Ultimate Strategy TemplateHello Traders
As most of you know, I'm a member of the PineCoders community and I sometimes take freelance pine coding jobs for TradingView users.
Off the top of my head, users often want to:
- convert an indicator into a strategy, so as to get the backtesting statistics from TradingView
- add alerts to their indicator/strategy
- develop a generic strategy template which can be plugged into (almost) any indicator
My gift for the community today is my Ultimate Strategy Template
Step 1
Indicadores e estratégias
Intraday Volume SwingsVolume swings are defined as increasing volume and higher highs/lower lows over a minimum of three bars.
This script tracks volume swings over an intraday chart and stores the final lowest low swing / highest high swing over the course of the day. The final high swing and low swing are then plotted over the following day as possible retracement / support & resistance levels.
Intraday levels for the current day can also be displayed, which may or may not be the final swings for the day, but are
Max Drawdown Calculating Functions (Optimized)Maximum Drawdown and Maximum Relative Drawdown% calculating functions.
I needed a way to calculate the maxDD% of a serie of datas from an array (the different values of my balance account). I didn't find any builtin pinescript way to do it, so here it is.
There are 2 algorithms to calculate maxDD and relative maxDD%, one non optimized needs n*(n - 1)/2 comparisons for a collection of n datas, the other one only needs n-1 comparisons.
In the example we calculate the maxDDs of the last 10 close
Delta-RSI Oscillator StrategyDelta-RSI Oscillator Strategy:
This strategy illustrates the use of the recently published Delta-RSI Oscillator as a stand-alone indicator.
Delta-RSI represents a smoothed time derivative of the RSI, plotted as a histogram and serving as a momentum indicator.
There are three optional conditions to generate trading signals (set separately for Buy, Sell and Exit signals):
Zero-crossing : bullish when D-RSI crosses zero from negative to positive values (bearish otherwise)
Signal Line Crossin
Linear Correlation OscillatorYou don't need loops to get the rolling correlation between an input series and a linear sequence of values, this can be obtained from the normalized difference between a WMA and an SMA of the input series.
The closed-form solutions for the moving average and standard deviation of a linear sequence can be easily calculated, while the same rolling statistics for the input series can be computed using cumulative sums. All these concepts were introduced in previous indicators posts long ago.
Thi
`security()` revisited [PineCoders]NOTE
The non-repainting technique in this publication that relies on bar states is now deprecated, as we have identified inconsistencies that undermine its credibility as a universal solution. The outputs that use the technique are still available for reference in this publication. However, we do not endorse its usage. See this publication for more information about the current best practices for requesting HTF data and why they work.
█ OVERVIEW
This script presents a new function to
Nick Rypock Trailing Reverse (NRTR) [everget]This indicator was invented in 2001 by Konstantin Kopyrkin. The name "Nick Rypock" is derived from his surname reading in the opposite direction:
Kopyrkin -> Kopyr Kin -> Kin Kopyr -> Nik Rypok
The idea of the indicator is similar to the Chandelier Exit, but doesn't involve ATR component and uses a percentage instead.
A dynamic price channel is used to calculate the NRTR. The calculations involve only those prices that are included in the current trend and exclude the extremes related to th
Machine Learning: Logistic RegressionMulti-timeframe Strategy based on Logistic Regression algorithm
Description:
This strategy uses a classic machine learning algorithm that came from statistics - Logistic Regression (LR).
The first and most important thing about logistic regression is that it is not a 'Regression' but a 'Classification' algorithm. The name itself is somewhat misleading. Regression gives a continuous numeric output but most of the time we need the output in classes (i.e. categorical, discrete). For example, we
VolumeHeatmap | Experimental Version of Marketorders MatrixDear all,
I wish a Happy New Year!
The last time I tried to developing a Volume Heatmap, that the Marketorders made.
With the currently version I achieve my skills for that and I present it for everyone - some bugs I cannot solve today.
It also possible to see the POC - also the dynamic of volume developing:
The background for that is to find the pricelevel with the most volume - this is for valuetrading always the target.
If someone find it useful or have question - let me know!
Ki
Relative Volume at Time█ OVERVIEW
This indicator calculates relative volume, which is the ratio of present volume over an average of past volume.
It offers two calculation modes, both using a time reference as an anchor.
█ CONCEPTS
Calculation modes
The simplest way to calculate relative volume is by using the ratio of a bar's volume over a simple moving average of the last n volume values.
This indicator uses one of two, more subtle ways to calculate both values of
Waindrops [Makit0]█ OVERALL
Plot waindrops (custom volume profiles) on user defined periods, for each period you get high and low, it slices each period in half to get independent vwap, volume profile and the volume traded per price at each half.
It works on intraday charts only, up to 720m (12H). It can plot balanced or unbalanced waindrops, and volume profiles up to 24H sessions.
As example you can setup unbalanced periods to get independent volume profiles for the overnight and cash sessions on the futures
Stepped trailing strategy exampleThis is a stepped trailing exit example for educational purpose .
Short brief.
There are 1 stop loss and 3 profit levels.
When first tp is reached we move stop loss to break-even.
When second tp is reached we move stop loss to first tp.
When third tp is reached we exit by profit.
Moving RegressionMoving Regression is a generalization of moving average and polynomial regression.
The procedure approximates a specified number of prior data points with a polynomial function of a user-defined degree. Then, polynomial interpolation of the last data point is used to construct a Moving Regression time series.
Application:
Moving Regression allows one to smooth noise on the analyzed chart, assess momentum, confirm trends, and establish areas of support and resistance.
In addition, it can be us
Linear Regression ChannelHello Traders,
There are several nice Linear Regression Channel scripts in the Public Library. and I tried to make one with some extra features too. This one can check if the Price breaks the channel and it shows where is was broken. Also it checks the momentum of the channel and shows it's increasing/decreasing/equal in a label, shape of the label also changes. The line colors change according to direction.
using the options, you can;
- Set the Source (Close, HL2 etc)
- Set the Channel le
ProjectionGreetings Traders! I have decided to release a few scripts as open-source as I'm sure others can benefit from them and perhaps make them better.(Be sure to check my Profile for the other scripts as well: www.tradingview.com).
This one is called Projection.
Projection is based off the same Principle as some of my other scripts, such as Trade Manager() and Price Predictor(). I use a simple concept using line.new() to define some potential Price Projections. From the Settings of the Indicator, you
Let it snow... [QuantNomad]It's almost the end of 2020. If you don't have any snow outside but still you want some Christmas mood - feel free to use my indicator.
TradingView added a possibility to use up to 500 labels, so I decided to create something fun and completely useless.
Snowflakes suppose to fall nicely, but labels are not regularly updated by TradingView. If you know how to make it better - let me know )
For the best experience use Dark Theme and play the "Let it snow" song )
Merry Christmas & Happy New Year!
Machine Learning: kNN-based StrategykNN-based Strategy (FX and Crypto)
Description:
This strategy uses a classic machine learning algorithm - k Nearest Neighbours (kNN) - to let you find a prediction for the next (tomorrow's, next month's, etc.) market move. Being an unsupervised machine learning algorithm, kNN is one of the most simple learning algorithms.
To do a prediction of the next market move, the kNN algorithm uses the historic data, collected in 3 arrays - feature1, feature2 and directions, - and finds the k-nearest
Indices Sector SigmaSpikes█ OVERVIEW
“The benchmark Dow Jones Industrial Average is off nearly 300 points as of midday today...”
“So what? Is that a lot or a little? Should we care?”
-Adam H Grimes-
This screener aims to provide Bird-Eye view across sector indices, to find which sector is having significant or 'out-of-norm' move in either direction.
The significance of the move is measured based on Sigma Spikes, a method proposed by Adam H. Grimes, where Standard Deviation of returns used as a baseline.
*You can
Black-Scholes Options Pricing ModelThis is an updated version of my "Black-Scholes Model and Greeks for European Options" indicator, that i previously published. I decided to make this updated version open-source, so people can tweak and improve it.
The Black-Scholes model is a mathematical model used for pricing options. From this model you can derive the theoretical fair value of an options contract. Additionally, you can derive various risk parameters called Greeks. This indicator includes three types of data: Theoretical Opt
Screener - Mean Reversion Channel█ OVERVIEW
This is Screener script for Mean Reversion Channel Indicator
█ Description & How To Use
The screener works by scanning through up to 40 symbols and list down symbols that are currently within Overbought/Oversold Zone as defined by Mean Reversion Channel indicator.
The Overbought/Oversold Zone are further categorized and sorted by:
Strong : Indicated by "(Strong)" next to the symbol name
Normal : Indicated by the absence of "(Strong)" or "(Weak)" next to the symbol name
Weak























