bt is currently in alpha stage - if you find a bug, please submit an issue. Read the docs here: http://pmorissette.github.io/bt. The goal: to save quants from re ...

AI stock trading bots are becoming a core part of modern trading because they solve three practical problems: speed, consistency, and market coverage. A human trader can follow only a limited number ...

Freqtrade offers robust Python-based backtesting and optimization, ideal for data-driven strategies, but requires coding skills Hummingbot excels at market-making and arbitrage across CEXs/DEXs, ...

So, you want to learn Python online and you’re wondering where to start? Reddit can be a surprisingly good place to get pointers, even if it’s not a formal course itself. People share what works for ...

Python libraries like Pandas, NumPy, and Polars simplify data handling and analysis for algorithmic trading. Tools such as TA‑Lib, pandas-ta, Backtrader, and VectorBT enable fast strategy testing and ...

In the previous article, I introduced how to acquire stock price data using Google Colab. As a follow-up, let's use the acquired data to calculate representative technical indicators (Bollinger Bands ...

Python has become the go-to language for finance, data analysis, and trading, and it’s no surprise why. With its simple syntax, powerful libraries, and massive community support, Python makes it easy ...

Backtesting software refers to the ability to test potential trading strategies using historical data. A free Forex backtesting software allows traders to test their strategies using historical data, ...

Is it possible to consistently beat the index with covered call strategies? In this video, Average Joe Investor dives into a backtest comparing 10 and 20 delta covered call strategies on IWM, ...