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R project to parse trades, remove outliers, run Monte Carlo


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R project to parse trades, remove outliers, run Monte Carlo

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Big Mike's Avatar
 Big Mike 
Manta, Ecuador
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Swing Trader
 
Experience: Advanced
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Broker: IBKR
Trading: Stocks & Futures
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Hi guys,

I am looking for someone to code an R script that can take a CSV source file, parse trades, throw out outliers, and then run a Monte Carlo and graph the results.

I cannot wait for MSA to add this feature any longer, and I don't want to keep using EquityMonaco because it is just too slow (manual work) for my needs -- as I have to manually create Excel csv files for a dozen products per run, manually combine them into single file after sorting date/time of entry, then setup EM for each run, etc. It's not fun. I want to automate it.

For outliers, I would like a few options such as standard deviations as well as a percentage of 'best'/'worst', and ability to cut by winners and losers or only winners.

The graphs should include profit, drawdown, max win/loss run. These can just be saved out to filesystem as PNG files using a date scheme and source filename.

Build to handle 100,000 trades per run.

If you can handle this please contact me.

Mike



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  #2 (permalink)
 
Big Mike's Avatar
 Big Mike 
Manta, Ecuador
Site Administrator
Developer
Swing Trader
 
Experience: Advanced
Platform: Custom solution
Broker: IBKR
Trading: Stocks & Futures
Frequency: Every few days
Duration: Weeks
Posts: 50,465 since Jun 2009
Thanks Given: 33,242
Thanks Received: 101,665

This job is completed.

Mike



Join the free Markets Chat beta: one platform, all the trade rooms!

We're here to help: just ask the community or contact our Help Desk

Quick Links: Change your Username or Register as a Vendor
Searching for trading reviews? Review this list
Lifetime Elite Membership: Sign-up for only $149 USD
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Last Updated on November 15, 2013


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