We showed in the previous posts how Quant Analyzer is the most powerful tool among those known to analyze trading strategy and portfolio performance by importing the previously generated backtest of the currently running live trading results and expose them to an advanced process of analysis including periodic performance analysis as by the hour, day, day of the week, month and more, strategy stagnation time, advanced stats as Sharpe ratio, R Expectancy and more and performance and correlation of a strategy in a portfolio and much more!
This advanced tool can deal with and import data to be analyzed from the following trading data result sources:
and more services and platforms will be included by time!
For safe real money trading, it's required to be aware of every possible detail concerning the strategy employed.
The majority of trading platforms lack the ability to generate advanced trading performance analysis using tools like Monte Carlo simulation or What-If analysis besides that they also lack the tools necessary for optimal portfolio building.
But now, and thanks to Quant Analyzer a strategy and portfolio performance can be taken simply to the next level of analysis which may form the fundamental difference between failure and success in trading.
It can generate and display more advanced statistics like profits consistency and what to expect; regarding drawdown, stagnation, and monthly/yearly results for any strategy before employing it in real money trading.
It's able to compute over 60 different performance statistics including Sharpe ratio, Expectancy, and System Quality Number, moreover, it allows you to implement your own favorite statistics to apply to your strategy.
That's why Quant Analyzer is considered by any serious trader as an absolutely essential tool.
Its ability to make a clear differential recognition of the daily and hourly profiting and trading performance of an EA using the statistical analysis provided could form a strong shield for you against costly losses that the EA flaws could make in the past.
Plenty of new features and improvements were applied to the latest version, nearly all the program parts were improved.
Portfolio Master: It's probably the most important among all the newly added features, it's a tool that can determine an "optimal" portfolio from the available strategies analyzed by the software.
Openness and Extensibility is the most important feature of the new version.
StrategyQuant Platform Plugin / Snippets architecture: It's the new core of Quant Analyzer version 4.0 which allows:
All the included algorithms and statistics computations in the software are open source in the form of code snippets allowing the user to check how they work with the ability to make any further modifications or even add new statistics to the bundle.
This is not limited only to the program's main computing functions but extends almost to every component of the software as portfolio correlation computing for example where new columns and actions can be added into the databank and new charts can be also created in Trade analysis.
This doesn't replace the standard usage of the software in any way and the user can still use it without making any extensions and benefit from the community efforts and the new high rate of improvements adding to the software.
Until now the program is still in its Beta stage, so bugs and non-working functions are expected, besides that Snippets architecture and dependencies might be changed by the developers.
Like the standard Quant Analyzer version 3.0 (Free version) some functions are only in a trial or limited mode.
Information, charts or examples contained in this blog post are for illustration and educational purposes only. It should not be considered as an advice or endorsement to purchase or sell any security or financial instrument. We do not and cannot give any kind of financial advice. No employee or persons associated with us are registered or authorized to give financial advice. We do not trade on anyone's behalf, and we do not recommend any broker. On certain occasions, we have a material link to the product or service mentioned in the article. This may be in the form of compensation or remuneration.