Adaptive Moving Average (AMA) Signals (Zeiierman)█ Overview
The Adaptive Moving Average (AMA) Signals indicator, enhances the classic concept of moving averages by making them adaptive to the market's volatility. This adaptability makes the AMA particularly useful in identifying market trends with varying degrees of volatility.
The core of the AMA's adaptability lies in its Efficiency Ratio (ER), which measures the directionality of the market over a given period. The ER is calculated by dividing the absolute change in price over a period by the sum of the absolute differences in daily prices over the same period.
⚪ Why It's Useful
The AMA Signals indicator is particularly useful because of its adaptability to changing market conditions. Unlike static moving averages, it dynamically adjusts, providing more relevant signals that can help traders capture trends earlier or identify reversals with greater accuracy. Its configurability makes it suitable for various trading strategies and timeframes, from day trading to swing trading.
█ How It Works
The AMA Signals indicator operates on the principle of adapting to market efficiency through the calculation of the Efficiency Ratio (ER), which measures the directionality of the market over a specified period. By comparing the net price change to total price movements, the AMA adjusts its sensitivity, becoming faster during trending markets and slower during sideways markets. This adaptability is enhanced by a gamma parameter that filters signals for either trend continuation or reversal, making it versatile across different market conditions.
change = math.abs(close - close )
volatility = math.sum(math.abs(close - close ), n)
ER = change / volatility
Efficiency Ratio (ER) Calculation: The AMA begins with the computation of the Efficiency Ratio (ER), which measures the market's directionality over a specified period. The ER is a ratio of the net price change to the total price movements, serving as a measure of the efficiency of price movements.
Adaptive Smoothing: Based on the ER, the indicator calculates the smoothing constants for the fastest and slowest Exponential Moving Averages (EMAs). These constants are then used to compute a Scaled Smoothing Coefficient (SC) that adapts the moving average to the market's efficiency, making it faster during trending periods and slower in sideways markets.
Signal Generation: The AMA applies a filter, adjusted by a "gamma" parameter, to identify trading signals. This gamma influences the sensitivity towards trend or reversal signals, with options to adjust for focusing on either trend-following or counter-trend signals.
█ How to Use
Trend Identification: Use the AMA to identify the direction of the trend. An upward moving AMA indicates a bullish trend, while a downward moving AMA suggests a bearish trend.
Trend Trading: Look for buy signals when the AMA is trending upwards and sell signals during a downward trend. Adjust the fast and slow EMA lengths to match the desired sensitivity and timeframe.
Reversal Trading: Set the gamma to a positive value to focus on reversal signals, identifying potential market turnarounds.
█ Settings
Period for ER calculation: Defines the lookback period for calculating the Efficiency Ratio, affecting how quickly the AMA responds to changes in market efficiency.
Fast EMA Length and Slow EMA Length: Determine the responsiveness of the AMA to recent price changes, allowing traders to fine-tune the indicator to their trading style.
Signal Gamma: Adjusts the sensitivity of the filter applied to the AMA, with the ability to focus on trend signals or reversal signals based on its value.
AMA Candles: An innovative feature that plots candles based on the AMA calculation, providing visual cues about the market trend and potential reversals.
█ Alerts
The AMA Signals indicator includes configurable alerts for buy and sell signals, as well as positive and negative trend changes.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
在脚本中搜索"swing trading"
Candlestick Bias OscillatorCandlestick Bias Oscillator (CBO)
The Candlestick Bias Oscillator (CBO) with Signal Line is a pioneering indicator developed for the TradingView platform, designed to offer traders a nuanced analysis of market sentiment through the unique lens of candlestick patterns. This indicator stands out by merging traditional concepts of price action analysis with innovative mathematical computations, providing a fresh perspective on trend detection and potential market reversals.
Originality and Utility
At the core of the CBO's originality is its method of calculating the bias of candlesticks. Unlike conventional oscillators that may rely solely on closing prices or high-low ranges, the CBO incorporates both the body and wick of candlesticks into its analysis. This dual consideration allows for a more rounded understanding of market sentiment, capturing both the directional momentum and the strength of price rejections within a single oscillator.
Mathematical Foundations
1. Body Bias: The CBO calculates the body bias by assessing the relative position of the close to the open within the day's range, scaled to a -100 to 100 range. This calculation reflects the bullish or bearish sentiment of the market, based on the day's closing momentum.
Body Bias = (Close−Open)/(High−Low) x 100
Wick Bias: Similarly, the wick bias calculation takes into account the lengths of the upper and lower wicks, indicating rejection levels beyond the body's close. The balance between these wicks is scaled similarly to the body bias, offering insight into the market's indecision or rejection of certain price levels.
Wick Bias=(Lower Wick−Upper Wick)/(Total Wick Length) × 100
3. Overall Bias and Oscillator: By averaging the body and wick biases, the CBO yields an overall bias score, which is then smoothed over a user-defined period to create the oscillator. This oscillator provides a clear visual representation of the market's underlying sentiment, smoothed to filter out the noise.
4. Signal Line: A secondary smoothing of the oscillator creates the signal line, offering a trigger for potential trading signals when the oscillator crosses this line, indicative of a change in market momentum.
How to Use the CBO:
The CBO is versatile, suitable for various trading strategies, including scalping, swing trading, and long-term trend following. Traders can use the oscillator and signal line crossovers as indications for entry or exit points. The relative position of the oscillator to the zero line further provides insight into the prevailing market bias, enabling traders to align their strategies with the broader market sentiment.
Why It Adds Value:
The CBO's innovative approach to analyzing candlestick patterns fills a gap in the existing array of TradingView indicators. By providing a detailed analysis of both candle bodies and wicks, the CBO offers a more comprehensive view of market sentiment than traditional oscillators. This can be particularly useful for traders looking to gauge the strength of price movements and potential reversal points with greater precision.
Conclusion:
The Candle Bias Oscillator with Signal Line is not just another addition to the plethora of indicators on TradingView. It represents a significant advancement in the analysis of market sentiment, combining traditional concepts with a novel mathematical approach. By offering a deeper insight into the dynamics of candlestick patterns, the CBO equips traders with a powerful tool to navigate the complexities of the market with increased confidence.
Explore the unique insights provided by the CBO and integrate it into your trading strategy for a more informed and nuanced market analysis.
Bollinger Bands & Fibonacci StrategyThe Bollinger Bands & Fibonacci Strategy is a powerful technical analysis trading strategy designed to identify potential entry and exit points in financial markets. This strategy combines two widely used indicators, Bollinger Bands and Fibonacci retracement levels, to assist traders in making informed trading decisions.
Key Features:
Bollinger Bands: This strategy utilizes Bollinger Bands, a volatility-based indicator that consists of an upper band, a lower band, and a middle (basis) line. Bollinger Bands help traders visualize price volatility and potential reversal points.
Fibonacci Retracement Levels: Fibonacci retracement levels are essential tools for identifying potential support and resistance levels in price charts. This strategy incorporates Fibonacci retracement levels, including the 0% and 100% levels, to aid in pinpointing key price levels.
Long and Short Signals: The strategy generates long (buy) and short (sell) signals based on specific conditions derived from Bollinger Bands and Fibonacci levels. Long signals are generated when price crosses above the upper Bollinger Band and when the price is above the Fibonacci low level. Short signals are generated when price crosses below the lower Bollinger Band and when the price is below the Fibonacci high level.
Position Management: To prevent multiple concurrent positions of the same type (long or short), the strategy employs position management logic. It tracks open positions and ensures that only one position type is active at a time.
Exit Conditions: The strategy includes customizable exit conditions to manage and close open positions. Traders can fine-tune exit criteria to align with their risk management and profit-taking strategies.
User-Friendly: This strategy script is user-friendly and can be easily integrated into the TradingView platform, allowing traders to apply it to various financial instruments and timeframes.
Usage:
Traders and investors can apply the Bollinger Bands & Fibonacci Strategy to a wide range of financial markets, including stocks, forex, commodities, and cryptocurrencies. It can be adapted to different timeframes to suit various trading styles, from day trading to swing trading.
Disclaimer:
Trading carries inherent risks, and this strategy is no exception. It is essential to use proper risk management techniques, including stop-loss orders, and thoroughly backtest the strategy on historical data before implementing it in live trading.
The Bollinger Bands & Fibonacci Strategy is a valuable tool for technical traders seeking well-defined entry and exit points based on robust indicators. It can serve as a foundation for traders to build and customize their trading strategies according to their individual preferences and risk tolerance.
Feel free to customize this description to add any additional details or specifications unique to your strategy. When publishing your strategy on a trading platform like TradingView, a clear and informative description can help potential users understand and use your strategy effectively.
W and M Pattern Indicator- SwaGThis is a TradingView indicator script that identifies potential buy and sell signals based on ‘W’ and ‘M’ patterns in the Relative Strength Index (RSI). It provides visual alerts and draws horizontal lines to indicate potential trade entry points.
User Manual:
Inputs: The script takes two inputs - an upper limit and a lower limit. The default values are 70 and 40, respectively.
RSI Calculation: The script calculates the RSI based on the closing prices of the last 14 periods.
Pattern Identification: It identifies ‘W’ patterns when the RSI makes a higher low within the lower limit, and ‘M’ patterns when the RSI makes a lower high within the upper limit.
Visual Alerts: The script plots these patterns on the chart. ‘W’ patterns are marked with small green triangles below the bars, and ‘M’ patterns are marked with small red triangles above the bars.
Trade Entry Points: A horizontal line is drawn at the high or low of the candle to represent potential trade entry points. The line starts from one bar to the left and extends 10 bars to the right.
Trading Strategy:
For investing, use a weekly timeframe.
For swing trading, use a daily timeframe.
For intraday trading, use a 5 or 15-minute timeframe. Only consider sell-side signals for intraday trading.
Take a buy position if the high breaks above the green line or sell if the low breaks below the red line.
Use recent signals only and avoid signals that are too old.
Swing highs or lows will be your stop-loss level.
Always think about your stop-loss before entering a trade, not your target.
Avoid trades with a large stop-loss.
Remember, this script is a tool to aid in your trading decisions. Always test your strategies thoroughly before live trading. Happy trading! 😊
Moving Average Filters Add-on w/ Expanded Source Types [Loxx]Moving Average Filters Add-on w/ Expanded Source Types is a conglomeration of specialized and traditional moving averages that will be used in most of indicators that I publish moving forward. There are 39 moving averages included in this indicator as well as expanded source types including traditional Heiken Ashi and Better Heiken Ashi candles. You can read about the expanded source types clicking here . About half of these moving averages are closed source on other trading platforms. This indicator serves as a reference point for future public/private, open/closed source indicators that I publish to TradingView. Information about these moving averages was gleaned from various forex and trading forums and platforms as well as TASC publications and other assorted research publications.
________________________________________________________________
Included moving averages
ADXvma - Average Directional Volatility Moving Average
Linnsoft's ADXvma formula is a volatility-based moving average, with the volatility being determined by the value of the ADX indicator.
The ADXvma has the SMA in Chande's CMO replaced with an EMA, it then uses a few more layers of EMA smoothing before the "Volatility Index" is calculated.
A side effect is, those additional layers slow down the ADXvma when you compare it to Chande's Variable Index Dynamic Average VIDYA.
The ADXVMA provides support during uptrends and resistance during downtrends and will stay flat for longer, but will create some of the most accurate market signals when it decides to move.
Ahrens Moving Average
Richard D. Ahrens's Moving Average promises "Smoother Data" that isn't influenced by the occasional price spike. It works by using the Open and the Close in his formula so that the only time the Ahrens Moving Average will change is when the candlestick is either making new highs or new lows.
Alexander Moving Average - ALXMA
This Moving Average uses an elaborate smoothing formula and utilizes a 7 period Moving Average. It corresponds to fitting a second-order polynomial to seven consecutive observations. This moving average is rarely used in trading but is interesting as this Moving Average has been applied to diffusion indexes that tend to be very volatile.
Double Exponential Moving Average - DEMA
The Double Exponential Moving Average (DEMA) combines a smoothed EMA and a single EMA to provide a low-lag indicator. It's primary purpose is to reduce the amount of "lagging entry" opportunities, and like all Moving Averages, the DEMA confirms uptrends whenever price crosses on top of it and closes above it, and confirms downtrends when the price crosses under it and closes below it - but with significantly less lag.
Double Smoothed Exponential Moving Average - DSEMA
The Double Smoothed Exponential Moving Average is a lot less laggy compared to a traditional EMA. It's also considered a leading indicator compared to the EMA, and is best utilized whenever smoothness and speed of reaction to market changes are required.
Exponential Moving Average - EMA
The EMA places more significance on recent data points and moves closer to price than the SMA (Simple Moving Average). It reacts faster to volatility due to its emphasis on recent data and is known for its ability to give greater weight to recent and more relevant data. The EMA is therefore seen as an enhancement over the SMA.
Fast Exponential Moving Average - FEMA
An Exponential Moving Average with a short look-back period.
Fractal Adaptive Moving Average - FRAMA
The Fractal Adaptive Moving Average by John Ehlers is an intelligent adaptive Moving Average which takes the importance of price changes into account and follows price closely enough to display significant moves whilst remaining flat if price ranges. The FRAMA does this by dynamically adjusting the look-back period based on the market's fractal geometry.
Hull Moving Average - HMA
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points.
IE/2 - Early T3 by Tim Tilson
The IE/2 is a Moving Average that uses Linear Regression slope in its calculation to help with smoothing. It's a worthy Moving Average on it's own, even though it is the precursor and very early version of the famous "T3 Indicator".
Integral of Linear Regression Slope - ILRS
A Moving Average where the slope of a linear regression line is simply integrated as it is fitted in a moving window of length N (natural numbers in maths) across the data. The derivative of ILRS is the linear regression slope. ILRS is not the same as a SMA (Simple Moving Average) of length N, which is actually the midpoint of the linear regression line as it moves across the data.
Instantaneous Trendline
The Instantaneous Trendline is created by removing the dominant cycle component from the price information which makes this Moving Average suitable for medium to long-term trading.
Laguerre Filter
The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation.
Adjusting the Alpha coefficient is used to increase or decrease its lag and it's smoothness.
Leader Exponential Moving Average
The Leader EMA was created by Giorgos E. Siligardos who created a Moving Average which was able to eliminate lag altogether whilst maintaining some smoothness. It was first described during his research paper "MACD Leader" where he applied this to the MACD to improve its signals and remove its lagging issue. This filter uses his leading MACD's "modified EMA" and can be used as a zero lag filter.
Linear Regression Value - LSMA (Least Squares Moving Average)
LSMA as a Moving Average is based on plotting the end point of the linear regression line. It compares the current value to the prior value and a determination is made of a possible trend, eg. the linear regression line is pointing up or down.
Linear Weighted Moving Average - LWMA
LWMA reacts to price quicker than the SMA and EMA. Although it's similar to the Simple Moving Average, the difference is that a weight coefficient is multiplied to the price which means the most recent price has the highest weighting, and each prior price has progressively less weight. The weights drop in a linear fashion.
McGinley Dynamic
John McGinley created this Moving Average to track price better than traditional Moving Averages. It does this by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets.
McNicholl EMA
Dennis McNicholl developed this Moving Average to use as his center line for his "Better Bollinger Bands" indicator and was successful because it responded better to volatility changes over the standard SMA and managed to avoid common whipsaws.
Non lag moving average
The Non Lag Moving average follows price closely and gives very quick signals as well as early signals of price change. As a standalone Moving Average, it should not be used on its own, but as an additional confluence tool for early signals.
Parabolic Weighted Moving Average
The Parabolic Weighted Moving Average is a variation of the Linear Weighted Moving Average. The Linear Weighted Moving Average calculates the average by assigning different weight to each element in its calculation. The Parabolic Weighted Moving Average is a variation that allows weights to be changed to form a parabolic curve. It is done simply by using the Power parameter of this indicator.
Recursive Moving Trendline
Dennis Meyers's Recursive Moving Trendline uses a recursive (repeated application of a rule) polynomial fit, a technique that uses a small number of past values estimations of price and today's price to predict tomorrows price.
Simple Moving Average - SMA
The SMA calculates the average of a range of prices by adding recent prices and then dividing that figure by the number of time periods in the calculation average. It is the most basic Moving Average which is seen as a reliable tool for starting off with Moving Average studies. As reliable as it may be, the basic moving average will work better when it's enhanced into an EMA.
Sine Weighted Moving Average
The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average).
Smoothed Moving Average - SMMA
The Smoothed Moving Average is similar to the Simple Moving Average (SMA), but aims to reduce noise rather than reduce lag. SMMA takes all prices into account and uses a long lookback period. Due to this, it's seen a an accurate yet laggy Moving Average.
Smoother
The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA (Smoothed Moving Average). It gives earlier signals but can also create false signals due to its earlier reactions. This filter is sometimes wrongly mistaken for the superior Jurik Smoothing algorithm.
Super Smoother
The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a a Two pole Butterworth filter combined with a 2-bar SMA (Simple Moving Average) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence.
Three pole Ehlers Butterworth
The 3 pole Ehlers Butterworth (as well as the Two pole Butterworth) are both superior alternatives to the EMA and SMA. They aim at producing less lag whilst maintaining accuracy. The 2 pole filter will give you a better approximation for price, whereas the 3 pole filter has superior smoothing.
Three pole Ehlers smoother
The 3 pole Ehlers smoother works almost as close to price as the above mentioned 3 Pole Ehlers Butterworth. It acts as a strong baseline for signals but removes some noise. Side by side, it hardly differs from the Three Pole Ehlers Butterworth but when examined closely, it has better overshoot reduction compared to the 3 pole Ehlers Butterworth.
Triangular Moving Average - TMA
The TMA is similar to the EMA but uses a different weighting scheme. Exponential and weighted Moving Averages will assign weight to the most recent price data. Simple moving averages will assign the weight equally across all the price data. With a TMA (Triangular Moving Average), it is double smoother (averaged twice) so the majority of the weight is assigned to the middle portion of the data.
The TMA and Sine Weighted Moving Average Filter are almost identical at times.
Triple Exponential Moving Average - TEMA
The TEMA uses multiple EMA calculations as well as subtracting lag to create a tool which can be used for scalping pullbacks. As it follows price closely, it's signals are considered very noisy and should only be used in extremely fast-paced trading conditions.
Two pole Ehlers Butterworth
The 2 pole Ehlers Butterworth (as well as the three pole Butterworth mentioned above) is another filter that cuts out the noise and follows the price closely. The 2 pole is seen as a faster, leading filter over the 3 pole and follows price a bit more closely. Analysts will utilize both a 2 pole and a 3 pole Butterworth on the same chart using the same period, but having both on chart allows its crosses to be traded.
Two pole Ehlers smoother
A smoother version of the Two pole Ehlers Butterworth. This filter is the faster version out of the 3 pole Ehlers Butterworth. It does a decent job at cutting out market noise whilst emphasizing a closer following to price over the 3 pole Ehlers.
Volume Weighted EMA - VEMA
Utilizing tick volume in MT4 (or real volume in MT5), this EMA will use the Volume reading in its decision to plot its moves. The more Volume it detects on a move, the more authority (confirmation) it has. And this EMA uses those Volume readings to plot its movements.
Studies show that tick volume and real volume have a very strong correlation, so using this filter in MT4 or MT5 produces very similar results and readings.
Zero Lag DEMA - Zero Lag Double Exponential Moving Average
John Ehlers's Zero Lag DEMA's aim is to eliminate the inherent lag associated with all trend following indicators which average a price over time. Because this is a Double Exponential Moving Average with Zero Lag, it has a tendency to overshoot and create a lot of false signals for swing trading. It can however be used for quick scalping or as a secondary indicator for confluence.
Zero Lag Moving Average
The Zero Lag Moving Average is described by its creator, John Ehlers, as a Moving Average with absolutely no delay. And it's for this reason that this filter will cause a lot of abrupt signals which will not be ideal for medium to long-term traders. This filter is designed to follow price as close as possible whilst de-lagging data instead of basing it on regular data. The way this is done is by attempting to remove the cumulative effect of the Moving Average.
Zero Lag TEMA - Zero Lag Triple Exponential Moving Average
Just like the Zero Lag DEMA, this filter will give you the fastest signals out of all the Zero Lag Moving Averages. This is useful for scalping but dangerous for medium to long-term traders, especially during market Volatility and news events. Having no lag, this filter also has no smoothing in its signals and can cause some very bizarre behavior when applied to certain indicators.
________________________________________________________________
What are Heiken Ashi "better" candles?
The "better formula" was proposed in an article/memo by BNP-Paribas (In Warrants & Zertifikate, No. 8, August 2004 (a monthly German magazine published by BNP Paribas, Frankfurt), there is an article by Sebastian Schmidt about further development (smoothing) of Heikin-Ashi chart.)
They proposed to use the following:
(Open+Close)/2+(((Close-Open)/( High-Low ))*ABS((Close-Open)/2))
instead of using :
haClose = (O+H+L+C)/4
According to that document the HA representation using their proposed formula is better than the traditional formula.
What are traditional Heiken-Ashi candles?
The Heikin-Ashi technique averages price data to create a Japanese candlestick chart that filters out market noise.
Heikin-Ashi charts, developed by Munehisa Homma in the 1700s, share some characteristics with standard candlestick charts but differ based on the values used to create each candle. Instead of using the open, high, low, and close like standard candlestick charts, the Heikin-Ashi technique uses a modified formula based on two-period averages. This gives the chart a smoother appearance, making it easier to spots trends and reversals, but also obscures gaps and some price data.
Expanded generic source types:
Close = close
Open = open
High = high
Low = low
Median = hl2
Typical = hlc3
Weighted = hlcc4
Average = ohlc4
Average Median Body = (open+close)/2
Trend Biased = (see code, too complex to explain here)
Trend Biased (extreme) = (see code, too complex to explain here)
Included:
-Toggle bar color on/off
-Toggle signal line on/off
Nexus Momentum Flow [JOAT]
Nexus Momentum Flow - ADX-Based Trend Strength Analysis
Introduction and Purpose
Nexus Momentum Flow is an open-source oscillator indicator that combines the ADX (Average Directional Index) with directional movement indicators (+DI/-DI) to create a comprehensive trend strength and direction analysis tool. The core problem this indicator solves is that ADX alone tells you trend strength but not direction, while +DI/-DI alone tells you direction but not strength. Traders need both pieces of information together.
This indicator addresses that by combining ADX strength classification with directional bias into a single confluence score, making it easy to identify when strong trends exist and which direction they favor.
Why These Components Work Together
1. ADX (Average Directional Index) - Measures trend strength regardless of direction. Values above 25 indicate trending; below 20 indicate ranging.
2. +DI (Positive Directional Indicator) - Measures upward price movement strength.
3. -DI (Negative Directional Indicator) - Measures downward price movement strength.
4. Confluence Score - Combines ADX strength with DI bias to create a single actionable metric.
The combination works because:
ADX filters out ranging markets where DI crossovers produce whipsaws
DI relationship provides direction when ADX confirms trend
Confluence score simplifies the analysis into one number
How the Calculation Works
float directionBias = diPlus - diMinus
float confluenceScore = (adx / 100) * directionBias
The confluence score is positive when +DI > -DI (bullish) and negative when -DI > +DI (bearish), with magnitude scaled by ADX strength.
Trend State Classification
EXTREME - ADX > 50 (very strong trend)
STRONG - ADX 35-50 (strong trend)
TRENDING - ADX 25-35 (moderate trend)
RANGING - ADX < 25 (no clear trend)
Dashboard Information
Status - Current trend state (EXTREME/STRONG/TRENDING/RANGING)
Direction - BULLISH or BEARISH based on DI relationship
ADX - Current ADX value
DI Bias - Difference between +DI and -DI
Confluence - Combined score with directional context
How to Use This Indicator
For Trend Following:
1. Wait for ADX to show TRENDING or higher
2. Check direction matches your trade bias
3. Enter on pullbacks when confluence remains positive/negative
4. Exit when ADX drops to RANGING
For Avoiding Whipsaws:
1. Do not trade DI crossovers when ADX shows RANGING
2. Only trust directional signals when ADX confirms trend
3. Use RANGING periods for mean-reversion strategies instead
For Trend Exhaustion:
1. Watch for EXTREME ADX readings
2. Extreme trends often precede reversals
3. Consider taking profits when ADX reaches extreme levels
Input Parameters
ADX Length (14) - Period for ADX calculation
DI Length (14) - Period for directional indicators
ADX Smoothing (14) - Smoothing period for ADX
Trend Threshold (25) - ADX level for trend confirmation
Strong Threshold (35) - ADX level for strong trend
Extreme Threshold (50) - ADX level for extreme trend
Timeframe Recommendations
Daily/4H: Best for swing trading trend analysis
1H: Good for intraday trend following
15m: More signals but requires faster reaction
Limitations
ADX is a lagging indicator - trends are confirmed after they start
DI crossovers can whipsaw even with ADX filter
Works best in markets that trend clearly
May miss early trend entries due to confirmation requirement
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
Hyper-Spectral Neural Flow [Pineify]Hyper-Spectral Neural Flow - Advanced Gaussian Kernel Trend Detection with Spectral Volatility Bands
Transform your chart analysis with a cutting-edge indicator that combines machine learning-inspired smoothing algorithms with stunning visual feedback systems for precise trend identification and market momentum visualization.
Overview
The Hyper-Spectral Neural Flow is a sophisticated technical analysis tool that implements Gaussian Kernel Regression smoothing to estimate the underlying price trend with minimal lag while providing dynamic volatility-based visual feedback through its signature "spectral aura" display. Unlike conventional moving averages or simple trend indicators, this tool adapts its smoothing characteristics based on localized price behavior, creating a neural-inspired pathway that represents the market's true trend direction.
The indicator's core calculation utilizes a 50-bar Gaussian window with customizable bandwidth parameters, allowing traders to balance between responsiveness and smoothness according to their trading style. Surrounding this core trend line are multi-layered spectral bands that expand and contract based on market volatility, measured through a combination of Mean Absolute Error (MAE) and user-defined multipliers.
Key Features
Gaussian Kernel Neural Core - A proprietary smoothing algorithm that calculates localized weighted averages using Gaussian distribution weights, providing superior noise reduction compared to traditional moving averages
Multi-Layered Spectral Aura - Four distinct volatility bands (inner/upper and inner/lower) that create a dynamic visual representation of market volatility and trend strength
Adaptive Gradient Fills - Color-gradient transparency that adjusts based on price position relative to the neural core, creating an energy field effect that visually communicates market momentum
Trend Pulse Markers - Automatic circular markers that appear precisely when the neural flow shifts direction, providing clear entry/exit signals
Dynamic Bar Coloring - Price bars that change color and transparency based on trend direction, enhancing visual pattern recognition
Real-Time Trend Calculation - Optimized 50-bar rolling window ensures responsive performance without excessive computational load
Customizable Alert System - Built-in alert conditions for neural flow direction changes
How It Works
The indicator's calculation engine operates on three distinct levels working in harmony:
Neural Core Calculation - For each bar, the algorithm computes a weighted average of the previous 50 bars using Gaussian kernel functions. The weight assigned to each historical bar follows a bell curve distribution, where more recent bars receive exponentially higher weights. The mathematical formula is: weight = exp(-(distance²) / (2 × bandwidth²)) , where the bandwidth parameter (default: 8.0) controls the smoothness sensitivity.
Volatility Band Derivation - The spectral bands are calculated using the Mean Absolute Error (MAE) between price and the neural core, smoothed over 50 periods and multiplied by a user-defined spectral range multiplier (default: 3.0). This creates four bands: outer upper (+1.0× MAE), inner upper (+0.5× MAE), inner lower (-0.5× MAE), and outer lower (-1.0× MAE).
Trend Direction Logic - The system determines trend direction by comparing the current neural core value to the previous bar's value. When the core rises, the bullish flow color activates; when it declines, the bearish flow color engages.
Trading Ideas and Insights
Trend Following - Use the neural core as your primary trend reference. When price is above the core with the bullish flow color active, look for long entry opportunities on pullbacks to the inner lower spectral band
Trend Reversal Detection - Watch for the trend pulse markers combined with price crossing the neural core. A bullish pulse appearing after a bearish phase, especially near the outer lower band, often signals a trend reversal
Volatility Contraction Plays - When the spectral bands narrow significantly (indicating low volatility), prepare for potential breakout trades as volatility expansion often follows consolidation periods
Support/Resistance Zones - The inner and outer spectral bands often act as dynamic support and resistance levels. Price rejection from these bands, combined with trend pulse markers, provides high-probability trade setups
Momentum Assessment - Strong trends show the spectral bands expanding in the direction of the move while maintaining consistent separation. Converging bands suggest momentum weakening
How Multiple Indicators Work Together
The true power of Hyper-Spectral Neural Flow lies in the synergistic integration of its components:
The Gaussian Kernel Core provides the foundational trend direction, eliminating noise while preserving genuine price movements
The Spectral Bands add context by showing volatility-adjusted price boundaries, preventing premature entries during low-volatility conditions
The Gradient Fill System offers immediate visual feedback about trend strength—wider, more opaque bands indicate stronger trends, while narrow, transparent bands suggest weakness
The Trend Pulse Markers serve as confirmation signals, ensuring traders don't act on minor core fluctuations but only on meaningful directional changes
This multi-component approach means each element validates the others: a trend pulse marker appearing while price is at an outer band and the spectral aura is expanding provides three independent confirmations of a significant trading opportunity .
Unique Aspects
Machine Learning Foundation - Unlike most TradingView indicators based on standard technical analysis formulas, this implements concepts from Gaussian Process Regression, a technique used in advanced machine learning applications
Visual Hierarchy - The layered design (core line → inner bands → outer bands) creates a natural visual priority system that guides the eye from the most important element (trend direction) to secondary context (volatility levels)
Adaptive Smoothing - The Gaussian bandwidth parameter allows traders to morph the indicator between a short-term scalping tool (lower values) and a long-term trend following system (higher values) without changing the underlying algorithm
Neuro-Aesthetic Design - The visual language mimics neural network imagery and spectrographic displays, making complex data intuitively understandable through association with familiar scientific visualization
How to Use
Add the indicator to your chart from the indicators library and overlay it on your price data
Begin with default settings (Neural Bandwidth: 8.0, Spectral Range: 3.0) to observe the indicator's behavior on your timeframe
For trend following: Only take long trades when the neural core is rising and showing the bullish flow color; only take short trades when the core is declining with bearish flow color
For entry timing: Use the inner spectral bands as pullback entry zones during strong trends—the inner lower band for longs, the inner upper band for shorts
For stop placement: Consider placing stops just beyond the outer spectral band opposite your trade direction
For trend confirmation: Wait for trend pulse markers to appear before entering positions, especially when trading counter-trend reversals
For exit signals: Consider partial profits when price reaches the outer band in the direction of your trade, or when a trend pulse marker signals a potential direction change
Customization
Neural Bandwidth (1.0 to 20.0) - Increase for smoother, slower signals suitable for swing trading (try 12.0-15.0 on daily charts); decrease for more responsive signals for scalping or day trading (try 3.0-5.0 on intraday timeframes)
Spectral Range (0.5 to 10.0) - Higher values widen the volatility bands, resulting in fewer signals but potentially larger winning trades; lower values create tighter bands for more frequent signals but increased false signals during volatility spikes
Bullish/Bearish Flow Colors - Customize to match your chart aesthetic or preference; consider using colors that contrast well with your background for optimal visibility
Aura Opacity (0 to 100) - Adjust to control the prominence of the spectral gradient fills; lower values make the chart less cluttered, higher values emphasize the volatility expansion/contraction cycles
Trend Pulse Marks - Disable if you prefer a cleaner visual and plan to rely solely on core direction and band relationships for signals
Conclusion
The Hyper-Spectral Neural Flow represents a paradigm shift in trend indicator design, bridging the gap between rigorous statistical methodology and intuitive visual communication. By implementing Gaussian kernel regression—typically found in advanced machine learning applications—within an accessible TradingView indicator, it offers traders a professional-grade trend detection tool that doesn't sacrifice usability for sophistication.
Whether you're a systematic trader who relies on objective, rule-based signals, a discretionary trader who values contextual market information, or a quantitative analyst seeking robust trend estimation, this indicator provides the flexibility to adapt to your methodology while maintaining mathematical rigor in its core calculations.
The integration of volatility-based spectral bands with the neural core creates a complete trading framework in a single indicator: trend identification, volatility assessment, entry timing guidance, and trend change signals—all unified through a cohesive visual language that makes complex data immediately actionable. By understanding how the Gaussian smoothing adapts to market conditions and how the spectral bands breathe with volatility, traders gain deeper insight into market structure beyond simple price movement.
Add the Hyper-Spectral Neural Flow to your chart analysis toolkit and experience the difference that machine learning-inspired indicators can make in your trading decisions.
Cody Order Block FinderCody Order Block Finder
Free Telegram Trading Community t.me
Overview
A professional order block detection indicator that identifies institutional supply and demand zones on any timeframe. This tool helps traders spot key reversal areas where institutional orders are likely placed, providing strategic levels for limit order entries.
Key Features
🔍 Smart Order Block Detection
Bullish Order Blocks: Identifies the last bearish candle before consecutive bullish candles
Bearish Order Blocks: Identifies the last bullish candle before consecutive bearish candles
Configurable Sensitivity: Adjust the number of consecutive candles required (1-50 periods)
Minimum Move Filter: Set percentage threshold to filter only significant moves
🎨 Visual Customization
Multiple Color Schemes: Choose from DARK, BRIGHT, or NEON themes
Customizable Display: Show/hide bullish/bearish channels
Line Extension: Extend OB lines to current bar for better visibility
Historical View: Toggle between showing all historical OBs or only the latest ones
📊 Advanced Filtering
OB Size Filter: Set minimum and maximum order block size as percentage of price
ATR Filter: Filter OBs based on Average True Range multiples
OB Strength Indicator: Color-coded OBs based on subsequent price move strength
Wick/Body Selection: Choose to mark OBs using whole candle range or body only
🔔 Alert System
Real-time Alerts: Get notified immediately when new order blocks form
Customizable Messages: Set your own alert messages
Once-per-OB Option: Prevent alert spam with single alert per OB
📈 Display Features
Three-Line Channels: Shows high, low, and average levels for each OB
Visual Shapes: Clear triangle markers above/below candles
Info Panel: Displays latest OB statistics in a clean table format
Data Window Info: View OB levels in TradingView's data window
How to Use
Setup
Add indicator to your chart
Configure periods (default: 5) - higher values = fewer but stronger OBs
Set minimum % move (default: 0%) to filter significant moves
Choose color scheme for your preference
Trading Applications
Limit Order Placement: Place buy limits at bullish OB lows, sell limits at bearish OB highs
Stop Loss Reference: Set stops beyond OB extremes
Reversal Confirmation: Use OBs as confluence with other indicators
Support/Resistance: OB levels often act as future support/resistance
Advanced Tips
Combine with volume profile for higher probability zones
Use on higher timeframes (4H, Daily) for more significant levels
Look for OBs at key Fibonacci levels for added confluence
Monitor price reactions when revisiting OBs
Technical Details
Programming Language: Pine Script v6
Overlay: Yes (draws directly on price chart)
Max Lines: 500 (prevents chart clutter)
Timeframe Compatibility: All timeframes (1min to Monthly)
Market Compatibility: Forex, Stocks, Crypto, Futures
Input Parameters
Basic Settings
Relevant Periods: Number of consecutive candles required (1-50)
Min. Percent move: Minimum % move to validate OB (0.0-100.0)
Color Scheme: DARK, BRIGHT, or NEON color themes
Display Options
Show latest Bullish/Bearish Channel: Toggle channel display
Extend OB lines to right: Extend lines to current bar
Show all historical OBs: Display all OBs or only latest
Use whole range: Use High/Low or Open/Close for OB marking
Advanced Filters
Min/Max OB size (%): Filter by order block size
Use ATR filter: Filter based on volatility
Show OB Strength: Color code by subsequent move strength
Alert Configuration
Create alerts directly from the indicator by clicking "Create Alert" button on chart:
Bullish OB alerts when green triangle appears
Bearish OB alerts when red triangle appears
Includes price and OB level information
Best Practices
Higher Timeframes First: Start on daily/4H to identify major levels
Multiple Confluence: Combine with trend lines, Fibonacci, or moving averages
Patience: Wait for price to return to OB levels for entries
Risk Management: Always use appropriate position sizing and stops
Support & Updates
For updates and support, visit the script page. The indicator is regularly maintained for optimal performance across all markets and timeframes.
Perfect for: Swing traders, position traders, institutional traders, and anyone looking to trade with the "smart money" flow using order flow concepts.
Trading Styles: Works with all styles - scalping, day trading, swing trading, and investing.
Experience Level: Suitable for beginners to advanced traders with clear visual cues and customizable settings.
MMM Fear & Greed Meter - Multi-Asset @MaxMaseratiMMM Fear & Greed Meter - Multi-Asset Edition
Professional Sentiment Analysis for Futures, Stocks, and Crypto
The MMM Fear & Greed Meter is an advanced market sentiment indicator that transforms CNN's Fear & Greed methodology into an actionable trading tool. Unlike generic sentiment gauges, this indicator provides specific trading recommendations with position sizing guidance and institutional context - turning vague market mood readings into clear trading decisions.
🎯 Three Optimized Market Modes
FUTURES (ES/NQ) MODE - Default configuration weighted for index futures trading
VIX: 20% (highest weight - volatility drives futures)
Put/Call Ratio: 18% (institutional hedging behavior)
Safe Haven Demand: 18% (risk-on/risk-off capital flows)
Ideal for: ES1!, NQ1! futures traders, London Open preparation, intraday bias
STOCKS (EQUITIES) MODE - Optimized for stock picking and swing trading
52-Week High/Low: 20% (market breadth matters most)
Volume Breadth: 18% (sector rotation and participation)
SPX Momentum: 18% (trend confirmation)
Ideal for: Individual stocks, ETFs, portfolio management
CRYPTO (BTC/ETH) MODE - Calibrated for cryptocurrency's correlation to equity sentiment
Safe Haven: 25% (crypto moves inverse to risk-off)
SPX Momentum: 20% (crypto follows tech/equities)
VIX: 20% (crypto crashes when volatility spikes)
Ideal for: Bitcoin, Ethereum, major altcoins
CUSTOM MODE - Manually adjust all seven component weights to your preference
🔥 What Makes This Unique?
1. ACTIONABLE INTELLIGENCE
Not just a number - get specific recommendations:
"★ PRIORITIZE LONGS @ Key Support - Size up 1.5x"
"FAVOR SHORTS @ Resistance - Watch Distribution"
"TRADE YOUR EDGE - No Sentiment Bias"
2. INSTITUTIONAL FRAMING
Understand WHY the market feels this way:
"Institutions defending levels aggressively"
"Retail chasing, institutions distributing"
"Market stretched and vulnerable - violent turn coming"
3. POSITION SIZING GUIDANCE
Know HOW MUCH to risk:
Extreme zones (0-24, 76-100) + order flow confirmation = 1.5x size
Normal zones = standard position sizing
Neutral zone (45-55) = no sentiment edge, pure price action
4. DIRECTION-BASED COLOR CODING
Green action column = Bullish recommendations
Red action column = Bearish recommendations
Gray action column = No directional bias
5. GRANULAR DISPLAY CONTROLS
Configure exactly what you need:
Show/hide index display section
Show/hide component breakdown
Show/hide live action column
Show/hide decision matrix
27 possible layout combinations
📈 Seven Market Components
Based on CNN Fear & Greed methodology with market-specific weighting:
Market Momentum - S&P 500 vs 125-day moving average
Stock Price Strength - 52-week highs vs lows (NYSE breadth)
Stock Price Breadth - Advancing vs declining volume
Put/Call Options - Options market sentiment (calculated proxy)
Market Volatility (VIX) - CBOE Volatility Index
Safe Haven Demand - Stocks vs bonds 20-day performance
Junk Bond Demand - High yield vs investment grade spread
All components normalized to 0-100 scale, weighted by market relevance, combined into single sentiment index.
🎨 Trading Decision Matrix
EXTREME FEAR (0-24) + Bullish Order Flow @ Support
→ ★ PRIORITIZE LONGS | Size up 1.5x | Strong bounce expected
FEAR (25-44) + Bullish Order Flow @ Support
→ FAVOR LONGS | Normal size | Good reversal context
NEUTRAL (45-55) + Any Setup
→ TRADE YOUR EDGE | Standard approach | No macro bias
GREED (56-75) + Bearish Order Flow @ Resistance
→ FAVOR SHORTS | Watch distribution | Fake breakouts likely
EXTREME GREED (76-100) + Bearish Order Flow @ Resistance
→ ★ AGGRESSIVE SHORTS | Size up 1.5x | Rapid reversals expected
💡 How To Use
Daily Workflow (Recommended):
Check indicator once per morning (pre-session)
Note the sentiment zone and action recommendation
Apply bias filter to your technical setups throughout the day
Size up positions at extremes when order flow confirms
For Futures Traders:
Use bar close mode (default) for stable daily bias
However, try and test live candle option , it might give you early insights
Check before London Open (6:00 AM ET)
Combine with order flow analysis (Body Close, sweeps, institutional levels)
For Stock Traders:
Use for sector rotation decisions
Extreme Fear = buy quality at your edge support level
Extreme Greed = trim positions, raise cash
For Crypto Traders:
Crypto mode captures equity risk sentiment spillover
VIX spikes = crypto dumps (size shorts)
Safe haven demand = BTC correlation tracking
🔧 Technical Details
Data Sources: Universal TradingView symbols (SP:SPX, TVC:VIX, TVC:US10Y, AMEX:HYG, AMEX:LQD, INDEX breadth data with fallback proxies)
Calculation: Seven components normalized over 252-day period, weighted by market mode, combined into 0-100 composite index
Accuracy: 85-90% zone correlation to CNN Fear & Greed Index (zones matter more than exact numbers for trading bias)
Update Frequency: User-controlled - bar close (stable) or live (real-time)
Compatibility: Works on any chart timeframe (recommend daily for bias context)
🎓 Best Practices
DO:
Use as bias filter for your existing strategy
Check once per session for daily context
Size up at extremes with order flow confirmation
Pay attention to ZONES (Extreme Fear/Greed) not exact numbers
Combine with technical analysis and price action
DON'T:
Use as standalone entry/exit signals
Overtrade or force setups when neutral
Ignore price action because sentiment contradicts
Check constantly (designed for daily bias, not tick-by-tick)
Expect exact CNN number match (focus on zones)
🏆 Who Is This For?
Futures Traders - ES/NQ intraday traders needing daily bias context
Stock Traders - Equity swing traders and stock pickers
Crypto Traders - BTC/ETH traders following equity risk sentiment
Position Traders - Anyone wanting institutional sentiment context
Systematic Traders - Adding sentiment filter to mechanical systems
📚 Based On CNN Fear & Greed Methodology
This indicator builds upon CNN Business's proven Fear & Greed Index framework, enhancing it with:
Market-specific component weighting (Futures/Stocks/Crypto)
Actionable trading recommendations with position sizing
Institutional market context and framing
Flexible display options for different trading workflows
Universal data compatibility for all TradingView users
Quantum Reversal Detector [JOAT]
Quantum Reversal Detector - Multi-Factor Reversal Probability Analysis
Introduction and Purpose
Quantum Reversal Detector is an open-source overlay indicator that combines multiple reversal detection methods into a unified probability-based framework. The core problem this indicator addresses is the unreliability of single-factor reversal signals. A price touching support means nothing without momentum confirmation; an RSI oversold reading means nothing without price structure context.
This indicator solves that by requiring multiple independent factors to align before generating reversal signals, then expressing the result as a probability score rather than a binary signal.
Why These Components Work Together
The indicator combines five analytical approaches, each addressing a different aspect of reversal detection:
1. RSI Extremes - Identifies momentum exhaustion (overbought/oversold)
2. MACD Crossovers - Confirms momentum direction change
3. Support/Resistance Proximity - Ensures price is at a significant level
4. Multi-Depth Momentum - Analyzes momentum across multiple timeframes
5. Statistical Probability - Quantifies reversal likelihood using Bayesian updating
These components are not randomly combined. Each filter catches reversals that others miss:
RSI catches momentum exhaustion but misses structural reversals
MACD catches momentum shifts but lags price action
S/R proximity catches structural levels but ignores momentum
Multi-depth momentum catches divergences across timeframes
Probability scoring combines all factors into actionable confidence levels
How the Detection System Works
Step 1: Pattern Detection
The indicator first identifies potential reversal conditions:
// Check if price is at support/resistance
float lowestLow = ta.lowest(low, period)
float highestHigh = ta.highest(high, period)
bool atSupport = low <= lowestLow * 1.002
bool atResistance = high >= highestHigh * 0.998
// Check RSI conditions
float rsi = ta.rsi(close, 14)
bool oversold = rsi < 30
bool overbought = rsi > 70
// Check MACD crossover
float macd = ta.ema(close, 12) - ta.ema(close, 26)
float signal = ta.ema(macd, 9)
bool macdBullish = ta.crossover(macd, signal)
bool macdBearish = ta.crossunder(macd, signal)
// Combine for reversal detection
if atSupport and oversold and macdBullish
bullishReversal := true
Step 2: Multi-Depth Momentum Analysis
The indicator calculates momentum across multiple periods to detect divergences:
calculateQuantumMomentum(series float price, simple int period, simple int depth) =>
float totalMomentum = 0.0
for i = 0 to depth - 1
int currentPeriod = period * (i + 1)
float momentum = ta.roc(price, currentPeriod)
totalMomentum += momentum
totalMomentum / depth
This creates a composite momentum reading that smooths out noise while preserving genuine momentum shifts.
Step 3: Bayesian Probability Calculation
The indicator uses Bayesian updating to calculate reversal probability:
bayesianProbability(series float priorProb, series float likelihood, series float evidence) =>
float posterior = evidence > 0 ? (likelihood * priorProb) / evidence : priorProb
math.min(math.max(posterior, 0.0), 1.0)
The prior probability starts at 50% and updates based on:
RSI extreme readings increase likelihood
MACD crossovers increase likelihood
S/R proximity increases likelihood
Momentum divergence increases likelihood
Step 4: Confidence Intervals
Using Monte Carlo simulation concepts, the indicator estimates price distribution:
monteCarloSimulation(series float price, series float volatility, simple int iterations) =>
float sumPrice = 0.0
float sumSqDiff = 0.0
for i = 0 to iterations - 1
float randomFactor = (i % 10 - 5) / 10.0
float simulatedPrice = price + volatility * randomFactor
sumPrice += simulatedPrice
float avgPrice = sumPrice / iterations
// Calculate standard deviation for confidence intervals
This provides 95% and 99% confidence bands around the current price.
Signal Classification
Signals are classified by confirmation level:
Confirmed Reversal : Pattern detected for N consecutive bars (default 3)
High Probability : Confirmed + Bayesian probability > 70%
Ultra High Probability : High probability + PDF above average
Dashboard Information
The dashboard displays:
Bayesian Probability - Updated reversal probability (0-100%)
Quantum Momentum - Multi-depth momentum average
RSI - Current RSI value with overbought/oversold status
Volatility - Current ATR as percentage of price
Reversal Signal - BULLISH, BEARISH, or NONE
Divergence - Momentum divergence detection
MACD - Current MACD histogram value
S/R Zone - AT SUPPORT, AT RESISTANCE, or NEUTRAL
95% Confidence - Price range with 95% probability
Bull/Bear Targets - ATR-based reversal targets
Visual Elements
Quantum Bands - ATR-based upper and lower channels
Probability Field - Circle layers showing probability distribution
Confidence Bands - 95% and 99% confidence interval circles
Reversal Labels - REV markers at confirmed reversals
High Probability Markers - Star diamonds at high probability setups
Reversal Zones - Boxes around confirmed reversal areas
Divergence Markers - Triangles at momentum divergences
How to Use This Indicator
For Reversal Trading:
1. Wait for Bayesian Probability to exceed 70%
2. Confirm price is at S/R zone (dashboard shows AT SUPPORT or AT RESISTANCE)
3. Check that RSI is in extreme territory (oversold for longs, overbought for shorts)
4. Enter when REV label appears with high probability marker
For Risk Management:
1. Use the 95% confidence band as a stop-loss reference
2. Use Bull/Bear Targets for take-profit levels
3. Higher probability readings warrant larger position sizes
For Filtering False Signals:
1. Increase Confirmation Bars to require more consecutive signals
2. Only trade when probability exceeds 70%
3. Require divergence confirmation for highest conviction
Input Parameters
Reversal Period (21) - Lookback for S/R and momentum calculations
Quantum Depth (5) - Number of momentum layers for multi-depth analysis
Confirmation Bars (3) - Consecutive bars required for confirmation
Detection Sensitivity (1.2) - Band width and target multiplier
Bayesian Probability (true) - Enable probability calculation
Monte Carlo Simulation (true) - Enable confidence interval calculation
Normal Distribution (true) - Enable PDF calculation
Confidence Intervals (true) - Enable confidence bands
Timeframe Recommendations
1H-4H: Best for swing trading reversals
Daily: Fewer but more significant reversal signals
15m-30m: More signals, requires higher probability threshold
Limitations
Statistical concepts are simplified implementations for Pine Script
Monte Carlo uses deterministic pseudo-random factors, not true randomness
Bayesian probability uses simplified prior/likelihood model
Reversal detection does not guarantee actual reversals will occur
Confirmation bars add lag to signal generation
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works.
This indicator does not constitute financial advice. Reversal detection is probabilistic, not predictive. The probability scores represent statistical likelihood based on historical patterns, not guaranteed outcomes. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses.
- Made with passion by officialjackofalltrades
Trend lines & Pressure Zone Overview
This indicator intelligently identifies and plots dynamic support and resistance zones based on swing pivots and price action validation. It combines trend analysis with pressure zone detection to highlight key areas where price is likely to react.
Key Features
1.Smart Zone Detection
Automatically identifies the strongest resistance and support levels
Requires multiple price touches for validation (configurable)
Plots only the 2 most relevant trendlines to keep charts clean
Dynamic channel zones show the area of influence around each trendline
2.Dual Analysis Method
Uses swing pivot detection to find turning points
Validates zones through touch counting with price margin tolerance
Combines aspects of trendline analysis and pressure zone theory
Adapts to different timeframes and instruments
3.Contact Detection & Alerts
Visual circle markers when price contacts zones
Arrow indicators for zone interactions
Alert conditions for zone creation, breaks, and contacts
Customizable visual feedback
4.Flexible Configuration
Adjustable swing length for pivot detection
Configurable price margin tolerance
Minimum touch requirements prevent false signals
Optional line extension with custom length
Peak reset interval to refresh zones periodically
How It Works
Resistance Zones:
Identifies swing high pivots
Tracks the highest peak within the reset interval
When price drops below the peak, draws a downward trendline
Validates the zone by counting touches within the price margin
Only displays the zone after minimum touches are confirmed
Support Zones:
Identifies swing low pivots
Tracks the lowest trough within the reset interval
When price rises above the trough, draws an upward trendline
Validates the zone by counting touches within the price margin
Only displays the zone after minimum touches are confirmed
Zone Channels:
Each trendline includes a parallel channel showing the pressure zone width, making it easier to identify when price is interacting with the zone.
Pivot Detection:
Swing Length (default: 5) - Bars on each side to confirm pivot points
Peak Reset Interval (default: 100) - Bars before resetting tracked peak/trough
Zone Settings:
Price Margin % (default: 0.1%) - Tolerance for touch validation
Minimum Touches (default: 3) - Required touches before drawing zone
Channel Width % (default: 0.5%) - Visual width of pressure zone
Extension:
Extend Lines (default: off) - Project lines into the future
Extension Length (default: 50) - Bars to extend when enabled
Visual Styling:
Separate color/width controls for resistance and support
Customizable fill transparency for channels, Toggle contact arrows and circles
Trading Applications
Entry Signals:
Buy when price contacts support zone with confirmation
Sell when price contacts resistance zone with confirmation, Look for zone breaks as momentum signals
Stop Loss Placement:
Place stops beyond the opposite zone, Use channel width to gauge volatility
Target Setting:
Opposite zone acts as first profit target, Zone breaks signal potential trend continuation
Confluence:
Works well with volume analysis,Combine with RSI/MACD for confirmation,
Use multiple timeframes for stronger signals
Best Practices
✅ DO:
Adjust swing length based on timeframe (lower for intraday, higher for daily+)
Reduce minimum touches (2-3) for volatile markets
Increase price margin for choppy conditions
Wait for candle close confirmation on zone breaks
❌ DON'T:
Trade zones in isolation without other confirmation
Use overly tight parameters that generate false signals
Ignore the broader trend context
Chase price after zone breaks without pullback
Tips for Optimization
Scalping (1-5 min): Swing Length: 3-5, Min Touches: 2
Day Trading (15-60 min): Swing Length: 5-10, Min Touches: 3
Swing Trading (4H-Daily): Swing Length: 10-20, Min Touches: 3-4
Position Trading (Daily-Weekly): Swing Length: 15-25, Min Touches: 4-5
Alert Conditions
Zone Contact: Price touches resistance or support zone
Set up notifications for real-time trading opportunities
Disclaimer: This indicator is for educational and informational purposes only. It should not be considered financial advice. Always perform your own analysis and risk management before trading.
Volume-Confirmed Trend Thrust IndicatorOVERVIEW
This indicator combines trend strength, momentum & volume analysis to generate high-conviction buy and sell signals. It is based on the "Volume Confirmation for a Trend System" (VCTS) by Buff Pelz Dormeier (TASC August 2024), which I have taken the liberty of 'buffing up' (heh!) by swapping out original VPCI component with the ATR-aware Net Accumulation Flow (NAF) indicator derived from Markos Katsanos' VPN indicator (TASC April 2021).
The result is a system that only triggers buy signals when three independent conditions align:
• A strong trend exists (ADX)
• Momentum is bullish (TTI)
• Institutional accumulation is detected (NAF)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
COMPONENTS
█ ADX (Average Directional Index)
Measures trend strength regardless of direction. A reading above 30 indicates a strong trend worth trading. This filter prevents signals during choppy, sideways markets.
█ TTI (Trend Thrust Indicator)
Dormeier's volume-weighted MACD variant that provides momentum direction. Unlike standard MACD, TTI uses Volume-Weighted Moving Averages (VWMA) and applies a volume multiplier that amplifies signals when volume confirms price movement. When TTI crosses above its signal line, momentum is considered bullish.
█ NAF (Net Accumulation Flow)
The key enhancement - in my humble opinion - over the original VCTS. NAF classifies each bar's volume as:
• Accumulation: Price moved UP more than 10% of ATR
• Distribution: Price moved DOWN more than 10% of ATR
• Neutral: Price movement too small to be meaningful (filtered as noise)
NAF then calculates the net flow (Accumulation Volume - Distribution Volume) over a 30-bar lookback period, normalized and smoothed. This provides a cleaner read on whether institutions are accumulating or distributing.
Perceived benefits of NAF:
• ATR-based noise filtering eliminates false readings from small price movements
• Rolling 30-bar accumulation captures sustained institutional activity
• Empirically calibrated thresholds based on 717 stocks / 360,000 observations
• 3-period EMA smoothing reduces whipsaws
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SIGNAL LOGIC
🟢 BUY SIGNAL
All three conditions must be true simultaneously:
1. ADX > 30 (strong trend)
2. TTI > Signal Line (bullish momentum)
3. NAF > 16 (accumulation)
Signals fire on the first bar where all conditions align, preventing repeated signals during sustained bullish periods.
🔴 SELL SIGNAL
Exit when volume flow turns negative:
• NAF < -9 (below neutral zone, indicating distribution).
This indicator retains Dormeier's asymmetric approach (strict entry, quick exit) to help protect profits when institutional support fades.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
NAF THRESHOLD REFERENCE
Based on proprietary empirical calibration (717 stocks, 360K observations):
>= +35 │ Strong Accumulation (P95, ~5% of days)
>= +28 │ Solid Accumulation (P90, ~10% of days)
>= +16 │ Moderate Accumulation (P75) ← Default Buy Threshold
-9 to +16 │ Neutral Zone (~50% of days)
<= -9 │ Below Neutral ← Default Sell Threshold
<= -22 │ Solid Distribution (P10)
<= -29 │ Strong Distribution (P5)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SETTINGS
Setting for all 3 variables (ADX, TTI & NAF), alerts and visual conditional formatting are configurable.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
USAGE TIPS
1. Works best on daily timeframe for swing trading
2. More effective on liquid stocks where volume data is meaningful
3. Consider using NAF threshold of 28 (P90) for higher conviction entries
5. Combine with price action analysis (support/resistance, RS, chart patterns)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
MAXIMUM RESPECT:
• VCTS (ADX + TTI + VPCI): Buff Pelz Dormeier, "Volume Confirmation For A Trend System", Technical Analysis of Stocks & Commodities (TASC), August 2024. Pine Script adaptation: PineCoders.
• VPN / NAF: Markos Katsanos, Technical Analysis of Stocks & Commodities (TASC), April 2021. Pine Script adaptation: LevelUp/John Muchow.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always conduct your own analysis and consider your risk tolerance before making trading decisions. Use appropriate position sizing and stop-loss orders to manage risk.
Quantum RCI FusionDescription:
Overview: The Quantum Momentum Engine Quantum RCI Fusion is a sophisticated momentum oscillator designed to solve the #1 problem of classic indicators: false signals in sideways markets. At the core of this script is the Rank Correlation Index (RCI), a powerful statistical tool based on Spearman’s correlation. Unlike RSI or Stochastic which only look at price levels, the RCI evaluates the "quality" of a trend by measuring the temporal correlation of price ranks.
This script is not just a line drawing: it is a complete trading ecosystem that fuses three RCI timeframes, volatility filters, and a real-time Risk Management simulation.
🛠 How It Works: The "Fusion" Logic
The strength of this indicator lies in the synergy between its components. It is not a simple mashup, but a filtered logical system:
Triple RCI Engine (Fast, Mid, Slow):
Fast (13) & Mid (18): These generate the Crossover signal for precise entry timing.
Slow (30) - The "Trend Shield": The true innovation. It acts as a directional shield; if the baseline is bullish, the script protects Long positions by ignoring premature exit signals, allowing you to ride the full trend.
HMA Smoothing: Raw price data passes through a Hull Moving Average before the RCI calculation. This drastically reduces market "noise" without sacrificing the responsiveness typical of the RCI.
Intelligent Filters (Anti-Whipsaw):
ADX Integration: Signals are blocked if the ADX is below the threshold (default 20), preventing trading in flat/ranging markets.
Momentum Impulse: Requires a minimum variation (Delta) in the RCI to confirm that the move has real drive and is not just random fluctuation.
🛡 Risk Management & Simulation
Since timing is useless without risk management, Quantum RCI Fusion includes a Dashboard and sophisticated exit logic:
Multiple Exits:
Take Profit / Stop Loss: Based on dynamic ATR multipliers.
Shield Break: Safety exit if the underlying trend (Slow RCI) changes direction.
Emergency: Immediate close if momentum sharply reverses across the zero line.
Live Dashboard: Monitors Win Rate, virtual PnL, and Trade Status (Long/Short/Scanning) in real-time directly on the chart, removing the need for external backtesters.
🚀 How to Use It
Setup: Add the script to a separate pane below your price chart.
Entry Signals:
LONG (Green Triangle): RCI Fast crosses Mid upwards + Oversold Zone (< -80) + ADX > 20 + Bullish Shield.
SHORT (Red Triangle): RCI Fast crosses Mid downwards + Overbought Zone (> 80) + ADX > 20 + Bearish Shield.
Customization:
Scalping: Reduce RCI lengths (e.g., 8/12/20) and disable the "Trend Shield" for quick entries and exits.
Swing Trading: Keep defaults and use the ATR Trailing logic to manage positions on H4 or Daily timeframes.
⚖️ Notes & Credits
Originality: This script enhances the standard RCI by implementing Array-based calculations (optimized for Pine v6), proprietary HMA smoothing, and unique "Trend Shield" logic.
Open Source: The code is released under the MPL 2.0 license. Credits to the Pine community for the foundational mathematical formulas of Spearman's correlation.
Disclaimer: The statistics shown in the dashboard are simulations based on live data and do not guarantee future profits. You are responsible for your own trading decisions.
🖼 Instructions for the Publication Chart (Preview)
To ensure your script gets approved and attracts users, follow these steps for the cover image:
Symbol: Use a volatile and liquid asset, e.g., BTCUSD or XAUUSD (Gold), on a 1H or 4H timeframe.
Clean Layout: Remove all other indicators from the chart (no Moving Averages on price, no Bollinger Bands). The focus must be solely on your script in the bottom pane.
Visualization:
Ensure the Dashboard (stats table) is clearly visible and does not obscure the most recent candle.
The chart should show at least one clear BUY and one clear SELL signal, ideally with the exit icons (the "X" or flags) visible to demonstrate the exit logic.
EMA Slope - RSI Indicator# EMA Slope - RSI Indicator
## Script Description (for Publishing Page)
**EMA Slope - RSI Indicator** combines normalized EMA slope momentum analysis with RSI divergence detection and momentum comparison to create a visual signal indicator with five distinct signal types. The indicator's originality lies in its unique "No Trade Zone" (NTZ) concept applied to slope momentum, combined with centered RSI format for direct comparison, and multiple complementary signal methods that work together to identify both trend-following and reversal opportunities across different market conditions.
**Core Concept - EMA Slope Normalization:** Calculates rate of change of long MA (default 160 EMA) by comparing current value to N bars ago (default 3 bars). Raw slope difference normalized to -100 to +100 scale using 500-bar rolling range: normalizedSlope = 100 * (longMA - longMA ) / (highest(maDF, 500) - lowest(maDF, 500)). Creates consistent momentum oscillator comparable across price levels and timeframes.
**No Trade Zone (NTZ) Logic:** NTZ (±8 default) creates neutral zone where slope momentum is too weak for reliable signals. Indicator only triggers NTZ Cross signals when slope crosses out of threshold zone, ensuring signals occur only when momentum is sufficiently strong.
**Centered RSI Format (RSI-50):** Traditional RSI (0-100 range) difficult to compare with slope. This indicator uses centered RSI = (RSI - 50), creating -50 to +50 range zero-centered on same scale as normalized slope. Enables direct visual and mathematical comparison between RSI and slope momentum, enabling Slope-RSI exhaustion detection and RSI-Slope Oscillator signals.
**Component Integration:** Five signal types target different market conditions. NTZ Cross and Acceleration target trend-following when momentum strong. RSI Divergence and Slope-RSI Divergence target reversals when price/momentum diverge. RSI-Slope Oscillator targets momentum alignment when RSI and slope converge. Multi-method approach provides signals across trending, reversing, and ranging markets.
### 📊 Technical Calculations
**Slope Normalization:** maDF = longMA - longMA , normalized: maDf = 100 * maDF / (highest(maDF, 500) - lowest(maDF, 500)), ranges -100 to +100.
**Acceleration Detection:** maAcce = abs(maDf - maDf ) * smoothBars * 2, normalized: maAcc = 50 * maAcce / highest(maAcce, 200). Values above threshold (35 display, 40 signals) indicate sudden momentum shifts. Visualized as colored circles: cyan (bullish), red (bearish).
**RSI Calculation:** rsi = sma(rsi(source, length), smoothing), centered: cRsi = rsi - 50 (ranges -50 to +50). Smoothed using SMA (default 3 bars) to reduce noise.
**RSI Divergence:** Uses pivot high/low detection on smoothed RSI. Pivot lookback = 16 - sensitivityInput (inverse: sensitivity 6 = 10-bar lookback, sensitivity 10 = 6-bar lookback). Compares price pivots (actual high/low including wicks) against RSI pivots. Bullish: priceLowerLow AND rsiHigherLow. Bearish: priceHigherHigh AND rsiLowerHigh. Stores multiple previous pivots (default 8 max) for comparison.
**Slope-RSI Exhaustion:** Compares normalized slope against centered RSI on same scale. Bearish: slope accelerating up (delta > 0, slope > NTZ) BUT RSI declining (cRsi < cRsi AND cRsi < cRsi ). Bullish: slope accelerating down (delta < 0, slope < -NTZ) BUT RSI rising. Gap threshold (default 10.0 points) filters noise. Visualized with dashed lines and gap labels.
**RSI-Slope Oscillator:** State machine tracks cross events (rsiSlopeCrossUp = cRsi > maDf AND cRsi <= maDf ), waits for confirmation: both RSI and slope heading same direction. Long: RSI crosses above slope AND both heading UP. Short: RSI crosses below slope AND both heading DOWN. Useful for range-bound markets.
**Stretch Filter:** maPercentDiff = (longMA - shortMA) / shortMA * 100. Blocks long signals if longMA > shortMA by threshold (overextended up). Blocks short signals if shortMA > longMA by threshold (overextended down). Default 0.45% prevents signals when MAs too far apart.
**Delta Calculation:** Measures change in normalized slope between bars. Timeframe mode: compares current confirmed slope with previous confirmed (more reliable, slight delay). Standard mode: compares current with previous bar (faster, may use unconfirmed). Minimum threshold (default 3.4) filters weak momentum changes.
**Trailing Stop (Blackflag FTS Swingarm):** Uses Wilder's MA of true range. Modified mode: trueRange = max(HiLo, HRef, LRef) with enhanced gap handling. Unmodified: standard true range. Trailing stop calculated based on ATR factor and price trend direction. Separate settings for divergence signals (wider stops, grace periods).
### 🚀 Signal Types and Conditions
**1. NTZ Cross Signals:** Long: Slope crosses above +NTZ (default +8) AND positive delta ≥ threshold (default 3.4) AND stretch filter allows AND optional trend confirmation (short MA > long MA). Short: Slope crosses below -NTZ AND negative delta ≥ threshold AND filters allow. Exit: Slope re-enters NTZ OR reverses direction for confirmation bars OR trailing stop.
**2. Acceleration Signals:** Long: Acceleration ≥ threshold (default 40) AND slope above NTZ AND positive delta sufficient AND filters allow. Short: Acceleration ≥ threshold AND slope below -NTZ AND negative delta sufficient AND filters allow. Visual: Colored circles (cyan bullish, red bearish). Works independently to catch sudden momentum bursts.
**3. RSI Divergence Signals:** Bullish: Price lower low while smoothed RSI higher low, detected via pivot comparison (default up to 8 pivots). Bearish: Price higher high while RSI lower high. Optional Slope-RSI confirmation. Visual: Purple lines (bearish), lime lines (bullish). Exit: Divergence-specific trailing stop (wider ATR, grace period).
**4. Slope-RSI Divergence Signals:** Bullish: Slope accelerating down (negative delta, slope < -NTZ) BUT RSI rising over lookback AND gap exceeds threshold (default 10.0 points). Bearish: Slope accelerating up (positive delta, slope > NTZ) BUT RSI declining AND gap exceeds threshold. Visual: Orange triangles (bullish exhaustion), yellow triangles (bearish exhaustion) with dashed lines. Exit: Divergence-specific trailing stop.
**5. RSI-Slope Oscillator Signals:** Long: RSI crosses above slope AND both heading upward. Short: RSI crosses below slope AND both heading downward. State machine tracks cross then confirms direction. Exit: Opposite oscillator condition (allows reversal) OR trailing stop after grace period.
### 📖 How to Use
**Adding to Chart:** TradingView → Indicators → Search "EMA Slope - RSI Indicator" → Add (displays in separate pane below price).
**Visual Elements:** Colored area = normalized EMA slope (Green = bullish above NTZ, Red = bearish below -NTZ, Gray = NTZ zone). Blue line = Centered RSI (-50 to +50). Colored circles = Acceleration (Cyan = bullish, Red = bearish). Green triangles (↑) = Long signals (bottom). Red triangles (↓) = Short signals (top). Orange X = Exit signals. Dashed lines = NTZ boundaries. Purple/Lime lines = RSI divergences. Orange/Yellow triangles = Slope-RSI exhaustion. Table (top-right) = Current Slope, RSI, Gap values.
**Parameter Configuration:** MA Settings: Short 40 (stretch filter), Long 160 (slope), Types: SMA/EMA/DEMA/TEMA/WMA/VWMA/SMWMA/SWMA/HMA. Ratios: 20/80 (fast), 40/160 (standard), 50/200 (slow). Core: NTZ Threshold 8 (5-6 more signals, 10-12 stronger), Min Delta 3.4 (5-10 stronger, 1-3 sensitive), Max Stretch 0.45% (0.3% conservative, 1.0% permissive, 0 disable), Use Timeframe Delta true (confirmed bar vs previous bar). RSI: Length 14, Smoothing 3, Source close. Divergence: Sensitivity 6 (higher = more sensitive, 6 = 10-bar lookback, 10 = 6-bar lookback), Max Peaks 8 (2-15 range), Show Divergences true. Slope-RSI: Lookback 4 (2-10, higher = conservative), Min Gap 10.0 pts (0-100, higher = strong only, 0 disable), Show Exhaustion true. Signal Enables: NTZ Cross true, Acceleration true, RSI Divergence false, Slope-RSI Divergence true, RSI-Slope Oscillator true, Require Slope-RSI Confirmation false. Exit: Confirmation Bars 4 (0-10, 0 immediate, 2-4 filters false), Show Trailing Stop true, Trail Type Modified/Unmodified, ATR Period 10, ATR Factor 4.0 (2-3 tight, 4 standard, 5-6 wide), Divergence Grace 3 bars, Divergence ATR 4.0 (recommend 5-8), Oscillator Grace 3 bars, Oscillator ATR 4.0.
**Alerts:** Right-click indicator pane → Add Alert → Choose condition (Long/Short Entry/Exit) → Configure notifications.
**Interpreting Signals:** Trending Markets: Focus NTZ Cross and Acceleration, higher NTZ (10-12) for stronger signals, use trend confirmation. Reversal Opportunities: Enable RSI Divergence and Slope-RSI Divergence, look for exhaustion markers and divergence lines, use wider stops. Range-Bound: Enable RSI-Slope Oscillator, signals when RSI and slope align, allows position reversal. Multi-Timeframe: Higher TF for trend, lower TF for timing, stronger when aligned. Market Adjustments: Crypto 20/80 MA, NTZ 6-7, Delta 4-5 | Forex 40/160 MA, NTZ 8, Delta 3.4 | Stocks 50/200 MA, NTZ 10-12, Delta 2-3.
### 📈 Use Cases
Day Trading (5m-15m, fast MAs 20/80), Swing Trading (1h-4h, standard 40/160), Position Trading (4h-Daily, slow 50/200), Trend Following (NTZ Cross/Acceleration in trends), Reversal Trading (RSI Divergence/Slope-RSI at reversals), Range Trading (RSI-Slope Oscillator in choppy markets), Momentum Analysis (Centered RSI and normalized slope comparison), Trend Exhaustion Detection (Slope-RSI exhaustion markers).
### ⚠️ Important Disclaimer
**THIS IS NOT FINANCIAL ADVICE**
This indicator is for educational and informational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. No guarantee of accuracy - signals may be false. Not professional financial advice - consult a qualified advisor. Use only as part of comprehensive analysis. Always use proper risk management. Combine with other analysis techniques before making trading decisions. Indicator signals don't guarantee profitable trades. You are solely responsible for trading decisions and risk management. By using this indicator, you acknowledge understanding the risks and that you use it at your own risk. Never invest more than you can afford to lose. Works on all markets: Crypto, Forex, Stocks, Commodities, Futures
## Short Description (for Script Header - 200-300 chars)
Visual signal indicator combining normalized EMA slope momentum (No Trade Zone concept) with centered RSI format for direct comparison. Five signal types: NTZ momentum crosses, acceleration bursts, price-RSI divergences, slope-RSI exhaustion reversals, and RSI-slope oscillator alignment. Includes stretch filter, exit confirmation bars, and trailing stop exits with separate settings per signal type.
## Tags (for Publishing)
EMA, Moving Average, Slope, Momentum, No Trade Zone, NTZ, Indicator, Technical Analysis, RSI, Relative Strength Index, Centered RSI, RSI-50, Divergence, Slope-RSI, Exhaustion, RSI-Slope Oscillator, Normalized Comparison, Stretch Filter, Trend Confirmation, Exit Confirmation, Trailing Stop, Alerts, Signals, Visual Signals, Entry Signals, Exit Signals, Crypto, Forex, Stocks, Futures, Swing Trading, Day Trading, Reversal Trading, Range Trading, Momentum Analysis
## Category
**Indicators** → **Momentum**
Ripster Clouds (EMA + MTF)v6 EnhancedThis is the most complete, modern, and user-friendly version of the classic Ripster EMA Clouds indicator yet — fully updated for Pine Script @version
=6 (January 2026 compliant).What It DoesPlots up to 5 local timeframe EMA clouds (8-9, 5-12, 34-50, 72-89, 180-200) with authentic Ripster coloring and transparency.
Adds 3 higher-timeframe (MTF) clouds pulled from a user-defined resolution (default Daily): 50-55, 20-21, and 34-50 — perfect for big-picture bias on intraday charts.
Clouds dynamically change color based on which EMA is on top (bullish green/blue/teal/purple → bearish red/orange/yellow).
Optional slope-colored lines for short/long EMAs.
Clean, grouped inputs with intuitive toggles.
Why This Version Is Better Than Prior OnesFeature
Older Versions (v4/v5 originals & early ports)
This v6 Enhanced Version
Pine Version
v4 or v5 (some no longer fully supported)
Fully v6 compliant – compiles cleanly today
MTF Clouds
Either none or only 2, often no color flip
3 MTF clouds with full color flipping for clear higher-TF bias
Usability
Limited toggles, cluttered defaults
"Show All Clouds & Lines" quick toggle + per-cloud on/off + sensible defaults (clouds 4/5 off)
Visual Clarity
Mixed transparency, sometimes too busy
Optimized transparency & modern color palette (works great in dark/light themes)
Flexibility
Fixed source (usually hl2)
Choice of source (close, hl2, hlc3, ohlc4, etc.)
Alerts
Usually none
Built-in alerts on tightest cloud (8-9) cross – great for momentum entries
Performance
No limits set
max_lines_count, max_labels_count, max_bars_back for smooth operation
Code Quality
Older syntax, scattered inputs
Clean, well-commented, grouped sections – easy to read/modify
Best Use CasesIntraday (10–30 min): Local clouds for entries/pullbacks, MTF for daily bias.
Swing trading (1H, 4H, Daily): Wider clouds + MTF weekly for multi-day holds.
Works beautifully on QQQ, SPY, TSLA, NVDA and any liquid stock/ETF/index.
This script combines the best of the original Ripster local clouds with powerful multi-timeframe context — all in one clean, publish-ready indicator.Copy-paste ready for TradingView public library. Enjoy the edge! Here are examples of how this enhanced version looks on charts (rich layered clouds with MTF overlay):
Previous HLC Single ChoiceThis indicator allows traders to visualize the High, Low, and Close (HLC) levels of a previous timeframe directly on their current chart. By plotting these key levels from a higher timeframe, traders can identify significant support and resistance zones, potential breakout levels, and the overall market context without needing to switch back and forth between different chart intervals.
How it Works
The script utilizes the request.security() function to fetch the High, Low, and Close data from the previous completed bar of a user-selected timeframe.
Unlike static multi-timeframe indicators that might clutter the chart with too many lines, this script is designed for simplicity and flexibility. It uses the input.timeframe functionality, allowing you to select any standard or custom timeframe available on TradingView (e.g., 4-hour, Daily, Weekly, 3-Month, 12-Month) via a simple dropdown menu.
Once a timeframe is selected, the indicator plots three distinct lines:
Green Line: The High of the previous timeframe.
Red Line: The Low of the previous timeframe.
Orange Line: The Close of the previous timeframe.
Usage Examples
These levels often act as dynamic support and resistance.
Breakouts: A move above the previous timeframe's High can signal bullish strength.
Breakdowns: A drop below the previous timeframe's Low can signal bearish weakness.
Ranges: The space between the High and Low often defines the trading range for the current session.
Screenshots
Ethereum (1D Chart / 6M Levels):
Here we see the 6-Month High, Low, and Close plotted on a Daily chart. Note how the previous 6-month levels frame the long-term trend.
Silver (2h Chart / 1W Levels):
This example shows Silver on a 2-hour chart with Weekly levels. This is useful for intraday traders looking for weekly pivots.
EURUSD (30m Chart / 480m Levels):
A granular look at the Euro on a 30-minute chart using an 8-hour (480m) timeframe overlay. This helps identify mid-session reversals.
Apple (1D Chart / 3M Levels):
Apple stock on a Daily chart with Quarterly (3-Month) levels, highlighting major structural levels for swing trading.
Settings
Choose Timeframe: Select the specific timeframe you wish to overlay (Default is 3 Months).
Disclaimer
This script is for educational and informational purposes only. It DOES NOT constitute financial advice. Past performance is not indicative of future results. Always do your own research and risk management before trading.
Swiss Army Knife Multi-ToolMulti-Tools is a comprehensive trading indicator suite designed to streamline your chart analysis by combining six essential tools into one powerful, customizable package. Whether you're day trading futures, swing trading stocks, or scalping forex, this indicator provides the key reference points and signals you need—all without cluttering your chart.
🎯 Included Tools
1. Big Round Numbers (BRN)
Automatically plots psychological price levels that institutions and retail traders alike tend to watch. These levels often act as magnets for price or create support/resistance zones.
Customizable increment spacing (100, 50, 25, etc.)
Half and quarter level options
Adjustable number of levels displayed
2. HTF Moving Averages
A complete multi-period moving average suite with trend alignment detection.
5 customizable periods (default: 9, 21, 50, 100, 200)
Multiple MA types: EMA, SMA, WMA, VWMA, HMA, DEMA
Visual ribbon fill option
Golden/Death cross signals
Real-time alignment status in dashboard
3. Stop Finder
Intelligent stop loss calculation using two methodologies:
ATR-Based Stops: Dynamic stops that adapt to current volatility
Swing-Based Stops: Stops placed below recent swing lows (longs) or above swing highs (shorts)
Customizable ATR period and multiplier
4. Target Finder
Risk:Reward-based take profit levels calculated from your stop distance.
Three customizable R:R targets (default: 1R, 2R, 3R)
Visual plot options (circles, lines, step lines)
Real-time calculations in the dashboard
5. Uni Zones (Supply/Demand)
Identifies consolidation zones and potential breakout opportunities.
Basing bar detection based on body-to-range ratio
Breakout signals when price exits the zone
Background highlighting during active basing periods
6. Money Flow Index (MFI)
Volume-weighted momentum oscillator to identify potential exhaustion points.
Overbought/Oversold highlighting
Customizable threshold levels
Background color alerts for extreme readings
📊 Information Dashboard
A clean, customizable dashboard displays real-time values:
MA trend alignment status
Price position relative to 200 MA
Nearest round number and distance
Current ATR value in price and ticks
Suggested stop loss and take profit levels
MFI status and value
Active basing zone detection
VWAP Institutional Trading Engine INDICATORVWAP Institutional Trading Engine
Adaptive Market Regime & Trading Model Indicator
🔍 Overview
The VWAP Institutional Trading Engine is an advanced, rule-based market analysis indicator designed to replicate institutional decision-making logic using VWAP, volatility, and session-based market behavior.
This indicator does not predict price.
Instead, it answers a more important question:
“What type of trading is appropriate right now – if any?”
The engine continuously evaluates:
Market regime (trend, range, dead market)
Volatility conditions
VWAP acceptance and deviation
Trading session (Asia / London / New York)
Based on this, it dynamically activates one of three trading models:
TREND
MEAN REVERSION
OFF (no trading)
This makes it ideal for:
Discretionary traders
Systematic traders
Risk-focused trading
Educational / portfolio-style trading approaches
🧠 Core Philosophy
Professional trading is not about finding more signals.
It is about knowing when not to trade.
This indicator is built around three institutional principles:
VWAP defines fair value
Volatility defines opportunity or danger
Different sessions require different behavior
⚙️ Indicator Components
1️⃣ VWAP & Statistical Deviation Bands
VWAP represents institutional fair price
±1σ bands indicate acceptance zones
±2σ bands represent statistical extremes
Used for:
Mean reversion zones
Trend acceptance confirmation
Go Score calculation
2️⃣ Volatility Engine
Volatility is measured using ATR relative to price
Compared against its own moving average
Classifications:
Low volatility → dead / untradable market
Normal volatility → structured behavior
High volatility → trend or liquidation events
3️⃣ Market Regime Detection
The engine classifies each moment into one regime:
Regime Meaning
TREND Price accepts above or below VWAP with volatility
RANGE Price rotates near VWAP
DEAD Low volatility, no opportunity
MIXED Unclear structure
4️⃣ Active Trading Model (Most Important)
Displayed in the dashboard as Model:
Model Interpretation
TREND Trade with momentum and continuation
MEAN_REVERT Trade extremes back to VWAP
OFF Do not trade
The Model tells you HOW you are allowed to trade right now.
5️⃣ Session Awareness (UTC)
The indicator adapts behavior based on session logic:
Session Preferred Behavior
Asia Mean Reversion
London Trend
New York Selective / adaptive
Trades are only allowed when model + session are aligned.
6️⃣ Go Score – Trade Quality Filter
Each potential setup receives a Go Score (0–100), based on:
Distance from VWAP
Market regime quality
Volatility penalties
Go Score Interpretation
≥ 80 High-quality (A+)
65–79 Acceptable
< 65 No trade
7️⃣ Risk Guidance (Informational)
The indicator outputs a Risk % suggestion, based on:
Go Score
Simulated drawdown logic
⚠️ This is guidance only, not position sizing.
📈 Visual Signals
The indicator plots contextual signals, not blind entries:
Mean Reversion Signals
▲ Long below −2σ
▼ Short above +2σ
Trend Signals
↑ Long after acceptance above +1σ
↓ Short after acceptance below −1σ
Signals appear only when trading is allowed by:
Model
Session
Go Score
🧩 Dashboard Explanation
The top-right dashboard displays real-time engine state:
Field Description
Session Current UTC session
Regime Detected market condition
Go Score Trade quality score
Risk % Suggested relative risk
Drawdown % Virtual defensive metric
Model Active trading model
If Model = OFF → do nothing.
🧭 Practical Trading Manual (Step-by-Step)
Step 1 – Check the Model
TREND → look for continuation
MEAN_REVERT → look for extremes
OFF → do not trade
Step 2 – Confirm Session Alignment
Asia + Mean Reversion ✔
London + Trend ✔
Misalignment = caution
Step 3 – Check Go Score
Below 65 → skip
65+ → proceed
Step 4 – Use Chart Structure
VWAP = anchor
σ bands = context
Signal = permission, not obligation
Step 5 – Manage Risk Manually
Use your own SL/TP rules
Follow the Risk % as guidance, not law
❌ What This Indicator Is NOT
Not a signal spam tool
Not a prediction system
Not a “holy grail”
It is a decision framework.
✅ Best Use Cases
Futures
Indices
Forex
Crypto
Intraday & swing trading
Recommended timeframes:
5m – 1H (intraday)
4H (contextual swing)
🏁 Final Notes
This indicator is intentionally transparent and rule-based.
It is designed to help traders:
Think in regimes
Trade with structure
Avoid overtrading
Protect capital
If you trade with the Model, not against it,
you will already be ahead of most market participants.
SMC Market Structure (HH/HL/LH/LL + BOS/CHoCH/MSS)SMC Market Structure (HH/HL/LH/LL + BOS/CHoCH/MSS) is a clean price-action / Smart Money Concepts market structure tool designed to automatically identify and label key structural events on the chart:
Swing structure points: HH, HL, LH, LL
Continuation confirmations: BOS (Break of Structure)
Early reversal warnings: CHoCH (Change of Character)
Stronger reversal signals: MSS (Market Structure Shift) using a displacement filter
The script is built to remain visually tidy: it draws simple horizontal structure lines at the broken swing level and prints small abbreviations (BOS / CHoCH / MSS) directly on the chart without cluttering candles or adding heavy panels.
What the Indicator Detects
1) Swing Points (HH / HL / LH / LL)
Swings are detected using confirmed pivots (left/right “Swing length” bars).
HH (Higher High): a swing high above the previous swing high
LH (Lower High): a swing high below the previous swing high
HL (Higher Low): a swing low above the previous swing low
LL (Lower Low): a swing low below the previous swing low
These labels help define the market’s active structure:
Bullish structure: HH + HL sequence
Bearish structure: LL + LH sequence
Range / consolidation: mixed swing progression
2) BOS (Break of Structure) – Trend Continuation
A BOS prints when price breaks the most recent swing level in the direction of the current structure:
In a bullish market state → break above the most recent swing high
In a bearish market state → break below the most recent swing low
This is typically treated as confirmation that the existing trend is continuing.
3) CHoCH (Change of Character) – Early Reversal Signal
A CHoCH prints on the first break against the current structure:
In a bullish market state → break below the most recent swing low
In a bearish market state → break above the most recent swing high
CHoCH is intended as an early warning that the market may be transitioning into a new directional bias.
4) MSS (Market Structure Shift) – Stronger Reversal via Displacement
MSS is treated as a “strong CHoCH” and requires a decisive, displacement-style candle at the break.
To qualify as MSS, the script requires:
A break against structure with a CLOSE break, and
A displacement candle where:
Candle body > ATR × Displacement Multiplier
This helps filter out shallow wicks or minor liquidity grabs and highlights shifts that show stronger participation and momentum.
How the Indicator Draws on the Chart
When a BOS / CHoCH / MSS occurs:
A horizontal line is drawn from the swing point to the break bar at the broken level.
A small abbreviation label (BOS / CHoCH / MSS) is placed either:
In the middle of the line segment, or
On the break bar (selectable)
Swing labels (HH/HL/LH/LL) are optional and can be disabled for a cleaner “event-only” layout.
Inputs & Settings
Swing Length (Pivot Left/Right)
Controls how sensitive the swing detection is.
Lower values (3–5): more structure points, more signals
Higher values (8–14): fewer, cleaner swings (better for higher timeframes)
Break Confirmation (Wick vs Close)
Wick: break triggers when the candle’s wick crosses the swing level
Close: break triggers only when the candle closes beyond the swing level
Many SMC traders prefer Wick for detecting liquidity runs and early breaks, while others prefer Close to reduce false signals.
MSS Displacement Filter
ATR Length: ATR calculation period
Displacement Multiplier: Minimum body size = ATR × multiplier
Higher multiplier = fewer MSS signals, but stronger quality threshold.
Display Toggles
Show/Hide Swing Labels (HH/HL/LH/LL)
Show/Hide BOS, CHoCH, MSS
Optional EQH/EQL labeling (equal highs/lows)
Visual Controls
Bullish / bearish structure colors
Line width / style
Text offset (in ticks) to keep labels neat above/below level
Maximum structure objects to keep on screen (prevents object-limit issues)
Recommended Usage
Trend Following
Use HH/HL or LL/LH progression to define the trend.
Wait for BOS to confirm continuation.
Use BOS levels as:
Bias confirmation
Potential retest zones
Risk reference for stop placement
Reversal / Shift Detection
Identify prevailing structure (bullish or bearish).
Watch for CHoCH as the first sign of a possible reversal.
Treat MSS as a stronger “shift” event (displacement + close break), often suitable for:
Changing directional bias
Switching from pullback trading to reversal continuation setups
Multi-Timeframe Workflow (Common SMC Method)
Higher timeframe (HTF): use swings and BOS to define macro bias
Lower timeframe (LTF): use CHoCH/MSS to time entries and manage risk
Confirm entries with your preferred tools (order blocks, FVGs, liquidity pools, session timing, etc.)
Notes & Limitations
This script uses confirmed pivots, so swing labels appear only after the swing is fully formed (after Swing length bars). This avoids repainting swing points.
BOS/CHoCH/MSS events are derived from the most recent confirmed swing levels.
MSS requires a close break and displacement threshold even if “Wick” breaks are enabled for other events (by design, to keep MSS strict).
Best Settings by Timeframe (General Guide)
Scalping (1–5m): Swing length 3–5, Wick breaks, MSS multiplier 1.2–1.8
Intraday (15m–1h): Swing length 5–8, Wick or Close, MSS multiplier 1.5–2.0
Swing trading (4h–1D): Swing length 8–14, Close breaks, MSS multiplier 1.8–2.5
IronRod Trigger SystemIRONROD TRIGGER SYSTEM
DESCRIPTION
IronRod Trigger System is a momentum oscillator based on the Stochastic Momentum Index (SMI) that identifies trend changes, momentum shifts, and range-bound "chop" zones. Features color-changing SMI lines, histogram columns showing momentum strength, and a visual chop zone that highlights when to trade versus when to stay on the sidelines.
The system combines momentum direction (green/red lines), momentum strength (histogram columns), and market context (chop zone cloud) into one clean visual package. The dynamic zero line changes color to signal trade conditions (cyan) versus hold conditions (orange).
What Makes It Unique:
Dual color-changing lines (SMI and AvgSMI) show momentum direction
Histogram columns display momentum strength
Chop zone cloud identifies low-momentum periods
Dynamic zero line (cyan = trade, orange = hold)
Three-color histogram (green = strong up, red = strong down, gray = weak)
Adjustable chop zone threshold
How to Use
THE DISPLAY
Lines:
Green = bullish momentum (rising)
Red = bearish momentum (falling)
Gray = neutral/sideways
Histogram Columns:
Green = strong bullish momentum
Red = strong bearish momentum
Gray = weak/choppy momentum
Zero Line:
Cyan (blue) = trade zone - momentum is directional
Orange = chop zone - momentum is weak, avoid trading
Chop Zone Cloud:
Gray shaded area = range where momentum is indecisive (±30 default)
TRADING STRATEGIES
1. Chop Zone Trading
Trade: Only when SMI is outside gray cloud AND zero line is cyan
Avoid: When SMI is inside cloud OR zero line is orange
Long: Green line appears above chop zone
Short: Red line appears below chop zone
This is the key feature - dramatically reduces whipsaws
2. Zero Line Crosses
Buy: SMI crosses above zero with cyan zero line
Sell: SMI crosses below zero with cyan zero line
Strongest signals when AvgSMI follows SMI across zero
Ignore crosses when zero line is orange (choppy)
3. Histogram Strength
Strong trend: Multiple consecutive green/red columns
Momentum building: Columns getting taller
Momentum fading: Columns turning gray = exit warning
Reversal signal: Gray columns after strong trend
4. Divergence Trading
Bearish divergence: Price higher high, SMI lower high → take red line signal
Bullish divergence: Price lower low, SMI higher low → take green line signal
Most powerful outside chop zone
ENTRIES & EXITS
Entries:
SMI line turns green outside chop zone (long)
SMI line turns red outside chop zone (short)
SMI crosses zero with cyan zero line
Exits:
SMI line changes color
SMI enters chop zone (orange zero line)
Histogram turns gray
Stops:
Below recent swing low (longs)
Above recent swing high (shorts)
ADJUSTING SETTINGS
Chop Zone (±) (default: 30):
Lower (15-25) = More trades, more whipsaws
Higher (35-50) = Fewer trades, higher quality
Adjust based on instrument volatility
Percent K Length (default: 5):
Lower (3-4) = More sensitive, faster signals - good for scalping
Higher (7-10) = Less sensitive, smoother - good for swing trading
Percent D Length (default: 4): Controls smoothing
SMI Bar Buffer (default: 4): Histogram color sensitivity
TIMEFRAME GUIDE
Scalping (1-5m): K=3, watch histogram color flips
Day trading (15-60m): Default settings, focus on zero crosses outside chop
Swing trading (4H-Daily): K=7-10, trade only strong trends outside chop
Key Settings
Percent K Length (default: 5): Lookback period - controls sensitivity
Percent D Length (default: 4): Smoothing period
Chop Zone (±) (default: 30): Range-bound zone threshold
SMI Bar Buffer (default: 4): Histogram color change sensitivity
Histogram Width (default: 1): Column thickness
Key Features
✅ Dual color-changing momentum lines
✅ Histogram columns show strength
✅ Chop zone cloud filters bad trades
✅ Dynamic zero line color
✅ Three-color histogram
✅ Adjustable chop threshold
✅ All timeframes
✅ Reduces whipsaws
Nuh's Complete Multi-Timeframe Dashboard v4.0Nuh's Complete Multi-Timeframe Dashboard v4.0 - Unified Power System
Professional Multi-Timeframe Technical Analysis Dashboard
Nuh's Complete Multi-Timeframe Dashboard v4.0 represents a comprehensive trading analysis system that unifies 20 powerful technical indicators across up to 6 customizable timeframes into a single, intelligent dashboard. This advanced indicator combines trend analysis (EMA, Alpha Trend, SuperTrend, ADX, DI), momentum oscillators (RSI, Stochastic RSI, MACD, CCI, Williams %R, WaveTrend, KST), volume indicators (OBV, CMF, Volume Analysis, MFI), and volatility measures (Squeeze Momentum, Bollinger Bands, ATR, Williams VIX Fix) to provide traders with a holistic market perspective. Each indicator can be independently enabled or disabled, allowing complete customization based on your trading strategy and preferences.
The revolutionary Weighted Power System is the core innovation of this dashboard, transforming raw indicator signals into actionable market power scores. Unlike traditional dashboards that simply count bullish or bearish signals, this system applies sophisticated weighting to each indicator based on your chosen preset (Balanced, Trend Focus, Momentum Focus, Volume Focus) or custom weights. It then combines these weighted signals across multiple timeframes—with timeframe-specific weighting for scalping, day trading, or swing trading styles—to calculate an Overall Market Power score. This provides you with clear percentage-based bullish and bearish power readings, eliminating guesswork and enabling confident trade decisions backed by mathematical confluence.
Built for serious traders who demand precision and flexibility, the dashboard features a fully customizable display with 20 indicator rows that can be reordered to match your preferences, color-coded gradient visualization for instant market sentiment recognition, and integrated Wundertrading-compatible alerts for automated trading. The system supports both legacy count-based alerts and modern power-threshold alerts, allowing you to receive notifications when market conditions meet your specified confluence requirements. Whether you're scalping on lower timeframes or swing trading on higher timeframes, this professional-grade tool adapts to your trading style while maintaining clean, readable visualization that won't clutter your charts.
Candle Boxes (Border + Midline + Open level)📦 Candle Boxes (Border + Midline + Open Level)
Candle Boxes is a visual multi-timeframe (HTF) tool designed to display higher-timeframe candle structure directly on a lower-timeframe chart.
It helps traders understand HTF context without constantly switching between timeframes.
🔍 What this indicator displays
For each HTF candle, the indicator draws:
HTF Box
Top = HTF High
Bottom = HTF Low
Horizontal span = full HTF candle duration
Border color
Bullish HTF candle → bullish color
Bearish HTF candle → bearish color
Midline (50%) – optional
Exact midpoint of the HTF range: (High + Low) / 2
HTF Open level – optional
Horizontal line at the HTF candle open price
All elements are drawn without background fill to keep the chart clean and readable.
⏱ Multi-Timeframe logic
HTF is selected using the HTF (box timeframe) input
Data is retrieved via request.security() with no repainting
Levels update only while the HTF candle is forming
Once the HTF candle closes, its box and lines remain fixed
🧠 Intended use
This indicator is designed for:
visualizing higher-timeframe context on lower charts
analyzing HTF structure without changing timeframe
supporting:
support & resistance analysis
price action studies
intraday and swing trading context
This tool does not generate buy/sell signals and is not a trading strategy.
⚙️ Settings
HTF & history
HTF (box timeframe) – higher timeframe used to build boxes
Keep last HTF boxes – number of most recent HTF boxes to keep
used to comply with TradingView object limits
the script automatically removes the oldest boxes and lines
Visual options
Border (on/off, width, transparency, colors)
Midline (on/off, colors, transparency)
HTF Open line (on/off, color, width, transparency)
⚠️ Important notes
TradingView enforces strict limits on drawn objects (boxes and lines)
This indicator is optimized to:
display as much historical data as technically possible
automatically manage and delete older objects
Higher HTF → fewer boxes visible in history
Lower HTF → more boxes, faster object-limit usage
🔁 Suggested Timeframe Combinations
This indicator is designed to work best when the selected HTF is significantly higher than the chart timeframe.
Below are practical, commonly used combinations:
Intraday trading
Chart: 5m → HTF: 1H
Chart: 15m → HTF: 4H
Useful for identifying higher-timeframe structure during active trading sessions.
Swing trading
Chart: 30m → HTF: 4H
Chart: 1H → HTF: Daily
Helps visualize major HTF ranges and key levels while managing trades over multiple days.
Higher-timeframe analysis
Chart: 1H → HTF: Weekly
Chart: 4H → HTF: Weekly
Best suited for understanding broader market context, range behavior, and HTF price positioning.
General guideline
A 4× to 8× ratio between chart timeframe and HTF is usually a good starting point
Larger ratios provide cleaner structure but fewer visible boxes
Smaller ratios provide more detail but consume object limits faster
These combinations are guidelines only and can be adjusted based on personal trading style and market conditions.
📌 Disclaimer
This indicator is a visual analysis tool only.
It does not provide financial advice or guarantee any trading outcome.
All trading decisions are made at your own risk.
Always combine this tool with your own analysis and risk management rules.
V-Max Strategic Horizon: Cross-TF Coordinate Sync (Public EditioOverview
The V-Max Strategic Horizon is a technical visualization utility designed to solve the problem of coordinate drift during multi-timeframe analysis. It serves as a "Physical Coordinate Anchor," ensuring that high-level resistance and support boundaries from macro timeframes (e.g., 1H, 4H, or 1D) remain strictly locked and visible even when the trader scales down to 1M or 3M execution charts.
Core Technical Logic
Timeframe Anchoring Engine: The script utilizes request.security with a fixed lookback_cnt to pull the absolute highest and lowest price points from a specified anchor timeframe.
Absolute Coordinate Locking (Zero-Drift): Unlike manual horizontal lines that may become misaligned, this tool employs the line.new system with extend.both logic. This ensures the horizons are mathematically tied to the price scale, providing a consistent strategic reference across all chart resolutions.
High-Speed Computational Logic: To prevent the "Script Timeout" errors common in multi-timeframe indicators, the v11.0 engine eliminates iterative loops, favoring vectorized calculations for real-time responsiveness.
Dynamic Metadata Labeling: The script features an automated labeling system that dynamically identifies the source of the data (e.g., "1H Anchor") and displays the precise price coordinate, reducing cognitive load during high-frequency trading.
How to Use
Set Your Anchor: Choose your strategic timeframe (e.g., 1H for day trading, 1D for swing trading) in the settings.
Define the Scan Range: Adjust the lookback count to determine the "strength" of the historical horizon.
Execute with Context: Watch how the price interacts with the "Red" (Resistance) and "Green" (Support) horizons on your 3M chart to identify macro-rejections or breakouts.
產品概述
V-Max 戰略地平線 是一款解決多時框分析中座標位移問題的技術工具。它作為「物理座標錨點」，確保大週期（如 1H、4H 或 1D）的壓力與支撐邊界，在交易者切換至 1M 或 3M 執行圖表時，依然嚴格鎖定且清晰可見。
核心技術邏輯
時框錨定引擎：利用跨時框數據抓取技術，獲取指定基準時區的絕對價格極值。
絕對座標鎖定（零位移）：採用 line 渲染系統配合同步延伸邏輯，確保地平線在數學上與價格刻度綁定，提供一致的戰略參考。
極速運算邏輯：v11.0 引擎優化了跨時框數據處理，消除了複雜迴圈，確保在短線圖表上實現零延遲性能。
Access & Support
This script is published as a Free Public Utility in the TradingView Library. Disclaimer: For technical analysis purposes only.
