Dobromir Popov
1bf41e06a8
reduce logging. actual training
2025-10-31 03:52:41 +02:00
Dobromir Popov
6ac324289c
fetching data from the DB to train
2025-10-31 03:14:35 +02:00
Dobromir Popov
07150fd019
load market data for training/inference
2025-10-31 01:58:07 +02:00
Dobromir Popov
cefd30d2bd
training fixes
2025-10-31 01:29:05 +02:00
Dobromir Popov
ba91740e4c
improved model loading and training
2025-10-31 01:22:49 +02:00
Dobromir Popov
7ddf98bf18
improved data structure
2025-10-31 00:44:08 +02:00
Dobromir Popov
b8f54e61fa
remove emojis from console
2025-10-25 16:35:08 +03:00
Dobromir Popov
5aa4925cff
training, local log
2025-10-25 16:21:22 +03:00
Dobromir Popov
bd213c44e0
train wip
2025-10-25 00:47:56 +03:00
Dobromir Popov
e816cb9795
model training WIP
2025-10-25 00:17:53 +03:00
Dobromir Popov
c28ee2c432
wip
2025-10-24 23:35:45 +03:00
Dobromir Popov
86a579bea9
fix template again
2025-10-24 23:26:59 +03:00
Dobromir Popov
e9edf2c5f2
fix async model loading
2025-10-24 23:13:28 +03:00
Dobromir Popov
2233a88d3e
infinite lowad WIP
2025-10-24 23:04:29 +03:00
Dobromir Popov
07b82f0a1f
infinite scroll fix
2025-10-24 22:46:44 +03:00
Dobromir Popov
6e58f4d88f
cache fixed, delete buttons fixed
2025-10-24 21:34:23 +03:00
Dobromir Popov
420251f2d4
fix pivot cache db
2025-10-24 17:14:59 +03:00
Dobromir Popov
4b8f44d859
wip duckdb
2025-10-24 16:19:42 +03:00
Dobromir Popov
809c32e7a8
WIP oclcv in storage. migrate do duckdb
2025-10-24 15:57:33 +03:00
Dobromir Popov
d4ed894a92
wip
2025-10-24 14:20:40 +03:00
Dobromir Popov
b970c4ca4d
min pivot distance only applies to L1 pivots ,
...
charts minimize addons,
delete buttons WIP
2025-10-24 13:49:26 +03:00
Dobromir Popov
42bf91b735
use common williams market structure calcs
2025-10-24 12:30:17 +03:00
Dobromir Popov
bd95ff610c
fix pivots - WORKING PIVOTS!
2025-10-24 11:44:25 +03:00
Dobromir Popov
de2ad92602
fixes
2025-10-23 19:43:41 +03:00
Dobromir Popov
0225f4df58
wip wip wip
2025-10-23 18:57:07 +03:00
Dobromir Popov
b0771ff34e
stored
2025-10-23 00:21:22 +03:00
Dobromir Popov
dbab0283c9
wip
2025-10-22 23:42:21 +03:00
Dobromir Popov
f456b2747e
wip
2025-10-22 17:48:44 +03:00
Dobromir Popov
68b91f37bd
better pivots
2025-10-21 11:45:57 +03:00
Dobromir Popov
a8ea9b24c0
fix pivots display
2025-10-20 16:17:43 +03:00
Dobromir Popov
e993bc2831
cache, pivots wip
2025-10-20 15:21:44 +03:00
Dobromir Popov
ba8813f04f
unified cache. LLM report
2025-10-20 11:16:27 +03:00
Dobromir Popov
f464a412dc
uni data storage
2025-10-20 09:48:59 +03:00
Dobromir Popov
002d0f7858
save/load data anotations
2025-10-18 23:44:02 +03:00
Dobromir Popov
7646137f11
annotations work and a re saved
2025-10-18 23:26:54 +03:00
Dobromir Popov
38d6a01f8e
anotation system operational
2025-10-18 18:41:58 +03:00
Dobromir Popov
3d91cb0e8f
rename fix and build fixes
2025-10-18 16:46:23 +03:00
Dobromir Popov
a520ed7e39
folder rename
2025-10-18 16:39:15 +03:00
Dobromir Popov
bc7095308a
anotate ui phase 1
2025-10-18 16:37:13 +03:00
Dobromir Popov
d136f9d79c
data anotation ui/ testcase generation
2025-10-18 16:14:58 +03:00
Dobromir Popov
0c28a0997c
more cleanup
2025-10-13 16:11:06 +03:00
Dobromir Popov
6cf4d902df
update requirements
2025-10-09 15:22:49 +03:00
Dobromir Popov
a86e07f556
tools
2025-10-09 13:58:43 +03:00
Dobromir Popov
270ba2e52b
fix broken merge
2025-10-08 20:02:41 +03:00
Dobromir Popov
a468c75c47
fix merge
2025-10-02 23:50:08 +03:00
Dobromir Popov
8654e08028
renames
2025-10-01 00:34:13 +03:00
Dobromir Popov
388334e4a8
Merge commit 'd49a473ed6f4aef55bfdd47d6370e53582be6b7b' into cleanup
2025-10-01 00:32:19 +03:00
Dobromir Popov
a03b9c5701
improve predictions
2025-10-01 00:30:37 +03:00
Dobromir Popov
0a28cee58d
docs: Add prediction loop integration guide
...
- Document the root cause: models never called for real-time predictions
- Provide step-by-step integration instructions
- Show expected behavior before/after
- Guide for monitoring and validation
2025-10-01 00:17:17 +03:00
Dobromir Popov
510a657092
feat: Add real-time prediction loop - the MISSING piece
...
Create RealtimePredictionLoop to continuously call model.predict() on incoming data
Features:
- Detects new 1s/1m candles and triggers predictions
- Detects pivot points for prediction triggers
- Calls ALL models (CNN, DQN, COB-RL) continuously
- Combines predictions into trading signals
- NO SYNTHETIC DATA - only real market data
This is why model.predict() was only called once at startup - there was NO
continuous prediction loop running on new market data!
2025-10-01 00:16:33 +03:00
