Module: Yfinrb::PriceHistory

Extended by:
ActiveSupport::Concern
Includes:
ActionView::Helpers::NumberHelper
Included in:
Ticker
Defined in:
lib/yfinrb/price_history.rb

Constant Summary collapse

PRICE_COLNAMES = 
['Open', 'High', 'Low', 'Close', 'Adj Close']
BASE_URL = 
'https://query2.finance.yahoo.com'

Class Method Summary collapse

Instance Method Summary collapse

Class Method Details

.included(base) ⇒ Object

attr_accessor :ticker



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# File 'lib/yfinrb/price_history.rb', line 14

def self.included(base) # built-in Ruby hook for modules
  base.class_eval do
    original_method = instance_method(:initialize)
    define_method(:initialize) do |*args, &block|
      original_method.bind(self).call(*args, &block)
      initialize_price_history # (your module code here)
    end
  end
end

Instance Method Details

#actions ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 255

def actions
  history(period: "max") if @history.nil?

  # Rails.logger.info { "#{__FILE__}:#{__LINE__} @history = #{@history.inspect}" }
  if !@history.nil? #&& @history.columns.include?("Dividends") && @history.columns.include?("Stock Splits")
    # action_columns = ["Dividends", "Stock Splits"]

    # action_columns.append("Capital Gains") if @history.columns.include?("Capital Gains")

    # actions = @history[action_columns]
    # return actions[actions != 0].dropna(how: 'all').fillna(0)
    df = @history.dup.drop('Open','High','Low','Close','Adj Close', 'Volume')
    return df.filter((Polars.col('Stock Splits')>0.0) | (Polars.col('Dividends')>0.0) | (Polars.col('Capital Gains')>0.0)) #Polars::DataFrame.new(stspl)
  end
  return Polars::Series.new
end

#capital_gains ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 225

def capital_gains
  history(period: "max") if @history.nil?

  if !@history.nil? # && @history['events'].keys.include?("capital gains")
    # caga = []
    # @history['events']['capital gains'].each_pair {|k,v| caga << { Timestamps: Time.at(k).utc.to_date, Value: v['amount']} }
    # capital_gains = @history["Capital Gains"]
    # return capital_gains[capital_gains != 0]
    # Rails.logger.info { "#{__FILE__}:#{__LINE__} @history = #{@history.inspect}" }
    df = @history.dup.drop('Open','High','Low','Close','Adj Close', 'Volume','Stock Splits', 'Dividends')
    return df.filter(Polars.col('Capital Gains')>0.0)
  end
  return Polars::Series.new
end

#currency ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 272

def currency
  if @currency.nil?

    md = history_metadata #(proxy=self.proxy)
    @currency = md["currency"]
  end
  return @currency
end

#day_high ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 373

def day_high
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} @day_high = #{@day_high}" }
  return @day_high unless @day_high.nil?

  # Rails.logger.info { "#{__FILE__}:#{__LINE__} @day_high = #{@day_high}" }
  prices = _get_1y_prices
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} prices = #{prices.inspect}" }
  # if prices.empty?
  #   @day_high = nil

  # else
  @day_high = (prices["High"][-1])
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} @day_high = #{@day_high}" }
  @day_high = nil if @day_high.nan?
  # end

  # Rails.logger.info { "#{__FILE__}:#{__LINE__} @day_high = #{@day_high}" }
  return @day_high
end

#day_low ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 393

def day_low
  return @day_low unless @day_low.nil?

  prices = _get_1y_prices
  if prices.empty?
    @day_low = nil

  else
    @day_low = (prices["Low"][-1])
    @day_low = nil if @day_low.nan?
  end

  return @day_low
end

#dividends ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 212

def dividends
  history(period: "max") if @history.nil?

  if !@history.nil? # && @history['events'].keys.include?("dividends")
    df = @history.dup.drop('Open','High','Low','Close','Adj Close', 'Volume','Stock Splits','Capital Gains')
    return df.filter(Polars.col('Dividends')>0.0)
    # divi = []
    # @history['events']["dividends"].each_pair {|k,v| divi << { Timestamps: Time.at(k.to_i).utc.to_date, Value: v['amount']} }
    # return Polars::DataFrame.new( divi )
  end
  return Polars::Series.new
end

#exchange ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 204

def exchange
  return @exchange ||= _get_exchange_metadata["exchangeName"]
end

#fifty_day_average ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 416

def fifty_day_average
  return @_50d_day_average unless @_50d_day_average.nil?

  prices = _get_1y_prices(fullDaysOnly=true)
  if prices.empty?
    @_50d_day_average = nil

  else
    n = prices.shape.first
    a = n-50
    b = n
    a = 0 if a < 0

    @_50d_day_average = (prices["Close"][a..b].mean)
  end

  return @_50d_day_average
end

#history(period: "1mo", interval: "1d", start: nil, fin: nil, prepost: false, actions: true, auto_adjust: true, back_adjust: false, repair: false, keepna: false, rounding: false, raise_errors: false, returns: false) ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 35

def history(period: "1mo", interval: "1d", start: nil, fin: nil, prepost: false,
            actions: true, auto_adjust: true, back_adjust: false, repair: false, keepna: false,
            rounding: false, raise_errors: false, returns: false)
  logger = Rails.logger # Yfin.get_yf_logger
  start_user = start
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} here" }
  end_user = fin || DateTime.now

  # Rails.logger.info { "#{__FILE__}:#{__LINE__} here" }
  params = _preprocess_params(start, fin, interval, period, prepost, raise_errors)
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} params=#{params.inspect}" }

  params_pretty = params.dup

  ["period1", "period2"].each do |k|
    params_pretty[k] = DateTime.strptime(params[k].to_s, '%s').new_offset(0).to_time.strftime('%Y-%m-%d %H:%M:%S %z') if params_pretty.key?(k)
  end

  data = _get_data(ticker, params, fin, raise_errors)
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} data = #{data.inspect}" }
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} data[chart][result].first.keys = #{data['chart']['result'].first.keys.inspect}" }
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} data[chart][result].first[events] = #{data['chart']['result'].first['events'].inspect}" }
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} data[chart][result].first[events][dividends] = #{data['chart']['result'].first['events']['dividends'].inspect}" }
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} data[chart][result].first[events][splits] = #{data['chart']['result'].first['events']['splits'].inspect}" }
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} @history = #{@history.inspect}" }

  @history_metadata = data["chart"]["result"][0]["meta"] rescue {}
  @history = data["chart"]["result"][0]

  intraday = params["interval"][-1] == "m" || params["interval"][-1] == "h"

  err_msg = _get_err_msg(params['period1'], period, start, params['period2'], fin, params['interval'], params['intraday'])
  # err_msg = _get_err_msg(start, period, start_user, fin, end_user, interval, intraday)
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} err_msg = #{err_msg}" }

  f = _did_it_fail(data, period, @history_metadata)
  failed = f[:fail]
  err_msg = f[:msg]

  if failed
    if raise_errors
      raise Exception.new("#{ticker}: #{err_msg}")
    else
      logger.error("#{ticker}: #{err_msg}")
    end
    if @reconstruct_start_interval && @reconstruct_start_interval == interval
      @reconstruct_start_interval = nil
    end
    return Yfinrb::Utils.empty_df
  end

  # begin
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} data[chart][result][0] = #{data["chart"]["result"][0].inspect}" }
  quotes = _parse_quotes(data["chart"]["result"][0], interval)
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} @history = #{@history.inspect}" }
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} data = #{data.inspect}" }

  # Rails.logger.info { "#{__FILE__}:#{__LINE__} quotes=#{quotes.inspect}" }
  # if fin && !quotes.empty?
  #   endDt = fin.to_datetime.to_i # DateTime.strptime(fin.to_s, '%s').new_offset(0)
  #   if quotes.index[quotes.shape[0] - 1] >= endDt
  #     quotes = quotes[0..quotes.shape[0] - 2]
  #   end
  # end

  # Rails.logger.info { "#{__FILE__}:#{__LINE__} here" }
  # rescue Exception
  #   if raise_errors
  #     raise Exception.new("#{ticker}: #{err_msg}")
  #   else
  #     logger.error("#{ticker}: #{err_msg}")
  #   end
  #   if @reconstruct_start_interval && @reconstruct_start_interval == interval
  #     @reconstruct_start_interval = nil
  #   end
  #   return nil
  # end

  # Rails.logger.info { "#{__FILE__}:#{__LINE__} here" }
  quote_type = @history_metadata["instrumentType"]
  expect_capital_gains = quote_type == 'MUTUALFUND' || quote_type == 'ETF'
  tz_exchange = @history_metadata["exchangeTimezoneName"]

  quotes = _set_df_tz(quotes, params["interval"], tz_exchange)
  quotes = _fix_yahoo_dst_issue(quotes, params["interval"])
  quotes = _fix_yahoo_returning_live_separate(quotes, params["interval"], tz_exchange)

  intraday = params["interval"][-1] == "m" || params["interval"][-1] == "h"

  if !prepost && intraday && @history_metadata.key?("tradingPeriods")
    tps = @history_metadata["tradingPeriods"]
    if !tps.is_a?(Polars::DataFrame)
      @history_metadata = _format_history_metadata(@history_metadata, tradingPeriodsOnly: true)
      tps = @history_metadata["tradingPeriods"]
    end
    quotes = _fix_yahoo_returning_prepost_unrequested(quotes, params["interval"], tps)
  end

  # Rails.logger.info { "#{__FILE__}:#{__LINE__} quotes = #{quotes.inspect}" }
  df = _get_stock_data(quotes, params, fin)
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} df = #{df.inspect}" }

  if repair
    #   df = _fix_unit_mixups(df, interval, tz_exchange, prepost)
    #   df = _fix_bad_stock_split(df, interval, tz_exchange)
    #   df = _fix_zeroes(df, interval, tz_exchange, prepost)
    #   df = _fix_missing_div_adjust(df, interval, tz_exchange)
    #   df = df.sort_index
  end

  if auto_adjust
    #   df = _auto_adjust(df)
  elsif back_adjust
    #   df = _back_adjust(df)
  end

  if rounding
    # df = df.round(data["chart"]["result"][0]["meta"]["priceHint"])
  end

  df["Volume"] = df["Volume"].fill_nan(0) #.astype(Integer)

  # df.index.name = intraday ? "Datetime" : "Date"
  # [0..df['Timestamps'].length-2].each{|i| df['Timestamps'][i] = df['Timestamps'][i].round("1d") } unless intraday
  unless intraday
    s = Polars::Series.new(df['Timestamps']).to_a
    df['Timestamps'] = (0..s.length-1).to_a.map{|i| Time.at(s[i]).to_date }
  end

  @history = df.dup

  # Rails.logger.info { "#{__FILE__}:#{__LINE__} actions = #{actions}" }
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} @history = #{@history.inspect}" }
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} df = #{df.inspect}" }
  df = df.drop(["Dividends", "Stock Splits", "Capital Gains"], errors: 'ignore') unless actions

  if !keepna
      # price_colnames = ['Open', 'High', 'Low', 'Close', 'Adj Close']
      # data_colnames = price_colnames + ['Volume'] + ['Dividends', 'Stock Splits', 'Capital Gains']
      # data_colnames = data_colnames.select { |c| df.columns.include?(c) }
      # mask_nan_or_zero = (df[data_colnames].isnan? | (df[data_colnames] == 0)).all(axis: 1)
      # df = df.drop(mask_nan_or_zero.index[mask_nan_or_zero])
  end

  # logger.debug("#{ticker}: yfinance returning OHLC: #{df.index[0]} -> #{df.index[-1]}")

  @reconstruct_start_interval = nil if @reconstruct_start_interval && @reconstruct_start_interval == interval

  # Rails.logger.info { "#{__FILE__}:#{__LINE__} df = #{df.inspect}" }
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} df.rows = #{df.rows}" }
  if returns && df.shape.first > 1
    df['Returns'] = [Float::NAN] + (1..df.length-1).to_a.map {|i| (df['Close'][i]-df['Close'][i-1])/df['Close'][i-1] }
  end
  # Rails.logger.info { "#{__FILE__}:#{__LINE__} df = #{df.inspect}" }

  return df
end

#history_metadata ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 194

def history_metadata
  history(period: "1wk", interval: "1h", prepost: true) if @history_metadata.nil?

  if !@history_metadata_formatted
    @history_metadata = _format_history_metadata(@history_metadata)
    @history_metadata_formatted = true
  end
  return @history_metadata
end

#initialize_price_history ⇒ Object

(ticker)



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# File 'lib/yfinrb/price_history.rb', line 24

def initialize_price_history #(ticker)
  # ticker = ticker

  @history = nil
  @history_metadata = nil
  @history_metadata_formatted = false
  @reconstruct_start_interval = nil

  yfconn_initialize
end

#last_price ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 290

def last_price
  return @last_price unless @last_price.nil?

  prices = _get_1y_prices

  if prices.empty?
    @md ||= _get_exchange_metadata
    @last_price = md["regularMarketPrice"] if "regularMarketPrice".in?(@md)

  else
    @last_price = (prices["Close"][-1]).to_f
    if @last_price.nan?
      @md ||= _get_exchange_metadata
      @last_price = md["regularMarketPrice"] if "regularMarketPrice".in?(@md)
    end
  end

  return @last_price
end

#last_volume ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 408

def last_volume
  return @last_volume unless @last_volume.nil?

  prices = _get_1y_prices
  @last_volume = prices.empty? ? nil : (prices["Volume"][-1])
  return @last_volume
end

#market_cap ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 517

def market_cap
  return @mcap unless @mcap.nil?

  begin
    # shares = self.shares
    # Rails.logger.info { "#{__FILE__}:#{__LINE__} shares = #{shares}" }
    sh = shares
    lp = last_price
    @mcap = shares * last_price
    # @mcap = 'US$' + number_to_human((shares * last_price), precision: 4)
  rescue Exception => e
    if "Cannot retrieve share count".in?(e.message) || "failed to decrypt Yahoo".in?(e.message)
      shares = nil
    else
      raise
    end

    # if shares.nil?
    #   # Very few symbols have marketCap despite no share count.
    #   # E.g. 'BTC-USD'
    #   # So fallback to original info[] if available.
    #   info
    #   k = "marketCap"
    #   @mcap = _quote._retired_info[k] if !_quote._retired_info.nil? && k.in?(_quote._retired_info)

    # else
    #   @mcap = float(shares * self.last_price)
    # end

    return nil #@mcap
  end
end

#open ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 358

def open
  return @open unless @open.nil?

  prices = _get_1y_prices
  if prices.empty
    @open = nil

  else
    @open = (prices["Open"][-1])
    @open = nil if @open.nan?
  end

  return @open
end

#previous_close ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 310

def previous_close
  return @prev_close unless @prev_close.nil?

  prices = _get_1wk_1h_prepost_prices

  fail = prices.empty?
  prices = fail ? prices : prices[["Close"]].groupby('Timestamps', maintain_order: true).agg([Polars.col("Close")]).to_f 

  # Very few symbols have previousClose despite no
  # no trading data e.g. 'QCSTIX'.
  fail = prices.shape.first < 2
  @prev_close = fail ? nil : (prices["Close"][-2]).to_f

  # if fail
  #   # Fallback to original info[] if available.
  #   info  # trigger fetch
  #   k = "previousClose"
  #   @prev_close = _quote._retired_info[k] if !_quote._retired_info.nil? && k.in?(_quote._retired_info)
  # end
  return @prev_close
end

#quote_type ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 281

def quote_type
  if @quote_type.nil?

    md = history_metadata #(proxy=self.proxy)
    @quote_type = md["instrumentType"]
  end
  return @quote_type
end

#regular_market_previous_close ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 332

def regular_market_previous_close
  return @reg_prev_close unless @reg_prev_close.nil?

  prices = _get_1y_prices
  if prices.shape[0] == 1
    # Tiny % of tickers don't return daily history before last trading day,
    # so backup option is hourly history:
    prices = _get_1wk_1h_reg_prices
    prices = prices[["Close"]].groupby(prices.index.date).last
  end

  # if prices.shape[0] < 2
  #   # Very few symbols have regularMarketPreviousClose despite no
  #   # no trading data. E.g. 'QCSTIX'.
  #   # So fallback to original info[] if available.
  #   info  # trigger fetch
  #   k = "regularMarketPreviousClose"
  #   @reg_prev_close = _quote._retired_info[k] if !_quote._retired_info.nil? && k.in?(_quote._retired_info)

  # else
  #   @reg_prev_close = float(prices["Close"].iloc[-2])
  # end

  return @reg_prev_close
end

#splits ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 240

def splits
  history(period: "max") if @history.nil?

  if !@history.nil?  #&& @history['events'].keys.include?("stock splits") # @history.columns.include?("Stock Splits")
    # stspl = []
    # @history['events']['stock splits'].each_pair {|k,v| stspl << { Timestamps: Time.at(k.to_i).utc.to_date, Ratio: v['numerator'].to_f/v['denominator'].to_f } }

    # splits = @history["Stock Splits"]
    # return splits[splits != 0]
    df = @history.dup.drop('Open','High','Low','Close','Adj Close', 'Volume','Capital Gains','Dividends')
    return df.filter(Polars.col('Stock Splits')>0.0) #Polars::DataFrame.new(stspl)
  end
  return Polars::Series.new
end

#ten_day_average_volume ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 454

def ten_day_average_volume
  return @_10d_avg_vol unless @_10d_avg_vol.nil?

  prices = _get_1y_prices(fullDaysOnly=true)
  if prices.empty?
    @_10d_avg_vol = nil

  else
    n = prices.shape[0]
    a = n-10
    b = n
    a = 0 if a < 0

    @_10d_avg_vol = (prices["Volume"][a..b].mean)

  end
  return @_10d_avg_vol
end

#three_month_average_volume ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 473

def three_month_average_volume
  return @_3mo_avg_vol unless @_3mo_avg_vol.nil?

  prices = _get_1y_prices(fullDaysOnly=true)
  if prices.empty
    @_3mo_avg_vol = nil

  else
    dt1 = prices.index[-1]
    dt0 = dt1 - 3.months + 1.day
    @_3mo_avg_vol = (prices[dt0..dt1]["Volume"].mean)
  end

  return @_3mo_avg_vol
end

#timezone ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 208

def timezone
  return @timezone ||= _get_exchange_metadata["exchangeTimezoneName"]
end

#two_hundred_day_average ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 435

def two_hundred_day_average
  return @_200d_day_average unless @_200d_day_average.nil?

  prices = _get_1y_prices(fullDaysOnly=true)
  if prices.empty?
    @_200d_day_average = nil

  else
    n = prices.shape[0]
    a = n-200
    b = n
    a = 0 if a < 0

    @_200d_day_average = (prices["Close"][a..b].mean)
  end

  return @_200d_day_average
end

#year_change ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 509

def year_change
  if @year_change.nil?
    prices = _get_1y_prices(fullDaysOnly=true)
    @year_change = (prices["Close"][-1] - prices["Close"][0]) / prices["Close"][0] if prices.shape[0] >= 2
  end
  return @year_change
end

#year_high ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 489

def year_high
  if @year_high.nil?
    prices = _get_1y_prices(fullDaysOnly=true)
    prices = _get_1y_prices(fullDaysOnly=false) if prices.empty?

    @year_high = (prices["High"].max)
  end
  return @year_high
end

#year_low ⇒ Object 



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# File 'lib/yfinrb/price_history.rb', line 499

def year_low
  if @year_low.nil?
    prices = _get_1y_prices(fullDaysOnly=true)
    prices = _get_1y_prices(fullDaysOnly=false) if prices.empty?

    @year_low = (prices["Low"].min)
  end
  return @year_low
end