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36 Commits

Author SHA1 Message Date
Anson 5593346373 add buttons 2023-10-10 04:18:39 +00:00
Anson 40db63066b edits 2023-10-09 22:01:52 -06:00
Anson f772083521 complete renaming 2023-10-09 01:46:17 -06:00
Anson 81e433b08a rename docs to site 2023-10-09 01:45:53 -06:00
Anson b7fc32d865 enable the blog 2023-10-09 01:43:17 -06:00
Anson 1fb153cc14 idk what is happening to my life anymore 2023-10-09 01:36:52 -06:00
Anson 3c9bd16a04 one more try 2023-10-09 01:36:05 -06:00
Anson 16ce877d5c lets get my ass kicked by the CI at 130am on a work night 2023-10-09 01:34:26 -06:00
Anson b6fc82b491 always build but don't always publish 2023-10-09 01:32:22 -06:00
Anson a1bf4652f6 blogspam??? 2023-10-09 07:29:48 +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
Anson d6dd6f7353 revert changes to master 2023-09-03 12:02:45 -06:00
Anson 4cf0330734 remove building of containers entirely 2023-09-03 11:56:00 -06:00
Anson b70b0b5d42 try with correct compose 2023-09-03 09:41:47 -06:00
Anson 94c140e96a really fixed this time 2023-09-03 09:33:05 -06:00
Anson aa96ab7af9 move config to correct location 2023-09-03 09:31:38 -06:00
Anson 1f30e73cdc trying circleci 2023-09-03 09:30:31 -06:00
Anson 21b359c756 ignore env file 2023-09-03 01:34:19 -06:00
Anson 2ed995393b refactor telegram bot to use docker compose 2023-09-03 01:29:10 -06:00
Anson 68eca88034 Accidentally pushed stuff I shouldnt have. This is why I need tests and to stop pushing to master 2023-04-11 07:33:00 -06:00
Anson 19e3813e57 Merge branch 'master' of gitlab.com:simple-stock-bots/simple-telegram-stock-bot 2023-04-11 07:28:08 -06:00
Anson 3bcb7d0743 Accidentally pushed stuff I shouldnt have. This is why I need tests and to stop pushing to master 2023-04-11 07:27:31 -06:00
Anson 0cc47c5a5f some message types were causing an error and flooding the logs 2023-04-11 06:51:18 -06:00
Anson 85ff7b7452 Merge branch '89-intra-command-not-working-for-marketdata' into 'master'
Resolve "`/intra` command not working for marketdata"

Closes #89

See merge request simple-stock-bots/simple-telegram-stock-bot!47
2023-04-11 05:21:29 +00:00
Anson 14f461424e Resolve "/intra command not working for marketdata" 2023-04-11 05:21:29 +00:00
Anson 845c929311 Merge branch '97-update-bot-to-use-market-data-affiliate-link' into 'master'
Resolve "Update bot to use market data affiliate link"

Closes #97

See merge request simple-stock-bots/simple-telegram-stock-bot!46
2023-04-11 00:43:28 +00:00
Anson ed7c9f423a Resolve "Update bot to use market data affiliate link" 2023-04-11 00:43:28 +00:00
Anson bf37d4f0ea Merge branch '94-update-bot-text-and-documentation' into 'master'
Resolve "Update Bot text and documentation"

Closes #94

See merge request simple-stock-bots/simple-telegram-stock-bot!44
2023-04-09 19:57:49 +00:00
Anson a2fe7cdffc Resolve "Update Bot text and documentation" 2023-04-09 19:57:49 +00:00
52 changed files with 2333 additions and 1430 deletions
+5 -20
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@@ -1,20 +1,5 @@
FROM python:3.11-buster AS builder FROM python:3.11
COPY . .
COPY requirements.txt /requirements.txt
RUN pip install --user -r requirements.txt # RUN pip install -r requirements.txt
FROM python:3.11-slim
ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local
RUN pip install --no-cache-dir black
ENV TELEGRAM=TOKEN
ENV MARKETDATA=TOKEN
COPY . .
# CMD [ "python", "./bot.py" ]
+38 -25
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@@ -1,26 +1,39 @@
// For format details, see https://aka.ms/devcontainer.json. For config options, see the README at: // For format details, see https://aka.ms/devcontainer.json. For config options, see the
// https://github.com/microsoft/vscode-dev-containers/tree/v0.191.0/containers/docker-existing-dockerfile // README at: https://github.com/devcontainers/templates/tree/main/src/python
{ {
"name": "DockerDev", "name": "Python 3",
// Sets the run context to one level up instead of the .devcontainer folder. // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
"context": "..", // "image": "mcr.microsoft.com/devcontainers/python:1-3-bookworm",
// Update the 'dockerFile' property if you aren't using the standard 'Dockerfile' filename. "build": {
"dockerFile": "Dockerfile", "dockerfile": "Dockerfile"
// Set *default* container specific settings.json values on container create. },
"settings": {}, "features": {
// Add the IDs of extensions you want installed when the container is created. "ghcr.io/devcontainers-contrib/features/black:2": {},
"extensions": [ "ghcr.io/devcontainers-contrib/features/mypy:2": {},
"ms-python.python", "ghcr.io/devcontainers-contrib/features/pylint:2": {},
"ms-azuretools.vscode-docker" "ghcr.io/devcontainers/features/docker-in-docker": {}
] },
// Use 'forwardPorts' to make a list of ports inside the container available locally. "customizations": {
// "forwardPorts": [], "vscode": {
// Uncomment the next line to run commands after the container is created - for example installing curl. "extensions": [
// "postCreateCommand": "apt-get update && apt-get install -y curl", "ms-python.python",
// Uncomment when using a ptrace-based debugger like C++, Go, and Rust "ms-python.black-formatter",
// "runArgs": [ "--cap-add=SYS_PTRACE", "--security-opt", "seccomp=unconfined" ], "ms-python.flake8",
// Uncomment to use the Docker CLI from inside the container. See https://aka.ms/vscode-remote/samples/docker-from-docker. "ms-python.vscode-pylance",
// "mounts": [ "source=/var/run/docker.sock,target=/var/run/docker.sock,type=bind" ], "ms-python.isort",
// Uncomment to connect as a non-root user if you've added one. See https://aka.ms/vscode-remote/containers/non-root. "charliermarsh.ruff"
// "remoteUser": "vscode" ]
}
},
"postCreateCommand": "pip3 install --user -r dev-reqs.txt"
// Features to add to the dev container. More info: https://containers.dev/features.
// "features": {},
// Use 'forwardPorts' to make a list of ports inside the container available locally.
// "forwardPorts": [],
// Use 'postCreateCommand' to run commands after the container is created.
// "postCreateCommand": "pip3 install --user -r requirements.txt",
// Configure tool-specific properties.
// "customizations": {},
// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
// "remoteUser": "root"
} }
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+2 -1
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@@ -1 +1,2 @@
__pycache__ __pycache__
.env
+24 -34
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@@ -1,34 +1,24 @@
black: stages:
stage: .pre - lint
image: registry.gitlab.com/pipeline-components/black:latest - build
script: - build_site
- black --check --verbose -- . - deploy
- deploy_site
build:master: black:
stage: build stage: lint
image: image: registry.gitlab.com/pipeline-components/black:latest
name: gcr.io/kaniko-project/executor:v1.9.0-debug script:
entrypoint: [""] - black --check --verbose -- .
script:
- /kaniko/executor ruff:
--context "${CI_PROJECT_DIR}" stage: lint
--dockerfile "${CI_PROJECT_DIR}/Dockerfile" # image: registry.gitlab.com/pipeline-components/ruff:latest
--destination "${CI_REGISTRY_IMAGE}:latest" image: python:3.11-slim
rules: script:
- if: '$CI_COMMIT_BRANCH == "master"' - pip3 install ruff
- ruff --output-format gitlab .
build:branch:
stage: build include:
image: - local: /site/.gitlab-ci.yml
name: gcr.io/kaniko-project/executor:v1.9.0-debug
entrypoint: [""]
script:
- /kaniko/executor
--context "${CI_PROJECT_DIR}"
--dockerfile "${CI_PROJECT_DIR}/Dockerfile"
--destination "${CI_REGISTRY_IMAGE}:${CI_COMMIT_SHORT_SHA}"
--destination "${CI_REGISTRY_IMAGE}:${CI_COMMIT_BRANCH}"
rules:
- if: '$CI_COMMIT_BRANCH != "master"'
-12
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@@ -1,12 +0,0 @@
{
"configurations": [
{
"name": "Telegram Bot",
"type": "python",
"request": "launch",
"program": "bot.py",
"console": "integratedTerminal",
"python": "python3.11"
}
]
}
+7 -4
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@@ -1,5 +1,8 @@
{ {
"python.formatting.provider": "black", "editor.formatOnSave": true,
"python.linting.mypyEnabled": true, "editor.formatOnPaste": true,
"python.linting.flake8Enabled": true, "editor.formatOnSaveMode": "modificationsIfAvailable",
"[python]": {
"editor.defaultFormatter": "ms-python.black-formatter",
}
} }
+21 -21
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@@ -1,21 +1,21 @@
MIT License MIT License
Copyright (c) 2019 Anson Biggs Copyright (c) 2019 Anson Biggs
Permission is hereby granted, free of charge, to any person obtaining a copy Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions: furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software. copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE. SOFTWARE.
+44 -32
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@@ -1,32 +1,44 @@
# Simple Telegram Stock Bot # Simple Stock Bots
[![Platform](https://img.shields.io/badge/platform-Telegram%20%7C%20Discord-blue.svg)](https://t.me/SimpleStockBot)
[![Platform](https://img.shields.io/badge/platform-Telegram-blue.svg)](https://t.me/SimpleStockBot) [![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE)
[![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE) [![Maintainer](https://img.shields.io/badge/Maintainer-Anson-blue)](https://ansonbiggs.com)
[![Author](https://img.shields.io/badge/Maintainer-Anson-blue)](https://ansonbiggs.com)
Enhance your group chats on Telegram and Discord with real-time stock and cryptocurrency insights. Simple Stock Bots deliver timely stock quotes, charts, and market trends directly to your chats, making financial discussions more engaging and informed.
## Docs
## Documentation
https://docs.simplestockbot.com/
Comprehensive documentation is available to help you understand the features and capabilities of Simple Stock Bots:
## Usage - [Official Documentation](https://docs.simplestockbot.com/)
- [Command Reference](https://docs.simplestockbot.com/commands/)
https://docs.simplestockbot.com/commands/
## Support the Project
## Donate
Simple Stock Bots is sustained entirely through donations, with an annual expense of about $420 for server and premium market data subscriptions from [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo).
Simple Stock Bot is run entirely on donations, and costs about $420 a year to run. All donations go directly towards paying for servers, and premium market data provided by [Market Data](https://www.marketdata.app/).
You can contribute by:
The best way to donate is through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) which accepts Paypal or Credit card. - Donating through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) (PayPal or Credit Card accepted).
- Using the `/donate` [command](commands.md#donate-amount-in-usd) on Telegram.
Alternatively, you can donate on Telegram with the `/donate` [command](commands.md#donate-amount-in-usd). - [Getting in touch](contact.md) for any inquiries or suggestions.
If you have any questions get in [touch.](contact.md) ### Additional Support:
## Other Ways to Help: - Follow on [Twitter](https://twitter.com/AnsonBiggs)
- Contribute or star the project on [GitLab](https://gitlab.com/simple-stock-bots)
- Follow me on [twitter](https://twitter.com/AnsonBiggs) - Utilize referral links for self-hosting:
- Contribute to the project on [GitLab](https://gitlab.com/simple-stock-bots) or just leave a star - [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
- Using my referral links to host your own Bot - [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web)
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
- [Market Data](https://www.marketdata.app/) ## Hosting
Self-hosting instructions are provided for those interested in running the bot on their own servers:
- [Hosting Guide](https://docs.simplestockbot.com/hosting/)
## Contact
Reach out for bug reports, feature requests, or other inquiries:
- [Contact Page](https://docs.simplestockbot.com/contact/)
---
Your support in any form is immensely appreciated and ensures the continuous improvement and availability of Simple Stock Bots for everyone.
-68
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@@ -1,68 +0,0 @@
"""Functions and Info specific to the Telegram Bot
"""
import re
import requests as r
class T_info:
license = re.sub(
r"\b\n",
" ",
r.get("https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot/-/raw/master/LICENSE").text,
)
help_text = """
Thanks for using this bot, consider supporting it by [buying me a beer.](https://www.buymeacoffee.com/Anson)
Keep up with the latest news for the bot in its Telegram Channel: 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)
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.
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.
**Commands**
- `/donate [amount in USD]` to donate. 🎗️
- `/intra $[symbol]` Plot of the stocks movement since the last market open. 📈
- `/chart $[symbol]` Plot of the stocks movement for the past 1 month. 📊
- `/trending` Trending Stocks and Cryptos. 💬
- `/help` Get some help using the bot. 🆘
**Inline Features**
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.
Market data is provided by [Market Data](https://www.marketdata.app/)
If you believe the bot is not behaving properly run `/status` or [get in touch](https://docs.simplestockbot.com/contact).
"""
donate_text = """
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
[Market Data](https://www.marketdata.app/).
The easiest way to donate is to run the `/donate [amount in USD]` command with US dollars you would like to donate.
Example: `/donate 2` would donate 2 USD.
An alternative way to donate is through https://www.buymeacoffee.com/Anson which requires no account and accepts Paypal or Credit card.
If you have any questions see the [website](https:docs.simplestockbot.com)
"""
commands = """
donate - Donate to the bot 🎗️
help - Get some help using the bot. 🆘
info - $[symbol] General information about the symbol.
news - $[symbol] News about the symbol. 📰
stat - $[symbol] Key statistics about the symbol. 🔢
cap - $[symbol] Market Capitalization of symbol. 💰
dividend - $[symbol] Dividend info 📅
trending - Trending Stocks and Cryptos. 💬
intra - $[symbol] Plot since the last market open. 📈
chart - $[chart] Plot of the past month. 📊
""" # Not used by the bot but for updaing commands with BotFather
+269 -249
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@@ -1,249 +1,269 @@
import logging import datetime as dt
import os import logging
import datetime as dt import os
from typing import Dict from typing import Dict
import pandas as pd import pandas as pd
import requests as r import pytz
import schedule import requests as r
import schedule
from Symbol import Stock
from common.Symbol import Stock
log = logging.getLogger(__name__)
log = logging.getLogger(__name__)
class MarketData:
""" class MarketData:
Functions for finding stock market information about symbols from MarkData.app """
""" Functions for finding stock market information about symbols from MarkData.app
"""
SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})"
SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})"
charts: Dict[Stock, pd.DataFrame] = {}
charts: Dict[Stock, pd.DataFrame] = {}
def __init__(self) -> None:
"""Creates a Symbol Object openTime = dt.time(hour=9, minute=30, second=0)
marketTimeZone = pytz.timezone("US/Eastern")
Parameters
---------- def __init__(self) -> None:
MARKETDATA_TOKEN : str """Creates a Symbol Object
MarketData.app API Token
""" Parameters
try: ----------
self.MARKETDATA_TOKEN = os.environ["MARKETDATA"] MARKETDATA_TOKEN : str
MarketData.app API Token
if self.MARKETDATA_TOKEN == "TOKEN": """
self.MARKETDATA_TOKEN = ""
except KeyError: try:
self.MARKETDATA_TOKEN = "" self.MARKETDATA_TOKEN = os.environ["MARKETDATA"]
log.warning("Starting without an MarketData.app Token will not allow you to get market data!")
if self.MARKETDATA_TOKEN == "TOKEN":
if self.MARKETDATA_TOKEN != "": self.MARKETDATA_TOKEN = ""
schedule.every().day.do(self.clear_charts) except KeyError:
self.MARKETDATA_TOKEN = ""
def get(self, endpoint, params: dict = {}, timeout=10) -> dict: log.warning("Starting without an MarketData.app Token will not allow you to get market data!")
url = "https://api.marketdata.app/v1/" + endpoint log.warning("Use this affiliate link so that the bot can stay free:")
log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo")
# set token param if it wasn't passed.
params["token"] = params.get("token", self.MARKETDATA_TOKEN) if self.MARKETDATA_TOKEN != "":
schedule.every().day.do(self.clear_charts)
resp = r.get(url, params=params, timeout=timeout)
def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
# Make sure API returned a proper status code url = "https://api.marketdata.app/v1/" + endpoint
try:
resp.raise_for_status() # set token param if it wasn't passed.
except r.exceptions.HTTPError as e: params["token"] = self.MARKETDATA_TOKEN
logging.error(e)
return {} # Undocumented query variable that ensures bot usage can be
# monitored even if someone doesn't make it through an affiliate link.
# Make sure API returned valid JSON params["application"] = "simplestockbot"
try:
resp_json = resp.json() resp = r.get(url, params=params, timeout=timeout)
match resp_json["s"]: # Make sure API returned a proper status code
case "ok": try:
return resp_json resp.raise_for_status()
case "no_data": except r.exceptions.HTTPError as e:
return resp_json logging.error(e)
case "error": return {}
logging.error("MarketData Error:\n" + resp_json["errmsg"])
return {} # Make sure API returned valid JSON
try:
except r.exceptions.JSONDecodeError as e: resp_json = resp.json()
logging.error(e)
match resp_json["s"]:
return {} case "ok":
return resp_json
def clear_charts(self) -> None: case "no_data":
""" return resp_json
Clears cache of chart data. case "error":
Charts are cached so that only 1 API call per 24 hours is needed since the logging.error("MarketData Error:\n" + resp_json["errmsg"])
chart data is expensive and a large download. return {}
"""
self.charts = {} except r.exceptions.JSONDecodeError as e:
logging.error(e)
def status(self) -> str:
# TODO: At the moment this API is poorly documented, this function likely needs to be revisited later. return {}
try: def clear_charts(self) -> None:
status = r.get( """
"https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A", Clears cache of chart data.
timeout=5, Charts are cached so that only 1 API call per 24 hours is needed since the
) chart data is expensive and a large download.
status.raise_for_status() """
except r.HTTPError: self.charts = {}
return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} Seconds."
except r.Timeout: def status(self) -> str:
return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage." # TODO: At the moment this API is poorly documented, this function likely needs to be revisited later.
statusJSON = status.json() try:
status = r.get(
if statusJSON["status"] == "ok": "https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A",
return ( timeout=5,
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds." )
) status.raise_for_status()
else: except r.HTTPError:
return f"MarketData.app is currently reporting the following status: {statusJSON['status']}" return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
except r.Timeout:
def price_reply(self, symbol: Stock) -> str: return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage."
"""Returns price movement of Stock for the last market day, or after hours.
statusJSON = status.json()
Parameters
---------- if statusJSON["status"] == "ok":
symbol : Stock return (
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
Returns )
------- else:
str return f"MarketData.app is currently reporting the following status: {statusJSON['status']}"
Formatted markdown
""" def price_reply(self, symbol: Stock) -> str:
"""Returns price movement of Stock for the last market day, or after hours.
if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
price = round(quoteResp["last"][0], 2) Parameters
changePercent = round(quoteResp["changepct"][0], 2) ----------
symbol : Stock
message = f"The current price of {symbol.name} is ${price} and "
Returns
if changePercent > 0.0: -------
message += f"is currently up {changePercent}% for the day." str
elif changePercent < 0.0: Formatted markdown
message += f"is currently down {changePercent}% for the day." """
else:
message += "hasn't shown any movement for the day." if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
price = round(quoteResp["last"][0], 2)
return message
else: try:
return f"Getting a quote for {symbol} encountered an error." changePercent = round(quoteResp["changepct"][0], 2)
except TypeError:
def spark_reply(self, symbol: Stock) -> str: return f"The price of {symbol} is {price}"
if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
changePercent = round(quoteResp["changepct"][0], 2) message = f"The current price of {symbol.name} is ${price} and "
return f"`{symbol.tag}`: {changePercent}%"
else: if changePercent > 0.0:
logging.warning(f"{symbol} did not have 'changepct' field.") message += f"is currently up {changePercent}% for the day."
return f"`{symbol.tag}`" elif changePercent < 0.0:
message += f"is currently down {changePercent}% for the day."
def intra_reply(self, symbol: Stock) -> pd.DataFrame: else:
"""Returns price data for a symbol of the past month up until the previous trading days close. message += "hasn't shown any movement for the day."
Also caches multiple requests made in the same day.
return message
Parameters else:
---------- return f"Getting a quote for {symbol} encountered an error."
symbol : str
Stock symbol. def spark_reply(self, symbol: Stock) -> str:
if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
Returns try:
------- changePercent = round(quoteResp["changepct"][0], 2)
pd.DataFrame return f"`{symbol.tag}`: {changePercent}%"
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. except TypeError:
""" pass
schedule.run_pending()
return f"`{symbol.tag}`"
try:
return self.charts[symbol.id.upper()] def intra_reply(self, symbol: Stock) -> pd.DataFrame:
except KeyError: """Returns price data for a symbol of the past month up until the previous trading days close.
pass Also caches multiple requests made in the same day.
resolution = "5" # minutes Parameters
----------
if data := self.get( symbol : str
f"stocks/candles/{resolution}/{symbol}", Stock symbol.
params={
"from": dt.datetime.now().strftime("%Y-%m-%d"), Returns
"to": dt.datetime.now().isoformat(), -------
}, pd.DataFrame
): Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
data.pop("s") """
df = pd.DataFrame(data) schedule.run_pending()
df["t"] = pd.to_datetime(df["t"], unit="s")
df.set_index("t", inplace=True) try:
return self.charts[symbol.id.upper()]
df.rename( except KeyError:
columns={ pass
"o": "Open",
"h": "High", resolution = "15" # minutes
"l": "Low", now = dt.datetime.now(self.marketTimeZone)
"c": "Close",
"v": "Volume", if self.openTime < now.time():
}, startTime = now.replace(hour=9, minute=30)
inplace=True, else:
) startTime = now - dt.timedelta(days=1)
self.charts[symbol.id.upper()] = df if data := self.get(
return df f"stocks/candles/{resolution}/{symbol}",
params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True},
return pd.DataFrame() ):
data.pop("s")
def chart_reply(self, symbol: Stock) -> pd.DataFrame: df = pd.DataFrame(data)
"""Returns price data for a symbol of the past month up until the previous trading days close. df["t"] = pd.to_datetime(df["t"], unit="s", utc=True)
Also caches multiple requests made in the same day. df.set_index("t", inplace=True)
Parameters df.rename(
---------- columns={
symbol : str "o": "Open",
Stock symbol. "h": "High",
"l": "Low",
Returns "c": "Close",
------- "v": "Volume",
pd.DataFrame },
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. inplace=True,
""" )
schedule.run_pending()
self.charts[symbol.id.upper()] = df
try: return df
return self.charts[symbol.id.upper()]
except KeyError: return pd.DataFrame()
pass
def chart_reply(self, symbol: Stock) -> pd.DataFrame:
to_date = dt.datetime.today().strftime("%Y-%m-%d") """Returns price data for a symbol of the past month up until the previous trading days close.
from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d") Also caches multiple requests made in the same day.
resultion = "daily"
Parameters
if data := self.get( ----------
f"stocks/candles/{resultion}/{symbol}", symbol : str
params={ Stock symbol.
"from": from_date,
"to": to_date, Returns
}, -------
): pd.DataFrame
data.pop("s") Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
"""
df = pd.DataFrame(data) schedule.run_pending()
df["t"] = pd.to_datetime(df["t"], unit="s")
df.set_index("t", inplace=True) try:
return self.charts[symbol.id.upper()]
df.rename( except KeyError:
columns={ pass
"o": "Open",
"h": "High", to_date = dt.datetime.today().strftime("%Y-%m-%d")
"l": "Low", from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d")
"c": "Close", resultion = "daily"
"v": "Volume",
}, if data := self.get(
inplace=True, f"stocks/candles/{resultion}/{symbol}",
) params={
"from": from_date,
self.charts[symbol.id.upper()] = df "to": to_date,
return df },
):
return pd.DataFrame() 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()
+50 -50
View File
@@ -1,50 +1,50 @@
import pandas as pd import pandas as pd
import logging import logging
class Symbol: class Symbol:
""" """
symbol: What the user calls it. ie tsla or btc symbol: What the user calls it. ie tsla or btc
id: What the api expects. ie tsla or bitcoin id: What the api expects. ie tsla or bitcoin
name: Human readable. ie Tesla or Bitcoin name: Human readable. ie Tesla or Bitcoin
tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC
""" """
currency = "usd" currency = "usd"
pass pass
def __init__(self, symbol) -> None: def __init__(self, symbol) -> None:
self.symbol = symbol self.symbol = symbol
self.id = symbol self.id = symbol
self.name = symbol self.name = symbol
self.tag = "$" + symbol self.tag = "$" + symbol
def __repr__(self) -> str: def __repr__(self) -> str:
return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>" return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>"
def __str__(self) -> str: def __str__(self) -> str:
return self.id return self.id
class Stock(Symbol): class Stock(Symbol):
"""Stock Market Object. Gets data from MarketData""" """Stock Market Object. Gets data from MarketData"""
def __init__(self, symbol: str) -> None: def __init__(self, symbol: str) -> None:
self.symbol = symbol self.symbol = symbol
self.id = symbol self.id = symbol
self.name = "$" + symbol.upper() self.name = "$" + symbol.upper()
self.tag = "$" + symbol.lower() self.tag = "$" + symbol.lower()
class Coin(Symbol): class Coin(Symbol):
"""Cryptocurrency Object. Gets data from CoinGecko.""" """Cryptocurrency Object. Gets data from CoinGecko."""
def __init__(self, symbol: pd.DataFrame) -> None: def __init__(self, symbol: pd.DataFrame) -> None:
if len(symbol) > 1: if len(symbol) > 1:
logging.info(f"Crypto with shared id:\n\t{symbol.id}") logging.info(f"Crypto with shared id:\n\t{symbol.id}")
symbol = symbol.head(1) symbol = symbol.head(1)
self.symbol = symbol.symbol.values[0] self.symbol = symbol.symbol.values[0]
self.id = symbol.id.values[0] self.id = symbol.id.values[0]
self.name = symbol.name.values[0] self.name = symbol.name.values[0]
self.tag = symbol.type_id.values[0].upper() self.tag = symbol.type_id.values[0].upper()
+3 -3
View File
@@ -6,7 +6,7 @@ import requests as r
import schedule import schedule
from markdownify import markdownify from markdownify import markdownify
from Symbol import Coin from common.Symbol import Coin
log = logging.getLogger(__name__) log = logging.getLogger(__name__)
@@ -77,10 +77,10 @@ class cg_Crypto:
try: try:
status.raise_for_status() status.raise_for_status()
return ( return (
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds." f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
) )
except r.HTTPError: except r.HTTPError:
return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} Seconds." return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
def price_reply(self, coin: Coin) -> str: def price_reply(self, coin: Coin) -> str:
"""Returns current market price or after hours if its available for a given coin symbol. """Returns current market price or after hours if its available for a given coin symbol.
+6
View File
@@ -0,0 +1,6 @@
requests==2.31.0
pandas==2.1.1
schedule==1.2.1
mplfinance==0.12.10b0
markdownify==0.11.6
cachetools==5.3.1
+395 -393
View File
@@ -1,393 +1,395 @@
"""Function that routes symbols to the correct API provider. """Function that routes symbols to the correct API provider.
""" """
import datetime import datetime
import logging import logging
import random import random
import re import re
import pandas as pd import pandas as pd
import schedule import schedule
from cachetools import TTLCache, cached from cachetools import TTLCache, cached
from cg_Crypto import cg_Crypto from common.cg_Crypto import cg_Crypto
from MarketData import MarketData from common.MarketData import MarketData
from Symbol import Coin, Stock, Symbol from common.Symbol import Coin, Stock, Symbol
from typing import Dict from typing import Dict
log = logging.getLogger(__name__) log = logging.getLogger(__name__)
class Router: class Router:
STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})" STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})"
CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})" CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})"
trending_count: Dict[str, float] = {} trending_count: Dict[str, float] = {}
def __init__(self): def __init__(self):
self.stock = MarketData() self.stock = MarketData()
self.crypto = cg_Crypto() self.crypto = cg_Crypto()
schedule.every().hour.do(self.trending_decay) schedule.every().hour.do(self.trending_decay)
def trending_decay(self, decay=0.5): def trending_decay(self, decay=0.5):
"""Decays the value of each trending stock by a multiplier""" """Decays the value of each trending stock by a multiplier"""
t_copy = {} t_copy = {}
dead_keys = [] dead_keys = []
if self.trending_count: if self.trending_count:
t_copy = self.trending_count.copy() t_copy = self.trending_count.copy()
for key in t_copy.keys(): for key in t_copy.keys():
if t_copy[key] < 0.01: if t_copy[key] < 0.01:
# This just makes sure were not keeping around keys that havent been called in a very long time. # This just makes sure were not keeping around keys that havent been called in a very long time.
dead_keys.append(key) dead_keys.append(key)
else: else:
t_copy[key] = t_copy[key] * decay t_copy[key] = t_copy[key] * decay
for dead in dead_keys: for dead in dead_keys:
t_copy.pop(dead) t_copy.pop(dead)
self.trending_count = t_copy.copy() self.trending_count = t_copy.copy()
log.info("Decayed trending symbols.") log.info("Decayed trending symbols.")
def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Symbol]: def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Symbol]:
"""Finds stock tickers starting with a dollar sign, and cryptocurrencies with two dollar signs """Finds stock tickers starting with a dollar sign, and cryptocurrencies with two dollar signs
in a blob of text and returns them in a list. in a blob of text and returns them in a list.
Parameters Parameters
---------- ----------
text : str text : str
Blob of text. Blob of text.
Returns Returns
------- -------
list[Symbol] list[Symbol]
List of stock symbols as Symbol objects List of stock symbols as Symbol objects
""" """
schedule.run_pending() schedule.run_pending()
symbols: list[Symbol] = [] symbols: list[Symbol] = []
stocks = set(re.findall(self.STOCK_REGEX, text)) stocks = set(re.findall(self.STOCK_REGEX, text))
for stock in stocks: for stock in stocks:
# Market data lacks tools to check if a symbol is valid. # Market data lacks tools to check if a symbol is valid.
symbols.append(Stock(stock)) symbols.append(Stock(stock))
coins = set(re.findall(self.CRYPTO_REGEX, text)) coins = set(re.findall(self.CRYPTO_REGEX, text))
for coin in coins: for coin in coins:
sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin.lower(), case=False)] sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin.lower(), case=False)]
if sym.empty: if sym.empty:
log.info(f"{coin} is not in list of coins") log.info(f"{coin} is not in list of coins")
else: else:
symbols.append(Coin(sym)) symbols.append(Coin(sym))
if symbols: if symbols:
for symbol in symbols: for symbol in symbols:
self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight
log.warning(self.trending_count) log.debug(self.trending_count)
return symbols return symbols
def status(self, bot_resp) -> str: def status(self, bot_resp) -> str:
"""Checks for any issues with APIs. """Checks for any issues with APIs.
Returns Returns
------- -------
str str
Human readable text on status of the bot and relevant APIs Human readable text on status of the bot and relevant APIs
""" """
stats = f""" stats = f"""
Bot Status: Bot Status:
{bot_resp} {bot_resp}
Stock Market Data: Stock Market Data:
{self.stock.status()} {self.stock.status()}
Cryptocurrency Data: Cryptocurrency Data:
{self.crypto.status()} {self.crypto.status()}
""" """
log.warning(stats) log.warning(stats)
return stats return stats
def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame: def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame:
"""Searches based on the shortest symbol that contains the same string as the search. """Searches based on the shortest symbol that contains the same string as the search.
Should be very fast compared to a fuzzy search. Should be very fast compared to a fuzzy search.
Parameters Parameters
---------- ----------
search : str search : str
String used to match against symbols. String used to match against symbols.
Returns Returns
------- -------
list[tuple[str, str]] list[tuple[str, str]]
Each tuple contains: (Symbol, Issue Name). Each tuple contains: (Symbol, Issue Name).
""" """
df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list]) # df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list])
df = self.crypto.symbol_list
df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values(
by="type_id", key=lambda x: x.str.len() df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values(
) by="type_id", key=lambda x: x.str.len()
)
symbols = df.head(matches)
symbols["price_reply"] = symbols["type_id"].apply( symbols = df.head(matches)
lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0] symbols["price_reply"] = symbols["type_id"].apply(
) lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0]
)
return symbols
return symbols
def price_reply(self, symbols: list[Symbol]) -> list[str]:
"""Returns current market price or after hours if its available for a given stock symbol. def price_reply(self, symbols: list[Symbol]) -> list[str]:
"""Returns current market price or after hours if its available for a given stock symbol.
Parameters
---------- Parameters
symbols : list ----------
List of stock symbols. symbols : list
List of stock symbols.
Returns
------- Returns
Dict[str, str] -------
Each symbol passed in is a key with its value being a human readable Dict[str, str]
markdown formatted string of the symbols price and movement. Each symbol passed in is a key with its value being a human readable
""" markdown formatted string of the symbols price and movement.
replies = [] """
replies = []
for symbol in symbols:
log.info(symbol) for symbol in symbols:
if isinstance(symbol, Stock): log.info(symbol)
replies.append(self.stock.price_reply(symbol)) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): replies.append(self.stock.price_reply(symbol))
replies.append(self.crypto.price_reply(symbol)) elif isinstance(symbol, Coin):
else: replies.append(self.crypto.price_reply(symbol))
log.info(f"{symbol} is not a Stock or Coin") else:
log.info(f"{symbol} is not a Stock or Coin")
return replies
return replies
def info_reply(self, symbols: list) -> list[str]:
"""Gets information on stock symbols. def info_reply(self, symbols: list) -> list[str]:
"""Gets information on stock symbols.
Parameters
---------- Parameters
symbols : list[str] ----------
List of stock symbols. symbols : list[str]
List of stock symbols.
Returns
------- Returns
Dict[str, str] -------
Each symbol passed in is a key with its value being a human readable formatted Dict[str, str]
string of the symbols information. Each symbol passed in is a key with its value being a human readable formatted
""" string of the symbols information.
replies = [] """
replies = []
for symbol in symbols:
if isinstance(symbol, Stock): for symbol in symbols:
replies.append(self.stock.info_reply(symbol)) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): replies.append(self.stock.info_reply(symbol))
replies.append(self.crypto.info_reply(symbol)) elif isinstance(symbol, Coin):
else: replies.append(self.crypto.info_reply(symbol))
log.debug(f"{symbol} is not a Stock or Coin") else:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
return replies
def intra_reply(self, symbol: Symbol) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open. def intra_reply(self, symbol: Symbol) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open.
Parameters
---------- Parameters
symbol : str ----------
Stock symbol. symbol : str
Stock symbol.
Returns
------- Returns
pd.DataFrame -------
Returns a timeseries dataframe with high, low, and volume data if its available. pd.DataFrame
Otherwise returns empty pd.DataFrame. Returns a timeseries dataframe with high, low, and volume data if its available.
""" Otherwise returns empty pd.DataFrame.
"""
if isinstance(symbol, Stock):
return self.stock.intra_reply(symbol) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): return self.stock.intra_reply(symbol)
return self.crypto.intra_reply(symbol) elif isinstance(symbol, Coin):
else: return self.crypto.intra_reply(symbol)
log.debug(f"{symbol} is not a Stock or Coin") else:
return pd.DataFrame() log.debug(f"{symbol} is not a Stock or Coin")
return pd.DataFrame()
def chart_reply(self, symbol: Symbol) -> pd.DataFrame:
"""Returns price data for a symbol of the past month up until the previous trading days close. def chart_reply(self, symbol: Symbol) -> pd.DataFrame:
Also caches multiple requests made in the same day. """Returns price data for a symbol of the past month up until the previous trading days close.
Also caches multiple requests made in the same day.
Parameters
---------- Parameters
symbol : str ----------
Stock symbol. symbol : str
Stock symbol.
Returns
------- Returns
pd.DataFrame -------
Returns a timeseries dataframe with high, low, and volume data if its available. pd.DataFrame
Otherwise returns empty pd.DataFrame. Returns a timeseries dataframe with high, low, and volume data if its available.
""" Otherwise returns empty pd.DataFrame.
if isinstance(symbol, Stock): """
return self.stock.chart_reply(symbol) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): return self.stock.chart_reply(symbol)
return self.crypto.chart_reply(symbol) elif isinstance(symbol, Coin):
else: return self.crypto.chart_reply(symbol)
log.debug(f"{symbol} is not a Stock or Coin") else:
return pd.DataFrame() log.debug(f"{symbol} is not a Stock or Coin")
return pd.DataFrame()
def stat_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets key statistics for each symbol in the list def stat_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets key statistics for each symbol in the list
Parameters
---------- Parameters
symbols : list[str] ----------
List of stock symbols symbols : list[str]
List of stock symbols
Returns
------- Returns
Dict[str, str] -------
Each symbol passed in is a key with its value being a human readable Dict[str, str]
formatted string of the symbols statistics. Each symbol passed in is a key with its value being a human readable
""" formatted string of the symbols statistics.
replies = [] """
replies = []
for symbol in symbols:
if isinstance(symbol, Stock): for symbol in symbols:
replies.append(self.stock.stat_reply(symbol)) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): replies.append(self.stock.stat_reply(symbol))
replies.append(self.crypto.stat_reply(symbol)) elif isinstance(symbol, Coin):
else: replies.append(self.crypto.stat_reply(symbol))
log.debug(f"{symbol} is not a Stock or Coin") else:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
return replies
def cap_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets market cap for each symbol in the list def cap_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets market cap for each symbol in the list
Parameters
---------- Parameters
symbols : list[str] ----------
List of stock symbols symbols : list[str]
List of stock symbols
Returns
------- Returns
Dict[str, str] -------
Each symbol passed in is a key with its value being a human readable Dict[str, str]
formatted string of the symbols market cap. Each symbol passed in is a key with its value being a human readable
""" formatted string of the symbols market cap.
replies = [] """
replies = []
for symbol in symbols:
if isinstance(symbol, Stock): for symbol in symbols:
replies.append(self.stock.cap_reply(symbol)) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): replies.append(self.stock.cap_reply(symbol))
replies.append(self.crypto.cap_reply(symbol)) elif isinstance(symbol, Coin):
else: replies.append(self.crypto.cap_reply(symbol))
log.debug(f"{symbol} is not a Stock or Coin") else:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
return replies
def spark_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets change for each symbol and returns it in a compact format def spark_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets change for each symbol and returns it in a compact format
Parameters
---------- Parameters
symbols : list[str] ----------
List of stock symbols symbols : list[str]
List of stock symbols
Returns
------- Returns
list[str] -------
List of human readable strings. list[str]
""" List of human readable strings.
replies = [] """
replies = []
for symbol in symbols:
if isinstance(symbol, Stock): for symbol in symbols:
replies.append(self.stock.spark_reply(symbol)) if isinstance(symbol, Stock):
elif isinstance(symbol, Coin): replies.append(self.stock.spark_reply(symbol))
replies.append(self.crypto.spark_reply(symbol)) elif isinstance(symbol, Coin):
else: replies.append(self.crypto.spark_reply(symbol))
log.debug(f"{symbol} is not a Stock or Coin") else:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
return replies
@cached(cache=TTLCache(maxsize=1024, ttl=600))
def trending(self) -> str: @cached(cache=TTLCache(maxsize=1024, ttl=600))
"""Checks APIs for trending symbols. def trending(self) -> str:
"""Checks APIs for trending symbols.
Returns
------- Returns
list[str] -------
List of preformatted strings to be sent to user. list[str]
""" List of preformatted strings to be sent to user.
"""
# stocks = self.stock.trending()
coins = self.crypto.trending() # stocks = self.stock.trending()
coins = self.crypto.trending()
reply = ""
reply = ""
log.warning(self.trending_count)
if self.trending_count: log.warning(self.trending_count)
reply += "🔥Trending on the Stock Bot:\n`" if self.trending_count:
reply += "" * len("Trending on the Stock Bot:") + "`\n" reply += "🔥Trending on the Stock Bot:\n`"
reply += "" * len("Trending on the Stock Bot:") + "`\n"
sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5]
log.warning(sorted_trending) sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5]
for t in sorted_trending: log.warning(sorted_trending)
reply += self.spark_reply(self.find_symbols(t))[0] + "\n" for t in sorted_trending:
reply += self.spark_reply(self.find_symbols(t))[0] + "\n"
if coins:
reply += "\n\n🦎Trending Crypto:\n`" if coins:
reply += "" * len("Trending Crypto:") + "`\n" reply += "\n\n🦎Trending on CoinGecko:\n`"
for coin in coins: reply += "" * len("Trending on CoinGecko:") + "`\n"
reply += coin + "\n" for coin in coins:
reply += coin + "\n"
if "`$GME" in reply:
reply = reply.replace("🔥", "🦍") if "`$GME" in reply:
reply = reply.replace("🔥", "🦍")
if reply:
return reply if reply:
else: return reply
log.warning("Failed to collect trending data.") else:
return "Trending data is not currently available." log.warning("Failed to collect trending data.")
return "Trending data is not currently available."
def random_pick(self) -> str:
choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"])) def random_pick(self) -> str:
hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y") # choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"]))
choice = random.choice(list(self.crypto.symbol_list["description"]))
return f"{choice}\nBuy and hold until: {hold}" hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y")
def batch_price_reply(self, symbols: list[Symbol]) -> list[str]: return f"{choice}\nBuy and hold until: {hold}"
"""Returns current market price or after hours if its available for a given stock symbol.
def batch_price_reply(self, symbols: list[Symbol]) -> list[str]:
Parameters """Returns current market price or after hours if its available for a given stock symbol.
----------
symbols : list Parameters
List of stock symbols. ----------
symbols : list
Returns List of stock symbols.
-------
Dict[str, str] Returns
Each symbol passed in is a key with its value being a human readable -------
markdown formatted string of the symbols price and movement. Dict[str, str]
""" Each symbol passed in is a key with its value being a human readable
replies = [] markdown formatted string of the symbols price and movement.
stocks = [] """
coins = [] replies = []
stocks = []
for symbol in symbols: coins = []
if isinstance(symbol, Stock):
stocks.append(symbol) for symbol in symbols:
elif isinstance(symbol, Coin): if isinstance(symbol, Stock):
coins.append(symbol) stocks.append(symbol)
else: elif isinstance(symbol, Coin):
log.debug(f"{symbol} is not a Stock or Coin") coins.append(symbol)
else:
if stocks: log.debug(f"{symbol} is not a Stock or Coin")
for stock in stocks:
replies.append(self.stock.price_reply(stock)) if stocks:
if coins: for stock in stocks:
replies = replies + self.crypto.batch_price(coins) replies.append(self.stock.price_reply(stock))
if coins:
return replies replies = replies + self.crypto.batch_price(coins)
return replies
+10 -7
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@@ -1,7 +1,10 @@
-r requirements.txt -r common/requirements.txt
black==23.3.0 -r docs/requirements.txt
flake8==5.0.4 black==23.7.0
Flake8-pyproject==1.2.3 flake8==6.1.0
pylama==8.4.1 Flake8-pyproject==1.2.3
mypy==1.2.0 pylama==8.4.1
types-cachetools==5.3.0.5 mypy==1.5.1
types-cachetools==5.3.0.6
types-pytz==2023.3.0.1
ruff==0.0.292
+59
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@@ -0,0 +1,59 @@
"""Functions and Info specific to the discord Bot
"""
import re
import requests as r
class D_info:
license = re.sub(
r"\b\n",
" ",
r.get("https://gitlab.com/simple-stock-bots/simple-discord-stock-bot/-/raw/master/LICENSE").text,
)
help_text = """
Thanks for using this bot. If you like it, [support me with a beer](https://www.buymeacoffee.com/Anson). 🍻
For stock data or hosting your own bot, use my link. This helps keep the bot free:
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
**Updates**: Join the bot's discord: https://t.me/simplestockbotnews.
**Documentation**: All details about the bot are at [docs](https://docs.simplestockbot.com).
The bot reads _"Symbols"_. Use `$` for stock tickers and `$$` for cryptocurrencies. For example:
- `/chart $$eth` gives Ethereum's monthly chart.
- `/dividend $psec` shows Prospect Capital's dividend.
Type any symbol, and the bot shows its price. Like: `Is $$btc rising since $tsla accepts it?` will give Bitcoin and Tesla prices.
**Commands**
- `/donate [USD amount]`: Support the bot. 🎗️
- `/intra $[symbol]`: See stock's latest movement. 📈
- `/chart $[symbol]`: View a month's stock activity. 📊
- `/trending`: Check trending stocks and cryptos. 💬
- `/help`: Need help? Ask here. 🆘
**Inline Features**
Type @SimpleStockBot `[search]` anywhere to find and get stock/crypto prices. Note: Prices might be delayed up to an hour.
Data from: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
Issues with the bot? Use `/status` or [contact us](https://docs.simplestockbot.com/contact).
"""
donate_text = """
Simple Stock Bot runs purely on [donations.](https://www.buymeacoffee.com/Anson)
Every donation supports server costs and
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) provides our data.
**How to Donate?**
1. Use `/donate [amount in USD]` command.
- E.g., `/donate 2` donates 2 USD.
2. Or, donate at [buymeacoffee](https://www.buymeacoffee.com/Anson).
- It's quick, doesn't need an account, and accepts Paypal or Credit card.
Questions? Visit our [website](https://docs.simplestockbot.com).
"""
+18 -16
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@@ -1,17 +1,19 @@
FROM python:3.11-buster AS builder FROM python:3.11-buster AS builder
COPY requirements.txt /requirements.txt COPY discord/discord-reqs.txt .
RUN pip install --user -r requirements.txt COPY common/requirements.txt .
RUN pip install --user -r discord-reqs.txt
FROM python:3.11-slim
ENV MPLBACKEND=Agg FROM python:3.11-slim
COPY --from=builder /root/.local /root/.local ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local
COPY . .
COPY common common
COPY discord .
CMD [ "python", "./bot.py" ] CMD [ "python", "./bot.py" ]
+202
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@@ -0,0 +1,202 @@
import datetime
import io
import logging
import os
import mplfinance as mpf
import nextcord
from nextcord.ext import commands
from D_info import D_info
from common.symbol_router import Router
DISCORD_TOKEN = os.environ["DISCORD"]
s = Router()
d = D_info()
intents = nextcord.Intents.default()
client = nextcord.Client(intents=intents)
bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents)
logger = logging.getLogger("nextcord")
logger.setLevel(logging.INFO)
handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w")
handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s"))
logger.addHandler(handler)
@bot.event
async def on_ready():
logging.info("Starting Simple Stock Bot")
logging.info(f"Logged in as {bot.user.name} {bot.user.id}")
@bot.command()
async def status(ctx: commands):
"""Debug command for diagnosing if the bot is experiencing any issues."""
logging.warning(f"Status command ran by {ctx.message.author}")
message = ""
try:
message = "Contact MisterBiggs#0465 if you need help.\n"
message += s.status(f"Bot recieved your message in: {bot.latency*10:.4f} seconds") + "\n"
except Exception as ex:
logging.critical(ex)
message += (
f"*\n\nERROR ENCOUNTERED:*\n{ex}\n\n"
+ "*The bot encountered an error while attempting to find errors. Please contact the bot admin.*"
)
await ctx.send(message)
@bot.command()
async def license(ctx: commands):
"""Returns the bots license agreement."""
await ctx.send(d.license)
@bot.command()
async def donate(ctx: commands):
"""Details on how to support the development and hosting of the bot."""
await ctx.send(d.donate_text)
@bot.command()
async def search(ctx: commands, *, query: str):
"""Search for a stock symbol using either symbol of company name."""
results = s.search_symbols(query)
if results:
reply = "*Search Results:*\n`$ticker: Company Name`\n"
for query in results:
reply += "`" + query[1] + "`\n"
await ctx.send(reply)
@bot.command()
async def crypto(ctx: commands, _: str):
"""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`")
@bot.command()
async def intra(ctx: commands, sym: str):
"""Get a chart for the stocks movement since market open."""
symbols = s.find_symbols(sym)
if len(symbols):
symbol = symbols[0]
else:
await ctx.send("No symbols or coins found.")
return
df = s.intra_reply(symbol)
if df.empty:
await ctx.send("Invalid symbol please see `/help` for usage details.")
return
with ctx.channel.typing():
buf = io.BytesIO()
mpf.plot(
df,
type="renko",
title=f"\n{symbol.name}",
volume="volume" in df.keys(),
style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
)
buf.seek(0)
# Get price so theres no request lag after the image is sent
price_reply = s.price_reply([symbol])[0]
await ctx.send(
file=nextcord.File(
buf,
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"
+ f" {df.last_valid_index().strftime('%d %b at %H:%M')}",
)
await ctx.send(price_reply)
@bot.command()
async def chart(ctx: commands, sym: str):
"""returns a chart of the past month of data for a symbol"""
symbols = s.find_symbols(sym)
if len(symbols):
symbol = symbols[0]
else:
await ctx.send("No symbols or coins found.")
return
df = s.chart_reply(symbol)
if df.empty:
await ctx.send("Invalid symbol please see `/help` for usage details.")
return
with ctx.channel.typing():
buf = io.BytesIO()
mpf.plot(
df,
type="candle",
title=f"\n{symbol.name}",
volume="volume" in df.keys(),
style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
)
buf.seek(0)
# Get price so theres no request lag after the image is sent
price_reply = s.price_reply([symbol])[0]
await ctx.send(
file=nextcord.File(
buf,
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')}"
+ f" to {df.last_valid_index().strftime('%d, %b %Y')}",
)
await ctx.send(price_reply)
@bot.command()
async def cap(ctx: commands, sym: str):
"""Get the market cap of a symbol"""
symbols = s.find_symbols(sym)
if symbols:
with ctx.channel.typing():
for reply in s.cap_reply(symbols):
await ctx.send(reply)
@bot.command()
async def trending(ctx: commands):
"""Get a list of Trending Stocks and Coins"""
with ctx.channel.typing():
await ctx.send(s.trending())
@bot.event
async def on_message(message):
if message.author.id == bot.user.id:
return
if message.content:
if message.content[0] == "/":
await bot.process_commands(message)
return
if "$" in message.content:
symbols = s.find_symbols(message.content)
if symbols:
for reply in s.price_reply(symbols):
await message.channel.send(reply)
return
bot.run(DISCORD_TOKEN)
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nextcord==2.4.2
-r requirements.txt
+13
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@@ -0,0 +1,13 @@
version: '3'
services:
telegram:
build:
context: .
dockerfile: telegram/Dockerfile
image: registry.gitlab.com/simple-stock-bots/simple-telegram-stock-bot
env_file: .env
discord:
build:
context: .
dockerfile: discord/Dockerfile
env_file: .env
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@@ -1,8 +1,11 @@
[tool.black] [tool.black]
line-length = 130 line-length = 130
[tool.flake8] [tool.flake8]
max-line-length = 130 max-line-length = 130
[tool.pycodestyle] [tool.pycodestyle]
max_line_length = 130 max_line_length = 130
[tool.ruff]
line-length = 130
-7
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@@ -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
+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
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@@ -0,0 +1,12 @@
{
"yaml.schemas": {
"https://squidfunk.github.io/mkdocs-material/schema.json": "mkdocs.yml"
},
"yaml.customTags": [
"!ENV scalar",
"!ENV sequence",
"tag:yaml.org,2002:python/name:materialx.emoji.to_svg",
"tag:yaml.org,2002:python/name:materialx.emoji.twemoji",
"tag:yaml.org,2002:python/name:pymdownx.superfences.fence_code_format"
]
}
+21
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@@ -0,0 +1,21 @@
MIT License
Copyright (c) 2019 Anson Biggs
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+23
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@@ -0,0 +1,23 @@
```
MIT License
Copyright (c) 2019 Anson Biggs
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```
+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
+2
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@@ -0,0 +1,2 @@
# 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://docs.simplestockbot.com/donate/), following on [Twitter](https://twitter.com/AnsonBiggs), or contributing on [GitLab](https://gitlab.com/simple-stock-bot).
## Dive Deeper
Craving more insights and features? Explore the [official documentation](https://docs.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!
+180
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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:
- OTC Support :dollar:
## 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: :dollar:
The Simple Stock Bot looks at every message it can see and tries to detect stock and cryptocurrency symbols. Stock market tickers are denoted with a single `$` and cryptocurrency coins are denoted with a double `$$`. So getting the price of Tesla is as simple as `$tsla` and Bitcoin `$$btc`. These symbols can be in any part of a message and there can be multiple of them aswell.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
I wonder how $tsla is affecting the price of $$btc
</div>
<div class="message from">
The current stock price of Tesla Inc is $866.57, the stock is currently up 1.68%
</div>
<div class="message from">
The current price of Bitcoin is $34,815, the coin is currently down -0.151% for today
</div>
</div>
</div>
## `/donate [Amount in USD]` :fontawesome-brands-telegram-plane:
The donate command is used to send money to the bot to help keep it free. The premium stock market data and server rentals add up so any amount helps. See the [Donate](donate.md) page for more information.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/donate
</div>
<div class="message from">
The current stock price of Tesla Inc is $664.315, the stock is
currently down -0.99%
</div>
</div>
</div>
## `/intra [symbol]` :bank: :material-currency-btc:
This command makes a chart of a stocks movement since the last market open, or the last 24 hours for cryptocurrency.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/intra $astr
</div>
<div class="message from">
<img src="/img/TgIntraChat.jpg" alt="Tesla Motors Chart" />
<p>Intraday chart for $ASTR from 06 Jul at 09:30 to 06 Jul at 15:59</p>
<p>The current stock price of Astra Space Inc - Class A is $12.47, the stock is currently down -19.39%</p>
</div>
</div>
</div>
## `/chart [symbol]` :bank: :material-currency-btc:
This command makes a chart of the last 1 month of trading data up until the day before. For example running it on May 5th creates a chart from April 5th to May 4th.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/intra $astr
</div>
<div class="message from">
<img src="/img/TgChartChat.jpg" alt="Tesla Motors Chart" />
<p>1 Month chart for Ethereum from 07, Jun 2021 to 07, Jul 2021</p>
<p>The current price of Ethereum is $2,389.62, the coin is currently up 2.485% for today</p>
</div>
</div>
</div>
## `/trending`
Gets the latest trending stocks and their change in price
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/trending
</div>
<pre class="message from">
🦍Trending on the Stock Bot:
━━━━━━━━━━━━━━━━━━━━━━━━━━
$GME: Gamestop Corporation - Class A, 5.06%
$MMAT: Meta Materials Inc, 4.77%
$$BTC: Bitcoin, -0.83%
$$ETH: Ethereum, 6.06%
$$DOGE: Binance-Peg Dogecoin, 0.14%
💵Trending Stocks:
━━━━━━━━━━━━━━━━
$BBIG: Vinco Ventures Inc, 15.44%
$GSAT: Globalstar Inc., -15.32%
$AMC: AMC Entertainment Holdings Inc - Class A, 8.77%
$ACIU: AC Immune SA, 16.31%
$PLTR: Palantir Technologies Inc - Class A, 2.25%
$AAPL: Apple Inc, -0.84%
$XELA: Exela Technologies Inc, 12.61%
$WFC: Wells Fargo & Co., -5.60%
$BAC: Bank Of America Corp., 0.22%
$AMD: Advanced Micro Devices Inc., -0.54%
🦎Trending Crypto:
━━━━━━━━━━━━━━━━
$$NFD: Feisty Doge NFT, -34.32%
$$SLP: Smooth Love Potion, -13.02%
$$PVU: Plant vs Undead Token, -1.27%
$$XED: Exeedme, 1.02%
$$SOL: Solana, -3.95%
$$BNB: Binance Coin, -0.25%
$$EWT: Energy Web Token, 17.72%
</pre>
</div>
</div>
## /help :robot:
Just a simple command to get help in app. Returns a more summarized version of this page.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/help
</div>
<div class="message from">
The current stock price of Tesla Inc is $664.315, the stock is
currently down -0.99%
</div>
</div>
</div>
## `/status` :robot:
This command is to get diagnostic information about the bot and the services it is dependant on in order to operate. Any issues should be reported to me. [Contact](contact.md)
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/status
</div>
<pre class="message from">
Bot Status:
It took 0.783369 seconds for the bot to get your message.
Stock Market Data:
marketdata.app is currently not reporting any issues with its API.
Cryptocurrency Data:
CoinGecko API responded that it was OK in 0.160962 Seconds.
</pre>
</div>
</div>
## Inline Features :fontawesome-brands-telegram: :material-currency-btc: :bank: :dollar:
You can type @SimpleStockBot `[search]` in any chat or direct message to search for the stock bots
full list of stock symbols and return the price of the ticker. Then once you select the ticker
want the bot will send a message as you in that chat with the latest stock price.
The bot also looks at every message in any chat it is in for stock symbols.Symbols start with a
`$` followed by the stock symbol. For example:$tsla would return price information for Tesla Motors.
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# I Would Love to Hear From You!
Your feedback and experience with Simple Stock Bot is invaluable. Whether you've encountered a bug, have a suggestion for improvement, or just want to share your experience, I'm all ears. Here are several ways you can get in touch:
- **Telegram**: Drop me a message on [Telegram](https://t.me/MisterBiggs).
- **Discord**: Feel free to reach out on Discord at `MisterBiggs#0465`.
- **Twitter**: Send me a tweet on [Twitter](https://twitter.com/AnsonBiggs).
- **GitLab**: For technical issues or feature requests, feel free to open an issue on our [GitLab Repository](https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot).
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# Support Simple Stock Bot
Running Simple Stock Bot incurs a yearly expense of about $420, covering server costs and premium market data subscription from [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo). Every donation helps in maintaining the bot and ensuring its continued availability for all users.
Your support through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) is greatly appreciated, which accepts both PayPal and Credit Card donations.
For Telegram users, a convenient way to donate is by using the `/donate` [command](commands.md#donate-amount-in-usd).
Should you have any inquiries, feel free to get in [touch](contact.md).
## Additional Support:
Your engagement also counts as support! Here are other ways to contribute:
- Stay updated by following me on [Twitter](https://twitter.com/AnsonBiggs).
- Contribute to the project or star it on [GitLab](https://gitlab.com/simple-stock-bots).
- If you plan to host your own bot, consider using my referral links:
- [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web)
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
Your support in any form is immensely appreciated and helps in keeping Simple Stock Bot operational and free for everyone.
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# Self-Hosting Guide
This guide provides step-by-step instructions for setting up and running this project on your local machine, whether for development, testing, or personal use.
## 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
edit_uri: /simple-stock-bots/site/tree/master/site
repo_url: https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot
repo_name: Simple Stock Bots
site_description: Simple Discord and Telegram chat bots for Stock Market Data.
site_author: Anson Biggs
copyright: <a href="https://ansonbiggs.com">Anson Biggs</a> 2018 </br> Available Under an <a href="/LICENSE/">MIT LICENSE</a> </br>
nav:
- Home: index.md
- Commands: commands.md
- Self-Host: host.md
- Donate: donate.md
- Contact: contact.md
- Blog: /blog
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
COPY telegram/telegram-reqs.txt .
COPY common/requirements.txt .
RUN pip install --user -r telegram-reqs.txt
FROM python:3.11-slim
ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local
COPY common common
COPY telegram .
CMD [ "python", "./bot.py" ]
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"""Functions and Info specific to the Telegram Bot
"""
import re
import requests as r
class T_info:
license = re.sub(
r"\b\n",
" ",
r.get("https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot/-/raw/master/LICENSE").text,
)
help_text = """
Appreciate this bot? Show support by [buying me a beer](https://www.buymeacoffee.com/Anson) 🍻.
Want stock data or to host your own bot? Help keep this bot free by using my
[affiliate link](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
📢 Stay updated on the bot's Telegram: https://t.me/simplestockbotnews.
**Guide**: All about using and setting up the bot is in the [docs](https://docs.simplestockbot.com).
The bot recognizes _"Symbols"_. `$` for stocks and `$$` for cryptos. Example:
- `/chart $$eth` gets a month's Ethereum chart.
- `/dividend $psec` shows Prospect Capital's dividend info.
Mention a symbol, and the bot reveals its price.
E.g., `What's $$btc's price since $tsla accepts it?` gives Bitcoin and Tesla prices.
**Commands**
- `/donate [USD]`: Support the bot. 🎗️
- `/intra $[symbol]`: Today's stock activity. 📈
- `/chart $[symbol]`: Past month's stock chart. 📊
- `/trending`: What's hot in stocks and cryptos. 💬
- `/help`: Bot assistance. 🆘
**Inline Features**
Search with @SimpleStockBot `[query]` anywhere.
Pick a ticker, and the bot shares the current price in chat. Note: Prices can lag by an hour.
Data thanks to [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
Bot issues? Use `/status` or [contact us](https://docs.simplestockbot.com/contact).
"""
donate_text = """
Support Simple Stock Bot through [donations](https://www.buymeacoffee.com/Anson).
All funds help maintain servers, with data from
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
**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.
For questions, visit our [website](https://docs.simplestockbot.com).
"""
# Not used by the bot but for updating commands with BotFather
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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# Works with Python 3.8 # Works with Python 3.8
import datetime import datetime
import html import html
import io import io
import json import json
import logging import logging
import os import os
import random import random
import string import string
import traceback import traceback
from uuid import uuid4 from uuid import uuid4
import mplfinance as mpf import mplfinance as mpf
import telegram import telegram
from telegram import ( from telegram import (
InlineQueryResultArticle, InlineQueryResultArticle,
InputTextMessageContent, InputTextMessageContent,
LabeledPrice, LabeledPrice,
Update, Update,
) )
from telegram.ext import (
CallbackContext, from telegram.ext import (
CommandHandler, Application,
Filters, CommandHandler,
InlineQueryHandler, InlineQueryHandler,
MessageHandler, PreCheckoutQueryHandler,
PreCheckoutQueryHandler, MessageHandler,
Updater, filters,
) ContextTypes,
)
from symbol_router import Router
from T_info import T_info from common.symbol_router import Router
from T_info import T_info
# Enable logging
logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO) # Enable logging
log = logging.getLogger(__name__) logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO)
TELEGRAM_TOKEN = os.environ["TELEGRAM"] # set higher logging level for httpx to avoid all GET and POST requests being logged
logging.getLogger("httpx").setLevel(logging.WARNING)
try:
STRIPE_TOKEN = os.environ["STRIPE"] log = logging.getLogger(__name__)
except KeyError:
STRIPE_TOKEN = "" TELEGRAM_TOKEN = os.environ["TELEGRAM"]
log.warning("Starting without a STRIPE Token will not allow you to accept Donations!")
try:
s = Router() STRIPE_TOKEN = os.environ["STRIPE"]
t = T_info() except KeyError:
STRIPE_TOKEN = ""
log.warning("Starting without a STRIPE Token will not allow you to accept Donations!")
log.info("Bot script started.")
s = Router()
t = T_info()
def start(update: Update, context: CallbackContext):
"""Send help text when the command /start is issued."""
log.info(f"Start command ran by {update.message.chat.username}") log.info("Bot script started.")
update.message.reply_text(
text=t.help_text,
parse_mode=telegram.ParseMode.MARKDOWN, async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
disable_notification=True, """Send help text when the command /start is issued."""
) log.info(f"Start command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.help_text,
def help(update: Update, context: CallbackContext): parse_mode=telegram.constants.ParseMode.MARKDOWN,
"""Send help text when the command /help is issued.""" disable_notification=True,
log.info(f"Help command ran by {update.message.chat.username}") )
update.message.reply_text(
text=t.help_text,
parse_mode=telegram.ParseMode.MARKDOWN, async def help(update: Update, context: ContextTypes.DEFAULT_TYPE):
disable_notification=True, """Send help text when the command /help is issued."""
) log.info(f"Help command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.help_text,
def license(update: Update, context: CallbackContext): parse_mode=telegram.constants.ParseMode.MARKDOWN,
"""Send bots license when the /license command is issued.""" disable_notification=True,
log.info(f"License command ran by {update.message.chat.username}") )
update.message.reply_text(
text=t.license,
parse_mode=telegram.ParseMode.MARKDOWN, async def license(update: Update, context: ContextTypes.DEFAULT_TYPE):
disable_notification=True, """Send bots license when the /license command is issued."""
) log.info(f"License command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.license,
def status(update: Update, context: CallbackContext): parse_mode=telegram.constants.ParseMode.MARKDOWN,
"""Gather status of bot and dependant services and return important status updates.""" disable_notification=True,
log.warning(f"Status command ran by {update.message.chat.username}") )
bot_resp_time = datetime.datetime.now(update.message.date.tzinfo) - update.message.date
bot_status = s.status(f"It took {bot_resp_time.total_seconds()} seconds for the bot to get your message.") async def status(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Gather status of bot and dependant services and return important status updates."""
update.message.reply_text( log.warning(f"Status command ran by {update.message.chat.username}")
text=bot_status, bot_resp_time = datetime.datetime.now(update.message.date.tzinfo) - update.message.date
parse_mode=telegram.ParseMode.MARKDOWN,
) bot_status = s.status(f"It took {bot_resp_time.total_seconds()} seconds for the bot to get your message.")
await update.message.reply_text(
def donate(update: Update, context: CallbackContext): text=bot_status,
"""Sets up donation.""" parse_mode=telegram.constants.ParseMode.MARKDOWN,
log.info(f"Donate command ran by {update.message.chat.username}") )
chat_id = update.message.chat_id
if update.message.text.strip() == "/donate" or "/donate@" in update.message.text: async def donate(update: Update, context: ContextTypes.DEFAULT_TYPE):
update.message.reply_text( """Sets up donation."""
text=t.donate_text, log.info(f"Donate command ran by {update.message.chat.username}")
parse_mode=telegram.ParseMode.MARKDOWN, chat_id = update.message.chat_id
disable_notification=True,
) if update.message.text.strip() == "/donate" or "/donate@" in update.message.text:
amount = 1.0 await update.message.reply_text(
else: text=t.donate_text,
amount = float(update.message.text.replace("/donate", "").replace("$", "").strip()) parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
try: )
price = int(amount * 100) amount = 1.0
except ValueError: else:
update.message.reply_text(f"{amount} is not a valid donation amount or number.") amount = float(update.message.text.replace("/donate", "").replace("$", "").strip())
return
log.info(f"Donation amount: {price} by {update.message.chat.username}") try:
price = int(amount * 100)
context.bot.send_invoice( except ValueError:
chat_id=chat_id, await update.message.reply_text(f"{amount} is not a valid donation amount or number.")
title="Simple Stock Bot Donation", return
description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}", log.info(f"Donation amount: {price} by {update.message.chat.username}")
payload=f"simple-stock-bot-{chat_id}",
provider_token=STRIPE_TOKEN, await context.bot.send_invoice(
currency="USD", chat_id=chat_id,
prices=[LabeledPrice("Donation:", price)], title="Simple Stock Bot Donation",
start_parameter="", description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}",
# suggested_tip_amounts=[100, 500, 1000, 2000], payload=f"simple-stock-bot-{chat_id}",
photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png", provider_token=STRIPE_TOKEN,
photo_width=500, currency="USD",
photo_height=500, prices=[LabeledPrice("Donation:", price)],
) start_parameter="",
# suggested_tip_amounts=[100, 500, 1000, 2000],
photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png",
def precheckout_callback(update: Update, context: CallbackContext): photo_width=500,
"""Approves donation""" photo_height=500,
log.info("precheckout_callback queried") )
query = update.pre_checkout_query
query.answer(ok=True) async def precheckout_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
# I dont think I need to check since its only donations. """Approves donation"""
# if query.invoice_payload == "simple-stock-bot": log.info("precheckout_callback queried")
# # answer False pre_checkout_query query = update.pre_checkout_query
# query.answer(ok=True)
# else: await query.answer(ok=True)
# query.answer(ok=False, error_message="Something went wrong...") # I dont think I need to check since its only donations.
# if query.invoice_payload == "simple-stock-bot":
# # answer False pre_checkout_query
def successful_payment_callback(update: Update, context: CallbackContext): # await query.answer(ok=True)
"""Thanks user for donation""" # else:
log.info("Successful payment!") # await query.answer(ok=False, error_message="Something went wrong...")
update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!")
async def successful_payment_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
def symbol_detect_image(update: Update, context: CallbackContext): """Thanks user for donation"""
""" log.info("Successful payment!")
Makes image captions into text then passes the `update` and `context` await update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!")
to symbol detect so that it can reply cashtags in image captions.
"""
if update.message.caption: async def symbol_detect_image(update: Update, context: ContextTypes.DEFAULT_TYPE):
update.message.text = update.message.caption """
symbol_detect(update, context) Makes image captions into text then passes the `update` and `context`
to symbol detect so that it can reply cashtags in image captions.
"""
def symbol_detect(update: Update, context: CallbackContext): try:
""" if update.message.caption:
Runs on any message that doesn't have a command and searches for cashtags, update.message.text = update.message.caption
then returns the prices of any symbols found. await symbol_detect(update, context)
""" except AttributeError:
try: return
message = update.message.text
chat_id = update.message.chat_id
if "$" in message: async def symbol_detect(update: Update, context: ContextTypes.DEFAULT_TYPE):
symbols = s.find_symbols(message) """
log.info("Looking for Symbols") Runs on any message that doesn't have a command and searches for cashtags,
else: then returns the prices of any symbols found.
return """
except AttributeError as ex: try:
log.info(ex) message = update.message.text
return chat_id = update.message.chat_id
if symbols: if "$" in message:
# Let user know bot is working symbols = s.find_symbols(message)
context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.TYPING) log.info("Looking for Symbols")
log.info(f"Symbols found: {symbols}") else:
return
for reply in s.price_reply(symbols): except AttributeError as ex:
update.message.reply_text( log.info(ex)
text=reply, return
parse_mode=telegram.ParseMode.MARKDOWN, if symbols:
disable_notification=True, # Let user know bot is working
) await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
log.info(f"Symbols found: {symbols}")
def intra(update: Update, context: CallbackContext): for reply in s.price_reply(symbols):
"""returns a chart of intraday data for a symbol""" await update.message.reply_text(
log.info(f"Intra command ran by {update.message.chat.username}") text=reply,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
message = update.message.text disable_notification=True,
chat_id = update.message.chat_id )
if message.strip().split("@")[0] == "/intra":
update.message.reply_text( async def intra(update: Update, context: ContextTypes.DEFAULT_TYPE):
"This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla" """returns a chart of intraday data for a symbol"""
) log.info(f"Intra command ran by {update.message.chat.username}")
return
message = update.message.text
symbols = s.find_symbols(message, trending_weight=5) chat_id = update.message.chat_id
symbol = symbols[0]
if message.strip().split("@")[0] == "/intra":
if len(symbols): await update.message.reply_text(
symbol = symbols[0] "This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla"
else: )
update.message.reply_text("No symbols or coins found.") return
return
symbols = s.find_symbols(message, trending_weight=5)
df = s.intra_reply(symbol) symbol = symbols[0]
if df.empty:
update.message.reply_text( if len(symbols):
text="Invalid symbol please see `/help` for usage details.", symbol = symbols[0]
parse_mode=telegram.ParseMode.MARKDOWN, else:
disable_notification=True, await update.message.reply_text("No symbols or coins found.")
) return
return
df = s.intra_reply(symbol)
context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.UPLOAD_PHOTO) if df.empty:
await update.message.reply_text(
buf = io.BytesIO() text="Invalid symbol please see `/help` for usage details.",
mpf.plot( parse_mode=telegram.constants.ParseMode.MARKDOWN,
df, disable_notification=True,
type="renko", )
title=f"\n{symbol.name}", return
volume="Volume" in df.keys(),
style="yahoo", await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
) buf = io.BytesIO()
buf.seek(0) mpf.plot(
df,
update.message.reply_photo( type="renko",
photo=buf, title=f"\n{symbol.name}",
caption=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to" volume="Volume" in df.keys(),
+ f" {df.last_valid_index().strftime('%d %b at %H:%M')}" style="yahoo",
+ f"\n\n{s.price_reply([symbol])[0]}", savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
parse_mode=telegram.ParseMode.MARKDOWN, )
disable_notification=True, buf.seek(0)
)
await update.message.reply_photo(
photo=buf,
def chart(update: Update, context: CallbackContext): caption=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to"
"""returns a chart of the past month of data for a symbol""" + f" {df.last_valid_index().strftime('%d %b at %H:%M %Z')}"
log.info(f"Chart command ran by {update.message.chat.username}") + f"\n\n{s.price_reply([symbol])[0]}",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
message = update.message.text disable_notification=True,
chat_id = update.message.chat_id )
if message.strip().split("@")[0] == "/chart":
update.message.reply_text( async def chart(update: Update, context: ContextTypes.DEFAULT_TYPE):
"This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla" """returns a chart of the past month of data for a symbol"""
) log.info(f"Chart command ran by {update.message.chat.username}")
return
message = update.message.text
symbols = s.find_symbols(message, trending_weight=10) chat_id = update.message.chat_id
if len(symbols): if message.strip().split("@")[0] == "/chart":
symbol = symbols[0] await update.message.reply_text(
else: "This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla"
update.message.reply_text("No symbols or coins found.") )
return return
df = s.chart_reply(symbol) symbols = s.find_symbols(message, trending_weight=10)
if df.empty:
update.message.reply_text( if len(symbols):
text="Invalid symbol please see `/help` for usage details.", symbol = symbols[0]
parse_mode=telegram.ParseMode.MARKDOWN, else:
disable_notification=True, await update.message.reply_text("No symbols or coins found.")
) return
return
context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.UPLOAD_PHOTO) df = s.chart_reply(symbol)
if df.empty:
buf = io.BytesIO() await update.message.reply_text(
mpf.plot( text="Invalid symbol please see `/help` for usage details.",
df, parse_mode=telegram.constants.ParseMode.MARKDOWN,
type="candle", disable_notification=True,
title=f"\n{symbol.name}", )
volume="Volume" in df.keys(), return
style="yahoo", await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
) buf = io.BytesIO()
buf.seek(0) mpf.plot(
df,
update.message.reply_photo( type="candle",
photo=buf, title=f"\n{symbol.name}",
caption=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}" volume="Volume" in df.keys(),
+ f" to {df.last_valid_index().strftime('%d, %b %Y')}\n\n{s.price_reply([symbol])[0]}", style="yahoo",
parse_mode=telegram.ParseMode.MARKDOWN, savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
disable_notification=True, )
) buf.seek(0)
await update.message.reply_photo(
def trending(update: Update, context: CallbackContext): photo=buf,
"""returns currently trending symbols and how much they've moved in the past trading day.""" caption=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}"
log.info(f"Trending command ran by {update.message.chat.username}") + f" to {df.last_valid_index().strftime('%d, %b %Y')}\n\n{s.price_reply([symbol])[0]}",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
chat_id = update.message.chat_id disable_notification=True,
)
context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.TYPING)
trending_list = s.trending() async def trending(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns currently trending symbols and how much they've moved in the past trading day."""
update.message.reply_text( log.info(f"Trending command ran by {update.message.chat.username}")
text=trending_list,
parse_mode=telegram.ParseMode.MARKDOWN, chat_id = update.message.chat_id
disable_notification=True,
) await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
trending_list = s.trending()
def inline_query(update: Update, context: CallbackContext):
""" await update.message.reply_text(
Handles inline query. Searches by looking if query is contained text=trending_list,
in the symbol and returns matches in alphabetical order. parse_mode=telegram.constants.ParseMode.MARKDOWN,
""" disable_notification=True,
# info(f"Inline command ran by {update.message.chat.username}") )
log.info(f"Query: {update.inline_query.query}")
ignored_queries = {"$", "$$", " ", ""} async def inline_query(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
"""
if update.inline_query.query.strip() in ignored_queries: Handles inline query. Searches by looking if query is contained
default_message = """ in the symbol and returns matches in alphabetical order.
You can type:\n@SimpleStockBot `[search]` """
in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price.
""" if not update.inline_query.query:
return
update.inline_query.answer(
[ print(f"Query: {update.inline_query.query}")
InlineQueryResultArticle(
str(uuid4()), ignored_queries = {"$", "$$", " ", ""}
title="Please enter a query. It can be a ticker or a name of a company.",
input_message_content=InputTextMessageContent(default_message, parse_mode=telegram.ParseMode.MARKDOWN), if update.inline_query.query.strip() in ignored_queries:
) default_message = """
] You can type:\n@SimpleStockBot `[search]`
) in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price.
"""
matches = s.inline_search(update.inline_query.query)
await update.inline_query.answer(
results = [] [
for _, row in matches.iterrows(): InlineQueryResultArticle(
results.append( str(uuid4()),
InlineQueryResultArticle( title="Please enter a query. It can be a ticker or a name of a company.",
str(uuid4()), input_message_content=InputTextMessageContent(
title=row["description"], default_message, parse_mode=telegram.constants.ParseMode.MARKDOWN
input_message_content=InputTextMessageContent(row["price_reply"], parse_mode=telegram.ParseMode.MARKDOWN), ),
) )
) ]
)
if len(results) == 5:
update.inline_query.answer(results, cache_time=60 * 60) matches = s.inline_search(update.inline_query.query)
log.info("Inline Command was successful")
return results = []
update.inline_query.answer(results) for _, row in matches.iterrows():
results.append(
InlineQueryResultArticle(
def rand_pick(update: Update, context: CallbackContext): str(uuid4()),
"""For the gamblers. Returns a random symbol to buy and a sell date""" title=row["description"],
log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}") input_message_content=InputTextMessageContent(
row["price_reply"], parse_mode=telegram.constants.ParseMode.MARKDOWN
update.message.reply_text( ),
text=s.random_pick(), )
parse_mode=telegram.ParseMode.MARKDOWN, )
disable_notification=True,
) if len(results) == 5:
await update.inline_query.answer(results, cache_time=60 * 60)
log.info("Inline Command was successful")
def error(update: Update, context: CallbackContext): return
"""Log Errors caused by Updates.""" await update.inline_query.answer(results)
log.warning('Update "%s" caused error "%s"', update, error)
tb_list = traceback.format_exception(None, context.error, context.error.__traceback__) async def rand_pick(update: Update, context: ContextTypes.DEFAULT_TYPE):
tb_string = "".join(tb_list) """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}")
err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)])
log.warning(f"Logging error: {err_code}") await update.message.reply_text(
text=s.random_pick(),
if update: parse_mode=telegram.constants.ParseMode.MARKDOWN,
log.warning( disable_notification=True,
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"
f"\tcontext.chat_data = {str(context.chat_data)}\n"
f"\tcontext.user_data = {str(context.user_data)}\n" async def error(update: Update, context: ContextTypes.DEFAULT_TYPE):
f"\t{html.escape(tb_string)}" """Log Errors caused by Updates."""
) log.warning('Update "%s" caused error "%s"', update, error)
update.message.reply_text( tb_list = traceback.format_exception(None, context.error, context.error.__traceback__)
text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`", tb_string = "".join(tb_list)
parse_mode=telegram.ParseMode.MARKDOWN,
) err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)])
else: log.warning(f"Logging error: {err_code}")
log.warning("No message to send to user.")
log.warning(tb_string) if update:
log.warning(
f"An exception was raised while handling an update\n"
def main(): f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n"
"""Start the context.bot.""" f"\tcontext.chat_data = {str(context.chat_data)}\n"
# Create the EventHandler and pass it your bot's token. f"\tcontext.user_data = {str(context.user_data)}\n"
updater = Updater(TELEGRAM_TOKEN) f"\t{html.escape(tb_string)}"
)
# Get the dispatcher to register handlers
dp = updater.dispatcher await update.message.reply_text(
text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`",
# on different commands - answer in Telegram parse_mode=telegram.constants.ParseMode.MARKDOWN,
dp.add_handler(CommandHandler("start", start)) )
dp.add_handler(CommandHandler("help", help)) else:
dp.add_handler(CommandHandler("license", license)) log.warning("No message to send to user.")
dp.add_handler(CommandHandler("trending", trending)) log.warning(tb_string)
dp.add_handler(CommandHandler("random", rand_pick))
dp.add_handler(CommandHandler("donate", donate))
dp.add_handler(CommandHandler("status", status)) def main():
dp.add_handler(CommandHandler("inline", inline_query)) """Start the context.bot."""
# Create the EventHandler and pass it your bot's token.
# Charting can be slow so they run async. application = Application.builder().token(TELEGRAM_TOKEN).build()
dp.add_handler(CommandHandler("intra", intra, run_async=True))
dp.add_handler(CommandHandler("intraday", intra, run_async=True)) # on different commands - answer in Telegram
dp.add_handler(CommandHandler("day", intra, run_async=True)) application.add_handler(CommandHandler("start", start))
dp.add_handler(CommandHandler("chart", chart, run_async=True)) application.add_handler(CommandHandler("help", help))
dp.add_handler(CommandHandler("month", chart, run_async=True)) application.add_handler(CommandHandler("license", license))
application.add_handler(CommandHandler("trending", trending))
# on noncommand i.e message - echo the message on Telegram application.add_handler(CommandHandler("random", rand_pick))
dp.add_handler(MessageHandler(Filters.text, symbol_detect)) application.add_handler(CommandHandler("donate", donate))
dp.add_handler(MessageHandler(Filters.photo, symbol_detect_image)) application.add_handler(CommandHandler("status", status))
application.add_handler(CommandHandler("inline", inline_query))
# Inline Bot commands
dp.add_handler(InlineQueryHandler(inline_query)) # Charting can be slow so they run async.
application.add_handler(CommandHandler("intra", intra, block=False))
# Pre-checkout handler to final check application.add_handler(CommandHandler("intraday", intra, block=False))
dp.add_handler(PreCheckoutQueryHandler(precheckout_callback)) application.add_handler(CommandHandler("day", intra, block=False))
application.add_handler(CommandHandler("chart", chart, block=False))
# Payment success application.add_handler(CommandHandler("month", chart, block=False))
dp.add_handler(MessageHandler(Filters.successful_payment, successful_payment_callback))
# on noncommand i.e message - echo the message on Telegram
# log all errors application.add_handler(MessageHandler(filters.TEXT, symbol_detect))
dp.add_error_handler(error) application.add_handler(MessageHandler(filters.PHOTO, symbol_detect_image))
# Start the Bot # Inline Bot commands
updater.start_polling() application.add_handler(InlineQueryHandler(inline_query))
updater.idle() # Pre-checkout handler to final check
application.add_handler(PreCheckoutQueryHandler(precheckout_callback))
if __name__ == "__main__": # Payment success
main() 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()
+2
View File
@@ -0,0 +1,2 @@
python-telegram-bot==20.5
-r requirements.txt
+33 -33
View File
@@ -1,33 +1,33 @@
import keyboard import keyboard
import time import time
tests = """$$xno tests = """$$xno
/info $tsla /info $tsla
/info $$btc /info $$btc
/news $tsla /news $tsla
/news $$btc /news $$btc
/stat $tsla /stat $tsla
/stat $$btc /stat $$btc
/cap $tsla /cap $tsla
/cap $$btc /cap $$btc
/dividend $tsla /dividend $tsla
/dividend $msft /dividend $msft
/dividend $$btc /dividend $$btc
/intra $tsla /intra $tsla
/intra $$btc /intra $$btc
/chart $tsla /chart $tsla
/chart $$btc /chart $$btc
/help /help
/trending""".split( /trending""".split(
"\n" "\n"
) )
print("press enter to start") print("press enter to start")
keyboard.wait("enter") keyboard.wait("enter")
for test in tests: for test in tests:
print(test) print(test)
keyboard.write(test) keyboard.write(test)
time.sleep(1) time.sleep(1)
keyboard.press_and_release("enter") keyboard.press_and_release("enter")