Market Pulse - Dual Signal Comparison
10 Stocks: AAPL, MSFT, AMZN, NVDA, TSLA, META, GOOGL, JPM, XOM, SPY
Ticker Compute Signal Learning Signal Difference MAE Iterations Converged Convergence
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FutureQuant Simulator

Quick Start: SymbolStrategyTrain or Trade
AI Engine: ML models learn from market data to predict price movements using technical analysis
Performance: Based on FutureQuant Transformer : 0.1193% avg gain per 30-min trade
Data Source: Yahoo Finance via yfinance - US market hours (9:30-4:00 ET)
FutureQuant Tech Stack
qf-lib
MLflow
PyTorch
scikit-learn
ML + Risk Mgmt
$0.00
+0.00%
0
Contracts
Train first, then Trade
Price Chart
Distribution
FutureQuant Strategy Concept
Distribution-Based Futures Trading Strategy

Instead of predicting exact prices, the FutureQuant strategy forecasts the probability distribution of future price movements, enabling traders to make informed decisions under market uncertainty by understanding both potential gains and risks across different scenarios.

Trading Workflow
1. Get Data
Download market data
2. Build Features
Calculate indicators
3. Train Models
AI learns patterns
4. Start Trading
Paper trade safely
What Makes It Smart
AI Learning
  • Smart Models: AI that gets better over time
  • Multiple Approaches: Combines different prediction methods
  • Probability Estimates: Shows confidence in predictions
  • Market Patterns: Recognizes 50+ trading signals
Trading Strategy
  • Pattern Recognition: Finds when prices are too high/low
  • Trend Following: Rides market momentum
  • Risk Control: Manages position sizes and losses
  • Fast Signals: Updates predictions every second
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🤖 AI Platform Comparables
What is this? This section compares leading AI/LLM platforms and toolkits that serve as alternatives or complements to OpenRouter for LLM access, orchestration, monitoring, and local inference.
Commercial Open-Source Monitoring Orchestration Local
(Interactive chart coming soon: popularity, speed, or cost comparison)

Platform Comparison

Platform Description Key Features Notes Action
OpenRouterUnified API for commercial LLMsOpenAI, Anthropic, Cohere, Mistral, etc.; OpenAI-compatible APIBest for commercial LLM aggregation Learn More
Together.aiOpen LLM inference platformMixtral, LLaMA, Gemma, etc.; OpenAI-compatible APIOften free/cheaper, focused on open models Learn More
Hugging FaceModel hub & inference endpoints100,000+ models, Spaces, datasets, OSS focusLargest OSS model library Learn More
Fireworks.aiOSS LLM hosting at scaleFast, OpenAI-style endpoint, Mistral, LLaMA2Production-grade OSS LLMs Learn More
Groq APIUltra-fast inference (Mixtral)Low latency, custom hardware, MixtralLimited to select models Learn More
Anyscale EndpointsHosted open LLMsOpenAI-compatible, Ray-based, cost-efficientPerformance/cost focus Learn More
Ollama (local)Run LLMs locallyCLI/API, LLaMA2, Code LLaMA, MistralFor local/dev use only Learn More
Vercel AI SDKLLM app toolkitUnified LLM access, OpenAI, Anthropic, CohereRequires Vercel + backend Learn More
LangChainLLM orchestration frameworkMulti-LLM routing, agents, pluginsYou write orchestration logic Learn More
HeliconeLLM API logging/monitoringProxy, dashboards, analyticsNot a router, but often used with OpenRouter Learn More
PromptLayerPrompt management & trackingLogs, versions, routes promptsGreat for prompt versioning Learn More

Parameter Explanations

Model: Choose the AI model that best fits your needs. Each model has different strengths and capabilities.
Temperature: Controls randomness in responses. Lower values (0.1-0.3) make responses more focused and deterministic. Higher values (0.7-1.0) make responses more creative and varied. Range: 0.0 to 2.0.
Max Tokens: Limits the length of the AI response. Higher values allow longer, more detailed responses. Lower values create shorter, more concise answers. Range: 100 to 4000 tokens.

🧠 Summary of Positioning

  • Best router for commercial LLMs: OpenRouter
  • Best for open-source LLMs: Together.ai, Fireworks.ai
  • Best for monitoring/tracking: Helicone, PromptLayer
  • Best for orchestration & logic: LangChain
  • Best for local dev: Ollama

Use Case → Best Tool(s) → Highlights

Use Case Best Tool(s) Highlights
Commercial LLM Aggregation🏆 OpenRouterUnified access to OpenAI, Anthropic, Cohere, etc.
Open-Source Model AccessTogether.ai, Fireworks.aiFast, cost-efficient access to Mixtral, LLaMA, Mistral
Prompt Logging & MonitoringHelicone, PromptLayerDashboards, prompt tracking, version control
LLM Orchestration LogicLangChainWorkflow control, multi-model routing, agents
Local Model RunningOllamaRun LLMs (like LLaMA2) locally via CLI/API
Fast Open-Source InferenceGroq APILightning-fast Mixtral, low latency
Custom App IntegrationVercel AI SDKLLM abstraction with Vercel + custom backend
Performance-Focused LLM APIsAnyscale EndpointsOptimized OpenAI-compatible APIs, from Ray team
Want a visual diagram of these tools by category? Let us know!

🔍 Detailed Free Model Comparison

Updated Models: This section provides a comprehensive comparison of the latest free models available on OpenRouter, including context windows, performance metrics, and use case recommendations.
High Context Fast Inference Multilingual Code Focused Chat Optimized Experimental
Model Name Provider Context Window Performance Model Size Best For Strengths Notes

Model Performance Comparison

Context window size vs. model performance rating
🏆 Top Recommendations
  • Best Overall: DeepSeek Chat V3 (chat-optimized)
  • Best for Code: Mistral Small 3.2 (strong reasoning)
  • Best for Long Context: Kimi K2 (200K tokens)
  • Fastest: Gemma 3N (2B parameters)
  • Most Experimental: Quasar Alpha (cutting-edge)
📊 Performance Metrics
  • Context Range: 8K - 200K tokens
  • Model Sizes: 2B - 24B+ parameters
  • All Models: Free tier available
  • API Compatibility: OpenAI-compatible
  • Total Models: 9 free models
Market Overtime
📊 Enhanced Volatility Explorer
📈 Rolling volatility reveals when the stock experienced sharp price movements.
🎯 Regime analysis identifies different market conditions and volatility patterns.
Trading Strategy Analyzer

🏌️ Golf Factor Analysis

AI-powered analysis to determine the optimal time to play golf courses across the United States

Filter by Location

Select a location to see the top golf course recommendations for that area.

Top Recommendations

FutureQuant Trader Dashboard

Distributional Futures Trading Platform - Research, Backtesting & Paper Trading

Quick Start Guide:
  1. Select a Symbol (e.g., ES for S&P 500 futures)
  2. Choose a Strategy based on your risk tolerance
  3. View Charts to analyze market data
  4. Train Models or run backtests to test strategies
Current Price

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Volume

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Contracts
Strategy
Symbol
Price Chart
Distribution
Model Training
Paper Trading
Live Dashboard
Performance Chart
Strategy Details

Select a strategy to view details

Recent Signals
Job Status
Backtest Config