docs: add English README

README.en-US.md

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+
+# Yugong Quantitative Trading - Floolishman  
+
+**Floolishman** is specifically designed to overcome human weaknesses in trading, eliminating emotional factors such as fear of losses and fear of profit drawdowns through algorithms. The system provides a **compound strategy engine, dynamic risk management**, and **AI-assisted decision-making** to facilitate robust quantitative trading.
+
+---
+
+## 📋 Feature Overview
+
+### Core Trading Features
+- ✅ **Multi-Coin Monitoring**: Supports single-coin/all-coin modes, flexibly switching market coverage
+- ✅ **Intelligent Stop-Loss Mechanism**:
+  - ✈️ Trailing Take-Profit: Volatility-driven take-profit line automatically rises
+  - 🛑 Distance-based Stop-Loss: Triggered immediately when price deviates beyond threshold
+  - ⏳ Time-based Stop-Loss: Positions automatically closed upon timeout
+- ✅ **Position Modes**: Fixed position / Dynamic position (automatically adjusts based on market volatility)
+- ✅ **Entry Decision Engine**: Automatically calculates optimal entry points by integrating technical indicators (RSI, EMA, etc.)
+
+### Advanced Features
+- 📈 **Backtesting**: Supports historical candlestick backtesting, calculating win rate/profit ratio/max drawdown
+- 🤖 **AI Prediction Service**: TensorFlow deep learning model for price trend prediction (requires contact for access)
+- 📊 **Scoring Mechanism**: Weighted optimization based on strategy scores across multiple timeframes
+
+---
+
+## ⚡ Quick Deployment
+
+### 1. Exchange Configuration
+- Apply for Binance API: Ensure **Futures Trading permissions** are enabled  
+  _Recommended encryption: ED25519 (higher security)_
+- [API Application Guide](https://www.binance.com/zh-CN/support/faq/360002502072)
+
+### 2. Configuration File (config/bot.yaml)
+```yaml
+api:
+  encrypt: ED25519
+  key: ""
+  secret: ""
+  pem: ""
+```
+
+### 3. Run the Program
+```bash
+# Windows
+floolishman.exe
+
+# Mac/Linux
+chmod +x floolishman
+./floolishman
+```
+
+---
+
+## 📊 Backtesting System
+
+##### Data Fetching
+```bash
+
+go run cmd/tools/cmd.go download --pair ETHUSDT --timeframe 1m --futures --output ./testdata/eth-1m.csv --days 1
+```
+
+```bash
+# 测试移动止损策略在BTCUSDT的表现
+go run cmd/backtesting/main.go 
+```
+
+**Output Metrics List**:
+- Strategy Win Rate (Win Rate)
+- Profit/Loss Ratio (Profit Factor) 
+- Max Drawdown (Max Drawdown)
+- Sharpe Ratio (Sharpe Ratio)
+- Annualized Return (Annual Return)   
+
+---
+
+## 🤖 TensorFlow Prediction Service
+**Key Features**:
+- 🧠 Trend prediction model based on LSTM neural networks
+- 📉 Input Features: Price data + technical indicators such as RSI/MACD/Bollinger Bands
+- 🔮 Output Results: Probability predictions for price up/down over the next 5 time units
+_(Full functionality requires email application for activation)_
+
+---
+
+## ⚠️ Risk Disclaimer
+- This system is a **quantitative learning project** and is strictly prohibited for use in live trading.
+- Financial markets carry extremely high risks; users must assume all consequences independently.
+- The author does not guarantee the effectiveness of the strategies and assumes no responsibility for any trading losses.
+
+---
+
+### Latest Updates
+🆕 Integrated strategy backtesting module  
+🆕 Added support for TensorFlow model invocation  
+🆕 Optimized configuration wizard documentation  
+🆕 Added dynamic position control logic
+
+---
+
+## 📬 Technical Support
+
+**⚠️ Project Status Announcement**  
+Due to other commitments, this project has ceased updates and maintenance. For support or historical versions, please contact:  
+📧 Email: alex.qiubo@qq.com  
+📱 Telegram: @golantingquer