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4 Commits

Author SHA1 Message Date
Anson d74ce33fc7 fix pipeline? 2023-09-03 13:00:26 -06:00
Anson 4002f9f744 fix pipeline? 2023-09-03 13:00:02 -06:00
Anson b9725e5c14 Merge branch 'master' into 101-combine-discord-and-telegram-bots-into-one-repo-and-deploy-with-docker-compose 2023-09-03 12:56:28 -06:00
Anson e4280d808b add discord bot 2023-09-03 12:46:18 -06:00
55 changed files with 2062 additions and 2947 deletions
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@@ -1,3 +1,20 @@
FROM python:3.11 FROM python:3.11-buster AS builder
COPY . .
COPY requirements.txt /requirements.txt
RUN pip install --user -r requirements.txt
FROM python:3.11-slim
ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local
RUN pip install --no-cache-dir black
ENV TELEGRAM=TOKEN
ENV MARKETDATA=TOKEN
COPY . .
# CMD [ "python", "./bot.py" ]
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// For format details, see https://aka.ms/devcontainer.json. For config options, see the // For format details, see https://aka.ms/devcontainer.json. For config options, see the README at:
// README at: https://github.com/devcontainers/templates/tree/main/src/python // https://github.com/microsoft/vscode-dev-containers/tree/v0.191.0/containers/docker-existing-dockerfile
{ {
"name": "Python 3", "name": "DockerDev",
// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile // Sets the run context to one level up instead of the .devcontainer folder.
// "image": "mcr.microsoft.com/devcontainers/python:1-3-bookworm", "context": "..",
"build": { // Update the 'dockerFile' property if you aren't using the standard 'Dockerfile' filename.
"dockerfile": "Dockerfile", "dockerFile": "Dockerfile",
"context": ".." // 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.vscode-pylance", // Uncomment to use the Docker CLI from inside the container. See https://aka.ms/vscode-remote/samples/docker-from-docker.
"ms-python.isort", // "mounts": [ "source=/var/run/docker.sock,target=/var/run/docker.sock,type=bind" ],
"charliermarsh.ruff", // Uncomment to connect as a non-root user if you've added one. See https://aka.ms/vscode-remote/containers/non-root.
"ms-toolsai.jupyter", // "remoteUser": "vscode"
"esbenp.prettier-vscode" }
]
}
},
"postCreateCommand": "pip3 install --user -r dev-reqs.txt && apt-get update && apt-get install -y nodejs npm && npm install"
// Features to add to the dev container. More info: https://containers.dev/features.
// "features": {},
// Use 'forwardPorts' to make a list of ports inside the container available locally.
// "forwardPorts": [],
// Use 'postCreateCommand' to run commands after the container is created.
// "postCreateCommand": "pip3 install --user -r requirements.txt",
// Configure tool-specific properties.
// "customizations": {},
// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
// "remoteUser": "root"
}
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@@ -1,3 +1,2 @@
__pycache__ __pycache__
.env .env
node_modules
+1 -25
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stages:
- lint
- build
- build_site
- deploy
- deploy_site
black: black:
stage: lint # stage: .pre
image: registry.gitlab.com/pipeline-components/black:latest image: registry.gitlab.com/pipeline-components/black:latest
script: script:
- black --check --verbose -- . - black --check --verbose -- .
ruff:
stage: lint
image: python:3.11-slim
script:
- pip3 install ruff
- ruff --output-format gitlab .
prettier:
stage: lint
image: node:16-slim # Use Node.js image since prettier is a Node.js tool
script:
- npm install prettier
- npx prettier --check . # Adjust the path as needed
include:
- local: /site/.gitlab-ci.yml
+12
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@@ -0,0 +1,12 @@
{
"configurations": [
{
"name": "Telegram Bot",
"type": "python",
"request": "launch",
"program": "bot.py",
"console": "integratedTerminal",
"python": "python3.11"
}
]
}
+4 -9
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@@ -1,10 +1,5 @@
{ {
"editor.formatOnSave": true, "python.formatting.provider": "black",
"editor.formatOnPaste": true, "python.linting.mypyEnabled": true,
"editor.formatOnSaveMode": "modificationsIfAvailable", "python.linting.flake8Enabled": true,
"[python]": { }
"editor.defaultFormatter": "ms-python.black-formatter",
"editor.formatOnSave": true,
"editor.formatOnSaveMode": "file"
}
}
+21 -21
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@@ -1,21 +1,21 @@
MIT License MIT License
Copyright (c) 2019 Anson Biggs Copyright (c) 2019 Anson Biggs
Permission is hereby granted, free of charge, to any person obtaining a copy Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions: furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software. copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE. SOFTWARE.
+19 -35
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@@ -1,48 +1,32 @@
# Simple Stock Bots # Simple Telegram Stock Bot
[![Platform](https://img.shields.io/badge/platform-Telegram%20%7C%20Discord-blue.svg)](https://t.me/SimpleStockBot)
[![Platform](https://img.shields.io/badge/platform-Telegram-blue.svg)](https://t.me/SimpleStockBot)
[![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE) [![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE)
[![Maintainer](https://img.shields.io/badge/Maintainer-Anson-blue)](https://ansonbiggs.com) [![Author](https://img.shields.io/badge/Maintainer-Anson-blue)](https://ansonbiggs.com)
Enhance your group chats on Telegram and Discord with real-time stock and cryptocurrency insights. Simple Stock Bots deliver timely stock quotes, charts, and market trends directly to your chats, making financial discussions more engaging and informed. ## Docs
## Documentation https://docs.simplestockbot.com/
Comprehensive documentation is available to help you understand the features and capabilities of Simple Stock Bots: ## Usage
- [Official Documentation](https://simplestockbot.com/) https://docs.simplestockbot.com/commands/
- [Command Reference](https://simplestockbot.com/commands/)
## Support the Project ## Donate
Simple Stock Bots is sustained entirely through donations, with an annual expense of about $420 for server and premium market data subscriptions from [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo). Simple Stock Bot is run entirely on donations, and costs about $420 a year to run. All donations go directly towards paying for servers, and premium market data provided by [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo).
You can contribute by: The best way to donate is through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) which accepts Paypal or Credit card.
- Donating through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) (PayPal or Credit Card accepted). Alternatively, you can donate on Telegram with the `/donate` [command](commands.md#donate-amount-in-usd).
- Using the `/donate` [command](commands.md#donate-amount-in-usd) on Telegram.
- [Getting in touch](contact.md) for any inquiries or suggestions.
### Additional Support: If you have any questions get in [touch.](contact.md)
- Follow on [Twitter](https://twitter.com/AnsonBiggs) ## Other Ways to Help:
- Contribute or star the project on [GitLab](https://gitlab.com/simple-stock-bots/simple-stock-bot)
- Utilize referral links for self-hosting: - Follow me on [twitter](https://twitter.com/AnsonBiggs)
- Contribute to the project on [GitLab](https://gitlab.com/simple-stock-bots) or just leave a star
- Using my referral links to host your own Bot
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6) - [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
- [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web) - [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo)
## Hosting
Self-hosting instructions are provided for those interested in running the bot on their own servers:
- [Hosting Guide](https://simplestockbot.com/hosting/)
## Contact
Reach out for bug reports, feature requests, or other inquiries:
- [Contact Page](https://simplestockbot.com/contact/)
---
Your support in any form is immensely appreciated and ensures the continuous improvement and availability of Simple Stock Bots for everyone.
+263 -345
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import datetime as dt import datetime as dt
import logging import logging
import os import os
from collections import OrderedDict from typing import Dict
from typing import Dict
import pandas as pd
import humanize import pytz
import pandas as pd import requests as r
import pytz import schedule
import requests as r
import schedule from common.Symbol import Stock
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] = {}
symbol_list: Dict[str, Dict] = {} openTime = dt.time(hour=9, minute=30, second=0)
charts: Dict[Stock, pd.DataFrame] = {} marketTimeZone = pytz.timezone("US/Eastern")
openTime = dt.time(hour=9, minute=30, second=0) def __init__(self) -> None:
marketTimeZone = pytz.timezone("US/Eastern") """Creates a Symbol Object
def __init__(self) -> None: Parameters
"""Creates a Symbol Object ----------
MARKETDATA_TOKEN : str
Parameters MarketData.app API Token
---------- """
MARKETDATA_TOKEN : str
MarketData.app API Token try:
""" self.MARKETDATA_TOKEN = os.environ["MARKETDATA"]
try: if self.MARKETDATA_TOKEN == "TOKEN":
self.MARKETDATA_TOKEN = os.environ["MARKETDATA"] self.MARKETDATA_TOKEN = ""
except KeyError:
if self.MARKETDATA_TOKEN == "TOKEN": self.MARKETDATA_TOKEN = ""
self.MARKETDATA_TOKEN = "" log.warning("Starting without an MarketData.app Token will not allow you to get market data!")
except KeyError: log.warning("Use this affiliate link so that the bot can stay free:")
self.MARKETDATA_TOKEN = "" log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo")
log.warning("Starting without an MarketData.app Token will not allow you to get market data!")
log.warning("Use this affiliate link so that the bot can stay free:") if self.MARKETDATA_TOKEN != "":
log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo") schedule.every().day.do(self.clear_charts)
if self.MARKETDATA_TOKEN != "": def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
schedule.every().day.do(self.clear_charts) url = "https://api.marketdata.app/v1/" + endpoint
self.get_symbol_list() # set token param if it wasn't passed.
schedule.every().day.do(self.get_symbol_list) params["token"] = self.MARKETDATA_TOKEN
def get(self, endpoint, params: dict = {}, timeout=10) -> dict: # Undocumented query variable that ensures bot usage can be
url = "https://api.marketdata.app/v1/" + endpoint # monitored even if someone doesn't make it through an affiliate link.
params["application"] = "simplestockbot"
# set token param if it wasn't passed.
params["token"] = self.MARKETDATA_TOKEN resp = r.get(url, params=params, timeout=timeout)
# Undocumented query variable that ensures bot usage can be # Make sure API returned a proper status code
# monitored even if someone doesn't make it through an affiliate link. try:
params["application"] = "simplestockbot" resp.raise_for_status()
except r.exceptions.HTTPError as e:
resp = r.get(url, params=params, timeout=timeout) logging.error(e)
return {}
# Make sure API returned a proper status code
try: # Make sure API returned valid JSON
resp.raise_for_status() try:
except r.exceptions.HTTPError as e: resp_json = resp.json()
logging.error(e)
return {} match resp_json["s"]:
case "ok":
# Make sure API returned valid JSON return resp_json
try: case "no_data":
resp_json = resp.json() return resp_json
case "error":
match resp_json["s"]: logging.error("MarketData Error:\n" + resp_json["errmsg"])
case "ok": return {}
return resp_json
case "no_data": except r.exceptions.JSONDecodeError as e:
return resp_json logging.error(e)
case "error":
logging.error("MarketData Error:\n" + resp_json["errmsg"]) return {}
return {}
def clear_charts(self) -> None:
except r.exceptions.JSONDecodeError as e: """
logging.error(e) Clears cache of chart data.
Charts are cached so that only 1 API call per 24 hours is needed since the
return {} chart data is expensive and a large download.
"""
def symbol_id(self, symbol: str) -> Dict[str, Dict]: self.charts = {}
return self.symbol_list.get(symbol.upper(), None)
def status(self) -> str:
def get_symbol_list(self): # TODO: At the moment this API is poorly documented, this function likely needs to be revisited later.
sec_resp = r.get("https://www.sec.gov/files/company_tickers.json")
sec_resp.raise_for_status() try:
sec_data = sec_resp.json() status = r.get(
"https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A",
for rank, ticker_info in sec_data.items(): timeout=5,
self.symbol_list[ticker_info["ticker"]] = { )
"ticker": ticker_info["ticker"], status.raise_for_status()
"title": ticker_info["title"], except r.HTTPError:
"mkt_cap_rank": rank, return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} Seconds."
} except r.Timeout:
return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage."
def clear_charts(self) -> None:
""" statusJSON = status.json()
Clears cache of chart data.
Charts are cached so that only 1 API call per 24 hours is needed since the if statusJSON["status"] == "ok":
chart data is expensive and a large download. return (
""" f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds."
self.charts = {} )
else:
def status(self) -> str: return f"MarketData.app is currently reporting the following status: {statusJSON['status']}"
# TODO: At the moment this API is poorly documented, this function likely needs to be revisited later.
def price_reply(self, symbol: Stock) -> str:
try: """Returns price movement of Stock for the last market day, or after hours.
status = r.get(
"https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A", Parameters
timeout=5, ----------
) symbol : Stock
status.raise_for_status()
except r.HTTPError: Returns
return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} seconds." -------
except r.Timeout: 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." Formatted markdown
"""
statusJSON = status.json()
if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
if statusJSON["status"] == "ok": price = round(quoteResp["last"][0], 2)
return ( changePercent = round(quoteResp["changepct"][0], 2)
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
) message = f"The current price of {symbol.name} is ${price} and "
else:
return f"MarketData.app is currently reporting the following status: {statusJSON['status']}" if changePercent > 0.0:
message += f"is currently up {changePercent}% for the day."
def price_reply(self, symbol: Stock) -> str: elif changePercent < 0.0:
"""Returns price movement of Stock for the last market day, or after hours. message += f"is currently down {changePercent}% for the day."
else:
Parameters message += "hasn't shown any movement for the day."
----------
symbol : Stock return message
else:
Returns return f"Getting a quote for {symbol} encountered an error."
-------
str def spark_reply(self, symbol: Stock) -> str:
Formatted markdown if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
""" changePercent = round(quoteResp["changepct"][0], 2)
return f"`{symbol.tag}`: {changePercent}%"
if quoteResp := self.get(f"stocks/quotes/{symbol.symbol}/"): else:
price = round(quoteResp["last"][0], 2) logging.warning(f"{symbol} did not have 'changepct' field.")
return f"`{symbol.tag}`"
try:
changePercent = round(quoteResp["changepct"][0], 2) def intra_reply(self, symbol: Stock) -> pd.DataFrame:
except TypeError: """Returns price data for a symbol of the past month up until the previous trading days close.
return f"The price of {symbol.name} is ${price}" Also caches multiple requests made in the same day.
message = f"The current price of {symbol.name} is ${price} and " Parameters
----------
if changePercent > 0.0: symbol : str
message += f"is currently up {changePercent}% for the day." Stock symbol.
elif changePercent < 0.0:
message += f"is currently down {changePercent}% for the day." Returns
else: -------
message += "hasn't shown any movement for the day." pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
return message """
else: schedule.run_pending()
return f"Getting a quote for {symbol} encountered an error."
try:
def spark_reply(self, symbol: Stock) -> str: return self.charts[symbol.id.upper()]
if quoteResp := self.get(f"stocks/quotes/{symbol}/"): except KeyError:
try: pass
changePercent = round(quoteResp["changepct"][0], 2)
return f"`{symbol.tag}`: {changePercent}%" resolution = "15" # minutes
except TypeError: now = dt.datetime.now(self.marketTimeZone)
pass
if self.openTime < now.time():
return f"`{symbol.tag}`" startTime = now.replace(hour=9, minute=30)
else:
def intra_reply(self, symbol: Stock) -> pd.DataFrame: startTime = now - dt.timedelta(days=1)
"""Returns price data for a symbol of the past month up until the previous trading days close.
Also caches multiple requests made in the same day. if data := self.get(
f"stocks/candles/{resolution}/{symbol}",
Parameters params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True},
---------- ):
symbol : str data.pop("s")
Stock symbol. df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s", utc=True)
Returns df.set_index("t", inplace=True)
-------
pd.DataFrame df.rename(
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. columns={
""" "o": "Open",
schedule.run_pending() "h": "High",
"l": "Low",
try: "c": "Close",
return self.charts[symbol.id.upper()] "v": "Volume",
except KeyError: },
pass inplace=True,
)
resolution = "15" # minutes
now = dt.datetime.now(self.marketTimeZone) self.charts[symbol.id.upper()] = df
return df
if self.openTime < now.time():
startTime = now.replace(hour=9, minute=30) return pd.DataFrame()
else:
startTime = now - dt.timedelta(days=1) def chart_reply(self, symbol: Stock) -> pd.DataFrame:
"""Returns price data for a symbol of the past month up until the previous trading days close.
if data := self.get( Also caches multiple requests made in the same day.
f"stocks/candles/{resolution}/{symbol}",
params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True}, Parameters
): ----------
data.pop("s") symbol : str
df = pd.DataFrame(data) Stock symbol.
df["t"] = pd.to_datetime(df["t"], unit="s", utc=True)
df.set_index("t", inplace=True) Returns
-------
df.rename( pd.DataFrame
columns={ Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
"o": "Open", """
"h": "High", schedule.run_pending()
"l": "Low",
"c": "Close", try:
"v": "Volume", return self.charts[symbol.id.upper()]
}, except KeyError:
inplace=True, pass
)
to_date = dt.datetime.today().strftime("%Y-%m-%d")
self.charts[symbol.id.upper()] = df from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d")
return df resultion = "daily"
return pd.DataFrame() if data := self.get(
f"stocks/candles/{resultion}/{symbol}",
def chart_reply(self, symbol: Stock) -> pd.DataFrame: params={
"""Returns price data for a symbol of the past month up until the previous trading days close. "from": from_date,
Also caches multiple requests made in the same day. "to": to_date,
},
Parameters ):
---------- data.pop("s")
symbol : str
Stock symbol. df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s")
Returns df.set_index("t", inplace=True)
-------
pd.DataFrame df.rename(
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. columns={
""" "o": "Open",
schedule.run_pending() "h": "High",
"l": "Low",
try: "c": "Close",
return self.charts[symbol.id.upper()] "v": "Volume",
except KeyError: },
pass inplace=True,
)
to_date = dt.datetime.today().strftime("%Y-%m-%d")
from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d") self.charts[symbol.id.upper()] = df
resultion = "daily" return df
if data := self.get( return pd.DataFrame()
f"stocks/candles/{resultion}/{symbol}",
params={
"from": from_date,
"to": to_date,
},
):
data.pop("s")
df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s")
df.set_index("t", inplace=True)
df.rename(
columns={
"o": "Open",
"h": "High",
"l": "Low",
"c": "Close",
"v": "Volume",
},
inplace=True,
)
self.charts[symbol.id.upper()] = df
return df
return pd.DataFrame()
def options_reply(self, request: str) -> str:
"""Undocumented API Usage!"""
options_data = self.get(f"options/quotes/{request}")
for key in options_data.keys():
options_data[key] = options_data[key][0]
options_data["underlying"] = "$" + options_data["underlying"]
options_data["updated"] = humanize.naturaltime(dt.datetime.now() - dt.datetime.fromtimestamp(options_data["updated"]))
options_data["expiration"] = humanize.naturaltime(
dt.datetime.now() - dt.datetime.fromtimestamp(options_data["expiration"])
)
options_data["firstTraded"] = humanize.naturaltime(
dt.datetime.now() - dt.datetime.fromtimestamp(options_data["firstTraded"])
)
rename = {
"optionSymbol": "Option Symbol",
"underlying": "Underlying",
"expiration": "Expiration",
"side": "side",
"strike": "strike",
"firstTraded": "First Traded",
"updated": "Last Updated",
"bid": "bid",
"bidSize": "bidSize",
"mid": "mid",
"ask": "ask",
"askSize": "askSize",
"last": "last",
"openInterest": "Open Interest",
"volume": "Volume",
"inTheMoney": "inTheMoney",
"intrinsicValue": "Intrinsic Value",
"extrinsicValue": "Extrinsic Value",
"underlyingPrice": "Underlying Price",
"iv": "Implied Volatility",
"delta": "delta",
"gamma": "gamma",
"theta": "theta",
"vega": "vega",
"rho": "rho",
}
options_cleaned = OrderedDict()
for old, new in rename.items():
if old in options_data:
options_cleaned[new] = options_data[old]
return options_cleaned
+50 -52
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@@ -1,52 +1,50 @@
import logging import pandas as pd
import logging
import pandas as pd
class Symbol:
class Symbol: """
""" symbol: What the user calls it. ie tsla or btc
symbol: What the user calls it. ie tsla or btc id: What the api expects. ie tsla or bitcoin
id: What the api expects. ie tsla or bitcoin name: Human readable. ie Tesla or Bitcoin
name: Human readable. ie Tesla or Bitcoin tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC
tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC """
"""
currency = "usd"
currency = "usd" pass
pass
def __init__(self, symbol) -> None:
def __init__(self, symbol) -> None: self.symbol = symbol
self.symbol = symbol self.id = symbol
self.id = symbol self.name = symbol
self.name = symbol self.tag = "$" + symbol
self.tag = "$" + symbol
def __repr__(self) -> str:
def __repr__(self) -> str: return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>"
return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>"
def __str__(self) -> str:
def __str__(self) -> str: return self.id
return self.id
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_info: dict) -> None: self.symbol = symbol
self.symbol = symbol_info["ticker"] self.id = symbol
self.id = symbol_info["ticker"] self.name = "$" + symbol.upper()
self.name = symbol_info["title"] self.tag = "$" + symbol.lower()
self.tag = "$" + symbol_info["ticker"]
self.market_cap_rank = symbol_info["mkt_cap_rank"]
class Coin(Symbol):
"""Cryptocurrency Object. Gets data from CoinGecko."""
class Coin(Symbol):
"""Cryptocurrency Object. Gets data from CoinGecko.""" def __init__(self, symbol: pd.DataFrame) -> None:
if len(symbol) > 1:
def __init__(self, symbol: pd.DataFrame) -> None: logging.info(f"Crypto with shared id:\n\t{symbol.id}")
if len(symbol) > 1: symbol = symbol.head(1)
logging.info(f"Crypto with shared id:\n\t{symbol.id}")
symbol = symbol.head(1) self.symbol = symbol.symbol.values[0]
self.id = symbol.id.values[0]
self.symbol = symbol.symbol.values[0] self.name = symbol.name.values[0]
self.id = symbol.id.values[0] self.tag = symbol.type_id.values[0].upper()
self.name = symbol.name.values[0]
self.tag = symbol.type_id.values[0].upper()
+367 -373
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@@ -1,373 +1,367 @@
import logging import logging
from typing import List from typing import List
import pandas as pd import pandas as pd
import requests as r import requests as r
import schedule import schedule
from markdownify import markdownify from markdownify import markdownify
from common.Symbol import Coin from common.Symbol import Coin
from common.utilities import rate_limited
log = logging.getLogger(__name__)
log = logging.getLogger(__name__)
class cg_Crypto:
class cg_Crypto: """
""" Functions for finding crypto info
Functions for finding crypto info """
"""
vs_currency = "usd" # simple/supported_vs_currencies for list of options
vs_currency = "usd" # simple/supported_vs_currencies for list of options
trending_cache: List[str] = []
trending_cache: List[str] = []
def __init__(self) -> None:
def __init__(self) -> None: self.get_symbol_list()
self.get_symbol_list() schedule.every().day.do(self.get_symbol_list)
schedule.every().day.do(self.get_symbol_list)
def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
# Coingecko's rate limit is 30 requests per minute. url = "https://api.coingecko.com/api/v3" + endpoint
# Since there are two bots sharing the same IP, we allocate half of that limit to each bot. resp = r.get(url, params=params, timeout=timeout)
# This results in a rate limit of 15 requests per minute for each bot. # Make sure API returned a proper status code
# Given this, the rate limit effectively becomes 1 request every 4 seconds for each bot. try:
@rate_limited(0.25) resp.raise_for_status()
def get(self, endpoint, params: dict = {}, timeout=10) -> dict: except r.exceptions.HTTPError as e:
url = "https://api.coingecko.com/api/v3" + endpoint log.error(e)
resp = r.get(url, params=params, timeout=timeout) return {}
# Make sure API returned a proper status code
try: # Make sure API returned valid JSON
resp.raise_for_status() try:
except r.exceptions.HTTPError as e: resp_json = resp.json()
log.error(e) return resp_json
return {} except r.exceptions.JSONDecodeError as e:
log.error(e)
# Make sure API returned valid JSON return {}
try:
resp_json = resp.json() def symbol_id(self, symbol) -> str:
return resp_json try:
except r.exceptions.JSONDecodeError as e: return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0]
log.error(e) except KeyError:
return {} return ""
def symbol_id(self, symbol) -> str: def get_symbol_list(self):
try: raw_symbols = self.get("/coins/list")
return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0] symbols = pd.DataFrame(data=raw_symbols)
except KeyError:
return "" # Removes all binance-peg symbols
symbols = symbols[~symbols["id"].str.contains("binance-peg")]
def get_symbol_list(self):
raw_symbols = self.get("/coins/list") symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"]
symbols = pd.DataFrame(data=raw_symbols) symbols = symbols[["id", "symbol", "name", "description"]]
symbols["type_id"] = "$$" + symbols["symbol"]
# Removes all binance-peg symbols
symbols = symbols[~symbols["id"].str.contains("binance-peg")] self.symbol_list = symbols
symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"] def status(self) -> str:
symbols = symbols[["id", "symbol", "name", "description"]] """Checks CoinGecko /ping endpoint for API issues.
symbols["type_id"] = "$$" + symbols["symbol"]
Returns
self.symbol_list = symbols -------
str
def status(self) -> str: Human readable text on status of CoinGecko API
"""Checks CoinGecko /ping endpoint for API issues. """
status = r.get(
Returns "https://api.coingecko.com/api/v3/ping",
------- timeout=5,
str )
Human readable text on status of CoinGecko API
""" try:
status = r.get( status.raise_for_status()
"https://api.coingecko.com/api/v3/ping", return (
timeout=5, f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds."
) )
except r.HTTPError:
try: return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} Seconds."
status.raise_for_status()
return ( def price_reply(self, coin: Coin) -> str:
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds." """Returns current market price or after hours if its available for a given coin symbol.
)
except r.HTTPError: Parameters
return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} seconds." ----------
symbols : list
def price_reply(self, coin: Coin) -> str: List of coin symbols.
"""Returns current market price or after hours if its available for a given coin symbol.
Returns
Parameters -------
---------- Dict[str, str]
symbols : list Each symbol passed in is a key with its value being a human readable
List of coin symbols. markdown formatted string of the symbols price and movement.
"""
Returns
------- if resp := self.get(
Dict[str, str] "/simple/price",
Each symbol passed in is a key with its value being a human readable params={
markdown formatted string of the symbols price and movement. "ids": coin.id,
""" "vs_currencies": self.vs_currency,
"include_24hr_change": "true",
if resp := self.get( },
"/simple/price", ):
params={ try:
"ids": coin.id, data = resp[coin.id]
"vs_currencies": self.vs_currency,
"include_24hr_change": "true", price = data[self.vs_currency]
}, change = data[self.vs_currency + "_24h_change"]
): if change is None:
try: change = 0
data = resp[coin.id] except KeyError:
return f"{coin.id} returned an error."
price = data[self.vs_currency]
change = data[self.vs_currency + "_24h_change"] message = f"The current price of {coin.name} is $**{price:,}**"
if change is None:
change = 0 # Determine wording of change text
except KeyError: if change > 0:
return f"{coin.id} returned an error." message += f", the coin is currently **up {change:.3f}%** for today"
elif change < 0:
message = f"The current price of {coin.name} is $**{price:,}**" message += f", the coin is currently **down {change:.3f}%** for today"
else:
# Determine wording of change text message += ", the coin hasn't shown any movement today."
if change > 0:
message += f", the coin is currently **up {change:.3f}%** for today" else:
elif change < 0: message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`"
message += f", the coin is currently **down {change:.3f}%** for today"
else: return message
message += ", the coin hasn't shown any movement today."
def intra_reply(self, symbol: Coin) -> pd.DataFrame:
else: """Returns price data for a symbol since the last market open.
message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`"
Parameters
return message ----------
symbol : str
def intra_reply(self, symbol: Coin) -> pd.DataFrame: Stock symbol.
"""Returns price data for a symbol since the last market open.
Returns
Parameters -------
---------- pd.DataFrame
symbol : str Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
Stock symbol. """
Returns if resp := self.get(
------- f"/coins/{symbol.id}/ohlc",
pd.DataFrame params={"vs_currency": self.vs_currency, "days": 1},
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. ):
""" df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
df["Date"] = pd.to_datetime(df["Date"], unit="ms")
if resp := self.get( df = df.set_index("Date")
f"/coins/{symbol.id}/ohlc", return df
params={"vs_currency": self.vs_currency, "days": 1},
): return pd.DataFrame()
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
df["Date"] = pd.to_datetime(df["Date"], unit="ms") def chart_reply(self, symbol: Coin) -> pd.DataFrame:
df = df.set_index("Date") """Returns price data for a symbol of the past month up until the previous trading days close.
return df Also caches multiple requests made in the same day.
return pd.DataFrame() Parameters
----------
def chart_reply(self, symbol: Coin) -> pd.DataFrame: symbol : str
"""Returns price data for a symbol of the past month up until the previous trading days close. Stock symbol.
Also caches multiple requests made in the same day.
Returns
Parameters -------
---------- pd.DataFrame
symbol : str Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
Stock symbol. """
Returns if resp := self.get(
------- f"/coins/{symbol.id}/ohlc",
pd.DataFrame params={"vs_currency": self.vs_currency, "days": 30},
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. ):
""" df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
df["Date"] = pd.to_datetime(df["Date"], unit="ms")
if resp := self.get( df = df.set_index("Date")
f"/coins/{symbol.id}/ohlc", return df
params={"vs_currency": self.vs_currency, "days": 30},
): return pd.DataFrame()
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
df["Date"] = pd.to_datetime(df["Date"], unit="ms") def stat_reply(self, symbol: Coin) -> str:
df = df.set_index("Date") """Gathers key statistics on coin. Mostly just CoinGecko scores.
return df
Parameters
return pd.DataFrame() ----------
symbol : Coin
def stat_reply(self, symbol: Coin) -> str:
"""Gathers key statistics on coin. Mostly just CoinGecko scores. Returns
-------
Parameters str
---------- Preformatted markdown.
symbol : Coin """
Returns if data := self.get(
------- f"/coins/{symbol.id}",
str params={
Preformatted markdown. "localization": "false",
""" },
):
if data := self.get( return f"""
f"/coins/{symbol.id}", [{data['name']}]({data['links']['homepage'][0]}) Statistics:
params={ Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,}
"localization": "false", Market Cap Ranking: {data.get('market_cap_rank',"Not Available")}
}, CoinGecko Scores:
): Overall: {data.get('coingecko_score','Not Available')}
return f""" Development: {data.get('developer_score','Not Available')}
[{data['name']}]({data['links']['homepage'][0]}) Statistics: Community: {data.get('community_score','Not Available')}
Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,} Public Interest: {data.get('public_interest_score','Not Available')}
Market Cap Ranking: {data.get('market_cap_rank',"Not Available")} """
CoinGecko Scores: else:
Overall: {data.get('coingecko_score','Not Available')} return f"{symbol.symbol} returned an error."
Development: {data.get('developer_score','Not Available')}
Community: {data.get('community_score','Not Available')} def cap_reply(self, coin: Coin) -> str:
Public Interest: {data.get('public_interest_score','Not Available')} """Gets market cap for Coin
"""
else: Parameters
return f"{symbol.symbol} returned an error." ----------
coin : Coin
def cap_reply(self, coin: Coin) -> str:
"""Gets market cap for Coin Returns
-------
Parameters str
---------- Preformatted markdown.
coin : Coin """
Returns if resp := self.get(
------- "/simple/price",
str params={
Preformatted markdown. "ids": coin.id,
""" "vs_currencies": self.vs_currency,
"include_market_cap": "true",
if resp := self.get( },
"/simple/price", ):
params={ log.debug(resp)
"ids": coin.id, try:
"vs_currencies": self.vs_currency, data = resp[coin.id]
"include_market_cap": "true",
}, price = data[self.vs_currency]
): cap = data[self.vs_currency + "_market_cap"]
log.debug(resp) except KeyError:
try: return f"{coin.id} returned an error."
data = resp[coin.id]
if cap == 0:
price = data[self.vs_currency] return f"The market cap for {coin.name} is not available for unknown reasons."
cap = data[self.vs_currency + "_market_cap"]
except KeyError: message = (
return f"{coin.id} returned an error." f"The current price of {coin.name} is $**{price:,}** and"
+ " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}"
if cap == 0: )
return f"The market cap for {coin.name} is not available for unknown reasons."
else:
message = ( message = f"The Coin: {coin.name} was not found or returned and error."
f"The current price of {coin.name} is $**{price:,}** and"
+ " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}" return message
)
def info_reply(self, symbol: Coin) -> str:
else: """Gets coin description
message = f"The Coin: {coin.name} was not found or returned and error."
Parameters
return message ----------
symbol : Coin
def info_reply(self, symbol: Coin) -> str:
"""Gets coin description Returns
-------
Parameters str
---------- Preformatted markdown.
symbol : Coin """
Returns if data := self.get(
------- f"/coins/{symbol.id}",
str params={"localization": "false"},
Preformatted markdown. ):
""" try:
return markdownify(data["description"]["en"])
if data := self.get( except KeyError:
f"/coins/{symbol.id}", return f"{symbol} does not have a description available."
params={"localization": "false"},
): return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
try:
return markdownify(data["description"]["en"]) def spark_reply(self, symbol: Coin) -> str:
except KeyError: change = self.get(
return f"{symbol} does not have a description available." "/simple/price",
params={
return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist." "ids": symbol.id,
"vs_currencies": self.vs_currency,
def spark_reply(self, symbol: Coin) -> str: "include_24hr_change": "true",
change = self.get( },
"/simple/price", )[symbol.id]["usd_24h_change"]
params={
"ids": symbol.id, return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%"
"vs_currencies": self.vs_currency,
"include_24hr_change": "true", def trending(self) -> list[str]:
}, """Gets current coins trending on coingecko
)[symbol.id]["usd_24h_change"]
Returns
return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%" -------
list[str]
def trending(self) -> list[str]: list of $$ID: NAME, CHANGE%
"""Gets current coins trending on coingecko """
Returns coins = self.get("/search/trending")
------- try:
list[str] trending = []
list of $$ID: NAME, CHANGE% for coin in coins["coins"]:
""" c = coin["item"]
coins = self.get("/search/trending") sym = c["symbol"].upper()
try: name = c["name"]
trending = [] change = self.get(
for coin in coins["coins"]: "/simple/price",
c = coin["item"] params={
"ids": c["id"],
sym = c["symbol"].upper() "vs_currencies": self.vs_currency,
name = c["name"] "include_24hr_change": "true",
change = self.get( },
"/simple/price", )[c["id"]]["usd_24h_change"]
params={
"ids": c["id"], msg = f"`$${sym}`: {name}, {change:.2f}%"
"vs_currencies": self.vs_currency,
"include_24hr_change": "true", trending.append(msg)
},
)[c["id"]]["usd_24h_change"] except Exception as e:
log.warning(e)
msg = f"`$${sym}`: {name}, {change:.2f}%" return self.trending_cache
trending.append(msg) self.trending_cache = trending
return trending
except Exception as e:
log.warning(e) def batch_price(self, coins: list[Coin]) -> list[str]:
return self.trending_cache """Gets price of a list of coins all in one API call
self.trending_cache = trending Parameters
return trending ----------
coins : list[Coin]
def batch_price(self, coins: list[Coin]) -> list[str]:
"""Gets price of a list of coins all in one API call Returns
-------
Parameters list[str]
---------- returns preformatted list of strings detailing price movement of each coin passed in.
coins : list[Coin] """
query = ",".join([c.id for c in coins])
Returns
------- prices = self.get(
list[str] "/simple/price",
returns preformatted list of strings detailing price movement of each coin passed in. params={
""" "ids": query,
query = ",".join([c.id for c in coins]) "vs_currencies": self.vs_currency,
"include_24hr_change": "true",
prices = self.get( },
"/simple/price", )
params={
"ids": query, replies = []
"vs_currencies": self.vs_currency, for coin in coins:
"include_24hr_change": "true", if coin.id in prices:
}, p = prices[coin.id]
)
if p.get("usd_24h_change") is None:
replies = [] p["usd_24h_change"] = 0
for coin in coins:
if coin.id in prices: replies.append(
p = prices[coin.id] f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours."
)
if p.get("usd_24h_change") is None:
p["usd_24h_change"] = 0 return replies
replies.append(
f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours."
)
return replies
-8
View File
@@ -1,8 +0,0 @@
cachetools==5.3.1
humanize==4.8.0
markdownify==0.11.6
mplfinance==0.12.10b0
pandas==2.1.1
requests==2.31.0
rush==2021.4.0
schedule==1.2.1
+393 -407
View File
@@ -1,407 +1,393 @@
"""Function that routes symbols to the correct API provider. """Function that routes symbols to the correct API provider.
""" """
import datetime import datetime
import logging import logging
import random import random
import re import re
from typing import Dict
import pandas as pd
import pandas as pd import schedule
import schedule from cachetools import TTLCache, cached
from cachetools import TTLCache, cached
from common.cg_Crypto import cg_Crypto
from common.cg_Crypto import cg_Crypto from common.MarketData import MarketData
from common.MarketData import MarketData from common.Symbol import Coin, Stock, Symbol
from common.Symbol import Coin, Stock, Symbol
from typing import Dict
log = logging.getLogger(__name__)
log = logging.getLogger(__name__)
class Router:
STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})" class Router:
CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})" STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})"
trending_count: Dict[str, float] = {} CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})"
trending_count: Dict[str, float] = {}
def __init__(self):
self.stock = MarketData() def __init__(self):
self.crypto = cg_Crypto() self.stock = MarketData()
self.crypto = cg_Crypto()
schedule.every().hour.do(self.trending_decay)
schedule.every().hour.do(self.trending_decay)
def trending_decay(self, decay=0.5):
"""Decays the value of each trending stock by a multiplier""" def trending_decay(self, decay=0.5):
t_copy = {} """Decays the value of each trending stock by a multiplier"""
dead_keys = [] t_copy = {}
if self.trending_count: dead_keys = []
t_copy = self.trending_count.copy() if self.trending_count:
for key in t_copy.keys(): t_copy = self.trending_count.copy()
if t_copy[key] < 0.01: for key in t_copy.keys():
# Prune Keys if t_copy[key] < 0.01:
dead_keys.append(key) # This just makes sure were not keeping around keys that havent been called in a very long time.
else: dead_keys.append(key)
t_copy[key] = t_copy[key] * decay else:
for dead in dead_keys: t_copy[key] = t_copy[key] * decay
t_copy.pop(dead) for dead in dead_keys:
t_copy.pop(dead)
self.trending_count = t_copy.copy()
log.info("Decayed trending symbols.") self.trending_count = t_copy.copy()
log.info("Decayed trending symbols.")
def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Coin]:
"""Finds stock tickers starting with a dollar sign, and cryptocurrencies with two dollar signs def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Symbol]:
in a blob of text and returns them in a list. """Finds stock tickers starting with a dollar sign, and cryptocurrencies with two dollar signs
in a blob of text and returns them in a list.
Parameters
---------- Parameters
text : str ----------
Blob of text. text : str
Blob of text.
Returns
------- Returns
list[Symbol] -------
List of stock symbols as Symbol objects list[Symbol]
""" List of stock symbols as Symbol objects
schedule.run_pending() """
schedule.run_pending()
symbols: list[Symbol] = []
stock_matches = set(re.findall(self.STOCK_REGEX, text)) symbols: list[Symbol] = []
coin_matches = set(re.findall(self.CRYPTO_REGEX, text)) stocks = set(re.findall(self.STOCK_REGEX, text))
for stock in stocks:
for stock_match in stock_matches: # Market data lacks tools to check if a symbol is valid.
# Market data lacks tools to check if a symbol is valid. symbols.append(Stock(stock))
if stock_info := self.stock.symbol_id(stock_match):
symbols.append(Stock(stock_info)) coins = set(re.findall(self.CRYPTO_REGEX, text))
else: for coin in coins:
log.info(f"{stock_match} is not in list of stocks") sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin.lower(), case=False)]
if sym.empty:
for coin_match in coin_matches: log.info(f"{coin} is not in list of coins")
sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin_match.lower(), case=False)] else:
if sym.empty: symbols.append(Coin(sym))
log.info(f"{coin_match} is not in list of coins") if symbols:
else: for symbol in symbols:
symbols.append(Coin(sym)) self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight
if symbols: log.debug(self.trending_count)
for symbol in symbols:
self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight return symbols
log.debug(self.trending_count)
def status(self, bot_resp) -> str:
return symbols """Checks for any issues with APIs.
def status(self, bot_resp) -> str: Returns
"""Checks for any issues with APIs. -------
str
Returns Human readable text on status of the bot and relevant APIs
------- """
str
Human readable text on status of the bot and relevant APIs stats = f"""
""" Bot Status:
{bot_resp}
stats = f"""
Bot Status: Stock Market Data:
{bot_resp} {self.stock.status()}
Stock Market Data: Cryptocurrency Data:
{self.stock.status()} {self.crypto.status()}
"""
Cryptocurrency Data:
{self.crypto.status()} log.warning(stats)
"""
return stats
log.warning(stats)
def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame:
return stats """Searches based on the shortest symbol that contains the same string as the search.
Should be very fast compared to a fuzzy search.
def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame:
"""Searches based on the shortest symbol that contains the same string as the search. Parameters
Should be very fast compared to a fuzzy search. ----------
search : str
Parameters String used to match against symbols.
----------
search : str Returns
String used to match against symbols. -------
list[tuple[str, str]]
Returns Each tuple contains: (Symbol, Issue Name).
------- """
list[tuple[str, str]]
Each tuple contains: (Symbol, Issue Name). df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list])
"""
df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values(
# df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list]) by="type_id", key=lambda x: x.str.len()
df = self.crypto.symbol_list )
df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values( symbols = df.head(matches)
by="type_id", key=lambda x: x.str.len() symbols["price_reply"] = symbols["type_id"].apply(
) lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0]
)
symbols = df.head(matches)
symbols["price_reply"] = symbols["type_id"].apply( return symbols
lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0]
) def price_reply(self, symbols: list[Symbol]) -> list[str]:
"""Returns current market price or after hours if its available for a given stock symbol.
return symbols
Parameters
def price_reply(self, symbols: list[Symbol]) -> list[str]: ----------
"""Returns current market price or after hours if its available for a given stock symbol. symbols : list
List of stock symbols.
Parameters
---------- Returns
symbols : list -------
List of stock symbols. Dict[str, str]
Each symbol passed in is a key with its value being a human readable
Returns markdown formatted string of the symbols price and movement.
------- """
Dict[str, str] replies = []
Each symbol passed in is a key with its value being a human readable
markdown formatted string of the symbols price and movement. for symbol in symbols:
""" log.info(symbol)
replies = [] if isinstance(symbol, Stock):
replies.append(self.stock.price_reply(symbol))
for symbol in symbols: elif isinstance(symbol, Coin):
log.info(symbol) replies.append(self.crypto.price_reply(symbol))
if isinstance(symbol, Stock): else:
replies.append(self.stock.price_reply(symbol)) log.info(f"{symbol} is not a Stock or Coin")
elif isinstance(symbol, Coin):
replies.append(self.crypto.price_reply(symbol)) return replies
else:
log.info(f"{symbol} is not a Stock or Coin") def info_reply(self, symbols: list) -> list[str]:
"""Gets information on stock symbols.
return replies
Parameters
def info_reply(self, symbols: list) -> list[str]: ----------
"""Gets information on stock symbols. symbols : list[str]
List of stock symbols.
Parameters
---------- Returns
symbols : list[str] -------
List of stock symbols. Dict[str, str]
Each symbol passed in is a key with its value being a human readable formatted
Returns string of the symbols information.
------- """
Dict[str, str] replies = []
Each symbol passed in is a key with its value being a human readable formatted
string of the symbols information. for symbol in symbols:
""" if isinstance(symbol, Stock):
replies = [] replies.append(self.stock.info_reply(symbol))
elif isinstance(symbol, Coin):
for symbol in symbols: replies.append(self.crypto.info_reply(symbol))
if isinstance(symbol, Stock): else:
replies.append(self.stock.info_reply(symbol)) log.debug(f"{symbol} is not a Stock or Coin")
elif isinstance(symbol, Coin):
replies.append(self.crypto.info_reply(symbol)) return replies
else:
log.debug(f"{symbol} is not a Stock or Coin") def intra_reply(self, symbol: Symbol) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open.
return replies
Parameters
def intra_reply(self, symbol: Symbol) -> pd.DataFrame: ----------
"""Returns price data for a symbol since the last market open. symbol : str
Stock symbol.
Parameters
---------- Returns
symbol : str -------
Stock symbol. pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available.
Returns Otherwise returns empty pd.DataFrame.
------- """
pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. if isinstance(symbol, Stock):
Otherwise returns empty pd.DataFrame. return self.stock.intra_reply(symbol)
""" elif isinstance(symbol, Coin):
return self.crypto.intra_reply(symbol)
if isinstance(symbol, Stock): else:
return self.stock.intra_reply(symbol) log.debug(f"{symbol} is not a Stock or Coin")
elif isinstance(symbol, Coin): return pd.DataFrame()
return self.crypto.intra_reply(symbol)
else: def chart_reply(self, symbol: Symbol) -> pd.DataFrame:
log.debug(f"{symbol} is not a Stock or Coin") """Returns price data for a symbol of the past month up until the previous trading days close.
return pd.DataFrame() Also caches multiple requests made in the same day.
def chart_reply(self, symbol: Symbol) -> pd.DataFrame: Parameters
"""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. symbol : str
Stock symbol.
Parameters
---------- Returns
symbol : str -------
Stock symbol. pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available.
Returns Otherwise returns empty pd.DataFrame.
------- """
pd.DataFrame if isinstance(symbol, Stock):
Returns a timeseries dataframe with high, low, and volume data if its available. return self.stock.chart_reply(symbol)
Otherwise returns empty pd.DataFrame. elif isinstance(symbol, Coin):
""" return self.crypto.chart_reply(symbol)
if isinstance(symbol, Stock): else:
return self.stock.chart_reply(symbol) log.debug(f"{symbol} is not a Stock or Coin")
elif isinstance(symbol, Coin): return pd.DataFrame()
return self.crypto.chart_reply(symbol)
else: def stat_reply(self, symbols: list[Symbol]) -> list[str]:
log.debug(f"{symbol} is not a Stock or Coin") """Gets key statistics for each symbol in the list
return pd.DataFrame()
Parameters
def stat_reply(self, symbols: list[Symbol]) -> list[str]: ----------
"""Gets key statistics for each symbol in the list symbols : list[str]
List of stock symbols
Parameters
---------- Returns
symbols : list[str] -------
List of stock symbols Dict[str, str]
Each symbol passed in is a key with its value being a human readable
Returns formatted string of the symbols statistics.
------- """
Dict[str, str] replies = []
Each symbol passed in is a key with its value being a human readable
formatted string of the symbols statistics. for symbol in symbols:
""" if isinstance(symbol, Stock):
replies = [] replies.append(self.stock.stat_reply(symbol))
elif isinstance(symbol, Coin):
for symbol in symbols: replies.append(self.crypto.stat_reply(symbol))
if isinstance(symbol, Stock): else:
replies.append(self.stock.stat_reply(symbol)) log.debug(f"{symbol} is not a Stock or Coin")
elif isinstance(symbol, Coin):
replies.append(self.crypto.stat_reply(symbol)) return replies
else:
log.debug(f"{symbol} is not a Stock or Coin") def cap_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets market cap for each symbol in the list
return replies
Parameters
def cap_reply(self, symbols: list[Symbol]) -> list[str]: ----------
"""Gets market cap for each symbol in the list symbols : list[str]
List of stock symbols
Parameters
---------- Returns
symbols : list[str] -------
List of stock symbols Dict[str, str]
Each symbol passed in is a key with its value being a human readable
Returns formatted string of the symbols market cap.
------- """
Dict[str, str] replies = []
Each symbol passed in is a key with its value being a human readable
formatted string of the symbols market cap. for symbol in symbols:
""" if isinstance(symbol, Stock):
replies = [] replies.append(self.stock.cap_reply(symbol))
elif isinstance(symbol, Coin):
for symbol in symbols: replies.append(self.crypto.cap_reply(symbol))
if isinstance(symbol, Stock): else:
replies.append(self.stock.cap_reply(symbol)) log.debug(f"{symbol} is not a Stock or Coin")
elif isinstance(symbol, Coin):
replies.append(self.crypto.cap_reply(symbol)) return replies
else:
log.debug(f"{symbol} is not a Stock or Coin") def spark_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets change for each symbol and returns it in a compact format
return replies
Parameters
def spark_reply(self, symbols: list[Symbol]) -> list[str]: ----------
"""Gets change for each symbol and returns it in a compact format symbols : list[str]
List of stock symbols
Parameters
---------- Returns
symbols : list[str] -------
List of stock symbols list[str]
List of human readable strings.
Returns """
------- replies = []
list[str]
List of human readable strings. for symbol in symbols:
""" if isinstance(symbol, Stock):
replies = [] replies.append(self.stock.spark_reply(symbol))
elif isinstance(symbol, Coin):
for symbol in symbols: replies.append(self.crypto.spark_reply(symbol))
if isinstance(symbol, Stock): else:
replies.append(self.stock.spark_reply(symbol)) log.debug(f"{symbol} is not a Stock or Coin")
elif isinstance(symbol, Coin):
replies.append(self.crypto.spark_reply(symbol)) return replies
else:
log.debug(f"{symbol} is not a Stock or Coin") @cached(cache=TTLCache(maxsize=1024, ttl=600))
def trending(self) -> str:
return replies """Checks APIs for trending symbols.
@cached(cache=TTLCache(maxsize=1024, ttl=600)) Returns
def trending(self) -> str: -------
"""Checks APIs for trending symbols. list[str]
List of preformatted strings to be sent to user.
Returns """
-------
list[str] # stocks = self.stock.trending()
List of preformatted strings to be sent to user. coins = self.crypto.trending()
"""
reply = ""
# stocks = self.stock.trending()
coins = self.crypto.trending() log.warning(self.trending_count)
if self.trending_count:
reply = "" reply += "🔥Trending on the Stock Bot:\n`"
reply += "" * len("Trending on the Stock Bot:") + "`\n"
log.warning(self.trending_count)
if self.trending_count: sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5]
reply += "🔥Trending on the Stock Bot:\n`" log.warning(sorted_trending)
reply += "" * len("Trending on the Stock Bot:") + "`\n" for t in sorted_trending:
reply += self.spark_reply(self.find_symbols(t))[0] + "\n"
sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5]
log.warning(sorted_trending) if coins:
for t in sorted_trending: reply += "\n\n🦎Trending Crypto:\n`"
reply += self.spark_reply(self.find_symbols(t))[0] + "\n" reply += "" * len("Trending Crypto:") + "`\n"
for coin in coins:
if coins: reply += coin + "\n"
reply += "\n\n🦎Trending on CoinGecko:\n`"
reply += "" * len("Trending on CoinGecko:") + "`\n" if "`$GME" in reply:
for coin in coins: reply = reply.replace("🔥", "🦍")
reply += coin + "\n"
if reply:
if "`$GME" in reply: return reply
reply = reply.replace("🔥", "🦍") else:
log.warning("Failed to collect trending data.")
if reply: return "Trending data is not currently available."
return reply
else: def random_pick(self) -> str:
log.warning("Failed to collect trending data.") choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"]))
return "Trending data is not currently available." hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y")
def random_pick(self) -> str: return f"{choice}\nBuy and hold until: {hold}"
# choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"]))
choice = random.choice(list(self.crypto.symbol_list["description"])) def batch_price_reply(self, symbols: list[Symbol]) -> list[str]:
hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y") """Returns current market price or after hours if its available for a given stock symbol.
return f"{choice}\nBuy and hold until: {hold}" Parameters
----------
def batch_price_reply(self, symbols: list[Symbol]) -> list[str]: symbols : list
"""Returns current market price or after hours if its available for a given stock symbol. List of stock symbols.
Parameters Returns
---------- -------
symbols : list Dict[str, str]
List of stock symbols. Each symbol passed in is a key with its value being a human readable
markdown formatted string of the symbols price and movement.
Returns """
------- replies = []
Dict[str, str] stocks = []
Each symbol passed in is a key with its value being a human readable coins = []
markdown formatted string of the symbols price and movement.
""" for symbol in symbols:
replies = [] if isinstance(symbol, Stock):
stocks = [] stocks.append(symbol)
coins = [] elif isinstance(symbol, Coin):
coins.append(symbol)
for symbol in symbols: else:
if isinstance(symbol, Stock): log.debug(f"{symbol} is not a Stock or Coin")
stocks.append(symbol)
elif isinstance(symbol, Coin): if stocks:
coins.append(symbol) for stock in stocks:
else: replies.append(self.stock.price_reply(stock))
log.debug(f"{symbol} is not a Stock or Coin") if coins:
replies = replies + self.crypto.batch_price(coins)
if stocks:
for stock in stocks: return replies
replies.append(self.stock.price_reply(stock))
if coins:
replies = replies + self.crypto.batch_price(coins)
return replies
def options(self, request: str, symbols: list[Symbol]) -> Dict:
request = request.lower()
if len(symbols) == 1:
symbol = symbols[0]
request = request.replace(symbol.tag.lower(), symbol.symbol.lower())
return self.stock.options_reply(request)
else:
return self.stock.options_reply(request)
-31
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@@ -1,31 +0,0 @@
import time
import logging
log = logging.getLogger(__name__)
def rate_limited(max_per_second):
"""
Decorator that ensures the wrapped function is called at most `max_per_second` times per second.
"""
min_interval = 1.0 / max_per_second
def decorate(func):
last_called = [0.0]
def rate_limited_function(*args, **kwargs):
elapsed = time.time() - last_called[0]
left_to_wait = min_interval - elapsed
if left_to_wait > 0:
log.info(f"Rate limit exceeded. Waiting for {left_to_wait:.2f} seconds.")
time.sleep(left_to_wait)
ret = func(*args, **kwargs)
last_called[0] = time.time()
return ret
return rate_limited_function
return decorate
+8 -12
View File
@@ -1,12 +1,8 @@
-r common/requirements.txt -r telegram/requirements.txt
-r site/requirements.txt black==23.3.0
black==23.9.1 flake8==5.0.4
ipython==8.16.1 Flake8-pyproject==1.2.3
jupyter_client==8.4.0 pylama==8.4.1
jupyter_core==5.4.0 mypy==1.2.0
pylama==8.4.1 types-cachetools==5.3.0.5
mypy==1.5.1 types-pytz==2023.3.0.0
types-cachetools==5.3.0.6
types-pytz==2023.3.1.1
ruff==0.0.292
isort==5.12.0
+65 -59
View File
@@ -1,59 +1,65 @@
"""Functions and Info specific to the discord Bot """Functions and Info specific to the discord Bot
""" """
import re import re
import requests as r import requests as r
class D_info: class D_info:
license = re.sub( license = re.sub(
r"\b\n", r"\b\n",
" ", " ",
r.get("https://gitlab.com/simple-stock-bots/simple-stock-bot/-/raw/master/LICENSE").text, r.get("https://gitlab.com/simple-stock-bots/simple-discord-stock-bot/-/raw/master/LICENSE").text,
) )
help_text = """ help_text = """
Thanks for using this bot. If you like it, [support me with a beer](https://www.buymeacoffee.com/Anson). 🍻 Thanks for using this bot, consider supporting it by [buying me a beer.](https://www.buymeacoffee.com/Anson)
For stock data or hosting your own bot, use my link. This helps keep the bot free: If you are interested in stock market data, or want to host your own bot, be sure to use my affiliate link so that the bot can stay free: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord)
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
Keep up with the latest news for the bot in its discord Channel: https://t.me/simplestockbotnews
**Updates**: Join the bot's discord: https://t.me/simplestockbotnews.
Full documentation on using and running your own stock bot can be found on the bots [docs.](https://docs.simplestockbot.com)
**Documentation**: All details about the bot are at [docs](https://simplestockbot.com).
The bot detects _"Symbols"_ using either one `$` or two `$$` dollar signs before the symbol. One dollar sign is for a stock market ticker, while two is for a cryptocurrency coin. `/chart $$eth` would return a chart of the past month of data for Ethereum, while `/dividend $psec` returns dividend information for Prospect Capital stock.
The bot reads _"Symbols"_. Use `$` for stock tickers and `$$` for cryptocurrencies. For example:
- `/chart $$eth` gives Ethereum's monthly chart. Simply calling a symbol in any message that the bot can see will also return the price. So a message like: `I wonder if $$btc will go to the Moon now that $tsla accepts it as payment` would return the current price for both Bitcoin and Tesla.
- `/dividend $psec` shows Prospect Capital's dividend.
**Commands**
Type any symbol, and the bot shows its price. Like: `Is $$btc rising since $tsla accepts it?` will give Bitcoin and Tesla prices. - `/donate [amount in USD]` to donate. 🎗️
- `/intra $[symbol]` Plot of the stocks movement since the last market open. 📈
**Commands** - `/chart $[symbol]` Plot of the stocks movement for the past 1 month. 📊
- `/donate [USD amount]`: Support the bot. 🎗️ - `/trending` Trending Stocks and Cryptos. 💬
- `/intra $[symbol]`: See stock's latest movement. 📈 - `/help` Get some help using the bot. 🆘
- `/chart $[symbol]`: View a month's stock activity. 📊
- `/trending`: Check trending stocks and cryptos. 💬 **Inline Features**
- `/help`: Need help? Ask here. 🆘 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.
**Inline Features** Market data is provided by [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord)
Type @SimpleStockBot `[search]` anywhere to find and get stock/crypto prices. Note: Prices might be delayed up to an hour.
If you believe the bot is not behaving properly run `/status` or [get in touch](https://docs.simplestockbot.com/contact).
Data from: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord). """
Issues with the bot? Use `/status` or [contact us](https://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
donate_text = """ [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
Simple Stock Bot runs purely on [donations.](https://www.buymeacoffee.com/Anson)
Every donation supports server costs and The easiest way to donate is to run the `/donate [amount in USD]` command with US dollars you would like to donate.
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) provides our data.
Example: `/donate 2` would donate 2 USD.
**How to Donate?**
1. Use `/donate [amount in USD]` command. An alternative way to donate is through https://www.buymeacoffee.com/Anson which requires no account and accepts Paypal or Credit card.
- E.g., `/donate 2` donates 2 USD. If you have any questions see the [website](https://docs.simplestockbot.com)
2. Or, donate at [buymeacoffee](https://www.buymeacoffee.com/Anson).
- It's quick, doesn't need an account, and accepts Paypal or Credit card. """
Questions? Visit our [website](https://simplestockbot.com).
""" commands = """ # Not used by the bot but for updating commands with BotFather
donate - Donate to the bot 🎗️
help - Get some help using the bot. 🆘
trending - Trending Stocks and Cryptos. 💬
intra - $[symbol] Plot since the last market open. 📈
chart - $[chart] Plot of the past month. 📊
"""
+17 -18
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@@ -1,19 +1,18 @@
FROM python:3.11-buster AS builder FROM python:3.11-buster AS builder
COPY discord/discord-reqs.txt . COPY discord/requirements.txt .
COPY common/requirements.txt .
RUN pip install --user -r requirements.txt
RUN pip install --user -r discord-reqs.txt
FROM python:3.11-slim
FROM python:3.11-slim
ENV MPLBACKEND=Agg
ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local
COPY --from=builder /root/.local /root/.local
COPY common common
COPY common common COPY discord .
COPY discord .
CMD [ "python", "./bot.py" ] CMD [ "python", "./bot.py" ]
+202 -256
View File
@@ -1,256 +1,202 @@
import datetime import datetime
import io import io
import logging import logging
import os import os
import mplfinance as mpf import mplfinance as mpf
import nextcord import nextcord
from D_info import D_info from nextcord.ext import commands
from nextcord.ext import commands
from D_info import D_info
from common.symbol_router import Router from common.symbol_router import Router
DISCORD_TOKEN = os.environ["DISCORD"] DISCORD_TOKEN = os.environ["DISCORD"]
s = Router() s = Router()
d = D_info() d = D_info()
intents = nextcord.Intents.default() intents = nextcord.Intents.default()
client = nextcord.Client(intents=intents) client = nextcord.Client(intents=intents)
bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents) bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents)
logger = logging.getLogger("nextcord") logger = logging.getLogger("nextcord")
logger.setLevel(logging.INFO) logger.setLevel(logging.INFO)
handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w") handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w")
handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s")) handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s"))
logger.addHandler(handler) logger.addHandler(handler)
@bot.event @bot.event
async def on_ready(): async def on_ready():
logging.info("Starting Simple Stock Bot") logging.info("Starting Simple Stock Bot")
logging.info(f"Logged in as {bot.user.name} {bot.user.id}") logging.info(f"Logged in as {bot.user.name} {bot.user.id}")
@bot.command() @bot.command()
async def status(ctx: commands): async def status(ctx: commands):
"""Debug command for diagnosing if the bot is experiencing any issues.""" """Debug command for diagnosing if the bot is experiencing any issues."""
logging.info(f"Status command ran by {ctx.message.author}") logging.warning(f"Status command ran by {ctx.message.author}")
message = "" message = ""
try: try:
message = "Contact MisterBiggs#0465 if you need help.\n" message = "Contact MisterBiggs#0465 if you need help.\n"
message += s.status(f"Bot recieved your message in: {bot.latency*10:.4f} seconds") + "\n" message += s.status(f"Bot recieved your message in: {bot.latency*1000:.4f}ms") + "\n"
except Exception as ex: except Exception as ex:
logging.critical(ex) logging.critical(ex)
message += ( message += (
f"*\n\nERROR ENCOUNTERED:*\n{ex}\n\n" f"*\n\nERROR ENCOUNTERED:*\n{ex}\n\n"
+ "*The bot encountered an error while attempting to find errors. Please contact the bot admin.*" + "*The bot encountered an error while attempting to find errors. Please contact the bot admin.*"
) )
await ctx.send(message) await ctx.send(message)
@bot.command() @bot.command()
async def license(ctx: commands): async def license(ctx: commands):
"""Returns the bots license agreement.""" """Returns the bots license agreement."""
await ctx.send(d.license) await ctx.send(d.license)
@bot.command() @bot.command()
async def donate(ctx: commands): async def donate(ctx: commands):
"""Details on how to support the development and hosting of the bot.""" """Details on how to support the development and hosting of the bot."""
await ctx.send(d.donate_text) await ctx.send(d.donate_text)
@bot.command() @bot.command()
async def search(ctx: commands, *, query: str): async def search(ctx: commands, *, query: str):
"""Search for a stock symbol using either symbol of company name.""" """Search for a stock symbol using either symbol of company name."""
results = s.search_symbols(query) results = s.search_symbols(query)
if results: if results:
reply = "*Search Results:*\n`$ticker: Company Name`\n" reply = "*Search Results:*\n`$ticker: Company Name`\n"
for query in results: for query in results:
reply += "`" + query[1] + "`\n" reply += "`" + query[1] + "`\n"
await ctx.send(reply) await ctx.send(reply)
@bot.command() @bot.command()
async def crypto(ctx: commands, _: str): async def crypto(ctx: commands, _: str):
"""Get the price of a cryptocurrency using in USD.""" """Get the price of a cryptocurrency using in USD."""
await ctx.send("Crypto now has native support. Any crypto can be called using two dollar signs: `$$eth` `$$btc` `$$doge`") await ctx.send("Crypto now has native support. Any crypto can be called using two dollar signs: `$$eth` `$$btc` `$$doge`")
@bot.command() @bot.command()
async def intra(ctx: commands, sym: str): async def intra(ctx: commands, sym: str):
"""Get a chart for the stocks movement since market open.""" """Get a chart for the stocks movement since market open."""
symbols = s.find_symbols(sym) symbols = s.find_symbols(sym)
if len(symbols): if len(symbols):
symbol = symbols[0] symbol = symbols[0]
else: else:
await ctx.send("No symbols or coins found.") await ctx.send("No symbols or coins found.")
return return
df = s.intra_reply(symbol) df = s.intra_reply(symbol)
if df.empty: if df.empty:
await ctx.send("Invalid symbol please see `/help` for usage details.") await ctx.send("Invalid symbol please see `/help` for usage details.")
return return
with ctx.channel.typing(): with ctx.channel.typing():
buf = io.BytesIO() buf = io.BytesIO()
mpf.plot( mpf.plot(
df, df,
type="renko", type="renko",
title=f"\n{symbol.name}", title=f"\n{symbol.name}",
volume="volume" in df.keys(), volume="volume" in df.keys(),
style="yahoo", style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
) )
buf.seek(0) buf.seek(0)
# Get price so theres no request lag after the image is sent # Get price so theres no request lag after the image is sent
price_reply = s.price_reply([symbol])[0] price_reply = s.price_reply([symbol])[0]
await ctx.send( await ctx.send(
file=nextcord.File( file=nextcord.File(
buf, buf,
filename=f"{symbol.name}:intra{datetime.date.today().strftime('%S%M%d%b%Y')}.png", filename=f"{symbol.name}:intra{datetime.date.today().strftime('%S%M%d%b%Y')}.png",
), ),
content=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to" content=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to"
+ f" {df.last_valid_index().strftime('%d %b at %H:%M')}", + f" {df.last_valid_index().strftime('%d %b at %H:%M')}",
) )
await ctx.send(price_reply) await ctx.send(price_reply)
@bot.command() @bot.command()
async def chart(ctx: commands, sym: str): async def chart(ctx: commands, sym: str):
"""returns a chart of the past month of data for a symbol""" """returns a chart of the past month of data for a symbol"""
symbols = s.find_symbols(sym) symbols = s.find_symbols(sym)
if len(symbols): if len(symbols):
symbol = symbols[0] symbol = symbols[0]
else: else:
await ctx.send("No symbols or coins found.") await ctx.send("No symbols or coins found.")
return return
df = s.chart_reply(symbol) df = s.chart_reply(symbol)
if df.empty: if df.empty:
await ctx.send("Invalid symbol please see `/help` for usage details.") await ctx.send("Invalid symbol please see `/help` for usage details.")
return return
with ctx.channel.typing(): with ctx.channel.typing():
buf = io.BytesIO() buf = io.BytesIO()
mpf.plot( mpf.plot(
df, df,
type="candle", type="candle",
title=f"\n{symbol.name}", title=f"\n{symbol.name}",
volume="volume" in df.keys(), volume="volume" in df.keys(),
style="yahoo", style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
) )
buf.seek(0) buf.seek(0)
# Get price so theres no request lag after the image is sent # Get price so theres no request lag after the image is sent
price_reply = s.price_reply([symbol])[0] price_reply = s.price_reply([symbol])[0]
await ctx.send( await ctx.send(
file=nextcord.File( file=nextcord.File(
buf, buf,
filename=f"{symbol.name}:1M{datetime.date.today().strftime('%d%b%Y')}.png", filename=f"{symbol.name}:1M{datetime.date.today().strftime('%d%b%Y')}.png",
), ),
content=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}" content=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}"
+ f" to {df.last_valid_index().strftime('%d, %b %Y')}", + f" to {df.last_valid_index().strftime('%d, %b %Y')}",
) )
await ctx.send(price_reply) await ctx.send(price_reply)
@bot.command() @bot.command()
async def cap(ctx: commands, sym: str): async def cap(ctx: commands, sym: str):
"""Get the market cap of a symbol""" """Get the market cap of a symbol"""
symbols = s.find_symbols(sym) symbols = s.find_symbols(sym)
if symbols: if symbols:
with ctx.channel.typing(): with ctx.channel.typing():
for reply in s.cap_reply(symbols): for reply in s.cap_reply(symbols):
await ctx.send(reply) await ctx.send(reply)
@bot.command() @bot.command()
async def trending(ctx: commands): async def trending(ctx: commands):
"""Get a list of Trending Stocks and Coins""" """Get a list of Trending Stocks and Coins"""
with ctx.channel.typing(): with ctx.channel.typing():
await ctx.send(s.trending()) await ctx.send(s.trending())
@bot.event @bot.event
async def on_message(message): async def on_message(message):
# Ignore messages from the bot itself if message.author.id == bot.user.id:
if message.author.id == bot.user.id: return
return if message.content:
if message.content[0] == "/":
content_lower = message.content.lower() await bot.process_commands(message)
return
# Process commands starting with "/"
if message.content.startswith("/"): if "$" in message.content:
await bot.process_commands(message) symbols = s.find_symbols(message.content)
return
if symbols:
symbols = None for reply in s.price_reply(symbols):
if "$" in message.content: await message.channel.send(reply)
symbols = s.find_symbols(message.content) return
if "call" in content_lower or "put" in content_lower:
await handle_options(message, symbols) bot.run(DISCORD_TOKEN)
return
if symbols:
for reply in s.price_reply(symbols):
await message.channel.send(reply)
return
async def handle_options(message, symbols):
logging.info("Options detected")
try:
options_data = s.options(message.content.lower(), symbols)
# Create the embed directly within the function
embed = nextcord.Embed(title=options_data["Option Symbol"], description=options_data["Underlying"], color=0x3498DB)
# Key details
details = (
f"Expiration: {options_data['Expiration']}\n" f"Side: {options_data['side']}\n" f"Strike: {options_data['strike']}"
)
embed.add_field(name="Details", value=details, inline=False)
# Pricing info
pricing_info = (
f"Bid: {options_data['bid']} (Size: {options_data['bidSize']})\n"
f"Mid: {options_data['mid']}\n"
f"Ask: {options_data['ask']} (Size: {options_data['askSize']})\n"
f"Last: {options_data['last']}"
)
embed.add_field(name="Pricing", value=pricing_info, inline=False)
# Volume and open interest
volume_info = f"Open Interest: {options_data['Open Interest']}\n" f"Volume: {options_data['Volume']}"
embed.add_field(name="Activity", value=volume_info, inline=False)
# Greeks
greeks_info = (
f"IV: {options_data['Implied Volatility']}\n"
f"Delta: {options_data['delta']}\n"
f"Gamma: {options_data['gamma']}\n"
f"Theta: {options_data['theta']}\n"
f"Vega: {options_data['vega']}\n"
f"Rho: {options_data['rho']}"
)
embed.add_field(name="Greeks", value=greeks_info, inline=False)
# Send the created embed
await message.channel.send(embed=embed)
except KeyError as ex:
logging.warning(f"KeyError processing options for message {message.content}: {ex}")
bot.run(DISCORD_TOKEN)
-2
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@@ -1,2 +0,0 @@
nextcord==2.6.0
-r requirements.txt
+7
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@@ -0,0 +1,7 @@
nextcord==2.4.2
requests==2.25.1
pandas==2.0.0
schedule==1.0.0
mplfinance==0.12.7a5
markdownify==0.6.5
cachetools==4.2.2
+3 -2
View File
@@ -1,12 +1,13 @@
version: "3" version: '3'
services: services:
telegram: telegram:
build: build:
context: . context: .
dockerfile: telegram/Dockerfile dockerfile: telegram/Dockerfile
image: registry.gitlab.com/simple-stock-bots/simple-telegram-stock-bot
env_file: .env env_file: .env
discord: discord:
build: build:
context: . context: .
dockerfile: discord/Dockerfile dockerfile: discord/Dockerfile
env_file: .env env_file: .env
-27
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@@ -1,27 +0,0 @@
{
"name": "simple-stock-bot",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"devDependencies": {
"prettier": "3.0.3"
}
},
"node_modules/prettier": {
"version": "3.0.3",
"resolved": "https://registry.npmjs.org/prettier/-/prettier-3.0.3.tgz",
"integrity": "sha512-L/4pUDMxcNa8R/EthV08Zt42WBO4h1rarVtK0K+QJG0X187OLo7l699jWw0GKuwzkPQ//jMFA/8Xm6Fh3J/DAg==",
"dev": true,
"bin": {
"prettier": "bin/prettier.cjs"
},
"engines": {
"node": ">=14"
},
"funding": {
"url": "https://github.com/prettier/prettier?sponsor=1"
}
}
}
}
-5
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@@ -1,5 +0,0 @@
{
"devDependencies": {
"prettier": "3.0.3"
}
}
+8 -11
View File
@@ -1,11 +1,8 @@
[tool.black] [tool.black]
line-length = 130 line-length = 130
[tool.flake8] [tool.flake8]
max-line-length = 130 max-line-length = 130
[tool.pycodestyle] [tool.pycodestyle]
max_line_length = 130 max_line_length = 130
[tool.ruff]
line-length = 130
-1
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@@ -1 +0,0 @@
.cache
-23
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@@ -1,23 +0,0 @@
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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@@ -1,12 +0,0 @@
{
"yaml.schemas": {
"https://squidfunk.github.io/mkdocs-material/schema.json": "mkdocs.yml"
},
"yaml.customTags": [
"!ENV scalar",
"!ENV sequence",
"tag:yaml.org,2002:python/name:materialx.emoji.to_svg",
"tag:yaml.org,2002:python/name:materialx.emoji.twemoji",
"tag:yaml.org,2002:python/name:pymdownx.superfences.fence_code_format"
]
}
-21
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@@ -1,21 +0,0 @@
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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@@ -1,23 +0,0 @@
```
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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@@ -1,5 +0,0 @@
authors:
Anson:
name: Anson Biggs
description: Creator
avatar: https://gitlab.com/uploads/-/system/user/avatar/1377308/avatar.png
-1
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@@ -1 +0,0 @@
# Blog
-64
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@@ -1,64 +0,0 @@
---
title: "Introducing Simple Stock Bot: Your Chat Group's Financial Whiz"
date: 2023-10-10
tags: [Simple Stock Bot, Introduction, Telegram, Discord, Financial Insights]
authors: [Anson]
description: >
Welcome to the world of Simple Stock Bot, where real-time financial insights are integrated seamlessly into your group chats on Telegram and Discord!
---
## What is Simple Stock Bot?
Simple Stock Bot is a chatbot designed to enrich your financial discussions on Telegram and Discord. Regardless of whether you're a seasoned trader or a beginner in the stock market, this bot is here to make your discussions more informative and engaging.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
I wonder how $tsla is affecting the price of $$btc
</div>
<div class="message from">
The current stock price of Tesla Inc is $866.57, the stock is currently up 1.68%
</div>
<div class="message from">
The current price of Bitcoin is $34,815, the coin is currently down -0.151% for today
</div>
</div>
</div>
With Simple Stock Bot, you can:
- **Fetch Real-time Quotes**: Obtain the latest stock and cryptocurrency prices instantly within your group chat.
- **View Charts**: Delve into intraday movements or assess a month's trading data right inside your group chat.
- **Stay Updated on Market Trends**: Discover what's buzzing in the stock and crypto spheres.
## Add the Bot to your Group
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button }
[:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## Using the Bot
Embarking on your journey with Simple Stock Bot is effortless. Just add the bot to your Telegram or Discord group, and you're all set to dive into financial discussions right from your chat!
Here are some simple commands to get you started:
- `/intra` to view intraday charts.
- `/chart` for a glimpse of the last month's trading data.
- `/trending` to catch up on the latest trending stocks and cryptocurrencies.
## Keeping It Free
Simple Stock Bot is a community-supported project, thriving on the contributions from its users. It's sustained entirely through donations to cover server costs and premium market data subscriptions, ensuring it remains free for everyone.
Feeling generous? You can support the project by [donating](https://simplestockbot.com/donate/), following on [Twitter](https://twitter.com/AnsonBiggs), or contributing on [GitLab](https://gitlab.com/simple-stock-bots/simple-stock-bot).
## Dive Deeper
Craving more insights and features? Explore the [official documentation](https://simplestockbot.com/) to uncover all the capabilities of Simple Stock Bot.
Get ready to elevate your financial discussions with Simple Stock Bot! Your group chats will never be the same again.
---
Stay tuned for more updates, tips, and financial insights brought to you by Simple Stock Bot. Heres to making every financial discussion enriched and informed!
-188
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Symbols are used in headings to denote what platforms and symbol types a command supports.
- Telegram Only :fontawesome-brands-telegram:
- Discord Only :fontawesome-brands-discord:
- Bot Commands :robot:
- Cryptocurrency Support :material-currency-btc:
- Stock Market Support :bank:
## Get the Bots
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button } [:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## Symbol Detection :material-currency-btc: :bank:
The Simple Stock Bot looks at every message it can see and tries to detect stock and cryptocurrency symbols. Stock market tickers are denoted with a single `$` and cryptocurrency coins are denoted with a double `$$`. So getting the price of Tesla is as simple as `$tsla` and Bitcoin `$$btc`. These symbols can be in any part of a message and there can be multiple of them aswell.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
I wonder how $tsla is affecting the price of $$btc
</div>
<div class="message from">
The current stock price of Tesla Inc is $866.57, the stock is currently up 1.68%
</div>
<div class="message from">
The current price of Bitcoin is $34,815, the coin is currently down -0.151% for today
</div>
</div>
</div>
## Options Detection :bank:
This command allows you to query real-time data for stock options. By simply inputting the stock symbol, strike price, month, and specifying either a call or a put, you can get the latest options data right at your fingertips. For example, `AAPL $220 December call` will provide the current data for Apple's call option with a $220 strike price expiring in December.
![Image of the telegram bot providing options info.](img/telegram_options.png)
## `/donate [Amount in USD]` :fontawesome-brands-telegram-plane:
The donate command is used to send money to the bot to help keep it free. The premium stock market data and server rentals add up so any amount helps. See the [Donate](donate.md) page for more information.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/donate
</div>
<div class="message from">
The current stock price of Tesla Inc is $664.315, the stock is
currently down -0.99%
</div>
</div>
</div>
## `/intra [symbol]` :bank: :material-currency-btc:
This command makes a chart of a stocks movement since the last market open, or the last 24 hours for cryptocurrency.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/intra $astr
</div>
<div class="message from">
<img src="/img/TgIntraChat.jpg" alt="Tesla Motors Chart" />
<p>Intraday chart for $ASTR from 06 Jul at 09:30 to 06 Jul at 15:59</p>
<p>The current stock price of Astra Space Inc - Class A is $12.47, the stock is currently down -19.39%</p>
</div>
</div>
</div>
## `/chart [symbol]` :bank: :material-currency-btc:
This command makes a chart of the last 1 month of trading data up until the day before. For example running it on May 5th creates a chart from April 5th to May 4th.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/intra $astr
</div>
<div class="message from">
<img src="/img/TgChartChat.jpg" alt="Tesla Motors Chart" />
<p>1 Month chart for Ethereum from 07, Jun 2021 to 07, Jul 2021</p>
<p>The current price of Ethereum is $2,389.62, the coin is currently up 2.485% for today</p>
</div>
</div>
</div>
## `/trending`
Gets the latest trending stocks and their change in price
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/trending
</div>
<pre class="message from">
🦍Trending on the Stock Bot:
━━━━━━━━━━━━━━━━━━━━━━━━━━
$GME: Gamestop Corporation - Class A, 5.06%
$MMAT: Meta Materials Inc, 4.77%
$$
BTC: Bitcoin, -0.83%
$$ETH: Ethereum, 6.06%
$$DOGE: Binance-Peg Dogecoin, 0.14%
💵Trending Stocks:
━━━━━━━━━━━━━━━━
$BBIG: Vinco Ventures Inc, 15.44%
$GSAT: Globalstar Inc., -15.32%
$AMC: AMC Entertainment Holdings Inc - Class A, 8.77%
$ACIU: AC Immune SA, 16.31%
$PLTR: Palantir Technologies Inc - Class A, 2.25%
$AAPL: Apple Inc, -0.84%
$XELA: Exela Technologies Inc, 12.61%
$WFC: Wells Fargo & Co., -5.60%
$BAC: Bank Of America Corp., 0.22%
$AMD: Advanced Micro Devices Inc., -0.54%
🦎Trending Crypto:
━━━━━━━━━━━━━━━━
$$NFD: Feisty Doge NFT, -34.32%
$$SLP: Smooth Love Potion, -13.02%
$$PVU: Plant vs Undead Token, -1.27%
$$XED: Exeedme, 1.02%
$$SOL: Solana, -3.95%
$$BNB: Binance Coin, -0.25%
$$EWT: Energy Web Token, 17.72%
</pre>
</div>
</div>
## /help :robot:
Just a simple command to get help in app. Returns a more summarized version of this page.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/help
</div>
<div class="message from">
The current stock price of Tesla Inc is $664.315, the stock is
currently down -0.99%
</div>
</div>
</div>
## `/status` :robot:
This command is to get diagnostic information about the bot and the services it is dependant on in order to operate. Any issues should be reported to me. [Contact](contact.md)
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/status
</div>
<pre class="message from">
Bot Status:
It took 0.783369 seconds for the bot to get your message.
Stock Market Data:
marketdata.app is currently not reporting any issues with its API.
Cryptocurrency Data:
CoinGecko API responded that it was OK in 0.160962 Seconds.
</pre>
</div>
</div>
## Inline Features :fontawesome-brands-telegram: :material-currency-btc: :bank:
You can type @SimpleStockBot `[search]` in any chat or direct message to search for the stock bots
full list of stock symbols and return the price of the ticker. Then once you select the ticker
want the bot will send a message as you in that chat with the latest stock price.
The bot also looks at every message in any chat it is in for stock symbols.Symbols start with a
`$` followed by the stock symbol. For example:$tsla would return price information for Tesla Motors.
$$
-8
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@@ -1,8 +0,0 @@
# I Would Love to Hear From You!
Your feedback and experience with Simple Stock Bot is invaluable. Whether you've encountered a bug, have a suggestion for improvement, or just want to share your experience, I'm all ears. Here are several ways you can get in touch:
- **Telegram**: Drop me a message on [Telegram](https://t.me/MisterBiggs).
- **Discord**: Feel free to reach out on Discord at `MisterBiggs#0465`.
- **Twitter**: Send me a tweet on [Twitter](https://twitter.com/AnsonBiggs).
- **GitLab**: For technical issues or feature requests, feel free to open an issue on our [GitLab Repository](https://gitlab.com/simple-stock-bots/simple-stock-bot).
-21
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@@ -1,21 +0,0 @@
# Support Simple Stock Bot
Running Simple Stock Bot incurs a yearly expense of about $420, covering server costs and premium market data subscription from [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo). Every donation helps in maintaining the bot and ensuring its continued availability for all users.
Your support through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) is greatly appreciated, which accepts both PayPal and Credit Card donations.
For Telegram users, a convenient way to donate is by using the `/donate` [command](commands.md#donate-amount-in-usd).
Should you have any inquiries, feel free to get in [touch](contact.md).
## Additional Support:
Your engagement also counts as support! Here are other ways to contribute:
- Stay updated by following me on [Twitter](https://twitter.com/AnsonBiggs).
- Contribute to the project or star it on [GitLab](https://gitlab.com/simple-stock-bots).
- If you plan to host your own bot, consider using my referral links:
- [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web)
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
Your support in any form is immensely appreciated and helps in keeping Simple Stock Bot operational and free for everyone.
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# Self-Hosting Guide
This guide provides step-by-step instructions for setting up and running this project on your local machine, whether for development, testing, or personal use.
## Get the Bots
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button } [:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## Pre-requisites
Ensure the following are installed or obtained before proceeding:
- **[Docker](https://hub.docker.com/?overlay=onboarding)**: The project is containerized using Docker Compose, allowing it to run on any system with Docker installed.
- **API Keys**:
- **Telegram**: Obtain a free API key by interacting with [BotFather](https://telegram.me/botfather). More details [here](https://core.telegram.org/bots#3-how-do-i-create-a-bot).
- **Discord**: Get a free API key at [https://discord.com/developers](https://discord.com/developers).
- **[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web)**: Sign up to get an API key. A free tier is available and should suffice for private groups. More details [here](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo).
!!! tip
The bot will still operate without a [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo) key but will revert to using only cryptocurrency data.
!!! note
To enable donation acceptance, obtain a Stripe API key and provide a `STRIPE` key to your bot. [https://stripe.com/]()
## Setup Instructions
1. **Download/Clone the Repository**:
- Download or clone this repository to your local machine.
2. **Configure Environment Variables**:
- Navigate to the project directory and locate the `.env` file.
- Fill in the `.env` file with your obtained API keys:
```plaintext
MARKETDATA=your_marketdata_api_key
STRIPE=your_stripe_api_key
TELEGRAM=your_telegram_api_key
DISCORD=your_discord_api_key
```
Alternatively, pass the variables using Docker Compose environment variables or command-line arguments.
3. **Build and Run the Bot:**
- Open a terminal in the project directory.
- Build and run both bots using Docker Compose:
```bash
docker-compose up
```
Now, your bot(s) should be up and running! If you're unfamiliar with Docker, reviewing the [Docker documentation](https://docs.docker.com/) is highly recommended to gain better control over your bot and understand Docker commands better.
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# Elevate Your Groupchats with Real-time Stock Insights
Discover a new level of financial discussion with Simple Stock Bot, your go-to solution for real-time stock market and cryptocurrency insights within your Telegram or Discord group chats. Transform your everyday discussions into an interactive financial exploration experience. With Simple Stock Bot, keeping up with the stock market or cryptocurrency trends has never been more seamless and engaging.
## Get the Bots
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button } [:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## [Commands](commands.md)
### Real-Time Stock and Cryptocurrency Updates
- Get live price updates of stocks and cryptocurrencies.
- Symbol Detection: Use `$` for stocks and `$$` for cryptocurrencies, e.g., `$tsla` for Tesla and `$$btc` for Bitcoin.
### Intraday and Historical Data Visualization
- `/intra`: View a stock's movement since the last market open or a cryptocurrency's 24-hour chart.
- `/chart`: Provides a chart of the last month's trading data up till the day before.
### Trending Assets Awareness
- `/trending`: Discover the latest trending stocks and cryptocurrencies and their price changes.
### In-App Assistance and Support
- `/help`: Provides a quick summary of available commands for easy reference.
- `/donate`: Support the maintenance of the bot to ensure continued free access.
### User-Friendly Interaction
- Easy symbol and command usage for a smooth user experience.
- Engage with a community of financial enthusiasts and share insights effortlessly.
## [Contact](contact.md)
Need assistance or have inquiries? Feel free to reach out and I'll be happy to help.
## Powered by MarketData.app
Simple Stock Bots is able to provide real-time stock market insights thanks to the data supplied by [MarketData.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web). MarketData.app delivers accurate and up-to-date financial data, fueling the bot's capabilities in delivering timely stock quotes, charts, and other market-related information directly to your Telegram or Discord groups. The robust data infrastructure provided by MarketData.app not only ensures the reliability and accuracy of the information you receive but also enables the offering of Simple Stock Bots for free to all users. By leveraging MarketData.app's comprehensive financial data, the goal is to foster informed financial discussions and make market monitoring an effortless and accessible experience for everyone.
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/* https://codepen.io/RG/pen/bdfDI */
.phone {
background: none repeat scroll 0 0 #fff;
/*border-left: 1px solid #ccc;
border-right: 1px solid #ccc;*/
color: #ffffff;
font-family: sans-serif;
line-height: 20px;
width: 80%;
margin: 0 auto;
overflow-x: hidden;
position: relative;
border-radius: 10px;
margin: 50px;
}
.messages-wrapper {
position: relative;
}
.message {
margin: 10px;
padding: 15px 20px;
position: relative;
overflow-x: auto;
}
.message.to {
border-radius: 20px 0px 20px 20px;
background-color: #2095fe;
color: #fff;
margin-left: 20%;
}
.message.from {
border-radius: 20px 20px 20px 0px;
background-color: #e5e4e9;
color: #363636;
margin-right: 20%;
}
.message.to + .message.to,
.message.from + .message.from {
margin-top: -7px;
}
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site_name: Simple Stock Bot
site_url: https://simplestockbot.com
repo_url: https://gitlab.com/simple-stock-bots/simple-stock-bot
repo_name: Simple Stock Bots
site_description: Simple Discord and Telegram chat bots for Stock Market Data.
site_author: Anson Biggs
copyright: <a href="https://ansonbiggs.com">Anson Biggs</a> 2018 </br> Available Under an <a href="/LICENSE/">MIT LICENSE</a> </br>
nav:
- Home: index.md
- Commands: commands.md
- Self-Host: host.md
- Donate: donate.md
- Contact: contact.md
- Blog: blog/index.md
theme:
name: material
language: en
features:
- navigation.instant
- navigation.tracking
- navigation.tabs
- navigation.tabs.sticky
- content.code.copy
icon:
logo: material/robot-love
palette:
- media: "(prefers-color-scheme: light)"
primary: green
scheme: default
toggle:
icon: material/lightbulb-outline
name: Switch to dark mode
- media: "(prefers-color-scheme: dark)"
primary: green
scheme: slate
toggle:
icon: material/lightbulb
name: Switch to light mode
extra:
social:
- icon: fontawesome/solid/house
link: https://simplestockbot.com/
- icon: fontawesome/brands/telegram
link: https://t.me/SimpleStockBot
name: Get the Telegram bot
- icon: fontawesome/brands/discord
link: https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot
name: Get the Discord Bot
- icon: material/chart-line-stacked
link: https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web
name: MarketData.app for stock data
extra_css:
- stylesheets/phone.css
plugins:
- search
- social
- blog
markdown_extensions:
- attr_list
- pymdownx.emoji:
emoji_index: !!python/name:materialx.emoji.twemoji
emoji_generator: !!python/name:materialx.emoji.to_svg
- admonition
- pymdownx.details
- pymdownx.superfences
-5
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mkdocs-material==9.4.4
# Required for Social Cards
Pillow==10.0.1
CairoSVG==2.7.1
+20 -21
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@@ -1,22 +1,21 @@
FROM python:3.11-buster AS builder FROM python:3.11-buster AS builder
COPY telegram/telegram-reqs.txt . COPY telegram/requirements.txt .
COPY common/requirements.txt .
RUN pip install --user -r requirements.txt
RUN pip install --user -r telegram-reqs.txt
FROM python:3.11-slim
FROM python:3.11-slim
ENV MPLBACKEND=Agg
ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local
COPY --from=builder /root/.local /root/.local
COPY common common
COPY common common COPY telegram .
COPY telegram .
CMD [ "python", "./bot.py" ] CMD [ "python", "./bot.py" ]
+65 -70
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"""Functions and Info specific to the Telegram Bot """Functions and Info specific to the Telegram Bot
""" """
import re import re
import requests as r import requests as r
class T_info: class T_info:
license = re.sub( license = re.sub(
r"\b\n", r"\b\n",
" ", " ",
r.get("https://gitlab.com/simple-stock-bots/simple-stock-bot/-/raw/master/LICENSE").text, r.get("https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot/-/raw/master/LICENSE").text,
) )
help_text = """ help_text = """
Appreciate this bot? Show support by [buying me a beer](https://www.buymeacoffee.com/Anson) 🍻. Thanks for using this bot, consider supporting it 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 If you are interested in stock market data, or want to host your own bot, be sure to use my affiliate link so that the bot can stay free: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram)
[affiliate link](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
Keep up with the latest news for the bot in its Telegram Channel: https://t.me/simplestockbotnews
📢 Stay updated on the bot's Telegram: https://t.me/simplestockbotnews.
Full documentation on using and running your own stock bot can be found on the bots [docs.](https://docs.simplestockbot.com)
**Guide**: All about using and setting up the bot is in the [docs](https://simplestockbot.com).
The bot detects _"Symbols"_ using either one `$` or two `$$` dollar signs before the symbol. One dollar sign is for a stock market ticker, while two is for a cryptocurrency coin. `/chart $$eth` would return a chart of the past month of data for Ethereum, while `/dividend $psec` returns dividend information for Prospect Capital stock.
The bot recognizes _"Symbols"_. `$` for stocks and `$$` for cryptos. Example:
- `/chart $$eth` gets a month's Ethereum chart. Simply calling a symbol in any message that the bot can see will also return the price. So a message like: `I wonder if $$btc will go to the Moon now that $tsla accepts it as payment` would return the current price for both Bitcoin and Tesla.
- `/dividend $psec` shows Prospect Capital's dividend info.
**Commands**
Mention a symbol, and the bot reveals its price. - `/donate [amount in USD]` to donate. 🎗️
E.g., `What's $$btc's price since $tsla accepts it?` gives Bitcoin and Tesla prices. - `/intra $[symbol]` Plot of the stocks movement since the last market open. 📈
- `/chart $[symbol]` Plot of the stocks movement for the past 1 month. 📊
**Commands** - `/trending` Trending Stocks and Cryptos. 💬
- `/donate [USD]`: Support the bot. 🎗️ - `/help` Get some help using the bot. 🆘
- `/intra $[symbol]`: Today's stock activity. 📈
- `/chart $[symbol]`: Past month's stock chart. 📊 **Inline Features**
- `/trending`: What's hot in stocks and cryptos. 💬 You can type @SimpleStockBot `[search]` in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price. Then once you select the ticker want the bot will send a message as you in that chat with the latest stock price. Prices may be delayed by up to an hour.
- `/help`: Bot assistance. 🆘
Market data is provided by [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram)
**Inline Features**
Search with @SimpleStockBot `[query]` anywhere. If you believe the bot is not behaving properly run `/status` or [get in touch](https://docs.simplestockbot.com/contact).
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). donate_text = """
Simple Stock Bot is run entirely on donations[.](https://www.buymeacoffee.com/Anson)
Bot issues? Use `/status` or [contact us](https://simplestockbot.com/contact). All donations go directly towards paying for servers, and market data is provided by
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
"""
The easiest way to donate is to run the `/donate [amount in USD]` command with US dollars you would like to donate.
donate_text = """
Support Simple Stock Bot through [donations](https://www.buymeacoffee.com/Anson). Example: `/donate 2` would donate 2 USD.
All funds help maintain servers, with data from
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram). 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)
**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://simplestockbot.com). commands = """ # Not used by the bot but for updating commands with BotFather
""" donate - Donate to the bot 🎗️
help - Get some help using the bot. 🆘
trending - Trending Stocks and Cryptos. 💬
# Not used by the bot but for updating commands with BotFather intra - $[symbol] Plot since the last market open. 📈
commands = """ chart - $[chart] Plot of the past month. 📊
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. 📊
"""
+450 -508
View File
@@ -1,508 +1,450 @@
# Works with Python 3.8 # Works with Python 3.8
import datetime import datetime
import html import html
import io import io
import json import json
import logging import logging
import os import os
import random import random
import string import string
import traceback import traceback
from uuid import uuid4 from uuid import uuid4
import mplfinance as mpf import mplfinance as mpf
from T_info import T_info import telegram
from telegram import (
import telegram InlineQueryResultArticle,
from common.symbol_router import Router InputTextMessageContent,
from telegram import InlineQueryResultArticle, InputTextMessageContent, LabeledPrice, Update LabeledPrice,
from telegram.ext import ( Update,
Application, )
CommandHandler, from telegram.ext import (
ContextTypes, CallbackContext,
InlineQueryHandler, CommandHandler,
MessageHandler, Filters,
PreCheckoutQueryHandler, InlineQueryHandler,
filters, MessageHandler,
) PreCheckoutQueryHandler,
Updater,
# Enable logging )
logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO)
from common.symbol_router import Router
# set higher logging level for httpx to avoid all GET and POST requests being logged from T_info import T_info
logging.getLogger("httpx").setLevel(logging.WARNING)
# Enable logging
log = logging.getLogger(__name__) logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO)
log = logging.getLogger(__name__)
TELEGRAM_TOKEN = os.environ["TELEGRAM"]
TELEGRAM_TOKEN = os.environ["TELEGRAM"]
try:
STRIPE_TOKEN = os.environ["STRIPE"] try:
except KeyError: STRIPE_TOKEN = os.environ["STRIPE"]
STRIPE_TOKEN = "" except KeyError:
log.warning("Starting without a STRIPE Token will not allow you to accept Donations!") STRIPE_TOKEN = ""
log.warning("Starting without a STRIPE Token will not allow you to accept Donations!")
s = Router()
t = T_info() s = Router()
t = T_info()
log.info("Bot script started.")
log.info("Bot script started.")
async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Send help text when the command /start is issued.""" def start(update: Update, context: CallbackContext):
log.info(f"Start command ran by {update.message.chat.username}") """Send help text when the command /start is issued."""
await update.message.reply_text( log.info(f"Start command ran by {update.message.chat.username}")
text=t.help_text, update.message.reply_text(
parse_mode=telegram.constants.ParseMode.MARKDOWN, text=t.help_text,
disable_notification=True, parse_mode=telegram.ParseMode.MARKDOWN,
) disable_notification=True,
)
async def help(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Send help text when the command /help is issued.""" def help(update: Update, context: CallbackContext):
log.info(f"Help command ran by {update.message.chat.username}") """Send help text when the command /help is issued."""
await update.message.reply_text( log.info(f"Help command ran by {update.message.chat.username}")
text=t.help_text, update.message.reply_text(
parse_mode=telegram.constants.ParseMode.MARKDOWN, text=t.help_text,
disable_notification=True, parse_mode=telegram.ParseMode.MARKDOWN,
) disable_notification=True,
)
async def license(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Send bots license when the /license command is issued.""" def license(update: Update, context: CallbackContext):
log.info(f"License command ran by {update.message.chat.username}") """Send bots license when the /license command is issued."""
await update.message.reply_text( log.info(f"License command ran by {update.message.chat.username}")
text=t.license, update.message.reply_text(
parse_mode=telegram.constants.ParseMode.MARKDOWN, text=t.license,
disable_notification=True, parse_mode=telegram.ParseMode.MARKDOWN,
) disable_notification=True,
)
async def status(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Gather status of bot and dependant services and return important status updates.""" def status(update: Update, context: CallbackContext):
log.warning(f"Status command ran by {update.message.chat.username}") """Gather status of bot and dependant services and return important status updates."""
bot_resp_time = datetime.datetime.now(update.message.date.tzinfo) - update.message.date 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.")
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(
text=bot_status, update.message.reply_text(
parse_mode=telegram.constants.ParseMode.MARKDOWN, text=bot_status,
) parse_mode=telegram.ParseMode.MARKDOWN,
)
async def donate(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Sets up donation.""" def donate(update: Update, context: CallbackContext):
log.info(f"Donate command ran by {update.message.chat.username}") """Sets up donation."""
chat_id = update.message.chat_id 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:
await update.message.reply_text( if update.message.text.strip() == "/donate" or "/donate@" in update.message.text:
text=t.donate_text, update.message.reply_text(
parse_mode=telegram.constants.ParseMode.MARKDOWN, text=t.donate_text,
disable_notification=True, parse_mode=telegram.ParseMode.MARKDOWN,
) disable_notification=True,
amount = 1.0 )
else: amount = 1.0
amount = float(update.message.text.replace("/donate", "").replace("$", "").strip()) else:
amount = float(update.message.text.replace("/donate", "").replace("$", "").strip())
try:
price = int(amount * 100) try:
except ValueError: price = int(amount * 100)
await update.message.reply_text(f"{amount} is not a valid donation amount or number.") except ValueError:
return update.message.reply_text(f"{amount} is not a valid donation amount or number.")
log.info(f"Donation amount: {price} by {update.message.chat.username}") return
log.info(f"Donation amount: {price} by {update.message.chat.username}")
await context.bot.send_invoice(
chat_id=chat_id, context.bot.send_invoice(
title="Simple Stock Bot Donation", chat_id=chat_id,
description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}", title="Simple Stock Bot Donation",
payload=f"simple-stock-bot-{chat_id}", description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}",
provider_token=STRIPE_TOKEN, payload=f"simple-stock-bot-{chat_id}",
currency="USD", provider_token=STRIPE_TOKEN,
prices=[LabeledPrice("Donation:", price)], currency="USD",
start_parameter="", prices=[LabeledPrice("Donation:", price)],
# suggested_tip_amounts=[100, 500, 1000, 2000], start_parameter="",
photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png", # suggested_tip_amounts=[100, 500, 1000, 2000],
photo_width=500, photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png",
photo_height=500, photo_width=500,
) photo_height=500,
)
async def precheckout_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Approves donation""" def precheckout_callback(update: Update, context: CallbackContext):
log.info("precheckout_callback queried") """Approves donation"""
query = update.pre_checkout_query log.info("precheckout_callback queried")
query = update.pre_checkout_query
await query.answer(ok=True)
# I dont think I need to check since its only donations. query.answer(ok=True)
# if query.invoice_payload == "simple-stock-bot": # I dont think I need to check since its only donations.
# # answer False pre_checkout_query # if query.invoice_payload == "simple-stock-bot":
# await query.answer(ok=True) # # answer False pre_checkout_query
# else: # query.answer(ok=True)
# await query.answer(ok=False, error_message="Something went wrong...") # else:
# query.answer(ok=False, error_message="Something went wrong...")
async def successful_payment_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Thanks user for donation""" def successful_payment_callback(update: Update, context: CallbackContext):
log.info("Successful payment!") """Thanks user for donation"""
await update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!") log.info("Successful payment!")
update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!")
async def symbol_detect_image(update: Update, context: ContextTypes.DEFAULT_TYPE):
""" def symbol_detect_image(update: Update, context: CallbackContext):
Makes image captions into text then passes the `update` and `context` """
to symbol detect so that it can reply cashtags in image captions. Makes image captions into text then passes the `update` and `context`
""" to symbol detect so that it can reply cashtags in image captions.
try: """
if update.message.caption: try:
update.message.text = update.message.caption if update.message.caption:
await symbol_detect(update, context) update.message.text = update.message.caption
except AttributeError: symbol_detect(update, context)
return except AttributeError:
return
async def symbol_detect(update: Update, context: ContextTypes.DEFAULT_TYPE):
""" def symbol_detect(update: Update, context: CallbackContext):
Runs on any message that doesn't have a command and searches for cashtags, """
then returns the prices of any symbols found. Runs on any message that doesn't have a command and searches for cashtags,
""" then returns the prices of any symbols found.
try: """
message = update.message.text try:
chat_id = update.message.chat_id message = update.message.text
if "$" in message: chat_id = update.message.chat_id
log.info("Looking for Symbols") if "$" in message:
symbols = s.find_symbols(message) symbols = s.find_symbols(message)
else: log.info("Looking for Symbols")
return else:
except AttributeError as ex: return
log.info(ex) except AttributeError as ex:
return log.info(ex)
return
# Detect Options if symbols:
if ("call" in message.lower()) or ("put" in message.lower()): # Let user know bot is working
log.info("Options detected") context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.TYPING)
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING) log.info(f"Symbols found: {symbols}")
try:
options_data = s.options(message, symbols) for reply in s.price_reply(symbols):
update.message.reply_text(
await update.message.reply_text( text=reply,
text=generate_options_reply(options_data), parse_mode=telegram.ParseMode.MARKDOWN,
parse_mode=telegram.constants.ParseMode.MARKDOWN, disable_notification=True,
) )
return
except KeyError as ex:
logging.warning(ex) def intra(update: Update, context: CallbackContext):
pass """returns a chart of intraday data for a symbol"""
log.info(f"Intra command ran by {update.message.chat.username}")
if symbols:
log.info(f"Symbols found: {symbols}") message = update.message.text
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING) chat_id = update.message.chat_id
for reply in s.price_reply(symbols): if message.strip().split("@")[0] == "/intra":
await update.message.reply_text( update.message.reply_text(
text=reply, "This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla"
parse_mode=telegram.constants.ParseMode.MARKDOWN, )
disable_notification=True, return
)
symbols = s.find_symbols(message, trending_weight=5)
symbol = symbols[0]
def generate_options_reply(options_data: dict):
# Header with Option Symbol and Underlying if len(symbols):
message_text = f"*{options_data['Option Symbol']} ({options_data['Underlying']})*\n\n" symbol = symbols[0]
else:
# Key details update.message.reply_text("No symbols or coins found.")
details = ( return
f"*Expiration:* `{options_data['Expiration']}`\n"
f"*Side:* `{options_data['side']}`\n" df = s.intra_reply(symbol)
f"*Strike:* `{options_data['strike']}`\n" if df.empty:
f"*First Traded:* `{options_data['First Traded']}`\n" update.message.reply_text(
f"*Last Updated:* `{options_data['Last Updated']}`\n\n" text="Invalid symbol please see `/help` for usage details.",
) parse_mode=telegram.ParseMode.MARKDOWN,
message_text += details disable_notification=True,
)
# Pricing info return
pricing_info = (
f"*Bid:* `{options_data['bid']}` (Size: `{options_data['bidSize']}`)\n" context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.UPLOAD_PHOTO)
f"*Mid:* `{options_data['mid']}`\n"
f"*Ask:* `{options_data['ask']}` (Size: `{options_data['askSize']}`)\n" buf = io.BytesIO()
f"*Last:* `{options_data['last']}`\n\n" mpf.plot(
) df,
message_text += pricing_info type="renko",
title=f"\n{symbol.name}",
# Volume and open interest volume="Volume" in df.keys(),
volume_info = f"*Open Interest:* `{options_data['Open Interest']}`\n" f"*Volume:* `{options_data['Volume']}`\n\n" style="yahoo",
message_text += volume_info savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
)
# Greeks buf.seek(0)
greeks_info = (
f"*IV:* `{options_data['Implied Volatility']}`\n" update.message.reply_photo(
f"*Delta:* `{options_data['delta']}`\n" photo=buf,
f"*Gamma:* `{options_data['gamma']}`\n" caption=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to"
f"*Theta:* `{options_data['theta']}`\n" + f" {df.last_valid_index().strftime('%d %b at %H:%M %Z')}"
f"*Vega:* `{options_data['vega']}`\n" + f"\n\n{s.price_reply([symbol])[0]}",
f"*Rho:* `{options_data['rho']}`\n" parse_mode=telegram.ParseMode.MARKDOWN,
) disable_notification=True,
message_text += greeks_info )
return message_text
def chart(update: Update, context: CallbackContext):
"""returns a chart of the past month of data for a symbol"""
async def intra(update: Update, context: ContextTypes.DEFAULT_TYPE): log.info(f"Chart command ran by {update.message.chat.username}")
"""returns a chart of intraday data for a symbol"""
log.info(f"Intra command ran by {update.message.chat.username}") message = update.message.text
chat_id = update.message.chat_id
message = update.message.text
chat_id = update.message.chat_id if message.strip().split("@")[0] == "/chart":
update.message.reply_text(
if message.strip().split("@")[0] == "/intra": "This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla"
await update.message.reply_text( )
"This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla" return
)
return symbols = s.find_symbols(message, trending_weight=10)
symbols = s.find_symbols(message, trending_weight=5) if len(symbols):
symbol = symbols[0] symbol = symbols[0]
else:
if len(symbols): update.message.reply_text("No symbols or coins found.")
symbol = symbols[0] return
else:
await update.message.reply_text("No symbols or coins found.") df = s.chart_reply(symbol)
return if df.empty:
update.message.reply_text(
df = s.intra_reply(symbol) text="Invalid symbol please see `/help` for usage details.",
if df.empty: parse_mode=telegram.ParseMode.MARKDOWN,
await update.message.reply_text( disable_notification=True,
text="Invalid symbol please see `/help` for usage details.", )
parse_mode=telegram.constants.ParseMode.MARKDOWN, return
disable_notification=True, context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.UPLOAD_PHOTO)
)
return buf = io.BytesIO()
mpf.plot(
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO) df,
type="candle",
buf = io.BytesIO() title=f"\n{symbol.name}",
mpf.plot( volume="Volume" in df.keys(),
df, style="yahoo",
type="renko", savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
title=f"\n{symbol.name}", )
volume="Volume" in df.keys(), buf.seek(0)
style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), update.message.reply_photo(
) photo=buf,
buf.seek(0) caption=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}"
+ f" to {df.last_valid_index().strftime('%d, %b %Y')}\n\n{s.price_reply([symbol])[0]}",
await update.message.reply_photo( parse_mode=telegram.ParseMode.MARKDOWN,
photo=buf, disable_notification=True,
caption=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to" )
+ f" {df.last_valid_index().strftime('%d %b at %H:%M %Z')}"
+ f"\n\n{s.price_reply([symbol])[0]}",
parse_mode=telegram.constants.ParseMode.MARKDOWN, def trending(update: Update, context: CallbackContext):
disable_notification=True, """returns currently trending symbols and how much they've moved in the past trading day."""
) log.info(f"Trending command ran by {update.message.chat.username}")
chat_id = update.message.chat_id
async def chart(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of the past month of data for a symbol""" context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.TYPING)
log.info(f"Chart command ran by {update.message.chat.username}")
trending_list = s.trending()
message = update.message.text
chat_id = update.message.chat_id update.message.reply_text(
text=trending_list,
if message.strip().split("@")[0] == "/chart": parse_mode=telegram.ParseMode.MARKDOWN,
await update.message.reply_text( disable_notification=True,
"This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla" )
)
return
def inline_query(update: Update, context: CallbackContext):
symbols = s.find_symbols(message, trending_weight=10) """
Handles inline query. Searches by looking if query is contained
if len(symbols): in the symbol and returns matches in alphabetical order.
symbol = symbols[0] """
else: # info(f"Inline command ran by {update.message.chat.username}")
await update.message.reply_text("No symbols or coins found.") log.info(f"Query: {update.inline_query.query}")
return
ignored_queries = {"$", "$$", " ", ""}
df = s.chart_reply(symbol)
if df.empty: if update.inline_query.query.strip() in ignored_queries:
await update.message.reply_text( default_message = """
text="Invalid symbol please see `/help` for usage details.", You can type:\n@SimpleStockBot `[search]`
parse_mode=telegram.constants.ParseMode.MARKDOWN, in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price.
disable_notification=True, """
)
return update.inline_query.answer(
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO) [
InlineQueryResultArticle(
buf = io.BytesIO() str(uuid4()),
mpf.plot( title="Please enter a query. It can be a ticker or a name of a company.",
df, input_message_content=InputTextMessageContent(default_message, parse_mode=telegram.ParseMode.MARKDOWN),
type="candle", )
title=f"\n{symbol.name}", ]
volume="Volume" in df.keys(), )
style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), matches = s.inline_search(update.inline_query.query)
)
buf.seek(0) results = []
for _, row in matches.iterrows():
await update.message.reply_photo( results.append(
photo=buf, InlineQueryResultArticle(
caption=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}" str(uuid4()),
+ f" to {df.last_valid_index().strftime('%d, %b %Y')}\n\n{s.price_reply([symbol])[0]}", title=row["description"],
parse_mode=telegram.constants.ParseMode.MARKDOWN, input_message_content=InputTextMessageContent(row["price_reply"], parse_mode=telegram.ParseMode.MARKDOWN),
disable_notification=True, )
) )
if len(results) == 5:
async def trending(update: Update, context: ContextTypes.DEFAULT_TYPE): update.inline_query.answer(results, cache_time=60 * 60)
"""returns currently trending symbols and how much they've moved in the past trading day.""" log.info("Inline Command was successful")
log.info(f"Trending command ran by {update.message.chat.username}") return
update.inline_query.answer(results)
chat_id = update.message.chat_id
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING) def rand_pick(update: Update, context: CallbackContext):
"""For the gamblers. Returns a random symbol to buy and a sell date"""
trending_list = s.trending() log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}")
await update.message.reply_text( update.message.reply_text(
text=trending_list, text=s.random_pick(),
parse_mode=telegram.constants.ParseMode.MARKDOWN, parse_mode=telegram.ParseMode.MARKDOWN,
disable_notification=True, disable_notification=True,
) )
async def inline_query(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: def error(update: Update, context: CallbackContext):
""" """Log Errors caused by Updates."""
Handles inline query. Searches by looking if query is contained log.warning('Update "%s" caused error "%s"', update, error)
in the symbol and returns matches in alphabetical order.
""" tb_list = traceback.format_exception(None, context.error, context.error.__traceback__)
tb_string = "".join(tb_list)
if not update.inline_query.query:
return err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)])
log.warning(f"Logging error: {err_code}")
print(f"Query: {update.inline_query.query}")
if update:
ignored_queries = {"$", "$$", " ", ""} log.warning(
f"An exception was raised while handling an update\n"
if update.inline_query.query.strip() in ignored_queries: f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n"
default_message = """ f"\tcontext.chat_data = {str(context.chat_data)}\n"
You can type:\n@SimpleStockBot `[search]` f"\tcontext.user_data = {str(context.user_data)}\n"
in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price. f"\t{html.escape(tb_string)}"
""" )
await update.inline_query.answer( update.message.reply_text(
[ text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`",
InlineQueryResultArticle( parse_mode=telegram.ParseMode.MARKDOWN,
str(uuid4()), )
title="Please enter a query. It can be a ticker or a name of a company.", else:
input_message_content=InputTextMessageContent( log.warning("No message to send to user.")
default_message, parse_mode=telegram.constants.ParseMode.MARKDOWN log.warning(tb_string)
),
)
] def main():
) """Start the context.bot."""
# Create the EventHandler and pass it your bot's token.
matches = s.inline_search(update.inline_query.query) updater = Updater(TELEGRAM_TOKEN)
results = [] # Get the dispatcher to register handlers
for _, row in matches.iterrows(): dp = updater.dispatcher
results.append(
InlineQueryResultArticle( # on different commands - answer in Telegram
str(uuid4()), dp.add_handler(CommandHandler("start", start))
title=row["description"], dp.add_handler(CommandHandler("help", help))
input_message_content=InputTextMessageContent( dp.add_handler(CommandHandler("license", license))
row["price_reply"], parse_mode=telegram.constants.ParseMode.MARKDOWN dp.add_handler(CommandHandler("trending", trending))
), dp.add_handler(CommandHandler("random", rand_pick))
) dp.add_handler(CommandHandler("donate", donate))
) dp.add_handler(CommandHandler("status", status))
dp.add_handler(CommandHandler("inline", inline_query))
if len(results) == 5:
await update.inline_query.answer(results, cache_time=60 * 60) # Charting can be slow so they run async.
log.info("Inline Command was successful") dp.add_handler(CommandHandler("intra", intra, run_async=True))
return dp.add_handler(CommandHandler("intraday", intra, run_async=True))
await update.inline_query.answer(results) dp.add_handler(CommandHandler("day", intra, run_async=True))
dp.add_handler(CommandHandler("chart", chart, run_async=True))
dp.add_handler(CommandHandler("month", chart, run_async=True))
async def rand_pick(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""For the gamblers. Returns a random symbol to buy and a sell date""" # on noncommand i.e message - echo the message on Telegram
log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}") dp.add_handler(MessageHandler(Filters.text, symbol_detect))
dp.add_handler(MessageHandler(Filters.photo, symbol_detect_image))
await update.message.reply_text(
text=s.random_pick(), # Inline Bot commands
parse_mode=telegram.constants.ParseMode.MARKDOWN, dp.add_handler(InlineQueryHandler(inline_query))
disable_notification=True,
) # Pre-checkout handler to final check
dp.add_handler(PreCheckoutQueryHandler(precheckout_callback))
async def error(update: Update, context: ContextTypes.DEFAULT_TYPE): # Payment success
"""Log Errors caused by Updates.""" dp.add_handler(MessageHandler(Filters.successful_payment, successful_payment_callback))
log.warning('Update "%s" caused error "%s"', update, error)
# log all errors
tb_list = traceback.format_exception(None, context.error, context.error.__traceback__) dp.add_error_handler(error)
tb_string = "".join(tb_list)
# Start the Bot
err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)]) updater.start_polling()
log.warning(f"Logging error: {err_code}")
updater.idle()
if update:
log.warning(
f"An exception was raised while handling an update\n" if __name__ == "__main__":
f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n" main()
f"\tcontext.chat_data = {str(context.chat_data)}\n"
f"\tcontext.user_data = {str(context.user_data)}\n"
f"\t{html.escape(tb_string)}"
)
await update.message.reply_text(
text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
)
else:
log.warning("No message to send to user.")
log.warning(tb_string)
def main():
"""Start the context.bot."""
# Create the EventHandler and pass it your bot's token.
application = Application.builder().token(TELEGRAM_TOKEN).build()
# on different commands - answer in Telegram
application.add_handler(CommandHandler("start", start))
application.add_handler(CommandHandler("help", help))
application.add_handler(CommandHandler("license", license))
application.add_handler(CommandHandler("trending", trending))
application.add_handler(CommandHandler("random", rand_pick))
application.add_handler(CommandHandler("donate", donate))
application.add_handler(CommandHandler("status", status))
application.add_handler(CommandHandler("inline", inline_query))
# Charting can be slow so they run async.
application.add_handler(CommandHandler("intra", intra, block=False))
application.add_handler(CommandHandler("intraday", intra, block=False))
application.add_handler(CommandHandler("day", intra, block=False))
application.add_handler(CommandHandler("chart", chart, block=False))
application.add_handler(CommandHandler("month", chart, block=False))
# on noncommand i.e message - echo the message on Telegram
application.add_handler(MessageHandler(filters.TEXT, symbol_detect))
application.add_handler(MessageHandler(filters.PHOTO, symbol_detect_image))
# Inline Bot commands
application.add_handler(InlineQueryHandler(inline_query))
# Pre-checkout handler to final check
application.add_handler(PreCheckoutQueryHandler(precheckout_callback))
# Payment success
application.add_handler(MessageHandler(filters.SUCCESSFUL_PAYMENT, successful_payment_callback))
# log all errors
application.add_error_handler(error)
# Start the Bot
application.run_polling(allowed_updates=Update.ALL_TYPES)
if __name__ == "__main__":
main()
+7
View File
@@ -0,0 +1,7 @@
python-telegram-bot==13.5
requests==2.25.1
pandas==2.0.0
schedule==1.0.0
mplfinance==0.12.7a5
markdownify==0.6.5
cachetools==4.2.2
-2
View File
@@ -1,2 +0,0 @@
python-telegram-bot==20.6
-r requirements.txt
+33 -23
View File
@@ -1,23 +1,33 @@
import time import keyboard
import time
import keyboard
tests = """$$xno tests = """$$xno
$tsla /info $tsla
/intra $tsla /info $$btc
/intra $$btc /news $tsla
/chart $tsla /news $$btc
/chart $$btc /stat $tsla
/help /stat $$btc
/trending""".split( /cap $tsla
"\n" /cap $$btc
) /dividend $tsla
/dividend $msft
print("press enter to start") /dividend $$btc
keyboard.wait("enter") /intra $tsla
/intra $$btc
for test in tests: /chart $tsla
print(test) /chart $$btc
keyboard.write(test) /help
time.sleep(1) /trending""".split(
keyboard.press_and_release("enter") "\n"
)
print("press enter to start")
keyboard.wait("enter")
for test in tests:
print(test)
keyboard.write(test)
time.sleep(1)
keyboard.press_and_release("enter")