Crypto Market Intelligence Platform

Structure the Market.Remove the Noise.

AriSai Quant brings systematic trend, valuation, derivatives, liquidity, macro intelligence and portfolio rotation together in one research platform.

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Trend & RiskValuationLiquidity & MacroDerivatives
Illustrative AriSai Quant platform overview featuring trend regimes, risk matrix, dollar liquidity and derivatives analytics
Illustrative platform composite · not live market data Explore dashboard ↗

Inside the Dashboard · Elite

Explore the AriSai Rotation Systems

Four systematic rotation models. Current model states, transparent allocation targets, and historical research — in one dashboard.

Main ensemble · Simurgh

Three models. One adaptive allocation.

Simurgh combines the independent Shahin, Darya and Cyrus models into a rule-governed portfolio target, with visible source influence and rebalance controls.

  • See model target weights and cash exposure
  • Inspect source-system influence
  • Review completed-bar decisions and next-open execution rules
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AriSai Quant · Beyond Rotation

More Than Rotation. Complete Market Intelligence.

Explore trend, liquidity, macro and derivatives conditions through purpose-built quantitative research tools — all in one workspace.

01 · Market structure

Trend & Market Risk

Put price trends, momentum, volatility and cross-asset risk conditions into context with systematic indicators.

TrendMomentumRisk Matrix
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02 · Monetary context

Liquidity & Macro

Study dollar liquidity, global monetary conditions and macro indicators alongside the changing crypto market environment.

Dollar LiquidityGlobal M2Macro
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03 · Positioning context

Derivatives Intelligence

Examine open interest, funding and realized liquidations to understand derivatives positioning and market activity.

Open InterestFundingLiquidations
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Feature illustrations are conceptual. Available indicators, data freshness and access depend on the selected dashboard tab and membership tier.

Built for Transparent Quantitative Research

✓Rule-based modelsPublished methodology and defined decision logic, rather than discretionary trade calls.
✓Data context mattersCompleted-bar rules, release timing and source freshness are evaluated where applicable.
✓Evidence is labeledHistorical simulations are distinguished from forward evidence and realized results.

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Evaluate AriSai Quant’s systematic models.
No predictions. No discretion. Just rules, structure, and risk control.