Synthetic OrderBookHow to Use the Enhanced Synthetic OrderBook Indicator
This indicator creates a synthetic representation of market order book data using price action, volume, and other technical factors. It's designed to help you identify significant market imbalances and potential price reversals, especially useful for crypto trading.
Overview
The Enhanced Synthetic OrderBook provides three different view modes, each offering unique insights into market conditions:
1. **Order Book View** - Shows simulated order book depth at different price levels
2. **Delta View** - Displays the imbalance between buying and selling pressure
3. **Liquidation View** - Highlights potential liquidation events that could drive price movements
How to Use Each View Mode
Order Book View
This view simulates what you would see in an exchange order book, showing bids (buy orders) in green and asks (sell orders) in orange/red.
**How to interpret:**
- **Green bars (bids)**: Represent buying interest at different price levels below the current price
- **Red bars (asks)**: Represent selling interest at different price levels above the current price
- **Bar height**: Taller bars indicate stronger buying/selling interest
- **Threshold lines**: The green line shows the bullish threshold, while the red line shows the bearish threshold
**Trading signals:**
- When green bars (bids) consistently exceed the bullish threshold, consider buying
- When red bars (asks) consistently exceed the bearish threshold, consider selling
- Look for imbalances where bids are significantly larger than asks (or vice versa)
Delta View
This view shows the difference between buying and selling pressure across different price ranges. It's more focused on the imbalance rather than raw order book depth.
**How to interpret:**
- **Green bars**: Positive delta (more buying than selling pressure)
- **Red bars**: Negative delta (more selling than buying pressure)
- **Threshold lines**: Indicate significant levels of imbalance
- **Zero line**: Neutral point between buying and selling pressure
**Trading signals:**
- When delta stays consistently above the bullish threshold, it suggests strong buying pressure
- When delta stays consistently below the bearish threshold, it suggests strong selling pressure
- Changes in direction of the delta can signal potential reversals
- When the bids/asks delta shallows
Liquidation View
This view estimates potential liquidation events in the market, which often lead to sharp price movements.
**How to interpret:**
- **Green bars**: Potential long liquidations (forced selling from leveraged long positions)
- **Red bars**: Potential short liquidations (forced buying from leveraged short positions)
- **Bar height**: Indicates the estimated severity of liquidations
**Trading signals:**
- Large liquidation events often lead to price continuation in that direction
- After a series of liquidations, the market may become exhausted, suggesting a potential reversal
- Short liquidations (red) tend to create faster upward price movements than long liquidations
Tips for Beginners
1. **Start with the Order Book view** to get a feel for buying and selling pressure
2. **Use the Delta view** for confirmation of trends and potential reversals
3. **Check the Liquidation view** when markets are volatile to anticipate sharp moves
4. **Watch for strong buy/sell signals** (green/red arrows) which suggest high-confidence trade opportunities
5. **Customize the threshold levels** in the settings to match the volatility of the asset you're trading
6. **Higher timeframes** (4H, daily) generally provide more reliable signals than lower timeframes
## Important Settings to Adjust
- **Order Book/Delta Thresholds**: Adjust these based on the asset's volatility (higher for more volatile assets)
- **Show Bids/Asks**: Toggle to focus on specific directions
- **Adaptive Threshold**: Enables the indicator to automatically adjust sensitivity based on market conditions
- **Volume Profile**: Uses historical volume distribution to improve accuracy
This indicator works best when combined with other confirmation tools like support/resistance levels, trend analysis, and traditional technical indicators.
Pengayun
EMA Adaptive Trailing StopThe EMA Adaptive Trailing Stop Strategy is a versatile and comprehensive Pine Script designed for TradingView. This script provides an adaptive trailing stop mechanism that leverages the Exponential Moving Average (EMA) to adjust trailing stops based on market conditions. The strategy dynamically switches between trending and ranging markets by utilizing both Average True Range (ATR) and Average Directional Index (ADX) to detect market conditions.
Key Features:
EMA-Based Trailing Stop:
The script uses the EMA value to set trailing stops precisely. The EMA offers a more responsive calculation to price changes, ensuring closer and more accurate trailing stops that follow market movements effectively.
Market Condition Detection:
The script employs ATR and ADX to distinguish between trending and ranging markets. ATR measures market volatility, while ADX gauges trend strength. The combination of these two indicators provides a more accurate market condition detection.
Customizable Settings:
The script offers various flexible parameters to adjust EMA length, multipliers, and ATR length. Users can customize these settings according to their preferences and trading strategy.
Two Modes:
The script adapts to market conditions by providing two modes: trending mode and ranging mode. In trending mode, the trailing stop is tighter to follow price movements closely, whereas in ranging mode, the trailing stop is looser to accommodate lower volatility.
Entry and Exit Conditions:
The script detects market conditions to set buy and sell signals. These conditions include the calculations of EMA, ATR, and ADX to ensure the signals generated are valid and profitable.
Alerts:
The script provides buy and sell signals through alert conditions for efficient trade management. Users can enable these alerts to get real-time notifications when valid buy or sell signals are detected.
Suitable for Scalping and Swing Trading:
The script is well-suited for both scalping and swing trading strategies. Scalpers can benefit from the responsive and tighter trailing stops during trending conditions, while swing traders can take advantage of the adaptive and looser trailing stops during ranging conditions, allowing them to capture larger price movements.
Explanation of Mode 1 and Mode 2:
Mode 1: Trending Market:
In this mode, the market is identified as trending based on the ADX and ATR values.
LONG 1: This label indicates a buy signal in the trending market mode. It signifies that the trailing stop has been activated and a long position (buy) should be taken when the market is trending.
SHORT 1: This label indicates a sell signal in the trending market mode. It signifies that the trailing stop has been activated and a short position (sell) should be taken when the market is trending.
Mode 2: Ranging Market:
In this mode, the market is identified as ranging based on the ADX and ATR values.
LONG 2: This label indicates a buy signal in the ranging market mode. It signifies that the trailing stop has been activated and a long position (buy) should be taken with a looser trailing stop when the market is ranging.
SHORT 2: This label indicates a sell signal in the ranging market mode. It signifies that the trailing stop has been activated and a short position (sell) should be taken with a looser trailing stop when the market is ranging.
Technical Usage:
Variable Initialization:
The script initializes variables to store values such as trailing stop, long position status, and short position status.
Market Condition Detection:
The script calculates ATR and ADX values to detect whether the market is trending or ranging. This includes the use of f_adx function to calculate ADX values and determine market conditions.
EMA-Based Trailing Stop Calculation:
The script adjusts the trailing stop based on EMA values and ATR. The calculation involves customizable multipliers and parameters that influence the trailing stop's precision.
Plot Trailing Stop:
The script displays the trailing stop on the chart for clear visualization. This includes plotting the trailing stop line with appropriate colors to indicate long and short positions.
Entry and Exit Conditions:
The script determines the entry (buy) and exit (sell) conditions based on market condition detection and trailing stop settings. These conditions are crucial for generating valid buy or sell signals.
Plotshape and Alert:
The script provides plotshapes for buy and sell signals and sets up alert conditions for real-time notifications when a valid buy or sell signal is detected.
Ragi's Divergence HelperThis is Ragi's Divergence Helper is a TradingView indicator designed to track bullish and bearish divergences across multiple timeframes. It provides a clear, structured dashboard that remains fixed in a chosen corner of the chart for easy visibility.
Recommendations:
Put dashboard on lower left corner is less obstructive.
Use along with any RSI indicator for confirmations of bullish and bearish divergences.
Key Features:
✅ Timeframe Coverage: Monitors 5m, 10m, 15m, 30m, 1H, 2H, 4H, and Daily timeframes.
✅ Divergence Detection: Identifies whether a bullish (green) or bearish (red) divergence is present on each timeframe, displaying "None" if no divergence is detected.
✅ Divergence Lineup: Summarizes the overall market direction by checking if multiple timeframes align bullish or bearish.
✅ Customizable Settings: Users can adjust colors, panel position (Top Right, Bottom Right, Bottom Left, Top Left), and background color for better chart integration.
✅ Fixed & Readable Panel: Ensures the information is always visible without interfering with price action analysis.
How to Use It:
If multiple timeframes show bullish divergences, it may indicate a potential trend reversal or continuation to the upside.
If multiple timeframes show bearish divergences, it may signal a possible price drop or reversal downward.
When no divergences are present, it suggests no immediate divergence-based trading opportunity.
This indicator is ideal for traders looking for quick divergence insights across different timeframes without needing to analyze multiple indicators manually. 🚀
+ Stochastic S/R ZonesHey, all. I have a new indicator here that displays zones on your price chart where the stochastic oscillator has moved out of overbought or oversold back into the range of the indicator that is bounded by those two levels.
I know there are many support and resistance indicators on TradingView already, at least a couple of which use the RSI in a similar way as I am using the stochastic here, but I still believe this is a fairly novel interpretation of the stochastic, and it is, in my opinion, a better oscillator than the RSI to be used in this way.
In addition to the zones being plotted on the chart, the indicator also, optionally, can color candles or plot shapes above candles when the 50 line is crossed, so if you want to use this as a simple momentum indicator without desire of having the below chart indicator taking up screen space, you're pretty much covered on the typical signals you might want from it (with the exception of %K / %D crosses, but there are alerts for that).
Visually, it is a simple, clean indicator. There are the zones, and then candle colors or shapes if you opt to add those. These zones are actually drawn from the candle preceding the cross over or cross under. Reason for that is often times the candle of the cross is fairly impulsive and exiting a consolidation. That period of consolidation is what is important to highlight, at least as far as I am concerned. The zones themselves extend until they are broken by a candle. A support zone stops at the candle that closes below its low. Vice versa for a resistance zone.
Usage is fairly simple. All the standard stochastic inputs are available for you to adjust to your heart's content. Additionally, you can choose either the %K or %D line to use as the source from which the zones are drawn, candles are colored, and shapes are plotted. Not sure if this will matter to most people, but I figured it should be made available.
This should be obvious, but I feel it must be said, just because an oscillator (any oscillator) has exited overbought or oversold does not mean that there must be a reversal (or in the case of a trend pullback, continuation). The oscillator can always simply immediately move back into overbought/sold. Just because a support box prints does not mean you should mortgage your house on a long trade. In strong trends, and depending on your oscillator settings, the indicator might draw a box then only a couple of candles later break it, continuing on with the trend. This of course is telling you something, and you would be wise to listen. As with all things trading, context is important.
Here are a few extra screens for you.
I really hope you all like this. It's been ages since I've created anything new, and despite its simplicity and the few lines of code that make it up, it took a lot of work, as I am a poor coder.
Enjoy,
Scott
Astro: Moon SizeThe Astro: Moon Size indicator, built using AstroLib , calculates the distance and visualizes the apparent size of the Moon based on astronomical positioning. This script is tailored for the 1D timeframe and provides insights into lunar perigees (closest approach) and apogees (farthest distance), making it useful for astrologically-informed trading strategies.
New Astro Indicators Feature:
By setting the Julian Date to X number of days in the future, and offsetting the plot by X number of bars accordingly, it is now possible to visualize future projections of TradingView indicators that reference the AstroLib . This feature has been long requested and is far overdue, so thank you to everyone who pushed for this feature release. Enjoy, time travelers from the future!!
Key Features:
Moon Size Calculation: Uses Julian Date (J2000) conversion and AstroLib functions to determine the Moon's apparent distance.
Future Projection: Displays the Moon's distance from 28 up to 500 days ahead, with color gradients indicating proximity/size.
Pivot Identification: Marks local maxima (apogees) and minima (perigees) with labeled date stamps for easy reference.
Dynamic Labeling: Adapts label positioning and size based on the Moon's current trend and relative size.
Usage Notes:
⚠️ Timeframe Restriction: For now, the script only functions on the 1D timeframe and will prompt an error otherwise.
⚠️ Asset Restriction: This script is meant to be loaded on charts for assets that trade 24/7, like BTCUSD historical index.
Trend Detector [victhoreb]Trend Detector is a streamlined indicator that uses the Pearson correlation coefficient between the average price and time to determine market trends. It measures how closely price movement follows the progression of time over a user-defined period, providing a clear gauge of trend direction on a scale from -1 to 1.
How It Works:
The indicator calculates the correlation between price and time. A positive correlation means that as time advances, the price generally rises—signaling an uptrend. Conversely, a negative correlation indicates that the price tends to fall over time, highlighting a downtrend.
With its simple yet effective approach, Trend Detector offers traders an immediate visual and quantitative insight into prevailing market trends.
RSI Trend Bias█ OVERVIEW
The RSI Trend Bias indicator is a custom technical analysis tool that utilizes the Relative Strength Index (RSI) to gauge market momentum and identify potential trend shifts. By monitoring RSI crossovers and crossunders relative to customizable threshold levels, the indicator provides clear visual cues that distinguish between bullish and bearish market conditions. This flexible approach makes it suitable for both short-term scalping and longer-term trend analysis.
█ KEY FEATURES
Dynamic RSI Trend Detection
The indicator dynamically determines market bias by monitoring the RSI for crossovers above the upper threshold and crossunders below the lower threshold. This method ensures that only significant momentum shifts trigger a change in trend, reducing false signals in volatile markets.
Adaptive Visualizations
The RSI Trend Bias indicator enhances clarity by plotting the RSI with colors that reflect current market conditions. Additionally, it offers an optional background color change to further emphasize bullish or bearish states, providing immediate visual feedback to traders.
Clear Threshold Indicators
Upper and lower threshold levels are plotted as constant reference lines, clearly delineating overbought and oversold regions. These markers help traders quickly assess market conditions at a glance.
Customizable Settings
Users have full control over key parameters including the RSI length, threshold levels, and visual settings. This customization allows the indicator to be tailored for different markets and trading styles, ensuring optimal performance across various timeframes.
█ UNDERLYING METHODOLOGY & CALCULATIONS
RSI Calculation
The indicator computes the Relative Strength Index over a user-defined period (default is 14), providing a measure of market momentum that reflects price changes over time.
Trend Determination Logic
By detecting when the RSI crosses above the upper threshold, the indicator signals a shift towards bullish momentum. Conversely, a crossunder below the lower threshold indicates bearish conditions. This straightforward binary approach filters out minor fluctuations, ensuring clarity in trend analysis.
Visual Signal Integration
Based on the detected trend, the RSI line is dynamically colored—green for bullish conditions and red for bearish conditions. An optional background color change further reinforces these signals, offering an immediate visual cue of prevailing market sentiment.
█ HOW TO USE THE INDICATOR
1 — Apply the Indicator
• Add the RSI Trend Bias indicator to a separate pane in your trading platform.
2 — Adjust Settings for Your Market
• RSI Length – Define the period for RSI calculation (default is 14).
• Threshold Levels – Set the upper (default 70) and lower (default 30) thresholds to identify overbought and oversold conditions.
• Visual Customization – Choose the bullish (green) and bearish (red) colors, and enable background color changes to enhance visual trend recognition.
3 — Interpret the Signals
• RSI Line – Observe the dynamically colored RSI line; a shift to green signals bullish momentum, while red indicates bearish conditions.
• Threshold Levels – Use the constant upper and lower lines as reference points for overbought and oversold states.
• Signal Timing – A crossover above the upper threshold or a crossunder below the lower threshold suggests potential entry or exit points.
4 — Integrate with Your Trading Strategy
• Combine RSI Trend Bias signals with other technical analysis tools to confirm market direction.
• Utilize the visual cues for fine-tuning your entry and exit decisions, ensuring robust risk management and optimized trade timing.
█ CONCLUSION
The RSI Trend Bias indicator offers a streamlined yet effective approach to monitoring market momentum. By leveraging the established principles of RSI analysis alongside dynamic visual cues, it enables traders to quickly identify bullish and bearish trends. Its customizable features and clear threshold indicators make it a valuable tool for enhancing technical analysis and making informed trading decisions.
Crypto Fear & Greed Score [Underblock]Crypto Fear & Greed Score - Methodology & Functioning
Introduction
The Crypto Fear & Greed Score is a comprehensive indicator designed to assess market sentiment by detecting extreme conditions of panic (fear) and euphoria (greed). By combining multiple technical factors, it helps traders identify potential buying and selling opportunities based on the emotional state of the market.
This indicator is highly customizable, allowing users to adjust weight parameters for RSI, volatility, Bitcoin dominance, and trading volume, making it adaptable to different market conditions.
Key Components
The indicator consists of two primary sub-scores:
Fear Score (Panic) - Measures the intensity of fear in the market.
Greed Score (Euphoria) - Measures the level of overconfidence and excessive optimism.
The difference between these two values results in the Net Score, which indicates the dominant market sentiment at any given time.
1. Relative Strength Index (RSI)
The indicator utilizes multiple RSI timeframes to measure momentum and overbought/oversold conditions:
RSI 1D (Daily) - Captures medium-term sentiment shifts.
RSI 4H (4-hour) - Identifies short-term market movements.
RSI 1W (Weekly) - Helps detect long-term overbought/oversold conditions.
2. Volatility Analysis
High volatility is often associated with fear and panic-driven selling.
Low volatility in bullish markets may indicate complacency and overconfidence.
3. Bitcoin Dominance (BTC.D)
Bitcoin dominance provides insights into capital flow between Bitcoin and altcoins:
Rising BTC dominance suggests fear as investors move into BTC for safety.
Declining BTC dominance indicates increased risk appetite and potential market euphoria.
4. Buying and Selling Volume
The indicator analyzes both buying and selling volume, ensuring a clearer confirmation of market sentiment.
High buying volume in uptrends reinforces bullish momentum.
Spikes in selling volume indicate panic and possible market bottoms.
Calculation Methodology
The indicator allows users to adjust weight parameters for each component, making it adaptable to different trading strategies. The formulas are structured as follows:
Fear Score (Panic Calculation)
Fear Score = (1 - RSI_1D) * W_RSI1D + (1 - RSI_4H) * W_RSI4H + (1 - Dominance) * W_Dominance + Volatility * W_Volatility + Sell Volume * W_SellVolume
Greed Score (Euphoria Calculation)
Greed Score = RSI_1D * W_RSI1D + RSI_4H * W_RSI4H + Dominance * W_Dominance + (1 - Volatility) * W_Volatility + Buy Volume * W_BuyVolume
Net Fear & Greed Score
Net Score = (Greed Score - Fear Score) * 100
Interpretation:
Above 70: Extreme greed -> possible overbought conditions.
Below -70: Extreme fear -> potential buying opportunity.
Near 0: Neutral market sentiment.
Trend Reversal Detection
The indicator includes two moving averages for enhanced trend detection:
Short-term SMA (50-periods) - Reacts quicklier to changes in sentiment.
Long-term SMA (200-periods) - Captures broader trend reversals.
How Crossovers Work:
Short SMA crossing above Long SMA -> Potential bullish reversal.
Short SMA crossing below Long SMA -> Possible bearish trend shift.
Alerts for SMA crossovers help traders act on momentum shifts in real-time.
Customization and Visualization
The Net Score dynamically changes color: green for greed, red for fear.
Users can adjust weightings directly from settings, avoiding manual script modifications.
Reference levels at 70 and -70 provide clarity on extreme market conditions.
Conclusion
The Crypto Fear & Greed Score provides a powerful and objective measure of market sentiment, helping traders navigate extreme conditions effectively.
🟢 If the Net Score is below -70, panic may present a buying opportunity.
🔴 If the Net Score is above 70, excessive euphoria may indicate a selling opportunity.
⚖️ Neutral values suggest a balanced market sentiment.
By customizing weight parameters and utilizing trend reversal alerts, traders can gain a deeper insight into market psychology and make more informed trading decisions. 🚀
Enhanced BarUpDn StrategyEnhanced BarUpDn Strategy
The Enhanced BarUpDn Strategy is a refined price action-based trading approach that identifies market trends and reversals using bar formations. It focuses on detecting bullish and bearish momentum by analyzing consecutive price bars and key support/resistance levels.
Key Features:
✅ Trend Confirmation – Uses a combination of bar patterns and indicators (e.g., moving averages, RSI) to confirm momentum shifts.
✅ Entry Signals – A buy signal is triggered when an "Up Bar" (higher high, higher low) follows a bullish setup; a sell signal when a "Down Bar" (lower high, lower low) confirms bearish momentum.
✅ Enhanced Filters – Incorporates volume analysis and additional conditions to reduce false signals.
✅ Stop-Loss & Risk Management – Uses recent swing highs/lows for stop placement and dynamic trailing stops for maximizing gains.
Trendchange Zones Indicator | iSolani
Spotting Reversals Before They Happen: The iSolani Trendshift System
Where RSI Meets Smart Volume Analysis - Your Visual Guide to Market Turns
Core Methodology
RSI-Powered Zones
Identifies critical levels using:
14-period RSI (default) with 70/30 thresholds
Semi-transparent boxes marking overbought (red) and oversold (green) territories
Zone persistence until RSI returns to neutral range
Dynamic Level Tracking
Plots evolving support/resistance using:
Pivot highs/lows with 15-bar lookback (default)
Auto-extending lines that adapt to new price extremes
Volume-Confirmed Breakouts
Flags significant moves with:
5/10 EMA volume oscillator
20% volume threshold (default) for confirmation
Technical Innovation
Three-Layer Confirmation
Unique combination of:
Classic RSI extremes
Price structure through pivot points
Volume-fueled momentum shifts
Adaptive Visualization
Zones maintain historical context at 33% transparency
Dynamic lines extend indefinitely until invalidated
Discreet labels for breakout events
System Workflow
Calculates RSI values in real-time
Draws colored zones when RSI crosses 70/30
Marks pivot points every 15 bars (default)
Updates support/resistance lines on new pivots
Triggers alerts when price breaks levels with volume confirmation
Standard Configuration
RSI Settings : 14-period length
Pivot Detection : 15-bar left/right lookback
Visuals : 33% transparency zones with thin borders
Volume Threshold : 20% oscillator difference
Alerts : Breakout signals with "B" labels
This system transforms the classic RSI into a spatial analysis tool - not just showing when markets are overextended, but where they're likely to reverse. The dynamic lines act as moving barriers that adapt to market structure, while the volume filter ensures only high-conviction breaks get flagged. By layering momentum, price action, and volume dynamics, it creates a multi-spectrum view of potential trend changes.
Ichimoku-MACD Combined ScreenerScreener Combiné Ichimoku-MACD : Détection de signaux de retournement confirmés
Cet indicateur combine la puissance de l'Ichimoku Oscillator et du MACD/MM pour identifier des opportunités de trading de haute probabilité.
FONCTIONNEMENT :
- Détecte les signaux MACDUP (achat) uniquement lorsque la tendance Ichimoku est haussière
- Détecte les signaux MACDDOWN (vente) uniquement lorsque la tendance Ichimoku est baissière
- Filtre les faux signaux en exigeant une confirmation de tendance
SIGNAUX :
- Signal d'achat (barre verte) : MACDUP se produit pendant une tendance Ichimoku positive
- Signal de vente (barre rouge) : MACDDOWN se produit pendant une tendance Ichimoku négative
- Les signaux récents sont suivis pendant une période configurable pour faciliter le filtrage
UTILISATION COMME SCREENER :
- Dans le filtre, recherchez les valeurs "Signal Achat" > 0 pour les opportunités d'achat
- Dans le filtre, recherchez les valeurs "Signal Vente" > 0 pour les opportunités de vente
- Idéal pour détecter les retournements de tendance ou les reprises de tendance après consolidation
PARAMÈTRES AJUSTABLES :
- Configuration Ichimoku : personnalisez les périodes de calcul et la protection contre les faux signaux
- Configuration MACD/MM : ajustez les paramètres pour adapter la sensibilité
- Période de recherche : définissez combien de temps un signal reste actif pour le screener
Smart Buy/Sell Signal IndicatorOverview
The Smart Buy/Sell Signal Indicator is a multi-factor trading tool that i ntegrates Supertrend, Bollinger Bands, RSI, ADX, and Moving Averages to generate high-probability buy and sell signals. Unlike simple crossover-based strategies, this indicator leverages multiple layers of confirmation to reduce false signals and improve trade execution accuracy.
This indicator is designed for trend-following traders, scalpers, and swing traders, helping them identify key reversal points and momentum shifts with precise breakout conditions.
How It Works
The Smart Buy/Sell Signal Indicator filters out weak trade signals by combining trend, volatility, momentum, and strength indicators in the following manner:
✅ Supertrend-Based Trend Filtering:
• The script checks if the price is above or below the Supertrend level before confirming a buy or sell signal.
• Buy signals occur below the Supertrend Down level, confirming support.
• Sell signals occur above the Supertrend Up level, confirming resistance.
✅ Bollinger Bands for Overbought & Oversold Conditions:
• Buy signals are confirmed when price touches the Bollinger Lower Band (suggesting oversold conditions).
• Sell signals are confirmed when price touches the Bollinger Upper Band (suggesting overbought conditions).
• This ensures that trades occur at high-probability reversal zones, rather than random price action.
✅ RSI Momentum Confirmation:
• Buy trades trigger when RSI is below 50 (indicating strength building from an oversold region).
• Sell trades trigger when RSI is above 50 (indicating weakness forming in an overbought region).
• This ensures signals are momentum-backed and not counter-trend moves.
✅ ADX Strength Confirmation:
• The script filters signals using the ADX (Average Directional Index) to ensure that only trades with sufficient market strength are executed.
• If the ADX value is below a threshold (default: 15), the signal is ignored to prevent false breakouts in choppy markets.
✅ Confirmation Moving Average (MA) for Trend Validation:
• The script applies an additional confirmation filter using a Moving Average (SMA/EMA).
• Buy signals trigger only when the price is above the MA, aligning with trend direction.
• Sell signals trigger only when the price is below the MA, ensuring alignment with the broader market structure.
✅ Trade Cooldown Mechanism (Minimum Bars Between Signals):
• To avoid frequent signals in sideways markets, a cooldown period is implemented.
• Default: 5 bars between signals (adjustable).
• Prevents rapid consecutive trades, reducing false entries.
Key Features
✔️ Supertrend & Moving Average Confirmation – Ensures trades are taken only in the correct trend direction.
✔️ Bollinger Bands Integration – Helps identify high-probability reversal zones.
✔️ ADX Strength Filtering – Ensures trades are only executed when the market has enough strength.
✔️ Momentum-Based RSI Filtering – Avoids counter-trend trades and confirms directional strength.
✔️ Trade Cooldown Mechanism – Reduces overtrading and noise in sideways markets.
✔️ Webhook Alerts for Automation – Auto-execute trades or receive real-time notifications.
✔️ Customizable Inputs – Adjustable thresholds, EMA/SMA length, ADX filter, cooldown period for flexibility.
✔️ Works Across Multiple Timeframes – Suitable for scalping (5m, 15m), swing trading (1H, 4H), and position trading (Daily).
How to Use
📌 Scalping & Intraday Trading:
• Use on 5m, 15m, or 30m timeframes.
• Look for Bollinger Band touch + RSI confirmation + Supertrend support/resistance validation before entering trades.
📌 Swing Trading:
• Use on 1H or 4H timeframes.
• Enter only when ADX is strong and price aligns with Supertrend direction.
📌 Webhook Automation:
• Set up TradingView Alerts to auto-execute trades via Webhook-compatible platforms.
Why This Combination?
This indicator is not just a simple moving average crossover tool.
It is designed to filter out weak breakouts and only execute trades that have:
✅ Trend confirmation (Supertrend + Moving Average)
✅ Volatility filtering (Bollinger Bands for overbought/oversold confirmation)
✅ Momentum validation (RSI threshold filtering)
✅ Market strength requirement (ADX ensures sufficient momentum)
This multi-layered approach ensures that only the highest-quality setups are executed, improving both win rate and reliability.
Why It’s Worth Using?
🚀 Reduces False Breakouts – Avoids weak breakouts by requiring ADX confirmation.
🚀 Works in All Market Conditions – Trend-following logic for trending markets, volatility-based entries for reversals.
🚀 Customizable to Any Trading Style – Adjustable parameters for trend, momentum, and strength filtering.
🚀 Seamless Webhook Automation – Execute trades automatically with TradingView alerts.
🚀 Ready to trade smarter?
✅ Add the Smart Buy/Sell Signal Indicator to your TradingView chart today! 🎯🔥
Balance Price Range (BPR) IndicatorOverview
The BPR with Directional Momentum-Filtered Breakouts indicator is designed to identify Balanced Price Ranges (BPR) and d etect high-probability breakouts and breakdowns with directional momentum confirmation . By leveraging historical BPR structures, EMA-based momentum filtering , and a trade cooldown mechanism , this script provides a structured approach to identifying potential trading opportunities while reducing false signals.
This invite-only indicator is ideal for traders who seek precise breakout confirmation, reduced noise, and trend-following logic while maintaining flexibility through adjustable parameters.
How It Works
The script follows a multi-step breakout detection process by integrating multiple key technical components:
1. Balanced Price Range (BPR) Detection:
• A Balanced Candle is identified when the price remains within a specific percentage of its range midpoint.
• These BPR zones represent areas of equilibrium , where a breakout or breakdown is likely to occur.
• The script historically tracks BPR levels across the entire chart to monitor price action around key areas.
2. Momentum-Filtered Breakout & Breakdown Logic:
• Bullish Breakout: Occurs when the price breaks above the historical BPR high with bullish momentum.
• Bearish Breakdown: Occurs when the price breaks below the historical BPR low with bearish momentum.
• Momentum Confirmation: Each breakout requires a strong directional move, measured against the Exponential Moving Average (EMA) .
• Only confirmed breakouts are marked, reducing the likelihood of false signals in choppy markets.
3. Candle-Based Background Visualization:
• Grey Background: Represents a Balanced Price Range (BPR), indicating potential breakout zones.
• Green Background: Indicates a Bullish Breakout when the price successfully breaks and holds above the BPR high.
• Red Background: Indicates a Bearish Breakdown when the price drops below the BPR low.
4. Trade Cooldown Mechanism:
• Prevents consecutive signals from triggering too frequently.
• Default cooldown period: 5 bars (adjustable).
• Ensures that trades are not clustered, improving signal quality.
5. EMA for Trend Direction & Confirmation:
• A 20-period EMA (default, adjustable) is used to confirm trade direction.
• Breakouts above the EMA align with uptrend continuation.
• Breakdowns below the EMA align with downtrend momentum.
Key Features
✔️ Historical BPR Detection – Tracks past BPR levels across the entire chart for structured breakout zones.
✔️ Momentum-Based Breakouts – Ensures breakouts are confirmed by directional price movement before generating signals.
✔️ Candle-Based Background Logic – Subtle candle highlights rather than full background fills, for better chart clarity.
✔️ Trade Cooldown Period – Prevents consecutive buy/sell signals within a defined period, improving signal efficiency.
✔️ Dynamic EMA Confirmation – Ensures trades align with the overall trend, reducing counter-trend trades.
✔️ Customizable Inputs – Adjust breakout thresholds, EMA length, and cooldown periods as per trading style.
✔️ Works Across Multiple Timeframes – Can be applied to intraday, swing, and positional trading strategies.
How to Use
1. Look for Balanced Price Ranges ( BPR )
• These zones highlight equilibrium areas where price is likely to break out.
• Grey-shaded candles indicate potential breakout zones.
2. Monitor for Bullish or Bearish Breakouts
• A green candle background signals a bullish breakout above BPR.
• A red candle background signals a bearish breakdown below BPR.
• The EMA filter helps confirm whether the breakout aligns with the prevailing trend.
3. Follow the Cooldown Logic
• After a breakout signal, wait for the cooldown period before another trade is allowed.
• This helps filter out noisy price action and prevents excessive trading.
4. Use Alongside Other Indicators
• Works well with volume analysis, support/resistance levels, and price action strategies.
• Can be combined with other momentum indicators for further trade confirmation.
Why This Combination?
Unlike generic breakout indicators, this script uniquely combines:
• BPR historical structures for defining potential breakout zones.
• Momentum-based breakout filtering using EMA confirmation.
• Trade cooldown logic to avoid excessive trading signals.
• Subtle candle-based highlights instead of cluttered full-background fills.
This structured approach makes the indicator more robust, adaptive, and reliable in different market conditions.
Why It’s Worth Using?
🔹 Avoid False Breakouts: Built-in momentum confirmation prevents weak or fake breakouts.
🔹 Clean Visualization: No excessive overlays—just precise, meaningful background coloring for breakouts.
🔹 Works in Any Market: Use on stocks, crypto, forex, indices, and commodities across different timeframes.
🔹 User-Friendly & Customizable: Fine-tune parameters to match individual trading styles.
⚠️ Note: This is an Invite-Only script. Access is granted to selected users.
✅ If you find it useful, consider incorporating it into your trend-following & breakout trading strategies.
🚀 Optimize your trading with structured breakout detection! 🚀
MACD Highs and Lows - Dynamic Support & ResistanceDescription:
Enhance your trading strategy with the MACD Highs and Lows indicator, designed to identify dynamic support and resistance levels based on MACD crossovers. This tool plots key price levels triggered by shifts in MACD momentum, helping traders spot potential reversal zones, breakout points, and trend confirmation signals.
Key Features
Dynamic Levels: Automatically plots recent highs/lows when MACD crosses above/below the zero line.
Customizable MACD Parameters:
Adjustable fast/slow lengths (default: 12/26).
Choose between SMA or EMA for oscillator/signal line.
Flexible signal smoothing (1-50 periods).
Visual Clarity:
Clear green/red lines for highs and lows.
Tracks both price extremes and adjacent candle levels (e.g., high-of-low-bar, low-of-high-bar).
Multi-Timeframe Utility: Works across charts for swing trading, scalping, or trend analysis.
How It Works
Bullish Signal: When MACD crosses above zero, the indicator marks the recent lowest low (support) and its corresponding high.
Bearish Signal: When MACD crosses below zero, it plots the recent highest high (resistance) and its corresponding low.
Levels persist until the next crossover, creating actionable reference zones.
Use Cases
Trend Confirmation: Validate breakouts when price closes above/below plotted levels.
Stop Loss Placement: Set stops beyond recent dynamic highs/lows.
Divergence Detection: Spot discrepancies between MACD momentum and price action.
Settings Tips:
Increase Fast Length for responsiveness or Slow Length for smoother signals.
Use EMA for faster reactions, SMA for reduced noise.
RSI Alerts – Live & ConfirmedThe RSI Alerts – Live & Confirmed indicator enhances the traditional Relative Strength Index (RSI) by providing real-time alerts and confirmed breakout signals when RSI reaches key levels. It also features a dynamic RSI line color change for better visualization.
Key Features:
✅ Live & Confirmed Alerts:
Live Alert Mode: Triggers when RSI touches overbought (70) or oversold (30).
Confirmed Alert Mode: Triggers only when RSI closes above/below these levels, reducing false signals.
✅ Dynamic RSI Line Coloring:
Above 70: RSI turns green, indicating an overbought condition.
Below 30: RSI turns red, indicating an oversold condition.
Between 30 and 70: RSI remains blue, its normal color, ensuring no color leaks into invalid zones.
✅ Customizable RSI Settings:
Adjustable RSI length, overbought/oversold levels, and alert preferences.
Mid-Level (50) line for trend bias reference.
This indicator is perfect for traders who rely on RSI signals and want clear visual cues and real-time alerts for improved decision-making.
Serum Oscillator [ST]Serum Oscillator is an advanced technical indicator. This indicator combines several techniques and algorithms to provide traders with a robust tool for analyzing and predicting market movements. The indicator is not just an oscillator, but also includes functionalities for detecting divergences, mining flow, custom alerts, and more. Below is a detailed description of its features, components, and functionalities.
Characteristics
1. Oscillator and Signal: the indicator has a moving line that acts as a signal to determine the state of the market, whether bullish or bearish. In addition, this moving line can be switched between different types for greater accuracy, allowing it to better suit the trader's style.
2. Modes: the indicator has three modes to adapt to the market. Fast, Normal and Slow. The user can choose the mode that best suits his strategy. Fast mode generates very early signals, perfect for getting ahead of the market; however, it can also generate a greater number of false crosses. Slow mode generates fewer signals, perfect for filtering range zones.
3. Overbought and Oversold Levels: the indicator generates signals between values 0 and 100, for this reason it can be speculated that values 70 and 30 are overbought and oversold levels respectively; however, these levels can vary according to the modes. For this reason we designed the dynamic bands.
4. Multi Timeframe: Can observe data from a different time frame than the current chart. You will be able to observe the state of the oscillator and the direction.
5. Trend Catcher: tool to detect the market trend according to the indicator. Ideal for filtering false crossovers and trading in favor of the trend.
6. Smart Flow: Money flow optimized with AI to detect the overall money flow. Ideal for detecting trends. Additionally, you will be able to visualize the convergences between smart flow and the oscillator to operate in favor of the price trend. You can also activate thresholds, to detect when there is really a large monetary flow.
7. Divergences: Real-time detection of divergences to identify possible reversal zones. The user can adjust the sensitivity.
8. Alerts: Programmable alerts to automate the detection of various price conditions according to the indicator.
> This indicator is a comprehensive technical tool that provides traders with multiple capabilities to analyze market trends and reversals. Its combination of different types of smoothing and adaptive functions, along with the detection of divergences, trend lines, and custom alerts, makes it a powerful and versatile indicator for trading decision-making. The customization of its parameters and the depth of its calculations offer users a significant advantage in interpreting market data, facilitating more precise understanding and timely action in their trading operations.
Quantum Momentum FusionPurpose of the Indicator
"Quantum Momentum Fusion" aims to combine the strengths of RSI (Relative Strength Index) and Williams %R to create a hybrid momentum indicator tailored for volatile markets like crypto:
RSI: Measures the strength of price changes, great for understanding trend stability but can sometimes lag.
Williams %R: Assesses the position of the price relative to the highest and lowest levels over a period, offering faster responses but sensitive to noise.
Combination: By blending these two indicators with a weighted average (default 50%-50%), we achieve both speed and reliability.
Additionally, we use the indicator’s own SMA (Simple Moving Average) crossovers to filter out noise and generate more meaningful signals. The goal is to craft a simple yet effective tool, especially for short-term trading like scalping.
How Signals Are Generated
The indicator produces signals as follows:
Calculations:
RSI: Standard 14-period RSI based on closing prices.
Williams %R: Calculated over 14 periods using the highest high and lowest low, then normalized to a 0-100 scale.
Quantum Fusion: A weighted average of RSI and Williams %R (e.g., 50% RSI + 50% Williams %R).
Fusion SMA: 5-period Simple Moving Average of Quantum Fusion.
Signal Conditions:
Overbought Signal (Red Background):
Quantum Fusion crosses below Fusion SMA (indicating weakening momentum).
And Quantum Fusion is above 70 (in the overbought zone).
This is a sell signal.
Oversold Signal (Green Background):
Quantum Fusion crosses above Fusion SMA (indicating strengthening momentum).
And Quantum Fusion is below 30 (in the oversold zone).
This is a buy signal.
Filtering:
The background only changes color during crossovers, reducing “fake” signals.
The 70 and 30 thresholds ensure signals trigger only in extreme conditions.
On the chart:
Purple line: Quantum Fusion.
Yellow line: Fusion SMA.
Red background: Sell signal (overbought confirmation).
Green background: Buy signal (oversold confirmation).
Overall Assessment
This indicator can be a fast-reacting tool for scalping. However:
Volatility Warning: Sudden crypto pumps/dumps can disrupt signals.
Confirmation: Pair it with price action (candlestick patterns) or another indicator (e.g., volume) for validation.
Timeframe: Works best on 1-5 minute charts.
Suggested Settings for Long Timeframes
Here’s a practical configuration for, say, a 4-hour chart:
RSI Period: 20
Williams %R Period: 20
RSI Weight: 60%
Williams %R Weight: 40% (automatically calculated as 100 - RSI Weight)
SMA Period: 15
Overbought Level: 75
Oversold Level: 25
Red & Green Zone ReversalOverview
The “Red & Green Zone Reversal” indicator is designed to visually highlight potential reversal zones on your chart by using a combination of Bollinger Bands and the Relative Strength Index (RSI).
It overlays on the chart and provides background color cues—red for oversold conditions and green for overbought conditions—along with corresponding alert triggers.
Key Components
Overlay: The indicator is set to overlay the chart, meaning its visual cues (colored backgrounds) are drawn directly on the price chart.
Bollinger Bands Calculation
Period: A 20-period simple moving average (SMA) is calculated from the closing prices.
Standard Deviation Multiplier: A multiplier of 2.0 is applied.
Bands Defined:
Basis: The 20-period SMA.
Deviation: Calculated as 2 times the standard deviation over the same period.
Upper Band: Basis plus the deviation.
Lower Band: Basis minus the deviation.
RSI Calculation
Period: The RSI is computed over a 14-period span using the closing prices.
Thresholds:
Oversold Threshold: 30 (used for the red zone condition).
Overbought Threshold: 70 (used for the green zone condition).
Zone Conditions
Red Zone (Oversold):
Criteria: The price is below the lower Bollinger Band and the RSI is below 30.
Purpose: Highlights a situation where the asset may be deeply oversold, signaling a potential reversal to the upside.
Green Zone (Overbought):
Criteria: The price is above the upper Bollinger Band and the RSI is above 70.
Purpose: Indicates that the asset may be overbought, potentially signaling a reversal to the downside.
Visual and Alert Components
Background Coloring:
Red Background: Applied when the red zone condition is met (using a semi-transparent red).
Green Background: Applied when the green zone condition is met (using a semi-transparent green).
Alerts:
Red Alert: An alert condition titled “Deep Oversold Alert” is triggered with the message “Deep Oversold Signal triggered!” when the red zone criteria are satisfied.
Green Alert: Similarly, an alert condition titled “Deep Overbought Alert” is triggered with the message “Deep Overbought Signal triggered!” when the green zone criteria are met.
Important Disclaimers
Not Financial Advice:
This indicator is provided for informational and analytical purposes only. It does not constitute trading advice or a recommendation to buy or sell any asset. Traders should use it as one of several tools in their analysis and should perform their own due diligence.
Risk Management:
Trading inherently involves risk. Past performance is not indicative of future results. Always implement appropriate risk management and use stop losses where necessary.
Summary
In summary, the “Red & Green Zone Reversal” indicator uses Bollinger Bands and RSI to detect extreme market conditions. It visually marks oversold (red) and overbought (green) conditions directly on the chart and offers alert conditions to help traders monitor these potential reversal points.
Enjoy!!
Multi-Asset & TF RSI
Multi-Asset & TF RSI
This indicator allows you to compare the Relative Strength Index (RSI) values of two different assets across multiple timeframes in a single pane. It’s ideal for traders who wish to monitor momentum across different markets or instruments simultaneously.
Key Features:
Primary Asset RSI:
The indicator automatically calculates the RSI for the chart’s asset. You can adjust the timeframe for this asset using a dropdown that offers standard TradingView timeframes, a "Chart" option (which syncs with your current chart timeframe), or a "Custom" option where you can enter any timeframe.
Optional Second Asset RSI:
Enable the “Display Second Asset” option to compare another asset’s RSI. Simply select the symbol (default is “DXY”) and choose its timeframe from an identical dropdown. When enabled, the second asset’s RSI is computed and plotted for easy comparison.
RSI Settings:
Customize the RSI length and choose the data source (e.g., close price) to suit your trading strategy.
Visual Aids:
Overbought (70) and oversold (30) levels are clearly marked, along with a midline at 50. These visual cues help you quickly assess market conditions.
Asset Information Table:
A dynamic table at the top of the pane displays the symbols being analysed – the chart’s asset as the “1st” asset and, if enabled, the second asset as the “2nd.”
How to Use:
Apply the Indicator:
Add the indicator to your chart. By default, it will calculate the RSI for the chart’s current asset using your chart’s timeframe.
Adjust Primary Asset Settings:
Use the “Main Asset Timeframe” dropdown to choose the timeframe for the RSI calculation on the chart asset. Select “Chart” to automatically match your current chart’s timeframe or choose a preset/custom timeframe.
Enable and Configure the Second Asset:
Toggle the “Display Second Asset” option to enable the second asset’s RSI. Select the asset symbol and its desired timeframe using the provided dropdown. The RSI for the second asset will be plotted if enabled.
Monitor the RSI Values:
Observe the plotted RSI lines along with the overbought/oversold levels. Use the table at the top-centre of the pane to verify which asset symbols are being displayed.
This versatile tool is designed to support multi-asset analysis and can be a valuable addition to your technical analysis toolkit. Enjoy enhanced RSI comparison across markets and timeframes!
Happy Trading!
Multi Asset & TF Stochastic
Multi Asset & TF Stochastic
This indicator allows you to compare the stochastic oscillator values of two different assets across multiple timeframes in a single pane. It’s designed for traders who want to analyse the momentum of one asset (by default, the chart’s asset) alongside a second asset of your choice (e.g., comparing EURUSD to the USD Index).
How It Works:
Main Asset:
The indicator automatically uses the chart’s asset for the primary stochastic calculation. You have the option to adjust the timeframe for this asset using a dropdown that includes TradingView’s standard timeframes, a "Chart" option (which automatically uses your chart’s timeframe), or a "Custom" option where you can type in any timeframe.
Second Asset:
You can enable the display of a second asset by toggling the “Display Second Asset” option. Choose the asset symbol (default is “DXY”) and select its timeframe from an identical dropdown. When enabled, the script calculates the stochastic oscillator for the second asset, allowing you to compare its momentum (%K and %D lines) with that of the main asset.
Stochastic Oscillator Settings:
Customize the %K length, the smoothing period for %K, and the smoothing period for %D. Both assets’ stochastic values are calculated using these parameters.
Visual Display:
The indicator plots the %K and %D lines for the main asset in prominent colours. If the second asset is enabled, its %K and %D lines are also plotted in different colours. Additionally, overbought (80) and oversold (20) levels are marked, with a midline at 50, making it easier to gauge market conditions at a glance.
%D line can be toggled off for a cleaner view if required:
Asset Information Table:
A table at the top-centre of the pane displays the active asset symbols—ensuring you always know which assets are being analysed.
How to Use:
Apply the Indicator:
Add the script to your chart. By default, it will use the chart’s current asset and timeframe for the primary stochastic oscillator.
Adjust the Main Asset Settings:
Use the “Main Asset Timeframe” dropdown to select a specific timeframe for the main asset or stick with the “Chart” option for automatic syncing with your current chart.
Enable and Configure the Second Asset (Optional):
Toggle on “Display Second Asset” if you wish to compare another asset. Select the desired symbol and adjust its timeframe using the provided dropdown. Choose “Custom” if you need a timeframe not listed by default.
Review the Plots and Table:
Observe the stochastic %K and %D lines for each asset. The overbought/oversold levels help indicate potential market turning points. Check the table at the top-centre to confirm the asset symbols being displayed.
This versatile tool is ideal for traders who rely on momentum analysis and need to quickly compare the stochastic signals of different markets or instruments. Enjoy seamless multi-asset analysis with complete control over your timeframe settings!
MACD+RSI Indicator Moving Average Convergence/Divergence or MACD is a momentum indicator that shows the relationship between two Exponential Moving Averages (EMAs) of a stock price. Convergence happens when two moving averages move toward one another, while divergence occurs when the moving averages move away from each other. This indicator also helps traders to know whether the stock is being extensively bought or sold. Its ability to identify and assess short-term price movements makes this indicator quite useful.
The Moving Average Convergence/Divergence indicator was invented by Gerald Appel in 1979.
Moving Average Convergence/Divergence is calculated using a 12-day EMA and 26-day EMA. It is important to note that both the EMAs are based on closing prices. The convergence and divergence (CD) values have to be calculated first. The CD value is calculated by subtracting the 26-day EMA from the 12-day EMA.
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The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to detect overbought or oversold conditions in the price of that security.
The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The indicator was developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, New Concepts in Technical Trading Systems.
In addition to identifying overbought and oversold securities, the RSI can also indicate securities that may be primed for a trend reversal or a corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought condition. A reading of 30 or below indicates an oversold condition.
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By combining them, you can create a MACD/RSI strategy. You can go ahead and search for MACD/RSI strategy on any social platform. It is so powerful that it is the most used indicator in TradingView. It is best for trending market. Our indicator literally let you customize MACD/RSI settings. Explore our indicator by applying to your chart and start trading now!
RSI Classic calculationClassic RSI with Moving Average
This script implements the Classic RSI (Relative Strength Index) method with the option to use either an Exponential Moving Average (EMA) or a Simple Moving Average (SMA) for smoothing the gains and losses. This custom implementation primarily aims to resolve a specific issue I encountered when cross-referencing RSI values with Python-based data, which is calculated differently than in Pine Script. However, the methodology here can benefit anyone who needs to align RSI calculations across different programming languages or platforms.
The Problem:
When working with Python for data analysis, the RSI values are calculated differently. The smoothing method, for example, can vary—RMA (Relative Moving Average) may be used instead of SMA or EMA, resulting in discrepancies when comparing RSI values across systems. To solve this problem, this script allows for the same type of smoothing to be applied (EMA or SMA) as used in Python, ensuring consistency in the data.
Why This Implementation:
The main goal of this approach was to align RSI calculations across Python and Pine Script so that I could cross-check the results accurately. By offering both EMA and SMA options, this script bridges the gap between Pine Script and Python, ensuring that the data is comparable and consistent. While this particular issue arose from my work with Python, this solution is valuable for anyone dealing with cross-platform RSI comparisons in different coding languages or systems.
Benefits:
Cross-Platform Consistency: This script ensures that RSI values calculated in Pine Script are directly comparable to those from Python (or any other platform), which is crucial for accurate analysis, especially in automated trading systems.
Flexibility: The ability to choose between EMA and SMA provides flexibility in line with the specific needs of your strategy or data source.
Ease of Use: The RSI is plotted with overbought and oversold levels clearly marked, making it easy to visualize and use in decision-making processes.
Limitations:
Calculation Differences: While this script bridges the gap between Pine Script and Python, if you're working with a different platform or coding language that uses variations like RMA, small discrepancies may still arise.
Sensitivity Trade-Off: The choice between EMA and SMA impacts the sensitivity of the RSI. EMA responds quicker to recent price changes, which could lead to faster signals, while SMA provides a more stable but slower response.
Conclusion:
This Classic RSI script, with its customizable moving average type (EMA or SMA), not only solves the issue I faced with Python-based calculations but also provides a solution for anyone needing consistency across different programming languages and platforms. Whether you're working with Pine Script, Python, or other languages, this script ensures that your RSI values are aligned for more accurate cross-platform analysis. However, always be mindful of the small differences that can arise when different smoothing techniques (like RMA) are used in other systems.
RSI/Stochastic With Real Time Candle OverlayThis indicator provides an alternative way to visualize either RSI or Stochastic values by representing them as candle bars in real time, allowing a more detailed view of momentum shifts within each bar. By default, it displays the standard historical plot of the chosen oscillator in the background, but once you are receiving real-time data (or if you keep your chart open through the close), it begins overlaying candles that track the oscillator’s intrabar movements. These candles only exist for as long as the chart remains open; if you refresh or load the chart anew, there is no stored candle history, although the standard RSI or Stochastic line is still fully retained. These candles offer insight into short-term fluctuations that are otherwise hidden when viewing a single line for RSI or Stochastic.
In the settings, there is an option to switch between standard candlesticks and Heiken Ashi. When Heiken Ashi is selected, the indicator uses the Heiken Ashi close once it updates in real time, producing a smoothed view of intrabar price movement for the oscillator. This can help identify trends in RSI or Stochastic by making it easier to spot subtle changes in direction, though some may prefer the unmodified values that come from using regular candles. The combination of these candle styles with an oscillator’s output offers flexibility for different analytical preferences.
Traders who use RSI or Stochastic often focus on entry and exit signals derived from crossing certain thresholds, but they are usually limited to a single reading per bar. With this tool, it becomes possible to watch how the oscillator’s value evolves within the bar itself, which can be especially useful for shorter timeframes or for those who prefer a more granular look at momentum shifts. The visual separation between bullish and bearish candle bodies within the indicator can highlight sudden reversals or confirm ongoing trends in the oscillator, aiding in more precise decision-making. Because the candle overlay is cleared as soon as the bar closes, the chart remains uncluttered when scrolling through historical data, ensuring that only the necessary real-time candle information is displayed.
Overall, this indicator is intended for users who wish to track intrabar changes in RSI or Stochastic, with the added choice of standard or Heiken Ashi candle representation. The real-time candle overlay clarifies short-lived fluctuations, while the standard line plots maintain the usual clarity of past data. This approach can be beneficial for those who want deeper insights into how oscillator values develop in real time, without permanently altering the simplicity of the chart’s historical view.
