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