Perceptron-based strategy Description: The Learning Perceptron is the simplest possible artificial neural network (ANN), consisting of just a single neuron and capable of learning a certain class of binary classification problems. The idea behind ANNs is that by selecting good values for the weight parameters (and the bias), the ANN can model the relationships...
Hello, this system is an arbitrage tool created with ANN (Artificial Neural Networks). The main feature that makes it useful is: You don't need to sell in another market! According to these differences, you can sell it in your market. Since volume is also used in ANN formulation, it does not work on charts without volume data. It gives the most accurate results...
Hello, this system is an arbitrage tool created with ANN (Artificial Neural Networks). The main feature that makes it useful is: You don't need to sell in another market! According to these differences, you can sell it in your market. Since volume is also used in ANN formulation, it does not work on charts without volume data. It gives the most accurate results...
Hello, this system is an arbitrage tool created with ANN (Artificial Neural Networks). The main feature that makes it useful is: You don't need to sell in another market! According to these differences, you can sell it in your market. Since volume is also used in ANN formulation, it does not work on charts without volume data. It gives the most accurate results...
Hello, this system is an arbitrage tool created with ANN (Artificial Neural Networks). The main feature that makes it useful is: You don't need to sell in another market! According to these differences, you can sell it in your market. Since volume is also used in ANN formulation, it does not work on charts without volume data. It gives the most accurate results...
Hello, this system is an arbitrage tool created with ANN (Artificial Neural Networks). The main feature that makes it useful is: You don't need to sell in another market! According to these differences, you can sell it in your market. Since volume is also used in ANN formulation, it does not work on charts without volume data. It gives the most accurate results...
Hello, this system is an arbitrage tool created with ANN (Artificial Neural Networks). The main feature that makes it useful is: You don't need to sell in another market! According to these differences, you can sell it in your market. Since volume is also used in ANN formulation, it does not work on charts without volume data. It gives the most accurate results...
Hello friends, in this script, hand drawing and loyalty to terminals are minimized. ***FEATURES 1 - Rational Auto Support and Resistance Levels NOTE : For 1W TF , you can take 0.000 - 1.000 for 1 area , i didn't find to necessary to autoplot this condition because of between levels are so large and for long term. Multi time-frame In small...
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) The outputs...
WARNING: Experimental and incomplete. Script is open to development and will be developed. This is just version 1.0 STRUCTURE 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...
Hi, this is the MACD version of the ANN BTC Multi Timeframe Script. The MACD Periods were approximated to the Golden Cross values. MACD Lengths : Signal Length = 25 Fast Length = 50 Slow Length = 200 Regards.
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 feature. Artificial Neural Networks training details: Average Errors...
Relativity Adaptive Stop-Loss is a stop-loss technique that uses the Relativity Autonomous Distribution Blocks algorithm. For detailed info about Relativity Autonomous Distribution Blocks : *** Features This structure is different from standard stop-losses. The base frame is based on "Market Adaptive Stop-Loss" script. For detailed information about...
The relativity method is a method of trade inspired by the Theory of Relativity of Albert Einstein , which argues that trade is a relative concept and, according to the case it advocates, creates the values to be evaluated relatively by using various engineering methods, and converts these values to factors to ensure the highest efficiency. Many layers are...
Structure Autonomous LSTM Stop-Loss is a stop-loss technique that uses the Autonomous LSTM algorithm. For detailed info about Autonomous LSTM : *** Features This structure is different from standard stop-losses. The base frame is based on "Market Adaptive Stop-Loss" script. For detailed information about Market Adaptive Stop-Loss: This...
Structure Feature Layer 1 : Formulation : The Autonomous LSTM adaptive period equation is a multivariate equation created by averaging a table based on market weights and optimizing it for each time period, by specially Artificial Neural Networks (ANN) training and taking note of the instruments chosen from Foreign exchange instruments, Stock markets ,...
This script was created by training 20 selected macroeconomic data to construct artificial neural networks on the S&P 500 index. No technical analysis data were used. The average error rate is 0.01. In this respect, there is a strong relationship between the index and macroeconomic data. Although it affects the whole world,I personally recommend using it under...
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. Alarms are...