Full examples of algorithmic trading for Bitcoin using order book imbalances computed with a deeper level inspired by some articles(reference link as follows). This ...

The primary question of this project is to determine the effectiveness and profitability of a trading strategy for AAPL. Specifically, we aim to identify if a strategy based on the moving average ...

This work presents a theoretical and empirical evaluation of the Anderson–Darling test when the sample size is limited. The test can be used to backtest risk factor dynamics in the context of ...

With a wide range of markets to trade on our platforms, you’ll need a backtesting strategy that’s best suited for each asset class. Explore the benefits and risks of backtesting. Backtesting is a way ...

In the constantly changing world of cryptocurrency trading, artificial intelligence (AI) has emerged as one of the strongest tools available to traders who demand data-informed decisions. But an AI ...

Forex trading often feels like a constant stream of noise. Prices jump on central-bank comments, rumours move markets faster ...