Zig Lines with Percent & ValueOverview, Features, and Usage:
The Zig Lines with Percent & Value is an indicator that highlights the highest and lowest points of the market from pivot points and zigzag lines based on the ZigZag Period setting. By a default value of 13 for the ZigZag Period this works well on Bitcoin or other alt coins on the 1 hour or higher timeframe charts.
What makes this indicator unique is that it draws a green line to signify an uptrend or a red line to signify a down trend. It will also show the percent difference between the previous point/line, for example: If you see a -negative percentage point with a red line drawn to it, then you are looking at a low pivot point and then as the green line is drawn to a +positive percentage value the percentage you see is the difference between the two points. This is great to see a trend reversal as you can look at previous pivot points and notice about how far the price moves before it changes direction (trend reversal).
There is an invisible EMA line that is used to assist with coloring the negative vs positive values. The value above or below the percentage is the lowest or highest price at that pivot point . The display of the price at the pivot point depends on your ZigZag Period setting and the timeframe of your chart.
Added Bollinger Bands as it fits perfectly with the visuals of the Zig Lines & Pivots.
Usage of Bollinger Bands:
~As the price or candle gets close to the top or bottom of the Bollinger band it can give you a better confirmation that the pivot location is at it's final place, and the trend is more likely to switch directions.
It’s important to know this indicator should not be used for alerts of any type it does repaint as the green or red line is drawing based on live chart data and it can change depending on the direction of the market. This is a great visual tool for trend analysis or to be used with other indicators as a confirmation for a possible good entry or exit position.
Credits ( and consent to use ):
Credits go to user LonesomeTheBlue for creation of this 'Double Zig Zag with HHLL' script.
The addition of the Value above/below the Percentages is from user Noldo and that script is found here:
The Bollinger Bands setup was suggested by user countseven12 and his script that uses the same BB setup is found here:
References:
1. Chen, James. (2021 March 15). Zig Zag Indicator . Received from http: www.investopedia.com
2. Mitchell, Cory. (2021 April 30). Pivot Points . Received from http: www.investopedia.com
Trend
Volume Pump WaveThis indicator displays volume as a pump wave. Can be useful for chart analysis and easy detection of anomalies/trends.
LSMA CrossoverThis is a simple script designed to help filter out bad trades. LSMA is a trend king and by using the 21,200 and 1000 length lines traders can get a clear view of where price action is travelling. This indicator is the perfect companion to the LSMA Wave Rider indicator. Once a pullback is discovered (price action crosses under blue or white line) Traders can use LSMA Wave Rider to locate perfect entry point.
Least Squares Moving Average follows these rules:
When price crosses over it signals a bull trend.
When price crosses under it signals bear trend.
When price stays close or on the line sideways action is to be expected.
The direction of the line shows the direction of the trend.
Here is an example of finding good trades. Price action pulls below white or blue line.
Another example of what a pullback looks like.
This example shows how to find trend using crossovers.
Another example how trend can be found but by using line direction.
LSMA Wave Rider can be found here:
Stochastic OTTStochastic OTT is Anıl Özekşi's latest derived version of Optimized Trend Tracker on Stochastic Oscillator.
You might like to view the original version of the indicator if you don't know about OTT yet:
He tried to solve the fake signals of Stochastic Oscillator by adopting OTT on the indicator.
He advised users to set the stochastic smoothing parameters to 500 and 200 on his latest video about SOTT.
He personally uses 1 min charts on stock market so the parameters of the indicator might have to be optimized for other time frames nad markets.
He exaggerated the Stochastic to 1000's to have better signals of percent values of OTT.
Also hes used VIDYA in both calculations of OTT and Stochastic smoothing.
Hope you'll enjoy the SOTT in your profitable trades.
Kıvanç
TEMA Cross +HTF BacktestThis is a follow up to a previous script release called " TEMA Cross Backtest ".
This new strategy uses two TEMA crosses, one for trend direction, one for entry and exit. The entry and exit parameters are the same as the previous script. The trend direction is based on a user configurable higher timeframe TEMA cross which determines when to take longs or shorts. When the indicator is purple, it is looking for shorts, and when it is yellow, it is looking for longs. The background of the chart is colored accordingly to see the trend direction at a glance.
The default settings are the ones I have found produce the highest backtest results. The backtest is set by default to use a $500 account, and use $500 for every entry and exit, no matter the direction or overall profit/loss.
Parts of script borrowed from other public scripts.
Relative Difference Of Squares Oscillator [CC]The Relative Difference Of Squares Oscillator was created by Marco Alves (Stocks and Commodities Aug 2020 pg 10) and this is a heavily customized version of his indicator that works for single stocks instead of the entire market. I have included extra buy and sell signals to account for strong signals vs normal signals based on some user feedback I got. Buy when the line turns green and sell when it turns red. Keep in mind that this is a lagging indicator so good for trend confirmation.
Let me know if there are any other scripts you would like to see me publish!
BTC Health (OHLC and TEMA)The "health" (ie, price trend) of Bitcoin has a major influence on the whole cryptocurrency market. Therefore, it can be useful to check the price and trend of BTC prior to entering a new position. This indicator displays BTC candles plus a fast & slow TEMA below the primary chart, so you can check how BTC is behaving.
BTC quote is from BINANCE, using the timeframe of the main chart. TEMA periods can be customized.
EMA 730 Ribbon MTF - Support and ReistanceThe EMA 730 line is a great way to show dynamic support and resistance . Price action travels "through" this line on each timeframe. This script pulls the EMA 730 Line from multiple timeframes so a trader can visually see price action bounce between support and resistance lines. Lower bands (white lines) can be turned off using "tickbox" in settings. EMA length can also be adjusted in settings. Some charts may work better with a length of 750.
Example of EMA Bands on lower timeframe.
Dump Detector - Hull Moving AverageDump Detecter uses HMA (Hull Moving Average) to detect dumps/downtrends. Can be used as an exit trigger for long bots or an entry trigger for short bots. Pump signals can be turned on with tickbox.
Supertrend3n1it combines the 3 super trend indicator values to save space for more indicators in the chart , and it works perfectly with the stochastic RSI indicator
KAYA_TRENDThis is a trend indicator created for follow trend. You can follow trend from candle colors.
Lime = Bullish Trend
Red = Bearish Trend
Yellow = Trend is turning. Or trend is weakening.
Also you I added 1000 period LSMA with ATR bands for understanding trend.
If have a question please comment below.
Bitcoin 2-Year MA Multiplier by GodtrixHi guys, I found this tool very useful and accurate, but can't find it on Trading View, so I made one for myself and everyone here ;)
Alert is available too.
Indicator Overview
The 2-Year MA Multiplier is intended to be used as a long term investment tool.
It highlights periods where buying or selling Bitcoin during those times would have produced outsized returns.
To do this, it uses a moving average (MA) line, the 2yr MA, and also a multiplication of that moving average line, 2yr MA x5.
Note: the x5 multiplication is of the price values of the 2yr moving average, not of its time period.
Buying Bitcoin when price drops below the 2yr MA (green line) has historically generated outsized returns. Selling Bitcoin when price goes above the 2yr MA x 5 (red line) has been historically effective for taking profit.
Why This Happens
As Bitcoin is adopted, it moves through market cycles. These are created by periods where market participants are over-excited causing the price to over-extend, and periods where they are overly pessimistic where the price over-contracts. Identifying and understanding these periods can be beneficial to the long term investor.
This tool is a simple and effective way to highlight those periods.
Credit to & Created By
Philip Swift
Date Created
July 2017
BITSTAMP:BTCUSD
RSI Over EMA Trend SniperThis is an indicator that uses horizontal EMA lines with a RSI line on top of it to provide optimal entry and exit positions for trading crypto.
How to use:
If the Aqua(RSI) line passes upwards on the red heading to the white - it's heading towards a good BUY signal. To be safe you wait until it passes above the white line, then BUY LONG. Another signal to buy long is when the Aqua line passes above the white and green lines.
Selling is essentially the opposite, if the Aqua line is passing down from the green or white lines, then it's time to sell and exit your trade.
This indicator works well as a confirmation, and it's nice to have multiple confirmations, so it's suggested you use this with other indicators that can provide entry and exit confirmations.
EMA+RSI Pump & Drop Swing Sniper (With Alerts)This is using an EMA and RSI with slightly modified settings to give good entry and exit points while looking at Bitcoin. I use this on a 4-hour chart and with other indicators to find good positions to enter a trade or exit if things are turning red.
If you click on the EMA line it will color the bars of the chart based on if they are above or below the EMA - This is just visually helpful for me to see the active trend.
Make sure you hover over or click on the EMA line to see the colors of the candles change - it's not visible by default or without doing this.
SuperTrend Oscillator [LuxAlgo]This oscillator is made of three components, all derived from the SuperTrend indicator. This approach allows the user to easily determine overbought/sold zones, identify whether a retracement is present or if the price is ranging or trending. It also allows for the anticipation of the potential price cross with the SuperTrend.
We provide additional information including whether a signal returned by the SuperTrend was false, as well as the percentage of false signals.
Settings
Length: Period of the "average true range" used in the calculation of the SuperTrend
Mult: Multiplicative factor for the "average true range"
Smooth: Determines the degree of smoothing of the histogram
Misc:
Fixed Transparency: Use a fixed transparency for the main oscillator
Show Lines: Show the lines displayed by the indicator
Show Labels: Show the labels displayed by the indicator
Usage
The indicator is in a range of (-100,100) with values closer to 100/-100 indicating a stronger trend. The main oscillator value above 0 indicates that the price is above the SuperTrend.
It is possible to identify when a retracement is present in a trend. This is often indicated by an oscillator value moving within 50/-50.
Each overbought/oversold level can be used to determine potential exit points.
The indicator also includes two additional oscillators derived from the main oscillator. A smoothed version of the main oscillator (Signal), and a smoothed version of the difference between the Main and Signal oscillators (Histogram), thus making the oscillator part of the indicator more similar to MACD.
One can use the histogram to anticipate when the price might cross the SuperTrend by comparing the sign between the main and histogram. Potential false signals can also be filtered with this method.
Certain crosses between the price and SuperTrend can be filtered out when the histogram and main oscillator have a different sign (here main = 1, histogram = -1).
We include various indications in order to analyze the signals returned by the SuperTrend. The indicator displays symbols indicating whether a signal was false or not.
A cross symbol will be displayed at the top of the displayed lines when the previous Buy signal was false, else a checkmark is displayed. Symbols displayed at the bottom of the lines are referring to sell signals. We also provide a percentage of false signals, calculated over the entire chart history.
Details
The scaling method used is similar to max-min normalization. We first compute the difference between the price and SuperTrend and divide the result by the difference between the upper and lower extremity used to compute the SuperTrend. Values higher than (1,-1) can occur when price crosses the SuperTrend and as such we use the max and min functions to attenuate these.
The filter used to compute the signal line is based on exponential averaging and is fully adaptive. The smoothing factor used for its computation is the squared value of the main oscillator, divided by length . Since higher values of the oscillator are associated with trending markets, the filter will be closer to the main oscillator when the market is ranging.
NSDT Heiken-Ashi Direction Bar MTFA simple script that places a bar at the bottom of the chart to indicate the direction of Heiken-Ashi candles - while still using traditional candles on the main chart. Try setting the bar on a higher timeframe to see the overall direction of the trend, while using traditional candles for entries/exits.
Trend Indicator A-V2 (Smoothed Heikin Ashi Cloud)"Trend Indicator A-V2" and "Trend Indicator B-V2" are updated and improved versions of my initial trend indicators. Totally rethinking the code, adding highs and lows in the calculations, including some more customisation through colour schemes.
In practice, this indicator uses EMAs and Heikin Ashi to provide an overall idea of the trend.
The "Trend Indicator A-V2" is an overlay showing “Smoothed Heikin Ashi” .
The "Trend Indicator B-V2" uses the same values in a different way to measure the momentum of the trend and identify potential trend rejections.
Please, take into account that it is a lagging indicator.
Trend Indicator B-V2 (Momentum measuring)"Trend Indicator A-V2" and "Trend Indicator B-V2" are updated and improved versions of my initial trend indicators. Totally rethinking the code, adding highs and lows in the calculations, including some more customisation through colour schemes.
In practice, this indicator uses EMAs and Heikin Ashi to provide an overall idea of the trend.
The "Trend Indicator A-V2" is an overlay showing “Smoothed Heikin Ashi” .
The "Trend Indicator B-V2" uses the same values in a different way to measure the momentum of the trend and identify potential trend rejections.
Please, take into account that it is a lagging indicator.
INDIGO - SwingTraderThis is a script that uses a couple of other indicators to find good swing trade entry's and exit's. You can choose which signals the script uses to calculate the position of the signals.
It uses the following:
- Stoch RSI
- MACD
- POC
- INDIGO Cloud
Also added are volume candles, acceleration of momentum indicators (triangle) and MACD candles. This way you can see more info to decide if the entry is valid.
I have used a couple of public scripts and tried to give credit to the original creators. If there is any script that hasn't been credited, please contact me.
Feedback is very much appreciated, positive and negative. Also If you have any question, feel free to ask me. I'll try to answer asap.
Enjoy the script :)
Adjustable MA & Alternating Extremities [LuxAlgo]Returns a moving average allowing the user to control the amount of lag as well as the amplitude of its overshoots thanks to a parametric kernel. The indicator displays alternating extremities and aims to provide potential points where price might reverse.
Due to user requests, we added the option to display the moving average as candles instead of a solid line.
Settings
Length: MA period, refers to the number of most recent data points to use for its calculation.
Mult: Multiplicative factor for each extremity.
As Smoothed Candles: Allows the user to show the MA as a series of candles instead of a solid line.
Show Alternating Extremities : Determines whether to display the alternating extremities or not.
Lag: Controls the amount of lag of the MA, with higher values returning a MA with more lag.
Overshoot: Controls the amplitude of the overshoots returned by the MA, with higher values increasing the amplitude of the overshoots.
Usage
Moving averages using parametric kernels allows users to have more control over characteristics such as lag or smoothness; this can greatly benefit the analyst. A moving average with reduced lag can be used as a leading moving average in a MA crossover system, while lag will benefit moving averages used as slow MA in a crossover system.
Increasing 'Lag' will increase smoothness while increasing 'overshoot' will reduce lag.
The following indicator puts more emphasis on its alternating extremities, an upper extremity will be shown once the high price crosses the upper extremity, while a low extremity will be shown once the low price crosses the lower extremity. These can be interpreted like extremities of a band indicator.
The MA using a length value of 200 with a multiplicative factor of 1.
In general, extremities will effectively return points where price might potentially bounce in ranging markets while closing prices under trending markets will often be found above an upper extremity and under a lower extremity.
Reducing the lag of the moving average allows the user to obtain a more timely estimate of the underlying trend in the price, with a better fit overall. This allows the user to obtain potentially pertinent extremities where price might reverse upon a break, even under trending markets.
In the above chart, the price initially breaks the upper extremity, however, we can observe that the upper extremity eventually reaches back the price, goes above it, provides a resistance, and effectively indicates a reversal.
Users can plot candles from the moving average, these are fairly similar to heikin-ashi candles in the sense that CandleOpen(t) ≠ CandleClose(t-1) , each point of the candle is calculated as follows for our indicator:
Open = Average between MA(t-1) and MA(t-2)
High = MA using the high price as input
Low = MA using the low price as input
Close = MA using the closing price as input
Details
Lag is defined as the effect of moving averages to reflect past price variations instead of new ones, lag can be observed by the user and is the main cause of false signals. Lag is proportional to the degree of filtering returned by the moving average.
Overshooting is a common effect encountered in non-lagging moving averages, and is defined as the tendency of a moving average to exceed a maximum level (or minimum level, which can be defined as undershooting )
MA and rolling maximum/minimum, both using a length of 50 bars. While we can think of lag as a cost of smoothness, we can think of overshooting as a cost for reduced lag on some occasions.
Explaining the kernel design behind our moving average requires understanding of the logic behind lag reduction in moving averages. This can prove to be complex for non informed users, but let's just focus on the simpler part; moving averages can be defined as a weighted sum between past prices and a set of coefficients (kernel).
MA(t) = b(0)C(t) + b(1)C(t-1) + b(2)C(t-2) + ... + b(n-1)C(t-n-1)
Where n is the period of the moving average. Lag is (non optimally) reduced by "underweighting" past prices - that is multiplying them by negative numbers.
The kernel used in our moving average is based on a modified sinewave. A weighted sum making use of a sinewave as a kernel would return an oscillator centered at 0. We can divide this sinewave by an increasing linear function in order to obtain a kernel allowing us to obtain a low lag moving average instead of a centered oscillator. This is the main idea in the design of the kernel used by our moving average.
The kernel equation of our moving average is:
sin(2πx^α)(1 - x^β)
With 1>x>0 , and where α controls the lag, while β controls the overshoot amplitude.
Using this equation we can obtain the following kernels:
Here only α is changed, while β is equal to 1. Values to the left would represent the coefficients for the most recent prices. Notice how the most significant coefficients are given to the oldest prices in the case where α increases.
Higher overshoot would require more negative values, this is controlled by β
Here only β is changed, while α is equal to 1. Notice how higher values return lower negative coefficients. This effectively increases the overshoots amplitude in our moving average. We can decrease α in order for these negative coefficients to underweight more recent values.
Using α = 0 allows us to simplify the kernel equation to:
1 - x^β
Using this kernel we can obtain more classical moving averages, this can be seen from the following results:
Using β = 1 allows us to obtain a linearly decreasing kernel (the one of a WMA), while increasing allows the kernel to converge toward a rectangular kernel (the one of SMA).
macZLSMAMacd that shows instantaneous trend using ZLSMA. This crossover has the ability to reveal trend directions before it happens.
3x SuperTrend IndicatorSimplified version of SuperTrend Indicator which plots up to 3 lines at once. Script is mainly for users of free TradingView version.
Baus BandsThe Baus Bands are a simplified version of another one of my trend following indicators, the Neapolitan Bands. This version only shows the trend trading zones in green and red. An additional 21 EMA with an ATR band was added as part of my own trend trading rules using these bands.
How do I read this indicator?
Is the blue band between and not touching the green or red clouds? The condition is ranging.
Is the blue band touching the green cloud? The condition is a bullish trend.
Is the blue band touching the red cloud? The condition is a bearish trend.
The trend trading rules are exactly the same as the default Neapolitans, but include an extra condition.
A trend has started once 2 conditions are met:
Price has entered either trending cloud.
The 21 EMA ATR band in blue is within the same cloud.
With those conditions met, if you expect the trend to continue, trade pull-backs to the blue band in the direction of the trending cloud.
Isn't this just a 21 EMA trading pull-backs strategy?
No. The 21 EMA alone is not sufficient in my opinion to define a range or trend technically. Always buying the 21 EMA pull-back, especially in a range, is not a great strategy by itself unless you've already identified price as trending. Baus Bands adds that trend identification.
Why make this?
Baus Bands show the conditions I personally use for catching trends and identifying ranges with these indicators, and shows only the information I use.
What's the purpose of the ATR band around the 21 EMA?
Sometimes price will open and close below the 21 EMA and cause some technical analysts will say the trend is over. I added the ATR specifically to get a volatility based, upper and lower bound range around the 21 EMA. that way I have an acceptable price range where price could move past the 21 EMA and still keep a trend valid using similar rules. I then saw that so long this ATR band (not the 21 EMA itself) was touching those trending clouds, then the trend has a good chance of continuing as long as that was true.
