Python Stock.get_stocks方法代码示例

# 需要导入模块: from models import Stock [as 别名]
# 或者: from models.Stock import get_stocks [as 别名]
def stock():
    if not account.user_is_logged_in():
        return redirect(url_for("login"))
    ticker = request.args.get("ticker", "AAPL") # TODO: no ticker is error...

    # Find the stock.
    stock = Stock.get_stock_from_db(ticker)

    # Check for errors.
    if stock == -1:
        N_STOCKS = 20 # number of stocks to retrieve
        tickers = Stock.get_all_tickers()
        stocks = Stock.get_stocks(N_STOCKS, True) # default: list of stocks by alpha order

        return render_template("home.html",
                               error="No ticker matching that name could be found.",
                               tickers = tickers, stocks = stocks,
                               metric = "alpha", order = True,
                               has_recs = account.user_has_recommendations())

    # Get the prices with corresponding dates.
    # Produce formatted date strings to paste into HTML.
    price_time_series = Stock.get_time_series(ticker, 7)
    price_dates = price_time_series.keys()
    price_dates.sort()
    price_dates_str = []
    price_values = []
    for curr_date in price_dates:
        price_values.append(price_time_series[curr_date])
        price_dates_str.append(curr_date.strftime("%m-%d"))

    # Compute price change now-- consistent with time series data!
    price_change = price_values[-1] - price_values[-2]

    # Put a blurb in the stock page if it is recommended.
    stock_is_recommended = False
    if account.user_has_recommendations():
        if stock.ticker in Stock.recommended_tickers:
            stock_is_recommended = True

    return render_template("stock.html", ticker = stock.ticker,
                           name = stock.name, latest_price = stock.cur_price,
                           pe_ratio = stock.pe, market_cap = stock.cap,
                           dividends = stock.dividends,
                           beta = stock.beta,
                           sustainability = stock.sustainability,
                           socialgood = stock.socialgood,
                           american = stock.american,
                           price_change = price_change,
                           price_series_dates = price_dates_str,
                           price_series_values = price_values,
                           recommended = stock_is_recommended)

# 需要导入模块: from models import Stock [as 别名]
# 或者: from models.Stock import get_stocks [as 别名]
def home():
    N_STOCKS = 20 # number of stocks to retrieve
    if not account.user_is_logged_in():
        return redirect(url_for("login"))

    # Get all stock tickers
    tickers = Stock.get_all_tickers()

    # Get default sorting metric and order 
    order = None
    metric = request.args.get("metric", "recs")
    order_arg = request.args.get("order", "lowhigh")
    if order_arg == "lowhigh":
        order = True
    elif order_arg == "highlow":
        order = False

    # Get sorted stocks
    stocks = None
    if metric == "alpha":
        stocks = Stock.get_stocks(N_STOCKS, order)
    elif metric == "price":
        stocks = Stock.get_stocks_sorted_by_price(N_STOCKS, order)
    elif metric == "pe":
        stocks = Stock.get_stocks_sorted_by_pe(N_STOCKS, order)
    elif metric == "risk":
        stocks = Stock.get_stocks_sorted_by_risk(N_STOCKS, order)
    elif metric == "recs":
        stocks = Stock.get_recommendations()
    elif metric == "sustainability":
        stocks = Stock.get_stocks_sorted_by_sustainability(N_STOCKS, order)
    elif metric == "socialgood":
        stocks = Stock.get_stocks_sorted_by_socialgood(N_STOCKS, order)
    elif metric == "american":
        stocks = Stock.get_stocks_sorted_by_american(N_STOCKS, order)

    return render_template("home.html", tickers = tickers, stocks = stocks,
                           metric = metric, order = order,
                           has_recs = account.user_has_recommendations())