Statistical Backtest Toolbox
by Benjamin Heelan
15 Nov 2012
(Updated 20 Nov 2012)
A Toolbox that allows the user to backtest trading strategies on the FTSE100.
|
Watch this File
|
| File Information |
| Description |
This toolbox allows the user to backtest trading strategies on the FTSE100.
Once strategy has been programmed in the following measures to evaluate the performance of the strategy.
- Annualised Return = geometric average of rate of return
during thetrading horizon
- Annualised Volatility = volatility of rate of return during
the trading horizon
- SR = risk adjusted rate of return (Sharpe Ratio) during
the trading horizon
- p_in = proportion of in the market periods to the whole
trading horizon
- NumOfTrades = number of executed trades during the trading
horizon
Each strategy is implemented using a Long only trading policy. This is used so strategy performance can be compared effectively with a benchmark buy & hold strategy. The benchmark is the FTSE100, bought on 1-Jan-2001, and held until 31-Dec-2010. This allows all strategies to be compared in terms of trading signals only.
Simple_Moving_Average_Algorithm.m offers a basic example, demonstrating implementation of a strategy and how performance is calculated.
Will be adding technical indicators in due course. |
| Required Products |
Financial Toolbox
|
| MATLAB release |
MATLAB 7.14 (R2012a)
|
|
Tags for This File
|
| Everyone's Tags |
|
| Tags I've Applied |
|
| Add New Tags |
Please login to tag files.
|
| Comments and Ratings (2) |
| 26 Nov 2012 |
Sayed
|
|
|
| 16 Nov 2012 |
jack
|
|
|
| Updates |
| 20 Nov 2012 |
Added graph screenshot |
|
Contact us