Can you give me 2 charts - Meta 550 put price across all expirations, and Meta 700 call price across all expirations.
I'll fetch Meta's option chain to get both the 550 puts and 700 calls across all expirations.Now let me extract the data I need and create the two charts. I'll use the compute tool to build DataFrames for each chart.I need a DataFrame ID. Let me load Meta stock price data first to get a valid DataFrame ID, then compute from there.Now let me create the two separate charts:
META 550 Put — the put is deep out-of-the-money near-term (pennies for weekly expirations), then steadily rises as time to expiration increases, reaching ~\$100 by Dec 2028. This reflects the growing time value and the increasing probability the stock could drop below \$550 over longer horizons.
META 700 Call — similarly, the near-term calls trade for small premiums (the stock is well below \$700), but the longer-dated calls command significant premiums, reaching ~\$167 by Dec 2028, reflecting both time value and the market's expectation that META could rally above \$700 over a multi-year timeframe.
Note: The Aug 28, 2026 expiration had no 700 Call data (no open interest / no trade), so that point is missing from the call chart.
Cna you give a closer snapshot of the 550 put for next 3 months only
How should I read the chart - when its slope is steep, but then it becomes flat for some expiries and then steeps again. What does the slope represent?
Good question. The chart shows the put price for the same \$550 strike across different expiration dates — it's not a time series of a single contract.
The slope reflects theta decay per day of additional time. Here's how to think about it:
Steep slope (e.g., Jul 10 → Jul 31): Adding 21 days of time adds ~\$7 of premium. That's about \$0.33/day — the market is pricing in meaningful optionality per extra day. Near the money, time value is most sensitive.
Flat / shallow (e.g., Aug 14 ↔ Aug 21): Adding a week adds only ~\$0.80, or ~\$0.11/day. These are further-dated contracts where the stock would need to move much further to put the option in-the-money, so each marginal day of time contributes less value in dollar terms.
Re-steepening (Sep 18 → Oct 16): The jump in premium per day picks up again. This happens because as you go further out, the probability distribution widens (volatility has more time to work), so the tail risk of a drop below \$550 starts growing meaningfully again.
In summary: slope = marginal time value per day. It's steepest where time adds the most convexity — very near-term (gamma is high) and very long-dated (vega accumulates). It flattens in the middle where you've already priced in a fair amount of time but haven't yet reached the long-dated volatility expansion.
I want to sell 550 put - but i see the premium for tail end (1 year to 1.65 year, or even 6 months to 1 year) - is same "rate/day", not necessarily higher (or maybe even lower). Can you calculate that. And is that a good way to think about it?
Can you give me the put chart but instead of total price - chart premium per days outstanding.
Near-term weeklies cost just a few cents per day. The sweet spot emerges around the 3-4 week expirations (late Jul / early Aug), where premium per day peaks at about \$0.33–0.34/day. Beyond that, as you go further out in time, the premium per day gradually declines — long-dated puts (2027-2028) cost roughly \$0.10–0.15/day, reflecting how time value decays and the market prices deep OTM risk more efficiently over longer horizons.
But isnt there a higher probability of price declining below strike in a longer time frame, than a shorter timeframe?
But isnt there a higher probability of price declining below strike in a longer time frame, than a shorter timeframe?