Enhanced Price Z-Score OscillatorThe Enhanced Price Z-Score Oscillator by tkarolak is a powerful tool that transforms raw price data into an easy-to-understand statistical visualization using Z-Score-derived candlesticks. Simply put, it shows how far prices stray from their average in terms of standard deviations (Z-Scores), helping traders identify when prices are unusually high (overbought) or unusually low (oversold).
The indicator’s default feature displays Z-Score Candlesticks, where each candle reflects the statistical “distance” of the open, high, low, and close prices from their average. This creates a visual map of market extremes and potential reversal points. For added flexibility, you can also switch to Z-Score line plots based on either Close prices or OHLC4 averages.
With clear threshold lines (±2σ and ±3σ) marking moderate and extreme price deviations, and color-coded zones to highlight overbought and oversold areas, the oscillator simplifies complex statistical concepts into actionable trading insights.
Volatility
ADR Indicator % Target - Average Daily Range (10 days)ADR Indicator
Average Daily Range
% Target S & R
10 DAYS BACK
Buy-Sell-rVolume [BSR] IndicatorBSR is a combination of buy and sell volumes with various length relative volumes of different ranges which is used as a relative volume crossover, indicating incoming volatility of buy or sell direction. BSR offers different options for monitoring buy or sell volumes and relative volume.
Santa's Adventure [AlgoAlpha]Introducing "Santa's Adventure," a unique and festive TradingView indicator designed to bring the holiday spirit to your trading charts. With this indicator, watch as Santa, his sleigh, Rudolf the reindeer, and a flurry of snowflakes come to life, creating a cheerful visual experience while you monitor the markets.
Key Features:
🎁 Dynamic Santa Sleigh Visualization : Santa's sleigh, Rudolf, and holiday presents adapt to price movements and chart structure.
🎨 Customizable Holiday Colors : Adjust colors for Santa’s outfit, Rudolf’s nose, sleigh, presents, and more.
❄️ Realistic Snow Animation : A cascade of snowflakes decorates your charts, with density and range adjustable to suit your preferences.
📏 Adaptive Scaling : All visuals scale based on price volatility and market dynamics.
🔄 Rotation by Trend : Santa and his entourage tilt to reflect market trends, making it both functional and fun!
How to Use :
Add the Indicator to Your Chart : Search for "Santa's Adventure" in the TradingView indicator library and add it to your favorites. Use the input menu to adjust snow density, sleigh colors, and other festive elements to match your trading style or holiday mood.
Observe the Market : Watch Santa’s sleigh glide across the chart while Rudolf leads the way, with snowflakes gently falling to enhance the visual charm.
How It Works :
The indicator uses price volatility and market data to dynamically position Santa, his sleigh, Rudolf, and presents on the chart. Santa's Sleigh angle adjusts based on price trends, reflecting market direction. Santa's sleigh and the snowstorm are plotted using advanced polyline arrays for a smooth and interactive display. A festive algorithm powers the snowfall animation, ensuring a consistent and immersive holiday atmosphere. The visuals are built to adapt seamlessly to any market environment, combining holiday cheer with market insights.
Add "Santa's Adventure" to your TradingView charts today and bring the holiday spirit to your trading journey, Merry Christmas! 🎅🎄
Dynamic Hybrid IndicatorHedef: Kısa vadeli trend dönüşlerini erken tespit ederek al-sat sinyalleri üretmek.
Zaman Dilimi: 1 dakikalık, 5 dakikalık ya da 15 dakikalık grafikler.
Average True Range (ATR) 20АТР 20 дней
Простой атр на 20 дней
веноывеароывпарто
споываро ыкео
саноыкоыяк
ыяояаывчпо
Dynamic Volatility Heatmap (ATR)How the Script Works
Dynamic Thresholds:
atrLow and atrHigh are calculated as percentiles (20% and 80% by default) of ATR values over the last double the ATR period (28 days if ATR is 14).
This creates thresholds that adapt to recent market conditions.
Background Heatmap:
Green: ATR is below the low threshold, indicating calm markets (options are cheap).
Red: ATR is above the high threshold, signaling elevated volatility (options are expensive).
Yellow: ATR is within the normal range, showing neutral market conditions.
Overlay Lines:
]Dynamic lines for atrLow and atrHigh help visualize thresholds on the chart.
Interpretation for Trading
Green Zone (Low ATR):
Interpretation: The market is calm, and options are likely underpriced.
Trade Setup: Favor buying options (e.g., long straddles or long calls/puts) to profit from potential volatility increases.
Red Zone (High ATR):
Interpretation: The market is volatile, and options are likely overpriced.
Trade Setup: Favor selling options (e.g., credit spreads or iron condors) to benefit from volatility decay.
Yellow Zone (Neutral ATR):
Interpretation: Volatility is within typical levels, offering no strong signal.
Trade Setup: Combine with other indicators, such as gamma levels or Bollinger Bands, for confirmation.
5. Enhancing with Other Indicators
Combine with Bollinger Bands:
Overlay Bollinger Bands to identify price extremes and align them with volatility heatmap signals.
JohnScriptЗміни, які
Додано дві нові лінії EMA (72 та 89) :
Лінія EMA 72:ema72 = ta.ema(close, 72)
Лінія EMA 89:ema89 = ta.ema(close, 89)
Візуалізація нових ліній EMA :
Лінія EMA 72 відображається синім кольором:plot(ema72, color=color.new(color.blue, 0), linewidth=2, title='EMA 72')
Лінія EMA 89 відображається фіолетовим кольором:plot(ema89, color=color.new(color.purple, 0), linewidth=2, title='EMA 89')
Цей скрипт тепер має три лінії EMA: одну з періодом 50, іншу з періодом
Volatility ProfileVolatility Profile allows for a fast comparison of the Average True Range from different time frames.
In addition to that, for each time frame it calculates the maximum and the minimum value over a set number of bars and divides the range between the maximum and the minimum in three parts to create three different volatility classes, which allows the user to quickly see how big the current value really is in relation to the past.
The settings allow the user to set the two extra time frames apart from the main time frame and the ATR length for each of the three ATR's, as well as the look back period to calculate the maximum and the minimum values.
This indicator is meant to help create a much more comprehensive view of the instrument's volatility.
Volatility-Weighted MA (VWMA)Interpretation:
VWMA adjusts to changes in market volatility, offering dynamic support and resistance levels.
Sharp deviations from VWMA often signal potential reversals or breakouts.
How to Use for Trades:
Mean Reversion: Look for price rejections at VWMA in low-volatility environments.
Trend Breakout: Trade in the direction of the breakout when price closes strongly above/below VWMA in high-volatility conditions.
MA 200 and Bollinger Bands StrategyNamaku Alfian, aku wong jawa timur, gawe en lek menurutmu cocok, lek engga yo ojo dielek2no, iki mek gae testing tok, aku yo butuh duit su
Pattern and Percent Pro-2.0Candle Percentage Change with Patterns Overview Original, unique indicator that represents the missing link between pattern-based candlestick analysis, volatility percentage tracking, and trend detection. The combination of multifeature abilities in one single script eliminates the need for the trader to overflow their screen with multiple indicators in order to analyze market dynamics easily and intuitively.
Originality
This script is unique among the other indicators for its combination of features, which so far have not been found together in one tool:
Integrated Percentage and Pattern Analysis: Though most tools focus either on candlestick patterns or on percentage changes, this script marries them together, offering both granular insights and broader market context, such as trend and cumulative changes.
Dynamic Visual Features: The optional heatmap dynamically changes shades with the magnitude of the percent change, offering a more intuitive way to evaluate market volatility. Besides that, adjustable labels and thresholds ensure an unparalleled degree of adaptability.
Multi-Layered Customizable Approach: From data filtration through RSI, highlighting of considerable changes, up to following cumulative trends, a trader can adjust this tool for his approach, which hardly finds its analogy in such an extended manner.
Pattern Synergy: The advanced detection of candlestick patterns, combined with indicators of trend and percentage change, creates a synergy that is above the sum of its parts in terms of actionable insights for traders. Key Features and How They Work
Percentage Change Analysis:
To begin, there will be percentage change labels for each candle. The user will be able to set label placement so that it will include cumulative percentage tracking across a predefined number of candles for short- and long-term insight into the markets.
Candlestick Pattern Detection:
Automatically detects and labels major candlestick patterns including but not limited to:
Doji Variants (Dragonfly, Gravestone).
Hammer Variants (Standard, Inverted).
Marubozu Patterns (Bullish, Bearish).
These are important in the identification of potential reversals or continuation signals.
Trend Analysis with Moving Average(Optional):
Detects the general direction of the market using Weighted Moving Average. Arrows are used to visually indicate upward or downward trends.
Heatmap and Highlighting:
Heatmap - The background is dynamically colored based on percentage changes; this provides instant visual feedback on volatility.
Highlighting: Marks candles that exceed user-defined thresholds, helping traders identify significant market movements.
RSI Integration (Optional):
Filters displayed labels based on RSI overbought/oversold levels to reduce noise and refine insights.
Customizable Alerts:
Notifications of high or low percentage changes include visual and audio cues to keep traders informed in real time.
User-Friendly Customization:
Traders can customize label colors, positions, lifespan, and more to fit their needs.
Use Case and Application
This script is perfect for:
Day Traders and Scalpers: Immediate identification of high-volatility candles for quick reversals.
Swing Traders: Confirm entry and exit with cumulative percentage trends.
Education: This will help new traders learn in a very simplified manner how to use complex concepts like candlestick patterns and trend analysis.
How to Use:
Toggle Features On/Off: Heatmap, candlestick pattern, RSI filter, and/or trend arrow.
Threshold Settings: Percentage change threshold and label lifetime threshold set for actionable signals.
Visualize Volatility: Immediately understand the action in the market through the heat map and combine it with pattern detection for a more profound analysis.
This script is unique because it's the first multi-dimensional tool that brings together the best in class candlestick pattern recognition, % change tracking, and visualizations into one single, easy-to-use tool. It will be a must-have tool for any serious trader who wants to glean immediate insight into volatility, trend, and pattern information all from one place.
ATR Stop-Loss CalculatorATR (Average True Range) kullanarak long ve short işlemleri için stop-loss seviyelerini hesaplar ve grafikte gösterir. Ayrıca Sağ üst köşede stop-loss seviyelerini bir tablo olarak görüntüler. Ayarlanabilir parametreler sayesinde esnek ve kullanıcı dostu bir araçtır.
Özellikler:
ATR'ye dayalı long ve short stop-loss seviyeleri.
Sağ üst köşede stop-loss seviyelerini gösteren tablo.
Kullanıcı tarafından özelleştirilebilir ATR uzunluğu, çarpanı ve hareketli ortalama uzunlukları.
6 Bollinger BandsYou can display 6 BB. It’s simple, so feel free to adjust it as you like. Your support would be a great motivator for creating new indicators.
6本のBBを表示できます。
シンプルですので、ご自由に調整してください。
応援頂けると新たなインジケーター作成の糧になります。
Breadth of Volatility The Breadth of Volatility (BoV) is an indicator designed to help traders understand the activity and volatility of the market. It focuses on analyzing how fast prices are moving and how much trading volume is driving those movements. By combining these two factors—price speed and volume strength—the BoV provides a single value that reflects the current level of market activity. This can help traders identify when the market is particularly active or calm, which is useful for planning trading strategies.
The speed component of the BoV measures how quickly prices are moving compared to their recent average. This is done by using a metric called the Average True Range (ATR), which calculates the typical size of price movements over a specific period. The BoV compares the current price change to this average, showing whether the market is moving faster or slower than usual. Faster price movements generally indicate higher volatility, which might signal opportunities for active traders.
The strength component focuses on the role of trading volume in price changes. It multiplies the trading volume by the size of the price movement to create a value called volume strength. This value is then compared to the highest volume strength seen over a recent period, which helps gauge whether the current price action is being strongly supported by trading activity. When the strength value is high, it suggests that market participants are actively trading and supporting the price movement.
These two components—speed and strength—are averaged to calculate the Breadth of Volatility value. While the formula also includes a placeholder for a third component (related to fundamental analysis), it is currently inactive and does not influence the final value. The BoV is displayed as a line on a chart, with a zero line for reference. Positive BoV values indicate heightened market activity and volatility, while values near zero suggest a quieter market. This indicator is particularly helpful for new traders to monitor market conditions and adjust their strategies accordingly, whether they’re focusing on trend-following or waiting for calmer periods for more conservative trades.
Important Notice:
Trading financial markets involves significant risk and may not be suitable for all investors. The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research or consult with a qualified financial advisor before making trading decisions. Past performance is not indicative of future results.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
Momentum Indicators SuiteThis script is a Momentum Indicators Suite for traders using Pine Script™ (version 5). Its purpose is to evaluate market conditions by aggregating signals from multiple technical indicators into a single "bullish," "bearish," or "neutral" state. Below is a detailed breakdown of its components and functionality:
1. Indicators Used
The script incorporates several well-known technical indicators to assess market momentum:
RSI (Relative Strength Index)
MACD (Moving Average Convergence Divergence)
Stochastic Oscillator
TSI (True Strength Index)
CCI (Commodity Channel Index)
Choppiness Index
Vortex Indicator
Momentum and ROC (Rate of Change)
2. Scoring System
Each indicator assigns points based on its signals:
+1 Point for bullish conditions.
-1 Point for bearish conditions.
0 Points for neutral or indecisive signals.
These points are aggregated to calculate a total score (totalPoints), representing overall market momentum.
3. Market State Determination
The total points determine the market state:
Bullish if totalPoints > 0.
Bearish if totalPoints < 0.
4. Dynamic Trend Label
When the market state changes, a label is added to the chart:
Green label for bullish trends.
Red label for bearish trends.
5. Visual Enhancements - Plot and Fill (Optional)
6. Customization - Traders can adjust several inputs for fine-tuning:
7. Target Audience - This script is ideal for:
Traders who rely on momentum and trend analysis for decision-making.
Those seeking a consolidated view of multiple indicators.
Swing and day traders aiming to identify trend changes promptly.
8. Potential Use Cases
Trend Confirmation: Helps confirm bullish or bearish market trends.
Trade Setup Identification: Assists in aligning trades with dominant market momentum.
Risk Management: Signals market neutrality or choppiness to avoid indecisive conditions.
This script simplifies complex momentum analysis by aggregating multiple indicators into actionable insights, making it a valuable tool for technical traders.
Hold Time With Percentage Drop Catastrophic ExitThis is a trading strategy developed for volatile markets. The system will look for breakouts in any market conditions with solid risk management in place. It incorporates a number of time-tested indicators that help it effectively balance capturing profit potential and controlling downside risk.
Key Features:
Breakout Detection Using Bands and Momentum Indicators:
Bollinger Bands: Finds possible breakout conditions where the price closes above the upper band amid periods of increased volatility.
MACD: This is for confirmation of momentum and trend alignment to increase the chances of successful breakouts. VWAP: This acts as an important level that ensures the price action is in the right intraday sentiment. Volatility and Volume Filters:
This strategy incorporates ATR for measuring market volatility and filtering out the strength of breakouts.
A relative volume filter ensures entry signals are well participated in by the market and filters low liquidity setups. Risk Management:
Minimum Holding Period: This prevents the strategy from prematurely exiting trades on minor pullbacks, allowing trends to form. The holding period is user-adjustable.
ATR-Based Emergency Exit: If the price falls by a certain percentage-a user input, such as 5%-from the entry price, calculated as a function of ATR, the position is immediately exited. This override prevents disastrous losses during turmoil.
Customizability:
Users can modify all the key parameters: Bollinger Band settings, holding periods, MACD configurations, ATR multipliers, and the percentage drop threshold. It also makes the strategy very versatile for different trading styles, instruments, and timeframes.
How It Works:
Entry Signals:
The strategy identifies a buy opportunity when the price breaks above the upper Bollinger Band with increasing ATR and volume, and MACD confirms bullish momentum. VWAP ensures that the price is above the average market sentiment level.
Minimum Holding Period:
Once a position is entered, the strategy enforces a minimum number of bars to hold before evaluating normal sell conditions. This rule prevents the strategy from prematurely exiting and ensures that trades have enough time to develop.
Emergency Exit:
If the price drops sharply-defined as a user-set percentage of the entry price, scaled by ATR-the strategy immediately exits, bypassing the minimum hold rule. This is protection against sudden and extreme losses under volatile conditions.
Exit Signals:
It further has a minimum holding period, after which it exits on its conditions under two indicators: MACD and VWAP, checking for loss of momentum or bearish conditions.
Use Case:
This will be a good approach for traders operating in volatile markets, focusing on breakout opportunities with strong risk management incorporated. It works well on intraday time frames but can be adapted to swing trading or longer-term strategies simply by adjusting the parameters.
Backtesting and Results:
Default settings are meant to return very realistic results in backtesting. Users should always test with the appropriate slippage, commission, and position sizing in relation to their actual trading environment.
Note:
This is an open-source script; for educational use only. Past performance is not indicative of future results. Traders should backtest/forward-test this idea before using it in live markets.
Filtered ATR with EMA OverlayFiltered ATR with EMA Overlay is an advanced volatility indicator designed to provide a more accurate representation of market conditions by smoothing the standard Average True Range (ATR). This is achieved by filtering out extreme price movements and abnormal bars that can distort traditional ATR calculations.
The indicator applies an Exponential Moving Average (EMA) to the filtered ATR, creating a dual-layered system that highlights periods of increased or decreased volatility.
Key Features:
Filtered ATR: Filters out extreme bars, reducing noise and making the ATR line more reliable.
EMA Overlay: An EMA (default period of 10) is applied to the filtered ATR, allowing traders to track average volatility trends.
Volatility Signals:
Filtered ATR > EMA(10): Indicates higher-than-average volatility. This often correlates with trend breakouts or strong price movements.
Filtered ATR < EMA(10): Suggests reduced volatility, signaling potential consolidation or sideways price action.
Parameters:
atrLength (Default: 5):
The number of bars used to calculate the ATR. A shorter period (e.g., 3-5) responds faster to price changes, while a longer period (e.g., 10-14) provides smoother results.
multiplier (Default: 1.8):
Controls the sensitivity of the filter. A lower multiplier (e.g., 1.5) filters out more bars, resulting in smoother ATR. Higher values (e.g., 2.0) allow more bars to pass through, retaining more price volatility.
maxIterations (Default: 20):
The maximum number of bars processed to detect abnormal values. Increasing this may improve accuracy at the cost of performance.
ema10Period (Default: 10):
The period for the Exponential Moving Average applied to the filtered ATR. Shorter periods provide faster signals, while longer periods give smoother, lagging signals.
Trading Strategies:
1. Breakout Strategy:
When filtered ATR crosses above EMA(10):
Enter long positions when price breaks above a key resistance level.
Higher volatility suggests strong price action and momentum.
When filtered ATR drops below EMA(10):
Exit positions or tighten stop-loss orders as volatility decreases.
Lower volatility may indicate consolidation or trend exhaustion.
2. Trend Following Strategy:
Use the filtered ATR line to track overall volatility.
If filtered ATR consistently stays above EMA: Hold positions or add to trades.
If filtered ATR remains below EMA: Reduce position size or stay out of trades.
3. Mean Reversion Strategy:
When filtered ATR spikes significantly above EMA, it may indicate market overreaction.
Look for price to revert to the mean once ATR returns below the EMA.
4. Stop-Loss Adjustment:
As volatility increases (ATR above EMA), widen stop-loss levels to avoid being stopped out by random fluctuations.
In low volatility (ATR below EMA), tighten stop-losses to minimize losses during low activity periods.
Benefits:
Reduced Noise: By filtering abnormal bars, the indicator provides cleaner signals.
Better Trend Detection: EMA smoothing highlights volatility trends.
Adaptable: The indicator can be customized for scalping, day trading, or swing trading.
Intuitive Visualization: Traders can visually see volatility shifts and adjust strategies in real-time.
Best Practices:
Timeframes: Works effectively on all timeframes, but higher timeframes (e.g., 1H, 4H, Daily) yield more reliable signals.
Markets: Suitable for forex, crypto, stocks, and commodities.
Combining Indicators: Use in combination with RSI, Moving Averages, Bollinger Bands, or price action analysis for stronger signals.
How It Works (Under the Hood):
The script calculates the Daily Range (High - Low) for each bar.
The largest and smallest bars are filtered out if their difference exceeds the multiplier (default 1.8).
The remaining bars are averaged to generate the filtered ATR.
An EMA(10) is then applied to the filtered ATR for smoother visualization.
Filtered ATR with EMA OverlayFiltered ATR with EMA Overlay is an advanced volatility indicator designed to provide a more accurate representation of market conditions by smoothing the standard Average True Range (ATR). This is achieved by filtering out extreme price movements and abnormal bars that can distort traditional ATR calculations.
The indicator applies an Exponential Moving Average (EMA) to the filtered ATR, creating a dual-layered system that highlights periods of increased or decreased volatility.
Key Features:
Filtered ATR: Filters out extreme bars, reducing noise and making the ATR line more reliable.
EMA Overlay: An EMA (default period of 10) is applied to the filtered ATR, allowing traders to track average volatility trends.
Volatility Signals:
Filtered ATR > EMA(10): Indicates higher-than-average volatility. This often correlates with trend breakouts or strong price movements.
Filtered ATR < EMA(10): Suggests reduced volatility, signaling potential consolidation or sideways price action.
Parameters:
atrLength (Default: 5):
The number of bars used to calculate the ATR. A shorter period (e.g., 3-5) responds faster to price changes, while a longer period (e.g., 10-14) provides smoother results.
multiplier (Default: 1.8):
Controls the sensitivity of the filter. A lower multiplier (e.g., 1.5) filters out more bars, resulting in smoother ATR. Higher values (e.g., 2.0) allow more bars to pass through, retaining more price volatility.
maxIterations (Default: 20):
The maximum number of bars processed to detect abnormal values. Increasing this may improve accuracy at the cost of performance.
ema10Period (Default: 10):
The period for the Exponential Moving Average applied to the filtered ATR. Shorter periods provide faster signals, while longer periods give smoother, lagging signals.
Trading Strategies:
1. Breakout Strategy:
When filtered ATR crosses above EMA(10):
Enter long positions when price breaks above a key resistance level.
Higher volatility suggests strong price action and momentum.
When filtered ATR drops below EMA(10):
Exit positions or tighten stop-loss orders as volatility decreases.
Lower volatility may indicate consolidation or trend exhaustion.
2. Trend Following Strategy:
Use the filtered ATR line to track overall volatility.
If filtered ATR consistently stays above EMA: Hold positions or add to trades.
If filtered ATR remains below EMA: Reduce position size or stay out of trades.
3. Mean Reversion Strategy:
When filtered ATR spikes significantly above EMA, it may indicate market overreaction.
Look for price to revert to the mean once ATR returns below the EMA.
4. Stop-Loss Adjustment:
As volatility increases (ATR above EMA), widen stop-loss levels to avoid being stopped out by random fluctuations.
In low volatility (ATR below EMA), tighten stop-losses to minimize losses during low activity periods.
Benefits:
Reduced Noise: By filtering abnormal bars, the indicator provides cleaner signals.
Better Trend Detection: EMA smoothing highlights volatility trends.
Adaptable: The indicator can be customized for scalping, day trading, or swing trading.
Intuitive Visualization: Traders can visually see volatility shifts and adjust strategies in real-time.
Best Practices:
Timeframes: Works effectively on all timeframes, but higher timeframes (e.g., 1H, 4H, Daily) yield more reliable signals.
Markets: Suitable for forex, crypto, stocks, and commodities.
Combining Indicators: Use in combination with RSI, Moving Averages, Bollinger Bands, or price action analysis for stronger signals.
How It Works (Under the Hood):
The script calculates the Daily Range (High - Low) for each bar.
The largest and smallest bars are filtered out if their difference exceeds the multiplier (default 1.8).
The remaining bars are averaged to generate the filtered ATR.
An EMA(10) is then applied to the filtered ATR for smoother visualization.
Abnormal Delta Volume HistogramThis indicator can help traders spot potential turning points or heightened volatility and provides a dynamic measure of unusual market behavior by focusing on shifts in “delta volume.” Delta volume is approximated by assigning all of a bar’s volume to the bullish side if the close is higher than the open and to the bearish side if the close is lower. The result is a net volume measure that can hint at which side—buyers or sellers—has the upper hand. By comparing this delta volume to its historical averages and measuring how far current readings deviate in terms of standard deviations, the indicator can highlight bars that reflect significantly stronger than normal buying or selling pressure.
A histogram visualizes these delta volume values on a bar-by-bar basis, while additional reference lines for the mean and threshold boundaries allow traders to quickly identify abnormal conditions. When the histogram bars extend beyond the threshold lines, and are colored differently to signal abnormality, it can draw the trader’s eye to periods when market participation or sentiment may be shifting rapidly. This can be used as an early warning signal, prompting further investigation into price action, external news, or significant events that may be driving unusual volume patterns.
Important Notice:
Trading financial markets involves significant risk and may not be suitable for all investors. The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research or consult with a qualified financial advisor before making trading decisions. Past performance is not indicative of future results.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
Z-Strike RecoveryThis strategy utilizes the Z-Score of daily changes in the VIX (Volatility Index) to identify moments of extreme market panic and initiate long entries. Scientific research highlights that extreme volatility levels often signal oversold markets, providing opportunities for mean-reversion strategies.
How the Strategy Works
Calculation of Daily VIX Changes:
The difference between today’s and yesterday’s VIX closing prices is calculated.
Z-Score Calculation:
The Z-Score quantifies how far the current change deviates from the mean (average), expressed in standard deviations:
Z-Score=(Daily VIX Change)−MeanStandard Deviation
Z-Score=Standard Deviation(Daily VIX Change)−Mean
The mean and standard deviation are computed over a rolling period of 16 days (default).
Entry Condition:
A long entry is triggered when the Z-Score exceeds a threshold of 1.3 (adjustable).
A high positive Z-Score indicates a strong overreaction in the market (panic).
Exit Condition:
The position is closed after 10 periods (days), regardless of market behavior.
Visualizations:
The Z-Score is plotted to make extreme values visible.
Horizontal threshold lines mark entry signals.
Bars with entry signals are highlighted with a blue background.
This strategy is particularly suitable for mean-reverting markets, such as the S&P 500.
Scientific Background
Volatility and Market Behavior:
Studies like Whaley (2000) demonstrate that the VIX, known as the "fear gauge," is highly correlated with market panic phases. A spike in the VIX is often interpreted as an oversold signal due to excessive hedging by investors.
Source: Whaley, R. E. (2000). The investor fear gauge. Journal of Portfolio Management, 26(3), 12-17.
Z-Score in Financial Strategies:
The Z-Score is a proven method for detecting statistical outliers and is widely used in mean-reversion strategies.
Source: Chan, E. (2009). Quantitative Trading. Wiley Finance.
Mean-Reversion Approach:
The strategy builds on the mean-reversion principle, which assumes that extreme market movements tend to revert to the mean over time.
Source: Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Finance, 48(1), 65-91.
Uptrick: Smart BoundariesThis script is designed to help traders identify potential turning points in the market by combining RSI (Relative Strength Index) signals and Bollinger Bands. It also includes a built-in mechanism to manage the number of consecutive buy and sell entries, often referred to as pyramiding. Below you will find a detailed explanation of how the script works, how it was designed, and some suggestions on using it effectively in your trading workflow.
Overview
The script calculates RSI using a user-defined length and identifies when the RSI is in overbought or oversold territory based on user-selected threshold levels (default values for RSI overbought and oversold are 70 and 30, respectively). Additionally, it plots Bollinger Bands, which can provide context on potential price volatility. A Bollinger Band uses a moving average of the closing price plus and minus a configurable multiplier of the standard deviation. When price closes below the lower band, it may suggest a temporary oversold condition. Conversely, when price closes above the upper band, it may suggest an overbought condition.
Combining RSI and Bollinger Bands
The buy condition is triggered when the RSI is below the defined oversold level and the closing price is below the lower Bollinger Band. The idea behind this is that both momentum (as indicated by RSI) and volatility (as indicated by Bollinger Bands) are pointing to a potential undervaluation of price. The sell condition is the mirror image of that logic: it is triggered when the RSI is above the defined overbought level and the closing price is above the upper Bollinger Band. These signals aim to highlight points in the market where there could be a momentum shift or a mean reversion.
Pyramiding Logic
A unique aspect of this script is how it manages pyramiding, which is the practice of taking multiple entries in the same direction. For example, if you already have a buy entry and the conditions remain bullish, you might want to add an additional position. However, controlling how often you add those positions can be crucial in risk management. The script includes a variable that counts the number of buys and sells currently triggered. Once the maximum allowed number of entries per side (defined as maxPyramiding) is reached, no more entries of that type are plotted.
There is an optional feature (enablePyramiding) that allows you to reduce pyramiding by disabling it if you prefer to take only one entry per signal. When disabled, the script will not allow additional positions in the same direction until a reset occurs, which happens when the condition for that side is not met.
Labels and Visuals
Every time a buy or sell condition is triggered, the script plots a small label on the chart at the bar index. A buy label appears underneath the price to visually mark the entry, while a sell label appears above the price. These labels make it easy to see on the chart exactly when both conditions coincide (RSI condition and Bollinger Band condition). This visual reference helps traders quickly spot patterns and potential entry or exit points.
Alongside these signals, you can also see the Bollinger Bands plotted in real time. The upper band is shown in red, and the lower band is shown in green. Having these bands on the chart allows you to see when price is trading near the extremes of its recent average range.
Alerts
Alerts can be set to notify you when a buy or sell condition appears. This means that even if you are not actively watching the chart, you can receive a notification (through TradingView's alert system) whenever RSI crosses into oversold or overbought territory in conjunction with price closing outside the Bollinger Bands.
Potential Uses
Traders might use this tool for a range of styles, from scalping to swing trading. Since the signals are based on RSI and Bollinger Bands, it can help highlight points of possible mean reversion, but it does not guarantee future performance. It may be beneficial to combine it with other forms of technical analysis, such as volume studies or support/resistance levels, to help filter out weaker signals.
Customization
One of the main strengths of this script is its flexibility. All key parameters can be tuned to fit your personal trading style and risk tolerance. You can adjust:
• The RSI length and threshold levels for overbought/oversold.
• Bollinger Band length and multiplier to catch wider or narrower volatility bands.
• The maximum allowed pyramiding entries per side.
• Whether to enable or disable pyramiding logic altogether.
Uniqueness of This Script
A distinctive aspect of this script is its combination of a classic momentum indicator (RSI) with Bollinger Bands, plus an intelligent pyramiding component. While many indicators simply plot RSI or Bollinger Bands, this script synchronizes the two to highlight oversold and overbought conditions more precisely. At the same time, the built-in pyramiding counter allows you to manage how many times you enter on the same signal direction, giving you a dynamic scaling feature not commonly seen in standalone RSI or Bollinger Band scripts. This approach helps traders maintain consistent risk management by preventing excessive stacking of positions when signals continue to appear, which can be beneficial for those who like to scale into trades gradually. All these factors contribute to the script's uniqueness and potential usefulness for a wide range of trading styles, from cautious single-entry traders to those who prefer incremental position building.
Conclusion
This script is a helpful tool for traders interested in combining momentum and volatility indicators. By integrating RSI signals with Bollinger Band breakouts, it tries to uncover moments when price might be at an extreme. It further offers pyramiding control, which can be appealing to traders who like to scale into positions. As with any technical indicator or script, it is important to do additional research and not rely solely on these signals. Always consider using proper risk management, and keep in mind that no tool can accurately predict future prices every time.
BACKTESTED RESULTS
The script has proven to be the most profitable on the 3 mins timeframe with these settings:
RSI Length: 17
Overbought Level: 70
Oversold Level: 33
Bollinger Bands Length: 19
Bollinger Bands Multiplier: 2
As of 22nd December 2024
Pyramiding was set to 10
Not financial advice
TOTAL WINNING RATE: 75.04%
Relative Volatility Measure (RVM) Daily ChartsThis was uploaded before I believe by © AIFinPlot and it's gone.
I use this to know and to see WHEN volatility cycles are high meaning high volatility is present in the chart from price expansion or volatility increasing in the product (as it goes in cycles that can be very different from every other day) to low volatility ONLY for the daily chart to know my environmental conditions on the 3-1 minute timeframe, so I can avoid trending, breakout strategies when on low volatility (yellow and red areas) and utilize breakouts or trend strategies on high volatility environments (no color). tweak it. hope it helps!!
This is a script only to give you a holistic idea of the volatility for the last couple of hours or days. It is not a product to predict future volatility or any future volatility. Combine this with looking at how size candles have grown or decreased, order flows and speed, swings getting bigger or smaller, and checking with the VIX to gauge volatility in order to know if your strategy will work in current conditions.
works well with daily charts and this is for analysis before trading.
