> For the complete documentation index, see [llms.txt](https://illuminance.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://illuminance.gitbook.io/docs/illuminance-marketing-agency/the-career-infrastructure-of-the-ecosystem/capital-allocation-strategies.md).

# Capital Allocation Strategies

Within the Illuminance ecosystem, capital is allocated through structured arbitrage strategies rather than fixed deposit plans.

Each strategy is defined by:

* investment period
* capital allocation range
* profitability progression over time

Short-term strategies typically operate over **30 days** with capital starting from **$100**.\
Mid-term strategies extend to **120–180 days**, with capital from **$1,000 and above**.\
Long-term strategies can run up to **365–700 days**, requiring larger capital and enabling more advanced execution models.

As duration and scale increase, the system gains access to a broader range of arbitrage opportunities and more efficient capital utilization.

#### Profitability Model

Each strategy follows a progressive return structure, where profitability increases over time as capital remains active within the system.

Early stages typically operate at lower levels (around **0.5%**), increasing through mid-cycle (**0.75–1%**) and reaching higher levels in later stages (**1%+ and above**).

This model reflects how the system optimizes performance over time rather than offering fixed returns.

***

#### Example of Strategy Outcome

A participant allocates **$1,000** into a 120-day mid-term strategy.

* Days 1–40 → \~0.75%
* Days 41–80 → \~1%
* Days 81–120 → \~1.25%

Over the full cycle, the capital operates continuously within the system.

As a result, the total return can reach approximately **+120% to +150%** over the full period, depending on execution efficiency.

At completion:

* the initial **$1,000** is returned
* the generated profit remains with the participant

***

These strategies provide a structured approach to capital allocation, where participants select a model based on time horizon and scale, while the system manages execution and performance.


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