mirror of
https://gitlab.com/simple-stock-bots/simple-stock-bot.git
synced 2025-06-16 15:17:28 +00:00
170 lines
5.4 KiB
Python
170 lines
5.4 KiB
Python
import json
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import re
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import time
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import urllib.request
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from datetime import datetime
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import cred
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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 tickerDataReply(tickers: list):
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"""
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Takes a list of tickers and returns a list of strings with information about the ticker.
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"""
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tickerReplies = {}
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for ticker in tickers:
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IEXURL = (
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f"https://cloud.iexapis.com/stable/stock/{ticker}/quote?token={cred.secret}"
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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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reply = f"The current stock price of {IEXData['companyName']} is $**{IEXData['latestPrice']}**"
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# Determine wording of change text
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change = round(IEXData["changePercent"] * 100, 2)
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if change > 0:
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reply += f", the stock is currently **up {change}%**"
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elif change < 0:
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reply += f", the stock is currently **down {change}%**"
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else:
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reply += ", the stock hasn't shown any movement today."
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tickerReplies[ticker] = reply
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return tickerReplies
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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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