Moving Average Trend█ OVERVIEW
This is a Moving Average Script that contains both a cloud and a ribbon that has independent MA-type selection.
⬆ green arrow up = up trend flip
⬇ red arrow down = down trend flip
🟢 Green Dot = Potential Long
🔴 Red Dot = Potential Short
█ CONCEPTS
1 — Cloud, like most trading algo, the cloud is made of 8 short term MA , with MA cross and MA cross (longema)
2 — Ribbon, this is by default turned off, the default values , an option in setting to change longema to look for ribbon cross
3 — Sequence, It goes from 1 – 9 at 9 the sequence resets. The sequence changes colour depending on if it’s a down trend(red) or uptrend(green) or an over extended trend (yellow)
Setup definitions
Red sell start = current close < the close 4 candles back
Yellow sell extended = current close < last close and current close < two closes back
Green buy start = current close > the close 4 candles back
Yellow buy extended = current close last close and current close < two closes back
This can help you find when it’s time to get out, or sit out of a choppy trend.
4 - Moving Average types:
sma = Simple Moving Average
ema = Exponential Moving Average
wma = Weighted Moving Average
vwma = Volume Weighted Moving Average
rma = Running Moving Average
alma = Arnaud Legoux Moving Average
hma = Hull Moving Average
jma = Jurik Moving Average
frama-o = frama
frama-m = frama mod
dema = Double Exponential Moving Average
tema = Triple Exponential Moving Average
zlema = Zero lag Exponential Moving Average
smma = Smoothed Moving Average
kma = kaufman Moving Average
tma = triangular Moving Average
gmma = Geometric Mean Moving Average
vida = Variable Index Dynamic Average
cma = Corrective Moving average
rema = Range Exponential Moving average
█ OTHER SECTIONS
• FEATURES: to describe the detailed features of the script, usually arranged in the same order as users will find them in the script's inputs.
• HOW TO USE
• LIMITATIONS: Like with any MA script there is a lag factor associated with is.
• RAMBLINGS: Experiment to your hearts content with all the MA types, I'm impartial to HMA as is
• NOTES: some of the MA's are more taxing, therefore take longer to load, be patience, this is a trimmed down version of an existing invite only script i have
在腳本中搜尋"MA Cross"
_CM_Ultimate_MA_MTF_V4***For a Detailed Video Overview Showing all of the Settings...
Click HERE to View Video
New _CM_Ultimate_MA_MTF_V4 - Update - 08-24-2021
Thanks to @SKTennis for help with code
Added Ability to Plot 1 or 2 Moving Averages - Fast MA & Slow MA
Added Ability to Plot Fast MA with Multi TimeFrame
Added Ability to Plot Slow MA with Multi TimeFrame
Added Ability to Color Fast MA Based on Slope of MA
Added Ability to Color Fast MA based on being Above/Below Slow MA
Added Ability to Plot 8 Types of Moving Averages
Simple, Exponential, Weighted, Hull, VWMA, RMA, TEMA, & Tilson T3
Added Ability to Set Alerts Based on:
Slope Change in the Fast MA Or Fast MA Crossing Above/Below Slow MA.
Added Ability to Plot "Fill" if Both Moving Averages are Turned ON
Added Ability to control Transparency of Fill
Added Alerts to Settings Pane.
Customized how Alerts work. Must keep Checked in Settings Pane, and When you go to Alerts Panel, Change Symbol to Indicator (_CM_Ultimate_MA_MTF_V4)
Customized Alerts to Show Symbol, TimeFrame, Closing Price, & Moving Average Signal Name in Alert
Alerts are Pre-Set to only Alert on Bar Close
See Video for Detailed Overview
New Updates Coming Soon!!!
***Please Post Feedback and Any Feature Requests in the Comments Section Below***
WholvolTotal Volume Of Crypto Pairs Based on TV Top Exchanges
See the whole volume with additional feature and options.
Report volume data in USD, BTC, itSelf.
See each exchange Share and Volume.
Static and Dynamic value filtering.
MAs crosses.
Note.1
Due to the pine limitations, we have selected the most important Exchanges which have valuable volume.
Note.2
When you choose to report stats in BTC unit and you have chart of altcoins, the BTC source price will extract from your pair exchange.
Note.3
When you choose to report stats in USD unit, Historical volume data worth will calculated using your entered source price BUT on Realtime data, script will use latest price(close) as source price.
Note.4
You must only select the exchanges which support your pair, otherwise you will see error.
Trend Regularity Adaptive Moving Average [LuxAlgo]The following moving average adapt to the average number of highest high/lowest low made over a specific period, thus adapting to trend strength. Interesting results can be obtained when using the moving average in a MA crossover system or as a trailing support/resistance.
Settings
Length : Period of the indicator, with higher values returning smoother results.
Src : Source input of the indicator.
Usage
The trend regularity adaptive moving average (TRAMA) can be used like most moving averages, with the advantage of being smoother during ranging markets.
Notice how the moving closer to the price the longer a trend last, such effect can be practical to have early entry points when using the moving average in a MA crossover system, such effect is due to the increasing number of average highest high/lowest low made during longer trends. Note that in the case of a significant uptrend followed by a downtrend, the moving average might penalize the start of the downtrend (and vice versa).
The moving average can also act as an interesting trailing support/resistance.
Details
The moving average is calculated using exponential averaging, using as smoothing factor the squared simple moving average of the number of highest high/lowest low previously made, highest high/lowest low are calculated using rolling maximums/minimums.
Using higher values of length will return fewer highest high/lowest low which explains why the moving average is smoother for higher length values. Squaring allows the moving average to penalize lower values, thus appearing more stationary during ranging markets, it also allows to have some consistency regarding the length setting.
🧙 this moving average would not be possible without the existence of corn syrup 🦎
Relative Momentum Index (RMI) OscillatorThe Relative Momentum Index (RMI) is a sibling to the RSI. Where the RSI measures trend based on the average (RMA) of gains and draws over a length of time , the RMI measures based on the SUM of gains and draws . Myself and many others have found that the RMI oscillates better than the RSI does.
I paired the RMI with the oscillation method the Fisher Transformation uses to oscillate the value from -1.0 to 1.0 instead of the Stochastic way of 0 to 100. This way you can enable the Fisher transform, if desired. But I also just prefer the appearance of that.
Some options and features I have coded in-
RMI Length: This is the length of the Relative Momentum Index itself. Like the length of RSI, default 14
Oscillation Length: This is your oscillation length, like a Stochastic. If you put the length at 1 it will turn the indicator into the straight up RMI indicator. (If you select to use the Fisher Transform, the overbought/oversold lines will not show nicely)
Source Pre-Smoothing: The option of smoothing out the source, ie close, before you even run it through the RMI, oscillation, and/or transform
Oscillator Post-Smoothing: The option of smoothing the output of the script
Trailing MA: If desired, you can check the box to Use a Trailing Signal, and enter the length of lookback for a Simple Moving Average (SMA) of the RMI Osc value
Use Fill Colors on MA: If enabled, it will fill the area between the RMI Osc and the trailing MA. I chose to use colors that are similar to some educational ideas I have published, whereby nearing the bottom of the oscillation you get Green to signal Accumulation, and near the top you get Red to signal Distribution. Following red is Black, where you typically get late signal sellers that Capitulate and sell stops trigger. Blue is where traders tend to Chase price up.
The most primitive way of using this indicator would be sell when the value exceeds the overbought/top line and buy when it falls below the oversold/bottom line. You can find ways to use the fill colors, or MA crossovers, rising lows or rising highs, etc. for signals.
Here's a comparison of this indicator to the Stochastic RSI, using similar values-
Here's showing the indicator on intraday values at defaults with some pre- and post-smoothing-
Same thing, but with Fisher Transform enabled-
And an example of the fill bands in action-
Please feel free to use any part of this code as desired.
BUY/SELL Moving Average StrategyThis script allows you to use 2 moving averages a slow and a fast MA (e.g. 200 & 50). You are able to define the length of both MA and you can change the moving average type: Simple Moving Average (SMA) or Exponential Moving Average (EMA). The script will plot a SELL signal if the slow MA crosses over the fast MA and it will plot a BUY signal if the slow MA crosses under the fast MA. You are also able to define alerts for the BUY & SELL signals.
Combo Strategy 123 Reversal & EMA & MA Crossover This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The Moving Average Crossover trading strategy is possibly the most popular
trading strategy in the world of trading. First of them were written in the
middle of XX century, when commodities trading strategies became popular.
This strategy is a good example of so-called traditional strategies.
Traditional strategies are always long or short. That means they are never
out of the market. The concept of having a strategy that is always long or
short may be scary, particularly in today’s market where you don’t know what
is going to happen as far as risk on any one market. But a lot of traders
believe that the concept is still valid, especially for those of traders who
do their own research or their own discretionary trading.
This version uses crossover of moving average and its exponential moving average.
WARNING:
- For purpose educate only
- This script to change bars colors.
Point and Figure (PnF) Moving Averages HistogramThis is live and non-repainting Point and Figure Chart Moving Average Histogram tool. The script has it’s own P&F engine and not using integrated function of Trading View.
Point and Figure method is over 150 years old. It consist of columns that represent filtered price movements. Time is not a factor on P&F chart but as you can see with this script P&F chart created on time chart.
P&F chart provide several advantages, some of them are filtering insignificant price movements and noise, focusing on important price movements and making support/resistance levels much easier to identify.
Moving averages on Point & Figure charts are based on the average price of each column while bar chart moving averages are based closing price. Average Price means (ClosePrice + OpenPrice) / 2.
Because of there is double smoothing, you should use shorter lengths for moving averages. Double smoothing means: using average price smooths once, using length greater than 2 smooths price second time.
If you are new to Point & Figure Chart then you better get some information about it before using this tool. There are very good web sites and books. Please PM me if you need help about resources.
Options in the Script
Box size is one of the most important part of Point and Figure Charting. Chart price movement sensitivity is determined by the Point and Figure scale. Large box sizes see little movement across a specific price region, small box sizes see greater price movement on P&F chart. There are four different box scaling with this tool: Traditional, Percentage, Dynamic (ATR), or User-Defined
4 different methods for Box size can be used in this tool.
User Defined: The box size is set by user. A larger box size will result in more filtered price movements and fewer reversals. A smaller box size will result in less filtered price movements and more reversals.
ATR: Box size is dynamically calculated by using ATR, default period is 20.
Percentage: uses box sizes that are a fixed percentage of the stock's price. If percentage is 1 and stock’s price is $100 then box size will be $1
Traditional: uses a predefined table of price ranges to determine what the box size should be.
Price Range Box Size
Under 0.25 0.0625
0.25 to 1.00 0.125
1.00 to 5.00 0.25
5.00 to 20.00 0.50
20.00 to 100 1.0
100 to 200 2.0
200 to 500 4.0
500 to 1000 5.0
1000 to 25000 50.0
25000 and up 500.0
Default value is “ATR”, you may use one of these scaling method that suits your trading strategy.
If ATR or Percentage is chosen then there is rounding algorithm according to mintick value of the security. For example if mintick value is 0.001 and box size (ATR/Percentage) is 0.00124 then box size becomes 0.001.
And also while using dynamic box size (ATR or Percentage), box size changes only when closing price changed.
Reversal : It is the number of boxes required to change from a column of Xs to a column of Os or from a column of Os to a column of Xs. Default value is 3 (most used). For example if you choose reversal = 2 then you get the chart similar to Renko chart.
Source: Closing price or High-Low prices can be chosen as data source for P&F charting.
Options for P&F Bollinger Bands:
MA Type: MA type can be EMA or SMA
MA Source: Moving averages on P&F charts are based on the average price of each column. Bar chart moving averages are based on each close price. Average price means “(ClosePrice + OpenPrice) / 2”. You can choose Close Price or Average Price as source. Default is Average Price.
Fast MA Length : Length of Fast Moving average, shorter length than Slow MA
Slow MA Length : Length of Slow Moving average, greater length than Slow MA
There are alerts when Fast MA Crossed over/under Slow MA conditions. While adding alert “Once Per Bar Close” option should be chosen.
Sexy RSI for sexy tradersHello fellow sexy traders.
I was tired of constantly having to add my own horizontals/MAs to the default RSI so I decided to make this modification.
The default settings include channels from 40-80 (green horizontals) for a bullish range, and 20-60 (red horizontals) for the bearish range.
Also includes white line at 50 level, and blue horizontals at extremes (90 and 10).
If RSI stays in one of the red or green range that can signify the trend direction, as directed by Andrew Cardwell (inventor of the RSI).
If you wish for other levels to be included, just let me know! Comment on here or dm me on twitter @boss_charts and I can add the settings for you, so all you have to do is click a button and it will set it to your desired config. I want this to be a tool that is useful for heavy traders to save them time.
Additionally, in order to tell the level of the RSI and how overextended it might be, I added the setting for the RSI to change color depending on its level. Current settings are as follows:
Normal RSI (30-70) = PURPLE
Conventional Overbought/Oversold (30-20 + 70-80) = RED
1st extended (20-15 + 80-85) = PINK
2nd extended (15-10 + 85-90) = ORANGE
VERY EXTENDED (<10 + >90) = YELLOW
That way you can get an idea of how drastic a move is by the color alone. According to Dr. Cardwell, a drastic move to over/under extended can be a sign of strength.
Finally, there are the default MAs added that Mr. Cardwell defines as useful for defining the trend. These being the 9 MA and 45 EMA/WMA.
The strategy with these is to have the MAs on both price and RSI. If the 9MA is above the 45 MA on both price and RSI, then this is bullish and you can look for longs.
Conversely, if the 9 is below the 45 on both RSI and price that is bearish, and you can look for shorts.
I added the background color change for the points where the MAs cross each other, so you do not have to have the MAs fogging up your charts to know where they are relative to one another. This is similar to my MA cross indicator which contains the same functionality.
Never financial advice. Backtest it for yourself and find MA configurations that work for you.
Enjoy! Feel free to send feedback/requests whenever.
Candlestick normalizer + MA's Crossing SignalingWell, after 25 tries I finally did it ._.
Here is the candlestick normalizer I was trying to achieve. In this way you can do a fast and not biased by price candlestick analysis, for example to catch engulfish and doji's on the go ;)
I also added a MAs crossing-over signal I optimized.
Btw, I will try to add volume signaling on this indicator. I had been thinking in 2 options:
1) Maybe as a colour/unfilled bar when volume exceed average
2) Represent the volume on the width of the candlestick.
What do you prefer? Let me know.
I hope you enjoy it!
Phi it.
Volume Weighted MACD + x-SignalingThis is a script I remade from 2 previous TDuser's scripts.
Thanks community for sharing, I hope you find it useful.
φ!
EMA & MA Crossover The Moving Average Crossover trading strategy is possibly the most popular
trading strategy in the world of trading. First of them were written in the
middle of XX century, when commodities trading strategies became popular.
This strategy is a good example of so-called traditional strategies.
Traditional strategies are always long or short. That means they are never
out of the market. The concept of having a strategy that is always long or
short may be scary, particularly in today’s market where you don’t know what
is going to happen as far as risk on any one market. But a lot of traders
believe that the concept is still valid, especially for those of traders who
do their own research or their own discretionary trading.
This version uses crossover of moving average and its exponential moving average.
Event-Based Multi MA v1.1📈 Event-Based Multi MA v1.1 — Smart Trading with Dynamic MA Updates
Overview
In a world where most moving averages blindly follow every candle, Event-Based Multi MA v1.1 introduces a smarter logic:
➡️ Update moving averages only when significant price movements occur.
Forget the noise. Focus on what's important.
This indicator recalculates your moving averages only after meaningful price shifts, allowing you to spot true trends and avoid market whipsaws.
Key Features
✅ Event-Driven Logic
Set events based on:
Points: Absolute price change
Percent: Relative price movement
ATR: Volatility-adjusted dynamic movement
✅ Seven Fully Customizable Moving Averages (MA1–MA7)
Each MA offers:
Custom timeframe
Selection of types (EMA, SMA, WMA, VWMA, HMA, LSMA, DEMA, TEMA, ALMA, RMA)
Adjustable lengths and colors
✅ Reduced Market Noise
MAs adjust only after important price actions — cutting down lag and false signals.
✅ Multi-Timeframe Analysis
You can blend moving averages from different timeframes (e.g., 15m, 1H, Daily) into a single chart — perfect for professional multi-frame strategy building.
Settings Explained
Event Trigger Type: Select Points, Percent, or ATR-based movement.
Event Threshold: The amount of price movement needed to trigger a new calculation.
ATR Length: If ATR mode is selected, this controls the sensitivity.
Each Moving Average (MA1 to MA7) has:
MA Type: Choose the smoothing method that suits your trading style.
Length: The number of bars used in the calculation.
Color: Customize visual styling.
Timeframe: Load MAs from different timeframes into your current chart.
How to Use It in Trading
🔹 Trend Confirmation
Wait for event-triggered updates. Fresh MAs after a significant move are much stronger signals than constantly refreshing MAs.
🔹 Momentum Breakouts
Combine short-term (e.g., MA1, MA2) and long-term (e.g., MA5, MA6) MAs. When short-term MAs cross above/below long-term after an event, it's a powerful breakout cue.
🔹 Dynamic Support/Resistance
Use slow-moving MAs like 100-200 length across different timeframes.
The event-based recalculation keeps them relevant to recent major price moves.
🔹 Volatility Filters
Switch to ATR-based events to adapt moving average updates during volatile periods and calm markets.
Why It Beats Traditional Moving Averages
🚀 No More Overfitting to Every Candle
You focus only on impactful price changes.
🚀 Multi-Timeframe Flexibility
Blend micro and macro views seamlessly in one chart.
🚀 Cleaner Signals, Less Noise
Event-triggered recalculations filter out useless minor price wobbles.
🚀 Customization Beyond Standard MAs
TEMA, HMA, ALMA, DEMA, VWMA — all included for ultra-fine-tuned strategies.
✨ Ready to Upgrade Your Trading?
Forget the old, slow MAs.
Use intelligence. Trade events, not noise.
→ Add Event-Based Multi MA v1.1 to your chart and experience true precision!
STH Unrealized Profit/Loss Ratio (STH-NUPL) | [DeV]STH-NUPL
The Short-Term Holder Net Unrealized Profit/Loss Ratio (STH-NUPL) is an analytical tool designed to approximate the unrealized profit or loss of Bitcoin’s short-term holders (STHs)—typically those holding coins for less than 155 days—within the constraints of TradingView’s price-based environment. Drawing inspiration from the canonical STH-NUPL metric, which assesses the difference between the market value and realized value of STH-held coins, this indicator adapts the concept into a normalized ratio using Bitcoin’s price data as a proxy. It offers a window into the sentiment and behavior of short-term market participants, who are often more sensitive to price fluctuations than long-term holders.
In its raw form, STH-NUPL oscillates around a break-even threshold of 0, where positive values indicate aggregate unrealized profits for STHs (market value exceeds realized value), and negative values suggest losses. This inflection point frequently acts as a key level: in bear markets, it can signal capitulation as STHs sell at break-even or below, while in bull markets, it may reflect reluctance to realize losses, providing support. The indicator enhances this metric with smoothing, a moving average overlay, and sophisticated visualization options, delivering a statistically informed perspective on short-term holder dynamics tailored for institutional-grade analysis.
STH-NUPL Settings -
Lookback Length (Default: 150 days): Defines the SMA period for estimating realized value. This 150-day window aligns with traditional STH definitions (e.g., <155 days), capturing a broad yet relevant historical cost basis for short-term holders, ideal for assessing cyclical behavior.
Smoothing Period (Default: 5 days): Applies an EMA to the raw STH-NUPL ratio, with a short default period to maintain responsiveness to recent price shifts while filtering out daily volatility. This setting is particularly suited for tactical analysis.
Moving Average Settings -
MA Lookback Length (Default: 90 days): Sets the period for the STH-NUPL’s moving average, offering a medium-term trend signal that contrasts with the 150-day lookback, enabling detection of momentum shifts within broader market phases.
MA Type (Default: EMA): Provides six moving average types, from the straightforward SMA to the volume-sensitive VWMA. The default EMA balances smoothness and reactivity, while options like HMA or VWMA cater to specialized needs, such as emphasizing recent action or volume trends.
Display Settings -
Show Moving Average (Default: True): Toggles the visibility of the STH-NUPL MA plot, allowing users to focus solely on the smoothed ratio when desired.
Show Background Colors (Default: True): Activates dynamic background shading to visually reinforce market regimes.
Background Color Source (Default: STH-NUPL): Enables users to tie the background to either the STH-NUPL’s midline (reflecting sthNupl > 0) or the MA’s trend direction (maNupl > maNupl ), aligning the visual context with the chosen analytical focus.
Analytical Applications -
Bear Market Capitulation: When the smoothed STH-NUPL approaches or falls below zero, it often signals loss realization among STHs, a precursor to capitulation in downtrends. A declining MA crossing zero can confirm this selling pressure.
Bull Market Support: Positive STH-NUPL values with a rising MA indicate STHs are in profit and reluctant to sell at a loss, forming support zones in uptrends as sell pressure wanes.
Sentiment Extremes: Significant deviations above or below zero highlight over-optimism or despair among STHs, offering contrarian opportunities when paired with price action or other on-chain metrics.
**Limitations**
As a TradingView-based approximation, this indicator uses price data (close) rather than true on-chain STH supply and realized price, which are available through providers like Glassnode. The 150-day SMA for realized value simplifies the cost basis, potentially underrepresenting the diversity of STH transactions. Despite this, the smoothed ratio and moving average overlay provide a practical proxy for tracking STH sentiment within TradingView’s ecosystem.
Spent Output Profit Ratio (SOPR) Z-Score | [DeV]SOPR Z-Score
The Spent Output Profit Ratio (SOPR) is an advanced on-chain metric designed to provide deep insights into Bitcoin market dynamics by measuring the ratio between the combined USD value of all Bitcoin outputs spent on a given day and their combined USD value at the time of creation (typically, their purchase price). As a member of the Realized Profit/Loss family of metrics, SOPR offers a window into aggregate seller behavior, effectively representing the USD amount received by sellers divided by the USD amount they originally paid. This indicator enhances this metric by normalizing it into a Z-Score, enabling a statistically robust analysis of market sentiment relative to historical trends, augmented by a suite of customizable features for precision and visualization.
SOPR Settings -
Lookback Length (Default: 150 days): Determines the historical window for calculating the Z-Score’s mean and standard deviation. A longer lookback captures broader market cycles, providing a stable baseline for identifying extreme deviations, which is particularly valuable for long-term strategic analysis.
Smoothing Period (Default: 100 days): Applies an EMA to the raw SOPR, balancing responsiveness to recent changes with noise reduction. This extended smoothing period ensures the indicator focuses on sustained shifts in seller behavior, ideal for institutional-grade trend analysis.
Moving Average Settings -
MA Lookback Length (Default: 90 days): Sets the period for the Z-Score’s moving average, offering a shorter-term trend signal relative to the 150-day Z-Score lookback. This contrast enhances the ability to detect momentum shifts within the broader context.
MA Type (Default: EMA): Provides six moving average types, from the simple SMA to the volume-weighted VWMA. The default EMA strikes an optimal balance between smoothness and responsiveness, while alternatives like HMA (Hull) or VWMA (volume-weighted) allow for specialized applications, such as emphasizing recent price action or incorporating volume dynamics.
Display Settings -
Show Moving Average (Default: True): Toggles the visibility of the Z-Score MA plot, enabling users to focus solely on the raw Z-Score when preferred.
Show Background Colors (Default: True): Activates dynamic background shading, enhancing visual interpretation of market regimes.
Background Color Source (Default: SOPR): Allows users to tie the background color to either the SOPR Z-Score’s midline (reflecting adjustedZScore > 0) or the MA’s trend direction (zScoreMA > zScoreMA ). This dual-source option provides flexibility to align the visual context with the primary analytical focus.
Analytical Applications -
Bear Market Resistance: When the Z-Score approaches or exceeds zero (raw SOPR near 1), it often signals resistance as sellers rush to exit at break-even, a pattern historically observed during downtrends. A rising Z-Score MA crossing zero can confirm this pressure.
Bull Market Support: Conversely, a Z-Score dropping below zero in uptrends indicates reluctance to sell at a loss, forming support as sell pressure diminishes. The MA’s bullish coloring reinforces confirmation of renewed buying interest.
Extreme Deviations: Values significantly above or below zero highlight overbought or oversold conditions, respectively, offering opportunities for contrarian positioning when paired with other on-chain or price-based metrics.
SemaforThis is the 4 Level Semafor indicator with Daily Open Line and Average Session Range. Also on the chart is the EMA Ribbon indicator.
Credit to:
Devlucem for the Semafor indicator
Quantvue for the Average Session Range
Shusterivi for the Daily Open Line
MYNAMEISBRANDON for the EMA Ribbon
The Semafors are based on the ZigZag indicator and show higher highs/lower lows of a specified period, determined by the user and applied in settings.
The default periods I use are:
10 period (hidden on this chart)
50 period-blue dots
250 period-white dots
615 period-black dots
Just as the ZigZag indicator will recalculate so to will the semafors, as additional candles are built. The semafor indicator is never to be used as a stand alone signal. It must be combined with other indicators to be used effectively. What we look for are the semafor patterns of a large white dot followed by a 1st blue dot opposite of the white. Then a 2nd blue dot in agreement with the white dot. In theory, the 2nd blue dot is seen as confirmation of the establishment of the white semafor..
When combined with Daily Open Line, ADR (Average Sessions Range), EMA cross and VWAP anchored to your 250 semafors, your odds are greatly increased. Add to that the knowledge of basic market structure and the wisdom that comes from patience and you have a very powerful weapon.
The Daily Open...I trade the M1 chart and also draw a H4 Open Line on my chart for the smaller time frames. Price will tend to trade away from the Daily Open Line. In many cases until it reaches certain levels...Fib, Gann, ADR, etc., then runs through a pullback cycle. I like the ADR levels. The ADR can give clues when entering a consolidation phase, ie trading between the buy side and sell side 15% levels. Trading away from the Daily Open(or H4 open) along with breaking the 15% level, while in agreement with a semafor pattern is a good sign.
Add to that confluence the agreement of your MA cross and the 250 semafor Anchored VWAP and you have a solid signal to help determine your actions. This trend following layout will work on any time frame. I just really like the M1 for its precision, not for crazy back and forth all day. With the exception of some strong pull back signals, I don't enter any more trades on the M1 than on M5, 15 or 30.
This is based on and follows the teachings of Xard and his trading strategy. Just as I don't want to take anyone's credit for these indicators, I won't take credit for what I have been taught either.
The trader can obviously use their favorite MA cross indicator. But this one is visually beautiful AND displays the current time frame and 1 time frame higher on the chart...awesome!
Of note, I do run into trouble at times with the 615 period semafor. I have been told it is because TradingView has trouble with extended period indicators. As a matter of fact, I would like a much higher period for my biggest semafor. I would like it set at 1250, but that seems to be a no starter. If anyone has a solution, that would be welcomed news.
Plot background depending on Index EMA 10 and EMA 20This indicator gives the user an easy way to check the conditions of the market.
Up market should be good for breakout traders.
Down market should be good for breakdown shortsellers
The others should be good for pullback buyers.
This script automaticlly check which index should be used for the depending on which ticker is view. If no match is found indicator will use IXIC as reference.
The script works for Nordic and US stocks.
"OMXSPI"
"OBX"
"OMXSPI"
"OMXHPI"
"OMXCPI"
"IXIC"
It then alculated the EMA10 and EMA20 for the index and plots the background depending on 6 differnet conditions.
EMA10 below EMA20 and EMA10 and EMA20 is sloping down. //Down market
EMA10 above EMA20 and EMA10 and EMA20 is sloping up. //Up market
EMA10 below EMA20 and EMA10 sloping up and EMA20 is sloping down. //First indication by market to move up
EMA10 above EMA20 and EMA10 sloping down and EMA20 is sloping up. //First indication by market to move down
EMA10 below EMA20 and EMA10 sloping up and EMA20 is sloping up. //Possible MA cross over
EMA10 below EMA20 and EMA10 sloping down and EMA20 is sloping down. //Possible MA cross over
RedK DIY ZLMA: Customizable Zero-Lag MA (Educational / Utility)This script is more of an educational / utility piece rather than a fully-fledged indicator - It provides an easy way to customize and produce a zero-lag Moving average that can then be used in various scenarios
What is DIY_ZLMA?
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The DIY ZLMA is for fans and enthusiasts of researching Moving Averages (like me) - the script enables the user to play around with one of the common approaches used to reduce lag in moving averages - which was explained in this old post below
Suggested uses of the DIY_ZLMA
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* The Zero-lag approach here applies 3 moving average passes to a source data series - I'll refer to these 3 passes as Base MA Pass , De-lagging Pass, and Smoothing Pass - these "passes" can be customized from the indicator settings in terms of MA Length and type. The first pass allows the choice of a "source", and the second pass allows additional fine tuning by playing around with the magnification factor. The 3rd pass (smoothing) is optional and can be skipped altogether when needed. (as noted in the script, HMA and TEMA, which are very common low-lag MA's use slightly different approach in the calculation than the one used here .. so we can't get an equivalent of either of these MA's with the customization of DIY_ZLMA parameters)
* After the user experiments with the various settings for the 3 passes, and finds a "preferred combination", the script not only plots the resulting My_ZLMA - it also produces the "1-line Pine script formula" that the user can then use in any other script, maybe to smoothen some data series, or to combine with other types of moving averages to create multi-MA cross-over trading signals... and so on.
* The DIY_ZLMA can also be added to another indicator as a signal line using the Indicator-on-Indicator feature of TradingView (review this post for step-by-step -->
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* the script also showcases couple of recent (and very neat) Pine features: the use of User-defined Types (UDT) and User-defined Methods - which are awesome and a lot of fun to work with :)
Since this is more of a utility piece, I added as many comments as possible to the script to explain the way it works - so it's more valuable if someone finds it by searching the "Add Indicator" feature in TradingView charts
Please feel free to play around with this new toy :) and share comments and feedback below if you find this useful. I truly hope you do.
Hodrick-Prescott Channel [Loxx]Hodrick-Prescott Channel is a fast and slow moving average that moves inside a channel. Breakouts are when the fast ma crosses up over the slow ma and breakdowns are the opposite. The white moving average is the fast ma, the slow moving average is the red/green ma.
What is Hodrick–Prescott filter?
The Hodrick–Prescott filter (also known as Hodrick–Prescott decomposition) is a mathematical tool used in macroeconomics, especially in real business cycle theory, to remove the cyclical component of a time series from raw data. It is used to obtain a smoothed-curve representation of a time series, one that is more sensitive to long-term than to short-term fluctuations. The adjustment of the sensitivity of the trend to short-term fluctuations is achieved by modifying a multiplier Lambda.
The filter was popularized in the field of economics in the 1990s by economists Robert J. Hodrick and Nobel Memorial Prize winner Edward C. Prescott, though it was first proposed much earlier by E. T. Whittaker in 1923.
There are some drawbacks to use the HP filter than you can read here: en.wikipedia.org
Included
Bar coloring
Signals
Alerts
BTC Pi MultipleThe Pi Multiple is a function of 350 and 111-day moving average. When both intersect and the 111-day MA crosses above, it has historically coincided with a cycle top with a 3-day margin.
With the Pi Multiple, this intersection is visible when the line crosses zero upwards.
The indicator is called the Pi Multiple because 350/111 is close to Pi. It is based on the Pi Cycle Top Indicator developed by Philip Swift and has been modified for better readability by David Bertho.
GoGoGadget MA RibbonMoving Average Ribbon with defaults for day-trading
8, 21, 50 EMAs
MA cross(over/under) markers
MA cross(over/under) alert conditions preconfigured
Reversal time periods highlight background or add labels for periods on standard days when reversals are likely (mainly useful for SPY or QQQ)
Money Flow Index (double) by CoinStaghey Piners community,
this is an iteration of inbuilt MFI script, with two MFIs of different lengths and one Moving Average which is dependent on MFI 1.
I find it useful to see the trend of longer MFI period, which tells me what direction to trade. On shorter period MFI I'm looking at Oversold or Overbought zones - while quicker MFI index is there, I'm looking to Buy/Sell, depending on trend.
Alternatively, you can use also MFI1 and MA crossovers to spot potential entries.
It seems like a good tool for crypto markets on any timeframes - from 5min, to 4h.
