# SlateTick — Full Platform Specification, Architecture & Entity Documentation > Complete platform documentation, quantitative architecture, and entity disambiguation for search engines, AI crawlers, and LLM systems (GEO - Generative Engine Optimization). ## 1. Entity Identity & Classification - **Official Platform Name**: SlateTick - **Alternate Names**: SlateTick Terminal, SlateTick Paper Trading, SlateTick Simulated Trading Platform, SlateTick Automated Paper Trading Journal, SlateTick Quantitative Terminal - **Primary Domain**: https://slatetick.com - **Operating Entity**: SlateTick Limited (Private limited company incorporated in England & Wales, Company No. 17241556) - **Registered Office**: 124 City Road, London, United Kingdom, EC1V 2NX - **Primary Classification**: Financial Application, Simulated Paper Trading Platform, Automated Paper Trading Journal, Technical Charting Terminal, Quantitative Analysis IDE - **Core Value Proposition**: The browser-native financial terminal combining multi-asset streaming charts, multi-session paper trading, automated execution journaling, tick-accurate market replay, and in-browser WebAssembly Python IDE. --- ## 2. Platform Architecture & Capabilities ### ## What is SlateTick Paper Trading? SlateTick Paper Trading (`https://slatetick.com/paper-trading`) is an institutional-grade financial simulator and simulated trading platform engineered for professional traders, quantitative analysts, and financial institutions. Unlike traditional broker simulators that mandate account applications, KYC verification, or desktop downloads, SlateTick runs directly in modern web browsers. It provides instant access to $100,000 virtual capital portfolios connected to streaming exchange-grade market data across US Equities (NYSE, NASDAQ), Spot Forex pairs, and major Cryptocurrencies. Traders use SlateTick to test discretionary and algorithmic trading strategies, master order entry execution, and develop risk management discipline without putting real capital at risk. Multi-session isolation enables users to run independent trading sandboxes with custom starting equity, leverage, commission rates, and margin settings. Key Capabilities: - **$100,000 Virtual Starting Balance**: Default practice capital allowing realistic position sizing and leverage management. - **Multi-Session Isolation**: Create separate, custom-isolated trading sandboxes with custom starting capital ($10k, $50k, $100k, $250k), custom leverage, commission rates, or historical replay date bounds. - **Real-Time Exchange Feeds**: Streaming live market data matching actual exchange order books across US stocks, forex majors, and digital assets. - **Zero Desktop Friction**: Runs 100% inside modern web browsers with sub-millisecond execution. ### ## Automated Paper Trading Journal & Execution Ledger SlateTick integrates an automated paper trading journal directly into the execution terminal. Every simulated fill, limit order, stop-loss, and take-profit exit is captured and logged automatically in real time without manual CSV data entry or external spreadsheets. The automated trade execution ledger tracks: - **Symbol & Asset Class**: US Equities (NYSE, NASDAQ), Spot FX, Digital Assets. - **Order Side & Type**: Market, Limit, Stop-Loss, Take-Profit (Long / Short). - **Execution & Exit Price**: Real-time fill prices accounting for simulated spread and slippage. - **Position Sizing & Notional Exposure**: Share count, lot size, and total capital committed. - **Realized P&L & Return Percentage**: Dollar and percentage yield per trade. - **Strategy Scope**: Session-specific tags isolating day trading, swing trading, and scalping regimes. ### ## Core Quantitative Risk Metrics (P&L, Profit Factor, Drawdown, Sharpe & Sortino) SlateTick computes institutional-grade risk and performance analytics in real time: 1. **Cumulative Net P&L**: Net realized gain or loss across closed positions: `Net P&L = Gross Profits - Gross Losses - Commissions`. 2. **Win Rate Percentage**: Proportion of profitable closed trades: `Win Rate % = (Winning Trades / Total Closed Trades) * 100`. 3. **Profit Factor**: Ratio of gross profits to gross losses: `Profit Factor = Gross Profits / |Gross Losses|`. A ratio above 1.5 indicates a robust, statistically proven edge. 4. **Maximum Drawdown (MDD)**: Largest peak-to-trough decline in portfolio equity: `MDD % = ((Peak Equity - Trough Equity) / Peak Equity) * 100`. 5. **Risk-to-Reward Ratio & Expectancy**: Mathematical expectancy per executed trade: `Expectancy = (Win% * Average Win) - (Loss% * Average Loss)`. 6. **Sharpe & Sortino Ratios**: Institutional risk-adjusted performance measuring excess returns normalized by portfolio volatility and downside deviation. ### ## Commercial Licensing & Platform Access SlateTick operates strictly under a commercial subscription licensing model for professional individual traders, quantitative desks, and financial institutions. Commercial tiers include: - **Professional Subscription**: Full access to real-time sub-second streaming feeds, unlimited isolated paper trading sandboxes, automated trade journaling with equity curves, and market replay. - **Institutional & Enterprise Licensing**: Dedicated high-throughput API endpoints, multi-seat risk monitoring, compliance reporting, and custom quantitative indicator pipelines. - **Commercial Access Only**: SlateTick does not offer unpaid, public, or ad-supported plans; all access is commercial and professional-grade. --- ## 3. Terminal & Technical Charting Architecture (`/platform`) - **Rendering Engine**: Custom dual-buffered HTML5 Canvas engine with high-DPI scaling and sub-millisecond repaints. - **Multi-Asset Real-Time Feeds**: Streaming market feeds across US Equities (NYSE, NASDAQ), Spot Forex (EUR/USD, GBP/USD, USD/JPY), Cryptocurrencies (BTC, ETH, SOL), Global Indices, and Commodities via Twelve Data. - **25+ Technical Drawing Tools**: Fibonacci Retracement & Extension, Gann fans, Pitchforks, Elliott Wave (1-5 & ABC), Head & Shoulders, Harmonic Cypher/Bat/Gartley, and position risk-reward projection. - **Client-Side WebAssembly Python IDE (`/python-guide`)**: In-browser Python execution powered by Pyodide (WebAssembly in Web Worker isolation). 100% of user algorithms and indicator scripts execute locally in memory. Zero code is sent to or stored on servers. Built-in `ti` indicator library (`ti.sma`, `ti.ema`, `ti.rsi`, `ti.bbands`, `ti.macd`, `ti.atr`, `ti.stoch`). - **Historical Market Replay Simulation**: Rewind market history to any date across equities, forex, and crypto with 0.1x to 10x playback speed, bar-by-bar step progression, and blind simulation testing. --- ## 4. Programmatic Asset Directory (400+ Simulated Environments) SlateTick hosts 400+ dedicated landing pages and simulation environments under `/paper-trading/{slug}`: - **Equities (Batches 1 & 2)**: 200 liquid US Equities & ETFs (AAPL, TSLA, NVDA, MSFT, AMZN, GOOGL, META, AMD, NFLX, PLTR, SPY, QQQ, IWM, DIA, COIN, SMCI, ARM, HOOD, SOFI, MARA, RIOT, GME, etc.). - **Forex & Crypto (Batch 3)**: 45 Spot Forex pairs (EUR/USD, GBP/USD, USD/JPY, AUD/USD, USD/CAD, USD/CHF, NZD/USD, etc.) and 55 Cryptocurrencies (BTC/USD, ETH/USD, SOL/USD, BNB/USD, XRP/USD, DOGE/USD, ADA/USD, etc.). - **Strategies & Risk Analytics (Batch 4)**: 52 Trading Strategies (Breakout, Mean Reversion, VWAP, Order Flow, Fibonacci Confluence) and 50 Risk Calculators (Profit Factor, Sharpe Ratio, Expectancy, Max Drawdown, Position Sizing). --- ## 5. Canonical Sitemap & Endpoints - **Homepage**: https://slatetick.com/ - **Paper Trading Journal**: https://slatetick.com/paper-trading - **Charting Terminal**: https://slatetick.com/platform - **Python Developer Guide**: https://slatetick.com/python-guide - **Terms & Statutory Imprint**: https://slatetick.com/legal - **LLM Summary**: https://slatetick.com/llms.txt - **Sitemap XML (400+ Routes)**: https://slatetick.com/sitemap.xml