Stelian and Pierre
๐—ง๐—ต๐—ฒ ๐—”๐—น๐—ด๐—ผ๐—ฟ๐—ถ๐˜๐—ต๐—บ ๐——๐—ผ๐—ฒ๐˜€๐—ป'๐˜ ๐—ฃ๐—ฎ๐—ป๐—ถ๐—ฐ. ๐—ฌ๐—ผ๐˜‚ ๐——๐—ผ. Most investors lose money the same way: buy late, panic sell early, miss the recovery, repeat. Year after year. Then blame "bad luck."It's not bad luck. It's biology.Kahneman and Tversky proved it: ๐—น๐—ผ๐˜€๐˜€๐—ฒ๐˜€ ๐—ต๐˜‚๐—ฟ๐˜ ๐˜๐˜„๐—ถ๐—ฐ๐—ฒ ๐—ฎ๐˜€ ๐—บ๐˜‚๐—ฐ๐—ต ๐—ฎ๐˜€ ๐—ด๐—ฎ๐—ถ๐—ป๐˜€ ๐—ณ๐—ฒ๐—ฒ๐—น ๐—ด๐—ผ๐—ผ๐—ฑ. So you hold losers, dump winners, and panic at the bottom. Every cycle. ๐Ÿง  โš ๏ธ JP Morgan's data is brutal: miss the 10 best days in the $SPX500 over 20 years, and your returns get cut in half. Seven of those days happened within two weeks of the worst days. You were probably on the sidelines for both weeks, waiting for the market to feel "safer." ๐—ง๐—ต๐—ฒ ๐—ณ๐—ถ๐˜…? Remove the emotions from the trigger.This account is algorithmic. No fear. No FOMO. No "gut feeling" at 3am. Just rules, executed without hesitation; the same way in green months and red ones. The algorithm doesn't care how Tuesday felt. ๐Ÿ”„ You can't out-discipline your own brain. But you can outsource the decision. ๐Ÿ”‘๐—ฃ๐—ฆ: ๐—ง๐—ต๐—ฒ ๐—–๐—ผ๐˜‚๐—ป๐˜๐—ฒ๐—ฟ๐—ถ๐—ป๐˜๐˜‚๐—ถ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ง๐—ฟ๐˜‚๐˜๐—ต Historically, the worst time to exit a systematic strategy has been during a drawdown; that's when the system's rules matter most, and when reflexes do the most damage. A few copiers exited during the recent drawdown, locking in the loss. Those who stayed rode the recovery whilst the bailers watched from the sidelines. The data is on the profile for anyone who wants to see how it played out. Same market. Same strategy. Different decisions; different outcomes. Thank you to those who trusted the process. ๐Ÿ™ ๐—” ๐—ก๐—ผ๐˜๐—ฒ ๐—ผ๐—ป ๐—ฆ๐˜‚๐—ฝ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐˜€๐—ถ๐—ผ๐—ป The algorithm runs the trades; humans run the algorithm. The system is monitored daily by @stelianx and @PierreN2023, under the guidance of the @popularinvestors team. Machine learning handles the execution; experienced investors handle the oversight, parameters, and risk controls. ๐Ÿ› ๏ธDiscipline by design. Oversight by people. ๐—ฅ๐—ฒ๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ๐˜€: โ–ถ Kahneman & Tversky (1979); Prospect Theory: An Analysis of Decision Under Risk โ–ถ JP Morgan Asset Management (2025); Guide to the Markets, S&P 500 Total Return Index, 20-year analysis (2005-2024) ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฐ๐—ฎ๐—ฝ๐—ถ๐˜๐—ฎ๐—น ๐—ถ๐˜€ ๐—ฎ๐˜ ๐—ฟ๐—ถ๐˜€๐—ธ | ๐—–๐—ผ๐—ฝ๐˜† ๐—ง๐—ฟ๐—ฎ๐—ฑ๐—ถ๐—ป๐—ด ๐—ฑ๐—ผ๐—ฒ๐˜€ ๐—ป๐—ผ๐˜ ๐—ฎ๐—บ๐—ผ๐˜‚๐—ป๐˜ ๐˜๐—ผ ๐—ถ๐—ป๐˜ƒ๐—ฒ๐˜€๐˜๐—บ๐—ฒ๐—ป๐˜ ๐—ฎ๐—ฑ๐˜ƒ๐—ถ๐—ฐ๐—ฒ | ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ถ๐—ป๐˜ƒ๐—ฒ๐˜€๐˜๐—บ๐—ฒ๐—ป๐˜๐˜€' ๐˜ƒ๐—ฎ๐—น๐˜‚๐—ฒ ๐—บ๐—ฎ๐˜† ๐—ด๐—ผ ๐—ฑ๐—ผ๐˜„๐—ป ๐—ฎ๐˜€ ๐˜„๐—ฒ๐—น๐—น ๐—ฎ๐˜€ ๐˜‚๐—ฝ
Not investment advice. The author may have financial interests in the mentioned instruments.
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