Extreme Fundamental Prices is developed for Stock Markets to see the optimum, estimated and extreme estimated prices of any stocks on any markets. It works globally. Every country has different inflation, interest and deposit interest rates. The indicator consider these difference and it adopts itself automatically for chosen stock. Only the "Deposit Interest...
what is Faytterro oscillator?
An oscillator that perfectly identifies overbought and oversold zones.
what it does?
this places the price between 0 and 100 perfectly but with a little delay. To eliminate this delay, it predicts the price to come, and the indicator becomes clearer as the probability of its prediction increases.
how it does it?
This indicator is...
Quantitative Kernel Delimiter QKD - aka "Fire and ICE" - is a six-level multiple Kernel regression estimator with cross-timeframe semi-coordinated delimiters (bands) enabled by mathematical validation to our own Kernel regression code with historical Kernel formulas having custom variable bandwidths , mults , and window width – all achieving an advanced...
EN:
Close Open Estimation ( aka COE ) is a very simple swing-trading indicator based on even simpler idea. This indicator is from my educational series, which means that I just want to share with another way to look at the market in order to broaden your knowledge .
Idea :
Let's take n previous bars and make a sum a of close - open -values of each bar....
What is Faytterro Estimator?
This indicator is an advanced moving average.
What it does?
This indicator is both a moving average and at the same time, it predicts the future values that the price may take based on the values it has taken before.
How it does it?
takes the weighted average of data of the selected length (reducing the weight from the middle to the...
I wasn't going to post this because I don't like how this calculates by puling in the Open price, but I'm posting it anyway. This does work in it's current form but there is a. better way to do this. I'll revisit this in the future.
Anyway...
The k-Nearest Neighbor algorithm (k-NN) searches for k past patterns (neighbors) that are most similar to the current...
a test case for the KDE function on price delta.
the KDE function can be used to quickly check or confirm edge cases of the trading systems conditionals.
"In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable."
from wikipedia.com
KDE function with optional kernel:
Uniform
Triangle
Epanechnikov
Quartic
Triweight
Gaussian
Cosinus
Republishing due to change of function.
deprecated script:
"In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable."
from wikipedia.com
A custom version of Profitable Moving Average Crossover that shows the last estimations on profit for each crossover type and allows to set date range for analysis.
Introduction
It was one of my most requested post, so here you have it, today i present a way to estimate an LSMA of any degree by using a kernel based on a sine wave series, note that this is originally a paper that i posted that you can find here figshare.com , in the paper you will be able to find the frequency response of the filter as well as both python...
Introduction
This indicator was asked and named by a trading meetup participant in Sevilla. The original question was "How to estimate the correlation between the price and a line as easy as possible", a question who got little attention. I previously proposed a correlation estimate using a modification of the standard score (see at the end of the post) for...
Introduction
The last indicators i posted where about estimating the least squares moving average, the task of estimating a filter is a funny one because its always a challenge and it require to be really creative. After the last publication of the 1LC-LSMA , who estimate the lsma with 1 line of code and only 3 functions i felt like i could maybe make something...
Hi everyone!
Introduction
A popular use for moving averages is to develop simple trading systems based on moving average crossovers. A trading system using two moving averages would give a buy signal when the shorter (faster) moving average advances above the longer (slower) moving average. A sell signal would be given when the shorter moving average crosses...
This is an experimental study inspired by the Quantitative Qualitative Estimation indicator designed to identify trend and wave activity.
In this study, rather than using RSI for the calculation, the Dual Volume Divergence Index oscillator is utilized.
First, the DVDI oscillator is calculated by taking the difference between PVI and its EMA, and NVI and its EMA,...
The indicator QQE, is an interesting tool based on a Relative Strength Index (RSI). While the original RSI is often used as a pointer for overbought or oversold market phases, the QQE provides additional information. Use the QQE to display trend direction and trend strength .
For me this is one of the most important indicator for Trend Following.
##This QQE...
Price Estimator with aggregated linear regresion
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How it works:
It uses 6 linear regression from time past to get an estimated point in future time, and using transparency, those areas that are move "visited" by those 6 different regressions and maybe more probable to be visited by the...
![GBPUSD: [EDU] Close Open Estimation Signals (COE Signals)](https://s3.tradingview.com/w/WjKPyA19_mid.png "[EDU] Close Open Estimation Signals (COE Signals)")
![GBPUSD: Nearest Neighbor Extrapolation of Price [Loxx]](https://s3.tradingview.com/p/PrvbOR2k_mid.png "Nearest Neighbor Extrapolation of Price [Loxx]")
![BTCUSD: DVDIQQE [DW]](https://s3.tradingview.com/z/ZNgiVb6Q_mid.png "DVDIQQE [DW]")
