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Machine Learning Adaptive SuperTrend [AlgoAlpha]📈🤖 Machine Learning Adaptive SuperTrend - Take Your Trading to the Next Level! 🚀✨ Introducing the Machine Learning Adaptive SuperTrend , an advanced trading indicator designed to adapt to market volatility dynamically using machine learning techniques. This indicator employs k-means clustering to categorize market volatility into high, medium, and low levels, enhancing the traditional SuperTrend strategy. Perfect for traders who want an edge in identifying trend shifts and market conditions. What is K-Means Clustering and How It Works K-means clustering is a machine learning algorithm that partitions data into distinct groups based on similarity. In this indicator, the algorithm analyzes ATR (Average True Range) values to classify volatility into three clusters: high, medium, and low. The algorithm iterates to optimize the centroids of these clusters, ensuring accurate volatility classification. Key Features 🎨 Customizable Appearance: Adjust colors for bullish and bearish trends. 🔧 Flexible Settings: Configure ATR length, SuperTrend factor, and initial volatility guesses. 📊 Volatility Classification: Uses k-means clustering to adapt to market conditions. 📈 Dynamic SuperTrend Calculation: Applies the classified volatility level to the SuperTrend calculation. 🔔 Alerts: Set alerts for trend shifts and volatility changes. 📋 Data Table Display: View cluster details and current volatility on the chart. Quick Guide to Using the Machine Learning Adaptive SuperTrend Indicator 🛠 Add the Indicator: Add the indicator to favorites by pressing the star icon. Customize settings like ATR length, SuperTrend factor, and volatility percentiles to fit your trading style. 📊 Market Analysis: Observe the color changes and SuperTrend line for trend reversals. Use the data table to monitor volatility clusters. 🔔 Alerts: Enable notifications for trend shifts and volatility changes to seize trading opportunities without constant chart monitoring. How It Works The indicator begins by calculating the ATR values over a specified training period to assess market volatility. Initial guesses for high, medium, and low volatility percentiles are inputted. The k-means clustering algorithm then iterates to classify the ATR values into three clusters. This classification helps in determining the appropriate volatility level to apply to the SuperTrend calculation. As the market evolves, the indicator dynamically adjusts, providing real-time trend and volatility insights. The indicator also incorporates a data table displaying cluster centroids, sizes, and the current volatility level, aiding traders in making informed decisions. Add the Machine Learning Adaptive SuperTrend to your TradingView charts today and experience a smarter way to trade! 🌟📊
Pine Script® göstergesi
AlgoAlpha tarafından
170
Flat Market Scanner [CHE]Flat Market Scanner Introduction Welcome to our presentation on the "Flat Market Scanner" for TradingView. This innovative indicator is designed to identify and highlight periods of sideways market movement, providing traders with crucial insights for making informed decisions. Sideways phases are characterized by alternating up and down movements within a narrow price range, lacking a clear directional trend. The Idea Behind the Flat Market Scanner The core concept of the Flat Market Scanner is to detect and visualize flat (sideways) market conditions. In such periods, the price of an asset does not exhibit significant upward or downward movements, remaining within a narrow range. These flat markets are often characterized by low volatility and can be challenging for trend-following traders. How It Works: 1. RSI Analysis: The indicator utilizes the Relative Strength Index (RSI) to measure the speed and change of price movements. 2. Cumulative Test Variable: It calculates the cumulative sum of positive and negative price changes to create a test variable. 3. Flat Period Detection: By examining the highest and lowest values of the test variable over a specified period (`flatPeriod`), the indicator determines if the market is flat. 4. Consecutive Flat Periods: It tracks consecutive periods where the market is flat to identify sustained sideways movement. 5. Visualization: When a flat market is detected, a colored box is drawn on the chart to highlight the flat period. The color of the box indicates the current RSI trend. Why Flat Markets Pose Risks Flat markets can present several risks and challenges for traders: 1. Reduced Profit Opportunities: In a flat market, price movements are minimal, leading to limited profit opportunities for traders who rely on significant price swings. 2. False Signals: Sideways markets often generate false signals for technical indicators, leading to potential losses if traders misinterpret these signals as trends. 3. Increased Costs: Frequent trading in a flat market can result in higher transaction costs, eating into potential profits. 4. Psychological Stress: The lack of clear direction can cause frustration and stress, leading traders to make impulsive decisions that deviate from their trading strategy. Benefits of the Flat Market Scanner - Clarity: The Flat Market Scanner provides visual clarity on when the market is flat, helping traders avoid entering positions during low-volatility periods. - Risk Management: By identifying flat periods, traders can better manage their risk and allocate their capital to more promising market conditions. - Strategic Planning: Understanding when the market is flat allows traders to adjust their strategies, such as focusing on range-bound trading techniques or waiting for breakout opportunities. Conclusion The Flat Market Scanner is an essential tool for traders seeking to navigate the complexities of market conditions. By effectively identifying and visualizing flat markets, this indicator empowers traders to make smarter decisions, manage risks, and optimize their trading strategies. Embrace the power of the Flat Market Scanner and enhance your trading experience on TradingView. Thank you for your attention. Happy trading! Best regards Chervolino
Pine Script® göstergesi
chervolino tarafından
RH_Previous Session CloseRaghee Horner Previous Session Close (PSC) The RH_PSC is an automated Previous Session Close (PSC) indicator to show, at a glance, general market sentiment -- whether the market is generally bullish, bearish or neutral --for the current trading session. The PSC plots the previous session close from the Daily candle, with a customizable table of data to show the previous price, whether or not the current price is above or below that previous close and the percentage move above or below. It includes the ability to enable only the last session or to plot for all previous sessions continuously. The data table is configurable for bearish, bullish or sideways coloring and can be moved to different locations to suite users preferences and charts. It can also be fully disabled. Defaults are to show all previous sessions in a continuous plot and the data table is disabled. What is “sentiment”? Market sentiment reflects investors’ overall attitude toward a symbol, influenced by news, economic reports, and perceptions. It can be bullish, bearish, or neutral and significantly affects trading behavior and price movements. Bullish sentiment typically drives prices up, while bearish sentiment can cause them to fall. Understanding market sentiment is key for trend follow-through. Why does it matter? Effectively using sentiment allows for quicker, smarter trading decisions. As an active trader, understanding market sentiment is vital for follow-through. It shows real-time investor feelings, affecting price movements. Gauging sentiment helps you: Anticipate Breakouts. Time Entries and Exits. Increase Probability of Continuation.
Pine Script® göstergesi
SimplerTrading tarafından
1
Danger Signals from The Trading MindwheelThe " Danger Signals " indicator, a collaborative creation from the minds at Amphibian Trading and MARA Wealth, serves as your vigilant lookout in the volatile world of stock trading. Drawing from the wisdom encapsulated in "The Trading Mindwheel" and the successful methodologies of legends like William O'Neil and Mark Minervini, this tool is engineered to safeguard your trading journey. Core Features: Real-Time Alerts: Identify critical danger signals as they emerge in the market. Whether it's a single day of heightened risk or a pattern forming, stay informed with specific danger signals and a tally of signals for comprehensive decision-making support. The indicator looks for over 30 different signals ranging from simple closing ranges to more complex signals like blow off action. Tailored Insights with Portfolio Heat Integration: Pair with the "Portfolio Heat" indicator to customize danger signals based on your current positions, entry points, and stops. This personalized approach ensures that the insights are directly relevant to your trading strategy. Certain signals can have different meanings based on where your trade is at in its lifecycle. Blow off action at the beginning of a trend can be viewed as strength, while after an extended run could signal an opportunity to lock in profits. Forward-Looking Analysis: Leverage the 'Potential Danger Signals' feature to assess future risks. Enter hypothetical price levels to understand potential market reactions before they unfold, enabling proactive trade management. The indicator offers two different modes of 'Potential Danger Signals', Worst Case or Immediate. Worst Case allows the user to input any price and see what signals would fire based on price reaching that level, while the Immediate mode looks for potential Danger Signals that could happen on the next bar. This is achieved by adding and subtracting the average daily range to the current bars close while also forecasting the next values of moving averages, vwaps, risk multiples and the relative strength line to see if a Danger Signal would trigger. User Customization: Flexibility is at your fingertips with toggle options for each danger signal. Tailor the indicator to match your unique trading style and risk tolerance. No two traders are the same, that is why each signal is able to be turned on or off to match your trading personality. Versatile Application: Ideal for growth stock traders, momentum swing traders, and adherents of the CANSLIM methodology. Whether you're a novice or a seasoned investor, this tool aligns with strategies influenced by trading giants. Validation and Utility: Inspired by the trade management principles of Michael Lamothe, the " Danger Signals " indicator is more than just a tool; it's a reflection of tested strategies that highlight the importance of risk management. Through rigorous validation, including the insights from "The Trading Mindwheel," this indicator helps traders navigate the complexities of the market with an informed, strategic approach. Whether you're contemplating a new position or evaluating an existing one, the " Danger Signals " indicator is designed to provide the clarity needed to avoid potential pitfalls and capitalize on opportunities with confidence. Embrace a smarter way to trade, where awareness and preparation open the door to success. Let's dive into each of the components of this indicator. Volume: Volume refers to the number of shares or contracts traded in a security or an entire market during a given period. It is a measure of the total trading activity and liquidity, indicating the overall interest in a stock or market. Price Action: the analysis of historical prices to inform trading decisions, without the use of technical indicators. It focuses on the movement of prices to identify patterns, trends, and potential reversal points in the market. Relative Strength Line: The RS line is a popular tool used to compare the performance of a stock, typically calculated as the ratio of the stock's price to a benchmark index's price. It helps identify outperformers and underperformers relative to the market or a specific sector. The RS value is calculated by dividing the close price of the chosen stock by the close price of the comparative symbol (SPX by default). Average True Range (ATR): ATR is a market volatility indicator used to show the average range prices swing over a specified period. It is calculated by taking the moving average of the true ranges of a stock for a specific period. The true range for a period is the greatest of the following three values: The difference between the current high and the current low. The absolute value of the current high minus the previous close. The absolute value of the current low minus the previous close. Average Daily Range (ADR): ADR is a measure used in trading to capture the average range between the high and low prices of an asset over a specified number of past trading days. Unlike the Average True Range (ATR), which accounts for gaps in the price from one day to the next, the Average Daily Range focuses solely on the trading range within each day and averages it out. Anchored VWAP: AVWAP gives the average price of an asset, weighted by volume, starting from a specific anchor point. This provides traders with a dynamic average price considering both price and volume from a specific start point, offering insights into the market's direction and potential support or resistance levels. Moving Averages: Moving Averages smooth out price data by creating a constantly updated average price over a specific period of time. It helps traders identify trends by flattening out the fluctuations in price data. Stochastic: A stochastic oscillator is a momentum indicator used in technical analysis that compares a particular closing price of an asset to a range of its prices over a certain period of time. The theory behind the stochastic oscillator is that in a market trending upwards, prices will tend to close near their high, and in a market trending downwards, prices close near their low. While each of these components offer unique insights into market behavior, providing sell signals under specific conditions, the power of combining these different signals lies in their ability to confirm each other's signals. This in turn reduces false positives and provides a more reliable basis for trading decisions These signals can be recognized at any time, however the indicators power is in it's ability to take into account where a trade is in terms of your entry price and stop. If a trade just started, it hasn’t earned much leeway. Kind of like a new employee that shows up late on the first day of work. It’s less forgivable than say the person who has been there for a while, has done well, is on time, and then one day comes in late. Contextual Sensitivity: For instance, a high volume sell-off coupled with a bearish price action pattern significantly strengthens the sell signal. When the price closes below an Anchored VWAP or a critical moving average in this context, it reaffirms the bearish sentiment, suggesting that the momentum is likely to continue downwards. By considering the relative strength line (RS) alongside volume and price action, the indicator can differentiate between a normal retracement in a strong uptrend and a when a stock starts to become a laggard. The integration of ATR and ADR provides a dynamic framework that adjusts to the market's volatility. A sudden increase in ATR or a character change detected through comparing short-term and long-term ADR can alert traders to emerging trends or reversals. The "Danger Signals" indicator exemplifies the power of integrating diverse technical indicators to create a more sophisticated, responsive, and adaptable trading tool. This approach not only amplifies the individual strengths of each indicator but also mitigates their weaknesses. Portfolio Heat Indicator can be found by clicking on the image below Danger Signals Included Price Closes Near Low - Daily Closing Range of 30% or Less Price Closes Near Weekly Low - Weekly Closing Range of 30% or Less Price Closes Near Daily Low on Heavy Volume - Daily Closing Range of 30% or Less on Heaviest Volume of the Last 5 Days Price Closes Near Weekly Low on Heavy Volume - Weekly Closing Range of 30% or Less on Heaviest Volume of the Last 5 Weeks Price Closes Below Moving Average - Price Closes Below One of 5 Selected Moving Averages Price Closes Below Swing Low - Price Closes Below Most Recent Swing Low Price Closes Below 1.5 ATR - Price Closes Below Trailing ATR Stop Based on Highest High of Last 10 Days Price Closes Below AVWAP - Price Closes Below Selected Anchored VWAP (Anchors include: High of base, Low of base, Highest volume of base, Custom date) Price Shows Aggressive Selling - Current Bars High is Greater Than Previous Day's High and Closes Near the Lows on Heaviest Volume of the Last 5 Days Outside Reversal Bar - Price Makes a New High and Closes Near the Lows, Lower Than the Previous Bar's Low Price Shows Signs of Stalling - Heavy Volume with a Close of Less than 1% 3 Consecutive Days of Lower Lows - 3 Days of Lower Lows Close Lower than 3 Previous Lows - Close is Less than 3 Previous Lows Character Change - ADR of Last Shorter Length is Larger than ADR of Longer Length Fast Stochastic Crosses Below Slow Stochastic - Fast Stochastic Crosses Below Slow Stochastic Fast & Slow Stochastic Curved Down - Both Stochastic Lines Close Lower than Previous Day for 2 Consecutive Days Lower Lows & Lower Highs Intraday - Lower High and Lower Low on 30 Minute Timeframe Moving Average Crossunder - Selected MA Crosses Below Other Selected MA RS Starts Curving Down - Relative Strength Line Closes Lower than Previous Day for 2 Consecutive Days RS Turns Negative Short Term - RS Closes Below RS of 7 Days Ago RS Underperforms Price - Relative Strength Line Not at Highs, While Price Is Moving Average Begins to Flatten Out - First Day MA Doesn't Close Higher Price Moves Higher on Lighter Volume - Price Makes a New High on Light Volume and 15 Day Average Volume is Less than 50 Day Average Price Hits % Target - Price Moves Set % Higher from Entry Price Price Hits R Multiple - Price hits (Entry - Stop Multiplied by Setting) and Added to Entry Price Hits Overhead Resistance - Price Crosses a Swing High from a Monthly Timeframe Chart from at Least 1 Year Ago Price Hits Fib Level - Price Crosses a Fib Extension Drawn From Base High to Low Price Hits a Psychological Level - Price Crosses a Multiple of 0 or 5 Heavy Volume After Significant Move - Above Average and Heaviest Volume of the Last 5 Days 35 Bars or More from Breakout Moving Averages Begin to Slope Downward - Moving Averages Fall for 2 Consecutive Days Blow Off Action - Highest Volume, Largest Spread, Multiple Gaps in a Row 35 Bars or More Post Breakout Late Buying Frenzy - ANTS 35 Bars or More Post Breakout Exhaustion Gap - Gap Up 5% or Higher with Price 125% or More Above 200sma
Pine Script® göstergesi
Amphibiantrading tarafından
22
It's All MidsIt's All Mids extends mid-lines of a candle forward until the price revisits (covers) the midpoint. A higher timeframe can be used for the mid candles than the chart (but not the reverse). There is no data to support this is a meaningful concept. While this script is intended to be functional, correct and useful it is important that you understand that not only is this the first script I've written but also that "I am an idiot."(tm) Using a stranger's indicator is questionable, but using a self-proclaimed idiot's indicator to trade real money is unquestionably stupid. Don't be like me. Be smart. You are responsible for what you do with this script. The source is unlocked, so feel free to copy and modify it. Terms: - A "mid" is the (high+low)/2 price of a previous candle that has not been auctioned since the candle close. All candles will initially have a mid unless they close on exactly their midpoint. - A "covered" mid is a mid for which the midpoint has been auctioned since the candle closed. There is an option to display a number of these so that when a mid is hit the line doesn't just disappear from the chart and you forget what you were doing. - A "low priority" mid is the mid of a candle which was auctioned in the previous candle(s) (chart's timeframe, not the mid's timeframe)-- chopchopchop. I have no data to show that this matters, or really, that anything matters at all. My use: I chart a 60m mid on ES on a 5 or 15 minute chart. I am lying. I use it for something else but if I tell you that then I give away my incredible alpha that has made me so rich I can spend my time crying in corner about all the money I've lost.
Pine Script® göstergesi
j_npc tarafından
5
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!
Pine Script® göstergesi
IkkeOmar tarafından
Volume Spread Analysis [Ahmed]Greetings everyone, I'm thrilled to present a Pine Script I've crafted for Volume Spread Analysis (VSA) Indicator. This tool is aimed at empowering you to make smarter trading choices by scrutinizing the volume spread across a specified interval. The script delivers a comparative volume analysis, permitting you to fix the type and length of the moving average. It subsequently delineates the moving average (MA), MA augmented by 1 standard deviation (SD), and MA increased by 2 SD. You can fully personalize the color coding for these echelons. Volume Spread Analysis is an analytical technique that scrutinizes candles and the volume per candle to predict price direction. It considers the volume per candle, the spread range, and the closing price. To effectively leverage VSA, you need to adhere to a few steps: 1. Ensure you use candlesticks for trading. Other chart types like line, bar, and renko charts may not yield optimal results. 2. Confirm that your broker provides reliable volume data. 3. Be mindful of the chart's timeframe. Volume analysis may not be effective on very short timeframes such as a minute chart. I recommend using daily, weekly, or monthly charts. Another tip is to examine the spread between the price bars and the volume bars to discern the trend. The script not only makes it easier to integrate these principles into your trading but also brings precision and convenience to your analysis. Please remember to adhere to Tradinview terms of service when using the script. Happy trading!
Pine Script® göstergesi
aothmaan tarafından
HTF Candle Insights (Expo)█ Overview The HTF Candle Insights indicator helps traders see what's happening in larger time frames (HTF) while they're looking at smaller ones. This tool lets traders get a complete picture of market trends and price movements, helping them make smarter trading choices. It's really useful for traders who want to understand the main market trends without constantly switching between different chart timeframes. In simpler terms , this indicator brings the big picture into the smaller frame, so traders don't miss out on what's important while focusing on the details. █ How It Works The indicator plots HTF candles on the existing chart, allowing users to view them concurrently with the candles of the current timeframe. This dual visual representation helps in discerning the prevalent market trends and significant price levels from both the current and higher timeframes. █ How to Use Trend Analysis Traders can leverage this indicator to analyze overall market trends by observing HTF candles alongside the current timeframe candles. Recognizing HTF trends aids in aligning trades with the dominant market movement, potentially increasing the probability of successful trades. Support and Resistance Identification By viewing the high, low, and mid-levels of HTF candles, traders can identify potential support and resistance zones, enabling them to establish strategic entry and exit points, place stop-losses effectively, and manage risk proficiently. █ Settings Timeframe and Candle Amount: Users can specify the higher timeframe and the number of HTF candles they wish to visualize on their current chart. Visual Adjustments: Traders can customize the color schemes for upward and downward candles and their wicks, and adjust the visibility and colors of the range lines, allowing for a tailored visual experience. Range Lines: Users have the option to display the high/low range of the displayed candles, and, if preferred, the mid-range line, enabling them to gain insights into significant price levels and ranges. Table Display: The indicator offers the ability to display a table, which provides an overview of the current chart's timeframe and the specified HTF. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Pine Script® göstergesi
Zeiierman tarafından
25
Incomplete Session Candle - Incomplete Timeframe Candle Marker The "Incomplete Session Candle - Incomplete Timeframe Candle Marker" is an advanced tool tailored for technical analysts who understand the importance of accurate timeframes in their charting. While the indicator is not limited to the Indian market, its genesis is rooted in the nuances of trading sessions like those in India, which span 375 minutes from 9:15 AM to 3:30 PM. Key Features: Detects if the current timeframe is intraday (minutes or hours). Calculates the expected duration of the candle for the chosen timeframe. Highlights candles that don't achieve their expected session duration by placing a cross shape above the bar. Compatible across various intraday timeframes, aiding traders in spotting discrepancies promptly. Why We Made This: Not Just for India: While we looked at the Indian market, this indicator works everywhere. Regular timeframes like 30 minutes, 1 hour, and 2 hours often end with incomplete candles, especially at the end of the trading day. For example: A 30-minute timeframe makes 13 candles, but the last one is only 15 minutes long. A 1-hour timeframe shows 7 candles, but the last one is just the last 15 minutes. By switching to different timeframes like 25 minutes, 75 minutes, and 125 minutes, you get more complete information for better trading decisions. Learn more about this in our article: "Power of 25, 75, and 125-Minute Timeframes in the Indian Market", recognized by Trading View's Editors' Pick. Benefits: The indicator extends its benefits even to users without access to certain timeframes. It accommodates traders using a 1-hour timeframe (pertaining to Indian traders). By employing this indicator, traders consistently remain mindful of incomplete candles within their chosen timeframe For those who utilize concepts like RBR, RBD, DBR, and DBD, this indicator is paramount. An incomplete candle can skew analysis, leading to potential misinterpretations of base or leg candles. Final thoughts: In markets like the Indian stock market, adopting such a tool is not just beneficial, but necessary. Whether you have access to unconventional timeframes or are using traditional ones, recognizing and accounting for the limitations of incomplete candles is critical & it's important to know if your candles fit the timeframe properly. This indicator gives you a better view of the market, which helps you make smarter trades. Lastly, Thank you for your support! Your likes & comments. If you want to give any feedback then you can give in comment section. Let's conquer the markets together!
Pine Script® göstergesi
AfnanTAjuddin tarafından
2
HTF Oscillators RSI/ROC/MFI/CCI/AO - Dynamic SmoothingThe Interplay of Time Frames: A Balanced View Navigating the markets often involves interpreting trends from multiple angles. The HTF Oscillators with Dynamic Smoothing indicator enables you to do just that. This tool provides the option to integrate smoothed oscillator readings from Higher Time Frames (HTF) into lower time frame charts, such as a 1-minute chart. By doing so, the indicator offers a balanced viewpoint that bridges the gap between micro and macro perspectives, helping you make informed decisions without losing sight of the broader market context. Features Multi-Oscillator Support Choose from a range of popular oscillators like the Relative Strength Index (RSI), Rate of Change (ROC), Money Flow Index (MFI), Commodity Channel Index (CCI), and Awesome Oscillator (AO). These oscillators are commonly used as foundational building blocks in trading strategy scripts by traders worldwide. Switch effortlessly between them, depending on your trading strategy and requirements. To maintain consistency and a familiar user experience, our script adopts the same visual aesthetics that you'll find in Pine Script indicators on TradingView: a sleek purple line for the oscillator and a transparent band filling. These visual elements are not only pleasing to the eye but also widely appreciated by the trading community. Dynamic Smoothing The unique dynamic smoothing feature calculates a smoothing factor based on the ratio of minutes between the Higher Time Frame (HTF) and your current time frame. This provides a sleek and responsive oscillator line that still holds the weight of the longer trend. One of the significant advantages of this feature is user experience; when you change your time frame, the HTF-values in your settings will remain consistent. This ensures that you can easily switch between different time frames without losing the insights provided by your selected HTF. Visual Aids Visual cues are an essential part of any trading strategy. The indicator not only plots signals to mark overbought and oversold conditions based on the dynamically smoothed oscillator but also provides you with the flexibility to customize your visual experience. You have the option to toggle on/off the display of these signals depending on your specific needs. Additionally, bands can be displayed at overbought and oversold levels, along with a reference middle line. If you switch between different oscillators (available in the parameter settings), remember to manually adjust the bands in the input settings to ensure signals matches with the type of oscillator to your liking. User-Friendly Settings We've grouped related settings together, making it easier for you to find what you're looking for. Adjust the oscillator type, length of bars, smoothing settings, and more with just a few clicks. Information Table A standout feature of this indicator is the real-time information table, which displays the values of all selected oscillators based on your specified Higher Time Frame (HTF) settings. This can be particularly useful for traders who depend on multiple indicators for their decision-making process. The data presented in the table is synchronized with the HTF options you've configured in the input settings, allowing for a more efficient and quick scan of values from higher time frames. Educational Corner: The Power of the Information Table and Customization The table incorporated into this indicator isn't just eye-candy; it's a practical tool designed to elevate your trading strategy. It dynamically displays real-time values of various oscillators for the HTF you've chosen. This is an exemplary use of TradingView's scripting capabilities to blend multiple indicators into a single visual panel, streamlining your analysis and decision-making process. But here's the best part: You're not limited to what we've created. With some basic understanding of TradingView's scripting language, Pine Script, you can easily adapt this table to include different indicators that suit your unique trading style. The logic in the script is modular and can serve as a foundation for your own customized trading dashboard. So, go ahead, get creative and explore new combinations of indicators that will help you excel in your trading endeavors! You no longer have to toggle between different charts or indicators to get the information you need; it's all there in one neatly organized table. We encourage you to tap into this feature and make it your own, empowering your trading like never before. By doing so, you not only gain a more comprehensive toolset, but you also engage more deeply with your trading strategy, understanding its nuances and, ultimately, making more informed decisions. Conclusion The HTF Oscillators with Dynamic Smoothing is a versatile and powerful tool that brings together the best of both worlds: the perspective of higher time frames and the granularity of shorter ones. Its feature-rich setting options and real-time information table make it a potential useful addition to your trading toolkit. Remember, while this indicator offers a comprehensive and smarter way to look at the markets, it is not a foolproof method for predicting market movements. Always use it in conjunction with other analysis methods and risk management strategies.
Pine Script® göstergesi
Harrocop tarafından
2
Daylight Saving Time [Open Source]Are you tired of manually tracking daylight saving time transitions on your trading charts? Say goodbye to confusion and hello to a smarter approach with our innovative indicator. Designed to streamline your trading experience, this indicator automatically detects and highlights the exact moments when daylight saving time shifts occur, ensuring you stay on top of time changes without the hassle. Key Features: Customizable Display: Choose between two distinct display modes - "Flag" or "Emoticons" - to suit your visual preference and enhance your chart's clarity. Global Compatibility: Tailor the indicator to your region by selecting your country for daylight saving time calculations. Choose from popular options like the European Union (EU) or the United States and Canada (US_CA). Seamless Transitions: No more guessing when daylight saving time starts or ends. Our indicator will automatically mark the transition points, helping you to avoid costly trading mistakes due to incorrect time calculations. Background Coloring: Elevate your chart's visibility by optionally coloring the background during the transition periods. With a simple toggle, you can make sure you never miss an important shift. Experience a new level of trading precision and accuracy with the "Daylight Saving Time Indicator". Take control of your trading strategy by focusing on the market instead of time changes. Try it now and witness the difference it makes in your trading routine! About Daylight Saving Time: Daylight Saving Time (DST) is a practice observed by many countries to make better use of daylight during the longer days of summer. The EU and California (US_CA) have specific rules for DST transitions: EU DST Rules: DST begins on the last Sunday of March. DST ends on the last Sunday of October. US_CA DST Rules: DST begins on the second Sunday of March. DST ends on the first Sunday of November. About the code The code is briefly commented. Please feel free to use or further customize it ... And, of course, I would be happy to be named and/or linked. If you're satisfied, maybe buy me a coffee ;-) I'm curious to see how this indicator will develop with more ideas - Please keep me updated by commenting below or by sending me a message.
Pine Script® göstergesi
consilus tarafından
1
TASC 2023.05 Cong Adaptive Moving Average█ OVERVIEW TASC's May 2023 edition of Traders' Tips features an article titled "An Adaptive Moving Average For Swing Trading" by Scott Cong. The article presents a new adaptive moving average (​AMA) that adjusts its parameters automatically based on market volatility. The ​AMA tracks price closely during trending movements and remains flat during congestion areas. █ CONCEPTS Conventional moving averages (MAs) use a fixed lookback period, which may lead to limited performance in constantly changing market conditions. Perry ​Kaufman's adaptive moving average , first described in his 1995 book Smarter Trading, is a great example of how an ​AMA can self-adjust to adapt to changing environments. Scott Cong draws inspiration from ​Kaufman's approach and proposes a new way to calculate the ​AMA smoothing factor. █ CALCULATIONS Following Perry Kaufman's approach, Scott Cong's ​AMA is calculated progressively as: AMA = α * Close + (1 − α) * AMA(1), where: Close = Close of the current bar AMA(1) = ​AMA value of the previous bar α = Smoothing factor between 0 and 1, defined by the lookback period The smoothing factor determines the performance of ​AMA. In Cong's approach, it is calculated as: α = Result / Effort, where: Result = Highest price of the n period − Lowest price of the n period Effort = Sum(​TR, n ), where ​TR stands for Wilder’s true range values of individual bars of the n period n = Lookback period As the price range is always no greater than the total journey, α is ensured to be between 0 and 1.
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PineCodersTASC tarafından
5
Liquidity Candles with Prev Day High/Low and Midnight OpenAlright, let's talk about how to use this fancy indicator. But first, let me warn you, using indicators is like driving a car, you can't just press the gas pedal and hope for the best. You need to know what you're doing, or else you'll crash and burn faster than a soufflé in a microwave. Now, let's get started. The first thing you need to do is understand what this indicator is telling you. Think of it like a signalman at a train station. He's waving flags and giving hand signals to tell you whether it's safe to proceed or if you need to stop and wait. This indicator works the same way. It's going to give you signals based on price movements, telling you whether it's safe to buy or sell. But don't get too excited, my friend. You still need to use your brain and make smart decisions. Don't just blindly follow the signals, or else you'll end up like a sheep being led to the slaughter. Now, let's talk about some of ICT's smart money trading concepts. First up, we have "liquidity grabs". This is when the big boys in the market create false breakouts to shake out the weak hands. They're like school bullies stealing lunch money from the little kids. But you can avoid being a victim by watching for signs of a liquidity grab, and using your brain to decide whether it's a real breakout or just a trap. Next up, we have "stop runs". This is when the big players purposely trigger stop-loss orders to get a better entry or exit. It's like a game of chicken, but with your money on the line. To avoid being run over, keep an eye on your stop-loss orders, and don't be too predictable in your trading. Finally, we have "market structure". This is like the blueprint of the market, showing you where the support and resistance levels are. It's like a treasure map to finding the best trades. But don't forget that market structure can change over time, so keep updating your map and stay ahead of the game. So there you have it, my friend. A quick tutorial on using this indicator, with a side of ICT's smart money trading concepts. But remember, indicators are just tools, and you're the one driving the car. Use your brain, stay alert, and don't be a sheep. Happy trading! Divergent Trades LLC: Disclaimer: The information provided by the Divergent Trades LLC indicator is for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy, sell, or trade any financial instrument. Divergent Trades LLC is not responsible for any losses incurred as a result of using this indicator. Trading in the financial markets carries a high level of risk and may not be suitable for all investors. Before making any investment decisions, please consult with a financial advisor and do your own due diligence. Past performance is not indicative of future results. By using the Divergent Trades LLC indicator, you acknowledge that you have read and understand this disclaimer and agree to its terms and conditions.
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DivergentTrades tarafından
3
Paradigm Trades_VPA Swing IndicatorThe indicator is designed to identify specific patterns in price and volume movements that can signal potential trading opportunities. It does this by calculating several conditions based on the current bar's price and volume movements. The code defines five conditions: Narrow Spread Up Bar, Wide Spread Down Bar, No Demand Bar, No Selling Bar, and Churning. These conditions are then plotted on the chart using specific shapes and colors. The code also includes alert conditions for each of the signals, which can be used to generate alerts for traders when a particular pattern is identified. The VPA Swing Indicator can be used as part of a swing trading strategy to identify potential buy or sell signals. For example, a Narrow Spread Up Bar may indicate bullish momentum, while a Wide Spread Down Bar may indicate bearish momentum. Traders can use these signals to make informed trading decisions and manage their risk accordingly. Legend: Spread Up Bar: This is a bullish bar with a small spread, indicating a lack of selling pressure and strong buying activity. Wide Spread Down Bar: This is a bearish bar with a large spread, indicating strong selling pressure and weak buying activity. No Demand Bar: This is a bearish bar with a small spread and low volume, indicating a lack of buying interest and the smart money selling off their positions. No Selling Bar: This is a bullish bar with a small spread and low volume, indicating a lack of selling interest and the smart money buying up positions. Churning: This is a sideways market with narrow spread bars and low volume, indicating the smart money is distributing shares to the retail traders.
Pine Script® göstergesi
PierrePressure tarafından
Simple Dominance Momentum IndicatorThe Simple Dominance Momentum Indicator is a powerful tool for tracking market trends in the world of cryptocurrency. By analyzing the relationship between dominance and market movement, this indicator helps traders identify when money is flowing into or out of the market. Using the pane structure on TradingView, the Dominance Momentum Indicator makes it easy to visualize and track data from CryptoCap charts. Whether you're a seasoned investor or starting out, this indicator can help you make more informed trading decisions. All this indicator does is create the pane with a line chart using the Dominance charts to allow you to see the data with one button instead of doing it all manually. However with the addition to allow it to toggle between crypto and stables, so if you are using a /BTC pair, you don't have to add a new pane on, it automatically converts. If you are looking at USDT pairs for example, it will highlight that one for you. While it can work under any conditions, the Dominance Momentum Indicator is particularly effective on higher timeframes, providing valuable insight into the overall plot of the market trend. With a 55EMA and a faster-moving average of 21EMA, this indicator is designed to help you stay ahead of the curve and make smarter trading decisions. Remember the golden rule for stablecoin dominance. Down = good, and up = bad; however, you can just invert the indicator, so it flows with the market. When it comes to the dominance of individual cryptocurrencies, for example, DOT.D, you might find that it going up = increasing dominance is STRENGTH. If the dominance of that is increasing it means it's growing. Creator Credit: Jamie Goodland
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CryptoMobster tarafından
12
Cong Adaptive Moving AverageDr. Scott Cong's new adaptation of an adaptive moving average (AMA), featured in TASC March 2023. It adjusts its parameters automatically according to the volatility of market, tracking price closely in trending movement, staying flat in congestion areas. Perry Kaufman’s adaptive moving average, first described in his 1995 book Smarter Trading, is a great example of how an AMA can self-adjust to adapt to changing environments. This indicator presents a new scheme for an adaptive moving average that is responsive, smooth, and robust.
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Forex_Station_Centaur tarafından
1
Intrabar Efficiency Ratio█   OVERVIEW This indicator displays a directional variant of Perry​ Kaufman's​ Efficiency​ Ratio​, designed to gauge the "efficiency" of intrabar price movement by comparing the sum of movements of the lower timeframe bars composing a chart bar with the respective bar's movement on an average basis. █   CONCEPTS Efficiency Ratio (ER) Efficiency Ratio ​ was first introduced by Perry Kaufman in his 1995 book, titled "Smarter Trading". It is the ratio of absolute price change to the sum of absolute changes on each bar over a period. This tells us how strong the period's trend is relative to the underlying noise. Simply put, it's a measure of price movement efficiency. This ratio is the modulator utilized in Kaufman's​ Adaptive​ Moving​ Average​ (KAMA​), which is essentially an Exponential​ Moving​ Average​ (EMA​) that adapts its responsiveness to movement efficiency. ER's output is bounded between 0 and 1. A value of 0 indicates that the starting price equals the ending price for the period, which suggests that price movement was maximally inefficient. A value of 1 indicates that price had travelled no more than the distance between the starting price and the ending price for the period, which suggests that price movement was maximally efficient. A value between 0 and 1 indicates that price had travelled a distance greater than the distance between the starting price and the ending price for the period. In other words, some degree of noise was present which resulted in reduced efficiency over the period. As an example, let's say that the price of an asset had moved from $15 to $14 by the end of a period, but the sum of absolute changes for each bar of data was $4. ER would be calculated like so: ER = abs(14 - 15)/4 = 0.25 This suggests that the trend was only 25% efficient over the period, as the total distanced travelled by price was four times what was required to achieve the change over the period. Intrabars Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 intrabars at the ​LTF of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar. Lower timeframes (LTFs) A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script determines which ​LTF to use by examining the chart's timeframe. The ​LTF determines how many intrabars are examined for each chart bar; the lower the timeframe, the more intrabars are analyzed, but fewer chart bars can display indicator information because there is a limit to the total number of intrabars that can be analyzed. Intrabar precision The precision of calculations increases with the number of intrabars analyzed for each chart bar. As there is a 100K limit to the number of intrabars that can be analyzed by a script, a trade-off occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible. Intrabar Efficiency Ratio (IER) Intrabar Efficiency Ratio applies the concept of ER on an intrabar level. Rather than comparing the overall change to the sum of bar changes for the current chart's timeframe over a period, IER compares single bar changes for the current chart's timeframe to the sum of absolute intrabar changes, then applies smoothing to the result. This gives an indication of how efficient changes are on the current chart's timeframe for each bar of data relative to LTF​ bar changes on an average basis. Unlike the standard ER calculation, we've opted to preserve directional information by not taking the absolute value of overall change, thus allowing it to be utilized as a momentum oscillator. However, by taking the absolute value of this oscillator, it could potentially serve as a replacement for ER in the design of adaptive moving averages. Since this indicator preserves directional information, IER can be regarded as similar to the Chande​ Momentum​ Oscillator​ (CMO​) , which was presented in 1994 by Tushar​ Chande​ in "The New Technical Trader". Both CMO​ and ER​ essentially measure the same relationship between trend and noise. CMO simply differs in scale, and considers the direction of overall changes. █   FEATURES Display Three different display types are included within the script:  • Line : Displays the middle length MA of the IER as a line .   Color for this display can be customized via the "Line" portion of the "Visuals" section in the script settings.  • Candles : Displays the non-smooth IER and two moving averages of different lengths as candles .   The `open` and `close` of the candle are the longest and shortest length MAs of the IER respectively.   The `high` and `low` of the candle are the max and min of the IER, longest length MA of the IER, and shortest length MA of the IER respectively.   Colors for this display can be customized via the "Candles" portion of the "Visuals" section in the script settings.  • Circles : Displays three MAs of the IER as circles .   The color of each plot depends on the percent rank of the respective MA over the previous 100 bars.   Different colors are triggered when ranks are below 10%, between 10% and 50%, between 50% and 90%, and above 90%.   Colors for this display can be customized via the "Circles" portion of the "Visuals" section in the script settings. With either display type, an optional information box can be displayed. This box shows the LTF​ that the script is using, the average number of lower timeframe bars per chart bar, and the number of chart bars that contain LTF​ data. Specifying intrabar precision Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed. The first five options allow users to specify the approximate amount of chart bars to be covered:  • Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.   This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.  • Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped ​LTF in relation to the current chart's timeframe.  • Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min ​LTF.  • Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min ​LTF. The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows: Chart Timeframe Lower Timeframe Less Precise More Precise < 1hr 1min 1min < 1D 15min 1min < 1W ​2hr​ 30min > 1W 1D 60min The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF​ which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF​, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible. Specifying MA type Seven MA types are included in the script for different averaging effects:  • Simple  • Exponential  • Wilder (RMA)  • Weighted  • Volume-Weighted  • Arnaud Legoux with `offset` and `sigma` set to 0.85 and 6 respectively.  • Hull Weighting This script includes the option to weight IER values based on the percent rank of absolute price changes on the current chart's timeframe over a specified period, which can be enabled by checking the "Weigh using relative close changes" option in the script settings. This places reduced emphasis on IER values from smaller changes, which may help to reduce noise in the output. █   FOR Pine Script™ CODERS  • This script imports the recently published lower_ltf library for calculating intrabar statistics and the optimal lower timeframe in relation to the current chart's timeframe.  • This script uses the recently released request.security_lower_tf() Pine Script™ function discussed in this blog post .   It works differently from the usual request.security() in that it can only be used on LTFs, and it returns an array containing one value per intrabar.   This makes it much easier for programmers to access intrabar information.  • This script implements a new recommended best practice for tables which works faster and reduces memory consumption.   Using this new method, tables are declared only once with var , as usual. Then, on the first bar only, we use table.cell() to populate the table.   Finally, table.set_*() functions are used to update attributes of table cells on the last bar of the dataset.   This greatly reduces the resources required to render tables. Look first. Then leap.
Pine Script® göstergesi
TradingView tarafından
9
STD-Filtered, Adaptive Exponential Hull Moving Average [Loxx]STD-Filtered, Adaptive Exponential Hull Moving Average is a Kaufman Efficiency Ratio Adaptive Hull Moving Average that uses EMA instead of WMA for its computation. I've also added standard deviation stepping to further smooth the signal. Using EMA instead of WMA turns the Hull into what's called the AEHMA. You can read more about the EHMA here: eceweb1.rutgers.edu What is the traditional Hull Moving Average? The Hull Moving Average (HMA) attempts to minimize the lag of a traditional moving average while retaining the smoothness of the moving average line. Developed by Alan Hull in 2005, this indicator makes use of weighted moving averages to prioritize more recent values and greatly reduce lag. The resulting average is more responsive and well-suited for identifying entry points. What is Kaufman's Efficiency Ratio? The Efficiency Ratio (ER) was first presented by Perry Kaufman in his 1995 book ‘Smarter Trading‘. It is calculated by dividing the price change over a period by the absolute sum of the price movements that occurred to achieve that change. The resulting ratio ranges between 0 and 1 with higher values representing a more efficient or trending market. The value of the ER ranges between 0 and 1. It has the value of 1 when prices move in the same direction for the full time over which the indicator is calculated, e.g. n bars period. It has a value of 0 when prices are unchanged over the n periods. When prices move in wide swings within the interval, the sum of the denominator becomes very large compared to the numerator and ER approaches zero. Some uses for ER: A qualifier for a trend following trade; a trend is considered “persistent” only when RE is above a certain value, e.g. 0.3 or 0.4 . A filter to screen out choppy stocks/markets, where breakouts are frequently “fakeouts”. In an adaptive trading system, helping to determine whether to apply a trend following algorithm or a mean reversion algorithm. It is used in the calculation of Kaufman’s Adaptive Moving Average (KAMA). How to calculate the Hull Adaptive Moving Average (HAMA) Find Signal to Noise ratio (SNR) Normalize SNR from 0 to 1 Calculate adaptive alphas Apply EMAs Included Bar coloring Signals Alerts Loxx's Expanded Source Types
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loxx tarafından
3
Multiple Averages Moving - S&P 500This moving average script was created by "bren4013" & is only to be used on the Daily Chart for the S&P 500. Back tested from when the 21.5% crash started (All Time High) in August 1956, to its end (Bottom Is In) in October 1957, & to the present day. It's obvious where the signals are if you choose to take the time & look at it in detail. (Disclaimer) Trade at your own risk. Do not do what i do, or say. Trade safe. Trade smart. & remember; "Price moves indicators". "Indicators DO NOT move price". "Price will always exist without indicators". "Indicators CAN NOT exist without price". ENJOY...
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UnknownUnicorn20761272 tarafından
1
Adaptive Moving Average (AMA)Adaptive Moving Average (AMA) Technical Indicator is used for constructing a moving average with low sensitivity to price series noises and is characterized by the minimal lag for trend detection. This indicator was developed and described by Perry Kaufman in his book "Smarter Trading". One of disadvantages of different smoothing algorithms for price series is that accidental price leaps can result in the appearance of false trend signals. On the other hand, smoothing leads to the unavoidable lag of a signal about trend stop or change. This indicator was developed for eliminating these two disadvantages.
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rodsibin tarafından
Double EMA WIth Pullback Buy Sell Signal - Smarter AlgoBuilt with love "Double EMA With Pullback Buy Sell Signal " This indiator will help you to find a Double EMA Pullback Signal You can combine with your own strategy, or use this purely DISCLAIMER : Measure the risk first before use it in real market Backtest The Strategy was very important, so you know the probability Fundamentally Logical : Pullback (Some Previous candle is Red for Bull Pullback vice versa) the Entry candle must be a Candlestick Pattern Features : 1. Double EMA 2. Pullback Signal How to use it : 1. Adjust the Pullback Backstep 2. Adjust the EMA Period 3. Adjust the Style to your preferences Regards, Hanabil
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hanabil tarafından
3
PSv5 Color Magic and Chart Theme SimulatorKEEP YOUR COINS FOLKS! I DON'T NEED THEM, DON'T WANT THEM. Many other talented authors on TV deserve them. INTRODUCTION: This is my "PSv5 Color Magic and Chart Theme Simulator" displayed using Pine Script version 5.0. The purpose of this PSv5 colorcator is to show vivid colors that are most suitable in my opinion for modifying or developing Pine scripts. Whether you are new to Pine or an experienced Pine poet, this should aid you in developing indicators with stunning color from the provided color list that is easily copied and pasted into any novel script you should possess. Whichever colors you choose, and how, is up to your imagination's capacity. COMMENTARY: I have a thesis. Pine essentially is a gigantor calculator with a lot of programmable bells and whistles to perform intense analytics. Zillions of numbers per day are blended up into another cornucopia of numbers to analyze. The thing is, ALL of those numbers are moot unless we can informatively portray them in various colorized forms with unique methods to point out significant numeric events. By graphically displaying them with specific modes of operation, only then do these numbers truly make any sense to us and become quantitatively beneficial. I have to admit... I hate numbers. I never really liked them, even before I knew what an ema() was. Some days I almost can't stand them, and on occasion I feel they deserve to be flushed down the toilet at times. However, I'm a stickler for a proper gauge of measurements. Numbers are a mental burden, but they do have "purpose and meaning". That's where COLOR comes in! By applying color in specific ways in varying dynamic forms, we can generate smarter visual aids from these numerics. Numbers can be "transformed" into something colorful it wasn't before, into a tool, like a hammer. But we don't need a hammer, we need an impressive jack hammer for BIG problem solving that we could never achieve in the not to distant past. As time goes on, we analytically measure more, and more, and more each year. It's necessary to our continual evolution. That's one significant difference between us and cave men, and the pertinent reason why we are quickly evolving as a species, while animals haven't. Humankind is gifted to enumerate very well AND blessed to see in color. We use it for innumerable things in the technological present for purpose and pleasure. Day in and day out, we take color for granted, because it's every where we can look. The fact is, color is the most important apparatus in humankind's existence EVER. We wouldn't have survived this far without it. By utilizing color to it's grand potential, greater advancements can be attained while simultaneously being enjoyed visually. Once color is transformed from it's numeric origins into applicable tools, we can enjoy the style, elegance, and QUALITATIVE nature of the indication that can be forged. Quantities can't reveal all. Color on the other hand has a handy "quality" factor to it, often revealing things we can't ordinarily recognize. When high quality tools provide us with obtained goals, that's when we will realize how magical color truly is, always has been, and shall always be. The future emerging economies and future financial vessels of people around the globe are going to be dependent on the secured construction of intelligent applications with a rock solid color foundation, not just math alone. I have no doubt about that. I can envision that with my eyes closed. To make an informed choice, it should be charted or graphed somehow prior to a final executive decision to trade. Going back to abysmal black and white with double decimal points placed next to cartoons within extinction doomed newspapers is not a viable option any more. OBSERVATIONS AND UTILITY: One thing you will notice is the code is very dense. Looks almost hideous right? Well, the variable naming is lengthy, but it's purpose is to be self explanatory, even for those who don't know how to program, YET. I'm simply not a notation enthusiast. My main intention was to provide clearly identifiable variables from their origin of assignment to their intended destination of use, clearly visible for anyone visiting. The empowerment of well versed words that are easier to understand, is a close rival to the prominent influence color has. Secondly, I'm displaying hline() and label.new() as prime candidates to exemplify by demonstration how the "Power of Color" can be embraced with the "Power of Pine". Color in Pine has been extensively upgraded to serve novel purposes to accomplish next generation indicators that do and WILL come to exist. New functions included with PSv5 are color.rgb(), color.from_gradient(), color.r(), color.g(), color.b(), and color.t() to accompany color.new() in our mutual TV adventures. Keep in mind, the extreme agility of color also extends to line.new(), the "entirely new" linefill.new(), table.new(), bgcolor() and every other function that may utilize color. There's a wide range of adjustability in Settings to make selections to see how they perform on different backgrounds, with their size and form. As you curiously toy with those, you're going to notice how some jump out like laser beams while others don't. Things that aren't visually appealing, still have very viable purposes, even if they don't stand out in the crowd. Often, that's preferable. The important thing is that when pertinent information relative to indication is crucial, you can program it with distinction from an assortment of a potential 1.67 million colors that can be created in Pine. "These" are my chosen favorite few, and I hope you adopt them. PURPOSES: For those of you who are new to Pine Script, this also may help you understand color hex/rgb and how it is utilized in Pine in a most effective manner. The most skilled of programmers can garner perks as well. There is countless examples of code diversity present here that are applicable in other scripts with adequate mutation. Any member has the freedom use any of this code in this script any way they see fit. It's specifically intended for all. There is absolutely no need for accreditation for any of this code reuse ever, in the present case. Don't worry about, I'm not. The color_tostring() will be most valuable in troubleshooting color when using color.rgb() and becoming adept with it. I'm not going to be able to use color.rgb() without it. Chameleon indicators of the polychromatic variety are most likely going to be fine tuned with color_tostring() divulging it's results to label.new() or even table.new() maybe. One the best virtues of this script in chart, is when you hover over the generated labels, there's a hidden gift for those who truly wish to learn the intricate mechanics of diverse color in Pine. Settings has informative tooltips too. AFTERTHOUGHTS: Colors are most vibrant on the "Black Chart" which is the default, but it doesn't currently exist as a chart theme. With the extreme luminous intensity of LCDs in millicandela( mcd ), you may notice "Light" charts may saturate the colors making charts challenging to analyze. Because of this, I personally use "Dark Charts" and design my indicators specifically for these. I hope this provides inspiration for the future developers who are contemplating the creation of next generation indicators and how color may enhance their usefulness. When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members , I may implement more ideas when they present themselves as worthy additions. Have a profitable future everyone!
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ImmortalFreedom tarafından
11
CMT's ProGo indicator v.2This was inspired by William's ProGo, which is an oscillator with a fast line based on today's open minus close compared to a slow line derived from yesterday's open minus close. These are tied to the 14 day SMA in both cases. William's hypothesis is that smart money makes its decisions based on what's happening now and dumb money makes their decisions slower. My hypothesis is that smart money reacts faster and in a more straightforward manner based on current price action while dumb money takes even longer than WIlliam's factored due to overthinking things. To reflect this, I've tied the pro line to the 1 SMA and the amateur line to the 21 SMA then changed the formula for the amateur line to open divided by close. That's a really cute story and all, but let's throw out all of the smart money/dumb money stuff and strap our boots to reality. How to use: 1.) What we're looking at in the end is an examination of the relationship between price action and the 21 SMA. Since we're exploring rate of change and momentum, divergences should be relevant, right? And divergences are relevant in this indicator. These divergences are pretty good and tend to work in harmony with the trend, though can signal reversal points. 2.) This is not a real time oscillator. It involves three levels of derivation. Sometimes it'll provide leading signals and sometimes it'll show lagging signals because we're comparing the present against the past through a filter. 3.) I've noticed that this oscillator can be used to generate angled trend lines in some cases before they become evident through price action. This is interesting. What you'll do is slap some trend lines onto the oscillator, copy those then paste them onto the price action chart, copy them a few times to create a channel and see what's what. Horizontal support and resistance on the oscillator seems to translate into future price action S/R as well. THAT's interesting. 4.) On lower time frames, this indicator will do a pretty good job of letting you know whether you're in a bearish or bullish trend. 5.) Because of how the oscillator is formulated, it only recognizes Bitcoin as either bullish or ranging on higher time frames and will only ever register bearish on lower time frames. I don't think this will ever change, but if it does register BTC as bearish on higher time frames, I'd be real worried about Bitcoin. 6.) You'll notice that over time, volatility in the oscillator increases. Neat, huh? Yeah, it'll increase as market cap does. Take care and have fun with that. v2.0 Improvements: Divergences have been added.
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ChronicMasturTrader tarafından
5