FAQ Automated Trading Magazine
What’s the difference between the monthly and the yearly subscription?
What time frames are the strategies covering?
What kind of strategies are included in your research?
Which coding languages do you use for backtesting your ideas?
Do you offer code for quantconnect?
Is your publication worth the money?
Is this publication for me and vice versa?
Do you offer any support?
Can I write an article for your blog or publication?
Do you offer historical data?
How do you I get started with algorithmic trading?
What forms of payment do you accept?
How do I change my password and/or e-mail address?
How do I find out when my subscription ends?
How can I get support?
– What’s the difference between the monthly and the yearly subscription?
The monthly subscription gives you access to our current month issue and future issues as long as you have an active subscription. You can also download each publication as a pdf file to your computer.
As a monthly subscriber, you can cancel your membership with prior to the 1st of the next seasonal month to prevent your subscription from renewing.
The yearly subscription gives you full access to monthly issues, all issues that we have published so far (since 2020) downloadable as pdf, optimized trading strategies with code and historical intraday/end-of-day data going back to 1950.
An annual subscription is an upfront commitment and is nonrefundable. Unless canceled, your annual subscription will automatically renew each year.
– What time frames are the strategies covering?
Our research covers long term investing strategies that cover less frequent rebalancing and can be traded manually. We backtest long term asset allocation for example the Meb Faber model and other trend following models.
Our mid term strategy research covers trades that last for up to several days or sometimes weeks before exiting the position. An example of such a strategy is the use of mean standard deviation bands.
Short term strategies that we include in our magazine are automated intraday strategies. We come up with all sort of ideas whether we backtest a pairs trading strategy or some momentum analyzing volume patterns.
– What kind of strategies are included in your research?
The list is long and we always strive to come up with some new and unique idea. Here is a list of some of the strategies that we have backtested so far:
- Seasonality Trading
- Volume Effect
- Volatility Trading
- Trend Following
- Pairs Trading
- Sentiment Analysis
- Machine Learning
- Crypto Trading
- Spread Trades
- Mean Reversion
- Sector Rotation
– Which coding languages do you use for backtesting your ideas?
We use Python, R and EasyLanguage.
Python is a high-level programming language that is more deployed in machine learning and for automation of trading systems. Python has got exclusive library functions that facilitate ease of coding the algorithmic trading strategies.
R is a language of choice for many data scientists and statisticians at every level. It has a large and rapidly growing community and more than 10,000 contributed packages as of the time of writing. Packages include software suites for data management, machine learning, graphics and plotting, and much more. Installing a new package takes a few seconds and opens up a ton of capabilities within R. If a trader wants to experiment he is not required to have prior experience with R and it is generally speaking easier to learn then python. Here is an interesting article that can get you going quickly.
EasyLanguage is a proprietary programming language that was developed by TradeStation and built into its electronic trading platform. It is used to create custom indicators for financial charts and also to create algorithmic trading strategies for the markets. External DLL’s can be referenced using EasyLanguage which greatly extends its functionality. It can be described as the swiss army knife for backtesting. However, if you want to become more serious testing asset allocation models and working with very large data sets then there will be no way around Python.
– Do you offer code for quantconnect?
The short answer, yes.
– Do you offer historical data?
Yes, we do. We offer over 80GB of end-of-day and intraday data for Futures, Crypto, International Stocks, US Stocks, Currencies, ETFs and Indices for free. If this is not enough, here is a vendor list you can choose from for even more data.
– Is this publication for me and vice versa?
Take us for a test drive and read our sample issues. Sign up for our newsletter and read our blog posts. Browse through a ton of free resources we are offering to make your journey easier in designing an alpha generating trading system .
When you’re ready, we’ll welcome you with open arms into the select circle of subscribers. To say no one in the financial publishing industry is working harder to educate and empower active traders would be an overstatement. However, we definitely say that we are working very hard to deliver you the content you can benefit the most from. At the end of the day we all pursue the same goal: generate alpha with our strategy. Our research aims to bring you one big step closer to this goal.
– How do I get started with algorithmic trading?
We highly recommend to work your way through our reading list. Master the theoretical background and get some valuable input from research papers and books. Hone your knowledge on statistics and money management.
Next you learn a programming language or another tool that can help you backtest your ideas. You should start learning Python as this programming language is the most popular one among the quant community with plenty of resources.
Finally, stay focused. If you have an idea stick to it and run extensive tests before reaching to a conclusion. Disassemble the market of interest into all its individual parts until you fully understand what is going on and what might influence the price of the security.
– Do you offer any support?
Yes! It is something that sets us apart from all other publications. We are here for you 24/7.
– Can I write an article for your blog or publication?
Yes, we are open to both options. Contact us for more details. Our best writers even get compensated for their research. More on it here.
– Is your publication worth the money?
Years of experience are distilled into our publication of carefully crafted and well-tested tutorials. They are a bargain for someone looking to rapidly build skills in the field of algorithmic trading. The ideas, code and research included in our subscription will definitely give you the input in the right direction.
– What forms of payment do you accept?
We use Stripe for Credit Card and PayPal services to support secure and encrypted payment processing on our website.
We accept bank issued debit and credit cards: Visa, MasterCard, American Express, Discover, JCB, and Diners Club.
– How do I change my password and e-mail address?
There is an option to change your password and or e-mail address in your account settings.
– How do I find out when my subscription ends?
Within you client portal you can check the current status of your subscription.
– How can I get support?
The support email is send to you when signing up for an account. If you forget it contact us directly via the contact form.