code stringlengths 3 6.57k |
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ask() |
Path(csvpath) |
csvpath.exists() |
sys.exit(f"Oops! Can't find this path: {csvpath}") |
load_csv(csvpath) |
get_applicant_info() |
questionary.text("What's your credit score?") |
ask() |
questionary.text("What's your current amount of monthly debt?") |
ask() |
questionary.text("What's your total monthly income?") |
ask() |
questionary.text("What's your desired loan amount?") |
ask() |
questionary.text("What's your home value?") |
ask() |
int(credit_score) |
float(debt) |
float(income) |
float(loan_amount) |
float(home_value) |
find_qualifying_loans(bank_data, credit_score, debt, income, loan, home_value) |
ratio (calculated) |
ratio (calculated) |
bank_data (list) |
credit_score (int) |
debt (float) |
income (float) |
loan (float) |
home_value (float) |
calculate_monthly_debt_ratio(debt, income) |
print(f"The monthly debt to income ratio is {monthly_debt_ratio:.02f}") |
calculate_loan_to_value_ratio(loan, home_value) |
print(f"The loan to value ratio is {loan_to_value_ratio:.02f}.") |
filter_max_loan_size(loan, bank_data) |
filter_credit_score(credit_score, bank_data_filtered) |
filter_debt_to_income(monthly_debt_ratio, bank_data_filtered) |
filter_loan_to_value(loan_to_value_ratio, bank_data_filtered) |
print(f"Found {len(bank_data_filtered) |
save_qualifying_loans(qualifying_loans) |
qualifying_loans (list of lists) |
questionary.confirm ("Would you like to save the qualifying loans?") |
ask() |
if (choice == T) |
questionary.text ("Please enter the file path") |
ask() |
save_csv(qualifying_loans, filepath) |
run() |
load_bank_data() |
get_applicant_info() |
save_qualifying_loans(qualifying_loans) |
fire.Fire(run) |
timedelta(minutes=1) |
timedelta(hours=1) |
timedelta(days=1) |
__init__(self) |
set() |
clear_data(self) |
self.limit_orders.clear() |
self.active_limit_orders.clear() |
self.trades.clear() |
self.logs.clear() |
self.daily_results.clear() |
add_strategy(self, strategy_class: type, setting: dict) |
copy(self.vt_symbols) |
load_data(self) |
self.output("开始加载历史数据") |
datetime.now() |
self.output("起始日期必须小于结束日期") |
self.history_data.clear() |
self.dts.clear() |
timedelta(days=30) |
min(end, self.end) |
self.dts.add(bar.datetime) |
min(progress, 1) |
int(progress * 10) |
self.output(f"{vt_symbol}加载进度：{progress_bar} [{progress:.0%}]") |
self.output(f"{vt_symbol}历史数据加载完成，数据量：{data_count}") |
self.output("所有历史数据加载完成") |
run_backtesting(self) |
self.strategy.on_init() |
list(self.dts) |
dts.sort() |
enumerate(dts) |
self.new_bars(dt) |
self.output("触发异常，回测终止") |
self.output(traceback.format_exc() |
self.output("策略初始化完成") |
self.strategy.on_start() |
self.output("开始回放历史数据") |
self.new_bars(dt) |
self.output("触发异常，回测终止") |
self.output(traceback.format_exc() |
self.output("历史数据回放结束") |
calculate_result(self) |
self.output("开始计算逐日盯市盈亏") |
self.output("成交记录为空，无法计算") |
self.trades.values() |
trade.datetime.date() |
daily_result.add_trade(trade) |
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