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20 Commits

Author SHA1 Message Date
Anson 1afd7aa3a2 black format 2023-10-16 05:50:19 +00:00
Anson e3657b0eeb implement rate limiting 2023-10-16 05:45:20 +00:00
Anson 87d9346f98 Merge branch '112-move-to-new-url' into 'master'
Update links from individual bot repos to monorepo

Closes #112

See merge request simple-stock-bots/simple-stock-bot!59
2023-10-16 04:53:23 +00:00
Anson 2fd5906f9e Update links from individual bot repos to monorepo 2023-10-16 04:53:23 +00:00
Anson 4f7a674f50 Merge branch '110-add-options' into 'master'
Resolve "Add Options from MarketData.app"

Closes #110

See merge request simple-stock-bots/simple-telegram-stock-bot!56
2023-10-13 05:37:48 +00:00
Anson 04abd15fcc Resolve "Add Options from MarketData.app" 2023-10-13 05:37:48 +00:00
Anson 10f8460cae Merge branch 'bug-smashing-extravaganza' into 'master'
Add list of stocks to bot

Closes #105

See merge request simple-stock-bots/simple-telegram-stock-bot!55
2023-10-12 02:42:53 +00:00
Anson 66f233918e Add list of stocks to bot 2023-10-12 02:42:52 +00:00
Anson 4a556597df Merge branch 'fix-admonitions' into 'master'
Fix admonitions

See merge request simple-stock-bots/simple-telegram-stock-bot!54
2023-10-10 04:28:22 +00:00
Anson ad1ec94c6b Fix admonitions 2023-10-10 04:28:22 +00:00
Anson 133675616a Merge branch '109-add-a-blog-to-the-website' into 'master'
Resolve "Add a blog to the website"

Closes #109

See merge request simple-stock-bots/simple-telegram-stock-bot!53
2023-10-10 04:19:47 +00:00
Anson 33550f1519 Resolve "Add a blog to the website" 2023-10-10 04:19:46 +00:00
Anson 937732b346 Merge branch '108-update-docs-with-homepage' into 'master'
Update documentation, merge splash page into docs.

Closes #108

See merge request simple-stock-bots/simple-telegram-stock-bot!52
2023-10-09 07:01:30 +00:00
Anson c58adc8995 Update documentation, merge splash page into docs. 2023-10-09 07:01:30 +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
55 changed files with 2947 additions and 2062 deletions
+3 -20
View File
@@ -1,20 +1,3 @@
FROM python:3.11-buster AS builder FROM python:3.11
COPY . .
COPY requirements.txt /requirements.txt
RUN pip install --user -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" ]
+40 -25
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@@ -1,26 +1,41 @@
// 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. "context": ".."
"settings": {}, },
// Add the IDs of extensions you want installed when the container is created. "features": {
"extensions": [ "ghcr.io/devcontainers-contrib/features/black:2": {},
"ms-python.python", "ghcr.io/devcontainers-contrib/features/mypy:2": {},
"ms-azuretools.vscode-docker" "ghcr.io/devcontainers-contrib/features/pylint:2": {},
] "ghcr.io/devcontainers/features/docker-in-docker": {}
// Use 'forwardPorts' to make a list of ports inside the container available locally. },
// "forwardPorts": [], "customizations": {
// Uncomment the next line to run commands after the container is created - for example installing curl. "vscode": {
// "postCreateCommand": "apt-get update && apt-get install -y curl", "extensions": [
// Uncomment when using a ptrace-based debugger like C++, Go, and Rust "ms-python.python",
// "runArgs": [ "--cap-add=SYS_PTRACE", "--security-opt", "seccomp=unconfined" ], "ms-python.black-formatter",
// 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" "ms-toolsai.jupyter",
} "esbenp.prettier-vscode"
]
}
},
"postCreateCommand": "pip3 install --user -r dev-reqs.txt && apt-get update && apt-get install -y nodejs npm && npm install"
// 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"
}
+3 -2
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@@ -1,2 +1,3 @@
__pycache__ __pycache__
.env .env
node_modules
+25 -1
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@@ -1,5 +1,29 @@
stages:
- lint
- build
- build_site
- deploy
- deploy_site
black: black:
# stage: .pre stage: lint
image: registry.gitlab.com/pipeline-components/black:latest image: registry.gitlab.com/pipeline-components/black:latest
script: script:
- black --check --verbose -- . - black --check --verbose -- .
ruff:
stage: lint
image: python:3.11-slim
script:
- pip3 install ruff
- ruff --output-format gitlab .
prettier:
stage: lint
image: node:16-slim # Use Node.js image since prettier is a Node.js tool
script:
- npm install prettier
- npx prettier --check . # Adjust the path as needed
include:
- local: /site/.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"
}
]
}
+9 -4
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@@ -1,5 +1,10 @@
{ {
"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",
"editor.formatOnSave": true,
"editor.formatOnSaveMode": "file"
}
}
+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.
+35 -19
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@@ -1,32 +1,48 @@
# 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)
[![Author](https://img.shields.io/badge/Maintainer-Anson-blue)](https://ansonbiggs.com) [![Maintainer](https://img.shields.io/badge/Maintainer-Anson-blue)](https://ansonbiggs.com)
## Docs 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.
https://docs.simplestockbot.com/ ## Documentation
## Usage Comprehensive documentation is available to help you understand the features and capabilities of Simple Stock Bots:
https://docs.simplestockbot.com/commands/ - [Official Documentation](https://simplestockbot.com/)
- [Command Reference](https://simplestockbot.com/commands/)
## Donate ## Support the Project
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). 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).
The best way to donate is through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) which accepts Paypal or Credit card. You can contribute by:
Alternatively, you can donate on Telegram with the `/donate` [command](commands.md#donate-amount-in-usd). - 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.
- [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/simple-stock-bot)
- 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
- Using my referral links to host your own Bot
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6) - [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
- [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo) - [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web)
## Hosting
Self-hosting instructions are provided for those interested in running the bot on their own servers:
- [Hosting Guide](https://simplestockbot.com/hosting/)
## Contact
Reach out for bug reports, feature requests, or other inquiries:
- [Contact Page](https://simplestockbot.com/contact/)
---
Your support in any form is immensely appreciated and ensures the continuous improvement and availability of Simple Stock Bots for everyone.
+345 -263
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@@ -1,263 +1,345 @@
import datetime as dt import datetime as dt
import logging import logging
import os import os
from typing import Dict from collections import OrderedDict
from typing import Dict
import pandas as pd
import pytz import humanize
import requests as r import pandas as pd
import schedule import pytz
import requests as r
from common.Symbol import Stock import schedule
log = logging.getLogger(__name__) from common.Symbol import Stock
log = logging.getLogger(__name__)
class MarketData:
"""
Functions for finding stock market information about symbols from MarkData.app class MarketData:
""" """
Functions for finding stock market information about symbols from MarkData.app
SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})" """
charts: Dict[Stock, pd.DataFrame] = {} SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})"
openTime = dt.time(hour=9, minute=30, second=0) symbol_list: Dict[str, Dict] = {}
marketTimeZone = pytz.timezone("US/Eastern") charts: Dict[Stock, pd.DataFrame] = {}
def __init__(self) -> None: openTime = dt.time(hour=9, minute=30, second=0)
"""Creates a Symbol Object marketTimeZone = pytz.timezone("US/Eastern")
Parameters def __init__(self) -> None:
---------- """Creates a Symbol Object
MARKETDATA_TOKEN : str
MarketData.app API Token Parameters
""" ----------
MARKETDATA_TOKEN : str
try: MarketData.app API Token
self.MARKETDATA_TOKEN = os.environ["MARKETDATA"] """
if self.MARKETDATA_TOKEN == "TOKEN": try:
self.MARKETDATA_TOKEN = "" self.MARKETDATA_TOKEN = os.environ["MARKETDATA"]
except KeyError:
self.MARKETDATA_TOKEN = "" if self.MARKETDATA_TOKEN == "TOKEN":
log.warning("Starting without an MarketData.app Token will not allow you to get market data!") self.MARKETDATA_TOKEN = ""
log.warning("Use this affiliate link so that the bot can stay free:") except KeyError:
log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo") self.MARKETDATA_TOKEN = ""
log.warning("Starting without an MarketData.app Token will not allow you to get market data!")
if self.MARKETDATA_TOKEN != "": log.warning("Use this affiliate link so that the bot can stay free:")
schedule.every().day.do(self.clear_charts) log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo")
def get(self, endpoint, params: dict = {}, timeout=10) -> dict: if self.MARKETDATA_TOKEN != "":
url = "https://api.marketdata.app/v1/" + endpoint schedule.every().day.do(self.clear_charts)
# set token param if it wasn't passed. self.get_symbol_list()
params["token"] = self.MARKETDATA_TOKEN schedule.every().day.do(self.get_symbol_list)
# Undocumented query variable that ensures bot usage can be def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
# monitored even if someone doesn't make it through an affiliate link. url = "https://api.marketdata.app/v1/" + endpoint
params["application"] = "simplestockbot"
# set token param if it wasn't passed.
resp = r.get(url, params=params, timeout=timeout) params["token"] = self.MARKETDATA_TOKEN
# Make sure API returned a proper status code # Undocumented query variable that ensures bot usage can be
try: # monitored even if someone doesn't make it through an affiliate link.
resp.raise_for_status() params["application"] = "simplestockbot"
except r.exceptions.HTTPError as e:
logging.error(e) resp = r.get(url, params=params, timeout=timeout)
return {}
# Make sure API returned a proper status code
# Make sure API returned valid JSON try:
try: resp.raise_for_status()
resp_json = resp.json() except r.exceptions.HTTPError as e:
logging.error(e)
match resp_json["s"]: return {}
case "ok":
return resp_json # Make sure API returned valid JSON
case "no_data": try:
return resp_json resp_json = resp.json()
case "error":
logging.error("MarketData Error:\n" + resp_json["errmsg"]) match resp_json["s"]:
return {} case "ok":
return resp_json
except r.exceptions.JSONDecodeError as e: case "no_data":
logging.error(e) return resp_json
case "error":
return {} logging.error("MarketData Error:\n" + resp_json["errmsg"])
return {}
def clear_charts(self) -> None:
""" except r.exceptions.JSONDecodeError as e:
Clears cache of chart data. logging.error(e)
Charts are cached so that only 1 API call per 24 hours is needed since the
chart data is expensive and a large download. return {}
"""
self.charts = {} def symbol_id(self, symbol: str) -> Dict[str, Dict]:
return self.symbol_list.get(symbol.upper(), None)
def status(self) -> str:
# TODO: At the moment this API is poorly documented, this function likely needs to be revisited later. def get_symbol_list(self):
sec_resp = r.get("https://www.sec.gov/files/company_tickers.json")
try: sec_resp.raise_for_status()
status = r.get( sec_data = sec_resp.json()
"https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A",
timeout=5, for rank, ticker_info in sec_data.items():
) self.symbol_list[ticker_info["ticker"]] = {
status.raise_for_status() "ticker": ticker_info["ticker"],
except r.HTTPError: "title": ticker_info["title"],
return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} Seconds." "mkt_cap_rank": rank,
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."
def clear_charts(self) -> None:
statusJSON = status.json() """
Clears cache of chart data.
if statusJSON["status"] == "ok": Charts are cached so that only 1 API call per 24 hours is needed since the
return ( chart data is expensive and a large download.
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds." """
) self.charts = {}
else:
return f"MarketData.app is currently reporting the following status: {statusJSON['status']}" def status(self) -> str:
# TODO: At the moment this API is poorly documented, this function likely needs to be revisited later.
def price_reply(self, symbol: Stock) -> str:
"""Returns price movement of Stock for the last market day, or after hours. try:
status = r.get(
Parameters "https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A",
---------- timeout=5,
symbol : Stock )
status.raise_for_status()
Returns except r.HTTPError:
------- return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
str except r.Timeout:
Formatted markdown 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()
if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
price = round(quoteResp["last"][0], 2) if statusJSON["status"] == "ok":
changePercent = round(quoteResp["changepct"][0], 2) return (
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
message = f"The current price of {symbol.name} is ${price} and " )
else:
if changePercent > 0.0: return f"MarketData.app is currently reporting the following status: {statusJSON['status']}"
message += f"is currently up {changePercent}% for the day."
elif changePercent < 0.0: def price_reply(self, symbol: Stock) -> str:
message += f"is currently down {changePercent}% for the day." """Returns price movement of Stock for the last market day, or after hours.
else:
message += "hasn't shown any movement for the day." Parameters
----------
return message symbol : Stock
else:
return f"Getting a quote for {symbol} encountered an error." Returns
-------
def spark_reply(self, symbol: Stock) -> str: str
if quoteResp := self.get(f"stocks/quotes/{symbol}/"): Formatted markdown
changePercent = round(quoteResp["changepct"][0], 2) """
return f"`{symbol.tag}`: {changePercent}%"
else: if quoteResp := self.get(f"stocks/quotes/{symbol.symbol}/"):
logging.warning(f"{symbol} did not have 'changepct' field.") price = round(quoteResp["last"][0], 2)
return f"`{symbol.tag}`"
try:
def intra_reply(self, symbol: Stock) -> pd.DataFrame: changePercent = round(quoteResp["changepct"][0], 2)
"""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. return f"The price of {symbol.name} is ${price}"
Parameters message = f"The current price of {symbol.name} is ${price} and "
----------
symbol : str if changePercent > 0.0:
Stock symbol. message += f"is currently up {changePercent}% for the day."
elif changePercent < 0.0:
Returns message += f"is currently down {changePercent}% for the day."
------- else:
pd.DataFrame message += "hasn't shown any movement for the day."
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
""" return message
schedule.run_pending() else:
return f"Getting a quote for {symbol} encountered an error."
try:
return self.charts[symbol.id.upper()] def spark_reply(self, symbol: Stock) -> str:
except KeyError: if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
pass try:
changePercent = round(quoteResp["changepct"][0], 2)
resolution = "15" # minutes return f"`{symbol.tag}`: {changePercent}%"
now = dt.datetime.now(self.marketTimeZone) except TypeError:
pass
if self.openTime < now.time():
startTime = now.replace(hour=9, minute=30) return f"`{symbol.tag}`"
else:
startTime = now - dt.timedelta(days=1) def intra_reply(self, symbol: Stock) -> pd.DataFrame:
"""Returns price data for a symbol of the past month up until the previous trading days close.
if data := self.get( Also caches multiple requests made in the same day.
f"stocks/candles/{resolution}/{symbol}",
params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True}, Parameters
): ----------
data.pop("s") symbol : str
df = pd.DataFrame(data) Stock symbol.
df["t"] = pd.to_datetime(df["t"], unit="s", utc=True)
df.set_index("t", inplace=True) Returns
-------
df.rename( pd.DataFrame
columns={ Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
"o": "Open", """
"h": "High", schedule.run_pending()
"l": "Low",
"c": "Close", try:
"v": "Volume", return self.charts[symbol.id.upper()]
}, except KeyError:
inplace=True, pass
)
resolution = "15" # minutes
self.charts[symbol.id.upper()] = df now = dt.datetime.now(self.marketTimeZone)
return df
if self.openTime < now.time():
return pd.DataFrame() startTime = now.replace(hour=9, minute=30)
else:
def chart_reply(self, symbol: Stock) -> pd.DataFrame: startTime = now - dt.timedelta(days=1)
"""Returns price data for a symbol of the past month up until the previous trading days close.
Also caches multiple requests made in the same day. if data := self.get(
f"stocks/candles/{resolution}/{symbol}",
Parameters params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True},
---------- ):
symbol : str data.pop("s")
Stock symbol. df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s", utc=True)
Returns df.set_index("t", inplace=True)
-------
pd.DataFrame df.rename(
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. columns={
""" "o": "Open",
schedule.run_pending() "h": "High",
"l": "Low",
try: "c": "Close",
return self.charts[symbol.id.upper()] "v": "Volume",
except KeyError: },
pass inplace=True,
)
to_date = dt.datetime.today().strftime("%Y-%m-%d")
from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d") self.charts[symbol.id.upper()] = df
resultion = "daily" return df
if data := self.get( return pd.DataFrame()
f"stocks/candles/{resultion}/{symbol}",
params={ def chart_reply(self, symbol: Stock) -> pd.DataFrame:
"from": from_date, """Returns price data for a symbol of the past month up until the previous trading days close.
"to": to_date, Also caches multiple requests made in the same day.
},
): Parameters
data.pop("s") ----------
symbol : str
df = pd.DataFrame(data) Stock symbol.
df["t"] = pd.to_datetime(df["t"], unit="s")
df.set_index("t", inplace=True) Returns
-------
df.rename( pd.DataFrame
columns={ Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
"o": "Open", """
"h": "High", schedule.run_pending()
"l": "Low",
"c": "Close", try:
"v": "Volume", return self.charts[symbol.id.upper()]
}, except KeyError:
inplace=True, pass
)
to_date = dt.datetime.today().strftime("%Y-%m-%d")
self.charts[symbol.id.upper()] = df from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d")
return df resultion = "daily"
return pd.DataFrame() if data := self.get(
f"stocks/candles/{resultion}/{symbol}",
params={
"from": from_date,
"to": to_date,
},
):
data.pop("s")
df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s")
df.set_index("t", inplace=True)
df.rename(
columns={
"o": "Open",
"h": "High",
"l": "Low",
"c": "Close",
"v": "Volume",
},
inplace=True,
)
self.charts[symbol.id.upper()] = df
return df
return pd.DataFrame()
def options_reply(self, request: str) -> str:
"""Undocumented API Usage!"""
options_data = self.get(f"options/quotes/{request}")
for key in options_data.keys():
options_data[key] = options_data[key][0]
options_data["underlying"] = "$" + options_data["underlying"]
options_data["updated"] = humanize.naturaltime(dt.datetime.now() - dt.datetime.fromtimestamp(options_data["updated"]))
options_data["expiration"] = humanize.naturaltime(
dt.datetime.now() - dt.datetime.fromtimestamp(options_data["expiration"])
)
options_data["firstTraded"] = humanize.naturaltime(
dt.datetime.now() - dt.datetime.fromtimestamp(options_data["firstTraded"])
)
rename = {
"optionSymbol": "Option Symbol",
"underlying": "Underlying",
"expiration": "Expiration",
"side": "side",
"strike": "strike",
"firstTraded": "First Traded",
"updated": "Last Updated",
"bid": "bid",
"bidSize": "bidSize",
"mid": "mid",
"ask": "ask",
"askSize": "askSize",
"last": "last",
"openInterest": "Open Interest",
"volume": "Volume",
"inTheMoney": "inTheMoney",
"intrinsicValue": "Intrinsic Value",
"extrinsicValue": "Extrinsic Value",
"underlyingPrice": "Underlying Price",
"iv": "Implied Volatility",
"delta": "delta",
"gamma": "gamma",
"theta": "theta",
"vega": "vega",
"rho": "rho",
}
options_cleaned = OrderedDict()
for old, new in rename.items():
if old in options_data:
options_cleaned[new] = options_data[old]
return options_cleaned
+52 -50
View File
@@ -1,50 +1,52 @@
import pandas as pd import logging
import logging
import pandas as pd
class Symbol:
""" class Symbol:
symbol: What the user calls it. ie tsla or btc """
id: What the api expects. ie tsla or bitcoin symbol: What the user calls it. ie tsla or btc
name: Human readable. ie Tesla or Bitcoin id: What the api expects. ie tsla or bitcoin
tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC name: Human readable. ie Tesla or Bitcoin
""" tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC
"""
currency = "usd"
pass currency = "usd"
pass
def __init__(self, symbol) -> None:
self.symbol = symbol def __init__(self, symbol) -> None:
self.id = symbol self.symbol = symbol
self.name = symbol self.id = symbol
self.tag = "$" + symbol self.name = symbol
self.tag = "$" + symbol
def __repr__(self) -> str:
return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>" def __repr__(self) -> str:
return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>"
def __str__(self) -> str:
return self.id def __str__(self) -> str:
return self.id
class Stock(Symbol):
"""Stock Market Object. Gets data from MarketData""" class Stock(Symbol):
"""Stock Market Object. Gets data from MarketData"""
def __init__(self, symbol: str) -> None:
self.symbol = symbol def __init__(self, symbol_info: dict) -> None:
self.id = symbol self.symbol = symbol_info["ticker"]
self.name = "$" + symbol.upper() self.id = symbol_info["ticker"]
self.tag = "$" + symbol.lower() self.name = symbol_info["title"]
self.tag = "$" + symbol_info["ticker"]
self.market_cap_rank = symbol_info["mkt_cap_rank"]
class Coin(Symbol):
"""Cryptocurrency Object. Gets data from CoinGecko."""
class Coin(Symbol):
def __init__(self, symbol: pd.DataFrame) -> None: """Cryptocurrency Object. Gets data from CoinGecko."""
if len(symbol) > 1:
logging.info(f"Crypto with shared id:\n\t{symbol.id}") def __init__(self, symbol: pd.DataFrame) -> None:
symbol = symbol.head(1) if len(symbol) > 1:
logging.info(f"Crypto with shared id:\n\t{symbol.id}")
self.symbol = symbol.symbol.values[0] symbol = symbol.head(1)
self.id = symbol.id.values[0]
self.name = symbol.name.values[0] self.symbol = symbol.symbol.values[0]
self.tag = symbol.type_id.values[0].upper() self.id = symbol.id.values[0]
self.name = symbol.name.values[0]
self.tag = symbol.type_id.values[0].upper()
+373 -367
View File
@@ -1,367 +1,373 @@
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
from common.utilities import rate_limited
log = logging.getLogger(__name__)
log = logging.getLogger(__name__)
class cg_Crypto:
""" class cg_Crypto:
Functions for finding crypto info """
""" Functions for finding crypto info
"""
vs_currency = "usd" # simple/supported_vs_currencies for list of options
vs_currency = "usd" # simple/supported_vs_currencies for list of options
trending_cache: List[str] = []
trending_cache: List[str] = []
def __init__(self) -> None:
self.get_symbol_list() def __init__(self) -> None:
schedule.every().day.do(self.get_symbol_list) self.get_symbol_list()
schedule.every().day.do(self.get_symbol_list)
def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
url = "https://api.coingecko.com/api/v3" + endpoint # Coingecko's rate limit is 30 requests per minute.
resp = r.get(url, params=params, timeout=timeout) # Since there are two bots sharing the same IP, we allocate half of that limit to each bot.
# Make sure API returned a proper status code # This results in a rate limit of 15 requests per minute for each bot.
try: # Given this, the rate limit effectively becomes 1 request every 4 seconds for each bot.
resp.raise_for_status() @rate_limited(0.25)
except r.exceptions.HTTPError as e: def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
log.error(e) url = "https://api.coingecko.com/api/v3" + endpoint
return {} resp = r.get(url, params=params, timeout=timeout)
# Make sure API returned a proper status code
# Make sure API returned valid JSON try:
try: resp.raise_for_status()
resp_json = resp.json() except r.exceptions.HTTPError as e:
return resp_json log.error(e)
except r.exceptions.JSONDecodeError as e: return {}
log.error(e)
return {} # Make sure API returned valid JSON
try:
def symbol_id(self, symbol) -> str: resp_json = resp.json()
try: return resp_json
return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0] except r.exceptions.JSONDecodeError as e:
except KeyError: log.error(e)
return "" return {}
def get_symbol_list(self): def symbol_id(self, symbol) -> str:
raw_symbols = self.get("/coins/list") try:
symbols = pd.DataFrame(data=raw_symbols) return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0]
except KeyError:
# Removes all binance-peg symbols return ""
symbols = symbols[~symbols["id"].str.contains("binance-peg")]
def get_symbol_list(self):
symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"] raw_symbols = self.get("/coins/list")
symbols = symbols[["id", "symbol", "name", "description"]] symbols = pd.DataFrame(data=raw_symbols)
symbols["type_id"] = "$$" + symbols["symbol"]
# Removes all binance-peg symbols
self.symbol_list = symbols symbols = symbols[~symbols["id"].str.contains("binance-peg")]
def status(self) -> str: symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"]
"""Checks CoinGecko /ping endpoint for API issues. symbols = symbols[["id", "symbol", "name", "description"]]
symbols["type_id"] = "$$" + symbols["symbol"]
Returns
------- self.symbol_list = symbols
str
Human readable text on status of CoinGecko API def status(self) -> str:
""" """Checks CoinGecko /ping endpoint for API issues.
status = r.get(
"https://api.coingecko.com/api/v3/ping", Returns
timeout=5, -------
) str
Human readable text on status of CoinGecko API
try: """
status.raise_for_status() status = r.get(
return ( "https://api.coingecko.com/api/v3/ping",
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds." timeout=5,
) )
except r.HTTPError:
return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} Seconds." try:
status.raise_for_status()
def price_reply(self, coin: Coin) -> str: return (
"""Returns current market price or after hours if its available for a given coin symbol. f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
)
Parameters except r.HTTPError:
---------- return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
symbols : list
List of coin symbols. def price_reply(self, coin: Coin) -> str:
"""Returns current market price or after hours if its available for a given coin symbol.
Returns
------- Parameters
Dict[str, str] ----------
Each symbol passed in is a key with its value being a human readable symbols : list
markdown formatted string of the symbols price and movement. List of coin symbols.
"""
Returns
if resp := self.get( -------
"/simple/price", Dict[str, str]
params={ Each symbol passed in is a key with its value being a human readable
"ids": coin.id, markdown formatted string of the symbols price and movement.
"vs_currencies": self.vs_currency, """
"include_24hr_change": "true",
}, if resp := self.get(
): "/simple/price",
try: params={
data = resp[coin.id] "ids": coin.id,
"vs_currencies": self.vs_currency,
price = data[self.vs_currency] "include_24hr_change": "true",
change = data[self.vs_currency + "_24h_change"] },
if change is None: ):
change = 0 try:
except KeyError: data = resp[coin.id]
return f"{coin.id} returned an error."
price = data[self.vs_currency]
message = f"The current price of {coin.name} is $**{price:,}**" change = data[self.vs_currency + "_24h_change"]
if change is None:
# Determine wording of change text change = 0
if change > 0: except KeyError:
message += f", the coin is currently **up {change:.3f}%** for today" return f"{coin.id} returned an error."
elif change < 0:
message += f", the coin is currently **down {change:.3f}%** for today" message = f"The current price of {coin.name} is $**{price:,}**"
else:
message += ", the coin hasn't shown any movement today." # Determine wording of change text
if change > 0:
else: message += f", the coin is currently **up {change:.3f}%** for today"
message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`" elif change < 0:
message += f", the coin is currently **down {change:.3f}%** for today"
return message else:
message += ", the coin hasn't shown any movement today."
def intra_reply(self, symbol: Coin) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open. else:
message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`"
Parameters
---------- return message
symbol : str
Stock symbol. def intra_reply(self, symbol: Coin) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open.
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.
if resp := self.get( Returns
f"/coins/{symbol.id}/ohlc", -------
params={"vs_currency": self.vs_currency, "days": 1}, pd.DataFrame
): Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna() """
df["Date"] = pd.to_datetime(df["Date"], unit="ms")
df = df.set_index("Date") if resp := self.get(
return df f"/coins/{symbol.id}/ohlc",
params={"vs_currency": self.vs_currency, "days": 1},
return pd.DataFrame() ):
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
def chart_reply(self, symbol: Coin) -> pd.DataFrame: df["Date"] = pd.to_datetime(df["Date"], unit="ms")
"""Returns price data for a symbol of the past month up until the previous trading days close. df = df.set_index("Date")
Also caches multiple requests made in the same day. return df
Parameters return pd.DataFrame()
----------
symbol : str def chart_reply(self, symbol: Coin) -> 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.
if resp := self.get( Returns
f"/coins/{symbol.id}/ohlc", -------
params={"vs_currency": self.vs_currency, "days": 30}, pd.DataFrame
): Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna() """
df["Date"] = pd.to_datetime(df["Date"], unit="ms")
df = df.set_index("Date") if resp := self.get(
return df f"/coins/{symbol.id}/ohlc",
params={"vs_currency": self.vs_currency, "days": 30},
return pd.DataFrame() ):
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
def stat_reply(self, symbol: Coin) -> str: df["Date"] = pd.to_datetime(df["Date"], unit="ms")
"""Gathers key statistics on coin. Mostly just CoinGecko scores. df = df.set_index("Date")
return df
Parameters
---------- return pd.DataFrame()
symbol : Coin
def stat_reply(self, symbol: Coin) -> str:
Returns """Gathers key statistics on coin. Mostly just CoinGecko scores.
-------
str Parameters
Preformatted markdown. ----------
""" symbol : Coin
if data := self.get( Returns
f"/coins/{symbol.id}", -------
params={ str
"localization": "false", Preformatted markdown.
}, """
):
return f""" if data := self.get(
[{data['name']}]({data['links']['homepage'][0]}) Statistics: f"/coins/{symbol.id}",
Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,} params={
Market Cap Ranking: {data.get('market_cap_rank',"Not Available")} "localization": "false",
CoinGecko Scores: },
Overall: {data.get('coingecko_score','Not Available')} ):
Development: {data.get('developer_score','Not Available')} return f"""
Community: {data.get('community_score','Not Available')} [{data['name']}]({data['links']['homepage'][0]}) Statistics:
Public Interest: {data.get('public_interest_score','Not Available')} Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,}
""" Market Cap Ranking: {data.get('market_cap_rank',"Not Available")}
else: CoinGecko Scores:
return f"{symbol.symbol} returned an error." Overall: {data.get('coingecko_score','Not Available')}
Development: {data.get('developer_score','Not Available')}
def cap_reply(self, coin: Coin) -> str: Community: {data.get('community_score','Not Available')}
"""Gets market cap for Coin Public Interest: {data.get('public_interest_score','Not Available')}
"""
Parameters else:
---------- return f"{symbol.symbol} returned an error."
coin : Coin
def cap_reply(self, coin: Coin) -> str:
Returns """Gets market cap for Coin
-------
str Parameters
Preformatted markdown. ----------
""" coin : Coin
if resp := self.get( Returns
"/simple/price", -------
params={ str
"ids": coin.id, Preformatted markdown.
"vs_currencies": self.vs_currency, """
"include_market_cap": "true",
}, if resp := self.get(
): "/simple/price",
log.debug(resp) params={
try: "ids": coin.id,
data = resp[coin.id] "vs_currencies": self.vs_currency,
"include_market_cap": "true",
price = data[self.vs_currency] },
cap = data[self.vs_currency + "_market_cap"] ):
except KeyError: log.debug(resp)
return f"{coin.id} returned an error." try:
data = resp[coin.id]
if cap == 0:
return f"The market cap for {coin.name} is not available for unknown reasons." price = data[self.vs_currency]
cap = data[self.vs_currency + "_market_cap"]
message = ( except KeyError:
f"The current price of {coin.name} is $**{price:,}** and" return f"{coin.id} returned an error."
+ " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}"
) if cap == 0:
return f"The market cap for {coin.name} is not available for unknown reasons."
else:
message = f"The Coin: {coin.name} was not found or returned and error." message = (
f"The current price of {coin.name} is $**{price:,}** and"
return message + " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}"
)
def info_reply(self, symbol: Coin) -> str:
"""Gets coin description else:
message = f"The Coin: {coin.name} was not found or returned and error."
Parameters
---------- return message
symbol : Coin
def info_reply(self, symbol: Coin) -> str:
Returns """Gets coin description
-------
str Parameters
Preformatted markdown. ----------
""" symbol : Coin
if data := self.get( Returns
f"/coins/{symbol.id}", -------
params={"localization": "false"}, str
): Preformatted markdown.
try: """
return markdownify(data["description"]["en"])
except KeyError: if data := self.get(
return f"{symbol} does not have a description available." f"/coins/{symbol.id}",
params={"localization": "false"},
return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist." ):
try:
def spark_reply(self, symbol: Coin) -> str: return markdownify(data["description"]["en"])
change = self.get( except KeyError:
"/simple/price", return f"{symbol} does not have a description available."
params={
"ids": symbol.id, return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
"vs_currencies": self.vs_currency,
"include_24hr_change": "true", def spark_reply(self, symbol: Coin) -> str:
}, change = self.get(
)[symbol.id]["usd_24h_change"] "/simple/price",
params={
return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%" "ids": symbol.id,
"vs_currencies": self.vs_currency,
def trending(self) -> list[str]: "include_24hr_change": "true",
"""Gets current coins trending on coingecko },
)[symbol.id]["usd_24h_change"]
Returns
------- return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%"
list[str]
list of $$ID: NAME, CHANGE% def trending(self) -> list[str]:
""" """Gets current coins trending on coingecko
coins = self.get("/search/trending") Returns
try: -------
trending = [] list[str]
for coin in coins["coins"]: list of $$ID: NAME, CHANGE%
c = coin["item"] """
sym = c["symbol"].upper() coins = self.get("/search/trending")
name = c["name"] try:
change = self.get( trending = []
"/simple/price", for coin in coins["coins"]:
params={ c = coin["item"]
"ids": c["id"],
"vs_currencies": self.vs_currency, sym = c["symbol"].upper()
"include_24hr_change": "true", name = c["name"]
}, change = self.get(
)[c["id"]]["usd_24h_change"] "/simple/price",
params={
msg = f"`$${sym}`: {name}, {change:.2f}%" "ids": c["id"],
"vs_currencies": self.vs_currency,
trending.append(msg) "include_24hr_change": "true",
},
except Exception as e: )[c["id"]]["usd_24h_change"]
log.warning(e)
return self.trending_cache msg = f"`$${sym}`: {name}, {change:.2f}%"
self.trending_cache = trending trending.append(msg)
return trending
except Exception as e:
def batch_price(self, coins: list[Coin]) -> list[str]: log.warning(e)
"""Gets price of a list of coins all in one API call return self.trending_cache
Parameters self.trending_cache = trending
---------- return trending
coins : list[Coin]
def batch_price(self, coins: list[Coin]) -> list[str]:
Returns """Gets price of a list of coins all in one API call
-------
list[str] Parameters
returns preformatted list of strings detailing price movement of each coin passed in. ----------
""" coins : list[Coin]
query = ",".join([c.id for c in coins])
Returns
prices = self.get( -------
"/simple/price", list[str]
params={ returns preformatted list of strings detailing price movement of each coin passed in.
"ids": query, """
"vs_currencies": self.vs_currency, query = ",".join([c.id for c in coins])
"include_24hr_change": "true",
}, prices = self.get(
) "/simple/price",
params={
replies = [] "ids": query,
for coin in coins: "vs_currencies": self.vs_currency,
if coin.id in prices: "include_24hr_change": "true",
p = prices[coin.id] },
)
if p.get("usd_24h_change") is None:
p["usd_24h_change"] = 0 replies = []
for coin in coins:
replies.append( if coin.id in prices:
f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours." p = prices[coin.id]
)
if p.get("usd_24h_change") is None:
return replies p["usd_24h_change"] = 0
replies.append(
f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours."
)
return replies
+8
View File
@@ -0,0 +1,8 @@
cachetools==5.3.1
humanize==4.8.0
markdownify==0.11.6
mplfinance==0.12.10b0
pandas==2.1.1
requests==2.31.0
rush==2021.4.0
schedule==1.2.1
+407 -393
View File
@@ -1,393 +1,407 @@
"""Function that routes symbols to the correct API provider. """Function that routes symbols to the correct API provider.
""" """
import datetime import datetime
import logging import logging
import random import random
import re import re
from typing import Dict
import pandas as pd
import schedule import pandas as pd
from cachetools import TTLCache, cached import schedule
from cachetools import TTLCache, cached
from common.cg_Crypto import cg_Crypto
from common.MarketData import MarketData from common.cg_Crypto import cg_Crypto
from common.Symbol import Coin, Stock, Symbol from common.MarketData import MarketData
from common.Symbol import Coin, Stock, Symbol
from typing import Dict
log = logging.getLogger(__name__)
log = logging.getLogger(__name__)
class Router:
class Router: STOCK_REGEX = "(?:^|[^\\$])\\$([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: # Prune Keys
# 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 | Coin]:
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] = [] stock_matches = set(re.findall(self.STOCK_REGEX, text))
stocks = set(re.findall(self.STOCK_REGEX, text)) coin_matches = set(re.findall(self.CRYPTO_REGEX, text))
for stock in stocks:
# Market data lacks tools to check if a symbol is valid. for stock_match in stock_matches:
symbols.append(Stock(stock)) # Market data lacks tools to check if a symbol is valid.
if stock_info := self.stock.symbol_id(stock_match):
coins = set(re.findall(self.CRYPTO_REGEX, text)) symbols.append(Stock(stock_info))
for coin in coins: else:
sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin.lower(), case=False)] log.info(f"{stock_match} is not in list of stocks")
if sym.empty:
log.info(f"{coin} is not in list of coins") for coin_match in coin_matches:
else: sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin_match.lower(), case=False)]
symbols.append(Coin(sym)) if sym.empty:
if symbols: log.info(f"{coin_match} is not in list of coins")
for symbol in symbols: else:
self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight symbols.append(Coin(sym))
log.debug(self.trending_count) if symbols:
for symbol in symbols:
return symbols self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight
log.debug(self.trending_count)
def status(self, bot_resp) -> str:
"""Checks for any issues with APIs. return symbols
Returns def status(self, bot_resp) -> str:
------- """Checks for any issues with APIs.
str
Human readable text on status of the bot and relevant APIs Returns
""" -------
str
stats = f""" Human readable text on status of the bot and relevant APIs
Bot Status: """
{bot_resp}
stats = f"""
Stock Market Data: Bot Status:
{self.stock.status()} {bot_resp}
Cryptocurrency Data: Stock Market Data:
{self.crypto.status()} {self.stock.status()}
"""
Cryptocurrency Data:
log.warning(stats) {self.crypto.status()}
"""
return stats
log.warning(stats)
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. return stats
Should be very fast compared to a fuzzy search.
def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame:
Parameters """Searches based on the shortest symbol that contains the same string as the search.
---------- Should be very fast compared to a fuzzy search.
search : str
String used to match against symbols. Parameters
----------
Returns search : str
------- String used to match against symbols.
list[tuple[str, str]]
Each tuple contains: (Symbol, Issue Name). Returns
""" -------
list[tuple[str, str]]
df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list]) Each tuple contains: (Symbol, Issue Name).
"""
df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values(
by="type_id", key=lambda x: x.str.len() # df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list])
) df = self.crypto.symbol_list
symbols = df.head(matches) df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values(
symbols["price_reply"] = symbols["type_id"].apply( by="type_id", key=lambda x: x.str.len()
lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0] )
)
symbols = df.head(matches)
return symbols symbols["price_reply"] = symbols["type_id"].apply(
lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0]
def price_reply(self, symbols: list[Symbol]) -> list[str]: )
"""Returns current market price or after hours if its available for a given stock symbol.
return symbols
Parameters
---------- def price_reply(self, symbols: list[Symbol]) -> list[str]:
symbols : list """Returns current market price or after hours if its available for a given stock symbol.
List of stock symbols.
Parameters
Returns ----------
------- symbols : list
Dict[str, str] List of stock symbols.
Each symbol passed in is a key with its value being a human readable
markdown formatted string of the symbols price and movement. Returns
""" -------
replies = [] Dict[str, str]
Each symbol passed in is a key with its value being a human readable
for symbol in symbols: markdown formatted string of the symbols price and movement.
log.info(symbol) """
if isinstance(symbol, Stock): replies = []
replies.append(self.stock.price_reply(symbol))
elif isinstance(symbol, Coin): for symbol in symbols:
replies.append(self.crypto.price_reply(symbol)) log.info(symbol)
else: if isinstance(symbol, Stock):
log.info(f"{symbol} is not a Stock or Coin") replies.append(self.stock.price_reply(symbol))
elif isinstance(symbol, Coin):
return replies replies.append(self.crypto.price_reply(symbol))
else:
def info_reply(self, symbols: list) -> list[str]: log.info(f"{symbol} is not a Stock or Coin")
"""Gets information on stock symbols.
return replies
Parameters
---------- def info_reply(self, symbols: list) -> list[str]:
symbols : list[str] """Gets information on stock symbols.
List of stock symbols.
Parameters
Returns ----------
------- symbols : list[str]
Dict[str, str] List of stock symbols.
Each symbol passed in is a key with its value being a human readable formatted
string of the symbols information. Returns
""" -------
replies = [] Dict[str, str]
Each symbol passed in is a key with its value being a human readable formatted
for symbol in symbols: string of the symbols information.
if isinstance(symbol, Stock): """
replies.append(self.stock.info_reply(symbol)) replies = []
elif isinstance(symbol, Coin):
replies.append(self.crypto.info_reply(symbol)) for symbol in symbols:
else: if isinstance(symbol, Stock):
log.debug(f"{symbol} is not a Stock or Coin") replies.append(self.stock.info_reply(symbol))
elif isinstance(symbol, Coin):
return replies replies.append(self.crypto.info_reply(symbol))
else:
def intra_reply(self, symbol: Symbol) -> pd.DataFrame: log.debug(f"{symbol} is not a Stock or Coin")
"""Returns price data for a symbol since the last market open.
return replies
Parameters
---------- def intra_reply(self, symbol: Symbol) -> pd.DataFrame:
symbol : str """Returns price data for a symbol since the last market open.
Stock symbol.
Parameters
Returns ----------
------- symbol : str
pd.DataFrame Stock symbol.
Returns a timeseries dataframe with high, low, and volume data if its available.
Otherwise returns empty pd.DataFrame. Returns
""" -------
pd.DataFrame
if isinstance(symbol, Stock): Returns a timeseries dataframe with high, low, and volume data if its available.
return self.stock.intra_reply(symbol) Otherwise returns empty pd.DataFrame.
elif isinstance(symbol, Coin): """
return self.crypto.intra_reply(symbol)
else: if isinstance(symbol, Stock):
log.debug(f"{symbol} is not a Stock or Coin") return self.stock.intra_reply(symbol)
return pd.DataFrame() elif isinstance(symbol, Coin):
return self.crypto.intra_reply(symbol)
def chart_reply(self, symbol: Symbol) -> pd.DataFrame: else:
"""Returns price data for a symbol of the past month up until the previous trading days close. log.debug(f"{symbol} is not a Stock or Coin")
Also caches multiple requests made in the same day. return pd.DataFrame()
Parameters 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.
symbol : str Also caches multiple requests made in the same day.
Stock symbol.
Parameters
Returns ----------
------- symbol : str
pd.DataFrame Stock symbol.
Returns a timeseries dataframe with high, low, and volume data if its available.
Otherwise returns empty pd.DataFrame. Returns
""" -------
if isinstance(symbol, Stock): pd.DataFrame
return self.stock.chart_reply(symbol) Returns a timeseries dataframe with high, low, and volume data if its available.
elif isinstance(symbol, Coin): Otherwise returns empty pd.DataFrame.
return self.crypto.chart_reply(symbol) """
else: if isinstance(symbol, Stock):
log.debug(f"{symbol} is not a Stock or Coin") return self.stock.chart_reply(symbol)
return pd.DataFrame() elif isinstance(symbol, Coin):
return self.crypto.chart_reply(symbol)
def stat_reply(self, symbols: list[Symbol]) -> list[str]: else:
"""Gets key statistics for each symbol in the list log.debug(f"{symbol} is not a Stock or Coin")
return pd.DataFrame()
Parameters
---------- def stat_reply(self, symbols: list[Symbol]) -> list[str]:
symbols : list[str] """Gets key statistics for each symbol in the list
List of stock symbols
Parameters
Returns ----------
------- symbols : list[str]
Dict[str, str] List of stock symbols
Each symbol passed in is a key with its value being a human readable
formatted string of the symbols statistics. Returns
""" -------
replies = [] Dict[str, str]
Each symbol passed in is a key with its value being a human readable
for symbol in symbols: formatted string of the symbols statistics.
if isinstance(symbol, Stock): """
replies.append(self.stock.stat_reply(symbol)) replies = []
elif isinstance(symbol, Coin):
replies.append(self.crypto.stat_reply(symbol)) for symbol in symbols:
else: if isinstance(symbol, Stock):
log.debug(f"{symbol} is not a Stock or Coin") replies.append(self.stock.stat_reply(symbol))
elif isinstance(symbol, Coin):
return replies replies.append(self.crypto.stat_reply(symbol))
else:
def cap_reply(self, symbols: list[Symbol]) -> list[str]: log.debug(f"{symbol} is not a Stock or Coin")
"""Gets market cap for each symbol in the list
return replies
Parameters
---------- def cap_reply(self, symbols: list[Symbol]) -> list[str]:
symbols : list[str] """Gets market cap for each symbol in the list
List of stock symbols
Parameters
Returns ----------
------- symbols : list[str]
Dict[str, str] List of stock symbols
Each symbol passed in is a key with its value being a human readable
formatted string of the symbols market cap. Returns
""" -------
replies = [] Dict[str, str]
Each symbol passed in is a key with its value being a human readable
for symbol in symbols: formatted string of the symbols market cap.
if isinstance(symbol, Stock): """
replies.append(self.stock.cap_reply(symbol)) replies = []
elif isinstance(symbol, Coin):
replies.append(self.crypto.cap_reply(symbol)) for symbol in symbols:
else: if isinstance(symbol, Stock):
log.debug(f"{symbol} is not a Stock or Coin") replies.append(self.stock.cap_reply(symbol))
elif isinstance(symbol, Coin):
return replies replies.append(self.crypto.cap_reply(symbol))
else:
def spark_reply(self, symbols: list[Symbol]) -> list[str]: log.debug(f"{symbol} is not a Stock or Coin")
"""Gets change for each symbol and returns it in a compact format
return replies
Parameters
---------- def spark_reply(self, symbols: list[Symbol]) -> list[str]:
symbols : list[str] """Gets change for each symbol and returns it in a compact format
List of stock symbols
Parameters
Returns ----------
------- symbols : list[str]
list[str] List of stock symbols
List of human readable strings.
""" Returns
replies = [] -------
list[str]
for symbol in symbols: List of human readable strings.
if isinstance(symbol, Stock): """
replies.append(self.stock.spark_reply(symbol)) replies = []
elif isinstance(symbol, Coin):
replies.append(self.crypto.spark_reply(symbol)) for symbol in symbols:
else: if isinstance(symbol, Stock):
log.debug(f"{symbol} is not a Stock or Coin") replies.append(self.stock.spark_reply(symbol))
elif isinstance(symbol, Coin):
return replies replies.append(self.crypto.spark_reply(symbol))
else:
@cached(cache=TTLCache(maxsize=1024, ttl=600)) log.debug(f"{symbol} is not a Stock or Coin")
def trending(self) -> str:
"""Checks APIs for trending symbols. return replies
Returns @cached(cache=TTLCache(maxsize=1024, ttl=600))
------- def trending(self) -> str:
list[str] """Checks APIs for trending symbols.
List of preformatted strings to be sent to user.
""" Returns
-------
# stocks = self.stock.trending() list[str]
coins = self.crypto.trending() List of preformatted strings to be sent to user.
"""
reply = ""
# stocks = self.stock.trending()
log.warning(self.trending_count) coins = self.crypto.trending()
if self.trending_count:
reply += "🔥Trending on the Stock Bot:\n`" reply = ""
reply += "" * len("Trending on the Stock Bot:") + "`\n"
log.warning(self.trending_count)
sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5] if self.trending_count:
log.warning(sorted_trending) reply += "🔥Trending on the Stock Bot:\n`"
for t in sorted_trending: reply += "" * len("Trending on the Stock Bot:") + "`\n"
reply += self.spark_reply(self.find_symbols(t))[0] + "\n"
sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5]
if coins: log.warning(sorted_trending)
reply += "\n\n🦎Trending Crypto:\n`" for t in sorted_trending:
reply += "" * len("Trending Crypto:") + "`\n" reply += self.spark_reply(self.find_symbols(t))[0] + "\n"
for coin in coins:
reply += coin + "\n" if coins:
reply += "\n\n🦎Trending on CoinGecko:\n`"
if "`$GME" in reply: reply += "" * len("Trending on CoinGecko:") + "`\n"
reply = reply.replace("🔥", "🦍") for coin in coins:
reply += coin + "\n"
if reply:
return reply if "`$GME" in reply:
else: reply = reply.replace("🔥", "🦍")
log.warning("Failed to collect trending data.")
return "Trending data is not currently available." if reply:
return reply
def random_pick(self) -> str: else:
choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"])) log.warning("Failed to collect trending data.")
hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y") return "Trending data is not currently available."
return f"{choice}\nBuy and hold until: {hold}" def random_pick(self) -> str:
# choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"]))
def batch_price_reply(self, symbols: list[Symbol]) -> list[str]: choice = random.choice(list(self.crypto.symbol_list["description"]))
"""Returns current market price or after hours if its available for a given stock symbol. hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y")
Parameters return f"{choice}\nBuy and hold until: {hold}"
----------
symbols : list def batch_price_reply(self, symbols: list[Symbol]) -> list[str]:
List of stock symbols. """Returns current market price or after hours if its available for a given stock symbol.
Returns Parameters
------- ----------
Dict[str, str] symbols : list
Each symbol passed in is a key with its value being a human readable List of stock symbols.
markdown formatted string of the symbols price and movement.
""" Returns
replies = [] -------
stocks = [] Dict[str, str]
coins = [] Each symbol passed in is a key with its value being a human readable
markdown formatted string of the symbols price and movement.
for symbol in symbols: """
if isinstance(symbol, Stock): replies = []
stocks.append(symbol) stocks = []
elif isinstance(symbol, Coin): coins = []
coins.append(symbol)
else: for symbol in symbols:
log.debug(f"{symbol} is not a Stock or Coin") if isinstance(symbol, Stock):
stocks.append(symbol)
if stocks: elif isinstance(symbol, Coin):
for stock in stocks: coins.append(symbol)
replies.append(self.stock.price_reply(stock)) else:
if coins: log.debug(f"{symbol} is not a Stock or Coin")
replies = replies + self.crypto.batch_price(coins)
if stocks:
return replies for stock in stocks:
replies.append(self.stock.price_reply(stock))
if coins:
replies = replies + self.crypto.batch_price(coins)
return replies
def options(self, request: str, symbols: list[Symbol]) -> Dict:
request = request.lower()
if len(symbols) == 1:
symbol = symbols[0]
request = request.replace(symbol.tag.lower(), symbol.symbol.lower())
return self.stock.options_reply(request)
else:
return self.stock.options_reply(request)
+31
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@@ -0,0 +1,31 @@
import time
import logging
log = logging.getLogger(__name__)
def rate_limited(max_per_second):
"""
Decorator that ensures the wrapped function is called at most `max_per_second` times per second.
"""
min_interval = 1.0 / max_per_second
def decorate(func):
last_called = [0.0]
def rate_limited_function(*args, **kwargs):
elapsed = time.time() - last_called[0]
left_to_wait = min_interval - elapsed
if left_to_wait > 0:
log.info(f"Rate limit exceeded. Waiting for {left_to_wait:.2f} seconds.")
time.sleep(left_to_wait)
ret = func(*args, **kwargs)
last_called[0] = time.time()
return ret
return rate_limited_function
return decorate
+12 -8
View File
@@ -1,8 +1,12 @@
-r telegram/requirements.txt -r common/requirements.txt
black==23.3.0 -r site/requirements.txt
flake8==5.0.4 black==23.9.1
Flake8-pyproject==1.2.3 ipython==8.16.1
pylama==8.4.1 jupyter_client==8.4.0
mypy==1.2.0 jupyter_core==5.4.0
types-cachetools==5.3.0.5 pylama==8.4.1
types-pytz==2023.3.0.0 mypy==1.5.1
types-cachetools==5.3.0.6
types-pytz==2023.3.1.1
ruff==0.0.292
isort==5.12.0
+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-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://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://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://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" ]
+256 -202
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@@ -1,202 +1,256 @@
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 D_info import D_info
from nextcord.ext import commands
from D_info import D_info
from common.symbol_router import Router from common.symbol_router import Router
DISCORD_TOKEN = os.environ["DISCORD"] DISCORD_TOKEN = os.environ["DISCORD"]
s = Router() s = Router()
d = D_info() d = D_info()
intents = nextcord.Intents.default() intents = nextcord.Intents.default()
client = nextcord.Client(intents=intents) client = nextcord.Client(intents=intents)
bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents) bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents)
logger = logging.getLogger("nextcord") logger = logging.getLogger("nextcord")
logger.setLevel(logging.INFO) logger.setLevel(logging.INFO)
handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w") handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w")
handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s")) handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s"))
logger.addHandler(handler) logger.addHandler(handler)
@bot.event @bot.event
async def on_ready(): async def on_ready():
logging.info("Starting Simple Stock Bot") logging.info("Starting Simple Stock Bot")
logging.info(f"Logged in as {bot.user.name} {bot.user.id}") logging.info(f"Logged in as {bot.user.name} {bot.user.id}")
@bot.command() @bot.command()
async def status(ctx: commands): async def status(ctx: commands):
"""Debug command for diagnosing if the bot is experiencing any issues.""" """Debug command for diagnosing if the bot is experiencing any issues."""
logging.warning(f"Status command ran by {ctx.message.author}") logging.info(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: # Ignore messages from the bot itself
return if message.author.id == bot.user.id:
if message.content: return
if message.content[0] == "/":
await bot.process_commands(message) content_lower = message.content.lower()
return
# Process commands starting with "/"
if "$" in message.content: if message.content.startswith("/"):
symbols = s.find_symbols(message.content) await bot.process_commands(message)
return
if symbols:
for reply in s.price_reply(symbols): symbols = None
await message.channel.send(reply) if "$" in message.content:
return symbols = s.find_symbols(message.content)
if "call" in content_lower or "put" in content_lower:
bot.run(DISCORD_TOKEN) await handle_options(message, symbols)
return
if symbols:
for reply in s.price_reply(symbols):
await message.channel.send(reply)
return
async def handle_options(message, symbols):
logging.info("Options detected")
try:
options_data = s.options(message.content.lower(), symbols)
# Create the embed directly within the function
embed = nextcord.Embed(title=options_data["Option Symbol"], description=options_data["Underlying"], color=0x3498DB)
# Key details
details = (
f"Expiration: {options_data['Expiration']}\n" f"Side: {options_data['side']}\n" f"Strike: {options_data['strike']}"
)
embed.add_field(name="Details", value=details, inline=False)
# Pricing info
pricing_info = (
f"Bid: {options_data['bid']} (Size: {options_data['bidSize']})\n"
f"Mid: {options_data['mid']}\n"
f"Ask: {options_data['ask']} (Size: {options_data['askSize']})\n"
f"Last: {options_data['last']}"
)
embed.add_field(name="Pricing", value=pricing_info, inline=False)
# Volume and open interest
volume_info = f"Open Interest: {options_data['Open Interest']}\n" f"Volume: {options_data['Volume']}"
embed.add_field(name="Activity", value=volume_info, inline=False)
# Greeks
greeks_info = (
f"IV: {options_data['Implied Volatility']}\n"
f"Delta: {options_data['delta']}\n"
f"Gamma: {options_data['gamma']}\n"
f"Theta: {options_data['theta']}\n"
f"Vega: {options_data['vega']}\n"
f"Rho: {options_data['rho']}"
)
embed.add_field(name="Greeks", value=greeks_info, inline=False)
# Send the created embed
await message.channel.send(embed=embed)
except KeyError as ex:
logging.warning(f"KeyError processing options for message {message.content}: {ex}")
bot.run(DISCORD_TOKEN)
+2
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@@ -0,0 +1,2 @@
nextcord==2.6.0
-r requirements.txt
-7
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@@ -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
+2 -3
View File
@@ -1,13 +1,12 @@
version: '3' version: "3"
services: services:
telegram: telegram:
build: build:
context: . context: .
dockerfile: telegram/Dockerfile dockerfile: telegram/Dockerfile
image: registry.gitlab.com/simple-stock-bots/simple-telegram-stock-bot
env_file: .env env_file: .env
discord: discord:
build: build:
context: . context: .
dockerfile: discord/Dockerfile dockerfile: discord/Dockerfile
env_file: .env env_file: .env
+27
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@@ -0,0 +1,27 @@
{
"name": "simple-stock-bot",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"devDependencies": {
"prettier": "3.0.3"
}
},
"node_modules/prettier": {
"version": "3.0.3",
"resolved": "https://registry.npmjs.org/prettier/-/prettier-3.0.3.tgz",
"integrity": "sha512-L/4pUDMxcNa8R/EthV08Zt42WBO4h1rarVtK0K+QJG0X187OLo7l699jWw0GKuwzkPQ//jMFA/8Xm6Fh3J/DAg==",
"dev": true,
"bin": {
"prettier": "bin/prettier.cjs"
},
"engines": {
"node": ">=14"
},
"funding": {
"url": "https://github.com/prettier/prettier?sponsor=1"
}
}
}
}
+5
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@@ -0,0 +1,5 @@
{
"devDependencies": {
"prettier": "3.0.3"
}
}
+11 -8
View File
@@ -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
+1
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@@ -0,0 +1 @@
.cache
+23
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@@ -0,0 +1,23 @@
image: python:3.11
build_site:
stage: build
script:
- cd ./site
- pip install -r requirements.txt
- mkdocs build --site-dir ../public --verbose
artifacts:
paths:
- public
deploy_site:
stage: deploy
script:
- echo "Publishing site..."
dependencies:
- build_site
artifacts:
paths:
- public
rules:
- if: "$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH"
+12
View File
@@ -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.
```
+5
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@@ -0,0 +1,5 @@
authors:
Anson:
name: Anson Biggs
description: Creator
avatar: https://gitlab.com/uploads/-/system/user/avatar/1377308/avatar.png
+1
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@@ -0,0 +1 @@
# Blog
+64
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@@ -0,0 +1,64 @@
---
title: "Introducing Simple Stock Bot: Your Chat Group's Financial Whiz"
date: 2023-10-10
tags: [Simple Stock Bot, Introduction, Telegram, Discord, Financial Insights]
authors: [Anson]
description: >
Welcome to the world of Simple Stock Bot, where real-time financial insights are integrated seamlessly into your group chats on Telegram and Discord!
---
## What is Simple Stock Bot?
Simple Stock Bot is a chatbot designed to enrich your financial discussions on Telegram and Discord. Regardless of whether you're a seasoned trader or a beginner in the stock market, this bot is here to make your discussions more informative and engaging.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
I wonder how $tsla is affecting the price of $$btc
</div>
<div class="message from">
The current stock price of Tesla Inc is $866.57, the stock is currently up 1.68%
</div>
<div class="message from">
The current price of Bitcoin is $34,815, the coin is currently down -0.151% for today
</div>
</div>
</div>
With Simple Stock Bot, you can:
- **Fetch Real-time Quotes**: Obtain the latest stock and cryptocurrency prices instantly within your group chat.
- **View Charts**: Delve into intraday movements or assess a month's trading data right inside your group chat.
- **Stay Updated on Market Trends**: Discover what's buzzing in the stock and crypto spheres.
## Add the Bot to your Group
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button }
[:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## Using the Bot
Embarking on your journey with Simple Stock Bot is effortless. Just add the bot to your Telegram or Discord group, and you're all set to dive into financial discussions right from your chat!
Here are some simple commands to get you started:
- `/intra` to view intraday charts.
- `/chart` for a glimpse of the last month's trading data.
- `/trending` to catch up on the latest trending stocks and cryptocurrencies.
## Keeping It Free
Simple Stock Bot is a community-supported project, thriving on the contributions from its users. It's sustained entirely through donations to cover server costs and premium market data subscriptions, ensuring it remains free for everyone.
Feeling generous? You can support the project by [donating](https://simplestockbot.com/donate/), following on [Twitter](https://twitter.com/AnsonBiggs), or contributing on [GitLab](https://gitlab.com/simple-stock-bots/simple-stock-bot).
## Dive Deeper
Craving more insights and features? Explore the [official documentation](https://simplestockbot.com/) to uncover all the capabilities of Simple Stock Bot.
Get ready to elevate your financial discussions with Simple Stock Bot! Your group chats will never be the same again.
---
Stay tuned for more updates, tips, and financial insights brought to you by Simple Stock Bot. Heres to making every financial discussion enriched and informed!
+188
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Symbols are used in headings to denote what platforms and symbol types a command supports.
- Telegram Only :fontawesome-brands-telegram:
- Discord Only :fontawesome-brands-discord:
- Bot Commands :robot:
- Cryptocurrency Support :material-currency-btc:
- Stock Market Support :bank:
## Get the Bots
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button } [:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## Symbol Detection :material-currency-btc: :bank:
The Simple Stock Bot looks at every message it can see and tries to detect stock and cryptocurrency symbols. Stock market tickers are denoted with a single `$` and cryptocurrency coins are denoted with a double `$$`. So getting the price of Tesla is as simple as `$tsla` and Bitcoin `$$btc`. These symbols can be in any part of a message and there can be multiple of them aswell.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
I wonder how $tsla is affecting the price of $$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>
## Options Detection :bank:
This command allows you to query real-time data for stock options. By simply inputting the stock symbol, strike price, month, and specifying either a call or a put, you can get the latest options data right at your fingertips. For example, `AAPL $220 December call` will provide the current data for Apple's call option with a $220 strike price expiring in December.
![Image of the telegram bot providing options info.](img/telegram_options.png)
## `/donate [Amount in USD]` :fontawesome-brands-telegram-plane:
The donate command is used to send money to the bot to help keep it free. The premium stock market data and server rentals add up so any amount helps. See the [Donate](donate.md) page for more information.
<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 $664.315, the stock is
currently down -0.99%
</div>
</div>
</div>
## `/status` :robot:
This command is to get diagnostic information about the bot and the services it is dependant on in order to operate. Any issues should be reported to me. [Contact](contact.md)
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/status
</div>
<pre class="message from">
Bot Status:
It took 0.783369 seconds for the bot to get your message.
Stock Market Data:
marketdata.app is currently not reporting any issues with its API.
Cryptocurrency Data:
CoinGecko API responded that it was OK in 0.160962 Seconds.
</pre>
</div>
</div>
## Inline Features :fontawesome-brands-telegram: :material-currency-btc: :bank:
You can type @SimpleStockBot `[search]` in any chat or direct message to search for the stock bots
full list of stock symbols and return the price of the ticker. Then once you select the ticker
want the bot will send a message as you in that chat with the latest stock price.
The bot also looks at every message in any chat it is in for stock symbols.Symbols start with a
`$` 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-stock-bot).
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# Support Simple Stock Bot
Running Simple Stock Bot incurs a yearly expense of about $420, covering server costs and premium market data subscription from [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo). Every donation helps in maintaining the bot and ensuring its continued availability for all users.
Your support through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) is greatly appreciated, which accepts both PayPal and Credit Card donations.
For Telegram users, a convenient way to donate is by using the `/donate` [command](commands.md#donate-amount-in-usd).
Should you have any inquiries, feel free to get in [touch](contact.md).
## Additional Support:
Your engagement also counts as support! Here are other ways to contribute:
- Stay updated by following me on [Twitter](https://twitter.com/AnsonBiggs).
- Contribute to the project or star it on [GitLab](https://gitlab.com/simple-stock-bots).
- If you plan to host your own bot, consider using my referral links:
- [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web)
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
Your support in any form is immensely appreciated and helps in keeping Simple Stock Bot operational and free for everyone.
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# Self-Hosting Guide
This guide provides step-by-step instructions for setting up and running this project on your local machine, whether for development, testing, or personal use.
## Get the Bots
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button } [:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## Pre-requisites
Ensure the following are installed or obtained before proceeding:
- **[Docker](https://hub.docker.com/?overlay=onboarding)**: The project is containerized using Docker Compose, allowing it to run on any system with Docker installed.
- **API Keys**:
- **Telegram**: Obtain a free API key by interacting with [BotFather](https://telegram.me/botfather). More details [here](https://core.telegram.org/bots#3-how-do-i-create-a-bot).
- **Discord**: Get a free API key at [https://discord.com/developers](https://discord.com/developers).
- **[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web)**: Sign up to get an API key. A free tier is available and should suffice for private groups. More details [here](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo).
!!! tip
The bot will still operate without a [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo) key but will revert to using only cryptocurrency data.
!!! note
To enable donation acceptance, obtain a Stripe API key and provide a `STRIPE` key to your bot. [https://stripe.com/]()
## Setup Instructions
1. **Download/Clone the Repository**:
- Download or clone this repository to your local machine.
2. **Configure Environment Variables**:
- Navigate to the project directory and locate the `.env` file.
- Fill in the `.env` file with your obtained API keys:
```plaintext
MARKETDATA=your_marketdata_api_key
STRIPE=your_stripe_api_key
TELEGRAM=your_telegram_api_key
DISCORD=your_discord_api_key
```
Alternatively, pass the variables using Docker Compose environment variables or command-line arguments.
3. **Build and Run the Bot:**
- Open a terminal in the project directory.
- Build and run both bots using Docker Compose:
```bash
docker-compose up
```
Now, your bot(s) should be up and running! If you're unfamiliar with Docker, reviewing the [Docker documentation](https://docs.docker.com/) is highly recommended to gain better control over your bot and understand Docker commands better.
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# Elevate Your Groupchats with Real-time Stock Insights
Discover a new level of financial discussion with Simple Stock Bot, your go-to solution for real-time stock market and cryptocurrency insights within your Telegram or Discord group chats. Transform your everyday discussions into an interactive financial exploration experience. With Simple Stock Bot, keeping up with the stock market or cryptocurrency trends has never been more seamless and engaging.
## Get the Bots
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button } [:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## [Commands](commands.md)
### Real-Time Stock and Cryptocurrency Updates
- Get live price updates of stocks and cryptocurrencies.
- Symbol Detection: Use `$` for stocks and `$$` for cryptocurrencies, e.g., `$tsla` for Tesla and `$$btc` for Bitcoin.
### Intraday and Historical Data Visualization
- `/intra`: View a stock's movement since the last market open or a cryptocurrency's 24-hour chart.
- `/chart`: Provides a chart of the last month's trading data up till the day before.
### Trending Assets Awareness
- `/trending`: Discover the latest trending stocks and cryptocurrencies and their price changes.
### In-App Assistance and Support
- `/help`: Provides a quick summary of available commands for easy reference.
- `/donate`: Support the maintenance of the bot to ensure continued free access.
### User-Friendly Interaction
- Easy symbol and command usage for a smooth user experience.
- Engage with a community of financial enthusiasts and share insights effortlessly.
## [Contact](contact.md)
Need assistance or have inquiries? Feel free to reach out and I'll be happy to help.
## Powered by MarketData.app
Simple Stock Bots is able to provide real-time stock market insights thanks to the data supplied by [MarketData.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web). MarketData.app delivers accurate and up-to-date financial data, fueling the bot's capabilities in delivering timely stock quotes, charts, and other market-related information directly to your Telegram or Discord groups. The robust data infrastructure provided by MarketData.app not only ensures the reliability and accuracy of the information you receive but also enables the offering of Simple Stock Bots for free to all users. By leveraging MarketData.app's comprehensive financial data, the goal is to foster informed financial discussions and make market monitoring an effortless and accessible experience for everyone.
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/* 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
repo_url: https://gitlab.com/simple-stock-bots/simple-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
- Blog: blog/index.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
- blog
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
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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-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://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://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://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 +1,508 @@
# 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 from T_info import T_info
from telegram import (
InlineQueryResultArticle, import telegram
InputTextMessageContent, from common.symbol_router import Router
LabeledPrice, from telegram import InlineQueryResultArticle, InputTextMessageContent, LabeledPrice, Update
Update, from telegram.ext import (
) Application,
from telegram.ext import ( CommandHandler,
CallbackContext, ContextTypes,
CommandHandler, InlineQueryHandler,
Filters, MessageHandler,
InlineQueryHandler, PreCheckoutQueryHandler,
MessageHandler, filters,
PreCheckoutQueryHandler, )
Updater,
) # Enable logging
logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO)
from common.symbol_router import Router
from T_info import T_info # set higher logging level for httpx to avoid all GET and POST requests being logged
logging.getLogger("httpx").setLevel(logging.WARNING)
# Enable logging
logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO) log = logging.getLogger(__name__)
log = logging.getLogger(__name__)
TELEGRAM_TOKEN = os.environ["TELEGRAM"]
TELEGRAM_TOKEN = os.environ["TELEGRAM"]
try:
try: STRIPE_TOKEN = os.environ["STRIPE"]
STRIPE_TOKEN = os.environ["STRIPE"] except KeyError:
except KeyError: STRIPE_TOKEN = ""
STRIPE_TOKEN = "" log.warning("Starting without a STRIPE Token will not allow you to accept Donations!")
log.warning("Starting without a STRIPE Token will not allow you to accept Donations!")
s = Router()
s = Router() t = T_info()
t = T_info()
log.info("Bot script started.")
log.info("Bot script started.")
async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
def start(update: Update, context: CallbackContext): """Send help text when the command /start is issued."""
"""Send help text when the command /start is issued.""" log.info(f"Start command ran by {update.message.chat.username}")
log.info(f"Start command ran by {update.message.chat.username}") await update.message.reply_text(
update.message.reply_text( text=t.help_text,
text=t.help_text, parse_mode=telegram.constants.ParseMode.MARKDOWN,
parse_mode=telegram.ParseMode.MARKDOWN, disable_notification=True,
disable_notification=True, )
)
async def help(update: Update, context: ContextTypes.DEFAULT_TYPE):
def help(update: Update, context: CallbackContext): """Send help text when the command /help is issued."""
"""Send help text when the command /help is issued.""" log.info(f"Help command ran by {update.message.chat.username}")
log.info(f"Help command ran by {update.message.chat.username}") await update.message.reply_text(
update.message.reply_text( text=t.help_text,
text=t.help_text, parse_mode=telegram.constants.ParseMode.MARKDOWN,
parse_mode=telegram.ParseMode.MARKDOWN, disable_notification=True,
disable_notification=True, )
)
async def license(update: Update, context: ContextTypes.DEFAULT_TYPE):
def license(update: Update, context: CallbackContext): """Send bots license when the /license command is issued."""
"""Send bots license when the /license command is issued.""" log.info(f"License command ran by {update.message.chat.username}")
log.info(f"License command ran by {update.message.chat.username}") await update.message.reply_text(
update.message.reply_text( text=t.license,
text=t.license, parse_mode=telegram.constants.ParseMode.MARKDOWN,
parse_mode=telegram.ParseMode.MARKDOWN, disable_notification=True,
disable_notification=True, )
)
async def status(update: Update, context: ContextTypes.DEFAULT_TYPE):
def status(update: Update, context: CallbackContext): """Gather status of bot and dependant services and return important status updates."""
"""Gather status of bot and dependant services and return important status updates.""" log.warning(f"Status command ran by {update.message.chat.username}")
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_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.")
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(
update.message.reply_text( text=bot_status,
text=bot_status, parse_mode=telegram.constants.ParseMode.MARKDOWN,
parse_mode=telegram.ParseMode.MARKDOWN, )
)
async def donate(update: Update, context: ContextTypes.DEFAULT_TYPE):
def donate(update: Update, context: CallbackContext): """Sets up donation."""
"""Sets up donation.""" log.info(f"Donate command ran by {update.message.chat.username}")
log.info(f"Donate command ran by {update.message.chat.username}") chat_id = update.message.chat_id
chat_id = update.message.chat_id
if update.message.text.strip() == "/donate" or "/donate@" in update.message.text:
if update.message.text.strip() == "/donate" or "/donate@" in update.message.text: await update.message.reply_text(
update.message.reply_text( text=t.donate_text,
text=t.donate_text, parse_mode=telegram.constants.ParseMode.MARKDOWN,
parse_mode=telegram.ParseMode.MARKDOWN, disable_notification=True,
disable_notification=True, )
) amount = 1.0
amount = 1.0 else:
else: amount = float(update.message.text.replace("/donate", "").replace("$", "").strip())
amount = float(update.message.text.replace("/donate", "").replace("$", "").strip())
try:
try: price = int(amount * 100)
price = int(amount * 100) except ValueError:
except ValueError: await update.message.reply_text(f"{amount} is not a valid donation amount or number.")
update.message.reply_text(f"{amount} is not a valid donation amount or number.") return
return log.info(f"Donation amount: {price} by {update.message.chat.username}")
log.info(f"Donation amount: {price} by {update.message.chat.username}")
await context.bot.send_invoice(
context.bot.send_invoice( chat_id=chat_id,
chat_id=chat_id, title="Simple Stock Bot Donation",
title="Simple Stock Bot Donation", description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}",
description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}", payload=f"simple-stock-bot-{chat_id}",
payload=f"simple-stock-bot-{chat_id}", provider_token=STRIPE_TOKEN,
provider_token=STRIPE_TOKEN, currency="USD",
currency="USD", prices=[LabeledPrice("Donation:", price)],
prices=[LabeledPrice("Donation:", price)], start_parameter="",
start_parameter="", # suggested_tip_amounts=[100, 500, 1000, 2000],
# suggested_tip_amounts=[100, 500, 1000, 2000], photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png",
photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png", photo_width=500,
photo_width=500, photo_height=500,
photo_height=500, )
)
async def precheckout_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
def precheckout_callback(update: Update, context: CallbackContext): """Approves donation"""
"""Approves donation""" log.info("precheckout_callback queried")
log.info("precheckout_callback queried") query = update.pre_checkout_query
query = update.pre_checkout_query
await query.answer(ok=True)
query.answer(ok=True) # I dont think I need to check since its only donations.
# I dont think I need to check since its only donations. # if query.invoice_payload == "simple-stock-bot":
# if query.invoice_payload == "simple-stock-bot": # # answer False pre_checkout_query
# # answer False pre_checkout_query # await query.answer(ok=True)
# query.answer(ok=True) # else:
# else: # await query.answer(ok=False, error_message="Something went wrong...")
# query.answer(ok=False, error_message="Something went wrong...")
async def successful_payment_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
def successful_payment_callback(update: Update, context: CallbackContext): """Thanks user for donation"""
"""Thanks user for donation""" log.info("Successful payment!")
log.info("Successful payment!") await update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!")
update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!")
async def symbol_detect_image(update: Update, context: ContextTypes.DEFAULT_TYPE):
def symbol_detect_image(update: Update, context: CallbackContext): """
""" Makes image captions into text then passes the `update` and `context`
Makes image captions into text then passes the `update` and `context` to symbol detect so that it can reply cashtags in image captions.
to symbol detect so that it can reply cashtags in image captions. """
""" try:
try: if update.message.caption:
if update.message.caption: update.message.text = update.message.caption
update.message.text = update.message.caption await symbol_detect(update, context)
symbol_detect(update, context) except AttributeError:
except AttributeError: return
return
async def symbol_detect(update: Update, context: ContextTypes.DEFAULT_TYPE):
def symbol_detect(update: Update, context: CallbackContext): """
""" Runs on any message that doesn't have a command and searches for cashtags,
Runs on any message that doesn't have a command and searches for cashtags, then returns the prices of any symbols found.
then returns the prices of any symbols found. """
""" try:
try: message = update.message.text
message = update.message.text chat_id = update.message.chat_id
chat_id = update.message.chat_id if "$" in message:
if "$" in message: log.info("Looking for Symbols")
symbols = s.find_symbols(message) symbols = s.find_symbols(message)
log.info("Looking for Symbols") else:
else: return
return except AttributeError as ex:
except AttributeError as ex: log.info(ex)
log.info(ex) return
return
if symbols: # Detect Options
# Let user know bot is working if ("call" in message.lower()) or ("put" in message.lower()):
context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.TYPING) log.info("Options detected")
log.info(f"Symbols found: {symbols}") await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
try:
for reply in s.price_reply(symbols): options_data = s.options(message, symbols)
update.message.reply_text(
text=reply, await update.message.reply_text(
parse_mode=telegram.ParseMode.MARKDOWN, text=generate_options_reply(options_data),
disable_notification=True, parse_mode=telegram.constants.ParseMode.MARKDOWN,
) )
return
except KeyError as ex:
def intra(update: Update, context: CallbackContext): logging.warning(ex)
"""returns a chart of intraday data for a symbol""" pass
log.info(f"Intra command ran by {update.message.chat.username}")
if symbols:
message = update.message.text log.info(f"Symbols found: {symbols}")
chat_id = update.message.chat_id await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
if message.strip().split("@")[0] == "/intra": for reply in s.price_reply(symbols):
update.message.reply_text( await update.message.reply_text(
"This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla" text=reply,
) parse_mode=telegram.constants.ParseMode.MARKDOWN,
return disable_notification=True,
)
symbols = s.find_symbols(message, trending_weight=5)
symbol = symbols[0]
def generate_options_reply(options_data: dict):
if len(symbols): # Header with Option Symbol and Underlying
symbol = symbols[0] message_text = f"*{options_data['Option Symbol']} ({options_data['Underlying']})*\n\n"
else:
update.message.reply_text("No symbols or coins found.") # Key details
return details = (
f"*Expiration:* `{options_data['Expiration']}`\n"
df = s.intra_reply(symbol) f"*Side:* `{options_data['side']}`\n"
if df.empty: f"*Strike:* `{options_data['strike']}`\n"
update.message.reply_text( f"*First Traded:* `{options_data['First Traded']}`\n"
text="Invalid symbol please see `/help` for usage details.", f"*Last Updated:* `{options_data['Last Updated']}`\n\n"
parse_mode=telegram.ParseMode.MARKDOWN, )
disable_notification=True, message_text += details
)
return # Pricing info
pricing_info = (
context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.UPLOAD_PHOTO) f"*Bid:* `{options_data['bid']}` (Size: `{options_data['bidSize']}`)\n"
f"*Mid:* `{options_data['mid']}`\n"
buf = io.BytesIO() f"*Ask:* `{options_data['ask']}` (Size: `{options_data['askSize']}`)\n"
mpf.plot( f"*Last:* `{options_data['last']}`\n\n"
df, )
type="renko", message_text += pricing_info
title=f"\n{symbol.name}",
volume="Volume" in df.keys(), # Volume and open interest
style="yahoo", volume_info = f"*Open Interest:* `{options_data['Open Interest']}`\n" f"*Volume:* `{options_data['Volume']}`\n\n"
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), message_text += volume_info
)
buf.seek(0) # Greeks
greeks_info = (
update.message.reply_photo( f"*IV:* `{options_data['Implied Volatility']}`\n"
photo=buf, f"*Delta:* `{options_data['delta']}`\n"
caption=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to" f"*Gamma:* `{options_data['gamma']}`\n"
+ f" {df.last_valid_index().strftime('%d %b at %H:%M %Z')}" f"*Theta:* `{options_data['theta']}`\n"
+ f"\n\n{s.price_reply([symbol])[0]}", f"*Vega:* `{options_data['vega']}`\n"
parse_mode=telegram.ParseMode.MARKDOWN, f"*Rho:* `{options_data['rho']}`\n"
disable_notification=True, )
) message_text += greeks_info
return message_text
def chart(update: Update, context: CallbackContext):
"""returns a chart of the past month of data for a symbol"""
log.info(f"Chart command ran by {update.message.chat.username}") async def intra(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of intraday data for a symbol"""
message = update.message.text log.info(f"Intra command ran by {update.message.chat.username}")
chat_id = update.message.chat_id
message = update.message.text
if message.strip().split("@")[0] == "/chart": chat_id = update.message.chat_id
update.message.reply_text(
"This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla" if message.strip().split("@")[0] == "/intra":
) await update.message.reply_text(
return "This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla"
)
symbols = s.find_symbols(message, trending_weight=10) return
if len(symbols): symbols = s.find_symbols(message, trending_weight=5)
symbol = symbols[0] symbol = symbols[0]
else:
update.message.reply_text("No symbols or coins found.") if len(symbols):
return symbol = symbols[0]
else:
df = s.chart_reply(symbol) await update.message.reply_text("No symbols or coins found.")
if df.empty: return
update.message.reply_text(
text="Invalid symbol please see `/help` for usage details.", df = s.intra_reply(symbol)
parse_mode=telegram.ParseMode.MARKDOWN, if df.empty:
disable_notification=True, await update.message.reply_text(
) text="Invalid symbol please see `/help` for usage details.",
return parse_mode=telegram.constants.ParseMode.MARKDOWN,
context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.UPLOAD_PHOTO) disable_notification=True,
)
buf = io.BytesIO() return
mpf.plot(
df, await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
type="candle",
title=f"\n{symbol.name}", buf = io.BytesIO()
volume="Volume" in df.keys(), mpf.plot(
style="yahoo", df,
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), type="renko",
) title=f"\n{symbol.name}",
buf.seek(0) volume="Volume" in df.keys(),
style="yahoo",
update.message.reply_photo( savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
photo=buf, )
caption=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}" buf.seek(0)
+ f" to {df.last_valid_index().strftime('%d, %b %Y')}\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 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 chart(update: Update, context: ContextTypes.DEFAULT_TYPE):
context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.TYPING) """returns a chart of the past month of data for a symbol"""
log.info(f"Chart command ran by {update.message.chat.username}")
trending_list = s.trending()
message = update.message.text
update.message.reply_text( chat_id = update.message.chat_id
text=trending_list,
parse_mode=telegram.ParseMode.MARKDOWN, if message.strip().split("@")[0] == "/chart":
disable_notification=True, await update.message.reply_text(
) "This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla"
)
return
def inline_query(update: Update, context: CallbackContext):
""" symbols = s.find_symbols(message, trending_weight=10)
Handles inline query. Searches by looking if query is contained
in the symbol and returns matches in alphabetical order. if len(symbols):
""" symbol = symbols[0]
# info(f"Inline command ran by {update.message.chat.username}") else:
log.info(f"Query: {update.inline_query.query}") await update.message.reply_text("No symbols or coins found.")
return
ignored_queries = {"$", "$$", " ", ""}
df = s.chart_reply(symbol)
if update.inline_query.query.strip() in ignored_queries: if df.empty:
default_message = """ await update.message.reply_text(
You can type:\n@SimpleStockBot `[search]` text="Invalid symbol please see `/help` for usage details.",
in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price. parse_mode=telegram.constants.ParseMode.MARKDOWN,
""" disable_notification=True,
)
update.inline_query.answer( return
[ await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
InlineQueryResultArticle(
str(uuid4()), buf = io.BytesIO()
title="Please enter a query. It can be a ticker or a name of a company.", mpf.plot(
input_message_content=InputTextMessageContent(default_message, parse_mode=telegram.ParseMode.MARKDOWN), df,
) type="candle",
] title=f"\n{symbol.name}",
) volume="Volume" in df.keys(),
style="yahoo",
matches = s.inline_search(update.inline_query.query) savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
)
results = [] buf.seek(0)
for _, row in matches.iterrows():
results.append( await update.message.reply_photo(
InlineQueryResultArticle( photo=buf,
str(uuid4()), caption=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}"
title=row["description"], + f" to {df.last_valid_index().strftime('%d, %b %Y')}\n\n{s.price_reply([symbol])[0]}",
input_message_content=InputTextMessageContent(row["price_reply"], parse_mode=telegram.ParseMode.MARKDOWN), parse_mode=telegram.constants.ParseMode.MARKDOWN,
) disable_notification=True,
) )
if len(results) == 5:
update.inline_query.answer(results, cache_time=60 * 60) async def trending(update: Update, context: ContextTypes.DEFAULT_TYPE):
log.info("Inline Command was successful") """returns currently trending symbols and how much they've moved in the past trading day."""
return log.info(f"Trending command ran by {update.message.chat.username}")
update.inline_query.answer(results)
chat_id = update.message.chat_id
def rand_pick(update: Update, context: CallbackContext): await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
"""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}") trending_list = s.trending()
update.message.reply_text( await update.message.reply_text(
text=s.random_pick(), text=trending_list,
parse_mode=telegram.ParseMode.MARKDOWN, parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True, disable_notification=True,
) )
def error(update: Update, context: CallbackContext): async def inline_query(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
"""Log Errors caused by Updates.""" """
log.warning('Update "%s" caused error "%s"', update, error) Handles inline query. Searches by looking if query is contained
in the symbol and returns matches in alphabetical order.
tb_list = traceback.format_exception(None, context.error, context.error.__traceback__) """
tb_string = "".join(tb_list)
if not update.inline_query.query:
err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)]) return
log.warning(f"Logging error: {err_code}")
print(f"Query: {update.inline_query.query}")
if update:
log.warning( ignored_queries = {"$", "$$", " ", ""}
f"An exception was raised while handling an update\n"
f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n" if update.inline_query.query.strip() in ignored_queries:
f"\tcontext.chat_data = {str(context.chat_data)}\n" default_message = """
f"\tcontext.user_data = {str(context.user_data)}\n" You can type:\n@SimpleStockBot `[search]`
f"\t{html.escape(tb_string)}" in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price.
) """
update.message.reply_text( await update.inline_query.answer(
text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`", [
parse_mode=telegram.ParseMode.MARKDOWN, InlineQueryResultArticle(
) str(uuid4()),
else: title="Please enter a query. It can be a ticker or a name of a company.",
log.warning("No message to send to user.") input_message_content=InputTextMessageContent(
log.warning(tb_string) default_message, parse_mode=telegram.constants.ParseMode.MARKDOWN
),
)
def main(): ]
"""Start the context.bot.""" )
# Create the EventHandler and pass it your bot's token.
updater = Updater(TELEGRAM_TOKEN) matches = s.inline_search(update.inline_query.query)
# Get the dispatcher to register handlers results = []
dp = updater.dispatcher for _, row in matches.iterrows():
results.append(
# on different commands - answer in Telegram InlineQueryResultArticle(
dp.add_handler(CommandHandler("start", start)) str(uuid4()),
dp.add_handler(CommandHandler("help", help)) title=row["description"],
dp.add_handler(CommandHandler("license", license)) input_message_content=InputTextMessageContent(
dp.add_handler(CommandHandler("trending", trending)) row["price_reply"], parse_mode=telegram.constants.ParseMode.MARKDOWN
dp.add_handler(CommandHandler("random", rand_pick)) ),
dp.add_handler(CommandHandler("donate", donate)) )
dp.add_handler(CommandHandler("status", status)) )
dp.add_handler(CommandHandler("inline", inline_query))
if len(results) == 5:
# Charting can be slow so they run async. await update.inline_query.answer(results, cache_time=60 * 60)
dp.add_handler(CommandHandler("intra", intra, run_async=True)) log.info("Inline Command was successful")
dp.add_handler(CommandHandler("intraday", intra, run_async=True)) return
dp.add_handler(CommandHandler("day", intra, run_async=True)) await update.inline_query.answer(results)
dp.add_handler(CommandHandler("chart", chart, run_async=True))
dp.add_handler(CommandHandler("month", chart, run_async=True))
async def rand_pick(update: Update, context: ContextTypes.DEFAULT_TYPE):
# on noncommand i.e message - echo the message on Telegram """For the gamblers. Returns a random symbol to buy and a sell date"""
dp.add_handler(MessageHandler(Filters.text, symbol_detect)) log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}")
dp.add_handler(MessageHandler(Filters.photo, symbol_detect_image))
await update.message.reply_text(
# Inline Bot commands text=s.random_pick(),
dp.add_handler(InlineQueryHandler(inline_query)) parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
# Pre-checkout handler to final check )
dp.add_handler(PreCheckoutQueryHandler(precheckout_callback))
# Payment success async def error(update: Update, context: ContextTypes.DEFAULT_TYPE):
dp.add_handler(MessageHandler(Filters.successful_payment, successful_payment_callback)) """Log Errors caused by Updates."""
log.warning('Update "%s" caused error "%s"', update, error)
# log all errors
dp.add_error_handler(error) tb_list = traceback.format_exception(None, context.error, context.error.__traceback__)
tb_string = "".join(tb_list)
# Start the Bot
updater.start_polling() err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)])
log.warning(f"Logging error: {err_code}")
updater.idle()
if update:
log.warning(
if __name__ == "__main__": f"An exception was raised while handling an update\n"
main() f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n"
f"\tcontext.chat_data = {str(context.chat_data)}\n"
f"\tcontext.user_data = {str(context.user_data)}\n"
f"\t{html.escape(tb_string)}"
)
await update.message.reply_text(
text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
)
else:
log.warning("No message to send to user.")
log.warning(tb_string)
def main():
"""Start the context.bot."""
# Create the EventHandler and pass it your bot's token.
application = Application.builder().token(TELEGRAM_TOKEN).build()
# on different commands - answer in Telegram
application.add_handler(CommandHandler("start", start))
application.add_handler(CommandHandler("help", help))
application.add_handler(CommandHandler("license", license))
application.add_handler(CommandHandler("trending", trending))
application.add_handler(CommandHandler("random", rand_pick))
application.add_handler(CommandHandler("donate", donate))
application.add_handler(CommandHandler("status", status))
application.add_handler(CommandHandler("inline", inline_query))
# Charting can be slow so they run async.
application.add_handler(CommandHandler("intra", intra, block=False))
application.add_handler(CommandHandler("intraday", intra, block=False))
application.add_handler(CommandHandler("day", intra, block=False))
application.add_handler(CommandHandler("chart", chart, block=False))
application.add_handler(CommandHandler("month", chart, block=False))
# on noncommand i.e message - echo the message on Telegram
application.add_handler(MessageHandler(filters.TEXT, symbol_detect))
application.add_handler(MessageHandler(filters.PHOTO, symbol_detect_image))
# Inline Bot commands
application.add_handler(InlineQueryHandler(inline_query))
# Pre-checkout handler to final check
application.add_handler(PreCheckoutQueryHandler(precheckout_callback))
# Payment success
application.add_handler(MessageHandler(filters.SUCCESSFUL_PAYMENT, successful_payment_callback))
# log all errors
application.add_error_handler(error)
# Start the Bot
application.run_polling(allowed_updates=Update.ALL_TYPES)
if __name__ == "__main__":
main()
-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==20.6
-r requirements.txt
+23 -33
View File
@@ -1,33 +1,23 @@
import keyboard import time
import time
import keyboard
tests = """$$xno tests = """$$xno
/info $tsla $tsla
/info $$btc /intra $tsla
/news $tsla /intra $$btc
/news $$btc /chart $tsla
/stat $tsla /chart $$btc
/stat $$btc /help
/cap $tsla /trending""".split(
/cap $$btc "\n"
/dividend $tsla )
/dividend $msft
/dividend $$btc print("press enter to start")
/intra $tsla keyboard.wait("enter")
/intra $$btc
/chart $tsla for test in tests:
/chart $$btc print(test)
/help keyboard.write(test)
/trending""".split( time.sleep(1)
"\n" keyboard.press_and_release("enter")
)
print("press enter to start")
keyboard.wait("enter")
for test in tests:
print(test)
keyboard.write(test)
time.sleep(1)
keyboard.press_and_release("enter")