Position Size Calc. (Risk Management Tool)Programmed this tool to help prevent overtrading.
Example of application:
Suppose you want to trade ETHUSDT on a 1 minute chart and you are only willing to risk $10 in one single trade. This way, if you get stopped out, then you will only lose $10. Say you are using ATR based stop loss at 2x current ATR to set the initial stop. All these variables are now fixed, so you must make an adjustment to the size of your position.
Quick illustration: Tolerable loss per trade is $10 , the current ATR of ETHUSDT is $4.06, the size of your stop is $8.12 (4.06*2), then your position size should be 1.2 ETH ($10/$8.12).
This script will constantly monitor the current ATR and display the optimal position size on chart. Tolerable loss (aka "Risk amount") is defined by user in settings. Lines showing the size of SL and TPs on chart are optional, it was added to the script to help users draw the long/short position measuring tools built into TradingView.
Other notes: Always consider market liquidity, size of bid-ask spreads, and the possibilities of gap ups/downs. It can never be guaranteed that stop market/limit orders will get filled at desirable prices. Actual stop losses might differ.
在腳本中搜尋"Up down"
MACD PlusMoving Average Convergence Divergence – MACD
The MACD is an extremely popular indicator used in technical analysis. It can be used to identify aspects of a security's overall trend. Most notably these aspects are momentum, as well as trend direction and duration. What makes the MACD so informative is that it is actually the combination of two different types of indicators. First, the MACD employs two Moving Averages of varying lengths (which are lagging indicators) to identify trend direction and duration. Then, it takes the difference in values between those two Moving Averages (MACD Line) and an EMA of those Moving Averages (Signal Line) and plots that difference between the two lines as a histogram which oscillates above and below a center Zero Line. The histogram is used as a good indication of a security's momentum.
Added Color Plots to Settings Pane.
Switched MTF Logic to turn ON/OFF automatically w/ TradingView's Built in Feature.
Added Ability to Turn ON/OFF Show MacD & Signal Line.
Added Ability to Turn ON/OFF Show Histogram.
Added Ability to Change MACD Line Colors Based on Trend.
Added Ability to Highlight Price Bars Based on Trend.
Added Alerts to Settings Pane.
Customized Alerts to Show Symbol, TimeFrame, Closing Price, MACD Crosses Up & MACD Crosses Down Signals in Alert.
Alerts are Pre-Set to only Alert on Bar Close.
Added ability to show Dots when MACD Crosses.
Added Ability to Change Plot Widths in Settings Pane.
Added in Alert Feature where Cross Up if above 0 or cross down if below 0 (OFF By Default).
Squeeze Pro
Traditionally, John Carter's version uses 20 period SMAs as the basis lines on both the BB and the KC.
In this version, I've given the freedom to change this and try out different types of moving averages.
The original squeeze indicator had only one Squeeze setting, though this new one has three.
The gray dot Squeeze, call it a "low squeeze" or an "early squeeze" - this is the easiest Squeeze to form based on its settings.
The orange dot Squeeze is the original from the first Squeeze indicator.
And finally, the yellow dot squeeze, call it a "high squeeze" or "power squeeze" - is the most difficult to form and suggests price is under extreme levels of compression.
Colored Directional Movement Index (CDMI) , a custom interpretation of J. Welles Wilder’s Directional Movement Index (DMI), where :
DMI is a collection of three separate indicators ( ADX , +DI , -DI ) combined into one and measures the trend’s strength as well as its direction
CDMI is a custom interpretation of DMI which presents ( ADX , +DI , -DI ) with a color scale - representing the trend’s strength, color density - representing momentum/slope of the trend’s strength, and triangle up/down shapes - representing the trend’s direction. CDMI provides all the information in a single line with colored triangle shapes plotted on the bottom. DMI can provide quality information and even trading signals but it is not an easy indicator to master, whereus CDMI simplifies its usage. The CDMI adds additional insight of verifying/confirming the trend as well as its strength
Label :
Displaying the trend strength and direction
Displaying adx and di+/di- values
Displaying adx's momentum (growing or falling)
Where tooltip label describes "howto read colored dmi line"
Ability to display historical values of DMI readings displayed in the label.
Added "Expert Trend Locator - XTL"
The XTL was developed by Tom Joseph (in his book Applying Technical Analysis ) to identify major trends, similar to Elliott Wave 3 type swings.
Blue bars are bullish and indicate a potential upwards impulse.
Red bars are bearish and indicate a potential downwards impulse.
White bars indicate no trend is detected at the moment.
Added "Williams Vix Fix" signal. The Vix is one of the most reliable indicators in history for finding market bottoms. The Williams Vix Fix is simply a code from Larry Williams creating almost identical results for creating the same ability the Vix has to all assets.
The VIX has always been much better at signaling bottoms than tops. Simple reason is when market falls retail traders panic and increase volatility , and professionals come in and capitalize on the situation. At market tops there is no one panicking... just liquidity drying up.
The FE green triangles are "Filtered Entries"
The AE green triangles are "Aggressive Filtered Entries"
Market Trend using First Derivative of MAs + Volatility Based on Smooth First Derivative Indicator by tbiktag
Volatility also from another public TV script, forgot which one though, sorry if this is yours and I haven't credited your work, let me know if it is and I'll reference it properly.
About this indicator:
Estimates whether market is trending up, down or sideways by adding the slope (first derivatives) of a fast & slow MA. Uptrend = Green, Downtrend = Red, Sideways = Yellow
Uses a minimum slope percentile to determine threshold for uptrend, downtrend & sideways. Definitely adjust this when changing timeframes, for BTCUSD at 1 hour timeframe a value of 25 is decent
Also has a measure of Volatility if you're into that
Explanation of inputs:
Bandwidth - for derivative function
Fastma - period for fast Moving Average
Slowma - period for slow Moving Average
Derivmalength - smooths out the signal, reducing single contrasting bars, but delays the signal. Use 1 if don't want to use
V length - ema of volatility if you want to smooth it
Min Slope Percentile - slope should exceed this percentile to be classified as uptrend (green) or downtrend (red) anything in this bottom percentile will be considered sideways
Mine Slope Lookback Period - # of bars back to calculate Slope Percentile
Volume Indicators PackageCONTAINS 3 OF MY BEST VOLUME INDICATORS ALL FOR THE PRICE OF ONE!
CONTAINS:
Average Dollar Volume in RED
Up/Down Volume Ratio in Green
Volume Buzz/Volume Run Rate in BLUE
If you would like to get these individually, I also have scripts for that too.
Below is information about all three of these indicators, what they do, and why they are important.
---------------------------------------------------------------------------------------------AVERAGE DOLLAR VOLUME----------------------------------------------------------------------------------------
Dollar volume is simply the volume traded multiplied times the cost of the stock.
Dollar volume is an extremely important metric for finding stocks with enough liquidity for market makers to position themselves in. Market Liquidity is defined as market's feature whereby an individual or firm can quickly purchase or sell an asset without causing a drastic change in the asset's price. The key concept you want to understand is that these big instructions with billions of dollars need liquidity in a stock in order to even think about buying it, and therefore these institutions will demand a large dollar volume . A good dollar volume amount, that represents a pretty liquid name, is typically above 100 million $ average. Why are institutions important? Simple because they are the ones who make stocks move, and I mean really move. If you want to see large growth from a stock in a short amount of time, you need institutions wielding billions of dollars to be fighting one another to buy more shares. Institutions are the ones who make or break a stock, this is why we call them market makers.
My script calculates average dollar volume using four averages: the 50, the 30, the 20, and the 10 period. I use multiple averages in order to provide the accurate and up to date information to you. It then selects the minimum of these averages and divides this value by 1 million and displays this number to you.
TL;DR? If you want monster moves from your stocks, you need to pick names with average high liquidity(dollar volume >= $100 million). The number presented to you is in millions of whatever currency the name is traded in.
---------------------------------------------------------------------------------------------UP/DOWN VOLUME RATIO-----------------------------------------------------------------------------------------
Up/Down Volume Ratio is calculated by summing volume on days when it closes up and divide that total by the volume on days when the stock closed down.
High volume up days are typically a sign of accumulation(buying) by big players, while down days are signs of distribution(selling) by big market players. The Up Down volume ratio takes this assumption and turns it into a tangible number that's easier for the trader to understand. My formula is calculated using the past 50 periods, be warned it will not display a value for stocks with under 50 periods of trading history. This indicator is great for identify accumulation of growth stocks early on in their moves, most of the time you would like a growth stocks U/D value to be above 2, showing institutional sponsorship of a stock.
Up/Down Volume value interpretation:
U/D < 1 -> Bearish outlook, as sellers are in control
U/D = 1 -> Sellers and Buyers are equal
U/D > 1 -> Bullish outlook, as buyers are in control
U/D > 2 -> Bullish outlook, significant accumulation underway by market makers
U/D >= 3 -> MONSTER STOCK ALERT, market makers can not get enough of this stock and are ravenous to buy more
U/D values greater than 2 are rare and typically do not last very long, and U/D >= 3 are extremely rare one example I kind find of a stock's U/D peaking above 3 was Google back in 2005.
-----------------------------------------------------------------------------------------------------VOLUME BUZZ-----------------------------------------------------------------------------------------------
Volume Buzz/ Volume Run Rate as seen on TC2000 and MarketSmith respectively.
Basically, the volume buzz tells you what percentage over average(100 time period moving average) the volume traded was. You can use this indicator to more readily identify above-average trading volume and accumulation days on charts. The percentage will show up in the top left corner, make sure to click the settings button and uncheck the second box(left of plot) in order to get rid of the chart line.
Relative Strength RatioAbout this indicator:
This indicator goes under many different names such as Relative Strength Ratio, Comparative Strength, Relative Strength Comparison (RSC) etc.
It compares the strength of the current asset to another asset of your choice and displays the relative strength of the current asset. (Not RSI)
There are several comparative indicators published already here on TV but I have added some unique features that I think is really useful.
When to use it:
This is useful when you want to compare for example a stock with its sector to find out if the stock is a leadership stock in that sector or main index.
You could also use it to compare the sector to its index etc.
If you want to compare for example a stock to both its index and its sector at the same time I suggest you add 2 instances of this indicator.
In many trading systems you are supposed find the strongest tickers by identifying "layers of strength" like 1. The strongest asset class that money is flowing into (like stocks, commodities, bonds, etc.) 2. Find the strongest sectors. 3. Find the stocks outperforming those sectors. 4. Find some kind of entry signal there.
How it works:
The indicator calculates an "RS line" (Relative Strength) by dividing the current ticker with a ticker of your choice. This creates a ratio or pair similar to how currencies are related to each others like USDGBP (dollar against pound). The RS line is black by default so you might want to change its color if you use a dark theme.
If the RS line is moving up it means your current asset is stronger than the asset you are comparing it with and vice versa.
Use the simple moving average to quickly see long term strength trends.
Features
RS line
Shows the relative strength of the current asset.
SMA
This Simple Moving Average has directional coloring; green when it is angled up and red when it is angled down. You can customise the period in the settings. If you don't want the color change just make both up/down color the same.
Relative market label
This displays the market you are currently comparing with as a label next to the last data point.
Because I tried stocks in 2 different countries I want to know which index I am comparing with and this label saves me from going into the settings to check. I find it to be a life saver!
Please let me know if you find any problems or if you have any ideas for improvement
Cyclic Smoothed RSI with Motive-Corrective Wave Indicator
This indicator uses the cyclic smoothed Relative Strength Index (cRSI) instead of the traditional Relative Strength Index (RSI). See below for more info on the benefits to the cRSI.
My key contributions
1) A Weighted Moving Average (WMA) to track the general trend of the cRSI signal. This is very helpful in determining when the equity switches from bullish to bearish, which can be used to determine buy/sell points. This is then is used to color the region between the upper and lower cRSI bands (green above, red below).
2) An attempt to detect the motive (impulse) and corrective and waves. Corrective waves are indicated A, B, C, D, E, F, G. F and G waves are not technically Elliot Waves, but the way I detect waves it is really hard to always get it right. Once and a while you could actually see G and F a second time. Motive waves are identified as s (strong) and w (weak). Strong waves have a peak above the cRSI upper band and weak waves have a peak below the upper band.
3) My own divergence indicator for bull, hidden bull, bear, and hidden bear. I was not able to replicate the TradingView style of drawing a line from peak to peak, but for this indicator I think in the end it makes the chart cleaner.
There is a latency issue with an indicator that is based on moving averages. That means they tend to trigger right after key events. Perfect timing is not possible strictly with these indicators, but they do work very well "on average." However, my implementation has minimal latency as peaks (tops/bottoms) only require one bar to detect.
As a bit of an Easter Egg, this code can be tweaked and run as a strategy to get buy/sell signals. I use this code for both my indicator and for trading strategy. Just copy and past it into a new strategy script and just change it from study to a strategy, something like this:
strategy("cRSI + Waves Strategy with VWMA overlay", overlay=overlay)
The buy/sell code is at the end and just needs to be uncommented. I make no promises or guarantees about how good it is as a strategy, but it gives you some code and ideas to work with.
Tuning
1) Volume Weighted Moving Average (VWMA): This is a “hidden strategy” feature implemented that will display the high-low bands of the VWMA on the price chart if run the code using “overlay = true”.
- If the equity does not have volume, then the VWMA will not show up. Uncheck this box and it will use the regular WMA (no volume).
- defines how far back the WMA averages price.
2) cRSI (Black line in the indicator)
- Increase to length that amount of time a band (upper/lower) stays high/low after a peak. Reduce the value to shorten the time. Just increment it up/down to see the effect.
- defines how far back the SMA averages the cRSI. This affects the purple line in the indicator.
- defines how many bars back the peak detector looks to determine if a peak has occurred. For example, a top is detected like this: current-bar down relative to the 1-bar-back, 1-bar-back up relative to 2-bars-back (look back = 1), c) 2-bars-back up relative to 3-bars-back (lookback = 2), and d) 3-bars-back up relative to 4-bars-back (lookback = 3). I hope that makes sense. There are only 2 options for this setting: 2 or 3 bars. 2 bars will be able to detect small peaks but create more “false” peaks that may not be meaningful. 3 bars will be more robust but can miss short duration peaks.
3) Waves
- The check boxes are self explanatory for which labels they turn on and off on the plot.
4) Divergence Indicators
- The check boxes are self explanatory for which labels they turn on and off on the plot.
Hints
- The most common parameter to change is the . Different stocks will have different levels of strength in their peaks. A setting of 2 may generate too many corrective waves.
- Different times scales will give you different wave counts. This is to be expected. A counter impulse wave inside a corrective wave may actually go above the cRSI WMA on a smaller time frame. You may need to increase it one or two levels to see large waves.
- Just because you see divergence (bear or hidden bear) does not mean a price is going to go down. Often price continues to rise through bears, so take note and that is normal. Bulls are usually pretty good indicators especially if you see them on C,E,G waves.
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cyclic smoothed RSI (cRSI) indicator
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The “core” code for the cyclic smoothed RSI (cRSI) indicator was written by Lars von Theinen and is subject to the terms of the Mozilla Public License 2.0 at mozilla.org Copyright (C) 2017 CC BY, whentotrade / Lars von Thienen. For more details on the cRSI Indicator:
The cyclic smoothed RSI indicator is an enhancement of the classic RSI, adding
1) additional smoothing according to the market vibration,
2) adaptive upper and lower bands according to the cyclic memory and
3) using the current dominant cycle length as input for the indicator.
It is much more responsive to market moves than the basic RSI. The indicator uses the dominant cycle as input to optimize signal, smoothing, and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Decoding The Hidden Market Rhythm - Part 1: Dynamic Cycles (2017), Chapter 4: "Fine-tuning technical indicators." You need to derive the dominant cycle as input parameter for the cycle length as described in chapter 4.
Hope this helps and good luck.
KINSKI Laguerre Filter WaveThe "Laguerre Filter Wave" Indicator usually shows market cycles and is a perfect fit for swing traders who trade with market fluctuations. Upward-trends are shown as green lines and optional bands. Downward trends are represented by the color red. Each of the 18 available lines can be adjusted to your own preferences via a gamma factor.
You also have the following display options:
- "Up/Down Movements: On/Off" - Shows ascending and descending of lines
- "Bands: On/Off" - Fills the space between the lines with colors to indicate up or down trends
- "Bands: Transparency" - sets the transparency of the fill color
- "MA Line: Size" - sets the width of the lines
- "MA Line: Transparency" - sets the transparency of the lines
KINSKI Flexible MACDFlexible MACD (Moving Average Convergence/Divergence) Indicator
The Moving Average Convergence Divergence consists of three elements: two moving averages (the MACD line and the signal line) and a histogram. The blue MACD line is the difference between a longer and a shorter EMA (here 13 and 21 periods preset), the red signal line is an SMA (here 8 preset) on the MACD line. The histogram (green: ascending, red: descending) shows the difference between both lines.
As soon as the blue MACD line crosses the red signal line, circles are generated that indicate an up/down trend. If the red signal line is greater than or equal to the blue MACD line, this indicates a downward trend (red circle). If the blue MACD line is greater than or equal to the red signal line, this indicates an upward trend (green circle).
The special thing about this MACD indicator is the many setting options, especially the definition of the MA variants for MACD (Fast, Slow) and signal. You can define the following MA types: "COVWMA", "DEMA", "EMA", "EHMA", "FRAMA", "HMA", "KAMA", "RMA", "SMA", "SMMA", "VIDYA", "VWMA", "WMA".
You also have the following display options:
- "Up/Down Movements: On/Off" - Shows ascending and descending MACD, signal lines
- "Up/Down Movements: Rising Length" - Defines the length from which ascending or descending lines are detected
- "Bands: On/Off" - Fills the space between MACD and signal lines with colors to indicate up or down trends
- "Bands: Transparency" - sets the transparency of the fill color
Disclaimer: I am not a financial advisor. For purpose educate only. Use at your own risk.
ADX TriggerThis script fires off a buy alert when the ADX is rising and above a user-defined value (default 25). It fires off a sell signal when ADX starts sloping downward. The lookback period to determine if it is sloping up/down (in bars) is also configurable by the user. The plot highlights green when there is a "go" signal. Thanks to @9e52f12edd034d28bdd5544e7ff92e for the idea.
Run Up/Down TriggerTriggers for a sequential number of periods going up or down, with separate thresholds for up and down.
VRSI-MARSI AI wanted to create an indicator which resembles price movement, aside to volume movement.
MARSI (= MA RSI(close)) = "yellow-blue" line which is the MA(5) of the RSI (9) of closing price.
VRSI (= MA RSI(Volume)) = "orange" line which is the MA(5) of the RSI (9) of Volume .
(Default plot of RSI and VRSI is not visible but can be made visible ("Settings" > "Style" > set "Opacity" of "RSI & VRSI"))
Because it still is a RSI indicator, the midline (50), and Oversold/Overbought area's (20-30 & 70-80) are important to watch, especially the MARSI!
Comparing the price movement with the "orange" Volume VRSI line helps to spot a possible trend change,
for example when price goes up and an ascending Volume VRSI line starts to flatten or starts descending,
this could be a sign that the Bullish trend is weakening, predicting a possible trend change.
Or, when for example a downwards price movement is accompanied with a rising Volume VRSI line, this can be a sign of large Bearish power.
This study comes with Bollinger Bands as an assisting tool, it is default made not visible but can be made visible
("settings" > "style" > Set "Opacity" of "basis, upper & lower")
You can see where the MARSI ("yellow-blue" line) crosses the "basis", or bounces off the bands, ...
All this is seen in "VRSI-MARSI B"
"VRSI-MARSI A" contains the alerts:
1) Long/Short = "Triangle UP/DOWN", color: lime/red
Condition: Movement of MA(5) of RSI (9) of price (close )
2) Long2/Short2 = ">", color: lime/red
Condition: Long/Short condition is true for 2 or more bars (= continuation)
3) Long3/Short3 = "•", color: lime/red
Condition: MA RSI (Close) crosses MA RSI ( Volume )
1 or more alerts can easily be disabled if desired (settings > inputs)
Thanks!
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More information available in the script ;-)
VRSI-MARSI BI wanted to create an indicator which resembles price movement, aside to volume movement.
MARSI (= MA RSI(close)) = "yellow-blue" line which is the MA(5) of the RSI (9) of closing price.
VRSI (= MA RSI(Volume)) = "orange" line which is the MA(5) of the RSI (9) of Volume .
(Default plot of RSI and VRSI is not visible but can be made visible ("Settings" > "Style" > set "Opacity" of "RSI & VRSI"))
Because it still is a RSI indicator, the midline (50), and Oversold/Overbought area's (20-30 & 70-80) are important to watch, especially the MARSI!
Comparing the price movement with the "orange" Volume VRSI line helps to spot a possible trend change,
for example when price goes up and an ascending Volume VRSI line starts to flatten or starts descending,
this could be a sign that the Bullish trend is weakening, predicting a possible trend change.
Or, when for example a downwards price movement is accompanied with a rising Volume VRSI line, this can be a sign of large Bearish power.
This study comes with Bollinger Bands as an assisting tool, it is default made not visible but can be made visible
("settings" > "style" > Set "Opacity" of "basis, upper & lower")
You can see where the MARSI ("yellow-blue" line) crosses the "basis", or bounces off the bands, ...
All this is seen in "VRSI-MARSI B"
"VRSI-MARSI A" contains the alerts:
1) Long/Short = "Triangle UP/DOWN", color: lime/red
Condition: Movement of MA(5) of RSI (9) of price (close )
2) Long2/Short2 = ">", color: lime/red
Condition: Long/Short condition is true for 2 or more bars (= continuation)
3) Long3/Short3 = "•", color: lime/red
Condition: MA RSI (Close) crosses MA RSI ( Volume )
1 or more alerts can easily be disabled if desired (settings > inputs)
Thanks!
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More information available in the script ;-)
Visual RSI [LucF]Visual RSI offers a different way of looking at RSI by providing a composite representation of 9 different RSI-generated components. Instead of focusing on one line only, this approach blends multiple sources to provide the viewer with a larger context RSI-based picture.
For those who don’t want to read
• Green in bullish (>50) zone is the most bullish.
• Red in bullish zone doesn’t necessarily mean bearish—it just means bullish strength is weakening. It may be just a pause before a reprise or exhaustion signalling a reversal—impossible to tell.
• The same in inverse applies to the bearish zone (<50).
For those who want to understand
The nine components making up Visual RSI are:
• a current timeframe RSI
• a higher timeframe RSI
• the delta between these two RSI lines
• for each of these three basic components, two independent Bollinger band: one calculated for the bullish section of the scale (>50) and a separate one calculated for the lower bearish region.
Dual BBs
In my view, RSI’s position with regards to the centerline is much more important than its position in extreme areas. Why? Because the building block of RSI is the ratio of the averages of up/down moves during the RSI period. When the average of ups is greater, RSI is > 50. So while a rising signal starting from 20 let’s say, indicates that the rate of change is increasing, only when it crosses 50 can we say that sentiment balance has truly become bullish, and this information is more reliable than the signal being at a level corresponding to whatever estimate we make of what constitutes an extreme value. In my landscape, the general balance of a ratio provides more valuable information than the ratio’s exact value.
The idea behind the dual BBs is to provide independent tracking information for both halves of the indicator’s space, which I find more useful than the normal method of simply adding a multiple of the standard deviation on both sides of the mean. With dual BBs, the upper BB will never go lower than the indicator’s centerline, and the lower BB will never go higher. The upper BB focuses on upper-bound volatility when the signal is bearish, and the lower BB focuses on downside volatility when the signal is bearish.
The functions used to calculate the independent BBs are reusable on other signals if a centerline can be defined for them. A clamping percentage is implemented, so that when a BB line is hugging the centerline it clamps to it. This helps in providing earlier signals when they use the BB line states.
Providing context to RSI
What RSI measures indirectly is the balance in the rate of change—or the speed of price movement, but not its instant value, otherwise RSI would be even noisier. More precisely, RSI represents the relative strength of the up/down movement in the last n bars of RSI’s length, with 14 often used because that’s what Wilder proposed (Visual RSI’s defaults are 20 for the current timeframe and 40 for the higher timeframe). At every bar, a new value is added to the equation and an old value carrying equal weight is dropped, so a large dropped off value will have more impact on RSI’s value if the new bar’s move is small. This accounts for some of RSI’s speed in identifying exhaustion after important moves, but almost for some of its noise.
Visual RSI is the result of trying to drown RSI’s noise in the context of other informational streams, while simultaneously providing even faster information than RSI alone, by giving more visual weight to the delta between the current and higher timeframe RSI’s.
How to read Visual RSI
The default settings show all 9 basic components as green/red areas of intensities varying with their importance. The most intense colors are reserved for the delta RSI and the BBs have the lightest intensities. The individual lines of components are intentionally difficult to distinguish so that focus is first on the general picture, including the all-important six-state background, and then on the delta RSI.
One entry setup could be reversals in a larger trend context, so low pivots of the delta in a fully bullish context (a green background in the upper section of the indicator), and inversely, high pivots in a fully bearish context (a red background in the lower section of the indicator).
Please resist the common misconception, when interpreting RSI, that a reversal in the signal will necessarily lead to a reversal in price. Each trend has its rhythm. Only machine-generated price action can progress regularly. It’s normal for trends to take a breather for some time before they continue or reverse, as traders driving the trend experience emotional fatigue and gradual fear. RSI reversals merely signify that such a breather has occurred—nothing more. Only the larger context can provide information that can situate that pause and put more meaningful odds on it having more probability of continuing in one direction or the other. This is the reasoning behind the setup just described.
Features
• All components can be hidden, displayed as a simple line, a uniformly colored fill, or a green/red fill (the default).
• The background can be colored using 9 different methods, including 3 six-state methods using the rising/falling BB lines of the 3 basic components. These six states allow for bullish/bearish/neutral sentiment in both the upper and lower regions of the indicator. A bearish (dark red) background in the bullish (>50) section of the indicator represents decreasing bullishness. A bearish (slightly brighter red) in the bearish (<50) section of the indicator means incresingly bearish sentiment. The six-state backgrounds allow for neutral (no color) sentiment when no compelling signs can be found to conclude anything with meaningful odds. The default background uses the six-state method on the higher timeframe RSI’s BBs because I find it the most useful, as it represents the largest—and slowest—context sentiment among all the indicator’s components.
• A thin status bar in the top part of the indicator also allows selection of the same 9 methods to color it. The default is a triple-state system using the rising/falling characteristics of the current timeframe RSI’s BBs to provide a short-term counterbalance to the long-term background.
• Three different markers can be configured using approximately 70 permutations each, each filtered by 20 different filter permutations. When modification of the relevant parameters in the script’s Settings/Settings/Parameters section is added, possibilities are almost endless. If the generated signals are then fed into the PineCoders Engine and combined with the Engine’s own options, the permutations go up another order of magnitude, and changes to any setting can be instantly evaluated using the Engine’s backtesting results.
• Five simple filters can be combined. They are additive. They include volume-related conditions and a chandelier, which I find useful because both volume and volatility (the chandelier using highs/lows and ATR) are sensible complementary sources to RSI’s momentum information. The filter’s state can be shown as a thin line at the bottom of the indicator.
• Alerts can be configured using any of the marker/filter combinations mentioned. As usual, once your markers/filters are set up the way you want, create your alert from the chart/timeframe you want the alert to run on and be sure to use the “Once Per Bar Close” triggering condition. Use an alert message that will remind you of which combination of markers were used when creating the alert.
• A plot providing entry signals for the PineCoders Backtesting & Trading Engine is supplied. It will use whichever marker/filter configuration is active to generate signals.
• All higher timeframe information is non-repainting. Higher timeframe lines can be smoothed (the default). The selection of the higher timeframe can be made using 3 different methods:
1. By steps (if current timeframe <= 1 minute: 60 min, <= 60 min: 1D, <= 6H: 3D, <= 1D: 1W, <=1W: 1M, >1W: 12M)
2. By a user-defined multiple of the current timeframe
3. Using a fixed timeframe
Thanks to:
• Alex Orekhov aka @everget for the chandelier code.
• @RicardoSantos who through a small remark early on, unknowingly put me on the track of eliminating noise through visual crowding.
• The brilliant guys in the PineCoders Pro room for your knowledge, limitless creativity and constant companionship.
Chaikin Oscillator HystogramThis indicator shows an hystogram with the Chainkin Oscilator values, with color changes in function of the direction (up/down) . Also show the 0 crossovers, up and down.
Chaikin Oscillator gets its name from its creator, Marc Chaikin.
The Chaikin Indicator applies MACD to the accumulation-distribution line rather than closing price.
For me it's very usefull to identify (or confirm) trends up and trends down.
All my published scripts:
es.tradingview.com
Percentage OscillatorUsing momentum calculations on multiple time frames and adding everything together into 4 separate directions:
1- green: the strength and momentum in +45 to +90 degrees angle
2- blue: the strength and momentum in 0 to +45 degrees angle
3- orange: the strength and momentum in 0 to -45 degrees angle
4- red: the strength and momentum in -45 to -90 degrees angle
Single parameter to control the size of the largest moving window.
Uptrend is green with orange corrections
Downtrend is red with blue corrections
When downtrend turns into uptrend, blue becomes green
When uptrend turns into downtrend, orange becomes red
The natural cycle of the market is RED->BLUE->GREEN->ORANGE and so on, you will see the cycle repeats itself 3 times before a break up\down. The strength of the movement depends on the height and width of all the waves that created the 3 cycle movement (reminds Elliot in an oscillatory representation)
The script is provided as is, there are no trading strategies implied or recommended.
Feel free to PM with questions
Basic candle patternsBasic candle patterns marker marks:
- Doji stars
- Doji graves
- Doji dragonflies
- Hammers
- Reversed hammers
- Hanging mans
- Falling stars
- Absorption up/down
- Tweezers up/down
- Three inside ups/downs
Kawabunga Swing Failure Points Candles (SFP) by RRBKawabunga Swing Failure Points Candles (SFP) by RagingRocketBull 2019
Version 1.0
This indicator shows Swing Failure Points (SFP) and Swing Confirmation Points (SCP) as candles on a chart.
SFP/SCP candles are used by traders as signals for trend confirmation/possible reversal.
The signal is stronger on a higher volume/larger candle size.
A Swing Failure Point (SFP) candle is used to spot a reversal:
- up trend SFP is a failure to close above prev high after making a new higher high => implies reversal down
- down trend SFP is a failure to close below prev low after making a new lower low => implies reversal up
A Swing Confirmation Point (SCP) candle is just the opposite and is used to confirm the current trend:
- up trend SCP is a successful close above prev high after making a new higher high => confirms the trend and implies continuation up
- down trend SCP is a successful close below prev low after making a new lower low => confirms the trend and implies continuation down
Features:
- uses fractal pivots with optional filter
- show/hide SFP/SCP candles, pivots, zigzag, last min/max pivot bands
- dim lag zones/hide false signals introduced by lagging fractals or
- use unconfirmed pivots to eliminate fractal lag/false signals. 2 modes: fractals 1,1 and highest/lowest
- filter only SFP/SCP candles confirmed with volume/candle size
- SFP/SCP candles color highlighting, dim non-important bars
Usage:
- adjust fractal settings to get pivots that best match your data (lower values => more frequent pivots. 0,0 - each candle is a pivot)
- use one of the unconfirmed pivot modes to eliminate false signals or just ignore all signals in the gray lag zones
- optionally filter only SFP/SCP candles with large volume/candle size (volume % change relative to prev bar, abs candle body size value)
- up/down trend SCP (lime/fuchsia) => continuation up/down; up/down trend SFP (orange/aqua) => possible reversal down/up. lime/aqua => up; fuchsia/orange => down.
- when in doubt use show/hide pivots/unconfirmed pivots, min/max pivot bands to see which prev pivot and min/max value were used in comparisons to generate a signal on the following candle.
- disable offset to check on which bar the signal was generated
Notes:
Fractal Pivots:
- SFP/SCP candles depend on fractal pivots, you will get different signals with different pivot settings. Usually 4,4 or 2,2 settings are used to produce fractal pivots, but you can try custom values that fit your data best.
- fractal pivots are a mixed series of highs and lows in no particular order. Pivots must be filtered to produce a proper zigzag where ideally a high is followed by a low and another high in orderly fashion.
Fractal Lag/False Signals:
- only past fractal pivots can be processed on the current bar introducing a lag, therefore, pivots and min/max pivot bands are shown with offset=-rightBars to match their target bars. For unconfirmed pivots an offset=-1 is used with a lag of just 1 bar.
- new pivot is not a confirmed fractal and "does not exist yet" while the distance between it and the current bar is < rightBars => prev old fractal pivot in the same dir is used for comparisons => gives a false signal for that dir
- to show false signals enable lag zones. SFP/SCP candles in lag zones are false. New pivots will be eventually confirmed, but meanwhile you get a false signal because prev pivot in the same dir was used instead.
- to solve this problem you can either temporary hide false signals or completely eliminate them by using unconfirmed pivots of a smaller degree/lag.
- hiding false signals only works for history and should be used only temporary (left disabled). In realtime/replay mode it disables all signals altogether due to TradingView's bug (barcolor doesn't support negative offsets)
Unconfirmed Pivots:
- you have 2 methods to check for unconfirmed pivots: highest/lowest(rightBars) or fractals(1,1) with a min possible step. The first is essentially fractals(0,0) where each candle is a pivot. Both produce more frequent pivots (weaker signals).
- an unconfirmed pivot is used in comparisons to generate a valid signal only when it is a higher high (> max high) or a lower low (< min low) in the dir of a trend. Confirmed pivots of a higher degree are not affected. Zigzag is not affected.
- you can also manually disable the offset to check on which bar the pivot was confirmed. If the pivot just before an SCP/SFP suddenly jumps ahead of it - prev pivot was used, generating a false signal.
- last max high/min low bands can be used to check which value was used in candle comparison to generate a signal: min(pivot min_low, upivot min_low) and max(pivot max_high, upivot max_high) are used
- in the unconfirmed pivots mode the max high/min low pivot bands partially break because you can't have a variable offset to match the random pos of an unconfirmed pivot (anywhere in 0..rightBars from the current bar) to its target bar.
- in the unconfirmed pivots mode h (green) and l (red) pivots become H and L, and h (lime) and l (fuchsia) are used to show unconfirmed pivots of a smaller degree. Some of them will be confirmed later as H and L pivots of a higher degree.
Pivot Filter:
- pivot filter is used to produce a better looking zigzag. Essentially it keeps only higher highs/lower lows in the trend direction until it changes, skipping:
- after a new high: all subsequent lower highs until a new low
- after a new low: all subsequent higher lows until a new high
- you can't filter out all prev highs/lows to keep just the last min/max pivots of the current swing because they were already confirmed as pivots and you can't delete/change history
- alternatively you could just pick the first high following a low and the first low following a high in a sequence and ignore the rest of the pivots in the same dir, producing a crude looking zigzag where obvious max high/min lows are ignored.
- pivot filter affects SCP/SFP signals because it skips some pivots
- pivot filter is not applied to/not affected by the unconfirmed pivots
- zigzag is affected by pivot filter, but not by the unconfirmed pivots. You can't have both high/low on the same bar in a zigzag. High has priority over Low.
- keep same bar pivots option lets you choose which pivots to keep when there are both high/low pivots on the same bar (both kept by default)
SCP/SFP Filters:
- you can confirm/filter only SCP/SFP signals with volume % change/candle size larger than delta. Higher volume/larger candle means stronger signal.
- technically SCP/SFP is always the first matching candle, but it can be invalidated by the following signal in the opposite dir which in turn can be negated by the next signal.
- show first matching SCP/SFP = true - shows only the first signal candle (and any invalidations that follow) and hides further duplicate signals in the same dir, does not highlight the trend.
- show first matching SCP/SFP = false - produces a sequence of candles with duplicate signals, highlights the whole trend until its dir changes (new pivot).
Good Luck! Feel free to learn from/reuse the code to build your own indicators!
Renko CandlesticksRenko charts are awesome . They reduce noise by only painting a brick on the chart when price moves by a specified amount up/down. When the price reverses, it must go twice the specified amount before a brick is painted. Time is not a factor, just price movement. Sometimes however, you want the pros of a renko chart, but on a regular candlestick chart. This indicator attempts to do just that.
A band is placed around price action showing the upper and lower bounds of what would be the current renko brick. The band only goes up/down when the price action itself moves up/down by the amount you specify. There are several ways of specifying the amount:
Fixed Price Amount: As the name says, you enter the brick size amount, i.e. the amount the price has to move before being in a new brick.
% of Price: This method will calculate the amount the price has to move as a percentage of the price itself. This way as price goes up/down, your brick size will adjust accordingly. Recommended values would be around 1% or less.
% of ATR: This option will make the brick size a percentage of the Average True Range. You can specify the ATR time frame to be different from your current time frame as well as the ATR length. For instance you could be on a 10 minute chart but specify the ATR to be daily with a length of 3 and a percentage amount of 15. This would make your brick size 15% of the Average True Range for the last 3 days. Recommended values are 10 to 20%.
Use this indicator on any time frame, even the 1 minute as the renko bands span the price action the same way on any time frame easily letting you know whether or not the price has moved appreciably, regardless of how much time has passed.
You can also set alerts easily, simply set the alert to crossing and choose “Renko Candlesticks” instead of “Value”. You will then see the options for the renko upper and lower bounds.
Tested on Bitcoin with the following values:
Fixed Price Amount: 30 ($30)
% of Price: 0.45 (if Bitcoin is $7000 then the brick size would be $31.50)
% of ATR: 15%, ATR Time Frame: 1D, ATR Length: 3 (3 days)
Impulses-1Lines "Total Up Impulses" and "Total Down Impulses" are the sum of impulses in the last n periods (Length).
line 1 => "Total Up Impulses": the sum of up impulses.
line 2 => "Total Down Impulses": the sum of down impulses.
When line 1 crosses up line 2, it indicates an uptrend is comming out.
When line 1 crosses down line 2, it indicates a downtrend is comming out.
Fibonacci Commodity Stenth IndexFibonacci Commodity Strength Value tells us about the strength and weakness of bull or bear market.
The main focus in this is too be done at reversal. It can also be used for identifying fake ups/downs.
If all the 4 lines moves upward after a huge up spike, then notice the values of all 4 values. If red fib is smaller than green fib then it is a fake trend. If its more then its uptrend and same for bear movement. ;)
It also represents cci (in terms of values) and rsi (in terms of waves).
Enjoy !!!!!
ULTRA RSI 2025//@version=6
indicator(title="ULTRA RSI 2025", shorttitle="ULTRA RSI 2025", format=format.price, precision=2)
// ==================== CONFIGURAÇÃO VISUAL FUTURISTA ====================
cyberTheme = input.string("IC", title="🎨 Tema Visual", options= , group="🎨 Visual Settings")
showGradients = input.bool(true, title="🎨 Exibir Preenchimentos em Gradiente", group="🎨 Visual Settings")
glowIntensity = input.float(0.3, title="🎨 Intensidade do Brilho", minval=0.0, maxval=1.0, step=0.1, group="🎨 Visual Settings")
// Cores para hline (usando input.color)
overboughtColor = input.color(color.new(#ff0000, 20), title="📈 Cor Sobrevendido", group="🎨 Visual Settings")
oversoldColor = input.color(color.new(#31fc09, 20), title="📉 Cor Sobrecomprado", group="🎨 Visual Settings")
midlineColor = input.color(color.new(#ffffff, 81), title="⚡ Cor da Linha Média", group="🎨 Visual Settings")
// ==================== CORES FUTURISTAS ====================
getThemeColors() =>
switch cyberTheme
"IC" =>
"Matrix Green" =>
"Tron Orange" =>
"Blade Runner Pink" =>
=>
= getThemeColors()
// Colores adicionales cyber
cyberGreen = color.new(#39FF14, 0)
cyberRed = color.new(#FF073A, 0)
darkCyber = color.new(#0D1117, 0)
neonWhite = color.new(#FFFFFF, 0)
// ==================== CÓDIGO RSI ORIGINAL (SIN MODIFICAR) ====================
rsiLengthInput = input.int(14, minval=1, title=" RSI Length", group=" RSI Settings")
rsiSourceInput = input.source(close, " Source", group=" RSI Settings")
calculateDivergence = input.bool(false, title=" Calculate Divergence", group=" RSI Settings", display = display.data_window, tooltip = "Calculating divergences is needed in order for divergence alerts to fire.")
change = ta.change(rsiSourceInput)
up = ta.rma(math.max(change, 0), rsiLengthInput)
down = ta.rma(-math.min(change, 0), rsiLengthInput)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
// ==================== VISUAL FUTURISTA ====================
// Color dinámico para el RSI
getRsiColor(rsiValue) =>
if rsiValue >= 80
neonPrimary // Azul neón para sobrecomprado
else if rsiValue >= 70
color.new(neonPrimary, 30)
else if rsiValue <= 20
cyberRed // Rojo cyber para sobrevendido
else if rsiValue <= 30
color.new(cyberRed, 30)
else if rsiValue > 50
color.new(cyberGreen, 40)
else
color.new(neonSecondary, 50)
rsiColor = getRsiColor(rsi)
glowColor = color.new(rsiColor, math.round(100 - glowIntensity * 100))
// Plot RSI con efecto glow futurista
rsiPlot = plot(rsi, "🔮 Cyber RSI", color=rsiColor, linewidth=3)
plot(rsi, "✨ RSI Glow 1", color=glowColor, linewidth=5)
plot(rsi, "✨ RSI Glow 2", color=color.new(rsiColor, 90), linewidth=7)
// Líneas de banda con estilo cyber
rsiUpperBand = hline(70, "🔥 Cyber Overbought", color=overboughtColor, linestyle=hline.style_dashed, linewidth=2)
midline = hline(50, " Cyber Midline", color=midlineColor, linestyle=hline.style_dotted)
rsiLowerBand = hline(30, "❄️ Cyber Oversold", color=oversoldColor, linestyle=hline.style_dashed, linewidth=2)
// Background fills futuristas
midLinePlot = plot(50, color = na, editable = false, display = display.none)
// Fill condicional usando operador ternario
backgroundFillColor = showGradients ? color.new(darkCyber, 90) : na
overboughtFillColor = showGradients ? color.new(neonPrimary, 0) : na
overboughtFillColorBottom = showGradients ? color.new(neonPrimary, 100) : na
oversoldFillColorTop = showGradients ? color.new(neonSecondary, 100) : na
oversoldFillColorBottom = showGradients ? color.new(neonSecondary, 0) : na
fill(rsiUpperBand, rsiLowerBand, color=backgroundFillColor, title="🌃 Cyber Background")
fill(rsiPlot, midLinePlot, 100, 70, top_color = overboughtFillColor, bottom_color = overboughtFillColorBottom, title = "🌌 Cyber Overbought Zone")
fill(rsiPlot, midLinePlot, 30, 0, top_color = oversoldFillColorTop, bottom_color = oversoldFillColorBottom, title = "🌌 Cyber Oversold Zone")
// ==================== SMOOTHING MA (CÓDIGO ORIGINAL) ====================
GRP = "🌊 Smoothing"
TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands."
maTypeInput = input.string("SMA", "Type", options = , group = GRP, display = display.data_window)
maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window)
bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window)
var enableMA = maTypeInput != "None"
var isBB = maTypeInput == "SMA + Bollinger Bands"
// Smoothing MA Calculation (CÓDIGO ORIGINAL)
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"SMA + Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Smoothing MA plots con colores cyber
smoothingMA = enableMA ? ma(rsi, maLengthInput, maTypeInput) : na
smoothingStDev = isBB ? ta.stdev(rsi, maLengthInput) * bbMultInput : na
plot(smoothingMA, "🌊 Cyber MA", color=color.new(color.yellow, 0), linewidth=2, display = enableMA ? display.all : display.none, editable = enableMA)
bbUpperBand = plot(smoothingMA + smoothingStDev, title = "🔺 Upper Cyber Band", color=neonPrimary, linewidth=2, display = isBB ? display.all : display.none, editable = isBB)
bbLowerBand = plot(smoothingMA - smoothingStDev, title = "🔻 Lower Cyber Band", color=neonSecondary, linewidth=2, display = isBB ? display.all : display.none, editable = isBB)
// Fill para Bollinger Bands
bbFillColor = isBB ? color.new(neonPrimary, 90) : na
fill(bbUpperBand, bbLowerBand, color=bbFillColor, title="🌌 Cyber Bollinger Fill", display = isBB ? display.all : display.none, editable = isBB)
// ==================== DIVERGENCE (CÓDIGO ORIGINAL CORREGIDO) ====================
lookbackRight = 5
lookbackLeft = 5
rangeUpper = 60
rangeLower = 5
bearColor = cyberRed
bullColor = cyberGreen
textColor = neonWhite
noneColor = color.new(color.white, 100)
// Función _inRange calculada en cada barra
_inRange(bool cond) =>
bars = ta.barssince(cond)
rangeLower <= bars and bars <= rangeUpper
plFound = false
phFound = false
bullCond = false
bearCond = false
rsiLBR = rsi
// Calcular _inRange en cada barra para evitar inconsistencias
plFoundPrev = not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight) )
phFoundPrev = not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight) )
inRangeBull = _inRange(plFoundPrev)
inRangeBear = _inRange(phFoundPrev)
if calculateDivergence
//------------------------------------------------------------------------------
// Regular Bullish
// rsi: Higher Low
plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight))
rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and inRangeBull
// Price: Lower Low
lowLBR = low
priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1)
bullCond := priceLL and rsiHL and plFound
//------------------------------------------------------------------------------
// Regular Bearish
// rsi: Lower High
phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight))
rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and inRangeBear
// Price: Higher High
highLBR = high
priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1)
bearCond := priceHH and rsiLH and phFound
// Divergence plots con estilo cyber
plot(
plFound ? rsiLBR : na,
offset = -lookbackRight,
title = "🚀 Cyber Bull Divergence",
linewidth = 3,
color = (bullCond ? bullColor : noneColor),
display = display.pane,
editable = calculateDivergence)
plotshape(
bullCond ? rsiLBR : na,
offset = -lookbackRight,
title = "🚀 Cyber Bull Signal",
text = "🚀 BULL",
style = shape.labelup,
location = location.absolute,
color = bullColor,
textcolor = textColor,
size = size.normal,
display = display.pane,
editable = calculateDivergence)
plot(
phFound ? rsiLBR : na,
offset = -lookbackRight,
title = "🔻 Cyber Bear Divergence",
linewidth = 3,
color = (bearCond ? bearColor : noneColor),
display = display.pane,
editable = calculateDivergence)
plotshape(
bearCond ? rsiLBR : na,
offset = -lookbackRight,
title = "🔻 Cyber Bear Signal",
text = "🔻 BEAR",
style = shape.labeldown,
location = location.absolute,
color = bearColor,
textcolor = textColor,
size = size.normal,
display = display.pane,
editable = calculateDivergence)
// ==================== TABLA DE INFORMACIÓN CYBER ====================
// Calcular ta.change en cada barra para consistencia
rsiChange3 = ta.change(rsi, 3)
if barstate.islast
var table infoTable = table.new(position.top_right, 2, 5,
bgcolor=color.new(darkCyber, 10),
border_width=2,
border_color=neonPrimary,
frame_width=3,
frame_color=neonSecondary)
table.clear(infoTable, 0, 0, 1, 4)
table.cell(infoTable, 0, 0, " ULTRA RSI", bgcolor=neonPrimary, text_color=neonWhite, text_size=size.small)
table.cell(infoTable, 1, 0, " INFO", bgcolor=neonSecondary, text_color=neonWhite, text_size=size.small)
table.cell(infoTable, 0, 1, " VALOR RSI", bgcolor=color.new(darkCyber, 30), text_color=neonPrimary, text_size=size.small)
table.cell(infoTable, 1, 1, str.tostring(math.round(rsi, 2)), bgcolor=color.new(darkCyber, 30), text_color=neonWhite, text_size=size.small)
rsiStatus = rsi >= 70 ? " SOBRENDIDO" : rsi <= 30 ? " SOBRECOMPRADO" : " NEUTRO"
statusColor = rsi >= 70 ? cyberRed : rsi <= 30 ? cyberGreen : neonWhite
table.cell(infoTable, 0, 2, " MOMENTO", bgcolor=color.new(darkCyber, 30), text_color=neonSecondary, text_size=size.small)
table.cell(infoTable, 1, 2, rsiStatus, bgcolor=color.new(darkCyber, 30), text_color=statusColor, text_size=size.small)
if enableMA
table.cell(infoTable, 0, 3, " EMA RSI", bgcolor=color.new(darkCyber, 30), text_color=neonPrimary, text_size=size.small)
table.cell(infoTable, 1, 3, str.tostring(math.round(smoothingMA, 2)), bgcolor=color.new(darkCyber, 30), text_color=neonWhite, text_size=size.small)
momentum = rsiChange3 > 0 ? " SUBINDO" : " CAINDO"
momentumColor = rsiChange3 > 0 ? cyberGreen : cyberRed
table.cell(infoTable, 0, 4, " TENDÊNCIA", bgcolor=color.new(darkCyber, 30), text_color=neonPrimary, text_size=size.small)
table.cell(infoTable, 1, 4, momentum, bgcolor=color.new(darkCyber, 30), text_color=momentumColor, text_size=size.small)
// ==================== ALERTS (CÓDIGO ORIGINAL) ====================
alertcondition(bullCond, title='🚀 Cyber Bullish Divergence', message="🎯 Found a new Cyber Bullish Divergence!")
alertcondition(bearCond, title='🔻 Cyber Bearish Divergence', message='🎯 Found a new Cyber Bearish Divergence!')
Vix_Fix Enhanced MTF [Cometreon]The VIX Fix Enhanced is designed to detect market bottoms and spikes in volatility, helping traders anticipate major reversals with precision. Unlike standard VIX Fix tools, this version allows you to control the standard deviation logic, switch between chart styles, customize visual outputs, and set up advanced alerts — all with no repainting.
🧠 Logic and Calculation
This indicator is based on Larry Williams' VIX Fix and integrates features derived from community requests/advice, such as inverse VIX logic.
It calculates volatility spikes using a customizable standard deviation of the lows and compares it to a moving high to identify potential reversal points.
All moving average logic is based on Cometreon's proprietary library, ensuring accurate and optimized calculations on all 15 moving average types.
🔷 New Features and Improvements
🟩 Custom Visual Styles
Choose how you want your VIX data displayed:
Line
Step Line
Histogram
Area
Column
You can also flip the orientation (bottom-up or top-down), change the source ticker, and tailor the display to match your charting preferences.
🟩 Multi-MA Standard Deviation Calculation
Customize the standard deviation formula by selecting from 15 different moving averages:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
RMA (Smoothed Moving Average)
HMA (Hull Moving Average)
JMA (Jurik Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
LSMA (Least Squares Moving Average)
VWMA (Volume-Weighted Moving Average)
SMMA (Smoothed Moving Average)
KAMA (Kaufman’s Adaptive Moving Average)
ALMA (Arnaud Legoux Moving Average)
FRAMA (Fractal Adaptive Moving Average)
VIDYA (Variable Index Dynamic Average)
This gives you fine control over how volatility is measured and allows tuning the sensitivity for different market conditions.
🟩 Full Control Over Percentile and Deviation Conditions
You can enable or disable lines for standard deviation and percentile conditions, and define whether you want to trigger on over or under levels — adapting the indicator to your exact logic and style.
🟩 Chart Type Selection
You're no longer limited to candlestick charts! Now you can use Vix_Fix with different chart formats, including:
Candlestick
Heikin Ashi
Renko
Kagi
Line Break
Point & Figure
🟩 Multi-Timeframe Compatibility Without Repainting
Use a different timeframe from your chart with confidence. Signals remain stable and do not repaint. Perfect for spotting long-term reversal setups on lower timeframes.
🟩 Alert System Ready
Configure alerts directly from the indicator’s panel when conditions for over/under signals are met. Stay informed without needing to monitor the chart constantly.
🔷 Technical Details and Customizable Inputs
This indicator includes full control over the logic and appearance:
1️⃣ Length Deviation High - Adjusts the lookback period used to calculate the high deviation level of the VIX logic. Shorter values make it more reactive; longer values smooth out the signal.
2️⃣ Ticker - Choose a different chart type for the calculation, including Heikin Ashi, Renko, Kagi, Line Break, and Point & Figure.
3️⃣ Style VIX - Change the visual style (Line, Histogram, Column, etc.), adjust line width, and optionally invert the display (bottom-to-top).
📌 Fill zones for deviation and percentile are active only in Line and Step Line modes
4️⃣ Use Standard Deviation Up / Down - Enable the overbought and oversold zone logic based on upper and lower standard deviation bands.
5️⃣ Different Type MA (for StdDev) - Choose from 15 different moving averages to define the calculation method for standard deviation (SMA, EMA, HMA, JMA, etc.), with dedicated parameters like Phase, Sigma, and Offset for optimized responsiveness.
6️⃣ BB Length & Multiplier - Adjust the period and multiplier for the standard deviation bands, similar to how Bollinger Bands work.
7️⃣ Show StdDev Up / Down Line - Enable or disable the visibility of upper and lower standard deviation boundaries.
8️⃣ Use Percentile & Length High - Activate the percentile-based logic to detect extreme values in historical volatility using a customizable lookback length.
9️⃣ Highest % / Lowest % - Set the high and low percentile thresholds (e.g., 85 for high, 99 for low) that will be used to trigger over/under signals.
🔟 Show High / Low Percentile Line - Toggle the visual display of the percentile boundaries directly on the chart for clearer signal reference.
1️⃣1️⃣ Ticker Settings – Customize parameters for special chart types such as Renko, Heikin Ashi, Kagi, Line Break, and Point & Figure, adjusting reversal, number of lines, ATR length, etc.
1️⃣2️⃣ Timeframe – Enables using SuperTrend on a higher timeframe.
1️⃣3️⃣ Wait for Timeframe Closes -
✅ Enabled – Displays Vix_Fix smoothly with interruptions.
❌ Disabled – Displays Vix_Fix smoothly without interruptions.
☄️ If you find this indicator useful, leave a Boost to support its development!
Every feedback helps to continuously improve the tool, offering an even more effective trading experience. Share your thoughts in the comments! 🚀🔥
Market Map – AK_Trades📌 Market Map – AK_Trades
A real-time context engine designed to enhance your entries, exits, and overall trade confidence.
Built to complement any scalping or breakout strategy — or function as a reliable standalone guide.
🧠 What It Does:
📊 Detects market structure shifts
📍 Draws clean Support/Resistance zones (non-repainting)
🟥 Displays trend background shading + trend label
🚨 Flags breakouts, reversals, and invalidations
📈 Adds a real-time confidence ribbon for quick decision-making
🧭 LEGEND
Element Description
🟩🟥 Background Color Trend direction based on 21/50 EMA (green = uptrend, red = downtrend)
🟥🟩 Dashed Lines Dynamic support (green) and resistance (red) from pivot highs/lows
🔼 BREAKOUT ↑ Triggered only if price breaks key level + 0.25 ATR and volume confirms
🔽 BREAKDOWN ↓ Triggered only on valid breakdown with volume and trend alignment
🟡 Triangle (Up/Down) Reversal Warning – candle closes against current trend & EMAs
❌ Orange X Invalidation Marker – price reversed after breakout within 2 bars
📉 Confidence Strip (Green/Red) Shows strength/weakness of each bar based on trend and EMA proximity
🔤 UPTREND / DOWNTREND Trend label shown top-right of chart
⚠️ Notes:
Use this for bias confirmation, clean visual structure, and exit management.
Best paired with a high-conviction entry signal.
❗Disclaimer:
This script is for educational purposes only. It is not financial advice. Use at your own risk. The author assumes no responsibility for any trading losses incurred.