FlowEmaSmoothingFactor

Storage Plain v334 → current

EMA smoothing factor for TAO flow calculations.

Queried by: developersanalytics

The Big Picture

TAO flow tracks inflow/outflow balance for subnets. This smoothing factor controls how the EMA is calculated. Higher = more smoothing, lower = more responsive to recent changes.

Use Cases

Understand flow calculation dynamics
Build flow prediction models

From Chain Metadata

ITEM --> Flow EMA smoothing factor (flow alpha), u64 normalized

Purpose & Usage

Purpose

Control smoothing in TAO flow tracking.

Common Query Patterns

Single value query

Part of: TAO Flow

Stored Value

u64

Value in RAO (÷10⁹ for TAO)

RAO -> TAO (/ 10^9)

Code Examples

import { ApiPromise, WsProvider } from "@polkadot/api";
import { stringCamelCase } from "@polkadot/util";

const provider = new WsProvider("wss://entrypoint-finney.opentensor.ai:443");
const api = await ApiPromise.create({ provider });

// Query FlowEmaSmoothingFactor storage (no keys - plain value)
const result = await api.query
  [stringCamelCase("SubtensorModule")]
  [stringCamelCase("FlowEmaSmoothingFactor")]();
console.log("FlowEmaSmoothingFactor:", result.toHuman());

Runtime Info

View Source

Pallet: SubtensorModule
Storage Kind: Plain
First Version: v334
Current Version: v393

Back to SubtensorModule Storage