Волновой анализ
RSI Divergence Scanner by zdmreDivergence is when the price of an asset is moving in the opposite direction of a technical indicator, such as an oscillator, or is moving contrary to other data. Divergence warns that the current price trend may be weakening, and in some cases may lead to the price changing direction.
If the stock is rising and making new highs, ideally the RSI is reaching new highs as well. If the stock is making new highs, but the RSI starts making lower highs, this warns the price uptrend may be weakening. This is negative divergence.
Positive divergence is the opposite situation. Imagine the price of a stock is making new lows while the RSI makes higher lows with each swing in the stock price. Investors may conclude that the lower lows in the stock price are losing their downward momentum and a trend reversal may soon follow.
Divergence is one of the common uses of many technical indicators, primarily the oscillators.
Use it at your own risk
Support and Resistance Multiperiod (Zig Zag Based)Support and Resistance Multiperiod (Zig Zag Based)
What is the indicator?
• The indicator is a multi period (up to 5 lengths) Support and Resistance indicator calculated based on Zig Zag.
Who can use?
Scalpers to Long term investors
What timeframe to use?
• Any timeframe
What are the lines?
• Green lines are Support levels.
• Orange lines are Resistance levels.
How to use?
• Buy Low and Sell High.
• Brighter zones means strong Support or Resistance.
• Weaker zones appear lighter.
• Brighter zones are formed by overlapping of lines from multiple levels of support or resistance.
Indicator Menu
• The indicator can input 5 different Lengths.
• The default settings uses 13, 21, 52, 100 & 200.
• Every option are customizable.
rzigzagLibrary "rzigzag"
Recursive Zigzag Using Matrix allows to create zigzags recursively on multiple levels. After bit of consideration, decided to make this public.
zigzag(length, ohlc, numberOfPivots, offset)
calculates plain zigzag based on input
Parameters:
length : Zigzag Length
ohlc : Array containing ohlc values. Can also contain custom series
numberOfPivots : Number of max pivots to be returned
offset : Offset from current bar. Can be used for calculations based on confirmed bars
Returns:
nextlevel(zigzagmatrix, numberOfPivots)
calculates next level zigzag based on present zigzag coordinates
Parameters:
zigzagmatrix : Matrix containing zigzag pivots, bars, bar time, direction and level
numberOfPivots : Number of max pivots to be returned
Returns: matrix zigzagmatrix
draw(zigzagmatrix, newPivot, doublePivot, lineColor, lineWidth, lineStyle, showLabel, xloc)
draws zigzag based on the zigzagmatrix input
Parameters:
zigzagmatrix : Matrix containing zigzag pivots, bars, bar time, direction and level
newPivot : Flag indicating there is update in the pivots
doublePivot : Flag containing there is double pivot update on same bar
lineColor : Zigzag line color
lineWidth : Zigzag line width
lineStyle : Zigzag line style
showLabel : Flag to indicate display pivot labels
xloc : xloc preference for drawing lines/labels
Returns:
draw(length, ohlc, numberOfPivots, offset, lineColor, lineWidth, lineStyle, showLabel, xloc)
calculates and draws zigzag based on zigzag length and source input
Parameters:
length : Zigzag Length
ohlc : Array containing ohlc values. Can also contain custom series
numberOfPivots : Number of max pivots to be returned
offset : Offset from current bar. Can be used for calculations based on confirmed bars
lineColor : Zigzag line color
lineWidth : Zigzag line width
lineStyle : Zigzag line style
showLabel : Flag to indicate display pivot labels
xloc : xloc preference for drawing lines/labels
Returns:
drawfresh(zigzagmatrix, zigzaglines, zigzaglabels, lineColor, lineWidth, lineStyle, showLabel, xloc)
draws fresh zigzag for all pivots in the input matrix.
Parameters:
zigzagmatrix : Matrix containing zigzag pivots, bars, bar time, direction and level
zigzaglines : array to which all newly created lines will be added
zigzaglabels : array to which all newly created lables will be added
lineColor : Zigzag line color
lineWidth : Zigzag line width
lineStyle : Zigzag line style
showLabel : Flag to indicate display pivot labels
xloc : xloc preference for drawing lines/labels
Returns:
Cipher B divergencies for Crypto (Finandy support)Hello Traders!
In times of high volatility, it is important to follow a market-neutral strategy to protect your hard-earned assets. The simple script employs common buy/sell and/or divergencies signals from the VuManChu Cipher B indicator with fixed stop losses and takes profits. The signals are filtered by a local trend of a coin of interest and the global trend of Bitcoin. These trends-filtered signals demonstrated better performance on most of the back- and forward- tests for USDT cryptocurrency futures. The strategy is based on my real experience, it's a diamond I want to share with you.
In terms of visualization if the background is red and the price is below the yellow line then only a short position can be opened. Conversely, if the price is above the yellow line AND the background is green only a long position can be opened.
Inputs from VuManChu you can find on the top. Frankly, I do not know how they can help you to improve the performance of the strategy. My inputs of the script you can find in "Trend Settings" and "TP/SL Settings" at the bottom.
The checkbox "Only divergencies" lets to broadcast only more reliable buy/sell signals for a cost of rare deals.
The checkbox "Cancel all positions if price crosses local sma?" makes additional trailing stop loss. Usually, this function increases the win rate by "smoothing" the risk/reward ratio, as a usual stop loss does.
You can tune SL/TP based on backtesting.
To connect the script to Finandy just edit "name" and "secret" to connect your webhook (see the bottom of the script).
The rule of thumb for the strategy is "only divergencies" - ON, high reward/risk (TP/SL) ratio, 5 min timeframe on chart help with performance.
Finally, I am looking forward to feedback from you. If you have some cool features for my script in your mind, do not hesitate to leave them in the comments.
Good luck!
.236 FIB Extension ToolThis is a simple FIB extension tool that pulls from the start of a wave to the end of the wave. It extends FIB levels beyond the first wave making the assumption that the first wave was between 0.0 and .236 FIB levels. This often works as support and resistance in a multi-wave move. I see the price get to .65 or .786 often after clearing the initial .236 level. This works on any timeframe.
Volume Profile, Pivot Anchored by DGTVolume Profile (also known as Price by Volume ) is an charting study that displays trading activity over a specified time period at specific price levels. It is plotted as a horizontal histogram on the finacial isntrumnet's chart that highlights the trader's interest at specific price levels. Specified time period with Pivots Anchored Volume Profile is determined by the Pivot Levels, where the Pivot Points High Low indicator is used and presented with this Custom indicator
Finally, Volume Weighted Colored Bars indicator is presneted with the study
Different perspective of Volume Profile applications;
Anchored to Session, Week, Month etc : Anchored-Volume-Profile
Custom Range, Interactive : Volume-Profile-Custom-Range
Fixed Range with Volume Indicator : Volume-Profile-Fixed-Range
Combined with Support and Resistance Indicator : Price-Action-Support-Resistance and Volume-Profile
Combined with Supply and Demand Zones, Interactive : Supply-Demand-and-Equilibrium-Zones
Disclaimer : Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
MACD Volume S2 By Gammaprod>> How to use this indicator :
1. Set your teadingview theme to dark theme.
2. My indicator is valid for forex, stock and but more valid for crypto.
3. Use three timeframe for more validation (choose between those, that fit to your trading style) :
- Timeframe 1m, 5m, and 15m for Scalping
- Timeframe 30m, 1h and 4h for Intraday
- Timeframe 4h, 1D and 1W for Swing Trading
4 . Always use THREE INDICATORS FROM GAMMAPROD, those three indicators is back to back each other, by the way, I only made those three indicators only (for now) :
- Trendlines Boll Ichi Crypto by Gammaprod
- Stoch RSI Divs Zone Crypto by Gammaprod
- MACD Volume Crypto by Gammaprod
>> How to setting :
1. Trendlines Boll Ichi Crypto by Gammaprod
A. Support and Resistence
- Well if you familiar with this indicator you can add it, but recommended for Timeframe 30m or more
B. Trendlines Primary or Trendlines Secondary
- Timeframe 1m you DON'T NEED Trendlines Primary or Trendlines Secondary
- Timeframe 5m you DON'T NEED Trendlines Secondary, but you CAN ADD Trendlines Primary if you fell it helpful (for me, it is helpful to find where the candles start or the end trend or a consolidation or where the candles will surpass a resistance or a support).
- Timeframe 15m you DON'T NEED Trendlines Secondary, DEFENITELY add Trendlines Primary it will help to find where the candles stop or a consolidation or where the candles will surpass a resistance or a support).
- Timeframe 30m or more, DEFENITELY NEED BOTH Trendlines Primary and Secondary Trendlines, it will help to find where the candle stop or consolidation or where the candle will surpass a resistance or support).
C. Bolinger, Ichimoku Cloud and Lagging Span
- Please DON'T CHANGE IT at all, it's really helpful to know when and where to make an entry decesion or a trend or a consolidation, if you don't understand how to read it, you better to learn it first (on "how to read" section and "How to OPEN position" the section below)
2. Stoch RSI Divs Zone Crypto by Gammaprod (DON'T CHANGE IT)
3. MACD Volume Crypto by Gammaprod (DON'T CHANGE IT)
>> How to read :
1. Sell or Buy Priority :
A. Buy Priority
- Color background on macd and stoch rsi is pink or purple sell is the priority, (if you're not sure to buy, just wait until the best moment to sell)
B. Buy Priority
- Color background on macd and stoch rsi Teal or light green buy is the priority, (if you're not sure to sell, just wait until the best moment to buy)
C. Indecision / Golden Moment
- Color background on stoch rsi yellow is indecision / golden moment of reversal pattern (wait until it formed background only on Stoch RSI), please becareful at this moment.
2. Trend / Consolidation :
A. BULLISH trend
- When Stoch RSI and MACD have teal or light green background that's means BULLISH trend, better to confirm by the candle is above green cloud and lagging span (red line) is also above the candle.
B. BEARISH trend
- When Stoch RSI and MACD have the Pink or purple background that's means BEARISH trend, better to confirm by the candle is above purple cloud and lagging span (red line) is also below the candle.
C. CONSOLIDATION
- When Stoch RSI have the mix background that's means CONSOLIDATION, better to confirm by the candle is in or near to green / purple cloud and lagging span (red line) is also on the candle.
3. Special Mark
A. Ideal Bullish :
- Near line 20 and green / teal background = When Stoch RSI have the char R / H on lime color label, that's means divergence or hidden divergence for buy position, if you not see this label that's means just a standard confirmation for buy
B. Not an Ideal Bullish :
- Near line 80 and green / teal background = if this happens make sure you know what happen, it could be a false signal or bullish continual pattern
C. Ideal Bearish :
- Near line 80 and pink / purple background = When Stoch RSI have the char R / H on lime color label, that's means divergence or hidden divergence for buy position, if you not see this label that's means just a standard confirmation for sell position.
D. Not an Ideal Bearish:
- Near line 20 and pink / purple background = if this happens make sure you know what happen, it could be a false signal or bearish continual pattern
E. The Beginning of Reversal (from BEARISH to BULLISH) :
- When Stoch RSI line shaping GREEN position is near 20.
- MACD lines still PINK, position lines is UNDER the HISTOGRAM, but the HISTOGRAM start to SHAPE FALL PINK (light pink) and the BACKGROUND still PINK / PURPLE.
- Position CANDLES NEAR BLUE line, NEAR PURPLE CLOUD, and lagging span (red line) STILL ON the area candle. (it used to be confirmed with the golden moment).
F. The Beginning of Reversal (from BULLISH to BEARISH) :
- When Stoch RSI line shaping PINK position is near 80.
- MACD lines still GREEN, position lines is ABOVE the HISTOGRAM, but the HISTOGRAM start to SHAPE FALL GREEN (light green) and the BACKGROUND still TEAL / GREEN.
- Position CANDLES NEAR WHITE line, NEAR TEAL CLOUD, and lagging span (red line) STILL ON the area candle. (it used to be confirmed with the golden moment).
G. False Signals, or It could be a Golden Moment (better to see it on TF 15 or bigger):
- Near line 20 or 80 and yellow background = When Stoch RSI have the char R / H on color label, that's means divergence or hidden divergence for buy / sell position, if you not see this label that's means just a standard confirmation for buy / sell depends on where the Stoch RSI line if near 20 that's means buy, near 80 means sell
>> How to OPEN position:
A. Bullish
1. Trendlines Boll Ichi Crypto by Gammaprod
- The candles above the green cloud.
- Lagging span (red line) above the candles.
- then open buy near yellow line (the first option) / blue line (the second option) (always confirm the position with two other indicators below).
2. Stoch RSI Divs Zone Crypto by Gammaprod
- Teal or Green background.
- The lines is shaping green.
- Better if on the bottom (at a range 20).
3. MACD Volume Crypto by Gammaprod
- Teal or Green background.
- The lines is shaped or shaping green.
- Better if at the green histogram.
B. Bearish
1. Trendlines Boll Ichi Crypto by Gammaprod
- The candles below the purple cloud.
- Lagging span (red line) below the candles.
- then open buy near yellow line (the first option) / white line (the second option) (always confirm the position with two other indicators below).
2. Stoch RSI Divs Zone Crypto by Gammaprod
- Pink or purple background.
- The lines are shaping pink.
- Better if the line on the top (at a range 80).
3. MACD Volume Crypto by Gammaprod
- Pink or purple background.
- The lines are shaped or shaping green.
- Better if at the pink histogram.
C. Consolidation
1. Trendlines Boll Ichi Crypto by Gammaprod
- The candles on the cloud (green or purple).
- Lagging span (red line) on the candles.
- then open buy near the white or blue line (always confirm the position with two other indicators below).
2. Stoch RSI Divs Zone Crypto by Gammaprod
- Mix background specially on a timeframe 15m or more.
- The line move fast up and down.
- Better if on the bottom or the top of the lines (at a range 20 or 80).
3. MACD Volume Crypto by Gammaprod
- Changing the background.
- The line is near the middle line.
- Have small Histogram.
>> The secret ingridient is comparing the timeframe :
The example scalping (Timeframe 1m, 5m and 15m)
- TF 1m is for making an open position.
- TF 5m is for making a judgement of the trend market.
- TF 15m is to confirm that judgement from TF 5m, be careful if it not similar then it used to be a consolidation or the beginning of the reversal.
There's a lot a way to open the position than above information that i gave it to you, but consider there are a limit char on this column, I hope it will help your trading and make a more profit on it.
MME MTF CCIHi All,
This is a Dual/Multi TF CCI script to be used for Intraday as well as positional system.
Intraday:
Chart TF : 5 mins
Underlying Trend CCI : CCI 34 of 30 mins TF
Immediate Trend CCI : CCI 34 of 5 mins TF
Execution CCI : CCI 8 of 5 mins TF
The CCIs are used for entry, exit during momentum breakouts or pullbacks.
General Long Setup:
Buy at CCI-8 5m below -135, when CCI-34 30 mins is > +100. Long exit when CCI 34 5 min < -60
General Short Setup:
Sell at CCI-8 5m above -135, when CCI-34 30 mins is < -100. Short exit when CCI 34 5 min > +60
The same CCI settings can be used for positional or investment per appropriate timeframes one is interested to trade, along with HTF above in ratio 1:5.
Hope its helpful!
wnG - Spikes IdentifierThis indicator, based on the ATR, allows you to identify the potential reversal on price and helps you identify the Support and Resistance.
When the price moves far away from the multiple moving average, the background color changes :
- Red for Short potential entry
- Green for Long potential entry
There are 2 ways to use this script :
- Conservative : Use it in your trading system to Take Profit ==> when the background turns red, close LONG position (and green = close short).
- Aggressive : As soon as the background turns red, enter SHORT (and green = long).
For aggressive use, I recommand you to couple this script with an oscillator to confirm the signals (RSI stochastic for example).
You can customize the sensibility with 4 levels :
- low probability of reversal
- medium probability of reversal
- high probability of reversal
- very high probability of reversal
PS : the "High" and "Very High" probability setup are the only one I'm using in my trading systems.
BTC WaveTrend R:R=1:1.5In this strategy, I used Wavetrend indicator (Lazy Bear).
It is very simple and easy to understanding: Long when Wavetrend1 crossover Wavetrend2 and they are less than a limit value (not buy when price overbought). Stoploss at lowest 3 bar previous. R:R = 1:1,5.
About other shortterm strategies for crypto market, you can view my published strategies.
ICT index correlated market indicatorThis is not a real indicator, but is what ICT use as indicator for trading futures indexes.
it can only display SP500, Dow Jon Industrial Average and Nasdaq, if someone want other market can copy the code and change some parameters (is more easy than it can appear)
A good idea is using this other market on backtest to confirm the divergence idea of Linda Raske, than use it to spot quickly in real market.
Another idea published by ICT is the "hidden entry pattern", the entry signal appear in ES or YM but I trade NQ for volatility, so I use the trigger of SP500 or Dow to enter in Nasdaq.
Rember always don't trust anybody, do your own backtest and research!
Money Maykah -- DC-ATR , Stochastic RSI signals v.1-89 --This indicator shows the Stochastic RSI (SSRI) for overbought when the Donchian Channel (DC) is in the upper zone (between basis and upper), and SSRI for oversold when the DC is in the lower zone.
The DC upper and lower have a percentage of the ATR added I call this DC-ATR.
There can be numerous ways to form a strategy based on this. For a bull trend, an ABCD could be traced by A/C = blue signals and B/D = red signals.
Let me know what you think or if there is something wrong with the code. It's probably not the cleanest or more efficient but I am not a pro. If you find a good way to make a strategy from the indicator let me know.
Hope you enjoy!
-Casey R
Adaptive Average Vortex Index [lastguru]As a longtime fan of ADX, looking at Vortex Indicator I often wondered, where is the third line. I have rarely seen that anybody is calculating it. So, here it is: Average Vortex Index - an ADX calculated from Vortex Indicator. I interpret it similarly to the ADX indicator: higher values show stronger trend. If you discover other interpretation or have suggestions, comments are welcome.
Both VI+ and VI- lines are also drawn. As I use adaptive length calculation in my other scripts (based on the libraries I've developed and published), I have also included the possibility to have an adaptive length here, so if you hate the idea of calculating ADX from VI, you can disable that line and just look at the adaptive Vortex Indicator.
Note that as with all my oscillators, all the lines here are renormalized to -1..1 range unlike the original Vortex Indicator computation. To do that for VI+ and VI- lines, I subtract 1 from their values. It does not change the shape or the amplitude of the lines.
Adaptation algorithms are roughly subdivided in two categories: classic Length Adaptations and Cycle Estimators (they are also implemented in separate libraries), all are selected in Adaptation dropdown. Length Adaptation used in the Adaptive Moving Averages and the Adaptive Oscillators try to follow price movements and accelerate/decelerate accordingly (usually quite rapidly with a huge range). Cycle Estimators, on the other hand, try to measure the cycle period of the current market, which does not reflect price movement or the rate of change (the rate of change may also differ depending on the cycle phase, but the cycle period itself usually changes slowly).
VIDYA - based on VIDYA algorithm. The period oscillates from the Lower Bound up (slow)
VIDYA-RS - based on Vitali Apirine's modification of VIDYA algorithm (he calls it Relative Strength Moving Average). The period oscillates from the Upper Bound down (fast)
Kaufman Efficiency Scaling - based on Efficiency Ratio calculation originally used in KAMA
Fractal Adaptation - based on FRAMA by John F. Ehlers
MESA MAMA Cycle - based on MESA Adaptive Moving Average by John F. Ehlers
Pearson Autocorrelation* - based on Pearson Autocorrelation Periodogram by John F. Ehlers
DFT Cycle* - based on Discrete Fourier Transform Spectrum estimator by John F. Ehlers
Phase Accumulation* - based on Dominant Cycle from Phase Accumulation by John F. Ehlers
Length Adaptation usually take two parameters: Bound From (lower bound) and To (upper bound). These are the limits for Adaptation values. Note that the Cycle Estimators marked with asterisks(*) are very computationally intensive, so the bounds should not be set much higher than 50, otherwise you may receive a timeout error (also, it does not seem to be a useful thing to do, but you may correct me if I'm wrong).
The Cycle Estimators marked with asterisks(*) also have 3 checkboxes: HP (Highpass Filter), SS (Super Smoother) and HW (Hann Window). These enable or disable their internal prefilters, which are recommended by their author - John F. Ehlers . I do not know, which combination works best, so you can experiment.
If no Adaptation is selected ( None option), you can set Length directly. If an Adaptation is selected, then Cycle multiplier can be set.
The oscillator also has the option to configure the internal smoothing function with Window setting. By default, RMA is used (like in ADX calculation). Fast Default option is using half the length for smoothing. Triangle , Hamming and Hann Window algorithms are some better smoothers suggested by John F. Ehlers.
After the oscillator a Moving Average can be applied. The following Moving Averages are included: SMA , RMA, EMA , HMA , VWMA , 2-pole Super Smoother, 3-pole Super Smoother, Filt11, Triangle Window, Hamming Window, Hann Window, Lowpass, DSSS.
Postfilter options are applied last:
Stochastic - Stochastic
Super Smooth Stochastic - Super Smooth Stochastic (part of MESA Stochastic ) by John F. Ehlers
Inverse Fisher Transform - Inverse Fisher Transform
Noise Elimination Technology - a simplified Kendall correlation algorithm "Noise Elimination Technology" by John F. Ehlers
Momentum - momentum (derivative)
Except for Inverse Fisher Transform , all Postfilter algorithms can have Length parameter. If it is not specified (set to 0), then the calculated Slow MA Length is used. If Filter/MA Length is less than 2 or Postfilter Length is less than 1, they are calculated as a multiplier of the calculated oscillator length.
More information on the algorithms is given in the code for the libraries used. I am also very grateful to other TradingView community members (they are also mentioned in the library code) without whom this script would not have been possible.
Head-on-CorrelationThis is a simple wrapper script to generate 40 different series of information along an increasing candle length. It plots the last data point, and repaints on each new candle, allowing one to see variations within series' values as the timeframe increases. This POV is looking not across a depth of field, but the wave as if it were moving towards you. The goal ultimately is to find correlations on various timeframes in the y-plane, and the z-plane, as well as patterns of variation preceding price action.
As a wrapper, the switch case and engine can and should be modified to suit your indicator of choice. Additionally, It is possible to string these indicators together to perform multiple calculations and output a single series ultimately.
If watched on smaller timeframes (eg 1s) or bar replay, it is an entertaining addition to the chart.
Adaptive MA Difference constructor [lastguru]A complimentary indicator to my Adaptive MA constructor. It calculates the difference between the two MA lines (inspired by the Moving Average Difference (MAD) indicator by John F. Ehlers). You can then further smooth the resulting curve. The parameters and options are explained here:
The difference is normalized by dividing the difference by twice its Root mean square (RMS) over Slow MA length. Inverse Fisher Transform is then used to force the -1..1 range.
Same Postfilter options are provided as in my Adaptive Oscillator constructor:
Stochastic - Stochastic
Super Smooth Stochastic - Super Smooth Stochastic (part of MESA Stochastic ) by John F. Ehlers
Inverse Fisher Transform - Inverse Fisher Transform
Noise Elimination Technology - a simplified Kendall correlation algorithm "Noise Elimination Technology" by John F. Ehlers
Momentum - momentum (derivative)
Except for Inverse Fisher Transform, all Postfilter algorithms can have Length parameter. If it is not specified (set to 0), then the calculated Slow MA Length is used.
Adaptive Oscillator constructor [lastguru]Adaptive Oscillators use the same principle as Adaptive Moving Averages. This is an experiment to separate length generation from oscillators, offering multiple alternatives to be combined. Some of the combinations are widely known, some are not. Note that all Oscillators here are normalized to -1..1 range. This indicator is based on my previously published public libraries and also serve as a usage demonstration for them. I will try to expand the collection (suggestions are welcome), however it is not meant as an encyclopaedic resource , so you are encouraged to experiment yourself: by looking on the source code of this indicator, I am sure you will see how trivial it is to use the provided libraries and expand them with your own ideas and combinations. I give no recommendation on what settings to use, but if you find some useful setting, combination or application ideas (or bugs in my code), I would be happy to read about them in the comments section.
The indicator works in three stages: Prefiltering, Length Adaptation and Oscillators.
Prefiltering is a fast smoothing to get rid of high-frequency (2, 3 or 4 bar) noise.
Adaptation algorithms are roughly subdivided in two categories: classic Length Adaptations and Cycle Estimators (they are also implemented in separate libraries), all are selected in Adaptation dropdown. Length Adaptation used in the Adaptive Moving Averages and the Adaptive Oscillators try to follow price movements and accelerate/decelerate accordingly (usually quite rapidly with a huge range). Cycle Estimators, on the other hand, try to measure the cycle period of the current market, which does not reflect price movement or the rate of change (the rate of change may also differ depending on the cycle phase, but the cycle period itself usually changes slowly).
Chande (Price) - based on Chande's Dynamic Momentum Index (CDMI or DYMOI), which is dynamic RSI with this length
Chande (Volume) - a variant of Chande's algorithm, where volume is used instead of price
VIDYA - based on VIDYA algorithm. The period oscillates from the Lower Bound up (slow)
VIDYA-RS - based on Vitali Apirine's modification of VIDYA algorithm (he calls it Relative Strength Moving Average). The period oscillates from the Upper Bound down (fast)
Kaufman Efficiency Scaling - based on Efficiency Ratio calculation originally used in KAMA
Deviation Scaling - based on DSSS by John F. Ehlers
Median Average - based on Median Average Adaptive Filter by John F. Ehlers
Fractal Adaptation - based on FRAMA by John F. Ehlers
MESA MAMA Alpha - based on MESA Adaptive Moving Average by John F. Ehlers
MESA MAMA Cycle - based on MESA Adaptive Moving Average by John F. Ehlers , but unlike Alpha calculation, this adaptation estimates cycle period
Pearson Autocorrelation* - based on Pearson Autocorrelation Periodogram by John F. Ehlers
DFT Cycle* - based on Discrete Fourier Transform Spectrum estimator by John F. Ehlers
Phase Accumulation* - based on Dominant Cycle from Phase Accumulation by John F. Ehlers
Length Adaptation usually take two parameters: Bound From (lower bound) and To (upper bound). These are the limits for Adaptation values. Note that the Cycle Estimators marked with asterisks(*) are very computationally intensive, so the bounds should not be set much higher than 50, otherwise you may receive a timeout error (also, it does not seem to be a useful thing to do, but you may correct me if I'm wrong).
The Cycle Estimators marked with asterisks(*) also have 3 checkboxes: HP (Highpass Filter), SS (Super Smoother) and HW (Hann Window). These enable or disable their internal prefilters, which are recommended by their author - John F. Ehlers . I do not know, which combination works best, so you can experiment.
Chande's Adaptations also have 3 additional parameters: SD Length (lookback length of Standard deviation), Smooth (smoothing length of Standard deviation) and Power ( exponent of the length adaptation - lower is smaller variation). These are internal tweaks for the calculation.
Oscillators section offer you a choice of Oscillator algorithms:
Stochastic - Stochastic
Super Smooth Stochastic - Super Smooth Stochastic (part of MESA Stochastic) by John F. Ehlers
CMO - Chande Momentum Oscillator
RSI - Relative Strength Index
Volume-scaled RSI - my own version of RSI. It scales price movements by the proportion of RMS of volume
Momentum RSI - RSI of price momentum
Rocket RSI - inspired by RocketRSI by John F. Ehlers (not an exact implementation)
MFI - Money Flow Index
LRSI - Laguerre RSI by John F. Ehlers
LRSI with Fractal Energy - a combo oscillator that uses Fractal Energy to tune LRSI gamma
Fractal Energy - Fractal Energy or Choppiness Index by E. W. Dreiss
Efficiency ratio - based on Kaufman Adaptive Moving Average calculation
DMI - Directional Movement Index (only ADX is drawn)
Fast DMI - same as DMI, but without secondary smoothing
If no Adaptation is selected (None option), you can set Length directly. If an Adaptation is selected, then Cycle multiplier can be set.
Before an Oscillator, a High Pass filter may be executed to remove cyclic components longer than the provided Highpass Length (no High Pass filter, if Highpass Length = 0). Both before and after the Oscillator a Moving Average can be applied. The following Moving Averages are included: SMA, RMA, EMA, HMA , VWMA, 2-pole Super Smoother, 3-pole Super Smoother, Filt11, Triangle Window, Hamming Window, Hann Window, Lowpass, DSSS. For more details on these Moving Averages, you can check my other Adaptive Constructor indicator:
The Oscillator output may be renormalized and postprocessed with the following Normalization algorithms:
Stochastic - Stochastic
Super Smooth Stochastic - Super Smooth Stochastic (part of MESA Stochastic) by John F. Ehlers
Inverse Fisher Transform - Inverse Fisher Transform
Noise Elimination Technology - a simplified Kendall correlation algorithm "Noise Elimination Technology" by John F. Ehlers
Except for Inverse Fisher Transform, all Normalization algorithms can have Length parameter. If it is not specified (set to 0), then the calculated Oscillator length is used.
More information on the algorithms is given in the code for the libraries used. I am also very grateful to other TradingView community members (they are also mentioned in the library code) without whom this script would not have been possible.
Adaptive MA constructor [lastguru]Adaptive Moving Averages are nothing new, however most of them use EMA as their MA of choice once the preferred smoothing length is determined. I have decided to make an experiment and separate length generation from smoothing, offering multiple alternatives to be combined. Some of the combinations are widely known, some are not. This indicator is based on my previously published public libraries and also serve as a usage demonstration for them. I will try to expand the collection (suggestions are welcome), however it is not meant as an encyclopaedic resource, so you are encouraged to experiment yourself: by looking on the source code of this indicator, I am sure you will see how trivial it is to use the provided libraries and expand them with your own ideas and combinations. I give no recommendation on what settings to use, but if you find some useful setting, combination or application ideas (or bugs in my code), I would be happy to read about them in the comments section.
The indicator works in three stages: Prefiltering, Length Adaptation and Moving Averages.
Prefiltering is a fast smoothing to get rid of high-frequency (2, 3 or 4 bar) noise.
Adaptation algorithms are roughly subdivided in two categories: classic Length Adaptations and Cycle Estimators (they are also implemented in separate libraries), all are selected in Adaptation dropdown. Length Adaptation used in the Adaptive Moving Averages and the Adaptive Oscillators try to follow price movements and accelerate/decelerate accordingly (usually quite rapidly with a huge range). Cycle Estimators, on the other hand, try to measure the cycle period of the current market, which does not reflect price movement or the rate of change (the rate of change may also differ depending on the cycle phase, but the cycle period itself usually changes slowly).
Chande (Price) - based on Chande's Dynamic Momentum Index (CDMI or DYMOI), which is dynamic RSI with this length
Chande (Volume) - a variant of Chande's algorithm, where volume is used instead of price
VIDYA - based on VIDYA algorithm. The period oscillates from the Lower Bound up (slow)
VIDYA-RS - based on Vitali Apirine's modification of VIDYA algorithm (he calls it Relative Strength Moving Average). The period oscillates from the Upper Bound down (fast)
Kaufman Efficiency Scaling - based on Efficiency Ratio calculation originally used in KAMA
Deviation Scaling - based on DSSS by John F. Ehlers
Median Average - based on Median Average Adaptive Filter by John F. Ehlers
Fractal Adaptation - based on FRAMA by John F. Ehlers
MESA MAMA Alpha - based on MESA Adaptive Moving Average by John F. Ehlers
MESA MAMA Cycle - based on MESA Adaptive Moving Average by John F. Ehlers, but unlike Alpha calculation, this adaptation estimates cycle period
Pearson Autocorrelation* - based on Pearson Autocorrelation Periodogram by John F. Ehlers
DFT Cycle* - based on Discrete Fourier Transform Spectrum estimator by John F. Ehlers
Phase Accumulation* - based on Dominant Cycle from Phase Accumulation by John F. Ehlers
Length Adaptation usually take two parameters: Bound From (lower bound) and To (upper bound). These are the limits for Adaptation values. Note that the Cycle Estimators marked with asterisks(*) are very computationally intensive, so the bounds should not be set much higher than 50, otherwise you may receive a timeout error (also, it does not seem to be a useful thing to do, but you may correct me if I'm wrong).
The Cycle Estimators marked with asterisks(*) also have 3 checkboxes: HP (Highpass Filter), SS (Super Smoother) and HW (Hann Window). These enable or disable their internal prefilters, which are recommended by their author - John F. Ehlers. I do not know, which combination works best, so you can experiment.
Chande's Adaptations also have 3 additional parameters: SD Length (lookback length of Standard deviation), Smooth (smoothing length of Standard deviation) and Power (exponent of the length adaptation - lower is smaller variation). These are internal tweaks for the calculation.
Length Adaptaton section offer you a choice of Moving Average algorithms. Most of the Adaptations are originally used with EMA, so this is a good starting point for exploration.
SMA - Simple Moving Average
RMA - Running Moving Average
EMA - Exponential Moving Average
HMA - Hull Moving Average
VWMA - Volume Weighted Moving Average
2-pole Super Smoother - 2-pole Super Smoother by John F. Ehlers
3-pole Super Smoother - 3-pole Super Smoother by John F. Ehlers
Filt11 -a variant of 2-pole Super Smoother with error averaging for zero-lag response by John F. Ehlers
Triangle Window - Triangle Window Filter by John F. Ehlers
Hamming Window - Hamming Window Filter by John F. Ehlers
Hann Window - Hann Window Filter by John F. Ehlers
Lowpass - removes cyclic components shorter than length (Price - Highpass)
DSSS - Derivation Scaled Super Smoother by John F. Ehlers
There are two Moving Averages that are drown on the chart, so length for both needs to be selected. If no Adaptation is selected ( None option), you can set Fast Length and Slow Length directly. If an Adaptation is selected, then Cycle multiplier can be selected for Fast and Slow MA.
More information on the algorithms is given in the code for the libraries used. I am also very grateful to other TradingView community members (they are also mentioned in the library code) without whom this script would not have been possible.
BULB indicatorIt gives very accurate buy and sell signal. These signals are mainly based on RSI. RSI > 50 indicator - Good Buy. RSI < 30 indicator - Strong Sell
Lev Umanov Sin EquationThis indicator is taken from the calculations made by Lev Umanov. It predicts the peaks of Bitcoin. The indicator works with most BTCUSD pairings.
PivotsLibrary "Pivots"
This Library focuses in functions related to pivot highs and lows and some of their applications (i.e. divergences, zigzag, harmonics, support and resistance...)
pivots(srcH, srcL, length) Delivers series of pivot highs, lows and zigzag.
Parameters:
srcH : Source series to look for pivot highs. Stricter applications might source from 'close' prices. Oscillators are also another possible source to look for pivot highs and lows. By default 'high'
srcL : Source series to look for pivot lows. By default 'low'
length : This value represents the minimum number of candles between pivots. The lower the number, the more detailed the pivot profile. The higher the number, the more relevant the pivots. By default 10
Returns:
zigzagArray(pivotHigh, pivotLow) Delivers a Zigzag series based on alternating pivots. Ocasionally this line could paint a few consecutive lows or highs without alternating. That happens because it's finding a few consecutive Higher Highs or Lower Lows. If to use lines entities instead of series, that could be easily avoided. But in this one, I'm more interested outputting series rather than painting/deleting line entities.
Parameters:
pivotHigh : Pivot high series
pivotLow : Pivot low series
Returns:
zigzagLine(srcH, srcL, colorLine, widthLine) Delivers a Zigzag based on line entities.
Parameters:
srcH : Source series to look for pivot highs. Stricter applications might source from 'close' prices. Oscillators are also another possible source to look for pivot highs and lows. By default 'high'
srcL : Source series to look for pivot lows. By default 'low'
colorLine : Color of the Zigzag Line. By default Fuchsia
widthLine : Width of the Zigzag Line. By default 4
Returns: Zigzag printed on screen
divergence(h2, l2, h1, l1, length) Calculates divergences between 2 series
Parameters:
h2 : Series in which to locate divs: Highs
l2 : Series in which to locate divs: Lows
h1 : Series in which to locate pivots: Highs. By default high
l1 : Series in which to locate pivots: Lows. By default low
length : Length used to calculate Pivots: By default 10
Returns:
Zig Zag(auto Horizon lines)A guy who automatically draws a horizon from the top of the zigzag
*Gray horizon may be repainted
The horizon of the characteristic price in the past reacts well, so it is used for contrarian
ジグザクの頂点から、自動で水平線を引く奴です
※灰色の水平線はリペイントする可能性があります
過去の特徴的な価格の水平線はよく反応するので、逆張りするとかが用途です
SARWThis indicator aims to indicate the correlation between two assets(Current and Base), it does NOT show entries or help your chart analysis directly.
The main features of this Correlation indicator is :
Correlation type : Direct Correlation | Inverse Correlation | No Correlation
Correlation Percentage : as its name, it calculate the Correlation Percentage between Current and base assets if exist
How to use: Chose the base asset (default: bitcoin) and open any other chart to be the other -Current- asset
inputs:
Max Lookback length : how many candles will be included in the scan.
Swing intensity : How many candle should be counted to confirm a Swing, If you are confused leave it as its default.
Base Asset : The base asset to calculate the current asset correlation with.
Important Notes:
As I promised, the previous correlation indicator used each candle alone, while this one uses waves and swings.
The Current asset has more power over the base, because it compares the Base to current, but not the opposite((E.g. if you want to check if some coin have correlation with bitcoin, it's better to use bitcoin and put the other coin name in the input field)).
For any notes on the indicator to be edited, or for another indicator ideas please comment.
