Fully automated futures trading

You have the backtest for a Sharpe 4 strategy?

Actually, the backtests are currently coming out with a Sharpe of 8, so I'm inclined to think there's something wrong with them. It's quite challenging to backtest market making though. I've got a naive simulation (similar to what I did for futures/trend following). I'll try to build a more elaborate simulation using this https://github.com/paritytrading/parity , and try and simulate latency.
 
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However, if I were to take quotes on Jan 08 2018, Feb is the month that seems to be the best for trading. Can someone enlighten me as to why we should be in APR gold?

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Because it is what is traded.

"Trading is conducted for delivery during the current calendar month; the next two calendar months; any February, April, August, and October falling within a 23-month period..."

It is where your volume is, and where it will be.
 
You're gonna be RICH! Can I have an autograph?

Hahaha I hope so! But I really think the backtests are flawed, or otherwise, a lot of the overall uptrend of crypto is leaking into the results.

On an aside note though, for anyone holding Palladium futures, it's been a great week!
 
Hahaha I hope so! But I really think the backtests are flawed, or otherwise, a lot of the overall uptrend of crypto is leaking into the results.
In general, whenever trading delta-one products that have/had a very skewed distribution or a strong drift, you might want to break your trades into initiated buys and sells, with separate statistics.
 
Hey guys,

how can i find a subset of instruments to trade based on minimising instrument correlation without using brute force optimization technique? Say there are 45 instruments in database and I want to pick N.
Right now I'm thinking a clustering algo based on correlation
 
Hey guys,

how can i find a subset of instruments to trade based on minimising instrument correlation without using brute force optimization technique? Say there are 45 instruments in database and I want to pick N.
That, my friend, is an "maximum edge weight clique problem" and it's pretty darn hard to solve. There are alignment-style algorithms that approximate the solution, though.
 
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