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

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

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 ...

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

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

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

Tests whether moving-average crossover, RSI and Bollinger Band strategies actually beat buy-and-hold on Indian large caps, after transaction costs, using walk-forward validation. A portfolio layer ...

Learn how AI is used in trading, how to test ideas on a demo account and which risks to manage. A plain English guide with ...

Learn how AI crypto trading bots work, what rules apply in the UK and EU and which risks to understand before using one with ...

After a year of trying to make money trading futures, one aspiring trader is wondering whether they’d be better off starting a business or building software. In a recent Reddit post, they shared how ...

The Exponential Moving Average (EMA) is a technical indicator that measures trend direction by averaging price data while assigning greater weight to recent prices, which makes the EMA more responsive ...

NEW YORK, NY, October 30, 2026Elias Arvencore’s financial education research framework systematically maps quantitative ...