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Tenkan Higher Time Frame by TheSocialCryptoClubName: Tenkan HTF Category: Indicator. Timeframe: Any Timeframe Description: Tenkan Higher Timeframe allows to visualise the Tenkan for the Current timeframe and one at a higher timeframe. Suggested usage: Use on Daily to evaluate the Weekly Tenkan. Technical Details: When the Tenkan changes direction, it is evaluated if the change is due to the creation of new highs or new lows - so what happened in the last candle, a symptom of strength or weakness - or if the change is due to the fact that the "outgoing" candle had lows or highs that were no longer present in the Tenkan period. This indicator can also be used - by setting the appropriate period length - for the Kijun. Credits: - Technique has been explained by Corrado Rondelli.
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TheSocialCryptoClub의
2
Stage AnalysisThis indicator helps in identification of stage cycle of a stock. Only to be analysed on Weekly and Daily timeframe. Stages Stage 1 - Accumulation phase of a stock Stage 2 - Uptrend phase Stage 3 - Distribution phase Stage 4 - Downtrend As shown in the chart, each stock go through its stage cycle. Below points confirms the uptrend of a stock This will give idea of when to buy a stock Wait for first green label up bar to appear which is confirmation for stage 1 completion Another green label appears which will indicate stage 2 is starting Finally yellow label up appears which confirms the stage 2 uptrend Once the yellow bar appears, Wait for a base to be formed then go for buy. credits: Inspired from @BigBitsIO tutorials and @finallynitin
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EquityCraze의
12
Ichimoku Analysis Tool by TheSocialCryptoClubName: Ichimoku Analysis Tool Category: Indicator. Timeframe: Any Timeframe Description: Ichimoku Analysis Tool is an assistant for the trader to visualize the information that can be perceived at a glance from the Ichimoku Kinko Hyo indicator. Suggested usage: Use on Daily to evaluate the general long term, short term and mid term situation. Technical Details: Each cell of the table describes an element of the Ichimoku by simply assessing the direction of the lines - or whether they are flat - and how they are positioned with each other (e.g. Tenkan above or below the Kijun) and in general how long ago the last Kumo Twist was and the width in percent of the Kumo. Credits: - Some of the indications has been explained by Corrado Rondelli - Table has been inspired by tanayroy's ICHIMOKU Trading beta
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TheSocialCryptoClub의
4
lib_Indicators_DTLibrary "lib_Indicators_DT" This library functions returns some Moving averages and indicators. Created it to feed my indicator/strategy "INDICATOR & CONDITIONS COMBINATOR FRAMEWORK v1 " which I will publish it as soon as possible. Credits: Library includes some public indicators, snippets from tradingview & @03.freeman's ("All MAs displayed") scripts. (I hope, I dont break Tradingview's House Rules on Script Publishing) f_plotPrep(src_, src_, src_, src_) Prepare Indicator Plot Type   Parameters:      src_ : Source      src_ : plotingType_ "Original, Stochastic, Percent"      src_ : stochlen_ Stochasting plottingtype length      src_ : plotSWMA_ Use SWMA for the output   Returns: Return the prepared indicator f_funcPlot(string, float, simple, string, simple, bool) f_funcPlot(string f, float src_, simple int length_, string plotingType_ = "Original", simple int stochlen_=50, bool plotSWMA=false) Return selected indicator value with different parameters   Parameters:      string : f indicator-> options=      float : src_ close,open.....      simple : int length_ indicator length      string : plotingType return param-> options= ['Original', 'Stochastic', 'PercentRank')      simple : int stochlen_ length for return Param      bool : plotSWMA Use SWMA on Plot   Returns: float
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dturkuler의
SSL Hybrid StrategyStrategy based on the SSL Hybrid indicator by Mihkel00 Designed for the purpose of back testing Strategy: Enters both long and short trades based on SSL1 crossing the baseline Stop Loss calculated based on ATR multiplier Option to allow moving of Stop Loss to break even on TP1 Option to turn off Stop Loss and Take Profit which will rely on indicator flip to exit from position Take Profits configurable with up to 5 ATR multipliers and exits percentages (percentages calculated as percentages of original position size, eg. 100 tokens with 3 TPs of 20, 30, 50 would exit the same number of tokens on each TP) Credits: SSL Hybrid Mihkel00 www.tradingview.com
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kevinmck100의
11
+ BB %B: MA selection, bar coloring, multi-timeframe, and alerts+ %B is, at its simplest, the classic Bollinger Bands %B indicator with a few added bells and whistles. However, the right combination of bells and whistles will often improve and make a more adaptable indicator. Classically, Bollinger Bands %B is an indicator that measures volatility, and the momentum and strength of a trend, and/or price movements. It shows "overbought" and "oversold" spots on a chart, and is also useful for identifying divergences between price and trend (similar to RSI). With + %B I've added the options to select one or two moving averages, candle coloring, and a host of others. Let's start with the moving averages: There are options for two: one faster and one slower. Or combine them how you will, or omit one or both of them entirely. Here you will find options for SMA, EMA (as well as double and triple), Hull MA, Jurik MA, Least Squares MA, Triangular MA, Volatility Adjusted MA, and Weighted MA. A moving average essentially helps to define trend by smoothing the noise of movements of the underlying asset, or, in this case, the output of the indicator. All of these MAs available track this in a different way, and it's up to the trader to figure out which makes most sense to him/her. MA's, in my opinion, improve the basic %B by providing a clearer picture of what the indicator is actually "seeing", and may be useful for providing entries and exits. Next up is candle coloring: I've added the option for this indicator to color candles on the chart based on where the %B is in relation to its upper and lower bounds, and median line. If the %B is above the median but below the upper bound, candles will be green (showing bullish market structure). If %B is below the median but above the lower bound, candles will be red (denoting bearish market structure). Overbought and oversold candles will also be colored on the chart, so that a quick glance will tell you whether price action is bullish/bearish or "oversold"/"overbought". I've also added functionality that enables candles to be colored based on if the %B has crossed up or crossed down the primary moving average. One example as a way to potentially use these features is if the candles are showing oversold coloration followed by the %B crossing up your moving average coloration. You might consider a long there (or exit a short position if you are short). And the last couple of tweaks: You may set the timeframe to whatever you wish, so maybe you're trading on the hourly, but you want to know where the %B is on the 4h chart. You can do that. The background fill for the indicator is split into bullish and bearish halves. Obviously you may turn the background off, or make it all one color as well. I've also added alerts, so you may set alerts for "overbought" and "oversold" conditions. You may also set alerts for %B crossing over or under the primary moving average, or for crossing the median line. All of these things may be turned on and off. You can pretty much customize this to your heart's delight. I see no reason why anyone would use the standard %B after playing with this. I am no coder. I had this idea in my head, though, and I made it happen through referencing another indicator I was familiar with, and watching tutorials on YouTube. Credits: Firstly, thanks to www.tradingview.com for his brilliant, free tutorials on YouTube. Secondly, thanks to www.tradingview.com for his beautiful SSL Hybrid indicator (and his clean code) from which I obtained the MAs. Please enjoy this indicator, and I hope that it serves you well. :)
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ClassicScott의
13
[A618] Trend Tracker using Chandelier StopTrend Tacker Works on ATR concepts and uses "Chandelier Stop by pipCharlie" as its main engine How it is calculated > 2 ATR stop plots are plotted > #one ATR stop is of current time frame > other one is the 5 times multiple of the current timeframe > Their crossovers are analysed with the close of Current Timeframe > This sort of methodology can help one with generating consistent entry signals over a particular timeframe > My timeframe of choice is : 5 mins > I have used resolution of 25, for 5 mins (see 5*5 =25) Credits: Chandelier Stop by pipCharlie Hope this helps!!!
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Ankit_1618의
4
Statistical Histogram with configurable bins and Data WindowCreates a Histogram for Statistical Analysis of any source. Input Parameters: Sample Source: Select your source here, can be any numerical source. Sample Period: Sample size for Mean and Standard Deviation Calculations. Enable Cumulative Mode: Will attempt to calculate the bin for every sample in the entire dataset. Window Period: Used only in Window Mode (Enable Cumulative Mode unchecked), Calculates the bin for the past Window Period sample size. Bin Label Spacing: Adjust horizontal spacing of Bin Labels below the histogram for easier viewing. Center Bin: Selects the center Bin, usually set to (0 - Bin Width) < Sample <= 0 standard deviations or (z_score) Bin Width: Selects the Bin Width in standard deviations. How you can use it: View characteristics of dataset such as unimodal/bimodal and skewness to determine preferred statistical analysis. Additional Reference: en.wikipedia.org en.wikipedia.org Credits: Thanks goes out to www.tradingview.com , for cleaning up some of the code and www.tradingview.com for the original idea. Usage Tips: When adjusting the bin parameters, center bin and bin width, verify that the total sum of the bins (Sum Frequency in the Data Window) is close to the Total Samples. If your Sum Frequency is drastically lower it means you need to adjust your center bin and/or bin width to capture more of the data available.
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a.tesla2018의
14
Dickinson Moving Average (DMA)Implementation of the "Dickinson Moving Average" from the r/algotrading post by Nathan Dickinson Quoted from the author of the Dickinson Moving Average: "I was experimenting with the “zero lag” code from John Ehlers and the Hull Moving Average and noticed that they seemed to respond in complementary ways when properly set up. With the right starting values, they blend together to make a moving average which responds with one (or maybe even half a bar) of lag. To my eye, it looks to be almost as good as the Jurik Moving Average." Optional parameter input available to use Exponential Hull Moving Average (EHMA) instead of WMA for the Hull MA is available. Acknowledgements/Credits: Nathan Dickinson, Dickinson Moving Average @RicardoSantos, Function for Hull Moving Average Exponential Hull Moving Average sourced from: // Raudys, Aistis & Lenčiauskas, Vaidotas & Malčius, Edmundas. (2013). Moving Averages for Financial Data Smoothing. // Communications in Computer and Information Science. 403. 34-45. 10.1007/978-3-642-41947-8_4. @Everget, Jurik Moving Average
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auroagwei의
3
SN Smoothed Balance of Power v2Hi all, here is an updated version of the indicator script I published yesterday. The goal of this indicator is to try and find darkpool activity. The indicator itself is not enough to fully identify darkpool but it should be able to detect quiet accumulation. What makes this Balance of Power different from others on TV is that it is smoothed by using a moving average. Notes: - The values that are default are completely arbitrary except for the VWMA length (a 14-day period for the 1D chart is the norm). For instance the limit where it shows red/green I picked because it works best for the 1D chart I am using. Other TF's and charts will need tweaking of all the values you find in the options menu to get the best results. - I modified the indicator such that it is usable on charts that do not show volume. HOWEVER, this chart is default to NYMEX: CL1!. To get different volume data this needs to be changed in the option menu. - I am in no way an expert on darkpool/HFT trading and am merely going from the information I found on the internet. Consider this an experiment. Credits: - Lazybear for some of the plotting-code - Igor Livshin for the formula - TahaBintahir for the Symbol-code (although I'm not sure who the original author is...)
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SatNam의
4
GRaB Candles by mattlacoco with MMM by Harold_NL V1.1Update v1.1: GRaB colors now green, red, gray Added Murrey Range lines. Cleaned up the code. GRaB candles and a murrey math "midline" in one script. Some traders using methods of Rob Booker (40% club, trifecta5) like to use both GRaB candles and Murrey Math to combine, or to compare entry and exit moments. Color of candles are as GRaB candles. Midline use: Crossing the midline is a change of color in murrey. Candles closing above the midline would be green and below would be red as murrey candles. Credits: Original script of Raghee Horner's GRaB Candles by Matt Lacoco (BUY BLUE SELL RED). Murrey Math Midline added by Harold van Berk (most code copied from "UCS_Murrey's Math Oscillator_V2" by ucsgears) Candle colors defined by GRaB Green bulish, Red bearish, Gray neutral Dark for close lower than open Light for close higher than open Candles that close above the Murrey Math Middle line would normally be (murrey) green. Below would be (murrey) red. Murrey lines can be switched off in "format" of the indicator.
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Harold_NL의
3
GRaB Candles by mattlacoco with Murrey Math Midline(use V1.1 now See links below) GRaB candles and a murrey math "midline" in one script. Some traders using methods of Rob Booker (40% club, trifecta5) like to use both GRaB candles and Murrey Math to combine, or to compare entry and exit moments. Color of candles are as GRaB candles. Midline use: Crossing the midline is a change of color in murrey. Candles closing above the midline would be green and below would be red as murrey candles. Credits: Original script of Raghee Horner's GRaB Candles by Matt Lacoco (BUY BLUE SELL RED). Murrey Math Midline added by Harold van Berk (most code copied from "UCS_Murrey's Math Oscillator_V2" by ucsgears)
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Harold_NL의
[Bitcoin] Lastbattle's nose pickerI've been working on a top and bottom picker script over the past couple of weeks, based on RSI of multiple timeframe closing price. It've been a pretty good trading system that's tested over the last meteoric rise from 220~270 and back down to 230 right now, and I think it should be released to the community. Sure, I'm not worried about this strategy not working anymore after it is being used by the majority. Everyone have a different view of the market, and this is more towards psychology. It'll likely to hold for as long as there are still humans trading Bitcoins. Bitcoin market is full of emotions, you'll never run out of it. So why does it work? If you take a look at the live charts offered by Bitcoinwisdom and Cryptowatch, they only offer 1, 3, 5, and 15 minute timeframe by default with no other option to switch. Naturally more traders will look at these levels for oversold and overbought condition. The same indicator does not work for the broader commodities market such as Gold and Silver. How does it work? As long as the RSI levels of 1, 3, 5, and 15 minute fulfills the oversold/overbought level, a signal will be given. The overbought/oversold level gets compensated the higher volatility the market is in. Note: ** -This is only for exit strategy. If you're on long, consider reducing or exiting your position when it displays a red. On the other hand if you're short, consider reducing or covering your shorts if it shows a green. -It may give false signal in a trending market, use your trading experience and judgement to filter them out. (eg: uptrend usually have more than 1 legs AND after a long consolidation, RSI gets to oversold/overbought easily... the market will tend to test the support/resistance again.) -This is tuned for the 15m interval, the script won't work beyond this. I use it for scalping futures. Feel free to change or remove this line 'plot(interval == 15 and ' -Even if it shows a signal, it may not be the true top/bottom. Sometimes there may be a weak diverged leg aka 'last fart', so that's one reason I dont use this for entry until more confirmation is given via other indicators. ** If your chart is zooming all the way down to 0, right click on the price at the right and select 'Scale price only' Go ahead and try this out with willy, etc and see what works better :D Credits: -LazyBear for the volatility switcher script
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LastBattle의
7
Chimpanzee V2.5 part A by joylay83Hi everyone, I am an amateur pinecoder. I would like to share my script which is coded with the intention of generating signals to send to 3commas webhook. It is still in development and revision. This collection of indicators use: Chart: 15m. Inverse Fisher Transformation of the RSI to detect dips in the 15m timeframe. Bollinger band (4H) to filter out false signals. Triple EMA 21: to mimic price action for easier coding alerts. Currently not involved in generating signals. will be incorporated in the future. StochRSI: As a visual filter. Currently not involved in generating signals. will be incorporated in the future. Background will be green if stochRSI is low and red if stockRSI is high. Candlesticks will be marked with a flag is TEMA breached BB. One would need to play around with timeframes, BB settings and IFTRSI threshold for different signals. There are 2 Signal Modes (with regards to IFTRSI): Threshold: When price action falls below BB and IFTRSI hits buy threshold, a buy/sell signal is generated. Eg if IFTRSI buy threshold is set to -0.9, the buy signal will remain continuously positive as long as IFTRSI is < 0.9. Cross: When price action falls below BB and IFTRSI hits threshold, nothing happens. It will wait until the IFTRSI cross back over the threshold before firing a signal. There is another identical set of indicators running on a higher time frame (IFTRSI: 4H, BB: D or 3D, TEMA 21 4H) but on the same chart. This tend to generate less signals but are more reliable. A usage example would be to send a larger buy order if the signal comes from this higher time frame, or execute a sell order after multiple buys from the lower time frame. It comes in 2 parts: Part A: Contains overlay display. This displays BB, Triple EMA, buy/sell and StochRSI in labels. the labels are self explanatory. Part B (please search for it): which is actually the same code but contain non-overlay display. You may also put part B overlay=true but scale to LEFT. The advantage of using overlay=true is that you can move the signal right over the candlesticks (mainly for troubleshooting/debugging). This part contains Inverse Fisher RSI, %B, Signal Line. %B is supposedly idential to Bollinger Bands in Part A. By default, when there is a buy/sell signal: lower time frame 15m: Signal Line in Part B will turn blue with a value 1 or -1 which corresponds to a buy or sell label in Part A higher time frame 4H: Signal Line in Part B will turn red with a value 2 or -2 which corresponds to a HTF buy or sell label in Part A Part A or B may be used to send signal to the webhook. You have to make sure that the settings of Part A and B are identical. You may choose to un-display some items to reduce clutter. Current problems: 1. Still too many buy signals Although many times it will generate excellent buy signal at many swing lows, but there are many buy signals prior to a major swing low. This can be observed in the picture above. It also generate a couple of buy signals prior to the swing lows. I am currently experimenting with 20m and hourly timeframe to address this issue. More filters are needed eg an oscillator or detecting candlestick patterns. 2. Premature sell signals. The sell signal is often generated at the beginning of a major bull run. My idea to solve this problem is to move to a higher timeframe and sell only when TEMA crossunder the upper bollinger band. 3. Lack of a backtester that can test multiple concurrent deals. Buy -> Buy (average down) -> Buy (average down) -> Buy (average down) -> Sell 4. Lack of the ability to calculate average purchase price Probably have to code it as a strategy 5. Display lag As the browser is running 2 copies of the idential script, it tends to lag when you drag your chart around. So far there are no timeouts or delay in firing alerts to 3commas. I do welcome any suggestion for improvement and constructive criticism. tqvm. Credits : Thank you for doing an awesome job. I learnt a lot from your codes and tutorials. Credits not listed in any order. If your code is used here and did not receive due credit, kindly drop me a note. tq. Blessing 3 by JTA Today @ZenAndTheArtOfTrading (extremely-easy-to-understand tutorials eg fixing repainting) @LazyBear (various codes) @Galactus-B Argo I @TheTradingParrot (Inverse Fisher RSI and Gavin's backtester) @zendog123 (backtester and various codes) @ydeniz2000 (Bollinger Bands) TradingView built-in scripts
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joylay83의
4
Market Structure (Nephew_Sam_)This indicator consists of 3 features: 1. Plots label to the right for current market structure 2. Plots dashed line to show where the next market structure would be 3. Draws arrows above/below historical market structure breaks This might get a little to noisy in ranging markets or lower timeframes but it does the job. Credits to @SimpleCryptoLife for the source code. This script is take from the indicator "True Market Structure" which is created by the above mentioned user Copyright rules for reusing the script: // == COPYRIGHT == // Script by @SimpleCrpytoLife. This script is open-source. // --> If you use ideas from it, you don't need to ask or give credit to me. // --> If you copy code out of here to adapt for your own script, it must be open-source. You don't need to ask permission, just credit @SimpleCryptoLife.
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nephew_sam_의
18
Market structure + TF Bucket Market Structure + TF Bucket This Pine Script™ indicator, published under the Mozilla Public License 2.0, extends the "Market Structure" script by mickes (), with full credit to mickes. It integrates the enhanced MarketStructure library by Fenomentn (), also based on mickes’ library under MPL 2.0, to provide advanced market structure analysis with multi-timeframe pivot length customization. Functionality Market Structure Analysis: Detects internal (orderflow) and swing market structures, visualizing Break of Structure (BOS), Change of Character (CHoCH), Equal High/Low (EQH/EQL), and liquidity zones using the MarketStructure library. Timeframe Bucket (TF Bucket): Dynamically adjusts pivot lengths for six user-defined timeframes (e.g., 3m, 5m, 10m, 15m, 4h, 12h), optimizing structure detection across different chart timeframes. Trend Strength Visualization: Displays a trend strength metric (from the library) for internal and swing structures, indicating trend reliability based on pivot frequency and volatility. Statistics Table: Shows yearly counts of BOS and CHoCH events for internal and swing structures, configurable by a user-defined period. Screener Support: Outputs BOS and CHoCH signals for TradingView’s screener, with a configurable signal persistence period. Customizable Alerts: Enables alerts for BOS and CHoCH events, separately configurable for internal and swing structures. Methodology Pivot Detection: Uses the library’s Pivot function, which applies a volatility filter (ATR-based) to confirm significant pivots, reducing false signals in low-volatility markets. TF Bucket: Maps user-selected timeframes to Pine Script’s timeframe.period using f_getTimeframePeriod, applying custom pivot lengths when the chart’s timeframe matches a selected one (or base lengths in Static mode). Trend Strength: Calculates a score as pivotCount / LeftLength * (currentATR / ATR), displayed via labels to help traders assess trend reliability. BOS/CHoCH Detection: Identifies BOS when price breaks a pivot in the trend direction and CHoCH when price reverses against the trend, labeling events as “MSF” or “MSF+” based on pivot patterns. EQH/EQL and Liquidity: Draws boxes for equal high/low zones within ATR-based thresholds and visualizes liquidity levels with confirmation bars. Statistics and Screener: Tracks BOS/CHoCH events in a yearly table and outputs signals for screener use, with persistence controlled by a user-defined period. Usage Integration: Apply the indicator to any chart and import the library via import Fenomentn/MarketStructure/1. Configuration: Set up to six timeframes with custom pivot lengths, enable/disable internal and swing structures, configure alerts, and adjust statistics years in the settings panel. Alerts: Enable BOS and CHoCH alerts for real-time notifications, triggered on bar close to avoid repainting. Screener: Use the plotted signals to monitor BOS/CHoCH events across multiple tickers in TradingView’s screener. Best Practices: Optimal for forex and crypto charts on 1m to 12h timeframes. Adjust pivot lengths and the library’s volatility threshold for specific market conditions. Originality This indicator enhances mickes’ original script with: Timeframe Bucket: Dynamic pivot length selection for multi-timeframe analysis, not present in the original. Trend Strength Display: Visualizes the library’s TrendStrength metric for enhanced trend analysis. Enhanced Library Integration: Leverages Fenomentn/MarketStructure/1, which adds a volatility-based pivot filter, dynamic label sizing, and customizable BOS/CHoCH visualization styles.No additional open-source code was reused beyond mickes’ script and library, fully credited under MPL 2.0.
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Fenomentn의
Trend Strength Index - ZTFThis is a modification of TradingView's default Trend Strength Index indicator. The Trend Strength Index measures the tendency of a symbol to either trend steadily or to revert to its mean. The core idea behind TSI is that the more momentum a symbol has relative to its volatility, the more likely it is to follow a trend and less likely to revert to its mean. This indicator analyzes price momentum using the Pearson correlation coefficient, a normalized measure of the linear relationship between time series. Its output shows the correlation between the chart's closing prices and bar index values over a defined number of bars. A value near +1 shows that prices experienced relatively steady increases across successive bars, indicating high upward trend strength A value near -1 shows that prices experienced relatively steady decreases across successive bars, indicating high downward trend strength A value near 0 suggests a lack of trend strength, because prices did not demonstrate a steady positive or negative relationship with the bar index ZTF Modification: Added a green background highlight that appears when TSI reaches 0.90 or above, providing a visual alert for extremely strong bullish trend conditions. Credit: Based on TradingView's default Trend Strength Index indicator.
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zerotofunded의
Info TableOverview The Info Table V1 is a versatile TradingView indicator tailored for intraday futures traders, particularly those focusing on MESM2 (Micro E-mini S&P 500 futures) on 1-minute charts. It presents essential market insights through two customizable tables: the Main Table for predictive and macro metrics, and the New Metrics Table for momentum and volatility indicators. Designed for high-activity sessions like 9:30 AM–11:00 AM CDT, this tool helps traders assess price alignment, sentiment, and risk in real-time. Metrics update dynamically (except weekly COT data), with optional alerts for key conditions like volatility spikes or momentum shifts. This indicator builds on foundational concepts like linear regression for predictions and adapts open-source elements for enhanced functionality. Gradient code is adapted from TradingView's Color Library. QQE logic is adapted from LuxAlgo's QQE Weighted Oscillator, licensed under CC BY-NC-SA 4.0. The script is released under the Mozilla Public License 2.0. Key Features Two Customizable Tables: Positioned independently (e.g., top-right for Main, bottom-right for New Metrics) with toggle options to show/hide for a clutter-free chart. Gradient Coloring: User-defined high/low colors (default green/red) for quick visual interpretation of extremes, such as overbought/oversold or high volatility. Arrows for Directional Bias: In the New Metrics Table, up (↑) or down (↓) arrows appear in value cells based on metric thresholds (top/bottom 25% of range), indicating bullish/high or bearish/low conditions. Consensus Highlighting: The New Metrics Table's title cells ("Metric" and "Value") turn green if all arrows are ↑ (strong bullish consensus), red if all are ↓ (strong bearish consensus), or gray otherwise. Predicted Price Plot: Optional line (default blue) overlaying the ML-predicted price for visual comparison with actual price action. Alerts: Notifications for high/low Frahm Volatility (≥8 or ≤3) and QQE Bias crosses (bullish/bearish momentum shifts). Main Table Metrics This table focuses on predictive, positional, and macro insights: ML-Predicted Price: A linear regression forecast using normalized price, volume, and RSI over a customizable lookback (default 500 bars). Gradient scales from low (red) to high (green) relative to the current price ± threshold (default 100 points). Deviation %: Percentage difference between current price and predicted price. Gradient highlights extremes (±0.5% default threshold), signaling potential overextensions. VWAP Deviation %: Percentage difference from Volume Weighted Average Price (VWAP). Gradient indicates if price is above (green) or below (red) fair value (±0.5% default). FRED UNRATE % Change: Percentage change in U.S. unemployment rate (via FRED data). Cell turns red for increases (economic weakness), green for decreases (strength), gray if zero or disabled. Open Interest: Total open MESM2 futures contracts. Gradient scales from low (red) to high (green) up to a hardcoded 300,000 threshold, reflecting market participation. COT Commercial Long/Short: Weekly Commitment of Traders data for commercial positions. Long cell green if longs > shorts (bullish institutional sentiment); Short cell red if shorts > longs (bearish); gray otherwise. New Metrics Table Metrics This table emphasizes technical momentum and volatility, with arrows for quick bias assessment: QQE Bias: Smoothed RSI vs. trailing stop (default length 14, factor 4.236, smooth 5). Green for bullish (RSI > stop, ↑ arrow), red for bearish (RSI < stop, ↓ arrow), gray for neutral. RSI: Relative Strength Index (default period 14). Gradient from oversold (red, <30 + threshold offset, ↓ arrow if ≤40) to overbought (green, >70 - offset, ↑ arrow if ≥60). ATR Volatility: Score (1–20) based on Average True Range (default period 14, lookback 50). High scores (green, ↑ if ≥15) signal swings; low (red, ↓ if ≤5) indicate calm. ADX Trend: Average Directional Index (default period 14). Gradient from weak (red, ↓ if ≤0.25×25 threshold) to strong trends (green, ↑ if ≥0.75×25). Volume Momentum: Score (1–20) comparing current to historical volume (lookback 50). High (green, ↑ if ≥15) suggests pressure; low (red, ↓ if ≤5) implies weakness. Frahm Volatility: Score (1–20) from true range over a window (default 24 hours, multiplier 9). Dynamic gradient (green/red/yellow); ↑ if ≥7.5, ↓ if ≤2.5. Frahm Avg Candle (Ticks): Average candle size in ticks over the window. Blue gradient (or dynamic green/red/yellow); ↑ if ≥0.75 percentile, ↓ if ≤0.25. Arrows trigger on metric-specific logic (e.g., RSI ≥60 for ↑), providing directional cues without strict color ties. Customization Options Adapt the indicator to your strategy: ML Inputs: Lookback (10–5000 bars) and RSI period (2+) for prediction sensitivity—shorter for volatility, longer for trends. Timeframes: Individual per metric (e.g., 1H for QQE Bias to match higher frames; blank for chart timeframe). Thresholds: Adjust gradients and arrows (e.g., Deviation 0.1–5%, ADX 0–100, RSI overbought/oversold). QQE Settings: Length, factor, and smooth for fine-tuned momentum. Data Toggles: Enable/disable FRED, Open Interest, COT for focus (e.g., disable macro for pure intraday). Frahm Options: Window hours (1+), scale multiplier (1–10), dynamic colors for avg candle. Plot/Table: Line color, positions, gradients, and visibility. Ideal Use Case Perfect for MESM2 scalpers and trend traders. Use the Main Table for entry confirmation via predicted deviations and institutional positioning. Leverage the New Metrics Table arrows for short-term signals—enter bullish on green consensus (all ↑), avoid chop on low volatility. Set alerts to catch shifts without constant monitoring. Why It's Valuable Info Table V1 consolidates diverse metrics into actionable visuals, answering critical questions: Is price mispriced? Is momentum aligning? Is volatility manageable? With real-time updates, consensus highlights, and extensive customization, it enhances precision in fast markets, reducing guesswork for confident trades. Note: Optimized for futures; some metrics (OI, COT) unavailable on non-futures symbols. Test on demo accounts. No financial advice—use at your own risk. The provided script reuses open-source elements from TradingView's Color Library and LuxAlgo's QQE Weighted Oscillator, as noted in the script comments and description. Credits are appropriately given in both the description and code comments, satisfying the requirement for attribution. Regarding significant improvements and proportion: The QQE logic comprises approximately 15 lines of code in a script exceeding 400 lines, representing a small proportion (<5%). Adaptations include integration with multi-timeframe support via request.security, user-customizable inputs for length, factor, and smooth, and application within a broader table-based indicator for momentum bias display (with color gradients, arrows, and alerts). This extends the original QQE beyond standalone oscillator use, incorporating it as one of seven metrics in the New Metrics Table for confluence analysis (e.g., consensus highlighting when all metrics align). These are functional enhancements, not mere stylistic or variable changes. The Color Library usage is via official import (import TradingView/Color/1 as Color), leveraging built-in gradient functions without copying code, and applied to enhance visual interpretation across multiple metrics. The script complies with the rules: reused code is minimal, significantly improved through integration and expansion, and properly credited. It qualifies for open-source publication under the Mozilla Public License 2.0, as stated.
Pine Script® 인디케이터
charleyRT의
Crypto Cycle Projection📈 Crypto Cycle Projection – Indicator Description This indicator is designed to visually track and forecast repeating price cycles in the crypto market. It highlights a defined time-based cycle starting from a chosen date or the latest bar on the chart. By identifying cycle Start, Midpoint, and End zones, traders can gain insights into timing-based market structure and possible pivot periods. ⚙️ User Settings Explained Start Point Start from Last Candle (useLastCandle) – When enabled, the cycle begins from the most recent candle on the chart. Manual Date (Year / Month / Day) – If Start from Last Candle is disabled, you can manually set a specific start date for the cycle. Display Options - Show Projection (showZone) – Toggles the display of the main cycle projection. - Show Outer Bars (showOuter) – Adds faded edge bars around the key cycle zones for better visual emphasis. - Show Previous Cycle (showPreviousCycle) – Adds the prior cycle to the chart, going one full cycle period back from the main start point. Show Next Cycle (showNextCycle) – Projects one additional cycle forward beyond the current. Cycle Parameters Cycle Period (cyclePeriod) – Defines the number of bars in a full cycle (e.g., 60 = 60 bars). This sets the spacing between Start → Midpoint → End. Each cycle section is color-coded: Start = White Midpoint = Yellow End = Green These reference lines and zones help you align trades with cycle timing for potential reversals, continuations, or volatility expansions. Co-author Credit: Matthew Hyland @ParabolicMatt
Pine Script® 인디케이터
KevinSvenson_의
1