diff --git a/persistence.lua b/persistence.lua
index e7bfec5..20283a7 100644
--- a/persistence.lua
+++ b/persistence.lua
@@ -23,7 +23,7 @@ function private.get_dataset_key()
 	return realm..'|'..faction
 end
 
-function private.load_dataset()
+function public.load_dataset()
     local dataset_key = private.get_dataset_key()
     aux_database[dataset_key] = aux_database[dataset_key] or {}
     return aux_database[dataset_key]
diff --git a/stat_average.lua b/stat_average.lua
new file mode 100644
index 0000000..b4845ad
--- /dev/null
+++ b/stat_average.lua
@@ -0,0 +1,189 @@
+private, public = {}, {}
+Aux.stat_average = public
+
+private.PUSH_INTERVAL = 57600
+
+function private.load_data()
+	local dataset = Aux.persistence.load_dataset()
+	dataset.stat_average_data = dataset.stat_average_data or {}
+	return dataset.stat_average_data
+end
+
+function private.get_item_key(auction_info)
+	return auction_info.item_id..':'..auction_info.suffix_id
+end
+
+function private.process_auction(auction_info)
+	if auction_info.buyout_price == 0 then
+		return
+	end
+	
+	local item_record = private.load_data()[get_item_key(auction_info)] or {
+		auction_count = 0,
+		unit_count = 0,
+		accumulated_buyout_price = 0,
+	}
+	
+	
+	item_record.auction_count = item_record.auction_count + 1
+	item_record.unit_count = item_record.unit_count + auction_info.count
+	item_record.accumulated_buyout_price = item_record.accumulated_buyout_price + auction_info.buyout_price
+
+
+	--[[ data = {
+		[1] = total buyout,
+		[2] = seen count,
+		[3] = today's minimum buyout,
+		[4] = auctions count, (only recorded if different from seen count)
+	}--]]
+
+	
+	if data0 then
+		local aucs = data0[4]
+		if aucs then
+			data0[4] = aucs + 1
+		elseif stack > 1 then
+			-- no recorded auctions count, so auctions count must have been equal to seen count up to this point
+			data0[4] = data0[2] + 1
+		end
+		local mbo = data0[3]
+		if mbo == 0 or buyoutper < mbo then
+			data0[3] = buyoutper
+		end
+		data0[2] = data0[2] + stack
+		data0[1] = data0[1] + buyout
+	end
+
+	if dataP then
+		local aucs = dataP[4]
+		if aucs then
+			dataP[4] = aucs + 1
+		elseif stack > 1 then
+			-- no recorded auctions count, so auctions count must have been equal to seen count up to this point
+			dataP[4] = dataP[2] + 1
+		end
+		local mbo = dataP[3]
+		if mbo == 0 or buyoutper < mbo then
+			dataP[3] = buyoutper
+		end
+		dataP[2] = dataP[2] + stack
+		dataP[1] = dataP[1] + buyout
+	end
+
+	private.WriteItemData(serverKey, storeID, storeProperty)
+end
+
+function private.push_data()
+	local realmdata = SSRealmData[serverKey]
+	if not realmdata then return end
+	local daily, means = realmdata.daily, realmdata.means
+	local lookupmeansdata, lookupmeansindex = {}, {}
+
+	for storeID, itemstring in pairs(daily) do
+		-- find the means data for this storeID, and build lookup tables to help cross-index
+		-- we leave the last (DATA_DIVIDER) level of the data as strings for now; later we will fully unpack only the ones we need
+		local itemstoremeans
+		if means[storeID] then
+			itemstoremeans = {strsplit(ITEM_DIVIDER, means[storeID])}
+		else
+			itemstoremeans = {}
+		end
+		for index, propertystring in ipairs(itemstoremeans) do
+			local prop, datastringmeans = strsplit(PROPERTY_DIVIDER, propertystring)
+			lookupmeansdata[prop] = datastringmeans
+			lookupmeansindex[prop] = index -- remember where we got datastringmeans from, so we can put the revised datastring back in the same place
+		end
+
+		local itemsdaily = {strsplit(ITEM_DIVIDER, itemstring)}
+		for index, propertystring in ipairs(itemsdaily) do
+			-- extract daily data entries for this itemID & property
+			local prop, datastringdaily = strsplit(PROPERTY_DIVIDER, propertystring)
+			local dailybuy, dailyseen, dailymbo, dailyauctions = strsplit(DATA_DIVIDER, datastringdaily)
+			dailybuy, dailyseen, dailymbo, dailyauctions = tonumber(dailybuy), tonumber(dailyseen), tonumber(dailymbo), tonumber(dailyauctions)
+			local dailyavg = dailybuy
+			-- dailyseen may be 0 for certain unusual items which do not modify property "0"
+			-- our database format requires that there must always be a property "0" (which must always be at index 1)
+			-- if no items of that base type with property "0" were seen today, the entry will be empty (all 0)
+			if dailyseen > 0 then
+				dailyavg = dailyavg / dailyseen
+			end
+
+			-- look for existing means data for this property
+			local datastringmeans = lookupmeansdata[prop]
+			if datastringmeans then
+				if dailyseen > 0 then
+					datameans = {strsplit(DATA_DIVIDER, datastringmeans)} -- seendays, seencount, EMA3, EMA7, EMA14, avgminbuy [, seenauctions]
+					for k, v in ipairs(datameans) do
+						datameans[k] = tonumber(v)
+					end
+
+					-- update means data for this entry
+					local seendays = datameans[1]
+					local newseendays = seendays + 1
+					datameans[1] = newseendays
+					datameans[2] = datameans[2] + dailyseen
+					local seenauctions = datameans[7]
+					if seenauctions then
+						datameans[7] = seenauctions + (dailyauctions or dailyseen)
+					else
+						datameans[7] = dailyauctions -- may be nil
+					end
+
+					if seendays < 3 then
+						-- for first 3 days perform plain average insead of EMAs
+						datameans[3] = numberformat((datameans[3] * seendays + dailyavg) / newseendays) -- EMA3
+						datameans[6] = numberformat((datameans[6] * seendays + dailymbo) / newseendays) -- average minimum buyout
+						if newseendays == 3 then
+							-- this is the third day, prep other EMAs for next time
+							datameans[4] = datameans[3]
+							datameans[5] = datameans[3]
+						end
+					else
+						-- do normal EMA calculations
+						datameans[3] = numberformat((datameans[3] * 2 + dailyavg) / 3) -- EMA3
+						datameans[4] = numberformat((datameans[4] * 6 + dailyavg) / 7) -- EMA7
+						datameans[5] = numberformat((datameans[5] * 13 + dailyavg) / 14) -- EMA14
+
+						local avgmbo = datameans[6] -- average minimum buyout
+						if avgmbo < 1 then
+							datameans[6] = dailymbo
+						else
+							if dailymbo >= 1 then
+								if avgmbo < dailymbo then
+									if (avgmbo*10/dailymbo) < 9 then
+										datameans[6] = numberformat((avgmbo+dailymbo)/2)
+									else
+										datameans[6] = numberformat((avgmbo*7+dailymbo)/8)
+									end
+								else
+									if (dailymbo*10/avgmbo) < 9 then
+										datameans[6] = numberformat((avgmbo+dailymbo)/2)
+									else
+										datameans[6] = numberformat((avgmbo*7+dailymbo)/8)
+									end
+								end
+							end
+						end
+					end
+					itemstoremeans[lookupmeansindex[prop]] = prop..PROPERTY_DIVIDER..tconcat(datameans, DATA_DIVIDER)
+				end
+			else
+				-- this property has not been seen before, create a new entry for it
+				-- we don't need to use an intermediate table, we can build the datastring directly
+				-- there is no need to update lookupmeansdata[prop] or lookupmeansindex[prop], as each prop should only occur once for each storeID
+				if dailyauctions then
+					tinsert(itemstoremeans, newstringtemplate7:format(prop, dailyseen, dailyavg, dailymbo, dailyauctions)) -- represents data table with 7 entries
+				else
+					tinsert(itemstoremeans, newstringtemplate6:format(prop, dailyseen, dailyavg, dailymbo)) -- represents data table with 6 entries (missing seenauctions)
+				end
+			end
+		end
+
+		means[storeID] = tconcat(itemstoremeans, ITEM_DIVIDER)
+		wipe(lookupmeansdata)
+		wipe(lookupmeansindex)
+	end
+
+	realmdata.dailypush = time() + PUSHTIME
+	wipe(daily)
+end