lychiyu/freqtrade_origin
1
0
Fork 0
mirror of https://github.com/freqtrade/freqtrade.git synced 2024-11-12 19:23:55 +00:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity

update example config/strat

Browse Source
This commit is contained in:
robcaulk 2022-06-07 19:54:45 +02:00
parent 15d049cffe
commit f8f25e36ef
2 changed files with 10 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
config_examples/config_freqai_futures.example.json
View File

@ -66,8 +66,8 @@
"1h" "1h"
], ],
"train_period": 20, "train_period": 20,
"backtest_period": 2, "backtest_period": 0.001,
"identifier": "example2", "identifier": "constant_retrain_live",
"live_trained_timestamp": 0, "live_trained_timestamp": 0,
"corr_pairlist": [ "corr_pairlist": [
"BTC/USDT:USDT", "BTC/USDT:USDT",
@ -76,20 +76,20 @@
"feature_parameters": { "feature_parameters": {
"period": 20, "period": 20,
"shift": 2, "shift": 2,
"DI_threshold": 0, "DI_threshold": 0.9,
"weight_factor": 0.9, "weight_factor": 0.9,
"principal_component_analysis": false, "principal_component_analysis": false,
"use_SVM_to_remove_outliers": true, "use_SVM_to_remove_outliers": true,
"stratify": 0, "stratify": 0,
"indicator_max_period": 20, "indicator_max_period": 20,
"indicator_periods": [10, 20, 30] "indicator_periods": [10, 20]
}, },
"data_split_parameters": { "data_split_parameters": {
"test_size": 0.33, "test_size": 0.33,
"random_state": 1 "random_state": 1
}, },
"model_training_parameters": { "model_training_parameters": {
"n_estimators": 200, "n_estimators": 1000,
"task_type": "CPU" "task_type": "CPU"
} }
}, },

9
freqtrade/templates/FreqaiExampleStrategy.py
View File

@ -47,7 +47,7 @@ class FreqaiExampleStrategy(IStrategy):
stoploss = -0.05 stoploss = -0.05
use_exit_signal = True use_exit_signal = True
startup_candle_count: int = 300 startup_candle_count: int = 300
can_short = False can_short = True
linear_roi_offset = DecimalParameter(0.00, 0.02, default=0.005, space='sell', linear_roi_offset = DecimalParameter(0.00, 0.02, default=0.005, space='sell',
optimize=False, load=True) optimize=False, load=True)
@ -178,8 +178,8 @@ class FreqaiExampleStrategy(IStrategy):
# each training period. # each training period.
dataframe = self.model.bridge.start(dataframe, metadata, self) dataframe = self.model.bridge.start(dataframe, metadata, self)
dataframe["target_roi"] = dataframe["target_mean"] + dataframe["target_std"] dataframe["target_roi"] = dataframe["target_mean"] + dataframe["target_std"] * 1.25
dataframe["sell_roi"] = dataframe["target_mean"] - dataframe["target_std"] dataframe["sell_roi"] = dataframe["target_mean"] - dataframe["target_std"] * 1.25
return dataframe return dataframe
def populate_entry_trend(self, df: DataFrame, metadata: dict) -> DataFrame: def populate_entry_trend(self, df: DataFrame, metadata: dict) -> DataFrame:
@ -245,7 +245,8 @@ class FreqaiExampleStrategy(IStrategy):
entry_tag = trade.enter_tag entry_tag = trade.enter_tag
if 'prediction' + entry_tag not in pair_dict[pair] or pair_dict[pair]['prediction' + entry_tag] > 0:: if ('prediction' + entry_tag not in pair_dict[pair] or
pair_dict[pair]['prediction' + entry_tag] > 0):
with self.model.bridge.lock: with self.model.bridge.lock:
pair_dict[pair]['prediction' + entry_tag] = abs(trade_candle['prediction']) pair_dict[pair]['prediction' + entry_tag] = abs(trade_candle['prediction'])
if not follow_mode: if not follow_mode: