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Peter Boockvar and Yra Harris on Central Bank Policies, Equities and Commodities Peter Boockvar: Chief Investment Officer at Bleakley Advisory Group and Editor of The Boock Report Yra Harris: With over 42 years of experience in all areas of commodity trading, with broad expertise in cash currency markets, Yra is actively trading as a macro-global trend trader. He is a regular guest analyst on Currency & Global Interest Markets on Bloomberg and CNBC. Presented by Financial Repression Authority. ‌‍‍‍‍ CQG Integrated Client Get a 2-week free trial

Judd Hirschberg Analyzes the Financial Markets Yra Harris: With over 42 years of experience in all areas of commodity trading, with broad expertise in cash currency markets, Yra is actively trading as a macro-global trend trader. He is a regular guest analyst on Currency & Global Interest Markets on Bloomberg and CNBC. Presented by Financial Repression Authority. ‌‍‍‍‍ CQG Integrated Client Get a 2-week free trial

The London Metal Exchange (LME) was founded in 1877. The LME is the world center for the trading of industrial metals. The majority of all non-ferrous metal futures business is transacted on the LME platforms. The LME is popular for its close ties to industry. The aspect of physical delivery via the world-wide network of LME-approved warehouses makes it the perfect venue for hedging by the industry and providing reference prices for business transactions. This post is to help navigate the numerous available outright and spread contracts in CQG. At the end of the post is a downloadable PAC for

Each Wednesday this article will be updated with the current seasonal study using CQG's Seasonal analysis applied to the Soybean, Wheat and Corn markets. You can download the CQG pac providing the studies and charts here. In addition, the seasonal data lines can be pulled into Excel using RTD formulas. Below each chart are two tables. The first table is the highest correlation of the current market data to the seasonal year using a 20-day, 50-day, 100-day and the 200-day lookback periods. The second table is the previous week's data. Seasonal analysis is about price direction or the trend.

In 1990, the New York Mercantile Exchange, a leading energy futures market, introduced futures contracts on U.S. natural gas for delivery at the Henry Hub in Erath, Louisiana. The price opened at $1.61 per MMBtu, with each contract representing 10,000 MMBtu of the energy commodity. For years, the U.S. pipeline network limited the domestic natural gas flow. Massive discoveries in the Marcellus and Utica Shale regions increased supplies, and technological advances to extract the gas from the earth’s crust reduced production costs. While significant supply increases and falling output costs

Each Wednesday this article will be updated with the current seasonal study using CQG’s Seasonal analysis applied to the Soybean, Wheat and Corn markets. You can download the CQG pac providing the studies and charts here. In addition, the seasonal data lines can be pulled into Excel using RTD formulas. Below each chart are two tables. The first table is the highest correlation of the current market data to the seasonal year using a 20-day, 50-day, 100-day and the 200-day lookback periods. The second table is the previous week’s data. Seasonal analysis is about price direction or the trend.

Each Wednesday this article will be updated with the current seasonal study using CQG’s Seasonal analysis applied to the Soybean, Wheat and Corn markets. You can download the CQG pac providing the studies and charts here. In addition, the seasonal data lines can be pulled into Excel using RTD formulas. Below each chart are two tables. The first table is the highest correlation of the current market data to the seasonal year using a 20-day, 50-day, 100-day and the 200-day lookback periods. The second table is the previous week’s data. Seasonal analysis is about price direction or the trend.

On December 13, 2022 the November Consumer Price Index was released and the reported readings were lower than expected as detailed here in the CQG IC Calendar of Events. The equity markets reaction (as shown here by the one-minute bar chart of the March 2023 E-mini Nasdaq 100 futures contract) was a dramatic rally. However, note that the 7:31 minute bar is blank on the chart. What happened? One of the CME’s Market Integrity Controls kicked in: Velocity Logic. According to the CME web site: “Velocity Logic is designed to detect market movement of a predefined number of ticks either up or

Going all the way back until the famous turtle trading systems, ATR has always been an important measurement for volatility in the markets. ATR’s are still used for exits in trading systems and sometimes for pre trade risk assessment. I have created two more indicators around ATR that are discussed in this article. ATR Bands Just like the Bollinger Bands I am using a simple 21 period moving average to smooth out the market movements. Instead of Standard Deviation, I am adding and subtracting one and two times the value of a 10 period ATR. The length of the MA, the period for the ATR as well

Each Wednesday this article will be updated with the current seasonal study using CQG’s Seasonal analysis applied to the Soybean, Wheat and Corn markets. You can download the CQG pac providing the studies and charts here. In addition, the seasonal data lines can be pulled into Excel using RTD formulas. Below each chart are two tables. The first table is the highest correlation of the current market data to the seasonal year using a 20-day, 50-day, 100-day and the 200-day lookback periods. The second table is the previous week’s data. Seasonal analysis is about price direction or the trend.

The Spread Bar chart displays spread bar values based on a user set parameter for snap shots at certain intervals. This is a superior method to simply potting the spread. For example, the crack spread 42*HOE-CLE when entered as a symbol on a bar chart is converted into a line chart. Also, if you were to simply use the two contacts high and low for the session there could be a problem if the two markets hit their respective highs and lows at different times during the session. The snap shop feature insures a more accurate view of the price action of the spread. By converting the chart type to

Each Wednesday this article will be updated with the current seasonal study using CQG’s Seasonal analysis applied to the Soybean, Wheat and Corn markets. You can download the CQG pac providing the studies and charts here. In addition, the seasonal data lines can be pulled into Excel using RTD formulas. Below each chart are two tables. The first table is the highest correlation of the current market data to the seasonal year using a 20-day, 50-day, 100-day and the 200-day lookback periods. The second table is the previous week’s data. Seasonal analysis is about price direction or the trend.

The raw material markets moved higher in Q4 and were higher than at the end of 2021 on December 30, 2022. The commodity asset class consisting of 29 primary commodities traded on U.S. and U.K. exchanges moved 4.66% higher in Q4 2022 and was 3.83% higher for the year. The asset class moved 26.79% higher in 2021. In 2020, the asset class moved 9.89% higher. Rising interest rates and a strong U.S. dollar weighed on commodity prices, but 2022 was no ordinary year. The overall winner of the 29 for the third quarter was the nickel LME forward market, which posted a gain of 42.36% and was 44.76%

The raw material markets moved higher in Q4 and were higher than at the end of 2021 on December 30, 2022. The commodity asset class consisting of 29 primary commodities traded on U.S. and U.K. exchanges moved 4.66% higher in Q4 2022 and was 3.83% higher for the year. The asset class moved 26.79% higher in 2021. In 2020, the asset class moved 9.89% higher. Rising interest rates and a strong U.S. dollar weighed on commodity prices, but 2022 was no ordinary year. The overall winner of the 29 for the third quarter was the nickel LME forward market, which posted a gain of 42.36% and was 44.76%

Each Wednesday this article will be updated with the current seasonal study using CQG’s Seasonal analysis applied to the Soybean, Wheat and Corn markets. You can download the CQG pac providing the studies and charts here. In addition, the seasonal data lines can be pulled into Excel using RTD formulas. Below each chart are two tables. The first table is the highest correlation of the current market data to the seasonal year using a 20-day, 50-day, 100-day and the 200-day lookback periods. The second table is the previous week’s data. Seasonal analysis is about price direction or the trend.

Microsoft® Excel has a Text function which is useful for combining text with market data. For example, you may want to have your Excel dashboard display in the same cell the percent net change value of a market with the word “Higher” or “Lower”. You cannot in a cell use the RTD formula for percent net change combined with the text. The solution is to use Excel’s Text function and concatenate. The Text concatenation operator in Excel is the ampersand symbol (&). You can use it to join two or more text strings in a single string. First, a look at the Text function, which is “=TEXT(Value,

Charting New options profile study Ability to show/hide study values on the price scale Ability to show/hide study list Added Volatility Stop study to CQG Mobile for Android HMS/OTC Ability to set HMS basis in destination currency Ability to set a premium percentage on an HMS product Orders widgets now show service group and product after bid expires Added ability to bid on one month and hedge against a different month When rolling a working HMS order, added ability to pick next expiration date when there are no published bids with next delivery CQG One Added live chat with customer

Each Wednesday this article will be updated with the current seasonal study using CQG’s Seasonal analysis applied to the Soybean, Wheat and Corn markets. You can download the CQG pac providing the studies and charts here. In addition, the seasonal data lines can be pulled into Excel using RTD formulas. Below each chart are two tables. The first table is the highest correlation of the current market data to the seasonal year using a 20-day, 50-day, 100-day and the 200-day lookback periods. The second table is the previous week’s data. Seasonal analysis is about price direction or the trend.

The CME (and other exchanges) provide data regarding who the aggressor was (buyer or seller) when a trade is executed. An "Aggressor" or "Aggressing Order" by definition is an incoming order matching with one or more orders resting on the order book. The Aggressor pulls liquidity out of the order book by triggering a match event removing resting quantity and potentially effecting the price level from the order book. The Aggressor is identified in each order match during the continuous trading period. Please visit the CME Website for more details about Trade Summary Order Level Detail. The

Each Wednesday this article will be updated with the current seasonal study using CQG’s Seasonal analysis applied to the Soybean, Wheat and Corn markets. You can download the CQG pac providing the studies and charts here. In addition, the seasonal data lines can be pulled into Excel using RTD formulas. Below each chart are two tables. The first table is the highest correlation of the current market data to the seasonal year using a 20-day, 50-day, 100-day and the 200-day lookback periods. The second table is the previous week’s data. Seasonal analysis is about price direction or the trend.