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mirror of https://gitlab.com/simple-stock-bots/simple-stock-bot.git synced 2026-06-03 21:00:26 +00:00

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13 Commits

Author SHA1 Message Date
Anson 94450483b5 make ruff happy 2023-10-09 03:27:02 +00:00
Anson 8e4ec64d01 lets get hacky 2023-10-09 03:15:50 +00:00
Anson 8fe08f36ce pls work 2023-10-09 03:09:43 +00:00
Anson 5a02ffc3ce update how requirements work 2023-10-08 21:02:28 -06:00
Anson 2d6cdc26b7 tryin something out 2023-10-08 20:13:33 -06:00
Anson 474f8aa24e 🐶 2023-10-08 20:04:50 -06:00
Anson 1e0bb8a2c0 fix path 2023-10-08 20:04:36 -06:00
Anson 22d3f7ad77 change up the dir 2023-10-08 19:55:50 -06:00
Anson 5be3c20c8f try once more 2023-10-08 19:53:44 -06:00
Anson 0d799209ae try again lol 2023-10-08 19:48:47 -06:00
Anson 0b0a3338c9 Update .gitlab-ci.yml file 2023-10-09 01:47:13 +00:00
Anson 156a22a227 starting my fight with the gitlab-ci 2023-10-08 18:34:32 -06:00
Anson 676b702c71 literally copy in the docs 2023-10-08 18:14:11 -06:00
60 changed files with 2155 additions and 2619 deletions
+2
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@@ -1,3 +1,5 @@
FROM python:3.11 FROM python:3.11
COPY . . COPY . .
# RUN pip install -r requirements.txt
+10 -12
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@@ -5,8 +5,7 @@
// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
// "image": "mcr.microsoft.com/devcontainers/python:1-3-bookworm", // "image": "mcr.microsoft.com/devcontainers/python:1-3-bookworm",
"build": { "build": {
"dockerfile": "Dockerfile", "dockerfile": "Dockerfile"
"context": ".."
}, },
"features": { "features": {
"ghcr.io/devcontainers-contrib/features/black:2": {}, "ghcr.io/devcontainers-contrib/features/black:2": {},
@@ -17,17 +16,16 @@
"customizations": { "customizations": {
"vscode": { "vscode": {
"extensions": [ "extensions": [
"ms-python.python", "ms-python.python",
"ms-python.black-formatter", "ms-python.black-formatter",
"ms-python.vscode-pylance", "ms-python.flake8",
"ms-python.isort", "ms-python.vscode-pylance",
"charliermarsh.ruff", "ms-python.isort",
"ms-toolsai.jupyter", "charliermarsh.ruff"
"esbenp.prettier-vscode" ]
]
} }
}, },
"postCreateCommand": "pip3 install --user -r dev-reqs.txt && apt-get update && apt-get install -y nodejs npm --fix-missing && npm install" "postCreateCommand": "pip3 install --user -r dev-reqs.txt"
// Features to add to the dev container. More info: https://containers.dev/features. // Features to add to the dev container. More info: https://containers.dev/features.
// "features": {}, // "features": {},
// Use 'forwardPorts' to make a list of ports inside the container available locally. // Use 'forwardPorts' to make a list of ports inside the container available locally.
@@ -38,4 +36,4 @@
// "customizations": {}, // "customizations": {},
// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
// "remoteUser": "root" // "remoteUser": "root"
} }
+1 -2
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@@ -1,3 +1,2 @@
__pycache__ __pycache__
.env .env
node_modules
+14 -14
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@@ -1,21 +1,21 @@
stages: stages:
- lint - lint
- build_site
- deploy - deploy
# ruff: black:
# stage: lint stage: lint
# image: python:3.11-slim image: registry.gitlab.com/pipeline-components/black:latest
# script: script:
# - pip3 install ruff - black --check --verbose -- .
# - ruff . --output-format gitlab; ruff format . --diff
ruff:
stage: lint
# image: registry.gitlab.com/pipeline-components/ruff:latest
image: python:3.11-slim
script:
- pip3 install ruff
- ruff --output-format gitlab .
# prettier:
# stage: lint
# image: node:16-slim # Use Node.js image since prettier is a Node.js tool
# script:
# - npm install prettier
# - npx prettier --check . # Adjust the path as needed
include: include:
- local: /site/.gitlab-ci.yml - local: /docs/.gitlab-ci.yml
+6 -8
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@@ -1,10 +1,8 @@
{ {
"editor.formatOnSave": true,
"editor.formatOnPaste": true,
"editor.formatOnSaveMode": "modificationsIfAvailable",
"[python]": {
"editor.defaultFormatter": "charliermarsh.ruff",
"editor.formatOnSave": true, "editor.formatOnSave": true,
"editor.formatOnSaveMode": "file" "editor.formatOnPaste": true,
} "editor.formatOnSaveMode": "modificationsIfAvailable",
} "[python]": {
"editor.defaultFormatter": "ms-python.black-formatter",
}
}
+19 -35
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@@ -1,48 +1,32 @@
# Simple Stock Bots # Simple Telegram Stock Bot
[![Platform](https://img.shields.io/badge/platform-Telegram%20%7C%20Discord-blue.svg)](https://t.me/SimpleStockBot)
[![Platform](https://img.shields.io/badge/platform-Telegram-blue.svg)](https://t.me/SimpleStockBot)
[![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE) [![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE)
[![Maintainer](https://img.shields.io/badge/Maintainer-Anson-blue)](https://ansonbiggs.com) [![Author](https://img.shields.io/badge/Maintainer-Anson-blue)](https://ansonbiggs.com)
Enhance your group chats on Telegram and Discord with real-time stock and cryptocurrency insights. Simple Stock Bots deliver timely stock quotes, charts, and market trends directly to your chats, making financial discussions more engaging and informed. ## Docs
## Documentation https://docs.simplestockbot.com/
Comprehensive documentation is available to help you understand the features and capabilities of Simple Stock Bots: ## Usage
- [Official Documentation](https://simplestockbot.com/) https://docs.simplestockbot.com/commands/
- [Command Reference](https://simplestockbot.com/commands/)
## Support the Project ## Donate
Simple Stock Bots is sustained entirely through donations, with an annual expense of about $420 for server and premium market data subscriptions from [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo). Simple Stock Bot is run entirely on donations, and costs about $420 a year to run. All donations go directly towards paying for servers, and premium market data provided by [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo).
You can contribute by: The best way to donate is through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) which accepts Paypal or Credit card.
- Donating through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) (PayPal or Credit Card accepted). Alternatively, you can donate on Telegram with the `/donate` [command](commands.md#donate-amount-in-usd).
- Using the `/donate` [command](commands.md#donate-amount-in-usd) on Telegram.
- [Getting in touch](contact.md) for any inquiries or suggestions.
### Additional Support: If you have any questions get in [touch.](contact.md)
- Follow on [Twitter](https://twitter.com/AnsonBiggs) ## Other Ways to Help:
- Contribute or star the project on [GitLab](https://gitlab.com/simple-stock-bots/simple-stock-bot)
- Utilize referral links for self-hosting: - Follow me on [twitter](https://twitter.com/AnsonBiggs)
- Contribute to the project on [GitLab](https://gitlab.com/simple-stock-bots) or just leave a star
- Using my referral links to host your own Bot
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6) - [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
- [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web) - [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo)
## Hosting
Self-hosting instructions are provided for those interested in running the bot on their own servers:
- [Hosting Guide](https://simplestockbot.com/hosting/)
## Contact
Reach out for bug reports, feature requests, or other inquiries:
- [Contact Page](https://simplestockbot.com/contact/)
---
Your support in any form is immensely appreciated and ensures the continuous improvement and availability of Simple Stock Bots for everyone.
+269 -367
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@@ -1,367 +1,269 @@
import datetime as dt import datetime as dt
import logging import logging
import os import os
from collections import OrderedDict from typing import Dict
from typing import Dict
import pandas as pd
import humanize import pytz
import pandas as pd import requests as r
import pytz import schedule
import requests as r
import schedule from common.Symbol import Stock
log = logging.getLogger(__name__)
from common.Symbol import Stock
log = logging.getLogger(__name__) class MarketData:
"""
Functions for finding stock market information about symbols from MarkData.app
class MarketData: """
"""
Functions for finding stock market information about symbols from MarkData.app SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})"
"""
charts: Dict[Stock, pd.DataFrame] = {}
SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})"
openTime = dt.time(hour=9, minute=30, second=0)
symbol_list: Dict[str, Dict] = {} marketTimeZone = pytz.timezone("US/Eastern")
charts: Dict[Stock, pd.DataFrame] = {}
def __init__(self) -> None:
openTime = dt.time(hour=9, minute=30, second=0) """Creates a Symbol Object
marketTimeZone = pytz.timezone("US/Eastern")
Parameters
def __init__(self) -> None: ----------
"""Creates a Symbol Object MARKETDATA_TOKEN : str
MarketData.app API Token
Parameters """
----------
MARKETDATA_TOKEN : str try:
MarketData.app API Token self.MARKETDATA_TOKEN = os.environ["MARKETDATA"]
"""
if self.MARKETDATA_TOKEN == "TOKEN":
try: self.MARKETDATA_TOKEN = ""
self.MARKETDATA_TOKEN = os.environ["MARKETDATA"] except KeyError:
self.MARKETDATA_TOKEN = ""
if self.MARKETDATA_TOKEN == "TOKEN": log.warning("Starting without an MarketData.app Token will not allow you to get market data!")
self.MARKETDATA_TOKEN = "" log.warning("Use this affiliate link so that the bot can stay free:")
except KeyError: log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo")
self.MARKETDATA_TOKEN = ""
log.warning("Starting without an MarketData.app Token will not allow you to get market data!") if self.MARKETDATA_TOKEN != "":
log.warning("Use this affiliate link so that the bot can stay free:") schedule.every().day.do(self.clear_charts)
log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo")
def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
if self.MARKETDATA_TOKEN != "": url = "https://api.marketdata.app/v1/" + endpoint
schedule.every().day.do(self.clear_charts)
# set token param if it wasn't passed.
self.get_symbol_list() params["token"] = self.MARKETDATA_TOKEN
schedule.every().day.do(self.get_symbol_list)
# Undocumented query variable that ensures bot usage can be
def get(self, endpoint, params=None, timeout=10, headers=None) -> dict: # monitored even if someone doesn't make it through an affiliate link.
url = "https://api.marketdata.app/v1/" + endpoint params["application"] = "simplestockbot"
if params is None: resp = r.get(url, params=params, timeout=timeout)
params = {}
# Make sure API returned a proper status code
# set token param if it wasn't passed. try:
params["token"] = self.MARKETDATA_TOKEN resp.raise_for_status()
except r.exceptions.HTTPError as e:
# Undocumented query variable that ensures bot usage can be logging.error(e)
# monitored even if someone doesn't make it through an affiliate link. return {}
params["application"] = "simplestockbot"
# Make sure API returned valid JSON
if headers is None: try:
headers = {} resp_json = resp.json()
headers = {"User-Agent": "Simple Stock Bot anson@ansonbiggs.com"} | headers
match resp_json["s"]:
resp = r.get(url, params=params, timeout=timeout, headers=headers) case "ok":
return resp_json
logging.error(resp.headers.items()) case "no_data":
return resp_json
# Make sure API returned a proper status code case "error":
try: logging.error("MarketData Error:\n" + resp_json["errmsg"])
resp.raise_for_status() return {}
except r.exceptions.HTTPError as e:
logging.error(e) except r.exceptions.JSONDecodeError as e:
return {} logging.error(e)
# Make sure API returned valid JSON return {}
try:
resp_json = resp.json() def clear_charts(self) -> None:
"""
match resp_json["s"]: Clears cache of chart data.
case "ok": Charts are cached so that only 1 API call per 24 hours is needed since the
return resp_json chart data is expensive and a large download.
case "no_data": """
return resp_json self.charts = {}
case "error":
logging.error("MarketData Error:\n" + resp_json["errmsg"]) def status(self) -> str:
return {} # TODO: At the moment this API is poorly documented, this function likely needs to be revisited later.
except r.exceptions.JSONDecodeError as e: try:
logging.error(e) status = r.get(
"https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A",
return {} timeout=5,
)
def symbol_id(self, symbol: str) -> Dict[str, Dict]: status.raise_for_status()
return self.symbol_list.get(symbol.upper(), None) except r.HTTPError:
return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
def get_symbol_list(self): except r.Timeout:
# Doesn't use `self.get()` since needs are much different return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage."
sec_resp = r.get(
"https://www.sec.gov/files/company_tickers.json", statusJSON = status.json()
headers={
"User-Agent": "Simple Stock Bot anson@ansonbiggs.com", if statusJSON["status"] == "ok":
"Accept-Encoding": "gzip, deflate", return (
"Host": "www.sec.gov", f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
}, )
) else:
sec_resp.raise_for_status() return f"MarketData.app is currently reporting the following status: {statusJSON['status']}"
sec_data = sec_resp.json()
def price_reply(self, symbol: Stock) -> str:
for rank, ticker_info in sec_data.items(): """Returns price movement of Stock for the last market day, or after hours.
self.symbol_list[ticker_info["ticker"]] = {
"ticker": ticker_info["ticker"], Parameters
"title": ticker_info["title"], ----------
"mkt_cap_rank": rank, symbol : Stock
}
Returns
def clear_charts(self) -> None: -------
""" str
Clears cache of chart data. Formatted markdown
Charts are cached so that only 1 API call per 24 hours is needed since the """
chart data is expensive and a large download.
""" if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
self.charts = {} price = round(quoteResp["last"][0], 2)
def status(self) -> str: try:
# TODO: At the moment this API is poorly documented, this function likely needs to be revisited later. changePercent = round(quoteResp["changepct"][0], 2)
except TypeError:
try: return f"The price of {symbol} is {price}"
status = r.get(
"https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A", message = f"The current price of {symbol.name} is ${price} and "
timeout=5,
) if changePercent > 0.0:
status.raise_for_status() message += f"is currently up {changePercent}% for the day."
except r.HTTPError: elif changePercent < 0.0:
return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} seconds." message += f"is currently down {changePercent}% for the day."
except r.Timeout: else:
return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage." message += "hasn't shown any movement for the day."
statusJSON = status.json() return message
else:
if statusJSON["status"] == "ok": return f"Getting a quote for {symbol} encountered an error."
return (
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds." def spark_reply(self, symbol: Stock) -> str:
) if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
else: try:
return f"MarketData.app is currently reporting the following status: {statusJSON['status']}" changePercent = round(quoteResp["changepct"][0], 2)
return f"`{symbol.tag}`: {changePercent}%"
def price_reply(self, symbol: Stock) -> str: except TypeError:
"""Returns price movement of Stock for the last market day, or after hours. pass
Parameters return f"`{symbol.tag}`"
----------
symbol : Stock def intra_reply(self, symbol: Stock) -> pd.DataFrame:
"""Returns price data for a symbol of the past month up until the previous trading days close.
Returns Also caches multiple requests made in the same day.
-------
str Parameters
Formatted markdown ----------
""" symbol : str
Stock symbol.
if quoteResp := self.get(f"stocks/quotes/{symbol.symbol}/"):
price = round(quoteResp["last"][0], 2) Returns
-------
try: pd.DataFrame
changePercent = round(quoteResp["changepct"][0], 2) Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
except TypeError: """
return f"The price of {symbol.name} is ${price}" schedule.run_pending()
message = f"The current price of {symbol.name} is ${price} and " try:
return self.charts[symbol.id.upper()]
if changePercent > 0.0: except KeyError:
message += f"is currently up {changePercent}% for the day." pass
elif changePercent < 0.0:
message += f"is currently down {changePercent}% for the day." resolution = "15" # minutes
else: now = dt.datetime.now(self.marketTimeZone)
message += "hasn't shown any movement for the day."
if self.openTime < now.time():
return message startTime = now.replace(hour=9, minute=30)
else: else:
return f"Getting a quote for {symbol} encountered an error." startTime = now - dt.timedelta(days=1)
def spark_reply(self, symbol: Stock) -> str: if data := self.get(
if quoteResp := self.get(f"stocks/quotes/{symbol}/"): f"stocks/candles/{resolution}/{symbol}",
try: params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True},
changePercent = round(quoteResp["changepct"][0], 2) ):
return f"`{symbol.tag}`: {changePercent}%" data.pop("s")
except TypeError: df = pd.DataFrame(data)
pass df["t"] = pd.to_datetime(df["t"], unit="s", utc=True)
df.set_index("t", inplace=True)
return f"`{symbol.tag}`"
df.rename(
def intra_reply(self, symbol: Stock) -> pd.DataFrame: columns={
"""Returns price data for a symbol of the past month up until the previous trading days close. "o": "Open",
Also caches multiple requests made in the same day. "h": "High",
"l": "Low",
Parameters "c": "Close",
---------- "v": "Volume",
symbol : str },
Stock symbol. inplace=True,
)
Returns
------- self.charts[symbol.id.upper()] = df
pd.DataFrame return df
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
""" return pd.DataFrame()
schedule.run_pending()
def chart_reply(self, symbol: Stock) -> pd.DataFrame:
try: """Returns price data for a symbol of the past month up until the previous trading days close.
return self.charts[symbol.id.upper()] Also caches multiple requests made in the same day.
except KeyError:
pass Parameters
----------
resolution = "15" # minutes symbol : str
now = dt.datetime.now(self.marketTimeZone) Stock symbol.
if self.openTime < now.time(): Returns
startTime = now.replace(hour=9, minute=30) -------
else: pd.DataFrame
startTime = now - dt.timedelta(days=1) Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
"""
if data := self.get( schedule.run_pending()
f"stocks/candles/{resolution}/{symbol}",
params={ try:
"from": startTime.timestamp(), return self.charts[symbol.id.upper()]
"to": now.timestamp(), except KeyError:
"extended": True, pass
},
): to_date = dt.datetime.today().strftime("%Y-%m-%d")
data.pop("s") from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d")
df = pd.DataFrame(data) resultion = "daily"
df["t"] = pd.to_datetime(df["t"], unit="s", utc=True)
df.set_index("t", inplace=True) if data := self.get(
f"stocks/candles/{resultion}/{symbol}",
df.rename( params={
columns={ "from": from_date,
"o": "Open", "to": to_date,
"h": "High", },
"l": "Low", ):
"c": "Close", data.pop("s")
"v": "Volume",
}, df = pd.DataFrame(data)
inplace=True, df["t"] = pd.to_datetime(df["t"], unit="s")
) df.set_index("t", inplace=True)
self.charts[symbol.id.upper()] = df df.rename(
return df columns={
"o": "Open",
return pd.DataFrame() "h": "High",
"l": "Low",
def chart_reply(self, symbol: Stock) -> pd.DataFrame: "c": "Close",
"""Returns price data for a symbol of the past month up until the previous trading days close. "v": "Volume",
Also caches multiple requests made in the same day. },
inplace=True,
Parameters )
----------
symbol : str self.charts[symbol.id.upper()] = df
Stock symbol. return df
Returns return pd.DataFrame()
-------
pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
"""
schedule.run_pending()
try:
return self.charts[symbol.id.upper()]
except KeyError:
pass
to_date = dt.datetime.today().strftime("%Y-%m-%d")
from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d")
resultion = "daily"
if data := self.get(
f"stocks/candles/{resultion}/{symbol}",
params={
"from": from_date,
"to": to_date,
},
):
data.pop("s")
df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s")
df.set_index("t", inplace=True)
df.rename(
columns={
"o": "Open",
"h": "High",
"l": "Low",
"c": "Close",
"v": "Volume",
},
inplace=True,
)
self.charts[symbol.id.upper()] = df
return df
return pd.DataFrame()
def options_reply(self, request: str) -> str:
"""Undocumented API Usage!"""
options_data = self.get(f"options/quotes/{request}")
for key in options_data.keys():
options_data[key] = options_data[key][0]
options_data["underlying"] = "$" + options_data["underlying"]
options_data["updated"] = humanize.naturaltime(dt.datetime.now() - dt.datetime.fromtimestamp(options_data["updated"]))
options_data["expiration"] = humanize.naturaltime(
dt.datetime.now() - dt.datetime.fromtimestamp(options_data["expiration"])
)
options_data["firstTraded"] = humanize.naturaltime(
dt.datetime.now() - dt.datetime.fromtimestamp(options_data["firstTraded"])
)
rename = {
"optionSymbol": "Option Symbol",
"underlying": "Underlying",
"expiration": "Expiration",
"side": "side",
"strike": "strike",
"firstTraded": "First Traded",
"updated": "Last Updated",
"bid": "bid",
"bidSize": "bidSize",
"mid": "mid",
"ask": "ask",
"askSize": "askSize",
"last": "last",
"openInterest": "Open Interest",
"volume": "Volume",
"inTheMoney": "inTheMoney",
"intrinsicValue": "Intrinsic Value",
"extrinsicValue": "Extrinsic Value",
"underlyingPrice": "Underlying Price",
"iv": "Implied Volatility",
"delta": "delta",
"gamma": "gamma",
"theta": "theta",
"vega": "vega",
"rho": "rho",
}
options_cleaned = OrderedDict()
for old, new in rename.items():
if old in options_data:
options_cleaned[new] = options_data[old]
return options_cleaned
+50 -55
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@@ -1,55 +1,50 @@
import logging import pandas as pd
import logging
import pandas as pd
class Symbol:
class Symbol: """
""" symbol: What the user calls it. ie tsla or btc
symbol: What the user calls it. ie tsla or btc id: What the api expects. ie tsla or bitcoin
id: What the api expects. ie tsla or bitcoin name: Human readable. ie Tesla or Bitcoin
name: Human readable. ie Tesla or Bitcoin tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC
tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC """
"""
currency = "usd"
currency = "usd" pass
pass
def __init__(self, symbol) -> None:
def __init__(self, symbol) -> None: self.symbol = symbol
self.symbol = symbol self.id = symbol
self.id = symbol self.name = symbol
self.name = symbol self.tag = "$" + symbol
self.tag = "$" + symbol
def __repr__(self) -> str:
def __repr__(self) -> str: return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>"
return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>"
def __str__(self) -> str:
def __str__(self) -> str: return self.id
return self.id
def __hash__(self): class Stock(Symbol):
return hash(self.id) """Stock Market Object. Gets data from MarketData"""
def __init__(self, symbol: str) -> None:
class Stock(Symbol): self.symbol = symbol
"""Stock Market Object. Gets data from MarketData""" self.id = symbol
self.name = "$" + symbol.upper()
def __init__(self, symbol_info: dict) -> None: self.tag = "$" + symbol.lower()
self.symbol = symbol_info["ticker"]
self.id = symbol_info["ticker"]
self.name = symbol_info["title"] class Coin(Symbol):
self.tag = "$" + symbol_info["ticker"] """Cryptocurrency Object. Gets data from CoinGecko."""
self.market_cap_rank = symbol_info["mkt_cap_rank"]
def __init__(self, symbol: pd.DataFrame) -> None:
if len(symbol) > 1:
class Coin(Symbol): logging.info(f"Crypto with shared id:\n\t{symbol.id}")
"""Cryptocurrency Object. Gets data from CoinGecko.""" symbol = symbol.head(1)
def __init__(self, symbol: pd.DataFrame) -> None: self.symbol = symbol.symbol.values[0]
if len(symbol) > 1: self.id = symbol.id.values[0]
logging.info(f"Crypto with shared id:\n\t{symbol.id}") self.name = symbol.name.values[0]
symbol = symbol.head(1) self.tag = symbol.type_id.values[0].upper()
self.symbol = symbol.symbol.values[0]
self.id = symbol.id.values[0]
self.name = symbol.name.values[0]
self.tag = symbol.type_id.values[0].upper()
+367 -380
View File
@@ -1,380 +1,367 @@
import logging import logging
from typing import List from typing import List
import pandas as pd import pandas as pd
import requests as r import requests as r
import schedule import schedule
from markdownify import markdownify from markdownify import markdownify
from common.Symbol import Coin
from common.utilities import rate_limited from common.Symbol import Coin
import time log = logging.getLogger(__name__)
log = logging.getLogger(__name__)
class cg_Crypto:
"""
class cg_Crypto: Functions for finding crypto info
""" """
Functions for finding crypto info
""" vs_currency = "usd" # simple/supported_vs_currencies for list of options
vs_currency = "usd" # simple/supported_vs_currencies for list of options trending_cache: List[str] = []
trending_cache: List[str] = [] def __init__(self) -> None:
self.get_symbol_list()
def __init__(self) -> None: schedule.every().day.do(self.get_symbol_list)
self.get_symbol_list()
schedule.every().day.do(self.get_symbol_list) def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
url = "https://api.coingecko.com/api/v3" + endpoint
# Coingecko's rate limit is 30 requests per minute. resp = r.get(url, params=params, timeout=timeout)
# Since there are two bots sharing the same IP, we allocate half of that limit to each bot. # Make sure API returned a proper status code
# This results in a rate limit of 15 requests per minute for each bot. try:
# Given this, the rate limit effectively becomes 1 request every 4 seconds for each bot. resp.raise_for_status()
@rate_limited(0.25) except r.exceptions.HTTPError as e:
def get(self, endpoint, params: dict = {}, timeout=10) -> dict: log.error(e)
url = "https://api.coingecko.com/api/v3" + endpoint return {}
resp = r.get(url, params=params, timeout=timeout)
# Make sure API returned a proper status code # Make sure API returned valid JSON
try:
if resp.status_code == 429: resp_json = resp.json()
log.warning(f"CoinGecko returned 429 - Too Many Requests for endpoint: {endpoint}. Sleeping and trying again.") return resp_json
time.sleep(10) except r.exceptions.JSONDecodeError as e:
return self.get(endpoint=endpoint, params=params, timeout=timeout) log.error(e)
return {}
try:
resp.raise_for_status() def symbol_id(self, symbol) -> str:
except r.exceptions.HTTPError as e: try:
log.error(e) return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0]
return {} except KeyError:
return ""
# Make sure API returned valid JSON
try: def get_symbol_list(self):
resp_json = resp.json() raw_symbols = self.get("/coins/list")
return resp_json symbols = pd.DataFrame(data=raw_symbols)
except r.exceptions.JSONDecodeError as e:
log.error(e) # Removes all binance-peg symbols
return {} symbols = symbols[~symbols["id"].str.contains("binance-peg")]
def symbol_id(self, symbol) -> str: symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"]
try: symbols = symbols[["id", "symbol", "name", "description"]]
return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0] symbols["type_id"] = "$$" + symbols["symbol"]
except KeyError:
return "" self.symbol_list = symbols
def get_symbol_list(self): def status(self) -> str:
raw_symbols = self.get("/coins/list") """Checks CoinGecko /ping endpoint for API issues.
symbols = pd.DataFrame(data=raw_symbols)
Returns
# Removes all binance-peg symbols -------
symbols = symbols[~symbols["id"].str.contains("binance-peg")] str
Human readable text on status of CoinGecko API
symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"] """
symbols = symbols[["id", "symbol", "name", "description"]] status = r.get(
symbols["type_id"] = "$$" + symbols["symbol"] "https://api.coingecko.com/api/v3/ping",
timeout=5,
self.symbol_list = symbols )
def status(self) -> str: try:
"""Checks CoinGecko /ping endpoint for API issues. status.raise_for_status()
return (
Returns f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
------- )
str except r.HTTPError:
Human readable text on status of CoinGecko API return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
"""
status = r.get( def price_reply(self, coin: Coin) -> str:
"https://api.coingecko.com/api/v3/ping", """Returns current market price or after hours if its available for a given coin symbol.
timeout=5,
) Parameters
----------
try: symbols : list
status.raise_for_status() List of coin symbols.
return (
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds." Returns
) -------
except r.HTTPError: Dict[str, str]
return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} seconds." Each symbol passed in is a key with its value being a human readable
markdown formatted string of the symbols price and movement.
def price_reply(self, coin: Coin) -> str: """
"""Returns current market price or after hours if its available for a given coin symbol.
if resp := self.get(
Parameters "/simple/price",
---------- params={
symbols : list "ids": coin.id,
List of coin symbols. "vs_currencies": self.vs_currency,
"include_24hr_change": "true",
Returns },
------- ):
Dict[str, str] try:
Each symbol passed in is a key with its value being a human readable data = resp[coin.id]
markdown formatted string of the symbols price and movement.
""" price = data[self.vs_currency]
change = data[self.vs_currency + "_24h_change"]
if resp := self.get( if change is None:
"/simple/price", change = 0
params={ except KeyError:
"ids": coin.id, return f"{coin.id} returned an error."
"vs_currencies": self.vs_currency,
"include_24hr_change": "true", message = f"The current price of {coin.name} is $**{price:,}**"
},
): # Determine wording of change text
try: if change > 0:
data = resp[coin.id] message += f", the coin is currently **up {change:.3f}%** for today"
elif change < 0:
price = data[self.vs_currency] message += f", the coin is currently **down {change:.3f}%** for today"
change = data[self.vs_currency + "_24h_change"] else:
if change is None: message += ", the coin hasn't shown any movement today."
change = 0
except KeyError: else:
return f"{coin.id} returned an error." message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`"
message = f"The current price of {coin.name} is $**{price:,}**" return message
# Determine wording of change text def intra_reply(self, symbol: Coin) -> pd.DataFrame:
if change > 0: """Returns price data for a symbol since the last market open.
message += f", the coin is currently **up {change:.3f}%** for today"
elif change < 0: Parameters
message += f", the coin is currently **down {change:.3f}%** for today" ----------
else: symbol : str
message += ", the coin hasn't shown any movement today." Stock symbol.
else: Returns
message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`" -------
pd.DataFrame
return message Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
"""
def intra_reply(self, symbol: Coin) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open. if resp := self.get(
f"/coins/{symbol.id}/ohlc",
Parameters params={"vs_currency": self.vs_currency, "days": 1},
---------- ):
symbol : str df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
Stock symbol. df["Date"] = pd.to_datetime(df["Date"], unit="ms")
df = df.set_index("Date")
Returns return df
-------
pd.DataFrame return pd.DataFrame()
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
""" def chart_reply(self, symbol: Coin) -> pd.DataFrame:
"""Returns price data for a symbol of the past month up until the previous trading days close.
if resp := self.get( Also caches multiple requests made in the same day.
f"/coins/{symbol.id}/ohlc",
params={"vs_currency": self.vs_currency, "days": 1}, Parameters
): ----------
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna() symbol : str
df["Date"] = pd.to_datetime(df["Date"], unit="ms") Stock symbol.
df = df.set_index("Date")
return df Returns
-------
return pd.DataFrame() pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
def chart_reply(self, symbol: Coin) -> 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. if resp := self.get(
f"/coins/{symbol.id}/ohlc",
Parameters params={"vs_currency": self.vs_currency, "days": 30},
---------- ):
symbol : str df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
Stock symbol. df["Date"] = pd.to_datetime(df["Date"], unit="ms")
df = df.set_index("Date")
Returns return df
-------
pd.DataFrame return pd.DataFrame()
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
""" def stat_reply(self, symbol: Coin) -> str:
"""Gathers key statistics on coin. Mostly just CoinGecko scores.
if resp := self.get(
f"/coins/{symbol.id}/ohlc", Parameters
params={"vs_currency": self.vs_currency, "days": 30}, ----------
): symbol : Coin
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
df["Date"] = pd.to_datetime(df["Date"], unit="ms") Returns
df = df.set_index("Date") -------
return df str
Preformatted markdown.
return pd.DataFrame() """
def stat_reply(self, symbol: Coin) -> str: if data := self.get(
"""Gathers key statistics on coin. Mostly just CoinGecko scores. f"/coins/{symbol.id}",
params={
Parameters "localization": "false",
---------- },
symbol : Coin ):
return f"""
Returns [{data['name']}]({data['links']['homepage'][0]}) Statistics:
------- Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,}
str Market Cap Ranking: {data.get('market_cap_rank',"Not Available")}
Preformatted markdown. CoinGecko Scores:
""" Overall: {data.get('coingecko_score','Not Available')}
Development: {data.get('developer_score','Not Available')}
if data := self.get( Community: {data.get('community_score','Not Available')}
f"/coins/{symbol.id}", Public Interest: {data.get('public_interest_score','Not Available')}
params={ """
"localization": "false", else:
}, return f"{symbol.symbol} returned an error."
):
return f""" def cap_reply(self, coin: Coin) -> str:
[{data['name']}]({data['links']['homepage'][0]}) Statistics: """Gets market cap for Coin
Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,}
Market Cap Ranking: {data.get('market_cap_rank',"Not Available")} Parameters
CoinGecko Scores: ----------
Overall: {data.get('coingecko_score','Not Available')} coin : Coin
Development: {data.get('developer_score','Not Available')}
Community: {data.get('community_score','Not Available')} Returns
Public Interest: {data.get('public_interest_score','Not Available')} -------
""" str
else: Preformatted markdown.
return f"{symbol.symbol} returned an error." """
def cap_reply(self, coin: Coin) -> str: if resp := self.get(
"""Gets market cap for Coin "/simple/price",
params={
Parameters "ids": coin.id,
---------- "vs_currencies": self.vs_currency,
coin : Coin "include_market_cap": "true",
},
Returns ):
------- log.debug(resp)
str try:
Preformatted markdown. data = resp[coin.id]
"""
price = data[self.vs_currency]
if resp := self.get( cap = data[self.vs_currency + "_market_cap"]
"/simple/price", except KeyError:
params={ return f"{coin.id} returned an error."
"ids": coin.id,
"vs_currencies": self.vs_currency, if cap == 0:
"include_market_cap": "true", return f"The market cap for {coin.name} is not available for unknown reasons."
},
): message = (
log.debug(resp) f"The current price of {coin.name} is $**{price:,}** and"
try: + " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}"
data = resp[coin.id] )
price = data[self.vs_currency] else:
cap = data[self.vs_currency + "_market_cap"] message = f"The Coin: {coin.name} was not found or returned and error."
except KeyError:
return f"{coin.id} returned an error." return message
if cap == 0: def info_reply(self, symbol: Coin) -> str:
return f"The market cap for {coin.name} is not available for unknown reasons." """Gets coin description
message = ( Parameters
f"The current price of {coin.name} is $**{price:,}** and" ----------
+ " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}" symbol : Coin
)
Returns
else: -------
message = f"The Coin: {coin.name} was not found or returned and error." str
Preformatted markdown.
return message """
def info_reply(self, symbol: Coin) -> str: if data := self.get(
"""Gets coin description f"/coins/{symbol.id}",
params={"localization": "false"},
Parameters ):
---------- try:
symbol : Coin return markdownify(data["description"]["en"])
except KeyError:
Returns return f"{symbol} does not have a description available."
-------
str return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
Preformatted markdown.
""" def spark_reply(self, symbol: Coin) -> str:
change = self.get(
if data := self.get( "/simple/price",
f"/coins/{symbol.id}", params={
params={"localization": "false"}, "ids": symbol.id,
): "vs_currencies": self.vs_currency,
try: "include_24hr_change": "true",
return markdownify(data["description"]["en"]) },
except KeyError: )[symbol.id]["usd_24h_change"]
return f"{symbol} does not have a description available."
return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%"
return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
def trending(self) -> list[str]:
def spark_reply(self, symbol: Coin) -> str: """Gets current coins trending on coingecko
change = self.get(
"/simple/price", Returns
params={ -------
"ids": symbol.id, list[str]
"vs_currencies": self.vs_currency, list of $$ID: NAME, CHANGE%
"include_24hr_change": "true", """
},
)[symbol.id]["usd_24h_change"] coins = self.get("/search/trending")
try:
return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%" trending = []
for coin in coins["coins"]:
def trending(self) -> list[str]: c = coin["item"]
"""Gets current coins trending on coingecko
sym = c["symbol"].upper()
Returns name = c["name"]
------- change = self.get(
list[str] "/simple/price",
list of $$ID: NAME, CHANGE% params={
""" "ids": c["id"],
"vs_currencies": self.vs_currency,
coins = self.get("/search/trending") "include_24hr_change": "true",
try: },
trending = [] )[c["id"]]["usd_24h_change"]
for coin in coins["coins"]:
c = coin["item"] msg = f"`$${sym}`: {name}, {change:.2f}%"
sym = c["symbol"].upper() trending.append(msg)
name = c["name"]
change = self.get( except Exception as e:
"/simple/price", log.warning(e)
params={ return self.trending_cache
"ids": c["id"],
"vs_currencies": self.vs_currency, self.trending_cache = trending
"include_24hr_change": "true", return trending
},
)[c["id"]]["usd_24h_change"] def batch_price(self, coins: list[Coin]) -> list[str]:
"""Gets price of a list of coins all in one API call
msg = f"`$${sym}`: {name}, {change:.2f}%"
Parameters
trending.append(msg) ----------
coins : list[Coin]
except Exception as e:
log.warning(e) Returns
return self.trending_cache -------
list[str]
self.trending_cache = trending returns preformatted list of strings detailing price movement of each coin passed in.
return trending """
query = ",".join([c.id for c in coins])
def batch_price(self, coins: list[Coin]) -> list[str]:
"""Gets price of a list of coins all in one API call prices = self.get(
"/simple/price",
Parameters params={
---------- "ids": query,
coins : list[Coin] "vs_currencies": self.vs_currency,
"include_24hr_change": "true",
Returns },
------- )
list[str]
returns preformatted list of strings detailing price movement of each coin passed in. replies = []
""" for coin in coins:
query = ",".join([c.id for c in coins]) if coin.id in prices:
p = prices[coin.id]
prices = self.get(
"/simple/price", if p.get("usd_24h_change") is None:
params={ p["usd_24h_change"] = 0
"ids": query,
"vs_currencies": self.vs_currency, replies.append(
"include_24hr_change": "true", f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours."
}, )
)
return replies
replies = []
for coin in coins:
if coin.id in prices:
p = prices[coin.id]
if p.get("usd_24h_change") is None:
p["usd_24h_change"] = 0
replies.append(
f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours."
)
return replies
+6 -8
View File
@@ -1,8 +1,6 @@
cachetools==5.3.1 requests==2.31.0
humanize==4.8.0 pandas==2.1.1
markdownify==0.11.6 schedule==1.2.1
mplfinance==0.12.10b0 mplfinance==0.12.10b0
pandas==2.1.1 markdownify==0.11.6
requests==2.31.0 cachetools==5.3.1
rush==2021.4.0
schedule==1.2.1
+395 -407
View File
@@ -1,407 +1,395 @@
"""Function that routes symbols to the correct API provider. """Function that routes symbols to the correct API provider.
""" """
import datetime import datetime
import logging import logging
import random import random
import re import re
from typing import Dict
import pandas as pd
import pandas as pd import schedule
import schedule from cachetools import TTLCache, cached
from cachetools import TTLCache, cached
from common.cg_Crypto import cg_Crypto
from common.cg_Crypto import cg_Crypto from common.MarketData import MarketData
from common.MarketData import MarketData from common.Symbol import Coin, Stock, Symbol
from common.Symbol import Coin, Stock, Symbol
from typing import Dict
log = logging.getLogger(__name__)
log = logging.getLogger(__name__)
class Router:
STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})" class Router:
CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})" STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})"
trending_count: Dict[str, float] = {} CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})"
trending_count: Dict[str, float] = {}
def __init__(self):
self.stock = MarketData() def __init__(self):
self.crypto = cg_Crypto() self.stock = MarketData()
self.crypto = cg_Crypto()
schedule.every().hour.do(self.trending_decay)
schedule.every().hour.do(self.trending_decay)
def trending_decay(self, decay=0.5):
"""Decays the value of each trending stock by a multiplier""" def trending_decay(self, decay=0.5):
t_copy = {} """Decays the value of each trending stock by a multiplier"""
dead_keys = [] t_copy = {}
if self.trending_count: dead_keys = []
t_copy = self.trending_count.copy() if self.trending_count:
for key in t_copy.keys(): t_copy = self.trending_count.copy()
if t_copy[key] < 0.01: for key in t_copy.keys():
# Prune Keys if t_copy[key] < 0.01:
dead_keys.append(key) # This just makes sure were not keeping around keys that havent been called in a very long time.
else: dead_keys.append(key)
t_copy[key] = t_copy[key] * decay else:
for dead in dead_keys: t_copy[key] = t_copy[key] * decay
t_copy.pop(dead) for dead in dead_keys:
t_copy.pop(dead)
self.trending_count = t_copy.copy()
log.info("Decayed trending symbols.") self.trending_count = t_copy.copy()
log.info("Decayed trending symbols.")
def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Coin]:
"""Finds stock tickers starting with a dollar sign, and cryptocurrencies with two dollar signs def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Symbol]:
in a blob of text and returns them in a list. """Finds stock tickers starting with a dollar sign, and cryptocurrencies with two dollar signs
in a blob of text and returns them in a list.
Parameters
---------- Parameters
text : str ----------
Blob of text. text : str
Blob of text.
Returns
------- Returns
list[Symbol] -------
List of stock symbols as Symbol objects list[Symbol]
""" List of stock symbols as Symbol objects
schedule.run_pending() """
schedule.run_pending()
symbols: list[Symbol] = []
stock_matches = set(re.findall(self.STOCK_REGEX, text)) symbols: list[Symbol] = []
coin_matches = set(re.findall(self.CRYPTO_REGEX, text)) stocks = set(re.findall(self.STOCK_REGEX, text))
for stock in stocks:
for stock_match in stock_matches: # Market data lacks tools to check if a symbol is valid.
# Market data lacks tools to check if a symbol is valid. symbols.append(Stock(stock))
if stock_info := self.stock.symbol_id(stock_match):
symbols.append(Stock(stock_info)) coins = set(re.findall(self.CRYPTO_REGEX, text))
else: for coin in coins:
log.info(f"{stock_match} is not in list of stocks") sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin.lower(), case=False)]
if sym.empty:
for coin_match in coin_matches: log.info(f"{coin} is not in list of coins")
sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin_match.lower(), case=False)] else:
if sym.empty: symbols.append(Coin(sym))
log.info(f"{coin_match} is not in list of coins") if symbols:
else: for symbol in symbols:
symbols.append(Coin(sym)) self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight
if symbols: log.debug(self.trending_count)
for symbol in symbols:
self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight return symbols
log.debug(self.trending_count)
def status(self, bot_resp) -> str:
return symbols """Checks for any issues with APIs.
def status(self, bot_resp) -> str: Returns
"""Checks for any issues with APIs. -------
str
Returns Human readable text on status of the bot and relevant APIs
------- """
str
Human readable text on status of the bot and relevant APIs stats = f"""
""" Bot Status:
{bot_resp}
stats = f"""
Bot Status: Stock Market Data:
{bot_resp} {self.stock.status()}
Stock Market Data: Cryptocurrency Data:
{self.stock.status()} {self.crypto.status()}
"""
Cryptocurrency Data:
{self.crypto.status()} log.warning(stats)
"""
return stats
log.warning(stats)
def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame:
return stats """Searches based on the shortest symbol that contains the same string as the search.
Should be very fast compared to a fuzzy search.
def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame:
"""Searches based on the shortest symbol that contains the same string as the search. Parameters
Should be very fast compared to a fuzzy search. ----------
search : str
Parameters String used to match against symbols.
----------
search : str Returns
String used to match against symbols. -------
list[tuple[str, str]]
Returns Each tuple contains: (Symbol, Issue Name).
------- """
list[tuple[str, str]]
Each tuple contains: (Symbol, Issue Name). # df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list])
""" df = self.crypto.symbol_list
# df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list]) df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values(
df = self.crypto.symbol_list by="type_id", key=lambda x: x.str.len()
)
df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values(
by="type_id", key=lambda x: x.str.len() symbols = df.head(matches)
) symbols["price_reply"] = symbols["type_id"].apply(
lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0]
symbols = df.head(matches) )
symbols["price_reply"] = symbols["type_id"].apply(
lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0] return symbols
)
def price_reply(self, symbols: list[Symbol]) -> list[str]:
return symbols """Returns current market price or after hours if its available for a given stock symbol.
def price_reply(self, symbols: list[Symbol]) -> list[str]: Parameters
"""Returns current market price or after hours if its available for a given stock symbol. ----------
symbols : list
Parameters List of stock symbols.
----------
symbols : list Returns
List of stock symbols. -------
Dict[str, str]
Returns Each symbol passed in is a key with its value being a human readable
------- markdown formatted string of the symbols price and movement.
Dict[str, str] """
Each symbol passed in is a key with its value being a human readable replies = []
markdown formatted string of the symbols price and movement.
""" for symbol in symbols:
replies = [] log.info(symbol)
if isinstance(symbol, Stock):
for symbol in symbols: replies.append(self.stock.price_reply(symbol))
log.info(symbol) elif isinstance(symbol, Coin):
if isinstance(symbol, Stock): replies.append(self.crypto.price_reply(symbol))
replies.append(self.stock.price_reply(symbol)) else:
elif isinstance(symbol, Coin): log.info(f"{symbol} is not a Stock or Coin")
replies.append(self.crypto.price_reply(symbol))
else: return replies
log.info(f"{symbol} is not a Stock or Coin")
def info_reply(self, symbols: list) -> list[str]:
return replies """Gets information on stock symbols.
def info_reply(self, symbols: list) -> list[str]: Parameters
"""Gets information on stock symbols. ----------
symbols : list[str]
Parameters List of stock symbols.
----------
symbols : list[str] Returns
List of stock symbols. -------
Dict[str, str]
Returns Each symbol passed in is a key with its value being a human readable formatted
------- string of the symbols information.
Dict[str, str] """
Each symbol passed in is a key with its value being a human readable formatted replies = []
string of the symbols information.
""" for symbol in symbols:
replies = [] if isinstance(symbol, Stock):
replies.append(self.stock.info_reply(symbol))
for symbol in symbols: elif isinstance(symbol, Coin):
if isinstance(symbol, Stock): replies.append(self.crypto.info_reply(symbol))
replies.append(self.stock.info_reply(symbol)) else:
elif isinstance(symbol, Coin): log.debug(f"{symbol} is not a Stock or Coin")
replies.append(self.crypto.info_reply(symbol))
else: return replies
log.debug(f"{symbol} is not a Stock or Coin")
def intra_reply(self, symbol: Symbol) -> pd.DataFrame:
return replies """Returns price data for a symbol since the last market open.
def intra_reply(self, symbol: Symbol) -> pd.DataFrame: Parameters
"""Returns price data for a symbol since the last market open. ----------
symbol : str
Parameters Stock symbol.
----------
symbol : str Returns
Stock symbol. -------
pd.DataFrame
Returns Returns a timeseries dataframe with high, low, and volume data if its available.
------- Otherwise returns empty pd.DataFrame.
pd.DataFrame """
Returns a timeseries dataframe with high, low, and volume data if its available.
Otherwise returns empty pd.DataFrame. if isinstance(symbol, Stock):
""" return self.stock.intra_reply(symbol)
elif isinstance(symbol, Coin):
if isinstance(symbol, Stock): return self.crypto.intra_reply(symbol)
return self.stock.intra_reply(symbol) else:
elif isinstance(symbol, Coin): log.debug(f"{symbol} is not a Stock or Coin")
return self.crypto.intra_reply(symbol) return pd.DataFrame()
else:
log.debug(f"{symbol} is not a Stock or Coin") def chart_reply(self, symbol: Symbol) -> pd.DataFrame:
return 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.
def chart_reply(self, symbol: Symbol) -> pd.DataFrame:
"""Returns price data for a symbol of the past month up until the previous trading days close. Parameters
Also caches multiple requests made in the same day. ----------
symbol : str
Parameters Stock symbol.
----------
symbol : str Returns
Stock symbol. -------
pd.DataFrame
Returns Returns a timeseries dataframe with high, low, and volume data if its available.
------- Otherwise returns empty pd.DataFrame.
pd.DataFrame """
Returns a timeseries dataframe with high, low, and volume data if its available. if isinstance(symbol, Stock):
Otherwise returns empty pd.DataFrame. return self.stock.chart_reply(symbol)
""" elif isinstance(symbol, Coin):
if isinstance(symbol, Stock): return self.crypto.chart_reply(symbol)
return self.stock.chart_reply(symbol) else:
elif isinstance(symbol, Coin): log.debug(f"{symbol} is not a Stock or Coin")
return self.crypto.chart_reply(symbol) return pd.DataFrame()
else:
log.debug(f"{symbol} is not a Stock or Coin") def stat_reply(self, symbols: list[Symbol]) -> list[str]:
return pd.DataFrame() """Gets key statistics for each symbol in the list
def stat_reply(self, symbols: list[Symbol]) -> list[str]: Parameters
"""Gets key statistics for each symbol in the list ----------
symbols : list[str]
Parameters List of stock symbols
----------
symbols : list[str] Returns
List of stock symbols -------
Dict[str, str]
Returns Each symbol passed in is a key with its value being a human readable
------- formatted string of the symbols statistics.
Dict[str, str] """
Each symbol passed in is a key with its value being a human readable replies = []
formatted string of the symbols statistics.
""" for symbol in symbols:
replies = [] if isinstance(symbol, Stock):
replies.append(self.stock.stat_reply(symbol))
for symbol in symbols: elif isinstance(symbol, Coin):
if isinstance(symbol, Stock): replies.append(self.crypto.stat_reply(symbol))
replies.append(self.stock.stat_reply(symbol)) else:
elif isinstance(symbol, Coin): log.debug(f"{symbol} is not a Stock or Coin")
replies.append(self.crypto.stat_reply(symbol))
else: return replies
log.debug(f"{symbol} is not a Stock or Coin")
def cap_reply(self, symbols: list[Symbol]) -> list[str]:
return replies """Gets market cap for each symbol in the list
def cap_reply(self, symbols: list[Symbol]) -> list[str]: Parameters
"""Gets market cap for each symbol in the list ----------
symbols : list[str]
Parameters List of stock symbols
----------
symbols : list[str] Returns
List of stock symbols -------
Dict[str, str]
Returns Each symbol passed in is a key with its value being a human readable
------- formatted string of the symbols market cap.
Dict[str, str] """
Each symbol passed in is a key with its value being a human readable replies = []
formatted string of the symbols market cap.
""" for symbol in symbols:
replies = [] if isinstance(symbol, Stock):
replies.append(self.stock.cap_reply(symbol))
for symbol in symbols: elif isinstance(symbol, Coin):
if isinstance(symbol, Stock): replies.append(self.crypto.cap_reply(symbol))
replies.append(self.stock.cap_reply(symbol)) else:
elif isinstance(symbol, Coin): log.debug(f"{symbol} is not a Stock or Coin")
replies.append(self.crypto.cap_reply(symbol))
else: return replies
log.debug(f"{symbol} is not a Stock or Coin")
def spark_reply(self, symbols: list[Symbol]) -> list[str]:
return replies """Gets change for each symbol and returns it in a compact format
def spark_reply(self, symbols: list[Symbol]) -> list[str]: Parameters
"""Gets change for each symbol and returns it in a compact format ----------
symbols : list[str]
Parameters List of stock symbols
----------
symbols : list[str] Returns
List of stock symbols -------
list[str]
Returns List of human readable strings.
------- """
list[str] replies = []
List of human readable strings.
""" for symbol in symbols:
replies = [] if isinstance(symbol, Stock):
replies.append(self.stock.spark_reply(symbol))
for symbol in symbols: elif isinstance(symbol, Coin):
if isinstance(symbol, Stock): replies.append(self.crypto.spark_reply(symbol))
replies.append(self.stock.spark_reply(symbol)) else:
elif isinstance(symbol, Coin): log.debug(f"{symbol} is not a Stock or Coin")
replies.append(self.crypto.spark_reply(symbol))
else: return replies
log.debug(f"{symbol} is not a Stock or Coin")
@cached(cache=TTLCache(maxsize=1024, ttl=600))
return replies def trending(self) -> str:
"""Checks APIs for trending symbols.
@cached(cache=TTLCache(maxsize=1024, ttl=600))
def trending(self) -> str: Returns
"""Checks APIs for trending symbols. -------
list[str]
Returns List of preformatted strings to be sent to user.
------- """
list[str]
List of preformatted strings to be sent to user. # stocks = self.stock.trending()
""" coins = self.crypto.trending()
# stocks = self.stock.trending() reply = ""
coins = self.crypto.trending()
log.warning(self.trending_count)
reply = "" if self.trending_count:
reply += "🔥Trending on the Stock Bot:\n`"
log.warning(self.trending_count) reply += "" * len("Trending on the Stock Bot:") + "`\n"
if self.trending_count:
reply += "🔥Trending on the Stock Bot:\n`" sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5]
reply += "" * len("Trending on the Stock Bot:") + "`\n" log.warning(sorted_trending)
for t in sorted_trending:
sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5] reply += self.spark_reply(self.find_symbols(t))[0] + "\n"
log.warning(sorted_trending)
for t in sorted_trending: if coins:
reply += self.spark_reply(self.find_symbols(t))[0] + "\n" reply += "\n\n🦎Trending on CoinGecko:\n`"
reply += "" * len("Trending on CoinGecko:") + "`\n"
if coins: for coin in coins:
reply += "\n\n🦎Trending on CoinGecko:\n`" reply += coin + "\n"
reply += "" * len("Trending on CoinGecko:") + "`\n"
for coin in coins: if "`$GME" in reply:
reply += coin + "\n" reply = reply.replace("🔥", "🦍")
if "`$GME" in reply: if reply:
reply = reply.replace("🔥", "🦍") return reply
else:
if reply: log.warning("Failed to collect trending data.")
return reply return "Trending data is not currently available."
else:
log.warning("Failed to collect trending data.") def random_pick(self) -> str:
return "Trending data is not currently available." # choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"]))
choice = random.choice(list(self.crypto.symbol_list["description"]))
def random_pick(self) -> str: hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y")
# choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"]))
choice = random.choice(list(self.crypto.symbol_list["description"])) return f"{choice}\nBuy and hold until: {hold}"
hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y")
def batch_price_reply(self, symbols: list[Symbol]) -> list[str]:
return f"{choice}\nBuy and hold until: {hold}" """Returns current market price or after hours if its available for a given stock symbol.
def batch_price_reply(self, symbols: list[Symbol]) -> list[str]: Parameters
"""Returns current market price or after hours if its available for a given stock symbol. ----------
symbols : list
Parameters List of stock symbols.
----------
symbols : list Returns
List of stock symbols. -------
Dict[str, str]
Returns Each symbol passed in is a key with its value being a human readable
------- markdown formatted string of the symbols price and movement.
Dict[str, str] """
Each symbol passed in is a key with its value being a human readable replies = []
markdown formatted string of the symbols price and movement. stocks = []
""" coins = []
replies = []
stocks = [] for symbol in symbols:
coins = [] if isinstance(symbol, Stock):
stocks.append(symbol)
for symbol in symbols: elif isinstance(symbol, Coin):
if isinstance(symbol, Stock): coins.append(symbol)
stocks.append(symbol) else:
elif isinstance(symbol, Coin): log.debug(f"{symbol} is not a Stock or Coin")
coins.append(symbol)
else: if stocks:
log.debug(f"{symbol} is not a Stock or Coin") for stock in stocks:
replies.append(self.stock.price_reply(stock))
if stocks: if coins:
for stock in stocks: replies = replies + self.crypto.batch_price(coins)
replies.append(self.stock.price_reply(stock))
if coins: return replies
replies = replies + self.crypto.batch_price(coins)
return replies
def options(self, request: str, symbols: list[Symbol]) -> Dict:
request = request.lower()
if len(symbols) == 1:
symbol = symbols[0]
request = request.replace(symbol.tag.lower(), symbol.symbol.lower())
return self.stock.options_reply(request)
else:
return self.stock.options_reply(request)
-31
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@@ -1,31 +0,0 @@
import time
import logging
log = logging.getLogger(__name__)
def rate_limited(max_per_second):
"""
Decorator that ensures the wrapped function is called at most `max_per_second` times per second.
"""
min_interval = 1.0 / max_per_second
def decorate(func):
last_called = [0.0]
def rate_limited_function(*args, **kwargs):
elapsed = time.time() - last_called[0]
left_to_wait = min_interval - elapsed
if left_to_wait > 0:
log.info(f"Rate limit exceeded. Waiting for {left_to_wait:.2f} seconds.")
time.sleep(left_to_wait)
ret = func(*args, **kwargs)
last_called[0] = time.time()
return ret
return rate_limited_function
return decorate
+6 -6
View File
@@ -1,10 +1,10 @@
-r common/requirements.txt -r common/requirements.txt
-r site/requirements.txt -r docs/requirements.txt
ipython==8.16.1 black==23.7.0
jupyter_client==8.4.0 flake8==6.1.0
jupyter_core==5.4.0 Flake8-pyproject==1.2.3
pylama==8.4.1 pylama==8.4.1
mypy==1.5.1 mypy==1.5.1
types-cachetools==5.3.0.6 types-cachetools==5.3.0.6
types-pytz==2023.3.1.1 types-pytz==2023.3.0.1
ruff==0.1.6 ruff==0.0.292
+59 -59
View File
@@ -1,59 +1,59 @@
"""Functions and Info specific to the discord Bot """Functions and Info specific to the discord Bot
""" """
import re import re
import requests as r import requests as r
class D_info: class D_info:
license = re.sub( license = re.sub(
r"\b\n", r"\b\n",
" ", " ",
r.get("https://gitlab.com/simple-stock-bots/simple-stock-bot/-/raw/master/LICENSE").text, r.get("https://gitlab.com/simple-stock-bots/simple-discord-stock-bot/-/raw/master/LICENSE").text,
) )
help_text = """ help_text = """
Thanks for using this bot. If you like it, [support me with a beer](https://www.buymeacoffee.com/Anson). 🍻 Thanks for using this bot. If you like it, [support me with a beer](https://www.buymeacoffee.com/Anson). 🍻
For stock data or hosting your own bot, use my link. This helps keep the bot free: For stock data or hosting your own bot, use my link. This helps keep the bot free:
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord). [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
**Updates**: Join the bot's discord: https://t.me/simplestockbotnews. **Updates**: Join the bot's discord: https://t.me/simplestockbotnews.
**Documentation**: All details about the bot are at [docs](https://simplestockbot.com). **Documentation**: All details about the bot are at [docs](https://docs.simplestockbot.com).
The bot reads _"Symbols"_. Use `$` for stock tickers and `$$` for cryptocurrencies. For example: The bot reads _"Symbols"_. Use `$` for stock tickers and `$$` for cryptocurrencies. For example:
- `/chart $$eth` gives Ethereum's monthly chart. - `/chart $$eth` gives Ethereum's monthly chart.
- `/dividend $psec` shows Prospect Capital's dividend. - `/dividend $psec` shows Prospect Capital's dividend.
Type any symbol, and the bot shows its price. Like: `Is $$btc rising since $tsla accepts it?` will give Bitcoin and Tesla prices. Type any symbol, and the bot shows its price. Like: `Is $$btc rising since $tsla accepts it?` will give Bitcoin and Tesla prices.
**Commands** **Commands**
- `/donate [USD amount]`: Support the bot. 🎗️ - `/donate [USD amount]`: Support the bot. 🎗️
- `/intra $[symbol]`: See stock's latest movement. 📈 - `/intra $[symbol]`: See stock's latest movement. 📈
- `/chart $[symbol]`: View a month's stock activity. 📊 - `/chart $[symbol]`: View a month's stock activity. 📊
- `/trending`: Check trending stocks and cryptos. 💬 - `/trending`: Check trending stocks and cryptos. 💬
- `/help`: Need help? Ask here. 🆘 - `/help`: Need help? Ask here. 🆘
**Inline Features** **Inline Features**
Type @SimpleStockBot `[search]` anywhere to find and get stock/crypto prices. Note: Prices might be delayed up to an hour. Type @SimpleStockBot `[search]` anywhere to find and get stock/crypto prices. Note: Prices might be delayed up to an hour.
Data from: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord). Data from: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
Issues with the bot? Use `/status` or [contact us](https://simplestockbot.com/contact). Issues with the bot? Use `/status` or [contact us](https://docs.simplestockbot.com/contact).
""" """
donate_text = """ donate_text = """
Simple Stock Bot runs purely on [donations.](https://www.buymeacoffee.com/Anson) Simple Stock Bot runs purely on [donations.](https://www.buymeacoffee.com/Anson)
Every donation supports server costs and Every donation supports server costs and
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) provides our data. [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) provides our data.
**How to Donate?** **How to Donate?**
1. Use `/donate [amount in USD]` command. 1. Use `/donate [amount in USD]` command.
- E.g., `/donate 2` donates 2 USD. - E.g., `/donate 2` donates 2 USD.
2. Or, donate at [buymeacoffee](https://www.buymeacoffee.com/Anson). 2. Or, donate at [buymeacoffee](https://www.buymeacoffee.com/Anson).
- It's quick, doesn't need an account, and accepts Paypal or Credit card. - It's quick, doesn't need an account, and accepts Paypal or Credit card.
Questions? Visit our [website](https://simplestockbot.com). Questions? Visit our [website](https://docs.simplestockbot.com).
""" """
+202 -256
View File
@@ -1,256 +1,202 @@
import datetime import datetime
import io import io
import logging import logging
import os import os
import mplfinance as mpf import mplfinance as mpf
import nextcord import nextcord
from D_info import D_info from nextcord.ext import commands
from nextcord.ext import commands
from D_info import D_info
from common.symbol_router import Router from common.symbol_router import Router
DISCORD_TOKEN = os.environ["DISCORD"] DISCORD_TOKEN = os.environ["DISCORD"]
s = Router() s = Router()
d = D_info() d = D_info()
intents = nextcord.Intents.default() intents = nextcord.Intents.default()
client = nextcord.Client(intents=intents) client = nextcord.Client(intents=intents)
bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents) bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents)
logger = logging.getLogger("nextcord") logger = logging.getLogger("nextcord")
logger.setLevel(logging.INFO) logger.setLevel(logging.INFO)
handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w") handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w")
handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s")) handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s"))
logger.addHandler(handler) logger.addHandler(handler)
@bot.event @bot.event
async def on_ready(): async def on_ready():
logging.info("Starting Simple Stock Bot") logging.info("Starting Simple Stock Bot")
logging.info(f"Logged in as {bot.user.name} {bot.user.id}") logging.info(f"Logged in as {bot.user.name} {bot.user.id}")
@bot.command() @bot.command()
async def status(ctx: commands): async def status(ctx: commands):
"""Debug command for diagnosing if the bot is experiencing any issues.""" """Debug command for diagnosing if the bot is experiencing any issues."""
logging.info(f"Status command ran by {ctx.message.author}") logging.warning(f"Status command ran by {ctx.message.author}")
message = "" message = ""
try: try:
message = "Contact MisterBiggs#0465 if you need help.\n" message = "Contact MisterBiggs#0465 if you need help.\n"
message += s.status(f"Bot recieved your message in: {bot.latency*10:.4f} seconds") + "\n" message += s.status(f"Bot recieved your message in: {bot.latency*10:.4f} seconds") + "\n"
except Exception as ex: except Exception as ex:
logging.critical(ex) logging.critical(ex)
message += ( message += (
f"*\n\nERROR ENCOUNTERED:*\n{ex}\n\n" f"*\n\nERROR ENCOUNTERED:*\n{ex}\n\n"
+ "*The bot encountered an error while attempting to find errors. Please contact the bot admin.*" + "*The bot encountered an error while attempting to find errors. Please contact the bot admin.*"
) )
await ctx.send(message) await ctx.send(message)
@bot.command() @bot.command()
async def license(ctx: commands): async def license(ctx: commands):
"""Returns the bots license agreement.""" """Returns the bots license agreement."""
await ctx.send(d.license) await ctx.send(d.license)
@bot.command() @bot.command()
async def donate(ctx: commands): async def donate(ctx: commands):
"""Details on how to support the development and hosting of the bot.""" """Details on how to support the development and hosting of the bot."""
await ctx.send(d.donate_text) await ctx.send(d.donate_text)
@bot.command() @bot.command()
async def search(ctx: commands, *, query: str): async def search(ctx: commands, *, query: str):
"""Search for a stock symbol using either symbol of company name.""" """Search for a stock symbol using either symbol of company name."""
results = s.search_symbols(query) results = s.search_symbols(query)
if results: if results:
reply = "*Search Results:*\n`$ticker: Company Name`\n" reply = "*Search Results:*\n`$ticker: Company Name`\n"
for query in results: for query in results:
reply += "`" + query[1] + "`\n" reply += "`" + query[1] + "`\n"
await ctx.send(reply) await ctx.send(reply)
@bot.command() @bot.command()
async def crypto(ctx: commands, _: str): async def crypto(ctx: commands, _: str):
"""Get the price of a cryptocurrency using in USD.""" """Get the price of a cryptocurrency using in USD."""
await ctx.send("Crypto now has native support. Any crypto can be called using two dollar signs: `$$eth` `$$btc` `$$doge`") await ctx.send("Crypto now has native support. Any crypto can be called using two dollar signs: `$$eth` `$$btc` `$$doge`")
@bot.command() @bot.command()
async def intra(ctx: commands, sym: str): async def intra(ctx: commands, sym: str):
"""Get a chart for the stocks movement since market open.""" """Get a chart for the stocks movement since market open."""
symbols = s.find_symbols(sym) symbols = s.find_symbols(sym)
if len(symbols): if len(symbols):
symbol = symbols[0] symbol = symbols[0]
else: else:
await ctx.send("No symbols or coins found.") await ctx.send("No symbols or coins found.")
return return
df = s.intra_reply(symbol) df = s.intra_reply(symbol)
if df.empty: if df.empty:
await ctx.send("Invalid symbol please see `/help` for usage details.") await ctx.send("Invalid symbol please see `/help` for usage details.")
return return
with ctx.channel.typing(): with ctx.channel.typing():
buf = io.BytesIO() buf = io.BytesIO()
mpf.plot( mpf.plot(
df, df,
type="renko", type="renko",
title=f"\n{symbol.name}", title=f"\n{symbol.name}",
volume="volume" in df.keys(), volume="volume" in df.keys(),
style="yahoo", style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
) )
buf.seek(0) buf.seek(0)
# Get price so theres no request lag after the image is sent # Get price so theres no request lag after the image is sent
price_reply = s.price_reply([symbol])[0] price_reply = s.price_reply([symbol])[0]
await ctx.send( await ctx.send(
file=nextcord.File( file=nextcord.File(
buf, buf,
filename=f"{symbol.name}:intra{datetime.date.today().strftime('%S%M%d%b%Y')}.png", filename=f"{symbol.name}:intra{datetime.date.today().strftime('%S%M%d%b%Y')}.png",
), ),
content=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to" content=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to"
+ f" {df.last_valid_index().strftime('%d %b at %H:%M')}", + f" {df.last_valid_index().strftime('%d %b at %H:%M')}",
) )
await ctx.send(price_reply) await ctx.send(price_reply)
@bot.command() @bot.command()
async def chart(ctx: commands, sym: str): async def chart(ctx: commands, sym: str):
"""returns a chart of the past month of data for a symbol""" """returns a chart of the past month of data for a symbol"""
symbols = s.find_symbols(sym) symbols = s.find_symbols(sym)
if len(symbols): if len(symbols):
symbol = symbols[0] symbol = symbols[0]
else: else:
await ctx.send("No symbols or coins found.") await ctx.send("No symbols or coins found.")
return return
df = s.chart_reply(symbol) df = s.chart_reply(symbol)
if df.empty: if df.empty:
await ctx.send("Invalid symbol please see `/help` for usage details.") await ctx.send("Invalid symbol please see `/help` for usage details.")
return return
with ctx.channel.typing(): with ctx.channel.typing():
buf = io.BytesIO() buf = io.BytesIO()
mpf.plot( mpf.plot(
df, df,
type="candle", type="candle",
title=f"\n{symbol.name}", title=f"\n{symbol.name}",
volume="volume" in df.keys(), volume="volume" in df.keys(),
style="yahoo", style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
) )
buf.seek(0) buf.seek(0)
# Get price so theres no request lag after the image is sent # Get price so theres no request lag after the image is sent
price_reply = s.price_reply([symbol])[0] price_reply = s.price_reply([symbol])[0]
await ctx.send( await ctx.send(
file=nextcord.File( file=nextcord.File(
buf, buf,
filename=f"{symbol.name}:1M{datetime.date.today().strftime('%d%b%Y')}.png", filename=f"{symbol.name}:1M{datetime.date.today().strftime('%d%b%Y')}.png",
), ),
content=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}" content=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}"
+ f" to {df.last_valid_index().strftime('%d, %b %Y')}", + f" to {df.last_valid_index().strftime('%d, %b %Y')}",
) )
await ctx.send(price_reply) await ctx.send(price_reply)
@bot.command() @bot.command()
async def cap(ctx: commands, sym: str): async def cap(ctx: commands, sym: str):
"""Get the market cap of a symbol""" """Get the market cap of a symbol"""
symbols = s.find_symbols(sym) symbols = s.find_symbols(sym)
if symbols: if symbols:
with ctx.channel.typing(): with ctx.channel.typing():
for reply in s.cap_reply(symbols): for reply in s.cap_reply(symbols):
await ctx.send(reply) await ctx.send(reply)
@bot.command() @bot.command()
async def trending(ctx: commands): async def trending(ctx: commands):
"""Get a list of Trending Stocks and Coins""" """Get a list of Trending Stocks and Coins"""
with ctx.channel.typing(): with ctx.channel.typing():
await ctx.send(s.trending()) await ctx.send(s.trending())
@bot.event @bot.event
async def on_message(message): async def on_message(message):
# Ignore messages from the bot itself if message.author.id == bot.user.id:
if message.author.id == bot.user.id: return
return if message.content:
if message.content[0] == "/":
content_lower = message.content.lower() await bot.process_commands(message)
return
# Process commands starting with "/"
if message.content.startswith("/"): if "$" in message.content:
await bot.process_commands(message) symbols = s.find_symbols(message.content)
return
if symbols:
symbols = None for reply in s.price_reply(symbols):
if "$" in message.content: await message.channel.send(reply)
symbols = s.find_symbols(message.content) return
if "call" in content_lower or "put" in content_lower:
await handle_options(message, symbols) bot.run(DISCORD_TOKEN)
return
if symbols:
for reply in s.price_reply(symbols):
await message.channel.send(reply)
return
async def handle_options(message, symbols):
logging.info("Options detected")
try:
options_data = s.options(message.content.lower(), symbols)
# Create the embed directly within the function
embed = nextcord.Embed(title=options_data["Option Symbol"], description=options_data["Underlying"], color=0x3498DB)
# Key details
details = (
f"Expiration: {options_data['Expiration']}\n" f"Side: {options_data['side']}\n" f"Strike: {options_data['strike']}"
)
embed.add_field(name="Details", value=details, inline=False)
# Pricing info
pricing_info = (
f"Bid: {options_data['bid']} (Size: {options_data['bidSize']})\n"
f"Mid: {options_data['mid']}\n"
f"Ask: {options_data['ask']} (Size: {options_data['askSize']})\n"
f"Last: {options_data['last']}"
)
embed.add_field(name="Pricing", value=pricing_info, inline=False)
# Volume and open interest
volume_info = f"Open Interest: {options_data['Open Interest']}\n" f"Volume: {options_data['Volume']}"
embed.add_field(name="Activity", value=volume_info, inline=False)
# Greeks
greeks_info = (
f"IV: {options_data['Implied Volatility']}\n"
f"Delta: {options_data['delta']}\n"
f"Gamma: {options_data['gamma']}\n"
f"Theta: {options_data['theta']}\n"
f"Vega: {options_data['vega']}\n"
f"Rho: {options_data['rho']}"
)
embed.add_field(name="Greeks", value=greeks_info, inline=False)
# Send the created embed
await message.channel.send(embed=embed)
except KeyError as ex:
logging.warning(f"KeyError processing options for message {message.content}: {ex}")
bot.run(DISCORD_TOKEN)
+1 -1
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@@ -1,2 +1,2 @@
nextcord==2.6.0 nextcord==2.4.2
-r requirements.txt -r requirements.txt
+3 -2
View File
@@ -1,12 +1,13 @@
version: "3" version: '3'
services: services:
telegram: telegram:
build: build:
context: . context: .
dockerfile: telegram/Dockerfile dockerfile: telegram/Dockerfile
image: registry.gitlab.com/simple-stock-bots/simple-telegram-stock-bot
env_file: .env env_file: .env
discord: discord:
build: build:
context: . context: .
dockerfile: discord/Dockerfile dockerfile: discord/Dockerfile
env_file: .env env_file: .env
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+12
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@@ -0,0 +1,12 @@
image: python:3.11
pages:
stage: deploy
script:
- cd ./docs
- pip install -r requirements.txt
- mkdocs build --site-dir ../public --verbose
artifacts:
paths:
- public
# rules:
# - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH'
+12
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@@ -0,0 +1,12 @@
{
"yaml.schemas": {
"https://squidfunk.github.io/mkdocs-material/schema.json": "mkdocs.yml"
},
"yaml.customTags": [
"!ENV scalar",
"!ENV sequence",
"tag:yaml.org,2002:python/name:materialx.emoji.to_svg",
"tag:yaml.org,2002:python/name:materialx.emoji.twemoji",
"tag:yaml.org,2002:python/name:pymdownx.superfences.fence_code_format"
]
}
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+30
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@@ -0,0 +1,30 @@
# Simple Stock Bots
[![Platform](https://img.shields.io/badge/platform-Telegram-blue.svg)](https://t.me/SimpleStockBot)
[![Platform](https://img.shields.io/badge/platform-Discord-blue.svg)](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot)
[![License](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
## Table of Contents
+ [About](#about)
+ [Getting Started](#getting_started)
+ [Usage](#usage)
+ [Contributing](../CONTRIBUTING.md)
## About <a name = "about"></a>
Simple Stock Bots is a family of messaging bots that aim to provide simple bots that provide information on the stock market. Currently there are only [Telegram](./telegram) and [Discord](./discord) Bots.
## Getting Started <a name = "getting_started"></a>
The simplest way to use these bots is to use the version that I host on Digital Ocean. You can find the links to access them below:
+ [Telegram](https://t.me/SimpleStockBot)
+ [Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot)
Alternatively, this project is completely open source and instructions on how to run your own instance of the bot are provided on each of the bots pages.
## Source Code
The source code for the bots is completely open and hosted on Gitlab.
+ [Telegram](https://gitlab.com/simple-stock-bots/simple-telegram-bot)
+ [Discord](https://gitlab.com/simple-stock-bots/simple-discord-stock-bot)
@@ -1,16 +1,13 @@
Symbols are used in headings to denote what platforms and symbol types a command supports. Symbols are used in headings to denote what platforms and symbol types a command supports.
- Telegram Only :fontawesome-brands-telegram: - Telegram Only :fontawesome-brands-telegram-plane:
- Discord Only :fontawesome-brands-discord: - Discord Only :fontawesome-brands-discord:
- Bot Commands :robot: - Bot Commands :robot:
- Cryptocurrency Support :material-currency-btc: - Cryptocurrency Support :material-currency-btc:
- Stock Market Support :bank: - Stock Market Support :bank:
- OTC Support :dollar:
## Get the Bots ## Symbol Detection :material-currency-btc: :bank: :dollar:
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button } [:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## Symbol Detection :material-currency-btc: :bank:
The Simple Stock Bot looks at every message it can see and tries to detect stock and cryptocurrency symbols. Stock market tickers are denoted with a single `$` and cryptocurrency coins are denoted with a double `$$`. So getting the price of Tesla is as simple as `$tsla` and Bitcoin `$$btc`. These symbols can be in any part of a message and there can be multiple of them aswell. The Simple Stock Bot looks at every message it can see and tries to detect stock and cryptocurrency symbols. Stock market tickers are denoted with a single `$` and cryptocurrency coins are denoted with a double `$$`. So getting the price of Tesla is as simple as `$tsla` and Bitcoin `$$btc`. These symbols can be in any part of a message and there can be multiple of them aswell.
@@ -28,13 +25,7 @@ The Simple Stock Bot looks at every message it can see and tries to detect stock
</div> </div>
</div> </div>
## Options Detection :bank: ## `/donate [Amount in USD]` :fontawesome-brands-telegram-plane:
This command allows you to query real-time data for stock options. By simply inputting the stock symbol, strike price, month, and specifying either a call or a put, you can get the latest options data right at your fingertips. For example, `AAPL $220 December call` will provide the current data for Apple's call option with a $220 strike price expiring in December.
![Image of the telegram bot providing options info.](img/telegram_options.png)
## `/donate [Amount in USD]` :fontawesome-brands-telegram-plane:
The donate command is used to send money to the bot to help keep it free. The premium stock market data and server rentals add up so any amount helps. See the [Donate](donate.md) page for more information. The donate command is used to send money to the bot to help keep it free. The premium stock market data and server rentals add up so any amount helps. See the [Donate](donate.md) page for more information.
@@ -88,7 +79,7 @@ This command makes a chart of the last 1 month of trading data up until the day
</div> </div>
## `/trending` ## `/trending`
Gets the latest trending stocks and their change in price Gets the latest trending stocks and their change in price
@@ -103,9 +94,7 @@ Gets the latest trending stocks and their change in price
━━━━━━━━━━━━━━━━━━━━━━━━━━ ━━━━━━━━━━━━━━━━━━━━━━━━━━
$GME: Gamestop Corporation - Class A, 5.06% $GME: Gamestop Corporation - Class A, 5.06%
$MMAT: Meta Materials Inc, 4.77% $MMAT: Meta Materials Inc, 4.77%
$$BTC: Bitcoin, -0.83%
$$
BTC: Bitcoin, -0.83%
$$ETH: Ethereum, 6.06% $$ETH: Ethereum, 6.06%
$$DOGE: Binance-Peg Dogecoin, 0.14% $$DOGE: Binance-Peg Dogecoin, 0.14%
@@ -178,11 +167,10 @@ Bot Status:
</div> </div>
## Inline Features :fontawesome-brands-telegram: :material-currency-btc: :bank: ## Inline Features :fontawesome-brands-telegram: :material-currency-btc: :bank: :dollar:
You can type @SimpleStockBot `[search]` in any chat or direct message to search for the stock bots You can type @SimpleStockBot `[search]` in any chat or direct message to search for the stock bots
full list of stock symbols and return the price of the ticker. Then once you select the ticker full list of stock symbols and return the price of the ticker. Then once you select the ticker
want the bot will send a message as you in that chat with the latest stock price. want the bot will send a message as you in that chat with the latest stock price.
The bot also looks at every message in any chat it is in for stock symbols.Symbols start with a The bot also looks at every message in any chat it is in for stock symbols.Symbols start with a
`$` followed by the stock symbol. For example:$tsla would return price information for Tesla Motors. `$` followed by the stock symbol. For example:$tsla would return price information for Tesla Motors.
$$
+6
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@@ -0,0 +1,6 @@
Feel free to reach out with bugs or suggestions at any of the following places:
- Message me on [Telegram](https://t.me/MisterBiggs)
- Message me on Discord `MisterBiggs#0465`
- Tweet me on [Twitter](https://twitter.com/AnsonBiggs)
- Open an issue on gitlab: [`Telegram Bot`](https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot) [`Discord Bot`](https://gitlab.com/simple-stock-bots/simple-discord-stock-bot)
+15
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@@ -0,0 +1,15 @@
Simple Stock Bot is run entirely on donations, and costs about $420 a year to run. All donations go directly towards paying for servers, and premium market data provided by [matketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo).
The best way to donate is through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) which accepts Paypal or Credit card.
Alternatively, you can donate on Telegram with the `/donate` [command](commands.md#donate-amount-in-usd).
If you have any questions get in [touch.](contact.md)
## Other Ways to Help:
- Follow me on [twitter](https://twitter.com/AnsonBiggs)
- Contribute to the project on [GitLab](https://gitlab.com/simple-stock-bots) or just leave a star
- Using my referral links to host your own Bot
- [matketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo)
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
+41
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@@ -0,0 +1,41 @@
# Self Hosted Bot
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
## Prerequisites
This project runs neatly in a docker container, so all that you need to run it yourself is [Docker](https://hub.docker.com/?overlay=onboarding) installed on your system.
Depending on what platform you'll need:
- Telegram API key which can be obtained for free by talking to [BotFather](https://telegram.me/botfather), more details [here.](https://core.telegram.org/bots#3-how-do-i-create-a-bot)
- Discord API key which can be obtained for free at [https://discord.com/developers](https://discord.com/developers)
Finally, you will need a [matketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo) API key. They offer a free tier that should be enough for any private groups, more details [here.](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo)
!!! tip
The bot will function without a [matketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo) key and will fall back to only using cryptocurrency data.
!!! note
If you want to accept donations you also need a Stripe API key and provide a `STRIPE` key to your bot. [https://stripe.com/]
## Installing
Once Docker is installed and you have your API keys for Telegram and [matketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo) getting the bot running on any platform is extremely easy.
Download or clone the repository to your machine and open a terminal in the project and build the Docker container.
```
docker build -t simple-telegram-bot .
```
Then run the bot using your API keys.
```
docker run --detach \
-e TELEGRAM=TELEGRAM_API_KEY \
-e MARKETDATA=MARKETDATA_API_KEY \
simple-telegram-bot
```
Your bot should be running! If you are new to Docker, I would recommend checking out its documentation for full control over your bot.

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# Simple Stock Bots
Simple Stock Bots is a family of messaging bots that aim to provide simple interface to stock market information.
## Getting Started
The bots can either be added to a server or can be direct messaged for the exact same functionality. Links for each platform are below:
[Telegram Bot :fontawesome-brands-telegram:](https://t.me/SimpleStockBot){ .md-button .md-button--primary }
[Discord Bot :fontawesome-brands-discord:](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button .md-button--primary }
Alternatively, this project is completely open source and instructions on how to run your own instance of the bot are provided on each of the bots pages. [Hosting](host.md)
## Usage
The bots are nearly identical between platforms, but sometimes a platform will have a feature that only it supports such as Telegrams inline messaging or Discords embeds. For full information see [Commands](commands.md)
## Source Code
The source code for the bots is completely open and hosted on GitLab. The project is licensed with an MIT License which is incredibly permissive. [The full text of the license can be read here](./LICENSE)
- [Telegram Bot Source](https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot)
- [Discord Bot Source](https://gitlab.com/simple-stock-bots/simple-discord-stock-bot)
If you decide to host your own bots using my source code please consider using my referral links for marketdata.app and DigitalOcean. We both get a kickback when you use them.
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
- [matketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo)
+18 -17
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@@ -1,30 +1,30 @@
site_name: Simple Stock Bot site_name: Simple Stock Bot Docs
site_url: https://simplestockbot.com site_url: https://docs.simplestockbot.com
repo_url: https://gitlab.com/simple-stock-bots/simple-stock-bot edit_uri: /simple-stock-bots/site/tree/master/docs
repo_url: https://gitlab.com/simple-stock-bots
repo_name: Simple Stock Bots repo_name: Simple Stock Bots
site_description: Simple Discord and Telegram chat bots for Stock Market Data. site_description: Simple Discord and Telegram chat bots for Stock Market Data.
site_author: Anson Biggs site_author: Anson Biggs
copyright: <a href="https://ansonbiggs.com">Anson Biggs</a> 2018 </br> Available Under an <a href="/LICENSE/">MIT LICENSE</a> </br> copyright: <a href="https://ansonbiggs.com">Anson Biggs</a> 2018 </br> Available Under an <a href="/LICENSE/">MIT LICENSE</a> </br>
nav: nav:
- Home: index.md - Home: index.md
- Commands: commands.md - Commands: commands.md
- Self-Host: host.md - Hosting: host.md
# - Donate: donate.md - Donate: donate.md
- Contact: contact.md - Contact: contact.md
- Blog: blog/index.md
theme: theme:
name: material name: material
custom_dir: overrides
language: en language: en
features: features:
- navigation.instant - navigation.instant
- navigation.tracking - navigation.tracking
- navigation.tabs - navigation.tabs
- navigation.tabs.sticky - navigation.tabs.sticky
- content.code.copy - navigation.footer
icon: icon:
logo: material/robot-love logo: material/robot-love
palette: palette:
@@ -52,22 +52,23 @@ extra:
link: https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot link: https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot
name: Get the Discord Bot name: Get the Discord Bot
- icon: material/chart-line-stacked - icon: material/chart-line-stacked
link: https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web link: https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo
name: MarketData.app for stock data name: MarketData.app for stock data
extra_css: extra_css:
- stylesheets/phone.css - stylesheets/phone.css
plugins: plugins:
- search - search
- social - social
- blog
markdown_extensions: markdown_extensions:
- attr_list - attr_list
- pymdownx.emoji: - pymdownx.emoji:
emoji_index: !!python/name:material.extensions.emoji.twemoji emoji_index: !!python/name:materialx.emoji.twemoji
emoji_generator: !!python/name:material.extensions.emoji.to_svg emoji_generator: !!python/name:materialx.emoji.to_svg
- admonition
- pymdownx.details
- pymdownx.superfences
+5
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@@ -0,0 +1,5 @@
mkdocs-material==9.4.4
# Required for Social Cards
Pillow==10.0.1
CairoSVG==2.7.1
-27
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@@ -1,27 +0,0 @@
{
"name": "simple-stock-bot",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"devDependencies": {
"prettier": "3.0.3"
}
},
"node_modules/prettier": {
"version": "3.0.3",
"resolved": "https://registry.npmjs.org/prettier/-/prettier-3.0.3.tgz",
"integrity": "sha512-L/4pUDMxcNa8R/EthV08Zt42WBO4h1rarVtK0K+QJG0X187OLo7l699jWw0GKuwzkPQ//jMFA/8Xm6Fh3J/DAg==",
"dev": true,
"bin": {
"prettier": "bin/prettier.cjs"
},
"engines": {
"node": ">=14"
},
"funding": {
"url": "https://github.com/prettier/prettier?sponsor=1"
}
}
}
}
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@@ -1,5 +0,0 @@
{
"devDependencies": {
"prettier": "3.0.3"
}
}
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@@ -1,2 +1,11 @@
[tool.black]
line-length = 130
[tool.flake8]
max-line-length = 130
[tool.pycodestyle]
max_line_length = 130
[tool.ruff] [tool.ruff]
line-length = 130 line-length = 130
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@@ -1,23 +0,0 @@
image: python:3.11
build_mkdocs:
stage: build_site
script:
- cd ./site
- pip install -r requirements.txt
- mkdocs build --site-dir ../public --verbose
artifacts:
paths:
- public
pages:
stage: deploy
script:
- echo "Publishing site..."
dependencies:
- build_mkdocs
artifacts:
paths:
- public
rules:
- if: "$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH"
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@@ -1,12 +0,0 @@
{
"yaml.schemas": {
"https://squidfunk.github.io/mkdocs-material/schema.json": "mkdocs.yml"
},
"yaml.customTags": [
"!ENV scalar",
"!ENV sequence",
"tag:yaml.org,2002:python/name:materialx.emoji.to_svg",
"tag:yaml.org,2002:python/name:materialx.emoji.twemoji",
"tag:yaml.org,2002:python/name:pymdownx.superfences.fence_code_format"
]
}
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@@ -1,5 +0,0 @@
authors:
Anson:
name: Anson Biggs
description: Creator
avatar: https://gitlab.com/uploads/-/system/user/avatar/1377308/avatar.png
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@@ -1 +0,0 @@
# Blog
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@@ -1,66 +0,0 @@
---
title: "Introducing Simple Stock Bot: Your Chat Group's Financial Whiz"
date: 2023-10-10
tags: [Simple Stock Bot, Introduction, Telegram, Discord, Financial Insights]
authors: [Anson]
description: >
Welcome to the world of Simple Stock Bot, where real-time financial insights are integrated seamlessly into your group chats on Telegram and Discord!
---
## What is Simple Stock Bot?
Simple Stock Bot is a chatbot designed to enrich your financial discussions on Telegram and Discord. Regardless of whether you're a seasoned trader or a beginner in the stock market, this bot is here to make your discussions more informative and engaging.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
I wonder how $tsla is affecting the price of $$btc
</div>
<div class="message from">
The current stock price of Tesla Inc is $866.57, the stock is currently up 1.68%
</div>
<div class="message from">
The current price of Bitcoin is $34,815, the coin is currently down -0.151% for today
</div>
</div>
</div>
<!-- more -->
With Simple Stock Bot, you can:
- **Fetch Real-time Quotes**: Obtain the latest stock and cryptocurrency prices instantly within your group chat.
- **View Charts**: Delve into intraday movements or assess a month's trading data right inside your group chat.
- **Stay Updated on Market Trends**: Discover what's buzzing in the stock and crypto spheres.
## Add the Bot to your Group
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button }
[:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## Using the Bot
Embarking on your journey with Simple Stock Bot is effortless. Just add the bot to your Telegram or Discord group, and you're all set to dive into financial discussions right from your chat!
Here are some simple commands to get you started:
- `/intra` to view intraday charts.
- `/chart` for a glimpse of the last month's trading data.
- `/trending` to catch up on the latest trending stocks and cryptocurrencies.
## Keeping It Free
Simple Stock Bot is a community-supported project, thriving on the contributions from its users. It's sustained entirely through donations to cover server costs and premium market data subscriptions, ensuring it remains free for everyone.
Feeling generous? You can support the project by [donating](https://simplestockbot.com/donate/), following on [Twitter](https://twitter.com/AnsonBiggs), or contributing on [GitLab](https://gitlab.com/simple-stock-bots/simple-stock-bot).
## Dive Deeper
Craving more insights and features? Explore the [official documentation](https://simplestockbot.com/) to uncover all the capabilities of Simple Stock Bot.
Get ready to elevate your financial discussions with Simple Stock Bot! Your group chats will never be the same again.
---
Stay tuned for more updates, tips, and financial insights brought to you by Simple Stock Bot. Heres to making every financial discussion enriched and informed!
@@ -1,40 +0,0 @@
---
title: "v2023.1 Release! New Stock Market Data Provider and More!"
date: 2023-10-16
tags: [Simple Stock Bot, Telegram, Discord, MarketDataApp]
authors: [Anson]
description: >
Discover the latest updates for Simple Stock Bot, including our new integration with MarketData.app for enhanced real-time stock market insights.
---
## 🌐 General Updates:
- **New Home**: We've transitioned to our fresh and updated website at [simplestockbot.com](https://simplestockbot.com/).
- **New Data Provider**: We're excited to announce [MarketData.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web) as our new provider for real-time stock market data, ensuring timely and accurate insights for our users.
<!-- more -->
## 📈 MarketData.app Integration Enhancements:
- We've introduced **additional options** to our MarketData.app integration, ensuring even more precise and varied financial data.
- **Afterhours Data Fix**: Addressed an issue where after hours stock market data caused errors.
- **Trending Symbol Accuracy**: Fixed a bug that led to the display of invalid symbols in the `/trending` command.
## 🤖 Bot Improvements & Fixes:
- **Unified Repository**: To streamline our development and deployment, we've merged the Discord and Telegram bots into a single monorepo. Check it out on [GitLab](https://gitlab.com/simple-stock-bots/simple-stock-bot). Contributions welcome!
- **Inline Functionality Restoration**: Fixed the telegram bot's inline functionality.
- **Python Telegram Bot Update**: Migrated to the latest version of `Python Telegram Bot` for superior performance and more features.
- **Rate Limiting Addition**: Implemented rate limiting to ensure optimal performance during peak usage times.
- **SO MUCH MORE**: [Move to Marketdata.app GitLab Issues](https://gitlab.com/simple-stock-bots/simple-stock-bot/-/milestones/3)
## 📝 Documentation & Repository Overhauls:
- **Centralized Documentation**: For convenience and improved maintenance, we've shifted our documentation into the monorepo.
- **Documentation Refinement**: Updated our documentation to reflect the latest homepage details.
**Special Mention**: Immense gratitude to our dedicated community for their continual feedback and unwavering support. Dive deeper into the financial realm with Simple Stock Bot!
---
📥 For any concerns, queries, or feedback, don't hesitate to [Contact Us](../../contact.md).
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---
title: "Simple Bot End-of-Life"
date: 2024-05-12
tags: [Simple Stock Bot, Introduction, Telegram, Discord, Financial Insights]
authors: [Anson]
description: >
Simple Stock Bot is being sunset.
---
## What is Simple Stock Bot?
For full details see my full blog post: https://notes.ansonbiggs.com/simple-stock-bot-end-of-life/
I am shutting down Simple Stock Bot, a popular Telegram and Discord bot that provided live stock and cryptocurrency market data. The bot was created in 2018 after my group chat lost access to the Google Allo, which had integrated market data. The bot grew to 15,000 monthly active users, but maintaining the service has become challenging due to increasing data costs and changes to the Discord API. I really appreciate the community and everyone that has donated along the way, this has been a seriously great ride. The bot will soon no longer function on Telegram and Discord.
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# I Would Love to Hear From You!
Your feedback and experience with Simple Stock Bot is invaluable. Whether you've encountered a bug, have a suggestion for improvement, or just want to share your experience, I'm all ears. Here are several ways you can get in touch:
- **Telegram**: Drop me a message on [Telegram](https://t.me/MisterBiggs).
- **Discord**: Feel free to reach out on Discord at `MisterBiggs#0465`.
- **Twitter**: Send me a tweet on [Twitter](https://twitter.com/AnsonBiggs).
- **GitLab**: For technical issues or feature requests, feel free to open an issue on our [GitLab Repository](https://gitlab.com/simple-stock-bots/simple-stock-bot).
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# Support Simple Stock Bot
Running Simple Stock Bot incurs a yearly expense of about $420, covering server costs and premium market data subscription from [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo). Every donation helps in maintaining the bot and ensuring its continued availability for all users.
Your support through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) is greatly appreciated, which accepts both PayPal and Credit Card donations.
For Telegram users, a convenient way to donate is by using the `/donate` [command](commands.md#donate-amount-in-usd).
Should you have any inquiries, feel free to get in [touch](contact.md).
## Additional Support:
Your engagement also counts as support! Here are other ways to contribute:
- Stay updated by following me on [Twitter](https://twitter.com/AnsonBiggs).
- Contribute to the project or star it on [GitLab](https://gitlab.com/simple-stock-bots).
- If you plan to host your own bot, consider using my referral links:
- [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web)
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
Your support in any form is immensely appreciated and helps in keeping Simple Stock Bot operational and free for everyone.
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# Self-Hosting Guide
This guide provides step-by-step instructions for setting up and running this project on your local machine, whether for development, testing, or personal use.
## Get the Bots
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button } [:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## Pre-requisites
Ensure the following are installed or obtained before proceeding:
- **[Docker](https://hub.docker.com/?overlay=onboarding)**: The project is containerized using Docker Compose, allowing it to run on any system with Docker installed.
- **API Keys**:
- **Telegram**: Obtain a free API key by interacting with [BotFather](https://telegram.me/botfather). More details [here](https://core.telegram.org/bots#3-how-do-i-create-a-bot).
- **Discord**: Get a free API key at [https://discord.com/developers](https://discord.com/developers).
- **[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web)**: Sign up to get an API key. A free tier is available and should suffice for private groups. More details [here](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo).
!!! tip
The bot will still operate without a [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo) key but will revert to using only cryptocurrency data.
!!! note
To enable donation acceptance, obtain a Stripe API key and provide a `STRIPE` key to your bot. [https://stripe.com/]()
## Setup Instructions
1. **Download/Clone the Repository**:
- Download or clone this repository to your local machine.
2. **Configure Environment Variables**:
- Navigate to the project directory and locate the `.env` file.
- Fill in the `.env` file with your obtained API keys:
```plaintext
MARKETDATA=your_marketdata_api_key
STRIPE=your_stripe_api_key
TELEGRAM=your_telegram_api_key
DISCORD=your_discord_api_key
```
Alternatively, pass the variables using Docker Compose environment variables or command-line arguments.
3. **Build and Run the Bot:**
- Open a terminal in the project directory.
- Build and run both bots using Docker Compose:
```bash
docker-compose up
```
Now, your bot(s) should be up and running! If you're unfamiliar with Docker, reviewing the [Docker documentation](https://docs.docker.com/) is highly recommended to gain better control over your bot and understand Docker commands better.
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# Elevate Your Groupchats with Real-time Stock Insights
Discover a new level of financial discussion with Simple Stock Bot, your go-to solution for real-time stock market and cryptocurrency insights within your Telegram or Discord group chats. Transform your everyday discussions into an interactive financial exploration experience. With Simple Stock Bot, keeping up with the stock market or cryptocurrency trends has never been more seamless and engaging.
## Get the Bots
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button } [:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## [Commands](commands.md)
### Real-Time Stock and Cryptocurrency Updates
- Get live price updates of stocks and cryptocurrencies.
- Symbol Detection: Use `$` for stocks and `$$` for cryptocurrencies, e.g., `$tsla` for Tesla and `$$btc` for Bitcoin.
### Intraday and Historical Data Visualization
- `/intra`: View a stock's movement since the last market open or a cryptocurrency's 24-hour chart.
- `/chart`: Provides a chart of the last month's trading data up till the day before.
### Trending Assets Awareness
- `/trending`: Discover the latest trending stocks and cryptocurrencies and their price changes.
### In-App Assistance and Support
- `/help`: Provides a quick summary of available commands for easy reference.
- `/donate`: Support the maintenance of the bot to ensure continued free access.
### User-Friendly Interaction
- Easy symbol and command usage for a smooth user experience.
- Engage with a community of financial enthusiasts and share insights effortlessly.
## [Contact](contact.md)
Need assistance or have inquiries? Feel free to reach out and I'll be happy to help.
## Powered by MarketData.app
Simple Stock Bots is able to provide real-time stock market insights thanks to the data supplied by [MarketData.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web). MarketData.app delivers accurate and up-to-date financial data, fueling the bot's capabilities in delivering timely stock quotes, charts, and other market-related information directly to your Telegram or Discord groups. The robust data infrastructure provided by MarketData.app not only ensures the reliability and accuracy of the information you receive but also enables the offering of Simple Stock Bots for free to all users. By leveraging MarketData.app's comprehensive financial data, the goal is to foster informed financial discussions and make market monitoring an effortless and accessible experience for everyone.
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{% extends "base.html" %}
<!-- Announcement bar -->
{% block announce %}
<div class="admonition danger" style="min-height: 20vh;">
<p class="admonition-title">This project is now archived!</p>
<p>
Please
<a href="/blog/2024/05/12/simple-bot-end-of-life/"
>click here for more information.</a
>
</p>
</div>
<div class="" admoniton></div>
{% endblock %}
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@@ -1,6 +0,0 @@
mkdocs-material==9.5.22
mkdocs-material-extensions==1.3.1
# Required for Social Cards
Pillow==10.0.1
CairoSVG==2.7.1
+70 -70
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"""Functions and Info specific to the Telegram Bot """Functions and Info specific to the Telegram Bot
""" """
import re import re
import requests as r import requests as r
class T_info: class T_info:
license = re.sub( license = re.sub(
r"\b\n", r"\b\n",
" ", " ",
r.get("https://gitlab.com/simple-stock-bots/simple-stock-bot/-/raw/master/LICENSE").text, r.get("https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot/-/raw/master/LICENSE").text,
) )
help_text = """ help_text = """
Appreciate this bot? Show support by [buying me a beer](https://www.buymeacoffee.com/Anson) 🍻. Appreciate this bot? Show support by [buying me a beer](https://www.buymeacoffee.com/Anson) 🍻.
Want stock data or to host your own bot? Help keep this bot free by using my Want stock data or to host your own bot? Help keep this bot free by using my
[affiliate link](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram). [affiliate link](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
📢 Stay updated on the bot's Telegram: https://t.me/simplestockbotnews. 📢 Stay updated on the bot's Telegram: https://t.me/simplestockbotnews.
**Guide**: All about using and setting up the bot is in the [docs](https://simplestockbot.com). **Guide**: All about using and setting up the bot is in the [docs](https://docs.simplestockbot.com).
The bot recognizes _"Symbols"_. `$` for stocks and `$$` for cryptos. Example: The bot recognizes _"Symbols"_. `$` for stocks and `$$` for cryptos. Example:
- `/chart $$eth` gets a month's Ethereum chart. - `/chart $$eth` gets a month's Ethereum chart.
- `/dividend $psec` shows Prospect Capital's dividend info. - `/dividend $psec` shows Prospect Capital's dividend info.
Mention a symbol, and the bot reveals its price. Mention a symbol, and the bot reveals its price.
E.g., `What's $$btc's price since $tsla accepts it?` gives Bitcoin and Tesla prices. E.g., `What's $$btc's price since $tsla accepts it?` gives Bitcoin and Tesla prices.
**Commands** **Commands**
- `/donate [USD]`: Support the bot. 🎗️ - `/donate [USD]`: Support the bot. 🎗️
- `/intra $[symbol]`: Today's stock activity. 📈 - `/intra $[symbol]`: Today's stock activity. 📈
- `/chart $[symbol]`: Past month's stock chart. 📊 - `/chart $[symbol]`: Past month's stock chart. 📊
- `/trending`: What's hot in stocks and cryptos. 💬 - `/trending`: What's hot in stocks and cryptos. 💬
- `/help`: Bot assistance. 🆘 - `/help`: Bot assistance. 🆘
**Inline Features** **Inline Features**
Search with @SimpleStockBot `[query]` anywhere. Search with @SimpleStockBot `[query]` anywhere.
Pick a ticker, and the bot shares the current price in chat. Note: Prices can lag by an hour. Pick a ticker, and the bot shares the current price in chat. Note: Prices can lag by an hour.
Data thanks to [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram). Data thanks to [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
Bot issues? Use `/status` or [contact us](https://simplestockbot.com/contact). Bot issues? Use `/status` or [contact us](https://docs.simplestockbot.com/contact).
""" """
donate_text = """ donate_text = """
Support Simple Stock Bot through [donations](https://www.buymeacoffee.com/Anson). Support Simple Stock Bot through [donations](https://www.buymeacoffee.com/Anson).
All funds help maintain servers, with data from All funds help maintain servers, with data from
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram). [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
**How to Donate?** **How to Donate?**
1. Use `/donate [amount in USD]`. E.g., `/donate 2` donates 2 USD. 1. Use `/donate [amount in USD]`. E.g., `/donate 2` donates 2 USD.
2. Or, quickly donate at [buymeacoffee](https://www.buymeacoffee.com/Anson). No account needed, accepts Paypal & Credit card. 2. Or, quickly donate at [buymeacoffee](https://www.buymeacoffee.com/Anson). No account needed, accepts Paypal & Credit card.
For questions, visit our [website](https://simplestockbot.com). For questions, visit our [website](https://docs.simplestockbot.com).
""" """
# Not used by the bot but for updating commands with BotFather # Not used by the bot but for updating commands with BotFather
commands = """ commands = """
donate - Donate to the bot 🎗️ donate - Donate to the bot 🎗️
help - Get some help using the bot. 🆘 help - Get some help using the bot. 🆘
trending - Trending Stocks and Cryptos. 💬 trending - Trending Stocks and Cryptos. 💬
intra - $[symbol] Plot since the last market open. 📈 intra - $[symbol] Plot since the last market open. 📈
chart - $[chart] Plot of the past month. 📊 chart - $[chart] Plot of the past month. 📊
""" """
+457 -508
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# Works with Python 3.8 # Works with Python 3.8
import datetime import datetime
import html import html
import io import io
import json import json
import logging import logging
import os import os
import random import random
import string import string
import traceback import traceback
from uuid import uuid4 from uuid import uuid4
import mplfinance as mpf import mplfinance as mpf
from T_info import T_info import telegram
from telegram import (
import telegram InlineQueryResultArticle,
from common.symbol_router import Router InputTextMessageContent,
from telegram import InlineQueryResultArticle, InputTextMessageContent, LabeledPrice, Update LabeledPrice,
from telegram.ext import ( Update,
Application, )
CommandHandler,
ContextTypes, from telegram.ext import (
InlineQueryHandler, Application,
MessageHandler, CommandHandler,
PreCheckoutQueryHandler, InlineQueryHandler,
filters, PreCheckoutQueryHandler,
) MessageHandler,
filters,
# Enable logging ContextTypes,
logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO) )
# set higher logging level for httpx to avoid all GET and POST requests being logged from common.symbol_router import Router
logging.getLogger("httpx").setLevel(logging.WARNING) from T_info import T_info
log = logging.getLogger(__name__) # Enable logging
logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO)
TELEGRAM_TOKEN = os.environ["TELEGRAM"]
# set higher logging level for httpx to avoid all GET and POST requests being logged
try: logging.getLogger("httpx").setLevel(logging.WARNING)
STRIPE_TOKEN = os.environ["STRIPE"]
except KeyError: log = logging.getLogger(__name__)
STRIPE_TOKEN = ""
log.warning("Starting without a STRIPE Token will not allow you to accept Donations!") TELEGRAM_TOKEN = os.environ["TELEGRAM"]
s = Router() try:
t = T_info() STRIPE_TOKEN = os.environ["STRIPE"]
except KeyError:
STRIPE_TOKEN = ""
log.info("Bot script started.") log.warning("Starting without a STRIPE Token will not allow you to accept Donations!")
s = Router()
async def start(update: Update, context: ContextTypes.DEFAULT_TYPE): t = T_info()
"""Send help text when the command /start is issued."""
log.info(f"Start command ran by {update.message.chat.username}")
await update.message.reply_text( log.info("Bot script started.")
text=t.help_text,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True, async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
) """Send help text when the command /start is issued."""
log.info(f"Start command ran by {update.message.chat.username}")
await update.message.reply_text(
async def help(update: Update, context: ContextTypes.DEFAULT_TYPE): text=t.help_text,
"""Send help text when the command /help is issued.""" parse_mode=telegram.constants.ParseMode.MARKDOWN,
log.info(f"Help command ran by {update.message.chat.username}") disable_notification=True,
await update.message.reply_text( )
text=t.help_text,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True, async def help(update: Update, context: ContextTypes.DEFAULT_TYPE):
) """Send help text when the command /help is issued."""
log.info(f"Help command ran by {update.message.chat.username}")
await update.message.reply_text(
async def license(update: Update, context: ContextTypes.DEFAULT_TYPE): text=t.help_text,
"""Send bots license when the /license command is issued.""" parse_mode=telegram.constants.ParseMode.MARKDOWN,
log.info(f"License command ran by {update.message.chat.username}") disable_notification=True,
await update.message.reply_text( )
text=t.license,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True, async def license(update: Update, context: ContextTypes.DEFAULT_TYPE):
) """Send bots license when the /license command is issued."""
log.info(f"License command ran by {update.message.chat.username}")
await update.message.reply_text(
async def status(update: Update, context: ContextTypes.DEFAULT_TYPE): text=t.license,
"""Gather status of bot and dependant services and return important status updates.""" parse_mode=telegram.constants.ParseMode.MARKDOWN,
log.warning(f"Status command ran by {update.message.chat.username}") disable_notification=True,
bot_resp_time = datetime.datetime.now(update.message.date.tzinfo) - update.message.date )
bot_status = s.status(f"It took {bot_resp_time.total_seconds()} seconds for the bot to get your message.")
async def status(update: Update, context: ContextTypes.DEFAULT_TYPE):
await update.message.reply_text( """Gather status of bot and dependant services and return important status updates."""
text=bot_status, log.warning(f"Status command ran by {update.message.chat.username}")
parse_mode=telegram.constants.ParseMode.MARKDOWN, bot_resp_time = datetime.datetime.now(update.message.date.tzinfo) - update.message.date
)
bot_status = s.status(f"It took {bot_resp_time.total_seconds()} seconds for the bot to get your message.")
async def donate(update: Update, context: ContextTypes.DEFAULT_TYPE): await update.message.reply_text(
"""Sets up donation.""" text=bot_status,
log.info(f"Donate command ran by {update.message.chat.username}") parse_mode=telegram.constants.ParseMode.MARKDOWN,
chat_id = update.message.chat_id )
if update.message.text.strip() == "/donate" or "/donate@" in update.message.text:
await update.message.reply_text( async def donate(update: Update, context: ContextTypes.DEFAULT_TYPE):
text=t.donate_text, """Sets up donation."""
parse_mode=telegram.constants.ParseMode.MARKDOWN, log.info(f"Donate command ran by {update.message.chat.username}")
disable_notification=True, chat_id = update.message.chat_id
)
amount = 1.0 if update.message.text.strip() == "/donate" or "/donate@" in update.message.text:
else: await update.message.reply_text(
amount = float(update.message.text.replace("/donate", "").replace("$", "").strip()) text=t.donate_text,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
try: disable_notification=True,
price = int(amount * 100) )
except ValueError: amount = 1.0
await update.message.reply_text(f"{amount} is not a valid donation amount or number.") else:
return amount = float(update.message.text.replace("/donate", "").replace("$", "").strip())
log.info(f"Donation amount: {price} by {update.message.chat.username}")
try:
await context.bot.send_invoice( price = int(amount * 100)
chat_id=chat_id, except ValueError:
title="Simple Stock Bot Donation", await update.message.reply_text(f"{amount} is not a valid donation amount or number.")
description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}", return
payload=f"simple-stock-bot-{chat_id}", log.info(f"Donation amount: {price} by {update.message.chat.username}")
provider_token=STRIPE_TOKEN,
currency="USD", await context.bot.send_invoice(
prices=[LabeledPrice("Donation:", price)], chat_id=chat_id,
start_parameter="", title="Simple Stock Bot Donation",
# suggested_tip_amounts=[100, 500, 1000, 2000], description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}",
photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png", payload=f"simple-stock-bot-{chat_id}",
photo_width=500, provider_token=STRIPE_TOKEN,
photo_height=500, currency="USD",
) prices=[LabeledPrice("Donation:", price)],
start_parameter="",
# suggested_tip_amounts=[100, 500, 1000, 2000],
async def precheckout_callback(update: Update, context: ContextTypes.DEFAULT_TYPE): photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png",
"""Approves donation""" photo_width=500,
log.info("precheckout_callback queried") photo_height=500,
query = update.pre_checkout_query )
await query.answer(ok=True)
# I dont think I need to check since its only donations. async def precheckout_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
# if query.invoice_payload == "simple-stock-bot": """Approves donation"""
# # answer False pre_checkout_query log.info("precheckout_callback queried")
# await query.answer(ok=True) query = update.pre_checkout_query
# else:
# await query.answer(ok=False, error_message="Something went wrong...") await query.answer(ok=True)
# I dont think I need to check since its only donations.
# if query.invoice_payload == "simple-stock-bot":
async def successful_payment_callback(update: Update, context: ContextTypes.DEFAULT_TYPE): # # answer False pre_checkout_query
"""Thanks user for donation""" # await query.answer(ok=True)
log.info("Successful payment!") # else:
await update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!") # await query.answer(ok=False, error_message="Something went wrong...")
async def symbol_detect_image(update: Update, context: ContextTypes.DEFAULT_TYPE): async def successful_payment_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
""" """Thanks user for donation"""
Makes image captions into text then passes the `update` and `context` log.info("Successful payment!")
to symbol detect so that it can reply cashtags in image captions. await update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!")
"""
try:
if update.message.caption: async def symbol_detect_image(update: Update, context: ContextTypes.DEFAULT_TYPE):
update.message.text = update.message.caption """
await symbol_detect(update, context) Makes image captions into text then passes the `update` and `context`
except AttributeError: to symbol detect so that it can reply cashtags in image captions.
return """
try:
if update.message.caption:
async def symbol_detect(update: Update, context: ContextTypes.DEFAULT_TYPE): update.message.text = update.message.caption
""" await symbol_detect(update, context)
Runs on any message that doesn't have a command and searches for cashtags, except AttributeError:
then returns the prices of any symbols found. return
"""
try:
message = update.message.text async def symbol_detect(update: Update, context: ContextTypes.DEFAULT_TYPE):
chat_id = update.message.chat_id """
if "$" in message: Runs on any message that doesn't have a command and searches for cashtags,
log.info("Looking for Symbols") then returns the prices of any symbols found.
symbols = s.find_symbols(message) """
else: try:
return message = update.message.text
except AttributeError as ex: chat_id = update.message.chat_id
log.info(ex) if "$" in message:
return symbols = s.find_symbols(message)
log.info("Looking for Symbols")
# Detect Options else:
if ("call" in message.lower()) or ("put" in message.lower()): return
log.info("Options detected") except AttributeError as ex:
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING) log.info(ex)
try: return
options_data = s.options(message, symbols) if symbols:
# Let user know bot is working
await update.message.reply_text( await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
text=generate_options_reply(options_data), log.info(f"Symbols found: {symbols}")
parse_mode=telegram.constants.ParseMode.MARKDOWN,
) for reply in s.price_reply(symbols):
return await update.message.reply_text(
except KeyError as ex: text=reply,
logging.warning(ex) parse_mode=telegram.constants.ParseMode.MARKDOWN,
pass disable_notification=True,
)
if symbols:
log.info(f"Symbols found: {symbols}")
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING) async def intra(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of intraday data for a symbol"""
for reply in s.price_reply(symbols): log.info(f"Intra command ran by {update.message.chat.username}")
await update.message.reply_text(
text=reply, message = update.message.text
parse_mode=telegram.constants.ParseMode.MARKDOWN, chat_id = update.message.chat_id
disable_notification=True,
) if message.strip().split("@")[0] == "/intra":
await update.message.reply_text(
"This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla"
def generate_options_reply(options_data: dict): )
# Header with Option Symbol and Underlying return
message_text = f"*{options_data['Option Symbol']} ({options_data['Underlying']})*\n\n"
symbols = s.find_symbols(message, trending_weight=5)
# Key details symbol = symbols[0]
details = (
f"*Expiration:* `{options_data['Expiration']}`\n" if len(symbols):
f"*Side:* `{options_data['side']}`\n" symbol = symbols[0]
f"*Strike:* `{options_data['strike']}`\n" else:
f"*First Traded:* `{options_data['First Traded']}`\n" await update.message.reply_text("No symbols or coins found.")
f"*Last Updated:* `{options_data['Last Updated']}`\n\n" return
)
message_text += details df = s.intra_reply(symbol)
if df.empty:
# Pricing info await update.message.reply_text(
pricing_info = ( text="Invalid symbol please see `/help` for usage details.",
f"*Bid:* `{options_data['bid']}` (Size: `{options_data['bidSize']}`)\n" parse_mode=telegram.constants.ParseMode.MARKDOWN,
f"*Mid:* `{options_data['mid']}`\n" disable_notification=True,
f"*Ask:* `{options_data['ask']}` (Size: `{options_data['askSize']}`)\n" )
f"*Last:* `{options_data['last']}`\n\n" return
)
message_text += pricing_info await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
# Volume and open interest buf = io.BytesIO()
volume_info = f"*Open Interest:* `{options_data['Open Interest']}`\n" f"*Volume:* `{options_data['Volume']}`\n\n" mpf.plot(
message_text += volume_info df,
type="renko",
# Greeks title=f"\n{symbol.name}",
greeks_info = ( volume="Volume" in df.keys(),
f"*IV:* `{options_data['Implied Volatility']}`\n" style="yahoo",
f"*Delta:* `{options_data['delta']}`\n" savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
f"*Gamma:* `{options_data['gamma']}`\n" )
f"*Theta:* `{options_data['theta']}`\n" buf.seek(0)
f"*Vega:* `{options_data['vega']}`\n"
f"*Rho:* `{options_data['rho']}`\n" await update.message.reply_photo(
) photo=buf,
message_text += greeks_info caption=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to"
+ f" {df.last_valid_index().strftime('%d %b at %H:%M %Z')}"
return message_text + f"\n\n{s.price_reply([symbol])[0]}",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
async def intra(update: Update, context: ContextTypes.DEFAULT_TYPE): )
"""returns a chart of intraday data for a symbol"""
log.info(f"Intra command ran by {update.message.chat.username}")
async def chart(update: Update, context: ContextTypes.DEFAULT_TYPE):
message = update.message.text """returns a chart of the past month of data for a symbol"""
chat_id = update.message.chat_id log.info(f"Chart command ran by {update.message.chat.username}")
if message.strip().split("@")[0] == "/intra": message = update.message.text
await update.message.reply_text( chat_id = update.message.chat_id
"This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla"
) if message.strip().split("@")[0] == "/chart":
return await update.message.reply_text(
"This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla"
symbols = s.find_symbols(message, trending_weight=5) )
symbol = symbols[0] return
if len(symbols): symbols = s.find_symbols(message, trending_weight=10)
symbol = symbols[0]
else: if len(symbols):
await update.message.reply_text("No symbols or coins found.") symbol = symbols[0]
return else:
await update.message.reply_text("No symbols or coins found.")
df = s.intra_reply(symbol) return
if df.empty:
await update.message.reply_text( df = s.chart_reply(symbol)
text="Invalid symbol please see `/help` for usage details.", if df.empty:
parse_mode=telegram.constants.ParseMode.MARKDOWN, await update.message.reply_text(
disable_notification=True, text="Invalid symbol please see `/help` for usage details.",
) parse_mode=telegram.constants.ParseMode.MARKDOWN,
return disable_notification=True,
)
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO) return
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
buf = io.BytesIO()
mpf.plot( buf = io.BytesIO()
df, mpf.plot(
type="renko", df,
title=f"\n{symbol.name}", type="candle",
volume="Volume" in df.keys(), title=f"\n{symbol.name}",
style="yahoo", volume="Volume" in df.keys(),
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), style="yahoo",
) savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
buf.seek(0) )
buf.seek(0)
await update.message.reply_photo(
photo=buf, await update.message.reply_photo(
caption=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to" photo=buf,
+ f" {df.last_valid_index().strftime('%d %b at %H:%M %Z')}" caption=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}"
+ f"\n\n{s.price_reply([symbol])[0]}", + f" to {df.last_valid_index().strftime('%d, %b %Y')}\n\n{s.price_reply([symbol])[0]}",
parse_mode=telegram.constants.ParseMode.MARKDOWN, parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True, disable_notification=True,
) )
async def chart(update: Update, context: ContextTypes.DEFAULT_TYPE): async def trending(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of the past month of data for a symbol""" """returns currently trending symbols and how much they've moved in the past trading day."""
log.info(f"Chart command ran by {update.message.chat.username}") log.info(f"Trending command ran by {update.message.chat.username}")
message = update.message.text chat_id = update.message.chat_id
chat_id = update.message.chat_id
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
if message.strip().split("@")[0] == "/chart":
await update.message.reply_text( trending_list = s.trending()
"This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla"
) await update.message.reply_text(
return text=trending_list,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
symbols = s.find_symbols(message, trending_weight=10) disable_notification=True,
)
if len(symbols):
symbol = symbols[0]
else: async def inline_query(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
await update.message.reply_text("No symbols or coins found.") """
return Handles inline query. Searches by looking if query is contained
in the symbol and returns matches in alphabetical order.
df = s.chart_reply(symbol) """
if df.empty:
await update.message.reply_text( if not update.inline_query.query:
text="Invalid symbol please see `/help` for usage details.", return
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True, print(f"Query: {update.inline_query.query}")
)
return ignored_queries = {"$", "$$", " ", ""}
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
if update.inline_query.query.strip() in ignored_queries:
buf = io.BytesIO() default_message = """
mpf.plot( You can type:\n@SimpleStockBot `[search]`
df, in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price.
type="candle", """
title=f"\n{symbol.name}",
volume="Volume" in df.keys(), await update.inline_query.answer(
style="yahoo", [
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), InlineQueryResultArticle(
) str(uuid4()),
buf.seek(0) title="Please enter a query. It can be a ticker or a name of a company.",
input_message_content=InputTextMessageContent(
await update.message.reply_photo( default_message, parse_mode=telegram.constants.ParseMode.MARKDOWN
photo=buf, ),
caption=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}" )
+ f" to {df.last_valid_index().strftime('%d, %b %Y')}\n\n{s.price_reply([symbol])[0]}", ]
parse_mode=telegram.constants.ParseMode.MARKDOWN, )
disable_notification=True,
) matches = s.inline_search(update.inline_query.query)
results = []
async def trending(update: Update, context: ContextTypes.DEFAULT_TYPE): for _, row in matches.iterrows():
"""returns currently trending symbols and how much they've moved in the past trading day.""" results.append(
log.info(f"Trending command ran by {update.message.chat.username}") InlineQueryResultArticle(
str(uuid4()),
chat_id = update.message.chat_id title=row["description"],
input_message_content=InputTextMessageContent(
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING) row["price_reply"], parse_mode=telegram.constants.ParseMode.MARKDOWN
),
trending_list = s.trending() )
)
await update.message.reply_text(
text=trending_list, if len(results) == 5:
parse_mode=telegram.constants.ParseMode.MARKDOWN, await update.inline_query.answer(results, cache_time=60 * 60)
disable_notification=True, log.info("Inline Command was successful")
) return
await update.inline_query.answer(results)
async def inline_query(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
""" async def rand_pick(update: Update, context: ContextTypes.DEFAULT_TYPE):
Handles inline query. Searches by looking if query is contained """For the gamblers. Returns a random symbol to buy and a sell date"""
in the symbol and returns matches in alphabetical order. log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}")
"""
await update.message.reply_text(
if not update.inline_query.query: text=s.random_pick(),
return parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
print(f"Query: {update.inline_query.query}") )
ignored_queries = {"$", "$$", " ", ""}
async def error(update: Update, context: ContextTypes.DEFAULT_TYPE):
if update.inline_query.query.strip() in ignored_queries: """Log Errors caused by Updates."""
default_message = """ log.warning('Update "%s" caused error "%s"', update, error)
You can type:\n@SimpleStockBot `[search]`
in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price. tb_list = traceback.format_exception(None, context.error, context.error.__traceback__)
""" tb_string = "".join(tb_list)
await update.inline_query.answer( err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)])
[ log.warning(f"Logging error: {err_code}")
InlineQueryResultArticle(
str(uuid4()), if update:
title="Please enter a query. It can be a ticker or a name of a company.", log.warning(
input_message_content=InputTextMessageContent( f"An exception was raised while handling an update\n"
default_message, parse_mode=telegram.constants.ParseMode.MARKDOWN f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n"
), f"\tcontext.chat_data = {str(context.chat_data)}\n"
) f"\tcontext.user_data = {str(context.user_data)}\n"
] f"\t{html.escape(tb_string)}"
) )
matches = s.inline_search(update.inline_query.query) await update.message.reply_text(
text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`",
results = [] parse_mode=telegram.constants.ParseMode.MARKDOWN,
for _, row in matches.iterrows(): )
results.append( else:
InlineQueryResultArticle( log.warning("No message to send to user.")
str(uuid4()), log.warning(tb_string)
title=row["description"],
input_message_content=InputTextMessageContent(
row["price_reply"], parse_mode=telegram.constants.ParseMode.MARKDOWN def main():
), """Start the context.bot."""
) # Create the EventHandler and pass it your bot's token.
) application = Application.builder().token(TELEGRAM_TOKEN).build()
if len(results) == 5: # on different commands - answer in Telegram
await update.inline_query.answer(results, cache_time=60 * 60) application.add_handler(CommandHandler("start", start))
log.info("Inline Command was successful") application.add_handler(CommandHandler("help", help))
return application.add_handler(CommandHandler("license", license))
await update.inline_query.answer(results) application.add_handler(CommandHandler("trending", trending))
application.add_handler(CommandHandler("random", rand_pick))
application.add_handler(CommandHandler("donate", donate))
async def rand_pick(update: Update, context: ContextTypes.DEFAULT_TYPE): application.add_handler(CommandHandler("status", status))
"""For the gamblers. Returns a random symbol to buy and a sell date""" application.add_handler(CommandHandler("inline", inline_query))
log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}")
# Charting can be slow so they run async.
await update.message.reply_text( application.add_handler(CommandHandler("intra", intra, block=False))
text=s.random_pick(), application.add_handler(CommandHandler("intraday", intra, block=False))
parse_mode=telegram.constants.ParseMode.MARKDOWN, application.add_handler(CommandHandler("day", intra, block=False))
disable_notification=True, application.add_handler(CommandHandler("chart", chart, block=False))
) application.add_handler(CommandHandler("month", chart, block=False))
# on noncommand i.e message - echo the message on Telegram
async def error(update: Update, context: ContextTypes.DEFAULT_TYPE): application.add_handler(MessageHandler(filters.TEXT, symbol_detect))
"""Log Errors caused by Updates.""" application.add_handler(MessageHandler(filters.PHOTO, symbol_detect_image))
log.warning('Update "%s" caused error "%s"', update, error)
# Inline Bot commands
tb_list = traceback.format_exception(None, context.error, context.error.__traceback__) application.add_handler(InlineQueryHandler(inline_query))
tb_string = "".join(tb_list)
# Pre-checkout handler to final check
err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)]) application.add_handler(PreCheckoutQueryHandler(precheckout_callback))
log.warning(f"Logging error: {err_code}")
# Payment success
if update: application.add_handler(MessageHandler(filters.SUCCESSFUL_PAYMENT, successful_payment_callback))
log.warning(
f"An exception was raised while handling an update\n" # log all errors
f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n" application.add_error_handler(error)
f"\tcontext.chat_data = {str(context.chat_data)}\n"
f"\tcontext.user_data = {str(context.user_data)}\n" # Start the Bot
f"\t{html.escape(tb_string)}" application.run_polling(allowed_updates=Update.ALL_TYPES)
)
await update.message.reply_text( if __name__ == "__main__":
text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`", main()
parse_mode=telegram.constants.ParseMode.MARKDOWN,
)
else:
log.warning("No message to send to user.")
log.warning(tb_string)
def main():
"""Start the context.bot."""
# Create the EventHandler and pass it your bot's token.
application = Application.builder().token(TELEGRAM_TOKEN).build()
# on different commands - answer in Telegram
application.add_handler(CommandHandler("start", start))
application.add_handler(CommandHandler("help", help))
application.add_handler(CommandHandler("license", license))
application.add_handler(CommandHandler("trending", trending))
application.add_handler(CommandHandler("random", rand_pick))
application.add_handler(CommandHandler("donate", donate))
application.add_handler(CommandHandler("status", status))
application.add_handler(CommandHandler("inline", inline_query))
# Charting can be slow so they run async.
application.add_handler(CommandHandler("intra", intra, block=False))
application.add_handler(CommandHandler("intraday", intra, block=False))
application.add_handler(CommandHandler("day", intra, block=False))
application.add_handler(CommandHandler("chart", chart, block=False))
application.add_handler(CommandHandler("month", chart, block=False))
# on noncommand i.e message - echo the message on Telegram
application.add_handler(MessageHandler(filters.TEXT, symbol_detect))
application.add_handler(MessageHandler(filters.PHOTO, symbol_detect_image))
# Inline Bot commands
application.add_handler(InlineQueryHandler(inline_query))
# Pre-checkout handler to final check
application.add_handler(PreCheckoutQueryHandler(precheckout_callback))
# Payment success
application.add_handler(MessageHandler(filters.SUCCESSFUL_PAYMENT, successful_payment_callback))
# log all errors
application.add_error_handler(error)
# Start the Bot
application.run_polling(allowed_updates=Update.ALL_TYPES)
if __name__ == "__main__":
main()
+1 -1
View File
@@ -1,2 +1,2 @@
python-telegram-bot==20.6 python-telegram-bot==20.5
-r requirements.txt -r requirements.txt
+33 -21
View File
@@ -1,21 +1,33 @@
import time import keyboard
import time
import keyboard
tests = """$$xno tests = """$$xno
$tsla /info $tsla
/intra $tsla /info $$btc
/intra $$btc /news $tsla
/chart $tsla /news $$btc
/chart $$btc /stat $tsla
/help /stat $$btc
/trending""".split("\n") /cap $tsla
/cap $$btc
print("press enter to start") /dividend $tsla
keyboard.wait("enter") /dividend $msft
/dividend $$btc
for test in tests: /intra $tsla
print(test) /intra $$btc
keyboard.write(test) /chart $tsla
time.sleep(1) /chart $$btc
keyboard.press_and_release("enter") /help
/trending""".split(
"\n"
)
print("press enter to start")
keyboard.wait("enter")
for test in tests:
print(test)
keyboard.write(test)
time.sleep(1)
keyboard.press_and_release("enter")