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Methodology

Transparency at every calculation step

Traceable, deterministic and honest. This is how Investboard works.

Investboard discloses how calculations are performed, where data comes from and which assumptions are made. Every figure is traceable: no black boxes, no hidden models.

01

Portfolio analysis

Portfolio analysis follows a structured process that runs automatically and deterministically.

Data import & aggregation
CSV import: transaction data from common banks and brokers is read in and normalised
  • Position aggregation: individual transactions are consolidated into positions (FIFO principle)
  • Automatic detection: currency, asset class, and ISIN are assigned automatically on import
  • Duplicate detection: already-imported transactions are recognised and not recorded twice
  • Allocation calculation
    • The actual allocation is based on the current market value of all positions
    • Categorisation by asset class, region, sector, and currency
    • Weighting relative to the total portfolio value
    • Overlaps between ETFs are taken into account (look-through)
    Performance tracking
    • Time-weighted return (TWR) to compare investment quality independently of inflows and outflows
    • Money-weighted return (MWR) for the actual investor experience, accounting for timing effects
    • Benchmark comparison against freely selectable indices
    • Dividends, distributions, and costs are taken into account

    02

    Tax calculation

    The tax calculation models the German tax waterfall for capital income in detail:

    1

    Gross capital income

    Dividends, realised capital gains, advance lump sums (Vorabpauschale)

    2

    Saver's allowance (Sparerpauschbetrag)

    EUR 1,000 (individual) or EUR 2,000 (joint filing) is deducted

    3

    Partial exemption (Teilfreistellung)

    Depending on fund type: 30% (equity funds), 15% (mixed funds), 60% (real-estate funds), 80% (foreign real-estate funds)

    4

    Flat capital-gains tax (Abgeltungsteuer)

    25% on the remaining taxable amount

    03

    Data sources

    Investboard sources market data from professional, regulated data providers:

    Price data

    • Twelve Data: real-time and historical prices
    • Update frequency: daily (end-of-day) plus intraday
    • Coverage: stocks, ETFs, funds, bonds
    • Fallback on data outages: last known price, clearly flagged

    Fundamental data

    04

    Rebalancing & optimisation

    Rebalancing recommendations are calculated algorithmically based on the target allocation:

    Drift detection

    Drift measures how far the current allocation deviates from the target allocation. Investboard calculates the absolute and relative drift for each asset class and position.

    • Absolute drift: the difference in percentage points between actual and target
    • Relative drift: the percentage deviation from the target weight
    • Configurable thresholds: when a rebalancing suggestion is triggered
    Optimisation algorithm

    05

    Use of AI

    Investboard uses artificial intelligence deliberately and transparently. Its use follows clear principles:

    What AI is used for

    • Explanation: presenting metrics and portfolio performance clearly
    • Pattern detection: identifying anomalies in allocation or costs
    • Summary: a daily briefing and portfolio overview
    • Conversation: answering questions about your own portfolio

    What AI is not used for

    06

    Limits & transparency

    Investboard communicates clearly what the platform does and does not do. Honesty about its own limits is part of the product promise.

    No investment advice

    Investboard is an analysis tool. The platform does not provide individual investment advice within the meaning of the WpHG (the German Securities Trading Act). All information is for illustration only.

    No trade execution

    Investboard does not carry out securities transactions and is not connected to custodian banks or brokers. Strategy and analysis, not execution.

    No future forecasts

    The standard

    Strategy, not trading. Clarity, not noise.

    See the methodology

    Transparent calculations, traceable methods. See it in the product.

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    5

    Solidarity surcharge (Solidaritätszuschlag)

    5.5% on the Abgeltungsteuer

    6

    Church tax (optional)

    8% or 9% on the Abgeltungsteuer, depending on the federal state

    Tax rates are based on applicable German tax law (EStG §20, InvStG). Investboard does not provide tax advice. The calculation is for illustration and does not replace individual tax review.

    Financial Modeling Prep: company metrics, ETF holdings
  • Update frequency: daily
  • Quality control: automatic plausibility checks
  • History: changes are stored with versioning
  • Data quality is monitored continuously. The user is informed of discrepancies or missing data points.

    Calculation of the required buy/sell amounts per position
  • Minimising the number of transactions for a given budget
  • Tax effects are accounted for: realising gains is made transparent
  • Cash-flow-optimised: favouring additional purchases over sales where possible
  • What rebalancing is not

    Investboard calculates recommendations but does not execute any transactions. The decision always rests with the user. Rebalancing suggestions are not investment advice, but a mathematical tool for adhering to your own defined strategy.

    • No predictions: no price or return forecasts
    • No decisions: AI makes no investment decisions
    • No guarantees: statements are phrased as context, not certainty
    • No autonomous action: no automated transactions
    Model & security
    • Language model: Claude (Anthropic), with no access to external systems or the internet
    • Context: the AI receives only the portfolio data of the individual user, never another user's data
    • Phrasing: answers deliberately use formulations such as 'Based on the available data...' or 'One possible interpretation is...'
    • Human in the loop: every AI-generated recommendation requires an active user decision
    • No training data: user data is not used to train AI models

    The platform analyses historical and current data but makes no forecasts about future price movements or returns.

    No return guarantees

    Past performance is not a reliable indicator of future results. Investboard makes this clear in all analyses.