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Stock Market & Finance Prompts

AI prompts for stock analysis, portfolio management, IPO research and financial planning in India — 15 ready-to-use prompts, copy with one click.

How AI Is Changing Stock Research for Indian Investors

Indian retail investors are increasingly using AI tools to analyse company fundamentals, stress-test investment theses, and make sense of complex financial data. Tools like ChatGPT and Perplexity can process earnings reports, explain regulatory changes, and help structure investment decisions in minutes — but only when given the right context through well-designed prompts.

These 15 prompts are built specifically for Indian market contexts — NSE, BSE, NIFTY50, SEBI regulations, Ind AS accounting standards, and Indian tax implications including STCG and LTCG. Each prompt is pre-filled with realistic scenarios such as analysing an IT services mid-cap, comparing large-cap mutual funds, or evaluating an upcoming SME IPO.

Important: AI-generated financial analysis is a research starting point, not investment advice. Always verify data against official NSE, BSE, and company filing sources. Consult a SEBI-registered financial advisor before making investment decisions.

How to Use These Prompts Effectively

1

Gather your financial data first

Pull numbers from Screener.in, Tickertape, or Moneycontrol then paste directly into the prompt.

2

Use ChatGPT for structured analysis

ChatGPT handles fundamental analysis and financial modelling well when you provide the data.

3

Use Perplexity for live news and regulatory changes

Perplexity searches the web in real time — ideal for current SEBI circulars, budget impacts, and IPO DRHP details.

4

Treat output as research, not advice

Verify all AI-generated analysis against official filings before making any investment decision.

💡 Pro Tips

  • Always provide the actual financial data. Paste company P&L numbers directly into the prompt. AI cannot access real-time market data — you must supply it.
  • Use Perplexity for current news context. Perplexity's live search makes it ideal for budget impact analysis, sectoral news, or regulatory changes affecting your holdings.
  • Specify Indian tax context explicitly. Always mention STCG (20%), LTCG (12.5% above ₹1.25L), dividend taxation, and your holding period.
  • Use the bear case prompt on every investment thesis. Feed your investment rationale into the Risk Assessment prompt to find holes before committing capital.
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Curated by Prabhu Kumar Dasari

Senior XR Developer · AI Architect · 13+ years experience · Tracking Indian equity markets and SEBI regulatory changes since 2018

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All Stock Market & Finance Prompts
15 prompts
Stock Fundamental Analysis
Intermediate
📌 Stock research
Analyse [company name] ([NSE/BSE ticker]) as a potential long-term investment. Evaluate: business model and competitive moat, revenue and profit growth trend (last 5 years), PE ratio vs industry average, debt-to-equity ratio, return on equity, promoter holding and pledge, dividend history, and recent management commentary. Provide balanced buy/hold/avoid recommendation.
🤖 Example tool: 📊 ChatGPT
Analysing Dixon Technologies — India's largest electronics contract manufacturer with significant PLI scheme exposure.
📄 ChatGPT Output
ChatGPT Fundamental Analysis (excerpt)
Revenue FY24: ₹17,690 Cr (↑52% YoY) | Net Profit: ₹412 Cr (↑38% YoY) | ROE: 28.4% | Debt/Equity: 0.18

Key strengths:
1. PLI scheme beneficiary — Government incentives of ₹350-400 Cr annually through FY26 directly boost bottom line.
2. Client concentration reducing — Samsung contribution dropped from 38% (FY22) to 26% (FY24) as Motorola and Xiaomi scale up.
3. Margin expansion — EBITDA margins improved from 3.1% (FY22) to 4.8% (FY24) as higher-margin categories scale.

Key risks:
PLI scheme sunset after FY26 creates a profitability cliff. Management has not clearly articulated the post-PLI margin defence strategy. At P/E of 87x (trailing), the stock is pricing in continued PLI-level margins — which is optimistic without a clear replacement revenue driver.
Portfolio Review
Intermediate
📌 Portfolio management
Review my investment portfolio and suggest improvements. Holdings: [list stocks/funds with allocation %]. Investment horizon: [X years]. Risk tolerance: [conservative/moderate/aggressive]. Goals: [describe goals]. Evaluate: diversification, sector concentration, large/mid/small cap balance, and overall risk-return profile. Suggest rebalancing if needed.
IPO Analysis Framework
Intermediate
📌 IPO investing
Analyse [company name] IPO. Price band: ₹[X-Y]. Issue size: ₹[X] crore. Evaluate: business model strength, revenue and PAT growth (last 3 years from DRHP), PE vs listed peers, purpose of IPO funds, promoter background and holding post-IPO, risks highlighted in DRHP, and GMP sentiment. Apply/avoid recommendation.
🤖 Example tool: 🔍 Perplexity
Analysing a mid-sized Indian SaaS company IPO on NSE SME platform at ₹180 per share.
📄 Perplexity Output
Perplexity IPO Analysis (searched live DRHP + SEBI filings)
Red flags found in DRHP:
1. Revenue concentration — Top 3 clients = 67% of FY24 revenue. Losing one enterprise client drops revenue by 22-30%.
2. Promoter pledge — 18% of promoter shares pledged with NBFC lender. Not disclosed in IPO marketing materials but visible in DRHP Annexure XIV.
3. Negative operating cash flow in FY23 despite reported PAT of ₹3.2 Cr — aggressive revenue recognition policy flagged by auditor in notes to accounts.

Comparable listed peers:
Zaggle Prepaid (P/S: 8.2x) | Tarsons Products (P/S: 6.1x) | This IPO pricing implies P/S of 14.3x — significant premium with no clear justification.

Perplexity verdict: Avoid at current pricing. The promoter pledge disclosure gap is a serious governance red flag. Revisit 3-6 months post-listing once lock-in expires.
Mutual Fund Comparison
Beginner
📌 Mutual fund investing
Compare these [X] mutual funds for a [SIP/lumpsum] investment of ₹[amount] with [X year] horizon: [fund 1], [fund 2], [fund 3]. Compare: 1/3/5 year returns, expense ratio, fund manager track record, AUM size, portfolio concentration, risk metrics (Sharpe ratio, beta), and category ranking. Recommend best option with reasoning.
🤖 Example tool: 📈 ChatGPT
Comparing three large-cap funds for a 35-year-old investor with ₹25,000 monthly SIP and 10-year horizon.
📄 ChatGPT Output
ChatGPT Mutual Fund Comparison
Scenario: ₹25,000/month SIP | 10-year horizon | Large-cap

Mirae Asset Large Cap Fund
5-yr CAGR: 16.2% | Expense ratio: 0.54% (Direct) | AUM: ₹38,200 Cr
Tilt: Overweight financials (32%) and IT (24%). Outperforms in bull markets.
Best for: Investors comfortable with volatility wanting index-beating returns over 7+ years.

HDFC Top 100 Fund
5-yr CAGR: 15.8% | Expense ratio: 0.67% (Direct) | AUM: ₹32,800 Cr
Tilt: More defensive — higher FMCG and pharma allocation. Lower drawdown in 2022 (-14% vs category -18%).
Best for: Conservative investors prioritising capital protection.

Recommendation: Split ₹25,000 as ₹15,000 to Mirae Asset (growth) and ₹10,000 to HDFC Top 100 (stability buffer). Review every 3 years.
Technical Analysis Helper
Intermediate
📌 Technical analysis
Perform basic technical analysis on [stock name]. Current price: ₹[X]. Timeframe: [daily/weekly]. Key levels to identify: support levels (3), resistance levels (3), 50-day and 200-day moving average levels, RSI interpretation, volume trend, and overall chart pattern. Suggest entry, stop-loss, and target levels.
SIP Calculator & Strategy
Beginner
📌 Financial planning
Help me build a SIP investment strategy to achieve [financial goal] of ₹[amount] in [X years]. Current savings: ₹[amount]. Monthly investment capacity: ₹[amount]. Risk profile: [conservative/moderate/aggressive]. Suggest: optimal monthly SIP amount, fund categories and allocation, expected returns scenario (conservative/moderate/optimistic), and review milestones.
Sectoral Analysis
Intermediate
📌 Sector investing
Analyse the [sector name: IT/Banking/Pharma/Auto/FMCG/Infrastructure] sector in India for investment opportunity. Cover: current sector outlook and tailwinds/headwinds, top 5 companies with brief comparison, key metrics to monitor for this sector, current valuation (expensive/fair/cheap vs history), and investment approach recommendation.
Budget Impact Analysis
Intermediate
📌 Event-based analysis
Analyse the impact of [Budget year] Union Budget announcements on [sector/company type]. Key announcements: [paste key points]. Evaluate: direct impact on revenues/costs, regulatory changes, capex allocation changes, tax changes, and long-term structural impact. Which companies/sectors are winners and losers?
Gold vs Equity Comparison
Intermediate
📌 Asset allocation
Compare gold vs equity (Nifty 50) as investments for an Indian investor with [X year] horizon. Include: historical returns comparison, correlation analysis, tax treatment differences, liquidity comparison, inflation hedge effectiveness, portfolio allocation recommendation, and current cycle positioning (which is better right now and why).
Debt Fund Strategy
Beginner
📌 Debt investing
Help me choose the right debt mutual fund category for my requirement. Investment amount: ₹[X]. Horizon: [X months/years]. Purpose: [emergency fund/short-term goal/tax saving/regular income]. Risk appetite: [low/medium]. Compare relevant categories: liquid/ultra-short/short duration/corporate bond/gilt and recommend best fit.
Stock Screener Prompt
Intermediate
📌 Stock screening
Screen for investment-worthy Indian stocks based on these criteria: Market cap: [small/mid/large cap]. PE ratio: less than [X]. ROE: more than [X]%. Revenue growth (3yr CAGR): more than [X]%. Debt to equity: less than [X]. Promoter holding: more than [X]%. Dividend yield: more than [X]%. Sector: [sector or all]. List top 10 matches.
Annual Report Summariser
Intermediate
📌 Research efficiency
Summarise the key investment insights from this annual report section. Focus on: management's assessment of business performance, key growth drivers cited, risks acknowledged, capital allocation decisions, guidance for next year, and any red flags in language or disclosures. Be concise — one paragraph per section. [PASTE ANNUAL REPORT TEXT]
Tax Harvesting Strategy
Advanced
📌 Tax planning
Help me plan tax loss harvesting for my equity portfolio before [March 31]. Portfolio: [list holdings with purchase price and current price]. Calculate: unrealised gains and losses, net gain/loss position, potential tax saving by booking losses, wash sale considerations, and suggest which positions to book and reinvest strategy.
🤖 Example tool: 💰 ChatGPT
Investor with ₹8.4L LTCG and ₹2.1L short-term losses planning March 2026 year-end tax optimisation.
📄 ChatGPT Output
ChatGPT Tax Strategy Output
Your situation: ₹8.4L LTCG | ₹2.1L STCL | March 2026

Step 1 — STCL offset: Your ₹2.1L short-term capital loss can only offset short-term gains (STCG taxed at 20% post-July 2024 budget). If you have STCG this year, offset completely — saves up to ₹42,000 in tax.

Step 2 — LTCG exemption: First ₹1.25L of LTCG exempt per FY (post-July 2024). Taxable LTCG = ₹8.4L - ₹1.25L = ₹7.15L. Tax @ 12.5% = ₹89,375.

Step 3 — Loss harvesting before March 31: Book unrealised losses before March 31 to reduce FY26 liability. Immediately repurchase on April 1 — wash sale rules do not apply in India.

Estimated saving: ₹35,000-55,000 depending on your STCG position. Consult your CA before executing.
Earnings Call Analysis
Intermediate
📌 Earnings analysis
Analyse the key takeaways from [company name] Q[X] earnings call transcript. Extract: revenue and PAT performance vs estimates, management commentary on growth outlook, margin trajectory, new business wins or losses, guidance for next quarter/year, analyst concerns raised, and overall sentiment (positive/neutral/negative) with stock implication.
Risk Assessment for Investment
Intermediate
📌 Risk management
Conduct a risk assessment for investing ₹[amount] in [investment: specific stock/sector/theme]. Identify: company-specific risks, sector risks, macroeconomic risks, regulatory risks, market timing risks, liquidity risk, and currency risk (if applicable). Rate each risk as high/medium/low and suggest risk mitigation strategies.
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Frequently Asked Questions

Can AI tools like ChatGPT accurately analyse Indian stocks?

AI is a powerful research accelerator but not a financial advisor. It excels at structuring fundamental analysis from data you provide and stress-testing investment theses. The critical limitation is that AI cannot access real-time market data — you must paste actual figures from Screener.in, Tickertape, or company filings. Output quality is entirely dependent on data quality you provide.

Why does this collection use Perplexity alongside ChatGPT?

Perplexity has live web search built in, making it significantly better for prompts requiring current information — recent SEBI circulars, budget impact analysis, IPO DRHP details, or quarterly earnings news. ChatGPT is stronger for structured fundamental analysis and financial modelling where you provide the data. Using the right tool for each task produces substantially better output.

How do I use these prompts for NSE and BSE listed companies?

Always specify the exchange, sector, and regulatory context. Mention SEBI regulations, Ind AS accounting standards, and Indian tax considerations like STCG and LTCG rates. Pull data from Screener.in or Tickertape and paste directly into the prompt. For IPO analysis, download the DRHP from SEBI website and paste relevant sections.

What tax context should I always mention in financial prompts?

For Indian investors in FY2025-26: STCG on equity at 20%, LTCG at 12.5% above ₹1.25L exemption, dividend income taxed at slab rate, and debt fund gains taxed at slab rate regardless of holding period. Always specify your tax bracket and holding period — these parameters dramatically change the advice AI produces for tax harvesting and asset allocation strategy.

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