Asset Signal
Compare one asset across time windows, then write a source-backed research note.
Not a valuation model or a buy/sell signal.
Data in action / A field guide
See what the data can tell you.
Start with a question. Compare the evidence. Understand the limits. Explore three ways to turn research data into something you can actually use.
01
One asset. Different time horizons.
Is a short-window rise consistent with the longer window, or are they telling different stories?
Illustrative examples · not live market data
Change over each lookback window (%)Five illustrative assets. Each column ends at the same snapshot, but looks back a different amount of time.
| Asset | 30m | 1h | 4h | 6h | 8h | 24h | 7d |
|---|---|---|---|---|---|---|---|
| BTC | +0.18% | +0.32% | +0.75% | +1.08% | +1.25% | +2.40% | -3.60% |
| ETH | -0.12% | +0.08% | +0.45% | +0.71% | +0.90% | +1.70% | -5.20% |
| SOL | +0.35% | +0.62% | +1.40% | +1.85% | +2.30% | +4.80% | +2.10% |
| SUI | -0.28% | -0.46% | -0.80% | -1.10% | -1.40% | -2.30% | +6.40% |
| ADA | 0.00% | -0.05% | +0.10% | +0.08% | +0.12% | 0.00% | Missing |
Scroll horizontally to compare all seven windows.
No market values displayed. Paste a supported response or restore the illustrative example.
PositiveNegativeZeroMissing, not zero
In this invented example, BTC is up 2.40% over 24 hours but down 3.60% over seven days. Those observations can both be true; neither proves a reversal.
A useful next step
Prepare a daily research note that separates short-window moves from longer-window context, with the values and snapshot time attached.
What this cannot tell you
Whether an asset is fairly valued, why its price moved, or what it will do next. Different windows are not independent confirmations.
02
A broad move, or a few standouts?
Hold the time window constant. Compare the assets we track, without mistaking a five-asset sample for the whole market.
Illustrative examples · not live market data
24h change (%)Compare over
3 positive1 negative1 zero0 missing
- SOL+4.80%
- BTC+2.40%
- ETH+1.70%
- ADA0.00%
- SUI-2.30%
A useful next step
Choose which observations deserve further research and explain that choice. A research assistant can use the same structured values behind this view.
Keep the universe visible
BTC, ETH, SOL, SUI and ADA are a bounded comparison set. Missing assets stay unknown. Volume-to-market-cap turnover is not order-book liquidity, and a high–low range is not realized volatility.
Visualize a response you already have
Paste a supported Asset Signal or Workbench market-regime response to replace the two market examples above. Processing happens only in this page's memory: no upload, browser storage, background refresh or purchase. The CFTC illustration below stays synthetic.
Use only data you are entitled to view. Paste the data response, never a private key, seed phrase, API credential or payment authorization. Maximum JSON size: 524,288 bytes. This checks supported structure, not source authenticity or payment.
Illustrative mode. Nothing has been imported.
03
Different participants. Different positions.
What does a weekly futures report show about the positions held by different participant categories?
Illustrative examples · not live market data
Net position / open interest (%)Asset managersLeveraged funds
BTC
Asset managers+24%
Leveraged funds-18%
ETH
Asset managers+16%
Leveraged funds-9%
SOL
Asset managers+8%
Leveraged funds+3%
A useful next step
Frame a question for a weekly positioning note: how do the participant groups differ, and how unusual is each position relative to its own available history?
Position is not intention
Net shorts may involve hedging or arbitrage. These reports do not cover all institutions, establish spot direction, or forecast a reversal. Historical percentiles also need their available sample size.
04
10 products. Four shared data themes.
Products package evidence for different jobs. They are not 10 independent sources, and several views reuse the same underlying observations.
Market observations
Asset Signal, Dirty Work, Agent Effort and Workbench.
Futures positions
Official CFTC report-derived positioning.
Company identity
Available Taiwan registration and factual company evidence.
Government procurement
Notices, awards and observed supplier–agency relationships.
Regulatory Positioning
Compare reported futures positions across participant categories and report weeks.
Weekly futures evidence, not complete institutional flows.
Dirty Work Pack
Inspect identity, source lineage, freshness and missing evidence before quoting a number.
Data preparation and traceability, not an independent market source.
Agent Effort Metrics
Identify which inputs need review before an automated research workflow uses them.
Rule-based readiness; no measured time-saving claim.
Workbench Pack
Compare the five tracked assets and organize a research watchlist.
Shares underlying observations with the other market products.
Company Brief
Use a Taiwan business ID to establish company identity and available factual background.
Covered records only; missing data is not a clearance.
Supplier Lead Pack
Explore procurement evidence to find suppliers associated with a topic.
Candidates for further research, not supplier endorsements.
Tender Search
Find relevant notices and awards by topic, agency, supplier or case.
Distinguish historical awards from opportunities still open.
Company Activity
Review the government procurement cases linked to a known company.
Observed award amounts are not company revenue.
Supplier Pack
Examine observed agency concentration, annual activity and repeated award relationships.
Repeated awards do not by themselves prove renewals.
From a chart to a useful task.
A chart earns its place when it answers a real question, exposes its evidence, and makes the next research step clearer. Compare that workflow with your existing tools. A compelling picture alone is not proof of accuracy, investment performance, or willingness to pay.
Explore the crypto research products · Explore procurement applications