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#binance #bitget #blofin #bybit #crypto #crypto-bot #cryptocurrency #forex #futures #metatrader4 #metatrader5 #stock #tradestation #trading #trading-algorithms #trading-strategies #tradingbot

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README

🚀 Botara 3.0 - Advanced Futures Trading Bot

A sophisticated algorithmic trading system designed for cryptocurrency and forex futures markets. This bot implements a multi-indicator strategy with advanced risk management, position tracking, and real-time monitoring capabilities.

🎯 Overview

Botara 3.0 is the result of extensive research and development in algorithmic trading. It combines multiple technical indicators with sophisticated risk management to execute trades automatically on futures markets. The strategy has been thoroughly backtested using Bitget and Blofin candle data across multiple cryptocurrency and forex pairs, showing consistent profitability.

Supported Exchanges:

Cryptocurrency: Binance, Bitget, Blofin, Bybit, and more
Forex: MetaTrader4/5 platforms
Stock TradeStation and more

Current Status: Successfully live testing for 2+ months with positive results. Ongoing live testing continues.

📊 Strategy Description

The bot employs a multi-indicator crossover strategy that combines:

Core Indicators

Fisher Transform (FS) - Identifies potential trend reversals and momentum shifts

https://www.tradingview.com/support/solutions/43000589141/

RSI (Relative Strength Index) - Filters entries based on overbought/oversold conditions

https://www.tradingview.com/support/solutions/43000502338/

Volume Oscillator - Ensures trades are taken during periods of volume confirmation

https://www.tradingview.com/support/solutions/43000591350/

ATR (Average True Range) - Dynamically adjusts stop-loss and take-profit levels based on market volatility

https://www.tradingview.com/support/solutions/43000501823/

Entry Logic

Long Positions:

FS crosses above TR (bullish crossover)
RSI deviates significantly from 50 (momentum confirmation)
FS/TR magnitude exceeds threshold (strong signal strength)
Volume oscillator is positive (volume confirmation)

Short Positions:

FS crosses below TR (bearish crossover)
RSI is near neutral (contrarian entry)
FS/TR magnitude exceeds threshold
Volume oscillator is positive

Exit Logic

Take Profit: ATR-based dynamic take-profit levels
Stop Loss: ATR-based dynamic stop-loss with trailing stop functionality
Half Exit: Automatic 50% position closure at first take-profit target
Trailing Stop: Activates after half exit to protect remaining position

Parameter Optimization with Optuna

The Entry/Exit Levels have been meticulously optimized using Optuna, a state-of-the-art hyperparameter optimization framework. The optimization process utilized several years of historical market data to ensure robust and reliable parameter sets.

Why Optuna?

Optuna provides significant advantages over traditional optimization methods:

Tree-structured Parzen Estimator (TPE) - Advanced Bayesian optimization that efficiently explores the parameter space
Pruning Mechanism - Automatically stops unpromising trials early, saving computational resources
Parallel Optimization - Supports distributed optimization across multiple cores/machines
Visualization Tools - Built-in tools for analyzing optimization history and parameter importance
Flexible Search Spaces - Supports complex parameter distributions (uniform, log-uniform, categorical, etc.)
Efficient Sampling - Intelligently samples parameter combinations based on previous trial results

Optimization Process

Historical Data: Several years of market data from multiple exchanges
Objective Function: Maximized Sharpe ratio, profit factor, and minimized drawdown
Validation: Walk-forward analysis to prevent overfitting
Result: Optimized parameters that balance profitability with risk management

This data-driven approach ensures that the Entry/Exit Levels are not arbitrary but are statistically validated against extensive historical market conditions.

✨ Key Features

🎯 Trading Features

Automated Signal Detection - Monitors market conditions every hour
Dual Position Support - Can hold both long and short positions simultaneously
Dynamic Risk Management - ATR-based stop-loss and take-profit calculations
Trailing Stop Loss - Automatically adjusts stop-loss to lock in profits
Partial Position Exits - Takes profit on 50% of position while letting winners run
Position Replacement - Automatically replaces losing positions with better entry points

📈 Monitoring & Analytics

Real-time Position Monitoring - Checks positions every second
Trade History Tracking - Complete CSV-based trade log
Performance Metrics - Win rate, drawdown, daily PnL tracking
Webhook Integration - Real-time notifications for trades and statistics
Daily PnL Reports - Automated performance summaries

🔧 Technical Features

Thread-safe Operations - Multi-threaded architecture for concurrent operations
State Persistence - Resumes from CSV on restart
Error Handling - Robust error handling and recovery
Command Interface - Interactive CLI for manual control
Multi-Exchange Support - Compatible with Binance, Bitget, Blofin, Bybit APIs
Forex Platform Support - Available for MT4 and MT5 platforms
Optuna-Optimized Parameters - Entry/Exit levels optimized using advanced hyperparameter optimization

📈 Backtesting Results

The strategy has been extensively backtested using Bitget and Blofin candle data across multiple markets:

Backtesting Guide

Cryptocurrency Pairs

✅ ETH/USDT - Strong performance
✅ SOL/USDT - Excellent results
✅ LINK/USDT - Profitable
✅ UNI/USDT - Consistent gains
✅ DOGE/USDT - Good performance
✅ SUSHI/USDT - Positive returns
✅ TAO/USDT - Strong results
✅ ZEC/USDT - Profitable

Forex Pairs

✅ EUR/USD - Consistent performance
✅ GBP/USD - Strong results

Stock Pairs

Working now

📊 Detailed backtesting results with charts and trade logs are available in the cryptosymbols/ and forexsymbols/ directories.

🚀 Live Testing

Current Status: ✅ Live testing in progress

Duration: 2+ months of successful live trading
Performance: Positive results with consistent profitability
Ongoing: Continuous live testing and optimization

The bot is currently running live trades and demonstrating strong performance in real market conditions.

🛠️ Installation

Prerequisites

Python 3.8 or higher
pip package manager

Step 1: Clone the Repository

git clone https://github.com/simoncampos1022/botaraprofitablefuturestradingstrategycryptoforex_stock.git
cd botara_strategy

Step 2: Install Dependencies

pip install -r requirements.txt

If requirements.txt doesn't exist, install manually:

pip install requests pandas numpy

⚙️ Configuration

Trading Parameters

| Parameter | Description | Default | |-----------|-------------|---------| | INITIAL_BALANCE | Starting capital | 10000 | | LEVERAGE | Trading leverage | 5x | | POSITIONSIZERATIO | Position size as % of balance | 0.4 (40%) | | INTERVAL | Candle timeframe | 1H | | FEE_PERCENT | Trading fee percentage | 0.0006 (0.06%) |

Indicator Settings

| Indicator | Length | Description | |-----------|--------|-------------| | ATR_LENGTH | 14 | Average True Range period | | FS_LENGTH | 10 | Fisher Transform period | | RSI_LENGTH | 14 | RSI calculation period |

Entry/Exit Levels

⚙️ Note: These parameters have been optimized using Optuna framework with several years of historical data. The optimization process utilized advanced Bayesian optimization techniques to find optimal parameter combinations that maximize profitability while minimizing risk.

Long Positions:

FS Entry Level: ? (Optuna-optimized)
RSI Entry Level: ? (Optuna-optimized)
Stop Loss: ? × ATR (Optuna-optimized)
Take Profit: ? × ATR (Optuna-optimized)
Trailing Stop: ? × ATR (Optuna-optimized)

Short Positions:

FS Entry Level: ? (Optuna-optimized)
RSI Entry Level: ? (Optuna-optimized)
Stop Loss: ? × ATR (Optuna-optimized)
Take Profit: ? × ATR (Optuna-optimized)
Trailing Stop: ? × ATR (Optuna-optimized)

🎮 Usage

Starting the Bot

python botara3_bot.py

Interactive Commands

Once running, you can use these commands:

help                    - Show available commands
force open long         - Manually open a long position
force open short        - Manually open a short position
force close long        - Manually close long position
force close short       - Manually close short position
force half close long    - Close 50% of long position
force half close short  - Close 50% of short position
balance                 - Show current balance
price                   - Show current price
exit                    - Shutdown the bot

Strategy Loop

The bot automatically:

Updates indicators every hour (at :00:05 UTC)
Checks for entry/exit signals
Monitors positions every second
Updates trailing stops in real-time
Saves all trades to CSV

🛡️ Risk Management

Position Sizing

Uses 40% of available balance per position
Leverage: 5x (configurable)
Maximum 1 long and 1 short position simultaneously

Stop Loss Protection

Dynamic ATR-based stop-loss levels
Trailing stop activates after take-profit hit
Real-time monitoring every second

Take Profit Strategy

First target: Close 50% of position
Remaining 50%: Protected by trailing stop
Maximizes profit while securing gains

Risk Controls

Position replacement logic (replaces losing positions)
Volume confirmation required for entries
Multiple indicator confirmation before entry

📊 Performance Metrics

The bot tracks comprehensive performance metrics:

Total PnL - Overall profit/loss percentage
Win Rate - Percentage of profitable trades
Max Drawdown - Maximum peak-to-trough decline
Daily PnL - Daily profit/loss tracking
Total Trades - Number of completed trades
Last Trade PnL - Most recent trade performance

All metrics are automatically sent via webhook after each closed trade.

📁 Project Structure

botara_strategy/
├── blofinethbot.py          # Main trading bot
├── ethblofinhistory.csv     # Trade history (auto-generated)
├── crypto_symbols/             # Crypto backtesting results
│   ├── caseETHUSDTchart.html
│   ├── caseETHUSDTtrades.csv
│   └── ...
├── forex_symbols/              # Forex backtesting results
│   ├── caseEURUSDchart.html
│   ├── caseEURUSDtrades.csv
│   └── ...
├── logo.png                    # Project logo
├── html_guide.gif              # Visualization guide
└── README.md                   # This file