ChartForge
TradingView-class multi-timeframe charting and analysis for active traders
ChartForge is a professional, TradingView-class trading analysis and visualization platform built for active traders who need clarity, speed, and multi-timeframe context, not execution or automation. It renders real-time and historical market data through a GPU-accelerated charting engine, operates as a multi-chart workspace (2 to 4 charts per screen with independent or synced timeframes), and layers on a deterministic multi-timeframe alert engine. Every analytical output is deterministic and replayable: identical inputs always produce identical results. Accessible via web, tablet, and mobile.
Key Features
Multi-Chart Workspace
2 to 4 charts per screen with independent or synchronized timeframes.
Multi-Timeframe Core
HTF bias, MTF narrative, and ETF entry held together in one view.
GPU Charting Engine
Candlestick, line, area, OHLC, and volume rendering at high refresh.
Drawing Tools
Trendlines, Fibonacci, S/R zones, magnet snap, lock, and hide.
Indicator Suite
Trend, momentum, volatility, volume, and market-structure, MTF-aware.
Alert Management
Multi-timeframe cascade with 44 candlestick patterns and 8 channels.
Watchlists
Stocks, futures, forex, crypto, indices, and options in one place.
Snapshots & Sharing
Capture chart snapshots and share them socially.
Challenges & Solutions
High-refresh rendering
Existing tools struggle to render multiple charts at low latency on live data.
Multi-timeframe juggling
Traders juggle windows and tools to hold HTF, MTF, and ETF context together.
Unreliable alerts
Conventional alerts watch one condition, repaint intrabar, and are not reproducible.
Cross-session consistency
Traders cannot trust tools whose outputs shift across sessions or devices.
GPU-accelerated engine
Renders 2 to 4 synchronized charts smoothly at high refresh rates.
First-class MTF model
HTF, MTF, and ETF coexist without any window-switching.
Deterministic alerts
Evaluates measurable facts only on completed candles, hash-verified so replay equals live.
Layered architecture
Cleanly separates data ingestion, computation, and visualization for consistency.