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8 Commits

Author SHA1 Message Date
Anson 2be80cb7ec update links 2023-10-09 06:59:11 +00:00
Anson 745e9e5717 went ham 2023-10-09 06:55:37 +00:00
Anson 0cea1a38ab Merge branch '107-move-docs-into-the-monorepo' into 'master'
Resolve "Move docs into the monorepo"

Closes #107

See merge request simple-stock-bots/simple-telegram-stock-bot!51
2023-10-09 03:31:40 +00:00
Anson 045ef09f93 Resolve "Move docs into the monorepo" 2023-10-09 03:31:40 +00:00
Anson ad4262777d Merge branch '99-inline-functionality-is-broken' into 'master'
Resolve "inline functionality is broken"

Closes #99

See merge request simple-stock-bots/simple-telegram-stock-bot!48
2023-09-07 04:51:51 +00:00
Anson 531b729b4d Resolve "inline functionality is broken" 2023-09-07 04:51:51 +00:00
Anson 10c9a5a9e4 Merge branch '101-combine-discord-and-telegram-bots-into-one-repo-and-deploy-with-docker-compose' into 'master'
Resolve "Combine Discord and Telegram bots into one repo and deploy with docker compose"

Closes #101

See merge request simple-stock-bots/simple-telegram-stock-bot!49
2023-09-03 19:01:09 +00:00
Anson 8d749774d4 Resolve "Combine Discord and Telegram bots into one repo and deploy with docker compose" 2023-09-03 19:01:09 +00:00
48 changed files with 2595 additions and 2087 deletions
+5 -20
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@@ -1,20 +1,5 @@
FROM python:3.11-buster AS builder FROM python:3.11
COPY . .
COPY requirements.txt /requirements.txt
RUN pip install --user -r requirements.txt # RUN pip install -r requirements.txt
FROM python:3.11-slim
ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local
RUN pip install --no-cache-dir black
ENV TELEGRAM=TOKEN
ENV MARKETDATA=TOKEN
COPY . .
# CMD [ "python", "./bot.py" ]
+38 -25
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@@ -1,26 +1,39 @@
// For format details, see https://aka.ms/devcontainer.json. For config options, see the README at: // For format details, see https://aka.ms/devcontainer.json. For config options, see the
// https://github.com/microsoft/vscode-dev-containers/tree/v0.191.0/containers/docker-existing-dockerfile // README at: https://github.com/devcontainers/templates/tree/main/src/python
{ {
"name": "DockerDev", "name": "Python 3",
// Sets the run context to one level up instead of the .devcontainer folder. // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
"context": "..", // "image": "mcr.microsoft.com/devcontainers/python:1-3-bookworm",
// Update the 'dockerFile' property if you aren't using the standard 'Dockerfile' filename. "build": {
"dockerFile": "Dockerfile", "dockerfile": "Dockerfile"
// Set *default* container specific settings.json values on container create. },
"settings": {}, "features": {
// Add the IDs of extensions you want installed when the container is created. "ghcr.io/devcontainers-contrib/features/black:2": {},
"extensions": [ "ghcr.io/devcontainers-contrib/features/mypy:2": {},
"ms-python.python", "ghcr.io/devcontainers-contrib/features/pylint:2": {},
"ms-azuretools.vscode-docker" "ghcr.io/devcontainers/features/docker-in-docker": {}
] },
// Use 'forwardPorts' to make a list of ports inside the container available locally. "customizations": {
// "forwardPorts": [], "vscode": {
// Uncomment the next line to run commands after the container is created - for example installing curl. "extensions": [
// "postCreateCommand": "apt-get update && apt-get install -y curl", "ms-python.python",
// Uncomment when using a ptrace-based debugger like C++, Go, and Rust "ms-python.black-formatter",
// "runArgs": [ "--cap-add=SYS_PTRACE", "--security-opt", "seccomp=unconfined" ], "ms-python.flake8",
// Uncomment to use the Docker CLI from inside the container. See https://aka.ms/vscode-remote/samples/docker-from-docker. "ms-python.vscode-pylance",
// "mounts": [ "source=/var/run/docker.sock,target=/var/run/docker.sock,type=bind" ], "ms-python.isort",
// Uncomment to connect as a non-root user if you've added one. See https://aka.ms/vscode-remote/containers/non-root. "charliermarsh.ruff"
// "remoteUser": "vscode" ]
}
},
"postCreateCommand": "pip3 install --user -r dev-reqs.txt"
// Features to add to the dev container. More info: https://containers.dev/features.
// "features": {},
// Use 'forwardPorts' to make a list of ports inside the container available locally.
// "forwardPorts": [],
// Use 'postCreateCommand' to run commands after the container is created.
// "postCreateCommand": "pip3 install --user -r requirements.txt",
// Configure tool-specific properties.
// "customizations": {},
// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
// "remoteUser": "root"
} }
+1 -1
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@@ -1,2 +1,2 @@
__pycache__ __pycache__
.env .env
+21 -5
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@@ -1,5 +1,21 @@
black: stages:
# stage: .pre - lint
image: registry.gitlab.com/pipeline-components/black:latest - deploy
script:
- black --check --verbose -- . black:
stage: lint
image: registry.gitlab.com/pipeline-components/black:latest
script:
- black --check --verbose -- .
ruff:
stage: lint
# image: registry.gitlab.com/pipeline-components/ruff:latest
image: python:3.11-slim
script:
- pip3 install ruff
- ruff --output-format gitlab .
include:
- local: /docs/.gitlab-ci.yml
-12
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@@ -1,12 +0,0 @@
{
"configurations": [
{
"name": "Telegram Bot",
"type": "python",
"request": "launch",
"program": "bot.py",
"console": "integratedTerminal",
"python": "python3.11"
}
]
}
+7 -4
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@@ -1,5 +1,8 @@
{ {
"python.formatting.provider": "black", "editor.formatOnSave": true,
"python.linting.mypyEnabled": true, "editor.formatOnPaste": true,
"python.linting.flake8Enabled": true, "editor.formatOnSaveMode": "modificationsIfAvailable",
"[python]": {
"editor.defaultFormatter": "ms-python.black-formatter",
}
} }
+21 -21
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@@ -1,21 +1,21 @@
MIT License MIT License
Copyright (c) 2019 Anson Biggs Copyright (c) 2019 Anson Biggs
Permission is hereby granted, free of charge, to any person obtaining a copy Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions: furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software. copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE. SOFTWARE.
+44 -32
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@@ -1,32 +1,44 @@
# Simple Telegram Stock Bot # Simple Stock Bots
[![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://docs.simplestockbot.com/)
- [Command Reference](https://docs.simplestockbot.com/commands/)
https://docs.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).
- Using the `/donate` [command](commands.md#donate-amount-in-usd) on Telegram.
Alternatively, you can donate on Telegram with the `/donate` [command](commands.md#donate-amount-in-usd). - [Getting in touch](contact.md) for any inquiries or suggestions.
If you have any questions get in [touch.](contact.md) ### Additional Support:
## Other Ways to Help: - Follow on [Twitter](https://twitter.com/AnsonBiggs)
- Contribute or star the project on [GitLab](https://gitlab.com/simple-stock-bots)
- Follow me on [twitter](https://twitter.com/AnsonBiggs) - Utilize referral links for self-hosting:
- Contribute to the project on [GitLab](https://gitlab.com/simple-stock-bots) or just leave a star - [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
- Using my referral links to host your own Bot - [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web)
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
- [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://docs.simplestockbot.com/hosting/)
## Contact
Reach out for bug reports, feature requests, or other inquiries:
- [Contact Page](https://docs.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 -263
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@@ -1,263 +1,269 @@
import datetime as dt import datetime as dt
import logging import logging
import os import os
from typing import Dict from typing import Dict
import pandas as pd import pandas as pd
import pytz import pytz
import requests as r import requests as r
import schedule import schedule
from common.Symbol import Stock from common.Symbol import Stock
log = logging.getLogger(__name__) log = logging.getLogger(__name__)
class MarketData: class MarketData:
""" """
Functions for finding stock market information about symbols from MarkData.app Functions for finding stock market information about symbols from MarkData.app
""" """
SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})" SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})"
charts: Dict[Stock, pd.DataFrame] = {} charts: Dict[Stock, pd.DataFrame] = {}
openTime = dt.time(hour=9, minute=30, second=0) openTime = dt.time(hour=9, minute=30, second=0)
marketTimeZone = pytz.timezone("US/Eastern") marketTimeZone = pytz.timezone("US/Eastern")
def __init__(self) -> None: def __init__(self) -> None:
"""Creates a Symbol Object """Creates a Symbol Object
Parameters Parameters
---------- ----------
MARKETDATA_TOKEN : str MARKETDATA_TOKEN : str
MarketData.app API Token MarketData.app API Token
""" """
try: try:
self.MARKETDATA_TOKEN = os.environ["MARKETDATA"] self.MARKETDATA_TOKEN = os.environ["MARKETDATA"]
if self.MARKETDATA_TOKEN == "TOKEN": if self.MARKETDATA_TOKEN == "TOKEN":
self.MARKETDATA_TOKEN = "" self.MARKETDATA_TOKEN = ""
except KeyError: except KeyError:
self.MARKETDATA_TOKEN = "" self.MARKETDATA_TOKEN = ""
log.warning("Starting without an MarketData.app Token will not allow you to get market data!") log.warning("Starting without an MarketData.app Token will not allow you to get market data!")
log.warning("Use this affiliate link so that the bot can stay free:") log.warning("Use this affiliate link so that the bot can stay free:")
log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo") log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo")
if self.MARKETDATA_TOKEN != "": if self.MARKETDATA_TOKEN != "":
schedule.every().day.do(self.clear_charts) schedule.every().day.do(self.clear_charts)
def get(self, endpoint, params: dict = {}, timeout=10) -> dict: def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
url = "https://api.marketdata.app/v1/" + endpoint url = "https://api.marketdata.app/v1/" + endpoint
# set token param if it wasn't passed. # set token param if it wasn't passed.
params["token"] = self.MARKETDATA_TOKEN params["token"] = self.MARKETDATA_TOKEN
# Undocumented query variable that ensures bot usage can be # Undocumented query variable that ensures bot usage can be
# monitored even if someone doesn't make it through an affiliate link. # monitored even if someone doesn't make it through an affiliate link.
params["application"] = "simplestockbot" params["application"] = "simplestockbot"
resp = r.get(url, params=params, timeout=timeout) resp = r.get(url, params=params, timeout=timeout)
# Make sure API returned a proper status code # Make sure API returned a proper status code
try: try:
resp.raise_for_status() resp.raise_for_status()
except r.exceptions.HTTPError as e: except r.exceptions.HTTPError as e:
logging.error(e) logging.error(e)
return {} return {}
# Make sure API returned valid JSON # Make sure API returned valid JSON
try: try:
resp_json = resp.json() resp_json = resp.json()
match resp_json["s"]: match resp_json["s"]:
case "ok": case "ok":
return resp_json return resp_json
case "no_data": case "no_data":
return resp_json return resp_json
case "error": case "error":
logging.error("MarketData Error:\n" + resp_json["errmsg"]) logging.error("MarketData Error:\n" + resp_json["errmsg"])
return {} return {}
except r.exceptions.JSONDecodeError as e: except r.exceptions.JSONDecodeError as e:
logging.error(e) logging.error(e)
return {} return {}
def clear_charts(self) -> None: def clear_charts(self) -> None:
""" """
Clears cache of chart data. Clears cache of chart data.
Charts are cached so that only 1 API call per 24 hours is needed since the Charts are cached so that only 1 API call per 24 hours is needed since the
chart data is expensive and a large download. chart data is expensive and a large download.
""" """
self.charts = {} self.charts = {}
def status(self) -> str: def status(self) -> str:
# TODO: At the moment this API is poorly documented, this function likely needs to be revisited later. # TODO: At the moment this API is poorly documented, this function likely needs to be revisited later.
try: try:
status = r.get( status = r.get(
"https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A", "https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A",
timeout=5, timeout=5,
) )
status.raise_for_status() status.raise_for_status()
except r.HTTPError: except r.HTTPError:
return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} Seconds." return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
except r.Timeout: except r.Timeout:
return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage." return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage."
statusJSON = status.json() statusJSON = status.json()
if statusJSON["status"] == "ok": if statusJSON["status"] == "ok":
return ( return (
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds." f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
) )
else: else:
return f"MarketData.app is currently reporting the following status: {statusJSON['status']}" return f"MarketData.app is currently reporting the following status: {statusJSON['status']}"
def price_reply(self, symbol: Stock) -> str: def price_reply(self, symbol: Stock) -> str:
"""Returns price movement of Stock for the last market day, or after hours. """Returns price movement of Stock for the last market day, or after hours.
Parameters Parameters
---------- ----------
symbol : Stock symbol : Stock
Returns Returns
------- -------
str str
Formatted markdown Formatted markdown
""" """
if quoteResp := self.get(f"stocks/quotes/{symbol}/"): if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
price = round(quoteResp["last"][0], 2) price = round(quoteResp["last"][0], 2)
changePercent = round(quoteResp["changepct"][0], 2)
try:
message = f"The current price of {symbol.name} is ${price} and " changePercent = round(quoteResp["changepct"][0], 2)
except TypeError:
if changePercent > 0.0: return f"The price of {symbol} is {price}"
message += f"is currently up {changePercent}% for the day."
elif changePercent < 0.0: message = f"The current price of {symbol.name} is ${price} and "
message += f"is currently down {changePercent}% for the day."
else: if changePercent > 0.0:
message += "hasn't shown any movement for the day." message += f"is currently up {changePercent}% for the day."
elif changePercent < 0.0:
return message message += f"is currently down {changePercent}% for the day."
else: else:
return f"Getting a quote for {symbol} encountered an error." message += "hasn't shown any movement for the day."
def spark_reply(self, symbol: Stock) -> str: return message
if quoteResp := self.get(f"stocks/quotes/{symbol}/"): else:
changePercent = round(quoteResp["changepct"][0], 2) return f"Getting a quote for {symbol} encountered an error."
return f"`{symbol.tag}`: {changePercent}%"
else: def spark_reply(self, symbol: Stock) -> str:
logging.warning(f"{symbol} did not have 'changepct' field.") if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
return f"`{symbol.tag}`" try:
changePercent = round(quoteResp["changepct"][0], 2)
def intra_reply(self, symbol: Stock) -> pd.DataFrame: return f"`{symbol.tag}`: {changePercent}%"
"""Returns price data for a symbol of the past month up until the previous trading days close. except TypeError:
Also caches multiple requests made in the same day. pass
Parameters return f"`{symbol.tag}`"
----------
symbol : str def intra_reply(self, symbol: Stock) -> pd.DataFrame:
Stock symbol. """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.
Returns
------- Parameters
pd.DataFrame ----------
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. symbol : str
""" Stock symbol.
schedule.run_pending()
Returns
try: -------
return self.charts[symbol.id.upper()] pd.DataFrame
except KeyError: Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
pass """
schedule.run_pending()
resolution = "15" # minutes
now = dt.datetime.now(self.marketTimeZone) try:
return self.charts[symbol.id.upper()]
if self.openTime < now.time(): except KeyError:
startTime = now.replace(hour=9, minute=30) pass
else:
startTime = now - dt.timedelta(days=1) resolution = "15" # minutes
now = dt.datetime.now(self.marketTimeZone)
if data := self.get(
f"stocks/candles/{resolution}/{symbol}", if self.openTime < now.time():
params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True}, startTime = now.replace(hour=9, minute=30)
): else:
data.pop("s") startTime = now - dt.timedelta(days=1)
df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s", utc=True) if data := self.get(
df.set_index("t", inplace=True) f"stocks/candles/{resolution}/{symbol}",
params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True},
df.rename( ):
columns={ data.pop("s")
"o": "Open", df = pd.DataFrame(data)
"h": "High", df["t"] = pd.to_datetime(df["t"], unit="s", utc=True)
"l": "Low", df.set_index("t", inplace=True)
"c": "Close",
"v": "Volume", df.rename(
}, columns={
inplace=True, "o": "Open",
) "h": "High",
"l": "Low",
self.charts[symbol.id.upper()] = df "c": "Close",
return df "v": "Volume",
},
return pd.DataFrame() inplace=True,
)
def chart_reply(self, symbol: Stock) -> pd.DataFrame:
"""Returns price data for a symbol of the past month up until the previous trading days close. self.charts[symbol.id.upper()] = df
Also caches multiple requests made in the same day. return df
Parameters return pd.DataFrame()
----------
symbol : str def chart_reply(self, symbol: Stock) -> pd.DataFrame:
Stock symbol. """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.
Returns
------- Parameters
pd.DataFrame ----------
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. symbol : str
""" Stock symbol.
schedule.run_pending()
Returns
try: -------
return self.charts[symbol.id.upper()] pd.DataFrame
except KeyError: Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
pass """
schedule.run_pending()
to_date = dt.datetime.today().strftime("%Y-%m-%d")
from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d") try:
resultion = "daily" return self.charts[symbol.id.upper()]
except KeyError:
if data := self.get( pass
f"stocks/candles/{resultion}/{symbol}",
params={ to_date = dt.datetime.today().strftime("%Y-%m-%d")
"from": from_date, from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d")
"to": to_date, resultion = "daily"
},
): if data := self.get(
data.pop("s") f"stocks/candles/{resultion}/{symbol}",
params={
df = pd.DataFrame(data) "from": from_date,
df["t"] = pd.to_datetime(df["t"], unit="s") "to": to_date,
df.set_index("t", inplace=True) },
):
df.rename( data.pop("s")
columns={
"o": "Open", df = pd.DataFrame(data)
"h": "High", df["t"] = pd.to_datetime(df["t"], unit="s")
"l": "Low", df.set_index("t", inplace=True)
"c": "Close",
"v": "Volume", df.rename(
}, columns={
inplace=True, "o": "Open",
) "h": "High",
"l": "Low",
self.charts[symbol.id.upper()] = df "c": "Close",
return df "v": "Volume",
},
return pd.DataFrame() inplace=True,
)
self.charts[symbol.id.upper()] = df
return df
return pd.DataFrame()
+50 -50
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@@ -1,50 +1,50 @@
import pandas as pd import pandas as pd
import logging import logging
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
class Stock(Symbol): class Stock(Symbol):
"""Stock Market Object. Gets data from MarketData""" """Stock Market Object. Gets data from MarketData"""
def __init__(self, symbol: str) -> None: def __init__(self, symbol: str) -> None:
self.symbol = symbol self.symbol = symbol
self.id = symbol self.id = symbol
self.name = "$" + symbol.upper() self.name = "$" + symbol.upper()
self.tag = "$" + symbol.lower() self.tag = "$" + symbol.lower()
class Coin(Symbol): class Coin(Symbol):
"""Cryptocurrency Object. Gets data from CoinGecko.""" """Cryptocurrency Object. Gets data from CoinGecko."""
def __init__(self, symbol: pd.DataFrame) -> None: def __init__(self, symbol: pd.DataFrame) -> None:
if len(symbol) > 1: if len(symbol) > 1:
logging.info(f"Crypto with shared id:\n\t{symbol.id}") logging.info(f"Crypto with shared id:\n\t{symbol.id}")
symbol = symbol.head(1) symbol = symbol.head(1)
self.symbol = symbol.symbol.values[0] self.symbol = symbol.symbol.values[0]
self.id = symbol.id.values[0] self.id = symbol.id.values[0]
self.name = symbol.name.values[0] self.name = symbol.name.values[0]
self.tag = symbol.type_id.values[0].upper() self.tag = symbol.type_id.values[0].upper()
+367 -367
View File
@@ -1,367 +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.Symbol import Coin
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: def __init__(self) -> None:
self.get_symbol_list() self.get_symbol_list()
schedule.every().day.do(self.get_symbol_list) schedule.every().day.do(self.get_symbol_list)
def get(self, endpoint, params: dict = {}, timeout=10) -> dict: def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
url = "https://api.coingecko.com/api/v3" + endpoint url = "https://api.coingecko.com/api/v3" + endpoint
resp = r.get(url, params=params, timeout=timeout) resp = r.get(url, params=params, timeout=timeout)
# Make sure API returned a proper status code # Make sure API returned a proper status code
try: try:
resp.raise_for_status() resp.raise_for_status()
except r.exceptions.HTTPError as e: except r.exceptions.HTTPError as e:
log.error(e) log.error(e)
return {} return {}
# Make sure API returned valid JSON # Make sure API returned valid JSON
try: try:
resp_json = resp.json() resp_json = resp.json()
return resp_json return resp_json
except r.exceptions.JSONDecodeError as e: except r.exceptions.JSONDecodeError as e:
log.error(e) log.error(e)
return {} return {}
def symbol_id(self, symbol) -> str: def symbol_id(self, symbol) -> str:
try: try:
return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0] return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0]
except KeyError: except KeyError:
return "" return ""
def get_symbol_list(self): def get_symbol_list(self):
raw_symbols = self.get("/coins/list") raw_symbols = self.get("/coins/list")
symbols = pd.DataFrame(data=raw_symbols) symbols = pd.DataFrame(data=raw_symbols)
# Removes all binance-peg symbols # Removes all binance-peg symbols
symbols = symbols[~symbols["id"].str.contains("binance-peg")] symbols = symbols[~symbols["id"].str.contains("binance-peg")]
symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"] symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"]
symbols = symbols[["id", "symbol", "name", "description"]] symbols = symbols[["id", "symbol", "name", "description"]]
symbols["type_id"] = "$$" + symbols["symbol"] symbols["type_id"] = "$$" + symbols["symbol"]
self.symbol_list = symbols self.symbol_list = symbols
def status(self) -> str: def status(self) -> str:
"""Checks CoinGecko /ping endpoint for API issues. """Checks CoinGecko /ping endpoint for API issues.
Returns Returns
------- -------
str str
Human readable text on status of CoinGecko API Human readable text on status of CoinGecko API
""" """
status = r.get( status = r.get(
"https://api.coingecko.com/api/v3/ping", "https://api.coingecko.com/api/v3/ping",
timeout=5, timeout=5,
) )
try: try:
status.raise_for_status() status.raise_for_status()
return ( return (
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds." f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
) )
except r.HTTPError: except r.HTTPError:
return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} Seconds." return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
def price_reply(self, coin: Coin) -> str: def price_reply(self, coin: Coin) -> str:
"""Returns current market price or after hours if its available for a given coin symbol. """Returns current market price or after hours if its available for a given coin symbol.
Parameters Parameters
---------- ----------
symbols : list symbols : list
List of coin symbols. List of coin symbols.
Returns Returns
------- -------
Dict[str, str] Dict[str, str]
Each symbol passed in is a key with its value being a human readable Each symbol passed in is a key with its value being a human readable
markdown formatted string of the symbols price and movement. markdown formatted string of the symbols price and movement.
""" """
if resp := self.get( if resp := self.get(
"/simple/price", "/simple/price",
params={ params={
"ids": coin.id, "ids": coin.id,
"vs_currencies": self.vs_currency, "vs_currencies": self.vs_currency,
"include_24hr_change": "true", "include_24hr_change": "true",
}, },
): ):
try: try:
data = resp[coin.id] data = resp[coin.id]
price = data[self.vs_currency] price = data[self.vs_currency]
change = data[self.vs_currency + "_24h_change"] change = data[self.vs_currency + "_24h_change"]
if change is None: if change is None:
change = 0 change = 0
except KeyError: except KeyError:
return f"{coin.id} returned an error." return f"{coin.id} returned an error."
message = f"The current price of {coin.name} is $**{price:,}**" message = f"The current price of {coin.name} is $**{price:,}**"
# Determine wording of change text # Determine wording of change text
if change > 0: if change > 0:
message += f", the coin is currently **up {change:.3f}%** for today" message += f", the coin is currently **up {change:.3f}%** for today"
elif change < 0: elif change < 0:
message += f", the coin is currently **down {change:.3f}%** for today" message += f", the coin is currently **down {change:.3f}%** for today"
else: else:
message += ", the coin hasn't shown any movement today." message += ", the coin hasn't shown any movement today."
else: else:
message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`" message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`"
return message return message
def intra_reply(self, symbol: Coin) -> pd.DataFrame: def intra_reply(self, symbol: Coin) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open. """Returns price data for a symbol since the last market open.
Parameters Parameters
---------- ----------
symbol : str symbol : str
Stock symbol. Stock symbol.
Returns Returns
------- -------
pd.DataFrame pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
""" """
if resp := self.get( if resp := self.get(
f"/coins/{symbol.id}/ohlc", f"/coins/{symbol.id}/ohlc",
params={"vs_currency": self.vs_currency, "days": 1}, params={"vs_currency": self.vs_currency, "days": 1},
): ):
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna() df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
df["Date"] = pd.to_datetime(df["Date"], unit="ms") df["Date"] = pd.to_datetime(df["Date"], unit="ms")
df = df.set_index("Date") df = df.set_index("Date")
return df return df
return pd.DataFrame() return pd.DataFrame()
def chart_reply(self, symbol: Coin) -> 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. """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. Also caches multiple requests made in the same day.
Parameters Parameters
---------- ----------
symbol : str symbol : str
Stock symbol. Stock symbol.
Returns Returns
------- -------
pd.DataFrame pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
""" """
if resp := self.get( if resp := self.get(
f"/coins/{symbol.id}/ohlc", f"/coins/{symbol.id}/ohlc",
params={"vs_currency": self.vs_currency, "days": 30}, params={"vs_currency": self.vs_currency, "days": 30},
): ):
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna() df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
df["Date"] = pd.to_datetime(df["Date"], unit="ms") df["Date"] = pd.to_datetime(df["Date"], unit="ms")
df = df.set_index("Date") df = df.set_index("Date")
return df return df
return pd.DataFrame() return pd.DataFrame()
def stat_reply(self, symbol: Coin) -> str: def stat_reply(self, symbol: Coin) -> str:
"""Gathers key statistics on coin. Mostly just CoinGecko scores. """Gathers key statistics on coin. Mostly just CoinGecko scores.
Parameters Parameters
---------- ----------
symbol : Coin symbol : Coin
Returns Returns
------- -------
str str
Preformatted markdown. Preformatted markdown.
""" """
if data := self.get( if data := self.get(
f"/coins/{symbol.id}", f"/coins/{symbol.id}",
params={ params={
"localization": "false", "localization": "false",
}, },
): ):
return f""" return f"""
[{data['name']}]({data['links']['homepage'][0]}) Statistics: [{data['name']}]({data['links']['homepage'][0]}) Statistics:
Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,} Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,}
Market Cap Ranking: {data.get('market_cap_rank',"Not Available")} Market Cap Ranking: {data.get('market_cap_rank',"Not Available")}
CoinGecko Scores: CoinGecko Scores:
Overall: {data.get('coingecko_score','Not Available')} Overall: {data.get('coingecko_score','Not Available')}
Development: {data.get('developer_score','Not Available')} Development: {data.get('developer_score','Not Available')}
Community: {data.get('community_score','Not Available')} Community: {data.get('community_score','Not Available')}
Public Interest: {data.get('public_interest_score','Not Available')} Public Interest: {data.get('public_interest_score','Not Available')}
""" """
else: else:
return f"{symbol.symbol} returned an error." return f"{symbol.symbol} returned an error."
def cap_reply(self, coin: Coin) -> str: def cap_reply(self, coin: Coin) -> str:
"""Gets market cap for Coin """Gets market cap for Coin
Parameters Parameters
---------- ----------
coin : Coin coin : Coin
Returns Returns
------- -------
str str
Preformatted markdown. Preformatted markdown.
""" """
if resp := self.get( if resp := self.get(
"/simple/price", "/simple/price",
params={ params={
"ids": coin.id, "ids": coin.id,
"vs_currencies": self.vs_currency, "vs_currencies": self.vs_currency,
"include_market_cap": "true", "include_market_cap": "true",
}, },
): ):
log.debug(resp) log.debug(resp)
try: try:
data = resp[coin.id] data = resp[coin.id]
price = data[self.vs_currency] price = data[self.vs_currency]
cap = data[self.vs_currency + "_market_cap"] cap = data[self.vs_currency + "_market_cap"]
except KeyError: except KeyError:
return f"{coin.id} returned an error." return f"{coin.id} returned an error."
if cap == 0: if cap == 0:
return f"The market cap for {coin.name} is not available for unknown reasons." return f"The market cap for {coin.name} is not available for unknown reasons."
message = ( message = (
f"The current price of {coin.name} is $**{price:,}** and" f"The current price of {coin.name} is $**{price:,}** and"
+ " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}" + " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}"
) )
else: else:
message = f"The Coin: {coin.name} was not found or returned and error." message = f"The Coin: {coin.name} was not found or returned and error."
return message return message
def info_reply(self, symbol: Coin) -> str: def info_reply(self, symbol: Coin) -> str:
"""Gets coin description """Gets coin description
Parameters Parameters
---------- ----------
symbol : Coin symbol : Coin
Returns Returns
------- -------
str str
Preformatted markdown. Preformatted markdown.
""" """
if data := self.get( if data := self.get(
f"/coins/{symbol.id}", f"/coins/{symbol.id}",
params={"localization": "false"}, params={"localization": "false"},
): ):
try: try:
return markdownify(data["description"]["en"]) return markdownify(data["description"]["en"])
except KeyError: except KeyError:
return f"{symbol} does not have a description available." return f"{symbol} does not have a description available."
return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist." return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
def spark_reply(self, symbol: Coin) -> str: def spark_reply(self, symbol: Coin) -> str:
change = self.get( change = self.get(
"/simple/price", "/simple/price",
params={ params={
"ids": symbol.id, "ids": symbol.id,
"vs_currencies": self.vs_currency, "vs_currencies": self.vs_currency,
"include_24hr_change": "true", "include_24hr_change": "true",
}, },
)[symbol.id]["usd_24h_change"] )[symbol.id]["usd_24h_change"]
return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%" return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%"
def trending(self) -> list[str]: def trending(self) -> list[str]:
"""Gets current coins trending on coingecko """Gets current coins trending on coingecko
Returns Returns
------- -------
list[str] list[str]
list of $$ID: NAME, CHANGE% list of $$ID: NAME, CHANGE%
""" """
coins = self.get("/search/trending") coins = self.get("/search/trending")
try: try:
trending = [] trending = []
for coin in coins["coins"]: for coin in coins["coins"]:
c = coin["item"] c = coin["item"]
sym = c["symbol"].upper() sym = c["symbol"].upper()
name = c["name"] name = c["name"]
change = self.get( change = self.get(
"/simple/price", "/simple/price",
params={ params={
"ids": c["id"], "ids": c["id"],
"vs_currencies": self.vs_currency, "vs_currencies": self.vs_currency,
"include_24hr_change": "true", "include_24hr_change": "true",
}, },
)[c["id"]]["usd_24h_change"] )[c["id"]]["usd_24h_change"]
msg = f"`$${sym}`: {name}, {change:.2f}%" msg = f"`$${sym}`: {name}, {change:.2f}%"
trending.append(msg) trending.append(msg)
except Exception as e: except Exception as e:
log.warning(e) log.warning(e)
return self.trending_cache return self.trending_cache
self.trending_cache = trending self.trending_cache = trending
return trending return trending
def batch_price(self, coins: list[Coin]) -> list[str]: def batch_price(self, coins: list[Coin]) -> list[str]:
"""Gets price of a list of coins all in one API call """Gets price of a list of coins all in one API call
Parameters Parameters
---------- ----------
coins : list[Coin] coins : list[Coin]
Returns Returns
------- -------
list[str] list[str]
returns preformatted list of strings detailing price movement of each coin passed in. returns preformatted list of strings detailing price movement of each coin passed in.
""" """
query = ",".join([c.id for c in coins]) query = ",".join([c.id for c in coins])
prices = self.get( prices = self.get(
"/simple/price", "/simple/price",
params={ params={
"ids": query, "ids": query,
"vs_currencies": self.vs_currency, "vs_currencies": self.vs_currency,
"include_24hr_change": "true", "include_24hr_change": "true",
}, },
) )
replies = [] replies = []
for coin in coins: for coin in coins:
if coin.id in prices: if coin.id in prices:
p = prices[coin.id] p = prices[coin.id]
if p.get("usd_24h_change") is None: if p.get("usd_24h_change") is None:
p["usd_24h_change"] = 0 p["usd_24h_change"] = 0
replies.append( 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." f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours."
) )
return replies return replies
+6
View File
@@ -0,0 +1,6 @@
requests==2.31.0
pandas==2.1.1
schedule==1.2.1
mplfinance==0.12.10b0
markdownify==0.11.6
cachetools==5.3.1
+395 -393
View File
@@ -1,393 +1,395 @@
"""Function that routes symbols to the correct API provider. """Function that routes symbols to the correct API provider.
""" """
import datetime import datetime
import logging import logging
import random import random
import re import re
import pandas as pd import pandas as pd
import schedule import schedule
from cachetools import TTLCache, cached from cachetools import TTLCache, cached
from common.cg_Crypto import cg_Crypto from common.cg_Crypto import cg_Crypto
from common.MarketData import MarketData from common.MarketData import MarketData
from common.Symbol import Coin, Stock, Symbol from common.Symbol import Coin, Stock, Symbol
from typing import Dict from typing import Dict
log = logging.getLogger(__name__) log = logging.getLogger(__name__)
class Router: class Router:
STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})" STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})"
CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})" CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})"
trending_count: Dict[str, float] = {} trending_count: Dict[str, float] = {}
def __init__(self): def __init__(self):
self.stock = MarketData() self.stock = MarketData()
self.crypto = cg_Crypto() 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): def trending_decay(self, decay=0.5):
"""Decays the value of each trending stock by a multiplier""" """Decays the value of each trending stock by a multiplier"""
t_copy = {} t_copy = {}
dead_keys = [] dead_keys = []
if self.trending_count: if self.trending_count:
t_copy = self.trending_count.copy() t_copy = self.trending_count.copy()
for key in t_copy.keys(): for key in t_copy.keys():
if t_copy[key] < 0.01: if t_copy[key] < 0.01:
# This just makes sure were not keeping around keys that havent been called in a very long time. # This just makes sure were not keeping around keys that havent been called in a very long time.
dead_keys.append(key) dead_keys.append(key)
else: else:
t_copy[key] = t_copy[key] * decay t_copy[key] = t_copy[key] * decay
for dead in dead_keys: for dead in dead_keys:
t_copy.pop(dead) t_copy.pop(dead)
self.trending_count = t_copy.copy() self.trending_count = t_copy.copy()
log.info("Decayed trending symbols.") log.info("Decayed trending symbols.")
def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Symbol]: def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Symbol]:
"""Finds stock tickers starting with a dollar sign, and cryptocurrencies with two dollar signs """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. in a blob of text and returns them in a list.
Parameters Parameters
---------- ----------
text : str text : str
Blob of text. Blob of text.
Returns Returns
------- -------
list[Symbol] list[Symbol]
List of stock symbols as Symbol objects List of stock symbols as Symbol objects
""" """
schedule.run_pending() schedule.run_pending()
symbols: list[Symbol] = [] symbols: list[Symbol] = []
stocks = set(re.findall(self.STOCK_REGEX, text)) stocks = set(re.findall(self.STOCK_REGEX, text))
for stock in stocks: for stock in stocks:
# 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)) symbols.append(Stock(stock))
coins = set(re.findall(self.CRYPTO_REGEX, text)) coins = set(re.findall(self.CRYPTO_REGEX, text))
for coin in coins: for coin in coins:
sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin.lower(), case=False)] sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin.lower(), case=False)]
if sym.empty: if sym.empty:
log.info(f"{coin} is not in list of coins") log.info(f"{coin} is not in list of coins")
else: else:
symbols.append(Coin(sym)) symbols.append(Coin(sym))
if symbols: if symbols:
for symbol in symbols: for symbol in symbols:
self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight
log.debug(self.trending_count) log.debug(self.trending_count)
return symbols return symbols
def status(self, bot_resp) -> str: def status(self, bot_resp) -> str:
"""Checks for any issues with APIs. """Checks for any issues with APIs.
Returns Returns
------- -------
str str
Human readable text on status of the bot and relevant APIs Human readable text on status of the bot and relevant APIs
""" """
stats = f""" stats = f"""
Bot Status: Bot Status:
{bot_resp} {bot_resp}
Stock Market Data: Stock Market Data:
{self.stock.status()} {self.stock.status()}
Cryptocurrency Data: Cryptocurrency Data:
{self.crypto.status()} {self.crypto.status()}
""" """
log.warning(stats) log.warning(stats)
return stats return stats
def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame: 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. """Searches based on the shortest symbol that contains the same string as the search.
Should be very fast compared to a fuzzy search. Should be very fast compared to a fuzzy search.
Parameters Parameters
---------- ----------
search : str search : str
String used to match against symbols. String used to match against symbols.
Returns Returns
------- -------
list[tuple[str, str]] list[tuple[str, str]]
Each tuple contains: (Symbol, Issue Name). Each tuple contains: (Symbol, Issue Name).
""" """
df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list]) # df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list])
df = self.crypto.symbol_list
df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values(
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( symbols = df.head(matches)
lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0] symbols["price_reply"] = symbols["type_id"].apply(
) lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0]
)
return symbols
return symbols
def price_reply(self, symbols: list[Symbol]) -> list[str]:
"""Returns current market price or after hours if its available for a given stock symbol. def price_reply(self, symbols: list[Symbol]) -> list[str]:
"""Returns current market price or after hours if its available for a given stock symbol.
Parameters
---------- Parameters
symbols : list ----------
List of stock symbols. symbols : list
List of stock symbols.
Returns
------- Returns
Dict[str, str] -------
Each symbol passed in is a key with its value being a human readable Dict[str, str]
markdown formatted string of the symbols price and movement. Each symbol passed in is a key with its value being a human readable
""" markdown formatted string of the symbols price and movement.
replies = [] """
replies = []
for symbol in symbols:
log.info(symbol) for symbol in symbols:
if isinstance(symbol, Stock): log.info(symbol)
replies.append(self.stock.price_reply(symbol)) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): replies.append(self.stock.price_reply(symbol))
replies.append(self.crypto.price_reply(symbol)) elif isinstance(symbol, Coin):
else: replies.append(self.crypto.price_reply(symbol))
log.info(f"{symbol} is not a Stock or Coin") else:
log.info(f"{symbol} is not a Stock or Coin")
return replies
return replies
def info_reply(self, symbols: list) -> list[str]:
"""Gets information on stock symbols. def info_reply(self, symbols: list) -> list[str]:
"""Gets information on stock symbols.
Parameters
---------- Parameters
symbols : list[str] ----------
List of stock symbols. symbols : list[str]
List of stock symbols.
Returns
------- Returns
Dict[str, str] -------
Each symbol passed in is a key with its value being a human readable formatted Dict[str, str]
string of the symbols information. Each symbol passed in is a key with its value being a human readable formatted
""" string of the symbols information.
replies = [] """
replies = []
for symbol in symbols:
if isinstance(symbol, Stock): for symbol in symbols:
replies.append(self.stock.info_reply(symbol)) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): replies.append(self.stock.info_reply(symbol))
replies.append(self.crypto.info_reply(symbol)) elif isinstance(symbol, Coin):
else: replies.append(self.crypto.info_reply(symbol))
log.debug(f"{symbol} is not a Stock or Coin") else:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
return replies
def intra_reply(self, symbol: Symbol) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open. def intra_reply(self, symbol: Symbol) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open.
Parameters
---------- Parameters
symbol : str ----------
Stock symbol. symbol : str
Stock symbol.
Returns
------- Returns
pd.DataFrame -------
Returns a timeseries dataframe with high, low, and volume data if its available. pd.DataFrame
Otherwise returns empty 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) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): return self.stock.intra_reply(symbol)
return self.crypto.intra_reply(symbol) elif isinstance(symbol, Coin):
else: return self.crypto.intra_reply(symbol)
log.debug(f"{symbol} is not a Stock or Coin") else:
return pd.DataFrame() log.debug(f"{symbol} is not a Stock or Coin")
return pd.DataFrame()
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. def chart_reply(self, symbol: Symbol) -> pd.DataFrame:
Also caches multiple requests made in the same day. """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.
Parameters
---------- Parameters
symbol : str ----------
Stock symbol. symbol : str
Stock symbol.
Returns
------- Returns
pd.DataFrame -------
Returns a timeseries dataframe with high, low, and volume data if its available. pd.DataFrame
Otherwise returns empty 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.chart_reply(symbol) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): return self.stock.chart_reply(symbol)
return self.crypto.chart_reply(symbol) elif isinstance(symbol, Coin):
else: return self.crypto.chart_reply(symbol)
log.debug(f"{symbol} is not a Stock or Coin") else:
return pd.DataFrame() log.debug(f"{symbol} is not a Stock or Coin")
return pd.DataFrame()
def stat_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets key statistics for each symbol in the list def stat_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets key statistics for each symbol in the list
Parameters
---------- Parameters
symbols : list[str] ----------
List of stock symbols symbols : list[str]
List of stock symbols
Returns
------- Returns
Dict[str, str] -------
Each symbol passed in is a key with its value being a human readable Dict[str, str]
formatted string of the symbols statistics. Each symbol passed in is a key with its value being a human readable
""" formatted string of the symbols statistics.
replies = [] """
replies = []
for symbol in symbols:
if isinstance(symbol, Stock): for symbol in symbols:
replies.append(self.stock.stat_reply(symbol)) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): replies.append(self.stock.stat_reply(symbol))
replies.append(self.crypto.stat_reply(symbol)) elif isinstance(symbol, Coin):
else: replies.append(self.crypto.stat_reply(symbol))
log.debug(f"{symbol} is not a Stock or Coin") else:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
return replies
def cap_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets market cap for each symbol in the list def cap_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets market cap for each symbol in the list
Parameters
---------- Parameters
symbols : list[str] ----------
List of stock symbols symbols : list[str]
List of stock symbols
Returns
------- Returns
Dict[str, str] -------
Each symbol passed in is a key with its value being a human readable Dict[str, str]
formatted string of the symbols market cap. Each symbol passed in is a key with its value being a human readable
""" formatted string of the symbols market cap.
replies = [] """
replies = []
for symbol in symbols:
if isinstance(symbol, Stock): for symbol in symbols:
replies.append(self.stock.cap_reply(symbol)) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): replies.append(self.stock.cap_reply(symbol))
replies.append(self.crypto.cap_reply(symbol)) elif isinstance(symbol, Coin):
else: replies.append(self.crypto.cap_reply(symbol))
log.debug(f"{symbol} is not a Stock or Coin") else:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
return replies
def spark_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets change for each symbol and returns it in a compact format def spark_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets change for each symbol and returns it in a compact format
Parameters
---------- Parameters
symbols : list[str] ----------
List of stock symbols symbols : list[str]
List of stock symbols
Returns
------- Returns
list[str] -------
List of human readable strings. list[str]
""" List of human readable strings.
replies = [] """
replies = []
for symbol in symbols:
if isinstance(symbol, Stock): for symbol in symbols:
replies.append(self.stock.spark_reply(symbol)) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): replies.append(self.stock.spark_reply(symbol))
replies.append(self.crypto.spark_reply(symbol)) elif isinstance(symbol, Coin):
else: replies.append(self.crypto.spark_reply(symbol))
log.debug(f"{symbol} is not a Stock or Coin") else:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
return replies
@cached(cache=TTLCache(maxsize=1024, ttl=600))
def trending(self) -> str: @cached(cache=TTLCache(maxsize=1024, ttl=600))
"""Checks APIs for trending symbols. def trending(self) -> str:
"""Checks APIs for trending symbols.
Returns
------- Returns
list[str] -------
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()
coins = self.crypto.trending()
reply = ""
reply = ""
log.warning(self.trending_count)
if self.trending_count: log.warning(self.trending_count)
reply += "🔥Trending on the Stock Bot:\n`" if self.trending_count:
reply += "" * len("Trending on the Stock Bot:") + "`\n" reply += "🔥Trending on the Stock Bot:\n`"
reply += "" * len("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]
log.warning(sorted_trending) sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5]
for t in sorted_trending: log.warning(sorted_trending)
reply += self.spark_reply(self.find_symbols(t))[0] + "\n" for t in sorted_trending:
reply += self.spark_reply(self.find_symbols(t))[0] + "\n"
if coins:
reply += "\n\n🦎Trending Crypto:\n`" if coins:
reply += "" * len("Trending Crypto:") + "`\n" reply += "\n\n🦎Trending on CoinGecko:\n`"
for coin in coins: reply += "" * len("Trending on CoinGecko:") + "`\n"
reply += coin + "\n" for coin in coins:
reply += coin + "\n"
if "`$GME" in reply:
reply = reply.replace("🔥", "🦍") if "`$GME" in reply:
reply = reply.replace("🔥", "🦍")
if reply:
return reply if reply:
else: return reply
log.warning("Failed to collect trending data.") else:
return "Trending data is not currently available." log.warning("Failed to collect trending data.")
return "Trending data is not currently available."
def random_pick(self) -> str:
choice = random.choice(list(self.stock.symbol_list["description"]) + 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
+10 -8
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@@ -1,8 +1,10 @@
-r telegram/requirements.txt -r common/requirements.txt
black==23.3.0 -r docs/requirements.txt
flake8==5.0.4 black==23.7.0
Flake8-pyproject==1.2.3 flake8==6.1.0
pylama==8.4.1 Flake8-pyproject==1.2.3
mypy==1.2.0 pylama==8.4.1
types-cachetools==5.3.0.5 mypy==1.5.1
types-pytz==2023.3.0.0 types-cachetools==5.3.0.6
types-pytz==2023.3.0.1
ruff==0.0.292
+59 -65
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@@ -1,65 +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-discord-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, consider supporting it by [buying me 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). 🍻
If you are interested in stock market data, or want to host your own bot, be sure to use my affiliate link so that the bot can stay free: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) 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).
Keep up with the latest news for the bot in its discord Channel: https://t.me/simplestockbotnews
**Updates**: Join the bot's discord: https://t.me/simplestockbotnews.
Full documentation on using and running your own stock bot can be found on the bots [docs.](https://docs.simplestockbot.com)
**Documentation**: All details about the bot are at [docs](https://docs.simplestockbot.com).
The bot detects _"Symbols"_ using either one `$` or two `$$` dollar signs before the symbol. One dollar sign is for a stock market ticker, while two is for a cryptocurrency coin. `/chart $$eth` would return a chart of the past month of data for Ethereum, while `/dividend $psec` returns dividend information for Prospect Capital stock.
The bot reads _"Symbols"_. Use `$` for stock tickers and `$$` for cryptocurrencies. For example:
Simply calling a symbol in any message that the bot can see will also return the price. So a message like: `I wonder if $$btc will go to the Moon now that $tsla accepts it as payment` would return the current price for both Bitcoin and Tesla. - `/chart $$eth` gives Ethereum's monthly chart.
- `/dividend $psec` shows Prospect Capital's dividend.
**Commands**
- `/donate [amount in USD]` to donate. 🎗️ Type any symbol, and the bot shows its price. Like: `Is $$btc rising since $tsla accepts it?` will give Bitcoin and Tesla prices.
- `/intra $[symbol]` Plot of the stocks movement since the last market open. 📈
- `/chart $[symbol]` Plot of the stocks movement for the past 1 month. 📊 **Commands**
- `/trending` Trending Stocks and Cryptos. 💬 - `/donate [USD amount]`: Support the bot. 🎗️
- `/help` Get some help using the bot. 🆘 - `/intra $[symbol]`: See stock's latest movement. 📈
- `/chart $[symbol]`: View a month's stock activity. 📊
**Inline Features** - `/trending`: Check trending stocks and cryptos. 💬
You can type @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. Then once you select the ticker want the bot will send a message as you in that chat with the latest stock price. Prices may be delayed by up to an hour. - `/help`: Need help? Ask here. 🆘
Market data is provided by [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) **Inline Features**
Type @SimpleStockBot `[search]` anywhere to find and get stock/crypto prices. Note: Prices might be delayed up to an hour.
If you believe the bot is not behaving properly run `/status` or [get in touch](https://docs.simplestockbot.com/contact).
""" Data from: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
donate_text = """ Issues with the bot? Use `/status` or [contact us](https://docs.simplestockbot.com/contact).
Simple Stock Bot is run entirely on donations[.](https://www.buymeacoffee.com/Anson) """
All donations go directly towards paying for servers, and market data is provided by
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord). donate_text = """
Simple Stock Bot runs purely on [donations.](https://www.buymeacoffee.com/Anson)
The easiest way to donate is to run the `/donate [amount in USD]` command with US dollars you would like to donate. Every donation supports server costs and
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) provides our data.
Example: `/donate 2` would donate 2 USD.
**How to Donate?**
An alternative way to donate is through https://www.buymeacoffee.com/Anson which requires no account and accepts Paypal or Credit card. 1. Use `/donate [amount in USD]` command.
If you have any questions see the [website](https://docs.simplestockbot.com) - E.g., `/donate 2` donates 2 USD.
2. Or, donate at [buymeacoffee](https://www.buymeacoffee.com/Anson).
""" - It's quick, doesn't need an account, and accepts Paypal or Credit card.
Questions? Visit our [website](https://docs.simplestockbot.com).
commands = """ # Not used by the bot but for updating commands with BotFather """
donate - Donate to the bot 🎗️
help - Get some help using the bot. 🆘
trending - Trending Stocks and Cryptos. 💬
intra - $[symbol] Plot since the last market open. 📈
chart - $[chart] Plot of the past month. 📊
"""
+18 -17
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@@ -1,18 +1,19 @@
FROM python:3.11-buster AS builder FROM python:3.11-buster AS builder
COPY discord/requirements.txt . COPY discord/discord-reqs.txt .
COPY common/requirements.txt .
RUN pip install --user -r requirements.txt
RUN pip install --user -r discord-reqs.txt
FROM python:3.11-slim
FROM python:3.11-slim
ENV MPLBACKEND=Agg
ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local
COPY --from=builder /root/.local /root/.local
COPY common common
COPY discord . COPY common common
COPY discord .
CMD [ "python", "./bot.py" ] CMD [ "python", "./bot.py" ]
+202 -202
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@@ -1,202 +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 nextcord.ext import commands from nextcord.ext import commands
from D_info import D_info 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.warning(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*1000:.4f}ms") + "\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):
if message.author.id == bot.user.id: if message.author.id == bot.user.id:
return return
if message.content: if message.content:
if message.content[0] == "/": if message.content[0] == "/":
await bot.process_commands(message) await bot.process_commands(message)
return return
if "$" in message.content: if "$" in message.content:
symbols = s.find_symbols(message.content) symbols = s.find_symbols(message.content)
if symbols: if symbols:
for reply in s.price_reply(symbols): for reply in s.price_reply(symbols):
await message.channel.send(reply) await message.channel.send(reply)
return return
bot.run(DISCORD_TOKEN) bot.run(DISCORD_TOKEN)
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nextcord==2.4.2
-r requirements.txt
-7
View File
@@ -1,7 +0,0 @@
nextcord==2.4.2
requests==2.25.1
pandas==2.0.0
schedule==1.0.0
mplfinance==0.12.7a5
markdownify==0.6.5
cachetools==4.2.2
+12 -12
View File
@@ -1,13 +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 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
+1
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@@ -0,0 +1 @@
.cache
+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"
]
}
+21
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@@ -0,0 +1,21 @@
MIT License
Copyright (c) 2019 Anson Biggs
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+23
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@@ -0,0 +1,23 @@
```
MIT License
Copyright (c) 2019 Anson Biggs
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```
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@@ -0,0 +1,176 @@
Symbols are used in headings to denote what platforms and symbol types a command supports.
- Telegram Only :fontawesome-brands-telegram-plane:
- Discord Only :fontawesome-brands-discord:
- Bot Commands :robot:
- Cryptocurrency Support :material-currency-btc:
- Stock Market Support :bank:
- OTC Support :dollar:
## Symbol Detection :material-currency-btc: :bank: :dollar:
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.
<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>
## `/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.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/donate
</div>
<div class="message from">
The current stock price of Tesla Inc is $664.315, the stock is
currently down -0.99%
</div>
</div>
</div>
## `/intra [symbol]` :bank: :material-currency-btc:
This command makes a chart of a stocks movement since the last market open, or the last 24 hours for cryptocurrency.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/intra $astr
</div>
<div class="message from">
<img src="/img/TgIntraChat.jpg" alt="Tesla Motors Chart" />
<p>Intraday chart for $ASTR from 06 Jul at 09:30 to 06 Jul at 15:59</p>
<p>The current stock price of Astra Space Inc - Class A is $12.47, the stock is currently down -19.39%</p>
</div>
</div>
</div>
## `/chart [symbol]` :bank: :material-currency-btc:
This command makes a chart of the last 1 month of trading data up until the day before. For example running it on May 5th creates a chart from April 5th to May 4th.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/intra $astr
</div>
<div class="message from">
<img src="/img/TgChartChat.jpg" alt="Tesla Motors Chart" />
<p>1 Month chart for Ethereum from 07, Jun 2021 to 07, Jul 2021</p>
<p>The current price of Ethereum is $2,389.62, the coin is currently up 2.485% for today</p>
</div>
</div>
</div>
## `/trending`
Gets the latest trending stocks and their change in price
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/trending
</div>
<pre class="message from">
🦍Trending on the Stock Bot:
━━━━━━━━━━━━━━━━━━━━━━━━━━
$GME: Gamestop Corporation - Class A, 5.06%
$MMAT: Meta Materials Inc, 4.77%
$$BTC: Bitcoin, -0.83%
$$ETH: Ethereum, 6.06%
$$DOGE: Binance-Peg Dogecoin, 0.14%
💵Trending Stocks:
━━━━━━━━━━━━━━━━
$BBIG: Vinco Ventures Inc, 15.44%
$GSAT: Globalstar Inc., -15.32%
$AMC: AMC Entertainment Holdings Inc - Class A, 8.77%
$ACIU: AC Immune SA, 16.31%
$PLTR: Palantir Technologies Inc - Class A, 2.25%
$AAPL: Apple Inc, -0.84%
$XELA: Exela Technologies Inc, 12.61%
$WFC: Wells Fargo & Co., -5.60%
$BAC: Bank Of America Corp., 0.22%
$AMD: Advanced Micro Devices Inc., -0.54%
🦎Trending Crypto:
━━━━━━━━━━━━━━━━
$$NFD: Feisty Doge NFT, -34.32%
$$SLP: Smooth Love Potion, -13.02%
$$PVU: Plant vs Undead Token, -1.27%
$$XED: Exeedme, 1.02%
$$SOL: Solana, -3.95%
$$BNB: Binance Coin, -0.25%
$$EWT: Energy Web Token, 17.72%
</pre>
</div>
</div>
## /help :robot:
Just a simple command to get help in app. Returns a more summarized version of this page.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/help
</div>
<div class="message from">
The current stock price of Tesla Inc is $664.315, the stock is
currently down -0.99%
</div>
</div>
</div>
## `/status` :robot:
This command is to get diagnostic information about the bot and the services it is dependant on in order to operate. Any issues should be reported to me. [Contact](contact.md)
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/status
</div>
<pre class="message from">
Bot Status:
It took 0.783369 seconds for the bot to get your message.
Stock Market Data:
marketdata.app is currently not reporting any issues with its API.
Cryptocurrency Data:
CoinGecko API responded that it was OK in 0.160962 Seconds.
</pre>
</div>
</div>
## 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
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.
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.
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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-telegram-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.
## 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.
## [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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/* https://codepen.io/RG/pen/bdfDI */
.phone {
background: none repeat scroll 0 0 #fff;
/*border-left: 1px solid #ccc;
border-right: 1px solid #ccc;*/
color: #ffffff;
font-family: sans-serif;
line-height: 20px;
width: 80%;
margin: 0 auto;
overflow-x: hidden;
position: relative;
border-radius: 10px;
margin: 50px;
}
.messages-wrapper {
position: relative;
}
.message {
margin: 10px;
padding: 15px 20px;
position: relative;
overflow-x: auto;
}
.message.to {
border-radius: 20px 0px 20px 20px;
background-color: #2095fe;
color: #fff;
margin-left: 20%;
}
.message.from {
border-radius: 20px 20px 20px 0px;
background-color: #e5e4e9;
color: #363636;
margin-right: 20%;
}
.message.to + .message.to,
.message.from + .message.from {
margin-top: -7px;
}
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site_name: Simple Stock Bot
site_url: https://simplestockbot.com
edit_uri: /simple-stock-bots/site/tree/master/docs
repo_url: https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot
repo_name: Simple Stock Bots
site_description: Simple Discord and Telegram chat bots for Stock Market Data.
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>
nav:
- Home: index.md
- Commands: commands.md
- Self-Host: host.md
- Donate: donate.md
- Contact: contact.md
theme:
name: material
language: en
features:
- navigation.instant
- navigation.tracking
- navigation.tabs
- navigation.tabs.sticky
- content.code.copy
icon:
logo: material/robot-love
palette:
- media: "(prefers-color-scheme: light)"
primary: green
scheme: default
toggle:
icon: material/lightbulb-outline
name: Switch to dark mode
- media: "(prefers-color-scheme: dark)"
primary: green
scheme: slate
toggle:
icon: material/lightbulb
name: Switch to light mode
extra:
social:
- icon: fontawesome/solid/house
link: https://simplestockbot.com/
- icon: fontawesome/brands/telegram
link: https://t.me/SimpleStockBot
name: Get the Telegram bot
- icon: fontawesome/brands/discord
link: https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot
name: Get the Discord Bot
- icon: material/chart-line-stacked
link: https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web
name: MarketData.app for stock data
extra_css:
- stylesheets/phone.css
plugins:
- search
- social
markdown_extensions:
- attr_list
- pymdownx.emoji:
emoji_index: !!python/name:materialx.emoji.twemoji
emoji_generator: !!python/name:materialx.emoji.to_svg
- admonition
- pymdownx.details
- pymdownx.superfences
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mkdocs-material==9.4.4
# Required for Social Cards
Pillow==10.0.1
CairoSVG==2.7.1
+11 -8
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@@ -1,8 +1,11 @@
[tool.black] [tool.black]
line-length = 130 line-length = 130
[tool.flake8] [tool.flake8]
max-line-length = 130 max-line-length = 130
[tool.pycodestyle] [tool.pycodestyle]
max_line_length = 130 max_line_length = 130
[tool.ruff]
line-length = 130
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FROM python:3.11-buster AS builder FROM python:3.11-buster AS builder
COPY telegram/requirements.txt . COPY telegram/telegram-reqs.txt .
COPY common/requirements.txt .
RUN pip install --user -r requirements.txt
RUN pip install --user -r telegram-reqs.txt
FROM python:3.11-slim
FROM python:3.11-slim
ENV MPLBACKEND=Agg
ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local
COPY --from=builder /root/.local /root/.local
COPY common common
COPY telegram . COPY common common
COPY telegram .
CMD [ "python", "./bot.py" ] CMD [ "python", "./bot.py" ]
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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-telegram-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 = """
Thanks for using this bot, consider supporting it 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) 🍻.
If you are interested in stock market data, or want to host your own bot, be sure to use my affiliate link so that the bot can stay free: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram) 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).
Keep up with the latest news for the bot in its Telegram Channel: https://t.me/simplestockbotnews
📢 Stay updated on the bot's Telegram: https://t.me/simplestockbotnews.
Full documentation on using and running your own stock bot can be found on the bots [docs.](https://docs.simplestockbot.com)
**Guide**: All about using and setting up the bot is in the [docs](https://docs.simplestockbot.com).
The bot detects _"Symbols"_ using either one `$` or two `$$` dollar signs before the symbol. One dollar sign is for a stock market ticker, while two is for a cryptocurrency coin. `/chart $$eth` would return a chart of the past month of data for Ethereum, while `/dividend $psec` returns dividend information for Prospect Capital stock.
The bot recognizes _"Symbols"_. `$` for stocks and `$$` for cryptos. Example:
Simply calling a symbol in any message that the bot can see will also return the price. So a message like: `I wonder if $$btc will go to the Moon now that $tsla accepts it as payment` would return the current price for both Bitcoin and Tesla. - `/chart $$eth` gets a month's Ethereum chart.
- `/dividend $psec` shows Prospect Capital's dividend info.
**Commands**
- `/donate [amount in USD]` to donate. 🎗️ Mention a symbol, and the bot reveals its price.
- `/intra $[symbol]` Plot of the stocks movement since the last market open. 📈 E.g., `What's $$btc's price since $tsla accepts it?` gives Bitcoin and Tesla prices.
- `/chart $[symbol]` Plot of the stocks movement for the past 1 month. 📊
- `/trending` Trending Stocks and Cryptos. 💬 **Commands**
- `/help` Get some help using the bot. 🆘 - `/donate [USD]`: Support the bot. 🎗️
- `/intra $[symbol]`: Today's stock activity. 📈
**Inline Features** - `/chart $[symbol]`: Past month's stock chart. 📊
You can type @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. Then once you select the ticker want the bot will send a message as you in that chat with the latest stock price. Prices may be delayed by up to an hour. - `/trending`: What's hot in stocks and cryptos. 💬
- `/help`: Bot assistance. 🆘
Market data is provided by [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram)
**Inline Features**
If you believe the bot is not behaving properly run `/status` or [get in touch](https://docs.simplestockbot.com/contact). Search with @SimpleStockBot `[query]` anywhere.
""" Pick a ticker, and the bot shares the current price in chat. Note: Prices can lag by an hour.
donate_text = """ Data thanks to [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
Simple Stock Bot is run entirely on donations[.](https://www.buymeacoffee.com/Anson)
All donations go directly towards paying for servers, and market data is provided by Bot issues? Use `/status` or [contact us](https://docs.simplestockbot.com/contact).
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
"""
The easiest way to donate is to run the `/donate [amount in USD]` command with US dollars you would like to donate.
donate_text = """
Example: `/donate 2` would donate 2 USD. Support Simple Stock Bot through [donations](https://www.buymeacoffee.com/Anson).
All funds help maintain servers, with data from
An alternative way to donate is through https://www.buymeacoffee.com/Anson which requires no account and accepts Paypal or Credit card. [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
If you have any questions see the [website](https://docs.simplestockbot.com)
**How to Donate?**
""" 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.
commands = """ # Not used by the bot but for updating commands with BotFather For questions, visit our [website](https://docs.simplestockbot.com).
donate - Donate to the bot 🎗️ """
help - Get some help using the bot. 🆘
trending - Trending Stocks and Cryptos. 💬
intra - $[symbol] Plot since the last market open. 📈 # Not used by the bot but for updating commands with BotFather
chart - $[chart] Plot of the past month. 📊 commands = """
""" donate - Donate to the bot 🎗️
help - Get some help using the bot. 🆘
trending - Trending Stocks and Cryptos. 💬
intra - $[symbol] Plot since the last market open. 📈
chart - $[chart] Plot of the past month. 📊
"""
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@@ -1,450 +1,457 @@
# 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
import telegram import telegram
from telegram import ( from telegram import (
InlineQueryResultArticle, InlineQueryResultArticle,
InputTextMessageContent, InputTextMessageContent,
LabeledPrice, LabeledPrice,
Update, Update,
) )
from telegram.ext import (
CallbackContext, from telegram.ext import (
CommandHandler, Application,
Filters, CommandHandler,
InlineQueryHandler, InlineQueryHandler,
MessageHandler, PreCheckoutQueryHandler,
PreCheckoutQueryHandler, MessageHandler,
Updater, filters,
) ContextTypes,
)
from common.symbol_router import Router
from T_info import T_info from common.symbol_router import Router
from T_info import T_info
# Enable logging
logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO) # Enable logging
log = logging.getLogger(__name__) 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
logging.getLogger("httpx").setLevel(logging.WARNING)
try:
STRIPE_TOKEN = os.environ["STRIPE"] log = logging.getLogger(__name__)
except KeyError:
STRIPE_TOKEN = "" TELEGRAM_TOKEN = os.environ["TELEGRAM"]
log.warning("Starting without a STRIPE Token will not allow you to accept Donations!")
try:
s = Router() STRIPE_TOKEN = os.environ["STRIPE"]
t = T_info() except KeyError:
STRIPE_TOKEN = ""
log.warning("Starting without a STRIPE Token will not allow you to accept Donations!")
log.info("Bot script started.")
s = Router()
t = T_info()
def start(update: Update, context: CallbackContext):
"""Send help text when the command /start is issued."""
log.info(f"Start command ran by {update.message.chat.username}") log.info("Bot script started.")
update.message.reply_text(
text=t.help_text,
parse_mode=telegram.ParseMode.MARKDOWN, async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
disable_notification=True, """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(
text=t.help_text,
def help(update: Update, context: CallbackContext): parse_mode=telegram.constants.ParseMode.MARKDOWN,
"""Send help text when the command /help is issued.""" disable_notification=True,
log.info(f"Help command ran by {update.message.chat.username}") )
update.message.reply_text(
text=t.help_text,
parse_mode=telegram.ParseMode.MARKDOWN, async def help(update: Update, context: ContextTypes.DEFAULT_TYPE):
disable_notification=True, """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(
text=t.help_text,
def license(update: Update, context: CallbackContext): parse_mode=telegram.constants.ParseMode.MARKDOWN,
"""Send bots license when the /license command is issued.""" disable_notification=True,
log.info(f"License command ran by {update.message.chat.username}") )
update.message.reply_text(
text=t.license,
parse_mode=telegram.ParseMode.MARKDOWN, async def license(update: Update, context: ContextTypes.DEFAULT_TYPE):
disable_notification=True, """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(
text=t.license,
def status(update: Update, context: CallbackContext): parse_mode=telegram.constants.ParseMode.MARKDOWN,
"""Gather status of bot and dependant services and return important status updates.""" disable_notification=True,
log.warning(f"Status command ran by {update.message.chat.username}") )
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):
"""Gather status of bot and dependant services and return important status updates."""
update.message.reply_text( log.warning(f"Status command ran by {update.message.chat.username}")
text=bot_status, bot_resp_time = datetime.datetime.now(update.message.date.tzinfo) - update.message.date
parse_mode=telegram.ParseMode.MARKDOWN,
) bot_status = s.status(f"It took {bot_resp_time.total_seconds()} seconds for the bot to get your message.")
await update.message.reply_text(
def donate(update: Update, context: CallbackContext): text=bot_status,
"""Sets up donation.""" parse_mode=telegram.constants.ParseMode.MARKDOWN,
log.info(f"Donate command ran by {update.message.chat.username}") )
chat_id = update.message.chat_id
if update.message.text.strip() == "/donate" or "/donate@" in update.message.text: async def donate(update: Update, context: ContextTypes.DEFAULT_TYPE):
update.message.reply_text( """Sets up donation."""
text=t.donate_text, log.info(f"Donate command ran by {update.message.chat.username}")
parse_mode=telegram.ParseMode.MARKDOWN, chat_id = update.message.chat_id
disable_notification=True,
) if update.message.text.strip() == "/donate" or "/donate@" in update.message.text:
amount = 1.0 await update.message.reply_text(
else: text=t.donate_text,
amount = float(update.message.text.replace("/donate", "").replace("$", "").strip()) parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
try: )
price = int(amount * 100) amount = 1.0
except ValueError: else:
update.message.reply_text(f"{amount} is not a valid donation amount or number.") amount = float(update.message.text.replace("/donate", "").replace("$", "").strip())
return
log.info(f"Donation amount: {price} by {update.message.chat.username}") try:
price = int(amount * 100)
context.bot.send_invoice( except ValueError:
chat_id=chat_id, await update.message.reply_text(f"{amount} is not a valid donation amount or number.")
title="Simple Stock Bot Donation", return
description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}", log.info(f"Donation amount: {price} by {update.message.chat.username}")
payload=f"simple-stock-bot-{chat_id}",
provider_token=STRIPE_TOKEN, await context.bot.send_invoice(
currency="USD", chat_id=chat_id,
prices=[LabeledPrice("Donation:", price)], title="Simple Stock Bot Donation",
start_parameter="", description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}",
# suggested_tip_amounts=[100, 500, 1000, 2000], payload=f"simple-stock-bot-{chat_id}",
photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png", provider_token=STRIPE_TOKEN,
photo_width=500, currency="USD",
photo_height=500, prices=[LabeledPrice("Donation:", price)],
) start_parameter="",
# suggested_tip_amounts=[100, 500, 1000, 2000],
photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png",
def precheckout_callback(update: Update, context: CallbackContext): photo_width=500,
"""Approves donation""" photo_height=500,
log.info("precheckout_callback queried") )
query = update.pre_checkout_query
query.answer(ok=True) async def precheckout_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
# I dont think I need to check since its only donations. """Approves donation"""
# if query.invoice_payload == "simple-stock-bot": log.info("precheckout_callback queried")
# # answer False pre_checkout_query query = update.pre_checkout_query
# query.answer(ok=True)
# else: await query.answer(ok=True)
# query.answer(ok=False, error_message="Something went wrong...") # I dont think I need to check since its only donations.
# if query.invoice_payload == "simple-stock-bot":
# # answer False pre_checkout_query
def successful_payment_callback(update: Update, context: CallbackContext): # await query.answer(ok=True)
"""Thanks user for donation""" # else:
log.info("Successful payment!") # await query.answer(ok=False, error_message="Something went wrong...")
update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!")
async def successful_payment_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
def symbol_detect_image(update: Update, context: CallbackContext): """Thanks user for donation"""
""" log.info("Successful payment!")
Makes image captions into text then passes the `update` and `context` await update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!")
to symbol detect so that it can reply cashtags in image captions.
"""
try: async def symbol_detect_image(update: Update, context: ContextTypes.DEFAULT_TYPE):
if update.message.caption: """
update.message.text = update.message.caption Makes image captions into text then passes the `update` and `context`
symbol_detect(update, context) to symbol detect so that it can reply cashtags in image captions.
except AttributeError: """
return try:
if update.message.caption:
update.message.text = update.message.caption
def symbol_detect(update: Update, context: CallbackContext): await symbol_detect(update, context)
""" except AttributeError:
Runs on any message that doesn't have a command and searches for cashtags, return
then returns the prices of any symbols found.
"""
try: async def symbol_detect(update: Update, context: ContextTypes.DEFAULT_TYPE):
message = update.message.text """
chat_id = update.message.chat_id Runs on any message that doesn't have a command and searches for cashtags,
if "$" in message: then returns the prices of any symbols found.
symbols = s.find_symbols(message) """
log.info("Looking for Symbols") try:
else: message = update.message.text
return chat_id = update.message.chat_id
except AttributeError as ex: if "$" in message:
log.info(ex) symbols = s.find_symbols(message)
return log.info("Looking for Symbols")
if symbols: else:
# Let user know bot is working return
context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.TYPING) except AttributeError as ex:
log.info(f"Symbols found: {symbols}") log.info(ex)
return
for reply in s.price_reply(symbols): if symbols:
update.message.reply_text( # Let user know bot is working
text=reply, await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
parse_mode=telegram.ParseMode.MARKDOWN, log.info(f"Symbols found: {symbols}")
disable_notification=True,
) for reply in s.price_reply(symbols):
await update.message.reply_text(
text=reply,
def intra(update: Update, context: CallbackContext): parse_mode=telegram.constants.ParseMode.MARKDOWN,
"""returns a chart of intraday data for a symbol""" disable_notification=True,
log.info(f"Intra command ran by {update.message.chat.username}") )
message = update.message.text
chat_id = update.message.chat_id async def intra(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of intraday data for a symbol"""
if message.strip().split("@")[0] == "/intra": log.info(f"Intra command ran by {update.message.chat.username}")
update.message.reply_text(
"This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla" message = update.message.text
) chat_id = update.message.chat_id
return
if message.strip().split("@")[0] == "/intra":
symbols = s.find_symbols(message, trending_weight=5) await update.message.reply_text(
symbol = symbols[0] "This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla"
)
if len(symbols): return
symbol = symbols[0]
else: symbols = s.find_symbols(message, trending_weight=5)
update.message.reply_text("No symbols or coins found.") symbol = symbols[0]
return
if len(symbols):
df = s.intra_reply(symbol) symbol = symbols[0]
if df.empty: else:
update.message.reply_text( await update.message.reply_text("No symbols or coins found.")
text="Invalid symbol please see `/help` for usage details.", return
parse_mode=telegram.ParseMode.MARKDOWN,
disable_notification=True, df = s.intra_reply(symbol)
) if df.empty:
return await update.message.reply_text(
text="Invalid symbol please see `/help` for usage details.",
context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.UPLOAD_PHOTO) parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
buf = io.BytesIO() )
mpf.plot( return
df,
type="renko", await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
title=f"\n{symbol.name}",
volume="Volume" in df.keys(), buf = io.BytesIO()
style="yahoo", mpf.plot(
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), df,
) type="renko",
buf.seek(0) title=f"\n{symbol.name}",
volume="Volume" in df.keys(),
update.message.reply_photo( style="yahoo",
photo=buf, savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
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')}" buf.seek(0)
+ f"\n\n{s.price_reply([symbol])[0]}",
parse_mode=telegram.ParseMode.MARKDOWN, await update.message.reply_photo(
disable_notification=True, photo=buf,
) 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')}"
+ f"\n\n{s.price_reply([symbol])[0]}",
def chart(update: Update, context: CallbackContext): parse_mode=telegram.constants.ParseMode.MARKDOWN,
"""returns a chart of the past month of data for a symbol""" disable_notification=True,
log.info(f"Chart command ran by {update.message.chat.username}") )
message = update.message.text
chat_id = update.message.chat_id async def chart(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of the past month of data for a symbol"""
if message.strip().split("@")[0] == "/chart": log.info(f"Chart command ran by {update.message.chat.username}")
update.message.reply_text(
"This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla" message = update.message.text
) chat_id = update.message.chat_id
return
if message.strip().split("@")[0] == "/chart":
symbols = s.find_symbols(message, trending_weight=10) await update.message.reply_text(
"This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla"
if len(symbols): )
symbol = symbols[0] return
else:
update.message.reply_text("No symbols or coins found.") symbols = s.find_symbols(message, trending_weight=10)
return
if len(symbols):
df = s.chart_reply(symbol) symbol = symbols[0]
if df.empty: else:
update.message.reply_text( await update.message.reply_text("No symbols or coins found.")
text="Invalid symbol please see `/help` for usage details.", return
parse_mode=telegram.ParseMode.MARKDOWN,
disable_notification=True, df = s.chart_reply(symbol)
) if df.empty:
return await update.message.reply_text(
context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.UPLOAD_PHOTO) text="Invalid symbol please see `/help` for usage details.",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
buf = io.BytesIO() disable_notification=True,
mpf.plot( )
df, return
type="candle", await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
title=f"\n{symbol.name}",
volume="Volume" in df.keys(), buf = io.BytesIO()
style="yahoo", mpf.plot(
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), df,
) type="candle",
buf.seek(0) title=f"\n{symbol.name}",
volume="Volume" in df.keys(),
update.message.reply_photo( style="yahoo",
photo=buf, savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
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]}", buf.seek(0)
parse_mode=telegram.ParseMode.MARKDOWN,
disable_notification=True, await update.message.reply_photo(
) 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]}",
def trending(update: Update, context: CallbackContext): parse_mode=telegram.constants.ParseMode.MARKDOWN,
"""returns currently trending symbols and how much they've moved in the past trading day.""" disable_notification=True,
log.info(f"Trending command ran by {update.message.chat.username}") )
chat_id = update.message.chat_id
async def trending(update: Update, context: ContextTypes.DEFAULT_TYPE):
context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.TYPING) """returns currently trending symbols and how much they've moved in the past trading day."""
log.info(f"Trending command ran by {update.message.chat.username}")
trending_list = s.trending()
chat_id = update.message.chat_id
update.message.reply_text(
text=trending_list, await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
parse_mode=telegram.ParseMode.MARKDOWN,
disable_notification=True, trending_list = s.trending()
)
await update.message.reply_text(
text=trending_list,
def inline_query(update: Update, context: CallbackContext): parse_mode=telegram.constants.ParseMode.MARKDOWN,
""" disable_notification=True,
Handles inline query. Searches by looking if query is contained )
in the symbol and returns matches in alphabetical order.
"""
# info(f"Inline command ran by {update.message.chat.username}") async def inline_query(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
log.info(f"Query: {update.inline_query.query}") """
Handles inline query. Searches by looking if query is contained
ignored_queries = {"$", "$$", " ", ""} in the symbol and returns matches in alphabetical order.
"""
if update.inline_query.query.strip() in ignored_queries:
default_message = """ if not update.inline_query.query:
You can type:\n@SimpleStockBot `[search]` return
in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price.
""" print(f"Query: {update.inline_query.query}")
update.inline_query.answer( ignored_queries = {"$", "$$", " ", ""}
[
InlineQueryResultArticle( if update.inline_query.query.strip() in ignored_queries:
str(uuid4()), default_message = """
title="Please enter a query. It can be a ticker or a name of a company.", You can type:\n@SimpleStockBot `[search]`
input_message_content=InputTextMessageContent(default_message, parse_mode=telegram.ParseMode.MARKDOWN), in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price.
) """
]
) await update.inline_query.answer(
[
matches = s.inline_search(update.inline_query.query) InlineQueryResultArticle(
str(uuid4()),
results = [] title="Please enter a query. It can be a ticker or a name of a company.",
for _, row in matches.iterrows(): input_message_content=InputTextMessageContent(
results.append( default_message, parse_mode=telegram.constants.ParseMode.MARKDOWN
InlineQueryResultArticle( ),
str(uuid4()), )
title=row["description"], ]
input_message_content=InputTextMessageContent(row["price_reply"], parse_mode=telegram.ParseMode.MARKDOWN), )
)
) matches = s.inline_search(update.inline_query.query)
if len(results) == 5: results = []
update.inline_query.answer(results, cache_time=60 * 60) for _, row in matches.iterrows():
log.info("Inline Command was successful") results.append(
return InlineQueryResultArticle(
update.inline_query.answer(results) str(uuid4()),
title=row["description"],
input_message_content=InputTextMessageContent(
def rand_pick(update: Update, context: CallbackContext): row["price_reply"], parse_mode=telegram.constants.ParseMode.MARKDOWN
"""For the gamblers. Returns a random symbol to buy and a sell date""" ),
log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}") )
)
update.message.reply_text(
text=s.random_pick(), if len(results) == 5:
parse_mode=telegram.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)
def error(update: Update, context: CallbackContext):
"""Log Errors caused by Updates.""" async def rand_pick(update: Update, context: ContextTypes.DEFAULT_TYPE):
log.warning('Update "%s" caused error "%s"', update, error) """For the gamblers. Returns a random symbol to buy and a sell date"""
log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}")
tb_list = traceback.format_exception(None, context.error, context.error.__traceback__)
tb_string = "".join(tb_list) await update.message.reply_text(
text=s.random_pick(),
err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)]) parse_mode=telegram.constants.ParseMode.MARKDOWN,
log.warning(f"Logging error: {err_code}") disable_notification=True,
)
if update:
log.warning(
f"An exception was raised while handling an update\n" async def error(update: Update, context: ContextTypes.DEFAULT_TYPE):
f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n" """Log Errors caused by Updates."""
f"\tcontext.chat_data = {str(context.chat_data)}\n" log.warning('Update "%s" caused error "%s"', update, error)
f"\tcontext.user_data = {str(context.user_data)}\n"
f"\t{html.escape(tb_string)}" tb_list = traceback.format_exception(None, context.error, context.error.__traceback__)
) tb_string = "".join(tb_list)
update.message.reply_text( err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)])
text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`", log.warning(f"Logging error: {err_code}")
parse_mode=telegram.ParseMode.MARKDOWN,
) if update:
else: log.warning(
log.warning("No message to send to user.") f"An exception was raised while handling an update\n"
log.warning(tb_string) 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"
def main(): f"\t{html.escape(tb_string)}"
"""Start the context.bot.""" )
# Create the EventHandler and pass it your bot's token.
updater = Updater(TELEGRAM_TOKEN) await update.message.reply_text(
text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`",
# Get the dispatcher to register handlers parse_mode=telegram.constants.ParseMode.MARKDOWN,
dp = updater.dispatcher )
else:
# on different commands - answer in Telegram log.warning("No message to send to user.")
dp.add_handler(CommandHandler("start", start)) log.warning(tb_string)
dp.add_handler(CommandHandler("help", help))
dp.add_handler(CommandHandler("license", license))
dp.add_handler(CommandHandler("trending", trending)) def main():
dp.add_handler(CommandHandler("random", rand_pick)) """Start the context.bot."""
dp.add_handler(CommandHandler("donate", donate)) # Create the EventHandler and pass it your bot's token.
dp.add_handler(CommandHandler("status", status)) application = Application.builder().token(TELEGRAM_TOKEN).build()
dp.add_handler(CommandHandler("inline", inline_query))
# on different commands - answer in Telegram
# Charting can be slow so they run async. application.add_handler(CommandHandler("start", start))
dp.add_handler(CommandHandler("intra", intra, run_async=True)) application.add_handler(CommandHandler("help", help))
dp.add_handler(CommandHandler("intraday", intra, run_async=True)) application.add_handler(CommandHandler("license", license))
dp.add_handler(CommandHandler("day", intra, run_async=True)) application.add_handler(CommandHandler("trending", trending))
dp.add_handler(CommandHandler("chart", chart, run_async=True)) application.add_handler(CommandHandler("random", rand_pick))
dp.add_handler(CommandHandler("month", chart, run_async=True)) application.add_handler(CommandHandler("donate", donate))
application.add_handler(CommandHandler("status", status))
# on noncommand i.e message - echo the message on Telegram application.add_handler(CommandHandler("inline", inline_query))
dp.add_handler(MessageHandler(Filters.text, symbol_detect))
dp.add_handler(MessageHandler(Filters.photo, symbol_detect_image)) # Charting can be slow so they run async.
application.add_handler(CommandHandler("intra", intra, block=False))
# Inline Bot commands application.add_handler(CommandHandler("intraday", intra, block=False))
dp.add_handler(InlineQueryHandler(inline_query)) application.add_handler(CommandHandler("day", intra, block=False))
application.add_handler(CommandHandler("chart", chart, block=False))
# Pre-checkout handler to final check application.add_handler(CommandHandler("month", chart, block=False))
dp.add_handler(PreCheckoutQueryHandler(precheckout_callback))
# on noncommand i.e message - echo the message on Telegram
# Payment success application.add_handler(MessageHandler(filters.TEXT, symbol_detect))
dp.add_handler(MessageHandler(Filters.successful_payment, successful_payment_callback)) application.add_handler(MessageHandler(filters.PHOTO, symbol_detect_image))
# log all errors # Inline Bot commands
dp.add_error_handler(error) application.add_handler(InlineQueryHandler(inline_query))
# Start the Bot # Pre-checkout handler to final check
updater.start_polling() application.add_handler(PreCheckoutQueryHandler(precheckout_callback))
updater.idle() # Payment success
application.add_handler(MessageHandler(filters.SUCCESSFUL_PAYMENT, successful_payment_callback))
if __name__ == "__main__": # log all errors
main() application.add_error_handler(error)
# Start the Bot
application.run_polling(allowed_updates=Update.ALL_TYPES)
if __name__ == "__main__":
main()
-7
View File
@@ -1,7 +0,0 @@
python-telegram-bot==13.5
requests==2.25.1
pandas==2.0.0
schedule==1.0.0
mplfinance==0.12.7a5
markdownify==0.6.5
cachetools==4.2.2
+2
View File
@@ -0,0 +1,2 @@
python-telegram-bot==20.5
-r requirements.txt
+33 -33
View File
@@ -1,33 +1,33 @@
import keyboard import keyboard
import time import time
tests = """$$xno tests = """$$xno
/info $tsla /info $tsla
/info $$btc /info $$btc
/news $tsla /news $tsla
/news $$btc /news $$btc
/stat $tsla /stat $tsla
/stat $$btc /stat $$btc
/cap $tsla /cap $tsla
/cap $$btc /cap $$btc
/dividend $tsla /dividend $tsla
/dividend $msft /dividend $msft
/dividend $$btc /dividend $$btc
/intra $tsla /intra $tsla
/intra $$btc /intra $$btc
/chart $tsla /chart $tsla
/chart $$btc /chart $$btc
/help /help
/trending""".split( /trending""".split(
"\n" "\n"
) )
print("press enter to start") print("press enter to start")
keyboard.wait("enter") keyboard.wait("enter")
for test in tests: for test in tests:
print(test) print(test)
keyboard.write(test) keyboard.write(test)
time.sleep(1) time.sleep(1)
keyboard.press_and_release("enter") keyboard.press_and_release("enter")