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Welcome. MYRS still works well. 2023,2024 and 2025 returns (actual signal based) were 43.8, 25.6%, 38.1% respectively. MYRS has been adapted since 2018 as one ETF was discontinued. Also around 2020 we improved our hedging sub strategies to include gold, tips and GSY.
Basic idea works (collection of risk premium) but we adapt and tweak the strategy as the market changes.
Mean reversion configuration on QuantTrader:
The Mean Reversion feature allows users to introduce a short-term reversal factor into the primary medium-term momentum ranking algorithm. This is configured using the Mean Reversion Period and Mean Reversion Weight fields found in the strategy parameters section of the backtesting window.
Parameters
1. Mean Reversion Period (days):
◦ Function: Defines the recent history window (e.g., 5 days) used to calculate short-term price movement.
◦ Example: Setting this to 5 means the strategy assesses the return generated in the last five trading days.
2. Mean Reversion Weight (%):
◦ Function: Determines the magnitude and direction in which the short-term performance will adjust the symbol’s overall ranking performance.
◦ Positive Weight (Momentum Acceleration): If set to 100%, the full return of the last five days is added to the total return calculation for ranking.
◦ Negative Weight (Reversal/Buy Cheap): If set to -100%, the full return of the last five days is subtracted from the total return calculation.
Calculation Logic Example (Negative Weight)
Suppose an ETF is being ranked over a 60-day lookback period.
1. Lookback Performance: The ETF has a calculated return of +10% over the full 60 days.
2. Mean Reversion Period: The strategy is set with a Mean Reversion Period of 5 days and a Mean Reversion Weight of -100%.
3. Recent Spike: The ETF experienced a +1% return during the last 5 days (a short-term spike).
4. Ranking Adjustment: Because the weight is -100%, the last five days’ return (+1%) is subtracted from the total performance.
◦ Resulting Rank Performance: 10% – 1% = 9%.
Outcome: By applying a negative weight, the recent short-term rally is penalized, lowering the ETF’s effective ranking performance. This implements a mean reversion bias, preferring assets that have recently pulled back, rather than those spiking, based on the belief that the spiking asset will soon revert to its mean.More on: https://logical-invest.com/quanttrader-application/portfolio-backtesting-builder-main-windows
This question has been posted in another thread:
https://logical-invest.com/forums/topic/could-someone-provide-me-insights-on-portfolio-allocation-strategiesThis question has been posted in another thread:
https://logical-invest.com/forums/topic/could-someone-provide-me-insights-on-portfolio-allocation-strategiesThis question has been posted in another thread:
https://logical-invest.com/forums/topic/could-someone-provide-me-insights-on-portfolio-allocation-strategiesThis question has been posted in another thread:
https://logical-invest.com/forums/topic/could-someone-provide-me-insights-on-portfolio-allocation-strategiesThis question has been posted in another thread:
https://logical-invest.com/forums/topic/could-someone-provide-me-insights-on-portfolio-allocation-strategiesIt’s been solved. Try logging into QuantTrader again.
If you have any problems just let us know here or by email.Yes, we have an issue with QuantTrader authorization (not Ligical-invest which works fine). We are working on it and will let you know once it is resolved. Thank you for your patience.
Thank you both for your feedback.
Robert, apologies for not helping more with QT, usually installing QuantTrader just works. It’s true that the best way to understand how our strategies are constructed is to run and play around with parameters in QuantTrader.
I created a simple video of downloading and running QT. Maybe it will help pinpoint the problem.
https://youtu.be/EJMB_66N6wwDear Kevin,
Thank you for the update! Both SHNY and ZIVB sound like good candidates for each strategy. We ‘ll take a look at them as well as current volume and spreads.It sounds like you are experienced in momentum and rotation strategies, so we would recommend using QuantTrader Light or even better QuantTrader pro, which is what we use. In QT light you can use our strategies and better see how they work. In QT pro you can create custom strategies including what you are used to doing in Excel (create a list of ETFs and then pick the x best by pure performance) but with the added feature of using risk-adjusted performance. It can be pure momentum (rank by x-day return), or risk adjusted momentum (return/risk) or even just minimum volatility (consider mostly risk and correlation).
Another benefit is that you can create multiple sub-strategies of say 10-50 ETFs each and then ‘rank’ the sub-strategies as if they are ETFs themselves. This way you are not mixing 200 ETFs, most of which correlate highly to SPY, in the same basket.
You get a 30-day trial of pro so feel free to experiment creating a strategy.
https://logical-invest.com/quanttrader-application/backtesting-software-tutorial/1. Entry and exit prices are not that critical given we rebalance once or twice a month. You can place MOC (market on close) orders on the first day of the month or use a limit order during the trading day. You could also use a fill at open if the ETF is very liquid.
2. After the 30-day trial you will only see delayed allocations. Registering will unlock current allocations.
3. It’s rare but it doesn’t hurt having QT run on an old windows pc just in case.Hi Zeke,
We will consider doing that. For now we have a change log for QuantTrader that shows when a major strategy update happens. https://logical-invest.com/quanttrader-application/download/
Keep in mind all our strategies originate from QuantTrader which you can download and play around for free (30 days).Frank, jmont,
Good points. Some addressed in our new year’s newsletter. T-bills are not a bad choice at all. https://logical-invest.com/the-logical-invest-newsletter-for-january-2023/Dear Zeke,
We update our strategies every few years depending on the markets. Our last update was on July 2022. When we do, we change strategy parameters and we re-backtest the whole history. Usually the backtested results are better as we change parameters to compensate for things that have already happened. A good example is TLT and the bond markets. As we adapt strategies to rely less on TLT, we create strategies that would have behaved better in the past and that we hope will behave better in the future.For example by adding TIPS to our hedge strategy, we make it more robust to an inflationary environments. We don’t force TIPS, we just add it to choices the algo can make. When we re-backtest the algo obviously picks TIPS more often and creates a different equity than the actual one, when TIPS was not a choice.
I hope this explanation helps.
Our strategies come from QuantTrader. You can see the change log here:
https://logical-invest.com/quanttrader-application/download/We update our strategies every few years depending on the markets. Our last update was on July 2022. When we do, we change strategy parameters and we re-backtest the whole history. Usually the backtested results are better as we change parameters to compensate for things that have already happened. A good example is TLT and the bond markets. As we adapt strategies to rely less on TLT, we create strategies that would have behaved better in the past and that we hope sill behave better in the future.
For example by adding TIPS to our hedge strategy, we make it more robust to an inflationary environments. We don’t force TIPS, we just add it to choices the algo can make. When we re-backtest the algo obviously picks TIPS more often and creates a different equity than the actual one, when TIPS was not a choice.
Our strategies come from QuantTrader. You can see the change log
https://logical-invest.com/quanttrader-application/download/Again, if you can use QuantTrader, you can get correct updated strategy signals until we correct the website data.
There has a problem with the updates on the site. We are still looking into it. If you have access to QuantTrader (all plans except “Core”), please update the data and check the new allocations there. https://logical-invest.com/quanttrader-application/download/
All strategies rebalance in a predictable schedule, on the first business day of every month. Exceptions are the Maximum Yield and Crypto Top 2 strategies that additionally rebalance mid-month. Each subscriber receives a monthly newsletter email with their new portfolio allocations but can also just go online on the designated day and get the allocations, in cease the email fails.
Let us know if you have more questions.If you are based in the U.S. and use a major brokerage you should be able to either use Bitcoin spot (Interactive Brokers via Paxos), the BITO ETF (most brokerages) or Bitcoin CME Futures.
Non-US customers hava an even bigger choice including Canadian, E.U. based or Swiss ETFs.
Of course you would! It’s like you long time favorite 3xUIS but version 2 ;)
Watch out the draw-downs, though!Dear Jason,
Apologies for the delay. We did respond via email: In effect your subscription has been cancelled. The reason it is “pending cancellation” is that it allows you to use the rest of the subscription time. It will not renew.
If you want a pro-rated refund, that is a different issue. We provide a choice of monthly-based subscriptions as well as a 60-day full refund policy and a yearly plan discount vs the monthly subscription. Usually we do not refund past the first 60-days. If you feel that is unfair just reach out and we can work something out.On the chart, you can always drill down to the strategies that are part of the conservative portfolio and see the details (using ‘Holdings’ and ‘Allocations’ links). It seems our HEDGE strategy (which is part of the US Market, which in turn is part of the conservative portfolio) was in GSY before but has since switched to GLD for February. hence the allocation to to GLD.
Hi Nelson,
Draw/Start is the drawdown since the start of the strategy.
Draw/Range is the DD during the range depicted in the chart.I Hope this helps!
The forums are active and monitored, alas less often due to holidays/family engagements. Keep in mind the forum is best used to exchange ideas amongst users and there is no way for us to be notified directly (via @). We manually go through all new posts but we may miss one on occasion. For questions concerning us directly feel free to email us: (name) at logical-invest.com.
I proposed a permanent portfolio back in January that includes Bitcoin on my personal site: https://sanzprophet.com/2020/01/bitcoin-plus-harry-browns-permanent-portfolio-a-mix-in-heaven/
If there is demand we can incorporate and track it here at LI as a portfolio.
As for guidance I’ll be glad to help our. An easy way to start is to open a Coinbase account and just transfer funds from your bank or broker via ACH, then buy Bitcoin. Other options include Gemini, itBit or even BlockFi (pays interest on you holdings). If you have access to futures you can also buy CME’a future contract.
Of course you can eventually hold your own BTC in a hardware wallet but starting from a U.S. regulated and reputable exchange is a good start.
We are waiting for final data to be adjusted for dividends before we calculate and publish allocations. Should be in the next hour or so before NYSE opens.
Interesting ideas Midnight122! For better or worse we run by quant strategies and rules, so the actual models dictate allocations. However we do evaluate markets and our own opinions do ’tilt’ how strategies are build and to what sectors (like small caps) we expose them to. We ‘ll keep this in mind.
Dear Brad,
As you know we responded via email but I am pasting some of the answers here as others may find the information useful:
We only rebalance on the 1st of the month so you only need to check for new signals then (exception is the Maximum Yield Strategy that trades 2 times a month). Once you setup “My portfolio”, you will receive an email/newsletter on the 1st with the new allocations.
We recommend that you check the site and directly retrieve allocations on the 1st, few hours before NYSE opens.
The other option is to use QuantTrader (see previous email).Quantrader has 2 options: Light and Pro
Light gives you read only access to strategies and portfolios. The benefit is that sine QT holds the strategies, you can issue each strategy allocations when you choose to rather than being tied into the publish day (1st of the month). So you could download intraday data at the end of the month and trade before closing rather than wait for the 1st.
https://logical-invest.com/quanttrader-to-cut-signals/QuantTrader Pro lets you customize and/or create your own strategies as well as portfolios of strategies. It is best suited for Advisors/Managers servicing multiple clients.
You should do your own research but some additional risks inherent in leveraged ETFs is price decay
https://rightsideofthechart.com/leveraged-etf-price-decay-explained/
as well as what happened to XIV, which is termination by the issuer when price swings of the underlying become too extreme.
https://www.investors.com/etfs-and-funds/etfs/investors-lawsuit-lost-money-xiv-meltdown/
Using leveraged products always contains a greater risk of ruin (for you and the issuer) and backtests never fully reflect future black-swan events. You should always prepare for much higher drawdowns of what backtests show. Backtest drawdown numbers are most useful for comparing one strategy vs another.Hello Michael,
Both Mark and Frank have a point. I may add that this same argument was present a few years back were yields were again very low. At that point, for the many reasons you mentioned, we created the HEDGE sub-strategy instead of purely relying on TLT for hedging equity risk. The HEDGE sub-strategy added access to TIPS, cash and gold. The adjustment has been towards possible inflation which can be captured via GLD and in part TIPS, or pure deflation via GSY (cash). Interestingly, despite everyone believing interest rates can only go up, TLT managed to be one of the best asset performers and was an excellent hedge to the March 2020 crash. Lesson is we just don’t know what will happen and how long interests will be close or sub-zero. Our HEDGE is flexible enough to deal with a changing environment, even an inflationary one.
Hi Bruce,
Not really. All our backtested models are based on the assumption that the strategies/portfolios are re-balanced monthly. There is no need to rebalance more often. If you were to do so, it would be a different strategy, one that assumes mean reversion is at play as you would be selling the asset that gained in price and buying the one that lost in price.
James,
To give credit where credit is due, Frank is our ‘master strategist’. He picks parameters based on optimazation on QT, using tools to avoid overfitting as well as using common sense and his own experience as a trader.
Hi James,
The best way to look at the components and rules for the strategies is to download QuantTrader and see the components, lookback periods etc.
Both consist of 2 sub-strategies. A HEDGE sub-strategy and a US Market unheged one.
But if you read the description of HEDGE vs HEDGE 2X you will see there are different ETF choices. H2xHEDGE can only allocate to Gold2x and Treasury2x while HEDGE can additionally choose allocation to TIPS and GSY (cash).
You best bet is to spend some time reading through our forum which goes back to 2014. We have kept it open and uncensored so you can read the good and the bad. You can also build an understanding of our pov, get a feel of who we are and whether our service can add value to your own investment decisions.
One such strategy is run by Frank (@LI) as described here:
https://logical-invest.com/forums/topic/logical-invest-teams-own-personal-allocations/#post-78980Keep in mind that holding an asset and selling calls against (ie, covered call) is equivalent to selling a Put. Both strategies have the same risk/reward profile (assuming there is enough cash to back the put in case of assignment).
Looking fwd to other ideas. Given enough interest I may try to backtest a simplified version of this.
It seems something is up with our email provider.
We send you an email.
Feel free to contact us: mail at [our website address]Thank you for the feedback Robert. I think many subscribers agree with you in that we do need to further discuss these Core portfolios changes.
Some subscribers trade on the last day of the month, some on the first, I myself sometimes trade on the second.
There is no rule as to when to trade. If there was one, it would defeat the purpose as everyone, at least from LI, would crowd the trade. In our experience it is best to at least wait 30 minutes after NYSE opens so that the market stabilises if there was news or similar events that creates volatility. Our advice is to pick a date and time that suits your own work and family schedule and then stick to that.
As for dividends I am not aware of that. I am sure there are strategies out there detailing how to capture dividends or avoid them and trade the price instead.
Robin, we extended a 30-day free access to premium QuantTrader so you can explore the 2x idea. Then you can let us know :).
Try logging in to QT again.
Some QT stuff here: https://logical-invest.com/quanttrader-application/portfolio-optimization-backtesting-software-help/QT Light lets you visualize all Logical Invest strategies, sub-strategies, settings, metrics, etc. It also allows you to issue ‘signals’ (i.e. see current model allocations) at any time, not just on the 1st day of the month.
QT Premium lets you additionally:
1. Import your own symbols
2. Customize pre-existing strategies or create new ones.
3. Mix our (or your) strategies into your own dynamic ‘meta-strategies'(portfolios that dynamically pick and combine strategies).An example would be an investor who likes our Universal Investment strategy (SPY/HEDGE) but wants to replace SPY with QQQ. The could create a custom UIS_qqq_version, backtest it, find robust parameters and then use it to issue their own signals.
Everyone now gets the reduced pricing:
https://logical-invest.com/app/subscribeOur pricing used to be substantially higher ($100/m for All Strategies) as we catered more to advanced users with larger funds.
I adjust the re-balance date. Much like MYRS, the strategy takes advantage of contango but it has its’ own sets of rules, some being discretionary. This may not be the best time for such a strategy without using some extra type of protection. There are also variations that can be traded like selling a spread that can reduce risk.
Just to clear up the discussion on credit card data: We use PayPal and Stripe to process payments. Both are high quality, tried and true U.S. based payment providers. We do not collect, keep or process any credit card data.
As for the website: You are right! As we have said before, we are horrible at both web-design and marketing. We are better at trading so we do spend most of the time researching and investing our own funds. This costs us some business but it is a choice we have made…
That said we added a much needed Contact Us link on the main site , corrected the link and we are considering how to simplify our ever growing complicated site!
You could do that using Norgate data and Amibroker. Unfortunately it is not that simple to input the data to QuantTrader, our proprietary software since we would have to create a whole ‘subsystem’ from scratch just to handle that data. It’s probably easier to create the N100 startegy in Amibroker and run the backtest there. But this too is complicated and inefficient since the N100 strategy (and most LI strategies) are not a good match for the AB ‘vector type’ logic. We have run our own private tests and our conclusion is that it’s not worth the effort. We have survivorship-free out-of-sample data since July 2015 when N100 went live that seem to validate the logic.
https://logical-invest.com/app/strategy.php?symbol=NAS100! (you need to be registered to view)
We are well aware of survivorship bias but both the Nasdaq 100 and Dow30 backtests do not take it into account. That means that long term backtested are optimistic. On the other hand the Nasdaq 100 has been ‘live’ for a few years now and has gathered historical performance data that is indeed survivorship-bias free.
They can both allocate to cash via our HEDGE substrategy that picks from treasuries, gold, cash etc. https://logical-invest.com/app/strategy/hedge/hedge-strategy
You should be able to see all three Core portfolios including the Moderate one. If this persists I can reset you account but please use our form
https://logical-invest.com/app/help.phpMy strategy of choice is the Top3 strategy. As I am a bit conservative I often tend to err on the side of cash. On my more active account I use variations of the permanent portfolio, MYRS (using futures) and some non-LI shorter term strategies. I also trade crypto.
There are very valuable and correct points being made in this discussion. Let me try to show our point of view:
The main purpose of developing these strategies was to cut down on risk and protect accounts from large drawdowns. LI was really born out of the 2008 crisis. Outperforming the SP500 was never our intention. But as James mentioned if someones wants to outperform they are welcome to create a portfolio using LI tools and then leverage it up, taking advantage of lower drawdown limits.
We have 3 goals we try to achieve:
a. Diversify: From individual stocks to ETFs, from ETFs to strategies-of-ETFs and from strategies of ETFs to a portfolio-of-different-strategies. What we could call a level-3 diversification.
b. Limit risk: Cut down large drawdowns as to gain from long-term from growth. This means keep intelligent hedges that don’t cost money such as put options or (long) VIX ETFs and futures.
c. Make it simple: Make complex rules-based models ‘investable’ and not just theoretically possible. This is a big deal since we do have complex option and futures-based strategies that we can (and have) build. But it makes no sense unless someone can actually realistically trade it, for the long run. So we tried to make everything come down to a handful of ETFs that one has to buy/sell once a month.Other than that we do not pretend to be very smart (except Frank who is actually a really a smart trader) or to create alpha out of nowhere. There is nothing wrong in just holding DIA or QQQ or a 60/40 SPY/TLT. The problem is that investors with no rules end up being aggravated by emotions and end up losing even though markets go up (for the most part) in the long term. So we provide some rules to help.
You can see some actual historical returns by going back to our published end of year newsletters:
https://logical-invest.com/the-logical-invest-newsletter-for-january-2020/
https://logical-invest.com/the-logical-invest-mid-month-newsletter-for-january-2019/
https://logical-invest.com/the-logical-invest-monthly-newsletter-for-january-2018/
https://logical-invest.com/update-january-2017-401k-investments/
https://logical-invest.com/the-logical-invest-monthly-newsletter-for-january-2016/Since it is via PayPal, we can refund you the discount rather than blocking/re-subscribing. Please check your email.
Yes that is right. So yes, you could pick a portfolio and add/subtract strategies from it to create a custom one. You can then save it as “My Portfolio” and that should report aggregate allocations every month.
There is an upside and a downside to this design. The upside is that we give you the tools to build a portfolio according to your preference of risk/safety/mix or assets etc.
The downside is that it is more complicated and there is a bit of homework to do, at least in the beginning.@socoolme Hello!
We have all been burned before, namely in 2008. That’s why we build Logical-Invest in the first place.
We start with ETFs that represent a basket of stocks/bonds/commodities, etc: https://www.investopedia.com/terms/e/etf.asp
Sometimes we also use individual stocks.We then build a “model”, which we call a strategy, which is a set of rules on how to trade a specific basket of ETFs, ie when to buy and sell.
We then build portfolios by combining multiple strategies (which themselves combine ETfs, which themselves combine stocks, bonds,etc).
Once a month, we unwind all this to give you a list of what ETFs/stocks the portfolio holds each month.
Since these models are based on rules, we can backtest them to see how they did in the past. That does not mean they will do so in the future.
Lastly, we are not advisors and cannot give you personal advice based on your life circumstances. We develop and publish strategies and portfolios that can help you make better (or at least more diversified) decisions in your own investing.Welcome Bob,
Feel free to use the form at the bottom of the About Us page:
https://logical-invest.com/about/about-us/
or email us: info at logical-invest.comIt’s a challenge to pick an optimization period. Mark and Stefan are pointing you in the right direction. What I can add is this: Our most robust strategy, out-of-sample. has been the Universal Investment strategy (UIS). If you open UIS in QT and optimise different periods you always get fairly good results no matter how much you change lookback periods and other parameters. This is because the base strategy, the 60/40 portfolio, is robust on a fundamental level. So if you have some free time, an exercise is to run different optimisations on your strategy at 2 to 4 year lookback periods from different points in time. For example you could optimize from 2013-2016, write down the parameters and then see how they would perform from 2016-2018.
All the above refers to QuantTrader. For the online portfolio optimizer a lookback period should at minimum include a bad year (2015 or 2018) and a good one. Because the underlying strategies are being optimized themselves, there is an argument for not optimizing too much or too far back on a meta-strategy level. Some studies argue that equal weight portfolios perform better than most other combinations. There is nothing wrong in running the online optimizer, adjusting the weights towards equal-weight while still using common sense, i.e. putting less weight on risky ones. In other words optimisation on the meta-strategy level is not critical and could be subjectively corrected.
The strategies should rebalance once every month (except MYRS which is twice/month). No need to adjust weights. So one trade a month is all you have to do.
The backtester assumption is that trades happen on close price on the day before the 1st of the month (ie January 31st). This is slightly different than trading on the 1st but it is not a critical difference according to our tests.
It is possible to trade on the last day of the month using QuantTrader by downloading intraday data before the close and issuing signals at your own workstation/laptop. I suggest that you download and use our 30-day free trial of QuantTrader. You can then check exactly how our strategies work and even backtest instantly different rebalance days (+-1,2,3).
https://logical-invest.com/quanttrader-application/Hello Benjamin,
The my portfolio tool is not designed to track live intraday performance. There are tools out there that can do that much better than we could so we thought, let’s stick to what we know (strat.developement) rather than build another one.When you are viewing a portfolio in the portfolio library (or in any other page), you can go to the asterisk on the top right of the page and click it to “Set as my portfolio”. To combine strategies you need to use the portfolio builder.
You cannot combine multiple portfolios into one online. Here is a guide on how you could do it on your own using a spreadsheet:
https://logical-invest.com/create-portfolio-of-portfolios-portfolio-builder/No updates really although some clients have created their own strategy versions. The way we have solved this is 1. Got professional status so we can trade US ETFs. 2. We trade VIX futures and options, a strategy that we may soon open to investors via a managed IB account.
Based on backtests it is better to just enter the positions. If you are unsure you can also scale-in but both sides at the same time.
As for the price, you are covered for the period you subscribe to. If you choose the yearly, you will be protected from any price increases for the year.I see you have registered with us before. New pricing:
https://logical-invest.com/app/subscribe?newpricingHello Balraj,
In QuantTrader Lite you can see the backtests, the signals, etc but you cannot change parameters (lookback periods, etc) or create/combine strategies into new ones.
Another way to put it is that Lite is ‘read only’ and used to get LI strategy signals on your own time.
The full version, is ‘read-write’ and is quite powerful. It is what we use to create and tweak our strategies and meta-strategies. You can stress test the current strategies, create copies and tweak parameters and see instant backtests. You can combine strategies into portfolios or new strategies and issue signals for those.Hello jmont42,
As StefanM mentioned we highly recommend to at least try out QuantTrader for the free trial period. This will get you an inside look at how the portfolios are constructed.
You can then continue with your own custom strategy or just follow the Top 3 Strategies (MST3).
Since you have been through both major crises you probably know how it goes. You need to stay protected as no correction quite resembles the last one, but you also need to participate and not miss out on multi-year growth. We are currently running fairly conservative in our 2020 ‘settings’. To give you an idea, current allocations for MST3 are about 40% GSY (cash equivalent), 25% in different bond classes (not Treasuries) and less than 20% in equities.
Welcome and happy new year!Welcome!
As these are monthly strategies, is not critical to enter on the very first day of the month. Entering on the second or third day should be fine as it may result to slightly better or slightly worse results. If you do enter on the first day it’s best to avoid the opening as it gets crowded.Hello and welcome!
The Max DD 15% is a portfolio constructed from QT strategies but outside the software using standard max-return/ min-drawdown optimisation. Two ways to go about it:
1. If your brokerage fees are low you can jump in based on the October 1st allocations.
2. You can wait for the November allocation.
3. Or you can:
a. Find which strategies are used and at what percentage (ie, 30% BRS, 50% UIS, etc)
b. Run current allocations on each strategy inside QT and export the allocations in an spreadsheet.
c. Add the ‘weighted’ component allocations and calculate portfolio allocations.Our recommendation would be in the order written.
It is hard to map these last three ETFs to European ETFs. Even when European ETFs exist, they are quite illiquid.
Here is a good resource:
https://www.justetf.com
If you are European, depending on local taxation, it may be suffice to do the simple UIS strategy (SPY/TLT/GLD), given you may have no taxes using UCITS ETFs.Hello R.D.,
By deafult QuantTrader uses dividend adjusted returns, ie dividends are included in the returns. Both the Tiingo and EODHistorical data feeds use dividend adjusted returns. As for S.A., thanks for spreading the word!Take a look at the top3 strategy: https://logical-invest.com/app/strategy/mst3/top-3-strategies
It a bit more adaptive and has a shorter lookback period.The 3x UIS Leveraged strategy is an extremely risky strategy and should not be utilised by itself. It should make you uncomfortable to trade it. The model provides recommendations so if it sounds too risky or does not sense you should not follow it until you gain some faith in it.
That said, the model uses rules. According to those rules it thinks it’s best to go UGLD/SPXL rather TMF/SPXL which makes sense as gold had a better risk adjusted performance. The problem with UIS3x is that even it’s most balanced allocation, 50% TMF – 50% SPXL, is extremely risky unless used in a small account that can withstand -40%+ draw-downs.We backtest our strategies and create portfolios of strategies based on recent theoretical strategy performance. This article explains why we have to use backtested data vs historic to do that: https://logical-invest.com/backtested-data-vs-historical-data/
We do track strategy historical performance based on signals issued here: https://logical-invest.com/app/historical.php
Our portfolios will never achieve peak theoretical backtested performance although when writing this note MYRS historical performance (based on issued allocations) is at 32% and 3x UIS is at 44%. Our Dow strategy on the other hand lost -6% and our US market is at 1.5%. SPY is at 22%.Here is another article of how we strive to avoid overfitting and base our decisions on objective rules:
https://logical-invest.com/walk-forward-testing-avoid-curve-fitting-backtesting/We obviously cannot guarantee performances but we are transparent in our practices, strategies, parameters and logic of our strategies. How? We actually give you access to the software that builds the models.
What we offer is the tools to create portfolios based on multiple rules-based strategies. These strategies are based on clear logic and rules and have been backtested. We provide our QuantTrader software for you to test or modify the logic/parameters of the strategies we build. For $50/month you get access to rules-based investing, you get to test our or your own ideas and you get to create a diversified and hedged portfolio that may limit your risk vs stock picking or emotional based trading.
Hi Mark,
The Max DD 15% is optimized outside QuantTrader using standard optimization techniques, https://logical-invest.com/app/portfolio_optimizer
The settings are to maximize CAGR given a maxDD constrain choosing from any of our the strategies (no % limit on allocations).
If you wanted to create something closer to this in QT, you would use the SR algo, quarterly rebalance, a long lookback period (5 years +) and a volatility attenuator that historically keeps MaxDD under 15%.Hello Mark,
Thanks for sharing. We will load up the .ini and take a look. It is fine to post here until we create a dedicated place to share files.Taxes differ for everyone as we have subscribers from different countries. 401k/IRAs should be ok with rebalancing monthly. U.S. taxable accounts will be subject to short term capital gain taxes, so as Deshan mentioned you have to consider your own situation. Same with dividends, especially for non-US persons who may end up with a 30% tax on U.S. based dividends, thus affecting bond-heavy strategies such as the BRS. We cannot advise on an individual basis, as we are not registered to do so but we can help provide information on general cases.
Anthony,
You are not alone. My broker split FOXA to part DIS part CASH part FOXA at a different price. After this month’s signals we will take a look at the rational so we can compute a cost basis.Unfortunately, we do not support single strategy subscriptions any more. This was done so we freely develop and implement and make new strategies available to our Portfolios without the administrative overhead. We offer Core portfolios, All-strategies, QuantTrader subscriptions as well as a few free porfolios (PP, US Sector, BUG). https://logical-invest.com/app/subscribe
Derrick,
Since you have been with us you know our main strategies are changed/updated rarely. Maybe every few years. This past two months we have introduced 2 new strategies, and a new Hedge sub-strategy that affects all existing ones. When QT runs a backtest with the latest parameters, it just does that. Produces a backtest. So all allocations are based on the current parameters. So under the new Hedge strategy, N100 would have invested in TLT not UGLD. That does not mean that the signals issued at the time (UGLD) were wrong. It just means that we (and QT) are adapting to the markets and finding better solutions going forward. This happened in the past but was less pronounced. The actual signals and performances are here https://logical-invest.com/app/historical.php
Also see a better explanation here: https://logical-invest.com/backtested-data-vs-historical-data/
I hope this makes sense.Thank you, Howard. Marry Christmas to you!
Yes, we can do managed accounts for international (non-U.S.) clients.Howard,
Sorry about the delayed response. We now have some new core portfolios that may be of help.
These will use only ETFs, no single stocks:
https://logical-invest.com/app/strategy.php?symbol=Conservative401
https://logical-invest.com/app/strategy.php?symbol=Moderate401
https://logical-invest.com/app/strategy.php?symbol=Aggressive401What you may find to be a problem, though, is that they exclude N100 and the new Dow 30 strategy.
The only way to create and test a QLD+TMF (or QQQ + TLT, etc) is to use QuantTrader. You can easily try QT for a month free but you will need to put some time to go through the basic tutorial and learn how it all works.Dear Howard,
I had a similar problem when trying to incorporate the N100 strategy with other strategies for a smaller account. I would end up with too many ETF/Stocks since n100 by itself added 4 extra stocks. So I created a similar strategy using QLD and TMF. This came closer to the N100 performance albeit with increased risk.
In my case that was ok since I run this strategy in conjunction with other ones and I kept it capped it to a smaller percentage of the overall portfolio.
Of course it all comes down to what you are looking for, how you combine it with our other strategies and how much risk you can take.For you second question, you can play around with the optimizer tool but to create more precise strategies/portfolios with target risk/return profiles you may need to try QuantTrader.
In principal we avoid going long VXX as it is a long time looser (graph goes to zero). We actually base MYRS on this fact by investing in it’s almost opposite, ZIV. I did try VXX in UIS 3x and if you do not change the settings (DR algo and add VXX as last ETF) the software assumes VXX is the hedge (DR algorithm always includes allocation to the hedge) so it always includes it in the allocation. If you shift the algo to SR and use top 2 ETFs you will get different results.
Adding VXX was not a disaster. I would expect much worse. It actually helps in recent history. It would be interesting looking into it more. I also tried VXZ with not such good results.
Soon we will be able to include any reasonable custom strategy that you build (ie, 3xUIS_VXX) in our webapp. All we would need is a XXX_Strategy.ini file from you and we could track it on our online app.Instead of re-ticking the Max Allocation box, click on Max Allocation: Not defined. This will trigger a field just under the window with a blinking cursor. Type 50 and hit ‘Enter’. Let me know if this is what you were trying to do.
Thank you for letting us know. It’s fixed. The allocations remain the same as the last period but now you should be looking at 10/15/2018 as the new rebalancing day.
Look into your QuantTrader folder (where you run QuantTrader.exe from). There should be a new “Ranking Report strategyname.csv” file that was created when you hit the save as button.
Dear Richard,
Thank you for the constructive criticism. The changes to the strategies you mentioned were announced in the March newsletter (https://logical-invest.com/the-logical-invest-monthly-newsletter-for-march-2018/) that was sent out to all subscribers. This of course is far from optimal as many people will not read it and I, myself had trouble finding where we did document these changes 3 months later! We will look for a more visible place where to publish these “strategy updates”.
I will let Frank discuss the justifications for the strategy changes.Yes, I assumed it wasn’t that easy… :)
I tried loading intraday prices but cannot re-create the problem. I assume you have custom items? Can you send us the .ini so we can troubleshoot?Start up QT with default settings (using Tiingo EOD). Then go to the consolidated allocation tool and choose Intraday prices. Do you still get this error?
You can create a text file with the following format, name it _yourstockname.csv and add it to inside the QT folder.
Date,Open,High,Low,Close,Volume,Adj Close
2018-03-29,238.090,240.840,234.760,235.650,4671145.000,235.650
2018-03-28,244.080,246.930,235.600,236.680,4174405.000,236.680
2018-03-27,248.080,254.250,241.600,244.370,6309121.000,244.370
2018-03-26,247.670,248.830,240.510,247.730,4559848.000,247.730
2018-03-23,243.380,245.215,240.405,242.480,5845337.000,242.480
2018-03-22,242.030,246.720,241.500,243.570,4215848.000,243.570
2018-03-21,240.580,250.590,240.060,246.000,5439448.000,246.000
2018-03-20,245.100,248.050,241.280,242.360,6121449.000,240.648launching an Ec2 instance for the first time is no small task, especially with windows giving you all kinds of permission problems. Not sure why you cannot download QT. If you are using explorer you should download Firefox (you may need to change IE permissions) and use that browser instead. The easiest way to exchange files is through a Dropbox or google drive account. There maybe an issue installing QT on a new windows server. If you want, email me directly, maybe I can help.
The N100 backtests has survivorship bias. In other words we are backtesting on todays available list. To do a real survivorship-free test you need a far more complicate setup.
Our “live performance”, after 2015, on the other hand, is not backtested but rather based on real-time signals we have issued, so it is survivorship free.
We adjust the Nasdaq 100 list ourselves so don’t have to manually add or subtract companies.
