Trend Double Pullback [Stable 20]v1.0Trend Double Pullback Trend Double Pullback Trend Double Pullback Trend Double Pullback Trend Double Pullback Trend Double
Candlestick analysis
Previous Day Range MarkerThis indicator highlights the high and low of the last confirmed candle on the current timeframe and optionally displays the range of the previous trading day (Daily) on lower timeframes.
It also calculates and shows the candle range in percent, helping traders quickly assess volatility and higher-timeframe context.
All levels are plotted forward into the future and can be individually enabled or disabled.
Anhnga4.0 - Filter ToggleINPUTS:
1.5 0.8 (OR 1.6 0.5/0.6)
BE=0.45
1
MAs: 35 135
7
This Pine Script code defines a trading strategy named **"Anhnga4.0 - Filter Toggle"**. It is a trend-following strategy that uses momentum oscillators and moving averages to identify entries, while featuring a specific "Overextension Filter" to avoid buying at the top or selling at the bottom.
Here is a breakdown of how the script works:
---
## 1. Core Trading Logic (The Entry)
The strategy looks for a "perfect storm" of three factors before entering a trade:
* **Momentum (WaveTrend):** It uses the WaveTrend oscillator (`wt1` and `wt2`).
* **Long:** A bullish crossover happens while the oscillator is below the zero line (oversold).
* **Short:** A bearish crossunder happens while the oscillator is above the zero line (overbought).
* **Trend Confirmation:** The price must be on the "correct" side of three different lines: the 20-period Moving Average (BB Basis), the 50-period SMA, and the 200-period SMA.
* **The Window:** You don't have to enter exactly on the cross. The `Signal Window` allows the trade to trigger up to 4 bars after the momentum cross, provided the trend filters align.
## 2. The "Overextension" Filter
This is a unique feature of this script. It calculates the distance between the current price and the **50-period Moving Average**.
* If the price is too far away from the MA (defined by the **ATR Limit**), the script assumes the move is "exhausted."
* If `Enable Overextension Filter?` is on, the strategy will skip these trades to avoid "chasing the pump."
* **Visual Cue:** The chart background turns **purple** when the price is considered overextended.
---
## 3. Risk Management & Exit Strategy
The script manages trades dynamically using Bollinger Bands and Risk:Reward ratios:
| Feature | Description |
| --- | --- |
| **Stop Loss (SL)** | Set at the **Lower Bollinger Band** for Longs and **Upper Band** for Shorts. |
| **Take Profit (TP)** | Calculated based on your **RR Ratio** (default is 2.0). If your risk is $10, it sets the target at $20 profit. |
| **Breakeven** | A "protection" feature. Once the price moves in your favor by a certain amount (the `Breakeven Trigger`), the script moves the Stop Loss to your entry price to ensure a "risk-free" trade. |
---
## 4. Visual Elements on the Chart
* **Green Lines:** Your target price (TP).
* **Red Lines:** Your initial Stop Loss.
* **Yellow Lines:** Indicates the Stop Loss has been moved to **Breakeven**.
* **Purple Background:** High alert—price is overextended; trades are likely being filtered out.
---
## Summary of Settings
* **BB Multiplier:** Controls how wide your initial stop loss is.
* **ATR Limit:** Controls how sensitive the "Overextension" filter is (higher = more trades allowed; lower = stricter filtering).
* **Breakeven Trigger:** Set to 1.0 by default, meaning once you are "1R" (profit equals initial risk) in profit, the stop moves to entry.
BTC/SOL Spread StrategySpread Percentage Trading Strategy
A mean reversion strategy for highly correlated asset pairs (e.g., BTC/SOL) that trades based on price ratio divergence.
CORE CONCEPT
This strategy monitors the logarithmic spread between two correlated assets and generates trading signals when the spread deviates significantly from its historical mean. It only trades the second asset (S2) while using the first asset (S1) as a reference for spread calculation.
HOW IT WORKS
Spread Calculation:
- Computes log spread: log(S1) - log(S2)
- Calculates rolling Z-score of the spread
- Identifies overbought/oversold conditions
Entry Signals:
- Long S2: When spread Z-score crosses above entry threshold (S1 relatively overpriced)
- Short S2: When spread Z-score crosses below negative entry threshold (S2 relatively overpriced)
Exit Signals:
- Positions close when Z-score reverts to exit threshold levels
KEY PARAMETERS
- Window: Rolling period for mean and standard deviation calculation (default: 144)
- Entry Threshold: Z-score level to trigger new positions (default: 1.5)
- Exit Threshold: Z-score level to close positions (default: 0.3)
FEATURES
✓ Vectorized backtesting engine
✓ Built-in parameter optimization
✓ Comprehensive performance metrics
✓ Visual analysis tools
✓ Position sizing with leverage support
RISK WARNING
This strategy:
- Assumes mean-reverting behavior in price ratios
- Does not guarantee future performance
- Uses leverage which amplifies both gains and losses
- Does not include transaction costs in base implementation
- Requires monitoring of correlation breakdown
RECOMMENDED USE
Best suited for pairs with:
- High historical correlation (>0.8)
- Similar market dynamics
- Sufficient liquidity
- Stable volatility patterns
Always backtest with realistic transaction costs and implement proper risk management including stop-losses and position limits.
DISCLAIMER
For educational purposes only. Past performance does not guarantee future results. Trade at your
ASC Trio Trader SignalASC Trio Trader Strategy — Description for TradingView
Short Description:
ASC Trio Trader is a powerful trading strategy combining Bollinger Band Breakouts with SuperOscillator trend confirmation to generate precise buy and sell signals. Ideal for traders seeking trend-following signals with reduced noise and clear entry/exit points.
Strategy Logic:
Bollinger Band Breakouts
Uses a configurable SMA (default 55) and standard deviation (default 1.0) to calculate upper, middle (basis), and lower bands.
Buy signal is considered when price closes above the upper band.
Sell signal is considered when price closes below the lower band.
SuperOscillator Confirmation
Trend momentum is confirmed using a SuperOscillator (green/red candles).
Buy signal triggers only when BB breakout + above middle line + green SuperOscillator.
Sell signal triggers only when BB breakout + below middle line + red SuperOscillator.
Signal Lock / Unlock Mechanism
Prevents repeated signals during strong trends.
Once a buy is triggered, the next buy will not occur until price closes below the middle line.
Once a sell is triggered, the next sell will not occur until price closes above the middle line.
Auto Exit
Positions are automatically closed when an opposite signal occurs.
Features:
One-click strategy: Ready for backtesting in TradingView.
Dynamic Bollinger Bands: Middle line changes color based on price relative to bands.
Visual signals: Clear buy (green) and sell (red) arrows plotted on chart.
Customizable inputs: SMA length, standard deviation multiplier, source, and backtest range.
Color-coded bars: Highlights market direction for easy trend identification.
Backtest window: Allows you to test the strategy over a custom date range.
Default Inputs:
Input Default
Source Close
SMA Length 55
Std Dev Multiplier 1.0
Color Bars True
Backtest Range 01-01-2018 to present
How to Use:
Add the strategy to any chart.
Use default inputs or customize SMA and Std Dev based on asset volatility.
Enter trades when arrows appear (green for buy, red for sell).
Monitor automatically managed exits or use additional risk management.
Notes:
Designed for trend-following markets; works best in volatile stocks, crypto, and commodities.
Not based on volume or fundamentals; consider using additional indicators for confirmation.
Always apply proper risk management.
ICT 7/8/9am lines NY session + 7.30/8.30/9.30 linesThis script show the 7, 8, 9 AM NY session lines, together with the 7.30, 8.30 and 9.30AM lines, like ICT teaches in the 2024 Mentorship, lesson 2.
Feel free to use it!
Look-back Value V1新增 MA10 與 MA120 的計算、繪圖、表格顯示。
新增 table_pos 參數,可選擇表格顯示位置(top_left, top_right, bottom_left, bottom_right)。
所有 table.cell 改用 具名參數 text_color,避免誤判成 width。
這樣你就能靈活選擇表格位置,並同時觀察 MA5、MA10、MA20、MA60、MA120、MA240 的扣抵分析。
Fixed Price Levels with Zones (1000 / 750 / 500 / 250)idywbdiawunadnaw oidnawidnawodnaw wadaw dawd awdaw
Weekly Market StructureWeekly Market Structure – HTF
1. Overview
Weekly Market Structure – HTF is an HTF-focused analytical indicator that visualizes weekly (Weekly) market structure and trade distribution (Volume / Footprint) using a virtual candle structure.
This indicator is not a buy/sell signal tool.
It is designed to help traders understand the current market context and, when combined with their own trading style, determine which directional bias is more favorable.
In other words, it is a context- and directional-analysis tool, intended to answer:
“What is the broader market environment right now, and which direction has the structural advantage?”
It focuses on structure and context, not execution signals.
2. Object (Display Method)
This indicator does not directly modify the actual chart candles.
To minimise clutter on the chart,
all information is displayed to the right of the candle in the form of a virtual candle.
(1) Virtual Candle
The weekly chart displays only the virtual candles for the current week and the previous week.
The daily chart displays only the daily, current week, and previous week's virtual candles.
Weekly market structure analysis must be verified on the weekly chart. Additional triggers occur exclusively within the weekly timeframe.
The highs and lows of the virtual candles correspond to the actual candle prices.
Therefore, price levels such as POC, VAH, and VAL can be directly referenced based on the virtual candles.
Price level lines such as POC are displayed as solid lines for the previous week and dotted lines for the current week.
(2) Week Footprint (POC / VAH / VAL)
Utilising Footprint data provided by TradingView,
the next levels based on weekly candles are automatically calculated and displayed.
POC (Point of Control)
VAH (Value Area High)
VAL (Value Area Low)
Both the previous week's (LW) and current week's (W) POC / VAH / VAL are displayed.
We judged it important to reference not only this week's levels but also the previous week's POC / VAH / VAL.
(3) Delta Score
The Delta value of Footprint data is
normalised and displayed within the range 1 to 100.
An intuitive scoring system is adopted instead of listing large numbers.
Positive Delta → Lime color
Negative Delta → Red color
Display format: D 1 to 100
Interpretation point examples
Weekly bearish candle + positive Delta
→ Declining but buy market orders dominate
→ Potential for upward movement / Acceptance possibility
Weekly bullish candle + negative Delta
→ Rising but sell market orders dominate
→ Distribution / Exhaustion possibility
(4) Volume Row (Price-Level Volume Concentration)
Each candle consists of multiple price rows.
This indicator divides the weekly candle's high–low range into the number of rows specified by the user. Since the concentrated sections remain identical regardless, using a custom value makes little difference.
Each row accumulates the lower timeframe (LTF) trading volume,
visualising the concentration of trading activity per price level as a gauge (bar).
It is recommended to view this on the weekly candle.
While it can be observed on lower timeframes, as the data is based on the weekly candle,
the frequency of row volume decreases as the timeframe becomes lower.
Reason
Weekly basis: Approximately 7 days' worth of data accumulated on a 1-hour LTF basis
Daily basis: 1 day's worth of data on a 1-hour LTF basis
Nevertheless, the maximum trading range (core levels) remains sufficiently valuable for reference even in lower timeframes.
Features
Highlighting of maximum trading range (green)
Ability to grasp relative volume distribution
Support for % display option (default OFF)
Interpretation Point Examples
Current Price
Positioned above the high volume gauge zone
→ Relatively high probability of upward movement
When breaking down from above the abundant zone or already positioned below
→ Reduced probability of upward movement, increased probability of downward movement
When the gauge is empty or within the scarce zone
→ Low liquidity
→ Zone of increased volatility
*For reference, last week's candle volume row is absent. (It appears messy.)
3. Who is it suitable for?
Traders who prioritize higher timeframe (HTF) structure
Traders who trade using a top-down approach from HTF to lower timeframe (LTF)
Traders who want to view both the weekly candle's directional bias and the area of concentrated trading activity
4. Final Notes
(1) This indicator is an analytical tool and does not provide buy or sell signals.
(2) All data, excluding the volume row, utilises TradingView's footprint data.
The volume row is based on cumulative volume data from lower timeframes.
(3) This tool has various potential applications depending on the user's approach, beyond the usage methods I have described.
This tool is not designed for a fixed analytical approach but to complement the user's existing trading style. Its usefulness may vary depending on the trader's level of experience.
(4) When applying replays, due to the code's characteristics, the object will only display if the forward button is pressed immediately after jumping to a past point.
(5) When the trend is extremely strong, analysis should be based on the trend direction. Nothing can beat the trend. Conduct analysis based on trend following.
(Do not seek support lines during the collapse phase after a distribution structure is complete)
(Do not attempt short positions at resistance lines during the primary ascent phase after an accumulation structure is complete)
(6) Indicator settings only include visual options such as object activation. Remove unnecessary objects according to your purpose.
Forex Hammer & Shooting Star ALERTSshooting STAR, Just leave me alone already i dont want to have to do this
HoneG_CCIv18HoneG_CCIv18
This is a signal tool capable of both counter-trend and trend-following trading. Apply it to 1-minute charts.
For trend-following, it features a rapid-fire mode. When conditions align, rapid-fire mode activates, and two indicators signaling the rapid-fire timing will turn ON/OFF in sync with price extension moments.
逆張りも順張りも出来るサインツールです。1分足チャートに適用してください。
順張りには連打モードがあり、条件が揃うと連打モードが発動し、連打タイミングを知らせる二か所の表示が、価格が伸びるタイミングに合わせてON/OFFします。
Key Opens & LevelsThis indicator plots key market reference levels used by active traders, including:
- Previous day high, previous day low, and previous day equilibrium
- Higher-timeframe opens (daily, weekly, monthly)
- Custom intraday opening prices (e.g. 06:00, 8:30, 9:30, 10:00, etc)
All levels are session-aware, candle-anchored, and non-repainting, designed to stay aligned with real market structure across timeframes.
📈 Available Opens and Levels
PDH / PDL / PD-EQ
- PDH/PDL aren’t placed at the midnight candle or the daily bar open. They’re anchored to the actual intraday candle that made the previous day’s high or low.
- Choose when your daily open starts: it can be 15:00 for forex, 18:00 for futures, midnight for ICT traders, etc.
Higher-Timeframe Opens (D / W / M)
- Daily Open
- Weekly Open
- Monthly Open
Custom Intraday Opening Prices (Up to 6)
Plot up to six customizable intraday opens, such as 6:00, 08:30, 09:30, etc.
🔥 Features
Dynamic Line Extension
All levels extend only as far as price prints, keeping the chart clean and context-aware.
Unified Styling & Clean UI
- Shared style and width controls where appropriate
- Inline inputs for fast configuration
- Label offset and font size controlled globally for consistency
⚙️ Inputs Overview
SETTINGS (Global)
Label Offset (bars to the right)
Label Font Size
PDH / PDL / PD-EQ
Show / Hide Levels
Show / Hide Labels
Daily Session Open
Line Style & Width
Individual colors for PDH, PDL, and PD-EQ
D / W / M Opens
Toggle Daily / Weekly / Monthly opens
Individual colors
Shared line style & width
Intraday Opens
Up to 6 custom opening times
Custom label text (defaults to time)
Individual colors per opening
Shared line style & width
🛡️ Non-Repainting
The indicator does not repaint.
Levels are locked in once the new session begins.
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex
🔍 Overview
DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation.
This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed.
It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency.
🧠 Strategy Logic (How It Works)
DkSPro follows a sequential decision process, not a single-indicator signal:
Trend Bias (EMA Structure)
A fast and slow EMA define the directional bias.
Long trades are only allowed during bullish EMA alignment.
Short trades are only allowed during bearish EMA alignment.
This prevents counter-trend and ranging-market entries.
Market Structure & Breakout Validation
The strategy identifies recent swing highs and lows.
Trades are triggered only after a confirmed breakout of structure, not during consolidation.
This avoids early entries and false momentum moves.
Volume Confirmation
Volume must exceed its moving average by a defined multiplier.
This ensures participation and filters out low-liquidity breakouts.
Volume thresholds adapt depending on the selected trading mode.
Momentum Confirmation (RSI)
RSI is used strictly as a momentum filter, not as a standalone signal.
It confirms that price movement aligns with the breakout direction.
Risk Management (Mandatory)
Every position includes a predefined Stop Loss and Take Profit.
Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits.
All conditions must align simultaneously; otherwise, no trade is executed.
⚙️ Trading Modes
SAFE Mode
Stronger volume and RSI thresholds
Fewer trades, higher selectivity
Designed for risk control and consistency
AGGRESSIVE Mode
Slightly relaxed filters
Higher trade frequency during strong momentum
Intended for experienced users only
📊 Markets & Assets
This strategy has been actively used and tested on:
🟢 Crypto (Binance / Binance.US)
SOL-USDT
XRP-USDT
Other high-liquidity pairs (BTC, ETH)
Crypto mode benefits from stronger volume confirmation to adapt to higher volatility.
🔵 Forex
Major pairs such as EURUSD, GBPUSD, USDJPY
Optimized for liquid markets with lower relative volume
The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class.
⏱ Recommended Timeframes
Crypto: 5m – 15m
Forex: 15m – 1H
Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior.
🧪 Backtesting & Settings Transparency
Default strategy properties are intentionally conservative to reflect realistic conditions:
Initial capital: $20,000
Position size: 2% of equity
Commission: 0.08%
Slippage: 1 tick
Fixed Stop Loss and Take Profit on every trade
Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades).
📈 Originality & Usefulness
DkSPro is not a simple indicator mashup.
Each component serves a specific role in a layered confirmation system:
EMAs define direction
Structure defines timing
Volume validates participation
RSI confirms momentum
Risk management controls exposure
Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator.
⚠️ Important Notes
This script is an analysis and execution tool, not financial advice.
Market conditions change, and no strategy performs well in all environments.
Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance.
🧩 Version Notice
This publication represents a consolidated and refined version of an internal experimental script.
No parallel or duplicate versions are intended.
All future improvements will be released exclusively using TradingView’s Update feature.
🇪🇸 Descripción en Español (Resumen)
DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo.
Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar.
Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
Order Blocks & S/R [GILDEX]GILDEX – Order Block & Support / Resistance Indicator
This indicator is developed by GILDEX, combining Order Blocks with Support & Resistance to identify high-probability trading zones.
Key Features
• Blue Order Blocks: Potential BUY zones
• Red Order Blocks: Potential SELL zones
• Cyan lines: Support levels
• Red lines: Resistance levels
Order Blocks highlight areas where strong institutional buying or selling previously occurred.
Support and Resistance are used to refine entries within the Order Block for improved precision and risk control.
Designed mainly for intraday trading, especially on the 5-minute timeframe, where most Order Blocks range between 30–50 pips.
Layered (scaled) entries are recommended, as price may react at the edge of the Order Block or deeper inside the zone.
This indicator focuses on market structure and price reaction, not prediction.
Lune Institutional Analysis Premium⬛️ Overview
Lune Institutional Analysis is a comprehensive suite of institutional-grade tools designed to visualize market liquidity and volume dynamics. By utilizing volume clustering and delta analysis, this indicator provides traders with a professional perspective on market activity, highlighting areas where significant volume concentrations occur. It is designed to complement strategies such as SMC (Smart Money Concepts) and ICT (Inner Circle Trader) by providing a data-driven layer of institutional context.
Distinguished by its real-time, non-repainting calculations, Lune Institutional Analysis aims to bridge the gap between retail price action and volume-based institutional data, helping traders identify potential "smart money" footprints.
🟦 Features
Lune Institutional Analysis equips traders with an array of sophisticated features:
🔹 Liquidity Bubbles: This feature visualizes significant volume spikes and concentrations based on volume delta and point of control (POC) analysis within each candle. It identifies imbalances where buy or sell volume significantly outweighs the other. It supports two modes: Regular Bubbles and Trapped Liquidity Bubbles. Trapped Liquidity Bubbles are designed to identify potential "liquidity traps" where price moves sharply against a high-volume area. The Adaptive Transparency feature dynamically adjusts bubble visibility based on the relative volume significance.
🔹 Liquidity Waves: Liquidity Waves track market movements through advanced volume spread analysis, showing the ebb and flow of market interest. By analyzing volume delta patterns, this tool helps traders visualize the momentum of liquidity as it enters or exits the market. It includes sensitivity controls and adaptive transparency to highlight the most significant wave patterns.
🔹 Accumulation/Distribution: The Accumulation/Distribution tool automatically detects and highlights professional accumulation and distribution zones. These zones identify where institutional players are likely building or offloading positions, providing crucial context for potential trend reversals or continuations.
🔹 AI Volume Candles: This feature reimagines price action by integrating volume delta directly into candle visualization. It includes Volume Delta Zones and Net Volume Lines to pinpoint where the most significant trading activity is occurring within each bar. By highlighting volume concentrations, AI Volume Candles reveal the internal strength or weakness of price moves that standard candles might hide.
🔹 AI Liquidation Levels: This tool identifies potential liquidation zones by analyzing historical volume clusters and price pivots. These levels represent areas where a high volume of orders was previously executed, often serving as magnets for price (draw on liquidity) or significant areas of interest for ICT-style analysis. The indicator uses a normalization algorithm to represent volume concentration through dynamic width and adaptive transparency.
🔹 AI Heat Map: The AI Heat Map provides a historical volume distribution visualization, color-coding zones based on net volume delta or directional bias. This reveals the "memory" of the market and where historical interest remains, allowing traders to see significant support and resistance levels formed by historical volume concentrations.
🔹 AI Volume Profile: This sophisticated butterfly-style profile displays both total volume and buy/sell delta distribution. It automatically identifies AI Key Levels (significant volume nodes) that serve as institutional support and resistance. The profile offers deep insights into where value is being perceived by major market participants.
These features and tools collectively offer a comprehensive solution for traders to understand and navigate the financial markets. It's important to remember that they are designed to assist in making informed trading decisions and should be used as part of a balanced trading strategy.
🟧 Usage
Lune Institutional Analysis's unique feature set can be leveraged both individually and synergistically. It is important to understand each feature and experiment with different configurations to best suit your unique trading needs.
🔸 Example #1: The following example demonstrates how Trapped Liquidity Bubbles and AI Liquidation Levels can be used together to identify potential reversal points.
Trapped Liquidity Bubbles highlight areas where market participants may be positioned against a sharp move, while AI Liquidation Levels show historical volume clusters where those positions might face pressure. When a bearish Trapped Liquidity Bubble appears near an AI Liquidation level, it can serve as a confluence signal for a potential price reaction.
🔸 Example #2: This example shows how the AI Volume Profile and AI Heat Map can be used to identify areas of significant interest and volume exhaustion.
The AI Volume Profile's key levels represent nodes of high historical volume. When price approaches an AI Heat Map zone that aligns with a high-volume node, it provides a stronger confirmation of a potential support or resistance area. Observing price reaction at these combined levels can help traders gauge whether a trend is likely to continue or exhaust.
🔸 Example #3: This example demonstrates how AI Volume Candles can be used to confirm trend strength or identify potential absorption.
By using Volume Delta Zones within the AI Volume Candles, traders can see if a breakout is supported by strong directional volume. If price breaks a resistance level but the AI Volume Candles show a high concentration of bearish delta (absorption), it may indicate a fakeout. Conversely, strong bullish delta zones during an uptrend confirm institutional participation in the move.
🟥 Conclusion
Lune Institutional Analysis provides a data-centric bridge between retail analysis and institutional-grade volume data. By offering clear visualizations of liquidity, volume delta, and significant volume clusters, it allows traders to look beyond standard price action and understand the underlying volume dynamics. This suite is built for practitioners of SMC and ICT who require an objective, volume-based confirmation for their setups.
🔻 Access
You can see the Author's instructions below to get instant access to this indicator & our Premium Suite.
🔻 Disclaimer
Lune Institutional Analysis is a tool for aiding in market analysis and is not a guarantee of future market performance or individual trading success. We strongly recommend that users combine our tool with their trading strategies and do their due diligence before making any trading decisions.
Remember, past performance is not indicative of future results. Please trade responsibly.
Session OpensThis Indicator Draws Session open labels for Asia Session-New York Session-London Session with Optional Alerts.
Buy and Sell Signals (Heiken Ashi)This indicator displays Buy And Sell Signals With Alerts based on custom conditions derived from Heiken Ashi candles.
Week High/LowThis indicator plots the Previous Week High and Low as two horizontal dashed lines.
It is designed to appear only on the Daily (D) and Weekly (W) timeframes, ensuring a clean higher-timeframe context without lower-timeframe noise.
The levels are calculated from the completed weekly candle and automatically update at the start of each new week.
These levels serve as weekly liquidity references, commonly used to assess premium/discount zones, potential stop-run areas, and higher-timeframe market reactions.
Smart Scalper Pro Template + VWAP + FVG Invite-Only Trading Script
Private Access • Risk-First • Discipline-Driven
🔐 Access Tiers
Lifetime Access — $999
(Limited to 25 total seats)
One-time payment
Full script access
All future updates included
Priority support & early feature access
Locked pricing — never increases
Once lifetime seats are filled, this tier is permanently closed.
Level 2 Access — $199
Advanced Risk & Confirmation Module
Higher-confidence trade filters
Enhanced risk controls & lockout logic
Advanced session and volatility filters
Designed for experienced, disciplined traders
Reduces over-trading and low-quality setups
Level 2 is feature-based, not cosmetic — it adds stricter trade qualification.
Subscription Access — $99 / month
Core strategy framework
Risk-managed trade logic
Ongoing updates while subscribed
Ideal for evaluation or short-term usage
Subscription does not include Level 2 advanced filters.
📌 Author
Garry Evans
Independent system developer focused on:
Risk-first automation
Market structure & liquidity behavior
Discipline, consistency, and capital preservation
“The edge isn’t the market — it’s the man who survives it.”
⚙️ Risk Management & Position Sizing
The script is built around capital protection, not signal frequency.
Risk logic includes:
Fixed or dynamic risk per trade
Market-adaptive position sizing
Session-based trade limits
Daily trade caps and auto-lockout protection
Volatility-aware sizing (futures & crypto)
⚠️ Profit is pursued only after risk is controlled.
📊 Track Record
Backtested across multiple market environments
Forward-tested and actively used by the author
Real-account trades are logged where platform rules allow
Results vary by market, timeframe, and user-defined risk settings.
🌍 Supported Markets
Designed to work across all liquid markets, including:
Stocks
Crypto (spot & futures)
Options (signal-based framework)
Futures (indices, metals, crypto futures)
The system adapts to volatility and structure — it is not market-specific.
⚖️ Leverage
Leverage is not required
If used, leverage is fully user-controlled
Risk logic scales exposure conservatively
No martingale.
No revenge sizing.
No over-exposure logic.
🧪 Backtesting
✔ Yes
Strategy logic has been backtested
Filters reduce chop, noise, and forced trades
Focus on drawdown control over curve-fitting
🛠 Support
✔ Yes
Direct author support
Ongoing improvements and updates
Feature refinement based on real usage and feedback
👥 Community
✔ Yes
Private user access
High-quality feedback environment
No public signal spam or hype-driven chat rooms
⏳ Trial Period
✔ Yes
Limited trial access available
Designed for evaluation only
Trial users do not receive full feature access
🚫 Who This Script Is NOT For
This system is not for:
Traders looking for guaranteed profits
Users expecting copy-paste “signal calls”
Over-leveraged gamblers
Those unwilling to follow risk rules
Anyone seeking overnight results
This is a discipline and automation tool, not a shortcut.
🧠 Final Positioning
This is not a signal service.
This is a risk-controlled execution framework designed to:
Enforce discipline
Reduce emotional trading
Protect capital during bad market conditions
Scale responsibly during favorable ones
NY Open Edge (NQ only)📊 NY Open Edge - Session Direction Predictor
Predict NY session direction using backtested Asia-London pattern analysis
Based on 5 years of data (2021-2025, 1,283 trading days), this indicator analyzes overnight session relationships to predict
which direction the New York session will likely move first.
🎯 What It Does
Tracks Asia (8pm-2am ET) and London (2am-8am ET) session ranges, then at NY open (8am ET) it:
1. Classifies the pattern - How London interacted with Asia range
2. Checks NY open position - Above or below London midpoint
3. Displays probabilities - Statistical edge for high/low sweeps based on historical data
4 Pattern Types
- P1 - London Engulfs Asia: London range contains Asia range
- P2 - Asia Engulfs London: Asia range contains London range
- P3 - Partial Up (Bullish): London breaks above Asia high only
- P4 - Partial Down (Bearish): London breaks below Asia low only
💡 How To Use
Reading the Dashboard
The indicator displays:
- Pattern - Which of the 4 patterns occurred
- NY Open Position - ABOVE or BELOW London midpoint
- First High Sweep % - Probability of taking highs first
- First Low Sweep % - Probability of taking lows first
- Median Penetration - Typical point movement
- Failure Rate - How often both sides get swept (choppy sessions)
- Tier Classification - Reliability (Tier 1 = Best, Tier 3 = Risky)
- Sample Size - Historical occurrences
⚙️ Settings
- Display Options - Toggle session boxes, midlines, and dashboard
- Colors - Customize session colors and transparency
- Dashboard Theme - Dark (for dark charts) or Light (for light charts)
- Max Sessions - Memory management (10-150 sessions)
- Timezone - Default America/New_York (DST-aware)
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📋 Best Practices
✅ Is designed for NQ only!
✅ Use 5m-15m timeframes for clear session definitions
✅ Combine with your own analysis - this is a probability tool
✅ Focus on Tier 1 setups for highest win rates
✅ Respect the failure rate - high percentages suggest choppy sessions
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⚠️ RISK DISCLAIMER
THIS INDICATOR IS FOR EDUCATIONAL AND INFORMATIONAL PURPOSES ONLY
- NOT financial advice - Do not trade based solely on this indicator
- Past performance does not guarantee future results - Historical statistics may not reflect future market behavior
- Trading involves substantial risk of loss - Only trade with capital you can afford to lose
- Use proper risk management - Always use stop losses and appropriate position sizing
- Backtest limitations - Results based on historical data that may not repeat
- No guarantees - Probabilities are not certainties; markets can behave unpredictably
You are solely responsible for your trading decisions and outcomes.
DayTradeMind Combined High Win Rate StrategyThe DayTradeMind Combined High Win Rate Strategy is a trend-following system that relies on confluence—the idea that a trade signal is stronger when multiple independent indicators agree. Instead of entering on a single indicator's whim, it uses a "voting" system to qualify entries and a strict risk-to-reward ratio to manage exits.Here is a breakdown of the three main layers of this strategy:1. The Voting Engine (Confluence Model)The strategy tracks four indicators and assigns a "point" for a bullish or bearish bias. It requires a minimum number of points (set by minConfirmations, usually 2/4) before it even considers a trade.IndicatorBullish Condition (1 point)Bearish Condition (1 point)PurposeMACDMACD Line > Signal LineMACD Line < Signal LineMeasures short-term momentum.DonchianPrice > 20-period MedianPrice < 20-period MedianIdentifies price relative to recent range.SuperTrendPrice above trend linePrice below trend lineFilters for the "Macro" trend direction.%B (Bollinger)Price in lower-mid range (0.2–0.5)Price in upper-mid range (0.5–0.8)Prevents buying when overextended.2. The Entry TriggerHaving enough "votes" (confirmations) isn't enough to enter. The strategy waits for a trigger event to ensure you aren't entering a stale trend. An entry only occurs if the minimum confirmations are met AND one of the following happens on the current bar:MACD Cross: The MACD line crosses over the signal line.Structural Break: The price crosses over the Donchian Middle (Median) line.This "Confirmation + Trigger" approach is designed to catch the start of a momentum push rather than buying a flat market.3. Mathematical Risk ManagementThe performance you see in your backtest (like the 46.86% return) is largely driven by the 2:1 Reward-to-Risk (RR) Ratio.Stop Loss (SL): Fixed at 2% below entry.Take Profit (TP): Fixed at 4% above entry.By aiming for a target twice as large as the risk, the strategy can remain profitable even with a win rate as low as 35%–40%. Mathematically, your winning trades compensate for more than two losing trades.Visualizing the SystemTriangles: Small green (up) and red (down) triangles appear on your chart only when the Votes + Trigger align perfectly.Background Shading: Faint green or red bands show you exactly when the "Confluence" is active. If the background is gray, the indicators are in conflict.Dashboard: The table in the top-right summarizes the current "score" for each indicator, letting you know how close you are to a potential trade signal.






















