Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...

Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to breach the servers running them and make off with sensitive data and ...

The S&P 500 Concentration Risk: With the top 10 mega-cap stocks now making up a record 41% of the index, SPY has effectively become an undiversified tech fund. A Quantitative Solution: By applying ...

For serious traders, particularly in the fast-paced forex market, relying on a standard desktop computer for backtesting is like preparing for a Formula 1 race in a go-kart. It simply lacks the power, ...

A developer recently shared a quantitative investment workflow built around an AI coding agent, where OpenClaw handled everything from stock screening to strategy backtesting. The reported backtest ...

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, ...

This project applies Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) methodologies to daily price data for the S&P 500 (US equities) and CSI 300 (Chinese equities) over the period January ...

What if artificial intelligence didn’t just give you answers but actually debated them? Imagine a system where AI agents argue over investment strategies, challenge each other’s assumptions, and ...

The stock markets contribute immensely to the growth of the economy. Stock price changes do not only show how companies are performing in financial terms, but they also determine the way people invest ...

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 ...