stocks

问题 I'm wondering if there's an efficient way to get X number of rows below and above a subset of rows. I've created a basic implementation below, but I'm sure there's a better way. The subset that I care about is buyindex, which is the indices of rows that have the buy signal. I want to get several rows above and below the sellindex to verify that my algorithm is working correctly. How do I do it in an efficient way? My way seems roundabout. buyindex = list(data2[data2['buy'] == True].index)

问题 Here’s a general question that maybe someone could point me in the right direction. I’m getting into Reinforcement Learning with Python 3.6/Tensorflow and I have found/tweaked my own model to train on historical data from a particular stock. My question is, is it possible to train this model on more than just one stock’s dataset? Every single machine learning article I’ve read on time series prediction and RL uses one dataset for training and testing, but my goal is to train a model on a

问题 I have a vector of stock prices throughout the day: > head(bidStock) [,1] [1,] 1179.754 [2,] 1178.000 [3,] 1178.438 [4,] 1178.367 [5,] 1178.830 [6,] 1178.830 I want to find two things. As I the algorithm goes through the day. I want it to find how far the current point is from the historical minimum and maxim throughout the day. There is a function called 'mdd' in the 'stocks' package which finds the maximum draw down throughout the day (i.e. the lowest value which corresponds to a point

问题 I would like to loop through a list of stock symbols and print them with chartSeries . It would be easier than always changing the argument. Unfortunatly I always get an error, when I want to loop or subset: Error in try.xts(x, error = "chartSeries requires an xtsible object"): chartSeries requires an xtsible object Here the code that produces the error: library(quantmod) stocks <- c("FIS", "AXP", "AVB") symbols <- (getSymbols(stocks, src='yahoo')) for (i in symbols){ chartSeries(i, theme=

问题 I would like to loop through a list of stock symbols and print them with chartSeries . It would be easier than always changing the argument. Unfortunatly I always get an error, when I want to loop or subset: Error in try.xts(x, error = "chartSeries requires an xtsible object"): chartSeries requires an xtsible object Here the code that produces the error: library(quantmod) stocks <- c("FIS", "AXP", "AVB") symbols <- (getSymbols(stocks, src='yahoo')) for (i in symbols){ chartSeries(i, theme=

问题 I would like to loop through a list of stock symbols and print them with chartSeries . It would be easier than always changing the argument. Unfortunatly I always get an error, when I want to loop or subset: Error in try.xts(x, error = "chartSeries requires an xtsible object"): chartSeries requires an xtsible object Here the code that produces the error: library(quantmod) stocks <- c("FIS", "AXP", "AVB") symbols <- (getSymbols(stocks, src='yahoo')) for (i in symbols){ chartSeries(i, theme=

问题 I would like to loop through a list of stock symbols and print them with chartSeries . It would be easier than always changing the argument. Unfortunatly I always get an error, when I want to loop or subset: Error in try.xts(x, error = "chartSeries requires an xtsible object"): chartSeries requires an xtsible object Here the code that produces the error: library(quantmod) stocks <- c("FIS", "AXP", "AVB") symbols <- (getSymbols(stocks, src='yahoo')) for (i in symbols){ chartSeries(i, theme=

来源： https://stackoverflow.com/questions/11500539/python-indexerror-list-index-out-of-range

来源： https://stackoverflow.com/questions/11500539/python-indexerror-list-index-out-of-range

问题 I have installed pandas-daatreader but both the Google and Yahoo APIs for downloading historical stock price data have been deprecated. import pandas_datareader.data as web start_date = '2018-01-01' end_date = '2018-06-08' panel_data = web.DataReader('SPY', 'yahoo', start_date, end_date) ImmediateDeprecationError: Yahoo Daily has been immediately deprecated due to large breaks in the API without the introduction of a stable replacement. Pull Requests to re-enable these data connectors are