KLEO TDIKLEO TDI - Traders Dynamic Index Indicator
Description:
The KLEO TDI (Traders Dynamic Index) is a technical indicator designed to help traders analyze market momentum, volatility, and trend direction using a combination of the Relative Strength Index (RSI), moving averages, and volatility bands. This tool provides a comprehensive view of market conditions, making it useful for identifying potential trade opportunities.
Key Features:
✅ RSI-Based Analysis – Uses a customizable RSI period to measure momentum and overbought/oversold conditions.
✅ Volatility Bands – Upper and lower bands are calculated based on a moving average of the RSI and a volatility offset, helping traders assess market strength.
✅ Moving Averages on RSI – Includes a fast and slow moving average to track trend direction and potential crossovers.
✅ Key RSI Levels – Displays horizontal lines at 32 (oversold), 50 (midline), and 68 (overbought) for better trade decision-making.
✅ Customizable Inputs – Allows traders to modify RSI period, band length, and moving average settings to fit their trading strategy.
Note:
This indicator is not an automatic buy or sell signal but a tool for analyzing market conditions. It should be used alongside a well-defined trading strategy and proper risk management.
Penunjuk dan strategi
Trading Sessions + Bitmex LLVWMA5 Trading Sessions + Liquidation Levels
Adjust the settings to your liking
Profit
Quarterly Theory ICT 02 [TradingFinder] True Open Session 90 Min🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system built on ICT (Inner Circle Trader) concepts and fractal time. It divides time into four quarters (Q1, Q2, Q3, Q4), and is designed based on the consistent repetition of these phases across all trading timeframes (annual, monthly, weekly, daily, and even shorter trading sessions).
Each cycle consists of four distinct phases: the first phase (Q1) is the Accumulation phase, characterized by price consolidation; the second phase (Q2), known as Manipulation or Judas Swing, is marked by initial false movements indicating a potential shift; the third phase (Q3) is Distribution, where price volatility peaks; and the fourth phase (Q4) is Continuation/Reversal, determining whether the previous trend continues or reverses.
🔵 How to Use
The central concept of this strategy is the "True Open," which refers to the actual starting point of each time cycle. The True Open is typically defined at the beginning of the second phase (Q2) of each cycle. Prices trading above or below the True Open serve as a benchmark for predicting the market's potential direction and guiding trading decisions.
The practical application of the Quarterly Theory strategy relies on accurately identifying True Open points across various timeframes.
True Open points are defined as follows :
Yearly Cycle :
Q1: January, February, March
Q2: April, May, June (True Open: April Monthly Open)
Q3: July, August, September
Q4: October, November, December
Monthly Cycle :
Q1: First Monday of the month
Q2: Second Monday of the month (True Open: Daily Candle Open price on the second Monday)
Q3: Third Monday of the month
Q4: Fourth Monday of the month
Weekly Cycle :
Q1: Monday
Q2: Tuesday (True Open: Daily Candle Open Price on Tuesday)
Q3: Wednesday
Q4: Thursday
Daily Cycle :
Q1: 18:00 - 00:00 (Asian session)
Q2: 00:00 - 06:00 (True Open: Start of London Session)
Q3: 06:00 - 12:00 (NY AM)
Q4: 12:00 - 18:00 (NY PM)
90 Min Asian Session :
Q1: 18:00 - 19:30
Q2: 19:30 - 21:00 (True Open at 19:30)
Q3: 21:00 - 22:30
Q4: 22:30 - 00:00
90 Min London Session :
Q1: 00:00 - 01:30
Q2: 01:30 - 03:00 (True Open at 01:30)
Q3: 03:00 - 04:30
Q4: 04:30 - 06:00
90 Min New York AM Session :
Q1: 06:00 - 07:30
Q2: 07:30 - 09:00 (True Open at 07:30)
Q3: 09:00 - 10:30
Q4: 10:30 - 12:00
90 Min New York PM Session :
Q1: 12:00 - 13:30
Q2: 13:30 - 15:00 (True Open at 13:30)
Q3: 15:00 - 16:30
Q4: 16:30 - 18:00
Micro Cycle (22.5-Minute Quarters) : Each 90-minute quarter is further divided into four 22.5-minute sub-segments (Micro Sessions).
True Opens in these sessions are defined as follows :
Asian Micro Session :
True Session Open : 19:30 - 19:52:30
London Micro Session :
T rue Session Open : 01:30 - 01:52:30
New York AM Micro Session :
True Session Open : 07:30 - 07:52:30
New York PM Micro Session :
True Session Open : 13:30 - 13:52:30
By accurately identifying these True Open points across various timeframes, traders can effectively forecast the market direction, analyze price movements in detail, and optimize their trading positions. Prices trading above or below these key levels serve as critical benchmarks for determining market direction and making informed trading decisions.
🔵 Setting
Show True Range : Enable or disable the display of the True Range on the chart, including the option to customize the color.
Extend True Range Line : Choose how to extend the True Range line on the chart, with the following options:
None: No line extension
Right: Extend the line to the right
Left: Extend the line to the left
Both: Extend the line in both directions (left and right)
Show Table : Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info : Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
The Quarterly Theory ICT, by dividing time into four distinct quarters (Q1, Q2, Q3, and Q4) and emphasizing the concept of the True Open, provides a structured and repeatable framework for analyzing price action across multiple time frames.
The consistent repetition of phases—Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal—allows traders to effectively identify recurring price patterns and critical market turning points. Utilizing the True Open as a benchmark, traders can more accurately determine potential directional bias, optimize trade entries and exits, and manage risk effectively.
By incorporating principles of ICT (Inner Circle Trader) and fractal time, this strategy enhances market forecasting accuracy across annual, monthly, weekly, daily, and shorter trading sessions. This systematic approach helps traders gain deeper insight into market structure and confidently execute informed trading decisions.
KLEO BTMMKLEO BTMM - Multi-Tool Trading Indicator
Description:
This indicator is designed to assist traders in technical analysis by combining exponential moving averages (EMA), the average daily range (ADR), previous day's high and low levels, pivot points, and the visual representation of different trading sessions.
Key Features:
✅ Customizable EMAs – Supports up to 5 exponential moving averages to identify trends.
✅ Previous Day’s Highs and Lows – Identifies key price levels for support and resistance.
✅ ADR (Average Daily Range) – Calculates the average daily range to understand potential price movements.
✅ Trading Session Visualization – Displays the London session to aid in market structure and liquidity analysis.
✅ Pivot Points – Automatically calculates and plots pivot levels, including support (S1, S2) and resistance (R1, R2) levels, along with midpoints for a deeper market insight.
Note:
This script is not an automatic buy or sell signal but a tool to assist traders in making informed decisions. Users should combine it with their own trading strategies and risk management practices.
The purpose of this script is to support all traders who use the BTMM strategy and need these indicators—just like me, as I am a BTMM trader.
Avi - Trendlines EnhancedDeveloped from open-source code by © pikusov (Diagonal Supports and Resistances), this indicator provides traders with a robust and visually intuitive method to identify and monitor key support and resistance levels. Its ability to check for multiple test touches, combined with dynamic updates, customizable visuals, and integrated alert systems, makes it an effective tool for comprehensive technical market analysis.
This advanced TradingView Pine Script indicator dynamically detects and draws support and resistance trendlines based on historical pivot points while also checking for multiple test touches. Here’s a detailed summary of its functionality:
Customizable Trendline Detection:
Historical Analysis: Users specify the number of historical bars to examine for identifying pivot points, enabling a deep scan for reliable support and resistance levels.
Pivot Lookback Settings: The primary pivot lookback period (x1) is user-defined, with a secondary period (x2) calculated as half of x1, allowing the indicator to capture both local lows and highs accurately.
Dynamic Trendline Construction and Multiple Test Validation:
Iterative Pivot Pairing: The script uses nested loops to identify pairs of pivot points (lows for support, highs for resistance) and calculates an interpolated price along the line connecting these pivots.
Testing and Updating Trendlines:
The indicator continuously checks whether the price respects the drawn trendlines.
It verifies if the trendlines have been tested multiple times by iterating through historical bars, ensuring that the level holds up under repeated tests.
When a level is retested, the trendline is updated and a test counter is incremented, thereby reinforcing the significance of the support or resistance level.
Visual Customization Options:
Line Appearance: Users can tailor the trendlines with customizable thickness, dash patterns (solid, dotted, or dashed), and specific colors for support and resistance lines.
Label Settings: Labels display the precise price levels (and optionally the number of tests), with configurable sizes and styles, offering clear visual cues on the chart.
Alerting and Confirmation Mechanisms:
Breakout Alerts: The script triggers alerts when the price action breaches a trendline. It differentiates between standard alerts and those that are volume-confirmed—where the volume exceeds a set multiple of the average—thus minimizing false signals.
RSI-Based Bar Coloring: When enabled, the Relative Strength Index (RSI) is computed, and bars at trendline test points are color-coded (dark red for overbought and dark green for oversold conditions), providing immediate visual feedback on market momentum.
Supporting Analytical Tools:
Pivot Labels: The indicator can display pivot labels using built-in functions, marking key pivot highs and lows with their corresponding price values.
Moving Averages: Two customizable moving averages (fast and slow) can be plotted (using either SMA or EMA), helping to contextualize the trendlines within the broader market trend.
Efficient Object Management:
Array-Based Storage and Cleanup: Arrays are used to store drawn objects (lines and labels), and a cleanup routine ensures that outdated objects are removed with every new bar, keeping the chart clutter-free.
Helper Functions: Utility functions such as price_at for interpolating prices along the trendline and round_to_tick for rounding values enhance the script’s precision and usability.
Hit-That_Mark IndicatorBased on calculations involving sequential lookbacks and their relations to averages.
So basically a sentiment momentum detector...works pretty decent.
Avi - TablesThe "Avi - Tables" indicator is a comprehensive tool designed to display a wealth of technical information directly on your TradingView chart using dynamic tables and visual elements. It combines multiple analysis techniques and multi-timeframe metrics into an easy-to-read layout. Key features include:
Moving Averages & VWMA:
The indicator calculates up to six user-configurable moving averages (with options for both SMA and EMA) and a 20-period Volume-Weighted Moving Average (VWMA). It plots these averages on the chart and computes the percentage difference between the current price and each moving average. It also checks if the price has touched these levels.
ATR and Volatility:
A 14-period Average True Range (ATR) is calculated and expressed as a percentage of the close price, providing a measure of market volatility.
Volume Analysis:
Using daily volume data and a user-defined volume period, the indicator computes the relative volume (RVOL) as a multiple compared to the average volume. It estimates the full-day volume based on the elapsed trading day and compares it with the previous day’s volume, applying conditional formatting based on these comparisons.
Pressure Metrics:
The script calculates buyer and seller pressure based on price movement and volume, determining the dominant pressure (BP or SP) and displaying the result with corresponding color cues.
Multi-Timeframe Analysis Table:
Users can select various timeframes (15-min, 1-hour, 4-hour, daily, weekly, and monthly) for additional indicators such as MACD, ADX, CCI, and RSI. Each timeframe’s data is displayed in a dedicated table cell, with colors and text dynamically indicating bullish, bearish, or neutral conditions.
Customizable Tables & Layout:
The indicator provides several inputs for table positioning, text size, and layout options—including an option to flip the table rows and columns—allowing you to customize the display to best suit your chart and analysis needs.
Pivot Points & Gap Analysis:
Beyond the tables, the script includes functionality for detecting pivot highs and lows as well as identifying chart gaps. It draws labels for pivot points and, in an optional section, detects and manages gaps (with partial or full closures) and triggers alerts when new gaps appear or are closed.
Overall, "Avi - Tables" is designed to deliver a multi-layered view of the market —from moving averages and volatility to volume dynamics and multi-timeframe indicator signals—all organized neatly into customizable tables. This makes it a powerful resource for traders seeking an integrated and visually intuitive technical analysis tool.
Avi - 8 MAMoving Averages (MA) Section
User Inputs:
The script lets you enable/disable and configure eight different moving averages. For each MA, you can choose:
The type: Simple Moving Average (SMA) or Exponential Moving Average (EMA)
The period (length)
The color used for plotting
Calculation:
A custom function (maFunc) calculates the MA value based on the selected type and length. Each moving average (from MA 1 to MA 8) is computed accordingly and then plotted on the chart.
2. EMA Cloud
Inputs:
There are inputs for a "Fast EMA" (default 8) and a "Slow EMA" (default 21).
Calculation & Plotting:
The script calculates the 8-period and 21-period EMAs. Although these EMAs are not directly plotted (they’re set with display.none), they are used to determine the market condition:
If the fast EMA is above the slow EMA, the area between them is filled with a greenish color.
If the fast EMA is below the slow EMA, the fill color turns reddish.
3. Buyer/Seller Pressure & ATR Calculations
Price Difference:
The script computes the difference between the close and open prices (as well as the percentage difference), which can be used as a measure of buyer vs. seller pressure.
ATR (Average True Range):
A 14-period ATR is calculated and then expressed as a percentage of the current close price. This gives a sense of volatility relative to the price level.
4. Volume Metrics & Relative Volume
Daily Volume & Averages:
The script retrieves daily volume data and computes a moving average for volume over a configurable length (default 20).
Relative Volume:
It calculates:
The average volume for the current period.
A relative volume multiplier comparing current volume to its moving average.
An estimated full-day volume based on the elapsed trading time, and checks if it will exceed the previous day’s volume.
The values are then formatted (e.g., converting to millions) for easier reading.
Conditional Formatting:
A background color is set based on whether the estimated relative volume is above or below a threshold.
5. Table Display
Purpose:
A table is created (position is configurable) to display key metrics:
14-day ATR percentage
Relative volume information (as a multiple and whether it exceeds the previous day)
Price difference (absolute and percentage change)
Style:
The table cells include conditional background and text colors to highlight different market conditions.
6. Pivot Points & Labels
Pivot Calculation:
The script calculates pivot highs and lows using user-defined left/right bar lengths.
Label Drawing:
When a pivot point is detected, a label is drawn on the chart to display its value. The style and colors for these labels are also configurable by the user.
Summary
This indicator script is quite comprehensive. It not only provides multiple moving averages and an EMA cloud to help visualize trend conditions but also includes features to assess market volatility, volume dynamics, and pivot levels—all of which are displayed neatly on the chart through plots and a customizable table. The commented-out gap detection code suggests that further features could be integrated if gap analysis is required.
If you have any specific questions or need further modifications, feel free to ask!
2 days ago
Release Notes
1. Moving Averages (MA) Section
User Inputs:
The script lets you enable/disable and configure eight different moving averages. For each MA, you can choose:
The type: Simple Moving Average (SMA) or Exponential Moving Average (EMA)
The period (length)
The color used for plotting
Calculation:
A custom function (maFunc) calculates the MA value based on the selected type and length. Each moving average (from MA 1 to MA 8) is computed accordingly and then plotted on the chart.
2. EMA Cloud
Inputs:
There are inputs for a "Fast EMA" (default 8) and a "Slow EMA" (default 21).
Calculation & Plotting:
The script calculates the 8-period and 21-period EMAs. Although these EMAs are not directly plotted (they’re set with display.none), they are used to determine the market condition:
If the fast EMA is above the slow EMA, the area between them is filled with a greenish color.
If the fast EMA is below the slow EMA, the fill color turns reddish.
3. Buyer/Seller Pressure & ATR Calculations
Price Difference:
The script computes the difference between the close and open prices (as well as the percentage difference), which can be used as a measure of buyer vs. seller pressure.
ATR (Average True Range):
A 14-period ATR is calculated and then expressed as a percentage of the current close price. This gives a sense of volatility relative to the price level.
4. Volume Metrics & Relative Volume
Daily Volume & Averages:
The script retrieves daily volume data and computes a moving average for volume over a configurable length (default 20).
Relative Volume:
It calculates:
The average volume for the current period.
A relative volume multiplier comparing current volume to its moving average.
An estimated full-day volume based on the elapsed trading time, and checks if it will exceed the previous day’s volume.
The values are then formatted (e.g., converting to millions) for easier reading.
Conditional Formatting:
A background color is set based on whether the estimated relative volume is above or below a threshold.
5. Table Display
Purpose:
A table is created (position is configurable) to display key metrics:
14-day ATR percentage
Relative volume information (as a multiple and whether it exceeds the previous day)
Price difference (absolute and percentage change)
Style:
The table cells include conditional background and text colors to highlight different market conditions.
6. Pivot Points & Labels
Pivot Calculation:
The script calculates pivot highs and lows using user-defined left/right bar lengths.
Label Drawing:
When a pivot point is detected, a label is drawn on the chart to display its value. The style and colors for these labels are also configurable by the user.
Summary
This indicator script is quite comprehensive. It not only provides multiple moving averages and an EMA cloud to help visualize trend conditions but also includes features to assess market volatility, volume dynamics, and pivot levels—all of which are displayed neatly on the chart through plots and a customizable table. The commented-out gap detection code suggests that further features could be integrated if gap analysis is required.
If you have any specific questions or need further modifications, feel free to ask.
Avi - Live 20 ChecklistThis indicator, called "Live 20 Checklist", is a comprehensive TradingView tool that consolidates multiple technical analysis metrics into one dynamic display. It’s designed to help traders quickly assess market conditions by providing a real-time checklist of key indicators.
Key Features:
Moving Averages & Reversion Signals:
It calculates a primary moving average (with a customizable length and type, either SMA or EMA) and measures the percentage difference between the current price and this average. By comparing this difference over a lookback period, the script generates bullish or bearish reversion signals when the price deviates significantly from the average.
Trend Analysis:
The indicator uses linear regression over user-defined short-term and long-term periods to determine the overall price trend direction. This helps in identifying whether the market is in a bullish or bearish phase over different timeframes.
CCI (Commodity Channel Index):
It computes the CCI to gauge momentum and potential overbought/oversold conditions, with color-coded outputs reflecting the strength of the current momentum.
Volume Metrics:
Volume trends are analyzed by comparing current volume to both short-term and long-term moving averages. It also estimates the full-day volume based on the elapsed time in the trading session and compares it to the previous day’s volume, presenting this as a relative volume (RVOL) multiple.
Gap Detection:
The script scans historical bars to detect bullish and bearish gaps, drawing lines on the chart to visually highlight these gaps. It further identifies the “closest gap” relative to the current price.
Candlestick Pattern Recognition:
A variety of candlestick patterns (such as bullish/bearish engulfing, doji, hammers, marubozu, and more) are detected, with the current pattern highlighted in the table and background color adjusted accordingly.
Dynamic Table Display:
All these metrics are neatly organized in a customizable table on the chart. Traders can choose which rows to display (moving average info, trends, CCI, volume trends, gap details, candlestick patterns, ATR, RVOL, and open-close difference) and adjust the table’s position, text size, and color theme.
Additional Visual Tools:
Besides the main moving average, an extra moving average can be plotted for additional perspective. Pivot high/low labels are also available to mark key price levels, with colors that adjust based on the selected theme.
Overall, the Live 20 Checklist is a robust indicator that merges several analytical tools into one visual dashboard, enabling traders to quickly evaluate market conditions and make informed decisions.
1 hour ago
Release Notes
This indicator, called "Live 20 Checklist", is a comprehensive TradingView tool that consolidates multiple technical analysis metrics into one dynamic display. It’s designed to help traders quickly assess market conditions by providing a real-time checklist of key indicators.
Key Features:
Moving Averages & Reversion Signals:
It calculates a primary moving average (with a customizable length and type, either SMA or EMA) and measures the percentage difference between the current price and this average. By comparing this difference over a lookback period, the script generates bullish or bearish reversion signals when the price deviates significantly from the average.
Trend Analysis:
The indicator uses linear regression over user-defined short-term and long-term periods to determine the overall price trend direction. This helps in identifying whether the market is in a bullish or bearish phase over different timeframes.
CCI (Commodity Channel Index):
It computes the CCI to gauge momentum and potential overbought/oversold conditions, with color-coded outputs reflecting the strength of the current momentum.
Volume Metrics:
Volume trends are analyzed by comparing current volume to both short-term and long-term moving averages. It also estimates the full-day volume based on the elapsed time in the trading session and compares it to the previous day’s volume, presenting this as a relative volume (RVOL) multiple.
Gap Detection:
The script scans historical bars to detect bullish and bearish gaps, drawing lines on the chart to visually highlight these gaps. It further identifies the “closest gap” relative to the current price.
Candlestick Pattern Recognition:
A variety of candlestick patterns (such as bullish/bearish engulfing, doji, hammers, marubozu, and more) are detected, with the current pattern highlighted in the table and background color adjusted accordingly.
Dynamic Table Display:
All these metrics are neatly organized in a customizable table on the chart. Traders can choose which rows to display (moving average info, trends, CCI, volume trends, gap details, candlestick patterns, ATR, RVOL, and open-close difference) and adjust the table’s position, text size, and color theme.
Additional Visual Tools:
Besides the main moving average, an extra moving average can be plotted for additional perspective. Pivot high/low labels are also available to mark key price levels, with colors that adjust based on the selected theme.
Overall, the Live 20 Checklist is a robust indicator that merges several analytical tools into one visual dashboard, enabling traders to quickly evaluate market conditions and make informed decisions.
1 hour ago
Release Notes
This indicator, called "Live 20 Checklist", is a comprehensive TradingView tool that consolidates multiple technical analysis metrics into one dynamic display. It’s designed to help traders quickly assess market conditions by providing a real-time checklist of key indicators.
Key Features:
Moving Averages & Reversion Signals:
It calculates a primary moving average (with a customizable length and type, either SMA or EMA) and measures the percentage difference between the current price and this average. By comparing this difference over a lookback period, the script generates bullish or bearish reversion signals when the price deviates significantly from the average.
Trend Analysis:
The indicator uses linear regression over user-defined short-term and long-term periods to determine the overall price trend direction. This helps in identifying whether the market is in a bullish or bearish phase over different timeframes.
CCI (Commodity Channel Index):
It computes the CCI to gauge momentum and potential overbought/oversold conditions, with color-coded outputs reflecting the strength of the current momentum.
Volume Metrics:
Volume trends are analyzed by comparing current volume to both short-term and long-term moving averages. It also estimates the full-day volume based on the elapsed time in the trading session and compares it to the previous day’s volume, presenting this as a relative volume (RVOL) multiple.
Gap Detection:
The script scans historical bars to detect bullish and bearish gaps, drawing lines on the chart to visually highlight these gaps. It further identifies the “closest gap” relative to the current price.
Candlestick Pattern Recognition:
A variety of candlestick patterns (such as bullish/bearish engulfing, doji, hammers, marubozu, and more) are detected, with the current pattern highlighted in the table and background color adjusted accordingly.
Dynamic Table Display:
All these metrics are neatly organized in a customizable table on the chart. Traders can choose which rows to display (moving average info, trends, CCI, volume trends, gap details, candlestick patterns, ATR, RVOL, and open-close difference) and adjust the table’s position, text size, and color theme.
Additional Visual Tools:
Besides the main moving average, an extra moving average can be plotted for additional perspective. Pivot high/low labels are also available to mark key price levels, with colors that adjust based on the selected theme.
Overall, the Live 20 Checklist is a robust indicator that merges several analytical tools into one visual dashboard, enabling traders to quickly evaluate market conditions and make informed decisions.
7 minutes ago
Release Notes
This indicator, called "Live 20 Checklist", is a comprehensive TradingView tool that consolidates multiple technical analysis metrics into one dynamic display. It’s designed to help traders quickly assess market conditions by providing a real-time checklist of key indicators.
Key Features:
Moving Averages & Reversion Signals:
It calculates a primary moving average (with a customizable length and type, either SMA or EMA) and measures the percentage difference between the current price and this average. By comparing this difference over a lookback period, the script generates bullish or bearish reversion signals when the price deviates significantly from the average.
Trend Analysis:
The indicator uses linear regression over user-defined short-term and long-term periods to determine the overall price trend direction. This helps in identifying whether the market is in a bullish or bearish phase over different timeframes.
CCI (Commodity Channel Index):
It computes the CCI to gauge momentum and potential overbought/oversold conditions, with color-coded outputs reflecting the strength of the current momentum.
Volume Metrics:
Volume trends are analyzed by comparing current volume to both short-term and long-term moving averages. It also estimates the full-day volume based on the elapsed time in the trading session and compares it to the previous day’s volume, presenting this as a relative volume (RVOL) multiple.
Gap Detection:
The script scans historical bars to detect bullish and bearish gaps, drawing lines on the chart to visually highlight these gaps. It further identifies the “closest gap” relative to the current price.
Candlestick Pattern Recognition:
A variety of candlestick patterns (such as bullish/bearish engulfing, doji, hammers, marubozu, and more) are detected, with the current pattern highlighted in the table and background color adjusted accordingly.
Dynamic Table Display:
All these metrics are neatly organized in a customizable table on the chart. Traders can choose which rows to display (moving average info, trends, CCI, volume trends, gap details, candlestick patterns, ATR, RVOL, and open-close difference) and adjust the table’s position, text size, and color theme.
Additional Visual Tools:
Besides the main moving average, an extra moving average can be plotted for additional perspective. Pivot high/low labels are also available to mark key price levels, with colors that adjust based on the selected theme.
Overall, the Live 20 Checklist is a robust indicator that merges several analytical tools into one visual dashboard, enabling traders to quickly evaluate market conditions and make informed decisions.
Cumulative New Highs - New Lows IndicatorThis indicator is designed to track market momentum by calculating and plotting the cumulative sum of 52 weeks High-Low for different indices, alongside a customizable moving average.
Index Selection:
Users can choose from multiple indices, including:
Total Stock Market (default)
NYSE Composite
Nasdaq Composite
S&P 500
Nasdaq 100
Russell 2000
Moving Average Customization:
The script allows you to select between a Simple Moving Average (SMA) or an Exponential Moving Average (EMA) for smoothing the cumulative data. The window length of the moving average is also adjustable, letting you tailor the sensitivity of the trend analysis.
Dynamic Background Plotting:
With the background plot option enabled, the indicator changes the chart's background color dynamically:
Green: When the cumulative sum is above its moving average, suggesting bullish momentum.
Red: When it is below the moving average, indicating bearish conditions.
Visual Representation:
Two key lines are plotted:
Cumulative Index Line: Displayed in a subtle blue, representing the aggregated market movement.
Moving Average Line: Shown in an orange tone, offering a smoothed perspective that aids in identifying trend shifts.
Inspiration:
I took inspiration from the indicator made by YoxTrades (I can't put links, but you can check their profile) and added a few features I wanted on top of it.
Futures Spread TableСчитает спреды с вечными фьючами на моексе.
Все валютные пары. Акции с вечными. Моекс.
Consolidation Zones [ActiveQuants]The Consolidation Zones indicator is an innovative tool designed to help traders pinpoint periods of low volatility and market balance . By dynamically plotting zones where price action remains confined within an ATR-defined range around a simple moving average (SMA), this indicator highlights periods of consolidation that often precede breakouts or reversals .
█ KEY FEATURES
Dynamic Zone Detection : Automatically identifies consolidation zones when the price remains within a tight range defined by the SMA and ATR over a specified number of bars, signaling balanced market conditions.
Customizable Parameters : Adjust key inputs such as Minimum Zone Length , ATR Length , the number of bars to display, and zone color, enabling you to tailor the indicator to various market conditions and trading styles.
Automated Zone Management : Efficiently plots consolidation zones and cleans up older ones to maintain a clear and focused chart, ensuring you always have an up-to-date view of recent market behavior.
Enhanced Market Analysis : By visualizing areas of price stability, the indicator aids in spotting potential breakout or reversal points, which can be critical for fine-tuning entry and exit strategies.
█ CONCLUSION
The Consolidation Zones indicator is an essential tool for traders who value volatility analysis and precision timing. By marking key periods of price consolidation, it enhances your market analysis, helping you anticipate potential moves and refine your trading strategy.
█ IMPORTANT
⚠ Consolidation signals should be used alongside other technical indicators or analysis techniques such as trend lines, support/resistance levels, or volume to confirm trading decisions.
⚠ Adjust the indicator’s settings based on your preferred timeframe and asset class to achieve the best results.
█ RISK DISCLAIMER
Trading involves significant risk, and you may lose capital. Past performance is not indicative of future results. This tool provides informational signals only and does not constitute financial advice. Use it at your own risk and consult a qualified financial professional before making trading decisions.
Incorporate this indicator into your trading workflow to improve market timing and optimize your entry and exit strategies.
📈 Happy trading! 🚀
SGK Check listSGK Checklist Indicator User Manual
Indicator created by Swanand Kulkarni
# Index
## Overview
## Core Concepts
- Multi-Timeframe Analysis
- Trading Condition Categories
- Alert System
## Technical Indicators Used
- Price Action
- Momentum
- Volume
## Detailed Logic for Signal Checklist
- Buy Momentum Signals
- Buy Swing Signals
- Sell Momentum Signals
- Sell Swing Signals
## Customization Options
- Indicator Settings
- EMA Settings
- MACD Settings
- Timeframe Settings
- Visual Settings
- Table Settings
## How to Use the Indicator
- Setting Up
- Reading the Checklist
## Trading Strategies Based on the Indicator
- Momentum Trading
- Swing Trading
- Trend Following
- Confirmation Strategy
## Tips for Optimal Use
## Example Scenarios
- Strong Buy Setup
- Early Buy Signal
- Strong Sell Setup
- Early Sell Signal
## Conclusion
Overview
The SGK Checklist is a comprehensive multi-timeframe trading system designed to identify potential trading opportunities by analyzing various technical indicators across different timeframes. Using a visual checklist interface, it helps traders identify market trends, momentum and swing trade setups, and entry/exit points.
This indicator provides a systematic approach to analyzing market conditions by:
• Analyzing multiple technical indicators simultaneously
• Comparing conditions across three different timeframes
• Alerting traders when significant signal thresholds are met
• Organizing signals into specific trade setup categories
Core Concepts
Multi-Timeframe Analysis
The indicator utilizes a "MTF" framework that analyzes three timeframes simultaneously:
1. Ripple (Lower Timeframe) - Short-term price movements; default: 4H (240min)
2. Wave (Current Timeframe) - Medium-term trend; default: Daily (D)
3. Tide (Higher Timeframe) - Long-term market direction; default: Weekly (W)
This multi-timeframe approach helps traders align with the overall market direction (tide), identify the intermediate trend (wave), and time entries or exits (ripple).
Trading Condition Categories
The indicator organizes trading conditions into four main categories:
1. Buy Momentum - Strong bullish signals indicating potential for aggressive buying
2. Buy Swing - Early bullish signals indicating potential for trend reversal upward
3. Sell Momentum - Strong bearish signals indicating potential for aggressive selling
4. Sell Swing - Early bearish signals indicating potential for trend reversal downward
Alert System
The checklist features a sophisticated visual alert system:
1. Gold Highlighting - Conditions met across all three timeframes are highlighted in gold color.
2. Lightning Bolt Indicators - Category headers display lightning bolts (⚡) when significant percentages of conditions are met:
o One bolt (⚡) when 60% or more conditions are met
o Two bolts (⚡⚡) when 80% or more conditions are met
o Three bolts (⚡⚡⚡) when 100% of conditions are met
3. Color Flickering - Category headers flash with gold color when above thresholds (brightness increases with higher percentage).
4. MACD Logic
o BUY - MACD Rising + PCO, you will get TICK and if MACD is above ZERO line, you will get ‘TICK + UP ARROW’.
o SELL - MACD Falling + NCO, you will get TICK and if MACD is below ZERO line, you will get ‘TICK + DOWN ARROW’.
Technical Indicators Used
The indicator analyzes the following technical signals:
Price Action
• Bollinger Bands - Price challenging upper/lower bands and band direction/concavity
• Moving Averages - EMA configurations and crossover patterns
Momentum
• RSI (Relative Strength Index) - Overbought/oversold conditions
• ADX (Average Directional Index) - Trend strength
• MACD - Trend direction and momentum
Volume
• Volume Relative to Moving Average - Confirmation of price movement with volume
Detailed Logic for Signal Checklist
Buy Momentum Signals.
1. BB Challenge Up - Price testing or breaking above upper Bollinger Band
2. MACD Rising + PCO - MACD rising and Fast EMA above Slow EMA
3. RSI > 60 - RSI above 60, indicating strength
4. ADX > 12 - ADX above 12, indicating significant trend
5. Volume > MA - Volume above its moving average
6. EMA Configuration - Fast EMA > Medium EMA > Slow EMA (5>13>26 by default)
Buy Swing Signals
1. Lower BB Up - Lower Bollinger Band turning upward (concave up)
2. MACD Rising + PCO - MACD rising and Fast EMA above Slow EMA
3. RSI > 40 - RSI above 40, indicating potential strength building
4. Volume > MA - Volume above its moving average
5. EMA Configuration - Fast EMA > Medium EMA > Slow EMA (5>13>26 by default)
Sell Momentum Signals
1. BB Challenge Down - Price testing or breaking below lower Bollinger Band
2. MACD Falling + NCO - MACD falling and Fast EMA below Slow EMA
3. RSI < 40 - RSI below 40, indicating weakness
4. ADX > 12 - ADX above 12, indicating significant trend
5. Volume > MA - Volume above its moving average
6. EMA Configuration - Fast EMA < Medium EMA < Slow EMA (5<13<26 by default)
Sell Swing Signals
1. Upper BB Down - Upper Bollinger Band turning downward (concave down)
2. MACD Falling + NCO - MACD falling and Fast EMA below Slow EMA
3. RSI < 60 - RSI below 60, indicating potential weakness building
4. Volume > MA - Volume above its moving average
5. EMA Configuration - Fast EMA < Medium EMA < Slow EMA (5<13<26 by default)
Customization Options
The indicator offers extensive customization through the following settings categories:
Indicator Settings
• Bollinger Band Length (5-50, default: 20) - Period for Bollinger Bands calculation
• Bollinger Band Standard Deviation (0.5-4, default: 2.0) - Width of Bollinger Bands
• RSI Length (5-30, default: 14) - Period for RSI calculation
• ADX Length (5-30, default: 14) - Period for ADX calculation
• Volume MA Length (5-50, default: 20) - Period for Volume Moving Average
EMA Settings
• Fast EMA Length (1-50, default: 5) - Period for Fast EMA
• Medium EMA Length (1-100, default: 13) - Period for Medium EMA
• Slow EMA Length (1-200, default: 26) - Period for Slow EMA
MACD Settings
• MACD Fast Length (1-50, default: 12) - Fast period for MACD calculation
• MACD Slow Length (1-100, default: 26) - Slow period for MACD calculation
• MACD Signal Length (1-50, default: 9) - Signal line period for MACD
Timeframe Settings
• Ripple Timeframe - Lower timeframe (1min to Monthly)
• Wave Timeframe - Current timeframe (current or specific timeframe)
• Tide Timeframe - Higher timeframe (1min to Monthly)
Visual Settings
• First Level Alert (%) - Percentage threshold for one lightning bolt (default: 60%)
• Second Level Alert (%) - Percentage threshold for two lightning bolts (default: 80%)
• Third Level Alert (%) - Percentage threshold for three lightning bolts (default: 100%)
Table Settings
• Table Position - Where the checklist appears on chart (9 positions available)
• Table Size - Small, Medium, or Large
How to Use the Indicator
Setting Up
1. Apply the indicator to your chart
2. Configure the timeframes to match your trading style:
o Short-term traders: Consider 15m (Ripple), 1H (Wave), 4H (Tide)
o Day traders: Consider 1H (Ripple), 4H (Wave), D (Tide)
o Swing traders: Consider 4H (Ripple), D (Wave), W (Tide)
3. Adjust the technical indicator parameters if needed
4. Position and size the table for optimal viewing
Reading the Checklist
The checklist displays each condition across three timeframes with visual indicators:
• ✓ (green background): Condition is met
• ✗ (red background): Condition is not met
• Gold background for condition names: Condition is met across all three timeframes
The strength of signals is indicated by:
• The number of lightning bolts (⚡) in the category header
• The gold color flickering intensity of the category header
• The total percentage of conditions met in that category
Trading Strategies Based on the Indicator
Momentum Trading
1. Look for the "BUY MOMENTUM" or "SELL MOMENTUM" category displaying lightning bolts
2. Verify individual signals with gold background (met across all timeframes)
3. Enter in the direction of momentum when multiple conditions align
Swing Trading
1. Look for the "BUY SWING" or "SELL SWING" category displaying lightning bolts
2. Focus on early reversal signals like Bollinger Band concavity and RSI
3. Enter potential reversals early when multiple swing conditions align
Trend Following
1. Ensure the Tide and Wave timeframes show consistent signals
2. Use the Ripple timeframe for precise entry timing
3. Stay in the trade while higher timeframes maintain their signals
Confirmation Strategy
1. Wait for at least 60-80% of conditions in a category to be met (1-2 lightning bolts)
2. Look for gold backgrounds on key indicators (BB, MACD, RSI, Volume)
3. Use the higher timeframes (Tide and Wave) for trend confirmation
4. Use the lower timeframe (Ripple) for entry/exit timing
Tips for Optimal Use
1. Start with Default Settings - The default parameters are optimized for general use. Once familiar with the indicator, adjust to your specific trading style.
2. Integrate with Price Action - Use the checklist in conjunction with price action, support/resistance levels, and chart patterns.
3. Respect Timeframe Hierarchy - The highest timeframe (Tide) should dictate your overall bias (bullish/bearish).
4. Focus on Categories with Lightning Bolts - Prioritize trading setups where a category shows at least one lightning bolt (60%+ conditions met).
5. Wait for Alignment - The most robust signals occur when conditions align across all three timeframes (gold highlighting).
6. Use Progressive Entry - Consider scaling into positions as more conditions become met and lightning bolts appear.
7. Pay Attention to Flickering - The intensity of the gold flickering indicates the strength of the signal category.
8. Monitor Changes in Real-Time - Watch for conditions changing from red to green as potential early signals.
Example Scenarios
Strong Buy Setup (Momentum)
• BUY MOMENTUM shows two or three lightning bolts (⚡⚡ or ⚡⚡⚡)
• Multiple "Buy Momentum" conditions have gold backgrounds
• "BB Challenge Up" and "Volume > MA" both show checkmarks across all timeframes
• RSI > 60 on all timeframes
Early Buy Signal (Swing)
• BUY SWING shows one or two lightning bolts (⚡ or ⚡⚡)
• "Lower BB Up" and "RSI > 40" have gold backgrounds
• EMA configuration is positive in at least Wave and Tide timeframes
Strong Sell Setup (Momentum)
• SELL MOMENTUM shows two or three lightning bolts (⚡⚡ or ⚡⚡⚡)
• Multiple "Sell Momentum" conditions have gold backgrounds
• "BB Challenge Down" and "MACD Falling + NCO" show checkmarks across all timeframes
• RSI < 40 on all timeframes
Early Sell Signal (Swing)
• SELL SWING shows one or two lightning bolts (⚡ or ⚡⚡)
• "Upper BB Down" has a gold background
• EMA configuration is negative in at least Wave and Tide timeframes
Conclusion
The SGK Checklist indicator provides a comprehensive framework for analyzing market conditions across multiple timeframes. By systematically checking technical conditions and providing visual alerts, it helps traders identify potential trading opportunities with increased confidence.
The strength of this indicator lies in its ability to:
1. Organize complex market data into actionable signals
2. Provide real-time visual feedback on signal strength
3. Analyze market conditions across multiple timeframes simultaneously
4. Alert traders when significant thresholds are crossed
Remember that no indicator is perfect, and the SGK Checklist should be used as part of a complete trading system that includes risk management, proper position sizing, and additional confirmation methods when needed.
toolbox🔥 TOOLBOX - The Ultimate Trading Indicator 🔥
The Toolbox indicator is designed to provide advanced technical analysis while integrating essential risk management tools. It caters to both beginner and experienced traders, helping optimize decision-making through a combination of technical indicators and risk management strategies.
⚙️ Features & Detailed Explanation
📌 Built-in Risk Management
✅ Automatic position size calculation: Based on total capital and user-defined risk percentage per trade.
✅ Stop-Loss (SL) & Take-Profit (TP) levels display: Automatically calculated based on a customizable risk/reward ratio.
✅ Smart Break Even (BE): Option to move the stop-loss to entry price after reaching a certain profit level.
🔹 Available Settings:
Total Capital 💰: Defines the trading capital.
Risk Percentage per Trade ⚠: Adjusts position size dynamically.
TP/SL Ratio 🎯: Controls the Take-Profit based on the Stop-Loss.
Break Even Activation 🔹: Secure profits automatically.
📊 Included Technical Indicators
Toolbox combines several powerful technical indicators to identify the best market opportunities.
🔄 Exponential Moving Averages (EMA)
EMA 12 & 25: Used for crossover signals.
EMA 200: Acts as a major trend filter.
✔️ If the price is above EMA 200, the trend is bullish.
✔️ If the price is below EMA 200, the trend is bearish.
New: EMA 199 & EMA 260! 🎯
These two additional EMAs provide an independent trend filter, reducing false signals.
📈 Relative Strength Index (RSI)
A classic RSI (14-period) helps spot overbought and oversold conditions.
✔️ Potential buy when RSI crosses above 30.
✔️ Potential sell when RSI crosses below 70.
📉 Bollinger Bands (BB)
Bollinger Bands (20, 2) help identify volatility expansions and potential reversals.
✔️ A close outside the bands may indicate a reversal.
📊 MACD (Moving Average Convergence Divergence)
The MACD (12, 26, 9) detects momentum shifts in the market and confirms other indicator signals.
✔️ Bullish signal: MACD crosses above the signal line.
✔️ Bearish signal: MACD crosses below the signal line.
📉 Triple EMA (TEMA)
An advanced trend filter using TEMA 9, 21, and 50.
✔️ Crossovers between short and medium TEMA indicate momentum shifts.
🚀 Entry Signals & Graphical Display
The Toolbox indicator automatically generates buy and sell signals based on trend and indicator crossovers.
✔️ TP/SL levels displayed on the chart with text labels.
✔️ Break Even (BE) lines appear when a trade reaches a predefined profit level.
✔️ Entry points marked visually with black crosses.
✅ Each indicator can be individually enabled or disabled from the settings panel.
🎯 Why Use Toolbox?
✅ Comprehensive Indicator combining technical analysis & risk management.
✅ Suitable for all trading styles: scalping, day trading, swing trading.
✅ Fully customizable: Enable or disable any indicator as needed.
✅ Optimized trade execution & risk security through advanced risk settings.
🔥 Future Updates - Version 2 in Progress!
The goal of Toolbox is to continuously evolve based on user feedback to become an even more powerful and competitive indicator. 🚀
💡 Do you have suggestions for improvements or new features?
💬 Leave your feedback in the comments or send a message!
➡ Which additional indicators would you like to see in V2?
📩 Share your thoughts to help make Toolbox even better!
🔥 Thank you for using TOOLBOX - The Ultimate Trading Indicator! 🔥
📈 Happy trading, and stay tuned for V2! 🚀
🔥 TOOLBOX - L'Indicateur Ultime du Trader 🔥
L’indicateur Toolbox est conçu pour fournir une analyse technique avancée, tout en intégrant des outils essentiels de gestion du risque. Il s'adresse aux traders débutants comme expérimentés et permet d’optimiser la prise de décision grâce à une combinaison d’indicateurs techniques et de stratégies de gestion du risque.
⚙️ Fonctionnalités et Explications Détaillées
📌 Gestion du Risque Intégrée
✅ Calcul automatique de la taille de position : En fonction du capital total et du risque défini par l’utilisateur (exprimé en % par trade).
✅ Affichage des niveaux de Stop-Loss (SL) et Take-Profit (TP) : Les niveaux sont calculés dynamiquement en fonction d’un ratio risque/récompense personnalisable.
✅ Break Even (BE) intelligent : Option pour déplacer le stop-loss au point d’entrée après un certain seuil de profit atteint.
🔹 Paramètres disponibles :
Capital Total 💰 : Définit le capital à risque.
% de Risque par trade ⚠ : Ajuste automatiquement la taille de position.
Ratio TP/SL 🎯 : Ajuste le Take-Profit en fonction du Stop-Loss.
Activation du Break Even 🔹 : Permet une sécurisation automatique des gains.
📊 Indicateurs Techniques Inclus
L’outil combine plusieurs indicateurs techniques puissants pour identifier les meilleures opportunités de marché.
🔄 Moyennes Mobiles Exponentielles (EMA)
Les EMA 12 et 25 servent de signaux de croisement, tandis que la EMA 200 est utilisée comme barrière de tendance principale.
✔️ Si le prix est au-dessus de la EMA 200, la tendance est haussière.
✔️ Si le prix est en dessous, la tendance est baissière.
Nouveauté : EMA 199 & EMA 260 ! 🎯
Ces deux moyennes mobiles indépendantes permettent un filtrage supplémentaire de la tendance pour éviter les faux signaux.
📈 RSI (Relative Strength Index)
Un RSI classique en 14 périodes est inclus pour repérer les surachats et surventes.
✔️ Achat potentiel si le RSI passe au-dessus de 30
✔️ Vente potentielle si le RSI passe en dessous de 70
📉 Bandes de Bollinger (BB)
Les Bandes de Bollinger (20, 2) aident à repérer des ruptures de volatilité et des points de retournement.
✔️ Une clôture en dehors des bandes peut signaler une extension excessive et un possible retournement.
📊 MACD (Moving Average Convergence Divergence)
Le MACD (12, 26, 9) est utilisé pour détecter les changements d’élan du marché et confirmer les signaux des autres indicateurs.
✔️ Signal haussier : Croisement du MACD au-dessus de la ligne de signal.
✔️ Signal baissier : Croisement du MACD en dessous de la ligne de signal.
📉 Triple EMA (TEMA)
Un filtre de tendance avancé basé sur le TEMA 9, 21 et 50.
✔️ Les croisements du TEMA court avec le TEMA moyen indiquent des changements de dynamique.
🚀 Signaux d’Entrée & Affichage sur le Graphique
L’indicateur Toolbox génère automatiquement des signaux d’achat et de vente en fonction des tendances et des croisements d’indicateurs.
✔️ Affichage des niveaux TP/SL sur le graphique avec étiquettes textuelles.
✔️ Lignes de Break Even (BE) lorsqu’un certain niveau de profit est atteint.
✔️ Repères visuels pour les points d’entrée sous forme de croix noires.
✅ Option pour activer/désactiver chaque indicateur individuellement depuis le panneau de configuration.
🎯 Pourquoi utiliser Toolbox ?
✅ Indicateur complet combinant analyse technique et gestion du risque.
✅ Adapté à tous les styles de trading : scalping, day trading, swing trading.
✅ Personnalisable : chaque indicateur peut être activé ou désactivé selon les préférences.
✅ Idéal pour optimiser les prises de position tout en sécurisant les trades grâce aux paramètres de risque avancés.
🔥 Évolution et Améliorations Futures - Version 2 en Préparation !
L’objectif de Toolbox est d’évoluer en fonction des retours de la communauté pour devenir un indicateur toujours plus complet et performant. 🚀
💡 Vous avez des idées d’améliorations ou souhaitez voir de nouveaux indicateurs intégrés ?
💬 Laissez vos suggestions en commentaire ou envoyez un message !
➡ Quels autres indicateurs aimeriez-vous voir ajoutés dans la V2 ?
📩 Partagez votre feedback pour rendre Toolbox encore plus puissant !
🔥 Merci d’utiliser TOOLBOX - L’indicateur du trader exigeant ! 🔥
📈 Bon trading et à bientôt pour la V2 ! 🚀
ADR%-8 EMA Extension-ADR% Lines This indicator shows the following:
What is the ADR%
How far is the ADR% from the 8 EMA
What is the range of the ADR% for the day.
Bollinger Momentum Deviation | QuantEdgeBIntroducing Bollinger Momentum Deviation (BMD) by QuantEdgeB
🛠️ Overview
Bollinger Momentum Deviation (BMD) is a trend-following momentum indicator designed to identify strong price movements while also detecting overbought and oversold conditions in ranging markets.
By normalizing a simple moving average (SMA) with standard deviation, BMD captures momentum shifts, helping traders make data-driven entries and exits. In trending conditions, it acts as a momentum confirmation tool, while in ranging markets, it highlights mean-reversion opportunities for profit-taking or re-accumulation.
BMD combines the best of both worlds—a robust trend-following framework with an integrated volatility-based overbought/oversold detection system.
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✨ Key Features
🔹 Momentum & Trend-Following Core
Built upon a normalized SMA with standard deviation filtering, BMD efficiently tracks price movements while reducing lag.
🔹 Overbought/Oversold Market Detection
By dynamically adjusting its thresholds based on standard deviation, it identifies high-probability reversion zones in sideways markets.
🔹 Adaptive Normalization Mechanism
Ensures consistent signal reliability across different assets and timeframes by standardizing momentum fluctuations.
🔹 Customizable Visual & Signal Settings
Includes multiple color modes, extra plots, and trend labels, making it easy to align with different trading styles.
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📊 How It Works
1️⃣ Normalized Momentum Calculation
BMD computes a normalized momentum score using a simple moving average (SMA) combined with a standard deviation (SD) filter to create dynamic upper and lower bands. The final momentum score is derived by normalizing the price within this volatility-adjusted range. This normalization makes momentum readings comparable across different price levels and timeframes.
2️⃣ Standard Deviation Filtering
Unlike traditional approaches where standard deviation is derived from price as is the first SD, BMDs second SD is driven from the normalized momentum oscillator itself. This allows for a volatility-adjusted smoothing mechanism that adapts to momentum shifts rather than raw price fluctuations. This ensures that the trend signals remain dynamic and responsive, filtering out short-term noise while keeping the core momentum structure intact. By applying standard deviation directly to the oscillator, BMD achieves a self-regulating feedback loop, improving accuracy in both trending and range-bound conditions.
3️⃣ Signal Generation
✅ Long Signal → Upper BMD SD > Long Threshold (83)
❌ Short Signal → Lower BMD SD < Short Threshold (60)
📌 Additional Features:
- Overbought Zone → Values above 130 indicate price extension.
- Oversold Zone → Values below -10 suggest potential accumulation.
- Momentum Labels → Optional "Long" and "Short" markers for clear trade identification.
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👥 Who Should Use It?
✅ Trend Traders & Momentum Followers → Use BMD as a confirmation tool for strong directional trends.
✅ Range & Mean Reversion Traders → Identify reversal opportunities at extreme BMD levels.
✅ Swing & Position Traders → Utilize normalized momentum shifts for data-driven entries & exits.
✅ Systematic & Quant Traders → Implement BMD within algorithmic frameworks for adaptive market detection.
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⚙️ Customization & Default Settings
🔧 Key Custom Inputs:
- Base Length (Default: 40) → Defines the SMA calculation period.
- Standard Deviation Length (Default: 50) → Controls the volatility filter strength.
- SD Multiplier (Default: 0-7) → Adjusts the sensitivity of the momentum filter.
- Long Threshold (Default: 83) → Above this level, momentum is bullish.
- Short Threshold (Default: 60) → Below this level, momentum weakens.
- Visual Customizations → Multiple color themes, extra plots, and trend labels available.
🚀 By default, BMD is optimized for trend-following and momentum filtering while remaining adaptable to various trading strategies.
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📌 How to Use Bollinger Momentum Deviation (BMD) in Trading
1️⃣ Trend-Following Strategy (Momentum Confirmation)
✔ Enter long positions when BMD crosses above the long threshold (83), confirming upward momentum.
✔ Enter short positions when BMD crosses below the short threshold (60), confirming downward momentum.
✔ Stay in trades as long as BMD remains in trend direction, filtering out noise.
2️⃣ Mean Reversion Strategy (Overbought/Oversold Conditions)
✔ Take profits or hedge when BMD crosses above 130 (overbought).
✔ Re-accumulate positions when BMD drops below -10 (oversold).
📌 Why?
- In trending markets, follow BMD’s momentum confirmation.
- In ranging markets, use BMD’s normalized bands to buy at deep discounts and sell into strength.
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📌 Conclusion
Bollinger Momentum Deviation (BMD) is a versatile momentum indicator that combines trend-following mechanics with volatility-adjusted mean reversion zones. By normalizing SMA-based momentum shifts, BMD ensures robust signal reliability across different assets and timeframes.
🔹 Key Takeaways:
1️⃣ Momentum Confirmation & Trend Detection – Captures directional strength with dynamic filtering.
2️⃣ Overbought/Oversold Conditions – Identifies reversal opportunities in sideways markets.
3️⃣ Adaptive & Customizable – Works across different timeframes and trading styles.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
LV Breakout And Reversal Combined Strategy// breakout condition
// 1. current close price must be higher than all close prices in X days (period set as 20 by default)
// 2. close prices change in X days must be less than 20%
// 3. current volume must be greater than previous volume by 10%
Zones Family TraderTraçage de zone en fonction d'un dernier ATH.
En gardant le même écart de 50 points et des zones de 12,50 points. (modifiable)
MTF Fast Trend Information v.9.1pMulti Time Frame Fast Trend Information (MTF FTI).
The indicator uses Super Trend and Moving Averages to display trend information.
In addition, it shows information based on standard TradingView indicators - RSI, MFI, CCI, OBV, and TSI (The Trend Strength Index indicator measures the tendency of a symbol to either trend steadily or to revert to its mean. The core idea behind TSI is that the more momentum a symbol has relative to its volatility, the more likely it is to follow a trend and the less likely it is to revert to its mean. It analyzes price momentum using the Pearson correlation coefficient, a normalized measure of the linear relationship between time series. Its output shows the correlation between the chart's closing prices and bar index values over a defined number of bars).
Also it shows Chop Zone and ER.
Efficiency Ratio (ER) - It measures the efficiency of price movements. It quantifies how much the price has moved in a given direction relative to its overall volatility. A high ER indicates a strong trend, while a low ER suggests choppy, sideways movement.
ER values scale: H (high), M (medium), L (low).
For more information above ER google KAMA (Kaufman's Adaptive Moving Average).
The Chop Zone indicator allows one to determine whether a market is choppy, showcasing a sideways trend, or not choppy, showcasing a directional trend.
CZ values scale - Red (high values) for the choppy market and Green (low values) for the dominant trend.
CZ can be displayed above or below candles or at the top or bottom of the screen (or turned off). It acts like the standard Chop Zone indicator.
Trend values scale: Up, Down, UP+, Down+. Plus means stronger movement.
TSI values scale: SU (strong up), UP, WU (week up), N+ (above neutral), N (neutral), N- (below neutral), WD (weak down), DN (down), SD (strong down).
CCI, RSI, MFI values scale: OB (over bought), NB (near overbought), WB(weak overbought), N+ (above neutral), N (neutral), N- (below neutral), WO (weak oversold), NO (near oversold), OS (over sold).
VW shows whether the price is above (A) or below (B) VWAP (VWAP is irrelevant for daily or higher time frames).
OBV values scale: BEAR for bearish, BULL for bullish, and NTRL for neutral.
OBV divergence valies scale: HBL (hidden bullish), HBR (hidden bearish), NTR (neutral), RBR/RBL (regular bearich/bullish)
The indicator supports up to seven Time Frames. The more Time Frames it uses, the lower the response time. Five enabled Time Frames are more than enough. You can turn on and off any Time Frame you define.
You can switch between Super Trend and Moving Averages for trend direction detection.
If you encounter a loading problem, refresh the browser and use less enabled Time Frames.
Pivot Boss IndicatorsThese are the indicators described in the book - Secrets Of A Pivot Boss, by Franklin Ochoa.
BRAHIM KHATTARA Components of the Strategy
Input Settings:
RSI Oversold Level: Set at 30, meaning the asset is considered oversold when RSI drops below this level.
RSI Overbought Level: Set at 70, meaning the asset is considered overbought when RSI rises above this level.
Stop Loss: A percentage-based stop loss (default: 1%).
Take Profit: A percentage-based take profit level (default: 2%).
Trade Entry Conditions:
A buy trade (long position) is triggered when the RSI is below 30 and was previously above 30 in the last candle.
A sell trade (short position) is triggered when the RSI is above 70 and was previously below 70 in the last candle.
Risk Management:
When a long position is opened:
The take profit is set 2% above the entry price.
The stop loss is set 1% below the entry price.
When a short position is opened:
The take profit is set 2% below the entry price.
The stop loss is set 1% above the entry price.
Buy and Sell Signals on the Chart:
A "BUY" label appears below the candles when a buy condition is met.
A "SELL" label appears above the candles when a sell condition is met.
Fibonacci Bollinger Bands:
The middle line is calculated using VWMA (Volume-Weighted Moving Average).
The bands are calculated using standard deviation with Fibonacci levels: 0.236, 0.382, 0.5, 0.618, 0.764, and 1.0.
The upper bands act as resistance, while the lower bands act as support.
✅ Advantages of the Strategy
✔️ Simple and easy to understand, relying only on RSI and support/resistance levels.
✔️ Suitable for scalping and swing trading.
✔️ Uses Fibonacci Bollinger Bands to improve entry and exit accuracy.
✔️ Clear risk management with predefined stop loss and take profit levels.
