mirror of
https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot.git
synced 2025-07-25 07:31:48 +00:00
new file structure
This commit is contained in:
499
cg_Crypto.py
Normal file
499
cg_Crypto.py
Normal file
@@ -0,0 +1,499 @@
|
||||
"""Class with functions for running the bot with CoinGecko
|
||||
"""
|
||||
|
||||
import re
|
||||
from datetime import datetime
|
||||
from typing import Optional, List, Tuple, Dict
|
||||
|
||||
import pandas as pd
|
||||
import requests as r
|
||||
import schedule
|
||||
from fuzzywuzzy import fuzz
|
||||
|
||||
|
||||
class cg_Crypto:
|
||||
"""
|
||||
Functions for finding crypto info
|
||||
"""
|
||||
|
||||
SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})"
|
||||
|
||||
searched_symbols = {}
|
||||
charts = {}
|
||||
|
||||
def __init__(self, IEX_TOKEN: str) -> None:
|
||||
"""Creates a Symbol Object
|
||||
|
||||
Parameters
|
||||
----------
|
||||
IEX_TOKEN : str
|
||||
IEX Token
|
||||
"""
|
||||
self.IEX_TOKEN = IEX_TOKEN
|
||||
if 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[pd.DataFrame]:
|
||||
|
||||
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"]
|
||||
self.symbol_list = symbols
|
||||
if return_df:
|
||||
return symbols, datetime.now()
|
||||
|
||||
def iex_status(self) -> str:
|
||||
"""Checks IEX Status dashboard for any current API issues.
|
||||
|
||||
Returns
|
||||
-------
|
||||
str
|
||||
Human readable text on status of IEX API
|
||||
"""
|
||||
status = r.get("https://pjmps0c34hp7.statuspage.io/api/v2/status.json").json()[
|
||||
"status"
|
||||
]
|
||||
|
||||
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 message_status(self) -> str:
|
||||
"""Checks to see if the bot has available IEX Credits
|
||||
|
||||
Returns
|
||||
-------
|
||||
str
|
||||
Human readable text on status of IEX Credits.
|
||||
"""
|
||||
usage = r.get(
|
||||
f"https://cloud.iexapis.com/stable/account/metadata?token={self.IEX_TOKEN}"
|
||||
).json()
|
||||
try:
|
||||
if (
|
||||
usage["messagesUsed"] >= usage["messageLimit"] - 10000
|
||||
and not usage["payAsYouGoEnabled"]
|
||||
):
|
||||
return "Bot may be out of IEX Credits."
|
||||
else:
|
||||
return "Bot has available IEX Credits."
|
||||
except KeyError:
|
||||
return "**IEX API could not be reached.**"
|
||||
|
||||
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 find_symbols(self, text: str) -> List[str]:
|
||||
"""Finds stock tickers starting with a dollar sign in a blob of text and returns them in a list.
|
||||
Only returns each match once. Example: Whats the price of $tsla?
|
||||
|
||||
Parameters
|
||||
----------
|
||||
text : str
|
||||
Blob of text.
|
||||
|
||||
Returns
|
||||
-------
|
||||
List[str]
|
||||
List of stock symbols as strings without dollar sign.
|
||||
"""
|
||||
|
||||
return list(set(re.findall(self.SYMBOL_REGEX, text)))
|
||||
|
||||
def price_reply(self, symbols: list) -> Dict[str, 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.
|
||||
"""
|
||||
dataMessages = {}
|
||||
for symbol in symbols:
|
||||
IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/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 $**{IEXData['extendedPrice']}**"
|
||||
)
|
||||
change = round(IEXData["extendedChangePercent"] * 100, 2)
|
||||
|
||||
# Determine wording of change text
|
||||
if change > 0:
|
||||
message += f", the stock is currently **up {change}%**"
|
||||
elif change < 0:
|
||||
message += f", the stock is currently **down {change}%**"
|
||||
else:
|
||||
message += ", the stock hasn't shown any movement today."
|
||||
else:
|
||||
message = f"The symbol: {symbol} encountered and error. This could be due to "
|
||||
|
||||
else:
|
||||
message = f"The symbol: {symbol} was not found."
|
||||
|
||||
dataMessages[symbol] = message
|
||||
|
||||
return dataMessages
|
||||
|
||||
def dividend_reply(self, symbol: str) -> Dict[str, str]:
|
||||
"""Returns the most recent, or next dividend date for a stock symbol.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
symbols : list
|
||||
List of stock symbols.
|
||||
|
||||
Returns
|
||||
-------
|
||||
Dict[str, str]
|
||||
Each symbol passed in is a key with its value being a human readable formatted string of the symbols div dates.
|
||||
"""
|
||||
|
||||
IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/dividends/next?token={self.IEX_TOKEN}"
|
||||
response = r.get(IEXurl)
|
||||
if response.status_code == 200:
|
||||
IEXData = response.json()[0]
|
||||
keys = (
|
||||
"amount",
|
||||
"currency",
|
||||
"declaredDate",
|
||||
"exDate",
|
||||
"frequency",
|
||||
"paymentDate",
|
||||
"flag",
|
||||
)
|
||||
|
||||
if set(keys).issubset(IEXData):
|
||||
|
||||
if IEXData["currency"] == "USD":
|
||||
price = f"${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 (
|
||||
f"The next dividend for ${self.symbol_list[self.symbol_list['symbol']==symbol.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, symbols: list) -> Dict[str, 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.
|
||||
"""
|
||||
newsMessages = {}
|
||||
|
||||
for symbol in symbols:
|
||||
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):
|
||||
newsMessages[symbol] = f"News for **{symbol.upper()}**:\n\n"
|
||||
for news in data:
|
||||
if news["lang"] == "en" and not news["hasPaywall"]:
|
||||
message = f"*{news['source']}*: [{news['headline']}]({news['url']})\n"
|
||||
newsMessages[symbol] = newsMessages[symbol] + message
|
||||
else:
|
||||
newsMessages[
|
||||
symbol
|
||||
] = f"No news found for: {symbol}\nEither today is boring or the symbol does not exist."
|
||||
else:
|
||||
newsMessages[
|
||||
symbol
|
||||
] = f"No news found for: {symbol}\nEither today is boring or the symbol does not exist."
|
||||
|
||||
return newsMessages
|
||||
|
||||
def info_reply(self, symbols: List[str]) -> Dict[str, 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.
|
||||
"""
|
||||
infoMessages = {}
|
||||
|
||||
for symbol in symbols:
|
||||
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()
|
||||
infoMessages[symbol] = (
|
||||
f"Company Name: [{data['companyName']}]({data['website']})\nIndustry:"
|
||||
+ f" {data['industry']}\nSector: {data['sector']}\nCEO: {data['CEO']}\nDescription: {data['description']}\n"
|
||||
)
|
||||
|
||||
else:
|
||||
infoMessages[
|
||||
symbol
|
||||
] = f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
|
||||
|
||||
return infoMessages
|
||||
|
||||
def intra_reply(self, symbol: str) -> 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.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: str) -> 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.upper() not in list(self.symbol_list["symbol"]):
|
||||
return pd.DataFrame()
|
||||
|
||||
try: # https://stackoverflow.com/a/3845776/8774114
|
||||
return self.charts[symbol.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.upper()] = df
|
||||
return df
|
||||
|
||||
return pd.DataFrame()
|
||||
|
||||
def stat_reply(self, symbols: List[str]) -> Dict[str, 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.
|
||||
"""
|
||||
infoMessages = {}
|
||||
|
||||
for symbol in symbols:
|
||||
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"
|
||||
infoMessages[symbol] = m
|
||||
else:
|
||||
infoMessages[
|
||||
symbol
|
||||
] = f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
|
||||
|
||||
return infoMessages
|
||||
|
||||
def crypto_reply(self, pair: str) -> str:
|
||||
"""Returns the current price of a cryptocurrency
|
||||
|
||||
Parameters
|
||||
----------
|
||||
pair : str
|
||||
symbol for the cryptocurrency, sometimes with a price pair like ETHUSD
|
||||
|
||||
Returns
|
||||
-------
|
||||
str
|
||||
Returns a human readable markdown description of the price, or an empty string if no price was found.
|
||||
"""
|
||||
|
||||
pair = pair.split(" ")[-1].replace("/", "").upper()
|
||||
pair += "USD" if len(pair) == 3 else pair
|
||||
|
||||
IEXurl = f"https://cloud.iexapis.com/stable/crypto/{pair}/quote?token={self.IEX_TOKEN}"
|
||||
|
||||
response = r.get(IEXurl)
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
|
||||
quote = f"Symbol: {data['symbol']}\n"
|
||||
quote += f"Price: ${data['latestPrice']}\n"
|
||||
|
||||
new, old = data["latestPrice"], data["previousClose"]
|
||||
if old is not None:
|
||||
change = (float(new) - float(old)) / float(old)
|
||||
quote += f"Change: {change}\n"
|
||||
|
||||
return quote
|
||||
|
||||
else:
|
||||
return ""
|
||||
Reference in New Issue
Block a user