help windows builds pass freqai tests. Add freqai to README.md
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@ -63,6 +63,7 @@ Please find the complete documentation on the [freqtrade website](https://www.fr
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- [x] **Dry-run**: Run the bot without paying money.
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- [x] **Backtesting**: Run a simulation of your buy/sell strategy.
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- [x] **Strategy Optimization by machine learning**: Use machine learning to optimize your buy/sell strategy parameters with real exchange data.
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- [X] **Adaptive prediction modeling**: Build a smart strategy with FreqAI that self-trains to the market via adaptive machine learning methods. [Learn more](https://www.freqtrade.io/en/stable/freqai/)
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- [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://www.freqtrade.io/en/stable/edge/).
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- [x] **Whitelist crypto-currencies**: Select which crypto-currency you want to trade or use dynamic whitelists.
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- [x] **Blacklist crypto-currencies**: Select which crypto-currency you want to avoid.
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@ -44,7 +44,7 @@ def freqai_conf(default_conf):
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"indicator_periods_candles": [10],
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},
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"data_split_parameters": {"test_size": 0.33, "random_state": 1},
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"model_training_parameters": {"n_estimators": 100},
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"model_training_parameters": {"n_estimators": 100, "verbosity": 0},
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},
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"config_files": [Path('config_examples', 'config_freqai_futures.example.json')]
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}
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@ -9,13 +9,10 @@ from unittest.mock import MagicMock
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from freqtrade.configuration import TimeRange
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
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from tests.conftest import get_patched_exchange, log_has
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from tests.conftest import get_patched_exchange, log_has_re
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from tests.freqai.conftest import freqai_conf, get_patched_freqai_strategy
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# import pytest
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def test_train_model_in_series_LightGBM(mocker, default_conf):
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freqaiconf = freqai_conf(copy.deepcopy(default_conf))
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freqaiconf.update({"timerange": "20180110-20180130"})
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@ -175,8 +172,9 @@ def test_start_backtesting_from_existing_folder(mocker, default_conf, caplog):
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df = freqai.dk.use_strategy_to_populate_indicators(strategy, corr_df, base_df, "LTC/BTC")
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freqai.start_backtesting(df, metadata, freqai.dk)
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assert log_has(
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"Found model at user_data/models/uniqe-id100/sub-train-ADA1517097600/cb_ada_1517097600",
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assert log_has_re(
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"Found model at ",
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caplog,
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)
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