We build tools for making forecasts, comparing the reasoning behind them, and checking what happened next. Our flagship product, iPulse AI, is an Open Agentic Investment Research Platform. Forecast Library is public infrastructure for preserving and verifying forecasts from people, statistical models, and AI.
Future Edge Group · iPulse AI · Forecast Library · LinkedIn
| Start here | What you can do |
|---|---|
| Market Forecasts · Asset Deep Dive | Explore stocks, crypto, indices and ETFs, commodities, and currencies. Compare one- and five-year AI consensus ratings, price targets, individual opinions, and historical forecasts. |
| Company fundamentals · Forecast history | Examine company profiles, financial statements, valuation and ownership where available. Look back at what the platform published at the time. |
| Live Rankings · Editorial Top Picks | Compare model rankings across asset classes or read the evidence, competing views, and risks behind reviewed editorial selections. |
| Economics · Economic Calendar · Liquidity, rates & yields | Follow economic releases, rates, liquidity, and macro trends that shape markets. |
| Portfolio Performance · Deep Analysis Schedule | Review simulated portfolio strategies and benchmarks. See how daily ranking refreshes, editorial reviews, and deep research runs differ. |
| Market Perspectives · Lab Latest · Published Research | Read company and market analysis, research papers, concepts, guides, and product updates. |
Our September 2026 Batch 7 release used Google Gemini 3.8 Flash, Anthropic Claude Opus 5, and OpenAI GPT-6 Astra. It used 14 analyst configurations per asset, including a matched research framework across model families so readers can compare how different models weigh the same assignment. The individual reports sit alongside a synthesized consensus, with visible disagreements and risks.
Methodology · Engine history · AI analyst profiles · Performance and accuracy · Operational lessons learned · Responsible AI
Publish or inspect dated forecasts and the evidence behind them. Each forecast can have a portable receipt with provenance and an integrity check, plus an optional blockchain attestation. A verified receipt helps establish the integrity of a record. Forecast accuracy is a separate question.
Browse forecasts · Forecaster profiles · Receipt specification · Try the integrity test · Open Forecast Receipt source code
Two AI presenters discuss the evidence, tradeoffs, and risks behind a company or market thesis. Find episode notes and transcripts where available in the episode library.
YouTube · Spotify · Apple Podcasts · Substack · RSS
- When Is Fresh AI Stock Analysis Worth It? — when new research adds value and when a price update can be enough.
- When Models Judge Models — how source identity and disagreement affect multi-model synthesis.
- When AI Advisors Agree — what agreement can tell us about asset risk and forecast reliability.
- Ranking AI Investment Forecasts — original scoring, dynamic rescoring, and return-focused versus risk-adjusted rankings.
- Historical Consensus Snapshots · Batch 5 Advisor Forecast Panel — dated consensus records and individual forecast research data.
- Open Forecast Receipt — an open standard and verifier for portable forecast records.
- GlossAnchor — accessible React glossary links and term matching.
- iPulse AI Options Alpha Agent — an inspectable options research and paper-trading experiment.
Open source and upstream contributions · Trust Center · Investment Relations · Contact