Building an AI-Powered Trading Strategy with No Coding: A Beginner’s Guide

Introduction: Can AI Really Help You Trade Stocks?

The stock market used to be a place where only analysts with expensive tools and complex models could thrive. But thanks to Artificial Intelligence (AI), you no longer need to know how to code or have a background in finance to make informed trading decisions.

Whether you’re a college student, IT professional, or someone simply curious about investing, this blog will show you how to build your first AI-powered trading strategy for the Indian stock market — with zero coding and using real tools available online.

We’ll take SBI stock (NSE: SBIN) as our case study

What Does AI Do in Trading?

AI can:

• Analyze patterns in historical stock data

• Predict price movements based on indicators or trends

• Give alerts for potential buying/selling opportunities

• Automate repetitive tasks like chart analysis

• Learn from past performance and improve over time

  
  

In short, AI can be your research assistant, market analyst, and trade coach — all rolled into one.

Step-by-Step: Build a No-Code AI Trading Strategy

Step 1: Choose the Right No-Code AI Tool

Some popular AI platforms that support no-code financial modeling:

• Tradetron – India-based platform for strategy building

• StockGPT by Jarvis Invest – Personalized stock insights

• Upstox AI tools – Offers smart stock filters

• ChatGPT + Google Sheets – For custom logic using prompts and data

For this blog, let’s combine ChatGPT + TradingView + Excel or Google Sheets.

Step 2: Pick a Stock to Work With – Example: SBI (SBIN)

Let’s say you want to trade SBI (State Bank of India) based on moving average crossovers — a simple yet powerful strategy.

Strategy logic: If the 5-day moving average (MA5) crosses above the 20-day moving average (MA20), it may be a good time to buy. If it crosses below, it may be a time to sell.

Step 3: Use ChatGPT to Build the Strategy Logic

Prompt to Use in ChatGPT:

Give me a trading strategy using moving averages for the SBIN stock on the NSE. I want a buy signal when 5-day moving average crosses above the 20-day average, and a sell signal when it crosses below.

Step 4: Load Stock Data in Google Sheets or Excel

Here’s how:

1. Use NSE or TradingView to download historical SBI stock prices.

2. In Excel/Sheets:

   
   

   • Column A: Date

   • Column B: Closing Price

   • Column C: 5-day MA: =AVERAGE(B2:B6)

   • Column D: 20-day MA: =AVERAGE(B2:B21)

3. 
   

4. Compare when the 5-day MA crosses above/below the 20-day MA.

You’ve now built an AI-style rule-based strategy without any code.

Step 5: Use TradingView for Visualization

Go to https://in.tradingview.com/:

• Search for SBIN

• Click on the chart

• Add indicators:

  
  

  • Moving Average (5)

  • Moving Average (20)

• 
  

• You’ll visually see the buy/sell crossover signals

This helps you train your eye to read patterns — something AI does at scale.

Step 6: Backtest the Strategy (Without Coding)

In Excel:

• Mark all points where MA5 > MA20 as a buy zone

• Calculate returns from one buy to next sell

• See how much profit you could have made

Alternatively, use platforms like:

• TradingView (free backtesting with Pine Script strategies)

• Jarvis or Smallcase AI portfolios

  
  

Why AI is Useful in the Indian Stock Market

The Indian stock market is emotionally driven and highly news-sensitive. AI helps in:

• Filtering out noise (rumors, hype)

• Analyzing lakhs of data points quickly

• Finding patterns in stocks like SBI, TCS, Reliance, etc.

• Recommending better entry/exit points based on historical behavior

• Reducing emotional bias and impulsive decisions

Many brokerage firms and fintech companies in India are already using AI to suggest trades to customers. As a retail investor, you can do the same without writing a single line of code.

Real Example: SBI Stock (SBIN)

Let’s simulate a basic scenario:

• On 1st June, 2024: MA5 = ₹780, MA20 = ₹775 → BUY

• On 10th June, 2024: MA5 = ₹770, MA20 = ₹778 → SELL

Profit: ₹780 - ₹770 = ₹10 per share

If you bought 100 shares, that’s ₹1,000 gain in just a few days — all because the AI-backed logic spotted a pattern.

Bonus Prompts to Explore More AI Strategies

Here are more prompts you can try in ChatGPT:

1. “Give me a trading strategy for SBIN using RSI and MACD for short-term gains”

2. “Can you help me create a stock screener for Indian stocks based on volume spikes?”

3. “Build a trading system that uses Bollinger Bands and Moving Averages for SBIN”

4. “Find me 3 indicators to detect bullish signals in banking sector stocks on NSE”

5. “Create a rule-based investing plan for long-term investment in Nifty50 stocks”

Conclusion: Start Simple, Grow Smarter

You don’t need to be a coder or finance expert to use AI in the stock market. Start with a simple, rule-based strategy, visualize it, test it, and refine it using tools like ChatGPT, TradingView, Excel, and no-code platforms.

In today’s world, AI is not just for analysts — it’s for you too.