Episode 8: $17,500 in Two Weeks and the Algorithm Did It Automatically

Two weeks. $387,000 deployed. $17,500 returned. Zero manual trades.In this episode, Alejandro and Serhii check back in on the live paper portfolio and the numbers are hard to ignore. The algorithm ran completely on its own, selected four stocks from a universe of 3,000 assets, managed trail stops automatically via API, and produced a 2.2% weekly gain. Annualised, that's 116%.No news feed. No human intervention. Just technical data, volume analysis, and how each stock was performing against its benchmark and the S&P 500.They also walk through BKR Baker Hughes which the algorithm bought right before a strong earnings call, without reading a single headline. The system identified the signal from technical data and volume analysis alone. Then, live on screen during the episode, the portfolio crossed $18,000 in gains.No predictions. No hype. Just a system doing exactly what it was built to do.⏱️ Timestamps:0:00 – Introduction1:36 – How the algorithm works — quick recap2:41 – Live portfolio walkthrough3:53 – Calculating the annualised yield8:00 – Current positions and how they were selected11:35 – BKR: bought before earnings without reading the news18:52 – Portfolio hits $18,000 live on screen20:02 – What comes next: bringing this to the public21:31 – Paper trading explained――――――――――――――――――――Foresee Markets — AI, quantitative research, and structured thinking applied to real market conditions.🎙️ Hosted by Alejandro Ramirez Lemus and Serhii Nikolaiev.💬 Tell us in the comments: What would you want the algorithm to analyse next? Like, subscribe, and hit the bell so you never miss an episode of Foresee Markets.――――――――――――――――――――📹 During the podcast, important visual information is sometimes presented alongside the discussion. For the full experience, we recommend watching the episode on https://www.youtube.com/@ForeseeMarkets