Setup Venda EMA + RSI📌 Setup Summary
✅ Sell when:
🔻 The price is below the EMAs (9 and 20).
🔻 The price has pulled back to the EMAs before falling again.
🔻 The RSI is below 50 and falling.
🔻 The entry candle closes below the pullback's low.
📌 Stop Loss: Above the EMA 20 or the last high.
📌 Take Profit: At the next support or 1.5x to 2x the stop size.
Educational
Cycle Biologique Strategy // (\_/)
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//@fr33domz
Experimental Research: Cycle Biologique Strategy
Overview
The "Cycle Biologique Strategy" is an experimental trading algorithm designed to leverage periodic cycles in price movements by utilizing a sinusoidal function. This strategy aims to identify potential buy and sell signals based on the behavior of a custom-defined biological cycle.
Key Parameters
Cycle Length: This parameter defines the duration of the cycle, set by default to 30 periods. The user can adjust this value to optimize the strategy for different asset classes or market conditions.
Amplitude: The amplitude of the cycle influences the scale of the sinusoidal wave, allowing for customization in the sensitivity of buy and sell signals.
Offset: The offset parameter introduces phase shifts to the cycle, adjustable within a range of -360 to 360 degrees. This flexibility allows the strategy to align with various market rhythms.
Methodology
The core of the strategy lies in the calculation of a periodic cycle using a sinusoidal function.
Trading Signals
Buy Signal: A buy signal is generated when the cycle value crosses above zero, indicating a potential upward momentum.
Sell Signal: Conversely, a sell signal is triggered when the cycle value crosses below zero, suggesting a potential downtrend.
Execution
The strategy executes trades based on these signals:
Upon receiving a buy signal, the algorithm enters a long position.
When a sell signal occurs, the strategy closes the long position.
Visualization
To enhance user experience, the periodic cycle is plotted visually on the chart in blue, allowing traders to observe the cyclical nature of the strategy and its alignment with market movements.
Forex Sessions (IST Fixed)Forex Sessions Indicator
✔ Uses hour(time, "Asia/Kolkata") to detect session openings
✔ No timezone issues—works directly with IST
✔ Accurate vertical dotted lines & labels at the exact session start
✔ No unnecessary timestamp conversions—cleaner & faster
Support and Resistance with High Volume Candles + Touch Count# **Indicator Notes: S& R with High Volume Candles + Touch Count - Mehta-**
## **Overview**
This indicator identifies potential **support** and **resistance** levels based on **high-volume candles** and tracks the number of times price touches these levels within a user-defined lookback period.
### **Key Features:**
1. **High-Volume Candle Detection:**
- **Support** is identified from high-volume **green (bullish)** candles.
- **Resistance** is identified from high-volume **red (bearish)** candles.
2. **Touch Count:**
- Tracks how many times price revisits a support/resistance level within a specified lookback period.
- Helps assess the strength of a level (more touches may indicate stronger significance).
3. **Customizable Parameters:**
- **Period:** Adjusts the lookback for average volume calculation.
- **Volume Multiplier:** Sets the threshold for high-volume detection.
- **Touch Count Lookback:** Defines how many bars back to count touches.
- **Line Colors & Label Position:** Customize visual appearance.
## **How to Use**
- **Support/Resistance Breakouts:** Watch for price closing beyond these levels with confirmation.
- **Bounce Trading:** Look for reactions (bounces/rejections) near identified levels.
- **Touch Count Insight:** Higher touch counts may indicate stronger levels.
---
## **Disclaimer**
### **Risk Warning:**
Trading involves substantial risk and may not be suitable for all investors. The use of this indicator does not guarantee profits or eliminate risks associated with trading.
### **Limitations:**
1. **Historical Performance ≠ Future Results:** Past price behavior does not ensure future outcomes.
2. **False Signals:** The indicator may generate levels that do not hold.
3. **Market Conditions:** Works best in trending markets; may produce less reliable signals in choppy conditions.
### **Recommendations:**
- Use in conjunction with other technical analysis tools (e.g., trendlines, moving averages).
- Always apply proper risk management (stop-loss, position sizing).
- Test in a demo account before live trading.
### **No Financial Advice:**
This indicator is for educational purposes only and should not be considered financial advice. Consult a licensed financial advisor before making trading decisions.
DO NOT TRADE BASED ON THIS INDICATOR. TRADING IS A RISK PROCESS
Moving Average 50+200+365Moving Average 50+200+365
What Are the 50, 200, and 365 Moving Averages for CRYPTOCAP:BTC ?
A Moving Average (MA) smooths out price data over a specified number of periods to reveal trends by filtering out short-term noise. For Bitcoin, these periods (50, 200, and 365) are typically applied on a daily chart, meaning they represent 50 days, 200 days, and 365 days, respectively.
50-period MA: A medium-term indicator, covering about 1.5–2 months (50 trading days), used to identify shorter-term trends in Bitcoin’s price.
200-period MA: A long-term indicator, spanning roughly 9–10 months (200 trading days), widely used to gauge Bitcoin’s overall trend.
365-period MA: A very long-term indicator, covering a full year (365 days), often used to assess multi-year trends or significant support/resistance levels in Bitcoin’s market cycles.
Support Resistance + TrendlinesThe indicator combines two powerful technical analysis concepts:
Dynamic Trendlines - Automatically draws trendlines based on pivot highs and lows, detecting when price crosses these lines.
Support and Resistance Levels - Identifies horizontal S/R zones based on pivot points that occur in channels of similar price levels.
This creates a comprehensive view of market structure that can be leveraged for trading decisions.
Strategy Overview
I've developed a trading strategy that capitalizes on the signals generated by both trendline breakouts and support/resistance level violations. The strategy includes:
Signal Generation
Trendline Breakouts
Long signals when price crosses above a downtrend line
Short signals when price crosses below an uptrend line
Support/Resistance Breakouts
Long signals when price breaks above a resistance level
Short signals when price breaks below a support level
Risk Management Features
ATR-Based Stop Loss and Take Profit
Dynamic SL/TP levels that adjust to market volatility
Customizable ATR multipliers for both TP and SL
Signal Filters
Confirmation Period
Requires signals to remain valid for a configurable number of candles
Reduces false breakouts by waiting for confirmation
Volume Filter
Ensures breakouts are accompanied by above-average volume
Volume threshold is adjustable
RSI Filter
Prevents buying in overbought conditions
Prevents shorting in oversold conditions
Visual Feedback
Dashboard showing current market conditions
Clear entry signals with shapes
SL/TP levels displayed on chart for active positions
How the Strategy Works
Signal Detection
The strategy monitors for trendline crossovers and S/R level breaks
When detected, it starts a confirmation countdown
Confirmation Process
Instead of entering immediately, it waits for the specified number of confirmation candles
This helps filter out false breakouts
Filter Application
Before entry, it checks if volume and RSI conditions are satisfied
You can enable/disable these filters based on your trading preferences
Entry and Exit Management
Once all conditions are met, the strategy enters a position
Simultaneously sets take profit and stop loss orders based on ATR
Gold Futures vs Spot (Candlestick + Line Overlay)📝 Script Description: Gold Futures vs Spot
This script was developed to compare the price movements between Gold Futures and Spot Gold within a specific time frame. The primary goals of this script are:
To analyze the price spread between Gold Futures and Spot
To identify potential arbitrage opportunities caused by price discrepancies
To assist in decision-making and enhance the accuracy of gold market analysis
🔧 Key Features:
Fetches price data from both Spot and Futures markets (from APIs or chart sources)
Converts and aligns data for direct comparison
Calculates the price spread (Futures - Spot)
Visualizes the spread over time or exports the data for further analysis
📅 Date Created:
🧠 Additional Notes:
This script is ideal for investors, gold traders, or analysts who want to understand the relationship between the Futures and Spot markets—especially during periods of high volatility. Unusual spreads may signal shifts in market sentiment or the actions of institutional players.
[MACD] Blue & Red Candles🚀 Title :
✔️ Smart candlestick color indicator
🚀 Description :
✔️ Enhance your chart analysis with this dynamic candlestick color indicator
✔️ Designed to help traders quickly identify market trends with intuitive visual cues
🚀 Features :
✔️ Automatically adjusts candlestick colors based on market conditions
✔️ Helps traders spot potential shifts in momentum
✔️ Simple , clean, and effective for all trading strategies
🚀 Try it now and take your trading to the next level 🚀
BTC SignalsUsing the breakout of 5:30 PM or AM I am looking for the following:
For buy:
Price should close above the ORB.
Next candle should break the high of the previous
Signal filter should be Green for a valid trade.
Stoploss if any candle closes below the ORB range
Partial Take Profit at 500 points from buy
For sell:
Price should close below the ORB.
Next candle should break the low of the previous
Signal filter should be Red for a valid trade.
Stoploss if any candle closes above the ORB range
Partial Take Profit at 500 points from sell
All values are user customizable, so if you want 200 pts profit or 1000 pts profit you can do it accordingly.
Alert functions: Buy, Sell, Take profit, SL alerts are available. You can use them to send a message to yourself or automate the entire process like how I have done.
BTC SCALPERS By Anup## *BTC Scalper by Anup – Precision Trading for BTC Scalpers*
🔹 *BTC Scalper by Anup* is a high-accuracy scalping indicator designed specifically for Bitcoin traders. This tool combines multiple confirmations to ensure precise entry and exit points, reducing false signals and improving profitability.
### *🚀 Key Features:*
✅ *EMA Crossover Strategy* – Uses * TWO EMA* to identify trend reversals.
✅ *ATR Volatility Filter* – Ensures trades are executed only in high-volatility conditions.
✅ *RSI Confirmation* – Prevents overbought/oversold entries by confirming trend strength.
✅ *Stochastic Momentum Check* – Filters weak signals and confirms valid trade setups.
✅ *Buy & Sell Signals By arrow* – Clearly marked entries and exits for easy decision-making.
### *📈 How It Works:*
📌 *BUY Signal* – When the *EMA to EMA crosses up*, ATR confirms volatility, RSI is above 50, and Stochastic shows momentum.
📌 *SELL Signal* – When the *EMA to ema crosses down*, ATR confirms volatility, RSI is below 50, and Stochastic indicates bearish momentum.
🚀 Perfect for *scalpers and day traders* looking for *fast & reliable trade signals* on BTC only!
📍 *Timeframe Recommendation:* Best suited for *M5 to M15 charts* for short-term trades.
🔔 *Try BTC Scalper by Anup and take your BTC trading to the next level!*
M.G.O Receptor RSIIt is possible to conclude that the Primary RSI is responsible for inserting each block of information in the field represented by the Cartesian scale of the price and time forces, thus complying with its ordinary programming of information organization.
The equation;
1
f = ----
P
It says that the frequency is inversely proportional to the period.
Considering the idea that oscillatory waves (line graph) are the ex-pressure of what occurs in the MGO (on graph matrix), it is correct to state that the wave events of a common periodic wave can be easily reproduced in the M.G.O proposal, because the blocks are events (f) separated and organized by the time force (P).
Notice that the "NODE" or on the other hand the BLOCK that forms the M.G.O. are the same phenomena when transmuted to the conception of idea, waves.
My diligence is to show you that the G.M.O. is expressed graphically in accordance with already known physical guidelines.
So it is correct to say that just as in physics an oscillatory wave event or events that remedy the name of frequency is thus separated by another force, that is, the period in which we understand that the tool that separates and organizes the oscillation events when it was standardized by Wilder in model 14 as prototyping of action within the RSI. This mathematical indicator is intended to demonstrate by capturing through the precise calculations of the averages using the following mathematical formula; average of n positive time-frames RS = --------------------------------------------- average of n negative time-frames So it is thus defined that the period is the RSI tool/programming acting in the organization of the blocks that make up the ON - MGO graphic matrix.
Bank/Psychological Levels by TBTPHPine Script code creates an indicator for plotting bank/psychological levels, which are typically round numbers like 100, 1000, etc. This is useful in technical analysis, as traders often watch these levels. Here's a quick breakdown of how the script works:
Key Features:
Bank Level Multiplier:
This controls the spacing between the levels. For example, if set to 100, the levels plotted will be multiples of 100 (100, 200, 300, etc.), and if set to 1000, they will be multiples of 1000.
Highlight Color:
This sets the color of the horizontal lines representing the bank levels (dotted lines).
Label Background and Text Colors:
These inputs control the appearance of the labels showing the exact values at each bank level.
Bank Level Calculation:
The function isBankLevel(price) checks if the price is exactly a bank level.
baseLevel is calculated based on the current closing price (close), rounded to the nearest bank level.
Level Range:
This defines how many levels above and below the current price will be plotted, allowing the user to visualize a range of relevant levels.
Plotting Levels:
The loop for i = -bankLevelRange to bankLevelRange iterates through a range of levels, plotting horizontal dotted lines and placing labels at each level.
Triple Lookback Key Levels with SMCA new update GROK added SMC, im just learning SMC.I can see that its showing OB and giving a green up triangle,as with my other indicators they are for educational purposes so now we have live chart action to help learn SMC making 1 minute timeframe fun .
El Inversor de TikTokThis indicator combines RSI and Stochastic to provide more precise signals on overbought and oversold market conditions. The additional smoothing implementation helps reduce noise and improve signal reliability.
Features:
Configurable RSI to adjust the indicator’s sensitivity.
Stochastic calculation based on RSI to better detect momentum changes.
Smoothing of %K and %D lines to avoid erratic signals.
Reference levels at 85 and 15 to identify extreme overbought and oversold zones.
Usage Strategy:
A buy signal is generated when the %K line crosses above the 20 level, indicating a potential upward reversal.
Divergences between price and the indicator can be identified to anticipate trend changes with greater accuracy.
This indicator is useful for traders looking to optimize their entry and exit points with more detailed technical analysis.
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Este indicador combina el RSI y el Estocástico para proporcionar señales más precisas sobre las condiciones de sobrecompra y sobreventa en el mercado. La implementación de un suavizado adicional permite reducir el ruido y mejorar la fiabilidad de las señales.
Características:
- RSI configurable para ajustar la sensibilidad del indicador.
- Cálculo del Estocástico basado en el RSI para detectar mejor los cambios en el impulso del precio.
- Suavizado de las líneas %K y %D para evitar señales erráticas.
- Niveles de referencia en 85 y 15 para identificar zonas extremas de sobrecompra y sobreventa.
Estrategia de uso:
- Una señal de compra se genera cuando la línea %K cruza el nivel 20 hacia arriba, lo que indica una posible reversión al alza.
- Se pueden identificar divergencias entre el precio y el indicador para anticipar cambios de tendencia con mayor precisión.
Este indicador es útil para operadores que buscan optimizar sus puntos de entrada y salida con un análisis técnico más detallado.
MACD Boundary PSA - CoffeeKillerMACD Boundary PSA - CoffeeKiller Indicator Guide
Welcome traders! This guide will walk you through the MACD Boundary PSA indicator, a powerful market analysis tool developed by CoffeeKiller that enhances the traditional MACD with advanced boundary detection and peak signaling features.
🔔 **Warning: This Indicator Has No Signal Line or MACD Line** 🔔 This indicator is my version of the MACD, that I use in conjunction with the Rev&Line indicator.
Core Concept: Enhanced MACD Analysis
The foundation of this indicator builds upon the classic Moving Average Convergence Divergence (MACD) indicator, adding boundary tracking and peak detection systems to provide clearer signals and market insights.
Histogram Bars: Market Momentum
- Positive Green Bars: Bullish momentum
- Negative Red Bars: Bearish momentum
- Color intensity varies based on momentum strength
- Special coloring for new high/low boundaries
Marker Lines: Dynamic Support/Resistance
- High Marker Line (Magenta): Tracks the highest point reached during a bullish phase
- Low Marker Line (Cyan): Tracks the lowest point reached during a bearish phase
- Acts as dynamic boundaries that help identify strength of current moves
Peak Detection System:
- Triangular markers identify significant local maxima and minima
- Background highlighting shows important momentum peaks
- Helps identify potential reversal points and momentum exhaustion
Core Components
1. MACD Calculation
- Customizable fast and slow moving averages
- Signal line smoothing options
- Flexible MA type selection (SMA or EMA)
- Custom source input options
2. Boundary Tracking System
- Automatic detection of highest values in bullish phases
- Automatic detection of lowest values in bearish phases
- Step-line visualization of boundaries
- Color-coded for easy identification
3. Peak Detection System
- Identification of local maxima and minima
- Background highlighting of significant peaks
- Triangle markers for peak visualization
- Zero-line cross detection for trend changes
4. Time Resolution Control
- Normal mode: calculations based on chart timeframe
- Custom resolution mode: calculations based on specified timeframe
Main Features
Time Resolution Settings
- Normal mode: calculations match your chart's timeframe
- Custom resolution mode: calculations based on specified timeframe
- Helps identify stronger signals from other timeframes
Visual Elements
- Color-coded histogram bars
- Dynamic marker lines for boundaries
- Peak triangles for significant turning points
- Background highlighting for peak identification
Signal Generation
- Zero-line crosses for trend change signals
- Boundary breaks for momentum strength
- Peak formation for potential reversals
- Color changes for momentum direction
Customization Options
- MA types and lengths
- Signal smoothing
- Color schemes
- Marker line visibility
- Peak background display options
Trading Applications
1. Trend Identification
- Histogram crossing above zero: bullish trend beginning
- Histogram crossing below zero: bearish trend beginning
- Histogram color: indicates momentum direction
- Consistent color intensity: trend strength
2. Reversal Detection
- Peak triangles after extended trend: potential exhaustion
- Background highlighting: significant reversal points
- Histogram approaching marker lines: potential trend change
- Color shifts from bright to muted: decreasing momentum
3. Momentum Analysis
- Histogram breaking above previous high boundary: accelerating bullish momentum
- Histogram breaking below previous low boundary: accelerating bearish momentum
- Special coloring (magenta/cyan): boundary breaks indicating strength
- Distance from zero line: overall momentum magnitude
4. Market Structure Assessment
- Consecutive higher peaks: strengthening bullish structure
- Consecutive lower troughs: strengthening bearish structure
- Peak comparisons: relative strength of momentum phases
- Boundary line steps: market structure levels
Optimization Guide
1. MACD Settings
- Fast Length: Shorter values (8-12) for responsiveness, longer values (20+) for smoother signals
- Slow Length: Shorter values (21-34) for more signals, longer values (72+) for major moves
- Default settings (22, 72, 9): balanced approach for most timeframes
- Consider using 8, 21, 5 for shorter timeframes and 34, 144, 5 for longer timeframes
2. MA Type Selection
- EMA: More responsive, follows price more closely
- SMA: Smoother, fewer false signals, potentially more lag
- Mix and match for oscillator and signal lines based on your preference
3. Time Resolution
- Match chart timeframe: for aligned analysis
- Use higher timeframe: for filtering signals
- Lower timeframe: for earlier entries but more noise
4. Color Customization
- Normal bullish/bearish colors: represent standard momentum
- High/low marker line colors: customize visibility
- Peak marker colors: adjust for your visual preference
- Consider chart background when selecting colors
Best Practices
1. Signal Confirmation
- Wait for zero-line crosses to confirm trend changes
- Look for peak formations to identify potential reversals
- Check for boundary breaks to confirm strong momentum
- Use custom timeframe option for higher timeframe confirmation
2. Timeframe Selection
- Lower timeframes: more signals, potential noise
- Higher timeframes: cleaner signals, less frequent
- Custom resolution: allows comparison across timeframes
- Consider using multiple timeframes for confirmation
3. Market Context
- Strong bullish phase: positive histogram breaking above marker line
- Strong bearish phase: negative histogram breaking below marker line
- Histogram approaching zero: potential trend change
- Peak formations: potential exhaustion points
4. Combining with Other Indicators
- Use with trend indicators for confirmation
- Pair with oscillators for overbought/oversold conditions
- Combine with volume analysis for validation
- Consider support/resistance levels with boundary lines
Advanced Trading Strategies
1. Boundary Break Strategy
- Enter long when histogram breaks above previous high marker line
- Enter short when histogram breaks below previous low marker line
- Use zero-line as initial stop-loss reference
- Take profits at formation of opposing peaks
2. Peak Trading Strategy
- Identify significant peaks with triangular markers
- Look for consecutive lower peaks in bullish phases for shorting opportunities
- Look for consecutive higher troughs in bearish phases for buying opportunities
- Use zero-line crosses as confirmation
3. Multi-Timeframe Strategy
- Use custom resolution for higher timeframe MACD trend
- Enter trades when both timeframes align
- Higher timeframe for trend direction
- Chart timeframe for precise entry
4. Histogram Color Strategy
- Enter long when histogram turns bright green (increasing momentum)
- Enter short when histogram turns bright red (increasing momentum)
- Exit when color intensity fades (decreasing momentum)
- Use marker lines as dynamic support/resistance
Practical Analysis Examples
Bullish Market Scenario
- Histogram crosses above zero line
- Green bars grow in height and intensity
- High marker line forms steps upward
- Peak triangles appear at local maxima
- Background highlights appear at significant momentum peaks
Bearish Market Scenario
- Histogram crosses below zero line
- Red bars grow in depth and intensity
- Low marker line forms steps downward
- Peak triangles appear at local minima
- Background highlights appear at significant momentum troughs
Consolidation Scenario
- Histogram oscillates around zero line
- Bar colors alternate frequently
- Marker lines remain relatively flat
- Few or no new peak highlights appear
- Histogram values remain small
Understanding Market Dynamics Through MACD Boundary PSA
At its core, this indicator provides a unique lens to visualize market momentum and boundaries:
1. Momentum Strength: The histogram height/depth shows the strength of current momentum, with color intensity providing additional context about acceleration or deceleration.
2. Dynamic Boundaries: The marker lines create a visual representation of the "high water marks" of momentum in both directions, helping to identify when markets are making new momentum extremes.
3. Exhaustion Signals: The peak detection system highlights moments where momentum has reached a local maximum or minimum, often precursors to reversals or consolidations.
4. Trend Confirmation: The histogram color and intensity provide instant feedback about the current trend direction and strength, with special colors highlighting particularly significant moves.
Remember:
- Combine signals from histogram, marker lines, and peak formations
- Use appropriate timeframe settings for your trading style
- Customize the indicator to match your visual preferences
- Consider market conditions and correlate with price action
This indicator works best when:
- Used as part of a comprehensive trading system
- Combined with proper risk management
- Applied with an understanding of current market conditions
- Signals are confirmed by price action and other indicators
**DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.
NQ-VXN Scalping Signals with S/R BreakoutsThis monitors support and resistance along with VXN to find quality, high probability trades at key levels.
STH Unrealized Profit/Loss Ratio (STH-NUPL) | [DeV]STH-NUPL
The Short-Term Holder Net Unrealized Profit/Loss Ratio (STH-NUPL) is an analytical tool designed to approximate the unrealized profit or loss of Bitcoin’s short-term holders (STHs)—typically those holding coins for less than 155 days—within the constraints of TradingView’s price-based environment. Drawing inspiration from the canonical STH-NUPL metric, which assesses the difference between the market value and realized value of STH-held coins, this indicator adapts the concept into a normalized ratio using Bitcoin’s price data as a proxy. It offers a window into the sentiment and behavior of short-term market participants, who are often more sensitive to price fluctuations than long-term holders.
In its raw form, STH-NUPL oscillates around a break-even threshold of 0, where positive values indicate aggregate unrealized profits for STHs (market value exceeds realized value), and negative values suggest losses. This inflection point frequently acts as a key level: in bear markets, it can signal capitulation as STHs sell at break-even or below, while in bull markets, it may reflect reluctance to realize losses, providing support. The indicator enhances this metric with smoothing, a moving average overlay, and sophisticated visualization options, delivering a statistically informed perspective on short-term holder dynamics tailored for institutional-grade analysis.
STH-NUPL Settings -
Lookback Length (Default: 150 days): Defines the SMA period for estimating realized value. This 150-day window aligns with traditional STH definitions (e.g., <155 days), capturing a broad yet relevant historical cost basis for short-term holders, ideal for assessing cyclical behavior.
Smoothing Period (Default: 5 days): Applies an EMA to the raw STH-NUPL ratio, with a short default period to maintain responsiveness to recent price shifts while filtering out daily volatility. This setting is particularly suited for tactical analysis.
Moving Average Settings -
MA Lookback Length (Default: 90 days): Sets the period for the STH-NUPL’s moving average, offering a medium-term trend signal that contrasts with the 150-day lookback, enabling detection of momentum shifts within broader market phases.
MA Type (Default: EMA): Provides six moving average types, from the straightforward SMA to the volume-sensitive VWMA. The default EMA balances smoothness and reactivity, while options like HMA or VWMA cater to specialized needs, such as emphasizing recent action or volume trends.
Display Settings -
Show Moving Average (Default: True): Toggles the visibility of the STH-NUPL MA plot, allowing users to focus solely on the smoothed ratio when desired.
Show Background Colors (Default: True): Activates dynamic background shading to visually reinforce market regimes.
Background Color Source (Default: STH-NUPL): Enables users to tie the background to either the STH-NUPL’s midline (reflecting sthNupl > 0) or the MA’s trend direction (maNupl > maNupl ), aligning the visual context with the chosen analytical focus.
Analytical Applications -
Bear Market Capitulation: When the smoothed STH-NUPL approaches or falls below zero, it often signals loss realization among STHs, a precursor to capitulation in downtrends. A declining MA crossing zero can confirm this selling pressure.
Bull Market Support: Positive STH-NUPL values with a rising MA indicate STHs are in profit and reluctant to sell at a loss, forming support zones in uptrends as sell pressure wanes.
Sentiment Extremes: Significant deviations above or below zero highlight over-optimism or despair among STHs, offering contrarian opportunities when paired with price action or other on-chain metrics.
**Limitations**
As a TradingView-based approximation, this indicator uses price data (close) rather than true on-chain STH supply and realized price, which are available through providers like Glassnode. The 150-day SMA for realized value simplifies the cost basis, potentially underrepresenting the diversity of STH transactions. Despite this, the smoothed ratio and moving average overlay provide a practical proxy for tracking STH sentiment within TradingView’s ecosystem.
Stop Loss / Take Profit Table// (\_/)
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📈 Introducing the Stop Loss / Take Profit Table Indicator! 📈
Enhance your trading strategy with our powerful Stop Loss / Take Profit Table indicator, designed for traders in the Crypto, Stock, and Forex markets. This easy-to-use tool helps you manage risk and maximize profits by clearly displaying your Stop Loss and Take Profit levels based on your trading position.
Key Features:
Custom Asset Types: Choose between Crypto, Stock, or Forex to tailor the indicator to your specific trading style.
Dynamic Stop Loss & Take Profit Calculation: Set your desired Stop Loss percentage, and the indicator will automatically calculate your Stop Loss and two Take Profit levels based on different timeframes (1 min to 240 min).
Position Type Flexibility: Whether you're trading Long or Short, the indicator adjusts the calculations accordingly, providing you with precise price levels for effective risk management.
Visual Representation: Stop Loss and Take Profit levels are marked directly on the chart with distinctive horizontal lines in vibrant colors for easy reference.
Informative Table Display: A dedicated table displayed on the chart shows your asset type, position type, and calculated prices for Stop Loss and Take Profit levels, ensuring you have all critical data at a glance.
Alert Notifications: Stay informed with optional alerts that signal when your Stop Loss or Take Profit levels are hit, allowing you to react swiftly in fast-moving markets.
Why Use This Indicator?
Managing your trades is critical for success in the financial markets. With our Stop Loss / Take Profit Table, you can easily set your parameters and visually track your risk and reward levels, making it a practical addition to any trader's toolkit.
Get started today and take control of your trading strategy! ✨
Happy trading! 📊🚀
M.G.O Receptor RSIThis indicator adds to the traditional RSI two fields that make overprices areas of accumulation and distribution.
It is used together with the M.G.O (Matrix ON Charts) methodology as a signal receiver for the trader to make the decision to buy or sell after periodic wave analysis on the main chart.
