Market Structure Confluence [AlgoAlpha]OVERVIEW
This script is called "Market Structure Confluence" and it combines classic market structure analysis with a dynamic volatility-based band system to detect shifts in trend and momentum more reliably. It tracks key swing points (higher highs, higher lows, lower highs, lower lows) to define the trend, then overlays a basis and ATR-smoothed volatility bands to catch rejection signals and highlight potential inflection points in the market.
CONCEPTS
Market structure is the foundation of price action trading, focusing on the relationship between successive highs and lows to understand trend conditions. Break of Structure (BOS) and Change of Character (CHoCH) events are important because they signal when a market might be shifting direction. This script enhances traditional structure by integrating volatility bands, which act like dynamic support/resistance zones based on ATR, allowing it to capture momentum surges and rejections beyond just structural shifts.
FEATURES
Swing Detection: It detects and labels Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) based on user-defined time horizons, helping traders quickly spot the trend direction.
BOS and CHoCH Lines: When a previous swing point is broken, the script automatically plots a Break of Structure (BOS) line. If the break represents a major trend reversal (a CHoCH), it is marked differently to separate simple breakouts from real trend changes.
Rejection Signals: Special arrows plot when price pierces a band and then pulls back, suggesting a potential trap move or rejection signal in the direction of the new structure.
Alerts: Built-in alerts for structure breaks, CHoCHs, swing points, rejections at bands, and trend flips make it easy to automate setups without manually watching the chart.
USAGE
Set your preferred swing detection size depending on your timeframe and trading style — smaller numbers for intraday, larger numbers for swing trading. Choose whether you want BOS/CHoCH confirmed by candle closes or by wick breaks. Use the volatility band settings to fine-tune how tightly or loosely the bands hug the price, adjusting sensitivity based on market conditions. When a BOS or CHoCH occurs, or when a rejection happens at the bands, the script will highlight it clearly and optionally trigger alerts. Watch for combinations where both structure breaks and volatility band rejections happen together — those are high-quality trade signals. This setup works best when used with basic trend filtering and higher timeframe confirmation.
Analisi tecnica
Exponential Trend [AlgoAlpha]OVERVIEW
This script plots an adaptive exponential trend system that initiates from a dynamic anchor and accelerates based on time and direction. Unlike standard moving averages or trailing stops, the trend line here doesn't follow price directly—it expands exponentially from a pivot determined by a modified Supertrend logic. The result is a non-linear trend curve that starts at a specific price level and accelerates outward, allowing traders to visually assess trend strength, persistence, and early-stage reversal points through both base and volatility-adjusted extensions.
CONCEPTS
This indicator builds on the idea that trend-following tools often need dynamic, non-static expansion to reflect real market behavior. It uses a simplified Supertrend mechanism to define directional context and anchor levels, then applies an exponential growth function to simulate trend acceleration over time. The exponential growth is unidirectional and resets only when the direction flips, preserving trend memory. This method helps avoid whipsaws and adds time-weighted confirmation to trends. A volatility buffer—derived from ATR and modifiable by a width multiplier—adds a second layer to indicate zones of risk around the main trend path.
FEATURES
Exponential Trend Logic : Once a directional anchor is set, the base trend line accelerates using an exponential formula tied to elapsed bars, making the trend stronger the longer it persists.
Volatility-Adjusted Extension : A secondary band is plotted above or below the base trend line, widened by ATR to visualize volatility zones, act as soft stop regions or as a better entry point (Dynamic Support/Resistance).
Color-Coded Visualization : Clear green/red base and extension lines with shaded fills indicate trend direction and confidence levels.
Signal Markers & Alerts : Triangle markers indicate confirmed trend reversals. Built-in alerts notify users of bullish or bearish direction changes in real-time.
USAGE
Use this script to identify strong trends early, visually measure their momentum over time, and determine safe areas for entries or exits. Start by adjusting the *Exponential Rate* to control how quickly the trend expands—the higher the rate, the more aggressive the curve. The *Initial Distance* sets how far the anchor band is placed from price initially, helping filter out noise. Increase the *Width Multiplier* to widen the volatility zone for more conservative entries or exits. When the price crosses above or below the base line, a new trend is assumed and the exponential projection restarts from the new anchor. The base trend and its extension both shift over time, but only reset on a confirmed reversal. This makes the tool especially useful for momentum continuation setups or trailing stop logic in trending markets.
DEMA Trend Oscillator Strategy📌 Overview
The DEMA Trend Oscillator Strategy is a dynamic trend-following approach based on the Normalized DEMA Oscillator SD.
It adapts in real-time to market volatility with the goal of improving entry accuracy and optimizing risk management.
⚠️ This strategy is provided for educational and research purposes only.
Past performance does not guarantee future results.
🎯 Strategy Objectives
The main goal of this strategy is to respond quickly to sudden price movements and trend reversals,
by combining momentum-based signals with volatility filters.
It is designed to be user-friendly for traders of all experience levels.
✨ Key Features
Normalized DEMA Oscillator: A momentum indicator that normalizes DEMA values on a 0–100 scale, allowing intuitive identification of trend strength
Two-Bar Confirmation Filter: Requires two consecutive bullish or bearish candles to reduce noise and enhance entry reliability
ATR x2 Trailing Stop: In addition to fixed stop-loss levels, a trailing stop based on 2× ATR is used to maximize profits during strong trends
📊 Trading Rules
Long Entry:
Normalized DEMA > 55 (strong upward momentum)
Candle low is above the upper SD band
Two consecutive bullish candles appear
Short Entry:
Normalized DEMA < 45 (downward momentum)
Candle high is below the lower SD band
Two consecutive bearish candles appear
Exit Conditions:
Take-profit at a risk-reward ratio of 1.5
Stop-loss triggered if price breaks below (long) or above (short) the SD band
Trailing stop activated based on 2× ATR to secure and extend profits
💰 Risk Management Parameters
Symbol & Timeframe: Any (AUDUSD 5M example)
Account size (virtual): $3000
Commission: 0.4PIPS(0.0004)
Slippage: 2 pips
Risk per trade: 5%
Number of trades (backtest):534
All parameters can be adjusted based on broker specifications and individual trading profiles.
⚙️ Trading Parameters & Considerations
Indicator: Normalized DEMA Oscillator SD
Parameter settings:
DEMA Period (len_dema): 40
Base Length: 20
Long Threshold: 55
Short Threshold: 45
Risk-Reward Ratio: 1.5
ATR Multiplier for Trailing Stop: 2.0
🖼 Visual Support
The chart displays the following visual elements:
Upper and lower SD bands (±2 standard deviations)
Entry signals shown as directional arrows
🔧 Strategy Improvements & Uniqueness
This strategy is inspired by “Normalized DEMA Oscillator SD” by QuantEdgeB,
but introduces enhancements such as a two-bar confirmation filter and an ATR-based trailing stop.
Compared to conventional trend-following strategies, it offers superior noise filtering and profit optimization.
✅ Summary
The DEMA Trend Oscillator Strategy is a responsive and practical trend-following method
that combines momentum detection with adaptive risk management.
Its visual clarity and logical structure make it a powerful and repeatable tool
for traders seeking consistent performance in trending markets.
⚠️ Always apply appropriate risk management. This strategy is based on historical data and does not guarantee future results.
Dynamic Adaptive Moving Average [Alpha Extract]Dynamic Adaptive Moving Average (DAMA) 📊
The Dynamic Adaptive Moving Average (DAMA) indicator is an adaptive technical tool that automatically discovers the optimal moving average period based on forward-looking price behavior. Unlike traditional fixed-length moving averages, this indicator continuously evaluates multiple timeframes to identify which MA length most accurately predicts future price movement, creating a responsive trend line that adapts to changing market conditions.
🔶 CALCULATION
The indicator employs a dynamic optimization algorithm to select the most effective moving average:
• Period Testing: Evaluates MA lengths from 5 to 100 periods to find the optimal timeframe
• Predictive Error: Measures each MA's accuracy by comparing it to the actual price 5 bars in the future
• Trend Weighting: Incorporates Rate of Change (ROC) to give higher priority to trend-following capabilities
• Error Minimization: Selects the MA length with the lowest weighted predictive error
• Smoothing: Applies an exponential smoothing factor (0.2) to prevent erratic changes in the trend line
🔶 DETAILS
Visual Features:
• Adaptive Trend Line: A yellow line representing the smoothed optimal moving average that dynamically adjusts its period
• Color-Coded Fills: Green areas when price is above the optimal MA (bullish), red when price is below (bearish)
• Opacity Gradient: Fill transparency provides visual context for the relationship between price and the trend line
• Real-Time Optimization Display: A table in the top-right corner shows the current optimal MA length
Interpretation:
• Bullish Signal: Price above the yellow DAMA line with green fill indicates upward momentum
• Bearish Signal: Price below the yellow DAMA line with red fill suggests downward pressure
• Trend Changes: Watch for crossovers between price and the DAMA for potential trend shifts
• Optimal Length Changes: Shorter optimal lengths may indicate trending markets, while longer lengths often appear in ranging conditions
🔶 EXAMPLES
The indicator demonstrates:
• Trend Identification: The DAMA hugs price more closely during trends while maintaining enough distance to filter noise
• Dynamic Adaptation: The MA length automatically adjusts shorter during strong trends and longer during consolidations
• Forward-Looking: By optimizing based on future price projection (5 bars), the indicator anticipates price movements better than traditional MAs
• Smooth Transitions: The smoothing algorithm prevents whipsaws while still allowing the MA to adapt to changing conditions
🔶 SETTINGS
Customization Options:
• Min/Max Length: Define the range of MA periods to test (default: 5-100)
• Step Size: Set the increment for testing different MA lengths (default: 1)
• Lookahead: Adjust the number of bars to project ahead for optimization (default: 5)
• Smoothing Factor: Control how quickly the MA adapts to new optimal lengths (default: 0.2)
The Dynamic Adaptive Moving Average (DAMA) indicator offers traders a sophisticated yet intuitive trend-following tool that eliminates the need to manually select MA periods.
Its self-optimizing algorithm continuously identifies the most effective moving average length based on actual price prediction accuracy, making it valuable for various trading strategies across different market environments and timeframes.
Trend Targets [AlgoAlpha]OVERVIEW
This script combines a smoothed trend-following model with dynamic price rejection logic and ATR-based target projection to give traders a complete visual framework for trading trend continuations. It overlays on price and automatically detects potential trend shifts, confirms rejections near dynamic support/resistance, and displays calculated stop-loss and take-profit levels to support structured risk-reward management. Unlike traditional indicators that only show trend direction or signal entries, this tool brings together a unique mix of signal validation, volatility-aware positioning, and layered profit-taking to guide decision-making with more context.
CONCEPTS
The core trend logic is built on a custom Supertrend that uses an ATR-based band structure with long smoothing chains—first through a WMA, then an EMA—allowing the trend line to respond to major shifts while ignoring noise. A key addition is the use of rejection logic: the script looks for consolidation candles that "hug" the smoothed trend line and counts how many consecutive bars reject from it. This behavior often precedes significant moves. A user-defined threshold filters out weak tests and highlights only meaningful rejections.
FEATURES
Trend Detection : Automatically identifies trend direction using a smoothed Supertrend (WMA + EMA), with shape markers on trend shifts and color-coded bars for clarity.
Rejection Signals : Detects price rejections at the trend line after a user-defined number of consolidation bars; plots ▲/▼ icons to highlight strong continuation setups.
Target Projection : On trend confirmation, plots entry, stop-loss (ATR-based), and three dynamic take-profit levels based on customizable multiples.
Dynamic Updates : All levels (entry, SL, TP1–TP3) auto-adjust based on volatility and are labeled in real time on the chart.
Customization : Users can tweak trend parameters, rejection confirmation count, SL/TP ratios, smoothing lengths, and appearance settings.
Alerts : Built-in alerts for trend changes, rejection events, and when TP1, TP2, or TP3 are reached.
Chart Overlay : Plots directly on price chart with minimal clutter and clearly labeled levels for easy trading.
USAGE
Start by tuning the Supertrend factor and ATR period to fit your asset and timeframe—higher values will catch bigger swings, lower values catch faster moves. The confirmation count should match how tightly you want to filter rejection behavior—higher values make signals rarer but stronger. When the trend shifts, the indicator colors the bars and line accordingly, and if enabled, plots the full entry-TP-SL structure. Rejection markers appear only after enough qualifying bars confirm price pressure at the trend line. This is especially useful for continuation plays where price retests the trend but fails to break it. All calculations are based on volatility (ATR), so targets naturally adjust with market conditions. Add alerts to get notified of important signals even when away from the chart.
Smarter Money Concepts - OBs [PhenLabs]📊 Smarter Money Concepts - OBs
Version: PineScript™ v6
📌 Description
Smarter Money Concepts - OBs (Order Blocks) is an advanced technical analysis tool designed to identify and visualize institutional order zones on your charts. Order blocks represent significant areas of liquidity where smart money has entered positions before major moves. By tracking these zones, traders can anticipate potential reversals, continuations, and key reaction points in price action.
This indicator incorporates volume filtering technology to identify only the most significant order blocks, eliminating low-quality signals and focusing on areas where institutional participation is likely present. The combination of price structure analysis and volume confirmation provides traders with high-probability zones that may attract future price action for tests, rejections, or breakouts.
🚀 Points of Innovation
Volume-Filtered Block Detection : Identifies only order blocks formed with significant volume, focusing on areas with institutional participation
Advanced Break of Structure Logic : Uses sophisticated price action analysis to detect legitimate market structure breaks preceding order blocks
Dynamic Block Management : Intelligently tracks, extends, and removes order blocks based on price interaction and time-based expiration
Structure Recognition System : Employs technical analysis algorithms to find significant swing points for accurate order block identification
Dual Directional Tracking : Simultaneously monitors both bullish and bearish order blocks for comprehensive market structure analysis
🔧 Core Components
Order Block Detection : Identifies institutional entry zones by analyzing price action before significant breaks of structure, capturing where smart money has likely positioned before moves.
Volume Filtering Algorithm : Calculates relative volume compared to a moving average to qualify only order blocks formed with significant market participation, eliminating noise.
Structure Break Recognition : Uses price action analysis to detect legitimate breaks of market structure, ensuring order blocks are identified only at significant market turning points.
Dynamic Block Management : Continuously monitors price interaction with existing blocks, extending, maintaining, or removing them based on current market behavior.
🔥 Key Features
Volume-Based Filtering : Filter out insignificant blocks by requiring a minimum volume threshold, focusing only on zones with likely institutional activity
Visual Block Highlighting : Color-coded boxes clearly mark bullish and bearish order blocks with customizable appearance
Flexible Mitigation Options : Choose between “Wick” or “Close” methods for determining when a block has been tested or mitigated
Scan Range Adjustment : Customize how far back the indicator looks for structure points to adapt to different market conditions and timeframes
Break Source Selection : Configure which price component (close, open, high, low) is used to determine structure breaks for precise block identification
🎨 Visualization
Bullish Order Blocks : Blue-colored rectangles highlighting zones where bullish institutional orders were likely placed before upward moves, representing potential support areas.
Bearish Order Blocks : Red-colored rectangles highlighting zones where bearish institutional orders were likely placed before downward moves, representing potential resistance areas.
Block Extension : Order blocks extend to the right of the chart, providing clear visualization of these significant zones as price continues to develop.
📖 Usage Guidelines
Order Block Settings
Scan Range : Default: 25. Defines how many bars the indicator scans to determine significant structure points for order block identification.
Bull Break Price Source : Default: Close. Determines which price component is used to detect bullish breaks of structure.
Bear Break Price Source : Default: Close. Determines which price component is used to detect bearish breaks of structure.
Visual Settings
Bullish Blocks Color : Default: Blue with 85% transparency. Controls the appearance of bullish order blocks.
Bearish Blocks Color : Default: Red with 85% transparency. Controls the appearance of bearish order blocks.
General Options
Block Mitigation Method : Default: Wick, Options: Wick, Close. Determines how block mitigation is calculated - “Wick” uses high/low values while “Close” uses close values for more conservative mitigation criteria.
Remove Filled Blocks : Default: Disabled. When enabled, order blocks are removed once they’ve been mitigated by price action.
Volume Filter
Volume Filter Enabled : Default: Enabled. When activated, only shows order blocks formed with significant volume relative to recent average.
Volume SMA Period : Default: 15, Range: 1-50. Number of periods used to calculate the average volume baseline.
Min. Volume Ratio : Default: 1.5, Range: 0.5-10.0. Minimum volume ratio compared to average required to display an order block; higher values filter out more blocks.
✅ Best Use Cases
Identifying high-probability support and resistance zones for trade entries and exits
Finding optimal stop-loss placement behind significant order blocks
Detecting potential reversal areas where price may react after extended moves
Confirming breakout trades when price clears major order blocks
Building a comprehensive market structure map for medium to long-term trading decisions
Pinpointing areas where smart money may have positioned before major market moves
⚠️ Limitations
Most effective on higher timeframes (1H and above) where institutional activity is more clearly defined
Can generate multiple signals in choppy market conditions, requiring additional filtering
Volume filtering relies on accurate volume data, which may be less reliable for some securities
Recent market structure changes may invalidate older order blocks not yet automatically removed
Block identification is based on historical price action and may not predict future behavior with certainty
💡 What Makes This Unique
Volume Intelligence : Unlike basic order block indicators, this script incorporates volume analysis to identify only the most significant institutional zones, focusing on quality over quantity.
Structural Precision : Uses sophisticated break of structure algorithms to identify true market turning points, going beyond simple price pattern recognition.
Dynamic Block Management : Implements automatic block tracking, extension, and cleanup to maintain a clean and relevant chart display without manual intervention.
Institutional Focus : Designed specifically to highlight areas where smart money has likely positioned, helping retail traders align with institutional perspectives rather than retail noise.
🔬 How It Works
1. Structure Identification Process :
The indicator continuously scans price action to identify significant swing points and structure levels within the specified range, establishing a foundation for order block recognition.
2. Break Detection :
When price breaks an established structure level (crossing below a significant low for bearish breaks or above a significant high for bullish breaks), the indicator marks this as a potential zone for order block formation.
3. Volume Qualification :
For each potential order block, the algorithm calculates the relative volume compared to the configured period average. Only blocks formed with volume exceeding the minimum ratio threshold are displayed.
4. Block Creation and Management :
Valid order blocks are created, tracked, and managed as price continues to develop. Blocks extend to the right of the chart until they are either mitigated by price action or expire after the designated timeframe.
5. Continuous Monitoring :
The indicator constantly evaluates price interaction with existing blocks, determining when blocks have been tested, mitigated, or invalidated, and updates the visual representation accordingly.
💡 Note:
Order Blocks represent areas where institutional traders have likely established positions and may defend these zones during future price visits. For optimal results, use this indicator in conjunction with other confluent factors such as key support/resistance levels, trendlines, or additional confirmation indicators. The most reliable signals typically occur on higher timeframes where institutional activity is most prominent. Start with the default settings and adjust parameters gradually to match your specific trading instrument and style.
Adaptable Relative Momentum Index [ParadoxAlgo]The Adaptable Relative Momentum Index (RMI) by ParadoxAlgo is an advanced momentum-based indicator that builds upon the well-known RSI (Relative Strength Index) concept by introducing a customizable momentum length. This indicator measures price momentum over a specified number of periods and applies a Rolling Moving Average (RMA) to both the positive and negative price changes. The result is a versatile tool that can help traders gauge the strength of a trend, pinpoint overbought/oversold levels, and potentially identify breakout opportunities.
⸻
Smart Configuration Feature
What sets this version of the RMI apart is ParadoxAlgo’s exclusive “Smart Configuration” functionality. Instead of manually adjusting parameters, traders can simply select their Asset Class (e.g., Stocks, Forex, Futures/Indices, Crypto, Commodities) and Trading Style (e.g., Scalping, Day Trading, Swing Trading, Short-Term Investing, Long-Term Investing). Based on these selections, the indicator automatically optimizes its core parameters:
• Length – The period over which the price changes are smoothed.
• Momentum Length – The number of bars used to calculate the price change.
By automating this process, users save time on tedious trial-and-error adjustments, ensuring that the RMI’s settings are tailored to the characteristics of specific markets and personal trading horizons.
⸻
Key Features & Benefits
1. Momentum-Based Insights
• Uses RMA to smooth price movements, helping identify shifts in market momentum more clearly than a basic RSI.
• Enhanced adaptability for a wide range of asset classes and time horizons.
2. Simple Yet Powerful Configuration
• Smart Configuration automatically sets optimal parameter values for each combination of asset class and trading style.
• Eliminates guesswork and manual recalibration when switching between markets or timeframes.
3. Overbought & Oversold Visualization
• Integrated highlight zones mark potential overbought and oversold extremes (default at 80 and 20).
• Optional breakout highlighting draws attention to times when the indicator crosses these key thresholds, helping spot possible entry or exit signals.
4. Intuitive Design & Ease of Use
• Clean plotting and color-coded signal lines make it easy to interpret bullish or bearish shifts in momentum.
• Straightforward dropdown menus keep the interface user-friendly, even for novice traders.
⸻
Practical Applications
• Early Trend Detection: Spot emerging trends when the RMI transitions from oversold to higher levels or vice versa.
• Breakout Confirmation: Confirm potential breakout trades by tracking overbought/oversold breakouts alongside other technical signals.
• Support/Resistance Confluence: Combine RMI signals with horizontal support/resistance levels to reinforce trade decisions.
• Trade Timing: Quickly gauge when momentum could be shifting, helping you time entries and exits more effectively.
⸻
Disclaimer
As with any technical indicator, the Adaptable Relative Momentum Index should be used as part of a broader trading strategy that includes risk management, fundamental analysis, and other forms of technical confirmation. Past performance does not guarantee future results.
⸻
Enjoy using the Adaptable RMI and experience a more streamlined, flexible approach to momentum analysis. Feel free to explore different asset classes and trading styles to discover which configurations resonate best with your unique trading preferences.
Multiple MAsHere's a well-written description in English for your "Multiple MAs" indicator that you can use when publishing on TradingView. It’s concise, professional, and highlights the key features of the indicator while explaining its purpose for traders.
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### Multiple MAs Indicator
#### Overview
The **Multiple MAs** indicator is a versatile and straightforward tool designed to help traders visualize price trends using multiple Simple Moving Averages (SMAs) on a single chart. By plotting six SMAs with customizable lengths (MA5, MA10, MA20, MA50, MA100, and MA200), this indicator provides a clear view of short-term, medium-term, and long-term trends, making it ideal for trend-following strategies, crossover analysis, and identifying potential support/resistance levels.
#### Features
- **Customizable MA Lengths**: Adjust the periods of all six moving averages (MA5, MA10, MA20, MA50, MA100, MA200) to suit your trading style and timeframe.
- **Distinct Visuals**: Each MA is plotted with a unique color and line width for easy identification:
- MA5 (Dodger Blue, 1px)
- MA10 (Green, 1px)
- MA20 (Red, 2px)
- MA50 (Purple, 3px)
- MA100 (Gray, 3px)
- MA200 (White, 3px)
- **Overlay on Price Chart**: The indicator overlays directly on the price chart, allowing for seamless integration with other technical analysis tools.
- **High Precision**: Displays values with 8-decimal precision, ensuring accuracy for assets with small price movements (e.g., forex pairs or cryptocurrencies).
#### How to Use
1. **Trend Identification**: Use the longer MAs (e.g., MA100, MA200) to determine the overall trend direction. If the price is above these MAs, the trend is likely bullish; if below, it’s likely bearish.
2. **Crossover Signals**: Look for crossovers between shorter MAs (e.g., MA5 crossing MA20) for potential entry or exit signals. For example:
- A bullish signal occurs when a shorter MA crosses above a longer MA.
- A bearish signal occurs when a shorter MA crosses below a longer MA.
3. **Support and Resistance**: MAs often act as dynamic support or resistance levels. Watch for price reactions around these lines, especially the MA50, MA100, and MA200.
4. **Divergence Analysis**: Compare the slope of different MAs to identify potential trend reversals or weakening momentum.
#### Settings
- **MA5 Length**: Default is 5 bars.
- **MA10 Length**: Default is 10 bars.
- **MA20 Length**: Default is 20 bars.
- **MA50 Length**: Default is 50 bars.
- **MA100 Length**: Default is 100 bars.
- **MA200 Length**: Default is 200 bars.
#### Best Practices
- **Timeframe**: This indicator works on any timeframe but is particularly effective on daily, 4-hour, and 1-hour charts for swing trading or trend-following strategies.
- **Combine with Other Tools**: Pair the Multiple MAs with other indicators like RSI, MACD, or volume analysis to confirm signals and avoid false breakouts.
- **Adjust for Volatility**: For highly volatile assets, consider increasing the MA lengths to reduce noise and focus on broader trends.
#### Notes
- The indicator is lightweight and optimized for performance, ensuring it runs smoothly even on lower timeframes.
- Colors and line widths are pre-set for clarity but can be customized in the indicator settings if needed.
#### Credits
Created by kosar_v. Feedback and suggestions are welcome to improve this tool for the TradingView community!
Gioteen-NormThe "Gioteen-Norm" indicator is a versatile and powerful technical analysis tool designed to help traders identify key market conditions such as divergences, overbought/oversold levels, and trend strength. By normalizing price data relative to a moving average and standard deviation, this indicator provides a unique perspective on price behavior, making it easier to spot potential reversals or continuations in the market.
The indicator calculates a normalized value based on the difference between the selected price and its moving average, scaled by the standard deviation over a user-defined period. Additionally, an optional moving average of this normalized value (Green line) can be plotted to smooth the output and enhance signal clarity. This dual-line approach makes it an excellent tool for both short-term and long-term traders.
***Key Features
Divergence Detection: The Gioteen-Norm excels at identifying divergences between price action and the normalized indicator value. For example, if the price makes a higher high while Red line forms a lower high, it may signal a bearish divergence, hinting at a potential reversal.
Overbought/Oversold Conditions: Extreme values of Red line (e.g., significantly above or below zero) can indicate overbought or oversold conditions, helping traders anticipate pullbacks or bounces.
Trend Strength Insight: The normalized output reflects how far the price deviates from its average, providing a measure of momentum and trend strength.
**Customizable Parameters
Traders can adjust the period, moving average type, applied price, and shift to suit their trading style and timeframe.
**How It Works
Label1 (Red Line): Represents the normalized price deviation from a user-selected moving average (SMA, EMA, SMMA, or LWMA) divided by the standard deviation over the specified period. This line highlights the relative position of the price compared to its historical range.
Label2 (Green Line, Optional): A moving average of Label1, which smooths the normalized data to reduce noise and provide clearer signals. This can be toggled on or off via the "Draw MA" option.
**Inputs
Period: Length of the lookback period for normalization (default: 100).
MA Method: Type of moving average for normalization (SMA, EMA, SMMA, LWMA; default: EMA).
Applied Price: Price type used for calculation (Close, Open, High, Low, HL2, HLC3, HLCC4; default: Close).
Shift: Shifts the indicator forward or backward (default: 0).
Draw MA: Toggle the display of the Label2 moving average (default: true).
MA Period: Length of the moving average for Label2 (default: 50).
MA Method (Label2): Type of moving average for Label2 (SMA, EMA, SMMA, LWMA; default: SMA).
**How to Use
Divergence Trading: Look for discrepancies between price action and Label1. A bullish divergence (higher low in Label1 vs. lower low in price) may suggest a buying opportunity, while a bearish divergence could indicate a selling opportunity.
Overbought/Oversold Levels: Monitor extreme Label1 values. For instance, values significantly above +2 or below -2 could indicate overextension, though traders should define thresholds based on the asset and timeframe.
Trend Confirmation: Use Label2 to confirm trend direction. A rising Label2 suggests increasing bullish momentum, while a declining Label2 may indicate bearish pressure.
Combine with Other Tools: Pair Gioteen-Norm with support/resistance levels, RSI, or volume indicators for a more robust trading strategy.
**Notes
The indicator is non-overlay, meaning it plots below the price chart in a separate panel.
Avoid using a Period value of 1, as it may lead to unstable results due to insufficient data for standard deviation calculation.
This tool is best used as part of a broader trading system rather than in isolation.
**Why Use Gioteen-Norm?
The Gioteen-Norm indicator offers a fresh take on price normalization, blending statistical analysis with moving average techniques. Its flexibility and clarity make it suitable for traders of all levels—whether you're scalping on short timeframes or analyzing long-term trends. By publishing this for free, I hope to contribute to the TradingView community and help traders uncover hidden opportunities in the markets.
**Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Always backtest and validate any strategy before trading with real capital, and use proper risk management.
Swing Trade IndicatorThis is a Swing Trade Indicator that combines several technical indicators to analyze market conditions and generate trade signals. I've included two tables that provide real-time information to help you analyze the market and track trades: the Market Status Table and the Trade Tracking Table. These tables are overlaid on the TradingView chart and are customizable in terms of position and visibility.
Simple Moving Averages (SMAs):
Determines trend direction (e.g., bullish if fastMA > slowMA).
Calculates the average closing price over a set period:
fastMA: 21-period SMA (short-term trend).
slowMA: 50-period SMA (medium-term trend).
ultraSlowMA: 200-period SMA (long-term trend).
How:
ta.sma(close, fastLength) computes the SMA of the closing price over fastLength bars (similarly for slowLength and ultraSlowLength).
Volume Analysis:
Identifies potential liquidity spikes.
Measures trading volume to detect high activity.
Average volume over liquidityPeriod (20 bars).
Standard deviation of volume to set a dynamic threshold.
How:
avgVolume = ta.sma(volume, liquidityPeriod): Average volume.
volumeStdDev = ta.stdev(volume, liquidityPeriod): Volatility of volume.
highVolume = volume > avgVolume + volumeStdDev * volumeThresholdMultiplier: Flags high volume if it exceeds the average plus a multiplier (default 1.0) times the standard deviation.
Relative Strength Index (RSI):
Filters entries to avoid overextended markets.
Measures momentum and overbought/oversold conditions.
14-period RSI with thresholds at 60 (overbought) and 40 (oversold).
How:
rsiValue = ta.rsi(close, rsiLength) calculates RSI based on price changes over 14 bars.
Average Directional Index (ADX):
Gauges whether the trend is strong enough to trade.
Assesses trend strength.
14-period ADX.
How:
Calculates True Range (tr), Plus Directional Movement (plusDM), and Minus Directional Movement (minusDM).
Smooths these with ta.rma (Running Moving Average) over adxLength (14).
Computes plusDI and minusDI (directional indicators), then dx (difference), and finally adxValue = ta.rma(dx, adxLength) for trend strength.
Classifies as "Strong" (≥40), "Moderate" (≥20), or "Weak" (<20).
Moving Average Convergence Divergence (MACD) (Optional):
Optional filter for entry conditions if useMacdFilter is enabled.
Tracks momentum and trend changes.
Fast EMA (12), Slow EMA (26), Signal Line (9).
How:
= ta.macd(close, macdFastLength, macdSlowLength, macdSignalLength) computes the MACD components.
macdBullish = macdLine > signalLine: Bullish signal.
macdBearish = macdLine < signalLine: Bearish signal.
Liquidity Zones:
Confirms entries near key levels and suggests next trade setups.
Identifies support and resistance levels based on recent price extremes.
Dynamic levels over 20 bars (if useDynamicLevels is true).
How:
highLiquidityLevel1 = ta.highest(high, 20): Highest high in last 20 bars.
highLiquidityLevel2 = ta.highest(high , 20): Highest high from 20 to 40 bars ago.
highLiquidityLevel3 = ta.lowest(low, 20): Lowest low in last 20 bars.
highLiquidityLevel4 = ta.lowest(low , 20): Lowest low from 20 to 40 bars ago.
Upper and lower zones are derived (upperLevel, lowerLevel), with a midpoint between them.
How It Calculates Entries and Exits
Long Entry:
Basic Conditions (longEntry):
close > fastMA: Price is above the 21-period SMA.
fastMA > slowMA: Short-term trend is above medium-term trend (bullish).
rsiValue < rsiOverbought: RSI below 60 (not overbought).
(not useMacdFilter or macdBullish): If MACD filter is off, ignore it; if on, MACD must be bullish.
Confirmed Entry (confirmedLongEntry):
longEntry is true.
close >= highLiquidityLevel3 * 0.95 and close <= highLiquidityLevel3 * 1.05: Price is within 5% of the lower liquidity level (support).
Action: Sets currentPosition = 'long', records entry price and bar, plots a green triangle below the bar.
Short Entry:
Basic Conditions (shortEntry):
close < fastMA: Price is below the 21-period SMA.
fastMA < slowMA: Short-term trend is below medium-term trend (bearish).
rsiValue > rsiOversold: RSI above 40 (not oversold).
(not useMacdFilter or macdBearish): If MACD filter is off, ignore it; if on, MACD must be bearish.
Confirmed Entry (confirmedShortEntry):
shortEntry is true.
close <= highLiquidityLevel1 * 1.05 and close >= highLiquidityLevel1 * 0.95: Price is within 5% of the upper liquidity level (resistance).
Action: Sets currentPosition = 'short', records entry price and bar, plots a red triangle above the bar.
Exit Conditions
Note: The exit logic is defined but commented out in the script (//longExit and //shortExit), meaning it doesn’t automatically exit positions. It calculates stop-loss and take-profit levels for manual use:
Long Exit (if uncommented):
close < stopLossLevelLong: Price falls below stop-loss (entry price × (1 - 1.5%)).
close > takeProfitLevelLong: Price exceeds take-profit (entry price × (1 + 1.5% × 2.0)).
Short Exit (if uncommented):
close > stopLossLevelShort: Price rises above stop-loss (entry price × (1 + 1.5%)).
close < takeProfitLevelShort: Price falls below take-profit (entry price × (1 - 1.5% × 2.0)).
Suggested Levels: The script provides suggestedLongSL, suggestedLongTP, suggestedShortSL, and suggestedShortTP in the Market Status Table, based on liquidity levels rather than entry price, for manual exits.
Users Can Edit Settings:
Market Status Table Position: Dropdown (e.g., "top_right" to "bottom_left").
Trade Tracking Table Position: Dropdown (e.g., "bottom_right" to "middle_center").
Visibility Toggles (checkboxes):
Show Tables: Enable/disable tables (default: true).
Show Liquidity Zones: Not plotted but affects logic (default: true).
Show Entry Points: Show/hide entry triangles (default: true).
Use Dynamic Levels: Enable/disable liquidity zones (default: true).
Use MACD for Entry Filter: Add MACD to entry conditions (default: false).
Show MACD on Chart: Not implemented but reserved (default: false).
Indicator Periods:
Fast MA Length: Integer (default: 21, e.g., change to 10).
Slow MA Length: Integer (default: 50, e.g., change to 30).
Ultra Slow MA Length: Integer (default: 200, e.g., change to 100).
Liquidity Detection Period: Integer (default: 20, e.g., change to 10).
RSI Length: Integer (default: 14, e.g., change to 7).
ADX Length: Integer (default: 14, e.g., change to 20).
MACD Fast/Slow/Signal Length: Integers (default: 12/26/9, e.g., 9/21/5).
Thresholds:
Volume Threshold Multiplier: Float (default: 1.0, e.g., 1.5 for stricter high volume).
RSI Overbought: Integer (default: 60, e.g., 70).
RSI Oversold: Integer (default: 40, e.g., 30).
Stop Loss %: Float (default: 1.5, e.g., 2.0, range 0.1-10).
Take Profit Ratio: Float (default: 2.0, e.g., 3.0, range 1.0-5.0).
Liquidity Threshold (%): Float (default: 2.0, e.g., 1.5, range 0.5-5.0).
HEMA Trend Levels [AlgoAlpha]OVERVIEW
This script plots two Hull-EMA (HEMA) curves to define a color-coded dynamic trend zone and generate context-aware breakout levels, allowing traders to easily visualize prevailing momentum and identify high-probability breakout retests. The script blends smoothed price tracking with conditional box plotting, delivering both trend-following and mean-reversion signals within one system. It is designed to be simple to read visually while offering nuanced trend shifts and test confirmations.
█ CONCEPTS
The Hull-EMA (HEMA) is a hybrid moving average combining the responsiveness of short EMAs with the smoothness of longer ones. It applies layered smoothing: first by subtracting a full EMA from a half-length EMA (doubling the short EMA's weight), and then by smoothing the result again with the square root of the original length. This process reduces lag while maintaining clarity in direction changes. In this script, two HEMAs—fast and slow—are used to define the trend structure and trigger events when they cross. These crossovers generate "trend shift boxes"—temporary support or resistance zones drawn immediately after trend transitions—to detect price retests in the new direction. When price cleanly retests these levels, the script marks them as confirmations with triangle symbols, helping traders isolate better continuation setups. Color-coded bars further enhance visual interpretation: bullish bars when price is above both HEMAs, bearish when below, and neutral (gray) when indecisive.
█ FEATURES
Bullish and bearish bar coloring based on price and HEMA alignment.
Box plotting at each crossover (bullish or bearish) to create short-term decision zones.
Real-time test detection: price must cleanly test and bounce from box levels to be considered valid.
Multiple alert conditions: crossover alerts, test alerts, and trend continuation alerts.
█ USAGE
Use this indicator on any time frame and asset. Adjust HEMA lengths to match your trading style—shorter lengths for scalping or intraday, longer for swing trading. The shaded area between HEMAs helps visually define the current trend. Watch for crossovers: a bullish crossover plots a green support box just below price, and a bearish one plots a red resistance box just above. These zones act as short-term decision points. When price returns to test a box and confirms with strong rejection (e.g., closes above for bullish or below for bearish), a triangle symbol is plotted. These tests can signal strong trend continuation. For traders looking for clean entries, combining the crossover with a successful retest improves reliability. Alerts can be enabled for all key signals: trend shift, test confirmations, and continuation conditions, making it suitable for automated setups or discretionary traders tracking multiple charts.
Volume Profile & Smart Money Explorer🔍 Volume Profile & Smart Money Explorer: Decode Institutional Footprints
Master the art of institutional trading with this sophisticated volume analysis tool. Track smart money movements, identify peak liquidity windows, and align your trades with major market participants.
🌟 Key Features:
📊 Triple-Layer Volume Analysis
• Total Volume Patterns
• Directional Volume Split (Up/Down)
• Institutional Flow Detection
• Real-time Smart Money Tracking
• Historical Pattern Recognition
⚡ Smart Money Detection
• Institutional Trade Identification
• Large Block Order Tracking
• Smart Money Concentration Periods
• Whale Activity Alerts
• Volume Threshold Analysis
📈 Advanced Profiling
• Hourly Volume Distribution
• Directional Bias Analysis
• Liquidity Heat Maps
• Volume Pattern Recognition
• Custom Threshold Settings
🎯 Strategic Applications:
Institutional Trading:
• Track Big Player Movements
• Identify Accumulation/Distribution
• Follow Smart Money Flow
• Detect Institutional Trading Windows
• Monitor Block Orders
Risk Management:
• Identify High Liquidity Windows
• Avoid Thin Market Periods
• Optimize Position Sizing
• Track Market Participation
• Monitor Volume Quality
Market Analysis:
• Volume Pattern Recognition
• Smart Money Flow Analysis
• Liquidity Window Identification
• Institutional Activity Cycles
• Market Depth Analysis
💡 Perfect For:
• Professional Traders
• Volume Profile Traders
• Institutional Traders
• Risk Managers
• Algorithmic Traders
• Smart Money Followers
• Day Traders
• Swing Traders
📊 Key Metrics:
• Normalized Volume Profiles
• Institutional Thresholds
• Directional Volume Split
• Smart Money Concentration
• Historical Patterns
• Real-time Analysis
⚡ Trading Edge:
• Trade with Institution Flow
• Identify Optimal Entry Points
• Recognize Distribution Patterns
• Follow Smart Money Positioning
• Avoid Thin Markets
• Capitalize on Peak Liquidity
🎓 Educational Value:
• Understand Market Structure
• Learn Volume Analysis
• Master Institutional Patterns
• Develop Market Intuition
• Track Smart Money Flow
🛠️ Customization:
• Adjustable Time Windows
• Flexible Volume Thresholds
• Multiple Timeframe Analysis
• Custom Alert Settings
• Visual Preference Options
Whether you're tracking institutional flows in crypto markets or following smart money in traditional markets, the Volume Profile & Smart Money Explorer provides the deep insights needed to trade alongside the biggest players.
Transform your trading from retail guesswork to institutional precision. Know exactly when and where smart money moves, and position yourself ahead of major market shifts.
#VolumeProfile #SmartMoney #InstitutionalTrading #MarketAnalysis #TradingView #VolumeAnalysis #CryptoTrading #ForexTrading #TechnicalAnalysis #Trading #PriceAction #MarketStructure #OrderFlow #Liquidity #RiskManagement #TradingStrategy #DayTrading #SwingTrading #AlgoTrading #QuantitativeTrading
High and Low in a Given Date/Time RangeThis Pine Script v5 indicator plots horizontal lines at both the highest and lowest price levels reached within a user-defined date/time range.
Description:
Inputs:
The user specifies a start and an end date/time by providing the year, month, day, hour, and minute for each. These inputs are converted into timestamps based on the chart’s timezone.
How It Works:
Timestamp Conversion: The script converts the provided start and end dates/times into timestamps using the chart’s timezone.
Bar Check: It examines every bar and checks if the bar’s timestamp falls between the start and end timestamps.
Price Updates:
If a bar’s time is within the specified range, the indicator updates the highest price if the current bar's high exceeds the previously recorded high, and it updates the lowest price if the current bar's low is lower than the previously recorded low.
Drawing Lines:
A red horizontal line is drawn at the highest price, and a green horizontal line is drawn at the lowest price. Both lines start from the first bar in the range and extend dynamically to the current bar, updating as new high or low values are reached.
End of Range: Once a bar's time exceeds the end timestamp, the lines stop updating.
This tool offers a clear and straightforward way to monitor key price levels during a defined period without any extra fluff.
Diamond PatternDiamond Pattern Indicator
This indicator is designed to detect the Diamond Pattern, a technical formation that often signals potential trend reversals. The diamond pattern can lead to strong price movements, making it a valuable tool for traders.
Features:
✅ Automatic Detection – Identifies diamond patterns on the chart.
✅ Trend Reversal Signals – Highlights potential price direction changes.
✅ Multi-Timeframe Compatibility – Works across all timeframes.
✅ User-Friendly – Simple to use with no complex settings required.
How to Use:
1. Add the indicator to your chart.
2. Monitor for the formation of a Diamond Pattern.
3. Use the breakout direction to guide your trading decisions.
Range Breakout Signals [AlgoAlpha]OVERVIEW
This script detects range-bound market conditions and breakout signals using a combination of volatility compression and volume imbalance analysis. It identifies zones where price consolidates within a defined range and highlights potential breakout points with visual markers. Traders can use this to spot market transitions from ranging to trending phases, aiding in decision-making for breakout strategies.
CONCEPTS
The script measures volatility by comparing the ratio of the simple moving average (SMA) of price movements to their median value. When volatility drops below a threshold, the script assumes a range-bound market. It then tracks the cumulative volume of buying and selling pressure to assess breakout strength. The approach is based on the idea that market consolidation often precedes strong moves, and volume distribution can provide clues on the breakout direction.
FEATURES
Range Detection : Uses a volatility filter to identify low-volatility zones and marks them on the chart with shaded boxes.
Volume Imbalance Analysis : Evaluates cumulative up and down volume over a confirmation period to assess directional bias.
Breakout Signals : When price exits a detected range, the script plots breakout markers. A ▲ symbol indicates a bullish breakout, and a ▼ symbol indicates a bearish breakout. Additional "+" markers indicate strong volume imbalance favoring the breakout direction.
Adaptive Timeframe Volume Analysis : The script dynamically adjusts its volume calculation based on the chart’s timeframe, ensuring reliable signal generation across different trading conditions.
Alerts : Notifies traders when a new range is detected or when a breakout occurs, allowing for automated monitoring.
USAGE
Traders can use this script to identify potential trade setups by entering positions when price breaks out of a detected range. For breakout confirmation, traders can look at volume imbalance cues—bullish breakouts with strong buying volume may indicate sustained moves, while weak volume breakouts may lead to false signals. This script is particularly useful for breakout traders, range traders seeking to fade breakouts, and those looking to automate trade alerts in volatile markets.
Neural Pulse System [Alpha Extract]Neural Pulse System (NPS)
The Neural Pulse System (NPS) is a custom technical indicator that analyzes price action through a probabilistic lens, offering a dynamic view of bullish and bearish tendencies.
Unlike traditional binary classification models, NPS employs Ordinary Least Squares (OLS) regression with dynamically computed coefficients to produce a smooth probability output ranging from -1 to 1.
Paired with ATR-based bands, this indicator provides an intuitive and volatility-aware approach to trend analysis.
🔶 CALCULATION
The Neural Pulse System utilizes OLS regression to compute probabilities of bullish or bearish price action while incorporating ATR-based bands for volatility context:
Dynamic Coefficients: Coefficients are recalculated in real-time and scaled up to ensure the regression adapts to evolving market conditions.
Ordinary Least Squares (OLS): Uses OLS regression instead of gradient descent for more precise and efficient coefficient estimation.
ATR Bands: Smoothed Average True Range (ATR) bands serve as dynamic boundaries, framing the regression within market volatility.
Probability Output: Instead of a binary result, the output is a continuous probability curve (-1 to 1), helping traders gauge the strength of bullish or bearish momentum.
Formula:
OLS Regression = Line of best fit minimizing squared errors
Probability Signal = Transformed regression output scaled to -1 (bearish) to 1 (bullish)
ATR Bands = Smoothed Average True Range (ATR) to frame price movements within market volatility
🔶 DETAILS
📊 Visual Features:
Probability Curve: Smooth probability signal ranging from -1 (bearish) to 1 (bullish)
ATR Bands: Price action is constrained within volatility bands, preventing extreme deviations
Color-Coded Signals:
Blue to Green: Increasing probability of bullish momentum
Orange to Red: Increasing probability of bearish momentum
Interpretation:
Bullish Bias: Probability output consistently above 0 suggests a bullish trend.
Bearish Bias: Probability output consistently below 0 indicates bearish pressure.
Reversals: Extreme values near -1 or 1, followed by a move toward 0, may signal potential trend reversals.
🔶 EXAMPLES
📌 Trend Identification: Use the probability output to gauge trend direction.
📌Example: On a 1-hour chart, NPS moves from -0.5 to 0.8 as price breaks resistance, signaling a bullish trend.
Reversal Signals: Watch for probability extremes near -1 or 1 followed by a reversal toward 0.
Example: NPS hits 0.9, price touches the upper ATR band, then both retreat—indicating a potential pullback.
📌 Example snapshots:
Volatility Context: ATR bands help assess whether price action aligns with typical market conditions.
Example: During low volatility, the probability signal hovers near 0, and ATR bands tighten, suggesting a potential breakout.
🔶 SETTINGS
Customization Options:
ATR Period – Defines lookback length for ATR calculation (shorter = more responsive, longer = smoother).
ATR Multiplier – Adjusts band width for better volatility capture.
Regression Length – Controls how many bars feed into the coefficient calculation (longer = smoother, shorter = more reactive).
Scaling Factor – Adjusts the strength of regression coefficients.
Output Smoothing – Option to apply a moving average for a cleaner probability curve
Destroyer LifeDestroyer Life Strategy - High-Frequency Long & Short Trading
Overview:
The Destroyer Life strategy is an advanced cryptocurrency trading algorithm designed for high-frequency execution on the 15-second timeframe. It combines CRT (Candle Range Trend) and Turtle Soup trading logic with multi-timeframe analysis to optimize entries and exits for both long and short trades. This strategy is specifically optimized for high-volatility crypto pairs, such as SOL/USD on MEXC, ensuring precise execution with minimal drawdown.
Key Features:
15-Second Timeframe Execution: Optimized for ultra-short-term trading.
Long & Short Strategy: Simultaneously identifies profitable buy and sell opportunities.
CRT & Turtle Soup Logic: Leverages price action patterns for enhanced trade accuracy.
Higher Timeframe Analysis (HTF): Incorporates liquidity zones, fair value gaps (FVG), and breaker blocks for context-aware trading.
Dynamic Position Sizing: Uses an adjustable leverage multiplier for risk-controlled trade sizing.
Commission Optimization: Ensures profitability even with trading fees.
Strict Risk Management: Implements exit conditions based on liquidity structure and trend reversals.
Strategy Performance (Backtested on SOL/USD - MEXC):
Overall Profitability: ~80% win rate in backtesting.
Net Profit: $3,151.12 (6.30% ROI).
Gross Profit: $3,795.68 (7.59%).
Gross Loss: $644.56 (1.29%).
Long Trades Profit: $1,459.05 (2.92%).
Short Trades Profit: $1,692.07 (3.38%).
Commission Paid: $924.82.
Minimum Trade Holding Period: 1-minute cooldown between trades.
Trading Logic:
Entry Conditions:
Long Trades: Triggered when the price enters a liquidity void and aligns with higher timeframe bullish bias.
Short Trades: Triggered when price approaches a resistance level with bearish higher timeframe confluence.
CRT & Turtle Soup Patterns: Identifies reversals by analyzing breakout and fake-out structures.
Exit Conditions:
Long Positions Close: Upon price exceeding a 3.88% profit threshold or reversing below an HTF structure.
Short Positions Close: Upon reaching a similar 3.88% threshold or showing strong bullish signals.
Dynamic Position Sizing:
Uses a leverage-based calculation that adapts trade size based on volatility.
Liquidity Awareness:
Tracks Mitigation Blocks (MB), Fair Value Gaps (FVG), Buy/Sell-Side Liquidity (BSL/SSL) to determine optimal execution.
Best Use Cases:
Scalpers & High-Frequency Traders: Those looking for rapid trade execution with short holding periods.
Crypto Traders Focused on Low Timeframes: Optimized for 15-second price action.
Traders Utilizing Liquidity Concepts: Built to exploit liquidity traps and inefficiencies.
Risks & Considerations:
High-Frequency Execution Requires Low Latency: Ensure your broker or exchange supports fast order execution.
Backtested Results May Vary: Real-time performance depends on market conditions.
Commission & Fees Impact Profits: Consider exchanges with low fees to maximize strategy efficiency.
Final Thoughts:
The Destroyer Life Strategy is designed for serious traders looking to take advantage of high-volatility markets with a structured, liquidity-based approach. By combining price action, liquidity concepts, and adaptive risk management, it provides a solid framework for executing high-probability trades on crypto markets.
🚀 Ready to take your trading to the next level? Try Destroyer Life today and dominate the markets!
Breakout and Retest Signals [AlgoAlpha]OVERVIEW
This script detects breakout and retest signals by identifying key pivot points in price action and analyzing their relationship with historical swing highs and lows. It highlights breakout structures using ATR-based tolerance levels and volume analysis to confirm potential trend continuations or reversals. The script marks significant price levels with dynamic boxes and dashed lines to help traders visualize breakout and retest areas effectively.
CONCEPTS
The script relies on pivot point analysis, a technique used to identify significant price levels where the market has previously reversed. It dynamically tracks a set number of recent swing highs and lows, allowing traders to see if the price is revisiting a previously significant level. The concept of breakouts and retests is widely used in technical analysis to determine potential entry points. A breakout occurs when the price moves beyond a resistance or support level, and a retest happens when the price returns to test that level before continuing in the breakout direction. This script enhances that analysis by incorporating ATR-based tolerance levels, ensuring that price zones are not too large.
FEATURES
Breakout and Retest Markings : Highlights breakout and retest areas with shaded boxes, allowing traders to visualize where price action is confirming key levels.
Volume Delta and Ratio : Analyzes volume at breakout levels to gauge the strength of the move, displaying volume delta information for additional context. The script also displays the ratio of selling to buying at the retest along traders to make better judgement on their entries.
Multi-Timeframe Adaptability : Dynamically adjusts volume analysis to align with the appropriate lower timeframe, ensuring reliable volume comparisons.
Alerts for Breakout and Retest Events : Traders can receive real-time notifications when bullish or bearish breakout retests are detected.
USAGE
This script is best suited for traders looking to identify strong breakout and retest setups across different timeframes. Users can customize the pivot detection period and swing point memory to adjust sensitivity based on their trading style. The ATR length and multiplier allow further refinement of breakout tolerance, reducing noise in volatile markets. The breakout zones are displayed as shaded boxes, where traders can assess whether a price retest is occurring under favorable conditions. Alerts can be set to notify traders of potential trade opportunities.
Fibonacci Pivot Points & Previous D,W&M Highs/LowsIndicator Overview
This indicator combines Fibonacci Pivot Points with previous high and low levels for different timeframes (day, week, month). It plots these levels on the chart to provide traders with key support and resistance areas, making it easier to identify potential trading opportunities.
Features
Fibonacci Pivot Points:
The indicator calculates pivot points based on the high, low, and close prices.
Fibonacci levels are used to determine support (S1, S2, S3, S4, S5) and resistance (R1, R2, R3, R4, R5) levels.
Users can customize the Fibonacci levels for both support and resistance.
Previous Highs and Lows:
The indicator plots previous day, week, and month high and low levels.
Each of these lines can be customized in terms of visibility, color, and width.
This helps traders to see key historical levels that might act as support or resistance in the future.
Inputs and Customization:
Fibonacci Time Frame:
Users can select the timeframe for calculating the pivot points (Daily, Weekly, Monthly).
Fibonacci Levels:
Customizable input fields for each Fibonacci level (R1, R2, R3, R4, R5, S1, S2, S3, S4, S5).
Previous High/Low Lines:
Day Lines:
Options to show or hide previous day's high/low lines.
Customizable color and width for these lines.
Week Lines:
Options to show or hide previous week's high/low lines.
Customizable color and width for these lines.
Month Lines:
Options to show or hide previous month's high/low lines.
Customizable color and width for these lines.
Technical Calculations:
Fibonacci Pivot Points:
Calculated as:
pp = (High + Low + Close) / 3
S1 = pp - ((High - Low) * Fibonacci Level)
R1 = pp + ((High - Low) * Fibonacci Level)
Previous High/Low Levels:
Uses request.security to fetch previous high and low values for the selected timeframe.
Plotted using line.new to draw lines across the chart.
Plotting:
The indicator plots Fibonacci Pivot Points and previous high/low lines on the chart, using distinct colors for each level.
Customizable transparency and linewidths make it easier to visually interpret the levels.
This indicator is particularly useful for traders who rely on technical analysis to identify key support and resistance levels, offering a blend of historical data and Fibonacci-based predictions.
Feel free to ask if you have any specific questions or need further adjustments!
Heatmap Suite [PhenLabs]📊 Heatmap Suite
Version: PineScript™ v6
📌 Description
The Heatmap Suite is an advanced technical analysis tool that combines multiple density calculation methods with dynamic visualization to identify significant price levels and trading activity zones. It features a sophisticated analysis system that processes price and volume data through various kernel methods, providing traders with insights into market structure, support/resistance zones, and potential price reaction areas.
🚀 Points of Innovation:
Multi-method density calculation incorporating three distinct approaches
Adaptive visualization system with dynamic color gradients
Real-time dashboard with key market metrics
Significant level detection with automatic threshold adjustment
🚨 Important🚨
🔸Comprehensive tooltips included in the PhenLabs dashboard for in depth guidance
🔧 Core Components
Density Analysis: Multiple calculation methods for price distribution assessment
Heat Mapping: Dynamic visualization of price congestion zones
Level Detection: Automatic identification of significant price levels
Dashboard System: Real-time market metrics and analysis
🔥 Key Features
The indicator provides comprehensive analysis through:
Kernel Density: Traditional balanced view of price distribution
Exponential Kernel: Time-weighted analysis emphasizing recent price action
Volume-Weighted: Focus on high-volume price areas
Significant Levels: Automatic detection of important price zones
Heat Distribution: Color-coded visualization of price congestion
🎨 Visualization
Heat Zones: Shows intensity of price activity
Significant Lines: Key level indicators
Color Gradients: Indicates density strength
Dashboard Display: Real-time metrics
Dynamic Opacity: Reflects density intensity
📖 Usage Guidelines
The indicator offers several customization options:
Basic Settings:
Calculation Method: Choose between three density calculation approaches
Lookback Period: Analysis timeframe adjustment
Zone Count: Price range division granularity
Heat Sensitivity: Contrast adjustment for visualization
🎛️ Visual Settings:
Dashboard Size: Text size customization
Position: Dashboard placement options
Color Scheme: Heat map gradient visualization
Level Display: Significant price zone indicators
✅ Best Use Cases:
Identify strong support/resistance zones through high-density areas
Spot potential price reversal zones at significant levels
Analyze price congestion patterns
Monitor real-time changes in market structure
⚠️ Limitations
Requires sufficient historical data
Computational intensity increases with longer lookback periods
Heat sensitivity needs adjustment based on market conditions
Dashboard placement may need adjustment based on price action
💡 What Makes This Unique
Multi-method Analysis: Three distinct calculation approaches
Adaptive Visualization: Dynamic color gradient system
Real-time Metrics: Comprehensive dashboard display
Automatic Level Detection: Significant price zone identification
Memory-efficient Design: Optimized calculation methods
🔬 How It Works
The indicator processes market data through four main components:
1. Density Calculation:
Processes price and volume data
Applies selected kernel method
Generates density distribution
2. Heat Mapping:
Converts density values to color gradients
Updates visualization in real-time
Displays price congestion zones
3. Level Detection:
Identifies significant price levels
Applies threshold filtering
Marks important zones
4. Dashboard Updates:
Calculates real-time metrics
Updates display components
Provides market context
💡Note:
The indicator performs best with adequate historical data and proper sensitivity settings. Its sophisticated density analysis provides valuable insights into market structure beyond traditional support/resistance indicators.
Expiry Day Special IndicatorExpiry Day Special Indicator
The Expiry Day Special Indicator is designed to detect catalytic price action patterns that commonly occur between 9:15 AM to 10:15 AM (IST) in the Nifty & Bank Nifty markets but not limited to these specific markets. While these patterns are particularly useful on expiry days, they are not limited to expiry trading alone. They can also be applied on other trading days when similar conditions arise, making them versatile for intraday traders.
How It Works
This indicator scans for bullish and bearish price action patterns within the first trading hour and plots potential buy and sell signals based on key market structures.
• Bearish Patterns: Identifies strong rejection zones and weakness in price action to signal potential short trades.
• Bullish Patterns: Recognizes reversal formations that indicate potential long trade opportunities.
• Time Filter: The setup is valid only between 9:15 AM - 10:15 AM (IST) to focus on high-impact market moves.
Why This Indicator?
1. Specialized for Nifty & Bank Nifty – Designed specifically for Indian markets.
2. Early Trend Identification – Helps traders capture moves early in the session.
3. Works Beyond Expiry Days – Although optimized for expiry trading, it can also detect similar patterns on regular days.
📌 Note: This indicator does not provide trading advice; always use proper risk management.
Liquidity Sweep Filter [AlgoAlpha]Unlock a deeper understanding of market liquidity with the Liquidity Sweep Filter by AlgoAlpha. This indicator identifies liquidity sweeps, highlighting key price levels where large liquidations have occurred. By visualizing major and minor liquidation events, traders can better anticipate potential reversals and market structure shifts, making this an essential tool for those trading in volatile conditions.
Key Features :
🔍 Liquidity Sweep Detection – Identifies and highlights areas where liquidity has been swept, distinguishing between major and minor liquidation events.
📊 Volume Profile Integration – Displays a volume profile overlay, helping traders spot high-activity price zones where the market is likely to react.
📈 Trend-Based Filtering – Utilizes an adaptive trend detection algorithm to refine liquidity sweeps based on market direction, reducing noise.
🎨 Customizable Visualization – Modify colors, thresholds, and display settings to tailor the indicator to your trading style.
🔔 Alerts for Liquidity Sweeps & Trend Changes – Stay ahead of the market by receiving alerts when significant liquidity events or trend shifts occur.
How to Use:
🛠 Add the Indicator : Add the Liquidity Sweep Filter to your chart and configure the settings based on your preferred sensitivity. Adjust the major sweep threshold to filter out smaller moves.
📊 Analyze Liquidity Zones and trend direction : Look for liquidation levels where large buy or sell stops have been triggered. Major sweeps indicate strong reactions, while minor sweeps show gradual liquidity absorption. You can also see which levels are high in liquidity by the transparency of the levels.
🔔 Set-Up Alerts : Use the in-built alerts so you don't miss a trading opportunity
How It Works :
The Liquidity Sweep Filter detects liquidity events by tracking swing highs and lows (defined as a pivot where neighboring candles are lower/higher than it) where traders are likely to have placed stop-loss orders. It evaluates volume and price action, marking areas where liquidity has been absorbed by the market. Additionally, the integrated trend filter ensures that only relevant liquidity sweeps are highlighted based on market direction, lows in an uptrend and highs in a downtrend. The trend filter works by calculating a basis, and defining trend shifts when the closing price crosses over the upper or lower bands.The included volume profile further enhances analysis by displaying key trading zones where price may react.
Advanced Support & Resistance [Alpha Extract]🔶 AE - Advanced Support & Resistance
A sophisticated yet user-friendly tool designed to enhance your trading analysis by accurately identifying and plotting key support and resistance levels. Built on a unique pivot-based detection algorithm, this indicator provides clear visual cues in real time, helping traders stay ahead of potential market reversals and breakouts.
🔶 Pivot-Based Detection
Leverages pivot highs and lows along with a configurable threshold to filter out overlapping levels. This method helps the script stand out from simpler support/resistance indicators by focusing on the most significant price zones.
🔶 Multi-Timeframe Analysis
Pulls higher-timeframe data to ensure that critical levels remain visible and properly scaled, regardless of your current chart view. This prevents distortion and offers a more comprehensive perspective of market structure.
🔶 Break Signal Alerts
Generates breakout or breakdown signals whenever the price crosses above or below a detected level—labeled as RB (Resistance Break) or SB (Support Break)—so traders can quickly spot shifts in momentum or trend.
🔶 Customizable Parameters
Fine-tune sensitivity and appearance—adjust pivot bar settings, lookback periods, thresholds, and the maximum number of plotted levels to match your trading style and preferences.
// === USER INPUTS ===
pivotLeft = input.int(15, "Left Pivot Bars", minval=1)
pivotRight = input.int(15, "Right Pivot Bars", minval=1)
lookback = input.int(200, "Lookback Period", minval=50)
threshold = input.float(0.2, "Price Threshold %", minval=0.1, step=0.1)
maxLevels = input.int(10, "Maximum Levels", minval=1)
📊How It Works
🔶 Identifying Pivots
The script scans for pivot highs and lows within a user-defined range of bars (Left Pivot Bars and Right Pivot Bars). Each pivot is evaluated against a proximity threshold, ensuring that similar nearby levels are combined into a single zone rather than cluttering the chart.
// === SUPPORT & RESISTANCE DETECTION ===
ph = ta.pivothigh(high, pivotLeft, pivotRight)
pl = ta.pivotlow(low, pivotLeft, pivotRight)
🔶Automatic Updates & Removal
Levels that remain untested or break too frequently are automatically removed based on the configured lookback period, keeping your chart focused on the most relevant support/resistance zones.
🔶Fixed Scaling
Through the use of higher-timeframe anchoring, the indicator maintains consistent plot lines that won’t distort when you zoom in or out. This approach ensures you always see crucial levels clearly.
🔶Entry and Exit Points
Pinpoint potential entry and exit opportunities based on how price interacts with these zones.
🔶Risk Management
Place stop-loss and take-profit orders around these levels to manage trade risk more effectively.
🔶Trend Confirmation
Observe how price respects or breaks levels to confirm ongoing trends or detect early signs of reversal.
🔶Sensitivity Adjustment
Control pivot bar width (pivotLeft and pivotRight) and the proximity threshold to focus on major or minor price zones.
🔶Visualization Options
Adjust line colors, styles, and thickness to align with your charting preferences.
🔶Maximum Levels
Limit the number of displayed levels to keep your chart clean and free of unnecessary clutter.
