Cohort Thesis
April 2026 cohort leans defensive-compounder. Nifty PE 21.4 suggests fairly-valued — not the time for aggressive cyclical bets. Oil risk (West Asia) is a macro overhang, so over-weighting IT (INR-hedge via export revenue) and defensives (FMCG, Banking) makes sense. Infra (L&T) gives capex exposure; Pharma (Sun) adds structural growth; Bajaj Finance adds consumer-credit leg. Skipped Infosys because Q4 results land April 23 — event risk too close. Will revisit post-results in May.
Sector Allocation
Ranked Shortlist — 8 picks, ₹1,00,000
| # | Ticker | Company | Sector | Allocation | Weight |
|---|
🏁 Four strategies, one race
Your Monthly Framework runs against three agentic trader personas. Each starts with ₹1,00,000 paper capital on 19 Apr 2026 and trades at its own cadence. The leaderboard updates after every scheduled run. Over 6-12 months, the winner (if any) tells you which philosophy actually works for Indian large-caps.
Equity Curves vs Nifty 50
Schedule
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Framework — 1st of month, 9 AM ISTmonthly ₹1L deployment
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Velocity — Mon-Fri, 5:00 PM ISTmomentum scan at close
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Compass — Friday, 5:30 PM ISTweekly sector rotation
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Anchor — 1st & 15th, 6 PM ISTquality on pullbacks
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Daily Check-in — Mon-Fri, 7 PM ISTend-of-day summary
Recent Trades (all strategies)
| Date | Strategy | Ticker | Side | Price | Qty | Value | Reason |
|---|---|---|---|---|---|---|---|
| No trades yet — traders start executing from their first scheduled runs. Check back after 19 Apr 5 PM IST for first Velocity activity. | |||||||
Place Bets — Paper Portfolio
Check the stocks you want to "bet" on this month and edit the amounts. This is a simulator — no real trades are placed. When you're happy, click Export and paste the JSON back to me; I'll update portfolio.json so next month's run tracks these positions and benchmarks them against Nifty 50.
| Take? | Ticker | Sector | Suggested | Your Amount (₹) |
|---|---|---|---|---|
| Total committed | ₹1,00,000 | ₹0 | ||
No positions yet — this is your first month
Once you place bets from this cohort, next month's run will pull current prices for each holding, update this tab with P&L vs. entry, and plot your portfolio curve against Nifty 50. The Portfolio Tracker becomes meaningful after 2-3 monthly cohorts.
Lessons Log
How the learning loop works
Each monthly run: (1) pulls latest price for every open position, (2) computes per-stock, per-sector, and per-cohort P&L, (3) compares portfolio return to Nifty 50 over matching period, (4) writes a lesson entry explaining what worked and what didn't. Over 6-12 months, this becomes a dataset you can actually reason about — "my financials picks outperformed 60% of the time but pharma picks lagged" — instead of just vibes.
What counts as a "safe stock"
Every pick must clear ALL five safety filters. "Safe" here is a relative quality filter, not a promise of no loss.
- Part of Nifty 100 (market cap > ₹50,000 cr)
- 5-year consistent profitability — no loss-making year
- Debt/Equity < 1.0 for non-financials, < 3.0 for financials
- Positive operating cash flow in at least 4 of last 5 years
- 3-year average ROE > 15% (non-financials) or > 12% (financials)
- No active governance/regulatory red flags (SEBI, CBI, ED)
Portfolio construction rules
- 7-10 stocks per month (diversification without over-diworsification)
- At least 4 distinct sectors
- No single position > 20% of ₹1 lakh
- Financials (bank + NBFC) combined capped at 40%
- Each pick documented: thesis, key metrics, specific risks, tags
Exit / review triggers
- Down > 25% from entry AND fundamentals deteriorating
- Thesis invalidated (earnings miss > 15%, governance red flag, debt spike)
- Annual rebalance cue when any single position > 25% of total portfolio
What this framework does NOT do
- Predict short-term price movements — this is long-term (3-5+ year horizon)
- Account for your personal tax situation, cash flow needs, or goals
- Replace a SEBI-registered investment adviser
- Guarantee returns — all equity carries risk of permanent capital loss
Full Disclaimers
Not investment advice. This tool produces research output for the personal use of a single investor (Gaurav). It is generated by an AI (Claude) applying a pre-defined screening framework to publicly available information. The author is not a SEBI-registered Investment Adviser, Research Analyst, or Portfolio Manager. Nothing here constitutes an offer, solicitation, or recommendation to buy or sell any security.
Data freshness. Prices, valuation ratios, and earnings figures cited are drawn from web research as of April 19, 2026, with residual dependence on prior knowledge where fresh data was not available. You must independently verify every number on a live source (NSE, BSE, Screener.in, Moneycontrol, your broker terminal) before placing any order. Do not use stale figures as a basis for real trades.
Risk of loss. Equity investments can lose value, including the entire amount invested. "Large-cap" and "fundamentally strong" filters reduce but do not eliminate risk. Specific risks include: market risk, sector-specific risk (regulatory, technology disruption, demand shifts), single-stock risk (fraud, governance failure, accounting irregularity), and macro risks (inflation, rates, geopolitics, FX).
Paper-trading only. The "Place Bets" and "Portfolio Tracker" features simulate positions for learning and tracking. No real orders are placed. When you choose to invest real capital, you do so through your own broker account, on your own judgment, at your own risk.
Conflicts & independence. The author has no financial interest in any of the securities named. The framework is mechanical — it screens based on public quality metrics — but stock selection involves judgment that can be wrong.
Consult a professional. Before committing a monthly ₹1 lakh to any strategy, consider consulting a SEBI-registered Investment Adviser who can look at your full financial picture — goals, horizon, tax, existing holdings, insurance, and liabilities — and give a fiduciary-quality opinion. This research tool cannot do that.