🤯 Algo Trading for Retail traders : The power of AI | Aseem singhal and Akshay Gulati | Podcast

Episode 3 : 2025 is going to be the year for Algorithmic traders and in this Learncast Podcast, Aseem singhal discusses the real power of Algo trading and ways of using AI for your day to day retail trading. Aseem has also discussed the exact steps to become an Algo Trader. Listeners can utilise the benefit of understanding the big players, their algos, and technology in trading and be at par with them.

🔴 Get a chance to learn with Aseem singhal Live
🔗 Register for the Free Masterclass : https://tfu.bio/register-for-free-algo-trading-masterclass-with-aseem-singhal

In the frame:
Host : Akshay Gulati – Founder of The Future university.
Guest : Aseem singhal – India’s largest Algo trader. 10+ years of experience.

What you will discover in the video:
1. ✅ Extremely efficient stock market setups that work on to building huge portfolios 💰
2. 💻Complete understanding of Algo trading from Zero to Hero. Listeners can start their Algo trading journeys in just 60 minutes ⏳
3. 🕵🏻‍♂️ The real story of Aseem singhal and his success mantras for Options Trading. 📈

0: 01 Introduction.
00: 02: 21 Journey of Assem Sir
00: 07: 40 How to be a better Trader.
00: 13: 27 What is Rule-Based Trading.
14: 32: Utilizing the power of AI
17: 25 Steps to start Algo trading.
21: 45 What is a Good Strategy.
24: 26 How to start
25: 37 Moving Average Cross Over
27: 38 Time Drawdown
28: 40 Backtesting
30: 00 Using ChatGPT to code the strategy in PYTHON
35: 05 Executing the Python code
36: 32 Using ChatGPT to code the strategy in Pinescript
37: 08 Using the Pinescript Code in Trading View.
40: 05 High-Impact Strategies for Managing Capital of ₹70-80 Crore
41: 05 Dow Theory
44: 52 Using Dow Theory in Intraday
47: 09 Automation of Swing Low and and Swing Highs
48: 55 PnL
49: 42 Advantaged of Algo Trading
50: 50 Drawdown
51: 38 How to use Idea Intelligent.
55: 20 Money Management Rules
56: 14 How can you start now with Algo Trading
56: 58 Free Masterclass on Algo Trading
56: 15 Who should not be a trader and closing remarks.

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