- Add performance badges: 10K records in 53ms, 150x faster
- Detailed benchmark table: 1ms (100) to 53ms (10K records)
- Per-data-type benchmarks: Bloomberg 12ms, Medical 15ms
- Comparison vs traditional tools: Faker.js ~800ms, Python ~1200ms
- Add AI Memory Engine integration section with code example
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Rewrite intro with clear 'What Is This?' explanation
- Add 'Who Is This For?' user type table
- Add visual 'How It Works' diagram
- Add '9 Trading Modes' comparison table
- Add 'Feature Comparison' vs traditional methods
- Add 'Strategy Benchmarks' with win rates and Sharpe ratios
- Add 'Technical Capabilities' summary table
- Add 'Performance Specs' benchmarks
- Add 'Supported Markets' with data sources
- Remove duplicate sections from later in document
- Remove emojis from enumTitles that may break UI parsing
- Add prefill property to all fields for proper default display
- Add detailed description text for every field with help info
- Organize into 11 logical sections with sectionCaption/Description
- Set optimized default values for all 60+ parameters
- Ensure proper editor types for all fields (number, select, checkbox)
- Add integrate_trading action for AI trading signal integration
- Add Trading Integration UI section in input_schema.json
- Support live mode (call Neural Trader actor) and simulated mode
- Store trading signals as searchable memories
- Add trading history search via semantic similarity
- Support multiple strategies: ensemble, neural_momentum, lstm_prediction, transformer_attention, reinforcement
- Fix apifyToken variable scope issue
Build 1.0.26 deployed to Apify.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Adds backtest, sports_betting, prediction_markets, and arbitrage modes
to the Apify input schema for Actor validation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Implements all missing modes from input schema:
- sports_betting: Kelly Criterion, The Odds API, arbitrage detection
- prediction_markets: Polymarket API, probability modeling
- arbitrage: Cross-exchange crypto, DeFi opportunities
- backtest: Historical simulation, Monte Carlo confidence intervals
- train: Gradient descent neural network training, early stopping
- analyze: Deep technical analysis, pattern recognition, Fibonacci
- live: Alpaca API integration, dry run mode
Each mode includes comprehensive routing in Actor.main with proper
error handling and output formatting.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- 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>
- Added sectionCaption and sectionDescription for organized UI groups
- Added prefill, unit, and nullable properties
- Enhanced enumTitles with descriptive labels and emoji icons
- Fixed @huggingface/transformers version (^2.0.0 → ^3.0.0)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add agentic-synth actor with TRM/SONA self-learning
- Integrate 13 popular Apify scrapers for data grounding
- Add 6 use case templates (lead-intelligence, competitor-monitor, etc.)
- Include MCP server for AI agent integration
- Add comprehensive README with tutorials and SEO optimization
- Support generate/integrate/template modes
- Add webhook and embedding generation support
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
