MIT
Open Forecast Receipt
An open standard and verifier for portable, provenance-aware, tamper-evident forecast records. The foundation of Forecast Library, with a scope broader than financial markets.
Explore Open Forecast Receipt on GitHub ↗Future Edge Group · Open source
Progress is stronger when the work can be shared.
We support open source through reusable software, public research artifacts and practical contributions upstream. This is part of how we build iPulse AI and Forecast Library: make useful work inspectable, invite scrutiny and give improvements back.
Software we publish
These projects are published by Future Edge Group under the MIT license. Explore their source, documentation and contribution guidance.
MIT
GlossAnchor
A lightweight TypeScript toolkit for matching glossary terms and rendering accessible React definitions with crawlable links. Designed for reuse beyond iPulse AI.
Explore GlossAnchor on GitHub ↗MIT
iPulse AI Options Alpha Agent
An inspectable options research and paper-trading agent with evidence journals and deterministic risk gates. An experimental research project; live trading is disabled.
Explore iPulse AI Options Alpha Agent on GitHub ↗Forecast Library puts Open Forecast Receipt into practice as a public record of forecasting evidence. Its scope spans forecasting science; iPulse AI is its first financial-market publisher.
Contributions accepted upstream
20 merged pull requests across 13 external projects, verified on 2026-09-09. Contributions below were authored by our founder, Russlan Ramdowar. Each link opens the public change and maintainer discussion.
A2A JavaScript SDK
Actual Budget
Apache Fineract Backoffice UI
Apache Superset
ffn
FINOS CALM
FINOS FDC3 Sail
MDN Browser Compatibility Data
MDN Web Docs
Microsoft Teams.py
Point72 ccflow
QuantEcon.py
skfolio
Project names identify where contributions were made. They do not imply a partnership, sponsorship or endorsement.
Open research datasets
Public research releases carry their own data licenses, attribution requirements and limitations.
CC BY 4.0
Historical Consensus Snapshots
Historical iPulse AI consensus outputs with methodology, provenance and reproducibility checks. Forecast outputs are not evidence of measured predictive accuracy.
Explore Historical Consensus Snapshots on GitHub ↗CC BY 4.0
Batch 5 Advisor Forecast Panel
An anonymized panel for studying forecast combination, disagreement and correlated errors. Twelve advisor configurations share one model family; they are not twelve independent models.
Explore Batch 5 Advisor Forecast Panel on GitHub ↗Proposed contributions under review
These technical pull requests were open when checked on 2026-09-09. They are proposals, and are excluded from the merged totals above. Their GitHub discussions show the latest status.
A2A JavaScript SDK
Fidelity selective
FINOS FDC3
Man Group notebooker
OpenAI Codex Security
OpenBB
Point72 csp
Point72 csp-gateway
What openness means in our products
Open-source licenses apply to the specific projects above. Our wider open research approach makes methodology, experiments, evidence, limitations and lessons inspectable. Proprietary data, private infrastructure and the full iPulse AI application are not automatically covered by those licenses.