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That is an interesting question. The best you can do is to find some systematic trading strategy, which is unrelated to the equity market. Why? Because the time when financial markets are in stress - aka they are in a bear market, is also the time of high volatility. A lot of algo trading...

We at Quantpedia often receive this type of question as our job is to dig through academic research and look out for interesting trading ideas. And our work helps to spread those ideas. Our answer would be the following: It is not so easy to arbitrage excess returns for market anomalies. Most...

I would recommend tickdatamarket, OneTick or tickdata Additionally, you can check Quantpedia’s list of historical data providers. There are many options you may choose from …

Feel free to check Quantpedia’s list of Books; there are various books aimed for complete beginners to pro programmers.

Check Quantpedia’s list of Books; there are various books aimed for complete beginners to pro programmers.

It’s not a book per se, but I can point you toQuantpedia - The Encyclopedia of Quantitative Trading Strategies. It’s a database of ideas for quantitative trading strategies derived out of the academic research papers (from research portals, financial journals, universities etc.), interesting...

You can checkout academic research; there are a lot of papers related to news trading, for example: Niu, Zilong and Zhang, Terry: Post Macroeconomic Announcement Reversal Brandt, Kishore, Santa-Clara, Venkatachalam: Earnings Announcements are Full of Surprises Papers related to Post-Earnings...

You can use price data, various types of macro data, seasonality, fundamental data, alternative data etc. etc. In the end, it's not so important. You will realize that you have more prospective alpha/information sources than is your account capacity and your research capacity. So in the end...

It’s not a book per se, but I can point you to Quantpedia - The Encyclopedia of Quantitative Trading Strategies. It’s a database of ideas for quantitative trading strategies derived out of the academic research papers (from research portals, financial journals, universities etc.), interesting...

It’s not a book per se, but you can check Quantpedia (online encyclopedia of quant&algo strategies), if you are looking for some reading materials ...

If you are looking for algo trading examples, then you can check QuantConnect's tutorial: https://www.quantconnect.com/tutorials/strategy-library Alternatively, you can check Quantpedia for strategies, which also have codes in QuantConnect framework...

Try to google something related to factor momentum: https://alphaarchitect.com/2019/06/03/is-factor-momentum-really-everywhere/ What does it mean? Research suggests that there is a short term continuation/momentum in a performance of strategies which had the best performance in the past. So if...

CheckQuantpedia’s list of historical data providers. There are a lot of options you may choose from …

It’s not a magazine per se, but I can point you to Quantpedia - The Encyclopedia of Quantitative Trading Strategies. It’s a database of ideas for quantitative trading strategies derived out of the academic research papers (from research portals, financial journals, universities etc.)...

newbie003: We have a short article dedicated to the topic of picking the right indicator's parameter. It can be interesting for you: How to choose the period for indicators

CheckQuantpedia’s list of historical data providers. There are a lot of options you may choose from …

You may checkQuantpedia’s list of available backtesting platforms. The most expensive platforms are usually for professionals (like Deltix, SmartQuant etc.). But cheaper options (like Amibroker, Tradestation, NinjaTrader, Quantconnect, Quantopian etc.) are usually sufficient for a retail trader …

CheckQuantpedia’s list of historical data providers. There are a lot of options you may choose from …

That’s an excellent question. The easy way to find them is to useHome :: SSRN and go for a keyword “algorithmic trading” or “quantitative trading”. But then you will see only a part of the picture because a lot of the very good papers from very top researchers don’t contain those two phrases...

You may checkQuantpedia’s list of available backtesting platforms. The most expensive platforms are usually for professionals (Bloomberg, Reuters etc.). They have a lot of data feeds, and you will not have a problem with portfolios with stocks from all over the world. But cheaper options (like...