aptis-strategy-sdk 0.1.0

Python SDK for building plugin trading strategies on the Aptis platform

Aptis Strategy SDK

Python SDK for building trading strategies on the Aptis platform.

Author: Richard Chung

Installation

pip install aptis-strategy-sdk

Environment Variables

APTIS_API_KEY=your_api_key_here     # Your API key
APTIS_ACCOUNT=Theme                  # Account to trade under (Theme or QSpark)
APTIS_API_URL=http://localhost:8082  # Backend URL

Never hardcode these — always read from env vars.

Quick Start

import os
from aptis_strategy_sdk import AptisClient, Strategy, Signal
from datetime import date

client = AptisClient(
    api_key=os.getenv("APTIS_API_KEY", "test_key_123"),
    base_url=os.getenv("APTIS_API_URL", "http://localhost:8082")
)

class MyStrategy(Strategy):
    def generate_signals(self, run_date: date):
        # your logic here
        return [Signal(symbol="AAPL", asset_class="equity",
                       quantity=100, side="BUY", signal_type="ENTRY")]

strategy = MyStrategy(
    name="My Strategy",
    client=client,
    account=os.getenv("APTIS_ACCOUNT", "Theme")
)
result = strategy.run(date.today())

Accounts

The platform supports multiple accounts (trading scenarios). Each account has its own API key. Set APTIS_ACCOUNT to target the correct account:

# Run against Theme account
APTIS_ACCOUNT=Theme APTIS_API_KEY=test_key_123 python my_strategy.py

# Run against QSpark account
APTIS_ACCOUNT=QSpark APTIS_API_KEY=qspark_key_123 python my_strategy.py

API Methods

AptisClient

• submit_signal(signal, strategy_name, account) — submit a trading signal
• get_config(strategy_name) — get NAV, funds, portfolio_weight, enabled
• get_quotes(symbols, asset_class) — get market quotes
• get_bars(symbol, asset_class, timeframe, start, end) — get OHLCV bars
• get_positions(account, strategy_name) — get current positions
• get_pnl(account, start_date, end_date, strategy_name) — get P&L

Strategy Base Class

• generate_signals(date) — override with your logic, return List[Signal]
• run(date) — calls generate_signals, submits all signals
• get_features(symbols, date, features) — fetch Dagster features
• get_positions() — get positions for this strategy

Signal Fields

Field	Required	Description
symbol	Yes	Ticker
asset_class	Yes	equity, etf, crypto, forex, commodity
quantity	Yes	Units
side	Yes	BUY or SELL
signal_type	Yes	ENTRY, EXIT, ADJUST
order_parameters	No	order_type, limit_price, etc.
metadata	No	Notes only, not used for execution

Full Documentation

See docs/customer-integration/ for complete guides.