alpaca_daily_losers.global_functions

Attributes

tz
ctime
today
previous_day
year_ago
production
slack_username
logger

Classes

Slack

A class to send messages to a Slack channel.

Functions

calculate_indicators(→ pandas.DataFrame)	Calculate RSI and Bollinger Bands for a given history and window.
get_historical_data(→ pandas.DataFrame)	Retrieve historical data for a given ticker.
get_ticker_data(→ pandas.DataFrame)	Retrieve historical data for given tickers and compute technical indicators.
send_position_messages(positions, pos_type)	Sends position messages based on the type of position.
send_message(message)	Send a message to Slack.

Module Contents

class alpaca_daily_losers.global_functions.Slack(slack_token: str = None)

A class to send messages to a Slack channel.

slack_token

Token for authenticating with the Slack API.

Type:

str

client

Slack WebClient instance for making API calls.

Type:

WebClient

send_message(channel: str, text: str, username: str = None)

Sends a message to the specified Slack channel.

Parameters:

• channel (str) – Slack channel ID or name.

• text (str) – Message text to send.

• username (str, optional) – Username to send the message as. Defaults to None.

Returns:

Response from the Slack API.

Return type:

dict

Raises:

ValueError – If the Slack token is not set or if the message fails to send.

alpaca_daily_losers.global_functions.tz

alpaca_daily_losers.global_functions.ctime

alpaca_daily_losers.global_functions.today

alpaca_daily_losers.global_functions.previous_day

alpaca_daily_losers.global_functions.year_ago

alpaca_daily_losers.global_functions.production

alpaca_daily_losers.global_functions.slack_username

alpaca_daily_losers.global_functions.logger

alpaca_daily_losers.global_functions.calculate_indicators(history: pandas.DataFrame, window: int) → pandas.DataFrame

Calculate RSI and Bollinger Bands for a given history and window.

Parameters:

• history (pd.DataFrame) – Historical stock data.

• window (int) – Window period for RSI and Bollinger Bands.

Returns:

DataFrame with RSI and Bollinger Band indicators.

Return type:

df (pd.DataFrame)

alpaca_daily_losers.global_functions.get_historical_data(stock_client: py_alpaca_api.Stock, ticker: str, start_date: str, end_date: str) → pandas.DataFrame

Retrieve historical data for a given ticker.

Parameters:

• stock_client (Stock) – Stock client for retrieving historical data.

• ticker (str) – Stock ticker symbol.

• start_date (str) – Start date for historical data.

• end_date (str) – End date for historical data.

Returns:

Historical stock data.

Return type:

history (pd.DataFrame)

alpaca_daily_losers.global_functions.get_ticker_data(tickers, stock_client: py_alpaca_api.Stock, py_logger=None) → pandas.DataFrame

Retrieve historical data for given tickers and compute technical indicators.

Parameters:

• tickers (list) – List of stock ticker symbols.

• stock_client (Stock) – Stock client for retrieving historical data.

• py_logger (logging.Logger, optional) – Logger for logging warnings and errors.

Returns:

DataFrame with the latest technical indicators for each ticker.

Return type:

df_tech (pd.DataFrame)

alpaca_daily_losers.global_functions.send_position_messages(positions: list, pos_type: str)

Sends position messages based on the type of position.

Parameters:

• positions (list) – List of position dictionaries.

• pos_type (str) – Type of position (“buy”, “sell”, or “liquidate”).

Returns:

True if message was sent successfully, False otherwise.

Return type:

bool

alpaca_daily_losers.global_functions.send_message(message: str)

Send a message to Slack.

Parameters:

message (str) – Message to send.