RAHA Indicator📈 RAHA Indicator
Roni's Adjusted Hybrid Average
The indicator developed by Aaron Roni Pesach combines an innovative RAHA average - an adjusted hybrid average with smart trend analysis, using additional oscillators in a sophisticated way.
LONG and SHORT signals are given only when:
✅ Technical conditions confirm
✅ And the long-term trend is consistent
RAHA Indicator helps traders identify entry points while filtering out noise and market anomalies.
📈 RAHA Indicator
Roni's Adjusted Hybrid Average
האינדיקטור שפותח על ידי אהרון רוני פסח משלב ממוצע חדשני מסוג RAHA - ממוצע היברידי מתואם עם ניתוח מגמה חכם, באמצעות שימוש במתנדים נוספים באופן מתוחכם.
איתותי LONG ו‑SHORT ניתנים רק כאשר:
✅ התנאים הטכניים מאשרים
✅ והמגמה בטווח ארוך תואמת
RAHA Indicator מסייע לסוחרים לזהות נקודות כניסה תוך סינון רעשים וחריגות שוק.
Oscillators
RAHA Indicator📈 RAHA Indicator
Roni's Adjusted Hybrid Average
The indicator developed by Aaron Roni Pesach combines an innovative RAHA average - an adjusted hybrid average with smart trend analysis, using additional oscillators in a sophisticated way.
LONG and SHORT signals are given only when:
✅ Technical conditions confirm
✅ And the long-term trend is consistent
RAHA Indicator helps traders identify entry points while filtering out noise and market anomalies.
📈 RAHA Indicator
Roni's Adjusted Hybrid Average
האינדיקטור שפותח על ידי אהרון רוני פסח משלב ממוצע חדשני מסוג RAHA - ממוצע היברידי מתואם עם ניתוח מגמה חכם, באמצעות שימוש במתנדים נוספים באופן מתוחכם.
איתותי LONG ו‑SHORT ניתנים רק כאשר:
✅ התנאים הטכניים מאשרים
✅ והמגמה בטווח ארוך תואמת
RAHA Indicator מסייע לסוחרים לזהות נקודות כניסה תוך סינון רעשים וחריגות שוק.
Charts Algo Signature Stamp 🖋️
📌 Charts Algo Signature Stamp 🖋️
An elegant and professional chart signature tool to brand your trading ideas, track chart context, and add motivational affirmations to your work.
🔍 What It Does
The Signature Stamp displays a clean, customizable branding box on your chart that includes:
A Main Title (e.g., brand name or username)
A Subtitle (e.g., your trading mantra or values)
The current symbol + timeframe (optional)
The current date (optional)
This creates a polished, professional visual signature—great for screenshots, social sharing, educational content, or simply marking your charts with intention.
⚙️ How to Use It
Once added to your TradingView chart:
Customize Your Stamp:
Go to the indicator’s settings panel.
Under Main Title, enter your brand (e.g., Charts Algo, Trading by Charts Algo 📈).
Under Subtitle, input a personal mantra or values like:
PATIENCE | DISCIPLINE | FEARLESS
(You can change this anytime — see suggestions below.)
Optional Toggles:
Show Symbol – display the ticker symbol and timeframe.
Show Date – include the current date in DD/MM/YYYY format.
Position Settings:
Choose from 9 positions on the screen:
Top Left, Top Center, Top Right
Middle Left, Center, Middle Right
Bottom Left, Bottom Center, Bottom Right
Style Settings:
Set background color (e.g., transparent or muted).
Choose text colors for title, subtitle, and info text.
Adjust font sizes (tiny → huge) for visual hierarchy.
🖋️ Stamp Ideas
Here are some great 5-word signature ideas for your subtitle:
SCAN | PLAN | EXECUTE | DOMINATE | WIN
PATIENCE | DISCIPLINE | FEARLESS | CONTROL | EDGE
MINDSET | STRATEGY | SETUPS | RISK | PROFIT
SMC | FVG | OTE | CE | FLOW
OBSERVE | LEARN | TRADE | IMPROVE | MASTER
Pick the one that best reflects your trading style and mission—or create your own.
✅ Best Uses
Personal branding for social media posts
Visual signature for shared trading ideas
Motivational reminders on your chart
Identifying context (symbol + date) in screenshots
⚠️ Disclaimer
This visual stamp is for branding and educational display only. It does not provide trading signals or financial advice.
Charts Algo and its tools are intended to support analysis, not replace your judgment or due diligence. Always trade responsibly.
Doji Ashi v2.0 (with SL & TP levels)This is a version of @SassyStonks Doji Ashi v2.0 that includes ATR based SL levels with adjustable R:R TP levels.
What is Doji Ashi v2.0?
This indicator is designed for short-term intraday momentum trading, offering Buy and Sell signals based on a refined combination of filters including:
Trend alignment with daily SMAs
Momentum confirmation using EMA 3/8 cross
Relative volume to identify activity spikes
VWAP positioning to confirm trend consistency
Time filters to avoid unreliable early market chop
It adapts dynamically depending on whether you’re trading Stocks or Crypto, with appropriate filters toggled automatically.
...
How the Script Works
Core Logic:
A Buy signal appears when:
The price is in an uptrend (via SMAs)
VWAP and volume confirm momentum
EMA 3 crosses above EMA 8
Relative strength is strong (if enabled)
Market opens past first 30 mins
A Sell signal appears when:
The asset shows weakness across these same filters, in reverse
You’ll see green “BUY” or red “SELL” markers on your chart instantly when the full condition set is met. This script does not repaint.
Entry Logic Options:
Choose between:
"Cross" mode: Signals appear on 3/8 EMA crossover
"Above/Below" mode: Persistent signal while 3 EMA stays above/below 8 EMA
...
Strategy for Consistent Gains
This script works best on liquid stocks such as LUNR, ASTS and PLUG. It also works with Crypto. Make sure you choose the correct indicator setup type (Stocks or Crypto) in the setting before testing.
If you don't see any signals the default settings may be too strict for your chosen stock. Have a play with the settings to find the right balance for you. The default settings follow the strategy below for what I believe are currently the best results.
Alerts for buy/sell signals can be set from the alerts menu. For best results, make sure you set the alert to action on close of bar.
This indicator is most effective when:
Used with liquid stocks or crypto
Entries are confirmed with VWAP, not counter-trend
Signals are filtered by volume spikes and trend direction
Example strategy:
Buy a Call when you see a BUY signal with high volume, in an uptrend
Exit on a cross back to VWAP (the orange line) or a quick 1% profit
Do the opposite with PUTs on a SELL signal
This is ideal for quick day trades (scalps or trend moves), and avoids the choppy, uncertain zones at market open.
...
Optimizing via Settings
There are additional, stricter filters in the settings. Please adapt to your preference.
Presets:
Stocks (Default): Applies all filters but lets you disable them as needed
Crypto: Disables stock-specific filters (SPY comparison, RS, Daily trend)
Filters:
Daily Trend Filter: Helps align trades with higher timeframe direction (recommended ON for stocks)
Market Trend & RS: Filters based on SPY and relative performance (test enabling for SPY-following tickers)
VWAP Entry Filter: Keeps you from fighting the dominant intraday trend
Ignore First 30 Minutes: Avoids false signals at the open
Experiment with toggling filters ON/OFF to match your asset class and volatility conditions.
...
Finally
The best way to master this indicator is to understand the trading mindset it came from.
Read The Damn Wiki — it’s free, comprehensive, and packed with wisdom that this script distills into a usable tool.
If you would like to adapt this indicator you are very welcome to do so. All I ask in return is that you share your findings with the wider community.
...
Happy trading. May your entries be sharp and your exits cleaner.
~ @SassyStonks
Oscillator SignalsOscillator Signals – Smart Trading with RSI & Stochastic
Stop waiting for false reversals—trade the confirmed moves!
Developed by Marcelo Ulisses Sobreiro Ribeiro
Many traders struggle with the Stochastic Oscillator because it can linger in overbought (OB) or oversold (OS) zones for long periods, leading to premature entries. This script solves that problem by only triggering signals when Stochastic exits these zones, combined with RSI crossovers for higher-confidence trades.
🔹 Key Features:
✅ No More False Alerts – Avoids signals inside OB/OS zones—waits for Stochastic to exit (confirming momentum shift).
✅ RSI + Moving Average Crossovers – Adds a second layer of confirmation when RSI crosses its moving average.
✅ Combined Alerts – Strongest signals occur when:
Stochastic exits oversold (OS) and RSI crosses above its MA (▲ Bullish).
Stochastic exits overbought (OB) and RSI crosses below its MA (▼ Bearish).
✅ Fully Customizable – Adjust lengths, OB/OS levels, and toggle signals.
✅ Built-in Alerts – Never miss a setup.
🔹 Why It Works Better:
Traditional Stochastic signals often fail because price can stay stuck in OB/OS for extended periods. This script ignores entries inside the zones and only acts when:
Stochastic leaves OS (crosses above 20) + RSI confirms uptrend.
Stochastic leaves OB (crosses below 80) + RSI confirms downtrend.
Filters out weak reversals, focusing on high-probability breakouts.
🔹 Ideal For:
Traders tired of "whipsaws" from premature OB/OS entries.
Swing traders seeking confirmed reversals.
Combining with support/resistance for precision.
📌 Pro Tip: Pair this with price action (e.g., breakouts from key levels) for even stronger signals!
Try it now—trade less, profit more! 🚀
Key Improvements:
Problem-Solution Framework: Directly addresses the "Stochastic lingering" issue upfront.
Stronger Emphasis on Confirmation: Highlights how the script waits for OB/OS exits to avoid fakeouts.
Clearer Value Proposition: Positions the script as a filter for higher-quality signals.
SG Multi Entry/Exit IndicatorThis strategy is based on an entry and an exit indicator that can be selected from a range of indicators.
The entry / exit indicators are standard Stochastic, MACD, RSI and MA indicators.
The graphs for each indicator are normalised to between 0 and 100 and displayed on above the other with buy and sell indicators.
The Strategy can be enabled / disabled via the inputs as can the date range as can whether to put a dummy sell signal in for the last trading day to give an accurate Mark to Market performance.
Advanced TrackingAdvanced Multi-Asset Tracker Indicator
Track trading opportunities across multiple instruments with multiple analysis methods
Developed by Marcelo Ulisses Sobreiro Ribeiro
Key Features:
1️⃣ Multi-Mode Tracking System
Pattern Mode: Detects 5 powerful price patterns (123, Market Strength, Engulfing, PFR, Inside Bar)
Stochastic Crossover: Identifies fresh crossovers for potential entries
3-Candle Pattern: Finds classic high/low patterns across 3 candles
Oscillator Mode: Monitors overbought/oversold conditions (RSI + Stochastic)
2️⃣ Customizable Asset Groups
Pre-loaded with 3 optimized asset tables (Majors, Crosses, Commodities/Indices)
Easily switch between groups with one click
3️⃣ Dual Timeframe Analysis
Separate timeframes for pattern detection and oscillator analysis
Detects higher timeframe conditions while trading on lower timeframes
4️⃣ Visual Alert System
Color-coded signals for instant pattern recognition
Clear priority system for pattern hierarchy
Pattern Detection Includes:
✔ Mark Crisp 123 Pattern (bullish/bearish)
✔ Market Strength Signals (FMA/FMB)
✔ Engulfing Patterns (EA/EB)
✔ Price of Reversal Close (PFR)
✔ Inside Bar (IB)
Oscillator Analysis:
Customizable RSI (14 period default)
Adjustable Stochastic (14,3,3 default)
Strong OB/OS alerts when both indicators align
Ideal For:
Forex traders monitoring multiple currency pairs
Multi-asset traders covering commodities and indices
Traders who want to scan for setups without watching dozens of charts
Systematic traders looking for pattern-based opportunities
How It Works:
Select your preferred asset group
Choose your analysis mode (Patterns, Stoch Cross, etc.)
Customize settings as needed
The indicator scans all selected assets and displays signals in an easy-to-read table
Pro Tip: Combine with your favorite entry/exit strategy - this indicator excels at opportunity detection across markets!
Position Trading Strategy - EMA + FVGMulti-Timeframe Momentum & Pattern Recognition System
This comprehensive trading indicator combines multiple technical analysis components to identify high-probability entry and exit signals for Bitcoin and other assets. The system utilizes:
LuxAlgo Fair Value Gap Detection - Identifies institutional order flow imbalances
Hull Suite & MACD Integration - Confirms trend direction and momentum shifts
Pyramid Scoring System - Ranks signal strength using multiple confluences
Smart Position Management - Provides clear long/short entry and exit alerts
Visual Market Structure - Displays key support/resistance levels and gap zones
The indicator generates scored signals based on the alignment of trend, momentum, and market structure, helping traders identify optimal entry points while managing risk through systematic exit conditions. Perfect for swing trading and scalping strategies on multiple timeframes.
Best Used For: BTC/USD, major forex pairs, and liquid cryptocurrency markets
Recommended Timeframes: 5M, 15M, 1H for optimal signal accuracy
Uptrick: Universal Z-Score ValuationOverview
The Uptrick: Universal Z-Score Valuation is a tool designed to help traders spot when the market might be overreacting—whether that’s on the upside or the downside. It does this by combining the Z-scores of multiple key indicators into a single average, letting you see how far the current market conditions have stretched away from “normal.” This average is shown as a smooth line, supported by color-coded visuals, signal markers, optional background highlights, and a live breakdown table that shows the contribution of each indicator in real time. The focus here is on spotting potential reversals, not following trends. The indicator works well across all timeframes and asset classes, from fast intraday charts like the 1-minute and 5-minute, to higher timeframes such as the 4-hour, daily, or even weekly. Its universal design makes it suitable for any market — whether you're trading crypto, stocks, forex, or commodities.
Introduction
To understand what this indicator does, let’s start with the idea of a Z-score. In simple terms, a Z-score tells you how far a number is from the average of its recent history, measured in standard deviations. If the price of an asset is two standard deviations above its mean, that means it’s statistically “rare” or extended. That doesn’t guarantee a reversal—but it suggests the move is unusual enough to pay attention.
This concept isn’t new, but what this indicator does differently is apply the Z-score to a wide set of market signals—not just price. It looks at momentum, volatility, volume, risk-adjusted performance, and even institutional price baselines. Each of those indicators is normalized using Z-scores, and then they’re combined into one average. This gives you a single, easy-to-read line that summarizes whether the entire market is behaving abnormally. Instead of reacting to one indicator, you’re reacting to a statistically balanced blend.
Purpose
The goal of this script is to catch turning points—places where the market may be topping out or bottoming after becoming overstretched. It’s built for traders who want to fade sharp moves rather than follow trends. Think of moments when price explodes upward and starts pulling away from every moving average, volume spikes, volatility rises, and RSI shoots up. This tool is meant to spot those situations—not just when price is stretched, but when multiple different indicators agree that something is overdone.
Originality and Uniqueness
Most indicators that use Z-scores only apply them to one thing—price, RSI, or maybe Bollinger Bands. This one is different because it treats each indicator as a contributor to the full picture. You decide which ones to include, and the script averages them out. This makes the tool flexible but also deeply informative.
It doesn’t rely on complex or hidden math. It uses basic Z-score formulas, applies them to well-known indicators, and shows you the result. What makes it unique is the way it brings those signals together—statistically, visually, and interactively—so you can see what’s happening in the moment with full transparency. It’s not trying to be flashy or predictive. It’s just showing you when things have gone too far, too fast.
Inputs and Parameters
This indicator includes a wide range of configurable inputs, allowing users to customize which components are included in the Z-score average, how each indicator is calculated, and how results are displayed visually. Below is a detailed explanation of each input:
General Settings
Z-Score Lookback (default: 100): Number of bars used to calculate the mean and standard deviation for Z-score normalization. Larger values smooth the Z-scores; smaller values make them more reactive.
Bar Color Mode (default: None): Determines how bars are visually colored. Options include: None: No candle coloring applied. - Heat: Smooth gradient based on the Z-score value. - Latest Signal: Applies a solid color based on the most recent buy or sell signal
Boolean - General
Plot Universal Valuation Line (default: true): If enabled, plots the average Z-score (zAvg) line in the separate pane.
Show Signals (default: true): Displays labels ("𝓤𝓹" for buy, "𝓓𝓸𝔀𝓷" for sell) when zAvg crosses above or below user-defined thresholds.
Show Z-Score Table (default: true): Displays a live table listing each enabled indicator's Z-score and the current average.
Select Indicators
These toggles enable or disable each indicator from contributing to the Z-score average:
Use VWAP Z-Score (default: true)
Use Sortino Z-Score (default: true)
Use ROC Z-Score (default: true)
Use Price Z-Score (default: true)
Use MACD Histogram Z-Score (default: false)
Use Bollinger %B Z-Score (default: false)
Use Stochastic K Z-Score (default: false)
Use Volume Z-Score (default: false)
Use ATR Z-Score (default: false)
Use RSI Z-Score (default: false)
Use Omega Z-Score (default: true)
Use Sharpe Z-Score (default: true)
Only enabled indicators are included in the average. This modular design allows traders to tailor the signal mix to their preferences.
Indicator Lengths
These inputs control how each individual indicator is calculated:
MACD Fast Length (default: 12)
MACD Slow Length (default: 26)
MACD Signal Length (default: 9)
Bollinger Basis Length (default: 20): Used to compute the Bollinger %B.
Bollinger Deviation Multiplier (default: 2.0): Standard deviation multiplier for the Bollinger Band calculation.
Stochastic Length (default: 14)
ATR Length (default: 14)
RSI Length (default: 14)
ROC Length (default: 10)
Zones
These thresholds define key signal levels for the Z-score average:
Neutral Line Level (default: 0): Baseline for the average Z-score.
Bullish Zone Level (default: -1): Optional intermediate zone suggesting early bullish conditions.
Bearish Zone Level (default: 1): Optional intermediate zone suggesting early bearish conditions.
Z = +2 Line Level (default: 2): Primary threshold for bearish signals.
Z = +3 Line Level (default: 3): Extreme bearish warning level.
Z = -2 Line Level (default: -2): Primary threshold for bullish signals.
Z = -3 Line Level (default: -3): Extreme bullish warning level.
These zone levels are used to generate signals, fill background shading, and draw horizontal lines for visual reference.
Why These Indicators Were Merged
Each indicator in this script was chosen for a specific reason. They all measure something different but complementary.
The VWAP Z-score helps you see when price has moved far from the volume-weighted average, often used by institutions.
Sortino Ratio Z-score focuses only on downside risk, which is often more relevant to traders than overall volatility.
ROC Z-score shows how fast price is changing—strong momentum may burn out quickly.
Price Z-score is the raw measure of how far current price has moved from its mean.
RSI Z-score shows whether momentum itself is stretched.
MACD Histogram Z-score captures shifts in trend strength and acceleration.
%B (Bollinger) Z-score indicates how close price is to the upper or lower volatility envelope.
Stochastic K Z-score gives a sense of how high or low price is relative to its recent range.
Volume Z-score shows when trading activity is unusually high or low.
ATR Z-score gives a read on volatility, showing if price movement is expanding or contracting.
Sharpe Z-score measures reward-to-risk performance, useful for evaluating trend quality.
Omega Z-score looks at the ratio of good returns to bad ones, offering a more nuanced view of efficiency.
By normalizing each of these using Z-scores and averaging only the ones you turn on, the script creates a flexible, balanced view of the market’s statistical stretch.
Calculations
The core formula is the standard Z-score:
Z = (current value - average) / standard deviation
Every indicator uses this formula after it’s calculated using your chosen settings. For example, RSI is first calculated as usual, then its Z-score is calculated over your selected lookback period. The script does this for every indicator you enable. Then it averages those Z-scores together to create a single value: zAvg. That value is plotted and used to generate visual cues, signals, table values, background color changes, and candle coloring.
Sequence
Each selected indicator is calculated using your custom input lengths.
The Z-score of each indicator is computed using the shared lookback period.
All active Z-scores are added up and averaged.
The resulting zAvg value is plotted as a line.
Signal conditions check if zAvg crosses user-defined thresholds (default: ±2).
If enabled, the script plots buy/sell signal labels at those crossover points.
The candle color is updated using your selected mode (heatmap or signal-based).
If extreme Z-scores are reached, background highlighting is applied.
A live table updates with each individual Z-score so you know what’s driving the signal.
Features
This script isn’t just about stats—it’s about making them usable in real time. Every feature has a clear reason to exist, and they’re all there to give you a better read on market conditions.
1. Universal Z-Score Line
This is your primary reference. It reflects the average Z-score across all selected indicators. The line updates live and is color-coded to show how far it is from neutral. The further it gets from 0, the brighter the color becomes—cyan for deeply oversold conditions, magenta for overbought. This gives you instant feedback on how statistically “hot” or “cold” the market is, without needing to read any numbers.
2. Signal Labels (“𝓤𝓹” and “𝓓𝓸𝔀𝓷”)
When the average Z-score drops below your lower bound, you’ll see a "𝓤𝓹" label below the bar, suggesting potential bullish reversal conditions. When it rises above the upper bound, a "𝓓𝓸𝔀𝓷" label is shown above the bar—indicating possible bearish exhaustion. These labels are visually clear and minimal so they don’t clutter your chart. They're based on clear crossover logic and do not repaint.
3. Real-Time Z-Score Table
The table shows each indicator's individual Z-score and the final average. It updates every bar, giving you a transparent breakdown of what’s happening under the hood. If the market is showing an extreme average score, this table helps you pinpoint which indicators are contributing the most—so you’re not just guessing where the pressure is coming from.
4. Bar Coloring Modes
You can choose from three modes:
None: Keeps your candles clean and untouched.
Heat: Applies a smooth gradient color based on Z-score intensity. As conditions become more extreme, candle color transitions from neutral to either cyan (bullish pressure) or magenta (bearish pressure).
Latest Signal: Applies hard coloring based on the most recent signal—greenish for a buy, purple for a sell. This mode is great for tracking market state at a glance without relying on a gradient.
Every part of the candle is colored—body, wick, and border—for full visibility.
5. Background Highlighting
When zAvg enters an extreme zone (typically above +2 or below -2), the background shifts color to reflect the market’s intensity. These changes aren’t overwhelming—they’re light fills that act as ambient warnings, helping you stay aware of when price might be reaching a tipping point.
6. Customizable Zone Lines and Fills
You can define what counts as neutral, overbought, and oversold using manual inputs. Horizontal lines show your thresholds, and shaded regions highlight the most extreme zones (+2 to +3 and -2 to -3). These lines give you visual structure to understand where price currently stands in relation to your personal reversal model.
7. Modular Indicator Control
You don’t have to use all the indicators. You can enable or disable any of the 12 with a simple checkbox. This means you can build your own “blend” of market context—maybe you only care about RSI, price, and volume. Or maybe you want everything on. The script adapts accordingly, only averaging what you select.
8. Fully Customizable Sensitivity and Lengths
You can adjust the Z-score lookback length globally (default 100), and tweak individual indicator lengths separately. This lets you tune the indicator’s responsiveness to suit your trading style—slower for longer swings, faster for scalping.
9. Clean Integration with Any Chart Layout
All visual elements are designed to be informative without taking over your chart. The coloring is soft but clear, the labels are readable without being huge, and you can turn off any feature you don’t need. The indicator can work as a full dashboard or as a simple line with a couple of alerts—it’s up to you.
10. Precise, Real-Time Signal Logic
The crossover logic for signals is exact and only fires when the Z-score moves across your defined boundary. No estimation, no delay. Everything is calculated based on current and previous bar data, and nothing repaints or back-adjusts.
Conclusion
The Universal Z-Score Valuation indicator is a tool for traders who want a clear, unbiased way to detect overextension. Instead of relying on a single signal, you get a composite of several market perspectives—momentum, volatility, volume, and more—all standardized into a single view. The script gives you the freedom to control the logic, the visuals, and the components. Whether you use it as a confirmation tool or a primary signal source, it’s designed to give you clarity when markets become chaotic.
Disclaimer
This indicator is for research and educational use only. It does not constitute financial advice or guarantees of performance. All trading involves risk, and users should test any strategy thoroughly before applying it to live markets. Use this tool at your own discretion.
Dual RSI IndicatorThis RSI indicator allows you to view an additional timeframe to help you spot better entries. For example when RSI is overbought/oversold on two timeframes may help give you additional confidence in placing the trade.
Normalized Open InterestNormalized Open Interest (nOI) — Indicator Overview
What it does
Normalized Open Interest (nOI) transforms raw futures open-interest data into a 0-to-100 oscillator, so you can see at a glance whether participation is unusually high or low—similar in spirit to an RSI but applied to open interest. The script positions today’s OI inside a rolling high–low range and paints it with contextual colours.
Core logic
Data source – Loads the built-in “_OI” symbol that TradingView provides for the current market.
Rolling range – Looks back a user-defined number of bars (default 500) to find the highest and lowest OI in that window.
Normalization – Calculates
nOI = (OI – lowest) / (highest – lowest) × 100
so 0 equals the minimum of the window and 100 equals the maximum.
Visual cues – Plots the oscillator plus fixed horizontal levels at 70 % and 30 % (or your own numbers). The line turns teal above the upper level, red below the lower, and neutral grey in between.
User inputs
Window Length (bars) – How many candles the indicator scans for the high–low range; larger numbers smooth the curve, smaller numbers make it more reactive.
Upper Threshold (%) – Default 70. Anything above this marks potentially crowded or overheated interest.
Lower Threshold (%) – Default 30. Anything below this marks low or capitulating interest.
Practical uses
Spot extremes – Values above the upper line can warn that the long side is crowded; values below the lower line suggest disinterest or short-side crowding.
Confirm breakouts – A price breakout backed by a sharp rise in nOI signals genuine engagement.
Look for divergences – If price makes a new high but nOI does not, participation might be fading.
Combine with volume or RSI – Layer nOI with other studies to filter false signals.
Tips
On intraday charts for non-crypto symbols the script automatically fetches daily OI data to avoid gaps.
Adjust the thresholds to 80/20 or 60/40 to fit your market and risk preferences.
Alerts, shading, or additional signal logic can be added easily because the oscillator is already normalised.
MARSdx BTCUSD Strategy🔍 Strategy Overview
The MARSdx Strategy is a hybrid trend-following and momentum-based system designed specifically for Bitcoin trading(works also on other Crypto like ETHUSD). It combines four technical indicators—SMA, EMA, RSI, and ADX—to filter high-probability long entries during strong bullish phases.
✅ Entry Conditions
Price above SMA(50) → confirms long-term bullish trend
Price above EMA(7) → confirms short-term momentum
RSI(2) > ADX(2) → confirms strong bullish pressure
Only when all three conditions are met, a long position is opened.
❌ Exit Condition
RSI(2) < ADX(2) → momentum weakens, exit position
📊 Indicators Used
SMA (Simple Moving Average) – identifies overall trend
EMA (Exponential Moving Average) – captures short-term momentum
RSI (Relative Strength Index) – gauges strength of price movement
ADX (Average Directional Index) – filters based on trend strength
⚙️ Inputs
SMA Length: Default 50
EMA Length: Default 7
RSI Length: Default 2
ADX Length: Default 2
You can tweak these parameters to suit other timeframes or crypto assets.
⚠️ This strategy only takes long trades. It does not use any stop-loss or profit target logic and should be combined with sound risk management.
Stochastic SuperTrend [BigBeluga]🔵 OVERVIEW
A hybrid momentum-trend tool that combines Stochastic RSI with SuperTrend logic to deliver clean directional signals based on momentum turns.
Stochastic SuperTrend is a straightforward yet powerful oscillator overlay designed to highlight turning points in momentum with high clarity. It overlays a SuperTrend-style envelope onto the Stochastic RSI, generating intuitive up/down signals when a momentum shift occurs across the neutral 50 level. Built for traders who appreciate simplicity without sacrificing reliability.
🔵 CONCEPTS
Stochastic RSI: Measures momentum by applying stochastic calculations to the RSI curve instead of raw price.
SuperTrend Bands: Dynamic upper/lower bands are drawn around the smoothed Stoch RSI line using a user-defined multiplier.
Momentum Direction: Trend flips when the smoothed Stoch RSI crosses above/below the calculated bands.
Neutral Bias Filter: Directional arrows only appear when momentum turns above or below the central 50 level—adding confluence.
🔵 FEATURES
Trend Detection on Oscillator: Applies SuperTrend logic directly to the Stoch RSI curve.
Clean Entry Signals:
→ 🢁 arrow printed when trend flips bullish below 50 (bottom reversals).
→ 🢃 arrow printed when trend flips bearish above 50 (top reversals).
Custom Multiplier: Adjust sensitivity of SuperTrend band spacing around the oscillator.
Neutral Zone Highlight: Visual zone between 0–50 (green) and 50–100 (red) for quick momentum polarity reference.
Toggle SuperTrend Line: Option to show/hide the SuperTrend trail on the Stoch RSI.
🔵 HOW TO USE
Use 🢁 signals for potential bottom reversals when momentum flips bullish from oversold regions.
Use 🢃 signals for potential top reversals when momentum flips bearish from overbought areas.
Combine with price-based SuperTrend or support/resistance zones for confluence.
Suitable for scalping, swing trading, or momentum filtering across all timeframes.
🔵 CONCLUSION
Stochastic SuperTrend is a simple yet refined tool that captures clean momentum shifts with directional clarity. Whether you're identifying reversals, filtering entries, or spotting exhaustion in a trend, this oscillator overlay delivers just what you need— no clutter, just clean momentum structure.
Wawa Lite - Liquidity Sweeps + Couleurs personnalisablesThis indicator can only be used with the trend and only on gold!
Here are all the tools inside:
EMA 50 and 200 close
RSI close 14
Liquidity sweep
Tested on 500 and in profit of 60.4 on gold, used during London and New York killzones as much more relevant.
you can change the size of the sl and tp as well as the colours, I'll do an update to put them online and not in the bubble.
ONLY GOLD BEWARE
RSI OB/OS THEDU 999//@version=6
indicator("RSI OB/OS THEDU 999", overlay=false)
//#region Inputs Section
// ================================
// Inputs Section
// ================================
// Time Settings Inputs
startTime = input.time(timestamp("1 Jan 1900"), "Start Time", group="Time Settings")
endTime = input.time(timestamp("1 Jan 2099"), "End Time", group="Time Settings")
isTimeWindow = time >= startTime and time <= endTime
// Table Settings Inputs
showTable = input.bool(true, "Show Table", group="Table Settings")
fontSize = input.string("Auto", "Font Size", options= , group="Table Settings")
// Strategy Settings Inputs
tradeDirection = input.string("Long", "Trade Direction", options= , group="Strategy Settings")
entryStrategy = input.string("Revert Cross", "Entry Strategy", options= , group="Strategy Settings")
barLookback = input.int(10, "Bar Lookback", minval=1, maxval=20, group="Strategy Settings")
// RSI Settings Inputs
rsiPeriod = input.int(14, "RSI Period", minval=1, group="RSI Settings")
overboughtLevel = input.int(70, "Overbought Level", group="RSI Settings")
oversoldLevel = input.int(30, "Oversold Level", group="RSI Settings")
//#endregion
//#region Font Size Mapping
// ================================
// Font Size Mapping
// ================================
fontSizeMap = fontSize == "Auto" ? size.auto : fontSize == "Small" ? size.small : fontSize == "Normal" ? size.normal : fontSize == "Large" ? size.large : na
//#endregion
//#region RSI Calculation
// ================================
// RSI Calculation
// ================================
rsiValue = ta.rsi(close, rsiPeriod)
plot(rsiValue, "RSI", color=color.yellow)
hline(overboughtLevel, "OB Level", color=color.gray)
hline(oversoldLevel, "OS Level", color=color.gray)
//#endregion
//#region Entry Conditions
// ================================
// Entry Conditions
// ================================
buyCondition = entryStrategy == "Revert Cross" ? ta.crossover(rsiValue, oversoldLevel) : ta.crossunder(rsiValue, oversoldLevel)
sellCondition = entryStrategy == "Revert Cross" ? ta.crossunder(rsiValue, overboughtLevel) : ta.crossover(rsiValue, overboughtLevel)
// Plotting buy/sell signals
plotshape(buyCondition ? oversoldLevel : na, title="Buy", location=location.absolute, color=color.green, style=shape.labelup, text="BUY", textcolor=color.white, size=size.small)
plotshape(sellCondition ? overboughtLevel : na, title="Sell", location=location.absolute, color=color.red, style=shape.labeldown, text="SELL", textcolor=color.white, size=size.small)
// Plotting buy/sell signals on the chart
plotshape(buyCondition, title="Buy", location=location.belowbar, color=color.green, style=shape.triangleup, text="BUY", textcolor=color.white, size=size.small , force_overlay = true)
plotshape(sellCondition, title="Sell", location=location.abovebar, color=color.red, style=shape.triangledown, text="SELL", textcolor=color.white, size=size.small, force_overlay = true)
//#endregion
//#region Returns Matrix Calculation
// ================================
// Returns Matrix Calculation
// ================================
var returnsMatrix = matrix.new(0, barLookback, 0.0)
if (tradeDirection == "Long" ? buyCondition : sellCondition ) and isTimeWindow
newRow = array.new_float(barLookback)
for i = 0 to barLookback - 1
entryPrice = close
futurePrice = close
ret = (futurePrice - entryPrice) / entryPrice * 100
array.set(newRow, i, math.round(ret, 4))
matrix.add_row(returnsMatrix, matrix.rows(returnsMatrix), newRow)
//#endregion
//#region Display Table
// ================================
// Display Table
// ================================
var table statsTable = na
if barstate.islastconfirmedhistory and showTable
statsTable := table.new(position.top_right, barLookback + 1, 4, border_width=1, force_overlay=true)
// Table Headers
table.cell(statsTable, 0, 1, "Win Rate %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap)
table.cell(statsTable, 0, 2, "Mean Return %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap)
table.cell(statsTable, 0, 3, "Median Return %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap)
// Row Headers
for i = 1 to barLookback
table.cell(statsTable, i, 0, str.format("{0} Bar Return", i), bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap)
// Calculate Statistics
meanReturns = array.new_float()
medianReturns = array.new_float()
for col = 0 to matrix.columns(returnsMatrix) - 1
colData = matrix.col(returnsMatrix, col)
array.push(meanReturns, array.avg(colData))
array.push(medianReturns, array.median(colData))
// Populate Table
for col = 0 to matrix.columns(returnsMatrix) - 1
colData = matrix.col(returnsMatrix, col)
positiveCount = 0
for val in colData
if val > 0
positiveCount += 1
winRate = positiveCount / array.size(colData)
meanRet = array.avg(colData)
medianRet = array.median(colData)
// Color Logic
winRateColor = winRate == 0.5 ? color.rgb(58, 58, 60) : (winRate > 0.5 ? color.rgb(76, 175, 80) : color.rgb(244, 67, 54))
meanBullCol = color.from_gradient(meanRet, 0, array.max(meanReturns), color.rgb(76, 175, 80), color.rgb(0, 128, 0))
meanBearCol = color.from_gradient(meanRet, array.min(meanReturns), 0, color.rgb(255, 0, 0), color.rgb(255, 99, 71))
medianBullCol = color.from_gradient(medianRet, 0, array.max(medianReturns), color.rgb(76, 175, 80), color.rgb(0, 128, 0))
medianBearCol = color.from_gradient(medianRet, array.min(medianReturns), 0, color.rgb(255, 0, 0), color.rgb(255, 99, 71))
table.cell(statsTable, col + 1, 1, str.format("{0,number,#.##%}", winRate), text_color=color.white, bgcolor=winRateColor, text_size=fontSizeMap)
table.cell(statsTable, col + 1, 2, str.format("{0,number,#.###}%", meanRet), text_color=color.white, bgcolor=meanRet > 0 ? meanBullCol : meanBearCol, text_size=fontSizeMap)
table.cell(statsTable, col + 1, 3, str.format("{0,number,#.###}%", medianRet), text_color=color.white, bgcolor=medianRet > 0 ? medianBullCol : medianBearCol, text_size=fontSizeMap)
//#endregion
// Background color for OB/OS regions
bgcolor(rsiValue >= overboughtLevel ? color.new(color.red, 90) : rsiValue <= oversoldLevel ? color.new(color.green, 90) : na)
EMA Crossover + RSI Confirmation (Buy/Sell)Updated version for EMA crossover stategy with RSI confirmation
EMA Crossover + RSI Confirmation (Buy/Sell)This indicator provides buy and sell signals based on EMA9 and EMA21 crossover with confirmation from RSI
Bollinger Bands Entry/Exit ThresholdsBollinger Bands Entry/Exit Thresholds
Author of enhancements: chuckaschultz
Inspired and adapted from the original 'Bollinger Bands Breakout Oscillator' by LuxAlgo
Overview
Pairs nicely with Contrarian 100 MA
The Bollinger Bands Entry/Exit Thresholds is a powerful momentum-based indicator designed to help traders identify potential entry and exit points in trending or breakout markets. By leveraging Bollinger Bands, this indicator quantifies price deviations from the bands to generate bullish and bearish momentum signals, displayed as an oscillator. It includes customizable entry and exit signals based on user-defined thresholds, with visual cues plotted either on the oscillator panel or directly on the price chart.
This indicator is ideal for traders looking to capture breakout opportunities or confirm trend strength, with flexible settings to adapt to various markets and trading styles.
How It Works
The Bollinger Bands Entry/Exit Thresholds calculates two key metrics:
Bullish Momentum (Bull): Measures the extent to which the price exceeds the upper Bollinger Band, expressed as a percentage (0–100).
Bearish Momentum (Bear): Measures the extent to which the price falls below the lower Bollinger Band, also expressed as a percentage (0–100).
The indicator generates:
Long Entry Signals: Triggered when the bearish momentum (bear) crosses below a user-defined Long Threshold (default: 40). This suggests weakening bearish pressure, potentially indicating a reversal or breakout to the upside.
Exit Signals: Triggered when the bullish momentum (bull) crosses below a user-defined Sell Threshold (default: 80), indicating a potential reduction in bullish momentum and a signal to exit long positions.
Signals are visualized as tiny colored dots:
Long Entry: Blue dots, plotted either at the bottom of the oscillator or below the price bar (depending on user settings).
Exit Signal: White dots, plotted either at the top of the oscillator or above the price bar.
Calculation Methodology
Bollinger Bands:
A user-defined Length (default: 14) is used to calculate an Exponential Moving Average (EMA) of the source price (default: close).
Standard deviation is computed over the same length, multiplied by a user-defined Multiplier (default: 1.0).
Upper Band = EMA + (Standard Deviation × Multiplier)
Lower Band = EMA - (Standard Deviation × Multiplier)
Bull and Bear Momentum:
For each bar in the lookback period (length), the indicator calculates:
Bullish Momentum: The sum of positive deviations of the price above the upper band, normalized by the total absolute deviation from the upper band, scaled to a 0–100 range.
Bearish Momentum: The sum of positive deviations of the price below the lower band, normalized by the total absolute deviation from the lower band, scaled to a 0–100 range.
Formula:
bull = (sum of max(price - upper, 0) / sum of abs(price - upper)) * 100
bear = (sum of max(lower - price, 0) / sum of abs(lower - price)) * 100
Signal Generation:
Long Entry: Triggered when bear crosses below the Long Threshold.
Exit: Triggered when bull crosses below the Sell Threshold.
Settings
Length: Lookback period for EMA and standard deviation (default: 14).
Multiplier: Multiplier for standard deviation to adjust Bollinger Band width (default: 1.0).
Source: Input price data (default: close).
Long Threshold: Bearish momentum level below which a long entry signal is generated (default: 40).
Sell Threshold: Bullish momentum level below which an exit signal is generated (default: 80).
Plot Signals on Main Chart: Option to display entry/exit signals on the price chart instead of the oscillator panel (default: false).
Style:
Bullish Color: Color for bullish momentum plot (default: #f23645).
Bearish Color: Color for bearish momentum plot (default: #089981).
Visual Features
Bull and Bear Plots: Displayed as colored lines with gradient fills for visual clarity.
Midline: Horizontal line at 50 for reference.
Threshold Lines: Dashed green line for Long Threshold and dashed red line for Sell Threshold.
Signal Dots:
Long Entry: Tiny blue dots (below price bar or at oscillator bottom).
Exit: Tiny white dots (above price bar or at oscillator top).
How to Use
Add to Chart: Apply the indicator to your TradingView chart.
Adjust Settings: Customize the Length, Multiplier, Long Threshold, and Sell Threshold to suit your trading strategy.
Interpret Signals:
Enter a long position when a blue dot appears, indicating bearish momentum dropping below the Long Threshold.
Exit the long position when a white dot appears, indicating bullish momentum dropping below the Sell Threshold.
Toggle Plot Location: Enable Plot Signals on Main Chart to display signals on the price chart for easier integration with price action analysis.
Combine with Other Tools: Use alongside other indicators (e.g., trendlines, support/resistance) to confirm signals.
Notes
This indicator is inspired by LuxAlgo’s Bollinger Bands Breakout Oscillator but has been enhanced with customizable entry/exit thresholds and signal plotting options.
Best used in conjunction with other technical analysis tools to filter false signals, especially in choppy or range-bound markets.
Adjust the Multiplier to make the Bollinger Bands wider or narrower, affecting the sensitivity of the momentum calculations.
Disclaimer
This indicator is provided for educational and informational purposes only.
Momentum Trajectory Suite📈 Momentum Trajectory Suite
🟢 Overview
Momentum Trajectory Suite is a multi-faceted indicator designed to help traders evaluate trend direction, volatility conditions, and behavioral sentiment in a single consolidated view.
By combining a customizable Trajectory EMA, adaptive Bollinger Bands, and a Greed vs. Fear heatmap, this tool empowers traders to identify directional bias, measure momentum strength, and spot potential reversals or continuation setups.
🧠 Concept
This indicator merges three classic techniques:
Trend Analysis: Trajectory EMA highlights the prevailing directional momentum by smoothing price action over a customizable period.
Volatility Envelopes: Bollinger Bands adapt to dynamic price swings, showing overbought/oversold extremes and periods of contraction or expansion.
Behavioral Sentiment: A Greed vs. Fear heatmap combines RSI and MACD Histogram readings to visualize when markets are dominated by buying enthusiasm or selling pressure.
The combination is designed to help traders interpret market context more effectively than using any single component alone.
🛠️ How to Use the Indicator
Trajectory EMA:
Use the blue EMA line to assess overall trend direction.
Price closing above the EMA may indicate bullish momentum; closing below may indicate bearish bias.
Buy/Sell Signals:
Green circles appear when price crosses above the EMA (potential long entry).
Red circles appear when price crosses below the EMA (potential exit or short entry).
Bollinger Bands:
Monitor upper/lower bands for overbought and oversold price extremes.
Narrowing bands may signal upcoming volatility expansion.
Greed vs. Fear Heatmap:
Green histogram bars indicate bullish sentiment when RSI exceeds 60 and MACD Histogram is positive.
Red histogram bars indicate bearish sentiment when RSI is below 40 and MACD Histogram is negative.
Gray bars indicate neutral or mixed conditions.
Background Color Zones:
The chart background shifts to green when EMA slope is positive and red when negative, providing quick directional cues.
All inputs are adjustable in settings, including EMA length, Bollinger Band parameters, and oscillator configurations.
📊 Interpretation
Bullish Conditions:
Price above the Trajectory EMA, background green, and Greed heatmap active.
May signal trend continuation and increased buying pressure.
Bearish Conditions:
Price below the Trajectory EMA, background red, and Fear heatmap active.
May signal momentum breakdown or potential continuation to the downside.
Volatility Clues:
Wide Bollinger Bands = trending, volatile market.
Narrow Bollinger Bands = low volatility and possible breakout setup.
Signal Confirmation:
Consider combining signals (e.g., EMA crossover + Greed/Fear heatmap + Bollinger Band touch) for higher-confidence entries.
📝 Notes
The script does not repaint or use future data.
Suitable for multiple timeframes (intraday to daily).
May be combined with other confirmation tools or price action analysis.
⚠️ Disclaimer
This script is for educational and informational purposes only and does not constitute financial advice. Trading carries risk and past performance is not indicative of future results. Always perform your own due diligence before making trading decisions.
RSI Divergence (Nikko)RSI Divergence by Nikko
🧠 RSI Divergence Detector — Nikko Edition This script is an enhanced RSI Divergence detector built with Pine Script v6, modified for better visuals and practical usability. It uses linear regression to detect bullish and bearish divergences between the RSI and price action — one of the most reliable early signals in technical analysis.
✅ Improvements from the Original:
- Clean divergence lines using regression fitting.
- Optional label display to reduce clutter (Display Labels toggle).
- Adjustable line thickness (Display Line Width).
- A subtle heatmap background to highlight RSI overbought/oversold zones.
- Uses max accuracy with high calc_bars_count and custom extrapolation window.
🔍 How It Works: The script applies linear regression (least squares method) on both RSI data, and Price (close) data.
It then compares the direction of RSI vs. direction of Price over a set length. If price is making higher highs while RSI makes lower highs, it's a bearish divergence. If price is making lower lows while RSI makes higher lows, it's a bullish divergence. Additional filters (e.g., momentum and slope thresholds) are used to validate only strong divergences.
🔧 Input Parameters: RSI Length: The RSI period (default: 14). RSI Divergence Length: The lookback period for regression (default: 25). Source: Which price data to calculate RSI from (default: close). Display Labels: Show/hide “Bullish” or “Bearish” labels on the chart. Display Line Width: Adjusts how thick the plotted divergence lines appear.
📣 Alerts: Alerts are built-in for both RSI Buy (bullish divergence) and RSI Sell (bearish divergence) so you can use it in automation or notifications.
🚀 Personal Note: I’ve been using this script daily in my own trading, which is why I took time to improve both the logic and visual clarity. If you want a divergence tool that doesn't clutter your chart but gives strong signals, this might be what you're looking for.
📊 RSI Multi-Timeframe Dashboard by giua64)### Summary
This is an advanced dashboard that provides a comprehensive overview of market strength and momentum, based on the Relative Strength Index (RSI) analyzed across 6 different timeframes simultaneously (from 5 minutes to the daily chart).
The purpose of this script is to offer traders an immediate and easy-to-read summary of market conditions, helping to identify the prevailing trend direction, overbought/oversold levels, and potential reversals through divergence detection. All of this is available in a single panel, eliminating the need to switch timeframes on your main chart.
### Key Features
* **Multi-Timeframe Analysis:** Simultaneously monitors the 5m, 15m, 30m, 1H, 4H, and Daily timeframes.
* **Scoring System:** Each timeframe is assigned a score based on multiple RSI conditions (e.g., above/below 50, overbought/oversold status, direction) to quantify bullish or bearish strength.
* **Aggregated Signal:** The dashboard calculates a total percentage score and provides a clear summary signal: **LONG**, **SHORT**, or **WAIT**.
* **Divergence Detection:** Automatically identifies Bullish and Bearish divergences between price and RSI for each timeframe.
* **Non-Repainting Option:** In the settings, you can choose to base calculations on the close of the previous candle (`Use RSI on Closed Candle`). This ensures that past signals (like status and score) do not change, providing more reliable data for analysis.
* **Fully Customizable:** Users can modify the RSI period, overbought/oversold thresholds, divergence detection settings, and the appearance of the table.
### How to Read the Dashboard
The table consists of 6 columns, each providing specific information:
* **% (Total Score):**
* **Header:** Shows the overall strength as a percentage. A positive value indicates bullish momentum, while a negative value indicates bearish momentum. The background color changes based on intensity.
* **Rows:** Displays the numerical score for the individual timeframe.
* **RSI:**
* **Header:** The background color indicates the average of all RSI values. Green if the average is > 50, Red if < 50.
* **Rows:** Shows the real-time RSI value for that timeframe.
* **Signal (Status):**
* **Header:** This is the final operational signal. It turns **🟢 LONG** when bullish strength is high, **🔴 SHORT** when bearish strength is high, and **⚪ WAIT** in neutral conditions.
* **Rows:** Describes the RSI status for that timeframe (e.g., Bullish, Bearish, Overbought, Oversold).
* **Dir (Direction):**
* **Header:** Displays an arrow representing the majority direction across all timeframes.
* **Rows:** Shows the instantaneous direction of the RSI (↗️ for rising, ↘️ for falling).
* **Diverg (Divergence):**
* Indicates if a bullish (`🟢 Bull`) or bearish (`🔴 Bear`) divergence has been detected on that timeframe.
* **TF (Timeframe):**
* Indicates the reference timeframe for that row.
### Advantages and Practical Use
This tool was created to solve a common problem: the need to analyze multiple charts to understand the bigger picture. With this dashboard, you can:
1. **Confirm a Trend:** A predominance of green and a "LONG" signal provides strong confirmation of bullish sentiment.
2. **Identify Weakness:** Red signals on higher timeframes can warn of an impending loss of momentum.
3. **Spot Turning Points:** A divergence on a major timeframe can signal an excellent reversal opportunity.
### Originality and Acknowledgements
This script is an original work, written from scratch by giua64. The idea was to create a comprehensive and visually intuitive tool for RSI analysis.
Any feedback, comments, or suggestions to improve the script are welcome!
**Disclaimer:** This is a technical analysis tool and should not be considered financial advice. Always do your own research and backtest any tool before using it in a live trading environment.
KDJKDJ 指标是一种动量类技术指标，用于衡量市场的超买和超卖状态。它由三条线组成：
K线：反映当前价格相对于近期价格区间的位置；
D线：K线的平滑值；
J线：K与D的加权差值，用于增强动量信号。
当 J 线向上突破 D 线，常被视为买入信号；当 J 线向下跌破 D 线，则常被视为卖出信号。
该指标在震荡行情中较为有效，搭配其他趋势指标可提高可靠性。
KDJ Indicator is a momentum-based technical indicator used to assess overbought and oversold conditions in the market. It consists of three lines:
K Line: Shows the relative position of the current price within a recent high-low range.
D Line: A smoothed version of the K line.
J Line: An amplified difference between the K and D lines to highlight momentum.
When the J line crosses above the D line, it is typically considered a bullish (buy) signal; when it crosses below, it's seen as bearish (sell) signal.
This indicator performs well in ranging markets and can be more reliable when combined with trend-following indicators.
