trueinvestings

Based on 0 decided calls, 0% coverage, data through 2026-07-23, there is essentially no verified track record here. The engine tracked a single call and a lone directional reading of +17.9% on one instrument — a sample far too thin to score. The ANTE band sits at 'Building,' corroboration is insufficient, and no wins, losses, or realized-PnL fields exist yet. Treat every dollar figure in the feed as self-reported and, for now, unconfirmed.

A large-cap swing and long-short book: fundamental conviction in quality names ($GOOG, $AMD, $INTC) paired with tactical shorts on hyped IPOs — his $SPCX fade leans on the claim overvalued IPOs 'average around -75%.' Theses usually carry a why, occasionally a historical analog, but seldom a clean entry, target or timeframe (0% state a stop). Direction reads as narrative — he recaps positions already open more than he hands you an actionable if-then plan you could mirror in real time.

Refreshingly, losers are posted, not hidden: he flags '$8 million in unrealized losses,' a $3 million hit on an $SLV entry, and admits he 'oversized and added to a loser' on $RKLB. That honesty is real. The discipline underneath is shakier — zero calls state a stop, positions run 10–15% each, and averaging down into red names is a stated habit ('added to a loser'). No win/loss PnL fields exist to confirm winners outpay losers. Capital preservation rests on conviction, not rules.

The voice is candid and a little weary-wise — 'I am not perfect,' 'traders are meant to be wrong.' The corpus skews to commentary and portfolio journaling over crisp plans, with recurring victory laps ($30M realized, $1.3M on an $SPY long) balanced by openly posted drawdowns. Monetisation is soft: a Substack he frames as writing 'for myself anyway,' no Discord or paywalled course — he even derides those hawking courses. At 6,434 followers, reach is modest relative to the position sizes claimed.

There is genuine learning value in the mindset layer: he runs post-mortems ('overall poorly executed trade'), credits other traders' theses (@Peoplewish on $OPEN), and warns followers off low-liquidity pump names like $HLIT. He cites influences openly — Buffett, Paul Tudor Jones, 'Trader: The Documentary.' Engagement in replies is gracious, not combative. What's missing for a beginner is the mechanical layer — entries, sizing math and stops are narrated loosely, so you absorb temperament and process far more than a repeatable, teachable system.

You'll like this if you enjoy watching a high-conviction, big-size book think out loud — fundamental theses on quality tech, contrarian IPO fades, and a trader honest enough to post his $8M red days. It suits observers studying temperament and position psychology more than signal-copiers. Skip if you need verified, mirror-able entries with defined stops and a scored track record: with zero decided calls and 0% coverage, none of the eye-popping dollar figures are confirmed, and sizing at 10–15% a name won't fit a small account.