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Author SHA1 Message Date
Anson d236ff196c Update sunset.md 2024-05-13 03:54:50 +00:00
Anson 3ff582d095 Merge branch 'random-housecleaning' into 'master'
Archive the Bot

See merge request simple-stock-bots/simple-stock-bot!65
2024-05-13 03:51:14 +00:00
Anson 0417436451 Archive the Bot 2024-05-13 03:51:14 +00:00
Anson d45ce7c250 Merge branch 'site-upload-fix' into 'master'
fix site upload rule

See merge request simple-stock-bots/simple-stock-bot!64
2023-11-29 03:27:58 +00:00
Anson dcff9f3537 fix site upload rule 2023-11-29 03:26:50 +00:00
Anson 66ff51f021 Merge branch 'sec-gov-permission-issue' into 'master'
Fix sec.gov permissions issue

See merge request simple-stock-bots/simple-stock-bot!63
2023-11-29 03:25:34 +00:00
Anson fbad8a20cf Fix sec.gov permissions issue 2023-11-29 03:25:34 +00:00
Anson 6229a5d4b6 Merge branch '114-fix-coingecko-too-many-requests-error' into 'master'
Resolve "Fix coingecko too many requests error"

Closes #114

See merge request simple-stock-bots/simple-stock-bot!62
2023-10-17 06:05:30 +00:00
Anson ef9cd7e85c Resolve "Fix coingecko too many requests error" 2023-10-17 06:05:30 +00:00
Anson 2758c45432 Merge branch '113-make-announcement-for-milestone-completion-2' into 'master'
Resolve "Make announcement for Milestone completion"

Closes #113

See merge request simple-stock-bots/simple-stock-bot!61
2023-10-17 05:43:32 +00:00
Anson c717739b75 Resolve "Make announcement for Milestone completion" 2023-10-17 05:43:32 +00:00
Anson 8a78ab5f55 Merge branch '113-make-announcement-for-milestone-completion' into 'master'
Resolve "Make announcement for Milestone completion"

Closes #113

See merge request simple-stock-bots/simple-stock-bot!60
2023-10-17 05:14:24 +00:00
Anson a54653bbc7 Resolve "Make announcement for Milestone completion" 2023-10-17 05:14:24 +00:00
Anson 686cf889c1 Merge branch '36-add-rate-limiting' into 'master'
Resolve "Add rate limiting"

Closes #36

See merge request simple-stock-bots/simple-stock-bot!57
2023-10-16 05:54:35 +00:00
Anson 662344bf18 Resolve "Add rate limiting" 2023-10-16 05:54:35 +00:00
Anson 87d9346f98 Merge branch '112-move-to-new-url' into 'master'
Update links from individual bot repos to monorepo

Closes #112

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

Closes #110

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

Closes #105

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

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

Closes #109

See merge request simple-stock-bots/simple-telegram-stock-bot!53
2023-10-10 04:19:47 +00:00
Anson 33550f1519 Resolve "Add a blog to the website" 2023-10-10 04:19:46 +00:00
39 changed files with 2453 additions and 2089 deletions
-2
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@@ -1,5 +1,3 @@
FROM python:3.11 FROM python:3.11
COPY . . COPY . .
# RUN pip install -r requirements.txt
+12 -10
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@@ -5,7 +5,8 @@
// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
// "image": "mcr.microsoft.com/devcontainers/python:1-3-bookworm", // "image": "mcr.microsoft.com/devcontainers/python:1-3-bookworm",
"build": { "build": {
"dockerfile": "Dockerfile" "dockerfile": "Dockerfile",
"context": ".."
}, },
"features": { "features": {
"ghcr.io/devcontainers-contrib/features/black:2": {}, "ghcr.io/devcontainers-contrib/features/black:2": {},
@@ -16,16 +17,17 @@
"customizations": { "customizations": {
"vscode": { "vscode": {
"extensions": [ "extensions": [
"ms-python.python", "ms-python.python",
"ms-python.black-formatter", "ms-python.black-formatter",
"ms-python.flake8", "ms-python.vscode-pylance",
"ms-python.vscode-pylance", "ms-python.isort",
"ms-python.isort", "charliermarsh.ruff",
"charliermarsh.ruff" "ms-toolsai.jupyter",
] "esbenp.prettier-vscode"
]
} }
}, },
"postCreateCommand": "pip3 install --user -r dev-reqs.txt" "postCreateCommand": "pip3 install --user -r dev-reqs.txt && apt-get update && apt-get install -y nodejs npm --fix-missing && npm install"
// Features to add to the dev container. More info: https://containers.dev/features. // Features to add to the dev container. More info: https://containers.dev/features.
// "features": {}, // "features": {},
// Use 'forwardPorts' to make a list of ports inside the container available locally. // Use 'forwardPorts' to make a list of ports inside the container available locally.
@@ -36,4 +38,4 @@
// "customizations": {}, // "customizations": {},
// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
// "remoteUser": "root" // "remoteUser": "root"
} }
+2 -1
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@@ -1,2 +1,3 @@
__pycache__ __pycache__
.env .env
node_modules
+12 -15
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@@ -1,24 +1,21 @@
stages: stages:
- lint - lint
- build
- build_site - build_site
- deploy - deploy
- deploy_site
black: # ruff:
stage: lint # stage: lint
image: registry.gitlab.com/pipeline-components/black:latest # image: python:3.11-slim
script: # script:
- black --check --verbose -- . # - pip3 install ruff
# - ruff . --output-format gitlab; ruff format . --diff
ruff:
stage: lint
# image: registry.gitlab.com/pipeline-components/ruff:latest
image: python:3.11-slim
script:
- pip3 install ruff
- ruff --output-format gitlab .
# prettier:
# stage: lint
# image: node:16-slim # Use Node.js image since prettier is a Node.js tool
# script:
# - npm install prettier
# - npx prettier --check . # Adjust the path as needed
include: include:
- local: /site/.gitlab-ci.yml - local: /site/.gitlab-ci.yml
+8 -6
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@@ -1,8 +1,10 @@
{ {
"editor.formatOnSave": true,
"editor.formatOnPaste": true,
"editor.formatOnSaveMode": "modificationsIfAvailable",
"[python]": {
"editor.defaultFormatter": "charliermarsh.ruff",
"editor.formatOnSave": true, "editor.formatOnSave": true,
"editor.formatOnPaste": true, "editor.formatOnSaveMode": "file"
"editor.formatOnSaveMode": "modificationsIfAvailable", }
"[python]": { }
"editor.defaultFormatter": "ms-python.black-formatter",
}
}
+9 -5
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@@ -9,14 +9,16 @@ Enhance your group chats on Telegram and Discord with real-time stock and crypto
## Documentation ## Documentation
Comprehensive documentation is available to help you understand the features and capabilities of Simple Stock Bots: Comprehensive documentation is available to help you understand the features and capabilities of Simple Stock Bots:
- [Official Documentation](https://docs.simplestockbot.com/)
- [Command Reference](https://docs.simplestockbot.com/commands/) - [Official Documentation](https://simplestockbot.com/)
- [Command Reference](https://simplestockbot.com/commands/)
## Support the Project ## Support the Project
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 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).
You can contribute by: You can contribute by:
- Donating through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) (PayPal or Credit Card accepted). - Donating through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) (PayPal or Credit Card accepted).
- Using the `/donate` [command](commands.md#donate-amount-in-usd) on Telegram. - Using the `/donate` [command](commands.md#donate-amount-in-usd) on Telegram.
- [Getting in touch](contact.md) for any inquiries or suggestions. - [Getting in touch](contact.md) for any inquiries or suggestions.
@@ -24,7 +26,7 @@ You can contribute by:
### Additional Support: ### Additional Support:
- Follow on [Twitter](https://twitter.com/AnsonBiggs) - Follow on [Twitter](https://twitter.com/AnsonBiggs)
- Contribute or star the project on [GitLab](https://gitlab.com/simple-stock-bots) - Contribute or star the project on [GitLab](https://gitlab.com/simple-stock-bots/simple-stock-bot)
- Utilize referral links for self-hosting: - Utilize referral links for self-hosting:
- [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=web)
@@ -32,12 +34,14 @@ You can contribute by:
## Hosting ## Hosting
Self-hosting instructions are provided for those interested in running the bot on their own servers: Self-hosting instructions are provided for those interested in running the bot on their own servers:
- [Hosting Guide](https://docs.simplestockbot.com/hosting/)
- [Hosting Guide](https://simplestockbot.com/hosting/)
## Contact ## Contact
Reach out for bug reports, feature requests, or other inquiries: Reach out for bug reports, feature requests, or other inquiries:
- [Contact Page](https://docs.simplestockbot.com/contact/)
- [Contact Page](https://simplestockbot.com/contact/)
--- ---
+367 -269
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@@ -1,269 +1,367 @@
import datetime as dt import datetime as dt
import logging import logging
import os import os
from typing import Dict from collections import OrderedDict
from typing import Dict
import pandas as pd
import pytz import humanize
import requests as r import pandas as pd
import schedule import pytz
import requests as r
from common.Symbol import Stock import schedule
log = logging.getLogger(__name__)
from common.Symbol import Stock
class MarketData: log = logging.getLogger(__name__)
"""
Functions for finding stock market information about symbols from MarkData.app
""" class MarketData:
"""
SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})" Functions for finding stock market information about symbols from MarkData.app
"""
charts: Dict[Stock, pd.DataFrame] = {}
SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})"
openTime = dt.time(hour=9, minute=30, second=0)
marketTimeZone = pytz.timezone("US/Eastern") symbol_list: Dict[str, Dict] = {}
charts: Dict[Stock, pd.DataFrame] = {}
def __init__(self) -> None:
"""Creates a Symbol Object openTime = dt.time(hour=9, minute=30, second=0)
marketTimeZone = pytz.timezone("US/Eastern")
Parameters
---------- def __init__(self) -> None:
MARKETDATA_TOKEN : str """Creates a Symbol Object
MarketData.app API Token
""" Parameters
----------
try: MARKETDATA_TOKEN : str
self.MARKETDATA_TOKEN = os.environ["MARKETDATA"] MarketData.app API Token
"""
if self.MARKETDATA_TOKEN == "TOKEN":
self.MARKETDATA_TOKEN = "" try:
except KeyError: self.MARKETDATA_TOKEN = os.environ["MARKETDATA"]
self.MARKETDATA_TOKEN = ""
log.warning("Starting without an MarketData.app Token will not allow you to get market data!") if self.MARKETDATA_TOKEN == "TOKEN":
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") except KeyError:
self.MARKETDATA_TOKEN = ""
if self.MARKETDATA_TOKEN != "": log.warning("Starting without an MarketData.app Token will not allow you to get market data!")
schedule.every().day.do(self.clear_charts) log.warning("Use this affiliate link so that the bot can stay free:")
log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo")
def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
url = "https://api.marketdata.app/v1/" + endpoint if self.MARKETDATA_TOKEN != "":
schedule.every().day.do(self.clear_charts)
# set token param if it wasn't passed.
params["token"] = self.MARKETDATA_TOKEN self.get_symbol_list()
schedule.every().day.do(self.get_symbol_list)
# Undocumented query variable that ensures bot usage can be
# monitored even if someone doesn't make it through an affiliate link. def get(self, endpoint, params=None, timeout=10, headers=None) -> dict:
params["application"] = "simplestockbot" url = "https://api.marketdata.app/v1/" + endpoint
resp = r.get(url, params=params, timeout=timeout) if params is None:
params = {}
# Make sure API returned a proper status code
try: # set token param if it wasn't passed.
resp.raise_for_status() params["token"] = self.MARKETDATA_TOKEN
except r.exceptions.HTTPError as e:
logging.error(e) # Undocumented query variable that ensures bot usage can be
return {} # monitored even if someone doesn't make it through an affiliate link.
params["application"] = "simplestockbot"
# Make sure API returned valid JSON
try: if headers is None:
resp_json = resp.json() headers = {}
headers = {"User-Agent": "Simple Stock Bot anson@ansonbiggs.com"} | headers
match resp_json["s"]:
case "ok": resp = r.get(url, params=params, timeout=timeout, headers=headers)
return resp_json
case "no_data": logging.error(resp.headers.items())
return resp_json
case "error": # Make sure API returned a proper status code
logging.error("MarketData Error:\n" + resp_json["errmsg"]) try:
return {} resp.raise_for_status()
except r.exceptions.HTTPError as e:
except r.exceptions.JSONDecodeError as e: logging.error(e)
logging.error(e) return {}
return {} # Make sure API returned valid JSON
try:
def clear_charts(self) -> None: resp_json = resp.json()
"""
Clears cache of chart data. match resp_json["s"]:
Charts are cached so that only 1 API call per 24 hours is needed since the case "ok":
chart data is expensive and a large download. return resp_json
""" case "no_data":
self.charts = {} return resp_json
case "error":
def status(self) -> str: logging.error("MarketData Error:\n" + resp_json["errmsg"])
# TODO: At the moment this API is poorly documented, this function likely needs to be revisited later. return {}
try: except r.exceptions.JSONDecodeError as e:
status = r.get( logging.error(e)
"https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A",
timeout=5, return {}
)
status.raise_for_status() def symbol_id(self, symbol: str) -> Dict[str, Dict]:
except r.HTTPError: return self.symbol_list.get(symbol.upper(), None)
return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
except r.Timeout: def get_symbol_list(self):
return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage." # Doesn't use `self.get()` since needs are much different
sec_resp = r.get(
statusJSON = status.json() "https://www.sec.gov/files/company_tickers.json",
headers={
if statusJSON["status"] == "ok": "User-Agent": "Simple Stock Bot anson@ansonbiggs.com",
return ( "Accept-Encoding": "gzip, deflate",
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds." "Host": "www.sec.gov",
) },
else: )
return f"MarketData.app is currently reporting the following status: {statusJSON['status']}" sec_resp.raise_for_status()
sec_data = sec_resp.json()
def price_reply(self, symbol: Stock) -> str:
"""Returns price movement of Stock for the last market day, or after hours. for rank, ticker_info in sec_data.items():
self.symbol_list[ticker_info["ticker"]] = {
Parameters "ticker": ticker_info["ticker"],
---------- "title": ticker_info["title"],
symbol : Stock "mkt_cap_rank": rank,
}
Returns
------- def clear_charts(self) -> None:
str """
Formatted markdown Clears cache of chart data.
""" Charts are cached so that only 1 API call per 24 hours is needed since the
chart data is expensive and a large download.
if quoteResp := self.get(f"stocks/quotes/{symbol}/"): """
price = round(quoteResp["last"][0], 2) self.charts = {}
try: def status(self) -> str:
changePercent = round(quoteResp["changepct"][0], 2) # TODO: At the moment this API is poorly documented, this function likely needs to be revisited later.
except TypeError:
return f"The price of {symbol} is {price}" try:
status = r.get(
message = f"The current price of {symbol.name} is ${price} and " "https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A",
timeout=5,
if changePercent > 0.0: )
message += f"is currently up {changePercent}% for the day." status.raise_for_status()
elif changePercent < 0.0: except r.HTTPError:
message += f"is currently down {changePercent}% for the day." return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
else: except r.Timeout:
message += "hasn't shown any movement for the day." return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage."
return message statusJSON = status.json()
else:
return f"Getting a quote for {symbol} encountered an error." if statusJSON["status"] == "ok":
return (
def spark_reply(self, symbol: Stock) -> str: f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
if quoteResp := self.get(f"stocks/quotes/{symbol}/"): )
try: else:
changePercent = round(quoteResp["changepct"][0], 2) return f"MarketData.app is currently reporting the following status: {statusJSON['status']}"
return f"`{symbol.tag}`: {changePercent}%"
except TypeError: def price_reply(self, symbol: Stock) -> str:
pass """Returns price movement of Stock for the last market day, or after hours.
return f"`{symbol.tag}`" Parameters
----------
def intra_reply(self, symbol: Stock) -> pd.DataFrame: symbol : Stock
"""Returns price data for a symbol of the past month up until the previous trading days close.
Also caches multiple requests made in the same day. Returns
-------
Parameters str
---------- Formatted markdown
symbol : str """
Stock symbol.
if quoteResp := self.get(f"stocks/quotes/{symbol.symbol}/"):
Returns price = round(quoteResp["last"][0], 2)
-------
pd.DataFrame try:
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. changePercent = round(quoteResp["changepct"][0], 2)
""" except TypeError:
schedule.run_pending() return f"The price of {symbol.name} is ${price}"
try: message = f"The current price of {symbol.name} is ${price} and "
return self.charts[symbol.id.upper()]
except KeyError: if changePercent > 0.0:
pass message += f"is currently up {changePercent}% for the day."
elif changePercent < 0.0:
resolution = "15" # minutes message += f"is currently down {changePercent}% for the day."
now = dt.datetime.now(self.marketTimeZone) else:
message += "hasn't shown any movement for the day."
if self.openTime < now.time():
startTime = now.replace(hour=9, minute=30) return message
else: else:
startTime = now - dt.timedelta(days=1) return f"Getting a quote for {symbol} encountered an error."
if data := self.get( def spark_reply(self, symbol: Stock) -> str:
f"stocks/candles/{resolution}/{symbol}", if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True}, try:
): changePercent = round(quoteResp["changepct"][0], 2)
data.pop("s") return f"`{symbol.tag}`: {changePercent}%"
df = pd.DataFrame(data) except TypeError:
df["t"] = pd.to_datetime(df["t"], unit="s", utc=True) pass
df.set_index("t", inplace=True)
return f"`{symbol.tag}`"
df.rename(
columns={ def intra_reply(self, symbol: Stock) -> pd.DataFrame:
"o": "Open", """Returns price data for a symbol of the past month up until the previous trading days close.
"h": "High", Also caches multiple requests made in the same day.
"l": "Low",
"c": "Close", Parameters
"v": "Volume", ----------
}, symbol : str
inplace=True, Stock symbol.
)
Returns
self.charts[symbol.id.upper()] = df -------
return df pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
return pd.DataFrame() """
schedule.run_pending()
def chart_reply(self, symbol: Stock) -> pd.DataFrame:
"""Returns price data for a symbol of the past month up until the previous trading days close. try:
Also caches multiple requests made in the same day. return self.charts[symbol.id.upper()]
except KeyError:
Parameters pass
----------
symbol : str resolution = "15" # minutes
Stock symbol. now = dt.datetime.now(self.marketTimeZone)
Returns if self.openTime < now.time():
------- startTime = now.replace(hour=9, minute=30)
pd.DataFrame else:
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. startTime = now - dt.timedelta(days=1)
"""
schedule.run_pending() if data := self.get(
f"stocks/candles/{resolution}/{symbol}",
try: params={
return self.charts[symbol.id.upper()] "from": startTime.timestamp(),
except KeyError: "to": now.timestamp(),
pass "extended": True,
},
to_date = dt.datetime.today().strftime("%Y-%m-%d") ):
from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d") data.pop("s")
resultion = "daily" df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s", utc=True)
if data := self.get( df.set_index("t", inplace=True)
f"stocks/candles/{resultion}/{symbol}",
params={ df.rename(
"from": from_date, columns={
"to": to_date, "o": "Open",
}, "h": "High",
): "l": "Low",
data.pop("s") "c": "Close",
"v": "Volume",
df = pd.DataFrame(data) },
df["t"] = pd.to_datetime(df["t"], unit="s") inplace=True,
df.set_index("t", inplace=True) )
df.rename( self.charts[symbol.id.upper()] = df
columns={ return df
"o": "Open",
"h": "High", return pd.DataFrame()
"l": "Low",
"c": "Close", def chart_reply(self, symbol: Stock) -> pd.DataFrame:
"v": "Volume", """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.
inplace=True,
) Parameters
----------
self.charts[symbol.id.upper()] = df symbol : str
return df Stock symbol.
return pd.DataFrame() Returns
-------
pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
"""
schedule.run_pending()
try:
return self.charts[symbol.id.upper()]
except KeyError:
pass
to_date = dt.datetime.today().strftime("%Y-%m-%d")
from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d")
resultion = "daily"
if data := self.get(
f"stocks/candles/{resultion}/{symbol}",
params={
"from": from_date,
"to": to_date,
},
):
data.pop("s")
df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s")
df.set_index("t", inplace=True)
df.rename(
columns={
"o": "Open",
"h": "High",
"l": "Low",
"c": "Close",
"v": "Volume",
},
inplace=True,
)
self.charts[symbol.id.upper()] = df
return df
return pd.DataFrame()
def options_reply(self, request: str) -> str:
"""Undocumented API Usage!"""
options_data = self.get(f"options/quotes/{request}")
for key in options_data.keys():
options_data[key] = options_data[key][0]
options_data["underlying"] = "$" + options_data["underlying"]
options_data["updated"] = humanize.naturaltime(dt.datetime.now() - dt.datetime.fromtimestamp(options_data["updated"]))
options_data["expiration"] = humanize.naturaltime(
dt.datetime.now() - dt.datetime.fromtimestamp(options_data["expiration"])
)
options_data["firstTraded"] = humanize.naturaltime(
dt.datetime.now() - dt.datetime.fromtimestamp(options_data["firstTraded"])
)
rename = {
"optionSymbol": "Option Symbol",
"underlying": "Underlying",
"expiration": "Expiration",
"side": "side",
"strike": "strike",
"firstTraded": "First Traded",
"updated": "Last Updated",
"bid": "bid",
"bidSize": "bidSize",
"mid": "mid",
"ask": "ask",
"askSize": "askSize",
"last": "last",
"openInterest": "Open Interest",
"volume": "Volume",
"inTheMoney": "inTheMoney",
"intrinsicValue": "Intrinsic Value",
"extrinsicValue": "Extrinsic Value",
"underlyingPrice": "Underlying Price",
"iv": "Implied Volatility",
"delta": "delta",
"gamma": "gamma",
"theta": "theta",
"vega": "vega",
"rho": "rho",
}
options_cleaned = OrderedDict()
for old, new in rename.items():
if old in options_data:
options_cleaned[new] = options_data[old]
return options_cleaned
+55 -50
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@@ -1,50 +1,55 @@
import pandas as pd import logging
import logging
import pandas as pd
class Symbol:
""" class Symbol:
symbol: What the user calls it. ie tsla or btc """
id: What the api expects. ie tsla or bitcoin symbol: What the user calls it. ie tsla or btc
name: Human readable. ie Tesla or Bitcoin id: What the api expects. ie tsla or bitcoin
tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC name: Human readable. ie Tesla or Bitcoin
""" tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC
"""
currency = "usd"
pass currency = "usd"
pass
def __init__(self, symbol) -> None:
self.symbol = symbol def __init__(self, symbol) -> None:
self.id = symbol self.symbol = symbol
self.name = symbol self.id = symbol
self.tag = "$" + symbol self.name = symbol
self.tag = "$" + symbol
def __repr__(self) -> str:
return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>" def __repr__(self) -> str:
return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>"
def __str__(self) -> str:
return self.id def __str__(self) -> str:
return self.id
class Stock(Symbol): def __hash__(self):
"""Stock Market Object. Gets data from MarketData""" return hash(self.id)
def __init__(self, symbol: str) -> None:
self.symbol = symbol class Stock(Symbol):
self.id = symbol """Stock Market Object. Gets data from MarketData"""
self.name = "$" + symbol.upper()
self.tag = "$" + symbol.lower() def __init__(self, symbol_info: dict) -> None:
self.symbol = symbol_info["ticker"]
self.id = symbol_info["ticker"]
class Coin(Symbol): self.name = symbol_info["title"]
"""Cryptocurrency Object. Gets data from CoinGecko.""" self.tag = "$" + symbol_info["ticker"]
self.market_cap_rank = symbol_info["mkt_cap_rank"]
def __init__(self, symbol: pd.DataFrame) -> None:
if len(symbol) > 1:
logging.info(f"Crypto with shared id:\n\t{symbol.id}") class Coin(Symbol):
symbol = symbol.head(1) """Cryptocurrency Object. Gets data from CoinGecko."""
self.symbol = symbol.symbol.values[0] def __init__(self, symbol: pd.DataFrame) -> None:
self.id = symbol.id.values[0] if len(symbol) > 1:
self.name = symbol.name.values[0] logging.info(f"Crypto with shared id:\n\t{symbol.id}")
self.tag = symbol.type_id.values[0].upper() symbol = symbol.head(1)
self.symbol = symbol.symbol.values[0]
self.id = symbol.id.values[0]
self.name = symbol.name.values[0]
self.tag = symbol.type_id.values[0].upper()
+380 -367
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@@ -1,367 +1,380 @@
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__) import time
log = logging.getLogger(__name__)
class cg_Crypto:
"""
Functions for finding crypto info class cg_Crypto:
""" """
Functions for finding crypto info
vs_currency = "usd" # simple/supported_vs_currencies for list of options """
trending_cache: List[str] = [] vs_currency = "usd" # simple/supported_vs_currencies for list of options
def __init__(self) -> None: trending_cache: List[str] = []
self.get_symbol_list()
schedule.every().day.do(self.get_symbol_list) def __init__(self) -> None:
self.get_symbol_list()
def get(self, endpoint, params: dict = {}, timeout=10) -> dict: schedule.every().day.do(self.get_symbol_list)
url = "https://api.coingecko.com/api/v3" + endpoint
resp = r.get(url, params=params, timeout=timeout) # Coingecko's rate limit is 30 requests per minute.
# Make sure API returned a proper status code # Since there are two bots sharing the same IP, we allocate half of that limit to each bot.
try: # This results in a rate limit of 15 requests per minute for each bot.
resp.raise_for_status() # Given this, the rate limit effectively becomes 1 request every 4 seconds for each bot.
except r.exceptions.HTTPError as e: @rate_limited(0.25)
log.error(e) def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
return {} url = "https://api.coingecko.com/api/v3" + endpoint
resp = r.get(url, params=params, timeout=timeout)
# Make sure API returned valid JSON # Make sure API returned a proper status code
try:
resp_json = resp.json() if resp.status_code == 429:
return resp_json log.warning(f"CoinGecko returned 429 - Too Many Requests for endpoint: {endpoint}. Sleeping and trying again.")
except r.exceptions.JSONDecodeError as e: time.sleep(10)
log.error(e) return self.get(endpoint=endpoint, params=params, timeout=timeout)
return {}
try:
def symbol_id(self, symbol) -> str: resp.raise_for_status()
try: except r.exceptions.HTTPError as e:
return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0] log.error(e)
except KeyError: return {}
return ""
# Make sure API returned valid JSON
def get_symbol_list(self): try:
raw_symbols = self.get("/coins/list") resp_json = resp.json()
symbols = pd.DataFrame(data=raw_symbols) return resp_json
except r.exceptions.JSONDecodeError as e:
# Removes all binance-peg symbols log.error(e)
symbols = symbols[~symbols["id"].str.contains("binance-peg")] return {}
symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"] def symbol_id(self, symbol) -> str:
symbols = symbols[["id", "symbol", "name", "description"]] try:
symbols["type_id"] = "$$" + symbols["symbol"] return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0]
except KeyError:
self.symbol_list = symbols return ""
def status(self) -> str: def get_symbol_list(self):
"""Checks CoinGecko /ping endpoint for API issues. raw_symbols = self.get("/coins/list")
symbols = pd.DataFrame(data=raw_symbols)
Returns
------- # Removes all binance-peg symbols
str symbols = symbols[~symbols["id"].str.contains("binance-peg")]
Human readable text on status of CoinGecko API
""" symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"]
status = r.get( symbols = symbols[["id", "symbol", "name", "description"]]
"https://api.coingecko.com/api/v3/ping", symbols["type_id"] = "$$" + symbols["symbol"]
timeout=5,
) self.symbol_list = symbols
try: def status(self) -> str:
status.raise_for_status() """Checks CoinGecko /ping endpoint for API issues.
return (
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds." Returns
) -------
except r.HTTPError: str
return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} seconds." Human readable text on status of CoinGecko API
"""
def price_reply(self, coin: Coin) -> str: status = r.get(
"""Returns current market price or after hours if its available for a given coin symbol. "https://api.coingecko.com/api/v3/ping",
timeout=5,
Parameters )
----------
symbols : list try:
List of coin symbols. status.raise_for_status()
return (
Returns f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
------- )
Dict[str, str] except r.HTTPError:
Each symbol passed in is a key with its value being a human readable return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
markdown formatted string of the symbols price and movement.
""" def price_reply(self, coin: Coin) -> str:
"""Returns current market price or after hours if its available for a given coin symbol.
if resp := self.get(
"/simple/price", Parameters
params={ ----------
"ids": coin.id, symbols : list
"vs_currencies": self.vs_currency, List of coin symbols.
"include_24hr_change": "true",
}, Returns
): -------
try: Dict[str, str]
data = resp[coin.id] Each symbol passed in is a key with its value being a human readable
markdown formatted string of the symbols price and movement.
price = data[self.vs_currency] """
change = data[self.vs_currency + "_24h_change"]
if change is None: if resp := self.get(
change = 0 "/simple/price",
except KeyError: params={
return f"{coin.id} returned an error." "ids": coin.id,
"vs_currencies": self.vs_currency,
message = f"The current price of {coin.name} is $**{price:,}**" "include_24hr_change": "true",
},
# Determine wording of change text ):
if change > 0: try:
message += f", the coin is currently **up {change:.3f}%** for today" data = resp[coin.id]
elif change < 0:
message += f", the coin is currently **down {change:.3f}%** for today" price = data[self.vs_currency]
else: change = data[self.vs_currency + "_24h_change"]
message += ", the coin hasn't shown any movement today." if change is None:
change = 0
else: except KeyError:
message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`" return f"{coin.id} returned an error."
return message message = f"The current price of {coin.name} is $**{price:,}**"
def intra_reply(self, symbol: Coin) -> pd.DataFrame: # Determine wording of change text
"""Returns price data for a symbol since the last market open. if change > 0:
message += f", the coin is currently **up {change:.3f}%** for today"
Parameters elif change < 0:
---------- message += f", the coin is currently **down {change:.3f}%** for today"
symbol : str else:
Stock symbol. message += ", the coin hasn't shown any movement today."
Returns else:
------- message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`"
pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame. return message
"""
def intra_reply(self, symbol: Coin) -> pd.DataFrame:
if resp := self.get( """Returns price data for a symbol since the last market open.
f"/coins/{symbol.id}/ohlc",
params={"vs_currency": self.vs_currency, "days": 1}, Parameters
): ----------
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna() symbol : str
df["Date"] = pd.to_datetime(df["Date"], unit="ms") Stock symbol.
df = df.set_index("Date")
return df Returns
-------
return pd.DataFrame() pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
def chart_reply(self, symbol: Coin) -> pd.DataFrame: """
"""Returns price data for a symbol of the past month up until the previous trading days close.
Also caches multiple requests made in the same day. if resp := self.get(
f"/coins/{symbol.id}/ohlc",
Parameters params={"vs_currency": self.vs_currency, "days": 1},
---------- ):
symbol : str df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
Stock symbol. df["Date"] = pd.to_datetime(df["Date"], unit="ms")
df = df.set_index("Date")
Returns return df
-------
pd.DataFrame return pd.DataFrame()
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
""" def chart_reply(self, symbol: Coin) -> pd.DataFrame:
"""Returns price data for a symbol of the past month up until the previous trading days close.
if resp := self.get( Also caches multiple requests made in the same day.
f"/coins/{symbol.id}/ohlc",
params={"vs_currency": self.vs_currency, "days": 30}, Parameters
): ----------
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna() symbol : str
df["Date"] = pd.to_datetime(df["Date"], unit="ms") Stock symbol.
df = df.set_index("Date")
return df Returns
-------
return pd.DataFrame() pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
def stat_reply(self, symbol: Coin) -> str: """
"""Gathers key statistics on coin. Mostly just CoinGecko scores.
if resp := self.get(
Parameters f"/coins/{symbol.id}/ohlc",
---------- params={"vs_currency": self.vs_currency, "days": 30},
symbol : Coin ):
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
Returns df["Date"] = pd.to_datetime(df["Date"], unit="ms")
------- df = df.set_index("Date")
str return df
Preformatted markdown.
""" return pd.DataFrame()
if data := self.get( def stat_reply(self, symbol: Coin) -> str:
f"/coins/{symbol.id}", """Gathers key statistics on coin. Mostly just CoinGecko scores.
params={
"localization": "false", Parameters
}, ----------
): symbol : Coin
return f"""
[{data['name']}]({data['links']['homepage'][0]}) Statistics: Returns
Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,} -------
Market Cap Ranking: {data.get('market_cap_rank',"Not Available")} str
CoinGecko Scores: Preformatted markdown.
Overall: {data.get('coingecko_score','Not Available')} """
Development: {data.get('developer_score','Not Available')}
Community: {data.get('community_score','Not Available')} if data := self.get(
Public Interest: {data.get('public_interest_score','Not Available')} f"/coins/{symbol.id}",
""" params={
else: "localization": "false",
return f"{symbol.symbol} returned an error." },
):
def cap_reply(self, coin: Coin) -> str: return f"""
"""Gets market cap for Coin [{data['name']}]({data['links']['homepage'][0]}) Statistics:
Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,}
Parameters Market Cap Ranking: {data.get('market_cap_rank',"Not Available")}
---------- CoinGecko Scores:
coin : Coin Overall: {data.get('coingecko_score','Not Available')}
Development: {data.get('developer_score','Not Available')}
Returns Community: {data.get('community_score','Not Available')}
------- Public Interest: {data.get('public_interest_score','Not Available')}
str """
Preformatted markdown. else:
""" return f"{symbol.symbol} returned an error."
if resp := self.get( def cap_reply(self, coin: Coin) -> str:
"/simple/price", """Gets market cap for Coin
params={
"ids": coin.id, Parameters
"vs_currencies": self.vs_currency, ----------
"include_market_cap": "true", coin : Coin
},
): Returns
log.debug(resp) -------
try: str
data = resp[coin.id] Preformatted markdown.
"""
price = data[self.vs_currency]
cap = data[self.vs_currency + "_market_cap"] if resp := self.get(
except KeyError: "/simple/price",
return f"{coin.id} returned an error." params={
"ids": coin.id,
if cap == 0: "vs_currencies": self.vs_currency,
return f"The market cap for {coin.name} is not available for unknown reasons." "include_market_cap": "true",
},
message = ( ):
f"The current price of {coin.name} is $**{price:,}** and" log.debug(resp)
+ " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}" try:
) data = resp[coin.id]
else: price = data[self.vs_currency]
message = f"The Coin: {coin.name} was not found or returned and error." cap = data[self.vs_currency + "_market_cap"]
except KeyError:
return message return f"{coin.id} returned an error."
def info_reply(self, symbol: Coin) -> str: if cap == 0:
"""Gets coin description return f"The market cap for {coin.name} is not available for unknown reasons."
Parameters message = (
---------- f"The current price of {coin.name} is $**{price:,}** and"
symbol : Coin + " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}"
)
Returns
------- else:
str message = f"The Coin: {coin.name} was not found or returned and error."
Preformatted markdown.
""" return message
if data := self.get( def info_reply(self, symbol: Coin) -> str:
f"/coins/{symbol.id}", """Gets coin description
params={"localization": "false"},
): Parameters
try: ----------
return markdownify(data["description"]["en"]) symbol : Coin
except KeyError:
return f"{symbol} does not have a description available." Returns
-------
return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist." str
Preformatted markdown.
def spark_reply(self, symbol: Coin) -> str: """
change = self.get(
"/simple/price", if data := self.get(
params={ f"/coins/{symbol.id}",
"ids": symbol.id, params={"localization": "false"},
"vs_currencies": self.vs_currency, ):
"include_24hr_change": "true", try:
}, return markdownify(data["description"]["en"])
)[symbol.id]["usd_24h_change"] except KeyError:
return f"{symbol} does not have a description available."
return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%"
return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
def trending(self) -> list[str]:
"""Gets current coins trending on coingecko def spark_reply(self, symbol: Coin) -> str:
change = self.get(
Returns "/simple/price",
------- params={
list[str] "ids": symbol.id,
list of $$ID: NAME, CHANGE% "vs_currencies": self.vs_currency,
""" "include_24hr_change": "true",
},
coins = self.get("/search/trending") )[symbol.id]["usd_24h_change"]
try:
trending = [] return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%"
for coin in coins["coins"]:
c = coin["item"] def trending(self) -> list[str]:
"""Gets current coins trending on coingecko
sym = c["symbol"].upper()
name = c["name"] Returns
change = self.get( -------
"/simple/price", list[str]
params={ list of $$ID: NAME, CHANGE%
"ids": c["id"], """
"vs_currencies": self.vs_currency,
"include_24hr_change": "true", coins = self.get("/search/trending")
}, try:
)[c["id"]]["usd_24h_change"] trending = []
for coin in coins["coins"]:
msg = f"`$${sym}`: {name}, {change:.2f}%" c = coin["item"]
trending.append(msg) sym = c["symbol"].upper()
name = c["name"]
except Exception as e: change = self.get(
log.warning(e) "/simple/price",
return self.trending_cache params={
"ids": c["id"],
self.trending_cache = trending "vs_currencies": self.vs_currency,
return trending "include_24hr_change": "true",
},
def batch_price(self, coins: list[Coin]) -> list[str]: )[c["id"]]["usd_24h_change"]
"""Gets price of a list of coins all in one API call
msg = f"`$${sym}`: {name}, {change:.2f}%"
Parameters
---------- trending.append(msg)
coins : list[Coin]
except Exception as e:
Returns log.warning(e)
------- return self.trending_cache
list[str]
returns preformatted list of strings detailing price movement of each coin passed in. self.trending_cache = trending
""" return trending
query = ",".join([c.id for c in coins])
def batch_price(self, coins: list[Coin]) -> list[str]:
prices = self.get( """Gets price of a list of coins all in one API call
"/simple/price",
params={ Parameters
"ids": query, ----------
"vs_currencies": self.vs_currency, coins : list[Coin]
"include_24hr_change": "true",
}, Returns
) -------
list[str]
replies = [] returns preformatted list of strings detailing price movement of each coin passed in.
for coin in coins: """
if coin.id in prices: query = ",".join([c.id for c in coins])
p = prices[coin.id]
prices = self.get(
if p.get("usd_24h_change") is None: "/simple/price",
p["usd_24h_change"] = 0 params={
"ids": query,
replies.append( "vs_currencies": self.vs_currency,
f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours." "include_24hr_change": "true",
) },
)
return replies
replies = []
for coin in coins:
if coin.id in prices:
p = prices[coin.id]
if p.get("usd_24h_change") is None:
p["usd_24h_change"] = 0
replies.append(
f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours."
)
return replies
+8 -6
View File
@@ -1,6 +1,8 @@
requests==2.31.0 cachetools==5.3.1
pandas==2.1.1 humanize==4.8.0
schedule==1.2.1 markdownify==0.11.6
mplfinance==0.12.10b0 mplfinance==0.12.10b0
markdownify==0.11.6 pandas==2.1.1
cachetools==5.3.1 requests==2.31.0
rush==2021.4.0
schedule==1.2.1
+407 -395
View File
@@ -1,395 +1,407 @@
"""Function that routes symbols to the correct API provider. """Function that routes symbols to the correct API provider.
""" """
import datetime import datetime
import logging import logging
import random import random
import re import re
from typing import Dict
import pandas as pd
import schedule import pandas as pd
from cachetools import TTLCache, cached import schedule
from cachetools import TTLCache, cached
from common.cg_Crypto import cg_Crypto
from common.MarketData import MarketData from common.cg_Crypto import cg_Crypto
from common.Symbol import Coin, Stock, Symbol from common.MarketData import MarketData
from common.Symbol import Coin, Stock, Symbol
from typing import Dict
log = logging.getLogger(__name__)
log = logging.getLogger(__name__)
class Router:
class Router: STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})"
STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})" CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})"
CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})" trending_count: Dict[str, float] = {}
trending_count: Dict[str, float] = {}
def __init__(self):
def __init__(self): self.stock = MarketData()
self.stock = MarketData() self.crypto = cg_Crypto()
self.crypto = cg_Crypto()
schedule.every().hour.do(self.trending_decay)
schedule.every().hour.do(self.trending_decay)
def trending_decay(self, decay=0.5):
def trending_decay(self, decay=0.5): """Decays the value of each trending stock by a multiplier"""
"""Decays the value of each trending stock by a multiplier""" t_copy = {}
t_copy = {} dead_keys = []
dead_keys = [] if self.trending_count:
if self.trending_count: t_copy = self.trending_count.copy()
t_copy = self.trending_count.copy() for key in t_copy.keys():
for key in t_copy.keys(): if t_copy[key] < 0.01:
if t_copy[key] < 0.01: # Prune Keys
# This just makes sure were not keeping around keys that havent been called in a very long time. dead_keys.append(key)
dead_keys.append(key) else:
else: t_copy[key] = t_copy[key] * decay
t_copy[key] = t_copy[key] * decay for dead in dead_keys:
for dead in dead_keys: t_copy.pop(dead)
t_copy.pop(dead)
self.trending_count = t_copy.copy()
self.trending_count = t_copy.copy() log.info("Decayed trending symbols.")
log.info("Decayed trending symbols.")
def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Coin]:
def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Symbol]: """Finds stock tickers starting with a dollar sign, and cryptocurrencies with two dollar signs
"""Finds stock tickers starting with a dollar sign, and cryptocurrencies with two dollar signs in a blob of text and returns them in a list.
in a blob of text and returns them in a list.
Parameters
Parameters ----------
---------- text : str
text : str Blob of text.
Blob of text.
Returns
Returns -------
------- list[Symbol]
list[Symbol] List of stock symbols as Symbol objects
List of stock symbols as Symbol objects """
""" schedule.run_pending()
schedule.run_pending()
symbols: list[Symbol] = []
symbols: list[Symbol] = [] stock_matches = set(re.findall(self.STOCK_REGEX, text))
stocks = set(re.findall(self.STOCK_REGEX, text)) coin_matches = set(re.findall(self.CRYPTO_REGEX, text))
for stock in stocks:
# Market data lacks tools to check if a symbol is valid. for stock_match in stock_matches:
symbols.append(Stock(stock)) # Market data lacks tools to check if a symbol is valid.
if stock_info := self.stock.symbol_id(stock_match):
coins = set(re.findall(self.CRYPTO_REGEX, text)) symbols.append(Stock(stock_info))
for coin in coins: else:
sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin.lower(), case=False)] log.info(f"{stock_match} is not in list of stocks")
if sym.empty:
log.info(f"{coin} is not in list of coins") for coin_match in coin_matches:
else: sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin_match.lower(), case=False)]
symbols.append(Coin(sym)) if sym.empty:
if symbols: log.info(f"{coin_match} is not in list of coins")
for symbol in symbols: else:
self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight symbols.append(Coin(sym))
log.debug(self.trending_count) if symbols:
for symbol in symbols:
return symbols self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight
log.debug(self.trending_count)
def status(self, bot_resp) -> str:
"""Checks for any issues with APIs. return symbols
Returns def status(self, bot_resp) -> str:
------- """Checks for any issues with APIs.
str
Human readable text on status of the bot and relevant APIs Returns
""" -------
str
stats = f""" Human readable text on status of the bot and relevant APIs
Bot Status: """
{bot_resp}
stats = f"""
Stock Market Data: Bot Status:
{self.stock.status()} {bot_resp}
Cryptocurrency Data: Stock Market Data:
{self.crypto.status()} {self.stock.status()}
"""
Cryptocurrency Data:
log.warning(stats) {self.crypto.status()}
"""
return stats
log.warning(stats)
def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame:
"""Searches based on the shortest symbol that contains the same string as the search. return stats
Should be very fast compared to a fuzzy search.
def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame:
Parameters """Searches based on the shortest symbol that contains the same string as the search.
---------- Should be very fast compared to a fuzzy search.
search : str
String used to match against symbols. Parameters
----------
Returns search : str
------- String used to match against symbols.
list[tuple[str, str]]
Each tuple contains: (Symbol, Issue Name). Returns
""" -------
list[tuple[str, str]]
# df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list]) Each tuple contains: (Symbol, Issue Name).
df = 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 on CoinGecko:\n`" reply += self.spark_reply(self.find_symbols(t))[0] + "\n"
reply += "" * len("Trending on CoinGecko:") + "`\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."
choice = random.choice(list(self.crypto.symbol_list["description"]))
hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y") def random_pick(self) -> str:
# choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"]))
return f"{choice}\nBuy and hold until: {hold}" choice = random.choice(list(self.crypto.symbol_list["description"]))
hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y")
def batch_price_reply(self, symbols: list[Symbol]) -> list[str]:
"""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]:
---------- """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
stocks = [] markdown formatted string of the symbols price and movement.
coins = [] """
replies = []
for symbol in symbols: stocks = []
if isinstance(symbol, Stock): coins = []
stocks.append(symbol)
elif isinstance(symbol, Coin): for symbol in symbols:
coins.append(symbol) if isinstance(symbol, Stock):
else: stocks.append(symbol)
log.debug(f"{symbol} is not a Stock or Coin") elif isinstance(symbol, Coin):
coins.append(symbol)
if stocks: else:
for stock in stocks: log.debug(f"{symbol} is not a Stock or Coin")
replies.append(self.stock.price_reply(stock))
if coins: if stocks:
replies = replies + self.crypto.batch_price(coins) for stock in stocks:
replies.append(self.stock.price_reply(stock))
return replies if coins:
replies = replies + self.crypto.batch_price(coins)
return replies
def options(self, request: str, symbols: list[Symbol]) -> Dict:
request = request.lower()
if len(symbols) == 1:
symbol = symbols[0]
request = request.replace(symbol.tag.lower(), symbol.symbol.lower())
return self.stock.options_reply(request)
else:
return self.stock.options_reply(request)
+31
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@@ -0,0 +1,31 @@
import time
import logging
log = logging.getLogger(__name__)
def rate_limited(max_per_second):
"""
Decorator that ensures the wrapped function is called at most `max_per_second` times per second.
"""
min_interval = 1.0 / max_per_second
def decorate(func):
last_called = [0.0]
def rate_limited_function(*args, **kwargs):
elapsed = time.time() - last_called[0]
left_to_wait = min_interval - elapsed
if left_to_wait > 0:
log.info(f"Rate limit exceeded. Waiting for {left_to_wait:.2f} seconds.")
time.sleep(left_to_wait)
ret = func(*args, **kwargs)
last_called[0] = time.time()
return ret
return rate_limited_function
return decorate
+6 -6
View File
@@ -1,10 +1,10 @@
-r common/requirements.txt -r common/requirements.txt
-r docs/requirements.txt -r site/requirements.txt
black==23.7.0 ipython==8.16.1
flake8==6.1.0 jupyter_client==8.4.0
Flake8-pyproject==1.2.3 jupyter_core==5.4.0
pylama==8.4.1 pylama==8.4.1
mypy==1.5.1 mypy==1.5.1
types-cachetools==5.3.0.6 types-cachetools==5.3.0.6
types-pytz==2023.3.0.1 types-pytz==2023.3.1.1
ruff==0.0.292 ruff==0.1.6
+59 -59
View File
@@ -1,59 +1,59 @@
"""Functions and Info specific to the discord Bot """Functions and Info specific to the discord Bot
""" """
import re import re
import requests as r import requests as r
class D_info: class D_info:
license = re.sub( license = re.sub(
r"\b\n", r"\b\n",
" ", " ",
r.get("https://gitlab.com/simple-stock-bots/simple-discord-stock-bot/-/raw/master/LICENSE").text, r.get("https://gitlab.com/simple-stock-bots/simple-stock-bot/-/raw/master/LICENSE").text,
) )
help_text = """ help_text = """
Thanks for using this bot. If you like it, [support me with a beer](https://www.buymeacoffee.com/Anson). 🍻 Thanks for using this bot. If you like it, [support me with a beer](https://www.buymeacoffee.com/Anson). 🍻
For stock data or hosting your own bot, use my link. This helps keep the bot free: For stock data or hosting your own bot, use my link. This helps keep the bot free:
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord). [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
**Updates**: Join the bot's discord: https://t.me/simplestockbotnews. **Updates**: Join the bot's discord: https://t.me/simplestockbotnews.
**Documentation**: All details about the bot are at [docs](https://docs.simplestockbot.com). **Documentation**: All details about the bot are at [docs](https://simplestockbot.com).
The bot reads _"Symbols"_. Use `$` for stock tickers and `$$` for cryptocurrencies. For example: The bot reads _"Symbols"_. Use `$` for stock tickers and `$$` for cryptocurrencies. For example:
- `/chart $$eth` gives Ethereum's monthly chart. - `/chart $$eth` gives Ethereum's monthly chart.
- `/dividend $psec` shows Prospect Capital's dividend. - `/dividend $psec` shows Prospect Capital's dividend.
Type any symbol, and the bot shows its price. Like: `Is $$btc rising since $tsla accepts it?` will give Bitcoin and Tesla prices. Type any symbol, and the bot shows its price. Like: `Is $$btc rising since $tsla accepts it?` will give Bitcoin and Tesla prices.
**Commands** **Commands**
- `/donate [USD amount]`: Support the bot. 🎗️ - `/donate [USD amount]`: Support the bot. 🎗️
- `/intra $[symbol]`: See stock's latest movement. 📈 - `/intra $[symbol]`: See stock's latest movement. 📈
- `/chart $[symbol]`: View a month's stock activity. 📊 - `/chart $[symbol]`: View a month's stock activity. 📊
- `/trending`: Check trending stocks and cryptos. 💬 - `/trending`: Check trending stocks and cryptos. 💬
- `/help`: Need help? Ask here. 🆘 - `/help`: Need help? Ask here. 🆘
**Inline Features** **Inline Features**
Type @SimpleStockBot `[search]` anywhere to find and get stock/crypto prices. Note: Prices might be delayed up to an hour. Type @SimpleStockBot `[search]` anywhere to find and get stock/crypto prices. Note: Prices might be delayed up to an hour.
Data from: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord). Data from: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
Issues with the bot? Use `/status` or [contact us](https://docs.simplestockbot.com/contact). Issues with the bot? Use `/status` or [contact us](https://simplestockbot.com/contact).
""" """
donate_text = """ donate_text = """
Simple Stock Bot runs purely on [donations.](https://www.buymeacoffee.com/Anson) Simple Stock Bot runs purely on [donations.](https://www.buymeacoffee.com/Anson)
Every donation supports server costs and Every donation supports server costs and
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) provides our data. [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) provides our data.
**How to Donate?** **How to Donate?**
1. Use `/donate [amount in USD]` command. 1. Use `/donate [amount in USD]` command.
- E.g., `/donate 2` donates 2 USD. - E.g., `/donate 2` donates 2 USD.
2. Or, donate at [buymeacoffee](https://www.buymeacoffee.com/Anson). 2. Or, donate at [buymeacoffee](https://www.buymeacoffee.com/Anson).
- It's quick, doesn't need an account, and accepts Paypal or Credit card. - It's quick, doesn't need an account, and accepts Paypal or Credit card.
Questions? Visit our [website](https://docs.simplestockbot.com). Questions? Visit our [website](https://simplestockbot.com).
""" """
+256 -202
View File
@@ -1,202 +1,256 @@
import datetime import datetime
import io import io
import logging import logging
import os import os
import mplfinance as mpf import mplfinance as mpf
import nextcord import nextcord
from nextcord.ext import commands from D_info import D_info
from nextcord.ext import commands
from D_info import D_info
from common.symbol_router import Router from common.symbol_router import Router
DISCORD_TOKEN = os.environ["DISCORD"] DISCORD_TOKEN = os.environ["DISCORD"]
s = Router() s = Router()
d = D_info() d = D_info()
intents = nextcord.Intents.default() intents = nextcord.Intents.default()
client = nextcord.Client(intents=intents) client = nextcord.Client(intents=intents)
bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents) bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents)
logger = logging.getLogger("nextcord") logger = logging.getLogger("nextcord")
logger.setLevel(logging.INFO) logger.setLevel(logging.INFO)
handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w") handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w")
handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s")) handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s"))
logger.addHandler(handler) logger.addHandler(handler)
@bot.event @bot.event
async def on_ready(): async def on_ready():
logging.info("Starting Simple Stock Bot") logging.info("Starting Simple Stock Bot")
logging.info(f"Logged in as {bot.user.name} {bot.user.id}") logging.info(f"Logged in as {bot.user.name} {bot.user.id}")
@bot.command() @bot.command()
async def status(ctx: commands): async def status(ctx: commands):
"""Debug command for diagnosing if the bot is experiencing any issues.""" """Debug command for diagnosing if the bot is experiencing any issues."""
logging.warning(f"Status command ran by {ctx.message.author}") logging.info(f"Status command ran by {ctx.message.author}")
message = "" message = ""
try: try:
message = "Contact MisterBiggs#0465 if you need help.\n" message = "Contact MisterBiggs#0465 if you need help.\n"
message += s.status(f"Bot recieved your message in: {bot.latency*10:.4f} seconds") + "\n" message += s.status(f"Bot recieved your message in: {bot.latency*10:.4f} seconds") + "\n"
except Exception as ex: except Exception as ex:
logging.critical(ex) logging.critical(ex)
message += ( message += (
f"*\n\nERROR ENCOUNTERED:*\n{ex}\n\n" f"*\n\nERROR ENCOUNTERED:*\n{ex}\n\n"
+ "*The bot encountered an error while attempting to find errors. Please contact the bot admin.*" + "*The bot encountered an error while attempting to find errors. Please contact the bot admin.*"
) )
await ctx.send(message) await ctx.send(message)
@bot.command() @bot.command()
async def license(ctx: commands): async def license(ctx: commands):
"""Returns the bots license agreement.""" """Returns the bots license agreement."""
await ctx.send(d.license) await ctx.send(d.license)
@bot.command() @bot.command()
async def donate(ctx: commands): async def donate(ctx: commands):
"""Details on how to support the development and hosting of the bot.""" """Details on how to support the development and hosting of the bot."""
await ctx.send(d.donate_text) await ctx.send(d.donate_text)
@bot.command() @bot.command()
async def search(ctx: commands, *, query: str): async def search(ctx: commands, *, query: str):
"""Search for a stock symbol using either symbol of company name.""" """Search for a stock symbol using either symbol of company name."""
results = s.search_symbols(query) results = s.search_symbols(query)
if results: if results:
reply = "*Search Results:*\n`$ticker: Company Name`\n" reply = "*Search Results:*\n`$ticker: Company Name`\n"
for query in results: for query in results:
reply += "`" + query[1] + "`\n" reply += "`" + query[1] + "`\n"
await ctx.send(reply) await ctx.send(reply)
@bot.command() @bot.command()
async def crypto(ctx: commands, _: str): async def crypto(ctx: commands, _: str):
"""Get the price of a cryptocurrency using in USD.""" """Get the price of a cryptocurrency using in USD."""
await ctx.send("Crypto now has native support. Any crypto can be called using two dollar signs: `$$eth` `$$btc` `$$doge`") await ctx.send("Crypto now has native support. Any crypto can be called using two dollar signs: `$$eth` `$$btc` `$$doge`")
@bot.command() @bot.command()
async def intra(ctx: commands, sym: str): async def intra(ctx: commands, sym: str):
"""Get a chart for the stocks movement since market open.""" """Get a chart for the stocks movement since market open."""
symbols = s.find_symbols(sym) symbols = s.find_symbols(sym)
if len(symbols): if len(symbols):
symbol = symbols[0] symbol = symbols[0]
else: else:
await ctx.send("No symbols or coins found.") await ctx.send("No symbols or coins found.")
return return
df = s.intra_reply(symbol) df = s.intra_reply(symbol)
if df.empty: if df.empty:
await ctx.send("Invalid symbol please see `/help` for usage details.") await ctx.send("Invalid symbol please see `/help` for usage details.")
return return
with ctx.channel.typing(): with ctx.channel.typing():
buf = io.BytesIO() buf = io.BytesIO()
mpf.plot( mpf.plot(
df, df,
type="renko", type="renko",
title=f"\n{symbol.name}", title=f"\n{symbol.name}",
volume="volume" in df.keys(), volume="volume" in df.keys(),
style="yahoo", style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
) )
buf.seek(0) buf.seek(0)
# Get price so theres no request lag after the image is sent # Get price so theres no request lag after the image is sent
price_reply = s.price_reply([symbol])[0] price_reply = s.price_reply([symbol])[0]
await ctx.send( await ctx.send(
file=nextcord.File( file=nextcord.File(
buf, buf,
filename=f"{symbol.name}:intra{datetime.date.today().strftime('%S%M%d%b%Y')}.png", filename=f"{symbol.name}:intra{datetime.date.today().strftime('%S%M%d%b%Y')}.png",
), ),
content=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to" content=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to"
+ f" {df.last_valid_index().strftime('%d %b at %H:%M')}", + f" {df.last_valid_index().strftime('%d %b at %H:%M')}",
) )
await ctx.send(price_reply) await ctx.send(price_reply)
@bot.command() @bot.command()
async def chart(ctx: commands, sym: str): async def chart(ctx: commands, sym: str):
"""returns a chart of the past month of data for a symbol""" """returns a chart of the past month of data for a symbol"""
symbols = s.find_symbols(sym) symbols = s.find_symbols(sym)
if len(symbols): if len(symbols):
symbol = symbols[0] symbol = symbols[0]
else: else:
await ctx.send("No symbols or coins found.") await ctx.send("No symbols or coins found.")
return return
df = s.chart_reply(symbol) df = s.chart_reply(symbol)
if df.empty: if df.empty:
await ctx.send("Invalid symbol please see `/help` for usage details.") await ctx.send("Invalid symbol please see `/help` for usage details.")
return return
with ctx.channel.typing(): with ctx.channel.typing():
buf = io.BytesIO() buf = io.BytesIO()
mpf.plot( mpf.plot(
df, df,
type="candle", type="candle",
title=f"\n{symbol.name}", title=f"\n{symbol.name}",
volume="volume" in df.keys(), volume="volume" in df.keys(),
style="yahoo", style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
) )
buf.seek(0) buf.seek(0)
# Get price so theres no request lag after the image is sent # Get price so theres no request lag after the image is sent
price_reply = s.price_reply([symbol])[0] price_reply = s.price_reply([symbol])[0]
await ctx.send( await ctx.send(
file=nextcord.File( file=nextcord.File(
buf, buf,
filename=f"{symbol.name}:1M{datetime.date.today().strftime('%d%b%Y')}.png", filename=f"{symbol.name}:1M{datetime.date.today().strftime('%d%b%Y')}.png",
), ),
content=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}" content=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}"
+ f" to {df.last_valid_index().strftime('%d, %b %Y')}", + f" to {df.last_valid_index().strftime('%d, %b %Y')}",
) )
await ctx.send(price_reply) await ctx.send(price_reply)
@bot.command() @bot.command()
async def cap(ctx: commands, sym: str): async def cap(ctx: commands, sym: str):
"""Get the market cap of a symbol""" """Get the market cap of a symbol"""
symbols = s.find_symbols(sym) symbols = s.find_symbols(sym)
if symbols: if symbols:
with ctx.channel.typing(): with ctx.channel.typing():
for reply in s.cap_reply(symbols): for reply in s.cap_reply(symbols):
await ctx.send(reply) await ctx.send(reply)
@bot.command() @bot.command()
async def trending(ctx: commands): async def trending(ctx: commands):
"""Get a list of Trending Stocks and Coins""" """Get a list of Trending Stocks and Coins"""
with ctx.channel.typing(): with ctx.channel.typing():
await ctx.send(s.trending()) await ctx.send(s.trending())
@bot.event @bot.event
async def on_message(message): async def on_message(message):
if message.author.id == bot.user.id: # Ignore messages from the bot itself
return if message.author.id == bot.user.id:
if message.content: return
if message.content[0] == "/":
await bot.process_commands(message) content_lower = message.content.lower()
return
# Process commands starting with "/"
if "$" in message.content: if message.content.startswith("/"):
symbols = s.find_symbols(message.content) await bot.process_commands(message)
return
if symbols:
for reply in s.price_reply(symbols): symbols = None
await message.channel.send(reply) if "$" in message.content:
return symbols = s.find_symbols(message.content)
if "call" in content_lower or "put" in content_lower:
bot.run(DISCORD_TOKEN) await handle_options(message, symbols)
return
if symbols:
for reply in s.price_reply(symbols):
await message.channel.send(reply)
return
async def handle_options(message, symbols):
logging.info("Options detected")
try:
options_data = s.options(message.content.lower(), symbols)
# Create the embed directly within the function
embed = nextcord.Embed(title=options_data["Option Symbol"], description=options_data["Underlying"], color=0x3498DB)
# Key details
details = (
f"Expiration: {options_data['Expiration']}\n" f"Side: {options_data['side']}\n" f"Strike: {options_data['strike']}"
)
embed.add_field(name="Details", value=details, inline=False)
# Pricing info
pricing_info = (
f"Bid: {options_data['bid']} (Size: {options_data['bidSize']})\n"
f"Mid: {options_data['mid']}\n"
f"Ask: {options_data['ask']} (Size: {options_data['askSize']})\n"
f"Last: {options_data['last']}"
)
embed.add_field(name="Pricing", value=pricing_info, inline=False)
# Volume and open interest
volume_info = f"Open Interest: {options_data['Open Interest']}\n" f"Volume: {options_data['Volume']}"
embed.add_field(name="Activity", value=volume_info, inline=False)
# Greeks
greeks_info = (
f"IV: {options_data['Implied Volatility']}\n"
f"Delta: {options_data['delta']}\n"
f"Gamma: {options_data['gamma']}\n"
f"Theta: {options_data['theta']}\n"
f"Vega: {options_data['vega']}\n"
f"Rho: {options_data['rho']}"
)
embed.add_field(name="Greeks", value=greeks_info, inline=False)
# Send the created embed
await message.channel.send(embed=embed)
except KeyError as ex:
logging.warning(f"KeyError processing options for message {message.content}: {ex}")
bot.run(DISCORD_TOKEN)
+1 -1
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@@ -1,2 +1,2 @@
nextcord==2.4.2 nextcord==2.6.0
-r requirements.txt -r requirements.txt
+2 -3
View File
@@ -1,13 +1,12 @@
version: '3' version: "3"
services: services:
telegram: telegram:
build: build:
context: . context: .
dockerfile: telegram/Dockerfile dockerfile: telegram/Dockerfile
image: registry.gitlab.com/simple-stock-bots/simple-telegram-stock-bot
env_file: .env env_file: .env
discord: discord:
build: build:
context: . context: .
dockerfile: discord/Dockerfile dockerfile: discord/Dockerfile
env_file: .env env_file: .env
+27
View File
@@ -0,0 +1,27 @@
{
"name": "simple-stock-bot",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"devDependencies": {
"prettier": "3.0.3"
}
},
"node_modules/prettier": {
"version": "3.0.3",
"resolved": "https://registry.npmjs.org/prettier/-/prettier-3.0.3.tgz",
"integrity": "sha512-L/4pUDMxcNa8R/EthV08Zt42WBO4h1rarVtK0K+QJG0X187OLo7l699jWw0GKuwzkPQ//jMFA/8Xm6Fh3J/DAg==",
"dev": true,
"bin": {
"prettier": "bin/prettier.cjs"
},
"engines": {
"node": ">=14"
},
"funding": {
"url": "https://github.com/prettier/prettier?sponsor=1"
}
}
}
}
+5
View File
@@ -0,0 +1,5 @@
{
"devDependencies": {
"prettier": "3.0.3"
}
}
-9
View File
@@ -1,11 +1,2 @@
[tool.black]
line-length = 130
[tool.flake8]
max-line-length = 130
[tool.pycodestyle]
max_line_length = 130
[tool.ruff] [tool.ruff]
line-length = 130 line-length = 130
+5 -5
View File
@@ -1,7 +1,7 @@
image: python:3.11 image: python:3.11
build_site: build_mkdocs:
stage: build stage: build_site
script: script:
- cd ./site - cd ./site
- pip install -r requirements.txt - pip install -r requirements.txt
@@ -10,14 +10,14 @@ build_site:
paths: paths:
- public - public
deploy_site: pages:
stage: deploy stage: deploy
script: script:
- echo "Publishing site..." - echo "Publishing site..."
dependencies: dependencies:
- build_site - build_mkdocs
artifacts: artifacts:
paths: paths:
- public - public
rules: rules:
- if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' - if: "$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH"
+11 -11
View File
@@ -1,12 +1,12 @@
{ {
"yaml.schemas": { "yaml.schemas": {
"https://squidfunk.github.io/mkdocs-material/schema.json": "mkdocs.yml" "https://squidfunk.github.io/mkdocs-material/schema.json": "mkdocs.yml"
}, },
"yaml.customTags": [ "yaml.customTags": [
"!ENV scalar", "!ENV scalar",
"!ENV sequence", "!ENV sequence",
"tag:yaml.org,2002:python/name:materialx.emoji.to_svg", "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:materialx.emoji.twemoji",
"tag:yaml.org,2002:python/name:pymdownx.superfences.fence_code_format" "tag:yaml.org,2002:python/name:pymdownx.superfences.fence_code_format"
] ]
} }
+5 -5
View File
@@ -1,5 +1,5 @@
authors: authors:
Anson: Anson:
name: Anson Biggs name: Anson Biggs
description: Creator description: Creator
avatar: https://gitlab.com/uploads/-/system/user/avatar/1377308/avatar.png avatar: https://gitlab.com/uploads/-/system/user/avatar/1377308/avatar.png
+1 -2
View File
@@ -1,2 +1 @@
# Blog # Blog
+66 -64
View File
@@ -1,64 +1,66 @@
--- ---
title: "Introducing Simple Stock Bot: Your Chat Group's Financial Whiz" title: "Introducing Simple Stock Bot: Your Chat Group's Financial Whiz"
date: 2023-10-10 date: 2023-10-10
tags: [Simple Stock Bot, Introduction, Telegram, Discord, Financial Insights] tags: [Simple Stock Bot, Introduction, Telegram, Discord, Financial Insights]
authors: [Anson] authors: [Anson]
description: > 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! 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? ## 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. 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="phone">
<div class="messages-wrapper"> <div class="messages-wrapper">
<div class="message to"> <div class="message to">
I wonder how $tsla is affecting the price of $$btc I wonder how $tsla is affecting the price of $$btc
</div> </div>
<div class="message from"> <div class="message from">
The current stock price of Tesla Inc is $866.57, the stock is currently up 1.68% The current stock price of Tesla Inc is $866.57, the stock is currently up 1.68%
</div> </div>
<div class="message from"> <div class="message from">
The current price of Bitcoin is $34,815, the coin is currently down -0.151% for today The current price of Bitcoin is $34,815, the coin is currently down -0.151% for today
</div> </div>
</div> </div>
</div> </div>
With Simple Stock Bot, you can: <!-- more -->
- **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. With Simple Stock Bot, you can:
- **Stay Updated on Market Trends**: Discover what's buzzing in the stock and crypto spheres.
- **Fetch Real-time Quotes**: Obtain the latest stock and cryptocurrency prices instantly within your group chat.
## Add the Bot to your Group - **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.
[:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button }
## Add the Bot to your Group
[:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
[: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
## 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!
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. Here are some simple commands to get you started:
- `/chart` for a glimpse of the last month's trading data.
- `/trending` to catch up on the latest trending stocks and cryptocurrencies. - `/intra` to view intraday charts.
- `/chart` for a glimpse of the last month's trading data.
## Keeping It Free - `/trending` to catch up on the latest trending stocks and cryptocurrencies.
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. ## Keeping It Free
Feeling generous? You can support the project by [donating](https://docs.simplestockbot.com/donate/), following on [Twitter](https://twitter.com/AnsonBiggs), or contributing on [GitLab](https://gitlab.com/simple-stock-bot). 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.
## Dive Deeper 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).
Craving more insights and features? Explore the [official documentation](https://docs.simplestockbot.com/) to uncover all the capabilities of Simple Stock Bot. ## Dive Deeper
Get ready to elevate your financial discussions with Simple Stock Bot! Your group chats will never be the same again. 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! ---
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!
@@ -0,0 +1,40 @@
---
title: "v2023.1 Release! New Stock Market Data Provider and More!"
date: 2023-10-16
tags: [Simple Stock Bot, Telegram, Discord, MarketDataApp]
authors: [Anson]
description: >
Discover the latest updates for Simple Stock Bot, including our new integration with MarketData.app for enhanced real-time stock market insights.
---
## 🌐 General Updates:
- **New Home**: We've transitioned to our fresh and updated website at [simplestockbot.com](https://simplestockbot.com/).
- **New Data Provider**: We're excited to announce [MarketData.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web) as our new provider for real-time stock market data, ensuring timely and accurate insights for our users.
<!-- more -->
## 📈 MarketData.app Integration Enhancements:
- We've introduced **additional options** to our MarketData.app integration, ensuring even more precise and varied financial data.
- **Afterhours Data Fix**: Addressed an issue where after hours stock market data caused errors.
- **Trending Symbol Accuracy**: Fixed a bug that led to the display of invalid symbols in the `/trending` command.
## 🤖 Bot Improvements & Fixes:
- **Unified Repository**: To streamline our development and deployment, we've merged the Discord and Telegram bots into a single monorepo. Check it out on [GitLab](https://gitlab.com/simple-stock-bots/simple-stock-bot). Contributions welcome!
- **Inline Functionality Restoration**: Fixed the telegram bot's inline functionality.
- **Python Telegram Bot Update**: Migrated to the latest version of `Python Telegram Bot` for superior performance and more features.
- **Rate Limiting Addition**: Implemented rate limiting to ensure optimal performance during peak usage times.
- **SO MUCH MORE**: [Move to Marketdata.app GitLab Issues](https://gitlab.com/simple-stock-bots/simple-stock-bot/-/milestones/3)
## 📝 Documentation & Repository Overhauls:
- **Centralized Documentation**: For convenience and improved maintenance, we've shifted our documentation into the monorepo.
- **Documentation Refinement**: Updated our documentation to reflect the latest homepage details.
**Special Mention**: Immense gratitude to our dedicated community for their continual feedback and unwavering support. Dive deeper into the financial realm with Simple Stock Bot!
---
📥 For any concerns, queries, or feedback, don't hesitate to [Contact Us](../../contact.md).
+14
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@@ -0,0 +1,14 @@
---
title: "Simple Bot End-of-Life"
date: 2024-05-12
tags: [Simple Stock Bot, Introduction, Telegram, Discord, Financial Insights]
authors: [Anson]
description: >
Simple Stock Bot is being sunset.
---
## What is Simple Stock Bot?
For full details see my full blog post: [https://notes.ansonbiggs.com/simple-stock-bot-end-of-life/](https://notes.ansonbiggs.com/simple-stock-bot-end-of-life/)
I am shutting down Simple Stock Bot, a popular Telegram and Discord bot that provided live stock and cryptocurrency market data. The bot was created in 2018 after my group chat lost access to the Google Allo, which had integrated market data. The bot grew to 15,000 monthly active users, but maintaining the service has become challenging due to increasing data costs and changes to the Discord API. I really appreciate the community and everyone that has donated along the way, this has been a seriously great ride. The bot will soon no longer function on Telegram and Discord.
+14 -6
View File
@@ -5,13 +5,12 @@ Symbols are used in headings to denote what platforms and symbol types a command
- Bot Commands :robot: - Bot Commands :robot:
- Cryptocurrency Support :material-currency-btc: - Cryptocurrency Support :material-currency-btc:
- Stock Market Support :bank: - Stock Market Support :bank:
- OTC Support :dollar:
## Get the Bots ## 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 } [:fontawesome-brands-telegram: Telegram](https://t.me/SimpleStockBot){ .md-button } [:fontawesome-brands-discord: Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button }
## Symbol Detection :material-currency-btc: :bank: :dollar: ## Symbol Detection :material-currency-btc: :bank:
The Simple Stock Bot looks at every message it can see and tries to detect stock and cryptocurrency symbols. Stock market tickers are denoted with a single `$` and cryptocurrency coins are denoted with a double `$$`. So getting the price of Tesla is as simple as `$tsla` and Bitcoin `$$btc`. These symbols can be in any part of a message and there can be multiple of them aswell. The Simple Stock Bot looks at every message it can see and tries to detect stock and cryptocurrency symbols. Stock market tickers are denoted with a single `$` and cryptocurrency coins are denoted with a double `$$`. So getting the price of Tesla is as simple as `$tsla` and Bitcoin `$$btc`. These symbols can be in any part of a message and there can be multiple of them aswell.
@@ -29,7 +28,13 @@ The Simple Stock Bot looks at every message it can see and tries to detect stock
</div> </div>
</div> </div>
## `/donate [Amount in USD]` :fontawesome-brands-telegram-plane: ## 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. 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.
@@ -83,7 +88,7 @@ This command makes a chart of the last 1 month of trading data up until the day
</div> </div>
## `/trending` ## `/trending`
Gets the latest trending stocks and their change in price Gets the latest trending stocks and their change in price
@@ -98,7 +103,9 @@ Gets the latest trending stocks and their change in price
━━━━━━━━━━━━━━━━━━━━━━━━━━ ━━━━━━━━━━━━━━━━━━━━━━━━━━
$GME: Gamestop Corporation - Class A, 5.06% $GME: Gamestop Corporation - Class A, 5.06%
$MMAT: Meta Materials Inc, 4.77% $MMAT: Meta Materials Inc, 4.77%
$$BTC: Bitcoin, -0.83%
$$
BTC: Bitcoin, -0.83%
$$ETH: Ethereum, 6.06% $$ETH: Ethereum, 6.06%
$$DOGE: Binance-Peg Dogecoin, 0.14% $$DOGE: Binance-Peg Dogecoin, 0.14%
@@ -171,10 +178,11 @@ Bot Status:
</div> </div>
## Inline Features :fontawesome-brands-telegram: :material-currency-btc: :bank: :dollar: ## 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 You can type @SimpleStockBot `[search]` in any chat or direct message to search for the stock bots
full list of stock symbols and return the price of the ticker. Then once you select the ticker full list of stock symbols and return the price of the ticker. Then once you select the ticker
want the bot will send a message as you in that chat with the latest stock price. want the bot will send a message as you in that chat with the latest stock price.
The bot also looks at every message in any chat it is in for stock symbols.Symbols start with a The bot also looks at every message in any chat it is in for stock symbols.Symbols start with a
`$` followed by the stock symbol. For example:$tsla would return price information for Tesla Motors. `$` followed by the stock symbol. For example:$tsla would return price information for Tesla Motors.
$$
+1 -1
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@@ -5,4 +5,4 @@ Your feedback and experience with Simple Stock Bot is invaluable. Whether you've
- **Telegram**: Drop me a message on [Telegram](https://t.me/MisterBiggs). - **Telegram**: Drop me a message on [Telegram](https://t.me/MisterBiggs).
- **Discord**: Feel free to reach out on Discord at `MisterBiggs#0465`. - **Discord**: Feel free to reach out on Discord at `MisterBiggs#0465`.
- **Twitter**: Send me a tweet on [Twitter](https://twitter.com/AnsonBiggs). - **Twitter**: Send me a tweet on [Twitter](https://twitter.com/AnsonBiggs).
- **GitLab**: For technical issues or feature requests, feel free to open an issue on our [GitLab Repository](https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot). - **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).
+18 -15
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@@ -25,27 +25,30 @@ To enable donation acceptance, obtain a Stripe API key and provide a `STRIPE` ke
## Setup Instructions ## Setup Instructions
1. **Download/Clone the Repository**: 1. **Download/Clone the Repository**:
- Download or clone this repository to your local machine.
- Download or clone this repository to your local machine.
2. **Configure Environment Variables**: 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 - Navigate to the project directory and locate the `.env` file.
MARKETDATA=your_marketdata_api_key - Fill in the `.env` file with your obtained API keys:
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. ```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:** 3. **Build and Run the Bot:**
- Open a terminal in the project directory.
- Build and run both bots using Docker Compose:
```bash - Open a terminal in the project directory.
docker-compose up - 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. 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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@@ -9,25 +9,31 @@ Discover a new level of financial discussion with Simple Stock Bot, your go-to s
## [Commands](commands.md) ## [Commands](commands.md)
### Real-Time Stock and Cryptocurrency Updates ### Real-Time Stock and Cryptocurrency Updates
- Get live price updates of stocks and cryptocurrencies. - Get live price updates of stocks and cryptocurrencies.
- Symbol Detection: Use `$` for stocks and `$$` for cryptocurrencies, e.g., `$tsla` for Tesla and `$$btc` for Bitcoin. - Symbol Detection: Use `$` for stocks and `$$` for cryptocurrencies, e.g., `$tsla` for Tesla and `$$btc` for Bitcoin.
### Intraday and Historical Data Visualization ### Intraday and Historical Data Visualization
- `/intra`: View a stock's movement since the last market open or a cryptocurrency's 24-hour chart. - `/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. - `/chart`: Provides a chart of the last month's trading data up till the day before.
### Trending Assets Awareness ### Trending Assets Awareness
- `/trending`: Discover the latest trending stocks and cryptocurrencies and their price changes. - `/trending`: Discover the latest trending stocks and cryptocurrencies and their price changes.
### In-App Assistance and Support ### In-App Assistance and Support
- `/help`: Provides a quick summary of available commands for easy reference. - `/help`: Provides a quick summary of available commands for easy reference.
- `/donate`: Support the maintenance of the bot to ensure continued free access. - `/donate`: Support the maintenance of the bot to ensure continued free access.
### User-Friendly Interaction ### User-Friendly Interaction
- Easy symbol and command usage for a smooth user experience. - Easy symbol and command usage for a smooth user experience.
- Engage with a community of financial enthusiasts and share insights effortlessly. - Engage with a community of financial enthusiasts and share insights effortlessly.
## [Contact](contact.md) ## [Contact](contact.md)
Need assistance or have inquiries? Feel free to reach out and I'll be happy to help. Need assistance or have inquiries? Feel free to reach out and I'll be happy to help.
## Powered by MarketData.app ## Powered by MarketData.app
+6 -12
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@@ -1,24 +1,23 @@
site_name: Simple Stock Bot site_name: Simple Stock Bot
site_url: https://simplestockbot.com site_url: https://simplestockbot.com
edit_uri: /simple-stock-bots/site/tree/master/site repo_url: https://gitlab.com/simple-stock-bots/simple-stock-bot
repo_url: https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot
repo_name: Simple Stock Bots repo_name: Simple Stock Bots
site_description: Simple Discord and Telegram chat bots for Stock Market Data. site_description: Simple Discord and Telegram chat bots for Stock Market Data.
site_author: Anson Biggs site_author: Anson Biggs
copyright: <a href="https://ansonbiggs.com">Anson Biggs</a> 2018 </br> Available Under an <a href="/LICENSE/">MIT LICENSE</a> </br> copyright: <a href="https://ansonbiggs.com">Anson Biggs</a> 2018 </br> Available Under an <a href="/LICENSE/">MIT LICENSE</a> </br>
nav: nav:
- Home: index.md - Home: index.md
- Commands: commands.md - Commands: commands.md
- Self-Host: host.md - Self-Host: host.md
- Donate: donate.md # - Donate: donate.md
- Contact: contact.md - Contact: contact.md
- Blog: /blog - Blog: blog/index.md
theme: theme:
name: material name: material
custom_dir: overrides
language: en language: en
features: features:
- navigation.instant - navigation.instant
@@ -56,24 +55,19 @@ extra:
link: https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web link: https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=web
name: MarketData.app for stock data name: MarketData.app for stock data
extra_css: extra_css:
- stylesheets/phone.css - stylesheets/phone.css
plugins: plugins:
- search - search
- social - social
- blog - blog
markdown_extensions: markdown_extensions:
- attr_list - attr_list
- pymdownx.emoji: - pymdownx.emoji:
emoji_index: !!python/name:materialx.emoji.twemoji emoji_index: !!python/name:material.extensions.emoji.twemoji
emoji_generator: !!python/name:materialx.emoji.to_svg emoji_generator: !!python/name:material.extensions.emoji.to_svg
- admonition - admonition
- pymdownx.details - pymdownx.details
- pymdownx.superfences - pymdownx.superfences
+17
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@@ -0,0 +1,17 @@
{% extends "base.html" %}
<!-- Announcement bar -->
{% block announce %}
<div class="admonition danger" style="min-height: 20vh;">
<p class="admonition-title">This project is now archived!</p>
<p>
Please
<a href="/blog/2024/05/12/simple-bot-end-of-life/"
>click here for more information.</a
>
</p>
</div>
<div class="" admoniton></div>
{% endblock %}
+2 -1
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@@ -1,4 +1,5 @@
mkdocs-material==9.4.4 mkdocs-material==9.5.22
mkdocs-material-extensions==1.3.1
# Required for Social Cards # Required for Social Cards
Pillow==10.0.1 Pillow==10.0.1
+70 -70
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@@ -1,70 +1,70 @@
"""Functions and Info specific to the Telegram Bot """Functions and Info specific to the Telegram Bot
""" """
import re import re
import requests as r import requests as r
class T_info: class T_info:
license = re.sub( license = re.sub(
r"\b\n", r"\b\n",
" ", " ",
r.get("https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot/-/raw/master/LICENSE").text, r.get("https://gitlab.com/simple-stock-bots/simple-stock-bot/-/raw/master/LICENSE").text,
) )
help_text = """ help_text = """
Appreciate this bot? Show support by [buying me a beer](https://www.buymeacoffee.com/Anson) 🍻. Appreciate this bot? Show support by [buying me a beer](https://www.buymeacoffee.com/Anson) 🍻.
Want stock data or to host your own bot? Help keep this bot free by using my Want stock data or to host your own bot? Help keep this bot free by using my
[affiliate link](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram). [affiliate link](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
📢 Stay updated on the bot's Telegram: https://t.me/simplestockbotnews. 📢 Stay updated on the bot's Telegram: https://t.me/simplestockbotnews.
**Guide**: All about using and setting up the bot is in the [docs](https://docs.simplestockbot.com). **Guide**: All about using and setting up the bot is in the [docs](https://simplestockbot.com).
The bot recognizes _"Symbols"_. `$` for stocks and `$$` for cryptos. Example: The bot recognizes _"Symbols"_. `$` for stocks and `$$` for cryptos. Example:
- `/chart $$eth` gets a month's Ethereum chart. - `/chart $$eth` gets a month's Ethereum chart.
- `/dividend $psec` shows Prospect Capital's dividend info. - `/dividend $psec` shows Prospect Capital's dividend info.
Mention a symbol, and the bot reveals its price. Mention a symbol, and the bot reveals its price.
E.g., `What's $$btc's price since $tsla accepts it?` gives Bitcoin and Tesla prices. E.g., `What's $$btc's price since $tsla accepts it?` gives Bitcoin and Tesla prices.
**Commands** **Commands**
- `/donate [USD]`: Support the bot. 🎗️ - `/donate [USD]`: Support the bot. 🎗️
- `/intra $[symbol]`: Today's stock activity. 📈 - `/intra $[symbol]`: Today's stock activity. 📈
- `/chart $[symbol]`: Past month's stock chart. 📊 - `/chart $[symbol]`: Past month's stock chart. 📊
- `/trending`: What's hot in stocks and cryptos. 💬 - `/trending`: What's hot in stocks and cryptos. 💬
- `/help`: Bot assistance. 🆘 - `/help`: Bot assistance. 🆘
**Inline Features** **Inline Features**
Search with @SimpleStockBot `[query]` anywhere. Search with @SimpleStockBot `[query]` anywhere.
Pick a ticker, and the bot shares the current price in chat. Note: Prices can lag by an hour. Pick a ticker, and the bot shares the current price in chat. Note: Prices can lag by an hour.
Data thanks to [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram). Data thanks to [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
Bot issues? Use `/status` or [contact us](https://docs.simplestockbot.com/contact). Bot issues? Use `/status` or [contact us](https://simplestockbot.com/contact).
""" """
donate_text = """ donate_text = """
Support Simple Stock Bot through [donations](https://www.buymeacoffee.com/Anson). Support Simple Stock Bot through [donations](https://www.buymeacoffee.com/Anson).
All funds help maintain servers, with data from All funds help maintain servers, with data from
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram). [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
**How to Donate?** **How to Donate?**
1. Use `/donate [amount in USD]`. E.g., `/donate 2` donates 2 USD. 1. Use `/donate [amount in USD]`. E.g., `/donate 2` donates 2 USD.
2. Or, quickly donate at [buymeacoffee](https://www.buymeacoffee.com/Anson). No account needed, accepts Paypal & Credit card. 2. Or, quickly donate at [buymeacoffee](https://www.buymeacoffee.com/Anson). No account needed, accepts Paypal & Credit card.
For questions, visit our [website](https://docs.simplestockbot.com). For questions, visit our [website](https://simplestockbot.com).
""" """
# Not used by the bot but for updating commands with BotFather # Not used by the bot but for updating commands with BotFather
commands = """ commands = """
donate - Donate to the bot 🎗️ donate - Donate to the bot 🎗️
help - Get some help using the bot. 🆘 help - Get some help using the bot. 🆘
trending - Trending Stocks and Cryptos. 💬 trending - Trending Stocks and Cryptos. 💬
intra - $[symbol] Plot since the last market open. 📈 intra - $[symbol] Plot since the last market open. 📈
chart - $[chart] Plot of the past month. 📊 chart - $[chart] Plot of the past month. 📊
""" """
+508 -457
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@@ -1,457 +1,508 @@
# Works with Python 3.8 # Works with Python 3.8
import datetime import datetime
import html import html
import io import io
import json import json
import logging import logging
import os import os
import random import random
import string import string
import traceback import traceback
from uuid import uuid4 from uuid import uuid4
import mplfinance as mpf import mplfinance as mpf
import telegram from T_info import T_info
from telegram import (
InlineQueryResultArticle, import telegram
InputTextMessageContent, from common.symbol_router import Router
LabeledPrice, from telegram import InlineQueryResultArticle, InputTextMessageContent, LabeledPrice, Update
Update, from telegram.ext import (
) Application,
CommandHandler,
from telegram.ext import ( ContextTypes,
Application, InlineQueryHandler,
CommandHandler, MessageHandler,
InlineQueryHandler, PreCheckoutQueryHandler,
PreCheckoutQueryHandler, filters,
MessageHandler, )
filters,
ContextTypes, # 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)
TELEGRAM_TOKEN = os.environ["TELEGRAM"]
# set higher logging level for httpx to avoid all GET and POST requests being logged
logging.getLogger("httpx").setLevel(logging.WARNING) try:
STRIPE_TOKEN = os.environ["STRIPE"]
log = logging.getLogger(__name__) except KeyError:
STRIPE_TOKEN = ""
TELEGRAM_TOKEN = os.environ["TELEGRAM"] log.warning("Starting without a STRIPE Token will not allow you to accept Donations!")
try: s = Router()
STRIPE_TOKEN = os.environ["STRIPE"] t = T_info()
except KeyError:
STRIPE_TOKEN = ""
log.warning("Starting without a STRIPE Token will not allow you to accept Donations!") log.info("Bot script started.")
s = Router()
t = T_info() async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Send help text when the command /start is issued."""
log.info(f"Start command ran by {update.message.chat.username}")
log.info("Bot script started.") await update.message.reply_text(
text=t.help_text,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
async def start(update: Update, context: ContextTypes.DEFAULT_TYPE): disable_notification=True,
"""Send help text when the command /start is issued.""" )
log.info(f"Start command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.help_text, async def help(update: Update, context: ContextTypes.DEFAULT_TYPE):
parse_mode=telegram.constants.ParseMode.MARKDOWN, """Send help text when the command /help is issued."""
disable_notification=True, log.info(f"Help command ran by {update.message.chat.username}")
) await update.message.reply_text(
text=t.help_text,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
async def help(update: Update, context: ContextTypes.DEFAULT_TYPE): disable_notification=True,
"""Send help text when the command /help is issued.""" )
log.info(f"Help command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.help_text, async def license(update: Update, context: ContextTypes.DEFAULT_TYPE):
parse_mode=telegram.constants.ParseMode.MARKDOWN, """Send bots license when the /license command is issued."""
disable_notification=True, log.info(f"License command ran by {update.message.chat.username}")
) await update.message.reply_text(
text=t.license,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
async def license(update: Update, context: ContextTypes.DEFAULT_TYPE): disable_notification=True,
"""Send bots license when the /license command is issued.""" )
log.info(f"License command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.license, async def status(update: Update, context: ContextTypes.DEFAULT_TYPE):
parse_mode=telegram.constants.ParseMode.MARKDOWN, """Gather status of bot and dependant services and return important status updates."""
disable_notification=True, log.warning(f"Status command ran by {update.message.chat.username}")
) bot_resp_time = datetime.datetime.now(update.message.date.tzinfo) - update.message.date
bot_status = s.status(f"It took {bot_resp_time.total_seconds()} seconds for the bot to get your message.")
async def status(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Gather status of bot and dependant services and return important status updates.""" await update.message.reply_text(
log.warning(f"Status command ran by {update.message.chat.username}") text=bot_status,
bot_resp_time = datetime.datetime.now(update.message.date.tzinfo) - update.message.date parse_mode=telegram.constants.ParseMode.MARKDOWN,
)
bot_status = s.status(f"It took {bot_resp_time.total_seconds()} seconds for the bot to get your message.")
await update.message.reply_text( async def donate(update: Update, context: ContextTypes.DEFAULT_TYPE):
text=bot_status, """Sets up donation."""
parse_mode=telegram.constants.ParseMode.MARKDOWN, log.info(f"Donate command ran by {update.message.chat.username}")
) chat_id = update.message.chat_id
if update.message.text.strip() == "/donate" or "/donate@" in update.message.text:
async def donate(update: Update, context: ContextTypes.DEFAULT_TYPE): await update.message.reply_text(
"""Sets up donation.""" text=t.donate_text,
log.info(f"Donate command ran by {update.message.chat.username}") parse_mode=telegram.constants.ParseMode.MARKDOWN,
chat_id = update.message.chat_id disable_notification=True,
)
if update.message.text.strip() == "/donate" or "/donate@" in update.message.text: amount = 1.0
await update.message.reply_text( else:
text=t.donate_text, amount = float(update.message.text.replace("/donate", "").replace("$", "").strip())
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True, try:
) price = int(amount * 100)
amount = 1.0 except ValueError:
else: await update.message.reply_text(f"{amount} is not a valid donation amount or number.")
amount = float(update.message.text.replace("/donate", "").replace("$", "").strip()) return
log.info(f"Donation amount: {price} by {update.message.chat.username}")
try:
price = int(amount * 100) await context.bot.send_invoice(
except ValueError: chat_id=chat_id,
await update.message.reply_text(f"{amount} is not a valid donation amount or number.") title="Simple Stock Bot Donation",
return description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}",
log.info(f"Donation amount: {price} by {update.message.chat.username}") payload=f"simple-stock-bot-{chat_id}",
provider_token=STRIPE_TOKEN,
await context.bot.send_invoice( currency="USD",
chat_id=chat_id, prices=[LabeledPrice("Donation:", price)],
title="Simple Stock Bot Donation", start_parameter="",
description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}", # suggested_tip_amounts=[100, 500, 1000, 2000],
payload=f"simple-stock-bot-{chat_id}", photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png",
provider_token=STRIPE_TOKEN, photo_width=500,
currency="USD", photo_height=500,
prices=[LabeledPrice("Donation:", price)], )
start_parameter="",
# suggested_tip_amounts=[100, 500, 1000, 2000],
photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png", async def precheckout_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
photo_width=500, """Approves donation"""
photo_height=500, log.info("precheckout_callback queried")
) query = update.pre_checkout_query
await query.answer(ok=True)
async def precheckout_callback(update: Update, context: ContextTypes.DEFAULT_TYPE): # I dont think I need to check since its only donations.
"""Approves donation""" # if query.invoice_payload == "simple-stock-bot":
log.info("precheckout_callback queried") # # answer False pre_checkout_query
query = update.pre_checkout_query # await query.answer(ok=True)
# else:
await query.answer(ok=True) # await query.answer(ok=False, error_message="Something went wrong...")
# I dont think I need to check since its only donations.
# if query.invoice_payload == "simple-stock-bot":
# # answer False pre_checkout_query async def successful_payment_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
# await query.answer(ok=True) """Thanks user for donation"""
# else: log.info("Successful payment!")
# await query.answer(ok=False, error_message="Something went wrong...") await update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!")
async def successful_payment_callback(update: Update, context: ContextTypes.DEFAULT_TYPE): async def symbol_detect_image(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Thanks user for donation""" """
log.info("Successful payment!") Makes image captions into text then passes the `update` and `context`
await update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!") to symbol detect so that it can reply cashtags in image captions.
"""
try:
async def symbol_detect_image(update: Update, context: ContextTypes.DEFAULT_TYPE): if update.message.caption:
""" update.message.text = update.message.caption
Makes image captions into text then passes the `update` and `context` await symbol_detect(update, context)
to symbol detect so that it can reply cashtags in image captions. except AttributeError:
""" return
try:
if update.message.caption:
update.message.text = update.message.caption async def symbol_detect(update: Update, context: ContextTypes.DEFAULT_TYPE):
await symbol_detect(update, context) """
except AttributeError: Runs on any message that doesn't have a command and searches for cashtags,
return then returns the prices of any symbols found.
"""
try:
async def symbol_detect(update: Update, context: ContextTypes.DEFAULT_TYPE): message = update.message.text
""" chat_id = update.message.chat_id
Runs on any message that doesn't have a command and searches for cashtags, if "$" in message:
then returns the prices of any symbols found. log.info("Looking for Symbols")
""" symbols = s.find_symbols(message)
try: else:
message = update.message.text return
chat_id = update.message.chat_id except AttributeError as ex:
if "$" in message: log.info(ex)
symbols = s.find_symbols(message) return
log.info("Looking for Symbols")
else: # Detect Options
return if ("call" in message.lower()) or ("put" in message.lower()):
except AttributeError as ex: log.info("Options detected")
log.info(ex) await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
return try:
if symbols: options_data = s.options(message, symbols)
# Let user know bot is working
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING) await update.message.reply_text(
log.info(f"Symbols found: {symbols}") text=generate_options_reply(options_data),
parse_mode=telegram.constants.ParseMode.MARKDOWN,
for reply in s.price_reply(symbols): )
await update.message.reply_text( return
text=reply, except KeyError as ex:
parse_mode=telegram.constants.ParseMode.MARKDOWN, logging.warning(ex)
disable_notification=True, pass
)
if symbols:
log.info(f"Symbols found: {symbols}")
async def intra(update: Update, context: ContextTypes.DEFAULT_TYPE): await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
"""returns a chart of intraday data for a symbol"""
log.info(f"Intra command ran by {update.message.chat.username}") for reply in s.price_reply(symbols):
await update.message.reply_text(
message = update.message.text text=reply,
chat_id = update.message.chat_id parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
if message.strip().split("@")[0] == "/intra": )
await update.message.reply_text(
"This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla"
) def generate_options_reply(options_data: dict):
return # Header with Option Symbol and Underlying
message_text = f"*{options_data['Option Symbol']} ({options_data['Underlying']})*\n\n"
symbols = s.find_symbols(message, trending_weight=5)
symbol = symbols[0] # Key details
details = (
if len(symbols): f"*Expiration:* `{options_data['Expiration']}`\n"
symbol = symbols[0] f"*Side:* `{options_data['side']}`\n"
else: f"*Strike:* `{options_data['strike']}`\n"
await update.message.reply_text("No symbols or coins found.") f"*First Traded:* `{options_data['First Traded']}`\n"
return f"*Last Updated:* `{options_data['Last Updated']}`\n\n"
)
df = s.intra_reply(symbol) message_text += details
if df.empty:
await update.message.reply_text( # Pricing info
text="Invalid symbol please see `/help` for usage details.", pricing_info = (
parse_mode=telegram.constants.ParseMode.MARKDOWN, f"*Bid:* `{options_data['bid']}` (Size: `{options_data['bidSize']}`)\n"
disable_notification=True, f"*Mid:* `{options_data['mid']}`\n"
) f"*Ask:* `{options_data['ask']}` (Size: `{options_data['askSize']}`)\n"
return f"*Last:* `{options_data['last']}`\n\n"
)
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO) message_text += pricing_info
buf = io.BytesIO() # Volume and open interest
mpf.plot( volume_info = f"*Open Interest:* `{options_data['Open Interest']}`\n" f"*Volume:* `{options_data['Volume']}`\n\n"
df, message_text += volume_info
type="renko",
title=f"\n{symbol.name}", # Greeks
volume="Volume" in df.keys(), greeks_info = (
style="yahoo", f"*IV:* `{options_data['Implied Volatility']}`\n"
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"), f"*Delta:* `{options_data['delta']}`\n"
) f"*Gamma:* `{options_data['gamma']}`\n"
buf.seek(0) f"*Theta:* `{options_data['theta']}`\n"
f"*Vega:* `{options_data['vega']}`\n"
await update.message.reply_photo( f"*Rho:* `{options_data['rho']}`\n"
photo=buf, )
caption=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to" message_text += greeks_info
+ f" {df.last_valid_index().strftime('%d %b at %H:%M %Z')}"
+ f"\n\n{s.price_reply([symbol])[0]}", return message_text
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
) async def intra(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of intraday data for a symbol"""
log.info(f"Intra command ran by {update.message.chat.username}")
async def chart(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of the past month of data for a symbol""" message = update.message.text
log.info(f"Chart command ran by {update.message.chat.username}") chat_id = update.message.chat_id
message = update.message.text if message.strip().split("@")[0] == "/intra":
chat_id = update.message.chat_id await update.message.reply_text(
"This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla"
if message.strip().split("@")[0] == "/chart": )
await update.message.reply_text( return
"This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla"
) symbols = s.find_symbols(message, trending_weight=5)
return symbol = symbols[0]
symbols = s.find_symbols(message, trending_weight=10) if len(symbols):
symbol = symbols[0]
if len(symbols): else:
symbol = symbols[0] await update.message.reply_text("No symbols or coins found.")
else: return
await update.message.reply_text("No symbols or coins found.")
return df = s.intra_reply(symbol)
if df.empty:
df = s.chart_reply(symbol) await update.message.reply_text(
if df.empty: text="Invalid symbol please see `/help` for usage details.",
await update.message.reply_text( parse_mode=telegram.constants.ParseMode.MARKDOWN,
text="Invalid symbol please see `/help` for usage details.", disable_notification=True,
parse_mode=telegram.constants.ParseMode.MARKDOWN, )
disable_notification=True, return
)
return await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
buf = io.BytesIO()
buf = io.BytesIO() mpf.plot(
mpf.plot( df,
df, type="renko",
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)
await update.message.reply_photo(
await update.message.reply_photo( photo=buf,
photo=buf, caption=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to"
caption=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}" + f" {df.last_valid_index().strftime('%d %b at %H:%M %Z')}"
+ f" to {df.last_valid_index().strftime('%d, %b %Y')}\n\n{s.price_reply([symbol])[0]}", + f"\n\n{s.price_reply([symbol])[0]}",
parse_mode=telegram.constants.ParseMode.MARKDOWN, parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True, disable_notification=True,
) )
async def trending(update: Update, context: ContextTypes.DEFAULT_TYPE): async def chart(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns currently trending symbols and how much they've moved in the past trading day.""" """returns a chart of the past month of data for a symbol"""
log.info(f"Trending command ran by {update.message.chat.username}") log.info(f"Chart command ran by {update.message.chat.username}")
chat_id = update.message.chat_id message = update.message.text
chat_id = update.message.chat_id
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
if message.strip().split("@")[0] == "/chart":
trending_list = s.trending() await update.message.reply_text(
"This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla"
await update.message.reply_text( )
text=trending_list, return
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True, symbols = s.find_symbols(message, trending_weight=10)
)
if len(symbols):
symbol = symbols[0]
async def inline_query(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: else:
""" await update.message.reply_text("No symbols or coins found.")
Handles inline query. Searches by looking if query is contained return
in the symbol and returns matches in alphabetical order.
""" df = s.chart_reply(symbol)
if df.empty:
if not update.inline_query.query: await update.message.reply_text(
return text="Invalid symbol please see `/help` for usage details.",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
print(f"Query: {update.inline_query.query}") disable_notification=True,
)
ignored_queries = {"$", "$$", " ", ""} return
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
if update.inline_query.query.strip() in ignored_queries:
default_message = """ buf = io.BytesIO()
You can type:\n@SimpleStockBot `[search]` mpf.plot(
in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price. df,
""" type="candle",
title=f"\n{symbol.name}",
await update.inline_query.answer( volume="Volume" in df.keys(),
[ style="yahoo",
InlineQueryResultArticle( savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
str(uuid4()), )
title="Please enter a query. It can be a ticker or a name of a company.", buf.seek(0)
input_message_content=InputTextMessageContent(
default_message, parse_mode=telegram.constants.ParseMode.MARKDOWN await update.message.reply_photo(
), photo=buf,
) caption=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}"
] + f" to {df.last_valid_index().strftime('%d, %b %Y')}\n\n{s.price_reply([symbol])[0]}",
) parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
matches = s.inline_search(update.inline_query.query) )
results = []
for _, row in matches.iterrows(): async def trending(update: Update, context: ContextTypes.DEFAULT_TYPE):
results.append( """returns currently trending symbols and how much they've moved in the past trading day."""
InlineQueryResultArticle( log.info(f"Trending command ran by {update.message.chat.username}")
str(uuid4()),
title=row["description"], chat_id = update.message.chat_id
input_message_content=InputTextMessageContent(
row["price_reply"], parse_mode=telegram.constants.ParseMode.MARKDOWN await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
),
) trending_list = s.trending()
)
await update.message.reply_text(
if len(results) == 5: text=trending_list,
await update.inline_query.answer(results, cache_time=60 * 60) parse_mode=telegram.constants.ParseMode.MARKDOWN,
log.info("Inline Command was successful") disable_notification=True,
return )
await update.inline_query.answer(results)
async def inline_query(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
async def rand_pick(update: Update, context: ContextTypes.DEFAULT_TYPE): """
"""For the gamblers. Returns a random symbol to buy and a sell date""" Handles inline query. Searches by looking if query is contained
log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}") in the symbol and returns matches in alphabetical order.
"""
await update.message.reply_text(
text=s.random_pick(), if not update.inline_query.query:
parse_mode=telegram.constants.ParseMode.MARKDOWN, return
disable_notification=True,
) print(f"Query: {update.inline_query.query}")
ignored_queries = {"$", "$$", " ", ""}
async def error(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Log Errors caused by Updates.""" if update.inline_query.query.strip() in ignored_queries:
log.warning('Update "%s" caused error "%s"', update, error) default_message = """
You can type:\n@SimpleStockBot `[search]`
tb_list = traceback.format_exception(None, context.error, context.error.__traceback__) in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price.
tb_string = "".join(tb_list) """
err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)]) await update.inline_query.answer(
log.warning(f"Logging error: {err_code}") [
InlineQueryResultArticle(
if update: str(uuid4()),
log.warning( title="Please enter a query. It can be a ticker or a name of a company.",
f"An exception was raised while handling an update\n" input_message_content=InputTextMessageContent(
f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n" default_message, parse_mode=telegram.constants.ParseMode.MARKDOWN
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( matches = s.inline_search(update.inline_query.query)
text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`",
parse_mode=telegram.constants.ParseMode.MARKDOWN, results = []
) for _, row in matches.iterrows():
else: results.append(
log.warning("No message to send to user.") InlineQueryResultArticle(
log.warning(tb_string) str(uuid4()),
title=row["description"],
input_message_content=InputTextMessageContent(
def main(): row["price_reply"], parse_mode=telegram.constants.ParseMode.MARKDOWN
"""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 if len(results) == 5:
application.add_handler(CommandHandler("start", start)) await update.inline_query.answer(results, cache_time=60 * 60)
application.add_handler(CommandHandler("help", help)) log.info("Inline Command was successful")
application.add_handler(CommandHandler("license", license)) return
application.add_handler(CommandHandler("trending", trending)) await update.inline_query.answer(results)
application.add_handler(CommandHandler("random", rand_pick))
application.add_handler(CommandHandler("donate", donate))
application.add_handler(CommandHandler("status", status)) async def rand_pick(update: Update, context: ContextTypes.DEFAULT_TYPE):
application.add_handler(CommandHandler("inline", inline_query)) """For the gamblers. Returns a random symbol to buy and a sell date"""
log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}")
# Charting can be slow so they run async.
application.add_handler(CommandHandler("intra", intra, block=False)) await update.message.reply_text(
application.add_handler(CommandHandler("intraday", intra, block=False)) text=s.random_pick(),
application.add_handler(CommandHandler("day", intra, block=False)) parse_mode=telegram.constants.ParseMode.MARKDOWN,
application.add_handler(CommandHandler("chart", chart, block=False)) disable_notification=True,
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)) async def error(update: Update, context: ContextTypes.DEFAULT_TYPE):
application.add_handler(MessageHandler(filters.PHOTO, symbol_detect_image)) """Log Errors caused by Updates."""
log.warning('Update "%s" caused error "%s"', update, error)
# Inline Bot commands
application.add_handler(InlineQueryHandler(inline_query)) tb_list = traceback.format_exception(None, context.error, context.error.__traceback__)
tb_string = "".join(tb_list)
# Pre-checkout handler to final check
application.add_handler(PreCheckoutQueryHandler(precheckout_callback)) err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)])
log.warning(f"Logging error: {err_code}")
# Payment success
application.add_handler(MessageHandler(filters.SUCCESSFUL_PAYMENT, successful_payment_callback)) if update:
log.warning(
# log all errors f"An exception was raised while handling an update\n"
application.add_error_handler(error) f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n"
f"\tcontext.chat_data = {str(context.chat_data)}\n"
# Start the Bot f"\tcontext.user_data = {str(context.user_data)}\n"
application.run_polling(allowed_updates=Update.ALL_TYPES) f"\t{html.escape(tb_string)}"
)
if __name__ == "__main__": await update.message.reply_text(
main() 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()
+1 -1
View File
@@ -1,2 +1,2 @@
python-telegram-bot==20.5 python-telegram-bot==20.6
-r requirements.txt -r requirements.txt
+21 -33
View File
@@ -1,33 +1,21 @@
import keyboard import time
import time
import keyboard
tests = """$$xno tests = """$$xno
/info $tsla $tsla
/info $$btc /intra $tsla
/news $tsla /intra $$btc
/news $$btc /chart $tsla
/stat $tsla /chart $$btc
/stat $$btc /help
/cap $tsla /trending""".split("\n")
/cap $$btc
/dividend $tsla print("press enter to start")
/dividend $msft keyboard.wait("enter")
/dividend $$btc
/intra $tsla for test in tests:
/intra $$btc print(test)
/chart $tsla keyboard.write(test)
/chart $$btc time.sleep(1)
/help keyboard.press_and_release("enter")
/trending""".split(
"\n"
)
print("press enter to start")
keyboard.wait("enter")
for test in tests:
print(test)
keyboard.write(test)
time.sleep(1)
keyboard.press_and_release("enter")