Forecast-Aware Financial Charting SDK

White-label HTML5 Canvas financial charts with native quantile uncertainty visualization.

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1. WHAT IS THIS?

The Forecast-Aware Financial Charting SDK is a zero-dependency HTML5 Canvas charting library engineered specifically for quantitative finance, trading desks, algorithmic model portals, and AI prediction services.

2. WHO IS IT FOR?

• Quantitative developers building proprietary trading dashboards.
• FinTech founders requiring 100% white-label financial charts without third-party vendor watermarks.
• AI signal providers needing to visualize model forecast uncertainty distributions directly alongside historical candlesticks.

3. WHAT PROBLEM DOES IT SOLVE?

Mainstream charting libraries either mandate conspicuous third-party logo branding (such as TradingView Lightweight Charts) or lack built-in probabilistic uncertainty visualization (such as Chart.js or Highcharts). Building dual-space coordinate rendering with P10–P90 quantile fans from scratch on HTML5 Canvas requires weeks of bespoke math and Retina DPI scaling.

4. WHY PAY FOR IT INSTEAD OF BUILDING IT?

• Native Dual-Space Layout: Seamlessly divides the viewport into 74% historical candlesticks and 26% future forecast corridor ($t_0$ boundary line).
• Mathematical Quantile Fans: Renders P10..P90 outer uncertainty bounds and P25..P75 core confidence bands without clipping or hourglass distortion.
• 100% White-Label: Zero forced vendor branding or external stylesheet imports.
• Zero Runtime Dependencies: Pure ES2022 and native HTML5 Canvas 2D.

5. WHAT IS VERIFIED?

• 10 / 10 Automated Math & Bounds Tests Passed: Candlestick geometry, non-monotonic quantile sorting, missing quantile fallbacks, single candle rendering, negative prices, NaN filtering, and 10,000-candle downsampling.
• Microsecond Benchmarks: 10,000 candle downsampling completes in < 5 ms on Apple Silicon.
• Retina Auto-Scaling: Automatically binds window.devicePixelRatio for razor-sharp rendering on 4K and Retina displays.

6. HOW DO I RUN IT?

# 1. Run the test suite
node --test tests/test_chart_math.mjs

# 2. View the interactive browser verification demo
open examples/index.html