If you're a Python developer building trading tools, dashboards, or execution engines, chances are, you've hit the same roadblocks over and over:
Managing different broker APIs
Handling SL, target, trailing logic
Managing execution lifecycle: entry, re-entry, exit
Building simulations for forward testing (Paper Trading)
What if we told you that you can skip all of that?
No broker integration headaches. No order management nightmares. Just plug into one API and you're good to go.
Welcome to AlgoTest’s Signals API, built for developers who want to automate trading via Python.
The Problem: Broker APIs Are a Pain
If you’ve ever worked with broker APIs like Zerodha, Groww, Dhan, or Upstox, you know the story:
Every broker has their own authentication model
Order types and execution rules vary wildly
SL/Target logic? You’ll have to code it from scratch
Trailing SLs? You’re on your own
Want to switch brokers? Rewrite everything again
That’s where AlgoTest comes in.
The Solution: One Payload to Rule Them All
With AlgoTest, you can define your entire strategy, including SL, Target, Trailing SL, Entry/Exit Buffers, and Product Types, in one clean JSON payload.
We take care of the rest:
Connect with any supported broker (Zerodha, Dhan, Upstox, etc.)
Handle order placement, modification, exits
Manage risk logic like MTM-based stop loss
Allow forward testing with virtual capital
Monitor and retry orders on your behalf
Ready to Get Started?
We've created a Postman Collection to help you test everything from strategy creation to square-off in minutes.
Just import it, add your access token, and start firing real or virtual trades from Postman.
Example Use Case:
Want to short a 23850 CE and 23350 PE on NIFTY? Just send this via API:
"Legs": [
{
"PositionConfig": {
"InstrumentKind": "LegType.CE",
"StrikeParameter": 23850,
"PositionType": "PositionType.Sell",
...
},
"ExecutionConfig": {
"EntryOrder": {
"Type": "OrderType.Limit",
"Value": {
"Buffer": { "LimitBuffer": 3 }
}
}
}
},
...
]
Add an overall MTM stop loss:
"OverallSL": {
"Type": "OverallTgtSLType.MTM",
"Value": 3000
}
And you're done.
Forward Test Before You Go Live
Not ready to deploy with real capital?
Just switch to virtual mode. You can run the same strategy in real market conditions but with virtual P&L tracking. Ideal for:
Strategy validation
PnL testing without slippage
Risk-free prototyping
No Need to Integrate Every Broker
Want to trade live? Just connect your broker account once inside AlgoTest. That’s it.
Your API payload remains the same, no broker-specific code required. AlgoTest will:
Fetch your credentials
Place orders via the correct broker
Track and manage your positions
You focus on building strategy. We handle the broker layer.
Secure. Scalable. Plug-n-Play.
All trade actions are authenticated via access tokens, and execution is managed on secure, auto-scaled infrastructure. You don’t need to worry about server crashes, missed SLs, or partial exits.
Built for Python Developers
You’re already writing strategy logic in Python, so we’ve made our APIs extremely simple to call from any Python script or backend.
Here’s a basic structure using requests:
import requests
payload = {
"access_token": "<your-token>",
"alert_name": "strategy_1",
"exit_time": "2025-11-29T15:15:00",
"strategy": {
...
}
}
res = requests.post("https://algotest.in/api/webhook/custom-strategy/execution/start/<signal_id>", json=payload)
print(res.json())
Whether you’re building an options dashboard, a trading strategy, or an execution engine, AlgoTest lets you:
- Deploy your entire strategy with one API
- Trade with any broker via a unified interface
- Forward test with virtual capital
- Skip the execution headache
Ready to Automate Your Strategy?
- Start building today.
- Sign up at AlgoTest
- Connect your broker
- Trigger your first strategy via API
- Check the Postman Collection to get started instantly
Want help setting up your flow? Drop us a message, we love chatting with devs.
Stay tuned! We are coming up with another blog illustrating an example of the above method.
If you are looking to execute your TradingView alert with your AlgoTest Signals, you can read about it on the article, "How to use AlgoTest Signals to Execute your First TradingView Alert?"
