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AI Trading Accelerator: From Prompt to Automated Strategy

A 5-day live course on running an AI research factory for trading, from prompt to automated Tradetron strategy, with no coding.

Enrol now · ₹2,999.56 incl. GST

Beginner New

Taught by Huzefa Kudrati · Runs Tradetron's live courses on strategy building and AI

Tradetron team

Course fee

₹2,999.56incl. GST

STARTS

19 Oct 2026

SCHEDULE

5 evenings · 7 PM

WHERE

Zoom · live

LANGUAGE

English

Included with the course

5 live Zoom sessions, Mon to Fri, 7 to 8 PM IST

Session recordings in TT Uni within 24 hours

A hands-on homework project after every session

Support via WhatsApp group and [email protected]

What you'll learn

Write prompts that return usable answers, using an 8-part framework for role, market, timeframe, risk rules and output format
Understand how LLMs work (tokens, embeddings, prediction) so you know why a prompt succeeds or fails
Choose the right AI model for each trading task, including free models through OpenRouter
Turn 10 years of OHLC data into testable ideas with occurrence counts, median outcomes and MFE/MAE
Generate and debug TradingView Pine Script indicators and strategies without writing code
Judge an edge with the MFE/MAE ratio, then check it with in-sample and out-of-sample testing
Automate TradingView alerts into Tradetron using webhooks and the L, LX, S, SX variables
Connect Claude or ChatGPT to Tradetron via MCP and build strategies from plain-English prompts

What we'll cover

5 live sessions · times in IST

DAY 1Day 1 - AI Foundations and Prompting for Traders

Welcome and the research factory mindset
How generative AI actually works
The prompt framework for traders
Getting trade ideas from historic data and charts
Homework and how the course runs

DAY 2Day 2 - Choosing LLMs and Building TradingView Indicators

Recap and which LLM to use
What a TradingView indicator really is
Six stages of backtesting with an indicator
From hypothesis to Pine Script
Homework 2

DAY 3Day 3 - Measuring Edges with MFE/MAE and Building Strategies

Fix Pine errors the smarter way with Markdown
Beyond the six stages: the MFE/MAE ratio
Testing across instruments, timeframes and settings
Indicator or strategy? Research or automate?
From indicator data to a strategy, plus custom GPTs and NotebookLM

DAY 4Day 4 - Automating TradingView Alerts with Tradetron

Why automate, and why combine TradingView with Tradetron
Alerts, webhooks and the Tradetron strategy construct
API mode and JSON
Pine comments and placeholders
The eight-step workflow and first look at MCP

DAY 5Day 5 - Building Tradetron Strategies with MCP and Sizing Your Portfolio

Connect Tradetron MCP to Claude or ChatGPT
Spot the mistakes: how a Tradetron strategy is built
Live builds with MCP
Validate before you trust: parameters and in-sample testing
Sizing an algo portfolio and your 30-day plan

Recordings are added after each session for enrolled learners.

About the course

Most traders use AI to ask for tips. Professional desks use it to run a research factory: idea, research, validate, automate, scale, feedback, repeat. This 5-day live course teaches you to run that same loop yourself, with no coding, using ChatGPT, Claude, TradingView and Tradetron. Over five evenings (Monday to Friday, 7 to 8 PM IST) you will learn how language models actually work and how to prompt them like a quant, turn ten years of OHLC data into testable ideas, generate TradingView indicators and strategies with Pine Script, measure edges with occurrence counts, medians and MFE/MAE, and wire TradingView alerts into Tradetron through webhooks. On the final day you connect Claude or ChatGPT directly to Tradetron using MCP and build strategies from plain-English prompts. Every session ends with a hands-on homework project, and every session is recorded and available in TT Uni within 24 hours, so you never fall behind. You also learn how to sanity-check what AI builds, because AI can make mistakes and the trader who understands the basics is the one who spots them. Your instructor, Huzefa Kudrati (CMO at Tradetron and an AI generalist), has run 47+ advanced strategy-building course batches. This course is educational only: it gives no tips or buy/sell calls, promises no returns, and uses historical examples that are more than three months old.

Your instructor

Huzefa Kudrati

Tradetron team 6 courses144 learners

Huzefa Kudrati has been trading the markets since 2018. As a key member of Tradetron's support team he has delivered hundreds of strategy projects and helped traders turn their ideas into working strategies. He has built many strategies and YouTube tutorials on Tradetron, across equities, derivatives and crypto, and is known for explaining complex ideas with...

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Frequently asked questions

Do I need coding or AI experience?

No. The course is built for traders, not programmers. You will use ChatGPT, Claude, TradingView and Tradetron through prompts and point-and-click setup, and we explain every concept from scratch, including what an LLM is and how Pine Script fits in. Basic familiarity with trading terms (options, stop-loss, backtest) and a free TradingView account are all you need.

When are the sessions and what is the schedule?

The cohort starts on Monday, 19 October 2026 and runs Monday to Friday, 7:00 to 8:00 PM IST. Day 1: AI basics and prompting. Day 2: choosing AI models and building TradingView indicators. Day 3: measuring edges with MFE/MAE and building Pine strategies. Day 4: automating TradingView alerts into Tradetron. Day 5: building Tradetron strategies with MCP and sizing a portfolio.

What if I cannot attend live? Will I get recordings?

Yes. Every session is recorded and added to your course in TT Uni within 24 hours. Log in to TT Uni, open your AI course batch and press start on the session. Most learners watch recordings at 1.5x to 2x speed and then attempt the homework, which is where the real learning happens.

Which tools and accounts do I need?

You will need a laptop or desktop, a Tradetron account, a free TradingView account, and access to an AI assistant such as ChatGPT or Claude. A TradingView paid plan is useful for webhook alerts on Day 4. Day 5 uses the Tradetron MCP connector with Claude or ChatGPT; the exact setup steps are shown live. We also show free model options via OpenRouter.

Will this course give me trading tips or guarantee profits?

No. This is an education course. There are no buy or sell calls, no stock picks and no promised returns. You learn a repeatable process to research, test and automate your own ideas. All examples use historical data that is more than three months old, and past performance does not guarantee future results. Algo trading carries risk.

Is the live session link the same every day?

Yes. The Zoom link stays the same for all five sessions and is shared in the course WhatsApp group once you enrol. If you need help with Zoom or access, write to [email protected] or tag Farhan in the WhatsApp group.

Is the homework compulsory?

It is not graded, but it is the most important part of the course. Each project builds on the last: define a hypothesis, build an indicator, turn it into a strategy, link it to Tradetron, then build one strategy with the MCP connector. Learners who finish the homework leave with a working research-to-automation pipeline.

Does this work for people outside options trading?

Yes. The research method (hypothesis, data, MFE/MAE, in-sample and out-of-sample checks) applies to indices, stocks and other instruments. Many examples use Nifty and BankNifty because most Tradetron users trade them, but you can run the homework on any instrument you follow.

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Course fee

₹2,999.56incl. GST

₹2,542 + ₹457.56 GST

Enrolment closes Mon 19 Oct, 5:00 PM IST

₹2,999.56 incl. GST. Uses your Tradetron account.

After you enrol, your Zoom links, WhatsApp community and session calendar appear in My courses.