StrategyQuant Platform Review

StrategyQuant Algorithmic Platform

StrategyQuant is an innovative algorithmic platform that allows the creation of automated trading strategies for any market without any programming skills. The software can help traders optimize and backtest their auto-trading strategies by using a wide variety of built-in tools.

StrategyQuant Software Review

Traders can use thousands of already-made automated trade strategies or start building their trading strategies, completely from scratch. One of the greatest advantages when using the StrategyQuant platform is the ability for sophisticated backtesting and step-by-step optimization:

• Developing from scratch automated trading strategies without programming skills

• Trading any financial market (Forex, Equities, Cryptocurrencies, Bonds, etc.)

• Selecting from a wide library of thousands of random existing automated strategies

• Four available modes (developing, re-testing, improvement, and optimization)

• The end product can be an Expert Advisor (EA) for MetaTrader4, MetaTrader5, NinjaTrader, or TradeStation

• There is a 14-day trial (a fully-functional trial)

• Customer support and an active community of thousands of members

► StrategyQuant free 14-day trial

StrategyQuant Functionality

StrategyQuant is a development platform that incorporates machine learning techniques and genetic programming to create advanced automated trading strategies (Expert Advisors) to trade any financial market (currencies, futures, equities, crypto) on any timeframe.

These are some key features of the software:

1. Walk-Forward Optimization and Walk-Forward Matrix (3d Charts)

2. Advanced Monte Carlo methods and random strategy generation (no curve fitting)

3. Multi-currency backtesting

4. Sophisticated backtesting and optimization via the use of external tick-data

The StrategyQuant X

StrategyQuant X is used for spotting and researching tradable systematic strategies. These are some features of the StrategyQuant X:

• Build strategies from your own templates

• Fully automated and customizable workflow

• Backtesting engine with real tick data support and Walk-Forward Matrix (cluster analysis)

• Possibility to extend StrategyQuant with your own indicators and building blocks

Optimizing & Improving Automated Strategies

The StrategyQuant package also includes Quant Analyzer, software needed for portfolio analysis and construction, and EA Wizard an excellent program to develop trading ideas without knowing MQL programming.

Robustness tests / Overfitting protection

• Overfitting (curve-fitting) is a serious problem in all areas related to machine learning and data mining

• Retests with different settings

• Two types of Monte Carlo tests & Advanced filtering

• Walk-Forward analysis & Walk-Forward Matrix (cluster analysis)

• 3D optimization charts

Using Monte Carlo to test the quality of automated-strategies

In general, Monte Carlo methods use randomness (repeated random sampling) to solve problems that might be deterministic in principle. The StrategyQuant Monte Carlo testing allows the evaluation of the quality of a trading strategy especially as it concerns the potential for long-term profitability when trading real capital.

• Two separate Monte Carlo tests with 8 different simulation types allow you to simulate the behavior of your strategy with different random variations

• You can incorporate Monte Carlo tests directly into your building workflow and automatically reject strategies that don’t pass the Monte Carlo tests

Using wide options for filtering strategies

Using wide options for filtering automated strategies makes it easier to determine the results (profit factor, how much profit it will probably earn, the maximum risk is, etc.)

Walk-Forward Optimization

StrategyQuant uses walk-forward optimization as a special module of backtesting strategies. This module contains multiple smaller backtesting and optimizing experiments and simulates how traders could work with the strategy during real trading.

• With WF Matrix you can verify if there are clusters of “optimal” and stable parameters for your strategy

• Optimize trading systems or the parameter values on a past segment of market data

• Market data segmentation into a configurable number of periods

• Verify the profit potential by testing trade strategies forward, following the optimization segment

• The optimization periods are followed by Out of Sample tests

StrategyQuant Software Review: Pros & Cons

The StrategyQuant software is maybe the best solution for retail and professional traders for strategy building without any programming skills. The great advantage of the software is the advanced backtesting and strategy re-optimization process via the walk-forward optimization and walk-forward modules.

Major StrategyQuant Review Pros

(√) Advanced automated-strategy building, or, choose from thousands of existing automated strategies

(√) Sophisticated optimization and backtesting processes

(√) Generates fully compatible EAs for MetaTrader4, MetaTrader5, TradeStation, or NinjaTrader

(√) A fully functional 14-day free trial

Major StrategyQuant Review Cons

(x) The high price to obtain the software

License & Pricing

StartegyQuant offers the following starter and professional packages:

• 1-lifetime license per computer and discounts for multiple computers

• Use the software on a work PC and a home PC

• Free lifetime updates & lifetime customer support

• The price for buying the Starter Package is 990 USD and 1,490 USD for the Professional Package

The StrategyQuant Free trial

The StrategyQuant offers a fully functional 14-day trial version. As concerns Foreign Exchange trading, the StrategyQuant trial includes data for EUR/USD, GBP/USD, USD/CHF, and USD/JPY.

► More about the StrategyQuant free 14-day trial

■ StrategyQuant Algorithmic Platform Review

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