f3b533b032
Live HL data → in-browser TA → 4-agent committee → LONG/SHORT/SKIP verdict. Terminal grid command bar + interactive agent-workflow graph. Paper-trading worker reuses the browser brain (dry-run + Telegram). Forgejo static deploy. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
5.6 KiB
Quant Agent ($QUANT) — token utility & engagement strategy
The honest, shippable answer to: "what does a user get?" and "what keeps them clicking?" Built only on what the product really is — a transparent, paper-trading multi-agent terminal on Hyperliquid (pre-TGE). Vetted by an adversarial honesty/legal pass.
1. What's the profit for the user? (the one-liner)
Hold $QUANT to see the whole swarm in real time and steer what it watches — access and influence, never a promised return.
Free users see a delayed teaser (one coin, lagged verdict). Holders unlock the full live committee — every coin, every timeframe, real-time verdict flips to their Telegram, and a vote on what the agents watch next. You're selling access + influence + speed, not a payout.
This is the safe, defensible thesis. The moment the pitch becomes "hold and earn" or "hold for profitable signals", it becomes a securities + advice problem (see §4).
2. Token utility — the 5 mechanics to build (in order)
- Hold-to-access tiers (Free vs Holder). Connect a Solana wallet, read $QUANT balance client-side, gate UI depth. Free = 1 coin + delayed verdict; Holder = all coins, live verdict, full agent vote-matrix + reasons. Two tiers only. This is the spine — everything hangs off it.
- Holder alerts (real-time vs delayed). The worker already detects verdict flips and Telegram is already wired. Map wallet→chat_id (one-time sign), DM holders instantly on "committee flipped" / "high-conviction (>0.9)". Free = delayed digest. Lowest effort, highest perceived value.
- Premium signal surface. The brain is parameterized (
CONFIG.coins/interval). Run more coins + timeframes (15m/4h, top-20 perps); expose via the worker's/api/state.json. Breadth is genuinely compute-scarce, so gating it is honest. - Free prediction game (no staking). Call LONG/SHORT/SKIP before the next candle, scored vs the real price move (we already track prices + equity). Cosmetic ranks only. Retention engine for non-holders → seeds future holders.
- Governance over the agents/markets. Balance-weighted snapshot votes on real knobs the config exposes — which coin/timeframe to add next, agent weights, the confidence floor. Real because the worker loads the result. Strongest non-financial reason to hold: influence over a live product.
(#6 once liability copy is locked: a "Open this setup on Hyperliquid" deep-link that prefills coin/side/size/TP/SL from the verdict — convenience, the user signs their own trade. Never auto-execute.)
3. On-site engagement — features that make people click & return
Ranked by leverage. Most reuse data we already compute.
| # | Feature | Why it drives clicks | Effort |
|---|---|---|---|
| 1 | Public agent track record (honest paper PnL: equity curve, win rate, last fills) | The #1 "come back" hook — a live scoreboard of how the committee is actually doing. We already persist equity/closed/equityCurve in the worker. |
M |
| 2 | Predict-the-verdict game + seasonal leaderboard | Daily reason to return: "can you read the agents better than the swarm?" | M–L |
| 3 | Shareable verdict cards (X/Twitter image) | Free top-of-funnel — every share is an ad with the real signal. | M |
| 4 | Tune the committee (weight the 4 agents, re-run live) | Hands-on play → ownership; explore every coin/timeframe. | M |
| 5 | Multi-coin signal board (whole universe at a glance) | A reason to scan & click instead of staring at one coin. | M |
| 6 | Watchlist + price/verdict alerts | Classic retention — pulls the tab back. | M |
| 7 | Backtest / replay slider on the chart | Explorable toy — drag across coins/timeframes. | L |
| 8 | Live committee ticker / "debate feed" | Makes the desk feel alive, never static. | S |
| 9 | Streaks & daily check-in (cosmetic points) | Connective tissue that turns the above into a daily habit. | M |
4. Red lines — what NOT to do (honesty + legal)
The trust of an honest, paper-trading, pre-TGE product is the moat. Avoid:
- ❌ Fee-split / revenue-share to holders (the $AUTR "50% to holders" model) — dividend-like, strongly implies a security. Differentiate with access/utility/status, no holder cash flows.
- ❌ Points → guaranteed airdrop framing — "earn now, tokens later" = expectation of profit. Keep points as pure status (rank/badges/cosmetics); never pre-promise token value.
- ❌ Stake-to-earn / stake-for-rewards — yield/securities risk. Staking may unlock only cosmetics/role, never payouts.
- ❌ "Hold for profitable signals" / any return promise. Sell access to data/views, not outcomes.
- ❌ Auto-executing trades on the user's behalf — custody + advice exposure. Deep-link only; the user signs.
- ❌ Fake track record / paid-pump signals. Always label paper/dry-run.
Everything in §2–§3 is designed to stay on the right side of these lines.
5. Pre-TGE acquisition (you have no token yet — use it)
- Points/season program as pure status now (no airdrop promise) → daily habit before the token.
- Public track record + shareable cards → organic reach proving the agents are real.
- Telegram alpha bot (already built) with a waitlist → capture users where crypto lives.
- Named agent personalities (Trend / Breakout / Mean-Rev / Funding as a "cast") → memorable, screenshot-able, turns dry TA into a story.
Strategy synthesised from a multi-agent pass (utility models · engagement · reference meta · adversarial honesty critic). Not legal advice — have token mechanics + copy reviewed before TGE.