Rules-based capital allocation

Your money,
moving together.

Alepes helps you define how new money should flow into your portfolio, then directs contributions toward the holdings that need them most.

Rules-based capital allocation, with every decision explained.

Preview only — live transfers and live brokerage execution are not currently available.

Live flowShadow Mode

Paycheck +$3,200

Payroll deposit detected

MSFT
+$172
GOOGL
+$133
V
+$101
NVDA
+$74

How it works

From cash flow to formation.

  1. 1
    Qualifying deposit detected
  2. 2
    Cash-flow rule evaluated
  3. 3
    Reserve preserved
  4. 4
    Deployable amount calculated
  5. 5
    Portfolio contribution allocated
  6. 6
    Shadow plan explained

Two policies, kept separate

Your cash-flow policy decides whether and how much to deploy from new money — triggers, reserves, and caps. Your investment policy decides where it goes: the target allocation and bands that define your formation. Keeping them separate is what makes every decision explainable.

Cash-flow rules

Your automation, in rules you author.

Example rule — authored by you

Active

WHEN

a qualifying deposit is detected

IF

checking remains above $5,000

THEN

invest 40% of the deployable amount

Formation

Stay in formation with new money.

Formation is how close your portfolio is to its target allocation. Holdings drift over time; Alepes uses each new contribution to move the school back toward formation — underweight first, without forced selling.

Formation check

drifted
SymbolTargetCurrentAction
VTI50%44%Buy
AAPL25%30%Hold
VXUS25%26%Hold

New contribution → directed primarily toward VTI, the most underweight holding.

Shadow Mode

See the decision before anything moves.

Shadow Mode evaluates your rules and shows exactly what would happen — a full plan, with nothing executed.

Simulation only — no money moved

Shadow trace

No money moved
Deposit detected$1,250
Reserve preserved$5,000
Rule matchedInvest 40%
Deployable$500
Formation checked
Allocation calculated
Shadow plan created

Explainability

Every decision, traceable.

Decision audit

What happened?
A qualifying deposit of $1,250 was detected.
Which rule matched?
“Invest 40%” above the $5,000 reserve.
Why was this amount deployable?
$500 — 40% of the deposit, after the reserve.
Which holding was underweight?
VTI, at 44% vs. its 50% target.
Why did it receive this allocation?
It had the largest actionable gap.
What would happen next?
The plan is held for your review — nothing executes.

Future capability

Models produce opinions. Alepes decides what is allowed.

Designed for what comes next, Alepes may one day let models influence a Formation — at the level of a single holding, of the whole portfolio, or both. A model would never submit an order or move money. It produces investment intent, an input that Alepes resolves through your policy, constraints, and execution rules.

Designed for what comes nextNot available today

How a model would fit — one direction of flow

Model
Investment Intent
Alepes Policy
Resolved Formation
Allocation Engine
Shadow / Execute

The model is an input to Alepes policy — not the authority. Every step after intent is Alepes's own deterministic machinery, unchanged.

Holding models

A model assigned to one holding evaluates that asset and produces a signal or a constrained intent — a valuation read, a momentum view, a quality flag, a volatility measure, or a factor score. It never produces a broker order directly.

ValuationMomentumQualityVolatilityFactor score

Formation models

A Formation-wide model evaluates the portfolio as a whole and may propose target weights or portfolio-level adjustments. Alepes still validates the resulting Formation against your rules and safety constraints.

Minimum volatilityRisk parityBlack-LittermanFactor allocationVolatility targeting

A future Formation with models

Formation model
  portfolio-risk-v4

AAPL → valuation-quality-v2
MSFT → momentum-v1
VTI  → (no holding model)

When both levels exist, composition is explicit: holding models contribute asset-specific signals while a Formation-level model resolves those signals into a coherent portfolio view. There is no “most specific model wins.” Any override behavior is a policy you configure, not a default.

Model output is subordinate to Alepes policy

Example

Model: AAPL target = 40%

Constraint: max single holding = 20%

Result: Alepes caps the target at 20%

Example

Model: allocate $800

Capital plan: only $240 investable

Result: Alepes can allocate at most $240

  • Disabled securities remain disabled.
  • Reserve rules still apply.
  • Contribution limits still apply.
  • Execution policy remains independent.
  • Models cannot bypass pause or kill switches.

Models would start in Shadow Mode

A future model would first run in Shadow Mode, where Alepes compares the current Formation, your target Formation, and a model-resolved Formation — side by side, with nothing executed. This is a simulation to review, not a live allocation.

Current Formation

40 / 35 / 25

User target

50 / 30 / 20

Model-resolved target

44 / 38 / 18

A new flow of $500 would be allocated against the resolved target, and the difference would be explained — not silently adopted.

Simulation only — no live model-driven trading today

Every model evaluation, versioned and auditable

A future Alepes decision could record: which model was used, its version, the input snapshot, the resulting intent, the policy constraints applied, the final resolved Formation, the Shadow or execution decision, and an explanation of why the result changed. Alepes should be able to explain not only what a model suggested, but how Alepes transformed that suggestion into an allowed decision.

A future model ecosystem

Alepes owns the model system. External libraries may provide model implementations.

Models produce investment intent. Alepes resolves that intent into a Formation and applies its existing deterministic financial and safety policies.

Alepes-native deterministic models

Momentum, valuation, volatility targeting, contribution tilt, and factor scoring — simple, explainable, and policy-bounded.

Portfolio-model libraries

Proven portfolio-optimization libraries may one day provide Formation-wide models such as minimum volatility, maximum Sharpe, Black-Litterman, or hierarchical risk parity. This is an example of a type of integration, not something integrated today.

Alepes is designed to host multiple model types without making any one quantitative framework the financial brain of the product.

Models produce opinions. Alepes decides what is allowed.

Product preview

A look at Alepes.

Static mock views of the product. No live connections, no real accounts.

OverviewFormationRulesShadow ModeActivity

Formation check

drifted
SymbolTargetCurrentAction
VTI50%44%Buy
AAPL25%30%Hold
VXUS25%26%Hold

New contribution → directed primarily toward VTI, the most underweight holding.

Built for visibility before automation.

Alepes is being developed as a rules-based capital-allocation system. The preview shows product concepts and simulated behavior; live financial execution is not represented here.

You define the rules and targets.

Nothing moves without a rule and an allocation you authored. Reserves, caps, and target percentages are yours to set.

Contribution-based by default.

Alepes directs new money toward underweight holdings. It does not sell existing holdings unless you explicitly allow it.

This preview is for informational purposes only and is not a recommendation to buy or sell any security. Alepes does not currently offer live brokerage execution or funds transfer.

Build your formation.

Define how new money should move before it ever does.