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https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot.git
synced 2025-06-16 06:56:46 +00:00
Close #32
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parent
4de494d1d2
commit
81c42000d8
39
bot.py
39
bot.py
@ -173,6 +173,44 @@ def intra(update, context):
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)
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def chart(update, context):
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# TODO: Document usage of this command. https://iexcloud.io/docs/api/#historical-prices
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message = update.message.text
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chat_id = update.message.chat_id
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symbol = s.find_symbols(message)[0]
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df = s.chart_reply(symbol)
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if df.empty:
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update.message.reply_text(
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text="Invalid symbol please see `/help` for usage details.",
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parse_mode=telegram.ParseMode.MARKDOWN,
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)
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context.bot.send_chat_action(
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chat_id=chat_id, action=telegram.ChatAction.UPLOAD_PHOTO
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)
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price = s.price_reply([symbol])
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buf = io.BytesIO()
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mpf.plot(
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df,
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type="candle",
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title=f"\n${symbol.upper()}",
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volume=True,
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style="yahoo",
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savefig=dict(fname=buf, dpi=400),
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)
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buf.seek(0)
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update.message.reply_photo(
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photo=buf,
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caption=f"\n1 Month chart for ${symbol.upper()} on {datetime.date.today().strftime('%d, %b %Y')}\n\n{price[symbol]}",
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parse_mode=telegram.ParseMode.MARKDOWN,
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)
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def stat(update, context):
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"""
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https://iexcloud.io/docs/api/#key-stats
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@ -278,6 +316,7 @@ def main():
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dp.add_handler(CommandHandler("search", search))
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dp.add_handler(CommandHandler("intraday", intra))
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dp.add_handler(CommandHandler("intra", intra))
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dp.add_handler(CommandHandler("chart", chart))
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dp.add_handler(CommandHandler("crypto", crypto))
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dp.add_handler(CommandHandler("random", rand_pick))
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14
functions.py
14
functions.py
@ -235,6 +235,20 @@ Market data is provided by [IEX Cloud](https://iexcloud.io)
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df = df.set_index("DT")
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return df
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def chart_reply(self, symbol: str):
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if symbol.upper() not in list(self.symbol_list["symbol"]):
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return pd.DataFrame()
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IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/chart/1mm?token={self.IEX_TOKEN}&chartInterval=3&includeToday=true"
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print(IEXurl)
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response = r.get(IEXurl)
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if response.status_code == 200:
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df = pd.DataFrame(response.json())
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df.dropna(inplace=True, subset=["date", "minute", "high", "low", "volume"])
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df["DT"] = pd.to_datetime(df["date"] + "T" + df["minute"])
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df = df.set_index("DT")
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return df
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def stat_reply(self, symbols: list):
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infoMessages = {}
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