From 19148be9f07c0653c6b47a9b6ef3686a55bff8cc Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=BB=A1=E8=84=B8=E5=B0=8F=E6=98=9F=E6=98=9F?= Date: Tue, 18 Nov 2025 16:50:31 +0800 Subject: [PATCH] commit; --- data/sample_portfolio.csv | 21 + src/app.py | 51 +- src/quantitative_analysis/0020.HK.csv | 724 ------------------ .../processed_stocks_24.0.csv | 440 ----------- .../processed_stocks_25.0.csv | 440 ----------- .../processed_stocks_26.0.csv | 440 ----------- .../processed_stocks_27.0.csv | 440 ----------- .../processed_stocks_28.0.csv | 340 -------- .../processed_stocks_29.0.csv | 341 --------- .../processed_stocks_30.0.csv | 341 --------- .../analysis_summary/skipped_stocks_24.0.csv | 62 -- .../analysis_summary/skipped_stocks_25.0.csv | 62 -- .../analysis_summary/skipped_stocks_26.0.csv | 62 -- .../analysis_summary/skipped_stocks_27.0.csv | 62 -- .../analysis_summary/skipped_stocks_28.0.csv | 162 ---- .../analysis_summary/skipped_stocks_29.0.csv | 161 ---- .../analysis_summary/skipped_stocks_30.0.csv | 161 ---- src/results/temp/profit_24.0.csv | 2 - src/results/temp/profit_25.0.csv | 2 - src/results/temp/profit_26.0.csv | 2 - src/results/temp/profit_27.0.csv | 2 - src/results/temp/profit_28.0.csv | 2 - src/results/temp/profit_29.0.csv | 2 - src/results/temp/profit_30.0.csv | 2 - .../concept_moneyflow_ths_collector.py | 221 ++++++ .../industry_moneyflow_ths_collector.py | 220 ++++++ .../moneyflow_ths_collector.py | 343 +++++++++ .../stock_factor_pro_collector.py | 2 +- src/valuation_analysis/financial_analysis.py | 5 +- src/valuation_analysis/industry_analysis.py | 64 +- 30 files changed, 906 insertions(+), 4273 deletions(-) create mode 100644 data/sample_portfolio.csv delete mode 100644 src/quantitative_analysis/0020.HK.csv delete mode 100644 src/results/analysis_summary/processed_stocks_24.0.csv delete mode 100644 src/results/analysis_summary/processed_stocks_25.0.csv delete mode 100644 src/results/analysis_summary/processed_stocks_26.0.csv delete mode 100644 src/results/analysis_summary/processed_stocks_27.0.csv delete mode 100644 src/results/analysis_summary/processed_stocks_28.0.csv delete mode 100644 src/results/analysis_summary/processed_stocks_29.0.csv delete mode 100644 src/results/analysis_summary/processed_stocks_30.0.csv delete mode 100644 src/results/analysis_summary/skipped_stocks_24.0.csv delete mode 100644 src/results/analysis_summary/skipped_stocks_25.0.csv delete mode 100644 src/results/analysis_summary/skipped_stocks_26.0.csv delete mode 100644 src/results/analysis_summary/skipped_stocks_27.0.csv delete mode 100644 src/results/analysis_summary/skipped_stocks_28.0.csv delete mode 100644 src/results/analysis_summary/skipped_stocks_29.0.csv delete mode 100644 src/results/analysis_summary/skipped_stocks_30.0.csv delete mode 100644 src/results/temp/profit_24.0.csv delete mode 100644 src/results/temp/profit_25.0.csv delete mode 100644 src/results/temp/profit_26.0.csv delete mode 100644 src/results/temp/profit_27.0.csv delete mode 100644 src/results/temp/profit_28.0.csv delete mode 100644 src/results/temp/profit_29.0.csv delete mode 100644 src/results/temp/profit_30.0.csv create mode 100644 src/tushare_scripts/concept_moneyflow_ths_collector.py create mode 100644 src/tushare_scripts/industry_moneyflow_ths_collector.py create mode 100644 src/tushare_scripts/moneyflow_ths_collector.py diff --git a/data/sample_portfolio.csv b/data/sample_portfolio.csv new file mode 100644 index 0000000..2a9f815 --- /dev/null +++ b/data/sample_portfolio.csv @@ -0,0 +1,21 @@ +symbol,buy_date +SH600522,2022-06-15 +SH600522,2022-07-20 +SH600522,2022-08-10 +SZ002340,2022-06-20 +SZ002340,2022-09-05 +SZ000733,2022-07-01 +SZ000733,2022-08-15 +SZ000733,2022-09-10 +SZ000733,2022-10-05 +SZ000733,2022-11-15 +SZ000733,2022-12-10 +SH601615,2022-08-01 +SH601615,2022-09-20 +SH600157,2022-09-01 +SH600157,2022-10-15 +SH688005,2022-07-10 +SH600903,2022-08-25 +SH600956,2022-09-12 +SH601187,2022-10-20 +SH603983,2022-11-05 \ No newline at end of file diff --git a/src/app.py b/src/app.py index 64c1e17..e972060 100644 --- a/src/app.py +++ b/src/app.py @@ -67,6 +67,9 @@ from src.tushare_scripts.us_daily_data_collector import collect_us_daily_data # 导入Tushare其他数据采集器 from src.tushare_scripts.auction_data_collector import collect_auction_data from src.tushare_scripts.chip_data_collector import collect_chip_data +from src.tushare_scripts.concept_moneyflow_ths_collector import collect_concept_moneyflow_ths +from src.tushare_scripts.industry_moneyflow_ths_collector import collect_industry_moneyflow_ths +from src.tushare_scripts.moneyflow_ths_collector import collect_moneyflow_ths from src.tushare_scripts.chip_distribution_collector import collect_chip_distribution from src.tushare_scripts.stock_factor_collector import collect_stock_factor from src.tushare_scripts.stock_factor_pro_collector import collect_stock_factor_pro @@ -396,15 +399,57 @@ def run_chip_data_collection(): "message": str(e) }), 500 +@app.route('/scheduler/conceptMoneyflow/collection', methods=['GET']) +def run_concept_moneyflow_collection(): + """执行同花顺概念板块资金流向采集任务""" + try: + logger.info("开始执行同花顺概念板块资金流向采集任务") + db_url = 'mysql+pymysql://fac_pattern:Chlry$%.8pattern@192.168.16.150:3306/factordb_mysql' + collect_concept_moneyflow_ths(db_url, TUSHARE_TOKEN, mode='daily') + + logger.info("同花顺概念板块资金流向采集任务完成") + return jsonify({"status": "success", "message": "概念板块资金流向采集完成"}), 200 + + except Exception as e: + logger.error(f"启动概念板块资金流向采集任务失败: {str(e)}") + return jsonify({"status": "error", "message": str(e)}), 500 + + +@app.route('/scheduler/industryMoneyflow/collection', methods=['GET']) +def run_industry_moneyflow_collection(): + """执行同花顺行业资金流向采集任务""" + try: + logger.info("开始执行同花顺行业资金流向采集任务") + db_url = 'mysql+pymysql://fac_pattern:Chlry$%.8pattern@192.168.16.150:3306/factordb_mysql' + collect_industry_moneyflow_ths(db_url, TUSHARE_TOKEN, mode='daily') + return jsonify({"status": "success", "message": "行业资金流向采集完成"}), 200 + + except Exception as e: + logger.error(f"启动行业资金流向采集任务失败: {str(e)}") + return jsonify({"status": "error", "message": str(e)}), 500 + + +@app.route('/scheduler/stockMoneyflow/collection', methods=['GET']) +def run_stock_moneyflow_collection(): + """执行个股资金流向采集任务""" + try: + logger.info("开始执行个股资金流向采集任务") + db_url = 'mysql+pymysql://fac_pattern:Chlry$%.8pattern@192.168.16.150:3306/factordb_mysql' + collect_moneyflow_ths(db_url, TUSHARE_TOKEN, mode='daily') + + logger.info("个股资金流向采集任务完成") + return jsonify({"status": "success", "message": "个股资金流向采集完成"}), 200 + + except Exception as e: + logger.error(f"启动个股资金流向采集任务失败: {str(e)}") + return jsonify({"status": "error", "message": str(e)}), 500 + @app.route('/scheduler/chipDistribution/collection', methods=['GET']) def run_chip_distribution_collection(): """执行每日筹码分布数据采集任务（使用Tushare数据源）每天17:30后执行""" try: logger.info("开始执行每日筹码分布数据采集（Tushare）") - # 获取当天日期 - today = datetime.now().strftime('%Y-%m-%d') - # 定义数据库连接地址 db_url = 'mysql+pymysql://fac_pattern:Chlry$%.8pattern@192.168.16.150:3306/factordb_mysql' diff --git a/src/quantitative_analysis/0020.HK.csv b/src/quantitative_analysis/0020.HK.csv deleted file mode 100644 index dd43f0e..0000000 --- a/src/quantitative_analysis/0020.HK.csv +++ /dev/null @@ -1,724 +0,0 @@ -代码,日期,开盘价(元),最高价(元),最低价(元),收盘价(元),涨跌幅 -0020.HK,2022-07-05,2.4,2.78,2.38,2.75,0.0827 -0020.HK,2022-07-06,2.77,2.79,2.53,2.6,-0.0545 -0020.HK,2022-07-07,2.56,2.68,2.56,2.6,0 -0020.HK,2022-07-08,2.64,2.69,2.54,2.58,-0.0077 -0020.HK,2022-07-11,2.6,2.6,2.52,2.54,-0.0155 -0020.HK,2022-07-12,2.5,2.52,2.4,2.43,-0.0433 -0020.HK,2022-07-13,2.45,2.48,2.38,2.39,-0.0165 -0020.HK,2022-07-14,2.36,2.38,2.25,2.29,-0.0418 -0020.HK,2022-07-15,2.28,2.36,2.15,2.16,-0.0568 -0020.HK,2022-07-18,2.13,2.23,2.11,2.14,-0.0093 -0020.HK,2022-07-19,2.14,2.17,2.04,2.1,-0.0187 -0020.HK,2022-07-20,2.18,2.42,2.17,2.33,0.1095 -0020.HK,2022-07-21,2.33,2.46,2.29,2.39,0.0258 -0020.HK,2022-07-22,2.41,2.49,2.39,2.43,0.0167 -0020.HK,2022-07-25,2.41,2.43,2.34,2.4,-0.0123 -0020.HK,2022-07-26,2.31,2.34,2.19,2.27,-0.0542 -0020.HK,2022-07-27,2.23,2.37,2.22,2.34,0.0308 -0020.HK,2022-07-28,2.38,2.5,2.37,2.47,0.0556 -0020.HK,2022-07-29,2.5,2.52,2.3,2.33,-0.0567 -0020.HK,2022-08-01,2.32,2.35,2.26,2.28,-0.0215 -0020.HK,2022-08-02,2.22,2.22,2.12,2.17,-0.0482 -0020.HK,2022-08-03,2.22,2.33,2.19,2.2,0.0138 -0020.HK,2022-08-04,2.24,2.25,2.18,2.2,0 -0020.HK,2022-08-05,2.23,2.24,2.18,2.23,0.0136 -0020.HK,2022-08-08,2.25,2.26,2.2,2.2,-0.0135 -0020.HK,2022-08-09,2.2,2.23,2.18,2.19,-0.0045 -0020.HK,2022-08-10,2.2,2.21,2.14,2.16,-0.0137 -0020.HK,2022-08-11,2.19,2.21,2.16,2.19,0.0139 -0020.HK,2022-08-12,2.19,2.29,2.19,2.23,0.0183 -0020.HK,2022-08-15,2.26,2.29,2.23,2.25,0.009 -0020.HK,2022-08-16,2.25,2.28,2.18,2.2,-0.0222 -0020.HK,2022-08-17,2.2,2.22,2.16,2.16,-0.0182 -0020.HK,2022-08-18,2.18,2.18,2.06,2.08,-0.037 -0020.HK,2022-08-19,2.09,2.13,2.06,2.1,0.0096 -0020.HK,2022-08-22,2.15,2.22,2.12,2.19,0.0429 -0020.HK,2022-08-23,2.18,2.23,2.16,2.2,0.0046 -0020.HK,2022-08-24,2.21,2.3,2.21,2.24,0.0182 -0020.HK,2022-08-25,2.25,2.35,2.24,2.35,0.0491 -0020.HK,2022-08-26,2.34,2.34,2.26,2.29,-0.0255 -0020.HK,2022-08-29,2.23,2.32,2.21,2.29,0 -0020.HK,2022-08-30,2.29,2.34,2.27,2.31,0.0087 -0020.HK,2022-08-31,2.28,2.49,2.26,2.47,0.0693 -0020.HK,2022-09-01,2.47,2.49,2.36,2.39,-0.0324 -0020.HK,2022-09-02,2.38,2.39,2.25,2.26,-0.0544 -0020.HK,2022-09-05,2.25,2.35,2.25,2.29,0.0133 -0020.HK,2022-09-06,2.29,2.35,2.29,2.32,0.0131 -0020.HK,2022-09-07,2.29,2.31,2.26,2.29,-0.0129 -0020.HK,2022-09-08,2.3,2.35,2.26,2.29,0 -0020.HK,2022-09-09,2.28,2.35,2.28,2.28,-0.0044 -0020.HK,2022-09-13,2.3,2.3,2.15,2.17,-0.0482 -0020.HK,2022-09-14,2.11,2.14,2.09,2.13,-0.0184 -0020.HK,2022-09-15,2.12,2.15,2.07,2.08,-0.0235 -0020.HK,2022-09-16,2.05,2.06,1.99,2,-0.0385 -0020.HK,2022-09-19,1.98,1.98,1.85,1.91,-0.045 -0020.HK,2022-09-20,1.94,1.98,1.92,1.94,0.0157 -0020.HK,2022-09-21,1.93,1.99,1.89,1.9,-0.0206 -0020.HK,2022-09-22,1.89,1.95,1.84,1.94,0.0211 -0020.HK,2022-09-23,1.94,1.99,1.91,1.94,0 -0020.HK,2022-09-26,1.91,1.96,1.84,1.87,-0.0361 -0020.HK,2022-09-27,1.86,1.87,1.81,1.84,-0.016 -0020.HK,2022-09-28,1.82,1.83,1.72,1.73,-0.0598 -0020.HK,2022-09-29,1.78,1.79,1.58,1.63,-0.0578 -0020.HK,2022-09-30,1.63,1.67,1.57,1.6,-0.0184 -0020.HK,2022-10-03,1.57,1.64,1.56,1.61,0.0063 -0020.HK,2022-10-05,1.67,1.77,1.67,1.72,0.0683 -0020.HK,2022-10-06,1.71,1.75,1.65,1.66,-0.0349 -0020.HK,2022-10-07,1.66,1.66,1.58,1.59,-0.0422 -0020.HK,2022-10-10,1.54,1.56,1.49,1.5,-0.0566 -0020.HK,2022-10-11,1.5,1.53,1.32,1.33,-0.1133 -0020.HK,2022-10-12,1.33,1.34,1.2,1.28,-0.0376 -0020.HK,2022-10-13,1.3,1.32,1.2,1.21,-0.0547 -0020.HK,2022-10-14,1.25,1.28,1.21,1.24,0.0248 -0020.HK,2022-10-17,1.21,1.29,1.2,1.27,0.0242 -0020.HK,2022-10-18,1.3,1.37,1.27,1.35,0.063 -0020.HK,2022-10-19,1.34,1.34,1.27,1.29,-0.0444 -0020.HK,2022-10-20,1.25,1.31,1.22,1.28,-0.0078 -0020.HK,2022-10-21,1.29,1.31,1.25,1.26,-0.0156 -0020.HK,2022-10-24,1.26,1.29,1.13,1.17,-0.0714 -0020.HK,2022-10-25,1.2,1.26,1.11,1.21,0.0342 -0020.HK,2022-10-26,1.21,1.3,1.2,1.29,0.0661 -0020.HK,2022-10-27,1.34,1.35,1.24,1.26,-0.0233 -0020.HK,2022-10-28,1.26,1.28,1.18,1.19,-0.0556 -0020.HK,2022-10-31,1.2,1.26,1.18,1.19,0 -0020.HK,2022-11-01,1.21,1.29,1.18,1.28,0.0756 -0020.HK,2022-11-02,1.28,1.33,1.25,1.28,0 -0020.HK,2022-11-03,1.25,1.3,1.23,1.24,-0.0313 -0020.HK,2022-11-04,1.26,1.38,1.25,1.33,0.0726 -0020.HK,2022-11-07,1.34,1.8,1.33,1.8,0.3534 -0020.HK,2022-11-08,1.84,2.04,1.72,1.75,-0.0278 -0020.HK,2022-11-09,1.78,1.89,1.65,1.69,-0.0343 -0020.HK,2022-11-10,1.64,1.65,1.53,1.57,-0.071 -0020.HK,2022-11-11,1.78,1.82,1.65,1.7,0.0828 -0020.HK,2022-11-14,1.76,1.87,1.71,1.75,0.0294 -0020.HK,2022-11-15,1.69,1.85,1.63,1.79,0.0229 -0020.HK,2022-11-16,1.78,2.1,1.76,2.02,0.1285 -0020.HK,2022-11-17,2,2.2,1.88,2.13,0.0545 -0020.HK,2022-11-18,2.18,2.24,2.01,2.01,-0.0563 -0020.HK,2022-11-21,1.98,1.98,1.89,1.94,-0.0348 -0020.HK,2022-11-22,1.94,2.02,1.87,1.87,-0.0361 -0020.HK,2022-11-23,1.9,1.96,1.81,1.84,-0.016 -0020.HK,2022-11-24,1.87,1.89,1.81,1.85,0.0054 -0020.HK,2022-11-25,1.86,1.86,1.74,1.77,-0.0432 -0020.HK,2022-11-28,1.69,1.75,1.65,1.73,-0.0226 -0020.HK,2022-11-29,1.78,1.85,1.75,1.83,0.0578 -0020.HK,2022-11-30,1.86,1.97,1.84,1.91,0.0437 -0020.HK,2022-12-01,2,2.02,1.93,1.94,0.0157 -0020.HK,2022-12-02,1.95,2.02,1.91,2.01,0.0361 -0020.HK,2022-12-05,2.08,2.17,2.05,2.13,0.0597 -0020.HK,2022-12-06,2.08,2.13,2.04,2.06,-0.0329 -0020.HK,2022-12-07,2.06,2.46,2.05,2.2,0.068 -0020.HK,2022-12-08,2.26,2.39,2.19,2.37,0.0773 -0020.HK,2022-12-09,2.38,2.47,2.28,2.4,0.0127 -0020.HK,2022-12-12,2.34,2.54,2.25,2.28,-0.05 -0020.HK,2022-12-13,2.31,2.37,2.26,2.3,0.0088 -0020.HK,2022-12-14,2.31,2.35,2.19,2.27,-0.013 -0020.HK,2022-12-15,2.27,2.27,2.11,2.14,-0.0573 -0020.HK,2022-12-16,2.12,2.16,2.05,2.12,-0.0093 -0020.HK,2022-12-19,2.13,2.2,2.1,2.13,0.0047 -0020.HK,2022-12-20,2.1,2.12,2.05,2.09,-0.0188 -0020.HK,2022-12-21,2.11,2.16,2.11,2.16,0.0335 -0020.HK,2022-12-22,2.23,2.24,2.17,2.21,0.0231 -0020.HK,2022-12-23,2.16,2.21,2.14,2.16,-0.0226 -0020.HK,2022-12-28,2.18,2.31,2.18,2.29,0.0602 -0020.HK,2022-12-29,2.23,2.29,2.17,2.18,-0.048 -0020.HK,2022-12-30,2.25,2.25,2.18,2.22,0.0183 -0020.HK,2023-01-03,2.19,2.22,2.08,2.19,-0.0135 -0020.HK,2023-01-04,2.21,2.3,2.2,2.3,0.0502 -0020.HK,2023-01-05,2.35,2.37,2.26,2.26,-0.0174 -0020.HK,2023-01-06,2.27,2.28,2.11,2.15,-0.0487 -0020.HK,2023-01-09,2.18,2.23,2.15,2.19,0.0186 -0020.HK,2023-01-10,2.19,2.21,2.14,2.21,0.0091 -0020.HK,2023-01-11,2.23,2.34,2.18,2.22,0.0045 -0020.HK,2023-01-12,2.25,2.25,2.14,2.16,-0.027 -0020.HK,2023-01-13,2.17,2.22,2.15,2.22,0.0278 -0020.HK,2023-01-16,2.23,2.25,2.17,2.18,-0.018 -0020.HK,2023-01-17,2.18,2.19,2.11,2.13,-0.0229 -0020.HK,2023-01-18,2.11,2.16,2.1,2.13,0 -0020.HK,2023-01-19,2.11,2.13,2.08,2.11,-0.0094 -0020.HK,2023-01-20,2.1,2.17,2.1,2.17,0.0284 -0020.HK,2023-01-26,2.2,2.27,2.19,2.26,0.0415 -0020.HK,2023-01-27,2.34,2.74,2.31,2.71,0.1991 -0020.HK,2023-01-30,2.72,2.85,2.59,2.75,0.0148 -0020.HK,2023-01-31,2.78,2.84,2.62,2.84,0.0327 -0020.HK,2023-02-01,2.89,3.1,2.86,2.94,0.0352 -0020.HK,2023-02-02,3,3.07,2.71,2.73,-0.0714 -0020.HK,2023-02-03,2.74,2.88,2.74,2.82,0.033 -0020.HK,2023-02-06,2.79,3.03,2.75,3,0.0638 -0020.HK,2023-02-07,2.99,3.06,2.86,2.88,-0.04 -0020.HK,2023-02-08,2.87,2.88,2.68,2.69,-0.066 -0020.HK,2023-02-09,2.65,2.8,2.61,2.78,0.0335 -0020.HK,2023-02-10,2.75,2.81,2.68,2.69,-0.0324 -0020.HK,2023-02-13,2.66,2.71,2.6,2.67,-0.0074 -0020.HK,2023-02-14,2.73,2.79,2.7,2.74,0.0262 -0020.HK,2023-02-15,2.78,2.86,2.69,2.73,-0.0036 -0020.HK,2023-02-16,2.76,2.82,2.63,2.65,-0.0293 -0020.HK,2023-02-17,2.66,2.7,2.48,2.5,-0.0566 -0020.HK,2023-02-20,2.5,2.56,2.46,2.48,-0.008 -0020.HK,2023-02-21,2.5,2.57,2.48,2.49,0.004 -0020.HK,2023-02-22,2.46,2.49,2.37,2.42,-0.0281 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b/src/results/analysis_summary/skipped_stocks_24.0.csv deleted file mode 100644 index 71faef8..0000000 --- a/src/results/analysis_summary/skipped_stocks_24.0.csv +++ /dev/null @@ -1,62 +0,0 @@ -symbol,reason,take_profit_pct -SH600157,no_valid_signals,0.23999999999999994 -SH601077,no_valid_signals,0.23999999999999994 -SZ002013,empty_data,0.23999999999999994 -SZ002673,no_valid_signals,0.23999999999999994 -SH601128,no_valid_signals,0.23999999999999994 -SH600177,no_valid_signals,0.23999999999999994 -SH600739,no_valid_signals,0.23999999999999994 -SH688208,no_valid_signals,0.23999999999999994 -SH688002,no_valid_signals,0.23999999999999994 -SH601997,no_valid_signals,0.23999999999999994 -SZ000636,no_valid_signals,0.23999999999999994 -SZ002936,no_valid_signals,0.23999999999999994 -SH600867,no_valid_signals,0.23999999999999994 -SH600008,no_valid_signals,0.23999999999999994 -SZ000999,no_valid_signals,0.23999999999999994 -SZ002002,empty_data,0.23999999999999994 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-SH600466,empty_data,0.23999999999999994 -SH601665,insufficient_history_211days,0.23999999999999994 -SH603868,no_valid_signals,0.23999999999999994 diff --git a/src/results/analysis_summary/skipped_stocks_25.0.csv b/src/results/analysis_summary/skipped_stocks_25.0.csv deleted file mode 100644 index 1b8914a..0000000 --- a/src/results/analysis_summary/skipped_stocks_25.0.csv +++ /dev/null @@ -1,62 +0,0 @@ -symbol,reason,take_profit_pct -SH600157,no_valid_signals,0.24999999999999994 -SH601077,no_valid_signals,0.24999999999999994 -SZ002013,empty_data,0.24999999999999994 -SZ002673,no_valid_signals,0.24999999999999994 -SH601128,no_valid_signals,0.24999999999999994 -SH600177,no_valid_signals,0.24999999999999994 -SH600739,no_valid_signals,0.24999999999999994 -SH688208,no_valid_signals,0.24999999999999994 -SH688002,no_valid_signals,0.24999999999999994 -SH601997,no_valid_signals,0.24999999999999994 -SZ000636,no_valid_signals,0.24999999999999994 -SZ002936,no_valid_signals,0.24999999999999994 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-SZ000046,empty_data,0.24999999999999994 -SH601156,insufficient_history_217days,0.24999999999999994 -SZ001203,insufficient_history_239days,0.24999999999999994 -SH601568,no_valid_signals,0.24999999999999994 -SH600466,empty_data,0.24999999999999994 -SH601665,insufficient_history_211days,0.24999999999999994 -SH603868,no_valid_signals,0.24999999999999994 diff --git a/src/results/analysis_summary/skipped_stocks_26.0.csv b/src/results/analysis_summary/skipped_stocks_26.0.csv deleted file mode 100644 index d536560..0000000 --- a/src/results/analysis_summary/skipped_stocks_26.0.csv +++ /dev/null @@ -1,62 +0,0 @@ -symbol,reason,take_profit_pct -SH600157,no_valid_signals,0.25999999999999995 -SH601077,no_valid_signals,0.25999999999999995 -SZ002013,empty_data,0.25999999999999995 -SZ002673,no_valid_signals,0.25999999999999995 -SH601128,no_valid_signals,0.25999999999999995 -SH600177,no_valid_signals,0.25999999999999995 -SH600739,no_valid_signals,0.25999999999999995 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-SH601975,no_valid_signals,0.26999999999999996 -SZ000718,no_valid_signals,0.26999999999999996 -SH600062,no_valid_signals,0.26999999999999996 -SH600901,no_valid_signals,0.26999999999999996 -SH600717,no_valid_signals,0.26999999999999996 -SZ002468,no_valid_signals,0.26999999999999996 -SZ000717,no_valid_signals,0.26999999999999996 -SZ000869,no_valid_signals,0.26999999999999996 -SH601828,no_valid_signals,0.26999999999999996 -SH601969,no_valid_signals,0.26999999999999996 -SZ000046,empty_data,0.26999999999999996 -SH601156,insufficient_history_217days,0.26999999999999996 -SZ001203,insufficient_history_239days,0.26999999999999996 -SH601568,no_valid_signals,0.26999999999999996 -SH600466,empty_data,0.26999999999999996 -SH601665,insufficient_history_211days,0.26999999999999996 -SH603868,no_valid_signals,0.26999999999999996 diff --git a/src/results/analysis_summary/skipped_stocks_28.0.csv b/src/results/analysis_summary/skipped_stocks_28.0.csv deleted file mode 100644 index e25a367..0000000 --- a/src/results/analysis_summary/skipped_stocks_28.0.csv +++ /dev/null @@ -1,162 +0,0 @@ -symbol,reason,take_profit_pct -SZ002340,no_valid_signals,0.27999999999999997 -SH600157,no_valid_signals,0.27999999999999997 -SZ000723,no_valid_signals,0.27999999999999997 -SZ000009,no_valid_signals,0.27999999999999997 -SH601555,no_valid_signals,0.27999999999999997 -SH600884,no_valid_signals,0.27999999999999997 -SH600298,no_valid_signals,0.27999999999999997 -SZ002028,no_valid_signals,0.27999999999999997 -SZ300363,no_valid_signals,0.27999999999999997 -SH601077,no_valid_signals,0.27999999999999997 -SZ002013,empty_data,0.27999999999999997 -SH603267,no_valid_signals,0.27999999999999997 -SZ000728,no_valid_signals,0.27999999999999997 -SH600486,no_valid_signals,0.27999999999999997 -SZ002797,no_valid_signals,0.27999999999999997 -SH603077,no_valid_signals,0.27999999999999997 -SZ002673,no_valid_signals,0.27999999999999997 -SH601128,no_valid_signals,0.27999999999999997 -SH600482,no_valid_signals,0.27999999999999997 -SH600733,no_valid_signals,0.27999999999999997 -SH600177,no_valid_signals,0.27999999999999997 -SH600739,no_valid_signals,0.27999999999999997 -SZ002191,no_valid_signals,0.27999999999999997 -SZ002603,no_valid_signals,0.27999999999999997 -SH688002,no_valid_signals,0.27999999999999997 -SH600497,no_valid_signals,0.27999999999999997 -SH601997,no_valid_signals,0.27999999999999997 -SH600038,no_valid_signals,0.27999999999999997 -SH600369,no_valid_signals,0.27999999999999997 -SZ002936,no_valid_signals,0.27999999999999997 -SH601016,no_valid_signals,0.27999999999999997 -SZ000825,no_valid_signals,0.27999999999999997 -SH600879,no_valid_signals,0.27999999999999997 -SH600039,no_valid_signals,0.27999999999999997 -SZ300618,no_valid_signals,0.27999999999999997 -SZ000750,no_valid_signals,0.27999999999999997 -SH600170,no_valid_signals,0.27999999999999997 -SH600867,no_valid_signals,0.27999999999999997 -SZ000656,no_valid_signals,0.27999999999999997 -SZ002926,no_valid_signals,0.27999999999999997 -SH600909,no_valid_signals,0.27999999999999997 -SH600008,no_valid_signals,0.27999999999999997 -SH600580,no_valid_signals,0.27999999999999997 -SZ000999,no_valid_signals,0.27999999999999997 -SH600536,no_valid_signals,0.27999999999999997 -SH601005,no_valid_signals,0.27999999999999997 -SH600316,no_valid_signals,0.27999999999999997 -SH603707,no_valid_signals,0.27999999999999997 -SZ000027,no_valid_signals,0.27999999999999997 -SZ002002,empty_data,0.27999999999999997 -SZ002266,no_valid_signals,0.27999999999999997 -SZ002500,no_valid_signals,0.27999999999999997 -SH600801,no_valid_signals,0.27999999999999997 -SH600208,no_valid_signals,0.27999999999999997 -SZ002249,no_valid_signals,0.27999999999999997 -SH600415,no_valid_signals,0.27999999999999997 -SZ000012,no_valid_signals,0.27999999999999997 -SH601866,no_valid_signals,0.27999999999999997 -SZ002511,no_valid_signals,0.27999999999999997 -SZ000060,no_valid_signals,0.27999999999999997 -SH601992,no_valid_signals,0.27999999999999997 -SH600839,no_valid_signals,0.27999999999999997 -SZ002966,no_valid_signals,0.27999999999999997 -SH600155,no_valid_signals,0.27999999999999997 -SZ002128,no_valid_signals,0.27999999999999997 -SH600517,no_valid_signals,0.27999999999999997 -SH600985,no_valid_signals,0.27999999999999997 -SZ000778,no_valid_signals,0.27999999999999997 -SH600782,no_valid_signals,0.27999999999999997 -SZ002939,no_valid_signals,0.27999999999999997 -SZ002294,no_valid_signals,0.27999999999999997 -SZ000540,empty_data,0.27999999999999997 -SH600863,no_valid_signals,0.27999999999999997 -SZ002958,no_valid_signals,0.27999999999999997 -SH601179,no_valid_signals,0.27999999999999997 -SH600755,no_valid_signals,0.27999999999999997 -SZ000598,no_valid_signals,0.27999999999999997 -SH600297,no_valid_signals,0.27999999999999997 -SZ002701,no_valid_signals,0.27999999999999997 -SH600820,no_valid_signals,0.27999999999999997 -SH600567,no_valid_signals,0.27999999999999997 -SZ000709,no_valid_signals,0.27999999999999997 -SZ002595,empty_data,0.27999999999999997 -SZ002075,no_valid_signals,0.27999999999999997 -SZ002146,no_valid_signals,0.27999999999999997 -SH600409,no_valid_signals,0.27999999999999997 -SH600021,no_valid_signals,0.27999999999999997 -SH600827,no_valid_signals,0.27999999999999997 -SH601880,no_valid_signals,0.27999999999999997 -SH600598,no_valid_signals,0.27999999999999997 -SH600808,no_valid_signals,0.27999999999999997 -SH600022,no_valid_signals,0.27999999999999997 -SZ000987,no_valid_signals,0.27999999999999997 -SH600737,no_valid_signals,0.27999999999999997 -SZ000883,no_valid_signals,0.27999999999999997 -SH600811,no_valid_signals,0.27999999999999997 -SH601106,no_valid_signals,0.27999999999999997 -SZ002233,no_valid_signals,0.27999999999999997 -SZ002110,no_valid_signals,0.27999999999999997 -SH600967,no_valid_signals,0.27999999999999997 -SZ000898,no_valid_signals,0.27999999999999997 -SH601118,no_valid_signals,0.27999999999999997 -SZ000488,no_valid_signals,0.27999999999999997 -SZ000877,no_valid_signals,0.27999999999999997 -SH600064,no_valid_signals,0.27999999999999997 -SH601333,no_valid_signals,0.27999999999999997 -SH601200,no_valid_signals,0.27999999999999997 -SZ002081,no_valid_signals,0.27999999999999997 -SZ000089,no_valid_signals,0.27999999999999997 -SZ000559,no_valid_signals,0.27999999999999997 -SZ000959,no_valid_signals,0.27999999999999997 -SZ000528,no_valid_signals,0.27999999999999997 -SH600195,no_valid_signals,0.27999999999999997 -SZ002434,no_valid_signals,0.27999999999999997 -SZ000685,no_valid_signals,0.27999999999999997 -SZ000671,empty_data,0.27999999999999997 -SH600120,no_valid_signals,0.27999999999999997 -SZ001965,no_valid_signals,0.27999999999999997 -SH601608,no_valid_signals,0.27999999999999997 -SH600126,no_valid_signals,0.27999999999999997 -SH601611,no_valid_signals,0.27999999999999997 -SZ000758,no_valid_signals,0.27999999999999997 -SH601098,no_valid_signals,0.27999999999999997 -SH600307,no_valid_signals,0.27999999999999997 -SH601598,no_valid_signals,0.27999999999999997 -SH600643,no_valid_signals,0.27999999999999997 -SZ000563,no_valid_signals,0.27999999999999997 -SZ000718,no_valid_signals,0.27999999999999997 -SH601958,no_valid_signals,0.27999999999999997 -SH600901,no_valid_signals,0.27999999999999997 -SH600717,no_valid_signals,0.27999999999999997 -SZ000967,no_valid_signals,0.27999999999999997 -SZ002458,no_valid_signals,0.27999999999999997 -SH601860,no_valid_signals,0.27999999999999997 -SZ002563,no_valid_signals,0.27999999999999997 -SH600928,no_valid_signals,0.27999999999999997 -SH600968,no_valid_signals,0.27999999999999997 -SZ000937,no_valid_signals,0.27999999999999997 -SZ000717,no_valid_signals,0.27999999999999997 -SH600649,no_valid_signals,0.27999999999999997 -SH600648,no_valid_signals,0.27999999999999997 -SH600623,no_valid_signals,0.27999999999999997 -SH600377,no_valid_signals,0.27999999999999997 -SH601139,no_valid_signals,0.27999999999999997 -SZ000869,no_valid_signals,0.27999999999999997 -SH600871,no_valid_signals,0.27999999999999997 -SH600639,no_valid_signals,0.27999999999999997 -SH601298,no_valid_signals,0.27999999999999997 -SZ000046,empty_data,0.27999999999999997 -SZ001872,no_valid_signals,0.27999999999999997 -SH601156,no_valid_signals,0.27999999999999997 -SH603708,no_valid_signals,0.27999999999999997 -SH600350,no_valid_signals,0.27999999999999997 -SH601568,no_valid_signals,0.27999999999999997 -SH600466,empty_data,0.27999999999999997 -SH603515,no_valid_signals,0.27999999999999997 -SH601665,no_valid_signals,0.27999999999999997 -SH600917,no_valid_signals,0.27999999999999997 -SH600956,no_valid_signals,0.27999999999999997 -SH601187,no_valid_signals,0.27999999999999997 -SH603983,no_valid_signals,0.27999999999999997 diff --git a/src/results/analysis_summary/skipped_stocks_29.0.csv b/src/results/analysis_summary/skipped_stocks_29.0.csv deleted file mode 100644 index 4781b0c..0000000 --- a/src/results/analysis_summary/skipped_stocks_29.0.csv +++ /dev/null @@ -1,161 +0,0 @@ -symbol,reason,take_profit_pct -SZ002340,no_valid_signals,0.29 -SH600157,no_valid_signals,0.29 -SZ000723,no_valid_signals,0.29 -SZ000009,no_valid_signals,0.29 -SH601555,no_valid_signals,0.29 -SH600884,no_valid_signals,0.29 -SH600298,no_valid_signals,0.29 -SZ002028,no_valid_signals,0.29 -SZ300363,no_valid_signals,0.29 -SH601077,no_valid_signals,0.29 -SZ002013,empty_data,0.29 -SH603267,no_valid_signals,0.29 -SZ000728,no_valid_signals,0.29 -SH600486,no_valid_signals,0.29 -SZ002797,no_valid_signals,0.29 -SH603077,no_valid_signals,0.29 -SZ002673,no_valid_signals,0.29 -SH601128,no_valid_signals,0.29 -SH600482,no_valid_signals,0.29 -SH600733,no_valid_signals,0.29 -SH600177,no_valid_signals,0.29 -SH600739,no_valid_signals,0.29 -SZ002191,no_valid_signals,0.29 -SZ002603,no_valid_signals,0.29 -SH688002,no_valid_signals,0.29 -SH600497,no_valid_signals,0.29 -SH601997,no_valid_signals,0.29 -SH600038,no_valid_signals,0.29 -SH600369,no_valid_signals,0.29 -SZ002936,no_valid_signals,0.29 -SH601016,no_valid_signals,0.29 -SZ000825,no_valid_signals,0.29 -SH600879,no_valid_signals,0.29 -SH600039,no_valid_signals,0.29 -SZ300618,no_valid_signals,0.29 -SZ000750,no_valid_signals,0.29 -SH600170,no_valid_signals,0.29 -SH600867,no_valid_signals,0.29 -SZ000656,no_valid_signals,0.29 -SZ002926,no_valid_signals,0.29 -SH600909,no_valid_signals,0.29 -SH600008,no_valid_signals,0.29 -SH600580,no_valid_signals,0.29 -SZ000999,no_valid_signals,0.29 -SH600536,no_valid_signals,0.29 -SH601005,no_valid_signals,0.29 -SH600316,no_valid_signals,0.29 -SH603707,no_valid_signals,0.29 -SZ000027,no_valid_signals,0.29 -SZ002002,empty_data,0.29 -SZ002266,no_valid_signals,0.29 -SZ002500,no_valid_signals,0.29 -SH600801,no_valid_signals,0.29 -SH600208,no_valid_signals,0.29 -SZ002249,no_valid_signals,0.29 -SH600415,no_valid_signals,0.29 -SZ000012,no_valid_signals,0.29 -SH601866,no_valid_signals,0.29 -SZ002511,no_valid_signals,0.29 -SZ000060,no_valid_signals,0.29 -SH601992,no_valid_signals,0.29 -SH600839,no_valid_signals,0.29 -SZ002966,no_valid_signals,0.29 -SH600155,no_valid_signals,0.29 -SZ002128,no_valid_signals,0.29 -SH600517,no_valid_signals,0.29 -SH600985,no_valid_signals,0.29 -SZ000778,no_valid_signals,0.29 -SH600782,no_valid_signals,0.29 -SZ002939,no_valid_signals,0.29 -SZ002294,no_valid_signals,0.29 -SZ000540,empty_data,0.29 -SH600863,no_valid_signals,0.29 -SZ002958,no_valid_signals,0.29 -SH601179,no_valid_signals,0.29 -SH600755,no_valid_signals,0.29 -SZ000598,no_valid_signals,0.29 -SH600297,no_valid_signals,0.29 -SZ002701,no_valid_signals,0.29 -SH600820,no_valid_signals,0.29 -SH600567,no_valid_signals,0.29 -SZ000709,no_valid_signals,0.29 -SZ002075,no_valid_signals,0.29 -SZ002146,no_valid_signals,0.29 -SH600409,no_valid_signals,0.29 -SH600021,no_valid_signals,0.29 -SH600827,no_valid_signals,0.29 -SH601880,no_valid_signals,0.29 -SH600598,no_valid_signals,0.29 -SH600808,no_valid_signals,0.29 -SH600022,no_valid_signals,0.29 -SZ000987,no_valid_signals,0.29 -SH600737,no_valid_signals,0.29 -SZ000883,no_valid_signals,0.29 -SH600811,no_valid_signals,0.29 -SH601106,no_valid_signals,0.29 -SZ002233,no_valid_signals,0.29 -SZ002110,no_valid_signals,0.29 -SH600967,no_valid_signals,0.29 -SZ000898,no_valid_signals,0.29 -SH601118,no_valid_signals,0.29 -SZ000488,no_valid_signals,0.29 -SZ000877,no_valid_signals,0.29 -SH600064,no_valid_signals,0.29 -SH601333,no_valid_signals,0.29 -SH601200,no_valid_signals,0.29 -SZ002081,no_valid_signals,0.29 -SZ000089,no_valid_signals,0.29 -SZ000559,no_valid_signals,0.29 -SZ000959,no_valid_signals,0.29 -SZ000528,no_valid_signals,0.29 -SH600195,no_valid_signals,0.29 -SZ002434,no_valid_signals,0.29 -SZ000685,no_valid_signals,0.29 -SZ000671,empty_data,0.29 -SH600120,no_valid_signals,0.29 -SZ001965,no_valid_signals,0.29 -SH601608,no_valid_signals,0.29 -SH600126,no_valid_signals,0.29 -SH601611,no_valid_signals,0.29 -SZ000758,no_valid_signals,0.29 -SH601098,no_valid_signals,0.29 -SH600307,no_valid_signals,0.29 -SH601598,no_valid_signals,0.29 -SH600643,no_valid_signals,0.29 -SZ000563,no_valid_signals,0.29 -SZ000718,no_valid_signals,0.29 -SH601958,no_valid_signals,0.29 -SH600901,no_valid_signals,0.29 -SH600717,no_valid_signals,0.29 -SZ000967,no_valid_signals,0.29 -SZ002458,no_valid_signals,0.29 -SH601860,no_valid_signals,0.29 -SZ002563,no_valid_signals,0.29 -SH600928,no_valid_signals,0.29 -SH600968,no_valid_signals,0.29 -SZ000937,no_valid_signals,0.29 -SZ000717,no_valid_signals,0.29 -SH600649,no_valid_signals,0.29 -SH600648,no_valid_signals,0.29 -SH600623,no_valid_signals,0.29 -SH600377,no_valid_signals,0.29 -SH601139,no_valid_signals,0.29 -SZ000869,no_valid_signals,0.29 -SH600871,no_valid_signals,0.29 -SH600639,no_valid_signals,0.29 -SH601298,no_valid_signals,0.29 -SZ000046,empty_data,0.29 -SZ001872,no_valid_signals,0.29 -SH601156,no_valid_signals,0.29 -SH603708,no_valid_signals,0.29 -SH600350,no_valid_signals,0.29 -SH601568,no_valid_signals,0.29 -SH600466,empty_data,0.29 -SH603515,no_valid_signals,0.29 -SH601665,no_valid_signals,0.29 -SH600917,no_valid_signals,0.29 -SH600956,no_valid_signals,0.29 -SH601187,no_valid_signals,0.29 -SH603983,no_valid_signals,0.29 diff --git a/src/results/analysis_summary/skipped_stocks_30.0.csv b/src/results/analysis_summary/skipped_stocks_30.0.csv deleted file mode 100644 index 36a988d..0000000 --- a/src/results/analysis_summary/skipped_stocks_30.0.csv +++ /dev/null @@ -1,161 +0,0 @@ -symbol,reason,take_profit_pct -SZ002340,no_valid_signals,0.3 -SH600157,no_valid_signals,0.3 -SZ000723,no_valid_signals,0.3 -SZ000009,no_valid_signals,0.3 -SH601555,no_valid_signals,0.3 -SH600884,no_valid_signals,0.3 -SH600298,no_valid_signals,0.3 -SZ002028,no_valid_signals,0.3 -SZ300363,no_valid_signals,0.3 -SH601077,no_valid_signals,0.3 -SZ002013,empty_data,0.3 -SH603267,no_valid_signals,0.3 -SZ000728,no_valid_signals,0.3 -SH600486,no_valid_signals,0.3 -SZ002797,no_valid_signals,0.3 -SH603077,no_valid_signals,0.3 -SZ002673,no_valid_signals,0.3 -SH601128,no_valid_signals,0.3 -SH600482,no_valid_signals,0.3 -SH600733,no_valid_signals,0.3 -SH600177,no_valid_signals,0.3 -SH600739,no_valid_signals,0.3 -SZ002191,no_valid_signals,0.3 -SZ002603,no_valid_signals,0.3 -SH688002,no_valid_signals,0.3 -SH600497,no_valid_signals,0.3 -SH601997,no_valid_signals,0.3 -SH600038,no_valid_signals,0.3 -SH600369,no_valid_signals,0.3 -SZ002936,no_valid_signals,0.3 -SH601016,no_valid_signals,0.3 -SZ000825,no_valid_signals,0.3 -SH600879,no_valid_signals,0.3 -SH600039,no_valid_signals,0.3 -SZ300618,no_valid_signals,0.3 -SZ000750,no_valid_signals,0.3 -SH600170,no_valid_signals,0.3 -SH600867,no_valid_signals,0.3 -SZ000656,no_valid_signals,0.3 -SZ002926,no_valid_signals,0.3 -SH600909,no_valid_signals,0.3 -SH600008,no_valid_signals,0.3 -SH600580,no_valid_signals,0.3 -SZ000999,no_valid_signals,0.3 -SH600536,no_valid_signals,0.3 -SH601005,no_valid_signals,0.3 -SH600316,no_valid_signals,0.3 -SH603707,no_valid_signals,0.3 -SZ000027,no_valid_signals,0.3 -SZ002002,empty_data,0.3 -SZ002266,no_valid_signals,0.3 -SZ002500,no_valid_signals,0.3 -SH600801,no_valid_signals,0.3 -SH600208,no_valid_signals,0.3 -SZ002249,no_valid_signals,0.3 -SH600415,no_valid_signals,0.3 -SZ000012,no_valid_signals,0.3 -SH601866,no_valid_signals,0.3 -SZ002511,no_valid_signals,0.3 -SZ000060,no_valid_signals,0.3 -SH601992,no_valid_signals,0.3 -SH600839,no_valid_signals,0.3 -SZ002966,no_valid_signals,0.3 -SH600155,no_valid_signals,0.3 -SZ002128,no_valid_signals,0.3 -SH600517,no_valid_signals,0.3 -SH600985,no_valid_signals,0.3 -SZ000778,no_valid_signals,0.3 -SH600782,no_valid_signals,0.3 -SZ002939,no_valid_signals,0.3 -SZ002294,no_valid_signals,0.3 -SZ000540,empty_data,0.3 -SH600863,no_valid_signals,0.3 -SZ002958,no_valid_signals,0.3 -SH601179,no_valid_signals,0.3 -SH600755,no_valid_signals,0.3 -SZ000598,no_valid_signals,0.3 -SH600297,no_valid_signals,0.3 -SZ002701,no_valid_signals,0.3 -SH600820,no_valid_signals,0.3 -SH600567,no_valid_signals,0.3 -SZ000709,no_valid_signals,0.3 -SZ002075,no_valid_signals,0.3 -SZ002146,no_valid_signals,0.3 -SH600409,no_valid_signals,0.3 -SH600021,no_valid_signals,0.3 -SH600827,no_valid_signals,0.3 -SH601880,no_valid_signals,0.3 -SH600598,no_valid_signals,0.3 -SH600808,no_valid_signals,0.3 -SH600022,no_valid_signals,0.3 -SZ000987,no_valid_signals,0.3 -SH600737,no_valid_signals,0.3 -SZ000883,no_valid_signals,0.3 -SH600811,no_valid_signals,0.3 -SH601106,no_valid_signals,0.3 -SZ002233,no_valid_signals,0.3 -SZ002110,no_valid_signals,0.3 -SH600967,no_valid_signals,0.3 -SZ000898,no_valid_signals,0.3 -SH601118,no_valid_signals,0.3 -SZ000488,no_valid_signals,0.3 -SZ000877,no_valid_signals,0.3 -SH600064,no_valid_signals,0.3 -SH601333,no_valid_signals,0.3 -SH601200,no_valid_signals,0.3 -SZ002081,no_valid_signals,0.3 -SZ000089,no_valid_signals,0.3 -SZ000559,no_valid_signals,0.3 -SZ000959,no_valid_signals,0.3 -SZ000528,no_valid_signals,0.3 -SH600195,no_valid_signals,0.3 -SZ002434,no_valid_signals,0.3 -SZ000685,no_valid_signals,0.3 -SZ000671,empty_data,0.3 -SH600120,no_valid_signals,0.3 -SZ001965,no_valid_signals,0.3 -SH601608,no_valid_signals,0.3 -SH600126,no_valid_signals,0.3 -SH601611,no_valid_signals,0.3 -SZ000758,no_valid_signals,0.3 -SH601098,no_valid_signals,0.3 -SH600307,no_valid_signals,0.3 -SH601598,no_valid_signals,0.3 -SH600643,no_valid_signals,0.3 -SZ000563,no_valid_signals,0.3 -SZ000718,no_valid_signals,0.3 -SH601958,no_valid_signals,0.3 -SH600901,no_valid_signals,0.3 -SH600717,no_valid_signals,0.3 -SZ000967,no_valid_signals,0.3 -SZ002458,no_valid_signals,0.3 -SH601860,no_valid_signals,0.3 -SZ002563,no_valid_signals,0.3 -SH600928,no_valid_signals,0.3 -SH600968,no_valid_signals,0.3 -SZ000937,no_valid_signals,0.3 -SZ000717,no_valid_signals,0.3 -SH600649,no_valid_signals,0.3 -SH600648,no_valid_signals,0.3 -SH600623,no_valid_signals,0.3 -SH600377,no_valid_signals,0.3 -SH601139,no_valid_signals,0.3 -SZ000869,no_valid_signals,0.3 -SH600871,no_valid_signals,0.3 -SH600639,no_valid_signals,0.3 -SH601298,no_valid_signals,0.3 -SZ000046,empty_data,0.3 -SZ001872,no_valid_signals,0.3 -SH601156,no_valid_signals,0.3 -SH603708,no_valid_signals,0.3 -SH600350,no_valid_signals,0.3 -SH601568,no_valid_signals,0.3 -SH600466,empty_data,0.3 -SH603515,no_valid_signals,0.3 -SH601665,no_valid_signals,0.3 -SH600917,no_valid_signals,0.3 -SH600956,no_valid_signals,0.3 -SH601187,no_valid_signals,0.3 -SH603983,no_valid_signals,0.3 diff --git a/src/results/temp/profit_24.0.csv b/src/results/temp/profit_24.0.csv deleted file mode 100644 index 235be2a..0000000 --- a/src/results/temp/profit_24.0.csv +++ /dev/null @@ -1,2 +0,0 @@ -take_profit_pct,total_profit,avg_profit_per_trade,median_profit_per_trade,avg_holding_days,trade_win_rate,stock_win_rate,total_trades,stock_count -23.999999999999993,-51449903.2556674,-20176.432649281334,0,116.57411764705883,40.94117647058824,39.863325740318906,2550,439 diff --git a/src/results/temp/profit_25.0.csv b/src/results/temp/profit_25.0.csv deleted file mode 100644 index a0b328f..0000000 --- a/src/results/temp/profit_25.0.csv +++ /dev/null @@ -1,2 +0,0 @@ -take_profit_pct,total_profit,avg_profit_per_trade,median_profit_per_trade,avg_holding_days,trade_win_rate,stock_win_rate,total_trades,stock_count -24.999999999999993,-51842058.294730715,-20394.200745370068,0,118.2285601888277,40.440597954366645,39.40774487471526,2542,439 diff --git a/src/results/temp/profit_26.0.csv b/src/results/temp/profit_26.0.csv deleted file mode 100644 index fe9042e..0000000 --- a/src/results/temp/profit_26.0.csv +++ /dev/null @@ -1,2 +0,0 @@ -take_profit_pct,total_profit,avg_profit_per_trade,median_profit_per_trade,avg_holding_days,trade_win_rate,stock_win_rate,total_trades,stock_count -25.999999999999996,-52586377.81024381,-20851.06178042974,0,119.98215701823949,39.809674861221254,39.17995444191344,2522,439 diff --git a/src/results/temp/profit_27.0.csv b/src/results/temp/profit_27.0.csv deleted file mode 100644 index aa34d7c..0000000 --- a/src/results/temp/profit_27.0.csv +++ /dev/null @@ -1,2 +0,0 @@ -take_profit_pct,total_profit,avg_profit_per_trade,median_profit_per_trade,avg_holding_days,trade_win_rate,stock_win_rate,total_trades,stock_count -26.999999999999996,-54650589.844712615,-21825.31543319194,0,121.754392971246,39.05750798722045,38.496583143507976,2504,439 diff --git a/src/results/temp/profit_28.0.csv b/src/results/temp/profit_28.0.csv deleted file mode 100644 index 8910684..0000000 --- a/src/results/temp/profit_28.0.csv +++ /dev/null @@ -1,2 +0,0 @@ -take_profit_pct,total_profit,avg_profit_per_trade,median_profit_per_trade,avg_holding_days,trade_win_rate,stock_win_rate,total_trades,stock_count -27.999999999999996,-13478086.243568404,-13711.176239642324,0,78.75483214649033,37.945066124109864,39.823008849557525,983,339 diff --git a/src/results/temp/profit_29.0.csv b/src/results/temp/profit_29.0.csv deleted file mode 100644 index e1c7a4f..0000000 --- a/src/results/temp/profit_29.0.csv +++ /dev/null @@ -1,2 +0,0 @@ -take_profit_pct,total_profit,avg_profit_per_trade,median_profit_per_trade,avg_holding_days,trade_win_rate,stock_win_rate,total_trades,stock_count -28.999999999999996,-12628925.952513697,-12860.413393598468,0,79.27698574338086,37.67820773930753,40.294117647058826,982,340 diff --git a/src/results/temp/profit_30.0.csv b/src/results/temp/profit_30.0.csv deleted file mode 100644 index d8fe086..0000000 --- a/src/results/temp/profit_30.0.csv +++ /dev/null @@ -1,2 +0,0 @@ -take_profit_pct,total_profit,avg_profit_per_trade,median_profit_per_trade,avg_holding_days,trade_win_rate,stock_win_rate,total_trades,stock_count -30.0,-14121418.834878381,-14453.857558729153,0,80.489252814739,36.8474923234391,39.705882352941174,977,340 diff --git a/src/tushare_scripts/concept_moneyflow_ths_collector.py b/src/tushare_scripts/concept_moneyflow_ths_collector.py new file mode 100644 index 0000000..b2b6e67 --- /dev/null +++ b/src/tushare_scripts/concept_moneyflow_ths_collector.py @@ -0,0 +1,221 @@ +# coding:utf-8 +""" +同花顺概念板块资金流向采集工具 +接口：moneyflow_cnt_ths +文档：https://tushare.pro/document/2?doc_id=371 +""" + +import os +import sys +from datetime import datetime +from typing import Optional + +import pandas as pd +import tushare as ts +from sqlalchemy import create_engine, text + +PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) +sys.path.append(PROJECT_ROOT) + +from src.scripts.config import TUSHARE_TOKEN + + +class ConceptMoneyflowTHSCollector: + """同花顺概念板块资金流向采集器""" + + def __init__(self, db_url: str, tushare_token: str, table_name: str = "gp_concept_moneyflow_ths"): + self.engine = create_engine( + db_url, + pool_size=5, + max_overflow=10, + pool_recycle=3600, + ) + self.table_name = table_name + + ts.set_token(tushare_token) + self.pro = ts.pro_api() + + print("=" * 60) + print("同花顺概念板块资金流向采集工具") + print(f"目标数据表: {self.table_name}") + print("=" * 60) + + def fetch_data( + self, + ts_code: Optional[str] = None, + trade_date: Optional[str] = None, + start_date: Optional[str] = None, + end_date: Optional[str] = None, + ) -> pd.DataFrame: + """调用 Tushare moneyflow_cnt_ths 接口""" + try: + df = self.pro.moneyflow_cnt_ths( + ts_code=ts_code, + trade_date=trade_date, + start_date=start_date, + end_date=end_date, + ) + return df + except Exception as exc: + print(f"Tushare moneyflow_cnt_ths 调用失败: {exc}") + return pd.DataFrame() + + @staticmethod + def _to_numeric(series): + return pd.to_numeric(series, errors="coerce") + + def transform_data(self, df: pd.DataFrame) -> pd.DataFrame: + """转换接口数据为数据库格式""" + if df.empty: + return pd.DataFrame() + + result = pd.DataFrame() + result["trade_date"] = pd.to_datetime(df["trade_date"], format="%Y%m%d") + result["concept_code"] = df.get("ts_code") + result["concept_name"] = df.get("name") + result["lead_stock"] = df.get("lead_stock") + result["close_price"] = self._to_numeric(df.get("close_price")) + result["pct_change"] = self._to_numeric(df.get("pct_change")) + result["industry_index"] = self._to_numeric(df.get("industry_index")) + result["company_num"] = self._to_numeric(df.get("company_num")).astype("Int64") + result["pct_change_stock"] = self._to_numeric(df.get("pct_change_stock")) + result["net_buy_amount"] = self._to_numeric(df.get("net_buy_amount")) + result["net_sell_amount"] = self._to_numeric(df.get("net_sell_amount")) + result["net_amount"] = self._to_numeric(df.get("net_amount")) + + result = result.dropna(subset=["concept_code"]) + result["created_at"] = datetime.now() + result["updated_at"] = datetime.now() + return result + + def delete_by_date(self, trade_date: str) -> None: + """删除指定日期旧数据""" + with self.engine.begin() as conn: + delete_sql = text(f"DELETE FROM {self.table_name} WHERE trade_date = :trade_date") + affected = conn.execute(delete_sql, {"trade_date": trade_date}) + print(f"已删除 {trade_date} 旧数据 {affected.rowcount} 条") + + def save_dataframe(self, df: pd.DataFrame) -> None: + """写入数据到表""" + if df.empty: + print("无数据需要写入") + return + df.to_sql(self.table_name, self.engine, if_exists="append", index=False) + print(f"写入 {len(df)} 条记录") + + def run_daily_collection(self, date: Optional[str] = None) -> None: + """采集单日数据""" + target_date = date or datetime.now().strftime("%Y-%m-%d") + trade_date = datetime.strptime(target_date, "%Y-%m-%d").strftime("%Y%m%d") + + print(f"开始采集 {target_date} ({trade_date}) 概念资金流向数据") + self.delete_by_date(target_date) + + df = self.fetch_data(trade_date=trade_date) + if df.empty: + print("接口未返回数据（可能为非交易日或权限不足）") + return + + result_df = self.transform_data(df) + if result_df.empty: + print("数据转换失败") + return + + self.save_dataframe(result_df) + print("每日采集完成") + + def run_range_collection(self, start_date: str, end_date: str) -> None: + """在日期区间内逐日采集""" + start = datetime.strptime(start_date, "%Y-%m-%d") + end = datetime.strptime(end_date, "%Y-%m-%d") + if start > end: + raise ValueError("start_date 不能大于 end_date") + + current = start + while current <= end: + target = current.strftime("%Y-%m-%d") + try: + self.run_daily_collection(target) + except Exception as exc: + print(f"{target} 采集失败: {exc}") + current += pd.Timedelta(days=1) + + def run_full_collection(self, start_date: str = "2010-01-01") -> None: + """ + 全量采集：清空表后，从 start_date (含) 至今逐个交易日采集 + """ + print("=" * 60) + print("开始执行概念资金流向全量采集") + print("=" * 60) + + try: + with self.engine.begin() as conn: + conn.execute(text(f"TRUNCATE TABLE {self.table_name}")) + print(f"{self.table_name} 已清空") + + trade_cal = self.pro.trade_cal( + start_date=start_date.replace("-", ""), + end_date=datetime.now().strftime("%Y%m%d"), + fields="cal_date,is_open" + ) + trade_days = trade_cal.loc[trade_cal["is_open"] == 1, "cal_date"].tolist() + print(f"共 {len(trade_days)} 个交易日待采集") + + processed = 0 + for cal_date in trade_days: + target = datetime.strptime(cal_date, "%Y%m%d").strftime("%Y-%m-%d") + try: + self.run_daily_collection(target) + processed += 1 + except Exception as exc: + print(f"{target} 数据采集失败: {exc}") + continue + + print("=" * 60) + print(f"全量采集完成，成功采集 {processed} 个交易日") + print("=" * 60) + except Exception as exc: + print(f"全量采集失败: {exc}") + + +def collect_concept_moneyflow_ths( + db_url: str, + tushare_token: str, + mode: str = "daily", + date: Optional[str] = None, + start_date: Optional[str] = None, + end_date: Optional[str] = None, +) -> None: + """ + 调度入口 + mode: + - daily: 指定日期（默认今天）数据 + - range: 指定日期区间逐日采集 + - full: 全量覆盖采集（会清空表） + """ + collector = ConceptMoneyflowTHSCollector(db_url, tushare_token) + + if mode == "daily": + collector.run_daily_collection(date) + elif mode == "range": + if not start_date or not end_date: + raise ValueError("range 模式需要提供 start_date 和 end_date") + collector.run_range_collection(start_date, end_date) + elif mode == "full": + collector.run_full_collection(start_date or "2010-01-01") + else: + raise ValueError(f"未知的采集模式: {mode}") + + +if __name__ == "__main__": + # DB_URL = "mysql+pymysql://root:Chlry#$.8@192.168.18.199:3306/db_gp_cj" + DB_URL = "mysql+pymysql://fac_pattern:Chlry$%.8pattern@192.168.16.150:3306/factordb_mysql" + TOKEN = TUSHARE_TOKEN + + # 示例： + collect_concept_moneyflow_ths(DB_URL, TOKEN, mode="daily", date="2025-11-17") + # collect_concept_moneyflow_ths(DB_URL, TOKEN, mode="range", start_date="2025-11-01", end_date="2025-11-07") + # collect_concept_moneyflow_ths(DB_URL, TOKEN, mode="full", start_date="2018-01-01") + + # collect_concept_moneyflow_ths(DB_URL, TOKEN, mode="daily") + diff --git a/src/tushare_scripts/industry_moneyflow_ths_collector.py b/src/tushare_scripts/industry_moneyflow_ths_collector.py new file mode 100644 index 0000000..0c3c65a --- /dev/null +++ b/src/tushare_scripts/industry_moneyflow_ths_collector.py @@ -0,0 +1,220 @@ +# coding:utf-8 +""" +同花顺行业资金流向采集工具 +接口：moneyflow_ind_ths +文档：https://tushare.pro/document/2?doc_id=343 +""" + +import os +import sys +from datetime import datetime +from typing import Optional + +import pandas as pd +import tushare as ts +from sqlalchemy import create_engine, text + +PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) +sys.path.append(PROJECT_ROOT) + +from src.scripts.config import TUSHARE_TOKEN + + +class IndustryMoneyflowTHSCollector: + """同花顺行业资金流向采集器""" + + def __init__(self, db_url: str, tushare_token: str, table_name: str = "gp_industry_moneyflow_ths"): + self.engine = create_engine( + db_url, + pool_size=5, + max_overflow=10, + pool_recycle=3600, + ) + self.table_name = table_name + + ts.set_token(tushare_token) + self.pro = ts.pro_api() + + print("=" * 60) + print("同花顺行业资金流向采集工具") + print(f"目标数据表: {self.table_name}") + print("=" * 60) + + def fetch_data( + self, + ts_code: Optional[str] = None, + trade_date: Optional[str] = None, + start_date: Optional[str] = None, + end_date: Optional[str] = None, + ) -> pd.DataFrame: + """调用 Tushare moneyflow_ind_ths 接口""" + try: + df = self.pro.moneyflow_ind_ths( + ts_code=ts_code, + trade_date=trade_date, + start_date=start_date, + end_date=end_date, + ) + return df + except Exception as exc: + print(f"Tushare moneyflow_ind_ths 调用失败: {exc}") + return pd.DataFrame() + + @staticmethod + def _to_numeric(series): + return pd.to_numeric(series, errors="coerce") + + def transform_data(self, df: pd.DataFrame) -> pd.DataFrame: + """转换接口数据为数据库格式""" + if df.empty: + return pd.DataFrame() + + result = pd.DataFrame() + result["trade_date"] = pd.to_datetime(df["trade_date"], format="%Y%m%d") + result["industry_code"] = df.get("ts_code") + result["industry_name"] = df.get("industry") + result["lead_stock"] = df.get("lead_stock") + result["close_index"] = self._to_numeric(df.get("close")) + result["pct_change"] = self._to_numeric(df.get("pct_change")) + result["company_num"] = self._to_numeric(df.get("company_num")).astype("Int64") + result["pct_change_stock"] = self._to_numeric(df.get("pct_change_stock")) + result["close_price"] = self._to_numeric(df.get("close_price")) + result["net_buy_amount"] = self._to_numeric(df.get("net_buy_amount")) + result["net_sell_amount"] = self._to_numeric(df.get("net_sell_amount")) + result["net_amount"] = self._to_numeric(df.get("net_amount")) + + result = result.dropna(subset=["industry_code"]) + result["created_at"] = datetime.now() + result["updated_at"] = datetime.now() + return result + + def delete_by_date(self, trade_date: str) -> None: + """删除指定日期旧数据""" + with self.engine.begin() as conn: + delete_sql = text(f"DELETE FROM {self.table_name} WHERE trade_date = :trade_date") + affected = conn.execute(delete_sql, {"trade_date": trade_date}) + print(f"已删除 {trade_date} 旧数据 {affected.rowcount} 条") + + def save_dataframe(self, df: pd.DataFrame) -> None: + """写入数据到表""" + if df.empty: + print("无数据需要写入") + return + df.to_sql(self.table_name, self.engine, if_exists="append", index=False) + print(f"写入 {len(df)} 条记录") + + def run_daily_collection(self, date: Optional[str] = None) -> None: + """采集单日数据""" + target_date = date or datetime.now().strftime("%Y-%m-%d") + trade_date = datetime.strptime(target_date, "%Y-%m-%d").strftime("%Y%m%d") + + print(f"开始采集 {target_date} ({trade_date}) 行业资金流向数据") + self.delete_by_date(target_date) + + df = self.fetch_data(trade_date=trade_date) + if df.empty: + print("接口未返回数据（可能为非交易日或权限不足）") + return + + result_df = self.transform_data(df) + if result_df.empty: + print("数据转换失败") + return + + self.save_dataframe(result_df) + print("每日采集完成") + + def run_range_collection(self, start_date: str, end_date: str) -> None: + """在日期区间内逐日采集""" + start = datetime.strptime(start_date, "%Y-%m-%d") + end = datetime.strptime(end_date, "%Y-%m-%d") + if start > end: + raise ValueError("start_date 不能大于 end_date") + + current = start + while current <= end: + target = current.strftime("%Y-%m-%d") + try: + self.run_daily_collection(target) + except Exception as exc: + print(f"{target} 采集失败: {exc}") + current += pd.Timedelta(days=1) + + def run_full_collection(self, start_date: str = "2010-01-01") -> None: + """ + 全量采集：清空表后，从 start_date (含) 至今逐个交易日采集 + """ + print("=" * 60) + print("开始执行行业资金流向全量采集") + print("=" * 60) + + try: + with self.engine.begin() as conn: + conn.execute(text(f"TRUNCATE TABLE {self.table_name}")) + print(f"{self.table_name} 已清空") + + trade_cal = self.pro.trade_cal( + start_date=start_date.replace("-", ""), + end_date=datetime.now().strftime("%Y%m%d"), + fields="cal_date,is_open" + ) + trade_days = trade_cal.loc[trade_cal["is_open"] == 1, "cal_date"].tolist() + print(f"共 {len(trade_days)} 个交易日待采集") + + processed = 0 + for cal_date in trade_days: + target = datetime.strptime(cal_date, "%Y%m%d").strftime("%Y-%m-%d") + try: + self.run_daily_collection(target) + processed += 1 + except Exception as exc: + print(f"{target} 数据采集失败: {exc}") + continue + + print("=" * 60) + print(f"全量采集完成，成功采集 {processed} 个交易日") + print("=" * 60) + except Exception as exc: + print(f"全量采集失败: {exc}") + + +def collect_industry_moneyflow_ths( + db_url: str, + tushare_token: str, + mode: str = "daily", + date: Optional[str] = None, + start_date: Optional[str] = None, + end_date: Optional[str] = None, +) -> None: + """ + 调度入口 + mode: + - daily: 指定日期（默认今天）数据 + - range: 指定日期区间逐日采集 + - full: 全量覆盖采集（会清空表） + """ + collector = IndustryMoneyflowTHSCollector(db_url, tushare_token) + + if mode == "daily": + collector.run_daily_collection(date) + elif mode == "range": + if not start_date or not end_date: + raise ValueError("range 模式需要提供 start_date 和 end_date") + collector.run_range_collection(start_date, end_date) + elif mode == "full": + collector.run_full_collection(start_date or "2010-01-01") + else: + raise ValueError(f"未知的采集模式: {mode}") + + +if __name__ == "__main__": + # DB_URL = "mysql+pymysql://root:Chlry#$.8@192.168.18.199:3306/db_gp_cj" + DB_URL = "mysql+pymysql://fac_pattern:Chlry$%.8pattern@192.168.16.150:3306/factordb_mysql" + TOKEN = TUSHARE_TOKEN + + # 示例： + collect_industry_moneyflow_ths(DB_URL, TOKEN, mode="daily", date="2025-11-17") + # collect_industry_moneyflow_ths(DB_URL, TOKEN, mode="range", start_date="2025-11-01", end_date="2025-11-07") + # collect_industry_moneyflow_ths(DB_URL, TOKEN, mode="full", start_date="2018-01-01") + + diff --git a/src/tushare_scripts/moneyflow_ths_collector.py b/src/tushare_scripts/moneyflow_ths_collector.py new file mode 100644 index 0000000..40da830 --- /dev/null +++ b/src/tushare_scripts/moneyflow_ths_collector.py @@ -0,0 +1,343 @@ +# coding:utf-8 +""" +个股资金流向（同花顺）采集工具 +功能：从 Tushare 获取 moneyflow_ths 数据并落库 +API 文档: https://tushare.pro/document/2?doc_id=348 +说明：接口每日盘后更新，需至少 5000 积分 +""" + +import os +import sys +from datetime import datetime +from typing import Optional + +import pandas as pd +import tushare as ts +from sqlalchemy import create_engine, text + +# 添加项目根目录到路径，确保能够读取配置 +PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) +sys.path.append(PROJECT_ROOT) + +from src.scripts.config import TUSHARE_TOKEN + + +class MoneyflowTHSCollector: + """个股资金流向（THS）采集器""" + + def __init__(self, db_url: str, tushare_token: str, table_name: str = "gp_moneyflow_ths"): + """ + Args: + db_url: 数据库连接 URL + tushare_token: Tushare Token + table_name: 目标表名，默认 gp_moneyflow_ths + """ + self.engine = create_engine( + db_url, + pool_size=5, + max_overflow=10, + pool_recycle=3600, + ) + self.table_name = table_name + + ts.set_token(tushare_token) + self.pro = ts.pro_api() + + print("=" * 60) + print("个股资金流向（THS）采集工具") + print(f"目标数据表: {self.table_name}") + print("=" * 60) + + @staticmethod + def convert_tushare_code_to_db(ts_code: str) -> str: + """ + 将 Tushare 代码（600000.SH）转换为数据库代码（SH600000） + """ + if not ts_code or "." not in ts_code: + return ts_code + base, market = ts_code.split(".") + return f"{market}{base}" + + @staticmethod + def convert_db_code_to_tushare(symbol: str) -> str: + """ + 将数据库代码（SH600000）转换为 Tushare 代码（600000.SH） + """ + if not symbol: + return symbol + prefix = symbol[:2] + code = symbol[2:] + if prefix in {"SH", "SZ", "BJ"}: + return f"{code}.{prefix}" + return symbol + + def fetch_data( + self, + ts_code: Optional[str] = None, + trade_date: Optional[str] = None, + start_date: Optional[str] = None, + end_date: Optional[str] = None, + ) -> pd.DataFrame: + """ + 调用 Tushare moneyflow_ths 接口获取数据 + Args 参数同接口文档 + """ + try: + df = self.pro.moneyflow_ths( + ts_code=ts_code, + trade_date=trade_date, + start_date=start_date, + end_date=end_date, + ) + return df + except Exception as exc: + print(f"Tushare moneyflow_ths 调用失败: {exc}") + return pd.DataFrame() + + def transform_data(self, df: pd.DataFrame) -> pd.DataFrame: + """ + 将 Tushare 返回的数据转换为数据库入库格式 + """ + if df.empty: + return pd.DataFrame() + + result = pd.DataFrame() + result["symbol"] = df["ts_code"].apply(self.convert_tushare_code_to_db) + result["ts_code"] = df["ts_code"] + result["trade_date"] = pd.to_datetime(df["trade_date"], format="%Y%m%d") + result["name"] = df.get("name") + result["pct_change"] = df.get("pct_change") + result["latest"] = df.get("latest") + result["net_amount"] = df.get("net_amount") + result["net_d5_amount"] = df.get("net_d5_amount") + result["buy_lg_amount"] = df.get("buy_lg_amount") + result["buy_lg_amount_rate"] = df.get("buy_lg_amount_rate") + result["buy_md_amount"] = df.get("buy_md_amount") + result["buy_md_amount_rate"] = df.get("buy_md_amount_rate") + result["buy_sm_amount"] = df.get("buy_sm_amount") + result["buy_sm_amount_rate"] = df.get("buy_sm_amount_rate") + result["created_at"] = datetime.now() + result["updated_at"] = datetime.now() + return result + + def save_dataframe(self, df: pd.DataFrame) -> None: + """ + 将数据写入数据库 + """ + if df.empty: + print("无数据需要保存") + return + df.to_sql(self.table_name, self.engine, if_exists="append", index=False) + print(f"成功写入 {len(df)} 条记录") + + def delete_by_date(self, date_str: str) -> None: + """ + 删除指定交易日的旧数据 + """ + with self.engine.begin() as conn: + delete_sql = text(f"DELETE FROM {self.table_name} WHERE trade_date = :trade_date") + affected = conn.execute(delete_sql, {"trade_date": date_str}) + print(f"已删除 {date_str} 旧数据 {affected.rowcount} 条") + + def run_daily_collection(self, date: Optional[str] = None) -> None: + """ + 获取指定交易日（默认当天）的全市场资金流向数据 + """ + target_date = date or datetime.now().strftime("%Y-%m-%d") + trade_date = datetime.strptime(target_date, "%Y-%m-%d").strftime("%Y%m%d") + + print(f"开始采集 {target_date} ({trade_date}) 个股资金流向数据") + self.delete_by_date(target_date) + + df = self.fetch_data(trade_date=trade_date) + if df.empty: + print("接口未返回数据（可能为非交易日或权限不足）") + return + + result_df = self.transform_data(df) + if result_df.empty: + print("数据转换失败") + return + + self.save_dataframe(result_df) + print("每日采集完成") + + def run_full_collection(self) -> None: + """ + 执行全量覆盖采集： + - 清空目标表 + - 遍历数据库中所有股票代码，逐只拉取全历史数据 + """ + print("=" * 60) + print("开始执行全量覆盖采集（moneyflow_ths）") + print("=" * 60) + + try: + # 清空表 + with self.engine.begin() as conn: + conn.execute(text(f"TRUNCATE TABLE {self.table_name}")) + print(f"{self.table_name} 已清空") + + # 获取全部股票代码 + codes_df = pd.read_sql("SELECT gp_code FROM gp_code_all_copy", self.engine) + codes = codes_df["gp_code"].tolist() + print(f"共获取到 {len(codes)} 只股票") + + total_records = 0 + success_count = 0 + failed_count = 0 + + for symbol in codes: + ts_code = self.convert_db_code_to_tushare(symbol) + try: + df = self.fetch_data(ts_code=ts_code) + if df.empty: + failed_count += 1 + continue + + result_df = self.transform_data(df) + if result_df.empty: + failed_count += 1 + continue + + self.save_dataframe(result_df) + total_records += len(result_df) + success_count += 1 + except Exception as exc: + print(f"\n采集 {symbol} 失败: {exc}") + failed_count += 1 + continue + + print("=" * 60) + print("全量覆盖采集完成") + print(f"总股票数: {len(codes)}") + print(f"成功采集: {success_count}") + print(f"失败: {failed_count}") + print(f"累计记录: {total_records}") + print("=" * 60) + except Exception as exc: + print(f"全量采集失败: {exc}") + finally: + self.engine.dispose() + + def run_range_collection(self, start_date: str, end_date: str) -> None: + """ + 获取时间区间内的全市场资金流向数据（按天分批） + """ + start = datetime.strptime(start_date, "%Y-%m-%d") + end = datetime.strptime(end_date, "%Y-%m-%d") + if start > end: + raise ValueError("start_date 不能大于 end_date") + + current = start + while current <= end: + target = current.strftime("%Y-%m-%d") + try: + self.run_daily_collection(target) + except Exception as exc: + print(f"{target} 数据采集失败: {exc}") + current += pd.Timedelta(days=1) + + def run_stock_collection( + self, + symbol: str, + start_date: Optional[str] = None, + end_date: Optional[str] = None, + ) -> None: + """ + 获取单只股票在指定区间的资金流向数据 + Args: + symbol: 数据库格式（SH600000、SZ000001 等）或 Tushare ts_code + """ + ts_code = symbol if "." in symbol else self.convert_db_code_to_tushare(symbol) + + df = self.fetch_data(ts_code=ts_code, start_date=start_date, end_date=end_date) + if df.empty: + print("接口无返回数据") + return + + result_df = self.transform_data(df) + if result_df.empty: + print("数据转换失败") + return + + # 删除已有范围数据，避免重复 + if start_date or end_date: + start = start_date or result_df["trade_date"].min().strftime("%Y-%m-%d") + end = end_date or result_df["trade_date"].max().strftime("%Y-%m-%d") + with self.engine.begin() as conn: + delete_sql = text( + f""" + DELETE FROM {self.table_name} + WHERE symbol = :symbol AND trade_date BETWEEN :start AND :end + """ + ) + affected = conn.execute( + delete_sql, + { + "symbol": self.convert_tushare_code_to_db(ts_code), + "start": start, + "end": end, + }, + ) + print(f"已删除 {symbol} {start}~{end} 旧数据 {affected.rowcount} 条") + + self.save_dataframe(result_df) + + +def collect_moneyflow_ths( + db_url: str, + tushare_token: str, + mode: str = "daily", + date: Optional[str] = None, + start_date: Optional[str] = None, + end_date: Optional[str] = None, + symbol: Optional[str] = None, +): + """ + 采集入口 + mode: + - daily: 指定日期（默认今天）的全市场数据 + - range: 指定日期区间的全市场数据（逐日） + - stock: 指定股票（symbol）的区间数据 + """ + collector = MoneyflowTHSCollector(db_url, tushare_token) + + if mode == "daily": + collector.run_daily_collection(date) + elif mode == "range": + if not start_date or not end_date: + raise ValueError("range 模式需要提供 start_date 和 end_date，格式 YYYY-MM-DD") + collector.run_range_collection(start_date, end_date) + elif mode == "stock": + if not symbol: + raise ValueError("stock 模式需要提供 symbol 参数") + collector.run_stock_collection(symbol, start_date, end_date) + elif mode == "full": + collector.run_full_collection() + else: + raise ValueError(f"未知的采集模式: {mode}") + + +if __name__ == "__main__": + # DB_URL = "mysql+pymysql://root:Chlry#$.8@192.168.18.199:3306/db_gp_cj" + DB_URL = "mysql+pymysql://fac_pattern:Chlry$%.8pattern@192.168.16.150:3306/factordb_mysql" + TOKEN = TUSHARE_TOKEN + + # 示例： + # 1. 采集当日全市场数据 + # collect_moneyflow_ths(DB_URL, TOKEN, mode="daily") + + # collect_moneyflow_ths(DB_URL, TOKEN, mode="full") + + # 2. 采集指定日期全市场数据 + collect_moneyflow_ths(DB_URL, TOKEN, mode="daily", date="2025-11-17") + # + # 3. 采集日期区间全市场数据（逐日） + # collect_moneyflow_ths(DB_URL, TOKEN, mode="range", start_date="2025-11-01", end_date="2025-11-07") + # + # 4. 采集单只股票区间数据 + # collect_moneyflow_ths(DB_URL, TOKEN, mode="stock", symbol="600519.SH", start_date="2025-11-01", end_date="2025-11-07") + + # collect_moneyflow_ths(DB_URL, TOKEN, mode="daily", date="2025-11-07") + diff --git a/src/tushare_scripts/stock_factor_pro_collector.py b/src/tushare_scripts/stock_factor_pro_collector.py index e158709..4772d9d 100644 --- a/src/tushare_scripts/stock_factor_pro_collector.py +++ b/src/tushare_scripts/stock_factor_pro_collector.py @@ -442,7 +442,7 @@ class StockFactorProCollector: 股票代码列表 """ try: - query = "SELECT gp_code FROM gp_code_all" + query = "SELECT gp_code FROM gp_code_all_copy" df = pd.read_sql(query, self.engine) codes = df['gp_code'].tolist() print(f"获取到A股股票代码: {len(codes)}个") diff --git a/src/valuation_analysis/financial_analysis.py b/src/valuation_analysis/financial_analysis.py index 5566032..b080c2e 100644 --- a/src/valuation_analysis/financial_analysis.py +++ b/src/valuation_analysis/financial_analysis.py @@ -529,10 +529,9 @@ class FinancialAnalyzer: valuation_result = industry_analyzer.get_latest_industry_valuation(industry_list[0]) if valuation_result.get('success'): industry_valuation = { - 'industry_name': valuation_result.get('industry_name'), + 'industry_name': industry_list[0], 'avg_pe': valuation_result.get('avg_pe'), - 'avg_pb': valuation_result.get('avg_pb'), - 'stock_count': valuation_result.get('stock_count') + 'avg_pb': valuation_result.get('avg_pb') } # 获取动量指标数据 diff --git a/src/valuation_analysis/industry_analysis.py b/src/valuation_analysis/industry_analysis.py index 70f537b..2177d48 100644 --- a/src/valuation_analysis/industry_analysis.py +++ b/src/valuation_analysis/industry_analysis.py @@ -143,6 +143,11 @@ class IndustryAnalyzer: def get_latest_industry_valuation(self, industry_name: str) -> Dict: """ 查询指定行业最新的平均PE、PB数值 + 处理逻辑： + 1. 获取每只股票的最新PE和PB值 + 2. 过滤掉负值 + 3. 去掉最大的前10%数据 + 4. 计算平均值 Args: industry_name: 行业名称 @@ -158,6 +163,7 @@ class IndustryAnalyzer: "message": f"未找到行业 {industry_name} 的股票列表" } + # 分批查询每只股票的最新PE和PB值 query = text(""" WITH latest_timestamp AS ( SELECT @@ -168,36 +174,66 @@ class IndustryAnalyzer: GROUP BY symbol ) SELECT - AVG(b.pe_ttm) AS avg_pe_ttm, - AVG(b.pb) AS avg_pb, - MAX(b.`timestamp`) AS data_date, - COUNT(*) AS stock_count + b.pe_ttm, + b.pb FROM gp_day_basic b INNER JOIN latest_timestamp l ON b.symbol = l.symbol AND b.`timestamp` = l.latest_ts """) with self.engine.connect() as conn: - result = conn.execute(query, {"stock_codes": tuple(stock_codes)}).fetchone() + results = conn.execute(query, {"stock_codes": tuple(stock_codes)}).fetchall() - if not result or result["stock_count"] == 0: + if not results: return { "success": False, "message": f"未查询到行业 {industry_name} 的最新估值数据" } - avg_pe = result["avg_pe_ttm"] - avg_pb = result["avg_pb"] - data_date = result["data_date"] - stock_count = result["stock_count"] + # 提取PE和PB值，过滤负值 + pe_values = [] + pb_values = [] + + for row in results: + row_dict = dict(row._mapping) + pe = row_dict.get("pe_ttm") + pb = row_dict.get("pb") + + # 过滤负值 + if pe is not None and pe > 0: + pe_values.append(float(pe)) + if pb is not None and pb > 0: + pb_values.append(float(pb)) + + # 计算平均值（去掉最大的前10%） + avg_pe = None + avg_pb = None + + if pe_values: + pe_values_sorted = sorted(pe_values) + # 去掉最大的前10% + remove_count = max(1, int(len(pe_values_sorted) * 0.1)) + if remove_count < len(pe_values_sorted): + pe_values_filtered = pe_values_sorted[:-remove_count] + avg_pe = round(sum(pe_values_filtered) / len(pe_values_filtered), 2) + else: + avg_pe = round(sum(pe_values_sorted) / len(pe_values_sorted), 2) + + if pb_values: + pb_values_sorted = sorted(pb_values) + # 去掉最大的前10% + remove_count = max(1, int(len(pb_values_sorted) * 0.1)) + if remove_count < len(pb_values_sorted): + pb_values_filtered = pb_values_sorted[:-remove_count] + avg_pb = round(sum(pb_values_filtered) / len(pb_values_filtered), 2) + else: + avg_pb = round(sum(pb_values_sorted) / len(pb_values_sorted), 2) return { "success": True, "industry_name": industry_name, - "data_date": data_date.strftime('%Y-%m-%d') if data_date else None, - "avg_pe": round(float(avg_pe), 2) if avg_pe is not None else None, - "avg_pb": round(float(avg_pb), 2) if avg_pb is not None else None, - "stock_count": int(stock_count) + "avg_pe": avg_pe, + "avg_pb": avg_pb } except Exception as e: logger.error(f"获取行业 {industry_name} 最新估值数据失败: {e}")