Systematic Futures Trading,
Validated by Data

A Nasdaq-100 trading system built on 14 peer-reviewed research papers, validated across 4,740+ trades over 38 months, and verified daily through live paper trading.
Start Learning Free → Watch It Trade Live
8 modules · 40 lessons · 9 lessons completely free · Verified methodology
⚠ Futures trading carries substantial risk of loss. These are historical backtest results, not live trading. Full disclosure
4,740+
Validated Trades
2.62
Profit Factor
2.29%
Max Drawdown
14
Research Papers
38
Months of Data
⚠ Historical simulation — not live trading results. Full methodology
RESEARCH & PROOF

How It Works →

14 peer-reviewed papers, the 4-layer decision architecture, validation standards (CPCV, Deflated Sharpe), and the full backtest proof with 4,740+ trades.
REAL-TIME DATA

See It Trade →

Watch the system evaluate signals in real time. Live bot status, signal monitoring, safety rails, and links to weekly analytics and trade forensics.
FREE TO START

Learn the System →

40 lessons across 8 modules. Risk management and psychology before strategy. Modules 1–2 completely free. No credit card required.
No black box — live performance verified daily Every trade decision logged Powered by 14 peer-reviewed papers Open methodology — nothing hidden
⚠️ RISK WARNING — Futures trading carries substantial risk of loss Read more
You can lose more than your initial investment. Only trade with capital you can afford to lose. All results shown are from historical simulation — not live trading. MakeMoneyMarkets is an educational platform, not a registered investment advisor. We do not provide investment advice. All trading decisions are your responsibility. See our full risk disclosure.

Frequently Asked Questions

“Is this a scam?”+
No. Our methodology is published with 14 peer-reviewed citations, and our live dashboard shows real-time performance data. The methodology cites 14 peer-reviewed papers. We lead with risk warnings, not profit promises. We show you what you could lose, not what you could gain. The TradingView indicators are free during beta. There are no hidden fees, no fake testimonials, and no countdown timers.
“Do I need trading experience?”+
No. The Academy starts with “What is trading?” and builds from zero. Module 1 is completely free. You’ll learn what futures are, how the system works, and how to paper trade before risking any money. The curriculum is 40 lessons across 8 modules — from absolute beginner to managing a funded account.
“How much does it cost?”+
Modules 1–2 (9 lessons) are completely free, no credit card required. The TradingView indicators are free during beta. Paid tiers start at $29/mo (Base: 30 lessons) and $79/mo (Pro: all 40 lessons) with a 14-day free trial. To trade MNQ micro futures, you need approximately $2,000 in a futures brokerage account. See Pricing for details.
“Can I see the live results?”+
Yes. The Live Dashboard shows the bot’s real-time status during market hours (9:30 AM – 4:00 PM ET, Mon–Fri). It displays live signals, P&L, safety rails, and risk status. The system is currently in paper-trading validation (real signals, simulated fills) before live capital deployment.
“What makes this different from other trading systems?”+
Three things: transparency (published methodology with 14 academic citations, live performance dashboard), rigor (14 peer-reviewed papers, causal backtesting with zero look-ahead bias, 4,740+ validated trades), and honesty (we tell you that 90%+ of retail traders lose money before we sell you anything). Most trading products are black boxes that promise profits. We show you the code, the research, and the risks.
4,740+ trades · 38 months · Two timeframes · Full transparency
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RISK DISCLOSURE: Past backtested performance does not guarantee future results. Futures trading carries substantial risk of loss and is not suitable for all investors. Only risk capital should be used. All metrics shown are from historical simulation with calibrated slippage — not live trading results unless explicitly labeled. The ES/MES algorithm is adapted from the NQ algorithm and has not been independently backtested.
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