Almost three months into his very ambitious project, Jim P.’s trading account is already up 95%. But can he really grow the account by 3,000% in two years with systematic options trading?
Watch Jim explain how he plans to go from $25K to $750K in 24 months
Who is Jim P.?
Jim P. is a retail trader from Ohio, USA, who has spent hundreds of hours backtesting options strategies to build a fully systematic, automated trading approach. His public experiment — the Falling Knife Project — aims to grow $25,000 into $750,000 in 24 months using a portfolio of uncorrelated options strategies.
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An ambitious plan for systematic options trading
The bold goal: $25K to $750K
Jim’s project centers on a dramatic question: can systematic options trading scale a small account into three-quarters of a million dollars within two years? His confidence comes not from speculation but from using an ensemble of strategies with positive expectancy and low correlation.
He believes the real power lies in combining multiple approaches into a single portfolio, smoothing the equity curve, and increasing the chance of consistent performance. This disciplined, rules-based setup is the foundation of his entire project.
At the basis of his plan is backtesting. Jim uses Options Omega for this, and all the strategies in his portfolio have been well tested.
Inside the Falling Knife Project
Seven strategies working together
Jim trades seven total strategies, with four forming the “core four.” These trades include:
- An oscillator strategy that captures typical market movement
- A volatility crush setup tied to VIX behavior
- An inside-day breakout approach
- A trend-following strategy
All core four trades use debit spreads, allowing leverage without the heavy buying-power requirements of credit spreads. These are complemented by three “tinker trades” — simple long calls or puts based on afternoon signals. Some of these trades are negatively correlated with the core strategies, helping hedge risk and lock in gains.
The ensemble includes both 0DTE trades and slightly longer-duration setups up to 21 days. Jim trades close to the money and relies entirely on automation due to his demanding day job.
Why systematic options trading?
Automation keeps emotion out of the process. Jim sets the rules, activates the system, and lets the data drive the decisions. Backtesting is his primary hobby, and the hundreds of hours spent running scenarios give him the confidence to execute this project publicly.
Risk, scaling, and psychological pressure
Risk of ruin is real
Jim is extremely clear about the dangers. His permutation and bootstrap testing estimated a 20% chance of blowing up the account right from the start. That risk decreases as the account grows, but returns temporarily when he scales up at profit milestones.
The first major scale-up occurs at $40,000 in profit, bringing the account to around $65,000. At this point, he doubles position size, pushing his risk of ruin back toward 10%. Jim says he will not feel more secure until reaching around $125,000, at which point the project begins to delever naturally.
Trading publicly adds emotional complexity
Jim accepts not only the financial risk but also the emotional risk of failing in public. He knows a large drawdown later in the project will feel very different from today, yet he embraces the transparency as motivation and accountability.
Where the project stands today
Nearly doubling the account in under three months
As of roughly 2.5 months in, Jim reports more than $23,000 in profit, for a return around 95%. His goal for the first six months was an average of $7,700 per month, meaning he is right on schedule — slightly ahead, in fact.
His equity curve has shown both slow and fast periods, but overall performance aligns closely with his backtests.
Is this approach right for others?
Jim would not recommend this level of aggressiveness to most traders. Only those who can afford to lose their entire account without hardship should consider a similar experiment.
But he strongly recommends one principle for traders at all levels:
Use a systematic approach and blend uncorrelated strategies to smooth the equity curve.
