Sniper EntryThis source code is an implementation of a PulseWire indicator called "Sniper Entry". The purpose of this indicator is to identify potential entry points for trades based on certain candlestick patterns and the Stochastic oscillator.
The indicator calculates the Stochastic oscillator based on the close, high, and low prices of the asset over a period of 14 bars. It then uses this oscillator to generate buy and sell signals.
For a buy signal to be generated, the Stochastic oscillator must cross above the oversold level of 20, and the current candle must either be a bullish pin bar or a bullish engulfing pattern. For a sell signal to be generated, the Stochastic oscillator must cross below the overbought level of 80, and the current candle must either be a bearish pin bar or a bearish engulfing pattern.
The indicator also calculates the stop loss and target levels for both buy and sell trades. The stop loss is calculated based on the low or high of the candle that generated the signal, depending on whether it's a buy or sell signal. The target is calculated based on the risk/reward ratio, which is set to 3 in this implementation. The lot size is also set to 0.01, and the starting capital is set to 100.
The indicator then plots the buy and sell signals, the stop loss and target levels, and the Stochastic oscillator on the chart.
It's important to note that this is just one example of a trading indicator, and its effectiveness may vary depending on market conditions and the asset being traded. It's also important to perform your own analysis and use proper risk management techniques when making trades based on any indicator or strategy. Indicator
Dynamo
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Overview
Dynamo is built to be the Swiss-knife for price-movement & strength detection, it aims to provide a holistic view of the current price across multiple dimensions. This is achieved by combining 3 very specific indicators(RSI, Stochastic & ADX) into a single view. Each of which serve a different purpose, and collectively provide a simple, yet powerful tool to gauge the true nature of price-action.
Background
Dynamo uses 3 technical analysis tools in conjunction to provide better insights into price movement, they are briefly explained below:
Relative Strength Index(RSI)
RSI is a popular indicator that is often used to measure the velocity of price change & the intensity of directional moves. RSI computes the relative strength of the current price by comparing the security’s bullish strength versus bearish strength for a given period, i.e. by comparing average gain to average loss.
It is a range bound(0-100) variable that generates a bullish reading if average gain is higher, and a bullish reading if average loss is higher. Values over 50 are generally considered bullish & values less than 50 indicate a bearish market. Values over 70 indicate an overbought condition, and values below 30 indicate oversold condition.
Stochastic
Stochastic is an indicator that aims to measure the momentum in the market, by comparing most recent closing price of the security to its price range for a given period. It is based on the assumption that price tends to close near the recent high in an up trend, and it closes near the recent low during a down trend.
It is also range bound(0-100), values over 80 indicate overbought condition and values below 20 indicate oversold condition.
Average Directional Index(ADX)
ADX is an indicator that can quantify trend strength, it is derived from two underlying indices, known as Directional Movement Index(DMI). +DMI represents strength of the up trend, and -DMI represents strength of the down trend, and ADX is the average of the two.
ADX is non-directional or trend-neutral, which means, it does not follow the direction of the price, instead ADX will rise only when there is a strong trend, it does not matter if it’s an up trend or a down trend. Typical ranges of ADX are 25-50 for a strong trend, anything below 25 is considered as no trend or weak trend. ADX can frequently shoot upto higher values, but it generally finds exhaustion levels around the 60-75 range.
About the script
All these indicators are very powerful tools, but just like any other indicator they have their limitations. Stochastic & ADX can generate false signals in volatile markets, meaning price wouldn’t always follow through with what’s being indicated. ADX may even fail to generate a signal in less volatile markets, simply because it is based on moving averages, it tends to react slower to price changes. RSI can also lose it’s effectiveness when markets are trending strong, as it can stay in the overbought or oversold ranges for an extended period of time.
Dynamo aims to provide the trader with a much broader perspective by bringing together these contrasting indicators into a single simplified view. When Stochastic becomes less reliable in highly volatile conditions, one can cross validate their deduction by looking at RSI patterns. When RSI gets stuck in overbought or oversold range, one can refer to ADX to get better picture about the current trend. Similarly, various combinations of rules & setups can be formulated to get a more deterministic view, when working with either of these indicators.
There many possible use cases for a tool like this, and it totally depends on how you want to use it. An obvious option is to use it to trigger signals only after it has been confirmed by two or more indicators, for example, RSI & Stochastic make a great combination for cross-over or cross-under strategies. Some of the other options include trend detection, strength detection, reversals or price rejection points, possible duration of a trend, and all of these can very easily be translated into effective entry and exit points for trades.
How to use it
Dynamo is an easy-to-use tool, just add it to your chart and you’re good to start with your market analysis. Output consists of three overlapping plots, each of which tackle price movement from a slightly different angle.
Stochastic: A momentum indicator that plots the current closing price in relation to the price-range over a given period of time.
Can be used to detect the direction of the price movement, potential reversals, or duration of an up/down move.
Plotted as grey coloured histograms in the background.
Relative Strength Index(RSI): RSI is also a momentum indicator that measures the velocity with which the price changes.
Can be used to detect the speed of the price movement, RSI divergences can be a nice way to detect directional changes.
Plotted as an aqua coloured line.
Average Directional Index(ADX): ADX is an indicator that is used to measure the strength of the current trend.
Can be used to measure how strong the price movement is, both up and down, or to establish long terms trends.
Plotted as an orange coloured line.
Features
Provides a well-rounded view of the market movement by amalgamating some of the best strength indicators, helping traders make better informed decisions with minimal effort.
Simplistic plots that aim to convey clean signals, as a result, reducing clutter on the chart, and hopefully in the trader's head too.
Combines different types of indicators into a single view, which leads to an optimised use of the precious screen real-estate.
Final Note
Dynamo is designed to be minimalistic in functionality and in appearance, as it is being built to be a general purpose tool that is not only beginner friendly, but can also be highly-configurable to meet the needs of pro traders.
Thresholds & default values for the indicators are only suggestions based on industry standards, they may not be an exact match for all markets & conditions. Hence, it is advisable for the user to test & adjust these values according their securities and trading styles.
The chart highlights one of many possible setups using this tool, and it can used to create various types of setups & strategies, but it is also worth noting that the usability & the effectiveness of this tool also depends on the user’s understanding & interpretation of the underlying indicators.
Lastly, this tool is only an indicator and should only be perceived that way. It does not guarantee anything, and the user should do their own research before committing to trades based on any indicator.
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Stochastic Oversold / Overbought Multi Time Frame on CandleAt the suggestion of a friend, I prepared this educational indicator to show how to use a Multi time frames on the chart based on the color of The Candle.
This Script calculates the stochastic oscillator for multiple timeframes and displays the overbought/oversold signals on the chart with color coding.
The stochastic oscillator is a momentum indicator that compares a security's closing price to its high-low range over a set number of periods. The indicator oscillates between 0 and 100, with readings above 80 considered overbought and readings below 20 considered oversold.
The indicator has the following input parameters:
%K Length: the number of periods used to calculate the stochastic oscillator (default is 14).
%K Smoothing: the number of periods used to smooth the stochastic oscillator (default is 1).
Three timeframes: The timeframes for which the stochastic oscillator is calculated can be set as 15-minute, 1-hour, or 4-hour intervals. For each timeframe, the user can choose to display the indicator (or not) and set the color of the candle. The user can also set the overbought and oversold levels (default is 80 and 20, respectively).
The indicator calculates the stochastic oscillator using the ta.stoch function from the built-in ta library in PineScript. It then uses the ta.sma function to smooth the stochastic oscillator if specified. Finally, the indicator uses the TimeframFuction to calculate the stochastic oscillator for different timeframes, which is then displayed on the chart using the barcolor function. The color of the candle is set based on whether the stochastic oscillator is overbought or oversold, as determined by the overbought/oversold levels specified by the user.
Note: This code is example for you to use multi timeframe in your indicator or Strategy , also prevent Repainting Calculation
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Zig Zag Stochastic (ZZS)The "Zig Zag Stochastic" indicator is an indicator that uses a combination of zigzag pivot points and exponential smoothing to calculate a stochastic-like oscillator.
The indicator starts by identifying pivot high and pivot low points in the price data using the Zigzag indicator. These pivot points are then used to calculate the scale_price, which is a ratio of the current close price to the range between the current pivot high and pivot low.
Next, the scale_price is smoothed using exponential smoothing. The user can input the desired length of the smoothing period, with a default value of 14. If the user sets the smoothing length to 0, the indicator will automatically calculate the optimal smoothing length using the MAMA period calculation from the Dominant Cycle Estimators library.
The smoothed scale_price is then used to calculate two lines: the K-line and the D-line, both of which are also smoothed using exponential smoothing. The K-line is the main oscillator line and is similar to the %K line in a traditional stochastic oscillator. The D-line is a signal line, similar to the %D line in a traditional stochastic oscillator.
The indicator plots the smoothed scale_price, the K-line, and the D-line. Additionally, it includes horizontal lines at the 80 and 20 levels, and fills the area between them to help identify overbought and oversold conditions. Indicator
Adaptive RSI/Stochastic (ARSIS)As a trader, one of the most important aspects of technical analysis is identifying the dominant cycle of the market. The dominant cycle, also known as the market's "heartbeat," can provide valuable information on the current market trend and potential future price movements. One way to measure the dominant cycle is through the use of the MESA Adaptation - MAMA Cycle function, which is a part of the Dominant Cycle Estimators library.
I have developed an "Adaptive RSI/Stochastic" indicator that incorporates the MAMA Cycle function to provide more accurate and reliable signals. The indicator uses the MAMA Cycle function to calculate the period of the data, which is then used as a parameter in the calculation of the RSI and Stochastic indicators. By adapting the calculation of these indicators to the dominant cycle of the market, the resulting signals are more in tune with the current market conditions and can provide a more accurate representation of the current trend.
The MAMA Cycle function is a powerful tool that utilizes advanced mathematical techniques to accurately calculate the dominant cycle of the market. It takes into account the dynamic nature of the market and adapts the calculation of the period to the current conditions. The result is a more accurate and reliable measurement of the market's dominant cycle, which can be used to improve the performance of other indicators and trading strategies.
In conclusion, the Adaptive RSI/Stochastic indicator that I have developed, which incorporates the MAMA Cycle function, is a valuable tool for any trader looking to improve their technical analysis. By adapting the calculation of the RSI and Stochastic indicators to the dominant cycle of the market, the resulting signals are more in tune with the current market conditions and can provide a more accurate representation of the current trend.
Huge thank you to @lastguru for making this possible! Indicator
Stoch RSI 15 min - multi time frame tableABOUT THIS INDICATOR
This indicator calculates the Stochastic RSI for the time frames 15 min, 30 min, 1h, 4h, and 12h. However, the 15 min time frame should always be the default time frame for your chart.
IMPORTANT
* NOTE! It's extremely important that the chosen time frame for your chart is 15 min. Otherwise the Stochastic RSI for the longer time frames won’t be correctly calculated.
* Stochastic RSI will be calculated and displayed in a table for the time frames: 15 min, 30 min, 1h, 4h, 12h.
* All time frames are based on closed bars except the "15minR" that are realtime updated values calculated on a 15 min time frame.
ABOUT STOCHASTIC RSI
The Stochastic RSI (StochRSI) is a momentum indicator that ranges between 0 and 100. A Stochastic RSI value above 80 is considered overbought and below 20 is considered oversold.
By using different time frames you can get a better idea of what direction the trade could take in a "longer" perspective.
SETTINGS
1.) Length RSI = 14 (default period)
2.) Smoothing parameter of Stochastic RSI (Length Moving Average = 3) . Moving average of stochastic RSI
* By default the displayed Stochastic RSI values are smoothed values of the actual Stochastic RSI. The smoothnes is formed by a calculated moving average of with the length of 3 by default.
If you want Stochastic RSI with a sharper signal (higher risk for "false alarms" being more sensitive) change the Length Moving Average to = 1 (no smoothness at all)
You can see the selected "Length RSI" and "Length Moving Average" on top of the Stochastic RSI table.
Next version of this script will be updated with more a more flexible solution for different time frames.
* NOTE, Tradingview comes with a inbuilt Stochastic RSI. See the the chart below. The blue line in the Stochastic-RSI chart represents (K value = 3) the same value as the script calculate/display in the table.
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Global & local RSI / Flowly IndicatorsAs the terms global and local imply, global RSI describes broad relative strength, whereas local RSI describes local relative strength within the broad moves. A macro and micro view of relative strength so to speak. Global and local RSI are simply regular RSI and stochastic RSI. Local RSI extremes ( stochastic RSI oversold/overbought) often mark a pivot in RSI which naturally reflects to price. Local RSI extremes are visualized inside the global RSI bands (upper band for overbought, lower band for oversold) in a "heat map" style.
By default:
Stochastic RSI >= 75 = yellow
Stochastic RSI >= 87 = orange
Stochastic RSI >= 100 = pink
Users also have the ability smooth the RSI with their preferred smoothing method ( SMA , EMA , HMA , RMA, WMA ) and length. This leads to different behavior in RSI, rendering the typical RSI extremes (> 70 or < 30) suboptimal or even useless. By enabling adaptive bands, the extremes are readjusted based on typical RSI pivot points (median pivots ), which gives much more relevant reference points for oversold/overbought conditions in both global and local RSI. This feature can be used without smoothing, but it rarely provides a meaningful difference, unless the RSI calculation length is messed with.
Global RSI can be plotted as candles, bars or a line. Candles and bars can be useful for detecting rejections (wicks) in relative strength, the same you would with OHLC data. Sometimes there are "hidden rejections" that are visible in relative strength but not on OHLC data, which naturally gives an advantage. All colors can be adjusted in the input menu. You also have a real-time view of the current RSI states in top right corner. Available alerts are the following: global RSI overbought, global RSI oversold, local RSI overbought and local RSI oversold. Indicator
