Centerline SupertrendA centerline/non-chart indicator version of Everget's Supertrend script for use in NNFX-style indicator setups, with the emphasis on this indicator NOT adding visual clutter to the main charting area with a baseline indicator already present.
This is literally the EXACT same script as Everget's Supertrend, but not drawn on the chart and with the fill/stop and fill/state level removed.
Adjust to your timeframe/asset and backtest/forward-test accordingly.
Source script by Everget (Supertrend):
Trend
RSI with Moving Averages[UO]This RSI indicator is one of my favorite indicators. This powerful indicator is implemented by Phi-Deltalytics. I modified the drawing so that it is easier (at least for me) to see the signals and trends (it would not matter if you're doing algorithmic trading).
Trends and signals. For detailed instructions and tutorial see Phi-Deltalytics page
EMA Cloud 150/250The trend is your friend.
MA's are a simple and an easy way to find the trend on anytime frame.
A lot of people use the 200 MA to define trend but I've always preferred EMA's.
This is a 150 ema and 250 ema cloud. Ema's can act as support and resistance. Instead S/R being a single line on the chart S/R is seen more as an area on support and therefore a cloud is more suitable in defining the area around the 200 ema.
Rules
1. Above the cloud the assumption is bullish
2 .Below the cloud the assumption is bearish
3 . Change in color is confirmation of a trend change
Note that all MA's lag so use with confluence of other technical indicators.
*better on higher time frames
iTrends | jhMT4 iTrends ported over.
Adapted Bulls/Bears Power from HPotter indicator. I can't confirm if that represents the iBullsPower/iBearsPower function from MT4.
Do try and provide your feedback !
ACTION LocatorThe indicator is based on the RSI and the Absolute Strength Histogram (more specifically the modification by Jie).
It is meant to be used to filter out periods of consolidation, and determine if the bulls or bears are in control when there is enough action to possibly start a trend.
The RSI is not used to find overbought or oversold conditions, but to find momentum and filter out sideways movement.
The ASH is used to filter out sideways movement by looking at the difference between the bulls and the bears and when the difference is below either the bulls or the bears, the market is considered to be consolidating. Otherwise, direction for possible trends are determined by which line is above the other.
Blue background = Bulls are in control of the ACTION
Orange background = Bears are in control of the ACTION
Gray background = No ACTION - DO NOT TRADE
Extended Recursive Bands - Maximum Efficiency With Extra OptionsIntroducing A New Calculation For Efficient Bands Calculation !
Here it is ! The Recursive Bands Indicator, an indicator specially created to be extremely efficient, i think you already know that calculation time is extra important in algorithmic trading, and this is the principal motivation for the creation of the proposed indicator. Originally described in my paper "Pierrefeu, Alex (2019): Recursive Bands - A New Indicator For Technical Analysis" , the indicator framework has been widely used in my previous uploaded indicators, however it would have been a shame to not upload it, however user experience being a major concern for me, i decided to add extra options, which explain the term "extended".
On The Indicator Calculation
You can skip this part if it doesn't interest you. The calculation of the indicator is based on recursion, but i want to explain the mathematical formula described in the paper.
I've seen some users trying to remake it from the calculations, however there was always something weird, and i understand, mathematical notations are always a bit weird, even myself don't always write them correctly/understand them, however this one is relatively simple to understand.
First lets explain each elements of the calculation :
α = smoothing constant, or 2/(length+1)
max/min = maximum and minimum function, max return the greatest input value while min return the lowest one, for example :
max(4,2) = 4 while min(4,2) = 2
the "||" notation mean taking the absolute value, for example : |-1| = abs(-1) = 1
The calculation after the max/min function is called the correction factor, and is the core of the indicator. The last two variables are just here to provide an initial value for upper and lower, basically when we start our calculations we will assign the value of the closing price for upper and lower.
The motivation behind using a smoothing constant in range of (0,1) was to tell the reader that the indicator is easily made adaptive, this is what i did on my adaptive trailing stop indicator by using the efficiency ratio as smoothing variable, the user can use 1/length instead of the provided calculation for alpha.
If you interested on the indicator main logic, it is actually really simple, by using upper = max(price,upper) and lower = min(price,lower) we would get the maximum/minimum price value at time t , therefore upper can only be greater or equal than its precedent value, while lower can only be lower or equal than its precedent value, in order to fix that we subtract/sum upper/lower with a value, this allow the upper band to be lower than its precedent value and lower to be greater than its precedent value, this is the role of the correction factor.
The Indicator
The indicator display one upper and one lower band, every common usages applied to bands indicators such as support/resistance, breakout, trailing stop...etc, can also be applied to this one. length control how reactive the bands are, higher values of length will make the bands cross the price less often.
In order to provide more flexibility for the user i added the option to use various methods for the calculation of the indicator, therefore the indicator can use the average true range, standard deviation, average high-low range, and one totally exclusive method specially designed for this indicator.
Classic Method
This option make the indicator use its classical calculation, this is the most efficient method of all.
Atr Method (atr)
This method use the average true range as correction factor, notice that lower values of length can still produce wide band.
Standard Deviation Method (stdev)
This method use a biased estimate of the standard deviation as correction factor.
The method produce smoother bands that converge more slowly toward the price in comparison with the classic correction factor.
Average High-Low Range Method (ahlr)
This method use the average of the high-low range as correction factor, extremely similar to the average true range.
Rising Falling Volatility (rfv) Method
A new method created for this indicator, this correction factor use the absolute prices changes when price value is greater/lower than any length past values of the price, this allow to have more boxy shaped bands, work best with greater values of length.
The bands can be in contact with this method, a possible fix in the future.
Conclusion
The recursive band indicator is one of my greatest indicators in my opinion (i would love to have yours), as you can see the idea behind it is extremely simple and allow for a super efficient band indicator, which was the original motivation behind it, in order to provide more fun for the users i also added more option for the correction factor, this allow the user to be creative and not get stuck with the original calculation.
Like the trend step indicator family we have almost ended our series on the recursive band framework, 1 more trailing stop will be added in the future, and then we'll have more "boring" stuff until i find something cool again, it shouldn't be long ;)
Thanks for reading !
CryptoJJ - SSL indicatorThe SSL indicator with colour change. Tool for spotting trends and finding good entry points. I recommend using it for higher timeframes, from 4h to 1D.
Play with the settings, you can change the moving avarage type, its length, if you prefer having the default
bar colours in your chart, disable the colouring function in the script.
Good luck crypto traders!
CryptoJJ
Range Force Impulse The "Range Force Impulse" indicator combines 4 useful indicators into one, freeing up chart real-estate and giving the trader insight into trend health, bull/bear commitment, range and volatility all at a glance.
The indicator consists of the following:
Direction - True Range and Average True Range columns shown above and below 0 depending on direction of the period's price
-- TR (gray) shows the current period's trading volatility
-- ATR (Impulse colors, see below) shows an EMA of TR over a specified length
-- Can be used to determine stops and targets (Example: Stop loss at prev close - ATR, Target at 2x ATR)
Index - Alexander Elder's EMA of (change(close) * volume), shows crosses above 0 (green) and below 0 (red), and intermediate signals
-- Shows bull vs. bear interest/commitment/dominance
-- Elder recommends EMA length of 2 for daily chart buy/sell signals, and 13 for weekly chart bull/bear dominance & trend direction signals
-- Intermediate signals are shown above 0 when falling (salmon), or below 0 when rising (pale yellow)
System - Range columns are colored using Alexander Elder's censorship system (green: do not short, red: do not long, blue: is up to you)
-- Shows overall trend health (Macd histogram and EMA up/down changes)
Schaff Trend Cycle [ChuckBanger]The Schaff Trend Cycle is a method, developed by Doug Schaff and based on the concept that trends also have repeating high and low patterns, or cycles. This is a modified MACD line, run through a modified stochastic algorithm and smoothed with Wilders’ smoothing in order to estimate the final Schaff Trend Cycle (STC) indicator. Its purpose is to identify the direction, in which a trend cycle is moving and possible peaks and bottoms within this cycle.
If this is interesting you should also take a look at MACD Leader:
For more info about Schaff Trend Cycle Indicator:
www.investopedia.com
Stochastic binary option styleUsing Time Frames For Trend – You can also use different time frames to determine trends with stochastic. To do this you will need to use two different time frame charts, I like to use the weekly/daily or daily/hourly combination depending on the asset. Weekly/daily works well with stocks and indices while I prefer the shorter time frame for currency and commodities. This is how it works; stochastic on the longer term chart sets trend, stochastic on the shorter term chart gives the signal. If, on the weekly chart, stochastic is pointing up then you would trade bullish signals on the daily charts. Or if using the daily/hourly combo the stochastic on the daily would set trend while signals would come from the hourly chart.
Green color bar and background means k is > d, the crowd is bullish (trend is bullish, a bullish crossover is happened), red is the contrary (bears are the leaders)
Credit to Michael Hodges
InfoPanel Divergence IndicatorThis panel spots divergences of some well knonw indicators. It may be usefull because you have all indicators in one panel only.
Also, you can check on chart which indicator gives better results of each pair on stock or index or crypto.
TO DO: to add custom indicators.
thanks to: RicardoSantos for his script of panel coding
Tradingview scripts
Other members of TV community (I cannot remember the source and inspiration of all snipets)
Please use comment section for any feedback.
InfoPanel Indicators microtrendThis panel shows current value and trend of some well knonw indicators. It may be usefull because you have all indicators in one panel only.
thanks to: RicardoSantos for his script of panel coding
Tradingview scripts
Please use comment section for any feedback.
Strategy based on the principles of Price ActionIt is considered the percentage of candles with low and high closure for a certain period. Then, a moving average is built from these values. When the moving average of the ratio of tall candles to low candles is greater than the ratio of low candles to high, then long (that is, when the green line crosses the red). And vice versa - a condition for short. It also works on crypto with other settings. Idea for improvement: you can make partial exit by taking, at certain profit levels, the chart will be more stable. Result with a commission of 0.004% You can create an optimizer, and use this strategy on any liquid asset. (Sorry for google translator)
Signal To Noise Ratio IndicatorThis is a trend indicator at its core so combine with rsi or a moving average of your choice to see which direction the stock is trending in.
Only enter a position (long or short) when signal to noise ratio is above the signal line
This is one of my first indicators posted on here so be sure to leave me feedback
Didi Index Improved with QQE | jhI was perplexed by the lack of continuation signals in trends, so I spent some time looking for a suitable indicator just for that purpose and fast indicators that can provide continuation signals tend to be too noisy as well.
I'm always intrigued by QQE (Qualitative Quantitative Estimation), so I QQE-ed almost everything I encountered.
After a while, I settled on Didi Index and enhanced it by adding an additional signal line calculated from QQE trailing line. The QQE trailing line provides additional cross overs for the short/fast Didi line, specially created for the NNFX continuation signals in the same direction.
The QQE trailing line acts as zero cross, providing an additional filter for ranging periods.
There's a few ways of identifying the cross overs:
Didi cross overs signals are highlighted with shapes at the top.
Didi long signal when fast and slow Didi crosses above zero
Didi short signal when fast and slow Didi crosses below zero
Continuation signals are highlighted with shapes at the bottom.
Continuation long signal when Didi fast line cross over QQE trailing line
Continuation short signal when Didi fast line cross under QQE trailing line
Example of continuation trades
Example of filtering bad signals from your baseline, confirmation or continuation signals.
Credits to Glaz and Shizaru for their QQE code.
T-Step LSMAIntroduction
The trend step indicator family has produced much interest in the community, those indicators showed in certain cases robustness and reactivity. Their ease of use/interpretation is also a major advantage. Although those indicators have a relatively good fit with the input price, they can still be improved by introducing least-squares fitting on their calculations. This is why i propose a new indicator (T-Step LSMA) which aim to gather all the components of the trend-step indicator family (including the auto-line family).
The indicator will use as a threshold the mean absolute error between the input and the output (T-Channel) scaled with the efficiency ratio (Efficient Trend Step) while using least squares in order to provide a better fit with the price (Auto-Filter).
The Indicator
The interpretation of the indicator is easy, the indicator estimate an up-trending market when in blue, down-trending when in orange, the signal only depend on the trend-step part ( b in the code).
length control the period of the efficiency ratio as well as any components in the lsma calculation. The efficiency ratio allow to provide adaptivity, therefore the threshold will be lower when market is trending and higher when market is ranging.
Sc control the amount of feedback of the indicator, a value of 1 will use only the closing price as input, a value of 0.5 will use 50% of the closing price/indicator output as input, this allow to get smoother results.
It is possible to get the non-smooth version of the indicator by checking "No Smoothing".
This allow the indicator to filter more information.
Least Squares Smoothing - Benefits
One could ask why introducing least squares smoothing, there are several reasons to this choice, we have seen that trend-step indicators are boxy, they filter most of the variational information in the price, introducing least squares smoothing allow to gain back some of this variational information while providing a better fit with the price, the indicator is more noisy but also more practical in certain situations.
For example the indicator in its boxy form can't really be useful as input for other indicators, which is not the case with this version.
Relative strength index of period 14 using the proposed indicator as input.
Down-Sides
The indicator is dependent on the time frame used, larger time frames resulting in an indicator overfitting, sticking with lower time frames might be ideal. The indicator behavior might also change depending on the market in which it is applied.
Setting Up Alerts For The Indicator
Alerts conditions are already set, in order to create an alert based on the indicator follow these steps :
Go to the alert section (the alarm clock) -> create new alert -> select T-Step LSMA in condition -> Below select Up or Dn (Up for a up-trending alert and Dn for a down-trending alert)
In option select "once per bar close", change the message if you want a personalized message.
Conclusion
I don't think i'll post other indicators related to the trend-step framework for the time to comes, nonetheless the ones posted proven to have interesting results as well as many upsides. Although i don't think they would generate positive long-terms returns they could still be of use when using smarter volatility metrics as threshold. The proposed indicator conserve more information than its relatives and might find some use as input for other indicators.
Recommended Use Of The Code
Although i don't put restrictions on the code usage, i still recommend creative and pertinent changes to be made, graphical changes or any minor changes are not necessary, remember that such practice is disrespectful toward the author, you don't want to load up the tradingview servers for nothing right ?
Support Me
Making indicators sure is hard, it takes time and it can be quite lonely to, so i would love talking with you guys while making them :) There isn't better support than the one provided by your friends so drop me a message.
Regression Channel [DW]This is an experimental study which calculates a linear regression channel over a specified period or interval using custom moving average types for its calculations.
Linear regression is a linear approach to modeling the relationship between a dependent variable and one or more independent variables.
In linear regression, the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data.
The regression channel in this study is modeled using the least squares approach with four base average types to choose from:
-> Arnaud Legoux Moving Average (ALMA)
-> Exponential Moving Average (EMA)
-> Simple Moving Average (SMA)
-> Volume Weighted Moving Average (VWMA)
When using VWMA, if no volume is present, the calculation will automatically switch to tick volume, making it compatible with any cryptocurrency, stock, currency pair, or index you want to analyze.
There are two window types for calculation in this script as well:
-> Continuous, which generates a regression model over a fixed number of bars continuously.
-> Interval, which generates a regression model that only moves its starting point when a new interval starts. The number of bars for calculation cumulatively increases until the end of the interval.
The channel is generated by calculating standard deviation multiplied by the channel width coefficient, adding it to and subtracting it from the regression line, then dividing it into quartiles.
To observe the path of the regression, I've included a tracer line, which follows the current point of the regression line. This is also referred to as a Least Squares Moving Average (LSMA).
For added predictive capability, there is an option to extend the channel lines into the future.
A custom bar color scheme based on channel direction and price proximity to the current regression value is included.
I don't necessarily recommend using this tool as a standalone, but rather as a supplement to your analysis systems.
Regression analysis is far from an exact science. However, with the right combination of tools and strategies in place, it can greatly enhance your analysis and trading.
Trend-Corrected EMAEMA is a lagging indicator, but we can do better by correcting it with its first and second derivative, which may be more theoretically sound than how DEMA and TEMA are trying to achieve the same.
[Maco] PUELL MULTIPLEReverse formulated what the closed source version is and releasing open source publicly to give back to the community.
If you have any questions feel free to join our Discord!
Running Equity - A New Indicator For Optimal Markets DetectionIntroduction
Winning trades and gaining profits in trading is not impossible, however having gross profits superior to gross losses is what make trading challenging, it is logical to think that it is better to open a position when the probability of winning the trade is high, such probability can’t be measured with accuracy but a lot of metrics have been proposed in order to help determining when to open positions, technical analysis support the fact that a trending market is the best market condition for opening a position, which is logical when using a trend following strategy, therefore a long-term positive auto-correlated market is optimal for trading, this is why this paper present a new method for detecting optimal markets conditions in order to open a position.
The Indicator
The proposed indicator is based on the assumption that positive returns using a trend following strategy are a strong indication of trend strength, the proposed indicator is built from the conditions of a simple SMA cross trend following strategy, which are to go long when price > SMA and to go short when price < SMA. Then the equity from those conditions is built, in order to provide a more flexible indicator, length control the period of the sum.
When the indicator is positive it means that the market allow for potential returns, it can thus be considered being trending. Else a negative value of the indicator indicate a ranging market that won't allow for returns.
Filtering Bad Trades
The indicator can be used to filter bad trades entries, in this example a Bollinger band breakout strategy is used, without any changes the strategy return the following equity on EURUSD
The proposed indicator is then applied with the following conditions : buy and sell only if Req > 0
With an indicator period = 100 we filtered unprofitable trades.
Conclusion
I presented a new indicator for the detection of optimal markets based on a running equity. I hope both indicators may find applications in technical analysis and help investors get pertinent outputs from them.
it would mean a lot if you could read the original paper : figshare.com
QuarryLake v4As some of you requested, I will make the code for QuarryLake Open for you all.
I have also updated the script in version 4.
This strategy consists of 3 indicators that I found works quite well together.
Keltner Channel, Waddah Attah Explosion, and Volatility Stop .
KC Period = 200
KCATR = 5
Vstop Period = 3
Vstop Mult = 1.5
Long when close > KC, close > Vstop, WAE trendUp
Short when close < KC, close < Vstop, WAE trendDown
Works well on BTCUSD XBTUSD , as well as other major liquid Pair.
This strategy utilized a modified Kelly position sizing for BTCUSD Bitstamp , feel free to modify it to your needs.
And lastly,
Save Hong Kong, the revolution of our times.
