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[PRODUCTS] [StrategyQuant platform] Trading Strategies created by Machine Learning [EA Wizard] Make Your Own EA Without Programming [Quant Analyzer] Backtest and Trading results Analyzer [Tick Data Downloader] History Tick Data Downloader                                                                           [DOCS]   ·    [FORUM]   ·    [CONTACT]   ·    [CLIENT AREA]
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[QUICK TOUR]           [FEATURES]           [PORTFOLIO MASTER]           [PRICING]
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Analyze Your Strategies and Trading Results
Find Weak Points and Potential for Improvement
Build Optimal Portfolios and use the best Money Management

* please note that EA Analyzer has been renamed to Quant Analyzer from version 4


Desktop application, test the fully functional trial version [ Trial ]    [ Pricing ]
Supports import of results/reports from platforms
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QUICKTOUR

Why Quant Analyzer?
Extendability
Portfolio Master


Why do you need Quant Analyzer?
It is very simple. Detailed knowledge = Possibility to improve.
Quant Analyzer allows you to analyze your trading and let you improve it.
Just a few examples:

Trading just a few strategies?
Review each strategy and find out if it can be improved - for example by not trading on special days using What If scenarios Find the best position sizing method using Money Management Simulator Verifying a new EA?
Use Monte Carlo on strategy backtest to find out if the strategy will survive in real world Choosing between many strategies?
Use Portfolio Master to find the optimal portfolio of your strategies

Flexibility and Extendability
One of the best features of Quant Analyzer is its total extendability. Just like you can add a new custom indicator to your favorite trading platform, you can add new feature into Quant Analyzer by making a simple code snippet.
Do you want it to compute new statistical value not included in the program? You can add it.

Do you want to create new column in the table or new field in the results overview? It is possible.

Do you want to create a new What-If case or new Money Management method? You can do it.

Even if you are not proficient in programing, there is nothing restricting you from asking somebody to do it for you.
[Learn more about Extendability]

Build optimal portfolios using a Portfolio Master

Let's say you have 20 different strategies, but your account size or sector/symbol diversification approach allows you to trade only 5 of them.

So you have to choose which 5 of these 20 strategies to trade - in other words how to build an optimal portofolio of 5 strategies from the 20 that are available.
Portfolio Master can do that for you, and more - it supports filtering by: correlation - so that portfolio doesn't contain strategies that are too correlated sectors - so that portfolio doesn't contain too many strategies from the same sector or symbol
[Learn more about Portfolio Master]


Run Monte Carlo tests of your strategies
Monte Carlo analysis (or simulation) is a powerful technique that can help you verify the strategy backtest - if the strategy is really working or if the backtest results were achieved by luck or curve fitting.


[Learn more about Monte Carlo]


What-If scenarios
Have you ever wondered how to improve your trading results? What if you avoid trading on a particular days of week?
Or how would your trading results look like if you'd somehow missed the 10 most profitable trades?
This and much more is exactly what you can simulate using the What If scenarios - they offer a flexible way to work with your trading results and filter out some of the trades using different "scenarios" of what could happen.



[Learn more about What-If scenarios]


Find the best position sizing model
Money Management Simulation feature in Quant Analyzer allows you to simulate trading your strategy with different money management (position sizing) models.
For example, compare the trading results by using fixed lots or risk % of account with different risk options.



[and much more - check all the features]
Monte Carlo Tests
What-If Scenarios
Money Management Simulations

Ready to take the next step? [ Trial ]    [ Pricing ]




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In database since 2015-07-02 and last updated on 2021-11-29
 
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