Neural Network Showcase | Alien_Algorithms V6Description of the Pine Script Neural Network Code (Version 6)
This script demonstrates the use of a simple neural network within Pine Script, showcasing concepts like weight initialization, feedforward, backpropagation, and loss curve visualization. It is intended for educational purposes and applies neural network logic to financial time-series data based on the originality of Alien_Algorithms.
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Hossa Nostra 4mode indicatorIndicator contains 4 Modes
Each mode refer to different style of using MA 50 , 200 , RSI from different timeframes
combinig into indicator , that will help you to define change of market direction ,
indicator it self cant be used without confirmations .
Custom Moving Average Indicator with Additional LevelsExplanation of the "Custom Moving Average Indicator with Additional Levels"
This indicator is designed for traders who want to analyze price movements and identify potential support and resistance levels effectively. It uses multiple moving averages (MAs) to help visualize trends and market structure.
Key Features
Multiple Moving Averages:
The indicator calculates several simple moving averages (SMA) for various periods: 4, 18, 66, 89, 632, 1000, 1500, 2000, and 3000. Each of these MAs provides insights into different timeframes, allowing traders to understand both short-term and long-term market trends.
Shifted MA:
The 4-period MA (MA4) is shifted for a better visual representation of past price action in relation to the most recent price. This can provide insight into possible market reversals or continuations.
Dynamic Color Coding:
The indicator utilizes dynamic colors to indicate the relationship between the price and each moving average. If the closing price is above a moving average, it is colored green (indicating support); if below, it is colored red (indicating resistance). This immediate visual cue helps traders quickly assess market conditions.
Plotting Moving Averages:
The moving averages are plotted on the chart with distinguishable colors and line widths, making it easy to observe their interactions with price.
How to Use the Indicator
Identifying Trends:
Use the moving averages to determine the overall trend. If short-term averages (like MA4 and MA18) are above long-term averages (like MA2000 or MA3000), it suggests a bullish trend and vice versa for bearish trends.
Support and Resistance Levels:
The moving averages act as support and resistance levels. Price often tends to bounce off these levels. For instance, if the price approaches MA66 and holds above it, this may indicate a support level.
Trading Signals:
Look for crossover events; when a shorter-term moving average crosses above a longer-term moving average, it can signify a buy signal, and a cross below may signal a sell opportunity.
Visual Analysis:
Utilize the color-coded features of the moving averages for quick analysis. Green colors indicate potential support, while red colors highlight areas of resistance. This will help in making informed trading decisions.
Combining with Other Tools:
While this indicator is powerful on its own, consider combining it with other technical analysis tools (such as RSI or MACD) for a more comprehensive trading strategy.
Conclusion
This "Custom Moving Average Indicator with Additional Levels" provides a robust framework for traders to analyze price movements and identify key support and resistance levels. By utilizing simple moving averages and dynamic color coding, traders can streamline their decision-making process and enhance their overall trading strategies.
Feel free to edit or adjust this explanation as needed before publishing it!
Korkusuz V4.0 Precision Strategy (Invite-Only)Korkusuz V4.0 Precision Strategy is a closed-source, invite-only script designed for traders seeking precise and adaptive market entry and exit signals. Unlike simple mashups of indicators, this strategy combines RSI, MACD, and Bollinger Bands into a coherent framework tailored to diverse market conditions.
Key Components and Logic:
RSI (Relative Strength Index): Avoids entering trades in overbought/oversold zones by filtering out extreme price conditions.
MACD (Moving Average Convergence Divergence): Confirms trend direction and momentum to ensure alignment with the prevailing market trend.
Bollinger Bands: Adapts entry and exit thresholds to market volatility, making the strategy effective in both trending and ranging markets.
The strategy dynamically weighs each indicator's signal based on the current market state. For instance, a long position requires RSI to indicate no overbought conditions, MACD to confirm bullish momentum, and the price to break above a key Bollinger Band threshold. This synergy reduces noise and focuses on high-quality trade setups.
Backtesting Parameters:
Initial Capital: $10,000
Commission: 0.1% per trade
Slippage: 0.5%
Risk Management: The script is calibrated to risk no more than 2% of equity per trade, ensuring sustainable trading practices.
Trade Frequency: Backtested across a sufficiently large dataset, producing more than 100 trades in most cases. For symbols or timeframes with fewer trades, the strategy prioritizes signal quality over quantity.
These realistic assumptions ensure that backtest results are reliable and not misleading. However, past performance does not guarantee future results.
Chart Presentation:
The script is displayed on a clean chart to enhance readability and ensure users can easily identify signals. Any drawings or annotations included are explicitly intended to illustrate the strategy’s functionality.
Uniqueness and Value:
While using well-known indicators, this strategy distinguishes itself through its unique integration logic, filtering mechanisms, and dynamic adaptation to market conditions. It provides an edge to traders by combining these components in a way that minimizes false signals and maximizes opportunity.
Author’s Instructions:
To request access:
Send me a private message on TradingView with your username.
Briefly explain why you are interested in this strategy and how you plan to use it.
If approved, access will be granted. Without explicit approval, the script cannot be accessed
Mean Reversion Strategy//@version=5
strategy("Mean Reversion Strategy", overlay=true)
// User Inputs
length = input.int(20, title="SMA Length") // Moving Average length
stdDev = input.float(2.0, title="Standard Deviation Multiplier") // Bollinger Band deviation
rsiLength = input.int(14, title="RSI Length") // RSI calculation length
rsiOverbought = input.int(70, title="RSI Overbought Level") // RSI overbought threshold
rsiOversold = input.int(30, title="RSI Oversold Level") // RSI oversold threshold
// Bollinger Bands
sma = ta.sma(close, length) // Calculate the SMA
stdDevValue = ta.stdev(close, length) // Calculate Standard Deviation
upperBand = sma + stdDev * stdDevValue // Upper Bollinger Band
lowerBand = sma - stdDev * stdDevValue // Lower Bollinger Band
// RSI
rsi = ta.rsi(close, rsiLength) // Calculate RSI
// Plot Bollinger Bands
plot(sma, color=color.orange, title="SMA") // Plot SMA
plot(upperBand, color=color.red, title="Upper Bollinger Band") // Plot Upper Band
plot(lowerBand, color=color.green, title="Lower Bollinger Band") // Plot Lower Band
// Plot RSI Levels (Optional)
hline(rsiOverbought, "Overbought Level", color=color.red, linestyle=hline.style_dotted)
hline(rsiOversold, "Oversold Level", color=color.green, linestyle=hline.style_dotted)
// Buy and Sell Conditions
buyCondition = (close < lowerBand) and (rsi < rsiOversold) // Price below Lower Band and RSI Oversold
sellCondition = (close > upperBand) and (rsi > rsiOverbought) // Price above Upper Band and RSI Overbought
// Execute Strategy
if (buyCondition)
strategy.entry("Buy", strategy.long)
if (sellCondition)
strategy.entry("Sell", strategy.short)
// Optional: Plot Buy/Sell Signals
plotshape(series=buyCondition, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal")
plotshape(series=sellCondition, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal")
Support/Resistance
Custom Moving Average Indicator with MACD, RSI, and Support/Resistance
This indicator is designed to help traders make informed trading decisions by integrating several technical indicators, including moving averages, the Relative Strength Index (RSI), and the Moving Average Convergence Divergence (MACD).
Key Features:
Moving Averages:
This indicator uses simple moving averages (SMAs) for several periods (4, 18, 66, 89, 632, 1000, 1500, 2000, and 3000 bars). This helps to identify the overall trend of the price and potential support and resistance levels.
The color of each moving average line is dynamically changed based on the closing price's position relative to the average; it turns red if the price is above the average and green if the price is below.
Relative Strength Index (RSI):
The RSI is calculated for a 14-bar period, which is a measure of overbought or oversold conditions.
An RSI value above 70 indicates an overbought condition, while a value below 30 indicates an oversold condition.
MACD:
The MACD is calculated using a fast length of 12, a slow length of 26, and a signal length of 9. Crossovers between the MACD line and the signal line indicate momentum shifts.
A crossover of the MACD line above the signal line suggests a potential buy signal, while a crossover below indicates a potential sell signal.
Buy and Sell Signals:
Buy Signal: Triggered when the MACD line crosses above the signal line, the RSI is below 30, the MACD is above 0, and there is high volume.
Sell Signal: Triggered when the MACD line crosses below the signal line, the RSI is above 70, the MACD is below 0, and there is high volume.
Alerts:
The indicator includes alerts that are triggered when buy and sell signals occur, helping traders respond quickly to market opportunities.
How to Trade Using the Indicator (continued):
Trading on Buy Signals:
Look for buy signals when the MACD line crosses above the signal line. Ensure that the RSI is below 30, indicating there is a potential for price recovery from an oversold condition.
Confirm that the volume is above the average, which indicates strong market participation and adds validity to the trade.
Trading on Sell Signals:
Search for sell signals when the MACD line crosses below the signal line. Check that the RSI is above 70 to confirm an overbought condition, implying the price may decline.
As with buy signals, ensure that volume is high to validate the strength of the sell signal.
Risk Management:
Use stop-loss orders to protect your capital. Establish an initial loss threshold based on your risk management strategy.
Continuously monitor the market and new signals and adjust your approach according to your market analysis.
Conclusion:
This combined indicator helps traders make informed decisions by relying on a set of technical tools. To achieve the best results, ensure you integrate the analysis from these indicators with your trading strategies and other techniques.
Feel free to use this explanation as an introduction or guide to inform traders on how to effectively use the indicator. If you have any more questions or need further details, don't hesitate to ask!
Adaptive VWAP Bands with Garman Klass VolatilityThis strategy utilizes the volume weighted average price, adjusted by volatility. Standard deviation bands are applied to the MA, if price closes above 1STD this indicates a bullish trend and the strategy goes long. If a close below 1STD the long is closed.
The standard deviation bands are adjusted by volatility using the Garman-Klass volatility formula: portfolioslab.com
The assumption is the more volatile an asset the less price is being accepted in a certain price range and thus the threshold to go long or close a long increases. In the inverse, the less volatile an asset is the more it's being accepted, then the threshold for a bullish breakout is lowered.
lib_divergenceLibrary "lib_divergence"
offers a commonly usable function to detect divergences. This will take the default RSI or other symbols / indicators / oscillators as source data.
divergence(osc, pivot_left_bars, pivot_right_bars, div_min_range, div_max_range, ref_low, ref_high, min_divergence_offset_fraction, min_divergence_offset_dev_len, min_divergence_offset_atr_mul)
Detects Divergences between Price and Oscillator action. For bullish divergences, look at trend lines between lows. For bearish divergences, look at trend lines between highs. (strong) oscillator trending, price opposing it | (medium) oscillator trending, price trend flat | (weak) price opposite trending, oscillator trend flat | (hidden) price trending, oscillator opposing it. Pivot detection is only properly done in oscillator data, reference price data is only compared at the oscillator pivot (speed optimization)
Parameters:
osc (float) : (series float) oscillator data (can be anything, even another instrument price)
pivot_left_bars (simple int) : (simple int) optional number of bars left of a confirmed pivot point, confirming it is the highest/lowest in the range before and up to the pivot (default: 5)
pivot_right_bars (simple int) : (simple int) optional number of bars right of a confirmed pivot point, confirming it is the highest/lowest in the range from and after the pivot (default: 5)
div_min_range (simple int) : (simple int) optional minimum distance to the pivot point creating a divergence (default: 5)
div_max_range (simple int) : (simple int) optional maximum amount of bars in a divergence (default: 50)
ref_low (float) : (series float) optional reference range to compare the oscillator pivot points to. (default: low)
ref_high (float) : (series float) optional reference range to compare the oscillator pivot points to. (default: high)
min_divergence_offset_fraction (simple float) : (simple float) optional scaling factor for the offset zone (xDeviation) around the last oscillator H/L detecting following equal H/Ls (default: 0.01)
min_divergence_offset_dev_len (simple int) : (simple int) optional lookback distance for the deviation detection for the offset zone around the last oscillator H/L detecting following equal H/Ls. Used as well for the ATR that does the equal H/L detection for the reference price. (default: 14)
min_divergence_offset_atr_mul (simple float) : (simple float) optional scaling factor for the offset zone (xATR) around the last price H/L detecting following equal H/Ls (default: 1)
@return A tuple of deviation flags.
Daily MA Crossover SignalsI created a script that allows you to show up to 3 daily MA's and the crossovers. It's highly configurable. Hope you enjoy it!
I did try to make it multi-timeframe, but for some reason I didn't manage to get that work
MoneyMint -MarketSmith Indicatorbased on MarketSmith Indicator by @Fred6724
added index for indian markets
customized to my preference
MoneyMint -MarketSmith Indicatorbased on MarketSmith Indicator by @Fred6724
added index for indian markets
customized to my preference
GT trial"GT" stands for "Growth Tracker."
This script is simple but represents a solid winning strategy. For trial purposes, it will be available exclusively for BTC/USD.
This script is designed to track growth, and it will demonstrate its true potential in the upcoming altcoin season.
This strategy utilizes certain parameters from the Ichimoku Kinko Hyo indicator. A buy signal is generated when the price breaks above the two base lines and the lagging line crosses above the base line. It does not react in downtrends but may encounter false signals in range-bound markets. Buy signals tend to occur when the chart transitions from a stagnant phase to an upward trend.
The reason for basing this strategy on the Ichimoku Kinko Hyo is its ability to visually indicate whether the trading instrument is trending upwards or downwards, depending on the position relative to the "cloud." This makes it easier to identify the market direction and assess trade opportunities.
Korkusuz V4.0 Precision Strategy (Invite-Only)Korkusuz V4.0 Precision Strategy” is a closed-source, invite-only script meticulously engineered to offer traders a more refined perspective on market entries and exits. It combines several well-established technical tools—such as RSI, MACD, and Bollinger Bands—within a unique framework designed to generate higher-quality signals rather than simply merging common indicators. Here’s how each component contributes to the overall methodology:
RSI (Relative Strength Index): Identifies overbought or oversold conditions to avoid chasing trades in extreme market zones.
MACD (Moving Average Convergence Divergence): Provides trend confirmation and momentum insight, ensuring trades align with the prevailing trend rather than countering it.
Bollinger Bands: Adjusts entry and exit triggers based on market volatility, allowing the strategy to adapt to both ranging and trending environments.
These indicators are not just randomly combined. The script’s logic weighs each signal according to current market conditions, filtering out low-probability setups. For example, a long entry might only trigger if RSI confirms that conditions aren’t overextended, MACD shows positive trend momentum, and the price breaks above a Bollinger Band threshold. This synergy aims to produce more consistent results than using these indicators in isolation.
Backtesting Parameters and Realistic Settings:
Initial Capital: $10,000 (a realistic size for an average trader)
Commission: 0.1% per trade
Slippage: 0.5% to account for real-market order fills
Risk Management: Positions aim to risk no more than 2% of equity per trade, aligning with sustainable trading practices.
Data Sample Size: The strategy has been tested over a sufficiently long historical period to exceed 100 trades, ensuring statistical relevance. If a lower trade frequency occurs on specific symbols or timeframes, it is due to the strategy’s focus on quality over quantity. Users can select timeframes or instruments that provide ample trading signals.
Backtest results are intended to provide a realistic view, not to mislead. These conditions replicate plausible real-world trading costs and constraints, helping traders form realistic expectations.
Uniqueness and Value:
While Korkusuz V4.0 employs well-known indicators, its originality lies in how these tools are integrated and calibrated. It’s not merely a “mashup” of common indicators; rather, it uses a proprietary weighting system and conditional logic to generate signals. This approach results in a dynamic filtering of signals that aims to enhance profitability and stability. The script is invite-only because it offers a unique methodology that goes beyond standard public-domain logic, providing traders who gain access with a competitive edge.
Chart Presentation:
The script is presented on a clean chart with no unnecessary drawings or other scripts, ensuring that the user clearly understands when and why signals are generated. Any drawings or annotations that appear on the chart serve to illustrate entry and exit conditions, not to clutter the view.
Author’s Instructions (Access Requirements):
This is an invite-only script. To request access:
1.Send me a direct message on TradingView with your username.
2.Briefly explain why you’re interested in using this strategy.
If approved, you will be granted access. Please note that without explicit approval, you cannot use or view the code.
Mother Candle with TP LevelsMother Candle with TP Levels Gösterge Özellikleri
Gösterge Özellikleri
1. Mother Candle Tespiti
Gösterge, belirli bir mum çubuğunun "Mother Candle" olup olmadığını tespit eder.
Bir mumun "Mother Candle" olarak kabul edilmesi için, sonraki 5 mumun tamamının bu mumun en yüksek ve en düşük seviyeleri arasında kalması gerekir.
Tespit edilen Mother Candle'ın yüksek, düşük ve orta noktası grafik üzerinde çizgilerle belirtilir.
2. TP (Take Profit) Seviyeleri
Kullanıcı tanımlı katsayılarla çarpılarak hedef fiyat seviyeleri hesaplanır:
Long (Alış) Seviyeleri: Mother Candle'ın en yüksek seviyesinin üzerine hesaplanan dört farklı TP seviyesi.
Short (Satış) Seviyeleri: Mother Candle'ın en düşük seviyesinin altına hesaplanan dört farklı TP seviyesi.
Her seviyenin grafik üzerinde renkli çizgiler ve etiketlerle görselleştirilmesi sağlanır.
3. Mother Candle Orta Çizgisi
Mother Candle'ın ortasını gösteren bir çizgi eklenmiştir. Bu, alıcılar ve satıcılar arasındaki denge seviyesini anlamaya yardımcı olur.
4. Dinamik Etiketler ve Renkler
Her seviyenin etiketi, ilgili fiyat seviyesini ve seviyenin adını (örneğin, T1, T2) içerir.
Çizgiler ve etiketler, kullanıcının grafik üzerindeki görsel deneyimini iyileştirmek için farklı renklerle tasarlanmıştır.
5. Kullanıcı Dostu Parametreler
Gösterge, kullanıcıların TP seviyeleri için katsayıları ayarlamasına olanak tanır.
Long Seviyeleri: T1, T2, T3, T4 için katsayılar ayrı ayrı belirlenebilir.
Short Seviyeleri: T1, T2, T3, T4 için katsayılar ayrı ayrı belirlenebilir.
6. Minimal Performans Etkisi
Gösterge, performansı optimize etmek için yalnızca gerekli mumları değerlendirir. Bu, özellikle yüksek zaman dilimlerinde kullanım için idealdir.
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Kullanım Alanları
1. Hedef Fiyat Belirleme
Trader'lar, Mother Candle'ın yüksek ve düşük seviyelerine dayalı hedef fiyatları belirleyebilir. Uzun vadeli işlemlerde bu hedef seviyeleri kullanarak kar alabilirler.
2. Destek ve Direnç Tespiti
Mother Candle'ın yüksek, düşük ve orta seviyeleri, güçlü destek ve direnç bölgelerini gösterebilir.
3. Risk Yönetimi
Hedef seviyeler sayesinde işlem planlaması yapılabilir ve risk yönetimi stratejileri geliştirilebilir.
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Kullanıcı Avantajları
Otomatik Hesaplama: Tüm seviyeler otomatik olarak hesaplanır ve manuel çaba gerektirmez.
Kolay Özelleştirme: Farklı işlem stratejilerine uygun olarak katsayılar özelleştirilebilir.
Grafik Üzerinde Netlik: Etiketler ve renkler sayesinde kullanıcılar, grafik üzerinde karmaşa yaşamadan analiz yapabilir.
Zamandan Tasarruf: Gösterge, kullanıcıların hızlı ve doğru işlem kararları almasına yardımcı olur.
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Sonuç
Mother Candle with TP Levels göstergesi, TradingView kullanıcılarına işlem planlamasında ve kar hedeflerini belirlemede büyük kolaylık sağlar. Özelleştirilebilir yapısı, görsel netliği ve işlem stratejilerine uyumlu tasarımıyla hem yeni başlayan hem de deneyimli trader'lar için etkili bir araçtır.
TradingView topluluğunda paylaşılacak olan bu gösterge, trader'ların daha bilinçli kararlar almasına katkıda bulunacaktır.
CRT TheoryThis Pine Script highlights bearish and bullish market conditions on a price chart using background colors. A pink background appears for bearish conditions, where yesterday’s high is higher than the previous day’s high, yesterday’s close is below the previous day’s high, and the daily percentage change is less than -0.5%. A green background appears for bullish conditions, where yesterday’s low is lower than the previous day’s low, yesterday’s close is above the previous day’s low, and the daily percentage change is greater than 0.5%. These conditions help visually identify market trends directly on the chart.
RSI Cross SMA14 - 195-Minute (Delayed Alert After Confirmation)RSI indicator that shows red and green bars upon cross
EGARCH Volatility Estimator
EGARCH Volatility Estimator (EVE)
Overview:
The EGARCH Volatility Estimator (EVE) is a Pine Script indicator designed to quantify market volatility using the Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) model. This model captures both symmetric and asymmetric volatility dynamics and provides a robust tool for analyzing market risk and trends.
Key Features:
Core EGARCH Formula:
ln(σ t 2 )=ω+α(∣ϵ t−1 ∣+γ⋅ϵ t−1 )+β⋅ln(σ t−1 2 )
ω (Omega): Captures long-term baseline volatility.
α (Alpha): Measures sensitivity to recent shocks.
γ (Gamma): Incorporates asymmetric effects (e.g., higher volatility during market drops).
β (Beta): Reflects the persistence of historical volatility.
The formula computes log-volatility, which is then converted to actual volatility for interpretation.
Standardized Returns:
The script calculates daily log-returns and standardizes them to measure deviations from expected price changes.
Percentile-Based Volatility Analysis:
Tracks the percentile rank of current volatility over a historical lookback period.
Highlights high, medium, or low volatility zones using dynamic background colors.
Dynamic Normalization:
Maps volatility into a normalized range ( ) for better visual interpretation.
Uses color gradients (green to red) to reflect changing volatility levels.
SMA Integration:
Adds a Simple Moving Average (SMA) of either EGARCH volatility or its percentile for trend analysis.
Interactive Display:
Displays current volatility and its percentile rank in a table for quick reference.
Includes high (75%) and low (25%) volatility threshold lines for actionable insights.
Applications:
Market Risk Assessment: Evaluate current and historical volatility to assess market risk levels.
Quantitative Strategy Development: Incorporate volatility dynamics into trading strategies, particularly for options or risk-managed portfolios.
Trend and Momentum Analysis: Use normalized or smoothed volatility trends to identify potential reversals or breakouts.
Asymmetric Volatility Detection: Highlight periods where downside or upside volatility dominates.
Visualization Enhancements:
Dynamic colors and thresholds make it intuitive to interpret market conditions.
Percentile views provide relative volatility context for historical comparison.
This indicator is a versatile tool for traders and analysts seeking deeper insights into market behavior, particularly in volatility-driven trading strategies.
Price Action Concepts - BidWhales Price Action Concepts - BidWhales
Overview:
The Price Action Concepts - BidWhales is a comprehensive TradingView indicator designed to provide professional-grade insights into price action behavior, market structure, and institutional activity. Built for traders who focus on Smart Money Concepts (SMC) and order flow analysis, this tool equips you with multi-timeframe structure detection, liquidity zones, order block metrics, and much more.
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Features & Functionalities
1. Market Structure Detection
Dynamic and Manual Modes: Automatically adapts the market structure length based on volatility or uses user-defined lengths.
Swing and Internal Structure: Detects CHoCH (Change of Character), BOS (Break of Structure), and CHoCH+ for both swing and internal levels.
Multi-Timeframe (MTF) Scanner: Visualize market structure trends across 15-minute, 1-hour, 4-hour, and daily timeframes. Intuitive table display with directional trends for quick decision-making.
Buy and Sell Volume Scanner: Displays volume dominance across detected timeframes, showing whether buyers or sellers are in control.
Power Candle Boxes: Highlights high-volume candles on the right of the scanner, providing immediate feedback on strong directional moves (bullish or bearish).
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2. Volumetric Order Blocks
Volumetric Metrics: Highlights key order blocks (OBs) formed with significant buy/sell volume activity.
Dynamic Metrics: Displays total volume, bull/bear volume ratio, and delta volume for each OB.
Mitigation Detection: Removes OBs once price mitigates key levels.
Swing vs Internal OBs: Separates internal order blocks from swing OBs for clarity.
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3. Multi-Timeframe Highs & Lows
Plot significant daily, weekly, monthly, and yearly highs/lows.
Customizable line styles, colors, and labels for clarity.
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4. Fair Value Gaps (FVG)
Detects institutional FVGs: bullish, bearish, and structure-breaking FVGs.
Supports up to 100 FVG boxes with customizable styles.
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5. Liquidity Zones (EQH/EQL)
Highlights Equal Highs (EQH) and Equal Lows (EQL) as liquidity targets.
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6. Accumulation & Distribution Zones
Visualizes bullish accumulation and bearish distribution zones using shaded boxes and polylines.
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7. Trend Lines and ZigZag
Automatic Trend Lines: Identifies and extends bullish/bearish lines dynamically.
ZigZag & Swing Detection: Highlights Higher Highs (HH) and Lower Lows (LL).
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8. High/Low Equilibrium Zones
Marks premium (resistance), discount (support), and equilibrium zones.
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9. Volume Candles
Transforms standard candles into gradient-based volume candles for real-time buy/sell volume analysis.
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10. Daily Open, HTF, and LTF Levels
Daily Open: Plots the current day's open level.
HTF Levels: Represent Buy-Side Liquidity (BSL) at significant highs and Sell-Side Liquidity (SSL) at significant lows on higher timeframes (e.g., 20, 40, 60 days).
LTF Levels: Highlights BSL and SSL at 1-hour highs/lows for lower timeframe liquidity zones.
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11. Automatic Fibonacci Levels
Auto-plots Fibonacci retracement levels with customizable ratios and styles.
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How to Use It
1. Market Structure Analysis: Identify BOS (Break of Structure) or CHoCH (Change of Character) on the higher timeframes (4H).
2. Order Blocks: Use Volumetric Order Blocks to spot key areas of buy/sell volume imbalance and monitor their mitigation.
3. Liquidity Zones: Focus on EQH and EQL to anticipate liquidity sweeps.
4. Fair Value Gaps: Look for unmitigated FVGs near structure breaks for trade confluence.
5. HTF and LTF Levels: Use HTF BSL/SSL and LTF BSL/SSL to determine where liquidity pools are likely to be swept.
6. Buy/Sell Volume Scanner & Power Candle Boxes: Use the scanner to determine directional volume dominance (buyers or sellers) and validate strong price moves with Power Candle Boxes displayed alongside.
7. Volume Candles: Confirm real-time buy/sell volume strength to gauge momentum during setups.
Combine these tools for a systematic price action and liquidity-based trading approach.
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Disclaimer
This indicator is a technical analysis tool and does not guarantee profitable trades. Trading involves significant risk, and past performance is not indicative of future results. Users should perform their own due diligence and consult a qualified financial advisor before trading. The author is not responsible for any losses incurred while using this tool.
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Compliance with TradingView Rules
This script adheres strictly to TradingView's publishing guidelines:
Fully original logic.
No repainting or misleading signals.
Clear and accurate labeling of features.
License: Mozilla Public License 2.0
Author: ProfitSync
Support and Resistance [THAMIM]Support and resistance levels are points on a chart where price movement is expected to pause due to a concentration of demand or supply. Traders use technical analysis to identify these levels, and can use them to plan entry and exit points. Some criteria for identifying support and resistance levels include:
Trendlines: Use at least three peaks or troughs to draw a trendline. The uptrend line is the support level, and the downtrend line is the resistance level.
Moving averages: Use moving averages to identify support and resistance levels.
Chart patterns: Use chart patterns to identify support and resistance levels.
Volume analysis: Use volume analysis tools to identify support and resistance levels.
Fibonacci retracements: Draw Fibonacci retracement levels between two price points to identify potential support and resistance levels.
Emotional price levels: Traders tend to gravitate towards emotional price levels, such as round numbers and historic events like record price highs or lows.
Once identified, traders can use support and resistance levels to plan their strategy. For example, a trader might use a breakout strategy, which involves waiting for the price to move outside of a support or resistance level. A breakout is a sudden and rapid movement with increased momentum.
RSI and MACD StrategyMACD >0 + RSI >60 and Candle closing above 50 EMA that will give bullish signal
Prasad Astro Ver 1.0Astro Analysis based on planets and rsi band for going long
or short based on colors
MidlineThis indicator automatically detects a new support level (referred to as the middle line) after a sudden price surge, and then issues a signal. By identifying this newly established level of support, the indicator helps traders anticipate potential rebound points following rapid upward moves.
このインジケーターは急騰後の新サポート水準(ミドルライン)を自動検知し、シグナルを発生させるものです
