Library "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 :...
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.
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,...
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...
"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:
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....
"In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable." from wikipedia.com
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...
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...
Price 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...