> For the complete documentation index, see [llms.txt](https://mentat-minds-doc.gitbook.io/mentat/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mentat-minds-doc.gitbook.io/mentat/one-click-strategies/strategies.md).

# Strategies

**Optimized Root**

* **Allocation:** 100% in TAO
* **Rebalancing**: Mentat is responsible for selecting the best validators to optimize APY.

#### Protected Alpha

* **Allocation:** 100% in TAO
* **Rebalancing**: Mentat is responsible for selecting the best validators to optimize APY.
* **Distribution:** Each week, your rewards are reinvested into **one** of the top 5 subnets — specifically the one where you currently have the least funds, to keep your allocation balanced.

#### Mentat 5 **(Risk of loss)**

The **Mentat 5** index allocates your capital into the top 5 Bittensor subnets, selected and weighted based on trend-confirmation metrics.

* **Allocation**: 100% of of the allocated capital is invested across the top 5 subnets.
* **Selection**: The ranking of subnets is determined using an Exponential Moving Average on the marketcap. This ensures that only subnets with confirmed performance trends enter the index, avoiding short-term noise.
* **Rebalancing**: When a new subnet enters the EMA-based top 5, it is automatically added to the index, and the portfolio is reallocated. Mentat is also responsible for selecting the best validators on each subnet to optimize APY.
* **Distribution:** Within the top 5, allocation is weighted using an EMA applied to subnet prices. Higher-priced subnets receive a larger share of the portfolio. The allocation share in each subnet is automatically adjusted according to changes in their market cap.