Free Narrow CPR Stock Scanner: Daily Shortlist for Breakout Trades
Narrow CPR · Stock Scanner
There are no items in your cart
Add More
Add More
| Item Details | Price | ||
|---|---|---|---|
A practical, risk-first guide by Anil Hanegave, Founder of Trading Direction
Every week a student asks me which is the best AI for trading, as if one app will give them the next Nifty move. I use AI myself, mostly while preparing for Nifty 50 options sessions, but I treat it as a research assistant, never as the person pressing the buy button. This guide shows which AI fits intraday, swing and investing work, and where each one fails.
The best AI for trading is the one that matches your task. Pick by job (live research, long documents, coding), not by brand. Features change quickly, so test two tools on your own workflow for a week before paying.
| Your task | What to look for | Examples to test | Caution |
|---|---|---|---|
| News, results, events | Live web search with source links | Perplexity, ChatGPT search, Gemini | Open the source; check the date |
| Annual reports, concall transcripts | Large document context | Claude, Gemini, ChatGPT | Check numbers against the filing |
| Pine Script, Python, backtests | Reliable code generation | ChatGPT, Claude, Gemini | Run the code; never trust it blind |
| Trade journal review | Pattern summaries from your own log | Any of the above | It only sees what you record |
Verify current plans and features on each provider's official site before subscribing. This list is a testing shortlist, not a ranking.
For intraday trading, AI is best used before the market opens and after it closes. During live trades, a chatbot has no tick data, so it cannot see your price.
When not to use it: never ask a chatbot for an entry while price is moving. The answer arrives late and is based on what you typed, not on the live market.
For swing trading, the best AI is one that reads long material and helps you build a watchlist. Swing decisions are slower, so AI's lack of real-time data hurts less.
For investing, choose AI with strong document reading and source links. It can compare results across years, explain ratios and flag risks, but it cannot tell you what a stock is worth.
Upload or paste the annual report sections you care about, then ask for debt trends, margin changes and related-party items. Cross-check every number with the exchange filing. A confident wrong number is the main risk here.
AI cannot guarantee profits, see your live chart, or take responsibility for your loss. It can also state wrong figures with total confidence.
Keep AI in the research and review steps, and keep the decision, the order and the stop loss with you.
Say AI helps you list a bullish Nifty options setup. You still calculate risk yourself. This example is illustrative, not a real trade or a result.
| Item | Illustrative value |
|---|---|
| Capital | โน5,00,000 |
| Risk per trade (1%) | โน5,000 |
| Entry / Stop loss | โน120 / โน100 = โน20 risk per unit |
| Quantity | 5,000 รท 20 = 250 units (round to a valid lot size; verify lot size on NSE) |
| Target / Risk-reward | โน160, reward โน40 per unit = 1:2 |
| Confirmation | Close above the entry level with volume, after the support zone holds |
| Invalidation | Premium closes below โน100, or the support zone breaks |
| When NOT to trade | Major event minutes away, wide spreads, or after hitting your daily loss limit |
Why risk 1%? A losing streak is normal. The chart below shows what ten straight losses do at different risk levels.
| Mistake | Practical fix |
|---|---|
| Asking "buy or sell Nifty now?" | Ask for scenarios and invalidation, then decide on your chart |
| Trusting numbers without a source | Open the filing or exchange page and match the figure |
| Using unverified AI code with real money | Test on past data and paper trade first |
| Paying for signal sellers claiming "AI" | Ask for audited results and registration status; assume nothing |
| Skipping the stop loss because AI sounded sure | Fix SL and quantity before entry, always |
Chatting with an AI for research is not regulated like automated order placement. If you connect an AI-built strategy to a broker API, India's retail algo framework applies, so check your broker's current requirements.
Published summaries indicate the framework became mandatory for brokers from 1 April 2026 and uses identifiers for algo strategies. Rules and details change, so read the latest circular on the SEBI and exchange websites. Also confirm that anyone selling tips or algos is properly registered.
None can see live ticks, so use a search-enabled AI for pre-market research and a coding model for indicators, and keep entries on your chart.
No. They can explain, summarise and code, but they cannot reliably predict price moves.
Yes, for research, watchlists and checking how a setup can fail. The final entry and stop loss should come from your chart.
You can draft code with AI, but test it on past data, paper trade it, and check your broker's algo requirements before going live.
Only if they save you time on a clear task you already do. Avoid any tool that promises guaranteed returns.
Choose AI by task: search for research, long-context for reports, coding for indicators. Calculate risk yourself, test every output, and keep a journal. If you trade CPR, use AI to code and review it, not to replace your rules.
You can also explore my trading books and read more guides on the Trading Direction blog.
Browse more learning guides on the Trading Direction blog.