TRADING VIEW

Lead-Lag Crypto Correlation Engine

---

A real-time, zero-cost proprietary trading dashboard that analyzes order flow and cross-correlation between leading and lagging crypto assets.

---

Welcome to Trading View. This component provides a local, high-frequency dashboard designed to calculate statistical cross-correlation and order flow imbalance (OFI) on live cryptocurrency tick data via public WebSockets.

---

Features

Data Ingestion & Analysis

• Real-Time WebSocket Engine: Streams tick-by-tick public trade and limit order book data directly from Binance at zero cost.
• Cross-Correlation Function (CCF): Continually measures the microsecond lag correlation between a Lead asset (BTC) and a Lag asset (SOL).
• Order Flow Imbalance (OFI): Evaluates bid/ask pressure at the top of the order book to confirm signal direction.

Runtime & Performance

• In-Memory Ring Buffers: Uses sliding windows to maintain high read/write performance on tick data directly in memory.
• Anti-Bleed Style Isolation: Scopes layout components under rigid container class keys, preventing CSS leakage into host Obsidian workspace configurations.
• Immersive Full-Tab Dashboard: Uses Datacore's native reparenting to present an edge-to-edge trading workspace overlay.

---

Directory Index & Components

The package exposes the following compiled files:

File	Description
TRADING VIEW.md	The main entry point leaf designed to be loaded inside Obsidian panes.
src/index.jsx	Main bootstrap application loader and full-tab viewport injector.
METADATA.md	Packaging manifest outlining indexing, target, and security configurations.
CONTRIBUTION.md	Contributor architecture standards and local compilation guidelines.
LICENSE.md	MIT open-source license.

---

AI Agent Integration (MCP Bridge)

The component includes a native MCP Bridge to allow AI coding assistants and autonomous agents to monitor market data and execute paper trades directly through the UI.

1. Monitoring Component State

AI agents can read data/mcp_state.json to retrieve real-time state:

• connectionStatus: 'Connected', 'Connecting', or 'Disconnected'.
• activeHost: Current WebSocket connection node (stream.binance.com or fallback stream.binance.us).
• leadAsset (BTC) & lagAsset (SOL): Instantaneous prices, OFI (Order Flow Imbalance), and spreads.

2. AI-Triggered Trade Execution

To execute a trade or reload the component, the AI writes a command payload directly to data/mcp_commands.json.

The component checks this file every 1.5 seconds. If it finds executed: false, it triggers the operation, locks the state to prevent duplicate fills, and writes back the execution results.

Buy Command Example:

{
  "action": "buy",
  "qty": 5,
  "executed": false
}

Sell Command Example:

{
  "action": "sell",
  "qty": 10,
  "executed": false
}

Reload UI Example:

{
  "action": "reload",
  "executed": false
}

Once processed, the component automatically updates the command file to:

{
  "action": "buy",
  "qty": 5,
  "executed": true,
  "executedAt": "2026-06-07T03:22:04.120Z",
  "status": "success",
  "result": {
    "id": "alpaca-order-uuid-here"
  }
}

---

Quick Start

1. Download the Repository (cloning or downloading into the Obsidian vault folder).
2. Install Datacore (ensuring the plugin is active).
3. Open the Entry Note (specifying the exact loader note TRADING VIEW.md).

---

Previews

Preview	Description
	Real-time normalized price tracking dashboard showing Lead and Lag assets.

---

Contributors

• beto.group