MATA GOLD RATIOMata Gold Instrument: User Guide
The Instrument to Gold Oscillator is a technical analysis tool that normalizes the ratio of an instrument's price (e.g., BTC/USD) to the price of gold (XAU/USD) into a 0-100 scale. This provides a clear and intuitive way to evaluate the relative performance of an instrument compared to gold over a specified period.
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How It Works
1. Calculation of the Ratio:
The ratio is calculated as:
\text{Ratio} = \frac{\text{Instrument Price}}{\text{Gold Price}}
2. Normalization:
The ratio is normalized using the highest and lowest values over a user-defined period (length), typically 14 periods:
\text{Normalized Ratio} = \frac{\text{Ratio} - \text{Min(Ratio)}}{\text{Max(Ratio)} - \text{Min(Ratio)}} \times 100
3. Overbought/Oversold Levels:
Above 80: The instrument is relatively expensive compared to gold (overbought).
Below 20: The instrument is relatively cheap compared to gold (oversold).
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How to Use the Oscillator
1. Identify Overbought and Oversold Levels:
If the oscillator rises above 80, the instrument may be overvalued relative to gold. This could signal a potential reversal or correction.
If the oscillator falls below 20, the instrument may be undervalued relative to gold. This could signal a buying opportunity.
2. Track Trends:
Rising oscillator values indicate the instrument is gaining value relative to gold.
Falling oscillator values indicate the instrument is losing value relative to gold.
3. Crossing the Midline (50):
When the oscillator crosses above 50, the instrument's value is gaining strength relative to gold.
When it crosses below 50, the instrument is weakening relative to gold.
4. Combine with Other Indicators:
Use this oscillator alongside other technical indicators (e.g., RSI, MACD, STOCH) for more robust decision-making.
Confirm signals from the oscillator with price action or volume analysis.
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Example Scenarios
1. Trading Cryptocurrencies Against Gold:
If BTC/USD's oscillator value is above 80, Bitcoin may be overvalued relative to gold. Consider reducing exposure or looking for short opportunities.
If BTC/USD's oscillator value is below 20, Bitcoin may be undervalued relative to gold. This could be a good time to accumulate.
2. Commodities vs. Gold:
Analyze the relative strength of commodities (e.g., oil, silver) against gold using the oscillator to identify periods of overperformance or underperformance.
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Advantages of the Oscillator
Relative Performance Insight: Tracks the performance of an instrument relative to gold, providing a macro perspective.
Clear Visual Representation: The 0-100 scale makes it easy to identify overbought/oversold conditions and trend shifts.
Customizable Periods: The user-defined length allows flexibility in analyzing short- or long-term trends.
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Limitations
Dependence on Gold: As the oscillator is based on gold prices, any external shocks to gold (e.g., geopolitical events) can influence its signals.
No Absolute Buy/Sell Signals: The oscillator should not be used in isolation but as part of a broader analysis strategy.
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By using the Instrument to Gold Oscillator effectively, traders and investors can gain valuable insights into the relative valuation and performance of assets compared to gold, enabling more informed trading and investment decisions.
Oscillators
[LeonidasCrypto]Volume Force IndexVolume Force Index (VFI)
Overview
The Volume Force Index (VFI) is a technical indicator that measures the balance between buying and selling pressure in the market by analyzing volume patterns. It helps traders identify potential trend reversals and confirm trend strength.
What It Measures
Buying vs. selling volume pressure
Market momentum
Potential overbought/oversold conditions
Volume trend strength
How to Read the Indicator
Main Components:
Main Line (Green/Red)
Green: Buying pressure is dominant
Red: Selling pressure is dominant
The steeper the slope, the stronger the pressure
Signal Line (Yellow)
Fast EMA that helps identify trend changes
Acts as an early warning system for potential reversals
Dynamic Bands (Red/Green lines)
Adapt to market volatility
Help identify extreme conditions
Based on actual market volatility rather than fixed levels
Signals to Watch
Trend Direction:
Rising oscillator = Increasing buying pressure
Falling oscillator = Increasing selling pressure
Signal Line Crossovers:
Main line crosses above signal line = Potential bullish signal
Main line crosses below signal line = Potential bearish signal
Band Touches:
Touching upper band = Possible buying exhaustion
Touching lower band = Possible selling exhaustion
Color Changes:
Green to Red = Shift to selling pressure
Red to Green = Shift to buying pressure
Best Practices
When to Use:
Trend confirmation
Identifying potential reversals
Volume analysis
Market strength assessment
Tips:
Use in conjunction with price action
Look for divergences with price
More reliable on higher timeframes
Consider market context
Default Settings:
MA Period: 14 (volume calculation)
Smooth Length: 3 (noise reduction)
EMA Period: 4 (signal line)
Volatility Period: 20 (band calculation)
Volatility Multiplier: 1.5 (band width)
Best Markets to Apply
Any market with reliable volume data
Summary
The VFI is a powerful tool that combines volume analysis with trend identification. Its adaptive nature makes it suitable for various market conditions, but it should be used as part of a complete trading strategy, not in isolation.
Higher Timeframe Stochastics with Slope ColorThis script displays the Stochastic K value of a user-defined higher timeframe and colors the plot based on its slope, providing a unique way to visualize higher timeframe momentum on the current chart.
What makes it unique?
While many scripts display higher timeframe indicators, this script goes a step further by visually highlighting the *slope* of the higher timeframe Stochastic K. This allows traders to quickly assess the direction and strength of the higher timeframe momentum without switching timeframes or manually comparing values.
Features:
* **Primary Function:** Displays the Stochastic K value from a selected higher timeframe.
* **Secondary Function:** Colors the Stochastic K plot based on its slope compared to the previous confirmed value:
* Green: The current Stochastic K value is higher than the previous confirmed value, indicating increasing upward momentum on the higher timeframe.
* Red: The current Stochastic K value is lower than the previous confirmed value, indicating increasing downward momentum on the higher timeframe.
How it works:
* The script calculates the Stochastic K value using the standard formula with user-defined length and the selected higher timeframe.
* It then compares the current higher timeframe Stochastic K value with the *previous confirmed* value obtained using `request.security` with `lookahead=barmerge.lookahead_on`.
* The difference between these two values determines the slope, which is then represented by the color of the plot.
How to Use:
1. Add this script to your chart.
2. Configure the "Higher Timeframe" and "Stochastic Length" in the script settings.
3. Observe the plot of the higher timeframe Stochastic K value and its color changes. The color provides a quick visual cue of the higher timeframe momentum's direction.
Important Note about `request.security` and `lookahead=barmerge.lookahead_on`:
This script uses `request.security(..., lookahead=barmerge.lookahead_on)` to obtain the *previous confirmed* value of the higher timeframe Stochastic K. This is crucial for accurately calculating the slope. While `lookahead=barmerge.lookahead_on` can introduce lookahead bias on historical bars when used with non-offset expressions, in this case, it's used to access the *last confirmed value* of the higher timeframe, which is a valid and necessary approach for this calculation. The current higher timeframe value is then compared to this *already confirmed* past value, ensuring that the slope calculation and the resulting color changes are based on reliable data and do not repaint.
このスクリプトは、ユーザーが設定した上位時間足のストキャスティクス K 値を表示し、その傾きに基づいてプロットに色を付けることで、現在のチャート上で上位時間足のモメンタムを視覚化する独自の方法を提供します。
独自性:
多くのスクリプトが上位時間足のインジケーターを表示しますが、このスクリプトは上位時間足のストキャスティクス K の*傾き*を視覚的に強調することで、一歩進んだ機能を提供します。これにより、トレーダーは時間足を切り替えたり、手動で値を比較したりすることなく、上位時間足のモメンタムの方向と強さを素早く評価できます。
特徴:
* **主な機能:** 選択した上位時間足のストキャスティクス K 値を表示します。
* **補助的な機能:** 前回の確定値と比較した傾きに基づいて、ストキャスティクス K のプロットに色を付けます。
* 緑: 現在のストキャスティクス K 値が前回の確定値より高く、上位時間足で上昇モメンタムが増加していることを示します。
* 赤: 現在のストキャスティクス K 値が前回の確定値より低く、上位時間足で下降モメンタムが増加していることを示します。
仕組み:
* スクリプトは、ユーザー定義の期間と選択された上位時間足を使用して、標準的な計算式でストキャスティクス K 値を計算します。
* 次に、現在の高次時間枠のストキャスティクス K 値を、`request.security` と `lookahead=barmerge.lookahead_on` を使用して取得した*前回の確定値*と比較します。
* これら 2 つの値の差が傾きを決定し、プロットの色で表されます。
使い方:
1. このスクリプトをチャートに追加します。
2. スクリプトの設定で「上位時間枠」と「ストキャスティクスの期間」を設定します。
3. 上位時間足のストキャスティクス K 値のプロットとその色の変化を観察します。色は、上位時間足のモメンタムの方向を素早く視覚的に示します。
`request.security` と `lookahead=barmerge.lookahead_on` に関する重要な注意事項:
このスクリプトは、`request.security(..., lookahead=barmerge.lookahead_on)` を使用して、上位時間足のストキャスティクス K の*前回の確定値*を取得します。これは、傾きを正確に計算するために重要です。`lookahead=barmerge.lookahead_on` は、非オフセット式で使用すると過去のバーでルックアヘッドバイアスを引き起こす可能性がありますが、この場合、上位時間足の*最後の確定値*にアクセスするために使用されており、この計算には有効かつ必要なアプローチです。現在の高次時間枠の値は、この*既に確定した*過去の値と比較されるため、傾きの計算と結果として生じる色の変化は、信頼できるデータに基づいており、リペイントしないことが保証されます。
ADX, RSI, & TSI utilized as ART [by KeremErtem]The "ADX, RSI, & TSI utilized as ART" script is an advanced technical analysis tool designed by Kerem Ertem to help traders identify trend direction, strength, and potential reversals. It integrates the Average Directional Index (ADX), Relative Strength Index (RSI), and True Strength Index (TSI) into a cohesive, user-friendly indicator known as ART (Adaptive Relative Trend) .
What it does:
Trend Detection: Utilizes ADX to identify the strength and direction of trends.
Momentum Analysis: Uses RSI to gauge the speed and change of price movements.
Signal Smoothing: Incorporates TSI to reduce noise and provide clearer signals.
How it works:
Input Settings: Customize the source (hlc3), signal period (l1), and lookback range (l2) to tailor the indicator to your trading strategy.
Angle Calculation (ACI): The script calculates the angle of price movements using a custom function, which combines the lowest and highest prices with moving averages to create a smoother representation of trend angles.
Weighted Average: The ACI function is applied to the source price to derive a weighted average, which serves as the foundation for further calculations.
RSI Integration: The script calculates the RSI based on the weighted average price and further refines it using the ACI function to enhance signal accuracy.
ADX Calculation: ADX values are computed and adjusted using the ACI function to provide a clearer indication of trend strength and direction.
ART Indicator: The combined results of the RSI and ADX calculations form the ART indicator, which is plotted alongside trend lines and bands for comprehensive trend analysis.
Bands and Trend Lines: The script plots upper, lower, and center bands based on standard deviation and moving averages, providing visual cues for potential support and resistance levels.
How to use it:
Customization: Adjust the signal period, lookback range, RSI length, and ADX settings to fit your trading preferences.
Interpretation: Green ART signal lines indicate bullish trends, while red lines indicate bearish trends. The trend line color changes from cyan to magenta based on the trend direction.
Bands: Use the upper and lower bands as potential entry and exit points, with the center line acting as a trend confirmation.
This script offers a comprehensive approach to trend and momentum analysis, making it a valuable tool for traders seeking to enhance their trading strategies with advanced technical indicators.
Price and Volume Divergence Analyzer
How to Use the Indicator
Main Purpose:
Identify divergences between price movement, the volume line, and the weighted volume line to predict potential reversals.
Volume Line Explanation:
At zero: Equal buying and selling volume.
At 1: Double the buying volume vs. selling.
At -1: Double the selling volume vs. buying.
Divergence:
Price rising, volume line falling: Sellers offloading to buyers—likely reversal downward.
Price falling, volume line rising: Buyers stepping in—likely reversal upward.
Higher/Lower Volume Movement Line:
At zero: Equal volume required for price movement.
At 1: High efficiency—half the volume needed to move price.
At -1: Low efficiency—double the volume needed to move price.
Above volume line: Movement aligns with efficient volume.
Below volume line: Inefficient price movement.
Candle Fill Colors:
Shaded based on whether the current close is higher or lower than the previous close.
Settings Overview
EMA Settings:
Timeframe Selection:
Use a lower timeframe than your chart for accuracy. Avoid selecting a timeframe higher than your chart.
EMA Length Option:
Default: Sets lengths automatically (EMA = 14, EMA of EMA = 3).
User Input: Allows custom EMA length.
Calculation Type:
EMA: Standard exponential moving average.
EMA of EMA: Applies EMA three times for smoother values.
Volume Line Settings:
Line Width: Adjust thickness.
Colors:
More Buying: Green (default).
More Selling: Red (default).
Higher/Lower Volume Movement Line:
Line Width: Adjust thickness.
Colors:
Higher Volume Movement: Indicates higher volume required.
Lower Volume Movement: Indicates lower volume required.
Up/Down Candle Fill:
Colors:
Up Candle: Green (default).
Down Candle: Red (default).
Transparency: Adjust percentage for visibility.
Balance Line Settings:
Line Width and Color: Equilibrium line showing equal buying/selling volume at zero.
Flow-Weighted Volume Oscillator (FWVO)Volume Dynamics Oscillator (VDO)
Description
The Volume Dynamics Oscillator (VDO) is a powerful and innovative tool designed to analyze volume trends and provide traders with actionable insights into market dynamics. This indicator goes beyond simple volume analysis by incorporating a smoothed oscillator that visualizes the flow and momentum of trading activity, giving traders a clearer understanding of volume behavior over time.
What It Does
The VDO calculates the flow of volume by scaling raw volume data relative to its highest and lowest values over a user-defined period. This scaled volume is then smoothed using an exponential moving average (EMA) to eliminate noise and highlight significant trends. The oscillator dynamically shifts above or below a zero line, providing clear visual cues for bullish or bearish volume pressure.
Key features include:
Smoothed Oscillator: Displays the direction and momentum of volume using gradient colors.
Threshold Markers: Highlights overbought or oversold zones based on upper and lower bounds of the oscillator.
Visual Fill Zones: Uses color-filled areas to emphasize positive and negative volume flow, making it easy to interpret market sentiment.
How It Works
The calculation consists of several steps:
Smoothing with EMA: An EMA of the scaled volume is applied to reduce noise and enhance trends. A separate EMA period can be adjusted by the user (Volume EMA Period).
Dynamic Thresholds: The script determines upper and lower bounds around the smoothed oscillator, derived from its recent highest and lowest values. These thresholds indicate critical zones of volume momentum.
How to Use It
Bullish Signals: When the oscillator is above zero and green, it suggests strong buying pressure. A crossover from negative to positive can signal the start of an uptrend.
Bearish Signals: When the oscillator is below zero and blue, it indicates selling pressure. A crossover from positive to negative signals potential bearish momentum.
Overbought/Oversold Zones: Use the upper and lower threshold levels as indicators of extreme volume momentum. These can act as early warnings for trend reversals.
Traders can adjust the following inputs to customize the indicator:
High/Low Period: Defines the period for volume scaling.
Volume EMA Period: Adjusts the smoothing factor for the oscillator.
Smooth Factor: Controls the responsiveness of the smoothed oscillator.
Originality and Usefulness
The VDO stands out by combining dynamic volume scaling, EMA smoothing, and gradient-based visualization into a single, cohesive tool. Unlike traditional volume indicators, which often display raw or cumulative data, the VDO emphasizes relative volume strength and flow, making it particularly useful for spotting reversals, confirming trends, and identifying breakout opportunities.
The integration of color-coded fills and thresholds enhances usability, allowing traders to quickly interpret market conditions without requiring deep technical expertise.
Chart Recommendations
To maximize the effectiveness of the VDO, use it on a clean chart without additional indicators. The gradient coloring and filled zones make it self-explanatory, but traders can overlay basic trendlines or support/resistance levels for additional context.
For advanced users, the VDO can be paired with price action strategies, candlestick patterns, or other trend-following indicators to improve accuracy and timing.
ADX-DMIThis script manually calculates the Directional Movement Index (DMI) and the Average Directional Index (ADX) using Wilder’s smoothing technique. The DMI indicators are used to assess the strength and direction of a market trend. It includes three main lines: ADX (yellow), DI+ (green), and DI− (red). Traders use these indicators to determine whether a trend is strong and in which direction it is moving.
The process begins by defining the length parameter, which determines how many periods are considered in the calculation. It then calculates the True Range (TR), which is the greatest of three values: the difference between the current high and low, the difference between the current high and the previous close, and the difference between the current low and the previous close. This TR is used to compute the Average True Range (ATR), which smooths out price fluctuations to get a clearer picture of the market’s volatility. Next, the script calculates the +DM (positive directional movement) and -DM (negative directional movement) based on the changes in the highs and lows from one period to the next.
Finally, the script computes the DI+ and DI− values by dividing the smoothed +DM and -DM by the ATR and multiplying by 100 to express them as percentages. The DX value is calculated as the absolute difference between DI+ and DI−, normalized by the sum of both values. The ADX is then derived by smoothing the DX value over the specified length. The three indicators — ADX, DI+, and DI− — are plotted in the lower chart panel, providing traders with visual cues about the trend’s direction (DI+ and DI−) and strength (ADX).
Important Notice:
The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data before applying them in live trading scenarios.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research before making any trading decisions.
Red Pill VWAP/RSI DivergenceI created this indicator to identify moments in time VWAP and RSI are diverging.
Ideally useful in strong trend, bullish or bearish, as a potential entry point on a pull back for continuation. Not to be used as a stand alone signal, but rather in conjunction with any possible trend/momentum strategy.
VWAP is identified as the blue line. Green label(blue pill) is your potential entry on a pull back when price is above, stacked EMAS & VWAP for a long position. Red label(red pill) is your potential entry on a pull back when price is below inversely stacked EMAS & VWAP for a short position. These are the 2 ideal scenarios I have found. Please back test for yourself
I have had great results but must emphasis this is not a stand alone buy/sell. I use it in confluence to add conviction to my current A+ setups.
***Pivot ribbon in chart created by Saty Mahajan set to 3/10 time warp works ideal in conjunction.
***please note false positive and false negative signals can occur, particularly in chop
I hope you find this helpful . TRADE SAFE!
Williams %R IntensityOverview
"Williams %R Intensity" is a unique indicator that combines the classic Williams %R with a dynamic intensity-based visualization. This indicator helps traders identify overbought and oversold conditions with enhanced clarity while also predicting potential future crossovers using smoothed slope calculations. It is tailored for traders seeking a more nuanced approach to trend detection and momentum analysis.
Features and How It Works
Core Calculation:
Williams %R : Measures the current closing price relative to the highest high and lowest low over a user-defined length (default: 14).
Exponential Moving Average (EMA) : Smoothens the %R values for better trend tracking (default length: 14).
Overbought/Oversold Zones :
Upper and lower threshold levels are set at -20 (overbought) and -80 (oversold), making it easier to identify extreme conditions.
Intensity Visualization:
The intensity is calculated based on the absolute distance between Williams %R and its EMA.
The closer the value is to extreme levels, the more pronounced the visual intensity, capping at 90% transparency.
Overbought conditions are highlighted in red; oversold conditions in teal.
Crossover Signals:
Bullish Cross: When Williams %R crosses above its EMA in the oversold zone.
Bearish Cross: When Williams %R crosses below its EMA in the overbought zone.
The background color changes (lime for bullish, red for bearish) to highlight these critical moments when enabled via the "Show Cross & Predicted Cross Signal" option.
Future Cross Prediction:
Uses the smoothed slope of %R to estimate future values over a customizable number of steps.
Predicts potential bullish or bearish crosses based on the interaction between the predicted Williams %R and EMA.
Light green and light red background colors indicate predicted bullish and bearish crosses, respectively.
How to Use
Trend Detection: Use the Williams %R and its EMA to identify ongoing trends and confirm their strength.
Overbought/Oversold Analysis: Pay attention to crosses in extreme zones (-20 and -80) for potential reversals.
Intensity-Based Filtering: The intensity visualization helps to focus on the most significant conditions, reducing noise.
Cross Prediction: Enable "Show Cross & Predicted Cross Signal" to anticipate future turning points and plan trades proactively.
Example Applications
Scalping: Monitor rapid crossovers in lower timeframes for quick entries and exits.
Swing Trading: Use the overbought/oversold zones and cross predictions to identify longer-term reversal opportunities.
Risk Management: The intensity visualization can be used to filter out weak signals, ensuring higher-quality trade setups.
Chart Information
For clarity and compliance with publishing standards:
The chart should display the full symbol, timeframe, and the script name ("Williams %R Intensity").
Ensure the indicator is visible and properly configured for the chart.
Xmaster Formula Indicator [TradingFinder] No Repaint Strategies🔵 Introduction
The Xmaster Formula Indicator is a powerful tool for forex trading, combining multiple technical indicators to provide insights into market trends, support and resistance levels, and price reversals. Developed in the early 2010s, it is widely valued for generating reliable buy and sell signals.
Key components include Exponential Moving Averages (EMA) for identifying trends and price momentum, and MACD (Moving Average Convergence Divergence) for analyzing trend strength and direction.
The Stochastic Oscillator and RSI (Relative Strength Index) enhance accuracy by signaling potential price reversals. Additionally, the Parabolic SAR assists in identifying trend reversals and managing risk.
By integrating these tools, the Xmaster Formula Indicator provides a comprehensive view of market conditions, empowering traders to make informed decisions.
🔵 How to Use
The Xmaster Formula Indicator offers two distinct methods for generating signals: Standard Mode and Advance Mode. Each method caters to different trading styles and strategies.
Standard Mode :
In Standard Mode, the indicator uses normalized moving average data to generate buy and sell signals. The difference between the short-term (10-period) and long-term (38-period) EMAs is calculated and normalized to a 0-100 scale.
Buy Signal : When the normalized value crosses above 55, accompanied by the trend line turning green, a buy signal is generated.
Sell Signal : When the normalized value crosses below 45, and the trend line turns red, a sell signal is issued.
This mode is simple, making it ideal for traders looking for straightforward signals without the need for additional confirmations.
Advance Mode :
Advance Mode combines multiple technical indicators to provide more detailed and robust signals.
This method analyzes trends by incorporating :
🟣 MACD
Buy Signal : When the MACD histogram bars are positive.
Sell Signal : When the MACD histogram bars are negative.
🟣 RSI
Buy Signal : When RSI is below 30, indicating oversold conditions.
Sell Signal : When RSI is above 70, suggesting overbought conditions.
🟣 Stochastic Oscillator
Buy Signal : When Stochastic is below 20.
Sell Signal : When Stochastic is above 80.
🟣 Parabolic SAR
Buy Signal : When SAR is below the price.
Sell Signal : When SAR is above the price.
A signal is generated in Advance Mode only when all these indicators align :
Buy Signal : All conditions point to a bullish trend.
Sell Signal : All conditions indicate a bearish trend.
This mode is more comprehensive and suitable for traders who prefer deeper analysis and stronger confirmations before executing trades.
🔵 Settings
Method :
Choose between "Standard" and "Advance" modes to determine how signals are generated. In Standard Mode, signals are based on normalized moving average data, while in Advance Mode, signals rely on the combination of MACD, RSI, Stochastic Oscillator, and Parabolic SAR.
Moving Average Settings :
Short Length : The period for the short-term EMA (default is 10).
Mid Length : The period for the medium-term EMA (default is 20).
Long Length : The period for the long-term EMA (default is 38).
MACD Settings :
Fast Length : The period for the fast EMA in the MACD calculation (default is 12).
Slow Length : The period for the slow EMA in the MACD calculation (default is 26).
Signal Line : The signal line period for MACD (default is 9).
Stochastic Settings :
Length : The period for the Stochastic Oscillator (default is 14).
RSI Settings :
Length : The period for the Relative Strength Index (default is 14).
🔵 Conclusion
The Xmaster Formula Indicator is a versatile and reliable tool for forex traders, offering both simplicity and advanced analysis through its Standard and Advance modes. In Standard Mode, traders benefit from straightforward signals based on normalized moving average data, making it ideal for quick decision-making.
Advance Mode, on the other hand, provides a more detailed analysis by combining multiple indicators like MACD, RSI, Stochastic Oscillator, and Parabolic SAR, delivering stronger confirmations for critical market decisions.
While the Xmaster Formula Indicator offers valuable insights and reliable signals, it is important to use it alongside proper risk management and other analytical methods. By leveraging its capabilities effectively, traders can enhance their trading strategies and achieve better outcomes in the dynamic forex market.
Volume Weighted Moving Average (TechnoBlooms)The Volume Weighted Moving Average Oscillator (VWMO) is a custom technical indicator designed to measure market momentum while accounting for volume. It helps traders assess whether price movements are supported by strong or weak trading volumes. The VWMO provides insights into potential trends by comparing current momentum with historical averages.
Indicator Overview:
The VWMO is based on a combination of price and volume data, highlighting the relationship between these two components to generate a clear oscillation value. The oscillator displays dynamic insights into market strength, capturing price directionality and volume alignment.
Key Features:
1. Dynamic Visualization of Momentum:
o The oscillator displays positive and negative momentum by analyzing the relationship between price movements and trading volume over a specified period.
o Positive momentum typically represents a bullish market, while negative momentum reflects bearish conditions.
2. Volume-Weighted Analysis:
o Volume is incorporated to give an adjusted price perspective, where price movements on high-volume days have more influence on the resulting oscillator values.
3. Trend Confirmation via EMA:
o An Exponential Moving Average (EMA) of the oscillator is plotted to smooth the raw oscillator values and provide trend confirmation.
o The EMA is essential for identifying whether the oscillator is in an upward or downward trend. It also serves as a support for evaluating when momentum might reverse.
4. Visual Indicators and Color Coding:
o The indicator uses varying color intensities to differentiate between strong and weak momentum.
o Bullish and bearish momentum is visually reflected by colors, offering at-a-glance guidance on potential trade opportunities.
5. Overbought and Oversold Thresholds:
o Horizontal lines at predefined levels (e.g., +100 and -100) help to define overbought and oversold areas, which assist in identifying overextended price movements that may signal reversals.
6. Scalability & Adaptability:
o The indicator allows for adjustment of the period, EMA length, and other key parameters to tailor its usage according to different asset classes or timeframe preferences.
[MAD] Self-Optimizing RSIOverview
This script evaluates multiple RSI lengths within a specified range, calculates performance metrics for each, and identifies the top 3 configurations based on a custom scoring system. It then plots the three best RSI curves and optionally displays a summary table and label.
How It Works
The script calculates a custom RSI for each length in the range.
It simulates entering a long position when RSI crosses below the Buy Value and exits when RSI crosses above the Sell Value.
Each trade's return is stored in the relevant StatsContainer.
Metrics Computation
After all bars have been processed,
* Net Profit,
* Sharpe Ratio, and
* Win Rate
are computed for each RSI length.
A weighted score is then derived using the input weights.
Top 3 Identification
The script finds the three RSI lengths with the highest scores.
The RSI lines for these top 3 lengths are plotted in different colors.
If enabled, a table listing the top 3 results (Rank, RSI length, Sharpe, NetPnL, Win Rate) is shown.
If enabled, a label with the highest-scoring RSI length and its score is placed on the final bar.
Usage Tips
Adjust Min RSI Length and Max RSI Length to explore a narrower or wider range of periods.
Be aware, to high settings will slow down the calculation.
Experiment with different RSI Buy Value and RSI Sell Value settings if you prefer more or fewer trade signals.
Confirm that Min Trades Required aligns with the desired confidence level for the computed metrics.
Modify Weight: Sharpe, Weight: NetProfit, and Weight: WinRate to reflect which metrics are most important.
Troubleshooting
If metrics remain - or NaN, confirm enough trades (Min Trades Required) have occurred.
If no top 3 lines appear, it could mean no valid trades were taken in the specified range, or the script lacks sufficient bars to calculate RSI for some lengths. In this case set better buyvalue and sellvalues in the inputs
Disclaimer
Past performance is not indicative of future results specialy as this indicator can repaint based on max candles in memory which are limited by your subscription
Dynamic RSI Table (Periods & Timeframe)Introduction
Relative Strength Index (RSI) is one of the most widely used indicators in technical analysis, offering traders insights into market momentum and potential overbought or oversold conditions. While RSI is commonly applied as a single line on a chart, analyzing multiple RSI periods simultaneously can provide deeper insights. In this article, we'll explore how to create and use dynamic RSI tables in TradingView, allowing traders to monitor multiple timeframes and periods in one organized view.
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What Is RSI?
RSI is an oscillator that measures the speed and change of price movements over a specific period, providing values between 0 and 100. The standard interpretation includes:
Overbought Zone (>70): Indicates that the asset might be overvalued and due for a correction or reversal.
Oversold Zone (<30): Suggests that the asset could be undervalued and may rebound upward.
However, relying on a single RSI period or timeframe might not capture the full picture. This is where RSI tables come into play.
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Why Use RSI Tables?
Using an RSI table in TradingView enables traders to:
1. Track Multiple Periods: Monitor RSI values for short, medium, and long-term periods simultaneously.
2. Analyze Different Timeframes: Evaluate RSI data across multiple timeframes (e.g., 1-hour, 4-hour, daily).
3. Simplify Decision-Making: Visualize overbought and oversold conditions in a clean, color-coded table.
4. Receive Alerts: Automate notifications for extreme conditions across all selected periods.
Uptrick: Fisher Eclipse1. Name and Purpose
Uptrick: Fisher Eclipse is a Pine version 6 extension of the basic Fisher Transform indicator that focuses on highlighting potential turning points in price data. Its purpose is to allow traders to spot shifts in momentum, detect divergence, and adapt signals to different market environments. By combining a core Fisher Transform with additional signal processing, divergence detection, and customizable aggressiveness settings, this script aims to help users see when a price move might be losing momentum or gaining strength.
2. Overview
This script uses a Fisher Transform calculation on the average of each bar’s high and low (hl2). The Fisher Transform is designed to amplify price extremes by mapping data into a different scale, making potential reversals more visible than they might be with standard oscillators. Uptrick: Fisher Eclipse takes this concept further by integrating a signal line, divergence detection, bar coloring for momentum intensity, and optional thresholds to reduce unwanted noise.
3. Why Use the Fisher Transform
The Fisher Transform is known for converting relatively smoothed price data into a more pronounced scale. This transformation highlights where markets may be overextended. In many cases, standard oscillators move gently, and traders can miss subtle hints that a reversal might be approaching. The Fisher Transform’s mathematical approach tightens the range of values and sharpens the highs and lows. This behavior can allow traders to see clearer peaks and troughs in momentum. Because it is often quite responsive, it can help anticipate areas where price might change direction, especially when compared to simpler moving averages or traditional oscillators. The result is a more evident signal of possible overbought or oversold conditions.
4. How This Extension Improves on the Basic Fisher Transform
Uptrick: Fisher Eclipse adds multiple features to the classic Fisher framework in order to address different trading styles and market behaviors:
a) Divergence Detection
The script can detect bullish or bearish divergences between price and the oscillator over a chosen lookback period, helping traders anticipate shifts in market direction.
b) Bar Coloring
When momentum exceeds a certain threshold (default 3), bars can be colored to highlight surges of buying or selling pressure. This quick visual reference can assist in spotting periods of heightened activity. After a bar color like this, usually, there is a quick correction as seen in the image below.
c) Signal Aggressiveness Levels
Users can choose between conservative, moderate, or aggressive signal thresholds. This allows them to tune how quickly the indicator flags potential entries or exits. Aggressive settings might suit scalpers who need rapid signals, while conservative settings may benefit swing traders preferring fewer, more robust indications.
d) Minimum Movement Filter
A configurable filter can be set to ensure that the Fisher line and its signal have a sufficient gap before triggering a buy or sell signal. This step is useful for traders seeking to minimize signals during choppy or sideways markets. This can be used to eliminate noise as well.
By combining all these elements into one package, the indicator attempts to offer a comprehensive toolkit for those who appreciate the Fisher Transform’s clarity but also desire more versatility.
5. Core Components
a) Fisher Transform
The script calculates a Fisher value using normalized price over a configurable length, highlighting potential peaks and troughs.
b) Signal Line
The Fisher line is smoothed using a short Simple Moving Average. Crossovers and crossunders are one of the key ways this indicator attempts to confirm momentum shifts.
c) Divergence Logic
The script looks back over a set number of bars to compare current highs and lows of both price and the Fisher oscillator. When price and the oscillator move in opposing directions, a divergence may occur, suggesting a possible upcoming reversal or weakening trend.
d) Thresholds for Overbought and Oversold
Horizontal lines are drawn at user-chosen overbought and oversold levels. These lines help traders see when momentum readings reach particular extremes, which can be especially relevant when combined with crossovers in that region.
e) Intensity Filter and Bar Coloring
If the magnitude of the change in the Fisher Transform meets or exceeds a specified threshold, bars are recolored. This provides a visual cue for significant momentum changes.
6. User Inputs
a) length
Defines how many bars the script looks back to compute the highest high and lowest low for the Fisher Transform. A smaller length reacts more quickly but can be noisier, while a larger length smooths out the indicator at the cost of responsiveness.
b) signal aggressiveness
Adjusts the buy and sell thresholds for conservative, moderate, and aggressive trading styles. This can be key in matching the indicator to personal risk preferences or varying market conditions. Conservative will give you less signals and aggressive will give you more signals.
c) minimum movement filter
Specifies how far apart the Fisher line and its signal line must be before generating a valid crossover signal.
d) divergence lookback
Controls how many bars are examined when determining if price and the oscillator are diverging. A larger setting might generate fewer signals, while a smaller one can provide more frequent alerts.
e) intensity threshold
Determines how large a change in the Fisher value must be for the indicator to recolor bars. Strong momentum surges become more noticeable.
f) overbought level and oversold level
Lets users define where they consider market conditions to be stretched on the upside or downside.
7. Calculation Process
a) Price Input
The script uses the midpoint of each bar’s high and low, sometimes referred to as hl2.
hl2 = (high + low) / 2
b) Range Normalization
Determine the maximum (maxHigh) and minimum (minLow) values over a user-defined lookback period (length).
Scale the hl2 value so it roughly fits between -1 and +1:
value = 2 * ((hl2 - minLow) / (maxHigh - minLow) - 0.5)
This step highlights the bar’s current position relative to its recent highs and lows.
c) Fisher Calculation
Convert the normalized value into the Fisher Transform:
fisher = 0.5 * ln( (1 + value) / (1 - value) ) + 0.5 * fisher_previous
fisher_previous is simply the Fisher value from the previous bar. Averaging half of the new transform with half of the old value smooths the result slightly and can prevent erratic jumps.
ln is the natural logarithm function, which compresses or expands values so that market turns often become more obvious.
d) Signal Smoothing
Once the Fisher value is computed, a short Simple Moving Average (SMA) is applied to produce a signal line. In code form, this often looks like:
signal = sma(fisher, 3)
Crossovers of the fisher line versus the signal line can be used to hint at changes in momentum:
• A crossover occurs when fisher moves from below to above the signal.
• A crossunder occurs when fisher moves from above to below the signal.
e) Threshold Checking
Users typically define oversold and overbought levels (often -1 and +1).
Depending on aggressiveness settings (conservative, moderate, aggressive), these thresholds are slightly shifted to filter out or include more signals.
For example, an oversold threshold of -1 might be used in a moderate setting, whereas -1.5 could be used in a conservative setting to require a deeper dip before triggering.
f) Divergence Checks
The script looks back a specified number of bars (divergenceLookback). For both price and the fisher line, it identifies:
• priceHigh = the highest hl2 within the lookback
• priceLow = the lowest hl2 within the lookback
• fisherHigh = the highest fisher value within the lookback
• fisherLow = the lowest fisher value within the lookback
If price forms a lower low while fisher forms a higher low, it can signal a bullish divergence. Conversely, if price forms a higher high while fisher forms a lower high, a bearish divergence might be indicated.
g) Bar Coloring
The script monitors the absolute change in Fisher values from one bar to the next (sometimes called fisherChange):
fisherChange = abs(fisher - fisher )
If fisherChange exceeds a user-defined intensityThreshold, bars are recolored to highlight a surge of momentum. Aqua might indicate a strong bullish surge, while purple might indicate a strong bearish surge.
This color-coding provides a quick visual cue for traders looking to spot large momentum swings without constantly monitoring indicator values.
8. Signal Generation and Filtering
Buy and sell signals occur when the Fisher line crosses the signal line in regions defined as oversold or overbought. The optional minimum movement filter prevents triggering if Fisher and its signal line are too close, reducing the chance of small, inconsequential price fluctuations creating frequent signals. Divergences that appear in oversold or overbought regions can serve as additional evidence that momentum might soon shift.
9. Visualization on the Chart
Uptrick: Fisher Eclipse plots two lines: the Fisher line in one color and the signal line in a contrasting shade. The chart displays horizontal dashed lines where the overbought and oversold levels lie. When the Fisher Transform experiences a sharp jump or drop above the intensity threshold, the corresponding price bars may change color, signaling that momentum has undergone a noticeable shift. If the indicator detects bullish or bearish divergence, dotted lines are drawn on the oscillator portion to connect the relevant points.
10. Market Adaptability
Because of the different aggressiveness levels and the optional minimum movement filter, Uptrick: Fisher Eclipse can be tailored to multiple trading styles. For instance, a short-term scalper might select a smaller length and more aggressive thresholds, while a swing trader might choose a longer length for smoother readings, along with conservative thresholds to ensure fewer but potentially stronger signals. During strongly trending markets, users might rely more on divergences or large intensity changes, whereas in a range-bound market, oversold or overbought conditions may be more frequent.
11. Risk Management Considerations
Indicators alone do not ensure favorable outcomes, and relying solely on any one signal can be risky. Using a stop-loss or other protections is often suggested, especially in fast-moving or unpredictable markets. Divergence can appear before a market reversal actually starts. Similarly, a Fisher Transform can remain in an overbought or oversold region for extended periods, especially if the trend is strong. Cautious interpretation and confirmation with additional methods or chart analysis can help refine entry and exit decisions.
12. Combining with Other Tools
Traders can potentially strengthen signals from Uptrick: Fisher Eclipse by checking them against other methods. If a moving average cross or a price pattern aligns with a Fisher crossover, the combined evidence might provide more certainty. Volume analysis may confirm whether a shift in market direction has participation from a broad set of traders. Support and resistance zones could reinforce overbought or oversold signals, particularly if price reaches a historical boundary at the same time the oscillator indicates a possible reversal.
13. Parameter Customization and Examples
Some short-term traders run a 15-minute chart, with a shorter length setting, aggressively tight oversold and overbought thresholds, and a smaller divergence lookback. This approach produces more frequent signals, which may appeal to those who enjoy fast-paced trading. More conservative traders might apply the indicator to a daily chart, using a larger length, moderate threshold levels, and a bigger divergence lookback to focus on broader market swings. Results can differ, so it may be helpful to conduct thorough historical testing to see which combination of parameters aligns best with specific goals.
14. Realistic Expectations
While the Fisher Transform can reveal potential turning points, no mathematical tool can predict future price behavior with full certainty. Markets can behave erratically, and a period of strong trending may see the oscillator pinned in an extreme zone without a significant reversal. Divergence signals sometimes appear well before an actual trend change occurs. Recognizing these limitations helps traders manage risk and avoids overreliance on any one aspect of the script’s output.
15. Theoretical Background
The Fisher Transform uses a logarithmic formula to map a normalized input, typically ranging between -1 and +1, into a scale that can fluctuate around values like -3 to +3. Because the transformation exaggerates higher and lower readings, it becomes easier to spot when the market might have stretched too far, too fast. Uptrick: Fisher Eclipse builds on that foundation by adding a series of practical tools that help confirm or refine those signals.
16. Originality and Uniqueness
Uptrick: Fisher Eclipse is not simply a duplicate of the basic Fisher Transform. It enhances the original design in several ways, including built-in divergence detection, bar-color triggers for momentum surges, thresholds for overbought and oversold levels, and customizable signal aggressiveness. By unifying these concepts, the script seeks to reduce noise and highlight meaningful shifts in market direction. It also places greater emphasis on helping traders adapt the indicator to their specific style—whether that involves frequent intraday signals or fewer, more robust alerts over longer timeframes.
17. Summary
Uptrick: Fisher Eclipse is an expanded take on the original Fisher Transform oscillator, including divergence detection, bar coloring based on momentum strength, and flexible signal thresholds. By adjusting parameters like length, aggressiveness, and intensity thresholds, traders can configure the script for day-trading, swing trading, or position trading. The indicator endeavors to highlight where price might be shifting direction, but it should still be combined with robust risk management and other analytical methods. Doing so can lead to a more comprehensive view of market conditions.
18. Disclaimer
No indicator or script can guarantee profitable outcomes in trading. Past performance does not necessarily suggest future results. Uptrick: Fisher Eclipse is provided for educational and informational purposes. Users should apply their own judgment and may want to confirm signals with other tools and methods. Deciding to open or close a position remains a personal choice based on each individual’s circumstances and risk tolerance.
majikal78
Custom Volume Ratio Indicator
The Custom Volume Ratio Indicator is a unique tool designed for traders to analyze price movements in relation to trading volume. This indicator calculates the ratio of the price range (the difference between the highest and lowest prices of a candle) to the volume of that candle. By visualizing this ratio, traders can gain insights into market dynamics and potential price movements.
Key Features:
1. Price Range Calculation: The indicator computes the price range for each candle by subtracting the lowest price from the highest price. This gives traders an understanding of how much price fluctuated during that specific time frame.
2. Volume Measurement: It utilizes the trading volume of each candle, which reflects the number of shares or contracts traded during that period. Volume is a critical factor in confirming trends and reversals in the market.
3. Ratio Visualization: The primary output of the indicator is the ratio of price range to volume. A higher ratio may indicate increased volatility relative to volume, suggesting potential trading opportunities. Conversely, a lower ratio could imply a more stable market environment.
4. Color-Coded Bars: The bars representing the ratio are color-coded based on the candle's closing price relative to its opening price. Green bars indicate bullish candles (where the close is higher than the open), while red bars indicate bearish candles (where the close is lower than the open). This visual cue helps traders quickly assess market sentiment.
5. Background Highlighting: The indicator also features a subtle background color to enhance visibility, making it easier for traders to focus on key areas of interest on the chart.
Use Cases:
• Trend Confirmation: Traders can use the volume ratio to confirm existing trends. A rising ratio alongside increasing volume may suggest a strong bullish trend, while a declining ratio could indicate weakening momentum.
• Volatility Assessment: By analyzing the price range relative to volume, traders can identify periods of high volatility. This information can be crucial for setting stop-loss orders or determining entry points.
• Market Sentiment Analysis: The color-coded bars provide immediate insight into market sentiment, allowing traders to make informed decisions based on recent price action.
Overall, the Custom Volume Ratio Indicator serves as a valuable addition to any trader's toolkit, providing essential insights into market behavior and helping to inform trading strategies.
PGO For Loop | mad_tiger_slayerPGO For Loop Indicator
The PGO For Loop indicator, inspired by Alex Orekhov's "Pretty Good Oscillator," and indicator originally made by Mark Johnson, the PGO designed as a fast and responsive tool to capture quick price movements in financial markets. This oscillator leverages a combination of moving averages and Average True Range (ATR) to measure price deviations, providing a concise yet powerful framework for identifying potential trade entry and exit points. What makes this
"enhanced" PGO indicator special is its ability to identify trending periods more accurately. By using thresholds, this allows the script to enter accurate long and short conditions extremely quickly.
Intended Uses:
Used to capture long-term trends:
Used to identify quick reversals:
Used on higher timeframes above 8hrs for more accurate signals
Used in strategies to enter and exit trades quickly
Can be used for Scalping
NOT Intended Uses:
Not to be used as Mean Reversion
Not to be used as valuation (Overbought or Oversold)
Key Features:
Quick Detection of Market Movements:
The indicator's primary focus is on speed, making it suitable for medium-term traders looking to capitalize on rapid price changes. It is particularly effective in trending or volatile markets.
Customizable Thresholds:
Users can set upper and lower thresholds to define long and short conditions, offering flexibility to adapt the indicator to different trading styles and asset classes.
Noisy but Purposeful:
While the PGO For Loop may generate frequent signals, it is specifically tuned for traders aiming to enter and exit trades quickly, embracing the noise as part of its effectiveness in capturing rapid market dynamics.
Integrated Visuals:
The script plots key levels and provides dynamic visual feedback through colored candles and shapes, enabling intuitive and quick decision-making.
How It Works:
Oscillator Calculation:
The PGO value is derived by comparing the source price's deviation from its moving average to the ATR. This highlights price movements relative to recent volatility.
Signal Identification:
When the oscillator exceeds the upper threshold, it signals potential long opportunities UNTIL the PGO reaches the lower threshold.
When the oscillator drops below the lower threshold, it signals potential short opportunities UNTIL the oscillator reaches above the upper threshold.
No signals occur when the oscillator lies between these thresholds.
Visual Cues:
Color-coded candles indicate market bias (green for long, red for short, gray for neutral).
Upward and downward triangles highlight changes in signal direction.
Note:
This indicator is intentionally "noisy," as it prioritizes capturing fast movements over filtering out minor fluctuations. Users should pair it with other tools or techniques to confirm signals and manage risk effectively.
NVOL Normalized Volume & VolatilityOVERVIEW
Plots a normalized volume (or volatility) relative to a given bar's typical value across all charted sessions. The concept is similar to Relative Volume (RVOL) and Average True Range (ATR), but rather than using a moving average, this script uses bar data from previous sessions to more accurately separate what's normal from what's anomalous. Compatible on all timeframes and symbols.
Having volume and volatility processed within a single indicator not only allows you to toggle between the two for a consistent data display, it also allows you to measure how correlated they are. These measurements are available in the data table.
DATA & MATH
The core formula used to normalize each bar is:
( Value / Basis ) × Scale
Value
The current bar's volume or volatility (see INPUTS section). When set to volume, it's exactly what you would expect (the volume of the bar). When set to volatility, it's the bar's range (high - low).
Basis
A statistical threshold (Mean, Median, or Q3) plus a Sigma multiple (standard deviations). The default is set to the Mean + Sigma × 3 , which represents 99.7% of data in a normal distribution. The values are derived from the current bar's equivalent in other sessions. For example, if the current bar time is 9:30 AM, all previous 9:30 AM bars would be used to get the Mean and Sigma. Thus Mean + Sigma × 3 would represent the Normal Bar Vol at 9:30 AM.
Scale
Depends on the Normalize setting, where it is 1 when set to Ratio, and 100 when set to Percent. This simply determines the plot's scale (ie. 0 to 1 vs. 0 to 100).
INPUTS
While the default configuration is recommended for a majority of use cases (see BEST PRACTICES), settings should be adjusted so most of the Normalized Plot and Linear Regression are below the Signal Zone. Only the most extreme values should exceed this area.
Normalize
Allows you to specify what should be normalized (Volume or Volatility) and how it should be measured (as a Ratio or Percentage). This sets the value and scale in the core formula.
Basis
Specifies the statistical threshold (Mean, Median, or Q3) and how many standard deviations should be added to it (Sigma). This is the basis in the core formula.
Mean is the sum of values divided by the quantity of values. It's what most people think of when they say "average."
Median is the middle value, where 50% of the data will be lower and 50% will be higher.
Q3 is short for Third Quartile, where 75% of the data will be lower and 25% will be higher (think three quarters).
Sample
Determines the maximum sample size.
All Charted Bars is the default and recommended option, and ignores the adjacent lookback number.
Lookback is not recommended, but it is available for comparisons. It uses the adjacent lookback number and is likely to produce unreliable results outside a very specific context that is not suitable for most traders. Normalization is not a moving average. Unless you have a good reason to limit the sample size, do not use this option and instead use All Charted Bars .
Show Vol. name on plot
Overlays "VOLUME" or "VOLATILITY" on the plot (whichever you've selected).
Lin. Reg.
Polynomial regressions are great for capturing non-linear patterns in data. TradingView offers a "linear regression curve", which this script uses as a substitute. If you're unfamiliar with either term, think of this like a better moving average.
You're able to specify the color, length, and multiple (how much to amplify the value). The linear regression derives its value from the normalized values.
Norm. Val.
This is the color of the normalized value of the current bar (see DATA & MATH section). You're able to specify the default, within signal, and beyond signal colors. As well as the plot style.
Fade in colors between zero and the signal
Programmatically adjust the opacity of the primary plot color based on it's normalized value. When enabled, values equal to 0 will be fully transparent, become more opaque as they move away from 0, and be fully opaque at the signal. Adjusting opacity in this way helps make difference more obvious.
Plot relative to bar direction
If enabled, the normalized value will be multiplied by -1 when a bar's open is greater than the bar's close, mirroring price direction.
Technically volume and volatility are directionless. Meaning there's really no such thing as buy volume, sell volume, positive volatility, or negative volatility. There is just volume (1 buy = 1 sell = 1 volume) and volatility (high - low). Even so, visually reflecting the net effect of pricing pressure can still be useful. That's all this setting does.
Sig. Zone
Signal zones make identifying extremes easier. They do not signal if you should buy or sell, only that the current measurement is beyond what's normal. You are able to adjust the color and bounds of the zone.
Int. Levels
Interim levels can be useful when you want to visually bracket values into high / medium / low. These levels can have a value anywhere between 0 and 1. They will automatically be multiplied by 100 when the scale is set to Percent.
Zero Line
This setting allows you to specify the visibility of the zero line to best suit your trading style.
Volume & Volatility Stats
Displays a table of core values for both volume and volatility. Specifically the actual value, threshold (mean, median, or Q3), sigma (standard deviation), basis, normalized value, and linear regression.
Correlation Stats
Displays a table of correlation statistics for the current bar, as well as the data set average. Specifically the coefficient, R2, and P-Value.
Indices & Sample Size
Displays a table of mixed data. Specifically the current bar's index within the session, the current bar's index within the sample, and the sample size used to normalize the current bar's value.
BEST PRACTICES
NVOL can tell you what's normal for 9:30 AM. RVOL and ATR can only tell you if the current value is higher or lower than a moving average.
In a normal distribution (bell curve) 99.7% of data occurs within 3 standard deviations of the mean. This is why the default basis is set to "Mean, 3"; it includes the typical day-to-day fluctuations, better contextualizing what's actually normal, minimizing false positives.
This means a ratio value greater than 1 only occurs 0.3% of the time. A series of these values warrants your attention. Which is why the default signal zone is between 1 and 2. Ratios beyond 2 would be considered extreme with the default settings.
Inversely, ratio values less than 1 (the normal daily fluctuations) also tell a story. We should expect most values to occur around the middle 3rd, which is why interim levels default to 0.33 and 0.66, visually simplifying a given move's participation. These can be set to whatever you like and only serve as visual aids for your specific trading style.
It's worth noting that the linear regression oscillates when plotted directionally, which can help clarify short term move exhaustion and continuation. Akin to a relative strength index (RSI), it may be used to inform a trading decision, but it should not be the only factor.
Trend Reversal Probability [Algoalpha]Introducing Trend Reversal Probability by AlgoAlpha – a powerful indicator that estimates the likelihood of trend reversals based on an advanced custom oscillator and duration-based statistics. Designed for traders who want to stay ahead of potential market shifts, this indicator provides actionable insights into trend momentum and reversal probabilities.
Key Features :
🔧 Custom Oscillator Calculation: Combines a dual SMA strategy with a proprietary RSI-like calculation to detect market direction and strength.
📊 Probability Levels & Visualization: Plots average signal durations and their statistical deviations (±1, ±2, ±3 SD) on the chart for clear visual guidance.
🎨 Dynamic Color Customization: Choose your preferred colors for upward and downward trends, ensuring a personalized chart view.
📈 Signal Duration Metrics: Tracks and displays signal durations with columns representing key percentages (80%, 60%, 40%, and 20%).
🔔 Alerts for High Probability Events: Set alerts for significant reversal probabilities (above 84% and 98% or below 14%) to capture key trading moments.
How to Use :
Add the Indicator: Add Trend Reversal Probability to your favorites by clicking the star icon.
Market Analysis: Use the plotted probability levels (average duration and ±SD bands) to identify overextended trends and potential reversals. Use the color of the duration counter to identify the current trend.
Leverage Alerts: Enable alerts to stay informed of high or extreme reversal probabilities without constant chart monitoring.
How It Works :
The indicator begins by calculating a custom oscillator using short and long simple moving averages (SMA) of the midpoint price. A proprietary RSI-like formula then transforms these values to estimate trend direction and momentum. The duration between trend reversals is tracked and averaged, with standard deviations plotted to provide probabilistic guidance on trend longevity. Additionally, the indicator incorporates a cumulative probability function to estimate the likelihood of a trend reversal, displaying the result in a data table for easy reference. When probability levels cross key thresholds, alerts are triggered, helping traders take timely action.
BS | Buy&Sell Signals With EMAKey Features:
EMA Intersections: Generates clear buy and sell signals based on predefined EMA crossings.
5 EMA Lines: Visualize market trends with five distinct EMA lines plotted on the chart.
Support and Resistance Levels: Easily identify crucial support and resistance levels with our integrated marker.
Comprehensive Indicator Panel: At the bottom of the chart, track Stochastic, RSI, Supertrend, and SMA across multiple timeframes (1m, 5m, 15m, 1H, 4H, Daily, Weekly).
Fully Customizable: Almost every indicator within the tool is adjustable to suit your preferences and trading style.
Alarm Feature: Set up alarms to stay informed of important market movements.
Unlock the full potential of your trading strategy with BS | Buy&Sell Signals With EMA. Customize, analyze, and trade with confidence.
created by @bahadirsezer
Normalized Price ComparisonNormalized Price Comparison Indicator Description
The "Normalized Price Comparison" indicator is designed to provide traders with a visual tool for comparing the price movements of up to three different financial instruments on a common scale, despite their potentially different price ranges. Here's how it works:
Features:
Normalization: This indicator normalizes the closing prices of each symbol to a scale between 0 and 1 over a user-defined period. This normalization process allows for the comparison of price trends regardless of the absolute price levels, making it easier to spot relative movements and trends.
Crossing Alert: It features an alert functionality that triggers when the normalized price lines of the first two symbols (Symbol 1 and Symbol 2) cross each other. This can be particularly useful for identifying potential trading opportunities when one asset's relative performance changes against another.
Customization: Users can input up to three symbols for analysis. The normalization period can be adjusted, allowing flexibility in how historical data is considered for the scaling process. This period determines how many past bars are used to calculate the minimum and maximum prices for normalization.
Visual Representation: The indicator plots these normalized prices in a separate pane below the main chart. Each symbol's normalized price is represented by a distinct colored line:
Symbol 1: Blue line
Symbol 2: Red line
Symbol 3: Green line
Use Cases:
Relative Performance Analysis: Ideal for investors or traders who want to compare how different assets are performing relative to each other over time, without the distraction of absolute price differences.
Divergence Detection: Useful for spotting divergences where one asset might be outperforming or underperforming compared to others, potentially signaling changes in market trends or investment opportunities.
Crossing Strategy: The alert for when Symbol 1 and Symbol 2's normalized lines cross can be used as a part of a trading strategy, signaling potential entry or exit points based on relative price movements.
Limitations:
Static Alert Messages: Due to Pine Script's constraints, the alert messages cannot dynamically include the names of the symbols being compared. The alert will always mention "Symbol 1" and "Symbol 2" crossing.
Performance: Depending on the timeframe and the number of symbols, performance might be affected, especially on lower timeframes with high data frequency.
This indicator is particularly beneficial for those interested in multi-asset analysis, offering a streamlined way to observe and react to relative price movements in a visually coherent manner. It's a powerful tool for enhancing your trading or investment analysis by focusing on trends and relationships rather than raw price data.
Absolute Strength Index [ASI] (Zeiierman)█ Overview
The Absolute Strength Index (ASI) is a next-generation oscillator designed to measure the strength and direction of price movements by leveraging percentile-based normalization of historical returns. Developed by Zeiierman, this indicator offers a highly visual and intuitive approach to identifying market conditions, trend strength, and divergence opportunities.
By dynamically scaling price returns into a bounded oscillator (-10 to +10), the ASI helps traders spot overbought/oversold conditions, trend reversals, and momentum changes with enhanced precision. It also incorporates advanced features like divergence detection and adaptive signal smoothing for versatile trading applications.
█ How It Works
The ASI's core calculation methodology revolves around analyzing historical price returns, classifying them into top and bottom percentiles, and normalizing the current price movement within this framework. Here's a breakdown of its key components:
⚪ Returns Lookback
The ASI evaluates historical price returns over a user-defined period (Returns Lookback) to measure recent price behavior. This lookback window determines the sensitivity of the oscillator:
Shorter Lookback: Higher responsiveness to recent price movements, suitable for scalping or high-volatility assets.
Longer Lookback: Smoother oscillator behavior is ideal for identifying larger trends and avoiding false signals.
⚪ Percentile-Based Thresholds
The ASI categorizes returns into two groups:
Top Percentile (Winners): The upper X% of returns, representing the strongest upward price moves.
Bottom Percentile (Losers): The lower X% of returns, capturing the sharpest downward movements.
This percentile-based normalization ensures the ASI adapts to market conditions, filtering noise and emphasizing significant price changes.
⚪ Oscillator Normalization
The ASI normalizes current returns relative to the top and bottom thresholds:
Values range from -10 to +10, where:
+10 represents extreme bullish strength (above the top percentile threshold).
-10 indicates extreme bearish weakness (below the bottom percentile threshold).
⚪ Signal Line Smoothing
A signal line is optionally applied to the ASI using a variety of moving averages:
Options: SMA, EMA, WMA, RMA, or HMA.
Effect: Smooths the ASI to filter out noise, with shorter lengths offering higher responsiveness and longer lengths providing stability.
⚪ Divergence Detection
One of ASI's standout features is its ability to detect and highlight bullish and bearish divergences:
Bullish Divergence: The ASI forms higher lows while the price forms lower lows, signaling potential upward reversals.
Bearish Divergence: The ASI forms lower highs while the price forms higher highs, indicating potential downward reversals.
█ Key Differences from RSI
Dynamic Adaptability: ASI adjusts to market conditions through percentile-based scaling, while RSI uses static thresholds.
█ How to Use ASI
⚪ Trend Identification
Bullish Strength: ASI above zero suggests upward momentum, suitable for trend-following trades.
Bearish Weakness: ASI below zero signals downward momentum, ideal for short trades or exits from long positions.
⚪ Overbought/Oversold Levels
Overbought Zone: ASI in the +8 to +10 range indicates potential exhaustion of bullish momentum.
Oversold Zone: ASI in the -8 to -10 range points to potential reversal opportunities.
⚪ Divergence Signals
Look for bullish or bearish divergence labels to anticipate trend reversals before they occur.
⚪ Signal Line Crossovers
A crossover between the ASI and its signal line (e.g., EMA or SMA) can indicate a shift in momentum:
Bullish Crossover: ASI crosses above the signal line, signaling potential upside.
Bearish Crossover: ASI crosses below the signal line, suggesting downside momentum.
█ Settings Explained
⚪ Absolute Strength Index
Returns Lookback: Sets the sensitivity of the oscillator. Shorter periods detect short-term changes, while longer periods focus on broader trends.
Top/Bottom Percentiles: Adjust thresholds for defining winners and losers. Narrower percentiles increase sensitivity to outliers.
Signal Line Type: Choose from SMA, EMA, WMA, RMA, or HMA for smoothing.
Signal Line Length: Fine-tune the responsiveness of the signal line.
⚪ Divergence
Divergence Lookback: Adjusts the period for detecting divergence. Use longer lookbacks to reduce noise.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Normalized Jurik Moving Average [QuantAlgo]Upgrade your investing and trading strategy with the Normalized Jurik Moving Average (JMA) , a sophisticated oscillator that combines adaptive smoothing with statistical normalization to deliver high-quality signals! Whether you're a swing trader looking for momentum shifts or a medium- to long-term investor focusing on trend validation, this indicator's statistical approach offers valuable analytical advantages that can enhance your trading and investing decisions!
🟢 Core Architecture
The foundation of this indicator lies in its unique dual-layer calculation system. The first layer implements the Jurik Moving Average, known for its superior noise reduction and responsiveness, while the second layer applies statistical normalization (Z-Score) to create standardized readings. This sophisticated approach helps identify significant price movements while filtering out market noise across various timeframes and instruments.
🟢 Technical Foundation
Three key components power this indicator are:
Jurik Moving Average (JMA): An advanced moving average calculation that provides superior smoothing with minimal lag
Statistical Normalization: Z-Score based scaling that creates consistent, comparable readings across different market conditions
Dynamic Zone Detection: Automatically identifies overbought and oversold conditions based on statistical deviations
🟢 Key Features & Signals
The Normalized JMA delivers market insights through:
Color-adaptive oscillator line that reflects momentum strength and direction
Statistically significant overbought/oversold zones for trade validation
Smart gradient fills between signal line and zero level for enhanced visualization
Clear long (L) and short (S) markers for validated momentum shifts
Intelligent bar coloring that highlights the current market state
Customizable alert system for both bullish and bearish setups
🟢 Practical Usage Tips
Here's how to maximize your use of the Normalized JMA:
1/ Setup:
Add the indicator to your favorites, then apply it to your chart ⭐️
Begin with the default smoothing period for balanced analysis
Use the default normalization period for optimal signal generation
Start with standard visualization settings
Customize colors to match your chart preferences
Enable both bar coloring and signal markers for complete visual feedback
2/ Reading Signals:
Watch for L/S markers - they indicate validated momentum shifts
Monitor oscillator line color changes for direction confirmation
Use the built-in alert system to stay informed of potential trend changes
🟢 Pro Tips
Adjust Smoothing Period based on your trading style:
→ Lower values (8-12) for more responsive signals
→ Higher values (20-30) for more stable trend identification
Fine-tune Normalization Period based on market conditions:
→ Shorter periods (20-25) for more dynamic markets
→ Longer periods (40-50) for more stable markets
Optimize your analysis by:
→ Using +2/-2 zones for primary trade signals
→ Using +3/-3 zones for extreme market conditions
→ Combining with volume analysis for trade confirmation
→ Using multiple timeframe analysis for strategic context
Combine with:
→ Volume indicators for trade validation
→ Price action for entry timing
→ Support/resistance levels for profit targets
→ Trend-following indicators for directional bias
Median MACD - MattesThe Median Based MACD is a new-generation indicator created from old statistical Concepts. It combines a Median Calculation with a MACD to create a smoother signal with less noise and increased robustness.
In this case, the original calculation source of the MACD is replaced with a Median which can be calculated over user set X time.
- Why its good:
This "Phoenix" of sorts brings old concepts together to create a strong, new indicator which can frontrun & see trends from miles up front.
- How it can be used:
While this indicator can be used to follow trends, it can also be used to detect where a trend has weakened and is unlikely to continue. Please keep in mind that its unlikely but the chance is never 0.
In my personal opinion, i think that this indicator should NOT be used as a standalone indicator but rather as a compliment to analysis.
Enjoy!
