The Algorithm
The Postcode Pricing Model generates an estimated price by using the changes in average sales price from when the house was purchased.
The average price is obtained by taking a geometric mean of the completed sales within the SW1X postcode.
Three estimates are calculated, each using a different timeframe of one month, three months and six months.
The longer timeframes give a less volatile result, but are less relevant to the current market.
The Calculations
 Purchase Date February 2019 Purchase Price £6,600,000 One Month Average Price between February 2019 and March 2019 £1,660,120 (2 sales) Average Price between March 2022 and April 2022 £3,535,534 (2 sales) % difference 112.969 % £ difference ( 112.969 % of £6,600,000 ) £7,455,926 Estimated Price £14,055,926 Three Months Average Price between December 2018 and March 2019 £3,299,671 (12 sales) Average Price between January 2022 and April 2022 £2,807,216 (9 sales) % difference -14.924 % £ difference ( -14.924 % of £6,600,000 ) £-985,008 Estimated Price £5,614,991 Six Months Average Price between September 2018 and March 2019 £1,513,215 (50 sales) Average Price between October 2021 and April 2022 £1,683,551 (35 sales) % difference 11.257 % £ difference ( 11.257 % of £6,600,000 ) £742,933 Estimated Price £7,342,933
The Pros and Cons

Based on actual sales data

The model is based upon actual completed sales figures.
Other models, for example the Halifax House Price Index are based on approved mortgage applications rather than completed sales.
Although mortgage approvals give a more timely index, not every approval leads to a completed sale.
Additionally within some districts many properties are purchased mortgage free by foreign nationals, this skews the Halifax and Nationwide House Price Indexes.

Model lags current market

The model's estimates lag behind the current market because it is based upon completed sales.
A typical house transaction takes around 8 weeks to complete, this creates a lag from the date the price is agreed to the date the transaction is recorded.
Therefore, on a rising market this model will underestimate the house price and on a falling market this model will overestimate the price.

Model doesn't adjust for home improvements

This is an algorithmic model which is based purely on changes to average house prices.
The model doesn't factor in any improvements made to the specific property.
This aspect of the model is not as bigger weakness as expected.
On average most homes get brought, get some level of home improvement, and then get sold in a seven year period.
Therefor the sample which we draw the averages from also contains houses which have had home improvements.
We always recommend that you use a professional valuer, or estate agent to get an accurate valuation.

Uses postcode boundaries

A house's postcode is an important factor to its price.
Prices in one postcode can appreciate, while houses in the next postcode stagnate.
Other information on this house

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