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synced 2026-07-13 15:56:57 +08:00
Update doc strings and fix
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@@ -26,7 +26,9 @@ class BaseStrategy:
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def generate_order_list(self, score_series, current, trade_exchange, pred_date, trade_date):
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"""
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Parameters:
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DO NOT directly change the state of current
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Parameters
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-----------
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score_series : pd.Seires
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stock_id , score
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@@ -39,14 +41,13 @@ class BaseStrategy:
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predict date
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trade_date : pd.Timestamp
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trade date
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DO NOT directly change the state of current
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"""
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pass
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def update(self, score_series, pred_date, trade_date):
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"""User can use this method to update strategy state each trade date.
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Parameters:
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Parameters
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-----------
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score_series : pd.Series
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stock_id , score
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@@ -98,8 +99,9 @@ class AdjustTimer:
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"""AdjustTimer
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Responsible for timing of position adjusting
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This is designed as multiple inheritance mechanism due to
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This is designed as multiple inheritance mechanism due to:
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- the is_adjust may need access to the internel state of a strategy
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- it can be reguard as a enhancement to the existing strategy
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"""
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@@ -140,21 +142,24 @@ class WeightStrategyBase(BaseStrategy, AdjustTimer):
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def generate_target_weight_position(self, score, current, trade_date):
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"""
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Parameters:
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Generate target position from score for this date and the current position.The cash is not considered in the position
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Parameters
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-----------
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score : pred score for this trade date, pd.Series, index is stock_id, contain 'score' column
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current : current position, use Position() class
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score : pd.Series
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pred score for this trade date, index is stock_id, contain 'score' column
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current : Position()
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current position
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trade_exchange : Exchange()
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trade_date : trade date
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generate target position from score for this date and the current position
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The cash is not considered in the position
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trade_date : pd.Timestamp
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trade date
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"""
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raise NotImplementedError()
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def generate_order_list(self, score_series, current, trade_exchange, pred_date, trade_date):
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"""
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Parameters:
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----------
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Parameters
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-----------
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score_series : pd.Seires
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stock_id , score
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current : Position()
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@@ -188,7 +193,7 @@ class WeightStrategyBase(BaseStrategy, AdjustTimer):
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class TopkDropoutStrategy(BaseStrategy, ListAdjustTimer):
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def __init__(self, topk, n_drop, method="bottom", risk_degree=0.95, thresh=1, hold_thresh=1, **kwargs):
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"""
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Parameters:
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Parameters
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-----------
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topk : int
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The number of stocks in the portfolio
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@@ -229,7 +234,7 @@ class TopkDropoutStrategy(BaseStrategy, ListAdjustTimer):
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"""
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Gnererate order list according to score_series at trade_date, will not change current.
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Parameters:
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Parameters
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-----------
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score_series : pd.Series
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stock_id , score
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