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Explore the accuracy of price patterns in agriculture linked to supply, demand, storage costs, and livestock cycles. Learn about charting techniques, buy & sell signals, resistance, support levels, and technical indicators like RSI.
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ECON 337: Agricultural Marketing Chad Hart Assistant Professor chart@iastate.edu 515-294-9911
Charting and Technicals Today’s Topic
A price pattern that repeats itself with some degree of accuracy year after year. Supply and demand Often sound reasons Widely known Linked to storage cost or basis patterns in grains Linked to conception and gestation in livestock Seasonal Patterns
Seasonal Pricing Patterns Source: USDA, NASS, Monthly Price Data 1980-2011
Seasonal Pricing Patterns Source: USDA, NASS, Monthly Price Data 1980-2011
Corn Pricing Patterns Source: USDA, NASS, Monthly Price Data 1980-2011
Soybean Pricing Patterns Source: USDA, NASS, Monthly Price Data 1980-2011
Cattle Pricing Patterns Source: USDA, NASS, Monthly Price Data 1980-2011
Hog Pricing Patterns Source: USDA, NASS, Monthly Price Data 1980-2011
Charting Channel lines
Sell Signal A sell signal is one close below the charting lines Sell signal
Buy Signal Some chartists need only one close above the charting line to create a buy signal, others use two closes above. Buy signal
Resistance and Support Resistance level: A price level where the market seems to hit and bounce down Support level: A price level where the market seems to hit and bounce up
Key Reversal A key reversal is when the daily high and low price range exceed the price range for the previous two days.
Gaps Gaps often occur when a major new piece of information hits the market. They are often filled in by later price movements.
Double Tops & Bottoms Double tops and bottoms show prices with major technical resistance. These can be several days apart.
Head & Shoulders Source: Figure 7, Charting Commodity Futures Ag Decision Maker, File A2-20
Moving Averages 9 day average 18 day average 40 day average Sell signal Buy signals
Relative Strength Index • Looks at last X days worth of closing prices • X = 9, 14, 30, etc. • Summarizes upward and downward price movements during the period • Record the last 14 days worth of price changes, based on closing prices • Sum the positive and negative price changes and create average for each • Relative Strength Index = (Up average/(Up average + Down average))*100
Relative Strength Index RSI’s above 70 (80) are considered signals of a market due to decline RSI’s below 30 (20) are considered signals of a market due to rally
Does Technical Analysis Work? Arguments for it: • Real world markets are not perfectly rational • Markets may be slow to respond to new information • Technical analysis works with the psychological biases • It works because so many people use it • Self-fulfilling Arguments against: • Efficient market hypothesis • The current price holds all of the relevant information
Class web site: http://www.econ.iastate.edu/~chart/Classes/econ337/Spring2012/ Have a great weekend!