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stable/config_examples/config_freqai_spot.example.json

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add freqao backend machinery, user interface, documentation
2022-05-03 08:14:17 +00:00
{
"max_open_trades": 1,
"stake_currency": "USDT",
fix bug for target_mean/std array merging in backtesting
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"stake_amount": 900,
add freqao backend machinery, user interface, documentation
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"tradable_balance_ratio": 1,
"fiat_display_currency": "USD",
"dry_run": true,
"timeframe": "5m",
improve example strat so that it has dynamic buy and sell logic according to original prediction
2022-05-29 12:45:46 +00:00
"dry_run_wallet": 4000,
automatically detect maximum required data based on user fed indicators (to avoid NaNs in dataset for rolling indicators), add new config parameter for backtesting to let users increase their startup_candles to accommodate high timeframe indicators, add docs to explain all. Add new feature for automatic indicator duplication according to user defined intervals (exhibited in example strat and configs now).
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"dataformat_ohlcv": "json",
add freqao backend machinery, user interface, documentation
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"cancel_open_orders_on_exit": true,
"unfilledtimeout": {
"entry": 10,
"exit": 30
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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},
add freqao backend machinery, user interface, documentation
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"exchange": {
add self-retraining functionality for live/dry
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"name": "binance",
add freqao backend machinery, user interface, documentation
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"key": "",
"secret": "",
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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"ccxt_config": {
"enableRateLimit": true
},
add freqao backend machinery, user interface, documentation
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"ccxt_async_config": {
"enableRateLimit": true,
"rateLimit": 200
},
"pair_whitelist": [
allow users to store data in custom formats, update spot config to reflect better target horizon to training period ratio
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"BTC/USDT",
"ETH/USDT"
add freqao backend machinery, user interface, documentation
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],
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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"pair_blacklist": []
add freqao backend machinery, user interface, documentation
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},
"entry_pricing": {
"price_side": "same",
"use_order_book": true,
"order_book_top": 1,
"price_last_balance": 0.0,
"check_depth_of_market": {
"enabled": false,
"bids_to_ask_delta": 1
}
},
"exit_pricing": {
allow users to store data in custom formats, update spot config to reflect better target horizon to training period ratio
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"price_side": "other",
add freqao backend machinery, user interface, documentation
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"use_order_book": true,
"order_book_top": 1
},
"pairlists": [
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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{
"method": "StaticPairList"
}
add freqao backend machinery, user interface, documentation
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],
"freqai": {
automatically detect maximum required data based on user fed indicators (to avoid NaNs in dataset for rolling indicators), add new config parameter for backtesting to let users increase their startup_candles to accommodate high timeframe indicators, add docs to explain all. Add new feature for automatic indicator duplication according to user defined intervals (exhibited in example strat and configs now).
2022-05-31 16:42:27 +00:00
"startup_candles": 10000,
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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"timeframes": [
"5m",
improve example strat so that it has dynamic buy and sell logic according to original prediction
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"15m",
"4h"
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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],
Add follow_mode feature so that secondary bots can be launched with the same identifier and load models trained by the leader
2022-05-30 19:35:48 +00:00
"train_period": 30,
fix bug for target_mean/std array merging in backtesting
2022-05-26 19:07:50 +00:00
"backtest_period": 7,
auto populate features based on a prepended % in the strategy (remove feature assignment from config). Update doc/constants/example strategy to reflect change
2022-05-17 16:15:03 +00:00
"identifier": "example",
Allow user to go live and start from pretrained models (after a completed backtest) by simply reusing the `identifier` config parameter while dry/live.
2022-05-25 12:40:32 +00:00
"live_trained_timestamp": 0,
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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"corr_pairlist": [
add self-retraining functionality for live/dry
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"BTC/USDT",
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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"ETH/USDT",
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"DOT/USDT",
"MATIC/USDT",
"SOL/USDT"
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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],
"feature_parameters": {
allow users to store data in custom formats, update spot config to reflect better target horizon to training period ratio
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"period": 500,
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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"shift": 1,
fix bug for target_mean/std array merging in backtesting
2022-05-26 19:07:50 +00:00
"DI_threshold": 0,
"weight_factor": 0.9,
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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"principal_component_analysis": false,
improve example strat so that it has dynamic buy and sell logic according to original prediction
2022-05-29 12:45:46 +00:00
"use_SVM_to_remove_outliers": false,
automatically detect maximum required data based on user fed indicators (to avoid NaNs in dataset for rolling indicators), add new config parameter for backtesting to let users increase their startup_candles to accommodate high timeframe indicators, add docs to explain all. Add new feature for automatic indicator duplication according to user defined intervals (exhibited in example strat and configs now).
2022-05-31 16:42:27 +00:00
"stratify": 0,
"indicator_max_period": 50,
make defining period intervals more user friendly and flexible
2022-06-02 11:45:29 +00:00
"indicator_periods": [10, 20]
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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},
"data_split_parameters": {
fix bug for target_mean/std array merging in backtesting
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"test_size": 0.33,
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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"random_state": 1
add freqao backend machinery, user interface, documentation
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},
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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"model_training_parameters": {
Aggregated commit. Adding support vector machine for outlier detection, improve user interface to dry/live, better standardization, fix various other bugs
2022-05-22 15:51:49 +00:00
"n_estimators": 1000,
flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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"task_type": "CPU"
}
},
add freqao backend machinery, user interface, documentation
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"bot_name": "",
"initial_state": "running",
"forcebuy_enable": false,
"internals": {
"process_throttle_secs": 5
}
}
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