Regression Lineal con ADX EyachayEsta métrica es una derivación de Lazybear y de BeikabuOyaji
En esta metrica proveemos una combinacion de linear regression y del ADX .
Cuando combinamos ambas estrategis podemos identificar los mejores momentos para un short o long.
La metrica te informa del short o long usando la linea cero con circulos. Si el circulo es verde tienes un potencial long y si es rojo puedes tener un potencial short.
Existen 4 niveles de detección:
Normal: Solo te muestra las tendencias claras. Cuando la regresion lineal es positiva y el adx tiene potencia positiva y con fuerza positiva.
Intermidiate: Te muestra el long/short ignorando el nivel de ADX (23)
Avanzado: Ignora la pendiente negativa del ADX solo le importa si tiene fuerza postiva o negativa.
Danger: En este nivel te muestra dos niveles un verde oscuro, verde rojo oscuro y rojo. Los oscuros te muestran una tendencia en desarrollo usando el ADX y la regresion Lineal., pero ignorando el adx a menos que tenga fuerza.
el color verde y rojo usan las mismas reglas del avanzado.
This metric was derivated of the work of Lazybear and BeikabuOyaji
In this metric, we improve a linear regression with adx to calculate the flow of the movement in the trend.
When we combine both strategies, we can identify the best moments to make a short or long.
The current metric provides information using the circles in the 0 line. When this circle is green, it shows us a potential long. If it is red, it shows us a potential short. We also transform the adx visualization to quickly detect the tendency.
There are 4 levels in the long short detection:
Normal: just show you when there is an strong tendency with circle green or red. Green circle if there is a clear tendency with linear regression slope positive and adx slope positive and postive. If there is an slope negative and adx slope positive and negative force the circle will be red.
Intermidiate: show you a long/short ignoring the adx level.
Advanced: Show you a long/short ignoring the adx if it has slope negative.
Danger: Show you a long/short with two level dark green, green or darkred, red. Where dark color represents a none clear tendency. Here ignore the ADX if it doesnt have a positive slope.
Cerca negli script per "adx"
Filtered MACD with Backtest [UAlgo]The "Filtered MACD with Backtest " indicator is an advanced trading tool designed for the TradingView platform. It combines the Moving Average Convergence Divergence (MACD) with additional filters such as Moving Average (MA) and Average Directional Index (ADX) to enhance trading signals. This indicator aims to provide more reliable entry and exit points by filtering out noise and confirming trends. Additionally, it includes a comprehensive backtesting module to simulate trading strategies and assess their performance based on historical data. The visual backtest module allows traders to see potential trades directly on the chart, making it easier to evaluate the effectiveness of the strategy.
🔶 Customizable Parameters :
Price Source Selection: Users can choose their preferred price source for calculations, providing flexibility in analysis.
Filter Parameters:
MA Filter: Option to use a Moving Average filter with types such as EMA, SMA, WMA, RMA, and VWMA, and a customizable length.
ADX Filter: Option to use an ADX filter with adjustable length and threshold to determine trend strength.
MACD Parameters: Customizable fast length, slow length, and signal smoothing for the MACD indicator.
Backtest Module:
Entry Type: Supports "Buy and Sell", "Buy", and "Sell" strategies.
Stop Loss Types: Choose from ATR-based, fixed point, or X bar high/low stop loss methods.
Reward to Risk Ratio: Set the desired take profit level relative to the stop loss.
Backtest Visuals: Display entry, stop loss, and take profit levels directly on the chart with
colored backgrounds.
Alerts: Configurable alerts for buy and sell signals.
🔶 Filtered MACD : Understanding How Filters Work with ADX and MA
ADX Filter:
The Average Directional Index (ADX) measures the strength of a trend. The script calculates ADX using the user-defined length and applies a threshold value.
Trading Signals with ADX Filter:
Buy Signal: A regular MACD buy signal (crossover of MACD line above the signal line) is only considered valid if the ADX is above the set threshold. This suggests a stronger uptrend to potentially capitalize on.
Sell Signal: Conversely, a regular MACD sell signal (crossunder of MACD line below the signal line) is only considered valid if the ADX is above the threshold, indicating a stronger downtrend for potential shorting opportunities.
Benefits: The ADX filter helps avoid whipsaws or false signals that might occur during choppy market conditions with weak trends.
MA Filter:
You can choose from various Moving Average (MA) types (EMA, SMA, WMA, RMA, VWMA) for the filter. The script calculates the chosen MA based on the user-defined length.
Trading Signals with MA Filter:
Buy Signal: A regular MACD buy signal is only considered valid if the closing price is above the MA value. This suggests a potential uptrend confirmed by the price action staying above the moving average.
Sell Signal: Conversely, a regular MACD sell signal is only considered valid if the closing price is below the MA value. This suggests a potential downtrend confirmed by the price action staying below the moving average.
Benefits: The MA filter helps identify potential trend continuation opportunities by ensuring the price aligns with the chosen moving average direction.
Combining Filters:
You can choose to use either the ADX filter, the MA filter, or both depending on your strategy preference. Using both filters adds an extra layer of confirmation for your signals.
🔶 Backtesting Module
The backtesting module in this script allows you to visually assess how the filtered MACD strategy would have performed on historical data. Here's a deeper dive into its features:
Backtesting Type: You can choose to backtest for buy signals only, sell signals only, or both. This allows you to analyze the strategy's effectiveness in different market conditions.
Stop-Loss Types: You can define how stop-loss orders are placed:
ATR (Average True Range): This uses a volatility measure (ATR) multiplied by a user-defined factor to set the stop-loss level.
Fixed Point: This allows you to specify a fixed dollar amount or percentage value as the stop-loss.
X bar High/Low: This sets the stop-loss at a certain number of bars (defined by the user) above/below the bar's high (for long positions) or low (for short positions).
Reward-to-Risk Ratio: Define the desired ratio between your potential profit and potential loss on each trade. The backtesting module will calculate take-profit levels based on this ratio and the stop-loss placement.
🔶 Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Advanced EMA Cross with Normalized ATR Filter, Controlling ADX
Description:
This strategy is based on EMA cross strategy and additional filters are used to get better results, a normalized ATR filter, and ADX control...
It aims to provide traders with a code base that generates signals for long positions based on market conditions defined by various indicators.
How it Works:
1. EMA: Uses short (8 periods) and long (20 periods) EMAs to identify crossovers.
2. ATR: Uses a 14-period ATR, normalized to its 20-period historical range, to filter out noise.
3. ADX: Uses a 14-period RMA to identify strong trends.
4. Volume: Filters trades based on a 14-period SMA of volume.
5. Super Trend: Uses a Super Trend indicator to identify the market direction.
How to Use:
- Buy Signal: Generated when EMA short crosses above EMA long, and other conditions like ATR and market direction are met.
- Sell Signal: Generated based on EMA crossunder and high ADX value.
Originality and Usefulness:
This script combines EMA, ATR, ADX, and Super Trend indicators to filter out false signals and identify more reliable trading opportunities.
USD Strength in the code is not working, just simulated it as PSEUDO CODE:
Strategy Results:
- Account Size: $1000
- Commission: Not considered
- Slippage: Not considered
- Risk: Manageable through parameters, now less than 5% per trade
- Dataset: Aim for more than 100 trades for a sufficient sample size
- Test Conditions: Test in 30 min chart for BTCUSDT
IMPORTANT NOTE: This script should be used for educational purposes and should not be considered as financial advice.
Chart:
- The script's output is plotted as Buy and Sell signals on the chart.
- No other scripts are included for clarity.
- Have tested with 30mins period
- You are encouraged to play with parameters, let me know if it helps you and/or if you can upgrade the code to a better level.
WHY DID I USE ATR AND ADX?
ATR filter is usually used for the following purposes.
Market Volatility: ATR measures how volatile the market is. High ATR values indicate that the price is experiencing significant fluctuations.
Filtering: Crossing a certain ATR threshold may indicate that the market is active enough to present trading opportunities.
Risk Management: ATR can also be used to set stop-loss and take-profit levels, helping to manage risk effectively.
And ADX is usually used for;
Trend Strength: ADX measures the strength of a trend. High ADX values indicate a strong trend.
Filtering: An ADX value above a certain level suggests that the trend is strong and it might be safer to trade.
Versatility: ADX does not indicate the direction of the trend, only its strength. This makes it useful in both bullish and bearish markets.
Using these indicators together can help filter out false signals and produce more reliable trading signals. While ATR helps to determine if the market is active enough, ADX measures the strength of the trend. Combined, they can create a more complex and effective trading strategy.
I've used ADX data to support generating a buy signal after a golden cross (bullish trend) and waiting until this is a strong trend. It sounds good to check for different trend strengths for bullish and bearish markets to decide a buy signal. Additionally I used ATR to check if the market has enough fluctuations.
MrBS:Directional Movement Index [Trend Friend]I started this project with the goal of making a DMI/ADX that was easy to read at a glance. Its since become a little more then just colouring the slopes. The majority of the time, the best returns come from trending markets (THE TREND IS YOUR FRIEND... until the end) and I hope this helps people become good friends with the trends.
----- Features
- A function to change the values used for calculation from real OHLC and Heikin Ashi. This allows us to look at different chart types but see the specific ADX we choose. Originally HA values were used for calculation since it is easier to see trend on HA charts. However when testing it was not as effective as the ADX calculated from the real values on normal charts. So the default function was flipped and real OHLC values are used as default.
- Two ADX plots so we can see two different smoothness's. With a smoothing of 2, a slight slow down in PA can cause a negative slope but the smoother ADX will stay trending unless its a major change. 2nd ADX is slightly transparent.
- There is an EMA of the main ADX that can be used as a exit signal filter. If the ADX starts going down but has not crossed the EMA we would stay in a trade.
- Plots (excluding EMA) are coloured based on positive or negative slopes.
- Fibonacci numbers have been used to create different trend levels, instead of the standard 25, 50, 100.
- Alerts for every useful situation to help save time and not have to manually enter levels or crosses each time.
- In the code there are 8 EMAs and 3 ADXs but it was too much so they have been slashed out, but are fully functional if you choose to activate and use them. To reactivate the 3rd ADX delete slashes on lines 50, 65, 78, 92-95, 165. The slashed out EMAs are much more obvious and easy to reactivate.
Colours:
ADX going up = Green
ADX going down = Red
DMI+ going up = Bright Aqua
DMI+ going down = Turquoise / Dark Aqua
DMI- going up = Bright Purple
DMI- going down = Dark Purple
EMA = White (50% transparent)
If there is anything that would be useful, let me know and I will add it in. I've already got some improvements/changes planned and some of my notes can be found in the code.
There is also a strategy to go with this indicator that will be uploaded very soon.
Linear Regression Forecast (ADX Adaptive)Linear Regression Forecast (ADX Adaptive)
This indicator is a dynamic price projection tool that combines multiple linear regression forecasts into a single, adaptive forecast curve. By integrating trend strength via the ADX and directional bias, it aims to visualize how price might evolve in different market environments—from strong trends to mean-reverting conditions.
Core Concept:
This tool builds forward price projections based on a blend of linear regression models with varying lookback lengths (from 2 up to a user-defined max). It then adjusts those projections using two key mechanisms:
ADX-Weighted Forecast Blending
In trending conditions (high ADX), the model follows the raw forecast direction. In ranging markets (low ADX), the forecast flips or reverts, biasing toward mean-reversion. A logistic transformation of directional bias, controlled by a steepness parameter, determines how aggressively this blending reacts to price behavior.
Volatility Scaling
The forecast’s magnitude is scaled based on ADX and directional conviction. When trends are unclear (low ADX or neutral bias), the projection range expands to reflect greater uncertainty and volatility.
How It Works:
Regression Curve Generation
For each regression length from 2 to maxLength, a forward projection is calculated using least-squares linear regression on the selected price source. These forecasts are extrapolated into the future.
Directional Bias Calculation
The forecasted points are analyzed to determine a normalized bias value in the range -1 to +1, where +1 means strongly bullish, -1 means strongly bearish, and 0 means neutral.
Logistic Bias Transformation
The raw bias is passed through a logistic sigmoid function, with a user-defined steepness. This creates a probability-like weight that favors either following or reversing the forecast depending on market context.
ADX-Based Weighting
ADX determines the weighting between trend-following and mean-reversion modes. Below ADX 20, the model favors mean-reversion. Above 25, it favors trend-following. Between 20 and 25, it linearly blends the two.
Blended Forecast Curve
Each forecast point is blended between trend-following and mean-reverting values, scaled for volatility.
What You See:
Forecast Lines: Projected future price paths drawn in green or red depending on direction.
Bias Plot: A separate plot showing post-blend directional bias as a percentage, where +100 is strongly bullish and -100 is strongly bearish.
Neutral Line: A dashed horizontal line at 0 percent bias to indicate neutrality.
User Inputs:
-Max Regression Length
-Price Source
-Line Width
-Bias Steepness
-ADX Length and Smoothing
Use Cases:
Visualize expected price direction under different trend conditions
Adjust trading behavior depending on trending vs ranging markets
Combine with other tools for deeper analysis
Important Notes:
This indicator is for visualization and analysis only. It does not provide buy or sell signals and should not be used in isolation. It makes assumptions based on historical price action and should be interpreted with market context.
MACD, ADX & RSI -> for altcoins# MACD + ADX + RSI Combined Indicator
## Overview
This advanced technical analysis tool combines three powerful indicators (MACD, ADX, and RSI) into a single view, providing a comprehensive analysis of trend, momentum, and divergence signals. The indicator is designed to help traders identify potential trading opportunities by analyzing multiple aspects of price action simultaneously.
## Components
### 1. MACD (Moving Average Convergence Divergence)
- **Purpose**: Identifies trend direction and momentum
- **Components**:
- Fast EMA (default: 12 periods)
- Slow EMA (default: 26 periods)
- Signal Line (default: 9 periods)
- Histogram showing the difference between MACD and Signal line
- **Visual**:
- Blue line: MACD line
- Orange line: Signal line
- Green/Red histogram: MACD histogram
- **Interpretation**:
- Histogram color changes indicate potential trend shifts
- Crossovers between MACD and Signal lines suggest entry/exit points
### 2. ADX (Average Directional Index)
- **Purpose**: Measures trend strength and direction
- **Components**:
- ADX line (default threshold: 20)
- DI+ (Positive Directional Indicator)
- DI- (Negative Directional Indicator)
- **Visual**:
- Navy blue line: ADX
- Green line: DI+
- Red line: DI-
- **Interpretation**:
- ADX > 20 indicates a strong trend
- DI+ crossing above DI- suggests bullish momentum
- DI- crossing above DI+ suggests bearish momentum
### 3. RSI (Relative Strength Index)
- **Purpose**: Identifies overbought/oversold conditions and divergences
- **Components**:
- RSI line (default: 14 periods)
- Divergence detection
- **Visual**:
- Purple line: RSI
- Horizontal lines at 70 (overbought) and 30 (oversold)
- Divergence labels ("Bull" and "Bear")
- **Interpretation**:
- RSI > 70: Potentially overbought
- RSI < 30: Potentially oversold
- Bullish/Bearish divergences indicate potential trend reversals
## Alert System
The indicator includes several automated alerts:
1. **MACD Alerts**:
- Rising to falling histogram transitions
- Falling to rising histogram transitions
2. **RSI Divergence Alerts**:
- Bullish divergence formations
- Bearish divergence formations
3. **ADX Trend Alerts**:
- Strong trend development (ADX crossing threshold)
- DI+ crossing above DI- (bullish)
- DI- crossing above DI+ (bearish)
## Settings Customization
All components can be fine-tuned through the settings panel:
### MACD Settings
- Fast Length
- Slow Length
- Signal Smoothing
- Source
- MA Type options (SMA/EMA)
### ADX Settings
- Length
- Threshold level
### RSI Settings
- RSI Length
- Source
- Divergence calculation toggle
## Usage Guidelines
### Entry Signals
Strong entry signals typically occur when multiple components align:
1. MACD histogram color change
2. ADX showing strong trend (>20)
3. RSI showing divergence or leaving oversold/overbought zones
### Exit Signals
Consider exits when:
1. MACD crosses signal line in opposite direction
2. ADX shows weakening trend
3. RSI reaches extreme levels with divergence
### Risk Management
- Use the indicator as part of a complete trading strategy
- Combine with price action and support/resistance levels
- Consider multiple timeframe analysis for confirmation
- Don't rely solely on any single component
## Technical Notes
- Built for TradingView using Pine Script v5
- Compatible with all timeframes
- Optimized for real-time calculation
- Includes proper error handling and NA value management
- Memory-efficient calculations for smooth performance
## Installation
1. Copy the provided Pine Script code
2. Open TradingView Chart
3. Create New Indicator -> Pine Editor
4. Paste the code and click "Add to Chart"
5. Adjust settings as needed through the indicator settings panel
## Version Information
- Version: 2.0
- Last Updated: November 2024
- Platform: TradingView
- Language: Pine Script v5
Trend Fusion: ADX&EMA+Ichimoku (Custom)SAME AS THE ORIGINAL (WITHOUT BOTTOM PART)
Trend Fusion: ADX & EMA+Ichimoku is an innovative indicator designed to provide traders with comprehensive insights into market trends. Combining the power of the Average Directional Index (ADX) with Exponential Moving Averages (EMA) and the Ichimoku Cloud, this indicator offers a sophisticated approach to trend analysis.
This indicator stands out for its unique integration of multiple trend-following indicators, offering traders a holistic view of market dynamics. Unlike traditional trend indicators that focus solely on price movements, Trend Fusion incorporates the ADX, EMA, and Ichimoku Cloud to provide a more nuanced understanding of trend strength and direction. By combining these indicators, traders can make more informed decisions and enhance their trading strategies.
How it works:
Trend Fusion generates buy and sell signals based on the convergence of these indicators. A combination of strong ADX readings, EMA crossovers, and alignment with the Ichimoku Cloud confirms trend direction and provides entry and exit points for traders.
Average Directional Index (ADX): Measures the strength of the prevailing trend by analyzing price movements. A rising ADX indicates a strengthening trend, while a falling ADX suggests weakening momentum.
Exponential Moving Averages (EMA): Detects potential trend reversals through crossover signals. A bullish crossover (fast EMA crossing above slow EMA) suggests an uptrend, while a bearish crossover indicates a downtrend.
Ichimoku Cloud: Provides support and resistance levels along with trend direction. Price movements above the cloud indicate bullish sentiment, while movements below the cloud suggest bearish sentiment.
How to useColour codes:
Green Candles: Represent a strong uptrend, indicating robust buying momentum. The intensity of green color deepens with increasing trend strength.
Red Candles: Indicate a strong downtrend, signaling significant selling pressure in the market. The intensity of red color deepens with increasing trend strength.
Yellow Candles: Suggest a weak trend, characterized by indecision and lack of clear direction. The intensity of yellow color varies based on the strength of the trend, with lighter shades indicating weaker trends and darker shades suggesting slightly stronger trends.
Trend Strength: Monitor the ADX to gauge the strength of the prevailing trend. Higher ADX values indicate stronger trends, while lower values suggest weaker trends.
Trend Direction: Confirm trend direction using EMA crossovers and Ichimoku Cloud signals. Look for bullish crossovers and price movements above the cloud for uptrends, and bearish crossovers and movements below the cloud for downtrends.
Entry and Exit Signals: Enter trades when all components align, signaling a strong trend. Use EMA crossovers and cloud confirmations to identify potential entry points, and consider exiting trades when these signals reverse.
The ADX calculation and signal logic are based on the ADX script by PineCoders, with modifications to integrate it into this indicator.
The EMA crossover logic is adapted from the GDAX EMA Cross script by stefano98.
The Ichimoku Cloud calculation and plotting are adapted from the Ichimoku Cloud script by lonesometheblue.
Trading involves risk, and past performance is not indicative of future results. It is recommended to use this indicator alongside other technical analysis tools and risk management strategies.
Trend Fusion: ADX&EMA+IchimokuTrend Fusion: ADX & EMA+Ichimoku is an innovative indicator designed to provide traders with comprehensive insights into market trends. Combining the power of the Average Directional Index (ADX) with Exponential Moving Averages (EMA) and the Ichimoku Cloud, this indicator offers a sophisticated approach to trend analysis.
This indicator stands out for its unique integration of multiple trend-following indicators, offering traders a holistic view of market dynamics. Unlike traditional trend indicators that focus solely on price movements, Trend Fusion incorporates the ADX, EMA, and Ichimoku Cloud to provide a more nuanced understanding of trend strength and direction. By combining these indicators, traders can make more informed decisions and enhance their trading strategies.
How it works:
Trend Fusion generates buy and sell signals based on the convergence of these indicators. A combination of strong ADX readings, EMA crossovers, and alignment with the Ichimoku Cloud confirms trend direction and provides entry and exit points for traders.
Average Directional Index (ADX): Measures the strength of the prevailing trend by analyzing price movements. A rising ADX indicates a strengthening trend, while a falling ADX suggests weakening momentum.
Exponential Moving Averages (EMA): Detects potential trend reversals through crossover signals. A bullish crossover (fast EMA crossing above slow EMA) suggests an uptrend, while a bearish crossover indicates a downtrend.
Ichimoku Cloud: Provides support and resistance levels along with trend direction. Price movements above the cloud indicate bullish sentiment, while movements below the cloud suggest bearish sentiment.
How to use
Colour codes:
Green Candles: Represent a strong uptrend, indicating robust buying momentum. The intensity of green color deepens with increasing trend strength.
Red Candles: Indicate a strong downtrend, signaling significant selling pressure in the market. The intensity of red color deepens with increasing trend strength.
Yellow Candles: Suggest a weak trend, characterized by indecision and lack of clear direction. The intensity of yellow color varies based on the strength of the trend, with lighter shades indicating weaker trends and darker shades suggesting slightly stronger trends.
Trend Strength: Monitor the ADX to gauge the strength of the prevailing trend. Higher ADX values indicate stronger trends, while lower values suggest weaker trends.
Trend Direction: Confirm trend direction using EMA crossovers and Ichimoku Cloud signals. Look for bullish crossovers and price movements above the cloud for uptrends, and bearish crossovers and movements below the cloud for downtrends.
Entry and Exit Signals: Enter trades when all components align, signaling a strong trend. Use EMA crossovers and cloud confirmations to identify potential entry points, and consider exiting trades when these signals reverse.
The ADX calculation and signal logic are based on the ADX script by PineCoders, with modifications to integrate it into this indicator.
The EMA crossover logic is adapted from the GDAX EMA Cross script by stefano98.
The Ichimoku Cloud calculation and plotting are adapted from the Ichimoku Cloud script by lonesometheblue.
Trading involves risk, and past performance is not indicative of future results. It is recommended to use this indicator alongside other technical analysis tools and risk management strategies.
UP DOWN Indicator 1Title: UP DOWN Indicator based on ADX Strategy - Accurate Signal Provider with Enhanced Success Potential
Description:
The Martingale ADX Indicator is a groundbreaking tool meticulously crafted to offer traders unparalleled precision in signal generation and risk management. Leveraging the power of the Average Directional Index (ADX), this indicator provides 100% non-repaint signals on the current candle, guiding traders to opportune and prepare for trade entry with remarkable accuracy.
With a focus on empowering traders across various financial markets, including Forex and Binary Options, this ADX Strategy-1 Indicator introduces a unique approach to trading dynamics. By seamlessly integrating the renowned Martingale Step-1 risk management strategy, this indicator not only minimizes losses but also enhances the potential for success, even in volatile market conditions.
Key Features:
Non-Repaint Signals: The Martingale ADX Indicator stands as a testament to reliability, offering 100% non-repaint signals. Traders can trust in the consistency and not removing losing Signals which is very important to trust the previous generated signals also, eliminating uncertainties and facilitating confident decision-making.
ADX-Based Precision: Built upon the robust framework of the Average Directional Index (ADX), this indicator delivers precise signals tailored to prevailing market trends and volatility levels. Whether trading in longer timeframes or engaging in Binary Options, traders can rely on the Martingale Step-1 ADX Indicator for superior insights.
Next Candle Trading: Seamlessly integrated into trading strategies, signals from the Martingale ADX Indicator prompt action on the subsequent candle. This real-time approach ensures traders stay ahead of market movements, seizing opportunities as they emerge. Giving Signals Once Candle ahead makes traders to prepare early and decide whether they want to enter the trade on presented Signal or not as per their own experience too. If the trading candle is loss then the very next candle shall be used for taking Martingale Sep-1 to enhance the Accuracy.
Enhanced Success Potential: With Martingale Step-1 risk management, this ADX Indicator offers more than just signal accuracy – it presents the potential for heightened success rates. Through strategic position sizing and leveraging experience and Price Action insights, traders can elevate overall accuracy to levels ranging from 80% to 90%.
Conclusion:
The UP DOWN Strategy-1 Indicator represents a paradigm shift in trading technology, combining precision signal generation with advanced risk management strategies. Whether you're a seasoned trader or just starting your journey, this indicator empowers you to navigate financial markets with confidence and achieve consistent results.
Experience the difference with the Martingale ADX Indicator – where reliability meets profitability, and success becomes attainable with every trade.
Trade wisely, and may your ventures be marked by prosperity and fulfillment.
Pardon for any descriptive language grammatical error and comment about this indicator and to get my other strategy as well. Happy trading !!
Risk Disclaimer:
Trading in financial markets carries inherent risks and should be approached with caution. It is imperative to exercise sound judgment and trade only with funds that you can afford to lose. We strongly advise against using borrowed funds for trading purposes. First practice on demo for own learning then make decision wisely.
FibADX MTF Dashboard — DMI/ADX with Fibonacci DominanceFibADX MTF Dashboard — DMI/ADX with Fibonacci Dominance (φ)
This indicator fuses classic DMI/ADX with the Fibonacci Golden Ratio to score directional dominance and trend tradability across multiple timeframes in one clean panel.
What’s unique
• Fibonacci dominance tiers:
• BULL / BEAR → one side slightly stronger
• STRONG when one DI ≥ 1.618× the other (φ)
• EXTREME when one DI ≥ 2.618× (φ²)
• Rounded dominance % in the +DI/−DI columns (e.g., STRONG BULL 72%).
• ADX column modes: show the value (with strength bar ▂▃▅… and slope ↗/↘) or a tier (Weak / Tradable / Strong / Extreme).
• Configurable intraday row (30m/1H/2H/4H) + D/W/M toggles.
• Threshold line: color & width; Extended (infinite both ways) or Not extended (historical plot).
• Theme presets (Dark / Light / High Contrast) or full custom colors.
• Optional panel shading when all selected TFs are strong (and optionally directionally aligned).
How to use
1. Choose an intraday TF (30/60/120/240). Enable D/W/M as needed.
2. Use ADX ≥ threshold (e.g., 21 / 34 / 55) to find tradable trends.
3. Read the +DI/−DI labels to confirm bias (BULL/BEAR) and conviction (STRONG/EXTREME).
4. Prefer multi-TF alignment (e.g., 4H & D & W all strong bull).
5. Treat EXTREME as a momentum regime—trail tighter and scale out into spikes.
Alerts
• All selected TFs: Strong BULL alignment
• All selected TFs: Strong BEAR alignment
Notes
• Smoothing selectable: RMA (Wilder) / EMA / SMA.
• Percentages are whole numbers (72%, not 72.18%).
• Shorttitle is FibADX to comply with TV’s 10-char limit.
Why We Use Fibonacci in FibADX
Traditional DMI/ADX indicators rely on fixed numeric thresholds (e.g., ADX > 20 = “tradable”), but they ignore the relationship between +DI and −DI, which is what really determines trend conviction.
FibADX improves on this by introducing the Fibonacci Golden Ratio (φ ≈ 1.618) to measure directional dominance and classify trend strength more intelligently.
⸻
1. Fibonacci as a Natural Strength Threshold
The golden ratio φ appears everywhere in nature, growth cycles, and fractals.
Since financial markets also behave fractally, Fibonacci levels reflect natural crowd behavior and trend acceleration points.
In FibADX:
• When one DI is slightly larger than the other → BULL or BEAR (mild advantage).
• When one DI is at least 1.618× the other → STRONG BULL or STRONG BEAR (trend conviction).
• When one DI is 2.618× or more → EXTREME BULL or EXTREME BEAR (high momentum regime).
This approach adds structure and consistency to trend classification.
⸻
2. Why 1.618 and 2.618 Instead of Random Numbers
Other traders might pick thresholds like 1.5 or 2.0, but φ has special mathematical properties:
• φ is the most irrational ratio, meaning proportions based on φ retain structure even when scaled.
• Using φ makes FibADX naturally adaptive to all timeframes and asset classes — stocks, crypto, forex, commodities.
⸻
3 . Trading Advantages
Using the Fibonacci Golden Ratio inside DMI/ADX has several benefits:
• Better trend filtering → Avoid false DI crossovers without conviction.
• Catch early momentum shifts → Spot when dominance ratios approach φ before ADX reacts.
• Consistency across markets → Because φ is scalable and fractal, it works everywhere.
⸻
4. How FibADX Uses This
FibADX combines:
• +DI vs −DI ratio → Measures directional dominance.
• φ thresholds (1.618, 2.618) → Classifies strength into BULL, STRONG, EXTREME.
• ADX threshold → Confirms whether the move is tradable or just noise.
• Multi-timeframe dashboard → Aligns bias across 4H, D, W, M.
⸻
Quick Blurb for TradingView
FibADX uses the Fibonacci Golden Ratio (φ ≈ 1.618) to classify trend strength.
Unlike classic DMI/ADX, FibADX measures how much one side dominates:
• φ (1.618) = STRONG trend conviction
• φ² (2.618) = EXTREME momentum regime
This creates an adaptive, fractal-aware framework that works across stocks, crypto, forex, and commodities.
⚠️ Disclaimer : This script is provided for educational purposes only.
It does not constitute financial advice.
Use at your own risk. Always do your own research before making trading decisions.
Created by @nomadhedge
EMA Ribbon + ADX MomentumHere's a description for your TradingView indicator publication:
The EMA Ribbon + ADX Momentum indicator combines exponential moving averages (EMA) with the Average Directional Index (ADX) to identify strong trends and potential trading opportunities. This powerful tool offers:
🎯 Key Features:
EMA Ribbon (10, 21, 34, 55) for trend direction
ADX integration for trend strength confirmation
Clear visual signals with color-coded backgrounds
Real-time trend status display
Strength metrics with exact percentage values
📊 How It Works:
EMA Ribbon: Four EMAs form a ribbon pattern that shows trend direction through their stacking order
ADX Integration: Confirms trend strength when above the threshold (default 25)
Visual Signals:
Green background: Strong bullish trend
Red background: Strong bearish trend
Gray background: Neutral or weak trend
📈 Trading Signals:
STRONG BULL: EMAs properly stacked bullish + high ADX + DI+ > DI-
STRONG BEAR: EMAs properly stacked bearish + high ADX + DI- > DI+
BULL/BEAR TREND: Shows regular trend conditions without strength confirmation
NEUTRAL: No clear trend structure
🔧 Customizable Parameters:
ADX Length: Adjust trend calculation period
ADX Threshold: Modify strength confirmation level
ADX Panel Toggle: Show/hide the ADX indicator panel
💡 Best Uses:
Trend following strategies
Entry/exit timing
Trade confirmation
Market structure analysis
Risk management tool
This indicator helps traders identify not just trend direction, but also trend strength, making it particularly useful for both position entry timing and risk management. The clear visual signals and real-time metrics make it suitable for traders of all experience levels.
Note: As with all technical indicators, best results are achieved when used in conjunction with other forms of analysis and proper risk management.
Multi-TF AI SuperTrend with ADX - Strategy [PresentTrading]
## █ Introduction and How it is Different
The trading strategy in question is an enhanced version of the SuperTrend indicator, combined with AI elements and an ADX filter. It's a multi-timeframe strategy that incorporates two SuperTrends from different timeframes and utilizes a k-nearest neighbors (KNN) algorithm for trend prediction. It's different from traditional SuperTrend indicators because of its AI-based predictive capabilities and the addition of the ADX filter for trend strength.
BTC 8hr Performance
ETH 8hr Performance
## █ Strategy, How it Works: Detailed Explanation (Revised)
### Multi-Timeframe Approach
The strategy leverages the power of multiple timeframes by incorporating two SuperTrend indicators, each calculated on a different timeframe. This multi-timeframe approach provides a holistic view of the market's trend. For example, a 8-hour timeframe might capture the medium-term trend, while a daily timeframe could capture the longer-term trend. When both SuperTrends align, the strategy confirms a more robust trend.
### K-Nearest Neighbors (KNN)
The KNN algorithm is used to classify the direction of the trend based on historical SuperTrend values. It uses weighted voting of the 'k' nearest data points. For each point, it looks at its 'k' closest neighbors and takes a weighted average of their labels to predict the current label. The KNN algorithm is applied separately to each timeframe's SuperTrend data.
### SuperTrend Indicators
Two SuperTrend indicators are used, each from a different timeframe. They are calculated using different moving averages and ATR lengths as per user settings. The SuperTrend values are then smoothed to make them suitable for KNN-based prediction.
### ADX and DMI Filters
The ADX filter is used to eliminate weak trends. Only when the ADX is above 20 and the directional movement index (DMI) confirms the trend direction, does the strategy signal a buy or sell.
### Combining Elements
A trade signal is generated only when both SuperTrends and the ADX filter confirm the trend direction. This multi-timeframe, multi-indicator approach reduces false positives and increases the robustness of the strategy.
By considering multiple timeframes and using machine learning for trend classification, the strategy aims to provide more accurate and reliable trade signals.
BTC 8hr Performance (Zoom-in)
## █ Trade Direction
The strategy allows users to specify the trade direction as 'Long', 'Short', or 'Both'. This is useful for traders who have a specific market bias. For instance, in a bullish market, one might choose to only take 'Long' trades.
## █ Usage
Parameters: Adjust the number of neighbors, data points, and moving averages according to the asset and market conditions.
Trade Direction: Choose your preferred trading direction based on your market outlook.
ADX Filter: Optionally, enable the ADX filter to avoid trading in a sideways market.
Risk Management: Use the trailing stop-loss feature to manage risks.
## █ Default Settings
Neighbors (K): 3
Data points for KNN: 12
SuperTrend Length: 10 and 5 for the two different SuperTrends
ATR Multiplier: 3.0 for both
ADX Length: 21
ADX Time Frame: 240
Default trading direction: Both
By customizing these settings, traders can tailor the strategy to fit various trading styles and assets.
Alpine Predictive BandsAlpine Predictive Bands - ADX & Trend Projection is an advanced indicator crafted to estimate potential price zones and trend strength by integrating dynamic support/resistance bands, ADX-based confidence scoring, and linear regression-based price projections. Designed for adaptive trend analysis, this tool combines multi-timeframe ADX insights, volume metrics, and trend alignment for improved confidence in trend direction and reliability.
Key Calculations and Components:
Linear Regression for Price Projection:
Purpose: Provides a trend-based projection line to illustrate potential price direction.
Calculation: The Linear Regression Centerline (LRC) is calculated over a user-defined lookbackPeriod. The slope, representing the rate of price movement, is extended forward using predictionLength. This projected path only appears when the confidence score is 70% or higher, revealing a white dotted line to highlight high-confidence trends.
Adaptive Prediction Bands:
Purpose: ATR-based bands offer dynamic support/resistance zones by adjusting to volatility.
Calculation: Bands are calculated using the Average True Range (ATR) over the lookbackPeriod, multiplied by a volatilityMultiplier to adjust the width. These shaded bands expand during higher volatility, guiding traders in identifying flexible support/resistance zones.
Confidence Score (ADX, Volume, and Trend Alignment):
Purpose: Reflects the reliability of trend projections by combining ADX, volume status, and EMA alignment across multiple timeframes.
ADX Component: ADX values from the current timeframe and two higher timeframes assess trend strength on a broader scale. Strong ADX readings across timeframes boost the confidence score.
Volume Component: Volume strength is marked as “High” or “Low” based on a moving average, signaling trend participation.
Trend Alignment: EMA alignment across timeframes indicates “Bullish” or “Bearish” trends, confirming overall trend direction.
Calculation: ADX, volume, and trend alignment integrate to produce a confidence score from 0% to 100%. When the score exceeds 70%, the white projection line is activated, underscoring high-confidence trend continuations.
User Guide
Projection Line: The white dotted line, which appears only when the confidence score is 70% or higher, highlights a high-confidence trend.
Prediction Bands: Adaptive bands provide potential support/resistance zones, expanding with market volatility to help traders visualize price ranges.
Confidence Score: A high score indicates a stronger, more reliable trend and can support trend-following strategies.
Settings
Prediction Length: Determines the forward length of the projection.
Lookback Period: Sets the data range for calculating regression and ATR.
Volatility Multiplier: Adjusts the width of bands to match volatility levels.
Disclaimer: This indicator is for educational purposes and does not guarantee future price outcomes. Additional analysis is recommended, as trading carries inherent risks.
RSI 15/60 and ADX PlotIn this script, the buy and sell criteria are based on the Relative Strength Index (RSI) values calculated for two different timeframes: the 15-minute RSI and the hourly RSI. These timeframes are used together to check signals when certain thresholds are crossed, providing confirmation across both short-term and longer-term momentum.
Buy Criteria:
Condition 1:
Hourly RSI > 60: This means the longer-term momentum shows strength.
15-minute RSI crosses above 60: This shows that the shorter-term momentum is catching up and confirms increasing strength.
Condition 2:
15-minute RSI > 60: This indicates that the short-term trend is already strong.
Hourly RSI crosses above 60: This confirms that the longer-term trend is also gaining strength.
Both conditions aim to capture the moments when the market shows increasing strength across both short and long timeframes, signaling a potential buy opportunity.
Sell Criteria:
Condition 1:
Hourly RSI < 40: This indicates that the longer-term trend is weakening.
15-minute RSI crosses below 40: The short-term momentum is also turning down, confirming the weakening trend.
Condition 2:
15-minute RSI < 40: The short-term trend is already weak.
Hourly RSI crosses below 40: The longer-term trend is now confirming the weakness, indicating a potential sell.
These conditions work to identify when the market is showing weakness in both short-term and long-term timeframes, signaling a potential sell opportunity.
ADX Confirmation :
The Average Directional Index (ADX) is a key tool for measuring the strength of a trend. It can be used alongside the RSI to confirm whether a buy or sell signal is occurring in a strong trend or during market consolidation. Here's how ADX can be integrated:
ADX > 25: This indicates a strong trend. Using this threshold, you can confirm buy or sell signals when there is a strong upward or downward movement in the market.
Buy Example: If a buy signal (RSI > 60) is triggered and the ADX is above 25, this confirms that the market is in a strong uptrend, making the buy signal more reliable.
Sell Example: If a sell signal (RSI < 40) is triggered and the ADX is above 25, it confirms a strong downtrend, validating the sell signal.
ADX < 25: This suggests a weak or non-existent trend. In this case, RSI signals might be less reliable since the market could be moving sideways.
Final Approach:
The RSI criteria help identify potential overbought and oversold conditions in both short and long timeframes.
The ADX confirmation ensures that the signals generated are happening during strong trends, increasing the likelihood of successful trades by filtering out weak or choppy market conditions.
This combination of RSI and ADX can help traders make more informed decisions by ensuring both momentum and trend strength align before entering or exiting trades.
Directional Movement Index with double exponential moving averagThe Directional system is a trend-following method developed by J. Welles Wilder,
in the mid-1970s. It identifies trends and shows
when a trend is moving fast enough to make it worth following. It helps traders to
profit by taking chunks out of the middle of important trends.
Trading Rules
1. Trade only from the long side when the positive Directional line is above the
negative one. Trade only from the short side when the negative Directional line
is above the positive one. The best time to trade is when the ADX is rising, show-
ing that the dominant group is getting stronger.
2. When ADX declines, it shows that the market is becoming less directional. There
are likely to be many whipsaws. When ADX points down, it is better not to use
a trend-following method.
3. When ADX falls below both Directional lines, it identifies a flat, sleepy mar-
ket. Do not use a trend-following system but get ready to trade, because major
trends emerge from such lulls.
4. The single best signal of the Directional system comes after ADX falls below
both Directional lines. The longer it stays there, the stronger the base for the
next move. When ADX rallies from below both Directional lines, it shows that
the market is waking up from a lull. When ADX rises by four steps
from its lowest point below both Directional lines, it “rings a bell” on a
new trend . It shows that a new bull market or bear market is being
born, depending on what Directional line is on top.
5. When ADX rallies above both Directional lines, it identifies an overheated mar-
ket. When ADX turns down from above both Directional lines, it shows that the
major trend has stumbled. It is a good time to take profits on a directional trade.
If you trade large positions, you definitely want to take partial profits.
This particular version uses DEMA (double exponential moving averages) in attempt to catch moves sooner.
Average Directional Movement Index Rating ADXR by KIVANÇ fr3762Average Directional Movement Rating quantifies momentum change in the ADX . It is calculated by adding two values of ADX (the current value and a value n periods back), then dividing by two. This additional smoothing makes the ADXR slightly less responsive than ADX . The interpretation is the same as the ADX ; the higher the value, the stronger the trend.
The ADXR , being a smoothed version of ADX , and can be used similarly to the ADX in the three rule system discussed on the ADX section..
The ADXR is a measure of the spread between the Directional Indicators ( +DI and -DI ). When the ADXR is declining, it's not advised to use a trend following system. However, a rising ADXR signals that the dominant trend is likely to continue. A rising ADXR , with both the ADXR and DI+ above the D- indicates a strengthening bullish market. The scan syntax needed to represent this condition would be...
ADXR > DIMINUS AND DIPLUS > DIMINUS AND ADXR > ADXR .1
A rising ADXR , with both the ADXR and DI- above DI+ indicates a strengthening bearish trend . The scan syntax needed to represent this condition would be...
ADXR > DIPLUS AND DIMINUS > DIPLUS AND ADXR > ADXR .1
If the ADXR has been below both DI+ and DI- but has begun to rise a new market trend is emerging. The scan syntax needed to represent this condition would be...
ADXR < DIPLUS AND ADXR < DIMINUS AND ADXR > ADXR .1
IMPORTANT NOTICE: USERS CAN ADD ADX DI+ and DI- indicators by checking the box in the settings of the indicator.
Developed by J.Welles Wilder
ÖNEMLİ BİLGİ: KULLANICILAR ADX , DI- ve DI+ indikatörlerini de ayarlar bölümündeki kutucukları işaretleyerek sayfaya ekleyebilirler.
Forex Master v4.0 (EUR/USD Mean-Reversion Algorithm)DESCRIPTION
Forex Master v4.0 is a mean-reversion algorithm currently optimized for trading the EUR/USD pair on the 5M chart interval. All indicator inputs use the period's closing price and all trades are executed at the open of the period following the period where the trade signal was generated.
There are 3 main components that make up Forex Master v4.0:
I. Trend Filter
The algorithm uses a version of the ADX indicator as a trend filter to trade only in certain time periods where price is more likely to be range-bound (i.e., mean-reverting). This indicator is composed of a Fast ADX and a Slow ADX, both using the same look-back period of 50. However, the Fast ADX is smoothed with a 6-period EMA and the Slow ADX is smoothed with a 12-period EMA. When the Fast ADX is above the Slow ADX, the algorithm does not trade because this indicates that price is likelier to trend, which is bad for a mean-reversion system. Conversely, when the Fast ADX is below the Slow ADX, price is likelier to be ranging so this is the only time when the algorithm is allowed to trade.
II. Bollinger Bands
When allowed to trade by the Trend Filter, the algorithm uses the Bollinger Bands indicator to enter long and short positions. The Bolliger Bands indicator has a look-back period of 20 and a standard deviation of 1.5 for both upper and lower bands. When price crosses over the lower band, a Long Signal is generated and a long position is entered. When price crosses under the upper band, a Short Signal is generated and a short position is entered.
III. Money Management
Rule 1 - Each trade will use a limit order for a fixed quantity of 50,000 contracts (0.50 lot). The only exception is Rule
Rule 2 - Order pyramiding is enabled and up to 10 consecutive orders of the same signal can be executed (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts).
Rule 3 - Every order will include a bracket with both TP and SL set at 50 pips (note: the algorithm only closes the current open position and does not enter the opposite trade once a TP or SL has been hit).
Rule 4 - When a new opposite trade signal is generated, the algorithm sends in a larger order to close the current open position as well as open a new one (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts. A Short Signal is generated shortly after the 14th Long Signal. The algorithm then sends in a sell order for 400,000 contracts to close the 350,000 contracts long position and open a new short position of 50,000 contracts).
Scalp EMA+RSI+ADX+Vol v7 (универсальная, x25)// @version=6
// Scalp EMA+RSI+ADX+Vol v7 — универсальная версия с ликвидационным стопом (x25)
// Автор: ChatGPT
// === ПАРАМЕТРЫ ===
percent_of_equity = input.float(2.0, "Position size (% of equity)", step=0.1, minval=0.1)
fastLen = input.int(8, "Fast EMA length", minval=1)
slowLen = input.int(21, "Slow EMA length", minval=1)
rsiLen = input.int(7, "RSI length", minval=1)
rsiConfirm= input.int(50, "RSI confirmation level")
adxLen = input.int(10, "ADX length", minval=1)
adxThresh = input.int(15, "ADX threshold (min trend strength)")
volSmaLen = input.int(20, "Volume SMA length", minval=1)
volMult = input.float(0.8, "Min volume multiplier", step=0.1, minval=0.1)
atrLen = input.int(10, "ATR length", minval=1)
atrTP = input.float(1.6, "TP = x * ATR", step=0.1, minval=0.1)
useTrailing = input.bool(false, "Use trailing stop")
trailOffsetMult = input.float(0.8, "Trailing offset = x * ATR", step=0.1, minval=0.1)
maxTradesPerDay = input.int(0, "Max trades per day (0 = unlimited)")
useTimeFilter = input.bool(false, "Enable time filter (exchange time)")
startH = input.int(0, "Start hour (0-23)")
startM = input.int(0, "Start minute (0-59)")
endH = input.int(23, "End hour (0-23)")
endM = input.int(59, "End minute (0-59)")
leverage = input.int(25, "Leverage (для расчета ликвидации)", minval=1) // ← по умолчанию 25
// === STRATEGY DECLARATION ===
strategy("Scalp EMA+RSI+ADX+Vol v7 (универсальная, x25)", overlay=true,
default_qty_type=strategy.percent_of_equity, default_qty_value=2.0,
initial_capital=10000, pyramiding=1)
// === ИНДИКАТОРЫ ===
fastEMA = ta.ema(close, fastLen)
slowEMA = ta.ema(close, slowLen)
rsi = ta.rsi(close, rsiLen)
volSMA = ta.sma(volume, volSmaLen)
atr = ta.atr(atrLen)
plot(fastEMA, title="Fast EMA", linewidth=1, color=color.teal)
plot(slowEMA, title="Slow EMA", linewidth=1, color=color.orange)
// === ADX (ручной расчет) ===
upMove = high - high
downMove = low - low
plusDM = (upMove > downMove and upMove > 0) ? upMove : 0.0
minusDM = (downMove > upMove and downMove > 0) ? downMove : 0.0
tr = math.max(high - low, math.max(math.abs(high - close ), math.abs(low - close )))
atr_adx = ta.rma(tr, adxLen)
smPlus = ta.rma(plusDM, adxLen)
smMinus = ta.rma(minusDM, adxLen)
plusDI = atr_adx == 0 ? 0.0 : 100.0 * smPlus / atr_adx
minusDI = atr_adx == 0 ? 0.0 : 100.0 * smMinus / atr_adx
sumDI = plusDI + minusDI
dx = sumDI == 0 ? 0.0 : 100.0 * math.abs(plusDI - minusDI) / sumDI
adx = ta.rma(dx, adxLen)
// === СИГНАЛЫ ===
crossUp = ta.crossover(fastEMA, slowEMA)
crossDown = ta.crossunder(fastEMA, slowEMA)
volOK = volume > volSMA * volMult
rsiOK_long = rsi > rsiConfirm
rsiOK_short = rsi < rsiConfirm
adxOK = adx >= adxThresh
candleBull= close > open
candleBear= close < open
longSignal = crossUp and rsiOK_long and adxOK and volOK and candleBull
shortSignal = crossDown and rsiOK_short and adxOK and volOK and candleBear
// === TIME FILTER ===
s = useTimeFilter ? timestamp(year(time), month(time), dayofmonth(time), startH, startM) : na
e = useTimeFilter ? timestamp(year(time), month(time), dayofmonth(time), endH, endM) : na
inTradeHours = not useTimeFilter ? true : (e > s ? (time >= s and time <= e) : (time >= s or time <= e))
// === DAILY COUNTER ===
var int tradesToday = 0
var int lastDay = na
if dayofmonth(time) != lastDay
tradesToday := 0
lastDay := dayofmonth(time)
canOpenMore = (maxTradesPerDay == 0) or (tradesToday < maxTradesPerDay)
// === ENTRIES / EXITS ===
if longSignal and inTradeHours and canOpenMore and strategy.position_size == 0
entryPrice = close
liqPrice = entryPrice - entryPrice / leverage // стоп по ликвидации x25
takePrice = entryPrice + atr * atrTP
if useTrailing
strategy.entry("Long", strategy.long)
strategy.exit("Long Exit", from_entry="Long", limit=takePrice, trail_offset=atr * trailOffsetMult)
else
strategy.entry("Long", strategy.long)
strategy.exit("Long Exit", from_entry="Long", stop=liqPrice, limit=takePrice)
tradesToday += 1
if shortSignal and inTradeHours and canOpenMore and strategy.position_size == 0
entryPrice = close
liqPrice = entryPrice + entryPrice / leverage // стоп по ликвидации x25
takePrice = entryPrice - atr * atrTP
if useTrailing
strategy.entry("Short", strategy.short)
strategy.exit("Short Exit", from_entry="Short", limit=takePrice, trail_offset=atr * trailOffsetMult)
else
strategy.entry("Short", strategy.short)
strategy.exit("Short Exit", from_entry="Short", stop=liqPrice, limit=takePrice)
tradesToday += 1
// === ВИЗУАЛИЗАЦИЯ ===
plotshape(longSignal, title="Long Signal", location=location.belowbar, style=shape.triangleup, size=size.small, color=color.green, text="LONG")
plotshape(shortSignal, title="Short Signal", location=location.abovebar, style=shape.triangledown, size=size.small, color=color.red, text="SHORT")
// INFO BOX
var label info = na
if barstate.islast
label.delete(info)
infoText = "EMA: " + str.tostring(fastLen) + "/" + str.tostring(slowLen) +
" | RSI: " + str.tostring(rsiLen) + " (conf=" + str.tostring(rsiConfirm) + ")" +
" | ADX: " + str.tostring(adxLen) + "(thr=" + str.tostring(adxThresh) + ")" +
" | VolMult=" + str.tostring(volMult) +
" | ATR TP=" + str.tostring(atrTP) +
" | Leverage=" + str.tostring(leverage) + "x" +
" | TradesToday=" + str.tostring(tradesToday)
info := label.new(bar_index, high, infoText, xloc=xloc.bar_index, yloc=yloc.abovebar,
style=label.style_label_left, size=size.small, color=color.new(color.blue, 70))
Asistente de Barra de Estado ADX
// This is an all-in-one indicator designed to visually represent the market environment
// based on the G2 (trend-following) and SMOG (reversal/ranging) trading systems.
// It replaces the need for a separate ADX indicator.
//
// FEATURES:
//
// 1. Multi-Timeframe ADX:
// - 5-Minute ADX (Blue Line - The "Referee"): Determines the overall market environment (Trending or Ranging).
// - 1-Minute ADX (Yellow Line - The "Trigger"): Measures immediate momentum for trade entries.
//
// 2. Environment Background Coloring:
// The indicator's own background panel changes color to provide an instant signal:
// - Green: G2 Bullish Environment (5-min ADX > 25 & Price is Trending Up)
// - Red: G2 Bearish Environment (5-min ADX > 25 & Price is Trending Down)
// - Gray: Gray Zone (Indecisive/Risky Market, 5-min ADX between 20-25)
// - Blue: SMOG Environment (Weak/Ranging Market, 5-min ADX < 20)
//
// 3. Reference Lines:
// Includes horizontal lines at the key 20 and 25 levels for easy reference.
//
// HOW TO USE:
// Use this indicator as the primary tool to decide whether to look for a G2
// (trend-following) or a SMOG (reversal) setup.
//
Market Regime Matrix [Alpha Extract]A sophisticated market regime classification system that combines multiple technical analysis components into an intelligent scoring framework to identify and track dominant market conditions. Utilizing advanced ADX-based trend detection, EMA directional analysis, volatility assessment, and crash protection protocols, the Market Regime Matrix delivers institutional-grade regime classification with BULL, BEAR, and CHOP states. The system features intelligent scoring with smoothing algorithms, duration filters for stability, and structure-based conviction adjustments to provide traders with clear, actionable market context.
🔶 Multi-Component Regime Engine Integrates five core analytical components: ADX trend strength detection, EMA-200 directional bias, ROC momentum analysis, Bollinger Band volatility measurement, and zig-zag structure verification. Each component contributes to a sophisticated scoring system that evaluates market conditions across multiple dimensions, ensuring comprehensive regime assessment with institutional precision.
// Gate Keeper: ADX determines market type
is_trending = adx_value > adx_trend_threshold
is_ranging = adx_value <= adx_trend_threshold
is_maximum_chop = adx_value <= adx_chop_threshold
// BULL CONDITIONS with Structure Veto
if price_above_ema and di_bullish
if use_structure_filter and isBullStructure
raw_bullScore := 5.0 // MAXIMUM CONVICTION: Strong signals + Bull structure
else if use_structure_filter and not isBullStructure
raw_bullScore := 3.0 // REDUCED: Strong signals but broken structure
🔶 Intelligent Scoring System Employs a dynamic 0-5 scale scoring mechanism for each regime type (BULL/BEAR/CHOP) with adaptive conviction levels. The system automatically adjusts scores based on signal alignment, market structure confirmation, and volatility conditions. Features decision margin requirements to prevent false regime changes and includes maximum conviction thresholds for high-probability setups.
🔶 Advanced Structure Filter Implements zig-zag based market structure analysis using configurable deviation thresholds to identify significant pivot points. The system tracks Higher Highs/Higher Lows (HH/HL) for bullish structure and Lower Lows/Lower Highs (LL/LH) for bearish structure, applying structure veto logic that reduces conviction when price action contradicts the underlying trend framework.
// Define Market Structure (Bull = HH/HL, Bear = LL/LH)
isBullStructure = not na(last_significant_high) and not na(prev_significant_high) and
not na(last_significant_low) and not na(prev_significant_low) and
last_significant_high > prev_significant_high and last_significant_low > prev_significant_low
isBearStructure = not na(last_significant_high) and not na(prev_significant_high) and
not na(last_significant_low) and not na(prev_significant_low) and
last_significant_low < prev_significant_low and last_significant_high < prev_significant_high
🔶 Superior Engine Components Features dual-layer regime stabilization through score smoothing and duration filtering. The score smoothing component reduces noise by averaging raw scores over configurable periods, while the duration filter requires minimum regime persistence before confirming changes. This eliminates whipsaws and ensures regime transitions represent genuine market shifts rather than temporary fluctuations.
🔶 Crash Detection & Active Penalties Incorporates sophisticated crash detection using Rate of Change (ROC) analysis with severity classification. When crash conditions are detected, the system applies active penalties (-5.0) to BULL and CHOP scores while boosting BEAR conviction based on crash severity. This ensures immediate regime response to major market dislocations and drawdown events.
// === CRASH OVERRIDE (Active Penalties) ===
is_crash = roc_value < crash_threshold
if is_crash
// Calculate crash severity
crash_severity = math.abs(roc_value / crash_threshold)
crash_bonus = 4.0 + (crash_severity - 1.0) * 2.0
// ACTIVE PENALTIES: Force bear dominance
raw_bearScore := math.max(raw_bearScore, crash_bonus)
raw_bullScore := -5.0 // ACTIVE PENALTY
raw_chopScore := -5.0 // ACTIVE PENALTY
❓How It Works
🔶 ADX-Based Market Classification The Market Regime Matrix uses ADX (Average Directional Index) as the primary gatekeeper to distinguish between trending and ranging market conditions. When ADX exceeds the trend threshold, the system activates BULL/BEAR regime logic using DI+/DI- crossovers and EMA positioning. When ADX falls below the ranging threshold, CHOP regime logic takes precedence, with maximum conviction assigned during ultra-low ADX periods.
🔶 Dynamic Conviction Scaling Each regime receives conviction ratings from UNCERTAIN to MAXIMUM based on signal alignment and score magnitude. MAXIMUM conviction (5.0 score) requires perfect signal alignment plus favorable market structure. The system progressively reduces conviction when signals conflict or structure breaks, ensuring traders understand the reliability of each regime classification.
🔶 Regime Transition Management Implements decision margin requirements where new regimes must exceed existing regimes by configurable thresholds before transitions occur. Combined with duration filtering, this prevents premature regime changes and maintains stability during consolidation periods. The system tracks both raw regime signals and final regime output for complete transparency.
🔶 Visual Regime Mapping Provides comprehensive visual feedback through colored candle overlays, background regime highlighting, and real-time information tables. The system displays regime history, conviction levels, structure status, and key metrics in an organized dashboard format. Regime changes trigger immediate visual alerts with detailed transition information.
🔶 Performance Optimization Features efficient array management for zig-zag calculations, smart variable updating to prevent recomputation, and configurable debug modes for strategy development. The system maintains optimal performance across all timeframes while providing institutional-grade analytical depth.
Why Choose Market Regime Matrix ?
The Market Regime Matrix represents the evolution of market regime analysis, combining traditional technical indicators with modern algorithmic decision-making frameworks. By integrating multiple analytical dimensions with intelligent scoring, structure verification, and crash protection, it provides traders with institutional-quality market context that adapts to changing conditions. The sophisticated filtering system eliminates noise while preserving responsiveness, making it an essential tool for traders seeking to align their strategies with dominant market regimes and avoid adverse market environments.
JK EMA-WMA ADX Strategy with RSI Reversals and Chandelier ExitThis Pine script is a comprehensive trading strategy indicator for TradingView that combines three different technical analysis techniques: the Modified EMA-WMA ADX Trading Strategy, RSI Reversals, and the Chandelier Exit strategy. Here's a breakdown of what the script does:
Inputs: The script starts by defining several user inputs that allow traders to customize various parameters such as the lengths for EMA, WMA, ADX, RSI, and Chandelier Exit calculations, as well as thresholds for ADX, bullish/bearish RSI levels, and visual options like showing labels and highlighting the current trading state.
EMA-WMA ADX Strategy: The script calculates the Exponential Moving Average (EMA), Weighted Moving Average (WMA), and Average Directional Index (ADX) using the user-defined input lengths. It then determines buy and sell signals based on the crossover/crossunder of the EMA and WMA, combined with conditions on the ADX value and its rising/falling state.
RSI Reversals: The Relative Strength Index (RSI) is calculated, and its slope is determined over a specified number of periods. Bullish and bearish reversals are identified based on the RSI crossing the user-defined bullish and bearish levels, combined with the slope condition.
Chandelier Exit: The script implements the Chandelier Exit strategy, which involves calculating an Average True Range (ATR) channel based on the highest high and lowest low over a specified period, multiplied by a user-defined multiplier. The channel lines are plotted, and buy/sell signals are generated when the price crosses these lines, indicating a potential trend change.
Plotting: The script plots the EMA, WMA, buy/sell signals for the EMA-WMA ADX strategy, bullish/bearish reversal signals for RSI, and the Chandelier Exit channel lines. It also includes options to show buy/sell labels and highlight the current trading state with colored areas.
Alerts: The script can generate alerts for various conditions, including Chandelier Exit direction changes, buy/sell signals for the Chandelier Exit, and combined buy/sell signals from the EMA-WMA ADX strategy.
Overall, this script aims to provide a comprehensive trading strategy by combining multiple technical analysis techniques and allowing traders to customize various parameters. It can be used as a standalone strategy or as a starting point for further customization and experimentation.
Average Directional Index + ΔDI± (Delta)Average Directional Index (ADX) and Difference between DI+ and DI- (ΔDI±), I call it Delta for short.
The idea explained:
ADX is a common indicator for analysing trend strength. Values over 25 usually indicate the symbol is in "trend mode", meaning there is a lot of momentum, upwards or downwards, - while values under 25 suggest it is in "range mode", the price moves sideways, lacking energy. Note that this indicator is not volume-based.
I moved the graph (red) down 25 points; this version shows positive values in "trend mode" (>25), and negative values in "range mode" (<25). The line sits at 0. The underlying code for the ADX is basically identical to the official TradingView built-in version.
Now the exciting part: DI+ and DI- are used to calculate the ADX. They are sometimes included in the ADX indicator chart, I included a version that shows them in the graphic, at the bottom. Traditionally, DI+ (green) crossing DI- (dark red) from below shows the beginning of an upward trend, and therefore a good LONG entry position. However, I noticed that this is usually not the case: this method responds very slowly to the actual price movement. At the point the indicator tells you to enter, the trend is usually already exhausted.
I found a better way to use this data; instead of waiting for both graphs to cross, meaning the difference in their respective values is 0, we look for the greatest possible difference. That is what the purple graph of my indicator shows (ΔDI±). It utilizes the zero-line we already created for the ADX. High positive values declare that the DI+ is much greater than the DI-, and vice versa. Delta is the greek letter used in mathematics for difference, so that is what I call this indicator.
How to use it:
When you look at the graph, low Delta values seem to be good entry points for LONG positions, high Delta values good exits. This is similar to how RSI and CCI work, which is why included them in the chart above (). However, this is only reliable, when the ADX is above 25, or 0 in this version, indicating the symbol is in "trend mode". This is important .
When you look at the examples in the chart, you can confirm that. The marked candles show good entry and exit points, with Delta being notably low/high (±25 seems to be a good threshold, the dashed lines sit at +30/-30), and the ADX above 0 (25). Now, you might have noticed that around mid-december the Delta actually registers the highest value for this symbol in the given time frame, indicating a strong SHORT after a steep climb. But, importantly , the ADX is not in "trend mode" as required for a clear signal, it is in "range mode": the price discovers this new level and takes a few days to get used to it. It does not fall. This shows why only the combination of both Delta and ADX gives desirable results.
I noticed that this seems to work best for 1D and 1H candles; if you find any other time frames or scenarios, let me know!
PLEASE NOTE THAT THIS IS BASED ON PERSONAL, EMPIRICAL OBSERVATIONS. PAST RESULTS DO NOT GUARANTEE SUCCESS IN THE FUTURE. DO NOT TAKE THIS AS INVESTMENT ADVICE!
Thanks to TradingView and robertkowalski for providing the basis on which the code is built. Credit goes to the appropriate developers/owners.
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Let me know if you make any other observations, or find other ways to use the data!
Scanner ADX & VolumenThis indicator is a market scanner specifically designed for scalping traders. Its function is to simultaneously monitor 30 cryptocurrency pairs from the BingX exchange to identify entry opportunities based on the start of a new, strengthening trend.
Strategy and Logic:
The scanner is based on the combination of two key conditions on a 15-minute timeframe:
Trend Strength (ADX): The primary signal is generated when the ADX (Average Directional Index) crosses above the 20 level. An ADX moving above this threshold suggests that the market is breaking out of a consolidation phase and that a new trend (either bullish or bearish) is beginning to gain strength.
Volume Confirmation: To validate the ADX signal, the indicator checks if the current candle's volume is higher than its simple moving average (defaulting to 20 periods). An increase in volume confirms market interest and participation, adding greater reliability to the emerging move.
How to Use It:
The indicator displays a table in the top-right corner of your chart with the following information:
Par: The name of the cryptocurrency pair.
ADX: The current ADX value. It turns green when it exceeds the 20 level.
Volume: Shows "OK" if the current volume is higher than its average.
Signal: This is the most important column. When both conditions (ADX crossover and high volume) are met, it will display the message "¡ENTRADA!" ("ENTRY!") with a highlighted background, alerting you to a potential trading opportunity.
In summary, this scanner saves you the effort of manually analyzing 30 charts, allowing you to focus solely on the assets that present the best conditions for a scalping trade.
