def monte_carlo():
form = MonteCarloForm()
if form.rate.data is not None:
rate = float(form.rate.data)
else:
rate = 0.07
if form.sigma.data is not None:
sigma = float(form.sigma.data)
else:
sigma = 0.15
if form.time.data is not None:
time = int(form.time.data)
else:
time = 10
if form.start_val.data is not None:
start_value = float(form.start_val.data)
else:
start_value = all_accounts_sum()
paths = gen_monte_carlo_paths(start_value, r=rate, sigma=sigma, time=time)
session['paths'] = paths[:, :20]
session['final_prices'] = paths[-1]
stats = stats_from_paths(paths)
mean = locale.currency(paths[-1].mean(), grouping=True)
return render_template("monte_carlo.html",
paths=paths,
stats=stats,
start_value=("{:.2f}".format(start_value)),
start_val_for=locale.currency(start_value, grouping=True),
rate=rate,
sigma=sigma,
time=time,
mean=mean,
form=form)
def index():
accounts = Account.query.all()
if request.args.get('current'):
update_account_prices(accounts, db)
accounts_total = locale.currency(all_accounts_sum(), grouping=True)
return render_template("index.html", accounts=accounts, total=accounts_total,
account_type_sums=account_by_retirement_sub_type(),
account_owner_sums=format_sums(account_by_owner_sums()),
retirement_class_sums=format_sums(retirement_class_sums())
)
def test_all_accounts_sum(self):
self.seed_db()
total = all_accounts_sum()
self.assertEqual(total, 2020.38 * 100 + 50 * 25.05 + 152.63 * 2020.38)