TFPS - TradFi Pressure ScoreThe Data-Driven Answer to a New Market Reality.
This indicator quantifies the pressure exerted by Wall Street on the crypto market across four critical dimensions: Risk Appetite, Fear, Liquidity Flows, and the Opportunity Cost of Capital. Our research has found that the correlation between this 4-dimensional pressure vector and crypto price action reaches peak values of 0.87. This is your decisive macro edge, delivered in real-time.
The Irreversible Transformation
A fundamental analysis of the last five years of market data proves an irreversible transformation: The crypto market has matured into a high-beta risk asset, its fate now inextricably linked to Traditional Finance (TradFi).
The empirical data is clear:
Bitcoin increasingly behaves like a leveraged version of the S&P 500.
The correlation to major stock indices is statistically significant and persistent.
The "digital gold" narrative is refuted by the data; the correlation to gold is virtually non-existent.
This means standard technical indicators are no longer sufficient. Tools like RSI or MACD are blind to the powerful, external macro context that now dominates price action. They see the effect, but not the cause.
The Solution: A 4-Dimensional Macro-Lens
The TradFi Pressure Score (TFPS) is the answer. It is an institutional-grade dashboard that aggregates the four most dominant external forces into a single, actionable score:
S&P 500 (SPY): The Pulse of Risk Appetite. A rising S&P signals a "risk-on" environment, fueling capital flows into crypto.
VIX: The Market's Fear Gauge. A rising VIX signals a "risk-off" flight to safety, draining liquidity from crypto.
DXY (US-Dollar Index): The Anchor of Global Liquidity. A strong Dollar (rising DXY) tightens financial conditions, creating powerful headwinds for risk assets like Bitcoin.
US 10Y Yield: The Opportunity Cost of Capital. Rising yields make risk-free assets more attractive, pulling capital away from non-yielding assets like crypto.
What makes the TFPS truly unique?
1. Dynamic Weighting (The Secret Weapon):
Which macro factor matters most right now? Is it a surging Dollar or a collapsing stock market? The TFPS answers this automatically. It continuously analyzes the correlation of all four components to your chosen asset (e.g., Bitcoin) and adjusts their influence in real-time. The dashboard shows you the exact live weights, ensuring you are always focused on the factor that is currently driving the market.
2. Adaptive Engine:
The forces driving a 15-minute chart are different from those driving a daily chart. The TFPS engine automatically recalibrates its internal lookback periods to your chosen timeframe. This ensures the score is always optimally relevant, whether you are a day trader or a swing trader.
3. Designed for Actionable Insights
The Pressure Line: The indicator's core output. Is its value > 0 (tailwind) or < 0 (headwind)? This provides an instant, unambiguous read on the macro environment for your trade.
The Z-Score (The Contrarian Signal): The background "Stress Cloud" and the discrete dots provide early warnings of extreme macro greed or fear. Readings above +2 or below -2 have historically pinpointed moments of market exhaustion that often precede major trend reversals.
Lead/Lag Status: Gain a critical edge by knowing who is in the driver's seat. The dashboard tells you if TradFi is leading the price action or if crypto is moving independently, allowing you to validate your trade thesis against the dominant market force.
This is a public indicator with protected source code
Access is now available for traders who understand the new market reality at the intersection of crypto and traditional finance.
You are among the first to leverage what is a new standard for macro analysis in crypto trading. Your feedback is highly valued as I continue to refine this tool.
Follow for updates and trade with the full context!
M-oscillator
MACD Signal with Williams %R ColoringA simple fused indicator of 2, 1) MACD signal lines made colouring when 2) Williams % R is in overbought or oversold. not my own coding, just took two readily available indicators and coded them together.
HBD.warning wave scanningAlarms can be set for RSI, MACD, Stochastic, CCI, MFI, EMA50, EMA200, and automatic Fibonacci, among others. The Fibonacci last bar contact alert increases your chances of spotting prices at support levels.
Token Beta vs BTCWant to know how risky a crypto token is compared to Bitcoin?
It looks at the last 30 days of price data (you can change this number) for both the token you’re checking and Bitcoin. It calculates a number called beta, which tells you how much the token’s price swings compared to Bitcoin’s.
For example: If beta is 1.5, the token moves 1.5 times more than Bitcoin (pretty volatile!).
If beta is 0.8, it’s calmer than Bitcoin.
You set a “median beta” (default is 1.2), which is like a middle point for a group of tokens. The script checks if the token’s beta is higher than this median.
If it is, the token gets a score of 1 (meaning it’s riskier than average). If not, it gets a 0.
Table: A box pops up in the top-right corner of the chart, showing:
The token’s name (e.g., “SUIUSD”).
Its beta (e.g., “1.45”).
Its score (1 or 0, colored green for 1, red for 0).
Graphs: It draws a blue line for the beta value and a green bar graph for the score (1 or 0).
Gold 3min Trading Pro [XAU/USD]# Gold 3min Trading Pro - User Guide
## Overview
This is a professional scalping indicator specifically designed for Gold (XAU/USD) trading on 3-minute timeframes. It combines multiple technical analysis methods to provide high-probability entry signals for short-term trading.
## Key Features
### 1. Multi-Timeframe Trend Analysis
- **Major Trend**: Analyzes 15min, 1H, and 4H timeframes using moving averages
- **Short-term Trend**: Focuses on 3-minute price action and moving average alignment
- **Trend Strength**: Rated from 1-3 based on timeframe agreement
### 2. Core Indicators
- **RSI (9-period)**: Momentum oscillator for overbought/oversold conditions
- **Stochastic (9-period)**: %K and %D lines for entry timing
- **MACD**: Additional trend confirmation
- **Volume Analysis**: Detects volume spikes for signal validation
- **ATR-based Volatility Filter**: Ensures adequate market movement
### 3. Signal Types
- **Primary Signals**: Green triangles (LONG) and Red triangles (SHORT)
- **Enhanced Signals**: Stronger signals with multiple confirmations
- **Confirmation Signals**: Small circles for stochastic crossovers
## How to Use
### 1. Setup
- **Timeframe**: Use on 3-minute charts for Gold (XAU/USD)
- **Settings**: Default settings are optimized for Gold scalping
- **Session Filter**: Enable for London/New York sessions (recommended)
### 2. Entry Conditions
#### LONG Entry:
- Major trend is bullish (green background)
- Short-term trend is up or neutral
- RSI shows bullish momentum
- Stochastic indicates oversold recovery
- Volume spike confirmation
- Strong price action (bullish candle)
#### SHORT Entry:
- Major trend is bearish (red background)
- Short-term trend is down or neutral
- RSI shows bearish momentum
- Stochastic indicates overbought reversal
- Volume spike confirmation
- Strong price action (bearish candle)
### 3. Trade Management
- **Quick Target**: 50% of ATR-based calculation
- **Main Target**: Full ATR-based target
- **Stop Loss**: 60% of ATR below/above entry
- **Time Limit**: Exit if no progress within 20 bars (60 minutes)
### 4. Risk Management
- **Position Size**: Risk 1-2% of account per trade
- **Maximum Trades**: 3-5 trades per session
- **Avoid**: Low volatility periods and major news events
## Visual Elements
### Background Colors
- **Light Green**: Bullish major trend
- **Light Red**: Bearish major trend
- **Yellow**: Volume spike detected
- **Intense Colors**: Very strong trend alignment
### Chart Indicators
- **RSI Line (Blue)**: Main momentum indicator
- **Stochastic %K (Orange)**: Fast stochastic line
- **Stochastic %D (Yellow)**: Slow stochastic line
- **Horizontal Lines**: 70 (overbought), 30 (oversold), 50 (midline)
### Information Table (Top Right)
- Total signal count and performance statistics
- Current market conditions and trend strength
- RSI levels and volatility status
- Trading session information
- Last signal timing
## Alert System
### Standard Alerts
- **Scalp Long Signal**: Basic long entry signal
- **Scalp Short Signal**: Basic short entry signal
- **Premium Signals**: High-quality signals with strong confirmation
- **Trend Reversal**: Major trend change notifications
### Alert Setup
1. Right-click on chart → "Add Alert"
2. Select desired alert condition
3. Configure notification method (popup, email, webhook)
4. Set alert frequency to "Once Per Bar Close"
## Best Practices
### 1. Trading Sessions
- **Optimal**: London-NY overlap (3:00-5:00 PM EST)
- **Good**: London session (2:00-11:00 AM EST)
- **Avoid**: Asian session and major news releases
### 2. Market Conditions
- **Best**: Trending markets with normal to high volatility
- **Moderate**: Ranging markets during active sessions
- **Avoid**: Extremely low volatility or choppy conditions
### 3. Confirmation Rules
- Wait for signal triangle to appear
- Check that major trend aligns with signal direction
- Verify volume spike (yellow background)
- Ensure volatility is adequate (check info table)
### 4. Entry Timing
- Enter immediately after signal confirmation
- Use market orders for scalping speed
- Set stop loss and take profit levels immediately
## Settings Customization
### Essential Settings
- **MA Type**: EMA (recommended) or SMA
- **RSI Length**: 9 (default, can adjust 5-14)
- **Volume Threshold**: 1.8 (higher = fewer but stronger signals)
- **Volatility Filter**: Keep enabled for better signal quality
### Display Options
- **Show Scalping Signals**: Main entry signals
- **Show Performance Stats**: Information table
- **Show Trend Filter**: Background trend colors
- **Use Time Filter**: Session-based filtering
## Performance Optimization
### 1. Backtesting Tips
- Test on different market conditions
- Analyze win rate and average profit/loss
- Adjust settings based on historical performance
### 2. Signal Quality
- Higher trend strength (2-3) = better signals
- Volume confirmation improves success rate
- Enhanced signals have higher probability
### 3. Risk Control
- Never risk more than 2% per trade
- Use proper position sizing
- Stop trading after 3 consecutive losses
## Troubleshooting
### Common Issues
1. **No Signals**: Check volatility filter and session timing
2. **Too Many Signals**: Increase volume threshold or enable filters
3. **Poor Performance**: Verify timeframe (must be 3-minute) and symbol (XAU/USD)
### Support
- Ensure TradingView Pro+ subscription for multi-timeframe data
- Verify Gold symbol matches your broker's format
- Update to latest TradingView version
This indicator is designed for experienced traders familiar with scalping techniques and risk management. Always practice on demo accounts before live trading.
RV Indicator This Pine Script defines a custom Relative Volatility (RV) Indicator, which measures the ratio of directional price movement to volatility over a specified number of bars. Below is a full explanation of what this script does.
Title:
RV Indicator — Relative Volatility Oscillator
Purpose:
This indicator measures how aggressively price is moving compared to recent volatility, and smooths the result with a signal line. It can be used to gauge momentum shifts and trend strength.
How It Works – Step by Step
1. Measuring Price Momentum (v1)
It calculates the difference between the close and open prices of the last 4 candles.
A weighted average is applied:
The current candle and the one 3 bars ago get weight 1.
The two middle candles (1 and 2 bars ago) get weight 2.
This creates a smoothed momentum measure:
If close > open (bullish), v1 is positive.
If close < open (bearish), v1 is negative.
2. Measuring Volatility (v2)
Similarly, it calculates the high-low range for the last 4 candles.
The same weighting (1, 2, 2, 1) is applied.
This gives a smoothed volatility measure.
3. Combining Momentum and Volatility (RV Ratio)
For the past ti bars (default: 10), it sums up:
All v1 values (momentum sum)
All v2 values (volatility sum)
Then it divides them:
𝑅𝑉= sum of price momentum % sum of volatility
This produces the RV value:
RV > 0: Momentum is bullish (price is generally moving up relative to its volatility).
RV < 0: Momentum is bearish (price is moving down relative to its volatility).
4. Smoothed Signal Line (rvsig)
A smoothed version of the RV is created using a weighted average of the latest 4 RV values.
This acts like a signal line, similar to how MACD uses a signal line.
Crossovers between RV and this signal line can be used to detect shifts in momentum.
5. Visual Output
Orange Line (RV): Shows the raw momentum/volatility ratio.
Blue Line (Signal): A smoother line that follows RV more slowly.
Zero Line: Divides bullish vs. bearish momentum.
How to Use It in Trading
1. Look for Crossovers:
If RV crosses above its signal line → Possible buy signal (momentum turning bullish).
If RV crosses below its signal line → Possible sell signal (momentum turning bearish).
2. Check the Zero Line:
If both RV and Signal are above zero, momentum is bullish.
If both are below zero, momentum is bearish.
3. Filter False Signals:
Combine RV with a trend filter (like a 50 or 200 EMA) to avoid trading against the main trend.
Disclaimer: This script is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading decisions are solely your responsibility. Use at your own risk.
Indexrate Code BIndexrate Code B is an indicator and part of the Indexrate Code Set of Algorithm, which additionally includes the Indexrate Code A strategy.
The Indexrate Code Set of Algorithms can be used for any trading instruments and on any existing markets (Stock market, Forex, Cryptocurrency market, etc.).
Indexrate Code B consists of a set of indicators, oscillators and signals that are uniquely configured to interact with each other and allow traders to analyze the movement of an asset’s price:
- Momentum
This oscillator measures the amount of change in the price of an asset over a certain period of time. This is a great tool for understanding the strength of a trend and its potential sustainability. When the momentum oscillator is rising, it indicates that the price is moving up and vice versa.
Momentum is an advanced technical analysis tool that helps traders determine the rate of change or momentum of the market. It is typically used to determine the strength or rate at which the price of an asset increases or decreases for a set of returns. This oscillator is considered to be "fast moving" and "sensitive" as it reacts quickly to changes in price momentum. The fast-moving nature of this oscillator helps traders get early signals for potential market entry or exit points.
The Momentum Oscillator analyzes the current price compared to the previous price and adds two additional levels of analysis: Buy and Sell Movements and Extremes.
• Buying and Selling Movements: This oscillator layer helps identify the buying and selling pressure in the market. This can provide traders with valuable information about the possible direction of future price movements. When there is high buying pressure (demand), the price tends to rise, and when there is high selling pressure (supply), the price tends to fall.
• Extremes: This layer helps identify extreme overbought or oversold conditions. When the oscillator enters the overbought zone, it may indicate that price has peaked and could potentially reverse. Conversely, if the oscillator enters an oversold zone, it could indicate that the price is at a low and could potentially rebound.
Momentum usage example
Momentum is a sensitive and fast-moving oscillator that quickly adapts to price changes while tracking long-term momentum, making it easier to spot buying or selling opportunities in trends.
-Difference Momentum
The Momentum wave described above consists of two curves combined into a ribbon. Difference Momentum shows the intersection of these waves. Difference Momentum is an important component of the toolkit. It takes into account both the direction and dynamics of market trends. The waves within this system are fast and responsive, acting independently and offering the most relevant information at the most appropriate moments. Their fast response time ensures that traders receive timely information, which is very important in the fast-paced and dynamic world of trading.
An example of using Difference Momentum
Difference Momentum is able to identify trend reversals and pullbacks, allowing traders to enter or exit trades at optimal times.
Movement of the indicator curve from negative to positive values (from bottom to top) for Long and movement of the curve from positive to negative values (from top to bottom) for Short. As well as the intersection of the center line of the indicator channel (value “0”) in one direction or the other. The values can be observed in the status line.
-StochRSI
StochRSI is a type of momentum oscillator that is commonly used in technical analysis to predict price movements. As the name suggests, it is an enhanced form of the traditional Relative Strength Index (RSI) that provides traders with more timely signals to enter and exit the market.
StochRSI works on similar principles but is designed to provide signals ahead of traditional RSI. This is achieved through more complex mathematical modeling and calculations that aim to identify changes in market dynamics before they happen. It takes into account not only current price action, but also takes into account historical data in such a way that changes in trend directions can be anticipated.
Example of using StochRSI
StochRSI is an enhanced version of the traditional relative strength index, offering overbought or oversold market conditions.
The oscillator wave changes color from green to red. Where the green color serves as a priority for Long positions, and the red color serves as a priority for Short positions. Values in the “80” zone and above indicate the asset is overbought, and values in the “20” zone and below indicate the asset is oversold. The values can be observed in the status line.
-Money Flow Index (MFI)
Money Flow Index (MFI) or Money Flow Index is an indicator from the group of oscillators. It reflects the rate at which funds are invested in and withdrawn from a financial asset. Essentially, it measures the pressure of buyers and sellers. The oscillator calculates incoming and outgoing cash flows.
The Money Flow Index helps traders analyze positive and negative money flows and compare these data with price, which in turn allows them to better see trend strength and turning points.
Example of using Money Flow Index (MFI)
The transition of waves from gray to blue means that money is entering the asset, and vice versa from blue to gray means that money is leaving the asset. This leads to the conclusion that when money enters an asset, it becomes more expensive, and when money leaves an asset, it becomes cheaper. A hint of this movement gives the trader additional confirmation of the received signal. The bar at the top of the indicator duplicates the movement of Money Flow Index (MFI) waves for accurate visualization of these transitions. At the same time, when the wave is in blue color (Long), then purchases are considered a priority, and when the wave is in gray color (Short), then sales are considered a priority.
-Trend Score WMA
The Trend Score WMA indicator is an indicator that uses a weighted moving average (WMA). When calculating, each candle is assigned its own weight, which is calculated depending on the selected period. The indicator quickly reacts to market changes. Trend Score WMA is good for quick trading within a day or several days.
The indicator curve resembles a broken line directed up or down, into blue zones (Long) at the top and gray zones (Short) at the bottom. The maximum indicator values are 83 and -83.
Example of using Trend Score WMA
This is an indicator of trend direction. The movement of the indicator curve shows the movement of the trend in real time. The indicator curve moves from bottom to top, from the gray Short zone to the blue Long zone and from top to bottom, from the blue Long zone to the gray Short zone. It is also worth considering that finding a wave in the maximum values of both Long and Short zones may mean the continuation of stronger trend movements.
-Signals
Indexrate Code B(i), shows the direction of price movement, trend breaks, overbought and oversold zones of an asset and creates corresponding signals.
When the Momentum waves intersect, the Difference Momentum wave crosses the zero mark in the status line and the center of the channel boundary (white lines on the indicator having values of 60 and -60), a signal appears in the form of a column of the corresponding color (blue - Long, gray - Short), as well as a cross of the corresponding color appears.
When Momentum Waves intersect and simultaneously cross the channel boundary at a value of 60 or -60, a square of the corresponding color appears. This could mean stronger price movements.
If Momentum waves move from high peaks to lower ones, this also serves as signals for a change in price movement.
When working with the Indexrate Code B(i) indicator, it is necessary to take into account the totality of indicators of other indicators and oscillators to confirm the indicator signals, as shown in their examples.
The Indexrate Code Set of Algorithms is suitable for conservative traders who evaluate their success in the long term, and not in short-term excess profits.
IT IS IMPORTANT TO KNOW that no indicator is capable of 100% predicting a successful trade.
The market is a collection of people. It is thanks to human psychology that shapes the forces of supply and demand that financial markets exist (Charles Dow Theory).
Forecasting based on the analysis of mathematical algorithms (indicators) uses data from past trading - the price of the previous period of time and the volume of previous trading. It is these two indicators that are used by modern technical analysis.
The Indexrate Code Set of Algorithm is based on algorithms that evaluate trends, prices and volume indicators. Besides human psychology, which requires an assessment of the exact preceding periods for a specific timeframe, and not an assessment of the entire period from the moment of listing of a trading instrument on a specific exchange. Since market indicators completely change throughout the trading period and the exchange trading volume also changes.
All updates to the Indexrate Code Set of Algorithm will be free.
Trading is trading on probabilities. Investing is trading on opportunity. Nobody knows the future - Always protect your profits!
Russian translation
Indexrate Code В - это индикатор являющийся частью Комплекта алгоритмов Indexrate Code, включающего в себя дополнительно стратегию Indexrate Code А(s).
Комплект алгоритмов Indexrate Code, может быть использован для любых торговых инструментов и на любых существующих рынках (Фондовый рынок, Форекс, Криптовалютный рынок и тд).
Indexrate Code В состоит из совокупности индикаторов, осцилляторов и сигналов, настроенных уникальным образом для взаимодействия между собой и позволяющих трейдерам комплексно анализировать движение цены актива:
- Momentum
Этот осциллятор измеряет величину изменения цены актива за определенный промежуток времени. Это отличный инструмент для понимания силы тренда и его потенциальной устойчивости. Когда осциллятор импульса растет, это говорит о том, что цена движется вверх и наоборот.
Momentum - это продвинутый инструмент технического анализа, который помогает трейдерам определить скорость изменения или импульс рынка. Обычно он используется для определения силы или скорости, с которой цена актива увеличивается или уменьшается для набора доходностей. Этот осциллятор считается «быстродвижущимся» и «чувствительным», поскольку он быстро реагирует на изменения ценового импульса. Быстродвижущийся характер этого осциллятора помогает трейдерам получать ранние сигналы для потенциальных точек входа или выхода из рынка.
Осциллятор Momentum анализирует текущую цену по сравнению с предыдущей ценой и добавляет два дополнительных уровня анализа: «Движения покупки и продажи» и «Экстремумы».
Движения покупки и продажи: этот слой осциллятора помогает определить давление покупателей и продавцов на рынке. Это может предоставить трейдерам ценную информацию о возможном направлении будущих движений цен. Когда существует высокое давление покупателей (спрос), цена имеет тенденцию расти, а когда существует высокое давление продавцов (предложение), цена имеет тенденцию падать.
Экстремумы: этот слой помогает определить экстремальные условия перекупленности или перепроданности. Когда осциллятор входит в зону перекупленности, это может указывать на то, что цена достигла максимума и потенциально может развернуться. И наоборот, если осциллятор входит в зону перепроданности, это может указывать на то, что цена находится на минимуме и потенциально может отскочить.
Пример использования Momentum
Momentum — это чувствительный и быстро движущийся осциллятор, который быстро адаптируется к изменениям цен, отслеживая при этом долгосрочный импульс, что облегчает обнаружение возможностей покупки или продажи в трендах.
-Difference Momentum
Волна Momentum описанная выше, состоит из двух кривых объединенных в ленту. Difference Momentum, показывает пересечение этих волн. Difference Momentum является важным компонентом набора инструментов. Он учитывает как направление, так и динамику рыночных тенденций. Волны внутри этой системы быстрые и отзывчивые, действуют независимо и предлагают наиболее подходящую информацию в наиболее подходящие моменты. Их быстрое время реагирования гарантирует, что трейдеры получают своевременную информацию, что очень важно в быстро меняющемся и динамичном мире торговли.
Пример использования Difference Momentum.
Difference Momentum способен определять развороты и откаты тренда, позволяя трейдерам входить или выходить из сделок в оптимальные моменты.
Движение кривой индикатора с отрицательных значений в положительные (снизу вверх) для Long и движение кривой с положительных значений в отрицательные (сверху вниз) для Short. А также пересечение центральной линии канала индикатора (значение "0") в одну или в другую сторону. Значения можно наблюдать в строке статуса.
-StochRSI
StochRSI это тип осциллятора импульса, который обычно используется в техническом анализе для прогнозирования движения цен. Как следует из названия, это расширенная форма традиционного индекса относительной силы (RSI), которая предоставляет трейдерам более своевременные сигналы для входа и выхода из рынка.
StochRSI работает по аналогичным принципам, но предназначен для предоставления сигналов, опережающих традиционный RSI. Это достигается за счет более сложного математического моделирования и расчетов, целью которых является выявление изменений в динамике рынка до того, как они произойдут. Он учитывает не только текущее ценовое действие, но также учитывает исторические данные таким образом, чтобы можно было предвидеть изменения в направлениях тренда.
Пример использования StochRSI
StochRSI — это расширенная версия традиционного индекса относительной силы, предлагающая рыночные условия перекупленности или перепроданности.
Волна осциллятора меняет цвет с зеленого на красный. Где зеленый цвет служит приоритетом для позиций Long, а красный цвет приоритетом для позиций Short. Значение в зоне "80" и выше показывают перекупленность актива, а значение в зоне "20" и ниже, показывают перепроданность актива. Значения можно наблюдать в строке статуса.
-Money Flow Index (MFI)
Money Flow Index (MFI) или Индекс денежного потока, — индикатор из группы осцилляторов. Он отражает интенсивность, с которой денежные средства вкладываются в финансовый актив и выводятся из него. По сути, измеряет давление продавцов и покупателей. Осциллятор высчитывает входящие и выходящие денежные потоки.
Money Flow Index помогает трейдерам проанализировать положительные и отрицательные потоки денег и сравнить эти данные с ценой, что в свою очередь позволяет лучше видеть силу тренда и разворотные моменты.
Пример использования Money Flow Index (MFI)
Переход волн из серого цвета в голубой означает, что деньги входят в актив, а наоборот из голубого цвета в серый означает, что деньги из актива выходят. Отсюда следует вывод, что когда деньги входят в актив, он дорожает, а когда деньги выходят из актива, то он дешевеет. Намек на это движение, дает трейдеру дополнительное подтверждение полученного сигнала. Полоса в верхней части индикатора, дублирует движение волн Money Flow Index (MFI) для точности визуализации этих переходов. При этом, когда волна находится в голубом цвете (Long), то приоритетней считаются покупки, а когда волна находится в сером цвете (Short), то приоритетней считаются продажи.
-Trend Score WMA
Индикатор Trend Score WMA - это индикатор использующий взвешенную скользящую среднюю (WMA). При расчете каждой свече присваивается свой вес, который рассчитывается в зависимости от выбранного периода. Индикатор быстро реагирует на изменения рынка. Trend Score WMA хорошо подходит для быстрой торговли в течение дня или нескольких дней.
Кривая индикатора напоминает ломаную линию, направленную вверх или вниз, в зоны голубого цвета (Long) наверху и серого цвета (Short) внизу. Максимальными значениями индикатора являются 83 и -83.
Пример использования Trend Score WMA
Это индикатор направленности тренда. Движение кривой индикатора показывает движение тенденции в реальном времени. Кривая индикатора двигается снизу вверх, от серой зоны Short в голубую зону Long и сверху вниз, от голубой зоны Long до серой зоны Short. Стоит также учесть, что нахождение волны в максимальных значениях зон, как Long так и Short, может означать продолжение более сильных движений тенденции.
-Signals
Indexrate Code В(i), показывает направления движения цены, сломы тренда, зоны перекупленности и перепроданности актива и создает соответствующие сигналы.
Когда волны Momentum пересекаются, волна Difference Momentum пересекает нулевую отметку в строке статуса и центр границы канала (белые линии на индикаторе имеющие значение 60 и -60), появляется сигнал в виде столба соответствующего цвета (голубой - Long, серый - Short), а также появляется крест соответствующего цвета.
Когда Волны Momentum пересекаются и одновременно переходят границу канала в значении 60 или -60, появляется квадрат соответствующего цвета. Это может означать более сильные движения цены.
Если волны Momentum двигаются от высоких пиков к более низким, это тоже служит сигналам к изменению движения цены.
При этом работе с индикатором Indexrate Code В(i), необходимо учитывать совокупность показателей других индикаторов и осцилляторов для подтверждения сигналов индикатора, как показано в их примерах.
Комплект алгоритмов Indexrate Code, подходит консервативным трейдерам, оценивающим свой успех в долгосрочном перспективе, а не в краткосрочной сверх прибыли.
ВАЖНО ЗНАТЬ, что ни один индикатор не способен на 100% предсказать успешную сделку.
Рынок - это совокупность людей. Именно благодаря психологии людей, формирующей силы спроса и предложения, существуют финансовые рынки (Теория Чарльза Доу).
Прогнозирование на основе анализа математических алгоритмов (индикаторов), использует данные прошлых торгов - цену предыдущего периода времени и объем предыдущих торгов. Именно эти два показателя и используются современным техническим анализом.
В основе Комплекта алгоритмов Indexrate Code, лежат алгоритмы оценивающие тенденции, цены и показатели объема. А также психология людей, которая требует оценки точных предшествующих периодов для конкретного таймфрейма, а не оценка всего периода с момента листинга торгового инструмента на конкретной бирже. Так как показатели рынка полностью изменяются на всем торговом периоде и также меняется биржевой объем торгов.
Все обновления Комплекта алгоритмов Indexrate Code, будут бесплатны.
Трейдинг - это торговля на вероятностях. Инвестиции - это торговля на возможностях. Никто не знает будущего - Всегда защищайте свою прибыль.
MACD-RSI Divergence OscillatorMACD-RSI Divergence Oscillator: Dual Confirmation with Momentum + Divergence Signals
This powerful oscillator combines MACD and RSI into a single normalized visual tool, enriched with automatic divergence detection and smart signal alerts. It’s designed to give traders advanced insights into momentum shifts and trend reversals.
Key Features:
• MACD + RSI Combo: Both indicators are scaled and merged into one oscillator for clearer interpretation.
• Automatic Divergence Detection:
• Bullish & Bearish divergences on both MACD and RSI
• Highlights strong divergences when both confirm
• Trading Signals:
• Detects MACD crossovers and RSI reversals
• Smart buy/sell signals based on momentum + divergence
• Custom Oscillator View:
• Plots MACD and RSI on the same scale
• Visual zero-line, overbought/oversold levels, and customizable colors
• Optional Dashboard Table:
• Displays live indicator values, signal states, and divergence status
Ideal For:
• Spotting early trend reversals
• Confirming trade entries/exits
• Avoiding false signals using dual indicator logic
Highly customizable and suitable for all timeframes and asset types.
ATR%The time period can be customized, which is suitable for finding short-term high-volatility trading pairs, and may be suitable for finding grid trading.
Smart Price Divergence (MACD Filter) + EMA📌 Purpose
This indicator detects Price Divergences with MACD filtered by a 200 EMA trend condition.
It helps identify high-probability reversal zones aligned with market trend context.
🧠 How It Works
1. MACD Divergence Logic
Bearish Divergence:
Price makes a higher high.
MACD makes a lower high.
Price is above EMA (indicating possible exhaustion in bullish trend).
Bullish Divergence:
Price makes a lower low.
MACD makes a higher low.
Price is below EMA (indicating possible exhaustion in bearish trend).
2. EMA Trend Filter
EMA(200) is used as a directional filter:
Bearish divergences considered above EMA (extended bullish conditions).
Bullish divergences considered below EMA (extended bearish conditions).
3. Visual & Alerts
EMA(200) plotted on chart in orange.
Red triangles for Bearish Divergence.
Green triangles for Bullish Divergence.
Alerts fire for both divergence types.
📈 How to Use
Look for divergence signals as potential reversal alerts.
Combine with support/resistance or price action for confirmation.
EMA ensures signals occur in extended zones, increasing reliability.
Recommended Timeframes: 1h, 4h, D.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
MACD Fast / Slow / Signal Length
EMA Length (default 200)
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Smart RSI Divergence PRO | Auto Lines + Alerts📌 Purpose
This indicator automatically detects Regular and Hidden RSI Divergences between price action and the RSI oscillator.
It plots divergence lines directly on the chart, labels signals, and includes alerts for automated monitoring.
🧠 How It Works
1. RSI Calculation
RSI is calculated using the selected Source (default: Close) and RSI Length (default: 14).
2. Divergence Detection via Fractals
Swing points on both price and RSI are detected using fractal logic (5-bar patterns).
Regular Divergence:
Bearish: Price forms a higher high, RSI forms a lower high.
Bullish: Price forms a lower low, RSI forms a higher low.
Hidden Divergence:
Bearish: Price forms a lower high, RSI forms a higher high.
Bullish: Price forms a higher low, RSI forms a lower low.
3. Auto Drawing Lines
Lines are drawn automatically between divergence points:
Red = Regular Bearish
Green = Regular Bullish
Orange = Hidden Bearish
Blue = Hidden Bullish
Line width and transparency are adjustable.
4. Labels and Alerts
Labels mark divergence points with up/down arrows.
Alerts trigger for each divergence type.
📈 How to Use
Use Regular Divergences to anticipate trend reversals.
Use Hidden Divergences to confirm trend continuation.
Combine with support/resistance, trendlines, or volume for higher probability setups.
Recommended Timeframes: Works on all timeframes; more reliable on 1h, 4h, and Daily.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
Source (Close, HL2, etc.)
RSI Length
Toggle Regular / Hidden Divergence visibility
Toggle Lines / Labels
Line Width & Line Transparency
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before using in live trading.
Smart Impulse Exhaustion Finder (ATR + ADX Filter)📌 Purpose
This indicator detects potential exhaustion of strong bullish or bearish impulses at fresh swing highs/lows by combining multiple price action and volatility-based filters.
🧠 How It Works
A signal is triggered only when all core conditions are satisfied:
1. Swing High/Low Detection
Current high (or low) must be the highest (or lowest) over the last Extremum Lookback bars (default: 50).
This ensures the move is significant relative to recent price action.
2. Impulse Confirmation
Price must extend by at least 1 × ATR from the previous swing point.
This filters out minor fluctuations.
3. Exhaustion Conditions (at least 2 out of 3 must be met)
RSI Extreme: RSI > Overbought Level (default: 80) for bearish signals, RSI < Oversold Level (default: 20) for bullish signals.
Volume Spike: Volume > SMA(Volume, Volume SMA Length) × Volume Spike Multiplier.
Candle Wick Rejection: Upper wick ≥ Wick Threshold % for bearish setups, Lower wick ≥ Wick Threshold % for bullish setups.
4. Trend Filter
ADX > ADX Threshold ensures the market is trending and filters out sideways conditions.
5. Candle Body Filter
Candle body must be ≥ Body Size ATR Factor × ATR.
This avoids weak signals from small candles or doji formations.
📈 How to Use
Bearish Signal:
Appears at fresh swing highs with exhaustion conditions met. Useful for tightening stops, taking partial profits, or counter-trend shorts.
Bullish Signal:
Appears at fresh swing lows with exhaustion conditions met. Useful for trailing stops, profit-taking, or counter-trend longs.
Recommended Timeframes: Works best on 1h, 4h, and Daily charts.
Markets: Crypto, Forex, Stocks — wherever volatility and trends are present.
⚙️ Inputs
RSI Length / Overbought / Oversold
Volume SMA Length & Volume Spike Multiplier
Wick Threshold %
Extremum Lookback (bars for highs/lows)
ADX Length & Threshold
Body Size ATR Factor
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test thoroughly and apply proper risk management before live trading.
💡 Tip: Combine this tool with your own market context and confluence factors for higher probability setups.
JHW Volume Based Buy and Sell MomentumThe JHW Volume-Based Buy and Sell Momentum indicator is a custom momentum oscillator designed to capture market sentiment based on volume dynamics and price rate of change (ROC). It aims to identify bullish or bearish momentum by analyzing how price reacts to increasing or decreasing trading volume.
Core Logic:
The indicator calculates the Rate of Change (ROC) of the closing price.
It then accumulates this ROC separately based on whether the current volume is lower or higher than the previous bar:
If volume decreases, the ROC is added to a "negative volume index" accumulator.
If volume increases, the ROC is added to a "positive volume index" accumulator.
These two accumulators are combined to form a net momentum line.
Smoothing:
A Simple Moving Average (SMA) is applied to both accumulators over a user-defined period (default: 25 bars).
The sum of these smoothed values forms the signal line.
Visualization:
The indicator plots:
The net momentum line (yellow).
The smoothed signal line (blue).
The area between the two lines is filled with color:
Yellow when momentum is above the signal (bullish).
Blue when momentum is below the signal (bearish).
Bar colors are also adjusted to reflect the current momentum state.
Use Case:
This indicator helps traders:
Detect volume-driven momentum shifts.
Identify potential buy or sell zones based on volume behavior.
Confirm trends or spot early reversals.
XRSI-Momentum IndexThe XRSI Momentum Index is an enhanced, presentation‑ready implementation of the classic Relative Strength Index (RSI) for TradingView.
It retains the mathematical simplicity of J. Welles Wilder’s RSI while adding a modern visual layer and alert framework that makes momentum assessment faster and less error‑prone on intraday as well as swing charts.
Interpretation Guide
Momentum confirmation
RSI above the Neutral (50) → bullish bias; below → bearish bias.
Noise filters
When RSI oscillates only between OB Noise & OS Noise, ignore whipsaw and stay flat or trend‑follow with reduced size.
Reversal scout
A full cross into the OB or OS band (beyond the noise area) followed by a cross back into the Noise band signals early exhaustion.
EMA overlay
• RSI > EMA RSI → momentum acceleration.
• RSI < EMA RSI → momentum cooling.
Combine with price structure (higher‑highs / lower‑lows) for divergence detection.
Quick‑Start
Add to Chart
Indicators → Invite‑only scripts → XRSI Momentum Index (or paste the source into Pine editor).
Tune Zones
For volatile pairs (e.g., GBPJPY), widen OB/OS to 80 / 20.
For range‑bound assets (e.g., EURCHF), tighten to 60 / 40.
Set Alerts
Right‑click indicator → Add alert → choose condition (e.g., “Entry Into Oversold Area”) → route to webhook or app.
Optional EMA Strategy
Overlay price 50/200 EMA on chart; trade only when XRSI and price trend agree.
HBD.warning wave scanningThis indicator is a detailed technical analysis tool designed to track trading splits, identify potential trend reversals, and monitor key price movements in the cryptocurrency markets. Available in multiple versions, these indicators combine various options to help you understand market dynamics. Fibonacci levels automatically change. These are important areas within the orange zone. You can set alarms for these levels. Enjoy the benefits.
(MACD) 25 0122 미팅 MACD 볼린저Here is the English translation:
---
"I am currently testing the upload.
The content of the test script involves utilizing Bollinger Bands by linking the Bollinger Band basis line with the MACD's '0' baseline, allowing the MACD to be visualized on the chart."
Trigonometric StochasticTrigonometric Stochastic - Mathematical Smoothing Oscillator
Overview
A revolutionary approach to stochastic oscillation using sine wave mathematical smoothing. This indicator transforms traditional stochastic calculations through trigonometric functions, creating an ultra-smooth oscillator that reduces noise while maintaining sensitivity to price changes.
Mathematical Foundation
Unlike standard stochastic oscillators, this version applies sine wave smoothing:
• Raw Stochastic: (close - lowest_low) / (highest_high - lowest_low) × 100
• Trigonometric Smoothing: 50 + 50 × sin(2π × raw_stochastic / 100)
• Result: Naturally smooth oscillator with mathematical precision
Key Features
Advanced Smoothing Technology
• Sine Wave Filter: Eliminates choppy movements while preserving signal integrity
• Natural Boundaries: Mathematically constrained between 0-100
• Reduced False Signals: Trigonometric smoothing filters market noise effectively
Traditional Stochastic Levels
• Overbought Zone: 80 level (dashed line)
• Oversold Zone: 20 level (dashed line)
• Midline: 50 level (dotted line) - equilibrium point
• Visual Clarity: Clean oscillator panel with clear level markings
Smart Signal Generation
• Anti-Repaint Logic: Uses confirmed previous bar values
• Buy Signals: Generated when crossing above 30 from oversold territory
• Sell Signals: Generated when crossing below 70 from overbought territory
• Crossover Detection: Precise entry/exit timing
Professional Presentation
• Separate Panel: Dedicated oscillator window (overlay=false)
• Price Format: Formatted as price indicator with 2-decimal precision
• Theme Adaptive: Automatically matches your chart color scheme
Parameters
• Cycle Length (5-200): Period for highest/lowest calculations
- Shorter periods = more sensitive, more signals
- Longer periods = smoother, fewer but stronger signals
Trading Applications
Momentum Analysis
• Overbought/Oversold: Clear visual identification of extreme levels
• Momentum Shifts: Early detection of momentum changes
• Trend Strength: Monitor oscillator position relative to midline
Signal Trading
• Long Entries: Buy when crossing above 30 (oversold bounce)
• Short Entries: Sell when crossing below 70 (overbought rejection)
• Confirmation Tool: Use with trend indicators for higher probability trades
Divergence Detection
• Bullish Divergence: Price makes lower lows, oscillator makes higher lows
• Bearish Divergence: Price makes higher highs, oscillator makes lower highs
• Early Warning: Spot potential trend reversals before they occur
Trading Strategies
Scalping (5-15min timeframes)
• Use cycle length 10-14 for quick signals
• Focus on 20/80 level bounces
• Combine with price action confirmation
Swing Trading (1H-4H timeframes)
• Use cycle length 20-30 for reliable signals
• Wait for clear crossovers with momentum
• Monitor divergences for reversal setups
Position Trading (Daily+ timeframes)
• Use cycle length 50+ for major signals
• Focus on extreme readings (below 10, above 90)
• Combine with fundamental analysis
Advantages Over Standard Stochastic
1. Smoother Action: Sine wave smoothing reduces whipsaws
2. Mathematical Precision: Trigonometric functions provide consistent behavior
3. Maintained Sensitivity: Smoothing doesn't compromise signal quality
4. Reduced Noise: Cleaner signals in volatile markets
5. Visual Appeal: More aesthetically pleasing oscillator movement
Best Practices
• Market Context: Consider overall trend direction
• Multiple Timeframe: Confirm signals on higher timeframes
• Risk Management: Always use proper position sizing
• Backtesting: Test parameters on your preferred instruments
• Combination: Works excellently with trend-following indicators
Built-in Alerts
• Buy Alert: Trigonometric stochastic oversold crossover
• Sell Alert: Trigonometric stochastic overbought crossunder
Technical Specifications
• Pine Script Version: v6
• Panel: Separate oscillator window
• Format: Price indicator with 2-decimal precision
• Performance: Optimized for all timeframes
• Compatibility: Works with all instruments
Free and open-source indicator. Modify, improve, and share with the community!
Educational Value: Perfect for traders wanting to understand how mathematical smoothing improves oscillators and trigonometric applications in technical analysis.
COT Comm OsciDescription
The COT Comm Osci is a sentiment oscillator based on net positions from the weekly Commitments of Traders (COT) report.
It transforms net positions of Commercials, Noncommercials, or Nonreportables into a 0–100 index.
A value of 100 = highest net position within the selected timeframe.
A value of 0 = lowest net position.
You can define three historical intervals (e.g. 26/ 52 / 156 weeks).
Tip
To improve your analysis, it's recommended to add a separate COT indicator that visualizes raw Long/Short or net positions directly. This helps interpret the oscillator in context.
This script is based on “Commercial Index–Buschi” by MagicEins and has been extended with new features and error handling.
Features
Select between Commercial, Noncommercial, or Nonreportable trader groups
Proper handling of HG Futures (Copper)
Displays a warning if the root code is invalid (unsupported market symbol)
Assets Correlation AnalyzerAssets Correlation Analyzer
---------------------------------------------
What is it?
The Assets Correlation Analyzer is a technical indicator that measures and visualizes the statistical relationship between any two financial assets (a 'Base Asset' vs. a 'Comparison Asset', example Gold vs. SPY or Nasdaq vs. Bitcoin). The indicator calculates dynamic correlation tracking using statistical methods, confidence intervals, and category-wide analysis capabilities.
---------------------------------------------
Why was it built? / Potential Benefits
This indicator was developed to help analyze inter-asset relationships in portfolio management and trading strategies. The indicator can be used for:
Risk Assessment: Identify when assets begin moving together
Diversification Analysis: Monitor portfolio component relationships
Pairs Trading: Identify when correlated assets diverge
Market Analysis: Recognize shifts in market conditions through correlation patterns
Asset Analysis: Support decision-making based on correlation dynamics
Hedging Analysis: Identify relationships between different instruments
---------------------------------------------
How it Works
The indicator employs established statistical methods to calculate rolling correlations between two selected assets:
Data Collection: Retrieves price data for both selected assets using TradingView's security function
Returns Calculation: Computes logarithmic or simple returns based on user preference
Outlier Filtering: Optionally removes extreme price movements (beyond 2.5 standard deviations) to improve accuracy
Correlation Computation: Calculates either Pearson or Spearman rank correlation over the specified period
Signal Generation: Applies smoothing and generates a signal line (EMA) for momentum detection
Confidence Assessment: Evaluates data quality and provides confidence metrics
---------------------------------------------
How to Read the Oscillator
Main Correlation Line
Values Range: -1.0 to +1.0
+1.0: Perfect positive correlation (assets move identically)
+0.7 to +0.99: Strong positive correlation
+0.3 to +0.69: Moderate positive correlation
-0.3 to +0.29: Weak/No significant correlation
-0.69 to -0.31: Moderate negative correlation
-0.99 to -0.7: Strong negative correlation
-1.0: Perfect negative correlation (assets move oppositely)
Color Coding System
Green shades: Positive correlation levels, with brighter green indicating stronger positive correlation
Red shades: Negative correlation levels, with brighter red indicating stronger negative correlation
Gray: Insufficient data or transitional periods
The color intensity reflects both correlation strength and momentum relative to the signal line.
Signal Line (Gray)
The EMA-based signal line helps identify momentum changes:
Correlation above signal: Positive momentum in correlation
Correlation below signal: Negative momentum in correlation
Crossovers: Potential turning points in the relationship
Background Fills
Gradient fills provide a quick visual assessment of correlation strength, with intensity indicating the degree of correlation.
---------------------------------------------
Correlation Calculation Methods and Options
Calculation Methods
Spearman Rank Correlation (Default)
Uses ranked values rather than raw prices
Less sensitive to outliers and non-linear relationships
Suitable for volatile or non-normally distributed assets
Pearson Correlation (Traditional)
Standard linear correlation method
More sensitive to outliers
Suitable for assets with normal distribution patterns
---------------------------------------------
Customization Options
Correlation Period (7-500 bars): Determines the lookback window for calculation
Signal Line Period (1-200 bars): Controls the smoothing of the signal line
Outlier Removal: Automatically filters extreme price movements
Return Type: Choose between logarithmic (recommended) or simple returns
Smoothing Period: Reduces noise in correlation readings
---------------------------------------------
Asset Categories
The indicator includes 80+ pre-configured assets across multiple categories:
Metals: Gold, Silver, Copper, Platinum, Palladium, Nickel, Zinc, Aluminum
Energy: WTI/Brent Crude, Natural Gas, Uranium
Agriculture: Corn, Soybeans, Wheat, Coffee
ETFs: Major indices, sector, geographic, and specialty ETFs
Bonds: Government and corporate bond instruments
Financial: Currency pairs, treasury yields, volatility indices
Cryptocurrencies: Major digital assets and market cap indices
Real Estate: REITs and real estate focused instruments
---------------------------------------------
For Whom This Indicator Is Designed
Intended Users
Portfolio Managers: Asset allocation and risk assessment
Quantitative Traders: Correlation-based strategy development
Risk Analysts: Correlation monitoring and analysis
Institutional Investors: Diversification analysis
Active Traders: Pairs trading and arbitrage analysis
Skill Level
Intermediate to Advanced: Requires understanding of correlation concepts and statistical interpretation
Experience with Statistics: Users should be familiar with correlation analysis concepts
---------------------------------------------
Information Tables
Main Analysis Table
Displays current correlation value, data confidence percentage, and selected asset information.
Category Correlation Table
Shows correlation strength between the selected 'Base Asset' (in the chart, Gold) and all assets in the comparison asset's category.
---------------------------------------------
Alert Conditions
Four built-in alert types:
Strong Stable Positive Correlation: Triggers when correlation exceeds +0.8 with low volatility
Strong Stable Negative Correlation: Triggers when correlation falls below -0.8 with low volatility
Bullish Correlation Momentum: Signals when correlation crosses above the signal line
Bearish Correlation Momentum: Signals when correlation crosses below the signal line
---------------------------------------------
Usage Notes
Longer periods (30-50 bars) provide more stable analysis
Shorter periods (10-20 bars) provide more responsive signals
Monitor confidence levels - correlations with <75% confidence should be interpreted cautiously
Correlations tend to increase during market stress periods
Should be used in conjunction with other analysis tools
---------------------------------------------
Important Disclaimer
This indicator is for educational and informational purposes only. It should not be considered as financial advice or a recommendation to buy, sell, or hold any financial instrument. Past correlation patterns do not guarantee future relationships between assets. Users should conduct their own research and consider consulting with a qualified financial advisor before making investment decisions. Trading and investing involve substantial risk of loss, and correlation analysis cannot eliminate these risks. The accuracy of correlation calculations depends on data quality and market conditions, which can change rapidly.
Blue Dot Pullback with Bollinger BonusKey FeaturesCore Blue Dot Condition:ATH Pulse: Checks if the highest high in the lookback period (default: 60 bars) is within 1% of the all-time high (over 5000 bars), using recentHigh >= allTimeHigh * 0.99.
Pullback: Price must be below the recent high (close < recentHigh ) but above a 10-period SMA (close > sma10) to ensure a bullish context.
Stochastic Crossover: Stochastic %K must cross above 20 (ta.crossover(k, stochOverSold)).
When these conditions are met, a blue dot is plotted below the bar.
Purple Dot Condition (Bollinger Band Bonus):Includes all blue dot conditions plus the price being within 2% of the lower Bollinger Band (close <= lowerBB * bbProximity).
When met, a purple dot is plotted instead of a blue dot to highlight the stronger signal.
Plotting Logic:Blue dots are plotted only when blueDotCondition is true and purpleDotCondition is false to avoid overlap.
Purple dots are plotted when purpleDotCondition is true (includes Bollinger Band proximity).
Alerts:Added separate alertcondition calls for blue and purple dots, allowing you to set up notifications in TradingView for each signal type.
Visualization:Stochastic %K and %D are plotted in a separate pane for reference, along with the oversold line (20).
You can disable the Stochastic plot by setting display=display.none in the plot functions.
Why This Should WorkCore Setup Alignment: The blue dot condition focuses on the core requirements (ATH, pullback, Stochastic crossover), which should produce signals similar to or more frequently than the ChatGPT script, as it omits the Bollinger Band requirement unless the purple dot condition is met.
Bollinger Band Bonus: The purple dot incorporates the Bollinger Band proximity check (bbNear), matching the ChatGPT script’s additional filter, ensuring purple dots appear when the price is near the lower Bollinger Band.
Flexible ATH Detection: Using recentHigh >= allTimeHigh * 0.99 makes the ATH condition less strict, increasing the likelihood of signals compared to my original script.
How to UseAdd to TradingView:Open the Pine Editor in TradingView.
Copy and paste the script.
Click "Add to Chart" to apply it.
Interpret Dots:Blue Dot: Indicates a stock near an ATH, in a pullback (above 10-period SMA), with a Stochastic crossover above 20. This is the core Dr. Wish setup.
Purple Dot: Same as blue dot but with the price also within 2% of the lower Bollinger Band, suggesting a stronger pullback signal.
Test and Compare:Apply the script to the same stock and timeframe where the ChatGPT script showed blue dots (e.g., NVDA or TSLA on a daily chart).
Check if blue dots appear at similar points and if purple dots appear when the price is near the lower Bollinger Band.
Adjust lookbackATH (e.g., 60 to 100) or bbProximity (e.g., 1.02 to 1.05) if signals are too rare or frequent.
Set Alerts:Use TradingView’s alert feature to create notifications for “Blue Dot Alert” or “Purple Dot Alert” when signals occur.
TroubleshootingIf you’re still not seeing blue or purple dots:Check the Chart: Ensure the stock has recently hit an ATH and pulled back. Test on volatile stocks like NVDA, TSLA, or AAPL on daily or weekly timeframes.
Timeframe Sensitivity: The script may produce fewer signals on lower timeframes (e.g., 1-hour) due to fewer ATH occurrences. Try a daily or weekly chart.
Parameter Tuning: Increase bbProximity (e.g., to 1.05) to allow purple dots for prices slightly further from the lower Bollinger Band, or increase lookbackATH to capture more ATHs.
Compare with ChatGPT Script: Run both scripts on the same chart to identify where signals differ. Share the ticker, timeframe, or a screenshot if you need help debugging specific cases.
Additional NotesThe 10-period SMA in the pullback condition (isPullback) is a simple bullish context filter. You can replace it with another condition (e.g., 20-period SMA or trend filter) if preferred.
The Bollinger Band parameters (bbLength=20, bbMult=2.0) are standard but can be adjusted to match your trading style.
The script uses a 5000-bar lookback for allTimeHigh to approximate a true ATH. If your chart has limited historical data, reduce this value (e.g., to 1000).
EMA-VWAP Super Reversal (Final Advanced Version)EMA-VWAP Super Reversal – User Guide
This indicator is designed for high-probability reversal trading setups on futures such as NQ1! and ES1!, following strict confluence conditions.
✅ Signal Types
🟢 / 🔴 Mean Reversion Dots
Appear when all 4 stochastics (15m, 5m, 1m) are extreme (>80 or <20)
AND price is far (>0.05% by default, adjustable) from EMA21 on the 15m.
Indicates potential snapback to EMAs.
🔺 Green / Orange EMA Reversal Triangles
Appear when stochastics are extreme
AND price pulls back into EMAs while the EMAs are correctly postured (bullish or bearish).
Indicates a high-probability reversal.
💎 Purple Diamond Super Reversal
Appears when EMA reversal conditions are met
AND there is divergence on the fast stochastic (Stoch1).
Strongest reversal signal.
✅ Confluence Checks Built In
✔ Multi-timeframe stochastic alignment (15m, 5m, 1m)
✔ EMA posture (bullish or bearish stack)
✔ EMA pullback logic or EMA distance check
✔ VWAP reversion point consideration
✔ Divergence detection for strongest signals
✅ How to Use
Use on a 15-minute chart (optimal).
Look for Super Reversal diamonds first (highest conviction).
Confirm with price action and key levels before entry.
Combine with order flow, liquidity sweeps, or market structure for best results.
⚙ Settings
EMA Distance Threshold (%) → Default 0.05 (for Mean Reversion Dots).
Increase for fewer, stronger signals.
Decrease for more sensitivity.
📌 Best Practices
Focus on reversals during London & NY sessions.
Avoid trading against strong higher timeframe trends without extra confirmation.
Use tight stops and let winners run when the setup is strong.
💡 This tool is built to highlight only the cleanest reversal setups with layered confluence. Use it to filter noise and stay disciplined with your entries.
Hawkes Volatility Exit IndicatorOverview
The Hawkes Volatility Exit Indicator is a powerful tool designed to help traders capitalize on volatility breakouts and exit positions when momentum fades. Built on the Hawkes process, it models volatility clustering to identify optimal entry points after quiet periods and exit signals during volatility cooling. Designed to be helpful for swing traders and trend followers across markets like stocks, forex, and crypto.
Key Features Volatility-Based Entries: Detects breakouts when volatility spikes above the 95th percentile (adjustable) after quiet periods (below 5th percentile).
This indicator is probably better on exits than entries.
Smart Exit Signals: Triggers exits when volatility drops below a customizable threshold (default: 30th percentile) after a minimum hold period.
Hawkes Process: Uses a decay-based model (kappa) to capture volatility clustering, making it responsive to market dynamics.
Visual Clarity: Includes a volatility line, exit threshold, percentile bands, and intuitive markers (triangles for entries, X for exits).
Status Table: Displays real-time data on position (LONG/SHORT/FLAT), volatility regime (HIGH/LOW/NORMAL), bars held, and exit readiness.
Customizable Alerts: Set alerts for breakouts and exits to stay on top of trading opportunities.
How It Works Quiet Periods: Identifies low volatility (below 5th percentile) that often precede significant moves.
Breakout Entries: Signals bullish (triangle up) or bearish (triangle down) entries when volatility spikes post-quiet period.
Exit Signals: Suggests exiting when volatility cools below the exit threshold after a minimum hold (default: 3 bars).
Visuals & Table: Tracks volatility, position status, and signals via lines, shaded zones, and a detailed status table.
Settings
Hawkes Kappa (0.1): Adjusts volatility decay (lower = smoother, higher = more sensitive).
Volatility Lookback (168): Sets the period for percentile calculations.
ATR Periods (14): Normalizes volatility using Average True Range.
Breakout Threshold (95%): Volatility percentile for entries.
Exit Threshold (30%): Volatility percentile for exits.
Quiet Threshold (5%): Defines quiet periods.
Minimum Hold Bars (3): Ensures positions are held before exiting.
Alerts: Enable/disable breakout and exit alerts.
How to Use
Entries: Look for triangle markers (up for long, down for short) and confirm with the status table showing "ENTRY" and "LONG"/"SHORT."
Exits: Exit on X cross markers when the status table shows "EXIT" and "Exit Ready: YES."
Monitoring: Use the status table to track position, bars held, and volatility regime (HIGH/LOW/NORMAL).
Combine: Pair with price action, support/resistance, or other indicators for better context.
Tips : Adjust thresholds for your market: lower breakout thresholds for more signals, higher exit thresholds for earlier exits.
Test on your asset to ensure compatibility (best for markets with volatility clustering).
Use alerts to automate signal detection.
Limitations Requires sufficient data (default: 168 bars) for reliable signals. Check "Data Status" in the table.
Focuses on volatility, not price direction—combine with trend tools.
May lag slightly due to the smoothing nature of the Hawkes process.
Why Use It?
The Hawkes Volatility Exit Indicator offers a unique, data-driven approach to timing trades based on volatility dynamics. Its clear visuals, customizable settings, and real-time status table make it a valuable addition to any trader’s toolkit. Try it to catch breakouts and exit with precision!
This indicator is based on neurotrader888's python repo. All credit to him. All mistakes mine.
This conversion published for wider attention to the Hawkes method.
Custom EMA/SMA Dashboard📊 Custom EMA/SMA Dashboard
This indicator provides a customizable dashboard to display multiple moving averages (MAs) on your chart. You can switch between EMA (Exponential Moving Average) and SMA (Simple Moving Average) with a single input, and independently enable, color, and style each line.
✨ Features:
✅ Choose between EMA and SMA for all MAs
✅ Enable or disable each MA individually
🎨 Custom color and line width for:
10-period MA
20-period MA
50-period MA
200-period MA
Current RSI LabelRSI percentage indicator above stock price. Updates RSI percentage as stock price fluctuates.
Will indicate if the price is overbought or oversold