Market universe
Explorer
Scan Hyperliquid core perpetuals, spot markets, and HIP-3 venues. Search, sort, filter, and save the assets that deserve a closer look.
Live public market data
Account-scoped watchlist
Market intelligence, connected
From market noiseto a trading process.
LimitRaider brings Hyperliquid discovery, technicals, global timing, order-book structure, momentum research, AI synthesis, execution tooling, and performance review into one deliberate workspace.
Hyperliquid-firstShared user watchlistDeterministic + AI
LimitRaider loop
One watchlist. Four decisions.
Connected
01
Discover
Build one account-scoped market watchlist.
02
Read
Compare trend, momentum, timing, and liquidity.
03
Decide
Turn evidence into a risk-aware plan.
04
Review
Measure execution and improve the process.
26
Tech votes
5
Pivot models
1D + 1W
MACD views
The thesis
A chart is not a process.
A useful decision needs the market universe, price structure, the clock, liquidity, momentum, risk, and a feedback loop. LimitRaider connects those layers while keeping the underlying evidence visible.
The intelligence stack
Five lenses. One market view.
Start broad, then move closer. Each surface answers a different question, and the same watchlist keeps the handoff friction low.
Open Explorer
Technical evidence
Technicals
Inspect oscillator and moving-average votes across timeframes, validate completed-period pivot levels, and export a point-in-time or range view.
26 indicator votes
Five pivot methods
Time context
TradeTime
See global sessions, liquidity handoffs, market breaks, and upcoming transitions in local time—without forgetting that crypto trades around the clock.
Session-aware timeline
Asset-specific context
Liquidity structure
HyperBook
Move beyond best bid and ask with live L2 ladders, depth maps, walls, flow, structure, health, and wallet-aware order-book intelligence.
Core and HIP-3 books
CSV and JSON snapshots
Momentum research
MacDraider
Rank watchlist assets with deterministic daily and weekly MACD analysis, configurable risk, market participation, relative strength, and AI guidance.
Risk-aware scoring
Saved analysis history
Beyond the dashboard
Research should lead somewhere.
Convert signals into structured research, keep the result, manage supported workflows, and close the loop with execution review.
AI research agents
Assemble specialized market perspectives, choose the model profile, set the research depth, and generate structured analysis instead of a loose chat transcript.
Build an analysisModel control
Explore model capabilities, context, and pricing; save favorites and profiles; then use those choices in the agent workflow.
Explore modelsResearch archive
Keep completed reports in a user-scoped workspace so a useful market read becomes part of a repeatable process—not a disappearing browser tab.
View reportsLimit Trader
Track supported EVM tokens, balances, pricing, and limit-order workflows in a purpose-built execution workspace separated from research views.
Open traderTrader Coach
Sync public Hyperliquid fills, import older activity, inspect execution analytics, and generate deterministic feedback on how the plan became a trade.
Review executionHow it behaves
Built for inspectable decisions.
Every surface keeps the source data, timeframe, and calculation context close to the result.
Transparency is a feature
Evidence before adjectives
Scores and guidance sit beside the market inputs, timeframe, coverage, and source state that produced them.
Completed means completed
Period-based studies distinguish closed candles from provisional market data and make UTC boundaries explicit.
One workspace, your scope
Watchlists, MACD history, reports, and coaching data are tied to the signed-in user instead of a shared anonymous queue.
Context stays connected
AI guidance, saved research, market context, and execution review stay attached to the same account workflow.
Pick a market. Build the evidence.
Start with the watchlist and follow the signal through every connected layer.