Simple Liquidity Sweep [rare_gold_steak]- Shows when the liquidity was swept.
- Shows BSL and SSL.
- Simple options to change styling.
I use it personally and some people liked it so I thought i'll share it with the public.
トレンド分析
Multi-TF 👀### Multi-Timeframe Analysis (MTF-Analysis)
**Overview**
The Multi-Timeframe Analysis indicator is a powerful visualization tool designed for traders who incorporate multi-timeframe (MTF) strategies into their decision-making process. It overlays compact, customizable candle representations from up to four higher timeframes directly on your chart, positioned to the right of the last bar for quick reference. This allows you to monitor price action, momentum via EMAs, and key levels like Fair Value Gaps (FVGs) across multiple resolutions without switching charts. Built with efficiency in mind, it supports automatic timeframe detection, real-time updates, and a clean, non-intrusive design that enhances your trading workflow.
Ideal for day traders, swing traders, and scalpers, this indicator helps identify alignments between timeframes, spot potential reversals or continuations, and validate entries/exits based on higher-timeframe context. It leverages Pine Script v6 for smooth performance, with optimizations to handle up to 5000 bars back and extensive drawing limits.
**Key Features**
- **Multi-Timeframe Candle Display**: Renders recent candles (configurable from 5 to 100 per timeframe) from selected higher timeframes (e.g., 5m, 15m, 1H, 4H) as compact bars with customizable width, spacing, and padding. Bullish and bearish candles are color-coded for instant recognition.
- **Automatic Timeframe Adaptation**: When enabled, the indicator intelligently selects complementary timeframes based on your chart's resolution (e.g., on a 1m chart, it might show 5m, 15m, and 1H). Manual overrides are available for full control.
- **EMA Overlays**: Plots EMA9, EMA21, and EMA50 on each MTF section using a user-defined source (e.g., OHLC/4, close). EMAs can be dashed for clarity and enabled/disabled per timeframe, helping to gauge momentum and trend strength.
- **Fair Value Gaps (FVGs)**: Detects bullish (+FVG) and bearish (-FVG) gaps with a configurable lookback length (5-50 bars). Gaps are visualized as dotted boxes extending from the candle, highlighting potential support/resistance zones or imbalances.
- **Time Labels and Debugging**: Displays timestamp labels under every fourth candle for chronological context. A debug mode expands spacing and adds detailed labels (e.g., OHLC, volume, EMA values) for testing and verification.
- **Customization Options**: Extensive inputs for colors (bodies, wicks, EMAs, FVGs), label sizes/styles, and layout ensure seamless integration with your chart theme. Supports futures symbols with a time offset adjustment.
- **Performance Optimizations**: Uses arrays for efficient data management, clears drawings on realtime updates or timeframe changes, and limits buffer sizes to prevent overload.
**How to Use**
1. Add the indicator to your chart via TradingView's "Indicators" menu.
2. Configure timeframes: Enable/disable up to four TFs and set the number of candles to display. Use "Auto Timeframe" for smart defaults.
3. Adjust EMAs: Select the source type and toggle per TF to focus on relevant momentum signals (e.g., EMA9 crossovers for short-term trades).
4. Enable FVGs: Activate per TF and tweak the length to suit your market (shorter for volatile assets, longer for trends).
5. Fine-tune appearance: Modify padding, candle width, and colors to avoid clutter. Use debug mode during setup.
6. Interpret: Align your chart's price action with MTF candles—look for confluence in trends, FVGs filling as support/resistance, or EMA alignments for high-probability setups.
**Input Settings**
- **General**: Hour offset for time adjustments (useful for futures).
- **Timeframes**: Enable TFs 1-4, select resolutions (e.g., "5m"), and set candle counts. Auto mode simplifies this.
- **FVG/iFVG**: Toggle per TF, customize colors and detection length.
- **EMA**: Enable per TF, choose source, colors, and dashed style.
- **Candle Appearance**: Bull/bear colors for bodies/wicks, width/spacing/padding, label size/color.
- **Debug**: Expands view for detailed inspection.
**Notes**
- This indicator is non-repainting and updates in realtime, but performance may vary on lower timeframes with many candles—reduce counts if needed.
- FVGs are calculated locally on recent bars for efficiency; historical gaps beyond the buffer aren't shown.
- Compatible with all symbols, but best on volatile markets like forex, crypto, or indices.
- Feedback welcome—updates may include more MA types or advanced FVG filters.
Enhance your edge with multi-timeframe insights—try MTF-Analysis today!
Multi Timeframe BOS & rBOSThis is the same Multi-Timeframe Break of Structure and Market Structure Shift posted by Lenny_Kiruthu. However, the only difference is the naming of Market Structure Shift to rBOS (Break of Structure Reverse). To me, they are all break of structures when previous peaks or valleys are violated. The only difference is in sequence. Once a sequence of BOS reverses, then a new sequence begins. To me, this simplifies the various terminology incorporated by different systems such as ICT or SMT which adds unnecessary complexity.
eT
Estimated Manipulation Movement Signal [AlgoPoint]Follow the Footprints of Whale Movements That Drive the Market
Overview
The market is not always driven by natural supply and demand. Large players—often called "whales" or institutions—can create artificial price movements to trigger stop-losses, induce panic or FOMO, and build their large positions at favorable prices. These events are known as "stop hunts" or "liquidity grabs."
The EMMS indicator is a specialized tool designed to detect these specific moments of potential market manipulation. It does not follow trends in a traditional sense; instead, it identifies high-probability reversal points created by the calculated actions of Smart Money trapping other market participants.
How It Works: The 3-Module Logic
The indicator uses a multi-stage confirmation process to identify a potential stop hunt:
1. Anomaly Detection: The engine first scans the chart for "Anomaly Candles." These are candles with unusually high volume and a very long wick relative to their body. This combination signals a sudden, forceful, and potentially unnatural price push.
2. Liquidity Zone Detection: The indicator automatically identifies and tracks recent significant swing highs and lows. These levels are considered "Liquidity Zones" because they are areas where a large number of stop-loss orders are likely clustered. These are the "hunting grounds" for whales.
3. The Stop Hunt Signal: A final signal is generated only when these two events align in a specific sequence:
An Anomaly Candle (high volume, long wick) spikes through a previously identified Liquidity Zone.
The same candle then reverses, closing back inside the previous price range.
This sequence confirms that the move was likely a "trap" designed to engineer liquidity, and a reversal in the opposite direction is now highly probable.
How to Interpret & Use This Indicator
BUY Signal: A BUY signal appears after a sharp price drop that pierces a recent swing low (taking out the stops of long positions) and then aggressively reverses to close higher. This suggests that Smart Money has absorbed the panic selling they just induced. The signal indicates a potential move UP.
SELL Signal: A SELL signal appears after a sharp price spike that pierces a recent swing high (taking out the stops of short positions) and then aggressively reverses to close lower. This suggests that Smart Money has sold into the FOMO buying they just created. The signal indicates a potential move DOWN.
This indicator is best used as a high-probability confirmation tool, ideally in conjunction with your understanding of the overall market trend and structure.
3CRGANG - SUPPLY/DEMAND ZONESOverview
The "3CRGANG - SUPPLY/DEMAND ZONES" indicator is a sophisticated tool designed to identify, classify, and visualize dynamic supply (resistance) and demand (support) zones on your TradingView charts. It goes beyond basic level plotting by incorporating a state-based system that tracks how zones evolve based on price interactions, helping traders anticipate potential reversals, continuations, or breakdowns at key levels. Zones are categorized into states like Untested, Verified, Weak, Flipped, and Broken, providing contextual insights into their strength and reliability. This indicator is particularly useful for swing traders, scalpers, and position traders who rely on price action around institutional levels, as it filters noise and highlights actionable zones with customizable alerts and visual aids.
Built on Pine Script v6, it overlays directly on your chart with semi-transparent boxes for zones, optional labels for quick reference, and alert triggers for zone tests. The invite-only access ensures users benefit from its proprietary enhancements, making it a premium alternative to generic zone indicators.
How It's Built: Core Concepts and Calculations
At its foundation, the indicator detects potential supply and demand zones using a fractal-based pivot detection method, which identifies local highs and lows by comparing a central bar's price to surrounding bars within a validation window. This window is dynamically adjusted via a "Fractal Sensitivity Factor" (default 6.0), which scales the lookback period relative to your chart's timeframe—ensuring zones adapt to market volatility without over- or under-fitting. For example, on a 15-minute chart, this might equate to checking 18-24 bars around a candidate pivot for confirmation.
Once a fractal pivot is confirmed:
Zone Boundaries: The zone is constructed around the pivot high/low, extended by a fraction of the Average True Range (ATR, period 7) using the "Zone Boundary ATR Multiplier" (default 0.3). This creates a band that accounts for typical price fluctuations, preventing overly tight or loose zones. A subtle "Zone Fuzz Factor" (default 0.15) adds a minor buffer to the ATR-derived extension, allowing for fine-tuning in choppy markets without altering the core range.
Merging Overlaps: To avoid clutter, overlapping zones of the same type (or flipped counterparts) are intelligently merged through up to 2-3 passes (configurable via "Max Merge Passes"). This consolidation increases the "test count" for the resulting zone, reflecting cumulative price rejections and enhancing its perceived strength.
Zone Testing and Classification: Price interactions with zones are evaluated using one of two methods:
Dynamic - Bars: Counts tests when price wicks into the zone from outside or closes out after entering, with a minimum gap (0-2 bars) to prevent rapid-fire counts in ranging markets.
Mechanical - Pivots: Enhances the dynamic method by requiring a mechanical pivot (e.g., via TradingView's built-in pivothigh/pivotlow) within the zone during the test, adding a layer of confirmation for more conservative signals. Tests are tallied with a "Weak Zone Test Threshold" (default 1), classifying zones as:
Untested: No interactions yet—fresh levels with high potential.
Weak: 1 or fewer meaningful tests—early signals that may fade.
Verified: Multiple tests (above threshold)—strong, repeatedly respected levels.
Flipped: A broken zone that reverses role (e.g., resistance becomes support), based on a decisive close beyond the boundary.
Broken: Permanently invalidated by a strong breakout, optionally displayed for historical context.
Time and Session Integration: Zones are timestamped and limited to a "Back Limit" (default 500 bars) for performance. It incorporates a custom holiday library (importing from RotemB's LIBRARY_3CRGANG_Holidays_Library) to detect closures across major exchanges (NYSE, LSE, FSE, SSX, TSE, HKSE), adjusting session times for half-days and full holidays. Alerts are filtered by user-selected sessions, weekends, and a "Do Not Disturb" (DND) mode with timezone-aware scheduling (e.g., UTC+3 Jerusalem default, selectable from 90+ global options).
This combination of fractal detection, ATR-based sizing, multi-pass merging, and test-driven state evolution draws from classic supply/demand principles but refines them with proprietary logic to handle real-world market dynamics, such as volatility clustering and institutional session biases.
Why It’s Useful
Supply and demand zones are foundational to price action trading, representing areas where large orders accumulate and cause reversals or pauses. This indicator streamlines the process by automating zone discovery and maintenance, saving time compared to manual drawing. Its state system adds predictive value: Verified zones often signal high-probability bounces, while Flipped ones highlight role reversals for trend continuation trades. Alerts notify you of tests in real-time, ideal for multi-chart monitoring, and session/holiday filters reduce false signals during low-liquidity periods (e.g., no alerts on Christmas for NYSE-linked assets).
Traders benefit from reduced emotional bias—zones "age out" beyond the back limit, focusing on recent action—and customizable visuals prevent chart overload. In volatile markets like forex or crypto, the ATR-adjusted boundaries adapt better than fixed-percentage methods, while the test count helps gauge exhaustion (e.g., over-tested Weak zones may signal impending breaks). Overall, it enhances decision-making by providing not just levels, but their evolving context.
How to Use It
Add to Chart:
Search for "3CRGANG - SUPPLY/DEMAND ZONES" in TradingView's invite-only scripts (access required). Apply to any timeframe from 1-minute to yearly, though it shines on intraday (15M-4H) for active trading.
Configure Inputs:
Test Mode: Choose "Dynamic - Bars" for sensitive, wick-focused testing or "Mechanical - Pivots" for stricter, pivot-confirmed interactions. Adjust "Minimum Test Gap" (0-2) to filter rapid tests and "Weak Zone Test Threshold" (1-3) to define strength tiers.
Pivot Filters: Tune "Fractal Sensitivity Factor" (5-14) for fewer/more zones—higher values for smoother trends, lower for chop.
Zone Width: Set "Zone Boundary ATR Multiplier" (0-1) for tighter/wider bands; use "Zone Fuzz Factor" (0-1) sparingly for boundary tweaks.
Visual: Select zone style (Solid/Dashed/Dotted), linewidth (1-3), and horizontal extension (None/Right/Both). Toggle visibility per state (e.g., hide Broken for cleaner charts).
Labels: Enable "Show Labels" for state/type info; add "Show Zone Size" (in pips/$) and "Show Test Count" for details. Adjust shift for positioning.
Alerts: Enable per state (Untested/Weak/Verified/Flipped). Filter by sessions (e.g., enable NYSE for US equities), holidays, weekends, and DND (set time ranges in your timezone to mute notifications).
Colors: Customize per state/type for intuitive visuals (e.g., red shades for resistance).
Trading Application:
Entries: Buy at Verified Demand (green) tests, sell at Verified Supply (red). Use Flipped zones for breakout confirmation.
Exits/Risk: Place stops beyond zone boundaries; trail profits on Weak/Flipped signals indicating fading strength.
Alerts Setup: In TradingView's alert dialog, select this indicator and configure for "alert() function calls only" to receive zone-test notifications.
Multi-Timeframe: View higher-TF zones on lower charts for confluence (e.g., daily zones on 1H).
Best Practices: Combine with volume or oscillators; backtest on your asset to optimize sensitivity.
Chart Example: XAG/USD (m5 timeframe)
Chart Notes
The chart displays zones on XAGUSD (M5 timeframe), presenting a clear price action structure with three distinct zones. A green Verified Support zone, marked with a translucent green box, indicates a robust demand level that has been tested multiple times and held firm. A blue Weak Support zone, outlined with a lighter blue box, reflects a less-tested support level with fewer rejections, suggesting lower reliability. A gold Flipped Resistance zone, highlighted with a golden box, initially acted as a resistance with rejections before breaking through and retesting as a support zone, showcasing its transition. Labels appear to the right of each zone, displaying details such as "VERIFIED SUPPORT (6.72 points, T=3)" for the Verified zone, "WEAK SUPPORT (6.9 points, T=1)" for the Weak zone, and "FLIPPED SUPPORT (3.85 points, T=10)" for the Flipped zone, with sizes in dollars (or pips if under $1) and test counts included. Zones extend horizontally to the right based on the user-defined shift setting, with customizable dashed or dotted borders for enhanced visual clarity.
Requires 500 bars of history for optimal performance. Alerts are muted during holidays (e.g., Lunar New Year) or Do Not Disturb periods.
Settings
Test Mode: Choose method (Dynamic - Bars or Mechanical - Pivots), set minimum test gap (0-2 bars), and weak zone threshold (1-3 tests).
General: Adjust back limit (250-1000 bars).
Pivot Filters: Set fractal sensitivity factor (5-14) and max merge passes (1-3).
Zone Width: Define ATR multiplier (0-1) and fuzz factor (0-1).
Visual: Select zone style (Solid, Dashed, Dotted), line width (1-3), shift end right (1-50 bars), and extension (None, Right, Both).
Visibility: Toggle display for each state (Untested, Verified, Weak, Flipped, Broken).
Labels: Enable labels, set shift (1-50 bars), size, and show size/test counts.
Alerts: Enable alerts by state (Untested, Weak, Verified, Flipped).
DND Settings: Set timezone, Do Not Disturb hours, and weekend alerts.
Sessions Alerts: Filter alerts by exchange (NYSE, LSE, etc.) and holiday settings.
Colors: Assign colors to each zone state and type.
Why It's Unique and Worth Invite-Only Access
While supply/demand indicators exist, this one stands out through its integrated ecosystem: adaptive fractal pivots with sensitivity scaling, multi-pass overlap merging that preserves test history, and a nuanced state machine that evolves zones based on configurable test mechanics—far beyond simple high/low plotting or basic breakouts. The proprietary blending of ATR fuzzing, retroactive test validation during zone creation, and global exchange holiday/session filtering (with half-day adjustments) minimizes irrelevant alerts, a common pain point in public scripts. It doesn't rely solely on built-ins or educational code; instead, it enhances them with custom logic for zone lifecycle management, making it resilient across assets and timeframes.
This originality justifies its closed-source nature—revealing the full interplay of fractal windowing, merge algorithms, and alert conditioning could dilute its edge. As an invite-only script, it provides clear value through premium features like timezone-aware DND, comprehensive holiday integration (e.g., Lunar New Year for HKSE), and state-aware alerts, which aren't replicated in free alternatives. Traders seeking an efficient, low-noise tool for institutional-level analysis will find it worth the access, as it delivers actionable insights that generic indicators overlook.
Disclaimer
This indicator assists in zone identification but does not guarantee success. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management.
⚪ Liquidity Spike Marker
Description:
The Liquidity Spike Marker indicator helps to identify abnormal bursts of liquidity in the market. The logic is based on comparing the product of the volume by the minimum candle price (Volume × Low) with the threshold value set by the user.
When the value exceeds the threshold, a white triangle appears under the candle, indicating a possible influx of liquidity. This can help traders pay attention to the key points where large participants may enter the market.
Features:
Displays a placemark (⚪ white triangle) when the threshold is exceeded.
Configurable parameter Volume × Low Threshold.
The ability to set an alert for automatic notification.
A lightweight and minimalistic tool without unnecessary elements.
Note: The indicator is not a trading recommendation. Use it in combination with your own trading system and other analysis methods.
Higher High Lower Low Multi-TF📊 Higher High Lower Low Multi-Timeframe Indicator
Detects market structure shifts (HH, HL, LH, LL)
Identifies trend direction (bullish / bearish / neutral)
Works across multiple timeframes (M5 to Weekly)
Displays a compact trend summary table on the chart
Customizable pivot sensitivity (Left/Right Bars)
Visual labels on chart for structure points
Ideal for structure-based trading and SMC traders
Market Pressure Oscillator█ OVERVIEW
The Market Pressure Oscillator is an advanced technical indicator for TradingView, enabling traders to identify potential trend reversals and momentum shifts through candle-based pressure analysis and divergence detection. It combines a smoothed oscillator with moving average signals, overbought/oversold levels, and divergence visualization, enhanced by customizable gradients, dynamic band colors, and alerts for quick decision-making.
█ CONCEPT
The indicator measures buying or selling pressure based on candle body size (open-to-close difference) and direction, with optional smoothing for clarity and divergence detection between price action and the oscillator. It relies solely on candle data, offering insights into trend strength, overbought/oversold conditions, and potential reversals with a customizable visual presentation.
█ WHY USE IT?
- Divergence Detection: Identifies bullish and bearish divergences to reinforce signals, especially near overbought/oversold zones.
- Candle Pressure Analysis: Measures pressure based on candle body size, normalized to a ±100 scale.
- Signal Generation: Provides buy/sell signals via overbought/oversold crossovers, zero-line crossovers, moving average zero-line crossovers, and dynamic band color changes.
- Visual Clarity: Uses dynamic colors, gradients, and fill layers for intuitive chart analysis.
Flexibility: Extensive settings allow customization to individual trading preferences.
█ HOW IT WORKS?
- Candle Pressure Calculation: Computes candle body size as math.abs(close - open), normalized against the average body size over a lookback period (avgBody = ta.sma(body, len)). - Candle direction (bullish: +1, bearish: -1, neutral: 0) is multiplied by body weight to derive pressure.
- Cumulative Pressure: Sums pressure values over the lookback period (Lookback Length) and normalizes to ±100 relative to the maximum possible value.
- Smoothing: Optionally applies EMA (Smoothing Length) to normalized pressure.
- Moving Average: Calculates SMA (Moving Average Length) for trend confirmation (Moving Average (SMA)).
- Divergence Detection: Identifies bullish/bearish divergences by comparing price and oscillator pivot highs/lows within a specified range (Pivot Length). Divergence signals appear with a delay equal to the Pivot Length.
- Signals: Generates signals for:
Crossing oversold upward (buy) or overbought downward (sell).
Crossing the zero line by the oscillator or moving average (buy/sell).
Bullish/bearish divergences, marked with labels, enhancing signals, especially near overbought/oversold zones.
Dynamic band color changes when the moving average crosses MA overbought/oversold thresholds (green for oversold, red for overbought).
- Visualization: Plots the oscillator and moving average with dynamic colors, gradient fills, transparent bands, and labels, with customizable overbought/oversold levels.
Alerts: Built-in alerts for divergences, overbought/oversold crossovers, and zero-line crossovers (oscillator and moving average).
█ SETTINGS AND CUSTOMIZATION
- Lookback Length: Period for aggregating candle pressure (default: 14).
- Smoothing Length (EMA): EMA length for smoothing the oscillator (default: 1). Higher values smooth the signal but may reduce signal frequency; adjust overbought/oversold levels accordingly.
- Moving Average Length (SMA): SMA length for the moving average (default: 14, minval=1). Higher values make SMA a trend indicator, requiring adjusted MA overbought/oversold levels.
- Pivot Length (Left/Right): Candles for detecting pivot highs/lows in divergence calculations (default: 2, minval=1). Higher values reduce noise but add delay equal to the set value.
- Enable Divergence Detection: Enables divergence detection (default: true).
- Overbought/Oversold Levels: Thresholds for the oscillator (default: 30/-30) and moving average (default: 10/-10). For the moving average, no arrows appear; bands change color from gray to green (oversold) or red (overbought), reinforcing entry signals.
- Signal Type: Select signals to display: "None", "Overbought/Oversold", "Zero Line", "MA Zero Line", "All" (default: "Overbought/Oversold").
- Colors and Gradients: Customize colors for bullish/bearish oscillator, moving average, zero line, overbought/oversold levels, and divergence labels.
- Transparency: Adjust gradient fill transparency (default: 70, minval=0, maxval=100) and band/label transparency (default: 40, minval=0, maxval=100) for consistent visuals.
- Visualizations: Enable/disable moving average, gradients for zero/overbought/oversold levels, and gradient fills.
█ USAGE EXAMPLES
- Momentum Analysis: Observe the MPO Oscillator above 0 for bullish momentum or below 0 for bearish momentum. The SMA, being smoother, reacts slower and can confirm trend direction as a noise filter.
- Reversal Signals: Look for buy triangles when the oscillator crosses oversold upward, especially when the SMA is below the MA oversold threshold and the band turns green. Similarly, seek sell triangles when crossing overbought downward, with the SMA above the MA overbought threshold and the band turning red.
- Using Divergences: Treat bullish (green labels) and bearish (red labels) divergences as reinforcement for other signals, especially near overbought/oversold zones, indicating stronger potential trend reversals.
- Customization: Adjust lookback length, smoothing, and moving average length to specific instruments and timeframes to minimize false signals.
█ USER NOTES
Combine the indicator with tools like Fibonacci levels or pivot points to enhance accuracy.
Test different settings for lookback length, smoothing, and moving average length on your chosen instrument and timeframe to find optimal values.
StoxAI Magic Trend Indicator V2StoxAI Magic Trend Indicator V2 is here. Get live Trade Stats and Strength Scores with AI weights for each candlestick chart.
RSI + Volume ConfirmationFOR PRIVATE USE ONLY.
-Use to detect the trend changes based on RSI and Volume
-Both needed to align before putting in any trade entry
-Must understand how to use S&R
-Its not a foolproof. Do not use if you dont understand how to trade.
-Version is currently on BEta testing mode and will update from time to time.
Full credit goes to BOSS/CRC/CBC community
MC WITH ALERTS DINESH SETHIYAManipulation Candle (MC): A candlestick that initially suggests price movement in one direction but then reverses, manipulating liquidity and closing in the opposite direction.
Types of MCs:
Bullish MC: Takes out the previous candle's low, reverses, takes out the previous candle's high, and closes above it.
Bearish MC: Takes out the previous candle's high, reverses, takes out the previous candle's low, and closes below it.
Ideal MC Characteristic: The rejection wick (bottom wick for bullish MC, top wick for bearish MC) should be larger than the directional wick.
Trading Mastery Indicator# Trading Mastery Indicator - Complete User Guide
## Overview
The Trading Mastery Indicator is a professional-grade technical analysis tool that provides high-probability trading signals with complete trade management information including entry, stop loss, and take profit levels.
## Key Features
- High-Quality Signal Detection: Identifies strong, medium, and weak trading opportunities
- Complete Trade Setup: Provides entry, stop loss, and take profit for every signal
- Risk Management: Calculates risk-to-reward ratios automatically
- Elliott Wave Analysis: Integrated wave pattern and position analysis
- Active Signal Tracking: Shows when you're currently in a trade
- Professional Alerts: Detailed notifications with all trade parameters
## Signal Quality Classification
### STRONG Signals (Premium Quality)
- Reliability: Highest probability setups
- Market Conditions: Strong trending environments
- Color: Teal for buys, Red for sells
- When to Trade: These are your primary trading opportunities
- Risk Profile: Lowest risk, highest reward potential
### MEDIUM Signals (Standard Quality)
- Reliability: Good probability setups
- Market Conditions: Moderate trend or consolidation breakouts
- Color: Gold for buys, Purple for sells (Change to Blue Gray)
- When to Trade: Secondary opportunities when strong signals are scarce
- Risk Profile: Moderate risk, good reward potential
### WEAK Signals (Entry Quality)
- Reliability: Lower probability setups
- Market Conditions: Counter-trend or unclear market structure
- Color: Coral for buys, Pink for sells
- When to Trade: Only for experienced traders in specific market conditions
- Risk Profile: Higher risk, variable reward
## How to Use the Indicator
### 1. Signal Settings Configuration
Signal Filter Options:
- All Signals: Shows every trading opportunity (strong, medium, weak)
- High Quality Only: Shows only the highest probability setups
- High + Medium Quality**: Balanced approach filtering out weak signals
Recommended Settings by Experience:
- Beginner: Use "High Quality Only"
- Intermediate: Use "High + Medium Quality"
- Advanced: Use "All Signals" with proper risk management
Label Controls:
- Label Position: Adjust how close labels appear to candles
- Label Text Size: Choose based on screen size and preference
- Maximum Labels: Control chart clutter (recommended: 20)
### 2. Understanding the Professional Panel
The panel provides real-time market intelligence:
Primary Trend: Market direction analysis
- BULLISH TREND: Look for buy opportunities only
- BEARISH TREND: Look for sell opportunities only
- CONSOLIDATION: Market indecision, trade with caution
Wave Pattern: Elliott Wave structure analysis
- IMPULSE UP: Strong bullish momentum
- IMPULSE DOWN: Strong bearish momentum
- CORRECTION: Sideways/corrective movement
Wave Position: Current Elliott Wave position
- WAVE 3 (STRONG): Most powerful moves, best for trend following
- WAVE 1 OR 5: Beginning or ending waves
- WAVE 2 OR 4: Corrective phases, lower probability
- CORRECTIVE ABC: Wait for pattern completion
Signal Grade: Current signal status
- SIGNAL ACTIVE: You're currently in a trade
- PREMIUM/STANDARD/SPECULATIVE: New signal quality
- NO SIGNAL: No current opportunities
Trading Bias: Overall market direction
- LONG BIAS: Focus on buy opportunities
- SHORT BIAS: Focus on sell opportunities
- NEUTRAL: No clear directional bias
### 3. Reading Signal Labels
Each signal provides complete trade setup information:
```
STRONG BUY
━━━━━━━━━━━━━━━━━━━━
💰 Entry: 1875.50
🛡️ SL: 1860.25
🎯 TP: 1905.75
📈 R:R = 1:2.0
━━━━━━━━━━━━━━━━━━━━
```
Understanding the Information:
- Entry: Exact price level to enter the trade
- SL: Stop loss level (risk management)
- TP: Take profit level (profit target)
- R:R: Risk-to-reward ratio (1:2.0 means you risk 1 to make 2)
### 4. Entry/TP/SL Level Lines
Visual trade management aids:
- Blue Solid Line: Entry level
- Red Dashed Line: Stop loss level
- Green Dashed Line: Take profit level
- Small Labels: "ENTRY", "SL", "TP" markers
## Trading Strategy Guidelines
### Trend Following Strategy
1. Check Panel: Ensure trend aligns with your trade direction
2. Wait for Signals: Only trade in the direction of the primary trend
3. Quality First: Focus on STRONG signals during trending markets
4. Wave Timing: WAVE 3 positions offer the best trending opportunities
### Reversal Strategy
1. Look for Divergence: Panel shows trend change signals
2. Wait for Confirmation: Don't jump early on potential reversals
3. Use MEDIUM Signals: Often good for catching early trend changes
4. Watch Wave Position: CORRECTIVE ABC patterns may signal trend completion
### Risk Management Rules
Position Sizing:
- Risk no more than 1-2% of account per trade
- Use the provided R:R ratios to calculate position sizes
- Stronger signals can justify slightly larger positions
Stop Loss Management:
- Always use the provided stop loss levels
- Never move stops against your position
- Consider trailing stops once trade moves in your favor
Take Profit Strategy:
- Use provided TP levels as minimum targets
- Consider taking partial profits at TP level
- Let strong trends run beyond TP in trending markets
## Best Practices by Timeframe
### Scalping (M1-M5)
- Use "High Quality Only" filter
- Focus on STRONG signals only
- Quick entry and exit
- Expect more false signals due to market noise
### Intraday Trading (M15-H1)
- Use "High + Medium Quality" filter
- Good balance of opportunity and reliability
- Hold trades for several hours
- Most versatile timeframe for the indicator
### Swing Trading (H4-Daily)
- Use "All Signals" with proper analysis
- Hold trades for days to weeks
- Most reliable signals on higher timeframes
- Best for beginners due to less noise
## Panel Customization
Position Options:
- Top Right: Default, doesn't interfere with price action
- Top Left: Good for wide screens
- Bottom corners: Keeps important info visible while analyzing tops
- Middle positions: Central reference, good for multi-monitor setups
Size Options:
- Small: Minimal screen space, good for small screens
- Normal: Balanced visibility and space usage
- Large: Easy reading, good for detailed analysis
Transparency: Adjust 0-95% based on preference and chart background
## Common Mistakes to Avoid
### Signal Interpretation Errors
- Don't ignore the trend: Trading against primary trend reduces success
- Don't chase weak signals: Focus on quality over quantity
- Don't ignore wave position: WAVE 2/4 corrections are lower probability
### Risk Management Errors
- Don't skip stop losses: Every signal includes SL for a reason
- Don't risk too much: Even strong signals can fail
- Don't move stops against position: Stick to the plan
### Psychological Errors
- Don't overtrade: Wait for quality setups
- Don't second-guess strong signals: Trust the analysis
- Don't panic on normal drawdowns: Expect some losing trades
## Alert Configuration
Enable alerts for:
- Strong signals: Primary trading opportunities
- Medium signals: Secondary opportunities (optional)
- Signal active status: Know when you're in trades
Alert messages include complete trade information for easy execution.
## Performance Optimization
### For Best Results:
1. Combine with price action: Look for confluence with support/resistance
2. Consider market sessions: Different sessions have different characteristics
3. Monitor news events: Avoid trading during high-impact news
4. Keep a trading journal: Track which signals work best for your style
### Regular Review:
- Weekly analysis: Review which signal types performed best
- Timeframe assessment: Determine your most profitable timeframes
- Strategy refinement: Adjust filters based on performance data
## Troubleshooting
If you're not seeing signals:
- Check that "Show Buy/Sell Signals" is enabled
- Verify your signal filter isn't too restrictive
- Market may be in a consolidation phase
If labels are cluttered:
- Reduce "Maximum Labels to Show"
- Change label position to "Far from Candle"
- Use smaller label text size
If panel is in the way:
- Change panel position
- Increase transparency
- Reduce panel size
- Toggle panel off temporarily
Remember: This indicator provides analysis and signals, but successful trading also requires proper risk management, emotional discipline, and understanding of market conditions. Always practice with demo accounts before risking real capital, and never risk more than you can afford to lose.
Tristan's Star: 15m Shooting Star DetectorThis script is designed to be used on the 1-minute chart , but it analyzes the market as if you were watching the 15-minute candles.
Every cluster of 15 one-minute candles is grouped together and treated as a single 15-minute candle.
When that 15-minute “synthetic” candle looks like a shooting star pattern (small body near the low, long upper wick, short lower wick, bearish bias), the script triggers a signal.
At the close of that 15-minute cluster, the script will:
Plot a single “Sell” label on the last 1-minute bar of the group.
Draw a horizontal line across the 15 bars at the high, showing the level that created the shooting star.
Optionally display a table cell in the corner with the word “SELL.”
This lets you stay on the 1-minute timeframe for precision entries and exits, while still being alerted when the higher-timeframe (15-minute) shows a bearish reversal pattern.
MA DeviationEnglish Description
Overview
The "MA Deviation" indicator is a powerful tool designed to measure and visualize the percentage difference between three separate moving averages. By quantifying the deviation, traders can gain insights into trend strength, potential reversals, and periods of market consolidation. When the moving averages diverge significantly, it often signals a strong, directional move.
This indicator is displayed in a separate pane below the main price chart.
Key Features
Three Customizable Moving Averages: You can independently configure the type (SMA, EMA, WMA, etc.) and length for three distinct moving averages (MA1, MA2, MA3).
Multiple Deviation Plots: The indicator plots the percentage deviation between:
MA1 and MA2 (Blue Line)
MA2 and MA3 (Red Line)
MA1 and MA3 (Green Line)
You can toggle each of these lines on or off.
Visual Threshold Signals: A key feature is the dynamic background color.
The background turns green when all enabled deviation lines move above a user-defined positive threshold (e.g., +0.5%), indicating a strong bullish consensus among the moving averages.
The background turns red when all enabled deviation lines fall below the negative threshold (e.g., -0.5%), indicating a strong bearish consensus.
Built-in Alerts: The script includes three specific alert conditions that trigger only on the first bar where the condition is met, preventing repetitive notifications:
The Color Came Out: Triggers when the background first turns either green or red.
Long Chance: Triggers only when the background first turns green.
Short Chance: Triggers only when the background first turns red.
How to Use
This indicator can be used to confirm trend strength or identify potential entry/exit points. For example:
A green background can be interpreted as a potential long entry signal or confirmation of a strong uptrend.
A red background can suggest a potential short entry opportunity or confirmation of a strong downtrend.
When the deviation lines hover around the zero line, it indicates that the market is consolidating or ranging.
Adjust the moving average lengths and the threshold percentage to tailor the indicator to your specific trading strategy and timeframe.
日本語説明 (Japanese Description)
概要
「MA Deviation」インジケーターは、3つの異なる移動平均線間の乖離率(パーセンテージ)を測定し、視覚化するために設計された強力なツールです。この乖離を数値化することで、トレーダーはトレンドの強さ、潜在的な反転、市場のレンジ相場についての洞察を得ることができます。移動平均線が大きく乖離する時、それはしばしば強力な方向性のある動きを示唆します。
このインジケーターは、メインの価格チャートの下にある別ペインに表示されます。
主な特徴
3つのカスタム可能な移動平均線: 3つの移動平均線(MA1, MA2, MA3)それぞれに対して、タイプ(SMA, EMA, WMAなど)と期間を個別に設定できます。
複数の乖離率プロット: このインジケーターは、以下の乖離率をラインでプロットします。
MA1とMA2の乖離率(青ライン)
MA2とMA3の乖離率(赤ライン)
MA1とMA3の乖離率(緑ライン)
これらのラインはそれぞれ表示・非表示を切り替えることが可能です。
背景色による視覚的なシグナル: このツールの最大の特徴は、動的に変化する背景色です。
有効になっている全ての乖離率ラインが、ユーザーが設定した正のしきい値(例:+0.5%)を上回ると、背景が緑色に変わります。これは移動平均線間で強気なコンセンサスが形成されていることを示します。
有効になっている全ての乖離率ラインが、負のしきい値(例:-0.5%)を下回ると、背景が赤色に変わります。これは弱気なコンセンサスを示します。
ビルトイン・アラート: スクリプトには、条件が成立した最初のバーでのみ作動する3種類のアラート機能が含まれており、繰り返し通知されるのを防ぎます。
The Color Came Out: 背景色が緑または赤に初めて変化した時にトリガーされます。
Long Chance: 背景色が初めて緑色に変化した時にのみトリガーされます。
Short Chance: 背景色が初めて赤色に変化した時にのみトリガーされます。
使用方法
このインジケーターは、トレンドの強さを確認したり、エントリー/エグジットのポイントを探るために使用できます。例えば、
緑色の背景は、ロングエントリーのシグナル、または強い上昇トレンドの確認と解釈できます。
赤色の背景は、ショートエントリーの機会、または強い下降トレンドの確認を示唆します。
乖離率ラインがゼロライン付近で推移しているときは、市場がレンジ相場であることを示します。
ご自身のトレーディング戦略や時間足に合わせて、移動平均線の期間やしきい値(%)を調整してご活用ください。
EMA + MACD Entry Signals (Jason Wang)EMA9、20、200 + MACD(12、26、9) Entry Signals ,严格的设置出入场条件
1.做多的k棒:
• EMA9 > EMA200
• EMA20 > EMA200
• EMA9 > EMA20
• MACD DIF > 0 且 DIF > DEM
• 入场信号:
• DIF 上穿 DEM
• 或 EMA9 上穿 EMA20
2.做空的k棒:
• EMA9 < EMA200
• EMA20 < EMA200
• EMA9 < EMA20
• MACD DIF < 0 且 DIF < DEM
• 入场信号:
• DIF 下穿 DEM
• 或 EMA9 下穿 EMA20
Ober Trend Oscillator [by Oberlunar]The Ober Trend Oscillator by Oberlunar unifies a volume-weighted view of price with order-flow information in a single, disciplined signal. At its core is a Triple Hull Moving Average applied to the session VWAP. This pairing is intentional: the Hull family is widely used because its quadratic weighting and internal differencing reduce phase lag versus SMA/EMA while preserving a smooth, readable contour; running it on top of VWAP anchors the calculation to a price already “risk-weighted” by volume, which behaves in practice like a microstructural equilibrium level. Around VWAP, the indicator computes standard-deviation envelopes that provide statistical context; excursions to the far band against the prevailing direction often mark probabilistic excess and become the first checkpoint for signal qualification.
The order-flow module is built on a tick-rule Cumulative Volume Delta, the most robust choice when native bid/ask deltas are unavailable. Volumes are signed by up- or down-moves, cumulatively integrated, then smoothed by a configurable EMA. To make the series comparable across instruments and timeframes, the CVD is standardised via an adjustable z-score window. This normalisation matters because it reframes “push” and “exhaustion” as deviations from recent behaviour rather than absolute thresholds tied to each market’s idiosyncratic liquidity. When enabled, a pivot-based divergence engine searches for fresh local highs or lows in price that the CVD refuses to confirm and annotates the symbol Δ with the percentage size of the divergence on price, on CVD, or both. Quantifying divergence avoids binary, eye-ball readings and lets you compare the relative strength of signals over time.
Signal generation follows a two-stage logic. Stage one is regime detection by the THMA on VWAP. The slope of the long THMA defines the primary trend, while the instantaneous difference between the THMA and its own lag sets the “serpentine” colour that conveys the local direction of pressure. Using slope on the longer window is deliberate: trend-following practice shows that slope filters materially reduce false positives in choppy regimes. Stage two enforces contextual alignment between price and higher-timeframe VWAP bands. For a long, the THMA computed on the higher-timeframe VWAP must sit below the current curve and below the second lower deviation, consistent with either a mean-reverting excess or early re-accumulation; shorts are defined symmetrically. Volume-flow confirmation is then required through either a rising CVD, a supportive z-score, or a detected pivot divergence in the same direction. To discourage over-trading, signals alternate by design and a strict colour gate is applied: a green diamond is never printed on a red line and bullish divergences are not drawn when the serpentine indicates bearish pressure. This visual consistency is not cosmetic; it reduces cognitive dissonance between filters and execution signal and improves reading discipline.
Parameters are organised to make these choices explicit. The main THMA length controls the oscillator’s sensitivity to VWAP, while the “trend” and “long-term” lengths drive the slope filter, with the latter acting as the regime anchor. The higher timeframe used to compute THMA on VWAP is the context-alignment knob and enables true multi-period operation, which is essential in fractal markets such as crypto, FX and equity indices. The VWAP deviation multiplier sets the breadth of the statistical bands; values modestly below one are a deliberate default to keep excess detection sensitive without turning the envelopes into a very wide channel. The ATR window that drives the line’s thickness is not a visual gimmick: thickness adapts to volatility and communicates the movement’s energy at a glance, much like an adaptive envelope.
The CVD package offers full control. A dedicated timeframe lets you decouple order-flow estimation from the chart’s timeframe when a slower, more reliable read of pressure is preferred. The calculation mode can reference Close-to-Close for responsiveness or HL2 for slightly greater robustness to closing noise, depending on the instrument’s microstructure. EMA smoothing governs granularity, the slope lookback sets how many observations are required to validate an inflection, and the z-score length defines the statistical horizon for normalisation—longer windows make the signal steadier, shorter windows make it more tactical. The pivot divergence option with percentage sizing grades relevance rather than merely flagging presence. Measuring both the price change between pivots and the CVD change is intentional: the most actionable divergences exhibit not only directionally opposing shapes but also a quantitative mismatch between price and flow; putting the two numbers side by side clarifies whether price is outrunning flow or flow is reversing ahead of price.
On the attached weekly Bitcoin example, the turquoise serpentine highlights impulsive phases while red denotes retracement or distribution. Δ labels with “P:%” and “C:%” mark points where price sets a new extreme without a matching CVD extreme; the percentage annotation helps distinguish a trivial imbalance from a credible exhaustion. Diamonds appear only when their colour agrees with the serpentine, and their location relative to the higher-TF VWAP bands clarifies when the market stops pushing “with volume” and starts pushing “against volume”—often the operational cue that precedes mean reversion or a consolidation before the next impulse.
Three methodological choices deserve emphasis. The THMA-on-VWAP architecture addresses the classic lag-versus-noise trade-off by combining a low-lag smoother with a volume-anchored base series that reflects institutional execution practice. Z-scoring the CVD is consistent with a statistical reading of flow that reasons in deviations from expected behaviour rather than fixed thresholds, which is particularly relevant on assets with shifting liquidity regimes. Finally, the colour gate plus signal alternation mitigates the well-known clustering of false positives in sideways markets: you do not print green on red or red on green, and you do not fire the same direction twice in a row without an opposite transition, which avoids hammering into the same move.
Practical usage is straightforward. Select your trading timeframe and align context with a higher timeframe in the VWAP-THMA; tune the VWAP deviation multiplier to match the instrument’s excess profile; choose an equal or slower CVD timeframe to extract structural pressure; enable divergence sizing when you want to measure, not only see, the gap between price and flow. Signals can also be drawn on the main chart, so next to candles, you will see both the execution diamonds and Δ labels with their percentage sizes. If you work with higher-timeframe inputs via `request.security`, be aware that those series confirm only at their own close; you can require confirmation for both the higher-TF VWAP and CVD timeframes to eliminate any practical repaint. Integrated alerts tied to THMA+VWAP+CVD validation convert discretionary reading into a monitorable workflow consistent with systematic routines.
Known limitations are stated explicitly. Tick-rule CVD is an approximation and, while standard in the absence of native bid/ask deltas, it may diverge from “true” delta on venues with unusual execution dynamics; normalisation helps but does not eliminate this. Pivot divergences depend on swing definition and require sensitivity calibration to avoid over-signalling on erratic markets. By construction, the oscillator favours trending contexts with statistically motivated pullbacks; during prolonged congestion, signals will naturally thin out, and the standardised CVD becomes the primary discriminator.
In sum, the Ober Trend Oscillator is a dual-channel reader: the THMA-on-VWAP line tells you about regime and movement quality, and the normalised CVD tells you about the pressure sustaining that movement. When the two stories align, continuation probability improves; when they diverge, the Δ annotation quantifies the gap and offers an objective basis for judging whether you are seeing a healthy pause or an impending reversal. The integration of volume-weighted price, simple statistics, and order-flow makes the indicator genuinely multi-period, capable of scaling from intraday to swing without changing its visual language or its decision criteria.
Oberlunar 👁️⭐
CNagda Anchor2EntryCNagda Anchor2Entry Pine Script v6 overlay indicator pulls higher-timeframe (HTF) signal events to define anchor high/low levels and then projects visual entry labels on the lower-timeframe (LTF). It also draws auto-oriented Fibonacci retracement/extension levels for context, but it does not execute orders, stops, or targets—only visual guidance.
Inputs
Key inputs include Lookback Length for HTF scanning and a Signal Timeframe used with request.security to import HTF events onto the active chart.
Entry behavior can be set to “Confirm only” or “Wait candle,” trade side can be restricted to Buy/Sell/Both, and individual strategies (Buy WAIT/S1; Sell REV/S1/S2/S3) can be toggled.
HTF logic
The script defines WAIT/BUY setup and confirmation, SELL reversal on breaking the WAIT BUY low, and several volume/candle-based patterns (Sell S1/S2/S3, Buy S1).
It captures the associated highs/lows at those events with ta.valuewhen and imports them via request.security to form anchors (anc_hi/anc_lo) and “new trigger” booleans that gate label creation on the LTF.
Flip entries
When enabled, “Flip entries” generate contrarian labels based on breaking or confirming HTF anchors: crossing above anc_hi can trigger a flip-to-sell label, and crossing below anc_lo can trigger a flip-to-buy label.
The flip mode supports Immediate (on cross) or Confirm (on sustained break) to control how strict the trigger is.
Fibonacci drawing
User-specified Fib levels are parsed from a string, safely converted to floats, and drawn as dotted horizontal lines only when they fall inside an approximate visible viewport. Orientation (up or down) is decided automatically from pending signal direction and a simple context score (candle bias, trend, and price vs. mid), with efficient redraw/clear guards to avoid clutter.
Dynamic anchors
If HTF anchors are missing or too far from current price (checked with an ATR-based threshold), the script falls back to local swing highs/lows to keep the reference range relevant. This dynamic switch helps Fib levels and labels remain close to current market structure without manual intervention.
Signal labels
Labels are created only on confirmed bars to avoid repainting noise, with one “latest” label kept by deleting the previous one. The script places BUY/SELL labels for WAIT/CONFIRM, direct HTF patterns (Buy S1, Sell S1/S2/S3), and contrarian flip events, offset slightly from highs/lows with clear coloring and configurable sizes.
Visual context
Bars are softly colored (lime tint for bullish, orange tint for bearish) for quick context, and everything renders as an overlay on the price chart. Fib labels include a Δ readout (distance from current close), and line extension length, label sizes, and viewport padding are adjustable.
How to use
Set the Signal Timeframe and Lookback Length to establish which HTF structures and ranges will drive the anchors and entry conditions. Choose entry flow (Wait vs Confirm), enable Flip if contrarian triggers are desired, select the trade side, toggle strategies, and customize Fibonacci levels plus dynamic-anchor fallback for practical on-chart guidance.
Notes
This is a visual decision-support tool; it does not place trades, stops, or targets and should be validated on charts before live use. It is written for Pine Script v6 and relies heavily on request.security for HTF-to-LTF transfer of signals and anchors.
COT Non-Commercial Net PositionsThis indicator displays the net position of Non-Commercial traders (speculators) in futures markets by subtracting short positions from long positions, based on CFTC COT data. It fetches the relevant COT long and short values weekly (or as per the user-selected timeframe) and plots the net positions relative to zero.
Buyer vs Seller Control CompanionBuyer vs Seller Control Companion (Overlay)
Crossover signal overlay based on candlestick wick analysis moving averages
Overview:
This companion indicator displays crossover signals directly on the price chart based on the same buyer vs seller control calculations. It identifies moments when the relationship between buying and selling pressure shifts by analyzing where prices close relative to their intraday ranges.
Calculation Method:
The indicator uses identical calculations to the main Buyer vs Seller Control indicator:
Visual Components:
Lime Triangle Up: Appears below price bars when buyer control SMA crosses above seller control SMA
Fuchsia Triangle Down: Appears above price bars when seller control SMA crosses above buyer control SMA
Signal Logic:
Crossover events are detected when one moving average crosses above or below the other. These crossovers indicate potential shifts in the balance between buying and selling pressure as measured by candlestick closing positions relative to their wicks.
Arrow Placement:
Upward Triangle: Positioned below the bar when buyer control moving average exceeds seller control moving average
Downward Triangle: Positioned above the bar when seller control moving average exceeds buyer control moving average
Size: Small triangular shapes to avoid cluttering the price chart
Timing: Arrows appear only on bars where actual crossovers occur
Settings:
Moving Average Period: Adjustable from 1-200 periods (default: 20)
Technical Notes:
This overlay version works on any timeframe
Arrows only appear when crossovers actually occur, not on every bar
The indicator uses the same mathematical foundation as the main oscillator version
Signal frequency depends on the chosen moving average period
Shorter periods generate more frequent crossovers, longer periods generate fewer
Relationship to Main Indicator:
This companion overlay displays the exact crossover points that can be observed in the main Buyer vs Seller Control indicator. It provides the same information but presents it directly on the price chart for convenient reference without switching between indicator panes.
This overlay serves as a visual reference tool for crossover events detected in the underlying buyer vs seller control analysis.
Buyer vs Seller ControlBuyer vs Seller Control Analysis
Technical indicator measuring market participation through candlestick wick analysis
Overview:
This indicator analyzes the relationship between closing prices and candlestick wicks to measure buying and selling pressure. It calculates two key metrics and displays their moving averages to help identify market sentiment shifts.
Calculation Method:
The indicator measures two distinct values for each candle:
Buyer Control Value: Distance from candle low to closing price (close - low)
Seller Control Value: Distance from candle high to closing price (high - close)
Both values are then smoothed using a Simple Moving Average (default period: 20) to reduce noise and show clearer trends.
Visual Components:
Lime Line: 20-period SMA of buyer control values
Fuchsia Line: 20-period SMA of seller control values
Area Fill: Colored region between the two lines
Histogram: Difference between buyer and seller control SMAs
Zero Reference Line: Horizontal line at zero level
Information Table: Current numerical values (optional display)
Interpretation:
When the lime line (buyer control) is above the fuchsia line (seller control), it indicates that recent candles have been closing closer to their highs than to their lows on average.
When the fuchsia line is above the lime line, recent candles have been closing closer to their lows than to their highs on average.
Fill Color Logic:
Lime (green) fill appears when buyer control SMA > seller control SMA
Fuchsia (red) fill appears when seller control SMA > buyer control SMA
Fill transparency adjusts based on the magnitude of difference between the two SMAs
Stronger differences result in more opaque fills
Settings:
Moving Average Period: Adjustable from 1-200 periods (default: 20)
Show Info Table: Toggle to display/hide the numerical values table
Technical Notes:
The indicator works on any timeframe
Values are displayed in the same units as the underlying asset's price
The histogram shows the mathematical difference between the two SMA lines
Transparency calculation uses a 50-period lookback for dynamic scaling
This indicator provides a quantitative approach to analyzing candlestick patterns by focusing on where prices close relative to their intraday ranges.
Initial Balance Breakout Signals [LuxAlgo]The Initial Balance Breakout Signals help traders identify breakouts of the Initial Balance (IB) range.
The indicator includes automatic detection of IB or can use custom sessions, highlights top and bottom IB extensions, custom Fibonacci levels, and goes further with an IB forecast with two different modes.
🔶 USAGE
The initial balance is the price range made within the first hour of the trading session. It is an intraday concept based on the idea that high volume and volatility enter the market through institutional trading at the start of the session, setting the tone for the rest of the day.
The initial balance is useful for gauging market sentiment, or, in other words, the relationship between buyers and sellers.
Bullish sentiment: Price trades above the IB range.
Mixed sentiment: Price trades within the IB range.
Bearish sentiment: Price trades below the IB range.
The initial balance high and low are important levels that many traders use to gauge sentiment. There are two main ideas behind trading around the IB range.
IB Extreme Breakout: When the price breaks and holds the IB high or low, there is a high probability that the price will continue in that direction.
IB Extreme Rejection: When the price tries to break those levels but fails, there is a high probability that it will reach the opposite IB extreme.
This indicator is a complete Initial Balance toolset with custom sessions, breakout signals, IB extensions, Fibonacci retracements, and an IB forecast. All of these features will be explained in the following sections.
🔹 Custom Sessions and Signals
By default, sessions for Initial Balance and breakout signals are in Auto mode. This means that Initial Balance takes the first hour of the trading session and shows breakout signals for the rest of the session.
With this option, traders can use the tool for open range trading, making it highly versatile. The concept behind open range (OR) is the same as that of initial balance (IB), but in OR, the range is determined by the first minute, three or five minutes, or up to the first 30 minutes of the trading session.
As shown in the image above, the top chart uses the Auto feature for the IB and Breakouts sessions. The bottom chart has the Auto feature disabled to use custom sessions for both parameters. In this case, the first three minutes of the trading session are used, turning the tool into an Open Range trading indicator.
This chart shows another example of using custom sessions to display overnight NASDAQ futures sessions.
The left chart shows a custom session from the Tokyo open to the London open, and the right chart shows a custom session from the London open to the New York open.
The chart shows both the Asian and European sessions, their top and bottom extremes, and the breakout signals from those extremes.
🔹 Initial Balance Extensions
Traders can easily extend both extremes of the Initial Balance to display their preferred targets for breakouts. Enable or disable any of them and set the IB percentage to use for the extension.
As the chart shows, the percentage selected on the settings panel directly affects the displayed levels.
Setting 25 means the tool will use a quarter of the detected initial balance range for extensions beyond the IB extremes. Setting 100 means the full IB range will be used.
Traders can use these extensions as targets for breakout signals.
🔹 Fibonacci Levels
Traders can display default or custom Fibonacci levels on the IB range to trade retracements and assess the strength of market movements. Each level can be enabled or disabled and customized by level, color, and line style.
As we can see on the chart, after the IB was completed, prices were unable to fall below the 0.236 Fibonacci level. This indicates significant bullish pressure, so it is expected that prices will rise.
Traders can use these levels as guidelines to assess the strength of the side trying to penetrate the IB. In this case, the sellers were unable to move the market beyond the first level.
🔹 Initial Balance Forecast
The tool features two different forecasting methods for the current IB. By default, it takes the average of the last ten values and applies a multiplier of one.
IB Against Previous Open: averages the difference between IB extremes and the open of the previous session.
Filter by current day of the week: averages the difference between IB extremes and the open of the current session for the same day of the week.
This feature allows traders to see the difference between the current IB and the average of the last IBs. It makes it very easy to interpret: if the current IB is higher than the average, buyers are in control; if it is lower than the average, sellers are in control.
For example, on the left side of the chart, we can see that the last day was very bullish because the IB was completely above the forecasted value. This is the IB mean of the last ten trading days.
On the right, we can see that on Monday, September 15, the IB traded slightly higher but within the forecasted value of the IB mean of the last ten Mondays. In this case, it is within expectations.
🔶 SETTINGS
Display Last X IBs: Select how many IBs to display.
Initial Balance: Choose a custom session or enable the Auto feature.
Breakouts: Enable or disable breakouts. Choose custom session or enable the Auto feature.
🔹 Extensions
Top Extension: Enable or disable the top extension and choose the percentage of IB to use.
Bottom extension: Enable or disable the bottom extension and choose the percentage of IB to use.
🔹 Fibonacci Levels
Display Fibonacci: Enable or disable Fibonacci levels.
Reverse: Reverse Fibonacci levels.
Levels, Colors & Style
Display Labels: Enable or disable labels and choose text size.
🔹 Forecast
Display Forecast: Select the forecast method.
- IB Against Previous Open: Calculates the average difference between the IB high and low and the previous day's IB open price.
- Filter by Current Day of Week: Calculates the average difference between the IB high and low and the IB open price for the same day of the week.
Forecast Memory: The number of data points used to calculate the average.
Forecast Multiplier: This multiplier will be applied to the average. Bigger numbers will result in wider predicted ranges.
Forecast Colors: Choose from a variety of colors.
Forecast Style: Choose a line style.
🔹 Style
Initial Balance Colors
Extension Transparency: Choose the extension's transparency. 0 is solid, and 100 is fully transparent.