Video summary

The Man Who Trades $50M Using 1 Rules-Based Setup - Ted Zhang

Main summary

Key takeaways

Finance

Who the guest is / firm context

  • Ted Seeg (discretionary trend follower; screening systematic, execution discretionary) discusses how his firm Reviva Asset Management (“Revere”) grew rapidly.
  • Claims mentioned:
    • By age 25, managing $50M+
    • Firm “surpassed” $400M AUM (later mentions building to over $430M)
  • Leadership:
    • Don (CIO; mission described as “Grow Protection”)
    • Dan (CFA; fundamentals-focused)
  • Client base and priorities:
    • Mostly retirement / near-retirement investors
    • Strong emphasis on downside protection
    • “Staying out of the way” during downturns

Market regime + top-down framework (moving averages as trend filters)

The approach is explicitly top-down, using moving average checks before stock selection.

Regime checks

  • ~21 EMA across five major indexes (short-term trend gauge)
  • 50-day moving average for intermediate trend (used for S&P 500, Nasdaq, small caps, mid caps, Dow)
  • 200-day moving average as the long-term “guardrail”
  • Weekly: 30–40 week moving averages

Rule of thumb (exposure reduction)

  • Below the 200-day: “all bear markets happen here”
    • Exposure reduced to near zero
    • Sometimes even net short

Macro positioning decision

  • Portfolio stance can be long, stay cash, or sometimes a little short depending on regime and trend.

Style / holding period / trade management

  • Style described as thematic catalyst momentum traders / trend followers
  • Not day trading:
    • Winners are typically held a few weeks to a few months (often around/between earnings)
  • Loss cut speed:
    • If it’s not working, losses are cut within about 1–5 days, then the thesis is reassessed
  • Holding winners:
    • Aim to capture bigger multi-week moves
    • “Best trades often work right from the start,” but stops manage uncertainty

Stock selection (CAN SLIM + modified criteria)

Core idea: growth-stock traits + momentum/relative strength, with updates for modern “themes.”

  • Foundation: William O’Neil’s CAN SLIM
    • Earnings/sales acceleration
    • Relative strength
    • Market must be favorable
    • “New” catalyst/theme

Modifications for modern markets

  • For modern/tech/AI names, revenue acceleration may matter more than classic earnings.
  • Liquidity requirements:
    • Must be super liquid
    • Preference for ~4–6% ADR or higher (avoid low-ADR/illiquid names that move too slowly)
  • Chart behavior preference:
    • Prefer stocks that trade more “linearly” (less choppy; fewer whipsaws vs moving averages)
  • Theme + catalyst requirement:
    • Must have a hot theme/narrative plus an identifiable catalyst, such as:
      • Earnings/guidance raises
      • Backlog growth
      • Partnerships
      • Compute partnerships
      • Hyperscaler/cloud moves
      • Government funding / executive orders

Relative strength signal

  • Relative strength is treated as a hybrid technical/fundamentals signal:
    • Strength vs the S&P 500
    • Strength within its peer universe

Relative strength: “leaders in corrections” setup

During pullbacks, the focus is on leaders that show relative strength before they make new highs.

What to look for

  • Relative strength line makes new highs before the stock makes new highs (e.g., before 52-week/all-time highs)
  • Stock forms a higher low while the index makes lower highs/lows
  • Stock holds above key moving averages (50-day / 200-day) while indexes fall below

Example context (semis)

  • After the “Iran war crash,” semis were described as strong relative to the broader market:
    • Intel, Marvell, Nvidia, Avgo and SOX ETF
    • Semis held above the 200-day while indexes were below
  • “April 8th ceasefire news” is cited as a catalyst for semis gapping upward toward all-time highs

Entry logic / risk-aware execution

  • Entries can be “imperfect” if risk is controlled with logical stops.
  • Example stop concept:
    • “maybe below the 82?1 EMA” (subtitle artifact, but indicates an EMA-based stop concept)

Timing via accumulation / breakout patterns

  • Flat base breakout
  • Cup with handle
  • Breakout retests
  • Pullbacks to moving averages
  • Volatility contraction / tightening supply:
    • Higher lows
    • Weaker hands shaken out
    • Accumulation by strong hands

Risk management system (position sizing + “balance at risk”)

Position sizing based on volatility

  • Sizing is driven by ATR-adjusted volatility:
    • “Volatility adjusted by ATR for each stock” informs sizing rules

Asymmetry in position sizes

  • Faster names (e.g., AAOI) require smaller max positions
  • Slower but more liquid names (e.g., ASML; also Eli Lilly mentioned) allow larger/safer sizing

Stops always used

  • Stops are part of the structure.

“Revere Estimated Balance at Risk”

  • Daily worst-case plan described:
    • ~7% portfolio loss if all stops get hit
  • Caveat:
    • Gaps / “black swan” events can exceed the estimate (“everything blows gaps down below all your stops”)
    • Estimates are framed as peace of mind, not certainty

Hedging / derivatives usage

  • Options: not used (many accounts are 401(k)s / IRAs, without options access)
  • Alternatives:
    • Uses inverse ETFs
    • Uses single-stock hedges sometimes to go net short when regimes deteriorate

Upside vs drawdown control (benchmark-like returns with less drawdown)

Claim: “S&P-like returns with far less drawdown.”

Two-sleeve portfolio structure

  1. “Grow Tection” (Don-managed)
    • Aims for S&P-like returns
    • More conservative; smaller/diversified
    • Reduced drawdowns
  2. “Turbo Tection” (co-managed by Ted/Connor)
    • Higher risk / higher growth
    • Junior track record
    • Target described as beating the S&P 500 with somewhat more volatility

S&P exposure sleeve logic

  • Uses a 1x S&P long-duration holding approach.
  • The 1x S&P piece is closed only when S&P is:
    • about 1 to ATRs below the 200-day moving average
  • Rationale:
    • Older clients may not tolerate 30–40% drawdowns
    • Retirement sequence risk matters; selling earlier protects “nest eggs”

Overextension / trimming rules (ATR extension)

A concrete sell/trim framework is provided:

Trim/scale-back levels

  • Start trimming around 10 ATR above the 50-day
  • More trimming around 15 ATR above the 50-day

“Climax move” characteristics

  • Often appears 8–12 weeks after a base breakout
  • Symptoms:
    • Large daily candles
    • Huge volume
    • Multiple gap-ups
    • Becoming erratic/vertical
  • Expected response:
    • Trim more; expect vicious pullbacks

Example overextension/climax mentions

  • SMCI (early 2024)
  • MSTR (late 2024)
  • Silver
  • Also mentioned more recently: ARM, SNDK, MU (not all described as fully completed)

Themes / dashboards / AI usage (workflow tooling)

Screening philosophy

  • Keep screens simple:
    • Liquidity filter
    • ADR filter
    • Optional relative strength filter
  • Then visually scan for chart similarity

AI usage for thematic grouping

  • AI helps with thematic grouping and “business understanding,” with prompt templates such as:
    • “Explain this company to me like I’m 12”
    • Then request a “professional description”
    • Then ask it to connect to tickers in the category (e.g., AI recognizes MU and includes SNDK, SK Hynix, etc.)
    • Ask what other connected themes exist

Dashboard / flow tracking

  • Uses charting widgets (e.g., Deep View referenced)
  • Tracks “percent by change” for themes like:
    • Memory
    • Space
    • Optics
  • Core emphasis:
    • tracking “where the money’s flowing into/out of” to support thematic catalyst momentum trades

Notable instruments / tickers mentioned

Indexes / sectors / ETFs

  • S&P 500
  • Nasdaq
  • Dow
  • SOX ETF (Semiconductor Sector ETF)
  • Also mentioned in sector rotation context:
    • staples, healthcare
    • “bonds”

Individual stocks (examples)

  • Tesla
  • Nvidia (NVDA)
  • AMD (example: compute partnership)
  • Intel
  • Marvell (MRVL)
  • Avgo (Broadcom)
  • MU (Micron)
  • SNDK (mentioned; subtitle suggests “SanDisk” but the exact expansion is unclear)
  • SK Hynix (conceptually listed)
  • MSTR
  • SMCI
  • ARM
  • AAOI
  • ASML
  • Eli Lilly (LLY)

Note: One subtitle fragment references “BE” partnering with something like “NBIZ,” but no clear ticker certainty is provided.

Macro / financial context referenced

  • COVID crash, inflation, bear market
  • “tariff crash”
  • “Iran war correction”
  • jobs numbers
  • Fed raising rates

Disclosures / cautions

  • No explicit “not financial advice” disclaimer appears in the provided subtitles/text.
  • Risk caution is emphasized:
    • Estimated “balance at risk” can be exceeded in gap/black swan events.

Step-by-step methodology/framework (as described)

  1. Top-down trend filter
    • Use 21 EMA, 50-day, 200-day
    • If below 200-day: reduce exposure to near zero (possible net short)
  2. Decide portfolio stance
    • Long / stay cash / small short based on index regime
  3. Equities universe screening
    • Apply liquidity + ADR filters (optionally relative strength)
    • Build watchlists by themes (assisted by AI)
  4. Relative strength confirmation
    • Identify “leaders in corrections” (relative strength making new highs before the stock)
  5. Catalyst + fundamentals overlay
    • Look for a “new” catalyst/theme plus acceleration/pricing power (CAN SLIM-inspired)
  6. Entry setup
    • Use accumulation/basing patterns:
      • flat base breakout, cup with handle, breakout retest, MA pullback
    • Allow imperfect entries if the stop logic is sound (EMA-based concept)
  7. Position sizing and risk
    • Size via ATR-adjusted volatility
    • Use stops and track worst-case via “balance at risk” (~7%, excluding gaps/black swans)
  8. Trim/exit on overextension
    • Start trimming at ~10 ATR above the 50-day
    • More trimming at ~15 ATR above the 50-day
    • Trim further when price turns vertical/climactic (gap/volume/candle expansion)

Key numbers and targets mentioned

  • Holding period: winners weeks to 2–3 months
  • Stop timing: thesis failures cut within 1–5 days
  • Risk target: “Revere Estimated Balance at Risk” = ~7% worst-case (excluding gap/black swan)
  • ADR preference: ~4–6% ADR or higher
  • Trim/overextension:
    • 10 ATR above 50-day (start trimming)
    • 15 ATR above 50-day (more trimming)
  • Client goals / return targets:
    • S&P-like returns (Grow Tection)
    • Beat the S&P 500 with higher volatility sleeve (Turbo Tection)
  • Macro filter exit timing concept:
    • Close 1x S&P exposure around ~1 to ATRs below the 200-day moving average

Presenters / sources mentioned

  • Ted Zhang (interviewer / video host; referenced in title)
  • Ted Seeg (guest)
  • Don (Revere CIO; “Grow Protection”)
  • Dan (CFA; fundamentals)
  • Connor Bates (co-managing “Turbo Tection”)
  • William O’Neil / book “How to Make Money in Stocks” (CAN SLIM)
  • Jack Schwager (Market Wizards reference)
  • Paul Tudor Jones (podcast mention)
  • Jesse Livermore (“How to Trade in Stocks” reference)
  • Jim Rogers (Market Wizards reference)
  • Naval Ravikant (leverage principles referenced)
  • Gavin Baker (tech investor source on memory ahead of major moves)
  • Charting/RS tools: Market Surge Deep View

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