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PRO
SELF-DIRECTED INVESTING

Build and optimize your portfolio like a Pro.

For investors who choose their own stocks and ETFs. Structure allocations, set constraints and optimize your portfolio with vollat.

Get Pro€6.90 / month
Advanced portfolio controls

Your existing learning, portfolio tools and Free access remain available.

PRO
PORTFOLIO LAB
ConstraintsMax Weight: 40%
OptimizationIllustrative example
vollat PRO
Target portfolio
Return7.80%Volatility10.20%Sharpe0.62Turnover22.00%
Turnover22.00%PRO
Current WeightTarget Weight
SPY55.00% 40.00%
AAPL25.00% 18.00%
AGG15.00% 28.00%
GLD5.00% 14.00%
Example weights and estimates · not a live portfolio
vollat PROOptimizationConstraintsTurnoverHistory
01 / UNIVERSE

Your holdings

Your stocks. Your ETFs. Your starting point.

02 / MANDATE

Constraints

Set the boundaries before the calculation, from position size to sector exposure.

03 / COMPARISON

Current vs. optimized

Inspect the changes in weights, risk and turnover, then save your target.

CONSTRAINT LAB

One rule. A different balance.

See how a constraint can change the allocation. Choose a rule and watch the example portfolio respond.

VOLLAT PRO / Illustrative example

Allocation impact

BeforeAfter
SPY55%30%
AAPL25%25%
AGG15%30%
GLD5%15%

No position above 30%. The largest holding is reduced and the weight moves to other assets.

Largest position55%30%
Volatility12.4%9.6%
Return8.6%7.4%
Turnover½ Σ |Δw|25%
The trade-off

Lower concentration can mean more turnover. A lower risk target can also reduce estimated return.

Illustrative scenarios, not live calculations or a forecast. Constraints can lower estimated return and require more trades.

OUT-OF-SAMPLE / OOS

A good backtest is only the beginning.

Out-of-sample (OOS) checks an allocation on later historical data that were not used to choose its weights.

Why this matters

This helps reveal allocations that only looked strong in their fitting period. It supports a more robust assessment; historical validation does not guarantee future returns.

Understand the method
Validation beyond the calculation
Known dataSet weightsLater data
  1. 01

    Calculate with what was known.

    Choose the allocation using only information available at that point.

  2. 02

    Keep the decision fixed.

    Evaluate those weights in the next historical period, without using its prices in advance.

  3. 03

    Move forward. Test again.

    Repeat across successive windows to see how the method behaves beyond the data used to fit it.

Illustrative walk-forward example · not portfolio results

VOLLAT PRO

More control over every allocation.

For investors who choose their own stocks and ETFs. Structure allocations, set constraints and optimize your portfolio with vollat.

Constraints

Min Weight · Max Weight · Asset count · Volatility target · Sector cap · Country cap · Must include · Exclude · Objective priorities

Risk

Volatility · Sharpe · Drawdown · Turnover

PRO
€6.90 / month

€6.90 total per month. Renews monthly until cancelled; cancel at any time for the end of the paid period.

Advanced portfolio controls

  • Allocation
  • Risk
  • Constraints
  • Optimization
  • History

Current early-access limits: 5 portfolios and 25 engine runs per account. Internal Rebalance and Add Money do not consume runs.