Sharing my latest 10month option trading history
Trader shares 10-month options PnL, hitting $100K goal but noting poor Sharpe ratio and high variance from psychological flaws.
I have shared my past results, and now sharing 10month results. Dashboard was built using claude.
- Goal is $100K a year in 12months ($8K / month), which I already passed. Will target $200k in the next 12m cycle.
- PnL is realized profit after closing open trades (BTC), premium capture is new positions opened (STO). The premium capture rate is around 47%, which according to claude is retail-disclipned.
- Worse drawdown was in Feb. The drawdown is based on rolling (BTC --> STO). Even rolling is net-credit, the realized PnL will use the loss only from BTC.
- PnL has been consistent last few months with wheels, but then the market has rallied a lot. Also testing credit spreads on SPY, QQQ, and SPX 0DTE iron-condors
- The high variance is that I don't close at 50% profit or close early on losses. This isn't an issue of knowledge/skill, just psychology.
Would love any feedback from this group.
Key KPIs (not shown is sharpe ratio -0.01)
https://preview.redd.it/x2h1a0spn56h1.png?width=2992&format=png&auto=webp&s=88ddd6e0952b7a6dbc56cf2892b36246f3179f6d
Cumulative premium, pnl and drawdowns
https://preview.redd.it/f9nc069tn56h1.png?width=2966&format=png&auto=webp&s=f6195f195dfdd0cd7d239fa96f32593d8fa085a2
PnL and BP deployment - high variance e.g. $358K for $41K in Mar vs $176K for $111K in Jan.
https://preview.redd.it/5rw98b93o56h1.png?width=2956&format=png&auto=webp&s=4c10cc814a702374da677042de948f920a84bbc0
sharpe ratio of -.01 means you’re losing money
The psychology around closing trades is so much harder than the mechanics once you're running real size. I've watched a few systematic services that just remove the decision entirely, which seems to be the only thing that actually fixes the discipline gap. PutYield is one that comes to mind - they only enter when ES is above key EMAs and send the full setup Sunday evening so you're not deciding anything in the moment. For the Sharpe issue, the variance you're seeing from letting losers run will keep crushing that metric regardless of total return.
Congrats on hitting the goal. One observation that might be useful: the Sharpe of -0.01 alongside positive P&L is the most interesting number in your post. It's saying you're making money but not getting paid for the volatility you're carrying. For a wheel + premium-selling strategy, that's usually a sign of position sizing variance more than strategy weakness. The data backs this up specifically. Jan '26 (+$111K) accounts for \~76% of your total $146K. Without that one month, the run is roughly $3.9K/mo across the other 9 months, below the $8K/mo goal. The Feb drawdown of -$51K against your previous peak (-71.8% peak-to-trough) gave back nearly half of January. That's not edge, that's variance. The right-skewed monthly distribution (mean $15K, median $10K) is worth thinking about too. Premium selling strategies usually have a LEFT skewed P&L because of the assignment tail: many small premium captures, occasional big losses when something goes against you. Right-skew on premium selling usually means returns are coming from price appreciation on the underlying after assignment, not consistent premium capture. Different risk profile than you might be assuming. On the 50% profit-take psychology issue, there's a clean way to quantify what it costs you. Pull your closed trades, separate them into "closed at 50% profit" vs "held longer" cohorts, compare win rate and variance contribution of each. Tasty's research says the 50% rule dramatically reduces variance with a modest hit to expected value. If your own data shows the same pattern, the discipline problem becomes a math problem you solve with a hard coded close at 50%. Not willpower, just an automation rule.
How big is your trading account and what are your primary strategies?
I deploy around 250K-350K a month. Primary strategies are mix of wheel (80% of total trades), credit-spreads (15% of total trades) on indexes, 0dte spx iron-condors (5% of total trades).
On stocks to wheel - mostly AI semis with high-beta.
Calmar is probably a better measure than sharpe for the wheel, thanks for posting the data, nice trades
If wheeling is the primary strategy the critical component is ensuring the stocks dont go down heavily.
How do you ensure that?
How is the dashboard reading your data? Is it all manual input where you actually reading from your trading account? Just curious cause I was trying to build something similar.
Removed for RULE: No journaling of trades or blogging: why & how are more important than what & when
Everyone wants to show their day-by-day or hour-by-hour trading journey, but this is not the appropriate place for such sharing. What was traded is less interesting than how and why those kinds of trades were made. Posts that are mostly just a list of gains, losses, or a list of trades, or trade images without substantial discussion of why and how, or a repeating series of posts as if you were blogging, are taken down.
Let me know when it's 20 years through multiple bear markets.
nice, the premium capture vs realized split is the part most people skip. i went down the build your own road too and honestly for plain charts tradingview already does everything, but tracking rolls was the thing that broke my spreadsheet. once a position is btc then sto a few times the cost basis and the realized vs open premium gets messy fast. i ended up using thetaedge for the options side just because it tracks the roll chain and premium capture without me hand entering everything, and kept tradingview for the actual charting. curious how you got claude to pull your fills, is it reading a broker export or are you keying them in?
You’re better off putting your money in a high yield savings account with these numbers
What visualization tool is that?
UI looks like something AI would generate
Great stuff! How did you decide on this particular graphs and metrics?
Give a couple examples of your most profitable moves?

r/options