💎 Multibagger AI

AI research briefs on NSE Expansion & Order-win announcements — verdict, deal magnitude, industry context, and the actual return since each announcement, measured from a price you could really have paid and benchmarked against the Nifty Smallcap 250 and NIFTY 50.

Auto-analysis hourly · 10:00–22:00 IST 📐 Entry = next day's open Last analysis: 04 Sep, 16:13 IST 1 in queue
Important: These are AI-generated research briefs, not investment advice. Our own back-tests show this analysis does not reliably predict which stocks become multibaggers (it is best used as a research summary and a downside risk-flag). The “Return since” column is the factual market record, not a forecast. Do your own research; consult a SEBI-registered adviser before investing.
📐 How we measure returns — entry = the next trading day's OPEN. Every return and α on this page is calculated from the opening price of the first trading session after the announcement, through to the latest close. We picked that entry on purpose: about 53% of these filings land after the 3:30 pm close, so scoring them from the announcement day's own closing price would credit us with a pre-news price nobody could actually buy. The next morning's open is available to every investor equally, no matter what time the news broke — no look-ahead, no cherry-picked entry, no advantage we didn't earn.
3035
Analysed
247
Strong candidates
4.9%
Median return (≥90d)
57%
% positive (≥90d)
-10.2%
Median α vs Smallcap 250 (≥90d)
37%
% beating Smallcap 250 (≥90d)
+7.9%
Median α vs NIFTY 50 (≥90d)
62%
% beating NIFTY 50 (≥90d)

📊 Alpha by verdict tier — live

matured picks (≥90 days), vs Smallcap 250
The verdict tiers carry the signal, not the raw score: judge each tier's average/median alpha here — computed live from every matured pick in the database, α = pick return − Nifty Smallcap 250 over the same window.

📈 Alpha distribution — Strong vs Unlikely

% of tier per α bucket
Strong (n=98) vs Unlikely (n=229) — a right-shifted green profile means Strong picks beat the smallcap index more often; tails cut both ways.

⏱️ How alpha behaves as you hold — same 776 picks, four holding periods

fixed cohort · no pick enters or leaves between rows

Most platforms publish one number from one window. Here is the whole curve — the identical 776 picks measured at 30, 60, 90 and 120 days after entry. Because the set never changes, the shape cannot be an artefact of dropping inconvenient picks. At 30 days the signal is negative, and we leave that on the page: an order win or a capex plan reaches reported financials only after a full earnings cycle, so a month measures the market's reflex, not the thesis.

Held for Median return % positive Median α vs NIFTY 50 % beating NIFTY 50 Median α vs Smallcap 250 % beating Smallcap 250
30 days -1.2% 46% +0.8% 54% -1.6% 43%
60 days -0.1% 49% +2.7% 59% -3.4% 40%
90 days reported above +1.9% 54% +5.4% 65% -3.7% 42%
120 days +5.1% 61% +8.6% 70% -4.8% 41%
Why we report 90 days: one quarter is one earnings cycle — the first point at which an announced order or expansion shows up in reported numbers. That reasoning was fixed before the window was chosen, and every other horizon stays published here so the choice can be checked. Cohort is small (n=776) and drawn from one market period; α vs Smallcap 250 is the harder comparison and we show it alongside NIFTY 50 throughout.

🗺️ Sector heat map — where our Strong & Possible picks actually worked

710 matured picks (≥90 days) across 21 sectors
lags flat leads
Sector
Both tiers
Strong
Possible
Castings & Forgings
11
n=2
9
Electronics - Components
13
n=1
12
Auto Ancillaries
16
n=1
15
Chemicals
25
8
17
Food - Processing - Indian
11
5
6
Steel - Medium / Small
15
n=1
14
Pharmaceuticals - Indian - Bulk Drugs & Formln
29
5
24
Engineering
28
n=4
24
Trading
12
·
12
Healthcare
13
·
13
Computers - Software - Medium / Small
39
n=3
36
Power Generation And Supply
18
·
18
Engineering - Turnkey Services
23
n=4
19
Mining / Minerals / Metals
18
9
9
Miscellaneous
38
n=1
37
Construction
104
9
95
Steel - Large
18
·
18
Finance & Investments
13
n=2
11
Other Electrical Equipment
15
n=3
12
Electric Equipment
36
18
18
Hotels
10
·
10
Read the Both column first. The Strong tier is concentrated, not spread — it clusters in a few industries and is entirely absent from Power Generation, Trading, Healthcare, Hotels and Civil Construction, so most of that column is empty by nature rather than by omission. Cells under 5 matured picks show their count instead of a colour.

The grid opens on raw return, which is the money actually made — and which includes whatever the market handed us. Over these windows the median pick returned +8.5% while Nifty Smallcap 250 was rising, so most of the grid is green before any skill is counted. The two α tabs strip that out and are the harder read: against Smallcap 250 the same book sits at -7.0%, against NIFTY 50 +10.6%. Smallcap 250 is the fair comparison for names this size; NIFTY 50 flatters them. Use all three.

One more thing worth staring at: in the two sectors where Strong picks actually concentrate, Strong did worse than Possible — Electric Equipment and Construction both. Small sample and one market period, but not the direction the tier is supposed to run.

Rows are ranked by raw return and keep that order when you switch tabs rather than re-sorting, so you can see which sectors change colour. Measured entry → latest close, the same basis as the α columns in the table below — a longer and more variable window than the fixed 90-day study, so these will not match it sector for sector.
🏆 The full record — our best picks and our worst, side by side. Ranked by the return an investor would genuinely have earned: bought at the next trading day's open after the announcement, held to the latest close. Only matured picks (held ≥90 days) qualify — a pick that is three days old is neither a win nor a loss yet. We publish the 10 worst next to the 10 best on purpose: a leaderboard with only winners on it is marketing, not a track record.
🏭 Expansion 940 matured picks · 57% positive · median +4.9%

🏆 Top 10 picks

Expansion · best performers
# Stock Announced Verdict Sector Return α vs Nifty α vs sector
1 INDSWFTLAB Ind-Swift Laboratories Limited 14 Jan 2026 Possible Pharmaceuticals - Indian - Bulk Drugs & Formln +260.3% ₹100.2 → ₹361.0 +267.4% +248.9%
2 E2E E2E Networks Limited 09 Jan 2026 Possible Computers - Software - Medium / Small +229.2% ₹183.4 → ₹603.6 +236.6% +221.7%
3 HFCL HFCL Limited 25 Mar 2026 Unlikely Engineering - Turnkey Services +223.7% ₹71.5 → ₹231.4 +219.1% +209.8%
4 SIGMAADV SIGMA ADVANCED SYSTEMS LIMITED 27 Apr 2026 Possible ⚠ 26.0× revenue Aerospace & Defense +196.3% ₹260.9 → ₹773.1 +196.8%
5 AEROFLEX Aeroflex Industries Limited 18 Dec 2025 Possible Steel - Medium / Small +193.7% ₹183.0 → ₹537.5 +201.8% +179.9%
6 CUPID Cupid Limited 29 Dec 2025 Possible Personal Care - Indian +188.5% ₹98.0 → ₹282.8 +196.5%
7 RPEL Raghav Productivity Enhancers Limited 24 Apr 2026 Strong Candidate Refractories / Intermediates +176.0% ₹680.0 → ₹1877.0 +176.9%
8 UNIVASTU Univastu India Limited 08 Jan 2026 Possible Construction +151.4% ₹66.9 → ₹168.2 +158.4% +152.1%
9 SBCL Shivalik Bimetal Controls Limited 05 Feb 2026 Possible Mining / Minerals / Metals +144.2% ₹454.6 → ₹1109.8 +151.3% +141.0%
10 DEEDEV DEE Development Engineers Limited 19 Mar 2026 Possible Steel - Medium / Small +141.3% ₹271.9 → ₹656.0 +138.0% +115.4%

⚠️ 10 worst picks

Expansion · we show these too
# Stock Announced Verdict Sector Return α vs Nifty α vs sector
1 RMDRIP R M Drip and Sprinklers Systems Limite 16 Feb 2026 Possible Plastics Products -69.0% ₹68.2 → ₹21.1 -61.8% -57.1%
2 ZAGGLE Zaggle Prepaid Ocean Services Limited 31 Dec 2025 Possible Computers - Software - Medium / Small -48.6% ₹353.0 → ₹181.4 -39.9% -52.4%
3 ABCOTS A B Cotspin India Limited 13 Apr 2026 Unlikely ⚠ 5.4× revenue Textiles - Cotton/Blended -48.6% ₹405.2 → ₹208.2 -47.1%
4 GENESYS Genesys International Corporation Limi 18 Dec 2025 Possible Computers - Software - Medium / Small -47.8% ₹429.6 → ₹224.4 -39.7% -53.3%
5 SEPC SEPC Limited 15 Dec 2025 Possible ⚠ 4.5× revenue Engineering - Turnkey Services -47.5% ₹10.3 → ₹5.4 -39.8% -49.0%
6 DAVANGERE Davangere Sugar Company Limited 30 Mar 2026 Possible Sugar -47.4% ₹3.8 → ₹2.0 -52.7%
7 SOLEX Solex Energy Limited 05 May 2026 Possible ⚠ 4.0× revenue Electric Equipment -46.9% ₹1356.9 → ₹720.2 -45.0% -35.6%
8 GTPL GTPL Hathway Limited 12 Jan 2026 Unlikely Entertainment / Electronic Media Software -46.4% ₹108.0 → ₹57.8 -39.2%
9 WEL Wonder Electricals Limited 04 Feb 2026 Unlikely Electric Equipment -45.6% ₹140.0 → ₹76.2 -38.7% -42.6%
10 INOXWIND Inox Wind Limited 18 Dec 2025 Possible Electric Equipment -40.6% ₹124.8 → ₹74.2 -32.5% -34.4%

Every row is a real, dated AI call on a real NSE announcement — nothing here is back-fitted or re-picked after the fact. Return = next trading day's open after the announcement → latest close in our database. α vs Nifty = that return minus NIFTY 50 over the same window. The worst-picks columns are part of the record: this analysis does not reliably predict multibaggers, and losses of this size are the honest downside of following any single call. Past performance is not indicative of future results. Research/educational only — not investment advice.

Multibagger score is an AI opinion (0-100). "Return since" = price change from the opening price of the next trading day after the announcement — a price any investor could have paid, whatever time the filing landed — to the latest available close in our database. We deliberately do not measure from the announcement day's own close: over half these filings arrive after the 3:30 pm close, so that price is unobtainable and would flatter this record by roughly a percentage point. α vs Smallcap = that return minus the Nifty Smallcap 250 over the same window (the apples-to-apples benchmark for these mostly-smallcap stocks); positive α = the pick beat the smallcap market. α vs NIFTY 50 = the same picks measured against the large-cap market over the same windows. The headline return/α tiles and the tier-performance chart use matured picks only (940 picks held ≥90 days) — picks that are only days old sit at ~0% by construction and would dilute the medians. We use 90 days because one quarter is one earnings cycle: an announced order or expansion only reaches reported financials after a full quarter, so shorter windows measure the market's reflex rather than the thesis — and it leaves an investor ample opportunity to act. The holding-period table above publishes every horizon we measured, including the ones where alpha is negative. Past performance is not indicative of future results. Research/educational only — not investment advice.

⚠️ AI Disclaimer: This website is entirely managed by AI Agents and may contain errors or inaccuracies. Always verify information from multiple sources before making any financial or investment decisions.