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Move up when the research calls for it.

30-day free trialon paid plans: Advanced, or the one you pick below. Free forever.

Screeners, backtesting and two strategies are free. Below, every plan goal by goal: open a row to see every method, rule and analysis it holds.

allocation methods for a strategy

methods for a Combined strategy

covariance estimators

kinds of risk-on/off rule

tabs in Analysis

10,000

projection scenarios, at most

How much the product holds, not results. Free starts with 2 methods and 4 analysis tabs, the projection cone among them.Counted from the same source the app enforces

Prices in EUR · VAT may apply

Free

For exploring an idea

EUR 0

2saved strategies
2allocation methods
500projection scenarios

Free forever

Start building

Starter

For your first real strategy

EUR 29EUR 276/ month/ year

7allocation methods
3×maximum leverage
Includedcosts in the simulation

No card

Try Starter for 30 days

Advanced

For serious strategy research

EUR 79EUR 756/ month/ year

15allocation methods
5strategies in one Combined
4kinds of risk-on/off rule

No card

Try Advanced for 30 days

Ultimate

For running the whole book

EUR 149EUR 1,428/ month/ year

23allocation methods
8covariance estimators
10,000projection scenarios

No card

Try Ultimate for 30 days

Professional / EnterpriseFor teams and firms that need more than Ultimate.Get in touch →

What you add one plan up

Only the difference between two neighbouring plans

Free → Starter+EUR 29 / month+EUR 276 / year

Allocation methods: 2 → 7
Correlation estimators: 5
Saved strategies: 2 → No limit
Instruments per strategy: 5 → 10
Screeners per strategy: 1
Leverage: 1× → 3×
Simulation realism: costs
Analysis tabs: 4 → 6
Backtest history from: 2020 → 2010
Monte Carlo projection cone · Scenarios: 500 → 1,000
Strategies followed Live: 1
Holdings page

Starter → Advanced+EUR 50 / month+EUR 480 / year

Allocation methods: 7 → 15
Allocation methods for a Combined: 7
Covariance estimators: 5
Instruments per strategy: 10 → 25
Screeners per strategy: 1 → 2
Combined strategies: 5
Risk-on/off rules: 4
Leverage · Volatility target
Simulation realism: costs → costs + taxes
Analysis tabs: 6 → 10
Advanced analyses: 3
Backtest history from: 2010 → 2000
Monte Carlo projection cone · Scenarios: 1,000 → 2,000
Monte Carlo projection cone · Horizon: 1 year → 3 years
Strategies followed Live: 1 → 5
Compute power: 4 → 8

Advanced → Ultimate+EUR 70 / month+EUR 672 / year

Allocation methods: 15 → 23
Allocation methods for a Combined: 7 → 15
MPT (Markowitz) options: 2
Covariance estimators: 5 → 8
Correlation estimators: 5 → 6
Instruments per strategy: 25 → 50
Screeners per strategy: 2 → 8
Combined strategies: 5 → 10
Risk-on/off rules: 4 → 5
Advanced analyses · Backtest reliability: 100 → 1,000
Backtest history from: 2000 → All history
Monte Carlo projection cone · Scenarios: 2,000 → 10,000
Monte Carlo projection cone · Horizon: 3 years → 5 years
Strategies followed Live: 5 → No limit
Compute power: 8 → 16
Support: Standard → Priority

No credit card to start · Cancel anytime↓ Compare goal by goal

Compare plans

Goal by goal. Open a row to see everything.

Closed, each row counts what every plan has. Open, it lists every item.

Goal

Free

EUR 0

Start building

Starter

EUR 29 / mo

Try Starter for 30 days

Advanced

EUR 79 / mo

Try Advanced for 30 days

Ultimate

EUR 149 / mo

Try Ultimate for 30 days

Build

What a strategy can hold, and how it is weighted

Allocation methodsOf the 23 methods available today

On every plan

Equal WeightsEvery instrument receives an equal weight

Fixed AllocationSet a weight for each instrument manually

From Starter

Market CapInstruments are weighted by market capitalization

Min CorrelationWeights minimize the overall portfolio correlation

Inverse VolatilityLess-volatile instruments receive higher weights

Ranking-BasedWeights are assigned based on a chosen ranking metric

FloatingWeights drift between rebalances and realign periodically

From Advanced

Risk ParityInstruments contribute equal risk to the portfolio

MPT (Markowitz)Modern portfolio theory: optimize on a risk/return objective

Black-LittermanMarkowitz with corrected expected returns: a stable equilibrium tilted by momentum views

MimickingTrack the weights of a chosen reference instrument

Beta NeutralLong + short legs sized to target a portfolio beta

HRP · Hierarchical Risk ParityGroups similar instruments and splits the risk between the groups

HERC · Equal Risk per GroupLike HRP, but follows the real groups and gives each the same risk

NCO · Nested Clustered OptimizationOptimizes inside each group of similar instruments, then across the groups

From Ultimate

Maximum DiversificationFavours the instruments that move most differently from the rest

Minimum MADReduces the average deviation of returns: one unusual day weighs little

Minimum CVaRReduces the average loss on the worst days

CDaR · Conditional drawdownReduces the longest and deepest stretches below the peak

EVaR · Entropic VaRMore prudent than CVaR, stable even with little history

Scenario CVaRGenerates possible futures and reduces the worst losses across them

Robust worst casePicks the weights whose worst scenario is least severe

Stochastic programmingPlans over a tree of scenarios, accounting for the cost of rebalancing

Allocation methods for a Combined15 methods of the 23 available also work at the portfolio tier

From Advanced

Equal WeightsEvery instrument receives an equal weight

Risk ParityInstruments contribute equal risk to the portfolio

Inverse VolatilityLess-volatile instruments receive higher weights

Ranking-BasedWeights are assigned based on a chosen ranking metric

MPT (Markowitz)Modern portfolio theory: optimize on a risk/return objective

Black-LittermanMarkowitz with corrected expected returns: a stable equilibrium tilted by momentum views

Fixed AllocationSet a weight for each instrument manually

From Ultimate

Maximum DiversificationFavours the instruments that move most differently from the rest

Minimum MADReduces the average deviation of returns: one unusual day weighs little

Minimum CVaRReduces the average loss on the worst days

CDaR · Conditional drawdownReduces the longest and deepest stretches below the peak

EVaR · Entropic VaRMore prudent than CVaR, stable even with little history

Scenario CVaRGenerates possible futures and reduces the worst losses across them

Robust worst casePicks the weights whose worst scenario is least severe

Stochastic programmingPlans over a tree of scenarios, accounting for the cost of rebalancing

MPT (Markowitz) optionsOf 2, inside MPT

ResampledSteadier weights, less sensitive to noise.

Constraints

Covariance estimatorsOf 8 — how a method estimates the covariance matrix

From Advanced

SampleThe classic estimate, with no corrections.

Ledoit-Wolf · identityReduces noise more firmly, treating every instrument the same way.

Ledoit-Wolf · constant correlationReduces noise by pulling correlations toward their average.

Exponentially weighted moving average (EWMA)Gives more weight to recent days: reacts sooner when volatility changes.

Manual shrinkageYou choose how much to correct, from 0 to 1.

From Ultimate

Marchenko-PasturSeparates the signal from the noise and keeps only the signal.

Nonlinear Ledoit-WolfA tailored correction for each part of the estimate.

Regime-conditional (HMM)Uses crisis correlations when the market is in crisis.

Correlation estimatorsOf 6 — how Min Correlation estimates the correlation matrix

From Starter

SampleThe historical estimate, computed on prices.

Pearson on returnsThe classic correlation, computed on daily returns instead of prices.

Spearman (rank-based)Compares the order of returns, not their size: extreme days weigh less.

Kendall (rank-based)Counts how often two instruments rise and fall together: the most robust to extreme days.

Exponentially weighted moving average (EWMA)Gives more weight to recent days: reacts sooner when correlations change.

From Ultimate

Marchenko-PasturSeparates the signal from the noise and keeps only the signal.

Saved strategies

No limit

Instruments per strategyRises with every plan

Screeners per strategyAttach a screener to a strategy

Combined strategiesComponents inside one Combined

Protect

When to step out of risk, how much leverage, what it really costs

Risk-on/off rulesOf 5 kinds — when a strategy switches to Risk-Off

Single series

Double series

Hidden regimes (Markov)

Clustering

Strategy's own performanceWatches your combined strategy itself, not an index: you move to Risk-Off when it gets too turbulent, falls too far from its peak or breaks its trend.

LeverageFree is unlevered; every paid plan reaches the same ceiling

1×

3×

Leverage

1×

3×

Volatility targetKeeps risk steady, not the capital invested.

Simulation realism

costs

costs + taxes

Costs in the simulation

Taxes in the simulation

Analyse

What the result tells you

Analysis tabsOf the 10 tabs in Analysis

Capital Growth

Position History

Performance Metrics

Monthly Returns

Allocation History

Components

Correlations

Start-Date Sensitivity

Projection

Robustness

Advanced analysesOf 3, inside the Analysis tabs

Strategies: where the result comes from

Regime timeline

Backtest reliabilityResamples

100

1,000

Screener backtestRe-screen the market month by month over history

Backtest history fromThe earliest year a backtest may start

2020

2010

2000

All history

Project

Where it could go, and with how much uncertainty

Monte Carlo projection coneOn every plan; the ceilings change

Scenarios

500

1,000

2,000

10,000

Horizon

1 year

3 years

5 years

Follow & help

After the backtest

Strategies followed Live

No limit

Holdings pageWhat to buy today, ticker by ticker

Compute powerHow much of one simulation computes at the same time — Starter matches Free

Support

Standard

Priority

Prices are current. Every figure in this table is read from the same source the app enforces.Fincanva is for education and illustration only. It is not personalised financial advice, and past or simulated results do not predict future ones. Read the Terms Addendum

Compare plans

Choose two plans to compare.

Marked with +: what the second plan adds.

StarterEUR 29 / mo

AdvancedEUR 79 / mo

Build

Allocation methods

On every plan

Equal Weights

Fixed Allocation

From Starter

Market Cap

Min Correlation

Inverse Volatility

Ranking-Based

Floating

From Advanced

Risk Parity

MPT (Markowitz)

Black-Litterman

Mimicking

Beta Neutral

HRP · Hierarchical Risk Parity

HERC · Equal Risk per Group

NCO · Nested Clustered Optimization

From Ultimate

Maximum Diversification

Minimum MAD

Minimum CVaR

CDaR · Conditional drawdown

EVaR · Entropic VaR

Scenario CVaR

Robust worst case

Stochastic programming

Allocation methods for a Combined

From Advanced

Equal Weights

Risk Parity

Inverse Volatility

Ranking-Based

MPT (Markowitz)

Black-Litterman

Fixed Allocation

From Ultimate

Maximum Diversification

Minimum MAD

Minimum CVaR

CDaR · Conditional drawdown

EVaR · Entropic VaR

Scenario CVaR

Robust worst case

Stochastic programming

MPT (Markowitz) options

Resampled

Constraints

Covariance estimators

From Advanced

Sample

Ledoit-Wolf · identity

Ledoit-Wolf · constant correlation

Exponentially weighted moving average (EWMA)

Manual shrinkage

From Ultimate

Marchenko-Pastur

Nonlinear Ledoit-Wolf

Regime-conditional (HMM)

Correlation estimators

From Starter

Sample

Pearson on returns

Spearman (rank-based)

Kendall (rank-based)

Exponentially weighted moving average (EWMA)

From Ultimate

Marchenko-Pastur

Saved strategies

No limit

Instruments per strategy

Screeners per strategy

Combined strategies

Protect

Risk-on/off rules

Single series

Double series

Hidden regimes (Markov)

Clustering

Strategy's own performance

Leverage

3×

Leverage

3×

Volatility target

Simulation realism

costs

costs + taxes

Costs in the simulation

Taxes in the simulation

Analyse

Analysis tabs

Capital Growth

Position History

Performance Metrics

Monthly Returns

Allocation History

Components

Correlations

Start-Date Sensitivity

Projection

Robustness

Advanced analyses

Strategies: where the result comes from

Regime timeline

Backtest reliability

100

Screener backtest

Backtest history from

2010

2000

Project

Monte Carlo projection cone

Scenarios

1,000

2,000

Horizon

1 year

3 years

Follow & help

Strategies followed Live

Holdings page

Compute power

Support

Standard

On every plan, Free included

The screener, over the whole universe — unlimited saved screeners, 10 filters each.
Backtesting on real market data, with the equity curve, portfolio metrics and monthly returns.
Profit reinvestment in every simulation.

FAQ

The short answers.

Billing and the honest basics. Everything else lives in Help & Docs.

Something else? Help & Docs →

Is there a trial?

Yes, and it starts by itself: every new account opens with 30 days of Advanced — or of the plan you clicked on this page — with no card. Move to another plan as often as you like while it runs; the 30 days are the total, whichever plans they are spent on. At the end you stay on Free and nothing is charged, unless you have added a card. Once per account.

What's free, exactly?

2 saved strategies, the screener over the whole universe, backtesting on real market data, and the core analysis views. No credit card.

Do backtests differ by plan?

Yes. What a strategy can hold — saved strategies, instruments, screeners — how realistic the simulation is (trading costs from Starter, taxes from Advanced), how much of a run computes at the same time, how many analysis views you get, and the leverage ceiling. The engine, the data and the math are the same on every plan.

Can I cancel anytime?

Yes. Cancel from Billing and your subscription ends at the next billing date. You will keep access until then.

What happens to my strategies if I downgrade?

Nothing is deleted. Your strategies stay saved; how many can stay active depends on the new plan's limits.

Does Fincanva give financial advice?

No. Fincanva is for education and illustration only. It is not personalised financial advice, and past or simulated results do not predict future ones. Read the Terms Addendum

Start free. Upgrade when the research demands it.

No credit card to start · Cancel anytime

Start building See a sample strategy

Fincanva is for education and illustration only. It is not personalised financial advice, and past or simulated results do not predict future ones. Read the Terms Addendum