You Don’t Need a 10-Person Tech Team to Automate Trades Anymore
Let’s face it: building your own algo trading infra used to be a pain.
You’d either:
Spend weeks integrating broker APIs one-by-one
Write flaky WebSocket clients that crash mid-day
Or worse, juggle 5 tabs, 3 Excel sheets, and a prayer that your order didn’t get rejected
We built AlgoTest so you don’t have to do that anymore.
Now, we’re taking it one step further. We’ve open-sourced a full working repo to help you automate trades using our APIs.
Check out the GitHub Repo here.
For Traders Who Code (or Want To)
This repo is for you if:
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. Replace it with your own:
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.
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 don’t need a “quant team” to automate trades anymore.
This is for:
The guy testing breakout ideas on the weekend
The discretionary trader trying to remove emotions
The quant team building multi-user execution infra
Or the 22-year-old who just wants to trade BTC options with code and chill
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.
Here you can explore the Repo!
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