Skip to main content
Glama
alphaparkinc

genpark-quant-concentrated-liquidity-tick-optimizer-skill

by alphaparkinc
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

genpark-quant-concentrated-liquidity-tick-optimizer-skill

Organization Model Context Protocol Zero-Dependency Python Version Domain License

Production-grade Quantitative Finance & DeFi Microstructure skill engineered strictly with Python standard library. Provides real-time concentrated liquidity optimization, L2 orderbook imbalance metrics, negative-cycle triangular arbitrage detection, and Bayesian Black-Litterman portfolio rebalancing via the Model Context Protocol (MCP).

Architecture & Data Flow

flowchart TD
    MarketFeed[L2 Tick / Orderbook / Exchange Rate Matrix / Covariance] --> Normalizer[Data Normalizer]
    Normalizer --> Core["GenParkQuantConcentratedLiquidityTickOptimizer"]
    Core --> Analytics[Microstructure & Optimization Engine]
    Analytics --> RiskGuard[Slippage & Drawdown Constraints]
    RiskGuard --> MCPOutput[Standard MCP Tool Result / Execution Vector]

Related MCP server: GenPark Quant Orderbook L2 Microstructure Imbalance MCP Server

Quickstart & Usage

1. Direct Python Client Execution

python example_usage.py

2. Standalone MCP Server Launch

Run the native STDIO MCP server:

python mcp_server.py

License

This project is licensed under the MIT License - see the LICENSE file for details.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • GenParkQuantConcentratedLiquidityTickOptimizer by Alpha-Park

    GenParkQuantConcentratedLiquidofficial

    Alpha-Park
    A
    license
    Not graded
    quality
    B
    maintenance
    Enables MCP clients to optimize Uniswap v3/v4 tick ranges by balancing fee APY against impermanent loss under asset volatility, while providing L2 orderbook imbalance, triangular arbitrage, and Bayesian portfolio rebalancing analytics.
    7
    MIT
  • GenPark Quant Orderbook L2 Microstructure Imbalance MCP Server by alphaparkinc

    GenPark Quant Orderbook L2official

    alphaparkinc
    A
    license
    Not graded
    quality
    B
    maintenance
    Enables computing weighted orderbook imbalance, micro-price, and market-order VWAP execution slippage, alongside concentrated liquidity optimization, negative-cycle triangular arbitrage detection, and Bayesian Black-Litterman portfolio rebalancing, through standard MCP tool calls.
    7
    MIT

  • GenParkQuantOrderbookL2Microst

    Alpha-Park
    A
    license
    Not graded
    quality
    B
    maintenance
    Enables real-time L2 orderbook microstructure analysis with weighted imbalance and micro-price, concentrated liquidity optimization, triangular arbitrage detection, and Bayesian portfolio rebalancing through MCP tools.
    7
    MIT