Show HN: Pytrader – trade cryoptocurrencies automatically with machine learning
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Re: Show HN: Pytrader – trade cryoptocurrencies automatically with machine learning
#2"My test portfolio was initialized with a 1 BTC deposit, and after 2 months and 23,413 trades, exited with 0.955 BTC. The system paid 2.486 BTC in fees to poloniex."
I wonder whether a different trading strategy would decrease the fee overhead. Or perhaps the cryptocurrency exchanges are not setup for short-run trading? I know very little about the exchanges, but this does seem curious to me.
Re: Show HN: Pytrader – trade cryoptocurrencies automatically with machine learning
#3There's going to be a problem with any Bitcoin-style currency once sophisticated algorithmic trading becomes widespread enough that compute time is always more profitably spent day-trading than mining.
Re: Show HN: Pytrader – trade cryoptocurrencies automatically with machine learning
#4"My test portfolio was initialized with a 1 BTC deposit, and after 2 months and 23,413 trades, exited with 0.955 BTC. The system paid 2.486 BTC in fees to poloniex." I wonder whether a different trading strategy would decrease the fee overhead. Or perhaps the cryptocurrency exchanges are not setup for short-run trading? I know very little about the exchanges, but this does seem curious to me.
> I wonder whether a different trading strategy would decrease the fee overhead. Or perhaps the cryptocurrency exchanges are not setup for short-run trading? I know very little about the exchanges, but this does seem curious to me.
OP here.
One could presumably increase the margin for a classifier such that, to classify a sequence of price movements as a BUY or SELL, the predicted movement must be higher than what it is now (0.002% increase/decrease threshold)
Re: Show HN: Pytrader – trade cryoptocurrencies automatically with machine learning
#5There's going to be a problem with any Bitcoin-style currency once sophisticated algorithmic trading becomes widespread enough that compute time is always more profitably spent day-trading than mining.
OP here.
I'd presume that someone who is better versed in wall-street style algorithmic trading could speculate better than i what a mature cryptocurrency trading market would look like.
I'm curious to see what a mature market in this space looks like. It'll surely be different on a currency-by-currency basis, because volume, market depth, and fundamentals matter greatly and are unique on a per-currency basis. Time will tell.
As to whether profitable automatic currency trading competes with mining for compute time, I posit the following question to you: Are the two mutually exclusive? In a world with (1) scalable compute power via AWS, Digital Ocean, etc, and (2) both are profitable, why not do both instead of one?
Re: Show HN: Pytrader – trade cryoptocurrencies automatically with machine learning
#6I can't imagine why anyone would actually want to release a profitable trader. Isn't this kind of a tautologically dumb thing to do?
Re: Show HN: Pytrader – trade cryoptocurrencies automatically with machine learning
#7I can't imagine why anyone would actually want to release a profitable trader. Isn't this kind of a tautologically dumb thing to do?
Read the readme. Trader is not profitable (yet). Unless if you don't include fees in profitability calculation, which is clearly not a calculation based in a real use case.
Re: Show HN: Pytrader – trade cryoptocurrencies automatically with machine learning
#8There's going to be a problem with any Bitcoin-style currency once sophisticated algorithmic trading becomes widespread enough that compute time is always more profitably spent day-trading than mining.
Bitcoin's automatically adjusting difficulty rate means that if fewer people are mining, then it becomes more profitable for them, which guides the system into an equilibrium.
Also, mining profitably requires special hardware built specifically for Bitcoin mining.
Re: Show HN: Pytrader – trade cryoptocurrencies automatically with machine learning
#9There's going to be a problem with any Bitcoin-style currency once sophisticated algorithmic trading becomes widespread enough that compute time is always more profitably spent day-trading than mining.
Bitcoin's automatically adjusting difficulty rate means that if fewer people are mining, then it becomes more profitable for them, which guides the system into an equilibrium. Also, mining profitably requires special hardware built specifically for Bitcoin mining.
> Also, mining profitably requires special hardware built specifically for Bitcoin mining.
For bitcoin yes, but there are proof of work cryptocurrency systems out there that use CPU. And there are proof of stake systems out there that neither cpu or gpu intensive.
For a lot of people, cryptocurrency = bitcoin. But there's a growing number of crypto enthusiasts who see crypto as an constellation of cryptocurrencies, each with their own unique attributes and fundamentals, that complement (as well as compete with) bitcoin.
Re: Show HN: Pytrader – trade cryoptocurrencies automatically with machine learning
#10I appreciate this.. but why do you do it with real money? Shouldn't be better to allow a "simulation mode" ?