This presentation is from a power-packed webinar on AI-driven trading and automation, bringing together leading experts and a community of over 6000 traders, analysts, developers, and students. Session 2 features a hands-on experience with Akshay Choudhary and Varun Pothula, who demonstrate how to build and deploy real-world trading bots using Python and Pine Script on MetaTrader5 and TradingView. Participants got the chance to interact live with experts, ask questions, and gain practical, actionable skills in automated trading—making this webinar a useful resource for anyone serious about the future of trading technology. About the Author: Varun is a Quantitative Analyst at QuantInsti, holding a Master's in Financial Engineering. He has worked as a trader, global macro analyst, and algo trading strategist. Currently, he plays a key role in the Content & Research Team at QuantInsti, helping learners worldwide in the algorithmic & quantitative trading domain.

1. Why Use Python
to Automate Your Trading?

2. Python for Trading
Python is open-source and easy-to-learn
Great for financial analysis, backtesting,
and automation
Widely used by traders and data
scientists

3. Benefits of Python in Trading Automation
Speed & Efficiency:
Automates repetitive tasks.
Libraries & Tools:
Pandas, NumPy, Matplotlib for data manipulation.
Integration:
Easily integrates with APIs (e.g., MT5, Alpaca, IB)

4. Trading Applications
Backtesting Strategies: Test strategies using historical data.
Algorithmic Trading: Automate trading decisions in real-time.
Machine Learning for Trading: Use AI models to predict price movements.

5. Connect Python with MetaTrader 5
to get data, place orders, and
monitor open positions

6. Step 1: Establish Connection
Broker /
Platform
Python
Credentials
Success

7. Step 2: Get the Data
Broker /
Platform
Python
Data

8. Step 3: Apply the Trading Logic
Broker /
Platform
Python
Data
Process
Technical Indicators,
Machine Learning

9. Step 4: Generate Trading Signals
Broker /
Platform
Python
Data
Process
Technical Indicators,
Machine Learning
Buy
Sell
Trading Signals

10. Step 5: Place the Order
Broker /
Platform
Python
Confirmation
Process
Technical Indicators,
Machine Learning
Buy
Sell
Trading Signals
Orders

11. Overview of the Process
Broker /
Platform
Python
Data
Process
Technical Indicators,
Machine Learning
Buy
Sell
Trading Signals
Orders

12. Example Implementation: MT5

13. Step 1: Establish Connection
Broker /
Platform
Python
Data
Process
Technical Indicators,
Machine Learning
Buy
Sell
Trading Signals
Orders

14. Step 1: Establish Connection

15. Step 2: Get the Data
Broker /
Platform
Python
Data
Process
Technical Indicators,
Machine Learning
Buy
Sell
Trading Signals
Orders

16. Step 2: Get the Data

17. Step 3: Apply the Trading Logic
Broker /
Platform
Python
Data
Process
Technical Indicators,
Machine Learning
Buy
Sell
Trading Signals
Orders

18. Step 4: Generate Trading Signals
Broker /
Platform
Python
Data
Process
Technical Indicators,
Machine Learning
Buy
Sell
Trading Signals
Orders

19. Step 4: Generate Trading Signals

20. Step 5: Place the Order

21. Step 5: Place the Order