I just want to share a screenshot of the new backtest software, we have written in C# to calculate and backtest the new adaptive logical-invest strategies. This software can be used to calculate the variable allocation for the MYRS, GSRS and GMRS. Since 2017, QuantTrader, this backtest software is now also available for retail and institutional investors, see here. Our backtest software QuantTrader now available Below you see a 2 year graph showing the Global Market Rotation strategy backtest. The top chart just shows the 6 ETFs used in this strategy. The middle chart shows the allocation in percent of the ETFs for each month and the bottom chart shows the performance chart with EDV and SPY as benchmarks. It is interesting to see in the backtest, that normal years with strong trends like 2013 have long periods with the same ETFs. 2013 was dominated by MDY and IEV. IEV (Europe) is used as a replacement for FEZ, because it has a 10 year history. In 2014 we had many changes between the markets, but still this type of adaptive algorithm did manage this difficult situation much better than the old algorithm which could only switch 100% into one ETF. The backtest performance for these last 2 years 19.7% per year, with a Sharpe of 1.94. The old algorithm had 15% annual performance because of a good year 2013 but only a Sharpe ratio of 0.9. In general you can say that during years with long consistent trends, both algorithms will do well, but in years like 2014, where the really best allocation is somewhere in between stocks and Treasuries, a 100% rotation algorithm has problems to find the good ETF. Best regards Frank Grossmann Here more about the capabilities of QuantTrader: All you need for steering your investment [...]
An analysis of Harry Browne´s Permanent Portfolio and further enhancements towards: A Permanent Portfolio ETF Rotation Strategy employing Momentum, Mean Reversion, and Volatility Targeting. It’s not just cars. It’s investment strategies like the permanent portfolio, too. Vintage "all-weather" investment strategies are often simple, easy to execute and give amble 'out-of-sample' data. In other words one can see how they performed in life years after they have been proposed. And like the VW bug, they are "safe" choices. Tried and true. Can you imagine a 1965 VW running in the Autobahn? Although the essence counts for a lot, for the car to survive at today's highway speeds the tech needs to be up to date. So let’s take my favourite oldie and bring it up to speed: Harry Browne’s Permanent Portfolio. The Permanent Portfolio by Harry Browne From Investopedia: … Browne believed that the four asset classes would thrive in one of the four possible macroeconomic scenarios that exist. Stocks would thrive during periods of economic prosperity. Bonds would do well in deflation and acceptably well during periods of prosperity. Gold during periods of high inflation would rapidly increase in value as the only true defence against a deteriorating currency. Cash would act as a buffer against losses during a routine recession or tight-money episode, and would act well in deflationary times. So let’s see how the original permanent portfolio Harry Browne first published has performed. The original rules of the All Weather Portfolio: 25% in a stock market Index ( S&P 500) 25% in Treasuries 25% in Gold. 25% in Cash or similar Not bad. Annual return is 7.1% and maximum draw-down comes in at 17.84% since 1992. For a far more detailed analysis of the so-called fail-save investment or permanent portfolio or "PP" you can see Gestaltu's excellent "PP Shakedown" [...]
Intelligent Algorithms run two prallel sub-strategies. Meta- layer chooses between the two sub-strategies based on current market conditions. Variable allocation to Treasuries provides protection from large drawdowns. This strategy is a good fit for investors that want to invest intelligently in the U.S. equity market as well as for stock-pickers looking for a rules-based growth strategy. The strategy can also complement our existing strategies and can work well with our more conservative strategies like BRS (bond rotation), the BUG or with non-U.S. equity strategies like World Top 4.
Dear Subscribers,We are happy to announce that the full QuantTrader version is now available to individual investors for $150 a month or $1500 per year.We will cross-subsidize a bit with the high interest we´ve received from institutional investors like RIA and hedge-fund managers so far. Fair play requires that subscribers who manage their own or other people's assets above $1m subscribe to the institutional offering.QuantTrader is a fine piece of art mixed with a lot of investment technology. Knowing that all the knobs and options might lead to an initial overload - at least compared to the 60/40% off the shelff solutions out there - we will also continue with our 60 days money back guarantee.You can find a short description of QUANTtrader here. We have prepared extensive Help & FAQ site and a dedicated forum to get you started in an interactive mode. If there is interest we can also organize a webmeeting for a more detailed walk-through during the coming weeks, just let us know in the comments. In anticipation of a vivid discussion, The Logical Invest TeamAnd now some further promotion, just to show-off our pride a bit:All you need for steering your investment process in one place:Powerful Asset Allocation AlgorithmsLightning fast Backtesting & OptimizationHighly flexible data exchange with other programsHedging with different instrumentsInvestment History and Log Get access to all current and future Logical Invest StrategiesNo strings attached – nothing to hide! Adjust and modify all our strategies to your needs:Optimize to your own preferencesReplace assets with those from your 401k or IRA accountAdd hedging through inverse ETF, Bonds, Currencies, Commodities Develop your own custom strategies on the flyWhether you love simplicity or look for sophistication. We got you covered when building your own investment solution!Select your own assets in the custom asset allocationPick from different ranking and optimization algorithmsAdd volatility [...]
On Saturday February 11, 2017 the QuantTrader Community of Logical Invest hosted their first interactive Webinar to explore the functionalities of the software and exchange on tips for building and backtesting high-performing ETF rotation momentum strategies for retirement and savings accounts. Background of QUANTtrader QUANTtrader is a swiss-made software tool used to develop, backtest and implement rules-based ETF Rotation investment strategies. Since it is built by a trader and long-time investor rather than by a developer, QuantTrader’s main strength is in building medium to long term investment portfolios that are diverse, adaptive and can control risk. All this without writing a single line of code. The software comes per-populated with all strategies currently run by Logical Invest. These are strategies that have been successfully running “live” for 1-3 years as of February 2017, so you can actually track past performance. You can customize, tweak existing or build your own strategies. Live Recording of the Session - 2 hours in-depth review on ETF Rotation Momentum Strategies Agenda: How to get started? File Management & Main functionalities Benefit of QuantTrader Dynamic Allocation vs. Online Portfolio Builder Markowitz Modern Portfolio Theory Ranking Algorithms and Strategy Parameters Optimization routine and how to avoid over optimization Extending backtests with synthetic tickers Consideration for combining strategies into MetaStrategies Showing off – Some of the best strategies and portfolios so far Free 30 days trial – Try it out now! Interested in giving it a try? Build your own high performing Portfolio for savings or retirement account, most IRA and 401k plans are supported. No credit card or PayPal needed, register now. To learn more about building your ETF Rotation Momentum strategy with QuantTrader see here. A good fit for Advisors and money managers using ETF Rotation Momentum Strategies In many ways, QT is a good fit for [...]