[D] Dudu 95 Strategy Template ver.1.1.Hello Guys! Nice to meet you all!
This is my Second script after changing My Profile Name!
I updated my strategy template before - I added some filter conditions (EMA, ADX, DMI).
If there's something to update, I will update this script!
Thank you!
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I made this based on the open source strategies by jason5480, kevinmck100, myncrypto.
Thank you All!
### Filter
1. Can Choose whether to use filter.
2. Filters Based on ATR, EMA, ADX, and DMI are ready to use.
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313) Strategy
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RF+ Divergence Scalping SystemRF+ Divergence Scalping System + Custom Signals + Alerts.
This chart overlay indicator has been developed for the low timeframe divergence scalper.
Built upon the realtime divergence drawing code from the Divergence for Many indicator originally authored by Lonsometheblue, this chart overlay indicator bundles several additional unique features and modifications to serve as an all-in-one divergence scalping system. The current key features at the time of publishing are listed below (features are optional and can be enabled or disabled):
- Fully configurable realtime divergence drawing and alerting feature that can draw divergences directly on the chart using data sourced from up to 11 oscillators selected by the user, which have been included specifically for their ability to detect divergences, including oscillators not presently included in the original Divergence for Many indicator, such as the Ultimate Oscillator and TSI.
- Optional on chart table showing a summary of key statuses of various indicators, and nearby divergences.
- 2 x Range Filters with custom settings used for low timeframe trend detection.
- 3 x configurable multi-timeframe Stochastic RSI overbought and oversold signals with presentation options.
- On-chart pivot points drawn automatically.
- Automatically adjusted pivot period for up to 4 configurable time frames to fine tune divergences drawn for optimal divergence detection.
- Real-price line for use with Heikin Ashi candles, with styling options.
- Real-price close dots for use with Heikin Ashi candles, with styling options.
- A selection of custom signals that can be printed on-chart and alerted.
- Sessions indicator for the London, New York, Tokyo and Sydney trading sessions, including daylight savings toggle, and unique ‘invert background color’ option, which colours the entire chart - except the trading session you have selected, leaving your chart clear of distracting background color.
- Up to 4 fully configurable moving averages.
- Additional configurable settings for numerous built in indicators, allowing you to alter the lengths and source types, including the UO, TSI, MFI, TSV, 2 x Range Filters.
- Configurable RSI Trend detection signal filter used in a number of the signals, which filters buy signals where the RSI is over the RSI moving average, and only prints sell signals where RSI is under the moving average.
- Customisable on-chart watermark, with inputs for a custom title, subtitle, and also an optional symbol | timeframe | date feature.
The Oscillators able to be selected for use in drawing divergences at the time of publishing are as follows:
- Ultimate Oscillator (UO)
- True Strength Indicator (TSI)
- Money Flow Index (MFI)
- Cumulative Delta Volume (CDV)
- Time Segmented Volume (TSV)
- Commodity Channel Index (CCI)
- Awesome Oscillator
- Relative Strength Index (RSI)
- Stochastic
- On Balance Volume (OBV)
- MACD Histogram
What are divergences?
Divergence 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.
There are 4 main types of divergence, which are split into 2 categories;
regular divergences and hidden divergences. Regular divergences indicate possible trend reversals, and hidden divergences indicate possible trend continuation.
Regular bullish divergence: An indication of a potential trend reversal, from the current downtrend, to an uptrend.
Regular bearish divergence: An indication of a potential trend reversal, from the current uptrend, to a downtrend.
Hidden bullish divergence: An indication of a potential uptrend continuation.
Hidden bearish divergence: An indication of a potential downtrend continuation.
Setting alerts.
With this indicator you can set alerts to notify you when any/all of the above types of divergences occur, on any chart timeframe you choose, also when the triple timeframe Stochastic RSI overbought and oversold confluences occur, as well as when custom signals are printed.
Configurable pivot period values.
You can adjust the default pivot period values to suit your prefered trading style and timeframe. If you like to trade a shorter time frame, lowering the default lookback values will make the divergences drawn more sensitive to short term price action. By default, this indicator has enabled the automatic adjustment of the pivot periods for 4 configurable time frames, in a bid to optimize the divergences drawn when the indicator is loaded onto any of the 4 time frames selected. These time frames and their associated pivot periods can be fully reconfigured within the settings menu. By default, these have been further optimized for the low timeframe scalper trading on the 1-15 minute time frames.
How do traders use divergences in their trading?
A divergence is considered a leading indicator in technical analysis , meaning it has the ability to indicate a potential price move in the short term future.
Hidden bullish and hidden bearish divergences, which indicate a potential continuation of the current trend are sometimes considered a good place for traders to begin, since trend continuation occurs more frequently than reversals, or trend changes.
When trading regular bullish divergences and regular bearish divergences, which are indications of a trend reversal, the probability of it doing so may increase when these occur at a strong support or resistance level . A common mistake new traders make is to get into a regular divergence trade too early, assuming it will immediately reverse, but these can continue to form for some time before the trend eventually changes, by using forms of support or resistance as an added confluence, such as when price reaches a moving average, the success rate when trading these patterns may increase.
Typically, traders will manually draw lines across the swing highs and swing lows of both the price chart and the oscillator to see whether they appear to present a divergence, this indicator will draw them for you, quickly and clearly, and can notify you when they occur.
How do traders use overbought and oversold levels in their trading?
The oversold level is when the Stochastic RSI is above the 80 level is typically interpreted as being 'overbought', and below the 20 level is typically considered 'oversold'. Traders will often use the Stochastic RSI at, or crossing down from an overbought level as a confluence for entry into a short position, and the Stochastic RSI at, or crossing up from an oversold level as a confluence for an entry into a long position. These levels do not mean that price will necessarily reverse at those levels in a reliable way, however. This is why this version of the Stoch RSI employs the triple timeframe overbought and oversold confluence, in an attempt to add a more confluence and reliability to this usage of the Stoch RSI.
This indicator is intended for use in conjunction with related panel indicators including the TSI+ (True Strength Indicator + Realtime Divergences), UO+ (Ultimate Oscillator + Realtime Divergences), and optionally the STRSI+ (MTF Stochastic RSI + Realtime Divergences) and MFI+ (Money Flow Index + Realtime Divergences) available via this authors’ Tradingview profile, under the scripts section. The realtime divergence drawing code will not identify all divergences, so it is suggested that you also have panel indicators to observe. Each panel indicator also offers additional means of entry confirmation into divergence trades, for example, the Stochastic can indicate when it is crossing down from overbought or up from oversold, the TSi can indicate when the 2 TSI bands cross over one another upward or downward, and the UO and MFI can indicate an entry confluence when they are nearing, or crossing their centerlines, for more confidence in your divergence trade entries.
Additional information on the settings for this indicator can be found via the tooltips within the settings menu itself. Further information on feature updates, and usage tips & tricks will be added to the comments section below in due course.
Disclaimer: This indicator uses code adapted from the Divergence for Many v4 indicator authored by Lonesometheblue, and several stock indicators authored by Tradingview. With many thanks.
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Nadaraya-Watson: Rational Quadratic Kernel (Non-Repainting)What is Nadaraya–Watson Regression?
Nadaraya–Watson Regression is a type of Kernel Regression, which is a non-parametric method for estimating the curve of best fit for a dataset. Unlike Linear Regression or Polynomial Regression, Kernel Regression does not assume any underlying distribution of the data. For estimation, it uses a kernel function, which is a weighting function that assigns a weight to each data point based on how close it is to the current point. The computed weights are then used to calculate the weighted average of the data points.
How is this different from using a Moving Average?
A Simple Moving Average is actually a special type of Kernel Regression that uses a Uniform (Retangular) Kernel function. This means that all data points in the specified lookback window are weighted equally. In contrast, the Rational Quadratic Kernel function used in this indicator assigns a higher weight to data points that are closer to the current point. This means that the indicator will react more quickly to changes in the data.
Why use the Rational Quadratic Kernel over the Gaussian Kernel?
The Gaussian Kernel is one of the most commonly used Kernel functions and is used extensively in many Machine Learning algorithms due to its general applicability across a wide variety of datasets. The Rational Quadratic Kernel can be thought of as a Gaussian Kernel on steroids; it is equivalent to adding together many Gaussian Kernels of differing length scales. This allows the user even more freedom to tune the indicator to their specific needs.
The formula for the Rational Quadratic function is:
K(x, x') = (1 + ||x - x'||^2 / (2 * alpha * h^2))^(-alpha)
where x and x' data are points, alpha is a hyperparameter that controls the smoothness (i.e. overall "wiggle") of the curve, and h is the band length of the kernel.
Does this Indicator Repaint?
No, this indicator has been intentionally designed to NOT repaint. This means that once a bar has closed, the indicator will never change the values in its plot. This is useful for backtesting and for trading strategies that require a non-repainting indicator.
Settings:
Bandwidth. This is the number of bars that the indicator will use as a lookback window.
Relative Weighting Parameter. The alpha parameter for the Rational Quadratic Kernel function. This is a hyperparameter that controls the smoothness of the curve. A lower value of alpha will result in a smoother, more stretched-out curve, while a lower value will result in a more wiggly curve with a tighter fit to the data. As this parameter approaches 0, the longer time frames will exert more influence on the estimation, and as it approaches infinity, the curve will become identical to the one produced by the Gaussian Kernel.
Color Smoothing. Toggles the mechanism for coloring the estimation plot between rate of change and cross over modes.
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obvFilterThis library comes with everything you need to add an On Balance Volume (OBV) filter to your strategy.
getOnBalanceVolumeFilter(source, maType, fastMaLength, fastMaLength)
Get the fast and slow moving average for on balance volume
Parameters:
source : hook this up to an 'input.source' input
maType : Choose from EMA, SMA, RMA, or WMA
fastMaLength : int smoothing length for fast moving average
fastMaLength : int smoothing length for fast moving average int smoothing length for slow moving average
Returns: Tuple with fast obv moving average and slow obv moving average
Add this to your strategy
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import jordanfray/obvFilter/1 as obv
obvSource = input.source(defval=close, title="OBV Source", group="On Balance Volume Filter")
obvMaType = input.string(defval="EMA", title="OBV Smoothing Type", options = , group="On Balance Volume Filter")
fastMaLength = input.int(title = "Fast OBV MA Length", defval = 9, minval = 2, maxval = 200, group="On Balance Volume Filter")
slowMaLength = input.int(title = "Slow OBV MA Length", defval = 21, minval = 1, maxval = 200, group="On Balance Volume Filter")
= obv.getOnBalanceVolumeFilter(obvSource, obvMaType, fastMaLength, slowMaLength) Library
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KERPD Noise Filter - Kaufman Efficiency Ratio and Price DensityThis indicator combines Kaufman Efficiency Ratio (KER) and Price Density theories to create a unique market noise filter that is 'right on time' compared to using KER or Price Density alone. All data is normalized and merged into a single output. Additionally, this indicator provides the ability to consider background noise and background noise buoyancy to allow dynamic observation of noise level and asset specific calibration of the indicator (if desired).
The basic theory surrounding usage is that: higher values = lower noise, while lower values = higher noise in market.
Notes: NON-DIRECTIONAL Kaufman Efficiency Ratio used. Threshold period of 30 to 40 applies to Kaufman Efficiency Ratio systems if standard length of 20 is applied; maintained despite incorporation of Price Density normalized data.
TRADING USES:
-Trend strategies, mean reversion/reversal/contrarian strategies, and identification/avoidance of ranging market conditions.
-Trend strategy where KERPD is above a certain value; generally a trend is forming/continuing as noise levels fall in the market.
-Mean reversion/reversal/contrarian strategies when KERPD exits a trending condition and falls below a certain value (additional signal confluence confirming for a strong reversal in price required); generally a reversal is forming as noise levels increase in the market.
-A filter to screen out ranging/choppy conditions where breakouts are frequently fake-outs and or price fails to move significantly; noise level is high, in addition to the background buoyancy level.
-In an adaptive trading systems to assist in determining whether to apply a trend following algorithm or a mean reversion algorithm.
THEORY / THOUGHT SPACE:
The market is a jungle. When apex predators are present it often goes quiet (institutions moving price), when absent the jungle is loud.
There is always background noise that scales with the anticipation of the silence, which has features of buoyancy that act to calibrate the beginning of the silence and return to background noise conditions.
Trend traders hunt in low noise conditions. Reversion traders hunt in the onset of low noise into static conditions. Ranges can be avoided during high noise and buoyant background noise conditions.
Distance between the noise line and background noise can help inform decision making.
CALIBRATION:
- Set the Noise Threshold % color change line so that the color cut off is where your trend/reversion should begin.
- Set the Background Noise Buoyancy Calibration Decimal % to match the beginning/end of the color change Noise Threshold % line. Match the Background Noise Baseline Decimal %' to the number set for buoyancy.
- Additionally, create your own custom settings; 33/34 and 50 length also provides interesting results.
- A color change tape option can be enabled by un-commenting the lines at the bottom of this script.
Market Usage:
Stock, Crypto, Forex, and Others
Excellent for: NDQ, J225, US30, SPX
Market Conditions:
Trend, Reversal, Ranging Indicator
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Parabolic SAR of KAMA [Loxx]Parabolic SAR of KAMA attempts to reduce noise and volatility from regular Parabolic SAR in order to derive more accurate trends. In addition, and to further reduce noise and enhance trend identification, PSAR of KAMA includes two calculations of efficiency ratio: 1) price change adjusted for the daily volatility; or, 2) Jurik Fractal Dimension Adaptive (explained below)
What is PSAR?
The parabolic SAR indicator, developed by J. Wells Wilder, is used by traders to determine trend direction and potential reversals in price. The indicator uses a trailing stop and reverse method called "SAR," or stop and reverse, to identify suitable exit and entry points. Traders also refer to the indicator as to the parabolic stop and reverse, parabolic SAR, or PSAR.
What is KAMA?
Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-following indicator can be used to identify the overall trend, time turning points and filter price movements.
What is the efficiency ratio?
In statistical terms, the Efficiency Ratio tells us the fractal efficiency of price changes. ER fluctuates between 1 and 0, but these extremes are the exception, not the norm. ER would be 1 if prices moved up 10 consecutive periods or down 10 consecutive periods. ER would be zero if price is unchanged over the 10 periods.
What is Jurik Fractal Dimension?
There is a weak and a strong way to measure the random quality of a time series.
The weak way is to use the random walk index (RWI). You can download it from the Omega web site. It makes the assumption that the market is moving randomly with an average distance D per move and proposes an amount the market should have changed over N bars of time. If the market has traveled less, then the action is considered random, otherwise it's considered trending.
The problem with this method is that taking the average distance is valid for a Normal (Gaussian) distribution of price activity. However, price action is rarely Normal, with large price jumps occuring much more frequently than a Normal distribution would expect. Consequently, big jumps throw the RWI way off, producing invalid results.
The strong way is to not make any assumption regarding the distribution of price changes and, instead, measure the fractal dimension of the time series. Fractal Dimension requires a lot of data to be accurate. If you are trading 30 minute bars, use a multi-chart where this indicator is running on 5 minute bars and you are trading on 30 minute bars.
Conclusion from the combined efforts explained above:
-PSAR is a tool that identifies trends
-To reduce noise and identify trends during periods of low volatility, we calculate a PSAR on KAMA
-To enhance noise and reduction and trend identification, we attempt to derive an efficiency ratio that is less reliant on a Normal (Gaussian) distribution of price
Included:
-Customization of all variables
-Select from two different ER calculation styles
-Multiple timeframe enabled Indicator
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ATR with MAOVERVIEW
The Average True Range Moving Average (ATRMA) is a technical indicator that gauges the amount of volatility currently present in the market, relative to the historical average volatility that was present before. It adds a moving average to the Average True Range (ATR) indicator.
This indicator is extremely similar to the VOXI indicator, but instead of measuring volume, it measures volatility. Volume measures the amount of shares/lots/units/contracts exchanged per unit of time. Volatility, on the other hand, measures the range of price movement per unit of time.
The purpose of this indicator is to help traders filter between non-volatile periods in the market from volatile periods in the market without introducing subjectivity. It can also help long-term investors to determine market regime using volatility without introducing subjectivity.
CONCEPTS
This indicator assumes that trends are more likely to start during periods of high volatility, and consolidation is more likely to persist during periods of low volatility. The indicator also assumes that the average true range (ATR) of the last 14 candles is reflective of the current volatility in the market. ATR is the average height of all the candles, where height = |high - low|.
Suppose the ATR of the last 14 candles is greater than a moving average of the ATR(14) of the last 20 candles (this occurs whenever the indicator's filled region is colored BLUE). In that case, we can assume that the current volatility in the market is high.
Suppose the ATR of the last 14 candles is less than the moving average of the ATR(14) of the last 20 candles (this occurs whenever the indicator's filled region is colored RED). In that case, we can assume that the current volatility in the market is low.
HOW DO I READ THIS INDICATOR?
If the ATR line is above the ATR MA line (indicated by the blue color), the current volatility is greater than the historical average volatility.
If the ATR line is above the ATR MA line (indicated by the red color), the current volatility is less than the historical average volatility. Indicator
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Volume OximeterOVERVIEW
The Volume Oximeter (VOXI) is a technical indicator that gauges the amount of volume currently present in the market, relative to the historical volume that was present before. The purpose of this indicator is to filter out with-trend signals during ranging/non-trending conditions.
CONCEPTS
This indicator assumes that trends are more likely to start during periods of high volume, compared to during periods of low volume. This is because high volume indicates that there are bigger players currently in the market, which is necessary to begin a sustained trending move.
So, to determine whether the current volume is "high", it is compared to an average volume for however number of candles back the user specifies.
If the current volume is greater than the average volume, it is reasonable to assume we are in a high volume period. Thus, this is the ideal time to enter a trending trade due to the assumption that trends are more likely to start during these high volume periods.
The default values in the indicator are designed for use on the daily chart but can be applied to any timeframe.
The default volume lookback period is 259 since there are usually 259 daily candles in a year on Forex daily charts. This means that the average volume will represent the average volume over the past year. This would be 365 on Crypto daily charts, since the Crypto is open 24/7 instead of 24/5). This is what the current volume will be compared to.
The default smoothing lookback period is 10, but this can be adjusted depending on the indicator that's giving you your with-trend signals. After my backtesting, 10 was the best value for my with-trend indicator, so you should do your own testing to see which value works best with your with-trend indicator.
HOW DO I READ THIS INDICATOR?
If the VOXI line is above or equal to zero (indicated by the blue color), the current volume is greater than the historical average volume.
This is a good time to take with-trend signals since high volume is necessary for sustained trending moves to begin.
If the VOXI line is below zero (indicated by the red color), the current volume is less than the historical average volume.
This is a good time to ignore with-trend signals since an absence of volume indicates that there aren't big market participants to participate in a new trending move. Indicator
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