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20 April 2026 Market Analysis & 21 April Trading Setup | Quant Zen With Surbhi
In this video, I share the research-based post-market analysis of 20 April 2026 and algorithmic trading setups for 21 April 2026 (Tuesday) based on my ongoing models.
In today’s video:
* Detailed review of what happened on 20 April in our 30-stock universe and options
* Key levels, momentum observations, and risk factors from the research algorithm
* Probability-based algorithmic setups and scenarios for 21 April trading
All analysis is generated from my research algorithms focused on improving risk management in algorithmic trading. This is not financial advice — it is transparent research observation only. Markets can move differently, and I will openly discuss any deviations in future videos.
If you value data-driven, calm, and quantitative market insights, hit Like, Subscribe, and turn on notifications for daily updates.
Comment below with your views on 21 April setup!
Stay Zen!
I break down the upcoming market setup using a research-backed quantitative approach.
This is not guesswork — every setup is based on logic, data, and backtested strategies used in algorithmic trading.
📊 What you’ll learn:
- Weekly market direction (bullish or bearish bias)
- High probability trading setups
- Key levels for intraday & swing trading
- Quant-based approach vs emotional trading
- How to think like a systematic trader
💡 Background:
IIT PhD | Algorithms + Finance
Economics State Topper | GATE Qualified | CLAT Cleared
If you want to move from random trading to structured decision-making, this channel is for you.
⚠️ Disclaimer:
This content is for educational purposes only. Not financial advice.
#AlgorithmicTrading #QuantTrading #StockMarketIndia #TradingStrategy #IntradayTrading #SwingTrading #Nifty #BankNifty #AlgoTrading #PythonForFinance #DataScience #financeindia
#QuantZen #StockMarketAnalysis #NiftyAnalysis #AlgoTrading
Видео 20 April 2026 Market Analysis & 21 April Trading Setup | Quant Zen With Surbhi канала Surbhi Verma | IIT PhD | Quant Trading India
In today’s video:
* Detailed review of what happened on 20 April in our 30-stock universe and options
* Key levels, momentum observations, and risk factors from the research algorithm
* Probability-based algorithmic setups and scenarios for 21 April trading
All analysis is generated from my research algorithms focused on improving risk management in algorithmic trading. This is not financial advice — it is transparent research observation only. Markets can move differently, and I will openly discuss any deviations in future videos.
If you value data-driven, calm, and quantitative market insights, hit Like, Subscribe, and turn on notifications for daily updates.
Comment below with your views on 21 April setup!
Stay Zen!
I break down the upcoming market setup using a research-backed quantitative approach.
This is not guesswork — every setup is based on logic, data, and backtested strategies used in algorithmic trading.
📊 What you’ll learn:
- Weekly market direction (bullish or bearish bias)
- High probability trading setups
- Key levels for intraday & swing trading
- Quant-based approach vs emotional trading
- How to think like a systematic trader
💡 Background:
IIT PhD | Algorithms + Finance
Economics State Topper | GATE Qualified | CLAT Cleared
If you want to move from random trading to structured decision-making, this channel is for you.
⚠️ Disclaimer:
This content is for educational purposes only. Not financial advice.
#AlgorithmicTrading #QuantTrading #StockMarketIndia #TradingStrategy #IntradayTrading #SwingTrading #Nifty #BankNifty #AlgoTrading #PythonForFinance #DataScience #financeindia
#QuantZen #StockMarketAnalysis #NiftyAnalysis #AlgoTrading
Видео 20 April 2026 Market Analysis & 21 April Trading Setup | Quant Zen With Surbhi канала Surbhi Verma | IIT PhD | Quant Trading India
algorithmic trading India stock market India trading strategy India intraday trading India Nifty analysis Bank Nifty analysis algo trading strategies Python trading trading with data science backtesting trading strategies quantitative trading stock market analysis India trading setup India finance coding India machine learning trading IIT PhD trading trading psychology India systematic trading India beginner trading India
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21 апреля 2026 г. 4:42:42
00:47:26
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