TradingLatino Strategy [BlackVamp]Script de estrategia similar a la de Jaime Merino de Tradinglatino
Indicators and strategies
Nehan Trend AssistNehan Trend Assist is a trend-following and decision-support indicator designed to help traders visually identify market bias and potential entry zones without providing direct trading advice.
This indicator combines the following concepts into a single framework:
• ATR-based trailing logic to visualize directional pressure and trend transitions
• EMA trend filtering (EMA 20 / EMA 50) to identify whether the market is in a bullish or bearish environment
• Optional Heikin Ashi source to reduce noise and smooth price behavior during volatile conditions
Core Concept
The purpose of this script is not to generate standalone buy/sell signals.
Instead, it serves as a context and confirmation tool to support discretionary trading decisions.
Signals are displayed only when:
• A directional change is detected by the ATR trailing logic, and
• The broader trend direction is aligned using EMA filters (when enabled)
This helps reduce counter-trend indications during strong trending conditions.
How to Use
• Use this indicator together with your own analysis, such as price action, support/resistance, or volatility tools
• Signals should be treated as alerts or points of interest, not execution commands
• Best suited for trend-following environments on intraday timeframes
This script is intended for educational and analytical purposes only and does not constitute financial or trading advice.
Buy & Sell Side Liquidity [Bellsz]Detects Buy-Side & Sell-Side Liquidity zones across multiple HTFs with purge tracking and clean visual logic.
Buy & Sell Side Liquidity is a multi-timeframe liquidity mapping engine designed to visualize where Buy-Side & Sell-Side Liquidity accumulates and gets purged.
This script automatically tracks:
Buy-Side Liquidity above Highs
Sell-Side Liquidity below Lows
Higher-Timeframe liquidity structures
Liquidity sweep events (purges)
Clean structural dividers for session context
The logic is optimized for clean execution, low chart noise & precision tracking of institutional liquidity behavior.
Every plotted level represents latent liquidity pressure, areas where price is statistically drawn, swept & repriced by large market participants.
The system dynamically updates levels in real time, removes or fades purged liquidity & preserves only relevant market-sensitive zones, keeping the chart focused on actionable liquidity data.
Structura [Wave Engine] v18.1b]STRUCTURA v18.1 is a quantitative market profiling system based on the rigorous methodology of Glenn Neely’s Mastering Elliott Wave (NeoWave).
Unlike standard Elliott Wave indicators that rely solely on price geometry, the Wave Engine incorporates Time Analysis as a primary weighting factor. It treats Price, Time, and Complexity as unified data points to generate objective structure labels, probability clouds, and forecasting zones.
🎨 The Painting Policy (Strict Non-Repainting) This engine is built for professional execution. Historical Stability: Historical wave labels are stored in persistent arrays and do not recalculate once a monowave is confirmed by the Neutrality Threshold. Projection Logic: Forecast zones and dual-count scenarios are projected from the last confirmed data point. They do not vanish mid-trade; they remain until invalidated by price action or time expiration.
🏛 The Neely Method Difference Standard Elliott Wave is often subjective. The Structura Wave Engine applies strict NeoWave rules to objectify the chart: Monowave Analysis: Breaks price action down into basic units using a specific Zigzag Depth and Neutrality Check to filter noise. Structure Labels: Assigns specific NeoWave labels (:3, :5, :F3, :L5, :s5) based on Retracement Rules (R1-R7) and Time Symmetry. Advanced Patterns (Post-1990): Unlike basic scripts, this engine detects complex Neely patterns including Diametrics (7-leg), Symmetricals (9-leg), and Neutral Triangles.
⚙️ Key Features in v18.1
1. Bull/Bear Dual View & Probability Cloud The engine does not force a single bias. It runs simultaneous simulations to present both the Bullish and Bearish interpretations of the current structure. Probability Scoring: Each scenario is assigned a confidence score (e.g., 75%) based on Pattern Completion, Time Similarity, and Rule Adherence. Dual Panel: A dashboard displays the competing counts side-by-side with invalidation levels and targets.
2. Time Analysis & 45° Scaling NeoWave requires charts to be squared (Price/Time symmetry). Time Similarity: The engine highlights adjacent waves that possess "Time Similarity" (within 20% duration), a crucial factor for pattern grouping. 45° Scaler: Calculates the optimal Price-to-Bar ratio for the current asset to ensure accurate wave identification.
3. 0-B Channels & Thrust Targeting 0-B Channels: Automatically draws the critical 0-B trendline for Zigzags and Flats to confirm pattern termination. Triangle Thrust: Upon detecting a Triangle, the engine projects the specific "Thrust Zone" (75-125% of the widest leg) expected upon breakout.
4. Multi-Timeframe (MTF) Confluence The engine checks the Higher Timeframe (HTF) trend to validate the current wave count. Signals are flagged as "Confluent" or "Divergent" based on the HTF momentum.
📋 Supported Patterns The engine automatically scans for: Impulses: Trending patterns (:5-:3-:5-:3-:5) with 2-4 Channel validation. Corrections: Flats, Zigzags, and Triangles. Complex Formations: Diametrics (Bow-Tie/Diamond) and Symmetricals.
⚠️ Disclaimer Trading involves high risk. This tool is an automated implementation of the Neely Method and is intended for educational and analytical purposes only. Past performance of wave counts does not guarantee future results.
Logic Level SignalsStructure. Volume. Risk. 🛡️
Logic Level Signals is a structural analysis engine designed for traders who require precision across any timeframe—from intraday scalping to long-term swing trading. 🌐
Unlike standard technical indicators that rely on lagging averages, this algorithm utilizes a proprietary multi-factor logic to identify high-probability structural breakpoints. It automates the complex task of pattern recognition, volume validation, and risk calculation into a single, streamlined interface. ⚡
🔥 Core Capabilities
1. 🏗️ Structural Breakpoint Detection
Institutional Logic: The engine scans for specific, institutional-grade accumulation and distribution structures.
Clean Visuals: Patterns remain hidden until a valid structure approaches maturity, keeping your charts clean and focused. ✨
Smart Filtering: Includes an adaptive size filter to ignore insignificant price noise, ensuring only macro-relevant structures are flagged. 📉
2. 📊 Volume & Momentum Validation
Trap Protection: A breakout is only as good as the volume behind it. The algorithm cross-references price action with internal volume metrics to validate the move. 🚫
Extension Logic: To prevent poor entries, the system automatically detects if price has extended too far from the equilibrium point, advising a "Wait for Retest" rather than a chase. ⏳
3. 💰 Integrated Risk Management
Auto-Sizing: The built-in Risk Engine eliminates manual calculation. Input your risk tolerance, and the system displays the exact position size required for the setup. 🔢
Dynamic Trade Management: Features adaptive stop-loss logic and automated Risk:Reward projections (default 1:3), ensuring every trade meets mathematical profitability standards. 🎯
⚙️ Configuration
Risk Settings: Input your Risk ($) and Contract Multiplier (e.g., 50 for Futures, 1 for Equity).
Timeframe: The logic is fractal and adapts to any timeframe (1m, 5m, 1H, 4H, Daily). 🕰️
Structure Select: Toggle Bullish 🟢 or Bearish 🔴 modes independently to align with the broader market trend.
Disclaimer: For educational and analytical purposes only. 📉📈
ICT Volume Imbalance Advanced by FSICT Volume Imbalance Indicator – Description
This indicator automatically identifies and plots Volume Imbalances based on ICT (Inner Circle Trader) concepts, highlighting areas where price moved inefficiently, leaving behind delivery imbalances in the order flow.
A Volume Imbalance represents a price zone where one side of the market (buy-side or sell-side) showed strong displacement, creating a gap in two-sided trading. These areas often act as magnets for price, serving as potential zones for mitigation, reaction, or continuation depending on market structure and liquidity context.
🔹 Key Features
Automatic Detection of Volume Imbalances
The indicator scans price action and marks imbalance zones in real time as boxes directly on the chart.
Right-Side Extension
Imbalance boxes can extend forward in time, allowing traders to monitor how price interacts with these zones as future delivery unfolds.
Clean Chart Visualization
Vertical lines have been removed to reduce visual noise, keeping the focus on the imbalance zones themselves.
Accurate Gap Plotting
Logic has been improved to ensure all valid imbalance gaps are correctly detected and displayed.
Dynamic Mitigation Handling
When price fully trades through an imbalance, the box is automatically removed.
If price partially fills the imbalance, the box is reduced, leaving only the unfilled portion active on the chart.
🔹 How to Use
Volume Imbalances can be used in confluence with:
Market Structure (BOS / CHoCH)
Liquidity pools (equal highs/lows, session highs/lows)
Fair Value Gaps (FVGs)
Premium/Discount arrays
They are especially useful for identifying inefficient price delivery, potential rebalancing zones, and areas where institutions may revisit to complete unfinished business in price.
Market Structure & Liquidity Framework by Frika7Market Structure & Liquidity Framework is a contextual market analysis indicator designed to study how price interacts with structure, imbalance, and liquidity over time.
Rather than acting as a collection of unrelated tools, the script integrates multiple analytical components into a single framework where each module serves a specific role in understanding market behavior.
The purpose of combining these components is to provide context, not redundancy. Price-based structures, imbalance zones, and liquidity references are evaluated together so that no single element is interpreted in isolation.
How the components work together
Price displacement and Fair Value Gaps
The script identifies impulsive price movements and the resulting inefficiencies left behind in the price range. These areas are used as contextual zones where future reactions may occur, especially when aligned with broader structure.
Market structure and block-based zones
Order blocks and breaker structures are derived from confirmed price reactions and failed structures. These zones help frame where previous participation occurred and where market control may have shifted.
Liquidity references
Recent highs, lows, swings, and sweep conditions are monitored to highlight areas where liquidity is likely to be concentrated. These elements are not treated as signals, but as reference points to understand stop-driven moves and price rejection behavior.
Trend and sentiment filters
Trend bias and sentiment conditions are used to contextualize structural and liquidity observations. This helps differentiate between reactions that occur in alignment with broader conditions and those that occur against them.
Each module contributes a different perspective, and their value comes from being read together. The indicator is designed so users can enable or disable modules depending on their analytical focus, avoiding unnecessary clutter while preserving context.
How to use the indicator
This script is intended as an analysis and decision-support tool, not a trading system.
It is best used to:
Understand market structure and price behavior
Identify areas of interest where reactions may occur
Filter low-context setups
Complement an existing strategy or execution model
Different display modes are provided to adapt the visual complexity to the user’s preference, from a clean structural view to a full contextual layout.
Important notes
All calculations are based on confirmed historical data and do not repaint.
The indicator does not generate trade recommendations or performance guarantees.
Designed for use across different markets and timeframes, with clearer behavior on liquid instruments.
Sharpe Ratio [Alpha Extract]A sophisticated risk-adjusted return measurement system that calculates annualized Sharpe Ratio with dynamic color-coded visualization distinguishing return quality across positive and negative performance regimes. Utilizing rolling period calculations with smoothed moving average comparison, this indicator delivers institutional-grade performance assessment with overbought/oversold threshold detection for extreme risk-adjusted return conditions. The system's four-tier color classification combined with histogram fills and background highlighting provides comprehensive visual feedback on whether current returns justify their volatility risk across varying market cycles.
🔶 Advanced Sharpe Ratio Calculation Engine
Implements classic Sharpe Ratio methodology measuring mean daily return divided by return standard deviation with annualization factor for consistent interpretation. The system calculates daily percentage returns, computes rolling mean and standard deviation over configurable periods, applies square root of 365 scaling for annualized comparison, and generates unbounded ratio values where higher positive readings indicate superior risk-adjusted performance.
// Core Sharpe Ratio Framework
Daily_Return = close / close - 1
Mean_Return = ta.sma(Daily_Return, Period)
StdDev_Return = ta.stdev(Daily_Return, Period)
Sharpe_Ratio = (Mean_Return / StdDev_Return) * sqrt(365)
🔶 Dynamic Four-Tier Color Classification
Features sophisticated color logic distinguishing between strong positive returns (green), weakening positive returns (yellow), weakening negative returns (orange), and strong negative returns (red) based on relationship to smoothed average. The system compares current Sharpe against SMA-smoothed baseline, applying green when positive and accelerating, yellow when positive but decelerating, orange when negative but improving, and red when negative and deteriorating for nuanced regime assessment.
🔶 Smoothed Baseline Comparison Framework
Implements SMA smoothing of Sharpe Ratio with configurable period to establish momentum reference line for trend determination within risk-adjusted returns. The system calculates simple moving average of raw Sharpe values, uses this smoothed line as directional benchmark, and determines whether current risk-adjusted performance is strengthening or weakening relative to recent average for color classification logic.
🔶 Extreme Threshold Detection System
Provides overbought and oversold level identification with configurable upper and lower bounds marking exceptional risk-adjusted return extremes. The system defaults to +4.3 for overbought threshold (extremely favorable risk-return profile) and -2.3 for oversold threshold (severely unfavorable risk-return profile), applying dashed horizontal reference lines and background highlighting when Sharpe breaches these statistical extremes requiring attention.
🔶 Histogram Fill Visualization Architecture
Creates gradient-filled histogram between Sharpe Ratio line and zero baseline using dynamic color matching with 30% transparency for intuitive positive/negative return distinction. The system fills area above zero with bullish colors (green/yellow) and below zero with bearish colors (orange/red), providing immediate visual confirmation of whether returns are compensating for volatility risk or destroying risk-adjusted value.
🔶 Background Zone Highlighting Framework
Implements subtle background coloring when Sharpe enters extreme overbought or oversold zones, alerting traders to statistically significant risk-adjusted return conditions. The system applies semi-transparent red background when ratio exceeds +4.3 (exceptionally strong risk-adjusted returns potentially unsustainable) and green background when below -2.3 (severely poor risk-adjusted returns potentially reversionary), creating visual alerts without obscuring price action.
🔶 Annualization Methodology Integration
Utilizes standard square root of time scaling (sqrt(365)) to convert rolling period Sharpe calculations into annualized format for cross-temporal comparison. The system applies this mathematical transformation ensuring Sharpe values represent expected annual risk-adjusted returns regardless of calculation period length, enabling consistent interpretation whether using 100-day or 200-day rolling windows.
🔶 Zero-Line Reference System
Provides critical zero-line plot serving as boundary between positive risk-adjusted returns (capital allocation justified by return/risk profile) and negative risk-adjusted returns (strategy destroying value on risk-adjusted basis). The system emphasizes this threshold as decision point where values above zero suggest continuation while values below zero indicate reconsideration of exposure.
🔶 Momentum-Based Color
Transitions Implements intelligent color switching logic that considers both absolute Sharpe value and its momentum relative to smoothed average, creating four distinct regimes for granular performance assessment. The system enables identification of bullish acceleration (green), bullish deceleration (yellow), bearish improvement (orange), and bearish acceleration (red) for nuanced position management beyond simple positive/negative classification.
🔶 Configurable Period Optimization
Features adjustable calculation period and smoothing length enabling optimization across different trading timeframes and volatility regimes. The system defaults to 150-period calculation (approximately 6-7 months of daily data) with 30-period smoothing, but allows customization from short-term tactical assessment to long-term strategic evaluation based on investment horizon and strategy requirements.
🔶 Performance Optimization Framework
Employs efficient rolling calculations with streamlined daily return processing and optimized standard deviation computation for smooth real-time updates. The system includes minimal computational overhead through single-pass mean and variance calculations, enabling consistent performance across extended historical periods while maintaining accuracy of risk-adjusted return measurements.
This indicator delivers sophisticated risk-adjusted return analysis through classic Sharpe Ratio methodology with enhanced visual classification distinguishing return quality and momentum. Unlike simple return-focused indicators, Sharpe Ratio penalizes volatility ensuring traders evaluate whether returns justify the risk undertaken. The system's four-tier color coding, smoothed baseline comparison, and extreme threshold detection make it essential for portfolio managers and systematic traders seeking objective performance assessment beyond raw price gains. High positive Sharpe values indicate efficient return generation relative to volatility risk, while negative values signal value destruction on risk-adjusted basis requiring strategy reassessment. The indicator excels at identifying periods when risk-taking is rewarded (green zones) versus periods when volatility exceeds returns (red zones) across cryptocurrency, forex, and equity markets for optimal capital allocation decisions.
Harmonic Patterns with Potential Detection-PremiumPREMIUM VERSION INCLUDES / (Harmonic Patterns with Potential Detection-Premium)
⭐ 5 ZigZag timeframes (5, 10, 15, 20, 50)
⭐ All 8 pattern types (Gartley, Crab, Deep Crab, Bat, Alt Bat, Butterfly, Shark, Cypher)
⭐ Potential pattern detection (Find patterns BEFORE D point forms!)
⭐ Automated Entry, TP1, TP2, and Stop levels
⭐ 16 detailed alert conditions (Bullish/Bearish for each pattern)
⭐ Potential pattern alerts (5 ZigZag-based)
⭐ Smart tooltip with trade info
⭐ Priority support
This indicator is designed to automatically detect commonly used Harmonic Patterns in financial markets and provide early warnings for "Potential" patterns that have not yet completed. It utilizes a Multi-ZigZag structure to analyze price movements across different timeframes simultaneously.
The indicator finds harmonics and automatically displays Entry, Stop, and Targets (TP1 and TP2) orders.
Key Features:
Advanced Pattern Detection:
Detects the following 8 harmonic patterns in both Bullish and Bearish directions:
- Gartley
- Bat
- Alt Bat
- Butterfly
- Crab
- Deep Crab
- Shark
- Cypher
Potential Pattern Detection (Early Warning System):
- Calculates the probable D point (Entry Level) after the C point is formed, even before the pattern is fully completed, and visualizes it with dashed lines.
- This feature allows traders to prepare and plan their trading strategies before the pattern completes.
- Automatically plots Entry, Stop, and Target levels for potential patterns.
Multi-ZigZag Analysis:
- Scans the market using 5 different ZigZag lengths (5, 10, 15, 20, 50). This allows you to see both short-term and long-term patterns on the same chart.
User-Friendly Visuals:
- Completed patterns are shown with clear lines and labels (X, A, B, C, D).
- Hovering over pattern labels (Tooltip) displays detailed information including the pattern name, Entry, TP1, TP2, and Stop levels.
- Only valid and active patterns are highlighted to prevent visual clutter.
Alert System:
- "Harmonic Formation" alert: Notifies when any pattern is completed (D point formed).
- "Potential Harmonic Formation" alert: Notifies when a potential pattern is detected (C point formed).
- Fully compatible with the TradingView alert system.
How to Use:
1. Select which patterns to scan for in the settings menu (all are selected by default).
2. Customize ZigZag sensitivities according to your strategy.
3. Dashed lines indicate "Potential" (uncompleted) opportunities, while solid lines indicate "Completed" patterns.
4.You can turn potential harmonics on and off.
5. Set an alarm to be aware of newly formed harmonics.
Disclaimer: This indicator is for educational and analytical purposes only. It does not constitute investment advice. Harmonic patterns are probability-based analysis methods and may not always yield successful results.
Get to know video:
www.youtube.com
Contact us for premium indicator.
Order Flow & Market PhaseOrder Flow & Market Phase is a market analysis indicator designed to help traders understand how price behaves when significant participation enters the market.
The script focuses on the interaction between volume, price structure, volatility, and market phases, rather than producing isolated buy or sell signals.
This indicator is built around the idea that meaningful price movements are usually preceded or accompanied by changes in participation, volatility, and structural behavior. Instead of relying on a single method, the script combines several analytical components into one unified framework, where each component serves a specific role.
Core analytical components
Order Flow and Volume Pressure
The script evaluates volume relative to price movement and range expansion to identify imbalances between buying and selling pressure. This helps highlight moments where one side of the market becomes dominant, as well as potential absorption scenarios where large activity fails to move price significantly.
Market Structure and Phase Context
Price structure is analyzed to determine trend continuation, structural breaks, and changes of character. These structural observations are then placed within broader market phases such as accumulation, distribution, markup, markdown, or neutral conditions. The goal is to provide context, not predictions.
Liquidity and Reaction Zones
The script identifies areas where price briefly moves beyond recent extremes and then rejects, suggesting possible liquidity-driven moves. These events are filtered using volume and volatility conditions to reduce random noise.
Supply and Demand Zones
Potential supply and demand areas are detected using price compression, expansion, and volume confirmation. Zones are managed dynamically and filtered by quality factors such as freshness, volume reaction, and higher-timeframe alignment.
Multi-Timeframe Confirmation
When enabled, higher-timeframe data is used to confirm directional bias and participation, allowing lower-timeframe observations to be evaluated within a broader market context.
Adaptive Market Regime Filtering
Volatility and trend conditions are measured using ATR-based normalization and directional metrics. Based on the detected regime, signal strictness is automatically adjusted so that the script behaves differently in trending, ranging, high-volatility, or low-volatility environments.
How to use the indicator
This script is intended as a context and confirmation tool, not a standalone trading system.
It can be used to:
Filter low-quality trade setups
Align entries with stronger market structure and participation
Understand whether price movement is driven by momentum, accumulation, or distribution
Improve timing and risk awareness when combined with an existing strategy
The dashboard summarizes market regime, phase, order flow conditions, and signal quality to help traders make informed decisions without focusing on a single signal.
Important notes
All calculations are non-repainting and based on confirmed data.
The indicator does not predict future price movements.
Performance metrics shown are session-based and are not a historical backtest.
Works across markets and timeframes, with clearer behavior on liquid instruments.
Meer SMC Pro [Smart Structure, Probability Zones & Mitigation]Meer SMC Pro is an all-in-one institutional trading suite designed to filter out noise and visualize high-probability Smart Money Concepts (SMC) setups. Unlike standard indicators that clutter the chart with infinite lines, this script uses a Predictive Scoring Engine to rate zones, validate market structure, and automatically identify "King of the Hill" volume levels.
It is specifically optimized for Gold (XAUUSD) and volatile pairs but works on all assets.
🛠️ Key Features & Logic Breakdown
1. 💎 Smart Zone Consolidation (Predictive "Jackpot" Logic)
Instead of showing individual, weak Order Blocks, the script uses an algorithm to merge overlapping zones within a specific ATR range. It then scores these zones based on Confluence:
⚖️ Normal: A standard valid Order Block.
🔥 STRONG: Valid Zone + High Volume (1.5x Average).
💎 JACKPOT: The highest probability zone. It combines High Volume + FVG + Structural Liquidity Sweep.
Logic: Helps traders identify which level to place a limit order on versus which level to wait for confirmation.
2. 📉 Advanced Market Structure (Real vs. Fake BOS)
The script maps ZigZag Highs/Lows (HH, HL, LH, LL) and identifies Break of Structure (BOS) with a built-in Validity Filter:
✅ Real BOS (Dashed Line): Validated by Displacement (Body close), Momentum, and Volume.
⚠️ Fake BOS (Dotted Line): Weak breaks that lack volume or displacement, often signaling a trap.
Visuals: Labels are placed centrally on the structure lines for clarity.
3. 🛡️ Mitigation & Breaker Blocks (Auto 50% EQ)
When an Order Block fails (gets violated), it flips its role:
Breaker Block: Formed when price sweeps liquidity before breaking the zone.
Mitigation Block: Formed on a failure swing (no sweep) before breaking.
✨ Auto-Equilibrium: The script automatically draws a White Dotted Line at the 50% Center of these blocks.
Logic: Institutions often mitigate their positions exactly at the 50% equilibrium of a failed block.
4. ⚡ Extreme Order Block ("King of the Hill")
To avoid analysis paralysis, this feature tracks only the Single Highest Volume Candle in the current trend leg.
Logic: It constantly compares volume. If a new candle beats the previous record, the "Extreme OB" box updates. This highlights the area of maximum institutional interest.
5. 🧹 Touch & Go System (Chart Cleanup)
Keeps the chart professional and clean.
Logic: Zones and lines do not extend infinitely. They extend for a fixed number of bars (e.g., 40). If price touches/mitigates a zone, or if the zone becomes invalid, the script automatically deletes the box and lines to prevent clutter.
6. 🎯 Liquidity Targets
BSL (Buy-Side Liquidity): Unmitigated Swing Highs.
SSL (Sell-Side Liquidity): Unmitigated Swing Lows.
These act as magnets for price before a reversal.
⚙️ How to Trade with Meer SMC Pro
Trend Identification: Follow the HH/HL (Bullish) or LH/LL (Bearish) labels. Wait for a Real BOS (Dashed Line) to confirm direction.
Entry Strategy:
Aggressive: Place limit orders at 💎 JACKPOT zones.
Conservative: Wait for price to tap a ⚖️ Normal zone and print a lower timeframe Choch.
Recovery: If a zone fails, look for a retest of the Mitigation Block's 50% Dotted Line.
Stop Loss: Place SL below the "Extreme OB" or the consolidated zone low.
🔧 Settings Guide
Smart Zone Consolidation: Keep ON for cleaner charts.
ATR Multiplier:
Use 0.5 for Volatile assets (Gold, Crypto, Indices).
Use 1.0 for Stable Forex pairs (EURUSD).
Structure Lookback: Default is 10. Increase to 20 for higher timeframe Swing Trading.
Disclaimer: This tool is for educational analysis of market structure. Past performance does not guarantee future results. Always manage your risk.
Weekday open ConnectorIndicator connecting open candles between 2 days of the week. For example if you want to see weekend price action, in setting you select Saturday and Monday. Connected lines are red if Saturday opened higher than Monday, green in opposite case.
ORBWAYORB Strategy | S&R • Key Levels • EMA Trend • Signals
A high-precision Opening Range Breakout (ORB) strategy that identifies and sends clear buy & sell signals during high-momentum market sessions. It combines ORB levels, dynamic Support & Resistance, and key structure levels, all filtered by an EMA trend for stronger confirmation.
Supports 5, 15, and 30-minute ORB (15 min recommended) to catch clean breakouts, avoid false moves, and trade with momentum. Built for crypto, forex, and indices, this script delivers structured, trend-aligned signals for consistent intraday trading.
Position Size FTWhy you should use this indicator:
It gives you the exact position size in seconds, based on your equity, your risk %, and your real stop location, so you don’t guess.
It keeps your risk consistent even when the stop is wider or tighter, so one “normal” trade can’t become a big loss.
It blocks stupid mistakes like reusing the last size, moving the stop, or oversizing when you feel confident.
It makes drawdown control automatic: drop from 1% to 0.5% or 0.25% and the tool enforces it without you negotiating with yourself.
This tool is your “no excuses” position sizer.
You tell it your account size and how much you’re willing to lose on one trade. Then, for every chart, it calculates the position size that matches your stop distance. So your risk stays the same even when the stop is wide or tight.
If you use it on every chart, you stop doing the two things that destroy accounts: guessing size and oversizing.
Account Equity ($)
Set this to your current account value. Update it at least once a week, or after a big win or loss. If this number is wrong, every size it prints will be wrong.
Risk per Trade (%)
This is the percent you are willing to lose if the stop gets hit.
My recommendation if you trade my system
0.25% if you’re new, or if you’re not consistent yet. This keeps you alive while you learn.
0.5% as your normal size when you’re trading well.
1% only when your account is at an all time high and the market is clean.
0.25% when you are in a drawdown (especially if you are down more than 10%) and the market feels messy.
Max Position Size (%)
This is a safety cap. Even if the math says you can take a huge position, the tool will limit it.
I recommend 25%.
It stops you from loading too much into one trade, especially on tight stops where position size can explode.
LOD/HOD Lookback Bars
This tells the tool which low or high to use for the stop reference.
Use 1 if you are using the current day Low of Day or High of Day.
Use 2 if you are using the previous day Low of Day or High of Day.
If you switch between those two in your strategy, you should switch this setting to match the setup. Otherwise the sizing will be off.
Table Position, Text Size, Text Color
This is just display.
Pick a corner that doesn’t block your chart.
Keep Text Size on Normal.
Use black text if your chart background is light, and white text if your background is dark.
My clean default setup
Account Equity = your real number
Risk per Trade = 0.5%
Max Position Size = 25%
Lookback Bars = 1 most of the time, 2 when the setup calls for previous day levels
Table Position = anywhere you like, keep it out of the way
The simple rule
If the tool is on the chart, sizing becomes automatic. If sizing is automatic, discipline gets easier. And if discipline gets easier, you stop donating money to the market.
Relative Strength Scatter PlotThis is a modication to the indicator ably coded by LOAMEX but with some minor modifications and uses Australian Stock Exchange indices instead of US. This makes it easier for those to use in other countries becasue it has the template for adding indices and the benchmark.
Refer to the LOAMEX indicator for information or the text in this open source pinescript.
The plot shows the relative strength of various indices to a benchmark index, in this case, the ASX XJO200. Indices or sectors located close to the top right hand quadrant are showing the best out performance and thus make up the best source to create your watchlist.
Similarly, you can put stocks in your portfolio into the indicator and see which ones are closest to the upper right of the plot. Those residing in the bottom left quadrant need to be pruned from your portfolio or watched more carefully with closer stop losses.
BB Breakout Trader by HEXEDIT**Do not modify the indicator settings.
This indicator can be used on multiple timeframes, but it works best on the 1-hour timeframe.
IFVG Ultimate Toolkit PRO+ by [Yahya]🔷 OVERVIEW
This script is a comprehensive institutional toolkit designed to automate the Inner Circle Trader (ICT) and Smart Money Concepts (SMC) framework. It replaces manual chart markups with a high-performance, real-time calculation engine that tracks Liquidity, Time, and Inter-market Correlations.
From identifying "hidden" magnets like the Event Horizon (EHPDA) to detecting the exact moment "Smart Money" flips a zone via the Inversion FVG (iFVG), this tool provides a complete roadmap for the professional intraday trader.
Integrated institutional framework that transforms raw price data into actionable narrative. Unlike static indicators, it utilizes a dynamic time-series engine to provide real-time, touch-sensitive FVG mitigation and "garbage-collected" memory management to prevent chart lag. Its core superiority lies in multi-asset correlation (SMT) and GMT-synchronized session logic, ensuring users see the exact "Midnight Open" and "Killzones" used by institutional algorithms. By automating complex ICT concepts like Inversion FVGs and Synthetic PO3 projections, it eliminates manual bias and provides a professional roadmap based on liquidity sweeps rather than lagging retail signals, all within a high-performance, non-repainting environment.
🚀 KEY CORE FEATURES
• Institutional Killzones & Pivots: Automatically maps Asia, London, and NY sessions with GMT-sync protection. It projects session highs/lows forward until they are swept, providing real-time liquidity alerts.
• Multi-Timeframe (MTF) FVG Engine: Scans up to 12 user-defined timeframes. Boxes feature Touch-Sensitive Logic, dynamically shrinking as price mitigates the gap to show remaining unfilled orders.
• iFVG (Inversion) Trigger: The "Hidden Secret" logic. It identifies failed FVGs that have been closed through with high volume, signaling a powerful support/resistance "flip."
• Multi-Asset SMT Radar: A correlation scanner that monitors up to 8 assets (e.g., NQ vs. ES vs. DXY). It flags "cracks in correlation" to catch institutional accumulation/distribution before it happens.
• Synthetic AMD (PO3) Projection: Renders Higher Timeframe (HTF) candles on the right side of your chart. It visually breaks down the Power of 3 (Accumulation, Manipulation, Distribution) so you can see if you are inside a daily wick.
• Event Horizon (EHPDA) & Opening Gaps: Plots New Week (NWOG) and New Day (NDOG) opening gaps. It calculates the Consequent Encroachment (C.E.) and midpoints between gaps to find institutional price magnets.
• EQH/EQL Liquidity Pools: Uses a "Fuzziness" algorithm to find equal highs/lows within a 200-bar lookback, identifying where large clusters of stop-loss orders are resting.
1. Multi Timeframe FVGs Engine🟢
The script scans multiple user-defined timeframes (from 30-seconds up to Weekly) to identify Fair Value Gaps. It uses a "touch-sensitive" logic: when price mitigates a gap, the box can automatically resize or change color to indicate the level has been tested.
The function find_box uses the standard formula for an imbalance:
• Bullish: low > high (A gap between the high of candle 1 and the low of candle 3).
• Bearish: high < low .
• Dynamic Updating: The control_box method uses box.set_top and box.set_bottom to "shrink" the boxes as price eats into the gap, providing a real-time look at remaining liquidity.
Security & Performance
This code includes a Premium Safety Toggle (enable30s). Its a smart addition! TradingView limits the use of sub-minute timeframes in request.security to Premium members. By including this toggle, it prevent the script from crashing for Free/Pro users.
To prevent the chart from becoming cluttered with "dead" data, the script uses a Mitigation Security Loop:
* Detection: It constantly compares the current close price to the stored _boxLow or _boxHigh in the arrays.
* State Change: When price enters the FVG area, it triggers box.set_bgcolor to the "Tested" color.
* Deletion: If price moves entirely through the gap (full mitigation), it uses array.remove and box.delete. This is critical for performance; if the script didn't delete old boxes, it would eventually hit the 500-box limit and stop working.
2. Institutional Session Killzone & Pivot Mechanics🟢
It automatically plots the Asia, London, New York AM/PM, and Lunch sessions. Beyond simple boxes, it calculates the Average Range of these sessions and displays them in a real-time dashboard to help traders gauge volatility expectations.
The script utilizes the time() function with a GMT offset to isolate specific institutional "Killzones."
• Logic: When the current time falls within a defined session (e.g., London "0200-0500"), the script initializes a kz type object.
• Range Tracking: It continuously updates the high and low coordinates using math.max() and math.min() until the session closes.
• Pivot Invalidation: Once the session ends, these levels are projected forward as line objects. The script utilizes _hi_valid and _lo_valid boolean arrays; if the current price trades through these lines, an alert is triggered, and the line is visually updated to signal a Liquidity Sweep.
The security behind the Killzones involves translating your local computer time into the "Exchange Time" or a "Fixed Timezone" (like UTC-5 for New York).
Timezone Protection: By using gmt_tz = input.string('America/New_York'...) and passing it into the time() function, the script ensures that a trader in London and a trader in Tokyo see the "New York Open" at the exact same moment on the chart.
State Detection: ```pinescript
t = not na(time("", this.session, gmt_tz))
t_prev = not na(time("", this.session, gmt_tz, bars_back = 1))
3. Opening Gaps & Event Horizon (EHPDA)🟢
It tracks New Week Opening Gaps (NWOG) and New Day Opening Gaps (NDOG), projecting "Event Horizons" (EHPDA) which act as significant institutional magnets for price action.
This module tracks the relationship between the previous period's close and the current period's open.
Identification: Upon a timeframe.change(), the script captures the distance between Close and Open .
Consequent Encroachment (C.E.): The script calculates the exact equilibrium of the gap:
Midpoint= Gap High + Gap Low
2
* EHPDA Logic: Using the set_ehpda method, the script calculates the mathematical midpoint between consecutive opening gaps, identifying a "Hidden Pivot" where price typically seeks rebalancing.
4. Equal High & Equal Lows Liquidity Pool🟢
This script identifies EQH/EQL (Equal Highs/Lows) by scanning a 200-bar lookback for price matches. It uses a break-on-violation logic: if any intervening price exceeds the level, the liquidity is considered "cleared" and ignored.
This ensures only relevant, unmitigated double tops/bottoms are plotted, pinpointing high-probability buy/sell-side liquidity pools for ICT and SMC strategies while maintaining chart clarity and performance
Sensitivity Check: It uses a "Fuzziness" or "Tolerance" logic. Since price rarely hits the exact same decimal point (e.g., 1.25000 vs 1.25001), the script calculates if the difference is within a few "ticks."
The script identifies Liquidity Pools by scanning the price history for horizontal clusters.
The Algorithm
The findAndDrawEqualHighs function performs a lookback loop.
* It identifies a current swing point (src ).
* It iterates backward through lookbackLength.
* Proximity Matching: If the historical price exactly matches (src == src ), it validates the level.
Note: In advanced ICT concepts, this code functions as a "Magnet" detector. When these lines are drawn, it signifies that Buy-side or Sell-side stops are resting just above/below, which the Market Maker will likely sweep to facilitate their own orders.
5. Synthetic AMD Projection🟢
A sophisticated visualizer that draws HTF candles (including custom daily opens like Midnight or 8:30) on the right side of the chart. This allows traders to monitor HTF trend and momentum without switching tabs.
• The Power of 3 (PO3):
1. Accumulation: Anchored by a custom_daily open price (Midnight/8:30/9:30).
2. Manipulation: The script renders wicks using line.new() to show where price deviated below/above the open.
3. Distribution: The script calculates the body expansion of the HTF candle, allowing traders to see the real-time "state" of the Daily or Weekly candle without switching tabs.
• Inter-market SMT: The logic compares the current ticker's high/low against a secondary ticker (via request.security). If a non-correlation (divergence) occurs, the script flags has_bearish_div or has_bullish_div directly on the synthetic HTF candles.
The "Trace" System
The Trace type creates horizontal projections of the HTF Open, High, Low, and Close.
• Significance: It allows you to see the "Current Candle State." If the LTF price is trading below the projected HTF Open but above the HTF Low, you are mathematically inside the "Lower Wick" of the HTF candle—a prime location for ICT long entries.
Memory Management and Performance
To prevent the "Script Requesting Too Many Drawings" error, this script features a self-cleaning logic:
• Array Management: It uses array.unshift() to add new objects and array.pop().delete() to remove the oldest drawings once the max_days or max_boxes_count limit is reached.
• Non-Repainting: All security calls use the index or barstate.isconfirmed checks to ensure that signals do not disappear after the bar closes.
6. Multi- Timeframe SMT Divergence🟢
This logic acts as a Correlation Radar. By calling request.security() for 8 assets (e.g., ES, NQ, DXY), the script checks for "cracks" in symmetry. If one asset makes a new high but others fail, an SMT is flagged.
This is a correlation engine. It looks for "cracks" in the relationship between two assets that should move together (like the S&P 500 and Nasdaq).
• How it works: It simultaneously looks at your current chart and a "hidden" second chart. If Asset A makes a higher high, but Asset B fails to make that higher high, it signals a Divergence. This often precedes a massive trend reversal.
• Visual Logic: It draws diagonal lines directly between the highs or lows of the HTF candles to show you the "tilt" of the divergence visually.
• Security (Data Integrity): The script uses "Protected Security" calls. It ensures that the data from the second asset is synced perfectly in time with your current chart, preventing "future-leaking" where an indicator looks like it’s winning only because it knows what happens next. To prevent crashes, it uses Array Buffers and Tuple Requests, grouping data to stay under Pine Script's 40-call limit while ensuring non-repainting accuracy.
7. High Timeframe (HTF) Candle Projections PO3🟢
The script "projects" larger timeframe candles (like Daily or 4-Hour) onto your lower timeframe chart (like the 1-minute or 5-minute).
• How it works: It builds these candles using math and coordinates rather than standard bars. This allows them to sit on the right side of your screen in the "empty space," giving you a roadmap of the higher-order trend without blocking your view.
• Swing Detection Logic: It identifies if these projected candles have "swept" liquidity.
• Empty Triangle (▽): A "Potential" sweep. Price is currently above a old high, but the candle hasn't closed yet.
• Solid Triangle (▼): A "Confirmed" sweep. The candle closed, and price was rejected, leaving a wick.
• Security: The script uses an Array Buffer. It only keeps a specific number of these candles in memory. As a new candle forms, the oldest one is deleted. This keeps the script fast and prevents TradingView from lagging.
The "Trace Lines" (Open, High, Low, Close) connect the HTF projected candles back to the actual price bars.
This is a Performance Guardrail. Pine Script has a maximum lookback for drawing objects. By checking if the index is within 5000 bars, the script avoids trying to draw lines into "null" memory space, which would throw a runtime error.
8. Expansion & Equilibrium (EQ) Logic🟢
This logic predicts the "intent" of the market based on the previous candle's behavior.
• Expansion expected: If the previous HTF candle created a "Swing Low" (swept a low and rejected), the script colors the current forming candle as Bullish Expansion. It’s telling you: "The sweep is done; we are likely moving up now."
• Equilibrium (EQ) Line: It draws a dotted line at the exact 50% mark of the previous HTF candle. In institutional trading, the 50% mark (Mean Threshold) is the "fair value" point. Trading above it is "Premium," and below it is "Discount."
• Security: It uses Timezone Normalization. Regardless of where you live, the script can sync to the New York Midnight or 8:30 AM open, ensuring your levels match the algorithm's "True Day" start.
9. The HTF Info Table🟢
This is the "Dashboard" logic. It summarizes the state of multiple timeframes into a single UI element.
Acts as your mission control. It gathers data from up to 6 different timeframes and puts them in a clean table.
Expansion Logic: ```pinescript
exp_text = c2_swing_high and c2_swing_low ? "▲▼" : c2_swing_low ? "▲" : c2_swing_high ? "▼" : "-"
This tells the trader what the
next candle is expected to do. If the previous candle swept a low expansion up the table flags.
• How it works: It scans all active timeframes for Timers, Swings, Expansions, and Divergences. If 4 out of 6 timeframes show a "Bullish Expansion" icon (▲), you have high-probability confluence.
• Logic Security: The table only updates on "Real-Time" bars. It won't waste processing power recalculating historical table data that you can't trade anyway.
10. The iFVG (Inversion Fair value gap) Engine🟢
Standard FVGs are gaps where price moves too fast. This script tracks Inversions—when a gap that was supposed to act as support is "run over" and becomes resistance (or vice versa)
This is the most complex logic in the snippet. It doesn't just look for gaps; it looks for failed gaps that act as support/resistance.
The Inversion Trigger: The script waits for a specific number of candles (inv_candles) for price to close through the FVG. Once the is_inverted condition is met, it converts a standard FVG into an iFVG.
Memory Management: By using array.push(active_boxes, new_box) and a corresponding box.delete loop, the script ensures it never exceeds the TradingView drawing limits, which would otherwise cause the script to lag or crash.
The "Secret Sauce" Logic: It includes a volatility filter. It won't plot an iFVG unless the move was backed by high volume, orderflow and a large price spread. This ensures you only see gaps created by banks, not retail noise.
Security: It features an Invalidation Cleanup. Once price moves too far past an iFVG, the script "kills" the drawing. This prevents the chart from being cluttered with old, irrelevant levels and saves your computer's memory.
How it works: The script identifies a gap between Candle 1 and Candle 3. It then enters a "monitoring state" for a set number of candles. If price closes through that gap, it "flips" the zone and draws a box extending into the future.
11. IFVG MTF ALERTS🟢
The Multi-Timeframe iFVG Alerts function as a real-time "state change" monitor across your 1m to 15m execution charts. Unlike standard price alerts, these only trigger when the script detects a failed FVG—meaning price hasn't just touched a gap, but has closed completely through it with enough displacement to flip the zone's institutional bias.
🔔 How the Alerts Function
• Fractal Detection: The script scans your selected 1, 2, 3, 4, 5, and 15-minute intervals. For eg, If a 15m Bearish FVG is "run over" by price, it sends an Inversion Alert, signaling that a high-timeframe resistance has now flipped into support.
• Volume/Close Validation: To prevent "fakeouts," the alert only fires when a candle body closes above (for bullish flips) or below (for bearish flips) the gap boundaries. This ensures the alert represents a genuine shift in order flow rather than just a wick sweep.
• Non-Repainting Logic: By using barstate.isconfirmed, the alert triggers exactly at the candle close. This ensures that once you get a notification on your phone or desktop, the level is "locked" and won't disappear if price fluctuates later.
🛠️ HOW TO USE (THE INSTITUTIONAL WORKFLOW)
1. TIME: Identify if you are in a Killzone (Shaded area). Opening Gaps & EHPDA: Locate the NWOG and NDOG lines. Use the Event Horizon (EHPDA)—the midpoint between gaps—as your primary "Magnet."
2. BIAS: Check the EHPDA/Midnight Open. Are you in a Discount (to buy) or Premium (to sell)?
Use HTF Info Table: Confirm your idea. If the table shows "▲" (Bullish Expansion) across 4/6 timeframes, you have a massive directional tailwind.
3. MAGNET: Look for the EQH/EQL dotted lines. This is your target.
4. TRAP: Wait for a Liquidity Sweep
5. CONFIRM: Check the SMT Radar for divergence and the HTF Info Table for expansion confluence.
6. MTF FVG Engine: Look for price to enter a large Higher Timeframe FVG. Because these are "touch-sensitive," the box will shrink as price eats the liquidity, telling you exactly when the gap is "full."
• iFVG Inversion Trigger: Once inside the MTF FVG and after an SMT, wait for a small gap to form and fail.
• The Move: Price closes through a Bearish FVG and flips to a Bullish iFVG.
• Execution: Enter on the inversion of the iFVG box.
🛡️ PERFORMANCE & SECURITY
• Memory Management: Features a built-in "Garbage Collector" that deletes old drawings to stay under TradingView's 500-object limit and prevent lag.
• Premium Safety Toggle: Includes an enable30s check to prevent script crashes for non-premium users on lower timeframes.
• Non-Repainting: All request.security calls use indexing or barstate.isconfirmed to ensure signals are permanent once the candle closes.
📌 NOTES
• Optimized For: 1M, 2M, 3M, 4M , 5M, and 15M execution timeframes.
• Markets: Works on Forex, Indices (NQ/ES), Commodities (Gold), and Crypto.
⚠️Risk Disclaimer
Financial Trading involves significant risk. This Pine Script is an educational tool designed to automate specific technical analysis frameworks; it does not guarantee profits or provide financial advice. Past performance, including backtested results or historical "Power of 3" projections, is not indicative of future success.
The user assumes full responsibility for all trading decisions and capital risk. Use of this script on real-money accounts should only occur after extensive personal testing. The developer is not liable for any financial losses, data inaccuracies, or platform-related execution errors resulting from the use of this software.
Strategy2.0 H4 Only + Volume FightStrategy2.0 H4 Only + Volume Fight is a trend-following indicator designed for H4 timeframe trading. It works consistently and correctly on any chart timeframe, while all calculations and signals remain strictly anchored to H4.
The indicator uses a three-layer entry filtering system. A trade is triggered only when all conditions are met simultaneously. The core idea is to enter the market only during confirmed trends and at the moment when real volume appears, avoiding flat markets and false moves.
The first condition is the trend direction defined by the main MACD (12, 26, 9) calculated on the H4 timeframe. Values above zero indicate a bullish trend, while values below zero indicate a bearish trend.
The second condition is momentum confirmation using a fast MACD (3, 7, 9), also calculated on H4. When the fast MACD moves against the main MACD, the market is considered to be in a preparation phase. Entry is allowed only when both MACDs are aligned in the same direction.
The third and key condition is the Volume Fight filter. This component analyzes the balance between bullish and bearish volume and highlights active and inactive market phases. Gray zones represent the absence of volume and market interest — trades are strictly forbidden in these areas. A signal appears only when the market exits a gray zone and volume confirms the movement.
Additionally, a liquidity filter based on 24-hour USD volume is used to exclude low-liquidity instruments. The volume is calculated strictly on the daily timeframe and does not depend on the current chart timeframe.
An optional correlation filter with a selected instrument (for example, BTC) is available to avoid excessive market dependency and duplicate exposure. Specific instruments can be excluded from correlation checks if needed.
All signals are strictly tied to the H4 timeframe. Switching to lower timeframes does not increase the number of signals. Repeated signals in the same direction are blocked until the main MACD changes its trend.
The indicator visually highlights market phases: green candles represent confirmed bullish trends, red candles represent confirmed bearish trends, and gray candles indicate the preparation phase. BUY and SELL signals appear on the next candle after confirmation, eliminating repainting.
This indicator is intended for swing and position trading and does not constitute financial advice.
SMA Cross Counter - MTF SmoothTitle Idea
SMA Cross Counter - MTF Smooth (Find the 50-Bar Sweet Spot)
Description
Overview
This indicator tracks and displays the number of bars elapsed since the current 20SMA crossed the Higher Timeframe (HTF) 20SMA. By quantifying the "age" of a trend, it is designed to help traders identify high-probability pullbacks with objective precision.
Strategy: The 50-Bar Sweet Spot
This script is built around a specific tactical observation:
The Target: A "One-Cushion Granville Setup" occurring approximately 50 bars after the crossover is often a high-probability "Sweet Spot." At this stage, the trend is usually well-established but still possesses significant momentum.
The Edge: By monitoring the counter in the bottom-right corner, you can move away from subjective "feel" and objectively judge the trend's maturity. It helps you avoid the high volatility of an early cross and the exhaustion risks of a late-stage trend (e.g., over 100 bars).
Key Features
Automatic MTF Selection The reference timeframe updates automatically as you switch charts.
1m chart → 5m SMA
5m chart → 30m (or 15m) SMA
15m chart → 1h SMA
Daily chart → Weekly SMA, and so on.
Smooth MTF Visualization Eliminates the "stepped/staircase" effect common in MTF indicators. It connects higher-TF data points with smooth, diagonal lines, maintaining a clean chart and showing the true slope of the trend.
Real-Time Bar Counter Resets to "0" at the exact moment of a crossover and increments by 1 with every new bar.
Settings
5m Chart Reference: Choose between 30m or 15m as the HTF source when trading on a 5m chart.
SMA Period: Defaults to 20, but fully adjustable to fit your specific strategy.
タイトル案
SMA Cross Counter - MTF Smooth (50本目のスイートスポット判定)
説明文（日本語）
概要
このインジケーターは、現在の20SMAが上位足の20SMAと交差してからの「経過バー数」をリアルタイムでカウントし、右下のテーブルに表示します。 単なるクロスの確認ではなく、トレンドの「経過時間」を数値化することで、押し目買い・戻り売りの精度を極限まで高めるために開発されました。
戦略：50本目のスイートスポット
本インジケーターは、以下のトレード理論をベースに設計されています。
狙い目: SMA同士がクロスしてから50本程度経過したタイミングでの「ワンクッショングランビル」は、トレンドの勢いが安定し、かつ伸び代が最も残されている**「スイートスポット」**となる可能性が高い。
メリット: 右下のカウンターを見るだけで、感覚に頼らず「今がトレンドの何合目か」を客観的に判断できます。クロス直後の不安定な時期や、100本を超えたトレンド終盤の失速リスクを避けるのに有効です。
主な機能
自動タイムフレーム選定 (Auto-MTF) チャートの時間軸を切り替えるだけで、表示中の足に合わせて最適な上位足を自動選択します。（例：5分足なら30分足SMA、15分足なら1時間足SMAなど）
滑らかな上位足ライン MTF特有の「階段状のギザギザ」を排除。上位足の確定値を直線で結ぶため、チャートを美しく保ちつつ、正確なトレンドの傾きを確認できます。
リアルタイム・カウンター SMAがクロスした瞬間に「0」へリセット。以降、1本ごとに加算されます。
設定項目
5分足チャート時の参照先: 上位足を「30分」にするか「15分」にするかを切り替え可能。
SMA期間: デフォルトは20。ご自身の手法に合わせて調整してください。
SMR CloseGuard TriggerThis indicator is designed for traders who want high‑quality breakout signals that trigger only after a candle fully closes beyond a specified price level, rather than reacting prematurely when price merely touches or wicks into the zone.
Unlike traditional alert methods that fire the moment price hits a level, this tool waits for confirmed candle closes, reducing noise, false breakouts, and wick‑based traps.
🔹 Buy Logic
A Buy Signal is generated only when:
• The candle closes above the user‑defined price level
• Not just a wick or intrabar spike
• Ensuring the breakout is confirmed and validated by closing strength
🔹 Sell Logic
A Sell Signal is generated only when:
• The candle closes below the user‑defined price level
• Again, no alerts from intrabar touches
• Only confirmed downside breaks trigger signals
🔹 Why This Matters
This approach filters out:
• Fakeouts
• Liquidity grabs
• Wick‑based manipulation
• Premature entries
HTF Flip Close Levels, Daily Weekly Monthly TASHTF Flip Close Levels (D/W/M) — Support & Resistance Tool
This indicator automatically plots Daily, Weekly, and Monthly support & resistance levels based on higher-timeframe candle close behaviour.
🔹 What this tool does
The script detects HTF momentum flips using closed candles only:
Support is created when:
A red candle is followed by a green candle
The level is drawn at the close of the red candle
Resistance is created when:
A green candle is followed by a red candle
The level is drawn at the close of the green candle
This creates objective, rule-based horizontal levels derived purely from price behavior, not indicators.
🔹 Features
✅ Plots Daily, Weekly, and Monthly levels simultaneously
✅ Works on any timeframe (1m, 5m, 1H, Daily, Weekly, etc.)
✅ Keeps full historical levels, not just the most recent ones
✅ Optional auto-hide tapped levels (when price touches them)
✅ Tap detection:
Wick touch
or Close cross/touch
✅ Levels are always based on HTF candle closes, never wicks
✅ Designed to stay consistent across timeframe changes
🔹 How to use it (IMPORTANT)
This indicator:
❌ Does NOT predict market direction
❌ Does NOT generate buy/sell signals
❌ Does NOT tell you when to enter or exit
It is a context & confluence tool.
You should use these levels together with:
Market structure
Trend analysis
Volume / orderflow / CVD
Your own entry model
Your own risk management
Think of these levels as areas of interest, not automatic trade signals.
🔹 Best use cases
Confluence with:
Local support/resistance
VWAP / Anchored VWAP
Range highs/lows
Liquidity zones
Reversal or continuation patterns
Identifying:
HTF reaction zones
Decision points
Areas where other traders are likely watching
⚠️ Disclaimer
This indicator is a technical analysis tool only.
It is NOT financial advice.
It does NOT guarantee profits.
All trading decisions and risk are your responsibility.
Use it as part of a complete trading system, not as a standalone strategy.
SuperLine - Convenient MA & VWAP OverlayA simple yet powerful combination of SMA / EMA presets (5, 15, 20, 60, 120, 200) and flexible VWAP with customizable timeframes (D/W/M/Y) and anchored mode. Perfect for trend-following and identifying key institutional value zones.
PEGY RatioThe basic metrics that all indicators descend from are for each bar the Open, High, Low, Close and Volume where the Close is often noted as Price. Then the Price/Earnings ratio entered trading. Price/Earnings is often noted as P/E ratio or PE.
The first major formalisation and widespread use of the P/E ratio came in 1934, when Benjamin Graham and David Dodd introduced it in their landmark book "Security Analysis". Their work established the P/E ratio as a core tool in fundamental analysis and value investing.
Graham’s influence was profound: he used the P/E ratio to help investors judge whether a stock was overpriced or underpriced, and his teachings shaped generations of value investors, including Warren Buffett.
The P/E ratio evolved into modern variants like forward P/E and Shiller CAPE.
There’s no single P/E cutoff that definitively marks a “growth” or “income” stock, but investors commonly treat P/E below about 10–15 as value/income oriented and P/E above about 20–25 as growth oriented. It is important to watch the P/E trend. If the P/E is a low value and reducing in value, then the company may be failing, and it is not good to invest in.
P/E is a relative signal, not an absolute rule. A high P/E usually means the market expects above average future earnings growth; a low P/E often signals lower growth expectations, higher current yield, or elevated risk. Benchmarks vary by sector and cycle: what’s “high” for utilities is low for software. Historical market averages (e.g., S&P 500) help frame whether a multiple is elevated or depressed.
The next step was the PEG ratio which was first introduced in 1969 by Mario Farina, who described it in his book "A Beginner’s Guide to Successful Investing in the Stock Market".
The concept later gained widespread popularity thanks to Peter Lynch, who championed it in his 1989 bestseller "One Up on Wall Street", arguing that a “fairly priced” company tends to have a PEG of about 1. Over 1 is overpriced and below is a bargain.
Later the PEGY ratio, a variation of the PEG ratio that added dividend yield into the valuation came into prominence so that mature, dividend paying companies are treated “fairly” . The PEGY ratio emerged in the 1990s as analysts and portfolio managers began adapting the PEG ratio for dividend paying companies. The concept is a natural extension of Peter Lynch’s PEG logic: If growth matters, and dividends matter, combine them into one valuation metric.
PEGY (Price/Earnings Growth% and Dividend Yield) is a straightforward modification of the PEG ratio that adds dividend yield to the growth term so that mature, dividend paying companies aren’t penalized by low growth rates alone. The formula is typically written as:
PEGY=(Price/Earnings)/(Earnings growth %+Dividend yield%)
Peter Lynch (One Up on Wall Street, 1989) is the most cited printed source that describes a dividend adjusted PEG concept and applies it as a practical screening rule for investors. PEGY is in Chapter “Some Fabulous Numbers”.
If earnings are negative, then the PEGY ratio will be negative, and it is best to invest in companies that make money. That is, positive PEGY ratio.
The PEGY ratio can have different ratios depending upon whether historical data is used (Mario Farina preference) or whether forward looking earnings (Peter Lynch preference) is used in the calculations.
Enough for the history lesson. You can quickly go through your watchlist and determine which stocks have a PEGY Ratio from 0 to 1 and eliminate the others. Then whittle down that list to find stocks travelling from bottom left to upper right on the page. Use any other indicators on that reduced list that your tradng plan uses and there you have your list of stocks in which to invest.
