7-10% Historical Monthly Returns with Machine-Learning Futures Trading Algorithms Built for Active Investors

Our automated, ML-powered trading algorithm is engineered to extract 7-10% returns from the S&P 500 futures market.

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The 10% Trap

Your S&P 500 ETF returns ~10% annually. Subtract 4% inflation, 2% in taxes, and you're left with... 4% real growth.

Slow growth from indicies
Inflation on the rise
Taxes not considered

The Solution

My algorithm targets 7-10% monthly returns by trading S&P futures with machine precision. Dynamic stop-losses protect downside. ML identifies patterns humans miss.

Machine learning generated signals
Filtered setups & hands-off execution

47

M

Total Volume Traded

7-10

%

Monthly Returns

100

%

PROP FIRM PASS RATE

10

+

Year Track Record

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Jay Pelle - Bio Card
Headshot of Jay Pelle

Jay Pelle, Founder

Researcher, Trader, Quant

I started trading forex from my bedroom in Hoboken at 17. Lost my first $3,000. Got obsessed. Bought Bitcoin at $400 in 2015.

After 10 years and $20M+ in personal trading volume, I realized something: The best traders aren't glued to screens. They build systems. This algorithm is my system—refined over 5,000+ trades and now powering accounts for professionals who value their time as much as their returns.

12-Month Performance Guarantee

If, after twelve (12) consecutive months of uninterrupted and compliant use of the Software, the User’s connected trading account has not achieved net returns at least 20% greater than the percentage return of the S&P 500 index over the same 12-month period, the User may be eligible for a refund of the initial license fee.

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FAQ

Frequently Asked Questions

Have more questions? Schedule a call with our team.

Is this actually automated or do I need to monitor it?

 100% automated. The algorithm connects via API to your broker and executes everything independently. You'll get mobile notifications but no action required.

What's the minimum capital needed

We recommend starting with $10,000 for meaningful returns. The algorithm works with less but position sizing becomes limited. Many users start with $10-25k and scale up.

How is this different from other trading algos?

Three things: 1) I actually trade this system with my own capital daily, 2) It's built specifically for S&P futures (not trying to trade everything), 3) Dynamic risk management that adapts to market conditions.

Can I use with a prop firm?

Yes. The algorithm is specifically optimized for prop firm challenges. Consistent gains, controlled drawdowns, and rule compliance built in.