Try our Strategy and Portfolio Backtesting Software QuantTrader for free!
QuantTrader is our proprietary backtesting software used to calculate and backtest the Logical Invest strategies. The software can be licensed, which will give professional investors several advantages over the monthly Logical Invest strategy emails. The software runs under Windows only.
- Flexible data interface: Daily automatic download of the ETF/Stock intraday and closing prices
- Visual strategy backtest performance: Quick performance charts and detailed statistical information of your asset allocation backtest.
- Performance logs and ranking logs can be exported in excel format for further reports or analysis.
- Every day the optimum asset allocation is indicated. This allows trading strategy rebalancing whenever you want. This way, you can for example rebalance before the official end of month rebalancing.
- It is very simple to change strategy and portfolio backtest parameters. This way an investor can fine-tune his risk return profile. It is for example simple to limit volatility of a strategy to a certain level (for example 5%)
- All Logical-Invest strategies and many more single and meta systems are included in the license. New models can be easily built and tested. With a click, you can duplicate existing strategies and change ETFs and parameters to get a new strategy. If necessary Logical Invest will advise you on how to do it.
- All ETFs available from Yahoo finance can be used to build new strategies.
- The QuantTrader Community forum is based on share and receive back
- The full license includes a one hour training session.
Detailed Product Description
Online QuantTrader Forum
Background why we build our own strategy and portfolio backtesting software
There is a plentitude of stock backtesting software out there: Thinkorswim, Zipline, MT4, Amibroker, Wealthlab, TradingBlox, NinjaTrader, or Multicharts to name some of the popular ones. On the other hand, there are web applications like for example Quantopian, QuantConnect, ETFReplay, or Portfolio 123. And then there are many programming languages which allow you to code your own backtesting, like Python, C#, C++, R, and good old Visual Basic in Excel.
So why did we decide to develop our own backtesting software?
Simple: After having tried out most of above solutions, we found none of them to allow simple coding free, robust and most importantly fast backtesting of both single trading strategies and investment portfolios.
Backtest strategy of ETF, stocks, mutual funds, forex, futures
Some of them are rather designed for single stock trading, or with a very narrow focus on forex trading. Being enthusiastic about ETF trading strategies we needed a platform to support a full portfolio backtest, that is a robust implementation of our quantitative rules, flexible data and prices interface, and the option to quickly try out different asset classes.
QuantTrader allows you to select the ETF, stocks, mutual funds, forex, futures, and any other financial instrument with publicly available pricing history. The you decide for one of the 8 ranking algorithms based on momentum and mean-reversion, and on top your hedging and crash-protection strategy.
Backtest Portfolio: Build your investment portfolio based on Trading Strategies
On the other hand, in most backtesting platforms you need be an expert in coding of the used programming or script language, or you are stuck with a simplistic graphical interface which quickly will limit your ability to perform a quick test or develop a more complex strategy. We do a lot of coding for quick prototyping and try-out systems, but once we had found and optimized an algorithmic trading logic which seemed optimal for us we decided to program a simple and robust backtesting software.
Portfolio Backtesting can be done on two distinct levels. Either you blend single stocks, ETFS, mutual funds or forex into a fixed-weight asset allocation – this can be done with standard modern portfolio theory by Harry Markowitz, or different quantitative and timing models – and is rather simple.
But when you try to blend different trading strategies into a meta-strategy or portfolio of strategies things get quickly complicated: Models for trading the equity curve, money management, different asset allocation schemes are available, yet not easy to implement.
QuantTrader uses a different multi-layered approach: We simply treat the underlying trading strategies as price or equity curves like you know from stock, ETF, futures or forex trading. We then apply the same ranking and optimization logic to them on the meta-strategy level.