Roman Nikitin rnikitin

## Optimize-NSGAII.py
import json
import signal
import sys
from subprocess import PIPE, Popen, call

import jessetk.utils as utils
import optuna

# Multi-objective NSGAII hyperparameters optimization with Optuna
# Wraps Jesse ai's backtest function as an objective function

## Pick-Parameters.py
import optuna
import statistics
import json

# This code snippet filters Optuna trials based on performance metrics and standard deviation
# and generates a results.csv file containing all results
# and a SEQ.py file containing all hyperparameters

study = optuna.create_study(study_name="Band5min-LongOnly", directions=["maximize", "maximize"],
                                storage="postgresql://optuna_user:optuna_password@localhost/optuna_db_3", load_if_exists=True)

## fold.html
<!doctype html>
<html lang="en">
<head>

	<!-- Meta -->
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<title>Css3 Fold Effect</title>
	import json
	import signal
	import sys
	from subprocess import PIPE, Popen, call

	import jessetk.utils as utils
	import optuna

	# Multi-objective NSGAII hyperparameters optimization with Optuna
	# Wraps Jesse ai's backtest function as an objective function
	import optuna
	import statistics
	import json

	# This code snippet filters Optuna trials based on performance metrics and standard deviation
	# and generates a results.csv file containing all results
	# and a SEQ.py file containing all hyperparameters

	study = optuna.create_study(study_name="Band5min-LongOnly", directions=["maximize", "maximize"],
	storage="postgresql://optuna_user:optuna_password@localhost/optuna_db_3", load_if_exists=True)
	<!doctype html>
	<html lang="en">
	<head>

	<!-- Meta -->
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<title>Css3 Fold Effect</title>