AI in Stock Market Course
Understand how artificial intelligence, statistics and Python are used to study financial markets. A beginner friendly, step by step educational program with a strong focus on risk management.
Course at a glance
- LevelBeginner to Intermediate
- Modules8
- ModeOnline, self paced
- LanguageEnglish and Hindi
- SupportWhatsApp and email
Why learn AI for stock market analysis
Markets are driven by data. Understanding how that data is processed gives you a clearer, more disciplined way to study them.
Data over guesswork
Learn to study price, volume and trends with numbers instead of rumours and social media noise.
Understand AI tools
Know what machine learning models really do, so you can judge apps and signals that claim to use AI.
Test before you trust
Backtest ideas on historical data and see how they behave before any real money is involved.
Risk comes first
Understand drawdown, position size and why protecting capital matters more than any single trade.
About this course
Every day, markets produce enormous amounts of price and volume data. Analysts use statistics and machine learning to organise that data, test ideas and measure risk.
This course explains those methods from the ground up. You learn what each tool can do, where it fails, and why no model can predict the market with certainty. The aim is to help you think clearly and make informed decisions on your own.
- Plain language explanations with real chart examples
- Hands on practice using Python and free data sources
- Honest coverage of risk, drawdown and overfitting
- Doubt clearing support throughout the course
What you will study
Three learning tracks that build on each other.
Market and data foundations
Exchanges, orders, indices, candlestick charts, indicators and reading market data correctly.
AI and Python for analysis
Machine learning basics, data cleaning with Pandas, building features and simple models.
Testing and risk management
Backtesting, performance metrics, position sizing, drawdown control and trading discipline.
Course syllabus
Click on a module to see the topics covered.
Module 1: Introduction to financial markets
- Equity, futures and options in simple terms
- Indices, sectors and market participants
- Market timings, order types and liquidity
Module 2: Technical analysis foundations
- Candlesticks, trends, support and resistance
- Moving averages, RSI, MACD and volume
- Strengths and limits of indicators
Module 3: Statistics for market analysis
- Returns, volatility and correlation
- Probability and expected value
- Normal distribution and its limits in markets
Module 4: Introduction to AI and machine learning
- Supervised and unsupervised learning
- Features, training data and test data
- Regression, classification and clustering
Module 5: Python for market data
- Setting up Python and Jupyter
- Pandas for historical data and cleaning
- Plotting charts and basic calculations
Module 6: Building and backtesting a model
- Turning an idea into a testable rule
- Performance metrics and equity curve
- Overfitting, look ahead bias and other mistakes
Module 7: Risk and money management
- Position sizing and risk per trade
- Drawdown, stop loss logic and capital protection
- Trading psychology and keeping a journal
Module 8: Regulations and responsible trading
- SEBI framework and basics of taxation
- Recognising scams and false promises
- Building a long term learning process
What is included in the course
Everything you need to learn, practice and clear your doubts.
Video lessons
Step by step lessons that explain each concept with live chart examples.
Python notebooks
Ready to run code files so you can practice along and modify them yourself.
Practice assignments
A short task at the end of every module to apply what you have learned.
Study notes
Simple revision notes and checklists for quick reference.
Doubt support
Ask your questions on WhatsApp or email and get clear answers.
Flexible schedule
Learn at your own pace, at a time that suits your routine.
Course inclusions may be updated from time to time. Contact us for the current list before enrolling.
What you will be able to do
By the end of the course you will have practical, foundational skills.
Read and analyse market data
Load historical data, clean it and visualise it with charts.
Understand how AI models work
Explain features, training, testing and the basic ML techniques used in finance.
Build and test a simple model
Create a rule based or ML idea and measure it with proper metrics.
Manage risk properly
Apply position sizing and drawdown rules in a structured plan.
Traditional analysis vs AI assisted analysis
A quick comparison to understand where AI fits in.
| Area | Traditional | AI assisted |
|---|---|---|
| Data used | Mostly price charts | Large datasets, many variables |
| Pattern finding | Manual, by eye | Statistical and automated |
| Testing | Limited, subjective | Systematic backtesting |
| Main risk | Emotional bias | Overfitting and bad data |
AI is a research tool. It does not remove market risk or guarantee any result.
Tools you will use
All tools are free or have free versions, so you can practice without extra cost.
Who should join
- Beginners who want a clear starting point
- Students and professionals interested in AI and finance
- Traders who want to understand data driven methods
How to get started
Four simple steps.
1. Send enquiry
Fill the form or message us on WhatsApp.
2. Get details
We share the syllabus, fee and access terms.
3. Enrol
Confirm enrolment and receive access.
4. Learn and practice
Complete modules and ask doubts anytime.
Frequently asked questions
Quick answers before you enquire.
Is this a stock tips or advisory service?
No. This is an educational program only. We do not give buy or sell calls, tips or portfolio advice.
Can I expect guaranteed profits?
No. Trading carries risk and results differ for everyone. We do not promise or guarantee any income or returns.
Do I need to know coding?
No. Python is taught from the very basics.
How long will I have access?
Access duration and fees are shared clearly before enrolment. Please contact us for current details.
What is the refund policy?
Please read our Refund Policy before enrolling.
Is Supernova CX registered with SEBI?
Supernova CX is an education provider. It is not a SEBI registered investment adviser or research analyst, and nothing on this site is investment advice.
Ready to learn how AI is used in markets?
Send us your details and we will share the full syllabus and enrolment information.
Enquire NowContact us
Have a question about the course? Reach us on any of these and we will reply within one working day.
+91 80525 34128
+91 80525 34128
info@supernovacx.com
Supernova CX, 28/3 Vidya Nagar, Yelahanka, Bengaluru, Karnataka 562157, India
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