💸 DCA Accumulation Strategy (USD‑Based Scaling)Buy when blue arrow appears, if the next arrow is lower than the last increase your position. This will pull your average cost down slowly over time.
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Futures Fighter MO: Multi-Confluence Day Trading System ADX/SMI👋 Strategy Overview: The Multi-Confluence Mashup
The Futures Fighter MO is a comprehensive, multi-layered day trading strategy designed for experienced traders focusing on high-liquidity futures contracts (e.g., NQ, ES, R2K).
This strategy is a sophisticated mashup that uses the 1-minute chart for surgical entries while enforcing strict environmental filtering through higher-timeframe data. We aim to capture high-conviction moves only when multiple, uncorrelated signals align.
🧠 How the Logic Works (Concepts & Confluence)
Our logic is built on four pillars, which must align for a trade to be executed:
Primary Trend Filter
Indicators :
ADX/DMI (15-Minute Lookback)
Role :
Price action is filtered to ensure the ADX (17/14) is above 25, confirming a strong, prevailing market trend (Bullish or Bearish). Trades are strictly rejected during "Flat" (sideways) market regimes.
Entry Signal Types
The system uses multiple entry types:
- 🟢 Trend Long/Short: A breakout/rejection near the 200-Period EMA is confirmed by the primary ADX trend.
- 🔴 Engulfing Rejection: A strong signal when a Bullish/Bearish Engulfing or Doji prints near the long-term 500-Period EMA (emaGOD) while the Stochastic Momentum Index (SMI on 30M) is in an extreme overbought/oversold state (below $-40$ or above $40$).
Volatility & Volume Confirmation
Indicators: Average True Range (ATR) and 20-Period SMA of Volume
Role: Every entry requires a volume spike (Current Volume $> 1.5 \times$ SMA Volume) to confirm that the move is supported by significant liquidity. Volatility is tracked via ATR to define bar range and stop boundaries.
Structural Guardrails
Indicators: Daily Pivot Points (PP, S1-S3, R1-R3)
Role: Trades are disabled if the current bar's price range intersects with a Daily Pivot Point. This is a critical filter to avoid high-chop consolidation zones near key structural levels.
📊 Strategy Results & Required Disclosures
I strive to publish backtesting results that are transparent and realistic for the retail futures trader.
- Initial Capital: $50,000 - A realistic base for Mini/Micro futures contracts.
- Order Size: 1 Contract (Pyramiding up to 3) - Conservative risk relative to the account size.
- Commission: $0.11 USD per order - Represents realistic costs for low-cost brokers.
- Slippage: 2 Ticks - Accounts for expected market friction.
⚠️ Risk Management & Deviations
Stop-Loss: The strategy uses a dynamic stop-loss system where positions are closed upon a reversal (e.g., breaking the 50-Period EMA or failure to hold a Pivot Point), rather than a fixed tick-based stop. This is suited for experienced traders using a low relative risk (single Micro-contract entry) on a larger account. Users must confirm that the first entry's maximum potential loss remains below $10\%$ of their capital for compliance.
Trade Sample Size: Due to data limitations of the TradingView Essential plan (showing $\approx 50$ trades over 2 weeks), the sample size is under the ideal $100+$ target. Justification: This system is designed to generate signals across a portfolio of correlated futures markets (NQ, ES, R2K, Gold, Crude), meaning the real sample size for a user tracking the portfolio is significantly higher.
Drawdown Control: This strategy is designed for manual management. It requires the user to turn the script/alerts OFF after a significant drawdown and only reactivate it once a recovery trend is established externally.
The strategy uses a combination of dynamic trailing stops, structural support/resistance zones, and a fixed profit target to manage open positions.
🛑 Strategy Exit Logic
1. General Stop-Loss (Dynamic Trailing Stop)
These conditions act as the primary dynamic stop, closing the position if the market reverses past a key Moving Average (MA):
- Long Positions Closed When: The current bar's close crosses under the 50-Period EMA (emaLong).
- Short Positions Closed When: The current bar's close crosses above the 50-Period EMA (emaLong).
2. Profit Target (Fixed Percentage)
The script includes a general exit based on a user-defined profit percentage:
Take Profit Trigger: The position is closed when the currentProfitPercent meets or exceeds the input Profit Target (%) (default is 1.0% of the entry price).
3. Structural Exits (Daily Pivot Points)
These exits are high-priority, "close all" orders that trigger when the price fails to hold or reclaims a recent Daily Pivot Point, suggesting a failure of the current move.
- VR Close All - Long ($\sym{size} > 0$) - Price crosses under a Daily Resistance Level (R1, R2, or R3) minus 1 ATR within the last 10 bars. This indicates the current momentum failed to hold Resistance as support.
- VS Close All - Short ($\sym{size} < 0$) - Price crosses above a Daily Support Level (S1, S2, or S3) plus 1 ATR within the last 10 bars. This indicates the current momentum failed to hold Support as resistance.
4. Trend Failure Exit (Trend-Following Signals Only)
This exit protects against holding a position when the primary high-timeframe trend used for the entry has failed:
- Long Positions Closed When: The primary trend is no longer "bullish" for more than 2 consecutive bars (i.e., it turned "bearish" or "flat").
- Short Positions Closed When: The primary trend is no longer "bearish" for more than 2 consecutive bars (i.e., it turned "bullish" or "flat").
5. End of Day (EOD) Session Control
The final hard exits based on time:
- End of Session (EoS): At 11:30 AM, new trades are disabled (TradingDay := false). Open positions are kept.
- End of Day (EoD): At 1:30 PM, all remaining open positions are closed (strategy.close_all).
🤝 Development & Disclaimer
This script and description were created with assistance from Gemini and GitHub Copilot. My focus is on helping fellow real estate investors and day traders develop mechanically sound systems.
Disclaimer: This is for educational purposes only and does not constitute financial advice. Always abide by the Realtor Code and manage your own risk.
Smart Money Breakout & Order Block Strategy v2 (Algo)⚙️ Smart Money Breakout & Order Block Strategy v2 (Algo)
Created by: Shubham
Category: Smart Money Concepts • Breakout • Order Block • Volatility + Trend Algo
🧠 Description:
Smart Money Breakout & Order Block Strategy v2 (Algo) is an advanced version of the original system that blends Breakout Trading, Order Block Detection, and Supertrend Trend Confirmation .
It’s built to identify institutional-style entries with high momentum and manage them using dynamic ATR-based stops, trailing protection, and volatility-based filters.
This version is a full Algo system — optimized for performance, backtesting, and automated execution.
⚡ Major Improvements Over Older Version:
Supertrend Filter Added – Trades only in confirmed trend direction (Up = Long, Down = Short).
Supertrend Flip Exit – Automatically closes trades when Supertrend changes direction.
Hold N Candles Before Exit – Prevents early exits after entry, improving stability.
Advanced Exit Logic – Tracks bar of entry and allows conditional exit control.
Improved Volatility Filter – Avoids choppy or flat market conditions.
Algo-Only Mode – No visuals, lightweight logic for live or strategy-based execution.
Dynamic ATR Stops – Risk adapts automatically to market volatility.
More Controlled Breakout Logic – Cleaner structure and smarter order-block detection.
🧩 Core Concept:
Detects recent Support & Resistance Breakouts .
Spots Order Block / Gap Reversals for smart-money entry timing.
Confirms strong momentum with a Volatility Filter .
Applies Supertrend Trend Confirmation for direction filtering.
Manages risk using ATR-based dynamic stop loss and trailing protection .
Closes trades automatically on Supertrend Flip or trailing trigger.
Allows holding for a set number of candles before normal exits start.
⚙️ Adjustable Inputs:
Levels Period
Volatility Filter
ATR Multiplier
Hold N Candles Before Exit
Supertrend ATR Length
Supertrend Multiplier
ON/OFF for Supertrend Filter
🎯 Optimized & Tested Conditions:
Specially optimized and backtested for ETH/USDT on the 30-minute timeframe .
Verified and live-tested by me personally for consistency and reliability.
Performs strongly during trending sessions and volatility expansions.
Suitable for Crypto, Forex, and Index pairs with similar behavior.
💡 Trading Logic Summary:
Long Entry: Price breaks resistance → volatility passes filter → Supertrend UP → Buy.
Short Entry: Price breaks support → volatility passes filter → Supertrend DOWN → Sell.
Order Block Entries: Gap or block structure confirmed → entry triggered.
Stop Loss: ATR × Multiplier (auto-scaled).
Trailing Stop: Locks profits as price moves in favor.
Supertrend Flip: Instant exit to secure results.
Hold Period: Trade remains locked for defined bars before normal exit logic starts.
b]📊 Highlights:
Institutional logic simplified into an easy, automated algo.
Combines structure + trend + volatility for high-probability trades.
ATR and Supertrend make the system adaptive to all market conditions.
Fully automated — perfect for backtesting or live algo trading.
Tuned for ETH 30-min chart but can be adapted to other assets.
⚠️ Tips & Notes:
Adjust settings based on instrument volatility.
Use larger “Hold Candles” on lower timeframes to avoid false exits.
Always forward-test before going live on new markets.
Avoid overtrading during low-volume or sideways sessions.
Maintain single active position per direction for clarity.
✅ Summary:
Smart Money Breakout & Order Block Strategy v2 (Algo) combines institutional structure logic, volatility filters, and adaptive ATR risk control into one professional system.
Specially optimized and tested live on ETH 30-minute timeframe , it delivers precise, trend-aligned entries with smart exit management.
A clean, reliable, and automation-ready algo for serious traders.
Advanced Smart Money Algo for ETH (30m) — breakout + order-block entries with volatility and Supertrend filters, ATR-based dynamic stops. Tested live; invite-only soon — test now while it's free.
Two-Sided R1/S1 + Supertrend (Final v6)The core of this TradingView strategy combines classic intraday resistance with a volatility-based trend follower to identify strong breakout and breakdown opportunities while rigorously enforcing day trading rules.
This is an Intraday Mean Reversion / Trend Following strategy for the 5-minute (5m) chart with mandatory End-of-Day (EOD) closures.
In essence: You're only trading in the direction of the confirmed Supertrend when price action has demonstrated enough momentum to move past the important pivot support/resistance levels.
Adaptive Cortex Strategy (ACS)Strategy Title: Adaptive Cortex Strategy (ACS)
This script is invite-only.
Part 1: Philosophy and the Fundamental Problem It Solves
Adaptive Cortex Strategy (ACS) is an advanced decision support system designed to dynamically adapt to the ever-changing characteristics of the market. A major weakness of traditional approaches is that while successful in a specific market condition (e.g., a strong trend), they become ineffective when the market changes course (e.g., enters a sideways range). ACS solves this problem by continuously analyzing the market's current "regime" and instantly adapting its decision-making logic accordingly.
Its primary goal is to enable the strategy itself to "think" and evolve with the market, without requiring the trader to change their strategy.
Part 2: Original Methodology and Proprietary Logic
A Note on the Original Methodology and Intellectual Property
This algorithm is not based on or copied from any open-source strategy code. The system utilizes the mathematical principles of widely accepted indicators such as ADX, RSI, and Ichimoku as data sources for its analyses.
However, the intellectual property and unique value of the algorithm lies in its unique and closed-source architecture that processes, prioritizes, and synthesizes data from these standard tools. The methods used in core components, particularly the adaptive 'Cortex' memory system and statistical 'Forecast' engine, represent a unique set of logic developed from scratch for this script. The parameters, order of operations, and conditional logic are entirely custom-designed. Therefore, the system's performance is a result of its unique design, not a repetition of publicly available code.
ACS's power lies not in the individual indicators it uses, but in the unique and proprietary logic layers that process the information from these indicators.
1. Multi-Factor Scoring and Adaptive Weighting:
The heart of the methodology is a scoring system that analyzes the market in four main categories: Trend, Support/Resistance, Momentum, and Volume. However, what makes ACS unique is that it dynamically changes the importance it assigns to these categories based on the market regime.
Unique Application: Using ADX, DMI, and ATR indicators, the system detects whether the market is in different regimes, such as "Strong Trend" or "High Volatility Squeeze." When it detects a strong trend, it automatically increases the weight of the Trend scores from the Ichimoku and proprietary AMF Trend Engine. When it detects sideways or tightness, it shifts its focus to Support/Resistance zones determined by Dynamic Channels and the author's "Cortex" Memory System. A different approach was added here, inspired by the classic Fibonacci estimation. This "adaptive weighting" ensures that the strategy always focuses its attention on the most appropriate area.
2. Statistical Forecast Engine:
ACS goes beyond standard indicators and includes a proprietary forecasting algorithm that measures the probability of a potential price movement's success.
Unique Implementation: The system stores the results of past tests (successful bounces/breakouts) at key price levels in a "brain" (memory). At the time of a new test, it compares the current RSI momentum, volume anomalies, and market regime with similar past situations. Based on this comparison, it calculates the probability of the current test being successful as a statistical percentage and adds this percentage to the final score as a "bonus" or "penalty."
3. Walk-Forward Architecture:
Markets constantly evolve. ACS continues to learn from the latest market dynamics by resetting its memory at regular intervals (e.g., monthly) through its "Re-Learn Mode," rather than being trapped by old data. This is an advanced approach aimed at ensuring the strategy remains current and effective over the long term.
Part 3: Practical Features and User Benefits
HOW DOES IT HELP INVESTORS?
Customizable Trading Profiles: ACS does not come with a single set of settings. Users can instantly adapt all the algorithm's key periods and decision thresholds to their trading style by selecting one of the pre-configured trading profiles, such as "SCALPING," "INTRADAY TREND," or "SWING TRADE." Additionally, they can further fine-tune the selected profile with "Speed Adjustment."
Full Automation Compatibility (JSON): The strategy is equipped with fully configurable JSON-formatted alert messages for buy, sell, and position closing transactions. This makes it possible to establish a fully automated trading system by connecting ACS signals to automation platforms such as 3Commas and PineConnector. Dynamic values such as position size ({{strategy.order.contracts}}) are automatically added to alerts.
Advanced and Adaptive Risk Management: Protecting capital is as important as making a profit. ACS offers a multi-layered risk management framework for this purpose:
Flexible Position Size: Allows you to set the risk for each trade as a percentage of capital or a fixed dollar amount.
Adaptive ATR Stop: The stop-loss level is dynamically expanded or contracted based on current market volatility (the ratio of short-term ATR to long-term ATR).
Contingency Mechanisms: Includes safety nets such as "Maximum Drawdown Protection" and the "Praetorian Guard" engine, which detects sudden market shocks.
Clear and Comprehensible Dashboard: Transforms dozens of complex data points into an intuitive dashboard that provides critical information such as market trends, major trends, support/resistance zones, and final signals at a glance.
Section 4: Disclaimers and Rules
Transparency Note: This algorithm uses the mathematical foundations of publicly available indicators such as ADX, ATR, RSI, and Ichimoku. However, ACS's intellectual property and unique value lies in its unique architecture, which combines data from these standard tools, prioritizes it by market trend, and synthesizes it with its proprietary "Cortex" and "Statistical Forecast" engines.
Educational Use:
IMPORTANT WARNING: The Adaptive Cortex Strategy is a professional decision support and analysis tool. It is NOT a system that promises "guaranteed profits." All trading activities involve the risk of capital loss. Past performance is no guarantee of future results. All signals and analysis generated by this script are for educational purposes only and should not be construed as investment advice. Users are solely responsible for applying their own risk management rules and making their final trading decisions.
Strategy Backtest Information
Please remember that past performance is not indicative of future results. The published chart and performance report were generated on the 4-hour timeframe of the BTC/USD pair with the following settings:
Test Period: January 1, 2016 - November 2, 2025
Default Position Size: 15% of Capital
Pyramiding: Closed
Commission: 0.0008
Slippage: 2 ticks (Please enter the slippage you used in your own tests)
Testing Approach: The published test includes 123 trades and is statistically significant. It is strongly recommended that you test on different assets and timeframes for your own analysis. The default settings are a template and should be adjusted by the user for their own analysis.
量化多空策略 4H趋势+15M进场(高胜率高R:R·完整报警版)这是一套结合多周期结构(4小时趋势 + 15分钟入场)的量化交易策略,
核心理念是「顺势而为 + 动量二次确认 + 高R:R风险控制」。
策略特点:
• 使用 4H EMA 趋势判定方向
• 结合 15m RSI + MACD 动量信号确认入场
• 二次确认(2~3 根内突破 + 动量共振)过滤假信号
• 自适应止盈止损(基于 ATR 和 ADX)
• 全自动计算 R:R、冷却周期、成交量放大过滤
适用场景
• 加密货币(BTC、ETH、SOL、BNB 等)
• 黄金 / 外汇 / 指数CFD
• 15m~1h短线趋势盯盘
• 适合希望提高信号质量、过滤假突破的交易者
注意事项
• 该策略为研究与教学用途,不构成投资建议
• 实盘前请先在回测与模拟盘验证参数
• 适度调整「确认根数」「R:R」「ADX阈值」以适应不同市场波动性
This is a multi-timeframe quantitative trading strategy combining the 4-hour trend with 15-minute entry signals.
Its core philosophy is “Trend following + Momentum confirmation + High R:R risk control.”
Key Features
• Uses 4H EMA structure to determine market trend
• Combines 15m RSI + MACD momentum for entry confirmation
• Dual confirmation within 2–3 bars (breakout + momentum alignment) to filter false signals
• Adaptive take-profit and stop-loss based on ATR and ADX
• Automatically calculates Risk/Reward ratio, cooldown period, and volume expansion filters
Best Use Cases
• Cryptocurrencies (BTC, ETH, SOL, BNB, etc.)
• Gold / Forex / Index CFDs
• Short-term trend tracking (15m–1h)
• Traders aiming to improve signal quality and avoid false breakouts
Notes
• This strategy is for research and educational purposes only — not financial advice.
• Always backtest and paper trade before live deployment.
• Adjust confirmation bars, R:R ratio, and ADX threshold to suit different market volatilities.
Wyckoff Spring Gold System LICENSESystematic Strategy for Trading Gold - LICENSE VERSION
This strategy is designed with maximum simplicity and robustness in mind:
Clear and objective entry and exit rules.
Solid, predefined risk management.
Fully automated execution directly from TradingView.
The strategy trades exclusively on the long side to capitalize on gold’s structural bullish bias and is specifically designed for the 4-hour timeframe.
The Edge
The system exploits a pure price-action pattern related to liquidity hunting: after a spring, the market often initiates a strong bullish impulse.
Since it does not rely on indicators or fragile parameters, it remains consistent and stable across different market conditions, minimizing the risk of overfitting.
The Pattern
The following is a representative example of the type of move the strategy aims to capture:
Results – Full Backtest
The strategy has been validated from 2005 to the present, covering multiple market cycles and volatility regimes.
The following image shows the full performance of the strategy over the entire historical dataset:
Key metrics filter version (1 GC contract, realistic costs and slippage included):
Annualized Net Profit: 12.6%
Profit Factor: 1.36
Max Drawdown: $17,000
Win Rate: 60%
Average Trade: $215
Results are hypothetical and provided for educational purposes only.
Past performance does not guarantee future results.
Documentation
A detailed explanation of the system logic, filters, and integration examples is provided within this script’s description and tooltips.
This script is intended for educational and analytical purposes.
It demonstrates how to build, validate, and maintain a robust trading model over time.
Asian Session Sweep Reversal This strategy identifies liquidity sweeps of the Asian session range (09:00–15:00 JST) and trades the first confirmed reversal in the opposite direction — but only within the London morning window (08:00–12:00 Europe/Berlin).
Core Logic:
Marks the Asian session high and low (fixed Tokyo timezone, no DST).
After the Asian range ends, the first sweep of either the high or low triggers a watch for a reversal candle.
When a bearish candle forms after a high sweep, a Sell Stop is placed below the candle’s wick.
When a bullish candle forms after a low sweep, a Buy Stop is placed above the candle’s wick.
Orders are valid for 1 bar only; unfilled trades are canceled automatically.
Each day allows only one trade, taking the direction of the first sweep (either long or short).
The fixed risk/reward ratio is 1:2 (Take Profit = 2× Stop Loss).
Features:
Automatically detects and visualizes the Asian range.
Works consistently year-round (using Tokyo time).
Optional box display for the range.
Clear signal markers for entries.
Designed for clean backtesting with daily trade control.
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.
High Accuracy Engulfing Strategy [PIPNEXUS]Title: EMA Engulfing Setup
Description:
This indicator focuses on identifying strong engulfing patterns that form around the EMA line, helping traders catch high-probability moves in line with market direction.
Concept Overview:
The idea is simple — when both the engulfing candle and the candle being engulfed have their bodies touching the EMA line, it often represents a key point of rejection or continuation. These areas can produce clean entries with strong momentum.
How to Use:
1. Wait for a valid engulfing formation near the EMA line.
Both the engulfing and the engulfed candles should have their bodies touching the EMA.
2. Enter in the direction of the engulfing candle once the pattern is confirmed.
3. For pinpoint entries, observe the market during session changes (especially in the first 3–5 minutes after a session opens).
4. For longer and more stable trades, look for the same pattern on 15-minute or 1-hour charts.
5. Always align your trades with the prevailing market structure and avoid counter-trend setups.
Note:
This indicator is designed for technical and educational use. It does not generate buy or sell signals automatically, nor does it guarantee performance. Use it alongside your own market analysis and proper risk management.
Connors Double Seven (with options)Rules (original, long-only)
Trade only when Close > 200-day SMA.
Entry: Buy when Close makes a 7-day low.
Exit: Sell when Close makes a 7-day high.
KCB Strategy [Ncentry]This strategy is a strong trend breaking strategy based on the Keltner channel.
Optimized for the bitcoin okx exchange chart.
Krist1aqq - Premium Signal SystemTo get the indicator, write to Telegram: @ASTRO_rou
This indicator gives signals to long or short, and also has custom notifications in telegram via a webhook, you will know the information at the entrance, when taking takes, as well as when closing a position. The indicator is suitable for a 15min - 4h timeframe.
AnkeAlgo A68 strategy™ || AnkeAlgo®[16.6]## ✅ Multi-Timeframe Trend Strategy Based on MFI and Momentum Factors
### 📌 Overview
This strategy combines **Money Flow Index (MFI)** and **Momentum** to identify trend continuation and momentum reversal opportunities in the crypto market. It focuses on volume-weighted capital flow and price strength, generating trend-biased signals suitable for swing and intraday traders.
---
### 📊 Technical Indicators Used
| Indicator | Purpose |
|-----------|---------|
| **MFI (Money Flow Index)** | Detects capital inflow/outflow and filters range-bound markets |
| **Momentum Indicator** | Measures price acceleration and confirms breakout strength |
| **Optional: ATR / EMA Filters** | Can be added for volatility stop or trend validation |
---
### ⚙️ Core Logic
- **Trend Confirmation**: MFI exceeds threshold and aligns with price direction
- **Momentum Entry Trigger**: Trades are executed only when momentum crosses a signal level
- **Noise Filter**: Avoids entries when MFI divergence or momentum weakness is detected
- **Position Management**: Supports ATR-based or percentage-based stop-loss systems
---
### 🪙 Market and Asset
✅ Designed for crypto derivatives
**Recommended symbol:** `ETHUSDT.P` (Perpetual Futures)
---
### ⏱️ Recommended Timeframes
- 30-minute
- 45-minute
- 1-hour
> The **45m timeframe** shows the most stable performance in forward testing.
---
### 📈 Strategy Features
- Performs best during trending and high-momentum phases
- Low overfitting risk, adaptable across different volatility environments
- Can be used as a signal engine for grid, martingale, or multi-asset systems
- Easily extendable to BTC, SOL, BNB, and other high-liquidity assets
---
### ⚠️ Risk Disclaimer
- This is **not** a mean-reversion strategy and may produce false signals in sideways markets
- Stop-loss management and position sizing are required for live deployment
- Backtest results do not guarantee live trading performance due to slippage and trading fees
---
Krist1aqq | 15-45min+To get the indicator, write to Telegram: @ASTRO_rou
This indicator gives signals to long or short, and also has custom notifications in telegram via a webhook, you will know the information at the entrance, when taking takes, as well as when closing a position. The indicator is suitable for a 15min - 4h timeframe.
MACD 3P共振
三周期 MACD 同時金/死叉,且遠離零軸 N% 股價才進場。
小周期給訊號 + ATR 止損,RR 止盈。
可關中/大周期,靈活抓短線或波段。
圖表標 L/S + SL/TP 線,一目了然。
Triple-timeframe MACD cross + far from zero = entry.
ATR stop, RR profit. Toggle mid/big TF.
Shows L/S + SL/TP lines.
Clean. Sharp. Works.
Aurora Vigor 2.2 (Bearish Edition)VENZITECH ALGO (Bearish Edition)
I. Strategy Purpose and Design
The Aurora Vigor 2.2 (Bearish Edition) is a fully automated, single-sided (Short-Only), volatility-adapted strategy designed for high-frequency trading and scalping. Its objective is to capture short-term downside momentum by applying a highly filtered, layered system that confirms bearish conviction across trend, momentum, and volume.
The strategy confines its trading activity to a defined institutional liquidity window (e.g., 12:00 UTC to 20:00 UTC) to maximize the probability of price continuation following a signal.
II. Core Concepts and Entry Logic
The strategy uses a combination of adaptive indicators to generate high-conviction short signals:
Adaptive Crossover Signal (KAMA): The primary signal is generated from the cross-under of a fast and slow Kaufman Adaptive Moving Average (KAMA). KAMA's unique formula dynamically adjusts its smoothing factor based on market volatility, providing a more responsive and less lagged signal for high-speed scalping compared to standard EMAs, making it ideal for identifying short-term trend exhaustion.
Global Directional Confirmation (GDC) Filter: The KAMA signal is filtered by a slower, higher-period EMA system (e.g., 50 and 200 periods) to ensure trades are only initiated when the broad trend is confirmed to be bearish. A proprietary Price Retest filter then requires a candlestick high to specifically tag the area around the shorter-term GDC EMA (e.g., EMA 50) before the entry, confirming that the market has respected resistance before continuing its downward move.
Momentum and Volume Filters (Bearish Conviction):
An Average Directional Index (ADX) threshold is required to confirm that sufficient directional force is present.
A below-threshold reading on the Relative Strength Index (RSI) is used to validate the necessary momentum for a short trade.
A negative reading on the Chaikin Money Flow (CMF) filter, combined with a Volume Moving Average check, is used to confirm that money flow and volume are supporting the bearish thesis.
III. Dynamic Risk and Exit Management
All risk and exit parameters are dynamically calculated to ensure position sizing is consistent across different market conditions.
Volatility-Based Sizing: The initial Stop Loss (SL) distance is calculated using the Average True Range (ATR). The strategy then uses this distance, combined with the user-defined "Max Risk per Trade (USD)" input (default $10.00), to automatically determine the position's contract quantity, maintaining a fixed dollar risk per trade.
Daily Risk Limits: The strategy enforces hard stops for daily performance, including a Max Daily Loss threshold (default $500.00) and a Minimum Daily Profit Floor (default $110.00) that triggers a capital preservation exit mode if profit drops below the floor.
Tiered Exit System: A sophisticated multi-stage exit system manages the open position:
A partial amount of the position is exited at a fixed, calculated Take Profit (TP) target.
The remaining position is protected by a Breakeven stop that moves to a fixed safety distance (e.g., entry minus one tick) once a small profit target is met.
Finally, a highly adaptive Trailing Stop dynamically adjusts its sensitivity (trail points and offset) based on how far the trade progresses into profit, ensuring gains are locked in efficiently as the price moves in the desired direction.
IV. Compliance and Backtesting Practices
The default parameters used in the published backtest demonstrate a sustainable risk profile. The strategy is configured to use a realistic contract size based on ATR and is capped by the low Max Risk per Trade (USD) input, ensuring the risk exposure is well below common best practices (5-10% equity risk per trade). All results are generated using realistic commission and slippage settings. Past performance is not indicative of future results, and trading carries a high degree of risk.
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.
Tristan's Multi-Indicator Reversal StrategyMulti-Indicator Reversal Strategy - Buy Low, Sell High
A comprehensive reversal detection system that combines multiple proven technical indicators to identify high-probability entry points for catching reversals at market extremes.
📊 Strategy Overview
This strategy is designed for traders who want to buy at lows and sell at highs by detecting when stocks are overextended and ready to reverse. It works by requiring multiple technical indicators to align before generating a signal, significantly reducing false entries.
Best Used On:
Timeframe: 1-hour charts (also works on 15min, 30min, 4hour)
Session: NY Trading Session (9:30 AM - 4:00 PM ET)
Assets: Stocks, ETFs, Crypto (particularly volatile tech stocks like ZM, TSLA, AAPL)
Trading Style: Swing trading, Intraday reversals
🔧 Technical Components
The strategy combines FIVE powerful technical indicators:
1. RSI (Relative Strength Index)
2. MACD (Moving Average Convergence Divergence)
3. Williams %R
4. Bollinger Bands
5. Volume Analysis
6. Divergence Detection (Optional)
🎨 Visual Signals
Entry Signals:
🟢 Green Triangle (below candle) = BUY LONG signal
🔴 Red Triangle (above candle) = SELL SHORT signal
Exit Signals:
🟣 Purple Label = Position closed (shows "x2", "x3" if multiple entries)
Additional Indicators:
💎 Aqua Diamond = Bullish divergence detected
💎 Fuchsia Diamond = Bearish divergence detected
🔵 Blue Background = NY Session active
🟡 Yellow Bar Tint = Volume spike detected
⚪ Small Circles = Near-signal conditions (2+ indicators aligned)
Live Counter:
Top corner shows: "Bull: X/4" and "Bear: X/4"
Indicates how many indicators currently align
⚙️ How to Use This Strategy
For Beginners (More Signals):
Set "Min Indicators Aligned" to 2
Turn OFF "Require Divergence"
Turn OFF "Require Volume Spike"
Turn OFF "Require Reversal Candle Pattern"
Keep "Allow Multiple Entries" OFF
This gives you more frequent signals to learn from.
For Advanced Traders (High Probability):
Set "Min Indicators Aligned" to 3 or 4
Turn ON "Require Divergence"
Turn ON "Require Volume Spike"
Turn ON "Require Reversal Candle Pattern"
Adjust stop loss to your risk tolerance
This filters for only the highest-quality setups.
Recommended Settings for 1-Hour Charts:
Min Indicators Aligned: 3
Stop Loss: 2.5%
Take Profit: 5.0%
RSI Length: 14
Williams %R Length: 14
Volume Multiplier: 1.5x
Session: NY only (for stocks)
BUY SIGNAL generated when:
2-4 indicators show oversold/bullish conditions:
RSI < 30 and turning up
MACD crossing bullish or histogram positive
Williams %R < -80 and turning up
Price at/below lower Bollinger Band
Optional confirmations (if enabled):
Bullish divergence detected
Volume spike present
Bullish reversal candle pattern
Session filter: Signals only during NY trading hours
SELL SIGNAL Generated When:
2-4 indicators show overbought/bearish conditions:
RSI > 70 and turning down
MACD crossing bearish or histogram negative
Williams %R > -20 and turning down
Price at/above upper Bollinger Band
Optional confirmations (if enabled):
Bearish divergence detected
Volume spike present
Bearish reversal candle pattern
🛡️ Risk Management Features
Automatic Stop Loss: Protects capital (default 2.5%)
Take Profit Target: Locks in gains (default 5.0%)
Pyramiding Control: Toggle to prevent position stacking
Session Filter: Avoids overnight risk and low-liquidity periods
Position Flipping: Automatically reverses when opposite signal appears
💡 Best Practices
✅ DO:
Wait for candle close before entering (built into strategy)
Use on volatile assets with clear trends
Combine with your own analysis and risk management
Backtest on your specific assets and timeframes
Start with paper trading to learn the signals
Adjust indicator requirements based on market conditions
❌ DON'T:
Use on very low timeframes (<5 min) without adjustment
Ignore the session filter on stocks
Use maximum leverage - these are reversal trades
Trade during major news events or earnings
Expect 100% win rate - focus on risk/reward ratio
📊 Performance Notes
This strategy prioritizes quality over quantity. With default settings, you may see:
2-5 signals per week on 1-hour charts
Higher win rate with stricter settings (3-4 indicators aligned)
Best performance during trending markets with clear reversals
Reduced performance in choppy, sideways markets
Tip: Adjust "Min Indicators Aligned" based on market conditions:
Trending markets: Use 3-4 (fewer but stronger signals)
Range-bound markets: Use 2 (more signals, but watch for false breakouts)
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)
✅ 0 losses — built-in No-Loss Exit (covers fees + slippage)
✅ +270% over 2 years (backtest + live OKX Spot)
✅ 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
• No losses — exits only in profit
• Fully tested — 2 years live data
• Instant delivery — lifetime access
💰 PRICE: $5000 (lifetime) or $199/month
🎁 First 5 buyers — 50% OFF ($2500)
📩 Support: @ProfitLockBot (Telegram) — setup help + updates
BUY NOW — LOCK YOUR PROFITS FOREVER
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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✅ 100% подтверждённые сигналы — БЕЗ ПЕРЕРИСОВКИ (только по закрытому бару)
✅ 0 убытков — встроенный No-Loss выход (учтены комиссии + проскальзывание)
✅ +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
3. Запусти 24/7 — без контроля
4. Прибыль — без просадки, без стресса
💎 ПОЧЕМУ КУПИТЬ?
• Без перерисовки — сигналы фиксированы на закрытии бара
• Без убытков — выход только в плюс
• Полностью протестировано — 2 года реальных данных
• Мгновенная доставка — пожизненный доступ
💰 ЦЕНА: $5000 (пожизненно) или $199/мес
🎁 Первые 5 покупателей — СКИДКА 50% ($2500)
📩 Поддержка: @ProfitLockBot (Telegram) — помощь с настройкой + обновления
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.
MSB Gold Trend Breakout [TV]: The High-Stability Gold Scalper🏆 MSB Gold Trend Breakout : The High-Stability Gold Scalper
This is the official signal for the MSB Pro brand, designed for traders who demand low-drawdown, consistent performance on the XAUUSD (Gold) market.
📈 Verified Performance & Risk Contro l
The strategy's stability has been verified over 1.8 years of historical data.
Max Drawdown (DD): 12.53% (Exceptional capital safety.)
Total Net Profit (1.8 Yrs): +8.15% (Consistent Growth.)
Profit Factor: 1.055 (Proven reliability.)
🛡️ Why Choose This Signal?
True Risk Control: The low drawdown is achieved through a strict EMA filtering system, preventing entry into high-volatility, directionless markets.
Breakout Logic: Uses high-probability breakout movements confirmed by trend alignment (EMA Cross and Trend Filter).
No Martingale/Grid: This is a safe, single-order strategy.
👑 Upgrade to Full License
This signal is priced low to allow you to validate the performance.
Upgrade to the full license ($499) to get:
Lifetime Updates & Future Strategy: Guaranteed access to all future professional upgrades of the MSB Pro Dynamic Risk strategy (V2.0, V3.0, etc.) at no extra cost.
Significant Savings: Purchasing the full license is significantly cheaper than continuous renting.






















