MoverLens turns Samantha LaDuc's public stock posts into a researchable track record: each call is extracted by AI with ticker, direction and confidence, then measured against what the market actually did.
@samanthaladuc covers 27 tickers spanning other and nearby sectors, posting 39 signals over ninety days to about 72K followers. The account leans predominantly bearish, with roughly 46% of its 41 scored calls moving in the called direction over a seven-day horizon. Its strongest documented call was a bearish SLV position that gained 19%.
Start a 7-day Signal Pro trial to explore the full record — every documented call with its original post, confidence, and outcome.
Across 55 scored calls tracked by MoverLens, roughly 47% moved in the called direction over a 7-day horizon. Hit rate alone does not capture the size of moves — open the full record for the complete methodology.
The most frequent tickers in this account's documented calls are SPX, QQQ, SOXX, GLD, out of 34 stocks covered.
MoverLens monitors this account's public X posts, uses AI to extract ticker-level calls with direction and confidence, and backtests each call against market data using a versioned methodology. It is research, not investment advice.