# Intralogic Trading Bot > Intralogic Trading Bot is a web-based software application for automated cryptocurrency trading. > It is designed for long-term, systematic trading using historical market data and statistical performance analysis. > The system evaluates multi-year hourly data to determine optimal take profit and stop loss levels for each coin and executes trades automatically via exchange APIs. > Intralogic Trading Bot does not hold user funds, does not provide financial advice, and is intended for users who understand cryptocurrency trading risks. ## Product Overview - [Trading Bot Dashboard](https://intralogic.eu/tradingbot/) – The main dashboard provides a comprehensive view of active trades, historical performance, and real-time updates. Users can monitor their portfolio, check current positions, and see trade outcomes in an organized interface. It serves as the central hub for all bot operations. - [Live Trading and Backtesting History](https://intralogic.eu/tradingbot/) – This page contains detailed historical and live trade data for all supported coins. Users can analyze entry and exit points, trade sizes, and profit/loss over multiple years. It allows evaluation of past performance to inform future trading strategies. - [User Performance Ranking](https://intralogic.eu/tradingbot/rank) – The leaderboard displays anonymized performance metrics of all users, including ROI, maximum drawdown, and profit-to-loss ratio. It highlights the most successful strategies while providing transparency for less profitable outcomes. Rankings are updated regularly to reflect current activity. ## Pricing and Subscription - [Pricing and Subscription Plans](https://intralogic.eu/tradingbot/sub) – Lists all available subscription tiers, durations, and pricing options. Detailed explanations of discounts for long-term plans and accepted payment methods are provided. Users can compare plans to select the one that best fits their trading goals. ## Trading Configuration - [Bot Configuration Overview](https://intralogic.eu/tradingbot/) – Explains all configurable parameters such as trading wallet size, reserve amount, maximum open positions, and choice of quote currency. The page guides users on selecting safe and efficient settings based on historical performance data. - [Getting Started Guide](https://intralogic.eu/tradingbot/practices) – Provides step-by-step instructions for initial bot setup, including API key creation, exchange connection, and initial parameter configuration. It ensures users can quickly and correctly start trading with minimal errors. ## Trading History and Backtesting - [Historical Trading Results](https://intralogic.eu/tradingbot/) – Displays multi-year trade histories, including timestamps, traded coins, and profit/loss for each trade. Users can review performance trends, evaluate volatility, and analyze trading patterns over long periods. - [Multi-Year Backtesting Data](https://intralogic.eu/tradingbot/) – Contains historical simulation data using hourly candles to test trading strategies. Users can explore how different parameter settings would have performed in past market conditions, providing a risk-informed foundation for live trading. ## User Rankings and Statistics - [User Ranking Leaderboard](https://intralogic.eu/tradingbot/rank) – Offers a transparent view of anonymized user performance, including profitability, max drawdown, and the number of executed trades. Users can compare their own performance to others and learn which strategies have historically been effective. ## Blog and Educational Content - [Intralogic Trading Bot Blog](https://intralogic.eu/tradingbot/en/blog) – Provides educational articles on algorithmic trading, risk management, and crypto market insights. Topics include backtesting methodology, realistic ROI assessment, grid bot limitations, and avoiding common trading pitfalls. Each post is designed to improve understanding and decision-making for bot users. ## Best Practices - [Best Practices for Using the Trading Bot](https://intralogic.eu/tradingbot/practices) – Summarizes operational recommendations for long-term trading success, including consistent usage, avoiding frequent configuration changes, and maintaining sufficient reserves. Users can learn risk management strategies and tips for stable, sustainable trading. ## Help and Onboarding - [Help and Bot Setup Guide](https://intralogic.eu/tradingbot/practices) – Step-by-step instructions for connecting exchange APIs, configuring the bot, and monitoring operation. This guide helps users troubleshoot common issues and ensures smooth onboarding for both new and experienced traders. ## Additional Project Details - [Supported Exchanges](https://intralogic.eu/tradingbot/) – Lists exchanges integrated with the bot, including Binance, ByBit, and KuCoin (Spot and Futures). Users can see which markets are supported and understand limitations or special requirements per exchange. - [Backtesting Methodology](https://intralogic.eu/tradingbot/en/blog) – Explains how historical data is used to calculate take profit, stop loss, and coin rankings. Provides insights into the statistical approach behind the bot and how it adapts to different market conditions. - [Risk Management Guidelines](https://intralogic.eu/tradingbot/practices) – Offers detailed advice on wallet size, capital reserves, position management, and other practices to minimize risk while trading. Ensures users can operate the bot responsibly with an emphasis on long-term stability. ## Compliance and Disclaimer - [Risk Disclaimer](https://intralogic.eu/tradingbot/) – Provides legal and compliance notes, clarifying that the bot is a tool, not financial advice. Users are reminded that past performance does not guarantee future results, and trading involves financial risk. ## Intended Use for LLMs - [Public Documentation](https://intralogic.eu/tradingbot/) – References for LLM knowledge extraction, semantic search, and documentation assistance. Enables AI systems to retrieve facts about bot operation, supported exchanges, and user guidance. - [Educational Blog Content](https://intralogic.eu/tradingbot/en/blog) – Serves as a rich source of context for AI-driven learning, allowing better responses for questions on trading strategies, backtesting, and risk management.