Topic: Cloud Based Automated Trading Service for Bitstamp/BTC-E/CEXIO/Kraken/Bitfinex - page 3. (Read 22371 times)
December 27, 2013, 11:38:30 AM
By the way, what about support for cryptsy?
December 27, 2013, 11:35:29 AM
Are there any other scripts that work with CEX trading other than the default EMA 10/21? I tried running backtests on some of the scripts posted in the contest but they all showed 10-20% losses on CEX. So far it seems like the default EMA 10/21 with 1hr is the only semi profitable one.
EMA definitely works because today my bot on CEX.IO made few bucks on account with a small deposit of 0.5 BTC.
Any new scripts thats working?
December 27, 2013, 05:02:14 AM
tried to register,
"We're sorry. New subscriptions are not available at this time."
"We're sorry. New subscriptions are not available at this time."
December 27, 2013, 02:19:37 AM
I have played with the balancerbot python script, as well as the Toblibot and Butterbot. And I must say, the one thing that Butterbot has that I would have expected cryptotrader to have is a very simple time offset. How soon can we expect this to be added? I just signed up, and I would love to stick around. But you guys really need to add a time offset -- something to random up the bots running on similar strategies. There's a pile-on effect happening due to there not being a time offset, and it's quite noticeable if you watch the corresponding depth tables. I realize there's a stand-alone client, and that will permit you to run on your own local time if you use it. But what about the web-based users? Most of them won't necessarily know how to install a VM or install from a GIT.
December 24, 2013, 10:11:16 AM
Thank you for the help.
However it still fails to open when the "if short > long and context.buy_price = 0" is included.
I can remove and context.buy_price = 0 and the buy is executed however than the buy_price does not seem to be held because a sale is executed at less than the buy_price.
try this. modify.However it still fails to open when the "if short > long and context.buy_price = 0" is included.
I can remove and context.buy_price = 0 and the buy is executed however than the buy_price does not seem to be held because a sale is executed at less than the buy_price.
Code:
###
###
# Initialization method called before a simulation starts.
# Context object holds script data and will be passed to 'handle' method.
init: (context)->
context.buyprice = 0
context.volumepos = 0
# This method is called for each tick
handle: (context, data)->
instrument = data.instruments[0]
btc_have = portfolio.positions[instrument.asset()].amount
fiat_have = portfolio.positions[instrument.curr()].amount
long = Math.round(instrument.ema(100)*1000)/1000
short = Math.round(instrument.ema(26)*1000)/1000
vol_buy = 0.01
vol_sell = btc_have
price = instrument.price
#debug 'price '+price+' long '+long+' short '+short+' buyprice '+context.buyprice
#debug 'volumepos '+context.volumepos
if price < long and price < short and context.volumepos <= 0
buy(instrument,vol_buy) #works up to here
context.buyprice = price #The sell fails by not selling the instrument over the (purchased) price
context.volumepos = vol_buy
if price > context.buyprice*1.01 and context.volumepos > 0
sell(instrument,vol_sell,price)
context.buy_price = 0
context.volumepos = 0
###
# Initialization method called before a simulation starts.
# Context object holds script data and will be passed to 'handle' method.
init: (context)->
context.buyprice = 0
context.volumepos = 0
# This method is called for each tick
handle: (context, data)->
instrument = data.instruments[0]
btc_have = portfolio.positions[instrument.asset()].amount
fiat_have = portfolio.positions[instrument.curr()].amount
long = Math.round(instrument.ema(100)*1000)/1000
short = Math.round(instrument.ema(26)*1000)/1000
vol_buy = 0.01
vol_sell = btc_have
price = instrument.price
#debug 'price '+price+' long '+long+' short '+short+' buyprice '+context.buyprice
#debug 'volumepos '+context.volumepos
if price < long and price < short and context.volumepos <= 0
buy(instrument,vol_buy) #works up to here
context.buyprice = price #The sell fails by not selling the instrument over the (purchased) price
context.volumepos = vol_buy
if price > context.buyprice*1.01 and context.volumepos > 0
sell(instrument,vol_sell,price)
context.buy_price = 0
context.volumepos = 0
December 24, 2013, 08:03:15 AM
Thank you for the help.
However it still fails to open when the "if short > long and context.buy_price = 0" is included.
I can remove and context.buy_price = 0 and the buy is executed however than the buy_price does not seem to be held because a sale is executed at less than the buy_price.
However it still fails to open when the "if short > long and context.buy_price = 0" is included.
I can remove and context.buy_price = 0 and the buy is executed however than the buy_price does not seem to be held because a sale is executed at less than the buy_price.
December 24, 2013, 04:22:55 AM
Code:
...
orderId = buy instrument # Spend all amount of cash for BTC
if orderId
# a buy was executed
context.buy_price = instrument.price
...
I am trying to do something similar and build on a simple script.orderId = buy instrument # Spend all amount of cash for BTC
if orderId
# a buy was executed
context.buy_price = instrument.price
...
However no matter what I do I can not keep the instrument.price stored.
#Simple buy and sell over price with EMA
init: (context)->
context.buy_price = 0
handle: (context, data)->
instrument = data.instruments[0]
short = instrument.ema(9)
long = instrument.ema(19)
plot
short: short
long: long
if short > long
buy instrument #works up to here
context.buy_price = instrument.price #The sell fails by not selling the instrument over the (purchased) price
else if context.buy_price > (instrument.price*1.01)
orderId = sell instrument
I assume it has to do with the iff statements, because I can get the sell to work but then the buy just buys as soon as the script starts.
Thanks for any ideas and help.
Right code. Need more checks. only for sample
Code:
#Simple buy and sell over price with EMA
init: (context)->
context.buy_price = 0
handle: (context, data)->
instrument = data.instruments[0]
short = instrument.ema(9)
long = instrument.ema(19)
plot
short: short
long: long
if short < long and context.buy_price = 0
#Open position
buy instrument #works up to here
context.buy_price = instrument.price #The sell fails by not selling the instrument over the (purchased) price
else
if context.buy_price > (instrument.price*1.01)
#Close position
sell instrument
context.buy_price = 0.
init: (context)->
context.buy_price = 0
handle: (context, data)->
instrument = data.instruments[0]
short = instrument.ema(9)
long = instrument.ema(19)
plot
short: short
long: long
if short < long and context.buy_price = 0
#Open position
buy instrument #works up to here
context.buy_price = instrument.price #The sell fails by not selling the instrument over the (purchased) price
else
if context.buy_price > (instrument.price*1.01)
#Close position
sell instrument
context.buy_price = 0.
December 23, 2013, 08:10:30 PM
Code:
...
orderId = buy instrument # Spend all amount of cash for BTC
if orderId
# a buy was executed
context.buy_price = instrument.price
...
I am trying to do something similar and build on a simple script.orderId = buy instrument # Spend all amount of cash for BTC
if orderId
# a buy was executed
context.buy_price = instrument.price
...
However no matter what I do I can not keep the instrument.price stored.
#Simple buy and sell over price with EMA
init: (context)->
context.buy_price = 0
handle: (context, data)->
instrument = data.instruments[0]
short = instrument.ema(9)
long = instrument.ema(19)
plot
short: short
long: long
if short > long
buy instrument #works up to here
context.buy_price = instrument.price #The sell fails by not selling the instrument over the (purchased) price
else if context.buy_price > (instrument.price*1.01)
orderId = sell instrument
I assume it has to do with the iff statements, because I can get the sell to work but then the buy just buys as soon as the script starts.
Thanks for any ideas and help.
December 14, 2013, 07:52:32 AM
same issue here. What does it mean?
At a guess, it seems to take a bit of time when initializing the api for the first use. Either that, or it's waiting for your bots schedule to kick in. Leave it alone for a day and hopefully it will clear up like it did for me.
December 13, 2013, 08:16:29 PM
What's the story with the never ending status circle?
same issue here. What does it mean?
December 10, 2013, 12:54:43 AM
Also, it would be nice if there was some sort of notification when my subscription expires instead of all my stuff just dropping offline!
Very upsetting.
Very upsetting.
December 09, 2013, 04:30:22 PM
What's the story with the never ending status circle?
December 04, 2013, 09:33:42 PM
If I developed a successful trading algorithm, what's stopping Cryptotrader.org from copying it and using it for themselves, at my expense?
December 02, 2013, 01:38:31 PM
I'm new to algo trading so need to ask a basic question that I have not seen an answer to on these threads or on the forum. I have not upgraded to live trading yet so cannot see the how to set that up. The API says the Handle event is called on each bar event. When are bar events for live trading? Are they set up the same as backtesting (i.e. user configurable) or are they for each movement in trading price on the exchange?
same as backtesting November 25, 2013, 03:42:30 AM
I'm new to algo trading so need to ask a basic question that I have not seen an answer to on these threads or on the forum. I have not upgraded to live trading yet so cannot see the how to set that up. The API says the Handle event is called on each bar event. When are bar events for live trading? Are they set up the same as backtesting (i.e. user configurable) or are they for each movement in trading price on the exchange?
November 23, 2013, 03:12:47 AM
Greetings!
Is there any way to create synthetic data (BTC candles created based-on a seed) in order to backtest and simulate trading strategies?
e.g. that way we could simulate something like 100 years of BTC prices generated by a seed that contains the prices of BTC since 2011 to nowadays.
BTW, great application. Very well done.
Keep up the great work!
Is there any way to create synthetic data (BTC candles created based-on a seed) in order to backtest and simulate trading strategies?
e.g. that way we could simulate something like 100 years of BTC prices generated by a seed that contains the prices of BTC since 2011 to nowadays.
BTW, great application. Very well done.
Keep up the great work!
Thanks for your feedback. Could you suggest some readings about the simulation method based on a seed?
=> Beyond Technical Analysis by Tushar Chande.
November 22, 2013, 06:17:11 PM
5 min. its a minimum interval between trades ?
Why not 1 min ?
Russian support thread ?
Why not 1 min ?
Russian support thread ?
1 min interval can be used for trading with MtGox.
May seem a silly question but I searched and searched the site and I found nothing.
How do I backtest my own algorithms? I can only test other people algos, can't find any way to make my own.
How do I backtest my own algorithms? I can only test other people algos, can't find any way to make my own.
https://cryptotrader.org/topics/727237/how-do-i-create-and-backtest-my-own-algorithms
November 22, 2013, 02:43:22 PM
May seem a silly question but I searched and searched the site and I found nothing.
How do I backtest my own algorithms? I can only test other people algos, can't find any way to make my own.
How do I backtest my own algorithms? I can only test other people algos, can't find any way to make my own.
November 21, 2013, 05:50:28 AM
5 min. its a minimum interval between trades ?
Why not 1 min ?
Russian support thread ?
Why not 1 min ?
Russian support thread ?
November 19, 2013, 06:16:04 PM
Awesome! Signed up today, created a trader. It was very easy! Thanks for this service 
Using a small amount for trading at first, lets see where this ride takes us!
https://Bitcoin-Cigarettes.com
Using a small amount for trading at first, lets see where this ride takes us!
https://Bitcoin-Cigarettes.com
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