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Python for Algorithmic Trading – Professional Beginner’s Guide: eBook

Original price was: ₹1,500.00.Current price is: ₹300.00.

Learn algorithmic trading using Python — from basic programming to live broker-connected strategies.
This book teaches Python foundations, trading logic, technical indicators, backtesting, risk management, and full intraday algo implementation in a step-by-step manner.

Perfect for traders, beginners, and Python developers.

Python for Algorithmic Trading is a step-by-step, beginner-to-advanced guide that teaches how to build real, working algorithmic trading systems using Python — starting from core Python fundamentals and ending with live broker-connected trading algorithms.

This book is specially written from a trader’s perspective, not a generic Python textbook. Every concept is explained with market examples, trading logic, and real-world usage so that anyone can confidently move from manual trading to fully automated trading.


📑 What This Book Covers (Structured as Your TOC)

🔹 PART 1 – Python Foundations for Traders

Learn Python only what traders need, explained using trading concepts like symbols, expiry, market data, and logs.

✔ Why Python is best for algorithmic trading
✔ Python environment setup (step-by-step)
✔ Variables, data types & operators for trading logic
✔ Input/output for strategy configuration
✔ Strings, lists, tuples, sets & dictionaries with broker API use cases


🔹 PART 2 – Core Programming Logic for Algo Traders

Understand the brain of algorithmic trading systems.

✔ Conditional logic for entry & exit rules
✔ Loops for scanning candles and market data
✔ Functions for reusable strategy blocks
✔ Variable scope & memory (common algo bugs)
✔ Error handling to protect live trading
✔ Debugging techniques used by professional algo traders


🔹 PART 3 – Real Algorithmic Trading Strategies

Build actual trading strategies in Python, not just theory.

✔ Market data concepts (OHLC & Candles)
✔ SMA and VWAP based strategies
✔ Stop loss, target & trailing stop loss logic
✔ Backtesting fundamentals before live trading
✔ Risk & money management with position sizing
✔ Combining indicators for professional strategies
✔ Trade logging & reporting (industry standard)


🔹 PART 4 – Advanced Algo Trading Strategies

Move towards professional-level automation.

✔ Advanced indicators: EMA, RSI, MACD
✔ Strategy optimization & parameter tuning
✔ Connecting Python algorithms to live broker APIs
✔ Live market data handling & session management


🔹 PART 5 – Full Algo Trading Implementation

See how everything comes together.

✔ Complete intraday algorithm – full Python code
✔ End-to-end professional algo trading workflow


🎯 Who This Book Is For

  • Beginner traders wanting to learn algo trading from scratch

  • Manual traders aiming to automate their strategies

  • Python learners interested in financial markets

  • Algo traders working with NSE, BSE, Cash & F&O

  • Developers building real trading bots, not just backtests


🚀 Why Buy This Book?

✔ Written from a trader’s mindset
✔ Focuses on live trading readiness
✔ Covers both coding + trading logic
✔ No unnecessary theory — practical implementation only
✔ Ideal for single-user personal algo trading

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