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POL Tokenomics Dashboard

The POL Tokenomics dashboard is the main POLTRACK product. It tracks POL supply, burn, fees, staking, inflation, value flow, and token-level market context from public sources. It also includes a built-in POL Tokenomics Simulator for activity, price, and inflation sensitivity analysis.

Use this guide to understand what each dashboard section is for.

What If Simulation

Select What if? POL Tokenomics below the dashboard introduction to enter simulation mode. The simulator starts at 1× current activity, the current POL price, and 2% annual inflation. It then recalculates fees, burn, illustrative staking yield, 30-day net supply change, and effective supply through 2033.

Simulation mode is visually separated from live data and always displays a persistent status bar. It is a deterministic sensitivity tool, not a forecast. Read the complete Tokenomics Simulator methodology for formulas, fixed assumptions, ranges, and limitations.

Rails

Rails is the top-level summary of the current economic state. It is designed for quick scanning:

  • supply and burn context;
  • net issuance;
  • fees and activity;
  • staking share;
  • current as-of date.

Use Rails when you need a fast answer before drilling into a specific chart.

Fees

The Fees section separates base fees and priority fees. This matters because base fees and priority fees have different economic paths.

  • Base fees connect to burn mechanics.
  • Priority fees connect to validator and staker distribution policy.

For fee concepts, read Polygon Chain Fees.

Value Flow

Value Flow shows where protocol value moves:

  • fees to burn;
  • emissions to staking and treasury;
  • priority-fee value to validators and stakers;
  • temporary or policy-specific allocations where applicable.

This section is useful for understanding whether value is flowing mainly to burn, treasury, validators, stakers, or other policy buckets.

The Treasury card keeps liquid POL and direct sPOL reserves separate. The sPOL line also shows the current POL equivalent returned by the official sPOL controller; it is a reserve snapshot, not an addition to liquid-POL treasury flows.

Supply

The Supply section separates three questions: current effective supply, effective supply change over the latest 30 days, and the staked share of circulating supply. The 30-day change compares mint and Base Fees accrued toward burn over the same calendar window, avoiding distortion from batched routing-wallet settlements. Its full-history chart continues the active gross emission curve through October 2033 and subtracts future Base Fee burn using the trailing 240-calendar-day average. The longer window reduces sensitivity to short-lived changes in network activity. The burn pace is recalculated daily and is presented as a constant-current-pace scenario, not a prediction of future network activity.

POLTRACK retains a 12,336,136,524.75 POL gross baseline calculated from executed emission history and continuation of the active contract curve through October 2033. The dashboard projection then subtracts burn already realized and the modeled future Base Fee burn. PIP-82 settlements and routing-wallet movements are not inputs to the projection.

For definitions, read POL Tokenomics.

POL Token

The POL Token section gives market-facing context such as price, market cap, token facts, and derived ratios. Its sPOL card reports Ethereum total supply, separate positive-balance holder counts for Ethereum and Polygon Chain, the on-chain POL redemption rate, and a 30-day observed APR annualized from redemption-rate change. The two holder counts are not added or deduplicated across chains and should not be interpreted as unique people. This sPOL APR is distinct from the separate illustrative network staking APR. POLTRACK does not publish price predictions or trading advice.

Snapshots

POLTRACK publishes public snapshots where available:

Reuse is covered by the Data License.

Common Questions

Is this a price dashboard?

No. The dashboard includes price context, but the product is focused on observable POL economics, not price forecasts.

Why do some metrics use rolling windows?

Rolling windows reduce noise from batch settlement effects and daily volatility.

Where are formulas documented?

Use Methodology & Data Sources.

Related Pages