prediction

aamonkey 135 views ・

This is a model to calculate Bitcoin price based on Difficulty. How to calculate it: BDM = (difficulty^0.51) * 0.002 For the difficulty, the daily average is used.

SNOW_CITY 9713 views ・

Updates to xSilas Godmode Oscillator published December 19th, 2014 Thanks to LEGION, LAZYBEAR, Ni6HTH4wK, xSilas Updates: Changed default sources to include BITSTAMP and REMOVED BTC-e Changed default lengths for SCALPING SUPREMACY - See Instructions Changed "Caution dots" to RED because YELLOW was hard to see. I mostly Ignore the oscillators and only use the...

Lemrin 3376 views ・

This is a quick script that combines two standard indicators, the Awesome Oscillator and MACD histogram, to highlight the beginnings of periods of fast price movement (divergence between the two). Since MACD's EMA responds more quickly than AO's SMA, look for periods of green over gold as a bullish signal, and red under blue as a bearish signal. Of course both...

alexgrover 899 views ・

Introduction I inspired myself from the MACD to present a different oscillator aiming to show more reactive/predictive information. The MACD originally show the relationship between two moving averages by subtracting one of fast period and another one of slow period. In my indicator i will use a similar concept, i will subtract a quadratic least squares moving...

oh92 763 views ・

This EMA Candles indicator use the price movement between two user selected Exponential Moving Averages to help determine the current trend. As of release, there are 5 possible bar color outputs, all of which are shown in the legend above. The Five Electable Color Outputs: Uptrend; Strong Uptrend; Downtrend; Strong Downtrend; n/a I hope you all enjoy!...

laptevmaxim92 813 views ・

This moving average, in contrast to the standard, shows a slowdown of the current trend - it draws additional zones of yellow color. These zones show a possible trend reversal by 1-2 bars earlier than the standard Hull moving average. Additionally, there are arrows to enter a position and the second is the same MA for another timeframe, which can be selected in...

alexgrover 690 views ・

Introduction Adaptive technical indicators are importants in a non stationary market, the ability to adapt to a situation can boost the efficiency of your strategy. A lot of methods have been proposed to make technical indicators "smarters", from the use of variable smoothing constant for exponential smoothing to artificial intelligence. The dominant cycle...

number1te 615 views ・

The Alpha-Sutte model is an ongoing project run by Ansari Saleh Ahmar, a lecturer and researcher at Universitas Negeri Makassar in Indonesia, that attempts to make forecasts for time series like how Arima and Holt-Winters models do. Currently Ahmar and his team have conducted research and published papers comparing the efficacy of the Alpha-Sutte and other models,...

BiO-618 609 views ・

Hey! I have been working on this script the lasts days, it's a collaboration with an uruguayan mate. #####IMPORTANT##### * It has been optimized for 4h charts, use it on other at your own risk. * Always use Stop Loss, since it might give false signals after a long trend. * I'm still working on it, I'm going to add candlestick pattern filtering. Thanks for your...

RicardoSantos 2207 views ・

this code is untested use at your own risk... applying timed price change over the square to predict price expansion or contraction of the range, it is not predicting the future price only the range that is possible for the price to be in within a margin of error of possibility, with that said i think its very unlikely for price to fall outside the range, due to...

dep0tyoxxx 469 views ・

Confluence Zone Calculation for Support in Bullish Tends (or Restance in bearish ones) Ever wondered why sometimes the zag of an Elliot Wave zigzag is stopped after just a few points? (Like in the given Chart where I draw a line for a typical zag action.) It has often to do with confluence Zones. Most people think that the lower edge of a narrow range,...

alexgrover 908 views ・

Introduction If you rescale a sine wave to the price you will need to correlate it with it in order to show good results, today i present a different method that does not involve correlation to "morph" a sine wave to the price in order to provide forecast's and highlight market periodic patterns. Parameters length control the period of the sine wave, power...

RodrigoKazuma 409 views ・

This indicator shows when the market is oversold or overbought changing the bar colors as the High+Low/2 going to extreme.

capissimo 354 views ・

Holt's method (see: otexts.com) Holt (1957) extended simple exponential smoothing to allow the forecasting of data with a trend. This method involves a forecast equation and two smoothing equations (one for the level and one for the trend): Forecast equation: ŷ = l + h * b Level equation: l = alpha * y + (1 - alpha) * (l + b) Trend...

muuko 368 views ・

artificial neural network for bitcoin trend prediction with customizable thresholds. educational use only. i suggest big periods only. redraws!!

dep0tyoxxx 389 views ・

The script is written for Constance Brown-like anayis with divergence signals between price and indicator (i.e. stock close / RSI divergence) Note: Though the example here with NVDA shows good reversal predictions, best results generally are optained with un-normalized indicators and oscilators like CB#s comosite index. (For Trading view written by LazyBear.) I...

alexgrover 995 views ・

Basic extrapolator for forecast a time-series, all forecasts are mades length periods ahead. This is not a estimation of the exact price This should only be used for forecasting direction, dont expect the price to be at the same value of its forecast. Bias, Mean absolute error,...

alexgrover 512 views ・

Introduction I have already posted a classic indicator using recursion, it was the stochastic oscillator and recursion helped to get a more predictive and smooth result. Here i will do the same thing with the rsi oscillator but with a different approach. As reminder when using recursion you just use a fraction of the output of a function as input of the same...