This is your work, valued

Dr J

Elite
@janlukasschroeder

PhD in quantitative finance

realtime-newsapi. Financial News Aggregator - Real Time & Query API for Financial News

363

nlp-cheat-sheet-python. NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition

261

tipranks-api-v2. tipranks.com API to access price targets, news sentiments and trending stocks.

99

etfdb-api. ETFdb.com API

41

zacks-api. Zacks.com API

23

netflix-stock-price-impacted-by-news. Tutorial: how news affects Netflix' stock price using the newsfilter.io API

20

ai-for-financial-analysis-and-research. Jupyter Notebook

13

insider-trading-python-tutorial. Jupyter Notebook

11

eodhistoricaldata-api. JavaScript

10

cik-mapping. sec.gov EDGAR CIK-Ticker-Name Mapping

7

all-the-cities. All the 138,398 cities of the world with a population of at least 1000 inhabitants, in a big JSON array.

7

stock-market-news-api-nodejs. Stock market news API, developed by traders and investors for traders and investors.

6

awesome-investing. 💸💸 Curated list of investment & finance related resources

6

react-highlight-selection. Highlight and process selected text in HTML with React

5

react-excel. React component to generate tables that allow add/remove/validate of columns/rows during runtime

4

stocktwits-api. stocktwits.com API

4

nasa-10-coding-rules.

3

node.js-socket.io-real-time-collaborative-drawing. Created with CodeSandbox

3

sec-insights. A real world full-stack application using LlamaIndex

3

newspaper. News, full-text, and article metadata extraction in Python 3. Advanced docs:

2

streetinsider-api. JavaScript

2

nodejs-cheat-sheet.

2

python-for-finance. Python

2

pySecMaster. An automated system to store and maintain financial data.

1

FOMC_NLP_Sentiment_Analysis. Using spaCy and NLTK along with a Bag of Words approach, this repo automates the process of combing through FOMC minutes transcripts to determine sentiment over time.

1

NASDAQ-crawler. PHP

1

react-folder-management. Created with CodeSandbox

1

financial-data-science-notebooks. Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs

1