mirror of
https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot.git
synced 2025-06-16 15:06:53 +00:00
196 lines
6.3 KiB
Python
196 lines
6.3 KiB
Python
import urllib.request
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import json
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from datetime import datetime
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import time
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import re
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def getTickers(text: str):
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"""
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Takes a blob of text and returns any stock tickers found.
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"""
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TICKER_REGEX = "[$]([a-zA-Z]{1,4})"
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return list(set(re.findall(TICKER_REGEX, text)))
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def tickerData(tickers: list):
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"""
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Takes a list of tickers and returns a dictionary of information on ticker.
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example:
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input list: ["aapl","tsla"]
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returns:
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{
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"AAPL": {"name": "Apple Inc.", "price": 200.72, "change": -0.01074},
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"TSLA": {"name": "Tesla Inc.", "price": 241.98, "change": -0.01168},
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}
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"""
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stockData = {}
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IEXURL = (
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"https://api.iextrading.com/1.0/stock/market/batch?symbols="
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+ ",".join(tickers)
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+ "&types=quote"
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)
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with urllib.request.urlopen(IEXURL) as url:
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IEXData = json.loads(url.read().decode())
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for ticker in tickers:
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ticker = ticker.upper()
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# Makes sure ticker exists before populating a dictionary
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if ticker in IEXData:
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stockData[ticker] = {}
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stockData[ticker]["name"] = IEXData[ticker]["quote"]["companyName"]
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stockData[ticker]["price"] = IEXData[ticker]["quote"]["latestPrice"]
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stockData[ticker]["change"] = IEXData[ticker]["quote"]["changePercent"]
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return stockData
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def tickerDataReply(ticker: dict):
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"""
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Takes a dictionary, likely produced from tickerData(), and returns a markdown string with information on the ticker.
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example:
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input dict: {"AAPL": {"name": "Apple Inc.", "price": 200.72, "change": -0.01074}}
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returns:
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The current stock price of Apple Inc. is $**200.72**, the stock is currently **down -1.07**%
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"""
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reply = f"The current stock price of {ticker['name']} is $**{ticker['price']}**"
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# Determine wording of change text
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change = round(ticker["change"] * 100, 2)
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if change > 0:
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changeText = f", the stock is currently **up {change}%**"
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elif change < 0:
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changeText = f", the stock is currently **down {change}%**"
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else:
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changeText = ", the stock hasn't shown any movement today."
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return reply + changeText
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def tickerNews(tickers: list):
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"""
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Takes a list of ticker and returns a dictionary of dictionarys
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with a list of tuples under news that contains (title, url)
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example:
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input list: ["aapl"]
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returns:
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{
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"AAPL": {
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"name": "Apple Inc.",
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"price": 200.72,
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"change": -0.01074,
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"news": [
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(
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"April Dividend Income Report - Beating Records, Holding Steady",
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"https://api.iextrading.com/1.0/stock/aapl/article/8556681822768653",
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),
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(
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"Is Vanguard's VIG Better Than Its WisdomTree Counterpart?",
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"https://api.iextrading.com/1.0/stock/aapl/article/7238581261167527",
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),
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],
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}
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}
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"""
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data = tickerData(tickers)
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for ticker in tickers:
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ticker = ticker.upper()
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IEXNews = f"https://api.iextrading.com/1.0/stock/{ticker}/news/last/5"
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with urllib.request.urlopen(IEXNews) as url:
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newsData = json.loads(url.read().decode())
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data[ticker]["news"] = []
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for index, story in enumerate(newsData):
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tup = (newsData[index]["headline"], newsData[index]["url"])
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data[ticker]["news"].append(tup)
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return data
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def tickerNewsReply(ticker: dict):
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"""
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Takes a dictionary, likely produced from tickerNews(), and returns a markdown string with news information on the ticker.
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example:
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{
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"name": "Apple Inc.",
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"price": 200.72,
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"change": -0.01074,
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"news": [
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(
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"April Dividend Income Report - Beating Records, Holding Steady",
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"https://api.iextrading.com/1.0/stock/aapl/article/8556681822768653",
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),
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(
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"Is Vanguard's VIG Better Than Its WisdomTree Counterpart?",
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"https://api.iextrading.com/1.0/stock/aapl/article/7238581261167527",
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),
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],
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}
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returns:
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The current stock price of Apple Inc. is $**200.72**, the stock is currently **down -1.07%**
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[April Dividend Income Report - Beating Records, Holding Steady](https://api.iextrading.com/1.0/stock/aapl/article/8556681822768653)
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[Is Vanguard's VIG Better Than Its WisdomTree Counterpart?](https://api.iextrading.com/1.0/stock/aapl/article/7238581261167527)
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"""
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reply = tickerDataReply(ticker)
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if len(ticker["news"]) == 0:
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return reply + f"\n\tNo News was found for {ticker['name']}"
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for title, url in ticker["news"]:
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reply = reply + f"\n\t[{title}]({url})"
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return reply
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# Below Functions are incomplete
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def tickerInfo(ticker):
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infoURL = f"https://api.iextrading.com/1.0/stock/{ticker}/stats"
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with urllib.request.urlopen(infoURL) as url:
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data = json.loads(url.read().decode())
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info = {}
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info["companyName"] = data["companyName"]
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info["marketCap"] = data["marketcap"]
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info["yearHigh"] = data["week52high"]
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info["yearLow"] = data["week52low"]
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info["divRate"] = data["dividendRate"]
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info["divYield"] = data["dividendYield"]
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info["divDate"] = data["exDividendDate"]
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return info
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def tickerDividend(ticker):
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data = tickerInfo(ticker)
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if data["divDate"] == 0:
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return "{} has no dividend.".format(data["companyName"])
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dividendInfo = "{} current dividend yield is: {:.3f}%, or ${:.3f} per share.".format(
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data["companyName"], data["divRate"], data["divYield"]
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)
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divDate = data["divDate"]
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# Pattern IEX uses for dividend date.
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pattern = "%Y-%m-%d %H:%M:%S.%f"
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# Convert divDate to seconds, and subtract it from current time.
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divSeconds = datetime.strptime(divDate, pattern).timestamp()
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difference = divSeconds - int(time.time())
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# Calculate (d)ays, (h)ours, (m)inutes, and (s)econds
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d, h = divmod(difference, 86400)
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h, m = divmod(h, 3600)
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m, s = divmod(m, 60)
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countdownMessage = f"\n\nThe dividend is in: {d:.0f} Days {h:.0f} Hours {m:.0f} Minutes {s:.0f} Seconds."
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return dividendInfo + countdownMessage
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