Algo Trading: Scalable Arbitrage
Algorithmic trading skips backtesting for scalable arbitrage (thriving post-Iran attack) [https://x.com/i/status/2031002490397757498], with Python/AI bootcamps teaching strategies like BTC dips [https://x.com/i/status/2031366966296900083].
The Iran attack likely created temporary price discrepancies across exchanges, ripe for arbitrage bots to exploit. Algorithmic trading firms can quickly scale up capital deployment to capture these short-lived opportunities. Python's accessibility and AI's predictive capabilities are fueling the rise of retail arbitrageurs. Bootcamps promising quick riches from crypto volatility are capitalizing on this trend. However, relying solely on backtesting can be dangerous; real-world events introduce unforeseen market dynamics. Geopolitical events like the Iran attack create "black swan" events that historical data can't predict.
