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River flood crest and flood stage markets

When heavy rain or snowmelt sends rivers rising, forecasters publish predicted crests and flood categories for gauges along the way. Event contracts sometimes ask whether a river will reach major flood stage at a named gauge or exceed a specific height. Those questions rest on gauge-specific definitions and provisional data. This SoftCta guide explains what to read before looking at a price.

Gauge-specific categories

The National Weather Service defines action stage, minor flood stage, moderate flood stage and major flood stage for each forecast point. The thresholds come from local impacts such as roads closing or levees being tested. A contract must name the gauge, usually by location and identifier, because the same river can have very different thresholds at different towns.

Forecast versus observed

River forecast centers issue predicted crests and update them as rain falls and upstream water moves. Forecast crests can shift by feet over a few days. A contract settles on the observed level, not the forecast, so a market priced near certain on the basis of a forecast still carries real uncertainty.

Provisional data

Gauge readings shown in real time are provisional and can be edited later after equipment checks. Our provisional versus final guide explains why contracts should say which data vintage counts. Gauges can also fail during extreme floods, leaving gaps that need to be estimated.

Precision and units

Stages are usually reported in feet to two decimals in the US, while some contracts use meters for other countries. Our rounding guide covers how at-or-above thresholds interact with reported precision.

Feeds and staleness

Hydrograph pages refresh on a schedule, and some mirrors lag. Our feed staleness guide explains how to read last-updated stamps before assuming a crest has passed.

Storm-driven floods

Hurricanes and tropical storms often bring river flooding days after landfall, far inland. Our hurricane path guide covers the storm side, and the weather verification guide covers official data sources in general.

Outside the US

Other countries use their own agencies and categories. The UK Environment Agency, for example, publishes river level data and flood warnings with different terminology. Read the named agency's definitions rather than translating US categories.

A simple reading habit

Write down the gauge identifier, the threshold category from the official page, the latest forecast crest and its issue time. Then compare the market price with how much the forecast has moved in recent updates. Flooding affects real communities, so treat these markets as literacy practice rather than entertainment.

Primary sources SoftCta readers open

• National Weather Service water prediction service gauge pages with flood categories and forecasts.
• US Geological Survey water data for observed stage readings.
• The venue rulebook naming the gauge, threshold and data source.

Reading the quote step by step

• Read the full title and rules, including the named settlement source and the time zone.
• Convert the Yes and No prices to implied probabilities and note the gap between them.
• Subtract fees and spread to see the effective price you would actually face.
• Write your own probability range and the evidence behind it, then compare.
• Check related and near-duplicate markets on other venues for consistency.

Closing SoftCta checklist

• Re-read the venue definition in your own words before reacting to a price.
• Convert prices with fee and spread awareness; verify live cents on the operator.
• Prefer primary settlement sources over secondary headlines and social summaries.
• Treat ChanceWire hubs, movers, and tools as orientation — not order entry.
• Confirm age, location, and product eligibility; SoftCta pages will not suggest location spoofing.
• If clarity is incomplete, watching is a complete SoftCta outcome — no pick-selling urgency required.

SoftCta habits

• Write your own probability range before checking the crowd price.
• Prefer dated primary sources over social summaries.
• Compare related markets when a single book looks extreme.
• Size curiosity with fees and depth in mind; substantial risk of loss.