MyAlgo-SLIMPLEASE READ THE ENTIRE POST BEFORE PURCHASING & USING THE MyAlgo-SLIM Tool. Saves you and me some time in emails and messages. :)
This is the official version of MyAlgo-SLIM
Description
Buy & Sell Alerts can be set on all Tickers. This includes, but is not limited to Crypto, Commodities , FOREX, Equities and Indices. Also all candle Types are compatible.
Recommended Time-frames - Due to the complexity of MyAlgo-SLIM the user has a choice between three algorithms and is like that able to trade on all timeframes with the highest returns.
MyAlgocombines many different aspects at the same time, scans multiple other Algorithms and comes to a conclusion based on over 1350 lines of code.
It is based on Divergences, Elliott Waves , Ichimoku , MACD , MACD Histogram, RSI , Stoch , CCI , Momentum, OBV, DIOSC, VWMACD, CMF and multiple EMAs.
Every single aspect is weighted into the decision before giving out an indication.
Most buy/sell Algorithms FAIL because they try to apply the same strategy to every single chart, which
are as individual as humans. To conquer this problem, MyAlgo has a wide range of settings and variables which can be easily
modified.
To make it a true strategy, MyAlgo has as well settings for Take Profit Points and Stop
Losses. Everything with an Alert Feature of course so that FULL AUTOMATION IS POSSIBLE.
I know from experience that many people take one Algorithm and are simply too LAZY to add multiple Algorithms to make a rational choice. The result of that is that they lose money, by following blatantly only one Algorithm.
MyAlgo has additional 15 Indicators, perfect for all markets, which can be turned on and off individually.
Side Notes
MyAlgo is being updated and upgraded very frequently to suit the requests of our customers.
This is not financial advice. Please read our disclaimer before using.
Anything below this sentence will be Updates regarding MyAlgo-SLIM
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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.
Simple Decesion Matrix Classification Algorithm [SS]Hello everyone,
It has been a while since I posted an indicator, so thought I would share this project I did for fun.
This indicator is an attempt to develop a pseudo Random Forest classification decision matrix model for Pinescript.
This is not a full, robust Random Forest model by any stretch of the imagination, but it is a good way to showcase how decision matrices can be applied to trading and within Pinescript.
As to not market this as something it is not, I am simply calling it the "Simple Decision Matrix Classification Algorithm". However, I have stolen most of the aspects of this machine learning algo from concepts of Random Forest modelling.
How it works:
With models like Support Vector Machines (SVM), Random Forest (RF) and Gradient Boosted Machine Learning (GBM), which are commonly used in Machine Learning Classification Tasks (MLCTs), this model operates similarity to the basic concepts shared amongst those modelling types. While it is not very similar to SVM, it is very similar to RF and GBM, in that it uses a "voting" system.
What do I mean by voting system?
How most classification MLAs work is by feeding an input dataset to an algorithm. The algorithm sorts this data, categorizes it, then introduces something called a confusion matrix (essentially sorting the data in no apparently order as to prevent over-fitting and introduce "confusion" to the algorithm to ensure that it is not just following a trend).
From there, the data is called upon based on current data inputs (so say we are using RSI and Z-Score, the current RSI and Z-Score is compared against other RSI's and Z-Scores that the model has saved). The model will process this information and each "tree" or "node" will vote. Then a cumulative overall vote is casted.
How does this MLA work?
This model accepts 2 independent variables. In order to keep things simple, this model was kept as a three node model. This means that there are 3 separate votes that go in to get the result. A vote is casted for each of the two independent variables and then a cumulative vote is casted for the overall verdict (the result of the model's prediction).
The model actually displays this system diagrammatically and it will likely be easier to understand if we look at the diagram to ground the example:
In the diagram, at the very top we have the classification variable that we are trying to predict. In this case, we are trying to predict whether there will be a breakout/breakdown outside of the normal ATR range (this is either yes or no question, hence a classification task).
So the question forms the basis of the input. The model will track at which points the ATR range is exceeded to the upside or downside, as well as the other variables that we wish to use to predict these exceedences. The ATR range forms the basis of all the data flowing into the model.
Then, at the second level, you will see we are using Z-Score and RSI to predict these breaks. The circle will change colour according to "feature importance". Feature importance basically just means that the indicator has a strong impact on the outcome. The stronger the importance, the more green it will be, the weaker, the more red it will be.
We can see both RSI and Z-Score are green and thus we can say they are strong options for predicting a breakout/breakdown.
So then we move down to the actual voting mechanisms. You will see the 2 pink boxes. These are the first lines of voting. What is happening here is the model is identifying the instances that are most similar and whether the classification task we have assigned (remember out ATR exceedance classifier) was either true or false based on RSI and Z-Score.
These are our 2 nodes. They both cast an individual vote. You will see in this case, both cast a vote of 1. The options are either 1 or 0. A vote of 1 means "Yes" or "Breakout likely".
However, this is not the only voting the model does. The model does one final vote based on the 2 votes. This is shown in the purple box. We can see the final vote and result at the end with the orange circle. It is 1 which means a range exceedance is anticipated and the most likely outcome.
The Data Table Component
The model has many moving parts. I have tried to represent the pivotal functions diagrammatically, but some other important aspects and background information must be obtained from the companion data table.
If we bring back our diagram from above:
We can see the data table to the left.
The data table contains 2 sections, one for each independent variable. In this case, our independent variables are RSI and Z-Score.
The data table will provide you with specifics about the independent variables, as well as about the model accuracy and outcome.
If we take a look at the first row, it simply indicates which independent variable it is looking at. If we go down to the next row where it reads "Weighted Impact", we can see a corresponding percent. The "weighted impact" is the amount of representation each independent variable has within the voting scheme. So in this case, we can see its pretty equal, 45% and 55%, This tells us that there is a slight higher representation of z-score than RSI but nothing to worry about.
If there was a major over-respresentation of greater than 30 or 40%, then the model would risk being skewed and voting too heavily in favour of 1 variable over the other.
If we move down from there we will see the next row reads "independent accuracy". The voting of each independent variable's accuracy is considered separately. This is one way we can determine feature importance, by seeing how well one feature augments the accuracy. In this case, we can see that RSI has the greatest importance, with an accuracy of around 87% at predicting breakouts. That makes sense as RSI is a momentum based oscillator.
Then if we move down one more, we will see what each independent feature (node) has voted for. In this case, both RSI and Z-Score voted for 1 (Breakout in our case).
You can weigh these in collaboration, but its always important to look at the final verdict of the model, which if we move down, we can see the "Model prediction" which is "Bullish".
If you are using the ATR breakout, the model cannot distinguish between "Bullish" or "Bearish", must that a "Breakout" is likely, either bearish or bullish. However, for the other classification tasks this model can do, the results are either Bullish or Bearish.
Using the Function:
Okay so now that all that technical stuff is out of the way, let's get into using the function. First of all this function innately provides you with 3 possible classification tasks. These include:
1. Predicting Red or Green Candle
2. Predicting Bullish / Bearish ATR
3. Predicting a Breakout from the ATR range
The possible independent variables include:
1. Stochastics,
2. MFI,
3. RSI,
4. Z-Score,
5. EMAs,
6. SMAs,
7. Volume
The model can only accept 2 independent variables, to operate within the computation time limits for pine execution.
Let's quickly go over what the numbers in the diagram mean:
The numbers being pointed at with the yellow arrows represent the cases the model is sorting and voting on. These are the most identical cases and are serving as the voting foundation for the model.
The numbers being pointed at with the pink candle is the voting results.
Extrapolating the functions (For Pine Developers:
So this is more of a feature application, so feel free to customize it to your liking and add additional inputs. But here are some key important considerations if you wish to apply this within your own code:
1. This is a BINARY classification task. The prediction must either be 0 or 1.
2. The function consists of 3 separate functions, the 2 first functions serve to build the confusion matrix and then the final "random_forest" function serves to perform the computations. You will need all 3 functions for implementation.
3. The model can only accept 2 independent variables.
I believe that is the function. Hopefully this wasn't too confusing, it is very statsy, but its a fun function for me! I use Random Forest excessively in R and always like to try to convert R things to Pinescript.
Hope you enjoy!
Safe trades everyone!
SFX Signals & Overlays [YinYangAlgorithms]SFX Signals & Overlays aims to help traders Identify Buy & Sell locations, Reversals, Volatility Zones, Support & Resistance and Overbought & Oversold Zones. All of these may work in harmony with each other by helping to identify when to enter and exit a trade; as well as helping to determine the risk / reward the trade may ensue.
SFX Signals & Overlays’s Buy & Sell signals are momentum based, meaning the Initial ‘Buy’ & ‘Sell’ signal may not be exactly where you want to get in/out. What may occur is the initial signal appears, a few more continuation signals appear afterwards (always in a chain); and once the momentum has ended a ‘Reversal’ signal appears. The reversal is there to help signify that the ‘opportune’ time to buy/sell may have passed and the price may now correct in the opposite direction. This Indicator aims to Buy Low and Sell High; and therefore the Buy signal momentum may occur as the price is either about to fall, currently falling or has started to consolidate. When the Buy signal momentum has ended, this means the momentum is at an impasse, but is favoring Buy momentum and a reversal (correction) may occur.
Buying & Selling at reversal signals may be profitable, however it may be less risky to DCA into your long / short positions during the Buy/Sell momentum signals instead. Let's get into the Tutorial so you can better understand how our SFX Signals & Overlays indicator works.
Tutorial:
Our example above showcases how our SFX Signals & Overlays Indicator looks on the default settings ‘Medium’ for each of our Algorithm Settings:
Trend Sensitivity
Signal Sensitivity
Zone Sensitivity
All of our Algorithm Settings feature 3 different speeds:
Fast
Medium
Slow
These speeds may be applied to each Algorithm Setting individually and affect how quickly they adapt to the current market's momentum. This allows you to tailor this Indicator to fit your trading style by adjusting it to meet your needs accordingly. If you are someone who likes to swing trade on the 1-5 minute timeframe, you may find better confluence with all settings on ‘Fast’. Medium term holders and traders may find better results with all settings on ‘Medium’. Likewise, long term investors may find best results with all settings on ‘Slow’. However, this shouldn’t stop you from finding your own best result by adjusting them individually to meet your own unique trading style.
SFX Signals & Overlays helps you identify shifts in momentum by displaying Momentum Signals. Momentum Signals are shown by either a Green or Red Triangle. Momentum Signals can continue for quite some time until the momentum has ended. We rank the first Momentum Signal from 1/5 to 5/5 for their strength and may help determine the chances of the momentum shift occurring. Once the Momentum Signals have ended we display a Reversal Signal. This Reversal Signal helps signify that the Momentum has ended. When the Momentum ends it means that a reversal may have started. This reversal may mean the price will continue in the direction the signal mentioned; or it may mean the price will consolidate. If the price consolidates then the signal is void as when the consolidation ends the price could go in either direction. If you notice consolidation occurring after a Reversal Signal; wait for more confirmations as it is now too risky.
Our Indicator displays different evaluations for each INITIAL Buy and Sell signal. These evaluations rank the current start of the signal from 1-5; 1 being the lowest and least reliable, 5 being the highest and most reliable. These rankings aren’t indefinite and are simply an evaluation at the time of the initial signal. We may potentially provide evaluations at the reversal later on if requested enough. When a Buy or Sell signal occurs this defines where momentum is occurring in this direction. This momentum is indicated by momentum signals shown through red / green triangles. These triangles indicate that this momentum is present. When these momentum signals end is when the Reversal Signal appears indicating that since this momentum has ended, there may be a decent chance of a reversal occurring. There also adherently may be the potential of consolidation occurring; but generally it means there is either a reversal, or consolidation + then a reversal or a continuation; however it may be apparent that the momentum has ended.
ES:
NQ:
BTC:
If you refer to the 3 examples above, we show how the ES, NQ and BTC look within a 5 minute scalping example. Essentially you’d make your decision on the Buy / Sell signal, the momentum signals, the Reversal Signals, the Trend Colors as well as other oscillators and Due Diligence.
Remember, there’s no such thing as a perfect entry / exit, the more you understand about trading and do your own Due Diligence the better. These Buy and Sell as well as Reversal signals attempt to locate and rank momentum shifts to help you identify where the momentum may be ending and reversing in the opposite direction.
Our zones defined by the Outer (red) and Inner (green) are representations of not only Support and Resistance locations, but likewise Overbought and Oversold locations. These zones help in multiple ways. The hard lines that define each zone's start / end are very useful locations of support / resistance which may indicate where the price will bounce off of. Likewise, when the price is within these zones it represents the price being Overbought or Oversold. Then the price is for instance within the Red Resistance Zone, what generally may happen is the price will correct quickly to get back to the ‘Black Empty Zone’ between the Red and Green zones; OR it may consolidate sideways until it has entered the ‘Black Empty Zone’. This is how the price may redeem itself back to being valued correctly. These zones help you identify and understand, in concatenation with our signals when and how much the price may move.
Our Settings are minimalistic so you don’t need to worry and get overwhelmed about changing values and trying to fiddle to find which values works the best for what. Our Algorithms will take care of all of that for you. Simply select the speeds for your Trend, Signals and Zones and you’re good to start trading! You can likewise customize what information is visible to you and the colors to better customize your experience.
Fast:
Medium:
Slow:
The 3 examples above display what the same portion of the chart looks like when Trend, Signal and Zone Sensitivity is changed from Fast, Medium and Slow.
As you can see, they all look quite different in the results they produce. By default all settings are set to Medium, however they can all be individually changed to suit your trading style and needs.
Our Indicator offers many different alert options which may help you stay informed with how the market is moving and any momentum changes that may occur.
Settings:
1. Algorithm Settings
Trend Sensitivity (Fast, Medium, Slow): Trend Sensitivity refers to how quickly the Trend Bar Colors change. Fast: will change colors very quickly if it senses momentum is changing. Medium: will change almost as quickly as Fast, however, rather than swapping from Bullish to Bearish momentum right away it has an intermediate 'Neutral - Slightly Bullish (Yellow)' and 'Neutral - Slightly Bearish (Orange)'. This way you can better visualize when the momentum is dying in the trend and starting back up by having these trend 'Neutral/Consolidation' areas. Slow: will attempt to only change Trend Bar Colors when the momentum has surely shifted. This may result in a bit of lagging behind.
Signal Sensitivity (Fast, Medium, Slow): Signal Sensitivity refers to how quickly the Buy & Sell Momentum Signals & Reversal Signals appear. These signals are meant to appear when it thinks the price may reverse, but the speeds refer to how much of a reversal they think may happen. Fast: will attempt to locate any and all momentum swings. Medium: will attempt to only locate momentum swings which may drive the price up considerably. Slow: will attempt to locate only the most extreme momentum swings. This may result in some potentially good ones missed however; but the ones it finds may have a higher probability of occuring.
Zone Sensitivity (Fast, Medium, Slow): Zone Sensitivity refers to how quickly the Zones expand based on price movement. These zones may be useful for not only seeing Support & Resistance; but also identifying when it is Overbought & Oversold; as well as visualizing volatility between the Black (Empty area) and the zones. The lines that separate each zone are the Support and Resistance locations; the area within the zones are simply the spacing between these Support and Resistance locations. However, the further the price is to the outer zones does represent Overbought and Oversold. Fast: will expand very quickly. This causes the price to be within the Black (Empty area) more often. This may be useful for finding extremities in price movement which may have a better chance of correcting. Medium: moves fast but not anywhere close to as fast as 'Fast'. Medium will hold its values in an attempt to be as accurate as possible for identifying Support and Resistance locations. Slow: will expand very slowly. This may be useful for identifying Support & Resistance as well as Volatility targets on higher time frames since these zones move much slower.
2. Display Settings:
Show Trend Bar Colors: Trend Bar Color are a way of seeing how the Trend is holding up on a bar by bar basis. This may be useful for seeing momentum starting, ending or simply dying down before any signals actually appear.
Signal Text Display (Both, Buy & Sell, Reversals, None: Signals are a way of seeing potential changes in momentum and when they have actually occurred. Our signals also rank from 1/5 to 5/5 how strong of a chance this momentum change may occur (only at the time of the signal, not at the time of the reversal). These may be useful as potential Entry and Exit locations; as well as when you see the reversal, you know that this momentum change has either begun or a consolidation may be occurring. If a consolidation occurs, the signal is no longer valid as the price can now go either way and it is best to wait for more signals or other technical analysis to determine momentum and movement.
Zone Display (All, Outer + Middle, Inner + Middle, Outer, Middle, Inner, None): Zones are composed of 3 areas above and below. These areas attempt to project Support & Resistance locations as well as display when the Price is Overbought and Oversold. You can specify which zones you wish to view, however all are important.
3. Color Settings:
Buy Color: This is the color of all Buy Signals and Zones.
Sell Color: This is the color of all Sell Signals and Zones.
Buy Reversal Color: This is the color of all Buy Signal Reversals.
Sell Reversal Color: This is the color of all Sell Signal Reversals.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
Hybrid EMA AlgoLearner⭕️Innovative trading indicator that utilizes a k-NN-inspired algorithmic approach alongside traditional Exponential Moving Averages (EMAs) for more nuanced analysis. While the algorithm doesn't actually employ machine learning techniques, it mimics the logic of the k-Nearest Neighbors (k-NN) methodology. The script takes into account the closest 'k' distances between a short-term and long-term EMA to create a weighted short-term EMA. This combination of rule-based logic and EMA technicals offers traders a more sophisticated tool for market analysis.
⭕️Foundational EMAs: The script kicks off by generating a 50-period short-term EMA and a 200-period long-term EMA. These EMAs serve a dual purpose: they provide the basic trend-following capability familiar to most traders, akin to the classic EMA 50 and EMA 200, and set the stage for more intricate calculations to follow.
⭕️k-NN Integration: The indicator distinguishes itself by introducing k-NN (k-Nearest Neighbors) logic into the mix. This machine learning technique scans prior market data to find the closest 'neighbors' or distances between the two EMAs. The 'k' closest distances are then picked for further analysis, thus imbuing the indicator with an added layer of data-driven context.
⭕️Algorithmic Weighting: After the k closest distances are identified, they are utilized to compute a weighted EMA. Each of the k closest short-term EMA values is weighted by its associated distance. These weighted values are summed up and normalized by the sum of all chosen distances. The result is a weighted short-term EMA that packs more nuanced information than a simple EMA would.
Alpha-Numerologia by Alien CrewAlpha-Numerologia is our latest generation of market analytical tools, built completely from the ground up using a new cutting-edge mathematical formula, designed by the Alien Crew team.
The purpose of this tool, is to tap into the mathematics behind the market prices themselves, in order to extrapolate areas where the price is likely to find support or resistance. This indicator does not use Fibonacci or Pivot Points in any way whatsoever. It does however rhyme with them every now and then, as is the systematic nature of markets. The key strength of this indicator is its ability to adapt to ever-evolving market conditions, providing users with a real-time, clear visualization of essential price zones.
There are several aspects to the process that goes on in this algorithm. Firstly, it gathers range data from multiple lookback periods of time to understand the underlying asset volatility and reference points for calculation. Following that, it identifies the numerical structure of all the ranges, and finds their common denominators, which are essentially subsets. These subsets are then scaled in real-time, reacting to the change in volatility. A scaling mechanism occurs when the volatility either increases or decreases, causing the algorithm to recalculate the levels using the identified subsets. Since each subset has the same character as the whole, it is by definition a fractal. From a mathematical standpoint, such subsets have no limits on scale. They can be infinitesimal, or infinitely large.
Such a fractal nature provides the benefit of this algorithm being able to adjust to virtually any asset and any chart timeframe. Furthermore, through the monitoring of several temporal periods it is able to correlate alignments of the subsets, which is denominated as a percentage on the chart. Such confluences give more importance to the detected level.
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Remember, the world of trading comes with significant risks and unpredictability. While the Alpha-Numerologia Indicator is a highly sophisticated tool, it should be used in combination with other analytical techniques and a sound risk management strategy. Always conduct your own research before making trading decisions. Due to the extended research and work placed into it, the inner workings behind Alpha-Numerologia are proprietary, and shall not be discussed or disclosed in any way by Alien Crew. The source code is not for sale either.
Maddrix_club I - Scalper (3commas)Maddrix club I Scalper (3commas version). The code is very different from the ALERTATRON version.
It really is not the same!
Maddrix Club I is a simple, straightforward trading algorithm that goes long or short, based on user’s choice. It is considered to be a scalper, because it aims to capture small profits that accumulates and compound over time.
The theory behind it is based on trend following and DCA .
Strategy type one uses momentum to generate signals.
Strategy type two uses price action only
Very good results have been observed on the 1 min time frame though it technically works on all timeframe (5 min for example, 1 hour also). The most important part of this algorithm is risk management and capital preservation.
You can run this with very little capital, and always make sure that in the worst case scenario, meaning when the market goes against you and all your SO (Safety Orders) are filled, you are using less than your account balance.
If you are in a trending up phase on the weekly time frame, you can go long. If this is a definite trend down, of course go short. During a bear market, stay long, during a bull market, evidently long as well.
For totally new traders, I would recommend to LONG only, and set super low risk settings (cover a 50% drop for example), and see how it runs. Then, as you become a more experienced trader, you can identify trends and short as well, and/or increase your risk.
It works on all markets as long as there is volatility .
The best way to go about changing the settings, is to start off the default values. I’d run it and see how it fits your risk preferences.
There are absolutely no guarantees about this algorithm and past results are not indicative of future performance.
Fees, slippage and API delay: for any algorithm you will use (from me or others), please keep in mind that fees add up, slippage and delay creates differences between algo theory and reality. We can put in place systems to circumvent that, but we will always have them.
*** This one is SPECIAL 3COMMAS**
NVME Vanquisher X"Enter with precision, focus on the mission, dismiss the indecision, support NVME's vision" ~ That is what the Vanquisher X will provide.
One may ask, what is so unique about it compared to other algorithms?
We have our own calculation module and strategy that uses other indicators and maths to determine the next location of the trend and with our algorithm you can have full customisation of all the features we have. You can change the overall colour scheme of every single plot within the indicator, you can change the algorithms sensitivity and scalar to as many different numbers as possible, there are helpful drawings, trend confirming drawings, pullback drawings, pair mark-ups, custom dashboards and much more. Our settings panel is also simple and easy to use providing you with different appropriately named subsections for each feature and there are tooltips to let you know what each tab or input does. So, traders if that doesn't get you hooked then keeping reading!
Traders commonly struggle to decide whether or not to enter a trade, hold a trade, stop a trade or take profit and that is what makes us different. You stop when you see the opposite signal or a change in candle colour, you can follow our automatic TP and SL levels for trade goals and you enter when a signal meets your analysis.
NVME Vanquisher X is to be used as confluence with your analysis or trading style and should not in anyway shape or form be used as a indication to buy or sell just because the signal says so, it is there to give you a higher chance of having a high probability trade though past results is not indicative of future results and getting access doesn't mean you will become a millionaire in a day as it is not a get rich quick indicator so it won't guarantee 100% success.
What is your goal?
Our goal is to give you traders an edge in trading, whether it be for stocks, indices, cryptos, forex, commodities, futures and altcoins, all assets are supported and we want to make the best of every trader with NVME.
Recommended Timeframes:
15 Minutes, 1 Hour, 4 Hour with our settings of 2 or 3 sensitivity and 144 on the algo scalar.
Does it support all chart types?
Yes, all charts supported, however we recommend Heikin-Ashi as an optimal choice for trading but if you are already experienced with something else then you can use that :)
Screenshots:
Features:
/Trend Confirming Drawings:
-200 EMA (Added so that free users don't have to waste 1 indicator space)
-Trend Cloud (Colour switches from negative to positive depending on the trend and the cloud has a low fill opacity)
-Confirmation Highlight (Highlights the background with a positive or negative colour depending on the trend identified)
-Following Highlight (Unique highlighting to the background that shows either a positive or negative colour based on the trend however it doesn't identify ranging markets)
//Combinations//
-TC+EMA, EMA+Highlight, Cloud+Highlight, FH+EMA, FH+CLOUD, All v1 (EMA+CLOUD+CH), All v2 (EMA+CLOUD+FH)
/Helpful Drawings:
-Predictive Channel (Using candle maths, this will plot a price following linear regression channel that can be useful for breakout trading or using as support and resistance)
-Predictive S/R (Using candle maths and validation, this will plot support and resistance zones across the market to show you different areas where price could reject or reverse)
-Predictive Trend-Lines (Using candle maths and EMA, this will plot a trend-line in the direction of the trend and this can be useful for breakout trading or following the trend)
-Predictive Supply and Demand Highlight (Using other indicators, this will plot a highlight filled plot that will outline areas of supply and demand, which can be useful for support and resistance trading)
-Previous Order Blocks (Using candle maths, validation and confirmation latency, this will plot filled in squares of potential orders blocks from the past so they can be used for future reference in analysis)
-Predictive ZigZag (Using candle maths, this will plot a price following line that forms a zig zag pattern to show if the market is going in a higher high and higher low formation or lower low and lower high formation)
-Predictive Pivot-Points (Using candle maths and higher-timeframe data, this will plot pivot zones up to support 5 and resistance 5 with midpoints for every section there is)
/Pullback Drawings:
-EMA Pullback (Added so that free users don't have to waste 1 indicator space)
-Bollinger Heatbands (Using the Bollinger Bands indicator, we have created a price following support and resistance heat-map that shows you the whereabouts of the dynamic support and resistance that is indicator based)
-EMA+HB (This combines the ema and the heatbands)
-Fib Retracements (This feature will automatically plot a fibonacci retracement based off predictive market data and our own optimal settings so that you don't need to change them)
/Pair Mark-Ups:
-Weekly Info (This will show you the previous lows and high of the weekly candle and using an ATR, we have added potential reversal zones in those areas and we have a midpoint too)
-Daily Info (Same as the weekly info but for the daily timeframe)
-4 Hr Info (Same as the weekly info but for the 4 hourly timeframe)
/Colour Schemes:
-Default (Strong green, dark purple, strong red)
-Blue and Orange
-Strawberry and Lime
-Apple and Mango
-Orange Passionfruit
-Rhubarb and Custard
-Black and White
-Forest Greens
-Galaxy
-No Colour Scheme (removes the preset colours so they are the same as your TradingView bar settings)
-Show ATR TP and SL levels (This will plot 4 lines, 3 lines are the take profit levels, and the 4th line is the stop loss line, since it is atr based it may fluctuate the distance between each line indicating possible liquidity)
/Dashboard Settings
-High (Will place the dashboard's Y position to follow the high of the price)
-Middle (Will place the dashboard's Y position to the difference of the lowest low and highest high)
-Forced Middle (Will place the dashboard's Y position to the difference of the lowest low further back and highest high further back)
-Low (Will place the dashboard's Y position to follow the low of the price)
-No Dashboard (Deletes the dashboard from the charts)
-Dashboard's X position (Input field, this will change the X value, the higher it is the further away it is from price and the lower it is the closer the dashboard is towards price)
/Dashboard W/R Goals:
-Adaptive (Randomly chooses a strategy follow, can be highly inaccurate, and when price hits tp 1 it will add a win and if it hits sl it will count as a loss)
-5 Pips to 5 Pips (This will change the calculator to only add values for this set condition and this won't be strategy based but instead signal based)
-5 Pips to 10 Pips (1:2 Risk Reward)
-10 Pips to 20 Pips (1:2 Risk Reward, Higher Stop and TP)
-10 Pips to 30 Pips (1:3 Risk Reward, Higher Stop and TP)
-20 Pips to 40 Pips (1:2 Risk Reward, Higher Stop and TP)
/Dashboard Add-ons:
-MTF Trends (This will add more text onto the dashboard and this will show you the trends of the higher timeframes)
-EMA (This will show you the EMA trends on the dashboard)
-VWMA (This will show you the VWMA trends on the dashboard)
-HMA (This will show you the HMA trends on the dashboard)
-Text Colour (This is a colour input and this allows you to change the colour of the dashboard to anything you like)
/Customisable Alerts:
-Buy Alerts (This will allow buy alerts to be sent through any TradingView notifications)
-Sell Alerts (This will allow sell alerts to be sent through any TradingView notifications)
-Range to Uptrend (May be buggy, this will send an alert if the colour goes from undecided to an uptrend colour (positive colour))
-Range to Downtrend (May be buggy, this will send an alert if the colour goes from undecided to a downtrend colour (negative colour))
-Previous Bullish Order Block (This will send an alert if a previous bullish order block has been printed to help with your analysis)
-Previous Bearish Order Block (This will send an alert if a previous bearish order block has been printed to help with your analysis)
MÈGAS ALGO : MÈGAS Signals [INDICATOR]Overview
The MÈGAS Signals is a cutting-edge, multi-functional trading tool designed for advanced traders seeking to identify high-probability trade setups. This script combines price action analysis, machine learning techniques, and real-time signal generation across multiple timeframes to provide actionable insights. The indicator is optimized for both bullish and bearish market conditions and includes features like backtesting metrics, take-profit tools, and customizable alerts.
Key Features
1. Machine Learning and Statistical Clustering
The script implements the K-Means clustering algorithm , a widely used unsupervised machine learning technique, to segment historical price movements into distinct clusters based on magnitude and distribution characteristics. These clusters represent quantized levels of bullish and bearish momentum, enabling the system to adaptively model market behavior across varying volatility regimes.
By applying this statistical clustering approach to real-time price data, the algorithm dynamically identifies meaningful thresholds for key Smart Money Concepts (SMC) such as Break of Structure (BOS) and Change of Character (CHOCH) . This integration enhances classical SMC logic with a data-driven, self-adjusting mechanism that responds to evolving market conditions, effectively bridging traditional price action analysis with modern machine learning methodologies.
2.Multi-Timeframe Table:
A dynamic, real-time multi-timeframe table displayed on the chart that provides at-a-glance insight into:
-Current trend or signal status per timeframe
-Percentage price change relative to the previous bar
-Countdown to the next bar open , updated every second
This table empowers traders with cross-timeframe context , helping them identify confluence, reversals, or divergences across multiple horizons — from scalping (1m) to long-term trends (1D).
3.Dynamic Trailing Stops with Enhanced Visualization
The dynamic trailing stop mechanism adjusts based on volatility clusters, ensuring tighter risk
management during low-volatility periods and wider stops during high-volatility phases.
The feed speed feature enhances visualization by adjusting the transparency of candle
coloring relative to the trailing stop. This makes it easier to interpret trend strength and
momentum, allowing traders to stay ahead of price action.
4.Customizable Alerts for Seamless Execution
Sublimia Signals offers highly customizable alerts that can be tailored to specific timeframes
and trading preferences.
With the intra-bar calculation feature, alerts can be triggered on every tick rather than just
on bar close, empowering traders to act swiftly in fast-moving markets.
Personalized alert messages allow you to create clear and concise notifications for entry and
exit points, streamlining your trading workflow.
5.Comprehensive Backtesting Metrics
The built-in performance metrics table provides detailed backtesting results, including total
trades, win rates, cumulative profit/loss, profit factor, best profit, and worst loss for both
long and short positions.
These metrics enable traders to evaluate the effectiveness of their strategies and optimize
input parameters for better performance.
6.Non-Standard Candle Integration for Smoother Price Action Analysis
The optional Non-Standard Candle toggle allows users to switch between "Traditional", "Heikin-Ashi", "Volume-Weighted" and "Hybrid" candles.
This feature is particularly useful for identifying trends and filtering out market noise, while
backtesting remains based on normal candles to ensure accuracy.
7.Intra-Bar Calculation for Granular Insights
When enabled, the intra-bar calculation feature provides granular insights into price
movements within each bar, offering traders a deeper understanding of market dynamics.
This feature also modifies the algorithm's logic, triggering alerts on every tick rather than just
on bar close, making it ideal for scalpers and day traders who need ultra-responsive tools.
8.Take-Profit/Trailing-Profit Tools: Precision and Flexibility
This feature allows you to set multiple profit levels with customizable percentage
distances, giving you unparalleled control over your trades.
Selectable Type of exit mode : Take-Profit or Trailing-Profit.
Selectable Number of Profit Levels: Define as many profit targets as you need,
ensuring you can capture profits at different stages of price movement.
Percentage-Based Distance: Set each profit level based on a percentage distance from
your entry point. This ensures precise positioning tailored to your risk-reward preferences.
Integrated Alerts: Never miss an opportunity! The tool includes built-in alerts that notify you
when each take-profit level is reached, keeping you informed in real-time.
9.Optimized Visualization
The script ensures optimized visualization of trend strength through smooth transitions in
candle transparency, making it easier to interpret market momentum.
The feed speed parameter calculates how quickly the candle coloring adjusts relative to the
trailing stop, enhancing clarity and decision-making.
How it work
Identify the Primary Trend Using Multi-Timeframe Analysis :
Focus on Higher Timeframes : Start by analyzing the 4h, 8h, or 24h timeframes to determine the primary trend. These higher timeframes provide a clearer picture of long-term momentum.
The built-in table provides real-time updates across all primarly timeframes. Look for confluence—when multiple timeframes align in the same direction.
Confirm Entry Points Using Lower Timeframes :
Fine-Tune Entries with Shorter Timeframes : Once you’ve identified the primary trend, use lower timeframes (e.g., 1m, 5m, or 15m ) to confirm entry points.
Set Take-Profit Levels Based on Percentage Distances :
Customizable Take-Profit Tools : Use the take-profit feature to set multiple levels based on percentage distances from your entry point.
Use Customizable Alerts for Real-Time Updates :
Enable alerts for specific timeframes (e.g., 4h, 8h, 15m) to stay informed about changes in the primary trend or short-term opportunities.
For fast-moving markets, enable the intra-bar calculation feature to receive alerts on every tick, ensuring you don’t miss critical entries or exits.
Backtesting for Strategy Optimization :
Performance Metrics : Use the backtesting metrics table to evaluate how well your trend-following strategy performs over time. Analyze win rates, profit factor, and best/worst trades to refine your approach.
Adjust Inputs : Fine-tune settings like slippage and commission(%) to optimize the indicator for your prefer pair.
Please Note:
This indicator is provided for informational and educational purposes only. It is not financial advice, and it should not be considered a recommendation to buy, sell, or trade any financial instrument. Trading involves significant risks, including the potential loss of your entire investment. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
The results and images provided are based on algorithms and historical/paid real-time market data but do not guarantee future results or accuracy. Use this tool at your own risk, and understand that past performance is not indicative of future outcomes.
Alpha Cloud Algo 2.0 Bybit SpecialAlpha Cloud Algo 2.0 Bybit Special Version
Sürüm Notları:
I'm excited to introduce 'Alpha Cloud Algo Version 2' to you! This advanced technical analysis indicator helps you evaluate market trends and potential trading signals. Here are the current features of Alpha Cloud Algo:
1️⃣ 📈 Technical Indicators: The Technical Indicators table in version 1.3 of the indicator has been completely rewritten and enhanced. We have integrated several indicators such as Trend indicator with my custom Ichimoku settings, PDPOC (Previous Day's Point Of Control), PWPOC (Previous Week's Point of Control), RSI, Stoch, MACD, VWAP, and Volume Bars. With this update, you can visualize market trends and trading signals more effectively.
2️⃣ ⏰ Multi-Timeframe Support: With Alpha Cloud Algo V.II, we offer the ability to use support and resistance levels of the Clouds across multiple timeframes. This feature allows for more comprehensive analysis and helps you make accurate decisions.
3️⃣ 💭 SR Channels: The SR Channels indicator, used to determine support and resistance levels, has been integrated into Alpha Cloud Algo 2. This special indicator analyzes price movements, identifies important levels, and displays them in the form of channels on the chart. You can view support and resistance levels from any timeframe on the chart and also in tabular form.
4️⃣ ☁️ Trend Cloud Indicator: Alpha Cloud Algo 2 utilizes trend clouds to determine the direction and strength of the trend. It provides multiple layers of trend clouds, each representing a different timeframe. With this customized indicator, you can understand trends more clearly and analyze price movements effectively.
5️⃣ ➿ Auto Fibonacci: The latest feature of Alpha Cloud Algo includes automatic Fibonacci drawing. The indicator automatically plots potential support and resistance levels using specific ratios (such as 0, 0.382, 0.618, 0.886, and 1). You can adjust these ratios as desired.
Alpha Cloud Algo combines the power of technical analysis tools to help you better assess opportunities in the market. You can use Alpha Cloud Algo to enhance your trading strategies and make more informed decisions.
Using Alpha Cloud Algo is also very user-friendly. You can analyze using technical indicators, multi-timeframe support, SR channels, and automatic Fibonacci drawing to identify trends and evaluate trading signals. This provides you with a better trading experience and can increase your profitability.
To use Alpha Cloud Algo, you need to create an account on Tradingview and complete the Alpha Cloud Algo membership process. This way, you have the freedom to trade on any device, anytime, and anywhere.
Alpha Cloud Algo performs analyses using up-to-date and accurate market data, and presents you with the latest trading opportunities. Its user-friendly interface enables you to perform quick and easy analyses as desired.
Take technical analysis to the next level with Alpha Cloud Algo and make more successful trading decisions.
Turkish Translate ;
‘Alpha Cloud Algo Versiyon 2’yi size tanıtmaktan mutluluk duyuyorum! Bu gelişmiş teknik analiz indikatörü, piyasa trendlerini ve olası ticaret sinyallerini değerlendirmenize yardımcı olur. İşte Alpha Cloud Algo'nun güncel özellikleri:
1️⃣ 📈 Teknik Göstergeler: İndikatörün 1.3 versiyonundaki Teknik Göstergeler tablosu tamamen yeniden yazıldı ve geliştirildi. Benim özel Ichimoku ayarlarımda Trend göstergesini, PDPOC (Bir önceki günün Point Of Control bölgesi), PWPOC (Bir önceki haftanın Point of Control Bölgesi), RSI, Stoch, MACD, VWAP ve Volume Barları gibi birçok göstergeyi entegre ettik. Bu güncelleme sayesinde piyasa trendlerini ve ticaret sinyallerini daha iyi görselleştirebilirsiniz.
2️⃣ ⏰ Çoklu Zaman Dilimi Desteği: Alpha Cloud Algo V.II ile birlikte, Bulutların destek ve direnç seviyelerini birden çok zaman diliminde kullanabilme imkanı sunuyoruz. Bu özellik sayesinde daha kapsamlı bir analiz yapabilir ve doğru kararlar alabilirsiniz.
3️⃣ 💭 SR Kanalları: Destek ve direnç seviyelerini belirlemek için kullanılan SR Kanalları indikatörü, Alpha Cloud Algo 2 ile entegre hale getirildi. Bu özel gösterge, fiyat hareketlerini analiz ederek önemli seviyeleri tespit eder ve bunları kanallar halinde gösterir. Çoklu zaman diliminde baktığınız grafiğe istediğiniz zaman dilimindeki destek ve direnç seviyelerini hem grafik üzerinde görüntüleyebilir hem de tablo şeklinde görebilirsiniz.
4️⃣ ☁️ Trend Bulutu Göstergesi: Alpha Cloud Algo 2, trendin yönünü ve gücünü belirlemek için trend bulutlarını kullanır. Birden fazla trend bulutu katmanı sunar ve her katman farklı bir zaman dilimini temsil eder. Bu özelleştirilmiş gösterge sayesinde trendi daha net bir şekilde anlayabilir ve fiyat hareketlerini analiz edebilirsiniz.
5️⃣ ➿ Otomatik Fibonacci: Alpha Cloud Algo'nun en yeni özelliği, otomatik Fibonacci çizimini içerir. İndikatör, belirli oranları (0, 0.382, 0.618, 0.886 ve 1 gibi) kullanarak potansiyel destek ve direnç seviyelerini otomatik olarak çizer. Bu oranları isteğe bağlı olarak ayarlayabilirsiniz.
Alpha Cloud Algo, teknik analiz araçlarının gücünü bir araya getirerek, piyasadaki fırsatları daha iyi değerlendirmenizi sağlar. Ticaret stratejilerinizi geliştirmek ve kararlarınızı daha bilinçli bir şekilde vermek için Alpha Cloud Algo'yu kullanabilirsiniz.
Alpha Cloud Algo'nun kullanımı da oldukça kolaydır. Teknik göstergeleri, çoklu zaman dilimi desteğini, SR kanallarını ve otomatik Fibonacci çizimini kullanarak analiz yapabilir, trendleri belirleyebilir ve ticaret sinyallerini değerlendirebilirsiniz. Bu da size daha iyi bir ticaret deneyimi sunar ve karlılığınızı artırabilir.
Alpha Cloud Algo'yu kullanmak için Tradingview'da bir hesap oluşturmanız ve Alpha Cloud Algo üyelik işlemini tamamlamanız gerekmektedir. Böylece herhangi bir cihazda, istediğiniz zaman ve herhangi bir yerde ticaret yapabilme özgürlüğüne sahip olursunuz.
Alpha Cloud Algo, güncel ve doğru piyasa verilerini kullanarak analizler yapar ve size en güncel ticaret fırsatlarını sunar. Ayrıca, kullanıcı dostu arayüzü sayesinde hızlı ve kolay bir şekilde istediğiniz analizi yapmanızı sağlar.
Alpha Cloud Algo ile teknik analizi bir adım öteye taşıyın ve daha başarılı ticaret kararları alın.
Model Indicator |ASE|The purpose of this indicator is to allow the user to build their own model. Each feature works cohesively together and depending on the filters you enable, the model gives less and more specific entries. This benefits the trader because they have complete control over the kinds of trades they want to take, while maintaining its automatic form.
We want to be as customizable as possible while still meeting our users’ needs. We started this indicator to propel us into our ultimate project, the ASE Algo.
Features:
SMC Display
Current Structure:
Liquidity Levels:
Daily Premium Discount Array
SMT Divergence
Displacement Candles:
Entry Factors
FVG
Continuation FVGs
MTF FVGs
Order Blocks
MTF Order Blocks
Confluence Filters
MS Reversal
Liquidity Level Raid
Inducement
Daily Prem/Disc Array
Target Factors
Liquidity Level Targets
Current Structure Targets
Trade Management
Trade Overlay
Risk:Reward Target
Benefits & Examples:
In the image below the indicator signaled multiple entries based on two simple confluence filters, a MS reversal (CHoCH/MSS) and a Liquidity Raid. Going from left to right we can see a short entry at the highs with a supporting Order Block. Liquidity levels are taken before we see a double IDM right below the respected OB that leads to the next signaled entry. In the middle of the chart we see a long entry that leads right into a short entry showing the effectiveness of such a simple model.
In this supporting image we are showcasing the first implementation of the Trade Overlay feature. This feature displays the Entry and Stop Loss to make it more visible and adds a risk to reward target. Additionally displayed is the SMC Toolkit indicator showing us additional confirmation with our signaled entries playing right out of a higher timeframe FVG.
An additional entry feature is the MTF zone. Setups can form on all timeframes and subjecting yourself to only one may lead you to miss out on some perfect setups or a larger move. In the image below we are on the 1 minute timeframe. We can see the Initial Reversal Entry which played out beautifully and filled a higher timeframe SFVG. With the MTF zone we can see a 3 minute and 5 minute Zone which produces the rest of the trend reaching another higher timeframe SFVG after filling the previous one. Once again showing the benefit of the Toolkit indicator but the plotted entries from such a simple model.
In addition to the model indicators filtered out entry zone, we can use additional confluences to confirm these entries. In the image below we can see a short entry printed after a move out of the Std. Dev. vwap wave which shows over extension. Taking the entry we can have a tight stop loss at the vwap wave or the recent high where we have a liquidity level, targeting a lower liquidity level or higher timeframe FVG.
For this example we are only filtering based on MS Reversals (CHoCH/MSS) to get our entries. Because of this we need additional confirmation to be confident in taking the plotted entry. In the image below you can see a long signal printed, confirmation being the previous Failed Reversal.
Honest Algo PremiumThis toolkit is a collection of innovative indicators, carefully designed to be as user friendly as possible. Get access to a collection of all the best we can offer in one indicator.
Providing Multiple Trading Styles
Our toolkit works in any market but has been specifically designed for Bitcoin and Forex.
Detect the direction of the trend using an algorithm based on our bounce manager ATR consolidation filtering
Find bounces from a handful of different pre-determined lines, the include a 20 period EMA, a supertrend, a T3 moving average and kijun-sen
Detect Rob Smith #thestrat entries
Filter out noise with our environment filters
and much more. (Check the changelog below for future additions)
If you want more information on how the price action entries of Rob Smith #thestrat work, there are many tutorials on the internet.
When using Rob Smith #thestrat entries the indicator uses bounce manager with a 200 period EMA for trend based bar coloring.
A quick explanation how it finds bounces from these lines:
Filter signals based on timeframe continuity
Timeframe continuity is a method of market analysis where you look if multiple different timeframe charts are in the same direction.
For example:
default settings we are in bull territory when the yearly, the quarterly, the monthly and the weekly candle all are green.
default settings we are in bear territory when the yearly, the quarterly, the monthly and the weekly candle all are red.
We provided multiple presets but it is recommended to use the standard preset, timeframe continuity is the strongest when using higher timeframes.
Filter signals based on market environment
We realised that trading long or short in an environment with no resistances increased our algorithms success rate.
How the algorithm does this:
1: See which timeframes the user has selected as a filter, on default these are:
Needs to be outside timeframe 1 (yearly), false
Needs to be outside timeframe 2 (quarterly), false
Needs to be outside timeframe 3 (monthly), true
2: Check if our closing price is above those timeframes previous candle high or below previous candle low.
This in combination with timeframe continuity gives a great tool to find the sentiment of the market and trade in the direction of the market.
Turn on autopilot using our signals
This tool is not made to do all decisions for you and requires a manager (you). The basic strategy using the #thestrat preset is to scale into positions on the 4H or higher timeframe, whenever a signal is fired you add to your position and as trend keeps developing the tool will keep adding to your positions.
A good manager knows risk management and does not use a very large position size per entry and builds a position over time.
We recommend you use a timeframe of 4H or higher and diversify over multiple assets. The indicator works best on assets that overtime have created long lasting trends.
Examples of perfect coins to use this on.
We know traders love clean looking charts
This is wy we added some popular indicators to our toolkit, these you can find on tradingview for free but we added them into our toolkit using our color theme, you can find these in the settings under (extra tools).
We also added an option to display bounce source, this is the source line some of our signal presets use to find bounces from using preset bounce manager parameter.
TrustedSignals™TrustedSignals Indicator includes standard Buy and Sell signals on the chart, Support & Resistance lines, Auto-Trendlines, AutoFibs and an All-in-One Market Dashboard.
(All these signals can be set up as Live Alerts directly in Tradingview)
The 2 main Input options for this algorithm are ' Reactivity ' and ' Depth '. By default, the indicator is added to your chart with the best settings we've found so far.
-The ' Reactivity ' controls how quickly the algorithm reacts to trend changes. The higher the reactivity, the fewer trades on the chart. If the Reactivity input is low, the algorithm will react more quickly, and show more frequent trades.
-The ' Depth ' controls the position of the signals relative to the trend swing. A lower Depth will allow for more frequent and earlier entries, while a higher Depth will give slower entries.
Our third (secondary) input is ' Trend Length ' (the Lookback of the ' Current Trend ' indicator). TrustedSignals™ is coloring the candles based on the current trend direction. The blue color shows an uptrend, while the red color shows a downtrend. Buy and Sell signals alerted while the current trend is showing pink (Sideways Market) should be taken carefully, as the market direction is not decided.
Since we believe in the idea of an ' All-in-One ' Indicator, we have included 3 more extremely useful and powerful trading tools.
-The first optional feature is the ' Support and Resistance ' lines. This feature can be activated to draw the key levels of Support and Resistance, easing your decision making and reinforcing the entry signals. Those levels can also be used as Stop Loss or Take Profit
-The second optional feature is the ' Auto-Trendlines '. This part of our amazing indicator automatically draws Trendlines based on the Lookback period the user inputs.
-The last and most important optional feature is the ' AutoFibs '. TrustedSignals™ will automatically draw Fibonacci Retracement levels from trend swing key points. (the lookback length can be adjusted by the user)
- Market Dashboard -
Within one simple panel on your chart, our Dashboard displays the most relevant data from all of our features in real-time.
Current Trend
(The bar color) is an indicator based on Murrey Math's lines. These lines are based on the idea that according to Gann, price moves in 1/8's that act as points of support and resistance. Given this 1/8 characteristic of price action, we assigned properties to each of the lines in a given octave, obtaining a perfect Trend Indicator shown by the candle color, ranging from red to orange to blue.
Market Sentiment
Market Sentiment is a zero lag, 'noise-free', custom improved version of the old 'Relative Strength Indicator ( RSI )' It measures trend velocity and momentum, while it charts the current and historical strength or weakness of the market. It is a much more accurate and vastly superior than the usual RSI.
Trusted Sginals Oscillator
TS Oscillator is our own branded indicator used to measure market momentum and determines whether bullish or bearish trend dominates the market. It measures the market momentum, with the aim to detect potential trend direction. Helping you to identify if the price is high or low in comparison to the recent price behavior.
Outputs: "Strong Bearish ", "Weak Bearish", "Strong Bullish ", "Weak Bullish"
Higher Timeframe Trend is a trend indicator based on our own non-repainting calculation of higher timeframe trend. It is based on a custom method that builds synthetic support and resistance lines from higher time, without repainting, while keeping the output extremely accurate.
Use the link below to obtain access to this indicator
[GM ELITE] Dynamic_Introduction
This is the first of the GM ELITE indicator range. Designed for Algorithmic Traders looking to speed up their process of testing and optimizing their algorithm. This script contains an entire suite of indicators, that work together in unison to find optimal trade entries, based on NNFX rules. There are two versions of this script. One is a strategy and built in back-tester, and the other will update in real time designed for live trading and forward testing.
This script is for live trading/forward testing.
Entries/Exits
The System has 5 indicator slots, and the user can choose one indicator per slot
- Trend Confirmation Indicators to pick when the market has taken off
- Volume and volatility Indicators to determine the strength of the trend or whether the market is ranging.
- Moving Averages for trend bias
- Exit Indicators to signal when to get out!
Money Management
Dynamic allows you to choose your Stop Loss and Take Profit distance based on a multiplier x ATR.
Options to exit the whole trade at TP or at a signal from the exit indicator of your choosing.
Start and End times (Window) to backtest.
Forex - $EVZ
Euro Volatility FX Vix ( aka $EVZ) is built in. You can toggle a filter for low $EVZ or whether or not EVZ is above average. No signals will be given if EVZ is below threshold. EVZ is one of the best indicators of overall forex market volume and volatility .
Customization
Several visual and color customization options. Thousands of possible parameter combinations.
The "bias" or mode of the Confirmation Indicators appears at the top and bottom of the screen as horizontal rows of triangles.
For any two-line Indicator (eg MACD ) if the fast line is above the slow line, the triangles are green, other-wise, they are red.
For any "Level Cross" indicator, when the line is above the level, the triangles are green, otherwise, they are red.
The Arrows at the bottom of the screen determine whether or not there is sufficient volume
Profitable Jurik RSXIntroduction
As you know the Jurik RSX is a "noise free" smoothed version of RSI (Relative Strength Index), with no added lag.
It was originally developed by Mark Jurik and is used the same way as RSI. To learn more about this indicator see www.jurikres.com
The most basic and common strategy is to use the crossovers between Jurik RSX and its overbought/oversold levels as trade signals:
when RSX crosses above 30, go Long
when RSX crosses below 70, go Short
exit when a crossover occurs in the opposite direction
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable settings for Jurik RSX. It analyzes the range of periods between 2 to 100 and backtests the Jurik RSX for each period (using the strategy mentioned above) across the entire history of an instrument. If the more profitable parameter was found, the indicator will switch its value to the found one immediately.
So, instead of manually selecting parameters just apply it to your chart and relax - the algorithm will do it for you, everywhere you want.
The algorithm can work in two modes: Basic and Early Switch. The Early Switch algorithm makes some assumptions and activates a set of optimizations to find a better setting DURING the trades, not after they were actually closed.
The difference is illustrated on the screenshot below
But two modes can show identical values depending on timeframe
Additionally you can set up a backtest window through indicator's settings (the optimizers which were published before will get this feature soon).
Alerts
It has a special alert that notifies when a more profitable period was detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Profitable RSI (Relative Strength Index)Introduction
As you know the Relative Strength Index (RSI) was originally developed by J. Welles Wilder and was described in his book "New Concepts in Technical Trading Systems" (1978). It is intended to measure the strength or weakness of an instrument for the specified period.
The most basic strategy is to use the crossovers as trade signals:
when RSI crosses above 30, go Long
when RSI crosses below 70, go Short
Exit when a crossover occurs in the opposite direction
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable settings for RSI. It analyzes the range of periods between 2 to 100 and backtests the RSI for each period using the strategy mentioned above across the entire history of an instrument. If the more profitable parameter was found, the indicator will switch its value to the found one immediately.
So, instead of manually selecting parameters just apply it to your chart and relax - the algorithm will do it for you.
The algorithm can work in two modes: Basic and Advanced "Early Switch" . The Early Switch algorithm makes some assumptions and activates a set of optimizations to find the better setting DURING the trades, not after they were closed.
The difference is illustrated on the screenshot below:
Additionally you can set up a backtest window through indicator's settings (the optimizers which were published before will get this feature soon).
Alerts
It has a special alert that notifies when a more profitable period was detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Day after day. Night after night.
I've been waiting to program again.
Day after day. Night by to night.
Trading is waiting inside your heart.
Profitable AroonIntroduction
The Aroon indicator was developed by well-known technical analyst Tushar Chande in 1995 and is used to identify trend changes in the price of an asset, as well as the strength of that trend. The fact that he named the indicator "Aroon" which is Sanskrit for "Dawn’s Early Light" demonstrates his belief in his indicator's trend discovery capabilities.
It is composed of two lines, Aroon Up and Aroon Down .
The most basic strategy is to use the crossovers as trade signals:
when Aroon Up crosses above Aroon Down , go Long
when Aroon Down crosses above Aroon Up , go Short
Exit when a crossover occurs in the opposite direction
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable period setting for the Aroon. It analyzes the range of periods between 2 to 100 and backtests the Aroon indicator for each period using the strategy mentioned above across the entire history of an instrument. If a more profitable parameter was found, the indicator will switch its value to the found one immediately.
Alerts
It has an alert that notifies when a more profitable period was found.
NOTE : It does not change what has already been plotted.
Good luck and Happy Trading!
DTFX Algo Zones [SamuraiJack Mod]CME_MINI:NQ1!
Credits
This indicator is a modified version of an open-source tool originally developed by Lux Algo. I literally modded their indicator to create the DTFX Algo Zones version, incorporating additional features and refinements. Special thanks to Lux Algo for their original work and for providing the open-source code that made this development possible.
Introduction
DTFX Algo Zones is a technical analysis indicator designed to automatically identify key supply and demand zones on your chart using market structure and Fibonacci retracements. It helps traders spot high-probability reversal areas and important support/resistance levels at a glance. By detecting shifts in market structure (such as Break of Structure and Change of Character) and highlighting bullish or bearish zones dynamically, this tool provides an intuitive framework for planning trades. The goal is to save traders time and improve decision-making by focusing attention on the most critical price zones where market bias may confirm or reverse.
Logic & Features
• Market Structure Shift Detection (BOS & CHoCH): The indicator continuously monitors price swings and marks significant structure shifts. A Break of Structure (BOS) occurs when price breaks above a previous swing high or below a swing low, indicating a continuation of the current trend. A Change of Character (ChoCH) is detected when price breaks in the opposite direction of the prior trend, often signaling an early trend reversal. These moments are visually marked on the chart, serving as anchor points for new zones. By identifying BOS and ChoCH in real-time, the DTFX Algo Zones indicator ensures you’re aware of key trend changes as they happen.
• Auto-Drawn Fibonacci Supply/Demand Zones: Upon a valid structure shift, the indicator plots a Fibonacci-based zone between the breakout point and the preceding swing high/low (the source of the move). This creates a shaded area or band of Fibonacci retracement levels (for example 38.2%, 50%, 61.8%, etc.) representing a potential support zone in an uptrend or resistance zone in a downtrend. These supply/demand zones are derived from the natural retracement of the breakout move, highlighting where price is likely to pull back. Each zone is essentially an auto-generated Fibonacci retracement region tied to a market structure event, which traders can use to anticipate where the next pullback or bounce might occur.
• Dynamic Bullish and Bearish Zones: The DTFX Algo Zones indicator distinguishes bullish vs. bearish zones and updates them dynamically as new price action unfolds. Bullish zones (formed after bullish BOS/ChoCH) are typically highlighted in one color (e.g. green or blue) to indicate areas of demand/support where price may bounce upward. Bearish zones (formed after bearish BOS/ChoCH) are shown in another color (e.g. red/orange) to mark supply/resistance where price may stall or reverse downward. This color-coding and real-time updating allow traders to instantly recognize the market bias: for instance, a series of bullish zones implies an uptrend with multiple support levels on pullbacks, while consecutive bearish zones indicate a downtrend with resistance overhead. As old zones get invalidated or new ones appear, the chart remains current with the latest key levels, eliminating clutter from outdated levels.
• Flexible Customization: The indicator comes with several options to tailor the zones to your trading style. You can filter which zones to display – for example, show only the most recent N zones or limit to only bullish or only bearish zones – helping declutter the chart and focus on recent, relevant levels. There are settings to control zone extension (how far into the future the zones are drawn) and to automatically invalidate zones once they’re no longer relevant (for instance, if price fully breaks through a zone or a new structure shift occurs that supersedes it). Additionally, the Fibonacci retracement levels within each zone are customizable: you can choose which retracement percentages to plot, adjust their colors or line styles, and decide whether to fill the zone area for visibility. This flexibility ensures the DTFX Algo Zones can be tuned for different markets and strategies, whether you want a clean minimalist look or detailed zones with multiple internal levels.
Best Use Cases
DTFX Algo Zones is a versatile indicator that can enhance various trading strategies. Some of its best use cases include:
• Identifying High-Probability Reversal Zones: Each zone marks an area where price has a higher likelihood of stalling or reversing because it reflects a significant prior swing and Fibonacci retracement. Traders can watch these zones for entry opportunities when the market approaches them, as they often coincide with order block or strong supply/demand areas. This is especially useful for catching trend reversals or pullbacks at points where risk is lower and potential reward is higher.
• Spotting Key Support and Resistance: The automatically drawn zones act as dynamic support (below price) and resistance (above price) levels. Instead of manually drawing Fibonacci retracements or support/resistance lines, you get an instant map of the key levels derived from recent price action. This helps in quickly identifying where the next bounce (support) or rejection (resistance) might occur. Swing traders and intraday traders alike can use these zones to set alerts or anticipate reaction areas as the market moves.
• Trend-Following Entries: In a trending market, the indicator’s zones provide ideal areas to join the trend on pullbacks. For example, in an uptrend, when a new bullish zone is drawn after a BOS, it indicates a fresh demand zone – buying near the lower end of that zone on a pullback can offer a low-risk entry to ride the next leg up. Similarly, in a downtrend, selling rallies into the highlighted supply zones can position you in the direction of the prevailing trend. The zones effectively serve as a roadmap of the trend’s structure, allowing trend traders to buy dips and sell rallies with greater confidence.
• Mean-Reversion and Range Trading: Even in choppy or range-bound markets, DTFX Algo Zones can help find mean-reversion trades. If price is oscillating sideways, the zones at extremes of the range might mark where momentum is shifting (ChoCH) and price could swing back toward the mean. A trader might fade an extended move when it reaches a strong zone, anticipating a reversion. Additionally, if multiple zones cluster in an area across time (creating a zone overlap), it often signifies a particularly robust support/resistance level ideal for range trading strategies.
In all these use cases, the indicator’s ability to filter out noise and highlight structurally important levels means traders can focus on higher-probability setups and make more informed trading decisions.
Strategy – Pullback Trading with DTFX Algo Zones
One of the most effective ways to use the DTFX Algo Zones indicator is trading pullbacks in the direction of the trend. Below is a step-by-step strategy to capitalize on pullbacks using the zones, combining the indicator’s signals with sound price action analysis and risk management:
1. Identify a Market Structure Shift and Trend Bias: First, observe the chart for a recent BOS or ChoCH signal from the indicator. This will tell you the current trend bias. For instance, a bullish BOS/ChoCH means the market momentum has shifted upward (bullish bias), and a new demand zone will be drawn. A bearish structure break indicates downward momentum and creates a supply zone. Make sure the broader context supports the bias (e.g., if multiple higher timeframe zones are bullish, focus on long trades).
2. Wait for the Pullback into the Zone: Once a new zone appears, don’t chase the price immediately. Instead, wait for price to retrace back into that highlighted zone. Patience is key – let the market come to you. For a bullish setup, allow price to dip into the Fibonacci retracement zone (demand area); for a bearish setup, watch for a rally into the supply zone. Often, the middle of the zone (around the 50% retracement level) can be an optimal area where price might slow down and pivot, but it’s wise to observe price behavior across the entire zone.
3. Confirm the Entry with Price Action & Confluence: As price tests the zone, look for confirmation signals before entering the trade. This can include bullish reversal candlestick patterns (for longs) or bearish patterns (for shorts) such as engulfing candles, hammers/shooting stars, or doji indicating indecision turning to reversal. Additionally, incorporate confluence factors to strengthen the setup: for example, check if the zone overlaps with a key moving average, a round number price level, or an old support/resistance line from a higher timeframe. You might also use an oscillator (like RSI or Stochastic) to see if the pullback has reached oversold conditions in a bullish zone (or overbought in a bearish zone), suggesting a bounce is likely. The more factors aligning at the zone, the more confidence you can have in the trade. Only proceed with an entry once you see clear evidence of buyers defending a demand zone or sellers defending a supply zone.
4. Enter the Trade and Manage Risk: When you’re satisfied with the confirmation (e.g., price starts to react positively off a demand zone or shows rejection wicks in a supply zone), execute your entry in the direction of the original trend. Immediately set a stop-loss order to control risk: for a long trade, a common placement is just below the demand zone (a few ticks/pips under the swing low that formed the zone); for a short trade, place the stop just above the supply zone’s high. This way, if the zone fails and price continues beyond it, your loss is limited. Position size the trade so that this stop-loss distance corresponds to a risk you are comfortable with (for example, 1-2% of your trading capital).
5. Take Profit Strategically: Plan your take-profit targets in advance. A conservative approach is to target the origin of the move – for instance, in a long trade, you might take profit as price moves back up to the swing high (the 0% Fibonacci level of the zone) or the next significant zone or resistance level above. This often yields at least a 1:1 reward-to-risk ratio if you entered around mid-zone. More aggressive trend-following traders may leave a portion of the position running beyond the initial target, aiming for a larger move in line with the trend (for example, new higher highs in an uptrend). You can also trail your stop-loss upward behind new higher lows (for longs) or lower highs (for shorts) as the trend progresses, locking in profit while allowing for further gains.
6. Monitor Zone Invalidation: Even after entering, keep an eye on the behavior around the zone and any new zones that may form. If price fails to bounce and instead breaks decisively through the entire zone, respect that as an invalidation – the market may be signaling a deeper reversal or that the signal was false. In such a case, it’s better to exit early or stick to your stop-loss than to hold onto a losing position. The indicator will often mark or no longer highlight zones that have been invalidated by price, guiding you to shift focus to the next opportunity.
Risk Management Tips:
• Always use a stop-loss and don’t move it farther out in hope. Placing the stop just beyond the zone’s far end (the swing point) helps protect you if the pullback turns into a larger reversal.
• Aim for a favorable risk-to-reward ratio. With pullback entries near the middle or far end of a zone, you can often achieve a reward that equals or exceeds your risk. For example, risking 20 pips to make 20+ pips (1:1 or better) is a prudent starting point. Adjust targets based on market structure – if the next resistance is 50 pips away, consider that upside against your risk.
• Use confluence and context: Don’t take every zone signal in isolation. The highest probability trades come when the DTFX Algo Zone aligns with other analysis (trend direction, chart patterns, higher timeframe support/resistance, etc.). This filtered approach will reduce trades taken in weak zones or counter-trend traps.
• Embrace patience and selectivity: Not all zones are equal. It can be wise to skip very narrow or insignificant zones and wait for those that form after a strong BOS/ChoCH (indicating a powerful move). Larger zones or zones formed during high-volume times tend to produce more reliable pullback opportunities.
• Review and adapt: After each trade, note how price behaved around the zone. If you notice certain Fib levels (like 50% or 61.8%) within the zone consistently provide the best entries, you can refine your approach to focus on those. Similarly, adjust the indicator’s settings if needed – for example, if too many minor zones are cluttering your screen, limit to the last few or increase the structure length parameter to capture only more significant swings.
⸻
By combining the DTFX Algo Zones indicator with disciplined confirmation and risk management, traders can improve their timing on pullback entries and avoid chasing moves. This indicator shines in helping you trade what you see, not what you feel – the clearly marked zones and structure shifts keep you grounded in price action reality. Whether you’re a trend trader looking to buy the dip/sell the rally, or a reversal trader hunting for exhaustion points, DTFX Algo Zones provides a robust visual aid to elevate your trading decisions. Use it as a complementary tool in your analysis to stay on the right side of the market’s structure and enhance your trading performance.
Swing [SMRT Algo]The SMRT Algo Swing indicator is a tool tailored for swing trading, designed to provide traders with insights and entry points on higher timeframes, such as the 1-hour (1H) chart and above. This indicator incorporates a range of features to enhance both trend identification and risk management.
Features:
Bar Colors: The indicator employs a straightforward color-coding system to denote market trends: red bars indicate a bearish trend, and green bars indicate a bullish trend. This immediate visual representation aids traders in quickly discerning the prevailing market direction, facilitating swift decision-making.
Buy & Sell Signals: SMRT Algo Swing generates distinct buy and sell signals categorized into two levels, weak and strong.
- Weak Signals: These signals are generated when the basic entry criteria are met. They serve as early alerts to potential trading opportunities, suitable for traders willing to take on more risk or those employing a more aggressive trading strategy.
- Strong Signals: Generated when additional, more stringent conditions are satisfied, these signals indicate higher-probability trade setups.
EMA Filter: The Exponential Moving Average (EMA) filter is a feature that facilitates trend trading. When turned on, the filter ensures that only signals that align with the prevailing trend are displayed. This helps in avoiding counter-trend trades, which can be riskier and less reliable. The EMA length is customizable, allowing traders to adjust the sensitivity of trend detection based on their trading style and market conditions.
Take Profit & Stop Loss Levels: TP & SL levels are pre-calculated based on a risk-reward ratio:
- TP1: Indicates a conservative 1:1 risk-reward ratio, suitable for quick profit-taking. Goes up to TP3. This approach to TP and SL can help traders define their risk exposure clearly and set realistic profit targets.
Strong signals are designed to provide highly accurate entry points, often referred to as "sniper entries," due to their precision in aligning with market trends. The option to display weak, strong, or both types of signals allows traders to tailor the indicator to their specific trading preferences and risk profiles.
Input Settings:
Bar Color: Bar colors can be turned on/off. Green candles show a bullish market/trend, while red candles show bearish.
Signal: Choose to show either only Strong/Weak/Both buy & sell signals.
Lookback Period: The higher the lookback period, the less frequent the signals. Adjusting this value affects the frequency of the buy sell signals.
EMA Filter: Trend filter can be turned on/off. If on, it will only show buy signals that are above the EMA, and sell signals that are below the EMA.
Timeframe: EMA timeframe can be adjusted, i.e. to view higher timeframe trends.
Length: Used to adjust EMA length. A smaller value means that EMA is more susceptible to market movements.
TP/SL: The take profit & stop loss zones can be turned on/off. The size of TP/SL can also be adjusted by increasing or decreasing the multiplier and length values.
EMA Filter Off:
EMA Filter On:
We recommend traders use this indicator on timeframes 1H and above, with the goal of holding trades over a longer period of time (days, weeks, months) to maximize the market moves.
The integration of these features ensures that the SMRT Algo Swing indicator functions as a cohesive and robust tool for swing traders. The color-coded bars provide an at-a-glance trend overview, which is crucial for context. The buy/sell signals, especially the strong signals, offer entry points that are carefully vetted by the indicator's algorithms. The EMA filter adds a layer of trend confirmation, ensuring that trades are not only timely but also in line with the broader market trend, thereby enhancing the likelihood of success. The TP and SL levels serve as a built-in risk management system, guiding traders on optimal exit points and helping to protect against significant losses.
The SMRT Algo Suite, which the Swing indicator is a part of, offers a comprehensive set of tools and features that extend beyond the capabilities of standard or open-source indicators, providing significant additional value to users.
What you also get with the SMRT Algo Suite:
Advanced Customization: Users can customize various aspects of the indicator, such as toggling the confirmation signals on or off and adjusting the parameters of the MA Filter. This customization enhances the adaptability of the tool to different trading styles and market conditions.
Enhanced Market Understanding: The combination of pullback logic, dynamic S/R zones, and MA filtering offers traders a nuanced understanding of market dynamics, helping them make more informed trading decisions.
Unique Features: The specific combination of pullback logic, dynamic S/R, and multi-level TP/SL management is unique to SMRT Algo, offering features that are not readily available in standard or open-source indicators.
Educational and Support Resources: As with other tools in the SMRT Algo suite, this indicator comes with comprehensive educational resources and access to a supportive trading community, as well as 24/7 Discord support.
The educational resources and community support included with SMRT Algo ensure that users can maximize the indicators’ potential, offering guidance on best practices and advanced usage.
SMRT Algo believe that there is no magic indicator that is able to print money. Indicator toolkits provide value via their convenience, adaptability and uniqueness. Combining these items can help a trader make more educated; less messy, more planned trades and in turn hopefully help them succeed.
RISK DISCLAIMER
Trading involves significant risk, and most day traders lose money. All content, tools, scripts, articles, and educational materials provided by SMRT Algo are intended solely for informational and educational purposes. Past performance is not indicative of future results. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
New York Happy HourNew York Happy Hour
Script inspired by Stacey Burke’s 'Trading New York Open 1 Hour a Day'. You know where to search. The algos run on New York time. You’ll be looking to trade from 9.30 AM NY EST using a full day of trading data behind you.
Instruments:
- Gold, major currency pairs, indexes, metals and crypto
Timing: 15 Min
Best Trade Setups:
- 3 Levels (HOD/LOD)
- Trend Trades
- Reversal Trades
- Trading Range
- Or what you see best fit
Script Breakdown:
Sessions:
Asia: 8-11 PM
London: 2-5 AM
New York: 8-11 AM
Other lines:
New York Midnight Open
New York Open
London and NY vertical lines
Previous daily and weekly high and low
ApexBull Algorithmic IndicatorOfficial ApexBull ALL IN ONE Algorithm - Swing and Short Term Indicator!
Description:
A new indicator that provides algorithmic entries for longer term swing trading to intraday traders and scalpers. You choose what time frame to trade!
Built-in features allow to separate signals for both longer and shorter term time frames with algorithm using different settings for each to take advantage of short term moves in more aggressive markets, as well as, give you more conservative, more reliable swing trades for longer term investment horizons. Works on anything from monthly to 1 minute charts. We found that most traders should start with 4 and 1 hour time frames with more conservative settings enabled and then venture out into more aggressive territory.
Algorithm is set to target trending movements and ensure you stay out from whipsaw conditions.
The indicator also features a built-in STOP LOSS levels so you dont have to wonder anymore how close or far to set your stop loss and not to be whipsawed out of your winning trades.
If you would like to try out our indicator please send me a direct message here.
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.
Profitable MAMA & FAMA CrossoverIntroduction
The MESA Adaptive Moving Average (MAMA) was originally presented by John F. Ehlers. By design, it is a special kind of Exponential Moving Average with self-adjusting alpha. Its adaptation is based on the rate change of phase as measured by the Homodyne Discriminator and the alpha parameter is allowed to range between a maximum and minimum value (Fast Limit and Slow Limit).
Key Point: Ehlers suggested the maximum value to be 0.5 and the minimum to be 0.05 .
The variable alpha is computed as the Fast Limit divided by the phase rate of change. If the phase rate of change is large, the variable alpha is bounded at the SlowLimit. Then, this alpha is used to compute MAMA and FAMA (Following Adaptive Moving Average).
Should we rely on Ehlers' suggestions if we want to achieve the best result with MAMA & FAMA crossover system?
Well, he is a good specialist and widely recognized author, I respect him, but the answer is no and you can see results on the chart.
What is our goal?
We want to find the best configuration for MAMA & FAMA Crossover. To achieve that we need to analyze the MAMA's alpha parameter or, more specific, the bounds for this parameter, Fast and Slow Limits.
What is this tool?
This tool is a performance optimizer that uses decision tree-based algorithm under the hood to find the most profitable settings for the MAMA & FAMA Crossover. It analyzes a bunch of different Fast Limits (between 0.01 to 0.8 with step of 0.1 ) and Slow Limits (between 0.01 to 0.6 with step of 0.1 ) and backtests each combination across the entire history of an instrument. If the more profitable parameters were found, the indicator will switch its values to the found ones immediately.
So, instead of manually selecting and testing parameters just apply this indicator to your chart and
relax - the algorithm will find the best parameters for you
Alerts
It has a special alert that notifies when the more profitable settings were detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Reference: www.mesasoftware.com
MAMA & FAMA Crossover can be found here:
