Multi-chain compute protocol with next-gen automated liquidity management.

Steer Protocol introduces a decentralized off-chain compute protocol empowering developers to craft yield-based strategies and applications using familiar programming languages like TypeScript (AssemblyScript), Rust, and Go. Additionally, it furnishes audited App Engines to enrich the developer experience when interacting with specific protocols. One notable App Engine is the concentrated liquidity engine, facilitating multi-position management for pools and liquidity placement on any capital allocation curve on CLAMM, potentially yielding higher returns while mitigating risks of IL/RL during active management.

In Lynex, various Steer strategies are currently active:

  1. Static Stable V2: Static stable strategies are designed for assets pegged at a theoretical price. Various widths and depths can be achieved to give users the desired liquidity shape while market making. These strategies are incredibly safe and resistant to IL given their nature.

  2. Classic Rebalance Strategy V2: The Classic Rebalance Strategy offers a dynamic approach to liquidity provision. By establishing a predetermined position size around the asset's current price, it ensures consistent market engagement. When the asset's price drifts beyond this active range, the strategy can promptly reposition, aligning the new position around the prevailing price. While this rebalancing method may expose users to some degree of impermanent loss, it's tailored for specific use cases where such a trade-off is desired, offering a unique balance between market engagement and return potential.

  3. Moving Volatility Channel Strategy V2: The Moving Volatility Channel Strategy harnesses the power of the Keltner Channel to monitor asset price volatility and trend direction. By setting boundaries based on average true ranges and moving averages, this strategy provides a responsive channel that adjusts to the asset's price fluctuations. Ideal for LPs who wish to optimize their positions in a dynamic market, it facilitates the identification of potential breakout or consolidation phases, ensuring you're always aligned with the market's rhythm.

  4. High Low Channel Strategy: This advanced LP approach leverages the Donchian channel, establishing a robust price channel by considering the highest high and lowest low over a designated period. LPs can adjust the channel's width with an optional multiplier, offering flexibility to capitalize on larger price movements. With dynamic adaptation to market volatility, LPs position themselves advantageously amidst evolving price dynamics. Tech Link: Don-chain

  5. Elastic Expansion Strategy: Utilizing the Bollinger Channel, this strategy identifies potential price fluctuations within a specified range, adapting to the asset's inherent volatility. By capturing optimal yield through responsive adjustments to price expansions and contractions, LPs optimize returns. This strategy not only anticipates price peaks and troughs but also ensures liquidity deployment where utilization is most probable, maximizing returns for providers. Tech Link: Bollinger Bands

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