Santa's Secrets | FractalystSanta’s Secrets is a visually engaging trading tool that infuses holiday cheer into your charts. Inspired by the enchanting, mysterious vibes of the holiday season, this indicator overlays price charts with dynamic, multi-colored glitches that sync with market data, delivering a festive and whimsical visual experience.
The indicator brings a magical touch to your charts, featuring characters from classic holiday themes (e.g., Santa, reindeer, snowflakes, gift boxes) to create a fun and festive “glitch effect.” Users can select a theme for their matrix characters, adding a holiday twist to their trading visuals. As the market data moves, these themed characters are randomly picked and displayed on the chart in a colorful cascade.
Underlying Calculations and Logic
1.Character Management:
The indicator uses arrays to manage different sets of holiday-themed characters, such as Santa’s sleigh, snowflakes, and reindeer. These arrays allow dynamic selection and update of characters as the market moves, mimicking a festive glitch effect.
2. Current and Previous States:
Arrays track the current and previous states of characters, ensuring smooth transitions between visual updates. This dual-state management enables the effects to look like a magical, continuous movement, just like Santa’s sleigh cruising through the winter night.
3. Transparency Control:
Transparency levels are controlled through arrays, adjusting opacity to create subtle fading effects or more intense visual appearances. The result is a festive glow that can fade or intensify depending on the market’s volatility.
4. Rain Effect Simulation:
To create the “snowfall” or “glitching lights” effect, the indicator manages arrays that simulate falling characters, like snowflakes or candy canes, continuously updating their position and visibility. As new characters enter the top of the screen, older ones disappear from the bottom, with fading transparency to simulate a seamless flow.
5. Operational Flow:
• Initialization: Arrays initialize the characters and transparency controls, readying the script for smooth and continuous updates during trading.
• Updates: During each cycle, new characters are selected and the old ones shift, with updates in both content and appearance ensuring the matrix effect is visually appealing.
• Rendering: The arrays control how the characters are rendered, ensuring the magical holiday effect stays lively and eye-catching without interrupting the trading flow.
How to Use Santa’s Secrets Indicator
1. Apply the Indicator to Your Charts:
Add the Santa’s Secrets indicator to your chart, activating the holiday-themed visual effect on your selected trading instrument or time frame.
2. Select Your Holiday Theme:
In the settings, choose the holiday theme or character set. Whether it’s Santa’s sleigh, reindeer, snowflakes, or gift boxes, pick the one that brings the most festive cheer to your charts.
3. Choose Your Visual Effect (Snowfall or Glitch Burst):
Select between the “Snowfall” effect, where characters gently drift down the chart like snowflakes, or the “Glitch Burst” effect, where characters explode outward in a burst of holiday cheer, representing bursts of market volatility.
4. Adjust the Color for Holiday Vibes:
Customize the color of the characters to match your chart’s aesthetic or reflect different market conditions. Choose from red for a downtrend, green for an uptrend, or opt for a gradient of colors to capture a true holiday spirit.
5. Fit the Matrix to Your Display:
Adjust the width and height of the matrix display to make sure it fits perfectly with your chart layout. Ensure it doesn’t obscure your view while still providing the holiday-themed magic.
What Makes Santa’s Secrets Indicator Unique?
Holiday Theme Selection:
Santa’s Secrets allows traders to choose from a variety of holiday-themed characters. Whether you prefer the traditional Santa’s sleigh, snowflakes, reindeer, or gift boxes, you can bring the festive spirit into your trading. This personalized touch adds a fun, holiday twist to your charts and keeps you engaged during the festive season.
Dynamic Effects:
Choose between two exciting visual modes – Snowfall Mode or Glitch Burst Mode. The Snowfall Mode brings a gentle, peaceful effect with characters cascading down the chart like snowflakes, while Glitch Burst Mode creates a more intense effect, radiating characters outward in an explosive, holiday-themed display.
Customizable Holiday Colors:
Traders can fully customize the color of the matrix characters to match their trading environment. Whether you want a traditional red and green for a Christmas mood or a blue and white snow effect, Santa’s Secrets allows you to create the perfect holiday atmosphere while you trade.
Universal Display Compatibility:
No matter what screen or device you’re using – whether it’s a large monitor, laptop, or mobile – Santa’s Secrets is fully adjustable to fit your screen size. The holiday effect remains visually striking without compromising the integrity of your chart data.
Wishing you a happy year filled with success, growth, and profitable trades.🎅🎁
Let's kick off the new year strong with Santa's Secrets! 🚀🎄
חפש סקריפטים עבור "profitable"
Supertrend StatsSupertrend with Probabilistic Stats and MA Filter
Overview: The Supertrend with Probabilistic Stats and MA Filter is a comprehensive TradingView Pine Script indicator designed to enhance trading strategies by combining the trend-detection capabilities of the Supertrend indicator with the trend-confirmation strength of Moving Averages (MA). Additionally, it offers robust statistical tracking to provide traders with valuable insights into the performance and reliability of their trading signals.
Key Features:
Supertrend Indicator Integration:
Trend Detection: Utilizes the Supertrend algorithm to identify prevailing market trends.
Buy/Sell Signals: Generates clear buy and sell signals based on trend reversals.
Customizable Parameters: Allows adjustment of ATR period and multiplier to suit different trading styles and market conditions.
Visual Aids: Plots Supertrend lines on the chart and highlights trend areas for easy visualization.
Moving Average (MA) Filter:
Trend Confirmation: Filters buy signals to occur only when the open price is above the MA and sell signals only when the open price is below the MA.
Customizable MA Types: Supports various MA types, including SMA, EMA, SMMA (RMA), WMA, and VWMA.
Flexible Configuration: Offers options to enable/disable the MA filter, select MA type, set MA length, and adjust MA source and offset.
Statistical Tracking:
Trimmed Mean Calculation: Computes trimmed means for bullish and bearish movements, removing outliers to provide a more accurate average movement.
Success Rate Metrics: Calculates the success rates (%) for both bullish and bearish signals, indicating the percentage of signals that resulted in favorable price movements.
Candle Count Analysis: Tracks the average number of candles each bullish and bearish move lasts, offering insights into the duration of trends.
Data Visualization: Presents all statistical data in a neatly formatted table on the chart, allowing for quick reference and analysis.
Customizable Statistics Table:
Text Color Customization: Provides an option to change the table text color to match personal preferences or chart aesthetics, enhancing readability.
Comprehensive Metrics: Displays key statistics such as Bullish/Bearish Averages, Counts, Success Rates, and Average Candle Counts.
Optional Pinbar Filtering:
Signal Refinement: Adds an additional layer of signal confirmation by filtering buy and sell signals based on pinbar candlestick patterns.
Adjustable Thresholds: Allows customization of the pinbar wick threshold to fine-tune signal accuracy.
Visual Enhancements:
Markers: Optionally displays markers on the first and last candles of bullish and bearish moves for better trend identification.
Highlighter: Shades the chart background to indicate current trend direction, aiding in visual trend recognition.
How It Works:
Trend Identification with Supertrend:
The indicator calculates the Supertrend based on user-defined ATR periods and multipliers.
It plots the Supertrend lines and generates buy/sell signals when the price crosses these lines, indicating a potential trend reversal.
Filtering Signals with Moving Average:
When the MA filter is enabled, the indicator ensures that buy signals are only considered valid if the candle's open price is above the selected MA, and sell signals only if the open price is below the MA.
This additional confirmation aligns trades with the broader market trend, potentially increasing signal reliability.
Statistical Analysis:
Upon triggering a buy or sell signal, the indicator records the entry price and tracks the subsequent price movements.
It calculates trimmed means to assess average movements while excluding extreme outliers.
Success rates are computed by comparing the closing price against the entry price, indicating how often signals result in favorable outcomes.
The average number of candles per move provides insight into trend duration and volatility.
Visualization and Customization:
All statistical data is presented in a table on the chart, with customizable text colors for enhanced readability.
Optional pinbar filtering and visual markers further refine and illustrate trading signals, aiding in decision-making.
Benefits to Traders:
Enhanced Signal Reliability:
By combining Supertrend with an MA filter, the indicator ensures that only signals aligning with the broader market trend are considered, potentially reducing false signals.
Data-Driven Decision Making:
The comprehensive statistical tracking offers traders insights into the performance of their signals, enabling informed adjustments to their trading strategies based on empirical data.
Trend Confirmation and Alignment:
The MA filter acts as a trend confirmation tool, ensuring that trades are placed in the direction of the prevailing trend, which can enhance the probability of successful trades.
Performance Metrics at a Glance:
The statistics table provides all necessary performance metrics in a single view, allowing traders to quickly assess the effectiveness of their strategy without sifting through extensive data.
Customization and Flexibility:
With options to adjust MA types, lengths, and table text colors, traders can tailor the indicator to fit their specific preferences and trading environments.
Visual Clarity and Aids:
The plotted Supertrend lines, MA line, signal markers, and highlighter enhance visual clarity, making it easier to identify trends and potential trade opportunities on the chart.
Usage Instructions:
Adding the Indicator:
Copy the Script: Select and copy the entire Pine Script provided.
Open TradingView: Navigate to TradingView and open your desired asset's chart.
Access Pine Editor: Click on the Pine Editor tab at the bottom of the TradingView interface.
Paste and Add to Chart: Paste the script into the editor and click "Add to Chart" to apply the indicator.
Configuring Settings:
Supertrend Parameters: Adjust the ATR period and multiplier to suit your trading style and the asset's volatility.
MA Filter Settings:
Enable MA Filter: Toggle "Enable MA Filter?" to ON to activate the filter.
Select MA Type: Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA.
Set MA Length: Define the period for the MA calculation.
MA Source and Offset: Choose the price source (default is close) and set any desired plot offset.
Statistical Tracking:
Trimmed Mean Percentage: Set the percentage to trim outliers in mean calculations.
Show Cross Markers: Toggle to display or hide markers on the first and last candles of bullish and bearish moves.
Table Customization:
Table Text Color: Select your preferred text color for the statistics table to match your chart's theme or enhance readability.
Pinbar Filtering (Optional):
Enable Pinbar Filtering: Toggle to refine signals based on pinbar patterns.
Set Pinbar Wick Threshold: Adjust the threshold to define the characteristics of a valid pinbar.
Interpreting the Indicators:
Buy/Sell Signals: Look for labeled "BUY" and "SELL" signals on the chart that align with Supertrend reversals and MA conditions.
Statistics Table: Refer to the table located at the bottom right of the chart to assess:
Bullish/Bearish Averages: Average price movements following signals.
Counts: Total number of bullish and bearish signals.
Success Rates (%): Percentage of signals that resulted in profitable trades.
Candle Averages: Average duration of bullish and bearish moves in terms of candle counts.
Markers and Highlighter: Utilize visual markers and shaded trend areas to better understand market trends and the context of each signal.
Making Informed Decisions:
Assess Signal Performance: Use the success rates and averages to evaluate the effectiveness of your current settings and make necessary adjustments.
Adjust Parameters: Modify Supertrend and MA parameters based on observed performance and changing market conditions to optimize signal accuracy.
Combine with Other Analysis: Integrate insights from this indicator with other technical analysis tools and fundamental factors to form a holistic trading strategy.
Conclusion: The Supertrend with Probabilistic Stats and MA Filter indicator offers a powerful combination of trend detection, signal filtering, and statistical analysis. By providing detailed performance metrics and ensuring that trades align with the broader market trend, this indicator empowers traders to make more informed, data-driven decisions. Whether you're a novice seeking clarity or an experienced trader aiming to refine your strategy, this tool serves as a valuable asset in your trading toolkit.
If you have any further questions or require additional customizations, feel free to reach out!
Buying and Selling Volume Pressure S/RThis custom indicator aims to visualize underlying market pressure by cumulatively analyzing where trade volume occurs relative to each candle's price range. By separating total volume into "buying" (when price closes near the high of the bar) and "selling" (when price closes near the low of the bar), the indicator identifies shifts in dominance between buyers and sellers over a defined lookback period.
When cumulative buying volume surpasses cumulative selling volume (a "bullish cross"), it suggests that buyers are gaining control. Conversely, when cumulative selling volume exceeds cumulative buying volume (a "bearish cross"), it indicates that sellers are taking the upper hand.
Based on these crossovers, the indicator derives dynamic Support and Resistance lines. After a bullish cross, it continuously tracks and updates the lowest low that occurs while the trend is bullish, forming a support zone. Similarly, after a bearish cross, it updates the highest high that appears during the bearish trend, forming a resistance zone.
A Mid Line is then calculated as the average of the current dynamic support and resistance levels, providing a central reference point. Around this Mid Line, the script constructs an upper and lower channel based on standard deviation, offering a sense of volatility or "divergence" from the mean level.
Finally, the indicator provides simple buy and sell signals: a buy signal is triggered when the price closes back above the Mid Line, suggesting a potential shift toward bullish conditions, while a sell signal appears when the price closes below the Mid Line, hinting at a possible bearish move.
In summary, this indicator blends volume-based market pressure analysis with adaptive support and resistance detection and overlays them onto the chart. It helps traders quickly gauge who controls the market (buyers or sellers), identify dynamic levels of support and resistance, and receive alerts on potential trend changes—simplifying decision-making in rapidly evolving market conditions.
Important Notice:
Trading financial markets involves significant risk and may not be suitable for all investors. The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research or consult with a qualified financial advisor before making trading decisions. Past performance is not indicative of future results.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
Market Anomaly Detector (MAD)Market Anomaly Detector (MAD) Indicator - Detailed Description:
The Market Anomaly Detector (MAD) Indicator is a unique tool designed to identify potential market anomalies by combining several price action-based and momentum indicators. This indicator is especially useful for traders who seek to identify significant market shifts and anomalies before they become visible in conventional technical indicators.
Key Features of the MAD Indicator:
1. Z-Score Threshold for Anomaly Detection:
• The Z-Score measures how far a current price is from its average over a defined period, normalized by standard deviation. This allows the MAD indicator to detect outliers or anomalies in price movements.
• By adjusting the Z-Score Threshold, traders can tune the sensitivity of the indicator to capture only the most significant price deviations, filtering out noise and reducing false signals.
2. Volume and Liquidity Filter:
• Volume is a key indicator of market participation and sentiment. The MAD Indicator uses a volume multiplier to assess when price movements are supported by sufficient trading volume.
• A volume spike is identified when the current volume exceeds the average volume by a certain multiplier. This ensures that only high-confidence signals are generated, particularly useful for spotting trend reversals and breakout opportunities.
3. Signal Cooldown Period:
• To prevent overfitting and reduce false signals, a signal cooldown period is implemented. Once a buy or sell signal is triggered, the indicator waits for a specified number of bars (e.g., 5) before triggering another signal, even if the price action meets the criteria for a new signal. This helps maintain a cleaner trading environment and avoids confusion when the market is volatile.
4. Upper and Lower Bands for Trend Confirmation:
• The MAD Indicator uses bands based on the mean price and standard deviation, similar to Bollinger Bands. These upper and lower bands help to define the expected price range for a given period, indicating overbought or oversold conditions.
• The combination of Z-Score, volume, and band analysis helps pinpoint when the price breaks out of expected ranges, providing early warning signs for potential market shifts.
5. Trend Confirmation from Higher Timeframes:
• The MAD Indicator includes a multi-timeframe approach to trend confirmation, using the 50-period EMA on a higher timeframe (e.g., 1-hour chart). This ensures that signals are aligned with the overall market trend, enhancing the reliability of buy and sell signals.
How It Works:
• The MAD Indicator continuously monitors price action, volume, and statistical anomalies, using the Z-Score to determine when the price is significantly deviating from its historical average.
• When the price breaks above the upper band and a bullish anomaly is detected, a buy signal is generated. (Green Background)
• Similarly, when the price breaks below the lower band and a bearish anomaly is detected, a sell signal is triggered. (Red Background
• By filtering signals based on volume and using the cooldown period, the MAD Indicator ensures that only high-quality trades are signaled.
How to Use the MAD Indicator:
• Buy Signal: Occurs when the price breaks above the upper band and there is a significant deviation from the mean (bullish anomaly).
• Sell Signal: Occurs when the price breaks below the lower band and there is a significant deviation from the mean (bearish anomaly).
• Volume Confirmation: Ensure that the buy/sell signals are supported by a volume spike, indicating strong market participation.
• Signal Cooldown Period: After a signal is triggered, the indicator waits for the cooldown period to avoid triggering multiple signals in quick succession.
Why It’s Worth Paying For:
The MAD Indicator combines advanced statistical analysis (Z-Score), price action, and volume analysis to identify market anomalies and breakouts before they are visible on standard indicators. By leveraging the power of mean reversion and statistical anomalies, this tool provides traders with high-confidence signals that can lead to profitable trades, especially in volatile markets. The integration of a multi-timeframe trend filter ensures that signals are aligned with the overall market trend, reducing the likelihood of false breakouts.
This indicator is ideal for trend-following traders looking for high-probability entries and mean-reversion traders aiming to capture price deviations. The signal cooldown period and volume filter provide an additional layer of precision, ensuring that you only act on the strongest market signals.
Dollar Volume DivergenceOverview
The Dollar Volume Profile and Divergence Indicator is a comprehensive tool designed to analyze both standard volume and dollar volume activity in the market. It visualizes dollar volume (calculated as close * volume) and highlights divergences between dollar volume and standard volume, providing insights into underlying market dynamics that aren't immediately visible with traditional volume analysis.
Key Features
Dollar Volume Profile:
Plots dollar volume as a histogram.
Highlights high-dollar volume bars in green (indicating significant trading activity).
Includes an optional average dollar volume line to show trends over time.
Volume-Divergence Analysis:
Calculates the difference (divergence) between dollar volume and standard volume.
Displays positive divergence (dollar volume > standard volume) in green and negative divergence (dollar volume < standard volume) in red.
Supports both histogram and boolean point visualization for divergence, offering flexibility in how the data is displayed.
Customizable Visualization:
Users can toggle between a Histogram or Boolean Points for divergence visualization.
Option to enable or disable the dollar volume profile and its average line.
Adjustable length parameter to fine-tune sensitivity for averages and divergences.
Use Cases
Volume Confirmation: Analyze whether dollar volume aligns with standard volume to confirm strong price movements.
Divergence Detection: Identify areas where dollar volume and standard volume deviate, which may signal potential reversals or exhaustion in a trend.
Market Strength Analysis: Assess the intensity of trading activity at specific price levels to determine key areas of interest.
How It Works
Dollar Volume Calculation:
Dollar volume is derived by multiplying the close price by the volume for each bar.
A moving average of dollar volume is used to determine relative activity levels.
Divergence Calculation:
The script calculates the difference between dollar volume and standard volume.
Positive values indicate that dollar volume exceeds standard volume, suggesting institutional or larger-scale trades.
Negative values highlight areas of lower dollar volume compared to standard volume.
Visualization:
The Dollar Volume Profile is displayed as a histogram, with high-dollar volume bars highlighted.
Divergences are overlaid as either a histogram or triangle markers, depending on user preference.
Average lines (optional) provide smoother trends for both dollar volume and divergence.
Customization Options
Length: Adjusts the period for moving average calculations.
Plot Style: Choose between Histogram or Boolean Points for divergence visualization.
Toggle Visibility: Enable or disable the Dollar Volume Profile and its average line for a cleaner chart.
Why Use This Indicator?
This indicator bridges the gap between traditional volume analysis and dollar volume analysis, offering deeper insights into market behavior. By combining these metrics, traders can detect nuanced patterns, validate trends, and identify divergences that may signal market turning points or continuation.
Best Practices
Use this indicator in conjunction with price action and other technical indicators for confirmation.
Look for divergences in high-dollar volume areas to detect potential trend reversals.
Analyze the interaction between the dollar volume profile and divergence histogram for a comprehensive view of market activity.
Important Notice:
Trading financial markets involves significant risk and may not be suitable for all investors. The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research or consult with a qualified financial advisor before making trading decisions. Past performance is not indicative of future results.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
Enhanced Reversal DetectorEnhanced Reversal Detector - Script Description
Overview:
The Enhanced Reversal Detector is a highly refined indicator designed to identify precise trend reversals in financial markets. It improves upon the original reversal detection logic by incorporating additional filters for trend confirmation (using EMA), volume spikes, and candle patterns. These enhancements significantly increase the reliability and accuracy of reversal signals, making it an excellent tool for both short-term and long-term traders.
Key Features
Candle Lookback Logic:
The indicator evaluates historical price action over a user-defined lookback period to detect potential reversal zones.
Bullish reversal conditions are met when price consistently tests lows, and bearish reversal conditions are met when price tests highs.
Trend Confirmation (EMA Filter):
To ensure that reversal signals align with the broader market trend, the indicator incorporates an Exponential Moving Average (EMA) filter.
Bullish signals are only triggered when the price is above the EMA, while bearish signals are only triggered when the price is below the EMA.
Volume Spike Filter:
The indicator checks for significant increases in trading volume to confirm that the reversal is supported by strong market activity.
Volume spikes are calculated as trading volume exceeding a multiple of the 20-bar average volume (default: 1.5x).
Confirmation Period:
Users can define a confirmation window within which reversal signals must be validated.
This reduces false positives and ensures only strong reversals are considered.
Non-Repainting Mode:
Offers a non-repainting option, where signals are based on confirmed conditions from previous bars, ensuring reliability for backtesting.
Visual and Alert Features:
Clear visual markers on the chart indicate bullish (green triangle) and bearish (red triangle) reversal points.
Alert notifications can be enabled for both bullish and bearish reversals, keeping traders informed in real-time.
Inputs
Candle Lookback: Number of candles to evaluate for reversal conditions.
Confirm Within: Number of candles within which a reversal must be validated.
Non-Repainting Mode: Option to enable or disable repainting for signals.
EMA Length: The length of the Exponential Moving Average used for trend confirmation.
Volume Spike Multiplier: Multiplier for identifying significant increases in trading volume.
How It Works
Reversal Detection:
Bullish signals are triggered when:
Price consistently tests recent lows (lookback period).
Price closes above the EMA.
A significant volume spike occurs.
Bearish signals are triggered under opposite conditions (price testing highs, closing below EMA, and volume spike).
Signal Filtering:
Incorporates EMA and volume-based filters to eliminate false positives and focus on high-confidence reversal signals.
Alert Notifications:
Alerts notify users of bullish or bearish reversal opportunities as soon as they are detected.
Use Cases
Scalping and Day Trading:
Ideal for identifying reversals on lower timeframes (e.g., 1-minute or 5-minute charts).
Swing Trading:
Works effectively on higher timeframes (e.g., 1-hour or daily charts) for capturing significant
trend reversals.
Volatile Markets:
Particularly useful in high-volatility markets like cryptocurrencies or forex.
Customization Tips
Adjust the lookback period to fine-tune the sensitivity of the reversal detection.
Increase the volume spike multiplier for markets with irregular trading volumes to focus on significant moves.
Experiment with the EMA length to align signals with your trading strategy's preferred trend duration.
Conclusion
The Enhanced Reversal Detector combines advanced price action analysis, trend confirmation, and market participation filters to deliver high-accuracy reversal signals. With its customizable settings and robust filtering mechanisms, this indicator is an invaluable tool for identifying profitable trading opportunities while minimizing noise and false signals.
Spot PositionThis TradingView indicator helps traders manage their trades by providing visual information about open trades and profit/loss ratios. The indicator allows users to enter trade details such as entry price, stop loss, number of targets, and desired profit percentage. The indicator displays the current profit or loss percentage in real time, with profitable trades highlighted in green and losing trades in red. The indicator also displays profit and loss levels as well as the risk-to-reward ratio (RRR) for each trade, helping traders make quick and informed decisions.
This indicator does not provide signals or contribute to candlestick analysis; it is only for tracking your open trades to see where they have reached in a simple and easy graphical way, allowing better access to profit and loss ratios
The indicator allows adding five open trades at once and plots the targets of each trade on the chart and displays a table with a summary of open trades in terms of profit and loss
You can write your trade targets by writing the prices of all targets and separating each price with a comma (,) or write the number of targets and the profit percentage and the indicator will distribute the targets evenly over the prices
Ask-Weighted Averages This indicator provides two price-based reference lines derived from volume dynamics within each bar. Specifically, it calculates a volume-weighted average price using only the portion of trading volume that occurred on the "ask" side, implying more aggressive buying activity. The logic behind this approach is to highlight potential support and resistance levels where buyers have shown greater conviction.
Key Features:
Ask-Weighted Average Prices:
Instead of using the entire trade volume, the lines focus on "ask volume" (volume associated with trades occurring at or near the ask price). This helps to spotlight areas where buyers have been dominant, potentially revealing more meaningful price levels for future market behavior.
Conditional vs. Continuous Lines:
Conditional Line: This line is only plotted if the dollar volume (a rough measure of trade value) exceeds a specified threshold, ensuring that the highlighted level is backed by substantial trading activity.
Continuous Line: A second line is always displayed, providing a running ask-weighted average price reference for additional context, regardless of dollar volume.
Supports Identifying Key Price Zones:
By focusing on where more motivated buyers have been active, the indicator helps traders identify potential inflection points in price, such as areas where the market might find support on pullbacks or resistance during rallies.
Overall, this indicator serves as a specialized tool for traders interested in volume-driven price analysis. It aims to refine the understanding of where buyers are most engaged and how that might shape future price movements.
Risks Associated with Trading:
No indicator can guarantee profitable trades or accurately predict future price movements. Market conditions are inherently unpredictable, and reliance on any single tool or combination of tools carries the risk of financial loss. Traders should practice sound risk management, including the use of stop losses and position sizing, and should not trade with funds they cannot afford to lose. Ultimately, decisions should be guided by a thorough trading plan and possibly supplemented with other forms of market analysis or professional advice.
Risks and Important Considerations:
• Not a Standalone Tool:
• This indicator should not be used in isolation. It is essential to incorporate additional technical analysis tools, fundamental analysis, and market context when making trading decisions.
• Relying solely on this indicator may lead to incomplete assessments of market conditions.
• Market Volatility and False Signals:
• Financial markets can be highly volatile, and indicators based on historical data may not accurately predict future movements.
• The indicator may produce false signals due to sudden market changes, low liquidity, or atypical trading activity.
• Risk Management:
• Always employ robust risk management strategies, including setting stop-loss orders, diversifying your portfolio, and not over-leveraging positions.
• Understand that no indicator guarantees success, and losses are a natural part of trading.
• Emotional Discipline:
• Avoid making impulsive decisions based on indicator signals alone.
• Emotional trading can lead to significant financial losses; maintain discipline and adhere to a well-thought-out trading plan.
• Continuous Learning and Adaptation:
• Stay informed about market news, economic indicators, and global events that may impact trading conditions.
• Continuously evaluate and adjust your trading strategies as market dynamics evolve.
• Consultation with Professionals:
• Consider seeking advice from financial advisors or professional traders to understand better how this indicator can fit into your overall trading strategy.
• Professional guidance can provide personalized insights based on your financial goals and risk tolerance.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
WhalenatorThis custom TradingView indicator combines multiple analytic techniques to help identify potential market trends, areas of support and resistance, and zones of heightened trading activity. It incorporates a SuperTrend-like line based on ATR, Keltner Channels for volatility-based price envelopes, and dynamic order blocks derived from significant volume and pivot points. Additionally, it highlights “whale” activities—periods of exceptionally large volume—along with an estimated volume profile level and approximate bid/ask volume distribution. Together, these features aim to offer traders a more comprehensive view of price structure, volatility, and institutional participation.
This custom TradingView indicator integrates multiple trading concepts into a single, visually descriptive tool. Its primary goal is to help traders identify directional bias, volatility levels, significant volume events, and potential support/resistance zones on a price chart. Below are the main components and their functionalities:
SuperTrend-Like Line (Trend Bias):
At the core of the indicator is a trend-following line inspired by the SuperTrend concept, which uses Average True Range (ATR) to adaptively set trailing stop levels. By comparing price to these levels, the line attempts to indicate when the market is in an uptrend (price above the line) or a downtrend (price below the line). The shifting levels can provide a dynamic sense of direction and help traders stay with the predominant trend until it shifts.
Keltner Channels (Volatility and Range):
Keltner Channels, based on an exponential moving average and Average True Range, form volatility-based envelopes around price. They help traders visualize whether price is extended (touching or moving outside the upper/lower band) or trading within a stable range. This can be useful in identifying low-volatility consolidations and high-volatility breakouts.
Dynamic Order Blocks (Approximations of Supply/Demand Zones):
By detecting pivot highs and lows under conditions of significant volume, the indicator approximates "order blocks." Order blocks are areas where institutional buying or selling may have occurred, potentially acting as future support or resistance zones. Although these approximations are not perfect, they offer a visual cue to areas on the chart where price might react strongly if revisited.
Volume Profile Proxy and Whale Detection:
The indicator highlights price levels associated with recent maximum volume activity, providing a rough "volume profile" reference. Such levels often become key points of price interaction.
"Whale" detection logic attempts to identify bars where exceptionally large volume occurs (beyond a defined threshold). By tracking these "whale bars," traders can infer where heavy participation—often from large traders or institutions—may influence market direction or create zones of interest.
Approximate Bid/Ask Volume and Dollar Volume Tracking:
The script estimates whether volume within each bar leans more towards the bid or the ask side, aiming to understand which participant (buyers or sellers) might have been more aggressive. Additionally, it calculates dollar volume (close price multiplied by volume) and provides an average to gauge the relative participation strength over time.
Labeling and Visual Aids:
Dynamic labels display Whale Frequency (the ratio of bars with exceptionally large volume), average dollar volume, and approximate ask/bid volume metrics. This gives traders at-a-glance insights into current market conditions, participation, and sentiment.
Strengths:
Multifaceted Analysis:
By combining trend, volatility, volume, and order block logic in one place, the indicator saves chart space and simplifies the analytical process. Traders gain a holistic view without flipping between multiple separate tools.
Adaptable to Market Conditions:
The use of ATR and Keltner Channels adapts to changing volatility conditions. The SuperTrend-like line helps keep traders aligned with the prevailing trend, avoiding constant whipsaws in choppy markets.
Volume-Based Insights:
Integrating whale detection and a crude volume profile proxy helps traders understand where large players might be interacting. This perspective can highlight critical levels that might not be evident from price action alone.
Convenient Visual Cues and Labels:
The indicator provides quick reference points and textual information about the underlying volume dynamics, making decision-making potentially faster and more informed.
Weaknesses:
Heuristic and Approximate Nature:
Many of the indicator’s features, like the "order blocks," "whale detection," and the approximate bid/ask volume, rely on heuristics and assumptions that may not always be accurate. Without actual Level II data or true volume profiles, the insights are best considered as supplementary, not definitive signals.
Lagging Components:
Indicators that rely on past data, like ATR-based trends or moving averages for Keltner Channels, inherently lag behind price. This can cause delayed signals, particularly in fast-moving markets, potentially missing some early opportunities or late in confirming market reversals.
No Guaranteed Predictive Power:
As with any technical tool, it does not forecast the future with certainty. Strong volume at a certain level or a bullish SuperTrend reading does not guarantee price will continue in that direction. Market conditions can change unexpectedly, and false signals will occur.
Complexity and Overreliance Risk:
With multiple signals combined, there’s a risk of information overload. Traders might feel compelled to rely too heavily on this one tool. Without complementary analysis (fundamentals, news, or additional technical confirmation), overreliance on the indicator could lead to misguided trades.
Conclusion:
This integrated indicator offers a comprehensive visual guide to market structure, volatility, and activity. Its strength lies in providing a multi-dimensional viewpoint in a single tool. However, traders should remain aware of its approximations, inherent lags, and the potential for conflicting signals. Sound risk management, position sizing, and the use of complementary analysis methods remain essential for trading success.
Risks Associated with Trading:
No indicator can guarantee profitable trades or accurately predict future price movements. Market conditions are inherently unpredictable, and reliance on any single tool or combination of tools carries the risk of financial loss. Traders should practice sound risk management, including the use of stop losses and position sizing, and should not trade with funds they cannot afford to lose. Ultimately, decisions should be guided by a thorough trading plan and possibly supplemented with other forms of market analysis or professional advice.
Risks and Important Considerations:
• Not a Standalone Tool:
• This indicator should not be used in isolation. It is essential to incorporate additional technical analysis tools, fundamental analysis, and market context when making trading decisions.
• Relying solely on this indicator may lead to incomplete assessments of market conditions.
• Market Volatility and False Signals:
• Financial markets can be highly volatile, and indicators based on historical data may not accurately predict future movements.
• The indicator may produce false signals due to sudden market changes, low liquidity, or atypical trading activity.
• Risk Management:
• Always employ robust risk management strategies, including setting stop-loss orders, diversifying your portfolio, and not over-leveraging positions.
• Understand that no indicator guarantees success, and losses are a natural part of trading.
• Emotional Discipline:
• Avoid making impulsive decisions based on indicator signals alone.
• Emotional trading can lead to significant financial losses; maintain discipline and adhere to a well-thought-out trading plan.
• Continuous Learning and Adaptation:
• Stay informed about market news, economic indicators, and global events that may impact trading conditions.
• Continuously evaluate and adjust your trading strategies as market dynamics evolve.
• Consultation with Professionals:
• Consider seeking advice from financial advisors or professional traders to understand better how this indicator can fit into your overall trading strategy.
• Professional guidance can provide personalized insights based on your financial goals and risk tolerance.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
ICTProTools | ICT Insight - Market Environment🚀 INTRODUCTION
The Market Environment Indicator provides traders with an essential contextual framework for analyzing price movements. Built on the principles of ICT (Inner Circle Trader) and Smart Money Concepts (SMC), this tool offers a structured view of how institutional players drive markets through liquidity manipulation and price level interactions. By defining the market environment, the indicator helps traders focus on the most relevant price zones, reducing distractions and enhancing decision-making.
At its core, the Interbank Dealing Range (IBDR) creates a clear structure of protected highs/lows and Premium/Discount zones , highlighting key areas for potential price reactions. This framework gives traders a lens to interpret market behavior and concentrate on meaningful liquidity zones and price action. The indicator helps traders navigate the market with precision, spotting significant opportunities while filtering out market noise. Indeed, the IBDR isn't always easily identifiable, and not every move will form a distinct dealing range.
This indicator goes beyond mere price levels… It reveals the larger market context in which prices evolve. By mastering this environment, traders can align their strategies with institutional logic and make well-informed decisions.
💎 FEATURES
The Interbank Dealing Range (IBDR) is a crucial concept within the ICT methodology that helps traders identify the market environment across multiple timeframes, specifically the premium and discount zones. The IBDR delineates areas where traders have the potential to buy low and sell high.
Its extremes are defined by the sweep of both buy-side and sell-side liquidity . These levels indicate the boundaries within which price is expected to evolve . Understanding these boundaries allows traders to determine where it is appropriate to enter or exit trades.
The primary goal of utilizing the IBDR is to capitalize on price movements by buying at discounted levels and selling at premium levels. This strategy aligns with the fundamental principle of trading: to buy at lower prices and sell at higher prices, maximizing profit potential.
By visualizing the IBDR on your charts, you can gain valuable insights into the prevailing market conditions and make informed trading decisions that align with the institutional approach to buying and selling.
This chart illustrates the Interbank Dealing Range (IBDR) applied to the US100 index, displaying two from different timeframes: a 1-hour (1h) IBDR on the left and a 30-minute (30m) IBDR on the right. This multi-timeframe view provides essential context for price action analysis.
The 1h IBDR could here function as the primary reference range, establishing key boundaries (High and Low) for price movement. Within this range, the Equilibrium (midpoint) separates the Premium zone (above) from the Discount zone (below). The 0.25 and 0.75 levels add further precision by subdividing these zones.
Price action then flows between these zones, creating and targeting liquidity at higher and lower levels through Relative Equal Highs and Lows. A strong upward movement into the deeper level of the Premium Zone captures high-side liquidity (with a notable reaction at the FVG on the left), forming a secondary 30m IBDR. After this liquidity sweep, the remaining liquidity is on the low side. Price then reverses downward toward it. Here, the 30m IBDR would suggest a confirmation for a potential sell entry by targeting the IBDR lows.
The relationship between the broader 1h IBDR, the more detailed 30m IBDR, and all related levels creates a powerful analytical framework. The larger timeframe provides context, while the smaller one reveals specific trading opportunities by providing entry confirmations.
✨ SETTINGS
IBDR Metrics: Adjust the timeframe and sensitivity for calculating the IBDR so traders can adapt the indicator to both short-term intraday movements and longer-term trends.
Premium/Discount Zones: Customize the levels such as 0, 0.5, 1, and other levels like 0.25 and 0.75 by default and their displayed colors and associated labels.
Alerts: Configure the alerts for Premium/Discount zones, High/Low breaks, and new IBDR, ensuring traders are kept up to date on key market events.
🎯 CONCLUSION
The Market Environment indicator serves as a powerful tool for analyzing and navigating market structure through liquidity zones. It helps identify optimal buy and sell areas while aligning with the institutional logic of major market players. While its features provide a valuable edge, it’s essential to remember that none should be used on its own, and many more factors go into being a profitable trader.
ICTProTools | ICT Insight - Momentum Structures🚀 INTRODUCTION
The Momentum Structures Indicator builds upon the principles of ICT (Inner Circle Trader) and Smart Money Concepts (SMC) to give traders a clearer view of market dynamics. These methods reveal how institutional trading activity shapes price movements, particularly through different types of market liquidity.
The indicator is designed to provide traders with advanced insights into market dynamics by focusing on key price imbalances and higher-timeframe structures . By combining these elements, the indicator allows users to analyze price behavior across multiple timeframes, helping them anticipate potential liquidity pools and price reversals. The emphasis on price imbalances and liquidity zones makes it a versatile tool for both intraday and longer-term strategies, providing critical insights for understanding market cycles and potential turning points.
💎 FEATURES
Imbalance Bar Colors / Zones
Imbalances are fundamental components of the ICT methodology, highlighting areas where price accelerates, creating gaps that may indicate a lack of liquidity . These voids often point to potential reversal or continuation zones in the price action.
An imbalance typically arises when supply and demand are out of balance, resulting in a gap between price levels. Traders keep a close eye on these gaps, as they could present opportunities to enter trades when the price revisits them , as they suggest a strong institutional interest.
We can notice two types of imbalances… A Fair Value Gap (FVG) usually forms from three consecutive candles, defining the space between the wicks of the first and last candle. Conversely, a Volume Imbalance (VI) occurs when a gap appears between the opening and closing prices of two consecutive candles. When these imbalances align with FVGs, they offer a well-rounded framework for assessing market strength.
By analyzing both FVGs and VIs together, traders can gain valuable insight into potential price movements and better evaluate the likelihood of continuation or reversal.
This chart illustrates the Fair Value Gaps (FVG) and Volume Imbalances (VI) within the GBPUSD price action. The FVG Bar Color and FVG Zone represent the same Fair Value Gaps, and similarly, the VI Bar Color and VI Zone display the same Volume Imbalances. They highlight areas where rapid price movements have created gaps in the market. These gaps indicate potential zones for trade entries or exits as the price may return to fill them. As we can see on the chart, the major part of imbalances created has already been filled. They constitute really interesting Point of Interest (POI).
The 50% FVG line marks the midpoint of the gap, which is often considered an important level for price action. A clear example appears in the Bearish FVG on the top left, where price first filled it below the midline, creating a small reaction. The price then liquidated this "fake mitigation" by moving just above the midline before beginning its significant downward movement. This demonstrates the crucial role of imbalances and how precisely price interacts with them.
Traders can use this information to identify potential buying or selling opportunities based on the interaction of price with these gaps and volume imbalances, aiding in the development of their trading strategies.
PO3 Candles (Power of Three)
The Power of Three is a critical concept in the ICT methodology that analyzes Higher Timeframe (HTF) candles focusing on the opening price, high wick, low wick, and closing price. This framework helps traders understand the current market cycle, in three phases , and its trading implications.
Accumulation Phase: In this initial phase, the price consolidates around the opening price as the market gathers liquidity. This often signals that larger players are positioning for the next move.
Manipulation Phase: Represented by the candle wicks, this phase indicates the extreme points where liquidity grabs often occur. Observing these wicks helps traders identify the end of the accumulation phase and potential turning points.
Distribution Phase: The candle body reflects a decisive price movement in one direction , following accumulation and manipulation. Traders align with the direction of this phase to capture the “real candle move”.
Our indicator provides you with the valuable capability to integrate the True Day Range, as defined by ICT. This concept, rooted in institutional logic, defines a trading day as starting at 00:00 New York time. You can customize it to match your trading style and analysis needs.
You can also overlay imbalances (FVG and VI) directly onto PO3 Candles, seamlessly combining imbalance detection with high-timeframe price action. This approach gives you a sharper market perspective, uncovering potential turning points with greater clarity.
In summary, PO3 Candles help traders assess the market structure and identify cycle positions on HTF candles, enabling them to make more strategic trading decisions, which allows for better entry and exit timing, avoiding traps, and seizing the best opportunities to capture significant market moves.
This chart illustrates the application of the Power of Three concept to EURUSD price action, highlighting key phases of market behavior.
In this example, we observe the Daily candles, where a significant Bullish imbalance appears from previous days, forming a Fair Value Gap (FVG). Additionally, there’s a small Volume Imbalance (VI) at the candle's opening, signaling liquidity that the price needs to fill.
Now, focusing on the Weekly candle, we can clearly identify its phases. First, there's an accumulation phase around the opening price, which, as shown by the Daily candles, took some time to develop. Then, the manipulation phase occurs, signaled by the upper wick of the Weekly candle, which liquidates the previously created accumulation. It’s time to look for a potential selling position... Finally, the price falls, beginning to form its bearish body and completing the real move of the week.
This framework allows traders to better understand the market structure and make informed decisions based on the current cycle.
Standard Deviation (STD)
The Standard Deviation (STD) is a concept within the ICT methodology that focuses on identifying periods of consolidation within the market. Specifically, it examines the Central Bank Dealers Range (CBDR) , which occurs between 13:00 and 23:00 New York time. During this period, the market often exhibits consolidation , creating an environment where price action stabilizes before making significant moves.
This consolidation forms the basis of the Standard Deviation (STD) concept. This is based on the idea that the volatility observed during this consolidation phase can be used to anticipate future market volatility. Once this consolidation is identified, the STD framework duplicates the established range both above and below the consolidation area.
As price approaches these duplicated levels, it offers traders critical information on where to anticipate potential reactions. If the price nears the upper boundary of the consolidation, it suggests a potential reversal point, indicating an opportunity to consider selling. Conversely, if the price approaches the lower boundary, it may signal an opportunity to look for buying positions . This duplication could enable traders to determine potential high and low points for the trading day or week for example.
Finally, the Standard Deviation (STD) concept provides a valuable framework for identifying potential key reaction points in the market by leveraging consolidation within the CBDR. By duplicating these ranges, traders can anticipate significant price movements and refine their strategies.
This chart illustrates the Standard Deviation (STD) concept applied to EURUSD price action. The highlighted areas in blue indicate high duplications and low duplications derived from the consolidation identified during the Central Bank Dealing Range (CBDR), marked by the dark gray rectangle.
The high duplications represent potential resistance levels, suggesting areas where the price may encounter selling pressure, while the low duplications signify potential support levels, indicating where buying interest could emerge.
The annotations emphasize how price reacts at these duplicated levels, showing the critical role of the STD in determining where price movements may stall or reverse. In this example, the price responded perfectly to both an upward and a downward duplication, confirming that these levels could represent the day's high and low, an observation validated here. This highlights the precision of price movements, with the price stopping exactly at the full duplication levels (but we can not that the price could also have paused at the midline levels, indicated by the dashed gray lines).
This visualization helps traders anticipate potential reactions and align their strategies with market dynamics, ensuring informed decision-making based on established price behavior.
✨ SETTINGS
Imbalance Bar Colors / Zones: Choose to display FVGs, VIs, or both, with customizable color settings. Choose to extend zones or set them to be removed when mitigated.
PO3 Candles: Customize the PO3 Candles for different timeframes (Daily, Weekly, Monthly), including the calculation Mode (Classic or True Day Range) and timezone associated, and set your body, border, and wick preferred colors. The Imbalance Bar Color and FVG Zones can also be displayed on these HTF candles, as they are configured in their settings.
STD: Select the timeframe on which to base it and configure the number of duplications and midline settings. You can also define the time range and timezone related to consolidation detection, giving you control over when and where the STD should apply.
🎯 CONCLUSION
The Momentum Structures Indicator combines the core principles of ICT and Smart Money Concepts to provide traders with advanced tools for understanding market dynamics. By focusing on key elements like imbalances and liquidity zones, it offers a comprehensive framework for analyzing price behavior. This indicator empowers traders to identify key market phases, anticipate potential reversals, and refine their entry and exit points with precision. While its features provide a valuable edge, it’s essential to remember that none should be used on its own and many more factors go into being a profitable trader.
ICTProTools | ICT Insight - Time & Price Zones🚀 INTRODUCTION
The Time and Price Zones indicator builds upon the foundational concepts of ICT (Inner Circle Trader) and Smart Money Concepts (SMC). These methodologies analyze the behavior of institutional traders (known as "smart money") by focusing on liquidity, key price levels, and market timing.
Liquidity refers to areas with high concentrations of pending orders (stops, take-profits, entries) in the market. Large institutions efficiently need to execute their massive orders without causing excessive slippage. To achieve this, they strategically create and exploit liquidity pools by driving the price toward areas where retail traders cluster their positions.
Then, through "liquidity grabs" or "stop hunts,” institutions accumulate or distribute positions at optimal prices . This strategy allows them to fill large orders with minimal market impact, typically clearing out retail traders' positions before the price reverses.
This indicator helps traders apply these principles by merging time-based and price-based analysis tools for better market understanding. By combining high-impact sessions like Kill Zones with pivotal price markers such as Previous Highs and Lows, traders can see where institutional activity intersects with liquidity pools, improving their decision-making.
This powerful combination allows users to monitor market dynamics in real time, helping them spot sentiment shifts and identify crucial turning points more effectively.
💎 FEATURES
Kill Zones
Kill Zones are critical periods of the trading day characterized by heightened institutional activity, resulting in increased liquidity and significant price movements. By recognizing these zones, you can strategically focus your efforts on the most advantageous moments for trading.
The Asian Session , which runs from 5 PM to 1 AM New York time, serves as an essential liquidity provider before the onset of more volatile trading periods. This session is intricately linked to the Smart Money Tool (SMT - See below), as the highs and lows established during this period provide foundational liquidity levels. You can set alerts when these levels are breached , allowing you to stay informed without constant chart monitoring and make timely trading decisions.
Transitioning into the London Kill Zone from 2 to 5 AM New York time marks the beginning of the European session, often associated with increased volatility. Following this, the New York Kill Zone , occurring from 7 to 10 AM , sees significant overlap between the London and New York sessions, where liquidity flows intensify and frequently correlate with notable price reversals. Finally, the London Close from 10 to 12 PM signifies the end of the European session, often ending the day with a retracement in the daily range.
Thanks to the timezone you can select relative to a region, Kill Zones will automatically adapt to time changes throughout the year and between different brokers , ensuring accurate Kill Zone timings without manual adjustments.
Incorporating our advanced Kill Zones indicator into your trading strategy gives you unparalleled insights and enhanced functionality. With integrated alerts for breaches of key levels, you can stay informed and ready to act without the need for constant chart monitoring, allowing you to focus on executing your trading strategies effectively.
We can see on this chart the identified Kill Zones during the trading day on EURUSD , including the Asian Session in gray, which tends to consolidate slightly (creating liquidity), the London Kill Zone in orange, which tends to move fast, often taking Asian quickly, the New York Kill Zone in green, with always a lot of movements, and the London Close in blue, seeming rather to retrace.
The midline indicates the 50% mark of the session, serving as a reference point for potential price reactions. Additionally, the highs and lows established during the Asian Session are linked to the Smart Money Tool (SMT) and can trigger alerts when breached. Here, you could have received an alert when Asian Low (marked AL) and Asian High (marked AH) were swept.
Previous & Open Levels
Previous and Open levels are key elements in ICT methodology, showing important price points from major timeframes (Daily, Weekly, Monthly). These levels (Previous High, Low, Open, and their separators) help traders understand price dynamics and anticipate market shifts.
The Previous levels connect directly to the Smart Money Tool (SMT - See below) as they provide foundational liquidity levels. In ICT methodology, previous are levels where many traders place their Stop Loss, thus creating liquidity. This helps you understand potential market reactions and whether prices will likely continue their trend or reverse.
You’ll be instantly notified whenever the price interacts with any of these Previous levels. This means you can stay informed about critical market movements without the need to monitor your charts constantly.
The indicator also displays Opening prices and includes separators for daily, weekly, and monthly levels, offering a clear market overview.
Open levels can act as simplified indicators of Premium and Discount Zones. To be above the opening price can be considered as the Premium Zone , where the market offers higher prices, typically suitable for selling opportunities. Conversely, to be below this price can be considered as the Discount Zone , where prices are relatively lower, offering potential buying opportunities.
These visual elements help you identify crucial market zones that reflect both past price action and current market dynamics.
Our indicator offers you the exclusive ability to integrate the True Day Range, as described by ICT. Based on institutional logic, this concept defines the trading day starting at 00:00 New York time. You can adapt this flexible feature to match your trading style and analysis needs.
By incorporating our advanced Previous levels indicator into your trading arsenal, you gain powerful insights and enhanced functionality.
The chart above displays key Previous and open levels on EURUSD , including the Month, Week, and Day lines, along with separators for enhanced clarity. All levels are based on the True Day Range Mode. The notes indicate significant price points, highlighting how the price interacts with these important levels, which helps us to understand it…
We can start with the biggest liquidity, the Previous Month. In this example, we can see the PMH, and the price seems to have used this level as a reversal point. The PM levels are indeed significant liquidity zones. We can observe the creation of wicks that interact with this level, signaling a liquidity grab.
Following this, the price drops quickly before rebounding, creating a liquidity range, that will probably be liquidated then… This is why it rises again to form what is now the PDH (Previous Day High), using it as liquidity (inducement) while using the PWH (Previous Week High) as a rebound level. The PWH is indeed a High Resistance (HR) area since there is only a few liquidity at this point thanks to the liquidity grab. The price has no reason to move higher.
Looking ahead, we can forecast that the price may continue its decline, potentially targeting lower liquidity levels. There is likely additional liquidity beneath the current range, particularly near the PDL (Previous Day Low) and PWL (Previous Week Low).
Additionally, we can note that at this point, the price was above the D.O.P (Daily Open) and W.O.P (Weekly Open), areas where selling would be more favorable. The price reacts significantly around these levels, creating large wicks, demonstrating their importance.
SMT Dashboard (Smart Money Tool)
The Smart Money Tool (SMT) is a powerful concept within the ICT methodology that enables you to compare various assets based on liquidity uptake from significant price levels.
By utilizing the SMT, you can analyze any asset , whether it’s a currency pair, stock, cryptocurrency, or other financial instruments. The dashboard helps you identify the strongest and weakest assets by analyzing their interactions with critical liquidity levels and identifying divergences , including those related to the Previous Month, Previous Week, Previous Day, and Asian Session Highs and Lows. By doing so, he identifies the most bullish symbol. It will therefore tend to rise more easily, or at least fall less, than the other one.
The SMT includes alert functionality that notifies you whenever a new SMT is created or has changed , allowing you to stay informed about which asset is currently the strongest. This means you can react promptly to market changes without constantly monitoring your charts.
Additionally, since the SMT relies on the Previous levels, it is influenced by the selected mode, whether based on traditional Previous levels or the True Day Range . This flexibility ensures that you are using the most relevant information available for your trading decisions. Asian High and Asian Low levels are also calculated according to the schedules configured in the Kill Zones section.
In summary, the Smart Money Tool displays the strongest and weakest assets based on liquidity uptake, providing you with clear information on which asset to prioritize, so you can maximize your potential profits. By incorporating this concept into your approach, you align your decisions with prevailing market dynamics, offering you unparalleled insights and features tailored to enhance your trading strategy.
This chart displays the Smart Money Tool (SMT) dashboard on the GBPUSD symbol, which compares the liquidity uptake for EURUSD and GBPUSD pairs. The indicator shows that both Previous Month's and Week's High and Low were taken for both pairs. However, the Asian High (AH) has been breached on GBPUSD but not on EURUSD, while the Asian Low (AL) has been taken by EURUSD. As a result, GBPUSD is identified as the stronger asset, indicating that traders should focus on buying opportunities with GBPUSD rather than EURUSD. This analysis helps traders prioritize the best symbol for their strategies based on the most relevant liquidity divergences.
✨ SETTINGS
Kill Zones: Customize the display options for the Asian (with lines), London, New York, and London Close Kill Zones. Configure timezone options, midlines, and color preferences.
Previous & Open Levels: Adjust how Previous High/Low levels, Open and separators are displayed. Select between Classic or True Day Range Mode based on your trading preferences.
SMT: Choose the correlated assets for the SMT comparison and select which liquidity (Monthly, Weekly, Daily, Asian) to use and display. Configure settings like liquidity sweeps and strongest pair emojis.
Alerts: Configure alerts for key events such as the Asian High/Low or Previous Levels liquidity sweep, and SMT divergences.
🎯 CONCLUSION
The Time and Price Zones indicator offers a practical and insightful approach to market analysis by combining major principles of ICT and Smart Money Concepts into a cohesive tool. It empowers traders to understand key price levels, liquidity dynamics, and institutional activity with ease. By helping traders avoid being the liquidity of the market and instead align with institutional flows, the indicator can significantly enhance performances. While its features provide a valuable edge, it’s essential to remember that none should be used on its own and many more factors go into being a profitable trader.
Trend Stability Index (TSI)Overview
The Trend Stability Index (TSI) is a technical analysis tool designed to evaluate the stability of a market trend by analyzing both price movements and trading volume. By combining these two crucial elements, the TSI provides traders with insights into the strength and reliability of ongoing trends, assisting in making informed trading decisions.
Key Features
• Dual Analysis: Integrates price changes and volume fluctuations to assess trend stability.
• Customizable Periods: Allows users to set evaluation periods for both trend and volume based on their trading preferences.
• Visual Indicators: Displays the Trend Stability Index as a line chart, highlights neutral zones, and uses background colors to indicate trend stability or instability.
Configuration Settings
1. Trend Length (trendLength)
• Description: Determines the number of periods over which the price stability is evaluated.
• Default Value: 15
• Usage: A longer trend length smooths out short-term volatility, providing a clearer picture of the overarching trend.
2. Volume Length (volumeLength)
• Description: Sets the number of periods over which trading volume changes are assessed.
• Default Value: 15
• Usage: Adjusting the volume length helps in capturing significant volume movements that may influence trend strength.
Calculation Methodology
The Trend Stability Index is calculated through a series of steps that analyze both price and volume changes:
1. Price Change Rate (priceChange)
• Calculation: Utilizes the Rate of Change (ROC) function on the closing prices over the specified trendLength.
• Purpose: Measures the percentage change in price over the trend evaluation period, indicating the direction and momentum of the price movement.
2. Volume Change Rate (volumeChange)
• Calculation: Applies the Rate of Change (ROC) function to the trading volume over the specified volumeLength.
• Purpose: Assesses the percentage change in trading volume, providing insight into the conviction behind price movements.
3. Trend Stability (trendStability)
• Calculation: Multiplies priceChange by volumeChange.
• Purpose: Combines price and volume changes to gauge the overall stability of the trend. A higher positive value suggests a strong and stable trend, while negative values may indicate trend weakness or reversal.
4. Trend Stability Index (TSI)
• Calculation: Applies a Simple Moving Average (SMA) to the trendStability over the trendLength period.
• Purpose: Smooths the trend stability data to create a more consistent and interpretable index.
Trend/Ranging Determination
• Stable Trend (isStable)
• Condition: When the TSI value is greater than 0.
• Interpretation: Indicates that the current trend is stable and likely to continue in its direction.
• Unstable Trend / Range-bound Market
• Condition: When the TSI value is less than or equal to 0.
• Interpretation: Suggests that the trend may be weakening, reversing, or that the market is moving sideways without a clear direction.
Visualization
The TSI indicator employs several visual elements to convey information effectively:
1. TSI Line
• Representation: Plotted as a blue line.
• Purpose: Displays the Trend Stability Index values over time, allowing traders to observe trend stability dynamics.
2. Neutral Horizontal Line
• Representation: A gray horizontal line at the 0 level.
• Purpose: Serves as a reference point to distinguish between stable and unstable trends.
3. Background Color
• Stable Trend: Green background with 80% transparency when isStable is true.
• Unstable Trend: Red background with 80% transparency when isStable is false.
• Purpose: Provides an immediate visual cue about the current trend’s stability, enhancing the interpretability of the indicator.
Usage Guidelines
• Identifying Trend Strength: Utilize the TSI to confirm the strength of existing trends. A consistently positive TSI suggests strong trend momentum, while a negative TSI may signal caution or a potential reversal.
• Volume Confirmation: The integration of volume changes helps in validating price movements. Significant price changes accompanied by corresponding volume shifts can reinforce the reliability of the trend.
• Entry and Exit Signals: Traders can use crossovers of the TSI with the neutral line (0 level) as potential entry or exit points. For instance, a crossover from below to above 0 may indicate a bullish trend initiation, while a crossover from above to below 0 could suggest bearish momentum.
• Combining with Other Indicators: To enhance trading strategies, consider using the TSI in conjunction with other technical indicators such as Moving Averages, RSI, or MACD for comprehensive market analysis.
Example Scenario
Imagine analyzing a stock with the following observations using the TSI:
• The TSI has been consistently above 0 for the past 30 periods, accompanied by increasing trading volume. This scenario indicates a strong and stable uptrend, suggesting that buying opportunities may be favorable.
• Conversely, if the TSI drops below 0 while the price remains relatively flat and volume decreases, it may imply that the current trend is losing momentum, and the market could be entering a consolidation phase or preparing for a trend reversal.
Conclusion
The Trend Stability Index is a valuable tool for traders seeking to assess the reliability and strength of market trends by integrating price and volume dynamics. Its customizable settings and clear visual indicators make it adaptable to various trading styles and market conditions. By incorporating the TSI into your trading analysis, you can enhance your ability to identify and act upon stable and profitable trends.
DI Oscillator with Adjustments by DSPDI Oscillator with Adjustments by DSP – High-Volatility Commodity Trading Tool 📈💥
Maximize Your Trading Efficiency in volatile commodity markets with the DI Oscillator with Adjustments by DSP. This unique indicator combines the classic +DI and -DI (Directional Indicators) with advanced adjustments that help you identify key trends and reversals in highly volatile conditions.
Whether you're trading commodities, forex, or stocks, this tool is engineered to help you navigate price fluctuations and make timely, informed decisions. Let this powerful tool guide you through turbulent market conditions with ease!
Key Features:
Dynamic Background Color Shifts 🌈:
Green Background: Signals a strong uptrend where +DI is clearly above -DI, and the trend is supported by clear separation between the two indicators.
Red Background: Signals a strong downtrend where -DI is above +DI, indicating bearish pressure.
Violet Background: Shows a neutral or consolidating market where the +DI and -DI lines are closely interwoven, giving you a clear picture of sideways movement.
Buy and Sell Labels 📊:
Buy Signal: Automatically triggers when the background changes to green, indicating a potential entry point during a bullish trend.
Sell Signal: Automatically triggers when the background shifts from purple to red, indicating a bearish trend reversal.
Labels are positioned away from the bars, ensuring your chart remains uncluttered and easy to read.
Enhanced Adjustments for Volatile Markets ⚡:
Custom adjustments based on consecutive green or red bars (excluding “sandwiched” bars) provide you with more nuanced signals, improving the accuracy of trend detection in volatile conditions.
Horizontal Line Reference 📏:
Set a custom horizontal level to mark significant price levels that may act as resistance or support, helping you identify key price points in volatile market swings.
Separation Threshold 🧮:
A custom separation threshold defines when the +DI and -DI lines are far enough apart to confirm a strong trend. This is crucial for commodity markets that experience rapid price changes and fluctuations.
Visual Clarity ✨:
Both +DI and -DI lines are plotted clearly in green and red, respectively, with a dedicated background color system that makes trend shifts visually intuitive.
Why This Indicator Works for Volatile Commodities 🌍📊:
Commodity markets are notorious for their volatility, with prices often experiencing rapid and unpredictable movements. This indicator gives you clear visual cues about trend strength and reversals, enabling you to act quickly and confidently.
By adjusting the +DI based on consecutive green and red bars, this tool adapts to the specific price action in high-volatility conditions, helping you stay ahead of the curve.
The background color system ensures that you can visually track market trends at a glance, making it easier to make split-second decisions without missing opportunities.
How to Use:
Add the Indicator: Simply add the DI Oscillator with Adjustments by DSP to your TradingView chart.
Watch for Background Color Shifts: Stay alert for the background color to shift from violet to green (for buy) or purple to red (for sell), signaling potential trade opportunities.
Set Alerts: Receive notifications when background color changes, providing you with real-time alerts to keep track of market movements.
Interpret the DI Lines: Use the +DI and -DI lines to gauge trend strength and adjust your strategy accordingly.
Who Can Benefit:
Day Traders: Take advantage of quick trend reversals and high volatility in commodities markets, such as gold, oil, or agricultural products.
Swing Traders: Identify key trend shifts over longer periods, making it easier to enter or exit trades during major price movements.
Risk Managers: Use this tool’s visual cues to better understand price fluctuations and adjust your position sizes according to market conditions.
💡 Unlock Your Potential with the DI Oscillator 💡
For traders in high-volatility commodity markets, this indicator is a game-changer. It simplifies the complexity of trend analysis and gives you the actionable insights you need to make fast, profitable decisions. Whether you're trading gold, oil, or other volatile commodities, the DI Oscillator with Adjustments by DSP can help you navigate market chaos and make better-informed trades.
Don’t miss out — enhance your trading strategy today with this powerful tool and stay ahead in any market environment!
DT-DB - waynebrogenzaThis Pine Script™ indicator, DT-DB by waynebrogenza, is designed to help traders identify potential Double Tops (DT) and Double Bottoms (DB) on a price chart. These formations are powerful signals in technical analysis, often indicating reversals or key turning points in the market. Here's how it works and why it could change your trading game:
What It Does:
Detects Reversal Patterns:
Double Tops (DT): These typically signal a bearish reversal, meaning the price might start dropping after forming this pattern.
Double Bottoms (DB): These usually indicate a bullish reversal, suggesting the price could rise after forming this pattern.
Automates Signal Detection:
You don’t need to manually spot these patterns; the script does it for you in real time.
It plots Buy and Sell signals directly on your chart, making it easy to act quickly.
Volume and RSI Filters:
Ensures patterns are confirmed using volume and RSI (Relative Strength Index) divergence for better reliability.
Filters out weak or unreliable signals.
Custom Alerts:
You can set alerts for Buy and Sell signals, so you’re notified whenever an opportunity arises.
Visual Representation:
Highlighted zones (boxes) on the chart help you see where the patterns are forming and how price action evolves.
How It Can Help You:
Clarity in Chaos: Eliminates guesswork and provides clear trading signals, reducing emotional decision-making.
Time-Saving: Automatically scans the market for patterns so you can focus on strategy, not searching.
Confidence Booster: Filters like volume and RSI divergence ensure you’re acting on more reliable signals.
Beginner-Friendly: Even if you're new to trading, this indicator gives straightforward Buy and Sell cues, making it easy to get started.
Why It’s Life-Changing:
Trading can be overwhelming, especially if you’re not sure where to begin. This tool simplifies the process by giving you a structured way to identify profitable opportunities. By focusing on proven chart patterns and integrating confirmation signals, it helps you make better-informed trades and potentially achieve more consistent results.
Use this indicator to gain confidence, save time, and take your trading skills to the next level. Whether you're trading stocks, forex, or crypto, this script could become your new trading companion!
Roman's Ranges(GOLD FUTURES)This indicator provides the user with Gold Future's previous day’s range and how long it took for the price to reach its first extreme for the day. This information is used to predict the most probable daily direction trend and estimate how long you should expect to hold your winning trade. The distance and time are based on the market open candle (6:30 am). It measures from the retracement wick of the candle to the last 5m close of the day’s first extreme low or high point. It also includes that distance in pts.
Previous market data does not guarantee future results, however, you can leverage the knowledge of the previous day’s ranges to set reasonable take profit levels and when your target is not met automatically, you know how long it took on the previous day to reach the day’s first low/high. If you are nearing that amount of time and your trade is not as profitable as expected, it is easier to get out with less profits using this estimated time rather than hoping the market closes in your favor.
Markets go through cycles and it can be difficult to trade them all if you have a fault expectation how how far the price is expected to move. Price tends to deviate slowly from the average ranges slightly day after day, but you can expect an average range to prevail throughout the week +/- 3 points. It can be very easy to be stuck on 5-point take-profit levels that you don’t pay attention to the average range being twice or three times that distance. The same can be said for the opposite scenario with having higher profit expectations than reasonably possible.
This indicator and my statements are not financial advice. This is meant for educational purposes only.
AI x Meme Impulse Tracker [QuantraSystems]AI x Meme Impulse Tracker
Quantra Systems guarantees that the information created and published within this document and on the Tradingview platform is fully compliant with applicable regulations, does not constitute investment advice, and is not exclusively intended for qualified investors.
Important Note!
The system equity curve presented here has been generated as part of the process of testing and verifying the methodology behind this script.
Crucially, it was developed after the system was conceptualized, designed, and created, which helps to mitigate the risk of overfitting to historical data. In other words, the system was built for robustness, not for simply optimizing past performance.
This ensures that the system is less likely to degrade in performance over time, compared to hyper-optimized systems that are tailored to past data. No tweaks or optimizations were made to this system post-backtest.
Even More Important Note!!
The nature of markets is that they change quickly and unpredictably. Past performance does not guarantee future results - this is a fundamental rule in trading and investing.
While this system is designed with broad, flexible conditions to adapt quickly to a range of market environments, it is essential to understand that no assumptions should be made about future returns based on historical data. Markets are inherently uncertain, and this system - like all trading systems - cannot predict future outcomes.
Introduction
The AI x Meme Impulse Tracker is a cutting-edge, fast-acting rotational algorithm designed to capitalize on the strength of assets within pre-selected categories. Using a custom function built on top of the RSI Pulsar, the system measures momentum through impulses rather than traditional trend following methods. This allows for swifter reallocations based on short bursts of strength.
This system focuses on precision and agility - making it highly adaptable in volatile markets. The strategy is built around three independent asset categories - with allocations only made to the strongest asset in each - ensuring that capital movement (in particular between blockchains) is kept to a minimum for efficiency purposes while maintaining exposure to the highest performing tokens.
Legend
Token Inputs:
The Impulse Tracker is designed with dynamic asset selection - allowing traders to customize the inputs for each category. This feature enables flexible system management, as the number of active tokens within each category can be adjusted at any time. Whether the user chooses the default of 13 tokens per category, or fewer, the system will automatically recalibrate. This ensures that all calculations, from relative strength to individual performance assessments, adjust as required. Disabled tokens are treated by the system as if they don’t exist - seamlessly updating performance metrics and the Impulse Tracker’s allocation behavior to maintain the highest level of efficiency and accuracy.
System Equity Curve:
The Impulse Tracker plots both the rotational system’s equity and the Buy-and-Hold (or ‘HODL’) benchmark of Bitcoin for comparison. While the HODL approach allocates the entire portfolio to Bitcoin and functions as an index to compare to, the Impulse Tracker dynamically allocates based on strength impulses within the chosen tokens and categories. The system equity curve is representative of adding an equal capital split between the strongest assets of each category. The relative strength system does handle ‘ties’ of strength - in this situation multiple tokens from a single category can be included in the final equity curve, with the allocated weight to that category split between the tied assets.
TABLES:
Equity Stats:
This table is held in Quantra System's typical UI design language. It offers a comprehensive snapshot of the system’s performance, with key metrics organized to help traders quickly assess both short-term and cumulative results. The left side provides details on individual asset performance, while the right side presents a comparison of the system’s risk-adjusted metrics against a simple BTC Hodl strategy.
The leftmost column of the Equity Stats table showcases performance indicators for the system’s current allocations. This provides quick identification of the current strongest tokens, based on confirmed and non-repainting data as soon as the current opens and the last bar closes.
The right-hand side compares the performance differences between the system and Hodl profits, both on a cumulative basis and analyzing only the previous bar. The total number of position changes is also tracked in this table - an important metric when calculating total slippage and should be used to determine how ‘hands-on’ the strategy will be on the current timeframe.
The lower part of the table highlights a direct comparison of the AI x Memes Impulse strategy with buy-and-hold Bitcoin. The risk adjusted performance ratios, Sharpe, Sortino and Omega, are shown side by side, as well as the maximum drawdown experienced by both strategies within the set testing window.
Screener Table:
This table provides a detailed breakdown of the performance for each asset that has been the strongest in its category at some point and thus received an allocation. The table tracks several key metrics for each asset - including returns, volatility, Sharpe ratio, Sortino ratio, Omega ratio, and maximum drawdown. It also displays the signals for both current and previous periods, as well as the assets weight in the theoretical portfolio. Assets that have never received a signal are also included, giving traders an overview of which assets have contributed to the portfolio's performance and which have not played a role so far.
The position changes cell also offers important insights, as it shows the frequency of not just total position changes, but also rebalancing events.
Detailed Slippage Table:
The Detailed Slippage Table provides a comprehensive breakdown of the calculated slippage and fees incurred throughout the strategy’s operations. It contains several key metrics that give traders a granular view of the costs associated with executing the system:
Selected Slippage - Displays the current slippage rate, as defined in the input menu.
Removal Slippage - This accounts for any slippage or fees incurred when removing an allocation from a token.
Reallocation Slippage - Tracks the slippage or fees when reallocating capital to existing positions.
Addition Slippage - Measures the slippage or fees incurred when allocating capital to new tokens.
Final Slippage - Is the sum of all the individual slippage points and provides a quick view of the total slippage accounted for by the system.
The table is also divided into two columns:
Last Transaction Slippage + Fees - Displays any slippage or fees incurred based on position changes within the current bar.
Total Slippage + Fees - Shows the cumulative slippage and fees incurred since the portfolio’s selected start date.
Visual Customization:
Several customizable features are included within the input menu to enhance user experience. These include custom color palettes, both preloaded and user-selectable. This allows traders to personalize the visual appearance of the tables, ensuring clarity and consistency with their preferred interface themes and background coloring.
Additionally, users can adjust both the position and sizes of all the tables - enabling complete tailoring to the trader’s layout and specific viewing preferences and screen configurations. This level of customization ensures a more intuitive and flexible interaction with the system’s data.
Core Features and Methodologies
Advanced Risk Management - A Unique Filtering Approach:
The Equity Curve Activation Filter introduces an innovative way to dynamically manage capital allocation, aligning with periods of market trend strength. This filter is rooted in the understanding that markets move cyclically - altering between periods trending and mean-reverting periods. This cycle is especially pronounced in the crypto markets, where strong uptrends are often followed by prolonged periods of sideways movements or corrections as participants take profits and momentum fades.
The Cyclical Nature of Markets and Trend Following:
Financial markets do not trend indefinitely. Each uptrend or downtrend, whether over high and low timeframes, tends to culminate in a phase where momentum exhausts - leading to the sideways or corrective phases. This cycle results from the natural dynamics of market participants: during extended trends, more participants jump in, riding the momentum until profit taking causes the trend to slow down or reverse. This cyclical behavior occurs across all timeframes and in all markets - making it essential to adapt trading strategies in attempt to minimize losses during less favorable conditions.
In a trend following system, profitability often mirrors this cyclical pattern. Trend following strategies thrive when markets are moving directionally, capturing gains as price moves with strength in a single direction. However in phases where the market chops sideways, trend following strategies will usually experience drawdowns and reduced returns due to the impersistent nature of any trends. This fluctuation in trend following profitability can actually serve as one of the best coincident indicators of broader market regime change - when profitability begins to fade, it often signals a transition to drawn out unfavorable trend trading conditions.
The Equity Curve as a Market Signal
Within the Impulse Tracker, a continuous equity curve is calculated based upon the system's allocation to the strongest tokens. This equity curve effectively tracks the system’s performance under all market conditions. However, instead of solely relying on the direct performance of the selected tokens, the system applies additional filters to analyze the trend strength of this equity curve itself.
In the same way you only want to purchase an asset that is moving up in price, you only want to allocate capital to a strategy whose equity curve is trending upwards!
The Equity Curve Activation Filter consistently monitors the trend of this equity curve through various filter indicators, such as the “Wave Pendulum Trend”, the “Quasar QSM” and the “MAQSM” (an aggregate of multiple types of averages). These filters help determine whether the equity curve is trending upwards, signaling a favorable period for trend following. When the equity curve is in a positive trend, capital is allocated to the system as normal - allowing it to capture gains during favorable market conditions, Conversely, when the trend weakens and the equity curves begins to stagnate or decline, the activation filter shifts the system into a “cash” positions - temporarily halting allocations in order to prevent market exposure during choppy or mean reverting phases.
Timing Allocation With Market Conditions
This unique filtering approach ensures that the system is primarily active during periods when market trends are most supportive. By aligning capital allocations with the uptrend in trend following profitability, the system is designed to enter during periods of strong momentum and move to cash when momentum with the equity curve wanes. This approach reduces the risk of overtrading in less favorable conditions and preserves capital for the next favorable trend.
In essence the Equity Curve Allocation Filter serves as a dynamic risk management layer that leverages the cyclicality of trend following profitability in order to navigate shifting market phases.
Sensitivity and Signal Responsiveness:
The Quasar Sensitivity Setting allows users to fine-tune the system’s responsiveness to asset signals. High sensitivity settings lead to quicker position changes, making the system highly reactive to short term strength impulses. This is especially useful in fast moving markets where token strength can shift rapidly. The Sensitive setting might be more applicable to higher volatility or lower market cap assets - as the increased volatility increases the necessity of faster position cutting in order to front run the crowd. Of course - a balanced approach is ideal, as if the signals are too fast there will be too many whips and false signals. (And extra fees + slippage!)
The benefit of this script is because of the advanced slippage calculations, false signals are sufficiently punished (unlike systems without fees or slippage) - so it will become immediately apparent if the false signals have a significantly detrimental impact on the system’s equity curve.
Asset specific signals within each category are re-evaluated after the close of each bar to ensure that capital is always allocated to the highest performing asset. If a token’s momentum begins to fade the system swiftly reallocates to the next strongest asset within that category.
Category Filter - Allocates only to the Strongest Asset per group
One of the core innovations of the AI x Meme Impulse Tracker is the customizable Category Filter, which ensures that only the strongest-performing asset within each predefined group receives capital allocation. This approach not only increases the precision of asset selection but also allows traders to tailor the system to specific token narratives or categories. Sectors can include trending themes such as high-attention meme tokens, AI-driven tokens, or even categorize assets by blockchain ecosystems like Ethereum, Solana, or Base chain. This flexibility enables users to align their strategies with the latest market narratives or to optimize for specific groups, focusing on high-beta tokens within well defined sectors for a more targeted exposure. By keeping the focus on category leaders, the system avoids diluting its impact across underperforming assets, thereby maximizing capital efficiency and reducing unnecessary trading costs.
Dynamic Asset Reallocation:
Dynamic reallocation ensures that the system remains nimble and adapts to changing market conditions. Unlike slower systems, the Quasar method continually monitors for changes in asset strength and reallocates capital accordingly - ensuring that the system is always positioned in the highest performing assets within each category.
Position Changes and Slippage:
The Impulse Tracker places a strong emphasis on realistic simulation, prioritizing accuracy over inflated backtest results. This approach ensures that slippage is accounted for in a more aggressive manner than what may be experienced in real-world execution.
Each position change within the system - whether it’s buying, selling, reallocating, or rebalancing between assets - incurs slippage. Slippage is applied to both ends of every transaction: when a position is entered and exited, and when reallocating capital from one token to another. This dynamic behavior is further enhanced by a customizable slippage/fees input, allowing users to simulate realistic transaction costs based on their own market conditions and execution behaviors.
The slippage model works by applying a weighted slippage to the equity curve, taking into account the actual amount of capital being moved. Slippage is not applied in a blanket manner but rather in proportion to the allocation changes. For example, if the system reallocates from a single 100% position to two 50% allocations, slippage will be applied to the 50% removed from the first asset and the 50% added to the new asset, resulting in a 1x slippage multiplier.
This process becomes more granular when multiple assets are involved. For instance, if reallocating from two 50% positions to three 33% positions, slippage will be incurred on each of the changes, but at a reduced rate (⅔ x slippage), reflecting the smaller percentage of portfolio equity being moved. The slippage model accounts for all types of allocation shifts, whether increasing or decreasing the number of tokens held, providing a realistic assessment of system costs.
Here are some detailed examples to illustrate how slippage is calculated based on different scenarios:
100% → 50% / 50%: 1x slippage applied to both position changes (2 allocation changes).
50% / 50% → 33% / 33% / 33%: ⅔ x slippage multiplier applied across 3 allocation changes.
33% / 33% / 33% → 100%: 4/3 x slippage multiplier applied across 3 allocation changes.
In practice, not every position change will be rebalanced perfectly, leading to a lower number of transactions and lower costs in practice. Additionally, with the use of limit orders, a trader can easily reduce the costs of entering a position, as well as ensuring a competitive entry price.
By simulating slippage in this granular manner, the system captures the absolute maximum level of fees and slippage, in order to ensure that backtest results lean towards an underrepresentation - opposed to inflated results compared with practical execution.
A Special Note on Slippage
In the image above, the system has been applied to four different timeframes - 20h, 15h, 10h, and 5h - using identical settings and a selected slippage amount of 2%. By isolating a recent trend leg, we can illustrate an important concept: while the 15h timeframe is more profitable than the 20h timeframe, this difference stems from a core trading principle. Lower timeframes typically provide more data points and allow for quicker entries and exits in a robust system. This often results in reduced downside and compounding of gains.
However, slippage, fees, and execution constraints are limiting factors, especially in volatile, low-cap cryptocurrencies. Although lower timeframes can improve performance by increasing trade frequency, each trade incurs heavy slippage costs that accumulate - impacting the portfolio’s capital at a compounding rate. In this example, the chosen slippage rate of 2% per trade is designed to reflect the realistic trading costs, emphasizing how lower timeframe trading comes at the cost of increased slippage and fees
Finding the optimal balance between timeframe and slippage impact requires careful consideration of factors such as portfolio size, liquidity of selected tokens, execution speed, and the fee rate of the exchange you execute trades on.
Equity Curve and Performance Calculations
To provide a benchmark, the script also generates a Buy-and-Hold (or "HODL") equity curve that represents a complete allocation to Bitcoin. This allows users to easily compare the performance of the dynamic rotation system with that more traditional benchmark strategy.
The script tracks key performance metrics for both the dynamic portfolio and the HODL strategy, including:
Sharpe Ratio
The Sharpe Ratio is a key metric that evaluates a portfolio’s risk-adjusted return by comparing its ‘excess’ return to its volatility. Traditionally, the Sharpe Ratio measures returns relative to a risk-free rate. However, in our system’s calculation, we omit the risk-free rate and instead measure returns above a benchmark of 0%. This adjustment provides a more universal comparison, especially in the context of highly volatile assets like cryptocurrencies, where a traditional risk-free benchmark, such as the usual 3-month T-bills, is often irrelevant or too distant from the realities of the crypto market.
By using 0% as the baseline, we focus purely on the strategy's ability to generate raw returns in the face of market risk, which makes it easier to compare performance across different strategies or asset classes. In an environment like cryptocurrency, where volatility can be extreme, the importance of relative return against a highly volatile backdrop outweighs comparisons to a risk-free rate that bears little resemblance to the risk profile of digital assets.
Sortino Ratio
The Sortino Ratio improves upon the Sharpe Ratio by specifically targeting downside risk and leaves the upside potential untouched. In contrast to the Sharpe Ratio (which penalizes both upside and downside volatility), the Sortino Ratio focuses only on negative return deviations. This makes it a more suitable metric for evaluating strategies like the AI x Meme Impulse Tracker - that aim to minimize drawdowns without restricting upside capture. By measuring returns relative to a 0% baseline, the Sortino ratio provides a clearer assessment of how well the system generates gains while avoiding substantial losses in highly volatile markets like crypto.
Omega Ratio
The Omega Ratio is calculated as the ratio of gains to losses across all return thresholds, providing a more complete view of how the system balances upside and downside risk even compared to the Sortino Ratio. While it achieves a similar outcome to the Sortino Ratio by emphasizing the system's ability to capture gains while limiting losses, it is technically a mathematically superior method. However, we include both the Omega and Sortino ratios in our metric table, as the Sortino Ratio remains more widely recognized and commonly understood by traders and investors of all levels.
Usage Summary:
While the backtests in this description are generated as if a trader held a portfolio of just the strongest tokens, this was mainly designed as a method of logical verification and not a recommended investment strategy. In practice, this system can be used in multiple ways.
It can be used as above, or as a factor in forming part of a broader asset selection system, or even a method of filtering tokens by strength in order to inform a day trader which tokens might be optimal to look for long-only trading setups on an intrabar timeframe.
Final Summary:
The AI x Meme Impulse Tracker is a powerful algorithm that leverages a unique strength and impulse based approach to asset allocation within high beta token categories. Built with a robust risk management framework, the system’s Equity Curve Activation Filter dynamically manages capital exposure based on the cyclical nature of market trends, minimizing exposure during weaker phases.
With highly customizable settings, the Impulse Tracker enables precise capital allocation to only the strongest assets, informed by real-time metrics and rigorous slippage modeling in order to provide the best view of historical profitability. This adaptable design, coupled with advanced performance analytics, makes it a versatile tool for traders seeking an edge in fast moving and volatile crypto markets.
Cross-Asset Correlation Trend IndicatorCross-Asset Correlation Trend Indicator
This indicator uses correlations between the charted asset and ten others to calculate an overall trend prediction. Each ticker is configurable, and by analyzing the trend of each asset, the indicator predicts an average trend for the main asset on the chart. The strength of each asset's trend is weighted by its correlation to the charted asset, resulting in a single average trend signal. This can be a rather robust and effective signal, though it is often slow.
Functionality Overview :
The Cross-Asset Correlation Trend Indicator calculates the average trend of a charted asset based on the correlation and trend of up to ten other assets. Each asset is assigned a trend signal using a simple EMA crossover method (two customizable EMAs). If the shorter EMA crosses above the longer one, the asset trend is marked as positive; if it crosses below, the trend is negative. Each trend is then weighted by the correlation coefficient between that asset’s closing price and the charted asset’s closing price. The final output is an average weighted trend signal, which combines each trend with its respective correlation weight.
Input Parameters :
EMA 1 Length : Sets the period of the shorter EMA used to determine trends.
EMA 2 Length : Sets the period of the longer EMA used to determine trends.
Correlation Length : Defines the lookback period used for calculating the correlation between the charted asset and each of the other selected assets.
Asset Tickers : Each of the ten tickers is configurable, allowing you to set specific assets to analyze correlations with the charted asset.
Show Trend Table : Toggle to show or hide a table with each asset’s weighted trend. The table displays green, red, or white text for each weighted trend, indicating positive, negative, or neutral trends, respectively.
Table Position : Choose the position of the trend table on the chart.
Recommended Use :
As always, it’s essential to backtest the indicator thoroughly on your chosen asset and timeframe to ensure it aligns with your strategy. Feel free to modify the input parameters as needed—while the defaults work well for me, they may need adjustment to better suit your assets, timeframes, and trading style.
As always, I wish you the best of luck and immense fortune as you develop your systems. May this indicator help you make well-informed, profitable decisions!
Bullrun Profit Maximizer [QuantraSystems]Bullrun Profit Maximizer
Quantra Systems guarantees that the information created and published within this document and on the Tradingview platform is fully compliant with applicable regulations, does not constitute investment advice, and is not exclusively intended for qualified investors.
Important Note!
The system equity curve presented here has been generated as part of the process of testing and verifying the methodology behind this script.
Crucially, it was developed after the system was conceptualized, designed, and created, which helps to mitigate the risk of overfitting to historical data. In other words, the system was built for robustness, not for simply optimizing past performance.
This ensures that the system is less likely to degrade in performance over time, compared to hyper optimized systems that are tailored to past data. No tweaks or optimizations were made to this system post backtest.
Even More Important Note!!
The nature of markets is that they change quickly and unpredictably. Past performance does not guarantee future results - this is a fundamental rule in trading and investing.
While this system is designed with broad, flexible conditions to adapt quickly to a range of market environments, it is essential to understand that no assumptions should be made about future returns based on historical data. Markets are inherently uncertain, and this system - like all trading systems - cannot predict future outcomes.
Introduction
The "Adaptive Pairwise Momentum System" is not a prototype to the Bullrun Profit Maximizer (BPM) . The Bullrun Profit Maximizer is a fully re-engineered, higher frequency momentum system.
The Bullrun Profit Maximizer (BPM) uses a completely different filter logic and refines momentum calculations, specifically to support higher frequency trading on Crypto's Blue Chip assets. It correctly calculates fees and slippage by compounding them against System Profit before plotting the equity curve.
Unlike prior systems, this script utilizes a completely new filter logic and refined momentum calculation, specifically built to support higher frequency trading on blue-chip assets, while minimizing the impact of fees and slippage.
While the APMS focuses on Macro Trend Alignment, the BPM instead applies an equity curve based filter, allowing for targeted precision on the current asset’s trend without relying on broader market conditions. This approach delivers more responsive and asset specific signals, enhancing agility in today’s fast paced crypto markets.
The BPM dynamically optimizes capital allocation across up to four high performing assets, ensuring that the portfolio adapts swiftly to changing market conditions. The system logic consists of sophisticated quantitative methods, rapid momentum analysis and alpha cyclicality/seasonality optimizations. The overarching goal is to ensure that the portfolio is always invested in the highest performing asset based on dynamic market conditions, while at the same time managing risk through rapid asset filters and internal mechanisms like alpha cyclicality, volatility and beta analysis.
In addition to these core functionalities, the BPM comes with the typical Quantra Systems UI design, structured to reduce data clutter and provide users with only the most essential, impactful information. The BPM UI format delivers clear and easy to read signals. It enables rapid decision making in a high frequency environment without compromising on depth or accuracy.
Bespoke Logic Filtering with Equity Curve Precision
The BPM script utilizes a completely new methodology and focuses on intraday rotations of blue-chip crypto assets, while previously built systems were designed with a longer term focus in mind.
In response to the need for more precise signal generation, the BPM replaces the previous macro trend filter with a new, highly specific equity curve activation filter. This unique logic filter is driven solely by the performance trends of the asset currently held by the system. By analyzing the equity curve directly, this system can make more targeted, timely allocations based on asset specific momentum, allowing for quick adjustments that are more relevant to the held asset rather than general market conditions.
The benefits of this new, unique approach are twofold: first, it avoids premature allocation shifts based on broader macro movements, and second, it enables the system to adapt dynamically to the performance of each asset individually. This asset specific filtering allows traders to capitalize on localized strength within individual blue-chip cryptoassets without being affected by lags in the overall market trend.
High Frequency Momentum Calculation for Enhanced Flexibility
The BPM incorporates a newly designed momentum calculation that increases its suitability across lower timeframes. This new momentum indicator captures and processes more data points within a shorter window than ever before, rather than extending bar intervals and potentially losing high frequency detail. This creates a smooth, data rich featureset that is especially suited for blue-chip assets, where liquidity reduces slippage and fees, making higher frequency trading viable.
By retaining more data, this system captures subtle shifts in momentum more effectively than traditional approaches, offering higher resolution insights. These modifications result in a system capable of generating highly responsive signals on faster timeframes, empowering traders to act quickly in volatile markets.
User Interface and Enhanced Readability
The BPM also features a reimagined, streamlined user interface, making it easier than ever to monitor essential signals at a glance. The new layout minimizes extraneous data points in the tables, leaving only the most actionable information for traders. This cleaner presentation is purpose built to help traders identify the strongest asset in real time, with clear, color coded signals to facilitate swift decision making in fast moving markets.
Equity Stats Table : Designed for clarity, the stats table focuses on the current allocation’s performance metrics, emphasizing the most critical metrics without unnecessary clutter.
Color Coded Highlights : The interface includes the option to highlight both the current top performing asset, and historical allocations - with indicators of momentum shifts and performance metrics readily accessible.
Clear Signals : Visual cues are presented in an enhanced way to improve readability, including simplified line coloring, and improve visualization of the outperforming assets in the allocation table.
Dynamic Asset Reallocation
The BPM dynamically allocates capital to the strongest performing asset in a selected pool. This system incorporates a re-engineered, pairwise momentum measurement designed to operate at higher frequencies. The system evaluates each asset against others in real time, ensuring only the highest momentum asset receives allocation. This approach keeps the portfolio positioned for maximum efficiency, with an updated weighting logic that favors assets showing both strength and sustainability.
Position Changes and Slippage Calculation
Position changes are optimized for faster reallocation, with realistic slippage and fee calculations factored into each trade. The system’s structure minimizes the impact of these costs on blue-chip assets, allowing for more active management on short timeframes without incurring significant drag on performance.
A Special Note on Fees + Slippage
In the image above, the system has been applied to four different timeframes - 12h, 8h, 4h and 1h - using identical settings and a selected slippage and fees amount of 0.2%. In this stress test, we isolate the choppy downwards period from the previous Bitcoin all time high - set in March 2024, to the current date where Bitcoin is currently sitting at around the same level.
This illustrates an important concept: starting at the 12h, the system performed better as the timeframes decreased. In fact, only on the 4hr chart did the system equity curve make a new all time high alongside Bitcoin. It is worth noting that market phases that are “non-trending” are generally the least profitable periods to use a momentum/trend system - as most systems will get caught by false momentum and will “buy the top,” and then proceed to “sell the bottom.”
Lower timeframes typically offer more data points for the algorithm to compute over, and enable quicker entries and exits within a robust system, often reducing downside risk and compounding gains more effectively - in all market environments.
However, slippage, fees, and execution constraints are still limiting factors. Although blue-chip cryptocurrencies are more liquid and can be traded with lower fees compared to low cap assets, frequent trading on lower timeframes incurs cumulative slippage costs. With the BPM system set to a realistic slippage rate of 0.2% per trade, this example emphasizes how even lower fees impact performance as trade frequency increases.
Finding the optimal balance between timeframe and slippage impact requires careful consideration of factors such as portfolio size, liquidity of selected tokens, execution speed, and the fee rate of the exchange you execute trades on.
Number of Position Changes
Understanding the number of position changes in a strategy is critical to assessing its feasibility in real world trading. Frequent position changes can lead to increased costs due to slippage and fees. Monitoring the number of position changes provides insight into the system’s behavior - helping to evaluate how active the strategy is and whether it aligns with the trader's desired time input for position management.
Equity Curve and Performance Calculations
To provide a benchmark, the script also generates a Buy-and-Hold (or "HODL") equity curve that represents a 100% allocation to Bitcoin, the highest market cap cryptoasset. This allows users to easily compare the performance of the dynamic rotation system with that of a more traditional investment strategy.
The script tracks key performance metrics for both the dynamic portfolio and the HODL strategy, including:
Sharpe Ratio
The Sharpe Ratio is a key metric that evaluates a portfolio’s risk adjusted return by comparing its ‘excess’ return to its volatility. Traditionally, the Sharpe Ratio measures returns relative to a risk-free rate. However, in our system’s calculation, we omit the risk-free rate and instead measure returns above a benchmark of 0%. This adjustment provides a more universal comparison, especially in the context of highly volatile assets like cryptocurrencies, where a traditional risk-free benchmark, such as the usual 3-month T-bills, is often irrelevant or too distant from the realities of the crypto market.
By using 0% as the baseline, we focus purely on the strategy's ability to generate raw returns in the face of market risk, which makes it easier to compare performance across different strategies or asset classes. In an environment like cryptocurrency, where volatility can be extreme, the importance of relative return against a highly volatile backdrop outweighs comparisons to a risk-free rate that bears little resemblance to the risk profile of digital assets.
Sortino Ratio
The Sortino Ratio improves upon the Sharpe Ratio by specifically targeting downside risk and leaves the upside potential untouched. In contrast to the Sharpe Ratio (which penalizes both upside and downside volatility), the Sortino Ratio focuses only on negative return deviations. This makes it a more suitable metric for evaluating strategies like the Bullrun Profit Maximizer - that aim to minimize drawdowns without restricting upside capture. By measuring returns relative to a 0% baseline, the Sortino ratio provides a clearer assessment of how well the system generates gains while avoiding substantial losses in highly volatile markets like crypto.
Omega Ratio
The Omega Ratio is calculated as the ratio of gains to losses across all return thresholds, providing a more complete view of how the system balances upside and downside risk even compared to the Sortino Ratio. While it achieves a similar outcome to the Sortino Ratio by emphasizing the system's ability to capture gains while limiting losses, it is technically a mathematically superior method. However, we include both the Omega and Sortino ratios in our metric table, as the Sortino Ratio remains more widely recognized and commonly understood by traders and investors of all levels.
Usage Summary:
While the backtests in this description are generated as if a trader held a portfolio of just the strongest tokens, this was mainly designed as a method of logical verification and not a recommended investment strategy. In practice, this system can be used in multiple ways.
It can be used as above, or as a factor in forming part of a broader asset selection tool, or even a method of filtering tokens by strength in order to inform a day trader which tokens might be optimal to look at, for long-only trading setups on an intrabar timeframe.
Summary
The Bullrun Profit Maximizer is an advanced tool tailored for traders, offering the precision and agility required in today’s markets. With its asset specific equity curve filter, reworked momentum analysis, and streamlined user interface, this system is engineered to maximize gains and minimize risk during bullmarkets, with a strong focus on risk adjusted performance.
Its refined approach, focused on high resolution data processing and adaptive reallocation, makes it a powerful choice for traders looking to capture high quality trends on clue-chip assets, no matter the market’s pace.
Trend Titan Neutronstar [QuantraSystems]Trend Titan NEUTRONSTAR
Credits
The Trend Titan NEUTRONSTAR is a comprehensive aggregation of nearly 100 unique indicators and custom combinations, primarily developed from unique and public domain code.
We'd like to thank our TradingView community members: @IkKeOmar for allowing us to add his well-built "Normalized KAMA Oscillator" and "Adaptive Trend Lines " indicators to the aggregation, as well as @DojiEmoji for his valuable "Drift Study (Inspired by Monte Carlo Simulations with BM)".
Introduction
The Trend Titan NEUTRONSTAR is a robust trend following algorithm meticulously crafted to meet the demands of crypto investors. Designed with a multi layered aggregation approach, NEUTRONSTAR excels in navigating the unique volatility and rapid shifts of the cryptocurrency market. By stacking and refining a variety of carefully selected indicators, it combines their individual strengths while reducing the impact of noise or false signals. This "aggregation of aggregators" approach enables NEUTRONSTAR to produce a consistently reliable trend signal across assets and timeframes, making it an exceptional tool for investors focused on medium to long term market positioning.
NEUTRONSTAR ’s powerful trend following capabilities provide investors with straightforward, data driven analysis. It signals when tokens exhibit sustained upward momentum and systematically removes allocations from assets showing signs of weakness. This structure aids investors in recognizing peak market phases. In fact, one of NEUTRONSTAR ’s most valuable applications is its potential to help investors time exits near the peak of bull markets. This aims to maximize gains while mitigating exposure to downturns.
Ultimately, NEUTRONSTAR equips investors with a high precision, adaptable framework for strategic decision making. It offers robust support to identify strong trends, manage risk, and navigate the dynamic crypto market landscape.
With over a year of rigorous forward testing and live trading, NEUTRONSTAR demonstrates remarkable robustness and effectiveness, maintaining its performance without succumbing to overfitting. The system has been purposefully designed to avoid unnecessary optimization to past data, ensuring it can adapt as market conditions evolve. By focusing on aggregating valuable trend signals rather than tuning to historical performance, the NEUTRONSTAR serves as a reliable universal trend following system that aligns with the natural market cycles of growth and correction.
Core Methodology
The foundation of the NEUTRONSTAR lies in its multi aggregated structure, where five custom developed trend models are combined to capture the dominant market direction. Each of these aggregates has been carefully crafted with a specific trend signaling period in mind, allowing it to adapt seamlessly across various timeframes and asset classes. Here’s a breakdown of the key components:
FLARE - The original Quantra Signaling Matrix (QSM) model, best suited for timeframes above 12 hours. It forms the foundation of long term trend detection, providing stable signals.
FLAREV2 - A refined and more sophisticated model that performs well across both high and low timeframes, adding a layer of adaptability to the system.
NEBULA - An advanced model combining FLARE and FLAREV2. NEBULA brings the advantages of both components together, enhancing reliability and capturing smoother, more accurate trends.
SPARK - A high speed trend aggregator based on the QSM Universal model. It focuses on fast moving trends, providing early signals of potential shifts.
SUNBURST - A balanced aggregate that combines elements of SPARK and FLARE, confirming SPARK’s signals while minimizing false positives.
Each of these models contributes its own unique perspective on market movement. By layering fast, medium, and slower trend following signals, NEUTRONSTAR can confirm strong trends while filtering out shorter term noise. The result is a comprehensive tool that signals clear market direction with minimized false signals.
A Unique Approach to Trend Aggregation
One of the defining characteristics of NEUTRONSTAR is its deliberate choice to avoid perfectly time coherent indicators within its aggregation. In simpler terms, NEUTRONSTAR purposefully incorporates trend following indicators with slightly different signal periods, rather than synchronizing all components to a single signaling period. This choice brings significant benefits in terms of diversification, adaptability, and robustness of the overall trend signal.
When aggregating multiple trend following components, if all indicators were perfectly time coherent - meaning they responded to market changes in exactly the same way and over the time periods - the resulting signal would effectively be no different from a single trend following indicator. This uniformity would limit the system’s ability to capture a variety of market conditions, leaving it vulnerable to the same noise or false signals that any single indicator might encounter. Instead, NEUTRONSTAR leverages a balanced mix of indicators with varied timing: some fast, some slower, and some in the medium range. This choice allows the system to extract the unique strengths of each component, creating a combined signal that is stronger and more reliable than any single indicator.
By incorporating different signal periods, NEUTRONSTAR achieves what can be thought of as a form of edge accumulation. The fast components within NEUTRONSTAR , for example, are highly sensitive to quick shifts in market direction. These indicators excel at identifying early trend signals, enabling NEUTRONSTAR to react swiftly to emerging momentum. However, these fast indicators alone would be prone to reacting to market noise, potentially generating too many premature signals. This is where the medium term indicators come into play. These components operate with a slower reaction time, filtering out the short term fluctuations and confirming the direction of the trend established by the faster indicators. The combination of these varying signal speeds results in a balanced, adaptive response to market changes.
This approach also allows NEUTRONSTAR to adapt to different market regimes seamlessly. In fast moving, volatile markets, the faster indicators provide an early alert to potential trend shifts, while the slower components offer a stabilizing influence, preventing overreaction to temporary noise. Conversely, in steadier or trending markets, the medium and slower indicators sustain the trend signal, reducing the likelihood of premature exits. This flexible design enhances NEUTRONSTAR ’s ability to operate effectively across multiple asset classes and timeframes, from short term fluctuations to longer term market cycles.
The result is a powerful, multi-layered trend following tool that remains adaptive, capturing the benefits of both fast and medium paced reactions without becoming overly sensitive to short term noise. This unique aggregation methodology also supports NEUTRONSTAR ’s robustness, reducing the risk of overfitting to historical data and ensuring that the system can perform reliably in forward testing and live trading environments. The slightly staggered signal periods provide a greater degree of resilience, making NEUTRONSTAR a dependable choice for traders looking to capitalize on sustained trends while minimizing exposure during periods of market uncertainty.
In summary, the lack of perfect time coherence among NEUTRONSTAR ’s sub components is not a flaw - but a deliberate, robust design choice.
Risk Management through Market Mode Analysis
An essential part of NEUTRONSTAR is its ability to assess the market's underlying behavior and adapt accordingly. It employs a Market Mode Analysis mechanism that identifies when the market is either in a “Trending State” or a “Mean Reverting State.” When enough confidence is established that the market is trending, the system confirms and signals a “Trending State,” which is optimal for maintaining positions in the direction of the trend. Conversely, if there’s insufficient confidence, it labels the market as “Mean Reverting,” alerting traders to potentially avoid trend trades during likely sideways movement.
This distinction is particularly valuable in crypto, where asset prices often oscillate between aggressive trends and consolidation periods. The Market Mode Analysis keeps traders aligned with the broader market conditions, minimizing exposure during periods of potential whipsaws and maximizing gains during sustained trends.
Zero Overfitting: Design and Testing for Real World Resilience
Unlike many trend following indicators that rely heavily on backtesting and optimization, NEUTRONSTAR was built to perform well in forward testing and live trading without post design adjustments. Over a year of live market exposure has all but proven its robustness, with the system’s methodology focused on universal applicability and simplicity rather than curve fitting to past data. This approach ensures the aggregator remains effective across different market cycles and maintains relevance as new data unfolds.
By avoiding overfitting, NEUTRONSTAR is inherently more resistant to the common issue of strategy degradation over time, making it a valuable tool for traders seeking reliable market analysis you can trust for the long term.
Settings and Customization Options
To accommodate a range of trading styles and market conditions, NEUTRONSTAR includes adjustable settings that allow for fine tuning sensitivity and signal generation:
Calculation Method - Users can choose between calculating the NEUTRONSTAR score based on aggregated scores or by using the state of individual aggregates (long, neutral, short). The score method provides faster signals with slightly more noise, while the state based approach offers a smoother signal.
Sensitivity Threshold - This setting adjusts the system’s sensitivity, defining the width of the neutral zone. Higher thresholds reduce sensitivity, allowing for a broader range of volatility before triggering a trend reversal.
Market Regime Sensitivity - A sensitivity adjustment, ranging from 0 to 100, that affects the sensitivity of the sub components in market regime calculation.
These settings offer flexibility for users to tailor NEUTRONSTAR to their specific needs, whether for medium term investment strategies or shorter term trading setups.
Visualization and Legend
For intuitive usability, NEUTRONSTAR uses color coded bar overlays to indicate trend direction:
Green - indicates an uptrend.
Gray - signals a neutral or transition phase.
Purple - denotes a downtrend.
An optional background color can be enabled for market mode visualization, indicating the overall market state as either trending or mean reverting. This feature allows traders to assess trend direction and strength at a glance, simplifying decision making.
Additional Metrics Table
To support strategic decision making, NEUTRONSTAR includes an additional metrics table for in depth analysis:
Performance Ratios - Sharpe, Sortino, and Omega ratios assess the asset’s risk adjusted returns.
Volatility Insights - Provides an average volatility measure, valuable for understanding market stability.
Beta Measurement - Calculates asset beta against BTC, offering insight into asset volatility in the context of the broader market.
These metrics provide deeper insights into individual asset behavior, supporting more informed trend based allocations. The table is fully customizable, allowing traders to adjust the position and size for a seamless integration into their workspace.
Final Summary
The Trend Titan NEUTRONSTAR indicator is a powerful and resilient trend following system for crypto markets, built with a unique aggregation of high performance models to deliver dependable, noise reduced trend signals. Its robust design, free from overfitting, ensures adaptability across various assets and timeframes. With customizable sensitivity settings, intuitive color coded visualization, and an advanced risk metrics table, NEUTRONSTAR provides traders with a comprehensive tool for identifying and riding profitable trends, while safeguarding capital during unfavorable market phases.
Trade Mavrix: Elite Trade NavigatorYour ultimate trading companion that helps you spot profitable breakouts, perfect pullbacks, and crucial support & resistance levels. Ready to take your trading to the next level? Let's dive in!
ORB with ATR Trailing SL [Bluechip Algos]This is a simple ORB (Opening Range Breakout) Indicator that not only signals breakout directions based on the opening session range but also includes trailing stop levels to manage ongoing trades. Instead of regular fixed Stop loss, we use ATR indicator (ATR based SL) to trail the stop loss that might help in maximizing the profitable trades. This helps especially during the trending days where market moves unidirectionally.
About the Indicator
Opening Range Identification: The indicator defines an initial session timeframe and captures the highest and lowest prices during this period.
Breakout Signals: It signals potential entry points when the price crosses these range boundaries.
Trailing Stop Calculation: Customizable trailing stop-loss based on ATR percentage, helping users lock in profits.
Features
Session Customization: User-defined session for setting the opening range.
Entry Signal Customization: Allows configuration for breakouts on either a closing basis or upon touching the level.
Automatic Stop-Loss Adjustments: Dynamic trailing stop levels that adapt to both long and short entries.
Visual Display: Highlights breakout levels and plots lines representing stop-loss levels.
Understanding the Indicator
Range Calculation: After defining the session, the high and low of the session are locked. The high serves as the upper breakout boundary, and the low as the lower boundary.
Signals (Buy and Sell): The indicator uses crossover conditions:
Buy Signal ("B") when price crosses above the ORB high.
Sell Signal ("S") when price crosses below the ORB low.
Trail Stop Calculation: When a signal is triggered, a trailing stop level is set and updates as the trade progresses:
Long positions have a stop-loss based on a percentage below the last closing price.
Short positions have a stop-loss based on a percentage above the last closing price.
Input Parameters
Session Time (ORB Session Time): Start and end times for setting the ORB range.
Signal Configuration: Choice between "CLOSE" (signal on close) or "TOUCH" (signal as soon as level is touched).
ATR Percentage: Sets the percentage for the trailing stop calculation.
Implied Fair Value Gap (IFVG) ICT [TradingFinder] Hidden FVG OTE🔵 Introduction
The Implied Fair Value Gap (IFVG) is distinctive due to its unique three-candlestick formation, which differentiates it from conventional Fair Value Gaps.
Implied fair value represents an estimated worth of an asset—often a business or its goodwill—based on the price likely to be received in a structured transaction between market participants at a specific point in time.
In the ever-evolving world of technical analysis, pinpointing price reversal points and market anomalies can significantly enhance trading strategies and decision-making for traders and investors. Among the advanced concepts gaining traction in this field is the Implied Fair Value Gap (IFVG), introduced by the renowned analyst Inner Circle Trader (ICT).
This tool has proven to be an effective method for identifying hidden supply and demand zones in financial markets, offering a unique edge to traders looking for high-probability setups.
Unlike traditional gaps that are visible on price charts, IFVG is a hidden gap that doesn’t appear explicitly on the chart and thus requires specialized technical analysis tools for accurate identification.
This hidden gap can signal potential price reversals and offers traders insight into high-liquidity areas where price is likely to react. This article will guide you through using the ICT Implied Fair Value Gap Indicator effectively, covering its settings, usage strategies, and key features to help you make informed decisions in the market.
🟣 Bullish Implied FVG
🟣 Bearish Implied FVG
🔵 How to Use
The IFVG indicator is designed to assist traders in recognizing hidden support and resistance zones by identifying Bullish and Bearish IFVG patterns. With this tool, traders can make better-informed decisions about suitable entry and exit points for their trades based on these patterns.
🟣 Bullish Implied Fair Value Gap
This pattern occurs in an uptrend when a large bullish candlestick forms, with the wicks of the previous and following candles overlapping the body of the central candlestick.
This overlap creates a demand zone or a hidden support level, which can act as an ideal entry point for buy trades. Often, when the price returns to this area, it is likely to resume its upward trend, presenting a profitable buying opportunity.
🟣 Bearish Implied Fair Value Gap
This pattern is similar but forms in downtrends. Here, a large bearish candlestick appears on the chart, with the wicks of adjacent candles overlapping its body. This overlap defines a supply zone or a hidden resistance level and serves as a signal for potential sell trades.
When the price returns to this zone, it often continues its downward trend, providing an optimal point for entering sell trades.
The IFVG indicator also includes various filters that traders can use to refine their analysis based on market conditions. These filters, including Very Aggressive, Aggressive, Defensive, and Very Defensive, allow users to customize the IFVG zones' width, offering flexibility according to the trader’s risk tolerance and trading style.
🟣 Example Trading Scenarios
Suppose you’re in a strong uptrend and the IFVG indicator identifies a Bullish IFVG zone. In this scenario, you could consider entering a buy trade when the price retraces to this zone, expecting the uptrend to resume. Conversely, in a downtrend, a Bearish IFVG zone can signal a favorable entry point for short trades when the price revisits this area.
🔵 Settings
Implied Block Validity Period: This parameter specifies the validity period of each identified block, taking into account the number of bars that have passed since its formation. Proper adjustment of this period helps traders focus only on relevant zones, increasing the accuracy of the analysis.
Mitigation Level OB : This option defines the mitigation level for supply and demand blocks (Order Blocks), with settings including Proximal, 50% OB, and Distal.
Depending on the selected level, the indicator will focus on closer, mid-range, or farther points for block identification, allowing traders to adjust for the level of precision required.
Implied Filter : Activating this filter allows traders to apply conditions based on the width of the IFVG zones. With options like Very Aggressive and Very Defensive, traders can control the width of IFVG zones to suit their risk management strategy—whether they prefer high-risk setups or low-risk setups.
Display and Color Settings : This section enables users to customize the appearance of the IFVG zones on their charts. Traders can set different colors for Bullish and Bearish zones, allowing for easier distinction and improved visualization.
Alert Settings : One of the standout features of the IFVG indicator is the alert system. By setting up alerts, users can be notified whenever the price approaches a demand or supply zone.
Alerts can be customized to trigger Once Per Bar (one alert per bar) or Per Bar Close (alert at the close of each bar), ensuring that traders stay updated on critical price movements without needing to monitor the chart continuously.
🔵 Conclusion
The ICT Implied Fair Value Gap (IFVG) indicator is a powerful and sophisticated tool in technical analysis, allowing professional traders to identify hidden supply and demand zones and use them as entry and exit points for buy and sell trades.
This indicator’s automatic detection of IFVG zones helps traders uncover hidden trading opportunities that can enhance their analysis.
While the IFVG indicator offers numerous advantages, it is important to use it in conjunction with other technical analysis tools and sound risk management practices.
IFVG alone does not guarantee profitability in trading; it works best when combined with other indicators such as volume analysis and trend-following indicators for a comprehensive trading strategy.
