This is version 2 of my ANN strategy. This version will not repaint, but requires some settings configuration.
The reason why the old version repainted, is because it used the daily OHLC/4 which kept changing, causing lower timeframes ro repaint.
You can now specify which timeframes to use. The bigger timeframe is set in the settings (e.g. 1 day). You set the...
Hi all, this script was created as a result of ANN training in all time frames of bitcoin data.
Trained data is built on Chris Moody's Sling Shot system.
CM Sling Shot System :
This system automatically generates the ANN output for all time periods.
Therefore, it has multi-time-frame ...
Hello Traders, I want to share this modified experimental script I´m testing for 1 minute charts... It´s completely based on Sirof´s ANN (Artificial Neural Networks script, Murari´s modification), all the credits are for them (I just tested and switched minor modifications to the code for scalping and alert functions since I have not studied and comprehend the ANN...
This is a different approach from my original ANN strategy.
This version does 2 ANN predictions and only when they are both in the same direction, a trade will be opened.
When either of them switches, the trade is closed.
Experimental and incomplete.
Script is open to development and will be developed.
This is just version 1.0
This script is trained according to the open, close, high and low values of the bars.
It is tried to predict the future values of opening, closing, high and low values.
A few simple codes were used to correlate expectation...
In this script, I tried to fit deep learning series to 1 command system up to the maximum point.
After selecting the ticker, select the instrument from the menu and the system will automatically turn on the appropriate ann system.
Listed instruments with alternative tickers and error rates:
WTI : West Texas Intermediate (WTICOUSD , USOIL , CL1! ) Average...
This is an implementation of an Artificial Neural Network (ANN) in pine. I made this as part of a bigger project and should be considered more as a proof of concept than a fully working indicator.
It was trained by a different program, using 3 years of bitcoin history. It's a 4 layer ANN that takes the percentual difference of the last few days as input. It was...
This script is the 2nd version of the BTC Deep Learning (ANN) system.
Created with the following indicators and tools:
Guppy Exponential Moving Averages:
Note: I was inspired by the CM Guppy Ema script.
Thank you very much to dear wroclai for his great help.
He has been a big help in the deep...
I found a very high correlation in a research-based Artificial Neural Networks.(ANN)
Trained only on daily bars with blockchain data and Bitcoin closing price.
NOTE: It does not repaint strictly during the weekly time frame. (TF = 1W)
Use only for Bitcoin .
Blockchain data can be repainted in the daily time zone according to the description time.
NOTE : Deep learning was conducted in a narrow sample set for testing purposes. So this script is Experimental .
This system is based on the following article and is inspired by an external program:
None of the artificial neural networks in Tradingview work and are not based...
Experimental NAND Perceptron based upon Python template that aims to predict NAND Gate Outputs. A Perceptron is one of the foundational building blocks of nearly all advanced Neural Network layers and models for Algo trading and Machine Learning.
The goal behind this script was threefold:
To prove and demonstrate that an ACTUAL working neural net can be...
It's the ANN, the original version with repainting issue got taken care of. The result as you can see, it's might not be that good compare to original. If anyone want to put it into a strategy, feel free. I do not recommend you to use this as a stand alone. Trade with your own risk.
Maybe trade the opposite way might do it lol
This script is an adaptation of my deep learning system for Bitcoin to fractals.
Fractal codes are not belong to me. Original :
The code for the Deep learning (ANN MACD BTC) work belongs to me. Original:
I didn't get ...
Hello, this script consists of training candlesticks with Artificial Neural Networks (ANN).
In addition to the first series, candlesticks' bodies and wicks were also introduced as training inputs.
The inputs are individually trained to find the relationship between the subsequent historical value of all candlestick values 1.(High,Low,Close,Open)
Logic is correct.
But I prefer to say experimental because the sample set is narrow. (300 columns)
6 inputs : Volume Change , Bollinger Low Band chg. , Bollinger Mid Band chg., Bollinger Up Band chg. , RSI change , MACD histogram change.
1 output : Future bar change (Historical)
Training timeframe : 15 mins (Analysis TF > 4 hours (My...