In the North Bay, resources are all that matter. And when the price of those resources crosses the 50 day moving average, it's a sign that something big is happening. That's why the share price of North Bay Resources crossed above the 50 day moving average. They're on the move, and they're about to take the market by storm.
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Popularity index (a percentage) is used to analyze and predict item sales, chart variations in demand for foods, and each item's popularity in relation to other items.
Popularity Index= (# servings of an item) / (total # of servings of all items in that category) (Inman page 4 in Domain IV)
Procurement (determine needs) is based on the # to be served, size, portion, and amount of waste. Multiply portion size by the number of servings, convert to pounds for edible portion.
Edible portion = (# of servings)*(portion size)
E.g. How much tofu should be purchased to produce twenty, four-ounce servings if it has a 50% yield?
Amount to purchase = (edible portion) / (percent yield ) (Inman page 6 in Domain IV)
Thus, EDIBLE PORTION in ounces = (PORTION SIZE) X (# OF SERVINGS).
AMOUNT TO PURCHASE = (EDIBLE PORTION in pounds) / (PERCENT YIELD, WHICH IS THE AMOUNT PROVIDED BY 1 POUND OF THE ITEM) (Inman page 6 in Domain IV)
e.g. How much tofu should you purchase in order to produce 24, 6-oz servings of tofu scramble if it has a 60% yield?
a. (6-oz serving) x (24 servings) = 144 servings in ounces
(144 oz) x ( 1 pound/16 ounces) = 9 pounds. We have 9 pounds of edible portion.
Remember that our yield for this recipe is 60%, or rather, 0.6 (60/100 = 0.6)
b. The amount of tofu you need to purchase is:
(9 pounds) / (0.6 yield) = 15 pounds. Purchas 15lbs of tofu.
To find the number of portions you need to prepare =
[(% shrinkage) x (ounces of ingredient)] / (serving size)
Example: How many servings/portions can you get from 40 pounds of raw kale with a 50% shrinkage if the serving size is 8oz?
So, we know that the kale is going to shrink by 50%. Start with subtracting the amount of kale that will be lost to shrinkage and convert this to ounces:
a. (50% shrinkage) x (40 pounds of kale) -> (0.5)(raw 40 pounds of kale) = 20 are lost in cooking. So, (40 raw pounds kale) - (20 pounds of kale lost in cooking) = 20 pounds of kale left as edible, or 320oz.
b. (320oz) / (8-oz serving sizes) = 40 portions
Economic order quantity is a quantitative approach to ordering regularly stocked items. Economic order quantity tries to find the quantity that minimizes purchasing and inventory costs. EOQ can be used to decrease cost by placing fewer large volume orders. When the cost of placing an order aligns with the cost of holding the items, you have obtained economic order quantity. The equation for economic order quantity is as follows:
√2*F/CP
F = fixed cost of making an order (acquisition cost)
S = sales or usage in units per year
C = carrying costs of inventory (the holding cost), expressed as a percentage of the total inventory
P = purchase unit price
Forecasting usage can be done through time series (e.g. moving average, exponential smoothing), causal models, subjective model (e.g. Delphi technique). (Inman Domain IV, page 8)
Moving average forecasting example: How many cases of oranges will be needed in November? Cases of oranges used: August - 350, September - 222, October - 315
So take the average: (350 + 222 + 315) / 3 = 296. You will need 296 cases of oranges in November.
Seat turnover: (customers per meal) / (# of seats).
The dining hall is open for 4.5 hours. Seats turnover 1.5 times per hour. You need to seat 250 students. How many seats do you need?
(4.5) x (1.5) = 6.75 can be served from one seat. 250/6.75 = 37 seats needed
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Lambda Moving Average Formulas
In two recent articles, Excel Lambda Moving Average and Improved Excel Lambda Moving Average, I described my efforts to build a Lambda moving average formula that worked the way I wanted it to. I’ve included average calculations for the first few data points before the number of points being averaged is met. I’t’ve also included only counting points within a set number of days, even if there are…
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ما هو مؤشر المتوسطات المتحركة؟ moving average
مؤشر المتوسطات المتحركة هو مؤشر فني يقوم بحساب متوسط الأسعار خلال فترة زمنية محددة، ويستخدم لتحديد اتجاه السوق ومستويات الدعم والمقاومة. وهو يقوم بتحويل سعر الأداة المالية، سواء كان سعر الإغلاق أو الأعلى أو الأدنى، إلى مؤشر يعبر عن الاتجاه العام للسوق.
على سبيل المثال، إذا كانت الأسعار تتحرك فوق متوسط الأسعار لفترة زمنية معينة، فإن هذا يشير إلى أن الاتجاه العام هو صاعد، بينما إذا كانت الأسعار…
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A moving average crossover scanner informs traders and investors about the price trends in the stock market. The two basic uses of moving average are to regulate the trend direction and determine the levels of support and resistance. In the moving average, the prices of stocks vary every now and then and this average is calculated every time there is a change in the prices.
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Excel Lambda Moving Average
Moving Averages
When averaging time-series data, you often want to smooth out peaks and valleys. A moving average is an easy way to smooth your data. When I track my weight, for example, I use a 7-day moving average. This smooths out peaks associated with weekends when I might go out to eat and enjoy a beer or two.
The image below shows 25 random data points and a five-point moving average. The…
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Was sind Trading Indikatoren und welche sind die besten?
Was sind Trading Indikatoren und welche sind die besten?
Jeder kann genauso wie sein Nachbar oder ein Profi an der Börse investieren und versuchen, dabei besonders gewinnversprechende Geschäfte zu machen.
Trading ist dank diverser Online-Plattformen und Mobile Apps längst im Mittelpunkt der Gesellschaft angekommen. Jeder kann genauso wie sein Nachbar oder ein Profi an der Börse investieren und versuchen, dabei besonders gewinnversprechende Geschäfte…
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Introduction to Moving Averages | Technical Analysis
Moving averages can be a useful tool used by traders to make educated choices. Moving averages are calculated by determining the price that an asset has averaged over a specified time. For instance, if studying a moving average over the last month then you'll need to add the closing prices for the last 30 days , and divide them by 30.
One of the advantages of using moving averages is that it will help remove random price movements which gives you a clearer view of the overall trend. This is especially helpful during times of high volatility, when prices fluctuate wildly and it's difficult to know what's happening.
When looking at different moving averages, bear in mind that higher-quality moving averages have a greater influence on resistance and support levels. As a principle, higher moving averages are more suitable as indicators for the long term, whereas smaller ones (such as a five-day moving average) are better for short-term indicators.
Moving averages are an effective way to analyse price fluctuations and detect trends. In the event that the value of the particular stock is higher than the moving mean line, it could mean that it's trending upwards, and the average may act as an aid. If the price falls below the line of the moving average this could mean the price is falling and the moving average may act as a resistance.
Formula of Moving average
MA = (D1+D2+D3 +………. Dn) / n
The 'D' in this example is the data points and "n" is the count of data points.
There are various kinds of moving averages, which include simple Moving Average (SMA), Weighted Moving Average, as well as the Exponential Moving Average (EMA)
If you're interested in learning how to use EMA i.e. exponential moving average, and its use in pullback trading visit the Pullback Trading using EMA Breakout Strategy blog to learn how to trade pullbacks with ease.
Formula of Moving average
MA = (D1+D2+D3 +………. Dn) / n
The 'D' in this example is the data points and "n" is the count of data points.
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