added daily sharpe ratio hyperopt loss method, ty @djacky (#2826)

* more consistent backtesting tables and labels

* added rounding to Tot Profit % on Sell Reasosn table to be consistent with other percentiles on table.

* added daily sharpe ratio hyperopt loss method, ty @djacky

* removed commented code

* removed unused profit_abs

* added proper slippage to each trade

* replaced use of old value total_profit

* Align quotes in same area

* added daily sharpe ratio test and modified hyperopt_loss_sharpe_daily

* fixed some more line alignments

* updated docs to include SharpeHyperOptLossDaily

* Update dockerfile to 3.8.1

* Run tests against 3.8

* added daily sharpe ratio hyperopt loss method, ty @djacky

* removed commented code

* removed unused profit_abs

* added proper slippage to each trade

* replaced use of old value total_profit

* added daily sharpe ratio test and modified hyperopt_loss_sharpe_daily

* updated docs to include SharpeHyperOptLossDaily

* docs fixes

* missed one fix

* fixed standard deviation line

* fixed to bracket notation

* fixed to bracket notation

* fixed syntax error

* better readability, kept np.sqrt(365) which results in  annualized sharpe ratio

* fixed method arguments indentation

* updated commented out debug print line

* renamed after slippage profit_percent so it wont affect _calculate_results_metrics()

* Reworked to fill leading and trailing days

* No need for np; make flake happy

* Fix risk free rate

Co-authored-by: Matthias <xmatthias@outlook.com>
Co-authored-by: hroff-1902 <47309513+hroff-1902@users.noreply.github.com>

docs/bot-usage.md

@@ -337,8 +337,8 @@ optional arguments:
                         generate completely different results, since the
                         target for optimization is different. Built-in
                         Hyperopt-loss-functions are: DefaultHyperOptLoss,
-                        OnlyProfitHyperOptLoss, SharpeHyperOptLoss (default:
-                        `DefaultHyperOptLoss`).
+                        OnlyProfitHyperOptLoss, SharpeHyperOptLoss,
+                        SharpeHyperOptLossDaily (default: `DefaultHyperOptLoss`).
 
 Common arguments:
   -v, --verbose         Verbose mode (-vv for more, -vvv to get all messages).