ANN MACD : 25 IN 1 SCRIPTIn 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 error : 0.007593
BRENT : Brent Crude Oil (BCOUSD , UKOIL , BB1! ) Average error : 0.006591
GOLD : XAUUSD , GOLD , GC1! Average error : 0.012767
SP500 : S&P 500 Index (SPX500USD , SP1!) Average error : 0.011650
EURUSD : Eurodollar (EURUSD , 6E1! , FCEU1!) Average error : 0.005500
ETHUSD : Ethereum (ETHUSD , ETHUSDT ) Average error : 0.009378
BTCUSD : Bitcoin (BTCUSD , BTCUSDT , XBTUSD , BTC1!) Average error : 0.01050
GBPUSD : British Pound (GBPUSD,6B1! , GBP1!) Average error : 0.009999
USDJPY : US Dollar / Japanese Yen (USDJPY , FCUY1!) Average error : 0.009198
USDCHF : US Dollar / Swiss Franc (USDCHF , FCUF1! ) Average error : 0.009999
USDCAD : Us Dollar / Canadian Dollar (USDCAD) Average error : 0.012162
SOYBNUSD : Soybean (SOYBNUSD , ZS1!) Average error : 0.010000
CORNUSD : Corn (ZC1! ) Average error : 0.007574
NATGASUSD : Natural Gas (NATGASUSD , NG1!) Average error : 0.010000
SUGARUSD : Sugar (SUGARUSD , SB1! ) Average error : 0.011081
WHEATUSD : Wheat (WHEATUSD , ZW1!) Average error : 0.009980
XPTUSD : Platinum (XPTUSD , PL1! ) Average error : 0.009964
XU030 : Borsa Istanbul 30 Futures ( XU030 , XU030D1! ) Average error : 0.010727
VIX : S & P 500 Volatility Index (VX1! , VIX ) Average error : 0.009999
YM : E - Mini Dow Futures (YM1! ) Average error : 0.010819
ES : S&P 500 E-Mini Futures (ES1! ) Average error : 0.010709
GAZP : Gazprom Futures (GAZP , GZ1! ) Average error : 0.008442
SSE : Shangai Stock Exchange Composite (Index ) ( 000001 ) Average error : 0.011287
XRPUSD : Ripple (XRPUSD , XRPUSDT ) Average error : 0.009803
Note 1 : Australian Dollar (AUDUSD , AUD1! , FCAU1! ) : Instrument has been removed because it has an average error rate of over 0.13.
The average error rate is 0.1850.
I didn't delete it from the menu just because there was so much request,
You can use.
Note 2 : Friends have too many requests, it took me a week in total and 1 other script that I'll share in 2 days.
Reaching these error rates is a very difficult task, and when I keep at a low learning rate, they are trained for a very long time.
If I don't see the error rate at an average low, I increase the layers and go back into a longer process.
It takes me 45 minutes per instrument to command artificial neural networks, so I'll release one more open source, and then we'll be laying 70-80 percent of the world trade volume with artificial neural networks.
Note 3 :
I would like to thank wroclai for helping me with this script.
This script is subject to MIT License on behalf of both of us.
You can review my original idea scripts from my Github page.
You can use it free but if you are going to modify it, just quote this script .
I hope it will help everyone, after 1-2 days I will share another ann script that I think is of the same importance as this, stay tuned.
Regards , Noldo .
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MAC-Z & MACD Leader signal [ChuckBanger]This is a combination of my MACD Leader script and MAC-Z with option to add Laguerre filter. The advantage of the MAC-Z over MACD is that it is a more accurate and “assumption-free” indicator that can more accurately describe how a market actually perform. But you can use this as a regular MACD indicator.
Crossovers signals
The MAC-Z line and signal line can be utilized in the same way as a stochastic oscillator, with the crossover between the two lines providing buy and sell signals. As with most crossover strategies, a buy signal comes when the shorter-term, more reactive line – in this case the MAC-Z line (blue line) crosses above the slower signal line (orange line). For example, when the MAC-Z line crosses below the signal line it provides a bearish sell signal.
Zero line crossing
The zero cross strategy is based on either of the lines crossing the zero line. If the MAC-Z crosses the zero line from below, it is a signal for a possible new uptrend, while the MAC-Z crossing from above is a signal that a new downtrend may be starting. This is special powerful if the lines has a fast up or down movement but the price action doesn't reflect that movement.
Divergences
Bearish and bullish divergences is my favorite signals. When price action and oscillators follow the same path it is called Convergences, when they don’t, it’s called a Divergence. Don't confuse the two because they have not the same meaning. But be aware that for example during consolidation or low liquidity, some small divergences between price and indicators might form, but that doesn't mean we should consider them as real divergences.
There is many different types of divergences. It is easier to show a picture then explaining it so I recommend you to check out the link below. Especially the top image. It sums this up very well
medium.com
MACD Leader
The MACD leader is only showing the crossing of MACD as a vertical line
Green vertical line = MACD Leader Bullish Cross
Red vertical line = MACD Leader Bearish Cross
MACD Leader:
MAC-Z:
More Information
cssanalytics.wordpress.com
en.wikipedia.org
drive.google.com Indicator
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Range Force Impulse The "Range Force Impulse" indicator combines 4 useful indicators into one, freeing up chart real-estate and giving the trader insight into trend health, bull/bear commitment, range and volatility all at a glance.
The indicator consists of the following:
Direction - True Range and Average True Range columns shown above and below 0 depending on direction of the period's price
-- TR (gray) shows the current period's trading volatility
-- ATR (Impulse colors, see below) shows an EMA of TR over a specified length
-- Can be used to determine stops and targets (Example: Stop loss at prev close - ATR, Target at 2x ATR)
Index - Alexander Elder's EMA of (change(close) * volume), shows crosses above 0 (green) and below 0 (red), and intermediate signals
-- Shows bull vs. bear interest/commitment/dominance
-- Elder recommends EMA length of 2 for daily chart buy/sell signals, and 13 for weekly chart bull/bear dominance & trend direction signals
-- Intermediate signals are shown above 0 when falling (salmon), or below 0 when rising (pale yellow)
System - Range columns are colored using Alexander Elder's censorship system (green: do not short, red: do not long, blue: is up to you)
-- Shows overall trend health (Macd histogram and EMA up/down changes)
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Derivative Oscillator Cu [ID: AC-P]The "AC-P" version of the Derivative Oscillator is my personal customized version of Constance Brown's Derivative Oscillator (using Everget's implementation of it as the base), with the the following modifications and additions:
VWAP Indication - option to show whether the price input option is above or below the Daily VWAP (red triangles = price input is below vwap, green triangles = price input is above vwap)
Bullish and Bearish phases from shayankm's Waddah Attar Explosion V2 () is included as indication dots (bullish = blue dots, bearish = yellow dots) below/above the Derivative Oscillator histogram
Coral Trend from Lazybear () is included as indication dots (red/green dots below/above the Derivative Oscillator histogram
Input source options for vwap, Waddah components (MACD, Bollinger Upper/Lower)
Centerline option for Coral trend, and Horizontal center option for the Derivative Oscillator with circle indication (optional - provided as option for flexibility in use with overlaying with other indicators)
This indicator is a hybrid, with a combination of leading indicators and lagging trending indicators combined into one. Specifically, a few of the other indicators I use are lacking in the momentum and trend department, and this is one of the indicators I use to address that:
VWAP provides trend information on lower timeframes from a high timeframe interval (D)
Coral Trend provides additional confirmation to VWAP trend wise, and is adjustable
Waddah Attar Explosion provides a third level of confirmation for trending moves, taking into account shorter and longer timeframes (FastEMA and SlowEMA parameters).
Script base for the Derivative Oscillator is credited to Everget () and LazyBear ().
Source attribution to Constance Brown for the Derivative Oscillator formula/indicator:
// Brown, Constance.
// Reference 1: “The Derivative Oscillator: a New Approach to an Old Problem,” Journal of Technical Analysis (Winter-Spring 1994) 45–61.
// Reference 2: Technical Analysis for the Trading Professional. New York, NY: McGraw-Hill, 1999.
Information on the Derivative Oscillator:
www.investopedia.com
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Modified Stochastic MACD Oscillator - Vitali ApirineFor all MACD enthusiasts out there, hot off the press, I present this next generation "Modified Stochastic MACD Oscillator" employing PSv4.0, originally formulated by Vitali Apirine for TASC - November 2019 Traders Tips. Just when you may have thought it was the end of the evolutionary line for MACD technology, it's not! Basically it's a NEW hybridization of a MACD and stochastic rolled into one, maintaining scale symmetry to support overbought/oversold defined levels across time frames and assets, unlike the ordinary MACD. On the ordinary MACD, this is virtually impossible to do properly, and trust me, I have tried with zero success. My less than 40 line implementation, at initial release, is a heavily modified version of the original indicator using novel techniques, surpassing not only Apirine's original intended design, but also the "contemporary MACD" provided by TV, visible on the bottom of the chart.
Utilizing the "Power of Pine", I included the maximum amount of features I could surmise in an ultra small yet powerful package. I provided an abundance of control over each feature as an attempt to create another heavenly MACD experience in an open source package, only rivaled by my "Ultimate MACD Super Pack". Configurations are displayed above in multiple scenarios that should be suitable for most traders. Of notable mention, I rescaled the oscillator more towards a zero mean unity scale, while still leaving the waveforms completely intact.
Features List Includes:
Dark Background - Easily disabled in indicator Settings->Style for "Light" charts or with Pine commenting
AND much, much more... you have the source!
For those of you who are new to Pine Script, this script also may help you understand advanced programming techniques in Pine and how they may be utilized in a most effective manner. I would like to see Tradingview become the go to platform for the best MACD indicators attainable with this contribution to the TV community. This is commonly what my dense intricate code looks like behind the veil, and if you are wondering why there is no notes, that's because the notation is in the variable naming. If you wish to contribute additional ideas, please do so below in the comments about all things MACD in Pine.
NOTICE: Copy pasting bandits who may be having nefarious thoughts, DO NOT attempt this, because this may violate Tradingview's terms, conditions and/or house rules. "WE" are always watching the TV community vigilantly for mischievous behaviors and actions that exploit well intended authors for the purpose of unscrupulously increasing brownie points in reputation scores. Hiding behind a "protected" wall may not protect you from investigation and account penalization by TV staff. Be respectful, and don't just throw a meaningless feature in there branding it as "your" gizmo. Fair enough? Alrighty then... I firmly believe in "innovating" future state-of-the-art indicators, and please contact me if you wish to do so.
The comments section below is solely just for commenting and other remarks, ideas, compliments, etc... regarding only this indicator, not others. When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section if you do have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members, I may implement more ideas when they present themselves as worthy additions. As always, "Like" it if you simply just like it with a proper thumbs up, and also return to my scripts list occasionally for additional postings. Have a profitable future everyone! Indicator
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ANN MACD Future Forecast (SPY 1D) 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:
hackernoon.com
None of the artificial neural networks in Tradingview work and are not based on completely correct logic. Unlike others in this system:
IMPORTANT NOTE: If the tangent activation function is used, the input data must also have tangent values (compared to the previous values of 1 bar).
Inputs were prepared according to this judgment.
1. The tangent function which is the activation function is written correctly. (The tangent function in the article: ActivationFunctionTanh (v) => (1 - exp (-2 * v)) / (1 + exp (-2 * v)))
2. Missing bias parts in the formulas were added.
3. The output function is taken from the next day (historical), so that the next bar can be predicted, which is the truth.
4.The forecast value of the next bar is subtracted from the current bar change and the market direction is determined.
5.When the future forecast and the current close are added together, the resulting data is called seed.
The seed carries data both from the present and from yesterday and from the future.
6.And this seed was subjected to the MACD method.
Thus, due to exponential averages, more importance will be given to recent developments and
The acceleration situations will show us the direction.
However, a short position should be taken for crossover and a long position for crossunder .
Because the predicted values work in reverse.Even though we use the same period (9,12,26) it is much faster!
7. There is no future code that can cause Repaint.
However, the color after closing should be checked.
The system is completely correct.
However, a very narrow sample was selected.
100 data: Tangent diffs ; volume change, bollinger bands values changes (Upband , Midband , Lowband) and LazyBear's Squeeze Momentum Indicator (SQZMOM_LB) change and the next bar data (historical) price change were put into the deep learning test.
IMPORTANT NOTE : The larger the sample set and the more effective dependent variables, the higher the hit rate of the deep learning test!
EDIT : This code is open source under the MIT License. If you have any improvements or corrections to suggest, please send me a pull request via the github repository github.com
Stay tuned. Best regards!
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