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חפש סקריפטים עבור "ai"

ANN Forecast Stochastic Oscillator [Noldo] In this script, I tried to integrate ANN Forecast Algorithm on Stochastic Oscillator. It took me quite a while, but i guess it worth. After selecting the ticker, select the instrument from the menu and the system will automatically turn on the appropriate Forecast Stoch system. The system is trained with ANN values ​​of ANN MACD 25 in 1. The Forecast algorithm is not open-source. But I'm never remove this script. You can use it forever for free. As you can see in the presentation, although it is in the same period, it is more accurate and agile than standard Stochastic Oscillator . I think even a bar is important in trade. For those who don't see that command,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 ES : S&P 500 E-Mini Futures ( ES1! ) Average error : 0.010709 SSE : Shangai Stock Exchange Composite (Index ) ( 000001 ) Average error : 0.011287 XRPUSD : Ripple (XRPUSD , XRPUSDT ) Average error : 0.009803 Extras : - Crossover and crossunder alerts - Switchable barcolor NOTE : Australian Dollar / US Dollar ( AUDUSD ) removed due to high average error. (Average error > 0.013 ) Timeframe advice : I suggest you to use that system TF >= 1D My favorite is 1 week bars. (1W) More info about forecast series (My last forecast example ) : Special thanks : Special thanks to dear wroclai for his great effort . NOTE : I decided to build Autonomous LSTM on Stochastic Oscillator , i think Stochastic Oscillator one of the best and it contains naturally high-lows.
אינדיקטור Pine Script®
מאת ‎Noldo‎
2
ANN Forecast MACD [Noldo] In this script, I tried to convert ANN MACD to MACD Forecast. It took me quite a while, but it was fun. After selecting the ticker, select the instrument from the menu and the system will automatically turn on the appropriate Forecast MACD system. The system is trained with ANN values ​​of ANN MACD 25 in 1. But because the system is overloaded, only the most popular instruments are left. The others were unfortunately eliminated. The only difference is that it was built on the forecast algorithm of my own creation. The Forecast algorithm is not open-source. The codes are a nice framework for some of my most valuable systems about ANN . (Working on them. ) But I'm never remove this script. You can use it forever for free. As you can see in the presentation, although it is in the same period, it is more accurate and agile than normal MACD. I think even a bar is important in trade. For those who don't see that command,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 ES : S&P 500 E-Mini Futures ( ES1! ) Average error : 0.010709 SSE : Shangai Stock Exchange Composite (Index ) ( 000001 ) Average error : 0.011287 XRPUSD : Ripple (XRPUSD , XRPUSDT ) Average error : 0.009803 Extras : - Crossover and crossunder alerts - Switchable barcolor NOTE : Australian Dollar / US Dollar (AUDUSD ) removed due to high average error. (Average error > 0.013 ) Timeframe advice : I suggest you to use that system TF >= 1D My favorite is 1 week bars. (1W) Info about forecast series : www.sciencedirect.com Special thanks : Special thanks to dear wroclai for his great effort .
אינדיקטור Pine Script®
מאת ‎Noldo‎
ANN GOLD WORLDWIDE 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 have to buy too much because the unit price is low. Platinum is very difficult to find and used in industry. Gold is both practical and has less volatile movements, even more balanced than dollars, to preserve the value of money. Uncertainty and tensions benefit gold. Obviously this is my own opinion and is not worth the investment advice: If there is to be an economic crisis, it is obvious that the dollar will rise against the emerging currencies, but I expect a crisis where gold and the dollar will rise together. The world has been on a mercantilist line more than ever! Spot gold can be bought from goldsmiths and banks. I think this command will benefit people everywhere but in economies that are subject to developing currencies. Now we can look at the details: All you have to do is load the appropriate chart and select it from the menu. Thus, the system will adjust itself to that instrument. MENU and Tickers : "GOLD" : XAUUSD or GC1! or GOLD (Average error = 0.0128) "GOLDSILVER" : XAUXAG or GOLDSILVER (Gold Silver Ratio ) ( Average error : 0.01 ) "GOLD CZK " : XAUUSD/USDCZK ( 1 Ounce Gold Czech Koruna) ( Average error = 0.010879 ) "GOLD NZD " : XAUUSD/USDNZD ( 1 Ounce Gold New Zealand Dollar ) (Average error = 0.010736 ) "GOLD EURO" : XAUUSD/USDEUR ( 1 Ounce Gold Euro) ( Average error = 0.010000 ) "GOLD HUF " : XAUUSD/USDHUF ( 1 Ounce Gold Hungarian Forint ) ( Average error = 0.010000 ) "GOLD INR " : XAUUSD/USDINR (1 Ounce Gold Indian Rupee ) (Average error = 0.010458 ) "GOLD DKK" : XAUUSD/USDDKK (1 Ounce Gold Danish Krone) (Average error = 0.010671 ) "GOLD CHF" : XAUUSD/USDCHF (1 Ounce Gold Swiss Franc ) (Average error = 0.010967 ) "GOLD CNH" : XAUUSD/USDCNH(1 Ounce Gold Offshore RMB) (Average error = 0.012017 ) "GOLD MXN" : XAUUSD/USDMXN(1 Ounce Gold Mexican Peso) (Average error = 0.010000 ) "GOLD PLN" : XAUUSD/USDPLN (1 Ounce Gold Polish Zloty ) (Average error = 0.010173 ) "GOLD ZAR" : XAUUSD/USDZAR (1 Ounce Gold South African Rand (Average error = 0.010484 ) "GOLD NOK" : XAUUSD/USDNOK (1 Ounce Gold Norwegian Krone ) (Average error = 0.010842 ) "GOLD TRY" : XAUUSD/USDTRY (1 Ounce Gold Turkish Lira ) (Average error = 0.010000 ) "GOLD THB" : XAUUSD/USDTHB (1 Ounce Gold Thai Baht ) (Average error = 0.011747 ) Important note : XAUUSD/USDCUR = 1 Ounce Gold , XAUUSD/31.1*USDCUR = 1 gram Gold (CUR = Currency ) If you want to physically hold it, look gram value, because as far as I know, all goldsmiths and jewelleries in the world are selling gram gold. I think that this command is the most useful and the concrete one that I have ever written. I end my sentences with this anonymous proverb : "Even if gold falls into the mud, it's still gold ! "
אינדיקטור Pine Script®
מאת ‎Noldo‎
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 .
אינדיקטור Pine Script®
מאת ‎Noldo‎
21
ANN MACD WTI (West Texas Intermediate) 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 example rows: 0 Duplicated example rows: 0 Input nodes connected: 19 Hidden layer 1 nodes: 2 Hidden layer 2 nodes: 6 Hidden layer 3 nodes: 0 Output nodes: 1 Learning rate: 0.7000 Momentum: 0.8000 Target error: 0.0100 Special thanks to wroclai for his great effort. Deep learning series will continue. But I need to rest my eyes a little :) Stay tuned ! Regards.
אינדיקטור Pine Script®
מאת ‎Noldo‎
1
ANN MACD BRENT CRUDE OIL (UKOIL) 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 rows: 0 Excluded example rows: 0 Duplicated example rows: 0 Input nodes connected: 19 Hidden layer 1 nodes: 2 Hidden layer 2 nodes: 6 Hidden layer 3 nodes: 0 Output nodes: 1 Learning rate: 0.7000 Momentum: 0.8000 Target error: 0.0100 Note : Alerts added . Special thanks to wroclai for his great effort. Deep learning series will continue , stay tuned ! Regards.
אינדיקטור Pine Script®
מאת ‎Noldo‎
4
ANN MACD GOLD (XAUUSD)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 rows: 0 Input nodes connected: 19 Hidden layer 1 nodes: 5 Hidden layer 2 nodes: 1 Hidden layer 3 nodes: 0 Output nodes: 1 Learning rate: 0.7000 Momentum: 0.8000 Target error: 0.0100 NOTE : Alarms added. And special thanks to dear wroclai for his great effort. Deep learning series will continue . Stay tuned! Regards.
אינדיקטור Pine Script®
מאת ‎Noldo‎
ANN MACD S&P 500 This script is formed by training the S & P 500 Index with various indicators. Details : Learning cycles: 78089 AutoSave cycles: 100 Training error: 0.011650 (Far less than the target, but acceptable.) 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: 2 Hidden layer 2 nodes: 1 Hidden layer 3 nodes: 0 Output nodes: 1 Learning rate: 0.7000 Momentum: 0.8000 Target error: 0.0100 Note : Thanks for dear wroclai for his great effort . Deep learning series will continue . Stay tuned! Regards.
אינדיקטור Pine Script®
מאת ‎Noldo‎
1
ANN MACD EURUSD (FX) Hello , this script is trained with eurusd 4-hour data. (550 columns) Details : Learning cycles: 8327 AutoSave cycles: 100 Training error: 0.005500 ( That's a very good error coefficient.) Input columns: 19 Output columns: 1 Excluded columns: 0 Training example rows: 550 Validating example rows: 0 Querying example rows: 0 Excluded example rows: 0 Duplicated example rows: 0 Input nodes connected: 19 Hidden layer 1 nodes: 2 Hidden layer 2 nodes: 5 Hidden layer 3 nodes: 0 Output nodes: 1 Learning rate: 0.6000 Momentum: 0.8000 Target error: 0.0055 NOTE : Use with EURUSD only. Alarms added. Thanks dear wroclai for his great effort. Deep learning series will continue ! Stay tuned. Regards , Noldo .
אינדיקטור Pine Script®
מאת ‎Noldo‎
4
ANN MACD ETHEREUM 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 nodes: 0 Output nodes: 1 Learning rate: 0.7000 Momentum: 0.8000 Training error: 0.009378 ( That's a very good error coefficient. ) Many thanks to wroclai for help. Deep learning series will continue!
אינדיקטור Pine Script®
מאת ‎Noldo‎
5
ANN MACD BTC v2.0 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 learning series. That's why the licenses in this series are for both of us. I'm sharing these series and thats the first. Stay tuned and regards! Note : Alerts added.
אינדיקטור Pine Script®
מאת ‎Noldo‎
13
BTC FRACTAL ANN S-R LEVELS (Fixed ANN MACD) 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 license for this script because the fractal codes don't belong to me.You can use it for any purpose. This command can be a very helpful guide.You can use that fractals with your indicators for Bitcoin. You can also combine these levels with ANN - MACD - BTC script. Scripts about Artificial Neural Networks (ANN) will continue soon ! I hope it will help us to gain insight into technical analysis. Best regards. Noldo.
אינדיקטור Pine Script®
מאת ‎Noldo‎
Sigwo Tech AI - 3m TF BitMex BotI’ve made a ROI of 600%+ (and counting) in 91 days using this bot and the ‘close when large’ method described below. First, some stuff. There are zero guarantees of the bot working well for you like it does me. Some is ‘guts’ and some is ‘damn this bot rocks’. I’m always open to help with advice. I will not listen to whining or otherwise unsavory words. This bot doesn’t substitute learning how to trade. Get a load of this Mango Sauce, it rocks! You will need a few things: TradingView account (free account will not work, but be Pro, recommend Pro+) You will need an AutoView subscription (coupon: 5CPLM-4PY3Q-EEWJN) You'll need a Bitmex or a Deribit account (bitmex - www.bitmex.com) VPN (always a good idea when connecting to exchanges) You need to email info@gojupiter.tech to gain access to the indicator. In the email, we need your TradingView username Setup instructions: Add the indicator to your 3m TF chart (not tuned for other timeframes) Right click on an area of the 'Study STAI' indicator, click "Add alert on 'Study STAI'" In the box that pops up, select the drop down "Short" and select the box 'Once per bar close' In the 'Message' box, copy paste the following (no quotes): "Short! a=bitmexlive e=bitmex s=xbtusd b=short q=1000 l=10 t=limit" l=leverage q=quantity of contracts in $ amount Do the same procedure above to make 'Long' alert, but insert the below in the new 'Message' box. "Long! a=bitmexlive e=bitmex s=xbtusd b=long q=1000 l=10 t=limit" Save the alert. You should now see the alerts in the left side of your browser and a green dot next to them. You are live and ready to rock! Notes: You must have a browser open for the orders to fire! You will still receive alerts, but the orders will NOT fire unless a browser is open! Nothing is infallible. Bots should be checked 3-4 times a day to ensure orders are executing properly and to check if the orders are 'lopsided'. Alerts for price support/resistance should be set by you and checked when the alert comes in. This usually means you have a chance to close a nice large position in profit manually….yes there are some manual interactions you can take with the bot when necessary but it happens maybe 3-4 times a WEEK. This could be more, depending on the price action of the market. Example: Overnight, XBTUSD market was very sideways in a generally upward move. When I woke up, the bot had made a little money (0.0025 or so) but also accumulated a $34,000 short. The short was well positioned (9616) and the market was hovering around 9575. I closed $10,000 manually at 9575 and left the rest until we broke downward to 9540. This brought the bot back into a ‘neutral’ position to alleviate lopsidedness,or being to large in one direction or another. The point of this bot is NOT to make LARGE amounts on every trade….The point of this bot is to be profitable in little chunks by being quick and providing liquidity (0.025% rebate for limit order). Do NOT try to ‘pile on orders’ in the direction your bot is traveling! You WILL eventually lose big. I’ve done it twice, and then I stopped doing that. Over $30,000 lost on those 2 moves because I got greedy and tried to override the bot. (I’ve recovered those losses by letting the bot do its thing) CLOSE manually do NOT OPEN manually! Let the bot run 24x7 and leave the orders that are not hit alone...price action will eventually come back and pick it up. *I reserve the right to remove your access if you are unsavory or I find you conducting unauthorized sharing. You will be warned at LEAST once before any punitive measures are taken.*
אינדיקטור Pine Script®
מאת ‎ILLmattic‎
ANN MACD (BTC) Logic is correct. But I prefer to say experimental because the sample set is narrow. (300 columns) Let's start: 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 opinion)) Learning cycles : 337 Training error: 0.009999 Input columns: 6 Output columns: 1 Excluded columns: 0 Grid Training example rows: 301 Validating example rows: 0 Querying example rows: 0 Excluded example rows: 0 Duplicated example rows: 0 Network Input nodes connected: 6 Hidden layer 1 nodes: 8 Hidden layer 2 nodes: 0 Hidden layer 3 nodes: 0 Output nodes: 1 Learning rate : 0.6 Momentum : 0.8 More info : 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
אינדיקטור Pine Script®
מאת ‎Noldo‎
13
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!
אינדיקטור Pine Script®
מאת ‎Noldo‎
15
RSI VOL StochasticFor a friend's request, a way to switch from basic rsi , volume or stochastic . Even if it's possible to display multiple indicators at the same time it's not really usefull, the main use here is to use one most of the time and if needed switch between them. By the way, I'm using only RSI 95% of the time and don't need more indicator but sometimes we juste need to check quickly something on volume or stochastic , so this script can be usefull for those type of usecase without losing display capabilities. Pour la demande d'un ami, un moyen de passer de rsi , volume ou stochastique de base. Même s'il est possible d'afficher plusieurs indicateurs en même temps, ce n'est pas vraiment utile, l'utilisation principale ici est d'en utiliser un la plupart du temps et si nécessaire de basculer entre eux. D'ailleurs, je n'utilise que du RSI 95% du temps et je n'ai pas besoin de plus d'indicateur mais parfois nous avons juste besoin de vérifier rapidement quelque chose sur le volume ou la stochastique, donc ce script peut être utile pour ces types d'utilisation sans perdre les capacités d'affichage.
אינדיקטור Pine Script®
מאת ‎duftux‎
3
Ichimoku trendfollowingIchimoku più che un indicatore potrebbe essere considerato un sistema di trading. Ho quindi voluto implementare una strategia che utilizzasse soltanto i segnali che offre per l'ingresso ed uscita per verificarne l'efficacia nel lungo periodo su i diversi strumenti. I segnali che offre sono i seguenti: 1) il prezzo taglia la tenkan (segnale molto debole per un ingresso) 2) il prezzo taglia la kijun (possibile trade in controtrend fino alla kumo) 3) tenkan incrocia la linea kijun 4) uscita della linea chikou span dal prezzo: se la linea è sotto il prezzo valutare solo short, se sopra valutare solo long, se sopra il prezzo si è in correzione ed è meglio restare flat 5) prezzo entra dentro la kumo. (Non si entra in posizione dentro la kuno) 6) la kumo cambia colore (conferma direzione del trend in atto) 7) uscita dal prezzo dalla kumo 8) uscita della tenkan dalla kumo (conferma situazione) 9) uscita kijun dalla kumo (conferma situazione) 10) trend in corso con chiusura del prezzo fra la chikou span da una parte, tenkan, kijun e kumo dall'altra. Ichimoku è solitamente utilizzato come sistema trendfollowing, quindi considererò solo i segenti possibili ingressi: 1) breakout kumo (inizio trend di lungo periodo) 2) pullback (inizio trend di medio periodo o ripresa trend dopo correzione profonda con pullback su kumo) le uscite tradizionali sono: 1) prezzo chiude sotto la kijun 2) SL inizialmente su minimo candela che rompe il livello Filtri da applicare ai singoli ingressi: Filtro long: Close>kumo and chikou span > prezzo corrispondente and Filtro short Close
אסטרטגיית Pine Script®
מאת ‎Enry78‎