Roadmap

Custom Inferencing

Run your own forecast on demand.

• Select specific on-chain, macro, or sentiment indicators
• Test “what-if” scenarios (e.g., “What if Bitcoin dominance drops by 5%?”)

BitForcast's operating system, QCS’s adaptive inference layer dynamically adjusts internal attention weights to generate scenario-specific predictions, giving you full control over the reasoning process: not just the output.

Multi-Asset Support

Move beyond Bitcoin.

• Full support for Ethereum, Solana, and select Layer 1 networks
• Each asset features calibrated on-chain and sentiment data streams
• Real-time detection of cross-asset correlations and capital flow patterns

All powered by the same fused, multimodal intelligence pipeline that drives BitForecast today.

Enhanced Backtesting Suite

Replay past forecasts with full context.

• Visualize historical market phases (bull, bear, sideways)
• Inspect indicator behavior and confidence evolution over time
• Track model drift, accuracy decay, and regime sensitivity

Each backtest includes audit-ready metrics so you can interpret: and trust: how predictions performed under real market conditions.

Community Calibration Layer

Prediction quality improves through collective intelligence.

• Rate forecast accuracy, trend clarity, and explanation quality
• Flag misleading signals or missing context
• Your feedback directly refines confidence scoring and signal weighting in future inference cycles

This isn’t just user feedback: it’s a collaborative calibration loop built into the core.

Export & Integration

Take predictions beyond the app.

• Export forecasts and full reasoning evidence as CSV or JSON
• Integrate into personal dashboards, trading bots, or research workflows
• Access via a lightweight, authenticated RESTful API (coming soon)

Designed for developers, researchers, and serious users who want to build on top of transparent intelligence.

Moving to Fully On-Chain System

BitForecast is evolving into a fully on-chain cognitive layer.

• All inference, attention weighting, and scenario calculations will eventually execute on-chain, making every forecast provably transparent and verifiable.
• On-chain execution enables true decentralization, removing reliance on centralized servers and providing trustless access to predictive intelligence.
• Historical forecasts, reasoning traces, and calibration updates will be publicly auditable, allowing the community to verify, replicate, and improve predictions collaboratively.
• This transition sets the stage for a next-generation, decentralized AI infrastructure: where predictive power, transparency, and community-driven improvement coexist seamlessly.

BitForcast is evolving from a forecasting tool into a community-audited cognitive layer for crypto markets: where every prediction is explainable, every signal is inspectable, and every user can help make it better.