Outlier has released official libraries for Node.js, Python, R, PHP and Go, a command-line tool and an MCP server that bring real-time sports ...

Zhi Zhi Quantitative Initiates a 3 Million Yuan Angel Round Funding Campaign to Develop a User-Friendly, Fully Transparent ...

Build a crypto price model in Python: pull data with yfinance, engineer features, split by date, then test Linear Regression ...

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

Even with the same strategy of 'switching to the top 8 gainers every 21 days,' the performance changed significantly just by ...

Jupyter notebooks: how currency pairs react to central bank interest rate decisions, an event study. - Interest-Rate-Decision/notebooks ...

Backtest trading strategies on Lucyd prediction markets from Python or Jupyter. Load the historical L2 order book, order book fills, on-chain trades and Pyth BTC/USD prices as pandas DataFrames. Then ...

I’m Geoff Cox, a hands-on engineering leader in Seattle. I lead engineering teams, and I still write code. This is a story about how I found out that most of the decisions in one of my research logs ...

What if a strategy’s strongest backtest result points to a flawed experiment rather than a durable market signal? That risk sits at the center of backtesting machine learning trading strategies: ...

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.

Expert view: In an interview with Mint, Shruti Jain, Chief Strategy Officer at Arihant Capital Markets, explains how different algorithmic trading is from traditional trading. She says new traders can ...

本内容遵循CC 4.0 BY-SA版权协议 GitHub热榜上隔三差五就会冒出量化交易相关的项目，但最近这个"一个人就是一支对冲基金团队"的说法确实戳中了不少人。我第一反应是：又是标题党吧？但翻完 ...