nasdaq | A nasdaq.com scraper | Scraper library

by scottjbarr Ruby Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | nasdaq Summary

nasdaq is a Ruby library typically used in Automation, Scraper applications. nasdaq has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Get the summary data html page for Altria (MO).

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Quality

Security

License

Reuse

Support

nasdaq has a low active ecosystem.

It has 7 star(s) with 2 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

nasdaq has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nasdaq is current.

Quality

nasdaq has 0 bugs and 0 code smells.

Security

nasdaq has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nasdaq code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nasdaq is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

nasdaq releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

It has 4903 lines of code, 57 functions and 14 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed nasdaq and discovered the below as its top functions. This is intended to give you an instant insight into nasdaq implemented functionality, and help decide if they suit your requirements.

Returns the market price .
Gets the change value for the previous changes .

Get all kandi verified functions for this library.

nasdaq Key Features

No Key Features are available at this moment for nasdaq.

nasdaq Examples and Code Snippets

No Code Snippets are available at this moment for nasdaq.

Community Discussions

Trending Discussions on nasdaq

How do I change the name of a resampled column?

retrieve stock price data from specific dates in pandas df

yfinance how to get data if the ticker is same for different exchanges

Export contractDetails to df or csv from TWS API in Python?

Interactive Brokers Python API - Executing multiple trades

Using python and selenium to get elemnts in to a list or dataframe

Why are certain time values not plotting on this graph?

Most Efficient Way to Add Hundreds of Large Dataframes

Why the Selenium xpath to scrape ab table is NOT matching, although an attribute is unique given

How to normalize a JSON file into a Pandas dataframe

QUESTION

How do I change the name of a resampled column?

Asked 2022-Mar-10 at 21:58

I have a dataframe with the price fluctuations of the Nasdaq stock index every minute. In trading it is important to take into account data on different time units (to know the short term, medium and long term trends...)

So I used the resample() method of Pandas to get a dataframe with the price in 5 minutes in addition to the original 1 minute:

...

ANSWER

Answered 2022-Mar-10 at 17:04

You can use:

Source https://stackoverflow.com/questions/71427891

QUESTION

retrieve stock price data from specific dates in pandas df

Asked 2022-Mar-01 at 14:08

I have a pandas dataframe that has the earnings date of certain stocks, the eps actual and estimate as well as revenue estimate and actual. For my sample, I only have 10 tickers of all their earnings date but I to eventually incorporate all nasdaq tickers. Anyways, what is the fastest way to go through the pandas dataframe, retrieve the specific date and symbol and pull the stock price for that day (open, high, low, close). I know how to retrieve stock prices individually from the yahoo finance api. (i.e., downloading a specific ticker and retrieving stock prices from a start date and end date) But I'm unsure of how to connect the two. Thanks.

Below is my sample df and what I would like to see...

...

ANSWER

Answered 2022-Mar-01 at 14:08

This solution involves data collection as well, feel free to use this feature or just adapt the data merging using that specific part of the code.

First, setting up the dataframe to test this solution:

Source https://stackoverflow.com/questions/71289607

QUESTION

yfinance how to get data if the ticker is same for different exchanges

Asked 2022-Feb-15 at 06:45

I want to get historical price data using python and yfinance for Indonesian stocks. I see that there are many stocks that have the same name across different countries, for example AUTO (can be Indonesian company Astra Otoparts Tbk PT or NASDAQ's Autoweb Inc)

When I do yf.download('AUTO'), it's returning me a price data of Autoweb Inc, instead of Indonesian stock Astra Otoparts Tbk PT.

How can we select which exchange we want the ticker from?

Thanks.

...

ANSWER

Answered 2022-Feb-15 at 06:45

I've only looked up the brand name in your question, AUTO.JK is the brand name. I have not checked if it is a rule to add abbreviated names.

Source https://stackoverflow.com/questions/71121619

QUESTION

Export contractDetails to df or csv from TWS API in Python?

Asked 2022-Jan-27 at 12:06

This question has actually already been asked and answered on another forum, howwwever, the answer was given through a web link and it appears as if that link has indeed expired. Thus I am forced to ask the question again to you lovely intelligent people.

Does anyone know how to export data from "contractDetails" to a df or a CSV file? This is the code so far:

...

ANSWER

Answered 2022-Jan-27 at 12:06

Here is the answer to my problem...

Source https://stackoverflow.com/questions/70868534

QUESTION

Interactive Brokers Python API - Executing multiple trades

Asked 2022-Jan-13 at 22:24

I'm trying to create a program for a Python API to place multiple trades/market orders at once. I used a tutorial online to get some of this code and made a few changes. But, I am not able to place multiple orders at once. I am using 2 lists 1 is for symbols and the other is for their quantity. (Ex: Buy 3 Apple stocks). My code is executing only the last order: which is "Buy 3 CRM stocks". Can anyone help me figure out how to place multiple orders?

Here is my Python code:

...

ANSWER

Answered 2022-Jan-13 at 22:24

The problem is with your for loop:

Source https://stackoverflow.com/questions/70701705

QUESTION

Using python and selenium to get elemnts in to a list or dataframe

Asked 2022-Jan-11 at 19:05

I have a table created using 'div' elements, which has dynamic content based on the choice and also the data to be displayed that are generated with javascript. Html structure is like this:

...

ANSWER

Answered 2022-Jan-11 at 19:05

Using Selenium to print the desired texts you have to induce WebDriverWait for the visibility_of_all_elements_located() and you can use the following Locator Strategy:

Using xpath:

Source https://stackoverflow.com/questions/70671076

QUESTION

Why are certain time values not plotting on this graph?

Asked 2022-Jan-10 at 20:11

Creating a scatter plot with vega points are only plotted up to the 11/12th of every month? I'm confused as I feel like everything should be working fine, however this clearly doesnt seem to be the case. Is this due to the data? or the choice of graph maybe? Feel as though there should be a solution but going through the documentation i can't find one

...

ANSWER

Answered 2022-Jan-10 at 20:11

Your source data appears to store dates using DD/MM/YYYY format, which Javascript date parsing assumes is MM/DD/YYYY. Because of this, when the day is larger than 12, the result is an invalid date.

You can fix this by declaring the correct date format in your specification:

Source https://stackoverflow.com/questions/70657363

QUESTION

Most Efficient Way to Add Hundreds of Large Dataframes

Asked 2022-Jan-06 at 17:43

I am running into an issue when creating a very large dataframe (400 Million+ rows, consisting of minute data from Jan 04, 2021 - Dec 21, 2021 of active stocks on the NASDAQ which is currently at 4833).

I have built a backtester to test algorithms on this data by vectorization. I did all my development on a dataframe made up of 50 stocks with the same timeframe, the dataframe was 4 million+ rows and had no issues.

Now I am trying to scale up to run this on an exchange worth of stocks, and the first issue I am having is running out of memory (computer has 20GB). Here is my code to build up the large dataframe:

...

ANSWER

Answered 2022-Jan-02 at 06:26

Dask does sound like an appropriate tool here, but it might be a good idea to first make sure the data is structured in an efficient way. Given the size of the data you might want to either use a database (so stream your API calls into a database, which can later be queried by dask or some other tool) or alternatively store the data on a stock-by-stock basis, ideally using some thing like parquet, because it will allow saving data with time indexing.

For example, if the function in question can be refactored for a single stock, then the following could be a pseudo-code to save the data:

Source https://stackoverflow.com/questions/70552288

QUESTION

Why the Selenium xpath to scrape ab table is NOT matching, although an attribute is unique given

Asked 2022-Jan-04 at 17:23

I try to scrape the NASDAQ values from the www.n-tv.de website. I'm crawling with SELENIUM through the Sites. The Stock Values are on the Site in Tables.

The Source COde of Table for Example is like:

...

ANSWER

Answered 2022-Jan-04 at 17:23

Assumed yo like to scrape this url https://www.n-tv.de/boersenkurse/suche/?suchbegriff=to%20le.

You have to wait for element you try to find is present in the DOM and can use selenium waits for this:

Source https://stackoverflow.com/questions/70566878

QUESTION

How to normalize a JSON file into a Pandas dataframe

Asked 2021-Dec-23 at 22:22

I have a JSON file named stocks.json that looks as follows (note the lack of square brackets in the source file):

...

ANSWER

Answered 2021-Dec-23 at 22:22

You can just using the pd.DataFrame() constructor, and then transpose and reset the index:

Source https://stackoverflow.com/questions/70467933

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install nasdaq

You can download it from GitHub.
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