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The Missing Edge in Crypto Liquidity Provision

Synth generates AI-powered price path forecasts helping liquidity providers manage inventory risk and optimize range placement with a quantitative edge.

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Connecting probabilistic price forecasts directly to LP range decisions

Liquidity providers on AMMs and centralised venues rely almost entirely on historical volatility and reactive rebalancing. Very few have access to a forward-looking probabilistic model for the price behaviour that determines whether their capital sits in or out of range. Most LP positions are set by convention rather than rigorous price distribution analysis.

Pioneering Liquidity Provision Intelligence

Synth bridges the gap between financial price prediction and liquidity provision strategy. Our synthetic price distributions directly inform optimal range placement and inventory risk - giving you a quantitative overlay on top of reactive LP management.

Smart Treasury

Optimise Range Placement

Use Synth's price distributions to set LP ranges around the highest-probability price path

Onchain Referals

1h and 24h Forecast Windows

Match your rebalancing cadence to short and medium-term forecast horizons

Developer Incentive

Continuously Calibrated

Models are continuously updated and served to you via API or MCP

Synth API Supported Assets

BTC
ETH
SOL
XAU
SPY
NVDA
TSLA
APPL
GOOGL

Core metrics

$2.9m paid to data scientists
20-30% Improvement on GBM benchmark
Hundreds of AI models competing in real-time
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FAQ

How do you reduce impermanent loss as a crypto liquidity provider?

Impermanent loss increases when price moves outside your LP range. By using forward-looking price path forecasts, LPs can set ranges around the highest-probability price zone rather than relying on historical volatility alone - reducing the likelihood of capital sitting out of range or being exposed to large directional moves.

 What data should liquidity providers use to optimise range placement?

Effective range placement requires a forward view of where price is likely to trade - not just where it has traded. Synth's AI-generated price distributions provide probabilistic estimates of future price paths over 1h and 24h horizons, giving LPs a quantitative basis for range decisions and rebalancing triggers.

How can LPs manage inventory risk in volatile crypto markets?

Inventory risk for LPs spikes during high-volatility periods when price moves rapidly through or beyond set ranges. Synth's continuously updated forward volatility and price path forecasts give LPs an early quantitative signal of elevated dispersion, enabling proactive rebalancing before adverse moves occur.

Can liquidity provision be automated using price forecast APIs?

Yes. Synth's price path and volatility forecasts are served via API and MCP, making them suitable for integration into automated LP management systems. Forecasts can trigger rebalancing logic, adjust range parameters, or feed risk models - enabling a more systematic approach to liquidity provision.