Prices high above the Moving Average (MA) or low below it are likely to be remedied in the future by a reverse price movement as stated in the article by Denis Alajbeg, Zoran Bubas and Dina Vasic published in International Journal of Economics, Commerce and Management
This study is the third variant that aims to present this idea, and the output of the study is presented as lines that serve as possible levels in the future.
1st variant of the idea is presented as an centered oscillator, link to Price Distance to its MA Study, within its description you may find more about the idea and some statistical observations. Also some derivatives with MACD-X, More Than MACD and P-MACD
2nd variant of the idea are presented as colored triangle line ( Colored Price/MA Line), using the same calculation methods and presented in the bottom of price chart.
Link to studies where it is included : Colored and Band's Cloud, SuperTrendRange and vX
3rd variant (this study) as stated earlier aims to present the same idea as levels.
The users can adjust source and length of the moving average that is used as base for the distance oscillator
Signal triggering options includes length for the deviation bands, multiplier as well as smoothing of the oscillator
Line customization settings
Additionally an alert can be configured to be warned earlier to watch out for probable pullbacks or reversals
Technical details for whom interested
Calculating the price distance to the MA results in a centered oscillator lets call it Distance Oscillator (quite similar to the ), as shown in the blow chart
Unlike , oscillations with the distance oscillator are not limited within a specific range, hence identifying overbought and oversold is not as straight forward as it is with . To determine overbought and oversold levels, standard deviation of distance oscillator is calculated and bands generated with the same approach applied with .
Once we have the threshold bands then crossing those bands we may assume as important levels and draw a line, if oscillator values keeps above the threshold bands (deviation bands) the logic behind the code will update the line drawing accordingly.
To reduce noise a smoothing can be applied
Please note that the implementation applied here can be applied to any oscillator such as , , etc even (if bear candle volumes are multiplied by -1)
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
В истинном духе TradingView автор этого скрипта опубликовал его с открытым исходным кодом, чтобы трейдеры могли понять, как он работает, и проверить на практике. Вы можете воспользоваться им бесплатно, но повторное использование этого кода в публикации регулируется Правилами поведения. Вы можете добавить этот скрипт в избранное и использовать его на графике.
Gann used angles, squares and other geometric constructions in his forecasting methods
Elliott proposes that the seemingly chaotic behavior of the different financial markets isn’t actually chaotic. In fact the markets moves in predictable, repetitive cycles or waves and can be measured and forecast using Fibonacci numbers
Andrew W. Lo and Archie Craig MacKinlay in their book “A Non-Random Walk Down Wall Street” stated that the price reflects all currently known information about an asset and may move in trends and that the study of past prices can be used to forecast future price direction
Many believe that emotions are the main driving force behind the shifts of financial markets - this commonly observed behavior of securities prices is sharply at odds with random walk. By gauging greed and fear in the market, investors can better formulate long and short portfolio stances
Many short-term traders rely exclusively on price action and the formations and trends extrapolated from it to make trading decisions
Nobody appears to know whether Fibonacci tools/Market Geometry work because markets exhibit some form of natural pattern/geometric shapes or because many investors use Fibonacci ratios / Market Geometry to predict price movements, making them a self-fulfilling prophecy.
My trading approach (btw, I am not an algo trader) relies on the idea that the market is geometric and cyclical in nature, and I do enjoy a lot synergies between statistics and geometry as Linear Regression channels