working on backtesting

This commit is contained in:
Gert Wohlgemuth 2018-05-21 16:52:12 -07:00
parent b5d0c0ea6a
commit b4d6e2c289
6 changed files with 128 additions and 13 deletions

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@ -1,5 +1,10 @@
import logging
from freqtrade.arguments import Arguments
from freqtrade.configuration import Configuration
from freqtrade.optimize.backtesting import Backtesting
def backtest(event, context):
"""
this method is running on the AWS server
@ -11,8 +16,12 @@ def backtest(event, context):
:param event:
{
'strategy' : 'url handle where we can find the strategy'
'pair' : ' pair to backtest, BTC_ETH as example'
'timeframe' : 'how long should we backtest for, 0-100 as example for the last 100 ticks'
'stake_currency' : 'our desired stake currency'
'asset' : '[] asset we are interested in. If empy, we fill use a default list
'username' : user who's strategy should be evaluated
'name' : name of the strategy we want to evaluate
'exchange' : name of the exchange we should be using
}
:param context:
standard AWS context, so pleaes ignore for now!
@ -20,14 +29,77 @@ def backtest(event, context):
no return
"""
backtesting = Backtesting()
backtesting.start()
name = "TestStrategy"
user = "12345678"
stake_currency = "USDT"
asset = ["ETH", "BTC"]
exchange = "binance"
assets = list(map(lambda x: "{}/{}".format(x, stake_currency).upper(), asset))
configuration = {
"max_open_trades": 1,
"stake_currency": stake_currency,
"stake_amount": 0.001,
"fiat_display_currency": "USD",
"unfilledtimeout": 600,
"bid_strategy": {
"ask_last_balance": 0.0
},
"exchange": {
"name": "bittrex",
"enabled": True,
"key": "key",
"secret": "secret",
"pair_whitelist": assets
},
"telegram": {
"enabled": False,
"token": "token",
"chat_id": "0"
},
"initial_state": "running",
"datadir": ".",
"experimental": {
"use_sell_signal": True,
"sell_profit_only": True
},
"internals": {
"process_throttle_secs": 5
},
'realistic_simulation': True,
"loglevel": logging.DEBUG
}
print("generated configuration")
print(configuration)
print("initialized backtesting")
backtesting = Backtesting(configuration)
result = backtesting.start()
print("finished test")
print(result)
print("persist data in dynamo")
for index, row in result.iterrows():
item = {
"id": "{}.{}:{}".format(user, name, row['pair']),
"pair": row['pair'],
"profit": row['profit'],
"loss": row['loss'],
"duration": row['avg duration'],
"avg profit": row['avg profit %'],
"total profit": row['total profit {}'.format(stake_currency)]
}
print(item)
pass
def submit(event, context):
"""
this functions submits a new strategy to the backtesting queue
@ -37,3 +109,7 @@ def submit(event, context):
:return:
"""
pass
if __name__ == '__main__':
backtest({}, {})

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@ -186,3 +186,18 @@ def submit(event, context):
"statusCode": result['ResponseMetadata']['HTTPStatusCode'],
"body": json.dumps(result)
}
def submit_github(event, context):
"""
there has been a push to our github repository, so let's
update all the strategies.
The user account will be the provided secret
:param event:
:param context:
:return:
"""
print(event)

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@ -31,6 +31,7 @@ class Backtesting(object):
backtesting = Backtesting(config)
backtesting.start()
"""
def __init__(self, config: Dict[str, Any]) -> None:
self.config = config
self.analyze = None
@ -78,8 +79,12 @@ class Backtesting(object):
Generates and returns a text table for the given backtest data and the results dataframe
:return: pretty printed table with tabulate as str
"""
stake_currency = self.config.get('stake_currency')
floatfmt, headers, tabular_data = self.aggregate(data, results)
return tabulate(tabular_data, headers=headers, floatfmt=floatfmt)
def aggregate(self, data, results):
stake_currency = self.config.get('stake_currency')
floatfmt = ('s', 'd', '.2f', '.8f', '.1f')
tabular_data = []
headers = ['pair', 'buy count', 'avg profit %',
@ -95,7 +100,6 @@ class Backtesting(object):
len(result[result.profit_BTC > 0]),
len(result[result.profit_BTC < 0])
])
# Append Total
tabular_data.append([
'TOTAL',
@ -106,7 +110,7 @@ class Backtesting(object):
len(results[results.profit_BTC > 0]),
len(results[results.profit_BTC < 0])
])
return tabulate(tabular_data, headers=headers, floatfmt=floatfmt)
return floatfmt, headers, tabular_data
def _get_sell_trade_entry(
self, pair: str, buy_row: DataFrame,
@ -213,7 +217,7 @@ class Backtesting(object):
labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
return DataFrame.from_records(trades, columns=labels)
def start(self) -> None:
def start(self):
"""
Run a backtesting end-to-end
:return: None
@ -282,6 +286,10 @@ class Backtesting(object):
)
)
# return date for data storage
temp = self.aggregate(data, results)
return DataFrame(data=temp[2][:-1], columns=temp[1])
def setup_configuration(args: Namespace) -> Dict[str, Any]:
"""

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@ -3,5 +3,5 @@ import pytest
from freqtrade.aws.backtesting_lambda import backtest
def test_backtest(lambda_context):
def test_backtest():
backtest({}, {})

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@ -5,7 +5,7 @@ import freqtrade.aws.strategy as aws
def test_strategy(lambda_context):
"""
very uggly long test
very ugly long test
:param lambda_context:
:return:

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@ -162,7 +162,7 @@ functions:
handler: freqtrade/aws/strategy.submit
events:
- http:
path: submit
path: strategies/submit
method: post
cors: true
@ -170,6 +170,22 @@ functions:
topic: ${self:custom.snsTopic}
strategyTable: ${self:custom.strategyTable}
#submits a new strategy to the system
submit_github:
memorySize: 128
handler: freqtrade/aws/strategy.submit_github
events:
- http:
path: strategies/submit/github
method: post
cors: true
environment:
topic: ${self:custom.snsTopic}
strategyTable: ${self:custom.strategyTable}
#TODO
#backtests the strategy
backtest: