Building Automated Trading Systems: Statistical Models for Prop Firm Success

FinanceSTEAL This Trading Champion’s Exact Strategy - Math Based Models for Prop Firms

TL;DR

World futures trading champion Gian Luca Brun reveals his data-driven statistical trading framework using objectified market structure rules, risk models, and backtesting protocols to achieve 200%+ returns and consistent prop firm payouts.

Key Takeaways

1Statistical trading amplifies existing profitable strategies rather than creating profitability; Brun's 36% win rate with positive expectancy outperforms discretionary traders' 70% win rates with poor risk-reward
2Triple Print concept objectifies supply/demand zones by requiring 3 valid candles (body longer than wick) in the latest retracement before impulse, eliminating subjective zone selection
3Wick Gap rule prevents 75% of losing trades by measuring distance between closest wicks to stop loss; only enter when distance exceeds 0.5 pips (threshold identified through testing 0.2-0.6 pip ranges)
4Chunk optimization detects overfitting by splitting 1,000 trades into 10 chunks of 100 each; if win rates vary by more than 20% between chunks, the edge is coincidence not strategy
5Expectancy (return per dollar risked) is the only metric predicting profitability; 0.10-0.30 is healthy, 0.40-0.50 is strong, above 0.50 is exceptional—more important than win rate
6Manual backtesting includes real costs: average spread (0.8 pips on EUR/USD), commission ($6 per lot), 5% slippage reduction, triple swap on Wednesdays, minimum 1,000 trades to avoid variance bias
7Strategy works across 33 assets (forex pairs, indices) on single 15-minute timeframe using mono-timeframe approach; peripheral structure + actual structure alignment determines directional potential limits

Notable Quotes

“A concept tell you nothing about how to be profitable in trading. It tells you really nothing because remember that a concept knowing a concept make you feel smart. A strategy instead makes you money.”
— Gian Luca Brun

“Statistical trading doesn't make a strategy profitable. It take a strategy that already works and put it on steroids.”
— Gian Luca Brun

“I'm getting a 60% win rate with one to four reward. I don't guess. I execute my data. That's the difference.”
— Gian Luca Brun

“Win rate is just vanity. It looks it it looks cool when a guy comes to you and say I have a 70% win rate. That's mean nothing. Expectancy is truth.”
— Gian Luca Brun

Chapters

1. From Losing Trader to Statistical Champion

Brun's journey from discretionary trading losses (following harmonic scanners, Fibonacci, ICT conflicting advice) to profitability through mechanical trading, then to statistical optimization at age 22 after 6 years of learning.

2. Objectifying Market Structure: P, A, and Internal Zones

Framework for reading peripheral structure (P), actual structure (A), and internal structure using volume profile or 75% Fibonacci level as directional potential limits; only following latest two breakouts with body closes, not wicks.

3. Triple Print Concept: Quantifying Supply and Demand

Creating valid demand zones requires 3 valid candles (body length > wick length measured in pips with ruler tool) in latest retracement; zones are the last 3 candles before impulse move, not their specific location.

4. Wick Gap and Entry Objectification

Eliminating liquidity sweep trades by measuring distance (in pips) between two closest wicks to stop loss; optimal threshold of 0.5+ pips found through testing ranges 0.2-0.6, preventing entries when wicks are too tight.

5. Backtesting Methodology and Avoiding Overfitting

Chunk optimization splits 1,000-trade dataset into 10 chunks; if any chunk's win rate deviates more than 20%, strategy is overfitted coincidence; worst case scenario tested via Monte Carlo showing potential 13-trade losing streaks.

6. Real-World Trading Costs and Realistic Backtesting

Incorporating spread (0.8 pips average), commission ($6/lot), 5% slippage reduction, and Wednesday triple swap into backtests; forgetting these turns winning fantasy equity curves into break-even live trading.

7. Expectancy: The Only Metric That Matters

Expectancy (profit per dollar risked) ranges: 0.10-0.30 healthy, 0.40-0.50 strong, 0.50+ excellent; Brun's 36% win rate generates higher expectancy than competitor's 70% win rate, proving win rate is vanity metric.

8. Profit Factor Pitfalls and Sharpe Ratio

Profit factor misleads when one lucky trade inflates results; removing best winning trade reveals true edge—if still profitable, strategy is solid; Sharpe ratio measures consistency of path to returns, not returns themselves.

9. Multi-Asset Strategy Across 33 Instruments

Strategy operates on 33 assets (forex pairs, indices like Dow Jones, avoiding metals) using single 15-minute timeframe; volume profile preferred over Fibonacci for precision, tested across thousands of trades per parameter range.

10. Statistical vs. Mechanical vs. Discretionary Trading

Discretionary = subjective (lost money); mechanical = objective rule-based (profitable); statistical = optimizing profitable mechanical strategies to limits using data analysis (champion-level results via world rankings and prop firm payouts).

Key People & Entities

Gian Luca Brun: 20-year-old futures trading champion; achieved 200%+ returns in 9 months; ranked 3x in Robins World Cup Trading Forex Division, won twice; generates six-figure payouts from prop firms using statistical trading models
Ninja Trader: Award-winning futures trading platform with advanced charting, depth of market tools, and market replay for simulation
Apex Trader Funding: Largest futures prop firm; paid $600M+ to traders; offers up to 20 accounts (20K-150K sizes), no MAE/5:1 rules, 100% payout on approved requests
Tradzella: All-in-one trading journal platform with AI co-pilot for real-time trade analysis, automated broker sync, and strategy backtesting across years of market data
Chart Academy: Free trading education platform covering futures, options, crypto, stocks, forex with worldclass trader masterclasses

Glossary

Triple Print: Objective method for identifying supply/demand zones requiring 3 valid candles (body length > wick length) within the latest retracement before an impulse move
Expectancy: Average profit per dollar risked; ranges 0.10-0.30 (healthy), 0.40-0.50 (strong), 0.50+ (excellent); only metric truly predicting strategy profitability
Wick Gap: Distance measured in pips between two closest wicks to a stop loss; optimal threshold of 0.5+ pips prevents entry during tight liquidity conditions
Chunk Optimization: Backtesting validation method splitting 1,000 trades into 10 chunks of 100; detects overfitting if win rate varies by more than 20% between chunks
Directional Potential: Limit on how far price can move in actual structure direction before reverting to peripheral structure; set by volume profile value area high/low or 75% Fibonacci level
Peripheral Structure (P): Larger market structure representing overall trend direction; takes priority when actual structure conflicts
Actual Structure (A): Latest true breakout identified by body closing beyond level; resets as new breakouts occur
Internal Structure: Retracement within existing P/A zone without breaking outer levels; creates trading opportunities within established directional potential
Overfitting: Optimizing strategy so perfectly for past data that it fails live; detected via chunk optimization showing inconsistent results across time periods
Profit Factor: Total profit divided by total loss; above 1.0 is profitable but unreliable without removing best winning trade to confirm true edge

Explore