DemaRSI StrategyThis is a repost to a old script that cant be updated anymore, the request was made on Feb, 27, 2016.
Here's a engaging description for the tradingview script:
**DemaRSI Strategy: A Proven Trading System**
Join thousands of traders who have already experienced the power of this highly effective strategy. The DemaRSI system combines two powerful indicators - DEMA (Double Exponential Moving Average) and RSI (Relative Strength Index) - to generate profitable trades with minimal risk.
**Key Features:**
* **Trend-Following**: Our algorithm identifies strong trends using a combination of DEMA and RSI, allowing you to ride the waves of market momentum.
* **Risk Management**: The system includes built-in stop-loss and take-profit levels, ensuring that your gains are protected and losses are minimized.
* **Session-Based Trading**: Trade during specific sessions only (e.g., London or New York) for even more targeted results.
* **Customizable Settings**: Adjust the length of moving averages, RSI periods, and other parameters to suit your trading style.
**What You'll Get:**
* A comprehensive strategy that can be used with any broker or platform
* Easy-to-use interface with customizable settings
* Real-time performance metrics and backtesting capabilities
**Start Trading Like a Pro Today!**
This script is designed for intermediate to advanced traders who want to take their trading game to the next level. With its robust risk management features, this strategy can help you achieve consistent profits in various market conditions.
**Disclaimer:** This script is not intended as investment advice and should be used at your own discretion. Trading carries inherent risks, and losses are possible.
~Llama3
ממוצעים נעים
MicuRobert EMA Cross StrategyThis is a repost of a old strategy that cant be updated anymore, it was a request for a user made in Oct, 6, 2015
Here's a possible engaging description for the tradingview script:
**MicuRobert EMA Cross V2: A Powerful Trading Strategy**
Join the ranks of successful traders with this advanced strategy, designed to help you profit from market trends. The MicuRobert EMA Cross V2 combines two essential indicators - Exponential Moving Average (EMA) and Divergence EMA (DEMA) - to generate buy and sell signals.
**Key Features:**
* **Trading Session Filter**: Only trade during your preferred session, ensuring you're in sync with market conditions.
* **Trailing Stop**: Automatically adjust stop-loss levels to lock in profits or limit losses.
* **Customizable Trade Size**: Set the size of each trade based on your risk tolerance and trading goals.
**How it Works:**
The script uses two EMAs (5-period and 34-period) to identify trends. When the shorter EMA crosses above the longer one, a buy signal is generated. Conversely, when the shorter EMA falls below the longer one, a sell signal is triggered. The strategy also incorporates divergence analysis between price action and the EMAs.
**Visual Aids:**
* **EMA Plots**: Visualize the two EMAs on your chart to gauge market momentum.
* **Buy/Sell Signals**: See when buy or sell signals are generated, along with their corresponding entry prices.
* **Trailing Stop Lines**: Monitor stop-loss levels as they adjust based on price action.
**Get Started:**
Download this script and start trading like a pro! With its robust features and customizable settings, the MicuRobert EMA Cross V2 is an excellent addition to any trader's arsenal.
~Llama3
AuriumFlowAURIUM (GOLD-Weighted Average with Fractal Dynamics)
Aurium is a cutting-edge indicator that blends volume-weighted moving averages (VWMA), fractal geometry, and Fibonacci-inspired calculations to deliver a precise and holistic view of market trends. By dynamically adjusting to price and volume, Aurium uncovers key levels of confluence for trend reversals and continuations, making it a powerful tool for traders.
Key Features:
Dynamic Trendline (GOLD):
The central trendline is a weighted moving average based on price and volume, tuned using Fibonacci-based fast (34) and slow (144) exponential moving average lengths. This ensures the trendline adapts seamlessly to the flow of market dynamics.
Formula:
GOLD = VWMA(34) * Volume Factor + VWMA(144) * (1 - Volume Factor)
Fractal Highs and Lows:
Detects pivotal market points using a fractal lookback period (default 5, odd-numbered). Fractals identify local highs and lows over a defined window, capturing the structure of market cycles.
Trend Background Highlighting:
Bullish Zone: Price above the GOLD line with a green background.
Bearish Zone: Price below the GOLD line with a red background.
Buy and Sell Alerts:
Generates actionable signals when fractals align with GOLD. Bullish fractals confirm continuation or reversal in an uptrend, while bearish fractals validate a downtrend.
The Math Behind Aurium:
Volume-Weighted Adjustments:
By integrating volume into the calculation, Aurium dynamically emphasizes price levels with greater participation, giving traders insight into zones of institutional interest.
Formula:
VWMA = EMA(Close * Volume) / EMA(Volume)
Fractal Calculations:
Fractals are identified as local maxima (highs) or minima (lows) based on the surrounding bars, leveraging the natural symmetry in price behavior.
Fibonacci Relationships:
The 34 and 144 EMA lengths are Fibonacci numbers, offering a natural alignment with price cycles and market rhythms.
Ideal For:
Traders seeking a precise and intuitive indicator for aligning with trends and detecting reversals.
Strategies inspired by Bill Williams, with added volume and fractal-based insights.
Short-term scalpers and long-term trend-followers alike.
Unlock deeper market insights and trade with precision using Aurium!
Trend Strength/DirectionThis is a really good, though complex indicator, so I will add two different explanations so to appease both the laymen and those who take the time to read thoroughly.
Simple Explanation
This indicator utilizes 6HMA's to display their angles
The greater the angle ---> the stronger the trend
If more angles are positive, then trend is very strong
If more are negative, then very negative
Comprehensive Explanation
6 angles, each of a different time frame are used to represent direction and trend strength. Angles are used because they intrinsically represent momentum and speed. An angle of 45 represents a perfect balance between something that can cover the furthest distance without compensating for speed. 1 of the 6 angles is intended(though customizable) to represent the 5 hma's angle. This is because the 5hma is very good at representing very near term price action.
Angle Levels
Its important to understand what the angle levels mean for the underlying hma's. The 0 level represents a hma that is horizontal. This is important because this is the point at which it decides to be bullish or bearish. +/- 45, as noted before, represent bullishness/bearishness that represent strong trends without compensating for speed. A continuous increase/decrease and or a cross of these levels generally indicate significant change in sentiment, of which trades may be taken.
Strategy
You should weigh your decision by those angles that represent the longer time frame. If more angles represent a certain sentiment, it is obviously unwise to fight against that long term sentiment. The purpose of this indicator was to provide a proper representation of trend direction and strength, but also solve the problem of when you should 'dip' buy.
For an example: if all angles are increase or decreasing, then you may use the 5hma's angle to find the proper points at which you will enter a position.
***NOTE: I dont think the +/- 45 bands should indicate 'overbought' or 'oversold' zones that some might assume. Instead you should wait for a crossing of this zone.
Adaptive MAAdaptive Moving Average (AMA)
Overview
The Adaptive Moving Average (AMA) script is designed to calculate and plot a moving average that adapts dynamically based on market conditions. This script uses pivot-based periods for its calculation, allowing it to adjust its behavior in response to market volatility and trends. It supports both Simple Moving Average (SMA) and Exponential Moving Average (EMA).
Features
Dynamic Period Calculation: Leverages the DynamicPeriodPublic library to compute periods based on pivot points, providing an adaptive length for the moving average.
Customizable Parameters: Users can choose predefined "Fast" and "Slow" settings or manually configure the parameters for greater control.
Supports SMA and EMA: Flexibility to choose between SMA and EMA for the moving average calculation.
Inputs
Source ( src ): Data source for the moving average (e.g., close price).
Default: close
Length Type ( length_type ): Determines the type of period calculation.
Options: Fast, Slow, Manual
MA Type ( ma_type ): Specifies the type of moving average to calculate.
Options: SMA, EMA
Manual Parameters (used when length_type is set to Manual):
Left Bars ( left_bars ): Number of left-hand bars for pivot detection.
Right Bars ( right_bars ): Number of right-hand bars for pivot detection.
Number of Pivots ( num_pivots ): Minimum number of pivots for dynamic period calculation.
Length Multiplier ( length_mult ): Multiplier applied to the calculated period.
Use Cases
Trend Analysis: Identify market trends with an average that adapts to changing conditions.
Volatility-Based Strategies: Adjust strategies dynamically in response to market volatility.
Custom Configurations: Fine-tune pivot parameters for specific markets or assets using the "Manual" mode.
Example Usage
Select the desired length type (Fast, Slow, or Manual).
If Manual is selected, configure the pivot detection parameters and length multiplier.
Choose the moving average type (SMA or EMA).
Observe the adaptive moving average plotted on the chart.
Loacally Weighted MA (LWMA) Direction HistogramThe Locally Weighted Moving Average (LWMA) Direction Histogram indicator is designed to provide traders with a visual representation of the price momentum and trend direction. This Pine Script, written in version 6, calculates an LWMA by assigning higher weights to recent data points, emphasizing the most current market movements. The script incorporates user-defined input parameters, such as the LWMA length and a direction lookback period, making it flexible to adapt to various trading strategies and preferences.
The histogram visually represents the difference between the current LWMA and a previous LWMA value (based on the lookback period). Positive values are colored blue, indicating upward momentum, while negative values are yellow, signaling downward movement. Additionally, the script colors candlesticks according to the histogram's value, enhancing clarity for users analyzing market trends. The LWMA line itself is plotted on the chart but hidden by default, enabling traders to toggle its visibility as needed. This blend of histogram and candlestick visualization offers a comprehensive tool for identifying shifts in momentum and potential trading opportunities.
Zero-Lag MA CandlesThe Zero-Lag MA Candles indicator combines the efficiency of a Zero-Lag Moving Average (ZLMA) with dynamic candlestick coloring to provide a clear visual representation of market trends. By leveraging a dual EMA-based calculation, the ZLMA achieves reduced lag, enhancing its responsiveness to price changes. The indicator plots candles on the chart with colors determined by the trend direction of the ZLMA over a user-defined lookback period. Blue candles signify an uptrend, while yellow candles indicate a downtrend, offering traders an intuitive way to identify market sentiment.
This indicator is particularly useful for trend-following strategies, as the crossover and crossunder between the ZLMA and the standard EMA highlight potential reversal points or trend continuation zones. With customizable inputs for ZLMA length, trend lookback period, and color schemes, it caters to diverse trading preferences. Its ability to plot directly on the chart ensures seamless integration with other analysis tools, making it a valuable addition to a trader's toolkit.
Happy trading...
Strength of Divergence Across Multiple Indicators (+CMF&VWMACD)Modified Version of Strength of Divergence Across Multiple Indicators by reees
Purpose:
This Pine Script indicator is designed to identify and evaluate the strength of bullish and bearish divergences across multiple technical indicators. Divergences occur when the price of an asset is moving in one direction while a technical indicator is moving in the opposite direction, potentially signaling a trend reversal.
Key Features:
1. Multiple Indicator Support: The script now analyzes divergences for the following indicators:
* RSI (Relative Strength Index)
* OBV (On-Balance Volume)
* MACD (Moving Average Convergence/Divergence)
* STOCH (Stochastic Oscillator)
* CCI (Commodity Channel Index)
* MFI (Money Flow Index)
* AO (Awesome Oscillator)
* CMF (Chaikin Money Flow) - Newly added
* VWMACD (Volume-Weighted MACD) - Newly added
2. Customizable Divergence Parameters:
* Bullish/Bearish: Enable or disable the detection of bullish and bearish divergences independently.
* Regular/Hidden: Detect both regular and hidden divergences (hidden divergences can indicate trend continuation).
* Broken Trendline Exclusion: Optionally ignore divergences where the trendline connecting price pivots is broken by an intermediate pivot.
* Pivot Lookback Periods: Adjust the number of bars used to identify valid pivot highs and lows for divergence calculations.
* Weighting: Assign different weights to regular vs. hidden divergences and to the relative change in price vs. the indicator.
3. Indicator-Specific Settings:
* Weight: Each indicator can be assigned a weight, influencing its contribution to the overall divergence strength calculation.
* Extreme Value: Define a threshold above which an indicator's divergence is considered "extreme," giving it a higher strength rating.
4. Divergence Strength Calculation:
* For each indicator, the script calculates a divergence "degree" based on the magnitude of the divergence and the user-defined weightings.
* The total divergence strength is the sum of the individual indicator divergence degrees.
* Strength is categorized as "Extreme," "Very strong," "Strong," "Moderate," "Weak," or "Very weak."
5. Visualization:
* Divergence Lines: The script draws lines on the chart connecting the price and indicator pivots that form a divergence (optional, with customizable transparency).
* Labels: Labels display the total divergence strength and a breakdown of each indicator's contribution. The size and visibility of labels are based on the strength.
6. Alerts:
* The script can generate alerts when the total divergence strength exceeds a user-defined threshold.
New Indicators (CMF and VWMACD):
* Chaikin Money Flow (CMF):
* Purpose: Measures the buying and selling pressure by analyzing the relationship between price, volume, and the accumulation/distribution line.
* Divergence: A bullish CMF divergence occurs when the price makes a lower low, but the CMF makes a higher low (suggesting increasing buying pressure). A bearish divergence is the opposite.
* Volume-Weighted MACD (VWMACD):
* Purpose: Similar to the standard MACD but uses volume-weighted moving averages instead of simple moving averages, giving more weight to periods with higher volume.
* Divergence: Divergences are interpreted similarly to the standard MACD, but the VWMACD can be more sensitive to volume changes.
How It Works (Simplified):
1. Pivot Detection: The script identifies pivot highs and lows in both price and the selected indicators using the specified lookback periods.
2. Divergence Check: For each indicator:
* It checks if a series of pivots in price and the indicator are diverging (e.g., price makes a lower low, but the indicator makes a higher low for a bullish divergence).
* It calculates the divergence degree based on the difference in price and indicator values, weightings, and whether it's a regular or hidden divergence.
3. Strength Aggregation: The script sums up the divergence degrees of all enabled indicators to get the total divergence strength.
4. Visualization and Alerts: It draws lines and labels on the chart to visualize the divergences and generates alerts if the total strength exceeds the set threshold.
Benefits:
* Comprehensive Divergence Analysis: By considering multiple indicators, the script provides a more robust assessment of potential trend reversals.
* Customization: The many adjustable parameters allow traders to fine-tune the script to their specific trading style and preferences.
* Objective Strength Evaluation: The divergence strength calculation and categorization offer a more objective way to evaluate the significance of divergences.
* Early Warning System: Divergences can often precede significant price movements, making this script a valuable tool for anticipating potential trend changes.
* Volume Confirmation: The inclusion of CMF and VWMACD add volume-based confirmation to the divergence signals, potentially increasing their reliability.
Limitations:
* Lagging Indicators: Most of the indicators used are lagging, meaning they are based on past price data. Divergences may sometimes occur after a significant price move has already begun.
* False Signals: No indicator is perfect, and divergences can sometimes produce false signals, especially in choppy or ranging markets.
* Subjectivity: While the script aims for objectivity, some settings (like weightings and extreme values) still involve a degree of subjective judgment.
SMA Ribbon [A]SMA Ribbon with Adjustable MA200
20, 50, 100, and 200 -period Simple Moving Averages (SMAs) for trend analysis.
The SMA200 dynamically changes color based on its direction—green when rising and red when falling. Additionally, you can lock the SMA200 to the daily timeframe , allowing it to display the 200-day moving average on lower timeframes, such as 4-hour or 1-hour charts.
Features:
Dynamic SMA200 Color: Automatically adjusts to show upward (green) or downward (red) trends.
Daily SMA200 Option: Enables the SMA200 to represent the 200-day moving average on intraday charts for long-term trend insights.
Smart Adaptation: The daily SMA200 setting is automatically disabled on daily or higher timeframes, ensuring accurate period calculations.
How to Use:
Use this script to identify key support/resistance levels and overall market trends.
Adjust the "Daily MA for MA200" option in the settings to toggle between timeframe-specific and daily-locked SMA200.
This script is ideal for traders seeking a clean and customizable tool for long-term and short-term trend analysis.
PheonixLegend3MAPineScript indicator called "PhoenixLegend3MA" with the following features:
Display Options:
Each MA line can be individually enabled/disabled
Customizable colors for each MA line (default: blue for M15, red for M30, green for H1)
Adjustable line width (default is 2)
MA Options:
Choice between EMA and SMA
Default length is 1440
Displays for 3 timeframes: M15, M30, and H1
Code Organization:
Uses groups to categorize input settings
Dedicated function for MA calculation
Uses request.security to fetch data from different timeframes
This indicator helps traders visualize moving averages across multiple timeframes in a single chart, making it easier to identify trends and potential trading opportunities. Perfect for technical analysis and trend following strategies.
High/Mid/Low of the Previous Month, Week and Day + MAIntroducing the Ultimate Price Action Indicator
Take your trading to the next level with this feature-packed indicators. Designed to provide key price insights, this tool offers:
- Monthly, Weekly, and Daily Levels : Displays the High, Midpoint, and Low of the previous month, week, and day.
- Logarithmic Price Lines : Option to plot price levels logarithmically for enhanced accuracy.
- Customizable Labels : Display labels on price lines for better clarity. (This feature is optional.)
- Dual Moving Averages : Add two customizable Moving Averages (Simple, Exponential, or Weighted) directly on the price chart. (This feature is optional.)
This code combines features from the Moving Average Exponential and Daily Weekly Monthly Highs & Lows (sbtnc) indicators, with custom modifications to implement unique personal ideas.
Perfect for traders who want to combine precision with simplicity. Whether you're analyzing historical levels or integrating moving averages into your strategy, this indicator provides everything you need for informed decision-making.
To prevent change chart scale, right click on Price Scale and enable "Scale price chart only"
MA Direction Histogram
The MA Direction Histogram is a simple yet powerful tool for visualizing the momentum of a moving average (MA). It highlights whether the MA is trending up or down, making it ideal for identifying market direction quickly.
Key Features:
1. Custom MA Options: Choose from SMA, EMA, WMA, VWMA, or HMA for flexible analysis.
2. Momentum Visualization: Bars show the difference between the MA and its value from a lookback period.
- Blue Bars: Upward momentum.
- Yellow Bars: Downward momentum.
3. Easy Customization: Adjust the MA length, lookback period, and data source.
How to Use:
- Confirm Trends: Positive bars indicate uptrends; negative bars suggest downtrends.
- *Spot Reversals: Look for bar color changes as potential reversal signals.
Compact, intuitive, and versatile, the "MA Direction Histogram" helps traders stay aligned with market momentum. Perfect for trend-based strategies!
Adaptive Price Zone Oscillator [QuantAlgo]Adaptive Price Zone Oscillator 🎯📊
The Adaptive Price Zone (APZ) Oscillator by QuantAlgo is an advanced technical indicator designed to identify market trends and reversals through adaptive price zones based on volatility-adjusted bands. This sophisticated system combines typical price analysis with dynamic volatility measurements to help traders and investors identify trend direction, potential reversals, and market volatility conditions. By evaluating both price action and volatility together, this tool enables users to make informed trading decisions while adapting to changing market conditions.
💫 Dynamic Zone Architecture
The APZ Oscillator provides a unique framework for assessing market trends through a blend of smoothed typical prices and volatility-based calculations. Unlike traditional oscillators that use fixed parameters, this system incorporates dynamic volatility measurements to adjust sensitivity automatically, helping users determine whether price movements are significant relative to current market conditions. By combining smoothed price trends with adaptive volatility zones, it evaluates both directional movement and market volatility, while the smoothing parameters ensure stable yet responsive signals. This adaptive approach allows users to identify trending conditions while remaining aware of volatility expansions and contractions, enhancing both trend-following and mean-reversion strategies.
📊 Indicator Components & Mechanics
The APZ Oscillator is composed of several technical components that create a dynamic trending system:
Typical Price: Utilizes HLC3 (High, Low, Close average) as a balanced price representation
Volatility Measurement: Computes exponential moving average of price changes to determine dynamic zones
Smoothed Calculations: Applies additional smoothing to reduce noise while maintaining responsiveness
Trend Detection: Evaluates price position relative to adaptive zones to determine market direction
📈 Key Indicators and Features
The APZ Oscillator utilizes typical price with customizable length and threshold parameters to adapt to different trading styles. Volatility calculations are applied to determine zone boundaries, providing context-aware levels for trend identification. The trend detection component evaluates price action relative to the adaptive zones, helping validate trends and identify potential reversals.
The indicator also incorporates multi-layered visualization with:
Color-coded trend representation (bullish/bearish)
Clear trend state indicators (+1/-1)
Mean reversion signals with distinct markers
Gradient fills for better visual clarity
Programmable alerts for trend changes
⚡️ Practical Applications and Examples
✅ Add the Indicator : Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Trend State : Watch the oscillator's position relative to the zero line to identify trend direction and potential reversals. The step-line visualization with diamonds makes trend changes clearly visible.
🎯 Track Signals : Pay attention to the mean reversion markers that appear above and below the price chart:
→ Upward triangles (⤻) signal potential bullish reversals
→ X crosses (↷) indicate potential bearish reversals
🔔 Set Alerts : Configure alerts for trend changes in both bullish and bearish directions, ensuring you can act on significant technical developments promptly.
🌟 Summary and Tips
The Adaptive Price Zone Oscillator by QuantAlgo is a versatile technical tool, designed to support both trend following and mean reversion strategies across different market environments. By combining smoothed typical price analysis with dynamic volatility-based zones, it helps traders and investors identify significant trend changes while measuring market volatility, providing reliable technical signals. The tool's adaptability through customizable length, threshold, and smoothing parameters makes it suitable for various trading timeframes and styles, allowing users to capture opportunities while maintaining awareness of changing market conditions.
Key parameters to optimize for your trading style:
APZ Length: Adjust for more or less sensitivity to price changes
Threshold: Fine-tune the volatility multiplier for wider or narrower zones
Smoothing: Balance noise reduction with signal responsiveness
Granville Entry GuideThis indicator is designed to identify trade entry points using patterns 2 and 3 of the Granville's Law. It is compatible with version 6.
Determining Entry Points
・ Long Entry : When the medium-term moving average is rising, if the stock price falls close to or below the moving average and then begins to rise, with that bar being a bullish candle, it is determined as an entry point. At this time, a red circle will be displayed above the bar.
・ Short Entry : When the medium-term moving average is falling, if the stock price rises close to or above the moving average and then begins to fall, with that bar being a bearish candle, it is determined as an entry point. At this time, a blue circle will be displayed below the bar.
Trend Filter
Entry points will only be displayed if the following trend conditions are met:
・In an uptrend, the order of moving averages should be: short-term moving average, medium-term moving average, and long-term moving average from top to bottom. In a downtrend, the order should be: long-term moving average, medium-term moving average, and short-term moving average from top to bottom. The order of the short-term moving average is flexible.
・The medium-term and long-term moving averages should be inclined in the direction of the trend. The inclination of the short-term moving average is flexible.
Adjusting Parameters
・ Stock Selection : You can choose whether to use the stock price from candlesticks or the short-term moving average for determining entry points. Selecting candlesticks allows for quicker determination but increases noise, while selecting the short-term moving average slows down determination but reduces noise. The default value is the short-term moving average.
・ Determining Pullbacks or Retracements : This is determined by the number of bars on either side of the lowest point of the pullback. Increasing the number of bars reduces noise but may result in missed opportunities. The default values are 3 bars on the left and 1 bar on the right.
・ Use of Trend Filter : You can choose whether to use the trend filter. The default setting is to use it.
・ Conditions for Moving Average Inclination : You can choose whether to include the trend direction inclination in the trend filter conditions. The default setting is to include it.
・ Bar Background Color : The trend filter is displayed with the bar's background color, but it can also be set to not display.
このインジケーターは、グランビルの法則のパターン2とパターン3を利用して、トレードのエントリーポイントを見つけるためのものです。version6に対応しています。
エントリーポイントの判定方法
ロングエントリー :中期移動平均線が上昇しているとき、株価が移動平均線の近くまで落ちるか、割り込んだ後に上昇を始め、そのバーが陽線である場合にエントリーポイントと判定します。このとき、赤い丸がバーの上に表示されます。
ショートエントリー :中期移動平均線が下落しているとき、株価が移動平均線の近くまで上昇するか、上抜けた後に下落を始め、そのバーが陰線である場合にエントリーポイントと判定します。このとき、青い丸がバーの下に表示されます。
トレンドフィルター
エントリーポイントは、次のトレンド条件を満たす場合のみ表示されます。
・上昇トレンドの場合、移動平均線が上から中期移動平均線、長期移動平均線の順になっている。下降トレンドの場合、移動平均線が上から長期移動平均線、中期移動平均線の順になっている。なお短期移動平均線の順番は任意です。
・中期移動平均線と長期移動平均線がトレンド方向に傾いている。なお短期移動平均線の傾きは任意です。
パラメーターの調整方法
・ 株価の選択 : エントリーポイントの判定に使用する株価を、ローソク足か短期移動平均線から選べます。ローソク足を選ぶと判定が早くなりますがノイズが増え、短期移動平均線を選ぶと判定が遅くなりますがノイズが減ります。初期値は短期移動平均線です。
・ 押しや戻りの判定 : 押しの最下点の左右のバーの数で判定します。バーの数を増やすとノイズが減りますが、機会を逃すこともあります。初期値は左が3、右が1です。
・ トレンドフィルターの使用 : トレンドフィルターを使うかどうかを選べます。初期値は使用する設定です。
・ 移動平均線の傾きの条件 : トレンドフィルターのうち、トレンド方向の傾きを条件に入れるかどうかを選べます。初期値は条件に入れる設定です。
バーの背景色: トレンドフィルターはバーの背景色で表示されますが、非表示に設定することもできます。
Prediction Based on Linreg & Atr
We created this algorithm with the goal of predicting future prices 📊, specifically where the value of any asset will go in the next 20 periods ⏳. It uses linear regression based on past prices, calculating a slope and an intercept to forecast future behavior 🔮. This prediction is then adjusted according to market volatility, measured by the ATR 📉, and the direction of trend signals, which are based on the MACD and moving averages 📈.
How Does the Linreg & ATR Prediction Work?
1. Trend Calculation and Signals:
o Technical Indicators: We use short- and long-term exponential moving averages (EMA), RSI, MACD, and Bollinger Bands 📊 to assess market direction and sentiment (not visually presented in the script).
o Calculation Functions: These include functions to calculate slope, average, intercept, standard deviation, and Pearson's R, which are crucial for regression analysis 📉.
2. Predicting Future Prices:
o Linear Regression: The algorithm calculates the slope, average, and intercept of past prices to create a regression channel 📈, helping to predict the range of future prices 🔮.
o Standard Deviation and Pearson's R: These metrics determine the strength of the regression 🔍.
3. Adjusting the Prediction:
o The predicted value is adjusted by considering market volatility (ATR 📉) and the direction of trend signals 🔮, ensuring that the prediction is aligned with the current market environment 🌍.
4. Visualization:
o Prediction Lines and Bands: The algorithm plots lines that display the predicted future price along with a prediction range (upper and lower bounds) 📉📈.
5. EMA Cross Signals:
o EMA Conditions and Total Score: A bullish crossover signal is generated when the total score is positive and the short EMA crosses above the long EMA 📈. A bearish crossover signal is generated when the total score is negative and the short EMA crosses below the long EMA 📉.
6. Additional Considerations:
o Multi-Timeframe Regression Channel: The script calculates regression channels for different timeframes (5m, 15m, 30m, 4h) ⏳, helping determine the overall market direction 📊 (not visually presented).
Confidence Interpretation:
• High Confidence (close to 100%): Indicates strong alignment between timeframes with a clear trend (bullish or bearish) 🔥.
• Low Confidence (close to 0%): Shows disagreement or weak signals between timeframes ⚠️.
Confidence complements the interpretation of the prediction range and expected direction 🔮, aiding in decision-making for market entry or exit 🚀.
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Creamos este algoritmo con el objetivo de predecir los precios futuros 📊, específicamente hacia dónde irá el valor de cualquier activo en los próximos 20 períodos ⏳. Utiliza regresión lineal basada en los precios pasados, calculando una pendiente y una intersección para prever el comportamiento futuro 🔮. Esta predicción se ajusta según la volatilidad del mercado, medida por el ATR 📉, y la dirección de las señales de tendencia, que se basan en el MACD y las medias móviles 📈.
¿Cómo Funciona la Predicción con Linreg & ATR?
Cálculo de Tendencias y Señales:
Indicadores Técnicos: Usamos medias móviles exponenciales (EMA) a corto y largo plazo, RSI, MACD y Bandas de Bollinger 📊 para evaluar la dirección y el sentimiento del mercado (no presentados visualmente en el script).
Funciones de Cálculo: Incluye funciones para calcular pendiente, media, intersección, desviación estándar y el coeficiente de correlación de Pearson, esenciales para el análisis de regresión 📉.
Predicción de Precios Futuros:
Regresión Lineal: El algoritmo calcula la pendiente, la media y la intersección de los precios pasados para crear un canal de regresión 📈, ayudando a predecir el rango de precios futuros 🔮.
Desviación Estándar y Pearson's R: Estas métricas determinan la fuerza de la regresión 🔍.
Ajuste de la Predicción:
El valor predicho se ajusta considerando la volatilidad del mercado (ATR 📉) y la dirección de las señales de tendencia 🔮, asegurando que la predicción esté alineada con el entorno actual del mercado 🌍.
Visualización:
Líneas y Bandas de Predicción: El algoritmo traza líneas que muestran el precio futuro predicho, junto con un rango de predicción (límites superior e inferior) 📉📈.
Señales de Cruce de EMAs:
Condiciones de EMAs y Puntaje Total: Se genera una señal de cruce alcista cuando el puntaje total es positivo y la EMA corta cruza por encima de la EMA larga 📈. Se genera una señal de cruce bajista cuando el puntaje total es negativo y la EMA corta cruza por debajo de la EMA larga 📉.
Consideraciones Adicionales:
Canal de Regresión Multi-Timeframe: El script calcula canales de regresión para diferentes marcos de tiempo (5m, 15m, 30m, 4h) ⏳, ayudando a determinar la dirección general del mercado 📊 (no presentado visualmente).
Interpretación de la Confianza:
Alta Confianza (cerca del 100%): Indica una fuerte alineación entre los marcos temporales con una tendencia clara (alcista o bajista) 🔥.
Baja Confianza (cerca del 0%): Muestra desacuerdo o señales débiles entre los marcos temporales ⚠️.
La confianza complementa la interpretación del rango de predicción y la dirección esperada 🔮, ayudando en las decisiones de entrada o salida en el mercado 🚀.
Multiple Moving Average Deviation Composite IndicatorMulti-Moving Average Deviation Comprehensive Indicator
Indicator Name
Multi-Moving Average Deviation Comprehensive Indicator (Short Title: Multi-MA Deviation Indicator)
**Design Concept**
This indicator is based on the deviation rates of multiple Exponential Moving Averages (EMA) to analyze market trends, overbought/oversold regions, and potential buy/sell signals. By visualizing comprehensive deviations and MACD-like signals, it provides intuitive market dynamics and deeper insights into price behavior through divergence detection.
Logic and Implementation Details
1. **Calculation of Multiple EMAs**
- Four user-defined periods (default: 20, 50, 100, 200) are used to calculate EMAs.
- Each EMA reflects the price trend over a specific timeframe.
2. **Deviation Rate Calculation**
- **Types of Deviation:**
- Deviation between closing price and EMA20:
$dif20 = \frac{close}{EMA20} \times 100 - 100$
- Deviation between EMA20 and EMA50:
$dif25 = \frac{EMA20}{EMA50} \times 100 - 100$
- Deviation between EMA50 and EMA100:
$dif51 = \frac{EMA50}{EMA100} \times 100 - 100$
- Deviation between EMA100 and EMA200:
$dif120 = \frac{EMA100}{EMA200} \times 100 - 100$
- Comprehensive Deviation Indicator (difxx):
Combines the above deviations with equal weighting to reflect the overall trend deviation.
3. **Trend Determination**
- If the comprehensive deviation (`difxx`) is positive, the market is in an uptrend.
- If `difxx` is negative, the market is in a downtrend.
4. **MACD-Like Dynamic Analysis**
- Computes the Simple Moving Average (SMA) and Exponential Moving Average (EMA) of the comprehensive deviation (`difxx`) to generate MACD-like signals.
- The histogram difference reflects market momentum changes.
- Histogram crossing from negative to positive triggers a buy signal, while crossing from positive to negative triggers a sell signal.
5. **Overbought and Oversold Regions**
- Defines dynamic overbought (`difmax`) and oversold (`difmin`) levels based on historical lowest and highest values of `difxx`.
- Values above `difmax` indicate an overbought region, and values below `difmin` indicate an oversold region.
6. **Divergence Detection**
- **Bearish Divergence:** Price makes a new high, but `difxx` does not.
- **Bullish Divergence:** Price makes a new low, but `difxx` does not.
- Divergence signals are marked on the chart for clarity.
7. **Trend Labels**
- Displays the current trend state (uptrend, downtrend, or sideways) on the chart.
How to Use
Parameter Settings
- Users can customize the following parameters to adapt to different market conditions:
- EMA periods (default: 20, 50, 100, 200)
- Length for calculating overbought and oversold levels (default: 200)
Key Signals
1. **Buy Signal**
- Triggered when the MACD histogram crosses from negative to positive.
- Buy signals in the oversold region are more reliable.
2. **Sell Signal**
- Triggered when the MACD histogram crosses from positive to negative.
- Sell signals in the overbought region carry higher risk.
3. **Trend Determination**
- Background color indicates the current trend:
- **Green Background:** Uptrend.
- **Red Background:** Downtrend.
4. **Divergence Signals**
- Bullish divergence suggests potential upward reversals.
- Bearish divergence suggests potential downward reversals.
Application Scenarios
- **Short-Term Trading:** Capture short-term reversals using overbought/oversold signals.
- **Trend Following:** Use `difxx` to identify trends and confirm them with MACD momentum.
- **Divergence Analysis:** Spot turning points in the market.
Notes
1. **Market Adaptability:**
- This indicator works best in trending markets but may produce false signals in sideways markets.
2. **Parameter Optimization:**
- Adjust EMA periods and divergence detection windows based on the characteristics of the asset being traded.
3. **Combination with Other Tools:**
- Enhance results by combining this indicator with other technical tools, such as Bollinger Bands or RSI.
This indicator allows traders to grasp market trends clearly, identify trading opportunities, and gain a deeper understanding of market behavior.
**多重移动平均线辑与使用说明**
**设计思路**
本指标基于多个指数移动平均线（EMA）的偏差率计算，用以分析市场的趋势、超买超卖区域、以及潜在的买卖信号。通过综合偏差和类似 MACD 的信号直观展现市场动态，并通过背离检测提供更深层次的价格行为洞察。
**逻辑与实现细节**
1. **多周期 EMA 计算**
- 使用四个用户自定义周期（默认分别为 20、50、100、200）计算 EMA。
- 每条 EMA 表示不同时间范围的价格趋势。
2. **偏差率计算**
- **偏差类型：**
- 收盘价与 EMA20 的偏差：$dif20 = \frac{close}{EMA20} \times 100 - 100$
- EMA20 与 EMA50 的偏差：$dif25 = \frac{EMA20}{EMA50} \times 100 - 100$
- EMA50 与 EMA100 的偏差：$dif51 = \frac{EMA50}{EMA100} \times 100 - 100$
- EMA100 与 EMA200 的偏差：$dif120 = \frac{EMA100}{EMA200} \times 100 - 100$
- 综合偏差指标（difxx）：对上述偏差赋予等权重并加总，用于反映综合趋势偏离程度。
3. **趋势判定**
- 若综合偏差 `difxx` 为正，则市场处于上升趋势。
- 若综合偏差 `difxx` 为负，则市场处于下降趋势。
4. **类似 MACD 的动态分析**
- 计算综合偏差的简单移动平均线（SMA）与指数移动平均线（EMA），形成类似 MACD 的信号。
- 差值直方图表示市场动能变化。
- 直方图由负转正触发买入信号，由正转负触发卖出信号。
5. **超买和超卖区域**
- 根据历史综合偏差最低和最高值定义动态超买（difmax）和超卖（difmin）水平。
- 超过 difmax 为超买区域，低于 difmin 为超卖区域。
6. **背离检测**
- **看跌背离：**价格创新高，但 `difxx` 没有创新高。
- **看涨背离：**价格创新低，但 `difxx` 没有创新低。
- 背离信号通过图形标记提示。
7. **趋势标签**
- 显示当前趋势状态（上升趋势、下降趋势或横向盘整）在图表上。
**使用方法**
**参数设置**
- 用户可调整以下参数以适应不同市场条件：
- EMA 周期（默认 20、50、100、200）
- 超买和超卖计算的参考长度（默认 200）
**主要信号**
1. **买入信号**
- 当 MACD 直方图由负转正，标记为“买入信号”。
- 超卖区域中出现买入信号具有更高可信度。
2. **卖出信号**
- 当 MACD 直方图由正转负，标记为“卖出信号”。
- 超买区域中出现卖出信号风险较高。
3. **趋势判断**
- 图表背景颜色指示当前趋势方向：
- **绿色背景：**上升趋势。
- **红色背景：**下降趋势。
4. **背离信号**
- 看涨背离提示可能的趋势反转向上。
- 看跌背离提示可能的趋势反转向下。
**应用场景**
- **短线交易：**结合超买超卖信号捕捉短期反转。
- **趋势跟踪：**利用 difxx 趋势判断并结合 MACD 动能确认趋势延续。
- **背离分析：**用于捕捉市场转折点。
**注意事项**
1. **市场适应性：**
- 指标适用于趋势明显的市场，震荡行情中可能出现较多虚假信号。
2. **参数优化：**
- 建议根据交易标的特性调整 EMA 周期与背离检测窗口长度。
3. **配合使用：**
- 与其他技术分析工具（如布林带、RSI）结合使用效果更佳。
通过此指标，交易者可以清晰掌握市场趋势、发现买卖机会，并更全面地理解市场行为。
指标若是有什么BUG或者建议请广大粉丝留言评论。
Gauti Market Maker Killzone EMA1. Identifying the Trend
Use Daily (1D) and Hourly (1H) Exponential Moving Averages (EMAs) to define the overall trend:
Bullish Trend: Both 1D and 1H EMAs are upward sloping, and the price is above these EMAs.
Bearish Trend: Both 1D and 1H EMAs are downward sloping, and the price is below these EMAs.
2. Confirmation with Higher Timeframes
Bullish Conditions:
Check 1D and 4H charts for price action above the EMA bands.
Look for price forming higher highs and higher lows or respecting support at the EMA bands.
Bearish Conditions:
Check 1D and 4H charts for price action below the EMA bands.
Look for price forming lower highs and lower lows or respecting resistance at the EMA bands.
Note: Crossover of EMAs on higher timeframes is an optional extra confirmation, but not mandatory for entry.
3. Entry Strategy
Use the 15-Minute (15M) timeframe for entries.
Entries are taken only during Killzones:
Killzones: London Open, New York Open, or other intraday key trading sessions. (Define the time ranges for these zones based on your trading hours.)
Wait for the price to touch or pull back to the EMA band during the Killzones in the direction of the overall trend:
In a bullish trend, enter long when the price touches the EMA band and shows signs of rejection or reversal.
In a bearish trend, enter short when the price touches the EMA band and shows signs of rejection or reversal.
4. Checklist for Entry
Confirm the following before entering:
1D Trend aligns with the 1H Trend.
Price Action in 1D and 4H supports the trend.
Killzone session is active.
Price is reacting to the EMA band on the 15M chart in the trend direction.
Multi-Indicator Signal with TableThis indicator is a versatile multi-indicator tool designed for traders who want to combine signals from various popular indicators into a single framework. It not only visualizes buy and sell signals but also provides a clear, easy-to-read table that summarizes the included indicators and their respective signal colors.
Key Features:
RSI (Relative Strength Index):
Buy Signal: RSI falls below the oversold level (default: 30).
Sell Signal: RSI rises above the overbought level (default: 70).
Signal Color: Green.
MACD (Moving Average Convergence Divergence):
Buy Signal: MACD line crosses above the signal line.
Sell Signal: MACD line crosses below the signal line.
Signal Color: Blue.
MA Crossover (Moving Average Crossover):
Buy Signal: Short EMA (default: 7) crosses above Long SMA (default: 14).
Sell Signal: Short EMA crosses below Long SMA.
Signal Color: Purple.
Stochastic Oscillator:
Buy Signal: Stochastic %K falls below 20 and crosses above %D.
Sell Signal: Stochastic %K rises above 80 and crosses below %D.
Signal Color: Yellow.
TSI (True Strength Index):
Buy Signal: TSI crosses above the zero line.
Sell Signal: TSI crosses below the zero line.
Signal Color: Red.
Dynamic Signal Table:
A clean, compact table displayed at the top-right corner of the chart, summarizing the indicators and their respective signal colors for quick reference.
Customization:
All indicator parameters are fully adjustable, allowing users to fine-tune settings to match their trading strategy.
Signal colors and table design ensure a visually intuitive experience.
Usage:
This tool is ideal for traders who prefer a multi-indicator approach for generating buy/sell signals.
The combination of different indicators helps to filter out noise and increase the accuracy of trade setups.
Notes:
Signals appear only after the confirmation of the current bar to avoid false triggers.
This indicator is designed for educational purposes and should be used in conjunction with proper risk management strategies.
Bitcoin: Mayer MultipleMayer Multiple Indicator
The Mayer Multiple is a powerful tool designed to help traders assess market conditions and identify optimal buying or selling opportunities. It calculates the ratio between the current price and its 200-day simple moving average (SMA), visualizing key thresholds that indicate value zones, caution areas, and overheated markets.
Key Features:
Dynamic Market Zones: Clearly marked levels like "Smash Buy," "Boost DCA," and "Extreme Euphoria" to guide your trading decisions.
Customizable Input: Adjust the SMA length to fit your strategy.
Color-Coded Signals: Intuitive visualization of market sentiment for quick analysis.
Comprehensive Thresholds: Historical insights into price behavior with plotted reference levels based on probabilities.
This indicator is ideal for traders aiming to enhance their long-term strategies and improve decision-making in volatile markets. Use it to gain an edge in identifying potential turning points and managing risk effectively.
Bitcoin SMA channels - quorraThis indicator is specifically designed to identify potential Bitcoin bottom zones based on historical data and market trends. By analyzing price cycles and key support levels, it helps traders and investors make informed decisions. This tool is tailored for optimal use on higher timeframes like the daily chart. (Don't forget to ensure your chart is set to logarithmic)
1. Simple Moving Average (SMA) Calculation and Gradient Coloring
The script begins by calculating the 350-period SMA (sma350), which serves as the foundation for identifying the market's overall trend. To make the SMA visually intuitive, a gradient color function is implemented. This function changes the SMA's color based on whether the current price (close) is above or below the SMA.
If the price is above the SMA, the line appears in gray.
If the price is below the SMA, the line takes on a darker red shade.
This gradient coloring helps traders quickly gauge market sentiment and momentum, as the SMA effectively acts as a dynamic trend line.
2. Fibonacci-Based Multipliers for SMA Levels
The indicator computes several levels based on Fibonacci multipliers of the 350-period SMA. These levels provide additional layers of insight into potential support and resistance zones. The multipliers range from small values like 0.144 (indicating closer proximity to the SMA) to larger values like 9 (representing distant extensions).
These Fibonacci levels are plotted using hidden lines, ensuring that the chart remains uncluttered while still allowing for strategic visualization through filled zones. For instance:
Levels like SMA x 0.144 to SMA x 0.355 are closer to the SMA and are categorized as potential buy zones.
Levels like SMA x 2 to SMA x 9 extend further and are considered sell zones.
3. Filling Areas to Visualize Zones
To enhance the visual representation, the script uses fill() functions to color the regions between specific Fibonacci levels:
Buy Zones: These areas are filled with a semi-transparent gray color (#5a5a5a) to indicate levels where prices are likely to bounce upward.
Sell Zones: Conversely, these areas are filled with a semi-transparent red color (#5f0000), signaling regions where prices may encounter resistance and reverse downward.
This layered approach helps traders identify actionable price ranges without overwhelming them with excessive visual elements.
4. Pivot Points and Their Visualization
The script includes a pivot point system for identifying local highs and lows. Depending on the selected source (High/Low or Close/Open), it calculates pivot highs and lows over a specified period (prd).
Pivot highs (ph) are marked above bars using downward-facing labels.
Pivot lows (pl) are marked below bars using upward-facing labels.
The pivot points are adjustable via user inputs, allowing traders to fine-tune the detection of significant price swings.
5. Support and Resistance Channel Analysis
A key feature of this indicator is its ability to identify and display support and resistance (S/R) levels. The script calculates the maximum allowable width of an S/R channel as a percentage of the price range over a 300-bar window. It then groups pivot points within these channels to derive high and low boundaries.
Resistance Levels: Represented by the upper bounds of channels and highlighted with a red color.
Support Levels: Represented by the lower bounds of channels and highlighted with a gray color.
These levels are dynamically adjusted based on user-defined parameters such as channel width, maximum S/R levels, and strength.
6. Advanced Input Customization
The indicator provides several user-configurable inputs to adapt it to different trading strategies:
Pivot Period (prd): Determines the sensitivity of pivot point calculations.
Channel Width: Controls the percentage width of S/R zones.
Maximum S/R Levels: Sets the maximum number of S/R zones displayed.
Line Style and Color Settings: Allows customization of the visual appearance of lines and labels.
7. Strength Filtering for S/R Levels
To ensure the reliability of identified S/R levels, the script incorporates a filtering mechanism based on strength. Strength is determined by the number of pivot points that fall within a channel. Levels with insufficient strength are excluded, ensuring that only significant S/R zones are displayed.
8. Practical Applications
This indicator can be applied in various trading strategies:
Trend Identification: The SMA and its gradient coloring provide a clear indication of the market's prevailing trend.
Support/Resistance Trading: The Fibonacci levels and S/R zones help traders identify potential entry and exit points.
Risk Management: By visualizing key levels, the indicator assists traders in setting stop-loss and take-profit levels effectively.
This script combines multiple technical analysis techniques into a single, visually intuitive tool. It is particularly useful for Bitcoin traders seeking to enhance their decision-making process by leveraging both trend and level-based analysis.
Although this indicator is specifically designed for Bitcoin, it can also be applied to stocks or altcoins. It works best on longer timeframes, such as the daily chart. When the price reaches specific support levels, it may be wise to activate a DCA bot or confirm the bottom using other indicators. This approach helps enhance decision-making and ensures a more strategic entry or exit from positions.
Custom EMA (v4) [MacroGlide]Custom EMA (v4) is an easy-to-use tool designed for traders who want a clear and reliable way to analyze market trends. By using multiple Exponential Moving Averages (EMAs), this indicator helps you visualize the market's direction and momentum in a straightforward way. Whether you're tracking short-term movements or looking for long-term patterns, Custom EMA makes it simple to spot trends and trading opportunities.
Key Features:
• Multi-EMA System: Plots up to four EMAs on the chart with customizable lengths and colors, providing flexibility to analyze trends over different timeframes.
• Dynamic Trend Cloud: A visually intuitive cloud is generated between the fastest and slowest EMA. The cloud changes color based on market trends:
• Green Cloud: Indicates a bullish trend when shorter EMAs are above longer EMAs.
• Red Cloud: Indicates a bearish trend when shorter EMAs are below longer EMAs.
• Highlighting Zones: Background shading helps distinguish bullish and bearish conditions, further clarifying the prevailing trend in the market.
How to Use:
• Add the Indicator: Load the indicator onto your chart and customize the EMA lengths to suit your trading style.
• Interpret the Cloud: Observe the color of the trend cloud to identify bullish (green) or bearish (red) market conditions.
• Combine with Highlighting Zones: Use the background shading in conjunction with the cloud to confirm trend strength and direction.
• Customize to Fit Your Strategy: Adjust the lengths and colors of the EMAs to align with your preferred analysis timeframe.
Methodology:
This indicator leverages a layered EMA approach, using up to four EMAs to calculate the trend cloud and define market conditions. By comparing the relative positions of the EMAs, it identifies bullish and bearish trends and visually represents them with a color-coded cloud. The inclusion of highlighting zones enhances the trader's ability to quickly grasp market sentiment.
Originality and Usefulness:
Custom EMA (v4) sets itself apart by integrating a trend cloud that adapts dynamically to EMA positions, providing traders with a clean and intuitive way to visualize market trends. The combination of multi-EMA plotting, background shading, and trend cloud offers comprehensive insight into both short-term and long-term market movements.
Charts:
The indicator plots four customizable EMAs alongside a trend cloud that visually captures market direction. Whether you're monitoring short-term price action or identifying long-term trends, the Custom EMA (v4) provides clarity and simplicity for traders at all levels.
Enjoy the game!
EMA SCALPING SUITE v1.0 [1M-5M]EMA SCALPING SUITE v1.0
A scalping indicator designed for quick entries on lower timeframes, combining EMA
stacks with volume confirmation and automatic risk management levels.
CORE FEATURES:
1. EMA Stack System:
- 50 EMA (Blue): Fastest trend
- 100 EMA (Yellow): Entry trigger line
- 150 EMA (Orange): Stop loss reference
- 200 EMA (Red): Base trend
2. Entry System:
- LONG: When price dips to 100 EMA during bullish fan
- SHORT: When price rises to 100 EMA during bearish fan
- Signals shown as triangles at entry points
3. Risk Management:
- Auto Stop Loss: 150 EMA (red line)
- Auto Take Profit: Based on RR ratio (green line)
- Entry Price Marker: Current close (blue line)
4. Volume Confirmation:
- High volume dots (>1.5x average)
- Filters out weak signals
- Adjustable sensitivity
HOW IT WORKS:
1. Wait for EMAs to fan out (trend alignment)
2. Look for price to touch 100 EMA
3. Check for volume confirmation
4. Enter when signal appears
5. Use auto-generated SL and TP levels
BEST TIMEFRAMES:
- Primary: 1 minute
- Secondary: 3-5 minutes
- Not recommended: >15 minutes
RECOMMENDED SETTINGS:
- Volume Filter: ON
- Volume Multiplier: 1.5
- Risk:Reward: 1.5
Universal Forex Strength Index - UFSIUniversal Forex Strength Index: A Comprehensive Guide for Traders
The Universal Forex Strength Index (UFSI) is a powerful technical analysis tool designed to help traders assess the strength of various currency pairs in the Forex market. This guide will walk you through the functionality of the UFSI, how to interpret its signals, and how to utilize it effectively in your trading strategy.
Understanding the Components of UFSI
1. Relative Strength Index (RSI)
The UFSI utilizes the Relative Strength Index (RSI), a momentum oscillator that measures the speed and change of price movements. The RSI ranges from 0 to 100 and is typically used to identify overbought or oversold conditions:
Above 70: Overbought condition
Below 30: Oversold condition
2. Exponential Moving Averages (EMA)
The indicator also incorporates two Exponential Moving Averages:
EMA 21: A short-term trend indicator.
EMA 50: A longer-term trend indicator.
The difference between these two EMAs is normalized to create a value that reflects market momentum.
3. Strength Index Calculation
The UFSI combines the RSI and the normalized EMA difference to produce a composite strength index. This index ranges from 0 to 100 and provides insights into the overall strength of a currency pair.
4. EMA of the Strength Index
A 50-period EMA of the strength index is calculated to smooth out fluctuations and provide a clearer trend direction.
Color Coding System
The UFSI employs a dynamic color-coding scheme that helps traders quickly assess market conditions:
Strength Index Colors
Green Shades: Indicates a strong bullish trend.
Dark Green (#006400) to Light Green (#008000): Strong bullish momentum.
Orange Shades: Indicates a potential reversal or uncertainty.
Orange (#FFA500) to Gold (#FFD700): Bullish but losing momentum.
Red Shades: Indicates a strong bearish trend.
Dark Red (#FF4500) to Bright Red (#FF0000): Strong bearish momentum.
Blue Shades: Indicates neutral or indecisive market conditions.
Light Blue (#1E90FF) to Dark Blue (#0000FF): No clear trend.
EMA Gradient Color
The color of the 50 EMA of the Strength Index changes based on its value:
Above 50: Indicates bullish sentiment, transitioning from light green to dark green as strength increases.
Below 50: Indicates bearish sentiment, transitioning from red to orange as strength decreases.
How to Use the Universal Forex Strength Index in Trading
Step-by-Step Trading Strategy
Identify Market Conditions
Look at the color of the strength index line:
If it’s predominantly green, consider looking for buying opportunities.
If it’s predominantly red, consider looking for selling opportunities.
If it’s blue, be cautious as there may be no clear trend.
Confirm with EMA
Check the position of the strength index relative to its EMA:
If the strength index is above its EMA and both are above 50, this confirms a strong bullish trend.
If the strength index is below its EMA and both are below 50, this confirms a strong bearish trend.
Set Entry and Exit Points
Use traditional support and resistance levels or other indicators (like moving averages or Fibonacci retracement levels) for setting entry and exit points.
Consider entering trades when there’s a crossover between the strength index and its EMA, especially when confirmed by color changes.
Risk Management
Always use stop-loss orders to protect against unexpected market movements.
Adjust your position size based on your risk tolerance and account size.
Conclusion
The Universal Forex Strength Index is an invaluable tool for traders seeking to gauge market sentiment and make informed trading decisions. By understanding its components, interpreting its color-coded signals, and integrating it into your trading strategy, you can enhance your ability to navigate the complexities of the Forex market successfully.
Feel free to share this guide on TradingView or use it as part of your trading toolkit! Happy trading!
