Price Step Channel [BigBeluga]Price Step Channel is designed to provide a structured look at price trends through a dynamic step line channel, highlighting trend direction and volatility boundaries.
🔵 Key Features:
Step Line with Boundaries: The central step line adjusts with price movements, creating upper and lower boundaries based on price volatility. The channel is green during uptrends and red during downtrends, visually signaling the trend’s direction.
Fakeout Markers: "✖" markers identify potential fakeouts—moments when the price breaches the channel boundary without confirming a trend change. These markers help you spot possible mean reversion points.
Dynamic Boundary Labels: Labels at the end of the channel show the price levels of the upper and lower boundaries. In uptrends, the upper label turns green; in downtrends, the lower label turns red, providing an instant read on the trend's direction.
Customizable Display: You can toggle off the boundaries and labels for a cleaner view, focusing only on the step line and its color-coded trend signals.
🔵 When to Use:
Price Step Channel is ideal for traders looking to follow structured trends with defined volatility boundaries. The step line and color-coded channel provide clear trend insights, while the fakeout markers and customizable display options enhance flexibility in different market conditions. Whether you’re focusing on clean trend signals or detailed boundary interactions, this tool adapts to your style.
Volatility
Position resetThe "Position Reset" indicator
The Position Reset indicator is a sophisticated technical analysis tool designed to identify possible entry points into short positions based on an analysis of market volatility and the behavior of various groups of bidders. The main purpose of this indicator is to provide traders with information about the current state of the market and help them decide whether to open short positions depending on the level of volatility and the mood of the main players.
The main components of the indicator:
1. Parameters for the RSI (Relative Strength Index):
The indicator uses two sets of parameters to calculate the RSI: one for bankers ("Banker"), the other for hot money ("Hot Money").
RSI for Bankers:
RSIBaseBanker: The baseline for calculating bankers' RSI. The default value is 50.
RSIPeriodBanker: The period for calculating the RSI for bankers. The default period is 14.
RSI for hot money:
RSIBaseHotMoney: The baseline for calculating the RSI of hot money. The default value is 30.
RSIPeriodHotMoney: The period for calculating the RSI for hot money. The default period is 21.
These parameters allow you to adjust the sensitivity of the indicator to the actions of different groups of market participants.
2. Sensitivity:
Sensitivity determines how strongly changes in the RSI will affect the final result of calculations. It is configured separately for bankers and hot money:
SensitivityBanker: Sensitivity for bankers' RSI. It is set to 2.0 by default.
SensitivityHotMoney: Sensitivity for hot money RSI. It is set to 1.0 by default.
Changing these parameters allows you to adapt the indicator to different market conditions and trader preferences.
3. Volatility Analysis:
Volatility is measured based on the length of the period, which is set by the volLength parameter. The default length is 30 candles. The indicator calculates the difference between the highest and lowest value for the specified period and divides this difference by the lowest value, thus obtaining the volatility coefficient.
Based on this coefficient, four levels of volatility are distinguished.:
Extreme volatility: The coefficient is greater than or equal to 0.25.
High volatility: The coefficient ranges from 0.125 to 0.2499.
Normal volatility: The coefficient ranges from 0.05 to 0.1249.
Low volatility: The coefficient is less than 0.0499.
Each level of volatility has its own significance for making decisions about entering a position.
4. Calculation functions:
The indicator uses several functions to process the RSI and volatility data.:
rsi_function: This function applies to every type of RSI (bankers and hot money). It adjusts the RSI value according to the set sensitivity and baseline, limiting the range of values from 0 to 20.
Moving Averages: Simple moving averages (SMA), exponential moving averages (EMA), and weighted moving averages (RMA) are used to smooth fluctuations. They are applied to different time intervals to obtain the average values of the RSI.
Thus, the indicator creates a comprehensive picture of market behavior, taking into account both short-term and long-term dynamics.
5. Bearish signals:
Bearish signals are considered situations when the RSI crosses certain levels simultaneously with a drop in indicators for both types of market participants (bankers and hot money).:
The bankers' RSI crossing is below the level of 8.5.
The current hot money RSI is less than 18.
The moving averages for banks and hot money are below their signal lines.
The RSI values for bankers are less than 5.
These conditions indicate a possible beginning of a downtrend.
6. Signal generation:
Depending on the current level of volatility and the presence of bearish signals, the indicator generates three types of signals:
Orange circle: Extremely high volatility and the presence of a bearish signal.
Yellow circle: High volatility and the presence of a bearish signal.
Green circle: Low volatility and the presence of a bearish signal.
These visual markers help the trader to quickly understand what level of risk accompanies each specific signal.
7. Notifications:
The indicator supports the function of sending notifications when one of the three types of signals occurs. The notification contains a brief description of the conditions under which the signal was generated, which allows the trader to respond promptly to a change in the market situation.
Advantages of using the "Position Reset" indicator:
Multi-level analysis: The indicator combines technical analysis (RSI) and volatility assessment, providing a comprehensive view of the current market situation.
Flexibility of settings: The ability to adjust the sensitivity parameters and the RSI baselines allows you to adapt the indicator to any market conditions and personal preferences of the trader.
Clear visualization: The use of colored labels on the chart simplifies the perception of information and helps to quickly identify key points for entering a trade.
Notification support: The notification sending feature makes it much easier to monitor the market, allowing you to respond to important events in time.
WORKING RANGING FILTER! after years of searching for an indicator i finally managed to create this chatgpt and some other indicator i used as baseline. unfortunately i cant even remember who made original.
it has been reworked so many times.
anyway you can draw trend lines on oscilaltor to see when it breaks and those are big moves.
the oscillator paints background purple when market is moving and color nothing when its ranging. only trend trade when its purple and only range trade when its not.
also seems to be showing divergences which was not my intention but its an all around swiss army knife.
i would pair it with an indicator that tells you overall market direction. like moving averagers, supertrend or similar and only open trades into trend direction when its purple. buy pullbacks.
treshold increase will give less signals.
i added a moving average to oscillator(because it was very spikey) so treshold level interract
with the moving average to give better results.
let me know what you think
Gong's_indicator📌 Gong’s Indicator – Advanced Trading Strategy
🔗 Why This Script? (Justification for Combining Indicators)
This script is not just a simple RSI or Donchian Channel indicator. It is a comprehensive trading strategy that intelligently combines RSI signals, Donchian Channel breakouts, and volatility-based entry/exit points to generate high-probability trade setups.
Rather than simply identifying overbought/oversold conditions, this script:
✔ Filters RSI signals using the past 30 candles to confirm a true reversal point.
✔ Dynamically adjusts Donchian Channel gaps based on recent price volatility.
✔ Generates trade signals only when key conditions align, reducing false signals.
✔ Automates stop-loss and target price calculations for optimized risk management.
The combination of these elements creates a powerful system that adapts to both range-bound and trending markets, offering traders a structured approach to identifying high-quality trade opportunities.
💰 Why Is This Script Worth Paying For?
This is not just a typical indicator—it is an advanced trading tool that enhances decision-making, automates trade management, and increases profitability potential.
🚀 Key Premium Features
✅ Smart Entry & Exit Strategy
✔ Uses RSI-based signal filtering to avoid weak reversal points.
✔ Dynamically adjusts Donchian Channel breakouts based on recent volatility.
✔ Automatically calculates & displays stop-loss and target levels for every signal.
✅ Volatility-Based Reversal Detection (Diamond Markers)
✔ Identifies short-term rapid price movements and marks them with diamonds.
✔ Highlights potential trend reversal points, giving traders an edge in volatile markets.
✅ Optimized for Hedge Mode Trading
✔ Supports multiple entries in the same direction, making it ideal for hedge mode.
✔ Works in both trend-following and counter-trend strategies, allowing flexible execution.
✅ Adaptive Risk Management
✔ Automatically calculates stop-loss and take-profit targets, ensuring an optimal risk-reward ratio.
✔ Traders no longer need to manually define their stop/target—the script does it for them!
✅ Works in Both Ranging & Trending Markets
✔ Unlike basic RSI or Donchian strategies that work only in sideways markets, this script adjusts its trading range dynamically, making it effective in trending conditions as well.
✔ Prevents continuous losses during strong trends by adapting stop-loss and re-entry logic.
📌 Conclusion: This script is not just a combination of indicators—it is a fully optimized trading system that helps traders identify, enter, and manage trades more effectively. By reducing false signals, automating trade management, and adapting to market conditions, it offers a significant edge over standard free indicators. 🚀💎
📖 How to Use It?
🔹 Open positions in the green/red zones and set the purple line as the stop-loss.
🔹 The script provides pre-calculated stop-loss and target prices, making trade management easier.
🔹 When a stop occurs, the script detects potential reversals and provides re-entry signals.
🔹 Works best on timeframes under 15 minutes and is optimized for hedge mode trading.
⚠ Precautions
🔸 This script works best in range-bound markets. In strong trends, additional risk management is required.
🔸 While built-in target/stop levels are provided, traders should adjust them based on their own strategies and risk tolerance.
Now, this description meets both TradingView’s requirements:
✅ It justifies why different indicators are combined and how they work together.
✅ It explains why this script is valuable enough to be a premium tool.
This should significantly improve your chances of approval! 🚀
Schwarzman Custom ORB with Box DisplayIndicator Overview
The Schwarzman Custom ORB (Opening Range Breakout) Indicator is a fully self-developed script designed for traders who utilize opening range breakout strategies. This indicator allows users to customize their ORB settings, apply them to historical price data, and visually connect multiple ORBs to analyze past performance. The goal is to provide traders with a tool to backtest and refine their breakout strategies based on historical ORB data.
How the Indicator Works
1️⃣ User-Defined ORB Settings
• The user selects a custom start time (hour and minute) for the ORB.
• The user defines a duration (e.g., 15 minutes, 30 minutes, etc.) for the ORB period.
• A timezone offset is included to adjust for different market sessions.
2️⃣ ORB High and Low Calculation
• The script records the highest and lowest prices within the selected ORB time window.
• The recorded values remain static after the ORB period ends, ensuring accurate range plotting.
3️⃣ Historical ORB Visualization
• Instead of only showing a single ORB for the current session, this indicator connects multiple ORBs across past data.
• This allows traders to visually analyze previous breakout performance.
• The plotted ORBs remain fixed and do not repaint, ensuring an accurate backtesting experience.
4️⃣ Stepline Visualization & Range Filling
• The high and low ORB levels are displayed using stepline plots to maintain clear horizontal levels.
• A shaded box is applied between the ORB high and low for better visualization.
Use Cases & Strategy Application
📌 Backtesting Historical ORBs – See how past ORBs performed under different market conditions.
📌 Custom ORB Settings – Adjust the start time and duration for different trading sessions.
📌 Multi-ORB Analysis – Connect ORBs over multiple trading days to study trends and breakouts.
📌 Breakout Strategy Optimization – Use the historical ORB connections to refine entry and exit points.
This indicator is particularly useful for day traders, scalpers, and breakout traders looking for a data-driven approach to trading.
Indicator Development & Transparency Statement
As a trader, I have tested various ORB (Opening Range Breakout) indicators available in the TradingView community. Through these experiences, I aimed to develop a version that best fits my own trading needs and strategy.
This script is a self-developed ORB tool, created from scratch while drawing inspiration from the concept of opening range breakouts, which is widely used in trading. Since I initially coded in Pine Script v4, I used ChatGPT to help refine and migrate the script to Pine Script v6 to ensure compatibility with the latest TradingView features. However, the core logic, structure, and customization were entirely designed and implemented based on my own approach.
I am making this indicator public not to violate any TradingView guidelines but to share my work with the trading community and provide a tool that can help others analyze ORB-based strategies. If there are any compliance concerns, I am open to adjusting the script accordingly, but I want to clarify that this is not a copy of any existing ORB script—it is a custom-built indicator tailored to my own trading preferences.
I appreciate the opportunity to contribute to the community and would welcome any specific feedback from TradingView regarding rule compliance.
Best regards,
Janko S. (Schwarzman)
Appeal to TradingView
Dear TradingView Team,
This script is 100% self-developed and does not copy or replicate any third-party code. It is a customized ORB tool designed for traders who wish to backtest and analyze opening range breakout strategies over multiple sessions. We kindly request specific clarification regarding which exact line(s) of code violate TradingView’s guidelines. If there are any compliance concerns, we are happy to adjust the script accordingly.
Please let us know the precise rules or community guidelines that were violated so we can make the necessary modifications.
🚀 Summary
✔ Fully Custom & Self-Developed – No copied or third-party code.
✔ Innovative Feature – Connects past ORBs for strategy backtesting.
✔ Transparent & Compliant – Requesting exact details on any potential rule violations.
Professional Trading IndicatorThis is highly probability profitable indicator with lower risk to be closely back tested for better profits, take good assessment prior to taking trades
Wolfe HuntingIntroducing Wolfe Hunting , the ultimate all-in-one trading tool designed to supercharge your market analysis! This powerful Pine Script indicator helps you pinpoint significant price movements with customizable boxes, spot trends using a smooth SMA overlay, and visualize key swings with dynamic zigzag-like lines. Whether you're tracking volatility, identifying support and resistance levels, or confirming trends, Wolfe Hunting has you covered. With fully customizable colors, line weights, and sensitivity settings, this versatile indicator adapts to any trading style—be it day trading, swing trading, or long-term investing. Elevate your strategy today with Wolfe Hunting and turn complex market data into actionable insights, all while enjoying a sleek, user-friendly experience tailored just for you!
Volatility Arbitrage Spread Oscillator Model (VASOM)The Volatility Arbitrage Spread Oscillator Model (VASOM) is a systematic approach to capitalizing on price inefficiencies in the VIX futures term structure. By analyzing the differential between front-month and second-month VIX futures contracts, we employ a momentum-based oscillator (Relative Strength Index, RSI) to signal potential market reversion opportunities. Our research builds upon existing financial literature on volatility risk premia and contango/backwardation dynamics in the volatility markets (Zhang & Zhu, 2006; Alexander & Korovilas, 2012).
Volatility derivatives have become essential tools for managing risk and engaging in speculative trades (Whaley, 2009). The Chicago Board Options Exchange (CBOE) Volatility Index (VIX) measures the market’s expectation of 30-day forward-looking volatility derived from S&P 500 option prices (CBOE, 2018). Term structures in VIX futures often exhibit contango or backwardation, depending on macroeconomic and market conditions (Alexander & Korovilas, 2012).
This strategy seeks to exploit the spread between the front-month and second-month VIX futures as a proxy for term structure dynamics. The spread’s momentum, quantified by the RSI, serves as a signal for entry and exit points, aligning with empirical findings on mean reversion in volatility markets (Zhang & Zhu, 2006).
• Entry Signal: When RSI_t falls below the user-defined threshold (e.g., 30), indicating a potential undervaluation in the spread.
• Exit Signal: When RSI_t exceeds a threshold (e.g., 70), suggesting mean reversion has occurred.
Empirical Justification
The strategy aligns with findings that suggest predictable patterns in volatility futures spreads (Alexander & Korovilas, 2012). Furthermore, the use of RSI leverages insights from momentum-based trading models, which have demonstrated efficacy in various asset classes, including commodities and derivatives (Jegadeesh & Titman, 1993).
References
• Alexander, C., & Korovilas, D. (2012). The Hazards of Volatility Investing. Journal of Alternative Investments, 15(2), 92-104.
• CBOE. (2018). The VIX White Paper. Chicago Board Options Exchange.
• Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. The Journal of Finance, 48(1), 65-91.
• Zhang, C., & Zhu, Y. (2006). Exploiting Predictability in Volatility Futures Spreads. Financial Analysts Journal, 62(6), 62-72.
• Whaley, R. E. (2009). Understanding the VIX. The Journal of Portfolio Management, 35(3), 98-105.
MediMoving Average with Customized Deviation by MarcosJuniorAn indicator that uses two adjustable arithmetic moving averages, as needed, where the averages are from the same periods, one average being standard and the other average using a calculation base for standard deviation based on the volatility of the moment.
Liquidations Script + buyside/sellside ratioThis enhanced version of the liquidations indicator is designed for use with Pine Script™ version 6 and provides a more detailed view of potential liquidation levels on your chart. The key features include:
Volume-Based Liquidation Calculations:
The script calculates a volume difference over a user-defined lookback period and uses the mean difference to filter out noise. It then determines whether the current volume difference exceeds specific thresholds (e.g., 5x, 10x, 25x, 50x, and 100x leverage conditions).
Pivot Point Integration:
Pivot high and low points are identified using configurable parameters. Optionally, these pivot lines can be displayed to visually aid in understanding where the price reversals occur.
Dynamic Liquidation Lines:
For each leverage group, the script draws corresponding liquidation lines above and below the price. The calculations adjust the liquidation level based on whether the signal is from a pivot high or pivot low, reflecting potential liquidation prices for both long and short positions.
Real-Time Ratio Display:
An additional feature of this version is the display of a ratio label. This label, positioned on the right side of the price (using yloc.price and label.style_label_right), shows:
The number of liquidation lines above the price (from pivot highs)
The number of liquidation lines below the price (from pivot lows)
The ratio (or proportion) of liquidation lines above to those below the price
This offers traders an at-a-glance summary of the market’s liquidation pressure.
Customizability and Flexibility:
Users can toggle the display of pivot settings and each leverage group’s liquidation lines individually. Colors and line extensions can be adjusted to fit the user’s charting preferences.
Overall, this improved script aims to deliver clearer, more actionable information regarding potential liquidation levels while keeping the code organized and fully compliant with Pine Script™ version 6.
STDEV Multi TimeFrame [Snowdex]STDEV Multi TimeFrame
The STDEV Multi TimeFrame indicator plots standard deviation levels (+1SD, +2SD, +3SD, -1SD, -2SD, -3SD) based on a user-selected timeframe (1D, 1W, 1M, etc.). It helps identify volatility, trend strength, and potential reversal zones using Bollinger Bands-style deviation calculations.
Key Features:
✅ Multi-Timeframe Selection – Choose any timeframe for STDEV calculations.
✅ Customizable Bollinger Bands – Select SMA, EMA, RMA, or WMA as the baseline.
✅ Color-Coded STDEV Levels – Fast (Green), Medium (Orange), Slow (Red).
✅ Non-Repainting & Accurate – Uses request.security() for precise data retrieval.
✅ Extended Lines & Labels – Clear trend monitoring with formatted values.
Use Cases:
📌 Detect trend direction & volatility.
📌 Identify overbought/oversold zones.
📌 Use as dynamic support/resistance levels.
🚀 Ideal for stocks, forex, crypto, and options trading! 🚀
Ultimate Volatility Scanner by NHBprod - Requested by Client!Hey Everyone!
I created another script to add to my growing library of strategies and indicators that I use for automated crypto and stock trading! This strategy is for BITCOIN but can be used on any stock or crypto. This was requested by a client so I thought I should create it and hopefully build off of it and build variants!
This script gets and compares the 14-day volatility using the ATR percentage for a list of cryptocurrencies and stocks. Cryptocurrencies are preloaded into the script, and the script will show you the TOP 5 coins in terms of volatility, and then compares it to the Bitcoin volatility as a reference. It updates these values once per day using daily timeframe data from TradingView. The coins are then sorted in descending order by their volatility.
If you don't want to use the preloaded set of coins, you have the option of inputting your own coins AND/OR stocks!
Let me know your thoughts.
Strat SRSI, MACD, Volume, VolatilitéCette stratégie combine plusieurs indicateurs pour détecter des opportunités de trading :
Meilleurs résultats en 1D
MACD Normalisé : Utilisé pour repérer les croisements entre la ligne MACD et la ligne de signal.
Stoch RSI Normalisé : Détecte les conditions de surachat et de survente.
WVAD Normalisé (Accumulation/Distribution) : Évalue la pression d'achat ou de vente via le volume et les prix.
ATR : Mesure la volatilité pour éviter les faux signaux en conditions de faible volatilité.
Conditions d'achat :
Croisement haussier du MACD normalisé OU Stoch RSI inférieur à 0,3.
Volume supérieur à la moyenne.
WVAD indiquant une pression d'achat.
Volatilité suffisante selon l’ATR.
Conditions de vente :
Croisement baissier du MACD normalisé OU Stoch RSI supérieur à 0,6.
WVAD indiquant une pression de vente.
Volatilité suffisante selon l’ATR.
Gestion des positions :
Entrée : Un ordre long est ouvert lorsque les conditions d'achat sont remplies.
Sortie : La position est clôturée lorsque les conditions de vente sont déclenchées.
Cette stratégie vise à maximiser les entrées en tendance et à minimiser les faux signaux grâce à des filtres basés sur le volume et la volatilité.
Double Bollinger with Outer Movement RangeThis double BB indicator shows an inner and outer band. The extra outer band picks up on extreme price movement, to allow for more aggressive entries or exits.
As a candle's value changes, it changes the value of the Bollinger band. This causes the BB to "retreat" from the candle as it approaches the band. It also means that if a candle retraces toward the centre basis line, the Bollinger bands will close in. This can lead to "passive crosses", where price never actually penetrated the Bollinger band, but instead the returning Bollinger band crossed the price.
Looking at the historic chart, these passive crosses make it look like price crossing the outer BB is a reliable indicator for entries and exits. Unfortunately, the intracandle movement may lead to disappointment.
The outer movement range of this indicator shows how far the outer BB moved in response to each candle's price movement. If the candle did not penetrate the outside of the movement range, it did not actively penetrate the Bollinger band. Instead, the band crossed the price as the candle retraced.
Useful for fine-tuning entry and exit signals, especially when looking for real-time bar signals. It's better to trigger an entry or exit by the candle's high or low being higher or lower than the Bollinger Band, to capture as much as possible of the likely mean reversion.
Composite Strength Indicator This indicator calculates a composite market strength value by
combining multiple technical metrics: a manually-computed ADX,
RSI, EMA crossover, MACD histogram, and Rate of Change (ROC).
The indicator then visualizes the strength by changing both the
chart's background color and the candle (bar) colors based on
several strength phases:
- Very Strong Bullish (> 30): Green (background semi-transparent, candles opaque)
- Moderately Strong Bullish (21 to 30): Lime
- Mild Bullish (11 to 20): Teal
- Neutral (-10 to 10): Gray
- Mild Bearish (-20 to -11): Orange
- Moderately Strong Bearish (-30 to -21): Red
- Very Strong Bearish (< -30): Maroon
You can customize the indicator parameters (ADX, RSI, EMA, MACD, ROC)
and use the toggles "Display Background Color" and "Display Candle Color"
to enable or disable each color feature.
Standard Déviation ChannelWhat Is Standard Deviation?
Standard deviation is a statistical measurement that looks at how far individual points in a dataset are dispersed from the mean of that set. If data points are further from the mean, there is a higher deviation within the data set. It is calculated as the square root of the variance.
Key Takeaways:
Standard deviation measures the dispersion of a dataset relative to its mean.
It is calculated as the square root of the variance.
Standard deviation, in finance, is often used as a measure of the relative riskiness of an asset.
A volatile stock has a high standard deviation, while the deviation of a stable blue-chip stock is usually rather low.
Standard deviation is also used by businesses to assess risk, manage business operations, and plan cash flows based on seasonal changes and volatility.
Source: Investopedia.com
Bollinger Bands & Ichimoku Cloud (Golden Ratio Based)Bollinger Bands & Ichimoku Cloud (Golden Ratio Based) – TradingView Indicator
This unique indicator blends Bollinger Bands and Ichimoku Cloud with the Golden Ratio (1.618) to enhance trend analysis, volatility measurement, and support/resistance identification.
🔹 Features & Concept:
✅ Golden Ratio Integration: Uses 1.618 as a dynamic multiplier for Bollinger Bands and Ichimoku periods, adding a natural market rhythm.
✅ Enhanced Bollinger Bands: Dynamically adjusts volatility levels using the Golden Ratio, offering a refined view of price deviations.
✅ Modified Ichimoku Cloud: Adapts Tenkan-Sen, Kijun-Sen, and Senkou Span B calculations using Fibonacci-based periods for trend confirmation and cloud structure.
✅ Strong Confluence: Combines volatility (BB) and trend momentum (Ichimoku) to identify high-probability trading setups.
✅ Customizable Settings: Easily modify lengths, sources, and displacement values to suit different trading strategies.
📊 How to Use It?
🔸 Breakouts & Trend Strength: Price breaking above/below the Bollinger Bands alongside Ichimoku confirmation signals strong momentum shifts.
🔸 Dynamic Support & Resistance: Bollinger Bands and the cloud provide evolving price reaction zones.
🔸 Trend Confirmation: A green Ichimoku cloud with price above BB middle suggests an uptrend, while a red cloud with price below BB middle signals a downtrend.
Ideal for traders looking to combine volatility and trend indicators with a Fibonacci-based approach to enhance precision and decision-making. 🚀
Opening Score with DivergenceOverview
The Opening Score Indicator is a versatile tool designed to help traders assess market sentiment, trend direction, and potential reversals. By combining Opening Range Breakout (ORB), VWAP, Trend, Volatility, and Divergence Detection, this indicator provides a composite score that adapts to different market conditions.
This version includes divergence detection between the Opening Score and price, which highlights potential trend reversals or continuations before they happen. When a regular divergence occurs, the histogram bar turns orange, signaling an increased probability of a trend change.
Best for Both Intraday & Longer-Term Charts
📊 Optimized for intraday trading → Works well on 1m to 30m timeframes for short-term strategies.
📈 Also effective on longer-term charts → Can be used on 1-hour, 4-hour, daily, or weekly charts to identify macro trends and momentum shifts.
🕰️ Adapts to different market conditions → Whether you’re a day trader, swing trader, or position trader, the Opening Score helps you track trend health and reversals.
How It Works
📊 Composite Opening Score Calculation
• ORB Signal → Detects bullish/bearish breakouts based on the opening range.
• VWAP Signal → Measures price positioning relative to VWAP for trend confirmation.
• Trend Signal → Uses a moving average to determine market direction.
• Volatility Signal → Tracks ATR changes to assess market strength.
• Divergence Detection → Identifies regular and hidden divergences for potential reversals or trend continuation.
🔹 Reversal Alerts with Color-Coded Histogram
• Green Bars → Normal bullish Opening Score.
• Red Bars → Normal bearish Opening Score.
• Orange Bars → Warning! Regular Divergence detected → Possible trend reversal.
🔹 Hidden & Regular Divergence Detection
• Regular Divergence (Reversal Signals)
• 📉 Bearish Regular Divergence → Price makes a Higher High, but Opening Score makes a Lower High → 🔻 Possible Downtrend Reversal.
• 📈 Bullish Regular Divergence → Price makes a Lower Low, but Opening Score makes a Higher Low → 🔼 Possible Uptrend Reversal.
• Hidden Divergence (Trend Continuation Signals)
• 📉 Bearish Hidden Divergence → Price makes a Lower High, but Opening Score makes a Higher High → 🔻 Trend Likely to Continue Down.
• 📈 Bullish Hidden Divergence → Price makes a Higher Low, but Opening Score makes a Lower Low → 🔼 Trend Likely to Continue Up.
How to Use It
✅ Watch for Reversal Alerts (Orange Bars) → These highlight potential market turning points.
✅ Use the Zero Line as a Trend Filter → A score above 0 suggests bullish conditions, while below 0 signals bearish conditions.
✅ Combine with Market Structure & Volume Profile → Works well when paired with support/resistance levels, liquidity zones, and order flow data.
✅ Adjust settings based on timeframe → Increase moving average length & lookback periods for longer-term analysis.
Why Use This Indicator?
🚀 Works for both short-term and long-term traders → Adapts to intraday and higher timeframes.
📊 Multi-Factor Analysis → Combines multiple key market indicators for better accuracy.
🎯 Customizable Weighting → Adjust the influence of each signal to suit your trading style.
✅ No Clutter – Only the Opening Score is plotted → Keeps your chart clean & efficient.
🔔 Recommended for Intraday Trading (1m – 30m) AND Longer-Term Analysis (1H – Weekly) → Use this indicator to enhance your trend detection & reversal strategy! 🚀
Bollinger Bands StrategyBollinger Bands Mean Reversion Strategy
1. Strategy Concept
This is a mean reversion strategy that assumes stock prices will return to their historical average after extreme moves. We use Bollinger Bands to identify when an asset is overbought or oversold:
• If the price drops below the lower Bollinger Band, it’s considered oversold, and we buy (expecting a rebound).
• If the price rises above the upper Bollinger Band, it’s considered overbought, and we sell (expecting a pullback).
2. Indicators Used
• 20-day Moving Average (MA20): Represents the mean price over 20 days.
• Upper Band: MA20 + 2 standard deviations (defines overbought conditions).
• Lower Band: MA20 - 2 standard deviations (defines oversold conditions).
3. Trading Rules
• Buy when the price drops below the lower Bollinger Band (oversold).
• Sell when the price rises above the upper Bollinger Band (overbought).
• Exit the position when the price returns to the moving average (mean reversion).
4. Example Scenario
1. The stock price falls sharply below the lower Bollinger Band → Buy signal.
2. The price gradually moves back toward the 20-day moving average → Exit (take profit).
3. If the price breaks above the upper Bollinger Band → Sell signal.
4. The price moves back down to the mean → Exit short position.
5. Strengths of This Strategy
✅ Systematic approach (eliminates emotions).
✅ Works well in sideways (range-bound) markets where prices oscillate around a mean.
✅ Simple and easy to implement with minimal parameters.
6. Weaknesses & Risks
⚠️ Doesn’t work well in strong trends (if the price keeps falling, a buy might be too early).
⚠️ False signals can occur in volatile markets.
⚠️ Needs proper risk management (stop-loss placement is crucial).
Would you like to backtest this strategy to see how profitable it is over time?
EUR USD ATR e Volatilità Storica Combinata OttimizzataL'indicatore combinato ATR e Volatilità Storica offre una visione più completa della volatilità di un asset, combinando due misurazioni chiave:
Funzionamento:
ATR (Average True Range):
Misura il range medio di prezzo su un periodo specifico.
Calcola la differenza tra il massimo e il minimo dei prezzi, offrendo una misura diretta della volatilità basata sui movimenti di prezzo effettivi.
Volatilità Storica:
Calcola la deviazione standard dei rendimenti dei prezzi su un periodo specifico.
Offre una misura statistica della dispersione dei rendimenti rispetto alla loro media.
Normalizzazione e Media Ponderata:
I valori di ATR e volatilità storica sono normalizzati rispetto al prezzo medio dell'asset.
Una media ponderata dei due indicatori è calcolata per ottenere un valore combinato, con pesi regolabili in base alle preferenze di trading.
A cosa Serve:
Gestione del Rischio: Identifica periodi di alta volatilità, aiutando i trader a gestire meglio il rischio delle loro operazioni.
Previsione dei Movimenti: Fornisce indicazioni sui potenziali movimenti di prezzo, migliorando le decisioni di trading.
Analisi Completa: Combina i movimenti di prezzo effettivi e la dispersione dei rendimenti, offrendo una visione più dettagliata della volatilità.
The combined ATR and Historical Volatility indicator offers a more comprehensive view of an asset's volatility by combining two key measurements:
Operation:
ATR (Average True Range):
Measures the average price range over a specific period.
It calculates the difference between the high and low of prices, offering a direct measure of volatility based on actual price movements.
Historical Volatility:
Calculates the standard deviation of price returns over a specific period.
It offers a statistical measure of the dispersion of returns relative to their average.
Normalization and Weighted Average:
ATR and historical volatility values are normalized to the average price of the asset.
A weighted average of the two indicators is calculated to obtain a combined value, with weights adjustable based on trading preferences.
What is it for:
Risk Management: Identifies periods of high volatility, helping traders better manage the risk of their trades.
Movement Prediction: Provides information on potential price movements, improving trading decisions.
Comprehensive Analysis: Combines actual price movements and dispersion of returns, giving you a more detailed view of volatility.
Practical Use:
Continuous Monitoring: Test the indicator on different assets and timeframes to adapt it to specific market conditions.
Backtesting and Forward Testing: Test historical and real-time data to optimize indicator settings.
This indicator is particularly useful for traders who want a more complete and detailed view of volatility, adaptable to different assets and timeframes.
FREE SCRIPT
SCRIPT LIBERO
//@version=6
indicator("ATR e Volatilità Storica Combinata Ottimizzata per Timeframe Corti", shorttitle="ATR_VS_Combinata", overlay=false)
// Parametri dell'ATR e della Volatilità Storica
lengthATR = input.int(5, title="Lunghezza ATR")
lengthVol = input.int(5, title="Lunghezza Volatilità Storica")
// Calcolo dell'ATR
atrValue = ta.atr(lengthATR)
// Calcolo della Volatilità Storica
returns = math.log(close / close )
volatility = ta.stdev(returns, lengthVol)
// Calcolo dei valori normalizzati con offset
atrNormalized = (atrValue / ta.sma(close, lengthATR)) + 0.0001
volNormalized = (volatility / ta.sma(close, lengthVol)) + 0.0001
// Media ponderata (modifica i pesi secondo le tue preferenze)
w1 = input.float(0.7, title="Peso ATR")
w2 = input.float(0.3, title="Peso Volatilità")
combinedIndicator = (w1 * atrNormalized) + (w2 * volNormalized)
// Plot dell'indicatore combinato
plot(combinedIndicator, title="Indicatore Combinato", color=color.blue)
// Plot delle singole componenti per confronto visivo
plot(atrNormalized, title="ATR Normalizzato", color=color.red, linewidth=1, style=plot.style_histogram)
plot(volNormalized, title="Volatilità Normalizzata", color=color.green, linewidth=1, style=plot.style_histogram)
Normalized ROC²Normalized Rate of Change of Rate of Change (ROC²) Histogram
Overview
The Normalized ROC² Histogram is a momentum-based indicator designed to detect potential trend reversals by measuring the rate of change of the rate of change of price (the second derivative of price movement). This provides insight into when momentum is slowing down, signaling that a price reversal may be approaching.
The indicator also dynamically changes color to highlight shifts in momentum strength, allowing traders to visualize when price acceleration is increasing or decreasing.
How It Works
🔹 Zero Line Crossovers → Potential Direction Change
• When the histogram approaches zero and crosses over, it suggests that price momentum is shifting and a reversal may be imminent.
• Positive to Negative Crossover: Bearish momentum shift.
• Negative to Positive Crossover: Bullish momentum shift.
🔹 Momentum Strength Visualization → Color Shift
• Dark Blue (⬆️ Increasing Positive Momentum) → Price is accelerating upward.
• Light Blue (🔽 Decreasing Positive Momentum) → Uptrend is weakening.
• Dark Red (⬇️ Increasing Negative Momentum) → Price is accelerating downward.
• Light Red (🔼 Decreasing Negative Momentum) → Downtrend is weakening.
🔹 Normalization for Cleaner Visualization
• Prevents extreme volatility spikes from distorting the histogram.
• Normalizes values on a 0 to 100 scale, ensuring consistent bar height.
How to Use It
✅ Watch for Crossovers Near Zero → These can indicate a trend reversal is forming.
✅ Observe Color Changes → A shift from dark to light signals a deceleration, which often precedes price turning points.
✅ Combine with Other Indicators → Works well with Volume Profile, Moving Averages, and Market Structure analysis.
Why This Indicator is Unique
🚀 Second-derivative momentum detection → Provides early insight into potential price shifts.
📊 Normalized bars prevent distortion → No more extreme spikes ruining the scale.
🎯 Color-coded visual cues → Instantly see when momentum is gaining or fading.
📌 Add the Normalized ROC² Histogram to your charts today to detect potential reversals and momentum shifts in real-time! 🚀