Option Trading Success Rate: What “Success” Really Looks Like (With Real Data)

Option Trading Success Rate: What “Success” Really Looks Like (With Real Data)

By lambdafinancecontact@gmail.com11 min read Uncategorized

Intro

When people ask about option trading success rate, they usually mean “what percentage of options traders actually make money.” The answer depends on your definition of success: profitable trades, profitable months, or profitable traders after costs. Most retail options activity is short-dated and purchase-heavy, which makes the math brutal once spreads and fees show up. Research on retail option trades finds small negative average returns per trade overall, with option buying doing worse than option selling.

The Reality of Option Trading Success

7.2%

Traders Profitable
(India FY22-24)

91.5%

Lost Money
(Options FY24)

-3.95%

Avg Return
(Option Buying)

-4.6%

Avg Return
(0DTE Trades)

Tables + Analysis

Table 1: Three ways to measure option trading success rate

Success Definition What You Measure Why It’s Useful Where It Can Mislead
Trade-level win rate % of trades that end positive Great for debugging execution and setups High win rate can still lose money if losses are larger than wins
Trader profitability rate % of traders net profitable over a period Closest to “real success” for most people Depends on sample, market, and whether costs are included
Consistency rate % of months or quarters profitable Captures risk control and discipline Can hide one big blowup that wipes out a year

Key point: A “success rate” without a time window and cost treatment is basically marketing. If you want something decision-useful, use “% of traders profitable after transaction costs over 12 months.”

This is similar to how we analyze what percent of retail investors beat the S&P 500 — the definition of “success” dramatically changes the numbers.

Table 2: Retail options profitability rate (India, regulator study)

Source: SEBI study summarized in major press and Reuters coverage.

Metric Result Window
Retail derivatives traders who profited 7.2% FY22–FY24
Retail options traders who lost money 91.5% lost FY24
Retail derivatives traders who lost money 91.1% lost FY24
Aggregate retail derivatives losses ₹1.81 trillion FY22–FY24
Avg loss per loss-making trader ~₹2 lakh FY22–FY24

What this tells you: In a large, real-world retail sample, the “success rate” for being net profitable is single digits across a multi-year window, and options trading is the biggest loss bucket in the cited breakdown.
This does not mean options are “always bad.” It means most people approach them in ways that do not survive costs, leverage, and short holding periods.

Table 3: Why trade win rate is not the same as profitability (U.S. retail trade-level evidence)

Source: trader-level study of modern retail option trading using a verified trade-journal dataset (2020–2022).

Retail Option Category Avg Return Per Trade What That Implies for “Success”
Average option trade (overall) -0.9% On average, retail option trades lose slightly per trade
Option purchases -3.95% Buying options is where most average losses concentrate
Naked option sales +20% Option selling can earn positive average returns, but tail risk is real
0DTE trades -4.6% Losses concentrate in same-day expiry activity
Non-0DTE trades ~0% Outside 0DTE, average trade is closer to break-even in this sample

How to use it: If the average trade return is negative, a “high win rate” is not enough. You need payoff asymmetry that beats spreads and losses when you are wrong. This also shows why strategy type matters. Selling options and buying options are not the same game.

Table 4: 0DTE is a different beast (retail losses and what drives them)

Source: conference paper on retail 0DTE option trading losses and transaction-cost contribution.

0DTE Finding Reported Pattern What It Means for Success Rate
Aggregate retail losses Retail investors lost more than $100M in single-leg option positions in the sample Many participants are net losing even before “strategy refinement”
Post daily expirations (May 16, 2022) Average daily retail losses rose to roughly $350k Daily expirations increased intensity and cost drag
Transaction costs Roughly 60% of daily losses attributed to transaction costs Even “good calls” get eaten by friction

Takeaway: If your options activity is mostly 0DTE buying, your success rate is fighting a structural headwind: variance risk premium, spread, and rapid decay. The math can be survivable, but you need unusually tight execution and risk control.

Option Buying

-3.95%

Average return per trade

Where most retail losses concentrate

Option Selling

+20%

Average return per trade

But carries significant tail risk

For context on how retail investors perform more broadly, see our analysis of retail investor participation by country, which shows how participation rates vary globally.

Conclusion / Callout

So what is the option trading success rate? If you define success as “net profitable after costs,” large-scale regulator evidence from India shows it can be single digits over multi-year windows, and options traders are overwhelmingly net losing in the cited year breakdown. U.S. trader-level research helps explain why: average option trades are slightly negative, option buying is meaningfully negative, and 0DTE concentrates losses.

Key Takeaway

Stop asking “what is the win rate.” Ask “what percent of traders are net profitable after costs over 12 months, and which strategy buckets drive that number.” That is the success rate that matters.