
Adrian Rosebrock
Hi, I’m Adrian — a computer science PhD who decided that successfully selling an AI company wasn’t enough of a midlife crisis. So naturally, I’m now a quant trader attempting to turn Python code and probability theory into market-beating returns.
(My therapist calls it “an exercise in productive self-sabotage”)
Watch me turn $25K and Python code into either a hedge fund origin story...or a masterclass in optimizing dumpster fires.
Instead of following conventional wisdom and buying index funds, I’m attempting to beat the market with algorithms and $25,000 of my own money. Every trade, balance sheet, and questionable decision — documented in real-time with complete transparency.
"Truly, this is a train wreck of an idea. Have you considered taking up gardening instead?" — Warren Buffett (probably)
"I showed your trading strategy to my church prayer group. They've added you to the list." — My mom
Trading Performance (Year to Date)
PythonFinTech Fund vs. S&P 500
PythonFinTech | S&P 500 | |
---|---|---|
Total Return (YTD) | 3.63% | -7.95% |
CAGR | 8.43% | -17% |
Max Drawdown | -4.31% | -18.76% |
Volatility (Ann.) | 10.57% | 30.32% |
Sharpe Ratio | 1.17 | -0.75 |
Sortino Ratio | 1.89 | -1.1 |
Calmar Ratio | 1.95 | -0.91 |
Ulcer Index | 2.07% | 7.61% |
R² (vs Benchmark) | 0.15 | nan |
Trade Metrics
# Trades | 21 |
Win % | 52.38% |
Avg. Gain (%) | 5.41% |
Avg. Loss (%) | -3.34% |
Avg. Gain ($) | $210.57 |
Avg. Loss ($) | $-125.17 |
Win Loss Ratio | 1.62 |
Expectancy Per Trade ($) | $56.66 |
Profit Factor | 2.06 |
As of April 23, 2025, the S&P 500 is down 7.95%, while my fund is up 3.63%, resulting in an outperformance of 11.58%.
With an R² value of 0.15, this implies returns are largely uncorrelated with the benchmark, meaning the strategy’s performance is primarily driven by factors independent of the overall market.
*All metrics reported are as of April 23, 2025.
"Most of my clients want to retire early. This one wants to turn Python scripts into a hedge fund. I need a drink." — My financial advisor