OI RSI - WuJianDAOOI RSI (Open Interest Relative Strength Index)
Overview: OI RSI is a technical indicator that applies the RSI concept to open interest data.
Key Features:
Traditional vs. OI RSI:
Traditional RSI measures price movements to identify overbought or oversold conditions.
OI RSI computes the relative strength of open interest over a specified period.
Purpose:
Provides insights into market participation and sentiment by evaluating open interest levels.
Application:
Assists traders in detecting potential reversals or confirming trends based on open interest dynamics.
震盪指標
Crypto Scanner v4This guide explains a version 6 Pine Script that scans a user-provided list of cryptocurrency tokens to identify high probability tradable opportunities using several technical indicators. The script combines trend, momentum, and volume-based analyses to generate potential buying or selling signals, and it displays the results in a neatly formatted table with alerts for trading setups. Below is a detailed walkthrough of the script’s design, how traders can interpret its outputs, and recommendations for optimizing indicator inputs across different timeframes.
## Overview and Key Components
The script is designed to help traders assess multiple tokens by calculating several indicators for each one. The key components include:
- **Input Settings:**
- A comma-separated list of symbols to scan.
- Adjustable parameters for technical indicators such as ADX, RSI, MFI, and a custom Wave Trend indicator.
- Options to enable alerts and set update frequencies.
- **Indicator Calculations:**
- **ADX (Average Directional Index):** Measures trend strength. A value above the provided threshold indicates a strong trend, which is essential for validating momentum before entering a trade.
- **RSI (Relative Strength Index):** Helps determine overbought or oversold conditions. When the RSI is below the oversold level, it may present a buying opportunity, while an overbought condition (not explicitly part of this setup) could suggest selling.
- **MFI (Money Flow Index):** Similar in concept to RSI but incorporates volume, thus assessing buying and selling pressure. Values below the designated oversold threshold indicate potential undervaluation.
- **Wave Trend:** A custom indicator that calculates two components (WT1 and WT2); a crossover where WT1 moves from below to above WT2 (particularly near oversold levels) may signal a reversal and a potential entry point.
- **Scanning and Trading Zone:**
- The script identifies a *bullish setup* when the following conditions are met for a token:
- ADX exceeds the threshold (strong trend).
- Both RSI and MFI are below their oversold levels (indicating potential buying opportunities).
- A Wave Trend crossover confirms near-term reversal dynamics.
- A *trading zone* condition is also defined by specific ranges for ADX, RSI, MFI, and a limited difference between WT1 and WT2. This zone suggests that the token might be in a consolidation phase where even small moves may be significant.
- **Alerts and Table Reporting:**
- A table is generated, with each row corresponding to a token. The table contains columns for the symbol, ADX, RSI, MFI, WT1, WT2, and the trading zone status.
- Visual cues—such as different background colors—highlight tokens with a bullish setup or that are within the trading zone.
- Alerts are issued based on the detection of a bullish setup or entry into a trading zone. These alerts are limited per bar to avoid flooding the trader with notifications.
## How to Interpret the Indicator Outputs
Traders should use the indicator values as guidance, verifying them against their own analysis before making any trading decision. Here’s how to assess each output:
- **ADX:**
- **High values (above threshold):** Indicate strong trends. If other indicators confirm an oversold condition, a trader may consider a long position for a corrective reversal.
- **Low values:** Suggest that the market is not trending strongly, and caution should be taken when considering entry.
- **RSI and MFI:**
- **Below oversold levels:** These conditions are traditionally seen as signals that an asset is undervalued, potentially triggering a bounce.
- **Above typical resistance levels (not explicitly used here):** Would normally caution a trader against entering a long position.
- **Wave Trend (WT1 and WT2):**
- A crossover where WT1 moves upward above WT2 in an oversold environment can signal the beginning of a recovery or reversal, thereby reinforcing buy signals.
- **Trading Zone:**
- Being “in zone” means that the asset’s current values for ADX, RSI, MFI, and the closeness of the Wave Trend lines indicate a period of consolidation. This scenario might be suitable for both short-term scalping or as an early exit indicator, depending on further market analysis.
## Timeframe Optimization Input Table
Traders can optimize indicator inputs depending on the timeframe they use. The following table provides a set of recommended input values for various timeframes. These values are suggestions and should be adjusted based on market conditions and individual trading styles.
Timeframe ADX RSI MFI ADX RSI MFI WT Channel WT Average
5-min 10 10 10 20 30 20 7 15
15-min 12 12 12 22 30 20 9 18
1-hour 14 14 14 25 30 20 10 21
4-hour 16 16 16 27 30 20 12 24
1-day 18 18 18 30 30 20 14 28
Adjust these parameters directly in the script’s input settings to match the selected timeframe. For shorter timeframes (e.g., 5-min or 15-min), the shorter lengths help filter high-frequency noise. For longer timeframes (e.g., 1-day), longer input values may reduce false signals and capture more significant trends.
## Best Practices and Usage Tips
- **Token Limit:**
- Limit the number of tokens scanned to 10 per query line. If you need to scan more tokens, initiate a new query line. This helps manage screen real estate and ensures the table remains legible.
- **Confirming Signals:**
- Use this script as a starting point for identifying high potential trades. Each indicator’s output should be used to confirm your trading decision. Always cross-reference with additional technical analysis tools or market context.
- **Regular Review:**
- Since the script updates the table every few bars (as defined by the update frequency), review the table and alerts regularly. Market conditions change rapidly, so timely decisions are crucial.
## Conclusion
This Pine Script provides a comprehensive approach for scanning multiple cryptocurrencies using a combination of trend strength (ADX), momentum (RSI and MFI), and reversal signals (Wave Trend). By using the provided recommendation table for different timeframes and limiting the tokens to 20 per query line (with a maximum of four query lines), traders can streamline their scanning process and more effectively identify high probability tradable tokens. Ultimately, the outputs should be critically evaluated and combined with additional market research before executing any trades.
Multi-Indicator Alert (Sell)Alert when RSI is above 70 and price is outside bollingerband and volume is not greater then x% moving average
Erudite RSIThis indicator is a combination of Relative Strength Index (RSI) and Stochastic RSI.
This is a good indicator for scalping.
-Erudite
MA Smoothed RSI For Loop | QuantPabloMA Smoothed Source For RSI Loop | Crypto_Mercenary_
Conceptual Foundation and Innovation
The "MA Smoothed Source For RSI Loop" indicator developed by Crypto_Mercenary_ innovates by smoothing the source data used for RSI calculation with various moving averages before feeding it into a for-loop scoring system. Rather than smoothing the RSI itself, this approach focuses on pre-processing the price data to reduce noise, thereby providing a cleaner input for RSI computation. The for-loop then evaluates this smoothed RSI to generate momentum signals, offering traders a refined method for detecting market trends and potential reversals.
Technical Composition and Calculation
The indicator's functionality is divided into two main parts:
Source Smoothing: Before calculating RSI, the source data (typically close price) is smoothed using one of several moving averages (EMA, SMA, WMA, VWMA, HMA, RMA, DEMA, or none) as selected by the user. This smoothing aims to filter out short-term volatility, providing a more consistent base for RSI calculation.
RSI Calculation and For-Loop Scoring:
RSI: Calculated using the smoothed source data over a user-defined length.
For-Loop Mechanism: A loop runs from a to b, comparing the current RSI value with past values of this smoothed RSI. A score (counter) is generated, which increases or decreases based on whether the current RSI exceeds or falls below past values. If the weighted option is activated, this comparison gives more weight to recent data points, adjusting the score accordingly.
The final score is then potentially normalized for better interpretation, compared against thresholds to determine market momentum signals.
Features and User Inputs
This indicator is highly customizable, allowing traders to tailor its behavior:
Weighted Calculation: Option to adjust scoring to favor recent price action.
RSI Length: Sets the period for RSI calculation.
Source: The price data to be smoothed before RSI calculation, default is close.
MA Type: Choice from various moving averages to smooth the source data.
Smooth Length: Length of the moving average used for smoothing.
For Loop Range: Defines the historical range (a to b) for the scoring loop.
Thresholds: Custom thresholds to define when signals for uptrends or downtrends are generated.
Practical Applications
This indicator is particularly beneficial for:
Identifying Momentum Shifts: The scoring system helps in detecting potential changes in market momentum.
Noise Reduction: By smoothing the source data, it aims to provide more reliable RSI signals in volatile markets.
Trend Analysis: Assists in confirming or challenging the current market trend based on the smoothed RSI's performance.
Advantages and Strategic Value
The "MA Smoothed Source For RSI Loop" offers an advantage by focusing on cleaning the input data for RSI, which can lead to more accurate momentum readings. Its flexibility in configuration allows traders to adapt the indicator to different market conditions or asset volatilities, enhancing its strategic value in trading decisions.
Alerts and Visual Cues
Visual Signals: The indicator plots the loop score, with colors indicating uptrends (gold) or downtrends (blue). Horizontal lines at thresholds and shaded areas between them provide visual aids for trend analysis.
**No explicit alerts in the script, but users can set up custom alerts based on the signals.
Summary and Usage Tips
The "MA Smoothed Source For RSI Loop | Crypto_Mercenary_" provides a nuanced approach to RSI by smoothing the price data before its calculation, resulting in potentially more reliable signals. Traders can use this indicator to gain a clearer picture of market momentum, adjusting parameters to fit different market behaviors or trading strategies. Remember, the effectiveness of this tool largely depends on its customization to the specific market context.
Note: Backtests are based on past results and do not guarantee future performance.
BW by readCrypto
Hello, traders.
If you "Follow", you can always get new information quickly.
Please also click "Boost".
Have a nice day today.
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BW indicator is an indicator that displays StochRSI, MACD, OBV, and superTrend indicators integrated.
The BW(100) indicator is created when
- StochRSI indicator is 50 or higher,
- MACD indicator's haMSignal > haSSignal,
- OBV indicator rises above the previous high,
- superTrend indicator rises above the Sell line
The above conditions are met and it falls.
The BW(0) indicator is created when
- StochRSI indicator is below 50,
- MACD indicator is haMSignal < haSSignal,
- OBV indicator falls below the previous low,
- superTrend indicator falls below the Buy line
The above conditions are satisfied and it rises.
-
(Interpretation method)
Accordingly, the creation of the BW(100) indicator can be interpreted as meaning that it has fallen from the high point range.
Therefore, the point where the BW(100) indicator is created is likely to be the resistance point.
The creation of the BW(0) indicator can be interpreted as meaning that it has risen from the low point range.
Therefore, the point where the BW(0) indicator is created is likely to be the support point.
-
Since this BW indicator includes the OBV indicator that refers to the trading volume, it cannot be used on index charts that do not display the trading volume.
I think intuition is important when trading.
I think that indicators like this, which are displayed on the price candles, that is, indicators that show support and resistance points, increase intuitiveness when trading.
-
Thank you for reading to the end.
I hope you have a successful trade.
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안녕하세요?
트레이더 여러분, 반갑습니다.
"팔로우"를 해 두시면, 언제나 빠르게 새로운 정보를 얻으실 수 있습니다.
"부스트" 클릭도 부탁드립니다.
오늘도 좋은 하루되세요.
-------------------------------------
BW 지표는 StochRSI, MACD, OBV, superTrend 지표를 통합하여 표시한 지표입니다.
BW(100) 지표의 생성은
- StochRSI 지표가 50 이상,
- MACD 지표의 haMSignal > haSSignal,
- OBV 지표가 이전 고점 이상 상승,
- superTrend 지표가 Sell선 이상 상승
위의 조건이 만족한 상태에서 하락하게 되면 생성됩니다.
BW(0) 지표의 생성은
- StochRSI 지표가 50 이하,
- MACD 지표가 haMSignal < haSSignal,
- OBV 지표가 이전 저점 이하로 하락,
- superTrend 지표가 Buy선 이하로 하락
위의 조건이 만족한 상태에서 상승하게 되면 생성됩니다.
-
(해석 방법)
이에 따라서, BW(100) 지표가 생성되었다는 의미는 고점 구간에서 하락하였다는 의미로 해석할 수 있습니다.
그러므로, BW(100) 지표가 생성된 지점이 저항 지점이 될 가능성이 높습니다.
BW(0) 지표가 생성되었다는 의미는 저점 구간에서 상승하였다는 의미로 해석할 수 있습니다.
그러므로, BW(0) 지표가 생성된 지점이 지지 지점이 될 가능성이 높습니다.
-
이 BW 지표는 거래량를 참고하는 OBV 지표가 포함되어 있기 때문에 거래량 표시가 없는 지수 차트에서는 사용할 수 없습니다.
거래시에는 직관성이 중요하다고 생각합니다.
이렇게 가격 캔들 부분에 표시된 지표, 즉, 지지와 저항 지점을 표시하는 지표는 거래시 직관성을 높여 준다고 생각합니다.
-
끝까지 읽어주셔서 감사합니다.
성공적인 거래가 되기를 기원입니다.
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Quantum ScalperQuantum Scalper: The Ultimate Multi-Strategy Scalping Indicator
The Quantum Scalper is a sophisticated, all-in-one technical analysis tool, designed specifically for active scalpers and day traders who need a fast, reliable, and highly accurate indicator for trading in fast-moving markets. Unlike traditional indicators that rely on a single strategy, the Quantum Scalper integrates multiple advanced strategies into one cohesive system, offering a comprehensive, multi-dimensional approach to real-time market analysis.
With a combination of trend-following tools, momentum oscillators, volatility measures, and mean-reversion techniques, the Quantum Scalper ensures that you have everything you need to make high-probability trading decisions with precision and speed. This indicator provides automatic signals, allowing you to trade confidently without constantly second-guessing your analysis.
Key Features and Components of the Quantum Scalper
1. Trend-Following Strategy (EMA Crossovers)
The trend-following strategy is at the core of the Quantum Scalper, providing a clear and reliable method to identify the current market direction. This strategy uses a dual Exponential Moving Average (EMA) system with two time periods:
Short-term EMA (8-period): Reacts quickly to price changes, capturing the immediate market sentiment.
Long-term EMA (21-period): Smoother and slower, providing a clearer view of the longer-term market trend.
How it works:
Bullish signal: When the short-term EMA crosses above the long-term EMA, this indicates a potential uptrend, suggesting it might be a good time to buy.
Bearish signal: When the short-term EMA crosses below the long-term EMA, this indicates a potential downtrend, suggesting it might be a good time to sell.
The EMA crossovers act as dynamic trend signals that adjust with the market, helping you identify the prevailing trend.
2. Momentum Indicators (RSI and MACD)
Momentum indicators help measure the strength of a market trend, and how likely it is to continue. The Quantum Scalper uses two powerful momentum indicators:
Relative Strength Index (RSI): This oscillator measures the strength of a trend by comparing recent gains to losses. It ranges from 0 to 100, indicating overbought or oversold conditions.
Overbought (above 70): Market may be due for a pullback, signaling a potential reversal or downtrend.
Oversold (below 30): Market may be due for a bounce, signaling a potential reversal or uptrend.
Moving Average Convergence Divergence (MACD): The MACD compares two EMAs (12 and 26 periods) to identify changes in momentum.
MACD Line: The difference between the two EMAs.
Signal Line: A 9-period EMA of the MACD Line.
MACD Histogram: The difference between the MACD Line and the Signal Line, providing a visual representation of momentum.
Bullish crossover: When the MACD crosses above the Signal Line, it signals increasing momentum in the uptrend.
Bearish crossover: When the MACD crosses below the Signal Line, it signals increasing momentum in the downtrend.
The RSI and MACD indicators work together, confirming the strength of the trend and identifying possible trend continuation or trend reversal points.
3. Volatility Analysis (ATR)
Volatility is a critical component for scalpers, as it helps define the market's price range and provides insights into risk management. The Average True Range (ATR) is used to measure market volatility by calculating the average range between high and low prices over a specific period (typically 14 periods).
High ATR: Indicates high volatility in the market, which is crucial for scalping, as it often correlates with larger price movements.
Low ATR: Indicates low volatility, suggesting a consolidation or range-bound market where trades might not be as profitable.
By analyzing ATR, the Quantum Scalper helps you determine the appropriate position size and risk level, making it easier to adjust your strategy according to the market's conditions.
4. Mean Reversion (Bollinger Bands)
The Bollinger Bands are used to identify overbought and oversold conditions relative to the market’s moving average. The bands consist of three components:
Middle Band (SMA): The 20-period Simple Moving Average (SMA) of the price.
Upper Band: The middle band plus a multiple of the standard deviation (usually 2 times).
Lower Band: The middle band minus a multiple of the standard deviation.
How it works:
Upper Band: When price touches or exceeds the upper band, the market is considered overbought, suggesting a potential mean reversion (price will likely come back to the mean or middle band).
Lower Band: When price touches or exceeds the lower band, the market is considered oversold, suggesting a potential mean reversion to the upside.
The Bollinger Bands are especially useful for identifying potential corrections or reversals after the market becomes overextended.
5. Trend Reversal (Parabolic SAR)
The Parabolic SAR (Stop and Reverse) indicator is a trend-following tool that helps identify potential trend reversals. The SAR is plotted as a series of dots above or below the price. The position of the dots indicates the current trend:
Above price: Indicates a downtrend.
Below price: Indicates an uptrend.
How it works:
When the price crosses above the SAR dots, the market could be entering an uptrend (bullish reversal).
When the price crosses below the SAR dots, the market could be entering a downtrend (bearish reversal).
The Parabolic SAR enhances the Quantum Scalper by giving real-time insight into trend changes, making it easier to catch trend reversals early.
6. Trend Strength (ADX)
The Average Directional Index (ADX) measures the strength of a trend, whether bullish or bearish. The ADX ranges from 0 to 100 and helps identify whether the market is trending or consolidating:
ADX > 25: Strong trend, either bullish or bearish.
ADX < 20: Weak trend or market consolidation (sideways movement).
The ADX confirms whether the market is strong enough to warrant a trade. It helps the Quantum Scalper avoid low-volatility environments and focus on high-probability trends.
7. Momentum (Stochastic Oscillator)
The Stochastic Oscillator measures the momentum of price relative to its price range over a specific period. It consists of two lines: %K (the fast line) and %D (the slow line, typically a 3-period moving average of %K).
Overbought (above 80): Market is likely overextended, and a potential reversal could occur.
Oversold (below 20): Market is likely overextended in the opposite direction, suggesting a potential reversal to the upside.
The Stochastic Oscillator is an important tool for timing entry and exit points, especially during periods of high momentum or overbought/oversold conditions.
How to Use the Quantum Scalper
Trend Direction:
Observe the EMA crossovers and Parabolic SAR dots to determine the trend direction.
Uptrend: Short-term EMA above the long-term EMA, and SAR dots below price.
Downtrend: Short-term EMA below the long-term EMA, and SAR dots above price.
Momentum:
Use RSI and MACD for confirmation:
Bullish momentum: RSI rising from oversold, MACD histogram positive.
Bearish momentum: RSI falling from overbought, MACD histogram negative.
Volatility:
Pay attention to the ATR for risk management.
High ATR: Indicates high volatility, use smaller position sizes if necessary.
Low ATR: Watch for consolidation and prepare for potential breakout opportunities.
Mean Reversion:
Watch the Bollinger Bands for potential reversals.
Price touches upper band: Consider taking short positions or prepare for a price pullback.
Price touches lower band: Consider taking long positions or prepare for a price bounce.
Trend Reversal:
Use Parabolic SAR to identify potential trend reversals.
If price moves from below SAR to above it, look for buy opportunities.
If price moves from above SAR to below it, look for sell opportunities.
Trend Strength:
Use ADX to confirm whether a strong trend is in place.
ADX above 25: Enter trades aligned with the strong trend.
ADX below 20: Avoid trades in low-trend, sideways markets.
Who Can Benefit from the Quantum Scalper?
Scalpers looking to profit from small price movements in fast-paced markets.
Day traders who need to quickly identify high-probability entry and exit points.
Traders who want a comprehensive, multi-strategy approach to market analysis, without having to use multiple indicators or switch between strategies.
Traders who are looking to enhance their risk management by incorporating volatility and trend strength analysis into their decision-making process.
RSI Candle Chart Indicator🔥 RSI Candle Chart 🔥
✅ Key Features
✔ RSI Candlestick Visualization → RSI values are displayed as candlesticks instead of a line, making it easier to interpret momentum shifts.
✔ Multi-Timeframe RSI → Allows RSI calculations from different timeframes for a broader market view.
✔ Overbought & Oversold Alerts → Get notified when RSI crosses key levels (default: 75 overbought, 25 oversold).
✔ Custom RSI Length & Source → Adjustable RSI period and source (close, open, high, etc.).
✔ Color-Coded RSI Candles →
🔵 Blue = RSI bullish candle (momentum increasing)
🔴 Red = RSI bearish candle (momentum decreasing)
✔ Clear Overbought & Oversold Zones → Helps spot potential reversals.
✔ Works on All Assets → Stocks, forex, crypto, and indices.
📊 How to Use in TradingView
📍 Adding the Indicator:
1️⃣ Open TradingView
2️⃣ Click on Indicators
3️⃣ Search for RSI Candle Chart
4️⃣ Click to add it to your chart
📍 Understanding RSI Candles:
Bullish RSI Candle (Blue) → RSI closed higher than it opened → Upward momentum.
Bearish RSI Candle (Red) → RSI closed lower than it opened → Downward momentum.
Long wicks → Indicate RSI volatility, potential reversals.
📍 Using Overbought & Oversold Levels:
RSI Above 75 (Overbought) → Market may be overextended → Potential reversal down.
RSI Below 25 (Oversold) → Market may be oversold → Potential reversal up.
Alerts will notify you when these levels are crossed.
📈 Best Usage Methods
1️⃣ Trend Confirmation
If price is rising and RSI Candles are blue (bullish) → Uptrend is strong.
If price is falling and RSI Candles are red (bearish) → Downtrend is strong.
2️⃣ Spot Reversals with RSI Divergence
Bearish Divergence: Price makes a new high, but RSI does not → Weak momentum → Possible downtrend.
Bullish Divergence: Price makes a new low, but RSI does not → Weak selling pressure → Possible uptrend.
3️⃣ Breakout Confirmation
Use RSI Candle Chart to confirm trend breakouts at support & resistance levels.
If RSI Candles flip color during a breakout, it signals momentum shift.
4️⃣ Multi-Timeframe RSI Strategy
Use higher timeframe RSI (4H, Daily) to confirm strong trends.
Then use lower timeframe RSI (15m, 1H) to find precise entry points.
🎯 Why Use RSI Candle Chart?
✅ More Visual than Traditional RSI Line → Candlesticks make RSI movements clearer.
✅ Better Trend Recognition → Quickly see RSI momentum shifts.
✅ Stronger Reversal Signals → RSI candles with wicks show volatility zones.
✅ Multi-Timeframe Support → Allows deeper analysis.
✅ Easy to Use for Any Market → Works for crypto, forex, stocks, and indices.
📌 Use RSI Candle Chart today & enhance your trading decisions! 🚀
RSI+StRSI+RVI+MFI+DMI+CCI+MACDH+OBV+Ichimoku Milky Way**Detailed Indicator Description: RSI+StRSI+RVI+MFI+DMI+CCI+MACDH+OBV+Ichimoku Milky Way**
### **General Information:**
The **RSI+StRSI+RVI+MFI+DMI+CCI+MACDH+OBV+Ichimoku Milky Way** indicator is an advanced technical analysis tool integrating multiple indicators for comprehensive market analysis.
### **Key Components:**
- **RSI (Relative Strength Index):** Measures trend strength and overbought/oversold conditions.
- **Stochastic RSI:** Identifies potential trend reversals.
- **RVI (Relative Volatility Index):** Assesses market volatility.
- **MFI (Money Flow Index):** Tracks buying and selling pressure.
- **DMI and ADX (Directional Movement Index):** Measure trend direction and strength.
- **CCI (Commodity Channel Index):** Highlights price deviations from averages.
- **MACD Histogram:** Displays momentum shifts.
- **OBV (On-Balance Volume):** Confirms trends through volume analysis.
- **Ichimoku:** Provides a comprehensive trend and support-resistance view.
### **Strategies and Signals:**
- **Ichimoku (2 types):** Cross-based trend strategies.
- **Entry/Exit Algorithms:** Generate signals using RSI, StRSI, CCI, DMI/ADX, MACD, OBV.
- **RSI Divergences:** Detects potential reversals through divergence analysis.
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**Подробное описание индикатора: RSI+StRSI+RVI+MFI+DMI+CCI+MACDH+OBV+Ichimoku Milky Way**
### **Общая информация:**
Индикатор **RSI+StRSI+RVI+MFI+DMI+CCI+MACDH+OBV+Ichimoku Milky Way** — это комплексный инструмент технического анализа, объединяющий ведущие осцилляторы, трендовые индикаторы и алгоритмы поиска точек входа и выхода.
### **Основные компоненты:**
- **RSI (Индекс относительной силы):** Оценивает силу тренда и зоны перекупленности/перепроданности.
- **Stochastic RSI (Стохастический RSI):** Определяет вероятные развороты тренда.
- **RVI (Индекс относительной волатильности):** Измеряет волатильность рынка.
- **MFI (Индекс денежного потока):** Анализирует объемы и давление покупателей.
- **DMI и ADX (Индексы направленного движения):** Оценивают силу и направление тренда.
- **CCI (Индекс товарного канала):** Показывает отклонение цены от средней.
- **MACD Histogram:** Подчеркивает изменения импульса.
- **OBV (Балансовый объем):** Подтверждает тренды через объемы.
- **Ichimoku:** Комплексно отображает тренд, уровни поддержки и сопротивления.
### **Стратегии и сигналы:**
- **Ichimoku (2 типа):** Стратегии на основе пересечений линий.
- **Алгоритмы открытия и закрытия позиций:** Используют сигналы от RSI, StRSI, CCI, DMI/ADX, MACD, OBV.
- **Дивергенции RSI:** Поддержка поиска расхождений.
Relative Performance SuiteOverview
The Relative Performance Suite (RPS) is a versatile and comprehensive indicator designed to evaluate an asset's performance relative to a benchmark. By offering multiple methods to measure performance, including Relative Performance, Alpha, and Price Ratio, this tool helps traders and investors assess asset strength, resilience, and overall behavior in different market conditions.
Key Features:
✅ Multiple Performance Measures:
Choose from various relative performance calculations, including:
Relative Performance:
Measures how much an asset has outperformed or underperformed its benchmark over a given period.
Relative Performance (Proportional):
A proportional version of relative performance,
factoring in scaling effects.
Relative Performance (MA Based):
Uses moving averages to smooth performance fluctuations.
Alpha:
A measure of an asset’s performance relative to what would be expected based on its beta and the benchmark’s return. It represents the excess return above the risk-free rate after adjusting for market risk.
Price Ratio:
Compares asset prices directly to determine relative value over time.
✅ Customizable Moving Averages:
Apply different moving average types (SMA, EMA, SMMA, WMA, VWMA) to smooth price inputs and refine calculations.
✅ Beta Calculation:
Includes a Beta measure used in Alpha calculation, which users can toggle the visibility of helping users understand an asset's sensitivity to market movements.
✅ Risk-Free Rate Adjustment:
Incorporate risk-free rates (e.g., US Treasury yields, Fed Funds Rate) for a more accurate calculation of Alpha.
✅ Logarithmic Returns Option:
Users can switch between standard returns and log returns for more refined performance analysis.
✅ Dynamic Color Coding:
Identify outperformance or underperformance with intuitive color coding.
Option to color bars based on relative strength, making chart analysis easier.
✅ Customizable Tables for Data Display:
Overview table summarizing key metrics.
Explanation table offering insights into how values are derived.
How to Use:
Select a Benchmark: Choose a comparison symbol (e.g., TOTAL or SPX ).
Pick a Performance Metric: Use different modes to analyze relative performance.
Customize Calculation Methods: Adjust moving averages, timeframes, and log returns based on preference.
Interpret the Colors & Tables: Utilize the dynamic coloring and tables to quickly assess market conditions.
Ideal For:
Traders looking to compare individual asset performance against an index or benchmark.
Investors analyzing Alpha & Beta to understand risk-adjusted returns.
Market analysts who want a visually intuitive and data-rich performance tracking tool.
This indicator provides a powerful and flexible way to track relative asset strength, helping users make more informed trading decisions.
Delta Volume Histogram with Filters and AlertsОписание (Russian):
Индикатор "Delta Volume Histogram" определяет дельту объёма и отображает её в виде гистограммы. Он показывает разницу между объёмами покупок и продаж, с возможностью фильтрации значений и вызова алертов.
Функции:
Фильтр для отображения только значений выше заданного порога.
Режим отображения всех значений выше нуля.
Алерт при появлении дельты, превышающей установленный фильтр.
Description (English):
The "Delta Volume Histogram" indicator calculates volume delta and displays it as a histogram. It highlights the difference between buy and sell volumes, with options for filtering values and triggering alerts.
Features:
Filter to display only values above a specified threshold.
**Features (continued):**
- Mode to display both positive and negative delta values above the zero line for better visualization.
- Alert functionality that notifies you when the delta volume exceeds the specified filter value.
This indicator is ideal for traders who want to track buying and selling pressure in the market, helping to identify strong movements and potential reversals based on volume delta analysis.
Support and Resistance with Buy/Sell SignalsSwing Highs and Lows:
The script identifies swing highs and lows using the ta.highest and ta.lowest functions over a user-defined swing_length period.
Swing highs are treated as resistance levels.
Swing lows are treated as support levels.
Buy Signal:
A buy signal is generated when the price closes above the resistance level (ta.crossover(close, swing_high)).
Sell Signal:
A sell signal is generated when the price closes below the support level (ta.crossunder(close, swing_low)).
Plotting:
Support and resistance levels are plotted on the chart.
Buy and sell signals are displayed as labels on the chart.
Background Highlighting:
The background is highlighted in green for buy signals and red for sell signals (optional).
Tri-Fold BB(Trend-Strength)*indicator isn't preset to look as displayed, do so accordingly*
"Tri-Fold BB" is an indicator that utilizes three Bollinger Bands, each of different length as a way to represent trend strength. This allows one to see the trend strength relative to multiple timeframes: short, mid, and long term trend strength. This is helpful because it provides the user with a holistic view of the asset.
How it Works
The indicator is preset to utilizing three different Bollinger Bands with length: 20, 50, and 100. This indicator simply plots the price of an asset relative to its specified Bollinger Band. For an example, if the price of the asset were to surpass its 20BB standard deviations, it would display so accordingly, though from the perspective of lets say... the 100, it may have looked like it barely moved up a standard deviation relative to 100BB because the standard deviations of a 100BB are more spread out.
Its important to view the trend strength from multiple lengths because it allows one to gauge whether the short term trend strength is likely to hold or not. A better way to speculate on asset behavior.
Another way to view this indicator is similar to that of the BB% indicator, except this indicator allows us to view price relative to standard deviations, across multiple timeframes. More holistic, more utility provided.
Basic Understanding:
Each line = Standard Deviation (3 upper, 3 lower)
Mid-Line = Basis relative to BB(20sma, 50sma, 100sma)
If price goes under Basis, that means it crossed below their specified sma(significant bull or bear signal)
I've also added HMA's relative to each BB incase one were to decide in creating some sort of trading strategy with it. I personally don't use them but I understand that it could be helpful to some so I left it in there. If you don't like them then simply deselect them and then save your desired setup as default.
In regard to regular indications of bullish or bearishness, i'd like to add that I use this indicator for the sole purpose of providing an idea of trend strength. I personally am unsure to state that cross overs directly indicate that there is a bull or bear move because I've seen instances where the price of an asset went in a direction contrary to what it 'should' have if we were to use that cross over strategy. Though of course, feel free to use this indicator as desired.
Advanced Supertrend Enhanced ADXEnhanced Supertrend ADX Indicator - Technical Documentation
Overview
The Enhanced Supertrend ADX indicator combines ADX directional strength with Supertrend trend-following capabilities, creating a comprehensive trend detection system. It's enhanced with normalization techniques and multiple filters to provide reliable trading signals.
Key Features and Components
The indicator incorporates three main components:
Core ADX and Supertrend Fusion
Uses a shorter ADX period for increased sensitivity
Integrates Supertrend signals for trend confirmation
Applies a long-term moving average for trend context
Advanced Filtering System
Volatility filter: Identifies periods of significant market movement
Momentum filter: Confirms the strength and sustainability of trends
Lateral market detection: Identifies ranging market conditions
Data Normalization
Standardizes indicator readings across different instruments
Makes signals comparable across various market conditions
Reduces extreme values and false signals
Model Assumptions
The indicator operates under several key assumptions:
Market Behavior
Markets alternate between trending and lateral phases
Strong trends correlate with increased volatility
Price momentum confirms trend strength
Market transitions follow identifiable patterns
Signal Reliability
Low ADX values indicate lateral markets
Valid signals require both volatility and momentum confirmation
Multi-filter confirmation increases signal reliability
Price normalization enhances signal quality
Trading Applications
The indicator supports different trading approaches:
Trend Trading
Strong signals when all filters align
Clear distinction between bullish and bearish trends
Momentum confirmation for trend continuation
Range Trading
Clear identification of lateral markets
Band-based trading boundaries
Reduced false breakout signals
Transition Trading
Early identification of trend-to-range transitions
Clear signals for range-to-trend transitions
Momentum-based confirmation of breakouts
Risk Considerations
Important factors to consider:
Signal Limitations
Potential delay in fast-moving markets
False signals during extreme volatility
Time frame dependency
Best Practices
Use in conjunction with other indicators
Apply proper position sizing
Focus on liquid instruments
Consider market context
Performance Characteristics
The indicator shows optimal performance under specific conditions:
Ideal Conditions
Daily timeframe analysis
Clear trending market phases
Liquid market environments
Normal volatility conditions
Challenging Conditions
Choppy market conditions
Extremely low volatility
Highly volatile markets
Illiquid instruments
Implementation Recommendations
For optimal use, consider:
Market Selection
Best suited for major markets
Requires adequate liquidity
Works well with trending instruments
Timeframe Selection
Primary: Daily charts
Secondary: 4-hour charts
Caution on lower timeframes
Risk Management
Use appropriate position sizing
Set clear stop-loss levels
Consider market volatility
Monitor overall exposure
This indicator serves as a comprehensive tool for market analysis, combining traditional technical analysis with modern filtering techniques. Its effectiveness depends on proper implementation and understanding of market conditions.
SNR Quarter Pointsfor btmm swingers
this is qp /quater point find in trading view
Here's a description for your TradingView Pine Script indicator:
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**Support & Resistance (SNR) Lines Indicator**
This TradingView indicator automatically draws Support and Resistance (SNR) lines on the chart at every 250-pip level, starting from 0.0000. The indicator aims to help traders identify key price levels where the market is likely to experience reversal or consolidation. By plotting lines at regular intervals, the script provides a clear visual representation of potential support and resistance zones, aiding traders in making more informed trading decisions. The levels are dynamically adjusted based on market price movement, ensuring they stay relevant for active trading.
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Let me know if you’d like to tweak it further!
Opening Range, Initial Balance, Opening Price, Pre-market Levels### Description of the Indicator: **Opening Range, Initial Balance, Opening Price, Pre-market Levels**
This custom TradingView indicator provides a comprehensive view of key price levels for intraday trading, specifically designed to track important levels from the Opening Range (OR), Initial Balance (IB), Opening Price (OP), and Pre-market session (PM). These levels are essential for traders to gauge potential market movements and identify critical areas of support and resistance.
#### **Features:**
1. **Opening Range (OR):**
- This is the high and low of the first 30 minutes of the regular market session (09:30 - 10:00 EST).
- The OR high and low act as significant levels that may influence price movement for the rest of the day.
- The mid-level of the Opening Range (OR Mid) is also plotted to give a more detailed view of potential price action.
2. **Initial Balance (IB):**
- The Initial Balance is the range created during the first hour of market activity (09:30 - 10:30 EST).
- This range often sets the tone for the market's direction. The IB high and low, along with the IB midline, are plotted for quick reference.
3. **Opening Price (OP):**
- The opening price of the market is marked as a circle and labeled "OP."
- This level provides context for market sentiment when compared to the high and low levels.
4. **Pre-market Levels (PM):**
- The pre-market session (04:00 - 09:30 EST) has its own important levels that are calculated for the high, low, and mid range (PM High, PM Low, and PM Mid).
- These levels are plotted and are useful for traders to understand where the market stood before the regular session opened.
#### **Customization Options:**
- **Exchange Timezone:** You can choose whether to display the times in the exchange's local timezone or in your own preferred timezone.
- **Mid Levels Display:** You can toggle whether the mid levels for each range (OR, IB, PM) should be shown on the chart.
- **Level Color Change:** The colors of the plotted levels (high, low, mid) change based on whether the price is above or below the respective level, making it easy to visualize potential support and resistance.
- **Label Positions:** The position of the labels (OR, IB, OP, PM) on the chart can be customized to avoid overlap with other data points.
#### **Key Use Cases:**
- **Intraday Trend Analysis:** Use the OR and IB to identify key levels for the day, providing insights into the possible trend or range for the day.
- **Pre-market Insights:** The PM levels are crucial for understanding where the market stood during the pre-market hours and can be used as reference points during the regular session.
- **Potential Support and Resistance:** The high and low levels of the OR, IB, and PM sessions can act as potential support or resistance, which are useful for setting stop-loss and take-profit levels.
#### **How to Use:**
- Pay attention to the levels provided for OR, IB, and PM as potential entry and exit points.
- Watch for breakouts or reversals around these levels, especially when combined with other technical indicators or price action patterns.
- The mid levels offer an additional reference to assess price direction or identify possible areas of consolidation.
This indicator is perfect for day traders who rely on key intraday levels and pre-market activity to make informed trading decisions. It helps to streamline the process of identifying potential breakouts, reversals, and ranges in the market.
Enhanced Momentum Divergence Radar+ [Alpha Extract]Enhanced Momentum Divergence Radar+
The AE's Enhanced Momentum Divergence Radar+ is designed to detect momentum shifts and divergence patterns, helping traders identify potential trend reversals and continuation points. By normalizing momentum readings and applying divergence detection, it enhances market timing for entries and exits.
🔶 CALCULATION
The indicator calculates normalized momentum using a combination of Detrended Price Oscillator (DPO) and volatility-adjusted smoothing techniques. It highlights overbought and oversold conditions while identifying bullish and bearish divergences.
Core Calculation:
ATR-based volatility adjustment ensures dynamic sensitivity.
DPO is derived from the price minus a simple moving average (SMA) to isolate cyclical movements.
Momentum score is normalized using historical max values for consistent scaling.
Thresholds are dynamically adjusted based on average absolute momentum.
dpo = close - ma
sd = (dpo / volatility) * 100
normalizedSD = sd / maxAbsSD
The momentum score is plotted as a histogram, where:
Green bars indicate strong upward momentum.
Red bars indicate strong downward momentum.
Neutral values fade into gray.
🔶 DETAILS
📊 Visual Features:
Histogram bars dynamically color-coded based on momentum strength.
Threshold bands provide reference points for overbought and oversold levels.
Divergence markers (Bullish/Bearish & Hidden Bullish/Bearish) highlight key reversal signals.
🛠 How Divergences Work:
Bullish Divergence (𝓞𝓢): Price makes a lower low while momentum makes a higher low.
Bearish Divergence (𝓞𝓑): Price makes a higher high while momentum makes a lower high.
Hidden Divergences confirm trend continuations rather than reversals.
📌 Example of Divergence Logic:
bullishDiv = (low == priceLow) and (sd > momentumLow)
bearishDiv = (high == priceHigh) and (sd < momentumHigh)
🔶 EXAMPLES
📍 The chart below illustrates price reacting to momentum divergences, identifying potential tops and bottoms before major price moves.
📌 Example snapshots:
A bullish divergence leading to a reversal in price.
A bearish divergence marking the beginning of a downtrend.
🔶 SETTINGS
🔹 Customization Options:
Lookback Period: Adjusts sensitivity to market cycles.
Smoothing Period: Controls signal clarity.
Color Options: Enables bar coloring based on momentum strength.
Divergence Sensitivity: Choose to display hidden divergences.
Trend Strength & Direction📌 Assumptions of the "Trend Strength & Direction" Model
This model is designed to measure both trend strength and trend direction, using a modified version of the ADX (Average Directional Index) while also identifying ranging markets. Below is a detailed breakdown of all key assumptions.
1️⃣ Using ADX as the Basis for Trend Strength
Why ADX?
The ADX (Average Directional Index) is one of the most commonly used indicators for measuring trend strength, regardless of direction.
How is it calculated?
ATR (Average True Range) is used to normalize volatility.
Directional movement (+DM and -DM) is smoothed with an Exponential Moving Average (EMA) to obtain the +DI (Positive Directional Indicator) and -DI (Negative Directional Indicator).
Trend strength is derived by normalizing the absolute difference between +DI and -DI, divided by the sum of both.
🔹 Assumption: A high ADX means the trend is strong (whether bullish or bearish).
2️⃣ 50-Period Moving Average for Trend Strength
Why add a moving average?
ADX can be very volatile in the short term.
A 50-period SMA (Simple Moving Average) is used to smooth out trend strength and identify sustained trends.
🔹 Assumption: The SMA reduces false signals caused by short-term ADX spikes.
3️⃣ Identifying a Ranging Market (ADX Below 35)
How is a ranging market defined?
If the trend strength (ADX) is below 35, the market is considered "ranging".
The 35-level threshold is chosen empirically since ADX values below this level often indicate a lack of strong price direction.
When the market is ranging, the background color turns yellow.
🔹 Assumption: ADX < 35 indicates a sideways market, so the indicator colors the background yellow.
4️⃣ Determining Trend Direction Using +DI and -DI
How is direction determined?
If +DI > -DI, the trend is bullish (green).
If -DI > +DI, the trend is bearish (red).
If ADX is below 35, the market is ranging and turns yellow.
🔹 Assumption: Trend direction is determined by the relationship between +DI and -DI, not ADX values.
5️⃣ Background Color to Highlight Market Conditions
Yellow background if ADX < 35 → Ranging market.
Green background if ADX ≥ 35 and bullish.
Red background if ADX ≥ 35 and bearish.
🔹 Assumption: The background color visually differentiates trending vs. ranging phases.
6️⃣ Reference Levels for ADX
Lateral Threshold (35) → Below this, the trend is weak or ranging.
Neutral Threshold (50) → Intermediate level indicating moderate trend strength.
Strong Trend Threshold (75) → Above this, the trend is very strong and possibly overextended.
🔹 Assumption: ADX above 75 indicates a very strong trend, potentially near exhaustion.
🔹 Summary of Key Assumptions
1️⃣ ADX is the core strength metric → Strong trends when ADX > 35, weak below 35.
2️⃣ The 50-period SMA smooths out volatility → Prevents false signals.
3️⃣ Ranging markets are defined as ADX < 35 → Yellow background color.
4️⃣ Trend direction is based on +DI vs. -DI → Green = bullish, Red = bearish.
5️⃣ Background colors enhance readability → Helps distinguish different market phases.
6️⃣ ADX reference levels (35, 50, 75) indicate increasing trend strength.
Conclusion
This model combines ADX with a moving average and color-based logic to highlight trend strength, trend direction, and sideways markets. It helps traders quickly identify the best conditions for entering or exiting trades. 🚀
Smart Money Index + True Strength IndexThe Smart Money Index + True Strength Index indicator is a combination of two popular technical analysis indicators: the Smart Money Index (SMI) and the True Strength Index (TSI). This combined indicator helps traders identify potential entry points for long and short positions based on signals from both indexes.
Main Components:
Smart Money Index (SMI):
The SMI measures the difference between the closing and opening price of a candle multiplied by the trading volume over a certain period of time. This allows you to assess the activity of large players ("smart money") in the market. If the SMI value is above a certain threshold (smiThreshold), it may indicate a bullish trend, and if lower, it may indicate a bearish trend.
True Strength Index (TSI):
The TSI is an oscillator that measures the strength of a trend by comparing the price change of the current bar with the previous bar. It uses two exponential moving averages (EMAS) to smooth the data. TSI values can fluctuate around zero, with values above the overbought level indicating a possible downward correction, and values below the oversold level signaling a possible upward correction.
Parameters:
SMI Length: Defines the number of candles used to calculate the average SMI value. The default value is 14.
SMI Threshold: A threshold value that is used to determine a buy or sell signal. The default value is 0.
Length of the first TSI smoothing (tsiLength1): The length of the first EMA for calculating TSI. The default value is 25.
Second TSI smoothing length (tsiLength2): The length of the second EMA for additional smoothing of TSI values. The default value is 13.
TSI Overbought level: The level at which the market is considered to be overbought. The default value is 25.
Oversold level TSI: The level at which it is considered that the market is in an oversold state. The default value is -25.
Logic of operation:
SMI calculation:
First, the difference between the closing and opening price of each candle (close - open) is calculated.
This difference is then multiplied by the trading volume.
The resulting product is averaged using a simple moving average (SMA) over a specified period (smiLength).
Calculation of TSI:
The price change relative to the previous bar is calculated (close - close ).
The first EMA with the length tsiLength1 is applied.
Next, a second EMA with a length of tsiLength2 is applied to obtain the final TSI value.
The absolute value of price changes is calculated in the same way, and two emas are also applied.
The final TSI index is calculated as the ratio of these two values multiplied by 100.
Graphical representation:
The SMI and TSI lines are plotted on the graph along with their respective thresholds.
For SMI, the line is drawn in orange, and the threshold level is dotted in gray.
For the TSI, the line is plotted in blue, the overbought and oversold levels are indicated by red and green dotted lines, respectively.
Conditions for buy/sell signals:
A buy (long) signal is generated when:
SMI is greater than the threshold (smi > smiThreshold)
TSI crosses the oversold level from bottom to top (ta.crossover(tsi, oversold)).
A sell (short) signal is generated when:
SMI is less than the threshold (smi < smiThreshold)
TSI crosses the overbought level from top to bottom (ta.crossunder(tsi, overbought)).
Signal display:
When the conditions for a long or short are met, labels labeled "LONG" or "SHORT" appear on the chart.
The label for the long is located under the candle and is colored green, and for the short it is above the candle and is colored red.
Notification generation:
The indicator also supports notifications via the TradingView platform. Notifications are sent when conditions arise for a long or short position.
This combined indicator provides the trader with the opportunity to use both SMI and TSI signals simultaneously, which can improve the accuracy of trading decisions.
Bollinger Bands with Narrow ConsolidationThe indicator is based on the standard Bollinger Bands indicator in TradingView. Its main difference is the ability to display narrow consolidation zones (with an adjustable percentage) and generate signals in these zones.
Narrow consolidation zones can be considered as a signal before the start of a strong trend, whether upward or downward.
Индикатор построен на стандартном индикаторе полос боллинджера в трейдинг вью. Его отличие заключается в том, что здесь есть возможность отображения зон узкой консолидации (процент настраивается) и генерации сигналов на этих зонах.
Зоны узкой консолидации можно рассматривать как сигнал перед началом сильного треда как восходящего, так и нисходящего.
Fractal Trend Anticipator (FTA)How to Use FTA
Purpose:
FTA is designed to detect when a consolidating (or choppy) market—with a high choppiness index—is poised to break into a trend as indicated by an RSI crossover.
Signals:
Bullish Breakout: When the Choppiness Index is above your set threshold and the RSI crosses upward over 50, a bullish arrow (triangle up) appears below the bar.
Bearish Breakout: Conversely, when the RSI crosses downward from above 50 under high choppiness, a bearish arrow (triangle down) appears above the bar.
Trading Insight:
In crypto markets, when price is range-bound, a sudden release of momentum can be captured early by FTA. Use these signals as early alerts to join moves as they begin—whether you plan to ride a short-term spike or a medium-term trend.
Feel free to adjust the and parameters to suit your trading style and asset volatility. Enjoy trading with your updated Fractal Trend Anticipator!
Volatility-Adjusted Momentum Oscillator (VAMO)Concept & Rationale: This indicator combines momentum and volatility into one oscillator. The idea is that a price move accompanied by high volatility has greater significance. We use Rate of Change (ROC) for momentum and Average True Range (ATR) for volatility, multiplying them to gauge “volatility-weighted momentum.” This concept is inspired by the Weighted Momentum & Volatility Indicator, which multiplies normalized ROC and ATR values. The result is shown as a histogram oscillating around zero – rising green bars indicate bullish momentum, while falling red bars indicate bearish momentum. When the histogram crosses above or below zero, it provides clear buy/sell signals. Higher magnitude bars suggest a stronger trend move. Crypto markets often see volatility spikes preceding big moves, so VAMO aims to capture those moments when momentum and volatility align for a powerful breakout.
Key Features:
Momentum-Volatility Fusion: Measures momentum (price ROC) adjusted by volatility (ATR). Strong trends register prominently only when price change is significant and volatility is elevated.
Intuitive Histogram: Plotted as a color-coded histogram around a zero line – green bars above zero for bullish trends, red bars below zero for bearish. This makes it easy to visualize trend strength and direction at a glance.
Clear Signals: A cross above 0 signals a buy, and below 0 signals a sell. Traders can also watch for the histogram peaking and then shrinking as an early sign of a trend reversal (e.g. bars switching from growing to shrinking while still positive could mean bullish momentum is waning).
Optimized for Volatility: Because ATR is built-in, the oscillator naturally adapts to crypto volatility. In calm periods, signals will be smaller (reducing noise), whereas during volatile swings the indicator accentuates the move, helping predict big price swings.
Customization: The lookback period is adjustable. Shorter periods (e.g. 5-10) make it more sensitive for scalping, while longer periods (20+) smooth it out for swing trading.
How to Use: When VAMO bars turn green and push above zero, it indicates bullish momentum with strong volatility – a cue that price is likely to rally in the near term. Conversely, red bars below zero signal bearish pressure. For example, if a coin’s price has been flat and then VAMO spikes green above zero, it suggests an explosive upward move is brewing. Traders can enter on the zero-line cross (or on the first green bar) and consider exiting when the histogram peaks and starts shrinking (signaling momentum slowdown). In sideways markets, VAMO will hover near zero – staying out during those low-volatility periods helps avoid false signals. This indicator’s strength is catching the moment when a quiet market turns volatile in one direction, which often precedes the next few candlesticks of sustained movement.
Zerg range filter credit to Kivanc turkish pinecoder for base indicator i reworked with chatgpt and some common sense
this indicator similar to the ADX but i think its better visually to keep you out of market conditions that are unfavorable.
i made original indicator to work in a 0-100 enviroment (before it was a zero middle line oscillator) and added background coloring that has a lower and higher threshold setting. i also added a smoothing moving average. this will trigger threshold levels (not the core oscillator)
above higher level would indicate trending market conditions and its purple. these are the areas where you might want to buy low period moving average bounces like 10 or 21 ema
lower band will paint indicator background blue and its cold, meaning range bound trade ideas are likely play out better. selling resistance and buying horizontal supports for example.
you are encourage to play with lookback period and change thresholds until you find something that works for your trading.
on the picture above it illustrates how i intended its usage.
it also shows divergences which was not intended but also a function.
you can also observe as the oscillator likes to coil up into a tight range (horizontal or a wedge formation) and when these break their trendlines explosive moves are incoming usually.
if you have a trading system and can generate a lot of signals but want to filter out some loser trades this could be the indicator you were looking for.
i hope this will be inline with community guidelines. my other publishing got removed unfortunately