Merge branch 'margin-db' into margin-commands
This commit is contained in:
commit
89060bf180
34
TODO
Normal file
34
TODO
Normal file
@ -0,0 +1,34 @@
|
||||
List of things TODO to add margin trading
|
||||
|
||||
Files to edit
|
||||
freqtrade/freqtradebot.py
|
||||
freqtrade/wallets.py
|
||||
freqtrade/data/btanalysis.py
|
||||
configuration
|
||||
freqtrade/commands/deploy_commands.py
|
||||
freqtrade/commands/arguments.py
|
||||
freqtrade/strategy
|
||||
freqtrade/constants.py
|
||||
|
||||
Tests
|
||||
tests/test_persistence.pys
|
||||
tests/test_freqtradebot.py
|
||||
|
||||
later
|
||||
freqtrade/commands/build_config_commands.py
|
||||
freqtrade/commands/cli_options.py
|
||||
freqtrade/commands/list_commands.py
|
||||
freqtrade/commands/hyperopt_commands.py
|
||||
config_binance.json.example
|
||||
config_kraken.json.example
|
||||
freqtrade/enums/selltype.py
|
||||
|
||||
Did not look at these files
|
||||
freqtrade/plot/plotting.py
|
||||
freqtrade/plugins
|
||||
freqtrade/resolvers/strategy_resolver.py
|
||||
freqtrade/rpc
|
||||
|
||||
Already Edited
|
||||
freqtrade/persistence/migrations.py
|
||||
freqtrade/persistence/models.py
|
16
docs/faq.md
16
docs/faq.md
@ -136,6 +136,22 @@ On Windows, the `--logfile` option is also supported by Freqtrade and you can us
|
||||
> type \path\to\mylogfile.log | findstr "something"
|
||||
```
|
||||
|
||||
### Why does freqtrade not have GPU support?
|
||||
|
||||
First of all, most indicator libraries don't have GPU support - as such, there would be little benefit for indicator calculations.
|
||||
The GPU improvements would only apply to pandas-native calculations - or ones written by yourself.
|
||||
|
||||
For hyperopt, freqtrade is using scikit-optimize, which is built on top of scikit-learn.
|
||||
Their statement about GPU support is [pretty clear](https://scikit-learn.org/stable/faq.html#will-you-add-gpu-support).
|
||||
|
||||
GPU's also are only good at crunching numbers (floating point operations).
|
||||
For hyperopt, we need both number-crunching (find next parameters) and running python code (running backtesting).
|
||||
As such, GPU's are not too well suited for most parts of hyperopt.
|
||||
|
||||
The benefit of using GPU would therefore be pretty slim - and will not justify the complexity introduced by trying to add GPU support.
|
||||
|
||||
There is however nothing preventing you from using GPU-enabled indicators within your strategy if you think you must have this - you will however probably be disappointed by the slim gain that will give you (compared to the complexity).
|
||||
|
||||
## Hyperopt module
|
||||
|
||||
### How many epochs do I need to get a good Hyperopt result?
|
||||
|
Loading…
Reference in New Issue
Block a user