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mirror of https://gitlab.com/simple-stock-bots/simple-stock-bot.git synced 2025-06-16 07:16:40 +00:00
Simple-Stock-Bot/IEX_Symbol.py

442 lines
15 KiB
Python

"""Class with functions for running the bot with IEX Cloud.
"""
from datetime import datetime
from typing import Optional, List, Tuple
import pandas as pd
import requests as r
import schedule
from fuzzywuzzy import fuzz
import os
from Symbol import Stock
class IEX_Symbol:
"""
Functions for finding stock market information about symbols.
"""
SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})"
searched_symbols = {}
charts = {}
def __init__(self) -> None:
"""Creates a Symbol Object
Parameters
----------
IEX_TOKEN : str
IEX Token
"""
try:
self.IEX_TOKEN = os.environ["IEX"]
except KeyError:
self.IEX_TOKEN = ""
print(
"Starting without an IEX Token will not allow you to get market data!"
)
if self.IEX_TOKEN != "":
self.get_symbol_list()
schedule.every().day.do(self.get_symbol_list)
schedule.every().day.do(self.clear_charts)
def clear_charts(self) -> None:
"""Clears cache of chart data."""
self.charts = {}
def get_symbol_list(
self, return_df=False
) -> Optional[Tuple[pd.DataFrame, datetime]]:
raw_symbols = r.get(
f"https://cloud.iexapis.com/stable/ref-data/symbols?token={self.IEX_TOKEN}"
).json()
symbols = pd.DataFrame(data=raw_symbols)
symbols["description"] = "$" + symbols["symbol"] + ": " + symbols["name"]
symbols["id"] = symbols["symbol"]
symbols = symbols[["id", "symbol", "name", "description"]]
self.symbol_list = symbols
if return_df:
return symbols, datetime.now()
def status(self) -> str:
"""Checks IEX Status dashboard for any current API issues.
Returns
-------
str
Human readable text on status of IEX API
"""
resp = r.get("https://pjmps0c34hp7.statuspage.io/api/v2/status.json")
if resp.status_code == 200:
status = resp.json()["status"]
else:
return "IEX Cloud did not respond. Please check their status page for more information. https://status.iexapis.com"
if status["indicator"] == "none":
return "IEX Cloud is currently not reporting any issues with its API."
else:
return (
f"{status['indicator']}: {status['description']}."
+ " Please check the status page for more information. https://status.iexapis.com"
)
def search_symbols(self, search: str) -> List[Tuple[str, str]]:
"""Performs a fuzzy search to find stock symbols closest to a search term.
Parameters
----------
search : str
String used to search, could be a company name or something close to the companies stock ticker.
Returns
-------
List[tuple[str, str]]
A list tuples of every stock sorted in order of how well they match. Each tuple contains: (Symbol, Issue Name).
"""
schedule.run_pending()
search = search.lower()
try: # https://stackoverflow.com/a/3845776/8774114
return self.searched_symbols[search]
except KeyError:
pass
symbols = self.symbol_list
symbols["Match"] = symbols.apply(
lambda x: fuzz.ratio(search, f"{x['symbol']}".lower()),
axis=1,
)
symbols.sort_values(by="Match", ascending=False, inplace=True)
if symbols["Match"].head().sum() < 300:
symbols["Match"] = symbols.apply(
lambda x: fuzz.partial_ratio(search, x["name"].lower()),
axis=1,
)
symbols.sort_values(by="Match", ascending=False, inplace=True)
symbols = symbols.head(10)
symbol_list = list(zip(list(symbols["symbol"]), list(symbols["description"])))
self.searched_symbols[search] = symbol_list
return symbol_list
def price_reply(self, symbol: Stock) -> str:
"""Returns current market price or after hours if its available for a given stock symbol.
Parameters
----------
symbols : list
List of stock symbols.
Returns
-------
Dict[str, str]
Each symbol passed in is a key with its value being a human readable
markdown formatted string of the symbols price and movement.
"""
IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol.id}/quote?token={self.IEX_TOKEN}"
response = r.get(IEXurl)
if response.status_code == 200:
IEXData = response.json()
keys = (
"isUSMarketOpen",
"extendedChangePercent",
"extendedPrice",
"companyName",
"latestPrice",
"changePercent",
)
if set(keys).issubset(IEXData):
try: # Some symbols dont return if the market is open
IEXData["isUSMarketOpen"]
except KeyError:
IEXData["isUSMarketOpen"] = True
if (
IEXData["isUSMarketOpen"]
or (IEXData["extendedChangePercent"] is None)
or (IEXData["extendedPrice"] is None)
): # Check if market is open.
message = f"The current stock price of {IEXData['companyName']} is $**{IEXData['latestPrice']}**"
change = round(IEXData["changePercent"] * 100, 2)
else:
message = (
f"{IEXData['companyName']} closed at $**{IEXData['latestPrice']}**,"
+ f" after hours _(15 minutes delayed)_ the stock price is $**{IEXData['extendedPrice']}**"
)
change = round(IEXData["extendedChangePercent"] * 100, 2)
# Determine wording of change text
if change > 0:
message += f", the stock is currently **up {change}%**"
elif change < 0:
message += f", the stock is currently **down {change}%**"
else:
message += ", the stock hasn't shown any movement today."
else:
message = (
f"The symbol: {symbol} encountered and error. This could be due to "
)
else:
message = f"The symbol: {symbol} was not found."
return message
def dividend_reply(self, symbol: Stock) -> str:
"""Returns the most recent, or next dividend date for a stock symbol.
Parameters
----------
symbols : list
List of stock symbols.
Returns
-------
Dict[str, str]
Each symbol passed in is a key with its value being a human readable formatted string of the symbols div dates.
"""
IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/dividends/next?token={self.IEX_TOKEN}"
response = r.get(IEXurl)
if response.status_code == 200 and response.json():
IEXData = response.json()[0]
keys = (
"amount",
"currency",
"declaredDate",
"exDate",
"frequency",
"paymentDate",
"flag",
)
if set(keys).issubset(IEXData):
if IEXData["currency"] == "USD":
price = f"${IEXData['amount']}"
else:
price = f"{IEXData['amount']} {IEXData['currency']}"
# Pattern IEX uses for dividend date.
pattern = "%Y-%m-%d"
declared = datetime.strptime(IEXData["declaredDate"], pattern).strftime(
"%A, %B %w"
)
ex = datetime.strptime(IEXData["exDate"], pattern).strftime("%A, %B %w")
payment = datetime.strptime(IEXData["paymentDate"], pattern).strftime(
"%A, %B %w"
)
daysDelta = (
datetime.strptime(IEXData["paymentDate"], pattern) - datetime.now()
).days
return (
"The next dividend for"
+ f"${self.symbol_list[self.symbol_list['symbol']==symbol.id.upper()]['description'].item()}"
+ f" is on {payment} which is in {daysDelta} days."
+ f" The dividend is for {price} per share."
+ f"\nThe dividend was declared on {declared} and the ex-dividend date is {ex}"
)
return f"{symbol} either doesn't exist or pays no dividend."
def news_reply(self, symbol: Stock) -> str:
"""Gets recent english news on stock symbols.
Parameters
----------
symbols : list
List of stock symbols.
Returns
-------
Dict[str, str]
Each symbol passed in is a key with its value being a human readable markdown formatted string of the symbols news.
"""
IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/news/last/5?token={self.IEX_TOKEN}"
response = r.get(IEXurl)
if response.status_code == 200:
data = response.json()
if len(data):
message = f"News for **{symbol.id.upper()}**:\n\n"
for news in data:
if news["lang"] == "en" and not news["hasPaywall"]:
message = (
f"*{news['source']}*: [{news['headline']}]({news['url']})\n"
)
message += message
else:
return f"No news found for: {symbol}\nEither today is boring or the symbol does not exist."
else:
return f"No news found for: {symbol}\nEither today is boring or the symbol does not exist."
return message
def info_reply(self, symbol: Stock) -> str:
"""Gets information on stock symbols.
Parameters
----------
symbols : List[str]
List of stock symbols.
Returns
-------
Dict[str, str]
Each symbol passed in is a key with its value being a human readable formatted string of the symbols information.
"""
IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/company?token={self.IEX_TOKEN}"
response = r.get(IEXurl)
if response.status_code == 200:
data = response.json()
message = (
f"Company Name: [{data['companyName']}]({data['website']})\nIndustry:"
+ f" {data['industry']}\nSector: {data['sector']}\nCEO: {data['CEO']}\nDescription: {data['description']}\n"
)
else:
message = f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
return message
def intra_reply(self, symbol: Stock) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open.
Parameters
----------
symbol : str
Stock symbol.
Returns
-------
pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
"""
if symbol.id.upper() not in list(self.symbol_list["symbol"]):
return pd.DataFrame()
IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/intraday-prices?token={self.IEX_TOKEN}"
response = r.get(IEXurl)
if response.status_code == 200:
df = pd.DataFrame(response.json())
df.dropna(inplace=True, subset=["date", "minute", "high", "low", "volume"])
df["DT"] = pd.to_datetime(df["date"] + "T" + df["minute"])
df = df.set_index("DT")
return df
return pd.DataFrame()
def chart_reply(self, symbol: Stock) -> pd.DataFrame:
"""Returns price data for a symbol of the past month up until the previous trading days close.
Also caches multiple requests made in the same day.
Parameters
----------
symbol : str
Stock symbol.
Returns
-------
pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
"""
schedule.run_pending()
if symbol.id.upper() not in list(self.symbol_list["symbol"]):
return pd.DataFrame()
try: # https://stackoverflow.com/a/3845776/8774114
return self.charts[symbol.id.upper()]
except KeyError:
pass
response = r.get(
f"https://cloud.iexapis.com/stable/stock/{symbol}/chart/1mm?token={self.IEX_TOKEN}&chartInterval=3&includeToday=false"
)
if response.status_code == 200:
df = pd.DataFrame(response.json())
df.dropna(inplace=True, subset=["date", "minute", "high", "low", "volume"])
df["DT"] = pd.to_datetime(df["date"] + "T" + df["minute"])
df = df.set_index("DT")
self.charts[symbol.id.upper()] = df
return df
return pd.DataFrame()
def stat_reply(self, symbol: Stock) -> str:
"""Gets key statistics for each symbol in the list
Parameters
----------
symbols : List[str]
List of stock symbols
Returns
-------
Dict[str, str]
Each symbol passed in is a key with its value being a human readable formatted string of the symbols statistics.
"""
IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/stats?token={self.IEX_TOKEN}"
response = r.get(IEXurl)
if response.status_code == 200:
data = response.json()
[data.pop(k) for k in list(data) if data[k] == ""]
m = ""
if "companyName" in data:
m += f"Company Name: {data['companyName']}\n"
if "marketcap" in data:
m += f"Market Cap: {data['marketcap']:,}\n"
if "week52high" in data:
m += f"52 Week (high-low): {data['week52high']:,} "
if "week52low" in data:
m += f"- {data['week52low']:,}\n"
if "employees" in data:
m += f"Number of Employees: {data['employees']:,}\n"
if "nextEarningsDate" in data:
m += f"Next Earnings Date: {data['nextEarningsDate']}\n"
if "peRatio" in data:
m += f"Price to Earnings: {data['peRatio']:.3f}\n"
if "beta" in data:
m += f"Beta: {data['beta']:.3f}\n"
return m
else:
return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
def trending(self) -> list[str]:
"""Gets current coins trending on coingecko
Returns
-------
list[str]
list of $$ID: NAME
"""
stocks = r.get(
f"https://cloud.iexapis.com/stable/stock/market/list/mostactive?token={self.IEX_TOKEN}"
).json()
return [f"${s['symbol']}: {s['companyName']}" for s in stocks]