Traded Symbols in the Last 30 Days

This example demonstrates how to fetch a list of unique symbols traded in a specific account over the last 30 days.

import pandas as pd
from io import StringIO
from datetime import datetime, timedelta, UTC
import os

from composer import ComposerClient
from composer.models.reports import ReportType
from dotenv import load_dotenv

load_dotenv()

# Initialize the Composer Client
client = ComposerClient(
    api_key=os.getenv("COMPOSER_API_KEY"),
    api_secret=os.getenv("COMPOSER_API_SECRET"),
)

# Get the first account
all_accounts = client.accounts.list()
first_account = all_accounts.accounts[0]

# Define the time range (last 30 days)
until = datetime.now(UTC)
since = until - timedelta(days=30)

# Fetch the trade activity report as a CSV
csv_data = client.reports.get(
    first_account.account_uuid,
    since.strftime("%Y-%m-%dT%H:%M:%S.000Z"),
    until.strftime("%Y-%m-%dT%H:%M:%S.000Z"),
    ReportType.TRADE_ACTIVITY,
)

# Load into a pandas DataFrame and extract unique symbols
df = pd.read_csv(StringIO(csv_data))
unique_symbols = df["Symbol"].unique().tolist()

print(f"Symbols traded in last 30 days: {unique_symbols}")