> For the complete documentation index, see [llms.txt](https://valuevaults.gitbook.io/value-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://valuevaults.gitbook.io/value-docs/strategies/multi-alpha-flow.md).

# Multi-Alpha Flow

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This strategy is currently in the testing phase. You can sign up for the waitlist and we will notify you about the launch.
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### About <a href="#undefined" id="undefined"></a>

The strategy is designed for investors seeking exposure to institutional-grade quantitative trading, without needing direct access to hedge funds or algorithmic trading desks themselves. The main goal is to deliver consistent, risk-adjusted returns by combining multiple independent algorithmic, high-frequency, and quantitative models operating across crypto and currency markets

**Recommended investment horizon:** from 1 year

### Who Is It For <a href="#undefined" id="undefined"></a>

* Investors looking for returns that are largely uncorrelated with traditional market direction
* Those who want exposure to institutional-grade quant trading without managing it themselves

### How It Works <a href="#undefined" id="undefined"></a>

**Main instruments**

* Market-neutral strategies, designed to profit from relative price movements rather than directional market bets
* Momentum-based models, capturing short-term price trends across crypto and currency markets
* Arbitrage strategies, exploiting pricing inefficiencies using market microstructure data, macro indicators, and on-chain network metrics
* High-frequency and quantitative models developed independently by more than 5 specialized trading teams

**Multi-team architecture**

Capital is distributed across independent trading teams, each operating its own research infrastructure and autonomous signal models. This structure ensures low correlation between strategies and helps maintain stable performance at a controlled risk level, since no single team's models dominate overall portfolio outcomes

**Dynamic capital allocation**

Optimization algorithms allocate capital across teams and strategies in real time, adapting to changes in market volatility and liquidity. This allows the portfolio to shift exposure toward better-performing approaches as conditions change, without requiring manual intervention

### **Fees**

| Management Fee | Performance Fee | Early Withdrawal | Activation |
| -------------- | --------------- | ---------------- | ---------- |
| 1%             | 10%             | No fee           | No fee     |

**Other fees** - The manager covers all **blockchain network and bridge fees** required to transfer funds across various protocols. These expenses are incurred when moving assets between different blockchains or deploying capital into decentralized finance (DeFi) platforms. The manager actively seeks to **minimize these operational costs** by selecting efficient networks, optimizing transaction timing, and using cost-effective bridges