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8
README.md
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@ -34,13 +34,15 @@ hesitate to read the source code and understand the mechanism of this bot.
- [x] **Dry-run**: Run the bot without playing money.
- [x] **Backtesting**: Run a simulation of your buy/sell strategy.
- [x] **Strategy Optimization by machine learning**: Use machine learning to optimize your buy/sell strategy parameters with real exchange data.
- [x] **Whitelist crypto-currencies**: Select which crypto-currency you want to trade.
- [x] **Edge position sizing** Calculate your win rate, risk reward ratio, the best stoploss and adjust your position size before taking a position for each specific market. [Learn more](https://github.com/freqtrade/freqtrade/blob/develop/docs/edge.md)
- [x] **Whitelist crypto-currencies**: Select which crypto-currency you want to trade or use dynamic whitelists.
- [x] **Blacklist crypto-currencies**: Select which crypto-currency you want to avoid.
- [x] **Manageable via Telegram**: Manage the bot with Telegram
- [x] **Display profit/loss in fiat**: Display your profit/loss in 33 fiat.
- [x] **Daily summary of profit/loss**: Provide a daily summary of your profit/loss.
- [x] **Performance status report**: Provide a performance status of your current trades.
## Table of Contents
- [Quick start](#quick-start)
@ -51,6 +53,7 @@ hesitate to read the source code and understand the mechanism of this bot.
- [Backtesting](https://github.com/freqtrade/freqtrade/blob/develop/docs/backtesting.md)
- [Hyperopt](https://github.com/freqtrade/freqtrade/blob/develop/docs/hyperopt.md)
- [Sandbox Testing](https://github.com/freqtrade/freqtrade/blob/develop/docs/sandbox-testing.md)
- [Edge](https://github.com/freqtrade/freqtrade/blob/develop/docs/edge.md)
- [Basic Usage](#basic-usage)
- [Bot commands](#bot-commands)
- [Telegram RPC commands](#telegram-rpc-commands)
@ -62,7 +65,8 @@ hesitate to read the source code and understand the mechanism of this bot.
- [Requirements](#requirements)
- [Min hardware required](#min-hardware-required)
- [Software requirements](#software-requirements)
- [Wanna help?]
- [Wanna help?](https://github.com/freqtrade/freqtrade/blob/develop/CONTRIBUTING.md)
- [Dev - getting started](https://github.com/freqtrade/freqtrade/blob/develop/docs/developer.md) (WIP)
## Quick start

2
docs/bot-usage.md
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@ -240,6 +240,8 @@ optional arguments:
--stoplosses=-0.01,-0.1,-0.001
```
To understand edge and how to read the results, please read the [edge documentation](edge.md).
## A parameter missing in the configuration?
All parameters for `main.py`, `backtesting`, `hyperopt` are referenced

2
docs/configuration.md
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@ -39,7 +39,7 @@ The table below will list all configuration parameters.
| `ask_strategy.use_order_book` | false | No | Allows selling of open traded pair using the rates in Order Book Asks.
| `ask_strategy.order_book_min` | 0 | No | Bot will scan from the top min to max Order Book Asks searching for a profitable rate.
| `ask_strategy.order_book_max` | 0 | No | Bot will scan from the top min to max Order Book Asks searching for a profitable rate.
| `order_types` | None | No | Configure order-types depending on the action (`"buy"`, `"sell"`, `"stoploss"`, `"stoploss_on_exchange"`).
| `order_types` | None | No | Configure order-types depending on the action (`"buy"`, `"sell"`, `"stoploss"`, `"stoploss_on_exchange"`). [More information below](#understand-order_types).
| `order_time_in_force` | None | No | Configure time in force for buy and sell orders. [More information below](#understand-order_time_in_force).
| `exchange.name` | bittrex | Yes | Name of the exchange class to use. [List below](#user-content-what-values-for-exchangename).
| `exchange.key` | key | No | API key to use for the exchange. Only required when you are in production mode.

2
docs/index.md
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@ -26,7 +26,7 @@ Pull-request. Do not hesitate to reach us on
- [Change your strategy](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md#change-your-strategy)
- [Add more Indicator](https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md#add-more-indicator)
- [Test your strategy with Backtesting](https://github.com/freqtrade/freqtrade/blob/develop/docs/backtesting.md)
- [Edge positioning](https://github.com/freqtrade/freqtrade/blob/money_mgt/docs/edge.md)
- [Edge positioning](https://github.com/freqtrade/freqtrade/blob/develop/docs/edge.md)
- [Find optimal parameters with Hyperopt](https://github.com/freqtrade/freqtrade/blob/develop/docs/hyperopt.md)
- [Control the bot with telegram](https://github.com/freqtrade/freqtrade/blob/develop/docs/telegram-usage.md)
- [Receive notifications via webhook](https://github.com/freqtrade/freqtrade/blob/develop/docs/webhook-config.md)

14
freqtrade/edge/__init__.py
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@ -144,20 +144,6 @@ class Edge():
self._cached_pairs = self._process_expectancy(trades_df)
self._last_updated = arrow.utcnow().timestamp
# Not a nice hack but probably simplest solution:
# When backtest load data it loads the delta between disk and exchange
# The problem is that exchange consider that recent.
# it is but it is incomplete (c.f. _async_get_candle_history)
# So it causes get_signal to exit cause incomplete ticker_hist
# A patch to that would be update _pairs_last_refresh_time of exchange
# so it will download again all pairs
# Another solution is to add new data to klines instead of reassigning it:
# self.klines[pair].update(data) instead of self.klines[pair] = data in exchange package.
# But that means indexing timestamp and having a verification so that
# there is no empty range between two timestaps (recently added and last
# one)
self.exchange._pairs_last_refresh_time = {}
return True
def stake_amount(self, pair: str, free_capital: float,

77
freqtrade/exchange/__init__.py
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@ -7,12 +7,14 @@ from typing import List, Dict, Tuple, Any, Optional
from datetime import datetime
from math import floor, ceil
import arrow
import asyncio
import ccxt
import ccxt.async_support as ccxt_async
import arrow
from pandas import DataFrame
from freqtrade import constants, OperationalException, DependencyException, TemporaryError
from freqtrade.exchange.exchange_helpers import parse_ticker_dataframe
logger = logging.getLogger(__name__)
@ -64,14 +66,8 @@ def retrier(f):
class Exchange(object):
# Current selected exchange
_api: ccxt.Exchange = None
_api_async: ccxt_async.Exchange = None
_conf: Dict = {}
# Holds all open sell orders for dry_run
_dry_run_open_orders: Dict[str, Any] = {}
def __init__(self, config: dict) -> None:
"""
Initializes this module with the given config,
@ -87,15 +83,19 @@ class Exchange(object):
self._pairs_last_refresh_time: Dict[str, int] = {}
# Holds candles
self.klines: Dict[str, Any] = {}
self._klines: Dict[str, DataFrame] = {}
# Holds all open sell orders for dry_run
self._dry_run_open_orders: Dict[str, Any] = {}
if config['dry_run']:
logger.info('Instance is running with dry_run enabled')
exchange_config = config['exchange']
self._api = self._init_ccxt(exchange_config, ccxt_kwargs=exchange_config.get('ccxt_config'))
self._api_async = self._init_ccxt(exchange_config, ccxt_async,
ccxt_kwargs=exchange_config.get('ccxt_async_config'))
self._api: ccxt.Exchange = self._init_ccxt(
exchange_config, ccxt_kwargs=exchange_config.get('ccxt_config'))
self._api_async: ccxt_async.Exchange = self._init_ccxt(
exchange_config, ccxt_async, ccxt_kwargs=exchange_config.get('ccxt_async_config'))
logger.info('Using Exchange "%s"', self.name)
@ -158,6 +158,12 @@ class Exchange(object):
"""exchange ccxt id"""
return self._api.id
def klines(self, pair: str) -> DataFrame:
if pair in self._klines:
return self._klines[pair].copy()
else:
return None
def set_sandbox(self, api, exchange_config: dict, name: str):
if exchange_config.get('sandbox'):
if api.urls.get('test'):
@ -513,9 +519,9 @@ class Exchange(object):
# Combine tickers
data: List = []
for tick in tickers:
if tick[0] == pair:
data.extend(tick[1])
for p, ticker in tickers:
if p == pair:
data.extend(ticker)
# Sort data again after extending the result - above calls return in "async order" order
data = sorted(data, key=lambda x: x[0])
logger.info("downloaded %s with length %s.", pair, len(data))
@ -523,7 +529,7 @@ class Exchange(object):
def refresh_tickers(self, pair_list: List[str], ticker_interval: str) -> None:
"""
Refresh tickers asyncronously and return the result.
Refresh tickers asyncronously and set `_klines` of this object with the result
"""
logger.debug("Refreshing klines for %d pairs", len(pair_list))
asyncio.get_event_loop().run_until_complete(
@ -532,9 +538,27 @@ class Exchange(object):
async def async_get_candles_history(self, pairs: List[str],
tick_interval: str) -> List[Tuple[str, List]]:
"""Download ohlcv history for pair-list asyncronously """
input_coroutines = [self._async_get_candle_history(
symbol, tick_interval) for symbol in pairs]
# Calculating ticker interval in second
interval_in_sec = constants.TICKER_INTERVAL_MINUTES[tick_interval] * 60
input_coroutines = []
# Gather corotines to run
for pair in pairs:
if not (self._pairs_last_refresh_time.get(pair, 0) + interval_in_sec >=
arrow.utcnow().timestamp and pair in self._klines):
input_coroutines.append(self._async_get_candle_history(pair, tick_interval))
else:
logger.debug("Using cached klines data for %s ...", pair)
tickers = await asyncio.gather(*input_coroutines, return_exceptions=True)
# handle caching
for pair, ticks in tickers:
# keeping last candle time as last refreshed time of the pair
if ticks:
self._pairs_last_refresh_time[pair] = ticks[-1][0] // 1000
# keeping parsed dataframe in cache
self._klines[pair] = parse_ticker_dataframe(ticks)
return tickers
@retrier_async
@ -544,18 +568,6 @@ class Exchange(object):
# fetch ohlcv asynchronously
logger.debug("fetching %s since %s ...", pair, since_ms)
# Calculating ticker interval in second
interval_in_sec = constants.TICKER_INTERVAL_MINUTES[tick_interval] * 60
# If (last update time) + (interval in second) is greater or equal than now
# that means we don't have to hit the API as there is no new candle
# so we fetch it from local cache
if (not since_ms and
self._pairs_last_refresh_time.get(pair, 0) + interval_in_sec >=
arrow.utcnow().timestamp):
data = self.klines[pair]
logger.debug("Using cached klines data for %s ...", pair)
else:
data = await self._api_async.fetch_ohlcv(pair, timeframe=tick_interval,
since=since_ms)
@ -566,13 +578,6 @@ class Exchange(object):
if data and data[0][0] > data[-1][0]:
data = sorted(data, key=lambda x: x[0])
# keeping last candle time as last refreshed time of the pair
if data:
self._pairs_last_refresh_time[pair] = data[-1][0] // 1000
# keeping candles in cache
self.klines[pair] = data
logger.debug("done fetching %s ...", pair)
return pair, data

1
freqtrade/exchange/exchange_helpers.py
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@ -14,6 +14,7 @@ def parse_ticker_dataframe(ticker: list) -> DataFrame:
:param ticker: ticker list, as returned by exchange.async_get_candle_history
:return: DataFrame
"""
logger.debug("Parsing tickerlist to dataframe")
cols = ['date', 'open', 'high', 'low', 'close', 'volume']
frame = DataFrame(ticker, columns=cols)

5
freqtrade/freqtradebot.py
View File

@ -317,7 +317,7 @@ class FreqtradeBot(object):
# running get_signal on historical data fetched
for _pair in whitelist:
(buy, sell) = self.strategy.get_signal(_pair, interval, self.exchange.klines.get(_pair))
(buy, sell) = self.strategy.get_signal(_pair, interval, self.exchange.klines(_pair))
if buy and not sell:
stake_amount = self._get_trade_stake_amount(_pair)
if not stake_amount:
@ -578,9 +578,8 @@ class FreqtradeBot(object):
(buy, sell) = (False, False)
experimental = self.config.get('experimental', {})
if experimental.get('use_sell_signal') or experimental.get('ignore_roi_if_buy_signal'):
ticker = self.exchange.klines.get(trade.pair)
(buy, sell) = self.strategy.get_signal(trade.pair, self.strategy.ticker_interval,
ticker)
self.exchange.klines(trade.pair))
config_ask_strategy = self.config.get('ask_strategy', {})
if config_ask_strategy.get('use_order_book', False):

2
freqtrade/optimize/backtesting.py
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@ -362,7 +362,7 @@ class Backtesting(object):
if self.config.get('live'):
logger.info('Downloading data for all pairs in whitelist ...')
self.exchange.refresh_tickers(pairs, self.ticker_interval)
data = self.exchange.klines
data = self.exchange._klines
else:
logger.info('Using local backtesting data (using whitelist in given config) ...')

12
freqtrade/optimize/edge_cli.py
View File

@ -1,7 +1,7 @@
# pragma pylint: disable=missing-docstring, W0212, too-many-arguments
"""
This module contains the backtesting logic
This module contains the edge backtesting interface
"""
import logging
from argparse import Namespace
@ -19,11 +19,11 @@ logger = logging.getLogger(__name__)
class EdgeCli(object):
"""
Backtesting class, this class contains all the logic to run a backtest
EdgeCli class, this class contains all the logic to run edge backtesting
To run a backtest:
backtesting = Backtesting(config)
backtesting.start()
To run a edge backtest:
edge = EdgeCli(config)
edge.start()
"""
def __init__(self, config: Dict[str, Any]) -> None:
@ -77,7 +77,7 @@ class EdgeCli(object):
def setup_configuration(args: Namespace) -> Dict[str, Any]:
"""
Prepare the configuration for the backtesting
Prepare the configuration for edge backtesting
:param args: Cli args from Arguments()
:return: Configuration
"""

0
freqtrade/fiat_convert.py → freqtrade/rpc/fiat_convert.py
View File

2
freqtrade/rpc/rpc.py
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@ -14,9 +14,9 @@ from numpy import mean, nan_to_num, NAN
from pandas import DataFrame
from freqtrade import TemporaryError, DependencyException
from freqtrade.fiat_convert import CryptoToFiatConverter
from freqtrade.misc import shorten_date
from freqtrade.persistence import Trade
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
from freqtrade.state import State
from freqtrade.strategy.interface import SellType

2
freqtrade/rpc/telegram.py
View File

@ -12,8 +12,8 @@ from telegram.error import NetworkError, TelegramError
from telegram.ext import CommandHandler, Updater
from freqtrade.__init__ import __version__
from freqtrade.fiat_convert import CryptoToFiatConverter
from freqtrade.rpc import RPC, RPCException, RPCMessageType
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
logger = logging.getLogger(__name__)

15
freqtrade/strategy/interface.py
View File

@ -6,7 +6,7 @@ import logging
from abc import ABC, abstractmethod
from datetime import datetime
from enum import Enum
from typing import Dict, List, NamedTuple, Optional, Tuple
from typing import Dict, List, NamedTuple, Tuple
import warnings
import arrow
@ -128,19 +128,17 @@ class IStrategy(ABC):
"""
return self.__class__.__name__
def analyze_ticker(self, ticker_history: List[Dict], metadata: dict) -> DataFrame:
def analyze_ticker(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Parses the given ticker history and returns a populated DataFrame
add several TA indicators and buy signal to it
:return DataFrame with ticker data and indicator data
"""
dataframe = parse_ticker_dataframe(ticker_history)
pair = str(metadata.get('pair'))
# Test if seen this pair and last candle before.
# always run if process_only_new_candles is set to true
# always run if process_only_new_candles is set to false
if (not self.process_only_new_candles or
self._last_candle_seen_per_pair.get(pair, None) != dataframe.iloc[-1]['date']):
# Defs that only make change on new candle data.
@ -161,19 +159,20 @@ class IStrategy(ABC):
return dataframe
def get_signal(self, pair: str, interval: str,
ticker_hist: Optional[List[Dict]]) -> Tuple[bool, bool]:
dataframe: DataFrame) -> Tuple[bool, bool]:
"""
Calculates current signal based several technical analysis indicators
:param pair: pair in format ANT/BTC
:param interval: Interval to use (in min)
:param dataframe: Dataframe to analyze
:return: (Buy, Sell) A bool-tuple indicating buy/sell signal
"""
if not ticker_hist:
if not isinstance(dataframe, DataFrame) or dataframe.empty:
logger.warning('Empty ticker history for pair %s', pair)
return False, False
try:
dataframe = self.analyze_ticker(ticker_hist, {'pair': pair})
dataframe = self.analyze_ticker(dataframe, {'pair': pair})
except ValueError as error:
logger.warning(
'Unable to analyze ticker for pair %s: %s',

10
freqtrade/tests/conftest.py
View File

@ -82,7 +82,6 @@ def get_patched_freqtradebot(mocker, config) -> FreqtradeBot:
:param config: Config to pass to the bot
:return: None
"""
# mocker.patch('freqtrade.fiat_convert.Market', {'price_usd': 12345.0})
patch_coinmarketcap(mocker, {'price_usd': 12345.0})
mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
mocker.patch('freqtrade.freqtradebot.persistence.init', MagicMock())
@ -107,7 +106,7 @@ def patch_coinmarketcap(mocker, value: Optional[Dict[str, float]] = None) -> Non
'website_slug': 'ethereum'}
]})
mocker.patch.multiple(
'freqtrade.fiat_convert.Market',
'freqtrade.rpc.fiat_convert.Market',
ticker=tickermock,
listings=listmock,
@ -482,7 +481,7 @@ def order_book_l2():
@pytest.fixture
def ticker_history():
def ticker_history_list():
return [
[
1511686200000, # unix timestamp ms
@ -511,6 +510,11 @@ def ticker_history():
]
@pytest.fixture
def ticker_history(ticker_history_list):
return parse_ticker_dataframe(ticker_history_list)
@pytest.fixture
def tickers():
return MagicMock(return_value={

29
freqtrade/tests/exchange/test_exchange.py
View File

@ -9,6 +9,7 @@ from unittest.mock import Mock, MagicMock, PropertyMock
import arrow
import ccxt
import pytest
from pandas import DataFrame
from freqtrade import DependencyException, OperationalException, TemporaryError
from freqtrade.exchange import API_RETRY_COUNT, Exchange
@ -780,12 +781,20 @@ def test_get_history(default_conf, mocker, caplog):
def test_refresh_tickers(mocker, default_conf, caplog) -> None:
tick = [
[
1511686200000, # unix timestamp ms
(arrow.utcnow().timestamp - 1) * 1000, # unix timestamp ms
1, # open
2, # high
3, # low
4, # close
5, # volume (in quote currency)
],
[
arrow.utcnow().timestamp * 1000, # unix timestamp ms
3, # open
1, # high
4, # low
6, # close
5, # volume (in quote currency)
]
]
@ -795,13 +804,21 @@ def test_refresh_tickers(mocker, default_conf, caplog) -> None:
pairs = ['IOTA/ETH', 'XRP/ETH']
# empty dicts
assert not exchange.klines
assert not exchange._klines
exchange.refresh_tickers(['IOTA/ETH', 'XRP/ETH'], '5m')
assert log_has(f'Refreshing klines for {len(pairs)} pairs', caplog.record_tuples)
assert exchange.klines
assert exchange._klines
assert exchange._api_async.fetch_ohlcv.call_count == 2
for pair in pairs:
assert exchange.klines[pair]
assert isinstance(exchange.klines(pair), DataFrame)
assert len(exchange.klines(pair)) > 0
# test caching
exchange.refresh_tickers(['IOTA/ETH', 'XRP/ETH'], '5m')
assert exchange._api_async.fetch_ohlcv.call_count == 2
assert log_has(f"Using cached klines data for {pairs[0]} ...", caplog.record_tuples)
@pytest.mark.asyncio
@ -831,10 +848,6 @@ async def test__async_get_candle_history(default_conf, mocker, caplog):
assert res[1] == tick
assert exchange._api_async.fetch_ohlcv.call_count == 1
assert not log_has(f"Using cached klines data for {pair} ...", caplog.record_tuples)
# test caching
res = await exchange._async_get_candle_history(pair, "5m")
assert exchange._api_async.fetch_ohlcv.call_count == 1
assert log_has(f"Using cached klines data for {pair} ...", caplog.record_tuples)
# exchange = Exchange(default_conf)
await async_ccxt_exception(mocker, default_conf, MagicMock(),

6
freqtrade/tests/exchange/test_exchange_helpers.py
View File

@ -1,6 +1,8 @@
# pragma pylint: disable=missing-docstring, C0103
import logging
from freqtrade.exchange.exchange_helpers import parse_ticker_dataframe
from freqtrade.tests.conftest import log_has
def test_dataframe_correct_length(result):
@ -13,9 +15,11 @@ def test_dataframe_correct_columns(result):
['date', 'open', 'high', 'low', 'close', 'volume']
def test_parse_ticker_dataframe(ticker_history):
def test_parse_ticker_dataframe(ticker_history, caplog):
columns = ['date', 'open', 'high', 'low', 'close', 'volume']
caplog.set_level(logging.DEBUG)
# Test file with BV data
dataframe = parse_ticker_dataframe(ticker_history)
assert dataframe.columns.tolist() == columns
assert log_has('Parsing tickerlist to dataframe', caplog.record_tuples)

4
freqtrade/tests/optimize/test_backtesting.py
View File

@ -840,7 +840,7 @@ def test_backtest_start_live(default_conf, mocker, caplog):
'Using stake_currency: BTC ...',
'Using stake_amount: 0.001 ...',
'Downloading data for all pairs in whitelist ...',
'Measuring data from 2017-11-14T19:31:00+00:00 up to 2017-11-14T22:58:00+00:00 (0 days)..',
'Measuring data from 2017-11-14T19:31:00+00:00 up to 2017-11-14T22:57:00+00:00 (0 days)..',
'Parameter --enable-position-stacking detected ...'
]
@ -899,7 +899,7 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog):
'Using stake_currency: BTC ...',
'Using stake_amount: 0.001 ...',
'Downloading data for all pairs in whitelist ...',
'Measuring data from 2017-11-14T19:31:00+00:00 up to 2017-11-14T22:58:00+00:00 (0 days)..',
'Measuring data from 2017-11-14T19:31:00+00:00 up to 2017-11-14T22:57:00+00:00 (0 days)..',
'Parameter --enable-position-stacking detected ...',
'Running backtesting for Strategy DefaultStrategy',
'Running backtesting for Strategy TestStrategy',

17
freqtrade/tests/optimize/test_optimize.py
View File

@ -85,11 +85,11 @@ def test_load_data_1min_ticker(ticker_history, mocker, caplog) -> None:
_clean_test_file(file)
def test_load_data_with_new_pair_1min(ticker_history, mocker, caplog, default_conf) -> None:
def test_load_data_with_new_pair_1min(ticker_history_list, mocker, caplog, default_conf) -> None:
"""
Test load_data() with 1 min ticker
"""
mocker.patch('freqtrade.exchange.Exchange.get_history', return_value=ticker_history)
mocker.patch('freqtrade.exchange.Exchange.get_history', return_value=ticker_history_list)
exchange = get_patched_exchange(mocker, default_conf)
file = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'MEME_BTC-1m.json')
@ -119,8 +119,8 @@ def test_testdata_path() -> None:
assert os.path.join('freqtrade', 'tests', 'testdata') in make_testdata_path(None)
def test_download_pairs(ticker_history, mocker, default_conf) -> None:
mocker.patch('freqtrade.exchange.Exchange.get_history', return_value=ticker_history)
def test_download_pairs(ticker_history_list, mocker, default_conf) -> None:
mocker.patch('freqtrade.exchange.Exchange.get_history', return_value=ticker_history_list)
exchange = get_patched_exchange(mocker, default_conf)
file1_1 = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'MEME_BTC-1m.json')
file1_5 = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'MEME_BTC-5m.json')
@ -280,16 +280,18 @@ def test_download_pairs_exception(ticker_history, mocker, caplog, default_conf)
assert log_has('Failed to download the pair: "MEME/BTC", Interval: 1m', caplog.record_tuples)
def test_download_backtesting_testdata(ticker_history, mocker, default_conf) -> None:
mocker.patch('freqtrade.exchange.Exchange.get_history', return_value=ticker_history)
def test_download_backtesting_testdata(ticker_history_list, mocker, default_conf) -> None:
mocker.patch('freqtrade.exchange.Exchange.get_history', return_value=ticker_history_list)
exchange = get_patched_exchange(mocker, default_conf)
# Tst that pairs-cached is not touched.
assert not exchange._pairs_last_refresh_time
# Download a 1 min ticker file
file1 = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'XEL_BTC-1m.json')
_backup_file(file1)
download_backtesting_testdata(None, exchange, pair="XEL/BTC", tick_interval='1m')
assert os.path.isfile(file1) is True
_clean_test_file(file1)
assert not exchange._pairs_last_refresh_time
# Download a 5 min ticker file
file2 = os.path.join(os.path.dirname(__file__), '..', 'testdata', 'STORJ_BTC-5m.json')
@ -298,6 +300,7 @@ def test_download_backtesting_testdata(ticker_history, mocker, default_conf) ->
download_backtesting_testdata(None, exchange, pair="STORJ/BTC", tick_interval='5m')
assert os.path.isfile(file2) is True
_clean_test_file(file2)
assert not exchange._pairs_last_refresh_time
def test_download_backtesting_testdata2(mocker, default_conf) -> None:

19
freqtrade/tests/test_fiat_convert.py → freqtrade/tests/rpc/test_fiat_convert.py
View File

@ -7,7 +7,7 @@ from unittest.mock import MagicMock
import pytest
from requests.exceptions import RequestException
from freqtrade.fiat_convert import CryptoFiat, CryptoToFiatConverter
from freqtrade.rpc.fiat_convert import CryptoFiat, CryptoToFiatConverter
from freqtrade.tests.conftest import log_has, patch_coinmarketcap
@ -81,16 +81,18 @@ def test_fiat_convert_find_price(mocker):
assert fiat_convert.get_price(crypto_symbol='XRP', fiat_symbol='USD') == 0.0
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=12345.0)
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=12345.0)
assert fiat_convert.get_price(crypto_symbol='BTC', fiat_symbol='USD') == 12345.0
assert fiat_convert.get_price(crypto_symbol='btc', fiat_symbol='usd') == 12345.0
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=13000.2)
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=13000.2)
assert fiat_convert.get_price(crypto_symbol='BTC', fiat_symbol='EUR') == 13000.2
def test_fiat_convert_unsupported_crypto(mocker, caplog):
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._cryptomap', return_value=[])
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._cryptomap', return_value=[])
patch_coinmarketcap(mocker)
fiat_convert = CryptoToFiatConverter()
assert fiat_convert._find_price(crypto_symbol='CRYPTO_123', fiat_symbol='EUR') == 0.0
@ -100,7 +102,8 @@ def test_fiat_convert_unsupported_crypto(mocker, caplog):
def test_fiat_convert_get_price(mocker):
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=28000.0)
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=28000.0)
fiat_convert = CryptoToFiatConverter()
@ -157,7 +160,7 @@ def test_fiat_init_network_exception(mocker):
# Because CryptoToFiatConverter is a Singleton we reset the listings
listmock = MagicMock(side_effect=RequestException)
mocker.patch.multiple(
'freqtrade.fiat_convert.Market',
'freqtrade.rpc.fiat_convert.Market',
listings=listmock,
)
# with pytest.raises(RequestEsxception):
@ -187,7 +190,7 @@ def test_fiat_invalid_response(mocker, caplog):
# Because CryptoToFiatConverter is a Singleton we reset the listings
listmock = MagicMock(return_value="{'novalidjson':DEADBEEFf}")
mocker.patch.multiple(
'freqtrade.fiat_convert.Market',
'freqtrade.rpc.fiat_convert.Market',
listings=listmock,
)
# with pytest.raises(RequestEsxception):
@ -203,7 +206,7 @@ def test_fiat_invalid_response(mocker, caplog):
def test_convert_amount(mocker):
patch_coinmarketcap(mocker)
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter.get_price', return_value=12345.0)
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter.get_price', return_value=12345.0)
fiat_convert = CryptoToFiatConverter()
result = fiat_convert.convert_amount(

11
freqtrade/tests/rpc/test_rpc.py
View File

@ -8,10 +8,10 @@ import pytest
from numpy import isnan
from freqtrade import TemporaryError, DependencyException
from freqtrade.fiat_convert import CryptoToFiatConverter
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.persistence import Trade
from freqtrade.rpc import RPC, RPCException
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
from freqtrade.state import State
from freqtrade.tests.test_freqtradebot import patch_get_signal
from freqtrade.tests.conftest import patch_coinmarketcap, patch_exchange
@ -171,7 +171,7 @@ def test_rpc_daily_profit(default_conf, update, ticker, fee,
def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
limit_buy_order, limit_sell_order, markets, mocker) -> None:
mocker.patch.multiple(
'freqtrade.fiat_convert.Market',
'freqtrade.rpc.fiat_convert.Market',
ticker=MagicMock(return_value={'price_usd': 15000.0}),
)
patch_coinmarketcap(mocker)
@ -260,10 +260,11 @@ def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, fee, markets,
ticker_sell_up, limit_buy_order, limit_sell_order):
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.fiat_convert.Market',
'freqtrade.rpc.fiat_convert.Market',
ticker=MagicMock(return_value={'price_usd': 15000.0}),
)
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=15000.0)
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@ -328,7 +329,7 @@ def test_rpc_balance_handle(default_conf, mocker):
# ETH will be skipped due to mocked Error below
mocker.patch.multiple(
'freqtrade.fiat_convert.Market',
'freqtrade.rpc.fiat_convert.Market',
ticker=MagicMock(return_value={'price_usd': 15000.0}),
)
patch_coinmarketcap(mocker)

9
freqtrade/tests/rpc/test_rpc_telegram.py
View File

@ -737,7 +737,8 @@ def test_forcesell_handle(default_conf, update, ticker, fee,
def test_forcesell_down_handle(default_conf, update, ticker, fee,
ticker_sell_down, markets, mocker) -> None:
patch_coinmarketcap(mocker, value={'price_usd': 15000.0})
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=15000.0)
rpc_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
mocker.patch.multiple(
@ -791,7 +792,8 @@ def test_forcesell_down_handle(default_conf, update, ticker, fee,
def test_forcesell_all_handle(default_conf, update, ticker, fee, markets, mocker) -> None:
patch_coinmarketcap(mocker, value={'price_usd': 15000.0})
patch_exchange(mocker)
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=15000.0)
rpc_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.get_pair_detail_url', MagicMock())
@ -836,7 +838,8 @@ def test_forcesell_all_handle(default_conf, update, ticker, fee, markets, mocker
def test_forcesell_handle_invalid(default_conf, update, mocker) -> None:
patch_coinmarketcap(mocker, value={'price_usd': 15000.0})
mocker.patch('freqtrade.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0)
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=15000.0)
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',

34
freqtrade/tests/strategy/test_interface.py
View File

@ -16,62 +16,69 @@ from freqtrade.strategy.default_strategy import DefaultStrategy
_STRATEGY = DefaultStrategy(config={})
def test_returns_latest_buy_signal(mocker, default_conf):
def test_returns_latest_buy_signal(mocker, default_conf, ticker_history):
mocker.patch.object(
_STRATEGY, 'analyze_ticker',
return_value=DataFrame([{'buy': 1, 'sell': 0, 'date': arrow.utcnow()}])
)
assert _STRATEGY.get_signal('ETH/BTC', '5m', MagicMock()) == (True, False)
assert _STRATEGY.get_signal('ETH/BTC', '5m', ticker_history) == (True, False)
mocker.patch.object(
_STRATEGY, 'analyze_ticker',
return_value=DataFrame([{'buy': 0, 'sell': 1, 'date': arrow.utcnow()}])
)
assert _STRATEGY.get_signal('ETH/BTC', '5m', MagicMock()) == (False, True)
assert _STRATEGY.get_signal('ETH/BTC', '5m', ticker_history) == (False, True)
def test_returns_latest_sell_signal(mocker, default_conf):
def test_returns_latest_sell_signal(mocker, default_conf, ticker_history):
mocker.patch.object(
_STRATEGY, 'analyze_ticker',
return_value=DataFrame([{'sell': 1, 'buy': 0, 'date': arrow.utcnow()}])
)
assert _STRATEGY.get_signal('ETH/BTC', '5m', MagicMock()) == (False, True)
assert _STRATEGY.get_signal('ETH/BTC', '5m', ticker_history) == (False, True)
mocker.patch.object(
_STRATEGY, 'analyze_ticker',
return_value=DataFrame([{'sell': 0, 'buy': 1, 'date': arrow.utcnow()}])
)
assert _STRATEGY.get_signal('ETH/BTC', '5m', MagicMock()) == (True, False)
assert _STRATEGY.get_signal('ETH/BTC', '5m', ticker_history) == (True, False)
def test_get_signal_empty(default_conf, mocker, caplog):
assert (False, False) == _STRATEGY.get_signal('foo', default_conf['ticker_interval'],
None)
DataFrame())
assert log_has('Empty ticker history for pair foo', caplog.record_tuples)
caplog.clear()
assert (False, False) == _STRATEGY.get_signal('bar', default_conf['ticker_interval'],
[])
assert log_has('Empty ticker history for pair bar', caplog.record_tuples)
def test_get_signal_exception_valueerror(default_conf, mocker, caplog):
def test_get_signal_exception_valueerror(default_conf, mocker, caplog, ticker_history):
caplog.set_level(logging.INFO)
mocker.patch.object(
_STRATEGY, 'analyze_ticker',
side_effect=ValueError('xyz')
)
assert (False, False) == _STRATEGY.get_signal('foo', default_conf['ticker_interval'], 1)
assert (False, False) == _STRATEGY.get_signal('foo', default_conf['ticker_interval'],
ticker_history)
assert log_has('Unable to analyze ticker for pair foo: xyz', caplog.record_tuples)
def test_get_signal_empty_dataframe(default_conf, mocker, caplog):
def test_get_signal_empty_dataframe(default_conf, mocker, caplog, ticker_history):
caplog.set_level(logging.INFO)
mocker.patch.object(
_STRATEGY, 'analyze_ticker',
return_value=DataFrame([])
)
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['ticker_interval'], 1)
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['ticker_interval'],
ticker_history)
assert log_has('Empty dataframe for pair xyz', caplog.record_tuples)
def test_get_signal_old_dataframe(default_conf, mocker, caplog):
def test_get_signal_old_dataframe(default_conf, mocker, caplog, ticker_history):
caplog.set_level(logging.INFO)
# default_conf defines a 5m interval. we check interval * 2 + 5m
# this is necessary as the last candle is removed (partial candles) by default
@ -81,7 +88,8 @@ def test_get_signal_old_dataframe(default_conf, mocker, caplog):
_STRATEGY, 'analyze_ticker',
return_value=DataFrame(ticks)
)
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['ticker_interval'], 1)
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['ticker_interval'],
ticker_history)
assert log_has(
'Outdated history for pair xyz. Last tick is 16 minutes old',
caplog.record_tuples

4
freqtrade/tests/test_misc.py
View File

@ -16,8 +16,8 @@ def test_shorten_date() -> None:
assert shorten_date(str_data) == str_shorten_data
def test_datesarray_to_datetimearray(ticker_history):
dataframes = parse_ticker_dataframe(ticker_history)
def test_datesarray_to_datetimearray(ticker_history_list):
dataframes = parse_ticker_dataframe(ticker_history_list)
dates = datesarray_to_datetimearray(dataframes['date'])
assert isinstance(dates[0], datetime.datetime)

8
requirements.txt
View File

@ -1,9 +1,9 @@
ccxt==1.18.13
SQLAlchemy==1.2.14
ccxt==1.18.37
SQLAlchemy==1.2.15
python-telegram-bot==11.1.0
arrow==0.12.1
cachetools==3.0.0
requests==2.20.1
requests==2.21.0
urllib3==1.24.1
wrapt==1.10.11
pandas==0.23.4
@ -13,7 +13,7 @@ scipy==1.1.0
jsonschema==2.6.0
numpy==1.15.4
TA-Lib==0.4.17
pytest==4.0.1
pytest==4.0.2
pytest-mock==1.10.0
pytest-asyncio==0.9.0
pytest-cov==2.6.0

2
scripts/plot_dataframe.py
View File

@ -139,7 +139,7 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
if args.live:
logger.info('Downloading pair.')
exchange.refresh_tickers([pair], tick_interval)
tickers[pair] = exchange.klines[pair]
tickers[pair] = exchange.klines(pair)
else:
tickers = optimize.load_data(
datadir=_CONF.get("datadir"),