a6296be2f5
Update market_change datatype
2022-10-04 10:27:04 +00:00
016e438468
Calculate market-change in hyperopt
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closes #7532
2022-10-04 08:37:07 +00:00
a1a62681bf
add fixes for random test failures
2022-09-26 08:11:00 +00:00
667853c504
Use Alias to type config objects
2022-09-18 13:20:55 +02:00
982c0315fa
Rename variable
2022-09-11 19:31:11 +02:00
72d197a99d
Run first epoch in non-parallel mode
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this allows dataprovider to load it's cache.
closes #7384
2022-09-11 17:51:07 +02:00
78cd46ecd5
hyperopt Remove unnecessary arguments
2022-09-11 14:59:39 +02:00
32e13d65c3
Refactor hyperopt to extract evaluate_result
2022-09-11 14:59:39 +02:00
a48923c0e4
Extract widget colorization to separate function
2022-09-11 14:59:39 +02:00
4dec19de9f
Add comment to explain why we use the non-trimmed DF
2022-09-06 06:52:50 +02:00
9f5642fd97
fix hyperopt df preprocessing
2022-09-05 18:12:19 +02:00
bc359675a2
Add --analyze-per-epoch - moving populate_analysis to the epoch process
2022-08-19 15:19:43 +02:00
09f8904545
Extract analysis to separate method
2022-08-19 15:12:55 +02:00
0b0e7eaf96
Mutex TTL Cache accesses which can be accessed by multiple threads
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Apparently, cachetools is (intentionally) not threadsafe
when using the Caches directly.
It's therefore recommended to wrap these with an explicit lock to avoid
problems.
source: https://github.com/tkem/cachetools/issues/245
closes #7215
2022-08-16 19:48:21 +02:00
40e2da10f3
Add hypeorpt cloudpickle magic
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closes #7078
2022-07-16 11:49:33 +02:00
8bf0bf10c5
Merge branch 'develop' into pr/SmartManoj/6859
2022-06-23 20:43:35 +02:00
7142394121
remove random_state condition
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otherwise the random sample always draws the same set of points
2022-06-10 09:46:45 +01:00
dce9fdd0e4
don't overwrite is_random
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this should fix issue #6746
2022-06-09 20:06:23 +01:00
e3beaae8be
update hyperopt typing
2022-05-22 19:32:32 +02:00
2b61aa282a
Removed None in dict.get()
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https://stackoverflow.com/a/12631641
Extra Changes: freqtrade\freqtradebot.py:70
freqtrade\plugins\pairlistmanager.py:31
2022-05-18 03:41:10 +05:30
1e83589641
Fix hyperopt
2022-04-28 06:59:03 +02:00
f2912f8815
Improve mypy runs
2022-04-23 11:31:12 +02:00
5a90d5ece6
Fix docstring quotes
2022-04-23 09:44:04 +02:00
340c0ea391
update is_random before asked_non_tried
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is_random depends on asked_non_tried and needs to be updated first
2022-04-14 14:15:11 +01:00
35cea6dcfa
fix unique_list
2022-04-13 09:36:46 +01:00
fa298d6f1c
fix unique_list logic
2022-04-12 23:57:40 +01:00
54633e90a7
Merge branch 'develop' into pr/italodamato/6563
2022-04-10 09:16:31 +02:00
1559692e47
Update hyperopt.py
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remove duplicates from list of asked points
2022-04-08 11:44:42 +01:00
4897731030
use_sell_signal -> use_exit_signal
2022-04-05 20:10:20 +02:00
9f171193ef
Revert "Merge branch 'plot_hyperopt_stats' into opt-ask-force-new-points"
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This reverts commit 4eb9cc6e8ba3b401a762
2022-03-30 09:39:07 +01:00
b91b7b4464
Fix hyperopt assigning sell_signal to wrong field
2022-03-30 07:16:48 +02:00
4eb9cc6e8b
Merge branch 'plot_hyperopt_stats' into opt-ask-force-new-points
2022-03-30 00:30:33 +01:00
a3b401a762
highlight random points in hyperopt results table
2022-03-30 00:29:14 +01:00
229b0b037e
reduce search loops
2022-03-29 19:33:35 +01:00
bcf326a035
Initial steps to change bid/ask pricing to enter/exit
2022-03-27 18:03:49 +02:00
b5a346a46d
Update hyperopt.py
2022-03-22 11:01:38 +00:00
2733aa33b6
Update hyperopt.py
2022-03-22 00:28:11 +00:00
37a43019d6
fix
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- clear cache before calling `ask`
- avoid errors in case asked_non_tried has less than n_points elements
2022-03-21 11:36:53 +00:00
fca93d8dfe
Update hyperopt.py
2022-03-20 16:12:06 +00:00
f8a674f24d
make robust in case all points have been tried
2022-03-20 16:08:38 +00:00
23f1a1904b
more compact
2022-03-20 16:06:41 +00:00
0fd269e4f0
typo
2022-03-20 16:03:07 +00:00
e16bb1b34e
Optimize only new points
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Enforce points returned from `self.opt.ask` have not been already evaluated
2022-03-20 16:02:03 +00:00
d796ce0935
Update hyperopt.py
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1. Try to get points using `self.opt.ask` first
2. Discard the points that have already been evaluated
3. Retry using `self.opt.ask` up to 3 times
4. If still some points are missing in respect to `n_points`, random sample some points
5. Repeat until at least `n_points` points in the `asked_non_tried` list
6. Return a list with legth truncated at `n_points`
2022-03-20 15:41:14 +00:00
d2a5448305
Update hyperopt.py
2022-03-11 17:38:32 +00:00
eb30c40e0c
Fix hyperopt for futures
2022-03-02 19:50:16 +01:00
d03378b1df
Update hyperopt.py
2022-02-06 15:32:59 +00:00
adf8f6b2d5
Update hyperopt.py
2022-02-06 10:33:49 +00:00
6c1729e20b
ignore warnings
2022-02-06 01:07:30 +00:00
6a4cae1f8c
Update hyperopt.py
2022-02-06 00:17:48 +00:00
Matthias
Italo
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