Algorithmic Trading with Python: Automate Strategies Without Building Trading Infrastructure

Let’s face it: building your own algorithmic trading system with Python used to be a pain.

You’d either:

• Spend weeks integrating broker APIs one by one

• Build and maintain market-data connections

• Write your own order execution and strategy logic

• Or juggle multiple tools and hope everything works when the market opens

We built AlgoTest so you don’t have to build every part of your trading infrastructure from scratch.

Now, we’re taking it one step further. We’ve open-sourced a working repository to help you build and automate trading strategies using Python and AlgoTest APIs.

Check out the GitHub Repo here.

For Traders Who Code (or Want To)

Whether you're learning Python trading, building an algorithmic trading strategy, or already running your own trading system, the repo gives you a practical starting point

• You just want code-level control instead of clicking buttons on a UI.

• Your strategy logic is too custom or dynamic to be built through AlgoTest’s drag-and-drop interface.

• You’ve been trading using your own infra, but don’t want to maintain 10 broker integrations.

• You want to run live and forward-tested trades with a few clean scripts.

No more writing broker’s orders API from scratch. No more paper trading stack. No more expired tokens. No more chaos.

What You Get Out of the Box

A plug-and-play Python setup that does it all:

Auth & Token Management

Just put your AlgoTest’s phone number and password in a .env file. We handle CSRF tokens, sessions, cookies, everything.

client = AlgoTestClient(phone_number=PHONE_NUMBER, main_url=MAIN_URL)

Fetch Contracts Programmatically

Need strike data for BTC or ETH futures? One line.

contracts = ContractFetcher(token=client.get_tokens(), underlying=UNDERLYING, prices_url=PRICES_URL)

Live Market Feed

Built-in WebSocket client that pipes in live candle data, no messy threading or retries needed.

Strategy Engine (Yes, You Can Code Your Logic)

A sample EMA-based strategy is already wired up. You can replace it with your own algorithmic trading logic:

• Breakouts

• RSI crossovers

• Multi-leg setups

• Machine Learning signals

All of that goes into one place: strategy.py.

Trade Execution with Retry + Tagging

When a signal fires, it creates a trade using our /trade-signal API and you see the exact request + response.

No broker dependencies. Just clean JSON and full control.

Check out the best broker with a Trading API for algo trading

Why Use This Instead of Coding from Scratch?

​We’ve already done the hard parts:

• Broker integrations 

• Order execution infra 

• Forward testing infra 

• Daily infra ops 

So you can focus on the important stuff, strategy logic.

How to Get Started

Clone the Repo:

git clone https://github.com/Algo-Test/algotest-api-trading.git

Set up .env

PHONE_NUMBER=your_number
PASSWORD=your_password
ACCESS_TOKEN=your_token
BROKER_ID=your_broker_id

Install Requirements

pip install -r requirements.txt

• Run it

python main.py

You’ll start seeing:

• Candle updates

• Strategy signals

• Live trades getting placed

All in your terminal. All in code you understand.

Built for Indie Traders & Quant Teams Alike

You can also use the API examples to build algorithmic options trading strategies, including multi-leg setups and custom strategy logic.

You don’t need a “quant team” to automate trades anymore.

This is for:

• The trader testing breakout ideas on the weekend

• The discretionary trader trying to remove emotions from trading

• The quant team building multi-user execution infrastructure

• Or the trader who wants to build and automate BTC options strategies with code

No matter your style, you’ll find this useful.

The Next Step Is Yours

This repo isn’t just a demo.

It’s your blueprint to build whatever you want on AlgoTest, scalping bots, trend followers, portfolio managers, delta-neutral hedgers… you name it.

And the best part?

You don’t have to think about brokers. Or infra. Or failures.
Just write your logic and hit run.

If you’re a trader who codes, this repo is for you.
And if you’re not yet, this might just convince you to start.

Ready to Start Building?

Explore the AlgoTest API Trading GitHub Repo and start building your own automated trading strategies with Python.

For the complete API reference, visit the Signals API Documentation.

Ready to take your strategy further? Start Free with AlgoTest.

Have questions? Join the AlgoTest Telegram Community and connect with the team and other traders.

Additional Resources

📚 Product Documentation

Trading Tools

• Margin Calculator

• IVR & IVP

• VRP Analysis

• OpenBroker

Disclaimer: This article is for educational purposes only and does not constitute investment or trading advice.