex & Crypto v0 ImprovedPurpose of the Script:
This script is designed to generate buy and sell signals for trading Forex and cryptocurrencies by analyzing price trends using exponential moving averages (EMAs), volatility, and volume filters. The signals are displayed as arrows on the chart.
What the Script Does
Input Settings:
The script allows the user to configure various settings, such as the lengths of EMAs, a higher timeframe for trend confirmation, and thresholds for volume and volatility (ATR - Average True Range).
Key settings:
5 EMA Length – Length of the short-term EMA.
13 EMA Length – Length of the medium-term EMA.
26 EMA Length – Length of the long-term EMA.
21 EMA Length – Used for trend confirmation on a higher timeframe.
Higher Timeframe – Lets you select a timeframe (e.g., daily) for confirming the overall trend.
ATR Threshold – Filters out signals when the market's volatility is too low.
Volume Filter – Ensures sufficient trading activity before generating signals.
Calculating EMAs (Exponential Moving Averages):
Four EMAs are calculated:
ema5 (short-term), ema13 (medium-term), ema26 (long-term), and ema21 (higher timeframe confirmation).
These EMAs help determine price trends and crossovers, which are critical for identifying buy and sell opportunities.
Trend Confirmation Using a Higher Timeframe:
The 21 EMA on the higher timeframe (e.g., daily) is used to confirm the overall direction of the market.
Defining Signal Conditions:
Buy Signal:
A buy signal is generated when:
ema5 crosses above ema13 (indicating a bullish trend).
ema5 crosses above ema26 (stronger bullish confirmation).
The closing price is above ema5, ema13, ema26, and the 21 EMA on the higher timeframe.
The market's volatility (ATR) is above the defined threshold.
The volume meets the conditions or volume filtering is disabled.
Sell Signal:
A sell signal is generated when:
ema5 crosses below ema13 (indicating a bearish trend).
ema5 crosses below ema26 (stronger bearish confirmation).
The closing price is below ema5, ema13, ema26, and the 21 EMA on the higher timeframe.
The market's volatility (ATR) is above the defined threshold.
The volume meets the conditions or volume filtering is disabled.
Volume Filtering:
Ensures there’s enough trading activity by comparing the current volume to a 20-period moving average of volume.
Persistent Variables:
These variables (crossed13 and crossed13Sell) help track whether the short-term EMA (ema5) has crossed the medium-term EMA (ema13). This prevents false or repeated signals.
Displaying Signals on the Chart:
Buy signals are displayed as green upward arrows below the price.
Sell signals are displayed as red downward arrows above the price.
How It Helps Traders:
This script provides visual cues for potential entry and exit points by combining moving average crossovers, volatility, volume, and higher timeframe trend confirmation. It works well for trending markets and ensures signals are filtered for stronger conditions to reduce noise.
Chart InfoOVERVIEW
What would a general summary of the symbol on the chart look like? Here’s an example: This script was created to help you easily access the essential details of a symbol, which I believe are critical for daily use.
CONCEPTS
When using any indicator or analysing price movement, the characteristics of the chart become important. Each symbol has a unique character and the more we can quickly find out about it, the better. Instead of embedding those details within each individual indicator, it is often more practical to access these data through an external tool. This indicator presents the following results related to the symbol on your chart in a table format:
ID : Ticker ID (Exchange, Base Currency, and Quote Currency)
TIMEFRAME : The chart's time period
START : The starting date of the chart
FINISH : The finishing date of the chart
INTERVAL : The total time between the start and finish dates (based on timeframe). The current bar is not included in the total time until it is closed.
BAR INDEX : The total number of bars on the chart (can also be viewed in both forward and backward directions in the data window as a series type).
VOLATILITY : Percentage ratio of 14-bar ATR to close.
CHANGE : The daily percentage change.
HODL : The percentage return that would be gained if the symbol had been bought and held since the first bar.
DAILY BUY : The percentage return that would be gained if the same amount of buying was made daily (a kind of DCA).
MECHANICS
This is a very simple script. I didn't add user-defined timestamp inputs because I didn’t want to overwhelm the indicator with parameters. However, if requested, i can make improvements in this direction in a second version.
NOTES
I live in Istanbul, so I designed the default timezone offset as GMT+3. Please remember to adjust it according to your own timezone to ensure the date results are accurate.
I hope it helps everyone. Do not forget to manage your risk. And trade as safely as possible. Best of luck!