### Repository Management and Configuration Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Illustrates repository setup including .gitignore, environment file examples, and directory restructuring for better organization. ```bash # Comprehensive .gitignore file to exclude sensitive data and build artifacts node_modules/ dist/ .env *.log ``` ```bash # Example environment file (.env.example) for documentation purposes OPENAI_API_KEY=your_openai_api_key_here ANTHROPIC_API_KEY=your_anthropic_api_key_here ``` ```bash # Test files moved from root and src directories to tests/manual/ # Documentation files organized in a dedicated docs/ directory # All file references and imports updated to maintain functionality ``` -------------------------------- ### Project Structure and Configuration Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Describes the initial project setup including TypeScript configuration and MCP server implementation. ```typescript // TypeScript setup with proper typing interface UserConfig { llmProvider: 'openai' | 'anthropic'; apiKey: string; } // MCP server implementation import express from 'express'; const app = express(); // Configuration system for user preferences function loadConfig(): UserConfig { // ... implementation to load user preferences return { llmProvider: 'openai', apiKey: 'mock_key' }; } // File loading and management for PineScript files function loadPineScriptFile(filePath: string): string { // ... implementation to load PineScript file content return "//@version=5\nindicator('My Script')"; } ``` -------------------------------- ### Install Dependencies Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/README.md Installs the necessary Node.js dependencies for the project using npm. ```bash npm install ``` -------------------------------- ### Integration - Tool Registration and Testing Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Describes the integration aspects including FastMCP integration, tool registration, and testing framework setup. ```typescript // FastMCP integration for Cursor // Tool registration for all components // Testing framework setup // Example of a tool registration function function registerTool(name: string, handler: Function) { console.log(`Registering tool: ${name}`); // ... registration logic } // Example of a test setup function setupTests() { console.log('Setting up testing framework...'); // ... test setup logic } // Type safety throughout the application interface PineScriptError { message: string; line: number; column: number; } function processError(error: PineScriptError): void { console.error(`Error at line ${error.line}: ${error.message}`); } ``` -------------------------------- ### Project Directory Structure Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/docs/PinescriptProject1Plan.md Illustrates the proposed directory structure for the TradingView PineScript MCP Server project, outlining the organization of source files, tests, examples, and configuration. ```tree tradingview-mcp/ ├── src/ │ ├── index.ts # Main entry point │ ├── validators/ # PineScript validation logic │ │ ├── syntaxValidator.ts # Basic syntax validation │ │ └── versionValidator.ts # Version-specific validation │ ├── fixers/ # Error correction modules │ │ ├── commonFixes.ts # Common error patterns and fixes │ │ └── errorAnalyzer.ts # Error message analysis │ ├── templates/ │ │ ├── strategies/ # Trading strategy templates │ │ └── indicators/ # Technical indicator templates │ └── utils/ │ ├── versionDetector.ts # Detect PineScript version │ └── formatter.ts # Code formatting ├── tests/ # Test suite ├── examples/ # Example scripts and usage patterns ├── package.json # Dependencies and scripts └── README.md # Documentation ``` -------------------------------- ### Start MCP Server Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/README.md Starts the Model Context Protocol (MCP) server using stdio transport for client communication. ```bash npm run start-server ``` -------------------------------- ### Run in Development Mode Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/README.md Starts the server in development mode with features like automatic reloading. ```bash npm run dev ``` -------------------------------- ### LLM Integration - User Configuration and Mock Implementation Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Details user configuration for LLM settings and the mock implementation for development and testing. ```typescript // User configuration for LLM settings interface LLMConfig { provider: 'openai' | 'anthropic' | 'mock'; modelName?: string; apiKey?: string; } // Mock implementation for development and testing class MockLLMProvider { analyzeStrategy(strategyCode: string): Promise { console.log('Using mock LLM for strategy analysis...'); return Promise.resolve('Mock analysis result for: ' + strategyCode.substring(0, 30) + '...'); } } // CLI commands for strategy analysis and enhancement function runStrategyAnalysis(filePath: string): void { const scriptContent = loadPineScriptFile(filePath); const mockProvider = new MockLLMProvider(); mockProvider.analyzeStrategy(scriptContent).then(result => { console.log('Analysis Result:', result); }); } // Structure for multiple LLM providers (OpenAI, Anthropic) // This would typically involve a factory pattern or similar approach // to select the correct provider based on configuration. ``` -------------------------------- ### CLI Commands for Strategy Analysis Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Illustrates the command-line interface commands for strategy analysis and enhancement, including mock LLM usage. ```bash # CLI commands for strategy analysis and enhancement # Example: Analyze a PineScript strategy file using the CLI # node cli.js analyze --file path/to/your/strategy.pine # Example: Enhance a strategy (using mock data currently) # node cli.js enhance --file path/to/your/strategy.pine --output path/to/enhanced/strategy.pine ``` -------------------------------- ### OpenAI Provider Integration Plan Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Plan for integrating the OpenAI provider, including API authentication, retry logic, error handling, and prompt template fine-tuning. ```APIDOC OpenAI Provider Integration: - Implement real OpenAI provider integration - Add proper API authentication - Implement retry logic and error handling - Fine-tune prompt templates for best results ``` -------------------------------- ### PineScript Tools - Version Management and History Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Covers version management, conversion between PineScript versions, and script history tracking. ```pinescript // Version management and conversion between versions // Script history tracking and comparison //@version=4 // Example of a script that might need conversion to version 5 // plot(sma(close, 14)) ``` -------------------------------- ### PineScript Tools - Formatting and Validation Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Details PineScript syntax validation, version detection, and code formatting capabilities. ```pinescript // PineScript syntax validation // Version detection and specification //@version=5 // Code formatting with customizable options plot(close, color=color.blue, linewidth=2) ``` -------------------------------- ### Cursor MCP Server Configuration (JSON) Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/docs/PinescriptProject1Plan.md Shows the configuration for the MCP server within Cursor IDE settings. It specifies the command to execute and its arguments for launching the 'tradingview-pinescript-mcp' package. ```json { "mcpServers": { "tradingview-pinescript": { "command": "npx", "args": [ "-y", "tradingview-pinescript-mcp" ] } } } ``` -------------------------------- ### Web Dashboard Development Plan Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Plan for creating a web dashboard to manage strategies, display analysis results, compare versions, and visualize backtest results. ```APIDOC Web Dashboard Development: - Create a web dashboard for strategy management - Display strategy analysis results - Compare different strategy versions - Visualize backtest results ``` -------------------------------- ### Web Interface User Authentication Plan Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Plan for adding user authentication to the web interface, covering registration, login, secure API key storage, and user-specific strategy storage. ```APIDOC Web Interface User Authentication: - Add user authentication for web interface - User registration and login - Secure API key storage - User-specific strategy storage ``` -------------------------------- ### Configuration Management Diagram Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/systemPatterns.md Depicts the hierarchical configuration management system, showing the flow from default to runtime configuration, including file loading and validation. ```mermaid flowchart TD DefaultConfig[Default Configuration] --> UserConfig[User Configuration] UserConfig --> RuntimeConfig[Runtime Configuration] ConfigFile[Configuration File] --> ConfigLoader[Config Loader] ConfigLoader --> UserConfig ConfigValidation[Config Validation] --> ConfigLoader ConfigStorage[Config Storage] --> ConfigFile ``` -------------------------------- ### LLM Integration Architecture Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/systemPatterns.md Depicts the modular architecture of the LLM integration within the PineScript MCP system, showing how CLI Commands and MCP Tools interact with the LLM Service, which utilizes a Provider Factory, Response Parsers, and Prompt Templates to communicate with various LLM providers like OpenAI, Anthropic, and a Mock Provider. ```mermaid flowchart TD CLI[CLI Commands] --> LLMService[LLM Service] MCP[MCP Tools] --> LLMService LLMService --> ProviderFactory[Provider Factory] LLMService --> ResponseParsers[Response Parsers] LLMService --> PromptTemplates[Prompt Templates] ProviderFactory --> OpenAI[OpenAI Provider] ProviderFactory --> Anthropic[Anthropic Provider] ProviderFactory --> Mock[Mock Provider] OpenAI --> OpenAIAPI[OpenAI API] Anthropic --> AnthropicAPI[Anthropic API] ``` -------------------------------- ### Data Flow Diagram Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/systemPatterns.md Illustrates the data processing pipeline from input script to optimized version, including validation, LLM analysis, and backtesting stages. ```mermaid flowchart LR Input[Input Script] --> Validation[Validation] Validation --> |Valid| Analysis[LLM Analysis] Validation --> |Invalid| Fixing[Error Fixing] Fixing --> Validation Analysis --> Suggestions[Improvement Suggestions] Analysis --> EnhancedVersions[Enhanced Versions] EnhancedVersions --> Validation EnhancedVersions --> Testing[Backtesting] Testing --> Results[Results Analysis] Results --> FinalVersion[Optimized Version] ``` -------------------------------- ### Clone Repository Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/README.md Clones the project repository from GitHub. ```bash git clone https://github.com/yourusername/pinescriptproject1.git cd pinescriptproject1 ``` -------------------------------- ### LLM Analysis Integration with Backtesting Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Plan to integrate LLM analysis with backtesting results, including parsing TradingView output and providing AI-powered recommendations. ```APIDOC LLM Analysis Integration: - Integrate LLM analysis with backtesting results - Parse TradingView backtest output - Provide AI-powered recommendations based on performance data ``` -------------------------------- ### Iterative Strategy Optimization Workflow Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/ProjectPlanPhase2.md Visual representation of the iterative optimization pipeline using LLM. It shows the flow from an original strategy through LLM analysis, enhancement, backtesting, and final refinement. ```text Original Strategy → LLM Analysis → Enhanced Versions → Backtest Results → LLM Interpretation → Further Enhancements → Final Strategy ``` -------------------------------- ### Phase 2 LLM-driven Optimization Plan Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Creation of a comprehensive plan for Phase 2, focusing on LLM-driven optimization. ```APIDOC Phase 2 LLM-driven Optimization Plan: - Created comprehensive plan for Phase 2 LLM-driven optimization ``` -------------------------------- ### Repository Restructuring Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Restructuring of the project repository for improved organization. ```APIDOC Repository Restructuring: - Restructured repository for better organization ``` -------------------------------- ### Build Project Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/README.md Builds the project, likely compiling TypeScript or bundling JavaScript assets. ```bash npm run build ``` -------------------------------- ### High-Level Architecture Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/systemPatterns.md Illustrates the layered architecture of the PineScript MCP system, showing the flow of control from the CLI and MCP Protocol layers to the Service layer and then to the Core Functionality, which interacts with various sub-modules like Validators, Fixers, Templates, Version Management, LLM Integration, and Configuration. ```mermaid flowchart TD CLI[CLI Layer] --> Services[Service Layer] MCP[MCP Protocol Layer] --> Services Services --> Core[Core Functionality] Core --> Validators[Validators] Core --> Fixers[Fixers] Core --> Templates[Templates] Core --> VersionMgmt[Version Management] Core --> LLM[LLM Integration] Core --> Config[Configuration] ``` -------------------------------- ### MCP Server Component Architecture Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/systemPatterns.md Details the architecture of the MCP Server, highlighting the FastMCP Server's interaction with various tools, including Tool Registration, Validator Tools, Fixer Tools, Template Tools, Version Tools, Config Tools, Format Tools, and LLM Analysis Tools. ```mermaid flowchart TD MCP[FastMCP Server] --> Tools[Tool Registration] Tools --> Validators[Validator Tools] Tools --> Fixers[Fixer Tools] Tools --> Templates[Template Tools] Tools --> VersionTools[Version Tools] Tools --> ConfigTools[Config Tools] Tools --> FormatTools[Format Tools] Tools --> LLMTools[LLM Analysis Tools] ``` -------------------------------- ### Anthropic Provider Integration Plan Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Plan for integrating the Anthropic provider, focusing on API authentication and Claude-specific features and optimizations. ```APIDOC Anthropic Provider Integration: - Implement real Anthropic provider integration - Add proper API authentication - Implement Claude-specific features and optimizations ``` -------------------------------- ### MCP Server Core Functionality (TypeScript) Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/docs/PinescriptProject1Plan.md Demonstrates the core functionality of the MCP server, including initialization, and the definition of tools for validating and fixing PineScript code. It uses the 'fastmcp' library and defines parameters and handlers for each tool. ```typescript import { FastMCP, Context } from 'fastmcp'; // Initialize MCP server const mcp = new FastMCP('TradingView PineScript MCP'); // Validator tool mcp.tool({ name: 'validate_pinescript', description: 'Validates PineScript code for syntax errors', parameters: { script: { type: 'string', description: 'PineScript code to validate' }, version: { type: 'string', description: 'PineScript version (v4, v5, v6)', required: false, default: 'v5' } }, handler: async (params, ctx) => { const { script, version } = params; // Validation logic will be implemented here return { /* validation results */ }; } }); // Error fixer tool mcp.tool({ name: 'fix_pinescript_errors', description: 'Automatically fixes common PineScript syntax errors', parameters: { script: { type: 'string', description: 'PineScript code with errors' }, error_message: { type: 'string', description: 'Error message from TradingView' } }, handler: async (params, ctx) => { const { script, error_message } = params; // Error fixing logic will be implemented here return { /* fixed script */ }; } }); // Additional tools will be implemented similarly ``` -------------------------------- ### Run Tests Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/README.md Executes the project's test suite to ensure code quality and functionality. ```bash npm test ``` -------------------------------- ### LLM Service Architecture (TypeScript) Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/activeContext.md Details the service architecture for interacting with language models, including provider selection and interfaces for strategy analysis and enhancement. A mock provider is included for testing. ```TypeScript import { LLMProvider } from './interfaces'; import { MockLLMProvider } from './mockProvider'; import { OpenAIProvider } from './openAIProvider'; // Assuming this will be implemented class LLMService { private provider: LLMProvider; constructor(config: any) { // Factory pattern to select provider based on configuration if (config.llm.provider === 'mock') { this.provider = new MockLLMProvider(config.llm.mockConfig); } else if (config.llm.provider === 'openai') { this.provider = new OpenAIProvider(config.llm.openaiConfig); } else { throw new Error(`Unsupported LLM provider: ${config.llm.provider}`); } } async analyzeStrategy(strategyCode: string): Promise { return this.provider.analyzeStrategy(strategyCode); } async enhanceStrategy(strategyCode: string): Promise { return this.provider.enhanceStrategy(strategyCode); } } export { LLMService }; ``` -------------------------------- ### Core Components Architecture Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/systemPatterns.md Provides a breakdown of the core components within the PineScript MCP system, illustrating the relationships between the Configuration System, Validation System, Fixing System, Template System, Version System, and LLM Integration. ```mermaid flowchart TD Config[Configuration System] --> UserConfig[User Config] Config --> SystemConfig[System Config] Validation[Validation System] --> SyntaxValidator[Syntax Validator] Validation --> RuleValidator[Rule Validator] Fixing[Fixing System] --> ErrorFixer[Error Fixer] Fixing --> DeprecationFixer[Deprecation Fixer] Templates[Template System] --> TemplateManager[Template Manager] Templates --> TemplateRepo[Template Repository] Versions[Version System] --> VersionDetector[Version Detector] Versions --> VersionConverter[Version Converter] Versions --> VersionManager[Version Manager] LLM[LLM Integration] --> LLMService[LLM Service] LLM --> Providers[Provider Implementations] LLM --> Analysis[Strategy Analysis] LLM --> Generation[Strategy Generation] ``` -------------------------------- ### User Configuration for LLM (TypeScript) Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/activeContext.md Functions for managing user configuration related to LLM providers and settings, including loading and updating configurations. ```TypeScript import * as fs from 'fs'; import * as path from 'path'; interface LLMConfig { provider: 'openai' | 'anthropic' | 'mock'; openaiConfig?: { apiKey: string; model: string; }; anthropicConfig?: { apiKey: string; model: string; }; mockConfig?: { // Mock specific configurations }; } interface UserConfig { llm: LLMConfig; // Other configurations... } const defaultConfig: UserConfig = { llm: { provider: 'mock', mockConfig: {} } }; function loadUserConfig(): UserConfig { const configPath = path.join(process.cwd(), 'userconfig.json'); // Example path if (fs.existsSync(configPath)) { const configFile = fs.readFileSync(configPath, 'utf-8'); return { ...defaultConfig, ...JSON.parse(configFile) }; } else { return defaultConfig; } } function updateUserConfig(newConfig: Partial): void { const configPath = path.join(process.cwd(), 'userconfig.json'); const currentConfig = loadUserConfig(); const updatedConfig = { ...currentConfig, ...newConfig }; fs.writeFileSync(configPath, JSON.stringify(updatedConfig, null, 2)); } export { loadUserConfig, updateUserConfig, UserConfig, LLMConfig }; ``` -------------------------------- ### LLM Integration Structure Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Defines the directory structure for LLM service integration and strategy analysis components. ```json { "src": { "llm": {}, "core": { "strategy": {} }, "automation": { "analysis": {}, "backtesting": {} } } } ``` -------------------------------- ### CLI Commands for LLM Integration (TypeScript) Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/activeContext.md Implementation of CLI commands for interacting with the LLM service, including strategy analysis, enhancement, and configuration management. ```TypeScript import { program } from 'commander'; import { LLMService } from '../services/llmService'; import { loadUserConfig } from '../config/userConfig'; import * as fs from 'fs'; const config = loadUserConfig(); const llmService = new LLMService(config); program .command('llm analyze ') .description('Analyze a PineScript strategy file using LLM') .action(async (strategyFile) => { const strategyCode = fs.readFileSync(strategyFile, 'utf-8'); const analysis = await llmService.analyzeStrategy(strategyCode); console.log('Strategy Analysis:\n', analysis); }); program .command('llm enhance ') .description('Enhance a PineScript strategy file using LLM') .action(async (strategyFile) => { const strategyCode = fs.readFileSync(strategyFile, 'utf-8'); const enhancedStrategy = await llmService.enhanceStrategy(strategyCode); console.log('Enhanced Strategy:\n', enhancedStrategy); }); program .command('llm config') .description('Manage LLM settings') .action(() => { console.log('LLM Configuration:', config.llm); // Add logic here to modify config }); program.parse(process.argv); ``` -------------------------------- ### Version Management System Enhancement Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/memory-bank/progress.md Enhancement of the version management system for upgrading PineScript code. ```APIDOC Version Management System Enhancement: - Enhanced version management system for upgrading PineScript code ``` -------------------------------- ### TypeScript Implementation of LLM-driven Strategy Optimization Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/ProjectPlanPhase2.md A TypeScript function demonstrating the implementation of the iterative optimization pipeline. It includes steps for initial analysis, generating enhanced strategies, processing backtest results, and generating a final optimized script. ```typescript async function optimizeStrategyWithLLM(originalScript: string, tradingPair: string, timeframe: string) { // Step 1: Initial analysis const initialAnalysis = await analyzeStrategyWithLLM(originalScript); // Step 2: Generate enhanced versions const enhancedVersions = await generateEnhancedStrategies(originalScript, initialAnalysis); // Step 3: User runs backtests and provides results console.log("Generated enhanced strategy versions. Please run backtests in TradingView and provide results."); // Step 4: Analyze backtest results (user would provide these) const backtestAnalysis = await analyzeTradingViewBacktestResults(userProvidedBacktestResults); // Step 5: Generate final optimized version based on backtest feedback const finalOptimizationPrompt = ` Based on the backtest results analysis: ${JSON.stringify(backtestAnalysis)} And these previously enhanced versions: ${JSON.stringify(enhancedVersions)} Create a final optimized version of the strategy that incorporates: 1. The best performing aspects of each enhanced version 2. Additional improvements based on the backtest results 3. Fine-tuned parameters based on performance Provide the complete PineScript code for the final optimized strategy. `; const finalVersionResponse = await callLLM(finalOptimizationPrompt); let finalScript = extractScriptFromLLMResponse(finalVersionResponse); // Final validation and formatting const validationResult = validatePineScript(finalScript); if (!validationResult.valid) { finalScript = fixPineScriptErrors(finalScript).script; } finalScript = formatPineScript(finalScript); return { originalScript, enhancedVersions, backtestAnalysis, finalScript, optimizationNotes: extractOptimizationNotes(finalVersionResponse) }; } ``` -------------------------------- ### Generate Enhanced PineScript Strategies Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/ProjectPlanPhase2.md Generates multiple enhanced versions of a PineScript strategy based on LLM analysis. It incorporates improvements in entry/exit logic, risk management, and parameter optimization. The generated strategies are then validated and formatted using existing MCP server functions. ```typescript async function generateEnhancedStrategies(originalScript: string, llmAnalysis: any) { const enhancementPrompt = ` Based on this analysis of a PineScript strategy: ${JSON.stringify(llmAnalysis)} Generate 3 different enhanced versions of this original strategy: ${originalScript} 1. Version with improved entry/exit logic 2. Version with added risk management 3. Version with optimized parameters For each version, explain the changes made and expected improvement. `; const llmResponse = await callLLM(enhancementPrompt); const enhancedVersions = parseEnhancedVersions(llmResponse); // Use our existing validation to ensure all versions are valid return enhancedVersions.map(version => { // Validate and fix any syntax issues const validationResult = validatePineScript(version.script); if (!validationResult.valid) { version.script = fixPineScriptErrors(version.script).script; } // Format for consistency version.script = formatPineScript(version.script); return version; }); } ``` -------------------------------- ### Analyze TradingView Backtest Results with LLM Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/ProjectPlanPhase2.md Analyzes TradingView backtest results using an LLM to extract performance metrics, identify strengths and weaknesses, and provide recommendations for improvement. This tool helps in interpreting backtest data and suggesting parameter adjustments. ```typescript async function analyzeTradingViewBacktestResults(backtestResults: any) { const analysisPrompt = ` Analyze these TradingView backtest results: ${JSON.stringify(backtestResults)} Identify: 1. Key strengths in the performance 2. Areas of concern (high drawdown, low win rate, etc.) 3. Specific suggestions to address performance issues 4. Parameters that should be adjusted based on these results Respond with actionable recommendations for improving the strategy. `; return await callLLM(analysisPrompt); } ``` -------------------------------- ### Enhancement Generator Tool Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/ProjectPlanPhase2.md Introduces a tool named 'generate_enhanced_strategies' that leverages an LLM to create multiple improved versions of an original PineScript strategy based on provided analysis. ```typescript mcp.addTool({ name: 'generate_enhanced_strategies', description: 'Generate multiple enhanced versions of a PineScript strategy', parameters: z.object({ script: z.string().describe('The original PineScript strategy'), analysis: z.string().describe('Strategy analysis from analyze_strategy tool') }), execute: async (params) => { const enhancedVersions = await generateEnhancedStrategies( params.script, JSON.parse(params.analysis) ); return JSON.stringify(enhancedVersions); } }); ``` -------------------------------- ### Strategy Analysis Tool Source: https://github.com/cyberbob07/pinescript-mcp-server/blob/master/ProjectPlanPhase2.md Defines a new tool for the MCP server named 'analyze_strategy'. This tool uses an LLM to analyze a given PineScript strategy and suggest improvements. It takes the strategy script, trading pair, and timeframe as input. ```typescript // Add to index.ts mcp.addTool({ name: 'analyze_strategy', description: 'Analyze a PineScript strategy with LLM and suggest improvements', parameters: z.object({ script: z.string().describe('The PineScript strategy to analyze'), trading_pair: z.string().describe('The trading pair/symbol').optional(), timeframe: z.string().describe('The timeframe (1h, 4h, 1d, etc.)').optional() }), execute: async (params) => { const analysis = await analyzeStrategyWithLLM(params.script); return JSON.stringify(analysis); } }); ```