Eliminate months of repetitive boilerplate. Get bespoke trading journals, institutional financial modeling workbooks, and production-ready Next.js fintech starters tailored to your exact operational workflows.
From high-speed trading journals to multi-asset models and client-facing dashboards, I engineer custom templates that give your team an immediate competitive edge.
Pre-architected Next.js codebases equipped with order book depth widgets, responsive candlestick charts, authentication flows, and financial math utility libraries.
Automated performance telemetry analyzing risk-to-reward ratios, drawdown duration, entry slippage, and emotional trade tags across equities, FX, and crypto.
Browser-based financial modeling workbooks with dynamic DCF valuations, scenario sensitivity tables, and instant chart updates without Excel macro crashes.
Save hundreds of engineering hours by starting with a robust, production-tested foundation designed specifically for quantitative workflows.
Teams requiring standardized, internal trader journals with strict risk metrics and automated trade imports to enforce compliance and track execution edge.
Quants who need rapid interactive frontends to visualize alpha signals, correlation matrices, and backtest results for investment committees.
Early-stage founders who want a bulletproof technical foundation to build their commercial trading SaaS or wealth management tool upon.
Clean, documented, and fully tested codebases delivered directly via private Git repository.
Direct communication with the engineer from specification through to final repository delivery.
We define your exact layout requirements, data source schemas (broker exports or live REST/WebSocket feeds), and target metrics. You receive a clear specification sheet with fixed pricing.
I build the high-contrast dashboard structure, assemble financial charting components, and wire up reactive controls with zero layout shifts.
Formula validation engines and multi-broker trade ingestion modules are stress-tested against thousands of historical records to ensure 100% arithmetic accuracy.
Delivery of a clean Git repository with typed interfaces, README documentation, and a recorded walkthrough or technical call demonstrating deployment.
Clear answers regarding customization, licensing, broker CSV compatibility, and code handover.
Off-the-shelf spreadsheets inevitably experience severe lag, formula corruption, and performance degradation once trade histories surpass 5,000–10,000 executions. A custom web workbook built on TypeScript and modern browser storage processes millions of data points instantly, supports automated broker CSV/API syncs without manual copying, and enables sophisticated risk analytics like Monte Carlo equity curves that standard spreadsheet formulas cannot execute reliably.
Yes. In addition to universal CSV/Excel trade uploaders, we can integrate direct read-only API connectors for Interactive Brokers, Tradovate, Binance, Bybit, and MetaTrader. Incoming executions are automatically categorized by setup, time session, and asset class with real-time R-multiple calculations.
Every starter package includes clean Next.js 15 TypeScript code, pre-configured financial chart wrappers (TradingView Lightweight Charts and Recharts), accessible form controls with Zod schema validation, optimized dark/light styling, and modular state handlers ready for your internal trading desks or customer-facing fintech platforms.
A market sitting near record highs and pricing near-zero fear (VIX 14.5) is about to run five live catalysts through a Fed that just got handed a reason to lean hawkish instead of dovish.
You backtest a strategy on today's S&P 500 components going back ten years, and the results look outstanding. What you probably didn't account for is that dozens of companies in that index ten years ago went bankrupt, got delisted, or were quietly dropped for underperforming.
You spend weeks building a strategy, run it through years of historical data, and the equity curve looks perfect: steady climb, small drawdowns, a win rate north of 70%. Then you go live and the results don't match at all.
Explore full-stack trading applications, backtesting engines, and developer tools.
Turnkey multi-currency personal accounting dashboards with bank sync.
High-throughput tick data simulation, parameter sweeps, and slippage modeling.
Multi-exchange risk monitors and institutional portfolio trackers.
Simulate dollar-cost averaging returns on real Binance historical market data.
Read technical breakdowns of low-latency web architecture and UI engines.
Send your target layout, component requirements, and timeframe for a fixed quote.
