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Multi-timeframe MAs + Stoch RSI SignalsHello traders, I welcome you to my first published script on TradingView: “Multi-timeframe Moving Averages + Stochastic RSI”. The script is based on a simple formula: Buy signals are generated when a fast moving average is above a slower moving average (uptrend) and the Stochastic RSI K line is crossing above the oversold level (entry). Sell signals are generated when a fast moving average is below a slower moving average (downtrend) and the Stochastic RSI K line is crossing below the overbought level (entry). This indicator works best in strong trends! **Please note the above example has repainting turned on which may produce unrealistic results when viewing historical data. See below for more information regarding this and how you can turn it off.** The user has the following inputs: - Option to change the Stochastic RSI settings, including the oversold and overbought levels. - Option to enter any value for both the Fast Moving Average and the Slow Moving Average. - Option to change between EMA or SMA for each moving average. - Multiple time frames to choose from, as well as the ability to selectively turn off individual time frames (both plots and alerts). (Default time frames are 1 hour, 4 hour, and Daily. You can have a 4th time frame by changing your current time frame to something lower than the other 3 time frames) - Turn on/off repainting: If repainting is turned on you will get an alert and buy/sell signal on chart immediately when condition is met, however the signal may disappear from chart if the condition reverses during the same candle. If repainting is turned off, the indicator will wait for the candle to close before issuing the alert and painting the signal on chart. For higher time frames, the indicator will wait for the candle in the higher time frame to close before issuing a signal if repaint is turned off. Default is set to Repaint on, so please be aware of this if you do not want repainting. How to use alerts: - Before you do anything, make sure your current time frame is the lowest time frame you’d like alerts on, as you will still receive alerts for the higher time frames you selected in settings. - Once you have all the settings changed to how you like, save your chart first. Then right click on any of the indicator’s buy/sell signals on the chart and click “Add Alert on MAs + Stoch RSI”. - Make sure “Any alert() function call” is selected under the Condition. - You can delete or change the text in “Alert name” if you want as the alert message is already built into the indicator, and it will tell you in the alert message which asset and time frame to buy or sell. Other things to note: - The indicator will not display the buy/sell signals of lower time frames when you are on a higher time frame. This was done purposely to reduce clutter on the chart when you switch to higher time frames. - While the alert message will tell you which time frame a signal was generated, the plots on the chart will instead show “Buy/Sell TF1, or TF2, or TF3”. If the signal is from the current time frame that the alert was created on, then it will simply show “Buy” or “Sell”. Hope you guys enjoy using this one, please drop a like if you found it useful. If anyone wants to modify my script in any way, please just credit me for the original work when you publish the script. Good luck!
Pine Script®指標
由tommyf1001提供
12
Ultimate Screener TemplateHello Traders With the Ultimate Strategy Template , I shared a template to connect any indicator to this template and get backtesting results in less than a few minutes Now sharing another template ... many traders ask me to develop for them a screener/scanner based on a custom indicator on TradingView. The current TradingView screeners are great but don't allow for much customization; as we can only select pre-defined filters I don't know when we'll be able to natively screen among hundreds of assets with a custom indicator... then.... I created this template for the time being.... which should A whole new world The Ultimate Screener Template screens over 38 securities. What's very cool is that you'll only need to create 1 alert to scan over 38 securities: Explanation with this image here I totally understand that not all TradingView accounts have a lot of alarms; with this template, you can multiply the number of custom alerts you're initially allowed to. What if I need to set alerts on more than 38 securities? Pretty straightforward... you can create alerts only if the indicator is added to your chart first. So if you need let's say 100 securities, add this indicator 3 times on your chart (38*3 > 100) and then... edit the securities for your 3 indicators How to update your Screener settings Alert mode As per Pinescript reference , this template allows setting the alert frequency Possible values are: - alert.freq_all (all function calls trigger the alert) - alert.freq_once_per_bar (the first function call during the bar triggers the alert) - alert.freq_once_per_bar_close (the function call triggers the alert only when it occurs during the last script iteration of the real-time bar when it closes). All-time-high and All-time-low This template shows how to capture ATH and ATL alerts across many securities I used the functions from Quantnomad: Whenever a new ATH or ATL is made, the screener will send a personalized alarm with a personalized text based on the security triggering this alarm The code is pretty straightforward and shows you the part you'll need to update to transform your favorite custom indicator into a powerful screener. If anything is unclear in the code, please leave a comment and I'll respond as soon as possible All the best Dave
Pine Script®指標
由Daveatt提供
45
Flawless Victory Strategy - 15min BTC Machine Learning StrategyHello everyone, I am a heavy Python programmer bringing machine learning to TradingView. This 15 minute Bitcoin Long strategy was created using a machine learning library and 1 year of historical data in Python. Every parameter is hyper optimized to bring you the most profitable buy and sell signals for Bitcoin on the 15min chart. The historical Bitcoin data was gathered from Binance API, in case you want to know the best exchange to use this long strategy. It is a simple Bollinger Band and RSI strategy with two versions included in the tradingview settings. The first version has a Sharpe Ratio of 7.5 which is amazing, and the second version includes the best stop loss and take profit positions with a Sharpe Ratio of 2.5 . Let me talk a little bit more about how the strategy works. The buy signal is triggered when close price is less than lower Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. The sell signal is triggered when close price is greater than upper Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. What makes this strategy interesting is the parameters the Machine Learning library found when backtesting for the best Sharpe Ratio. I left my computer on for about 28 hours to fully backtest 5000 EPOCHS and get the results. I was able to create a great strategy that might be one of TradingView's best strategies out on the website today. I will continue to apply machine learning to all my strategies from here on forward. Please Let me know if you have any questions or certain strategies you would like me to hyper optimize for you. I'm always willing to create profitable strategies! P.S. You can always pyramid this strategy for more gains! I just don't add pyramiding when creating my strategies because I want to show you the true win/loss ratio based buying one time and one selling one time. I feel like when creating a strategy that includes pyramiding right off the bat falsifies the win rate. This is my way of being transparent with you all. Have fun trading!
Pine Script®策略
由Trebor_Namor提供
199
Windowed Volume Weighted Moving AverageIntroduction The concept of windowing was briefly introduced in the Blackman filter post, however windowing is more than just some window functions, and isn't exclusively used in filter design. Today we will use windowing with the volume weighted moving average, a moving average that weight the price with volume in order to be more reactive when volume is high, that is the moving average is more reactive when the market is more active. The use of windowing in the vwma allow to enhance its performance in the frequency domain which result in a smoother output. Note that i made a similar indicator long ago, but at that time I was not great at all with math and pinescript in general and the indicator was therefore wrong, i want to remind to the community that i'am not a professional, only an enthusiast, I never claimed to be a master coder and i'am totally open to receive criticism, if I sounded like bragging in the past I apologize, at 20 years old it is still easy to act like a kid, the information contained in my posts is only shared in order to help others but also myself, since sharing is also a way to learn more effectively. That said lets go with the indicator. Windowing Windowing consist on applying a window function to a signal, by applying i mostly talk about multiplying, this process is mostly used with windowed sinc filters in order to reduce ripples in the pass/stop band, but can be used with any kind of filters in order to have better frequency domain performance, the only thing we need to do is to multiply the filter weights by a window function. In order to understand windowing it is useful to visualize this process and understand spectral leakage. Remember that we can describe a signal as the sum of sine/cosine waves of different frequencies, amplitude and phase, leakage is an effect that appear with signals having discontinuities, that is when a signal non periodic. This figure show a non periodic sine wave of frequency 0.1, a non periodic signal will have is last sample value different from its first sample value, if we where to do its fourier transform we wouldn't end up with a single bin at 0.1 but with more bins, this is spectral leakage, the discontinuities in the signal create additional frequency components. In order to reduce leakage we must make the signal approximately periodic, this is done by making use of window functions. A window function is symmetric and relatively smooth, all we have to do is to multiply our first non periodic signal with the window function. We end up with the following windowed signal : The signal is approximately periodic and leakage has been reduced. Now that we have seen that, it might be useful to see why it is useful in filters. Remember that the Fourier transform of the filter weights gives us its frequency response, if our weights introduce leakage we end up with ripples, so windowing the filter weights might help reduce the ripples in the frequency response, which result in a smoother filter output. Volume Weighted Moving Average A volume weighted moving average is a FIR filter who use volume as filter kernel, therefore the frequency response of this filter always change, it is therefore not wrong to qualify the vwma as an adaptive moving average. Higher volume mean higher weighting of the current closing price value, which therefore produce a more reactive output. However the smoothness of the moving average is relatively poor. Windowed Volume Weighted Moving Average The proposed moving average has a length setting who control the moving average period, and various options that we will describe below. The first option is the type of window, there are many windows, certains more complex than others, here 3 windows are proposed, the famous Blackman window, the Bartlett, and finally the Hanning window, they provide each different level of smoothness. lets compare our moving average with period 100 with a vwma of the same period. Our moving average in red, and the vwma in blue. As you can see the results are smoother. The power parameter is used in order to give an even higher weighting to closing prices with high volume, this create a more boxy output. Below is a comparison with a vwma in blue and a powered vwma in red with power = 2 without windowing : We can then apply a window, here i will choose the Blackman window : Conclusion A new moving average based on windowed volume weighting has been proposed. The result are smoother which might therefore reduce whipsaw trades. I wish i could have explained things better, unfortunately windowing isn't something i use much, i wanted to post this moving average earlier this year. I will be off in France for 1 week, my flight is tomorrow in the morning, therefore i don't think i'll have the possibility to make other posts this year. I want to profit from this occasion to review my year in tradingview. Many indicators have been posted, some being extremely bad and others really interesting, this year introduced my attempts on estimating the lsma efficiently, the linear channels, an attempt on making lines and remain the first indicator from the v4 i posted if i'am right. Then came the efficient auto-line, who gained some popularity quite fast. Then finally the %G oscillator and the recursive bands where posted, and remain some of the favorites indicators i made. I also wanted to leave this year due to studies, that i totally abandoned, i'am thankful that i chosen to stay. I also want to express my apologies to any member that i could have offended, i think that i'am not a mean person but i certainly not contest the fact that i'am clumsy, even in my work, however my clumsiness is far greater when it comes to interact with other peoples or a group of peoples, i don't want to hurt anyone, if i made anything that made you feel bad then i'am sincerely sorry, and hope we can start this new year from 0. Finally i thank the tradingview community for their interest and curiosity, i thank all the great coders who work on making pinescript a better scripting language, i also thank the tradingview staff for their work this year. I wish you all a merry christmas, and an happy new year. Thanks for reading.
Pine Script®指標
由alexgrover提供
7
Peak Valley Estimation StrategyIntroduction Its the first strategy that i post here, so don't expect ground breaking stuff, when testing my indicators i always used prorealtime and not tradingview. This strategy use signals generated by the peak/valley estimator indicator i posted long ago, i think the signals generated where sometimes quite accurate in some markets thus providing potential material for a profitable strategy. The indicator use 3 parameters, therefore the optimisation process is not easy, but i selected what i judged good parameters values at first glance. The strategy is in its more simple form without stop or anything, the detection of peaks and valley can allow for tighter stops since we expect the price to reverse, but take into account that sops and take profits are parameters subject to optimization process except if selected with strict money management rules and not profit optimization. Of course trading the strategy in this form is far from being great, if we take into account the market non stationarity then we might expect loss during trending markets. Trend strength indicators could help switch from a reversal to breakout strategy thus maybe providing more control. I really hope you find an use for the strategy. Notes Its been three long years since i started tradingview, and i put more efforts in my indicators than in my studies and life overall, this have created complicated situations and i can't afford to follow up with this, therefore i announce that in the end of june i will leave tradingview for quite a long time, at least until i have my degree. I announce it in advance in case some of you want helps of any kind. I will post all the indicators, both in progress and finished i have made during those three years. I hope you can all understand. Thanks for reading !
Pine Script®策略
由alexgrover提供
15
CM Stochastic POP Method 1 - Jake Bernstein_V1A good friend ucsgears recently published a Stochastic Pop Indicator designed by Jake Bernstein with a modified version he found. I spoke to Jake this morning and asked if he had any updates to his Stochastic POP Trading Method. Attached is a PDF Jake published a while back (Please read for basic rules, which also Includes a New Method). I will release the Additional Method Tomorrow. Jake asked me to share that he has Updated this Method Recently. Now across all symbols he has found the Stochastic Values of 60 and 30 to be the most profitable. NOTE - This can be Significantly Optimized for certain Symbols/Markets. Jake Bernstein will be a contributor on TradingView when Backtesting/Strategies are released. Jake is one of the Top Trading System Developers in the world with 45+ years experience and he is going to teach how to create Trading Systems and how to Optimize the correct way. Below are a few Strategy Results....Soon You Will Be Able To Find Results Like This Yourself on TradingView.com BackTesting Results Example: EUR-USD Daily Chart Since 01/01/2005 Strategy 1: Go Long When Stochastic Crosses Above 60. Go Short When Stochastic Crosses Below 30. Exit Long/Short When Stochastic has a Reverse Cross of Entry Value. Results: Total Trades = 164 Profit = 50, 126 Pips Win% = 38.4% Profit Factor = 1.35 Avg Trade = 306 Pips Profit ***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6 Strategy 2: Rules - Proprietary Optimization Jake Will Teach. Only Added 1 Additional Exit Rule. Results: Total Trades = 164 Profit = 62, 876 Pips!!! Win% = 38.4% Profit Factor = 1.44 Avg Trade = 383 Pips Profit ***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6 Strategy 3: Rules - Proprietary Optimization Jake Will Teach. Only added 1 Additional Exit Rule. Results: Winning Percent Increases to 72.6%!!! , Same Amount of Trades. ***Most Consecutive Wins = 21 ...Most Consecutive Losses = 4 Indicator Includes: -Ability to Color Candles (CheckBox In Inputs Tab) Green = Long Trade Blue = No Trade Red = Short Trade -Color Coded Stochastic Line based on being Above/Below or In Between Entry Lines. Link To Jakes PDF with Rules dl.dropboxusercontent.com
Pine Script®指標
由ChrisMoody提供
44
Volume BombI am republishing to use a clean chart. Previous one had too much of a mess. Idea for TradingView: Please allow us to change out the charts after publishing. I like to know when volume spikes (only when it spikes). I am not interested in seeing the rest of the volume bars. I created this indicator to show me when it explodes (i.e. the name "Volume Bomb" , plus it sounds cool). This indicator only shows you when volume exceeds the EMA of volume by whatever multiplier you set. Default settings are the current volume with 10 EMA. Yellow arrowup will appear when volume is at 1.5x the 10 EMA. Adjust it to your liking and particular stock.
Pine Script®指標
由repo32提供
9
2 MA + Strat Candle ColorsThe "2 MA + Strat Candle Colors" indicator combines two customizable moving averages (MAs) with a strategic candle-coloring system to help traders analyze trends and price action. Here’s a breakdown of its features: 1. Two Moving Averages (MAs): MA 1 & MA 2 Settings: Users can select between 7 MA types for each line: SMA, EMA, WMA, HMA, VWMA, LSMA, SMMA. Adjustable periods and price sources (e.g., close, open) for both MAs. Default settings: MA 1 = 9-period EMA, MA 2 = 20-period EMA. Plotting: MA 1 is blue, MA 2 is red (colors customizable via inputs). Crossovers between the MAs can signal trend changes. 2. Strategic Candle Coloring: Candles are colored based on their relationship to the previous candle: Green (Bullish): "Two-Up Bar" – current high > prior high, and low does not break prior low. Red (Bearish): "Two-Down Bar" – current low < prior low, and high does not break prior high. Purple (Outside Bar): "Three Bar" – current candle engulfs the prior candle (higher high and lower low). Yellow (Inside Bar): "One Bar" – current candle is contained within the prior candle’s range. Candle coloring is based on:
Pine Script®指標
由CSP_22提供
OBV Cross Signals With Buy/Sell & AlertThis TradingView indicator generates Buy and Sell signals based on the On-Balance Volume (OBV) and its Signal line crossover/crossunder. Labels are plotted just above or below the candles at the exact points where OBV crosses the Signal line. It includes a single alert (“New Cross”) that triggers once per new crossover or crossunder, allowing traders to receive timely notifications for potential trend changes. Built using an existing open-source OBV script on TradingView. Sincere thanks to Everget for the base code.
Pine Script®指標
由arupnj2018提供
1
Fiery River### Description of the "Fiery River" (FR) Indicator **Overview of the Indicator** "Fiery River" (abbreviated as FR) is a technical indicator for TradingView, written in Pine Script version 6. It's designed for traders who incorporate Fibonacci levels with moving averages to analyze support and resistance zones. The indicator dynamically plots levels based on a selected moving average (MA) and Fibonacci multipliers, displaying them on the current timeframe and an additional secondary timeframe. This helps visualize potential reversal or continuation points, making analysis more comprehensive. The name "Fiery River" evokes a "fiery" flow of levels that "stream" across the chart, adapting to price movements. 🔥 **Key Features** - **Level Construction**: The indicator calculates a moving average (EMA, SMA, WMA, RMA, or HMA) from the closing price and multiplies it by specified Fibonacci coefficients (0.618, 0.5, 0.382, 0.27, 0.18 for "long" levels and 1.618, 1.5, 1.382 for "short" levels). This creates 10 lines: 5 for the current timeframe (fully visible) and 5 for the secondary timeframe (with semi-transparency for distinction). - **Color Scheme**: Levels are colored in gray, red, orange, and green, with additional "short" variants for extensions. - **Fills**: Green fills are added between level pairs to highlight areas of interest, making the chart more visually intuitive. - **Alerts**: Automatic notifications when the price touches levels (e.g., "Price touches Red line"), helping you stay on top of key moments. - **Multi-Timeframe Support**: Incorporates a secondary timeframe (e.g., daily if the main is hourly) for comparing levels across different scales. **How to Use** 1. Add the indicator to your chart in TradingView. 2. Customize settings in the panel: Select MA type, period (default 89), secondary timeframe, and Fibonacci coefficients. 3. Analyze levels as potential entry/exit points: Gray and red for stronger zones, green for weaker ones. Use fills to identify ranges. 4. Enable alerts for real-time signals. It's ideal for strategies based on Fibonacci and trends, but always combine with other tools for confirmation. 📈 **Advantages and Limitations** - **Pros**: Highly customizable, visually clear, supports multiple MA types and timeframes. Great for scalping and swing trading. - **Cons**: Can create a lot of lines on the chart, potentially overwhelming if not managed. May require testing for optimal settings on volatile assets. If you need any adjustments, more details, or help with the code, just let me know! 😊
Pine Script®指標
由lcybidxz提供
MEMEC - Meme Coin Market Cap [Da_Prof]For this indicator, the meme coin market cap of the top meme coins are added together to get an estimate of the total meme coin market cap back to the first meme coin, DOGE. Meme.C does this natively on TradingView, but its data only goes back to 19 May 2025. For the indicator, MEME.C supersedes the addition of all the individual meme coins (i.e., from 19 May 2025 to present). The start of MEME.C is labeled on the chart by default, but can be removed by deselecting the label in the settings. After the creation of DOGE, but before data is available for Meme.C, the highest market cap meme coins are added together to estimate the meme coin market cap. The meme coins used by default are DOGE, SHIB, PEPE, BONK, FLOKI, PENGU, TRUMP, SPX6900, FARTCOIN, WIF, M, BRETT, B, MOG, APE, TURBO, DOG, and POPCAT. Users can select if they wish to disregard any or all of these coins. As of the creation of the indicator, DOGE, SHIB, and PEPE have CRYPTOCAP symbols on TradingView. Therefore, the true market cap of these coins is integrated into this indicator. The other meme coin market caps are estimated using price and the circulating supply as of 09/16/2025. I make no claims as to the indicator's exact accuracy. In fact, it isn't exactly accurate since I utilized the circulating supply on the day it was created, so for meme coins that have a changing supply, the market cap will be at least slightly inaccurate. Use this indicator at your own risk. To use the indicator, it is best to plot overlayed on the CRYPTOCAP:DOGE chart. You can decide whether or not to hide the DOGE market cap.
Pine Script®指標
由Da_Prof提供
4
Expected Value Monte CarloI created this indicator after noticing that there was no Expected Value indicator here on TradingView. The EVMC provides statistical Expected Value to what might happen in the future regarding the asset you are analyzing. It uses 2 quantitative methods: Historical Backtest to ground your analysis in long-term, factual data. Monte Carlo Simulation to project a cone of probable future outcomes based on recent market behavior. This gives you a data-driven edge to quantify risk, and make more informed trading decisions. The indicator includes: Dual analysis: Combines historical probability with forward-looking simulation. Quantified projections: Provides the Expected Value ($ and %), Win Rate, and Sharpe Ratio for both methods. Asset-aware: Automatically adjusts its calculations for Stocks (252 trading days) and Crypto (365 days) for mathematical accuracy. The projection cone shows the mean expected path and the +/- 1 standard deviation range of outcomes. No repainting Calculation: 1. Historical Expected Value: This is a systematic backtest over thousands of bars. It calculates the return Rᵢ for N past trades (buy-and-hold). The Historical EV is the simple average of these returns, giving a baseline performance measure. Historical EV % = (Σ Rᵢ) / N 2. Monte Carlo Projection: This projection uses the Geometric Brownian Motion (GBM) model to simulate thousands of future price paths based on the market's recent behavior. It first measures the drift (μ), or recent trend, and volatility (σ), or recent risk, from the Projection Lookback period. It then projects a final return for each simulation using the core GBM formula: Projected Return = exp( (μ - σ²/2)T + σ√T * Z ) - 1 (Where T is the time horizon and Z is a random variable for the simulation.) The purple line on the chart is the average of all simulated outcomes (the Monte Carlo EV). The cone represents one standard deviation of those outcomes. The dashed lines represent one standard deviation (+/- 1σ) from the average, forming a cone of probable outcomes. Roughly 68% of the simulated paths ended within this cone. This projection answers the question: "If the recent trend and volatility continue, where is the price most likely to go?" Here's how to read the indicator Expected Value ($/%): Is my average trade profitable? Win Rate: How often can I expect to be right? Sharpe Ratio: Am I being adequately compensated for the risk I'm taking? User Guide Max trade duration (bars): This is your analysis timeframe. Are you interested in the probable outcome over the next month (21 bars), quarter (63 bars), or year (252 bars)? Position size ($): Set this to your typical trade size to see the Expected Value in real dollar terms. Projection lookback (bars): This is the most important input for the Monte Carlo model. A short lookback (e.g., 50) makes the projection highly sensitive to recent momentum. Use this to identify potential recency bias. A long lookback (e.g., 252) provides a more stable, long-term projection of trend and volatility. Historical Lookback (bars): For the historical backtest, more data is always better. Use the maximum that your TradingView plan allows for the most statistically significant results. Use TP/SL for Historical EV: Check this box to see how the historical performance would have changed if you had used a simple Take Profit and Stop Loss, rather than just holding for the full duration. I hope you find this indicator useful and please let me know if you have any suggestions. 😊
Pine Script®指標
由HenriqueCentieiro提供
2
IV Rank (tasty-style) — VIXFix / HV ProxyIV Rank (tasty-style) — VIXFix / HV Proxy Overview This indicator replicates tastytrade’s IV Rank calculation—but built entirely inside TradingView. Because TradingView does not expose live option-chain implied volatility, the script lets you choose between two widely used price-based IV proxies: VIXFix (Williams VIX Fix): a fast-reacting volatility estimate derived from price extremes. HV(30): 30-day annualized historical volatility of daily log returns. The goal is to approximate the “rich vs. cheap” option volatility environment that traders use to decide whether to sell or buy premium. Formula IV Rank answers the question: Where is current implied volatility relative to its own 1-year range? 𝐼 𝑉 𝑅 = 𝐼 𝑉 𝑐 𝑢 𝑟 𝑟 𝑒 𝑛 𝑡 − 𝐼 𝑉 1 𝑦 𝐿 𝑜 𝑤 𝐼 𝑉 1 𝑦 𝐻 𝑖 𝑔 ℎ − 𝐼 𝑉 1 𝑦 𝐿 𝑜 𝑤 × 100 IVR= IV 1yHigh ​ −IV 1yLow ​ IV current ​ −IV 1yLow ​ ​ ×100 IVcurrent: Current value of the chosen IV proxy. IV1yHigh/Low: Highest and lowest proxy values over the user-defined lookback (default 252 trading days ≈ 1 year). IVR = 0 → Current IV equals its 1-year low IVR = 100 → Current IV equals its 1-year high IVR ≈ 50 → Current IV sits mid-range How to Use High IV Rank (≥50–60%) Options are relatively expensive → short-premium strategies (credit spreads, iron condors, straddles) may be more attractive. Low IV Rank (≤20%) Options are relatively cheap → long-premium strategies (debit spreads, calendars, diagonals) may offer better risk/reward. Combine with your own analysis, liquidity checks, and risk management. Inputs & Customization IV Source: Choose “VIXFix” or “HV(30)” as the volatility proxy. IVR Lookback: Rolling window for 1-year high/low (default 252 trading days). VIXFix Parameters: Length and stdev multiplier to fine-tune sensitivity. Info Label: Optional on-chart label displays current IV proxy, 1-year high/low, and IV Rank. Alerts: Optional alerts when IVR crosses 50, falls below 20, or rises above 80. Notes & Limitations This indicator does not pull real option-chain IV. It provides a close structural analogue to tastytrade’s IV Rank using price-derived proxies for markets where options data is not directly available. For live option IV, use broker platforms or third-party data feeds alongside this script. Tags: IV Rank, Implied Volatility, Tastytrade, VIXFix, Historical Volatility, Options, Premium Selling, Debit Spreads, Market Volatility
Pine Script®指標
由steveoptionstrade2025提供
Intelligent Currency Breakout ChannelIndicator: Intelligent Currency Breakout Channel This document provides a detailed explanation of the "Intelligent Currency Breakout Channel" indicator for TradingView. 1. Overview The Intelligent Currency Breakout Channel is an advanced technical analysis tool designed to identify periods of price consolidation and signal potential breakouts. It automatically draws channels around ranging price action and utilizes sophisticated volume analysis to provide deeper insights into market sentiment. The indicator also includes a built-in logarithmic regression screener to help traders align their breakout signals with the broader market trend. 2. Key Features Automatic Channel Detection: The indicator identifies periods of low volatility and automatically draws a containing channel (box) around the price action. Breakout Signals: It generates clear visual alerts (▲ for bullish, ▼ for bearish) when the price closes decisively outside of a channel. In-Depth Volume Analysis: Within each channel, the indicator plots volume as candlestick-like bars, offering three distinct modes: Total Volume, Buy/Sell Comparison, and Volume Delta. This helps traders gauge the strength and conviction behind price movements. Real-time Sentiment Gauge: When a channel is active, a dynamic color-graded gauge appears on the right side of the chart. It visualizes the current volume delta momentum relative to its recent range, offering an at-a-glance sentiment reading. Integrated Trend Screener: A secondary analysis tool based on logarithmic regression is included to determine the underlying trend direction (Up, Down, or Neutral), which can be used to filter breakout signals. Fully Customizable: Users can extensively customize all parameters, from calculation lengths and breakout sensitivity to the visual appearance of every component. 3. How to Use Channel Formation: Watch for the indicator to draw a new channel. This signifies that the market is in a consolidation or ranging phase. The formation of a channel itself can be an alertable event. Volume Interpretation: Observe the volume bars inside the channel. An increase in volume as the price approaches the channel's upper or lower boundary can foreshadow a potential breakout. Use the Volume Display Mode to analyze if buying pressure (Comparison, Delta) or selling pressure is building. Breakout Confirmation: A bullish breakout signal (▲) appears when the price closes above the channel's upper boundary. A bearish breakout signal (▼) appears when the price closes below the lower boundary. For higher-quality signals, enable the Strong Closes Only option. Trend Confirmation (Screener): Use the screener's plot and background color to confirm the broader trend. For instance, you might choose to only take bullish breakout signals when the screener indicates an uptrend (green background) and bearish signals when it indicates a downtrend (red background). Sentiment Gauge: The pointer on the gauge indicates current momentum. A pointer in the upper (green) section suggests bullish pressure, while a pointer in the lower (red) section suggests bearish pressure. This can provide additional confluence for a trade decision. 4. Settings and Inputs Main Settings Overlap Channels: If enabled, allows multiple channels to be drawn on the chart simultaneously, even if they overlap. When disabled, a new channel will only form if it doesn't intersect with an existing one. Strong Closes Only: If enabled, a breakout is only triggered if the midpoint of the candle's body (average of open and close) is outside the channel. This helps filter out false signals caused by long wicks. If disabled, any close outside the channel triggers a breakout. Normalization Length: The lookback period (in bars) used for price normalization. A higher value creates a more stable normalization but may be slower to react to recent price changes. Box Detection Length: The lookback period used to detect the channel formation pattern. A lower value will result in more frequent channels but may be more sensitive to noise. A higher value will result in fewer, but potentially more significant, channels. Volume Analysis Show Volume Analysis: Toggles the visibility of the candlestick-like volume bars inside the channel. Volume Display Mode: Volume: Displays total volume as symmetrical bars around the channel's midline. Comparison: Shows buying volume (green) above the midline and selling volume (red) below it. Delta: Shows the net difference between buying and selling volume. Positive delta is shown above the midline, and negative delta is shown below. Volume Delta Timeframe Source: The timeframe from which to source volume data for calculations. Using a lower timeframe can provide a more granular view of volume dynamics. Volume Scaling: A multiplier that adjusts the vertical size of the volume bars relative to the channel's height. Appearance Volume Text Size: Sets the size of the volume data text displayed in the corners of the channel. Options: Tiny, Small, Medium, Large. Bullish Color: The primary color for all bullish visual elements, including breakout signals and positive volume bars. Bearish Color: The primary color for all bearish visual elements, including breakout signals and negative volume bars. Screener Settings Lookback Period: The number of bars used for the logarithmic regression calculation to determine the trend. Screener Type: Log Regression Channel: The signal is based on the slope of the entire regression channel over the lookback period. An upward sloping channel is bullish (1), and a downward sloping one is bearish (-1). Logarithmic Regression: The signal is based on the most recent value of the regression line compared to its value 3 bars ago. This provides a more responsive measure of the immediate trend. 5. Alerts You can set up the following alerts through the TradingView alerts panel: New Channel Formed: Triggers when a new price consolidation channel is detected and drawn on the chart. Bullish Breakout: Triggers when the price breaks out and closes above the upper boundary of a channel. Bearish Breakout: Triggers when the price breaks out and closes below the lower boundary of a channel. Is In Channel: Triggers on every bar that the price is currently trading inside an active channel. Signal UP: Triggers when the Screener's signal turns bullish (1). Signal DOWN: Triggers when the Screener's signal turns bearish (-1).
Pine Script®指標
由imtpcsuva提供
CTS-StochasticThis Pine Script code defines a custom technical indicator for the TradingView platform called "CTS-Stochastic Complete". It calculates and displays a standard stochastic oscillator and generates trading signals based on unconventional crossover logic. Here is a breakdown of its functionality: Core Functionality The script calculates the Stochastic Oscillator, a momentum indicator that compares a particular closing price of an asset to a range of its prices over a certain period of time. It consists of two lines: %K Line: The main stochastic line, calculated and then smoothed. %D Line: A moving average of the %K line, acting as a signal line. These two lines oscillate between 0 and 100. Key Sections of the Code: Indicator Declaration: indicator("CTS-Stochastic Complete", ... overlay=false): This line declares the script as an indicator that will be displayed in a separate panel below the main price chart. User Inputs: You can customize the indicator's parameters from the settings menu: Stochastic Length: The lookback period for the stochastic calculation (default is 14). %K Smoothing: The period for smoothing the raw stochastic to create the %K line (default is 3). %D Smoothing: The period for the moving average of the %K line to create the %D line (default is 3). Upper Band: The threshold for the overbought level (default is 65). Lower Band: The threshold for the oversold level (default is 35). Plotting: It plots the %K line in blue and the %D line in orange. It draws two horizontal lines: a red "Upper Band" for the overbought level and a green "Lower Band" for the oversold level. Signal Logic and Visualization: Buy Signal: A green triangle pointing up appears at the top of the indicator window when the blue %K line crosses above the red overBought line. Sell Signal: A red triangle pointing down appears at the bottom of the indicator window when the blue %K line crosses below the green underSold line. Note: The signal logic is unconventional. Typically, a buy signal is generated when the stochastic crosses up from the oversold area, and a sell signal occurs when it crosses down from the overbought area. This script's logic is reversed from the traditional interpretation. Alerts: The script includes alertcondition functions that allow you to create server-side alerts in TradingView. You can set up notifications for when a "Buy Signal" or "Sell Signal" occurs based on the logic described above.
Pine Script®指標
由New-sky-vn提供
Cumulative Volume Delta Candles Aggregated (Lite)Cumulative Volume Delta Candles Aggregated (Lite) Multi-Exchange CVD Visualization in Candle Format This indicator provides an aggregated Cumulative Volume Delta (CVD) view across multiple major perpetual futures exchanges in one chart. It is designed for traders who want a broader perspective on buying and selling pressure without switching between multiple charts or relying on a single exchange feed. What It Does Combines volume delta data from Binance, Bybit, OKX, Bitget, and Coinbase into a unified representation. Displays CVD as candlesticks, where each candle reflects the open, high, low, and close of cumulative delta for the selected period. Offers a clear visual of how buying and selling pressure evolves across markets in a structured, familiar candle format. Key Features ✔ Exchange Aggregation: Incorporates data from several top futures markets available on TradingView. ✔ Anchor Reset: Allows you to set an anchor timeframe (e.g., daily) to reset cumulative values for better readability and analysis. ✔ Unit Normalization: Since exchanges report volumes in different units, the indicator normalizes all data and outputs values denominated in the base currency (coins) for consistency. ✔ Hidden OHLC Outputs: Provides open, high, low, and close values as hidden plots for use with other indicators or strategies. ✔ Lightweight Design: Optimized for efficiency while handling multiple real-time data requests. Why It’s Different Unlike standard single-exchange CVD tools, this indicator aggregates the majority of perpetual volume data available on TradingView, offering a more representative view of market sentiment. The candle-based representation of CVD introduces an additional layer of structure, helping traders identify shifts in momentum and pressure with more context than a simple cumulative line. Use Cases - Spotting aggregated buy/sell pressure trends across multiple exchanges. - Confirming breakout or reversal signals with broader volume delta context. - Serving as a custom data source for other indicators or algorithmic strategies.
Pine Script®指標
由mxdvt07提供