Algorithmic trading—commonly known as algo trading—is rapidly gaining momentum across India. As retail participation in financial markets grows, so does the demand for automated, efficient, and data-driven trading solutions. In response, both traditional and discount brokers are stepping up by offering robust APIs (Application Programming Interfaces), SDKs (Software Development Kits), and real-time WebSockets to support algorithmic strategies.
This guide provides a comprehensive overview of the core technologies behind algo trading and lists Indian brokers that either offer direct API access or support integration through third-party platforms.
Understanding the Tech Behind Algo Trading
Before diving into broker-specific details, it’s essential to understand the foundational tools that power algorithmic trading systems.
What Is an API?
An API (Application Programming Interface) acts as a gateway between your trading software and a broker's server. Think of it like visiting a bank: each service counter—deposit, loan inquiry, online banking setup—represents a different endpoint. Similarly, an API allows you to send requests (e.g., place an order, check balance) and receive responses from the broker’s system programmatically.
In algo trading, APIs are used for:
- Placing and managing orders
- Fetching account and position data
- Accessing market snapshots
Without a reliable API, automating trades becomes nearly impossible.
👉 Discover how modern trading platforms simplify API access for developers.
What Is an SDK?
An SDK (Software Development Kit) is essentially a pre-built toolkit that wraps around an API. While an API is just a set of endpoints, an SDK includes libraries, code samples, and documentation that make integration faster and easier—especially for developers working in specific programming languages.
For example, if a broker offers a Python SDK, you can import their library directly into your script and start trading with minimal setup.
Common SDK languages offered by Indian brokers include:
- Python – most popular due to its simplicity and strong data science ecosystem
- Node.js – ideal for real-time applications
- Java, .NET, Go, C++ – preferred for high-performance systems
Having an SDK doesn’t replace the need to understand the underlying API, but it significantly reduces development time.
What Are WebSockets?
WebSockets enable real-time, two-way communication between your application and the broker’s server. Unlike traditional APIs that require repeated requests (polling), WebSockets maintain a continuous connection, streaming live market data such as stock prices, order updates, and trade confirmations.
This is crucial for:
- High-frequency trading (HFT)
- Strategy execution based on live price movements
- Real-time risk monitoring
Historically, traders relied on ticker tapes to get continuous price feeds. Today, WebSockets serve as the digital equivalent, delivering millisecond-level updates directly to your trading engine.
Brokers that do not provide WebSocket support force traders to rely on slower polling methods or external data vendors—adding complexity and cost.
👉 See how real-time data streams enhance trading performance.
Indian Brokers Offering API Access
Below is a curated list of Indian brokerage firms that provide direct API access for algorithmic trading. The information covers available APIs, SDKs, WebSocket support, and associated charges.
⚠️ Disclaimer: This list is for informational purposes only. No affiliation or endorsement is implied. Always verify details on the official broker website.
5Paisa
- APIs: Trading API, Market Data API
- SDKs: Python, Node.js, Go
- WebSockets: Not confirmed
- Charges: Free
Abstox
- APIs: Trading API, Market Data API
- SDKs: None listed
- WebSockets: Yes
- Charges: Free
AliceBlue
- APIs: Trading API
- SDKs: Python
- WebSockets: Yes
- Charges: Free
AngelOne (formerly Angel Broking)
- APIs: Trading API, Market Feeds API, Historical Data API
- SDKs: Python, Java, Node.js, R, Go
- WebSockets: Yes
- Charges: Free
Composite Edge
- APIs: Trading API, Market Data API
- SDKs: None
- WebSockets: Yes
- Charges: Free
Fyers
- APIs: Trading API, Market Data API
- SDKs: Python, Node.js
- WebSockets: Yes (via TrueData)
- Charges: Subscription fee applies for premium data
ICICI Securities
- APIs: Trading API
- SDKs: None
- WebSockets: No
- Charges: Free
Kotak Securities
- APIs: Trading API
- SDKs: Python
- WebSockets: No
- Charges: Free
MasterTrust
- APIs: Trading API
- SDKs: Python, Node.js
- WebSockets: Not confirmed
- Charges: Free
SS Corporate Securities
- APIs: Trading API, Market Data API
- SDKs: None
- WebSockets: Yes
- Charges: Free
Trade Smart Online
- APIs: Trading API
- SDKs: None
- WebSockets: No
- Charges: Free
TrustLine
- APIs: Trading API
- SDKs: None
- WebSockets: No
- Charges: Free
Upstox
- APIs: Trading API, Historical Data API
- SDKs: Python, Node.js
- WebSockets: Yes
- Charges: ₹750/month (₹500 for students)
Zebu (Zerodha's back-end tech provider)
- APIs: Trading API
- SDKs: None
- WebSockets: No
- Charges: Free
Zerodha
- APIs: Trading API, Historical Data API
- SDKs: Python, Java, PHP, Node.js, C#, .NET, Go, Rust, C++
- WebSockets: Yes
- Charges: ₹2000 one-time fee
Zerodha remains one of the most developer-friendly brokers with extensive documentation and community support.
ShareKhan
- APIs: Trading API
- SDKs: None
- WebSockets: No
- Charges: Free
TradeJini
- APIs: Trading API
- SDKs: None
- WebSockets: No
- Charges: Free
Samco
- APIs: Trading API
- SDKs: Python, Java, Node.js
- WebSockets: Yes
- Charges: Free
IIFL Securities
- APIs: Trading API
- SDKs: Python, Node.js, PHP, Rust, C#, Java, VB.Net
- WebSockets: No
- Charges: Free
Finvasia
- APIs: Trading API
- SDKs: C++, Java, .NET
- WebSockets: No
- Charges: Contact for pricing
Brokers Supporting Algo Trading via Third-Party Platforms
Even if a broker doesn’t offer a public API, many still allow algorithmic trading through third-party platforms like TradeTron, which act as middleware between your strategy and the broker’s order management system.
These platforms often use low-code or no-code interfaces, making algo trading accessible to non-developers.
Brokers in this category include:
- Acumen Group
- Aditya Birla Money
- Arham Share
- Arham Wealth
- Arihant Capital
- Basan Online
- Enrich Broking
- Gill Broking
- Goodwill Wealth Management
- Share India
- Motilal Oswal
- Nirmal Bang
- Prabhudas Liladher
- Profit Mart
- Rudra Shares
- Swastika Investmart
- Trade Swift
- Wisdom Capital
👉 Explore how third-party integrations expand algo trading access.
Frequently Asked Questions (FAQ)
Q: Can I do algo trading without knowing how to code?
A: Yes! Low-code and no-code platforms like TradeTron allow you to build and deploy strategies using visual builders or pre-built logic blocks—even without programming knowledge.
Q: Are broker APIs free in India?
A: Most brokers offer free API access, though some charge nominal fees (e.g., Zerodha’s ₹2000 one-time fee). Always confirm current pricing on the official site.
Q: Why are WebSockets important for algo trading?
A: They enable real-time data streaming, which is critical for strategies sensitive to price changes or latency—like arbitrage or scalping.
Q: Can I use multiple brokers’ APIs in one strategy?
A: Technically yes, but it increases complexity. Most traders standardize on one broker for consistency and easier debugging.
Q: Is algo trading legal in India?
A: Yes. SEBI permits algorithmic trading across exchanges (NSE, BSE), provided you comply with risk controls and exchange guidelines.
Q: Which broker has the best developer support?
A: Zerodha and AngelOne are widely praised for their detailed documentation, active developer communities, and responsive support teams.
Final Thoughts
The rise of algo trading in India reflects a broader shift toward automation and technology-driven investing. Whether you're a seasoned developer or a retail trader exploring automation for the first time, choosing the right broker with strong API capabilities, SDK support, and real-time data feeds is key to building effective strategies.
As the ecosystem evolves, expect more brokers to enhance their tech offerings—making algorithmic trading increasingly accessible to all investors.
Note: Information accurate as of 2025. Brokers may update offerings without notice.