In this report, I will summarize the real-world performance of a Japanese stock trading strategy developed in Python, ...

Hello! This is an FX automated trading development log co-created with an AI gal 🤖✨In the previous article, building on the ...

I ported TradingView's SuperTrend strategy to Python and ran it on 6.7 years of real ticks with spread and commission: PF 1.97 on gold H4, 0.81 on NZDUSD.

Beyond the artificial intelligence (AI) stock frenzy, credit investors are adapting to AI and integrating growing volumes of financial factor data into their research. Very soon, AI systems will learn ...

Trading bots have changed the financial markets by automating trading processes and enabling traders to execute strategies efficiently. These automated systems utilize algorithms and programming to ...

In today’s market, speed and precision matter. Whether you’re a retail investor building a systematic strategy or an active trader looking to reduce manual execution, automated trading platforms offer ...

SAN JOSE, Calif., Oct. 28, 2025 /PRNewswire/ -- Option Circle, a leading platform for automated options trading, has integrated its advanced Volatility Intelligence Engine and comprehensive technical ...

Robust backtesting can give useful insights on how a trading strategy might perform in the future. The use of tick data for backtesting covers many different strategies, whether they are high ...

A small, paper-only trend-following bot built on the Alpaca Trading API with alpaca-py. I built it as a product manager to experience Alpaca's Trading API the way a developer does: getting keys, ...

The COVID-19 stock market decline entices traders to bet on the S&P 500 index to benefit from an upcoming recovery. The S&P 500 index has known multiple pullbacks in price throughout the past 25 years ...