Commit Graph

31 Commits

Author SHA1 Message Date
blade ccc5637f9e fix bug for set price_anomaly 2025-08-21 15:36:35 +08:00
blade d397986bad support price abnormal monitor 2025-08-21 15:19:41 +08:00
blade 43bd225cfa optimize trade strategy 2025-08-20 16:40:33 +08:00
blade 1e204839a9 begin to research trade strategy 2025-08-20 11:33:13 +08:00
blade d4291c06a3 statistics: MA trends change 2025-08-18 20:44:54 +08:00
blade a12f34e80c invoke python file by schedule directly, instead of import way. The purpose is to make each event to be totally new initialization action. 2025-08-15 11:37:06 +08:00
blade f929ff8a2f support title with details, and only output records which volume ratio greater than huge volume mean value. 2025-08-14 20:08:48 +08:00
blade 38a4465e29 support statistic volume-hour distribution 2025-08-08 18:02:37 +08:00
blade 5969f427a5 support output last huge volume record 2025-08-08 14:25:01 +08:00
blade 6f72a18663 statistics period data 2025-08-07 18:09:51 +08:00
blade 40a7b02b66 optimize ma long short/ ma cross algorithms 2025-08-06 14:36:22 +08:00
blade 5f5633f4b6 fix issue 2025-08-05 18:30:42 +08:00
blade b2f227cdf4 to show current date time 2025-08-05 17:35:37 +08:00
blade eb07932a3c a little change 2025-08-05 17:08:10 +08:00
blade c6edebe674 complete market monitor functions. 2025-08-05 17:03:59 +08:00
blade 2073f3966f complete market data monitor main logic 2025-08-05 15:30:50 +08:00
blade cd0b64c5c9 update for huge_volume_main.py 2025-08-04 22:36:25 +08:00
blade e0bf2bbbfb fix some issue 2025-08-04 21:43:18 +08:00
blade 89d06d9fbd 1. update database and relevant code
2. support calculate technical metrics.
2025-08-04 21:07:44 +08:00
blade 5a45449b87 support draw chart 2025-08-01 16:18:36 +08:00
blade 4ee8658d89 support statistics price-volume relationship 2025-07-31 20:31:22 +08:00
blade 5bc9b2b8c7 support get huge volume by different window sizes 2025-07-30 17:28:01 +08:00
blade ca2efb002e update for more professional data fetch action 2025-07-30 16:11:34 +08:00
blade c6ff3adc16 1. support update huge volume data
a. update market data at first
b. According to the first updated market data timestamp, get earlier window-size records.
c. Calculate huge volume data by the latest market data
d. Only insert new data to huge volume table
2. rename code file to be more proper.
2025-07-28 16:14:40 +08:00
blade 8a798fee03 refactor code for mysql data handler 2025-07-28 12:29:31 +08:00
blade 1dd829e2cf support statistics huge volume based on market data 2025-07-26 14:41:50 +08:00
blade dbfdeff299 prepare for statistics code
move wechat.py to core folder
update requirements.txt
2025-07-25 16:19:17 +08:00
blade b9e17f54f9 support update data to mysql 2025-07-25 16:12:52 +08:00
blade 8d0fe204af support get market data by API
support store data to mysql database.
2025-07-25 13:11:27 +08:00
blade c670be6f7d support get market data 2025-07-24 18:23:00 +08:00
blade ebf90534ae support both of Perpetual Swap and Swap Trading 2025-07-22 17:59:18 +08:00