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Trendoscope Wizard Aktualisiert 

🎲 Introducing our most comprehensive automatic chart pattern recognition indicator. Last week, we published an idea on how to algorithmically identify and classify chart patterns. This indicator is nothing but the initial implementation of the idea. Whatever we explained in that publication that users can do manually to identify and classify the pattern, this...

PINE_LABS

We can observe that this indicator displays the range within which the asset fluctuates around the average price, and its behavior depends on the parameters of amplitude and angular frequency. "price_mas" is a measure calculated as part of the indicator. It is derived by adding an adjusted amplitude (A_mas) multiplied by the cosine of the combination of angular...

Steversteves Aktualisiert 

Another indicator release, I know. But note, this isn't intended to be a stand-alone indicator, this is just a functional addition for those who program Machine Learning algorithms in Pinescript! There isn't enough content here to merit creating a library for (it's only 1 function), but it's a really useful function for those who like machine learning and Nearest...

YinYangAlgorithms

Overview: Support and Resistance is normally based upon Pivot Points and Highest Highs and Lowest Lows. Many times coders even incorporate Volume, RSI and other factors into the equation. However there may be a downside to doing a pure technical approach based on historical levels. We live in a time where Machine Learning is becoming more and more used; thus we...

RicardoSantos Wizard

Library "SimilarityMeasures" Similarity measures are statistical methods used to quantify the distance between different data sets or strings. There are various types of similarity measures, including those that compare: - data points (SSD, Euclidean, Manhattan, Minkowski, Chebyshev, Correlation, Cosine, Camberra, MAE, MSE, Lorentzian, Intersection, Penrose...

blackcat1402

Level 1 Background It just so happens that I need some functions that can convert between the Series data type and the Array data type. Function Series is a unique data type of TradingView. By operating Series data, the algorithm can be simplified, which is very convenient. However, in high-level languages, Array is a basic data type that provides great...

Steversteves Aktualisiert 

Releasing the autocorrelation oscillator. NOTE! Please be sure to read the description. This is a theoretical indicator and its important to understand the theory behind its use. About the indicator: Before getting into the indicator and its functionality, its important to discuss the theoretical underpinnings of the indicator. The autocorrelation oscillator...

hobbiecode Aktualisiert 

This is a simple strategy that is working well on SPY but also well performing on Mini Futures SP500. The strategy is composed by the followin rules: 1. If today’s close is below yesterday’s five-day low, go long at the close. 2. Sell at the close when the two-day RSI closes above 50. 3. There is a time stop of five days if the sell criterium is not...

wbburgin

This indicator recursively finds the average of all high/low medians under your chosen length. This can be very, very helpful for analyzing trends where a moving average or a normal median would produce a bunch of false signals. Settings: The "Length" setting is the maximum median that you want the algorithm to add into the sum. The "Start at Period" setting is...

simwai Aktualisiert 

Introduction Heyo guys, I made a new (repainting) indicator called Local Model Kalman Market Mode. I created it, because I wanted a reliable market mode filter for a potential mean-reversion strategy (e. g. BB Scalping). On the screenshot you can see an example of how to use it in a BB strategy. E.g. you would enter long when you have bullish divergence, price...

jdehorty Aktualisiert 

Library "MLExtensions" normalizeDeriv(src, quadraticMeanLength)   Returns the smoothed hyperbolic tangent of the input series.   Parameters:      src : The input series (i.e., the first-order derivative for price).      quadraticMeanLength : The length of the quadratic mean (RMS).   Returns: nDeriv The normalized derivative of the input series. ...

fxdmn Aktualisiert 

This is my quality of life indicator for forex trading using the methods and concepts of ICT. The idea is to automate marking up important price levels and times of the day instead of doing it manually every day. Killzones Marks the most volatile times of the day on the chart, during which the intraday high/low usually takes place. Particularly impactful...

Morogan Aktualisiert 

Chaikin Money Flow is a well-known Indicator for gauging buying/selling pressure. Marc Chaikin intended this to be used on the daily timeframe to capture the behavior of price action at or near the daily close when larger-scale actors influence the market. The calculation is straight forward as described within the built-in TradingView "CMF" indicator: 1. Period...

toodegrees Aktualisiert 

This script automatically calculates and updates ICT's daily IPDA look back time intervals and their respective discount / equilibrium / premium, so you don't have to :) IPDA stands for Interbank Price Delivery Algorithm. Said algorithm appears to be referencing the past 20, 40, and 60 days intervals as points of reference to define ranges and related PD...

loxx

Implied Volatility Estimator using Black Scholes derives a estimation of implied volatility using the Black Scholes options pricing model. The Bisection algorithm is used for our purposes here. This includes the ability to adjust for dividends. Implied Volatility The implied volatility (IV) of an option contract is that value of the volatility of the...

capam

This is a combination of the Lux Algo Nadaraya-Watson Estimator and Envelope. Please note the repainting issue. In addition, I've added a plot of the actual values of the current barstate of the Nadaraya-Watson windows as they are computed (lines 92-95). It only plots values for the current data at each time update. It is interesting to compare the trajectory...

loxx

End-Pointed SSA of Normalized Price Corridor is an end-pointed SSA of normalized input price to output a smoothed normalized oscillator of price. Corridors are added in attempt to decipher larger trend direction of price. These corridor trend lines are based on highs and lows of price. Due to the SSA algorithm, this indicator takes some time load on the chat, so...

SensitiveSuit Aktualisiert 

This indicator combines Kaufman Efficiency Ratio (KER) and Price Density theories to create a unique market noise filter that is 'right on time' compared to using KER or Price Density alone. All data is normalized and merged into a single output. Additionally, this indicator provides the ability to consider background noise and background noise buoyancy to allow...