Quantitative trading strategies use quantitative signals and a set of predefined systematic rules to make trading decisions. Strategies operate within parameters based on historical analysis (backtesting) and real world market studies (forward testing). Strategies may be executed manually (by a ...

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15
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6answers
2k views

Can social media be applied to algorithmic trading?

Can social media sites, like Twitter, be used to analyze financial markets for algorithmic trading? How much research has been done on this topic?
5
votes
5answers
2k views

What are the advantages of switching platforms/languages between strategy development and implementation?

I am interested in coding a medium frequency (trading over minutes to hours, holding for days to weeks) quantitative trading strategy and trading it with Interactive Brokers. I have seen many people ...
9
votes
1answer
920 views

How to use macroeconomic indicators for long/short trading strategies?

I am trying to understand how to use macroeconomic data in my trading. I understand that using such data could be used to gauge an overall view of the market and how it's doing as a whole. I have been ...
7
votes
2answers
634 views

What quantitative strategies were successful through the 2008 crisis?

Obviously, strategies like "short everything" did well during this period, but getting the future right is one thing and having a robust strategy is another. In particular, many quantitative ...
6
votes
4answers
967 views

How to properly evaluate backtest returns?

Do you evaluate a strategy in a backtest based on the cumulative returns generated by the strategy (i.e. looking at the cumulative returns of the trades that occur) or do you start with a certain ...
8
votes
1answer
1k views

How to apply the Kelly criterion when expected return may be negative?

My concern is how to handle a negative value for the Kelly formula. Even when you have a system that has positive expectancy, you can (and usually will) sustain a number of losses, sometimes ...
4
votes
3answers
2k views

How to compute the alpha decay of a strategy?

How can one compute the alpha decay of a systematic trading strategy?
11
votes
3answers
3k views

How to combine multiple trading algorithms?

Is it possible to combine different algorithms so as to improve trading performance? In particular, I have read that social media sentiment tracking, digital signal processing and neural networks all ...
16
votes
4answers
2k views

Evaluating automated trading strategies: accepted practice

Both for private projects, and for clients, I've been working on code a lot this year to evaluate automated trading strategies. This often ends up turning into the task of how to fairly compare apples ...
5
votes
5answers
2k views

How many explanatory variables is too many?

When researching any sort of predictive model, whether using ordinary linear regression or more sophisticated methods such as neural networks or classification and regression trees, there seems to ...
19
votes
4answers
3k views

Any research on how natural language processing can be used to forecast stocks?

Is there any published research of decent quality linking news or unstructured information to asset returns? I know that Thomson Reuters offers its Machine Readable news (MRN), so somebody must use ...
8
votes
1answer
1k views

What is the average Sharpe ratio of volatility arbitrage funds?

Where can I get data on performance metrics for volatility arbitrage funds? I am trying to compare the Sharpe ratio of my strategy to those of the major players.
8
votes
2answers
564 views

What is a reasonable upper bound on the performance of a daily trading strategy?

I am backtesting an equity trading strategy which trades only once per day. Is there a general rule of thumb for the reasonable upper bound on the rate of return of such a strategy? For example, a ...
11
votes
2answers
1k views

How to build a regime-switching model which knows its own limits?

In recent months I've come to the conclusion that there are not only certain regimes in the markets (like bear or bull) but phases where all models fail because we are in uncharted territory. The ...
9
votes
3answers
2k views

What is the ideal ratio of in-sample length to out-of-sample length?

Suppose you are running a portfolio of quantitative strategies and that you develop a new potential strategy to be added to the mix. Assume for simplicity that the new strategy is independent of the ...
6
votes
1answer
469 views

Are shorter holding period strategies better?

Consider two statistically identical strategies (identical information ratios, sample size, ratio of transaction costs to total profit, etc.) except that one has a much shorter average holding period. ...
20
votes
2answers
2k views

How much data is needed to validate a short-horizon trading strategy?

Suppose one has an idea for a short-horizon trading strategy, which we will define as having an average holding period of under 1 week and a required latency between signal calculation and execution ...
8
votes
4answers
692 views

What are the risk factors in analysing strategies?

What do you think of strategies displayed on timelyportfolio.blogspot.com? I really like the fact that there is some code to reproduce the strategies, but they seem very elementary because he does ...
9
votes
2answers
2k views

How can I learn about the quantitative aspects of market making in illiquid single stock options?

I would like to learn more about the possible ways of doing quantitative research regarding option market making. In particular, while the mainstream index option market may be very liquid, the ...
0
votes
1answer
208 views

What would be the impact of the US Credit Rating downgrade on Crude Oil Prices? [closed]

From a modeling point of view, here are my primary assumptions for Monday: a) I would expect the US$ to depreciate and crude oil to rise in the long term. b) Expect crude oil to dip in the short run ...
11
votes
2answers
534 views

Transparent quant products with real track record

A real track record is better than backtesting! I am looking for products, funds, certificates, indices etc. that are based on quantitative trading strategies where the strategies and performance ...