Pappabborgia Nasdaq RSI This script provides a custom Relative Strength Index (RSI) indicator that plots both the RSI of the selected stock and the Nasdaq (IXIC) on the same chart.
It offers a clear, side-by-side view to help traders better understand the stock's momentum relative to the overall market.
Key Features:
RSI Calculation for the Stock:
The script calculates the RSI for the chosen stock, with a default period of 14, adjustable to fit different timeframes.
The stock’s RSI is displayed in green 🟢, providing a direct view of its strength and momentum 📈.
RSI of the Nasdaq:
The script fetches the Nasdaq’s closing prices and calculates its RSI, which is shown in red for clear comparison 🔴.
Legend for Clarity:
A simple legend in the top-right corner identifies the green line as the stock’s RSI and the red line as the Nasdaq’s RSI, making it easy to interpret 📊.
Why Comparing the Stock's RSI to the Nasdaq Matters:
Broader Market Context:
Viewing both RSIs on the same chart helps you see whether the stock is moving in sync with the broader market or behaving independently. This provides valuable context for decision-making 📉.
Relative Strength Insights:
Comparing the stock’s RSI to the Nasdaq’s RSI highlights whether the stock is outperforming or underperforming the overall market, helping identify potential opportunities or risks 🟢🔴.
Improved Risk Management:
Monitoring overbought or oversold conditions in both the stock and Nasdaq RSIs can signal broader market trends and help avoid risky trades ⚠️.
Overall Benefit:
By tracking the RSI of both the stock and the Nasdaq, this script offers a powerful tool for understanding a stock's relative strength, providing essential context for smarter trading decisions 🎯.
Osciladores
TASC 2024.11 Ultimate Strength Index█ OVERVIEW
This script implements the Ultimate Strength Index (USI) indicator, introduced by John Ehlers in his article titled "Ultimate Strength Index (USI)" from the November 2024 edition of TASC's Traders' Tips . The USI is a modified version of Wilder's original Relative Strength Index (RSI) that incorporates Ehlers' UltimateSmoother lowpass filter to produce an output with significantly reduced lag.
█ CONCEPTS
Many technical indicators, including the RSI, lag due to their heavy reliance on historical data. John Ehlers reformulated the RSI to substantially reduce lag by applying his UltimateSmoother filter to upward movements ( strength up - SU ) and downward movements ( strength down - SD ) in the time series, replacing the standard process of smoothing changes with rolling moving averages (RMAs). Ehlers' recent works, covered in our recent script publications, have shown that the UltimateSmoother is an effective alternative to other classic averages, offering notably less lag in its response.
Ehlers also modified the RSI formula to produce an index that ranges from -1 to +1 instead of 0 to 100. As a result, the USI indicates bullish conditions when its value moves above 0 and bearish conditions when it falls below 0.
The USI retains many of the strengths of the traditional RSI while offering the advantage of reduced lag. It generally uses a larger lookback window than the conventional RSI to achieve similar behavior, making it suitable for trend trading with longer data lengths. When applied with shorter lengths, the USI's peaks and valleys tend to align closely with significant turning points in the time series, making it a potentially helpful tool for timing swing trades.
█ CALCULATIONS
The first step in the USI's calculation is determining each bar's strength up (SU) and strength down (SD) values. If the current bar's close exceeds the previous bar's, the calculation assigns the difference to SU. Otherwise, SU is zero. Likewise, if the current bar's close is below the previous bar's, it assigns the difference to SD. Otherwise, SD is zero.
Next, instead of the RSI's typical smoothing process, the USI's calculation applies the UltimateSmoother to the short-term average SU and SD values, reducing high-frequency chop in the series with low lag.
Finally, this formula determines the USI value:
USI = ( Ult (SU) − Ult (SD)) / ( Ult (SU) + Ult (SD)),
where Ult (SU) and Ult (SD) are the smoothed average strength up and strength down values.
3CRGANG - HISTOGRAMThe 3CRGANG - HISTOGRAM is a breakthrough tool, developed to consolidate multiple oscillators, including their Fibonacci-modified versions, into a single, streamlined indicator. This isn’t just a combination of tools—i t’s a carefully engineered solution built to address the nuanced challenges traders face, such as market noise, varying data availability, and trend alignment across multiple timeframes.
Behind the scenes, significant debugging ensures it performs flawlessly even in situations where volume data isn’t provided by brokers. With automatic adjustments that adapt to different conditions, the indicator allows traders to remain focused on decision-making. Every enhancement, from signal optimization to noise reduction, reflects careful design choices to provide practical, actionable insights.
This tool is designed to give traders clarity, speed, and an edge, enabling them to focus on the markets without worrying about technical details.
How It’s Different from Basic Indicators
Rather than simply mashing up popular indicators like MACD, RSI, and more , —it’s a strategic tool designed to detect key momentum shifts, divergences, and trends in real time.
This script combines Fibonacci-modified oscillators and classic indicators in a unique way, providing multi-dimensional insights to enhance your trading decisions.
Reduce market noise: Fast and slow averages are used to generate histograms that filter out false signals.
Optimize alerts: Fibonacci-based calculations fine-tune oscillators to detect trends at key turning points.
Multi-timeframe momentum: This allows for tracking higher timeframe momentum while making decisions on lower timeframes—a powerful feature for trend alignment.
Key Features and Unique Value
Oscillator Flexibility: Choose from multiple oscillators to fit your strategy, including both momentum-based and volatility-based approaches.
Fibonacci Enhancements: These versions increase precision, providing greater confidence in signals at critical levels.
MTF Compatibility: Analyze higher timeframe momentum on shorter charts to maintain alignment with the broader trend.
Custom Alerts: Color-coded histograms and moving averages provide visual cues to keep your trades in sync with momentum changes.
How It Works
The indicator plots fast and slow averages for the selected oscillator, and the difference between these averages forms the histogram. Custom color coding shows whether momentum is increasing or weakening. The proprietary modification factor adjusts the signal sensitivity, allowing traders to fine-tune the indicator for their strategy.
Visual Alerts:
Green Bars: Indicate bullish momentum.
Red Bars: Suggest bearish momentum.
Buy Only / Sell Only Zones: Alert traders when the indicator suggests favoring either long or short trades.
This indicator minimizes false signals by blending momentum oscillators with volume-weighted filters and smooth moving averages, ensuring better signal quality.
Use Case: Like a Traffic Light for Your Trades
Green means Go: Enter or hold long positions during green bars, signaling upward momentum.
Red means Stop (or Go Short): Exit long positions or enter short trades when red bars appear, indicating bearish momentum.
The Buy Only and Sell Only alerts help traders stay aligned with dominant trends and avoid counter-trend trades in high-momentum phases.
Real-World Examples :
Divergences (BTCUSD):
When the price action ranges, wedges, or behaves unusually, the histogram—being highly sensitive — alerts traders ahead of potential reversals or continuation moves.
This gives traders more time to assess market conditions and prepare their strategy before momentum shifts.
Multi-Timeframe Momentum (ADAUSD):
Momentum from a higher timeframe aligns with the trend on a lower timeframe, helping traders time their entries accurately.
The Priceless Edge for Traders
The 3CRGANG offers more than just another way to analyze markets—it provides a priceless edge by streamlining multiple indicators into a single tool. With the flexibility to switch between oscillators, multi-timeframe momentum tracking, and proprietary enhancements, it’s designed to help traders stay ahead in both trending and volatile markets.
Disclaimer
This indicator is a trading tool designed to provide insights into market trends, but it does not guarantee results. Trading involves risk, and past performance does not predict future outcomes. Use it alongside proper risk management practices.
Gauss IndicatorGauss Indicator
Class : oscillator
Trading type : any
Time frame : any
Purpose : reversal trading
Level of aggressiveness : any
About Gauss Indicator
Time series forecasting is quite a scientific task, for which specific econometrical models and methods have been developed.
Who is Gauss and Why his Curve is So Important
Johann Gauss was one of the best mathematicians of all times and he gave us a very specific curve (Gaussian Curve) to explain specifics of random variable behavior (so called Normal Distribution)
Gaussian curve has quite interesting property usually called “3 Sigmas Rule”: in a normal distribution: 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.
But Does It Work in the Financial Markets?
Normal Distribution is extremely typical for price behavior in financial markets: FOREX, stock Market, Commodities, Cryptocurrency market.
How can we forecast future prices based on “3 Sigmas Rule”?
If we know past prices (we actually know), we can calculate Mean and Standard Deviation.
After that following “3 Sigmas Rules” we can calculate the fluctuations range for the present day with a known probability (!).
• If we add 1 sigma to mean we can get the price value that wouldn’t be exceeded with a probability of 68%.
• If we add 2 sigmas to mean we can get the price value that wouldn’t be exceeded with a probability of 95%.
• If we add 3 sigmas to mean we can get the price value that wouldn’t be exceeded with a probability of 99%.
How Can I Get This Information?
Gauss indicator is a practical implementation of “3 sigmas rule” in trading.
Gauss allows to predict the ranges of price fluctuations for the selected time frames (week, day, hour, etc) with certain probabilities: 68%, 95% and 99%.
Gauss can be used to generate Trading signals, Stop-loss parameters, Take-profit parameters, Synthetic Levels (both Support and Resistance).
Actually, ALL information you need to trade.
Structure of the Gauss Indicator
1. Three blue lines – synthetic support lines. They describe 3 different buy zones with certain probabilities of success:
- First blue line (Buy zone #1) - the price today will not fall below this mark with a probability of 68%;
- Second blue line (Buy zone #2) - the price today will not fall below this mark with a probability of 95%;
- Third blue line (Buy zone #3) - the price today will not fall below this mark with a probability of 99%.
2. Three red lines – synthetic resistance lines. They describe 3 different sell zones with certain probabilities of success:
- First red line (Sell zone #1) - the price today will not rise above this mark with a probability of 68%;
- Second red line (Sell zone #2) - the price today will not rise above this mark with a probability of 95%;
- Third red line (Sell zone #3) - the price today will not rise above this mark with a probability of 99%.
3. Green line – shows current price. When it gets close to the red/blue line sell/buy signals are generated.
Trading rules
General rules are as follows: buy at the blue lines, sell at the red lines.
Take-profits for sells are set at the nearest blue line, for buys – at the nearest red line. Stop-losses for sells are set above the last red line, for buys – below the last blue line.
OutperformX VCPSwingDesigned to measure and visualize the relative strength and outperformance of a stock compared to a benchmark. Here’s a feature-by-feature breakdown
Credits to Eeshan for all the help
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Alpha Calculation: What's it About?
The key component of this indicator is the Alpha calculation, which measures a stock's outperformance relative to a base index (e.g., Nifty Midsmall 400) while accounting for risk-free returns. By comparing the stock's performance with the base and risk-free rates, we get the Alpha.
The Alpha logic has been slightly modified, not strictly following the textbook approach
——————
Customizable Inputs: Tailored for You
You can choose whether to display Alpha.
Change the Base Index (e.g., NiftyMidsmall400).
Adjust the Performance Period (Days) for custom Alpha/Outperformance calculations.
Performance options range from 5 to 252 days, helping to fine-tune the outperformance tracking.
—————
Highlighting Performance Peaks: Short-Term & Long-Term
The indicator automatically highlights Short-Term Peak Performance over customizable short-term windows (e.g., 21 days).
It also detects Long-Term Performance Peaks, spanning up to 52 weeks. These peaks are represented as dots on the Alpha line.
——————
Color-Coded Alpha: Clear Visuals
To make the indicator visually intuitive:
Positive Alpha (outperformance) is marked in green.
Negative Alpha (underperformance) is shown in red. These are customizable so you can adjust colors to your preference!
—————
Outperformance Before Price Peaks
One cool feature is tracking whether Alpha outperforms before the price hits new highs. If Alpha breaks out but price lags, a “dot” is drawn, giving a heads-up on potential upcoming price moves.
——————
Background Color Highlighting
Background colors change dynamically based on performance:
Green for positive Alpha (outperformance).
Red for negative Alpha (underperformance). This gives a quick visual reference of the stock’s performance at a glance.
——————-
Filling the Alpha Zone
The indicator fills the area between the Alpha line and zero. This shading helps highlight the magnitude of outperformance (or underperformance) and provides a quick visual cue about trends.
———————
Get Started
With all these features combined, the Outperformance indicator becomes a powerful tool for spotting leading stocks, tracking risk-adjusted performance, and identifying performance peaks before price catches up.
MomentumSignal Kit RSI-MACD-ADX-CCI-CMF-TSI-EStoch// ----------------------------------------
// Description:
// ----------------------------------------
// MomentumKit RSI/MACD-ADX-CCI-CMF-TSI-EStoch Suite is a comprehensive momentum indicator suite designed to provide robust buy and sell signals through the consensus of multiple normalized momentum indicators. This suite integrates the following indicators:
// - **Relative Strength Index (RSI)**
// - **Stochastic RSI**
// - **Moving Average Convergence Divergence (MACD)** with enhanced logic
// - **True Strength Index (TSI)**
// - **Commodity Channel Index (CCI)**
// - **Chaikin Money Flow (CMF)**
// - **Average Directional Index (ADX)**
// - **Ehlers' Stochastic**
//
// **Key Features:**
// 1. **Normalization:** Each indicator is normalized to a consistent scale, facilitating easier comparison and interpretation across different momentum metrics. This uniform scaling allows traders to seamlessly analyze multiple indicators simultaneously without the confusion of differing value ranges.
//
// 2. **Consensus-Based Signals:** By combining multiple indicators, MomentumKit generates buy and sell signals based on the agreement among various momentum measurements. This multi-indicator consensus approach enhances signal reliability and reduces the likelihood of false positives.
//
// 3. **Overlap Analysis:** The normalization process aids in identifying overlapping signals, where multiple indicators point towards a potential change in price or momentum. Such overlaps are strong indicators of significant market movements, providing traders with timely and actionable insights.
//
// 4. **Enhanced Logic for MACD:** The MACD component within MomentumKit utilizes enhanced logic to improve its responsiveness and accuracy in detecting trend changes.
//
// 5. **Debugging Features:** MomentumKit includes advanced debugging tools that display individual buy and sell signals generated by each indicator. These features are intended for users with technical and programming skills, allowing them to:
// - **Visualize Signal Generation:** See real-time buy and sell signals for each integrated indicator directly on the chart.
// - **Adjust Signal Thresholds:** Modify the criteria for what constitutes a buy or sell signal for each indicator, enabling tailored analysis based on specific trading strategies.
// - **Filter and Manipulate Signals:** Enable or disable specific indicators' contributions to the overall buy and sell signals, providing flexibility in signal generation.
// - **Monitor Indicator Behavior:** Utilize debug plots and labels to understand how each indicator reacts to market movements, aiding in strategy optimization.
//
// **Work in Progress:**
// MomentumKit is continuously evolving, with ongoing enhancements to its algorithms and user interface. Current debugging features are designed to offer deep insights for technically adept users, allowing for extensive customization and fine-tuning. Future updates aim to introduce more user-friendly interfaces and automated optimization tools to cater to a broader audience.
//
// **Usage Instructions:**
// - **Visibility Controls:** Users can toggle the visibility of individual indicators to focus on specific momentum metrics as needed.
// - **Parameter Adjustments:** Each indicator comes with customizable parameters, allowing traders to fine-tune the suite according to their trading strategies and market conditions.
// - **Debugging Features:** Enable the debugging mode to visualize individual indicator signals and adjust their contribution to the overall buy/sell signals. This requires a basic understanding of the underlying indicators and their operational thresholds.
//
// **Benefits:**
// - **Simplified Analysis:** Normalization simplifies the process of analyzing multiple indicators, making it easier to identify consistent signals across different momentum measurements.
// - **Improved Decision-Making:** Consensus-based signals backed by multiple normalized indicators provide a higher level of confidence in trading decisions.
// - **Versatility:** Suitable for various trading styles and market conditions, MomentumKit offers a versatile toolset for both novice and experienced traders.
//
// **Technical Requirements:**
// - **Programming Knowledge:** To fully leverage the debugging and signal manipulation features, users should possess a foundational understanding of Pine Script and the mechanics of momentum indicators.
// - **Customization Skills:** Ability to adjust indicator parameters and debug filters to align with specific trading strategies.
//
// **Disclaimer:**
// This indicator suite is intended for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own analysis or consult a qualified financial advisor before making trading decisions.
Stochastics Confluences 4 in 1Description of the Pine Script:
This script plots the Full Stochastic indicator for four different time periods, and highlights conditions where potential buy or sell signals can be identified. The Stochastic indicator measures the position of the current closing price relative to the range of high and low prices over a defined period, helping traders identify overbought and oversold conditions.
Key Features:
Stochastic Calculation for 4 Different Periods:
The script calculates the Stochastic for four separate lookback periods: 9, 14, 40, and 60 bars.
Each Stochastic value is smoothed by a Simple Moving Average (SMA) to reduce noise and provide a clearer signal.
Visual Representation:
It plots each Stochastic value on the chart using different colors, allowing the user to see how the different periods of the indicator behave relative to each other.
Horizontal lines are drawn at 80 (Upper Bound) and 20 (Lower Bound), commonly used to identify overbought and oversold regions.
Highlighting Buy and Sell Conditions:
Green Highlight (Potential Buy Signal):
When all four Stochastic values (for the four different periods) are below 20, this suggests that the asset is in an oversold condition across multiple timeframes. The green background highlight appears when the Stochastic lines converge below 20, indicating a potential buy signal, as the price may be preparing to move upward from an oversold state.
Red Highlight (Potential Sell Signal):
When all four Stochastic values are above 80, the asset is in an overbought condition across multiple timeframes. The red background highlight appears when the Stochastic lines converge above 80, indicating a potential sell signal, as the price may soon reverse downward from an overbought state.
How to Interpret the Signals:
Buy Signals (Green Highlight):
When the chart is highlighted in green, it means the Stochastic indicators for all four periods are below 20, signaling that the asset is oversold and may be nearing a potential upward reversal. This condition suggests a possible buying opportunity, especially when other indicators confirm the potential for an upward trend.
Sell Signals (Red Highlight):
When the chart is highlighted in red, it indicates that the Stochastic indicators for all four periods are above 80, meaning the asset is overbought. This condition signals a possible downward reversal, suggesting a potential selling opportunity if the price begins to show signs of weakness.
By using this script, traders can visually identify periods of strong confluence across different timeframes when the Stochastic indicators are in extreme oversold or overbought conditions, which are traditionally seen as strong buy or sell signals.
This approach helps filter out weaker signals and focuses on moments when all timeframes align, increasing the probability of a successful trade.
Z-Score Pairs TradingTitle: Z-Score Pairs Trading Indicator
Description:
This indicator implements a Z-score based pairs trading strategy, allowing traders to identify potential statistical arbitrage opportunities between two selected assets.
Key Features:
- Calculates Z-score for the price difference between any two user-selected symbols
- Visualizes Z-score with customizable thresholds for signals
- Generates long and short signals based on extreme Z-score values
- Adaptable to various markets including stocks, ETFs, and commodities
How It Works:
1. The indicator calculates the price difference between two selected symbols.
2. It then computes the Z-score of this difference, showing how far the current spread deviates from its historical average.
3. When the Z-score exceeds set thresholds (default ±2), the indicator generates trading signals.
Settings:
- Symbol A and Symbol B: Select any two tradable symbols to compare
- Lookback Period: Number of periods for calculating the moving average and standard deviation
Interpretation:
- Z-score above 2: Potential short signal (pair is likely overextended)
- Z-score below -2: Potential long signal (pair is likely oversold)
- Z-score between -2 and 2: Normal trading range, no signals
Visual Aids:
- Blue line: Z-score
- Dashed lines: Threshold levels at 0, ±1, and ±2
- Green triangles: Long signals
- Red triangles: Short signals
Disclaimer:
This indicator is for educational and research purposes only. Trading carries a high level of risk. Always conduct your own analysis and manage your risk appropriately before entering any trade.
Made by @marekfleisi
Risk Matrix [QuantraSystems]Risk Matrix
The Risk Matrix is a sophisticated tool that aggregates a variety of fundamental inputs, primarily external (non-crypto) market data is used to assess investor risk appetite. By combining external macroeconomic factors and proxies for liquidity data with specific signals from the cryptomarket - the Risk Matrix provides a holistic view of market risk conditions. These insights are designed to help traders and investors make informed decisions on when to adopt a risk-on or risk-off approach.
Core Concept
The Risk Matrix functions as a dynamic risk assessment tool that integrates both fundamental and technical market indicators to generate an aggregated Z-score. This score helps traders to identify where the market is in a risk-off or risk-on state, The system provides both binary risk signals and a more nuanced “risk seasonality” mode for deeper analysis.
Key Features
Global Liquidity Aggregate - The Liquidity score is a custom measure of global liquidity, built by combining a variety of traditional financial metrics. These include data from central bank balance sheets, reverse repo operations and credit availability. This data is sourced from organizations such as the U.S. Federal Reserve, the European Central Bank, and the People’s Bank of China. The purpose of this aggregate is to gauge how much liquidity is available in the global financial system - which often correlates with risk sentiment. Rising liquidity tends to boost risk-on appetite, while liquidity contractions signal increased caution (risk-off) in the markets. The data sources used in this global liquidity aggregate include:
- U.S. Commercial Bank Credit data
- Federal Reserve balance sheet and reverse repo operations
- Liquidity from major central banks including the Fed, Bank of Japan, ECB, and PBoC
- Asset performance from major global financial indices such as the S&P 500, TLT, DXY (U.S. Dollar Index), MOVE (bond market volatility), and commodities like gold and oil.
Other key Z-scores (measured individually) - The Risk Matrix also incorporates other major Z-scores that represent different facets of the financial markets:
- Collateral Risk - A measure of US bond volatility, where higher values indicate higher interest rate risk - leading to potential market instability and cautious market behaviors.
- Stablecoin Dominance - The dominance of stablecoins in the crypto markets - which can signal risk aversion the total capital allocated to stables increases relative to other cryptocurrencies.
- US Currency Strength - The U.S. Dollar Index Z-score reflects currency market strength, with higher values typically indicating risk aversion as investors sell more volatile assets and flock to the dollar.
- Trans-pacific Monetary Bias - Signals capital flow and monetary trends that link between the East and West, heavily influencing global risk sentiment.
- Total - A measure of the total cryptocurrency market cap, signaling broader risk sentiment with the crypto market.
Neural Network Synthesis - The NNSYNTH component adds a machine learning inspired layer to the Risk Matrix. This custom indicator synthesizes inputs from various technical indicators (such as RSI, MACD, Bollinger Bands, and others) to generate a composite signal that reflects the health of the cryptomarket. While highly complex in its design, the NNSYNTH ultimately helps detect market shifts early by synthesizing multiple signals into one cohesive output. This score is particularly useful for gauging momentum and identifying potential turning points in market trends. Because the NNSYNTH is a closed source indicator, and it is included here, the Risk Matrix by extension is a closed source indicator.
How it Works
Z-score Aggregation - The Risk Matrix computes a final risk score by aggregating several Z-scores from different asset classes and data sources, all of which contribute proportionally to the overall market risk assessment. Each input is equally weighted - normalization allows for direct comparisons across global liquidity trends, currency fluctuations, bond market volatility and crypto market conditions. Furthermore, this system employs multi-calibration aggregation - where each individual matrix is itself an aggregate of multiple Z-scores derived from various timeframes. This ensures that each matrix captures a distinct average across different time horizons before being combined into the overall Risk Matrix. This layered, multi timeframe approach enhances the precision and robustness of the final Z-score.
Risk-On / Risk-Off Mode - The system’s binary mode provides a clear Risk On and Off signal. This nature of this signal is determined by the behavior of the Z-score relative to the midline, or Standard Deviation Bands, depending on specific conditions:
Risk-On is signaled when the aggregated final Z-score crosses above 0. However, in extreme oversold conditions, Risk-On can trigger early if the upper standard deviation band falls below the zero line. In such cases, the Risk-On signal is triggered when the z-score crosses the upper standard deviation band - without waiting to cross the midline.
Risk-Off is signaled when the final Z-score moves below 0. Similarly, Risk-Off can also be triggered early if the lower standard deviation band rises above the midline. In this instance, Risk-Off is triggered when the Z-score crosses below the lower band.
Risk Seasonality Mode - This mode offers a more gradual transition between risk states, measuring the change in the Z-score to visualize the shifts in risk appetite over time. It's useful for traders seeking to understand broader market cycles and risk phases. The seasonality view breaks down the market into the following phases:
Risk-On - High risk appetite where risk/cyclical markets are generally bullish.
Weakening - Markets showing signs of cooling off, here the higher beta assets tend to sell off first.
Risk-Off - Investors pull back, and bearish sentiment prevails.
Recovery - Signs of bottoming out, potential for market re-entry.
Component Matrices - Each individual Z-score is visualized as part of the component matrices - scaled to a 3 Sigma range. These component matrices allow traders to view how each data source is contributing to the overall risk assessment in real time - offering transparency and granularity.
Visuals and UI
Main Risk Matrix - The aggregated Z-Score is displayed saliently in the main risk matrix. Traders and investors can quickly see what season the Risk Matrix is signaling and adjust their strategies accordingly.
Overview Table - A detailed overview table shows the current confirmed Z-scores for each component, along with values from 2, and 3 bars back. This helps traders spot trends and the rate of change (RoC) between signals, offering additional insights for shorter-term risk management.
Customizability - Users can customize the visual elements of the matrix, including color palettes, table sizes, and positions. This allows for optimal integration into any trader’s existing workspace.
Usage Summary
The Risk Matrix is an incredibly versatile tool. It is especially valuable as a means of achieving a cross-market view of risk, incorporating both crypto-specific and macroeconomic factors. Some key use cases include:
Adjusting Capital Allocation Based on Risk Seasons - Traders can use the Risk Matrix to adjust their capital allocation dynamically. During Risk-On periods, they might increase exposure to long positions, capitalizing on stronger market conditions. Conversely, during Risk-Off periods, traders could reduce or hedge long positions and potentially scale up short positions or move into safer assets.
Complementing Other Trading Systems - The Risk Matrix can work alongside other technical systems to provide context to market moves. For instance, a trend-following strategy might suggest an entry, but the Risk Matrix could be used to verify whether the broader market conditions support this trade. If the Matrix is in a Risk-Off period, a trader might opt for more conservative trade sizes or avoid the trade entirely.
This flexibility allows traders to adjust their strategies and portfolio risk dynamically, enhancing decision making based on broader market conditions - as indicated by external macroeconomic factors, liquidity, and risk sentiment.
Important Note
The Risk Matrix always uses the most up-to-date data available, ensuring analysis reflects the latest market conditions and macroeconomic inputs. In rare cases, governments or financial institutions revise past data - and the Risk Matrix will adjust accordingly. This behavior can only be seen in the Liquidity Matrix. and can affect the final score. While this is uncommon, it highlights the benefit of using a system that adapts in real-time, incorporating the most accurate and current information to enhance decision making processes.
Fear Greed Zones by Relative Strength IndexThis is a visual modification of the relative Strength Index (RSI) to express extreme areas as fear and greed Zones.
// Input
rsiLength = input.int(14, "RSI Length", minval=1)
// RSI calculation
rsi = ta.rsi(close, rsiLength)
FEAR GREED ZONES
The "Fear Greed Zones Script" indicator is designed to help traders identify psychological levels of fear and greed in the market by utilising relative strength index. It primarily utilises the Relative Strength Index of price to gauge market sentiment, with the following key features:
Color-Codes
Dark Red: Indicates a greed zone , suggesting extreme overbought conditions (high risk) and a possible price reversal downward.
Dark Green: Represents a fear zone, indicating extreme oversold conditions (low risk) and potential for price reversal upward.
Yellow: Serves as a neutral zone with medium risk.
Usage
Market Sentiment Analysis: Traders can use the fear and greed zones to assess overall market sentiment, aligning their strategies with prevailing emotional biases. This helps in identifying potential entry and exit points based on market psychology.
Risk Management: Understanding fear or greed influences market behavior and allows traders to manage their risk more effectively with the knowledge of high or low risk areas; as they can anticipate potential reversals or continuations in price trends.
Conclusion
The "Fear Greed Zones" Script is a valuable tool for traders looking to leverage market psychology. By clearly identifying areas where fear or greed may be influencing price movements, it aids in making more informed trading decisions.
Money Wave Script (Visual Adaptive MFI)This Script is a visual modification of the Money Flow Index (MFI)
//@version=5
indicator(title="Money Flow Index", shorttitle="MFI", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
length = input.int(title="Length", defval=14, minval=1, maxval=2000)
src = hlc3
mf = ta.mfi(src, length)
plot(mf, "MF", color=#7E57C2)
overbought=hline(80, title="Overbought", color=#787B86)
hline(50, "Middle Band", color=color.new(#787B86, 50))
oversold=hline(20, title="Oversold", color=#787B86)
fill(overbought, oversold, color=color.rgb(126, 87, 194, 90), title="Background")
This Money Wave Script is culled from. the Money Flow Index with visual representation to help traders identify money flow. In addition, the waves can be smoothened. Here’s a detailed overview based on its functionality, color coding, usage, risk management, and a concluding summary.
Functionality
The Money Wave Script operates as an oscillator that measures the inflow and outflow of money into an asset over a specified period. It calculates the MFI by considering both price and volume, which allows it to assess buying and selling pressures more accurately than traditional indicators that rely solely on price data.
Color Coding
The indicator employs a color-coded scheme to enhance visual interpretation:
Green Area: Indicates bullish conditions when the normalized Money wave is above zero, suggesting buying pressure.
Red Area: Indicates bearish conditions when the normalized Money wave is below zero, suggesting selling pressure.
Background Colors: The background changes to green when the MoneyWave exceeds the upper threshold (overbought) and red when it falls below the lower threshold (oversold), providing immediate visual cues about market conditions.
Usage
Traders utilize the Money Wave indicator in various ways:
Identifying Overbought and Oversold Levels: By observing the MFI readings, traders can determine when an asset may be overbought or oversold, prompting potential entry or exit points.
Spotting Divergences: Traders look for divergences between price and the MFI to anticipate potential reversals. For example, if prices are making new highs but the MFI is not, it could indicate weakening momentum.
Trend Confirmation: The indicator can help confirm trends by showing whether buying or selling pressure is dominating.
Customizable Settings: Users can adjust parameters such as the MFI length , Smoothen index and overbought/oversold thresholds to tailor the indicator to their trading strategies.
Conclusion
The Money Wave indicator is a powerful tool for traders seeking to analyze market conditions based on the flow of money into and out of assets. Its combination of price and volume analysis, along with clear visual cues, makes it an effective choice for identifying overbought and oversold conditions, spotting divergences, and confirming trends.
TEMA For Loop [Mattes]The TEMA For Loop indicator is a powerful tool designed for technical analysis, combining the Triple Exponential Moving Average (TEMA) with a custom scoring mechanism based on a for loop. It evaluates price trends over a specified period, allowing traders to identify potential entry and exit points in the market. This indicator enhances decision-making by providing visual cues through dynamic candle coloring, reflecting market sentiment and trends effectively.
Technical Details:
Triple Exponential Moving Average (TEMA):
- TEMA is known for its responsiveness to price changes, as it reduces lag compared to traditional moving averages. The TEMA calculation employs three nested Exponential Moving Averages (EMAs) to produce a smoother trend line, which helps traders identify the direction and momentum of the market.
Scoring Mechanism:
- The scoring mechanism is based on a custom for loop that compares the current TEMA value to previous values over a specified range. The loop counts how many previous values are less than the current value, generating a score that reflects the strength of the trend:
- A higher score indicates a stronger upward trend.
- A lower (negative) score suggests a downward trend.
Threshold Levels:
- Upper Threshold: A score above this level signals a potential long entry, indicating strong bullish momentum.
- Lower Threshold: A score below this level indicates a potential short entry, suggesting bearish sentiment.
>>>These thresholds are adjustable, allowing traders to fine-tune their strategy according to their risk tolerance and market conditions.
Signal Logic:
- The indicator provides clear signals for entering long or short positions based on the score crossing the defined thresholds.
>>Long Entry Signal: When the smoothed score crosses above the upper threshold.
>>Short Entry Signal: When the smoothed score crosses below the lower threshold.
Why This Indicator Is Useful:
>>> Enhanced Decision-Making: The TEMA For Loop indicator offers traders a clear and objective view of market trends, reducing the emotional aspect of trading. By visualizing bullish and bearish conditions, it assists traders in making timely decisions.
>>> Customizable Parameters: The ability to adjust TEMA period, thresholds, and other settings allows traders to tailor the indicator to their specific trading strategies and market conditions.
Visual Clarity: The integration of dynamic candle coloring provides immediate visual cues about the prevailing trend, making it easier for traders to spot potential trade opportunities at a glance.
The TEMA For Loop - Smoothed with Candle Colors indicator is a sophisticated trading tool that utilizes TEMA and a custom scoring mechanism to identify and visualize market trends effectively. By employing dynamic candle coloring, traders gain immediate insights into market sentiment, enabling informed decision-making for entry and exit strategies. This indicator is designed for traders seeking a systematic approach to trend analysis, enhancing their trading performance through clear, actionable signals.
Relative Strength Price Oscillator Indicator (RS PPO)Percentage Price Oscillator (PPO)
The Percentage Price Oscillator (PPO) is a momentum oscillator that measures the difference between two moving averages as a percentage of the larger moving average. As with its cousin, MACD, the Percentage Price Oscillator is shown with a signal line, a histogram and a centerline. Signals are generated with signal line crossovers, centerline crossovers, and divergences.
PPO readings are not subject to the price level of the security and the PPO values for different securities can be compared, regardless of the price of the security.
Relative Strength (RS)
Relative strength is a strategy used in momentum investing and focuses on investing in stocks or other securities that have performed well relative to the market as a whole or to a relevant benchmark.
Chart
In the chart, Microsoft stock (MSFT) is plotted against the VanEck Semiconductor ETF (SMH).
In the example on the left, from the negative values of the RS PPO it can be seen that MSFT, although trending upward, is losing out in negative terms to the SMH etf.
In the example on the right, during a correction phase with a downward price trend, Microsoft held up relatively well compared to the Van Eck Semiconductor etf.
RSI Bars with Higher Timeframe - homburgresearchThe "RSI Bars with Higher Timeframe - homburgresearch" indicator is an advanced tool designed to provide traders with visual cues about overbought, oversold, and trend-related market conditions based on the Relative Strength Index (RSI). This version also includes an analysis of higher timeframes to enhance decision-making and provide a more comprehensive view of market trends.
Indicator Features:
The indicator colors the bars according to the RSI value and considers conditions on both the current and higher timeframes. A bullish trend is represented by gray bars when the RSI is above the 50 level, while a bearish trend is represented by black bars when the RSI is below the 50 level.
The indicator also offers coloring to highlight extreme overbought or oversold conditions. Extremely overbought areas (e.g., RSI > 80) are marked in red and may indicate particularly risky market conditions. Extremely oversold areas (e.g., RSI < 20) are marked in green and indicate potentially very attractive buying opportunities.
In addition to bar coloring, the indicator allows for background coloring based on the RSI values of a higher timeframe chosen by the user. This background helps identify larger trends, with red and green shading representing bearish and bullish conditions, respectively. Additionally, extreme overbought and oversold conditions can also be represented as background, providing traders with even clearer signals for risky or attractive market conditions. This feature allows traders to better align their trading decisions with the broader market trend and adds another layer of analysis.
All parameters are individually adjustable, including the RSI length, thresholds for overbought/oversold conditions, colors for different market states, and the choice of a higher timeframe for background analysis.
The indicator provides alerts that notify you when the RSI reaches certain thresholds, ensuring that you do not miss important trading opportunities. Alerts can be set for entering the overbought zone, the oversold zone, or extreme overbought or oversold conditions.
Using the RSI Bars with Higher Timeframe Indicator:
RSI-based signals can be easily identified through the color-coded bars, helping you recognize when the market might be overbought or oversold. This information can be used for potential counter-movements in the market.
Gray bars indicate that the RSI is above the 50 level, suggesting a bullish trend. Black bars indicate that the RSI is below the 50 level, suggesting a bearish trend. This information helps you better assess the current market direction.
The highlighting of extreme overbought or oversold conditions helps identify overheated markets, which may indicate short-term reversals or a possible continuation. The background color provides context from a higher timeframe and helps traders understand the larger market trend and make more informed decisions.
The alerts keep you updated when the market reaches specific RSI conditions, allowing you to react without constantly monitoring the chart.
Examples of Use:
If the bars are marked in gray, this indicates a bullish trend. It may be advisable to look for long positions or hold existing positions.
If the bars are marked in black, this indicates a bearish trend. It may be advisable to consider short positions or reduce existing long positions.
If the bars are marked in red (overbought), it could be an opportunity to take profits or consider short positions.
If the bars are marked in green (oversold), it could be a good opportunity to look for long positions.
If the background is shaded in green, it indicates a broader bullish trend on the higher timeframe, suggesting that it may be better to align trades in that direction.
If the background is shaded in red, it indicates a broader bearish trend on the higher timeframe, signaling caution for long trades and favoring short trades.
The RSI Bars with Higher Timeframe indicator is particularly useful for traders who base their decisions on RSI signals and want to integrate a multi-timeframe approach into their trading strategy for more comprehensive market analysis.
Note: This indicator is for informational purposes only and does not constitute a buy or sell decision. Any trading decision should be based on your own analysis and consideration of your individual risk profile.
Momentum Nexus Oscillator [UAlgo]The "Momentum Nexus Oscillator " indicator is a comprehensive momentum-based tool designed to provide traders with visual cues on market conditions using multiple oscillators. By combining four popular technical indicators—RSI (Relative Strength Index), VZO (Volume Zone Oscillator), MFI (Money Flow Index), and CCI (Commodity Channel Index)—this heatmap offers a holistic view of the market's momentum.
The indicator plots two lines: one representing the current chart’s combined momentum score and the other representing a higher timeframe’s (HTF) score, if enabled. Through smooth gradient color transitions and easy-to-read signals, the Momentum Nexus Heatmap allows traders to easily identify potential trend reversals or continuation patterns.
Traders can use this tool to detect overbought or oversold conditions, helping them anticipate possible long or short trade opportunities. The option to use a higher timeframe enhances the flexibility of the indicator for longer-term trend analysis.
🔶 Key Features
Multi-Oscillator Approach: Combines four popular momentum oscillators (RSI, VZO, MFI, and CCI) to generate a weighted score, providing a comprehensive picture of market momentum.
Dynamic Color Heatmap: Utilizes a smooth gradient transition between bullish and bearish colors, reflecting market momentum across different thresholds.
Higher Timeframe (HTF) Compatibility: Includes an optional higher timeframe input that displays a separate score line based on the same momentum metrics, allowing for multi-timeframe analysis.
Customizable Parameters: Adjustable RSI, VZO, MFI, and CCI lengths, as well as overbought and oversold levels, to match the trader’s strategy or preference.
Signal Alerts: Built-in alert conditions for both the current chart and higher timeframe scores, notifying traders when long or short entry signals are triggered.
Buy/Sell Signals: Displays visual signals (▲ and ▼) on the chart when combined scores reach overbought or oversold levels, providing clear entry cues.
User-Friendly Visualization: The heatmap is separated into four sections representing each indicator, providing a transparent view of how each contributes to the overall momentum score.
🔶 Interpreting Indicator:
Combined Score
The indicator generates a combined score by weighing the individual contributions of RSI, VZO, MFI, and CCI. This score ranges from 0 to 100 and is plotted as a line on the chart. Lower values suggest potential oversold conditions, while higher values indicate overbought conditions.
Color Heatmap
The indicator divides the combined score into four distinct sections, each representing one of the underlying momentum oscillators (RSI, VZO, MFI, and CCI). Bullish (greenish) colors indicate upward momentum, while bearish (grayish) colors suggest downward momentum.
Long/Short Signals
When the combined score drops below the oversold threshold (default is 26), a long signal (▲) is displayed on the chart, indicating a potential buying opportunity.
When the combined score exceeds the overbought threshold (default is 74), a short signal (▼) is shown, signaling a potential sell or short opportunity.
Higher Timeframe Analysis
If enabled, the indicator also plots a line representing the combined score for a higher timeframe. This can be used to align lower timeframe trades with the broader trend of a higher timeframe, providing added confirmation.
Signals for long and short entries are also plotted for the higher timeframe when its combined score reaches overbought or oversold levels.
🔶Purpose of Using Multiple Technical Indicators
The combination of RSI, VZO, MFI, and CCI in the Momentum Nexus Heatmap provides a comprehensive approach to analyzing market momentum by leveraging the unique strengths of each indicator. This multi-indicator method minimizes the limitations of using just one tool, resulting in more reliable signals and a clearer understanding of market conditions.
RSI (Relative Strength Index)
RSI contributes by measuring the strength and speed of recent price movements. It helps identify overbought or oversold levels, signaling potential trend reversals or corrections. Its simplicity and effectiveness make it one of the most widely used indicators in technical analysis, contributing to momentum assessment in a straightforward manner.
VZO (Volume Zone Oscillator)
VZO adds the critical element of volume to the analysis. By assessing whether price movements are supported by significant volume, VZO distinguishes between price changes that are driven by real market conviction and those that might be short-lived. It helps validate the strength of a trend or alert the trader to potential weakness when price moves are unsupported by volume.
MFI (Money Flow Index)
MFI enhances the analysis by combining price and volume to gauge money flow into and out of an asset. This indicator provides insight into the participation of large players in the market, showing if money is pouring into or exiting the asset. MFI acts as a volume-weighted version of RSI, giving more weight to volume shifts and helping traders understand the sustainability of price trends.
CCI (Commodity Channel Index)
CCI contributes by measuring how far the price deviates from its statistical average. This helps in identifying extreme conditions where the market might be overextended in either direction. CCI is especially useful for spotting trend reversals or continuations, particularly during market extremes, and for identifying divergence signals.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
RSI Fakeout Filter with SMA Confirmation [CHE] Introducing: RSI Fakeout Detection
Are you tired of being caught in fakeouts that can lead to frustrating losses? The RSI Fakeout Detection is here to enhance your trading strategy by filtering out false signals and providing you with more reliable entries. This innovative indicator is designed to help traders identify when market momentum, as indicated by the RSI, does not align with price movement – a key indicator of potential fakeouts!
What Does It Do?
The RSI Fakeout Detection focuses on one key goal: avoiding false signals. By monitoring when the RSI exceeds a customizable threshold (indicating strength) but the price remains below a moving average like the SMA, this indicator highlights situations where the market may seem strong, but the price action doesn't support that momentum. In other words, it saves you from those tricky fake breakouts.
Key Benefits:
1. Reduce Risk, Increase Confidence: Get an extra layer of protection against fakeouts by receiving signals only when both RSI and price confirm the market's true direction. Avoid entering false breakouts and trade with more confidence.
2. Dynamic Analysis of SMA Lengths: It doesn’t just rely on one SMA. The indicator automatically analyzes and sorts through different SMA lengths to find the most reliable one for your specific market condition, ensuring that you get the best possible signal.
3. Tailored for You: With customizable RSI thresholds, a choice of multiple moving average types (SMA, EMA, Bollinger Bands, and more), and vibrant color-coded visuals, this tool is built to fit your unique trading style and preferences.
4. Spot Fakeouts with Ease: Visual cues make it easy to see when the market might be tricking you. Labels, plotted lines, and a toggleable disclaimer keep everything transparent and easy to understand.
5. Friendly and Intuitive: Whether you’re new to trading or a seasoned pro, the RSI Fakeout Detection is designed to be simple and effective. The labels and plots are clear, the alerts are timely, and it seamlessly integrates into your chart without cluttering it.
Why Choose RSI Fakeout Detection?
- Accuracy and Precision: By combining RSI and SMA analysis, this indicator minimizes the risk of following false trends and entering trades too early.
- Save Time and Reduce Guesswork: No more spending hours trying to figure out which SMA length works best – the RSI Fakeout Detection does it for you!
- Peace of Mind: Avoiding fakeouts means fewer bad trades, which can lead to more consistent performance and less stress.
Transform the way you trade, and step into a more confident trading future with RSI Fakeout Detection . Whether you’re day trading or swing trading, this tool will give you an edge by helping you filter out the noise and make more informed decisions.
Best regards,
Chervolino
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Smart Momentum Relative StrengthSmart Momentum Relative Strength
Creator Journey
The Smart Momentum Relative Strength indicator is
created by Vishal R. Janjire , inspired by BharatTrader sir, and parameters guided by mentor stockedge founder Vivek Bajaj sir.
Reason? ...Why choose Smart Momentum Relative Strength.
1.Simple to Trade: This indicator simplifies trading decisions. You just need to follow the background color displayed on the chart. When the background is green, it signals a bullish trend, and when it turns red, it signals a bearish trend. For an even cleaner experience, you can untick the Relative Strength (RS) toggle in the indicator settings and focus purely on trading based on these background colors, making the process straightforward and efficient.
2.Unlock the power to compare any stock, share, commodity, forex or cryptocurrency against major indices like Nasdaq Composite, NYSE Composite, Bitcoin, NG, Gold, Silver, Crude oil, Nasdaq-100, Nifty 50, Hang Seng Index, FTSE 100, and many more! With the Comparative Relative Strength (RS) indicator,
You can easily change the default Nifty 50 comparative symbol to any index or asset of your choice, such as Gold, Silver, Crude Oil, or global benchmarks like the Dow Jones Industrial Average, DAX, Euronext 100, and SSE Composite.
This versatile tool allows traders to measure how well a base symbol (e.g., stock or crypto) performs relative to a chosen benchmark over a specified period. Whether you're analyzing the relative strength of Bitcoin against the Nasdaq-100 or comparing stocks to the S&P 500, this indicator provides valuable insights into market trends and outperforming assets.
The Smart Momentum Relative Strength combines several advanced technical analysis tools into one comprehensive Pine Script indicator designed to provide a nuanced view of market strength and trends. This script integrates Relative Strength (RS), Commodity Channel Index (CCI), and additional trend confirmation mechanisms to deliver actionable insights for traders.
Below are key points to understand before using this indicator:
Important Parameters:
1. Green Line: Represents stocks outperforming the comparative index, which is Nifty 50. However, do not apply this result directly to Nifty 50 itself, as it will not work exclusively on the Nifty 50 index.
2. Red Line: Indicates that the stock is underperforming relative to the Nifty 50 index.
3. Green Background: Signifies that both the current time momentum and higher time momentum are aligned, indicating an upward trend.
4. Red Background: Signifies that both the current time momentum and higher time momentum are aligned, indicating a downward trend.
5. Blank Space: This occurs when the two timeframes are not aligned, indicating market uncertainty and signaling a potential change in market direction, it means short time frame or current time frame changed its direction to opposite side.
Multi-Time Frame (MTF) Settings:
This indicator incorporates a default multi-time frame setup, as follows:
1 and 2 Minute chart = 5 Minute higher time frame
3 Minute chart = 15 Minute higher time frame
5 Minute chart = 15 Minute higher time frame
10 Minute chart = 60 Minute higher time frame
15 Minute chart = 60 Minute higher time frame
20 and 30 Minute chart = 120 Minute higher time frame
1 Hour chart = 4 Hour higher time frame
2 Hour chart = 4 Hour higher time frame
4 Hour chart = 1 Day higher time frame
1 Day chart = 1 Week higher time frame
1 Week chart = 1 Month higher time frame
1 Month chart = 12 Month higher time frame
For any other chart time frame = Day time is default time frame
1. Relative Strength (RS) Analysis:
Calculation: Measures the performance of the base symbol relative to a comparative symbol over a specified period.
Visualization: The RS value is plotted with color-coded lines to indicate bullish (green) or bearish (red) conditions based on crossovers. Users can customize the color based on value or trend direction.
Trend Analysis: A simple moving average (SMA) of RS is displayed to visualize trend strength and direction, with color changes to reflect rising or falling trends.
2. Commodity Channel Index (CCI):
- Current Timeframe CCI: Calculates the CCI for the current timeframe to assess price momentum.
- Higher Timeframe CCI: Computes the CCI for a higher timeframe to provide a broader market perspective.
- Background Color: Highlights the chart background in green or red based on whether both current and higher timeframe CCIs are above or below zero, respectively.
-Blank Space: This occurs when the two timeframes are not aligned, indicating market uncertainty and signaling a potential change in market direction, it means short time frame or current time frame changed its direction to opposite side.
Divergence Indicator Multi [TradingFinder] MACD AO RSI DIV Chart🔵 Introduction
🟣 What is Divergence in Financial Markets?
Divergence in technical analysis happens when the price of a stock moves in a direction opposite to certain indicators. This is a crucial concept in financial markets as it can signal either a trend reversal or a continuation of the current correction in the trend. Understanding divergence helps traders and analysts make more informed decisions.
🟣 Positive Regular Divergence (RD+)
A positive regular divergence occurs at the end of a downtrend, where two price lows form. This divergence appears when the price chart shows a new low, but the indicator does not follow, signaling potential buying opportunities.
Positive divergence indicates increased buying pressure and reduced selling pressure, making it a useful signal for forecasting price increases.
🟣 Negative Regular Divergence (RD-)
A negative regular divergence is seen during an uptrend when two price highs form. The price chart records a new high, but the indicator does not reflect this change, suggesting that a market downturn is likely.
This type of divergence shows strong selling pressure and weaker buying activity, which can help identify selling opportunities.
Both positive and negative divergences are powerful tools for identifying potential trend reversals and key support and resistance levels. For example, when an indicator trends upward while the price moves downward, this creates divergence, warning traders to reconsider their investment strategy.
🟣 Different Types of Divergence in Trading
1. Regular Divergence :
o Positive Regular Divergence (RD+)
o Negative Regular Divergence (RD-)
2. Hidden Divergence :
o Positive Hidden Divergence (HD+)
o Negative Hidden Divergence (HD-)
3.Time Divergence.
Note : This guide focuses specifically on Regular Divergence.
🟣 What is Regular Divergence?
Regular Divergence, often referred to as convergence, occurs when price action and indicators show conflicting patterns, usually signaling the end of a trend. Detecting regular divergence helps traders anticipate potential trend reversals or the formation of reversal patterns.
🔵 How to Use
To optimize the detection of divergence, you can adjust the Fractal Period to specify the length of time for identifying divergence patterns.
Additionally, with the Divergence Detection Method, you can select oscillators like the MACD, RSI, or AO to base divergence detection on.
Divergence in MACD :
MACD divergence occurs when the price chart forms an opposite pattern compared to the MACD line, indicating a potential price reversal.
Divergence in RSI :
In a downtrend, if the price chart forms two consecutive lows with the second lower than the first, but the RSI shows two lows with the second higher, this indicates positive regular divergence, which is a buy signal.
On the other hand, during an uptrend, if the price forms two highs with the second higher than the first, but the RSI shows the second high lower, this points to negative regular divergence, indicating a sell signal.
Divergence in AO (Awesome Oscillator) :
The AO indicator calculates histograms using the difference between 5-period and 34-period simple moving averages. It compares peaks and troughs of these histograms with price movements, detecting divergence and plotting lines and arrows to signal divergence.
🔵 Table
The following table breaks down the main features of the oscillator. It covers four critical categories: Exist, Consecutive, Divergence Quality, and Change Phase Indicator.
Exist : If divergence is detected, a "+" will appear in this row.
Consecutive: Shows the number of consecutive divergences that have formed in a short period.
Divergence Quality : Evaluates the quality of the divergence based on the number of occurrences. One is labeled "Normal," two are "Good," and three or more are considered "Strong."
Change Phase Indicator : If a phase change is detected between two oscillation peaks, this is marked in the table.
RSI & Volume Impact Analyzer Ver.1.00Description:
The RSI VOL Score indicator combines the Relative Strength Index (RSI) and volume data through a mathematical calculation to assist traders in identifying and confirming potential trend reversals and continuations. By leveraging both momentum (RSI) and volume data, this indicator provides a more comprehensive view of market strength compared to using RSI or volume alone.
How It Works:
This indicator calculates a score by comparing the RSI against its moving average, adjusted by the volume data. The resulting score quantifies market momentum and strength. When the score crosses its signal line, it may indicate key moments where the market shifts between bullish and bearish trends, potentially helping traders spot these changes earlier.
Calculation Methods:
The RSI VOL Score allows users to select between several calculation methods to suit their strategy:
SMA (Simple Moving Average): Provides a balanced smoothing approach.
EMA (Exponential Moving Average): Reacts more quickly to recent price changes, offering faster signals.
VWMA (Volume Weighted Moving Average): Emphasizes high-volume periods, focusing on stronger market moves.
WMA (Weighted Moving Average): Applies greater weight to recent data for a more responsive signal.
What the Indicator Plots:
Score Line: Represents a combined metric based on RSI and volume, helping traders gauge the overall strength of the trend.
Signal Line: A smoothed version of the score that helps traders identify potential trend changes. Bullish signals occur when the score crosses above the signal line, while bearish signals occur when the score drops below.
Key Features:
Trend Identification: The score and signal line crossovers can help confirm emerging bullish or bearish trends, allowing traders to act on upward or downward momentum.
Customizable Settings: Traders can adjust the lengths of the RSI and signal line and choose between different moving averages (SMA, EMA, VWMA, WMA) to tailor the indicator to their trading style.
Timeframe-Specific: The indicator works within the selected timeframe, ensuring accurate trend analysis based on the current market context.
Practical Use Cases:
Trending Markets: In trending markets, this indicator helps confirm bullish or bearish signals by validating price moves with volume. Traders can use the crossover of the score and signal line as a guide for entering or exiting trades based on trend strength.
Ranging Markets: In ranging markets, the indicator helps filter out false signals by confirming if price movements are backed by volume, making it a useful tool for traders looking to avoid entering during weak or uncertain market conditions.
Interpreting the Score and Signal Lines:
Bullish Signal: A bullish signal occurs when the score crosses above the signal line, indicating a potential upward trend in momentum and price.
Bearish Signal: A bearish signal is generated when the score crosses below the signal line, suggesting a potential downward trend or weakening market momentum.
By mathematically combining RSI and volume data into a single trend score, the RSI VOL Score indicator provides traders with a powerful tool for identifying trend shifts early and making more confident trading decisions.
Important Note:
The signals generated by this indicator should be interpreted in conjunction with other analysis tools. It is always advisable to confirm signals before making any trading decisions.
Disclaimer:
This indicator is designed to assist traders in their decision-making process and does not provide financial advice. The creators of this tool are not responsible for any financial losses or trading decisions made based on its signals. Trading involves significant risk, and users should seek professional advice or conduct their own research before making any trading decisions.
Stochastic RMIThe Relative Momentum Index (RMI) is a technical analysis indicator used to analyze the price movements of assets in a financial market. Similar to the RSI (Relative Strength Index), it helps measure the momentum and strength of the asset's price movements over the recent period. However, the RMI offers a "smoother" view, unlike the RSI. This means that there is less "noise" in the indicator.
As is known, the Stochastic RSI indicator is based on the RSI. What I did was to create a stochastic based on the RMI. If you compare this indicator with the "Stochastic RSI", you will see that there is no difference between them, except that the "Stochastic RMI" is more "smooth" and noiseless.
Trend Following Composite Index ( TFCI ) 🏆 Trend Following Composite Index (TFCI) 🏆
Overview 🔎
The Trend Following Composite Index (TFCI) is designed to provide traders with a comprehensive view of market trends by combining several technical indicators in a single, unified tool. Each component brings its unique perspective, and together they create a well-rounded signal that may help traders better understand the current market condition. TFCI simplifies the decision-making process by aggregating these signals into one easy-to-read confidence percentage, allowing traders to quickly gauge whether the market is trending upwards, downwards, or is in a period of indecision.
Combining Multiple Indicators for a Unique Edge 🔀
TFCI integrates six different technical indicators, each tuned to capture distinct aspects of market behavior. Rather than relying on any single indicator, TFCI merges their signals into one, providing a more nuanced and potentially more reliable view of the market. This combination helps reduce the weaknesses inherent in any one indicator, offering a more balanced and holistic trend signal.
RSI Filter: The RSI helps identify potential overbought or oversold conditions, but when used alone, it can generate false signals. In TFCI, the RSI is smoothed and combined with other metrics to avoid reacting to small fluctuations, making the signals more robust.
Kijun-Based Band: This component, inspired by the Kijun-sen line from the Ichimoku system, defines adaptive price bands based on market equilibrium. When combined with a smoothing filter, it provides traders with clear visual cues for potential trend reversals, reducing the guesswork.
Boosted Moving Average: By combining short- and long-term EMAs, this component reacts quickly to price changes, while the "boost" factor enhances its ability to confirm trends early. This combination helps filter out market noise, making it easier to spot genuine trend shifts.
Deviation Condition: This proprietary moving average adjusts dynamically based on volatility, which means it adapts to fast-changing market conditions. By adjusting its sensitivity based on market deviations, it helps smooth out erratic price movements, creating clearer trend signals.
VWTSI (Volume-Weighted Trend Strength Indicator): Volume is an essential factor in confirming trends. This indicator looks at price movements in relation to volume to assess the strength of the trend. By factoring in volatility, it ensures that traders are focusing on the strongest market moves, further enhancing the reliability of the signals.
Supertrend: A volatility-based trailing stop that defines buy and sell points. Its role in TFCI is to help maintain positions during trending markets while avoiding premature exits due to minor pullbacks.
A Streamlined Confidence Signal 🧮
One of the main advantages of TFCI is that it simplifies the multitude of signals into one easy-to-read confidence percentage. The aggregation of multiple indicators means that no single indicator drives the signal; instead, the combined analysis ensures that only when several conditions align do you get a clear trend indication. This reduces false positives and gives traders a more confident view of the overall market direction.
Bullish signals from several components push the percentage higher.
Bearish signals lower the percentage.
A neutral score indicates indecision, signaling a potential range-bound or consolidating market.This consolidated signal allows traders to make quicker decisions without having to interpret several individual indicators, making the tool more user-friendly and practical for daily trading.
Why TFCI’s Combination is Unique and Useful 🔍
What makes TFCI stand out is how each of these indicators works together to offer a more comprehensive view of the market:
Reduced Noise: By combining multiple indicators, TFCI reduces the likelihood of acting on false signals. The integration of smoothing mechanisms and volume-based confirmations further increases signal reliability.
More Balanced Analysis: Using indicators that analyze price, volume, volatility, and trend strength, TFCI provides a balanced view of market conditions. Traders can trust that the signal reflects multiple facets of the market rather than just one aspect, making it more adaptable to different market environments.
Easier to Read: Instead of juggling multiple charts or relying on complex setups, TFCI combines everything into one clear percentage and visual signal. This saves time and reduces the complexity of decision-making.
Tested Across Market Conditions 📅
While no indicator can predict the future, TFCI has been tested in a range of market conditions. Its ability to adapt to different environments (trending, volatile, or range-bound) makes it a versatile tool, though like any technical tool, it should be used alongside other forms of analysis and risk management.
Custom Display Options for Readability 📊
To make TFCI even more versatile, it includes two display modes:
Table Mode: This mode breaks down the signals from each component, showing traders exactly how each element is contributing to the overall confidence score. Ideal for those who want to dig deeper into the details.
Gauge Mode: A simplified visual display, perfect for traders who want a quick, at-a-glance view of market conditions.
Color Blindness Mode 🌈
TFCI also includes several color palettes for traders affected by color blindness, ensuring everyone can easily interpret the signals.
Conclusion 🔒
TFCI brings together multiple technical indicators in a unique way that aims to improve trend detection by providing a balanced and easy-to-read signal. Its proprietary adjustments and combination of price, volume, and volatility indicators offer a comprehensive view of market conditions, making it a valuable tool for traders of all experience levels. However, it is essential to remember that no past performance can guarantee future results.
Relative Strength Index Custom [BRTLab]RSI Custom — Strategy-Oriented RSI with Multi-Timeframe Precision
The Relative Strength Index Custom is designed with a focus on developing robust trading strategies. This powerful indicator leverages the logic of calculating RSI on higher timeframes (HTFs) while allowing traders to execute trades on lower timeframes (LTFs). Its unique ability to extract accurate RSI data from higher timeframes without waiting for those candles to close provides a real-time advantage, eliminating the "look-ahead" bias that often
distorts backtest results.
Key Features
Multi-Timeframe RSI for Strategy Development
This indicator stands out by allowing you to calculate RSI on higher timeframes, even while operating on lower timeframe charts. This means you can, for example, calculate RSI on the 1-hour or daily chart and execute trades on a 1-minute chart without needing to wait for the higher timeframe candle to close. This feature is crucial for strategy-building as it eliminates backtesting issues where data from the future is inadvertently used, providing more reliable backtest results.
Example: On a 15-minute chart, you can use the 1-hour RSI to open positions based on higher timeframe momentum, but you get this signal in real-time, improving timing and accuracy.
Accurate Data Extraction from Higher Timeframes
The indicator's custom logic ensures that accurate RSI data is retrieved from higher timeframes, providing an edge by delivering timely information for lower timeframe decisions. This prevents delayed signals often encountered when waiting for higher timeframe candles to close, which is crucial for high-frequency and intraday traders looking for precise entries based on multi-timeframe data.
Customizable RSI Settings for Strategy Tuning
The script offers full customization of the RSI, including length and source price (close, open, high, or low), allowing traders to tailor the RSI to fit specific trading strategies. These settings are housed in the "RSI Settings" section, enabling precise adjustments that align with your overall strategy.
No Future-Looking in Backtests
Traditional backtests often suffer from "future-looking" bias, where calculations unintentionally use data from candles that haven’t yet closed. This indicator is specifically designed to prevent such issues by calculating RSI values in real-time. This is particularly important when creating and testing strategies, as it ensures that the conditions under which trades would have been made are accurately represented in historical tests.
RSI-Based Moving Average for Additional Filtering
The built-in moving average (MA) based on RSI values helps filter out noise, making it easier to identify genuine trend shifts. This is particularly useful in strategies where moving average crossovers act as additional confirmation for trade entries and exits.
Overbought and Oversold Zone Detection
Visual gradient fills on the RSI chart help traders identify overbought and oversold zones (above 70 and below 30, respectively). These zones are crucial for timing reversal trades or confirming momentum-based strategies.
How This Indicator Enhances Your Strategy
Increased Accuracy for Intraday Strategies
For traders who operate on lower timeframes, using higher timeframe RSI data gives a broader perspective of market momentum while still maintaining precision for short-term trade entries. The real-time data extraction means you don't need to wait for HTF candles to close, which can dramatically improve your entry timing.
Strategic Edge in Backtesting
One of the greatest challenges in backtesting strategies is avoiding future-looking bias. This indicator is built to overcome this by using real-time multi-timeframe data, ensuring the accuracy and reliability of historical strategy testing, which provides confidence in your strategies when applied to live markets.
Advanced Filtering for Trend Strategies
By combining the RSI values with a customizable moving average (MA) and visualizing key momentum zones with overbought/oversold fills, the indicator allows for more refined trade filters. This ensures that signals generated by your strategy are based on solid momentum data and not short-term price fluctuations.
BRT MACD CustomBRT MACD Custom — Adaptive and Flexible MACD for Multi-Timeframe Analysis
The BRT MACD Custom is an advanced version of the traditional MACD indicator, offering additional flexibility and adaptability for multi-timeframe trading. This custom script allows traders to adjust the calculation parameters for MACD to suit their specific trading strategy, timeframe, and market conditions.
Key Features
Multi-Timeframe Support
Unlike the standard MACD, this indicator lets you choose a specific timeframe (different from the chart timeframe) for calculating MACD values. This feature provides more flexibility in analyzing market trends on multiple timeframes without changing the main chart.
Example: You can analyze MACD on a 15-minute timeframe even when your chart is set to 1-minute, giving you broader market insights.
Customizable EMA and Signal Settings
Users can adjust the fast and slow EMA lengths as well as the signal smoothing to better align with their preferred trading strategies. The script allows switching between the two popular types of moving averages — SMA or EMA — for both the MACD and the signal line.
Volatility-Based Adaptive EMA
The script includes an adaptive mechanism for EMA calculation. When the selected timeframe closes, the indicator dynamically adjusts the calculation, ensuring the MACD values respond quickly to market volatility. This makes the indicator more reactive compared to static MACD implementations.
Shift Options for MACD, Signal, and Histogram
The indicator allows shifting the MACD, signal line, and histogram values by one or more bars. This can be useful for backtesting and simulating strategies where you anticipate future price movements.
Signal Alerts for Long and Short Trades
The script generates visual signals when certain conditions are met, indicating potential long or short trade opportunities. These signals are based on MACD and histogram crossovers:
Long Signal: Triggered when MACD is above the signal line and both are rising.
Short Signal: Triggered when MACD is below the signal line and both are falling.
Custom Plotting
The MACD line, signal line, and histogram are plotted on the chart for easy visualization. The histogram changes colors to reflect positive or negative momentum:
Green shades when MACD is above the signal line.
Red shades when MACD is below the signal line.
Applications in Trading
The BRT MACD Custom is ideal for traders who need flexibility in their technical analysis. Its multi-timeframe capabilities and customizable moving averages make it suitable for day trading, swing trading, and long-term investing across a variety of markets.
Scalping: Use the 1-minute or 5-minute timeframe to identify short-term trends while calculating MACD on a higher timeframe such as 15 or 30 minutes.
Swing Trading: Apply the indicator on 1-hour or 4-hour charts to detect mid-term trends.
Long-Term Investing: Analyze daily or weekly charts with longer EMA periods to confirm market direction before making large investments.
