In my book on “Gann Method” though I have explained various principles of W.D.Gann’s method and its application on the stock market but the one which inspired me a lot is “Gannangle” principle. The Gannangle is defined as the set of trend lines drawn from an individual price point or from different price points (i.e. high, low, and midpoint) in order to identify the supports and resistances of a future price move. At this stage, do not worry much about this definition. It will become simpler as you proceed to the next part of this article. The next big thing about the gannangle trend lines are that they are drawn at a particular angle with respect to the X-axis or to the time line. This concludes the basic formation of gannangle trend lines. Now let me explain this concept with the help of an example. Say I wish to draw a trend line at 1X1 (read it “one by one”) gannangle. This means my trend line is a straight line drawn in the price time chart which makes an angle 45 degree with the X-axis. You must ask me that how I have derived the 45 degree. Quite simple! This is a trend line drawn assuming 1 unit of price change happens with 1 unit of time change. If I will plot 1 unit of price change with respect to 1 unit of time change in a semi log scale and measure the angle with the help of a protractor I will get the angular measurement as 45 degrees.
5 th October 2011 I have used the data points of nifty future as 4885-4725-4779 as previous day high, low and last trade price. I have used the current days high, low open and current price 4822-4785-4791- 4799 based on the above analysis I have bought nifty 4800ce October 2011 at 155.90and achieved the target 167. Trade entry exchange reference number, time of order entry, trade number, trade time,
NIFTY SPOT: View for 15th March 2012
Nifty did go 20 points above the resistance zone but closing is still in the zone. News based days are ahead and market can become very volatile. All levels can be broken on a single day. So avoid risky trades & It is better to trade in options. Intraday traders can look for support around 5435-
Grant Jeffrey wrote the book The Signature of God and states that the average age of man is only 43.75 years since the Floods. He goes on to state that if women procreated at the Fibonacci Sequence, since the floods, we would equal the number of humans we have on Earth right now. He parallels the works of Gregg Braden in Awakening To Zero Point and Genesis, where man was asked to go forth and multiply, no limits. Personal Opinion: my opinion is that the Earth's Hertz are speeding up , toward sleep state, since the speed of the Earth's spin is slowing down and magnets are losing holding power, so when the billions of people and the Earth's Hertz ratio 12:13, then the Earth will stand still. The Melody Sax was set to the key of middle C so two players could read the same sheet music: now if you check with Wall Street, they will tell you that humans donÕt want to buy stocks priced over $50.00 per share, plus you will see that most stocks are traded between $43.75 and $18.75. And you already know that if you bundle up all stocks and put them in an Index you will have a group called the S&P 100 and 500 and you know that if you multiply 43.75 x 2 and move the decimal over one place you shall see Murrey Math exactly on all our charts! Columbia, COL, chart 10 is a perfect example of a stock set to the life of a human. We simply draw line at 43.75 and come down one octave to 31.25 and let it trade inside our square and we would expect it to get support at F, 4/8ths, 50% line and we see that it reversed 3 times off this line. Please notice how this stock could never trade inside its center circle and it went up fast as soon as it moved to the right and got away from it? See the three gaps up at the top? Those were sell signals to be out. A curious parallel to this stock's price action pivot points 25, 50, 75% equal 3.12 points and each 1/8th = 1.5625 points, which is the offset difference between the columns at the Parthenon, right next door to C.O.L. We have seen markets react on a 2 yr. chart, 6 months chart, 1 quarter chart, 1 day time and lastly we shall look briefly at a Trader's Intraday Chart 7 This is an intraday trading frame that all traders who get in or out during the day shall find will bring them great knowledge that leads to wealth to share with others. October 27th, 1997 our markets crashed along with the Hong Kong Currency devaluation. The next day our markets reversed and came right back up to the prices of the previous day.
Squaring a Low
Squaring a low means an equal amount of time has passed since the low was formed. This occurs when a Gannangle moving up from a bottom reaches the time period equal to the low. For example, if the low price is 100 and the scale is 1, then at the end of 100 time periods an up trending Gannangle will reach the square of itself. Watch for a top, bottom, or change in trend at this point. The market will continue to square the low as long as the low holds. A graphical representation of squaring a low price can be seen on a chart Gann called a zero- angle chart. This chart starts an up trending angle from price 0 at the time the low occurred and brings it up at one unit per time period. When this angle reaches the original low price, a top, bottom, or change in trend is expected.
less turbulent period. Two different analyses are accomplished: at a first glance, the intraday behaviour of return volatility is observed for the Index. The same intraday analysis is then conducted for three selected stocks - BCP, EDP and BRISA. These were selected since they are among the most representative Index members, which must allow the conduction of an intraday analysis and should minimize liquidity constraints already referred regarding trading frequency. Besides, the selection of three issues with different dimensions, trading activity and liquidity levels allows showing that even being among the most liquid and largest shares in the Index, differences in intraday patterns can still be accounted. Finally, they were chosen from different industrial sectors: financials - Banco Comercial Português, energy - Energias de Portugal and motorways/utilities – Brisa. As indicators of trading activity, both trading volume and the number of trades per day shall be good proxies of liquidity for each stock. The market figures and indicators on trading activity of stocks presented in Table 1 allow us to classify EDP and BCP as more liquid shares and Brisa as a relatively less liquid issue.
movement of the Sidereal Moon thru a 'sign' as well as the MC over NYC (I trade the YM.) Whether you use NYC or Chicago, the MC will move 30* in approx 2hrs and remember that each 3.75* of a 30* sign has a 'natural ruler'. Transiting MC was at 0*Leo at 8:41am EDT and the 1st 3.75* on any sign is ruled by Saturn. The MC will transit to 0* Virgo at 10:33am EDT and the 2nd segment of a sign is ruled by Jupiter.
32 W. D. Gann, Wall Street Stock Selector, supplementary material, p. 11. In reality, as we find on p. 5 of W. D. Gann's promotional brochure "Learn Before You Lose," Mr. Gann forecast the coming stock market crash even earlier than he states here. "In the spring of 1927, Mr. Gann wrote 'The Tunnel Thru the Air, or Looking back from 1940,' which contained many remarkable forecasts in regard to stocks and commodities and world events which have been fulfilled. In this book Mr. Gann said that from 1929 to 1932 there would be the worst panic in the world’s history." It was after he wrote and published this book that he made his 1929 forecast for subscribers: "His 1929 Stock Forecast, issued on November 23, 1928, and based on his Master Time Factor, indicated the end of the bull market in August and early September, 1929. He stated in no uncertain terms that the panic would start in September, 1929, and that it would be a great deluge with a Black Friday." It seems reasonable to conclude that, if the prediction in the 1929 Forecast was "based on his Master Time Factor," so, too, the prediction of a panic in The Tunnel Thru
Integration of Gann, Elliott, and Fibonacci Techniques by Peter Matske
If your trading is based only upon study indicators you may find that adding additional techniques may be of benefit. Most studies are based upon price, in fact very few consider time at all, other than to smooth or average a number. The techniques of Gann, Elliott, and Fibonacci all offer the integration of time as well as price, and therefore may add value to your trading.
In cases where the books from the Gann Reading List, as it is sometimes called, are on line and freely available to all, links have been provided. Many of the other books are still being printed by specialty vendors or may be found through second-hand booksellers.
This E-Book is not to be sold. It is a free educational service
Not all charts will have a price movement that stops in the exact center like the wheat chart shown in Figure 10, but clearly this one did (point A). In May and June 1999, the price was going through several closely spaced Gannangle lines from above and below. This is a zone of congestion and slow trending, but in the wide-open spaces during February, March, and April, wheat had room to run. Further, after three years of downtrend, the wheat price did not cross into the lower right-hand portion of the Gann square. Does this suggested support forecast an upcoming bottom?
The CATCH-22 to Gann's clandestine method is that I think it can only be used effectively as a trading edge the next day as opposed to forecasting ONE FINAL HIGH or LOW price into the future as implied in the 1909 article. More than one outcome is generated by the method, but we are given only the final turning point in these movements by the writer in the 1909 article. Did Gann really make those long term forecasts? If he didn't, why is there a single algorithm used (with multiple indications) from the Square of Nine to identify every one of the price points in those eleven forecasts? Conversely, are we to believe he had some magical astrological technique to pick the terminal price point out of the many possible outcomes the method
Mr GANN would have loved spreadsheets if they were around when he was trading.
The purpose of the GATE is to assist with the analysis of any Instrument in any Market using many of the GANN technique. GATE System does many of the cumbersome calculations and house keeping activities that are required if you want to use the GANN analysis. Past performance of ranges and time can easily be examined and projected forward. Clustering of Time uses both Calendar Day and the Ephemeris. GATE maintains the time consuming Reference charts and squares.
market in the past few years. I once saw him take $130, and in less than one month run it up to cover $12,000. He can compound money faster than any man I ever met."
"One of the most astonishing calculations made by Mr. Gann was during last summer (1909) when he predicted that September wheat would sell at $1.20. This meant that it must touch that figure before the end of the month of September. At twelve o'clock, Chicago time, on September 30th (the last day) the option was selling below $1.08, and it looked as though his prediction would not be fulfilled. Mr. Gann said 'If it does not touch $1.20 by the close of the market it will prove that there is something wrong with my whole method of calculation. I do not care what the price is now, it must go there.' It is common history that September wheat surprised the whole country by selling at $1.20 and no higher in the very last hour of trading, closing at that figure.
analysis is intended to estimate the increase in settlement delay brought on by a reduction in LVTS participants’ intraday liquidity over a three-month sample period. Point estimates of this impact for each amount of intraday liquidity are used to generate the trade-off curves presented in Figures 3 through 5. Previous internal research conducted by the Bank of Canada shows that annual LVTS payment activity is affected by specific calendar events and also monthly trends. Consequently, the estimated impact on settlement delay following reductions in intraday liquidity is expected to take on different values based on the specific dataset used in the analysis. Although using a three-month sample helps to capture the effect of certain monthly and quarterly calendar effects occurring during this period, there is a desire to reduce the risk of small-sample bias and to obtain more statistically robust results. For example, it has been observed that the same calendar event may yield a different effect on LVTS payment activity, depending on when it occurs throughout the year. Similarly, use of a single three-month sample may not capture the effect that semi-annual and/or annual calendar events may have on the simulation results. Nor will it capture the potential impact of monthly trends in LVTS T2 payment activity.
When a sine bar is placed on a level surface the top edge will be parallel to that surface. If one roller is raised by a known distance, usually using gauge blocks, then the top edge of the bar will be tilted by the same amount forming an angle that may be calculated by the application of the sine rule. Sine bar fully worked on manually.
Intraday Planetary Lines
The position of planets moving along the Ecliptic as seen from the Earth is measured in the geocentric ecliptic system in degrees of longitude on a scale from 0 to 360° Through harmonic multiples of such scales planetary prices can be derived and planetary lines can be drawn describing the movement of planets along the ecliptic through time. Choosing the proper multiples it is possible to compare stock prices with planetary prices, although the concept may sound difficult to be grasped and the reason to compare planetary prices with stock prices may seem hard to be understood, it can be shown that very often, choosing the proper harmonic multiples, stock prices seem to resonate when crossing planetary prices. This, in short is the concept behind drawing planetary lines on stock charts. The first man to have this intuition was W.D. Gann, now planetary trading lines are a fundamental tool for any serious astro researcher or astro traders. They can be drawn on daily and intrady charts and with some experience thay can help the expert astro trader in his timing decision. Some commercial packages are available with planetary tolls that can draw these lines but they are very expensive and most of the time difficult to be used and configured accordingly to one's own preferences.
Abstract. In this paper, I model the intraday trading activity based on volume du- rations, i.e. the waiting time until a predetermined volume is absorbed by the market. Since this concept measures the trading volume per time it is strongly related to market liquidity. I focus on volumes measured independently of the side of the market as well as on buy volumes, sell volumes and volumes measured on both market sides simulta- neously. For econometric modelling of the different duration concepts, the performance of alternative types of Box-Cox-ACD models are analyzed. By evaluating out-of-sample forecasts, evidence is provided that Box-Cox-ACD models are a valuable tool for pre- dicting volume durations. It is shown that volume durations measured independently of the side of the market have the best predictability. Furthermore, I illustrate that the inclusion of explanatory variables capturing past market activities concerning the price process and imbalances between the buy and sell side of the market. The empirical study uses IBM transaction data from the NYSE.
servation in the out-of-sample period. For the UK Bank series this yields 2,240 half-hour time ori- gins for a total of 1,003,520 predicted data points. For the US Bank series, the average error is calcu- lated across lead times from 5-minutes to one day ahead yielding 1,690 multiple-step-ahead out of sample predictions across multiple time origins and a total of 1,428,050 forecasted points. Finally for the Israeli Bank series forecasts are produced from 1 hour ahead up to 2 weeks ahead generating forecasts from 450 hourly time origins to create 81,000 predicted data points. This yields a large set of forecasts, and forecast error measurements for each method, and for each horizon, and hence a more reliable and robust estimation of the empirical distribution of errors for different horizons (Tashman 2000). In addition, the Giacomini and White Conditional (GW) test with the null hypothe- sis of equal forecast accuracy is used to compare the forecast accuracy of competing methods in a multiple pairwise comparison (Giacomini & White,2006) of the select best SMA, hybrid and bench- mark methods. For each time series and pair of methods the out-of-sample forecast errors for the rel- evant h-step-ahead forecasts is compared to assess performance at the longest horizon. The Giaco- mini and White Conditional Test directly accounts for the effects of estimation uncertainty on fore- cast performance in contrast to unconditional tests such as the Diebold Mariano Test which do not take into account differing model complexities (Giacomini & White,2006). It is also chosen over the Diebold Mariano Test as it allows a unified treatment of both nested (e.g. SMA methods of different lengths) and non-nested models (SARIMA and MLP). Results of the GW test together with the large number of out-of-sample errors generated using rolling origin forecasting are deemed sufficient to ensure valid and reliable results (albeit only for the assessed datasets).