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What's new in StrategyQuant

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

Build 137

Released August 2023 (v. 137)

Please note – there is no autoupdate from older versions. Please install to a separate folder.
- Final Stockpicker engine – it is now ready for live trading in our new AlgoCloud platform that will be launched in September. Numerous fixes and improvements – computation of slippage, MAE/MFE, trades on chart work including the indicators, debugging using Explore.
- Numerous fixes in new AlgoWizard editor – it was rewritten from scratch in build 136, with many additional fixes in 137. It is now faster, supports multiple open strategies, and all reported issues connected to its more advanced use (custom blocks, random groups) were fixed.
- Fixed problems running SQX on Mac with M1 and M2 chips – instructions on how to run it on M2 added on the web.
- Fixed reported issues in all backtest engines (Tradestation, MultiCharts, MetaTrader) – that could have caused differences in backtests between SQX and target trading platform.
- Improvements in Data Manager – better Stock groups management, added Broker symbols.
- Big number of bugfixes – reported by our users in 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.