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https://github.com/wassname/catalyst.git
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BLD: cleanup in algos and unit tests
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@@ -1,173 +0,0 @@
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import talib
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from logbook import Logger
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import pandas as pd
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from catalyst.api import (
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order,
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order_target_percent,
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symbol,
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record,
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get_open_orders,
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)
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from catalyst.exchange.stats_utils import get_pretty_stats
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from catalyst.utils.run_algo import run_algorithm
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algo_namespace = 'buy_low_sell_high_neo'
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log = Logger(algo_namespace)
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def initialize(context):
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log.info('initializing algo')
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context.asset = symbol('neo_btc', 'bitfinex')
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context.TARGET_POSITIONS = 50000
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context.PROFIT_TARGET = 0.1
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context.SLIPPAGE_ALLOWED = 0.02
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context.retry_check_open_orders = 10
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context.retry_update_portfolio = 10
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context.retry_order = 5
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context.errors = []
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pass
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def _handle_data(context, data):
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price = data.current(context.asset, 'close')
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log.info('got price {price}'.format(price=price))
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if price is None:
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log.warn('no pricing data')
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return
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prices = data.history(
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context.asset,
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fields='price',
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bar_count=1,
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frequency='1m'
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)
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rsi = talib.RSI(prices.values, timeperiod=14)[-1]
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log.info('got rsi: {}'.format(rsi))
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# Buying more when RSI is low, this should lower our cost basis
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if rsi <= 30:
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buy_increment = 1
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elif rsi <= 40:
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buy_increment = 0.5
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elif rsi <= 70:
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buy_increment = 0.1
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else:
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buy_increment = None
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cash = context.portfolio.cash
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log.info('base currency available: {cash}'.format(cash=cash))
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record(price=price)
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orders = get_open_orders(context.asset)
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if len(orders) > 0:
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log.info('skipping bar until all open orders execute')
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return
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is_buy = False
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cost_basis = None
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if context.asset in context.portfolio.positions:
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position = context.portfolio.positions[context.asset]
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cost_basis = position.cost_basis
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log.info(
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'found {amount} positions with cost basis {cost_basis}'.format(
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amount=position.amount,
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cost_basis=cost_basis
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)
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)
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if position.amount >= context.TARGET_POSITIONS:
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log.info('reached positions target: {}'.format(position.amount))
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return
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if price < cost_basis:
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is_buy = True
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elif position.amount > 0 and \
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price > cost_basis * (1 + context.PROFIT_TARGET):
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profit = (price * position.amount) - (cost_basis * position.amount)
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log.info('closing position, taking profit: {}'.format(profit))
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order_target_percent(
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asset=context.asset,
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target=0,
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limit_price=price * (1 - context.SLIPPAGE_ALLOWED),
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)
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else:
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log.info('no buy or sell opportunity found')
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else:
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is_buy = True
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if is_buy:
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if buy_increment is None:
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return
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if price * buy_increment > cash:
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log.info('not enough base currency to consider buying')
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return
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log.info(
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'buying position cheaper than cost basis {} < {}'.format(
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price,
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cost_basis
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)
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)
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limit_price = price * (1 + context.SLIPPAGE_ALLOWED)
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order(
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asset=context.asset,
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amount=buy_increment,
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limit_price=limit_price
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)
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pass
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def handle_data(context, data):
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log.info('handling bar {}'.format(data.current_dt))
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# try:
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_handle_data(context, data)
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# except Exception as e:
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# log.warn('aborting the bar on error {}'.format(e))
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# context.errors.append(e)
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log.info('completed bar {}, total execution errors {}'.format(
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data.current_dt,
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len(context.errors)
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))
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if len(context.errors) > 0:
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log.info('the errors:\n{}'.format(context.errors))
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def analyze(context, stats):
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log.info('the daily stats:\n{}'.format(get_pretty_stats(stats)))
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pass
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# run_algorithm(
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# initialize=initialize,
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# handle_data=handle_data,
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# analyze=analyze,
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# exchange_name='bitfinex',
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# live=True,
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# algo_namespace=algo_namespace,
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# base_currency='btc',
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# live_graph=False
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# )
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# Backtest
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run_algorithm(
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capital_base=250,
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data_frequency='minute',
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initialize=initialize,
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handle_data=handle_data,
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analyze=analyze,
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exchange_name='bitfinex',
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algo_namespace=algo_namespace,
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base_currency='btc'
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)
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@@ -31,7 +31,7 @@ def handle_data(context, data):
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run_algorithm(
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capital_base=250,
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start=pd.to_datetime('2016-1-1', utc=True),
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start=pd.to_datetime('2016-6-1', utc=True),
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end=pd.to_datetime('2016-12-31', utc=True),
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data_frequency='daily',
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initialize=initialize,
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@@ -437,7 +437,7 @@ class ExchangeBundle:
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if end is None or start is None or start >= end:
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raise NoDataAvailableOnExchange(
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exchange=[asset.exchange.name for asset in assets],
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exchange=[asset.exchange for asset in assets],
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symbol=[asset.symbol for asset in assets],
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data_frequency=data_frequency,
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)
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@@ -2,6 +2,15 @@
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Release Notes
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=============
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Version 0.3.5
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^^^^^^^^^^^^^
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**Release Date**: 2017-11-2
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Bug Fixes
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~~~~~~~~~
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- Added workaround for: KeyError: Timestamp error (:issue:`53`)
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Version 0.3.4
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^^^^^^^^^^^^^
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**Release Date**: 2017-11-2
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@@ -442,7 +442,7 @@ class TestExchangeBundle:
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data_frequency = 'minute'
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exchange = get_exchange(exchange_name)
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asset = exchange.get_asset('eth_btc')
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asset = exchange.get_asset('neo_usd')
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self._bundle_to_csv(
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asset=asset,
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@@ -456,8 +456,8 @@ class TestExchangeBundle:
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def bundle_to_csv(self):
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exchange_name = 'bitfinex'
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data_frequency = 'minute'
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period = '2017-06'
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symbol = 'etc_btc'
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period = '2017-10'
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symbol = 'neo_btc'
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exchange = get_exchange(exchange_name)
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asset = exchange.get_asset(symbol)
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@@ -475,6 +475,7 @@ class TestExchangeBundle:
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path=path,
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filename=period
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)
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pass
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def _bundle_to_csv(self, asset, exchange, data_frequency, filename,
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path=None):
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