Author

@AgustinLebron3

Agustin Lebron has strong trading credentials as a former Jane Street trader and author, but recent X mirrors show mixed AI/trading-career/commentary content rather than primary ti

trader score
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hit rate
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mean α
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signals 14d
8

Grade = how their written analysis reads (A best). Trader score = how their last-20 timestamped calls performed vs SPY.

Their picks, scored

Not yet in the scored-bets universe (fewer than 20 scoreable calls). Their last-14d mentions, direction-adjusted, have moved +7.0% since posting (mean over 3 mentions with price data).

Recent signals8receipts included
date (PT)tickerauthorsentwhat they saidsince thenreceipt
2026-06-29·@AgustinLebron3·Calls for more optimism in the US, Europe and developed world.·
2026-06-27·@AgustinLebron3·Says AI labs would benefit from reading a linked blog post, but details are not in text.·
2026-06-26·@AgustinLebron3·Mocks Silicon Valley ARR math and inflated annualization claims.·
2026-06-25NDAQ@AgustinLebron3+0.00Says Kalshi should not be worth even a tenth of CME, ICE, or Nasdaq valuations.+9.0%
2026-06-25CME@AgustinLebron3+0.00Says Kalshi should not be worth even a tenth of CME, ICE, or Nasdaq valuations.+5.2%
2026-06-25ICE@AgustinLebron3+0.00Says Kalshi should not be worth even a tenth of CME, ICE, or Nasdaq valuations.+6.8%
2026-06-19·@AgustinLebron3·General AI/ASI framework statement with no public ticker named.·
2026-06-19·@AgustinLebron3·Comments on Midjourney announcement and medical community reaction, no ticker.·

Grade is our human read-worthiness rating; trader score is a rolling 20-bet hit-rate/alpha composite — different things, often disagreeing. “Since then” is direction-unaware in the table; the summary line above adjusts for which way they leaned.