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.
Cari dalam skrip untuk "MA Cross"
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.
Options Series - Technical Analysis Chart➤ Simple Technical Chart Only:
➤ With MA-20 Overlay and Volatility background bars:
➤ With RSI Candles:
⭐ Overview and How It Works:
This script provides a multi-asset analysis tool to assess various market conditions across four symbols simultaneously. It combines several indicators such as daily price change, Moving Averages (MA), Bollinger Bands (BB), Parabolic SAR, RSI, and VWAP to generate buy/sell signals and trend indicators. Its strength lies in the layered use of indicators to enhance signal reliability, making it valuable for traders needing cross-validation in decision-making.
⭐ Key Features and Functionality:
The script evaluates each symbol's price against various indicators and conditions:
Daily Price Conditions: It checks if each symbol’s close price is above or below the previous day’s open, close, and intra-day ranges, forming a foundational bullish/bearish condition.
Range Breakout 1st 5min Candle (ORB): Opening Range Breakout levels are calculated and compared with current close prices, detecting breakout/breakdown conditions.
ORB Body: This basically calculates the previous day Daily candle body size, if todays Daily candle body size is greater than previous day, then we can say that we are having good momentum else its likely to be in-sidebar trading.
Moving Averages (MA): It leverages EMA-20, 2-day, and 3-day exponential moving averages to gauge short to medium-term trends.
RSI and VWAP: Relative Strength Index (RSI) determines overbought or oversold conditions, while VWAP compares prices to volume-weighted levels.
Bollinger Bands and Trend Analysis: Detects volatility and potential breakout conditions.
Concept of ORB Body:
Current_PrevDay_Body = (math.max(var_Current_PrevD_Open, var_Current_PrevD_Close) - math.min(var_Current_PrevD_Open, var_Current_PrevD_Close))
Current_Upper_ORB = var_Current_D_Open + Current_PrevDay_Body
Current_Lower_ORB = var_Current_D_Open - Current_PrevDay_Body
Current_TodayDay_Body = math.max(var_Current_D_Open, var_Current_Close) - math.min(var_Current_D_Open, var_Current_Close)
Current_ORBBody = Current_TodayDay_Body > Current_PrevDay_Body
Current_Upper_ORB_bull = (var_Current_Close > Current_Upper_ORB)
Current_Lower_ORB_bear = (var_Current_Close < Current_Lower_ORB)
🎨 Visualizations and User Experience:
The script can dynamically display colored backgrounds indicating trends when conditions are met. For example, the bgcolor function changes the background when certain trend-based criteria are satisfied, offering visual cues to users. Additionally, the checkbox input toggles trend bar visualizations, enhancing user experience by providing a quick visual reference without needing to interpret individual data points manually.
RSI-Based Candle Coloring:
➤ The script customizes candle colors based on RSI thresholds, specifically defining upper (60) and lower (40) RSI levels. When the RSI value exceeds the upper threshold, candles are colored as bullish (green), and if it falls below the lower threshold, candles are colored as bearish (red). Neutral RSI values result in a default color (gray).
➤ This setup offers a visually intuitive way to identify potential trend directions based on RSI levels, making it ideal for traders looking to gauge momentum visually.
⭐ Settings and Customization:
With multiple user-configurable inputs, the script allows for tailored analysis. Customizable parameters, such as enabling/disabling trend bars and setting various look-back periods for indicators like Bollinger Bands and Moving Averages, make it adaptable to various trading styles and preferences. It also allows users to modify visual elements like colors and styles, improving flexibility.
⭐ Uniqueness of the Concept:
The unique aspect of this script is its multi-symbol approach combined with complex conditions. By comparing not only one but four symbols simultaneously, it provides a broader market view and allows traders to correlate signals across different assets, offering a potential edge for diversified or comparative strategies. Additionally, the incorporation of ORB and multi-timeframe MAs gives it a robustness often lacking in simpler single-symbol scripts.
🚀 Conclusion:
This script is a powerful multi-indicator tool suited for traders looking for a comparative, multi-symbol analysis. With features like ORB, Bollinger Band-based trend detection, and MA cross-verification, it can assist traders in identifying and validating trend signals across assets. The user-friendly visualizations and customizable settings further enhance its usability, making it versatile for various trading strategies and preferences.
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)
Dynamic ADX - [The Pine Guru]Dynamic ADX by The Pine Guru
What is the Dynamic ADX?
The Dynamic ADX is an indicator created using the regular ADX, Line, and additional ADX Moving Average. This MA allows the script to calculate the ADX differently to the original ADX, providing greater input and accessibility to the user. As the ADX is a volatility indicator, it is communicates to trend strength in the markets. The Dynamic ADX displays these trending Periods through user controlled visualizers like Fills, Background Color, and Bar Color.
How do I use the Dynamic ADX?
This indicator has 4 different "versions" or "conditions" in which it displays trend strength. These are achieved by checking and unchecking ADX, ADX MA and Line. Different combinations of these 3 inputs will result in a change of true condition that the script outputs.
Dynamic ADX Achieved by checking the ADX and ADX MA, results in an ADX similar to an MA Crossover, with the ADX being over the MA indicating a true or strong trend condition.
Regular ADX Achieved by Checking the ADX and Line. Results in the regular calculation of the ADX.
Mixture Achieved by Checking all three sections, which results in the calculation a normal ADX as well as the MA. Provides and extra condition or confluence into the ADX.
MA and Line Achieved by checking the ADX MA and Line. Results in a similar calculation to an original ADX but with a smoother MA.
Recommendations
This indicator will work typically in all markets with high volume and volatility. It is recommended that it is used as a confluence in a trading system, and not as an outright indicator. As always do your own testing before live use with this indicator. Do your own Research and refinements.
Please Leave a like if you enjoy this Indicator
Intraday JXMODI CrossCombination of two strategy.
MA Cross strategy + RSI strategy to decide whether the stock/crypto is currently overbought/oversold.
RSI alert when change from bull to bear, and vice verse.
Useful for quick entry and exit trade.
Whenever RSI Black color line Cross Red color MA line , Trend Changes.
For Bull side Trade on High of that candle & Stoploss Low of that candle in which Cross Occurs.(Green Shadow)
For Bear side Trade on Low of that candle & Stoploss High of that candle in which Cross occurs.(Red Shadow)
For more confirmation use SuperTrend etc indicators.
adx efi 50 ema channel, trend pullbackHi so this strategy is based off 50 ema channel and the 15 ma crossing it to generate signals. But with my adjusted strategy it's a 10 rma crossing 50 ema channels and a 5 and 9 wma to help see pullbacks. 50 period bollinger bands to gage volatility a0nd help during range markets. The strategy signals are generated when longer period efi is above 0 and shorter period efi is below zero and price has pulled back near 50 ema to buy long. And the reverse for shorts, I made this to help me trade more mechanically and to trade 1 minute time frame, that's where the strategy seems to Excell the most, I developed it on eur usd but a brief check seems like it still is profitable on gbp usd aud usd usd jpy I only trade the forex market so not sure about stocks and crypto. If you get signals I would place buy stops and sell stops above high and low of respective signal candle and let price take you into trade. Also adx 20 has to be greater than 20 to take trades. Let me know if this is helpful. I've only been coding for a month so it might look sloppy the way it's coded also there are a few other buy and sell conditions left in the source code if you want to switch between different buy and sell triggers, they all produce good results on 1 min timeframe
ViVen - Multi Time Frame - Moving Average StrategyHi Traders,
Indicator Description : Multiple Time Frame Moving Average lines in One Chart.
Moving Average Types : SMA, WMA, EMA
Moving Average Period : 20 Default (Variable up to 200)
MA Time Frame : 1m, 3m, 5m, 15m, 30m, 1Hr, Daily, Weekly, Monthly (All lines in one chart)
You can turn ON/OFF the moving average lines based on your requirement.
Moving Average Table : The table will give you an idea where the price is currently trading (LTP), if the price is above any of the moving average then it will show you the Price is above MA and wise versa.
Trading Method:
Monthly, Weekly, Daily and 1Hr Moving averages will tell you whether the script is in Bullish Trend or Bearish Trend.
Basically the moving averages will act as Support and Resistance Levels. With candle confirmation you can take trade.
Ready to Take Position - When 1m MA Crosses 3m MA (Upside / Downside)
BUY Strategy:
"Buy" - when 3m MA breaks 5m moving average on the upside. (Intraday/Scalp)
"Hold" - when 5m MA breaks 15m MA on the upside.
"Strong Hold" - when 15m MA breaks 1Hr MA on the upside for Long term.
"Exit" - when 3m MA breaks 5m MA on the Downside.
SELL Strategy:
"Sell" - when 3m MA breaks 5m moving average on the Downside. (Intraday/Scalp)
"Hold" - when 5m MA breaks 15m MA on the Downside. (Intraday)
"Strong Hold" - when 15m MA breaks 1Hr MA on the Downside. (Positional).
"Exit" - when 3m MA breaks 5m MA on the Downside.
If you agree with this strategy and works well please like this script, share it with your friends and Follow me for more Indicators.
In the next Version, I will come up with Strategy table that I have explained here.
Thanks for your support.
_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***
VWMA with kNN Machine Learning: MFI/ADXThis is an experimental strategy that uses a Volume-weighted MA (VWMA) crossing together with Machine Learning kNN filter that uses ADX and MFI to predict, whether the signal is useful. k-nearest neighbours (kNN) is one of the simplest Machine Learning classification algorithms: it puts input parameters in a multidimensional space, and then when a new set of parameters are given, it makes a prediction based on plurality vote of its k neighbours.
Money Flow Index (MFI) is an oscillator similar to RSI, but with volume taken into account. Average Directional Index (ADX) is an indicator of trend strength. By putting them together on two-dimensional space and checking, whether nearby values have indicated a strong uptrend or downtrend, we hope to filter out bad signals from the MA crossing strategy.
This is an experiment, so any feedback would be appreciated. It was tested on BTC/USDT pair on 5 minute timeframe. I am planning to expand this strategy in the future to include more moving averages and filters.
Coinbase to Binance premium indicator/strategy
1) Offers bar/ma chart of premium
2) Offers different trading strats based on premium(ma cross, premium value cross, smoothed premium value cross)
supersmoother code credited to someone else from tradingview
Flunki T-WAP minus MA Oscillator
Yo,
Possible the last of these for now, and mostly for the sake of completeness..
This is..
Another simple oscillator that show the difference in price between a selectable timeframe TWAP and a Moving Average of that TWAP
This is shown as a histogram.
Use numeric TWAP values for minutes (30, 60 ,720 whatever) and D, 3D, W, M for higher values
There is also a global timeframe which will set the timeframe for a global alternate timeframe (instead of current chart resolution)
On top of that is a Moving Average of the histogram value, shown as a blue / red line with an option to highlight this MA crossing zero, and an option to colour bars to this line.
The major difference between this Oscillator, and the other script (Flunki VWAP minus MA Oscillator)
(I treid to insert a link but it's invisible so it would seem, anyway.. )
is that VWAP is usually calculated daily, so there is a sharp move upon the daily close, as VWAP starts a new day. Using TWAP this does not occur, so gives smoother transitions ; also the timeframe for TWAP is selectable for additional wap fun.
Simple idea : Code open
Enjoy !
TSI HMA CCIHi!
This strategy has TSI and CCI indicators with the CCI being based on a HMA instead of the Price.
There is a number of conditions that must combine to create buy or sell signals, but it is basically a couple of MA crossovers.
The strategy opens new orders on each candle if the conditions are met, Either direction, so it is hedging.
It wont open new orders if there is a floating loss, and so is constantly attempting to hold a floating profit (drawup instead of drawdown)
But It has a StopLoss (set by user) for closing of losing orders, and it closes all orders in basket style when account is in profit to users set amount target profit.
Low commission set to simulate swap but Forex pairs generally dont have commission like the crypto exchanges do. So if you use this on cryptos, remember to increase the commission to your brokers amount.
Crypto users will likely find that because this opens so many orders the commission could erase its profits.
So i recommend this for Forex only, and perhaps, only NZDUSD 4H chart. other pairs, change settings for.
The strategy has settings for testing on target time spans, so you could test it on just Jan-Feb 2020 for example, if you want, or from Jan 2020 to present day.
Have Fun! Open Script for copy/paste/edit/publish your own version :)
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.
Combo Backtest 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.
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.
10/20 MA Cross-Over with Heikin-Ashi Signals by SchobbejakThe 10/20 MA Heikin-Ashi Strategy is the best I know. It's easy, it's elegant, it's effective.
It's particularly effective in markets that trend on the daily. You may lose some money when markets are choppy, but your loss will be more than compensated when you're aboard during the big moves at the beginning of a trend or after retraces. There's that, and you nearly eliminate the risk of losing your profit in the long run.
The results are good throughout most assets, and at their best when an asset is making new all-time highs.
It uses two simple moving averages: the 10 MA (blue), and the 20 MA (red), together with heikin-ashi candles. Now here's the great thing. This script does not change your regular candles into heikin-ashi ones, which would have been annoying; instead, it subtly prints either a blue dot or a red square around your normal candles, indicating a heikin-ashi change from red to green, or from green to red, respectively. This way, you get both regular and heikin ashi "candles" on your chart.
Here's how to use it.
Go LONG in case of ALL of the below:
1) A blue dot appeared under the last daily candle (meaning the heikin-ashi is now "green").
2) The blue MA-line is above the red MA-line.
3) Price has recently breached the blue MA-line upwards, and is now above.
COVER when one or more of the above is no longer the case. This is very important. You want to keep your profit.
Go SHORT in case of ALL of the below:
1) A red square appeared above the last daily candle (meaning the heikin-ashi is now "red").
2) The red MA-line is above the blue MA-line.
3) Price has recently breached the blue MA-line downwards, and is now below.
Again, COVER when one or more of the above is no longer the case. This is what gives you your edge.
It's that easy.
Now, why did I make the signal blue, and not green? Because blue looks much better with red than green does. It's my firm believe one does not become rich using ugly charts.
Good luck trading.
--You may tip me using bitcoin: bc1q9pc95v4kxh6rdxl737jg0j02dcxu23n5z78hq9 . Much appreciated!--
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.
Lysergik's Stochastic SynergyThis indicator shows the average Stochastic RSI output of the 15m, 1h, 2h, 4h, and Daily Stochastic RSI. It will change in its behavior depending on the time-frame you're using, but for many markets it works best on the 30m time-frame and the daily time-frame.
It is best used along with Lysergik's Fib Cross, which will allow you to avoid false signals in the stochastic synergy indicator. If your MA cross (50, 200) indicates a direction change opposite of the stochastic RSI synergy indicator then that is a signal to wait for more price action to determine your entry/exit points.
Using the Lysergik's Fib Cross, the same applies, but remember that a golden cross (white cross symbol) followed directly by a golden ratio cross (gold cross symbol) is even further indication that the stochastic RSI needs more breathing room before reversing.
This indicator is fully adjustable for you to back-test against charts and refine the indicator to your market.
The inputs in respective order are as follows:
RSI Length, Stoch Length, Smooth K, Smooth D, Upper Limit, Lower Limit, Basis
Enjoy and remember only make trades on your own terms.
Happy trading/investing! :)