stock | Copyright : Copyright 2016 Osvaldo Jiang

Good afternoon,

When I try to update part of a JSON Object, using ON DUPLICATE KEY UPDATE, how do you update a specific value with a key?

The code executes successfully but all values are updated when I just want the stock to change on update.

Any help would be welcomed, I am not convinced, I understand the MySQL JSON Path syntax, or perhaps JSON_SET cannot achieve my goal?

i am currently working with plotly i have a function called plotChart that takes a dataframe as input and plots a candlestick chart. I am trying to figure out a way to pass a list of dataframes to the function plotChart and use a plotly dropdown menu to show the options on the input list by the stock name. The drop down menu will have the list of dataframe and when an option is clicked on it will update the figure in plotly is there away to do this. below is the code i have to plot a single dataframe

I have an odd problem, where I am struggling to understand the nature of "static context" in Java, despite the numerous SO questions regarding the topic.

TL;DR:

I have a design flaw, where ...

This works:

I am working on certain stock-related projects where I have had a task to scrape all data on a daily basis for the last 5 years. i.e from 2016 to date. I particularly thought of using selenium because I can use crawler and bot to scrape the data based on the date. So I used the use of button click with selenium and now I want the same data that is displayed by the selenium browser to be fed by scrappy. This is the website I am working on right now. I have written the following code inside scrappy spider.

I'm trying to learn rust and have some issues when trying to work with streams of futures. I have the following code

As defined here the Hindenburg omen indicator is:

The daily number of new 52-week highs and 52-week lows in a stock market index are greater than a threshold amount (typically 2.2%).

To me it means, we roll daily and look back 52 weeks or 252 business/trading days, then count the number of highs (or lows) and finally compute the return of that or pct_change, which is the ratio of new highs (or lows) they want to monitor e.g., being above 2.2%

I am working with two dataframes:

• df contains a column be/me for stocks for a 20-year period (on a monthly basis).
• df2, a subset of df (with only certain stocks, only for June) contains the column decile, created via the pd.qcut() method for every year in the 20-year period based on an altered version of df's be/me.

Considering the deciles that I created in df2, I wonder if it's possible to rank df's be/me based on df2's decile column. In other words, I wonder if it's possible to assign df's be/me values to the deciles created in df2.

Please see dataframes below for a better understanding of the issue:

I have ask another question, but someone close that question. I really need this answer. That's why I asking another question.

I have a object like following. I have to remove that empty string filed from nested object and also from nested array. How can I remove that.

I have a list of stock prices of a company. Now I want to split the list with multiple intervals. we will store the price like: The first 2 elements, then next 3 elements, then 2 elements, and so on.