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12 changed files with 110 additions and 24 deletions
+1 -1
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@@ -793,7 +793,7 @@ def ls(ctx):
)
@click.pass_context
def subscribe(ctx, dataset):
"""Subscribe to an exisiting dataset.
"""Subscribe to an existing dataset.
"""
marketplace = Marketplace()
marketplace.subscribe(dataset)
+3 -4
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@@ -25,8 +25,7 @@ AUTO_INGEST = False
AUTH_SERVER = 'https://data.enigma.co'
# TODO: switch to mainnet
ETH_REMOTE_NODE = 'https://ropsten.infura.io/'
ETH_REMOTE_NODE = 'https://rinkeby.infura.io/'
MARKETPLACE_CONTRACT = 'https://raw.githubusercontent.com/enigmampc/' \
'catalyst/master/catalyst/marketplace/' \
@@ -37,8 +36,8 @@ MARKETPLACE_CONTRACT_ABI = 'https://raw.githubusercontent.com/enigmampc/' \
'contract_marketplace_abi.json'
# TODO: switch to mainnet
ENIGMA_CONTRACT = 'https://raw.githubusercontent.com/enigmampc/catalyst/' \
'master/catalyst/marketplace/' \
ENIGMA_CONTRACT = 'https://raw.githubusercontent.com/enigmampc/' \
'catalyst/master/catalyst/marketplace/' \
'contract_enigma_address.txt'
ENIGMA_CONTRACT_ABI = 'https://raw.githubusercontent.com/enigmampc/' \
+1 -1
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@@ -26,7 +26,7 @@ def handle_data(context, data):
context.asset,
fields='price',
bar_count=20,
frequency='2H'
frequency='30T'
)
last_traded = prices.index[-1]
log.info('last candle date: {}'.format(last_traded))
+17 -3
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@@ -13,10 +13,12 @@ from catalyst.exchange.exchange_errors import MismatchingBaseCurrencies, \
PricingDataNotLoadedError, \
NoDataAvailableOnExchange, NoValueForField, \
NoCandlesReceivedFromExchange, \
InvalidHistoryFrequencyAlias, \
TickerNotFoundError, NotEnoughCashError
from catalyst.exchange.utils.datetime_utils import get_delta, \
get_periods_range, \
get_periods, get_start_dt, get_frequency
get_periods, get_start_dt, get_frequency, \
get_candles_number_from_minutes
from catalyst.exchange.utils.exchange_utils import get_exchange_symbols, \
resample_history_df, has_bundle, get_candles_df
from logbook import Logger
@@ -507,11 +509,20 @@ class Exchange:
frequency, data_frequency, supported_freqs=['T', 'D', 'H']
)
if unit == 'H':
raise InvalidHistoryFrequencyAlias(
freq=frequency)
# we want to avoid receiving empty candles
# so we request more than needed
# TODO: consider defining a const per asset
# and/or some retry mechanism (in each iteration request more data)
requested_bar_count = bar_count + 30
kExtra_minutes_candles = 150
requested_bar_count = bar_count + \
get_candles_number_from_minutes(unit,
candle_size,
kExtra_minutes_candles)
# The get_history method supports multiple asset
candles = self.get_candles(
freq=freq,
@@ -529,11 +540,14 @@ class Exchange:
asset=asset,
exchange=self.name)
# for avoiding unnecessary forward fill end_dt is taken back one second
forward_fill_till_dt = end_dt - timedelta(seconds=1)
series = get_candles_df(candles=candles,
field=field,
freq=frequency,
bar_count=requested_bar_count,
end_dt=end_dt)
end_dt=forward_fill_till_dt)
# TODO: consider how to approach this edge case
# delta_candle_size = candle_size * 60 if unit == 'H' else candle_size
+31
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@@ -1,4 +1,5 @@
import calendar
import math
import re
from datetime import datetime, timedelta, date
@@ -326,3 +327,33 @@ def from_ms_timestamp(ms):
def get_epoch():
return pd.to_datetime('1970-1-1', utc=True)
def get_candles_number_from_minutes(unit, candle_size, minutes):
"""
Get the number of bars needed for the given time interval
in minutes.
Notes
-----
Supports only "T", "D" and "H" units
Parameters
----------
unit: str
candle_size : int
minutes: int
Returns
-------
int
"""
if unit == "T":
res = (float(minutes) / candle_size)
elif unit == "H":
res = (minutes / 60.0) / candle_size
else: # unit == "D"
res = (minutes / 1440.0) / candle_size
return int(math.ceil(res))
@@ -1 +1 @@
0x7fAec9aaE31BE428DeAAE1be8195dF609079Fd10
0x39a54f480d922a58c963de8091a6c9afc69db2cf
File diff suppressed because one or more lines are too long
@@ -1 +1 @@
0x3985f5de8fddf2e8f7705cd360b498bf35ebfbc4
0xa2b37c6cd52f60fd4eb46ca59fafcf22d081aebc
+5 -12
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@@ -177,10 +177,12 @@ class Marketplace:
def check_transaction(self, tx_hash):
if 'ropsten' in ETH_REMOTE_NODE:
etherscan = 'https://ropsten.etherscan.io/tx/{}'.format(
tx_hash)
etherscan = 'https://ropsten.etherscan.io/tx/'
elif 'rinkeby' in ETH_REMOTE_NODE:
etherscan = 'https://rinkeby.etherscan.io/tx/'
else:
etherscan = 'https://etherscan.io/tx/{}'.format(tx_hash)
etherscan = 'https://etherscan.io/tx/'
etherscan = '{}{}'.format(etherscan, tx_hash)
print('\nYou can check the outcome of your transaction here:\n'
'{}\n\n'.format(etherscan))
@@ -329,9 +331,6 @@ class Marketplace:
'nonce': self.web3.eth.getTransactionCount(address)}
)
if 'ropsten' in ETH_REMOTE_NODE:
tx['gas'] = min(int(tx['gas'] * 1.5), 4700000)
signed_tx = self.sign_transaction(tx)
try:
tx_hash = '0x{}'.format(
@@ -371,9 +370,6 @@ class Marketplace:
'from': address,
'nonce': self.web3.eth.getTransactionCount(address)})
if 'ropsten' in ETH_REMOTE_NODE:
tx['gas'] = min(int(tx['gas'] * 1.5), 4700000)
signed_tx = self.sign_transaction(tx)
try:
@@ -701,9 +697,6 @@ class Marketplace:
'nonce': self.web3.eth.getTransactionCount(address)}
)
if 'ropsten' in ETH_REMOTE_NODE:
tx['gas'] = min(int(tx['gas'] * 1.5), 4700000)
signed_tx = self.sign_transaction(tx)
try:
@@ -88,5 +88,7 @@ def safely_reduce_dtype(ser): # pandas.Series or numpy.array
new_itemsize = np.min_scalar_type(val).itemsize
if mx < new_itemsize:
mx = new_itemsize
if orig_dtype == 'int':
mx = max(mx, 4)
new_dtype = orig_dtype + str(mx * 8)
return ser.astype(new_dtype)
+10
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@@ -314,6 +314,16 @@ Troubleshooting ``pip`` Install
$ sudo apt-get install python-dev
----
**Issue**:
Missing TA_Lib
**Solution**:
Follow `these instructions
<https://mrjbq7.github.io/ta-lib/install.html>`_ to install the TA_Lib Python wrapper
(and if needed, its underlying C library as well).
.. _pipenv:
Installing with ``pipenv``
+37
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@@ -2,6 +2,43 @@
Release Notes
=============
Version 0.5.4
^^^^^^^^^^^^^
**Release Date**: 2018-03-14
Build
~~~~~
- Switched Data Marketplace from Ropstein testnet to Rinkeby testnet after
incorporating changes resulting from the marketplace contract audit
- Several usability improvements of the Data Marketplace that make the
`--dataset` parameter optional. If it is not included in the command line,
will list available datasets, and let you choose interactively.
Bug Fixes
~~~~~~~~~
- Fix Binance requirement of symbol to be included in the cancelled order
:issue:`204`
- Fix `notenoughcasherror` when an open order is filled minutes later
:issue:`237`
- Properly handle of empty candles received from exchanges :issue:`236`
- Added a function to reduce open orders amount from calculated target/amount
for target orders :issue:`243`
- Fix missing file in live trading mode on date change :issue:`252`,
:issue:`253`
- Upgraded Data Marketplace to Web3==4.0.0b11, which was breaking some
functionality from prior version 4.0.0b7 :issue:`257`
- Always request more data to avoid empty bars and always give the exact bar
number :issue:`260`
Documentation
~~~~~~~~~~~~~
- PyCharm documentation :issue:`195`
- Added TA-Lib troubleshooting instructions
- Added instructions on how to create a Conda environment for Python 3.6, and
updated Visual C++ instructions for Windows and Python 3
- Linking example algorithms in the documentation to their sources
Version 0.5.3
^^^^^^^^^^^^^
**Release Date**: 2018-02-09