Hi all,
My name is Nori and it's my first post in this forum.
I'm developing in the past months, a mechanical trading system based on Bill Williams's strategy (Trading Chaos, New Trading Dimensions etc.).
Recently I encountered few articles regarding simulating trading results in order to fine tune the money management strategy.
However , I would like to perform Price simulation and not only result simulation.
In order to accomplish this, I need the following data:
- What distribution type is representative for Forex ? (e.g. Normal, Log-Normal, etc.)
- How can I determine the distribution parameters (e.g. mean, stdev etc ) - perhaps by using historical daily data ?
- What other characteristics I need to simulate beside price , in order to have a more realistic scenario - for example: range, volatility etc.
- Does anybody know of a computerised tool that can be used for both writing a trading system and testing it using monte carlo simulation for simulating various Price scenarios ?
I'll appreciate any answers .
Regards,
Nori
My name is Nori and it's my first post in this forum.
I'm developing in the past months, a mechanical trading system based on Bill Williams's strategy (Trading Chaos, New Trading Dimensions etc.).
Recently I encountered few articles regarding simulating trading results in order to fine tune the money management strategy.
However , I would like to perform Price simulation and not only result simulation.
In order to accomplish this, I need the following data:
- What distribution type is representative for Forex ? (e.g. Normal, Log-Normal, etc.)
- How can I determine the distribution parameters (e.g. mean, stdev etc ) - perhaps by using historical daily data ?
- What other characteristics I need to simulate beside price , in order to have a more realistic scenario - for example: range, volatility etc.
- Does anybody know of a computerised tool that can be used for both writing a trading system and testing it using monte carlo simulation for simulating various Price scenarios ?
I'll appreciate any answers .
Regards,
Nori