Deviation from EMA & VWAPThis indicator displays the real-time percentage deviation of price from both the EMA and VWAP.
🔹 EMA Deviation is shown as a smooth blue line
🟧 VWAP Deviation is shown as an orange histogram
📉 Use it to spot overbought/oversold conditions or sharp impulse moves
🔔 Built-in alerts for extreme deviations
🎯 Fully customizable: EMA length, deviation thresholds, VWAP toggle, and more
Ideal for identifying counter-trend setups and price extremes across all timeframes.
อินดิเคเตอร์และกลยุทธ์
Henry Hub Verfallstermine 2025This Pine Script plots vertical lines on your TradingView chart at each 2025 Henry Hub Natural Gas futures expiry date. Each line:
Appears from top to bottom of the chart.
Is labeled with the exact expiry date (e.g., 2025-06-26).
Has a customizable color via the script settings.
This helps you visually track key contract rollover points directly on your chart.
PLR-Z For Loop🧠 Overview
PLR-Z For Loop is a trend-following indicator built on the Power Law Residual Z-score model of Bitcoin price behavior. By measuring how far price deviates from a long-term power law regression and applying a custom scoring loop, this tool identifies consistent directional pressure in market structure. Designed for BTC, this indicator helps traders align with macro trends.
🧩 Key Features
Power Law Residual Model: Tracks deviations of BTC price from its long-term logarithmic growth curve.
Z-Score Normalization: Applies long-horizon statistical normalization (400/1460 bars) to smooth residual deviations into a usable trend signal.
Loop-Based Trend Filter: Iteratively scores how often the current Z-score exceeds prior values, emphasizing trend persistence over volatility.
Optional Smoothing: Toggleable exponential smoothing helps filter noise in choppier market conditions.
Directional Regime Coloring: Aqua (bullish) and Red (bearish) visuals reinforce trend alignment across plots and candles.
🔍 How It Works
Power Law Curve: Price is compared against a logarithmic regression model fitted to historical BTC price evolution (starting July 2010), defining structural support, resistance, and centerline levels.
Residual Z-Score: The residual is calculated as the log-difference between price and the power law center.
This residual is then normalized using a rolling mean (400 days) and standard deviation (1460 days) to create a long-term Z-score.
Loop Scoring Logic:
A loop compares the current Z-score to a configurable number of past bars.
Each higher comparison adds +1, and each lower one subtracts -1.
The result is a trend persistence score (z_loop) that grows with consistent directional momentum.
Smoothing Option: A user-defined EMA smooths the score, if enabled, to reduce short-term signal noise.
Signal Logic:
Long signal when trend score exceeds long_threshold.
Short signal when score drops below short_threshold.
Directional State (CD): Internally manages the current market regime (1 = long, -1 = short), controlling all visual output.
🔁 Use Cases & Applications
Macro Trend Alignment: Ideal for traders and analysts tracking Bitcoin’s structural momentum over long timeframes.
Trend Persistence Filter: Helps confirm whether the current move is part of a sustained trend or short-lived volatility.
Best Suited for BTC: Built specifically on the BNC BLX price history and Bitcoin’s power law behavior. Not designed for use with other assets.
✅ Conclusion
PLR-Z For Loop reframes Bitcoin’s long-term power law model into a trend-following tool by scoring the persistence of deviations above or below fair value. It shifts the focus from valuation-based mean reversion to directional momentum, making it a valuable signal for traders seeking high-conviction participation in BTC’s broader market cycles.
⚠️ Disclaimer
The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
CHN BUY SELL with EMA 200Overview
This indicator combines RSI 7 momentum signals with EMA 200 trend filtering to generate high-probability BUY and SELL entry points. It uses colored candles to highlight key market conditions and displays clear trading signals with built-in cooldown periods to prevent signal spam.
Key Features
Colored Candles: Visual momentum indicators based on RSI 7 levels
Trend Filtering: EMA 200 confirms overall market direction
Signal Cooldown: Prevents over-trading with adjustable waiting periods
Clean Interface: Simple BUY/SELL labels without clutter
How It Works
Candle Coloring System
Yellow Candles: Appear when RSI 7 ≥ 70 (overbought momentum)
Purple Candles: Appear when RSI 7 ≤ 30 (oversold momentum)
Normal Candles: All other market conditions
Trading Signals
BUY Signal: Triggered when closing price > EMA 200 AND yellow candle appears
SELL Signal: Triggered when closing price < EMA 200 AND purple candle appears
Signal Cooldown
After a BUY or SELL signal appears, the same signal type is suppressed for a specified number of candles (default: 5) to prevent excessive signals in ranging markets.
Settings
RSI 7 Length: Period for RSI calculation (default: 7)
RSI 7 Overbought: Threshold for yellow candles (default: 70)
RSI 7 Oversold: Threshold for purple candles (default: 30)
EMA Length: Period for trend filter (default: 200)
Signal Cooldown: Candles to wait between same signal type (default: 5)
How to Use
Apply the indicator to your chart
Look for yellow or purple colored candles
For LONG entries: Wait for yellow candle above EMA 200, then enter BUY when signal appears
For SHORT entries: Wait for purple candle below EMA 200, then enter SELL when signal appears
Use appropriate risk management and position sizing
Best Practices
Works best on timeframes M15 and higher
Suitable for Forex, Gold, Crypto, and Stock markets
Consider market volatility when setting stop-loss and take-profit levels
Use in conjunction with proper risk management strategies
Technical Details
Overlay: True (plots directly on price chart)
Calculation: Based on RSI momentum and EMA trend analysis
Signal Logic: Combines momentum exhaustion with trend direction
Visual Feedback: Colored candles provide immediate market condition awareness
PE | EPS | Book | PBV | Earning% | Dividend% | ROE% | DEAll in one PE | EPS | Book | PBV | Earning% | Dividend% | ROE% | DE
all common indicator need for fundamental analysis
M2 Lag Correlation | QuantumResearch🧠 M2 Lag Correlation | QuantumResearch
Global M2 vs. Asset Lagged Correlation Dashboard
Measuring delayed macroeconomic impact across regions and asset classes
🌍 Why Is It Unique?
This is the first macro-financial correlation tool on TradingView that tracks and aggregates lagged money supply (M2) data across 20 global economies, FX-adjusted into USD equivalence, and overlays it against your selected chart (BTC, ETH, SPX, etc.).
It does more than just plot macro data — it quantifies the delayed correlation between asset price action and macro liquidity trends, providing a unique macro-lag insight tool for serious analysts and long-term investors.
📌 What It Does:
Computes the global M2 aggregate using 20 region-specific M2 datasets, normalized via local exchange rates
Lets you shift the M2 data forward using a customizable day offset (default: 96D) to model macro lag effects
Calculates rolling Pearson correlation between your charted asset and the lagged M2 line
Outputs correlation scores across four windows:
🟢 30D (Monthly)
🟢 90D (Quarterly)
🟢 182D (Semester)
🟢 365D (Yearly)
➕ Includes a composite Average Score
Displays values in a clean dashboard-style table with color-coded feedback
🔍 Use Cases:
Detect how macro liquidity expansion or contraction influences your asset
Determine the macro lag window — the period after which monetary supply affects asset prices
Validate cycle transitions using data-backed macro alignment
Compare lag response between assets (e.g., BTC vs. ETH vs. NASDAQ)
📊 Macro Lag Insight:
As of recent data:
Bitcoin (BTC) shows the strongest correlation with global M2 at approximately 97 days of lag
Ethereum (ETH) shows its peak correlation around 108 days of lag
These lag values are not static and may evolve over time as macro conditions shift. The script allows users to explore such relationships interactively.
⚙️ Customizable Parameters:
🔄 Offset (Days) – Slide the M2 curve forward to match historical asset reactions
🎨 Color Mode – 8 color palettes to match your visual preferences
📍 Table Position – Place the correlation display wherever you want on your chart
✅ Requirements:
Access to ECONOMICS and FX_IDC feeds on TradingView
Chart timeframe: preferably daily or higher for macro relevance
⚠️ Disclaimer:
Disclaimer: The content on this indicator is for informational and educational purposes only. Nothing contained within should be considered financial, investment, legal, or other professional advice. Past performance does not guarantee future results. Trading cryptocurrencies involves substantial risk of loss and is not suitable for every investor.
Correlation does not imply causation. This tool offers macro-aligned insight, not direct price prediction. Use it alongside a broader macro and market framework.
Advanced Lot Size Calculator📌 Name:
Advanced Lot Size Calculator
🎯 Purpose:
This TradingView script helps calculate and display the correct lot size for trading, based on:
Your account balance
Risk percentage (e.g., 1%)
Stop-loss size (in pips)
Currency pair exchange rate (e.g., EURAUD)
🔢 Key Inputs:
5 Account Balances (Balance 1 to Balance 5) – lets you track multiple trading accounts.
Risk Percentage (%) – the percentage of the account you're willing to risk per trade.
Stop Loss in Pips – size of your stop loss in pips.
⚙️ How It Works:
For each account balance:
It calculates how much money (in USD) you’re risking (e.g., 1% of $2000 = $20).
Converts it to the local currency if needed (e.g., AUD).
Divides it by the pip value and stop-loss size to determine the correct lot size.
Truncates the result to 2 decimal places.
It uses live exchange rates by checking the current symbol's quote currency (like AUD in EURAUD).
🧾 What It Shows (Table on the Chart):
A table in the bottom-right corner with the following columns:
Cash $ – the account balance
% Risc – your selected risk percentage
Lot – the calculated lot size for that account
🎨 Color Coding:
The Lot size text changes color based on the selected risk:
🟢 Green if risk is ≤ 1% → safe risk
🟠 Orange if risk is > 1% and ≤ 2%
🔴 Red if risk is > 2% → high risk
✅ Use Case:
Ideal for day traders or swing traders who:
Use multiple accounts
Want quick, reliable lot size calculation based on strict risk management
Trade pairs like EURAUD, USDJPY, etc., and want automatic exchange rate handling
Let me know if you'd like to:
Set different risk percentages per account
Show risk in dollars
Hide accounts with 0 balance automatically
Regression Channel (Interactive)Weighted Interactive Regression Channel (WIRC)
Overview
The Weighted Interactive Regression Channel improves on traditional regression channels by emphasizing key price points through intelligent weighting. Instead of treating all candles equally, WIRC adapts to market dynamics for better trend detection and channel accuracy.
Key Differences from Standard Channels
Weighted vs. Equal: Prioritizes significant events over uniform weighting
Dynamic vs. Static: Adapts in real time to market changes
Accurate vs. Basic: Reduces noise, enhances signal clarity
Customizable vs. Fixed: Full control over weights and visuals
Weighting Methods
Direction Change – Highlights reversal points via local peaks/troughs
Volume-Based – Emphasizes high-volume candles, ideal for breakouts
Price Range – Weights wide-range candles to capture volatility
Time Decay – Prioritizes recent data for current market relevance
Interactive Features
Data Range: Set channel start/end over 1–500 bars
Visuals: Line styles, color coding, fill options, reference lines
Stats: Slope, R², standard deviation, point count, weight method
Technical Implementation
Weighted Regression Formula: Uses weights for slope, intercept, and deviation
Channel Lines: Center = weighted regression; bounds = ± deviation × multiplier
Usage Scenarios
Trend Analysis: Use Direction Change + longer range
Breakouts: Use Volume weighting + fill + boundary watching
Volatility: Apply Price Range weighting + monitor standard deviation
Current Market: Use Time Decay + shorter ranges + stat display
Parameter Tips
Channel Width:
Narrow (1.0–1.5): Responsive
Standard (1.5–2.0): Balanced
Wide (2.0–3.0+): Conservative
Weighting Intensity:
Conservative (1.5–2.0)
Moderate (2.0–3.0)
Aggressive (3.0+)
Advanced Use
Multi-Timeframe: Use different weightings per timeframe
Market Structure: Detect swings, institutional zones
Risk Management: Dynamic S/R levels, volatility-driven sizing
Best Practices
Start with Direction Change
Test different ranges
Monitor stats
Combine with other indicators
Adjust to market context
Recalibrate regularly
Conclusion
WIRC delivers a smarter, more adaptive view of price action than standard regression tools. With real-time customization and multiple weighting options, it’s ideal for traders seeking precision across strategies—trend tracking, breakout confirmation, or volatility insight.
Wave Trend - V5Update of V4, only medium and strong signals on 4H and above time frames shown due to too much alerts produced on lower frames. Generates clear BUY/SELL signals across several timeframes comparing with BTC signals to follow the BTC trend.
Congestion Indicator - Oscillator by saurabh maggoCore Functionality
Market State Detection:
Congestion: Identifies periods of low volatility (price consolidation) where the price range is tight relative to the Average True Range (ATR). Visualized with a blue background in the oscillator panel.
Breakout Up: Detects upward breakouts from congestion zones, requiring conditions like price movement above the congestion high, volume spikes, and volatility increases. Visualized with a green background.
Breakdown (Breakout Down): Detects downward breakouts from congestion zones, with similar conditions as Breakout Up but for downward movement. Visualized with a red background.
Post-Congestion: Identifies the period after a congestion zone ends but before a breakout occurs (if extend_until_breakout is disabled). Visualized with a yellow background.
Pullback: Detects pullbacks after breakouts or breakdowns, useful for identifying potential entry points (if use_pullback_entry is enabled). Visualized with a purple background.
Visualization:
Oscillator Panel: Displays the market state in a separate panel below the chart.
Background Color: The panel’s background color changes to reflect the current state (e.g., blue for Congestion, green for Breakout Up).
Histogram Plot: Optionally plots the state value as a histogram (e.g., 1 for Congestion, 2 for Breakout Up), toggleable via TradingView’s "Style" tab ("Market State"). The histogram provides a numerical representation of the state:
Congestion: 1.0
Breakout Up: 2.0
Breakdown: -2.0
Post-Congestion: 0.5
Pullback: 1.5
None: 0.0
Alerts:
Generates alerts for state changes (Congestion, Breakout Up, Breakdown).
Supports enhanced alerts (if use_enhanced_alerts is enabled), including additional context like breakout level, volatility state, and trend direction.
Includes an alert cooldown period (if use_alert_cooldown is enabled) to prevent excessive alerts.
Key Features and Filters
Customizable Parameters:
Lookback Period: Adjusts the number of bars used to calculate the price range for congestion detection.
Range Threshold: Sets the maximum price range (as a percentage of ATR) for a congestion zone.
Dynamic Threshold: Optionally uses a percentile-based dynamic threshold for more adaptive congestion detection.
Minimum Congestion Bars: Requires a minimum number of bars for a congestion zone to be confirmed.
Volume Filter: Optionally requires low volume during congestion zones.
Volume Breakout Filter: Requires a volume spike for breakouts/breakdowns.
Volatility Breakout Filter: Requires an ATR spike for breakouts/breakdowns.
Minimum Price Movement: Optionally requires a minimum price movement for breakouts/breakdowns.
RSI Filter: Optionally requires RSI to be in a neutral range during congestion.
Max Price Range Filter: Limits the absolute price range for congestion zones.
Trend Filter: Optionally filters breakouts/breakdowns based on a higher timeframe trend (using a moving average).
Momentum Filter: Optionally requires MACD momentum confirmation for breakouts/breakdowns.
Pullback Detection: Optionally detects pullbacks after breakouts/breakdowns for entry opportunities.
Timeframe Adjustment: Adjusts parameters based on the chart’s timeframe.
Auto-Settings: Automatically adjusts parameters based on market volatility.
Show Current Day Only: Optionally limits the indicator’s display to the current trading day (NSE session).
Presets: Offers predefined configurations (Default, Aggressive, Conservative) for quick setup.
Session Support: Operates within the NSE session (9:15 AM–3:30 PM IST) by default, ensuring relevance for Indian markets.
Visual Output
The oscillator panel uses color-coded backgrounds to indicate the market state:
Blue: Congestion
Green: Breakout Up
Red: Breakdown
Yellow: Post-Congestion
Purple: Pullback
Transparent (None): No state detected
The histogram plot (optional) provides a numerical representation of the state, which can be toggled on/off in TradingView’s settings.
Alerts
Alerts are triggered for significant state changes (Congestion, Breakout Up, Breakdown).
Enhanced alerts include additional details like price levels, volatility, and trend direction, making them more informative for traders.
Step 2: Craft the Description for Publishing
Based on the analysis, here’s a concise, user-friendly description you can use when publishing the indicator on TradingView:
Congestion Indicator - Oscillator by Saurabh Maggo
This indicator identifies market congestion zones, breakouts, breakdowns, post-congestion periods, and pullbacks in a separate oscillator panel below your chart. Designed for traders, it helps you spot key market states and potential trading opportunities with clear visual cues and customizable alerts.
Key Features:
Market States: Detects Congestion (Blue), Breakout Up (Green), Breakdown (Red), Post-Congestion (Yellow), and Pullbacks (Purple).
Visual Display: Shows market states using background colors in an oscillator panel, with an optional histogram plot (toggleable in settings).
Alerts: Generates alerts for state changes, with enhanced options to include price levels, volatility, and trend context.
Customizable Filters: Includes volume, volatility, RSI, trend, momentum, and price movement filters to refine signals.
Adaptable Settings: Supports dynamic thresholds, timeframe adjustments, auto-settings based on volatility, and predefined presets (Default, Aggressive, Conservative).
NSE Session: Optimized for Indian markets with a default session time of 9:15 AM–3:30 PM IST.
How can Grok help?
Golden Canyon Pace
📈 Indicator Name: Golden Canyon pace
Platform: Trading View'
Version: 1.0'
🔍 Overview:
This indicator is designed for traders who want to capture small but strategic Renko-based price movements. It focuses on short-term reversals or momentum shifts by analyzing recent Renko bar behavior, plotting 'Buy' and 'Sell' labels directly on the chart when specific conditions are met.
Unlike long-term trend indicators, this tool provides 'quick-entry insights' , ideal for scalpers, intraday traders, or those who want to catch micro-trends.
🧠 How It Works:
* The script checks for 'short-term reversal conditions' in the Renko structure:
* A 'Buy signal' is triggered when recent bars suggest a bullish reversal.
* A 'Sell' signal is triggered when recent bars indicate a bearish reversal.
* Signals are labeled directly on the chart with color-coded markers:
* 🟢 Buy = Green label with black text
* 🔴 Sell = Red label with black text
* The labels appear only when valid setups occur, helping you avoid unnecessary noise.
⚙️ Key Features:
* 'Renko-Based Signal Logic:' Designed to work best on charts using Renko or synthetic candle structures.
* 'Minimalistic Labels:' Only essential signals appear—no clutter.
* 'Unified Alert Condition:' You only need to set up 'one alert' on TradingView for both Buy and Sell signals. The alert will automatically notify you of either event.
* 'Customizable Colors:' Easily change background or label colors to match your chart setup.
* 'Works on All Timeframes:' But is most effective on time-compressed views or custom Renko timeframes.
📋 Instructions for Use:
1. 'Add the indicator' to your chart.
2. Adjust Renko settings (if applicable) to match your strategy.
3. Customize colors under the “Style” tab (default label text is black).
4. Set your alert:
* Right-click the chart → “Add Alert”
* Choose the alert condition: “functional calls”
* Select your preferred notification method (popup, email, webhook, etc.)
* Done! You’ll be alerted for either a Buy or Sell opportunity.
🚨 Alerts Setup (One Alert for Both Directions):
To streamline your workflow, this script includes 'one combined alert condition' that fires on either a Buy or Sell signal. This simplifies alert management and ensures you never miss a setup.
📌 Important Notes:
* This indicator is intended as a 'signal assistant', not a full trading strategy. Use it in combination with your own risk management and market context.
* Works best when used with 'non-time-based Renko charts' or synthetic candle setups that mimic clean price movement.
* You can further refine signals by combining this tool with trend filters or volume indicators.
💬 Support:
If you need help customizing the tool, understanding the signals, or integrating it into your strategy, feel free to reach out for assistance.
WX ZeroLoss|TP / SL 模組(單組自動刪除版)
📌 模組簡介:
WX ZeroLoss 是 Wallen 系列策略模組中第一個正式上架的版本,內建:
- 停利倍率控制(TP = RR × SL)
- 自動 ATR 計算停損距離
- 多單 / 空單的 TP / SL 畫線提示
- 多單 / 空單的浮標視覺提示
WX ZeroLoss is a visual indicator for managing TP and SL lines.
It shows one active pair of Take-Profit and Stop-Loss, including price lines and floating labels.
Only one latest signal is kept on chart.
Source code is protected.
Feedback welcome!
Hedge Lines {RumRunner}Lines for hedging. Semi customizable. Thick blue lines for entry and take profits and the dotted lines for adding hedge position. Its 10 pips away from the blue lines and allows for some wiggle room before you have to add the hedge in opposite direction.
TCP arsh setup candle finder by AidinA powerful tool to identify specific TCP-style bullish and bearish candles with advanced filtering options.
Supports body color filters, relative candle size, and multi-level moving average confirmations (MA1–MA4).
Custom alerts notify you when valid setups appear in recent candles.
Perfect for traders seeking cleaner entries with contextual trend validation.
DB1800 Gann Angle Levels Table (CMP Based)Gann Angles for Resistance and Support
2 = 360 degree for 1 month
1 = 180 degree for 1 week
0.5 = 90 degree for 1 to 2 days
0.25 = 45 degree for next day
0.125 = 22.5 degree for more granular than next day (scalping)
The only thing that multiplies when you share it is knowledge.
Inspired by Sudhir Sharma Sir
www.youtube.com
Turning Point RadarPrecision spotting of market pivots — simplified.
Turning Point Radar is designed to help traders identify high-probability reversal zones with clear visual markers. Originally crafted to trade Nifty on the 15-minute chart, this tool adapts beautifully across various instruments and timeframes — whether you're analyzing indices, equities, or commodities.
No clutter. No distractions. Just pure market signals — helping you focus on price action where it matters most.
This is a low probability and high risk:reward strategy.
🔵 Blue Triangle = highlight price reversals from deeply oversold conditions.
🔴 Red Triangle = potential short-term turning points from overextended zones.
✨ Try it on your favorite instrument and timeframe!
If this tool adds value to your trading, don’t forget to share your feedback and send some love ❤️ — your support inspires further innovation!
Vol > 1.3 × 50-DMA + Price DirectionThis custom script highlights high-energy sessions where volume is at least 1.3 × the 50-day volume moving average (50-DMA) and instantly tells you whether the market absorbed that participation on strength or weakness:
Green bars — Volume ≥ 1.3 × 50-DMA and Close > Open (bull-confirmed volume spike)
Red bars — Volume ≥ 1.3 × 50-DMA and Close < Open (bear-confirmed volume spike)
Gray bars — Volume below the 1.3-multiplier (normal activity)
An orange line plots the exact 1.3 × 50-DMA threshold so you can visually gauge how far each bar exceeds (or misses) the requirement.
Ikemba 200 EMA SignalThe best 200 EMA Indicator here. This indicator will notify you when to get in a trade. You will know when to Buy a Call or Put.
IDRISPAULThe script handles support/resistance detection, breakouts, and retest detection based on user-configurable inputs.
Uses pivot points and tracks potential vs confirmed retests.
Includes support for non-repainting logic via selectable options.
New Mindset BreakOutSideway is my way!! Stoploss First bro
This indicator is designed specifically for sideways or ranging market conditions. It combines the power of Bollinger Bands, momentum analysis, and EMA filters to identify high-probability reversal or breakout zones.
Bollinger Bands are used to detect volatility contractions and price extremes.
Momentum logic helps confirm whether price action is truly reversing or just retracing.
EMA filters ensure trades are aligned with the dominant short-term trend when appropriate.
This blend makes the indicator ideal for:
Detecting reversal setups during consolidation phases
Avoiding false signals in strong trending markets
Helping traders identify low-risk zones with clearly defined structure
You can apply this script across multiple timeframes and combine it with price action for more precise entries.
SHIVA ALGO 2.0Supertrend is a trend-following indicator based on Average True Range (ATR). The calculation of its single line combines trend detection and volatility. It can be used to detect changes in trend direction and to position stops. The basics
The Supertrend is a trend-following indicator. It is overlaid on the main chart and their plots indicate the current trend. A Supertrend can be used with varying periods (daily, weekly, intraday etc.) and on varying instruments (stocks, futures or forex).
The Supertrend has several inputs that you can adjust to match your trading strategy. Adjusting these settings allows you to make the indicator more or less sensitive to price changes.
For the Supertrend inputs, you can adjust atrLength and multiplier:
the atrLength setting is the lookback length for the ATR calculation;
multiplier is what the ATR is multiplied by to offset the bands from price.
What to look for
When the price falls below the indicator curve, it turns red and indicates a downtrend. Conversely, when the price rises above the curve, the indicator turns green and indicates an uptrend. After each close above or below Supertrend, a new trend appears.
Summary
The Supertrend helps you make the right trading decisions. However, there are times when it generates false signals. Therefore, it is best to use the right combination of several indicators. Like any other indicator, Supertrend works best when used with other indicators such as MACD, Parabolic SAR, or RSI.