๐ŸŽ“ PhD research-based learning

Where Artificial Intelligence meets the Stock Market

A free Android app that explains AI, Machine Learning, Deep Learning, Reinforcement Learning and Algorithmic Trading in clear, beginner-friendly lessons. Everything works offline.

โœจ The app by Mr. Nagesh Anand Goden

11Learning modules
90+Topics
4Calculators
100%Offline

About the app

Research concepts, made simple

AI Market Research turns PhD research on AI and algorithmic trading into useful, easy-to-understand information for students, researchers, traders, investors and anyone curious about AI in finance.

๐Ÿ“š

11 learning modules

From market data and technical indicators to deep learning, risk management and future research.

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AI & ML explained

Linear Regression, SVM, Random Forest, KNN, ANN, CNN, LSTM, Transformers and Reinforcement Learning.

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PhD Research section

Overview, objectives, methodology, models, strategy engine, backtesting, limitations and future scope.

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Useful calculators

Risk/Reward, Position Size, CAGR and SIP, with input checks and the formula shown for each.

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Important market links

Quick access to official resources: SEBI, SEBI SCORES, NSE, BSE, investor education and company filings.

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Search & bookmarks

Find any topic instantly and save favourites to read later. No login, no ads, no data collected.

Research architecture

How AI-based trading research fits together

The app follows the complete pipeline studied in the research, from data to risk-managed decisions.

Market Data Sourcesโ†’ Data Preprocessingโ†’ Feature Engineeringโ†’ AI/ML Modelsโ†’ Trading Strategy Engineโ†’ Risk Managementโ†’ Order Execution

Inside the app

11 research-based modules

Each module is split into short topics with definitions, formulas, key ideas, comparison tables and limitations.

01

Introduction to Algorithmic Trading

What it is, how it works and where AI fits in

02

Market Data

OHLC, volume, order book, news and sentiment

03

Data Preprocessing & Feature Engineering

Cleaning, scaling, lagged features, PCA, data leakage

04

Technical Indicators

MA, RSI, MACD, Bollinger Bands, Stochastic, Volume

05

Machine Learning in Stock Market

Linear Regression, SVM, Random Forest, KNN

06

Deep Learning

ANN, CNN, LSTM and Transformer

07

Reinforcement Learning

Agent, environment, state, action, reward, policy

08

Algorithmic Trading Strategies

Trend, mean reversion, stat-arb, market making, AI

09

AI-Based Stock Prediction

Concepts, evaluation, overfitting & generalisation

10

Risk Management & Backtesting

Stop loss, position sizing, drawdown, Sharpe ratio

11

Challenges, Limitations & Future Research

Overfitting, drift, explainability and whatโ€™s next

โš ๏ธ Educational & research use only

AI Market Research does not provide investment advice or buy/sell recommendations, does not execute trades and does not connect to any broker. AI/ML models can be wrong, and past or backtested performance does not guarantee future results. Please verify information independently and consult a SEBI-registered professional before investing. External websites belong to their respective organisations; this app is not affiliated with or endorsed by them.