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$CLKTF BarChart Trader's Cheat Sheet
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Industrial Metals and Bonds
Not all commodities are created equal. In particular, oil is prone to supply shocks. Unrest in oil producing countries or regions usually causes oil prices to surge. A price rise due to a supply shock is negative for stocks, but a price rise due to rising demand can be positive for stocks. This is also true for industrial metals, which are less susceptible to these supply shocks. As a result, chartists can watch industrial metals prices for clues on the economy and the stock market. Rising prices reflect increasing demand and a healthy economy. Falling prices reflect decreasing demand and a weak economy. The chart below shows a clear positive relationship between industrial metals and the S
Daily Candlestick Chart for ACCP
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$MXDHF BarChart Trader's Cheat Sheet
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Daily Candlestick Chart for VDSC
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$ARIS BarChart Trader's Cheat Sheet
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Non-Random Walk Theory
A Non-Random Walk Down Wall Street is a collection of essays offering empirical evidence that valuable information can be extracted from security prices. Lo and MacKinlay used powerful computers and advanced econometric analysis to test the randomness of security prices. Although this book is a heavy read, the findings should be of interest to technical analysts and chartists. In short, this book documents the presence of predictable components in stock prices.
Just prior to this book, Andrew Lo wrote a paper for the Journal of Finance in 2000: Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation. Harry Mamaysky and Jiang Wang also contributed. The paper's opening remarks say it all:
"Technical analysis, also known as charting, has been part of financial practice for many decades, but this discipline has not received the same level of academic scrutiny and acceptance as more traditional approaches such as fundamental analysis. One of the main obstacles is the highly subjective nature of technical analysis. The presence of geometric shapes in historical price charts is often in the eyes of the beholder. In this paper, we propose a systematic and automatic approach to technical pattern recognition using nonparametric kernel regression, and apply this method to a large number of U.S. stocks from 1962 to 1996 to evaluate the effectiveness of technical analysis. By comparing the unconditional empirical distribution of daily stock returns to the conditional distribution conditioned on specific technical indicators, such as head-and-shoulders or double-bottoms, we find that over the 31-year sample period, several technical indicators do provide incremental information and may have some practical value." This paper can be found at www.nber.org
Daily Candlestick Chart for CRTP
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$DGRI BarChart Trader's Cheat Sheet
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Trader's Remorse ~ Weaknesses of Technical Analysis
Not all technical signals and patterns work. When you begin to study technical analysis, you will come across an array of patterns and indicators with rules to match. For instance: A sell signal is given when the neckline of a head and shoulders pattern is broken. Even though this is a rule, it is not steadfast and can be subject to other factors such as volume and momentum. In that same vein, what works for one particular stock may not work for another. A 50-day moving average may work great to identify support and resistance for IBM, but a 70-day moving average may work better for Yahoo. Even though many principles of technical analysis are universal, each security will have its own idiosyncrasies.
Daily Candlestick Chart for FXPT
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$ELTP BarChart Trader's Cheat Sheet
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$SHMX BarChart Trader's Cheat Sheet
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Detrended Price Oscillator: The Detrended Price Oscillator (DPO), as the name indicates, is a technical analysis tool designed to give information about the price of an asset without taking into account existing price trends. The logic behind this is that detrended prices can help traders to understand the buying and selling pressure in a market based on short-term fluctuations in the price of an asset, without taking into account larger upswings or downswings in price.
The Detrended Price Oscillator can be calculated by declaring a period of time that could be said to indicate a trend in price (for example, if prices steadily increase over a twenty-day period, then one could take "20" as the period of time that indicates a trend.) Divide this period by two and add one to arrive at a number n. Then take the moving average of an asset's price n days before the period in question, and subtract this from the asset's closing price for that period. The resulting number is the period's DPO. This calculation method ensures that although short-term price trends are included in a DPO chart, longer-term trends are excluded.
One of the fundamental assumptions of the DPO is that long-term price trends are composed of short-term price trends, and that only by looking at short-term trends can long-term trends be understood. By this rationale, particularly severe peaks and troughs in the DPO indicate probable reversals in the overall trend of the asset price, and traders should take appropriate positions to take advantage of these reversals in either direction.
Daily Candlestick Chart for MTLK
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$QASP BarChart Trader's Cheat Sheet
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Introduction to Chart Patterns
There are hundreds of thousands of market participants buying and selling securities for a wide variety of reasons: hope of gain, fear of loss, tax consequences, short-covering, hedging, stop-loss triggers, price target triggers, fundamental analysis, technical analysis, broker recommendations and a few dozen more. Trying to figure out why participants are buying and selling can be a daunting process. Chart patterns put all buying and selling into perspective by consolidating the forces of supply and demand into a concise picture. As a complete pictorial record of all trading, chart patterns provide a framework to analyze the battle raging between bulls and bears. More importantly, chart patterns and technical analysis can help determine who is winning the battle, allowing traders and investors to position themselves accordingly.
In many ways, chart patterns are simply more complex versions of trend lines. It is important that you read and understand our articles on Support and Resistance as well as Trend Lines before you continue.
Chart pattern analysis can be used to make short-term or long-term forecasts. The data can be intraday, daily, weekly or monthly and the patterns can be as short as one day or as long as many years. Gaps and outside reversals may form in one trading session, while broadening tops and dormant bottoms may require many months to form.
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Daily Candlestick Chart for GEGP
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$VLNX BarChart Trader's Cheat Sheet
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Inflationary Relationships
The intermarket relationships depend on the forces of inflation or deflation. In a "normal" inflationary environment, stocks and bonds are positively correlated. This means they both move in the same direction. The world was in an inflationary environment from the 1970's to the late 1990's. These are the key intermarket relationships in a inflationary environment:
A POSITIVE relationship between bonds and stocks
An INVERSE relationship between interest rates and stocks
Bonds usually change direction ahead of stocks
An INVERSE relationship between commodities and bonds
A POSITIVE relationship between commodities and interest rates
A POSITIVE relationship between stocks and commodities
Commodities usually change direction after stocks
An INVERSE relationship between the US Dollar and commodities
POSITIVE: When one goes up, the other goes up also. INVERSE: When one goes up, the other goes down. Interest rates move up when bonds move down
In an inflationary environment, stocks react positively to falling interest rates (rising bond prices). Low interest rates stimulate economic activity and boost corporate profits. As interest rates fall and the economy strengthens, demand for commodities increases and commodity prices rise. Keep in mind that an "inflationary environment" does not mean runaway inflation. It simply means that the inflationary forces are stronger than the deflationary forces.
Daily Candlestick Chart for TNIB
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$EVPH BarChart Trader's Cheat Sheet
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Assessing Management before Investing
In order to execute a business plan, a company requires top-quality management. Investors might look at management to assess their capabilities, strengths and weaknesses. Even the best-laid plans in the most dynamic industries can go to waste with bad management (AMD in semiconductors). Alternatively, even strong management can make for extraordinary success in a mature industry (Alcoa in aluminum). Some of the questions to ask might include: How talented is the management team? Do they have a track record? How long have they worked together? Can management deliver on its promises? If management is a problem, it is sometimes best to move on.
$PRPM BarChart Trader's Cheat Sheet
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Scale Settings for Trend Lines
High points and low points appear to line up better for trend lines when prices are displayed using a semi-log scale. This is especially true when long-term trend lines are being drawn or when there is a large change in price. Most charting programs allow users to set the scale as arithmetic or semi-log. An arithmetic scale displays incremental values (5,10,15,20,25,30) evenly as they move up the y-axis. A $10 movement in price will look the same from $10 to $20 or from $100 to $110. A semi-log scale displays incremental values in percentage terms as they move up the y-axis. A move from $10 to $20 is a 100% gain, and would appear to be a much larger than a move from $100 to $110, which is only a 10% gain.
In the case of EMC, there was a large price change over a long period of time. While there were not any false breaks below the uptrend line on the arithmetic scale, the rate of ascent appears smoother on the semi-log scale. EMC doubled three times in less than two years. On the semi-log scale, the trend line fits all the way up. On the arithmetic scale, three different trend lines were required to keep pace with the advance.
In the case of Amazon.com (AMZN), there were two false breaks above the downtrend line as the stock declined during 2000 and 2001. These false break outs could have led to premature buying as the stock continued to decline after each one. The stock lost 60% of its value three times over a two year period. The semi-log scale reflects the percentage loss evenly, and the downtrend line was never broken.
Daily Candlestick Chart for DTWB
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$PLSB BarChart Trader's Cheat Sheet
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Daily Candlestick Chart for DIAAF
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Methods to Establish Support and Resistance?
Support and resistance are like mirror images and have many common characteristics.
Highs and Lows
Support can be established with the previous reaction lows. Resistance can be established by using the previous reaction highs.
The above chart for Halliburton (HAL) shows a large trading range between Dec-99 and Mar-00. Support was established with the October low around 33. In December, the stock returned to support in the mid-thirties and formed a low around 34. Finally, in February the stock again returned to the support scene and formed a low around 33 1/2.
After each bounce off support, the stock traded all the way up to resistance. Resistance was first established by the September support break at 42.5. After a support level is broken, it can turn into a resistance level. From the October lows, the stock advanced to the new support-turned-resistance level around 42.5. When the stock failed to advance past 42.5, the resistance level was confirmed. The stock subsequently traded up to 42.5 two more times after that and failed to surpass resistance both times.
$QBII BarChart Trader's Cheat Sheet
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Daily Candlestick Chart for DEWM
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Daily Candlestick Chart for HCBP
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$HRDN BarChart Trader's Cheat Sheet
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Spacing of Points
The lows used to form an uptrend line and the highs used to form a downtrend line should not be too far apart, or too close together. The most suitable distance apart will depend on the time frame, the degree of price movement, and personal preferences. If the lows (highs) are too close together, the validity of the reaction low (high) may be in question. If the lows are too far apart, the relationship between the two points could be suspect. An ideal trend line is made up of relatively evenly spaced lows (or highs). The trend line in the above MSFT example represents well-spaced low points.
On the Wal-Mart (WMT) example, the second high point appears to be too close to the first high point for a valid trend line; however, it would be feasible to draw a trend line beginning at point 2 and extending down to the February reaction high.
Daily Candlestick Chart for PARA
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$USDC BarChart Trader's Cheat Sheet
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Daily Candlestick Chart for REAL
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$ARNH BarChart Trader's Cheat Sheet
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![]() ![]() ![]() UPDATE; 5-1-22 courtesy of charting /\ wit tweezer top calls /\ Tony @Montana_Trades Really good study sheet on Candlestick Patterns [-chart]pbs.twimg.com/media/FRn8188XMAAdZvk?format=jpg&name=small[/chart] ![]()
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