Testnet Points
Overview
This page documents the historical AFX testnet points program. The mainnet points program is live and documented separately in Points and Season 1.
The AFX Points Program rewards users who contribute to the growth and health of the AFX protocol. Points represent your contribution to the platform and will be convertible to tokens at TGE (Token Generation Event).
The program operates on a "fixed output, dynamic distribution" model — a fixed number of points are distributed each period, and users compete for their share based on meaningful activity. This ensures predictable, sustainable incentives without runaway inflation.
Testnet Program
What is the Testnet?
The AFX testnet is an open testing environment where users can experience the full functionality of the platform using test tokens — with zero real capital at risk. The primary goal is to validate product functionality and stress-test the system under high-concurrency conditions.
How to Participate
Connect your wallet and register on the testnet
Receive test tokens and begin trading or providing liquidity
Testnet Reward Mechanism
Testnet participants will receive retroactive point rewards after mainnet launch. Points are allocated from a dedicated testnet pool — separate from the mainnet points pool — and will be convertible to tokens at TGE alongside mainnet points, at the same unified conversion rate.
Prize Pool Structure
The testnet prize pool is split into two parts:
Total prize pool: 28,000 points
Activity Pool (majority) (70% = 19,600 points)— Rewarding real on-chain trading behavior; broader coverage and deeper engagement means a bigger share
Feedback Pool(30% = 8,400 points) — Rewarding high-quality bug reports and product suggestions submitted via Discord
All testnet points are from a dedicated allocation separate from the mainnet points pool. At TGE, testnet and mainnet points are converted to tokens at the same unified rate.
Part 1: Activity
Your activity score is calculated across multiple metrics. We reward genuine, diverse trading behavior — it's not about who generates the most volume, but who covers the most ground.
Volume
Cumulative notional value (USD)
≥ 12 M → 10 ; ≥ 10 M → 8 ; ≥ 8 M → 6 ; ≥ 6 M → 4 ; ≥ 4 M → 2 ; ≥ 1 M → 1 ; < 1 M → 0
Active Days
Number of distinct days with trading activity
≥ 25 days → 10 ; ≥ 20 → 8 ; ≥ 15 → 6 ; ≥ 10 → 4 ; ≥ 5 → 2 ; ≥ 1 → 1
Traded Pairs
Number of distinct trading pairs traded
≥ 9 pairs → 10 ; 7–8 → 8 ; 5–6 → 6 ; 3–4 → 4 ; 1–2 → 2 ; 0 → 0
Order Types
Number of distinct order types used. Counted set: Market · Limit · Position TP/SL · Passive (post-only) · Reduce-only
5 types → 10 ; 4 → 8 ; 3 → 6 ; 2 → 4 ; 1 → 2 ; 0 → 0
Long & Short
Whether you have both long and short trade records
Both directions → 10 ; one direction → 5 ; none → 0
Leverage Tiers
Number of distinct leverage buckets used during the historical testnet campaign. These buckets do not represent current mainnet leverage limits
5 buckets → 10 ; 4 → 8 ; 3 → 6 ; 2 → 4 ; 1 → 2 ; 0 → 0
Position Lifecycle
Whether you complete the full open → add → reduce → close cycle
Open + add + partial reduce + full close → 10 ; open + add + partial reduce → 8 ; open + add → 4 ; open only → 2
Extreme Scenarios
Whether you trigger forced liquidation and/or ADL
Both (liquidation + ADL) → 10 ; one → 5 ; none → 0
Generally, broader coverage across these dimensions leads to a higher score. The specific weight of each metric is determined internally and may be adjusted during the testnet period.
Formula: Your Activity Prize = (Your Score ÷ All Users' Total) × 19,600 points
Part 2: Feedback
Great products are built on real user feedback. All submissions go through our Discord channel and are reviewed by the relevant community members. We value every piece of quality input.
Bug Reports
Submit on Discord → Tech community rates severity
Suggestions
Submit on Discord → Product community rates usefulness
Each submission is scored based on its severity (for bugs) or usefulness (for suggestions). Higher-impact contributions receive proportionally greater recognition.
Formula: Your Feedback Prize = (Your Score ÷ All Users' Total) × 8,400 points
Testnet Timeline
The testnet duration is determined by testing completion rather than a fixed end date
When the testnet closes, all data is finalized — the closing moment serves as the automatic snapshot
Approximately one week of preparation follows before mainnet launch
Retroactive testnet points are published within one week of mainnet launch
Sybil & Fairness Policy
AFX is committed to rewarding genuine participants. The platform employs a multi-dimensional behavioral analysis system to identify inauthentic activity, including but not limited to mass-created accounts, bot-driven actions, and coordinated farming patterns. Accounts flagged as Sybil may have their rewards reduced or removed entirely. Detection methods are not disclosed and are continuously refined.
Mainnet Program
The mainnet points program is live. See Points for the current program overview and Season 1 for the active season details.
Rules & Notes
Each pool is distributed pro-rata: your share = your score ÷ sum of all participants' scores
Wash trading, self-trades, and any form of manipulation will result in full disqualification
Duplicate bug reports are credited to the first reporter only
The tech and product community members are the sole judges for feedback scoring
The community reserves the right to adjust scoring criteria and final distributions
Testnet points can be converted into token rewards based on participation and applicable terms
Points are non-transferable and cannot be traded
FAQ
Is there any financial risk during testnet?
No. The testnet uses test tokens only. No real funds are involved, and there is no possibility of financial loss.
Will my testnet points reduce the mainnet pool?
No. Testnet and mainnet points come from completely separate allocations. Participating in testnet does not affect mainnet rewards in any way.
How do I know if I'm flagged as a Sybil?
The platform does not disclose individual Sybil assessments. If you are participating genuinely and testing diverse features, you have nothing to worry about.
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