Preserved Timestamped Record
Preserve the creation time, data cutoff, and model outputs from that moment. Later reruns and reviews do not replace the original record.
Timestamped snapshot · Model choice · Uncertainty · Maturity review
Turn each market study into a research loop you can verify
G-Prophet preserves the creation time, data cutoff, and model outputs from that moment without replacing the original record on later reruns. Choose a single model or ensemble, read reference paths and uncertainty, then review against observed data after the target date.
After signing in, set research focuses, receive review reminders, and keep adding your own review notes over time.
Auditable research record
From Original Record to Maturity Review
Sample study · model record
Interface illustration; not a specific market result
Preserve creation time, data cutoff, and original model outputs
Record the selected model or ensemble output
Read reference paths and uncertainty
Generate review evidence after the target date
Snapshot
Preserve creation time, data cutoff, and original model outputs
Models
Create a research record with a single model or ensemble
Range
Read reference paths together with uncertainty
Review
Check the original observation against actual data
A research result needs an evidence chain
Keep the path to verification, not just another answer
Each record starts with its original context, preserves the selected model output and uncertainty, and ends with observed target-date data.
Model Choice and Ensemble Observation
Create separate records with G-Prophet models, traditional time-series models, or an ensemble, then review each one under the same evidence standard.
Uncertainty, Not a Point Answer
Read reference paths, ranges, stability, and risk notes together instead of treating a model reference price as certain.
Automatic Maturity Review
After the target date, compare the original record with observed price, direction consistency, price deviation, and your review notes.
One record, four reviewable stages
Start with a question and finish with observed evidence
The same research record connects creation, comparison, tracking, and review instead of scattering evidence across chats and screenshots.
- 01
Preserve the Original Record
Choose the market, instrument, horizon, and model. The system preserves the creation time, data cutoff, and model outputs from that moment.
- 02
Read the Model Output
Review the selected single model or ensemble reference path, direction observation, and range, then record your research view at that time.
- 03
Set a Research Focus
Add an instrument you want to keep observing to your research focuses and continue from the daily research queue.
- 04
Review at Maturity
After the target date, use the review queue to check observed price, direction consistency, price deviation, and save review notes.
From one result to ongoing tracking
Keep research focuses, reminders, and reviews in one workspace
Set important instruments as research focuses and continue through the daily queue. At maturity, creation time, data cutoff, original model outputs, observed outcome, and personal notes stay connected.
Open History and ReviewsOngoing Tracking
- Research focuses bring selected instruments into the daily research queue, reducing repeated searches and temporary notes.
- Mature records enter the review queue so you can check observed price, direction consistency, and price deviation.
- Full history, charts, maturity review, report-image export, and private sharing are open to every signed-in user.
- Ultimate includes historical and chart-data export; API, Python SDK, and MCP calls are metered in G-Points.
Pay for your research cadence
Complete the free loop, then upgrade for sustained use
A subscription adds ongoing research capacity and the listed professional tools; it does not promise market outcomes. All prices are in USD.
Free
$0
No subscription fee
View full history, charts, and reviews, and use report-image export and private sharing. Model runs and deeper analyses use G-Points under the stated rules.
Professional
$49 monthly
$490 annually
For ongoing research-focus tracking: higher daily capacity, automatic G-Points, risk alerts, financial statements, and priority support.
Ultimate
$99 monthly
$990 annually
For frequent and deeper workflows: higher capacity, historical and chart-data export, risk and financial data, and on-chain research.
Additional G-Points
$1 per 100 G-Points
500-G-Points minimum ($5)
For occasional deeper analysis or API calls. Purchased G-Points do not expire, and the final total is shown before payment.
- Purchasable prices and entitlements are confirmed from the live plan page and again before checkout.
- Every signed-in user can view full history, charts, and existing analysis results. Subscriptions primarily add daily research capacity and the professional tools listed for each plan.
- Standard model runs and deeper analyses use G-Points at the live rate shown on the page. A subscription does not make every high-cost analysis unlimited.
- Subscriptions renew automatically until canceled. Applicable taxes are not included; external payment-network charges may apply depending on the payment method.
- First-time subscribers may submit a refund request within 7 days when no more than 50% of the quota has been used. The online form submits the paid order amount; partial refunds require manual support, and eligibility and the final amount are subject to review.
A research tool, not an action instruction
Trace each conclusion back to its original evidence
Platform outputs are model references and research observations based on public market data. Original records and reviews help inspect where a model applied or failed, but historical results do not represent future performance.
Start your first reviewable research record
Choose a familiar instrument and preserve its creation time, data cutoff, and original model outputs so disagreement, uncertainty, and the eventual outcome remain in one evidence chain.