stocksera 0.1.14

Official Stocksera API

Stocksera API

This is the official API for Stocksera. Visit stocksera at https://stocksera.pythonanywhere.com.

Installation

The package can easily be installed in your terminal by entering

pip install stocksera

Usage

Import the package

import stocksera

Get data from Reddit

reddit = stocksera.Reddit()

# Get total number of mentions on wallstreetbets
df = reddit.wsb_mentions(days=1)

# Get number of mentions of a stock overtime on wallstreetbets
df = reddit.wsb_mentions(ticker="AAPL")

# Get total number of puts/calls mentions on wallstreetbets
df = reddit.wsb_options(days=1)

# Get number of puts/calls mentions of a stock overtime on wallstreetbets
df = reddit.wsb_options(ticker="AAPL")

# Get subreddit count on Reddit
df = reddit.subreddit(ticker="GME")

Get stocks related data

stock = stocksera.Stock()

# Get SEC fillings of a stock
df = stock.sec_fillings(ticker="AAPL")

# Get news and sentiment of a stock
df = stock.news_sentiment(ticker="AAPL")

# Get recent insider trading of all tickers
df = stock.insider_trading(limit=500)

# Get insider trading of a stock
df = stock.insider_trading(ticker="AAPL")

# Get recent insider trading analysis
df = stock.latest_insider_trading_summary()

# Get stocks with recent consistenly high FTD
df = stock.ftd()

# Get FTD of a stock
df = stock.ftd(ticker="AAPL")

# Get earnings calendar of stocks
df = stock.earnings_calendar()

Get government trades data

government = stocksera.Government()

# Get all senate trades
df = government.senate()

# Get senate trades of a specific person
df = government.senate(name="Thomas H Tuberville")

# Get senate trades of a specific ticker
df = government.senate(ticker="AAPL")

# Get all house trades
df = government.house()

# Get house trades of a specific person
df = government.house(name="Hon. Nancy Pelosi")

# Get house trades of a specific ticker
df = government.house(ticker="AAPL")

Get economic data

government = stocksera.Economy()

# Get reverse repo
df = government.reverse_repo()

# Get daily treasury
df = government.daily_treasury()

# Get inflation
df = government.inflation()

# Get initial jobless claims
df = government.jobless_claims()

# Get retail sales
df = government.retail_sales()