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Case study · Lacspace's own product

StockYatra: practice trading across three markets, in one app.

Lacspace designed, built and runs StockYatra, a paper-trading app for Nepal, India and US stocks on iOS, Android and the web. Because we own and operate it, it is where we test the client experience LSNEP brings to a brokerage.

Illustration, not a screenshot

At a glance

The product in one view

Relation
Built, owned and run by Lacspace
Platforms
iOS, Android and web, one account
Markets
Nepal (NEPSE), India (NSE), US stocks
Languages
Nepali, English and Hindi
Pricing
Free to start; StockYatra Pro is paid
3Market boards in one practice account: Rs., ₹ and $
46Chart indicators, with ten chart types and bar replay
113Strategies with backtests in the app
4.9Google Play rating from 38 reviews, as of 29 September 2026Google Play

Context

New investors wanted to practise before risking money.

Every IPO season brings first-time investors into the market with a demat account and little idea of how a stop-loss, a circuit or a commission slab works. Most learn by losing real money. StockYatra gives them a place to make those mistakes with practice coins instead, on boards that behave like the real market.

Challenge

Make practice feel like the real thing, and keep people coming back.

A simulator only teaches if it feels real: live-moving prices, proper orders, fees that add up, charts a serious trader would use. And learning only sticks if people return tomorrow. The product had to be both a trading terminal and a reason to open the app every day, in three languages, on every device.

What we built

A full trading experience, end to end

Three markets, one account

Nepal in Rs., India in ₹ and US stocks in $, on separate boards that share one practice wallet. Prices move live on a practice engine anchored to real price levels.

Real order behaviour

Buy and sell with stop-loss, targets and leverage, and watch profit and loss move as prices change. The habits carry straight into real trading.

A charting terminal

Ten chart types, 46 indicators, drawing tools and bar replay, plus 113 strategies with backtests and Pine Script in the app, and an AI chart explainer.

Fee-aware calculators

Position size, risk and reward, compounding, and a NEPSE share calculator that works out commission, SEBON fee, DP charge and tax.

Learning in three languages

Courses and video lessons in Nepali, English and Hindi, with the interface itself in all three.

Reasons to come back

Weekly leagues, a monthly Cup, a daily bull-or-bear call, community chat and friends. Engagement is designed in, not bolted on.

Market tools outside the app

NEPSE live data, heatmap, top movers and an IPO calendar on the website, so search traffic arrives at useful pages.

A paid tier that works

StockYatra Pro is a paid plan, Rs 199 for 30 days or Rs 1,499 a year, on top of what stays free. Billing runs inside the product.

How it fits together

One engine behind every screen

The same account, prices and rules serve the phone app, the web terminal and the public website. That is the architecture a broker-branded app and portal need too.

What this proves for a brokerage

The parts that carry straight into LSNEP

A client app clients actually open

Leagues, alerts and learning drive daily use. Your client app needs the same pull, so clients check your app before a competitor's.

LSNEP module: Client app

Charts without advice

Indicators, strategies and an AI explainer that describe the chart and never recommend a trade. The line a licensed broker must hold.

LSNEP module: Charts and market insights

Fees calculated correctly

The same commission, SEBON fee, DP charge and tax logic sits behind contract notes and ledgers in the back office.

LSNEP module: Back office

Nepali first, not translated last

Interfaces and learning in Nepali and English from day one, so every client is served in the language they think in.

LSNEP module: Web portal and website

Give your clients an app this good, in your name.

See StockYatra live, then the LSNEP client app and back office on sample data branded for your brokerage.