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What's new in StrategyQuant

Check out what’s new in the current version of StrategyQuant.

Build 143

Released January 2026 (v. 143.2708)

Build 143 is bugfix and features build:
- AlgoWizard rewritten from scratch with the latest technology for a bug-free experience and improved usability.
- AI Feature in AlgoWizard – write a strategy idea in plain text and generate a complete strategy, or load existing strategies and let AI improve them. Learn more
- New Money Management method ATR Risk-Based Sizing – dynamically adjusts position size based on market volatility, improving risk consistency across trades.
- Implemented robustness cross-checks for the AC engine (StockPicker / Single Asset) to ensure more reliable strategies.
- New trading options in the AC engine (StockPicker / Single Asset) – Allow Better Limit Fill and Limit Over added for more realistic backtests
- Auto Retest task enhanced – it now supports multi-symbol and multi-timeframe retesting to validate strategy edge across markets.
- Reliable backtests between MC/TS and SQX – all indicator and signal values match exactly up to 6 decimal places.
- Number of smaller bugfixes – as reported on the roadmap.

Risk Disclosure:
Futures and forex trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.

Hypothetical Performance Disclosure:
Hypothetical performance results have many inherent limitations, some of which are described below. no representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.

Testimonial Disclosure:
Testimonials appearing on www.strategyquant.com may not be representative of the experience of other clients or customers and is not a guarantee of future performance or success.