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 { createClient, Binary } from "polkadot-api";
import { getWsProvider } from "polkadot-api/ws";
import { sub } from "@polkadot-api/descriptors"; // generated by: npx papi add sub -w wss://entrypoint-finney.opentensor.ai:443

const client = createClient(getWsProvider("wss://entrypoint-finney.opentensor.ai:443"));
const api = client.getTypedApi(sub);

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

Runtime Info

View Source

Pallet: SubtensorModule
Storage Kind: Plain
First Version: v334
Current Version: v411

Back to SubtensorModule Storage