RSI Crossover Signal Companion - Alerts + Visuals🔷 RSI Crossover Signal Companion — Alerts + Visuals
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of recent price movements. It helps traders identify overbought or oversold conditions, possible trend reversals, and momentum strength.
This utility builds on TradingView’s classic Relative Strength Index (RSI) by adding real-time alerts and triangle markers when the RSI crosses its own moving average — a common technique for early momentum detection.
It is designed as a lightweight, visual companion tool for traders using RSI/MA crossover logic in manual or semi-automated strategies.
🔍 Features
✅ Preserves the full original RSI layout, including:
• Gradient fill and overbought/oversold zones
• Standard RSI input settings (length, source, etc.)
• MA smoothing options with user-defined type and length
🔺 Adds visual triangle markers:
🔼 Up triangle when RSI crosses above its MA
🔽 Down triangle when RSI crosses below its MA
📢 Built-in alerts for RSI/MA crosses:
“RSI Crossed Above MA”
“RSI Crossed Below MA”
📈 How to Use
This script is ideal for:
• Spotting early momentum shifts
• Confirming entries or exits in other systems (price action, trendlines, breakouts)
• Building alert-based automation (webhooks, bots, etc.)
Popular use cases:
• Combine with trend indicators like MA200 or MA12
• Use in confluence with price structure and divergence
• Validate breakout moves with momentum confirmation
⚙️ Customization
RSI length, MA length, MA type, and source are fully adjustable
Triangle marker size, shape, and color can be edited under Style
Alerts are pre-built and ready for use
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Ultimate Moving Average Crossover Indicator by SAMQUANT📈 Ultimate Moving Average Crossover Indicator | All-in-One MA Strategy
Unlock the power of multiple moving averages in one versatile indicator designed to give you clear, actionable signals in any market condition.
📌 Key Features:
- Supports **all major moving averages**:
- **SMA, EMA, WMA, HMA, RMA, DEMA, TEMA**, and more.
- Each MA is **fully customizable** with different lengths and types for ultimate flexibility.
- **Binary Long/Short signals** based on crossover logic—perfect for alerts, strategies, or discretionary trading.
- **Dynamic background coloring**:
- **Green** for bullish trends
- **Red** for bearish trends
Quickly gauge market direction at a glance.
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🚀 Why Use This Indicator?
✅ Combines the strength of all major MA types
✅ Customizable to fit any trading style—scalping, swing, or trend following
✅ Built-in alerts ready for your next trade
✅ Visually intuitive with built-in signal clarity
✅ Excellent tool for **confluence-based** strategies
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Great trades start with great tools. Clarity, precision, and flexibility—this indicator brings it all to your charts. Trade smarter, not harder.
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> ⚠️ **Disclaimer:**
This script is intended for **educational and informational purposes only**. It does not constitute financial advice. Past performance is not indicative of future results. Always practice sound risk management and test strategies thoroughly before using real capital.
EMA Crossover Signal (15min)📈 EMA Crossover Signal (15min)
This indicator generates Buy and Sell signals based on a simple yet effective Exponential Moving Average (EMA) crossover strategy, strictly evaluated on the 15-minute timeframe.
✅ Strategy:
Buy Signal: Triggered when the 5 EMA crosses above the 10 EMA.
Sell Signal: Triggered when the 5 EMA crosses below the 10 EMA.
📌 Features:
Signals are evaluated using 15-minute data, regardless of your current chart timeframe.
Clear Buy/Sell labels are displayed directly on the chart.
Optional plotting of the 5 EMA and 10 EMA from the 15-minute chart for visual confirmation.
This tool is ideal for traders who want to follow short-term momentum shifts with high clarity and precision.
Prev Day High EMA Crossover with 7-Day SMA Trailing StopPrev Day High EMA Crossover with 7-Day SMA Trailing Stop
Overview
This indicator is designed for traders who seek high-probability breakout trades using a combination of Exponential Moving Averages (EMAs), the previous day's high, and a 7-day Simple Moving Average (SMA) trailing stop. It helps identify bullish and bearish crossover signals while ensuring confirmation with price action above or below key levels.
How It Works
1. Entry Signals:
✅ Bullish Entry:
The 9 EMA crosses above the 15 EMA (bullish momentum).
The price is above the previous day’s high (confirming a breakout).
The candle closes above the open (bullish confirmation).
✅ Bearish Entry:
The 9 EMA crosses below the 15 EMA (bearish momentum).
The price is below the previous day’s high (confirming a failure to break higher).
The candle closes below the open (bearish confirmation).
2. Exit Strategy (Trailing Stop):
📌 Long Exit: If in a long trade, exit when the price closes below the 7-day SMA.
📌 Short Exit: If in a short trade, exit when the price closes above the 7-day SMA.
VWAP and MA Crossover SignalsDescription: The VWAP and 20 MA Crossover Indicator is a powerful trading tool designed to capitalize on trend reversals and momentum shifts. This indicator overlays two key technical analysis tools on the price chart: the Volume Weighted Average Price (VWAP) and the 20-period Moving Average (MA).
Functionality:
VWAP: Represents the average price a security has traded at throughout the day, based on volume and price. It is a measure of the market's trend and trading volume.
20 MA: Offers a smoothed average of the closing prices over the last 20 periods, providing a glimpse of the underlying trend.
Signals:
Buy Signal: Generated when the VWAP crosses above the 20-period MA, suggesting an upward momentum and a potential bullish trend reversal.
Sell Signal: This occurs when the VWAP crosses below the 20-period MA, indicating a downward momentum and a potential bearish trend reversal.
Usage: This indicator is ideal for traders focusing on intraday and swing trading strategies, providing clear visual cues for entry and exit points based on the interaction between VWAP and the 20 MA. By identifying key crossover points, traders can make informed decisions about potential bullish or bearish movements in the market.
Application: To use this indicator, simply add it to your TradingView chart setup. The buy and sell signals will be displayed directly on the chart, allowing for easy interpretation and quick action. Adjust the settings to fit your specific trading strategy or market conditions.
Simplified MA Crossover indicatorThis is my first script, it is really simple logic and you probably saw something similar before. Is a crossover indicator between 2 Moving Average, one fast MA and the second slow MA.
Inputs you can adjust:
- 8 different source of MA's
- lenght of the MA's
- 7 different types of MA's ("EMA", "SMA", "RMA", "WMA", "DEMA", "TEMA", "HMA")
- 3 smoothing level of the fast MA
- plotting fast MA into the chart
- plotting crossover triangle shapes
I really enjoed the creation of this simple concept indicator, maybe not the fastest because of his nature but I liked work on it. I am sure is a good base to improve, study and try new idea.
Custom Candle Body Color and EMA Crossover IndicatorWe determine if the price is below EMA 9 by comparing the close price with EMA 9.
We determine if the current candle body is huge compared to the previous candle's body.
We plot EMA 9 in black color and EMA 200 in green color.
We plot blue triangles below the bars for EMA crossover above and red triangles above the bars for EMA crossover below.
We set the color of the candle body to red if the price is below EMA 9 and to green if the price is above EMA 9, only when the current candle body is huge compared to the previous candle's body.
RSI SMA Crossover StrategyOverview
RSI SMA Crossover Strategy works the same way as traditional MA crossover strategies, but using RSI instead of price. When RSI crosses over the SMA, a long position is opened (buy). When RSI crosses under the SMA, the long position is closed (sell).
This strategy can be very effective when the right inputs are used (see below). Be sure to use the backtesting tool to determine the optimal parameters for a given asset/timeframe.
Inputs/Parameters
RSI Length: length for RSI calculation (default = 50)
SMA Length: length for SMA calculation (default = 25)
Strategy Properties
Initial Capital = $1000
No default properties are defined for Slippage, Commission, etc, so be sure to set these values to get accurate backtesting results. This script is being published open-source for a reason - save yourself a copy and adjust the settings as you like!
Backtesting Results
Testing on Bitcoin (all time index) 1D chart, with all default parameters.
$1,000 initial investment on 10/07/2010 turns into almost $2.5 billion as of 08/30/2022 (compared to $334 million if the initial investment was held over the same period)
Remember, results can vary greatly based on the variables mentioned above, so always be sure to backtest.
LoTek - CT Moving Average Crossover Indicator - MTF [CT/LoTek]This is a shameless fork of Caretaker's excellent CT MAC indicator. This indicator has 2 new features. I've added the ability to select a different timeframe for each moving average. This way you can set a Daily 10, or a weekly 20 or any other of your favorite lines and it will always be there on your chart. The other new features is the ability to select VWMA as well as SMA and EMA for each moving average. VWMA is pretty nice to watch as well, and with 9 moving averages to mix and match, I'm sure you'll find something worth keeping.
To fork this, I created a new "resolution" variable for each MA. I also created a new function that uses the request.security call to get the specific timeframe resolution. I backtested this with CT's OG script and the numbers stay the same... but I have a sneaky suspicion that VWMAs are not showing proper crossover values. So keep that in mind. The drawn lines are fine, but the crossover data when using VWMA may be off. I wrote the new function to default to EMA, so if it fails at VWMA, it will just show you EMA data.
Let's see, what else... please tell me if you find any bugs or want any other features baked in.
EMA crossover (daily TF)This strategy is only applicable for daily timeframe only. EMAs have been smoothened out to make sure to include volatility glitches that may occur. I have used following conditions:
>EMA crossover of two frames already occurred
> Significant volume in the candle
> Candles are properly bullish or bearish not doji
> price is near EMA crossover
> trading stoploss to reduce risk as price follows the trend
Positive feedbacks are welcome for incorporation.
NSE:SRF
MA Crossover Alerts for Small Quick Profits on 3commas/DCA botDear fellow 3commas users,
This is a the most basic Moving Average crossover technique generating Buy Alerts.
This is especially written for those of you who want to link this basic crossover strategy with your 3commas DCA bot .
Buy Alerts
Moving averages available:
- Simple Moving Average (SMA)
- Exponential Moving Average (EMA)
- Weighted Moving Average (WMA)
- Hull Moving Average (HullMA)
- Volume Weighted Moving Average (VMWA)
- Running Moving Average (RMA)
- Triple Exponential Moving Average (TEMA)
Recommended settings for using with 3commas DCA bot:
Interval:
3m to 15m
3commas bot setup:
- TP/TTP: 0.3%/0.1%,
- Base Order: Your choice ,
- Safety Order: 1.2 * Base order
- Safety Order Volume Scale: 1.2,
- Safety Order Step Scale: 1.5,
- Max Active Deals: Your choice ,
- Price Deviation to Open Safety Order (% from initial order): 0.2%,
- Max Safety Trades Count: 7,
- Simulatenous Deals per Same Pair: 3
> Create Alert with Buy Alert and link it to your bot "Message for deal start signal"
EMA Cross StrategyThis double EMA crossover strategy aims to illustrate a good strategy design.
It is currently the only published script that:
supports a proper date picker for the backtest period
is able to test in short and long mode only
Dual Colored Least Squares Moving Average + Crossover AlertsDual Least Squares Moving Averages
Flexible Options (On/Off):
- Color change based on slope
- Background color change based on the slope of the slow moving average (LSMA 2).
- Crossover Arrows
- Crossover Alerts
How to Use on Your Own Chart & How to Set Alerts:
1. Click Add to Favorites
2. Add indicator to your chart, Click add Indicators > Favorites > Click on Dual LSMA
3. Click Add Alert, Select the condition Dual LSMA, then choose Long LSMA or Short LSMA
4. Click Create Alert
Let me know if it's useful for you! Also, if you have any new ideas and strategies based on this indicator, let me know. I love to hear (and learn) from all of the brilliant minds out there!
CryptoSignalScanner - Advanced Moving Averages - Cross & RainbowDESCRIPTION:
With this script you can plot 6 moving averages.
You can decide which Moving Average you want to show or hide.
For every plot you can decide to display the Simple Moving Average ( SMA ) or Exponential Moving Average ( EMA ).
It provides CrossOver and CrossUnder labels when loading the script. Those labels you can show or hide.
You have the possibility to show or hide the rainbow colors. This rainbow function gives you a clear view of the current trend.
HOW TO USE:
• When one Moving Average crosses above another Moving Average it signals an uptrend.
• When one Moving Average crosses below another Moving Average it signals a downtrend.
• The higher to length of the Moving Average the stronger the trend.
FEATURES:
• You can show/hide the preferred Moving Averages.
• You can set the length, type and source for every Moving Average.
• You can show/hide the rainbow colors.
• You can show/hide the CrossUp labels.
• You can show/hide the CrossDown labels.
• You can set alerts for every Moving Average.
• Etc...
DEFAULT SETTINGS:
• MA1 => EMA5
• MA2 => EMA10
• MA3 => EMA20
• MA4 => SMA50
• MA5 => SMA100
• MA6 => SMA200
Simple Moving Average vs. Exponential Moving Average:
SMA and EMA are calculated differently. The exponential moving average ( EMA ) focuses more on recent prices than on a long series of data points, as the simple moving average required.
The calculation makes the EMA quicker to react to price changes and the SMA react slower. That is the main difference between the two.
One is not necessarily better than another. It comes down to personal preference. Plot an EMA and SMA of the same length on a chart and see which one helps you make better trading decisions.
Moving Average Trading Strategies:
The first strategy is a price crossover, when the price crosses above or below a moving average, it signals a potential change in trend.
The second strategy applies when one moving averages crosses another moving average.
• When the short-term MA crosses above the long-term MA, it signals a buy signal.
• When the short-term MA crosses below the long-term MA, it signals a sell signal.
REMARKS:
• This advice is NOT financial advice.
• We do not provide personal investment advice and we are not a qualified licensed investment advisor.
• All information found here, including any ideas, opinions, views, predictions, forecasts, commentaries, suggestions, or stock picks, expressed or implied herein, are for informational, entertainment or educational purposes only and should not be construed as personal investment advice.
• We will not and cannot be held liable for any actions you take as a result of anything you read here.
• We only provide this information to help you make a better decision.
• While the information provided is believed to be accurate, it may include errors or inaccuracies.
If you like this script please donate some coins to share your appreciation.
Good Luck,
SEOCO
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.
SSL Crossover + MA choiceThis indicator builds on the SSL channel code by ErwinBeckers @
I have added options for diff MA's to be used in the SSL channel and crossover indicators for buy/sell signals
default MA is set to Arnaud Legaux, but you can set it to whatever you like - original was a Simple Moving Average by ErwinBeckers
The indicator will not repaint as the signals are drawn after close of crossover candles
Let me know if you have any suggestions - happy to add more functionality
Parametric Corrective Linear Moving AveragesImpulse responses can fully describe their associated systems, for example a linearly weighted moving average (WMA) has a linearly decaying impulse response, therefore we can deduce that lag is reduced since recent values are the ones with the most weights, the Blackman moving average (or Blackman filter) has a bell shaped impulse response, that is mid term values are the ones with the most weights, we can deduce that such moving average is pretty smooth, the least squares moving average has negative weights, we can therefore deduce that it aim to heavily reduce lag, and so on. We could even estimate the lag of a moving average by looking at its impulse response (calculating the lag of a moving average is the aim of my next article with Pinescripters) .
Today a new moving average is presented, such moving average use a parametric rectified linear unit function as weighting function, we will see that such moving average can be used as a low lag moving average as well as a signal moving average, thus creating a moving average crossover system. Finally we will estimate the LSMA using the proposed moving average.
Correctivity And The Parametric Rectified Linear Unit Function
Lot of terms are used, each representing one thing, lets start with the easiest one,"corrective". In some of my posts i may have used the term "underweighting", which refer to the process of attributing negative weights to the input of a moving average, a corrective moving average is simply a moving average underweighting oldest values of the input, simply put most of the low lag moving averages you'll find are corrective. This term was used by Aistis Raudys in its paper "Optimal Negative Weight Moving Average for Stock Price Series Smoothing" and i felt like it was a more elegant term to use instead of "low-lag".
Now we will describe the parametric rectified linear unit function (PReLU), this function is the one used as weighting function and is not that complex. This function has two inputs, alpha , and x , in short if x is greater than 0, x remain unchanged, however if x is lower than 0, then the function output is alpha × x , if alpha is equal to 1 then the function is equivalent to an identity function, if alpha is equal to 0 then the function is equivalent to a rectified unit function.
PReLU is mostly used in neural network design as an activation function, i wont explain to you how neural networks works but remember that neural networks aim to mimic the neural networks in the brain, and the activation function mimic the process of neuron firing. Its a super interesting topic because activation functions regroup many functions that can be used for technical indicators, one example being the inverse fisher RSI who make use of the hyperbolic tangent function.
Finally the term parametric used here refer to the ability of the user to change the aspect of the weighting function thanks to certain settings, thinking about it, it isn't a common things for moving averages indicators to let the user modify the characteristics of the weighting function, an exception being the Arnaud Legoux moving average (ALMA) which weighting function is a gaussian function, the user can control the peak and width of the function.
The Indicator
The indicator has two moving averages displayed on the chart, a trigger moving average (in blue) and a signal moving average (in red), their crosses can generate signals. The length parameter control the filter length, with higher values of length filtering longer term price fluctuations.
The percentage of negative weights parameter aim to determine the percentage of negative weights in the weighting function, note that the signal moving average won't use the same amount and will use instead : 100 - Percentage , this allow to reverse the weighting function thus creating a more lagging output for signal. Note that this parameter is caped at 50, this is because values higher than 50 would make the trigger moving average become the signal moving average, in short it inverse the role of the moving averages, that is a percentage of 25 would be the same than 75.
In red the moving average using 25% of negative weights, in blue the same moving average using 14% percent of negative weights. In theory, more negative weights = less lag = more overshoots.
Here the trigger MA in blue has 0% of negative weights, the trigger MA in green has however 35% of negative weights, the difference in lag can be clearly seen. In the case where there is 0% of negative weights the trigger become a simple WMA while the signal one become a moving average with linearly increasing weights.
The corrective factor is the same as alpha in PReLU, and determine the steepness of the negative weights line, this parameter is constrained in a range of (0,1), lower values will create a less steep negative weights line, this parameter is extremely useful when we want to reduce overshoots, an example :
here the corrective factor is equal to 1 (so the weighting function is an identity function) and we use 45% of negative weights, this create lot of overshoots, however a corrective factor of 0.5 reduce them drastically :
Center Of Linearity
The impulse response of the signal moving average is inverse to the impulse response of the trigger moving average, if we where to show them together we would see that they would crosses at a point, denoted center of linearity, therefore the crosses of each moving averages correspond to the cross of the center of linearity oscillator and 0 of same period.
This is also true with the center of gravity oscillator, linear covariance oscillator and linear correlation oscillator. Of course the center of linearity oscillator is way more efficient than the proposed indicator, and if a moving average crossover system is required, then the wma/sma pair is equivalent and way more efficient, who would know that i would propose something with more efficient alternatives ? xD
Estimating A Least Squares Moving Average
I guess...yeah...but its not my fault you know !!! Its a linear weighting function ! What can i do about it ?
The least squares moving average is corrective, its weighting function is linearly decreasing and posses negative weights with an amount of negative weights inferior to 50%, now we only need to find the exact percentage amount of negative weights. How to do it ? Well its not complicated if we recall the estimation with the WMA/SMA combination.
So, an LSMA of period p is equal to : 3WMA(p) - 2SMA(p) , each coefficient of the combination can give us this percentage, that is 2/3*100 = 33.333 , so there are 33.33% percent of negative weights in the weighting function of the least squares moving average.
In blue the trigger moving average with percentage of negative values et to 33.33, and in green the lsma of both period 50.
Conclusion
Altho inefficient, the proposed moving averages remain extremely interesting. They make use of the PReLU function as weighting function and allow the user to have a more accurate control over the characteristics of the moving averages output such as lag and overshoot amount, such parameters could even be made adaptive.
We have also seen how to estimate the least squares moving average, we have seen that the lsma posses 33.333...% of negative weights in its weighting function, another useful information.
The lsma is always behind me, not letting me focus on cryptobot super profit indicators using massive amount of labels, its like each time i make an indicator, the lsma come back, like a jealous creature, she want the center of attention, but you know well that the proposed indicator is inefficient ! Inefficient elegance (effect of the meds) .
Thanks for reading !
Mix1 : Ema Cross + Trend Channel [Gu5]Based on Trend Channel
Ema-crossover is added
Crossing alerts, only on trend
Basado en mi anterior indicador, Trend Channel
Se agrega Cruce de Medias Moviles (Ema-crossover)
Las alertas solo son en favor a la tendencia
El valor de SMA Range es arbitrario (No Backtesting). Cambia la amplitud de canal que determina cuando es rango (barras amarillas por estar muy cerca del SMA200, sin tendencia definida)
Range Multiplier adapta el indicador a distintos mercados
//Setting recommended for SMA Range
//BTCUSD = 100
//EURUSD = 1000
//SPX = 100
//ETHUSD = 10
Si te fue útil este indicador, puedes comprarme una cerveza ;)
RSI EMA CrossOver RameshThe RSI is one of the most popular technical indicators. The RSI measures the internal strength of the security. The RSI indicator oscillates between oversold and over bought levels, where a trader is advised to look for buying opportunities when the stock is in over sold region and selling opportunities when the stock is in over bought region.
The RSI with EMA strategy signals a trade when EMA of 7 period RSI crosses over the EMA of a 14 period RSI.
Buy: when 10 EMA of 7 period RSI crossing up 10 EMA of a 14 period RSI
Sell: when 10 EMA of 7 period RSI crossing down 10 EMA of a 14 period RSI
EMA = Exponential Moving Average
Crossover = Simple crossover between current RSI values and its 10 day EMA
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?
SMA Crossover demoHi I'm currently in the process of learning to write a script. Here's a very basic SMA 34/5 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 34/5 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 34/5 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?
Hull Moving Average Crossover StrategyHull Moving Average Crossover, the Strategy version, so people can easily test the profitability of it.
Use Indicator version for use with Alerts
MASelect Crossover AlertsStudy for alerts, to be used with the MASelect Crossover Strat.
A simple crossover/crossunder strategy for beginners with options for 5 types of Moving Average. Use the strategy script to backtest and find your preferred Moving Average combinations and lengths.
