Customer Short strategy A5.1 + Session + CBL SLFor my customer.
HalfTrend Directional Framework (A5.1)
Used for primary trend recognition and breakout validation.
Session-Based Volatility Windows
Trades only occur within specific high-liquidity windows (e.g., 08:30–12:30 and 12:30–16:30), improving fill quality and reducing noise.
Three-Bar Opening Range Model
The first three 5-minute bars define:
session high
session low
These become structural breakout levels:
price > range high → long-bias
price < range low → short-bias
CBL (Guppy Count-Back Line) Stop-Loss
Instead of using ATR or static percentage stops, Libra_S relies on CBL to:
avoid premature exits during healthy pullbacks
capture trend persistence
provide structure-based invalidation
Search in scripts for "candle"
TrendReversalStrategy Description
This is a noise-filtered, intraday reversal strategy that uses advanced Hull Moving Average (HULL) crossovers to generate fast and reliable trade signals with minimal false breakouts.
Key Features:
Core Logic: The strategy employs a Hull Moving Average (HULL) calculated using three selectable MA modes—HMA, EHMA, or THMA. It generates buy signals when the signal line (SHULL) crosses below the main HULL line, and sell signals when SHULL crosses above HULL. This crossover approach identifies momentum reversals with reduced repainting.
Noise Filtering: Built-in cooldown mechanism prevents consecutive same-side signals, reducing whipsaws. Users can adjust the minimum bars between same-side signals (default: 2 bars) to customize signal frequency and filter noise.
Trend Filter (Optional): An optional EMA(100) trend filter allows traders to only take long trades above the 100-period EMA and short trades below it, adding directional bias and improving win rate on trending days.
Customizable Inputs:
MA Mode: Choose between HMA, EHMA, or THMA
Length: Default 16 (adjustable 1+)
Length Multiplier: Fine-tune HULL sensitivity
Cooldown Bars: Control signal frequency (1–50 bars)
Band Visualization: Toggle HULL band display for visual support/resistance
Trend Filter: Optional EMA(100) directional bias
Position Management: Reversal-style entries close opposing positions before entering new trades. Position sizing defaults to 10% of equity per trade (adjustable).
Ideal For: Intraday traders, scalpers, and swing traders seeking a clean, signal-based system with minimal false entries on volatile instruments.
Note: This strategy performs best on high-volatility assets and intraday timeframes (5m–60m). Backtest and paper trade before live deployment.
First Fvg Strategy with CHoCH Exits, Adaptive TP & Entry TimerA strategy that is purely based off of prices reaction to the first presented fair value gap at 9:30 market open. Works best on NASDAQ one minute timeframe. Experimental indicator for me to back test first presented fair value gap.
BTC BRD – Bullet-Proof Reversal StrategyBTC BRD – Bullet-Proof Reversal Strategy is a price-action based reversal system that turns your existing “Bullet-Proof Reversal Detector” into a fully backtestable TradingView strategy with built-in risk management. It is designed to catch clean swing reversals using pure market structure, then automatically place stop-loss and take-profit orders based on your preferred risk-reward settings.
## Core concept
The strategy identifies true swing highs and lows using pivots and then waits for a clear market structure shift before entering any trade. It looks for a higher low followed by a break of structure for longs, and a lower high followed by a break of structure for shorts, helping filter out many random spikes and fakeouts. This makes it suitable for traders who prefer clean, rule-based entries grounded in market structure rather than noisy, indicator-heavy setups.
## Entries and exits
- Long trades are triggered after a bullish higher-low plus a confirmed break above the last swing high.
- Short trades are triggered after a bearish lower-high plus a confirmed break below the last swing low.
- Every position is protected with an automatic stop-loss and a calculated take-profit, so each trade has a predefined risk and reward from the moment it is opened.
## Risk management
The strategy lets you control your risk with a configurable risk-reward ratio (RR) and flexible stop-loss options. You can choose between an ATR-based stop (ATR × multiplier) or a fixed percentage stop relative to the entry price. Once the stop distance is known, the take-profit level is automatically derived from your RR value, making trade sizing and evaluation more consistent across different pairs and timeframes.
## Use cases and recommendations
This script is ideal for swing and intraday traders who want to systematically test market-structure reversals on assets like Bitcoin or other volatile instruments. For best results, experiment with different timeframes and ATR/percentage settings, and always validate performance using the Strategy Tester before deploying it on live markets. Remember that no strategy is guaranteed to be profitable, so use proper risk management and adapt settings to your own style and risk tolerance.
ETH Sniper V2.1Scalps ETH on the 30 min timeframe starts at 9:30, need a 0.01% fee on exchanges for it to work properly.
EMA Trend Pro v5.0 5M ONLY — 策略版(1:1出30%+保本)Here is a clear, professional English description you can copy-paste directly (suitable for sharing with friends, investors, brokers, or posting on TradingView):
EMA Trend Pro v5.0 – Strategy Overview
This is a trend-following strategy designed for 15-minute charts on assets like XAUUSD, NASDAQ, BTC, and ETH.
Entry Rules
Buy when the 7, 14, and 21-period EMAs are aligned upward and the 14-period EMA crosses above the 144-period EMA (with ADX > 20 and volume confirmation).
Sell short when the EMAs are aligned downward and the 14-period EMA crosses below the 144-period EMA.
Risk Management
Initial stop-loss is placed at 1.8 × ATR below (long) or above (short) the entry price.
Position size is calculated to risk a fixed percentage of equity per trade.
Profit-Taking & Trade Management
When price reaches 1:1 reward-to-risk, 30% of the position is closed.
At the same moment, the stop-loss for the remaining 70% is moved to the entry price (breakeven).
The remaining position is split:
50% targets 1:2 reward-to-risk
50% targets 1:3 reward-to-risk (allowing big wins during strong trends)
Visualization
Clean colored bars extend to the right showing entry, stop-loss, and three take-profit levels.
Price labels clearly display "Entry", "SL", "TP1 1:1", "TP2 1:2", and "TP3 1:3".
Only the current trade is displayed for a clean chart.
Key Advantages
High win rate due to breakeven protection after 1R
Excellent reward-to-risk ratio that lets winners run
Fully automated, works on any market with clear trends
Professional look, easy to understand and explain
Perfect for swing traders who want consistent profits with limited downside risk.
Feel free to use this description on TradingView, in your trading journal, or when explaining the strategy to others!
If you want a shorter version (e.g., for TradingView description box) or a Chinese version, just let me know — I’ll give it to you right away! 😊
Scalping FVG Breakout (3R RR, 時間可調)Scalping
1. Taipei Open Time (time adjustable)
2. First 15mK Bar
3. Risk 1:3
4. Stop Loss
XiaoJiu_RSI_5m_Drop1_DCA✔ Automatic buy when RSI < 30
✔ Automatic averaging down for every 1 point drop in RSI (maximum 21 times)
✔ Automatic liquidation when RSI > 70
✔ 28U per average averaging down
✔ Automatically calculates weighted average cost
✔ Automatically displays actual profit
✔ Can be tested on any coin and at any time
✔ Complete DCA model
ASHOK 15 Novashok trial 15 nov 1845h
I have created this strategy to convert my chart pattern and MACD, EMA observations to tradeable logic.
For Albert**Strategy Name:** Agile Marketing Strategy
**Description:**
The Agile Marketing Strategy is a flexible and iterative approach to marketing that emphasizes rapid experimentation, customer feedback, and continuous improvement. This strategy enables marketers to adapt quickly to changing market conditions and customer needs, ensuring that marketing efforts remain relevant and effective.
**Key Principles:**
1. **Iterative Planning:** marketing activities are planned in short sprints, allowing for regular reassessment and adjustment of goals.
2. **Cross-Functional Teams:** collaboration between different departments (e.g., sales, product development, customer service) is encouraged to ensure a holistic approach to marketing.
3. **Data-Driven Decision Making:** decisions are based on real-time data and customer insights, enabling marketers to optimize their efforts for maximum impact.
4. **Continuous Learning:** the strategy promotes a culture of learning and experimentation, where marketers can test new ideas and learn from failures.
5. **Customer-Centric Approach:** understanding and meeting customer needs is prioritized through regular feedback and iterative improvements.
**Benefits:**
- **Increased Efficiency:** by focusing on iterative and incremental improvements, marketers can achieve better results with fewer resources.
- **Enhanced Customer Satisfaction:** a customer-centric approach helps to build stronger relationships and drive customer loyalty.
- **Faster Response to Market Changes:** the ability to quickly adapt to market trends and customer preferences ensures that marketing efforts remain effective.
- **Improved Collaboration:** cross-functional teams foster better communication and collaboration across departments.
- **Greater Innovation:** a culture of experimentation encourages marketers to explore new ideas and innovations.
High Breakout Strategy SmartMoneybreakout_lookback = input.int(52, title="Breakout Lookback Period", minval=1)
// Trend & Trailing Stop Filter
ema_length = input.int(15, title="EMA Length", minval=1)
// Risk Management
risk_percent = input.float(6.0, title="Risk Stop-Loss (%)", minval=0.1)
High Breakout Strategy SmartMoney// --- 1. INPUTS & CONFIGURATION ---
// Breakout
breakout_lookback = input.int(52, title="Breakout Lookback Period", minval=1)
// Trend & Trailing Stop Filter
ema_length = input.int(15, title="Stop EMA Length", minval=1)
// Risk Management
risk_percent = input.float(6.0, title="Risk Stop-Loss (%)", minval=0.1)
Crypto Scalping Strategy - High Win Rategrok first try. I used grok to create a scalping strategy that is automated for crypto scalp trading on 5-15 min intervals
Alain parfHammer signals only valid for longs above EMA200.
Inverted hammer signals only valid for shorts below EMA200.
EMA200 is plotted as an orange line.
US30 ORB 5m / 1m StrategyThis is Open range breakout strategy, its tested with Us30 only. You cant optimize or try. it seems profitable
Scalp Liquidity Strategy v1this strategy combines scalp signals with liquidity concepts. Protected Highs/Lows, Fair Valıue Gaps. Designed for scalp trading on lower time frames.
SY_Quant_AI_YJ✅ Improved and Compliant Description (for SY_Quant_AI_YJ)
Strategy Name: SY_Quant_AI_YJ
Type: Visual Trend System + MACD Cycle Filter + Smart Alerts
Status: Invite-Only / Visualization & Alerts Only (No order execution)
📌 Overview:
SY_Quant_AI_YJ is a trend-following visual strategy and alert system designed to help traders detect directional bias, time entries with MACD cross logic, and receive structured JSON-format push alerts. It combines Supertrend, EMA/SMA structures, and MACD cycles to build a coherent and actionable trend view, enhanced by visual stop-loss guidance and profit-taking alerts.
🔍 Core Logic:
This script integrates technical components into a multi-step trend confirmation framework:
Supertrend (ATR-based): Serves as the primary trend filter, reducing noise and false breakouts.
EMA-55, SMA-15, SMA-80: Help establish short- to mid-term trend structure.
MACD Cycle Crosses: Configurable for long, medium, or short cycles to adapt to different market phases.
Bar Coloring System: Highlights trend strength (e.g., green for strong bullish, red for bearish), assisting in quick decision-making.
Signal Confirmation: Entry signals (long/short) are confirmed by trend alignment, price structure, and MACD cycle phase.
⚙️ Default Settings:
Supertrend: ATR period 15, multiplier 3.1
MACD Mode: Selectable via dropdown (Long, Medium, Short Cycle)
Stop-Loss Logic: Automatically tied to Supertrend value at entry bar
Signal Filtering: Consecutive same-direction entries are blocked to avoid redundancy
No trading simulation: Entries and exits are visual only; alerts replace real trade execution
📈 Usage:
Long/Short signals are displayed using labelup / labeldown markers (“做多” / “做空”)
JSON-format alerts are triggered for:
✅ Entry zones (including stop-loss and entry range)
✅ Profit-taking when MACD reverses and position is floating in profit
Stop-loss guide lines plotted dynamically during active positions
Suitable for use on 15-minute to 4-hour charts
⚠️ Disclaimer:
This strategy does not simulate or execute trades. It is designed for monitoring and decision support only. All signals are informational and should be used alongside proper risk management and independent analysis. Past visual or alert performance does not guarantee future results.
🔑 Access:
To gain access to this invite-only script, please send a private message or contact us via the designated link. Access is reviewed and granted manually per user request.






















