Dazai – Streamlit-Powered Crypto Strategy Backtester

Dazai is a modular Python trading system paired with a Streamlit dashboard that simulates simple crypto trading strategies. It helps visualize how a retail trader might behave across different market conditions using historical BTC/USD data.

You can backtest and visualize two core strategies — including one built on a combination of industry-standard technical indicators.

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📊 Key Features

• 📈 Backtest BTC/USD data with just a CSV
• 🧠 Two strategies:
  • Moving Average Crossover
  • EARA Strategy (EMA, ADX, RSI, ATR combined)
• 🧮 Performance metrics: Win Rate, Sharpe Ratio, Drawdown
• 📉 Candlestick charts with buy/sell signal overlays
• ⚙️ Streamlit dashboard for quick testing and visualization

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🧠 Strategies Explained

• EMA Cross
  A simple moving average crossover strategy using short and long EMAs to generate trade signals.

• EARA (EMA-ADX-RSI-ATR Strategy)
  A custom strategy combining:

  • EMA for trend detection
  • ADX to filter trend strength
  • RSI to spot momentum exhaustion
  • ATR for volatility-aware conditions

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🧱 Project Structure

. ├── backtest/ │ ├── backtester.py │ └── result_analyzer.py ├── data/ │ └── btcusd_1h.csv ├── interface/ │ ├── pages/ │ │ ├── Loader.py │ │ ├── Backtester.py │ │ └── Visualizer.py │ └── app.py ├── log/ │ └── 2025-07-06_Moving_Average_Strategy.csv ├── strategies/ │ ├── MA.py │ └── EARA.py ├── utils/ │ ├── loader.py │ ├── indicator.py │ ├── logger.py │ ├── metrics.py │ └── trade_visualizer.py ├── README.md

🖥️ Dashboard Preview

🔹 Dashboard Home

🔹 Data Loader Page

🔹 Strategy Backtesting Interface

🔹 Trade Visualizer (Chart with Signals)

🔹 Strategy Performance Metrics

🚀 How to Run

Install requirements and launch the app:

pip install -r requirements.txt
streamlit run app.py

Future Scope

• Add more technical strategies (MACD, Bollinger, VWAP, etc.)
• Live data feeds from Binance
• Reinforcement learning agent for adaptive trading
• Portfolio performance dashboard