HEK Dinamik Fiyat Kanalı Stratejisi v1HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
6 gün önce
Sürüm Notları
HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
Médias Móveis
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Heikin Ashi EMA Strategy (MSB Gold)
### This is a Private, Invite-Only Strategy Script (XAUUSD H1)
You are viewing the backtest results of a highly profitable (3.6+ Profit Factor) trend-following strategy for Gold (XAUUSD) on the H1 timeframe.
This strategy is based on the popular Heikin Ashi + EMA Crossover video, combining an H1 setup with an H4 trend filter.
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### HOW TO GET FREE ACCESS TO THIS INDICATOR
This is a premium script, but I am offering **100% FREE access** to all active subscribers of my official MQL5 Signal service: **"MSB Dynamic Gold Signal"**.
By subscribing to the MQL5 signal, your MT5 account will automatically copy all my trades. As a bonus, I will give you access to this TradingView script so you can see the exact same signals on your own charts!
**How to get access (2 Steps):**
1. **Subscribe** to our official MQL5 Signal here:
**https://www.mql5.com/en/signals/2341730**
2. **Send me a Private Message** here on TradingView. Include a screenshot of your active MQL5 subscription.
3. I will verify your subscription and grant your TradingView username access to this script.
Thank you,
MSB Gold Pro Team
BTC H4 ATR + MA Cross + Volume Spike StrategyBTC H4 ATR + MA Cross + Volume Spike Strategy BTC H4 ATR + MA Cross + Volume Spike StrategyBTC H4 ATR + MA Cross + Volume Spike StrategyBTC H4 ATR + MA Cross + Volume Spike StrategyBTC H4 ATR + MA Cross + Volume Spike StrategyBTC H4 ATR + MA Cross + Volume Spike StrategyBTC H4 ATR + MA Cross + Volume Spike Strategy
HYBRID SENTINEL v1.8-Pro Panel🧠 HYBRID SENTINEL v1.8 — Pro Panel Edition
(FastSMI | FullSync | ADX-safe | DayOnly Strategy)
💡 Developed collaboratively by Can Yoldaş & ChatGPT-5 (2025)
🔍 Overview
HYBRID SENTINEL v1.8 is a fully automated day-session trading strategy built with multi-layer trend filtration, adaptive volatility scaling, and a professional alert system.
This “Pro Panel Edition” introduces a real-time performance dashboard that tracks live PnL, Win Rate, Max Drawdown, trade count, and position status directly on the chart.
Unlike conventional momentum systems, HYBRID SENTINEL combines Cumulative Delta Volume (CDV) with an optimized FastSMI oscillator to generate high-accuracy entries based on synchronized momentum-volume confirmation.
⚙️ Core Features
Component Description
🧩 Fast SMI Dual-EMA optimized Stochastic Momentum Index — 40 % faster reaction than the classic version.
📊 CDV Volume Engine Tracks directional volume pressure to confirm momentum strength.
⚔️ ADX-Safe Filter Blocks trades in weak or flat trends, reducing false signals.
🕐 Day-Only Mode Trades only between 09:30–18:10; auto-closes all positions before session end.
💰 Adaptive ATR Targets Dynamically scales TP1–TP2 according to market volatility.
🚨 JSON Alert System Fully compatible with TradingView → Make.com → Telegram automations via one-line JSON alerts.
🧾 Pro Performance Panel Displays live PnL, Win Rate, Drawdown, and position status in the chart’s bottom-left corner.
🧠 Use Cases
Intraday trend-following and momentum strategies
Works seamlessly on BIST, Futures, Forex, and Crypto
Fully integrable with Make.com / Pipedream / Telegram bot ecosystems
Suitable for both manual signal monitoring and automated backtesting & execution
📈 Development Philosophy
“True strategy isn’t about complex indicators, but synchronized filters and intelligent risk control.”
— Can Yoldaş, 2025
HYBRID SENTINEL v1.8 blends AI-assisted technical design with human trading intuition, creating a disciplined, data-driven trading framework.
⚠️ Disclaimer
This script is not financial advice.
Always test thoroughly in demo mode before using with real capital.
Trading involves risk; decisions should match your personal risk profile.
🧭 Version Notes — v1.8 Pro Panel Update
📊 Added real-time performance table
⚡ Optimized FastSMI responsiveness
🔄 Introduced EMA200 FullSync (continuous 5-minute synchronization)
🚨 Simplified JSON alert structure
🔒 Enhanced ADX trend safety filter
MA Break Trend Strategy - Multi Stop MethodsThis is a trend-following trading strategy with multiple stop loss options for both long and short positions.
Entry Signal: Trades are triggered when price crosses above (long) or below (short) a configurable moving average (EMA or SMA, default 200-period)
Volume Confirmation: Optional filter requiring volume to exceed a multiplier (default 1.5x) of the 20-period volume average before entering trades
Five Stop Loss Methods:
- ATR-based: Dynamic stop using Average True Range multiplier below/above entry price
- MA Buffer: Stop set at a percentage offset from a separate moving average (default 50-period EMA)
- Donchian Channel: Uses the lowest low/highest high over a specified lookback period
- Keltner Channel: ATR-based bands around an EMA basis
- Lowest Low/Highest High: Simple swing point stops based on recent price extremes
- Trailing Stops: All stop methods automatically trail in the profitable direction (upward for longs, downward for shorts) to lock in gains while never moving against the position
Visual Indicators:
- Plots the trend-following moving average in blue
- Shows active stop loss levels in red when in a position
- Displays reference lines for all stop types when flat
- Entry signals marked with triangles (green up for long, red down for short)
- Background highlighting for volume-confirmed crossovers
EDGAR Liquidity Zone (ELZ) V3ELZ Indicator — Institutional Multi-Logic Trend & Liquidity System
Trade with confidence using ELZ Indicator, a next-level institutional-grade system that merges daily base, weekly base lines, liquidity zones, and ESS trend confluence.
This indicator highlights high-probability entry zones by combining market structure, liquidity clusters, and momentum alignment, giving you a clear edge over retail guesswork.
🔥 Features
✅ Hybrid Trend Mapping: ESS EMA & SAR filters for short-to-medium term bias
✅ Weekly Base Line Alignment: EWO weekly base levels for dynamic support/resistance
✅ Liquidity Zones: Detects bullish/bearish order blocks with ELZ logic
✅ Relaxed Confluence Signals: Master buy/sell conditions combining multiple criteria
✅ Alternating Signal Logic: Avoid repeated signals to reduce false entries
✅ Visual Clarity: BUY/SELL labels and highlighted liquidity boxes
✅ Compact & Intuitive: Fully overlaid on price for quick decision-making
🔒 Invite-Only Script — access granted only to authorized users.
QV 1D/1W 2BX & FVB StrategyUse this on a 1D timeframe
### Overview of the Strategy
The "QV 1D/1W 2BX & FVB Strategy" is a custom trading strategy implemented in Pine Script v5 for the TradingView platform. It is designed for directional trading (long or short positions) on any asset, using a combination of momentum oscillators, trailing stops, fair value deviation bands, and structure breaks to generate entry and exit signals. The strategy name likely refers to "QuantVault" (the creator), using two timeframes (1D daily and 1W weekly) for "2BX" (possibly "2-Bar Xtrender" or similar), and "FVB" for Fair Value Bands.
This is not an overlay strategy (it plots indicators in a separate pane below the price chart), and it supports pyramiding (adding to positions) with a limit of 1 additional entry. It uses 5% of equity per trade by default, with an initial capital of $50,000 and commission accounted for. The strategy can be toggled for long-only or short-only modes and includes customizable enables/disables for various entry/exit rules and alerts. It aims to capture trends by entering on momentum confirmation across multiple timeframes and exiting based on reversals, profit targets (via bands), or stops.
The core idea is trend-following with risk management: Enter when higher-timeframe momentum aligns with lower-timeframe improvements, add to winners when price breaks a trailing level, and exit via multiple protective mechanisms or scaled profit-taking at deviation levels.
### Key Indicators and Calculations
The strategy relies on several custom indicators plotted on the chart or used for signals:
1. **Xtrender Oscillators (Short-Term and Long-Term)**:
- These are momentum indicators based on RSI (Relative Strength Index) applied to differences in EMAs (Exponential Moving Averages).
- **Short-Term Xtrender (on TF1 and TF2)**: Calculated as `RSI(EMA(close, short_l1) - EMA(close, short_l2), short_l3) - 50`. This creates an oscillator centered around 0.
- TF1 (default: 1D) is used for precise timing.
- TF2 (default: 1W) provides broader trend direction, with persistent state to detect if it's increasing or decreasing.
- Plotted as histograms: Green shades for positive/upward momentum, red for negative/downward. Special colors highlight 2-bar confirmations or centerline crosses.
- **Long-Term Xtrender**: Simpler RSI of EMA(close, long_l1) over long_l2, but it's defined and not directly used in the provided logic (possibly a remnant or for future expansion).
- A centerline at 0 separates bullish (above) from bearish (below) territories.
- 2-Bar Conditions: Checks for consecutive bars where the TF1 oscillator is red/green and decreasing/increasing, used for exits.
2. **Red ATR Line (Trailing Stop)**:
- A volatility-based trailing line similar to SuperTrend, using ATR (Average True Range) over a length (default: 10) multiplied by a factor (default: 2.5).
- It flips direction based on price closes: Upward trailing for longs (below price), downward for shorts (above price).
- Plotted as a red line on the price chart (forced overlay).
- Used for entries (pyramiding on cross), exits (full exit on adverse cross), and conditional checks.
3. **Fair Value Bands (FVB)**:
- These are dynamic deviation bands around a "fair price" middle line, which is an SMA (Simple Moving Average) of OHLC4 (average of open/high/low/close) over a length (default: 33).
- **Deviation Calculation**: Analyzes spreads from highs/lows to the fair price, using medians of historical deviations and pivot highs/lows (over 5 bars left/right).
- Upper bands (for longs): Boosted deviations above fair price, multiplied by factors (0.6 for 1x, 1.0 for 2x, 1.4 for 3x).
- Lower bands (for shorts): Similar but below fair price.
- Plotted only for the selected direction: Yellow (1x), orange (2x), red (3x) lines on the price chart.
- Acts as profit targets: Scale out or exit fully when price touches/crosses these bands.
- Uses arrays to store historical deviations/pivots, capped at 1000-2000 elements for efficiency.
4. **Break of Structure (BOS)**:
- Identifies the last swing low (for longs) or high (for shorts) using pivot lows/highs (5 bars left/right).
- Plotted as a white line on the price chart if enabled.
- Used as a stop-loss level: Exit if price breaks below (longs) or above (shorts).
5. **Other Elements**:
- Custom T3 (Tillson Moving Average) function is defined but not used in the script—possibly for future or removed features.
- Persistent variables track position states (e.g., initial quantity, doubled status, waiting for exits) to manage scaling and prevent re-entries after full exits until conditions reset.
### How the Strategy Works: Entry Logic
Entries are direction-specific and require alignment between timeframes for momentum.
- **Main Entry**:
- **For Longs**: Enabled if `enable_main_entry` is true.
- TF2 condition: Either increasing or above a threshold (default: 10).
- TF1 condition: Oscillator is increasing (current > previous).
- Position check: No current long position (or fully exited previously), and price is at or below the 2x upper band (to avoid chasing highs).
- Triggers a long entry with 5% equity.
- **For Shorts**: Symmetric but inverted.
- TF2 decreasing or below -threshold.
- TF1 decreasing.
- No short position (or fully exited), price at or above 2x lower band.
- Triggers a short entry.
- **Pyramiding (Adding to Position)**:
- If `enable_pyramiding` is true and not already doubled.
- For longs: When price crosses above the red ATR line (breaking resistance).
- For shorts: Crosses below red ATR.
- Adds the same initial quantity, effectively doubling the position (pyramiding=1 limits to one add).
Upon entry, it resets state variables (e.g., records initial qty, sets BOS level to last swing low/high).
### How the Strategy Works: Exit Logic
Exits are multifaceted, with full closes for protection and partial scale-outs for profit-taking. All are conditional on enabled inputs and position direction.
- **Full Exits (Close Entire Position)**:
1. **ATR Exit** (`enable_atr_exit`): For longs, if price crosses below red ATR (trailing stop hit). Symmetric for shorts (cross above).
2. **2-Bar Exit** (`enable_2bar_exit`): For longs, if TF1 is red and decreasing for 2 bars, and price is below red ATR. For shorts, green and increasing for 2 bars, price above red ATR.
3. **TF1 Centerline Exit** (`enable_tf1_below0_exit`): For longs, TF1 crosses below 0 and price below red ATR. For shorts, crosses above 0 and price above red ATR.
4. **Large TF1 Change Exit** (`enable_large_decrease_exit`): For longs, TF1 decreases by more than `exit_amount` (default: 40). For shorts, increases by that amount.
5. **BOS Exit** (`enable_bos_exit`): For longs, price crosses below swing low. For shorts, above swing high.
6. **3x Band Full Exit** (`enable_3x_exit`): Waits for crossover above 3x upper (longs) or below 3x lower (shorts), then closes on cross back under/over.
- **Partial Scale-Outs (50% of Position)**:
- Use "waiting" flags to detect touch and retreat from bands.
- **1x Scale-Out** (`enable_1x_scaleout`): Unlimited repeats. For longs, crossover above 1x upper, then close 50% on crossunder. Symmetric for shorts at 1x lower.
- **2x Scale-Out** (`enable_2x_scaleout`): Similar, at 2x bands.
After a full exit, it sets `has_fully_exited` to prevent immediate re-entry until price retreats to the 2x band.
### Alerts
- **Band Touch Alerts** (`enable_band_alerts`): Triggers on price touching any 1x/2x/3x upper/lower band from either side (e.g., "Price touched 1x Upper Deviation band from below").
- **BOS Touch Alert** (`enable_bos_touch_alert`): On touching BOS level.
- **BOS Cross Alert** (`enable_bos_cross_alert`): On crossing and closing beyond BOS.
- Alerts reset per bar and use `alert.freq_all` or `once_per_bar_close` to avoid spam.
### Additional Notes
- The strategy is backtestable in TradingView, with performance depending on parameters (e.g., timeframes, multipliers).
- It's momentum-driven on higher TFs for bias, with lower TF for timing, and volatility/fair value for risk/reward.
- No external data or ML; all calculations are self-contained using TA-Lib functions.
- Potential improvements: The unused T3 and long-term Xtrender could be integrated for filtering.
QV 2H/4D 2BX & FVB StrategyQuantVault
### Strategy Description for Presentation
The **QV 2H/4D 2BX & FVB Strategy** is a versatile, timeframe-based trading system designed for TradingView using Pine Script v5. It combines momentum oscillators (B-Xtrender) across a 2-hour (120-minute) and 4-day timeframe with Fair Value Bands (FVB) for dynamic support/resistance levels, a trailing ATR-based stop (Red Line), and Break of Structure (BOS) detection. The strategy supports both long and short directions, allowing for main entries, optional pyramiding (adding to positions), and multiple exit mechanisms including full exits and partial scale-outs. It's optimized for trend-following in volatile markets like forex, stocks, or crypto, with built-in risk management via percent-of-equity sizing (default 5% per trade) and commission accounting. Alerts are included for band touches and BOS events to aid real-time monitoring. Key features include customizable toggles for entries/exits, making it adaptable for backtesting or live trading with an initial capital of $50,000.
This strategy emphasizes multi-timeframe confirmation: the higher timeframe (4D) provides directional bias, while the lower (2H) drives precise entries and exits. It aims to capture trends by entering on momentum shifts and exiting via profit-taking at deviation bands or protective stops, reducing drawdowns through pyramiding limits (max 1 add-on) and conditional re-entries only after full exits or band resets.
### Detailed Breakdown of How It Works
The strategy operates as a complete trading system with indicator calculations, entry logic, position management, exit conditions, and alerts. Below, I'll explain each section step by step, including the underlying calculations and logic flows. Note that all plots (e.g., histograms, lines, bands) are overlaid on the chart unless specified otherwise, but the strategy itself plots in a separate pane (overlay=false).
#### 1. Input Parameters
Users can customize the strategy via inputs, which control direction, features, and indicator settings. These are grouped into categories for ease:
| Category | Key Inputs | Description/Default |
|----------|------------|----------------------|
| **Direction** | `direction` | "Long" or "Short" – restricts strategy to one side (default: "Long"). |
| **Entry Settings** | `enable_main_entry`, `enable_pyramiding` | Toggle main entry and adding to positions (both default: true). |
| **Exit Settings** | `enable_atr_exit`, `enable_2bar_exit`, `enable_tf1_below0_exit`, `enable_large_decrease_exit`, `enable_bos_exit`, `enable_1x_scaleout`, `enable_2x_scaleout`, `enable_3x_exit` | Toggles for various full/partial exits (all default: true). |
| **Alert Settings** | `enable_band_alerts`, `enable_bos_touch_alert`, `enable_bos_cross_alert` | Toggles for deviation band and BOS alerts (all default: true). |
| **Indicator Lengths** | `short_l1` (5), `short_l2` (20), `short_l3` (5), `long_l1` (20), `long_l2` (5) | Periods for short/long Xtrender EMAs and RSIs. |
| **Timeframes** | `tf1` ("120" – 2 hours), `tf2` ("4D" – 4 days) | Multi-timeframe data sources. |
| **Exit/Thresholds** | `exit_amount` (40.0), `tf2_threshold` (10.0) | TF1 change for large exit; TF2 momentum threshold. |
| **ATR & Bands** | `len` (10 – ATR length), `mult_red` (2.5 – Red Line multiplier), `fair_value_length` (33), `fair_value_mult1/2/3` (0.6/1.0/1.4) | Settings for Red ATR trailing line and FVB deviation levels. |
A custom T3 moving average function is defined but not used in the core logic (possibly for future extensions).
#### 2. Indicator Calculations
The strategy relies on several computed indicators for signals:
- **B-Xtrender Oscillators (Short-Term)**:
- Calculated on TF1 (2H) and TF2 (4D): `shortTermXtrender_tf1/tf2 = RSI(EMA(close, short_l1) - EMA(close, short_l2), short_l3) - 50`.
- This creates a momentum histogram centered at 0, showing overbought (>0, green) or oversold (<0, red) conditions.
- Combined: `combinedShortTermXtrender = tf1 + tf2` (not directly used in entries/exits).
- TF2 direction is tracked persistently: `tf2_increasing` if change >0, `tf2_decreasing` if <0.
- Plotted as columns (TF1 with color variations for 2-bar trends/crosses) and area (TF2, translucent).
- **Long-Term Xtrender**:
- `longTermXtrender = RSI(EMA(close, long_l1), long_l2)`.
- Not used in the provided logic (potential remnant or for visualization).
- **2-Bar Conditions**:
- For longs: `tf1_green_and_increasing_2bars` – TF1 >0 and increasing for 2 bars.
- For shorts: `tf1_red_and_decreasing_2bars` – TF1 <0 and decreasing for 2 bars.
- Used for exits and histogram coloring.
- **Centerline Crosses**:
- `tf1_cross_above_zero` (crossover >0), `tf1_cross_below_zero` (crossunder <0).
- Influences histogram colors and exits.
- **Red ATR Line**:
- Base ATR: `atr = ta.atr(len)`.
- Trailing levels: `up_red = close - (mult_red * atr)`, `dn_red = close + (mult_red * atr)`.
- Trend detection: Switches between up/dn based on close vs previous trail, with breaks flipping direction.
- Plotted as a red broken line on the price chart – acts as a dynamic trailing stop.
- **Fair Value Bands (FVB)**:
- Fair price: `fairPriceSmooth = SMA(ohlc4, fair_value_length)` (blue midline).
- Deviations calculated from high/low spreads relative to fair price, using medians of historical pivots and boosts.
- Upper bands (for longs): `upper1/2/3 = fairPriceSmooth + mult1/2/3 * pivot-based spread` (colors: yellow, orange, red).
- Lower bands (for shorts): `lower1/2/3 = fairPriceSmooth - mult1/2/3 * pivot-based spread`.
- Only relevant bands plot based on direction.
- Uses arrays (limited to 1000-2000 elements) for median calculations to adapt dynamically.
- **Break of Structure (BOS)**:
- Swing levels: `last_swing_low = pivotlow(low, 5,5)`, `last_swing_high = pivothigh(high, 5,5)`.
- Plotted as white lines (SL for longs, SH for shorts) if enabled.
A centerline at 0 is plotted on the oscillator pane.
#### 3. Entry Logic
Entries are direction-specific and use multi-timeframe momentum for confirmation. Position sizing is 5% of equity, with pyramiding limited to one add-on.
- **Long Entries**:
- Main: If `enable_main_entry` and (TF2 increasing or > threshold) and TF1 increasing, and no position (or after full exit if close <= upper2).
- Command: `strategy.entry('Long', strategy.long)`.
- On new position: Reset flags, set initial qty, store swing low as SL.
- Pyramiding: If enabled and not doubled, add equal qty on crossover above Red Line.
- **Short Entries**:
- Mirror of longs: TF2 decreasing or < -threshold, TF1 decreasing, no position (or after full exit if close >= lower2).
- Command: `strategy.entry('Short', strategy.short)`.
- Pyramiding: Add on crossunder below Red Line.
Re-entries are blocked until full exit unless price resets to a band (e.g., below upper2 for longs).
#### 4. Position Management
Uses variables to track state:
- Initial qty, doubled flag, waiting for scale-out flags, full exit flag (per direction).
- Ensures scale-outs only trigger after crosses, and full exits set flags to allow re-entries.
#### 5. Exit Logic
Exits are checked only when in position and use multiple independent conditions. Full exits set `has_fully_exited` to true. Scale-outs are partial (50% of current size for longs, initial qty *0.5 for shorts – note asymmetry).
- **Long Exits**:
1. ATR: Crossunder below Red Line (full, if enabled).
2. 2-Bar: TF1 red/decreasing for 2 bars and below Red Line (full).
3. TF1 Below 0: Crossunder centerline and below Red Line (full).
4. Large TF1 Decrease: TF1 drop > exit_amount (full).
5. BOS: Crossunder swing low (full, if enabled).
6. 1x Scale-Out: Crossover upper1, then crossunder (50%).
7. 2x Scale-Out: Similar for upper2 (50%).
8. 3x Exit: Similar for upper3 (full).
- **Short Exits**:
- Mirror: ATR crossover above Red Line, TF1 green/increasing 2 bars above Red Line, TF1 above 0 above Red Line, large TF1 increase, BOS crossover swing high, scale-outs on lower bands (crossunder then crossover).
Exits include comments for chart labeling (e.g., 'Full ATR', '1x 50%').
#### 6. Alert Conditions
Alerts fire in real-time or on bar close, resetting flags at new bars to avoid duplicates:
- **Band Touches** (if enabled): Touch from below/above for each 1x/2x/3x upper/lower band.
- **BOS Touches** (if enabled): Touch from above/below for SL/SH.
- **BOS Cross & Close** (if enabled): Cross and close below SL (longs) or above SH (shorts) – once per bar close.
This setup provides comprehensive notifications for potential entries, exits, or reversals.
In summary, the strategy enters on aligned multi-timeframe momentum, adds on Red Line breaks, and exits via protective stops or profit-taking at adaptive bands, making it a robust trend-capture tool with risk controls. For presentation, emphasize its modularity – users can disable features to simplify or focus on specific signals. If backtesting, test on various assets/timeframes to tune parameters like multipliers.
MA strategyBuy / sell on MA cross. Use ATR or Swing for stop
Option for moving stop after second SwL / SwH
Knock yourself out modifying.
VENZITECH ALGO 1.0(Night Vision Edition)VENZITECH ALGO 1.0(Night Vision Edition)
I. Strategy Purpose and Design
The VENZITECH ALGO 1.0(Night Vision Edition) is a fully automated, volatility-adapted, mean-reversion and momentum-based strategy designed for high-frequency trading (scalping and day trading). It is specifically configured for Intraday futures markets (as demonstrated by the COMEX Gold Futures backtest), but is highly customizable.
The strategy's primary function is to identify high-probability entries within a well-defined institutional trading window (12:00 UTC to 20:00 UTC). It uses a layered filtering system to confirm momentum, volume conviction, and alignment with the broader trend, allowing it to capitalize on short-term price movements while minimizing exposure to consolidation periods.
II. Core Concepts and Entry Logic
The strategy utilizes a multi-layered approach to signal generation:
Adaptive Crossover Signal: The primary entry trigger is based on the crossover of two Kaufman Adaptive Moving Averages (KAMA) with customizable speeds. KAMA is used because its smoothing constant adapts dynamically to market noise, ensuring the crossover signal is highly responsive during trending phases and slows down during consolidation. This provides the fast, adaptive signal required for scalping.
Global Directional Confirmation (GDC): The KAMA signal is strictly filtered by two slower Exponential Moving Averages (EMAs), typically set at 50 and 200 periods, to confirm the long-term trend (similar to a Golden/Death Cross concept). A key element is a price retest filter that specifically looks for candle low/highs to tag the area around the shorter-term GDC EMA (e.g., EMA 50) before entry, indicating strong trend support or resistance.
Momentum and Volume Filters: To ensure conviction behind the signal, the strategy integrates several classical momentum and volume concepts:
An Average Directional Index (ADX) threshold filter to confirm adequate trend strength.
A Relative Strength Index (RSI) filter to confirm underlying price momentum.
A Chaikin Money Flow (CMF) and a Volume Moving Average filter to ensure capital is flowing into the instrument at the time of entry.
III. Dynamic Risk and Exit Management
Risk management is the central pillar of this strategy and is handled dynamically to ensure sustainability.
Volatility-Based Sizing & Stop Loss: The initial Stop Loss (SL) is dynamically calculated using the Average True Range (ATR) multiplied by a user-defined factor. The position size (contract quantity) is then automatically calculated based on the user's defined "Max Risk per Trade (USD)" input, ensuring that the dollar risk per trade remains constant regardless of the instrument's volatility.
Daily Risk Limits: The strategy enforces strict, non-negotiable daily risk limits, including a Max Daily Loss threshold and a Minimum Daily Profit Floor (e.g., $500 max loss, $110 profit floor). If the profit floor is reached, the strategy enters a capital preservation mode, closing any open trades if the P&L drops back below the floor.
Multi-Stage Exit System: The exit is handled through a tiered structure:
A percentage of the position exits at a fixed Take Profit (TP) target.
The remaining position is managed by a Breakeven logic that moves the stop to entry plus one tick after a small profit threshold is hit.
A highly adaptive, multi-stage Trailing Stop is employed on the remaining position. This trail adjusts its sensitivity and offset based on how far the trade has moved into profit, effectively securing more gains as the trade extends.
IV. Compliance and Backtesting Practices
All published results adhere to TradingView's House Rules for Strategy results:
Realistic Account Size: The strategy uses an initial capital that is realistic for average futures traders.
Trade Risk: The Max Risk per Trade (USD) input is set to a low, sustainable dollar amount (default $10.00), resulting in a risk per trade that is well below the typically viable 5-10% equity threshold.
Sample Size: The backtest period has been selected to generate a highly sufficient sample size, exceeding 100 trades to ensure statistical reliability of the results.
Default Properties: The strategy's default input parameters are used for the backtest and are explained herein. The "Night Vision Edition" plotting colors are purely cosmetic and have no bearing on the trading logic.
Caution Warning: No caution warning is issued, and the script runs with realistic slippage and commission settings.
Phoenix Lock — No-Repaint No-Loss SMA+RSI+MACD Bot (+270%)🔥 PHOENIX LOCK — NO-REPAINT NO-LOSS SMA+RSI+MACD BOT (+270%) 🔥
✅ 100% confirmed signals — NO REPAINT (all on closed bar)
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✅ Works on BTC/USDT, ETH/USDT, SOL/USDT, any spot pair
🎯 PREMIUM FEATURES:
• SMA Crossover (30/40) — clean trend entry
• RSI Filter (>40) — avoids weak moves
• MACD Confirmation — momentum lock
• ATR x3 Take-Profit — dynamic, adaptive
• No-Loss Exit — closes only above breakeven + fees
• Webhook Alerts — auto-trade on OKX, Bybit, Binance
• MagicNumber ready (via alert ID)
📊 SETUP (1 minute):
1. Add to TradingView
2. Enable alerts → Webhook to your broker
3. Run 24/7 — zero monitoring
4. Profit — no drawdown, no stress
💎 WHY BUY?
• No repainting — signals locked on bar close
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• Fully tested — 2 years live data
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✅ +270% за 2 года (бэктест + живые сделки на OKX Spot)
✅ Работает на BTC/USDT, ETH/USDT, SOL/USDT, любой спот-паре
🎯 ПРЕМИУМ-ФУНКЦИИ:
• SMA Crossover (30/40) — чистый вход по тренду
• RSI Фильтр (>40) — избегает слабых движений
• MACD Подтверждение — фиксация импульса
• ATR x3 Тейк-Профит — динамичный, адаптивный
• No-Loss Выход — закрытие только выше безубытка + комиссии
• Webhook Алерты — автоторговля на OKX, Bybit, Binance
• MagicNumber готов (через ID алерта)
📊 УСТАНОВКА (1 минута):
1. Добавь в TradingView
2. Включи алерты → Webhook к брокеру
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КУПИ СЕЙЧАС — ЗАФИКСИРУЙ ПРИБЫЛЬ НАВСЕГДА
BB Simple B-Xtrender Long### Overview
I currently us this on a 1 week timeframe to spot trend shifts in the market.
It focuses exclusively on long positions (buying assets expecting price increases) and does not overlay on the main price chart—instead, it appears in a separate pane. The strategy allocates the full available equity to each trade and accounts for commissions as a percentage. It uses a custom indicator called the "B-Xtrender" to generate entry and exit signals for long trades, based on momentum-like calculations involving exponential moving averages (EMAs) and the relative strength index (RSI). The indicator is computed on a user-specified timeframe, and the strategy includes alert conditions for key events.
### Inputs Section
The script begins with user-configurable inputs that allow customization without editing the code directly. These include:
- Three integer values for short-term lengths: The first (default 5) and second (default 20) are used in EMA calculations to create a difference that forms the basis of the indicator. The third (default 15) sets the length for the RSI applied to that difference.
- A timeframe input (default "30" for 30 minutes) that determines the resolution for fetching data used in the indicator.
- A float value for the exit level (default 5, with a minimum of 0 and step of 0.1), which acts as a threshold for one of the exit conditions—specifically, when the indicator crosses below this level.
These inputs make the strategy adaptable to different assets or timeframes by adjusting the sensitivity of the indicator and exit rules.
### Indicator Section
The core of the script is the calculation of the "ShortTermXtrender" indicator. It fetches data from the specified timeframe using the asset's ticker symbol and computes an RSI on the difference between two EMAs of the closing prices (using the first and second short lengths), then subtracts 50 to center it around zero. This results in an oscillator that highlights short-term momentum shifts.
The histogram is colored dynamically:
- Green shades for positive values: Brighter green if the current value is higher than the previous (indicating strengthening upward momentum), and darker green otherwise.
- Red shades for negative or zero values: Brighter red if the current value is higher than the previous (less negative, but still downward), and darker red if it's decreasing further.
The indicator is plotted as columns for visual clarity, titled "B-Xtrender TF1" (referring to the first timeframe). A dashed gray horizontal line at zero serves as a centerline to easily distinguish positive (bullish) from negative (bearish) territories.
### Conditions Section
This part defines the logic for entering and exiting long trades, broken into entry and exit rules.
For long entries:
- One condition checks if the indicator is increasing (current value greater than the previous).
- Another optional condition detects a crossover above zero while also increasing, which can be removed if not desired.
- The final entry signal combines these: It triggers on either the crossover (if included) or the increasing value, promoting entries during upward momentum.
For long exits:
- A "red" state is defined as the indicator being at or below zero.
- A decreasing trend over two bars is checked by comparing the current to the previous, and the previous to the one before that.
- One exit triggers on this red state combined with the two-bar decrease.
- Another exit occurs when the indicator crosses below the user-defined exit level.
- The overall exit combines these two, ensuring positions close on weakening momentum or threshold breaches, but only if a long position is active.
### Strategy Execution Section
Here, the script applies the conditions to actual trading actions:
- On a long entry signal, it enters a long position labeled "Long," using the full strategy parameters for sizing and direction.
- On a long exit signal (and only if holding a positive position size), it closes the "Long" position. The comment for the close order specifies the reason: either crossing below the exit level (including the level value) or due to the red histogram with a two-bar decline.
This setup ensures automated trade management based solely on the indicator's behavior.
### Alerts Section
The script sets up three alert conditions that can notify users via TradingView's alert system:
- One for the crossover-based long entry, with a message indicating the indicator crossed above zero and is rising, signaling a long opportunity.
- Another for the increasing-value long entry, noting the indicator's rise on the specified timeframe as a long signal.
- A third for the red histogram with two-bar decline exit, warning of the condition to exit a long position.
These alerts are independent of the strategy execution and can be used for manual trading or monitoring even if the automated strategy isn't running.
MoneyPlant-Auto Support Resistance V2.0
🧭 Overview
MoneyPlant – Auto Support Resistance is a professional-grade indicator designed to automatically detect dynamic Support and Resistance levels using real-time market structure.
It combines trend confirmation, structure analysis, and momentum logic to identify high-probability trading zones in all market conditions.
⚙️ Core Concept
This indicator uses a unique combination of classic and proprietary logic to filter only the most relevant S/R levels:
• Dynamic Support/Resistance Mapping: Detects strong reaction levels based on price structure, candle rejection points, and breakout validation.
• EMA & WMA Trend Filter: Uses a triple-moving-average model (default EMA 18, EMA 25, and WMA 7) to confirm current market bias.
• MACD Momentum Filter: Confirms trend strength and helps avoid false breakouts.
• Smart Alignment Logic: Generates signals only when structure, trend, and momentum all align in the same direction.
🧠 How It Works
1. Buy Setup:
When price breaks above a resistance level with bullish EMA/WMA alignment and positive MACD momentum → Buy Signal triggers.
2. Sell Setup:
When price breaks below a support level with bearish EMA/WMA alignment and negative MACD momentum → Sell Signal triggers.
3. Auto-Refreshing Zones:
Support and Resistance zones update dynamically as market structure evolves.
🎯 Best Use Cases
• Works effectively on Stocks, Indices, Forex, and Commodities (e.g., XAUUSD, NIFTY, BANKNIFTY ).
• Ideal for Intraday & Swing Trading (15 min – 1 hour timeframes).
• Fully compatible with TradingView alerts and automation tools.
💡 Key Features
✅ Automatic Support/Resistance detection
✅ Adaptive EMA + WMA + MACD trend logic
✅ Real-time Buy/Sell alerts
✅ Multi-timeframe compatibility
✅ Optimized for clean chart visuals
⚖️ Recommended Settings
• EMA Fast: 18
• EMA Slow: 25
• WMA Filter: 7
• MACD: Default parameters
(Users may adjust EMA/WMA settings according to their own trading style.)
🔒 How to Get Access
To get access to this invite-only script, please send me a private message on TradingView or use the link in my profile.
Once your username is added via Manage Access, you’ll be able to use the indicator.
🧾 Notes for Traders
This tool does not repaint, and it’s meant for educational and analytical purposes only.
Each license is valid for one TradingView username — no resale or redistribution is permitted.
Developed by MoneyPlant
Smart Automation for Professional Traders
Option Buying Strategy By Raj PandyaThis strategy is designed for intraday trading on BankNifty using a powerful confluence of trend, structure and momentum. It combines the 9-period Exponential Moving Average (EMA) with Daily Traditional Pivot Points to identify high-probability breakout trades.
A Long (CALL) signal is generated when price crosses and closes above both the 9 EMA and the Daily Pivot Point (PP), confirming upward trend strength. A Short (PUT) signal triggers when price crosses and closes below the 9 EMA and PP, signaling downside momentum. To reduce false signals, the strategy uses RSI with a moving average filter to ensure momentum aligns with price action.
Risk management is built-in with previous candle high/low stop-loss, a fixed 50-point target, and an automatic trailing stop system to protect profits on trending days. This helps capitalize on strong momentum while managing risk effectively.
This strategy works best on the 5-minute timeframe and is optimized for BankNifty futures/options. It aims to capture clean directional moves around key intraday value levels used by institutional traders.
ORBSMMAATRVOLREENTRY2Contracts📈 Opening Range Fibonacci Breakout (TradingView Strategy)
Overview:
The Opening Range Fibonacci Breakout strategy is designed to capture high-probability intraday moves by combining the power of the 15-minute opening range, trend confirmation via SMMA, and volume-based momentum filtering.
At the start of each trading session, the script automatically plots the Opening Range Box based on the first 15 minutes of price action — highlighting key intraday support and resistance levels.
How It Works:
Opening Range Setup
The first 15 minutes of the session define the range high and low.
A visual box marks this zone on the chart for easy reference.
Signal Generation
A Smoothed Moving Average (SMMA) with a user-defined period determines overall trend bias.
Candle volume is analyzed to confirm momentum strength.
Long Signal: Price breaks above the opening range high, SMMA trending up, and volume supports the move.
Short Signal: Price breaks below the opening range low, SMMA trending down, and volume supports the move.
Take Profit & Targets
Fibonacci extension levels are automatically plotted from the opening range.
These dynamic levels serve as structured Take Profit (TP) zones for partial or full exits.
Features:
✅ 15-Minute Opening Range Box
✅ Adjustable SMMA period
✅ Volume-based confirmation filter
✅ Automatic Fibonacci profit targets
✅ Visual Long/Short alerts & signals
Ideal For:
Scalpers and intraday traders who rely on early-session momentum, breakout confirmation, and precision exit targets.
Backtested for MNQ/NQ futures trading
BH BTC LS Atopetrader Bitcoin 15M Advanced Trading Strategy
This strategy is designed to trade Bitcoin on the 15-minute timeframe for long and short positions. It uses an advanced system adapted to price action, combined with automated risk management through stop loss and take profit. It is optimized to adapt to the high volatility and speculative nature of BTC, seeking out trend-driven momentum opportunities and avoiding low-probability periods detected through historical analysis.
Timeframe Compatibility
While the strategy is specifically adapted and optimized for the 15-minute timeframe (15M), it has been engineered to perform across multiple timeframes ranging from 5-minute to 4-hour intervals. This multi-timeframe versatility allows traders to adjust the strategy parameters according to their preferred trading style and market conditions.
This adaptability across different timeframes significantly enhances the strategy's robustness, making it more resilient to varying market regimes and reducing over-optimization to a single timeframe. By testing and validating across 5-minute to 4-hour intervals, the strategy demonstrates consistent edge across diverse trading environments, which strengthens confidence in its performance across broader market conditions.
Cross-Asset Testing
Beyond Bitcoin, this strategy could be tested and adapted for trading other cryptocurrencies, making it a flexible framework for exploring momentum-based opportunities across different digital assets with varying volatility profiles.
Performance Summary
This strategy has significantly outperformed a simple buy-and-hold approach over the 6-year backtest period. Here are the standout metrics:
Total P&L: +$41,277.80 USDT (+2,063.89%)
Net Profit: +$41,277.80 USDT with only 18.35% max drawdown
Total Trades: 2,169 with 44.63% win rate
Profit Factor: 2.17x (strong edge)
Key Advantage Over Buy & Hold
The Buy & Hold return was +$16,576.63 USDT (+828.83%), meaning this strategy more than doubled Buy & Hold returns over the same period. The active trading approach consistently captured momentum while the 2.17x profit factor demonstrates edge-based entries.
Commission Structure: A 0.1% commission per trade has been factored into the backtesting analysis, which is more than sufficient to cover typical exchange trading fees on major platforms. This conservative fee structure ensures the reported results account for real-world trading costs while still demonstrating substantial profitability.
Important Disclaimer
This strategy does not guarantee future profits and should be used after testing and analyzing in a simulated environment. A disciplined approach and appropriate risk management are recommended for the cryptocurrency market. Past performance is not indicative of future results, and actual trading may differ from backtested scenarios due to market slippage, liquidity conditions, and changing market dynamics.
💻 RSI Dual-Band Reversal Strategy (Hacker Mode)This 💻 RSI Dual-Band Reversal Strategy (Hacker Mode) is a mean-reversion trading strategy built on the Relative Strength Index (RSI) indicator.
It identifies potential trend reversals when price momentum reaches extreme overbought or oversold levels — then enters trades expecting the price to revert.
⚙️ Strategy Concept
The RSI measures market momentum on a scale of 0–100.
When RSI is too low, it signals an oversold market → potential buy.
When RSI is too high, it signals an overbought market → potential sell.
This strategy sets two reversal zones using dual RSI bands:
Zone RSI Range Meaning Action
Upper Band 80–90 Overbought Prepare to Sell
Lower Band 10–20 Oversold Prepare to Buy
🧩 Code Breakdown
1. Input Parameters
rsiLength = input.int(14)
upperBandHigh = input.float(90.0)
upperBandLow = input.float(80.0)
lowerBandLow = input.float(10.0)
lowerBandHigh = input.float(20.0)
You can adjust:
RSI Length (default 14) → sensitivity of the RSI.
Upper/Lower Bands → control when buy/sell triggers occur.
2. RSI Calculation
rsi = ta.rsi(close, rsiLength)
Calculates the RSI of the closing price over 14 periods.
3. Signal Logic
buySignal = ta.crossover(rsi, lowerBandHigh)
sellSignal = ta.crossunder(rsi, upperBandLow)
Buy Signal: RSI crosses up through 20 → market rebounding from oversold.
Sell Signal: RSI crosses down through 80 → market turning from overbought.
4. Plotting
RSI line (lime green)
Bands:
🔴 80–90 (Sell Zone)
🟢 10–20 (Buy Zone)
Gray midline at 50 for reference.
Triangle markers for signals:
🟢 “BUY” below chart
🔴 “SELL” above chart
5. Trading Logic
if (buySignal)
strategy.entry("Buy", strategy.long)
if (sellSignal)
strategy.entry("Sell", CRYPTO:BTCUSD strategy.short OANDA:XAUUSD )
Opens a long position on a buy signal.
Opens a short position on a sell signal.
No explicit stop loss or take profit — positions reverse when an opposite signal appears.
🧠 How It Works (Step-by-Step Example)
RSI drops below 20 → oversold → buy signal triggers.
RSI rises toward 80 → overbought → sell signal triggers.
Strategy flips position, always staying in the market (either long or short).
📈 Visual Summary
Imagine the RSI line oscillating between 0 and 100:
100 ────────────────────────────────
90 ───── Upper Band High (Sell Limit)
80 ───── Upper Band Low (Sell Trigger)
50 ───── Midline
20 ───── Lower Band High (Buy Trigger)
10 ───── Lower Band Low (Buy Limit)
0 ────────────────────────────────
When RSI moves above 80 → SELL
When RSI moves below 20 → BUY
⚡ Strategy Profile
Category Description
Type Mean Reversion
Entry Rule RSI crosses up 20 → Buy
Exit/Reverse Rule RSI crosses down 80 → Sell
Strengths Simple, effective in sideways/range markets, minimal lag
Weaknesses Weak in strong trends, no stop-loss or take-profit logic
💡 Suggested Improvements
You can enhance this script by adding:
Stop loss & take profit levels (e.g., % or ATR-based).
Trend filter (e.g., trade only in direction of 200 EMA).
RSI smoothing to reduce noise.
Trend Pullback System```{"variant":"standard","id":"36492","title":"Trend Pullback System Description"}
Trend Pullback System is a price-action trend continuation model that looks to enter on pullbacks, not breakouts. It’s designed to find high-quality long/short entries inside an already established trend, place the stop at meaningful structure, trail that stop as structure evolves, and warn you when the trade thesis is no longer valid.
Developed by: Mohammed Bedaiwi
---------------------------------
HOW IT WORKS
---------------------------------
1. Trend Detection
• The strategy defines overall bias using moving averages.
• Bullish environment (“uptrend”): price above the slower MA, fast MA above slow MA, and the slow MA is sloping up.
• Bearish environment (“downtrend”): price below the slower MA, fast MA below slow MA, and the slow MA is sloping down.
This prevents trading against chop and focuses on continuation moves in the dominant direction.
2. Pullback + Re-entry Logic
• The script waits for price to pull back into structure (support in an uptrend, resistance in a downtrend), and then push back in the direction of the main trend.
• That “push back” is the setup trigger. We don’t chase the first breakout candle — we buy/sell the retest + resume.
3. Structural Levels (“Diamonds”)
• Green diamond (below bar): bullish pivot low formed while the trend is bullish. This marks defended support.
- Use it as a re-entry zone for longs.
- Use it to trail a stop higher when you’re already long.
- Shorts can take profit here because buyers stepped in.
• Red diamond (above bar): bearish pivot high formed while the trend is bearish. This marks defended resistance.
- Use it as a re-entry zone for shorts.
- Use it to trail a stop lower when you’re already short.
- Longs can take profit here because sellers stepped in.
4. Entry Signals
• BUY arrow (green triangle up under the candle, text like “BUY” / “BUY Zone”):
- LongSetup is true.
- Trend is bullish or turning bullish.
- Price just bounced off recent defended support (green diamond) and reclaimed short-term momentum.
Meaning: enter long here or cover/exit shorts.
• SELL arrow (red triangle down above the candle):
- ShortSetup is true.
- Trend is bearish or turning bearish.
- Price just rolled down from defended resistance (red diamond) and lost short-term momentum.
Meaning: enter short here or take profit on longs.
These are the primary trade entries. They are meant to be actionable.
5. Weak Setups (“W” in yellow)
• Yellow triangle with “W”:
- A possible long/short idea is trying to form, BUT the higher-timeframe confirmation is not fully there yet.
- Think of it as early pressure / early caution, not a full signal.
• You usually watch these areas rather than jumping in immediately.
6. Exit Warning (orange “EXIT” label above a bar)
• The strategy will raise an EXIT marker when you’re in a trade and the *opposite* side just produced a confirmed setup.
- You’re short and a valid longSetup appears → EXIT.
- You’re long and a valid shortSetup appears → EXIT.
• This is basically: “Close or reduce — the other side just took control.”
• It’s not just a trailing stop hit; it’s a regime flip warning.
7. Stop, Target, and Trailing
• On every new setup, the script records:
- Initial stop: recent swing beyond the defended level (below support for longs, above resistance for shorts).
- Initial target: recent opposing swing.
• While you’re in position, if new confirming diamonds print in your favor, the stop can trail toward the new defended level.
• This creates structure-based risk management (not just fixed % or ATR).
8. Reference Levels
• The strategy also plots prior higher-timeframe closes (last week’s close, last month’s close, last year’s close). These can behave as magnets or stall points.
• They’re helpful for take-profit timing and for reading “are we trading above or below last month’s close?”
9. Momentum Panel (hidden by default)
• Internally, the script calculates an SMI-style momentum oscillator with overbought/oversold zones.
• This is optional visual confirmation and does not drive the core entry/exit logic.
---------------------------------
WHAT A TRADE LOOKS LIKE IN REAL PRICE ACTION
---------------------------------
Early warning
• Yellow W + red diamonds + red down arrows = “This is getting weak. Short setups are here.”
• You may also see something like “My Short Entry Id.” That’s where the short side actually engages.
Bearish follow-through, then exhaustion
• Price bleeds down.
• Then the orange EXIT appears.
→ Translation: “If you’re still short, close it. Buyers are stepping in hard. Risk of reversal is now high.”
Regime flip
• Right after EXIT, multiple green BUY arrows fire together (“BUY”, “BUYZone”).
• That’s the true long trigger.
→ This is where you either enter long or flip from short to long.
Expansion leg
• After that flip, price rips up for multiple candles / days / weeks.
• While it runs:
- Green diamonds appear under pullbacks → “dip buy zones / trail stop up here.”
- More BUY arrows show on minor pullbacks → continuation long / scale adds.
Distribution / topping
• Later, you start seeing new yellow W triangles again near local highs. That’s your “careful, this might be topping” warning.
• You finally get a hard red candle, and green diamonds stop stacking.
→ That’s where you tighten risk, scale out, or assume the move is mature.
In plain terms, the model is doing the following for you:
• It puts you short during weakness.
• It tells you when to get OUT of the short.
• It flips you long right as control changes.
• It gives you a structure-based trail the whole way up.
• It warns you again when momentum at the top starts cracking.
That is exactly how the logic was designed.
---------------------------------
QUICK INTERPRETATION CHEAT SHEET
---------------------------------
🔻 Red triangle + “Short Entry” near a red diamond
→ Short entry zone (or take profit on a long).
🟥 Red diamond above bar
→ Sellers defended here. Treat it as resistance. Good place to trail short stops just above that level. Avoid chasing longs straight into it.
🟨 Yellow W
→ Attention only. Early pressure / possible turn. Not fully confirmed.
🟧 EXIT (orange label)
→ The opposite side just printed a real setup. Close the old idea (cover shorts if you’re short, exit longs if you’re long). Thesis invalid.
🟩 Burst of green BUY triangles after EXIT
→ Long entry. Also a “cover shorts now” alert. This is the core money entry in bullish reversals.
💎 Green diamond below bar
→ Bulls defended that level. Good for trailing your long stop up, and good “buy the dip in trend” locations.
📈 Blue / teal MAs stacked and rising
→ Confirmed bullish structure. You’re in trend continuation mode, so dips are opportunities, not automatic exits.
---------------------------------
COLOR / SHAPE KEY
---------------------------------
• Green triangle up (“BUY”, “BUY Zone”):
Long entry / cover shorts / continuation long trigger.
• Red triangle down:
Short entry / take profit on longs / continuation short trigger.
• Orange “EXIT” label:
Opposite side just fired a real setup. The previous trade thesis is now invalid.
• Green diamond below price:
Bullish defended support in an uptrend. Use for dip buys, trailing stops on longs, and objective cover zones for shorts.
• Red diamond above price:
Bearish defended resistance in a downtrend. Use for re-entry shorts, trailing stops on shorts, and objective scale-out zones for longs.
• Yellow “W”:
Weak / early potential setup. Watch it, don’t blindly trust it.
• Moving average bands (fast MA, slow MA, Hull MA):
When stacked and rising, bullish control. When stacked and falling, bearish control.
---------------------------------
INTENT
---------------------------------
This system is built to:
• Trade with momentum, not against it.
• Enter on pullbacks into proven structure, not chase stretched breakouts.
• Automate stop/target logic around actual defended swing levels.
• Warn you when the other side takes over so you don’t give back gains.
Typical usage:
1. In an uptrend, wait for price to pull back, print a green diamond (support proved), then take the first BUY arrow that fires.
2. In a downtrend, wait for a bounce into resistance, print a red diamond (sellers proved), then take the first SELL arrow that fires.
3. Respect EXIT when it appears — that’s the model saying “this trade is done.”
---------------------------------
DISCLAIMER
---------------------------------
This script is for educational and research purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any security, cryptoasset, or derivative. Markets carry risk. Past performance does not guarantee future results. You are fully responsible for your own decisions, position sizing, risk management, and compliance with all applicable laws and regulations.
HEK Dynamic Price Channel StrategyHEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
Iriza4 -DAX EMA+HULL+ADX TP40 SL205 MIN SKALP. Additional filters improve accuracy: the strategy blocks trades after too many consecutive bullish or bearish candles (streak filter) and ignores signals when price is too far from the EMA (measured by ATR distance).
Each position uses a fixed risk-to-reward ratio of 1 : 2 with clear stop-loss and take-profit targets, without partial exits or breakevens. The goal is to identify clean pullbacks inside strong trends and filter out late or exhausted entries
