3 commits

Author	SHA1	Message	Date
rUv	f1ebdf853a	fix(apify): Fix input schema validation for all actors ... - Added title and description to all nested object properties - Fixed confidenceLevel type from number to string for select editor - Fixed patterns editor from stringList to select with enum - Removed neural-trader native dependency from neural-trader-system All 6 actors now successfully deployed to Apify: - AI Trading Simulator (N1s3iuVcCrz5wcnoV) - Agent Training Factory (qP6kNaWoD6VqpwhZr) - Market Research Swarm (PVyyfXAwFMRqfwCuC) - Financial Stress Test (7K3WQwvPHq2h7iyE8) - RAG Knowledge Builder (Dhtq8JwapevaRtgAw) - Neural Trader System (BizYfvSOLAmZdIUD2) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2025-12-13 18:01:43 +00:00
rUv	b1e9c2a314	fix(apify): Correct actor.json paths for input, dockerfile, and readme ... - Fixed input_schema.json paths (removed .actor/ prefix) - Fixed Dockerfile paths (removed .actor/ prefix) - Fixed README paths to ../README.md (parent directory) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2025-12-13 17:48:13 +00:00
rUv	b51a0daa04	feat(apify): Add 6 new AI-powered Apify actors ... New actors added to examples/apify/: 1. AI Trading Simulator - 4 trading strategies (mean reversion, momentum, breakout, ML neural) - Technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) - Backtesting with Sharpe/Sortino ratios, max drawdown 2. Agent Training Data Factory - 6 dataset types for AI agent training - HuggingFace-compatible output formats - Real-world data grounding from Apify actors 3. Market Research Swarm - 10 specialized agent roles - Multi-agent competitive intelligence - Consensus-based analysis 4. Financial Stress Testing - VaR calculation (parametric, historical, Monte Carlo) - 10 pre-built crisis scenarios (2008, COVID, flash crash) - Basel III regulatory reporting 5. RAG Knowledge Base Builder - 4 chunking strategies (semantic, fixed, paragraph, sentence) - Multiple embedding models (OpenAI, Cohere, local) - 6 output formats (Pinecone, Weaviate, Qdrant, Chroma, AgentDB) 6. Neural Trader System - LSTM, Transformer, ensemble neural strategies - Portfolio optimization with risk management - Swarm coordination for consensus predictions All actors include: - MCP server integration (@apify/actors-mcp-server) - Comprehensive README with quick start guides - SEO-optimized metadata and keywords - ruv.io references 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2025-12-13 17:41:20 +00:00