Technical Analyst by DGTWho needs a Technical Analyst?
yes I can hear someone is asking for, and here is one that can help you with technical analysis
The analyst will present a technical anlaysis report at a glance calculated by the most popular technical indicators , and the good part, the anlayst will do it voluntarily
technical skills of the analyst:
- experienced an all markets
- ability to interpret moving averages
- ability to interpret volume changes
- ability to interpret trend folowing indicators such as:
* directional movement index (dmi), identify trend strength and trend direction
* complex ichimoku cloud , identify trend stregth, and tk crosses
- ability to interpret oscillators such as:
* relative strength index, identify oversold overbought levels, identify the rsi flow
* commodity channel index, identify oversold overbought levels
* awesome identify if grawing or falling
* macd if bullish or bearish, and macd histogram if grawing or falling
- ability to calculate probability and its trend
- non-stop hardworker,
- available 7/24,
- highly dedicated always on duty,
- open for new ideas and willing to learn
- upon request the analyst will create reports with custom settings of your choise
the analyst is not a decition maker, trading success is all about following your trading strategy and the analyst aims to help with the presented reports calculated by the most popular technical indicators
the analyst supports 9 of the popular technical indicators and is willing to learn more , please share your comments and feedbacks and help the analyst improve skills
cheers!
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
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Momentum Acceleration by DGTItalian physicist Galileo Galilei is usually credited with being the first to measure speed by considering the distance covered and the time it takes. Galileo defined speed as the distance covered during a period of time. In equation form, that is v = Δd / Δt where v is speed, Δd is change in distance, and Δt is change in time. The Greek symbol for delta, a triangle (Δ), means change.
Is the speed getting faster or slower?
Acceleration will be the answer, acceleration is defined as the rate of change of speed over a set period of time, meaning something is getting faster or slower. Mathematically expressed, acceleration denoted as a is a = Δv / Δt , where Δv is the change in speed and Δt is the change in time.
How to apply in trading
Lets think about Momentum, Rate of Return, Rate of Change all are calculated in almost same approach with Speed
Momentum measures change in price over a specified time period,
Rate of Change measures percent change in price over a specified time period,
Rate of Return measures the net gain or loss over a specified time period,
And Speed measures change in distance over a specified time period
So we may state that measuring the change in distance is also measuring the change in price over a specified time period which is length, hence
speed can be calculated as (source – source )/length and acceleration becomes (speed – speed )/length
In this study acceleration is used as signal line and result plotted as arrows demonstrating bull or bear direction where direction changes can be considered as trading setups
Just a little fun, since we deal with speed the short name of the study is named after famous cartoon character Speedy Gonzales
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer: The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Elliott Wave Oscillator Signals by DGTElliott Wave Principle , developed by Ralph Nelson Elliott, proposes that the seemingly chaotic behaviour of the different financial markets isn’t actually chaotic. In fact the markets moves in predictable, repetitive cycles or waves and can be measured and forecast using Fibonacci numbers. These waves are a result of influence on investors from outside sources primarily the current psychology of the masses at that given time. Elliott wave predicts that the prices of the a traded currency pair will evolve in waves: five impulsive waves and three corrective waves. Impulsive waves give the main direction of the market expansion and the corrective waves are in the opposite direction (corrective wave occurrences and combination corrective wave occurrences are much higher comparing to impulsive waves)
The Elliott Wave Oscillator (EWO) helps identifying where you are in the 5-3 Elliott Waves, mainly the highest/lowest values of the oscillator might indicate a potential bullish/bearish Wave 3. Mathematically expressed, EWO is the difference between a 5-period and 35-period moving average based on the close. In this study instead 35-period, Fibonacci number 34 is implemented for the slow moving average and formula becomes ewo = ema(source, 5) - ema(source, 34)
The application of the Elliott Wave theory in real time trading gets difficult because the charts look messy. This study (EWO-S) simplifies the visualization of EWO and plots labels on probable reversals/corrections. The good part is that all plotting’s are performed on the top of the price chart including a histogram (optional and supported on higher timeframes). Additionally optional Keltner Channels Cloud added to help confirming the price actions.
What to look for:
Plotted labels can be used to follow the Elliott Wave occurrences and most importantly they can be considered as signals for possible trade setup opportunities. Elliott Wave Rules and Fibonacci Retracement/Extensions are suggested to confirm the patters provided by the EWO-S
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
P-MACD by DGTPrice and Moving Averages Convergence/Divergence, shortly named as P-MACD
P-MACD is a trend-following momentum indicator that shows the relationship between Price and Long-term Moving Average (PMACD), and the relationship between two Moving Averages (MAMACD). P-MACD is composed of two lines, and an histogram, showing price distance (convergence/divergence) to its Long-term MA (PMACD), showing short-term MA distance (convergence/divergence) to long-term MA (MAMACD), and a histogram showing the difference (momentum) between the PMACD and MAMACD
The PMACD is calculated by dividing the Price to Long-term Moving Average (200-period SMA/EMA) and finally smoothed with 9-period SMA/EMA
- PMACD Line Formula : (Price / SlowMovingAverage -1) * 100 and smoothed with 9-period SMA/EMA
The MAMACD is calculated by dividing the Short-term Moving Average (such as 20 SMA/EMA) to the Long-term Moving Average (such as 200-period SMA/EMA)
- MAMACD Line Formula : (FastMovingAverage / SlowMovingAverage -1) * 100
The Histogram is calculated by subscripting PMACD and MAMACD
- Formula : PMACD - MAMACD
Optional
Trend Cloud calculated based on fast and slow version of MAMACD
What to look for:
- Line Crosses : PMACD Line can function as a trigger(signal) for buy and sell signals. Buy when the PMACD crosses above the MAMACD line and sell - or short - when the PMACD crosses below the MAMACD line
- Base Crosses : PMACD and/or MAMACD crosses above or below Baseline is another way to indicate the trend and momentum. MAMACD crosses of Baseline, MAMACD positive or negative, reflects short-term moving average crosses the long-term moving average and similarly, PMACD crosses of BaseLine, PMACD positive or negative, reflects price crosses a long-term moving average
- Momentum : P-MACD helps investors understand whether the bullish or bearish movement in the price is strengthening or weakening displayed with a histogram which graphs the distance between the PMACD and MAMACD. Additionally, upward momentum is confirmed with a bullish crossover, which occurs when PMACD and/or MAMACD crosses above Baseline. Conversely, downward momentum is confirmed with a bearish crossover, which occurs when PMACD and/or MAMACD crosses below Baseline
- Distance : Prices high above the moving average (MA) or low below it are likely to be remedied in the future by a reverse price movement. The more distant the PMACD is above or below its baseline indicates that the distance between the Price and its SMA is growing (regarding PMACD, You may find a detailed article explained in “Price Distance to its MA” indicator by DGT) . Similarly the more distant the MAMACD is above or below its baseline indicates that the distance between the two SMAs is growing
- Trend : A rising P-MACD indicates an uptrend, while a declining P-MACD indicates a downtrend
MACD vs. P-MACD
MACD measures the relationship between two MAs, while the P-MACD measures both the relationship between price and its MA, and the relationship between two MAs. MAMACD Line of P-MACD If set to same moving average type and same lengths as in MACD will produce the same line as MACD line, only values are represented as percentage with MAMACD. Both measure momentum in a market, but, because they measure different factors, they differentiate from each other even if they have similarities in presentation. P-MACD provides additional insights, not only to MA relation but also to Price and MA relation
Warning : Moving Average are calculated based on past prices, so they are lagging. The longer the time period for the moving average, the greater the lag as well as less sensitive to price changes. This study implements usage of 200-period long-term moving average, which implies that the P-MACD will provide insight especially for long-term trades, more suited for long-term trades, usage of P-MACD for short-term trades is recommend with lower timeframes (1H or lower).
Indicators aim to generate a potential signal/indication of an upcoming opportunity, but, the Indicators themselves do not guarantee the future movement of a given financial instrument, and are most useful when used in combination with other techniques.
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
HTF Candlestick Patterns [TradingView] vX by DGTCandlesticks are graphical representations of price movements for a given period of time. They are commonly formed by the opening, high, low, and closing prices of a financial instrument. They have their origins in the centuries-old Japanese rice trade and have made their way into modern day price charting.
It’s important to note that candlestick patterns aren’t necessarily a buy or sell signal by themselves. They are instead a way to look at market structure and a potential indication of an upcoming opportunity. It is always useful to look at candlestick patterns in context like any other market analysis tool and candlestick patterns are most useful when used in combination with other techniques. There are countless candlestick patterns that traders can use to identify areas of interest on a chart, where some candlestick patterns may provide insights into the balance between buyers and sellers, others may indicate a reversal, continuation, or indecision.
Reversal patterns are quite useful when used in context. Reversal patterns should form at the bottom of a downtrend or at the top of an uptrend. Otherwise, they are not a reversal patterns, but continuation patterns. Most reversal patterns require confirmation such as price move in the direction of reversal accompanied by appropriate trading volume. The reversal patterns can further be confirmed through other means of traditional technical analysis—like trend lines, momentum, oscillators, or volume indicators—to reaffirm buying or selling pressure. The patterns themselves do not guarantee that the trend will reverse. Investors should always confirm reversal by the subsequent price action before initiating a trade.
This study implements some of the most commonly used candlestick patterns in a context with directional movement indicator. On request users can adjust the strong trend threshold from dialog box, eighter can disabled correlation with directional movement indicator. To add additional sight to analysis the simple moving averages of 20, 50, 100 and 200 periods are added (configurable)
You may add additional indicators of your choice. Colored DMI, BB Cloud or Price Distance to its MAs may help
Enjoy it!
Disclaimer: The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
VAMA Volume Adjusted Moving AverageRichard Arms' Volume Adjusted Moving Average
Settings:
• Inp Avg Vol: Input - Purist method but not intended for live analysis, to retroactively alter MA curve enter Avg Vol from value shown on label into Use Avg Vol field.
• Inp Avg Vol: Current - Live method using current volume , to retroactively alter past MA curve toggle any setting back and forth to force recalculation.
• Inp Avg Vol: Subset - Similar to Current, but uses a subset rather than all bars for avg vol.
• Use Avg Vol - Used for Inp Avg Vol: Input mode. Enter volume from Avg Vol label here after each new bar closes, label will turn green, else red.
• Subset Data - Lookback length used for Inp Avg Vol: Subset mode.
• VAMA Length - Specified number of volume ratio buckets to be reached.
• Volume Incr - Size of volume ratio buckets.
• VAMA Source - Price used for volume weighted calculations.
• VAMA Strict - Must meet desired volume requirements, even if N bars has to exceed VAMA Length to do it.
• Show Avg Vol Label - Displays label on chart of total chart volume.
Notes: VAMA was created by Richard Arms. It utilizes a period length that is based on volume increments rather than time. It is an unusual indicator in that it cannot be used in some platforms in realtime mode as Arms had originally intended. VAMA requires that the average volume first be calculated for the entire chart duration, then that average volume is used to derive the variable adaptive length of the moving average. The consequence of this is that with each new bar, the new average volume alters the moving average period for the entire history. Since Pine scripts evaluate all historical bars only once upon initial script execution, there is no way to automatically shift the previous moving average values retroactively once a new bar has formed. Thus the historical plot of the moving average cannot be updated in realtime, but instead can only plot through previous bar that existed upon load or reinitialization through changing some setting.
Setting Use Avg Vol to Input mode the average volume through previous bar shown in label can be entered (input) into the Inp Avg Vol setting after each new bar closes. Entering this total chart volume forces the script to reevaluate historical bars which in turn allows the historical moving average to update the plot. When using Input mode the color of the label is green when Inp Avg Vol value matches current label value, the label color red signifies Inp Avg Vol value has not been entered or is stale.
Setting Use Avg Vol to Current mode allows the script to correctly calculate and plot the correct moving average upon initial load and the realtime moving average moving forward, but can not retroactively alter the plot of the past moving average unless some change is made in the script settings, such as toggling the Use Avg Vol from Current to some other choice and then back to Current .
Setting Use Avg Vol to Subset mode uses a rolling window of volume data to calculate the average volume and can be used in realtime, but should be noted it is a deviation from Richard Arms' original specification.
VAMA info: "Trading Without Fear" by Richard W Arms, Jr, www.fidelity.com
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
Dual SuperTrend, Ichimoku and DMI Color Weighted by DGTThis study interprets SuperTrend with Ichimoku Cloud, one of the popular technical analysis indicator, and interprets Directional Movement (DMI), which is another quite valuable technical analysis indicator.
Then combines the interpreted SuperTrend with interpreted Directional Movement (DMI) and Volume Based Colored Bars indicator created by Kıvaç ÖZBİLGİÇ (permission has been granted from the author)
Here are details of the concept applied
1- SuperTrend Line colored based on Ichimoku Cloud
Definition
The Ichimoku Cloud, developed by Goichi Hosoda and published in the late 1960s, is a collection of technical indicators that give it a unique capacity to show support and resistance levels, momentum and trend direction
What Does the Ichimoku Cloud Tells?
The overall trend is up when price is above the cloud, known as Kumo Cloud, down when price is below the Kumo Cloud, and trendless or transitioning when price is in the Kumo Cloud
When Senkou Span A (Leading Span A) is rising and above Senkou Span B (Leading Span B), this helps confirm the uptrend and space between the lines is typically colored green. When Senkou Span A is falling and below Senkou Span B, this helps confirm the downtrend. The space between the lines is typically colored red
Traders often use the Kumo Cloud as an area of support and resistance depending on the relative location of the price. The Kumo Cloud provides support/resistance levels that can be projected into the future. This sets the Ichimoku Cloud apart from many other technical indicators that only provide support and resistance levels for the current date and time
Crossovers, also known as TK Cross among Ichimoku Cloud traders, are another way the indicator can be used. Watch for the Tenkan-Sen Line, or Conversion Line, to move above the Kijun-Sen Line, or Base Line, especially when price is above the Kumo cloud. This can be a powerful buy signal. One option is to hold the trade until the Tenkan-Sen drops back below the Kijun-Sen Line. Any of the other lines could be used as exit points as well.
With this study:
Allow Traders to use the Ichimoku Cloud in conjunction with other technical indicators to maximize their risk-adjusted returns
The Ichimoku Cloud can make a chart look busy with all the lines. To Remedy this a different approach is applied in this study showing the Price and the Kumo Cloud relation as well as TK Crosses displayed. The SuperTrend Indicator is chosen to display Ichimoku Indicator, where the SuperTrend is another trend following indicator.
How it works:
SuperTrend Line is colored as:
Green when the Price is above the Kumo Cloud
Red when the Price is below the Kumo Cloud
Black when the Price is within the Kumo Cloud
And Finally Blue when the Kumo Cloud Is not ready to be drawn or not Kumo Cloud available
Additionally intensity of the colors used in all cases above are defined by values of Tenkan-Sen and Kijun-Sen Line, which allows us to detect TK Crosses
2- Plots Colored Directional Movement Line
Definition
Directional Movement (DMI) (created by J. Welles Wilder ) is actually a collection of three separate indicators combined into one. Directional Movement consists of the Average Directional Index (ADX) , Plus Directional Indicator (+D I) and Minus Directional Indicator (-D I) . ADX's purposes is to define whether or not there is a trend present. It does not take direction into account at all. The other two indicators (+DI and -DI) are used to compliment the ADX. They serve the purpose of determining trend direction. By combining all three, a technical analyst has a way of determining and measuring a trend's strength as well as its direction.
This study combines all three lines in a single colored shapes series plotted on the top of the price chart indicating the trend strength with different colors and its direction with triangle up and down shapes.
What to look for
Trend Strength : Analyzing trend strength is the most basic use for the DMI. Wilder believed that a DMI reading above 25 indicated a strong trend, while a reading below 20 indicated a weak or non-existent trend
Crosses : DI Crossovers are the significant trading signal generated by the DMI
With this study
A Strong Trend is assumed when ADX >= 25
Bullish Trend is defined as (+D I > -DI ) and (ADX >= 25), which is plotted as green triangle up shape on top of the price chart
Bearish Trend is defined as (+D I < -DI ) and (ADX >= 25), which is plotted as red triangle down shape on top of the price chart
Week Trend is assumed when 17< ADX < 25, which is plotted as black triangles up or down shape, depending on +DI-DI values, on top of the price chart
Non-Existent Trend is assumed when ADX < 17, which is plotted as yellow triangles up or down shape, depending on +DI-DI values, on top of the price chart
Additionally intensity of the colors used in all cases above are defined by comparing ADX’s current value with its previous value
3- Volume Based Colored Bars indicator created by Kıvaç ÖZBİLGİÇ
Volume Based Colored Bars colors the bars into volume weighted signals increasing the visibility of the Volume changes. Intensity of the colors of the bars varies according to average value of the volume for given length of bars (default value set to 30 bars)
Disclaimer: The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
Colored Directional Movement and Bollinger Band's Cloud by DGTThis study combines Bollinger Bands, one of the most popular technical analysis indicators on the market, and Directional Movement (DMI), which is another quite valuable technical analysis indicator.
Bollinger Bands used in conjunction with Directional Movement (DMI) may help getting a better understanding of the ever changing landscape of the market and perform more advanced technical analysis
Here are details of the concept applied
1- Plots Bollinger Band’s (BB) Cloud colored based on Bollinger Band Width (BBW) Indicator’s value
Definition
Bollinger Bands (created by John Bollinger ) are a way to measure volatility . As volatility increases, the wider the bands become and similarly as volatility decreases, the gap between bands narrows
Bollinger Bands, in widely used approach, consist of a band of three lines. Likewise common usage In this study a band of five lines is implemented
The line in the middle is a Simple Moving Average (SMA) set to a period of 20 bars (the most popular usage). The SMA then serves as a base for the Upper and Lower Bands. The Upper and Lower Bands are used as a way to measure volatility by observing the relationship between the Bands and price. the Upper and Lower Bands in this study are set to two and three standard deviations (widely used form is only two standard deviations) away from the SMA (The Middle Line), hence there are two Upper Bands and two Lower Bands. The background between two Upper Bands is filled with a green color and the background between two Lower Bands is filled with a red color. In this we have obtained Bollinger Band’s (BB) Clouds (Upper Cloud and Lower Cloud)
Additionally the intensity of the color of the background is calculated with Bollinger Bands Width ( BBW ), which is a technical analysis indicator derived from the standard Bollinger Bands indicator. Bollinger Bands Width, quantitatively measures the width between the Upper and Lower Bands. In this study the intensity of the color of the background is increased if BBW value is greater than %25
What to look for
Price Actions : Prices are almost always within the bands especially at this study the bands of three standard deviations away from the SMA. Price touching or breaking the BB Clouds could be considered as buying or selling opportunity. However this is not always the case, there are exceptions such as Walking the Bands. “Walking the Bands” can occur in either a strong uptrend or a strong downtrend. During a strong trend, there may be repeated instances of price touching or breaking through the BB Clouds. Each time that this occurs, it is not a signal, it is a result of the overall strength of the move. In this study in order to get a better understanding of the trend and add ability to perform some advanced technical analysis Directional Movement Indicator (DMI) is added to be used in conjunction with Bollinger Bands.
Cycling Between Expansion and Contraction : One of the most well-known theories in regards to Bollinger Bands is that volatility typically fluctuates between periods of expansion (Bands Widening : surge in volatility and price breaks through the BB Cloud) and contraction (Bands Narrowing : low volatility and price is moving relatively sideways). Using Bollinger Bands in conjunction with Bollinger Bands Width may help identifying beginning of a new directional trend which can result in some nice buying or selling signals. Of course the trader should always use caution
2- Plots Colored Directional Movement Line
Definition
Directional Movement (DMI) (created by J. Welles Wilder ) is actually a collection of three separate indicators combined into one. Directional Movement consists of the Average Directional Index (ADX) , Plus Directional Indicator (+D I) and Minus Directional Indicator (-D I) . ADX's purposes is to define whether or not there is a trend present. It does not take direction into account at all. The other two indicators (+DI and -DI) are used to compliment the ADX. They serve the purpose of determining trend direction. By combining all three, a technical analyst has a way of determining and measuring a trend's strength as well as its direction.
This study combines all three lines in a single colored shapes series plotted on the top of the price chart indicating the trend strength with different colors and its direction with triangle up and down shapes.
What to look for
Trend Strength : Analyzing trend strength is the most basic use for the DMI. Wilder believed that a DMI reading above 25 indicated a strong trend, while a reading below 20 indicated a weak or non-existent trend
Crosses : DI Crossovers are the significant trading signal generated by the DMI
With this study
A Strong Trend is assumed when ADX >= 25
Bullish Trend is defined as (+D I > -DI ) and (ADX >= 25), which is plotted as green triangle up shape on top of the price chart
Bearish Trend is defined as (+D I < -DI ) and (ADX >= 25), which is plotted as red triangle down shape on top of the price chart
Week Trend is assumed when 17< ADX < 25, which is plotted as black triangles up or down shape, depending on +DI-DI values, on top of the price chart
Non-Existent Trend is assumed when ADX < 17, which is plotted as yellow triangles up or down shape, depending on +DI-DI values, on top of the price chart
Additionally intensity of the colors used in all cases above are defined by comparing ADX’s current value with its previous value
Summary of the Study:
Even more simplified and visually enhanced DMI drawing comparing to its classical usage (may require a bit practice to get used to it)
As said previously, to get a better understanding of the trend and add ability to perform some advanced technical analysis Directional Movement Indicator (DMI) is used in conjunction with Bollinger Bands.
PS: Analysis and tests are performed with high volatile Cryptocurrency Market
Source of References : definitions provided herein are gathered from TradingView’s knowledgebase/library
Disclaimer: The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
eha Moving Averages StrategyMoving Average based strategies are very popular ones among both long-term investors and short-term traders as they can be tailored to any time frame. One of the main moving average strategies are crossovers. The very simple type is a price crossover , which is when the price crosses above or below a moving average to signal a potential change in trend.
Another strategy is to apply two moving averages to a chart: one longer (or slow) and one shorter (or fast). When the shorter-term MA crosses above the longer-term MA, it's a buy signal, as it indicates that the trend is shifting up (also known as “ Golden Cross ”). Meanwhile, when the shorter-term MA crosses below the longer-term MA, it's a sell signal, as it indicates that the trend is shifting down (which is also known as “ Dead/Death Cross ”).
This is a study to find a suitable trading strategy for 4-6 hour time frames. As you can see the performance is currently very poor. It has just generated almost 90 trades in a very long period from January 2017 to the time of publishing the study for the first time.
Moving averages work quite well in strong trending conditions but poorly in choppy or ranging conditions. Adjusting the time frame can correct this problem temporarily, although, at some point, these issues are likely to occur regardless of the time frame chosen for the moving average(s).
I am working on this basic strategy to make its performance better and I will update the post in the future. So keep in touch by following the post.
Why have I republished my study?
It sounds like TradingView stores and indexes scripts based on the title of the post rather than the actual title of the scripts and if one chose general terms as the title of the post, the TradingView script search engine may be unable to find it. So I decided to repost the strategy with a more searchable and unique prefix of " eha ".
Please provide me with your precious feedback.
Trend Following Moving AveragesWhile analysing a chart, one of the biggest problem is to see if there is trend or not. While thinking about it, I found the idea to analyse moving averages in channel and their momentum according to channel width. I already published it as Trend Following Bar as you see at bottom of the chart.
How it Works?
On each bar it creates a channel by highest/lowest point of a MA. highest point is upper line and lowest point is lower line of the MA channel,
It gets highest and lowest point of last 300 bars, (say Price Channel )
If the width of MA channel is greater than certain rate of price channel then it decides there is trend
After it decided there is trend, it calculates the rate between channel and MA. Bigger result means stronger trend.
According to rate of MA channel and the price channel , MA Line becomes lighter/darker. so when you look at the MA Line's color you can see the trend strength.
Some details about my idea:
Options:
You can choose following MA types as source: EMA, SMA , RMA, WMA , VWMA
"Period to Check Trend" is the period to create MA channel. Bigger period cause more sensitivity.
"Trend Channel Rate %" is rate of price channel . Price channel created by using highest/lowest of last 300 bars. I did this to make the script works on all time frames correctly.
"Use Linear Regression" is used to get rid of noise. it may cause 1-2 bars latency.
Trend Following Bar script:
All comments are welcome!.
Enjoy!
[e2] EDS Key & AvwapThis indicator shows a Key Level Support & Resistance level and VWAP that resets on your choice of the stock's Earnings , Dividends or Splits release date.
A maximum of 8 bands calculated using a factor of the anchored VWAP's standard deviation can be displayed.
Note
The script is designed for stock-trading only.
Credits
Inspired by timwest , LazyBear 's Earnings S/R Levels and MichelT 's Earnings, Splits, Dividends scripts.
TrendLines with AlertsThis isn't my own work, hence giving it in Open Source library for others to benefit from it too.
I have tried to refin the output of trendlines in this Strategy
The original Code is available at
The script needs some modifications, so I'll be making further updates in future, but for now I'm publishing this because most people don't know how to track trandlines, moreover, some use Line.New() by tradingview Pinescript, which again is a bit difficult to deal with.
This script is a basic version of trendlines on a certain angle (anglecheck was provided by the original author in his script).
Nothing fancy in this script.
Also Converted the original Script to Pinescript v4.
Market Adaptive Stop-LossI realized that the zone changes in the stoploss remained slow, so I couldn't make enough use of the characteristics of technical indicators when opening positions.
This pushed me to keep stop-loss under the influence of a dependent variable.
This script helped me a lot (everget) :
I've redesigned the stop-loss to be affected by intersections.
Therefore, this script is also suitable for adaptive moving averages, fractional periods.
Script features:
1.You can select calculation methods created by using various technical analysis methods from the scripts' settings:
-Moving Average Convergence Divergence ( Macd )
-Stochastic Oscillator ( Stoch )
-Stochastic Relative Strength Index (StochRSI)
-Stochastic Money Flow Index (StochMFI ) (More info : )
-Know Sure Thing ( KST )
-OBV ( On Balance Volume )
-SMA ( Simple Moving Average )
-EMA ( Exponential Moving Average )
-FISHERTRANSFORM ( Fisher Transform )
-AWESOMEOSCILLATOR( Awesome Oscillator )
-PSAR ( Parabolic Stop and Reverse - Parabolic SAR )
-HULLMA( Hull Moving Average )
-VWMA ( Volume Weighted Moving Average )
-RMA (Moving Average using in Relative Strength Index calculations.)
-COG (Center of Gravity )
-ACC-DIST ( Accumulation / Distribution Index )
2 - The region is determined according to the above calculation methods and if it is larger or smaller than the previous stop loss level.
And if the price in the negative zone is lower than the stoploss, it is the exact signal and is shown with more highlighted colors.
And, in the positive zone, where the price is greater than the stoploss, the trade zones are certain.
Shown with more highlighted colors.
If the zones are correct but stop-loss is not suitable for opening positions:
In other words, if the stop-loss is above/under the highest-lowest levels in the positive zone or if the stop loss is located in the lower zone in the negative zone, these zones are shown to be darker and dimmed so that they do not cause false movements.
*** SUMMARY : As a result, you can use this script with support and resistances,and trend lines to get good results.
I hope it helps in your analyzes. Best regards.
Smooth Moving Average Ribbon [STUDY] @PuppyTherapyThe Smooth moving average ribbon script is an enhancement of the script I posted yesterday. But will help you also create a very simple trend-following strategy or a simple trend-following filter.
You are able to select from a large variety of moving averages add Heikin Ashi Candles as a source and also add additional smoothing to every single of the moving averages.
The Study script is equipped with alerts.
It is a showcase that a simple strategy like buy when we going up and sell when we going down actually works especially on a bigger timeframe.
Thanks to all supporters and everget for some of the moving average scripts.
Bollinger and Tendencies (Bollinger e Tendências )The strategy consists of buying when the price breaks up (crossover) the bottom line of the Bollinger and selling when the price breaks down (crossunder) to your top line.
The chart still shows trends clearly, with the fill between the exponential average and the closing value of the canlestick, green at high, red at low (this part of the script is based on the code: "Pivot Daily Price Color" by Rimko).
It also places notes on the high and low candlesticks (based on the code: "Candlesticks Pattern Identified" by Repo32).
It is recommended to use it in conjunction with the "IFR and Storage" script (also available to me), and some volume script.
A estratégia consiste em comprar quando o preço rompe para cima (crossover) a linha inferior do Bollinger e vender quando o preço rompe para baixo (crossunder) a sua linha superior.
O gráfico ainda mostra as tendências de forma clara, com o preenchimento entre a média exponencial e o valor de fechamento do canlestick, verde em alta, vermelho em baixa (essa parte do script é baseada no código: "Pivot Daily Price Color" do usuário: Rimko).
Também, coloca apontamentos nos candlesticks de alta e de baixa (baseado no código: "Candlesticks Pattern Identified" do usuário Repo32).
Recomenda-se a utilização em conjunto com o script "IFR e Estocagem" (também por mim disponibilizado), e algum script de volume.
Help with SMA Crossover Demo scriptHi I'm currently in the process of learning to write a script. Here's a very basic SMA 34/4 crossover script. Is somebody able to help me with adding the following functions to the script.
1. Add an alert and indicator to close a short or long trade whenever any candle touches the SMA 34 line?
2. When a SMA 34/4 Crossover has been executed (a Short Trade condition) add an alert/indicator (Titled “Add”) every time a Green bullish candle has closed.
3. When a SMA 34/4 Crossunder has been executed (a Long Trade condition) add an alert/indicator (Titled “Add) every time a Red bearish candle has closed.
4. To used on 15m/30m/1hr/2hr/4hr/1D/1W timeframe charts?
BarstateThe TradingView system has two types of bars. Bars that are historical and bars that are real-time.
When programming complex scripts and strategies that use higher timeframe data there can be difficult programming conditions due to these two bar states.
Especially in the case of after-hours, end of day, low volume trading and thinly traded stocks the bar state status can sometimes be historical and sometimes be real-time in different timeframes or even the same timeframe.
This script displays what state a bar is in by shading the background of the chart.
The script is being made publicly available to help my script users know about and understand 'barstate'. The script allows users to see the 'barstate' in order to help report bugs and conduct their own workarounds.
My testing has indicated that the 'barstate' status is sometimes spurious especially on thinly traded symbols. Additionally, the Tradingview back-end calls the script only after price changes to reduce system load. As a result, these two characteristics can cause unexpected Pine Script results.
Crinkebine
November 2018
MACD Strategy- Script Example how to use % SL in your script ** Tired of Script showing a trade that you stopped out on but is still long on your script? Not any more**
I used Pine script to create realistic trading scenarios for SL users. Now your scripts will reflect what you see on the order book.
a=0.0
a := (*Insert buy condition*)? close: nz(a )
plot(0.98*a, color= green) //2%SL for BUY
b=0.0
b:= (*Insert Short condition*) ? close: nz(b )
plot(1.02*b, color= red) //2% SL for Short
Please check the script on how to implement this :)
Top Bottom Finder Public version- Jayy This script plots a 6 algos from the Coles/Hawkins "Midas Technical Analysis" book:
Top finder / Bottom Finder (Levine Algo by Bob English)* - onlinelibrary.wiley.com
MIDAS VWAP Gen-1) -
MIDAS VWAP average and deltas
VWAP (Gen-1) using a date or a bar n number can be initiated at bar 0 - useful for a new IPO
Standard Deviation of MIDAS VWAP
MIDAS Displacement Channels (Coles) - edmond.mires.co
An%20Anchored%20VWAP%20Channel%20For%20Congested%20Markets.pdf
* for better results with topfinder and bottomfinder use the companion TB-F Matcher script.
See wiki for a synopsis: en.wikipedia.org
Relevant info can be found in: Midas Technical Analysis: A VWAP Approach to Trading and Investing in Today’s Markets by
Andrew Coles, David G. Hawkins Copyright © 2011 by Andrew Coles and David G. Hawkins.
Appendix C: TradeStation Code for the MIDAS Topfinder/Bottomfinder Curves ported to Tradingview
This script requires a working understanding of "Midas Technical Analysis" Google "Midas Technical Analysis" and a variety of information will appear.
To find fit the curve as described in the Midas book a companion script is required that will after a few manual iterative inputs guide you to the appropriate D value for the for input into this program ( see the TB-F Matcher script). You might also try the Midas average and Deltas as described in the book. I have added the 2nd, 3rd and 4th multiples of Delta.
The advantage is that there is no curve fitting. You still need to select a starting point for Midas or the topfinder bottomfinder (TB_F)
or the VWAP.
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
See the notes in the script below
Cheers Jayy
Securities day session - Opening-Range- Jayy Opening Range (OR) for regular daytime session eg NYSE 0 930hrs to 1600 hrs.
This is not for Forex sessions which is addressed in a separate script.
This script fixes two issues:
syntax error when code compiles
flaky plotting of the opening range and targets that required page reloading
Additions:
In this code there are more more opening range time period choices at the bottom of the format dialogue box
Opening Range Targets:
Opening Range Targets as per Leaf_West
Targets are set at 127% , 162%, 200 %, 262 %, 362%, 423%, 685%, 1109% and 1794% and this can be traded intraday using methods described at charts-by-leaf.com I also have some Leaf West PDFs that describe how the targets are set and how they are traded. There are others that use opening range.
See the notes in the script for more detail.
My first opening range script originated from work done by Chris Moody. This script has changed significantly but there are small remnants of Chris Moody's script lurking within.
This script is available to all.
Cheers Jayy
[LAVA] Relative Price DifferenceThis script shows the relative price difference based off the last high and low, so many bars ago. Bollinger bands are also included by default for closer inspection on the intensity of the movement or the lack thereof. Bollinger bands will follow the smoothed line which will allow the reactionary line to cross the boundary during an intense movement. With the colors selected, a gray color will appear after the color to the zero line to announce a deep correction is possible. Buy/Sell indicators show up as crosses to indicate when the price is moving in a certain direction. Sideways stagnation will have several crosses due to the close proximity to the zero line.
I use 21 in the demo here without the bollinger bands or buy/sell indicators to show the power of the script to identify bottoms and tops using the tips and hand drawn trendlines.
(This script is actually the same script as before, but listed here as the final version. Hopefully this will be my last update with this script.)
If you use and enjoy this script, please like it!
Cryptolabs Global Liquidity Cycle Momentum IndicatorCryptolabs Global Liquidity Cycle Momentum Indicator (LMI-BTC)
This open-source indicator combines global central bank liquidity data with Bitcoin price movements to identify medium- to long-term market cycles and momentum phases. It is designed for traders who want to incorporate macroeconomic factors into their Bitcoin analysis.
How It Works
The script calculates a Liquidity Index using balance sheet data from four central banks (USA: ECONOMICS:USCBBS, Japan: FRED:JPNASSETS, China: ECONOMICS:CNCBBS, EU: FRED:ECBASSETSW), augmented by the Dollar Index (TVC:DXY) and Chinese 10-year bond yields (TVC:CN10Y). This index is:
- Logarithmically scaled (math.log) to better represent large values like central bank balances and Bitcoin prices.
- Normalized over a 50-period range to balance fluctuations between minimum and maximum values.
- Compared to prior-year values, with the number of bars dynamically adjusted based on the timeframe (e.g., 252 for 1D, 52 for 1W), to compute percentage changes.
The liquidity change is analyzed using a Chande Momentum Oscillator (CMO) (period: 24) to measure momentum trends. A Weighted Moving Average (WMA) (period: 10) acts as a signal line. The Bitcoin price is also plotted logarithmically to highlight parallels with liquidity cycles.
Usage
Traders can use the indicator to:
- Identify global liquidity cycles influencing Bitcoin price trends, such as expansive or restrictive monetary policies.
- Detect momentum phases: Values above 50 suggest overbought conditions, below -50 indicate oversold conditions.
- Anticipate trend reversals by observing CMO crossovers with the signal line.
It performs best on higher timeframes like daily (1D) or weekly (1W) charts. The visualization includes:
- CMO line (green > 50, red < -50, blue neutral), signal line (white), Bitcoin price (gray).
- Horizontal lines at 50, 0, and -50 for improved readability.
Originality
This indicator stands out from other momentum tools like RSI or basic price analysis due to:
- Unique Data Integration: Combines four central bank datasets, DXY, and CN10Y as macroeconomic proxies for Bitcoin.
- Dynamic Prior-Year Analysis: Calculates liquidity changes relative to historical values, adjustable by timeframe.
- Logarithmic Normalization: Enhances visibility of extreme values, critical for cryptocurrencies and macro data.
This combination offers a rare perspective on the interplay between global liquidity and Bitcoin, unavailable in other open-source scripts.
Settings
- CMO Period: Default 24, adjustable for faster/slower signals.
- Signal WMA: Default 10, for smoothing the CMO line.
- Normalization Window: Default 50 periods, customizable.
Users can modify these parameters in the Pine Editor to tailor the indicator to their strategy.
Note
This script is designed for medium- to long-term analysis, not scalping. For optimal results, combine it with additional analyses (e.g., on-chain data, support/resistance levels). It does not guarantee profits but supports informed decisions based on macroeconomic trends.
Data Sources
- Bitcoin: INDEX:BTCUSD
- Liquidity: ECONOMICS:USCBBS, FRED:JPNASSETS, ECONOMICS:CNCBBS, FRED:ECBASSETSW
- Additional: TVC:DXY, TVC:CN10Y
VMA [Extreme Advanced Custom Table for BTCUSD]This indicator implements a Variable Moving Average (VMA) with a 33-period length—selected in homage to the Tesla 369 concept—to dynamically adjust to market conditions. It not only calculates the adaptive VMA but also displays a custom table of key metrics directly on the chart. Here’s how to use it:
Apply to Your Chart:
Add the indicator to your chart (optimized for BTCUSD, though it can be used on other symbols) and choose your desired source (e.g., close).
Customize Your Visuals:
Trend & Price Lines: Toggle the trend colors, price line, and bar coloring based on the VMA’s direction.
Channels & Slope: Enable the volatility channel and slope line to visualize market volatility and the VMA’s momentum.
Pivot Points & Super VMA: Activate pivot high/low markers for potential reversal points and a Super VMA (SMA of VMA) for an extra smoothing layer.
Table Customization: Adjust the table’s position, colors, and font sizes as needed for your viewing preference.
Monitor Key Metrics:
The dynamic table displays essential information:
VMA Value & Trend: See the current VMA and whether the trend is Bullish, Bearish, or Neutral.
Volatility Index (vI) & Slope: Quickly assess market volatility and the VMA’s slope (both absolute and percentage).
Price-VMA Difference & Correlation: Evaluate how far the price is from the VMA and its correlation.
Higher Timeframe VMA: Compare the current VMA with its higher timeframe counterpart (set via the “Higher Timeframe” input).
Alerts for Key Conditions:
Built-in alert conditions notify you when:
The trend changes (bullish/bearish).
The VMA slope becomes extreme.
The price and VMA correlation falls below a defined threshold.
The VMA crosses its higher timeframe average.
How to Use the Script:
Add to Your Chart:
Open TradingView and apply the indicator to your BTCUSD (or any other) chart.
The indicator will overlay on your chart, plotting the VMA along with optional elements such as the price line, volatility channels, and higher timeframe VMA.
Customize Your Settings:
Inputs:
Choose your data source (e.g., close price).
Adjust the VMA length (default is 33) if desired.
Visual Options:
Toggle trend colors, bar coloring, and additional visuals (price line, volatility channels, slope line, pivot points, and Super VMA) to suit your trading style.
Table Customization:
Set the table position, colors, border width, and font size to ensure key metrics are easily visible.
Higher Timeframe:
You can change the higher timeframe input (default is Daily) to better fit your analysis routine.
Interpret the Indicator:
Trend Analysis:
Watch the color-coded VMA line. A rising (orange) VMA suggests bullish momentum, while a falling (red) one indicates bearish conditions.
What Sets This Script Apart:
Dynamic Adaptation:
Unlike a fixed-period moving average, the VMA adjusts its sensitivity in real time by integrating a volatility measure, making it more adaptive to market swings.
Multi-Layered Analysis:
With integrated volatility channels, pivot points, slope analysis, and a higher timeframe VMA, this tool gives you a fuller picture of market dynamics.
Immediate Data at a Glance:
The real-time table consolidates multiple key metrics into one view, saving time and reducing the need for additional indicators.
Custom Alerts:
Pre-built alert conditions allow for timely notifications, ensuring you don’t miss critical market changes.
