I’m excited to invite you to a live YouTube session where I’ll walk you through how to set up and run OpenAlgo with AliceBlue. In this session, you’ll learn how to:
Connect your TradingView strategies to OpenAlgo
Configure OpenAlgo so that signals from TradingView trigger real trades in your AliceBlue account
See a complete demo: from alert → order execution → confirmation
OpenAlgo is an open-source algo trading platform that acts as a bridge between strategy platforms (like TradingView, Amibroker, Excel, Python etc.) and broker APIs.
Key Highlights:
Easy to Automate your orders, 100% opensource
Easy to connect TradingView alerts via webhooks
Place, modify, and cancel orders through a common API
Fully self-hosted — you control the execution and security
In short: OpenAlgo helps you take your trading ideas from charts and automate them into live trades with AliceBlue.
Live AMA with Rajandran R
Creator of OpenAlgo : Ask your questions, share feedback, and pick up expert guidance!
About Rajandran R:
Telecom engineer turned full-time derivatives trader. Creator of OpenAlgo, an open-source algo trading framework for Indian traders. Trading Nifty, Bank Nifty, and high-liquidity stock derivatives since 2006. Expert in Market Profile and Orderflow, now building GenAI trading applications.
Don’t miss this chance to interact directly, ask your questions, and share your thoughts with Rajandran!
From 4PM (IST) onwards. Join the session in the community now!
OpenAlgo, AliceBlue மற்றும் Zerodha brokers-ஓடு அவர்களுடைய official API மூலமாக connect ஆகுது. API key configure பண்ணிட்டா, TradingView, Excel, Amibroker, Python scripts எல்லாமே use பண்ணி direct-ஆ orders execute செய்யலாம்.
மேலும், OpenAlgo broker connectivity மட்டும் இல்ல, இன்னும் பல features தருது:
TradingView Automation – Alerts-லிருந்து நேரடியாக live trades.
Excel / API / Amibroker / Python Integration – Multiple platforms-லிருந்து trade செய்யலாம்.
OpenAlgo is an open-source trading bridge, so it does not come with pre-built or readymade strategies for Nifty, Bank Nifty, or stocks. Traders have to write their own strategies.
The advantage is that you get 100% access to the source code, which means you can customize, extend, and even build your own algo trading platform on top of OpenAlgo. Strategies can be created and connected through Amibroker, TradingView, Python, Excel, or Chartink, depending on your preference.
Yes, it’s possible to set daily loss limits or control trade frequency automatically. But you’ll need to write your own strategy logic for this.
The good news is, with OpenAlgo Custom GPT, traders can build strategies in Python that include features like loss limits, stops, exits, and trade frequency controls. Even non-coders can use it to create their own strategies without deep programming knowledge.
Yes — you can set stop-loss, trailing stop, and position sizing in OpenAlgo. These are not pre-built rules, but you can easily add them when you write your own strategy.
The best part is that with OpenAlgo Custom ChatGPT, even non-coders can generate Python strategies that include stop-loss, targets, and advanced risk management logic. It makes coding such features much easier.
For example, here’s a sample EMA crossover strategy with stop-loss and target built using OpenAlgo Custom GPT:
Yes - you can combine technical indicators (EMA, RSI, MACD, etc.) and fundamental indicators (like P/E ratio, earnings, financial ratios) into a single algorithm using OpenAlgo. OpenAlgo just acts as the execution bridge, so the strategy logic is entirely up to you.
To achieve this in Python, a trader should have basic knowledge of:
pandas – handling and analyzing tabular data.
Technical indicators – using pandas_ta or TA-Lib.
Web scraping / API usage – fetching fundamental data from screener websites, company filings, or even news portals.
Conditional logic – writing rules like “Buy if RSI < 30 AND P/E < 15”.
If you are not comfortable coding, OpenAlgo Custom GPT can help generate such strategies for you. You can even prompt it to fetch fundamentals via scrapers and combine them with technical signals.
Yes , there are safeguards, but they work at multiple levels.
OpenAlgo has built-in rate limits, and brokers also enforce their own rate limits on top of that.
OpenAlgo also comes with an in-built API Analyzer, which helps you test strategies, validate orders, and catch potential errors before going live.
Traders can (and should) add extra protection inside their strategy:
Risk limits – set maximum daily loss, position size, or trade count.
Validation checks – verify order price, quantity, and symbol before sending.
Error handling – handle exceptions in Python to prevent unwanted trades.
Dry-run / paper trading – always test before deploying live.
The advantage of OpenAlgo is that you have 100% access to the source code, so you can design safeguards the way you want. With OpenAlgo Custom GPT, even non-coders can build strategies that include these protections.
Date & Time: 26th September 2025 | 2:30 – 3:30 PM IST
Watch Live on YouTube: https://youtube.com/live/jPWXxP3MmxM
Live AMA with Rajandran R
Don’t miss this chance to interact directly, ask your questions, and share your thoughts with Rajandran!
