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Volatilty

Scalper's Volatility Filter [QuantraSystems]Scalpers Volatility Filter Introduction The 𝒮𝒸𝒶𝓁𝓅𝑒𝓇'𝓈 𝒱𝑜𝓁𝒶𝓉𝒾𝓁𝒾𝓉𝓎 𝐹𝒾𝓁𝓉𝑒𝓇 (𝒮𝒱𝐹) is a sophisticated technical indicator, designed to increase the profitability of lower timeframe trading. Due to the inherent decrease in the signal-to-noise ratio when trading on lower timeframes, it is critical to develop analysis methods to inform traders of the optimal market periods to trade - and more importantly, when you shouldn’t trade. The 𝒮𝒱𝐹 uses a blend of volatility and momentum measurements, to signal the dominant market condition - trending or ranging. Legend The 𝒮𝒱𝐹 consists of a signal line that moves above and below a central zero line, serving as the indication of market regime. When the signal line is positioned above zero, it indicates a period of elevated volatility. These periods are more profitable for trading, as an asset will experience larger price swings, and by design, trend-following indicators will give less false signals. Conversely, when the signal line moves below zero, a low volatility or mean-reverting market regime dominates. This distinction is critical for traders in order to align strategies with the prevailing market behaviors - leveraging trends in volatile markets and exercising caution or implementing mean-reversion systems in periods of lower volatility. Case Study Here we can see the indicator's unique edge in action. Out of the four potential long entries seen on the chart - displayed via bar coloring, two would result in losses. However, with the power of the 𝒮𝒱𝐹 a trader can effectively filter false signals by only entering momentum-trades when the signal line is above zero. In this small sample of four trades, the 𝒮𝒱𝐹 increased the win rate from 50% to 100% Methodology The methodology behind the 𝒮𝒱𝐹 is based upon three components: By calculating and contrasting two ATR’s, the immediate market momentum relative to the broader, established trend is calculated. The original method for this can be credited to the user @xinolia A modified and smoothed ADX indicator is calculated to further assess the strength and sustainability of trends. The ‘Linear Regression Dispersion’ measures price deviations from a fitted regression line, adding further confluence to the signals representation of market conditions. Together, these components synthesize a robust, balanced view of market conditions, enabling traders to help align strategies with the prevailing market environment, in order to potentially increase expected value and win rates.
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Cryptosystemsの投稿
14
Gap Removal IndicatorThis gap indicator shows the price of your chosen instrument as if no gaps had occurred overnight. It can be especially useful on highly-volatile exchange-listed instruments that track other 24/7 assets, because the normal candlestick chart of these instruments will create a large amount of noise that may decrease the accuracy of your indicators or make the trend harder to see. Gaps are determined with the following code: daychange = ta.change(dayofmonth) gapup = daychange and open > math.max(open,close) gapdown = daychange and open < math.min(open,close) Whereas the gap value is determined by taking the overnight difference in prices: downgap_change = math.min(open,close) - open upgap_change = open - math.max(open,close) The gap changes are cumulatively added and subtracted from the initial closing price to create the gap-adjusted price. The price will depend on how many bars your subscription allows, so pay more attention to the relative differences and/or trend than the cumulative gap-adjusted price itself. The gap indicator comes pre-built with normal candlestick and Heikin-Ashi candle types, and four indicators (two EMAs, Bollinger bands, and a supertrend). All elements are configurable.
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wbburginの投稿
2
[blackcat] L2 Twisted Pair IndicatorOn the grand stage of the financial market, every trader is looking for a partner who can lead them to dance the tango well. The "Twisted Pair" indicator is that partner who dances gracefully in the market fluctuations. It weaves the rhythm of the market with two lines, helping traders to find the rhythm in the market's dance floor. Imagine when the market is as calm as water, the "Twisted Pair" is like two ribbons tightly intertwined. They almost overlap on the chart, as if whispering: "Now, let's enjoy these quiet dance steps." This is the market consolidation period, the price fluctuation is not significant, traders can relax and slowly savor every detail of the market. Now, let's describe the market logic of this code in natural language: - **HJ_1**: This is the foundation of the market dance steps, by calculating the average price and trading volume, setting the tone for the market rhythm. - **HJ_2** and **HJ_3**: These two lines are the arms of the dance partner, they help traders identify the long-term trend of the market through smoothing. - **HJ_4**: This is a magnifying glass for market sentiment, it reveals the tension and excitement of the market by calculating the short-term deviation of the price. - **A7** and **A9**: These two lines are the guide to the dance steps, they separate when the market volatility increases, guiding the traders in the right direction. - **WATCH**: This is the signal light of the dance, when the two lines overlap, the market is calm; when they separate, the market is active. The "Twisted Pair" indicator is like a carefully choreographed dance, it allows traders to find their own rhythm in the market dance floor, whether in a calm slow dance or a passionate tango. Remember, the market is always changing, and the "Twisted Pair" is the perfect dance partner that can lead you to dance out brilliant steps. The script of this "Twisted Pair" uses three different types of moving averages: EMA (Exponential Moving Average), DEMA (Double EMA), and TEMA (Triple EMA). These types can be selected by the user through exchange input. Here are the main functions of this code: 1. Defined the DEMA and TEMA functions: These two functions are used to calculate the corresponding moving averages. EMA is the exponential moving average, which is a special type of moving average that gives more weight to recent data. In the first paragraph, ema1 is the EMA of "length", and ema2 is the EMA of ema1. DEMA is 2 times of ema1 minus ema2. 2. Let users choose to use EMA, DEMA or TEMA: This part of the code provides an option for users to choose which type of moving average they want to use. 3. Defined an algorithm called "Twisted Pair algorithm": This part of the code defines a complex algorithm to calculate a value called "HJ". This algorithm involves various complex calculations and applications of EMA, DEMA, TEMA. 4. Plotting charts: The following code is used to plot charts on Tradingview. It uses the plot function to draw lines, the plotcandle function to draw candle (K-line) charts, and yellow and red to represent different conditions. 5. Specify colors: The last two lines of code use yellow and red K-line charts to represent the conditions of HJ_7. If the conditions of HJ_7 are met, the color of the K-line chart will change to the corresponding color.
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blackcat1402の投稿
4
Squeeze Momentum TD - A Revisited Version of the TTM SqueezeDescription: The "Squeeze Momentum TD" is our unique take on the highly acclaimed TTM Squeeze indicator, renowned in the trading community for its efficiency in pinpointing market momentum. This script is a tribute and an extension to the foundational work laid by several pivotal figures in the trading industry: • John Carter, for his creation of the TTM Squeeze and TTM Squeeze Pro, which revolutionized the way traders interpret volatility and momentum. • Lazybear, whose original interpretation of the TTM Squeeze, known as the "Squeeze Momentum Indicator", provided an invaluable foundation for further development. • Makit0, who evolved Lazybear's script to incorporate enhancements from the TTM Squeeze Pro, resulting in the "Squeeze PRO Arrows". Our script, "Squeeze Momentum TD", represents a custom version developed after reviewing all variations of the TTM Squeeze indicator. This iteration focuses on a distinct visualization approach, featuring an overlay band on the chart for an user-friendly experience. We've distilled the essence of the TTM Squeeze and its advanced version, the TTM Squeeze Pro, into a form that emphasizes intuitive usability while retaining comprehensive analytical depth. Features: -Customizable Bollinger Bands and Keltner Channels: These core components of the TTM Squeeze. -Dynamic Squeeze Conditions: Ranging from No Squeeze to High Compression. -Momentum Oscillator: A linear regression-based momentum calculation, offering clear insights into market trends. -User-Defined Color Schemes: Personalize your experience with adjustable colors for bands and plot shapes. -Advanced Alert System: Alerts for key market shifts like Bull Watch Out, Bear Watch Out, and Momentum shifts. -Adaptive Band Widths: Modify the band widths to suit your preference. How to use it? • Transition from Light Green to Dark Green: Indicates a potential end to the bullish momentum. This 'Bull Watch Out' signal suggests that traders should be cautious about continuing bullish trends. • Transition from Light Red to Dark Red: Signals that the bearish momentum might be fading, triggering a 'Bear Watch Out' alert. It's a hint for traders to be wary of ongoing bearish trends. • Shift from Dark Green to Light Green: This change suggests an increase in bullish momentum. It's an indicator for traders to consider bullish positions. • Change from Dark Red to Light Red: Implies that bearish momentum is picking up. Traders might want to explore bearish strategies under this condition. • Rapid Change from Light Red to Light Green: This swift shift indicates a quick transition from bearish to bullish sentiment. It's a strong signal for traders to consider switching to bullish positions. • Quick Shift from Light Green to Light Red: Demonstrates a speedy change from bullish to bearish momentum. It suggests that traders might want to adjust their strategies to align with the emerging bearish trend. Acknowledgements: Special thanks to Beardy_Fred for the significant contributions to the development of this script. This work stands as a testament to the collaborative spirit of the trading community, continuously evolving to meet the demands of diverse trading strategies. Disclaimer: This script is provided for educational and informational purposes only. Users should conduct their own due diligence before making any trading decisions.
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Trading_Paradiseの投稿
8
ATR Percentage ValuesThis indicator is created to give you the daily ATR 2% and 10% values for any product that you are looking at. The way the indicator is designed is to only show the most recent 2 and 10 percent values on any chart and will not show you any other number. If you are hovering over price that occurred in the past it will show zeros on the values. To get the right values, take your mouse off of the chart and it will show you the values. The way this indicator is coded will give you the daily ATR numbers no matter what chart timeframe you are currently looking at. The idea is to save time and make sure you do not make a mistake getting the wrong value. *** To make this show up on the status line, click on the settings, click on the style box and check the box "VALUES IN STATUS LINE" ****
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swarrenlewisの投稿
1
Volume Exhaustion [AlgoAlpha]Introducing the Volume Exhaustion by AlgoAlpha, is an innovative tool that aims to identify potential exhaustion or peaks in trading volume , which can be a key indicator for reversals or continuations in market trends 🔶. Key Features: Signal Plotting : A special feature is the plotting of 'Release' signals, marked by orange diamonds, indicating points where the exhaustion index crosses under its previous value and is above a certain boundary. This could signify critical market points 🚨. Calculation Length Customization : Users can adjust the calculation and Signal lengths to suit their trading style, allowing for flexibility in analysis over different time periods. ☝️ len = input(50, "Calculation Length") len2 = input(8, "Signal Length") Visual Appeal : The script offers customizable colors (col for the indicator and col1 for the background) enhancing the visual clarity and user experience 💡. col = input.color(color.white, "Indicator Color") col1 = input.color(color.gray, "Background Color") Advanced Volume Processing : At its core, the script utilizes a combination of Hull Moving Average (HMA) and Exponential Moving Average (EMA) applied to the volume data. This sophisticated approach helps in smoothing out the volume data and reducing lag. sv = ta.hma(volume, len) ssv = ta.hma(sv, len) Volume Exhaustion Detection : The script calculates the difference between the volume and its smoothed version, normalizing this value to create an exhaustion index (fff). Positive values of this index suggest potential volume exhaustion. f = sv-ssv ff = (f) / (ta.ema(ta.highest(f, len) - ta.lowest(f, len), len)) * 100 fff = ff > 0 ? ff : 0 Boundary and Zero Line : The script includes a boundary line (boundary) and a zero line (zero), with the area between them filled for enhanced visual interpretation. This helps in assessing the relative position of the exhaustion index. Customizable Background : The script colors the background of the chart for better readability and to distinguish the indicator’s area clearly. Overall, Volume Exhaustion is designed for traders who focus on volume analysis. It provides a unique perspective on volume trends and potential exhaustion points, which can be crucial for making informed trading decisions. This script is a valuable addition for traders looking to enhance their trading experience with advanced volume analysis tools.
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AlgoAlphaの投稿
17
Squeeze & Release [AlgoAlpha]Introduction: 💡The Squeeze & Release by AlgoAlpha is an innovative tool designed to capture price volatility dynamics using a combination of EMA-based calculations and ATR principles. This script aims to provide traders with clear visual cues to spot potential market squeezes and release scenarios. Hence it is important to note that this indicator shows information on volatility, not direction. Core Logic and Components: 🔶EMA Calculations: The script utilizes the Exponential Moving Average (EMA) in multiple ways to smooth out the data and provide indicator direction. There are specific lengths for the EMAs that users can modify as per their preference. 🔶ATR Dynamics: Average True Range (ATR) is a core component of the script. The differential between the smoothed ATR and its EMA is used to plot the main line. This differential, when represented as a percentage of the high-low range, provides insights into volatility. 🔶Squeeze and Release Detection: The script identifies and highlights squeeze and release scenarios based on the crossover and cross-under events between our main line and its smoothed version. Squeezes are potential setups where the market may be consolidating, and releases indicate a potential breakout or breakdown. 🔶Hyper Squeeze Detection: A unique feature that detects instances when the main line is rising consistently over a user-defined period. Hyper squeeze marks areas of extremely low volatility. Visual Components: The main line (ATR-based) changes color depending on its position relative to its EMA. A middle line plotted at zero level which provides a quick visual cue about the main line's position. If the main line is above the zero level, it indicates that the price is squeezing on a longer time horizon, even if the indicator indicates a shorter-term release. "𝓢" and "𝓡" characters are plotted to represent 'Squeeze' and 'Release' scenarios respectively. Standard Deviation Bands are plotted to help users gauge the extremity and significance of the signal from the indicator, if the indicator is closer to either the upper or lower deviation bands, this means that statistically, the current value is considered to be more extreme and as it is further away from the mean where the indicator is oscillating at for the majority of the time. Thus indicating that the price has experienced an unusual amount or squeeze or release depending on the value of the indicator. Usage Guidelines: ☝️Traders can use the script to: Identify potential consolidation (squeeze) zones. Gauge potential breakout or breakdown scenarios (release). Fine-tune their entries and exits based on volatility. Adjust the various lengths provided in the input for better customization based on individual trading styles and the asset being traded.
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AlgoAlphaの投稿
9
Volatility ZigZagIt calculates and plots zigzag lines based on volatility and price movements. It has various inputs for customization, allowing you to adjust parameters like source data, length, deviation, line styling, and labeling options. The indicator identifies pivot points in the price movement, drawing lines between these pivots based on the deviation from certain price levels or volatility measures. The script labels various data points at the ZigZag pivot points on the chart. These labels provide information about different aspects of the price movement and volume around these pivot points. Here's a breakdown of what gets labeled: Price Change: Indicates the absolute and average percentage change between the two pivot points. It displays the absolute or relative change in price as a percentage. Additionally, the average absolute price increase or the average rate of increase can also be labeled. Volume: Shows the total volume and average volume between the two pivot points. Number of Bars: Indicates the number of bars between the current and the last pivot point. Reversal Price: Displays the price of the reversal point (the previous pivot).
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brettkindの投稿
26
Logarithmic Volatility Direction Index [IkkeOmar]The LVDI is a Mean-Reversion Indicator. it doesn't detect trends and does not give a signal per se. What it does is tell you if we have a flashcrash based on the price action and volume that is available. It is not always easy to see with the naked eye, so this indicator can help you DCA into an asset in a smarter way, if you couple it with other trend systems. Think of this indicator like a form of a volatility index. Inputs: len and lenWMA are integers representing different lengths for calculations, and src is the data source Keep in mind that "Length" is the lookback for the WMA, and the Length smooting is the lookback for the SMA of the "volume_weighted". WMA Calculation wma_basic = math.log10(ta.wma(src, len)) This calculates the logarithm (base 10) of the Weighted Moving Average (WMA) of the source data over len periods. WMA is a type of moving average giving more importance to recent data. The reason I use log10, is to make it transformative over a longer timeframe. This makes it easier to see the growth direction. I like to use this for crypto, since there is asymetric upside. Volume Filter: average_volume = ta.sma(volume, lenWMA) volume_weighted = math.log10(wma_basic * (volume / math.log10(average_volume))) Here, the script first calculates the Simple Moving Average (SMA) of the trading volume over lenWMA periods. Then, it computes a volume-weighted value of the WMA, adjusted by the logarithmic ratio of current volume to average volume. Distance and Score Calculation: distance = math.log10(src) - math.log10(volume_weighted) score = math.sign(distance) * math.pow(math.abs(distance), 2) The script calculates the logarithmic difference between the source data and the volume-weighted WMA. The score is determined by the sign of this distance multiplied by its square. This potentially amplifies the impact of larger distances. Plotting: plot(volume_weighted, title="Volume Weighted WMA", color=color.blue, linewidth = 2) plot(ta.sma(volume_weighted, lenWMA), title="Volume Weighted WMA", color=color.rgb(189, 160, 0)) Mathematical concepts Weighted Moving Average (WMA): WMA is a moving average that assigns more weight to recent data points. The idea is that recent prices are more relevant to the current trend than older prices. Logarithms: The use of log10 (logarithm base 10) is interesting. Logarithms help in normalizing data and can make certain patterns more visible, especially when dealing with exponential growth or decay. Volume Weighting: Multiplying the WMA by the ratio of current volume to average volume (both logarithmic) integrates volume into the analysis. High trading volume can signify stronger market interest and can thus validate price movements. Distance and Score: The distance measures how far the current price is from the volume-weighted WMA on a logarithmic scale. The score squares this distance, potentially highlighting large divergences. Case example In the case above (which is a low timeframe that shouldn't be your main system) we see the blue line going up before going below the moving average line (orange). This indicates a local bottom zone. Does that mean that we wont go lower? No! What you can do is calculate a zone range. We have an average line, you can get that from the POC with the VRVP. Then you take the low and high of that zone and take the average: (3.17% + 2.33%) / 2 = 2.75% This means that we expect that the price can fall an additional 2.75%! Low and behold. When you check the same chart as above: Hope it makes sense! Stay safe everyone! Don't hesitate to ask any questions if you have any!
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IkkeOmarの投稿
Advanced Dynamic Threshold RSI [Elysian_Mind]Advanced Dynamic Threshold RSI Indicator Overview The Advanced Dynamic Threshold RSI Indicator is a powerful tool designed for traders seeking a unique approach to RSI-based signals. This indicator combines traditional RSI analysis with dynamic threshold calculation and optional Bollinger Bands to generate weighted buy and sell signals. Features Dynamic Thresholds: The indicator calculates dynamic thresholds based on market volatility, providing more adaptive signal generation. Performance Analysis: Users can evaluate recent price performance to further refine signals. The script calculates the percentage change over a specified lookback period. Bollinger Bands Integration: Optional integration of Bollinger Bands for additional confirmation and visualization of potential overbought or oversold conditions. Customizable Settings: Traders can easily customize key parameters, including RSI length, SMA length, lookback bars, threshold multiplier, and Bollinger Bands parameters. Weighted Signals: The script introduces a unique weighting mechanism for signals, reducing false positives and improving overall reliability. Underlying Calculations and Methods 1. Dynamic Threshold Calculation: The heart of the Advanced Dynamic Threshold RSI Indicator lies in its ability to dynamically calculate thresholds based on multiple timeframes. Let's delve into the technical details: RSI Calculation: For each specified timeframe (1-hour, 4-hour, 1-day, 1-week), the Relative Strength Index (RSI) is calculated using the standard 14-period formula. SMA of RSI: The Simple Moving Average (SMA) is applied to each RSI, resulting in the smoothing of RSI values. This smoothed RSI becomes the basis for dynamic threshold calculations. Dynamic Adjustment: The dynamically adjusted threshold for each timeframe is computed by adding a constant value (5 in this case) to the respective SMA of RSI. This dynamic adjustment ensures that the threshold reflects changing market conditions. 2. Weighted Signal System: To enhance the precision of buy and sell signals, the script introduces a weighted signal system. Here's how it works technically: Signal Weighting: The script assigns weights to buy and sell signals based on the crossover and crossunder events between RSI and the dynamically adjusted thresholds. If a crossover event occurs, the weight is set to 2; otherwise, it remains at 1. Signal Combination: The weighted buy and sell signals from different timeframes are combined using logical operations. A buy signal is generated if the product of weights from all timeframes is equal to 2, indicating alignment across timeframe. 3. Experimental Enhancements: The Advanced Dynamic Threshold RSI Indicator incorporates experimental features for educational exploration. While not intended as proven strategies, these features aim to offer users a glimpse into unconventional analysis. Some of these features include Performance Calculation, Volatility Calculation, Dynamic Threshold Calculation Using Volatility, Bollinger Bands Module, Weighted Signal System Incorporating New Features. 3.1 Performance Calculation: The script calculates the percentage change in the price over a specified lookback period (variable lookbackBars). This provides a measure of recent performance. pctChange(src, length) => change = src - src pctChange = (change / src ) * 100 recentPerformance1H = pctChange(close, lookbackBars) recentPerformance4H = pctChange(request.security(syminfo.tickerid, "240", close), lookbackBars) recentPerformance1D = pctChange(request.security(syminfo.tickerid, "1D", close), lookbackBars) 3.2 Volatility Calculation: The script computes the standard deviation of the closing price to measure volatility. volatility1H = ta.stdev(close, 20) volatility4H = ta.stdev(request.security(syminfo.tickerid, "240", close), 20) volatility1D = ta.stdev(request.security(syminfo.tickerid, "1D", close), 20) 3.3 Dynamic Threshold Calculation Using Volatility: The dynamic thresholds for RSI are calculated by adding a multiplier of volatility to 50. dynamicThreshold1H = 50 + thresholdMultiplier * volatility1H dynamicThreshold4H = 50 + thresholdMultiplier * volatility4H dynamicThreshold1D = 50 + thresholdMultiplier * volatility1D 3.4 Bollinger Bands Module: An additional module for Bollinger Bands is introduced, providing an option to enable or disable it. // Additional Module: Bollinger Bands bbLength = input(20, title="Bollinger Bands Length") bbMultiplier = input(2.0, title="Bollinger Bands Multiplier") upperBand = ta.sma(close, bbLength) + bbMultiplier * ta.stdev(close, bbLength) lowerBand = ta.sma(close, bbLength) - bbMultiplier * ta.stdev(close, bbLength) 3.5 Weighted Signal System Incorporating New Features: Buy and sell signals are generated based on the dynamic threshold, recent performance, and Bollinger Bands. weightedBuySignal = rsi1H > dynamicThreshold1H and rsi4H > dynamicThreshold4H and rsi1D > dynamicThreshold1D and crossOver1H weightedSellSignal = rsi1H < dynamicThreshold1H and rsi4H < dynamicThreshold4H and rsi1D < dynamicThreshold1D and crossUnder1H These features collectively aim to provide users with a more comprehensive view of market dynamics by incorporating recent performance and volatility considerations into the RSI analysis. Users can experiment with these features to explore their impact on signal accuracy and overall indicator performance. Indicator Placement for Enhanced Visibility Overview The design choice to position the "Advanced Dynamic Threshold RSI" indicator both on the main chart and beneath it has been carefully considered to address specific challenges related to visibility and scaling, providing users with an improved analytical experience. Challenges Faced 1. Differing Scaling of RSI Results: RSI values for different timeframes (1-hour, 4-hour, and 1-day) often exhibit different scales, especially in markets like gold. Attempting to display these RSIs on the same chart can lead to visibility issues, as the scaling differences may cause certain RSI lines to appear compressed or nearly invisible. 2. Candlestick Visibility vs. RSI Scaling: Balancing the visibility of candlestick patterns with that of RSI values posed a unique challenge. A single pane for both candlesticks and RSIs may compromise the clarity of either, particularly when dealing with assets that exhibit distinct volatility patterns. Design Solution Placing the buy/sell signals above/below the candles helps to maintain a clear association between the signals and price movements. By allocating RSIs beneath the main chart, users can better distinguish and analyze the RSI values without interference from candlestick scaling. Doubling the scaling of the 1-hour RSI (displayed in blue) addresses visibility concerns and ensures that it remains discernible even when compared to the other two RSIs: 4-hour RSI (orange) and 1-day RSI (green). Bollinger Bands Module is optional, but is turned on as default. When the module is turned on, the users can see the upper Bollinger Band (green) and lower Bollinger Band (red) on the main chart to gain more insight into price actions of the candles. User Flexibility This dual-placement approach offers users the flexibility to choose their preferred visualization: The main chart provides a comprehensive view of buy/sell signals in relation to candlestick patterns. The area beneath the chart accommodates a detailed examination of RSI values, each in its own timeframe, without compromising visibility. The chosen design optimizes visibility and usability, addressing the unique challenges posed by differing RSI scales and ensuring users can make informed decisions based on both price action and RSI dynamics. Usage Installation To ensure you receive updates and enhancements seamlessly, follow these steps: Open the TradingView platform. Navigate to the "Indicators" tab in the top menu. Click on "Community Scripts" and search for "Advanced Dynamic Threshold RSI Indicator." Select the indicator from the search results and click on it to add to your chart. This ensures that any future updates to the indicator can be easily applied, keeping you up-to-date with the latest features and improvements. Review Code Open TradingView and navigate to the Pine Editor. Copy the provided script. Paste the script into the Pine Editor. Click "Add to Chart." Configuration The indicator offers several customizable settings: RSI Length: Defines the length of the RSI calculation. SMA Length: Sets the length of the SMA applied to the RSI. Lookback Bars: Determines the number of bars used for recent performance analysis. Threshold Multiplier: Adjusts the multiplier for dynamic threshold calculation. Enable Bollinger Bands: Allows users to enable or disable Bollinger Bands integration. Interpreting Signals Buy Signal: Generated when RSI values are above dynamic thresholds and a crossover occurs. Sell Signal: Generated when RSI values are below dynamic thresholds and a crossunder occurs. Additional Information The indicator plots scaled RSI lines for 1-hour, 4-hour, and 1-day timeframes. Users can experiment with additional modules, such as machine-learning simulation, dynamic real-life improvements, or experimental signal filtering, depending on personal preferences. Conclusion The Advanced Dynamic Threshold RSI Indicator provides traders with a sophisticated tool for RSI-based analysis, offering a unique combination of dynamic thresholds, performance analysis, and optional Bollinger Bands integration. Traders can customize settings and experiment with additional modules to tailor the indicator to their trading strategy. Disclaimer: Use of the Advanced Dynamic Threshold RSI Indicator The Advanced Dynamic Threshold RSI Indicator is provided for educational and experimental purposes only. The indicator is not intended to be used as financial or investment advice. Trading and investing in financial markets involve risk, and past performance is not indicative of future results. The creator of this indicator is not a financial advisor, and the use of this indicator does not guarantee profitability or specific trading outcomes. Users are encouraged to conduct their own research and analysis and, if necessary, consult with a qualified financial professional before making any investment decisions. It is important to recognize that all trading involves risk, and users should only trade with capital that they can afford to lose. The Advanced Dynamic Threshold RSI Indicator is an experimental tool that may not be suitable for all individuals, and its effectiveness may vary under different market conditions. By using this indicator, you acknowledge that you are doing so at your own risk and discretion. The creator of this indicator shall not be held responsible for any financial losses or damages incurred as a result of using the indicator. Kind regards, Ely
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Elysian_Mindの投稿
2
Channel CorridorOVERVIEW The Channel Corridor indicator is designed to operate on a log chart of asset prices (e.g., BTCUSD), specifically on a weekly timeframe. The intent of the indicator is to provide a visual representation of market dynamics, focusing on a dynamically adjusted corridor around a Simple Moving Average (SMA) of an asset's price. The corridor adapts to changing market conditions. The indicator includes channels within the corridor for additional reference points. PURPOSE Trend Identification: The channel corridor can aid in visualising the overall trend, as it dynamically adjusts the corridor based on an SMA and user-defined parameters. Volatility Assessment: The width of the channel corridor can may act as a gauge of market volatility. Reversal Points: The channel corridor may signal potential trend reversals or corrections when an asset price approaches the upper or lower bounds of the corridor. Long-Term Trend Analysis: The channel corridor may aid in longer-term trend analysis. CONSIDERATIONS Validation: It's recommended that careful back-testing over historical data be done before acting on any identified opportunities. User Discretion: Trading decisions should not rely solely on this script. Users should exercise judgment and consider market conditions. CREDIT Ideation: Thanks @Sw1ngTr4der for the idea and corridor seed code
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foosmooの投稿
MAC Spikes(Adam H Grimes)From Adam H Grimes: "Introducing a New Tool: The MAC Spike" Mean Absolute Change Spikes (“MAC Spikes”). Here are the steps to calculate it: -Convert each day’s closing price to a change (difference) by subtracting it from the previous day’s closing price. -Take the absolute value of that change. -Average the past 20 days absolute values to create the baseline. -Divide today’s change by yesterday’s baseline. (Still offsetting by one day.) MAC Spikes- Indicator: -Indicator Setup: The script defines an indicator with the name "MAC Spikes", not overlaying the main chart, and allows up to 99 lines to be plotted. -User Inputs: It provides several user-configurable inputs, such as: Length for standard deviation calculation (len). -Type of spike to monitor (spikeType), with options for close, range, or open spikes. -Option to filter spikes based on a threshold (filtered). -The threshold value for spike significance (spike_thresh). -Whether to display the spike histogram (disp_Spike). -Line width for plotting (lw).
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valhalla_traderの投稿
6
SOLANA Performance & Volatility Analysis BB%Overview: The script provides an in-depth analysis of Solana's performance and volatility. It showcases Solana's price, its inverse relationship, its own volatility, and even juxtaposes it against Bitcoin's 24-hour historical volatility. All of these are presented using the Bollinger Bands Percentage (BB%) methodology to normalise the price and volatility values between 0 and 1. Key Components: Inputs: SOLANA PRICE (SOLUSD): The price of Solana. SOLANA INVERSE (SOLUSDT.3S): The inverse of Solana's price. SOLANA VOLATILITY (SOLUSDSHORTS): Volatility for Solana. BITCOIN 24 HOUR HISTORICAL VOLATILITY (BVOL24H): Bitcoin's volatility over the past 24 hours. BB Calculations: The script uses the Bollinger Bands methodology to calculate the mean (SMA) and the standard deviation of the prices and volatilities over a certain period (default is 20 periods). The calculated upper and lower bands help in normalising the values to the range of 0 to 1. Normalised Metrics Plotting: For better visualisation and comparative analysis, the normalised values for: Solana Price Solana Inverse Solana Volatility Bitcoin 24hr Volatility are plotted with steplines. Band Plotting: Bands are plotted at 20%, 40%, 60%, and 80% levels to serve as reference points. The area between the 40% and 60% bands is shaded to highlight the median region. Colour Coding: Different colours are used for easy differentiation: Solana Price: Blue Solana Inverse: Red Solana Volatility: Green Bitcoin 24hr Volatility: White Licence & Creator: The script adheres to the Mozilla Public Licence 2.0 and is credited to the author, "Volatility_Vibes". Works well with Breaks and Retests with Volatility Stop
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Siziba_Wallaceの投稿
Robust Bollinger Bands with Trend StrengthThe "Robust Bollinger Bands with Trend Strength" indicator is a technical analysis tool designed assess price volatility, identify potential trading opportunities, and gauge trend strength. It combines several robust statistical methods and percentile-based calculations to provide valuable information about price movements with Improved Resilience to Noise while mitigating the impact of outliers and non-normality in price data. Here's a breakdown of how this indicator works and the information it provides: Bollinger Bands Calculation: Similar to traditional Bollinger Bands, this indicator calculates the upper and lower bands that envelop the median (centerline) of the price data. These bands represent the potential upper and lower boundaries of price movements. Robust Statistics: Instead of using standard deviation, this indicator employs robust statistical measures to calculate the bands (spread). Specifically, it uses the Interquartile Range (IQR), which is the range between the 25th percentile (low price) and the 75th percentile (high price). Robust statistics are less affected by extreme values (outliers) and data distributions that may not be perfectly normal. This makes the bands more resistant to unusual price spikes. Median as Centerline: The indicator utilizes the median of the chosen price source (either HLC3 or VWMA) as the central reference point for the bands. The median is less affected by outliers than the mean (average), making it a robust choice. This can help identify the center of price action, which is useful for understanding whether prices are trending or ranging. Trend Strength Assessment: The indicator goes beyond the standard Bollinger Bands by incorporating a measure of trend strength. It uses a robust rank-based correlation coefficient to assess the relationship between the price source and the bar index (time). This correlation coefficient, calculated over a specified length, helps determine whether a trend is strong, positive (uptrend), negative (down trend), or non-existent and weak. When the rank-based correlation coefficient shifts it indicates exhaustion of a prevailing trend. Trend Strength" indicator is designed to provide statistically valid information about trend strength while minimizing the impact of outliers and data distribution characteristics. The parameter choices, including a length of 14 and a correlation threshold of +/-0.7, considered to offer meaningful insights into market conditions and statistical validity (p-value ,0.05 statistically significant). The use of rank-based correlation is a robust alternative to traditional Pearson correlation, especially in the context of financial markets. Trend Fill: Based on the robust rank-based correlation coefficient, the indicator fills the area between the upper and lower Bollinger Bands with different colors to visually represent the trend strength. For example, it may use green for an uptrend, red for a down trend, and a neutral color for a weak or ranging market. This visual representation can help traders quickly identify potential trend opportunities. In addition the middle line also informs about the overall trend direction of the median.
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federalTacos5392bの投稿
2
VWMA/SMA Delta Volatility (Statistical Anomaly Detector)The "VWMA/SMA Delta Volatility (Statistical Anomaly Detector)" indicator is a tool designed to detect and visualize volatility in a financial market's price data. The indicator calculates the difference (delta) between two moving averages (VWMA/SMA) and uses statistical analysis to identify anomalies or extreme price movements. Here's a breakdown of its components: Hypothesis: The hypothesis behind this indicator is that extreme price movements or anomalies in the market can be detected by analyzing the difference between two moving averages and comparing it to a statistically derived normal distribution. When the MA delta (the difference between two MAs: VWMA/SMA) exceeds a certain threshold based on standard deviation and the Z-score coefficient, it may indicate increased market volatility or potential trading opportunities. Calculation of MA Delta: The indicator calculates the MA delta by subtracting a simple moving average (SMA) from a volume-weighted moving average (VWMA) of a selected price source. This calculation represents the difference in the market's short-term and long-term trends. Statistical Analysis: To detect anomalies, the indicator performs statistical analysis on the MA delta. It calculates a moving average (MA) of the MA delta and its standard deviation over a specified sample size. This MA acts as a baseline, and the standard deviation is used to measure how much the MA delta deviates from the mean. Delta Normalization: The MA delta, lower filter, and upper filter are normalized using a function that scales them to a specific range, typically from -100 to 100. Normalization helps in comparing these values on a consistent scale and enhances their visual representation. Visual Representation: The indicator visualizes the results through histograms and channels: The histogram bars represent the normalized MA delta. Red bars indicate negative and below-lower-filter values, green bars indicate positive and above-upper-filter values, and silver bars indicate values within the normal range. It also displays a Z-score channel, which represents the upper and lower filters after normalization. This channel helps traders identify price levels that are statistically significant and potentially indicative of market volatility. In summary, the "MA Delta Volatility (Statistical Anomaly Detector)" indicator aims to help traders identify abnormal price movements in the market by analyzing the difference between two moving averages and applying statistical measures. It can be a valuable tool for traders looking to spot potential opportunities during periods of increased volatility or to identify potential market anomalies.
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tkarolakの投稿
1
ATR Adaptive RSI OscillatorThe " ATR Adaptive RSI Oscillator " is a versatile technical analysis tool designed to help traders make informed decisions in dynamic market conditions. It combines the Relative Strength Index (RSI) with the Average True Range (ATR) to provide adaptive and responsive insights into price trends. Key Features : Adaptive RSI Periods : The indicator introduces the concept of adaptive RSI periods based on the ATR (Average True Range) of the market. When enabled, it dynamically adjusts the RSI calculation period, offering longer periods during high volatility and shorter periods during low volatility. This adaptability enhances the accuracy of RSI signals across varying market conditions. Volume-Based Smoothing : The indicator includes a smoothing feature that computes a time-decayed weighted moving average of RSI values over the last two bars, using volume-based weights. This approach offers a time-sensitive smoothing effect, reducing noise for a clearer view of trend strength compared to the standard RSI. Divergence Detection : Traders can enable divergence detection to identify potential reversal points in the market. The indicator highlights regular bullish and bearish divergences, providing valuable insights into market sentiment shifts. Customizable Parameters : Traders have the flexibility to customize various parameters, including RSI length, adaptive mode, ATR length, and divergence settings, to tailor the indicator to their trading strategy. Overbought and Oversold Levels : The indicator includes overbought (OB) and oversold (OS) boundary lines that can be adjusted to suit individual preferences. These levels help traders identify potential reversal zones. The "ATR Adaptive RSI Oscillator" is a powerful tool for traders seeking to adapt their trading strategies to changing market dynamics. Whether you're a trend follower or a contrarian trader, this indicator provides valuable insights to support your decision-making process.
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tkarolakの投稿
10
Liquidity Heatmap [BigBeluga]The Liquidity Heatmap is an indicator designed to spot possible resting liquidity or potential stop loss using volume or Open interest. The Open interest is the total number of outstanding derivative contracts for an asset—such as options or futures—that have not been settled. Open interest keeps track of every open position in a particular contract rather than tracking the total volume traded. The Volume is the total quantity of shares or contracts traded for the current timeframe. 🔶 HOW IT WORKS Based on the user choice between Volume or OI, the idea is the same for both. On each candle, we add the data (volume or OI) below or above (long or short) that should be the hypothetical liquidation levels; More color of the liquidity level = more reaction when the price goes through it. Gradient color is calculated between an average of 2 points that the user can select. For example: 500, and the script will take the average of the highest data between 500 and 250 (half of the user's choice), and the gradient will be based on that. If we take volume as an example, a big volume spike will mean a lot of long or short activity in that candle. A liquidity level will be displayed below/above the set leverage (4.5 = 20x leverage as an example) so when the price revisits that zone, all the 20x leverage should be liquidated. Huge volume = a lot of activity Huge OI = a lot of positions opened More volume / OI will result in a stronger color that will generate a stronger reaction. 🔶 ROUTE Here's an example of a route for long liquidity: Enable the filter = consider only green candles. Set the leverage to 4.5 (20x). Choose Data = Volume. Process: A green candle is formed. A liquidity level is established. The level is placed below to simulate the 20x leverage. Color is applied, considering the average volume within the chosen area. Route completed. 🔶 FEATURE Possibility to change the color of both long and short liquidity Manual opacity value Manual opacity average Leverage Autopilot - set a good average automatically of the opacity value Enable both long or short liquidity visualization Filtering - grab only red/green candle of the corresponding side or grab every candle Data - nzVolume - Volume - nzOI - OI 🔶 TIPS Since the limit of the line is 500, it's best to plot 2 scripts: one with only long and another with only short. 🔶 CONCLUSION The liquidity levels are an interesting way to think about possible levels, and those are not real levels.
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BigBelugaの投稿
38
Volume [Entoryx] Certainly! Here's a more concise description for the "Entoryx Volume" indicator, with less focus on the specifics of the order block bar detection: The "Entoryx Volume" is a versatile technical indicator that analyzes the relationship between price ranges and volume over a user-defined number of bars. By calculating a delta between the highest high and lowest low, it offers insights into market momentum and direction. Key features of this indicator include: 1) Current Value Plotting: A dynamic line plotted on the chart represents the current value, which reflects market trends. The color of the line changes to green for bullish conditions and red for bearish conditions, depending on its relationship with the Exponential Moving Average (EMA) of the close. 2) Color-Coded Regions: The area between the current value plot and a baseline zero line is filled with a corresponding color, providing a visual representation of market sentiment. 3) Boundary Lines: Horizontal lines at +10 and -10 serve as reference points to highlight significant market movements. 4) Order Block Bar Detection (Optional): An optional feature that places visual markers on the chart to signal potential reversals. This can be enabled or disabled by the user, according to preference. The "Entoryx Volume" indicator is tailored for traders aiming to understand market momentum with a clear and visually intuitive display. It is suitable across various trading strategies and market conditions, with customization options to fit individual needs. The source code for this indicator is subject to the terms of the Mozilla Public License 2.0.
Pine Script® インジケーター
Entoryxの投稿
RSI Supreme Multi-Method [MyTradingCoder]Introducing the "RSI Supreme Multi-Method" indicator, a powerful tool that combines the Relative Strength Index (RSI) with selectable manipulation methods to identify overbought and oversold conditions in the market, along with the ability to detect divergences for enhanced trading insights. The indicator features four distinct manipulation methods for the RSI, each providing valuable insights into market conditions: 1. Standard RSI Method: The indicator uses the traditional RSI calculation to identify overbought and oversold areas. 2. Volatility Weighted RSI Method: This method applies a volatility formula to the RSI calculation, allowing for a more responsive indication of market conditions during periods of heightened volatility. Users can adjust the length of the volatility formula to fine-tune this method. 3. Smoothed RSI Method: The smoothed RSI method utilizes a smoothing algorithm to reduce noise in the RSI values, presenting a clearer representation of overbought and oversold conditions. The length of the smoothing can be adjusted to match your trading preferences. 4. Session Weighted RSI Method: With this innovative method, users can specify multipliers for different time sessions throughout the day to manipulate the base RSI. Each session can be customized with start and end times, enabling or disabling specific sessions, and specifying the multiplier for each session. This feature allows traders to adapt the RSI to different market sessions dynamically. Additionally, the "RSI Supreme Multi-Method" indicator draws divergences on the oscillator, providing an extra layer of analysis for traders. Divergences occur when the direction of the RSI differs from the direction of the price movement, potentially signaling trend reversals. Key Settings: RSI Length: Adjust the length of the base RSI before applying any manipulation. RSI Source: Determine the data source for the base RSI calculation. Overbought Value: Set the RSI value at which overbought conditions are indicated. Oversold Value: Set the RSI value at which oversold conditions are indicated. RSI Type: Choose from four options: Standard, Smoothed, Volatility Manipulated, or Session Manipulated. Volatility Manipulated Settings: Adjust the length of the volatility formula (applicable to Volatility Manipulated method). Smoothed Settings: Adjust the length of the smoothing (applicable to Smoothed method). Session Manipulated Settings: Customize six different time sessions with start and end times, enable or disable specific sessions, and specify multipliers for each session. Divergence Color: Adjust the color of the drawn divergences to suit your chart's aesthetics. Divergence Tuning: Fine-tune the sensitivity of the divergence detection for more accurate signals. The "RSI Supreme Multi-Method" indicator is a versatile and comprehensive tool that can be used to identify overbought and oversold areas, as well as to spot potential trend reversals through divergences. However, like all technical analysis tools, it should be used in conjunction with other indicators and analysis methods to make well-informed trading decisions. Enhance your trading insights with the "RSI Supreme Multi-Method" indicator and gain an edge in identifying critical market conditions and divergences with precision.
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JacobMaglebyの投稿
23
Buyers & Sellers / RangeBuyers & Sellers / Range Volatility oscillator that measures the relationship of Buying & Selling Pressure to True Range. In other words, how much % Buyers and Sellers separately occupy the Bar BSP is a part of Bar Range. Entire bar metrics will always have bigger value than its composite elements (body and wicks). Since there will be NO chance of BP or SP being more than ATR, their ratio would serve crucial Volatility details. Hence, we can relate each of them to the overall range. As a result we have simultaneous measurements of proportions buyers and sellers to the bar. Default mode shows BP/ATR and SP/ATR mirrored. When one rises, the other falls to compensate. Buying Pressure / True Range ⬆️🟢 ⬇️🔵 Selling Pressure / True Range ⬆️🔴 ⬇️🟠 They are being averaged in 2 different ways: Pre-average first, then relate as ratio Related first, then Averaged Enable "Preaveraged" to use already averaged BSP and Ranges in ratio instead of averaging the ratio of BSP to individual bar. For example, we're looking BP/ATR, in calculation of buyers / Range it will use "MA(Buying Pressure) / MA(True Range)" instead of "MA(Buying Pressure / True Range)". Due such calculation, it is going to be more lagging than in off mode. Nevertheless, it reduces noise from the impact of individual bar change. Second way of noise reduction is enabling "Body / Range" BSP Body / Range where Bullish & Bearish Body = Buying & Selling Pressure - Relevant Wick Buying Body = Buying Pressure - Lower Wick Selling Body = Selling Pressure - Upper Wick And only then it is divided to ATR. Note that Balance line differs because body is less than it used to be with wicks. So change in wicks won't play any role in computing the ratio anymore. Thus, signals of their crossings will be more reliable than in default mode.
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fractの投稿
2
Developing Market Profile / TPO [Honestcowboy]The Developing Market Profile Indicator aims to broaden the horizon of Market Profile / TPO research and trading. While standard Market Profiles aim is to show where PRICE is in relation to TIME on a previous session (usually a day). Developing Market Profile will change bar by bar and display PRICE in relation to TIME for a user specified number of past bars. What is a market profile? "Market Profile is an intra-day charting technique (price vertical, time/activity horizontal) devised by J. Peter Steidlmayer. Steidlmayer was seeking a way to determine and to evaluate market value as it developed in the day time frame. The concept was to display price on a vertical axis against time on the horizontal, and the ensuing graphic generally is a bell shape--fatter at the middle prices, with activity trailing off and volume diminished at the extreme higher and lower prices." For education on market profiles I recommend you search the net and study some profitable traders who use it. Key Differences Does not have a value area but distinguishes each column in relation to the biggest column in percentage terms. Updates bar by bar Does not take sessions into account Shows historical values for each bar While there is an entire education system build around Market Profiles they usually focus on a daily profile and in some cases how the value area develops during the day (there are indicators showing the developing value area). The idea of trading based on a developing value area is what inspired me to build the Developing Market Profile. 🟦 CALCULATION Think of this Developing Market Profile the same way as you would think of a moving average. On each bar it will lookback 200 bars (or as user specified) and calculate a Market Profile from those bars (range). 🔹Market Profile gets calculated using these steps: Get the highest high and lowest low of the price range. Separate that range into user specified amount of price zones (all spaced evenly) Loop through the ranges bars and on each bar check in which price zones price was, then add +1 to the zones price was in (we do this using the OccurenceArray) After it looped through all bars in the range it will draw columns for each price zone (using boxes) and make them as wide as the OccurenceArray dictates in number of bars 🔹Coloring each column: The script will find the biggest column in the Profile and use that as a reference for all other columns. It will then decide for each column individually how big it is in % compared to the biggest column. It will use that percentage to decide which color to give it, top 20% will be red, top 40% purple, top 60% blue, top 80% green and all the rest yellow. The user is able to adjust these numbers for further customisation. The historical display of the profiles uses plotchar() and will not only use the color of the column at that time but the % rating will also decide transparancy for further detail when analysing how the profiles developed over time. Each of those historical profiles is calculated using its own 200 past bars. This makes the script very heavy and that is why it includes optimisation settings, more info below. 🟦 USAGE My general idea of the markets is that they are ever changing and that in studying that changing behaviour a good trader is able to distinguish new behaviour from old behaviour and adapt his approach before losing traders "weak hands" do. A Market Profile can visually show a trader what kind of market environment we currently are in. In training this visual feedback helps traders remember past market environments and how the market behaved during these times. Use the history shown using plotchars in colors to get an idea of how the Market Profile looked at each bar of the chart. This history will help in studying how price moves at different stages of the Market Profile development. I'm in no way an expert in trading Market Profiles so take this information with a grain of salt. Below an idea of how I would trade using this indicator: 🟦 SETTINGS 🔹MARKET PROFILING Lookback: The amount of bars the Market Profile will look in the past to calculate where price has been the most in that range Resolution: This is the amount of columns the Market Profile will have. These columns are calculated using the highest and lowest point price has been for the lookback period Resolution is limited to a maximum of 32 because of pinescript plotting limits (64). Each plotchar() because of using variable colors takes up 2 of these slots 🔹VISUAL SETTINGS Profile Distance From Chart: The amount of bars the market profile will be offset from the current bar Border width (MP): The line thickness of the Market Profile column borders Character: This is the character the history will use to show past profiles, default is a square. Color theme: You can pick 5 colors from biggest column of the Profile to smallest column of the profile. Numbers: these are for % to decide column color. So on default top 20% will be red, top 40% purple... Always use these in descending order Show Market Profile: This setting will enable/disable the current Market Profile (columns on right side of current bar) Show Profile History: This setting will enable/disable the Profile History which are the colored characters you see on each bar 🔹OPTIMISATION AND DEBUGGING Calculate from here: The Market Profile will only start to calculate bar by bar from this point. Setting is needed to optimise loading time and quite frankly without it the script would probably exceed tradingview loading time limits. Min Size: This setting is there to avoid visual bugs in the script. Scaling the chart there can be issues where the Market Profile extends all the way to 0. To avoid this use a minimum size bigger than the bugged bottom box
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Honestcowboyの投稿
20
Moving Average - TREND POWER v1.1- (AS)0)NOTE: This is first version of this indicator. It's way more complicated than it should be. Check out Moving Average-TREND POWER v2.1-(AS), its waaaaay less complicated and might be better.Enjoy... 1)INTRODUCTION/MAIN IDEA: In simpliest form this script is a trend indicator that rises if Moving average if below price or falling if above and going back to zero if there is a crossover with a price. To use this indicator you will have to adjust settings of MAs and choose conditions for calculation. While using the indicator we might have to define CROSS types or which MAs to use. List of what cross types are defined in the script and Conditiones to choose from.The list will be below. 2) COMPOSITION: -MA1 can be defined by user in settings, possible types: SMA, EMA, RMA, HMA, TEMA, DEMA, LSMA, WMA. -MA2 is always ALMA 3) OVERLAY: Default is false but if you want to see MA1/2 on chart you can change code to true and then turn on overlay in settings. Most plot settings are avalible only in OV=false. if OV=true possible plots ->MA1/2, plotshape when choosen cross type if OV=false -> main indicator,TSHs,Cross counter 4)PRESETS : Indicator has three modes that can be selected in settings. First two are presets and do not require selecting conditions as they set be default. -SIMPLE - most basic -ABSOLUTE - shows only positive values when market is trending or zero when in range -CUSTOM - main and the most advanced form that will require setting conditions to use in calculating trend 4.1)SIMPLE – this is the most basic form of conditions that uses only First MA. If MA1 is below selected source (High/Low(High for Uptrend and Low for DNtrend or OHLC4) on every bar value rises by 0.02. if it above Low or OHLC4 it falls by 0.02 with every bar. If there is a cross of MA with price value is zero. This preset uses CROSS_1_ULT(list of all cross types below) 4.2) ABSOLUTE – does not show direction of the trend unlike others and uses both MA1 and MA2. Uses CROSS type 123_ULT 4.3) CUSTOM – here we define conditions manually. This mode is defined in parts (5-8 of description) 5)SETTINGS: SOURCE/OVERLAY(line1) – select source of calculation form MA1/MA2, select for overlay true (look point 3) TRESHOLDS(line2). – set upper and lower THS, turn TSHs on/off MA1(line3) – Length/type of MA/Offset(only if MA type is LSM) MA2(line4) – length/offset/sigma -(remember to set ma in the way that in Uptrend MA2MA1 in DNtrend) Use faster MA types for short term trends and slower types / bigger periods for longer term trends, defval MA1/2 settings are pretty much random so using them is not recomended. CROSSshape(line5) – choose which cross type you want to plot on chart(only in OV=true) or what type you want to use in counting via for loops, CROSScount(line6) – set lookback for type of cross choosen above BOOLs in lines 5 and 6 - plotshape if OV=true/plot CROSScount histogram (if OV=false) Lines 7 and 8 – PRESET we want to use /SRC for calculation of indicator/are conditions described below/which MAs to use/Condition for reducing value t 0 - (if PRESET is ABSOLUTE or SIMPLE only SRC should be set(Line 8 does not matter if not CUSTOM)) 5)SOURCE for CONDS: Here you can choose between H/L and OHLC. If H/L value grow when MAlow. If OHLC MAOHLC. H/L is set by default and recommended. This can be selected for all presets not only CUSTOM 6)CROSS types LIST: “1 means MA1, 2 is MA2 and 3 I cross of MA1/MA2. L stands for low and H for high so for example 2H means cross of MA2 and high” NAME -DEFINITION Number of possible crosses 1L - cross of MA1 and low 1 1H - cross of MA1 and high 1 1HL - cross of MA1 and low or MA1 and high 2 -1L/1H 2L - cross of MA2 and low 1 2H - cross of MA2 and high 1 2HL - cross of MA2 and low or MA1 and high 2 -2L/2H 12L - cross of MA1 and low or MA2 and low 2 -1L/2L 12H - cross of MA1 and high or MA2 and high 2 -1H/2H 12HL - MA1/2 and high/low 4 -1H/1L/2H/2L 3 -cross of MA1 and MA2 1 123HL -crosses from 12HL or 3 5 -12HL/3 1_ULT - cross of MA1 with any of price sources(close,low,high,ohlc4 etc…) 2_ULT - cross of MA2 with any of price sources(close,low,high,ohlc4 etc…) 123_ULT – all crosses possible of MA1/2 (all of the above so a lot) 7)CRS CONDS: “conditions to reduce value back to zero” >/< - 0 if indicator shows Uptrend and there’s a cross with high of selected MA or 0 if in DNtrend and cross with low. Better for UP/DN trend detection ALL – 0 if cross of MA with high or low no matter the trend, better for detecting consolidation ULT – if any cross of selected MA, most crosses so goes to 0 most often 8)MA selection and CONDS: -MA1: only MA1 is used,if MA1 below price value grows and the other way around MA1price =-0.02 -MA2 – only MA2 is used, same conditions as MA1 but using MA2 MA2price =-0.02 -BOTH – MA1 and MA2 used, grows when MA1 if below, grows faster if MA1 and MA2 are below and fastest when MA1 and MA2 are below and MA2price=-0.02 -MA1 and MA2 >price=-0.03 -MA1 and MA2 ?price and MA2>MA1=-0.04 9)CONDITIONS SELECTION SUMMARRY: So when CUSTOM we choose : 1)SOURCE – H/L or OHLC 2)MAs – MA1/MA2/BOTH 3)CRS CONDS (>/<,ALL,ULT) So for example... if we take MA1 and ALL value will go to zero if 1HL if MA1 and >/< - 0 if 1L or 1H (depending if value is positive or negative).(1L or 1H) If ALL and BOTH zero when 12HL If BOTH and ULT value goes back to zero if Theres any cross of MA1/MA2 with price or cross of MA1 and MA2.(123_ULT) If >/< and BOTH – 0 if 12L in DNtrend or 12H if UPtrend 10) OTHERS -script was created on EURUSD 5M and wasn't tested on different markets -default values of MA1/MA2 aren't optimalized so do not -There might be a logical error in the script so let me know if you find it (most probably in 'BOTH') -thanks to @AlifeToMake for help -if you have any ideas to improve let me know -there are also tooltips to help
Pine Script® インジケーター
Adam-Szafranskiの投稿