Quantum RCIThe Quantum RCI is a proprietary, multi-layered technical indicator designed to provide traders with adaptive and precise market insights.
Osciladores
Super Investor Club SMA RSI Trailing Stop for SPXOptimized for SPX, credit goes to Sean Seah Weiming
Key Features
Inputs:
smaLength: Length of the SMA (200 by default).
rsiLength: Length of the RSI calculation (14 by default).
rsiThreshold: RSI value below which entries are considered (40 by default).
trailStopPercent: Trailing stop loss percentage (5% by default).
waitingPeriod: The number of days to wait after an exit before entering again (10 days by default).
200 SMA and RSI Calculation:
Calculates the 200-period SMA of the closing price.
Computes the RSI using the given rsiLength.
Conditions for Entry:
A "buy" signal is triggered when:
The closing price is above the 200 SMA.
The RSI is below the defined threshold.
The waiting period since the last exit has elapsed.
Trailing Stop Loss:
When in a long position, the trailing stop price is adjusted based on the highest price since entry and the specified percentage.
Exit Conditions:
A sell signal is triggered when:
The price falls below the trailing stop price.
The price falls below the 200 SMA.
Visualization:
The 200 SMA is plotted on the chart.
"BUY" and "SELL" signals are marked with green and red labels, respectively.
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The PGO For Loop indicator, inspired by Alex Orekhov's "Pretty Good Oscillator," and indicator originally made by Mark Johnson, the PGO designed as a fast and responsive tool to capture quick price movements in financial markets.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.
cRSI AI [ZZZ]The cRSI AI with Dashboard is a versatile Pine Script indicator tailored for advanced technical analysis. It combines multiple analytical components including Relative Strength Index (RSI), dominant cycle detection, moving averages with Bollinger Bands, and trend/volume-based filters, to deliver an all-encompassing view of market conditions. Additionally, it includes divergence detection and visualization features for trend reversal signals. The indicator is equipped with customizable settings for a personalized user experience.
Key Features:
1. RSI-Based Analysis:
• Adjustable RSI length and source input.
• Customizable overbought and oversold levels.
• Visual enhancements including gradient fills for overbought/oversold zones.
2. Dominant Cycle Detection:
• Identifies dominant cycles over user-defined ranges.
• Utilizes higher timeframes for cycle correlation and advanced smoothing techniques.
• Visualized with background fills for cycle clarity.
3. Moving Averages & Bollinger Bands:
• Supports multiple types of moving averages (SMA, EMA, WMA, SMMA, VWMA).
• Optional Bollinger Bands integration for volatility tracking.
• Dynamic visualization of moving average and band zones.
4. Trend and Volume Filters:
• ADX-based trend detection with configurable thresholds.
• Volume filters to confirm high-volume breakout opportunities.
• Real-time dynamic coloring for bullish and bearish trend visualization.
5. Divergence Detection:
• Auto and manual lookback modes for divergence calculation.
• Identifies both regular and hidden bullish/bearish divergences.
• Configurable lookback ranges to suit trading preferences.
This indicator integrates visual aids like background fills and color coding, enhancing readability and decision-making. With its comprehensive settings and visualization options, it caters to both novice traders seeking simplicity and experts requiring in-depth market insights.
Mayfair Fx Scalper V8 By EWCMayfair Fx Scalper V8 By EWC
The Mayfair Fx Scalper V8 By EWC is an advanced trading algorithm designed for intraday scalping with a focus on exhaustion reversal signals. The algorithm combines a powerful Smart Money Concepts (SMC) strategy to identify precise entry and exit points. It integrates customizable features for stop loss, take profit, and the ability to toggle different strategies on and off, allowing users to personalize their trading experience.
Key Features:
Exhaustion Reversal Signals: The algorithm identifies market exhaustion points, generating accurate reversal signals based on price action. This allows for optimal entry points with clear stop loss and take profit levels.
Example of Exhaustion Reversal Signal:
Smart Money Concepts (SMC): By incorporating SMC principles, this algorithm enhances its ability to detect market shifts and trends, improving accuracy in entry and exit decisions.
Example of SMC-based entry:
Customizable Settings: The algorithm features easy-to-use toggle buttons, allowing traders to enable or disable specific features. Users can activate or deactivate the exhaustion reversal signals, SMC strategy, and other customizable options to fine-tune their trading approach.
Stop Loss and Take Profit Management: Integrated risk management with user-defined stop loss and take profit levels ensures better control over trade outcomes, based on a customizable risk-to-reward ratio.
Example of a trade with stop loss and take profit:
Why Choose Mayfair Fx Scalper V8 By EWC?
This algorithm is ideal for traders seeking an edge in the market, combining sophisticated market analysis with advanced customization options. Whether you prefer automated trading or manual fine-tuning, Mayfair Fx Scalper V8 By EWC provides the tools you need to execute trades with precision and flexibility.
Dynamic Grid Trend Following SystemDynamic Grid Trend Following System
This strategy is an automated trading system that uses a combination of grid trading and trend-following techniques to capture market opportunities efficiently. Here’s how it works:
Key Features:
1. Grid System:
• It creates predefined price levels (grids) to execute buy (long) or sell (short) orders.
• Grid levels can be static (fixed price intervals) or dynamic, based on volatility using the ATR (Average True Range) indicator.
2. Trend Detection:
• It uses the Ichimoku Cloud, ADX (Average Directional Index), and Inverse Fisher RSI to determine the market’s direction (uptrend, downtrend, or sideways).
• Based on these indicators, the strategy switches between Long Mode, Short Mode, or Neutral Mode.
3. Modes of Operation:
• Neutral Mode: When the market is range-bound or lacks a clear trend, the strategy avoids unnecessary trades and waits for a breakout.
• Long Mode: If the market is trending upward (price above Ichimoku cloud, ADX strong, and RSI positive), the strategy places buy orders at grid levels.
• Short Mode: If the market is trending downward (price below Ichimoku cloud, ADX strong, and RSI negative), the strategy places sell orders at grid levels.
4. Risk Management:
• Controls maximum risk per trade based on equity percentage.
• Limits the number of open positions and ensures minimum position sizes.
• Uses stop-loss, trailing stop, and take-profit levels calculated with ATR.
5. Volume Filtering:
• Ensures trades are only executed when market volume is sufficiently high, avoiding low-liquidity conditions.
6. Partial Profit-Taking (Optional):
• Allows taking partial profits at certain levels while letting the remaining position run for more gains.
Exit Conditions:
• Positions are closed based on:
• Reversal signals (e.g., trend direction changes).
• ATR-based trailing stop or minimum profit targets.
• Time-based exit after a specified number of bars.
• Partial exits, if enabled.
Visualization:
• The strategy plots key indicators, grid levels, and trigger prices on the chart.
• It displays the current mode (Long, Short, or Neutral) and indicator values like ADX and RSI for better understanding.
Purpose:
The Dynamic Grid Trend Following System is designed to:
• Capture both trending and range-bound market opportunities.
• Minimize risks by adapting dynamically to market conditions.
• Automate trading decisions for consistency and efficiency.
This strategy is ideal for traders looking for a systematic approach that combines advanced trend detection with robust risk managemen
JoGeilo RSI Divergence Indicator with EMA FilterAn RSI indicator that can show divergences and filter them.
EMA filter:
The filter shows the bearish divergences above the EMA as a possible trend reversal and hidden bullish divergences as a trend continuation. The bullish divergences and hidden bearish divergences change to gray. Exactly the opposite happens when the price is below the EMA. This allows you to concentrate on the relevant divergences in the direction of the trend. The length of the EMA can be defined by yourself. The filter can also be reversed.
Explanation:
Regular (normal) divergences: Can be interpreted as an indication of an impending trend change.
Hidden divergences: Are generally seen as trend confirmation and indicate a continuation of the current trend.
I hope the indicator helps you.
Momentum [SpokoStocks]This is a non-repainting simple yet sophisticated indicator designed to help traders identify potential trend changes and momentum shifts in the market. It offers valuable insights that seamlessly can integrate into your existing strategy.
Key Features:
> Momentum-Based Signals:
The indicator utilizes a combination of Bollinger Bands and Keltner Channels to highlight key momentum shifts. It identifies when the market may be entering a new phase, providing insight into potential buying or selling opportunities.
> Color-Coded Histogram:
The momentum bars change color dynamically based on momentum direction and strength, allowing you to easily identify bullish or bearish conditions.
> Directional Markers:
Triangular markers appear when momentum crosses above or below zero, signaling momentum shifts.
> Alerts:
Built-in alert conditions notify you when momentum crosses zero, ensuring you never miss a critical market shift. Stay informed even when you're not actively monitoring the chart.
> Customizable Parameters:
Adjust Bollinger Bands and Keltner Channel settings to suit your trading style and timeframe.
Fine-tune signal sensitivity with adjustable input periods to match your preferences.
How to Use It:
> Best for Longer-Term Analysis:
The Momentum Indicator is most effective when used on longer timeframes, such as daily or weekly charts. This allows you to capture significant momentum shifts that align with larger market trends.
> Combine with Other Methods:
For the best results, use this indicator in conjunction with other forms of technical and fundamental analysis, such as support/resistance levels or volume indicators etc. This will provide a comprehensive view of market conditions, increasing the accuracy of your analysis.
Why Choose This Indicator?
The Momentum Indicator simplifies complex market behavior, offering a clear, actionable framework for traders of all levels. With its customizable settings, alerts, and color-coded signals, it is an essential tool for enhancing your market analysis.
Risk Disclaimer:
The information provided by this script is for educational and informational purposes only. It is not intended as financial advice and should not be construed as such. All trading and investment activities involve a high level of risk and may result in the loss of capital. The user is solely responsible for any decisions made based on the content provided by this script.
By using this script, you acknowledge and agree that you use it at your own risk. The creator of this script makes no warranties regarding the accuracy, completeness, or reliability of the information, and disclaims any responsibility for any losses or damages arising from its use.
Always conduct your own research and consult with a qualified financial advisor before making any investment decisions.
DMI Candles ColoredThe DMI Candles Colored indicator colors the candles based on directional momentum derived from the DMI.
- Green : Bullish momentum.
- Red : Bearish momentum.
- Purple : Neutral phase, indicating a slowdown in volatility, which helps identify accumulation and distribution phases.
RSI Crossover Signals_Ambrishit is a indicator which uses rsi in which we long when rsi crosses above 60 and short when rsi closes below 40
Guru RSI TableRSI Table displays the RSI values from 5Mins to 1 Month based on the script you select along with the following colors
RSI > 50, Light Green
RSI > 60, Dark Green
RSI < 40, Light Red
RSI < 30, Dark Red
RSI 40 to 50, Black
SMA+BB+PSAR+GOLDEN AND DEATH CROSSSMA 5-8-13-21-34-55-89-144-233-377-610
BB 20-2
PSAR Parabolik SAR, alış satış analizini güçlendiren bir indikatördür. Bu gösterge temelde durdurma ve tersine çevirme sinyalleri için kullanılır. Teknik yatırımcılar trendleri ve geri dönüşleri tespit etmek için bu indikatörden faydalanır.
GOLDEN AND DEATH CROSS 50X200 KESİŞİMİ YADA NE İSTERSENİZ
Systematic Risk Aggregation ModelThe “Systematic Risk Aggregation Model” is a quantitative trading strategy implemented in Pine Script™ designed to assess and visualize market risk by aggregating multiple financial risk factors. This model uses a multi-dimensional scoring approach to quantify systemic risk, incorporating volatility, drawdowns, put/call ratios, tail risk, volume spikes, and the Sharpe ratio. It derives a composite risk score, which is dynamically smoothed and plotted alongside adaptive Bollinger Bands to identify trading opportunities. The strategy’s theoretical framework aligns with modern portfolio theory and risk management literature (Markowitz, 1952; Taleb, 2007).
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Key Components of the Model
1. Volatility as a Risk Proxy
The model calculates the standard deviation of the closing price over a specified period (volatility_length) to quantify market uncertainty. Volatility is normalized to a score between 0 and 100, using its historical minimum and maximum values.
Reference: Volatility has long been regarded as a critical measure of financial risk and uncertainty in capital markets (Hull, 2008).
2. Drawdown Assessment
The drawdown metric captures the relative distance of the current price from the highest price over the specified period (drawdown_length). This is converted into a normalized score to reflect the magnitude of recent losses.
Reference: Drawdown is a key metric in risk management, often used to measure potential downside risk in portfolios (Maginn et al., 2007).
3. Put/Call Ratio as a Sentiment Indicator
The strategy integrates the put/call ratio, sourced from an external symbol, to assess market sentiment. High values often indicate bearish sentiment, while low values suggest bullish sentiment (Whaley, 2000). The score is normalized similarly to other metrics.
4. Tail Risk via Modified Z-Score
Tail risk is approximated using the modified Z-score, which measures the deviation of the closing price from its moving average relative to its standard deviation. This approach captures extreme price movements and potential “black swan” events.
Reference: Taleb (2007) discusses the importance of considering tail risks in financial systems.
5. Volume Spikes as a Proxy for Market Activity
A volume spike is defined as the ratio of current volume to its moving average. This ratio is normalized into a score, reflecting unusual trading activity, which may signal market turning points.
Reference: Volume analysis is a foundational tool in technical analysis and is often linked to price momentum (Murphy, 1999).
6. Sharpe Ratio for Risk-Adjusted Returns
The Sharpe ratio measures the risk-adjusted return of the asset, using the mean log return divided by its standard deviation over the same period. This ratio is transformed into a score, reflecting the attractiveness of returns relative to risk.
Reference: Sharpe (1966) introduced the Sharpe ratio as a standard measure of portfolio performance.
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Composite Risk Score
The composite risk score is calculated as a weighted average of the individual risk factors:
• Volatility: 30%
• Drawdown: 20%
• Put/Call Ratio: 20%
• Tail Risk (Z-Score): 15%
• Volume Spike: 10%
• Sharpe Ratio: 5%
This aggregation captures the multi-dimensional nature of systemic risk and provides a unified measure of market conditions.
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Dynamic Bands with Bollinger Bands
The composite risk score is smoothed using a moving average and bounded by Bollinger Bands (basis ± 2 standard deviations). These bands provide dynamic thresholds for identifying overbought and oversold market conditions:
• Upper Band: Signals overbought conditions, where risk is elevated.
• Lower Band: Indicates oversold conditions, where risk subsides.
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Trading Strategy
The strategy operates on the following rules:
1. Entry Condition: Enter a long position when the risk score crosses above the upper Bollinger Band, indicating elevated market activity.
2. Exit Condition: Close the long position when the risk score drops below the lower Bollinger Band, signaling a reduction in risk.
These conditions are consistent with momentum-based strategies and adaptive risk control.
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Conclusion
This script exemplifies a systematic approach to risk aggregation, leveraging multiple dimensions of financial risk to create a robust trading strategy. By incorporating well-established risk metrics and sentiment indicators, the model offers a comprehensive view of market dynamics. Its adaptive framework makes it versatile for various market conditions, aligning with contemporary advancements in quantitative finance.
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References
1. Hull, J. C. (2008). Options, Futures, and Other Derivatives. Pearson Education.
2. Maginn, J. L., Tuttle, D. L., McLeavey, D. W., & Pinto, J. E. (2007). Managing Investment Portfolios: A Dynamic Process. Wiley.
3. Markowitz, H. (1952). Portfolio Selection. The Journal of Finance, 7(1), 77–91.
4. Murphy, J. J. (1999). Technical Analysis of the Financial Markets. New York Institute of Finance.
5. Sharpe, W. F. (1966). Mutual Fund Performance. The Journal of Business, 39(1), 119–138.
6. Taleb, N. N. (2007). The Black Swan: The Impact of the Highly Improbable. Random House.
7. Whaley, R. E. (2000). The Investor Fear Gauge. The Journal of Portfolio Management, 26(3), 12–17.
Multi Timeframe Trend Scanner [by DanielM]
Multi Timeframe Trend Scanner is an advanced trading tool meticulously engineered for traders who demand comprehensive market insights across multiple symbols and customizable timeframes. Whether you're trading Forex or focusing on high-volatility instruments like NAS100, BTC, US30, and more, this scanner empowers you to make informed trading decisions with unparalleled accuracy and flexibility.
Key Features:
Customizable Timeframes: Tailor the scanner to your unique trading style by selecting from a range of customizable timeframes. Whether you prefer short-term analysis with 15-minute charts or long-term insights with daily charts, the indicator adapts to your specific needs, ensuring you capture both rapid market movements and sustained trends.
Comprehensive Multi-Symbol Monitoring: Effortlessly track up to 10 different symbols simultaneously. The indicator consolidates your favorite instruments into a single, organized interface, eliminating the need to juggle multiple charts and enhancing your ability to monitor diverse markets efficiently.
Intelligent Trend Detection: Harness the power of sophisticated algorithms to identify strong bullish and bearish trends across all selected timeframes. The scanner analyzes key technical indicators to deliver precise trend signals, ensuring you stay ahead of market movements and capitalize on high-probability trading opportunities.
Dynamic Candle Coloring: Visualize market trends instantly with intelligent candle coloring providing a clear and immediate indication of market sentiment
Alert System: Stay informed with real-time notifications tailored to your trading strategy. Activate alerts to be notified when all selected timeframes for a symbol indicate a strong bullish or bearish trend, ensuring you never miss a critical trading opportunity. The scanner's alert system is fully customizable, allowing you to control the types of alerts you receive based on your preferences.
Optimized for Active Traders: Whether you're a day trader, swing trader, or long-term investor, this scanner is optimized to meet the needs of active traders. Its robust functionality and efficient performance support dynamic trading environments and fast-paced markets, providing you with the tools needed to thrive in any trading scenario.
Why Choose Multi Timeframe Trend Scanner?
Enhanced Decision-Making: Eliminate the guesswork from your trading strategy. With precise trend signals across multiple timeframes and symbols, you can make well-informed decisions with confidence, knowing that you're backed by comprehensive market analysis.
Increased Trading Efficiency: Save valuable time by consolidating your market analysis into a single, easy-to-use tool. Focus more on executing trades and less on managing multiple charts and indicators, boosting your overall trading productivity.
Maximized Profit Potential: By identifying strong trends early and receiving timely alerts, you can capitalize on high-probability trading opportunities, enhancing your potential for consistent profitability while effectively managing risks.
Flexibility and Customization: Tailor the scanner to fit your unique trading style and preferences. Adjust the symbols, timeframes, and alert settings to align perfectly with your trading strategy, ensuring optimal performance and adaptability to varying market conditions.
How It Works:
The indicator operates by continuously analyzing selected symbols across multiple, customizable timeframes using a proprietary combination of technical indicators. When the scanner detects that all specified timeframes for a symbol are signaling a strong bullish or bearish trend, it triggers an alert, notifying you of a potential trading opportunity. Additionally, dynamic candle coloring provides immediate visual cues about market sentiment, allowing you to quickly assess and act on the information provided.
Higher Timeframe Stochastics with Slope Color（HTF Stochastics）This script displays the Stochastics value of a user-defined higher timeframe and optionally colors the plot based on its slope.
Features:
Displays the Stochastics value from a selected higher timeframe. This allows you to see the higher timeframe Stochastics without switching timeframes.
Colors the Stochastics plot based on its slope compared to the previous value
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を表示し、オプションとしてその傾きに基づいてプロットに色を付けます。
特徴:
選択した上位時間足のストキャスティクスを表示します。これにより、時間足を切り替えることなく、上位足のストキャスティクスを確認できます。
ストキャスティクスのプロットを、前回の値と比較した傾きに基づいて色付けします。
Currency Strength [Linniu Edit]The Currency Strength indicator is a versatile tool designed to analyze and compare the relative strength of major currencies in the forex market. By aggregating price movements across multiple currency pairs, this indicator provides a clear visualization of which currencies are gaining or losing strength relative to others.
MACD y RSI CombinadosMACD y RSI Combinados – Indicador de Divergencias y Tendencias** Este indicador combina dos de los indicadores más populares en análisis técnico: el **MACD ( Media Móvil Convergencia Divergencia)** y el **RSI (Índice de Fuerza Relativa)**. Con él, podrás obtener señales de tendencia y detectar posibles puntos de reversión en el mercado. ### Características: - **RSI (Índice de Fuerza Relativa)**: - **Longitud configurable**: Ajusta el periodo del RSI según tu preferencia. - **Niveles de sobrecompra y sobreventa**: Personaliza los niveles 70 y 30 para detectar condiciones extremas. - **Divergencias**: Calcula divergencias entre el RSI y el precio para identificar posibles cambios de dirección. Las divergencias alcistas y bajistas se muestran con líneas y etiquetas en el gráfico.
DRSI by Cryptos RocketDRSI by Cryptos Rocket - Relative Strength Index (RSI) Indicator with Enhancements
This script is a custom implementation of the Relative Strength Index (RSI) indicator, designed with several advanced features to provide traders with additional insights. It goes beyond the traditional RSI by including moving averages, Bollinger Bands, divergence detection, dynamic visualization and improved alert functions.
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Key Features
1. RSI Calculation
The RSI is a momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is calculated as:
• RSI = 100−(1001+Average GainAverage Loss)100 - \left( \frac{100}{1 + \frac{\text{Average Gain}}{\text{Average Loss}}} \right)
This script allows users to:
• Set the RSI length (default: 14).
• Choose the price source for calculation (e.g., close, open, high, low).
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2. Dynamic Visualization
• Background Gradient Fill:
o Overbought zones (above 70) are highlighted in red.
o Oversold zones (below 30) are highlighted in green.
• These gradients visually indicate potential reversal zones.
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3. Moving Averages
The script provides a range of moving average options to smooth the RSI:
• Types: SMA, EMA, SMMA (RMA), WMA, VWMA, and SMA with Bollinger Bands.
• Customizable Length: Users can set the length of the moving average.
• Bollinger Bands: Adds standard deviation bands around the SMA for volatil
ity analysis.
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4. Divergence Detection
This feature identifies potential price reversals by comparing price action with RSI behavior:
• Bullish Divergence: When price forms lower lows but RSI forms higher lows.
• Bearish Divergence: When price forms higher highs but RSI forms lower highs.
Features include:
• Labels ("Bull" and "Bear") on the chart marking detected divergences.
• Alerts for divergences synchronized with plotting for timely notifications.
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5. Custom Alerts
The script includes alert conditions for:
• Regular Bullish Divergence
• Regular Bearish Divergence
These alerts trigger when divergences are detected, helping traders act promptly.
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Customization Options
Users can customize various settings:
1. RSI Settings:
o Length of the RSI.
o Price source for calculation.
o Enable or disable divergence detection (enabled by default).
2. Moving Average Settings:
o Type and length of the moving average.
o Bollinger Band settings (multiplier and standard deviation).
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Use Cases
1. Overbought and Oversold Conditions:
o Identify potential reversal points in extreme RSI zones.
2. Divergences:
o Detect discrepancies between price and RSI to anticipate trend changes.
3. Volatility Analysis:
o Utilize Bollinger Bands around the RSI for added context on market conditions.
4. Trend Confirmation:
o Use moving averages to smooth RSI and confirm trends.
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How to Use
1. Add the indicator to your chart.
2. Customize the settings based on your trading strategy.
3. Look for:
o RSI crossing overbought/oversold levels.
o Divergence labels for potential reversals.
o Alerts for automated notifications.
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DRSI by Cryptos Rocket combines classic momentum analysis with modern tools, making it a versatile solution for technical traders looking to refine their strategies.
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.
Vortex & ADX DIL'indicateur Vortex se compose de deux lignes qui indiquent une tendance haussière (VI+), généralement représentée en vert, et une tendance baissière (VI-), généralement représentée en rouge. Cet indicateur est spécifiquement utilisé pour déterminer les renversements de tendance et confirmer les tendances et la direction actuelles.
Historique
Développé par Etienne Botes et Douglas Siepman, l'indicateur Vortex a été présenté pour la première fois dans l'édition de janvier 2020 du magazine "Technical Analysis of Stocks & Commodities".
Calculs
Le calcul de l'indicateur Vortex s'articule autour de quatre parties principales. Nous examinons ces parties plus en détail ci-dessous.
La plage réelle (TR) est la plus grande des valeurs suivantes :
Haut actuel - bas actuel
Haut actuel - clôture précédente
Plus bas actuel - clôture précédente
Les mouvements haussiers et baissiers peuvent être déterminés à l'aide des calculs de lignes de tendance suivants. Il convient également de noter qu'elles sont généralement affichées sous un graphique en chandelier.
VM+ = valeur absolue du plus haut actuel - plus bas précédent
VM- = valeur absolue du plus bas actuel - plus haut précédent
La longueur du paramètre (n) est le résultat de la préférence du trader. Les traders choisissent généralement des paramètres entre 14 et 30 jours. Les calculs pour la longueur du paramètre sont les suivants :
Somme de la fourchette réelle des n dernières périodes (VM+ et VM-)
Somme de la fourchette réelle des n dernières périodes = SUM TRn
Somme des VM+ des n dernières périodes = SUM VMn+
Somme des VM- des n dernières périodes = SOMME VMn-
Création des lignes de tendance VI+ et VI-. Enfin, les traders devront utiliser les formules suivantes pour calculer les deux lignes de tendance de l'indicateur Vortex. En répétant ce processus quotidiennement, les lignes de tendance se formeront.
VIn+ = SOMME VMn+ / SOMME TRn
VIn- = SOMME VMn- / SOMME TRn
A retenir et à observer
Il est préférable d'utiliser l'indicateur Vortex avec d'autres indicateurs, outils et modèles de tendances inversées qui aident à soutenir un signal d'inversion.
Les tendances haussières, ou signaux d'achat, se produisent lorsque la ligne VI+ est inférieure à la ligne VI- et qu'elle se croise ensuite au-dessus de la ligne VI- pour former la ligne de tendance supérieure.
Les tendances baissières, ou signaux de vente, se produisent lorsque la ligne VI- est inférieure à la ligne VI+ et qu'elle se croise ensuite au-dessus de la ligne VI+ pour former la ligne de tendance supérieure.
En règle générale, c'est la ligne de tendance supérieure qui détermine la position d'un titre (tendance haussière ou baissière).
Limites
Les traders doivent être vigilants lorsqu'ils utilisent l'indicateur Vortex, car les croisements VI+ et VI- peuvent parfois entraîner le déclenchement d'un certain nombre de faux signaux d'achat ou de vente. C'est particulièrement le cas lorsque l'action des prix est agitée et n'est pas compensée par des indicateurs ou des outils de lissage. Pour remédier à ce problème, de nombreux traders ont trouvé utile d'ajuster les périodes utilisées afin de réduire le nombre de faux signaux. Si c'est votre cas, essayez de modifier les paramètres de votre indicateur et d'ajuster la période pour voir si vous obtenez un meilleur résultat.
Résumé
L'indicateur Vortex est basé sur deux lignes de tendance, VI+ et VI-, qui indiquent respectivement une tendance haussière et une tendance baissière sur le marché actuel. Cet indicateur peut aider à déterminer les renversements de tendance et à confirmer les tendances et la direction actuelles, en mettant en évidence la position des lignes de tendance l'une par rapport à l'autre.
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Average Directional Index (ADX)
See stockcharts.com/school/doku.php?st=adx&id=chart_school:technical_indicators:average_directional_index_adx for detail.
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Je mettrai à jour le script par la suite
Refined RSI-MACD Composite (Buy, Sell, Reversal Signals)Indicator Description: Refined RSI-MACD Composite with Choppiness Filter
The Refined RSI-MACD Composite with Choppiness Filter is a powerful, all-in-one trading tool designed to help traders identify high-probability buy, sell, and reversal opportunities in any market condition. By combining the strengths of multiple indicators, such as RSI, MACD, Stochastic Oscillator, ADX, and the Choppiness Index, this indicator offers a comprehensive view of market trends, momentum, and potential reversals.
Key Features:
1. Buy and Sell Signals:
• Buy Signal (“B”):
• Triggered when momentum indicators (MACD, RSI, and Stochastic) align to suggest a potential upward price movement.
• Works in both trending and less-trending markets, with built-in fallback logic for choppy conditions.
• Sell Signal (“S”):
• Triggered when bearish momentum is detected through a combination of MACD histogram, RSI, and Stochastic conditions.
2. Reversal Signals:
• Bullish Reversal (“R”):
• Highlights oversold conditions where the price may reverse to the upside.
• Based on RSI < 30, Stochastic < 20, or a crossover of MACD histogram into positive territory.
• Bearish Reversal (“R”):
• Identifies overbought conditions where a potential downward reversal is likely.
• Based on RSI > 70, Stochastic > 80, or a crossunder of MACD histogram into negative territory.
3. Choppiness Filter (Optional):
• Filters out false signals in sideways markets by using the Choppiness Index, ensuring signals are only triggered during meaningful trends.
• When enabled, signals are limited to high-probability setups in trending conditions.
4. Signal Cooldown:
• Prevents excessive or overlapping signals by enforcing a cooldown period between triggers, ensuring cleaner and more reliable charting.
Why Use This Indicator?
1. Comprehensive Market Analysis:
• Combines the strengths of momentum, trend, and volatility indicators in one tool.
• Adapts to trending, choppy, or consolidating markets seamlessly.
2. Customizable and Flexible:
• Toggle the Choppiness Filter on/off to suit your trading style.
• Adjustable thresholds for RSI, MACD, and Choppiness Index to fine-tune signal sensitivity.
3. Clear Visual Alerts:
• Neon green (“B”) for Buy signals.
• Neon red (“S”) for Sell signals.
• Neon orange (“R”) for Reversal signals.
4. User-Friendly for All Traders:
• Suitable for intraday, swing, and long-term trading strategies.
• Works across all asset classes, including stocks, forex, crypto, and indices.
How to Use:
1. Buy Signals (“B”):
• Look for Buy signals during uptrends or when price starts recovering from oversold conditions.
• Ideal entry points are confirmed when RSI > 45, MACD histogram > 0, and Stochastic %K > 20.
2. Sell Signals (“S”):
• Use Sell signals to exit long positions or enter shorts in strong downtrends.
• Triggered when RSI < 55, MACD histogram < 0, and Stochastic %K < 80.
3. Reversal Signals (“R”):
• Use Bullish Reversals to anticipate upward reversals in oversold markets.
• Use Bearish Reversals to anticipate downward reversals in overbought markets.
4. Enable/Disable Choppiness Filter:
• Activate the Choppiness Filter to limit signals in sideways markets for more accurate trend-following trades.
Disclaimer:
IMPORTANT! This indicator is a powerful tool to assist in decision-making but should not be used as the sole basis for trading. Always perform your own analysis and manage risks appropriately.
Options Advanced SuperTrendOptions Advanced SuperTrend
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Modified Existing SuperTrend Indicator with tight stoploss. Tested on Options Buying or Options selling.
- It uses, ema, vwap and momentum to improve its accuracy.
- When super trend line goes above and in green color - It gives signal for buying
- When super trend line goes below and in red color - It gives signal for selling
Important Logic to use this indicator
# SuperTrend Line acts as strong stoploss.
# It has three colors - Green, Red , yellow
# GreenShadow - Possible BuyZone - When SuperTrend and EMA is in above direction
# RedShadow - Possible Sell Zone - When SuperTrend and EMA is in down direction
# YellowShadow - Possible Side Zone - When SuperTrend and big ema are not alligned.
# GreenSuperTrendLine - Buy stoploss
# RedSuperTrendLine - Sell stoploss
------ HAPPY TRADING -----
Options Advanced SuperTrendOptions Advanced SuperTrend
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Modified Existing SuperTrend Indicator with tight stoploss.
- It uses, ema, vwap and momentum to improve its accuracy.
# SuperTrend Line acts as strong stoploss.
# It has three colors - Green, Red , yellow
# Green - Possible BuyZone - When SuperTrend and EMA is in above direction
# Red - Possible Sell Zone - When SuperTrend and EMA is in down direction
# Yellow - Possible Side Zone - When SuperTrend and big ema are not alligned.
