State of Nepal's new investors.
What first-time investors actually do when nothing is at stake — from every practice trade on StockYatra. Anonymised and aggregate; no individual is identifiable. Free to quote with a link. As of 24 October 2026 at 19:24 NPT.
2,939 members, from Kathmandu to Mahendranagar.
Members by city, from the city people chose to add to their profile (1,332 of 2,939 so far). No GPS or addresses — a city appears once it has 3 or more members; 43 more members are in smaller places.
- 1Kathmandu469
- 2Janakpur91
- 3Pokhara62
- 4Birgunj60
- 5Butwal52
- 6Chitwan50
- 7Lalitpur45
- 8Jhapa42
- 9Bhaktapur34
- 10Biratnagar32
- 11Nepalgunj27
- 12Itahari25
- 13Dhangadhi20
- 14Hetauda18
- 15Rautahat16
- 16Bhairahawa15
- 17Kalaiya15
- 18Morang14
- 19Inaruwa13
- 20Dang13
- 21Mahendranagar9
- 22Dharan9
- 23Udayapur9
- 24Kapilvastu8
- 25Kohalpur8
- 26Banepa8
- 27Damak7
- 28Birtamod7
- 29Surkhet7
- 30Tanahun6
- 31Malangwa6
- 32Rajbiraj6
- 33Siraha4
- 34Baglung4
- 35Dhankuta4
- 36Mirchaiya4
- 37Barahathawa4
- 38Tikapur4
- 39Nawalpur4
- 40Lahan4
- 41Palpa4
- 42Simara3
- 43Syangja3
- 44Nuwakot3
- 45Bardibas3
- 46Gulmi3
- 47Parbat3
- 48Myagdi3
From the city and country members chose to share in the app — no GPS, no addresses. A city appears once it has 3+ members; 43 more are in smaller places.
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| City | Members |
|---|---|
| Kathmandu | 469 |
| Janakpur | 91 |
| Pokhara | 62 |
| Birgunj | 60 |
| Butwal | 52 |
| Chitwan | 50 |
| Lalitpur | 45 |
| Jhapa | 42 |
| Bhaktapur | 34 |
| Biratnagar | 32 |
| Nepalgunj | 27 |
| Itahari | 25 |
| Dhangadhi | 20 |
| Hetauda | 18 |
| Rautahat | 16 |
| Bhairahawa | 15 |
| Kalaiya | 15 |
| Morang | 14 |
| Inaruwa | 13 |
| Dang | 13 |
| Mahendranagar | 9 |
| Dharan | 9 |
| Udayapur | 9 |
| Kapilvastu | 8 |
| Kohalpur | 8 |
| Banepa | 8 |
| Damak | 7 |
| Birtamod | 7 |
| Surkhet | 7 |
| Tanahun | 6 |
| Malangwa | 6 |
| Rajbiraj | 6 |
| Tokyo | 5 |
| Dubai | 5 |
| Seoul | 5 |
| Siraha | 4 |
| Baglung | 4 |
| Dhankuta | 4 |
| Mirchaiya | 4 |
| Barahathawa | 4 |
| Delhi | 4 |
| Abu Dhabi | 4 |
| Tikapur | 4 |
| Nawalpur | 4 |
| Lahan | 4 |
| Palpa | 4 |
| Simara | 3 |
| Syangja | 3 |
| Nuwakot | 3 |
| Bardibas | 3 |
| Mumbai | 3 |
| Gulmi | 3 |
| London | 3 |
| Parbat | 3 |
| Myagdi | 3 |
Nepal practises after dinner.
Practice trades by hour of the day, Nepal time. NEPSE itself is open 11:00–15:00, Monday to Friday; our users mostly learn in the evening.
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| Bucket | trades |
|---|---|
| 12am | 749 |
| 1am | 391 |
| 2am | 216 |
| 3am | 146 |
| 4am | 183 |
| 5am | 347 |
| 6am | 461 |
| 7am | 1,215 |
| 8am | 1,548 |
| 9am | 1,718 |
| 10am | 1,943 |
| 11am | 1,722 |
| 12pm | 1,552 |
| 1pm | 1,529 |
| 2pm | 1,450 |
| 3pm | 1,535 |
| 4pm | 1,444 |
| 5pm | 1,445 |
| 6pm | 1,569 |
| 7pm | 1,787 |
| 8pm | 2,149 |
| 9pm | 1,909 |
| 10pm | 1,491 |
| 11pm | 1,170 |
Three in four trades close within five minutes.
Time between opening and closing a practice trade. A simulator with no fees rewards the quick flip; the real market charges for it.
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| Category | trades | Share |
|---|---|---|
| < 1 min | 10,889 | 41% |
| 1–5 min | 8,166 | 31% |
| 5–30 min | 3,603 | 14% |
| 30 min–2 h | 1,033 | 4% |
| 2 h–1 day | 1,789 | 7% |
| 1 day–1 week | 773 | 3% |
| 1 week+ | 133 | 1% |
Long, mostly — but a quarter go short.
Retail investors cannot short on NEPSE. On paper, they try it.
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| Side | Trades | Share |
|---|---|---|
| Long | 20,968 | 71% |
| Short | 8,701 | 29% |
Leverage: most say no; those who say yes pick 5×.
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| Category | trades | Share |
|---|---|---|
| 1× | 20,314 | 68% |
| 2× | 2,353 | 8% |
| 3× | 1,253 | 4% |
| 4× | 102 | 0% |
| 5× | 5,602 | 19% |
| 10×+ | 45 | 0% |
The names beginners reach for.
Most-practised stocks on each board. This is what people practise on, not what anyone should buy — data, not advice.
Nepal (NEPSE)
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| Category | trades | Share |
|---|---|---|
| NABIL | 9,906 | 64% |
| NTC | 1,647 | 11% |
| NICA | 1,641 | 11% |
| GBIME | 840 | 5% |
| NIFRA | 829 | 5% |
| UPPER | 623 | 4% |
India (NSE)
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| Category | trades | Share |
|---|---|---|
| RELIANCE | 1,761 | 78% |
| TCS | 140 | 6% |
| HDFCBANK | 104 | 5% |
| BHARTIARTL | 103 | 5% |
| INFY | 82 | 4% |
| LT | 73 | 3% |
US stocks
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| Category | trades | Share |
|---|---|---|
| AAPL | 3,070 | 77% |
| INTC | 246 | 6% |
| GOOGL | 229 | 6% |
| MSFT | 192 | 5% |
| AMZN | 135 | 3% |
| TSLA | 127 | 3% |
Most people are still testing the water.
Traders grouped by how many practice trades they have placed. The median is about three; the job of the product is to move people rightwards.
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| Category | traders | Share |
|---|---|---|
| 1 trades | 388 | 17% |
| 2–4 trades | 750 | 34% |
| 5–9 trades | 510 | 23% |
| 10–24 trades | 360 | 16% |
| 25–49 trades | 124 | 6% |
| 50–99 trades | 61 | 3% |
| 100+ trades | 41 | 2% |
New traders and trades, day by day.
Per Nepal-time day. Today is still in progress, so its bar is partial.
New sign-ups per day
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| Bucket | sign-ups |
|---|---|
| 11 Oct | 22 |
| 12 Oct | 21 |
| 13 Oct | 110 |
| 14 Oct | 280 |
| 15 Oct | 73 |
| 16 Oct | 42 |
| 17 Oct | 25 |
| 18 Oct | 24 |
| 19 Oct | 6 |
| 20 Oct | 18 |
| 21 Oct | 19 |
| 22 Oct | 17 |
| 23 Oct | 16 |
| 24 Oct | 11 |
Practice trades per day
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| Bucket | trades |
|---|---|
| 11 Oct | 394 |
| 12 Oct | 456 |
| 13 Oct | 636 |
| 14 Oct | 1,726 |
| 15 Oct | 958 |
| 16 Oct | 845 |
| 17 Oct | 970 |
| 18 Oct | 1,432 |
| 19 Oct | 612 |
| 20 Oct | 578 |
| 21 Oct | 461 |
| 22 Oct | 459 |
| 23 Oct | 371 |
| 24 Oct | 296 |
People who opened StockYatra each day.
Distinct accounts per Nepal-time day. We started measuring on 25 September 2026.
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| Day | people |
|---|---|
| 11 Oct | 178 |
| 12 Oct | 162 |
| 13 Oct | 237 |
| 14 Oct | 467 |
| 15 Oct | 351 |
| 16 Oct | 288 |
| 17 Oct | 217 |
| 18 Oct | 200 |
| 19 Oct | 153 |
| 20 Oct | 141 |
| 21 Oct | 163 |
| 22 Oct | 142 |
| 23 Oct | 148 |
| 24 Oct | 125 |
More than a simulator.
What people do between trades: talk, add friends, watch lessons, compete, and set alerts. All-time counts unless stated.
The record book.
Method and terms
Every chart is a count over practice trades and accounts on StockYatra's production database, refreshed hourly from the same API that powers the app (JSON feed). Trades are paper: virtual coins on a live-simulated market anchored to real price levels, never real securities. Nothing here is investment advice, and nothing identifies a person.
Use it. The data is published under CC BY 4.0: quote, chart or embed it with a link to stockyatra.com/data. Journalists and researchers who want a cut we don't show — by month, by market, by lesson progress — can write to hello@stockyatra.com.
Read the analysis: what 10,000 practice trades taught us, the most-traded NEPSE stocks, and why a 72% paper win rate is dangerous. Company numbers are on the investors page.
Be a data point.
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