About Corporate Lobbying
The Corporate Lobbying dataset by Quiver Quantitative tracks the lobbying activity of US Equities. The Lobbying Disclosure Act of 1995 requires lobbyists in the United States to disclose information about their activities, such as their clients, which issues they are lobbying on, and how much they are being paid. Quiver Quantiative scrapes this data and maps it to stock tickers to track which companies are spending money for legislative influence.
This dataset depends on the US Equity Security Master dataset because the US Equity Security Master dataset contains information on splits, dividends, and symbol changes.
About Quiver Quantitative
Quiver Quantitative was founded by two college students in February 2020 with the goal of bridging the information gap between Wall Street and non-professional investors. Quiver allows retail investors to tap into the power of big data and have access to actionable, easy to interpret data that hasn’t already been dissected by Wall Street.
About QuantConnect
QuantConnect was founded in 2012 to serve quants everywhere with the best possible algorithmic trading technology. Seeking to disrupt a notoriously closed-source industry, QuantConnect takes a radically open-source approach to algorithmic trading. Through the QuantConnect web platform, more than 50,000 quants are served every month.
Algorithm Example
from AlgorithmImports import *
from QuantConnect.DataSource import *
class QuiverLobbyingDataAlgorithm(QCAlgorithm):
def initialize(self) -> None:
self.set_start_date(2021, 10, 7) #Set Start Date
self.set_end_date(2022, 10, 11) #Set End Date
self.aapl = self.add_equity("AAPL", Resolution.DAILY).symbol
self.dataset_symbol = self.add_data(QuiverLobbyings, self.symbol).symbol
# history request
history = self.history(self.dataset_symbol, 10, Resolution.DAILY)
self.debug(f"We got {len(history)} items from historical data request of {self.dataset_symbol}.")
def on_data(self, slice: Slice) -> None:
for lobbyings in slice.Get(QuiverLobbyings).values():
if any([lobbying.amount > 50000 for lobbying in lobbyings]):
self.set_holdings(self.symbol, 1)
elif any([lobbying.amount < 10000 for lobbying in lobbyings]):
self.set_holdings(self.symbol, -1)
Example Applications
The Corporate Lobbying dataset enables you to create strategies using the latest information on lobbying activity. Examples include the following strategies:
- Trading securities that have spent the most on lobbying over the last quarter
- Trading securities that have had the biggest change in lobbying spend for privacy legislation over the last year
Pricing
Cloud Access
Harness Corporate Lobbying data in the QuantConnect Cloud for your backtesting and live trading purposes.
On Premise Download
Download Corporate Lobbying historical records for your LEAN backtesting on premise with the LEAN CLI.
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