blade
69aff37c24
optimize chart output
2025-08-25 16:58:38 +08:00
blade
5700e8e7e1
optimize strategy statistics
2025-08-24 01:44:33 +08:00
blade
b1e7ddc261
combine trade strategy
2025-08-22 18:48:59 +08:00
blade
b322aaa421
optimize statistics
2025-08-21 18:37:33 +08:00
blade
ccc5637f9e
fix bug for set price_anomaly
2025-08-21 15:36:35 +08:00
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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
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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
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b2f227cdf4
to show current date time
2025-08-05 17:35:37 +08:00
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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
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ca2efb002e
update for more professional data fetch action
2025-07-30 16:11:34 +08:00
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c6ff3adc16
1. support update huge volume data
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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
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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
blade
b1c3af6489
fix bug to make process correct
2025-07-21 15:46:48 +08:00
blade
d1079d338d
first
2025-07-21 13:05:59 +08:00
blade