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Estimation

FunctionSurvivalEstimationLibrary "FunctionSurvivalEstimation" The Survival Estimation function, also known as Kaplan-Meier estimation or product-limit method, is a statistical technique used to estimate the survival probability of an individual over time. It's commonly used in medical research and epidemiology to analyze the survival rates of patients with different treatments, diseases, or risk factors. What does it do? The Survival Estimation function takes into account censored observations (i.e., individuals w
Библиотека
от RicardoSantos
4
Static price-range projection by symbolThis indicator shows you a predefined range to the right of the last candle of your chart. This range is custom and can be changed for a handful of symbols that you can choose. This scale will help you determining if the market is providing a reasonable range before you enter a trade or if the market isn't actually moving as much as you might think. This is particularly useful if you are into scalping and have to consider commission or spread in your trades. Since all symbols have differe
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от Remote-Trading
Polyphase MACD (PMACD)The Polyphase MACD (PMACD) uses polyphase decimation to create a continuous estimate of higher timeframe MACD behavior. The number of phases represents the timeframe multiplier - for example, 3 phases approximates a 3x higher timeframe. Traditional higher timeframe MACD indicators update only when each higher timeframe bar completes, creating stepped signals that can miss intermediate price action. The PMACD addresses this by maintaining multiple phase-shifted MACD calculations and combining th
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от The_Peaceful_Lizard
6
Faytterro Oscillatorwhat 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 obtained with "faytterro bands", another indicator I designed. For more information about faytterro bands: A kind of stochastic functio
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от faytterro
48
Profit EstimateLibrary "profitestimate" Simple profit Estimatr. Engages when Position != 0 and holds until posittion is na/0... if position changes sizes, it will update automatically and adjust. it has an input for comission to estmate exit fees update_avgprice(_sizewas, _delta, _pricewas, _newprice)   Get a new Average position Price   Parameters:      _sizewas : (float) the position prior      _delta : (float) the order amount      _pricewas : (float) the prior price      _newprice : (float) the pric
Библиотека
от kaigouthro
2
[EDU] Close Open Estimation Signals (COE Signals)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. Knowledgeable of you may already see the similarity to RSI calculation idea . Now let's plot this sum and see what we have now. We
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от tarasenko_
1
Faytterro EstimatorWhat 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 ends). then draws a parabola through the last three values, creating a predicted line. How to use it? it is simple to use. You can us
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от faytterro
17
Nearest Neighbor Extrapolation of Price [Loxx]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 pattern and computes the future prices based on weighted voting of those neighbors. This indicator finds only one nearest neighbor. So,
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от loxx
5
Japanese Correlation CoefficientIntroduction 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 the estimation of a Savitzky-Golay moving average (LSMA) of order 1, however something faster could maybe be done and this is why i a
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от alexgrover
General Filter Estimator-An Experiment on Estimating EverythingIntroduction 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 more flexible and less complex with the ability to approximate any filter output. Its possible, but the methods to do so are not some
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от alexgrover
11
DVDIQQE [DW]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, then taking the difference between the two results. Optional parameters for DVDI calculation are included within this script: - An o
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от DonovanWall
25
Price Regression AgreggatorPrice Estimator with aggregated linear regresion --------------------------------------------------------------------------- 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 price (in fact if you zoom out you will see that price normally is around the lighter zones) have more aggregated painted colors, the
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от hecate
1