RSI Divergence Method█ OVERVIEW
This is a divergence indicator based on Relative Strength Index (RSI).
My attempt to make this indicator updated based on latest pine script features such as type, object and method.
█ FEATURES
1. Color of plot and label is based on contrast color of chart background. Able to customize color from style menu.
2. Big divergence (Regular Divergence) is based on lime / red color.
3. Small divergence (Hidden Divergence) is based on contrast color of chart background.
█ EXAMPLES / USAGES
מדד חוזק יחסי (RSI)
Mean Reversion and TrendfollowingTitle: Mean Reversion and Trendfollowing
Introduction:
This script presents a hybrid trading strategy that combines mean reversion and trend following techniques. The strategy aims to capitalize on short-term price corrections during a downtrend (mean reversion) as well as ride the momentum of a trending market (trend following). It uses a 200-period Simple Moving Average (SMA) and a 2-period Relative Strength Index (RSI) to generate buy and sell signals.
Key Features:
Combines mean reversion and trend following techniques
Utilizes 200-period SMA and 2-period RSI
Customizable starting date
Allows for enabling/disabling mean reversion or trend following modes
Adjustable position sizing for trend following and mean reversion
Script Description:
The script implements a trading strategy that combines mean reversion and trend following techniques. Users can enable or disable either of these techniques through the input options. The strategy uses a 200-period Simple Moving Average (SMA) and a 2-period Relative Strength Index (RSI) to generate buy and sell signals.
The mean reversion mode is active when the price is below the SMA200, while the trend following mode is active when the price is above the SMA200. The script generates buy signals when the RSI is below 20 (oversold) in mean reversion mode or when the price is above the SMA200 in trend following mode. The script generates sell signals when the RSI is above 80 (overbought) in mean reversion mode or when the price falls below 95% of the SMA200 in trend following mode.
Users can adjust the position sizing for both trend following and mean reversion modes using the input options.
To use this script on TradingView, follow these steps:
Open TradingView and load your preferred chart.
Click on the 'Pine Editor' tab located at the bottom of the screen.
Paste the provided script into the Pine Editor.
Click 'Add to Chart' to apply the strategy to your chart.
Please note that the past performance of any trading system or methodology is not necessarily indicative of future results. Always use proper risk management and consult a financial advisor before making any investment decisions.
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The following is a summary of the underlying whitepaper (onlinelibrary.wiley.com) for this strategy:
This paper proposes a theory of securities market under- and overreactions based on two psychological biases: investor overconfidence about the precision of private information and biased self-attribution, which causes asymmetric shifts in investors' confidence as a function of their investment outcomes. The authors show that overconfidence implies negative long-lag autocorrelations, excess volatility, and public-event-based return predictability. Biased self-attribution adds positive short-lag autocorrelations (momentum), short-run earnings "drift," and negative correlation between future returns and long-term past stock market and accounting performance.
The paper explains that there is empirical evidence challenging the traditional view that securities are rationally priced to reflect all publicly available information. Some of these anomalies include event-based return predictability, short-term momentum, long-term reversal, high volatility of asset prices relative to fundamentals, and short-run post-earnings announcement stock price "drift."
The authors argue that investor overconfidence can lead to stock prices overreacting to private information signals and underreacting to public signals. This overreaction-correction pattern is consistent with long-run negative autocorrelation in stock returns, excess volatility, and further implications for volatility conditional on the type of signal. The market's tendency to over- or underreact to different types of information allows the authors to address the pattern that average announcement date returns in virtually all event studies are of the same sign as the average post-event abnormal returns.
Biased self-attribution implies short-run momentum and long-term reversals in security prices. The dynamic analysis based on biased self-attribution can also lead to a lag-dependent response to corporate events. Cash flow or earnings surprises at first tend to reinforce confidence, causing a same-direction average stock price trend. Later reversal of overreaction can lead to an opposing stock price trend.
The paper concludes by summarizing the findings, relating the analysis to the literature on exogenous noise trading, and discussing issues related to the survival of overconfident traders in financial markets.
Advanced VWAP_Pullback Strategy_Trend-Template QualifierGeneral Description and Unique Features of this Script
Introducing the Advanced VWAP Momentum-Pullback Strategy (long-only) that offers several unique features:
1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends. Mark Minervini, a 2x US Investment Champion, developed the Trend-Template, which covers eight different and independent characteristics that can be adjusted and optimized in this trend-following strategy to ensure the best results. The strategy will only trigger buy-signals in case the optimized qualifiers are being met.
2. Our strategy is based on the supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you are day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well.
3. We have also integrated technical indicators such as the RSI and the MA / VWAP crossover into this strategy to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum.
Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets
This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered.
The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend.
In stable upward trends, we increase our market exposure and risk.
In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns.
This simple rule gives us a significant advantage over most undisciplined traders and amateurs!
'The Trend is your Friend'. This is a very old but true quote.
What's behind it???
• 98% of stocks made their biggest gains in a Phase 2 upward trend.
• If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably.
• By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased.
• In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points.
The goal is not to buy at the lowest price – the goal is to buy at the right price!
Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4
Stage 1 – Neglect Phase – Consolidation
Stage 2 – Progressive Phase – Accumulation
Stage 3 – Topping Phase – Distribution
Stage 4 – Downtrend – Capitulation
This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders.
By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends.
But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend?
Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible.
The Trend Template
• 200d MA increasing over a period of at least 1 month, better 4-5 months or longer
• 150d MA above 200d MA
• 50d MA above 150d MA and 200d MA
• Course above 50d MA, 150d MA and 200d MA
• Ideally, the 50d MA is increasing over at least 1 month
• Price at least 25% above the 52w low
• Price within 25% of 52w high
• High relative strength according to IBD.
NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available in TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled.
This strategy can be applied to all timeframes from 5 min to daily.
The VWAP Momentum-Pullback Strategy
For the JS-TechTrading VWAP Momentum-Pullback Strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are recommended for algorithmic trading with this startegy.
A further prerequisite for generating a buy signals is that the individual value is in a short-term oversold state (RSI).
When the selling pressure is over and the continuation of the uptrend can be confirmed by the MA / VWAP crossover after reaching a price low, a buy signal is issued by this strategy.
Stop-loss limits and profit targets can be set variably. You also have the option to make use of the trailing stop exit strategy.
Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods.
The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely.
For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon.
The MA / VWAP Crossover Trading Strategy
This strategy combines two popular technical indicators: the Moving Average (MA) and the Volume Weighted Average Price (VWAP). The MA VWAP crossover strategy is used to identify potential trend reversals and entry/exit points in the market.
The VWAP is calculated by taking the average price of an asset for a given period, weighted by the volume traded at each price level. The MA, on the other hand, is calculated by taking the average price of an asset over a specified number of periods. When the MA crosses above the VWAP, it suggests that buying pressure is increasing, and it may be a good time to enter a long position. When the MA crosses below the VWAP, it suggests that selling pressure is increasing, and it may be a good time to exit a long position or enter a short position.
Traders typically use the MA VWAP crossover strategy in conjunction with other technical indicators and fundamental analysis to make more informed trading decisions. As with any trading strategy, it is important to carefully consider the risks and potential rewards before making any trades.
This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MA/VWAP) can be adjusted and optimized as needed.
Backtesting
Backtesting gives outstanding results on all timeframes and drawdowns can be reduced to a minimum level. In this example, the hourly chart for MCFT has been used.
Settings for backtesting are:
- Period from Jan 2020 until March 2023
- Starting capital 100k USD
- Position size = 25% of equity
- 0.01% commission = USD 2.50.- per Trade
- Slippage = 2 ticks
Other comments
- This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
- The combination of the Trend-Template and the RSI qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
- Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
Momentum PlayTraders always need a confirmation of momentum in price action to ride the swings.
Momentum Play Indicator consists of the below:
Bullish Conditions :
1)EMA 8 above EMA 34 and rising
2)Candle close above 5 candle high
3) RSI above 60
4) Volume above 5 candles avg. volume
5) ADX above 20
Bearish Conditions :
1)EMA 8 below EMA 34 and falling
2)Candle close below 5 candle low
3) RSI below 40
4) Volume above 5 candles avg. volume
5) ADX above 20
Traders can change the inputs as per their liking to adjust as per their comfortable timeframe.
Credits: Special Thanks to Mr. DTBHAT for sharing the above conditions.
Cloud Bunching [5ema]Reused some functions from (i believe made by):
©paaax: The table position function.
@QuantNomad: The function calculated value and array screener for 40+ instruments .
How it uses:
Gives signal when the cloud is bunching with ratio smaller than the set ratio and the close price breaking out the cloud.
Track 40 different symbols, on any timeframe to follow and alert.
When a symbol has a signal, it will display on the chart and send an alert.
How it works:
The cloud created by 5 EMA (20, 50, 200, 460, 610). Upper Cloud is max EMA , Lower Cloud is min EMA . Center line is averange (5 EMA )
If the ratio upper / lower < input bunching (%) -> change color of cloud.
Get the signal if: the close price break out cloud (with bar is shooting, or hammer ,...) and high volume (or not).
With another symbols (max 40 ) also use that function with any time frame. By request.security() and array function.
How it setting:
Change the bunching rate (%) of the clouds for any symbols.
Change the percentage (%) of the close price that breaks out of the bunching cloud.
Choose volume condition.
Show or turn off the cloud, table.
Select the symbol to follow.
Choose a timeframe to follow other symbols.
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This indicator is for reference only, you need your own method and strategy.
If you have any questions, please let me know in the comments.
RSI Screener and Divergence [5ema]
Displayed on the RSI chart according to a custom timeframe.
Displays the RSI tracking table of various timeframes.
Identify normal divergence, hidden divergence on RSI chat.
Show buy and sell signals (strong, weak) on the board.
Send notifications when RSI has a buy or sell signal.
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I reused some functions, made by (i believe that):
©paaax : The table position function.
@everget : The RSI divergence function.
@QuantNomad : The function calculated value and array to show on table for input symbols.
I have commented in my code. Thanks so much!
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How it works:
1. Input :
input.int length of RSI => calculate RSI.
input.int upper/lower => checking RSI overbought/oversold.
input.int right bars / left bars => returns price of the pivot low & high point => checking divergence.
input.int range upper / lower bars => compare the low & high point => checking divergence.
input.timeframe => request.security another time frame.
input.string table position => display screener table.
2. Input bool:
plot RSI on chart.
Plot Regular Bullish divergence .
Regular Bearish divergence.
Hidden Bullish divergence .
Hidden Bearish divergence.
3. Basic calculated:
Make function for RSI , pivot low & high point of RSI and price.
Request.security that function for earch time frame.
Result RSI, Divergence.
4. Condition of signal:
Buy condition:
RSI oversold (1)
Bullish divergence (2).
=> Buy if (1) and (2), review buy (1) or (2).
Sell condition:
RSI overbought (3).
Bearish divergence (4).
=> Sell if (3) and (4), review sell (3) or (4).
5. Table screener:
Time frame.
RSI (green - oversold, red - overbought)
Divergence (⬈⬈ - regular bullish , ⬊⬊ regular bearish , ⬊ - hidden bullish , ⬈ - hidden bearish ).
Signal (🟢 - Buy, 🔴 - sell, green 〇 - review buy, red 〇 - review sell)
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This indicator is for reference only, you need your own method and strategy.
If you have any questions, please let me know in the comments.
SumIndTarget:
The SumInd indicator combines Heiking Ashi, Sar Parabolic, Koncord, RSI, DMI, MACD and Bollinger Bands to give buy or sell signals or trends. This are called base indicators.
The goal is to have a clear and quick buy or sell suggestion and to avoid evaluating all or some of the named indicators, especially if they give contradictory signals among them. This speed and simplicity helps the trader to see several tickers in less time. It is intended for all markets and time periods where the above-mentioned indicators can be used.
How it works:
SumInd already has the importance or "weight" of each indicator named above configured, but they can be modified. You can set 0% for no use, or any other value based on the weight you want to give it, between 1% and 200% where 100% is the normal use, and increases or decreases based on importance.
Each base indicator can give signals to buy, sell or just "wait and see".
Each base indicator is checked for a buy signal, in which case its weight is added to the positive or green line, and if there is a sell signal, its weight is subtracted from the sell or red line. in case of indeterminacy or 'wait and see', nothing is added to any signal.
The yellow or total line is the sum of the buy or green signal plus the sell or red signal.
If the yellow or total line rises above the buy level, the background changes to green and an up arrow appears at the bottom of the chart indicating the buy suggestion, because most of the indicators you are interested in gave a buy signal.
If the yellow line or total falls below the sell level, the background changes to red and a downward arrow appears in the upper area of the chart indicating the sell suggestion, because most of the indicators you are interested in gave a sell signal.
The Buy and Sell level can be changed according to the security of the suggestion you need.
Areas without arrows or marks are considered "wait and see" areas, the previous trend in principle continues. They can be marked with the default background if desired from the SumInd settings.
Details and criterials:
Each of the following indicators can be turned on or off and assigned different weights of importances, by whether or not it shares the following criteria:
Heikin Ashi candles: add or subtract half an assigned weight if there is a buy or sell candle and the other half weight if there are two consecutive candles with the same signal.
RSI: Adds or subtracts the assigned weight if the ema is below or above the signal.
Parabolic Sar: Adds half a weight in transition to buy or sell and another half weight if there are two consecutive signals of the same trend.
Koncord: Add or subtract the weight if the current trend (mountain) grows or decreases respectively from the 4th previous time signal, and also the value (red line) is less than 35 or exceeds 65 respectively.
DMI: Adds or subtracts a quarter of the weight assigned by the DMI signal multiplied by the value of DMI, if the positive or negative signal exceeds the other negative or positive signal by 15% respectively.
Bollinger Bands: Add or subtract the weight if the previous third signal touches or falls out of the zone and keeps growing or decreasing respectively.
MACd: Add or subtract one third of the weight if the last 3 time signals are rising or falling, Add or subtract another third if the fast signal is above or below the slow signal, and Add or subtract the last third of the weight if it is rising with the negative fast signal, or falling with the positive fast signal.
[Hoss] OBV RSIThe OBV ( On Balance Volume ) RSI ( Relative Strength Index ) indicator is an innovative tool that combines the power of OBV and RSI to provide traders with a comprehensive view of the market's momentum and volume dynamics. This combination enables users to make better-informed trading decisions by analyzing the relationship between price, volume , and relative strength .
The script starts by calculating the On Balance Volume , which is a cumulative volume-based indicator that measures buying and selling pressure. The OBV increases when the closing price is higher than the previous closing price and decreases when the closing price is lower than the previous closing price. This helps traders identify potential price trend reversals based on volume accumulation or distribution.
Next, the script computes the Relative Strength Index ( RSI ) based on the OBV values, offering a unique perspective on the market's momentum through the lens of volume . The RSI is a popular momentum indicator that ranges from 0 to 100 and helps traders identify overbought and oversold conditions. In this script, the user can define the RSI length and the higher and lower levels (default values are 70 and 30, respectively).
A distinctive feature of this OBV RSI indicator is the addition of a monitor that counts the number of times the RSI crosses above the higher level and below the lower level within a user-defined lookback period. This monitor is displayed as a table in the bottom right corner of the chart and can be enabled or disabled through an input option.
The cross count monitor provides valuable insights into the historical frequency of RSI crossings, helping traders to identify potential trading opportunities based on historical price behavior around these levels.
Supertrend ANY INDICATOR (RSI, MFI, CCI, etc.) + Range FilterThis indicator will generate a supertrend of your chosen configuration on any of the following indicators:
RSI
MFI
Accum/Dist
Momentum
On Balance Volume
CCI
There is also a RANGE FILTER built into the scripts so that you can smooth the indicators for the supertrend. This is an optional configuration in the settings. Also, you can change the oversold/overbought bounds in the settings (they are removed entirely for indicators without bounds).
If you find this indicator useful, please boost it and follow! I am open to suggestions for adding new indicators to this script, it's very simple to add new ones, just suggest them in the comments.
RSI is in Normal Distribution?Does RSI Follow a Normal Distribution?
The value of RSI was converted to a value between 0~2, 2~4, ..., 98~100, and the number of samples was graphed.
The Z values are expressed so that the values corresponding to 30 and 70 of the RSI can be compared with the standard normal distribution.
Additionally, when using the RSI period correction function of the 'RSI Candle Advanced V2' indicator that I made before, it shows no change in standard deviation.
RSI는 정규분포를 따를까요
RSI의 값을 0~2, 2~4, ..., 98~100 사이 값으로 변환하고 그 표본 갯수를 그래프로 표현하였습니다.
Z 값은 RSI의 30, 70에 해당하는 값을 표준정규분포와 비교할 수 있도록 표현하였습니다.
추가적으로 제가 예전에 만들었던 'RSI Candle Advanced V2' 지표의 RSI 기간 보정 함수를 사용할 경우 표준편차의 변화가 없음을 보입니다.
Relative Strength Index Wave Indicator [CC]The Relative Strength Index Wave Indicator was created by Constance Brown (Technical Analysis for the Trading Professional), and this is a unique indicator that uses the weighted close formula, but instead of using the typical price values, it uses the RSI calculated from the various prices. It then creates a rainbow by smoothing the weighted RSI with four different lengths. As far as the buy or sell signals with this indicator go, I did change things from the original source, so feel free to experiment and let me know if anything works better for you. I decided to do a variation of the original source and create buy and sell signals based on crossovers, but my version only uses the first and second smoothed RSI lines. You could also average all of the lines and buy when the average is rising and sell when it starts to fall. I have used my typical buy and sell signals to use darker colors for strong signals and lighter colors for normal signals. Because of the rainbow effect from the wave, the color changes will only appear for the bar itself when you enable that setting.
Let me know if there is any other script you would like to see me publish! I will have plenty more RSI scripts to publish in the next week. Let me know if you like this indicator series.
Reverse Double Smoothed Relative Strength Index Bands[CC]The Reverse Double Smoothed Relative Strength Index Bands is a custom script of mine that is another part of my RSI indicator series, which I will be publishing over the next week or so. This takes my Double Smoothed Relative Strength Index script and applies the Reverse RSI formula to create a new Bollinger Bands type indicator. This concept can work for almost any oscillator with some slight tweaking. I have a reverse RSI being calculated for each major RSI level to give you an approximation of what the price would look like if that RSI level was hit. Feel free to tweak the RSI levels of course. I will publish more Reverse indicators since that doesn't seem to be a topic that is touched on very frequently. I have color coded the indicator to show darker colors when it is a strong signal and lighter colors for normal signals. Buy when the lines turn green and sell when they turn red.
This was a custom request from @kerpiciwuasile so let me know if you want to see me publish another custom script!
Reverse Relative Strength Indicator [CC]The Reverse Relative Strength Index was created by Giorgos Siligardos (Stocks & Commodities V. 21:6 (18-30)). It is a handy indicator that reverse engineers the RSI price calculation to show what the price would have to be for the RSI value to match our chosen input. You can select your chosen RSI level using the RSI Level input for this indicator. For example if you wanted to see what the price would be for the RSI value to match the oversold level then you would set the RSI Level for 30 and it will plot that price on the chart. This uses some simple math to extrapolate the price with some basic algebra from the typical RSI calculation. This, of course, is a very similar concept to my previous Reverse Moving Average Convergence Divergence script. This indicator formula can be used for any oscillator with some slight tweaking and could also be customized to show the price for overbought and oversold levels, which I will probably do in the near future. This indicator is useful in many ways such as a trend indicator as my example shows or for a price projection tool. For example, if you had a current RSI level of 66 and it was going up and you want to see what the price would be if it reached the overbought level then you could do that. Let me know what works well for you and if you have any suggestions for how to further improve upon this script. I have included darker colors to show stronger signals and lighter colors to show normal signals. Buy when the line turns green and sell when it turns red.
I have a bunch of backlogged scripts that I'm trying to publish, so I figured I would focus on my RSI scripts since I have a bunch, so be prepared to see a bunch of those over the next week or so. Let me know if there are any other scripts you would like to see me publish!
Soheil PKO's 5 min Hitman Scalp - 3MA + Laguerre RSI + ADX [Pt]Someone sent me this strategy found on YouTube. It is Soheil PKO's "The Best and Most Profitable Scalping Strategy" Best way to find out is to code it =)
This strategy uses Moving Average Ribbon, Laguerre RSI, and ADX. This script only displays the MA ribbon, you will need to add Laguerre RSI and ADX separately.
Long Entry Criteria:
- 16 EMA > 48 EMA > 200 SMA
- Laguerre RSI > 80
- ADX > 20
Long Exit Criterion:
- 16 EMA < 48 EMA
Short Entry Criteria:
- 16 EMA < 48 EMA < 200 SMA
- Laguerre RSI < 20
- ADX > 20
Short Exit Criterion:
- 16 EMA > 48 EMA
As mentioned in the video, risk management is very important, especially for scalping strategies. Therefore, I've added option for setting Stop Loss and Price Target in the options for you guys to play with.
All parameters are configurable.
Enjoy~~
Trend Indicator with RSI and Fibbonacci Band 0.702 crossingsToday we have a new Indicator set, which I created using inspiration from the Trend Magic Indicator from KivancOzbilgic and adding several new aspects to it and a slightly modified calculation of the trend indicator itself.
You can change the inputs by changing the pre set values in the settings, but I found the current settings quite accurate. Feel free to experiment to fine tune the indicators.
Here are the details of the script:
Trend indicated within candles and as a line
- bullish and bearish trends are now also indicated within the candle based on the CCI calculation.
- Bullish is indicated by a green circle below the candle or as one may call it a "dot"
- bearish trend is indicated by a red circle above the candle
Entry Signal based on RSI crossing its EMA
- my motivation was to have a clearer entry signal besides highlighting a trend, which can not really be used to identify a good entry but to give confidence or when loosing trend to give an exit signal.
- after studiying the RSI and how it works together with its EMA it looks quite interesting as an entry or exit signal. But be cautios if the EMA and RSI values are moving in a narrow area we get a lot of crosses and therefore signals which should rather be ignored rather to be act on. So the the range where the cross happens is also quite important. But this aspect is not yet reflected as a rule/ logic.
But I am thinking of adding something.. or alternativly best to switch to another timeframe to get some better data
RSI overbought and oversold as Diamonds
- I also added key indications of oversold or overbought as Blue and Pink diamonds, can be considered as additional information to maybe identify a short term top or bottom.. but its not very accurate.
Entry signal based on crossing Fibbonachi Band 0.702
- So far the 0.702 seems to be quite an interesting retracement level which seems to be met a lot of times
- based on the assumption the price will evantually hit the 0.702 either direction I wanted to get a signal when this happens
- BUT! a big but, unfortunalty the Fibbonachi bands tend to bloat up in case of high volatility so it is not easy to find the crossing on higher timeframes
Here are the standard value which I found quite accurate for the assets I use this indicator set:
CCI Period = 5
ATR Multiplier = 1
ATR Period = 1
Source = High Low Close (hlc3 average value of the candle
Here the inputs used for the RSI Crossing signal (here you should play around a little to see which entry would have been best..)
RSI Length = 14
RSI Oversold = 25 (to be used for the "golden" entry signal based on the FBB crossing)
RSI Overbought = 80 (to be used for the "golden" entry signal based on the FBB crossing)
RSI Moving Average Length
In future versions I will add options to activate or deactive some of the plotting and espacially this golden dot when the fibbonachi band is being crossed needs some fine tuning..
And lets see if there is a way to fix the bloating of those bands..
TASC 2023.03 Every Little Bit Helps - Special EditionMy first Published contribution.
Gracious thank you to all Pine Coders,
this has subtle features that have multiple shifts based on inputs.
with some experimentation, one might try pushing other sources
at the hue dials and see more dynamic indication.
for John Ehlers article
TASC Magazine This Month.
- Special Edition.
MACD & RSI Overlay (Expo)█ Overview
The MACD & RSI Overlay (Expo) trading indicator is a technical analysis tool that combines two popular indicators, the Relative Strength Index (RSI ) and the Moving Average Convergence Divergence (MACD ), and overlays them onto the price chart. The indicator oscillates relative to price, so it plots the RSI and MACD around price while still displaying the same insights as the regular MACD and RSI indicators. This feature gives traders a unique perspective, allowing them to see the relationship between price, momentum, and trend in a single chart.
This indicator is a valuable addition to any trader's technical analysis toolkit, whether they are a beginner or an experienced trader.
█ MACD
█ RSI
The RSI comes with overbought and oversold areas, which can be set by the trader.
█ MACD & RSI
█ Trend Feature
What sets the MACD & RSI Overlay indicator apart is its ability to factor in the underlying trend. This feature makes the indicator more useful than ever before, as traders can use it to filter trades in the direction of the trend. By considering the underlying trend, traders can gain valuable insights into market trends.
█ Benefits
One of the primary benefits of having the MACD and RSI plotted directly on the price chart is that it provides a more intuitive understanding of the relationship between price, momentum, and trend. Traders can quickly identify the direction of the trend by observing the price movement relative to the MACD and RSI lines. In addition, by having these indicators plotted on the chart, traders can quickly identify potential buy and sell signals and develop new trading strategies.
█ How to use
One of the most popular strategies is to use the MACD & RSI Overlay indicator to look for crossings. A crossing occurs when the MACD and RSI lines cross over each other or when they cross over the signal line. These crossings can signal potential trend reversals and momentum shifts. For example, if the MACD line crosses over the signal line from below, it could indicate a bullish signal, while a cross from above could indicate a bearish signal.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Shorting when Bollinger Band Above Price with RSI (by Coinrule)The Bollinger Bands are among the most famous and widely used indicators. A Bollinger Band is a technical analysis tool defined by a set of trendlines plotted two standard deviations (positively and negatively) away from a simple moving average ( SMA ) of a security's price, but which can be adjusted to user preferences. They can suggest when an asset is oversold or overbought in the short term, thus providing the best time for buying and selling it.
The relative strength index ( RSI ) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI can do more than point to overbought and oversold securities. It can also indicate securities primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
The short order is placed on assets that present strong momentum when it's more likely that it is about to reverse. The rule strategy places and closes the order when the following conditions are met:
ENTRY
The closing price is greater than the upper standard deviation of the Bollinger Bands
The RSI is less than 70.
EXIT
The trade is closed when the RSI is less than 70
The lower standard deviation of the Bollinger Band is less than the closing price.
This strategy was backtested from the beginning of 2022 to capture how this strategy would perform in a bear market.
The strategy assumes each order to trade 70% of the available capital to make the results more realistic. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange by volume.
RSI Trendlines with BreakoutsA pivot-based breakout indicator that attempts to provide traders with a visual aid for finding breakouts on the RSI. Similar to how we use trendlines on our charts, using them on the Relative Strength Index can also give us a sense of direction in the markets.
This script uses its own pivot-based system that checks for real-time swing levels and triggers a new pivot event after every dip and nth bars. The breakout alerts that are given were not designed to be taken as signals since their purpose is to provide an extra bit of confluence. Because of this, I added no other conditions that try to make the alerts "perfect", but instead, print every breakout that is detected. Despite stating this, I did happen to add a condition that checks the difference in RSI and the breakout value, but that's as far as it'll go.
There are alerts built-in to the script, along with adjustable repainting options.
🔳 Settings
Lookback Range: Lookback period to trigger a new pivot point when conditions are met.
RSI Difference: The difference between the current RSI value and the breakout value. How much higher in value should the current RSI be compared to the breakout value in order to detect a breakout?
RSI Settings
Styling Options
🔳 Repaint Options
On: Allows repainting
Off - Bar Confirmation: Prevents repainting and generates alerts when the bar closes. (1 candle later)
🔳 How it Works
Before a trendline is drawn, the script retrieves the slope between the previous pivot point and the current. Then it adds or subtracts the slope x amount of times (based on the lookback range) from the current pivot value until the current x-axis is reached. By doing this we can get a trendline that will detect a breakout accurately.
The result
When using the RSI Difference condition, the script will print breakouts whenever the condition is true, because of this dotted lines were added to track where the alert was triggered.
🔳 Alerts
Simple_RSI+PA+DCA StrategyThis strategy is a result of a study to understand better the workings of functions, for loops and the use of lines to visualize price levels. The strategy is a complete rewrite of the older RSI+PA+DCA Strategy with the goal to make it dynamic and to simplify the strategy settings to the bare minimum.
In case you are not familiar with the older RSI+PA+DCA Strategy, here is a short explanation of the idea behind the strategy:
The idea behind the strategy based on an RSI strategy of buying low. A position is entered when the RSI and moving average conditions are met. The position is closed when it reaches a specified take profit percentage. As soon as the first the position is opened multiple PA (price average) layers are setup based on a specified percentage of price drop. When the price hits the layer another position with the same position size is is opened. This causes the average cost price (the white line) to decrease. If the price drops more, another position is opened with another price average decrease as result. When the price starts rising again the different positions are separately closed when each reaches the specified take profit. The positions can be re-opened when the price drops again. And so on. When the price rises more and crosses over the average price and reached the specified Stop level (the red line) on top of it, it closes all the positions at once and cancels all orders. From that moment on it waits for another price dip before it opens a new position.
This is the old RSI+PA+DCA Strategy:
The reason to completely rewrite the code for this strategy is to create a more automated, adaptable and dynamic system. The old version is static and because of the linear use of code the amount of DCA levels were fixed to max 6 layers. If you want to add more DCA layers you manually need to change the script and add extra code. The big difference in the new version is that you can specify the amount of DCA layers in the strategy settings. The use of 'for loops' in the code gives the possibility to make this very dynamic and adaptable.
The RSI code is adapted, just like the old version, from the RSI Strategy - Buy The Dips by Coinrule and is used for study purpose. Any other low/dip finding indicator can be used as well
The distance between the DCA layers are calculated exponentially in a function. In the settings you can define the exponential scale to create the distance between the layers. The bigger the scale the bigger the distance. This calculation is not working perfectly yet and needs way more experimentation. Feel free to leave a comment if you have a better idea about this.
The idea behind generating DCA layers with a 'for loop' is inspired by the Backtesting 3commas DCA Bot v2 by rouxam .
The ideas for creating a dynamic position count and for opening and closing different positions separately based on a specified take profit are taken from the Simple_Pyramiding strategy I wrote previously.
This code is a result of a study and not intended for use as a full functioning strategy. To make the code understandable for users that are not so much introduced into pine script (like myself), every step in the code is commented to explain what it does. Hopefully it helps.
Enjoy!
Negroni MA & RSI Strategy, plus trade entry and SL/TP optionsI will start with the context, and some things to think about when using a strategy tool to back-test ideas.
CONTEXT
FIRST: This is derived from other people's work, but I honestly hadn't found a mixed indicator MA strategy tool that does what this now does. If it is out there, apologies!!
This tool can help back-test various MA trends (SMA, EMA, HMA, VWMA); as well as factoring in RSI levels (or not); and can factor in a fixed HTF MA (or not). You can apply a 'retest entry' or a 'breakout entry', and you can also apply various risk mgt for SL/TP orders: 1) No SL/TP; or 2) a fixed %, or 3) dynamic ATR multipliers.
Find below, some details explaining what this tool is attempting to do.
Thank you, tack, salute!
THINGS TO REVIEW (it is not just about 'profitability'!!)
Whilst discretion is always highly encouraged as a trader, and a 100% indicator-driven strategy is VERY unlikely to yield sustainable results going forward, at the very least back-testing your strategies can help provide some guidance, not just on win rate Vs profit factor, but other things including:
a) Trade frequency: if a strategy has an 75% win rate and profit factor of 4, with all your parameters and confluence checks, but only triggers 3 trades every 5 years, is that realistically implementable to your trading situation if you have a $10,000 account?
b) Trade entry type: is it consistently better to wait for a retest of an 'MA zone', or is it better to market buy/sell on breakout of the 'MA zone'?
c) Risk management (SL/TP): is it consistently better to have a fixed static % for SL/TP ("I always place my stops 2% away, whether it is EURUSD or BTCUSDT"), or would you be better placed to try using an ATR multiplier of the respective assets?
d) Moving average type: is your old faithful 100 EMA really serving you well, or is the classic SMA more reliable, or how about the HMA, or the VWMA? Is the 100/200 cross holding up, or do you need something more sensitive? Is there any significant difference between a 10 EMA/20 EMA trend zone compared to a 13 EMA /25 EMA zone?
e) Confluence: Do added confluence checks (RSI, higher timeframe MA) actually improve profitability? But even if they do, is at the cost of cutting too many trades?
INPUTS AND PARAMETERS
Choice 1) Entry Strategy: Retest or Breakout - You can select both!
[ ]:
a) RETEST entry strat: price crosses UNDER FastMA INTO the 'MA trend zone'.
b) BREAKOUT entry strat: price crosses OVER FastMA OUT the 'MA trend zone'.
Choice 2) Risk Management (SL and TP) - You can select more than 1 strategy!
a) No SL/TP: Long trades are closed when the LOW crosses back UNDER the fastMA again, and shorts are closed when the HIGH crosses back OVER the fastMA again.
b) Static % SL/TP: Your SL/TP will be a fixed % away from avg. position price... WARNING: You should change this for various asset classes; FX vol is not the same as crypto altcoin vol!
c) Dynamic ATR SL/TP: Your SL/TP is a multiple of your selected ATR range (default is 50, see 'info' when you select ATR range). ATR accounts for the change in vol of different asset classes somewhat, HOWEVER... you should probably still not have the same multiplier trading S&P500 as you would trading crypto altcoins!
Then select your preferred parameters: EMA, SMA, HMA, VWMA, etc. You can mix and match, and most options have a info/tooltip guide.
RSI note: If you don't care for RSI levels, then set buy signal at 1... i.e always buys! Similarly set sell signal at 99.
ATR note: standard ATR length is usually 14, however... your SL/TP will move POST entry, and can tighten or widen your initial SL/TP... for better AND usually for worse! Go find a trade (strat 3) on the chart, look at the SL/TP lines, now change the number to 5, you'll see.
Fixed HTF MA note: If you don't care for HTF MA confluence, just change the timeframe/options to match the 'Slow MA' options you've chosen.
Rsi strategy for BTC with (Rsi SPX)
I hope this strategy is just an idea and a starting point, I use the correlation of the Sp500 with the Btc, this does not mean that this correlation will exist forever!. I love Trading view and I'm learning to program, I find correlations very interesting and here is a simple strategy.
This is a trading strategy script written in Pine Script language for use in TradingView. Here is a brief overview of the strategy:
The script uses the RSI (Relative Strength Index) technical indicator with a period of 14 on two securities: the S&P 500 (SPX) and the symbol corresponding to the current chart (presumably Bitcoin, based on the variable name "Btc_1h_fixed"). The RSI is plotted on the chart for both securities.
The script then sets up two trading conditions using the RSI values:
A long entry condition: when the RSI for the current symbol crosses above the RSI for the S&P 500, a long trade is opened using the "strategy.entry" function.
A short entry condition: when the RSI for the current symbol crosses below the RSI for the S&P 500, a short trade is opened using the "strategy.entry" function.
The script also includes a take profit input parameter that allows the user to set a percentage profit target for closing the trade. The take profit is set using the "strategy.exit" function.
Overall, the strategy aims to take advantage of divergences in RSI values between the current symbol and the S&P 500 by opening long or short trades accordingly. The take profit parameter allows the user to set a specific profit target for each trade. However, the script does not include any stop loss or risk management features, which should be considered when implementing the strategy in a real trading scenario.
Super 6x: RSI, MACD, Stoch, Loxxer, CCI, & Velocity [Loxx]Super 6x: RSI , MACD , Stoch , Loxxer, CCI , & Velocity is a combination of 6 indicators into one histogram. This includes the option to allow repainting.
What is MACD?
Moving average convergence divergence ( MACD ) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average ( EMA ) from the 12-period EMA .
What is CCI?
The Commodity Channel Index ( CCI ) measures the current price level relative to an average price level over a given period of time. CCI is relatively high when prices are far above their average. CCI is relatively low when prices are far below their average. Using this method, CCI can be used to identify overbought and oversold levels.
What is RSI?
The relative strength index is a technical indicator used in the analysis of financial markets. It is intended to chart the current and historical strength or weakness of a stock or market based on the closing prices of a recent trading period. The indicator should not be confused with relative strength .
What is Stochastic?
The stochastic oscillator, also known as stochastic indicator, is a popular trading indicator that is useful for predicting trend reversals. It also focuses on price momentum and can be used to identify overbought and oversold levels in shares, indices, currencies and many other investment assets.
What is Loxxer?
The Loxxer indicator is a technical analysis tool that compares the most recent maximum and minimum prices to the previous period's equivalent price to measure the demand of the underlying asset.
What is Velocity?
In simple words, velocity is the speed at which something moves in a particular direction. For example as the speed of a car travelling north on a highway, or the speed a rocket travels after launching.
How to use
Long signal: All 4 indicators turn green
Short signal: All 4 indicators turn red
Included
Bar coloring
Alerts
