Swing Profile Analyzer [ChartPrime]Swing Profile Analyzer
The Swing Profile Analyzer is a comprehensive tool designed to provide traders with valuable insights into swing frequency profiles, enabling them to identify key price levels and areas of market interest.
⯁ KEY FEATURES
Swing Frequency Profiles
Automatically plots frequency profiles for each swing, highlighting price distribution and key levels of significance.
Point of Control (POC) Line
Marks the price level with the highest number of closes within a swing, acting as a key area for potential price reactions.
Customizable Trend Display
Allows users to toggle between displaying profiles for bullish swings, bearish swings, or both, offering tailored analysis.
Integrated ZigZag Lines
Visualizes swing highs and lows, providing a clear picture of market trends and reversals.
Dynamic Profile Visualization
Profiles are color-coded to indicate the frequency of closes, with the highest value bins distinctly marked for easy recognition.
Max Frequency Highlight
Displays numerical values for the most active price level within each profile, showing how many closes occurred at the peak bin.
Updates only after swing formed
Profiles and POC lines automatically appear after swing is done
⯁ HOW TO USE
Identify Critical Price Levels
Use the POC line and frequency distribution to locate levels where price is likely to react or consolidate.
Analyze Swing Characteristics
Observe swing profiles to understand the strength, duration, and behavior of market trends.
Plan Entries and Exits
Leverage significant price levels and high-frequency bins to make more informed trading decisions.
Focus on Specific Trends
Filter profiles to analyze bullish or bearish swings based on your trading strategy.
⯁ CONCLUSION
The Swing Profile Analyzer is an essential tool for traders seeking to understand price dynamics within market swings. By combining frequency profiles, POC levels, and trend visualization, it enhances your ability to interpret and act on market movements effectively.
Trend Analysis
Dynamic Deviation Levels [BigBeluga]Dynamic Deviation Levels is an innovative indicator designed to analyze price deviations relative to a smoothed midline. It provides traders with visual cues for overbought/oversold zones, price momentum, levels through labeled deviations and gradient candle coloring.
🔵Key Features:
Smoothed Midline:
A central line calculated as a smoothed median of the price source, serving as the baseline for price deviation analysis.
Dynamic Deviation Levels:
- Three deviation levels are plotted above and below the midline, with labels (1, 2, 3, -1, -2, -3) marking significant price movements.
- Helps traders identify overbought and oversold market conditions.
Heat-Colored Candles:
- Candle colors shift in intensity based on the deviation level, with four gradient shades for both upward and downward movements.
- Quickly highlights market extremes or stable zones.
Interactive Color Scale:
- A gradient scale at the bottom right of the chart visually represents deviation values.
- A triangle marker indicates the current price deviation in real time.
Optional Deviation Levels Display:
- Traders can enable all dynamic levels on the chart to visualize support and resistance areas dynamically.
🔵Usage and Benefits:
Identify Overbought/Oversold Zones: Use labeled deviation levels and heat-colored candles to spot stretched market conditions.
Track Trend Reversals and Momentum: Monitor price interactions with deviation levels for potential trend continuation or reversal signals.
Real-Time Deviation Insights: Leverage the color scale and triangle marker for live deviation tracking and actionable insights.
Map Dynamic Support and Resistance: Enable dynamic levels to highlight key areas where price reactions are likely to occur.
Dynamic Deviation Levels is an indispensable tool for traders aiming to combine price dynamics, momentum analysis, and visual clarity in their trading strategies.
LeaderTitle: Leader
Category: Technical Analysis Indicator
Version: Pine Script v5
Author: Syed Irfan Baksh
Market: Works on all instruments & timeframes
Description:
The Leader indicator is a powerful trading tool designed for trend-based traders. It identifies high-probability buy and sell signals using a combination of Exponential Moving Averages (EMA), Relative Strength Index (RSI), and Stochastic Oscillator to minimize false entries.
💡 Key Features:
✅ EMA Trend Confirmation – Uses 9-period and 21-period EMAs to confirm bullish/bearish trends.
✅ RSI Strength Filter – Prevents weak signals by requiring RSI above 55 for buys and below 45 for sells.
✅ Stochastic Confirmation – Ensures oversold/overbought conditions are accounted for, reducing false breakouts.
✅ Clear Visual Alerts – Displays BUY and SELL signals directly on the chart for easy interpretation.
✅ Universal Compatibility – Works on all assets (Forex, Stocks, Crypto, Commodities) and all timeframes.
How to Use:
📈 Buy Signal:
The 9 EMA crosses above the 21 EMA.
RSI is above 55, indicating strong bullish momentum.
Stochastic (%K and %D) is above 25, confirming upward movement.
📉 Sell Signal:
The 9 EMA crosses below the 21 EMA.
RSI is below 45, signaling bearish momentum.
Stochastic (%K and %D) is below 75, confirming downward pressure.
Dynamic Median EMA | QuantEdgeBIntroducing Dynamic Median EMA by QuantEdgeB
Dynamic Median EMA | QuantEdgeB is an adaptive moving average indicator that blends median filtering, a volatility-based dynamic EMA, and customizable filtering techniques to create a responsive yet stable trend detection system. By incorporating Standard Deviation (SD) or ATR bands, this indicator dynamically adjusts to market conditions, making it a powerful tool for both traders and investors.
Key Features:
1. Dynamic EMA with Efficiency Ratio 🟣
- Adjusts smoothing based on market conditions, ensuring optimal responsiveness to price changes.
- Uses an efficiency ratio to dynamically modify the smoothing factor, making it highly adaptive.
2. Median-Based vs. Traditional EMA Source 📊
- Users can choose between a Median-based smoothing method (default: ✅ enabled ) or a traditional price source.
- The median filter provides better noise reduction in choppy markets.
3. Volatility-Based Filtering with Custom Bands 🎯
- Two filtering methods:
a. Standard Deviation (SD) Bands 📏 (default ✅) – Expands and contracts based on
historical deviation.
b. ATR Bands 📈 – Uses Average True Range (ATR) to adjust dynamic thresholds.
- The user can toggle between SD and ATR filtering, depending on market behavior.
4. Customizable Signal Generation ✅❌
- Long Signal: Triggered when the price closes above the selected upper filter band .
- Short Signal: Triggered when the price closes below the lower filter band .
- Dynamically adjusts based on the filtering method (SD or ATR).
5. Enhanced Visuals & Customization🎨
- Multiple color modes available (Default, Solar, Warm, Cool, Classic, X).
- Gradient filter bands provide a clearer view of volatility expansion/contraction.
- Candlestick coloring for instant visual confirmation of bullish/bearish conditions.
________
How It Works:
- Source Selection : Users can choose to use the median of price action or a traditional price feed as the base input for the Dynamic EMA.
- Dynamic EMA Calculation : The indicator applies a volatility-adjusted smoothing algorithm based on the efficiency ratio, ensuring that price trends are detected quickly in volatile markets and smoothly in stable ones.
- Filtering Mechanism : 🎯 Use can chose between two filtering options. Standard deviation to dynamically adjust based on market deviations or ATR Bands to determine trend strength through volatility expansions
- Signal Generation :
1. Bullish (🔵) is triggered when price crosses above the upper band.
2. Bearish (🔴) is generated when price drops below the lower band.
- The filtering method (SD/ATR) determines how the bands expand/contract, allowing for better trade adaptability.
________
Use Cases:
✅ For Trend Trading & Breakouts:
- Use SD bands (default setting) to capture trend breakouts and avoid premature entries.
- SD bands expand during high volatility, helping confirm strong breakouts, and contract during low volatility, helping confirm earlier trend exit.
- Consider increasing Dynamic EMA length (default 8) for longer-term trend detection.
✅ For Smoother Trend Filtering:
- Enable ATR bands for a more stable and gradual trend filter.
- ATR bands help reduce noise in choppy conditions while maintaining responsiveness to volatility.
- This setting is useful for traders looking to ride trends with fewer false exits.
✅ For Volatility Awareness:
- Watch the expansion and contraction of the filter bands:
- Wide SD bands = High volatility, breakout potential.
- Tight SD bands = Consolidation, potential trend exhaustion.
- ATR bands provide steadier adjustments, making them ideal for traders who prefer
smoother trend confirmation.
________
Customization Options:
- Source Selection 🟢 (Default: Median filtering enabled ✅)
- Dynamic EMA Length ⏳ (Default: 8 )
- Filtering Method🎯 (SD Bands ✅ by default, toggle ATR if needed)
- Standard Deviation Length 📏 (Default: 30 )
- ATR Length 📈 (Default: 14, ATR multiplier 1.3)
- SD Bands Weights:📌
- Default settings (Upper = 1.035, Lower = 1.02) are optimized for daily charts.
- For lower timeframes (e.g., hourly charts), consider using lighter weights such as Upper =
1.024 / Lower = 1.008 to better capture price movements.
- The optimal SD Band weights depend on the asset's volatility, so adjust accordingly to align
with market conditions.
- Multiple Color Themes 🎨 (Default, Solar, Warm, Cool, Classic, X)
________
Conclusion
The Dynamic Median EMA | QuantEdgeB is a powerful trend-following & filtering indicator designed to adapt dynamically to market conditions. By combining a volatility-responsive EMA, custom filter bands, and signal-based candlestick coloring, this tool provides clear and reliable trade signals across different market environments. 🚀📈
🔹 Disclaimer: Past performance is not indicative of future results. No trading indicator can guarantee success in financial markets.
🔹 Strategic Consideration: As always, backtesting and strategic adjustments are essential to fully optimize this indicator for real-world trading. Traders should consider risk management practices and adapt settings to their specific market conditions and trading style.
75th-25th percentile momentum | 𝙌𝙪𝙖𝙣𝙩𝙪𝙢𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝 Introducing QuantumResearch’s 75th-25th Percentile Momentum Indicator
The 75th-25th Percentile Momentum indicator is a cutting-edge tool that combines percentile rank analysis with ATR-based deviation to detect significant bullish and bearish momentum in the market. By analyzing price movements relative to the 75th and 25th percentiles of recent data, the indicator provides traders with clear and dynamic signals for long and short opportunities.
How It Works
Percentile Analysis:
The 75th and 25th percentiles are calculated over a user-defined lookback period, representing the upper and lower thresholds for price action.
ATR-Based Adjustment:
ATR (Average True Range) is used to account for market volatility, dynamically adjusting the thresholds with user-defined multipliers.
Signal Generation:
Long Signal: Triggered when the price exceeds the 75th percentile plus the ATR-based adjustment (default multiplier: 1.3).
Short Signal: Triggered when the price falls below the 25th percentile minus the ATR-based adjustment (default multiplier: 1.3).
Visual Representation
The indicator offers a clear and customizable visual interface:
Green Bars: Indicate a bullish trend, signaling a potential long opportunity when the price surpasses the adjusted 75th percentile.
Red Bars: Indicate a bearish trend, signaling a potential short opportunity when the price drops below the adjusted 25th percentile.
Additional visuals include:
A dynamically colored 54-period EMA line, representing trend direction:
Green Line: Indicates a bullish trend.
Red Line: Indicates a bearish trend.
A filled area between the EMA line and the midpoint (HL2), offering enhanced trend visibility.
Customization & Parameters
The 75th-25th Percentile Momentum indicator includes several adjustable parameters to suit different trading styles:
Source: Defines the input price (default: close).
Percentile Length: Default set to 25, determines the lookback period for percentile calculations.
ATR Length: Default set to 14, adjusts the sensitivity of volatility measurement.
Multiplier for 75th Percentile: Default set to 1.3, adjusts the threshold for long signals.
Multiplier for 25th Percentile: Default set to 1.3, adjusts the threshold for short signals.
Color Modes: Choose from eight visual themes to personalize the appearance of trend signals.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies:
Momentum Trading: Highlights when price action demonstrates strong upward or downward momentum relative to recent percentiles.
Volatility-Adaptive Strategies: By incorporating ATR-based thresholds, the indicator adjusts dynamically to market conditions.
Reversal Detection: Identifies potential turning points when the price moves significantly beyond the 75th or 25th percentiles.
Final Note
QuantumResearch’s 75th-25th Percentile Momentum indicator is a powerful tool for traders looking to capture momentum and trend opportunities in the market.
Its combination of percentile analysis, volatility adjustment, and visual clarity offers a robust framework for making informed trading decisions. As with all indicators, it is recommended to backtest thoroughly and integrate this tool into a comprehensive trading strategy.
Twitter Model ICT [TradingFinder] MMXM ERL D + FVG + M15 MSS/SMT🔵 Introduction
The Twitter Model ICT is a trading approach based on ICT (Inner Circle Trader) models, focusing on price movement between external and internal liquidity in lower timeframes. This model integrates key concepts such as Market Structure Shift (MSS), Smart Money Technique (SMT) divergence, and CISD level break to identify precise entry points in the market.
The primary goal of this model is to determine key liquidity levels, such as the previous day’s high and low (PDH/PDL) and align them with the Fair Value Gap (FVG) in the 1-hour timeframe. The overall strategy involves framing trades around the 1H FVG and using the M15 Market Structure Shift (MSS) for entry confirmation.
The Twitter Model ICT is designed to utilize external liquidity levels, such as PDH/PDL, as key entry zones. The model identifies FVG in the 1-hour timeframe, which acts as a magnet for price movement. Additionally, traders confirm entries using M15 Market Structure Shift (MSS) and SMT divergence.
Bullish Twitter Model :
In a bullish setup, the price sweeps the previous day’s low (PDL), and after confirming reversal signals, buys are executed in internal liquidity zones. Conversely, in a bearish setup, the price sweeps the previous day’s high (PDH), and after confirming weakness signals, sells are executed.
Bearish Twitter Model :
In short setups, entries are only executed above the Midnight Open, while in long setups, entries are taken below the Midnight Open. Adhering to these principles allows traders to define precise entry and exit points and analyze price movement with greater accuracy based on liquidity and market structure.
🔵 How to Use
The Twitter Model ICT is a liquidity-based trading strategy that analyzes price movements relative to the previous day’s high and low (PDH/PDL) and Fair Value Gap (FVG). This model is applicable in both bullish and bearish directions and utilizes the 1-hour (1H) and 15-minute (M15) timeframes for entry confirmation.
The price first sweeps an external liquidity level (PDH or PDL) and then provides an entry opportunity based on Market Structure Shift (MSS) and SMT divergence. Additionally, the entry should be positioned relative to the Midnight Open, meaning long entries should occur below the Midnight Open and short entries above it.
🟣 Bullish Twitter Model
In a bullish setup, the price first sweeps the previous day’s low (PDL) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bullish Fair Value Gap (FVG) forms, which serves as the price target.
To confirm the entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should be observed, signaling a trend reversal to the upside. Additionally, SMT divergence with correlated assets can indicate weakness in selling pressure.
Under these conditions, a long position is taken below the Midnight Open, with a stop-loss placed at the lowest point of the recent bearish move. The price target for this trade is the FVG in the 1-hour timeframe.
🟣 Bearish Twitter Model
In a bearish setup, the price first sweeps the previous day’s high (PDH) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bearish Fair Value Gap (FVG) is identified, serving as the trade target.
To confirm entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should form, signaling a trend shift to the downside. If an SMT divergence is present, it can provide additional confirmation for the trade.
Once these conditions are met, a short position is taken above the Midnight Open, with a stop-loss placed at the highest level of the recent bullish move. The trade's price target is the FVG in the 1-hour timeframe.
🔵 Settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
Daily Position : Determines whether only the first signal of the day is considered or if signals are evaluated throughout the entire day.
Session : Specifies in which trading sessions the indicator will be active.
Second Symbol : This setting allows you to select another asset for comparison with the primary asset. By default, "XAUUSD" (Gold) is set as the second symbol, but you can change it to any currency pair, stock, or cryptocurrency. For example, you can choose currency pairs like EUR/USD or GBP/USD to identify divergences between these two assets.
Divergence Fractal Periods : This parameter defines the number of past candles to consider when identifying divergences. The default value is 2, but you can change it to suit your preferences. This setting allows you to detect divergences more accurately by selecting a greater number of candles.
The indicator allows displaying sessions based on various time zones. The user can select one of the following options :
UTC (Coordinated Universal Time)
Local Time of the Session
User’s Local Time
Show Open Price : Displays the New York market opening price.
Show PDH / PDL : Displays the previous day’s high and low to identify potential entry points.
Show SMT Divergence : Displays lines and labels for bullish ("+SMT") and bearish ("-SMT") divergences.
🔵 Conclusion
The Twitter Model ICT is an effective approach for analyzing and executing trades in financial markets, utilizing a combination of liquidity principles, market structure, and SMT confirmations to identify optimal entry and exit points.
By analyzing the previous day’s high and low (PDH/PDL), Fair Value Gaps (FVG), and Market Structure Shift (MSS) in the 1H and M15 timeframes, traders can pinpoint liquidity-driven trade opportunities. Additionally, considering the Midnight Open level helps traders avoid random entries and ensures better trade placement.
By applying this model, traders can interpret market movements based on liquidity flow and structural changes, allowing them to fine-tune their trading decisions with higher precision. Ultimately, the Twitter Model ICT provides a structured and logical approach for traders who seek to trade based on liquidity behavior and trend shifts in the market.
Fair Value Gap (FVG) by AlgoMaxxFair Value Gap (FVG) by AlgoMaxx
Advanced Fair Value Gap (FVG) detector with dynamic support/resistance lines. This professional-grade tool helps traders identify and track important market inefficiencies through Fair Value Gaps.
Features:
• Auto-detection of bullish and bearish FVGs
• Dynamic dotted extension lines for latest FVGs
• Smart gap filtering system
• Color-coded visualization
• Customizable parameters
• Clean, optimized code
Key Functions:
• Detects imbalance zones between candlesticks
• Marks FVGs with color-coded boxes
• Extends dotted lines for active reference levels
• Automatically updates with new gap formations
• Tracks gap fills in real-time
Inputs:
• Lookback Period: Historical gaps to display
• Minimum Gap Size %: Filter for gap significance
• Bullish/Bearish Colors: Visual customization
• Show Filled Gaps: Toggle filled gap visibility
Practical Applications:
1. Support/Resistance Levels
2. Mean Reversion Trading
3. Trend Continuation Setups
4. Market Structure Analysis
5. Price Action Trading
Usage Tips:
• Higher timeframes (1H+) provide more reliable signals
• Multiple FVGs in one zone indicate stronger levels
• Use in conjunction with other technical tools
• Monitor price reactions at FVG levels
• Consider gaps as zones rather than exact prices
Note: This is a premium-grade indicator designed for serious traders. Works best on higher timeframes where price inefficiencies are more significant.
═══════════════════
By Algomaxx
Version: 1.0
═══════════════════
Disclaimer:
This indicator is for informational purposes only. Trade at your own risk and always use proper risk management.
#FVG #technical #trading #algomaxx #premium
Enhanced Scalping Strategy with Stop Loss📌 Overview
The Enhanced Scalping Strategy with Stop Loss is a trend-following and momentum-based trading system designed for scalpers and short-term traders. It leverages Exponential Moving Averages (EMAs), Relative Strength Index (RSI), and Average True Range (ATR) to identify potential trading opportunities while implementing a stop-loss mechanism to minimize risk.
This script is designed to be used in various timeframes, with optimizations for 1-minute and 5-minute charts. The strategy focuses on momentum breakouts, ensuring that trades are taken in strong trending conditions while filtering out false signals using volatility-based confirmation.
🔍 How It Works
This strategy uses three main indicators to generate trade signals:
1️⃣ Moving Averages (Fast & Slow EMAs)
Fast EMA (default: 9-period)
Slow EMA (default: 21-period)
A bullish crossover (Fast EMA crossing above Slow EMA) signals a potential long trade.
A bearish crossover (Fast EMA crossing below Slow EMA) signals a potential short trade.
2️⃣ Relative Strength Index (RSI)
The RSI is used as an overbought/oversold filter.
Default settings:
Overbought Level: 70 → Avoid long trades when RSI is too high.
Oversold Level: 30 → Avoid short trades when RSI is too low.
3️⃣ Average True Range (ATR) Multiplier
ATR is used to filter out low-volatility conditions.
The script ensures that price exceeds a threshold based on ATR before confirming a trade, reducing false breakouts.
4️⃣ Stop Loss Mechanism
Stop loss is dynamically calculated based on a percentage of the entry price (default: 1%).
Long Trade Stop Loss: Set 1% below entry price.
Short Trade Stop Loss: Set 1% above entry price.
The strategy will automatically exit trades if the stop loss is hit.
🎯 Entry & Exit Conditions
🔵 Long Entry (Buy Signal)
Fast EMA crosses above Slow EMA (Bullish crossover).
RSI is below overbought (70) → Avoid buying into extreme conditions.
Price is above Fast EMA + ATR Multiplier → Ensures a strong trend.
Stops any active short trade before entering long.
🔴 Short Entry (Sell Signal)
Fast EMA crosses below Slow EMA (Bearish crossover).
RSI is above oversold (30) → Avoid shorting into extreme weakness.
Price is below Fast EMA - ATR Multiplier → Ensures a strong trend.
Stops any active long trade before entering short.
🔄 Exit Conditions
Long Trade Exit:
Fast EMA crosses below Slow EMA (Bearish crossover).
OR Stop loss is hit (price drops 1% below entry).
Short Trade Exit:
Fast EMA crosses above Slow EMA (Bullish crossover).
OR Stop loss is hit (price rises 1% above entry).
🛠 How to Use
1️⃣ Adding the Strategy
Open TradingView.
Navigate to the Pine Script Editor.
Copy and paste the script.
Click Add to Chart.
2️⃣ Customizing Settings
Adjust the Moving Average lengths to suit different timeframes.
Modify the RSI overbought/oversold levels for better filtering.
Change the ATR Multiplier to fine-tune the volatility filter.
Customize the Stop Loss Percentage to match your risk tolerance.
3️⃣ Best Timeframes for Scalping
1-Minute (M1): Fast scalping, more signals.
5-Minute (M5): Reduced noise, better trend identification.
15-Minute (M15) and higher: Can be used for intraday trading.
4️⃣ Alerts & Notifications
Set up alerts to receive buy/sell signals.
Alerts include:
Long Entry Alert (Buy Signal)
Short Entry Alert (Sell Signal)
Exit Long Alert (Close Buy Position)
Exit Short Alert (Close Sell Position)
📊 Visuals on the Chart
✅ Buy Signals: Displayed as green upward arrows.
✅ Sell Signals: Displayed as red downward arrows.
✅ EMA Lines:
Fast EMA (blue)
Slow EMA (orange)
✅ RSI Background Coloring:
Red background when RSI is overbought.
Green background when RSI is oversold.
🔎 Pros & Cons
✅ Pros
✔️ Works on multiple timeframes with automatic adjustments.
✔️ Uses ATR to confirm trends, reducing false signals.
✔️ Built-in stop loss for better risk management.
✔️ Alerts & visual signals for easy trade execution.
✔️ Can be customized for different trading styles.
❌ Cons
❌ May perform poorly in ranging markets.
❌ Stop-loss percentage may need optimization for different assets.
❌ Higher timeframes might require different parameters for best performance.
Market Trend Scanner [Afnan]This Market Strength Scanner indicator is designed to provide traders with a clear and concise overview of market trends using a single table. It helps you quickly determine which sectors and indices are strong, weak, or choppy, allowing you to make informed trading decisions with ease.
How This Indicator Helps You:
✅ Identify Strong Sectors & Indices
🔹By analyzing this table, you can instantly see which sectors and indices are performing well.
🔹Focus on stocks within strong sectors to find high-probability buying opportunities.
✅ Avoid Weak or Choppy Markets
🔹The indicator highlights bearish or consolidating sectors, helping you avoid poor trading conditions.
🔹Stay away from sectors that are weak or moving sideways to reduce unnecessary risks.
✅ Understand Market Sentiment in Seconds
🔹If most sectors are bullish, the market is in an uptrend—giving you confidence to take long positions.
🔹If the majority are bearish, the market is weak, signaling caution.
🔹A mix of bullish and bearish sectors indicates a choppy market, warning you to avoid trading or adjust your strategy.
✅ Powered by 4 Customizable EMAs
🔹The indicator uses 4 Exponential Moving Averages (EMAs) to determine trends for each sector and index.
🔹These EMAs are fully modifiable, allowing you to adjust them based on your preferred strategy.
✅ Covers 25 Major Indices (Fully Customizable)
🔹By default, the indicator tracks 25 key indices, giving you a broad market perspective.
🔹You can customize the list to focus on the indices that matter most to you.
Why Use This Indicator?
🔹 Saves Time – No need to analyze multiple charts manually. The table gives you everything at a glance.
🔹 Improves Trade Selection – Focus only on strong sectors for better trade accuracy.
🔹 Works in All Market Conditions – Whether the market is trending or consolidating, this tool keeps you informed.
🔹 Fully Customizable – Adjust the EMAs and indices according to your trading preferences.
With just this one powerful indicator, you get a complete market overview, helping you align your trades with the current trend effortlessly! 🚀
Trend Reversion with Multi-Indicator ConfirmationStrategy Explanation:
This mean reversion strategy capitalizes on temporary price deviations within established trends. The multi-indicator approach provides:
EMA trend filter to avoid counter-trend trades
RSI identifies overextended price movements
MACD confirms momentum shifts
ATR-based dynamic position sizing and risk management
The combination provides high-probability entries while maintaining strict risk controls through:
Volatility-adjusted position sizing
1.5x ATR stop-loss buffers
Customizable risk:reward ratios
Trend-filtered entries
Optimization Tips:
Test different EMA combinations for trend filtering
Adjust RSI thresholds based on asset volatility
Fine-tune ATR multipliers for stop levels
Experiment with MACD settings for different timeframes
The strategy automatically handles:
Position sizing based on account equity
Dynamic stop-loss placement
Trend-confirmed mean reversion entries
Visual trend identification overlay
Math Analysis by peaceShows the possible support and resistance zones for XAUUSD for the day using a mathematical formula
Pivot Point+ Supertrend + EMA + Support/Resistance- LAXMANTAK98
Pivot Point Supertrend with EMA and Support/Resistance Indicator
This custom trading indicator combines the following key components to assist in market analysis and trade decision-making:
Pivot Points:
Pivot points are calculated based on a chosen price source (High, Low, Open, or Close). These levels are used to determine potential support and resistance zones.
Pivot Highs (Resistance) and Pivot Lows (Support) are plotted as labels on the chart for easy identification.
Supertrend Indicator:
The Supertrend is a trend-following indicator that helps to identify bullish or bearish trends.
It uses the Average True Range (ATR) to calculate dynamic support/resistance levels, with adjustable settings for ATR length and multiplier factor.
The trend direction is visually represented by green (bullish) and red (bearish) lines on the chart.
Exponential Moving Averages (EMA):
The indicator plots up to four EMAs with user-defined periods (e.g., 9, 21, 50, 200).
EMAs are commonly used to smooth out price data and identify trends over various timeframes.
Support and Resistance Levels:
Based on Pivot Points, support and resistance levels are plotted using crosses on the chart.
These levels indicate possible price reversal points, helping traders spot key zones for entry and exit.
Visual Alerts:
The indicator includes built-in alerts for trend changes and potential buy/sell signals based on the transition between uptrend and downtrend states.
This combined indicator allows traders to analyze trends, identify key levels for trading, and make more informed decisions by integrating Pivot Points, Supertrend, EMAs, and Support/Resistance in one cohesive system.
Crypto MA + ATR Super AdaptativeThe Crypto MA + ATR Super Adaptative Indicator is designed to help traders identify trend levels and potential support/resistance zones using a dynamic measure of volatility. It calculates a central "Mid Line" (a moving average of the closing prices) and then plots multiple bands (or levels) above and below this line. These bands are spaced using a dynamic Average True Range (ATR) that is adjusted based on recent volatility via a Relative Volatility Factor (RVF).
Key Features
Dynamic ATR Calculation:
Uses a Relative Volatility Factor (RVF) to adjust the short-term ATR based on the dispersion of recent ATR values relative to a longer-term ATR reference. This ensures that the bands widen during periods of high volatility and narrow during periods of low volatility.
Mid Line (Central Moving Average):
A customizable moving average (with options such as SMA, EMA, WMA, RMA, HMA, ALMA) calculated from closing prices, which serves as the central reference for the bands.
Multiple Trend Levels:
Seven levels (both above and below the Mid Line) are plotted. Each level is computed as a multiple (1x through 7x) of the dynamic ATR added to or subtracted from the Mid Line.
Customizable Inputs:
Users can easily adjust the lookback periods for both the Mid Line and ATR calculations, choose the type of moving average, set the base multiplier for the bands, and toggle the display of each individual level.
Time Offset Option:
An offset parameter allows shifting the plotted lines forward or backward in time to better align with the user's charting preferences.
How It Works
Mid Line Calculation:
The indicator computes a moving average (the Mid Line) based on the closing prices using a user-selected method (e.g., EMA).
ATR Calculations:
Short-Term ATR (atrShort): Reflects current volatility over a short period (default is 14 bars).
Long-Term ATR (atrLong): Acts as a volatility reference calculated over a longer period (default is 100 bars).
Relative Volatility Factor (RVF):
First, the standard deviation of the short-term ATR over a specified lookback period (default is 14 bars) is calculated.
The RVF is then computed using the formula:
RVF
=
1
+
(
stdev(atrShort, rvfLength)
atrLong
)
RVF=1+(
atrLong
stdev(atrShort, rvfLength)
)
The Dynamic ATR is derived by multiplying the short-term ATR by the RVF:
Dynamic ATR
=
atrShort
×
RVF
Dynamic ATR=atrShort×RVF
Plotting the Trend Levels:
Each level is determined by adding (for upper levels) or subtracting (for lower levels) a multiple of the Dynamic ATR from the Mid Line. For example, Level 1 is:
Level 1
=
Mid Line
±
(
1.0
×
Dynamic ATR
)
Level 1=Mid Line±(1.0×Dynamic ATR)
This calculation is repeated for up to 7 levels.
User Inputs
Mid Line Settings:
Period: Number of bars for the moving average (e.g., 100).
Type: Moving average type (Options: SMA, EMA, WMA, RMA, HMA, ALMA).
ATR Settings:
ATR Short Period (atrShortLength): Default is 14.
(Reflects current market volatility.)
ATR Long Period (atrLongLength): Default is 100.
(Serves as the volatility reference.)
RVF Lookback Period (rvfLength): Default is 14.
(Used to compute the standard deviation of the short-term ATR.)
ATR Method: Moving average type for ATR calculation (Options: SMA, EMA, WMA, RMA, HMA, ALMA).
Band Multiplier:
Base Multiplier (multBase): Sets the scaling factor for the trend levels (default is 1.0).
Display Options:
Toggle Levels 1 to 7: Option to show or hide each trend level.
Bar Offset: Shifts the plotted lines forward or backward by a specified number of bars.
How to Use
Add to Chart:
Copy and paste the Pine Script code into TradingView’s Pine Editor and add the script to your chart.
Configure Settings:
Adjust the input parameters (such as moving average periods, ATR settings, and band multiplier) to suit your trading style and the instrument being analyzed.
Interpret the Levels:
The Mid Line acts as the central trend indicator.
The plotted bands represent dynamic support and resistance levels that adjust based on recent volatility.
Wider bands indicate higher volatility; narrower bands suggest lower volatility.
Apply in Trading:
Use these dynamic trend levels to help identify potential entry and exit points, confirm trends, or set stop-loss levels. Always combine the indicator with other technical analysis tools and sound risk management practices.
Disclaimer
This indicator is provided for educational purposes only. It is not financial advice, and its performance is not guaranteed. Trading involves substantial risk, and you should use this indicator in conjunction with other forms of analysis and risk management techniques.
SPY EMA Envelope & Momentum StrategyIndicator Description:
This script combines the EMA Envelope (50) with RSI (14) and MACD (12, 26, 9) to identify optimal buy and sell signals based on price momentum.
Features:
✅ EMA Envelope (50): Defines dynamic support/resistance levels
✅ RSI (14): Identifies overbought/oversold conditions for confirmation
✅ MACD (12, 26, 9): Detects trend momentum shifts
✅ Buy Signals: Triggered when price touches the lower EMA Envelope, RSI is oversold, and MACD shows bullish crossover
✅ Sell Signals: Triggered when price reaches the upper EMA Envelope, RSI is overbought, and MACD shows bearish crossover
✅ Custom Alerts: Get notified when buy or sell conditions are met
Best For:
📈 Intraday & Swing Trading on SPY, stocks, crypto, and forex
Awesome Oscillator in Table with GradientThis indicator combines the Awesome Oscillator (AO) with a gradient table visualization and a strategy based on Williams Fractals, Moving Averages, and RSI. The table displays the last 10 values of the AO with gradient colors (green for positive values and red for negative values), allowing for quick identification of the strength and direction of momentum. Additionally, it includes alerts for key AO crossovers.
The complementary strategy uses fractals to identify potential reversal points, a moving average to determine the trend, and the RSI to confirm overbought or oversold conditions. Fractals are marked on the chart, and dynamic trendlines are drawn to facilitate visual analysis.
This indicator is ideal for traders looking to combine the momentum of the AO with a reversal strategy based on fractals and trend confirmation.
RVMM Signal IndicatorRVMM Signal Indicator
RVMM Signal Indicator łączy cztery wskaźniki: RSI, VWAP, MFI i Momentum, aby dostarczyć sygnały handlowe. Wskaźnik ten pomaga traderom identyfikować potencjalne punkty wejścia i wyjścia z pozycji na podstawie analizy technicznej.
Składniki wskaźnika RVMM Signal Indicator
1. RSI (Relative Strength Index)
RSI to wskaźnik momentum, który mierzy prędkość i zmianę ruchów cenowych. RSI oscyluje między 0 a 100 i jest używany do identyfikacji warunków wykupienia i wyprzedania na rynku.
Poziom Kupna (Buy Level): Ustawiony na 30. Gdy RSI spada poniżej 30, rynek jest uważany za wyprzedany, co może sugerować potencjalne odwrócenie trendu w górę.
Poziom Sprzedaży (Sell Level): Ustawiony na 70. Gdy RSI wzrasta powyżej 70, rynek jest uważany za wykupiony, co może sugerować potencjalne odwrócenie trendu w dół.
2. VWAP (Volume Weighted Average Price)
VWAP to wskaźnik, który łączy cenę i wolumen, aby obliczyć średnią cenę ważoną wolumenem. VWAP jest używany do identyfikacji obszarów wsparcia i oporu oraz oceny siły ruchu cenowego.
Interpretacja: Jeśli cena znajduje się powyżej linii VWAP, rynek jest prawdopodobnie w trendzie wzrostowym. Jeśli cena jest poniżej linii VWAP, rynek jest w trendzie spadkowym.
3. MFI (Money Flow Index)
MFI to wskaźnik momentum, który uwzględnia zarówno cenę, jak i wolumen. MFI oscyluje między 0 a 100 i jest używany do identyfikacji warunków wykupienia i wyprzedania na rynku.
Poziom Wyprzedania (Oversold Level): Ustawiony na 20. Gdy MFI spada poniżej 20, rynek jest uważany za wyprzedany.
Poziom Wykupienia (Overbought Level): Ustawiony na 80. Gdy MFI wzrasta powyżej 80, rynek jest uważany za wykupiony.
4. Momentum
Momentum to wskaźnik, który mierzy prędkość zmian cenowych. Wskaźnik ten jest używany do identyfikacji siły trendu.
Interpretacja: Wysokie wartości momentum wskazują na silny trend wzrostowy, podczas gdy niskie wartości momentum wskazują na silny trend spadkowy.
Jak korzystać z RVMM Signal Indicator
Dodanie wskaźnika do wykresu:
Skopiuj i wklej kod wskaźnika RVMM Signal Indicator do Pine Script na platformie TradingView.
Uruchom skrypt, aby dodać wskaźnik do wykresu.
Interpretacja sygnałów:
Sygnał LONG: Gdy cena przekracza najniższy poziom zamknięcia w określonym okresie (len) i RSI jest poniżej poziomu kupna (30), wskaźnik generuje sygnał LONG.
Sygnał SHORT: Gdy cena spada poniżej najwyższego poziomu zamknięcia w określonym okresie (len) i RSI jest powyżej poziomu sprzedaży (70), wskaźnik generuje sygnał SHORT.
Potwierdzenie sygnałów:
Użyj VWAP, MFI i Momentum do potwierdzenia sygnałów generowanych przez RSI.
Jeśli cena znajduje się powyżej linii VWAP, a MFI i Momentum wskazują na siłę trendu wzrostowego, sygnał LONG jest bardziej wiarygodny.
Jeśli cena znajduje się poniżej linii VWAP, a MFI i Momentum wskazują na siłę trendu spadkowego, sygnał SHORT jest bardziej wiarygodny.
Zarządzanie ryzykiem:
Ustal poziomy stop-loss i take-profit na podstawie analizy technicznej i własnych preferencji handlowych.
Monitoruj rynek i dostosowuj poziomy stop-loss i take-profit w miarę zmiany warunków rynkowych.
Przykład zastosowania
Oto przykład, jak można wykorzystać RVMM Signal Indicator w praktyce:
Sygnał LONG: Cena przekracza najniższy poziom zamknięcia w określonym okresie, RSI jest poniżej 30, a cena znajduje się powyżej linii VWAP. MFI i Momentum wskazują na siłę trendu wzrostowego. Otwierasz pozycję LONG.
Sygnał SHORT: Cena spada poniżej najwyższego poziomu zamknięcia w określonym okresie, RSI jest powyżej 70, a cena znajduje się poniżej linii VWAP. MFI i Momentum wskazują na siłę trendu spadkowego. Otwierasz pozycję SHORT.
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RVMM Signal Indicator
RVMM Signal Indicator combines four indicators: RSI, VWAP, MFI, and Momentum to provide trading signals. This indicator helps traders identify potential entry and exit points based on technical analysis.
Components of the RVMM Signal Indicator
1. RSI (Relative Strength Index)
RSI is a momentum indicator that measures the speed and change of price movements. RSI oscillates between 0 and 100 and is used to identify overbought and oversold conditions in the market.
Buy Level: Set at 30. When RSI falls below 30, the market is considered oversold, which may suggest a potential upward trend reversal.
Sell Level: Set at 70. When RSI rises above 70, the market is considered overbought, which may suggest a potential downward trend reversal.
2. VWAP (Volume Weighted Average Price)
VWAP is an indicator that combines price and volume to calculate the average price weighted by volume. VWAP is used to identify support and resistance areas and assess the strength of price movements.
Interpretation: If the price is above the VWAP line, the market is likely in an uptrend. If the price is below the VWAP line, the market is in a downtrend.
3. MFI (Money Flow Index)
MFI is a momentum indicator that considers both price and volume. MFI oscillates between 0 and 100 and is used to identify overbought and oversold conditions in the market.
Oversold Level: Set at 20. When MFI falls below 20, the market is considered oversold.
Overbought Level: Set at 80. When MFI rises above 80, the market is considered overbought.
4. Momentum
Momentum is an indicator that measures the speed of price changes. This indicator is used to identify the strength of a trend.
Interpretation: High momentum values indicate a strong uptrend, while low momentum values indicate a strong downtrend.
How to Use the RVMM Signal Indicator
Adding the Indicator to the Chart:
Copy and paste the RVMM Signal Indicator code into Pine Script on the TradingView platform.
Run the script to add the indicator to the chart.
Interpreting Signals:
LONG Signal: When the price crosses above the lowest closing level in a specified period (len) and RSI is below the buy level (30), the indicator generates a LONG signal.
SHORT Signal: When the price falls below the highest closing level in a specified period (len) and RSI is above the sell level (70), the indicator generates a SHORT signal.
Confirming Signals:
Use VWAP, MFI, and Momentum to confirm signals generated by RSI.
If the price is above the VWAP line and MFI and Momentum indicate the strength of the uptrend, the LONG signal is more reliable.
If the price is below the VWAP line and MFI and Momentum indicate the strength of the downtrend, the SHORT signal is more reliable.
Risk Management:
Set stop-loss and take-profit levels based on technical analysis and your trading preferences.
Monitor the market and adjust stop-loss and take-profit levels as market conditions change.
Example of Application
Here is an example of how to use the RVMM Signal Indicator in practice:
LONG Signal: The price crosses above the lowest closing level in a specified period, RSI is below 30, and the price is above the VWAP line. MFI and Momentum indicate the strength of the uptrend. You open a LONG position.
SHORT Signal: The price falls below the highest closing level in a specified period, RSI is above 70, and the price is below the VWAP line. MFI and Momentum indicate the strength of the downtrend. You open a SHORT position.
[UsaYasin] Fibonacci Retracement / QQE / VWAP Deviation Fibonacci retracement is a popular technical analysis tool used by traders to identify potential support and resistance levels in financial markets.
The QQE indicator, short for Quantitative Qualitative Estimation, is a technical analysis tool used by traders to identify potential overbought and oversold conditions in the market. It's essentially a smoothed version of the popular Relative Strength Index (RSI) indicator, with some added features.
VWAP deviation is a technical analysis tool that helps traders understand how far the current price of an asset is from its volume-weighted average price (VWAP).
Stop HuntLiquidity tends to accumulate around previous highs and lows (Swing Highs/Swing Lows) since traders often place their orders and stop losses in these areas. When the market moves beyond these levels, it taps into this liquidity, which can then fuel a reversal in the opposite direction.
Definitions:
Swing High – A three-candle pattern where the high of the second (middle) candle is higher than the highs of both the first and third candles.
Swing Low – A three-candle pattern where the low of the second (middle) candle is lower than the lows of both the first and third candles.
Stop Hunt – Occurs when price briefly moves beyond a swing point but closes back inside, failing to maintain a close past the swing high or low.
The source code is publicly available. You are free to use, modify, and distribute it as you wish.
smolka Bayesian Volatile ChannelDescription in English and Russian.
Bayesian Volatile Channel
The script is a loose interpretation of Bayes' theorem, which allows calculating the probability of events given that another event related to it has occurred, the script analyzes volatility and detects anomalies in price charts using a Bayesian approach, updating the model parameters to accurately estimate market fluctuations and detect changes in trends.
How does it work?
1. The script sets the initial parameters (mean price and standard deviation), creating a "hypothesis" about the market behavior.
2. When a new price appears, the script calculates the probability of its compliance with previous expectations. If the new price differs from the forecast, the model parameters (mean and standard deviation) are updated.
3. After updating the model, the probability that the current price and volatility correspond to a normal distribution is calculated.
4. Based on the updated model, volatility channels are built (mean price ± two standard deviations). If the price goes beyond these limits, this signals a possible anomaly indicating changes in the market.
5. The moving averages in the script act as data smoothing and trend analysis, helping to identify the market direction and minimize the impact of random fluctuations. The script uses moving averages to identify uptrends and downtrends, and calculates the average between them to display the overall market balance. These moving averages make market analysis clearer and more resistant to short-term fluctuations.
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Описание на английском и русском языках.
Байесовский волатильный канал
Скрипт является вольной интерпретацией теоремы Байеса, которая позволяет расчитать вероятность событий при условии, что произошло связанное с ним другое событие, скрипт анализирует волатильность и обнаруживает аномалии в графиках цен, используя байесовский подход, обновляя параметры модели для точной оценки рыночных колебаний и обнаружения изменений в тенденциях.
Как это работает?
1. Скрипт устанавливает начальные параметры (среднюю цену и стандартное отклонение), создавая "гипотезу" о поведении рынка.
2. При появлении новой цены скрипт вычисляет вероятность её соответствия предыдущим ожиданиям. Если новая цена отличается от прогноза, параметры модели (среднее и стандартное отклонение) обновляются.
3. После обновления модели рассчитывается вероятность того, что текущая цена и волатильность соответствуют нормальному распределению.
4. На основе обновлённой модели строятся каналы волатильности (средняя цена ± два стандартных отклонения). Если цена выходит за эти пределы, это сигнализирует о возможной аномалии, указывающей на изменения на рынке.
5. Средние скользящие в скрипте выполняют роль сглаживания данных и анализа трендов, помогая выявить направление рынка и минимизировать влияние случайных колебаний. Скрипт использует скользящие средние для определения восходящего и нисходящего трендов, а также рассчитывает среднее значение между ними для отображения общего баланса рынка. Эти скользящие средние делают анализ рынка более чётким и устойчивым к краткосрочным флуктуациям.
skrillionaire1 - S/R Dynamic & Previous Highs & LowsS/R Dynamic & Previous Highs & Lows
Show S/R Dynamic
Shows Previous Highs & Lows
My script HHHTrend with following and signal of Price action was developed by me. It is a good strategy. I believe in my strategy
LRLR [TakingProphets]LRLR (Low Resistance Liquidity Run) Indicator
This indicator identifies potential liquidity runs in areas of low resistance, based on ICT (Inner Circle Trader) concepts. It specifically looks for a series of unmitigated swing highs in a downtrend that form without any bearish fair value gaps (FVGs) between them.
What is an LRLR?
- A Low Resistance Liquidity Run occurs when price creates a series of lower highs without any bearish fair value gaps in between
- The absence of bearish FVGs indicates there is no significant resistance in the area
- These formations often become targets for smart money to collect liquidity above the swing highs
How to Use the Indicator:
1. The indicator will draw a diagonal line connecting a series of qualifying swing highs
2. A small "LRLR" label appears to mark the pattern
3. These areas often become targets for future price moves, as they represent zones of accumulated liquidity with minimal resistance
Key Points:
- Minimum of 4 consecutive lower swing highs
- No bearish fair value gaps can exist between these swing highs
- The diagonal line helps visualize the liquidity run formation
- Can be used for trade planning and identifying potential reversal zones
Settings:
- Show Labels: Toggle the "LRLR" label visibility
- LRLR Line Color: Customize the appearance of the diagonal line
Best Practices:
1. Use in conjunction with other ICT concepts and market structure analysis
2. Pay attention to how price reacts when returning to these levels
3. Consider these areas as potential targets for smart money liquidity grabs
4. Most effective when used on higher timeframes (4H and above)
Note: This is an educational tool and should be used as part of a complete trading strategy, not in isolation.
EMA Cross Strategy with TP, SL, Fibonacci Levels, and TrendNew Additions:
EMA Crossover
Buy when EMA 9 crosses above EMA 21
Sell when EMA 9 crosses below EMA 21
Organized Labels
Fibonacci levels
Trend status (Uptrending/Downtrending)
Buy/Sell signals
Take Profit (TP) and Stop Loss (SL)
