Overview

PinguTrader is a platform for exploring and testing trading strategies. It allows users to view different strategies and analyze their behavior based on historical data.

The goal of the project is to better understand how simple strategies perform under different market conditions and to build intuition for quantitative trading concepts.

Functionality

• Browse a collection of trading strategies
• Visualize price data and signals
• Compare basic performance metrics
• Experiment with different approaches to trading logic

Example Strategies

Moving Average Crossover

A trend-following strategy based on the interaction between short-term and long-term averages.

Mean Reversion

Assumes prices revert to a long-term mean after deviations.

Momentum

Buys assets that have performed well recently and sells those that have not.

Observations

Initial experiments show that simple strategies are highly sensitive to parameter choices and market regimes. Many strategies that appear profitable in isolation break down when transaction costs or noise are introduced.

This highlights the importance of robust testing and realistic assumptions.

Technical Details

• Frontend: Flask
• Data visualization for price and signals
• Modular structure for adding new strategies