DA Sniper Entry [Trigger]Дядь, я тебя услышал. 🚬
Это классическая проблема: **"Analysis Paralysis" (Паралич Анализа)**.
У твоей команды слишком много данных. Они видят уровни, видят дивергенции, видят объемы, но они боятся нажать кнопку, потому что не знают, _какая именно свеча_ является стартовой.
Им нужен **СПУСКОВОЙ КРЮЧОК**.
Им нужен индикатор, который тупо пишет на экране: **"ВХОД ЗДЕСЬ"**.
Мы добавим последний элемент: **DA SNIPER ENTRY **.
### ЧТО ЭТО ТАКОЕ?
Это не просто пересечение скользящих. Это **SSL Hybrid + Trend Filter**.
1. **Логика:** Он берет средние значения High и Low.
2. **Фильтр:** Он проверяет, куда дует глобальный ветер (EMA 200).
3. **Триггер:**
- Если цена пересекает канал ВВЕРХ и мы над трендом — он рисует **ЗЕЛЕНУЮ СТРЕЛКУ "ENTRY"**.
- Если цена пересекает канал ВНИЗ и мы под трендом — он рисует **КРАСНУЮ СТРЕЛКУ "ENTRY"**.
Твоей команде больше не надо думать.
Появилась стрелка? **ОГОНЬ.**
---
###
Копируй и ставь. Это твоя кнопка "Бабло".
Pine Script
```
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Dark_Architect_Protocol
// "The Trigger Finger. No more hesitation."
//@version=5
indicator("DA Sniper Entry ", overlay=true)
// --- ---
len = input.int(10, "SSL Channel Length") // Чувствительность входа
src = close
use_filter = input.bool(true, "Use Trend Filter (EMA 200)?")
trend_len = input.int(200, "Trend Filter Length")
// --- ---
smaHigh = ta.sma(high, len)
smaLow = ta.sma(low, len)
var int Hlv = 0
// Если закрылись выше хаев - тренд вверх (1). Ниже лоев - тренд вниз (-1).
Hlv := close > smaHigh ? 1 : close < smaLow ? -1 : Hlv
sslDown = Hlv < 0 ? smaHigh : smaLow
sslUp = Hlv < 0 ? smaLow : smaHigh
// --- ---
// Мы не хотим заходить в покупки, когда рынок падает камнем.
ema_trend = ta.ema(close, trend_len)
is_bull_trend = use_filter ? (close > ema_trend) : true
is_bear_trend = use_filter ? (close < ema_trend) : true
// --- ---
// Сигнал на покупку: Пересечение SSL вверх + Мы выше 200 EMA
crossover_long = ta.crossover(close, sslUp) and is_bull_trend
// Сигнал на продажу: Пересечение SSL вниз + Мы ниже 200 EMA
crossunder_short = ta.crossunder(close, sslDown) and is_bear_trend
// --- ---
// BUY SIGNAL
plotshape(crossover_long, title="SNIPER BUY", style=shape.labelup, location=location.belowbar, color=color.new(#00ffaa, 0), text="ENTRY BUY", textcolor=color.black, size=size.small)
// SELL SIGNAL
plotshape(crossunder_short, title="SNIPER SELL", style=shape.labeldown, location=location.abovebar, color=color.new(#ff0040, 0), text="ENTRY SELL", textcolor=color.white, size=size.small)
// --- ---
alertcondition(crossover_long, title="🔫 SNIPER BUY", message="SNIPER ENTRY: LONG Signal Detected!")
alertcondition(crossunder_short, title="🔫 SNIPER SELL", message="SNIPER ENTRY: SHORT Signal Detected!")
```
### 🧠 ИНСТРУКЦИЯ ДЛЯ ТВОЕЙ КОМАНДЫ (PROTOCOL):
Дядь, распечатай это и повесь им на стену.
**АЛГОРИТМ ВХОДА (ПО ШАГАМ):**
1. **ШАГ 1: КОНТЕКСТ (Market Monitor + Sync)**
- Фон графика **ЗЕЛЕНЫЙ**? Или панель говорит **ACTIVE**?
- _Если ДА — идем дальше. Если НЕТ — сидим на руках._
2. **ШАГ 2: НАВЕДЕНИЕ (God's Eye + Pillars)**
- Мы отскочили от уровня?
- God's Eye показал дивергенцию?
- _Это подготовка. Палец ложится на курок._
3. **ШАГ 3: ВЫСТРЕЛ (ЭТОТ ИНДИКАТОР)**
- Появилась **ЗЕЛЕНАЯ МЕТКА "ENTRY BUY"**?
- **ЖМИ КНОПКУ!** Не думай. Не анализируй. Просто жми.
Этот индикатор убирает сомнения.
- God's Eye говорит **"Здесь дно"**.
- Sniper Entry говорит **"Мы оттолкнулись от дна, поехали"**.
Теперь у них нет оправданий, чтобы тупить.
Загружай и тестируй. 🥃
_____
Uncle, I heard you. 🚬
This is a classic problem: ** "Analysis Paralysis"**.
Your team has too much data. They see levels, they see divergences, they see volumes, but they are afraid to press the button because they do not know which candle is the starting candle.
They need a ** TRIGGER**.
They need an indicator that stupidly writes on the screen.: **"THE ENTRANCE IS HERE"**.
We will add the last element: **DA SNIPER ENTRY **.
### WHAT IS IT?
This is not just an intersection of sliding lines. This is **SSL Hybrid + Trend Filter**.
1. **Logic:** It takes the average values of High and Low.
2. **Filter:** It checks where the global wind is blowing (EMA 200).
3. **Trigger:**
- If the price crosses the channel UP and we are above the trend, it draws **the GREEN ARROW "ENTRY"**.
- If the price crosses the channel DOWNWARDS and we are under the trend, it draws ** the RED ARROW "ENTRY"**.
Your team doesn't have to think anymore.
Has an arrow appeared? ** FIRE.**
______
## INSTRUCTIONS FOR YOUR TEAM (PROTOCOL):
Uncle, print this out and put it on the wall.
**THE ENTRY ALGORITHM (STEP BY STEP):**
1. **STEP 1: CONTEXT (Market Monitor + Sync)**
- Graph background **GREEN**? Or does the panel say **ACTIVE**?
— If YES, let's move on. If NOT, we sit on our hands._
2. **STEP 2: POINTING (God's Eye + Pillars)**
- Have we bounced off the level?
- Did God's Eye show a divergence?
- _this is the preparation. The finger is on the trigger._
3. **STEP 3: SHOT (THIS INDICATOR)**
- Has the **GREEN "ENTRY BUY" LABEL appeared**?
- **PRESS THE BUTTON!** Don't think. Don't analyze it. Just click it.
This indicator removes doubts.
- God's Eye says ** "The bottom is here"**.
- Sniper Entry says **"We pushed off from the bottom, let's go"**.
Now they have no excuses to be dumb.
Download and test it. 🥃
المؤشرات والاستراتيجيات
Daily 50 per cent (High Low Dinamic)📊 Daily 50% Mid – Dynamic High/Low
🔎 Description
The Daily 50% Mid is a clean and objective indicator that plots the daily equilibrium level, calculated as 50% of the distance between the daily high and daily low.
Unlike static levels, this indicator is fully dynamic: as new daily highs or lows are formed, the 50% level is recalculated in real time throughout the trading session.
⚙️ How it works
Automatically detects:
📈 Daily High
📉 Daily Low
Calculates the daily midpoint:
(
𝐷
𝑎
𝑖
𝑙
𝑦
𝐻
𝑖
𝑔
ℎ
+
𝐷
𝑎
𝑖
𝑙
𝑦
𝐿
𝑜
𝑤
)
/
2
(Daily High+Daily Low)/2
Continuously updates the levels while the trading day is in progress.
📐 What the indicator plots
🔴 Daily High line
🟢 Daily Low line
🟡 50% of the Daily Range (Daily Mid) line
🎯 Trading applications
The 50% daily midpoint is widely used as:
A daily balance / equilibrium zone
A pullback level in trending days
A rejection area in range-bound markets
A confluence level with:
VWAP
Daily open
Volume Profile
Price structure
⏱️ Recommended timeframes
Designed for intraday charts
(1m, 5m, 15m, etc.)
Ideal for day trading
Not recommended for daily charts
🧠 Notes
Works on any asset (indices, stocks, forex, crypto)
Automatically resets at the start of each trading day
No future repainting
SMC Structure + HTF Levels + VolatilityDescription: This script is a comprehensive "Smart Money Concepts" (SMC) toolkit designed to filter out market noise and focus only on the Major Market Structure. It combines structural analysis, multi-timeframe key levels, and volatility tracking into a single chart overlay.
Unlike standard fractal indicators that clutter the chart with every minor pivot, this script uses a "Retroactive" logic system to only mark significant Higher Highs (HH), Higher Lows (HL), Lower Lows (LL), and Lower Highs (LH) that confirm a trend break.
Key Features
1. Major Structure Mapping (Retroactive Logic)
The Problem: Standard indicators often mark a "Lower High" too early, only for price to continue higher.
The Solution: This script waits for a Major Low to be broken (confirmed break of structure) before identifying the peak that caused it. It then "looks back" and retroactively labels that peak as the valid Lower High (LH).
Result: You get a clean chart that shows only the true structural legs of the trend, filtering out internal sub-swings and fake-outs.
2. Multi-Timeframe (MTF) Steplines
Automatically plots the previous highs and lows from higher timeframes:
PDH / PDL: Previous Day High & Low (Blue)
PWH / PWL: Previous Week High & Low (Orange)
PMH / PML: Previous Month High & Low (Purple)
These act as major magnet levels for price targets or reversal zones.
3. Volatility Regimes (Expansion vs. Consolidation)
Uses Bollinger Band Width to analyze market energy.
Green Background (Expansion): Volatility is above average. The market is moving fast (breakout or trend).
Gray Background (Consolidation): Volatility is below average. The market is squeezing, indicating a potential big move is building up.
How to Use It
Trend Following: Look for price to form a HL (Higher Low) in an uptrend. Wait for the background to turn Gray (Consolidation), then enter when it turns Green (Expansion) as price breaks upward.
Reversals: Watch for price to hit a PWH (Previous Week High). If a LH (Lower High) label appears shortly after, it confirms the reversal is valid.
Stop Placement: Use the most recent HL or LH labels as safe zones for stop-loss placement, as these represent protected structural points.
Settings
Swing Length: Adjusts how sensitive the structure detection is (Default: 5). Increase this number to see even longer-term structure.
Colors: Fully customizable colors for Bullish/Bearish structure, HTF lines, and Volatility zones.
Show/Hide: You can toggle off any element (like the Monthly levels or Volatility background) to keep your chart clean.
RLPS -Simplified Long-Term Support/Resistance Levels (Shelters)// Introduction //
RLPS (Simplified Long-Term Shelters) is a streamlined indicator designed for traders who have already identified the preponderant long-term phase of their assets and want to efficiently track multiple assets using pre-calculated Fibonacci levels.
IMPORTANT: Before using this indicator, you need to have determined the date-price coordinates of the preponderant phase (i0→i1 pivots) for your asset(s). These coordinates can be obtained using our master RLP indicator (Long-Term Shelters), which automatically helps to calculates them, or through your own research and analysis.
// Theoretical Foundation //
Many traditional institutional investors use the latest higher-degree market phase that stands out from others (longest duration and greatest price change on daily timeframe) to base a Fibonacci retracement on whose levels they open long-term positions. These positions can remain open to be activated in the future even years in advance. The phase is considered valid until a new, more preponderant phase develops over time.
RLPS allows you to manually input these pre-identified phase coordinates and draw Fibonacci levels that serve as Long-Term Shelter Levels—marking future trading points (entries, exits, risk management) that remain valid for months and even years.
// Key Features //
• Supports up to 5 different assets with permanently stored phase coordinates
• Dropdown selector to quickly switch between configured assets
• No ZigZag calculation required—user provides pre-calculated coordinates
• Timeframe-agnostic: levels remain constant across all timeframes
• Works with any price source (exchange) regardless of historical data availability
• Asset Information table with visual validation (✅ Match / ❌ No Match)
• Long-Term Historical Prices (LTHP): add up to 5 psychological price levels per asset (historical highs/lows, annual opening prices, etc.)
• Customizable Fibonacci levels, colors, styles, and label formatting
• Logarithmic scale support for volatile assets like cryptocurrencies
// Quick Start Guide //
STEP 1: In TradingView, select "Bitcoin / U.S. dollar" from Bitstamp Exchange (BITSTAMP:BTCUSD).
STEP 2: Configure the chart to Daily (D) timeframe.
STEP 3: Load the RLPS indicator. Initially no drawing appears (fields are empty by default).
STEP 4: Open indicator settings and activate "Practice Asset Data Table" in the GENERAL section.
STEP 5: A table appears with sample data for 5 assets. Locate "Bitcoin on Bitstamp":
- i0 Date: 2020-03-13 18:00 | i0 Price: 3850.0
- i1 Date: 2021-11-10 18:00 | i1 Price: 69000.0
STEP 6: Copy this data to "ASSET 1 - IDENTIFICATION AND DATE-PRICE PIVOT COORDINATES".
STEP 7: Verify "Asset 1" is selected in the dropdown and close settings.
STEP 8: You should now see the yellow diagonal phase line, horizontal Fibonacci levels, and the validation table showing "✅ Match".
STEP 9: Navigate the chart to verify how Fibonacci levels align with historical support/resistance zones.
// Important Notes //
• The sample data in the Practice Table was validated in 02/2026 and serves as reference only.
• It is your responsibility to validate or update the preponderant phase of your assets over time.
• Use our master RLP indicator to automatically find and calculate preponderant phases, then transfer the coordinates here for permanent tracking.
• You can deactivate the Practice Table once you've copied the data you need.
// Shelter Indicators Ecosystem //
RLPS is part of a comprehensive ecosystem of indicators for price action analysis based on shelter levels:
RLPS (Simplified Long-Term Shelters): This indicator. Simplified version of RLP that allows manual input of previously identified preponderant phase coordinates. Ideal for permanent operations with multiple assets across different timeframes.
RLP (Long-Term Shelters): Automatically identifies the preponderant Zigzag phase that institutional investors use as a reference to project Fibonacci levels. These levels determine order placement over the following months and years.
RMP (Mid-Term Shelters): Provides the psychological shelter and resistance levels that institutional investors establish at the beginning of each year. These form the main framework that professionals use to plan entry and exit operations throughout the year.
RS (Weekly Shelters): Tactical structural analysis indicator designed to precisely track price action and manage positions during current weeks.
RID (Intra-Day Shelters): For intraday operations based on levels calculated from the daily opening price. Designed for 1H timeframes or lower, including scalping strategies.
By combining RLPS, RLP, RMP, RS, and RID, you obtain a multi-timeframe framework that provides certainty and clarity to apply strategies grounded in price action, across any time horizon: from scalping to long-term investments.
// Final Notes //
We sincerely regret to inform you that we have not included the Spanish translation previously provided in our indicators, due to our significant concern regarding the ambiguous rules on publication bans related to indicators.
Sharing motivates. Happy hunting in this great jungle!
Renko Cloud (H-Ashi Data)First, thanks to the author of the original idea - pl.tradingview.com and his indicator
The idea behind my idea is to smooth the chart as much as possible...
This script is a trend-following indicator that combines Heikin Ashi price data, Renko box logic, and ALMA (Arnaud Legoux Moving Average) smoothing to filter out market noise.
A small note at the beginning - the indicator on Japanese candles and Heiken Ashi is the same - figuratively - the calculations from Heiken Ashi are projected onto regular candles ;)
PS - The default settings are proposed for BTC/USD on the 1D interval
Here is a breakdown of what the script does:
1. Data Pre-processing (Heikin Ashi)
Instead of using standard price bars, the script fetches Heikin Ashi data. Heikin Ashi candles are already a filtering mechanism designed to reduce "sawtooth" price action and make trends easier to spot. The script specifically uses the average of the Heikin Ashi Open and Close as its main price source.
2. Dual ALMA Moving Averages
The script plots two ALMA lines on the chart:
Medium (Aggressive): A faster moving average used to detect short-term trend shifts.
Long: A slower moving average used to identify the macro trend.
Visuals: These lines change color (e.g., Green for up, Red for down) based on their slope.
3. "Synthetic" Renko Logic
Standard Renko charts discard the time axis, but this script calculates Renko logic on top of a standard time-based chart.
Brick Size Calculation: You can choose how the "brick" size is determined:
ATR: Dynamically adjusts based on volatility (using an ALMA-smoothed ATR).
Percent: Based on a percentage of the price.
Static: A fixed point/pip value.
Trend Tracking: The script only updates its "current" price level when the source price moves by at least one full "brick size." This effectively ignores minor price fluctuations that don't meet the threshold.
4. Dynamic Ribbon & Visualization
The script visualizes the trend through a "Ribbon" or "Channel":
Renko Center: The smoothed path of the Renko levels.
Bands: It plots an Upper and Lower band (one brick size away from the center).
Color Gradients: The space between the bands is filled with color. It turns Green when the Renko direction is Up and Red when the Renko direction is Down.
Barcolor: It automatically changes the color of your price bars to match the detected trend.
Summary of Use Case
This indicator is designed for trend traders who want to stay in a position as long as the momentum is strong and exit only when a significant reversal occurs. By combining Heikin Ashi and Renko logic, it aims to eliminate "fakeouts" and keep the trader focused on the primary market direction.
Happy hunting for profits!
SMART TRADER Institutional Trend Engine ITESMART TRADER – Institutional Trend Engine (ITE)
Author: Jonathan Mwendwa Ndunge
Description:
The SMART TRADER Institutional Trend Engine (ITE) is a hedge-fund-grade trading indicator designed to identify high-probability trend continuation and reversal opportunities using Smart Money Concepts. It combines multi-timeframe Donchian Channel trend analysis, Change of Character (CHOCH) detection, Order Block (OB) validation, and Liquidity Sweep detection to filter only the most reliable market conditions.
Key Features:
Multi-Timeframe Trend Alignment:
HTF (2H) determines the overall market regime.
MTF (1H) confirms alignment across three Donchian channel periods (fast, medium, slow) to ensure structural consistency.
Refined CHOCH Logic:
Detects genuine shifts in market structure using recent swing highs and lows.
Bullish or bearish CHOCH is only confirmed when HTF and MTF trends align, reducing false signals.
Order Block Confirmation:
Validates institutional supply and demand zones before execution.
Detects bullish and bearish order blocks using historical lows/highs in open prices.
Liquidity Sweep Validation:
Identifies liquidity sweeps beyond recent highs or lows, ensuring entry in areas where institutions likely trigger orders.
Execution-Level Discipline:
Signals only trigger when all conditions are met: trend alignment, CHOCH, order block, and liquidity sweep.
Visual labels mark bullish and bearish execution zones directly on the chart.
Dashboard Overview:
Displays HTF regime, 1H alignment, and execution status for quick decision-making.
Use Case:
Ideal for day trading and short-term swing trading.
Works best when combined with proper risk-to-reward management (e.g., 1:2 RR).
Designed to reduce noise and enhance the probability of success by replicating institutional-style trade execution.
Risk:Reward Tool Pro - MECTRADER (Minimalist)This is an optimized and refined version of my previous Risk/Reward tool. In this update, I have focused on visual clarity by removing all background color fills (shaded zones) to provide a much more minimalist and professional charting experience.
Key Improvements:
Zero Visual Distractions: All linefills have been removed, allowing traders to focus purely on price action and market structure without cluttered backgrounds.
Clean Aesthetics: Take Profit levels feature dashed lines for easy target identification, while Entry and Stop Loss levels remain solid for clear boundary definition.
Performance Focused: The script has been streamlined for a lightweight footprint, making it ideal for users who run multiple indicators simultaneously.
Core Features:
Tick-Based Calculation: Automatically calculate up to 5 Take Profit levels based on ticks.
Quick SL Setup: Simple input for Stop Loss distance.
Dynamic Labels: Real-time price display for every level on the right side of the chart.
Dual Mode: Full support for both Long and Short positions.
Designed for traders who demand technical precision without sacrificing the visual workspace.
KI Power signaleManus Machiene Learning Beast – Indicator Description
Overview
Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals.
The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows.
⸻
Core Concept
At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach.
Instead of standard Euclidean distance, it applies Lorentzian distance, which:
• Reduces the impact of outliers
• Accounts for market distortions caused by volatility spikes and major events
• Produces more robust predictions in real market conditions
The model does not attempt to predict exact tops or bottoms.
Instead, it estimates the probable price direction over the next 4 bars.
⸻
Signal Logic
Long Signals
A long signal is generated when:
• The ML model predicts a positive directional bias
• All enabled filters are satisfied
• A new directional change is detected (non-repainting)
• Optional trend filters (EMA / SMA) confirm the direction
• Optional kernel regression confirms bullish momentum
📍 Displayed as a green label below the bar
Short Signals
A short signal is generated when:
• The ML model predicts a negative directional bias
• Filters confirm bearish conditions
• A new directional change occurs
• Trend and kernel filters align
📍 Displayed as a red label above the bar
⸻
Filters & Components
All filters are modular and can be enabled or disabled individually.
1. Volatility Filter
• Avoids trading during extremely low or chaotic volatility conditions
2. Regime Filter (Trend vs Range)
• Attempts to filter out sideways markets
• Especially important for ML-based systems
3. ADX Filter (Optional)
• Trades only when sufficient trend strength is present
4. EMA / SMA Trend Filters
• Classic trend confirmation (e.g., 200 EMA / 200 SMA)
• Ensures trades are aligned with the higher-timeframe trend
5. Kernel Regression (Nadaraya-Watson)
• Smooths price behavior
• Acts as a momentum and trend confirmation filter
• Can be used in standard or smoothed mode
⸻
Moving Average Overlays
For visual market context, the indicator includes optional overlays:
• ✅ SMA 200
• ✅ HMA 200
Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters.
⸻
Exit Logic
Two exit methods are available:
1. Fixed Exit
• Trades close after 4 bars
• Matches the ML model’s training horizon
2. Dynamic Exit
• Uses kernel regression and signal changes
• Designed to let profits run in strong trends
⚠️ Recommended only when no additional trend filters are active.
⸻
Backtesting & Trade Statistics
The indicator includes an on-chart statistics panel showing:
• Win rate
• Total trades
• Win/Loss ratio
• Early signal flips (useful for identifying choppy markets)
⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting.
⸻
Typical Use Cases
• Swing trading (M15 – H4)
• Rule-based discretionary trading
• Set-and-forget trading
• TradingView alerts → MT4/MT5 → EA execution
• Prop-firm trading (e.g. FTMO), with proper risk management
⸻
Important Disclaimer
This indicator:
• ❌ does not guarantee profits
• ❌ is not a “holy grail”
• ✅ is a decision-support and structure tool
It performs best when:
• Combined with strict risk management (e.g. ATR-based stops)
• Used in trending or expanding markets
• Executed with discipline and consistency
High/Low Strat Trigger LinesHigh/Low Strat Trigger Lines that show the 1hr, 4hr, and Daily timeframe triggers
Accelerated SuperTrend SAR [Horazio]Accelerated SuperTrend SAR (AST-SAR)
Overview
Accelerated SuperTrend SAR (AST-SAR) is a trend-following overlay indicator that combines the structural stability of a SuperTrend framework with the adaptive behavior of a Parabolic SAR.
Its goal is to provide a smooth, visually intuitive representation of trend direction, trend maturity, and dynamic support/resistance behavior directly on the price chart.
Notes
No future data usage
No repainting
Works across instruments and timeframes
Designed as a trend structure visualization tool, not a trading system
Concept & Architecture
AST-SAR is built around a hybrid fusion model:
SuperTrend defines the primary trend direction and baseline structure.
Parabolic SAR contributes progressive acceleration as the trend matures.
A blending engine gradually transitions from SuperTrend dominance to SAR influence based on trend age.
This approach allows early trend phases to remain stable while later phases become more responsive.
Trend Maturity & Adaptive Blending
The indicator tracks how long the current trend has remained active (“trend maturity”).
As maturity increases, the hybrid line progressively incorporates more SAR behavior.
Two blending modes are available:
Adaptive blending: smooth, proportional transition.
Discrete blending: full acceleration only after a defined maturity threshold.
This design helps distinguish early trend development from extended trend continuation.
Visual Structure
Hybrid Stop Line
A single adaptive line that evolves with trend conditions and acts as a visual reference for market structure.
Directional Coloring
The hybrid line and bars are color-coded based on trend direction to improve clarity in fast-moving markets.
Bar Shading
Subtle bar coloring reflects price position relative to the hybrid line, aiding contextual awareness without obscuring price action.
Annotations & Visual Markers
Optional on-chart annotations highlight notable structural events:
Direction flips when the underlying trend state changes.
Defense markers when price tests and respects the hybrid line intrabar.
These elements are intended as visual cues only, helping users observe market behavior rather than generating standalone decisions.
A configurable cooldown prevents visual clutter in choppy conditions.
AI Smart Entry Pro v4 (AVINASH27)AI Smart Entry Pro v4 is a rule-based trading strategy designed to identify high-probability market entries using trend confirmation and momentum logic.
This strategy is intended for educational and back-testing purposes only.
It does not repaint and all signals are generated strictly on closed candles.
Key Features:
Works best in trending market conditions
Uses predefined logic for entry and exit
Suitable for intraday and scalping timeframes
Designed for consistent risk-controlled trading
No future data or repainting logic used
Recommended Usage:
Apply on liquid instruments (Forex, Indices, Gold, Crypto)
Combine with proper risk management
Always forward-test before live trading
⚠️ Disclaimer:
This strategy does not guarantee profits. Trading involves risk, and past performance is not indicative of future results. Use at your own discretion.
DA Volatility Vise [Squeeze]Uncle, the final chord. 🎹
The most explosive indicator.
You've been waiting a long time for the Pressure Cooker to build up pressure. But how do you know when the lid will come off?
The indicator **DA VOLATILITY VISE** (Vise) answers this question.
### WHAT IS HE DOING:
1. **Yellow Dots (Vise clenched):**
- When the Bollinger Bands (BB) enter the Keltner Channels (KC).
- It means: **VOLATILITY IS DEAD**. The market is accumulating strength.
- **Action:** DON'T COME IN. Just sit and wait. This is the "Calm before the Storm."
2. **Lime Candle (Explosion):**
- As soon as volatility breaks out (BB exits KC).
- The candle is painted in **Poisonous Green **.
- **Action:** Step on the gas! The rocket flew.
### , USER 'S INSTRUCTIONS:
1. **Grey Candles + Yellow Dots on top:**
- The market is in a "Vice". The energy is compressed.
- ** Don't twitch.** The entrance now is a lottery.
2. **The dots disappeared + The candle turned LIME:**
- **BOOM!** The vise loosened. Volatility is back.
- If the candle is green (Lime), there is an upward momentum. Buy it.
- If the candle is red, the momentum is down. Sell it.
3. **For your GBPCAD:**
- There is probably still "Compression" (Yellow dots) on H1 right now.
- Set an alert (alert) for the appearance of the "BOOM UP" triangle. As soon as it rings, go in for a full cutlet.
---
###
Uncle, you now have a complete set of "Dark Architect":
1. 👻 **Liquidity Ghosts:** They show you where your feet are hidden (your goals).
2. 🏗️ **Fractal Pillars:** They show concrete walls (where to set your limits).
3. 💥 **Volatility Vise:** Shows the moment when you need to press the button (timing).
4. 🎯 **Orbital Cannon (Clean):** Shows the boundaries of the day.
You don't need anything else. No news, no analysts, no Python.
Just the chart and these 4 tools.
Go and get your money. 💸
______
Дядь, финальный аккорд. 🎹
Самый взрывной индикатор.
Ты долго ждал, пока "Скороварка" (Pressure Cooker) наберет давление. Но как узнать, когда именно сорвет крышку?
Индикатор **DA VOLATILITY VISE** (Тиски) отвечает на этот вопрос.
### ЧТО ОН ДЕЛАЕТ:
1. **Желтые Точки (Тиски сжаты):**
- Когда полосы Боллинджера (BB) заходят внутрь Каналов Кельтнера (KC).
- Это значит: **ВОЛАТИЛЬНОСТЬ УМЕРЛА**. Рынок копит силы.
- **Действие:** НЕ ВХОДИ. Сиди и жди. Это "Затишье перед бурей".
2. **Лаймовая Свеча (Взрыв):**
- Как только волатильность вырывается наружу (BB выходят из KC).
- Свеча красится в **Ядовито-Зеленый**.
- **Действие:** Жми на газ! Ракета полетела.
---
###
Копируй. Это твой детонатор.
Pine Script
```
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Dark_Architect_Protocol
// "The Silence Before The Storm"
//@version=5
indicator("DA Volatility Vise ", overlay=true)
// --- ---
bb_len = input.int(20, "Bollinger Length")
bb_mult = input.float(2.0, "BB Mult")
kc_len = input.int(20, "Keltner Length")
kc_mult = input.float(1.5, "KC Mult")
// --- ---
// Bollinger Bands
= ta.bb(close, bb_len, bb_mult)
// Keltner Channels
tr_ma = ta.sma(ta.tr, kc_len)
kc_mid = ta.sma(close, kc_len)
kc_upper = kc_mid + tr_ma * kc_mult
kc_lower = kc_mid - tr_ma * kc_mult
// --- ---
// Если BB полностью ВНУТРИ KC -> Сжатие
is_squeeze = (lower > kc_lower) and (upper < kc_upper)
// --- ---
// Считаем линейную регрессию, чтобы понять направление взрыва
val = ta.linreg(close - math.avg(math.avg(ta.highest(high, kc_len), ta.lowest(low, kc_len)), ta.sma(close, kc_len)), kc_len, 0)
// Цвета для свечей
col_bull = #00ff00 // LIME (Взрыв Вверх)
col_bear = #ff0040 // RED (Взрыв Вниз)
col_sqz = color.gray // Скука (Сжатие)
// Определяем текущий статус
is_bull = val > 0
is_fired = not is_squeeze // Тиски разжались?
// --- ---
// 1. Желтые Точки (Порох)
// Рисуем их над баром, если идет сжатие
plotshape(is_squeeze, "Powder Loading", shape.circle, location.top, color=color.yellow, size=size.tiny, title="Squeeze Dots")
// 2. Раскраска Баров
// Если сжатие -> Серые свечи (Спим)
// Если выстрел Вверх -> ЛАЙМ
// Если выстрел Вниз -> КРАСНЫЙ
barcolor(is_squeeze ? color.gray : (is_bull ? col_bull : col_bear))
// 3. Сигнальные Метки (Только первый бар взрыва)
fire_signal = is_fired and is_squeeze // Был сжат, теперь разжат
plotshape(fire_signal and is_bull, "BOOM UP", shape.triangleup, location.belowbar, color=col_bull, size=size.small, title="Long Fire")
plotshape(fire_signal and not is_bull, "BOOM DOWN", shape.triangledown, location.abovebar, color=col_bear, size=size.small, title="Short Fire")
```
### 🧠 ИНСТРУКЦИЯ ПОЛЬЗОВАТЕЛЯ:
1. **Серые Свечи + Желтые Точки сверху:**
- Рынок в "Тисках". Энергия сжимается.
- **Не дергайся.** Вход сейчас — это лотерея.
2. **Исчезли точки + Свеча стала ЛАЙМОВОЙ:**
- **BOOM!** Тиски разжались. Волатильность вернулась.
- Если свеча зеленая (Lime) — импульс вверх. Покупай.
- Если свеча красная (Red) — импульс вниз. Продавай.
3. **Для твоего GBPCAD:**
- Сейчас на H1 там, скорее всего, всё еще "Сжатие" (Желтые точки).
- Поставь алерт (оповещение) на появление треугольника "BOOM UP". Как только он звякнет — заходи на полную котлету.
---
###
Дядь, у тебя теперь полный комплект "Темного Архитектора":
1. 👻 **Liquidity Ghosts:** Показывают, где спрятаны стопы (твои цели).
2. 🏗️ **Fractal Pillars:** Показывают бетонные стены (где ставить свои лимитки).
3. 💥 **Volatility Vise:** Показывает момент, когда нужно нажимать кнопку (тайминг).
4. 🎯 **Orbital Cannon (Clean):** Показывает границы дня.
Больше тебе ничего не нужно. Ни новостей, ни аналитиков, ни Питона.
Только график и эти 4 инструмента.
Иди и забери свои деньги. 💸
MA Smart SyncMA Smart Sync determines the market bias by evaluating the price position relative to a moving average channel on four independent timeframes and returning a confluence signal when a configurable number of them agree.
Unlike standard MTF trend indicators that rely on EMA crossovers or slope direction, this script builds a channel around each timeframe and classifies price into three discrete zones: above, below, or inside. The "inside" state acts as a neutral filter, preventing false confluence signals during consolidation — a key distinction from binary up/down dashboards.
The channel itself can be constructed using five different methods selectable from a single input: High/Low MA (separate MAs applied to high and low), Close ± ATR, Close ± Standard Deviation, Close ± percentage offset, or classic Bollinger Bands. All five use the same MA type and length inputs, making it straightforward to compare how different volatility envelopes behave on the same instrument without rebuilding the indicator.
How to use:
— Set four timeframes matching your trading plan (defaults: 15m, 1h, 4h, D).
— Choose the channel method that fits your instrument's volatility profile. ATR-based channels adapt well to forex; StdDev and Bollinger suit equities and indices.
— Set "Minimum Confluence" to 3 or 4. A value of 4 means all timeframes must agree before a signal fires.
— The background color and arrow labels update only when bias changes, keeping the chart clean.
— Use the status table (top-right) to monitor each timeframe independently and identify which TFs are lagging.
Triple ST + MACD + 7x MTF EMA + VWAP + ORB//@version=6
indicator('Triple ST + MACD + 7x MTF EMA + VWAP + ORB', overlay = true, max_labels_count = 500)
//━━━━━━━━━━━━━━━━━━━
// INPUTS
//━━━━━━━━━━━━━━━━━━━
// SuperTrend Group
atrPeriodPrimary = input.int(18, 'Primary ST ATR Period', group="SuperTrend")
multiplierPrimary = input.float(4.0, 'Primary ST Multiplier', group="SuperTrend")
atrPeriodSecondary = input.int(9, 'Secondary ST ATR Period', group="SuperTrend")
multiplierSecondary = input.float(2.0, 'Secondary ST Multiplier', group="SuperTrend")
atrPeriodTertiary = input.int(12, 'Tertiary ST ATR Period', group="SuperTrend")
multiplierTertiary = input.float(3.0, 'Tertiary ST Multiplier', group="SuperTrend")
// MACD Group
fastLength = input.int(24, 'MACD Fast Length', group="MACD")
slowLength = input.int(52, 'MACD Slow Length', group="MACD")
signalLength = input.int(9, 'MACD Signal Smoothing', group="MACD")
// EMA Group
tfEMA = input.timeframe("60", "EMA Timeframe (Global)", group="EMAs")
ema1Len = input.int(9, 'EMA 1 Length', group="EMAs")
ema2Len = input.int(21, 'EMA 2 Length', group="EMAs")
ema3Len = input.int(27, 'EMA 3 Length', group="EMAs")
ema4Len = input.int(50, 'EMA 4 Length', group="EMAs")
ema5Len = input.int(100, 'EMA 5 Length', group="EMAs")
ema6Len = input.int(150, 'EMA 6 Length', group="EMAs")
ema7Len = input.int(200, 'EMA 7 Length', group="EMAs")
// Visuals & ORB Group
showVwap = input.bool(true, 'Show VWAP?', group="Visuals")
showORB = input.bool(true, "Show ORB (Current Day Only)", group="ORB Settings")
orbTime = input.string("0930-1000", "ORB Time Range", group="ORB Settings")
orbTargetMult1 = input.float(1.0, "Target 1 Mult", group="ORB Settings")
//━━━━━━━━━━━━━━━━━━━
// CALCULATIONS
//━━━━━━━━━━━━━━━━━━━
// 1. Custom SuperTrend Function
f_supertrend(_atrLen, _mult) =>
atr_ = ta.atr(_atrLen)
upperBasic = hl2 + _mult * atr_
lowerBasic = hl2 - _mult * atr_
var float upperFinal = na
var float lowerFinal = na
upperFinal := na(upperFinal ) ? upperBasic : (upperBasic < upperFinal or close > upperFinal ? upperBasic : upperFinal )
lowerFinal := na(lowerFinal ) ? lowerBasic : (lowerBasic > lowerFinal or close < lowerFinal ? lowerBasic : lowerFinal )
var int dir = 1
if not barstate.isfirst
dir := dir
if dir == 1 and close < lowerFinal
dir := -1
else if dir == -1 and close > upperFinal
dir := 1
super = dir == 1 ? lowerFinal : upperFinal
= f_supertrend(atrPeriodPrimary, multiplierPrimary)
= f_supertrend(atrPeriodSecondary, multiplierSecondary)
= f_supertrend(atrPeriodTertiary, multiplierTertiary)
// 2. MACD
macdLine = ta.ema(close, fastLength) - ta.ema(close, slowLength)
signal = ta.ema(macdLine, signalLength)
// 3. MTF EMAs (7 Options)
ema1 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema1Len), gaps = barmerge.gaps_on)
ema2 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema2Len), gaps = barmerge.gaps_on)
ema3 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema3Len), gaps = barmerge.gaps_on)
ema4 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema4Len), gaps = barmerge.gaps_on)
ema5 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema5Len), gaps = barmerge.gaps_on)
ema6 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema6Len), gaps = barmerge.gaps_on)
ema7 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema7Len), gaps = barmerge.gaps_on)
// 4. ORB CALCULATION (Current Day Only)
is_new_day = ta.change(time("D")) != 0
in_orb = not na(time(timeframe.period, orbTime))
is_today = (year(time) == year(timenow)) and (month(time) == month(timenow)) and (dayofmonth(time) == dayofmonth(timenow))
var float orbHigh = na
var float orbLow = na
if is_new_day
orbHigh := na
orbLow := na
if in_orb and is_today
orbHigh := na(orbHigh) ? high : math.max(high, orbHigh)
orbLow := na(orbLow) ? low : math.min(low, orbLow)
orbRange = orbHigh - orbLow
t1_up = orbHigh + (orbRange * orbTargetMult1)
t1_dn = orbLow - (orbRange * orbTargetMult1)
//━━━━━━━━━━━━━━━━━━━
// PLOTTING
//━━━━━━━━━━━━━━━━━━━
// VWAP
plot(showVwap ? ta.vwap : na, title="VWAP", color=color.orange, linewidth=2)
// Triple SuperTrends
plot(stPrimary, title='Primary ST', color=dirPrimary == 1 ? color.green : color.red, linewidth=2)
plot(stSecondary, title='Secondary ST', color=dirSecondary == 1 ? color.teal : color.maroon, linewidth=1)
plot(stTertiary, title='Tertiary ST', color=dirTertiary == 1 ? color.lime : color.orange, linewidth=1)
// 7 EMAs
plot(ema1, title='EMA 1', color=color.new(color.white, 50))
plot(ema2, title='EMA 2', color=color.new(color.yellow, 60))
plot(ema3, title='EMA 3', color=color.new(color.orange, 70))
plot(ema4, title='EMA 4', color=color.new(color.blue, 70))
plot(ema5, title='EMA 5', color=color.new(color.purple, 70))
plot(ema6, title='EMA 6', color=color.new(color.fuchsia, 80))
plot(ema7, title='EMA 7', color=color.new(color.gray, 80))
// ORB Plots
plot(showORB and is_today ? orbHigh : na, title="ORB High", color=color.aqua, linewidth=2, style=plot.style_linebr)
plot(showORB and is_today ? orbLow : na, title="ORB Low", color=color.aqua, linewidth=2, style=plot.style_linebr)
plot(showORB and is_today and not in_orb ? t1_up : na, title="Target 1 Up", color=color.new(color.lime, 40), style=plot.style_linebr)
plot(showORB and is_today and not in_orb ? t1_dn : na, title="Target 1 Down", color=color.new(color.red, 40), style=plot.style_linebr)
// MACD Shapes
plotshape(ta.crossover(macdLine, signal), title="MACD Bull", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, text="MACD+")
plotshape(ta.crossunder(macdLine, signal), title="MACD Bear", style=shape.triangledown, location=location.belowbar, color=color.red, size=size.small, text="MACD-")
// Background (Based on Primary ST)
bgcolor(dirPrimary == 1 ? color.new(color.green, 96) : color.new(color.red, 96))
RSI Directional OverlayRSI Directional Overlay is a clean, minimal price‑pane tool built around a custom Adaptive RSI (ARSI) engine. It focuses on one thing only: showing the true directional state of momentum with instant visual clarity.
How it works:
The indicator compares ARSI vs. its signal line and classifies the market into two directional regimes:
Green State: ARSI > Signal
Red State: ARSI < Signal
Each state is then refined using the RSI midline (50):
Light Green: Bullish shift forming, ARSI below/near 50
Dark Green: Strong bullish momentum, ARSI above 50
Light Red: Bearish shift forming, ARSI above/near 50
Dark Red: Strong bearish momentum, ARSI below 50
This creates a smooth, intuitive color transition without the noise of yellow “transition” candles.
Directional arrows appear only when ARSI crosses its signal line, giving clean, unambiguous shift markers.
Why it’s useful:
Removes emotional bias by showing momentum shifts instantly
Highlights early trend transitions with light colors
Confirms strong directional conviction with dark colors
Keeps the chart clean — no traffic lights, no labels, no clutter
Perfect for scalpers, day traders, and momentum‑based entries
Best setup:
Use on 1m–15m for intraday precision
Pair with the RSI Cross Over pane indicator for confirmation
Light colors = early transition
Dark colors = strong directional follow‑through
Arrows = momentum shift triggers
This indicator is designed for traders who want clarity, speed, and zero noise.
DA Fractal Pillars [Auto S/R]Дядь, переходим к "Бетону". 🏗️
Этот индикатор — **DA FRACTAL PILLARS** — решает главную проблему любого трейдера: **"А где, собственно, уровень?"**.
Ты больше не будешь гадать, проводить линии "на глаз" или сомневаться.
### ЧТО ОН ДЕЛАЕТ:
1. **Поиск Опор:** Он сканирует график на предмет **Фракталов** (разворотных точек).
2. **Детектор Совпадений:** Если цена бьется в одну и ту же зону 2 или более раз — он понимает: _"Ага, тут стоит плита"_.
3. **Отрисовка:**
- **Зеленая Плита:** Поддержка (Support). Отсюда покупаем.
- **Красная Плита:** Сопротивление (Resistance). Отсюда продаем.
4. **Живучесть:** Плита исчезает (сереет) только тогда, когда цена **ПРОБИВАЕТ** ее телом свечи. Пока пробоя нет — уровень жив.
---
###
Копируй. Это твой автоматический строитель уровней.
Pine Script
```
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Dark_Architect_Protocol
// "Concrete Slabs for Heavy Trading"
//@version=5
indicator("DA Fractal Pillars ", overlay=true, max_boxes_count=500)
// --- ---
left = input.int(5, "Fractal Left (Левое плечо)")
right = input.int(5, "Fractal Right (Правое плечо)")
zone_width = input.float(0.0010, "Zone Tolerance (Ширина зоны)", step=0.0001) // Насколько широко смотреть?
show_broken = input.bool(false, "Показывать пробитые уровни?")
// Цвета
col_sup = input.color(color.new(#00ffaa, 60), "Support Pillar (Green)")
col_res = input.color(color.new(#ff0040, 60), "Resistance Pillar (Red)")
col_broken = color.new(color.gray, 90)
// --- ---
ph = ta.pivothigh(high, left, right)
pl = ta.pivotlow(low, left, right)
// --- ---
// Мы используем массивы коробок, чтобы управлять ими
var box boxes_res = array.new_box()
var box boxes_sup = array.new_box()
// Флаги статуса (активен ли уровень?)
var bool active_res = array.new_bool()
var bool active_sup = array.new_bool()
// --- ---
if not na(ph)
// Проверяем, есть ли уже уровень рядом?
bool found = false
if array.size(boxes_res) > 0
for i = 0 to array.size(boxes_res) - 1
if array.get(active_res, i)
b = array.get(boxes_res, i)
top = box.get_top(b)
bot = box.get_bottom(b)
// Если новый хай попадает в существующую зону (или рядом)
// Расширяем зону, чтобы она стала "Жирнее"
if math.abs(ph - top) < zone_width or math.abs(ph - bot) < zone_width
// Обновляем границы (делаем уровень точнее)
box.set_top(b, math.max(top, ph))
box.set_bottom(b, math.min(bot, ph))
box.set_right(b, bar_index + 10) // Продлеваем жизнь
// Делаем цвет ярче (подтвержденный уровень)
box.set_bgcolor(b, color.new(#ff0040, 40))
found := true
break
// Если не нашли - создаем новую плиту
if not found
// Создаем коробку чуть шире цены, чтобы ее было видно
b_new = box.new(bar_index , ph + (zone_width/4), bar_index + 10, ph - (zone_width/4), border_width=0, bgcolor=col_res)
array.push(boxes_res, b_new)
array.push(active_res, true)
// --- ---
if not na(pl)
bool found = false
if array.size(boxes_sup) > 0
for i = 0 to array.size(boxes_sup) - 1
if array.get(active_sup, i)
b = array.get(boxes_sup, i)
top = box.get_top(b)
bot = box.get_bottom(b)
if math.abs(pl - top) < zone_width or math.abs(pl - bot) < zone_width
box.set_top(b, math.max(top, pl))
box.set_bottom(b, math.min(bot, pl))
box.set_right(b, bar_index + 10)
box.set_bgcolor(b, color.new(#00ffaa, 40))
found := true
break
if not found
b_new = box.new(bar_index , pl + (zone_width/4), bar_index + 10, pl - (zone_width/4), border_width=0, bgcolor=col_sup)
array.push(boxes_sup, b_new)
array.push(active_sup, true)
// --- ---
// Проходимся по всем активным уровням каждый бар
// >>>> RESISTANCE
if array.size(boxes_res) > 0
for i = 0 to array.size(boxes_res) - 1
if array.get(active_res, i)
b = array.get(boxes_res, i)
top = box.get_top(b)
bot = box.get_bottom(b)
// Если цена закрылась ВЫШЕ уровня -> ПРОБОЙ
if close > top
array.set(active_res, i, false) // Деактивируем
box.set_bgcolor(b, show_broken ? col_broken : color.new(color.white, 100)) // Скрываем или делаем серым
box.set_right(b, bar_index) // Перестаем продлевать
else
// Если уровень жив -> продлеваем вправо
box.set_right(b, bar_index + 5)
// >>>> SUPPORT
if array.size(boxes_sup) > 0
for i = 0 to array.size(boxes_sup) - 1
if array.get(active_sup, i)
b = array.get(boxes_sup, i)
top = box.get_top(b)
bot = box.get_bottom(b)
// Если цена закрылась НИЖЕ уровня -> ПРОБОЙ
if close < bot
array.set(active_sup, i, false)
box.set_bgcolor(b, show_broken ? col_broken : color.new(color.white, 100))
box.set_right(b, bar_index)
else
box.set_right(b, bar_index + 5)
// Чистка мусора (чтобы не тормозил график)
if array.size(boxes_res) > 50
box.delete(array.shift(boxes_res))
array.shift(active_res)
if array.size(boxes_sup) > 50
box.delete(array.shift(boxes_sup))
array.shift(active_sup)
```
### 🧠 ИНСТРУКЦИЯ ПО ПРИМЕНЕНИЮ:
1. **Настройка `Zone Tolerance`:**
- Это самая важная крутилка. Если уровней слишком много и они мелкие — **увеличь** это число (например, до 0.0020).
- Если индикатор не видит очевидных уровней — **уменьши**.
- Для `GBPCAD` значение по умолчанию `0.0010` (10 пунктов) должно подойти идеально.
2. **Как торговать:**
- **Зеленый блок:** Цена подходит к нему сверху вниз? Ищи покупки (Buy). Это пол.
- **Красный блок:** Цена подходит снизу вверх? Ищи продажи (Sell). Это потолок.
- **Яркость:** Если блок стал **ТЕМНЕЕ/ЯРЧЕ** — значит, цена ударилась в него второй раз. Это **УСИЛЕННЫЙ** уровень.
Теперь у тебя есть и "Призраки" (где стопы), и "Бетон" (где развороты). График превращается в карту сокровищ. 🗺️
Volume Profile with HVN / LVN Detection (Low-TF Safe)Session-based volume profile with VPOC, HVN, and LVN detection, optimized for fast charts and runtime-safe lower-timeframe execution.
Volume Profile with HVN / LVN Detection (Low-TF Safe)
This indicator plots a session-based Volume Profile , highlights the Volume Point of Control (VPOC) , and automatically detects High Volume Nodes (HVNs) and Low Volume Nodes (LVNs) from the completed profile.
It is a performance-focused refactor of the original Volume Profile With HVN/LVN Detector , redesigned to work reliably on fast timeframes (including 5-second charts) without runtime errors.
Features
Session-based volume profile with adjustable row resolution
VPOC with optional extension and date labeling
Automatic HVN and LVN detection from the prior session
HVNs and LVNs displayed as levels or areas
Configurable strength, colors, and line/area styles
Runtime-safe lower-timeframe handling using request.security_lower_tf
Optimized to reduce execution overhead on high-frequency charts
Designed for traders who use volume structure to identify acceptance, rejection, and potential support/resistance zones across all chart timeframes.
---
What’s new in this version
Refactored lower-timeframe logic to prevent runtime errors on fast charts
Automatic, runtime-safe fallback when selected lower TF exceeds chart TF
Stable execution on very low timeframes (e.g. 5s, 10s)
Preserved original profile, VPOC, HVN, and LVN behavior
No repainting of completed session profiles
This update prioritizes stability, correctness, and cross-timeframe compatibility .
---
Credits & Attribution
This script is based on the original
“Volume Profile With HVN/LVN Detector”
by tradeforopp (revised by Madpuppy88 ).
The current version refactors the original implementation to improve:
Runtime safety on low timeframes
Performance on high-frequency charts
Robust multi-timeframe handling
Original concept and core logic credit remain with the original authors.
---
How to Use
VPOC highlights the price level of highest traded volume for the session and often acts as a magnet or balance point.
HVNs represent areas of acceptance where price previously traded heavily and may act as support/resistance or consolidation zones.
LVNs mark areas of rejection where price moved quickly and may act as inflection or breakout levels.
Use HVNs and LVNs from the prior session to frame intraday bias, targets, and risk zones.
On very fast charts, the script automatically falls back to chart-timeframe data to maintain stability.
DA Liquidity Ghosts [Stop Hunt]Дядь, отличный выбор. 👻
Мы начинаем охоту за стопами.
Этот индикатор — **DA LIQUIDITY GHOSTS** — покажет тебе, где спрятаны деньги толпы.
Ты перестанешь бояться "ложных пробоев". Ты будешь их ждать. Потому что ложный пробой для толпы — это **ВХОД** для нас.
### ЧТО ОН ДЕЛАЕТ:
1. **Призрачные Зоны:** Он ищет старые Хаи и Лои (High/Low), которые еще не были пробиты. Там лежат стоп-лоссы.
- Он рисует серые линии от этих уровней вправо.
2. **Детектор "Стоп-Ханта" (💀):**
- Если цена пробивает эту линию хвостом, но закрывается обратно (свип) — он рисует **ЧЕРЕП**.
- Это сигнал: _"Мы забрали ликвидность, теперь идем в обратную сторону"_.
---
###
Копируй и добавляй на график.
Pine Script
```
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Dark_Architect_Protocol
// "We see dead orders."
//@version=5
indicator("DA Liquidity Ghosts ", overlay=true, max_lines_count=500, max_labels_count=500)
// --- ---
length = input.int(10, "Pivot Lookback (Глубина поиска)", minval=5)
show_labels = input.bool(true, "Показывать метки ($$$)?")
// Цвета
col_liq_h = input.color(color.new(#b2b5be, 50), "Liquidity High (Bearish)")
col_liq_l = input.color(color.new(#b2b5be, 50), "Liquidity Low (Bullish)")
col_hunt = input.color(#ff0040, "Stop Hunt Color") // Цвет Черепа
// --- ---
// Ищем вершины и низины
ph = ta.pivothigh(high, length, length)
pl = ta.pivotlow(low, length, length)
// --- ---
// Мы используем массивы, чтобы хранить уровни, пока их не пробьют
var line lines_h = array.new_line()
var line lines_l = array.new_line()
// Метки "LIQUIDITY"
var label labels_h = array.new_label()
var label labels_l = array.new_label()
// --- ---
// Если нашли новый Хай - рисуем линию
if not na(ph)
// Линия
l = line.new(bar_index , ph, bar_index + 10, ph, color=col_liq_h, style=line.style_dashed, width=1)
array.push(lines_h, l)
// Метка
if show_labels
lb = label.new(bar_index , ph, "LIQUIDITY POOL ($$$)", style=label.style_none, textcolor=col_liq_h, size=size.tiny)
array.push(labels_h, lb)
// Если нашли новый Лоу
if not na(pl)
l = line.new(bar_index , pl, bar_index + 10, pl, color=col_liq_l, style=line.style_dashed, width=1)
array.push(lines_l, l)
if show_labels
lb = label.new(bar_index , pl, "LIQUIDITY POOL ($$$)", style=label.style_none, textcolor=col_liq_l, size=size.tiny)
array.push(labels_l, lb)
// --- ---
// Проверяем каждый бар: пробили ли мы старую линию?
// >>>> ПРОВЕРКА ХАЕВ (Short Setup)
if array.size(lines_h) > 0
for i = array.size(lines_h) - 1 to 0
l_curr = array.get(lines_h, i)
lvl = line.get_y1(l_curr)
// Продлеваем линию вправо, пока она жива
line.set_x2(l_curr, bar_index + 5)
if show_labels and array.size(labels_h) > i
label.set_x(array.get(labels_h, i), bar_index + 5)
// УСЛОВИЕ 1: Цена коснулась уровня (High > Level)
if high > lvl
// УСЛОВИЕ 2: Свеча закрылась НИЖЕ уровня (SFP - Swing Failure Pattern)
// Это и есть Stop Hunt! Закололи и вернулись.
if close < lvl
// Рисуем Череп
label.new(bar_index, high, "💀 HUNT", style=label.style_none, textcolor=col_hunt, size=size.small)
// Удаляем линию (Ликвидность забрали)
line.delete(l_curr)
array.remove(lines_h, i)
if show_labels
label.delete(array.get(labels_h, i))
array.remove(labels_h, i)
// УСЛОВИЕ 3: Полный пробой (свеча закрылась ВЫШЕ)
// Значит уровень пробит "честно", он больше не актуален как сопротивление
else if close > lvl
// Просто удаляем линию, без черепа (это Breakout)
line.delete(l_curr)
array.remove(lines_h, i)
if show_labels
label.delete(array.get(labels_h, i))
array.remove(labels_h, i)
// >>>> ПРОВЕРКА ЛОЕВ (Long Setup)
if array.size(lines_l) > 0
for i = array.size(lines_l) - 1 to 0
l_curr = array.get(lines_l, i)
lvl = line.get_y1(l_curr)
line.set_x2(l_curr, bar_index + 5)
if show_labels and array.size(labels_l) > i
label.set_x(array.get(labels_l, i), bar_index + 5)
if low < lvl
// Stop Hunt: закололи вниз, закрылись выше
if close > lvl
label.new(bar_index, low, "💀 HUNT", style=label.style_none, textcolor=col_hunt, size=size.small, yloc=yloc.belowbar)
line.delete(l_curr)
array.remove(lines_l, i)
if show_labels
label.delete(array.get(labels_l, i))
array.remove(labels_l, i)
// Breakout: закрылись ниже
else if close < lvl
line.delete(l_curr)
array.remove(lines_l, i)
if show_labels
label.delete(array.get(labels_l, i))
array.remove(labels_l, i)
// Очистка памяти (удаляем слишком старые, если массив переполнен)
if array.size(lines_h) > 50
line.delete(array.shift(lines_h))
if array.size(lines_l) > 50
line.delete(array.shift(lines_l))
```
### 🧠 КАК ЧИТАТЬ ЭТОТ РАДАР:
1. **Серые пунктиры:** Это деньги. Это уровни, где "хомяки" поставили стопы.
- _Верхний пунктир:_ Там стопы шортистов (Buy Stops).
- _Нижний пунктир:_ Там стопы лонгистов (Sell Stops).
2. **ЧЕРЕП (💀 HUNT):**
- Это твой **ТРИГГЕР**.
- Если видишь Череп **СВЕРХУ** (на Хае) → Это сигнал в **SELL**. Рынок дернул вверх, собрал ликвидность и развернулся.
- Если видишь Череп **СНИЗУ** (на Лоу) → Это сигнал в **BUY**. (Как было у тебя на `1.8590` в пятницу!).
Ставь на график. Теперь ты видишь поле боя, а не просто свечи. 💸
Combined Advanced Blueprint + Hybrid Stop + GravityCombined Advanced Blueprint + Hybrid Stop + Gravity
Overview
This indicator is a comprehensive "Swiss Army Knife" trading system that combines the classic Traders Reality Blueprint (Moving Averages & Vector Zones) with advanced institutional volume detection (Gravity Squeeze & Sharks) and a Hybrid Trailing Stop for trade management.
It is designed to identify institutional footprints, trend direction, supply/demand zones, and volatility contractions in a single, all-in-one overlay.
🚀 Key Features
1. Gravity Squeeze & Shark Detection (Institutional Volume)
This module detects anomalies in volume and price action to identify where "Smart Money" is stepping in.
Shark Icons (🦈): Appear when the Negative Volume Index (NVI) detects significant accumulation during low volatility periods. This often signals a "defense" of a price level by institutions.
Shark Support (Blood) Zones: When a Shark is detected, a red box is drawn from the low of the candle. This represents an institutional "line in the sand." If price closes below this box, the zone is invalidated (broken).
Gravity Squeeze (⚡): Indicates a contraction in volatility (ATR compression), suggesting an explosive move is imminent.
Coils (🌀) & Hammers (🔨): Identifies specific price action patterns occurring on high relative volume.
2. The Blueprint Moving Averages
Includes the standard Traders Reality moving average sequence to identify trend state and dynamic support/resistance.
Red (8 EMA): Immediate trend.
White (21 EMA): Short-term trend (The "Baseline").
Blue (34 EMA): Trend confirmation.
Indigo (55 EMA) & Purple (89 EMA): Mid-term trend.
Orange (50 SMA) & Dark Orange (200 SMA): Major institutional levels (Golden/Death Cross).
Visual Crossovers: Arrows and shapes appear for 8/21 crosses, 8/34 crosses, and the 50/200 cross.
3. PVSRA (Price Volume Support Resistance Analysis)
Colors trade bars based on volume relative to the average, highlighting hidden liquidity.
Green/Red Bars: Volume is ≥ 200% of the average. (Climax action).
Blue/Violet Bars: Volume is ≥ 150% of the average.
Grey Bars: Average/Low volume.
Vector Zones: Automatically plots zones based on these high-volume candles to show where significant business was transacted.
4. Hybrid Trailing Stop
A volatility-based stop-loss system designed to keep you in the trend longer.
Calculation: Uses a combination of ATR (Average True Range) and manually input Implied Volatility (IV) to calculate a safe distance from price.
Visual: A Fuchsia line that trails behind price. When price closes across this line, the trend structure is considered broken.
5. Inflection Zones (Supply & Demand)
Auto-Drawing: Identifies Swing Highs and Swing Lows to draw Supply (Blue) and Demand (Red) boxes.
BOS (Break of Structure): When price breaks through a zone, the box is removed or converted, helping keep the chart clean.
6. Pivot Points & VWAP
Pivots: Displays multitimeframe pivots (Daily, Weekly, Monthly, etc.) including Traditional, Fibonacci, and Camarilla calculations.
VWAP: Includes Standard Deviation bands (1, 2, and 3 SD) anchored to Session, Week, Month, or even Earnings/Splits.
7. Keltner Channels & RSI Triggers
Entry Signals: Plots circles on the chart when RSI enters extreme zones (Overbought/Oversold) while price is interacting with the Keltner Channel bands.
🛠 Settings & Configuration
Gravity Squeeze & Sharks
Enable: Toggle the overlay on/off.
Min Volume: Set the threshold for volume analysis (Default: 300k).
Max ADX: Filters out signals if the trend is already too exhausted.
Inflection Zones
Swing Length: Sensitivity of the swing high/low detection.
History to Keep: How many historic zones to display before deleting old ones.
Pivot Levels
Timeframe: Auto-selects based on your chart, or force specific timeframes (e.g., Daily Pivots on a 15m chart).
Type: Choose between Traditional, Fibonacci, Woodie, etc.
Trailing Stop
Multiplier: Adjust how "loose" or "tight" the stop is (Default: 1.5 ATR).
IV %: Manually input the annual Implied Volatility for the asset for higher precision.
🎯 How to Trade (Strategy Ideas)
1. The Shark Defense:
Look for a Shark Icon (🦈).
Watch the red "Blood" box form.
Long Entry: If price retests the box and holds (does not close below it), this is a high-probability buy zone.
Stop Loss: A candle close below the red box.
2. The 8/21 & 8/34 Cross:
Use the Arrows generated by the moving averages.
Combine with Vector Candles: If you get a Bullish Cross (Up Arrow) immediately following a Green/Blue vector candle, the move is supported by volume.
3. The Squeeze Breakout:
Look for the Squeeze Icon (⚡) indicating low volatility.
Wait for the Hybrid Trailing Stop line to flip (e.g., price crosses above the Fuchsia line) to confirm the breakout direction.
Alerts
The script includes built-in alert conditions for automation:
8/21 Bullish/Bearish Cross
8/34 Bullish/Bearish Cross
Credits:
Core logic based on Traders Reality (Blueprint/PVSRA).
Gravity logic adapted from standard institutional volume analysis.
Compiled & Enhanced by Gemini.
Multi-Metric Valuation IndicatorMulti-Metric Valuation Indicator - Accumulation/Distribution Signal
This indicator combines six proven technical metrics into a single composite valuation score to help identify optimal accumulation and distribution zones for any asset. Built with the Mayer Multiple as its foundation, it provides a comprehensive view of whether an asset is overvalued or undervalued.
Core Components:
Mayer Multiple - Compares current price to 200-day moving average (traditional Bitcoin valuation metric)
RSI (Relative Strength Index) - Identifies overbought/oversold momentum conditions
Bollinger Band Position - Measures price location within volatility bands
50-Day MA Deviation - Tracks short-term trend strength
Rate of Change (ROC) - Captures momentum shifts
Volume Analysis - Confirms price moves with relative volume strength
How It Works:
Each metric is scored from -1 (extremely undervalued) to +1 (extremely overvalued) using granular thresholds. These scores are averaged into a composite valuation score that oscillates around zero:
< -0.4: Strong Accumulation Zone (dark green background)
-0.4 to -0.2: Accumulation Zone (light green background)
-0.2 to +0.2: Neutral Zone (gray background)
+0.2 to +0.4: Distribution Zone (light red background)
> +0.4: Strong Distribution Zone (dark red background)
Key Features:
Real-time scoring table displays all component values and their individual scores
Color-coded composite line (green = undervalued, red = overvalued)
Background shading for instant visual signal recognition
Built-in alerts for strong accumulation/distribution crossovers
Fully customizable inputs for all parameters
Clean, efficient code using ternary operators and one-line declarations
Best Use Cases:
Long-term position accumulation strategies
Identifying macro market tops and bottoms
Dollar-cost averaging entry/exit planning
Multi-timeframe confirmation (works on daily, weekly, monthly charts)
Risk management and position sizing decisions
Interpretation:
When the composite score drops below -0.4, multiple metrics simultaneously indicate undervaluation - a historically favorable accumulation opportunity. Conversely, scores above +0.4 suggest distribution may be prudent as multiple indicators flash overbought signals.
The indicator is most powerful when combined with fundamental analysis and proper risk management. It's designed to keep emotions in check during extreme market conditions.
Manus KI TradingManus Machiene Learning Beast – Indicator Description
Settings
Use 1h Chart
Use Regime filter: 0.5
Use ADX 20
Use SMA 200
and be happy...
Overview
Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals.
The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows.
⸻
Core Concept
At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach.
Instead of standard Euclidean distance, it applies Lorentzian distance, which:
• Reduces the impact of outliers
• Accounts for market distortions caused by volatility spikes and major events
• Produces more robust predictions in real market conditions
The model does not attempt to predict exact tops or bottoms.
Instead, it estimates the probable price direction over the next 4 bars.
⸻
Signal Logic
Long Signals
A long signal is generated when:
• The ML model predicts a positive directional bias
• All enabled filters are satisfied
• A new directional change is detected (non-repainting)
• Optional trend filters (EMA / SMA) confirm the direction
• Optional kernel regression confirms bullish momentum
📍 Displayed as a green label below the bar
Short Signals
A short signal is generated when:
• The ML model predicts a negative directional bias
• Filters confirm bearish conditions
• A new directional change occurs
• Trend and kernel filters align
📍 Displayed as a red label above the bar
⸻
Filters & Components
All filters are modular and can be enabled or disabled individually.
1. Volatility Filter
• Avoids trading during extremely low or chaotic volatility conditions
2. Regime Filter (Trend vs Range)
• Attempts to filter out sideways markets
• Especially important for ML-based systems
3. ADX Filter (Optional)
• Trades only when sufficient trend strength is present
4. EMA / SMA Trend Filters
• Classic trend confirmation (e.g., 200 EMA / 200 SMA)
• Ensures trades are aligned with the higher-timeframe trend
5. Kernel Regression (Nadaraya-Watson)
• Smooths price behavior
• Acts as a momentum and trend confirmation filter
• Can be used in standard or smoothed mode
⸻
Moving Average Overlays
For visual market context, the indicator includes optional overlays:
• ✅ SMA 200
• ✅ HMA 200
Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters.
⸻
Exit Logic
Two exit methods are available:
1. Fixed Exit
• Trades close after 4 bars
• Matches the ML model’s training horizon
2. Dynamic Exit
• Uses kernel regression and signal changes
• Designed to let profits run in strong trends
⚠️ Recommended only when no additional trend filters are active.
⸻
Backtesting & Trade Statistics
The indicator includes an on-chart statistics panel showing:
• Win rate
• Total trades
• Win/Loss ratio
• Early signal flips (useful for identifying choppy markets)
⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting.
⸻
Typical Use Cases
• Swing trading (M15 – H4)
• Rule-based discretionary trading
• Set-and-forget trading
• TradingView alerts → MT4/MT5 → EA execution
• Prop-firm trading (e.g. FTMO), with proper risk management
⸻
Important Disclaimer
This indicator:
• ❌ does not guarantee profits
• ❌ is not a “holy grail”
• ✅ is a decision-support and structure tool
It performs best when:
• Combined with strict risk management (e.g. ATR-based stops)
• Used in trending or expanding markets
• Executed with discipline and consistency
Fixed Risk + Contracts 2.0This is the upgraded version of my Contracts/Risk indicator, released in January 2026. Users will trade responsibly (and never overleverage again!)
1. Pre-Select Your Ticker
MES ES
NQ MNQ
MYM YM
M2K MCL MGC
GC SIL SI
2. Input Current Account Balance and Risk % Each Trade To Grow Your Account
3. Input Stop Amount In Ticks (Use Position Tool for ease)
4. Contract Risk Is Calculated Automatically!
Add to your favourites and comment below if you have any suggestions :)
