Data For Traders

🚀 Algo Trading Live Bootcamp: Python, APIs & AI Tools

📅 New Batch Starting from 9th May 2026

Most people come to me with AI-generated trading code that looks complete ,but breaks in real use.
The issue isn’t AI — it’s lack of core understanding.

👉 In this course, you’ll learn Python the right way — and how to use AI tools smartly to build real trading systems.




Here you’ll learn how to build, test, and deploy real trading systems using Python — with smart use of AI tools throughout the course.
Instead of teaching AI as theory, we use it practically in every stage:

☑️ Generate & debug trading code faster
☑️ Build indicators & strategies efficiently
☑️ Improve development speed and workflow
☑️ Learn where AI helps — and where it fails

📌 Course Details

💸 Fees: ₹25,000
🎁 Bonus: FREE access to my Membership Plan (Worth ₹4,999)
🎙 Language: Hindi

📆 Schedule:
• Saturday & Sunday – 11:00 AM to 1:00 PM
• Wednesday – 7:00 PM to 9:00 PM

⏳ Duration: 8 Weeks | 24 Live Sessions
🎥 Recordings: Available for all sessions (revise anytime)

🧠 What You Will Learn

🔹 Part 1 – Python for Algo Trading
Learn Python the trader’s way — loops, functions, threading, datetime, classes, and real data handling.

🔹 Part 2 – Pandas & Technical Analysis
Work with market data using Pandas/Polars, calculate indicators (SMA, EMA, RSI, MACD etc), and generate trading signals.

🔹 Part 3 – Broker API & Live Execution
Connect to broker APIs, place live orders, manage positions, and stream real-time data via WebSocket.

🔹 Part 4 – Strategy Building & Automation
Build complete automated trading systems:
☑️ Signal → Execution → Risk Management
☑️ Deploy your own live trading bot

📲 Book Your Seat / Queries

💬 Telegram: @datafortrader
📞 WhatsApp: +91-7376829691

1 month ago | [YT] | 4

Data For Traders

🚀 Python Algo Trading Live Course – New Batch Starting 7th February

⚠️ Final 24 Hours

I just need 2 more learners to complete this batch 😃
If you want to level up your algo trading knowledge, this is your last chance to join.


📩 DM now
Telegram: @datafortrader
WhatsApp: +91-73768-29691

4 months ago (edited) | [YT] | 1

Data For Traders

🚀 Python Algo Trading Live Course – New Batch Starting 7th February

After the successful pilot batch in November, registrations are now open for the next live batch of my Python-based Algorithmic Trading program in Hindi.


📌 Course Details

💸 Fees: ₹25,000
🎙 Language: Hindi
📆 Schedule:
• Saturday & Sunday – 11:00 AM to 1:00 PM
• Wednesday – 7:00 PM to 9:00 PM

⏳ Duration: 8 Weeks | Total Classes: 25 Live Sessions
🎥 Class Recordings: All recorded videos will be available , so you can re-watch anytime or catch up if you miss a class.

🧠 What You Will Learn
🔹 Part 1 – Python for Algo Trading

Learn Python the way traders actually use it — data types, loops, functions, CSV/JSON handling and Pandas.
(If everyone already has basic Python knowledge, this section will be fast-tracked.)

🔹 Part 2 – Technical Analysis with Pandas & Pandas_TA

Calculate indicators like SMA, EMA, RSI, MACD, generate trade signals and perform basic backtesting on historical data.

🔹 Part 3 – Broker API & Live Market Data

Work with broker APIs to place orders, fetch positions and stream live ticks using WebSocket.

🔹 Part 4 – Strategy Building & Automation

Build complete automated trading strategies with risk management and deploy your own trading bot.

📲 Book Your Seat / Queries

💬 Telegram: @datafortrader
📞 WhatsApp: +91-73768-29691

5 months ago | [YT] | 1

Data For Traders

📽 Topic:  Build & Run Breakout Strategy in Zerodha Using Python (Part 2)

In Part 2 of the Simple Breakout Strategy in Zerodha series, we move from theory to code!
Here, I explain the complete Python implementation of the breakout logic — marking high and low levels, detecting price breakouts, and executing trades through the Zerodha API.
You’ll see how the logic flows in real-time with live market data, making it easier to connect the concept with execution.


To know more about this watch   below video:

🛑 Python for Algorithmic Trading  ->  Zerodha -> Breakout Strategy Automation in Zerodha | Part 2

📽 Sign up to Watch now 👉 learn.datafortraders.in/learn/home/Algorithm-tradi…


Contact us:
📧 Email: datafortrader@gmail.com
💬Telegram :  @datafortrader
X (Twitter) :  @traders_data

7 months ago | [YT] | 1

Data For Traders

Here’s everything you’ve been asking for 👇

💸 Course Fee: ₹25,000

🎙Language: Hindi

📆 Schedule: 3 live classes per week (each ~2 hours) . Start from 1st week of November

👨‍🏫 Batch Size: Only 6 students (so you get personal attention)

🧠 What You’ll Learn (Brief Syllabus):

📍 Part 1 – Python for Algo Trading ( if all member have basic knowledge we can skip this part and focus in more depth on others part )
Start from zero and learn Python step-by-step, focusing on concepts traders actually use — data types, loops, functions, working with CSV/JSON, and powerful data handling with Pandas.

📍 Part 2 – Technical Analysis with pandas & pandas_ta
Analyze historical data, calculate popular indicators (SMA, EMA, RSI, MACD), generate trade signals, and even do basic backtesting — all with Python.

📍 Part 3 – Broker API & Live Data
Learn how to connect with broker APIs, place live orders, fetch positions, and stream live market data using WebSocket — the real-world backbone of any automated trading system.

📍 Part 4 – Strategy Building & Automation
Put it all together! Build and automate complete indicator-based trading strategies, handle risk management, and run your own trading bot end-to-end.



For any Query or book your slot contact me:

💬Telegram : @datafortrader
📞 Whatsapp : +917376829691

8 months ago (edited) | [YT] | 0

Data For Traders

In 2024, I launched my paid courses and the feedback was amazing . But there was one question that popped up again and again:
“Can we have live classes too? It’s way easier to bully you with doubts in real time.” 😄

Well… wish granted. Starting first week of November, I’m going live for the first-ever online classes.
And since this is my pilot batch, I’m keeping it super small — just 6 students — so I can actually help you instead of just reading questions like a chatbot.

Here’s the best part: I’m not forcing a fixed syllabus down your throat. We’ll decide the broker, course flow, and pace together — mutual consensus, democratic style. Whatever the group chooses, that’s exactly what I’ll teach.

8 months ago | [YT] | 0

Data For Traders

🎆 DIWALI SPECIAL OFFER 🎆
Master Algorithmic Trading — Now at ₹2699 (10% OFF!)

This festive season, gift yourself the skill that pays for a lifetime. My Algorithmic Trading Mastery Course is now available at a special Diwali price — ₹2699 (was ₹2999) for a limited time.




Here’s what you’ll master:
🔹 Python for Trading Automation – Learn only the essential Python concepts used in real-world algo trading.
🔹 Build Trading Strategies on India’s Top Brokers – Automate strategies on Zerodha, Angel One, Fyers, and Finvasia step-by-step.
🔹 Backtest Like a Pro – Design and backtest positional & intraday strategies to validate your ideas before going live.



🎁 Offer valid this Diwali week only!
Link to Register: learn.datafortraders.in/learn



Contact us:
📧 Email: datafortrader@gmail.com

8 months ago (edited) | [YT] | 2

Data For Traders

We’re moving from Swing (Daily) strategies to Intraday Backtesting in the series!

This time, I want your input 👇
Suggest your favorite Stock (not Options) Intraday Trading Strategies and I’ll implement & backtest them in Python.

📌 To keep it simple, I’ll only consider comments made on X x.com/traders_data
So make sure you’re following me there and drop your strategy idea!

9 months ago | [YT] | 3

Data For Traders

Happy Independence Day, Traders ! Celebrate freedom with knowledge—our DFT Membership plan (Algorithmic Trading Course, Backtesting Course) , usually cost ₹2999, is now available for just ₹2699 today. Checkout 👉 learn.datafortraders.in/learn

10 months ago (edited) | [YT] | 4

Data For Traders

🌸✨ Celebrating the beautiful bond of love & protection!
Wishing all my subscribers a joyful and blessed Raksha Bandhan 💛
— Data for Traders

10 months ago | [YT] | 3