Capability	NepseScanner	Quant Kid Academy
AI agents & LLM integration (incl. private, on-premise AI)	✓	✓
Automated data pipelines & workflow automation	✓	✓
Live dashboards & advanced analytics	✓	✓
Alerts & notifications (Telegram, web push, email)	✓	✓
Secure accounts & role-based access	✓	✓
Local payment gateway integration (eSewa / Khalti)*	✓	✓
Mobile-ready progressive web apps	✓	✓
Production DevOps: CI/CD, backups, monitoring	✓	✓

Live at nepsescanner.comFinTechData platformAI agent

NepseScanner: turning raw exchange data into trustworthy market intelligence.

An end-to-end market-data and analytics platform for the Nepal Stock Exchange, built for investors and active traders. It covers automated data collection, analytics, a web app and mobile PWA, alerts and an AI research assistant.

IndustryCapital markets

ScopeData · Backend · Web · AI · DevOps

PlatformsWeb app, mobile PWA, API

StatusLive in production

Visit nepsescanner.com ↗

38Scheduled data pipelines running automatically

280Secured REST API endpoints

6,800+Automated tests (backend + frontend)

81Database tables with full data provenance

The challenge

Market data that was scattered, messy and hard to trust

Exchange prices, trade-by-trade records, broker activity, company reports and economic data came from many sources and in many formats, including PDFs and spreadsheets. Investors had no single reliable place to see what was happening, and most "signals" on the market were not tested against evidence.

Our solution

One verified data platform with analytics and AI on top

Automated collectors that validate every record and log its source.
A fast analytics layer powering live dashboards, scanners and broker-flow views.
An AI research assistant that only reports numbers produced by real calculations.
Alerts, a mobile app, subscriptions and admin tools, all in one system.

Feature explorer

Everything we built

Market in 30 seconds

The whole market, explained in plain words every day.

Intraday market chartThe NEPSE index through the session against yesterday's close, with money traded, trades and companies.

Busier than usualCompanies trading several times their normal volume, flagged automatically.

Rises vs fallsMarket breadth at a glance: how many stocks rose, fell or stayed flat.

Coming upBook-close dates, lock-in expiries and other important dates for the companies you follow.

Today: the live market summary (guest view)

Stock Intelligence

Filter every listed company using facts from the exchange's own trade records, not predictions.

Plain-language conditions"Easy to trade", "busier than usual", "above their average price", "haven't jumped too fast".

Explains what was excludedShows how many companies each condition removed.

Saved presetsCombine conditions over 5, 10 or 20 sessions and save them as a preset.

Caution flagsUnusual trading patterns are marked, with a clear note that a flag is not an accusation.

Stock Intelligence: a condition-based scanner

Rankings, minute by minute

Live leaderboards through the trading session and over the last 20 sessions.

Live intraday listsRising most, falling most, most money, most shares, busier than usual.

20-session viewsStrongest, pullbacks, volatility, drawdowns and unusual moves.

Fair by designThin trading can't game the lists: a company must trade at least Rs 1 million today to rank.

Filter by industryHydropower, banks, microfinance, hotels and more.

Every company, in plain words

A page for every listed company, written for ordinary investors.

Price history1-month, 3-month and 1-year charts with clear notes on adjustments.

"What kind of stock is this?"Trend, ease of trading and price steadiness compared with every other listed company.

What happened todayAn automatic plain-English summary of the day's move.

The evidenceEvery measurement, with what it can and can't tell you.

Test a strategy on real history

Choose a rule and see what your money would have become, after every fee and tax.

No-code backtestingPick a company, a period (back to 2016) and a rule such as "the price drops sharply".

Realistic costsResults include every fee and tax, and execution is realistic: next-day opening price.

Honest comparisonShown side by side with simply holding the company or keeping cash.

Liquidity guardOnly companies that trade enough can be tested.

Built for the phone in your pocket

An installable app (PWA) for retail investors, with built-in lessons.

Mobile-first appToday, Explore, Rankings, My stocks and company pages are all designed for phones.

Learn the basicsShort lessons on shares, dividends, bonus shares, charts and diversification.

Glossary built inMarket words explained wherever they appear.

Guest modeTry everything instantly without signing up.

The engine underneath

What runs behind the screens, every trading day.

38 automated data pipelinesPrices, order book, indices, trade-level records, corporate actions, fundamentals, and central-bank data parsed from PDFs and spreadsheets.

Provenance on every numberEach record stores its source, collection time and quality score. Original responses are kept so data can be reprocessed.

AI research assistantA tool-using LLM agent for internal research. It runs on a private on-premise model and blocks any number that no tool produced.

Self-healing operationsWatchdogs, failure alerts to Telegram, verified daily backups with restore tests, and release checks that fail loudly on any mismatch.

On mobile

Designed for the phone first

Architecture

How it fits together

Sources

Exchange feedsprices · depth · trades

Company reportsfundamentals · actions

Macro dataPDF · Excel · API

Automation

38 scheduled collectorsvalidate · normalise

Provenance & qualitysource, time and score on every row

Data

PostgreSQLoperational store

DuckDBanalytics warehouse

Feature storeversioned

Intelligence

AI Quant Desktool-using LLM agent

Research enginebacktests · regimes

FastAPI · SDK280 endpoints

Delivery

Web dashboards80+ screens

Mobile PWA

Telegram alerts

Technology

Tech stack

Backend & data

Python 3.12FastAPISQLAlchemy 2AlembicPostgreSQL 16DuckDBpandasNumPy

Frontend

React 19TypeScriptViteRechartsPWASEO pre-rendering

AI

LLM tool-use agentOllama (on-premise)Qwen 2.5Anthropic Claude

Automation & ops

Dockersystemd timersCloudflareGitHub ActionsTelegram Bot API

Quality

pytestVitestPlaywrightruffpip-audit

Integrations

eSewaKhaltiGoogle sign-inPDF/Excel parsing

What this means for your business

The same capabilities, applied to your data

Workflow automationThe same pipeline engine can collect your sales, inventory or finance data automatically, every day.

Live dashboardsThe same analytics stack can show your KPIs in real time, with alerts when something changes.

Trustworthy AI agentsThe same guarded-agent design can answer questions about your business without inventing facts.

Next project

Quant Kid Academy →

View

← Our work / Quant Kid Academy

Live at quantkidacademy.comEdTechFinTechPrivate AI

Quant Kid Academy: a flight simulator for trading decisions.

A training platform where learners practise on real market history with virtual money and are scored on how well they decide, not on luck. A guided 8-week program, gamification and a private AI assistant take learners from first trade to running their own experiments.

IndustryEducation · Finance

ScopeProduct · Backend · Web · AI · DevOps

AudienceAdult learners & institutions

StatusLive in production

Visit quantkidacademy.com ↗

5,300+Automated tests: unit, UI and end-to-end

160API endpoints

40+App screens across 36 feature modules

100%Repeatable: the same inputs always give the same replay

The challenge

People learn trading by losing real money

Beginners learn from tips and luck, practise with real savings, and rarely get honest feedback on why a decision was good or bad. Testing a trading idea usually needs programming skills most learners don't have.

Our solution

Practice on real history, graded on decision quality

Candle-by-candle replay of real Nepal Stock Exchange data with virtual money.
Scores for patience, position sizing and risk control, not just profit.
Plain-English ideas turned into tested rules by a private, on-premise AI.
A structured 8-week program with lessons, quizzes, missions and leaderboards.

Feature explorer

Everything we built

Practice on real market history

A replay of real NEPSE price history, one candle at a time, with virtual money.

Candle-by-candle replayStep through or play at 1×, 2× or 4× speed. The future stays hidden.

Realistic ordersBuy, sell and close with share sizing, stop and target, and the real round-trip cost shown before every trade.

Live position panelEntry, current value, unrealised P&L and drawdown, updated every candle.

Reflection built inThoughts, hypotheses and key insights are recorded in each session.

Trading cockpit: a live replay with an open position

Practice with a purpose

Every session can carry a challenge that trains a specific skill.

246 NEPSE stocksReal daily candles, with adjustable session length.

Skill challengesFree play, max 3 trades, low drawdown (keep losses under 5%) and prediction challenges.

Missions & rewardsA first mission and XP rewards guide new learners into their first session.

Anonymous by defaultLearners get a fun anonymous trader name, so no email is needed to start.

New session: stock, length and challenge

Describe an idea in plain English

Type a belief about the market and AI turns it into a precise rule that can be tested.

Natural language input"Buy after the price drops 2% over the last 20 candles, then sell 20 candles later."

Private, on-premise AIA self-hosted open model, so learner data never goes to a third-party AI service.

The AI drafts and the code decidesEvery model output is checked by deterministic code before anything runs.

Guided examplesOne-click starting ideas such as RSI below 30 or a 20-candle high.

Results that tell the truth

Backtests on real data, with the costs and caveats spelled out.

Real NEPSE costsBroker commission, SEBON fee and DP charge are applied on both buy and sell.

Compared against luck"Beat 9 of 10 random traders", with an honest "too few trades to judge" warning when it applies.

Idea → Result → EvidenceA clear three-step flow from belief to proof.

Every trade inspectableTrade markers on the chart, plus win rate, drawdown and per-trade economics.

A structured 8-week program

From "Your First Experiment" to "Does it still work later, and elsewhere?".

Weekly unlocksEach week builds one skill and unlocks the next.

Progress trackingWeeks submitted, sessions played and a full record of a learner's thinking.

GamificationXP, levels, streaks, achievements and a fair leaderboard that one lucky run can't top.

Versioned editionsCohorts can be pinned to a specific edition of the course.

Lessons for complete beginners

A 7-day warm-up plus a searchable lesson library.

NEPSE FoundationsA 7-day warm-up: what the stock market is, what NEPSE is, reading your first stock.

Lesson library22 short lessons on candlesticks, order types, FOMO, revenge trading, trends and more.

Quizzes & missionsCheck understanding and apply it straight away.

Works like an appInstallable on phones, offline-aware and optimised for iPhone.

Verified, not just claimed

A public validation page explains exactly what is verified, and what isn't yet.

Deterministic engineThe same inputs always give a byte-identical replay, checked by stress tests on every core change.

5,300+ automated testsUnit, property-based, UI and end-to-end browser tests run in CI.

Secure by defaultPasswordless and Google sign-in, admin MFA, rate limiting, strict security headers and user data export or deletion.

Tutor toolsStudent roster, learning-insight panels, messaging and an audit log for cohort teaching.

On mobile

The full academy, in your pocket

Trade: set up a practice session — Practice setup

Research Desk: idea to rule — Research Desk

Architecture

How it fits together

Learner

Web & mobile PWAReact 19

Push & email

Edge

Cloudflaresecure public access

nginxstrict security headers

Application

Replay enginedeterministic

FastAPI160 endpoints

Scoring & gamification