This script aims to look at the markets from a manufacturer's point of view. Producers or large enterprises gradually sell their goods as the price increases. Because both the amount of product and position in their hands is too high, otherwise they can not find buyers, and they have to make a safe profit. Therefore, I have shown short positions in green and long...

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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 ...

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This script is inspired by the following : Fractal Dow RSI Support and Resistance ; Moving Average Clouds ; Let's start. This command is based on a fun description of where we are. Technical analysis methods are...

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This idea has been created by the combination of the two existing systems as a result of my efforts to create a distributional buying and selling guide that has plagued my head for a long time. 1st idea is Accumulation / Distribution Line : 2nd idea is Distribution Day :...

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This function is similar to the stochastic rsi function. The only difference is that Money Flow Index is used instead of rsi. Oversold and overbought values were changed to 80 and 20. Because the MFI's overbought and overbought zones are 20 and 80. In MFI, I think that it can be more beneficial in liquid markets than stochastic rsi since volume is taken into...

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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...

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This is a fractal version of my deep learning script for SPY In addition, buy and sell conditions may appear in bar colors in green and red. You can choose from the menu if you wish. Fractal codes do not belong to me. So I didn't put any license. You can use it as you want, you can change and modify. Regards.Noldo

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This script aims to establish artificial neural networks with gold data.(4H) Details : Learning cycles: 329818 Training error: 0.012767 ( Slightly above average but negligible.) Input columns: 19 Output columns: 1 Excluded columns: 0 Training example rows: 300 Validating example rows: 0 Querying example rows: 0 Excluded example rows: 0 Duplicated example...

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This script created by training WTI 4 hour data , 7 indicators and 12 Guppy Exponential Moving Averages. Details : Learning cycles: 1 AutoSave cycles: 100 Training error: 0.007593 ( Smaller than average target ! ) Input columns: 19 Output columns: 1 Excluded columns: 0 Training example rows: 300 Validating example rows: 0 Querying example rows: 0 Excluded...

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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 ...

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This script is only the fact that the fractals are set according to my Dow Factor RSI . Bar color and background change where risk factor is high. You can turn it off or on from the menu. I'm not licensing because "fractal support and resistances" are not my own codes. The rest are my own products. For more information about the Dow Factor...

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In fact, I wrote this script for detect Bollinger and Linear Regression Bands squeeze. It's a side script. Logic works like this: Only the stagnant market probability is drawn from the Bollinger bandwidth by Dependent Variable Odd Generator and MFI index is calculated taking into account the volume. This value ranges from 0 to 100. To be sure, this value is...

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The indicator was generated by adding the Dow Factor to the Stochastic Relative Strength Index.( Stoch RSI ) The Dow factor is the effect of the correlation coefficient, which determines the relationship between volume and price, on the existing indicators. With these codes we are able to integrate them numerically into the indicators. For more information on...

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This script is trained with Ethereum (Timeframe : 4 hours ). Details : Input columns: 19 Output columns: 1 Excluded columns: 0 Training example rows: 300 Validating example rows: 0 Querying example rows: 0 Excluded example rows: 0 Duplicated example rows: 0 Input nodes connected: 19 Hidden layer 1 nodes: 8 Hidden layer 2 nodes: 1 Hidden layer 3...

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This script trained with Brent Crude Oil data including 7 basic indicators and 12 Guppy Exponential Moving Averages . Details : Learning cycles: 1 Training error: 0.006591 ( Smaller than 0.01 ! ) AutoSave cycles: 100 Input columns: 19 Output columns: 1 Excluded columns: 0 Training example rows: 300 Validating example rows: 0 Querying example...

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This script is the 2nd version of the BTC Deep Learning (ANN) system. Created with the following indicators and tools: RSI MACD MOM Bollinger Bands Guppy Exponential Moving Averages: (3,5,8,10,12,15,30,35,40,45,50,60) 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...

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This script was written to calculate the correlation coefficient (Adjusted R-Squared) for one dependent and two independent variables.(3-way) Pearson correlation method was used with exponential moving averages as the correlation calculation method. Use your source ( i use "close" generally ) as the dependent variable. Inspired by this article :...

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This script consists of converting the value of 1 gram and / or 1 ounce of gold according to the national currencies into a system with artificial neural networks. Why did I feel such a need? Even though the printed products in the market are digitally circulated, only precious metals are available in full or near full. Silver is difficult to carry because you...

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