Bollinger Bands Reversal Strategy Analyzer█ OVERVIEW
The Bollinger Bands Reversal Overlay is a versatile trading tool designed to help traders identify potential reversal opportunities using Bollinger Bands. It provides visual signals, performance metrics, and a detailed table to analyze the effectiveness of reversal-based strategies over a user-defined lookback period.
█ KEY FEATURES
Bollinger Bands Calculation
The indicator calculates the standard Bollinger Bands, consisting of:
A middle band (basis) as the Simple Moving Average (SMA) of the closing price.
An upper band as the basis plus a multiple of the standard deviation.
A lower band as the basis minus a multiple of the standard deviation.
Users can customize the length of the Bollinger Bands and the multiplier for the standard deviation.
Reversal Signals
The indicator identifies potential reversal signals based on the interaction between the price and the Bollinger Bands.
Two entry strategies are available:
Revert Cross: Waits for the price to close back above the lower band (for longs) or below the upper band (for shorts) after crossing it.
Cross Threshold: Triggers a signal as soon as the price crosses the lower band (for longs) or the upper band (for shorts).
Trade Direction
Users can select a trade bias:
Long: Focuses on bullish reversal signals.
Short: Focuses on bearish reversal signals.
Performance Metrics
The indicator calculates and displays the performance of trades over a user-defined lookback period ( barLookback ).
Metrics include:
Win Rate: The percentage of trades that were profitable.
Mean Return: The average return across all trades.
Median Return: The median return across all trades.
These metrics are calculated for each bar in the lookback period, providing insights into the strategy's performance over time.
Visual Signals
The indicator plots buy and sell signals on the chart:
Buy Signals: Displayed as green triangles below the price bars.
Sell Signals: Displayed as red triangles above the price bars.
Performance Table
A customizable table is displayed on the chart, showing the performance metrics for each bar in the lookback period.
The table includes:
Win Rate: Highlighted with gradient colors (green for high win rates, red for low win rates).
Mean Return: Colored based on profitability (green for positive returns, red for negative returns).
Median Return: Colored similarly to the mean return.
Time Filtering
Users can define a specific time window for the indicator to analyze trades, ensuring that performance metrics are calculated only for the desired period.
Customizable Display
The table's font size can be adjusted to suit the user's preference, with options for "Auto," "Small," "Normal," and "Large."
█ PURPOSE
The Bollinger Bands Reversal Overlay is designed to:
Help traders identify high-probability reversal opportunities using Bollinger Bands.
Provide actionable insights into the performance of reversal-based strategies.
Enable users to backtest and optimize their trading strategies by analyzing historical performance metrics.
█ IDEAL USERS
Swing Traders: Looking for reversal opportunities within a trend.
Mean Reversion Traders: Interested in trading price reversals to the mean.
Strategy Developers: Seeking to backtest and refine Bollinger Bands-based strategies.
Performance Analysts: Wanting to evaluate the effectiveness of reversal signals over time.
Forecasting
Quantum Edge 2.0Quantum Edge is a closed-source, invite-only indicator designed to detect shifts in market momentum using a unique blend of a Proprietary Noise-Reduction Technique and volatility measurements. It leverages a Proprietary Momentum-to-Volatility Measure along with a standard deviation-based threshold to highlight potential turning points in price behavior.
What Makes Quantum Edge Original
Noise-Reduction Technique
Quantum Edge applies a self-tuning filter that adapts its smoothing level to changing market dynamics. This approach aims to minimize false signals by focusing on meaningful price fluctuations while retaining responsiveness to sudden changes.
Volatility Assessment
A standard deviation–based filter is integrated to ensure signals occur only when price movements exceed a particular volatility threshold. This helps traders differentiate between normal price oscillations and more consequential market shifts.
How It Works (High-Level Overview)
Momentum & Volatility Interaction
A Momentum-to-Volatility Measure evaluates the movement volatility. This helps the indicator assess whether the market is trending strongly or merely oscillating sideways.
Noise-Reduction Technique
By changing its smoothing level dynamically, Quantum Edge works to reduce minor fluctuations without delaying significant trend changes.
Standard Deviation Threshold
The script calculates volatility envelopes to confirm that signals have exceeded statistically significant thresholds, aiming to improve reliability in both low-volatility and high-volatility conditions.
Signal Generation
Buy signals appear when short-term momentum breaks above the script’s volatility filter.
Sell signals emerge when momentum descends below the filter’s baseline.
How To Use
Chart Setup
Plot Quantum Edge on standard candle or bar charts to prevent unrealistic results.
Chart Settings
There are no setting in this indicator since it is programmed to work in all kinds of market and in all timeframes. I have personally used it on 2-min charts to weekly charts.
Catching big moves
This indicator tries to catch all the big moves and works of ETFs, commodities ETFs and stocks.
Shortcomings of Quantum Edge
It doesn't work on stocks/ETFs which have low liquidity or are micro caps and which have huge gaps on the upside and downside frequently.
Position Size and Stop loss and Profit Targets:
This indictor (buy/sell alerts ) should be used with proper stop loss and possibly at least 2 different position sizes. Since if you have 2 positions size or 2 halves you can take profit for 1st position size without waiting for a opposite signal to come.
You can also do 3 position sizes with same stop loss while exiting at 2 different profit targets and the last position size will wait for the opposite signal to come.
Labels: Since labels are for information purposes on charts you can change it in settings to not display
Interpreting Signals
A green triangle/label indicates a potential buy opportunity when the momentum surpasses a key volatility threshold.
A red triangle/label signals a potential sell (or short) setup if momentum falls below a defined threshold.
Alerts
Built-in alerts notify you when a new buy or sell signal appears. These alerts can be also sent to your primary and alternative emails. You can also attach the alerts to a webhook.
Best Practices & Warnings
No Future Data Used
All calculations are based on real-time or historical bars. The script does not look into future data.
No Guarantee of Future Performance
Market conditions are unpredictable; performance in the past does not guarantee future success.
Why Closed-Source?
Quantum Edge employs proprietary calculations and techniques to provide unique insights into market momentum. While we offer a clear description of how it works at a conceptual level, we keep the source code private to safeguard our intellectual property.
Usage Reminder
This script is invite-only; only users granted explicit access can apply it to their charts.
Quantum Edge is provided for informational and educational purposes. Always combine it with your own thorough analysis.
Please let me know if you have any questions in comments.
Bearish Gap Down DetectionThis indicator is designed to identify bearish gap downs in price action and visually mark them on your chart. A gap down occurs when today's opening price is below the previous day's low, and the closing price remains below that low, signaling a potential bearish continuation or reversal.
Features:
Precise Gap Down Detection: Identifies only confirmed bearish gap downs, avoiding false signals.
Clear Visual Markers: Marks detected gap downs with a red downward triangle above the bar for easy identification.
Minimalist Design: Focuses solely on gap down detection, without any reliance on moving averages or additional noise.
Use Cases:
Trend Reversals: Spot potential downward trends as they develop.
Momentum Confirmation: Use alongside other indicators or strategies to confirm bearish momentum.
Swing Trading Opportunities: Ideal for traders looking to capitalize on significant price movements.
How It Works:
The script detects a gap down when:
Today's opening price is below the previous day's low.
Today's closing price stays below the previous day's low.
When these conditions are met, the indicator plots a red triangle above the price bar, signaling a bearish gap down.
Best Practices:
Apply this script to daily or higher timeframes for more reliable results.
Combine it with other indicators, such as support/resistance levels or volume analysis, for enhanced decision-making.
Previous D, W, M High/LowThis indicator plots previous day's high,low,open and close values and plots previous week's and month's high and low value on the chart.
CandelaCharts - ICT Weekly Profiles Go (WPG) 📝 Overview
The indicator provides a pattern-based approach to the ICT Weekly Profiles, emphasizing a line that marks the Open, High, Low, and Close of the week. This line allows you to instantly visualize and identify the Weekly Profile.
ICT Weekly Profiles are structured conceptual frameworks designed to outline typical patterns of price behavior over the course of a trading week. These profiles serve as analytical tools, offering traders insights into recurring market tendencies and helping them identify potential opportunities and risks.
The toolkit automatically detects and marks these Weekly Profiles on the chart, enabling traders to quickly pinpoint critical zones for analysis and decision-making.
📦 Features
The Block Concepts toolkit offers a comprehensive set of features designed to enhance trading precision and decision-making. Key features include:
Weekly Profiles (8)
Advanced Styling
Scanner
The indicator supports the following profiles:
ICT Weekly Profiles
Classic Tuesday Low Of The Week Bullish
Classic Tuesday High Of The Week Bearish
Wednesday Low Of The Week Bullish
Wednesday High Of The Week Bearish
Consolidation Thursday Reversal Bullish
Consolidation Thursday Reversal Bearish
Consolidation Midweek Rally Bullish
Consolidation Midweek Rally Bearish
⚙️ Settings
History: Controls how many profiles are displayed on the chart.
Timeframe Limit: Sets the timeframe up to which profiles will be drawn.
Show OHLC Lines: Display the lines for OHLC.
Show Profile Line: Display the Weekly Profile line.
Use NY Midnight Open: Controls from where a profile will start detection.
Open: Style for Open line.
High: Style for High line.
Low: Style for Low line.
Midline: Style for Profile Midline.
Label: Controls the position of the Weekly Profile name.
Scanner: Display the Scanner
⚡️ Showcase
ICT (Inner Circle Trader) weekly profile templates are analytical frameworks that categorize and describe typical patterns of price action observed during a trading week.
ICT Weekly Profiles
Scanner
📒 Usage
The primary objective of the ICT Weekly Profiles indicator is to provide traders with a comprehensive and actionable overview of the Weekly Previous, Current, and Future Profile. This allows traders to interpret market structure, anticipate price behavior, and align their trading decisions with higher time-frame trends.
Load the indicator on the chart
Enable Scanner
See the Predicted Profiles list
Predicted Profiles represent all potential scenarios for the current week, generated by a profile detection algorithm.
By visualizing potential outcomes through Predicted Profiles, the ICT Weekly Profiles indicator provides traders with a strategic edge, allowing them to remain flexible, prepared, and aligned with the most probable market movements.
🚨 Alerts
The indicator does not provide any alerts!
🔹 Notes
ICT Weekly Profiles
pbs.twimg.com
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
CandelaCharts - ICT Daily Profiles📝 Overview
The ICT Daily Profiles by CandelaCharts rooted in the ICT teachings represent a pattern-based approach to trading that focuses on identifying and analyzing the key highs and lows of various intraday trading sessions.
The toolkit automatically detects and marks these ICT Daily Profiles on the chart, enabling traders to quickly pinpoint critical zones for analysis and decision-making.
Whether you are a seasoned professional or a developing trader, ICT Daily Profiles provides actionable frameworks to enhance your understanding of price dynamics and improve your intraday trading performance.
📦 Features
The ICT Daily Profiles toolkit offers a comprehensive set of features designed to enhance trading precision and decision-making. Key features include:
Daily Profiles
Advanced Styling
Scanner
The indicator supports the following profiles:
Session I High Session II Low Bearish
Session I High Session III Low Bearish
Session I High Session IV Low Bearish
Session II High Session III Low Bearish
Session II High Session IV Low Bearish
Session III High Session IV Low Bearish
Session I Low Session II High Bullish
Session I Low Session III High Bullish
Session I Low Session IV High Bullish
Session II Low Session III High Bullish
Session II Low Session IV High Bullish
Session III Low Session IV High Bullish
Session I High Session I Low Bearish
Session I Low Session I High Bearish
Session II High Session II Low Bearish
Session II Low Session II High Bearish
Session III High Session III Low Bearish
Session III Low Session III High Bearish
Session IV High Session IV Low Bearish
Session IV Low Session IV High Bearish
⚙️ Settings
Sessions: Controls how many sessions you want to see.
History: Controls how many profiles are displayed on the chart.
Timeframe Limit: Sets the timeframe up to which profiles will be drawn.
Show OHLC Lines: Display the lines for OHLC.
Show Profile Line: Display the Daily Profile line.
Use NY Midnight Open: Controls from where a profile will start detection.
Open: Style for Open line.
High: Style for High line.
Low: Style for Low line.
Midline: Style for Profile Midline.
Label: Controls the position of the Daily Profile name.
Scanner: Display the Scanner
⚡️ Showcase
ICT (Inner Circle Trader) daily profile templates are analytical frameworks that categorize and describe typical patterns of price action observed during a trading day.
ICT Daily Profiles
Scanner
📒 Usage
The ICT Daily Profiles indicator aims to give traders a clear and actionable view of the Daily Previous, Current, and Future Profiles. This enables them to analyze market structure, predict price movements, and align their trading strategies with higher time-frame trends.
Load the indicator on the chart
Enable Scanner
See the Predicted Profiles list
Predicted Profiles represent all potential scenarios for the current day, generated by a profile detection algorithm.
By visualizing potential outcomes through Predicted Profiles, the ICT Daily Profiles indicator provides traders with a strategic edge, allowing them to remain flexible, prepared, and aligned with the most probable market movements.
🚨 Alerts
The indicator does not provide any alerts!
🔹 Notes
ICT Daily Profiles
pbs.twimg.com
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
CandelaCharts - ICT Weekly Profiles📝 Overview
The indicator provides a pattern-based approach to the ICT Weekly Profiles, emphasizing a line that marks the Open, High, Low, and Close of the week. This line allows you to instantly visualize and identify the Weekly Profile.
The profile detection relies on the week’s high and low, delivering a clear and concise representation of the weekly profile.
ICT Weekly Profiles are structured conceptual frameworks designed to outline typical patterns of price behavior over the course of a trading week. These profiles serve as analytical tools, offering traders insights into recurring market tendencies and helping them identify potential opportunities and risks.
The ICT Weekly Profiles indicator offers two distinct types of profiles to provide a clearer understanding of weekly price action:
ICT Weekly Profiles
ICT Missing Weekly Profiles
The toolkit automatically detects and marks these ICT Weekly Profiles and ICT Missing Weekly Profiles on the chart, enabling traders to quickly pinpoint critical zones for analysis and decision-making.
📦 Features
The ICT Weekly Profiles toolkit offers a comprehensive set of features designed to enhance trading precision and decision-making. Key features include:
Weekly Profiles
Missing Weekly Profiles
Advanced Styling
Scanner
The indicator supports the following profiles:
ICT Weekly Profiles
Classic Tuesday Low Of The Week Bullish
Classic Tuesday High Of The Week Bearish
Wednesday Low Of The Week Bullish
Wednesday High Of The Week Bearish
Consolidation Thursday Reversal Bullish
Consolidation Thursday Reversal Bearish
Consolidation Midweek Rally Bullish
Consolidation Midweek Rally Bearish
Wednesday Weekly Reversal Bullish
Wednesday Weekly Reversal Bearish
Seek And Destroy Bullish Friday
Seek And Destroy Bearish Friday
ICT Missing Weekly Profiles
Monday Low Tuesday High Bullish
Monday High Tuesday Low Bearish
Monday Low Wednesday High Bullish
Monday High Wednesday Low Bearish
Monday Low Thursday High Bullish
Monday High Thursday Low Bearish
Tuesday Low Wednesday High Bullish
Tuesday High Wednesday Low Bearish
Tuesday Low Friday High Bullish
Tuesday High Friday Low Bearish
Wednesday Low Thursday High Bullish
Wednesday High Thursday Low Bearish
Monday Low Friday High Bullish
Monday Friday Bearish Rally
Monday High/Low Range
Tuesday High/Low Range
Wednesday High/Low Range
Thursday High/Low Range
Friday High/Low Range
⚙️ Settings
History: Controls how many profiles are displayed on the chart.
Timeframe Limit: Sets the timeframe up to which profiles will be drawn.
Show OHLC Lines: Display the lines for OHLC.
Show Profile Line: Display the Weekly Profile line.
Use NY Midnight Open: Controls from where a profile will start detection.
Open: Style for Open line.
High: Style for High line.
Low: Style for Low line.
Midline: Style for Profile Midline.
Label: Controls the position of the Weekly Profile name.
Scanner: Display the Scanner
⚡️ Showcase
ICT (Inner Circle Trader) weekly profile templates are analytical frameworks that categorize and describe typical patterns of price action observed during a trading week.
ICT Weekly Profiles
ICT Missing Weekly Profiles
Scanner
📒 Usage
The primary objective of the ICT Weekly Profiles indicator is to provide traders with a comprehensive and actionable overview of the Weekly Previous, Current, and Future Profile. This allows traders to interpret market structure, anticipate price behavior, and align their trading decisions with higher time-frame trends.
Load the indicator on the chart
Enable Scanner
See the Predicted Profiles list
Predicted Profiles represent all potential scenarios for the current week, generated by a profile detection algorithm.
By visualizing potential outcomes through Predicted Profiles, the ICT Weekly Profiles indicator provides traders with a strategic edge, allowing them to remain flexible, prepared, and aligned with the most probable market movements.
🚨 Alerts
The indicator does not provide any alerts!
🔹 Notes
ICT Weekly Profiles
pbs.twimg.com
ICT Missing Weekly Profiles
pbs.twimg.com
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
XAUMOvisionXAUMOvision: T he XAU/USD Composite Correlation Indicator with Weighted Spillover & Dynamic Lines
XAUMOvision is a custom-built trading indicator designed to track the intricate relationship between XAU/USD (Gold) and key economic factors: DXY (US Dollar Index), US Treasury Yields, S&P 500, and Crude Oil. By blending correlation metrics with weighted spillover effects, XAUMOvision offers actionable insights to refine your Gold trading strategy.
Core Features of XAUMOvision
1. Correlation (CC)
Definition: Measures how closely two assets move together over a given period.
Calculation: Pearson Correlation is used to assess Gold's relationship with:
DXY: Negative correlation—when DXY rises, Gold typically falls.
US Treasury Yields: Negative correlation—higher yields reduce Gold’s appeal.
S&P 500: Opposite movement, as Gold acts as a safe-haven.
Crude Oil: Positive correlation—both often rise during inflationary pressures.
2. Weighted Spillover
What It Does: Quantifies how movements in each asset (DXY, Yields, etc.) influence Gold.
Weighting: User-defined values (e.g., DXY weight = 0.4) scale each factor’s impact.
Result: A total spillover score reveals bullish or bearish sentiment for XAU/USD.
3. Composite Bias Line
Purpose: Consolidates spillover impacts into a single sentiment indicator.
Readings:
Strong Bullish: Composite Bias > 0.5.
Neutral: Close to 0.
Strong Bearish: Composite Bias < -0.5.
Output: A directional bias to guide your trading decisions.
4. Traffic Signal Line
Visual Cues:
Green: Strong Bullish Signal.
Red: Strong Bearish Signal.
Gray: Neutral—avoid trading.
Utility: A quick, color-coded overview of market conditions.
Using XAUMOvision Effectively
When to Use
During high volatility or major news events (e.g., CPI, interest rate decisions).
To understand macroeconomic forces driving Gold’s price action.
Recommended Timeframes
4-Hour: Ideal for swing traders seeking medium-term setups.
Daily: Perfect for macro trend analysis.
Weekly: Suitable for long-term investors aligning with broader trends.
---------------------------------------------------------------------------------
Practical Example
Monday, January 13, 2025 (Neutral Market)
Market Behavior: Gold stagnated (-0.96%), with low volume (681.13K).
Indicator Insights:
Composite Spillover: -0.92 (mild bearish pressure).
Traffic Signal Line: Gray—stay out of the market.
Bias Line: Weak Bearish (-1), signaling no strong trend.
Result: XAUMOvision kept traders from entering a choppy, low-volume market.
Wednesday, January 15, 2025 (CPI-Driven Rally)
CPI Release: Core CPI softer than expected (0.2% vs. 0.3%), weakening the DXY and Yields. Gold surged.
Indicator Insights:
Composite Spillover: +0.57 (strong bullish sentiment).
Traffic Signal Line: Green—clear buy signal.
Bias Line: Strong Bullish (+2), confirming the trend.
Result: Traders aligned with institutional flows and profited from the CPI-driven rally.
--------------------------------------------------------------------------------
Why XAUMOvision Stands Out
Avoids Bad Trades: Neutral signals and low-volume days keep you sidelined during indecisive markets.
Pinpoints Big Moves: Green signals during high-impact events help you capitalize on major trends.
Volume Validation: Confirms institutional activity to distinguish real trends from fakeouts.
Conclusion: Trade Like a Pro
XAUMOvision blends macroeconomic analysis with real-time technical indicators, ensuring you stay ahead of market moves. Whether navigating neutral markets or CPI-driven surges, this tool provides clarity and confidence in your trading decisions. For swing traders and macro enthusiasts, XAUMOvision is the ultimate weapon in Gold trading.
US30 Q4_trade _levels_Jan2025updated description and use
US30 Trade Levels.plus 50% take profit levels
this indicator is based on the US30 quarterly theory level strategy
the difference here is that the zones have been zoom'd out for the H2 view for oversight and M30 as application theory to the Q4 levels.
The Q4 levels are spaced and calculated 385 pips apart, and also span within the daily ADR range for US30.
so these are zones that has proven to be valid going back as far as Nov2022
these are pass through levels, to together with other confluences like order blocks and or breaker blocks, will give you a guideline as to expect a valid zone of interest.
USE this indicator in conjunction with an SMC point of view to identify OB & CHOCH
Liquidity Trading Algorithm (LTA)
The Liquidity Trading Algorithm is an algorithm designed to provide trade signals based on
liquidity conditions in the market. The underlying algorithm is based on the Liquidity
Dependent Price Movement (LDPM) metric and the Liquidity Dependent Price Stability (LDPS)
algorithm.
Together, LDPM and LDPS demonstrate statistically significant forecasting capabilities for price-
action on equities, cryptocurrencies, and futures. LTA takes these liquidity measurements and
translates them into actionable insights by way of entering or exiting a position based
on the future outlooks, as measured by the current liquidity status.
The benefit of LTA is that it can incorporate these powerful liquidity measurements into
actionable insights with several features designed to help you tailor LTA's behavior and
measurements to your desired vantage point. These customizable features come by the way of determining LTA's assessment style, and additional monitoring systems for avoiding bear and bull traps, along with various other quality of life features, discussed in more detail below.
First, a few quick facts:
- LTA is compatible on a wide array of instruments, including Equities, Futures, Cryptocurrencies, and Forex.
- LTA is compatible on most intervals in so long as the data can be calculated appropriately,
(be sure to do a backtest on timescales less than 1-minue to ensure the data can be computed).
- LTA only measures liquidity at the end of the interval of the chart chosen, and does not respond to conditions during the candle interval, unless specified (such as with `Stops`).
- LTA is interval-dependent, this means it will measure and behave differently on different
intervals as the underlying algorithms are dependent on the interval chosen.
- LTA can utilize fractional share sizing for cryptocurrencies.
- LTA can be restricted to either bullish or bearish indications.
- Additional Monitoring Systems are available for additional risk mitigation.
In short, LTA is a widely applicable, unique algorithm designed to translate liquidity measurements into liquidity insights.
Before getting more into the details, here is a quick list of the main features and settings
available for customization:
- Backtesting Start Date: Manual selection of the start date for the algorithm during backtesting.
- Assessment Style: adjust how LDPM and LDPS measure and respond to changes in liquidity.
- Impose Wait: force LTA to wait before entering or exiting a position to ensure conditions have remained conducive.
- Trade Direction Allowance: Restrict LTA to only long or only short, if desired.
- Position Sizing Method: determine how LTA calculates position sizing.
- Fractional Share Sizing: allow LTA to calculate fractional share sizes for cryptocurrencies
- Max Size Limit: Impose a maximum size on LTA's positions.
- Initial Capital: Indicate how much capital LTA should stat with.
- Portfolio Allotment: Indicate to LTA how much (in percentages) of the available balance should be considered when calculating position size.
- Enact Additional Monitoring Systems: Indicate if LTA should impose additional safety criteria when monitoring liquidity.
- Configure Take Profit, Stop-Loss, Trailing Stop Loss
- Display Information tables on the current position, overall strategy performance, along
with a text output showing LTA's processes.
- Real-time text output and updates on LTA's inner workings.
Let's get into some more of the details.
LTA's Assessment Style
LTA's assessment style determines how LTA collects and responds to changing data. In traditional terms, this is akin to (but not quite exactly the same as) the sensitivity versus specificity spectrum, whereby on one end (the sensitive end), an algorithm responds to changes in data in a reactive manner (which tends to lower its specificity, or how often it is correct in its indications), and on the other end, the opposite one, the algorithm foresakes quick changes for longevity of outlook.
While this is in part true, it is not a full view of the underlying mechanisms that changing the assessment style augments. A better analogy would be that the sensitive end of the spectrum (`Aggressive`) is in a state such that the algorithm wants to changing its outlooks, and as such, with changes in data, the algorithm has to be convinced as to why that is not a good idea to change outlooks, whereas the the more specific states (`Conservative`, `Diamond`) must be convinced that their view is no longer valid and that it needs to be changed.
This means the `Aggressive` and the `Diamond` settings fundamentally differ not just in their
data collection, but also in the data processing such that the `Aggressive` decision tree has to
be convinced that the data is the same (as its defualt is that it has changed),
and the `Diamond` decision tree has to be convinced that the data is not the same, and as such, the outlook need changed.
From there, the algorithm cooks through the data and determines to what the outlook should be changed to, given the current state of liquidity.
`Balanced` lies in the middle of this balance, attempting to balance being open to new ideas while not removing the wisdom of the past, as it were.
On a scale of most `sensitive` to most `specific`, it is as follows: `Aggressive`, `Balanced`,
`Conservative`, `Diamond`.
Functionally, these different modes can help in different liquidity environments, as certain
environments are more conducive to an eager approach (such as found near `Aggressive`) or are more conducive to a more conservative approach, where sudden changes in liquidity are known to be short-lived and unremarkable (such as many previously identified bull or bear traps).
For instance, on low interval views, it can often-times be beneficial to keep the algorithm towards the `Sensitive` end, since on the lower-timeframes, the crosswinds can change quite dramatically; whereas on the longer intervals, it may be useful to maintain a more `Specific` algorithm (such as found near `Diamond` mode) setting since longer intervals typically lend themselves to longer time-horizons, which themselves typically lend themselves to "weathering the storm", as it were.
LTA's Assessment Style is also supported by the Additional Monitoring Systems which works
to add sensitivity without sacrificing specificity by enacting a separate monitoring system, as described below.
Additional Monitoring Systems
The Additional Monitoring System (AMS) attempts to add more context to any changes in liquidity conditions as measured, such that LTA as a whole will have an expanded view into any rapidly changing liquidity conditions before these changes manifest in the traditional data streams. The ideal is that this allows for early exits or early entrances to positions "a head of time".
The traditional use of this system is to indicate when liquidity is suggestive of the end of a particular run (be it a bear run or a bull run), so an early exit can be initiated (and thus,
downside averted) even before the data officially showcase such changes. In such cases (when AMS becomes activated), the algorithm will signal to exit any open positions, and will restrict the opening of any new positions.
When a position is exited because of AMS, it is denoted as an `Early Exit` and if a position is prevented from being entered, the text output will display `AM prevented entry...` to indicate that conditions are not meeting AMS' additional standards.
The algorithm will wait to make any actions while `AMS` is `active` and will only enter into a new position once `AMS` has been `deactivated` and overall liquidity conditions are appropriate.
Functionally, the benefits of AMS translate to:
- Toggeling AMS on will typically see a net reduction in overall profitability, but
- AMS will typically (almost always) reduce max drawdown,
an increases in max runup, and increase return-over-maxdrawdown, and
- AMS can provide benefit for equities that experience a lot of "traps" by navigating early
entrance and early exits.
So in short, AMS is way of adding an additional level of liquidity monitoring that attempts to
exit positions if conditions look to be deteriorating, and to enter conditions if they look to be
improving. The cost of this additional monitoring, however, is a greater number of trades indicated, and a lower overall profitability.
Impose Wait
Note: `Impose Wait` will not force Take Profit, Stop Loss, or Trailing Stop Loss to
wait.
LTA can be indicated to `wait` before entering or exiting a position if desired. This means that if conditions change, whereas without a `wait` imposed, the algorithm would immediately indicate this change via a signal to alter the strategy's position, with a `wait` imposed, the algorithm will `wait` the indicated number of bars, and then re-check conditions before proceeding.
If, while waiting, conditions change to a state that is no longer compatible with the "order-in-
waiting", then the order-in-waiting is removed, and the counts reset (i.e.: conditions must remain favorable to the intended positional change throughout the wait period).
Since LTA works at the end-of-intervals, there is an inherently "built-in" wait of 1 bar when
switching directly from long to short (i.e.: if a full switch is indicated, then it is indicated as
conditions change -> exit new position -> wait until -> check conditions ->
enter new position as indicated). Thus, to impose a wait of `1 bar` would be to effectively have a total of two candles' ends prior to the entrance of the new position).
There are two main styles of `Impose Wait` that you can utilize:
- `Wait` : this mode will cause LTA to `wait` when both entering and exiting a position (in so long as it is not an exit signaled via a Take Profit, Stop Loss or Trailing Stop Loss).
- `Exit-Wait` : This mode will >not< cause LTA to `wait` if conditions require the closing of a position, but will force LTA to wait before entering into a position.
Position:
In addition to the availability to restrict LTA to either a long-only or short-only strategy, LTA
also comprises additional flexibility when deciding on how it should navigate the markets with
regards to sizing. Notably, this flexibility benefits several aspects of LTA's existence, namely the ability to determine the `Sizing Method`, or if `Fractional Share Sizing` should be employed, and more, as discussed below.
Position Sizing Method
There are two main ways LTA can determine the size of a position. Either via the `Fixed-Share` choice, or the `Fixed-Percentage` choice.
- `Fixed-Share` will use the amount indicated in the `Max Sizing Limit` field as the position size, always.
Note: With `Fixed-Share` sizing, LTA will >not< check if the balance is sufficient
prior to signaling an entrance.
- `Fixed-Percentage` will use the percentage amount indicated in the `Portfolio Allotment` field as the percentage of available funds to use when calculating the position size. Additionally, with the `Fixed-Percentage` choice, you can set the `Max Sizing Limit` if desired, which will ensure that no position will be entered greater than the amount indicated in the field.
Fractional Share Sizing
If the underlying instrument supports it (typically only cryptocurrencies), share sizing can be
fractionalized. If this is done, the resulting positin size is rounded to `4 digits`. This means any
position with a size less than `0.00005` will be rounded to `0.0000`
Note: Ensure that the underlying instrument supports fractional share sizing prior
to initiating.
Max Sizing Limit
As discussed above, the `Max Sizing Limit` will determine:
- The position size for every position, if `Sizing Method : Fixed-Share` is utilized, or
- The maximum allowed size, regardless of available capital, if `Sizing Method : Fixed-Percentage` is utilized.
Note: There is an internal maximum of 100,000 units.
Initial Capital
Note: There are 2 `Initial Capital` settings; one in LTA's settings and one in the
`Properties` tab. Ensure these two are the same when doing backtesting.
The initial capital field will be used to determine the starting balanace of the strategy, and
is used to calculate the internal data reporting (the data tables).
Portfolio Allotment
You can specify how much of the total available balance should be used when calculating the share size. The default is 100%.
Stops
Note: Stops over-ride `AMS` and `Impose Wait`, and are not restricted to only the
end-of-candle and will occur instantaneously upon their activation. Neither `AMS` nor `Impose Wait` can over-ride a signal from a `Take-Profit`, `Stop-Loss`, or a `Trailing-Stop Loss`.
LTA enhouses three stops that can be configured, a `Take-Profit`, a `Stop-Loss` and a `Trailing-Stop Loss`. The configurations can be set in the settings in percent terms. These exit signals will always over-ride AMS or any other restrictions on position exit.
Their configuration is rather standard; set the percentages you want the signal to be sent at and so it will be done.
Some quick notes on the `Trailing-Stop Loss`:
- The activation percentage must be reached (in profits) prior to the `Traililng-Stop Loss`
from activating the downside protection. For example, if the `Activation Percentage` is 10%, then unless the position reaches (at any point) a 10% profit, then it will not signal any exits on the downside, should it occur.
- The downside price-point is continuously updated and is calculated from the maximum profit reached in the given position and the loss percentage placed in the appropriate field.
Data Tables and Data Output
LTA provides real-time data output through a variety of mechanisms:
- `Position Table`
The `Position Table` displays information about the current position, including:
> Position Duration : how long the position has been open for.
> Indicates if the side is Long or Short, depending on if it is long or short.
> Entry Price: the price the position was entered at.
> Current Price (% Dif): the current price of the underlying and the %-difference between the entry price and the current price.
> Max Profit ($/%): the maximum profit reached in $ and % terms.
> Current PnL ($/%) : the current PnL for the open position.
- `Performance Table`
The `Performance Table` displays information regarding the overall performance of the algorithm since its `Start Date`. These data include:
> Initial Equity ($): The initial equity the algorithm started with.
> Current Equity ($): The current total equity of the account (including open positions)
> Net Profits ($|%) : The overall net profit in $ and % terms.
> Long / Short Trade Counts: The respective trade counts for the positions entered.
> Total Closed Trades: The running sum of the number of trades closed.
> Profitability: The calculation of the number of profitable trades over the total number of
trades.
> Avg. Profit / Trade: The calculation of the average profit per trade in both $ and % terms.
> Avg. Loss / Trade: The calculation of the average loss per trade in both $ and % terms.
> Max Run-Up: The maximum run-up the algorithm has seen in both $ and % terms.
> Max Drawdown: The maximum draw-down the algorithm has seen in both $ and % terms.
> Return-Over-Max-Drawdown: the ratio of the maximum drawdown against the current net profits.
- `Text Output`
LTA will output, if desired, signals to the text output field every time it analysis or performs and action. These messages can include information such as:
"
08:00:00 >> AM Protocol activated ... exiting position ...
08:00:00 >> Exit Order Created for qty: 2, profit: 380 (4.34%)
...
09:30:00 >> Checking conditions ...
09:30:00 >> AM protocol prevented entry ... waiting ...
"
This way, you can keep an eye out on what is happening "under the hood", as it were.
LTA will produce a message at the end of its assessment at the end of each candle interval, as well as when a position is exited due to a `Stop` or due to `AMS` being activated.
Additionally, the `Text Output` includes a initial message, but for space-constraints, this
can be toggled off with the `Blank Text Output` option within LTA's configurations.
For additional information, please refer to the Author's Instructions below.
Price Projection by Linear RegressionPurpose:
This is a TradingView Pine Script indicator that performs a linear regression on historical price data to project potential future price levels. It's designed to help traders visualize long-term price trends and potential future price targets.
Key Components:
User Inputs:
Historical Data Points (default 1000 bars) - The amount of historical data used to calculate the trend
Years to Project (default 10 years) - How far into the future to project the price
Technical Implementation:
Uses linear regression (ta.linreg) to calculate the trend slope
Converts years to trading days using 252 trading days per year
Limits visible projection to 500 bars due to TradingView's drawing limitations
Projects prices using the formula: current_price + (slope × number_of_bars)
Visual Elements:
Blue line showing actual historical prices
Red projection line showing the expected price path
Label showing the projected price at the visible end of the line
Information table in the top-right corner showing:
Current price
Final projected price after the full time period
Limitations:
Can only display projections up to 500 bars into the future (about 2 years) due to TradingView limitations
The full projection value is still calculated and shown in the table
Past performance doesn't guarantee future results - this is a mathematical projection based on historical trends
Usage:
Traders can use this to:
Visualize potential long-term price trends
Set long-term price targets
Understand the historical trend's trajectory
Compare current prices with projected future values
Bitcoin 1H-15M Breakout StrategyKey Features
1H and 15M Timeframes:
The script uses the 1-hour timeframe for the range and 15-minute timeframe for breakout conditions.
request.security is used to fetch the higher timeframe data.
Risk Management:
Variables entry_price, sl_price, and tp_price are declared explicitly as float with na initialization to handle dynamic assignment.
Stop-loss and take-profit levels are calculated based on the specified Risk-Reward Ratio (RRR) and buffer (in pips).
Trade Logic:
Long trade triggered when the 15-minute candle closes above the 1-hour high.
Short trade triggered when the 15-minute candle closes below the 1-hour low.
Visualization:
The range_high and range_low (previous 1-hour high and low) are plotted on the chart using dashed lines.
Debugging:
Enabling the show_debug input displays labels showing stop-loss and take-profit values for easier troubleshooting.
Quasimodo PatternWhat is a Quasimodo Pattern?
A Quasimodo Pattern is a chart pattern traders look for to predict possible price reversals in the market:
- Bullish Quasimodo: Signals a possible price increase (buying opportunity).
- Bearish Quasimodo: Signals a potential price decrease (selling opportunity).
How the Script Works
1. Bullish Quasimodo:
- Checks if the price pattern shows signs of a potential upward movement:
- The current low price is higher than a previous price point (suggesting fair value gap).
- The previous candle closed higher than it opened (bullish candle).
- The candle before that closed lower than it opened (bearish candle).
2. Bearish Quasimodo:
- Looks for signs of a downward movement:
- The current high price is lower than a previous price point (suggesting fair value gap).
- The previous candle closed lower than it opened (bearish candle).
- The candle before that closed higher than it opened (bullish candle).
Visual Indicators
- Yellow Candles: Indicate a bullish Quasimodo pattern.
- Pink Candles: Indicate a bearish Quasimodo pattern.
Alerts
If a Quasimodo pattern is detected, the script sends an alert:
- The alert says: "A Quasimodo Pattern has appeared!"
Purpose
Traders can use this tool to quickly spot potential trend changes without manually analyzing every chart, saving time and improving decision-making for trades.
Year-over-Year % Change for PCEPILFEHello, traders!
This indicator is specifically for FRED:PCEPILFE , which is a 'Personal Consumption Expenditures (PCE) Index excluding food and energy.'
What this indicator does is compare the monthly data to that of the same month last year to see how it has changed over the year. This comparison method is widely known as YoY(Year-over-Year).
While I made this indicator to use for FRED:PCEPILFE , you may use it for different charts as long as they show monthly data.
FRED:PCEPILFE is one of the main measures of inflation the Federal Reserve uses.
You can see the YoY % change of the PCE Index excluding food and energy in the official website for the Bureau of Labor Statistics, but unfortunately, I couldn't find one in TradingView.
So instead, I decided to make my own indicator showing the changes using FRED:PCEPILFE .
The code is very simple: it compares the data to the data 12 points ago because 12 points would mean 12 months in this chart. We then multiply the result by 100 for percentage.
Doing so, we compare the current month to the same month of the previous year.
Because I am only interested in the YoY % Change of the index, I pulled the indicator all the way up, covering the original chart data entirely. (Or you could achieve the same by simply moving your indicator to the pane above. But this way, the original chart data is also visible.)
I hope this indicator helps you with your analysis. Feel free to ask questions if have any!
God bless!
ICT CRT Model Range with EquilibriumICT CRT Model Range with Equilibrium Indicator
This indicator calculates and displays the high, low, and equilibrium levels within a custom-defined session (9:00 am to 10:00 am New York Time and the lines will stop appearing at 16:00pm ). It draws horizontal lines to represent the session's range and marks the equilibrium point as a reference.
What is CRT (Candle Range Theory)?
Candle Range Theory (CRT) is based on the concept that every candle on any timeframe forms its own range. These ranges can either be manipulated—through strategies like Turtle Soup—or broken, resulting in price movements such as engulfing patterns, breakouts, and retests beyond the candle's high or low.
CRT is commonly visualized as a 3-candle model, but it can include more candles due to the presence of inside bars. An inside bar is a candle whose high is not higher than the previous candle's high and whose low is not lower than the previous candle's low.
The CRT model follows the A-M-D structure:
Accumulation (A): The first candle or group of candles (inside bars) represents market consolidation.
Manipulation (M): The second candle signals a false move, often a Turtle Soup setup designed to trap traders.
Distribution (D): The third candle confirms the true market move, breaking out of the range and establishing the trend.
Customizable Settings:
Line Colors: Choose your preferred colors for the high, low, and equilibrium lines.
Line Widths: Adjust the thickness of the lines for better visibility.
Line Styles: Select from solid, dotted, or dashed styles for each line.
Label Settings: Customize the text and colors of the labels for the high, low, and equilibrium points.
Traders can easily modify these settings to suit their visual preferences and trading strategies. This indicator is ideal for identifying price action within a specific range, offering clear visual cues for potential CRT Setup.
Lead-Lag Market Detector [CryptoSea]The Lead-Lag Market Detector is an advanced tool designed to help traders identify leading and lagging assets within a chosen market. This indicator leverages correlation analysis to rank assets based on their influence, making it ideal for traders seeking to optimise their portfolio or spot key market trends.
Key Features
Dynamic Asset Ranking: Utilises real-time correlation calculations to rank assets by their influence on the market, helping traders identify market leaders and laggers.
Customisable Parameters: Includes adjustable lookback periods and correlation thresholds to adapt the analysis to different market conditions and trading styles.
Comprehensive Asset Coverage: Supports up to 30 assets, offering broad market insights across cryptocurrencies, stocks, or other markets.
Gradient-Enhanced Table Display: Presents results in a colour-coded table, where assets are ranked dynamically with influence scores, aiding in quick visual analysis.
In the example below, the ranking highlights how assets tend to move in groups. For instance, BTCUSDT, ETHUSDT, BNBUSDT, SOLUSDT, and LTCUSDT are highly correlated and moving together as a group. Similarly, another group of correlated assets includes XRPUSDT, FILUSDT, APEUSDT, XTZUSDT, THETAUSDT, and CAKEUSDT. This grouping of assets provides valuable insights for traders to diversify or spread exposure.
If you believe one asset in a group is likely to perform well, you can spread your exposure into other correlated assets within the same group to capitalise on their collective movement. Additionally, assets like AVAXUSDT and ZECUSDT, which appear less correlated or uncorrelated with the rest, may offer opportunities to act as potential hedges in your trading strategy.
How it Works
Correlation-Based Scoring: Calculates pairwise correlations between assets over a user-defined lookback period, identifying assets with high influence scores as market leaders.
Customisable Thresholds: Allows traders to define a correlation threshold, ensuring the analysis focuses only on significant relationships between assets.
Dynamic Score Calculation: Scores are updated dynamically based on the timeframe and input settings, providing real-time insights into market behaviour.
Colour-Enhanced Results: The table display uses gradients to visually distinguish between leading and lagging assets, simplifying data interpretation.
Application
Portfolio Optimisation: Identifies influential assets to help traders allocate their portfolio effectively and reduce exposure to lagging assets.
Market Trend Identification: Highlights leading assets that may signal broader market trends, aiding in strategic decision-making.
Customised Trading Strategies: Adapts to various trading styles through extensive input settings, ensuring the analysis meets the specific needs of each trader.
The Lead-Lag Market Detector by is an essential tool for traders aiming to uncover market leaders and laggers, navigate complex market dynamics, and optimise their trading strategies with precision and insight.
Fibonacci Trend [ChartPrime]Fibonacci Trend Indicator
This powerful indicator leverages supertrend analysis to detect market direction while overlaying dynamic Fibonacci levels to highlight potential support, resistance, and optimal trend entry zones. With its straightforward design, it is perfect for traders looking to simplify their workflow and enhance decision-making.
⯁ KEY FEATURES AND HOW TO USE
⯌ Supertrend Trend Identification :
The indicator uses a supertrend algorithm to identify market direction. It displays purple for downtrends and green for uptrends, ensuring quick and clear trend analysis.
⯌ Fibonacci Levels for Current Swings :
Automatically calculates Fibonacci retracement levels (0.236, 0.382, 0.618, 0.786) for the current swing leg.
- These levels act as key zones for potential support, resistance, and trend continuation.
- The high and low swing points are labeled with exact prices, ensuring clarity.
- If the swing range is insufficient (less than five times ATR), Fibonacci levels are not displayed, avoiding irrelevant data.
⯌ Extended Fibonacci Levels :
User-defined extensions project Fibonacci levels into the future, aiding traders in planning price targets or projecting key zones.
⯌ Optimal Trend Entry Zone :
A filled area between 0.618 and 0.786 levels visually highlights the optimal entry zone for trend continuation. This allows traders to refine their entry points during pullbacks.
⯌ Diagonal Trend Line :
A dashed diagonal line connects the swing high and low, visually confirming the range and trend strength of the current swing.
⯌ Visual Labels for Fibonacci Levels :
Each Fibonacci level is marked with a label displaying its value for quick reference.
⯁ HOW TRADERS CAN POTENTIALLY USE THIS TOOL
Fibonacci Retracements:
Use the Fibonacci retracement levels to find key support or resistance zones where the price may pull back before continuing its trend.
Example: Enter long trades when the price retraces to 0.618–0.786 levels in an uptrend.
Fibonacci Extensions:
Use Fibonacci extensions to project future price targets based on the current trend's swing leg. Levels like 127.2% and 161.8% are commonly used as profit-taking zones.
Reversal Identification:
Spot potential reversals by monitoring price reactions at key Fibonacci retracement levels (e.g., 0.236 or 0.382) or the swing high/low.
Optimal Trend Entries:
The filled zone between 0.618 and 0.786 is a statistically strong area for entering a position in the direction of the trend.
Example: Enter long positions during retracements to this range in an uptrend.
Risk Management:
Set stop-losses below key Fibonacci levels or the swing low/high, and take profits at extension levels, enhancing your trade management strategies.
⯁ CONCLUSION
The Fibonacci Trend Indicator is a straightforward yet effective tool for identifying trends and key Fibonacci levels. It simplifies analysis by integrating supertrend-based trend identification with Fibonacci retracements, extensions, and optimal entry zones. Whether you're a beginner or experienced trader, this indicator is an essential addition to your toolkit for trend trading, reversal spotting, and risk management.
L.I.F.T. - Legaci Index Flow TrackerL.I.F.T. - Legaci Index Flow Tracker
The 'Legaci Index Flow Tracker' is a cutting-edge tool designed for traders and analysts who want to gain unparalleled insight into the strength and momentum of key market indices. This innovative indicator evaluates the relationship between 13 customisable indices and their respective Simple Moving Averages (SMAs), along with the slopes of those SMAs, to deliver a comprehensive market sentiment analysis.
Key Features:
Dynamic Scoring System :
Each index is evaluated across four categories, assigning a score of +1 (bullish) or -1 (bearish) based on price action and momentum.
Intuitive Table Display :
Scores for each index are presented in an easy-to-read table, highlighting:
The index ticker.
Individual scores for the 4 categories (price vs. SMA and slope).
A Final Score summarising the overall strength or weakness of each index.
Customisable Parameters :
Timeframe : Adapt to short-term, mid-term, or long-term trading strategies.
Lookback Period : Fine-tune slope calculations to capture precise market trends.
SMA Lengths : Adjust the moving average lengths to align with your trading methodology.
Index Selection : Choose from the 13 default indices or customise them to track your preferred market segments.
Why use the "L.I.F.T."?
This indicator is perfect for traders seeking a big-picture overview of market flow across multiple indices while maintaining the flexibility to drill down into specific trends. By tracking price action, SMA relationships, and momentum slopes in a unified framework, the Legaci Index Flow Tracker helps you:
Identify market trends at a glance.
Pinpoint the strongest and weakest indices in any timeframe.
Stay ahead of market shifts with actionable insights.
Whether you’re a day trader or a long-term strategist, the indicator is an essential addition to your toolkit, providing you with the clarity and precision needed to navigate today’s complex markets.
Enhanced VIP-like IndicatorSettings Breakdown Tutorial: Optimizing a Trading Strategy
This guide explains the key trading strategy settings and how to customize them based on your trading style and goals. Each parameter is essential for tailoring the strategy to market conditions and your risk appetite.
1. Short Moving Average Length (Default: 9)
• Purpose: Tracks short-term trends using a small number of candles.
• Settings Tips:
• Smaller Values (e.g., 9): Quickly react to price changes, useful for fast-moving markets.
• Larger Values (e.g., 12-15): Generate smoother signals for less volatile trades.
2. Long Moving Average Length (Default: 21)
• Purpose: Identifies long-term trends.
• Settings Tips:
• Higher Values (e.g., 50): Spot broader trends at the expense of slower signals.
• Trend Analysis: The interaction of short and long MAs helps determine bullish or bearish trends (e.g., bullish when short MA crosses above long MA).
3. Higher Timeframe MA Length (Default: 200)
• Purpose: Filters long-term trends on a higher timeframe (e.g., daily).
• Settings Tips:
• 200 Periods: Standard for defining bullish (price above) or bearish (price below) markets.
• Adjustable: Use 100 for faster responses or stick with 200 for reliability.
4. Higher Timeframe (Default: 1 Day)
• Purpose: Defines the timeframe for the higher moving average.
• Settings Tips:
• Shorter Timeframes (e.g., 4 Hours): More frequent trading signals.
• Daily Timeframe: Best for swing trading and identifying macro trends.
5. RSI Length (Default: 14)
• Purpose: Measures momentum over a specific number of candles.
• Settings Tips:
• Lower Values (e.g., 7): More sensitive to price changes, ideal for quick trades.
• Higher Values (e.g., 20): Smooth signals for more stable markets.
6. RSI Overbought (70) and Oversold (30) Levels
• Purpose: Marks thresholds for overbought and oversold conditions.
• Settings Tips:
• Stricter Levels (e.g., 80/20): Fewer, higher-quality signals.
• Looser Levels (e.g., 65/35): More frequent signals, suitable for active trading.
7. Pivot Left Bars (5) and Pivot Right Bars (5)
• Purpose: Confirms pivot points (support/resistance) based on surrounding candles.
• Settings Tips:
• Higher Values (e.g., 10): Stronger but less frequent pivot points.
• Lower Values: More responsive, for traders seeking quick pivots.
8. Take Profit Percentage (Default: 2%)
• Purpose: Defines the profit level to exit trades.
• Settings Tips:
• Higher Values (e.g., 5%): For swing traders holding positions longer.
• Lower Values (e.g., 1%): For scalpers focusing on quick trades.
9. Minimum Volume (Default: 1,000,000)
• Purpose: Ensures sufficient liquidity for trading.
• Settings Tips:
• Lower Values: For lower-volume markets.
• Higher Values: Reduces risk in high-liquidity assets.
10. Stop Loss Percentage (Default: 1%)
• Purpose: Sets the maximum acceptable loss per trade.
• Settings Tips:
• Lower Values (e.g., 0.5%): Reduces risk, suited for conservative trading.
• Higher Values (e.g., 2%): Allows more price fluctuation, ideal for volatile markets.
11. Entry Conditions
• Options:
• MA Crossover & RSI: Combines trend-following and momentum for well-rounded signals.
• Pivot Breakout: Focuses on support/resistance breakouts for high-impact trades.
• Settings Tips:
• Trend-Following Traders: Use MA Crossover & RSI.
12. Exit Conditions
• Options:
• Opposite Signal: Exits when the trade’s opposite condition occurs (e.g., bullish to bearish).
• Fixed Take Profit/Stop Loss: Exits based on predefined profit/loss thresholds.
• Settings Tips:
• Opposite Signal: Ideal for trend-following strategies.
Summary
Customizing these settings aligns the strategy with your trading goals. Test configurations in a demo environment before live trading to refine the approach and optimize results. Always balance profit potential with risk management.
• Fixed Levels: Better for strict risk management.
• Breakout Traders: Opt for Pivot Breakout.
Bear Market LevelMarks the bear market level. Calculated as 20% drop from highs. Useful on indices to determine technical Bull or Bear markets.
BTC Mercenary ModelBitcoin Market Cycle Evaluation Using Subjective Z-Scores
Introduction:
I've crafted a unique indicator for Bitcoin that synthesizes multiple market indicators into a single, actionable Z-score, aiming to offer insights into the current market cycle phase. Here's the methodology:
Methodology:
Alpha Validation: Each component indicator has been tested for its predictive power (alpha) against Bitcoin's market cycle peaks and troughs from at least the last two cycles. This ensures each indicator contributes meaningfully to our model.
Z-Score Synthesis: By converting each indicator's value into a Z-score, we normalize their contributions. The average of these Z-scores provides a refined signal, indicating whether Bitcoin is in an overbought or oversold state relative to historical norms.
Features:
Individual Indicator Customization: Users can tweak inputs to optimize each indicator's alpha, enhancing the model's predictive accuracy.
Historical Averages: The script provides visibility into how both technical and fundamental indicators have scored in the past, offering a benchmark for current conditions.
ROC Flexibility: Adjust the Rate of Change (ROC) period to suit your analysis timeframe, allowing for more personalized market cycle interpretation.
Indicators Integrated:
Fundamental:
MVRV (Market Value to Realized Value) - Measures market sentiment vs. actual value.
Bitcoin Thermocap - Relates Bitcoin's market cap to its transaction volume.
NUPL (Net Unrealized Profit/Loss) - Indicates holder's profit or loss status.
CVDD (Coin Days Destroyed) - Shows the movement of long-held coins.
SOPR (Spent Output Profit Ratio) - Highlights whether coins are being spent at a profit or loss.
Technical:
RSI (Relative Strength Index) - Identifies overbought/oversold conditions.
CCI (Commodity Channel Index) - Detects cyclical turns in Bitcoin's price.
Multiple Moving Averages - For trend analysis over various time frames.
Sharpe Ratio - Evaluates risk-adjusted return.
Pi Cycle Indicator - Predicts cycle tops based on moving average crossovers.
Hodrick-Prescott Filter - Separates trend from cycle in price data.
VWAP (Volume Weighted Average Price) - Provides a trading benchmark.
How It Works Together:
This model uses a weighted average of Z-scores from these indicators to give a comprehensive view of Bitcoin's market cycle. The Z-scores are not just summed but considered in context; for example, when fundamental indicators like MVRV suggest an overvaluation while technical ones like RSI indicate a near-term correction, the model's output reflects this nuanced interaction.
Future Developments:
The next step is to include sentiment analysis, potentially from social media or news sentiment, to further refine our cycle predictions.
Chart Example:
Symbol/Timeframe: BTCUSD on a daily chart.
Script Name: Bitcoin Cycle Z-Score Evaluator
Feedback Encouraged:
I'm eager to receive feedback on how this model could be further tailored or expanded for better market insights.
-CM
Key Intraday Range Analysis - K.I.R.A. The KIRA Indicator is a unique tool designed to provide traders with actionable insights by identifying and analyzing key intraday price ranges. Built upon a specialized methodology, it uses Fibonacci-derived levels anchored to significant opening ranges to generate trading levels for the day. Unlike other indicators that focus on broader trend analysis, KIRA’s approach provides precision, simplicity, and adaptability for intraday traders.
How It Works
KIRA takes the first 30-second range of the European market open and calculates Fibonacci projections derived solely from the golden ratio. These projections form potential areas of interest, such as support and resistance levels, that guide traders in their decision-making process.
By visualizing these levels directly on the chart, KIRA simplifies intraday trading, helping traders identify key reaction zones with high clarity.
Key Features:
-Clean and Readable Output: Generates easily identifiable levels directly on a clear chart to reduce visual clutter.
-Dynamic and Adaptive: Works across various assets, including indices, forex, and commodities, while maintaining reliability on lower timeframes.
How to Use
1. Set Up: Ensure your chart timeframe is aligned with intraday trading, ideally 1-minute or 5-minute intervals.
2. Monitor Levels: Observe how price reacts to the projected levels generated from the opening range.
3. Strategize: Use these levels as potential entries, exits, or areas to tighten risk management, depending on price action.
Unlike conventional indicators that reuse public domain methodologies or classic technical analysis tools, KIRA is based on a nuanced approach to anchoring Fibonacci projections. Its uniqueness lies in its precise application of golden ratio derivatives, specifically tailored to intraday price movements.
The chart accompanying this script provides a clean visualization of the KIRA levels applied to a 1-minute chart of . All outputs are directly from the KIRA script to ensure clarity and ease of use.
Normalized Price ComparisonNormalized Price Comparison Indicator Description
The "Normalized Price Comparison" indicator is designed to provide traders with a visual tool for comparing the price movements of up to three different financial instruments on a common scale, despite their potentially different price ranges. Here's how it works:
Features:
Normalization: This indicator normalizes the closing prices of each symbol to a scale between 0 and 1 over a user-defined period. This normalization process allows for the comparison of price trends regardless of the absolute price levels, making it easier to spot relative movements and trends.
Crossing Alert: It features an alert functionality that triggers when the normalized price lines of the first two symbols (Symbol 1 and Symbol 2) cross each other. This can be particularly useful for identifying potential trading opportunities when one asset's relative performance changes against another.
Customization: Users can input up to three symbols for analysis. The normalization period can be adjusted, allowing flexibility in how historical data is considered for the scaling process. This period determines how many past bars are used to calculate the minimum and maximum prices for normalization.
Visual Representation: The indicator plots these normalized prices in a separate pane below the main chart. Each symbol's normalized price is represented by a distinct colored line:
Symbol 1: Blue line
Symbol 2: Red line
Symbol 3: Green line
Use Cases:
Relative Performance Analysis: Ideal for investors or traders who want to compare how different assets are performing relative to each other over time, without the distraction of absolute price differences.
Divergence Detection: Useful for spotting divergences where one asset might be outperforming or underperforming compared to others, potentially signaling changes in market trends or investment opportunities.
Crossing Strategy: The alert for when Symbol 1 and Symbol 2's normalized lines cross can be used as a part of a trading strategy, signaling potential entry or exit points based on relative price movements.
Limitations:
Static Alert Messages: Due to Pine Script's constraints, the alert messages cannot dynamically include the names of the symbols being compared. The alert will always mention "Symbol 1" and "Symbol 2" crossing.
Performance: Depending on the timeframe and the number of symbols, performance might be affected, especially on lower timeframes with high data frequency.
This indicator is particularly beneficial for those interested in multi-asset analysis, offering a streamlined way to observe and react to relative price movements in a visually coherent manner. It's a powerful tool for enhancing your trading or investment analysis by focusing on trends and relationships rather than raw price data.