The QuantCycles Oscillator is showing bullish signs in corn and soybeans, reports John Rawlins.

With massive disruptions in stocks, bonds, crude oil and the global forex market, it is easy to take our eye off of opportunities in more mundane sectors the grains.

But, and we excuse you for forgetting, we are entering the planting season, which is often the most volatile for the grain sector.

It is also important to point out that with increased criticism on the Trump Administration for its handling of the Coronavirus pandemic, it is seeking to scapegoat the Chinese and has talked about increased tariffs. That will, of course, create a response and the most vulnerable will once again be American farmers. If we increase tariff, China will likely cut back on grain purchases, so it is a good time to look at what the QuantCycles are showing.

Both soybeans and corn have been in a steady decline. While it hasn’t been so dramatic as to push corn and beans into oversold territory, both the short-term and long-term oscillator for corn and beans are indicating a rally.

Corn

The weekly QuantCycles oscillator in corn is somewhat oversold and is anticipating a sharp rally.

corn w

The daily oscillator confirms this outlook.

corn d

Soybeans

Like with corn, the weekly soybean oscillator provides a more picture. The QuantCycles is predicting a huge long-term rally in soybeans.

soybeans w

While, once again, not as dramatic, the daily oscillator confirms the long-term outlook.

soybeans d

John Rawlins described the value of the QuantCycles Oscillator recently at The Orlando MoneyShow.

The QuantCycles indicator is a technical tool that employs proprietary statistical techniques and complex algorithms to filter multiple cycles from historical data, combines them to obtain cyclical information from price data and then gives a graphical representation of their predictive behavior (center line forecast). Other proprietary frequency techniques are then employed to obtain the cycles embedded in the prices. The upper and lower bands of the oscillator represent a two-standard deviation move from the predictive price band and are indicative of extreme overbought/oversold conditions.