QubitQuant eliminates over-optimized, fragile trading algorithms. By applying rigorous machine learning and an uncompromising commitment to capital preservation, we turn data patterns into predictable, systematic alpha.
We bring institutional-grade quant concepts and tools to individual traders, providing the education and technology needed to compete.
Profit is meaningless without survival. Our primary directive is to protect capital through strict risk management and low-correlation strategies.
Every strategy is rooted in data science, not guesswork. We validate our findings with rigorous backtesting and walk-forward analysis.
From retail traders to institutional desks, our algorithms deliver consistent value.
Retail Trader
"I was skeptical about 'black box' algos, but QubitQuant's transparency is unmatched. The XAUUSD bot has consistently performed through high volatility."
Fund Manager
"We integrated their correlation models into our risk framework. The reduction in drawdown during the last quarter was significant."
Prop Firm Trader
"Passed my challenge in 3 weeks using the Mean Reversion bot. The risk management settings are exactly what I needed."
We don't guess. We analyze millions of data points to find hidden correlations and structural inefficiencies.
Proprietary strategies engineered for different market conditions and risk profiles.
Capitalizes on extreme price deviations, betting on a return to the average.
Identifies and rides established market trends using multi-timeframe analysis.
Exploits pricing inefficiencies between correlated assets in real-time.
We believe in radical transparency. Read our latest findings on market anomalies and strategy performance.
Analyzing hidden correlations between asset classes to improve strategy robustness.
How social, political, and weather events influence market volatility.
Testing common technical indicators to separate fact from fiction.
Balanced expertise: 50% Financial Theory, 50% ML Engineering.
Provides deep market structure knowledge, ensures trade logic is financially sound, analyzes macroeconomic risk factors, and defines acceptable drawdown limits.
Develops proprietary ML models for pattern recognition, builds the backtesting infrastructure, and engineers the high-speed, production-ready trading systems.
Join the waitlist for our retail signals or contact us for institutional licensing.