2018-10-03 08:37:36 +00:00
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from freqtrade.tests.conftest import get_patched_exchange
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2018-10-02 14:07:33 +00:00
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from freqtrade.edge import Edge
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2018-10-03 08:37:36 +00:00
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from pandas import DataFrame
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2018-10-02 14:07:33 +00:00
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# Cases to be tested:
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2018-10-03 08:37:36 +00:00
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# SELL POINTS:
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2018-10-02 16:05:24 +00:00
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# 1) Three complete trades within dataframe (with sell hit for all)
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# 2) Two complete trades but one without sell hit (remains open)
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# 3) Two complete trades and one buy signal while one trade is open
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# 4) Two complete trades with buy=1 on the last frame
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2018-10-03 08:37:36 +00:00
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###################################################################
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# STOPLOSS:
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2018-10-02 14:07:33 +00:00
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# 5) Candle drops 8%, stoploss at 1%: Trade closed, 1% loss
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# 6) Candle drops 4% but recovers to 1% loss, stoploss at 3%: Trade closed, 3% loss
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2018-10-02 16:05:24 +00:00
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# 7) Candle drops 4% recovers to 1% entry criteria are met, candle drops
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2018-10-02 14:07:33 +00:00
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# 20%, stoploss at 2%: Trade 1 closed, Loss 2%, Trade 2 opened, Trade 2 closed, Loss 2%
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2018-10-03 08:37:36 +00:00
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####################################################################
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# PRIORITY TO STOPLOSS:
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2018-10-02 16:05:24 +00:00
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# 8) Stoploss and sell are hit. should sell on stoploss
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2018-10-03 08:37:36 +00:00
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####################################################################
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2018-10-02 14:07:33 +00:00
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def test_filter(mocker, default_conf):
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exchange = get_patched_exchange(mocker, default_conf)
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edge = Edge(default_conf, exchange)
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mocker.patch('freqtrade.edge.Edge._cached_pairs', mocker.PropertyMock(
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return_value=[
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['E/F', -0.01, 0.66, 3.71, 0.50, 1.71],
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['C/D', -0.01, 0.66, 3.71, 0.50, 1.71],
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['N/O', -0.01, 0.66, 3.71, 0.50, 1.71]
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]
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))
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pairs = ['A/B', 'C/D', 'E/F', 'G/H']
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assert(edge.filter(pairs) == ['E/F', 'C/D'])
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2018-10-02 16:05:24 +00:00
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2018-10-03 08:37:36 +00:00
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def _validate_ohlc(buy_ohlc_sell_matrice):
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for index, ohlc in enumerate(buy_ohlc_sell_matrice):
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# if not high < open < low or not high < close < low
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if not ohlc[3] > ohlc[2] > ohlc[4] or not ohlc[3] > ohlc[5] > ohlc[4]:
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raise Exception('Line ' + str(index + 1) + ' of ohlc has invalid values!')
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return True
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def _build_dataframe(buy_ohlc_sell_matrice):
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_validate_ohlc(buy_ohlc_sell_matrice)
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tickers = []
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for ohlc in buy_ohlc_sell_matrice:
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ticker = {
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'date': ohlc[0],
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'buy': ohlc[1],
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'open': ohlc[2],
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'high': ohlc[3],
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'low': ohlc[4],
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'close': ohlc[5],
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'sell': ohlc[6]
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}
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tickers.append(ticker)
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return DataFrame(tickers)
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def test_three_complete_trades(mocker, default_conf):
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exchange = get_patched_exchange(mocker, default_conf)
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edge = Edge(default_conf, exchange)
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stoploss = -0.90 # we don't want stoploss to be hit in this test
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2018-10-02 16:05:24 +00:00
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three_sell_points_hit = [
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2018-10-03 08:37:36 +00:00
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# Date, Buy, O, H, L, C, Sell
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[1, 1, 15, 20, 12, 17, 0], # -> should enter the trade
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[2, 0, 17, 18, 13, 14, 1], # -> should sell (trade 1 completed)
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[3, 0, 14, 15, 11, 12, 0], # -> no action
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[4, 1, 12, 25, 11, 20, 0], # -> should enter the trade
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[5, 0, 20, 30, 19, 25, 1], # -> should sell (trade 2 completed)
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[6, 1, 25, 27, 22, 26, 1], # -> buy and sell, should enter the trade
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[7, 0, 26, 36, 25, 35, 1], # -> should sell (trade 3 completed)
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2018-10-02 16:05:24 +00:00
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]
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2018-10-03 08:37:36 +00:00
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ticker_df = _build_dataframe(three_sell_points_hit)
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trades = edge._find_trades_for_stoploss_range(ticker_df, 'TEST/BTC', [stoploss])
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# Three trades must have happened
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assert len(trades) == 3
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# First trade check
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assert trades[0]['open_time'] == 1
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assert trades[0]['close_time'] == 2
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# Second trade check
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assert trades[1]['open_time'] == 4
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assert trades[1]['close_time'] == 5
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# Third trade check
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assert trades[2]['open_time'] == 6
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assert trades[2]['close_time'] == 7
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