Full-stack fintech engineering & quant consulting
I build trading dashboards, backtesting engines, and portfolio trackers for prop firms, fintech startups, and independent traders. End to end, from database to deployment. No account managers, no dev team hand-offs. You talk directly to the engineer writing the code.
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Direct engineering access
Speak directly to the developer writing your software. Fixed-scope contracts, 1-day turnaround on proposals, and complete code ownership.
Ready-to-deploy
Four off-the-shelf tools with lifetime access and complete data ownership. Buy once on this site.
See the four toolsCore specialization
Whether you need a custom personal finance app, high-throughput backtesting infrastructure, bespoke financial templates, or a real-time portfolio management dashboard, I engineer production systems on modern full-stack web architectures.
Clean, secure consumer and wealth applications built for individuals, boutique family offices, and fintech startups. From bank API integrations to automated cash-flow forecasting and net worth telemetry.
Specialized financial models, trading journals, and compliance workflows tailored to your exact operational requirements. Available as automated workbooks or modular Next.js starters with charting already wired.
High-throughput backtesting pipelines capable of simulating algorithmic strategies across years of granular tick data. Parameter optimization, realistic slippage and fee modeling, and Sharpe/Sortino reporting.
Institutional and retail portfolio tracking portals that aggregate positions across exchanges and brokerages. Real-time PnL reconciliation, margin monitoring, and risk analytics without spreadsheet lag.
Ready-to-deploy products & models
Off-the-shelf quantitative systems, self-hosted web applications, and formula-automated financial models. Instant delivery, lifetime access, complete data ownership.
Next.js • TypeScript • Self-hosted database
Institutional-grade, self-hosted web application engineered for tracking multi-asset portfolios across equities, crypto, commodities, and cash. Features real-time PnL telemetry, dynamic asset allocation heatmaps, historical performance benchmarking, and complete data sovereignty with zero recurring SaaS fees.
Full-stack dashboard • Private database
A production-grade, self-hosted trading journal and execution analytics engine designed for quantitative and discretionary traders. Track trade expectancy, R-multiples, setup attribution, and drawdown metrics with full local database privacy. Eliminate expensive recurring monthly journal subscriptions while owning your complete historical trade telemetry.
Google Sheets • Native formulas • Real-time feeds
An automated, formula-optimized Google Sheets investment model that tracks equities, ETFs, crypto, and cash positions in real time using native GOOGLEFINANCE and API connectors. Features dynamic rebalancing triggers, currency normalization, dividend yield forecasting, and visual asset allocation charts with zero coding or third-party extensions required.
Google Sheets • Instant setup • Formula protected
A comprehensive trading journal and execution telemetry template built for Google Sheets. Automatically calculates win rate, profit factor, average R-multiple, risk-to-reward ratio, and cumulative equity curves from your raw trade entries. Built for day traders, swing traders, and crypto desks who want a friction-free, non-subscription tracking workbook.
Engagement model
Most projects start with a 30-minute call to nail down scope and a fixed quote. No discovery-phase invoicing. Architecture and data model first, a working prototype within 1–2 weeks, then iteration until launch. Post-launch support is scoped separately.
We review your data sources, broker APIs, and functional requirements. You get a clear architecture outline and a fixed quote. No discovery-phase invoicing or hourly scope creep.
Database schema and real-time feeds are wired up first. You receive a functioning prototype in the first 1–2 weeks so you can test live data flows early rather than waiting until final delivery.
Continuous milestone updates so you can test order execution, backtest accuracy, and chart responsiveness. Edge cases like dropped sockets and rate limits are handled.
Production deployment to your cloud with documentation and environment configurations. Post-launch maintenance is scoped separately so you never pay for a retainer you did not ask for.
Clear pricing & process
Pricing, delivery timelines, broker integrations, and remote collaboration.
Most custom dashboards run $3,000–$15,000 depending on data sources, real-time requirements, and how many broker/exchange integrations are involved. You get a fixed quote after a scoping call, not an hourly estimate that creeps.
Direct engineering access
Send a short brief (what you are building, what data it touches, and any deadline) and expect a reply within 1 business day. No sales call required before you get a real answer.
You communicate directly with the engineer writing the software. Every inquiry gets a technical assessment and a fixed-scope quotation.
Email
contact@xwen.com.pk
Location
Karachi, Pakistan (UTC+5). Overlapping hours with US, UK/EU, and Gulf timezones.
Response: within 1 business day. NDAs on request.
Xwen