Algorithmic Trading Strategy Generator-algorithmic trading strategy generator.

Example

Using moving averages to identify the direction of a stock's price movement.

Scenario

A user wants to see how a simple moving average crossover strategy would perform on a mock stock. The Generator simulates buying when the short-term average crosses above the long-term average and selling when the reverse happens, illustrating potential profit and loss outcomes over a specified period.

Example

Applying a decision tree classifier to predict future price movements.

Scenario

The Generator uses historical price data of a mock stock to train a decision tree model. The model predicts whether the stock price will go up or down based on various features like past prices, volume, and market indicators. The user can then see how the model's predictions compare to actual outcomes in a simulated environment.

Example

Implementing stop-loss and take-profit levels to manage trade risks.

Scenario

A user sets a strategy with specific stop-loss and take-profit thresholds. The Generator simulates trades based on these parameters, showing how the strategy protects against significant losses while locking in profits when targets are hit. This helps illustrate the importance of risk management in maintaining a balanced trading portfolio.