Weekly Puts for Income: The Return Target Reddit Gets Wrong

Finance-focused summary (weekly put income program)

Core thesis / correcting expectations

• The speaker argues the common Reddit expectation of “1% per week” is unrealistic because it implicitly assumes you:
  • Win every week
  • Never sit out
  • Never stop out
  • Never get assigned
  • Use the same capital each time
• A more sustainable performance expectation for a weekly short-put program is:
  • ~10% to 20% annual yield on the capital put to work (over a full calendar year).
• Key risk tradeoff: higher return targets require more risk somewhere, such as:
  • larger position size
  • closer strikes
  • worse timing / underlying conditions

Step 0: Decide whether to sell puts that week (avoid bad conditions)

Skip the week if any of the following apply:

• Implied volatility (IV) is too low on the puts you’d sell (premium isn’t sufficient vs downside risk).
• The broader market is in a confirmed downtrend (the tape works against short puts).
• A major macro/price-moving event falls inside the expiration window, including:
  • Fed meeting
  • CPI print
  • Peak earnings season

Step 1: Position sizing (collateral-based, not premium-based)

• Your broker may reserve collateral up to the full strike value.
  • Example: a $100 strike might tie up up to $10,000 buying power per 1 contract.
• Sizing rule: size each trade so that a stop loss hit is a “normal, boring loss”—i.e., it doesn’t disrupt future trading decisions.
  • If one bad trade “rattles” your process, the position size is too large.

Step 3: Pick candidate puts (filters + target return corridor)

Filters mentioned

• Deep out-of-the-money puts
• 7 days or less to expiration
• No earnings in the option’s expiration window
• Avoid ex-dividend weeks
• Use an options model (e.g., Black-Scholes) to require a theoretically high probability of profit
• Set an annualized return target in the 10%–20% range
• Rank by probability of profit (descending) and focus on the top results, then research catalysts that could push the underlying down.

Tools / sources referenced for scanning

• Option Samurai (scan/screen ranked tickers by probability)
• OptionSellers.com (site/context for the program)

Step 4: Exit plan (decided before entry)

The exit plan is emphasized as set before entry, not during trade management.

Three-part exit framework:

1. Profit exit

   • Close when you’ve captured about ~50% to 80% of maximum profit
   • Avoid holding for the last dollars (so winners don’t turn into break-even or losses).
   • Example: if max profit is $220 and you’ve collected $200, don’t risk the remaining gain for the last chunk.

2. Roll trigger

   • If the underlying touches or breaches the strike, roll down and out for a credit:
     • Down = lower strike
     • Out = longer expiration
   • Do not roll if it costs money, because that means you’re paying to delay a problem.
   • Generally roll once or twice only; after two failed rolls, take the loss.

3. Stop loss

   • If the roll doesn’t work or the trade thesis breaks, close at a defined loss.
   • Emphasis: don’t let a 1-week trade accidentally become a long-term position.

Assignment handling (rare case + “wheel” pivot)

• Assignment is described as rare for deep OTM weekly puts managed actively.

• Mechanical reason: assignment is most likely when the option has little/no time value. If extrinsic value remains, the counterparty is typically better off selling the option rather than exercising.

• If assigned:

  • If the stock pays a dividend, the speaker suggests a fallback:
    • take shares and use covered calls (“stock the wheel”) to potentially monetize the dividend and transition into a longer-term plan.
  • This is framed as a deliberate fallback, not the intended plan.

Mentioned tickers / instruments / assets

• Coca-Cola (KO) (an anecdotal example of selling a weekly put)
• Options (weekly puts)
  • Black-Scholes model (method reference)
  • Implied volatility (IV)
• No ETFs/bonds/commodities/crypto are specifically listed in the provided subtitles.

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Methodology / step-by-step framework (as presented)

• Step 0 (week filter): Sell weekly puts only if:
  • IV is not too low
  • Market is not in a confirmed downtrend
  • No major macro event (Fed/CPI) or earnings peak within expiration window
• Step 1 (sizing): Size based on collateral/capital commitment (up to strike value reserved) so a stop is “boring” and doesn’t disrupt the strategy.
• Step 3 (selection): Screen for:
  • Deep out-of-the-money puts
  • ≤ 7 days to expiration
  • No earnings; avoid ex-dividend weeks
  • High probability metrics (Black-Scholes-based)
  • Annualized return target 10%–20%
  • Sort by probability, then research catalysts
• Step 4 (exit plan pre-set):
  • Profit exit at 50%–80% of max profit
  • Roll down and out for a credit if strike is touched/breached
  • Max 1–2 rolls, then stop
  • Stop loss closes if thesis breaks / roll fails
• Assignment pivot: If assigned (rare), optionally use covered calls (“wheel”), including possible dividend monetization.

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Key numbers / explicit targets

• $38 premium collected on an early KO weekly put anecdote
• Sustainable program target: 10%–20% annual yield
• Profit-taking range: 50%–80% of maximum profit
• Roll limits: typically 1–2 rolls, then stop
• Expiration window: 7 days or less
• Capital commitment example: $100 strike ⇒ up to $10,000 reserved per 1 contract
• “1% per week” is described as an unrealistic fantasy due to compounding/assumption failures.

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Disclosures / disclaimers

• The speaker does not explicitly say “not financial advice” in the provided subtitles.
• A caution is provided: “With great return comes great responsibility”—warnings that chasing more yield typically requires increasing risk (e.g., bigger size, closer strikes, worse timing).

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Presenters / sources mentioned

• Leav (speaker)
• Platforms/tools/sources:
  • OptionSellers.com
  • Option Samurai
  • Black-Scholes model (method reference)