Your strategies.
Your infrastructure.

Backtest, scan, risk-manage, and deploy your trading strategies with professional-grade tools you own and control.

Python 3.10+ · Windows, Mac, Linux · No subscription required

Everything you need to trade systematically

From backtesting to live deployment, AlgoDeploy handles the infrastructure so you can focus on your edge.

📊

Dual-Mode Backtester

Vectorized engine for fast iteration, event-driven engine for complex position management. Slippage, commissions, and next-bar-open fills built in.

🔍

Signal Scanner

Composable rule system with 10 technical indicators. Scan your universe, qualify candidates, and pre-compute exit levels in one pass.

🛡️

Risk Management

Four position sizers, eight pre-trade checks, runtime drawdown monitor with circuit breaker. Configurable from conservative to aggressive.

⚡

Live Trading

Automated scan-size-check-execute loop with Alpaca Markets integration. Dry-run mode lets you validate before risking real capital.

📱

Real-Time Dashboard

Monitor positions, equity, risk, and alerts from your browser. WebSocket updates, stop/resume controls, and full trade history.

🔧

Fully Extensible

Bring your own data sources, strategies, and broker adapters. Clean abstractions make it easy to customize every layer.

From idea to live in four steps

Write Your Strategy

Implement a simple Python class. Vectorized or event-driven, your choice.

Backtest It

Run against historical data with realistic friction. Full metrics: Sharpe, drawdown, win rate.

Configure Risk

Set position limits, drawdown thresholds, and sizing rules. Start with a preset or go custom.

Deploy

Connect your broker, start the runner, and monitor from the dashboard. Dry-run first.

Clean, readable API

A complete backtest in 15 lines of Python.

from algodeploy.backtest.strategy import Strategy, SIGNAL_LONG, SIGNAL_FLAT
from algodeploy.backtest.engine import Engine
from algodeploy.backtest.data import YFinanceData

class GoldenCross(Strategy):
    name = "GoldenCross"

    def generate_signals(self, data):
        sma50 = data["close"].rolling(50).mean()
        sma200 = data["close"].rolling(200).mean()
        return (sma50 > sma200).astype(int)

results = Engine(
    strategy=GoldenCross(),
    data_source=YFinanceData(),
    symbol="SPY", start="2020-01-01", end="2024-12-31",
).run()

print(f"Sharpe: {results.metrics.sharpe_ratio:.2f}")
    

Simple, one-time pricing

Pay once, own it forever. No recurring fees required.

Launch Price

$199$149

One-time payment · Limited time

Full backtesting engine (vectorized + event-driven)
Signal scanner with 10 indicators
Risk management (4 sizers, 8 checks, monitor)
Live trading with Alpaca integration
Real-time monitoring dashboard
All future 1.x updates included
Strategy examples and documentation

Get AlgoDeploy - $149

Standard

$199

One-time payment

Everything in Launch, at regular price
Full backtesting engine (vectorized + event-driven)
Signal scanner with 10 indicators
Risk management (4 sizers, 8 checks, monitor)
Live trading with Alpaca integration
Real-time monitoring dashboard
All future 1.x updates included

Get AlgoDeploy - $199

Optional: Priority Support Subscription

Email support, early access to new features, and broker integration help.

$9.99/mo

or $99/year (save 17%)

Frequently asked questions

What do I need to get started?

Python 3.10 or newer and a computer. AlgoDeploy runs on Windows, Mac, and Linux. For live trading, you'll need a free Alpaca Markets account. No other subscriptions or data feeds required.

Is this investment advice?

No. AlgoDeploy is software infrastructure. It does not provide trading signals, recommendations, or advice. You bring your own strategies and are responsible for all trading decisions and outcomes.

What brokers are supported?

Alpaca Markets is supported at launch (paper and live trading). The broker interface is abstract, so additional brokers (Schwab, Interactive Brokers) will be added in future updates. You can also implement your own adapter.

Do I need the subscription?

No. The one-time purchase includes everything: backtester, signals, risk management, live trading, and dashboard. The subscription is optional and adds priority email support, early feature access, and broker setup help.

What data sources can I use?

Yahoo Finance (free, included), CSV files, or any custom data source you implement. The DataSource interface is simple to extend for any API or database.

Can I use my own strategies?

Yes, that's the entire point. AlgoDeploy provides the infrastructure. You write your strategy as a Python class (vectorized or event-driven), and the platform handles backtesting, risk management, and execution.

What's your refund policy?

30-day money-back guarantee. If AlgoDeploy doesn't meet your needs, email us for a full refund, no questions asked.

Your strategies.Your infrastructure.