SIVE 2.0SIVE 2.0 IS FINALLY HERE, after the long awaited update we are finally able to bring to you SIVE 2.0!
SIVE 1.0 (Systematic Institutional Volatility Expansion) brought a whole new approach to the algorithm and retail trading game on TradingView. Never before have you had access to a quantitative institutional approach like this, after years in development and testing we finally brought SIVE 1.0 to market. With very very high demand, support and so much positive feedback we knew that what we've created really hit the mark for so many traders!
What is SIVE?
SIVE as stated above stands for, Systematic Institutional Volatility Expansion. What this means is we have a highly effective system that reads what institutional algorithms are proven to be looking at. While only providing alerts during periods where Volatility is Expanding
We don't shy away from volatility here, that is where the bread and butter lays. volatility is a double edged sword that not many people know how to effectively use to their advantage. Simply put, because they are told in their retail trading that volatility is risky, and that you should stay away from volatile products. I say embrace it with the right tools.
What Has Changed?
At the core, SIVE 2.0 brings more efficient calculations to the volatility modelling as well as the triggering of trades!
Trend Scalper - This is a sub-set strategy we have included, what it measures is 'Super Trend' with a deviation of 7 and the MTI ribbon crosses. This is to be used as a way to scalp and trade the momentum of the market. I am aware that another brand/community has put this out as a paid feature to their algorithm. Since they didn't want to credit me for my contribution I decided to release it for free and also add it here. This is listed in my scripts as a free to use access.
Volatility Confluence - We have now also added a feature where you can choose how many volatility models you want to be aligned before SIVE calls an alert. There are a total of 9 models we have included, example. You choose 3 'Volatility Confluence', this means that SIVE will only call alerts when 3 of those 9 models agree. This can be very effective if you want to have more refined volatility trades, giving you more confidence that an expansion will take place.
Low Volatility Flashes - You now have the ability to control the low volatility back ground flash feature that was included with SIVE 1.0
Volatility Candles - You can now plot the volatility strength as candles! before you weren't able to see the actual underlaying volatility. Till now, turn this on and watch it turn you candles into a colourful array of the rainbow based on the volatility. Note - You will either need to *bring to front* or turn off the price data to see it
Take Profit System (beta) - Before on SIVE 1.0 and in the beta versions we had an early version of the money management. Where based on the ATR on the trade it would give you a suggested Stop Loss and Take Profit area. Now we have completely over hauled that and re calculated how we approach this also giving the trader 2 different options to choose from for suggested Stop Loss placement. We also included a 'Dynamic Take Profit' system that's based on the MTI to give you momentum based Take Profits. These are still in beta stages so any feedback is much appreciated and as always will be reviewed and considered.
RSI bands - Reverse plot the RSI onto your chart. Plot the over sold and over Bought static lines to price!
Moving Average Filter (Multi Time Frame) - Introducing a way further refine the trade alerts and give more power into the traders hands. We know that many many traders like to only trade if example. price is Greater Than 200 EMA . We wanted to give traders a choice to refine the trade alerts based on this information. You can choose between 'Price vs MA' - which is explained in that example just provided. The other option is 'MA vs MA', this allows you to filter out trades based on if a Moving Average of your choice(MA1) is Greater than MA2. With all this we also provided Multi Time Frame accessibility to just further give the trader more control and range. You also have the ability to just plot the Moving averages and not filter the trades at all!
Kill Zone / Time Sessions - Including another free script that has already been posted to my account. This script is also unique as it plots the specified time zones 24 hours in advanced. If you trade example. 'New York Session', Instead of using an indicator that only shows you after the fact it happens. You can now plot that time zone 24 Hours in advanced and watch how price trades to it and interacts with it. It has 4 completely customizable Time Zone slots. Please adjust to your time zone and desired sessions.
Here are some examples of SIVE working across various charts with the different features
USDCAD - 1 Hour
Take Profit System
XAUUSD(Gold) - 15 min
Trend Scalper System
US30(Dow Jones) - 15 min
Volatility Candles + Low Volatility Flashes
BTCUSD(Bitcoin) - 1 hour
Support / Resistance + Dashboard + Multi Time Frame MTI
USOIL(WTI Crude Oil) - 5m
Kill Zones + Moving Average Filter
APPL(Apple) - 1 hour
Moving Average Filter
Please report any bugs, feedback or suggestions you have about SIVE to myself or in the Discord so we can review it and take action!
If it isn't Soldi, it isn't money
Cerca negli script per "algo"
Synthetic Price Action GeneratorNOTICE:
First thing you need to know, it "DOES NOT" reflect the price of the ticker you will load it on. THIS IS NOT AN INDICATOR FOR TRADING! It's a developer tool solely generating random values that look exactly like the fractals we observe every single day. This script's generated candles are as fake as the never ending garbage news cycles we are often force fed and expected to believe by using carefully scripted narratives peddled as hypnotic truth to psychologically and emotionally influence you to the point of control by coercion and subjugation. I wanted to make the script's synthetic nature very clear using that analogy, it's dynamically artificial. Do not accidentally become disillusioned by this scripts values, make trading decisions from it, and lastly don't become victim to predatory media magic ministry parrots with pretty, handsome smiles, compelling you to board their ferris wheel of fear. Now, on to the good stuff...
BACKSTORY:
Occasionally I find myself in situations where I have to build analyzers in Pine to actually build novel quantitative analytic indicators and tools worthy of future use. These analyzers certainly don't exist on this platform, but usually are required to engineer and tweak algorithms of the highest quality with the finest computational caliber. I have numerous other synthesizers to publish besides this one.
For many reasons, I needed a synthetic environment to utilize the analyzers I built in Pine, to even pursue building some exotic indicators and algorithms. Pine doesn't allow sourcing of tuples. Not to mention, I required numerous Pine advancements to make long held dreams into tangible realities. Many Pine upgrades have arrived and MANY, MANY more are in need of implementation for all. Now that I have this, intending to use it in the future often when in need, you can now use it too. I do anticipate some skilled Pine poets will employ this intended handy utility to design and/or improved indicators for trading.
ORIGIN:
This was inspired by the brilliance from the world renowned ALGOmist John F. Ehlers, but it's taken on a completely alien form from its original DNA. Browsing on the internet for something else, I came across an article with a small code snippet, and I remembered an old wish of mine. I have long known that by flipping back and forth on specific tickers and timeframes in my Watchlist is not the most efficient way to evaluate indicators in multiple theatres of price action. I realized, I always wanted to possess and use this sort of tool, so... I put it into Pine form, but now have decided to inject it with Pine Script steroids. The outcome is highly mutable candle formations in a reusable mutagenic package, observable above and masquerading as genuine looking price candles.
OVERVIEW:
I guess you could call it a price action synthesizer, but I entitled it "Synthetic Price Action Generator" for those who may be searching for such a thing. You may find this more useful on the All or 5Y charts initially to witness indication from beginning (barstate.isfirst === barindex==0) to end (last_bar_index), but you may also use keyboard shortcuts + + to view the earliest plottable bars on any timeframe. I often use that keyboard shortcut to qualify an indicator through the entirety of it's runtime.
A lot can go wrong unexpectedly with indicator initialization, and you will never know it if you don't inspect it. Many recursively endowed Infinite Impulse Response (IIR) Filters can initialize with unintended results that minutely ring in slightly erroneous fashion for the entire runtime, beginning to end, causing deviations from "what should of been..." values with false signals. Looking closely at spg(), you will recognize that 3 EMAs are employed to manage and maintain randomness of CLOSE, HIGH, and LOW. In fact, any indicator's barindex==0 initialization can be inspected with the keyboard shortcuts above. If you see anything obviously strange in an authors indicator, please contact the developer if possible and respectfully notify them.
PURPOSE:
The primary intended application of this script, is to offer developers from advanced to even novice skill levels assistance with building next generation indicators. Mostly, it's purpose is for testing and troubleshooting indicators AND evaluating how they perform in a "manageable" randomized environment. Some times indicators flake out on rare but problematic price fluctuations, and this may help you with finding your issues/errata sooner than later. While the candles upon initial loading look pristine, by tweaking it to the minval/maxval parameters limits OR beyond with a few code modifications, you can generate unusual volatility, for instance... huge wicks. Limits of minval= and maxval= of are by default set to a comfort zone of operation. Massive wicks or candle bodies will undoubtedly affect your indication and often render them useless on tickers that exhibit that behavior, like WGMCF intraday currently.
Copy/paste boundaries are provided for relevant insertion into another script. Paste placement should happen at the very top of a script. Note that by overwriting the close, open, high, etc... values, your compiler will give you generous warnings of "variable shadowing" in abundance, but this is an expected part of applying it to your novel script, no worries. plotcandle() can be copied over too and enabled/disabled in Settings->Style. Always remember to fully remove this scripts' code and those assignments properly before actual trading use of your script occurs, AND specifically when publishing. The entirety of this provided code should never, never exist in a published indicator.
OTHER INTENTIONS:
Even though these are 100% synthetic generated price points, you will notice ALL of the fractal pseudo-patterns that commonly exist in the markets, are naturally occurring with this generator too. You can also swiftly immerse yourself in pattern recognition exercises with increased efficiency in real time by clicking any SPAG Setting in focus and then using the up/down arrow keys. I hope I explained potential uses adequately...
On a personal note, the existence of fractal symmetry often makes me wonder, do we truly live in a totality chaotic universe or is it ordered mathematically for some outcomes to a certain extent. I think both. My observations, it's a pre-deterministic reality completely influenced by infinitesimal amounts of sentient free will with unimaginable existing and emerging quantities. Some how an unknown mysterious mechanism governing the totality of universal physics and mathematics counts this 100.0% flawlessly and perpetually. Anyways, you can't change the past that long existed before your birth or even yesterday, but you can choose to dream, create, and forge the future into your desires and hopes. As always, shite always happens when your not looking for it. What you choose to do after stepping in it unintentionally... is totally up to you. :) Maybe this tool and tips provided will aid you in not stepping in an algo cachucha up to your ankles somehow.
SCRIPTING LESSONS PORTRAYED IN THIS SCRIPT:
Pine etiquette and code cleanliness
Overwrite capabilities of built-in Pine variables for testing indicators
Various techniques to organize Settings panel while providing ease of adjustment utility
Use of tooltip= to provide users adequate valuable information. Most people want to trade with indicators, not blindly make adjustments to them without any knowledge of their intended operation/effects
When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members , I may implement more ideas when they present themselves as worthy additions. Have a profitable future everyone!
SB Master Chart v5 (Public)SB Master Chart v5 is the latest progression of the SB Master Chart series of charts.
The original SB Master Chart and its successors was designed to be a visual aid for the savvy investor. The original concept was designed to provide valuable information so decisions could be made at a glance with utmost confidence.
As the chart progressed through versions, it has slowly shifted the responsibility of decision making from the trader to the indicator. In this version of the script, we have updated the backend decision code. The script has 3 distinct personalities coded to compliment each other, as well as keep the others in check..
The first personality is the buy algorithm. The buy personality is based on two conditions. The first algorithm first determines a trend, then it waits for a confirmation. The personality is comprised of the following indicators.
EMA 7
EMA 14
MACD
Stochastic
RSI
By default, the first personality has its visual settings disabled. Its still working, its just not displayed on the chart. It can be enabled in the settings. The background colors designate trend and confirmation.
The second personality is stubborn and its committed to making a profit. Its a hard line in the sand that configurable by you the user. Its the take profit/trailing take profit setting. It will not let other personalities sell for less than these configured values. The visual component of personality two is represented by black dots. This serves to showcase its minimum profit target when opening a trade and a trailing stop loss when the price exceeds the minimum profit target.
The third personality is the guy that does the dirty work that nobody wants to admit they do. This personality is based on the original SB Master Chart algorithm. This personality takes over when the first personality is unable to turn a profit. This personality goes to work finding appropriate places to dollar cost average. There are two settings that affect this personality.
DCA %
Risk Multiplier (use extreme caution, this could cause a margin call if used inappropriately).
DCA percent setting restricts this algorithm from buying when the price has not fallen below this threshold.
Risk Multiplier instructs this algorithm how much positions/qty to buy when it buys. At 2x, the algorithm will buy enough shares to double its current position, at 3x the algorithm will buy enough shares to triple its current position.
The visual representations of the third personality are that of red, orange, yellow and green. Red means overbought. When an orange appears just prior to a red, that orange means overbought with volume. Green means oversold and an orange preceding a green is an oversold with volume. Both the red and green represent an possible trend reversal and that's the signal to buy when its green.
This personality is comprised of the following indicators:
RSI
Stochastic
MACD
Bollinger
Volume
The code also features 3 modes. Altering the mode setting changes the way the personalities work together (or do not work together).
Normal
Aggressive
Buy the Dip
Mode Normal works exactly like described above. Each personality has its own duty and they do not interfere with each others work.
Aggressive mode adjusts the dynamic and both the first personality and the third personality share an equal part in opening starter positions.
Buy the Dip mode prevents personality one from buying. Since personality one only buys uptrends, you will never see it buying a dip. This mode puts personality 3 in the spotlight. All position are typically opened during a fast/quick market decline. Personality three is still bound by the rules of personality 2, but its responsible for buying and dollar cost averaging.
I have also included labels for every buy/sell. A green label is the script making its first purchase, yellow is points where it decided to dollar cost average and the red is where it chose to deleverage by closing out all its positions. Nothing prevents the algorithm from buying immediately after a sell, this is by design because we do not want to miss out on an uptrend, but we also do not want to be caught with too much leverage.
Also included vital statistics on the top right of the chart.
Open Positions
Cost Basis
Current Gain/Loss
Minimum Profit Target
Trailing Stop Loss
Total Trades to Date
Maximum Positions/Qty to Date
In the bottom right of the chart, I have the user configurable settings. This is important so a user can at a glance see the settings of the chart without having to open the options menu.
Together, all three personalities form a COMPLETE trading system. The system tracks purchase quantity, cost basis from the first buy, adjust with each new buy and calculates the running profit from the begining of the date set in the settings if it were to have bought and sold at every signal. The public version of the script requires the trader to use the script in real time watching for buy and sell opportunities. The private subscription version of the script has custom alerts that can be configured to alert the user on when to buy and sell and also gives the user appropriate trailing stop loss settings to automate the trading process.
I want to name the personalities at some point in time for the novelty factor, but I wanted to release the script as soon as possible for others to enjoy, so they are nameless at this point. If you have suggestions, please contact me with your suggestion. I will credit the person with the best personality with a free subscription to the private version of this indicator.
As always, understand the risks of trading and trade responsibly. Nothing in this script can predict the future. Past results do not guarantee future performance
CroSel Indicator ToolboxA value-packed or all-in-one indicator. The main one is probably the algorithmic signal. I have noticed a few trading groups that rely solely on their algo trading signals. I have derived my own using MACD . I find that it works better or just as good as what I have seen. The others indicators are also very powerful and could even be used on a stand alone basis. There are different variations included. I wanted to provide 10x the value at whatever price I would put on this. However I think I've provided at least 20x the expected value. What I like about this is that with more signals, we can visually see confluence. In turn, that should give us traders confidence. The follow is a list of all the indicators I've included so far:
How to use (for all indicators): I suggest using these trade signals as confluence for the main algorithmic trade signals. Aside from MACD and RSI , there are a limited number of signals, but they will all show up within the most recent bars that have passed. Buy when green/lime and sell when red/fuchsia. I suggest experimenting with the the different modes to see what you believe works best for your trading style.
I prefer to use the last signal provided, but I also like to rely on looking at signals as a group, if they are all rising, I'm bullish ; if they are all falling, I'm bearish .
Note on Color Scheme: Red/Fuchsia color means to short/sell and green/lime color means to long/buy.
- Algorithmic signal - provides trade signals. How to use: When there is a green arrow up, it means you should go long. When there is a red arrow down, it means you should exit your long or short sell. If the arrow is lime colored, it means the stock is trending upwards and if the arrow is fuchsia, it means the stock is trending downwards.
- Band and hit count - provides bands to track volatility , as well as tracks the number of times the price hits the upper or lower bands. It also provides candle-to-candle slope as a %. How to use: You can use this to play the odds in your favor. For example: if a stock hits the upper bands 13 times during the morning, and then hits the lower bands 4 times afterwards and then moves upwards away from the lower bands towards the middle of the bands, from here we may be able to say that since 13 is greater than 4, that the stock price may rise again and start hitting the upper bands. Another way I like to use this indicator, is if a stock hits the upper bands more than 16 to 20 times, I like to exit the trade before it has a chance to drop. Lastly, there are zones where a stock price will go above or below 100% or 0% respectively. For example, a stock starts to hit the 110% area of the bands. This could be an excellent time to sell/short the stock.
- Volume surge - provides signals of when volume is increasing/decreasing depending on the color and direction. How to use: Gives you confidence that the price will rise higher/lower.
- EMA 5 & 10 - It is the exponential moving average of the past 5 or 10 bars. It will be either be red or green depending on the slope. How to use: I like to use it as if it were a trend line (which I like to call slanted support/resistance ). For example, if I buy a stock and it falls below EMA 10 I will generally sell the stock, and if it rises past EMA 5 I will generally buy the stock.
- Background color - Background color shows whether the stock is bullish or bearish . If it is green/red, it is slightly bullish / bearish respectively. If it is lime/fuchsia, it is very bullish / bearish respectively. How to use: Take long positions if the background color is greenish(i.e. green/lime) and take short position if the background color is reddish (i.e.red/fuchsia). Please bear in mind, background color will look slightly different if you are already coloring the extended hour session backgrounds.
- Channel Breakout Lines - These lines show the rigid channel that the stock will travel through. How to use: Watch a stock that is in a channel, if it is going up, watch the red dotted line which extends into the future,
if it the stock falls below that previous red dotted line you should sell/short the stock. If a stock is going down, watch the green dotted line, and if the stock goes past the previous green dotted line, you should buy.
- MACD - Moving Average Convergence and Divergence provides trade signals. How to use: 1 turns it off. 2 provides the classic, buy and sell signals based on when the MACD line crosses over or under the signal line. 3 provides faster trade
signals. 4 provides the algorithmic signals. All variations can change according to Algo sensitivity and Algo Signal speed since the algo uses MACD as it's base.
- RSI - Relative Strength Index provides trade signals. How to use: 1 turn it off, 2 turns on and provides the buy and sell signals for above 70 and below 30 RSI respectively. 3 and 4 provide slow and fast RSI trade signals respectively.
4 is my favorite and can be used to provide confluence.
- VWAP - Volume Weighted Average Price . a 2 value is the regular vwap line. A value of 3 or 4 will show that the VWAP line or fill from line until the close is colored
according to slope of EMA 5. How to use: Buy below the VWAP if it shows some support and sell/Short above if it shows some resistance. When the color is red it will show the
- ROC - Rate of Change trade signals. Take note of the circle shaped symbols. Normal mode shows you when the rate of change has crossed the zero line; this can be a very bullish or bearish signal. 3rd mode will gives signals based on whether ROC has stopped making new highs or new lows. 4th mode gives the fastest signals, making it the least risky.
- MFI - Money Flow Index trade Signals. Take note of the Long arrow symbols. Modes work as described.
- BOP - Balance of power trade signals. Take note of the square symbols. The simple mode provides only the biggest trade signals, and the complex mode provides both the biggest and smallest trade signals.
- OBV - A running total of positive and negative volume . Take note of the diamond shaped symbols. Slow signals are really slow. Fast signals are really fast. Use according to your trading speed preference.
- Stochastics - A momentum oscillator that provides trade signals. Take note of the plus shaped symbols and factor them into your judgement on when to trade.
- CCI - Commodity Channel Index trade signals based on momentum. Take note of the X symbols.
- CMF - Chaikin Money Flow trade signals. Take note of the flag symbols.
- ADX - ADX is a component of the Directional Movement System developed by Welles Wilder. When it says to buy, I suggest that you go long, and then before it says to sell you try to sell. And then you can also try to go long before it says to buy. As soon as I see buy, I want to be in the stock and conversely, when I see sell I want to be out of it.
- Price-Volume Divergence - This indicator is a candle by candle indicator which shows that if volume is rising and price is falling, then there is bullish divergence , Conversely if price is rising and volume is falling there is bearish divergence. This a leading indicator.
- Ichimoku Clouds - This indicator just shows the clouds in the Ichimoku cloud system. It can be used to buy under the clouds and sell over the clouds. It can also be used as a possible support/resistance level during an uptrend/downtrend respectively.
- PSAR - Parabolic Stop and Reverse . Denotes uptrends/downtrends, by multiple dotted lines. You can use it by buying/selling when it breaks out of a downtrend/uptrend respectively. Or you can use it to sell/buy during an uptrend/downtrend respectively. Warning: it is generally slow. I find that it's very reliable from a 5 minute perspective.
- Fibonacci levels - People generally use Fibonacci levels for retracement for when a stock pulls back. I personally like to use it as a predictive tool along with looking at the slope. If the slope is negative/positive and moving away/near from 50% line then, I would be bearish / bullish respectively.
- Moving Average ( EMA and SMA ) lines - Exponential moving average and Smooth moving average lines. EMA lines move faster and SMA lines move slower. I like to use these lines as trend lines which can tell me if there is an uptrend or downtrend. The strength of the trend is shown by the distance away from the slowest EMA / SMA lines. I like to sell when it's far above the trendline, and buy when it's closer to the trendline. Be weary of the price crossing trendlines .
- Information Panel - (Price location, Trend Strength, Volatilty Ratio, Current State, Reversal/Continuation Odds): Mode 2 will give you basic price location info. Mode 3 is my favorite and will give you the most info. and Mode 4 will give you the Schwager volatility ratio which can help with stock selection; the higher the ratio, the more movement can be expected.
- Support & Resistance levels - Horizontal dotted lines which show the stock price and where it experiences support/resistance . Can be used in many ways. I like to use it by counting the number of support/resistance lines provided and if support lines exceed resistance lines, I will be more likely to go long.
- Candle Colors - Overlay a color onto the Candles. Note: I encourage the use of Heiken Ashi which helps a lot with low volume candles. Candles can be colored according to their location within the bands, and also according to a trailing stop loss based on Average True Range . Buy low, sell high for the location mode and for the stop loss mode, selling/buying is encouraged when the bars go completely red/green respectively.
- Linear Regression - Draws a (black) line of best fit, and shows 2 standard deviations away from the line of best fit above(red) and below(green). I suggest buying/selling below/above the line of best fit respectively. Strong buys or sells generally occur below or above the standard deviation lines respectively.
JD's Apollo ConfirmationsJD Apollo Confirmations Indicator is used as the confirmation indicators for a number of other algorithms.
This has been specifically designed for Indicies, namely the US30.
How to use;
When the bars align, it means the price is heading in the direction of alignment.
This indicator is intended to be used as a confirmation indicator for other algorithms for best effect.
This algorithm combines a number of indicators with specifically tested and chosen settings that have shown to work on a number of timeframes.
How to Access
Gain access to JD Apollo Confirmations for your TradingView account through our website, links below.
7 day paid trials, subscriptions and lifetime access are all available.
JD Progress ConfirmationsJD Progress Confirmations Indicator is used as the confirmation indicators for a number of other algorithms.
This can be applied to Forex, Stocks and Crypto.
How to use;
When the bars align, it means the price is heading in the direction of alignment.
This indicator is intended to be used as a confirmation indicator for other algorithms for best effect.
This algorithm combines a number of indicators with specifically tested and chosen settings that have shown to work on a number of timeframes.
How to Access
Gain access to JD Progress Confirmations for your TradingView account through our website, links below.
7 day paid trials, subscriptions and lifetime access are all available.
All tiers give you full instructions on how to trade this strategy.
JD ConfirmationsJD Confirmations Indicator is used as the confirmation indicators for a number of other algorithms.
This can be applied to Forex, Stocks and Crypto.
How to use;
When the bars align, it means the price is heading in the direction of alignment.
This indicator is intended to be used as a confirmation indicator for other algorithms for best effect.
This algorithm combines a number of indicators with specifically tested and chosen settings that have shown to work on a number of timeframes.
How to Access
Gain access to JD Core for your TradingView account through our website, links below.
Both 7 day paid trials and lifetime access are available.
Both tiers give you full instructions on how to trade this strategy.
the "fasle" hull moving averageThere is a little different between my "fasle hull moving average" the "correct one".
the correct algorithm:
hma = wma((2*wma(close,n/2) - wma(close,n),sqrt(n))
the "fasle" algorithm:
=wma((2*wma(close,n/4) - wma(close,n),sqrt(n))
Amazing! Why the "fasle" describe the trend so accurate!?
FIAfirecrest Trading System(INVITE ONLY indicator. TRIAL ONLY indicator Delay by 15 candles available here .)
To access real time indicators click here for subscription.
Please don't post comment to ask for invitation. This indicator based on our own smart signal algorithm:
FIAfirecrest IS BASED ON OUR OWN ALGORITHM:
FIAfirecrest is actually a trading system based on ‘trend following’ strategy. The system consists of several indicators which can give users trading signals as well as shows the validity of the trading signals.
Since FIAfirecrest are very concerned about ‘trend following’, therefore we urge our trader to also focus on ‘trend following’ only. Besides thats, FIAfirecrest also features several important qualities:
• The usage of colours improve trading clarity
• Easily to determine the market structure
• Enable to translate trading signal in many angle
• Includes take profit and stop loss level
• Early alert on any trend changes possibilities
FIAfirecrest trading system originally based on 3 smart signal indicators: FIAbreakout, FIAmist and FIApierce. FIAbreakout initial calculation based on higher lower high/low price, FIAmist originally based on momentum thus forming the trend, while FIApierce use as filter based on non-lag adaptive moving averages.
How to use:
FIAbreakout | area Grey, Yellow & Blue
FIAmist | area Green & Red
FIApierce | cross Green & Red
FIAosc | triangle Green & Red
FIAbreakout and FIAmist condition:
• LONG when price cross above Grey area and forming Yellow above Grey. Entry within FIAmist Green. Set your stop loss at lowest Grey.
• SHORT when price cross below Grey area and forming Blue below Grey. Entry within FIAmist Red. Set your stop loss at highest Grey.
FIApierce and FIAosc condition:
• FIApierce cross Green or sharp turn formation from Grey area. Is early signal price reverse from long to short. Entry short within FIAmist Red.
• FIApierce cross Red or sharp turn formation from Grey area. Is early signal price reverse from short to long. Entry short within FIAmist Green.
• Use FIAosc to filter whether both setup are valid or not.
That’s all for our FIAfirecrest Trading System.
FIAfirecrest Trading System Trial(TRIAL ONLY indicator Delay by 15 candles.)
To access real time indicators click here for subscription.
Please don't post comment to ask for remove delay. This indicator based on our own smart signal algorithm:
FIAfirecrest IS BASED ON OUR OWN ALGORITHM:
FIAfirecrest is actually a trading system based on ‘trend following’ strategy. The system consists of several indicators which can give users trading signals as well as shows the validity of the trading signals.
Since FIAfirecrest are very concerned about ‘trend following’, therefore we urge our trader to also focus on ‘trend following’ only. Besides thats, FIAfirecrest also features several important qualities:
• The usage of colours improve trading clarity
• Easily to determine the market structure
• Enable to translate trading signal in many angle
• Includes take profit and stop loss level
• Early alert on any trend changes possibilities
FIAfirecrest trading system originally based on 3 smart signal indicators: FIAbreakout, FIAmist and FIApierce. FIAbreakout initial calculation based on higher lower high/low price, FIAmist originally based on momentum thus forming the trend, while FIApierce use as filter based on non-lag adaptive moving averages.
How to use:
FIAbreakout | area Grey, Yellow & Blue
FIAmist | area Green & Red
FIApierce | cross Green & Red
FIAosc | triangle Green & Red
FIAbreakout and FIAmist condition:
• LONG when price cross above Grey area and forming Yellow above Grey. Entry within FIAmist Green. Set your stop loss at lowest Grey.
• SHORT when price cross below Grey area and forming Blue below Grey. Entry within FIAmist Red. Set your stop loss at highest Grey.
FIApierce and FIAosc condition:
• FIApierce cross Green or sharp turn formation from Grey area. Is early signal price reverse from long to short. Entry short within FIAmist Red.
• FIApierce cross Red or sharp turn formation from Grey area. Is early signal price reverse from short to long. Entry short within FIAmist Green.
• Use FIAosc to filter whether both setup are valid or not.
That’s all for our FIAfirecrest Trading System.
PRICE SATURATION INDEX / FİYAT YOĞUNLUK ENDEKSİEN: PRICE SATURATION INDEX is a momentum algorithm that measures price intensity. It helps us to determine the times when the price reaches intensity and calculates the latency in those moving averages. Moving averages have lag. The lag is necessary because the smoothing is done using past data. It shows you how to filtered a selected amount of lag from an exponential moving average (ema) and price movements. Removing all the lag is not necessarily a good thing, because with no lag, the indicator would just track out the price we were filtering, just as it is the moving average of 1 period; the amount of lag removed is a tradeoff with the amount of smoothing we are willing to forgo with golden ratio and multiline function. We show you the effects of lag removal in an indicator and then use the filter in an effective trading strategy with multiline function. The multiline function is inspired by Jhon Ehlers' zero lag formule, smooth moving average strategy and Schrödinger equation. The Schrödinger equation is a wave function based on quantum mechanics
TR: FİYAT YOĞUNLUK ENDEKSİ, fiyat yoğunluğunu ölçen bir momentum algoritmasıdır. Fiyatın yoğunluğa ulaştığı zamanları belirlememize ve hareketli ortalamalardaki gecikmeyi hesaplamamıza yardımcı olur. Hareketli ortalamalar daima gecikir. Gecikme gereklidir çünkü yumuşatma geçmiş veriler kullanılarak yapılır. Bu algoritma hem fiyat hareketlerindeki hemde üstel hareketli ortalamadaki gecikme miktarının nasıl filtreleneceğini gösterir. Tüm gecikmenin kaldırılması iyi bir şey değildir, çünkü gecikme olmadığında gösterge sadece 1 periyodun hareketli ortalaması gibi davranacağı için filtrelediğimiz fiyatı izleyecektir; filtrelenen gecikme miktarı, terk etmek istediğimiz yumuşatma miktarına alternatif bir multiline fonksiyon ve altın orana uyarlanan frekans değirinden oluşur. Bu göstergede gecikmenin ortadan kaldırılmasının etkilerini gösteriyoruz ve daha sonra filtreyi multiline fonksiyona sahip etkili bir trading stratejisi olarak kullanıyoruz. Multiline fonksiyon, Jhon Ehler'in zero lag formülü, smooth hareketli ortalama stratejisi ve Schrödinger denkleminden esinlenmiştir. Schrödinger denklemi ise kuantum mekaniğini temel alan bir dalga fonksiyonudur.
Altcoins Screener [SwissAlgo]Introduction: The Altcoins Screener at a Glance
The Altcoins Screener is a cryptocurrency analysis tool designed to provide an overview of potential trading opportunities across multiple crypto coins/tokens and categories. By combining technical analysis, price action assessment, and social metrics (via LunarCrush data), it presents market information and trading signals for a broad range of altcoins (approx. 300 USDT.P pairs of 9 crypto categories).
The screener is designed to consolidate market information onto a single chart , aiming to streamline the analysis of market conditions. It provides a consolidated market overview, which can simplify the assessment of market conditions, compared to monitoring individual charts with several layered indicators.
Key Features:
🔹 Multi-category analysis covering 300 crypto pairs of 9 categories on a single chart (Layer 1 & Top Coins, Layer2 & Scaling, Defi & Landing, Gaming & Metaverse, AI & Data, Exchanges & Trading, NFT & Social, Memes & Community, Other, User's Custom Portfolio).
🔹 Technical analysis with trade signals (Long/Short) based on an aggregated view of technical and social data points
🔹 Social sentiment integration through LunarCrush metrics (GalaxyScore, AltRank, Social Sentiment)
🔹 Real-time market scanning provides automated alerts when market conditions for specified coins/tokens potentially change.
🔹 Custom watchlist support for personalized monitoring (users can define a custom category containing a set of specific cryptocurrencies, i.e. own portfolio).
The screener presents data in a table format, using color-coded indicators to aid visual analysis. Detailed technical information is also provided. The assessments/trade signals provided by this indicator should be considered as one input among many when forming your trading strategy.
--------------------------------------
What It Does
The Altcoins Screener is a cryptocurrency analysis tool that offers:
Data Display and Analysis (Technical/Social):
🔹 Technical Metrics
* Technical Raw Data : Displays raw values for a range of technical indicators, including RSI, Stochastic RSI, DMI/ADX, RVI, ATR, OBV, and Hull Moving Averages (including their recent trends and potential significance).
Detailed view of key technical indicators, for further analysis and evaluation:
* Technical Analysis (Summary) : Provides a summarized interpretation of technical conditions based on aggregated parameters:
* Price Action
* Trend
* Momentum
* Volatility
* Volume
Summarized view of confluences for potential long/short bias:
🔹 Social Metrics (LunarCrush) : Presents data from LunarCrush®, including Galaxy Score®, AltRank®, and Social Sentiment® (including their recent trends and potential significance).
Lunarcrush data for the top 10 coins for each crypto category:
🔹 PVSRA (Price Volume & Market Makers Activity) Candles : Shows special candles highlighting potential market maker activity and volume anomalies, helping identify possible manipulation zones (including imbalance zones, i.e. price areas that market makers may revisit)
--------------------------------------
Key Features:
Automated trade signals (Long/Short) are generated based on algorithmic calculations and signal confidence levels across technical and social data points. These signals are intended to be used as one component of a broader trading strategy.
Custom sensitivity settings allow users to adjust the analysis timeframe (options: 1D, 2D, or 1W). Higher timeframes may provide a broader perspective, while the 2D setting is the default configuration.
Multi-category analysis covering a selection of approximately 300 crypto pairs across 9 predefined crypto categories.
Custom symbol selection: Users can define a custom list of up to 10 symbols for focused monitoring.
Automated Alerts to track potential trend changes across crypto categories (Long to Short to Neutral, or vice versa)
Visual Interface:
Organized table display with color-coded indicators to aid interpretation.
Clear and efficient format for scanning market information.
--------------------------------------
Target Audience
🔹 The screener is designed for cryptocurrency traders who:
Need to efficiently monitor multiple USDT perpetual futures markets
Use technical analysis in their trading decisions
Want to track sector-wide movements across crypto categories
🔹 Suitable for different trading styles:
Scalpers requiring quick market assessment
Swing traders analyzing multi-day trends
Position traders monitoring longer-term setups
The color-coded interface makes it accessible for intermediate traders while providing detailed metrics for advanced users. A basic understanding of technical analysis and crypto trading is recommended.
--------------------------------------
How It Works
The Altcoins Screener evaluates cryptocurrencies through a multi-layered analysis:
🔹 Core Analysis Components
Each parameter combines multiple indicators for comprehensive evaluation:
Price Action
EMA crossovers and momentum
Support/resistance zones
Candlestick patterns
Trend
Hull Moving Average system
DMI/ADX trend strength
Multi-timeframe confirmation
Momentum
RSI/Stochastic RSI readings
MACD convergence/divergence
Oscillator confirmations
Volatility
RVI/ATR measurements
Bollinger Bands behavior
Historical volatility trends
Volume
OBV trend analysis
Volume/price correlations
Volume profile assessment
🔹 Signal Generation Process
1. Real-time data collection across timeframes
2. Weighted indicator calculations
3. Parameter aggregation and analysis
4. Signal strength determination
5. Color-coding and alert generation
--------------------------------------
How to Use
🔹 Initial Setup:
Add the indicator to a chart (use the 1D timeframe)
Select your preferred crypto category or create a custom list
Choose between Technical Analysis or Technical Metrics view
Set data sensitivity based on your trading style
🔹 Using the Technical Analysis View:
Monitor color-coded dots for quick market assessment
Green: bullish conditions
Red: bearish conditions
Gray: neutral conditions
Check the "Trade Signal" column for potential Long/Short entries signaled by confluences among technical and/or social data points
🔹 Using the Technical Metrics View:
Review detailed numerical values
Monitor slopes (↑↓ arrows) for the most recent trend direction of each data point
Watch for pivotal points (highlighted cells): these are data points that suggest potential trend reversals
Focus on the confluence of multiple indicators
The technical metrics view corroborates the conclusions shown in the Technical Analysis View, providing more details about some critical data points.
🔹 Alert Configuration:
Enable Technical Alerts for signal notifications (which coin/token seems most suited for Long or Short trades, and which coin/token is in a neutral/uncertain state for trading = "No Trade")
Configure alert conditions based on trading style
Set timeframe-appropriate sensitivity
Monitor alert messages for trade signals
Instructions on how to set alerts are provided in the script (enable "Signals Setup Instructions" in User Interface to get a step-by-step guide about setting up alerts)
Best Practices:
Confirm signals across multiple timeframes
Use appropriate sensitivity for your trading style
Monitor multiple categories for sector rotation
Combine signals with your trading strategy
Verify signals with price action confirmation and deep dive into the charts of your potential targets
--------------------------------------
About the Settings
🔹 Crypto Category Selection
Layer 1 & Major: Top market cap coins (BTC, ETH, XRP,...), established protocols
Layer 2 & Scaling: ETH L2s, scaling solutions
DeFi & Lending: Decentralized finance protocols
Gaming & Metaverse: Gaming and virtual world tokens
AI & Data: Artificial intelligence and data projects
Exchange & Trading: Exchange tokens, trading protocols
NFT & Social: NFT platforms, social tokens
Memes & Community: Community-driven tokens
Others & Misc: Other categories
Custom Category: User-defined list (up to 10 symbols)
Data Type Options
Technical Analysis: Color-coded summary view
Technical Metrics: Detailed numerical values of some key technical data points
Sensitivity Settings
Higher: Shorter timeframe, more frequent signals
Default: Balanced timeframe, standard signals
Lower: Longer timeframe, stronger signals
Alert Settings
Technical Alerts: Trade signal notifications
Data Timeframe: Minimum 1D required
Theme: Dark/Light mode options
Note: All analysis is performed on USDT Perpetual Futures pairs from Binance
--------------------------------------
FAQ
Q: Does the screener work on other exchanges besides Binance?
A: No, it's designed specifically for Binance USDT Perpetual Futures pairs. Binance offers the highest liquidity and trading volume in the crypto derivatives market, making it ideal for technical analysis. The extensive range of trading pairs and reliable data streams help ensure more accurate signals and analysis. Using a single high-liquidity exchange also helps avoid inconsistencies that could arise from aggregating data across multiple platforms with varying liquidity levels.
Q: What's the minimum timeframe required?
A: The screener requires a minimum 1D (daily) timeframe. This requirement ensures that the technical analysis has sufficient data points for reliable signal generation. Lower timeframes can produce more noise and false signals, while daily timeframes help filter out market noise and identify stronger trends.
Q: Why are some social metrics showing "NaN"?
A: "NaN" (Not a Number) appears when cryptocurrencies don't have associated LunarCrush data. This typically occurs with newer tokens or those with lower market caps. The technical analysis remains fully functional regardless of social metric availability, as these are complementary data points.
Q: How often are signals updated?
A: Signals update with each new candle on the selected timeframe (1D, 2D, or 1W). For example, on the default 2D setting, signals are recalculated every two days as new candles form. This helps reduce noise while maintaining timely analysis of market conditions.
Q: Can I add spot trading pairs?
A: No, the screener is optimized for Binance USDT perpetual futures pairs for data consistency and analysis purposes. While spot and perpetual prices typically align closely due to arbitrage, using a single data source (Binance) and contract type (USDT perpetual) ensures uniform data quality and analysis across all pairs. This standardization helps maintain reliable technical analysis and signal generation.
Q: How many coins can I add to my custom list?
A: Users can add up to 10 custom symbols to their watchlist. This limit is designed to maintain optimal performance while allowing focused monitoring of specific assets. The custom list complements the predefined categories that cover over 300 pairs.
Q: What determines signal confidence levels?
A: Signal confidence is calculated through a weighted algorithm that considers multiple factors: trend strength (Hull MA, DMI/ADX), momentum indicators (RSI, SRSI), volatility measurements (RVI, ATR, BB), volume analysis (OBV, volume trends), and price action patterns. Higher confidence levels indicate stronger alignment across these factors.
Q: Are signals guaranteed to work?
A: No. Signals are analytical tools based on historical and current market data, not guaranteed predictions. They should be used as one component of a comprehensive trading strategy that includes proper risk management, position sizing, and additional confirmation factors. Past performance does not guarantee future results.
Q: Why does the screener need higher timeframes?
A: Higher timeframes (1D minimum) provide several benefits: reduced market noise, more reliable technical signals, better trend identification, and lower likelihood of false signals. They also align better with institutional trading patterns and allow for a more thorough analysis of market conditions across multiple indicators.
--------------------------------------
Conclusion
The Altcoins Screener is a comprehensive crypto market analysis tool that:
Scans 300+ cryptocurrencies across 9 sectors on a single chart
Combines technical indicators and social metrics for signal generation
Identifies potential trading opportunities through color-coded visuals
Saves time by eliminating the need to monitor multiple charts
The tool is suited for:
Market overview and sector rotation analysis
Quick assessment of market conditions
Technical and social sentiment tracking
Systematic trading approach with alerts
Use this screener with caution and as a complement to any other tool you use to define your trading strategy.
--------------------------------------
Disclaimer
This indicator is for informational and educational purposes only:
Not financial advice: This indicator should not be considered investment advice.
No guarantee of accuracy: The indicator's calculations and signals are based on specific algorithms and data sources, but accuracy cannot be guaranteed. Market conditions can change rapidly.
Past performance is not predictive: Past performance of the indicator's signals or any specific asset is not indicative of future results.
Substantial risk of loss: Trading cryptocurrencies involves a substantial risk of loss. You can lose money trading these assets.
User responsibility: Users are solely responsible for their own trading decisions and should exercise caution.
Independent research required: Always conduct thorough independent research (DYOR) before making any trading decisions.
Technical analysis is one of many tools: Technical analysis, including the output of this indicator, is just one tool among many and should not be relied upon exclusively.
Risk management is essential: Use proper risk management techniques, including position sizing and stop-loss orders.
Comprehensive strategy: Use this tool as part of a comprehensive trading strategy, not as a standalone solution.
No liability for trading results: The Author assumes no responsibility or liability for any trading results or losses incurred as a result of using this indicator.
No TradingView affiliation: SwissAlgo is an independent entity and is not affiliated with or endorsed by TradingView.
LunarCrush data: The indicator utilizes publicly available data from LunarCrush. LunarCrush data and trademarks are the property of LunarCrush.
Consult a financial advisor: Consult with a qualified financial advisor before making any investment decisions.
By using this indicator, you acknowledge and agree to these terms. If you do not agree with these terms, please refrain from using this indicator.
Finite Difference - Backward (mcbw_)In calculus there exists a 'derivative', which simply just measures the difference between two points on a curve. For well behaved mathematical functions there are infinitely many points and so there exists a derivative at every point. Where there are infinitely many points in a curve that curve is called 'continuous'. Continuous curves are very nice to deal with since each point on it exists almost exactly where its neighbors are. However, if the curve does not have infinitely many points on it, but instead has a finite number of points on it, that curve is called 'discrete' instead of continuous. Taking the derivative of discrete curves is much trickier business since there are none of the mathematical conveniences that a continuous offers. In the real world everything we measure is a discrete curve, including Price (since we measure it a finite number of times, aka each candlestick)!
The branch of Discrete Mathematics has found an approach to measure the derivative along a discrete curve, that approach is aptly called " Finite Difference ". To get a more accurate approximation of a discrete derivative, the finite difference approach uses weighted combinations of neighboring points. The most common type of finite difference is a 'central' difference, this uses a combination of points before and after the point of interest to approximate the discrete derivative. This is great for historical analysis but is not of much use for trading algorithms since it technically means using future prices to calculate the derivative of the current point. Instead we can use a less common variant called a ' Backwards Difference ' that only uses a combination of points before the current one to help approximate the current derivative.
In this script you can choose the " Order " of your derivative and the " Accuracy " of its approximation. This script is for educational purposes for folks building trading algorithms. Many trading algorithms often have an element of seeing how much Price has changed from the previous candle to the current candle. This approach is the lowest accuracy derivative possible, and using the backwards finite differences, made available for the first time on TradingView (!!), algorithms that use derivatives can now have higher orders of accuracy!
Happy Trading/Developing!
Trading IQ - Razor IQIntroducing TradingIQ's first dip buying/shorting all-in-one trading system: Razor IQ.
Razor IQ is an exclusive trading algorithm developed by TradingIQ, designed to trade upside/downside price dips of varying significance in trending markets. By integrating artificial intelligence and IQ Technology, Razor IQ analyzes historical and real-time price data to construct a dynamic trading system adaptable to various asset and timeframe combinations.
Philosophy of Razor IQ
Razor IQ operates on a single premise: Trends must retrace, and these retracements offer traders an opportunity to join in the overarching trend. At some point traders will enter against a trend in aggregate and traders in profitable positions entered during the trend will scale out. When occurring simultaneously, a trend will retrace against itself, offering an opportunity for traders not yet in the trend to join in the move and continue the trend.
Razor IQ is designed to work straight out of the box. In fact, its simplicity requires just a few user settings to manage output, making it incredibly straightforward to manage.
Long Limit Order Stop Loss and Minimum ATR TP/SL are the only settings that manage the performance of Razor IQ!
Traders don’t have to spend hours adjusting settings and trying to find what works best - Razor IQ handles this on its own.
Key Features of Razor IQ
Self-Learning Retracement Detection
Employs AI and IQ Technology to identify notable price dips in real-time.
AI-Generated Trading Signals
Provides retracement trading signals derived from self-learning algorithms.
Comprehensive Trading System
Offers clear entry and exit labels.
Performance Tracking
Records and presents trading performance data, easily accessible for user analysis.
Self-Learning Trading Exits
Razor IQ learns where to exit positions.
Long and Short Trading Capabilities
Supports both long and short positions to trade various market conditions.
How It Works
Razor IQ operates on a straightforward heuristic: go long during the retracement of significant upside price moves and go short during the retracement of significant downside price moves.
IQ Technology, TradingIQ's proprietary AI algorithm, defines what constitutes a “trend” and a “retracement” and what’s considered a tradable dip buying/shorting opportunity. For Razor IQ, this algorithm evaluates all historical trends and retracements, how much trends generally retrace and how long trends generally persist. For instance, the "dip" following an uptrend is measured and learned from, including the significance of the identified trend level (how long it has been active, how much price has increased, etc). By analyzing these patterns, Razor IQ adapts to identify and trade similar future retracements and trends.
In simple terms, Razor IQ clusters previous trend and retracement data in an attempt to trade similar price sequences when they repeat in the future. Using this knowledge, it determines the optimal, current price level where joining in the current trend (during a retracement) has a calculated chance of not stopping out before trend continuation.
For long positions, Razor IQ enters using a market order at the AI-identified long entry price point. If price closes beneath this level a market order will be placed and a long position entered. Of course, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. After the position is entered TP1 is placed (identifiable on the price chart). TP1 has a twofold purpose:
Acts as a legitimate profit target to exit 50% of the position.
Once TP1 is achieved, a stop-loss order is immediately placed at breakeven, and a trailing stop loss controls the remainder of the trade. With this, so long as TP1 is achieved, the position will not endure a loss. So long as price continues to uptrend, Razor IQ will remain in the position.
For short positions, Razor IQ provides an AI-identified short entry level. If price closes above this level a market order will be placed and a short position entered. Again, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. Upon entry Razor IQ implements a TP order and SL order (identifiable on the price chart).
Downtrends, in most markets, usually operate differently than uptrends. With uptrends, price usually increases at a modest pace with consistency over an extended period of time. Downtrends behave in an opposite manner - price decreases rapidly for a much shorter duration.
With this observation, the long dip entry heuristic differs slightly from the short dip entry heuristic.
The long dip entry heuristic specializes in identifying larger, long-term uptrends and entering on retracement of the uptrends. With a dedicated trailing stop loss, so long as the uptrend persists, Razor IQ will remain in the position.
The short dip entry heuristic specializes in identifying sharp, significant downside price moves, and entering short on upside volatility during these moves. A fixed stop loss and profit target are implemented for short positions - no trailing stop is used.
As a trading system, Razor IQ exits all TP orders using a limit order, with all stop losses exited as stop market orders.
What Classifies As a Tradable Dip?
For Razor IQ, tradable price dips are not manually set but are instead learned by the system. What qualifies as an exploitable price dip in one market might not hold the same significance in another. Razor IQ continuously analyzes historical and current trends (if one exists), how far price has moved during the trend, the duration of the trend, the raw-dollar price move of price dips during trends, and more, to determine which future price retracements offer a smart chance to join in any current price trend.
The image above illustrates the Razor Line Long Entry point.
The green line represents the Long Retracement Entry Point.
The blue upper line represents the first profit target for the trade.
The blue lower line represents the trailing stop loss start point for the long position.
The position is entered once price closes below the green line.
The green Razor Lazor long entry point will only appear during uptrends.
The image above shows a long position being entered after the Long Razor Lazor was closed beneath.
Green arrows indicate that the strategy entered a long position at the highlighted price level.
Blue arrows indicate that the strategy exited a position, whether at TP1, the initial stop loss, or at the trailing stop.
Blue lines above the entry price indicate the TP1 level for the current long trade. Blue lines below the current price indicate the initial stop loss price.
If price reaches TP1, a stop loss will be immediately placed at breakeven, and the in-built trailing stop will determine the future exit price.
A blue line (similar to the blue line shown for TP1) will trail price and correspond to the trailing stop price of the trade.
If the trailing stop is above the breakeven stop loss, then the trailing stop will be hit before the breakeven stop loss, which means the remainder of the trade will be exited at a profit.
If the breakeven stop loss is above the trailing stop, then the breakeven stop loss will be hit first. In this case, the remainder of the position will be exited at breakeven.
The image above shows the trailing stop price, represented by a blue line, and the breakeven stop loss price, represented by a pink line, used for the long position!
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
The image above exemplifies Razor IQ's output when a downtrend is active.
When a downtrend is active, Razor IQ will switch to "short mode". In short mode, Razor IQ will display a neon red line. This neon red line indicates the Razor Lazor short entry point. When price closes above the red Razor Lazor line a short position is entered.
The image above shows Razor IQ during an active short position.
The image above shows Razor IQ after completing a short trade.
Red arrows indicate that the strategy entered a short position at the highlighted price level.
Blue arrows indicate that the strategy exited a position, whether at the profit target or the fixed stop loss.
Blue lines indicate the profit target level for the current trade when below price. and blue lines above the current price indicate the stop loss level for the short trade.
Short traders do not utilize a trailing stop - only a fixed profit target and fixed stop loss are used.
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
Minimum Profit Target And Stop Loss
The Minimum ATR Profit Target and Minimum ATR Stop Loss setting control the minimum allowed profit target and stop loss distance. On most timeframes users won’t have to alter these settings; however, on very-low timeframes such as the 1-minute chart, users can increase these values so gross profits exceed commission.
After changing either setting, Razor IQ will retrain on historical data - accounting for the newly defined minimum profit target or stop loss.
AI Direction
The AI Direction setting controls the trade direction Razor IQ is allowed to take.
“Trade Longs” allows for long trades.
“Trade Shorts” allows for short trades.
Verifying Razor IQ’s Effectiveness
Razor IQ automatically tracks its performance and displays the profit factor for the long strategy and the short strategy it uses. This information can be found in the table located in the top-right corner of your chart showing.
This table shows the long strategy profit factor and the short strategy profit factor.
The image above shows the long strategy profit factor and the short strategy profit factor for Razor IQ.
A profit factor greater than 1 indicates a strategy profitably traded historical price data.
A profit factor less than 1 indicates a strategy unprofitably traded historical price data.
A profit factor equal to 1 indicates a strategy did not lose or gain money when trading historical price data.
Using Razor IQ
While Razor IQ is a full-fledged trading system with entries and exits - manual traders can certainly make use of its on chart indications and visualizations.
The hallmark feature of Razor IQ is its ability to signal an acceptable dip entry opportunity - for both uptrends and downtrends. Long entries are often signaled near the bottom of a retracement for an uptrend; short entries are often signaled near the top of a retracement for a downtrend.
Razor IQ will always operate on exact price levels; however, users can certainly take advantage of Razor IQ's trend identification mechanism and retracement identification mechanism to use as confluence with their personally crafted trading strategy.
Of course, every trend will reverse at some point, and a good dip buying/shorting strategy will often trade the reversal in expectation of the prior trend continuing (retracement). It's important not to aggressively filter retracement entries in hopes of avoiding an entry when a trend reversal finally occurs, as this will ultimately filter out good dip buying/shorting opportunities. This is a reality of any dip trading strategy - not just Razor IQ.
Of course, you can set alerts for all Razor IQ entry and exit signals, effectively following along its systematic conquest of price movement.
AiTrend Pattern Matrix for kNN Forecasting (AiBitcoinTrend)The AiTrend Pattern Matrix for kNN Forecasting (AiBitcoinTrend) is a cutting-edge indicator that combines advanced mathematical modeling, AI-driven analytics, and segment-based pattern recognition to forecast price movements with precision. This tool is designed to provide traders with deep insights into market dynamics by leveraging multivariate pattern detection and sophisticated predictive algorithms.
👽 Core Features
Segment-Based Pattern Recognition
At its heart, the indicator divides price data into discrete segments, capturing key elements like candle bodies, high-low ranges, and wicks. These segments are normalized using ATR-based volatility adjustments to ensure robustness across varying market conditions.
AI-Powered k-Nearest Neighbors (kNN) Prediction
The predictive engine uses the kNN algorithm to identify the closest historical patterns in a multivariate dictionary. By calculating the distance between current and historical segments, the algorithm determines the most likely outcomes, weighting predictions based on either proximity (distance) or averages.
Dynamic Dictionary of Historical Patterns
The indicator maintains a rolling dictionary of historical patterns, storing multivariate data for:
Candle body ranges, High-low ranges, Wick highs and lows.
This dynamic approach ensures the model adapts continuously to evolving market conditions.
Volatility-Normalized Forecasting
Using ATR bands, the indicator normalizes patterns, reducing noise and enhancing the reliability of predictions in high-volatility environments.
AI-Driven Trend Detection
The indicator not only predicts price levels but also identifies market regimes by comparing current conditions to historically significant highs, lows, and midpoints. This allows for clear visualizations of trend shifts and momentum changes.
👽 Deep Dive into the Core Mathematics
👾 Segment-Based Multivariate Pattern Analysis
The indicator analyzes price data by dividing each bar into distinct segments, isolating key components such as:
Body Ranges: Differences between the open and close prices.
High-Low Ranges: Capturing the full volatility of a bar.
Wick Extremes: Quantifying deviations beyond the body, both above and below.
Each segment contributes uniquely to the predictive model, ensuring a rich, multidimensional understanding of price action. These segments are stored in a rolling dictionary of patterns, enabling the indicator to reference historical behavior dynamically.
👾 Volatility Normalization Using ATR
To ensure robustness across varying market conditions, the indicator normalizes patterns using Average True Range (ATR). This process scales each component to account for the prevailing market volatility, allowing the algorithm to compare patterns on a level playing field regardless of differing price scales or fluctuations.
👾 k-Nearest Neighbors (kNN) Algorithm
The AI core employs the kNN algorithm, a machine-learning technique that evaluates the similarity between the current pattern and a library of historical patterns.
Euclidean Distance Calculation:
The indicator computes the multivariate distance across four distinct dimensions: body range, high-low range, wick low, and wick high. This ensures a comprehensive and precise comparison between patterns.
Weighting Schemes: The contribution of each pattern to the forecast is either weighted by its proximity (distance) or averaged, based on user settings.
👾 Prediction Horizon and Refinement
The indicator forecasts future price movements (Y_hat) by predicting logarithmic changes in the price and projecting them forward using exponential scaling. This forecast is smoothed using a user-defined EMA filter to reduce noise and enhance actionable clarity.
👽 AI-Driven Pattern Recognition
Dynamic Dictionary of Patterns: The indicator maintains a rolling dictionary of N multivariate patterns, continuously updated to reflect the latest market data. This ensures it adapts seamlessly to changing market conditions.
Nearest Neighbor Matching: At each bar, the algorithm identifies the most similar historical pattern. The prediction is based on the aggregated outcomes of the closest neighbors, providing confidence levels and directional bias.
Multivariate Synthesis: By combining multiple dimensions of price action into a unified prediction, the indicator achieves a level of depth and accuracy unattainable by single-variable models.
Visual Outputs
Forecast Line (Y_hat_line):
A smoothed projection of the expected price trend, based on the weighted contribution of similar historical patterns.
Trend Regime Bands:
Dynamic high, low, and midlines highlight the current market regime, providing actionable insights into momentum and range.
Historical Pattern Matching:
The nearest historical pattern is displayed, allowing traders to visualize similarities
👽 Applications
Trend Identification:
Detect and follow emerging trends early using dynamic trend regime analysis.
Reversal Signals:
Anticipate market reversals with high-confidence predictions based on historically similar scenarios.
Range and Momentum Trading:
Leverage multivariate analysis to understand price ranges and momentum, making it suitable for both breakout and mean-reversion strategies.
Disclaimer: This information is for entertainment purposes only and does not constitute financial advice. Please consult with a qualified financial advisor before making any investment decisions.
Bayesian Price Projection Model [Pinescriptlabs]📊 Dynamic Price Projection Algorithm 📈
This algorithm combines **statistical calculations**, **technical analysis**, and **Bayesian theory** to forecast a future price while providing **uncertainty ranges** that represent upper and lower bounds. The calculations are designed to adjust projections by considering market **trends**, **volatility**, and the historical probabilities of reaching new highs or lows.
Here’s how it works:
🚀 Future Price Projection
A dynamic calculation estimates the future price based on three key elements:
1. **Trend**: Defines whether the market is predisposed to move up or down.
2. **Volatility**: Quantifies the magnitude of the expected change based on historical fluctuations.
3. **Time Factor**: Uses the logarithm of the projected period (`proyeccion_dias`) to adjust how time impacts the estimate.
🧠 **Bayesian Probabilistic Adjustment**
- Conditional probabilities are calculated using **Bayes' formula**:
\
This models future events using conditional information:
- **Probability of reaching a new all-time high** if the price is trending upward.
- **Probability of reaching a new all-time low** if the price is trending downward.
- These probabilities refine the future price estimate by considering:
- **Higher volatility** increases the likelihood of hitting extreme levels (highs/lows).
- **Market trends** influence the expected price movement direction.
🌟 **Volatility Calculation**
- Volatility is measured using the **ATR (Average True Range)** indicator with a 14-period window. This reflects the average amplitude of price fluctuations.
- To express volatility as a percentage, the ATR is normalized by dividing it by the closing price and multiplying it by 200.
- Volatility is then categorized into descriptive levels (e.g., **Very Low**, **Low**, **Moderate**, etc.) for better interpretation.
---
🎯 **Deviation Limits (Upper and Lower)**
- The upper and lower limits form a **projected range** around the estimated future price, providing a framework for uncertainty.
- These limits are calculated by adjusting the ATR using:
- A user-defined **multiplier** (`factor_desviacion`).
- **Bayesian probabilities** calculated earlier.
- The **square root of the projected period** (`proyeccion_dias`), incorporating the principle that uncertainty grows over time.
🔍 **Interpreting the Model**
This can be seen as a **dynamic probabilistic model** that:
- Combines **technical analysis** (trends and ATR).
- Refines probabilities using **Bayesian theory**.
- Provides a **visual projection range** to help you understand potential future price movements and associated uncertainties.
⚡ Whether you're analyzing **volatile markets** or confirming **bullish/bearish scenarios**, this tool equips you with a robust, data-driven approach! 🚀
Español :
📊 Algoritmo de Proyección de Precio Dinámico 📈
Este algoritmo combina **cálculos estadísticos**, **análisis técnico** y **la teoría de Bayes** para proyectar un precio futuro, junto con rangos de **incertidumbre** que representan los límites superior e inferior. Los cálculos están diseñados para ajustar las proyecciones considerando la **tendencia del mercado**, **volatilidad** y las probabilidades históricas de alcanzar nuevos máximos o mínimos.
Aquí se explica su funcionamiento:
🚀 **Proyección de Precio Futuro**
Se realiza un cálculo dinámico del precio futuro estimado basado en tres elementos clave:
1. **Tendencia**: Define si el mercado tiene predisposición a subir o bajar.
2. **Volatilidad**: Determina la magnitud del cambio esperado en función de las fluctuaciones históricas.
3. **Factor de Tiempo**: Usa el logaritmo del período proyectado (`proyeccion_dias`) para ajustar cómo el tiempo afecta la estimación.
🧠 **Ajuste Probabilístico con la Teoría de Bayes**
- Se calculan probabilidades condicionales mediante la fórmula de **Bayes**:
\
Esto permite modelar eventos futuros considerando información condicional:
- **Probabilidad de alcanzar un nuevo máximo histórico** si el precio sube.
- **Probabilidad de alcanzar un nuevo mínimo histórico** si el precio baja.
- Estas probabilidades ajustan la estimación del precio futuro considerando:
- **Mayor volatilidad** aumenta la probabilidad de alcanzar niveles extremos (máximos/mínimos).
- **La tendencia del mercado** afecta la dirección esperada del movimiento del precio.
🌟 **Cálculo de Volatilidad**
- La volatilidad se mide usando el indicador **ATR (Average True Range)** con un período de 14 velas. Este indicador refleja la amplitud promedio de las fluctuaciones del precio.
- Para obtener un valor porcentual, el ATR se normaliza dividiéndolo por el precio de cierre y multiplicándolo por 200.
- Además, se clasifica esta volatilidad en categorías descriptivas (e.g., **Muy Baja**, **Baja**, **Moderada**, etc.) para facilitar su interpretación.
🎯 **Límites de Desviación (Superior e Inferior)**
- Los límites superior e inferior representan un **rango proyectado** en torno al precio futuro estimado, proporcionando un marco para la incertidumbre.
- Estos límites se calculan ajustando el ATR según:
- Un **multiplicador** definido por el usuario (`factor_desviacion`).
- Las **probabilidades condicionales** calculadas previamente.
- La **raíz cuadrada del período proyectado** (`proyeccion_dias`), lo que incorpora el principio de que la incertidumbre aumenta con el tiempo.
---
🔍 **Interpretación del Modelo**
Este modelo se puede interpretar como un **modelo probabilístico dinámico** que:
- Integra **análisis técnico** (tendencias y ATR).
- Ajusta probabilidades utilizando **la teoría de Bayes**.
- Proporciona un **rango de proyección visual** para ayudarte a entender los posibles movimientos futuros del precio y su incertidumbre.
⚡ Ya sea que estés analizando **mercados volátiles** o confirmando **escenarios alcistas/bajistas**, ¡esta herramienta te ofrece un enfoque robusto y basado en datos! 🚀
TradingIQ - Counter Strike IQIntroducing "Counter Strike IQ" by TradingIQ
Counter Strike IQ is an exclusive trading algorithm developed by TradingIQ, designed to trade upside/downside breakouts of varying significance. By integrating artificial intelligence and IQ Technology, Counter Strike IQ analyzes historical and real-time price data to construct a dynamic trading system adaptable to various asset and timeframe combinations.
Philosophy of Counter Strike IQ
Counter Strike IQ operates on a single premise: Support and resistance levels cannot hold forever. At some point either side must break for the underlying asset to exhibit trends; otherwise, prices would be confined to an infinitely narrowing range.
Counter Strike IQ is designed to work straight out of the box. In fact, its simplicity requires just four user settings to manage output, making it incredibly straightforward to manage.
Minimum ATR Profit, Minimum ATR Stop, EMA Filter and EMA Filter Length are the only settings that manage the performance of Counter Strike IQ!
Traders don’t have to spend hours adjusting settings and trying to find what works best - Counter Strike IQ handles this on its own.
Key Features of Counter Strike IQ
Self-Learning Breakout Detection
Employs AI and IQ Technology to identify notable breakouts in real-time.
AI-Generated Trading Signals
Provides breakout trading signals derived from self-learning algorithms.
Comprehensive Trading System
Offers clear entry and exit labels.
Performance Tracking
Records and presents trading performance data, easily accessible for user analysis.
Self-Learning Trading Exits
Counter Strike IQ learns where to exit positions.
Long and Short Trading Capabilities
Supports both long and short positions to trade various market conditions.
Strike Channel
The Strike Channel represents what Counter Strike IQ considers a tradable long opportunity or a tradable short opportunity. The Strike Channel is dynamic and adjusts from chart to chart.
IQ Graph Gradient
Introduces the IQ Graph Gradient, designed to classify extreme values in price on a grand scale.
How It Works
Counter Strike IQ operates on a straightforward heuristic: go long during significant upside price moves that break established resistance levels and go short during significant downside price moves that break established support levels.
IQ Technology, TradingIQ's proprietary AI algorithm, defines what constitutes a “significant price move” and what’s considered a tradable breakout. For Counter Strike IQ, this algorithm evaluates all historical support/resistance breaks and any subsequent breakouts. For instance, the price move following up to a breakout is measured and learned from, including the significance of the identified support/resistance level (how long it’s been active, how far price moved away from it, etc). By analyzing these patterns, Counter Strike IQ adapts to identify and trade similar future breakout sequences.
In simple terms, Counter Strike IQ learns from violations of historical support/resistance levels to identify potential entry points at currently established support/resistance levels. Using this knowledge, it determines the optimal, current support/resistance price level where a breakout has a higher chance of occurring.
For long positions, Counter Strike IQ places a stop-market order at the AI-identified resistance point. If price violates this level a market order will be placed and a long position entered. Of course, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. After the position is entered TP1 is placed (identifiable on the price chart). TP1 has a twofold purpose:
Acts as a legitimate profit target to exit 50% of the position.
Once TP1 is closed over, the initial stop loss is converted to a trailing stop, and the long position remains active so long as price continues to uptrend.
For short positions, Counter Strike IQ places a stop-market order at the AI-identified support point. If price violates this level a market order will be placed and a short position entered. Again, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. Upon entry TP1 is placed (identifiable on the price chart). TP1 has a twofold purpose:
Acts as a legitimate profit target to exit 50% of the position.
Once TP1 is closed over, the initial stop loss is converted to a trailing stop, and the short position remains active so long as price continues to downtrend.
As a trading system, Counter Strike IQ exits TP1 using a limit order, with all stop losses exited as stop market orders.
What Classifies As a Tradable Upside Breakout or Tradable Downside Breakout?
For Counter Strike IQ, tradable price breakouts are not manually set but are instead learned by the system. What qualifies as a significant upside or downside breakout in one market might not hold the same significance in another. Counter Strike IQ continuously analyzes historical and current support/resistance levels, how far price has extended from those levels, the raw-dollar price move leading up to a violation of those levels, their longevity, and more, to determine which future levels have a higher chance of breaking out when retested!
The image above illustrates the Strike Channel and explains the corresponding prices and levels
The green upper line represents the Long Breakout Point.
The pink lower line represents the Short Breakout Point.
Any price between the two deviation points is considered “Acceptable”.
The image above shows a long position being entered after the Upside Breakout Point was reached.
Green arrows indicate that the strategy entered a long position at the highlighted price level.
Blue arrows indicate that the strategy exited a position, whether at TP1, the initial stop loss, or at the trailing stop.
Blue lines indicate the TP1 level for the current trade. Red lines indicate the initial stop loss price.
If price closes above TP1, the initial stop loss will be replaced with a trailing stop. A blue line (similar to the blue line shown for TP1) will trail price and correspond to the trailing stop price of the trade.
The image above shows the trailing stop price, represented by a blue line, used for the long position!
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
The image above shows a short position being entered after the Downside Breakout Point was reached.
Red arrows indicate that the strategy entered a short position at the highlighted price level.
Blue arrows indicate that the strategy exited a position, whether at TP1, the initial stop loss, or at the trailing stop.
Blue lines indicate the TP1 level for the current trade. Red lines indicate the initial stop loss price.
If price closes below TP1, the initial stop loss will be replaced with a trailing stop. A blue line (similar to the blue line shown for TP1) will trail price and correspond to the trailing stop price of the trade.
The image above shows the trailing stop price, represented by a blue line, used for the short position!
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
IQ Gradient Graph
The IQ Gradient Graph provides a macro characterization of extreme prices.
The lower macro extremity of the IQ Gradient Graph is colored green, while the upper macro extremity is colored red.
Minimum Profit Target And Stop Loss
The Minimum ATR Profit Target and Minimum ATR Stop Loss setting control the minimum allowed profit target and stop loss distance. On most timeframes users won’t have to alter these settings; however, on very-low timeframes such as the 1-minute chart, users can increase these values so gross profits exceed commission.
After changing either setting, Counter Strike IQ will retrain on historical data - accounting for the newly defined minimum profit target or stop loss.
AI Direction
The AI Direction setting controls the trade direction Counter Strike IQ is allowed to take.
“Trade Longs” allows for long trades.
“Trade Shorts” allows for short trades.
EMA Filter
The EMA Filter setting controls whether the AI should implement an EMA trading filter. Simply, if the EMA Filter is active, long trades can only initiate if price is trading above the user-defined EMA. Conversely, short trades can only initiate if price is trading below the user-defined EMA.
The image above shows the EMA Filter in action!
Verifying Counter Strike IQ’s Effectiveness
Counter Strike IQ automatically tracks its performance and displays the profit factor for the long strategy and the short strategy it uses. This information can be found in the table located in the top-right corner of your chart showing.
This table shows the long strategy profit factor and the short strategy profit factor.
The image above shows the long strategy profit factor and the short strategy profit factor for Counter Strike IQ.
A profit factor greater than 1 indicates a strategy profitably traded historical price data.
A profit factor less than 1 indicates a strategy unprofitably traded historical price data.
A profit factor equal to 1 indicates a strategy did not lose or gain money when trading historical price data.
Using Counter Strike IQ
While Counter Strike IQ is a full-fledged trading system with entries and exits - manual traders can certainly make use of its on chart indications and visualizations.
The hallmark feature of Counter Strike IQ is its ability to signal a breakout near its origin point. Long entries are often signaled near the start of a large upside price move; short entries are often signaled near the start of a large downside price move.
For live analysis, the Strike Channel serves as a valuable tool for identifying breakout points.
The further price moves toward the Upside Breakout Point (green), the stronger the indication that price might breakout to the upside. Conversely, the deeper price reaches toward the Downside Breakout Point (red), the stronger the indication that price might breakout to the downside.
Of course, should buying or selling pressure stall, price may fail to breakout at the identified breakout level. This is a natural consequence of any breakout trading strategy!
With this information at hand, traders can quickly switch between charts and timeframes to identify optimized areas of interest.
Market Trades PinescriptlabsThis algorithm is designed to emulate the true order book of exchanges by showing the quantity of transactions of an asset in real-time, while identifying patterns of high activity and volatility in the market through the analysis of volume and price movements. 📈 Below, I explain how to understand and use the information provided by the chart, along with the trades table:
Identification of High Activity Zones 🚀
The algorithm calculates the average volume and the rate of price change to detect areas with spikes in activity. This is visualized on the chart with labels "Volatility Spike Buy" and "Volatility Spike Sell":
Volatility Spike Buy: Indicates an unusual increase in volatility in the buying market, suggesting a potential surge in buying interest. 🟢
Volatility Spike Sell: Signals an increase in volatility in the selling market, which may indicate selling pressure or a sudden massive sell-off. 🔴
Market Trades Table 📋
The table provides a detailed view of the latest trades:
Price: Displays the price at which each trade was executed. 💵
Quantity (Traded): Indicates the amount of the asset traded. 💰
Type of Trade (Buy/Sell): Differentiates between buy (Buy) and sell (Sell) operations based on volume and strength. 🔄
Date and Time: Refers to the start of the calculated trading candle. ⏰
Recency: Identifies the most recent trade to facilitate tracking of current activity. 🔍
Analysis of Trade Imbalance ⚖️
The imbalance between buys and sells is calculated based on the volume of both. This indicator helps to understand whether the market has a tendency toward buying or selling, showing if there is greater strength on one side of the market.
A positive imbalance suggests more buying pressure. 📊
A negative imbalance indicates greater selling pressure. 📉
Volume Presentation
Visualizes the volume of buying and selling in the market, allowing the identification of buying or selling strength through the size of the volume candle. 🔍
Español :
"Este algoritmo está diseñado para emular el verdadero libro de órdenes de los intercambios al mostrar la cantidad de transacciones de un activo en tiempo real, mientras identifica patrones de alta actividad y volatilidad en el mercado a través del análisis de volumen y movimientos de precios. 📈 A continuación, explico cómo entender y usar la información proporcionada por el gráfico, junto con la tabla de operaciones:"
Identificación de Zonas de Alta Actividad 🚀
El algoritmo calcula el volumen promedio y la velocidad de cambio de precio para detectar zonas con picos de actividad. Esto se visualiza en el gráfico con etiquetas de "Volatility Spike Buy" y "Volatility Spike Sell":
Volatility Spike Buy: Indica un incremento inusual de volatilidad en el mercado de compra, sugiriendo un posible interés de compra elevado. 🟢
Volatility Spike Sell: Señala un incremento de volatilidad en el mercado de venta, lo cual puede indicar presión de venta o una venta masiva repentina. 🔴
Tabla de Operaciones en el Mercado (Market Trades) 📋
La tabla proporciona una vista detallada de las últimas operaciones:
Precio: Muestra el precio al cual se realizó cada operación. 💵
Cantidad (Transaccionada): Indica la cantidad del activo transaccionada. 💰
Tipo de operación (Buy/Sell): Diferencia entre operaciones de compra (Buy) y de venta (Sell), dependiendo del volumen y fuerza. 🔄
Fecha y Hora: Refleja el inicio de la vela de negociación calculada. ⏰
Recency: Identifica la operación más reciente para facilitar el seguimiento de la actividad actual. 🔍
Análisis de Desequilibrio de Operaciones (Imbalance) ⚖️
El desequilibrio entre compras y ventas se calcula con base en el volumen de ambas. Este indicador ayuda a entender si el mercado tiene una tendencia hacia la compra o venta, mostrando si hay una mayor fuerza en uno de los lados del mercado.
Un desequilibrio positivo sugiere más presión de compra. 📊
Un desequilibrio negativo indica mayor presión de venta. 📉
Presentación en Volumen
Visualiza el volumen de compra y venta en el mercado, permitiendo identificar mediante el tamaño de la vela de volumen la fuerza, ya sea compradora o vendedora. 🔍
Seasonality normalizedThis custom indicator provides an in-depth analysis of historical price performance to identify potential seasonal patterns and correlations. By examining data from the past 10 years, the indicator filters out outlier performances and focuses on the most consistent seasonal trends.
Key Features:
Intelligent Clustering Algorithm: The indicator employs a custom clustering algorithm to group similar yearly performances together. This approach effectively filters out anomalous years, such as those affected by black swan events like the COVID-19 pandemic, providing a more accurate representation of typical seasonal behavior.
Seasonal Correlation Measurement: The indicator calculates the percentage of years exhibiting similar performance patterns for each week. This measurement helps traders assess the strength of seasonal correlations and make informed decisions based on the consistency of historical data.
High and Low Seasonality Bands: The indicator plots two distinct bands on the chart, representing the expected range of price movement based on historical highs and lows. These bands offer valuable insight into potential support and resistance levels during specific weeks.
Enhanced Visualization: Weeks with high seasonal correlations are prominently highlighted, making it easy for traders to identify periods with the strongest historical patterns. The seasonality bands extend to cover the last and future 3 months, divided into weekly segments, providing a comprehensive view of the current market context.
Dynamic Adaptation: The seasonality bands are dynamically tied to the current high and low prices, ensuring that the indicator remains relevant and responsive to the latest market conditions.
Under the Hood:
The indicator begins by calculating the performance of the asset for each week, going back 10 years.
The custom clustering algorithm groups similar performances together, effectively filtering out outlier years.
The percentage of years falling into the largest performance cluster is calculated, representing the seasonal correlation for each week.
The average performance of the largest cluster is used to plot the high and low seasonality bands, anchored to the current high and low prices.
The bands are color-coded based on the strength of the seasonal correlation, with darker colors indicating higher consistency.
This indicator is designed to help professional traders identify and capitalize on seasonal patterns in the market. By providing a robust and adaptable framework for analyzing historical performance, the Seasonality Indicator offers valuable insights for making informed trading decisions.
We believe this tool will be a valuable addition to your trading arsenal, complementing your existing strategies and enhancing your market analysis capabilities. As a professional trader, your feedback and ideas are invaluable to us. Please share your thoughts, experiences, and suggestions for improvement as you incorporate the Seasonality Indicator into your trading workflow. Together, we can refine this powerful tool to better serve the needs of the trading community.
OmniSoftwareIntroduction:
The OmniSoftware Indicator is an exclusive, invite-only tool meticulously designed for traders seeking to enhance their market insights and improve their trading strategies. This premium indicator combines multiple advanced techniques to offer users not only clear trend signals and market zones but also cutting-edge features like adaptive oscillators and customizable alerts. By integrating features typically found in various standalone indicators, OmniSoftware becomes a multi-purpose, all-in-one trading tool.
This invite-only script adheres strictly to TradingView's guidelines for invite-only indicators and is designed to provide superior functionality without revealing its underlying code or proprietary logic. If you’re looking for a powerful edge in volatile markets, OmniSoftware is the tool you need in your arsenal.
Key Features:
1. Dual Display Modes: SuperTrend Zones & Deviation Bands
OmniSoftware provides traders with the ability to switch between two key modes:
SuperTrend Zones: This mode dynamically adjusts to market conditions, highlighting areas where the trend is either strengthening or weakening. These zones are ideal for capturing trend continuations and potential reversals with a high degree of confidence. Unlike traditional trend indicators, OmniSoftware's SuperTrend Zones are enhanced with adaptive algorithms that respond to market volatility, ensuring that false signals are minimized.
Deviation Bands: In this mode, the indicator uses custom deviation bands based on statistical deviations from a moving average. These bands help identify extreme price levels, providing insight into potential mean-reversion opportunities. The Deviation Bands mode is particularly useful for identifying overbought and oversold conditions, capturing reversal points that standard deviation-based tools often miss.
2. Adaptive Z-Score Oscillator
At the heart of OmniSoftware is its unique Z-Score Oscillator, which is far more advanced than traditional Z-Score implementations. This oscillator:
Tracks volatility extremes by analyzing price movements relative to their historical averages.
Adapts dynamically to market conditions, automatically adjusting its sensitivity based on recent volatility. This ensures that the oscillator remains accurate even in rapidly changing markets.
Highlights overbought and oversold conditions, signaling potential reversal areas with unprecedented precision.
Unlike typical oscillators, which remain static and fail to adapt to changing market volatility, OmniSoftware's Z-Score Oscillator adjusts itself using advanced mathematical models to ensure relevance and accuracy in both high- and low-volatility environments. This provides users with a real-time gauge of potential turning points in the market, making it an invaluable tool for timing entries and exits.
3. Enhanced Trend Detection
The OmniSoftware Indicator uses a dual VWAP (Volume Weighted Average Price) calculation to gauge market trends. By analyzing volume data alongside price, it effectively filters out noise and delivers a reliable trend assessment. The result is a system that provides:
Clear visual representation of uptrends (blue candles) and downtrends (red candles).
Neutral zones (purple candles) when the market is consolidating or lacks clear direction.
This combination of price and volume ensures that the trends identified by OmniSoftware are robust and meaningful, giving traders the confidence to follow or fade the trend as appropriate.
4. Proprietary Signal Detection System
OmniSoftware’s advanced signal detection system is designed to generate high-confidence buy and sell signals:
Long signals are shown as diamonds below the price when market conditions suggest an optimal buying opportunity.
Short signals appear as diamonds above the price when a short trade may be more favorable.
These signals are backed by a unique blend of volume analysis, trend strength, and the indicator’s proprietary algorithms. The indicator differentiates between "full" and "partial" signals based on whether all conditions align for a high-probability trade. Additionally, the signals are further validated by volume trends, ensuring traders are only notified when significant market movements are expected.
5. Custom Alerts and Conditions
To help traders stay ahead of the market, OmniSoftware includes an extensive range of customizable alerts:
Price In Zone: Alerts are triggered when the price enters key SuperTrend or Deviation Band zones, providing traders with real-time information about critical market levels.
New Trigger Alerts: Automatically alert users when a new buy or sell signal is generated, allowing traders to act immediately on emerging opportunities.
Full Long/Short Signal Alerts: When all criteria are met for a high-probability long or short signal, the indicator triggers an alert, ensuring you’re never out of sync with the market’s most important moves.
These alerts are fully customizable, allowing traders to tailor them according to their specific strategies. Whether you're trading breakouts, reversals, or trend continuations, OmniSoftware’s alert system ensures you won’t miss an opportunity.
Customization & Flexibility
OmniSoftware is designed with the flexibility to suit a wide range of trading styles and preferences. Key customization features include:
Color Schemes: Traders can customize the color schemes for uptrend, downtrend, and neutral zones, allowing for a personalized trading experience.
Transparency Control: Adjust the transparency of plotted zones and bands to enhance chart readability while maintaining focus on essential areas.
Precision and Aesthetic Adjustments: Fine-tune the precision of price levels and zone representations to match your specific requirements.
Use Cases:
Trend Traders:
OmniSoftware is perfect for trend-following strategies, providing clear, reliable signals that help traders identify entry points within established trends. The combination of SuperTrend Zones and VWAP trend analysis ensures that traders can catch both early-stage and continuation trends.
Reversal Traders:
The Deviation Bands and Z-Score Oscillator are invaluable tools for reversal traders. By identifying overbought and oversold conditions with high accuracy, OmniSoftware enables traders to anticipate reversals at extreme price levels, offering prime opportunities for countertrend trades.
Breakout Traders:
With its ability to detect and highlight key price zones, OmniSoftware helps breakout traders identify areas where the price is likely to break out of a consolidation pattern or key level. The inclusion of volume-based confirmations ensures that breakouts are backed by significant market participation.
Compliance with TradingView’s Guidelines:
As per TradingView's rules and guidelines for invite-only scripts:
No Source Code Disclosure: OmniSoftware is an invite-only script, meaning the underlying code and logic are proprietary and are not shared with users.
Detailed Description: The description provided here gives a comprehensive overview of the indicator’s functionality and its unique features without revealing any proprietary formulas or exact coding details.
No Unauthorized Use: Access to this script is restricted to users with permission, maintaining compliance with TradingView's guidelines on intellectual property and the responsible sharing of scripts.
Proper Attribution: OmniSoftware is the intellectual property of OmegaTools, and all usage rights are governed by the terms provided upon invitation. Unauthorized sharing or distribution of this script is prohibited.
Conclusion:
The OmniSoftware Indicator offers an advanced suite of tools that not only track price and volume trends but also provide a comprehensive market view by analyzing volatility extremes, identifying key price zones, and delivering high-accuracy signals for both trend and reversal strategies. This is not your average trading indicator; OmniSoftware combines the best aspects of multiple indicators into a single, cohesive tool designed to give you a competitive edge in any market.
Traders who use OmniSoftware benefit from its robust, adaptive algorithms that adjust to market volatility, ensuring that signals remain relevant and reliable. Whether you are a novice or an experienced trader, the OmniSoftware Indicator is engineered to elevate your trading experience to the next level.
Disclaimer: This script is available on an invite-only basis and is for educational purposes only. Trading carries risk, and users should perform their own due diligence before making any trading decisions. OmegaTools does not guarantee profit and is not responsible for any trading losses that may occur from using this script.
Premium Signals with Dynamic TP & SL OptimizationThis algorithm is designed to generate buy and sell signals using two channels calculated from moving averages and price ranges 📊. The channels are configured with customizable periods and multipliers that adjust their width 🔄.
✨ Signals are generated when the price crosses and is confirmed on the second candle that exceeds the upper or lower limits of both channels 📉📈.
Once a buy or sell signal is confirmed, the indicator dynamically sets the levels of "Take Profit" (TP) and "Stop Loss" (SL), calculated based on the difference between the entry price and the maximum or minimum range reached in the last bars 📏. This allows the algorithm to adjust each chart signal with its own dynamic level, adapting to market conditions in real-time 🕰️.
🚀 Key Features:
1️⃣ Dynamic Channel Calculation 📊:
The channels adjust according to recent price action. Instead of relying solely on simple averages, the upper and lower limits of each channel are calculated using multipliers applied to the recent price range. This allows the channels to reflect changes in market volatility, expanding or contracting dynamically 🌐.
2️⃣ Dynamic TP and SL Optimization 🎯:
The TP and SL levels are automatically calculated after each signal, using adjustable percentages based on the amplitude of recent price ranges 📉.
3️⃣ Real-Time Tracking ⏱️:
The information table provides a quick view of the current operation status, facilitating decision-making 📋.
________________________________________
🧩 Confirmation Function:
Channel 2 (long-term) acts as a confirmation of Channel 1 (short-term). Signals are validated when the price crosses the limits of both channels simultaneously 🔄.
• Buy Signal 🟢: The price must close above the upper limits of both channels in at least two confirmed candles ✅.
• Sell Signal 🔴: The price must close below the lower limits of both channels in at least two confirmed candles ⛔.
________________________________________
🎯 1: Multi-Level Take Profit with Alerts 🔔:
This advanced Take Profit (TP) system calculates three distinct TP levels for each operation, dynamically set based on recent market movements and patterns 🌐.
➡️ Dynamic Calculation of TP Levels:
• The code generates three Take Profit levels: TP1, TP2, and TP3 🔢.
• These levels are calculated based on the most recent price range, multiplied by an adjustable factor that determines the distance at which each TP will be set 📐.
• The TP dynamically adapts based on market volatility 📊. If the market is more volatile, the TP levels will be wider; in contrast, in less volatile markets, the TP levels will be narrower 🔍.
➡️ TP Level Alerts 📲:
• The system generates automatic alerts when the price reaches each of the TP1, TP2, and TP3 levels 📢. This is useful for the trader to receive real-time notifications on how their trade is progressing 🕒.
• These alerts are fully customizable ✨. You can set specific alerts for each buy or sell signal, as well as individual alerts for each TP level.
________________________________________
🚫 2: Dynamic Stop Loss with Alerts 🔔:
The Stop Loss (SL) system is dynamically designed to adapt to market conditions, providing a smarter and more reactive risk management 🛡️.
➡️ Volatility-Based Stop Loss 📉:
• The SL level is dynamically calculated based on market volatility, adjusting as a percentage of the third Take Profit (TP3) level.
• By default, SL is set at 50% of the value of TP3. This parameter can be modified by the user to make it more conservative or aggressive ⚙️.
➡️ Market Adaptability 🌐:
• Since the SL is based on recent volatility, it automatically adjusts to be closer in low volatility markets or farther away in high volatility markets 🌪️. This helps reduce the likelihood of the SL being hit by minor fluctuations 🔄.
➡️ Stop Loss and Take Profit Alerts 🔔:
• In addition to the Take Profit alerts, the system also generates an alert when the price reaches the Stop Loss level ❌.
________________________________________
⚙️ Adjustable Parameters:
• Channel Periods 1 and 2: Adjust the length of the channels for different timeframes 📅.
• Channel Multipliers 1 and 2: Control the sensitivity of the channels to price movements 🔍.
• Price Source: Allows selection between close, open, high, low, etc. 📈.
• Stop Loss Ratio: Adjust the SL level as a percentage of Take Profit ⚖️.
________________________________________
💬 Support: For questions or support, leave a comment on this post. I will try to respond as soon as possible 📩.
⚠️ Risk Management Limitations: Although the script provides TP and SL levels, it does not include more sophisticated risk management features, such as adjusting position size according to market volatility 📉.
🕒 Recommended timeframes: 1D, 4H, 2H, 1H, and 30M ⏰.
Español:
Este algoritmo está diseñado para generar señales de compra y venta utilizando dos canales calculados a partir de promedios móviles y rangos de precios 📊. Los canales están configurados con períodos personalizables y multiplicadores que ajustan su amplitud 🔄.
✨ Las señales se generan cuando el precio cruza y se confirma en la segunda vela que supera los límites superiores o inferiores de ambos canales 📉📈.
Una vez que se confirma una señal de compra o venta, el indicador establece dinámicamente los niveles de "Take Profit" (TP) y "Stop Loss" (SL), calculados en base a la diferencia entre el precio de entrada y el rango máximo o mínimo alcanzado en las últimas barras 📏. Esto permite que el algoritmo ajuste cada señal del gráfico con su propio nivel dinámico, adaptándose a las condiciones del mercado en tiempo real 🕰️.
🚀 Características Clave:
1️⃣ Cálculo Dinámico de Canales 📊:
Los canales se ajustan de acuerdo con la acción reciente del precio. En lugar de depender únicamente de promedios simples, los límites superior e inferior de cada canal se calculan usando multiplicadores aplicados al rango reciente de precios. Esto permite que los canales reflejen cambios en la volatilidad del mercado, expandiendo o contrayéndose dinámicamente 🌐.
2️⃣ Optimización Dinámica de TP y SL 🎯:
Los niveles de TP y SL se calculan automáticamente tras cada señal, utilizando porcentajes ajustables basados en la amplitud del rango de precios recientes 📉.
3️⃣ Seguimiento en Tiempo Real ⏱️:
La tabla informativa ofrece una visión rápida del estado de la operación actual, facilitando la toma de decisiones 📋.
________________________________________
🧩 Función de Confirmación:
El Canal 2 (largo plazo) actúa como confirmación del Canal 1 (corto plazo). Las señales se validan cuando el precio atraviesa los límites de ambos canales simultáneamente 🔄.
• Señal de Compra 🟢: El precio debe cerrar por encima de los límites superiores de ambos canales en al menos dos velas confirmadas ✅.
• Señal de Venta 🔴: El precio debe cerrar por debajo de los límites inferiores de ambos canales en al menos dos velas confirmadas ⛔.
________________________________________
🎯 1: Take Profit Multinivel con Alertas 🔔:
Este sistema avanzado de Take Profit (TP) calcula tres niveles distintos de TP para cada operación, establecidos de manera dinámica según los movimientos y patrones recientes del mercado 🌐.
➡️ Cálculo Dinámico de Niveles de TP:
• El código genera tres niveles de Take Profit: TP1, TP2 y TP3 🔢.
• Estos niveles se calculan en función del rango de precio más reciente, multiplicado por un factor ajustable que determina la distancia en la que se colocará cada TP 📐.
• El TP se adapta dinámicamente según la volatilidad del mercado 📊. Si el mercado es más volátil, los niveles de TP serán más amplios; en contraste, en mercados con menor volatilidad, los niveles de TP serán más ajustados 🔍.
➡️ Alertas por Nivel de TP 📲:
• El sistema genera alertas automáticas cuando el precio alcanza cada uno de los niveles de TP1, TP2 y TP3 📢. Esto es útil para que el trader reciba notificaciones en tiempo real sobre cómo se está desarrollando su operación 🕒.
• Estas alertas son completamente personalizables ✨. Puedes configurar alertas específicas para cada señal de compra o venta, así como alertas individuales para cada nivel de TP.
________________________________________
🚫 2: Stop Loss Dinámico con Alerta 🔔:
El sistema de Stop Loss (SL) está diseñado de manera dinámica para adaptarse a las condiciones del mercado, proporcionando una gestión de riesgo más inteligente y reactiva 🛡️.
➡️ Stop Loss Basado en la Volatilidad 📉:
• El nivel de SL se calcula dinámicamente en función de la volatilidad del mercado, ajustándose como un porcentaje del tercer nivel de Take Profit (TP3).
• Por defecto, el SL se establece en un 50% del valor de TP3. Este parámetro puede ser modificado por el usuario para hacerlo más conservador o agresivo ⚙️.
➡️ Adaptabilidad al Mercado 🌐:
• Dado que el SL está basado en la volatilidad reciente, se ajusta automáticamente para que esté más cerca en mercados de baja volatilidad o más lejos en mercados de alta volatilidad 🌪️. Esto ayuda a reducir la probabilidad de que el SL sea alcanzado por fluctuaciones menores 🔄.
➡️ Alertas de Stop Loss y Take Profit 🔔:
• Además de las alertas por niveles de Take Profit, el sistema también genera una alerta cuando el precio alcanza el nivel de Stop Loss ❌.
________________________________________
⚙️ Parámetros Ajustables:
• Período de los Canales 1 y 2: Ajusta la longitud de los canales para diferentes marcos de tiempo 📅.
• Multiplicador de los Canales 1 y 2: Controla la sensibilidad de los canales a los movimientos del precio 🔍.
• Fuente del Precio: Permite la selección entre cierre, apertura, máximo, mínimo, etc. 📈.
• Proporción de Stop Loss: Ajusta el nivel de SL como un porcentaje del Take Profit ⚖️.
________________________________________
💬 Soporte: Para preguntas o soporte, deja un comentario en esta publicación. Intentaré responder lo antes posible 📩.
⚠️ Limitaciones en la Gestión de Riesgos: Aunque el script proporciona niveles de TP y SL, no incluye una gestión de riesgos más sofisticada, como el ajuste del tamaño de la posición según la volatilidad del mercado 📉.
🕒 Marcos de tiempo recomendados: 1D, 4H, 2H, 1H y 30M ⏰
RSI (Kernel Optimized) | Flux Charts💎 GENERAL OVERVIEW
Introducing our new KDE Optimized RSI Indicator! This indicator adds a new aspect to the well-known RSI indicator, with the help of the KDE (Kernel Density Estimation) algorithm, estimates the probability of a candlestick will be a pivot or not. For more information about the process, please check the "HOW DOES IT WORK ?" section.
Features of the new KDE Optimized RSI Indicator :
A New Approach To Pivot Detection
Customizable KDE Algorithm
Realtime RSI & KDE Dashboard
Alerts For Possible Pivots
Customizable Visuals
❓ HOW TO INTERPRET THE KDE %
The KDE % is a critical metric that reflects how closely the current RSI aligns with the KDE (Kernel Density Estimation) array. In simple terms, it represents the likelihood that the current candlestick is forming a pivot point based on historical data patterns. a low percentage suggests a lower probability of the current candlestick being a pivot point. In these cases, price action is less likely to reverse, and existing trends may continue. At moderate levels, the possibility of a pivot increases, indicating potential trend shifts or consolidations.Traders should start monitoring closely for confirmation signals. An even higher KDE % suggests a strong likelihood that the current candlestick could form a pivot point, which could lead to a reversal or significant price movement. These points often align with overbought or oversold conditions in traditional RSI analysis, making them key moments for potential trade entry or exit.
📌 HOW DOES IT WORK ?
The RSI (Relative Strength Index) is a widely used oscillator among traders. It outputs a value between 0 - 100 and gives a glimpse about the current momentum of the price action. This indicator then calculates the RSI for each candlesticks, and saves them into an array if the candlestick is a pivot. The low & high pivot RSIs' are inserted into two different arrays. Then the a KDE array is calculated for both of the low & high pivot RSI arrays. Explaining the KDE might be too much for this write-up, but for a brief explanation, here are the steps :
1. Define the necessary options for the KDE function. These are : Bandwidth & Nº Steps, Array Range (Array Max - Array Min)
2. After that, create a density range array. The array has (steps * 2 - 1) elements and they are calculated by (arrMin + i * stepCount), i being the index.
3. Then, define a kernel function. This indicator has 3 different kernel distribution modes : Uniform, Gaussian and Sigmoid
4. Then, define a temporary value for the current element of KDE array.
5. For each element E in the pivot RSI array, add "kernel(densityRange.get(i) - E, 1.0 / bandwidth)" to the temporary value.
6. Add 1.0 / arrSize * to the KDE array.
Then the prefix sum array of the KDE array is calculated. For each candlestick, the index closest to it's RSI value in the KDE array is found using binary search. Then for the low pivot KDE calculation, the sum of KDE values from found index to max index is calculated. For the high pivot KDE, the sum of 0 to found index is used. Then if high or low KDE value is greater than the activation threshold determined in the settings, a bearish or bullish arrow is plotted after bar confirmation respectively. The arrows are drawn as long as the KDE value of current candlestick is greater than the threshold. When the KDE value is out of the threshold, a less transparent arrow is drawn, indicating a possible pivot point.
🚩 UNIQUENESS
This indicator combines RSI & KDE Algorithm to get a foresight of possible pivot points. Pivot points are important entry, confirmation and exit points for traders. But to their nature, they can be only detected after more candlesticks are rendered after them. The purpose of this indicator is to alert the traders of possible pivot points using KDE algorithm right away when they are confirmed. The indicator also has a dashboard for realtime view of the current RSI & Bullish or Bearish KDE value. You can fully customize the KDE algorithm and set up alerts for pivot detection.
⚙️ SETTINGS
1. RSI Settings
RSI Length -> The amount of bars taken into account for RSI calculation.
Source -> The source value for RSI calculation.
2. Pivots
Pivot Lengths -> Pivot lengths for both high & low pivots. For example, if this value is set to 21; 21 bars before AND 21 bars after a candlestick must be higher for a candlestick to be a low pivot.
3. KDE
Activation Threshold -> This setting determines the amount of arrows shown. Higher options will result in more arrows being rendered.
Kernel -> The kernel function as explained in the upper section.
Bandwidth -> The bandwidth variable as explained in the upper section. The smoothness of the KDE function is tied to this setting.
Nº Bins -> The Nº Steps variable as explained in the upper section. It determines the precision of the KDE algorithm.
Uptrick: Dynamic AMA RSI Indicator### **Uptrick: Dynamic AMA RSI Indicator**
**Overview:**
The **Uptrick: Dynamic AMA RSI Indicator** is an advanced technical analysis tool designed for traders who seek to optimize their trading strategies by combining adaptive moving averages with the Relative Strength Index (RSI). This indicator dynamically adjusts to market conditions, offering a nuanced approach to trend detection and momentum analysis. By leveraging the Adaptive Moving Average (AMA) and Fast Adaptive Moving Average (FAMA), along with RSI-based overbought and oversold signals, traders can better identify entry and exit points with higher precision and reduced noise.
**Key Components:**
1. **Source Input:**
- The source input is the price data that forms the basis of all calculations. Typically set to the closing price, traders can customize this to other price metrics such as open, high, low, or even the output of another indicator. This flexibility allows the **Uptrick** indicator to be tailored to a wide range of trading strategies.
2. **Adaptive Moving Average (AMA):**
- The AMA is a moving average that adapts its sensitivity based on the dominant market cycle. This adaptation allows the AMA to respond swiftly to significant price movements while smoothing out minor fluctuations, making it particularly effective in trending markets. The AMA adjusts its responsiveness dynamically using a calculated phase adjustment from the dominant cycle, ensuring it remains responsive to the current market environment without being overly reactive to market noise.
3. **Fast Adaptive Moving Average (FAMA):**
- The FAMA is a more sensitive version of the AMA, designed to react faster to price changes. It serves as a signal line in the crossover strategy, highlighting shorter-term trends. The interaction between the AMA and FAMA forms the core of the signal generation, with crossovers between these lines indicating potential buy or sell opportunities.
4. **Relative Strength Index (RSI):**
- The RSI is a momentum oscillator that measures the speed and change of price movements, providing insights into whether an asset is overbought or oversold. In the **Uptrick** indicator, the RSI is used to confirm the validity of crossover signals between the AMA and FAMA, adding an additional layer of reliability to the trading signals.
**Indicator Logic:**
1. **Dominant Cycle Calculation:**
- The indicator starts by calculating the dominant market cycle using a smoothed price series. This involves applying exponential moving averages to a series of price differences, extracting cycle components, and determining the instantaneous phase of the cycle. This phase is then adjusted to provide a phase adjustment factor, which plays a critical role in determining the adaptive alpha.
2. **Adaptive Alpha Calculation:**
- The adaptive alpha, a key feature of the AMA, is computed based on the fast and slow limits set by the trader. This alpha is clamped within these limits to ensure the AMA remains appropriately sensitive to market conditions. The dynamic adjustment of alpha allows the AMA to be highly responsive in volatile markets and more conservative in stable markets.
3. **Crossover Detection:**
- The indicator generates trading signals based on crossovers between the AMA and FAMA:
- **CrossUp:** When the AMA crosses above the FAMA, it indicates a potential bullish trend, suggesting a buy opportunity.
- **CrossDown:** When the AMA crosses below the FAMA, it signals a potential bearish trend, indicating a sell opportunity.
4. **RSI Confirmation:**
- To enhance the reliability of these crossover signals, the indicator uses the RSI to confirm overbought and oversold conditions:
- **Buy Signal:** A buy signal is generated only when the AMA crosses above the FAMA and the RSI confirms an oversold condition, ensuring that the signal aligns with a momentum reversal from a low point.
- **Sell Signal:** A sell signal is triggered when the AMA crosses below the FAMA and the RSI confirms an overbought condition, indicating a momentum reversal from a high point.
5. **Signal Management:**
- To prevent signal redundancy during strong trends, the indicator tracks the last generated signal (buy or sell) and ensures that the next signal is only issued when there is a genuine reversal in trend direction.
6. **Signal Visualization:**
- **Buy Signals:** The indicator plots a "BUY" label below the bar when a buy signal is generated, using a green color to clearly mark the entry point.
- **Sell Signals:** A "SELL" label is plotted above the bar when a sell signal is detected, marked in red to indicate an exit or shorting opportunity.
- **Bar Coloring (Optional):** Traders have the option to enable bar coloring, where green bars indicate a bullish trend (AMA above FAMA) and red bars indicate a bearish trend (AMA below FAMA), providing a visual representation of the market’s direction.
**Customization Options:**
- **Source:** Traders can select the price data input that best suits their strategy (e.g., close, open, high, low, or custom indicators).
- **Fast Limit:** Adjustable sensitivity for the fast response of the AMA, allowing traders to tailor the indicator to different market conditions.
- **Slow Limit:** Sets the slower boundary for the AMA’s sensitivity, providing stability in less volatile markets.
- **RSI Length:** The period for the RSI calculation can be adjusted to fit different trading timeframes.
- **Overbought/Oversold Levels:** These thresholds can be customized to define the RSI levels that trigger buy or sell confirmations.
- **Enable Bar Colors:** Traders can choose whether to enable bar coloring based on the AMA/FAMA relationship, enhancing visual clarity.
**How Different Traders Can Use the Indicator:**
1. **Day Traders:**
- **Uptrick: Dynamic AMA RSI Indicator** is highly effective for day traders who need to make quick decisions in fast-moving markets. The adaptive nature of the AMA and FAMA allows the indicator to respond rapidly to intraday price swings. Day traders can use the buy and sell signals generated by the crossover and RSI confirmation to time their entries and exits with greater precision, minimizing exposure to false signals often prevalent in high-frequency trading environments.
2. **Swing Traders:**
- Swing traders can benefit from the indicator’s ability to identify and confirm trend reversals over several days or weeks. By adjusting the RSI length and sensitivity limits, swing traders can fine-tune the indicator to catch longer-term price movements, helping them to ride trends and maximize profits over medium-term trades. The dual confirmation of crossovers with RSI ensures that swing traders enter trades that have a higher probability of success.
3. **Position Traders:**
- For position traders who hold trades over longer periods, the **Uptrick** indicator offers a reliable method to stay in trades that align with the dominant trend while avoiding premature exits. By adjusting the slow limit and extending the RSI length, position traders can smooth out the indicator’s sensitivity, allowing them to focus on major market shifts rather than short-term volatility. The bar coloring feature also provides a clear visual indication of the overall trend, aiding in trade management decisions.
4. **Scalpers:**
- Scalpers, who seek to profit from small price movements, can use the fast responsiveness of the FAMA in conjunction with the RSI to identify micro-trends within larger market moves. The indicator’s ability to adapt quickly to changing conditions makes it a valuable tool for scalpers looking to execute numerous trades in a short period, capturing profits from minor price fluctuations while avoiding prolonged exposure.
5. **Algorithmic Traders:**
- Algorithmic traders can incorporate the **Uptrick** indicator into automated trading systems. The precise crossover signals combined with RSI confirmation provide clear and actionable rules that can be coded into algorithms. The adaptive nature of the indicator ensures that it can be used across different market conditions and timeframes, making it a versatile component of algorithmic strategies.
**Usage:**
The **Uptrick: Dynamic AMA RSI Indicator** is a versatile tool that can be integrated into various trading strategies, from short-term day trading to long-term investing. Its ability to adapt to changing market conditions and provide clear buy and sell signals makes it an invaluable asset for traders seeking to improve their trading performance. Whether used as a standalone indicator or in conjunction with other technical tools, **Uptrick** offers a dynamic approach to market analysis, helping traders to navigate the complexities of financial markets with greater confidence.
**Conclusion:**
The **Uptrick: Dynamic AMA RSI Indicator** offers a comprehensive and adaptable solution for traders across different styles and timeframes. By combining the strengths of adaptive moving averages with RSI confirmation, it delivers robust signals that help traders capitalize on market trends while minimizing the risk of false signals. This indicator is a powerful addition to any trader’s toolkit, enabling them to make informed decisions with greater precision and confidence. Whether you're a day trader, swing trader, or long-term investor, the **Uptrick** indicator can enhance your trading strategy and improve your market outcomes.
