wassname/pandas-ta
1
0
Fork 0
mirror of https://github.com/wassname/pandas-ta.git synced 2026-09-11 12:30:30 +08:00
Code Issues Packages Projects Releases Wiki Activity

added display for mkt, company and price information

Browse Source
This commit is contained in:
P S Solanki
2021-11-25 18:35:53 +05:30
parent 70ca669f73
commit 8948a3735f
1 changed files with 41 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
pandas_ta/utils/data/polygon_api.py
+41
View File
@@ -42,6 +42,7 @@ def polygon_api(ticker: str, **kwargs):
* ``show`` - How many last rows of Chart History to show. Default: None
* ``api_key`` - REQUIRED. Your polygon API key. Visit your dashboard to get this key.
* ``kind`` - options described above. Defaults to None
* ``desc`` - whether to print the description of company or not. Defaults to False.
* ``start_date`` - start date of time range to get data for. Defaults to roughly a year back. Can be supplied
as a ``datetime`` or ``date`` object or string ``YYYY-MM-DD``
* ``to_date`` - end date of time range to get data for. Defaults to up to most recent data available. Can be
@@ -54,6 +55,7 @@ def polygon_api(ticker: str, **kwargs):
verbose = kwargs.pop("verbose", True)
kind = kwargs.pop("kind", "nothing").lower()
show = kwargs.pop("show", None)
desc = kwargs.pop('desc', False)
df = DataFrame()
api_key = kwargs.pop('api_key', None)
@@ -105,6 +107,45 @@ def polygon_api(ticker: str, **kwargs):
if kind in ['nothing', None]: # no additional data requested
return df
# ADDITIONAL DATA FLOW
ref_client, stock_client = polygon.ReferenceClient(api_key), polygon.StocksClient(api_key)
# ALL THE INFORMATION
if kind in ['all'] or verbose:
print("\n==== Company Information " + div)
details = ref_client.get_ticker_details(ticker)
details_vx = ref_client.get_ticker_details_vx(ticker)
print(f'{details["name"]} [{details["symbol"]}]\n')
if desc: # company description
print(f'{details["description"]}\n')
# TODO: polygon returns hell lotta data for market info across a few endpoints. I don't know which ones to
# include here lol. I wrote the ones i felt were important. Feel free to suggest more.
# Common details + Market info
print(f'{details["hq_address"]}\n{details["hq_country"]}\nPhone: {details_vx["phone_number"]}\n'
f'Website: {details["url"]} || Employees: {details_vx["employees"]}\nSector: {details["sector"]} ||'
f'Industry: {details["industry"]}\n==== Company Information {div}\n'
f'Market: {details_vx["market"].upper()} || locale: {details_vx["locale"].upper()} || '
f'Exchange: {details["exchange"]} || Symbol: {details["symbol"]}\nMarket Shares: '
f'{details_vx["market_cap"]} || Outstanding Shares: {details_vx["outstanding_shares"]}\n')
# Price Info
print(f"\n==== Price Information {div}")
snap_res = stock_client.get_snapshot(ticker)
snap = snap_res['ticker']
print(f'\nCurrent Price: {snap["lastTrade"]["p"]} || Today\'s Change: ${snap_res["todaysChange"]} - '
f'{snap_res["todaysChangePerc"]}%\nBid: {snap["lastQuote"]["p"]} x {snap["lastQuote"]["s"]} || Ask: '
f'{snap["lastQuote"]["P"]} x {snap["lastQuote"]["S"]} || Spread: '
f'{round(snap["lastQuote"]["P"] - snap["lastQuote"]["p"], 4)}\nOpen: {snap["day"]["o"]} || High: '
f'{snap["day"]["h"]} || Low: {snap["day"]["l"]} || Close: {snap["day"]["c"]} || Volume: '
f'{snap["day"]["v"]} || VWA: {snap["day"]["vw"]}')
# Splits and Dividends
return df