Göstergeler ve stratejiler
PRO Investing - Apex EnginePRO Investing - Apex Engine
1. Core Concept: Why Does This Indicator Exist?
Traditional momentum oscillators like RSI or Stochastic use a fixed "lookback period" (e.g., 14). This creates a fundamental problem: a 14-period setting that works well in a fast, trending market will generate constant false signals in a slow, choppy market, and vice-versa. The market's character is dynamic, but most tools are static.
The Apex Engine was built to solve this problem. Its primary innovation is a self-optimizing core that continuously adapts to changing market conditions. Instead of relying on one fixed setting, it actively tests three different momentum profiles (Fast, Mid, and Slow) in real-time and selects the one that is most synchronized with the current price action.
This is not just a random combination of indicators; it's a deliberate synthesis designed to create a more robust momentum tool. It combines:
Volatility analysis (ATR) to generate adaptive lookback periods.
Momentum measurement (ROC) to gauge the speed of price changes.
Statistical analysis (Correlation) to validate which momentum measurement is most effective right now.
Classic trend filters (Moving Average, ADX) to ensure signals are only taken in favorable market conditions.
The result is an oscillator that aims to be more responsive in volatile trends and more stable in quiet periods, providing a more intelligent and adaptive signal.
2. How It Works: The Engine's Three-Stage Process
To be transparent, it's important to understand the step-by-step logic the indicator follows on every bar. It's a process of Adapt -> Validate -> Signal.
Stage 1: Adapt (Dynamic Length Calculation)
The engine first measures market volatility using the Average True Range (ATR) relative to its own long-term average. This creates a volatility_factor. In high-volatility environments, this factor causes the base calculation lengths to shorten. In low-volatility, they lengthen. This produces three potential Rate of Change (ROC) lengths: dynamic_fast_len, dynamic_mid_len, and dynamic_slow_len.
Stage 2: Validate (Self-Optimizing Mode Selection)
This is the core of the engine. It calculates the ROC for all three dynamic lengths. To determine which is best, it uses the ta.correlation() function to measure how well each ROC's movement has correlated with the actual bar-to-bar price changes over the "Optimization Lookback" period. The ROC length with the highest correlation score is chosen as the most effective profile for the current moment. This "active" mode is reflected in the oscillator's color and the dashboard.
Stage 3: Signal (Normalized Velocity Oscillator)
The winning ROC series is then normalized into a consistent oscillator (the Velocity line) that ranges from -100 (extreme oversold) to +100 (extreme overbought). This ensures signals are comparable across any asset or timeframe. Signals are only generated when this Velocity line crosses its signal line and the trend filters (explained below) give a green light.
3. How to Use the Indicator: A Practical Guide
Reading the Visuals:
Velocity Line (Blue/Yellow/Pink): The main oscillator line. Its color indicates which mode is active (Fast, Mid, or Slow).
Signal Line (White): A moving average of the Velocity line. Crossovers generate potential signals.
Buy/Sell Triangles (▲ / ▼): These are your primary entry signals. They are intentionally strict and only appear when momentum, trend, and price action align.
Background Color (Green/Red/Gray): This is your trend context.
Green: Bullish trend confirmed (e.g., price above a rising 200 EMA and ADX > 20). Only Buy signals (▲) can appear.
Red: Bearish trend confirmed. Only Sell signals (▼) can appear.
Gray: No clear trend. The market is likely choppy or consolidating. No signals will appear; it is best to stay out.
Trading Strategy Example:
Wait for a colored background. A green or red background indicates the market is in a tradable trend.
Look for a signal. For a green background, wait for a lime Buy triangle (▲) to appear.
Confirm the trade. Before entering, confirm the signal aligns with your own analysis (e.g., support/resistance levels, chart patterns).
Manage the trade. Set a stop-loss according to your risk management rules. An exit can be considered on a fixed target, a trailing stop, or when an opposing signal appears.
4. Settings and Customization
This script is open-source, and its settings are transparent. You are encouraged to understand them.
Synaptic Engine Group:
Volatility Period: The master control for the adaptive engine. Higher values are slower and more stable.
Optimization Lookback: How many bars to use for the correlation check.
Switch Sensitivity: A buffer to prevent frantic switching between modes.
Advanced Configuration & Filters Group:
Price Source: The data source for momentum calculation (default close).
Trend Filter MA Type & Length: Define your long-term trend.
Filter by MA Slope: A key feature. If ON, allows for "buy the dip" entries below a rising MA. If OFF, it's stricter, requiring price to be above the MA.
ADX Length & Threshold: Filters out non-trending, choppy markets. Signals will not fire if the ADX is below this threshold.
5. Important Disclaimer
This indicator is a decision-support tool for discretionary traders, not an automated trading system or financial advice. Past performance is not indicative of future results. All trading involves substantial risk. You should always use proper risk management, including setting stop-losses, and never risk more than you are prepared to lose. The signals generated by this script should be used as one component of a broader trading plan.
signBTC Day&Session BoxesThis indicator visually segments the trading week on your chart, drawing each day from 17:00 to 17:00 New York time (corresponding to the typical forex daily rollover). For enhanced session structure, every day is further divided into three major trading sessions:
Asian Session
London Session
New York Session
Additionally, the indicator automatically marks the opening time of each new day at 17:00 (New York time) directly on the chart, helping traders quickly identify daily cycles and session transitions.
Customization Features
Adjustable Session Times: Users can modify the start and end times for each session (Asian, London, New York) to match personal or institutional trading hours.
Flexible Day Boundaries: The time marking the start and end of each day (default: 17:00 NY) can also be adjusted according to preference or asset specifics.
Opening Time Marker: The feature for drawing the daily opening time can be enabled or disabled in the settings.
This tool is ideal for traders needing clear visual cues for session boundaries and daily market resets, especially those operating across multiple time zones or managing strategies dependent on session-specific behavior. All settings are conveniently accessible and fully customizable within the indicator’s parameter panel.
QT Separator by BailaSimple and Clean QT indicator.
Helps to spot SSMT
Based on: Daye Quarterly Theory by toodegrees
These Quarters represent:
A - Accumulation (required for a cycle to occur)
M - Manipulation
D - Distribution
X - Reversal/Continuation
Vasyl Ivanov | Volatility by Extremums"Volatility by Extremums" is an original technical indicator designed to measure market volatility based on the analysis of price extreme points. Unlike traditional volatility indicators that use standard statistical methods, this indicator calculates volatility as a percentage price change between local maximums and minimums, providing a more accurate understanding of actual price fluctuations in the market.
Unique Methodology
The indicator uses an innovative approach to volatility calculation:
Extremum Detection: The algorithm automatically identifies local maximums and minimums based on configurable parameters, including lookback period and minimum distance between extremums, measured in ATR (Average True Range) units.
Relative Volatility Calculation: For each pair of adjacent extremums, volatility is calculated using the formula: (|Max - Min| / Max) × 100%, where volatility is expressed as a percentage of the maximum value in the pair.
Result Aggregation: The indicator computes two key metrics:
Average volatility - arithmetic mean of all calculated volatility values
Maximum volatility - highest volatility value between extremums during the analyzed period
Technical Parameters
Main Settings:
Lookback (1000): Number of bars for historical analysis
Extremums Bars Lookback (10): Period for extremum search
Extremums Minimal Distance (2 ATR): Minimum distance between extremums for noise filtering
ATR Period (30): Average True Range calculation period
ATR Average Period (20): ATR averaging period
Visualization:
Color-coded extremums: Bullish extremums marked in green, bearish in red
Information table: Displays current average and maximum volatility values in the top-right corner of the chart
Dynamic markers: Automatic placement of ▼ and ▲ symbols on corresponding extremums
Practical Applications
Market Condition Analysis
The indicator helps traders identify:
High volatility periods: When average volatility exceeds historical norms, indicating potential for large price movements
Consolidation phases: Low volatility values signal periods of energy accumulation before potential breakouts
Extreme movements: Maximum volatility shows the largest price swings, which may indicate important market events
Risk Management
Volatility data enables:
Position size adaptation based on current market volatility
Dynamic stop-loss setting corresponding to market activity levels
Optimal entry point selection during periods of reduced volatility
Trading Strategies
The indicator is effective for:
Breakout strategies: Low volatility often precedes strong directional movements
Counter-trend trading: Extremely high volatility values may signal potential reversals
Scalping: Understanding current volatility level helps choose appropriate instruments and timeframes
Advantages Over Traditional Indicators
Unlike standard volatility measures such as standard deviation or ATR, this indicator:
Focuses on actual extremums: Analyzes real price reversal points rather than abstract statistical indicators
Adapts to market conditions: Uses ATR to determine significant extremums, filtering market noise
Provides contextual information: Shows not only current volatility but also historical maximum, helping assess the relative significance of current movements
Usage Recommendations
Parameter Optimization:
For intraday trading: Reduce Lookback period to 200-500 bars
For position trading: Increase minimum distance between extremums to 3-4 ATR
For high-volatility assets: Set ATR period to shorter periods (14-21)
Combining with Other Indicators:
Best results are achieved when used together with:
Trend indicators to determine overall market direction
Oscillators for precise entry and exit timing
Volume indicators to confirm movement strength
Technical Limitations
Users should consider:
The indicator is based on historical data and does not guarantee future results
Requires sufficient historical data for correct operation (minimum 100 bars)
Most effective on liquid markets with clearly defined extremums
"Volatility by Extremums" represents an innovative approach to market volatility analysis, providing traders with a unique tool for understanding price dynamics and making informed trading decisions based on actual market extremums.
Liquidity Factor Spectrum [Modified by Markking77]Liquidity Spectrum Visualizer — Modified Version
This script “Liquidity Spectrum Visualizer ” is an open-source tool originally created by BigBeluga under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.
Modified & Refactored by: Markking77
This version has been factorized and slightly modified to ensure unique functionality and better performance while respecting the original license terms.
Key Features:
Liquidity levels with adaptive calculation.
Volume Profile histogram for easy demand/supply zones.
Smart Volume Bubbles for quick visual insight.
Clear color coding for uptrend/downtrend zones.
Factorized code for improved readability.
License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Original Author: BigBeluga
Modified & Published By: Markking77
This script is provided for educational purposes only and can be freely reused or modified under the same license, with proper credit to the original author and modifier.
Combined Entry Signal - SMI + MACD + EMA + Volume//@version=5
indicator("Combined Entry Signal - SMI + MACD + EMA + Volume", overlay=true)
// ==== INPUTS ====
smiK = input.int(5, "SMI K", minval=1)
smiD = input.int(3, "SMI D", minval=1)
macdFast = input.int(12, "MACD Fast")
macdSlow = input.int(26, "MACD Slow")
macdSignal = input.int(9, "MACD Signal")
emaShort = input.int(20, "EMA Short")
emaMid = input.int(50, "EMA Mid")
emaLong = input.int(100, "EMA Long")
volMult = input.float(1.2, "Volume Multiplier for Confirm")
// ==== SMI ====
smiSource = close
smi = ta.stoch(close, high, low, smiK)
smiSignal = ta.sma(smi, smiD)
// ==== MACD ====
= ta.macd(close, macdFast, macdSlow, macdSignal)
macdCrossUp = ta.crossover(macdLine, signalLine)
macdCrossDown = ta.crossunder(macdLine, signalLine)
// ==== EMA Trend ====
emaS = ta.ema(close, emaShort)
emaM = ta.ema(close, emaMid)
emaL = ta.ema(close, emaLong)
trendUp = close > emaS and emaS > emaM and emaM > emaL
trendDown = close < emaS and emaS < emaM and emaM < emaL
// ==== Volume confirmation ====
avgVol = ta.sma(volume, 20)
volConfirm = volume > avgVol * volMult
// ==== BUY/SELL CONDITIONS ====
smiBuy = smi > smiSignal and smi < 20
smiSell = smi < smiSignal and smi > 80
buySignal = smiBuy and macdCrossUp and trendUp and volConfirm
sellSignal = smiSell and macdCrossDown and trendDown and volConfirm
// ==== PLOTS ====
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
plot(emaS, title="EMA 20", color=color.orange)
plot(emaM, title="EMA 50", color=color.green)
plot(emaL, title="EMA 100", color=color.blue)
Highs and Lows🔍 Highs and Lows – Liquidity Zone Tracker
This script automatically detects and highlights key swing highs and lows on your chart using a pivot-based algorithm. These zones are dynamically plotted as visual rectangles that help identify unmitigated liquidity pools commonly used in Smart Money and institutional trading models.
Each level is marked as “fresh” when first plotted, meaning it hasn't been interacted with by price. When price touches a zone (via wick or full body), the script automatically de-emphasizes that zone to help you focus on actionable, untested levels.
📌 Key Features:
Pivot-Based Detection: Highs and lows are derived from confirmed swing points using a user-defined lookback period (default: 25 bars).
Freshness Logic:
Fresh zones are visually emphasized.
Touched zones fade automatically once price interacts, reducing chart clutter and drawing focus to relevant liquidity.
Customizable Visuals:
Individual styling for high and low zones (border color, fill color, style, width).
Adjustable max number of zones shown (default: 4 per side).
Touch & Break Detection:
Uses both wick interaction and full-body candle cross to determine freshness.
Real-Time Alerts:
Optional alerts for when price touches fresh high or low levels, ideal for breakout, mitigation, or reaction-based strategies.
📈 Practical Use Cases:
Identify untapped liquidity pools for entries/exits.
Visualize institutional interest areas in line with ICT/Smart Money models.
Use as entry confirmation zones in confluence with FVGs, BOS/CHOCH, and displacement tools.
Highlight stop-hunt or inducement zones before market expansion.
⚙️ How It Works:
High/low levels are detected using ta.pivothigh and ta.pivotlow.
Detected zones are boxed from the swing candle’s high/low to its close.
Price interaction logic:
Wick touch sets a box to "unfresh".
Full-body cross can reset a box as “fresh”.
Arrays are used to manage both box objects and their freshness states.
Max zone limits keep the chart clean and focused.
🛑 This script is closed-source to protect unique zone-tracking and visual management logic, but all key functionality and use cases are fully described above.
Gabriel's Dynamic Sentiment RSI📊 Dynamic Sentiment RSI with Velocity, Acceleration & Divergence Detection
Created by GabrielAmadeusLau
This advanced Pine Script indicator fuses multiple layers of market insight into a unified momentum and sentiment tool. It is designed to extract nuanced sentiment signals from price action using a hybridized RSI model enhanced with stochastic dynamics, volatility weighting, and divergence tracking. It adapts to a wide range of asset classes including equities, crypto, gold, and forex.
🔍 Core Components
✅ 1. Dynamic Sentiment RSI
A normalized, stochastic-based RSI that adjusts its sensitivity using the Sentiment Factor.
Smoothed using a Jurik Moving Average for precision noise filtering.
Weighted using volume, volatility (VIX-like), HL extremes, and trend-based adaptive weighting, giving it a powerful multi-dimensional response.
✅ 2. Hann-Window RSI Calculation
Leverages a Hann Window and Levy Flight transformation to amplify cyclical behavior in RSI inputs.
Applies power-based weighting to directional movement, ideal for assets with cyclic or fractal-like structure.
✅ 3. Velocity & Acceleration Engine
Measures the rate of RSI change over a customizable period, and then the rate of that rate (acceleration).
Both are plotted with adaptive coloring to visually represent momentum shifts.
This dynamic structure aids in anticipating breakout strength or exhaustion.
✅ 4. Sentiment Heat Background
Background shading reflects bullish (teal) or bearish (silver) sentiment using smoothed stochastic RSI outputs.
Creates an intuitive market "mood" indicator for quick-glance visual analysis.
🔁 Smoothing & Weighting Customizations
You can toggle between different weighting modes:
Volume Weighted: Uses volume or ATR if unavailable.
VIX Weighted: Incorporates a volatility-based weight via a WVF-like formula.
HL Weighted: High-Low range smoothed.
Linear Weighted: Applies linear regression to the signal.
Trend Adaptive: Squares rolling maximums/minimums for dynamic strength adaptation.
🔎 Divergence Detection System
Supports Regular & Hidden Divergence using any of the following pivots:
Raw RSI
Smoothed K% RSI
Sentiment RSI
Velocity
Acceleration
Allows divergence tracking on custom timeframes and Heikin Ashi data.
Custom line styles, colors, and optional “last signal only” visibility.
Alerts are provided for all four divergence types.
📌 Built-in Alerts
✅ Bullish/Bearish Regular Divergence
✅ Bullish/Bearish Hidden Divergence
✅ General Divergence Summary Alerts
⚙️ Highly Configurable Settings
Sentiment Factor scaling (default ~2.2)
Levy exponent (ideal between 0.4 to 3.2 depending on asset class)
Velocity & Acceleration scaling inputs
Pivot lookback controls
Toggle smoothing methods and weighting logic
🧠 Ideal Use Cases
Swing and Trend Trading: The dynamic structure identifies both trend continuations and reversals with precision.
Divergence Confirmation: Confirm entries or exits using regular/hidden divergence alongside acceleration/velocity overlays.
Adaptive Strategy Building: Integrate this tool as a sentiment engine for algorithmic trading strategies.
🔬 Recommended Settings by Asset Class
Asset Type Levy Sentiment Factor
Crypto 0.6–1.2 2.0–2.5
Gold 0.4–1.0 2.0–2.2
Stocks 0.9–1.2 2.2–2.5
Forex 2.5–3.2 1.8–2.3
*A sentiment Factor of 9.5 can tell the larger trend apart on Daily and up.*
🧩 Technical Notes
Uses Jurik MA (Power 2, Phase 50) for minimal lag smoothing.
Employs Chebyshev filters (pre-Stochastic) for advanced sentiment smoothing.
Weighted RSI is normalized from -100 to 100, with color-coded velocity and acceleration histograms.
The Visualized Trader (Fractal Timeframe)The **The Visualized Trader (Fractal Timeframe)** indicator for TradingView is a tool designed to help traders identify strong bullish or bearish trends by analyzing multiple technical indicators across two timeframes: the current chart timeframe and a user-selected higher timeframe. It visually displays trend alignment through arrows on the chart and a condition table in the top-right corner, making it easy to see when conditions align for potential trade opportunities.
### Key Features
1. **Multi-Indicator Analysis**: Combines five technical conditions to confirm trend direction:
- **Trend**: Based on the slope of the 50-period Simple Moving Average (SMA). Upward slope indicates bullish, downward indicates bearish.
- **Stochastic (Stoch)**: Uses Stochastic Oscillator (5, 3, 2) to measure momentum. Rising values suggest bullish momentum, falling values suggest bearish.
- **Momentum (Mom)**: Derived from the MACD fast line (5, 20, 30). Rising MACD line indicates bullish momentum, falling indicates bearish.
- **Dad**: Uses the MACD signal line. Rising signal line is bullish, falling is bearish.
- **Price Change (PC)**: Compares the current close to the previous close. Higher close is bullish, lower is bearish.
2. **Dual Timeframe Comparison**:
- Calculates the same five conditions on both the current timeframe and a user-selected higher timeframe (e.g., daily).
- Helps traders see if the trend on the higher timeframe aligns with the current chart, providing context for stronger trade decisions.
3. **Visual Signals**:
- **Arrows on Chart**:
- **Current Timeframe**: Blue upward arrows below bars for bullish alignment, red downward arrows above bars for bearish alignment.
- **Higher Timeframe**: Green upward triangles below bars for bullish alignment, orange downward triangles above bars for bearish alignment.
- Arrows appear only when all five conditions align (all bullish or all bearish), indicating strong trend potential.
4. **Condition Table**:
- Displays a table in the top-right corner with two rows:
- **Top Row**: Current timeframe conditions (Trend, Stoch, Mom, Dad, PC).
- **Bottom Row**: Higher timeframe conditions (labeled with "HTF").
- Each cell is color-coded: green for bullish, red for bearish.
- The table can be toggled on/off via input settings.
5. **User Input**:
- **Show Condition Boxes**: Toggle the table display (default: on).
- **Comparison Timeframe**: Choose the higher timeframe (e.g., "D" for daily, default setting).
### How It Works
- The indicator evaluates the five conditions on both timeframes.
- When all conditions are bullish (or bearish) on a given timeframe, it plots an arrow/triangle to signal a strong trend.
- The condition table provides a quick visual summary, allowing traders to compare the current and higher timeframe trends at a glance.
### Use Case
- **Purpose**: Helps traders confirm strong trend entries by ensuring multiple indicators align across two timeframes.
- **Example**: If you're trading on a 1-hour chart and see blue arrows with all green cells in the current timeframe row, plus green cells in the higher timeframe (e.g., daily) row, it suggests a strong bullish trend supported by both timeframes.
- **Benefit**: Reduces noise by focusing on aligned signals, helping traders avoid weak or conflicting setups.
### Settings
- Access the indicator settings in TradingView to:
- Enable/disable the condition table.
- Select a higher timeframe (e.g., 4H, D, W) for comparison.
### Notes
- Best used in trending markets; may produce fewer signals in choppy conditions.
- Combine with other analysis (e.g., support/resistance) for better decision-making.
- The higher timeframe signals (triangles) provide context, so prioritize trades where both timeframes align.
This indicator simplifies complex trend analysis into clear visual cues, making it ideal for traders seeking confirmation of strong momentum moves.
Elliott Wave Probability SystemAdvanced Elliott Wave analysis system with AI-powered probability calculations for price targets. Combines multiple technical indicators to generate high-probability trading signals with specific price objectives.
🎯 KEY FEATURES:
- Automatic Elliott Wave pattern detection
- Dynamic Fibonacci retracement & extension levels
- Probability-weighted price targets (up to 10 levels)
- Multi-indicator confluence scoring system
- Real-time probability calculations
- Visual wave projections with success rates
- Comprehensive status dashboard
📊 TECHNICAL INDICATORS INTEGRATED:
- Elliott Wave pattern recognition
- Fibonacci levels (0-261.8%)
- RSI momentum analysis
- MACD trend confirmation
- Stochastic oscillator
- Volume spike detection
- Weighted scoring algorithm
💡 PROBABILITY ENGINE:
- Calculates target probabilities based on:
- Current wave position
- Technical indicator alignment
- Volume confirmation
- Market structure
- Updates in real-time
- Adjusts for market conditions
🎨 VISUAL ELEMENTS:
- Wave connection lines
- Fibonacci grid with prices
- Probability table with 5-10 targets
- Color-coded signal strength
- Status dashboard
- Target projection lines
🔧 CUSTOMIZATION:
- Adjustable wave detection period
- Number of price targets (3-10)
- Toggle visual elements
- Custom color schemes
- Flexible indicator parameters
📈 TRADING METHODOLOGY:
- Entry: High probability targets + confluence
- Exit: Target completion or signal reversal
- Risk: Use Fibonacci levels for stops
- Position sizing: Based on probability %
Perfect for traders seeking objective, probability-based price targets using Elliott Wave theory combined with technical confirmation.
⚡ ALERTS INCLUDED:
- Strong buy/sell signals
- Target approach notifications
- Wave completion alerts
Correlating AI Agent coded by ITECS .
SOL RSI Divergence DetectorAdvanced RSI indicator with automatic divergence detection for cryptocurrency trading. Identifies both regular and hidden divergences with visual markers directly on the RSI oscillator.
🎯 KEY FEATURES:
- Automatic detection of bullish and bearish divergences
- Visual divergence lines connecting pivot points
- Clear labels marking divergence types
- Hidden divergence detection for trend continuation
- Customizable overbought/oversold levels
- Real-time status panel with trading signals
- Highlighted divergence zones
- Multiple alert conditions
📊 DIVERGENCE TYPES DETECTED:
- Regular Bullish: Price LL, RSI HL (reversal up)
- Regular Bearish: Price HH, RSI LH (reversal down)
- Hidden Bullish: Price HL, RSI LL (trend continuation up)
- Hidden Bearish: Price LH, RSI HH (trend continuation down)
💡 TRADING SIGNALS:
- Strong Buy: Bullish divergence + RSI oversold
- Strong Sell: Bearish divergence + RSI overbought
- Trend continuation signals with hidden divergences
🔧 CUSTOMIZATION:
- Adjustable RSI length and levels
- Toggle divergence types on/off
- Customize colors and visual elements
- Flexible lookback periods
Perfect for crypto traders seeking reliable reversal and continuation signals based on momentum divergences.
Correlating AI Agent coded by ITECS .
Order Block + Liquidity Sniper by TradingNexus🧠 Order Block + Liquidity Sniper by TradingNexus
📌 How the Indicator Works – Explanation of Visual Elements
🔺 Triangles – Liquidity Sniper Signals
Green triangle below candle (▲): This is a Bullish Liquidity Sniper Signal. It indicates that price swept liquidity below a Swing Low, triggering stop-losses, and then returned back above a bullish Order Block zone. This suggests potential institutional buying interest and could mark a strong buy opportunity.
Red triangle above candle (▼): This is a Bearish Liquidity Sniper Signal. It shows that price swept above a Swing High to collect liquidity and then returned below a bearish Order Block zone. This implies possible institutional selling after a liquidity hunt and may signal a short entry.
🟢 Circles – Order Block Zones
Green circle (●): Represents a Bullish Order Block area – typically the last bearish candle before a strong bullish move. Price returning to this zone may react due to renewed institutional buying.
Red circle (●): Marks a Bearish Order Block – the last bullish candle before a strong bearish move. These zones may act as resistance when price revisits.
✖️ Crosses – Liquidity Zones
Purple cross (+): Identifies a Swing High liquidity level – a short-term high where many stop-loss orders are likely clustered.
Orange cross (+): Marks a Swing Low liquidity zone – a key area where stop orders from long positions may reside.
This indicator seeks precise institutional-style entries by detecting when price:
Sweeps liquidity at a recent swing high or low;
Then reacts from a valid Order Block zone.
The triangle markers highlight potential Sniper entries, while circles and crosses help visualize the key zones that underpin these moves.
Use this tool to improve timing, context, and confidence in your trades – especially when combining with SMC or price action frameworks.
Built by TradingNexus – designed for price action traders who use Smart Money Concepts (SMC).
Trend Impulse Channels [With Simple MA]Trend Impulse Channels + MA | Premium Modified Version
This is a **premium modified version** of the original **Trend Impulse Channels** script by **Zeiierman**, enhanced and republished by **Markking77**.
This version includes a clean **Moving Average (MA)** overlay to add extra trend confirmation.
*What’s New:**
- MA overlay for better trend visibility.
- All original trend impulse logic retained.
- Clean, customizable signals for retests & trend steps.
- Fully adjustable style for premium look.
Original Script Info:**
- **Original Author:** © Zeiierman
- **Modified & Published by:** © Markking77
- **License:** (creativecommons.org)
**Disclaimer:**
This script is **for educational purposes only** and not financial advice. Always do your own research and trade responsibly.
God's Plan 7.2 - FVGP EnhancedThis is a buy/sell indicator containing the code for the Top Bottom indicator, VWAP and 9 EMA.
Buy conditions are Top Bottom buy and 9 EMA crossing above the VWAP.
Sell conditions are Top Bottom sell and 9 EMA crossing below the VWAP.
C signals indicate continuations.
Zero TOD constraints.
This is a simple strategy to help train the eye to recognize trend shifts and potential entries.
It is important for the users of this strategy to use their own logic when determining stop loss and targets.
Thank you to all of the coders and creators that have provided us with inspiration for this strategy. Happy trading!
Kairos BarakahTrade with precision during high-probability windows using this advanced Pine Script indicator, designed specifically for Indian Standard Time (IST). The tool identifies key reversal opportunities within a user-defined trading session, combining time-based reference levels, sequence-validated signals, and multi-factor win probability analysis for confident decision-making.
Key Features
1. Time-Based Reference Levels
Automatically sets high/low reference levels at a customizable start time (default: 19:00 IST).
Active trading window with adjustable duration (default: 135 minutes).
Clear visual reference lines for easy tracking.
2. Intelligent Signal Generation
Initial Signals:
Buy (B): Triggered when price closes above the reference high.
Sell (S): Triggered when price closes below the reference low.
Reversal Signals (R):
Valid only after an initial signal, ensuring proper sequence.
Buy Reversal: Price closes above reference high (after a Sell signal).
Sell Reversal: Price closes below reference low (after a Buy signal).
3. Multi-Dimensional Win Probability
Body Strength: Measures candle conviction (body size / total range).
Volume Confirmation: Compares current volume to 20-period average.
Trend Alignment: Uses EMA crosses (9/21) and RSI (14) for momentum.
Composite Score: Weighted blend of all factors, color-coded for quick interpretation:
🟢 >70%: High-confidence signal.
🟠 40-69%: Moderate confidence.
🔴 <40%: Weak signal.
4. Professional Visualization
Clean labels (B/S/R) at signal points.
Real-time reference table showing levels, active signal, and probabilities.
Customizable alerts for all signal types.
Why Use This Indicator?
IST-Optimized: Tailored for Indian market hours.
Rules-Based Reversals: Avoids false signals with strict sequence checks.
Data-Driven Confidence: Win probability metrics reduce guesswork.
Flexible Setup: Adjust time windows and parameters to fit your strategy.
xGhozt Stoch RSI StrategyA Stochastic RSI-based strategy that enters long or short when the K line exits extreme zones. Includes optional ATR-based stop loss and take profit levels. Supports both trend-following and reversal logic. Fully configurable.
