The process of evaluating a strategy, theory, or model by applying it to historical data.

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30
votes
2answers
3k 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 ...
36
votes
5answers
2k views

What are the key risks to the quantitative strategy development process?

Prompted in part by this question on data snooping, I would be interested to know: What are the key risks that should be considered when developing a quantitative strategy based on: (a) historical ...
35
votes
8answers
8k views

What broker/feed/APIsetup allows for recording the most accurate data (cheaply)?

I'm currently using IB's Java API and getting feeds through them. However the real-time feed is updated only every 250ms and the historical feed only every second. I'm primarily looking for ES data ...
24
votes
8answers
3k views

How to design a custom equity backtester?

I was thinking about writing my own backtester and I realize I have to make some assumptions. So I was hoping I could post what I am planning on doing and hopefully some of you can give me some ideas ...
32
votes
6answers
4k views

What are the popular methodologies to minimize data snooping?

Are there common procedures prior or posterior backtesting to ensure that a quantitative trading strategy has real predictive power and is not just one of the thing that has worked in the past by pure ...
11
votes
3answers
2k views

How to generate synthetic FX data for backtesting?

I want to generate synthetic forex data for the purpose of backtesting my trading algorithms. I have some rough ideas in mind on how to do this: Start with a curve representing a trend, then randomly ...
12
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 ...
9
votes
2answers
2k views

How to calculate the most realistic historical option prices with additional publicly available parameters

This is a follow up question of this one. My aim is to create the most realistic historical option prices possible with publicly available data. I want to do this for backtesting purposes. The ...
16
votes
3answers
4k views

Papers about backtesting option trading strategies

I am looking for all kinds of research concerning option trading strategies. With that I mean papers that publish results on different option trading strategies properly backtested with real-world ...
14
votes
6answers
13k views

Are there any good tools for back testing options strategies?

There are all kinds of tools for backtesting linear instruments (like stocks or stock indices). It is a completely different story when it comes to option strategies. Most of the tools used are ...
21
votes
3answers
3k views

Main backtesting & trading solutions: QuantFactory, Deltix, etc.

What are the most used/mature/promising commercial solutions today which handle backtesting/ automated trading needs? I'm talking about vertical product suites like QuantFactory or Deltix which ...
13
votes
3answers
1k views

How to account for transaction costs in a simulated market environment?

I am simulating a market for my trading system. I have no ask-bid prices in my dataset and use adjusted close for both buy and sell price. To account for this I plan to use a relative transaction cost....
5
votes
1answer
350 views

Backtesting on historical option data

I have downloaded some daily historical option data for a timespan of 10 years and want to perform trading backtests with them. Data are European index options, on ODAX. My question is about realistic ...
4
votes
1answer
1k views

What latency should I use for backtesting a high-frequency strategy?

We're developing an HFT strategy for highly liquid futures traded at Eurex. We are planning to colocate our server and to use data feed of QuantHouse and execution API of ObjectTrading. Backtesting is ...
4
votes
2answers
195 views

Back-testing Value at Risk with a WML investment strategy

I'm currently taking a course in Financial Econometrics and there is a question in the lecture notes regarding back-testing of VaR which I'm have difficulty with. First of all the procedure for back-...
3
votes
2answers
1k views

backtesting options strategies in R

I would like to backtest an options strategy in R. I require the ability to delta hedge and rebalance to options in the portfolio at different frequencies (daily, monthly,etc.) What packages are the ...
1
vote
1answer
320 views

Is there a good backtesting package in R?

My model exports a vector that have for each day b-buy s-sell or h- hold it's look like this: sig [1] b b s s b b b s s b s b s s b s b s s s s b b s s b b b b b b s b b b b b b b I want to ...
3
votes
0answers
391 views

VaR backtesting with overlapping time intervals

Of course the issue here is dependence: can it be removed or accounted for (in independence tests too, which of course would be troublesome)? There's a lot of literature on regression in this setting, ...
-2
votes
2answers
643 views

How to get/estimate ask/bid price for backtesting for OHLC data? [closed]

As you know, most of the EOD data available have only OHLC price. I used to do back-testing using the Close price as both bid and ask. however, in real world, the bid and ask spread is huge and the ...