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feat: add freqAI remaining parameters
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@@ -975,15 +975,56 @@ CONF_SCHEMA = {
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"freqai": {
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"type": "object",
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"properties": {
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"enabled": {"type": "boolean", "default": False},
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"keras": {"type": "boolean", "default": False},
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"write_metrics_to_disk": {"type": "boolean", "default": False},
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"purge_old_models": {"type": ["boolean", "number"], "default": 2},
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"conv_width": {"type": "integer", "default": 1},
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"train_period_days": {"type": "integer", "default": 0},
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"backtest_period_days": {"type": "number", "default": 7},
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"identifier": {"type": "string", "default": "example"},
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"enabled": {
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"description": "Whether freqAI is enabled.",
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"type": "boolean",
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"default": False,
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},
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"keras": {
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"description": "Use Keras for model training.",
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"type": "boolean",
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"default": False,
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},
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"write_metrics_to_disk": {
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"description": "Write metrics to disk?",
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"type": "boolean",
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"default": False,
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},
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"purge_old_models": {
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"description": "Number of models to keep on disk.",
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"type": ["boolean", "number"],
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"default": 2,
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},
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"conv_width": {
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"description": "The width of a neural network input tensor.",
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"type": "integer",
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"default": 1,
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},
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"train_period_days": {
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"description": (
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"Number of days to use for the training data (width of the sliding window)"
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),
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"type": "integer",
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"default": 0,
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},
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"backtest_period_days": {
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"description": (
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"Number of days to inference from the trained model before sliding the "
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"`train_period_days` window "
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),
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"type": "number",
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"default": 7,
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},
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"identifier": {
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"description": (
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"A unique ID for the current model. "
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"Must be changed when modifying features."
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),
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"type": "string",
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"default": "example",
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},
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"feature_parameters": {
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"description": "The parameters used to engineer the feature set",
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"type": "object",
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"properties": {
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"include_corr_pairlist": {
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