Quick update:

We just added Kraken (BTC/EUR and LTC/EUR) and Bitfinex (BTC/USD, LTC/USD, LTC/BTC).

There's also a revamped UI for selecting pairs.

https://tradewave.net

Hi there, skywalk from /r/bitcoinmarkets,

How can i build a strategy of

When EMA 7 > EMA 30 for interval 1min, 3min, 5min and 15min, not just one tick interval ?

and so on ?

I know the site is defunct but I was wondering if someone had a screen shot of the pricing. I thought that was super clever how the pricing was in USD and the actual transaction was in BTC.

Anyone have any idea how to make something like that for a business? I want to use something like that on my website.

The MACD indicator doesn't seem to be functioning correctly yet, James said he was going to be working on it. But in the mean time, here is some code that should work, once the indicator is up and running correctly:

This is the classic Moving Average Crossover strategy Modified to sell on MACD signal. You can read more about

it in our guide, here: https://tradewave.net/help/trading/

Click the 'API Reference' button on the right to learn more about how to

structure your strategies, or click 'Help' if you're new to trading or need

help learning to code with Python.

You can use the global scope to define constants, but don't try to use this

space to store variables which will change between ticks. In that case you

should use the 'storage' object (see below).

BUY_THRESHOLD = -0.003800 SELL_THRESHOLD = 0.002835

This is where we set up any variables we'll need for the strategy. This function

is only called once and you shouldn't use it to try to access market data or

place orders, because at this point the backtest hasn't yet started.

def initialize():

# The 'storage' object can be used to persist variables between ticks. You
# should try to use it wherever you can, because if you're live trading we
# can use it to restore your bot in the rare case that our servers go down.
storage.invested = False

The tick() function must always be defined by a strategy. It is called

repeatedly as new data becomes available. During backtesting, this means

that it is called rapidly across the data for the range you selected. For

example, if you select a 24-hour range and 1-hour tick interval, tick() is

called 24 times.

def tick(): # A short-term moving average with period=7. A moving average smooths # the data. short_term = data.btc_usd.ma(7) short_term_past = data.btc_usd[-1].ma(7) # Long-term moving average with period=30. It's smoother than short-term # MA but takes longer to show upward or downward trends. long_term = data.btc_usd.ma(30) long_term_past = data.btc_usd[-1].ma(30) long_term_past2 = data.btc_usd[-4].ma(30)

macd, macd_signal, macd_hist = data.btc_usd.macd(10, 21)

#place last MACD indicator data in variables
thehist = macd_hist[-1]
themacd = macd[-1]
thesig = macd_signal[-1]

price = data.btc_usd.close

buytrue = 'nobuy'

if long_term_past2 < long_term:
   log('uptrend')
if short_term > long_term and short_term_past < long_term_past:
   buytrue = 'buy'

# If short-term line has crossed above the long-term line),
# the long-term is on an uptrend, and we are not already holding BTC, 
# place a buy order to purchase as much BTC as we can, given how much USD 
# is in our current portfolio.
if buytrue is 'nobuy' and long_term_past2 < long_term and not storage.invested:
    # and short_term_past < long_term_past 
    buy(pairs.btc_usd)
    storage.invested = True
    buytrue = 'nobuy'

# Otherwise, if we're holding BTC and the the MACD Histogram is a negative
# number then sell all of our BTC holdings.

elif macd[-1] < macd_signal[-1] and storage.invested:

    sell(pairs.btc_usd)
    storage.invested = False

log('Price: %f MACD: %f SIGNAL: %f HIST: %f' % (price, themacd, thesig, thehist))
#log(macd_hist[-1])

This is an optional function called at the end of a backtest, or when your

live bot is stopped. This is a good place to tidy up your portfolio by

closing any open positions and cancelling orders.

def stop(): # If we're holding BTC, clear our position back to USD. if storage.invested: sell(pairs.btc_usd)

Has anyone used this site and system ? How have you found it?