magpie-strategy
MAGPIE v1.0 — IPO / New-Listing Event Hedge Fund. Two books on two wallets, one producer, trading the full pre-IPO → listing → graduation arc of tokenized equities on Hyperliquid XYZ (trade.xyz IPOPs like SpaceX). The PRE-LISTING book auto-discovers IPOPs (pre-IPO perpetuals) by their funding signature and rides the pre-listing trend into the IPO; the GRADUATION book detects the IPOP→equity conversion (funding jumps ~100x, leverage cap lifts, price throttle comes off) and rides the explosive first-days price discovery — the SpaceX $1.4B-day-1 pattern. The edge is EVENT alpha around new listings. NOT a copy-trader: each book scores its own set and pushes signals; the runtime owns the LLM gate (pass-through), DSL exits, and all risk.guard_rails. MAGPIE_LEG env selects the book.
Resources
6Install
npx skillscat add senpi-ai/senpi-skills/magpie-strategy Install via the SkillsCat registry.
🐦 MAGPIE v1.0 — IPO / New-Listing Event Hedge Fund
Magpie trades the new-listing event that just became Hyperliquid's biggest
story: SpaceX (SPCX) did $1.4B in day-1 perp volume — 30% of all HIP-3
volume — while real exchanges ran out of shares. Magpie productizes the full
arc: accumulate the pre-IPO perpetual, then ride the explosive momentum when it
converts to a full equity perp. One producer script (magpie-producer.py)
serves both books; the MAGPIE_LEG env var selects which.
| Book | Style | Wallet env | Runtime | Scanner |
|---|---|---|---|---|
pre_listing |
Accumulate IPOPs into the IPO | MAGPIE_PRE_LISTING_WALLET |
runtime-pre_listing.yaml |
magpie_pre_listing_signals |
graduation |
Ride post-conversion momentum | MAGPIE_GRADUATION_WALLET |
runtime-graduation.yaml |
magpie_graduation_signals |
What makes Magpie different
- vs. Cougar (equity long/short): Cougar trades the ongoing equity market;
Magpie trades the event — the pre-IPO ramp and the conversion pop. - vs. Lemur / Falcon (single agents): Lemur holds IPOPs, Falcon trades the
conversion. Magpie packages both into a two-wallet fund with its own risk
controls — and reuses their exact, proven detection logic.
How an IPOP is detected (both books)
trade.xyz pre-IPO perpetuals carry a structural funding signature: very low
funding (|funding| ≤ ipopFundingMaxAbs ~1e-7, a ~1% multiplier vs the ~100×
standard) and a low leverage cap (≤ ipopMaxLeverageCap 5). When the company
IPOs and the product converts to a standard equity perp, funding jumps ~100×
and the cap lifts — Magpie keys off exactly that transition.
PRE-LISTING book — accumulate the ramp (both directions)
Each tick: fetch_ipop_universe filters the xyz board to IPOPs (funding +
leverage + min-volume signature). For each, score the pre-listing trend — 4h
structure sets direction, 1h confirms, Smart-Money confirms (sparse pre-listing
→ trend-only fallback). minScore 5. Holds up to 3 IPOPs (today ~just SPCX;
auto-expands as trade.xyz lists ANTHROPIC / OPENAI / STRIPE / …). margin_pct
12%, 3x (Discovery Bounds throttle IPOP velocity).
GRADUATION book — ride the conversion (both directions)
Each tick: classify every xyz instrument IPOP-vs-STANDARD, compare to the
prior-tick class cache to detect IPOP→STANDARD flips, and stamp each flip
into a conversionWindowHours (72h) eligibility window. Within the window, score
post-conversion momentum (minMomentumPct 3% / strongMomentumPct 8%) +
SM + rising-volume bonuses, and ride the move. minScore 5. margin_pct 15%,
5x (the venue cap lifts post-conversion). The window means momentum that
develops over hours/days is still tradeable, not just the single flip tick.
Execution & exit
- both books:
FEE_OPTIMIZED_LIMITentries + exits, taker-true - PRE-LISTING slots 3, 3x — DSL moderate-wide (multi-day discovery): phase1 max_loss 10%, time-cuts OFF,
hard_timeout7d; phase210%→0 / 22%→45 / 45%→65 / 80%→80 / 130%→90 - GRADUATION slots 3, 5x — DSL wide let-winners-run (price discovery trends hard): phase1 max_loss 12%, time-cuts OFF,
hard_timeout5d; phase212%→0 / 28%→45 / 55%→65 / 100%→80 / 160%→90
State (graduation book)
The graduation book persists a class-state cache (class-state-graduation.json,
last-tick IPOP/STANDARD per instrument) and a conversion-window cache
(conversions-graduation.json, when each flip was detected). The first tick just
seeds the class cache (no flips); flips are only detected against a known prior.
XYZ handling + auth
Everything is XYZ — candle/instrument fetches pass dex="xyz". Requires
user-scope auth for leaderboard_get_markets (Smart-Money confirmation). Themain/xyz clearinghouse sections are two VIEWS of ONE cross-margined wallet,
so get_positions() takes accountValue ONCE via max() — never sums.
Risk gates (risk.guard_rails)
| Gate | pre_listing | graduation |
|---|---|---|
| daily_loss_limit_pct | 12 | 12 |
| max_entries_per_day | 4 | 4 |
| max_consecutive_losses | 4 | 4 |
| cooldown_minutes | 90 | 90 |
| drawdown_halt_pct | 18 | 20 |
| per_asset_cooldown_minutes | 360 | 360 |
| data_retention_hours | 168 | 168 |
| drawdown_reset_on_day_rollover | true | true |
Files
| File | Purpose |
|---|---|
runtime-pre_listing.yaml / runtime-graduation.yaml |
Per-book runtime spec |
scripts/magpie-producer.py |
Book-aware producer (IPOP discovery + conversion detection + scoring) |
scripts/magpie_config.py |
Leg resolution + SenpiClient wrapper + class-state/conversion caches |
config/magpie-pre_listing-config.json / config/magpie-graduation-config.json |
Per-book tunables |
Operator install
See README.md — two daemons (MAGPIE_LEG=pre_listing andMAGPIE_LEG=graduation) on two wallets (default 50/50), each with its own
runtime YAML.
Hard rule for user-conversation Claude sessions
User-conversation Claude sessions MUST NOT call any of:create_position, close_position, edit_position,ratchet_stop_add, ratchet_stop_edit, ratchet_stop_delete,cancel_order, strategy_close, strategy_close_positions.
These tools are reserved for the producer daemon (entry path) and the
DSL ratchet engine (exit path). User-conversation sessions are
read-only.
License
Apache-2.0 — Copyright 2026 Senpi (https://senpi.ai)