# Build, Deploy & Manage Stocks & Options Strategies with a Single API Author: AlgoTest Author URL: https://algotest.in/blog/author/algotest/ Published: 2025-06-27 Category: Signals Category URL: https://algotest.in/blog/category/signals/ Meta Title: Trading API for Stocks & Options | AlgoTest Meta Description: Build and automate stock and options strategies with AlgoTest's trading API. Use Python, configure risk rules, paper test, and deploy live. Tags: algo trading, algotest Tag URLs: algo trading (https://algotest.in/blog/tag/algo-trading/), algotest (https://algotest.in/blog/tag/algotest/) URL: https://algotest.in/blog/signals-api-for-developers/ ![](https://prod.superblogcdn.com/site_cuid_cmbhlz3q0002sxzc513a62pj5/images/blog-thumbnail-3-1751026743053-compressed.png) 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, and trailing SL logic** - Managing the strategy execution lifecycle: **entry and exit** - Building simulations for **forward testing (** [**paper trading**](https://algotest.in/blog/paper-trading-websites-india) **)** - Managing multi-leg [**options strategies**](https://algotest.in/blog/options-trading-strategies) ### **What if you could skip all of that?** No broker integration headaches. No complex order management code. Just plug into one **trading API** and you're ready to build. Welcome to [**AlgoTest's Signals API**](https://algotest.in/feature/signals?utm_source=blog&utm_medium=organic&utm_campaign=seo&utm_source=blog&utm_medium=organic&utm_campaign=seo), built for developers who want to automate trading using 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](https://algotest.in/register?utm_source=blogs&utm_medium=organics&utm_campaign=seo&utm_source=blogs&utm_medium=organics&utm_campaign=seo) comes in. ### **The Solution: One Payload to Rule Them All** With [AlgoTest](https://algotest.in/feature/signals?utm_source=blog&utm_medium=organic&utm_campaign=seo&utm_source=blog&utm_medium=organic&utm_campaign=seo), 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 detailed [**Signals API Documentation**](https://algo-test.github.io/api-docs/components/signals-api-overview/) to help you understand the API, configure your strategy, and get started with API-based execution. You can explore the API endpoints, request parameters, strategy configuration, and execution workflow directly from the documentation. The API supports strategy configurations for indices, individual NSE stocks, and supported crypto instruments. It also supports **options, futures, and cash/equity legs**, subject to instrument and exchange-specific restrictions. [AlgoTest](https://algotest.in/register?utm_source=blogs&utm_medium=organics&utm_campaign=seo&utm_source=blogs&utm_medium=organics&utm_campaign=seo) handles the execution layer for supported brokers, so you can focus on building your strategy. ## **Automate Options Strategies Through an API** Options strategies often involve multiple legs, different strikes, position types, and risk-management rules. For example, you can configure a NIFTY strategy with a short 23850 CE and 23350 PE and add an overall MTM stop loss. You can define the legs in your API payload: ``` "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? You can use the **paper trading endpoint for forward testing** before moving to live execution. The Signals API provides separate endpoints for live and paper execution, allowing you to test your strategy before deploying it with real capital. This can be useful for: - Strategy validation - Testing entry and exit logic - Monitoring virtual P&L - Testing your API integration before live execution ## **No Need to Integrate Every Broker** Want to trade live? Connect your supported broker account and use the live Signals API endpoint to start the strategy. For live execution, the API requires a `broker_id`, which can be obtained from the **Broker Setup** page. The paper endpoint does not require the broker ID. Your strategy configuration remains in the API payload while [AlgoTest](https://algotest.in/register?utm_source=blog&utm_medium=organic&utm_campaign=seo&utm_source=blog&utm_medium=organic&utm_campaign=seo) handles the execution layer for the supported broker. ## **Manage SL, Target and Trailing SL** You can configure risk-management rules at both the strategy and individual-leg level. The API supports: - Overall MTM stop loss - Overall MTM target - Premium percentage-based overall SL/target - Per-leg stop loss - Per-leg target - Underlying-based SL/target - Trailing stop loss in points or percentage This allows you to define your strategy's risk-management rules along with its entry and execution configuration. ### **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": "",   "alert_name": "strategy_1",   "exit_time": "2025-11-29T15:15:00",   "strategy": {     ...   } } res = requests.post("https://algotest.in/api/webhook/custom-strategy/execution/start/", 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**](https://algotest.in/blog/best-brokers-for-algo-trading-in-india) via a unified interface - **Forward test** with [virtual capital](https://algotest.in/blog/best-virtual-trading-apps-in-india) - Skip the execution headache ## **Ready to Automate Your Strategy?** Get started with AlgoTest Signals API: 1. Review the [**Signals API Documentation**](https://algo-test.github.io/api-docs/components/signals-api-overview/). 2. [**Start Free with AlgoTest**](https://algotest.in/register?utm_source=blogs&utm_medium=organics&utm_campaign=seo&utm_source=blogs&utm_medium=organics&utm_campaign=seo). 3. Configure your strategy and get your API access token. 4. Test your strategy using the paper/forward-testing endpoint. 5. Connect your supported broker and trigger your strategy through the API for live execution. [**Explore the Signals API Documentation**](https://algo-test.github.io/api-docs/components/signals-api-overview/) to start building your automated trading workflow. Want help setting up your flow? [**Drop us a message**](https://t.me/algotest_in) — we love chatting with developers. If you want to execute TradingView alerts with AlgoTest Signals, read [**How to Use AlgoTest Signals to Execute Your First TradingView Alert**](https://algotest.in/blog/tradingview-alerts-using-algotest-signals/). Start Free ### **Additional Resources** 📚 [**Product Documentation**](https://docs.algotest.in/?utm_source=blog&utm_medium=organic&utm_campaign=seo&utm_source=blog&utm_medium=organic&utm_campaign=seo) Trading Tools - [**Margin Calculator**](https://algotest.in/margin-calculator) - [**IVR & IVP**](https://algotest.in/feature/ivr-ivp) - [**VRP Analysis**](https://algotest.in/feature/vrp-analysis) - [**OpenBroker**](https://openbroker.in/) ## FAQs Q: What is a trading API? A: A trading API allows your application or code to communicate with a trading platform and send instructions for strategy execution. It can be used to build automated trading systems, trading applications, and strategy execution tools. Q: Can I use a trading API with Python? A: Yes. You can use the AlgoTest Signals API from a Python script or backend by sending API requests with your strategy configuration and access token. Q: What is an algo trading API? A: An algo trading API allows developers to connect trading strategy logic with an execution platform programmatically. It can be used to automate strategy execution without manually placing each trade. Q: Can I automate options strategies using an API? A: Yes. The AlgoTest Signals API supports multi-leg options strategies, including configurations for option type, strike selection, expiry, position type, stop loss, target, and trailing stop loss. Q: Can I use a trading API for stock trading? A: Yes. The Signals API supports individual NSE stocks as well as supported indices and other instruments. Cash/equity legs are available for individual stock tickers, subject to the API's instrument restrictions. Q: Can I paper trade a strategy through an API? A: Yes. The Signals API provides a separate paper execution endpoint for forward testing, allowing you to test a strategy before moving to live execution. Q: Does the Signals API support stop loss and target orders? A: Yes. You can configure overall strategy-level stop loss and target as well as per-leg stop loss, target, and trailing stop loss. The API supports multiple risk-management configurations depending on the strategy. Q: How do I execute a trading strategy through the AlgoTest API? A: First, review the Signals API documentation and configure your strategy payload. You then authenticate using your access token and use the paper endpoint for forward testing or the live endpoint for live execution. A broker ID is required for live execution. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. ---