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What's new in StrategyQuant

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

136

Released December 2022 (v. 136)

Please note – there is no installer/autoupdate for version 136 yet. Please install by unzipping the archive to your target folder.
- New Stockpicker engine – for strategies that trade on groups of stocks – for example whole indexes like S&P 500.
- New Single-asset cloud strategy engine – for the same strategies as in Stockpicker engine, but on one symbol only, tradable on the AlgoWizard cloud.
- New version of AW Editor in SQ – it was rewritten from scratch for maintainability and performance reasons. It has also many new features:
  – support for the new Stockpicker and single assed cloud strategies
  – support for multiple files open at the same time
  – improved work with Random groups and Custom blocks
  – speed improvements
- Added automatic reloading of SQX UI after snippets recompilation – no need to restart SQX when developing snippets anymore.
- Added HistoryDataLoader class to get access to (non-protected) history data from snippets.
- Added example of SQX plugin including UI – plugin implements requested filter of the databank by correlation.
- Added parameters (input arguments) to run Custom Analysis snippets.
- Added action to run CA snippet right from the databank.
- Added new Monte Carlo methods to randomize history OHLC prices.
- Fixed bugs generating from random groups.
- Fixed over 400 reported bugs from our task system 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.