SAR_BB_PC_ST_2025Супер трендовый инструмент
Использование самых популярных индикаторов настоящего времени в 1 для определения точки входа и выхода
Jalur dan Saluran
Ultimate Multi-Timeframe Indicator//@version=5
indicator("Ultimate Multi-Timeframe Indicator", overlay=true)
// EMA Ayarları
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
trendBullish = ta.crossover(ema50, ema200)
trendBearish = ta.crossunder(ema50, ema200)
// RSI Ayarları
rsi = ta.rsi(close, 14)
rsiOverbought = 70
rsiOversold = 30
rsiBullish = rsi < rsiOversold
rsiBearish = rsi > rsiOverbought
// MACD Ayarları
= ta.macd(close, 12, 26, 9)
macdBullish = ta.crossover(macdLine, signalLine)
macdBearish = ta.crossunder(macdLine, signalLine)
// Bollinger Bantları
bbBasis = ta.sma(close, 20)
bbUpper = bbBasis + ta.stdev(close, 20) * 2
bbLower = bbBasis - ta.stdev(close, 20) * 2
bbBreakout = close > bbUpper or close < bbLower
// Giriş & Çıkış Sinyalleri
buySignal = trendBullish and macdBullish and rsiBullish
sellSignal = trendBearish and macdBearish and rsiBearish
// Grafikte Gösterimler
plot(ema50, color=color.blue, title="EMA 50")
plot(ema200, color=color.red, title="EMA 200")
plot(bbUpper, color=color.green, title="Bollinger Upper")
plot(bbLower, color=color.green, title="Bollinger Lower")
plot(bbBasis, color=color.orange, title="Bollinger Basis")
// Alış & Satış İşaretleri
plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, title="BUY Signal", text="BUY")
plotshape(series=sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, title="SELL Signal", text="SELL")
// Uyarılar
alertcondition(buySignal, title="BUY Alert", message="Strong Buy Signal")
alertcondition(sellSignal, title="SELL Alert", message="Strong Sell Signal")
// Al-Sat Sinyalleri için Etiketler
bgcolor(buySignal ? color.green : na, transp=90)
bgcolor(sellSignal ? color.red : na, transp=90)
NSE Index Strategy with Entry/Exit MarkersExplanation of the Code
Trend Filter (200 SMA):
The line trendSMA = ta.sma(close, smaPeriod) calculates the 200‑period simple moving average. By trading only when the current price is above this SMA (inUptrend = close > trendSMA), we aim to trade in the direction of the dominant trend.
RSI Entry Signal:
The RSI is calculated with rsiValue = ta.rsi(close, rsiPeriod). The script checks for an RSI crossover above the oversold threshold using ta.crossover(rsiValue, rsiOversold). This helps capture a potential reversal from a minor pullback in an uptrend.
ATR-Based Exits:
ATR is computed by atrValue = ta.atr(atrPeriod) and is used to set the stop loss and take profit levels:
Stop Loss: stopLossPrice = close - atrMultiplier * atrValue
Take Profit: takeProfitPrice = close + atrMultiplier * atrValue
This dynamic approach allows the exit levels to adjust according to the current market volatility.
Risk and Money Management:
The strategy uses a fixed percentage of equity (10% by default) for each trade. The built‑in commission parameter helps simulate real-world trading costs.
Range Breakout [BigBeluga]Range Breakout is a dynamic channel-based indicator designed to identify breakout opportunities and price reactions within defined ranges. It automatically creates upper and lower bands with a midline, helping traders spot breakout zones, retests, and potential fakeouts.
🔵 Key Features:
Dynamic Channel Formation:
Automatically plots upper and lower channel bands with a midline based on ATR calculations.
Channels adjust upon breakout events or after a predefined number of bars to reflect new price ranges.
Breakout Detection:
Green circles appear when price breaks above the upper channel edge.
Red circles appear when price breaks below the lower channel edge.
A new channel is formed after each breakout, allowing traders to monitor evolving price ranges.
Retest Signals:
Upward-pointing green triangles signal a retest of the lower band, indicating potential support.
Downward-pointing red triangles indicate a retest of the upper band, suggesting possible resistance.
Filter Signals by Trends (New Feature):
Optional toggle to filter ▲ and ▼ signals based on channel breakout conditions.
When enabled:
In a bullish channel (confirmed by a green circle breakout), only ▲ signals are displayed.
In a bearish channel (confirmed by a red circle breakout), only ▼ signals are displayed.
Helps traders align retest signals with the prevailing trend for higher-quality trade setups.
Fakeout Identification:
'X' symbols appear when price breaks the upper or lower edge of the channel and quickly returns back inside.
Helps traders identify and avoid false breakouts.
🔵 Usage:
Breakout Trading: Use the green and red circle signals to identify potential breakout trades.
Retest Confirmation: Look for triangle markers to confirm retests of key levels, aiding in entry or exit decisions.
Fakeout Alerts: Utilize the 'X' signals to spot and avoid potential trap moves.
Dynamic Range Monitoring: Stay aware of changing market conditions with automatically updating channels.
Range Breakout is an essential tool for traders seeking to capitalize on range breakouts, retests, and fakeout scenarios. Its dynamic channels and clear visual signals provide a comprehensive view of market structure and potential trade setups.
T3 with Adjustable BandsT3 with Adjustable Bands
The T3 with Adjustable Bands indicator is an advanced technical analysis tool designed to provide a smooth and responsive trend-following line, combined with customizable upper and lower bands. This indicator is based on the T3 moving average, developed by Tim Tillson, which is known for its low lag and ability to reduce noise in price data.
In addition to the T3 line, this script introduces two adjustable bands calculated by offsetting the T3 line by a user-defined number of pips. These bands can help traders identify potential overbought or oversold conditions, as well as areas of price consolidation or breakout.
________________________________________
Key Features
1. Dynamic T3 Line:
o The T3 line is calculated using recursive exponential moving averages (EMAs) for smooth and reliable trend detection.
o Optionally highlights upward movements in green and downward movements in red for better visual clarity.
2. Customizable Upper and Lower Bands:
o The upper and lower bands are offset by a user-defined pip value, allowing traders to adapt the indicator to different market conditions or trading strategies.
3. Fully Adjustable Parameters:
o Length: Control the sensitivity of the T3 line by adjusting the EMA length.
o Factor: Adjust the smoothing factor to fine-tune the responsiveness of the T3 line.
o Source: Choose the price source for calculations (e.g., close, open, high, low).
o Pip Adjustment: Set the pip value for the upper and lower bands to match your trading instrument and strategy.
4. Versatile Use Cases:
o Identify trends and trend reversals with the T3 line.
o Use the bands to spot price ranges, breakouts, and potential support/resistance levels.
o Combine with other indicators for confirmation signals.
________________________________________
How to Use
1. Trend Identification:
o Observe the T3 line for direction and color changes. Green indicates bullish momentum, while red indicates bearish momentum.
2. Support and Resistance:
o Use the upper and lower bands to identify key levels where price might reverse or consolidate.
3. Breakout Zones:
o Look for price breaks above the upper band or below the lower band for potential breakout opportunities.
________________________________________
Customization Options
• Length: Adjust the length of the EMA used to calculate the T3 line.
• Factor: Control the smoothing factor for the T3 calculation (ranges from 0 to 1).
• Highlight Movements: Enable or disable dynamic color highlighting for the T3 line.
• Source: Select the price source for the indicator.
• Pip Adjustment: Customize the offset for the upper and lower bands in pips.
________________________________________
Who Can Benefit from This Indicator?
• Trend Traders: Gain a clear view of the prevailing market trend with minimal lag.
• Range Traders: Use the bands to identify potential reversal zones or mean-reversion opportunities.
• Scalpers and Swing Traders: Customize the indicator for different timeframes and trading styles using adjustable parameters.
________________________________________
Disclaimer
This indicator is a technical analysis tool and should not be used as the sole basis for making trading decisions. Always combine it with other forms of analysis and risk management strategies. Past performance is not indicative of future results.
XAU/USD Scalping Indicator📌 XAU/USD Scalping Indicator – High-Precision Buy/Sell Signals 🚀
💰 Best for Gold (XAU/USD) Scalping on 1M, 5M, and 15M Timeframes!
This indicator is designed for high-frequency scalping of XAU/USD (Gold) using a powerful combination of trend and momentum indicators.
✅ Features:
🔹 EMA (9 & 21) – Confirms the short-term trend.
🔹 RSI (14) – Filters out overbought/oversold conditions.
🔹 MACD Crossover – Confirms momentum shifts.
🔹 Buy & Sell Alerts – Signals for potential trade entries.
🔹 Clear Labels – BUY (Green) and SELL (Red) markers.
🛠️ How It Works:
📈 BUY Signal: When 9 EMA crosses above 21 EMA, RSI is above 30, and MACD is bullish.
📉 SELL Signal: When 9 EMA crosses below 21 EMA, RSI is below 70, and MACD is bearish.
⚡ Best Trading Sessions: London & New York sessions for high volatility.
🔥 Why Use This Indicator?
✅ Easy-to-Use: No complex settings, plug & play!
✅ Optimized for Scalping: Ideal for 1M, 5M, and 15M timeframes.
✅ Works on Gold & Other Forex Pairs!
✅ No Lagging Signals: Real-time alerts for quick decision-making.
🚀 How to Use This Indicator:
1️⃣ Add to TradingView and apply it to your XAU/USD chart.
2️⃣ Look for BUY/SELL signals with trend confirmation.
3️⃣ Combine with price action & support/resistance for best results.
4️⃣ Use during high-volume sessions (London/New York).
🏆 Ideal for:
✔️ Day Traders & Scalpers 📊
✔️ Gold (XAU/USD) Traders 🏆
✔️ Forex Scalping Enthusiasts 💰
✔️ Beginners & Experienced Traders 🔥
⚠️ Disclaimer: This indicator is for educational purposes only. Always backtest before using real capital. Risk management is essential! 🚨
💡 Like this indicator? Give it a thumbs up 👍 & leave a review!
📩 For custom modifications or alerts, let me know! 🚀🔥
sarch cloud EMA, MACD ve Bollinger Bantlarıema yukarıayken buy asagıdayken sell bollinger bantları asagıdayken buy yukarıdayken sell
Bitcoin Power Law: Complete with Oscillator + Future Projection
Firstly, we would like to give credit to @apsk32 and @x_X_77_X_x as part of the code originates from their work. Additionally, @apsk32 is widely credited with applying the Power Law concept to Bitcoin and popularizing this model within the crypto community. Additionally, the visual layout is fully inspired by @apsk32's designs, and we think it looks amazing. So much so that we had to turn it into a TradingView script. Thank you!
Understanding the Bitcoin Power Law Model
Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship.
By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges.
In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term.
The Bitcoin Power Law has the following function:
Power Law = 10^(a + b * log10(d))
Consisting of the following parameters:
a: Power Law Intercept (default: -17.668).
b: Power Law Slope (default: 5.926).
d: Number of days since a reference point(calculated by counting bars from the reference point with an offset).
Explanation of the a and b parameters:
Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post.
Applying vertical shifts to generate the other lines:
Once the initial power-law is created, additional lines are generated by applying a vertical shift . This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept.
In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest):
Base Power Law Line (no shift)
1-year shifted line
2-year shifted line
3-year shifted line
4-year shifted line
5-year shifted line
The six power law lines:
Bitcoin Power Law Oscillator
This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula:
normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line)
Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines. The Oscillator version can be found here .
Interpretation of the Bitcoin Power Law Model:
The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.).
By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame.
On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines.
In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples:
Example 1:
In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support (Note: Vertical yearly grid lines have been added for this purpose👍).
Example 2:
In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point C, now aligning with the Base Power Law Line.
Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe :
Example 3:
In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
Dynamic VWAP Levels (V1.0)The script calculates bands around the VWAP (Volume Weighted Average Price) using the Average True Range (ATR) to adjust the levels according to market reality. Buy and sell signals are generated when the price crosses these bands.
Customizable Parameters SmoothingLength (SmoothLength): The period used to smooth the levels. A higher value results in smoother bands that are less susceptible to rapid fluctuations.
Use EMA for smoothing?: Selects between using the Exponential Moving Average (EMA) or the Simple Moving Average (SMA) for smoothing.
ATR Length: The period used to calculate the ATR, which determines the frequency.
ATR Multiplier: A multiplier that adjusts the amplitude of the bands around the VWAP.
How the Script Works Calculating VWAP and Bands: The VWAP is calculated to obtain the volume weighted average price.
Bands are created around the VWAP by adding or subtracting a fraction of the ATR to account for the current market variation.
Smoothing Application: Price levels are smoothed to reduce market noise, allowing for better visualization of trends.
Signal Generation: Buy Signal: Generated when price crosses upwards the smoothed lower band (default dp7_smooth).
Sell Signal: Generated when price crosses downwards the smoothed upper band (default dp1_smooth).
RSI Signal Pro[UgurTash]Introducing RSI Signal Pro for TradingView
RSI Signal Pro is a refined version of the standard Relative Strength Index (RSI) , designed to improve signal accuracy by generating alerts in real-time instead of waiting for multiple candle confirmations. This enhancement allows traders to react faster to market movements while maintaining the familiar RSI structure.
What Makes RSI Signal Pro Unique?
✅ Real-Time RSI Signals: Unlike the traditional RSI, which waits for candle confirmations, this version provides immediate buy and sell signals upon key level crossovers.
✅ Dual Trading Modes: Choose between Simple Mode (standard RSI crossovers) and Advanced Mode (momentum-adjusted signals with price validation).
✅ Customizable RSI-Based Moving Average (MA): Optionally apply SMA, EMA, WMA, or VWMA to smooth RSI fluctuations and identify longer-term trends.
✅ Adaptive Signal Filtering: The Advanced Mode reduces false signals by filtering RSI movements with a momentum threshold and historical RSI validation.
✅ User-Friendly Interface: Simple ON/OFF toggles allow easy customization of the indicator's behavior.
How This Indicator Works
🔹 Simple Mode: Identical to traditional RSI, triggering signals when RSI crosses 30 (bullish) or 70 (bearish).
🔹 Advanced Mode: Uses historical RSI pivots, momentum verification, and price confirmation to refine signal accuracy—ideal for traders looking for more precise entries.
🔹 RSI-Based MA: Optionally overlay moving averages onto the RSI, providing additional trend confirmation.
How to Use RSI Signal Pro
1️⃣ Select a mode: Use Simple Mode for frequent alerts or Advanced Mode for refined signals.
2️⃣ Enable RSI-Based MA: Apply SMA, EMA, WMA, or VWMA to smooth RSI fluctuations.
3️⃣ Set alerts: TradingView notifications allow you to react to real-time RSI movements instantly.
4️⃣ Apply to multiple markets: Effective for crypto, forex, stocks, and commodities.
Why Use RSI Signal Pro Instead of Standard RSI?
While RSI Signal Pro maintains the core functionality of the standard RSI, its real-time signal generation allows traders to make faster decisions without the typical delay caused by waiting for candle confirmations. Additionally, the optional momentum filtering and moving average smoothing ensure fewer false signals and better trade accuracy.
RSI Divergence[UgurTash] – Real-Time📈 RSI Divergence – Real-Time, Adaptive, and Intelligent RSI Divergence Detection
🚀 What Does This Indicator Do?
RSI Divergence is a real-time divergence detection tool that helps traders identify bullish and bearish divergences between price and the Relative Strength Index (RSI). Unlike traditional RSI-based indicators, this script offers:
✅ Real-time detection – No need to wait for bar closes or repainting.
✅ Dynamic time-frame adaptation – The script automatically adjusts RSI settings based on the selected chart time frame.
✅ Multi-layered divergence analysis – Supports short-term, medium-term, and long-term divergence detection with an optional all-term mode that dynamically selects the best configuration.
🛠 How Does It Work?
Pivot-Based Divergence Detection:
The script analyzes pivot points on both price and RSI to determine valid divergences.
Bullish divergence occurs when price forms a lower low but RSI trends higher, indicating potential upward momentum.
Bearish divergence occurs when price forms a higher high but RSI trends lower, signaling possible weakness.
Adaptive RSI Calculation:
The RSI length is dynamically adjusted based on the chosen time frame:
Short-Term: RSI (7) for 1-5 min charts.
Medium-Term: RSI (14) for 15-60 min charts.
Long-Term: RSI (28) for 4H+ charts.
In All-Term Mode, the script automatically determines the best RSI length based on the active chart timeframe.
Smart Visualization & Alerts:
Bullish divergences are marked with green lines & labels.
Bearish divergences are highlighted in red.
Users can customize symbol size, divergence labels, and colors.
Instant alerts notify traders as soon as a divergence is detected.
🎯 How to Use This Indicator?
📌 For Trend Reversals: Look for bullish divergences at key support levels and bearish divergences at resistance zones.
📌 For Trend Continuation: Combine divergence signals with moving averages, volume analysis, or price action strategies to confirm trades.
📌 For Scalping & Swing Trading: Adjust the time-frame settings to match your trading style.
🏆 What Makes This Indicator Original?
🔹 Unlike standard RSI divergence indicators, this script features real-time analysis with no repainting, allowing for instant trading decisions.
🔹 The time-frame adaptive RSI makes it dynamic and suitable for any market condition.
🔹 The multi-term divergence detection offers flexibility, giving traders a precise view of both short-term & long-term market structure.
⚠ Note: No indicator guarantees 100% accuracy. Always use additional confirmations and sound risk management strategies.
If you find this tool useful, don’t forget to support & share! 🚀
Volatility with Sigma BandsOverview
The Volatility Analysis with Sigma Bands indicator is a powerful and flexible tool designed for traders who want to gain deeper insights into market price fluctuations. It calculates historical volatility within a user-defined time range and displays ±1σ, ±2σ, and ±3σ standard deviation bands, helping traders identify potential support, resistance levels, and extreme price behaviors.
Key Features
Multiple Volatility Band Displays:
±1σ Range (Yellow line): Covers approximately 68% of price fluctuations.
±2σ Range (Blue line): Covers approximately 95% of price fluctuations.
±3σ Range (Fuchsia line): Covers approximately 99% of price fluctuations.
Dynamic Probability Mode:
Toggle between standard normal distribution probabilities (68.2%, 95.4%, 99.7%) and actual historical probability calculations, allowing for more accurate analysis tailored to varying market conditions.
Highly Customizable Label Display:
The label shows:
Real-time volatility
Annualized volatility
Current price
Price ranges for each σ level
Users can adjust the label’s position and horizontal offset to prevent it from overlapping key price areas.
Real-Time Calculation & Visualization:
The indicator updates in real-time based on the selected time range and current market data, making it suitable for day trading, swing trading, and long-term trend analysis.
Use Cases
Risk Management:
Understand the distribution probabilities of price within different standard deviation bands to set more effective stop-loss and take-profit levels.
Trend Confirmation:
Determine trend strength or spot potential reversals by observing whether the price breaks above or below ±1σ or ±2σ ranges.
Market Sentiment Analysis:
Price movement beyond the ±3σ range often indicates extreme market sentiment, providing potential reversal opportunities.
Backtesting and Historical Analysis:
Utilize the customizable time range feature to backtest volatility during various periods, providing valuable insights for strategy refinement.
The Volatility Analysis with Sigma Bands indicator is an essential tool for traders seeking to understand market volatility patterns. Whether you're a day trader looking for precise entry and exit points or a long-term investor analyzing market behavior, this indicator provides deep insights into volatility dynamics, helping you make more confident trading decisions.
GM+For a Short Trade:
When a bullish candle (close > open) is larger than the previous candle and the MACD histogram for the past three bars is consecutively lower (suggesting weakening upward momentum), the script enters a short position.
For a Long Trade:
When a bearish candle (close < open) is larger (in body size) than the previous candle and the MACD histogram for the past three bars is consecutively higher (suggesting the downward move is losing strength), the script enters a long position.
Position Management:
There are no stop loss or take profit levels. The position is closed only when an opposite signal appears.
Cryptolabs Global Liquidity Cycle Momentum IndicatorCryptolabs Global Liquidity Cycle Momentum Indicator (LMI-BTC)
This open-source indicator combines global central bank liquidity data with Bitcoin price movements to identify medium- to long-term market cycles and momentum phases. It is designed for traders who want to incorporate macroeconomic factors into their Bitcoin analysis.
How It Works
The script calculates a Liquidity Index using balance sheet data from four central banks (USA: ECONOMICS:USCBBS, Japan: FRED:JPNASSETS, China: ECONOMICS:CNCBBS, EU: FRED:ECBASSETSW), augmented by the Dollar Index (TVC:DXY) and Chinese 10-year bond yields (TVC:CN10Y). This index is:
- Logarithmically scaled (math.log) to better represent large values like central bank balances and Bitcoin prices.
- Normalized over a 50-period range to balance fluctuations between minimum and maximum values.
- Compared to prior-year values, with the number of bars dynamically adjusted based on the timeframe (e.g., 252 for 1D, 52 for 1W), to compute percentage changes.
The liquidity change is analyzed using a Chande Momentum Oscillator (CMO) (period: 24) to measure momentum trends. A Weighted Moving Average (WMA) (period: 10) acts as a signal line. The Bitcoin price is also plotted logarithmically to highlight parallels with liquidity cycles.
Usage
Traders can use the indicator to:
- Identify global liquidity cycles influencing Bitcoin price trends, such as expansive or restrictive monetary policies.
- Detect momentum phases: Values above 50 suggest overbought conditions, below -50 indicate oversold conditions.
- Anticipate trend reversals by observing CMO crossovers with the signal line.
It performs best on higher timeframes like daily (1D) or weekly (1W) charts. The visualization includes:
- CMO line (green > 50, red < -50, blue neutral), signal line (white), Bitcoin price (gray).
- Horizontal lines at 50, 0, and -50 for improved readability.
Originality
This indicator stands out from other momentum tools like RSI or basic price analysis due to:
- Unique Data Integration: Combines four central bank datasets, DXY, and CN10Y as macroeconomic proxies for Bitcoin.
- Dynamic Prior-Year Analysis: Calculates liquidity changes relative to historical values, adjustable by timeframe.
- Logarithmic Normalization: Enhances visibility of extreme values, critical for cryptocurrencies and macro data.
This combination offers a rare perspective on the interplay between global liquidity and Bitcoin, unavailable in other open-source scripts.
Settings
- CMO Period: Default 24, adjustable for faster/slower signals.
- Signal WMA: Default 10, for smoothing the CMO line.
- Normalization Window: Default 50 periods, customizable.
Users can modify these parameters in the Pine Editor to tailor the indicator to their strategy.
Note
This script is designed for medium- to long-term analysis, not scalping. For optimal results, combine it with additional analyses (e.g., on-chain data, support/resistance levels). It does not guarantee profits but supports informed decisions based on macroeconomic trends.
Data Sources
- Bitcoin: INDEX:BTCUSD
- Liquidity: ECONOMICS:USCBBS, FRED:JPNASSETS, ECONOMICS:CNCBBS, FRED:ECBASSETSW
- Additional: TVC:DXY, TVC:CN10Y
RG - Volume Spike DetectorRG - Volume Spike Detector is a comprehensive volume analysis tool designed to help traders identify significant volume activity across different tickers on TradingView. This indicator not only detects overall volume spikes and percentage changes but also approximates and analyzes buying and selling volume separately, providing valuable insights into market dynamics. With customizable parameters, visual cues, and built-in alerts, it's suitable for traders of all levels looking to monitor volume-based market movements.
Features
Volume Spike Detection:
Identifies when total volume exceeds a user-defined multiple of its moving average (default: 2x).
Separate detection for buying and selling volume spikes based on their respective moving averages.
Volume Change Analysis:
Calculates and displays the percentage change in total volume from the previous bar.
Highlights significant increases (>50%) or decreases (<-50%) with alert options.
Buy/Sell Volume Approximation:
Estimates buying and selling volume using price movement and range:
Up bars: Buying volume ≈ volume * (close - low)/(high - low)
Down bars: Selling volume ≈ volume * (close - low)/(high - low)
Handles edge cases (e.g., high = low) to ensure accurate calculations.
Ideal For
Day traders monitoring sudden volume surges
Swing traders analyzing volume trends
Market analysts studying buying vs. selling pressure
This indicator empowers traders with a robust tool to track volume dynamics, offering both visual clarity and actionable alerts for informed decision-making.
Motivational Text TableRelease Notes - Motivational Text Table Indicator v1.0
Standalone Indicator:
A new, standalone Pine Script v6 indicator that displays a motivational text table directly on the chart.
Customizable Text:
Users can set their own motivational message through the "Custom Motivational Text" input.
Configurable Appearance:
Change the text color and background color of the table.
Adjust the text size by choosing from "tiny", "small", "normal", "large", or "huge".
Select the table’s position on the chart from multiple preset locations (e.g., top_left, middle_center, bottom_right, etc.).
Static Display:
The table is drawn on the last bar, ensuring that the motivational text remains static during realtime updates.
User-Friendly Design:
The interface is simple and easy to customize, making it perfect for users who need a daily dose of motivation directly on their TradingView charts.
Enjoy your motivational boost on every chart!
Squeeze Momentum Indicator with Entry Tactics### **Squeeze Momentum Indicator with Stacked EMAs**
#### **Description:**
This indicator is an enhanced version of the **Squeeze Momentum Indicator** (originally by John Carter and later modified by LazyBear). It identifies **periods of consolidation (squeeze)** and signals potential **explosive price moves** when momentum shifts. The added **stacked EMA concept** further refines entry signals by confirming trend strength. This is also an update to version 6 of PineScript
#### **How to Use:**
The indicator provides **three different entry tactics**, allowing traders to choose signals based on their strategy:
1. **Inside Day Pattern** – Detects inside candles, which indicate potential breakouts when volatility contracts.
2. **Consecutive Black Crosses (Squeeze Signal)** – A certain number of black crosses (low volatility periods) suggests a strong move is coming.
3. **Stacked EMA Concept** – When the **8 EMA > 21 EMA > 34 EMA**, combined with a momentum shift from negative to positive, it signals a **high-probability bullish entry**.
#### **Visual Cues:**
- **Histogram Bars**: Show momentum (green for increasing bullish, red for increasing bearish).
- **Black & Gray Dots**: Represent different squeeze states (low volatility vs. breakout conditions).
- **🔥 Bullish Label**: Appears when the stacked EMAs align and momentum shifts from negative to positive.
#### **Best Practices:**
- Look for **momentum shifts during a squeeze** for high-probability trades.
- Use **stacked EMAs as trend confirmation** before entering.
- Combine with **price action and volume analysis** for additional confluence.
This indicator helps traders **anticipate major price moves** rather than react, making it a powerful tool for trend-following and breakout strategies. 🚀
Volume Profile With HVN & LVN detectorVolume Profile Indicator
Based on the works of tradeforopp
Overview
The Volume Profile Indicator is a powerful technical analysis tool that visually represents the distribution of trading volume over price levels within a specified timeframe. It helps traders identify key support and resistance zones, high-volume trading areas, and low-volume rejection zones. The indicator includes customizable settings for Volume Point of Control (VPOC), High Volume Nodes (HVNs), and Low Volume Nodes (LVNs), making it a versatile tool for price action analysis and volume-based decision-making.
Key Features
🔹 Customizable Volume Profile
Adjustable number of rows to define the resolution of the volume profile.
Configurable timeframe aggregation for profile calculation (e.g., Daily, Weekly).
Selectable price resolution timeframe for precise profile construction.
Extendable volume profile for future sessions.
Fully customizable profile color and transparency settings.
🔹 Volume Point of Control (VPOC)
Displays the most traded price level within the selected timeframe.
Option to extend multiple VPOCs across the chart.
Adjustable VPOC line width and color customization.
Option to display VPOC labels when working with higher timeframe profiles.
🔹 High Volume Nodes (HVNs)
Identifies high-volume price levels where significant trading activity has occurred.
Configurable HVN strength to adjust detection sensitivity.
Two display modes:
Lines: Plots HVN levels as horizontal lines.
Areas: Highlights HVN regions with colored boxes.
Separate bullish and bearish HVN color settings.
🔹 Low Volume Nodes (LVNs)
Identifies low-volume price levels, which often act as rejection zones.
Configurable LVN strength to fine-tune detection.
Two display modes:
Lines: Marks LVN levels as horizontal lines.
Areas: Highlights LVN regions with shaded boxes.
Separate bullish and bearish LVN color settings.
🔹 Optimized for Performance
Efficient use of arrays for data storage and retrieval.
Global functions for HVN and LVN detection.
Uses security calls to access lower timeframe price and volume data.
Use Cases
✅ Identify Support & Resistance Levels
The indicator highlights key price levels where significant buying or selling interest exists.
✅ Detect Breakout & Reversal Zones
Low-volume areas (LVNs) often indicate price rejection zones, while high-volume areas (HVNs) suggest strong price acceptance zones.
✅ Improve Trade Entries & Exits
Traders can use the Volume Point of Control (VPOC) and volume clusters to refine entry and exit points.
✅ Enhance Price Action Strategies
By incorporating volume-based analysis, this indicator provides deeper market insights beyond traditional support/resistance and trendlines.
Customization & Settings
📌 Volume Profile Settings:
Rows: Defines the granularity of the volume profile.
Profile Timeframe: Specifies the aggregation period (e.g., Daily, Weekly).
Resolution Timeframe: Determines the price resolution for volume analysis.
Profile Extend %: Controls how much the profile extends into the next session.
📌 Volume Point of Control (VPOC):
Enable/Disable VPOC visualization.
Extend past VPOC levels to the right.
Display VPOC labels for higher timeframe profiles.
Adjustable VPOC line width and color.
📌 High Volume Nodes (HVNs):
Enable/Disable HVN detection.
Define HVN strength (volume threshold).
Choose between Line Mode or Area Mode.
Configure bullish and bearish HVN colors.
📌 Low Volume Nodes (LVNs):
Enable/Disable LVN detection.
Define LVN strength (volume threshold).
Choose between Line Mode or Area Mode.
Configure bullish and bearish LVN colors.
kurd fx Dynamic EMA StrategyDynamic EMA Strategy Explanation
This TradingView Pine Script indicator, "Dynamic EMA Strategy," is designed to plot Exponential Moving Averages (EMAs) dynamically based on the selected timeframe. It adjusts the EMA periods depending on whether the trader is scalping, swing trading, or position trading.
Functionality
1. Defining EMA Periods Based on Timeframe
The script determines appropriate EMA values based on the selected chart timeframe:
Scalping (1m, 3m, 5m)
Uses EMA 9, EMA 21, and EMA 50 for fast-moving market conditions.
Swing Trading (15m, 30m, 45m)
Uses EMA 50 and EMA 100, suitable for medium-term trend identification.
EMA 3 is disabled (na) in this mode.
Position Trading (1H and higher)
Uses EMA 100 and EMA 200 to identify long-term trends.
EMA 3 is disabled (na) in this mode.
2. EMA Calculation
The script calculates EMA values dynamically:
emaLine1 = ta.ema(close, ema1): Computes the first EMA.
emaLine2 = ta.ema(close, ema2): Computes the second EMA.
emaLine3 = not na(ema3) ? ta.ema(close, ema3) : na: Computes the third EMA only if applicable.
3. Plotting the EMAs
The script overlays the EMAs on the chart:
Blue Line (EMA 1) → Represents the fastest EMA.
Orange Line (EMA 2) → Represents the medium EMA.
Red Line (EMA 3) → Represents the slowest EMA (if applicable).
Each EMA is plotted using plot() with a specific color, linewidth of 2, and plot.style_line for a clean visualization.
Use Case
Scalpers can identify short-term momentum changes.
Swing traders can detect medium-term trends.
Position traders can spot long-term market trends.
This strategy helps traders adjust their EMA settings dynamically without manually changing them for different timeframes.
Jumbalika BandsThis indicator is designed using several common technical analysis tools: Bollinger Bands, Exponential Moving Averages (EMAs), and the Parabolic SAR. I'll walk you through each section to explain how it works and how you can use it:
1. Bollinger Bands
Bollinger Bands are used to measure volatility and overbought/oversold conditions. It consists of three lines:
Basis (Middle Line): A simple moving average (SMA) of the price over a defined period (in this case, 20 periods).
Upper Band: The basis plus a certain number of standard deviations. It represents the upper boundary of expected price movement.
Lower Band: The basis minus the same number of standard deviations. It represents the lower boundary of expected price movement.
Interpretation:
Overbought: If the price moves above the upper band, it could signal that the asset is overbought.
Oversold: If the price moves below the lower band, it could signal that the asset is oversold.
Volatility: A wider band indicates higher volatility, and a narrower band indicates lower volatility.
2. Exponential Moving Averages (EMAs)
The indicator plots four different EMAs:
9-period EMA: This is a short-term trend indicator.
20-period EMA on Close: This is another medium-term trend indicator, based on the close price.
20-period EMA on High: A variation of the 20-period EMA, but based on the high prices.
20-period EMA on Low: A variation of the 20-period EMA, but based on the low prices.
Interpretation:
9 EMA: A faster-moving average that responds quicker to price changes. It can be used to identify short-term trends.
20 EMA: A slower-moving average that reacts more gradually to price changes. It helps identify the broader trend.
High/Low EMAs: These give additional insights into the extremes of price action, which can help identify possible support or resistance levels.
Trading signals (common usage):
Crossover: When a shorter EMA (like the 9 EMA) crosses above a longer EMA (like the 20 EMA), it could be a bullish signal. When it crosses below, it could be a bearish signal.
3. Parabolic SAR
The Parabolic SAR is a trend-following indicator that is used to identify potential price reversals. The Parabolic SAR is plotted as a series of dots either above or below the price, depending on the trend:
Below the price: The trend is up (bullish).
Above the price: The trend is down (bearish)
4. Background Coloring (Optional)
The background will change color when the price crosses the Bollinger Bands:
Green background when the price is above the upper Bollinger Band.
Red background when the price is below the lower Bollinger Band.
Adjust the values for Bollinger Bands, EMAs, and Parabolic SAR directly in the indicator settings to suit your trading preferences.
Bollinger Bands: If the price is above the upper band, it might indicate an overbought condition, while if it's below the lower band, it might indicate an oversold condition.
EMAs: The 9 EMA is often used to track short-term trends, while the 20-period EMAs (on the close, high, and low) help analyze the broader market trend.
Parabolic SAR: The Parabolic SAR is often used to identify trend reversals. If the SAR is below the price, the trend is up, and if it's above the price, the trend is down.
Background Color: The background coloring helps visually highlight potential market conditions when the price breaks out of the Bollinger Bands.
Example Use Case:
Decide the trend based on the parabolic SAR, when the bar touches the upper or lower Bollinger take a short or long position based on the price action using EMAs.
Bitcoin Log Growth Curve OscillatorThis script presents the oscillator version of the Bitcoin Logarithmic Growth Curve 2024 indicator, offering a new perspective on Bitcoin’s long-term price trajectory.
By transforming the original logarithmic growth curve into an oscillator, this version provides a normalized view of price movements within a fixed range, making it easier to identify overbought and oversold conditions.
For a comprehensive explanation of the mathematical derivation, underlying concepts, and overall development of the Bitcoin Logarithmic Growth Curve, we encourage you to explore our primary script, Bitcoin Logarithmic Growth Curve 2024, available here . This foundational script details the regression-based approach used to model Bitcoin’s long-term price evolution.
Normalization Process
The core principle behind this oscillator lies in the normalization of Bitcoin’s price relative to the upper and lower regression boundaries. By applying Min-Max Normalization, we effectively scale the price into a bounded range, facilitating clearer trend analysis. The normalization follows the formula:
normalized price = (upper regresionline − lower regressionline) / (price − lower regressionline)
This transformation ensures that price movements are always mapped within a fixed range, preventing distortions caused by Bitcoin’s exponential long-term growth. Furthermore, this normalization technique has been applied to each of the confidence interval lines, allowing for a structured and systematic approach to analyzing Bitcoin’s historical and projected price behavior.
By representing the logarithmic growth curve in oscillator form, this indicator helps traders and analysts more effectively gauge Bitcoin’s position within its long-term growth trajectory while identifying potential opportunities based on historical price tendencies.
Peak Reaction Zones [BigBeluga]Peak Reaction Zones is an advanced Smart Money Concept (SMC) indicator that identifies the most recent swing high and swing low zones, helping traders determine premium and discount areas for optimal trade positioning.
🔵 Key Features:
Swing High & Low Zones:
Automatically detects the latest swing high and swing low levels.
Helps traders identify key reaction points where price is likely to respond.
Premium & Discount Concept:
The high zone represents a premium area, where price is overextended and may reverse.
The low zone represents a discount area, where price is undervalued and may bounce.
The midline dynamically marks the equilibrium of the range.
Adjustable Zone Width:
Users can fine-tune the width of the zones to match their trading style.
Wider zones capture broader reaction ranges, while narrower zones focus on precise levels.
Zone Retest Signals:
Blue markers appear when price retests the lower reaction zone, signaling potential support.
Orange markers appear when price retests the upper reaction zone, indicating possible resistance.
Price Labels for Key Levels:
Displays the price value of the swing high, swing low, and midline for quick reference.
Helps traders recognize major reaction points at a glance.
🔵 Usage:
Smart Money Trading: Utilize the premium and discount concept to align trades with institutional order flow.
Zone Reactions: Watch for price tests of reaction zones and use the retest signals to confirm potential reversals.
Midline Confirmation: If price holds above or below the midline, it can indicate directional bias.
Scalping & Swing Trading: Short-term traders can look for zone rejections, while swing traders can use the levels for trend continuation setups.
Peak Reaction Zones is a must-have tool for traders looking to trade with Smart Money Concepts, allowing for precise entries and exits based on key liquidity areas and market structure.
