This repository contains a trading bot that utilizes the Ichimoku indicator and interacts with the Binance API to automate trading activities on the Binance cryptocurrency exchange. The bot is implemented in Python and provides a convenient and customizable way to execute trading strategies based on the Ichimoku cloud.

• Introduction
• Features
• Prerequisites
• Installation
• Contributing

The Ichimoku Trading Bot leverages the Ichimoku Kinko Hyo indicator, a popular technical analysis tool used to identify trends and potential trading opportunities in the financial markets. By combining various elements such as the Kumo (cloud), Tenkan-sen (conversion line), Kijun-sen (base line), and other components, the Ichimoku indicator generates signals that can be used for making trading decisions.

This bot connects to the Binance API, which provides access to real-time market data and allows for the execution of trades. By integrating the Ichimoku indicator with the Binance API, the bot can automatically analyze market conditions and place trades based on predefined strategies.

• Automated trading based on the Ichimoku Kinko Hyo indicator
• Real-time market data retrieval using the Binance API
• Customizable trading strategies and parameters
• Buy/sell signal generation based on Ichimoku cloud crossovers and other conditions
• Support for various cryptocurrency pairs available on the Binance exchange

Before using the trading bot, ensure that the following prerequisites are met:

• Python 3.6 or higher installed on your system
• An active Binance account with API keys generated
• Necessary Python packages installed (requirements mentioned in the requirements.txt file)

1. Clone the repository:

git clone https://github.com/afshmari/ichimokuTradingBotBinanceAPI.git

2. Navigate to the cloned directory:

cd ichimokuTradingBotBinanceAPI

3. Install the required Python packages:

pip install -r requirements.txt

4. Run the bot:

python IchimokuTradingBot.py

The bot will start analyzing market data, generating trading signals, and executing trades based on your strategy.

Contributions to this project are welcome. If you find any issues or have suggestions for improvements, feel free to open an issue or submit a pull request.