Methodology

Price data

Every calculation is based on our own price database: about 1.52 million records at 5-minute resolution, reaching back continuously to 1 January 2012. The current live price is added every 30 seconds from Coinbase.

US-dollar prices are real historical data. Euro values before roughly 2024 are converted from the USD price at a reference rate - a point-in-time EUR/USD rate is not available for the deep history. Sources and update cadence are documented openly under "About the data".

DCA calculator

For each buy date in the chosen interval we take the nearest real price from the database and compute how much Bitcoin the fixed amount would have bought at that price. The amounts are summed over the period.

Today's value = accumulated BTC × current price. Return = (today's value − total contributions) ÷ total contributions. No fees or spreads enter the calculation - it is an idealised simulation.

What-if

A one-off investment: the entered amount buys a BTC quantity at the real price on the chosen date; its value today follows from the current price. Same data basis as the DCA calculator.

Fee calculator

Transaction fee = transaction size (in virtual bytes, vB) × fee rate (sat/vB). The current fee rates (fastest, ~30 min, ~1 h) come live from the mempool via mempool.space. SegWit transactions are smaller (fewer vB) and therefore cheaper.

Technical analysis

All indicators are computed deterministically from daily closes - no AI model, no LLM: RSI over 14 periods, MACD (12/26/9), moving averages over 7/30/100 days, support/resistance from local extrema.

The tension map places the market in a field of RSI (momentum) and price deviation from the 30-day average (trend strength). Indicators are descriptive - they are not a forecast.

Volatility clock

For each hour we compute the relative range (high − low) ÷ low and average it across all history per weekday-and-hour combination (all times in UTC). That reveals when Bitcoin moves the most on average.

This cannot be derived from daily closes - it needs the intraday resolution of our own database. Historical patterns need not repeat.

Whale tracker

We record on-chain transfers of 100 BTC or more and join each with the price at the time of the transfer (EUR and USD). The statistics are purely descriptive.

Important: we make no causal claims ("whales move the price"). Many large transfers are moves between an exchange’s own wallets or into cold storage - with no market impact.