Apogée

An open-source research initiative exploring crypto-market forecasting scaling laws

Why Apogée?

Challenging the conventional wisdom about market predictability through rigorous scientific research

Quantifying Predictability

Moving beyond the binary "predictable/unpredictable" debate to measure exactly how many bits of future price action can be inferred from historical data.

Crypto Market Scaling Laws

Testing whether market forecasting follows similar scaling laws to Large Language Models - where increased data, compute, and model size yield measurable improvements.

Information-Theoretic Approach

Using rigorous information theory to measure extractable bits of information from candlestick data, moving beyond traditional technical analysis.

Technical Approach

Leveraging state-of-the-art deep learning architectures and optimized infrastructure

Dataset & Pipeline

  • Multiple assets (BTC, ETH, alts)
  • Multi-frequency data (1min to daily)
  • High-performance data pipelines
  • Look-ahead bias prevention

Benchmarked Backbones

  • Transformer variants (Llama, MoE, etc.)
  • State-Space Models (SSMs)
  • Attention-free architectures
  • Domain-specific GPU kernels

Evaluation & Scaling

  • Bits of extropy measurement
  • Progressive compute scaling
  • Dataset size experiments
  • Reproducible benchmarks

Support Our Research

Help us establish the first open-source benchmark for crypto market forecasting

Research Grant

Support our research initiative with a grant to accelerate development and ensure high-impact results.

Compute Resources

Provide GPU infrastructure or cloud computing resources to power our large-scale experiments and benchmarks.

Open Collaboration

Join our open-source community to test alternative architectures and contribute to the research.