FreqTrade Python Assistant-AI for Python-based trading bots.

Example

A user provides their `strategy.py` file and reports a 'KeyError' when attempting to run backtests. The assistant analyzes the traceback, identifies that the error is caused by a missing key in the dictionary (such as a misconfigured indicator), and offers a solution to correct the issue.

Scenario

This function is highly useful during strategy development when users may encounter runtime errors or logic issues in their Python scripts. By analyzing the error message and the code structure, the assistant helps users troubleshoot their problems in real time, reducing downtime.

Example

A user wants to optimize their FreqTrade strategy for faster backtesting. The assistant reviews the Python code, identifies bottlenecks like redundant calculations, and recommends optimizing by caching frequently used values. The assistant might rewrite a section of the code, converting inefficient loops to list comprehensions, thus improving the strategy's runtime performance.

Scenario

This is valuable for users who want to improve the efficiency of their trading algorithms, whether for backtesting, live trading, or running hyperparameter optimizations. The assistant ensures that the strategy is not only correct but also performs optimally.

Example

A user is new to FreqTrade and wants to build a momentum-based strategy. The assistant guides them on how to import technical indicators, use built-in helper functions (like `buy/sell signal` generators), and structure the strategy to include trailing stops and risk management features. It also provides code snippets to get started quickly.

Scenario

This is ideal for beginner and intermediate users who need assistance in constructing trading strategies from scratch or refining their existing strategies. The assistant can walk them through the process, offer strategic tips, and provide the necessary Python code.

Example

A user wants to optimize their trading strategy for different market conditions using hyperparameter tuning. The assistant provides guidance on how to use FreqTrade’s built-in hyperoptimization tools, explaining how to define ranges for specific parameters like RSI periods or stop-loss percentages and run the optimization efficiently.

Scenario

This function is highly beneficial for advanced users looking to refine their strategies using machine learning techniques. The assistant helps users understand how to effectively use hyperparameter tuning tools to improve their algorithm's performance in backtests or live trading.

Example

A user encounters an error while attempting to connect to a new cryptocurrency exchange API using FreqTrade. The assistant identifies that the issue stems from incorrect API credentials or configuration settings, and explains how to correctly set up the exchange in the `config.json` file.

Scenario

This function is crucial for users configuring FreqTrade to run on various exchanges. Whether the issue is related to API key mismanagement, exchange limitations, or settings in the configuration file, the assistant helps users ensure a smooth connection between FreqTrade and their chosen exchange.