Every feature, built for independent decision-making
Orgreave combines structured data, risk-aware scoring, and a public verification log so you can see exactly how a recommendation was formed — not just what it says.
What Orgreave actually does
Each feature below addresses a specific problem independent investors face when working without an analyst desk behind them.
Problem: market data is scattered across too many sources to monitor consistently.
Consolidated data analysis
Orgreave pulls pricing, volume, and fundamental data into a single structured view, refreshed on a consistent schedule, so you're working from one coherent picture instead of a dozen open tabs.
Problem: most tools give you a signal, not a reason.
Risk-aware recommendations
Every suggestion is paired with the risk factors that shaped it — volatility exposure, concentration, and downside scenarios — so you can judge the trade-off before you judge the trade.
Problem: it's hard to trust a recommendation engine you can't inspect.
Public verification log
Recommendations and their outcomes are recorded in an open log, viewable by anyone using Orgreave. Nothing is quietly edited after the fact — you can check the record yourself.
Problem: generic alerts don't reflect your actual holdings.
Portfolio-aware monitoring
Orgreave tracks movement against your stated positions and thresholds, so the alerts you receive are relevant to what you actually hold, not a generic market feed.
Problem: switching between platforms breaks your workflow.
Single workspace
Analysis, recommendations, and the verification log live in one place, designed for a calm, repeatable review process rather than a scattered set of disconnected tools.
See how a recommendation was reached
A sample of the kind of record Orgreave keeps for every recommendation it produces.
Recent entries
Why this matters
Most analysis tools ask for trust up front. Orgreave asks for scrutiny instead — every recommendation is timestamped and kept in the log, so the reasoning behind it stays checkable long after the moment it was generated.
From raw data to a recorded recommendation
Collect
Market and fundamental data is gathered on a consistent schedule and structured into a single working dataset.
Score
Each position or opportunity is scored against risk-aware criteria, weighing volatility, concentration, and downside exposure.
Record
The recommendation and its reasoning are written to the public log, where it stays viewable and unaltered.
Designed around scrutiny, not blind trust
Orgreave was built on the idea that an investor shouldn't have to take a recommendation on faith. Every feature — from the data pipeline to the scoring model to the public log — exists to make the reasoning behind a suggestion checkable, not just the suggestion itself.
That means you can use Orgreave as a second opinion, a research shortcut, or a monitoring layer on top of positions you already manage — without losing sight of how any given conclusion was reached.
Common ways to use Orgreave
Morning portfolio check
Start the day with a consolidated view of movement and risk flags across your holdings before deciding where to spend your attention.
Second opinion on a position
Run an existing or prospective position through Orgreave's scoring to see which risk factors a purely price-based view might miss.
Threshold-based alerts
Set thresholds tied to your actual holdings so notifications reflect your portfolio, not a generic market-wide feed.
Ready to see the reasoning behind every recommendation?
Start using Orgreave and decide for yourself, with the full log open alongside every suggestion.