Quant Systems is a third-party trading system developer specializing in automated trading systems, algorithmic trading strategies, trading algorithm design, and quantitative trading analysis. We offer two black-box trading systems – the Evolution System, and the Opt-In System that allows both retail and professional investors to take advantage of market inefficiencies by placing high-probability trades (10-15 per month) when the trading systems determines there is an edge to be had.
Evolution Trading System
Past performance is not indicative of future performance.
Trading futures involves substantial risk and is not suitable for all investors.
$15,000 minimum investment
Designed For Profitability In Both Bear & Bull Markets
The Evolution Trading System trades in both bull & bear markets attempting to take advantage of shorter-term market inefficiencies.
State Based Design Methodology
The Evolution Trading System has been designed using our rule based design methodology. The Evolution Trading System consists of three different algorithms, all designed to take advantage of certain market conditions while minimizing risk As seen on the Good Trader Podcast.
Fully Automated & Algorithmic Trading System
No human intervention involved. Evolution is a 100% technical driven trading system.
Evolution Monthly Performance (Hypothetical Account)
The following monthly performance table assumes 1 contract is being traded throughout the entire period under analysis. Numbers displayed represent % gain/loss in the hypothetical account (refer to CFTC RULE 4.41 for limitations of hypothetical accounts).
| January | February | March | April | May | June | July | August | September | October | November | December | Year | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022 | -15.69 | -10.60 | 12.08 | -14.35 | 27.82 | 9.01 | 12.99 | -14.56 | -2.21 | 15.19 | 19.68 | ||
| 2021 | -5.61 | 1.35 | 11.18 | 31.43 | 6.85 | 3.79 | 26.54 | 23.58 | 5.19 | 50.33 | -5.43 | 17.89 | 167.09 |
| 2020 | 28.39 | -3.97 | -5.59 | -2.54 | 13.30 | -18.47 | 2.77 | 19.81 | -7.59 | 26.11 |
CFTC RULE 4.41: Results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown. Trading futures involves substantial risk of loss and is not appropriate for all investors.
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Opt-In Trading System
Past performance is not indicative of future performance.
Trading futures involves substantial risk and is not suitable for all investors.
$15,000 minimum investment
Designed For Profitability In Both Bear & Bull Markets
The Opt-In System structure allows for adaptability in bull, bear and consolidation market environments.
Utilizes market data to identify shorter term counter trends and market mispricing.
The Opt-In Trading System combines multiple Alpha strategic concepts. This allows multiple entries with an intelligent and dynamic money management model. Each position can trade independently from each other to increase the potential for consistency and profitability.
Fully Automated & Algorithmic Trading System
No human intervention involved. The Opt-In System is a 100% technical driven trading system.
Opt-In Monthly Performance (Hypothetical Account)
The following monthly performance table assumes up to 10 micro contracts are being traded throughout the entire period under analysis. Numbers displayed represent % gain/loss in the hypothetical account (refer to CFTC RULE 4.41 for limitations of hypothetical accounts).
| January | February | March | April | May | June | July | August | September | October | November | December | Year | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022 | -3.37 | 11.24 | -4.45 | 2.33 | 5.21 | -11.51 | 4.49 | -2.90 | -3.06 | -6.17 | -9.69 | ||
| 2021 | 14.46 | 10.38 | 19.93 | 9.03 | 11.16 | 1.67 | 7.54 | 26.80 | -6.30 | 12.16 | 4.54 | 3.61 | 189.78 |
| 2020 | -0.25 | -21.51 | -18.13 | -27.77 | 45.91 | -1.77 | -33.63 |
CFTC RULE 4.41: Results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown. Trading futures involves substantial risk of loss and is not appropriate for all investors.
Our Mission Is to Build the Greatest Trading System We Can with an Emphasis on Generating Above Average Returns While Minimizing Risk.
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“What seems too high and risky to the majority generally goes higher and what seems low and cheap generally goes lower.”
– William O’Neil
Sensitive to Curve Fitting
We avoid over-optimization and curve fitting by using a minimal amount of time-proven indicators on larger time-frame increments.
Pre-trade Testing
We employ walk-forward testing when developing our systems to ensure strategy integrity.
Rule Based Risk Mgmt
We employ pre-defined mechanical rules to select markets, select trades, and employ risk management techniques.
