Video summary

How He Makes 1% Per Week Selling Weekly Puts

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Key takeaways

Finance

Finance-focused summary (weekly cash-secured put strategy aiming ~1.04%/week)

Core objective / framing

  • The guest aims to earn ~1.04% premium gain per week on the value of the trading account.
  • Strategy: cash-secured puts (CSPs) with weekly expirations, typically:
    • Enter Monday mornings for Friday expiration
    • If the setup isn’t found early, enter Tuesday/Wednesday, expiring the following week
  • Strong preference to avoid owning shares; the plan is typically for puts to expire worthless.

Why weekly puts

  • Weekly options retain theta, which the guest notes “dissolves super quickly” later in the week (Wednesday–Friday).
  • Qualitative reasoning:
    • Selling farther out increases total premium, but the guest prefers weekly because theta dominates and exposure time is shorter.
    • Example logic (qualitative): 2-week premium < 2× 1-week premium, 3-week premium < 3× 1-week premium, plus added event risk (e.g., macro/geopolitical like “US attacking Iran”).

Underlying selection & technical/trend filter (Ichimoku + moving averages)

  • Watchlist approach:
    • Tech-tilted watchlist; the guest notes fewer “safe haven” stocks.
    • Cycles through roughly 80–90 stocks each Saturday using a fast scan.
    • Uses TradingView.
  • Screening framework (multi-timeframe):

    1. 1-day timeframe quick confirmation
      • Uses Ichimoku Cloud + moving averages.
      • “Tradeable” conditions desired:
        • Price above the cloud
        • Cloud is green
        • Cloud has substantial thickness/area
      • “Not tradeable” examples if bearish:
        • Price below cloud
        • Cloud red
        • Blue conversion line below red baseline (sell signal)
        • Green lagging line below cloud
    2. If it passes the 1-day filter → check 4-hour, then 1-hour
      • Still requires supportive trend structure (if conflicts remain, it’s not tradeable).
  • Example references:

    • UPST (Upstart): shown as not tradeable due to bearish Ichimoku structure (price below red cloud, conversion/base cross down, lag line below).
    • Paramount Skydance: shown as tradeable/approaching tradeable with:
      • green cloud
      • conversion line popping above baseline
      • lag line above cloud on shorter frames
    • The guest acknowledges long-term comfort may still depend on risk tolerance.

Risk and implied volatility (IV)

  • Prefers higher implied volatility to support better premiums.
  • Target range: ~60% to 80% IV
    • Avoid “too high,” but keep it high enough for decent premiums.
  • IV varies by stock/sector.

Strike selection / “levels” (multi-MA resistance/support + projections)

  • Strike selection is not primarily delta-based.
    • Delta is monitored to avoid extreme setups.
  • The guest estimates “levels” using:
    • Moving averages (notably 50/100/200-day; also 5/10/20-day mentioned)
    • Linear regression with a 2-sigma channel
    • Optional: Bollinger Bands and “projection” to estimate likely upside/downside zones
  • Strike logic:
    • Choose the put strike based on where the stock is expected not to pass within the next ~5 days.
  • Illustrative level-to-strike idea (bearish example mentioned):
    • Stock around 13.34
    • Moving-average levels around 13.91 / 13.82
    • Downside support cited around 11.86
    • Possible bearish strike example: 1150 (intended to be below ~11.86)

Profit management / exits (mostly hold to expiry, but with a midweek rule)

  • Main exit plan:
    • Let puts expire worthless (no traditional take-profit target).
  • Early close rule (midweek):
    • Example: if total weekly premium is $1,000 across 5 trading days, that’s ~$200/day.
    • By Wednesday close (after 3 days), if about $800 of premium is captured, close early to lock gains.
    • Rationale: free up capital and roll into a new weekly with more theta remaining.

“When it goes against you”: 3 scenarios

  1. Very close to strike
    • Use a limit order to exit around the price bought (attempt to avoid assignment).
  2. Farther away
    • “Repair” by writing a weekly call (rules not fully detailed).
  3. Stock drops substantially before you can manage

    • Uses a put-based stock repair strategy (put-based analog to stock repair).
    • Example discussed (with “OpenDoor” mentioned):

      • Assume shares bought at $8
      • Stock drops to $5
      • Sell two puts at $6.50
      • Buy one put at $8
      • Explanation (as described):
        • Assumes coordinated exercise/handling of short and long puts.
        • Goal: increase share count at a lower effective basis and reduce cost basis.
        • Claimed result: sell initial shares at original basis ($8) and then “buy twice as much” around $6.50, reducing cost basis by $1.50/share.
        • Example claims net debit of $4.
    • Notes:

      • Requires staying somewhat bearish and managing subsequent put legs.
      • Short put legs can sometimes be rolled, and shares may not be purchased (not guaranteed).

Rolling vs assignment

  • The guest prefers not to manage often, but considers:
    • If asked whether he’d roll instead of taking assignment:
      • He may roll forward and adjust strike to improve credit.
      • However, weekly options have limited remaining theta to make rolling effective.
      • Guest estimate: roughly ~80% of the time when he rolls, he still ends up assigned.

Comparison to the “Wheel”

  • The guest frames it as similar to the wheel only after assignment.
  • Difference:
    • Many wheel traders pick underlyings via fundamentals (EPS/PE/business sentiment).
    • This approach picks underlyings via math + technicals (Ichimoku, moving averages, levels).

Portfolio / capital at risk constraints

  • Hard cap: never risk more than ~50% of the account in a single week.
  • If assigned multiple positions:
    • Avoid dropping below about ~20% of actual cash position remaining (varies by market regime).
  • In bullish weeks, may allocate more.
  • In bearish weeks:
    • may not write puts
    • might instead do calls/day trades.

Risk discussion / “worst case”

  • Selling puts is acknowledged as high risk in theory (worst case: stock can go to zero).
  • Mitigation: uses cash-secured puts (not naked).
  • Personal risk profile rating: ~7/10 (between 6 on a good day and 8 on a bad day).

Performance metrics & results (2025 referenced)

  • Two measurement methods:
    1. Premium gain percentage on account value
    2. Overall account balance return (impacted by owned shares possibly declining)
  • Stated results:
    • 2025 premium percentage: ~1.28%
    • 2025 account balance return: ~just under 1% (about 0.9%–1.28% depending on metric)
  • Explanation of discrepancy:
    • Owned stocks declined in value even if premium income was captured.
  • Annualized example:
    • Brokerage account: ~30–40% annual return (attributed to premium income under the account balance metric).
  • Smaller “bills” account:
    • Goal: ~$500/week
    • Account size: ~$50,000–$60,000
    • Guest notes 1% per week aligns with $500/week on ~$50k.

Explicit recommendations / cautions

  • Recommendations:
    • Be “robotic”, avoid emotional trading, avoid FOMO.
    • Don’t copy others blindly—learn and adapt parameters to your own approach.
  • Methodological emphasis:
    • Use structured level/indicator confirmation to choose strikes and underlyings.
  • No explicit “not financial advice” disclaimer appeared in the provided subtitles.

Tickers / instruments explicitly mentioned

  • UPST (Upstart)
  • OpenDoor (ticker not explicitly stated)
  • Paramount Skydance (ticker not explicitly stated)
  • Options / concepts mentioned:
    • weekly puts, weekly calls
    • cash-secured puts
    • stock repair strategy using puts
  • Indicators / tools mentioned:
    • Ichimoku Cloud
    • moving averages
    • Bollinger Bands
    • Ichimoku lines: lagging/base/conversion
  • Rate referenced:
    • “risk-free interest rate … ~3.6%” (used to estimate weekly contribution)

Key numbers & targets

  • Target: 1.04% premium gain per week
  • IV preference: ~60%–80%
  • Risk management:
    • Max 50% risk per week
    • Avoid dropping below ~20% cash buffer (varies)
    • Risk rating: ~7/10
  • Interest rate math:
    • Risk-free rate referenced: ~3.6%
    • Estimated weekly “free money” contribution: 0.04% per week (computed as ~3.6/50)
  • Performance (2025):
    • Premium metric: ~1.28%
    • Account balance metric: ~just under 1% (roughly 0.9%–1.28% depending on metric)
    • Annualized in trading account: ~30–40%
  • Example stock repair numbers:
    • Long shares at $8, drop to $7/$5 (example varies by step)
    • Short puts at $6.50 (sell two)
    • Long put at $8 (buy one)
    • Net debit in example: $4

Step-by-step methodology (consolidated)

Weekly schedule

  • Saturday: scan/find setups; cycle watchlist.
  • Monday morning (ideally): write weekly cash-secured puts expiring Friday.

Underlying selection (multi-timeframe trend validation)

  • 1-day chart: check Ichimoku Cloud + moving averages
    • Prefer price above cloud + green cloud + thick cloud
  • If OK → check 4-hour, then 1-hour for continued alignment.

Level/strike determination

  • Identify key resistance/support levels using moving averages and regression/sigma channels.
  • Choose put strike based on where price is not expected to go before expiration.
  • Consider IV (prefer higher IV for premium).

Position sizing / weekly goal control

  • Manage trades so realized weekly outcomes trend toward ~1.04% premium gain on account value.
  • Mix outcomes across weeks/trades (some premiums higher, some lower) to meet the overall weekly target.

Exit rules

  • Usually: hold to expiration so puts expire worthless.
  • Early close: if by Wednesday close a large fraction of weekly premium is captured (example: ~$800 of $1,000), close early.

If the trade goes against you

  • Near strike: try a limit exit around purchase price.
  • Farther away: consider writing a weekly call.
  • Large drop: use put-based stock repair (sell short puts at an intermediate level; buy an anchor put near original purchase price; may rely on exercise/coordination to adjust cost basis).
  • Rolling is possible, but the guest estimates it may still lead to assignment about ~80% of the time.

Presenters / sources

  • Josh Walker (guest; options strategy presenter)
  • John (host/interviewer; name shown in subtitles: “Thank you John”)

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