Energy Educational

1) General Information on Future and Futures Options

1.1) Futures  Educational Videos (60)
1.2) Futures Options Educational Videos (34)

3) Energy Futures & Options Videos

2.01)   Fundamentals and Energy Futures
2.02)   Discover WTI: A Global Benchmark
2.03)  
Understanding Crude Oil in the United States

2.04)   Introduction to European Crude Oil
2.05)  
Learn about Crude Oil Across Asia Region
2.06)   Crude Oil Futures versus ETFs
2.07   The Benefits of Liquidity
2.08)  
Understanding the Oil Data Report
2.09)   A Look into the Refining Process
2.10)
Learn about the 1:1 Crack Spread

2.11) The Importance of Cushing, Oklahoma
2.12)
U.S. Resurgence in Global Crude Oil Production
2.13) Managing Risk in the Energy Market
2.14)
Trading Insight for Options on Crude Oil and Natural Gas
2.15) Revisiting the WTI-Brent Crude Oil Spread
2.16) Introduction to Natural Gas
2.17) Understanding Supply and Demand: Natural Gas
2.18) Introduction to Natural Gas Seasonality
2.19) Understanding Natural Gas Risk Management Spreads
2.20) Understanding the Henry Hub
2.21) Natural Gas Calendar Spread Options
2.22) About Heating Oil Futures

4) Energy Futures & Options Reports

3.01)   Worldwide Oil – WTI / Brent Spread
3.02)   Refining 101 – Understanding Crack Spreads
3.03)   Natural Gas in a Producing Revolution
3.04)   Crude Oil and Its Refined Products
3.05)   Oil: How the Market Dynamics Have Changed
3.06)   Trading the Curve in Energies
3.07)   U.S. the Largest Crude Oil Producer

3.08)   Surging U.S. Domestic Crude Grades Market
3.09)   Are Crude Oil & Natural Gas Prices Linked?
3.10) WTI and the Changing Dynamics of Global Crude
3.11) Oil Traders Sell on the Rumor and Buy on the News
3.12) Veg Oil vs. Crude Oil: Tail Wagging the Dog?
3.13) Is Crude Oil Taking Cue from Vegetable Oils?

If you have any questions, contact me.

Peter Knight
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Worldwide Oil – WTI / Brent Spread

Energy Educational Homepage

Discovering Trading Opportunities with Two Benchmarks

The single most widely traded spread in the global oil complex is the WTI/Brent spread and the change in the relationships between these two global marker crude oils has implications to both crude oil and refined products on a global basis. It is also the most important spread in setting all of the various pricing interrelationships among the many different crude oil grades as well as for refined products inside and outside the US. Brent (North Sea crude oil) and WTI (US indigenous crude oil) are the industry’s two main benchmark crude oils which the majority all of the crude oils around the world are priced against.

This spread is not only traded heavily by the speculative community, it is also traded by the oil industry asset trading sector or those that actually are responsible for all of the physical crude oil acquisitions around the world. It is also a spread that can be traded on NYMEX as part of the regulated futures arena, as well as the cleared over the counter system on CME Direct. Volumetric activity for the spread is continuing to grow, as is liquidity with relatively narrow bid/offer ranges.

Although the spread does respond well to various technical analysis techniques, this is a very fundamentally driven spread with the same fundamentals driving the direction of the spread for many years. The main fundamental drivers of the spread are:

US crude oil production levels

Crude oil supply and demand balance in the US – i.e. crude oil inventory position in Cushing, PADD 2(mid-west) and PADD 3 (Gulf region)

North Sea crude oil operations

Geopolitical issues in the International crude oil market

There are other minor fundamental drivers but the aforementioned list of drivers is the focus of this paper. Understanding the aforementioned spread directional drivers may provide decent signals when trading this spread.

There has been a major transition that has taken place in the US and Canadian crude oil markets that has had a major impact on the direction of the spread since about 2008. The US crude oil revolution has resulted in a significant increase in US domestic crude oil production as a result of the successful technologies applied to the main shale oil regions of the US – i.e. Bakken, Permian, Eagle Ford, Niobrara, Haynesville and Marcellus. The drilling and production success in these regions coupled with a significant increase in the availability of Canadian crude oil for the US has significantly changed the dynamics of the US oil industry.

The US logistics system was designed and built as a south to north pipeline system. This system was designed around the large crude oil reserves and production level in the Gulf region (in particular Texas) of the US as well as the large volume of imported crude oil that entered to the US to supplement US indigenous production for the main refinery centers in the Gulf and PADD 2 region (mid-west). The west coast has mostly consumed California and Alaskan crude oil and supplemented by imports while the east coast refining system has been dependent on offshore imports.

With a significant increase in US domestic crude oil production and a surge in Canadian imports the south to north logistics system created a huge bottleneck in the Cushing area (also the delivery location for the NYMEX WTI contract). Cushing stocks built strongly as the intake capacity to Cushing far exceed the takeaway pipeline capacity. This resulted in a huge overhang of crude oil and thus had a very depressing impact on the price of WTI, especially relative to Brent.

Over the last two years the mid-stream industry has done a fantastic job in increasing the crude oil takeaway capacity out of Cushing by building new pipelines and reversing several south-to-north pipelines that were no longer needed. In addition rails deliveries of crude oil from Canada and North Dakota have also played a large role in adjusting the logistics system to accommodate the oil shale revolution taking place.

Cushing stocks are now back down to the level they were at prior to the onset of the surge in crude oil supplies from the US and Canada. In fact Cushing is now a transition area feeding both the PADD 2 and PADD 3 regions. Crude oil coming into Cushing supplies a combination of PADD 2 refineries that are connected to Cushing via pipeline as well as sending crude oil down to the Gulf Coast refineries. There should not be a large build up in crude oil in the Cushing region unless the market moves into a strong contango and economics justify building crude oil facilities. Inventory levels in Cushing will find a normal operating level needed by the PADD 2 refiners.

In regard to the main drivers, US crude oil production and imports from Canada are projected to continue and grow well into the future. This trend will support the main changes that have taken place in the logistics system and most importantly in the crude oil acquisition pattern for the US refining system which brings me to the main directional driver… Cushing crude oil stocks.

The following chart shows the relatively strong correlation between inventory levels in Cushing and the WTI/Brent spread. This is a weekly chart to coincide with the weekly release of EIA Cushing inventory data.

Source: Charts provided by DTN

In spite of the major transition that has taken place in the slate of crude oil for the US refining system as well as the in the logistics system the correlation between the direction of Cushing inventories and the spread remain solidly in place.

Over the last several years as the logistics have changed the relationship between PADD 3 (Gulf region) crude oil stocks are also starting to be a reasonably correlated directional driver of the WTI/Brent spread as shown in the following chart.

Source: Charts provided by DTN

With Cushing crude oil stocks now back to the pre-surplus normal operating range level and with Cushing acting more as a transition areas between PADD 2 and PADD 3 the relationship of PADD 3 inventories are also now driving the spread.

On the other end of the spread (Brent side) the two main general areas that have an impact on the spread is production levels of crude oil from the North Sea. From time to time severe weather impacts the flow of crude oil out of the North Sea. During periods of time when flow is impeded it has a tendency of strengthening the Brent side of the spread irrespective of what is going on in the US. In addition when there are geopolitical interruptions in the flow of crude oil from various locations (i.e. Libya, Nigeria, Middle East, etc.) it has a stronger impact (generally upside) on the Brent side of the spread and has a tendency to offset any bearish spread signals coming from the US side of the spread.

There are three sources of inventory data that are released at different times of the week. Genscape reports Cushing crude oil stocks at 9 AM on Monday. This is a subscription service. The subscribers of this report certainly set their positions in the WTI/Brent spread if a signal presents itself. The API issues its Cushing inventory data late on Tuesday afternoons – also for a subscription fee. However, this data tends to be broadcast via several news services and on Twitter. Finally the most comprehensive and free inventory data is released mid-morning on Wednesday by the EIA. All of these data sources are in close agreement for Cushing crude oil inventories. Finally the inventory data points are always as of the previous Friday.

The above are the main price drivers of the spread.

This spread has a high level of liquidity to allow for relatively easy entry and exit as well as a high level of volatility. Furthermore as you can see from the charts presented in the paper the spread tends to trend for extended periods of time allowing for many entry and exit points during the course of a trend.

Ff you have any questions send a message or contact me

Regards,
Peter Knight Advisor

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What is an Index Future?

Stock Index Education Home Page

Overview

Equity Index futures are “futures contracts” on equity indices. They are cash settled contracts and the majority have quarterly expiration dates scheduled for the months of March, June, September, and December.

Equity Index futures provide market participants with tools to efficiently hedge or express an opinion on an equity index market, practically 24 hours a day, 6 days a week.

Benchmarks: The Backbone of Equity Index Futures

CME Group focuses on many of the widely followed and globally recognized equity index benchmarks. CME Group Equity Index products include both equity index futures and options on equity index futures. Currently, this represents 59 equity index futures and 29 equity index options. CME Group Equity Index products include a number of well-known indices.

Some of these are available in a variety of different sizes to accommodate different trading needs. For example, we offer  E-mini S&P 500® futures contracts, which are one-fifth the size of standard S&P 500®futures.

Spanning the globe, our Equity Index suite includes US dollar-based products such as the S&P 500®, the Nasdaq 100, and the Dow Jones Industrial Average as well as products covering other key markets, such as the FTSE Russell 100, a UK-based index; the Nikkei 225, a Japanese-based index; and the FTSE China 50, a China-based index.

As the world’s largest derivatives exchange, CME Group offers equity traders a deep and liquid marketplace to speculate or hedge their portfolio. What does all this mean? In short, CME Group offers a variety of Equity Index products suitable for many types of end users.

 

 

What are Bollinger Bands & How To Set Them

1) To set a Bollinger Band open this chart pageX
 X
2) Choose Add Technical Study
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x
3) Choose Bollinger Band
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4)
To set your Bands, click on the default parameter
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5) The menu will open set your period and width
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6) About Bollinger Bands

Bollinger Bands are a technical trading tool created by John Bollinger in the early 1980s. They arose from the need for adaptive trading bands and the observation that volatility was dynamic, not static as was widely believed at the time.

​Bollinger Bands can be applied in all the financial markets including equities, forex, commodities, and futures. Bollinger Bands can be used in most time frames, from very short-term periods, to hourly, daily, weekly or monthly.

Bollinger Bands answer a question: Are prices high or low on a relative basis? By definition price is high at the upper band and price is low at the lower band. That bit of information is incredibly valuable. It is even more powerful if combined with other tools such as other indicators for confirmation. Learn  how to use this powerful tool in the Bollinger Band Knowledge section

John Bollinger  “What are Bollinger Bands?”

Bollinger Bands are a technical analysis tool, specifically they are a type of trading band or envelope. Trading bands and envelopes serve the same purpose, they provide relative definitions of high and low that can be used to create rigorous trading approaches, in pattern recognition, and for much more. Bands are usually thought of as employing a measure of central tendency as a base such as a moving average, whereas envelopes encompass the price structure without a clearly defined central focus, perhaps by reference to highs and lows, or via cyclic analysis. We’ll use the term trading bands to refer to any set of curves that market technicians use to define high or low on a relative basis.

The earliest example of trading bands that I have been able to uncover comes from Wilfrid Ledoux in 1960. He used curves connecting the monthly highs and lows of the Dow Jones Industrial Average as a long-term market-timing tool. After Ledoux the exact sequence of trading band development gets foggy. In 1960 Chester Keltner proposed a trading system, The 10-Day Moving Average Rule, which later became Keltner bands in the hands of market technicians whose names we do not know. Next comes the work of J. M. Hurst who used cycles to draw envelopes around the price structure. Hurst’s work was so elegant that it became a sort of grail with many trying to replicate it, but few succeeding. In the early ’70s percentage bands became very popular, though we have no idea who created them. They were simply a moving average shifted up and down by a user-specified percent. Percentage bands had the decided advantage of being easy to deploy by hand. At any given time a 7% band consists of a base moving average, an upper curve at 107% of the base and a lower curve at 93% of the base. (Arthur Merrill suggested multiply and dividing by one plus the desired percentage.) When I started using trading bands percentage bands were the most popular bands by far. Along the way we got another fine example of envelopes, Donchian bands, which consist of the highest high and lowest low of the immediately prior n-days. Those are the main types of band/envelopes that I know of. Over the years there have been many variations on those ideas, some of which are still in use. Today the most popular approaches to trading bands are Donchian, Keltner, Percentage and, of course, Bollinger Bands.

Percentage bands are fixed, they do not adapt to changing market conditions; Donchian bands use recent highs and lows and Keltner bands use Average True Range as adaptive mechanisms. Bollinger Bands use standard deviation to adapt to changing market conditions and thereby hangs a tale. When I became active in the markets on a full time basis in 1980 I was mainly interested in options and technical analysis. Information on both was hard to obtain in those days but I persisted; with the help of an early microcomputer I was able to make some progress. At the time we used percentage bands and compared price action within the bands to the action of supply/demand tools like David Bostian’s Intraday Intensity. A touch of the upper band by price that was not confirmed by strength in the oscillator was a sell setup and a similarly unconfirmed tag of the lower band was a buy setup. The problem with that approach was that percentage bands needed to be adjusted over time to keep them germane to the price structure and the adjustment process let emotions into the analytical process. If you were bullish, you had a natural tendency to draw the bands so they presented a bullish picture, if you were bearish the natural result was a picture with a bearish bias. This was clearly a problem. We tried reset rules like lookbacks with some success, but what we really needed was an adaptive mechanism. I was trading options at the time and had built some volatility models in an early spreadsheet program called SuperCalc. One day I copied a volatility formula down a column of data and noticed that volatility was changing over time. Seeing that, I wondered if volatility couldn’t be used to set the width of trading bands. That idea may seem obvious now, but at the time it was a leap of faith. At that time volatility was thought to be a static quantity, a property of a security, and that if it changed at all, it did so only in a very long-term sense, over the life of a company for example. Today we know the volatility is a dynamic quantity, indeed very dynamic.

After some experimentation I settled on the formulation we know today, an n period moving average with bands drawn above and below at intervals determined by a multiple of standard deviation (We use the population calculation for standard deviation). The defaults today are the same as they were 35 years ago, 20 periods for the moving average with the bands set at plus and minus two standard deviations of the same data used for the average. But they weren’t “Bollinger Bands” yet, that would come later when Bill Griffeth, an on-air host for the Financial News Network, asked me what I called my bands on air. I had presented a chart showing an unconfirmed tag of my upper band and explained that the first down day would generate a sell signal. Bill then asked me what I called those lines around the price structure, a question that I was totally unprepared for, so I blurted out the alliteratively obvious choice: “Bollinger Bands.”

So what are Bollinger Bands? They are curves drawn in and around the price structure usually consisting of a moving average (the middle band), an upper band, and a lower band that answer the question as to whether prices are high or low on a relative basis. Bollinger Bands work best when the middle band is chosen to reflect the intermediate-term trend, so that trend information is combined with relative price level data.

Soon the Bollinger Bands had company, I created %b, an indicator that depicted where price was in relation to the bands, and then I added BandWidth to depict how wide the bands were as a function of the middle band. For many years that was the state of the art: Bollinger Bands, %b and BandWidth. Here are a couple of practical examples of the usage of Bollinger Bands and the classic Bollinger Band tools along with a volume indicator, Intraday Intensity:

Bollinger Band Website

If you have questions send us a message or schedule an online review .

Regards,
Peter Knight Advisor

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Definition of a Futures Contract

Futures Education Homepage

What is a Futures Contract?

Forward and futures contracts are financial instruments that allow market participants to offset or assume the risk of a price change of an asset over time.

A futures contract is distinct from a forward contract in two important ways: first, a futures contract is a legally binding agreement to buy or sell a standardized asset on a specific date or during a specific month. Second, this transaction is facilitated through a futures exchange.

The fact that futures contracts are standardized and exchange-traded makes these instruments indispensable to commodity producers, consumers, traders and investors.

A Standardized Contract

An exchange-traded futures contract specifies the quality, quantity, physical delivery time and location for the given product. This product can be an agricultural commodity, such as 5,000 bushels of corn to be delivered in the month of March, or it can be financial asset, such as the U.S. dollar value of 62,500 pounds in the month of December.

The specifications of the contract are identical for all participants. This characteristic of futures contracts allows buyer or seller to easily transfer contract ownership to another party by way of a trade. Given the standardization of the contract specifications, the only contract variable is price. Price is discovered by bidding and offering, also known as quoting, until a match, or trade, occurs.

Futures contracts are products created by regulated exchanges. Therefore, the exchange is responsible for standardizing the specifications of each contract.

Exchange-Traded

The exchange also guarantees that the contract will be honored, eliminating counterparty risk. Every exchange-traded futures contract is centrally cleared. This means that when a futures contract is bought or sold, the exchange becomes the buyer to every seller and the seller to every buyer. This greatly reduces the credit risk associated with the default of a single buyer or seller.

The exchange thereby eliminates counterparty risk and, unlike a forward contract market, provides anonymity to futures market participants.

By bringing confident buyers and sellers together on the same trading platform, the exchange enables participants to enter and exit the market with ease, makings futures markets highly liquid and optimal for price discovery.

If you have questions send a message or  schedule an online review.

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Support and Resistance

Futures Education Homepage

Support and Resistance are common terms that traders use to describe levels where price is more likely to stop moving in one direction or change direction.

Support refers to levels where price might reverse and move higher or a level that slows the momentum of price moving down. Resistance refers to levels where price might reverse and move lower or a level that slows the momentum of price moving up. Support or resistance is determined by whether price is above or below the level identified by the trader.

Generally, a trader can think of support being levels below price whereas resistance is formed above price. Levels of support and resistance can be formed in a few different ways. Moving averages, previous highs and lows, key price levels, and trend lines are the main indicators that traders use to find levels of support and resistance.

Moving Averages 

Traders will use moving averages of various lengths to indicate levels of support and resistance. Moving averages below price will form levels of support and moving averages above price will create levels of resistance.

Traders can add more than one length moving average to visualize initial and deeper levels of support and resistance. For example, a trader might add the 21, 100 and 200 period exponentially moving averages to their charts.

Typically, the shorter the length of the moving average, the weaker the support or resistance it creates. This means, for example, price will move through a 9-period moving average on a 5min chart more often than a 100-period moving average. The 100-period moving average is considered to provide stronger support for price when compared to the 9-period moving average. Traders can use any moving average that they like, some common lengths are the 9, 21, 50, 100 and 200 period moving averages.

Traders might use the 100-period moving average on a daily chart to indicate stronger and longer term levels of support and resistance. Price may only move this far every few months.

As price moves to areas that a trader believes is support or resistance, moving averages will be used to pinpoint areas that price could move through or bounce of off. For example, if price is moving up then retraces to the 55-period moving average, then starts to move back up, there is a good chance that the level will hold as support, and price will start to move in the direction of the original trend again.

If price moves to the moving average and does not bounce, there is a good chance that it will move to lower levels of support. If price is already at lower levels of support such as the 200-period moving average, then it could be an indication of a longer-term change in trend. It could indicate that price is moving from an uptrend to a down trend and vice versa.

Previous Highs and Lows

Technical analysts believe that price has a memory and that trends will repeat. There are certain price levels where traders will act a certain way. For example, traders might decide that Crude Oil is a strong buy at $50 after a retracement from higher levels, or that the S&P 500 is a strong buy at 2000. This is what creates tops and bottoms in the market.

If there is enough interest a key level, when the market gets back to that level traders seem to behave in a similar fashion over time. Because of this market tendency, technical analysts may look at where a market made previous highs and lows and use these levels as support and resistance. Markets will tend to pause at previous highs and lows. For example, if a market is moving up it will tend to encounter resistance at a previous high. If a market is moving down it will generally find support at previous lows.

If price breaks through support, then it will generally continue in that direction.

When price breaks through support or resistance, these levels will reverse, support will become resistance and resistance will become support. For example, if price breaks through support then that level of support will become resistance when price moves back up. The same will occur if price moves through resistance, the previous level of resistance will tend to become support when price moves back down.

Price Levels

Support and resistance can also be observed at certain price levels. For example, specific prices will create levels where price will find support or resistance because this is where there is potentially increased interest in trading that particular market. For example, the daily chart of CL shows how over a few years the $100 level in crude could not be successfully broken by more than a few dollars, and each time it attempted to break out, price retraced.

Trend Lines

Trend lines act like moving averages, except they are based on the highs and lows that price makes. In this example, this daily chart of the ES shows how a trend line can act as support.

In a market that is moving up, a trend line would be drawn through a series of lows in price. This creates an upward sloping line. The theory is this line can be extended past current price and will support price as it moves back down towards the trend line.

A trader can also draw a line through the series of highs that the same market has made creating a channel, where price will in theory stay contained.

The same lines can be drawn for markets that are in a down trend.

Levels of support and resistance offer traders insights in to areas where price might stop trending and retrace or where retracements might stop, and price will begin to move in the direction of the original trend. Traders should be aware that support and resistance will not always hold to the penny, rather they are zones that can be identified in a market which might be favorable for traders to enter or exit a trade. Support and resistance levels offer another piece of information that can be included in a trader’s assessment of the market.

If you have questions send us a message or schedule an online review.

Regards,
Peter Knight Advisor

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Understanding Moving Averages

Futures Education Homepage

Exponential Moving Average (Red Line)
x

Xx
1) To Set a Exponential Moving Average
open this chart  (or 6-9 to calculate)

xx
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2) Choose Add Technical Study

x
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3) Choose Moving Average Exponential
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4) Click on the default parameter
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5) Set the desired number of days
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6) About Moving Averages

Moving averages are a common way for technical traders to begin the process of price analysis. It is often one of the first indicators that traders will add to their charts and will serve as a measure on its own or in comparison with other indicators.

A moving average is the average price of a futures contract or stock over a set period of time. Traders can add just one moving average or have many different time frames on one chart.

For example, a 14-day moving average of CL WTI futures would be the average closing price of the CL contract over the last 14 days.

7) Calculating Moving Average

There are a number of ways to mathematically calculate the average of a set of numbers. Each method will come up with a slightly different result and place emphasis on a certain section of the data being calculated.

Two common moving average calculations are simple moving averages and exponential moving averages. These moving averages will appear on a chart as a line above or below price. Traders might have multiple moving averages on their charts at one time and use different lines to represent different actions you might take with your trades

8) Simple Moving Average

A simple moving average, the most basic of moving averages, is calculated by summing up the closing prices of the last x days and dividing by the number of days.

For example, if WTI (CL) contract closed at $45.50, $45.25 and $46.10 over the last three days the moving average would be calculated as follows:

Sum of closing prices = 45.50 + 45.25 + 46.10 = 136.85
Simple moving average = sum of closing prices divided by number of days
                    = 136.85 / 3
                                       = $45.62

9) Exponential Moving Averages

Exponential moving averages assign more influence on recent numbers and less on old data because of a weighting variable in the calculation. This makes them more responsive to changes in price and also acts in smoothing out the line.

Exponential moving averages calculate the average of a series of numbers using a weighting multiplier that typically assigns more weight to later data. EMAs can be calculated in three steps.

1. Determine the SMA or use yesterday’s closing price to begin

2. Calculate the multiplier

3. Using price, the multiplier (time period) and the previous EMA value.

Here is the calculation for a 14-day EMA

1. SMA = $46.60, Closing price today is $46.75
2. Multiplier = 2 / (1 + n) = 2 / ( 1 + 14) = 0.133
3. Calculate the EMA = (Price today x Multiplier) + (EMA yesterday x ( 1 – multiplier)
            EMA = (46.75 x 0.133) + (46.60 x 0.867)
            EMA = $46.63

Note the first day of the EMA calculation can either start with yesterday’s closing price or the SMA from yesterday. You just need to pick a starting value for the EMA calculation.

As with simple moving averages, no calculation is needed on your part, the moving average indicator will calculate this for you and show the results as a line on your chart.

While there are other more complicated moving average calculations beyond EMA and SMA, these two are the most common. Other moving averages are basically an EMA that assigns different weighting and smoothing variables to the calculations.

10) Using Moving Averages

Moving averages are often used to compare where the current price of the underlying instrument is in relation to support and resistance on a chart. When price moves down to a moving average line or up to a moving average line, traders can use this as a signal that price might stop or retrace at that point.

For example, if price moved down to the 200EMA a trader might think that price might stop moving down from there as the 200 EMA will act as support for price to move back up.

Traders can also visualize short-term and long-term support and resistance on a chart by adding moving average lines of different time periods.

For example, a trader could use the 13EMA as a short-term indicator and the 200 EMA as a longer-term indicator on the same chart. The larger the EMA, the stronger the support and resistance and the more likely the price will change direction as it moves towards that EMA.

Of particular interest for traders can be when moving averages cross over, as these crossovers usually represent a shift in price. Crossovers, which occur when one moving average line crosses another moving average line, is used to signal bullish and bearish signals.

Short-term moving averages crossing above longer-term moving averages is generally seen as bullish and long-term moving averages crossing below shot-term moving averages is generally seen as bearish.

For example, if a trader sees that the 50 EMA is crossing above the 200 EMA this is generally a sign that price might continue to move up. A trader using moving averages as a signal to enter trades might purchase contracts, or add to a position because of this crossover signal.

Moving averages are simple yet powerful tools that traders can use to help visualize where price has been and where price might be moving next.

If you have questions send us a message or schedule an online review.

Regards,
Peter Knight Advisor

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Fundamentals and Energy Futures

Energy Educational Homepage

Energy products are varied and have many end uses. Crude oil, for example, can be used to make gasoline or as a raw material in the manufacturing of plastics. Natural gas can be used for heating applications as well as a feedstock for plastics, chemicals and other applications.

Since energy products can be refined products like gasoline, which is directly consumed, or raw inputs like crude oil, which can be made in to other products, the fundamental trader will need to consider the factors that influence supply and demand for the raw material, as well as supply and demand for any secondary products. Traders who trade crude oil will look at all the sources of demand both foreign and domestic not just the demand for gasoline.

Supply and Demand

Energy products, specifically, are very sensitive to changes in supply and demand. Small changes in either can have a noticeable effect on the price of the energy futures contract. Traders will pay attention to data releases concerning the supply and demand of the energy products they are interested in. For example, a crude oil trader will watch the weekly inventory reports to remain updated on the current build or drawdown details of crude oil and build a case of where they believe the price of crude oil will move next.

Another example is if crude oil inventories increase the price of crude 2% one week and decrease it by the same amount the next week, traders will make sure they are aware of the potential for large moves in the price of the futures contract and trade accordingly to limit their risk.

The main drivers of the price of energy products are user demand, inventory build and drawdown cycles (the supply cycle), and seasonality.

Demand is increased by economic growth along with consumer and industrial demand. If the economy is growing, then energy demands will be higher from both consumers and industry.

Some of the factors that create increased demand when economies are growing are: increased demand from automobiles and trucks, increased power consumption requiring increased energy demands, more heat requirements for homes and buildings and more requirements for energy products that are used as inputs in manufacturing.

Supply, or inventory build, also has many factors that make energy unique when compared to other commodities.

Build and Drawdown

Energy futures go through what is referred to as a build and drawdown cycle. Most energy products are extracted from the ground then transported to storage facilities, where they are stored to be delivered to the ultimate users. This is the build phase.

The drawdown phase is when the product is shipped from the storage facility to the end user. If production is lower than what is needed to satisfy current demand then there will be a drawdown in inventories, and if production is higher than the quantity which is being demanded then inventories will increase.

Traders will be familiar with this data in relation to the crude oil report which comes out every week and tells traders whether there has been a build or drawdown in crude oil reserves.

If energy supplies are higher or demand is lower, then price should decrease. If supplies are lower or demand is higher, then price should increase. Energy products follow the basic rules for supply and demand just like any commodity.

Seasonality

Seasonality also plays a part in the supply and demand for energy products. There are times during the year when, due to weather, demand might be higher or lower than normal. This might be due to increased demand for heating during winter months or increased demand during the summer months where vehicle use is typically higher.

Seasonality effects on energy futures are generally predictable as they occur during the same time each year, but what is not predictable is the actual demand during the season.

For example, natural gas goes through a seasonal build to ensure there is enough supply to meet the typically higher demand for heating during the winter generated by lower temperatures. Like most things in the market, price moves based on a combination of actual data and the assumptions that the market makes for price in the future.

Natural gas suppliers will make projections for demand over the coming winter. They will purchase the quantity of gas they believe will be required. If the winter is warmer or colder than anticipated, then actual demand will be different than forecasted demand. It is this difference that will affect the price of the futures contract. If demand is higher than anticipated by the market then price will go up, if it is lower than price will go down.

Conclusion

Traders who trade energy futures are aware that there are unique factors that will influence the price of the futures contract they are trading and use fundamental analysis to help them analyze the market and make their trading decisions.

If you have questions send us a message or schedule an online review.

Regards,
Peter Knight Advisor

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European Interest Rate Analysis Page

Interest Rate Position Trade Homepage

1) 3 Month Euribor–Today’s Technical Opinion  Symbol (I)

1.1)   1999-2018 chart & historical data 3 Month Rate

1.2)   20 Year Futures chart, monthly data
1.3)   5 Year chart, weekly data
1.4)   1 Year chart, daily data
1.5)   Quotes, All Deliveries
1.6)   Options Quotes
1.7)   Exchange = ICE

1.8)   Contract Specifications  each 0.01 = 25.00 EUR
1.9)   Technicals
1.10) Support & Resistance
1.11) Ranges & Price performance

2) 3 Month Sterling–Today’s Technical Opinion  Symbol (L)

2.1)   1986-2018 chart & historical data UK 3 Month Rate

2.2)   20 Year Futures chart, monthly data
2.3)   5 Year chart, weekly data
2.4)   1 Year chart, daily data
2.5)   Quotes, All Deliveries
2.6)   Options Quotes
2.7)   Exchange = ICE

2.8)   Contract Specifications  each 0.01 = 50.00 GBP
2.9)   Technicals
2.10) Support & Resistance
2.11) Ranges & Price performance

3) Euro Schatz–Today’s Technical Opinion  Symbol (FGBS)

3.1)   20 Year Futures chart, monthly data
3.2)   5 Year chart, weekly data
3.3)   1 Year chart, daily data
3.4)   Quotes, All Deliveries
3.5)   Options Quotes
3
.6)   Exchange = Eurex

3.7)   Duration 1 3/4 to 2 1/4 Years
3.8)   Contract Specifications  each 0.01 = 10.00 EUR
3.9)   Technicals
3.10) Support & Resistance
3.11) Ranges & Price Performance

4) Euro Bobl–Today’s Technical Opinion  Symbol (FGBS)

4.1)   20 Year Futures chart, monthly data
4.2)   5 Year chart, weekly data
4.3)   1 Year chart, daily data
4.4)   Quotes, All Deliveries
4.5)   Options Quotes
4
.6)   Exchange = Eurex

4.7)   Duration 4 1/2 to 5 1/2 Years
4.8)   Contract Specifications  each 0.01 = 10.00 EUR
4.9)  Technicals
4.10 Support & Resistance
4.11) Ranges & Price Performance

5) Euro Bund–Today’s Technical Opinion  Symbol (FGBL)

5.1)   20 Year Futures chart, monthly data
5.2)   5 Year chart, weekly data
5.3)   1 Year chart, daily data
5.4)   Quotes, All Deliveries
5.5)   Options Quotes
5.6)   Exchange = Eurex

5.7)   Duration 8 1/2 to 10 1/2 Years
5.8)   Contract Specifications  each 0.01 = 10.00 EUR
5.9)   Technicals
5.10) Support & Resistance
5.11) Ranges & Price Performance

6) Euro OAT–Today’s Technical Opinion  Symbol (FOAT)

6.1)   Life of Contract Futures chart, monthly data
6.2)   5 Year chart, weekly data
6.3)   1 Year chart, daily data
6.4)   Quotes, All Deliveries
6.5)   Exchange = Eurex
6.6)   Duration 8 1/2 to 11 Years
6.7)   Contract Specifications  each 0.01 = 10.00 EUR
6.8)   Technicals
6.9)   Support & Resistance
6.10) Ranges & Price Performance

7) Euro Buxl–Today’s Technical Opinion  Symbol (FGBS)

7.1)   Life of Contract Futures chart, monthly data
7.2)   5 Year chart, weekly data
7.3)   1 Year chart, daily data
7.4)   Quotes, All Deliveries
7.5)   Exchange = Eurex
7.6)   Duration 24 to 35 Years
7.7)   Contract Specifications  each 0.01 = 50.00 (GBP)
7.8)   Technicals
7.9)   Support & Resistance
7.10) Ranges & Price Performance

8) Australian Government Bills and Bonds (ASX)

If you have questions send us a message or schedule an online review .

Regards,
Peter Knight Advisor

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US Interest Rate Analysis Page

2000 -2018 US Rate Curve         Interest Rate Homepage

1) Eurodollar Interest Rate – Today’s Technical Opinion  Symbol (GE)

1.1)   30 Year chart & historical data 3 Month Rate

1.2)   20 Year Futures chart, monthly data
1.3)   5 Year chart, weekly data
1.4)   1 Year chart, daily data
1.5)   Barchart Quotes, All Deliveries
1.6)   Barchart Options Quotes
1.7)   CME Futures Quotes, All Deliveries
1.8)   CME Option Quotes

1.9)   Contract Specifications  each 0.01 = $25.00
1.10) Exchange Margin Requirement
1.11) Technicals
1.12) Support & Resistance
1.13) Ranges & Price performance
1.14) Eurodollar Interest Rate Futures Video

2) Fed Funds – Today’s Technical Opinion  Symbol (ZQ)

2.1)  60 Year chart & historical data Fed Funds Rate

2.2)   20 Year futures chart, monthly data
2.3)   5 Year chart, weekly data
2.4)   1 Year chart, daily data
2.5)   Barchart Quotes, All Deliveries
2.6)   Barchart Options Quotes
2.7)   CME Futures Quotes, All Deliveries

2.8)   CME Option Quotes
2.9)   Contract Specifications  each 0.01 = $41.67
2.10) Exchange Margin Requirement
2.11) Technicals
2.12) Support & Resistance
2.13) Ranges & Price performance
2.14) Fed Fund Futures Video

3) 2 Year Treasury – Today’s Technical Opinion  Symbol (ZT)

3.1)   40 Year chart & historical data 2 Year Rate

3.2)   20 Year Futures chart, monthly data
3.3)   5 Year chart, weekly data
3.4)   1 Year chart, daily data
3.5)   Barchart Quotes, All Deliveries
3.6)   Barchart Options Quotes
3.7)   CME Futures Quotes, All Deliveries

3.8)   CME Option Quotes
3.9)   Contract Specifications  each 1/32nd = $62.50
3.10) Exchange Margin Requirement
3.11) Technicals
3.12) Support & Resistance
3.13) Ranges & Price performance
3.14) Treasury Futures Video

4) 5 Year Treasury – Today’s Technical Opinion  Symbol (ZF)

4.1)  50 Year chart & historical data 5 Year Rate

4.2)   20 Year futures chart, monthly data
4.3)   5 Year chart, weekly data
4.4)  1 Year chart, daily data
4.5)   Barchart Quotes, All Deliveries
4.6)   Barchart Options Quotes
4.7)   CME Futures Quotes, All Deliveries
4.8)   CME Option Quotes
4.9)   Contract Specifications each 1/32nd = $31.25
4.10) Exchange Margin Requirement
4.11) Technicals
4.12) Support & Resistance
4.13) Ranges & Price performance
4.14) Treasury Futures Video

5) 10 Year Treasury – Today’s Technical Opinion  Symbol (ZN)

5.1) 50 Year chart & historical data 10 Year Rate

5.2)   20 Year futures chart, monthly data
5.3)   5 Year chart, weekly data
5.4)  1 Year chart, daily data
5.5)   Barchart Quotes, All Deliveries
5.6)   Barchart Options Quotes
5.7)   CME Futures Quotes, All Deliveries
5.8)   CME Option Quotes
5.9)   Contract Specifications  each 1/32nd = $31.25
5.10) Exchange Margin Requirement
5.11) Technicals
5.12) Support & Resistance
5.13) Ranges & Price performance
5.14) Treasury Futures Video

6) 30 Year Treasury – Today’s Technical Opinion  Symbol (ZB)

6.1)  40 Year chart & historical data 30 Year Rate

6.2)   20 Year futures chart, monthly data
6.3)   5 Year chart, weekly data
6.4)  1 Year chart, daily data
6.5)   Barchart Quotes, All Deliveries
6.6)   Barchart Options Quotes
6.7)   CME Futures Quotes, All Deliveries

6.8)   CME Option Quotes
6.9)   Contract Specifications  each 1/32nd = $31.25
6.10) Exchange Margin Requirement
6.11) Technicals
6.12) Support & Resistance
6.13) Ranges & price performance
6.14) Treasury Futures Video

7) Spread Charts

7.1) Yield Curve T-Bill, Euro, 2 year, 5 year, 30 Year

7.2) Financial Futures Quotes

7.1) 20 Year chart, Fed Funds versus Eurodollar rates
7.2) 20 Year chart, Fed Funds – Eurodollar futures
7.3) 5 Year chart,   Fed Funds – Eurodollars
7.4) 1 Year chart,   Fed Funds – Eurodollars

7.5) 5 Year chart, long Sep 2018, short Sep 2023 Eurodollars
7.6) 1 Year chart, long Sep 2018, short Sep 2023 Eurodollars

7.7)   20 year char, 5 versus 2 year rates
7.8)   20 year chart, 5 year – 2 year Treasury Futures
7.9)   5 year chart,   5 year – 2 year Treasuries
7.10) 1 year chart   5 year – 2 year Treasuries

7.11) 20 year, Chart 10 versus 2 year rates
7.12) 20 year, chart 10 year – 2 year Treasury Futures
7.13) 5 year, chart   10 year – 2 year Treasuries
7.14) 1 year, chart   10 year – 2 year Treasuries

7.15) 20 year, Chart 10 versus 5 year rates
7.16) 20 year, chart 10 year – 5 year Treasury Futures
7.17) 5 year, chart   10 year – 5 year Treasuries
7.18) 1 year, chart   10 year – 5 year Treasuries

7.19) 20 year, Chart 30 versus 5 year rates
7.20) 20 year, chart 30 year – 5 year Treasury Futures
7.21) 5 year, chart   30 year – 5 year Treasuries
7.22) 1 year, chart   30 year – 5 year Treasuries

7.23) 20 year, Chart 30 versus 10 year rates
7.24) 20 year, chart 30 year – 10 year Treasury Futures
7.25) 5 year, chart   30 year – 10 year Treasuries
7.26) 1 year, chart   30 year – 10 year Treasuries

If you have questions send us a message or schedule an online review .

Regards,
Peter Knight Advisor

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