Machine Learning: kNN-based Strategy (mtf)This is a multi-timeframe version of the kNN-based strategy.
Search in scripts for "ai"
GreenCrypto Swing Trade Indicator - GC02Overview: This is a swing trading Indictor works using support & resistance and market trend, it is designed for all type of markets (crypto, forex, stock etc.) and works on all commonly used timeframes (preferably on 1H, 4H Candles).
How it works:
Core logic behind this indicator is to finding the Support and Resistance, we find the Lower High (LH) and Higher Low (HL) to find the from where the price reversed(bounced back) and also we use a custom logic for figuring out the peak price in the last few candles (based on the input "Strength" ). Based on the multiple previous Support and Resistance (HH, HL, LL LH) we calculate a price level, this price level is used a major a factor for entering the trade. Once we have the price level we check if the current price crosses that price level, if it crossed then we consider that as a long/short entry (based on whether it crosses resistance or support line that we calculated). Once we have pre long/short signals we further filter it based on the market trend to prevent too early/late signals, this trend is calculated based on the value from the input field "Factor". Along with this if we don't see a clear trend we do the filtering by checking how many support or resistance level the price has bounced off.
Stop Loss and Take Profit : We have also added printing SL and TP levels on the chart to make the it easier for everyone to find the SL/TP values. Script calculates the SL value by checking the previous support level for LONG trade and previous resistance level for SHORT trades. Take profit are calculated in 1:1 ratio as of now.
Available Inputs:
Strength : Define the strength of the support resistance that we calculate. The lower value means less number of candles used for calculating the support & resistance and vice versa
Factor : Specify what level of trend to use. Using higher value will result script looking using the larger trend (zoomed out trend) and using lesser value will result in using the short trends
Note: For most of the charts you don’t need to change the default values. However, feel free to try it out.
How to use:
Add the script to the chart and once the indicator is load it will display the "long" and "short" entry points along with the stopLoss and takeProfit points.
How to get access:
Send a DM to us for getting access to the script.
COTBase iCOT (Scores)COTBase iCOT indicator is based on reverse-engineering the Commitments of Traders data and creating a proprietary algo, which mimics real COT data on any time-frame and chart type.
We advise to use it mainly on time-based charts, on smaller than 4 hr per bar time-frames. A multi-time-frame analysis is recommended where the smaller time-frame signals are confirmed by the higher time-frames.
This indicator is the Scores part of the COTBase iCOT package. If you apply it to your chart, you will see the pseudo-Commercials (red line), pseudo-Speculators (green line) and the Balance line (white line). To use in practice you may not need to add this indicator to your chart after you added the Signals indicator, since that already shows the most important signals when these lines are at important extremes and confluences. The Signal indicator does NOT require to add the Scores indicator to the chart to work properly.
Features:
Versatile
You can use the COTBase iCOT indicator on any chart type (eg. candlesticks , bar charts, renko, range bars, etc.) and time-frames (eg. 1-min, 5-min , 1-hr, 4-hr, etc.).
Proprietary algo
We used AI and various other methods to create a truly unique indicator that - we believe - descibes market forces the most efficient way.
We have found that this is possibly the closest we could get to a realistic estimation of the fundamental forces driving the market.
Data does not come from CFTC
The COTBase iCOT indicator does not source any of its data from the Commodity Futures Trading Commission.
Accurate signal logic
We mark "pseudo-Commercial" buy/sell setups with a yellow diamond below/above the price. We mark "pseudo-Speculator" buy/sell signals with blue bars.
The statistically best "3-fold confluence" setups are marked with green/red stripes (and/or other markers).
Key features:
Allow plotting pseudo-Commercials and Change, pseudo-Speculators and Change, Balance Line and Change.
Allow highlighting any of the above series if they cross above/below a user defined threshold
Allow configuring the strength and markings of "All Signal" confluences
Allow setting the logic for Change calculations and markings
Sound alerts
Compatibility:
Instruments: futures , cryptocurrencies, forex, stocks, CFDs, indices, options
Interval types: time and non-time-based, standard or custom
Chart styles: any
You can obtain this indicator by visiting the link below.
COTBase iCOT (Signals)COTBase iCOT indicator is based on reverse-engineering the Commitments of Traders data and creating a proprietary algo, which mimics real COT data on any time-frame and chart type.
We advise to use it mainly on time-based charts, on smaller than 4 hr per bar time-frames. A multi-time-frame analysis is recommended where the smaller time-frame signals are confirmed by the higher time-frames.
This indicator is the Signal part of the COTBase iCOT package. Please apply it to the price chart to see the yellow markers (Commercials extremes), blue bars (Speculators extremes) and 3-fold confluences (green and black background stripes).
Features:
Versatile
You can use the COTBase iCOT indicator on any chart type (eg. candlesticks , bar charts, renko, range bars, etc.) and time-frames (eg. 1-min, 5-min , 1-hr, 4-hr, etc.).
Proprietary algo
We used AI and various other methods to create a truly unique indicator that - we believe - descibes market forces the most efficient way.
We have found that this is possibly the closest we could get to a realistic estimation of the fundamental forces driving the market.
Data does not come from CFTC
The COTBase iCOT indicator does not source any of its data from the Commodity Futures Trading Commission.
Accurate signal logic
We mark "pseudo-Commercial" buy/sell setups with a yellow diamond below/above the price. We mark "pseudo-Speculator" buy/sell signals with blue bars.
The statistically best "3-fold confluence" setups are marked with green/red stripes (and/or other markers).
Key features:
Allow plotting pseudo-Commercials and Change, pseudo-Speculators and Change, Balance Line and Change.
Allow highlighting any of the above series if they cross above/below a user defined threshold
Allow configuring the strength and markings of "All Signal" confluences
Allow setting the logic for Change calculations and markings
Sound alerts
Compatibility:
Instruments: futures , cryptocurrencies, forex, stocks, CFDs, indices, options
Interval types: time and non-time-based, standard or custom
Chart styles: any
You can obtain this indicator by visiting the link below.
Machine Learning: kNN-based StrategykNN-based Strategy (FX and Crypto)
Description:
This strategy uses a classic machine learning algorithm - k Nearest Neighbours (kNN) - to let you find a prediction for the next (tomorrow's, next month's, etc.) market move. Being an unsupervised machine learning algorithm, kNN is one of the most simple learning algorithms.
To do a prediction of the next market move, the kNN algorithm uses the historic data, collected in 3 arrays - feature1, feature2 and directions, - and finds the k-nearest
neighbours of the current indicator(s) values.
The two dimensional kNN algorithm just has a look on what has happened in the past when the two indicators had a similar level. It then looks at the k nearest neighbours,
sees their state and thus classifies the current point.
The kNN algorithm offers a framework to test all kinds of indicators easily to see if they have got any *predictive value*. One can easily add cog, wpr and others.
Note: TradingViews's playback feature helps to see this strategy in action.
Warning: Signals ARE repainting.
Style tags: Trend Following, Trend Analysis
Asset class: Equities, Futures, ETFs, Currencies and Commodities
Dataset: FX Minutes/Hours+++/Days
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.
Cyatophilum Scalper [ALERTSETUP]This indicator comes with a backtest and alert version. This is the alert version. Its purpose is to create low timeframe and scalping strategies, by choosing from a list of built-in entry points which are described in detail below, and by configuring a risk management system to your liking.
Before diving into the entry points, I will explain the strategy and risk management settings.
These 3 settings allow to choose your strategy direction, and main behavior.
- Go Long ↗: activate or deactivate long entry points.
- Go Short ↘: activate or deactivate short entry points.
- Reversal strategy ↗↘↗↘: Activate this option will allow trades to reverse position from an opposite entry point. Keep it deactivated and trades will either wait a TakeProfit(TP) or StopLoss(SL) to be closed. When neither SL nor TP or set, this option is automatically activated.
StopLoss settings:
Both Long and Short SL can be activated and configured.
The base % price is the starting point of the stoploss, in a percentage of current price.
Trailing stop, when activated, works with 2 settings:
- % Price to Trigger: a percentage of current price the price should move in a bar to trigger a trailing movement.
- % Price Movement: the stoploss variation in a percentage of current price that moves on each bar.
TakeProfit settings:
Both Long and Short TP can be activated and configured.
The base % price is the value of the TP, in a percentage of current price.
Trailing Profit Deviation %: Percent deviation for the trailing take profit.
DCA:
DCA stands for Dollar Cost Average. The idea is to open additional orders from the base order so as to improve risk management.
These additional orders are also called Safety Orders. The indicator can handle up to 9 safety orders.
The strategy will exit either from a take profit based on percentage from base order or from a total volume percentage (Configurable in the parameters).
The steps spacing (space between each step) and safety orders volume (order size) can both scale by adding a scale multiplier.
By choosing from the base strategy dropdown menu, the indicator will generate entry points.
1. BUY SELL:
-> Low timeframes spot trading, with simple buy and sell orders.
How it works:
The indicator used is a combination of QQE (Atr based trend following indicator) and RMA 100 trendline.
I think the QQE does a great job in low timeframes because it is not impacted by the noise.
The RMA which is the moving average used in the RSI, will help giving confirmation to the entry points.
How to use:
It is meant to be used as a reversal strategy, but you can add a TP or SL if you want.
When comparing to Buy & Hold, make sure to deactivate the "Short results in the backtest" setting.
2. TREND SCALPING
-> A strategy for low timeframes trading.
How it works:
The strategy creates high volatility entries filtered by a duo convergence of adaptive trendlines (Adaptive HULL MA using the chart's resolution, Adaptive Tilson T3 using 1H resolution) and a higher timeframe (1H) RSI filter (long threshold: 70, short threshold: 40, RSI length: 10).
How to use:
Must be used on charts with a resolution smaller than 1H. Recommended: from 1m to 30m.
Must NOT be used as reversal strategy. Use it with a take profit and stop loss, and DCA if you can.
Sample risk management settings:
3. Support/Resistance BREAKOUTS
-> Trade low timeframes pivot points breakouts.
How it works:
The indicator calculates the 100 previous bars swing high and low. Any break above high or below low will trigger an entry point.
The entry is however filtered by an Adaptive Tilson T3 Trendline, an ADX 30 minimum threshold and a minimum average volume threshold.
How to use:
I recommend to click "Reversal" Strategy and set a Takeprofit target.
Find the best timeframe between 1m and 30m using the backtest version.
Example here with BTCUSDTPERP on 15m:
4. AGGRESSIVE SCALPING
-> Lots of trades in low timeframes.
How it works:
Created using Cyato AI, Higher/Lower Highs and Lows and 2 HULLMA crosses as entries, and 2 Adaptive Tilson T3 as trendfilter, a 25 ADX threshold filter and a volume filter.
How to use:
Recommended Risk Management settings: Takeprofit, Stoploss and DCA (Safety orders).
Find which timeframe work the best from 30 min and below. Should not be used above 30 min since this is the resolution for the MTF Tilson.
How to create Alerts:
Click Add alert, then select the indicator, and choose the alert for your order.
Most used alerts are "LONG ENTRY", "SHORT ENTRY" and "ALL EXITS".
You will find a description of each alert in the default alert message.
To gain access to this paid indicator, please use the link below.
Cyatophilum Swing Trader [ALERTSETUP]This is an indicator for swing trading which allows you to build your own strategies, backtest and alert. This version is the alertsetup which allows to create automated alerts hosted on TradingView servers that will trigger in form of emails, SMS, webhooks, notifications, and more. The backtest version can be found in my profile scripts page.
The particularity of this indicator is that it contains several indicators, including a custom one, that you can choose in a drop down list, as well as a trailing stop loss and take profit system.
The current indicators are :
CYATO AI: a custom indicator inspired by Donchian Channels that will catch each big trend and important reversal points .
The indicator has two major "bands" or channels and two minor bands. The major bands are bigger and are always displayed.
When price reaches a major band, acting as a support/resistance, it will either bounce on it or break through it. This is how "tops" and "bottoms", and breakouts are caught.
The minor bands are used to catch smaller moves inside the major bands. A combination of volume, momentum and price action is used to calculate the signals.
Advantages of this indicator: it should catch top and bottoms better than other swing trade indicators.
Cons of this indicator: Some minor moves might be ignored. Sometimes the script will catch a fakeout due to the Bands design.
Best timeframes to use it : 2H~4H
Sample:
Other indicators available:
SARMA: A combination of Parabolic Stop and Reverse and Exponential Moving Average (20 and 40) .
SAR: Regular Parabolic Stop and Reverse .
QQE: An indicator based on Quantitative Qualitative Estimation .
SUPERTREND: A reversal indicator based on Average True Range .
CHANNELS: The classic Donchian Channels .
More indicators might be added in the future.
About the signals: each entry (long & short) is calculated at bar close to avoid repainting. Exits (SL & TP) can either be intra-bar or at bar close using the Exit alert type parameter.
STOP LOSS SYSTEM
The base indicators listed above can be used with or without TP/SL.
TP and SL can be both turned on and off and configured for both directions.
The system can be configured with 3 parameters as follows:
Stop Loss Base % Price: Starting Value for LONG/SHORT stop loss
Trailing Stop % Price to Trigger First parameter related to the trailing stop loss. Percentage of price movement in the right direction required to make the stop loss line move.
Trailing Stop % Price Movement: Second parameter related to the trailing stop loss. Percentage for the stop loss trailing movement.
Another option is the "Reverse order on Stop Loss". Use this if you want the strategy to trigger a reverse order when a stop loss is hit.
TAKE PROFIT SYSTEM
The system can be configured with 2 parameters as follows:
Take Profit %: Take profit value in percentage of price.
Trailing Profit Deviation %: Percent deviation for the trailing take profit.
Combining indicators and Take Profit/Stop Loss
One thing to note is that if a reversal signal triggers during a trade, the trade will be closed before SL or TP is reached.
Indeed, the base indicators are reversal indicators, they will trigger long/short signals to follow the trend.
It is possible to use a takeprofit without stop loss, like in this example, knowing that the signal will reverse if the trade goes badly.
The base indicators settings can be changed in the "Advanced Parameters" section.
Configuration used for this snapshot:
ALERTS DEFINITION
Each alert correspond to the labels on chart.
01. LONG ENTRY (BUY) : Long alert
02. LONG STOP LOSS : Long stop loss event
03. LONG TAKE PROFIT : Long take profit event
04. SHORT ENTRY (SELL) : Short alert
05. SHORT STOP LOSS : Short stop loss event
06. SHORT TAKE PROFIT : Short take profit event
07. LONG EXIT : Long exit alert. Triggers on both Stop loss and Take Profit
08. SHORT EXIT : Short exit alert. Triggers on both Stop loss and Take Profit
09. ALL TAKE PROFITS : Long and Short Take Profits. Both directions.
10. ALL STOP LOSSES : Long and Short Stop Losses. Both directions.
11. ALL EXITS : Long and Short exits alert. Stop Loss and Take Profit both Long and Short.
Use the link below to obtain access to this indicator.
NEURAL TREND AI - MULTI SCRIPT (With Alerts)This study is based on several Price Action parameters of :-
• Candle Pattern,
• Supply Demands,
• Support and Resistance ,
• Breakouts,
• Trend Series Forecasting,
• Average true Range,
• Neural Smoothing With Alpha, Beta Calculations for Filtering wrong trend breakouts.
► How To Use This Study ?
• This Study is for positional trading.
• Buy Whenever a GREEN Up Arrow Appears on Chart with text "BUY ACTIVATED".
• Sell Whenever a RED Down Arrow Appears on Chart with text "SELL ACTIVATED".
• Exit Buy Whenever a RED Down Arrow Appears with text "SELL ACTIVATED" After A Buy call and Exit Sell Whenever a up Arrow Appears with text "BUY ACTIVATED" After A Sell Call.
• Trade every call and do positional trading
• Alerts are inbuilt for both LONG and SHORT signals.
Test Yourself and give feedback.
PM us to obtain access.
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.
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
