@cryptoreforma

HIVE MONITOR · @cryptoreforma

Daily Activity Report — HIVE Blockchain
August 18, 2026 · 09:59 UTC Last Update
HP: 18,102.6  |  EFF HP: 20,027.5
REPUTATION 71.77
KE 0.43
This user purchased HIVE and keeps it Staked.
SINCE April 2024
VOTE VALUE 0.037 HBD · 0.957 HIVE
01 / Curation
Curation Rewards
Total HIVE and HBD earned as a curator over the last 7 and 30 days.
7 DAYS
0
HIVE
Curation
30 DAYS
0
HIVE
Curation
7 DAYS
0
HBD
Equivalent
30 DAYS
0
HBD
Equivalent
Daily Curation Rate — HIVE/day
01B / APR
Curation APR
APR (Annual Percentage Rate). The APR is an annual projection based on the current account performance and the network reward distribution. It is not a guaranteed fixed rate — the actual value may vary daily.
7 DAYS
0.00
% APR
7-Day Rate
30 DAYS
0.00
% APR
30-Day Rate
APR Gauge — 7 Days
8.18% Your annualized curation rate
HIVE Network Avg: 0–20% High Eff: 9.25–17%
APR Gauge — 30 Days
7.85% Your annualized curation rate
HIVE Network Avg: 0–20% High Eff: 9.25–17%
01C / CQS
Curation Quality Score
Score 0–100 based on the geometric mean of three components: Breadth (author diversity), Distribution (vote fairness via Gini coefficient), and Anti-Self (self-vote penalty). Methodology: ManteCurated Live · Hive Curation Analytics · CQS = (B × D × S)1/3
7 DAYS
0
/ 100
CQS Score
30 DAYS
0
/ 100
CQS Score
CQS Components — 7 Days
Breadth — Author Diversity 89%
89 unique authors voted in 7 Days
Distribution — Vote Equity 98%
Gini Coefficient: 0.021
Anti-Self — Self-votes 100%
0 self-votes out of 91 total votes
CQS Components — 30 Days
Breadth — Author Diversity 100%
251 unique authors voted in 30 Days
Distribution — Vote Equity 80%
Gini Coefficient: 0.201
Anti-Self — Self-votes 100%
0 self-votes out of 331 total votes
02 / Votes
Vote Profile
Profile of authors voted by @cryptoreforma over the last 7 and 30 days.
7 DAYS
0
Votes
Total Cast
30 DAYS
0
Votes
Total Cast
7 DAYS
0
Votes
Under 12h
30 DAYS
0
Votes
Under 12h
Vote Timing
Vote Timing — 7 Days
Vote Timing — 30 Days
Rewards/Stake Co-Efficient (KE) — Voted Authors
Author KE — 7 Days
Author KE — 30 Days
Author Reputation

Reputation score of each unique author voted. Threshold: 70.

Author Reputation — 7 Days
Author Reputation — 30 Days
03 / Author
Author Rewards
HIVE and HBD earned as a content author over the last 7 and 30 days.
7 DAYS
0
HIVE
Author
30 DAYS
0
HIVE
Author
7 DAYS
0
HBD
Equivalent
30 DAYS
0
HBD
Equivalent
04 / Analysis
Recommendations
Automatically generated suggestions based on period data, including CQS and APR analysis.
Excellent Curation Timing
96% of votes (7 Days) were cast within the first 12 hours after publication — the ideal strategy to maximize curation rewards on HIVE.
Excellent CQS — 95.5/100
Your Curation Quality Score is in the green zone — diversity, fairness, and absence of self-votes are well balanced. Keep up this strategy.
Active Author Rewards
You earned 36.473 HIVE as an author in the last 7 days. Keep publishing quality content to sustain and grow this value.
Supporting Platform Health Through Curation
98% of authors you voted (30 Days) have a Rewards/Stake Co-Efficient (KE) under 4.00 — meaning they keep their author and curation rewards staked on the platform. Voting these authors actively contributes to HIVE's financial health and long-term stability. This is a strong signal of community-aligned curation.
PROOF OF BRAIN & CURATION INTEGRITY

The Curation Quality Score (CQS) — powered by ManteCurated Live · Hive Curation Analytics — measures curator contribution to Hive’s Proof of Brain (PoB) ecosystem health. Score: 0–100.

Under PoB, token distribution is driven by human judgment. Curation is a governance act: voting patterns shape what content thrives and who gets rewarded.

► BREADTH Wide author diversity strengthens content discovery and ecosystem growth.
► DISTRIBUTION Low Gini coefficient = democratic, merit-based reward flow.
► ANTI-SELF Community-oriented curation builds trust and reduces reward pool gaming.
WHY IT MATTERS

Consistent, diverse, and fair curation:

→ Increases discoverability for new creators
→ Strengthens Hive’s economic reward signal
→ Builds external credibility and institutional trust
→ Reinforces Hive as a decentralized, merit-based social protocol

High CQS curators are not just earning better returns — they are building the infrastructure of trust that makes the entire platform valuable.