stock-screener | An interactive jupyter notebook to help you screen | Business library
kandi X-RAY | stock-screener Summary
kandi X-RAY | stock-screener Summary
The name of the exchange and the ticker symbol of your stock is all you need. Enter these in the space provided and let the magic happen!. You'll see the current price first(along with the open price of the stock) Next, you'll see the candlestick plot of the close prices beginning FY14. You can ask for Fundamentals too. That is just a click away. Then we have the tech-indicators, I've included four of the most commonly used indicators.
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QUESTION
I am trying to find an easy method to download that csv. https://www.otcmarkets.com/research/stock-screener My problem is that it seems like there is no seperate URL for the file (Or have i missed something?!). I would like to find a solution with the library(RCurl) package. I can only think of solutions in respect to a rem session which seems to be a bit overkill. Any help is appreciated... Thanks in advance.
ANSWER
Answered 2021-Aug-31 at 14:09read.csv("https://www.otcmarkets.com/research/stock-screener/api/downloadCSV")
QUESTION
I'm working on a small stock app that displays stock based on the price the user selected. Initially when the app loads I display all the stocks. However, I implemented a filter, when the user taps on a text field it segues to a second view controller and the user have to select the price they want by selecting a radio button. I've successfully passed the user input back using protocols and delegate and saving it to a priceTarget variable, However, I'm not sure how to update the UI with the new price. I'm assuming I have to reload my tableView and fetch the data again with the updated price. Can someone offer a few suggestions?
...ANSWER
Answered 2021-Jun-02 at 22:53Your thought process is correct. When the user taps the button and the delegate calls passPrice(price:), simply call fetchData() at the end of that task.
Keep in mind that the cells the table view has on screen when the button is tapped is specifically rendering what's in stockArray. Therefore, be careful when you modify stockArray because if the new data fetch results in an array of a different size or the parsing of results is relatively time consuming all while the user is actively scrolling through the table view, it could have unwanted side effects such as curiously-rendered cells or even a fatal out-of-bounds error which would crash the app. Therefore, I would suggest creating a local array (local to the scope of the closure) within the data return that you populate with results that you then hand off to stockArray before reloading the table view:
QUESTION
import requests
import pandas
from bs4 import BeautifulSoup
time = []
ticker = []
name = []
URL = 'https://stockbeep.com/52-week-high-stock-screener'
page = requests.get(URL)
soup = BeautifulSoup(page.text, 'html.parser')
odd_rows = soup.find_all('tr', {'class':'odd'})
even_rows = soup.find_all('tr', {'class':'even'})
print(odd_rows)
print(even_rows)
ANSWER
Answered 2021-Apr-06 at 04:56import requests
import bs4
import pandas as pd
def main(url):
with requests.Session() as req:
r = req.get(url)
soup = bs4.BeautifulSoup(r.text, 'lxml')
params = {
"hash": soup.find('table', {'data-hash': True})['data-hash'],
"country": "us",
"time-zone": "-120",
"sort-column": "position",
"sort-order": "desc",
# "_": "1617683270138"
}
r = req.get(
'https://stockbeep.com/table-data/52-week-high-stock-screener', params=params)
df = pd.DataFrame(r.json()['data'])
df.drop(['xindex', 'sscode', 'ssarrow',
'cellClasses'], axis=1, inplace=True)
print(df)
df.to_csv('Data.csv', index=False)
main('https://stockbeep.com/52-week-high-stock-screener')
QUESTION
I need some help to download the stock table located in this URL:
I’ve tried with the code below to at least grab the first line, but what in the inspector is showed as :
...ANSWER
Answered 2020-Oct-07 at 06:40It looks like the actual data that fills the table is pulled from JSON from another request that some javascript or something runs on the page. This might make it easier to parse the response with a json parser but it might be difficult to compose the correct request to get the data you want. The owners of the website might not want you do do this so they might not make it easy.
It looks like a POST request with a bunch of parameters and also a cookie sent along. So basically you would need to re-create this POST request by adding all of the correct parameters and the correct cookie in the header. I would get a web debugging program like fiddler (shown above) to look and see what is going on.
I was going to also suggest you check and see if that website provides an API but it looks like it doesn't?
EDIT: I was actually able to get the JSON with the data you want by pretty much just copying the request used on the site:
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