Rocklin Real Estate

Rocklin is comprised of 2 zip codes. One is an older zip code with older homes. The northern-most zip code has high values and large homes.

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Fair Oaks – FolsomRosevilleOrangevale – CarmichaelCitrus Heights – Rocklin – Rancho Cordova

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Critical data elements for the current month and each of its occurrence for 10 years earlier. The averages are shown to help describe how the current market deviates from average for these data items.
Rocklin 95677 Annual History
Rocklin 95677 Annual History
The ‘Median’ Price means half of Sold prices were lower and half were higher. The other popular measurement is the ‘Average’ Price. Using the ‘Median’ eliminates the effect of outliers on a meaningful measurement. The Momentum and the 12-month moving average (12MM), both based on the Median Price, help predict future changes and indicates possible investment actions. Momentum detects changes in the rate of change from month to month and therefore moves before the Price change is evident. The monthly Price change pulls and pushes on the Moving Average of the Price. For highly variable prices (e.g., Loomis 95650), Momentum and the MA of the Price is more difficult to translate.
The 12 Month Moving Average is a ‘trailing indicator’ of the Price that places a greater weight and significance on the most recent data points. Like all moving averages, this technical indicator is used to produce buy and sell signals based on its relation to the Price changes it is measuring. Traders often use several different EMA lengths, such as 10-day, 50-day, and 200-day moving averages. Investment analysis usually uses data with a 1-day occurrence. Real estate data, although happening daily, is reported monthly. Therefore, these calculations use the frequency of source data – monthly, therefore 12 month MA.
Showing the Median Price and its Momentum (Þ) together makes it easier to explain how crossing the X axis “warns” the investor that the momentum is triggering a possible action. Because Momentum is not perfect, there is a time lag and, therefore, lost opportunity to either gain more or lose less from the actual peak/trough to the crossing of the X axis.

The real estate market was created to exchange “products”: money and houses. When a house is made available to prospective buyers, there is a response to that “Product”. That response can be shown by the current and historic data and the trends and shapes of those lines. An ACTIVE listing is briefly also NEW. When a seller and buyer enter escrow, the “Product” becomes PENDING. If that buyer and seller execute the contract, the “Product” becomes SOLD. The life of all “Products” (MLS only) can be seen in these charts and blurbs.

Pending over New listings render the calculation called “appetite” for new residential listings for the month. If New and Pending are equal, it represents an eager demand. If New is less than Pending, supply will vanish if it continues.

Sold over Active listings render the calculation called “turnover” of residential listings for the month. If Active and Sold are equal, it represents an eager demand. If Active is less than Sold, supply will vanish if it continues.

Consumption is a simple calculation of demand (P+S) and supply (N+A). Listings go from Active (New), to Pending, to Sold. From Pending back to Active means escrow failure. Supply is Active listings which grows by New listings and Demand is the depletion of supply by Pending and Sold listings.

Cumulative Days on Market (CDOM) represents the number of days a listing spends ACTIVE until SOLD. The number of days PENDING are excluded from the CDOM number.

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