Jarvis for SPX500 (S&P500) by Goldman ArmiThis strategy is called JARVIS after the famous AI from the MARVEL movie Iron Man.
It is an improvement of the Copernicus Strategy to get better results. More exactly I was aiming to obtain over 50% of the number of trades profitable, for every pair provided (see the title).
The strategy tester does not include leverage trading, please keep that in mind and feel free to change the parameters of the volume for the position in the strategy settings to see the closer to reality results.
The setup for this strategy is more complicated because it includes 3 averages, all of them calculated with prices obtain by various formulas for each one of them and I call this: Sophisticated Moving Average (Copyright). Each of the 3 averages are applied to different timeframes and have different values. All of these parameters are configured separately for every trading pair and this is why I am publishing them separately.
There are not a lot of trades in this strategy, the average is around 3/month and the backtest you see here is from January 2020 until the time of this publication.
You can use the Tradingview alert services to configure this to execute (webhook) on your exchange/broker, because strategies have now the possibility to send alerts.
For other questions please send me a message.
Cerca negli script per "ai"
Jarvis for EURUSD by Goldman ArmiThis strategy is called JARVIS after the famous AI from the MARVEL movie Iron Man.
It is an improvement of the Copernicus Strategy to get better results. More exactly I was aiming to obtain over 50% of the number of trades profitable, for every pair provided (see the title).
The strategy tester does not include leverage trading, please keep that in mind and feel free to change the parameters of the volume for the position in the strategy settings to see the closer to reality results.
The setup for this strategy is more complicated because it includes 3 averages, all of them calculated with prices obtain by various formulas for each one of them and I call this: Sophisticated Moving Average (Copyright). Each of the 3 averages are applied to different timeframes and have different values. All of these parameters are configured separately for every trading pair and this is why I am publishing them separately.
There are not a lot of trades in this strategy, the average is around 3/month for EURUSD and the result you see in this strategy is from January 2020 to this date of publishing.
You can use the Tradingview alert services to configure this to execute (webhook) on your exchange/broker, because strategies have now the possibility to send alerts.
For other questions please send me a message.
Jarvis for ETHUSD by Goldman ArmiThis strategy is called JARVIS after the famous AI from the MARVEL movie Iron Man.
It is an improvement of the Copernicus Strategy to get better results. More exactly I was aiming to obtain over 50% of the number of trades profitable, for every pair provided (see the title).
The strategy tester does not include leverage trading, please keep that in mind and feel free to change the parameters of the volume for the position in the strategy settings to see the closer to reality results.
The setup for this strategy is more complicated because it includes 3 averages, all of them calculated with prices obtain by various formulas for each one of them and I call this: Sophisticated Moving Average (Copyright). Each of the 3 averages are applied to different timeframes and have different values. All of these parameters are configured separately for every trading pair and this is why I am publishing them separately.
There are not a lot of trades in this strategy, the average is around 1/month.
You can use the Tradingview alert services to configure this to execute (webhook) on your exchange/broker, because strategies have now the possibility to send alerts.
For other questions please send me a message.
Jarvis for BTCUSD by Armi GoldmanThis strategy is called JARVIS after the famous AI from the MARVEL movie Iron Man.
It is an improvement of the Copernicus Strategy to get better results. More exactly I was aiming to obtain over 50% of the number of trades profitable, for every pair provided (see the title).
The strategy tester does not include leverage trading, please keep that in mind and feel free to change the parameters of the volume for the position in the strategy settings to see the closer to reality results.
The setup for this strategy is more complicated because it includes 3 averages, all of them calculated with prices obtain by various formulas for each one of them and I call this: Sophisticated Moving Average (Copyright). Each of the 3 averages are applied to different timeframes and have different values. All of these parameters are configured separately for every trading pair and this is why I am publishing them separately.
There are not a lot of trades in this strategy, the average is around 1/month.
You can use the Tradingview alert services to configure this to execute (webhook) on your exchange/broker, because strategies have now the possibility to send alerts.
For other questions please send me a message.
Relativity BULLS FOREX 50X 4H Algorithm
Hello, this script is the correction of my bull script related to Forex. (Bull market)
Old script :
4H was chosen as the time frame.
Thus, larger pips are at our disposal and we benefit more from the hedge effect of the leverage.
Commissions per trade have been removed to get more realistic commissions.
Because every wrong trade deletes all the 1% position size.
(with leverage effect)
Use the link below to obtain access to this indicator :
Pixiu AI - Support and ResistanceSupport and Resistance prices are the previous points of highs and lows in the price. The market tends to stick around in price regions and directional trends. Using these price points one can wait and take the following decisions:
- when the price reaches the support point, they can take a long position if they observe the price staying in the price range and make profits from till it gains back up to the resistance point. (and vice-versa)
- when the price breaks the support/resistance (S&R) points and continues in that direction in addition to high volumes supporting it, people can take a bullish trade
- when the price breaks the S&R point, traders can wait for the price to return to the S&R point to make a final decision of whether it wants to go up or not. A price tested strategy is considered stronger than just price breaks
We at The Pixiu want to help you in your daily trade, and therefore we present you an auto Support and Resistance indicator that also highlights the points of crossovers to the users in the live market. Use this for assistance while trading and share your feedback with us.
There are 3 parameters for the indicator:
- Short-range S&R
- Mid-range S&R
- Identify the point of S&R testing (when price crosses over and returns back in the range)
KBL PLAY-ZONE PLOTTER - MCX CRUDE OIL
► How To Use This Indicator ?
• New Intraday Trading Levels Will Be Generated At 09:30 AM (UTC +05:30)
• Buy If 5 Minutes Candle Close Above '' BreakOut Buy Here '' Level.
• Sell If 5 Minutes Candle Close Below '' BreakOut Sell Here '' Level.
• Book Profits At Breakout Buy or BreakOut Sell Targets.
• If 1st Call Target Hit , Then Do Not Trade More On That Day.
• If 1st Call StopLoss Hit , Then Only Trade On 2nd Call.
PM us to obtain access.
LuxAlgo® - Signals & Overlays™Signals & Overlays™ is an all-in-one toolkit made up of more than 20+ features primarily focused on generating useful signals & overlays to fulfill any trader's technical analysis needs with relevant data.
Created directly with TradingView Pine Script Wizard, alexgrover - this is a first of its kind comprehensive script made fully from the ground-up to provide an all-in-one solution for traders.
Signals & Overlays™ can be used alongside other forms of technical analysis, however, it was also designed to be used as a stand-alone toolkit that can fit any trading style. Every feature included considers how not all technical indicators fit every market condition.
The ideal way to utilize this indicator is to explore through all of the features over time, pick & choose 2-3 features best suit your style of trading, and stick with those to create your own unique LuxAlgo trading strategy.
Providing Endless Possibilities Catering To All Trading Styles
Signals & Overlays™ works in any market for discretionary analysis & includes many features:
Beginner-friendly Presets to enable multiple features at once within one-click (locks other settings when enabled).
Confirmation Signals: Normal & Strong signals to help traders confirm trends (not to be followed blindly).
Contrarian Signals: Normal & Strong to help traders spot reversals (also not to be followed blindly).
Exit Signals: "x" marks that apply for both Confirmation Signals & Contrarian Signals to suggest potential take-profit areas during signals.
Signal Optimization Methods: Sensitivity / Agility, optimal sensitvity parameter displayed on dashboard, and Autopilot (dynamic setting).
Candle Coloring: Purple/Green/Red to visualize trends developing between 'normal' & 'strong'.
6+ Indicator Overlays that helps traders visualize trends, find reversal points, and get dynamic areas of support & resistance.
Filters within "Presets / Filters" to allow users to filter Confirmation Signals with Indicator Overlays & other metrics within LuxAlgo Premium.
A complete dashboard with highly actionable metrics such as Trend Strength, current volatility, volume analysis, etc.
Advanced Settings to display customizable TP/SL points, further enhance signal optimizations, & customize dashboard size/location.
Full Any Alert() Function Call Conditions included
Highly useful Filtered Alert Creator section to generate custom filtered signal alerts with Indicator Overlays & other metrics.
+ more. (Check the changelog below for current features)
🔶 USAGE
Basic Signals & Candle Coloring Demonstration
In the image below we can see a basic example of how these 2 core components function within Signals & Overlays™.
As explained earlier, the Confirmation Signals can generate normal labels as well as strong labels marked by the "+" symbol. These signals are directly correlated to the candle coloring in order to see the development of trends & navigate through different market conditions as best as possible.
The candle coloring comes especially in handy when using signals, whereas a positive sign for an uptrend to occur rather than a fake-out is to see candles consistently hold as green. This indicates the market is strong & is likely to continue an uptrend. Vice versa for sell signals & the candles holding as red.
Normal Confirmation Signals often occur with smaller trends, retracements within larger trends, or just as signals a user may not want to trust as much directly. In order to enhance your ability to trust signals more & find more actionable use cases out of LuxAlgo Premium, we recommend going to the settings menu of the indicator & activating some indicator overlays. These are covered in the next section.
🔶 INDICATOR OVERLAYS W/ SIGNALS
In the image below we have enabled the "Smart Trail" & "Reversal Zones" indicator overlays from within the settings of Signals & Overlays™. By using these overlays alongside the signals & candle coloring, users can find more confluence to create trading strategies or plans.
The Smart Trail provides an excellent area of dynamic support/resistance for traders, as well as an additional confluence for general trend following purposes alongside the Confirmation Signals.
The Reversal Zones are particularly useful for areas to immediately take profit on trades, however, during strong trends price may continue rising or falling through the Reversal Zones which makes a good use case of waiting for price to first exit the Reversal Zones before considering the next move in the market.
In the next image below we can see the market is generally ranging, making it more complicated for the standard Confirmation signals to perform greatly as they are meant to excel for finding developing trends. This image displays the Contrarian Signal Mode, Contrarian Gradient candle coloring, as well as the Trend Catcher Indicator Overlay to help us trade these market conditions specifically.
Paired with the Contrarian based candle coloring, these signals can be helpful to a trader looking to find confluent reversals. You can also see the Trend Catcher indicator overlay gives a hybrid approach to analyzing the underlying trend within this price action.
Some traders naturally are Contrarian in nature, so this signal mode may be of primary interest to them, however, most of the use cases will come from the standard Confirmation sigals paired with other overlays or regular technical analysis.
🔶 SIGNALS WITH AI CLASSIFICATION
Our toolkit is able to classify generated signals using a simple machine learning algorithm into four levels. These levels indicate if a signal will most likely indicate a trend continuation (level 3/4) or a reversal/retracement (1/2).
Users are able to filter out certain signals depending on their classification, only keeping signals of interest and potential filtering out false signals.
🔶 FILTERS
In the next image below we can see after resetting the Signals & Overlays™ indicator to it's defaults, we have simply enabled the "Smart Trail Filter" from within the Presets / Filters section at the top of the settings.
By doing this, we can filter out signals that are not aligned with the Smart Trail indicator overlay, which gives direct confluence in every signal that generates on the chart.
Applying filters to signals do not necessarily make them instantly "better" than using the indicator without them. Between every technical indicator, there are trade-offs. So while we can now use Confirmation signals & retests of the Smart Trail as great optimal entry points, at times the indicator may miss signals or retests of the Smart Trail.
The same is seen below with another one of the Filters within Signals & Overlays™; Trend Strength Filter.
We can see the indicator is using the Trend Strength metric to only generate Confirmation Signals that align with a trending market which can clean up a lot of noise during retracements as well as ranging markets.
However, the trade-off present now with this filter enabled is that at times the indicator will miss trends, in which we'd still need to be aware of the price action, candle coloring, or other forms of analysis to give us indications the market may start a new trend opposed to just relying on signals directly.
🔶 CONCLUSION
We believe that success lies in the association of the user with the indicator, opposed to many traders who have the perspective that the indicator itself can make them become profitable. The reality is much more complicated than that.
The aim is to provide an indicator comprehensive, customizable, and intuitive enough that any trader can be led to understand this truth and develop an actionable perspective of technical indicators as support tools for decision making.
You can see the Author's instructions below to get instant access to this indicator & our LuxAlgo Premium indicator suite.
🔶 RISK DISCLAIMER
Trading is risky & most day traders lose money. All content, tools, scripts, articles, & education provided by LuxAlgo are purely for informational & educational purposes only. Past performance does not guarantee future results.
Gridbot visualizor and advisor V1.0This scripts visualizes the buy and sell levels as used by gridbots.
It also gives you some recommended settings if you want to use manual mode instead of AI mode, based on timeframe, target grid size etc.
The inputs should be pretty much self explanatory, if you have any questions feel free to drop me a message below.
Have fun, be healthy and profitable!
Jurgenvv ( aka CryptoJur)
This script uses some code or ideas from:
ck-3commas-GRID-bot-Visualisation by ChrisKaye.
How to make the status box to the right was learned from Daveatt his scripts.
The 100% - Bitcoin BeatsHello, Hello, Hello,
And welcome back, to Bitcoin Beats.
This is a strategy & Indicator that's essentially supertrend. However, we have used machine learning and AI to determine the best parameters in order to never lose money.
Yes you read that correctly, this Algo has NEVER lost a trade. All trades have come through successfully based on % moves.
A 'Supertrend' indicator is one, which can give you precise buy or sell signal in a trending market. ... The buy and sell signals are generated when the indicator starts plotting either on top of the closing price or below the closing price.
This strategy finds the best exit point without ever having to take a loss. This means you can use Cross leverage if the risk management is good enough and not worry about your account getting REKT as the trade always comes through in the end.
Trade at your own risk.
Thanks you and Goodbye, From Bitcoin Beats.
Candlesticks ANN for Stock Markets TF : 1WHello, 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 are adapted to the current values with a simple forecast code.
Once the OHLC value is found, the exponential moving averages of 5 and 20 periods are used.
Reminder : OHLC = (Open + High + Close + Low ) / 4
First version :
Script is designed for S&P 500 Indices,Funds,ETFs, especially S&P 500 Stocks,and for all liquid Stocks all around the World.
NOTE: This script is only suitable for 1W time-frame for Stocks.
The average training error rates are less than 5 per thousand for each candlestick variable. (Average Error < 0.005 )
I've just finished it and haven't tested it in detail.
So let's use it carefully as a supporter.
Best regards !
ANN Next Coming Candlestick Forecast SPX 1D v1.0WARNING:
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 with current values. (You can see between line 129 - 159 )
Therefore, they are all individually trained.
You can see in functions.
The average training error of each variable is less than 0.011.
NOTE :
This script is designed for experimental use on S & P 500 and connected instruments only on 1-day bars.
The Plotcandle function is inspired by the following script of alexgrover :
Since we estimate the next values, our error rates should be much lower for all candlestick values. This is just first version to show logic.
I will continue to look for other variables to reach average error = 0.001 - 0.005 for each candlestick status.
Feel free to use and improve , this is open-source.
Best regards.
ANN BTC MTF Golden Cross Period MACDHi, 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.
ANN BTC MTF CM Sling Shot SystemHi 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
1 minute = 0.005570
3 minutes = 0.006674
5 minutes = 0.007067
15 minutes = 0.010000
30 minutes = 0.009398
45 minutes = 0.010000
1 Hour = 0.006848
2 Hours = 0.006901
3 Hours = 0.009608
4 Hours = 0.009774
1 Day = 0.010000
1 Week = 0.010000
The results look good (All Average Error <= 0.01 ), the Sling Shot Method is also good, but you can also refer to historically slower period averages to filter these arrows a bit more. I leave the decision to you.
Best regards.
Relativity Adaptive Stop-LossRelativity 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 Market Adaptive Stop-Loss:
This script uses the Relativity Autonomous Distribution Blocks as cross method.
Tradeable / Non Tradeable Region Detector :
This script separates tradeable and non-tradeable regions with a coloring method.
Plotting Rules :
* Maroon : Uncorfirmed Short Positions
* Teal : Unconfirmed Long Positions
* Green : Confirmed Long Positions
* Red : Confirmed Short Positions
This script can be used in only 1W time frame. (TF = 1W )
Does not repaint on 1W and larger time frames. ( Source = close )
*** Settings :
The only option here is the ATR multiplier.
The default use value of this ATR multiplier, which is of the standard of stop-loss, is 2.You can set it from the menu.
No alert is set.
Because the positive and negative regions are the same as Relativity Autonomous Distribution Blocks.
Since the traders can trade according to the support and resistance outside the definite regions, the unnecessary signal was confused and the alerts were removed.
*** USAGE
The Stop-Loss indicator can slide on the chart.
So you have to make sure you put it in right place.
Using this script in a new pane below will radically solve slip problems.
Stop-Loss values do not slip definitely.The values can select from the alignment.
NOTE :
Some structures (Market Adaptive Stop-Loss) and design in this script are inspired by everget's Chandelier Exit script :
Best regards.
Relativity Autonomous Distribution Blocks
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 common with Autonomous LSTM.
For more information about Autonomous LSTM :
But there are additional layers that are much higher than that.
These systems use COT (Commitment of Traders) data positively in trade and significantly increase the hit rate compared to conventional methods.
And in all traded instruments, it decides the degree of scoring by linking with global markets.
The more liquidity of the selected parities, the higher the success rate, the higher liquidity in the markets.
***STRUCTURE
Feature Layer 1 : Formulation : Common Layer with Autonomous LSTM
Feature Layer 2: Forecast Algorithm : Common Layer with Autonomous LSTM
Feature Layer 3 : Composite of Two Layers : Adaptive Period (Length) Algorithm : Common Layer with Autonomous LSTM
Feature Layer 4 : High - Low Selection Algorithm : Common Layer with Autonomous LSTM
Feature Layer 5 : Volume (Ticker ) - Open Interest (Global Market) Power Factor according to Global Markets and Related instrument (Ticker)
Feature Layer 6 : Quantum Equations including COT Commercial Positions (Communicate with layer 5)
Feature Layer 7 : World's Price/Earnings Ratio (This layer is automatically added to layer 6 as a factor each week.)
Feature Layer 8 : Distribution Blocks : The design of script as a histogram, with distributional buying and selling points and positive/negative zone coloring, with alerts.
Uses the relativity algorithm. This will contribute not only to leveraged transactions but also to portfolio management and will give a more realistic perspective.
Informs the trading points within the regions.
In this way, it allows for gradual buying and selling and reduces the risk to a much lower level.
These feature allows a difference perspective especially for traders who act with portfolio logic and / or add regular income.
The educational idea I shared in order to set an example for this logic:
***SETTINGS
Menu
1. * Market Type
The menu is divided into 5 different algorithms and covers all instruments around the world.
For example:
Futures : XAUUSD , GC , XAGUSD , SUGARUSD , SB1! , XAGUSD
Stocks : All Stocks and Modified Parities (Example : AAPL/EUR , XAU/XAG , AAPL , MT , BAC)
Forex Excluding USD/X : CHFUSD , EURUSD , EURJPY , AUDNZD
Forex USD/X : USDJPY , USDTRY , USDMXN
Crypto : BTCUSD , ETHUSD , ADAUSD or BTCETH , ETHBTC
2. * Barcolor
Barcolor Plotting Rules : On / off section with these rules when barcolor on :
Orange : Distributional Sell Signal ( Not Short )
Blue : Distributinaol Buy Signal
*** FEATURES
Indicator Features :
Red Background with Cross : Short Signal
Green Background with Cross : Buy Signal
Blue Histogram Color : Distributional Buy Signal
Orange Histogram Color : Distributional Sell Signal
Alerts
Long Alert
Short Alert
Distributional Buy Alert
Distributional Sell Alert
*** USAGE
Since the script uses various Commitment of Traders data, it is designed only for the weekly time frame. ( TF = 1W )
Script does not repaint 1 Week and above time frames . (Source = close )
NOTE :
The script design was inspired by one of RafaelZioni's script :
Best regards.
Autonomous LSTM Stop-LossStructure
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 script uses the Autonomous LSTM as cross method.
Tradeable / Non Tradeable Region Detector :
This script separates tradeable and non-tradeable regions with a coloring method.
Plotting Rules :
* Maroon : Uncorfirmed Short Positions
* Teal : Unconfirmed Long Positions
* Green : Confirmed Long Positions
* Red : Confirmed Short Positions
This script can be used in all time frames.
Does not repaint. ( Source = close )
*** Settings :
The only option here is the ATR multiplier.
The default use value of this ATR multiplier, which is of the standard of stop-loss, is 2.You can set it from the menu.
No alert is set.
Because the positive and negative regions are the same as Autonomous LSTM.
Since the traders can trade according to the support and resistance outside the definite regions, the unnecessary signal was confused and the alerts were removed.
*** Usage
The Stop-Loss indicator can slide on the chart.
So you have to make sure you put it in place.
Since this is a region scan from the OHLC levels, indicator contains small blue dots to the ohlc levels and made it serve as a guide.
However, since we cannot know the OHLC values precisely, it is best to use them as follows:
Because it is often forgotten to put it in place:
(OHLC : Average of Open, High, Low, and Closing prices for each period)
Using this script in a new pane below will radically solve slip problems.
Stop-Loss values do not slip definitely.The values are selected from the alignment.
NOTE :
Some structures (Market Adaptive Stop-Loss) and design in this script are inspired by everget's Chandelier Exit script :
Best regards.
Autonomous LSTM [Noldo] 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 , Futures and Commodities , Interest Rates and Yields all over the Global Markets.
Market weights and liquidities were taken into consideration and included in the calculations.
Feature Layer 2: Forecast Algorithm :
When we apply only the first item, we only get the buy and sell signals in reverse.
In other words, since we measure the expectation, the positive signal informs the bear market and the negative scenario informs the bull market.
If we only act according to the expectations market, our system will be very sensitive.
When we associate this with real prices, both our accuracy increases and the reverse market returns to the normal market.
In other words, as in the indicators with standard average, the upward crosses are buy and the downward crosses are sell signal.
Examples:
a -) The normal deep learning script (ANN), which is only created according to expectations:
Unlike standard market, it gives reverse signals.
Original script :
b-) Script with Forecast Algorithm but it only uses valid and standard periods for certain instruments :
Original script :
Feature Layer 3 : Composite of Two Layers : Adaptive Period (Length) Algorithm
This layer is the most important layer.
Outputs the period.
It adjusts itself to market conditions and provides a more agile trading environment under all circumstances.
Display of smart period function and standard period :
Where the market is stagnant, the period increases automatically and reduces unnecessary trade, while in trendy markets the period decreases automatically and allows to see positions first.
The degree of stagnation of the instrument concerned is not calculated solely by volatility.
We may perceive this in relation to several factors, but yes volatility is one of these factors.
When we put the script system under the MACD (Moving Average Convergence Divergence) roof, I did the tests.
Where both averages were positive, they could report accurate harsh trend news, or vice versa.
But I decided to give it up and put it on the Stochastic Money Flow Index .
First of all , Stochastic Money Flow Index function takes the volume into account.
The reason for this is a very important factor, which is naturally contained in the structure of High - Low conditions related codes.
And by using this factor, it could be superfast adaptive in both stagnant and trendy markets.
Feature Layer 4 : High - Low Selection Algorithm
The High-Low Selection Algorithm does not depend on a specific period but scans all periods backwards.(Lookback Function - Lkb )
Outputs the lowest or highest values in the specified new period.
This algorithm was written by me with the concern that if everyone trades according to the same threshold values, it will cause problems and choosing between values of the whole period length will slow down the signals.
This algorithm consists of two functions.
a - Lkb (Lookback Function) :
The lookback function scans back all periods from 0 to Smart Period bars at the same time.
In order to show the effect of the function, it was done between 0 and 84 bars.
However, the scan period of the function is normally at the same time: 0 to adaptive period time.
If the adaptive period includes a fractional day, it can also scan it.
There is no need to be an integer.
All functions are written to make mutable variables appropriate.
And what this function will scan depends on the second feature.
The special selection algorithm is in this function.And the output is given in this function.
b-) High - Low Selection Algorithm
Outputs the lowest or highest values in the specified new period.
This function allows you to select the most advantageous low or high values, even though the adaptive period remains the same.
And the signals are even more accurate.
This is a comparison of the High-Low selection algorithm and the Function: Stochastic Money Flow Index in the standard period.
For the codes of the Stochastic Money Flow Index function:
Speed may not be clear here.
So let's take a look at on chart.
So I would like to show a comparison values of the standard and special selection algorithms on Standard Highest - Lowest Function (All effort goes to RicardoSantos)
Note: This function is the standard function and freed from integer loads.
Blue = Function Highest - Lowest (length = 10 )
Yellow = Smart High-Low Selection Algorithm (length = 10 )
You can better observe the different results in the same period on the chart.
***
4 layers are interdependent.
And when the inter-layer operations are completed, output is given.
*** - Usage of Autonomous LSTM
Plot Rules
Blue Zones = Crossover condition where the average of long and short lines is less than 50.
Orange Zones = Crossunder condition where long and short lines averages more than 50.
Green Zones = Crossover condition where the average of long and short lines is greater than 50.
Red Zones = Crossunder condition where long and short lines averages less than 50.
*** Autonomous LSTM Settings :
It is just the barcolor to be colored according to the crossover and crossunder conditions or not (I / 0) option.
*** Autonomous LSTM Alerts :
As an alert, it only reports crossover and crossunder status as "Long Signal" and "Short Signal" as a warning after the first bar closure.
*** CONCLUSION :
Autonomous LSTM Designed to be used in any time frame.
Does not repaint in any time frame.
Script is independent of constant coefficients.No period adjustment is necessary.
Each layer transfers the information in its own layer to the next layer and the results are reflected in the Stochastic Money Flow Index function built on the resultant.
Regards.
Macroeconomic Artificial Neural Networks
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 the following conditions: S&P 500 and related ETFs in 1W time-frame (TF = 1W SPX500USD, SP1!, SPY, SPX etc. )
Macroeconomic Parameters
Effective Federal Funds Rate (FEDFUNDS)
Initial Claims (ICSA)
Civilian Unemployment Rate (UNRATE)
10 Year Treasury Constant Maturity Rate (DGS10)
Gross Domestic Product , 1 Decimal (GDP)
Trade Weighted US Dollar Index : Major Currencies (DTWEXM)
Consumer Price Index For All Urban Consumers (CPIAUCSL)
M1 Money Stock (M1)
M2 Money Stock (M2)
2 - Year Treasury Constant Maturity Rate (DGS2)
30 Year Treasury Constant Maturity Rate (DGS30)
Industrial Production Index (INDPRO)
5-Year Treasury Constant Maturity Rate (FRED : DGS5)
Light Weight Vehicle Sales: Autos and Light Trucks (ALTSALES)
Civilian Employment Population Ratio (EMRATIO)
Capacity Utilization (TOTAL INDUSTRY) (TCU)
Average (Mean) Duration Of Unemployment (UEMPMEAN)
Manufacturing Employment Index (MAN_EMPL)
Manufacturers' New Orders (NEWORDER)
ISM Manufacturing Index (MAN : PMI)
Artificial Neural Network (ANN) Training Details :
Learning cycles: 16231
AutoSave cycles: 100
Grid
Input columns: 19
Output columns: 1
Excluded columns: 0
Training example rows: 998
Validating example rows: 0
Querying example rows: 0
Excluded example rows: 0
Duplicated example rows: 0
Network
Input nodes connected: 19
Hidden layer 1 nodes: 2
Hidden layer 2 nodes: 0
Hidden layer 3 nodes: 0
Output nodes: 1
Controls
Learning rate: 0.1000
Momentum: 0.8000 (Optimized)
Target error: 0.0100
Training error: 0.010000
NOTE : Alerts added . The red histogram represents the bear market and the green histogram represents the bull market.
Bars subject to region changes are shown as background colors. (Teal = Bull , Maroon = Bear Market )
I hope it will be useful in your studies and analysis, regards.
Blockchain Artificial Neural NetworksI 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 available.
And you can also paint bar colors from the menu by region.
After making reminders, let's share the details of this interesting research:
INPUTS :
1. Average Block Size
2. Api Blockchain Size
3. Miners Revenue
4. Hash Rate
5. Bitcoin Cost Per Transaction
6. Bitcoin USD Exchange Trade Volume
7. Bitcoin Total Number of Transactions
OUTPUTS :
1. One day next price close (Historical)
TRAINING DETAILS :
Learning cycles: 1096436
AutoSave cycles: 100
Grid :
Input columns: 7
Output columns: 1
Excluded columns: 0
Training example rows: 446
Validating example rows: 0
Querying example rows: 0
Excluded example rows: 0
Duplicated example rows: 0
Network :
Input nodes connected: 7
Hidden layer 1 nodes: 5
Hidden layer 2 nodes: 0
Hidden layer 3 nodes: 0
Output nodes: 1
Controls :
Learning rate: 0.1000
Momentum: 0.8000
Target error: 0.0100
Training error: 0.010571
The average training error is really low, almost worth the target.
Without using technical analysis data, we established Artificial Neural Networks with blockchain data.
Interesting!
CryptoEngineering 🔥Isn’t It Time You Made Your Crypto Portfolio Great Again? 🔥
The falling knives, the heartbreaking crashes, the devastating feeling of watching a missed trade soar all the way to the moon.
The markets aren’t fair, which means you need a tool that gives you an edge. So,It is time to try EngineeringRobo.
The Engineeringrobo is a great ally in a crypto market - when the price moves the algorithm will automatically show Buy and Sell orders when there is a best opportunity to make a profit. It is a just SMART trading system script on TradingView that brings the easiest approach to trading with a high profitability rate.
I created EngineeringRobo to help you on your traders as a robo advisor , It will "not " trade on behalf of you on exchanges via API. It is not an AI robot,It is am ALGO Trading robot. You can use it on any trading markets (BIST, S&P 500,Commodities ,Forex, Crypto ) with any time frame!
My unique algorithm find profitable altcoins based on their Ichimoku, McGinley, MA, RSI, MACD, Stochastic, Volumes and Price Changes gives you BUY and SELL signals. The EngineeringRobo indicator displays two different signals for entry and exit on a coin to maximize its profitability on the chart. The signals can appear at any time during an open candle, but once closed the signal is final and wont change in the future.
One of the biggest advantages of algo trading is removing human emotion from the crypto markets,humans trading are susceptible to emotions that lead to irrational decisions.Robo doesn't have to think or feel good to make a trade. If conditions are met, it enters.When the trade goes the wrong way or hits a profit target, It exits. It doesn't get angry at the market or feel invincible after making a few good trades. The two emotions that lead to poor decisions that algo traders aren't susceptible to are fear,and greed.
That's why It makes money but most of you not!
What Are the Advantages of using it as a ROBO Advisor?
🔴Reduce your required screen-time
🔴Reduce anxiety over missing setups when you are busy
🔴Turn existing indicators into alerts (eg. Whenever RSI goes overbought)
🔴Find comfort in knowing that you have me on your side
To get the maximized results from @EngineeringRobo
Open tradingview
Decide the coin/BTC
Pick 1M
Draw the Support & Resistance lines
Change the 1W
Draw the lines - Support & Resistance
Find out Chart Patterns
Change to 3D/1D / 3H
Check Robo' signals
Set your orders
Enjoy your profits💰
***Even the best automated day trading software can trigger false trends.
In August 2012 by Knight Capital group;who lost over $440 million in just half an hour when their trading software went rogue in response to market conditions. That's why it is a Robo advisor not trading bot! Engineeringrobo is not a get-rich-quick scheme as well!
Disclaimer
Information on EngineeringRobo should not be seen as a recommendation to trade BIST, S&P 500,Commodities ,Forex, Crypto.
EngineeringRobo is not licensed nor authorized to provide advice on investing and related matters.
Information on the page is not, nor should it be seen as investment advice.Any trading decisions that you make are solely your responsibility. Clients without sufficient knowledge should seek individual advice from an authorized source.
Crypto and Forex trading entails significant risks and there is a chance that clients lose all of their invested money. Past performance is not a guarantee of future returns. Before trading with any of the Algos, clients should make sure they understand the risks.
EngineeringRobo nor its agents or partners are not registered and do not provide any services on the US territory.
***I have been trading since 2016 . Got my first bitcoin in 2013
Open Source Ichimoku Kinkō hyō Keizen 改善Open Source Ichimoku Kinkō hyō Keizen 改善
First of all, thank you for using my work, making changes and continuing to share it for free.
I chose as indicator name Ichimoku Kinkō hyō Keizen logically simply by
what the word Keizen reflects a Japanese method which means continuous improvement and quality.
The goal here is to correct already any offset faults that should not be present and to try
to bring the indicator of new things that can serve and advance
and provide additional support for the decision.
A continuation will surely be planned which will bring its batch of new elements which will come
naturally be grafted to this tool.
Possibility of adding or not adding new lines Jun (76), Kan (226), Junkan A, B (676).
- Junakan To be calculated on the average of Jun / Kan 151 periods.
- Junkan B calculate over the 676 periods.
- Possibility of adding or not adding a new kinkohoyo calculate on Jun (76) and Kan (226).
- Possibility of adding or not adding a new Kumo calculate over 676 periods.
- Possibility of coloring or not the kumos or the kinkohyos.
- Possibility of adding or not Chikō 9,26,52,76,226,676.
- Ability to display or not passive lines in the future, 5 shots ahead of the movement of lines, provided that the extremes are not broken.
Thank you:
Thanks to TomQSD to have tested all the different versions of this project and to have contributed his criticism that helped me a lot to develop the tool.
Thanks to Herveo for having agreed to share his code
on the passive lines.
Remarks:
Not all options are activated at the same time.
Please do not uncheck the boxes in style, only change the colors.
To enable or disable lines, go to input parameters.
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
Open Source Ichimoku Kinkō hyō Keizen 改善
Tous d'abord, merci d'utiliser mon travail, d'apporter des modification et de continuer à le partager gratuitement.
J'ai choisi comme nom d’indicateur Ichimoku Kinkō hyō Keizen en toute logique tout simplement par
ce que le mot Keizen reflète une méthode Japonaise qui veut dire amélioration en continue et qualité.
Le but ici est de corriger déjà tout les défauts de décalage qui ne devraient pas être présents et d’essayer
d’apporter sans trop charger l’indicateur des choses nouvelles qui peuvent servir et faire progresser
et apporter une aide supplémentaire à la décision.
Une suite sera sûrement prévue qui apportera son lot d'éléments nouveaux qui viendront
naturellement se greffer à cet outil.
- Possibilité d’ajout ou non de nouvelles lignes Jun (76) , Kan (226) , Junkan A,B (676).
- Junakan A calculer sur la moyenne de Jun/Kan 151 périodes.
- Junkan B calculer sur les 676 périodes.
- Possibilité d’ajout ou non d’un nouveau kinkohoyo calculer sur le Jun (76) et le Kan (226).
- Possibilité d’ajout ou non d’un nouveau Kumo calculer sur 676 périodes.
- Possibilité de colorier ou non le ou les kumos et le ou les kinkohyos.
- Possibilité d’ajout ou non de Chikō 9,26,52,76,226,676.
- Possibilité d’afficher ou non de lignes passives dans le future, 5 coups d’avance sur les déplacement des lignes, a condition que les extrêmes ne soient pas rompu.
Remerciement :
Merci à TomQSD d'avoir tester toutes les différentes versions de ce projet et d’avoir apporter sa critique qui m'a beaucoup aidé à développer l’outil.
Merci à Herveo pour sont accord d’avoir bien voulu partager son code
sur les lignes passives.
Remarques:
Toutes les options ne sont pas toutes à activer en même temps.
Merci de ne pas décocher les cases dans style, modifiez seulement les couleurs.
Pour activer ou désactiver des lignes, allez dans paramètres en entrée.
ANN Forecast Dependent Variable Odd GeneratorHello , this script is the ANN Forecast version of my "Dependent Variable Odd Generator " script.
I went to simplify a bit because the deep learning calculations are too much for this command.
The latest instruments included:
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
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
Simply select the required instrument from the tradingview analysis screen, then add this command and select the same instrument from the settings section.
The codes are not open-source because they contain forecast algorithm codes a little that I will use commercially in the future.
However, I will never remove this script, and you can use it for free unlimitedly.
For more information about my artificial neural network forecast series:
For more information about my dependent variable odd generator :
For more information about simple artificial neural networks :
(detailed information about ANN )
(25 in 1 version )
I hope it helps in your analysis. Regards , Noldo .
NOTE : In the first pass bar of the definite positive and negative zone, alerts are added for both conditions.
