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Relative Strength of Volume Indicators by DGTThe Relative Strength Index (RSI) , developed by J. Welles Wilder, is a momentum oscillator that measures the speed and change of price movements. • Traditionally the RSI is considered overbought when above 70 and may be primed for a trend reversal or corrective pullback in price, and oversold or undervalued condition when below 30. During strong trends, the RSI may remain in overbought or oversold for extended periods. • Signals can be generated by looking for divergences and failure swings. If underlying prices make a new high or low that isn't confirmed by the RSI, this divergence can signal a price reversal. If the RSI makes a lower high and then follows with a downside move below a previous low, a Top Swing Failure has occurred. If the RSI makes a higher low and then follows with an upside move above a previous high, a Bottom Swing Failure has occurred • RSI can also be used to identify the general trend. In an uptrend or bull market, the RSI tends to remain in the 40 to 90 range with the 40-50 zone acting as support. During a downtrend or bear market the RSI tends to stay between the 10 to 60 range with the 50-60 zone acting as resistance This study aim to implement Relative Strength concept on most common Volume indicators, such as • Accumulation Distribution is a volume based indicator designed to measure underlying supply and demand • Elder's Force Index (EFI) measures the power behind a price movement using price and volume • Money Flow Index (MFI) measures buying and selling pressure through analyzing both price and volume (used as it is) • On Balance Volume (OBV) , created by Joe Granville, is a momentum indicator that measures positive and negative volume flow • Price Volume Trend (PVT) is a momentum based indicator used to measure money flow Plotting will be performed for regular RSI and RSI of Volume indicator (RSI(VOLX)) selected from the dialog box, where the possibility to apply smoothing is provided as option. Additionally, labels can be added optionally to display the value and name of selected volume indicator Secondly, ability to present Volume Histogram within the same study along with its Moving Average or Volume Oscillator based on selection Finally, Volume Based Colored Bars , a study of Kıvanç Özbilgiç is added to emphasis volume changes on top of the bars Nothing excessively new, the study combines RSI with; - RSI concept applied to some of the common Volume indicators presented with a highlighted over/under valued threshold area, optional labeling and smoothing, - added Volume data with additional information and - colored bars based on volume Thanks @Vishant_Meshram for the inspiration 🙏 Disclaimer: Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
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Bull vs Bear Power by DGTElder-Ray Bear and Bull Power Dr. Alexander Elder cleverly named his first indicator Elder-Ray because of its function, which is designed to see through the market like an X-ray machine. Developed in 1989, the Elder-Ray indicator can be applied to the chart of any security and helps traders determine the strength of competing groups of bulls and bears by gazing under the surface of the markets for data that may not immediately be ascertainable from a superficial glance at prices The Elder-Ray indicator is comprised by three elements – Bear Power, Bull Power and a 13-period Exponential Moving Average. As the high price of any candle shows the maximum power of buyers and the low price of any candle shows the maximum power of sellers, Elder uses the 13-period EMA in order to present the average consensus of price value. Bull power shows whether buyers are capable of pushing prices above the average consensus of value. Bear power shows whether sellers are capable of pushing prices below the average consensus of value. Mathematically, Bull power is the result of subtracting the 13-period EMA from the high price of the day, and Bear power is the result of subtracting the 13-period EMA from the low price of the day. What does this study implements Attempts to customize interpretation of Alexander Elder's Elder-Ray Indicator (Bull and Bear Power) by • adding additional insights to support/confirm Elder’s strategy with different indicators related with the Elder’s concept • providing different options of visualization of the indicator • providing smoothing capability Other Indicators to support/confirm Elder-Ray Indicator: Colored Directional Movement Index (CDMI) , a custom interpretation of J. Welles Wilder’s Directional Movement Index (DMI) , where : DMI is a collection of three separate indicators ( ADX , +DI , -DI ) combined into one and measures the trend’s strength as well as its direction CDMI is a custom interpretation of DMI which presents ( ADX , +DI , -DI ) with a color scale - representing the trend’s strength, color density - representing momentum/slope of the trend’s strength, and triangle up/down shapes - representing the trend’s direction. CDMI provides all the information in a single line with colored triangle shapes plotted on the top. DMI can provide quality information and even trading signals but it is not an easy indicator to master, whereus CDMI simplifies its usage. Alexander Elder considers the slope of the EMA, which gives insight into the recent trend whether is up or down, and CDMI adds additional insight of verifying/confirming the trend as well as its strength Note : educational content of how to read CDMI can be found in ideas section named as “Colored Directional Movement Index” different usages of CDMI can be observed with studies “Candlestick Patterns in Context by DGT", “Ichimoku Colored SuperTrend + Colored DMI by DGT”, “Colored Directional Movement and Bollinger Band's Cloud by DGT”, and “Technical Analyst by DGT” Price Convergence/Divergence , if we pay attention to mathematical formulations of bull power, bear power and price convergence/divergence (also can be expressed as price distance to its ma) we would clearly observe that price convergence/divergence is in fact the result of how the market performed based on the fact that we assume 13-period EMA is consensus of price value. Then, we may assume that the price convergence/divergence crosses of bull power, or bear power, or sum of bull and bear power could be considered as potential trading signals Additionally, price convergence/divergence visualizes the belief that prices high above the moving average or low below it are likely to be remedied in the future by a reverse price movement Alternatively, Least Squares Moving Average of Price Convergence/Divergence (also known as Linear Regression Curve) can be plotted instead of Price Convergence/Divergence which can be considered as a smoothed version of Price Convergence/Divergence Note : different usages of Price Convergence/Divergence can be observed with studies “Trading Psychology - Fear & Greed Index by DGT”, “Price Distance to its MA by DGT”, “P-MACD by DGT”, where “Price Distance to its MA by DGT” can also be considered as educational content which includes an article of a research carried on the topic Options of Visualization Bull and Bear Power plotted as two separate • histograms • lines • bands Sum of Bull and Bear Power plotted as single • histogram • line • band Others Price Convergence/Divergence displayed as Line CDMI is displayed as single colored line of triangle shapes, where triangle shapes displays direction of the trend (triangle up represents bull and triangle down represent bear), colors of CDMI displays the strength of the trend (green – strong bullish, red – strong bearish, gray – no trend, yellow – week trend) In general with this study, color densities also have a meaning and aims to displays if the value of the indicator is falling or growing, darker colors displays more intense move comparing to light one Note : band's upper and lower levels are calculated by using standard deviation build-in function with multiply factor of 0.236 Fibonacci’s ratio (just a number for our case, no any meaning) Smoothing No smoothing is applied by default but the capability is added in case Price Convergence/Divergence Line is assumed to be used as a signal line it will be worth smoothing the bear, bull or sum of bear and bull power indicators Interpreting Elder-Ray Indicator, according to Dr. Alexander Elder Bull Power should remain positive in normal circumstances, while Bear Power should remain negative in normal circumstances. In case the Bull Power indicator enters into negative territory, this implies that sellers have overcome buyers and control the market. In case the Bear Power indicator enters into positive territory, this indicates that buyers have overcome sellers and control the market. A trader should not go long at times when the Bear Power indicator is positive and he/she should not go short at times when the Bull Power indicator is negative. 13-period EMAs slope can be used in order to identify the direction of the major trend. According to Elder, the most reliable buy signals are generated, when there is a bullish divergence between the Bear Power indicator and the price (Bear Power forms higher lows, while the market forms lower lows). The most reliable sell signals are generated, when there is a bearish divergence between the Bull Power indicator and the price (Bull Power forms lower highs, while the market forms higher highs). There are four basic conditions, required to go long or short, with the use of the Elder-Ray method alone. In order to go long: 1. The market is in a bull trend, as indicated by the 13-period EMA 2. Bear Power is in negative territory, but increasing 3. The most recent Bull Power top is higher than its prior top 4. Bear Power is going up from a bullish divergence The last two conditions are optional that fine-tune the buying decision In order to go short: 1. The market is in a bear trend, as indicated by the 13-period EMA 2. Bull Power is in positive territory, but falling 3. The most recent Bear Power bottom is lower than its prior bottom 4. Bull Power is falling from a bearish divergence The last two conditions are optional, they provide a stronger signal for shorting but they are not absolutely essential If a trader is willing to add to his/her position, he/she needs to: 1. add to his/her long position, when the Bear Power falls below zero and then climbs back into positive territory 2. add to his/her short position, when the Bull Power increases above zero and then drops back into negative territory. note : terminology of the definitions used herein are as per TV dictionary Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
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Trading Psychology - Fear & Greed Index by DGTPsychology of a Market Cycle - Where are we in the cycle? Before proceeding with the question "where", let's first have a quick look at "What is market psychology?" Market psychology is the idea that the movements of a market reflect the emotional state of its participants. It is one of the main topics of behavioral economics - an interdisciplinary field that investigates the various factors that precede economic decisions. Many believe that emotions are the main driving force behind the shifts of financial markets and that the overall fluctuating investor sentiment is what creates the so-called psychological market cycles - which is also dynamic.  Stages of Investor Emotions: * Optimism  – A positive outlook encourages us about the future, leading us to buy stocks. * Excitement  – Having seen some of our initial ideas work, we begin considering what our market success could allow us to accomplish. * Thrill  – At this point we investors cannot believe our success and begin to comment on how smart we are. * Euphoria  – This marks the point of maximum financial risk. Having seen every decision result in quick, easy profits, we begin to ignore risk and expect every trade to become profitable. * Anxiety  – For the first time the market moves against us. Having never stared at unrealized losses, we tell ourselves we are long-term investors and that all our ideas will eventually work. * Denial  – When markets have not rebounded, yet we do not know how to respond, we begin denying either that we made poor choices or that things will not improve shortly. * Fear  – The market realities become confusing. We believe the stocks we own will never move in our favor. * Desperation  – Not knowing how to act, we grasp at any idea that will allow us to get back to breakeven. * Panic  – Having exhausted all ideas, we are at a loss for what to do next. * Capitulation  – Deciding our portfolio will never increase again, we sell all our stocks to avoid any future losses. * Despondency  – After exiting the markets we do not want to buy stocks ever again. This often marks the moment of greatest financial opportunity. * Depression  – Not knowing how we could be so foolish, we are left trying to understand our actions. * Hope  – Eventually we return to the realization that markets move in cycles, and we begin looking for our next opportunity. * Relief  – Having bought a stock that turned profitable, we renew our faith that there is a future in investing. It's hard to predict with certainty where we exactly are in the market cycle, we can only make an educated guess as to the rough stage based on data available. And here comes the study "Trading Psychology - Fear & Greed Index"    Factors taken into account in this study include:  1-Price Momentum : Price Divergence/Convergence versus its Slow Moving Average 2-Strenght :   Rate of Return (RoR) also called Return on Investment (ROI) is a performance measure used to evaluate the efficiency of an investment, net gain or loss of an investment over a specified time period, the rate of change in price movement over a period of time to help investors determine the strength 3-Money Flow : Chaikin Money Flow (CMF) is a technical analysis indicator used to measure Money Flow Volume over a set period of time. CMF can be used as a way to further quantify changes in buying and selling pressure and can help to anticipate future changes and therefore trading opportunities. CMF calculations is based on Accumulation/Distribution 4-Market Volatility : CBOE Volatility Index (VIX), the Volatility Index, or VIX, is a real-time market index that represents the market's expectation of 30-day forward-looking volatility. Derived from the price inputs of the S&P 500 index options, it provides a measure of market risk and investors' sentiments. It is also known by other names like "Fear Gauge" or "Fear Index." Investors, research analysts and portfolio managers look to VIX values as a way to measure market risk, fear and stress before they take investment decisions 5-Safe Haven Demand : in this study GOLD demand is assumed  What to look for : *Fear and Greed Index as explained above, *Divergencies  Tool tip of the label displayed provides details of references Conclusion: As investors, we always get caught up in the day to day price movements, and lose sight of the bigger picture. The biggest crashes happen not when investors are cautious and fearful, it's when they're euphoric and expecting financial instruments to continue going higher. So as we continue investing, don’t forget to stop and ask yourself, where in the chart do you think we are right now? The Market Psychology Cycle shines light on how emotions evolve, fear and greed index can come in handy, provided that it is not the only tool used to make investment decisions. It is easy to look back at market cycles and recognize how the overall psychology changed. Analyzing previous data makes it obvious what actions and decisions would have been the most profitable. However, it is much harder to understand how the market is changing as it goes - and even harder to predict what comes next. Many investors use technical analysis (TA) to attempt to anticipate where the market is likely to go. Investors are advised to keep tabs on fear for potential buying the dips opportunities and view periods of greed as a potential indicator that financial instruments might be overvalued. Warren Buffett's quote, buy when others are fearful, and sell when others are greedy Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Pine Script®指標
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84
Momentum adjusted Moving Average by DGTA brand new Moving Average , calculated using Momentum, Acceleration and Probability (Psychological Effect). Momentum adjusted Moving Average(MaMA) is an indicator that measures Price Action by taking into consideration not only Price movements but also its Momentum, Acceleration and Probability. MaMA, provides faster responses comparing to the regular Moving Average Here is the math of the MaMA idea Momentum measures change in price over a specified time period momentum = source – source(length) where, source, indicates current bar’s price value source(length), indicates historical price value of length bars earlier Lets play with this formula and rewrite it by moving source(length) to other side of the equation source = source(length) + momentum to avoid confusion let’s call the source that we aim to predict as adjustedSource adjustedSource = source(length) + momentum looks nice the next value of source simply can be calculated by summing of historical value of the source value and value of the momentum. I wish it was so easy, the formula holds true only when the momentum is conserved/constant/steady but momentum move up or down with the price fluctuations (accelerating or decelerating) Let’s add acceleration effects on our formula, where acceleration is change in momentum for a given length. Then the formula will become as (skipped proof part of acceleration effects, you may google for further details) adjustedSource = source(length) + momentum + 1/2 * acceleration here again the formula holds true when the acceleration is constant and once again it is not the case for trading, acceleration also changes with the price fluctuations Then, how we can benefit from all of this, it has value yet requires additional approaches for better outcome Let’s simulate behaviour with some predictive approach such as using probability (also known as psychological effect ), where probability is a measure for calculating the chances or the possibilities of the occurrence of a random event. As stated earlier above momentum and acceleration are changing with the price fluctuations, by using the probability approach we can add a predictive skill to determine the likelihood of momentum and acceleration changes (remember it is a predictive approach). With this approach, our equations can be expresses as follows adjustedSource = source(length) + momentum * probability adjustedSource = source(length) + ( momentum + 1/2 * acceleration ) * probability , with acceleration effect Finally, we plot MaMA with the new predicted source adjustedSource, applying acceleration effect is made settable by the used from the dialog box, default value is true. What to look for: • Trend Identification • Support and Resistance • Price Crossovers Recommended settings are applied as default settings, if you wish to change the length of the MaMA then you should also adjust length of Momentum (and/or Probability). For example for faster moving average such as 21 period it would be suggested to set momentum length to 13 Alternative usage , set moving average length to 1 and keep rest lengths with default values, it will produce a predictive price line based on momentum and probability. Experience acceleration factor by enabling and disabling it Conclusion MaMA provide an added level of confidence to a trading strategy and yet it is important to always be aware that it implements a predictive approach in a chaotic market use with caution just like with any indicator Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Pine Script®指標
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79
Technical Analyst by DGTWho needs a Technical Analyst? yes I can hear someone is asking for, and here is one that can help you with technical analysis The analyst will present a technical anlaysis report at a glance calculated by the most popular technical indicators , and the good part, the anlayst will do it voluntarily technical skills of the analyst: - experienced an all markets - ability to interpret moving averages - ability to interpret volume changes - ability to interpret trend folowing indicators such as: * directional movement index (dmi), identify trend strength and trend direction * complex ichimoku cloud , identify trend stregth, and tk crosses - ability to interpret oscillators such as: * relative strength index, identify oversold overbought levels, identify the rsi flow * commodity channel index, identify oversold overbought levels * awesome identify if grawing or falling * macd if bullish or bearish, and macd histogram if grawing or falling - ability to calculate probability and its trend - non-stop hardworker, - available 7/24, - highly dedicated always on duty, - open for new ideas and willing to learn - upon request the analyst will create reports with custom settings of your choise the analyst is not a decition maker, trading success is all about following your trading strategy and the analyst aims to help with the presented reports calculated by the most popular technical indicators the analyst supports 9 of the popular technical indicators and is willing to learn more , please share your comments and feedbacks and help the analyst improve skills cheers! Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Pine Script®指標
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154
Momentum Acceleration by DGTItalian physicist Galileo Galilei is usually credited with being the first to measure speed by considering the distance covered and the time it takes. Galileo defined speed as the distance covered during a period of time. In equation form, that is v = Δd / Δt where v is speed, Δd is change in distance, and Δt is change in time. The Greek symbol for delta, a triangle (Δ), means change. Is the speed getting faster or slower? Acceleration will be the answer, acceleration is defined as the rate of change of speed over a set period of time, meaning something is getting faster or slower. Mathematically expressed, acceleration denoted as a is a = Δv / Δt , where Δv is the change in speed and Δt is the change in time. How to apply in trading Lets think about Momentum, Rate of Return, Rate of Change all are calculated in almost same approach with Speed Momentum measures change in price over a specified time period, Rate of Change measures percent change in price over a specified time period, Rate of Return measures the net gain or loss over a specified time period, And Speed measures change in distance over a specified time period So we may state that measuring the change in distance is also measuring the change in price over a specified time period which is length, hence speed can be calculated as (source – source )/length and acceleration becomes (speed – speed )/length In this study acceleration is used as signal line and result plotted as arrows demonstrating bull or bear direction where direction changes can be considered as trading setups Just a little fun, since we deal with speed the short name of the study is named after famous cartoon character Speedy Gonzales Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely Disclaimer: The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
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133
Elliott Wave Oscillator Signals by DGTElliott Wave Principle , developed by Ralph Nelson Elliott, proposes that the seemingly chaotic behaviour of the different financial markets isn’t actually chaotic. In fact the markets moves in predictable, repetitive cycles or waves and can be measured and forecast using Fibonacci numbers. These waves are a result of influence on investors from outside sources primarily the current psychology of the masses at that given time. Elliott wave predicts that the prices of the a traded currency pair will evolve in waves: five impulsive waves and three corrective waves. Impulsive waves give the main direction of the market expansion and the corrective waves are in the opposite direction (corrective wave occurrences and combination corrective wave occurrences are much higher comparing to impulsive waves) The Elliott Wave Oscillator (EWO) helps identifying where you are in the 5-3 Elliott Waves, mainly the highest/lowest values of the oscillator might indicate a potential bullish/bearish Wave 3. Mathematically expressed, EWO is the difference between a 5-period and 35-period moving average based on the close. In this study instead 35-period, Fibonacci number 34 is implemented for the slow moving average and formula becomes ewo = ema(source, 5) - ema(source, 34) The application of the Elliott Wave theory in real time trading gets difficult because the charts look messy. This study (EWO-S) simplifies the visualization of EWO and plots labels on probable reversals/corrections. The good part is that all plotting’s are performed on the top of the price chart including a histogram (optional and supported on higher timeframes). Additionally optional Keltner Channels Cloud added to help confirming the price actions. What to look for: Plotted labels can be used to follow the Elliott Wave occurrences and most importantly they can be considered as signals for possible trade setup opportunities. Elliott Wave Rules and Fibonacci Retracement/Extensions are suggested to confirm the patters provided by the EWO-S Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Pine Script®指標
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295
P-MACD by DGTPrice and Moving Averages Convergence/Divergence, shortly named as P-MACD P-MACD is a trend-following momentum indicator that shows the relationship between Price and Long-term Moving Average (PMACD), and the relationship between two Moving Averages (MAMACD). P-MACD is composed of two lines, and an histogram, showing price distance (convergence/divergence) to its Long-term MA (PMACD), showing short-term MA distance (convergence/divergence) to long-term MA (MAMACD), and a histogram showing the difference (momentum) between the PMACD and MAMACD The PMACD is calculated by dividing the Price to Long-term Moving Average (200-period SMA/EMA) and finally smoothed with 9-period SMA/EMA - PMACD Line Formula : (Price / SlowMovingAverage -1) * 100 and smoothed with 9-period SMA/EMA The MAMACD is calculated by dividing the Short-term Moving Average (such as 20 SMA/EMA) to the Long-term Moving Average (such as 200-period SMA/EMA) - MAMACD Line Formula : (FastMovingAverage / SlowMovingAverage -1) * 100 The Histogram is calculated by subscripting PMACD and MAMACD - Formula : PMACD - MAMACD Optional Trend Cloud calculated based on fast and slow version of MAMACD What to look for: - Line Crosses : PMACD Line can function as a trigger(signal) for buy and sell signals. Buy when the PMACD crosses above the MAMACD line and sell - or short - when the PMACD crosses below the MAMACD line - Base Crosses : PMACD and/or MAMACD crosses above or below Baseline is another way to indicate the trend and momentum. MAMACD crosses of Baseline, MAMACD positive or negative, reflects short-term moving average crosses the long-term moving average and similarly, PMACD crosses of BaseLine, PMACD positive or negative, reflects price crosses a long-term moving average - Momentum : P-MACD helps investors understand whether the bullish or bearish movement in the price is strengthening or weakening displayed with a histogram which graphs the distance between the PMACD and MAMACD. Additionally, upward momentum is confirmed with a bullish crossover, which occurs when PMACD and/or MAMACD crosses above Baseline. Conversely, downward momentum is confirmed with a bearish crossover, which occurs when PMACD and/or MAMACD crosses below Baseline - Distance : Prices high above the moving average (MA) or low below it are likely to be remedied in the future by a reverse price movement. The more distant the PMACD is above or below its baseline indicates that the distance between the Price and its SMA is growing (regarding PMACD, You may find a detailed article explained in “Price Distance to its MA” indicator by DGT) . Similarly the more distant the MAMACD is above or below its baseline indicates that the distance between the two SMAs is growing - Trend : A rising P-MACD indicates an uptrend, while a declining P-MACD indicates a downtrend MACD vs. P-MACD MACD measures the relationship between two MAs, while the P-MACD measures both the relationship between price and its MA, and the relationship between two MAs. MAMACD Line of P-MACD If set to same moving average type and same lengths as in MACD will produce the same line as MACD line, only values are represented as percentage with MAMACD. Both measure momentum in a market, but, because they measure different factors, they differentiate from each other even if they have similarities in presentation. P-MACD provides additional insights, not only to MA relation but also to Price and MA relation Warning : Moving Average are calculated based on past prices, so they are lagging. The longer the time period for the moving average, the greater the lag as well as less sensitive to price changes. This study implements usage of 200-period long-term moving average, which implies that the P-MACD will provide insight especially for long-term trades, more suited for long-term trades, usage of P-MACD for short-term trades is recommend with lower timeframes (1H or lower). Indicators aim to generate a potential signal/indication of an upcoming opportunity, but, the Indicators themselves do not guarantee the future movement of a given financial instrument, and are most useful when used in combination with other techniques. Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
Pine Script®指標
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13
HTF Candlestick Patterns [TradingView] vX by DGTCandlesticks are graphical representations of price movements for a given period of time. They are commonly formed by the opening, high, low, and closing prices of a financial instrument. They have their origins in the centuries-old Japanese rice trade and have made their way into modern day price charting. It’s important to note that candlestick patterns aren’t necessarily a buy or sell signal by themselves. They are instead a way to look at market structure and a potential indication of an upcoming opportunity. It is always useful to look at candlestick patterns in context like any other market analysis tool and candlestick patterns are most useful when used in combination with other techniques. There are countless candlestick patterns that traders can use to identify areas of interest on a chart, where some candlestick patterns may provide insights into the balance between buyers and sellers, others may indicate a reversal, continuation, or indecision. Reversal patterns are quite useful when used in context. Reversal patterns should form at the bottom of a downtrend or at the top of an uptrend. Otherwise, they are not a reversal patterns, but continuation patterns. Most reversal patterns require confirmation such as price move in the direction of reversal accompanied by appropriate trading volume. The reversal patterns can further be confirmed through other means of traditional technical analysis—like trend lines, momentum, oscillators, or volume indicators—to reaffirm buying or selling pressure. The patterns themselves do not guarantee that the trend will reverse. Investors should always confirm reversal by the subsequent price action before initiating a trade. This study implements some of the most commonly used candlestick patterns in a context with directional movement indicator. On request users can adjust the strong trend threshold from dialog box, eighter can disabled correlation with directional movement indicator. To add additional sight to analysis the simple moving averages of 20, 50, 100 and 200 periods are added (configurable) You may add additional indicators of your choice. Colored DMI, BB Cloud or Price Distance to its MAs may help Enjoy it! Disclaimer: The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
Pine Script®指標
由dgtrd提供
18
VAMA Volume Adjusted Moving AverageRichard Arms' Volume Adjusted Moving Average Settings: • Inp Avg Vol: Input - Purist method but not intended for live analysis, to retroactively alter MA curve enter Avg Vol from value shown on label into Use Avg Vol field. • Inp Avg Vol: Current - Live method using current volume , to retroactively alter past MA curve toggle any setting back and forth to force recalculation. • Inp Avg Vol: Subset - Similar to Current, but uses a subset rather than all bars for avg vol. • Use Avg Vol - Used for Inp Avg Vol: Input mode. Enter volume from Avg Vol label here after each new bar closes, label will turn green, else red. • Subset Data - Lookback length used for Inp Avg Vol: Subset mode. • VAMA Length - Specified number of volume ratio buckets to be reached. • Volume Incr - Size of volume ratio buckets. • VAMA Source - Price used for volume weighted calculations. • VAMA Strict - Must meet desired volume requirements, even if N bars has to exceed VAMA Length to do it. • Show Avg Vol Label - Displays label on chart of total chart volume. Notes: VAMA was created by Richard Arms. It utilizes a period length that is based on volume increments rather than time. It is an unusual indicator in that it cannot be used in some platforms in realtime mode as Arms had originally intended. VAMA requires that the average volume first be calculated for the entire chart duration, then that average volume is used to derive the variable adaptive length of the moving average. The consequence of this is that with each new bar, the new average volume alters the moving average period for the entire history. Since Pine scripts evaluate all historical bars only once upon initial script execution, there is no way to automatically shift the previous moving average values retroactively once a new bar has formed. Thus the historical plot of the moving average cannot be updated in realtime, but instead can only plot through previous bar that existed upon load or reinitialization through changing some setting. Setting Use Avg Vol to Input mode the average volume through previous bar shown in label can be entered (input) into the Inp Avg Vol setting after each new bar closes. Entering this total chart volume forces the script to reevaluate historical bars which in turn allows the historical moving average to update the plot. When using Input mode the color of the label is green when Inp Avg Vol value matches current label value, the label color red signifies Inp Avg Vol value has not been entered or is stale. Setting Use Avg Vol to Current mode allows the script to correctly calculate and plot the correct moving average upon initial load and the realtime moving average moving forward, but can not retroactively alter the plot of the past moving average unless some change is made in the script settings, such as toggling the Use Avg Vol from Current to some other choice and then back to Current . Setting Use Avg Vol to Subset mode uses a rolling window of volume data to calculate the average volume and can be used in realtime, but should be noted it is a deviation from Richard Arms' original specification. VAMA info: "Trading Without Fear" by Richard W Arms, Jr, www.fidelity.com NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
Pine Script®指標
由allanster提供
30
Dual SuperTrend, Ichimoku and DMI Color Weighted by DGTThis study interprets SuperTrend with Ichimoku Cloud, one of the popular technical analysis indicator, and interprets Directional Movement (DMI), which is another quite valuable technical analysis indicator. Then combines the interpreted SuperTrend with interpreted Directional Movement (DMI) and Volume Based Colored Bars indicator created by Kıvaç ÖZBİLGİÇ (permission has been granted from the author) Here are details of the concept applied 1- SuperTrend Line colored based on Ichimoku Cloud Definition The Ichimoku Cloud, developed by Goichi Hosoda and published in the late 1960s, is a collection of technical indicators that give it a unique capacity to show support and resistance levels, momentum and trend direction What Does the Ichimoku Cloud Tells? The overall trend is up when price is above the cloud, known as Kumo Cloud, down when price is below the Kumo Cloud, and trendless or transitioning when price is in the Kumo Cloud When Senkou Span A (Leading Span A) is rising and above Senkou Span B (Leading Span B), this helps confirm the uptrend and space between the lines is typically colored green. When Senkou Span A is falling and below Senkou Span B, this helps confirm the downtrend. The space between the lines is typically colored red Traders often use the Kumo Cloud as an area of support and resistance depending on the relative location of the price. The Kumo Cloud provides support/resistance levels that can be projected into the future. This sets the Ichimoku Cloud apart from many other technical indicators that only provide support and resistance levels for the current date and time Crossovers, also known as TK Cross among Ichimoku Cloud traders, are another way the indicator can be used. Watch for the Tenkan-Sen Line, or Conversion Line, to move above the Kijun-Sen Line, or Base Line, especially when price is above the Kumo cloud. This can be a powerful buy signal. One option is to hold the trade until the Tenkan-Sen drops back below the Kijun-Sen Line. Any of the other lines could be used as exit points as well. With this study: Allow Traders to use the Ichimoku Cloud in conjunction with other technical indicators to maximize their risk-adjusted returns The Ichimoku Cloud can make a chart look busy with all the lines. To Remedy this a different approach is applied in this study showing the Price and the Kumo Cloud relation as well as TK Crosses displayed. The SuperTrend Indicator is chosen to display Ichimoku Indicator, where the SuperTrend is another trend following indicator. How it works: SuperTrend Line is colored as: Green when the Price is above the Kumo Cloud Red when the Price is below the Kumo Cloud Black when the Price is within the Kumo Cloud And Finally Blue when the Kumo Cloud Is not ready to be drawn or not Kumo Cloud available Additionally intensity of the colors used in all cases above are defined by values of Tenkan-Sen and Kijun-Sen Line, which allows us to detect TK Crosses 2- Plots Colored Directional Movement Line Definition Directional Movement (DMI) (created by J. Welles Wilder ) is actually a collection of three separate indicators combined into one. Directional Movement consists of the Average Directional Index (ADX) , Plus Directional Indicator (+D I) and Minus Directional Indicator (-D I) . ADX's purposes is to define whether or not there is a trend present. It does not take direction into account at all. The other two indicators (+DI and -DI) are used to compliment the ADX. They serve the purpose of determining trend direction. By combining all three, a technical analyst has a way of determining and measuring a trend's strength as well as its direction. This study combines all three lines in a single colored shapes series plotted on the top of the price chart indicating the trend strength with different colors and its direction with triangle up and down shapes. What to look for Trend Strength : Analyzing trend strength is the most basic use for the DMI. Wilder believed that a DMI reading above 25 indicated a strong trend, while a reading below 20 indicated a weak or non-existent trend Crosses : DI Crossovers are the significant trading signal generated by the DMI With this study A Strong Trend is assumed when ADX >= 25 Bullish Trend is defined as (+D I > -DI ) and (ADX >= 25), which is plotted as green triangle up shape on top of the price chart Bearish Trend is defined as (+D I < -DI ) and (ADX >= 25), which is plotted as red triangle down shape on top of the price chart Week Trend is assumed when 17< ADX < 25, which is plotted as black triangles up or down shape, depending on +DI-DI values, on top of the price chart Non-Existent Trend is assumed when ADX < 17, which is plotted as yellow triangles up or down shape, depending on +DI-DI values, on top of the price chart Additionally intensity of the colors used in all cases above are defined by comparing ADX’s current value with its previous value 3- Volume Based Colored Bars indicator created by Kıvaç ÖZBİLGİÇ Volume Based Colored Bars colors the bars into volume weighted signals increasing the visibility of the Volume changes. Intensity of the colors of the bars varies according to average value of the volume for given length of bars (default value set to 30 bars) Disclaimer: The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
Pine Script®指標
由dgtrd提供
47
Colored Directional Movement and Bollinger Band's Cloud by DGTThis study combines Bollinger Bands, one of the most popular technical analysis indicators on the market, and Directional Movement (DMI), which is another quite valuable technical analysis indicator. Bollinger Bands used in conjunction with Directional Movement (DMI) may help getting a better understanding of the ever changing landscape of the market and perform more advanced technical analysis Here are details of the concept applied 1- Plots Bollinger Band’s (BB) Cloud colored based on Bollinger Band Width (BBW) Indicator’s value Definition Bollinger Bands (created by John Bollinger ) are a way to measure volatility . As volatility increases, the wider the bands become and similarly as volatility decreases, the gap between bands narrows Bollinger Bands, in widely used approach, consist of a band of three lines. Likewise common usage In this study a band of five lines is implemented The line in the middle is a Simple Moving Average (SMA) set to a period of 20 bars (the most popular usage). The SMA then serves as a base for the Upper and Lower Bands. The Upper and Lower Bands are used as a way to measure volatility by observing the relationship between the Bands and price. the Upper and Lower Bands in this study are set to two and three standard deviations (widely used form is only two standard deviations) away from the SMA (The Middle Line), hence there are two Upper Bands and two Lower Bands. The background between two Upper Bands is filled with a green color and the background between two Lower Bands is filled with a red color. In this we have obtained Bollinger Band’s (BB) Clouds (Upper Cloud and Lower Cloud) Additionally the intensity of the color of the background is calculated with Bollinger Bands Width ( BBW ), which is a technical analysis indicator derived from the standard Bollinger Bands indicator. Bollinger Bands Width, quantitatively measures the width between the Upper and Lower Bands. In this study the intensity of the color of the background is increased if BBW value is greater than %25 What to look for Price Actions : Prices are almost always within the bands especially at this study the bands of three standard deviations away from the SMA. Price touching or breaking the BB Clouds could be considered as buying or selling opportunity. However this is not always the case, there are exceptions such as Walking the Bands. “Walking the Bands” can occur in either a strong uptrend or a strong downtrend. During a strong trend, there may be repeated instances of price touching or breaking through the BB Clouds. Each time that this occurs, it is not a signal, it is a result of the overall strength of the move. In this study in order to get a better understanding of the trend and add ability to perform some advanced technical analysis Directional Movement Indicator (DMI) is added to be used in conjunction with Bollinger Bands. Cycling Between Expansion and Contraction : One of the most well-known theories in regards to Bollinger Bands is that volatility typically fluctuates between periods of expansion (Bands Widening : surge in volatility and price breaks through the BB Cloud) and contraction (Bands Narrowing : low volatility and price is moving relatively sideways). Using Bollinger Bands in conjunction with Bollinger Bands Width may help identifying beginning of a new directional trend which can result in some nice buying or selling signals. Of course the trader should always use caution 2- Plots Colored Directional Movement Line Definition Directional Movement (DMI) (created by J. Welles Wilder ) is actually a collection of three separate indicators combined into one. Directional Movement consists of the Average Directional Index (ADX) , Plus Directional Indicator (+D I) and Minus Directional Indicator (-D I) . ADX's purposes is to define whether or not there is a trend present. It does not take direction into account at all. The other two indicators (+DI and -DI) are used to compliment the ADX. They serve the purpose of determining trend direction. By combining all three, a technical analyst has a way of determining and measuring a trend's strength as well as its direction. This study combines all three lines in a single colored shapes series plotted on the top of the price chart indicating the trend strength with different colors and its direction with triangle up and down shapes. What to look for Trend Strength : Analyzing trend strength is the most basic use for the DMI. Wilder believed that a DMI reading above 25 indicated a strong trend, while a reading below 20 indicated a weak or non-existent trend Crosses : DI Crossovers are the significant trading signal generated by the DMI With this study A Strong Trend is assumed when ADX >= 25 Bullish Trend is defined as (+D I > -DI ) and (ADX >= 25), which is plotted as green triangle up shape on top of the price chart Bearish Trend is defined as (+D I < -DI ) and (ADX >= 25), which is plotted as red triangle down shape on top of the price chart Week Trend is assumed when 17< ADX < 25, which is plotted as black triangles up or down shape, depending on +DI-DI values, on top of the price chart Non-Existent Trend is assumed when ADX < 17, which is plotted as yellow triangles up or down shape, depending on +DI-DI values, on top of the price chart Additionally intensity of the colors used in all cases above are defined by comparing ADX’s current value with its previous value Summary of the Study: Even more simplified and visually enhanced DMI drawing comparing to its classical usage (may require a bit practice to get used to it) As said previously, to get a better understanding of the trend and add ability to perform some advanced technical analysis Directional Movement Indicator (DMI) is used in conjunction with Bollinger Bands. PS: Analysis and tests are performed with high volatile Cryptocurrency Market Source of References : definitions provided herein are gathered from TradingView’s knowledgebase/library Disclaimer: The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
Pine Script®指標
由dgtrd提供
19
Interquartile rangeThis script plots the Interquartile range (difference between 3rd and 1st quartile), providing useful infos about price distribution and volatility . It is designed to work paired with my other script "Moving percentiles channel", but you can also use it alone. Features: - You can compute the percentiles using Linear interpolation or Nearest Rank methods - You can plot not only the Interquartile range, but also the range (difference between 100th and 0 percentiles) or a User defined range (you have to select which percentiles you want to use from the settings) - The script also plots a signal line that you can use to obtain signals when the Range line crosses the signal line itself. You can plot the signal line using many different MAs ( SMA , EMA , DEMA , TEMA , WMA , VWMA , HMA , ALMA , LSMA , FRAMA ). - It also plots an histogram that represents the difference between the Range and the Signal line. It will be green colored when positive, and red colored when negative. Please show me your support and follow me if you like my scripts. Many more of them are coming in the future. @ Bezzus
Pine Script®指標
由Bezzus提供
Trend Following Moving AveragesWhile analysing a chart, one of the biggest problem is to see if there is trend or not. While thinking about it, I found the idea to analyse moving averages in channel and their momentum according to channel width. I already published it as Trend Following Bar as you see at bottom of the chart. How it Works? On each bar it creates a channel by highest/lowest point of a MA. highest point is upper line and lowest point is lower line of the MA channel, It gets highest and lowest point of last 300 bars, (say Price Channel ) If the width of MA channel is greater than certain rate of price channel then it decides there is trend After it decided there is trend, it calculates the rate between channel and MA. Bigger result means stronger trend. According to rate of MA channel and the price channel , MA Line becomes lighter/darker. so when you look at the MA Line's color you can see the trend strength. Some details about my idea: Options: You can choose following MA types as source: EMA, SMA , RMA, WMA , VWMA "Period to Check Trend" is the period to create MA channel. Bigger period cause more sensitivity. "Trend Channel Rate %" is rate of price channel . Price channel created by using highest/lowest of last 300 bars. I did this to make the script works on all time frames correctly. "Use Linear Regression" is used to get rid of noise. it may cause 1-2 bars latency. Trend Following Bar script: All comments are welcome!. Enjoy!
Pine Script®指標
由LonesomeTheBlue提供
23
Smooth Moving Average Ribbon [STUDY] @PuppyTherapyThe Smooth moving average ribbon script is an enhancement of the script I posted yesterday. But will help you also create a very simple trend-following strategy or a simple trend-following filter. You are able to select from a large variety of moving averages add Heikin Ashi Candles as a source and also add additional smoothing to every single of the moving averages. The Study script is equipped with alerts. It is a showcase that a simple strategy like buy when we going up and sell when we going down actually works especially on a bigger timeframe. Thanks to all supporters and everget for some of the moving average scripts.
Pine Script®指標
由QuantTherapy提供
Ehlers FilterThis is the Adaptive Ehlers Filter. I had to unroll the for loops and array because TV is missing crucial data structures and data conversions (Arrays and series to integer conversion for values). I'm in the process of releasing some scripts. This is a very old script I had. This contains volatility ranges and can be used as trading signals. You can also see how the EF moves up or down, the direction, when price is sideways, and use price breaks up and down as signals from the line. Have fun, because I didn't making this script hahaha NOTE : There is an issue with the script where at certain time frames it positions itself below or above. I think its due to calculations. If anyone knows the fix before I get the chance to take a look at it, please let me know. books.google.com
Pine Script®指標
由anoojpatel提供
Securities day session - Opening-Range- Jayy Opening Range (OR) for regular daytime session eg NYSE 0 930hrs to 1600 hrs. This is not for Forex sessions which is addressed in a separate script. This script fixes two issues: syntax error when code compiles flaky plotting of the opening range and targets that required page reloading Additions: In this code there are more more opening range time period choices at the bottom of the format dialogue box Opening Range Targets: Opening Range Targets as per Leaf_West Targets are set at 127% , 162%, 200 %, 262 %, 362%, 423%, 685%, 1109% and 1794% and this can be traded intraday using methods described at charts-by-leaf.com I also have some Leaf West PDFs that describe how the targets are set and how they are traded. There are others that use opening range. See the notes in the script for more detail. My first opening range script originated from work done by Chris Moody. This script has changed significantly but there are small remnants of Chris Moody's script lurking within. This script is available to all. Cheers Jayy
Pine Script®指標
由jayy提供
18
[LAVA] Relative Price DifferenceThis script shows the relative price difference based off the last high and low, so many bars ago. Bollinger bands are also included by default for closer inspection on the intensity of the movement or the lack thereof. Bollinger bands will follow the smoothed line which will allow the reactionary line to cross the boundary during an intense movement. With the colors selected, a gray color will appear after the color to the zero line to announce a deep correction is possible. Buy/Sell indicators show up as crosses to indicate when the price is moving in a certain direction. Sideways stagnation will have several crosses due to the close proximity to the zero line. I use 21 in the demo here without the bollinger bands or buy/sell indicators to show the power of the script to identify bottoms and tops using the tips and hand drawn trendlines. (This script is actually the same script as before, but listed here as the final version. Hopefully this will be my last update with this script.) If you use and enjoy this script, please like it!
Pine Script®指標
由Ni6HTH4wK提供
7 EMA CloudThe "7 EMA Cloud" script was likely flagged because it reuses the core concept of EMA clouds (shading areas between multiple EMAs to visualize trends, support/resistance, and momentum) without crediting the original inventor, Ripster (author ripster47 on TradingView). This concept is prominently associated with Ripster's "EMA Clouds" indicator, which popularized filling spaces between EMA pairs for trading signals. TradingView's house rules require crediting authors when reusing open-source ideas or code, even if not a direct copy-paste, and mandate significant improvements where the original forms a small proportion of the script. Your version adds features like multiple color modes (Classic rainbow, Monochrome, Heatmap), customizable signal sizes, and crossover alerts between the first and last EMA, which are enhancements, but the foundational EMA ribbon/cloud idea needs explicit attribution in the description and ideally code comments to comply. Additionally, the description might be seen as not fully self-contained (e.g., it uses promotional language like "Advanced" and "Adaptive Trend & Signal Suite" without deeply explaining calculations or use cases), potentially violating rules against relying on code or external references for clarity. To fix this, republish a new version with proper credits, ensure the description is detailed and standalone, and emphasize your improvements (e.g., the 7 Fibonacci-based EMAs, color modes, and signals). Do not reuse the flagged script—create a fresh one. Here's a compliant description you can use: 7 EMA Cloud Indicator Overview The 7 EMA Cloud overlays seven exponential moving averages (EMAs) with Fibonacci-inspired periods and fills the spaces between them with customizable "clouds" to visually represent trend strength, direction, and convergence/divergence. It includes crossover signals between the shortest and longest EMAs for potential entry/exit points, with adjustable visual modes for different trading styles. This helps traders identify bullish/bearish momentum, support/resistance zones, and overextensions in trending or ranging markets. This script builds on the EMA cloud concept popularized by Ripster (ripster47) in their "EMA Clouds" indicatortradingview.com, where areas between EMA pairs are shaded for trend analysis. Improvements include a fixed set of 7 Fibonacci EMAs, multiple color schemes (Classic rainbow, Monochrome grayscale, Heatmap for intensity), user-selectable signal sizes, and transparency controls. Released under the Mozilla Public License 2.0. Key Features 7 EMAs with Clouds: EMAs at periods 8, 13, 21, 34, 55, 89, and 144; clouds filled between consecutive pairs to show alignment (tight clouds for consolidation, wide for trends). Color Modes: Classic: Rainbow gradients (blue to purple) for vibrant distinction. Monochrome: Grayscale shades for minimalistic charts. Heatmap: Red-to-blue spectrum to highlight "hot" (volatile) vs. "cool" (stable) areas. Crossover Signals: Triangle markers (up for bullish, down for bearish) when the shortest EMA crosses the longest; sizes from Tiny to Huge. Display Options: Toggle EMA lines on/off, adjust cloud transparency (0-100%), and enable alerts for crossovers. Alerts: Notifications for "Bullish EMA Crossover" (EMA1 > EMA7) and "Bearish EMA Crossover" (EMA1 < EMA7). How It Works EMA Calculations: Each EMA is computed using ta.ema(close, period), with periods based on Fibonacci sequences for natural market rhythm alignment. Clouds: Filled via fill() between plot pairs, with colors derived from the selected mode and transparency applied. Signals: Detected with ta.crossover(ema1, ema7) and ta.crossunder(ema1, ema7), plotted as shapes with mode-specific colors (e.g., green/lime for bull, red for bear). Customization: Inputs grouped into EMA Settings (periods), Display Settings (visibility, colors, transparency), and Signal Settings (size). Customization Options EMA Periods: Individually adjustable (defaults: 8, 13, 21, 34, 55, 89, 144). Show EMAs: Toggle to hide lines and focus on clouds. Cloud Transparency: 0% for solid fills, 100% for invisible (default 80%). Color Mode: Switch between Classic, Monochrome, or Heatmap. Signal Size: Tiny, Small, Normal, Large, or Huge for crossover markers. Ideal Use Case Suited for swing or trend-following on any timeframe (e.g., 15m-1h for intraday, daily for swings) and assets (stocks, forex, crypto, futures). Enter long on bullish crossovers above aligned clouds; exit on bearish signals or cloud widenings. Use Monochrome for clean charts or Heatmap for volatility emphasis. Combine with volume or RSI for confirmation. Why It's Valuable By expanding Ripster's EMA cloud idea with multi-mode visuals and integrated signals, this indicator provides a versatile, at-a-glance tool for trend assessment—reducing noise while highlighting key shifts. It's more adaptive than basic MA ribbons, with Fibonacci periods adding a layer of harmonic analysis. Note: Test on historical data or demo accounts. Not financial advice—incorporate risk management. Optimized for Pine Script v5; some features may vary on non-overlay charts.
Pine Script®指標
由charleyRT提供
Bitcoin Power LawThis is the main body version of the script. The Oscillator version can be found here. Understanding the Bitcoin Power Law Model Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship. By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges. In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term. The Bitcoin Power Law has the following function: Power Law = 10^(a + b * log10(d)) Consisting of the following parameters: a: Power Law Intercept (default: -17.668). b: Power Law Slope (default: 5.926). d: Number of days since a reference point(calculated by counting bars from the reference point with an offset). Explanation of the a and b parameters: Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post. Applying vertical shifts to generate the other lines: Once the initial power-law is created, additional lines are generated by applying a vertical shift. This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept. In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest): Base Power Law Line (no shift) 1-year shifted line 2-year shifted line 3-year shifted line 4-year shifted line 5-year shifted line The six power law lines: Bitcoin Power Law Oscillator This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula: log10(x) . The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula: normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line) Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines. Interpretation of the Bitcoin Power Law Model: The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.). By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame. On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines. In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples: Example 1: In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support at point B (Note: Vertical yearly grid lines have been added for this purpose👍). Example 2: In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point D, now aligning with the Base Power Law Line. Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe : Example 3: In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
Pine Script®指標
由Cryptonerds提供
ICT Swiftedge# ICT SwiftEdge: Advanced Market Structure Trading System **Overview** ICT SwiftEdge is a powerful trading system built upon the foundation of ICTProTools' ICT Breakers, licensed under the Mozilla Public License 2.0 (mozilla.org). This script has been significantly enhanced by to combine market structure analysis with modern technical indicators and a sleek, AI-inspired statistics dashboard. The goal is to provide traders with a comprehensive tool for identifying high-probability trade setups, managing exits, and tracking performance in a visually intuitive way. **Credits** This script is a derivative work based on the original "ICT Breakers" by ICTProTools, used with permission under the Mozilla Public License 2.0. Significant enhancements, including RSI-MA signals, trend filtering, dynamic timeframe adjustments, dual exit strategies, and an AI-style statistics dashboard, were developed by . We express our gratitude to ICTProTools for their foundational work in market structure analysis. **What It Does** ICT SwiftEdge integrates multiple trading concepts to help traders identify and manage trades based on market structure and momentum: - **Market Structure Analysis**: Identifies Break of Structure (BOS) and Market Structure Shift (MSS) patterns, which signal potential trend continuations or reversals. BOS indicates a continuation of the current trend, while MSS highlights a shift in market direction, providing key entry points. - **RSI-MA Signals**: Generates "BUY" and "SELL" signals when BOS or MSS patterns align with the Relative Strength Index (RSI) smoothed by a Moving Average (RSI-MA). Signals are filtered to occur only when RSI-MA is above 50 (for buys) or below 50 (for sells), ensuring momentum supports the trade direction. - **Trend Filtering**: Prevents multiple signals in the same trend, ensuring only one buy or sell signal per trend direction, reducing noise and improving trade clarity. - **Dynamic Timeframe Adjustment**: Automatically adjusts pivot points, RSI, and MA parameters based on the selected chart timeframe (1M to 1D), optimizing performance across different market conditions. - **Flexible Exit Strategies**: Offers two user-selectable exit methods: - **Trailing Stop-Loss (TSL)**: Exits trades when price moves against the position by a user-defined distance (in points), locking in profits or limiting losses. - **RSI-MA Exit**: Exits trades when RSI-MA crosses the 50 level, signaling a potential loss of momentum. - Users can enable either or both strategies, providing flexibility to adapt to different trading styles. - **AI-Style Statistics Dashboard**: Displays real-time trade performance metrics in a futuristic, neon-colored interface, including total trades, wins, losses, win/loss ratio, and win percentage. This helps traders evaluate the system's effectiveness without external tools. **Why This Combination?** The integration of these components creates a synergistic trading system: - **BOS/MSS and RSI-MA**: Combining market structure breaks with RSI-MA ensures entries are based on both price action (structure) and momentum (RSI-MA), increasing the likelihood of high-probability trades. - **Trend Filtering**: By limiting signals to one per trend, the system avoids overtrading and focuses on significant market moves. - **Dynamic Adjustments**: Timeframe-specific parameters make the system versatile, suitable for scalping (1M, 5M) or swing trading (4H, 1D). - **Dual Exit Strategies**: TSL protects profits during trending markets, while RSI-MA exits are ideal for range-bound or reversing markets, catering to diverse market conditions. - **Statistics Dashboard**: Provides immediate feedback on trade performance, enabling data-driven decision-making without manual tracking. This combination balances technical precision with user-friendly visuals, making it accessible to both novice and experienced traders. **How to Use** 1. **Add to Chart**: Apply the script to any TradingView chart. 2. **Configure Settings**: - **Chart Timeframe**: Select your chart's timeframe (1M to 1D) to optimize parameters. - **Structure Timeframe**: Choose a timeframe for market structure analysis (leave blank for chart timeframe). - **Exit Strategy**: Enable Trailing Stop-Loss (`useTslExit`), RSI-MA Exit (`useRsiMaExit`), or both. Adjust `tslPoints` for TSL distance. - **Show Signals/Labels**: Toggle `showSignals` and `showExit` to display "BUY", "SELL", and "EXIT" labels. - **Dashboard**: Enable `showDashboard` to view trade statistics. Customize colors with `dashboardBgColor` and `dashboardTextColor`. 3. **Trading**: - Look for "BUY" or "SELL" labels to enter trades when BOS/MSS aligns with RSI-MA. - Exit trades at "EXIT" labels based on your chosen strategy. - Monitor the statistics dashboard to track performance (total trades, win/loss ratio, win percentage). 4. **Alerts**: Set up alerts for BOS, MSS, buy, sell, or exit signals using the provided alert conditions. **License** This script is licensed under the Mozilla Public License 2.0 (mozilla.org). The source code is available for review and modification under the terms of this license. **Compliance with TradingView House Rules** This publication adheres to TradingView's House Rules and Scripts Publication Rules. It provides a clear, self-contained description of the script's functionality, credits the original author (ICTProTools), and explains the rationale for combining indicators. The script contains no promotional content, offensive language, or proprietary restrictions beyond MPL 2.0. **Note** Trading involves risk, and past performance is not indicative of future results. Always backtest and validate the system on your preferred markets and timeframes before live trading. Enjoy trading with ICT SwiftEdge, and let data-driven insights guide your decisions!
Pine Script®指標
由SwiftEdge提供