Video summary

How Clement Went from 0% to 247% & Took 3rd as a US Investing Champion Using A Repeatable Process

Main summary

Key takeaways

Finance

Finance-focused Summary of the Video (Subtitles)

Macro / Market Context Referenced

  • FOMC day: The interview happens shortly before the FOMC announcement on Sept 16 (Wednesday).
  • COVID crash → bull market rebound (2020): Clement describes:
    • The crash in Feb–Mar 2020
    • A strong rebound driven by Fed/QE, leading to a “rip-roaring bull market.”
  • 2021–2022 regime change:
    • In late 2021, leadership narrowed primarily to the “Mac 7” (referred to generally; no tickers listed).
    • “Work-from-home” and EV/growth names that ran in 2020 later crashed ~70–80%.
  • 2022 bear / choppy environment:
    • He emphasizes that in 2022 it became hard to profit “going long,” because on average stocks were going down.
  • Oct 2022 “news failure” event:
    • He references a CPI/inflation release where the market tanked intraday but recovered by the end of the day.
  • 2024–2025 performance in different conditions:
    • In 2024, he had strong returns but experienced “boom and bust” behavior—difficulty adjusting risk when conditions shifted.
    • In 2026 (through April/May, excluded), he describes a choppy/frustrating environment, implying the approach must work in sideways/volatile regimes.

Instruments / Tickers Mentioned

  • HSBC Bank (HKEX): First stock he bought; referenced as “number five” (implying HKEX code “005,” though the subtitles don’t explicitly state it).
  • Tesla (TSLA):
    • Repeatedly shorted in early 2023
    • Kept running against him (stopped out), contributing to a major drawdown.
  • “Spoos”: Common shorthand for S&P 500 futures (no explicit ticker given in subtitles).

Sectors / Themes Mentioned (No Specific ETFs/Tickers)

  • Growth / momentum / trend-following
  • “Work-from-home” stocks
  • Electric vehicle stocks
  • General US market regime shift
  • Inflation sensitivity (CPI) and news-driven volatility

Key Numbers & Performance Metrics

  • 2024 return: +80% (but with high volatility: “boom and bust”).
  • 2025 return: +247%
    • He credits improvement in discipline and risk management.
  • 2023 blow-up:
    • By Q1 2023, he “effectively blew up,” down about ~60–70% of capital.
    • After repeated stop-outs, he increased risk:
      • Started around ~0.5% risk per trade
      • Drifted up toward 1%–2%
  • Risk management / trade statistics framework (win rate):
    • The trader often faces a low win rate model.
    • Example cited: ~3 out of 10 winning trades (about 7/10 wrong).
    • Results rely on high reward-to-risk on winning trades.

Explicit Recommendations / Cautions (Trading + Risk)

  • Don’t be stubborn; cut losses
    • His early major failure is attributed to persistent shorting of TSLA despite losses and stop-outs.
    • Later, he learns to reduce error accumulation by cutting losses systematically.
  • Risk control is the differentiator
    • In 2024, he made money but wasn’t nimble enough with risk as conditions changed.
    • In 2025, he focused on:
      • Surviving difficult environments
      • Reducing losses
      • Then “ramping” during favorable conditions.
  • Assume you can’t predict the market
    • When asked what “Spoos” will do next week, he says he has no clue.
    • The host reinforces that if someone could predict reliably, they wouldn’t need to trade professionally.
  • Asymmetric risk/reward > prediction
    • Many trades will lose, but winners must be large enough to compensate.
  • Discipline through streaks
    • With low win rates, losing streaks are likely.
    • Discipline matters because emotions can cause quitting or abandoning the system too early.
  • Journal / diary to eliminate mistakes and track growth
    • He strongly supports keeping a trading journal to review thinking, errors, and maturity over time.

Methodology / Repeatable Process Mentioned (Framework)

The subtitles don’t present a fully enumerated system, but they describe an approach consistent with momentum/trend-following plus strict risk discipline:

  • Regime awareness
    • If long momentum fails (bear/choppy conditions), consider switching direction (he moved toward shorting in 2022).
  • Learn chart behavior & stock basing
    • Study how stocks “move,” “top,” and form bases.
    • Emphasis on pattern + price action study.
  • Rules-based process (not discretionary guessing)
    • He stresses adopting a repeatable process rather than random calls.
  • Risk management rules
    • Keep losses controlled (ideally small fixed risk per trade).
    • Don’t let risk escalate (he learned not to move from 0.5% toward 1–2% during drawdowns).
    • Ride winners, cut losses
      • Repeated discipline concept: cut losses repeatedly (example wording: “cut losses seven times” vs “ride winners three times” in a low win-rate scenario).
  • Asymmetric trade selection
    • Prefer setups where expected payoff is asymmetric (wins can be much larger than losses even if they occur less often).
  • Review via journaling
    • Maintain a diary/journal, revisit entries, remove recurring mistakes, and measure growth.

Disclosures / Disclaimers

  • No explicit “not financial advice” disclaimer appears in the provided subtitles.
  • The host repeatedly emphasizes uncertainty about predicting markets and focuses on process, suggesting an educational framing rather than certainty-based guidance.

Presenters / Sources Mentioned (Toward the End)

  • Jason: Interview host
  • Clement: Interview guest
  • Mentioned traders / investment figures / sources:
    • Matt Cruz: host’s weekly podcast (mentioned)
    • Christian Kulamagi: trend/momentum trader (Market Wizards interview mentioned)
    • Gil Morales: former portfolio manager for Will O’Neal (short-selling books/newsletter mentioned)
    • Willie O’Neal: referenced via “How to Make Money in Stocks” and mentorship lineage
    • Ariel and Nick: referenced in relation to prior conversations / Discord context (no further details)

Original video