10-Minute Trading Strategy for Busy Professionals

Most 9-to-5 office goers barely get time to check the markets during the day. You’re probably juggling office work, deadlines, meetings, and by the time you look at stock charts, the day is almost over.

That doesn’t mean trading is out of reach. What you really need is a strategy that:

• doesn’t demand staring at the screen all day,
• doesn’t require 50 indicators,
• keeps risks contained, and
• takes less than 10 minutes a day to execute.

One such strategy has been around for years, popularized by Mr. Mahesh Chander Kaushik, a financial educator on YouTube. It’s often called the “Nifty Ki Dukaan (NIFTY SHOP)” strategy. And the beauty of it? You only need to check prices between 3:20 pm and 3:30 pm every day. That’s it.

The Idea Behind the Strategy

If you're someone who wants to build long-term wealth, but can’t stare at stock charts all day—this strategy is tailor-made for you. The NIFTY SHOP strategy is a smart, simple, and disciplined way to invest in India’s top 50 companies—the most stable, well-known names in the stock market—only when they go on sale.

The NIFTY 50 index consists of India’s top 50 blue-chip companies—large caps with high market capitalization, liquidity, and strong fundamentals. These stocks rarely go bust and tend to bounce back even after corrections. That’s what makes them perfect for this “buy-the-dip” style strategy.

The Premise

Catch strong stocks when they fall, average them smartly, and sell when they bounce back.

The idea is simple:

• Buy quality stocks only when they fall significantly below their short-term average.
• If they fall further, average down smartly to reduce your cost price.
• Sell when your stock gives you a healthy profit.

All this while limiting your daily actions to just 15 minutes a day, around 3:20 PM IST.

Entry Rules (Buying Logic)

Every trading day:

1. Scan the NIFTY 50 and rank stocks based on how much they have fallen below their 20-Day Moving Average (20DMA).
2. Pick the bottom 5 stocks from this scan (the most oversold ones).
3. From these, buy a maximum of 1 stock per day, only if they are not already in your portfolio.
4. If all 5 are already in your portfolio (you’re holding them), initiate the Averaging Process (explained below).

Averaging Process (Smart Down Averaging)

If you aren’t buying any new stocks (because you already hold the bottom 5), you’re allowed to average down one existing position per day:

1. From your holdings, find stocks that are currently more than 3% down from their last buy price.
2. Among those, pick the worst-performing one and buy one more lot.
3. Only 1 averaging buy per day.

This helps you lower your average purchase price in a falling market without being reckless.

Exit Rules (Selling Logic)

Every day at 3:20 PM:

• Scan your portfolio for the stock that has risen the most since your average buy price.
• If any stock is showing a gain of more than 5%, sell it (limit: 1 sell per day).

This ensures you're consistently booking profits, and your portfolio keeps refreshing with newer undervalued opportunities.

Capital Allocation

You can follow one of two ways:

1. Fixed per-trade allocation:
→ Allocate a fixed amount (Example : ₹15,000) per buy (new or averaging).

2. Dynamic Compounding Allocation (Recommended):
→ Divide your total capital by 40 and treat that as your unit allocation per trade.
→ As your capital grows with profits, the amount allocated per trade also grows—enabling compounding of returns.

Frequency of Execution

• Run the strategy once a day, preferably at 3:20 PM IST, after most of the market’s direction is clear.
• All actions—scanning, buying, selling—can be done in under 10 minutes.
• Sell the ones that have achieved target first before buying. This way, the capital is released by the closing position giving you more cash to buy new ones.

Why It Works

• You’re only dealing with NIFTY 50—India’s best.
• You buy only after pullbacks, not at peaks.
• You average down carefully—not blindly.
• You exit with profits, not emotions.
• You limit actions per day, keeping it simple and stress-free.

This rules-based system removes overthinking and emotional trading. It’s like setting up a systematic investment plan (SIP) with brains.

Backtest Results

I have managed to back test this strategy for 5 and 10 years and some of the results below. I did not stop just there, I considered various combinations of the target, averaging and capital allocation percentages and found the best combination that yields the most risk-adjusted returns!

Equity Curve

Monthly Returns Heatmap

Portfolio Growth

Where can you find more details about this strategy and Backtest?

Full details of the backtest, along with the Python backtesting code, all combinations/screnarios tested, Ranking sheet of all scenarios and the best combination out of the ones tested, daily python screener to find the top 5 stocks can be found in our community store (link below).
/shop/nifty-shop-strategy-screener-and-core-logic/

How I Backtested This

I have a full-fledged backtesting framework in Python, built to test trading strategies with precision.