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1. Jesse Livermores Secret To Success

2. Home page investor image explanation

3. The great crash 1929

4. Dear NewBie Investor

5. How to win in the stock market

6. Commandments to follow

7. 10 Rules for Investing

8. How to survive a stock market crash

9. William J ONeil, CANSLIM

10. Barry Ritholtz keep it simple stupid

11. Gerald Loeb how to win

12. Paul Tudor Jones II

13. Felix Zulauf

14. Warren Buffett

15. Reading the tape

16. Indicators Introduction

17. Richard Ney method

18. Richard Wyckoff method

19. Richard Wyckoff is a success story

20. Richard Wyckoff logic not working, this maybe why?

21. Richard Wyckoff studied Jesse Livermore

22. Bob Evans, renowned Wyckoff teacher

23. William Gann method

24. William Gann life story

25. William Gann Law of Vibration

26. Jim Hurst method

27. Wyckoff method improved1

28. Wyckoff method improved2

29. Original Wyckoff and Wyckoff 2.0

30. Wyckoff 2.0 vs Others

31. Wyckoff 2.0 and Volume Spread Analysis

32. Powerful Patterns

33. Elliot Waves

34. Price Action

35. Market Statistics

36. Cycles for short term speculation

37. Stop Loss methods

38. Alpha Stock Scanner

39. Swing Scanner

40. Flash Charts

41. RTT Market Timer

42. RTT Wyckoff Short Term model

43. Chart Drawing Tools

44. Standard Indicators

45. Proprietary Indicators (PI)

46. PI: RTT TrendStatus

47. PI: RTT TrendPower

48. PI: RTT VolumeWave

49. PI: RTT Rainbow Bands

50. PI: RTT Volume

51. PI: RTT MarketPulse

52. PI: RTT Steps of Cause and Effect

53. PI: RTT Wyckoff Strength Weakness

54. PI: Proprietary Indicators Caution

55. What we do?


The Wyckoff Stock Market Institute ( provides an excellent education program to get ahead with Richard Wyckoff logic, approves of their education material, but of course we prefer our charts, tools and scanner within for the live Wyckoff trade management.

Richard Wyckoff is an official affiliate of Wyckoff Stock Market Institute (or

Indicator Library
Jim Hurst method
The originator of this method is from the writings of Jim Hurst.

James Hurst Jim Hurst

James (Jim) M Hurst is a legend to knowledgeable individuals interested and involved in the study of cyclical price movement in the financial markets.

By training and background an aerospace engineer, he was the first true pioneer in the computerized research into the nature of stock price action, devoting many years and over 20,000 computer hours to this study. His conclusions were first documented in his groundbreaking classic, The Profit Magic of Stock Transaction Timing.
The work of Hurst inspired cycles analysts who came later, and represents the most important factor behind the work later done by such cycles luminaries as peter Eliades, Jim Tillman, Walter Bressert, and Brian Millard.

First, let's review some basic cycle terminology.
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Hurst Cycle Terminology

Jim Hurst published his methods in the book called 'The Profit Magic of Stock Transaction Timing' (see our education page). Hurst determined that a price series may have dominated cycles that can be used to time stock transactions for profit. You can also learn more via our  videos.

How would Hurst Trade:
In short he would:
1) Find the dominant cycle or cycles: One can use the basic eyeball method or as we prefer the 'RTT Cycle Finder Spectrum' tool to determine dominating cycles within a price series.
2) Find the sub cycle by dividing the dominant cycle in half. (Example: A dominant cycle of 80 would have a sub cycle of 40). Of course, you can use other lower period cycles that have a good Bartels value.
3) Time your stock transaction with turns of (2) within the trend of (1). See more on the subject under the post titled PI:Price to continue or reverse?
Note: We use the RTTHurstDPO or the RTTHurstROC to time price action to the dominant cycle.

To use the full set of Hurst tools you require a membership to RTTIndicators. Standard indicators have limited Hurst Cycle functionality.

Please review the 80 period cycle within the SPY ETF (image below). The dominance did not really start until mid 2008, then it has led the way of nearly all major market turns. You will need to search far and wide to find a better leading (not lagging) stock timing indicator than the Hurst cycle. However, like anything a cycle dominance can fade, dominance can shift, therefore one has to be diligent and monitor a price series closely. The chart below is an example why Hurst was successful. Price and their underlying cycles can be predictable and therefore stock transaction timing is very possible and can be very profitable.

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Hurst Cycle SPY
The Hurst cycle we use is a sine wave filtered by price, the higher the correlation of price to the sine wave the less the sine wave is altered. Thus allowing one to view good and poor periods of price cycle behavior.
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Hurst Cycle Understanding

If you find multiple significant cycles, you can plot them together and then combine them to see the master cycle.

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Hurst multicycles SPY

Or it might be best to study multiple cycles individually.
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SPY Cycles Multi Single

Cycles do exist in the market or any time series. Just check out these cycles lows found on the Dow Jones.
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INDU Dow Jones Cycles

Once we determine the dominant cycle, a scientific method is required to measure the performance of price relationship to the cycle. Future price action is always an 'unknown', but we can say that future price action will take one of three forms:
(i) Conform to the cycle.*
(ii) Temporarily trend in an inverse manner to the cycle. *
(iii) Break the cycle, as to render cycle influence as random.

*These periods are excellent opportunities to profit.

The following chart highlights the two tools we use to measure price action with the dominant cycle, the RTTHurstDPO and the displaced moving average. Hurst expected price to conform to the cycle by the completion of the half cycle, but Hurst understood that price in trends can temporarily inverse to cycle, this is accepted as long as price reaffirms its relationship to the cycle by the next swing.

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Cycle to price performance RTTHurstDPO

When price action fails to obey the cycle this is called an inversion. How to judge possible inversions is a technical art that the Hurst analyst must master.

Methods available are:
1) Apply a displaced simple moving average to the price, displacement being half of the cycle period. If price fails to break the average then the price is likely to inverse to the cycle.
2) Apply the RTT HurstDPO. If the DPO price breaks the cycle swing, then the price is likely to inverse to the cycle.
3) Apply the RTT TrendPower tool, to determine if the strength or weakness of the trend concurs with expected cycle outcome (note: if the cycle period is 80, then use 40 within the RTT TrendPower indicator).
4) Apply methods from the Wyckoff and Gann tool chest. Gann Angles, Wyckoff market phases and volume patterns will increase your odds of correctly determining a price inversion to the cycle.

Example: Gann Angles help with the determination of price inversion to the dominant cycle.

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Price inversion to dominant cycle Cycle Finder Spectrum
We have incorporated the latest advanced mathematics to find within a price series sample:
1) Cycles with significant amplitudes
2) Rank cycles with their 'Bartels Significance Value'.
3) Determine win loss percentage of cycle profitability to price.

The 'RTT Cycle Finder Spectrum' is a pop out tool within the members area. It is designed to scan for cycles while you are building an analysis or cycle chart. There is no charting functionality within this tool.

The Bartels Significance Value
Developed by Julius Bartels, a geophysicist who worked at the Carnegie Foundation in Washington in the 1930's. The advanced maths measures the stability of the amplitude and phase of each cycle. The method provides a direct measure of the likelihood that a given cycle is genuine and not random. The closer the cycle Bartels value is to zero, the less likelihood the cycle has been influenced by random events, and therefore significant to the data series.

To conclude: The lower the 'Bartels value' the more significant the cycle to the price series sample used.

We color code the report table for easier use, as follows.
Red < 2.5
Blue < 7.0
Green < 12.0

Any reading over 7.0 requires an eyeball determination as to the cycles significance. For readings over 12 the cycle is unlikely to be significant, and more likely to be random. Cycle readings below 2.5 are considered to be significant. The 'Bartels value' does change over time for each cycle period, therefore regular monitoring of the price series to cycle dominance is required.

Examining the profit win loss percentage of cycles is another tool to use to determine the dominant cycle. This is very useful when you have a cluster of low Barbels cycle scores.

Recently we found a dominant cycle within the SP500 index, that had a Bartels score of 2.0245, a win/loss count percentage of 80%, a win/loss SP500 points of 85%. Knowing this cycle I made very sure we did not invest against it. Whereas the general market participants had no idea of this dominant cycle and most likely suffered a loss. Further, it is great to have an indicator that is 80% accurate, it is even better when you add our proprietary RTTTrendStatus and RTTHurstDPO tool to make the percentage chance of success even higher.

Another point to note is that a Bartels scan is cumulative over the data sample selected, that is it examines all data over the cycle period selected. This is not like stock scans for RSI levels or MACD levels which are at a point in time.

Example output from the 'RTT Cycle Finder Spectrum'.

Specification are:
Symbol: SPY
Run to last date (optional): 04/01/2010
Manual cycle period selected (optional): 78
Max cycle periods to scan up to: 150
Daily data sample size used: 750 days
Max daily data sample available: 4325 days.

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Cycle Finder Spectrum

See why Bartels Significance Values do matter.
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Bartels scores do matter

This is the methodology used to determine win loss percentage of cycles related to price time series.
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Hurst Cycle win loss ratio

We also take a portfolio approach with Hurst logic. For example, we scanned the NASD100 index to find the dominant cycle. This turned out to be cycle period 78. Then we wanted to find stocks within the NASD100 that are most sensitive to cycle period 78 for our portfolio. The results follow.

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NASDAQ Bartels scan

The above Hurst cycles are adaptive cycles to price action. can also draw standard swine wave cycles (these cycles do not change with price action) for those folks who follow Wall (20 week) and Kitchin (60 or 180 week) cycles, and the cycles can be combined for cycle trend studies.


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Sine Wave

Here is an example of standard (fixed) sine waves and adaptive sine waves confirming price action.

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Sinewave Fixed and Adaptive

If you are a fan of the Wall and Kitchin cycles, then the follow chart is an example of them:

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Wall Cycle

NOTE: does allow users to load objects and text on charts, however some annotations are by a free third party image tool named

Investing Quote...

.."Keep the number of stocks you own to a controllable number. It is hard to herd cats, and it is hard to track many securities. Take your losses quickly and do not brood about them. Try to learn from them but mistakes are as inevitable as death."..

Jesse Livermore

.."Markets are designed to allow individuals to look after their private needs and to pursue profit. It's really a great invention and I wouldn't under-estimate the value of that, but they're not designed to take care of social needs"..

George Soros

.."A market is the combined behavior of thousands of people responding to information, misinformation and whim"..

Kenneth Chang

.."Money can't buy you happiness but it does bring you a more pleasant form of misery"..

Spike Milligan

..“The main purpose of the stock market is to make fools of as many men as possible”..

Bernard Baruch

Created on: 8/25/2010 4:46:29 AM   Last Update: 8/4/2013 2:16:11 AM Posted by: RTT
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We at hold the view that a mix of stock chart technical analysis, Richard Wyckoff, William Gann and Jim Hurst methods plus market fundamentals allows the investor to formulate a very sound market opinion. These attributes are mutually inclusive and must be weighted equally before investing or trading in any Stock, ETF, Currency, Bond, Commodity, CFD or Mutual Fund

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