intelligent-trading-bot/configs/config-sample-1min.jsonc
2025-04-17 17:36:48 +02:00

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{
"api_key": "<binance-key>",
"api_secret": "<binance-secret>",
"telegram_bot_token": "<token>",
"telegram_chat_id": "<chat-id-to-publish-messages>",
"data_folder": "C:/DATA_ITB",
// === DOWNLOAD AND MERGE ===
"symbol": "BTCUSDT",
"description": "BTCUSDT 1min",
"freq": "1min", // pandas frequency
"data_sources": [
{"folder": "BTCUSDT", "file": "klines", "column_prefix": ""}
],
// === GENERATE FEATURES ===
"feature_sets": [
{"column_prefix": "", "generator": "talib", "feature_prefix": "", "config": {"columns": ["close"], "functions": ["SMA"], "windows": [1, 5, 10, 15, 60]}},
{"column_prefix": "", "generator": "talib", "feature_prefix": "", "config": {"columns": ["close"], "functions": ["LINEARREG_SLOPE"], "windows": [5, 10, 15, 60]}},
{"column_prefix": "", "generator": "talib", "feature_prefix": "", "config": {"columns": ["close"], "functions": ["STDDEV"], "windows": [5, 10, 15, 60]}},
{"column_prefix": "", "generator": "common.my_feature_example:my_feature_example", "feature_prefix": "", "config": {"columns": "close", "function": "add", "parameter": 2.0, "names": "close_add"}}
],
// === LABELS ===
"label_sets": [
{"column_prefix": "", "generator": "highlow2", "feature_prefix": "", "config": {"columns": ["close", "high", "low"], "function": "high", "thresholds": [2.0], "tolerance": 0.2, "horizon": 120, "names": ["high_20"]}},
{"column_prefix": "", "generator": "highlow2", "feature_prefix": "", "config": {"columns": ["close", "high", "low"], "function": "low", "thresholds": [2.0], "tolerance": 0.2, "horizon": 120, "names": ["low_20"]}}
],
// === TRAIN ===
"label_horizon": 120, // Batch/offline: do not use these last rows because their labels might not be correct
"train_length": 525600, // Batch/offline: Uses this number of rows for training (if not additionally limited by the algorithm)
"train_feature_sets": [
{
"generator": "train_features", "config": {
// Use values from the attributes: train_features, labels, algorithms
}}
],
"train_features": [
"close_SMA_1", "close_SMA_5", "close_SMA_10", "close_SMA_15", "close_SMA_60",
"close_LINEARREG_SLOPE_5", "close_LINEARREG_SLOPE_10", "close_LINEARREG_SLOPE_15", "close_LINEARREG_SLOPE_60",
"close_STDDEV_5", "close_STDDEV_10", "close_STDDEV_15", "close_STDDEV_60"
],
"labels": ["high_20", "low_20"],
"algorithms": [
{
"name": "lc", // Unique name will be used as a column suffix
"algo": "lc", // Algorithm type is used to choose the train/predict function
"params": {"is_scale": true, "length": 0},
"train": {"penalty": "l2", "C": 1.0, "class_weight": null, "solver": "sag", "max_iter": 100}
}
],
"features_horizon": 2880, // Online/stream: Minimum data length for computing features. Take it from feature generator parameters
"features_last_rows": 5, // Online/stream: Last values which are really needed and have to be computed. All older values are not needed
// === GENERATE SIGNALS ===
"signal_sets": [
{
// Combine two unsigned scores into one signed score
"generator": "combine", "config": {
"columns": ["high_20_lc", "low_20_lc"], // 2 columns: with grow score and fall score
"names": "trade_score", // Output column name: positive values - buy, negative values - sell
"combine": "difference", // "no_combine" (or empty), "relative", "difference"
"coefficient": 1.0, "constant": 0.0 // Normalize
}},
{
// Generate boolean buy-sell column depending on thresholds
"generator": "threshold_rule", "config": {
"columns": "trade_score",
"names": ["buy_signal_column", "sell_signal_column"], // Output boolean columns
"parameters": {
"buy_signal_threshold": 0.015,
"sell_signal_threshold": -0.015
}
}}
],
// === OUTPUTS ===
"output_sets": [
{"generator": "score_notification_model", "config": {
"score_notification": true,
"score_column_names": ["trade_score"],
"notify_band_up": true,
"notify_band_dn": true,
"positive_bands": [
{"edge": 0.015, "frequency": 2, "sign": "〉〉〉📈", "bold": true, "text": "BUY ZONE"},
{"edge": 0.01, "frequency": 5, "sign": "〉〉", "bold": false, "text": "strong"},
{"edge": 0.005, "frequency": 10, "sign": "〉", "text": "weak"}
],
"negative_bands": [
{"edge": -0.005, "frequency": 10, "sign": "〈", "text": "weak"},
{"edge": -0.01, "frequency": 5, "sign": "〈〈", "bold": false, "text": "strong"},
{"edge": -0.015, "frequency": 2, "sign": "〈〈〈📉", "bold": true, "text": "SELL ZONE"}
]
}},
{"generator": "diagram_notification_model", "config": {
// Regularly sending historic data with prices, scores and buy-sell trade decisions
"diagram_notification": true,
"notification_freq": "1D",
"score_column_names": "trade_score",
"score_thresholds":[-0.015, 0.015],
// 5 minutes aggregation and this number of 5 minute intervals
"resampling_freq": "5min", "nrows": 288
}},
{"generator": "trader_simulation", "config": {
"buy_signal_column":"buy_signal_column",
"sell_signal_column": "sell_signal_column"
}}
//{"generator": "trader_binance", "config": {
// "buy_signal_column":"buy_signal_column",
// "sell_signal_column": "sell_signal_column"
//"no_trades_only_data_processing": false,
//"test_order_before_submit": false,
//"simulate_order_execution": false,
//"percentage_used_for_trade": 99.0, // How much should be used in orders
//"limit_price_adjustment": 0.001, // Limit order price relative to the latest close price
//}}
],
// === FINDING BEST TRADE PARAMETERS ===
"simulate_model": {
"data_start": 0,
"data_end": null,
"direction": "long",
"topn_to_store": 10,
"signal_generator": "threshold_rule", // generator in the signal_sets section
"buy_sell_equal": false,
"grid": {
"buy_signal_threshold": [0.02, 0.03, 0.04, 0.05, 0.1, 0.15],
"sell_signal_threshold": [-0.02, -0.03, -0.04, -0.05, -0.1, -0.15]
}
},
"rolling_predict": {
// int, null or string with date which will be resolved using time_column and removed from source data
"data_start": "2020-02-01 00:00:00",
"data_end": null,
// One of these 3 parameters can be null and will be computed from the other two
"prediction_start": null, // First row for starting predictions, for example, "2022-02-01 00:00:00"
"prediction_size": 10080, // How many predictions, for example, 1 week 7*1440
"prediction_steps": 4, // How many train-prediction steps
"use_multiprocessing": false,
"max_workers": 8
}
}