TTC2022NVDA15mThis is version 1.0 "TTC2022NVDA15m" Strategy. This has only been back tested for the ticker "NVDA" on the 15m ext hour chart for the year 2022. The reason I isolated this strategy to 2022 is because NVDA's chart patterns have changed from the previous 2 years. So, I wanted to develop an indicator-based strategy that was consistent with current market conditions. I will adjust any variables that make this TTC2022NVDA15m Strategy more accurate in the future as more 2022 data comes out.
It's based on my TTC: Triangular Trend Channel script that dynamically creates a trend channel on the move. It uses open, high, low, close, simple moving average inputs for its plot lines and ema11 for calculation purposes. The default trend channel line settings are based off sma128.
Default color coded in top to bottom price order:
green = top
orange
blue
white = center (128sma)
purple
yellow
red = bottom
Please excuse me if this appears scrunched up. I had to set my browser to 50% size to fit in the YTD 15 minute ext chart.
• Remember * This has only been back tested for the ticker "NVDA" on the 15m ext chart for the year 2022 to date. *
Wave Analysis
NEoWave Cash Data Pro by ArshiaRahimiNEoWave Cash Data Pro by ArshiaRahimi (Cash Data Display Indicator)
By using this indicator, you can see cash data in the Trading View Charts. Cash Data is NEoWave approach data and is used for wave counting of this type. Analysts of Elliot Wave approach can also benefit from this data.
In Cash Data, the state of high and low of the candles or in other words their chronology will be determined and the path of price movement will be indicated clearly.
You will have no limit to view cash data using this indicator and you will be able to view the cash data of any part of the chart you would like with a 100 percent precision. By default, Indicator shows MonoWave 500 in the ending part of the chart but in order to view the cash data of other parts, you only need to activate the option “ Custom Start” and by adjusting the date of drawing the cash data, you can make the cash data of the part you want to be displayed.
The cash data of each chart is displayed in 20 different timeframes including:
• Annual timeframe
• Monthly, 3month, 6 month timeframe
• weekly, 2 week timeframe
• daily, 2 day, 3 day timeframe
• 6 hour, 12 hour timeframe
• 4 hour, 8 hour timeframe
• 1 hour, 2 hour, 3 hour timeframe
• 5 minute, 10 minute, 15 minute, 30 minute timeframe
Other features are also incorporated in this indicator including:
• determination of cash data thickness
• determination of ascending MonoWaves color
• determination of descending MonoWaves color
• determination of connecting MonoWaves color
• displaying the MonoWaves which might be in question (when high and low occur in a candle)
• determination of the questionable MonoWaves color
• determination of the date and starting time of cash data drawing
• Drawing of the last cash data live and the possibility of determining its drawing delay.
• Displaying time slot separator lines
• Determination of separator lines color and transparency
• Displaying Fade Chart behind cash data
• determination of fade chart candles color and transparency
• displaying information table of cash data in the corner of the chart which include displaying time frame of the cash data and the number of MonoWaves that exist in the chart.
This indicator is designed by Arshia Rahimi of Iran NEoWave Institute. You can be in touch through “ArshiaRahimi” ID.
The Indicator will continuously receive its new updates. after publishing, each update will replace the previous version by trading view.
MaviBeyaz GANN ver.03Hello
* Line Color Red: Downtrend
* Line Color Yellow: Strict Monitoring for trend violation or change
* Line Color Green : Rising trend
* Red Bubble: Start of price bubble formation
* Red Bubbles : Correction expectation increased
* Green Bubble: Price low level
* Green Bubbles: Onset of rise, expectation of reaction
* We have a fixed line on the graphic campus. It can generate signal with color change, which conveys the trend direction. At times such as m15-h1-h4-d1 the numbers listed below can be edited in the settings section. (13, 21) - (34, 55) - (89-144)
* When the candles get too far from our line, they are expected to meet again.
* The line acts as support and resistance according to the current color situation.
* Line support number is shown in the indicator information section in the upper left of the screen.
* May cause spread loss in the horizontal market.
* By blending and thinking with fundamental analysis gives more effective results.
WARNİNG ! :
* Has no financial value or meaning. "No graphics, drawings and explanations on this page are within the scope of investment consultancy.
* The relevant profile is not an investment institution.
* This account does not share buying/selling guiding advice or comments for any asset, it only shares indicators and strategies for the purpose of technical analysis training.
* Since these posts are not a recommendation or comment for buying/selling, it is not recommended to be used in real accounts.
Kind regards...
Jimmy's Dikfat DaytraderThis Day Trading Indicator applies the use of multiple techniques designed to maximize profits and trade success probability while utilizing proprietary mathematical techniques to calculate specific high probability Pivot Points, Break of Structure, Supply and Demand, previous days High and Low, Liquidity Hunts, Dynamic Trend Lines and Fibonacci Discount Zones. The combination of these techniques combined with unique mathematical calculation & variance allow the user to make an informed analysis to take high probability trades by exposing Market Maker discount zones and highlight smart money purchasing.
Pivot Points: A traditional pivot point is described as an individual candle high that is higher than the previous two candles to the left and forward two candles to the right. Likewise a pivot is also an individual candle low that is lower than the previous two candles to the left and forward two candles to the right. In this indicator standard pivots are highlighted as yellow and white candles. Yellow candles are High or Top Pivots; White Candles are Low or Bottom Pivots. The number of pivots checked for either left or right or both can be changed in the settings. Increasing this value will add more pivot points to the chart, decreasing this value will add less. It is recommended to change values left and right with the same number.
Note: In this study, all traditional pivots will be highlighted by yellow or white for the advanced user, but not all pivot markers will highlight all pivots for the purposes of identifying a high probability trade.
Break of Structure: Break of structure occurs when current price drops below or likewise rises above a pivot point. For the purposes of this study, a break of structure tag will appear over a previous pivot tag ONLY when there is a candle close below or above the previous pivot for the purposes of identifying liquidity hunts and high probability trades. As you will note in the example chart, break of structure is used to determine not only trend but high probability trade areas by identifying market structure. Unbroken pivot highs or lows can be used to take trades, with a stop below the low (or above the high) of the unbroken pivot candle. BOS (Break of Structure) Tags will effectively show where market participants do not want to take a trade and be chopped up in a market that is trending only 30% of the time. BOS also gives future indication of where the Market Makers are taking price action. Breaks of structure in a particular direction typically indicate a continuation of price action in that direction. Trade opportunities occur after the pullback in the opposite direction of break of structure. This highlights areas traders can take on the pullback, in the direction of structure breaks, typically on unbroken pivots.
Note: In this study, not all BOS (Break of Structure) markers will highlight all breaks of structure for the purposes of identifying a high probability trade. Some very few examples of structure is not marked as broken to assist in identifying Liquidity Hunts.
Liquidity Hunt: A Liquidity Hunt is where price action moves in the opposite direction of an intended move (typically with high magnitude and velocity) to gather "Liquidity" and trigger stops created by traders caught in the break of structure zone. Any unbroken pivot is a relevant area of Liquidity. Some of the High probability areas of Liquidity will be found at Equal (or near equal) Lows or Equal High pivots. Current areas of Liquidity are marked on the chart as an Aqua (Light Blue) Background line that extends right infinitely. Once Liquidity has been taken at one of these lines, the Line will "Break" And stop displaying forward. The number of pivots calculated specifically for break of structure and Liquidity Hunts can be changed under the Liquidity Hunt setting. Much like with pivots, it is recommended to change these numbers with the same value for best results.
Due to the complexity of the math, Some liquidity pivots will only confirm and display a pivot tag after twice the candles defined have been found to the left and right under liquidity hunt settings, and some will display after the exact number specified in settings. As noted previous some will not display at all due to the high probability nature of this indicator and having been found as a "cluster" in the Supply and Demand Boxes.
Supply and Demand Boxes: Supply and Demand boxes will be created when a specific number of pivots are found in succession or in a "cluster" and a box will be drawn from the current grouping of pivots, first pivot high to the nearest pivot low in the cluster. This unique style of supply and demand box drawing has been proven to be an effective identifier of buying and selling in the price action, or likewise support or resistance upon return to these boxes. The boxes were specifically designed to identify high probability areas of Supply and Demand and are more likely to be areas of high probability buying and selling. Supply is when price action moves into or creates an area where sellers are waiting. Demand is when price action moves into or creates an area where Buyers are waiting. When price action creates a box, the box will remain Neutral with a white color while Price action remains within the box. This box will turn Red or into a Supply Box, when price action drops below the box boundaries. The box will likewise turn Green or into a Demand Box, when price action rises above the box boundaries. Any return to a colored box from the direction it was created could be anticipated as a retracement to continue in the direction of price action indicated by the box.
In the settings boxes can be extended to the current bar right to show previous areas of supply and demand, or can be left "Truncated" or in box form as a highlighter for cluster analysis.
Previous Days High and Low: The previous days High and low will be displayed on the current day as a magenta line. Some traders use these lines to anticipate price action on the day compared to where price action is moving relative to the previous day. Historical Magenta lines are also the marked on a specific day, for the previous days High and low. Historical Lines can be turned off by reducing Opacity of the setting to Zero, leaving only the previous days high and low on the current day.
Dynamic Trend Lines: Trend Lines will be created automatically that will connect unbroken pivots and extend right, highlighting the current trend. (Coming Soon™️)
Fibonacci Discount Zone: The Fibonacci Discount Zone can be found by measuring an unbroken pivot High or Low, that breaks structure left to create a new High or Low. When structure is broken and price begins a retracement before moving back in the direction of the broken structure, the retracement is typically back into the "Discount Zone" between the 618 and 786 Fibonacci zone. This zone will be automatically plotted as a light grey box in the background of the chart. (Coming Soon™️)
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
SSL + Wavetrend (7 indicators) by TradeSmartHello everyone! This script is implementing a strategy that uses 7 indicators: SSL, Wavetrend, SSL Hybrid, Keltner Channel, EMA, Candle Height and ATR. This is the 2nd best strategy that we have tested so far (based on the 100 backtests).
STRATEGY ENTRY RULES
Long entry: go long if SSL Hybrid is blue (between last candle and entry candle) and SSL Channel crosses up (green SSL line is on the top) and Wave Trend prints green dot (candle color turns yellow) and entry Candle Height is not higher than 0.6 and entry candle is inside the Keltner Channel and price target does not hit the 200 EMA.
Short entry: go short if SSL Hybrid is pink (between last candle and entry candle) and SSL Channel crosses down (red SSL line is on the top) and Wave Trend prints red dot (candle color turns blue) and entry Candle Height is not higher than 0.6 and entry candle is inside the Keltner Channel and price target does not hit the 200 EMA.
EXIT STRATEGY
The strategy will exit based on a set ATR value. Take profit and stop loss levels can be changed with risk/reward settings.
CHANGEABLE SETTINGS
Wave Trend: Channel Length, Average Length, Wave Trend Limit High, Wave Trend Limit Low
SSL: Period
SSL Hybrid: SSL1 / Baseline Type, SSL1 / Baseline Length, Base Channel Multiplier
Target Price Limit: can set 6 different limiters for long and short entries
Candle Height Limit: Limit based on, Candle Limit High, Candle Limit Low
Keltner Channel: Limit range long, Limit range short, Length, Multiplier, Source, Use Exponential MA, Bands Style, ATR Length
Exit strategy: ATR Length, ATR Smoothing, Stop Loss Multiplier (risk), Exit Price Multiplier (reward)
Setups: Capital Percentage, Risk Percentage, Allow Long Entries, Allow Short Entries
Date Range: Limit Between Dates, Start Date, End Date
Trading Time: Valid Trading Days
FIRST RELEASE SETTINGS FOR ALGOUSDT 30 M (3/19/2022)
Wave Trend: Channel Length = 11, Average Length = 19, Wave Trend Limit High = 27, Wave Trend Limit Low = -48
SSL: Period = 10
SSL Hybrid: SSL1 / Baseline Type = EMA, SSL1 / Baseline Length = 36, Base Channel Multiplier = 0.21
Target Price Limit: can set 6 different limiters for long and short entries: all false
Candle Height Limit: Limit based on: Candle Body (open/close), Candle Limit High = disabled, Candle Limit Low = enabled, 0.32
Keltner Channel: Limit range long = enabled, Full range, Limit range short = enabled, Full range, Length = 3, Multiplier = 1, Source = close, Use Exponential MA = enabled, Bands Style = Average True Range, ATR Length = 11
Exit strategy: ATR Length = 14, ATR Smoothing = EMA, Stop Loss Multiplier (risk) = 1.9, Exit Price Multiplier (reward) = 2
Setups: Capital Percentage = disabled, Risk Percentage = enabled, 1, Allow Long Entries = enabled, Allow Short Entries = enabled
Date Range: Limit Between Dates = disabled, Start Date, End Date
Trading Time: Valid Trading Days = 1234567
Hope you like this strategy, feel free to check all of our scripts. Thank you for your support!
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:
Head and Shoulders - Quasimodo etc Pattern Recognition RENKODisclaimer: Only use this pattern recognition on a RENKO chart. Renko charts plot different than traditional candles and therefore do not represent all price moves. There is a possibility of repainting while using ATR based renko charts so past results are not a 100% accurate representation of future results. Use this indicator as a part of your strategy and not as your only means of obtaining gains in the market.
Hello traders, it has been said time and time again that algorithmic software is unable to identify complex market structure like head and shoulders, quasimodo, triangle patterns and other methods humans use to base their trading decisions on. With this indicator I intend to completely crush that assumption and prove that it actualy is possible. Ofcourse an indicator is less likely to find all variation on a chart pattern and a human is probably still your best bet in finding these patterns early.
That is wy this indicator does not only use textbook patterns and has 7 variation on head and shoulders build into it. I will keep updating this indicator if I see it missed some crucial patterns. Right now it has a total of 38 patterns build into it with them being grouped under specific names. Feel free to turn off any pattern you do not like to see.
Renko patterns solve the problem of time and chaos in the markets which have been the biggest hurdle in pattern recognition software as the amount of variations to account for is just too great a number. With this script using renko it will soon be able to identify any pattern in the market and I plan to add Wyckoff to it in the future, right now I have a beta version of Wyckoff build into it but planning to add better version of it in the future. The amount of variations on Wyckoff is quite extreme so it will take a very long time to get an optimised Wyckoff identification system.
If you do not want to miss patterns I recommend to use a multi chart aproach so that you can find patterns in multiple renko brick sizes at the same time to find more entrys.
Feel free to comment any pattern you want me to add and let's make the most dedicated pattern recognition software on this platform.
Regards
HonestCowboy
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
Smart Bottom SignalThis indicator is used to find temporary bottoms that are validated with a subsequent candle that closes above the high. The indicator is based on elliott wave theory and tries to signal entries on wave lows. It triggers off of code from " TD D-Wave" 0, 2, 4, A, and C bull wave lows by finding a candle with a close higher that the high of the lowest wave candle or the high of a bullish candle that first breaks above the 8EMA. Green arrows will plot on close indicating that the indicator was triggered.
There are 3 options for display of plots provided:
ShowSmartSigs - This is defaulted to true (display) and allows users to toggle the green arrow alert plots on/off that appear below the candle when triggered.
ShowOnOffPlots - This is logic I use to signal a downturn/upturn and is indicated by red/green arrows appearing above the trigger candle.
ShowBounceSigs - This is defaulted to false and would show as an orange arrow under a candle where a bullish candle first climbs above the 8EMA when ShowOnOffPlots is signaling a downturn and SlowtSochastics is below 21. The SlowStochastics settings are adjustable on the settings screen and default to 21,3.
Alerts Available:
"Smart Buy Bounce" - This alert fires when the ShowSmartSigs signal is triggered.
"Buy Bounce" - This alert fires when the ShowBounceSigs signal is triggered.
"Turn Off Bots"/"Turn On Bots" - This alert fires when the ShowOnOffPlots signals are triggered. I use this to turn off shorter timeframe (15m-1H) bots during a prolonged price drop.
This is an early prototype that is filtered to the following tested cryptos against the specified chart timeframes and using the expressed target/trail/stoploss logic.
CRYPTO Target:Trail:StopLoss TImeframe(H)
FTM 3:2.9T:4 6
AXS 3:2.9T:4 6
AVAX 3:2.9T:4 6
MANA 3:2.9T:4 6
ONE 5:2T:2.5 4
MATIC 3:2.9T:2.5 6
XTZ 3:2.9T:4 8
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.
Wave Chart v1##Wave Chart v1##
For analyzing Neo-wave theory
Plot the market's highs and lows in real-time order.
Then connect the highs and lows
with a diagonal line. Next, the last plot of one day (or bar) is connected with a straight line to the
first plot of the next day (or bar).
##How To Use##
if you want a weekly chart you drop the time frame to the daily chart.
Then you set the range to 7(if the market opens 7 days per week).
Then you click "highlight the bar that runs to plot" and you must shift the highlight to the last day that the weekly chart bar close(Sunday / Friday)
##Example 1
Weekly chart BTCUSDT on BINANCE
first open daily chart, set range = 7 and Bars_shift = 3 (shift highlight to Sunday)
##Example 2
Weekly chart XAUUSD on FXOPEN
first open daily chart, set range = 5 (market open 5 days per week) and Bars_shift = 1 (shift highlight to Friday)
##Note##
If the market has a special holiday Wave Chart may be inaccurate.
Neowave chart cash dataScript Cash is a neo-analytic style data. Add to use on the chart and then hide the candlesticks and enjoy the cash data.
The daily data cache is set normally. To change the settings, be sure to change the D indicator to W for weekly and M for monthly.
Also enter the number of minutes to use in the hourly time frame, for example four hours (240)
...
When you change the data cache settings in the settings, you must follow the rule of one fortieth of the Neowave style and move the time frame chart to forty to analyze it, for example, for a daily time frame go to 30 minutes.
I hope it is used.
Renko Candles OverlayHello All,
For long time I got many request for Renko Candles and now here it's, Renko Candles Overlay . I tried to make almost everything optional, so you can play with the options as you want.
Let see the options:
Method: the option for brick scaling method: ATR, ATR/2, ATR/4, Percent, Traditional
- ATR Period: period for Average True Range and it's valid if the method is ATR
- ATR/2 Period: period for Average True Range and it's valid if the method is ATR/2
- ATR/4 Period: period for Average True Range and it's valid if the method is ATR/4
- Traditional: User-defined brick size, it's valid if the method is Traditional
- Percent: Percent of Close price, it's valid if the method is Percent
if the method is not Traditional (fixed brick size) then Brick size is calculated/updated when new bricks added. so The box sizes may be different because of the calculation is dynamic.
Levels & Lines for new Bricks: if you enable this option then the script shows the levels for new brick
Change Bar Color: optionally the script changes the bar color by using direction of the bricks
and some other options for coloring.
The script shows the bricks for visible area, which is approximately 280 candles. so if you change the width and number of the bricks then number of bricks that is shown is adjusted automatically to fit the screen. you can see the examples below:
The script shows the levels to new brick as a line and label:
Because of real-time bar is not confirmed until the candle close, the script shows the bricks as Unconfirmed , and unconfirmed bricks shown in different color:
You can change the width of the bricks (width is 10 in following example):
Optionally candle colors are changde by the direction of the bricks:
If you have any recommendation then please drop a comment under the script ;)
Enjoy!
Neowave Chart PlotterThis Indicator is applicable to plot wave charts as per the NeoWave method (Neely Extension of Wave Theory). NeoWave is a scientific, objective and revolutionary style of Elliott Wave Theory that was invented by Glenn Neely in 1990 in the “Mastering Elliott Wave” book.
To start analyzing with this method, we need a particular chart called the Wave Chart or Cash Data chart. This is the first step for a good wave analysis. To draw this chart, Highs and Lows should be plotted in the order that they occurred. This could be a very challenging and time-consuming task to do for any symbol on any Timeframe.
This Indicator can accurately Find High and low in each Period and draw them in the order that they occurred. for any Symbol on any Timeframe automatically and in real-time.
For example on Monthly timeframe, indicator separates each year and find high and low on the period. Then it recognizes which occurred early and plot them in order that occurred. this called "Yearly Wave Chart" and you can start to analysis it, base on Neowave method.
Important : This Indicator Works on All Type of Accounts
Some features of this Expert Adviser are:
- Draw Wave Chart on yearly, monthly, weekly, daily, hourly and minutely timeframes
- Draw Wave Chart on any integer multiples of above timeframes
- Switch between Wave Chart and Candlestick Chart simultaneously
- Online auto updating Wave Charts
- Possibility of putting watermarks
- Show Monowaves count
- Show Suspicions Monowave (where high and low occur on same Bar)
- Show Triple Monowave (where high or low occur twice on a period)
- Show Monowaves count
- plotting wave chart base on Calendar and bar count
- Show Monowaves count
- plotting wave chart on Equal distances
Modified QQE-ZigZag [Non Repaint During Candle Building]V V V V V V V Please Read V V V V V V V
I ask Peter and he is fine, that im published this script
Tell me if you have some ideas or criticism about that sricpt
>>>>>>>>>> This is a modified Version of Peter_O's Momentum Based ZigZag <<<<<<<<<<<
This is only a test, and i want to share it with the community
It works like other ZigZags
Because Peters_O's original Version is only non repaint on closed historical Data ,
during a Candle building process it can still repaint (signal appears / 21 seconds later signal disapears / 42 seconds later signal appears again in the same candle / etc.),
but that isnt important for backtesting, its only important for realtime PivotPoints during a candle.
My goal for this zigzag was to make it absolute non repaint neither during a candle building process (current candle),
so once the signal is shown there is no chance that it disapers and shown a few seconds later again on that same candle, it can only show up one time per candle an thats it,
and that makes it absolute non repaint in all time frames.
Credits to:
==> Thanks to @glaz , for bringing the QQE to Tradingview <3
==> Thanks to @Peter_O , for sharing his idea to use the QQE as base for a Zigzag
and for sharing his MTF RSI with the Community <3
Changes:
- I changed the MTF RSI a little bit, you can choose between two version
- I changed the QQE a little bit, its now using the MTF RSI , and its using High and Low values as Source to make it absolute non repaint during a candle is building
- I added a little Divergence Calculation beween price and the MTF RSI that is used for the ZigZag
Colors :
- Green for HH / HL Continuation
- Red for LL / LH Continuation
- Yellow for Positive Divergence
- Purple for Negative Divergence
Important:
It is not possible to backtest this script correctly with historical Data, its only possible in Realtime,
because the QQE is using crossunders with RSILowSource and the QQE Line to find the Tops and,
because the QQE is using crossovers with RSIHighSource and the QQE Line to find the Bottoms,
and that means it is not possible to find the correct Time/Moment when that crossovers / crossunders happens in historical Data
=============> So please be sure you understand the Calculation and Backtest it in Realtime when you want to use it,
because i didn't published this script for real trading
=============> Im not a financial advisor and youre using this script at your own risk
=============> Please do your own research
