Range Filtered Trend Signals [AlgoAlpha]Introducing the Range Filtered Trend Signals , a cutting-edge trading indicator designed to detect market trends and ranging conditions with high accuracy. This indicator leverages a combination of Kalman filtering and Supertrend analysis to smooth out price fluctuations while maintaining responsiveness to trend shifts. By incorporating volatility-based range filtering, it ensures traders can differentiate between trending and ranging conditions effectively, reducing false signals and enhancing trade decision-making.
:key: Key Features
:white_check_mark: Kalman Filter Smoothing – Minimizes market noise while preserving trend clarity.
:bar_chart: Supertrend Integration – A dynamic trend-following mechanism for spotting reversals.
:fire: Volatility-Based Range Detection – Detects trending vs. ranging conditions with precision.
:art: Color-Coded Trend Signals – Instantly recognize bullish, bearish, and ranging market states.
:gear: Customizable Inputs – Fine-tune Kalman parameters, Supertrend settings, and color themes to match your strategy.
:bell: Alerts for Trend Shifts – Get real-time notifications when market conditions change!
:tools: How to Use
Add the Indicator – Click the star icon to add it to your TradingView favorites.
Analyze Market Conditions – Observe the color-coded signals and range boundaries to identify trend strength and direction.
Use Alerts for Trade Execution – Set alerts for trend shifts and market conditions to stay ahead without constantly monitoring charts.
:mag: How It Works
The Kalman filter smooths price fluctuations by dynamically adjusting its weighting based on market volatility. It helps remove noise while keeping the signal reactive to trend changes. The Supertrend calculation is then applied to the filtered price data, providing a robust trend-following mechanism. To enhance signal accuracy, a volatility-weighted range filter is incorporated, creating upper and lower boundaries that define trend conditions. When price breaks out of these boundaries, the indicator confirms trend continuation, while signals within the range indicate market consolidation. Traders can leverage this tool to enhance trade timing, filter false breakouts, and identify optimal entry/exit zones.
Analisis Tren
G-FRAMA | QuantEdgeBIntroducing G-FRAMA by QuantEdgeB
Overview
The Gaussian FRAMA (G-FRAMA) is an adaptive trend-following indicator that leverages the power of Fractal Adaptive Moving Averages (FRAMA), enhanced with a Gaussian filter for noise reduction and an ATR-based dynamic band for trade signal confirmation. This combination results in a highly responsive moving average that adapts to market volatility while filtering out insignificant price movements.
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1. Key Features
- 📈 Gaussian Smoothing – Utilizes a Gaussian filter to refine price input, reducing short-term noise while maintaining responsiveness.
- 📊 Fractal Adaptive Moving Average (FRAMA) – A self-adjusting moving average that adapts its sensitivity to market trends.
- 📉 ATR-Based Volatility Bands – Dynamic upper and lower bands based on the Average True Range (ATR), improving signal reliability.
- ⚡ Adaptive Trend Signals – Automatically detects shifts in market structure by evaluating price in relation to FRAMA and its ATR bands.
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2. How It Works
- Gaussian Filtering
The Gaussian function preprocesses the price data, giving more weight to recent values and smoothing fluctuations. This reduces whipsaws and allows the FRAMA calculation to focus on meaningful trend developments.
- Fractal Adaptive Moving Average (FRAMA)
Unlike traditional moving averages, FRAMA uses fractal dimension calculations to adjust its smoothing factor dynamically. In trending markets, it reacts faster, while in sideways conditions, it reduces sensitivity, filtering out noise.
- ATR-Based Volatility Bands
ATR is applied to determine upper and lower thresholds around FRAMA:
- 🔹 Long Condition: Price closes above FRAMA + ATR*Multiplier
- 🔻 Short Condition: Price closes below FRAMA - ATR
This setup ensures entries are volatility-adjusted, preventing premature exits or false signals in choppy conditions.
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3. Use Cases
✔ Adaptive Trend Trading – Automatically adjusts to different market conditions, making it ideal for both short-term and long-term traders.
✔ Noise-Filtered Entries – Gaussian smoothing prevents false breakouts, allowing for cleaner entries.
✔ Breakout & Volatility Strategies – The ATR bands confirm valid price movements, reducing false signals.
✔ Smooth but Aggressive Shorts – While the indicator is smooth in overall trend detection, it reacts aggressively to downside moves, making it well-suited for traders focusing on short opportunities.
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4. Customization Options
- Gaussian Filter Settings – Adjust length & sigma to fine-tune the smoothness of the input price. (Default: Gaussian length = 4, Gaussian sigma = 2.0, Gaussian source = close)
- FRAMA Length & Limits – Modify how quickly FRAMA reacts to price changes.(Default: Base FRAMA = 20, Upper FRAMA Limit = 8, Lower FRAMA Limit = 40)
- ATR Multiplier – Control how wide the volatility bands are for long/short entries.(Default: ATR Length = 14, ATR Multiplier = 1.9)
- Color Themes – Multiple visual styles to match different trading environments.
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Conclusion
The G-FRAMA is an intelligent trend-following tool that combines the adaptability of FRAMA with the precision of Gaussian filtering and volatility-based confirmation. It is versatile across different timeframes and asset classes, offering traders an edge in trend detection and trade execution.
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🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Rick Auto FiboIndicador de Fibo Automatica ajustavel ao periodo, com niveis de entradas e alvos baseados em fibonacci.
Automatic Fibo Indicator adjustable to the period, with entry levels and targets based on Fibonacci
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.
Son Model ICT [TradingFinder] HTF DOL H1 + Sweep M15 + FVG M1🔵 Introduction
The ICT Son Model setup is a precise trading strategy based on market structure and liquidity, implemented across multiple timeframes. This setup first identifies a liquidity level in the 1-hour (1H) timeframe and then confirms a Market Structure Shift (MSS) in the 5-minute (5M) timeframe to validate the trend. After confirmation, the price forms a new swing in the 5-minute timeframe, absorbing liquidity.
Once this level is broken, traders typically drop to the 30-second (30s) timeframe and enter trades based on a Fair Value Gap (FVG). However, since access to the 30-second timeframe is not available to most traders, we take the entry signal directly from the 5-minute timeframe, using the same liquidity zones and confirmed breakouts to execute trades. This approach simplifies execution and makes the strategy accessible to all traders.
This model operates in two setups :
Bullish ICT Son Model and Bearish ICT Son Model. In the bullish setup, liquidity is first accumulated at the lows of the 1-hour timeframe, and after confirming a market structure shift, a long position is initiated. Conversely, in the bearish setup, liquidity is first drawn from higher levels, and upon confirmation of a bearish trend, a short position is executed.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The ICT Son Model setup is designed around liquidity analysis and market structure shifts and can be applied in both bullish and bearish market conditions. The strategy first identifies a liquidity level in the 1-hour (1H) timeframe and then confirms a Market Structure Shift (MSS) in the 5-minute (5M) timeframe.
After this shift, the price forms a new swing, absorbing liquidity. When this level is broken in the 5-minute timeframe, the trader enters based on a Fair Value Gap (FVG). While the ideal entry is in the 30-second (30s) timeframe, due to accessibility constraints, we take entry signals directly from the 5-minute timeframe.
🟣 Bullish Setup
In the Bullish ICT Son Model, the 1-hour timeframe first identifies liquidity at the market lows, where price sweeps this level to absorb liquidity. Then, in the 5-minute timeframe, an MSS confirms the bullish shift.
After confirmation, the price forms a new swing, absorbing liquidity at a higher level. The price then retraces into a Fair Value Gap (FVG) created in the 5-minute timeframe, where the trader enters a long position, placing the stop-loss below the FVG.
🟣 Bearish Setup
In the Bearish ICT Son Model, liquidity at higher market levels is identified in the 1-hour timeframe, where price sweeps these levels to absorb liquidity. Then, in the 5-minute timeframe, an MSS confirms the bearish trend.
After confirmation, the price forms a new swing, absorbing liquidity at a lower level. The price then retraces into a Fair Value Gap (FVG) created in the 5-minute timeframe, where the trader enters a short position, placing the stop-loss above the FVG.
🔵 Settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🔵 Conclusion
The ICT Son Model setup is a structured and precise method for trade execution based on liquidity analysis and market structure shifts. This strategy first identifies a liquidity level in the 1-hour timeframe and then confirms a trend shift using the 5-minute timeframe.
Trade entries are executed based on Fair Value Gaps (FVGs), which highlight optimal entry points. By applying this model, traders can leverage existing market liquidity to enter high-probability trades. The bullish setup activates when liquidity is swept from market lows and a market structure shift confirms an upward trend, whereas the bearish setup is used when liquidity is drawn from market highs, confirming a downtrend.
This approach enables traders to identify high-probability trade setups with greater precision compared to many other strategies. Additionally, since access to the 30-second timeframe is limited, the strategy remains fully functional in the 5-minute timeframe, making it more practical and accessible for a wider range of traders.
Blockchain Fundamentals: Liquidity Cycle MomentumLiquidity Cycle Momentum Indicator
Overview:
This indicator analyzes global liquidity trends by calculating a unique Liquidity Index and measuring its year-over-year (YoY) percentage change. It then applies a momentum oscillator to the YoY change, providing insights into the cyclical momentum of liquidity. The indicator incorporates a limited historical data workaround to ensure accurate calculations even when the chart’s history is short.
Features Breakdown:
1. Limited Historical Data Workaround
Function: The limit(length) function adjusts the lookback period when there isn’t enough historical data (i.e., near the beginning of the chart), ensuring that calculations do not break due to insufficient data.
2. Global Liquidity Calculation
Data Sources:
TVC:CN10Y (10-year yield from China)
TVC:DXY (US Dollar Index)
ECONOMICS:USCBBS (US Central Bank Balance Sheet)
FRED:JPNASSETS (Japanese assets)
ECONOMICS:CNCBBS (Chinese Central Bank Balance Sheet)
FRED:ECBASSETSW (ECB assets)
Calculation Methodology:
A ratio is computed (cn10y / dxy) to adjust for currency influences.
The Liquidity Index is then derived by multiplying this ratio with the sum of the other liquidity components.
3. Year-over-Year (YoY) Percent Change
Computation:
The indicator determines the number of bars that approximately represent one year.
It then compares the current Liquidity Index to its value one year ago, calculating the YoY percentage change.
4. Momentum Oscillator on YoY Change
Oscillator Components:
1. Calculated using the Chande Momentum Oscillator (CMO) applied to the YoY percent change with a user-defined momentum length.
2. A weighted moving average (WMA) that smooths the momentum signal.
3. Overbought and Oversold zones
Signal Generation:
Buy Signal: Triggered when the momentum crosses upward from an oversold condition, suggesting a potential upward shift in liquidity momentum.
Sell Signal: Triggered when crosses below an overbought condition, indicating potential downward momentum.
State Management:
The indicator maintains a state variable to avoid repeated signals, ensuring that a new buy or sell signal is only generated when there’s a clear change in momentum.
5. Visual Presentation and Alerts
Plots:
The oscillator value and signalline are plotted for visual analysis.
Overbought and oversold levels are marked with dashed horizontal lines.
Signal Markers:
Buy and sell signals are marked with green and maroon circles, respectively.
Background Coloration:
Optionally, the chart’s background bars are colored (yellow for buy signals and fuchsia for sell signals) to enhance visual cues when signals are triggered.
Conclusion
In summary, the Liquidity Cycle Momentum Indicator provides a robust framework to analyze liquidity trends by combining global liquidity data, YoY changes, and momentum oscillation. This makes it an effective tool for traders and analysts looking to identify cyclical shifts in liquidity conditions and potential turning points in the market.
MTF Support & Resistance📌 Multi-Timeframe Support & Resistance (MTF S&R) Indicator
🔎 Overview:
The MTF Support & Resistance Indicator is a powerful tool designed to help traders identify critical price levels where the market is likely to react. This indicator automatically detects support and resistance zones based on a user-defined lookback period and extends these levels dynamically on the chart. Additionally, it provides multi-timeframe (MTF) support and resistance zones, allowing traders to view higher timeframe key levels alongside their current timeframe.
Support and resistance levels are crucial for traders as they help in determining potential reversal points, breakout zones, and trend continuation signals. By incorporating multi-timeframe analysis, this indicator enhances decision-making by providing a broader perspective of price action.
✨ Key Features & Benefits:
✅ Automatic Support & Resistance Detection – No need to manually plot levels; the indicator calculates them dynamically based on historical price action.
✅ Multi-Timeframe (MTF) Levels – Enables traders to see higher timeframe S&R levels on their current chart for better trend confirmation.
✅ Customizable Lookback Period – Adjust sensitivity by modifying the number of historical bars considered when calculating support and resistance.
✅ Color-Coded Visualization –
Green Line → Support on the current timeframe
Red Line → Resistance on the current timeframe
Dashed Blue Line → Higher timeframe support
Dashed Orange Line → Higher timeframe resistance
✅ Dynamic Extension of Levels – Levels extend left and right for better visibility across multiple bars.
✅ Real-Time Updates – Automatically refreshes as new price data comes in.
✅ Non-Repainting – Ensures reliable support and resistance levels that do not change after the bar closes.
📈 How to Use the Indicator:
Identify Key Price Levels:
The green line represents support, where price may bounce.
The red line represents resistance, where price may reject.
The blue dashed line represents support on a higher timeframe, making it a stronger level.
The orange dashed line represents higher timeframe resistance, helping identify major breakout zones.
Trend Trading:
Look for price action around these levels to confirm breakouts or reversals.
Combine with trend indicators (like moving averages) to validate trade entries.
Range Trading:
If the price is bouncing between support and resistance, consider range trading strategies (buying at support, selling at resistance).
Breakout Trading:
If the price breaks above resistance, it could indicate a bullish trend continuation.
If the price breaks below support, it could signal a bearish trend continuation.
⚙️ Indicator Settings:
Lookback Period: Determines the number of historical bars used to calculate support and resistance.
Show Higher Timeframe Levels (MTF): Enable/disable MTF support and resistance levels.
Extend Bars: Extends the drawn lines for better visualization.
Support/Resistance Colors: Allows users to customize the appearance of the lines.
⚠️ Important Notes:
This indicator does NOT generate buy/sell signals—it serves as a technical tool to improve trading analysis.
Best Used With Other Indicators: Consider combining it with volume, moving averages, RSI, or price action strategies for more reliable trade setups.
Works on Any Market & Timeframe: Forex, stocks, commodities, indices, and cryptocurrencies.
Use Higher Timeframe Levels for Stronger Confirmations: If a higher timeframe support/resistance level aligns with a lower timeframe level, it may indicate a stronger price reaction.
🎯 Who Should Use This Indicator?
📌 Scalpers & Day Traders – Identify short-term support and resistance levels for quick trades.
📌 Swing Traders – Utilize higher timeframe levels for position entries and exits.
📌 Trend Traders – Confirm breakout zones and key price levels for trend-following strategies.
📌 Reversal Traders – Spot potential reversal zones at significant S&R levels.
Fibonacci - DolphinTradeBot
OVERVIEW
The 'Fibonacci - DolphinTradeBot' indicator is a Pine Script-based tool for TradingView that dynamically identifies key Fibonacci retracement levels using ZigZag price movements. It aims to replicate the Fibonacci Retracement tool available in TradingView’s drawing tools. The indicator calculates Fibonacci levels based on directional price changes, marking critical retracement zones such as 0, 0.236, 0.382, 0.5, 0.618, 0.786, and 1.0 on the chart. These levels are visualized with lines and labels, providing traders with precise areas of potential price reversals or trend continuation.
HOW IT WORKS ?
The indicator follows a zigzag structure. After a large swing movement, when new swings are formed without breaking the upper and lower levels, it places Fibonacci levels at the beginning and end points of the major swing movement."
▪️(Bullish) Structure :High → HigherLow → LowerHigh
▪️(Bearish) Structure :Low → LowerHigh → HigherLow
▪️When Fibonacci retracement levels are determined, a "📌" mark appears on the chart.
▪️If the price closes outside of these levels, a "❌" mark will appear.
USAGE
This indicator is designed to plot Fibonacci levels within an accumulation zone following significant price movements, helping you identify potential support and resistance. You can adjust the pivot periods to customize the zigzag settings to your preference. While classic Fibonacci levels are used by default, you also have the option to input custom levels and assign your preferred colors.
"To view past levels, simply enable the ' Show Previous Levels ' option, and to display the zigzag lines, activate the ' Show Zigzag ' setting."
ALERTS
The indicator, by default, triggers an alarm when both a level is formed and when a level is broken. However, if you'd like, you can select the desired level from the " Select Level " section in the indicator settings and set the alarm based on one of the conditions below.
▪️ cross-up → If the price breaks the Fibonacci level to the upside.
▪️ cross-down → If the price breaks the Fibonacci level to the downside.
▪️ cross-any → If the price breaks the Fibonacci level in any direction.
Harish algo for nifty and bankniftyHarish algo for nifty and banknifty
Overview
Harish Algo - Buy and Sell 11 is a powerful trading indicator designed for intraday traders, incorporating multiple technical analysis concepts to identify potential breakout and breakdown levels. It uses pivot points, exponential moving averages (EMAs), and volatility-based levels to generate buy and sell signals with visual markers for better decision-making.
Features & Functionality
✅ Pivot Points Calculation:
The indicator calculates daily pivot points along with resistance (R1) and support (S1) levels.
Helps in identifying potential reversal or breakout areas.
✅ EMA Trend Confirmation:
Uses three EMAs (21, 55, and 200) to confirm trend direction.
Ensures that buy signals align with uptrends and sell signals align with downtrends.
✅ 15-Minute Candle Analysis for Precision:
Captures the last three 15-minute closes of the previous day.
Computes an average and determines volatility-based price levels to anticipate price movements.
✅ Dynamic Buy & Sell Signals:
Bullish (Buy) Signals:
Price breaks above key resistance levels and EMAs confirm an uptrend.
Displayed as yellow (tiny) or green (small) upward triangles below candles.
Bearish (Sell) Signals:
Price drops below key support levels with EMA confirmation of a downtrend.
Displayed as fuchsia (tiny) or red (small) downward triangles above candles.
✅ Alerts for Trade Execution:
Get notified instantly with alerts when a buy or sell signal is triggered.
✅ Customizable Settings:
Modify EMA lengths and adjust parameters to fit different trading strategies.
Usage & Benefits
🔹 Helps traders identify potential entry and exit points with precision.
🔹 Reduces false signals by combining pivot points, EMAs, and price action.
🔹 Works best for intraday traders in the Indian stock markets, but can be applied to other markets as well.
🔹 Suitable for both beginners and experienced traders looking for a structured approach to trading.
How to Use
Add the indicator to your chart.
Observe the plotted pivot points, EMAs, and price levels.
Watch for triangle markers (buy/sell signals).
Use alerts to receive real-time notifications.
Combine with your own risk management strategy for best results.
🔹 Works on all timeframes but optimized for intraday trading.
Disclaimer
📢 This indicator is for educational purposes only and should not be considered financial advice. Always perform your own analysis before taking trades.
SIOVERSE Signals With TP/SLFractal Support/Resistance with EMA 100, Buy/Sell Signals, and TP/SL
This indicator identifies fractal-based support and resistance levels while incorporating EMA 100 as a trend filter. It generates buy and sell signals based on price crossing EMA 20 high/low, ensuring alignment with the overall trend.
Key Features:
Fractal Support & Resistance: Plots dashed lines at key levels.
EMA 100 Filter: Helps identify the primary trend.
Buy/Sell Signals: Based on price breaking EMA 20 with trend confirmation.
Take Profit & Stop Loss Levels: Automatically calculates TP1 (1:1.5), TP2 (1:3), and TP3 (1:5) based on risk-reward ratios.
Break Detection: Removes signals if price hits SL and marks "Break" on the chart.
Ideal for traders looking to combine trend-following strategies with fractal-based support/resistance levels for better trade management.
Tractor-Trend V5Description of the indicator and the principle of its operation
This indicator is a multifunctional tool for analyzing trends and determining entry and exit points in the market. It uses a combination of moving averages, linear regression, volatility levels, and Fibonacci levels to build channels, identify trends, and generate signals. The indicator also includes visualization of overbought and oversold zones, as well as target levels for long and short positions.
The main components of the indicator
The Base Line:
The baseline is calculated based on a moving average (SMA or EMA) or linear regression.
The user can select the data source (for example, hl2 is the average value between high and low), the length of the moving average, and the length of the linear regression.
The baseline is used as a reference level to determine the trend.
Trend Channel:
The channel is built around a baseline using volatility (the difference between high and low).
The user can set the distance between the channel boundaries and the baseline.
The channel includes upper and lower bounds, as well as extended levels (extreme levels).
Golden Pocket:
This is the zone between the baseline and the 0.618 Fibonacci level.
The zone is used to identify potential reversal points or trend continuation.
Input signals (Long/Short):
Entry signals are generated when the price closes above or below the baseline and channel boundaries.
The indicator tracks the beginning and end of trends to avoid false signals.
Target Levels:
For long and short positions, target levels are calculated based on Fibonacci extensions.
The user can set up a multiplier for the target levels.
Overbought and Oversold zones (Overbought/Oversold):
The indicator determines the overbought and oversold zones based on the price crossing the channel boundaries.
There are also extreme zones that show stronger overbought/oversold levels.
Alerts:
The indicator generates alerts when the price breaks through the upper or lower boundary of the channel.
Advantages of the indicator
Flexibility of settings: the user can adapt the indicator to his preferences.
Multifunctional: the indicator combines elements of trend analysis, Fibonacci levels and volatility.
Visualization: clear representation of key levels and zones.
Recommendations
Use the indicator in combination with other technical analysis tools to confirm the signals.
Test the settings on historical data before using them in real trading.
Take into account market conditions (volatility, trend, sideways movement) when interpreting signals.
This indicator is suitable for traders who prefer to work with trend strategies and use Fibonacci levels to identify targets and pivot points.
// Base Line Inputs
Base_Show = input(defval = true, title = "Show Base line?", group = "Base line Settings")
Base_src = input(hl2, title = "Source", group = "Base line Settings")
Base_length = input.int(title = 'Length', minval = 1, maxval = 1000, defval = 50, group = "Base line Settings")
Base_linreg_length = input.int(title = 'Linear Regression Length', minval = 1, maxval = 1000, defval = 50, group = "Base line Settings")
Base_sma_or_ema = input(title = 'Use Simple MA?', defval = false, group = "Base line Settings")
Base_lin_reg = input(title = 'Use Linear Regression?', defval = false, group = "Base line Settings")
// Calculation Base Line
Base_bclose = Base_lin_reg ? ta.linreg(Base_src, Base_linreg_length, 0) : Base_src
Base_signal = Base_sma_or_ema ? ta.sma(Base_bclose, Base_length) : ta.ema(Base_bclose, Base_length)
//Trend Channel
float distance = input.float (2, "Bands Distance", step = 0.1, minval = 0.3, group = "Trend Channel Settings") // Distance for channel bands
Ex_Show = input(defval = false, title = "Show Extension?", group = "Trend Channel Settings")
series float volatility = ta.sma(high - low, Base_length) // Calculate volatility using the average true range
var bool is_long_trend_started = false
var bool is_short_trend_started = false
var bool is_trend_change = false
var bool is_long_trend = false
var bool is_short_trend = false
var bool can_long = false
var bool can_short = false
// Trend Channel Inputs
up_can = Base_signal + volatility * distance
up_can_Tar = up_can + volatility * distance * 2.5
up_can_Ex = up_can_Tar + volatility * distance
lo_can = Base_signal - volatility * distance
lo_can_Tar = lo_can - volatility * distance * 1.5
lo_can_Ex = lo_can_Tar - volatility * distance
// Golden Pocket Inputs
channel_range = up_can - lo_can
fib_618 = up_can - channel_range * 0.618
// CAN LONG/SHORT
//if time >= start_date_input
can_long := close >= Base_signal and close >= up_can and not is_long_trend
can_short := close <= Base_signal and close <= lo_can and not is_short_trend
if can_long
is_long_trend := true
is_short_trend := false
is_long_trend_started := is_long_trend_started ? false : true
else if can_short
is_short_trend := true
is_long_trend := false
is_short_trend_started := is_short_trend_started ? false : true
else
is_trend_change := false
can_long := false
can_short := false
is_short_trend_started := false
is_long_trend_started := false
is_trend_change := is_short_trend_started or is_long_trend_started
// Plot Base Line
GP_05 = plot(Base_Show ? Base_signal : na, color = is_long_trend ? color.rgb(6, 247, 14) : color.rgb(225, 190, 231), linewidth = 1, title = "Base line")
GP_0_618 = plot(fib_618, title = "Lower Border Golden Pocket (Fib 0.618)", color = is_long_trend ? color.rgb(6, 247, 14) : color.rgb(247, 9, 9), display = display.none)
fill(GP_05, GP_0_618, title = "Golden Pocket Background", color = is_long_trend ? color.rgb(245, 123, 0, 60) : color.rgb(255, 167, 38, 60))
// Plot Trend Channel
plotshape(is_long_trend and is_long_trend_started ? Base_signal : na, title="Long Label", style=shape.triangleup, location=location.belowbar, color=color.rgb(8, 153, 129), size=size.small)
plotshape(is_short_trend and is_short_trend_started ? Base_signal : na, title="Short Label", style=shape.triangledown, location=location.abovebar, color=color.rgb(233, 30, 99), size=size.small)
// Plot Channel Boundary
Range_Zone1 = plot(up_can, color = is_long_trend ? color.rgb(38, 198, 218) : color.rgb(156, 39, 176), title = "Channel Upper Boundary")
Range_Zone2 = plot(lo_can, color = is_long_trend ? color.rgb(38, 198, 218) : color.rgb(156, 39, 176), title = "Channel Lower Boundary")
fill(Range_Zone1, Range_Zone2, color = is_long_trend ? color.rgb(38, 197, 218, 80) : color.rgb(155, 39, 176, 80), title = "Channel Background")
// Plot Extension
plot(Ex_Show ? up_can_Ex : na, title = "Extreme Level Extension Upper Boundary Channel", color = color.rgb(95, 250, 224, 30))
plot(Ex_Show ? up_can_Tar : na, title = "First Level Extension Upper Boundary Channel", color = color.rgb(95, 250, 224, 50))
plot(Ex_Show ? lo_can_Tar : na, title = "First Level Extension Lower Boundary Channel", color = color.rgb(247, 116, 120, 50))
plot(Ex_Show ? lo_can_Ex : na, title = "Extreme Level Extension Lower Boundary Channel", color = color.rgb(247, 116, 120, 0))
// Overbought and Oversold Zones
show_OBOS_zones = input.bool(defval = true, title = "Show Overbought and Oversold Zones?", group = "Trend Channel Settings")
show_Ex_zones = input.bool(defval = true, title = "Show Extreme Overbought and Oversold Zones?", group = "Trend Channel Settings")
is_overbought = ta.crossunder(close, up_can_Tar)
is_oversold = ta.crossover(close, lo_can_Tar)
is_overboughtEx = ta.crossunder(close, up_can_Ex)
is_oversoldEx = ta.crossover(close, lo_can_Ex)
// Plot Overbought and Oversold
plotshape(is_overbought and show_OBOS_zones ? high : na, title = "Overbought", color = color.rgb(255, 245, 157), style = shape.circle, size = size.tiny, location = location.abovebar)
plotshape(is_oversold and show_OBOS_zones ? low : na, title = "Oversold", color = color.rgb(3, 249, 208), style = shape.circle, size = size.tiny, location = location.belowbar)
// Plot Extreme Overbought and Oversold
plotshape(is_overboughtEx and show_Ex_zones ? high : na, title = "Extreme Overbought", color = color.rgb(255, 152, 0), style = shape.diamond, size = size.tiny, location = location.abovebar)
plotshape(is_oversoldEx and show_Ex_zones ? low : na, title = "Extreme Oversold", color = color.rgb(3, 249, 3), style = shape.diamond, size = size.tiny, location = location.belowbar)
// Target Levels
mult_tar_input = input.float(title = "Multiplier for Target Levels", step = 0.1, defval = 1.5, minval = 0.1, group = "Target Levels Settings")
// Цвета для целевых уровней
color_long = input.color(color.rgb(8, 153, 129), title = "Color Targets for Long Positions", group = "Colors for Target Levels Setting")
color_short = input.color(color.rgb(233, 30, 99), title = "Color Targets for Short Positions", group = "Colors for Target Levels Setting")
// DC Calculation Extension (Targets Lines for Long)
long_1 = up_can - channel_range * -0.382 * mult_tar_input
long_2 = up_can - channel_range * -1 * mult_tar_input
long_3 = up_can - channel_range * -1.618 * mult_tar_input
long_4 = up_can - channel_range * -2.236 * mult_tar_input
long_5 = up_can - channel_range * -3 * mult_tar_input
// DC Calculation Extension (Targets Lines for Short)
short_1 = lo_can - channel_range * 0.382 * mult_tar_input
short_2 = lo_can - channel_range * 1 * mult_tar_input
short_3 = lo_can - channel_range * 1.618 * mult_tar_input
short_4 = lo_can - channel_range * 2.236 * mult_tar_input
short_5 = lo_can - channel_range * 3 * mult_tar_input
// Draw lines from triangles
var line long_line = na
var line short_line = na
var line long_line_reverse = na
var line short_line_reverse = na
if is_long_trend and is_long_trend_started
long_line := line.new(bar_index, Base_signal, bar_index, long_5, color = color_long, style = line.style_dotted, width = 2)
long_line_reverse := line.new(bar_index, Base_signal, bar_index, short_5, color = color.rgb(8, 153, 129, 100), style = line.style_dotted, width = 2)
if is_short_trend and is_short_trend_started
short_line := line.new(bar_index, Base_signal, bar_index, short_5, color = color_short, style = line.style_dotted, width = 2)
short_line_reverse := line.new(bar_index, Base_signal, bar_index, long_5, color = color.rgb(233, 30, 99, 100), style = line.style_dotted, width = 2)
//
// Функция для поиска точки пересечения линии тренда и горизонтального уровня
f_find_intersection(line_start, line_end, level) =>
if (line_start <= level and line_end >= level) or (line_start >= level and line_end <= level)
true
else
false
// Объявление массивов для хранения лучей-целей для длинных позиций
var line target_rays_long_1 = array.new_line(0)
var line target_rays_long_2 = array.new_line(0)
var line target_rays_long_3 = array.new_line(0)
var line target_rays_long_4 = array.new_line(0)
var line target_rays_long_5 = array.new_line(0)
// Отрисовка лучей-целей для long_1
if is_long_trend and is_long_trend_started
if f_find_intersection(Base_signal, long_5, long_1)
var line target_ray = na
target_ray := line.new(bar_index, long_1, bar_index + 1, long_1, color = color_long, style = line.style_dotted, width = 2, extend = extend.right)
array.push(target_rays_long_1, target_ray)
// Отрисовка лучей-целей для long_2
if is_long_trend and is_long_trend_started
if f_find_intersection(Base_signal, long_5, long_2)
var line target_ray = na
target_ray := line.new(bar_index, long_2, bar_index + 1, long_2, color = color_long, style = line.style_dotted, width = 2, extend = extend.right)
array.push(target_rays_long_2, target_ray)
// Отрисовка лучей-целей для long_3
if is_long_trend and is_long_trend_started
if f_find_intersection(Base_signal, long_5, long_3)
var line target_ray = na
target_ray := line.new(bar_index, long_3, bar_index + 1, long_3, color = color_long, style = line.style_dotted, width = 2, extend = extend.right)
array.push(target_rays_long_3, target_ray)
// Отрисовка лучей-целей для long_4
if is_long_trend and is_long_trend_started
if f_find_intersection(Base_signal, long_5, long_4)
var line target_ray = na
target_ray := line.new(bar_index, long_4, bar_index + 1, long_4, color = color_long, style = line.style_dotted, width = 2, extend = extend.right)
array.push(target_rays_long_4, target_ray)
// Отрисовка лучей-целей для long_5
if is_long_trend and is_long_trend_started
if f_find_intersection(Base_signal, long_5, long_5)
var line target_ray = na
target_ray := line.new(bar_index, long_5, bar_index + 1, long_5, color = color_long, style = line.style_dotted, width = 2, extend = extend.right)
array.push(target_rays_long_5, target_ray)
// Удаление лучей при изменении тренда
if is_short_trend and is_short_trend_started
if array.size(target_rays_long_1) > 0
for i = 0 to array.size(target_rays_long_1) - 1
line.delete(array.get(target_rays_long_1, i))
array.clear(target_rays_long_1)
if array.size(target_rays_long_2) > 0
for i = 0 to array.size(target_rays_long_2) - 1
line.delete(array.get(target_rays_long_2, i))
array.clear(target_rays_long_2)
if array.size(target_rays_long_3) > 0
for i = 0 to array.size(target_rays_long_3) - 1
line.delete(array.get(target_rays_long_3, i))
array.clear(target_rays_long_3)
if array.size(target_rays_long_4) > 0
for i = 0 to array.size(target_rays_long_4) - 1
line.delete(array.get(target_rays_long_4, i))
array.clear(target_rays_long_4)
if array.size(target_rays_long_5) > 0
for i = 0 to array.size(target_rays_long_5) - 1
line.delete(array.get(target_rays_long_5, i))
array.clear(target_rays_long_5)
// Объявление массивов для хранения лучей-целей для коротких позиций
var line target_rays_short_1 = array.new_line(0)
var line target_rays_short_2 = array.new_line(0)
var line target_rays_short_3 = array.new_line(0)
var line target_rays_short_4 = array.new_line(0)
var line target_rays_short_5 = array.new_line(0)
// Отрисовка лучей-целей для short_1
if is_short_trend and is_short_trend_started
if f_find_intersection(Base_signal, short_5, short_1)
var line target_ray = na
target_ray := line.new(bar_index, short_1, bar_index + 1, short_1, color = color_short, style = line.style_dotted, width = 2, extend = extend.right)
array.push(target_rays_short_1, target_ray)
// Отрисовка лучей-целей для short_2
if is_short_trend and is_short_trend_started
if f_find_intersection(Base_signal, short_5, short_2)
var line target_ray = na
target_ray := line.new(bar_index, short_2, bar_index + 1, short_2, color = color_short, style = line.style_dotted, width = 2, extend = extend.right)
array.push(target_rays_short_2, target_ray)
// Отрисовка лучей-целей для short_3
if is_short_trend and is_short_trend_started
if f_find_intersection(Base_signal, short_5, short_3)
var line target_ray = na
target_ray := line.new(bar_index, short_3, bar_index + 1, short_3, color = color_short, style = line.style_dotted, width = 2, extend = extend.right)
array.push(target_rays_short_3, target_ray)
// Отрисовка лучей-целей для short_4
if is_short_trend and is_short_trend_started
if f_find_intersection(Base_signal, short_5, short_4)
var line target_ray = na
target_ray := line.new(bar_index, short_4, bar_index + 1, short_4, color = color_short, style = line.style_dotted, width = 2, extend = extend.right)
array.push(target_rays_short_4, target_ray)
// Отрисовка лучей-целей для short_5
if is_short_trend and is_short_trend_started
if f_find_intersection(Base_signal, short_5, short_5)
var line target_ray = na
target_ray := line.new(bar_index, short_5, bar_index + 1, short_5, color = color_short, style = line.style_dotted, width = 2, extend = extend.right)
array.push(target_rays_short_5, target_ray)
// Удаление лучей при изменении тренда
if is_long_trend and is_long_trend_started
if array.size(target_rays_short_1) > 0
for i = 0 to array.size(target_rays_short_1) - 1
line.delete(array.get(target_rays_short_1, i))
array.clear(target_rays_short_1)
if array.size(target_rays_short_2) > 0
for i = 0 to array.size(target_rays_short_2) - 1
line.delete(array.get(target_rays_short_2, i))
array.clear(target_rays_short_2)
if array.size(target_rays_short_3) > 0
for i = 0 to array.size(target_rays_short_3) - 1
line.delete(array.get(target_rays_short_3, i))
array.clear(target_rays_short_3)
if array.size(target_rays_short_4) > 0
for i = 0 to array.size(target_rays_short_4) - 1
line.delete(array.get(target_rays_short_4, i))
array.clear(target_rays_short_4)
if array.size(target_rays_short_5) > 0
for i = 0 to array.size(target_rays_short_5) - 1
line.delete(array.get(target_rays_short_5, i))
array.clear(target_rays_short_5)
//
// Alerts
buy_alert_disp = input.bool(title = "TT Show Long", defval = true, tooltip = "Appears, if the price breaks through the upper limit channel", group = "Alerts")
sell_alert_disp = input.bool(title = "TT Show Short", defval = true, tooltip = "Appears, if the price breaks through the lower limit channel", group = "Alerts")
buy_alert = is_long_trend and is_long_trend_started
sell_alert = is_short_trend and is_short_trend_started
if buy_alert_disp and buy_alert
alert("TT Show Long", alert.freq_once_per_bar_close)
if sell_alert_disp and sell_alert
alert("TT Show Short", alert.freq_once_per_bar_close)
NTS (NewStrategy)One of the best Strategies that works with market structure!
note: The usage of this great strategy is so complex so do not buy/sell when plot color turns blue/red
To learn using this great strategy, go ahead and watch these tutorials on our YT Channel: www.youtube.com
We also have a community. Share your live trades to be approved in NTS second layer private team. You can also ask questions there:
t.me
This will work for Forex and crypto
Please report bugs in community
Simple HA Trend Strategy Strategy Details:
Entry:
Long: When a Heiken Ashi candle closes above its open (indicating bullish momentum) and crosses above a simple moving average (SMA) of the Heiken Ashi close, suggesting a new bullish trend or continuation.
Short: The opposite, when a Heiken Ashi candle closes below its open and below the SMA, indicating bearish momentum.
Exit:
Exit long positions if the Heiken Ashi candle closes below the SMA or if it's bearish (close below open).
Exit short positions if the Heiken Ashi candle closes above the SMA or if it's bullish (close above open).
highs&lowsone of my first strategy: highs&lows
This strategy takes the highest high and the lowest low of a specified timeframe and specified bar count.
It will then takes the average between these two extremes to create a center line.
This creates a range of high middle and low.
Then the strategy takes the current market movement
which is the direct average(no specified timeframe and specified bar count) of the current high and low.
Using this "current market movement" within the range of high middle and low it determins when to buy and then sell the asset.
*********note***************
-this strategy is (bullish)
-works good with most futures assets that have volatility/ decent movement
(might add more details if I forget any)
(work in progress)
Smart Trend Tracker Name: Smart Trend Tracker
Description:
The Smart Trend Tracker indicator is designed to analyze market cycles and identify key trend reversal points. It automatically marks support and resistance levels based on price dynamics, helping traders better navigate market structure.
Application:
Trend Analysis: The indicator helps determine when a trend may be nearing a reversal, which is useful for making entry or exit decisions.
Support and Resistance Levels: Automatically marks key levels, simplifying chart analysis.
Reversal Signals: Provides visual signals for potential reversal points, which can be used for counter-trend trading strategies.
How It Works:
Candlestick Sequence Analysis: The indicator tracks the number of consecutive candles in one direction (up or down). If the price continues to move N bars in a row in one direction, the system records this as an impulse phase.
Trend Exhaustion Detection: After a series of directional bars, the market may reach an overbought or oversold point. If the price continues to move in the same direction but with weakening momentum, the indicator records a possible trend slowdown.
Chart Display: The indicator marks potential reversal points with numbers or special markers. It can also display support and resistance levels based on key cycle points.
Settings:
Cycle Length: The number of bars after which the possibility of a reversal is assessed.
Trend Sensitivity: A parameter that adjusts sensitivity to trend movements.
Dynamic Levels: Setting for displaying key levels.
Название: Smart Trend Tracker
Описание:
Индикатор Smart Trend Tracker предназначен для анализа рыночных циклов и выявления ключевых точек разворота тренда. Он автоматически размечает уровни поддержки и сопротивления, основываясь на динамике цены, что помогает трейдерам лучше ориентироваться в структуре рынка.
Применение:
Анализ трендов: Индикатор помогает определить моменты, когда тренд может быть близок к развороту, что полезно для принятия решений о входе или выходе из позиции.
Определение уровней поддержки и сопротивления: Автоматически размечает ключевые уровни, что упрощает анализ графика.
Сигналы разворота: Индикатор предоставляет визуальные сигналы о возможных точках разворота, что может быть использовано для стратегий, основанных на контртрендовой торговле.
Как работает:
Анализ последовательности свечей: Индикатор отслеживает количество последовательных свечей в одном направлении (вверх или вниз). Если цена продолжает движение N баров подряд в одном направлении, система фиксирует это как импульсную фазу.
Выявление истощения тренда: После серии направленных баров рынок может достичь точки перегрева. Если цена продолжает двигаться в том же направлении, но с ослаблением импульса, индикатор фиксирует возможное замедление тренда.
Отображение на графике: Индикатор отмечает точки потенциального разворота номерами или специальными маркерами. Также возможен вывод уровней поддержки и сопротивления, основанных на ключевых точках цикла.
Настройки:
Длина цикла (Cycle Length): Количество баров, после которых оценивается возможность разворота.
Фильтрация тренда (Trend Sensitivity): Параметр, регулирующий чувствительность к трендовым движениям.
Уровни поддержки/сопротивления (Dynamic Levels): Настройка для отображения ключевых уровней.
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.
WaridTR15 Dakika ve Üzeri Periyotlar İçin Önerilen Ayarlar:
EMA Uzunlukları:
Kısa EMA: 9 yerine 12 veya 14 kullanılabilir.
Uzun EMA: 21 yerine 26 veya 50 kullanılabilir.
Golden Cross için 50 EMA ve 200 EMA zaten uzun vadeli trendleri yakalar, bu nedenle değiştirmeye gerek yok.
RSI Uzunluğu:
RSI uzunluğu 14 yerine 21 veya 28 yapılabilir. Bu, daha uzun vadeli aşırı alım/aşırı satım bölgelerini daha doğru tespit eder.
Volume Filtresi:
Volume ortalaması için 20 periyot yerine 50 veya 100 periyot kullanılabilir. Bu, daha uzun vadeli hacim eğilimlerini yakalar.
Ichimoku Parametreleri:
Ichimoku, varsayılan olarak 9-26-52 periyotlarıyla çalışır. Bu, zaten uzun vadeli trendleri yakalamak için uygundur. Ancak, daha uzun periyotlar için:
Tenkan-Sen: 9 yerine 14.
Kijun-Sen: 26 yerine 52.
Senkou Span B: 52 yerine 104.
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! 🚀
Ichimoku(TF)This Pine Script indicator is a comprehensive Ichimoku Cloud implementation designed for TradingView. Its uniqueness lies in the precisely calculated settings for each timeframe, offering a tailored Ichimoku experience across different chart resolutions.
Key Features:
Timeframe-Specific Presets: The indicator includes a wide range of pre-defined settings optimized for various timeframes (1m, 2m, 3m, 5m, 10m, 15m, 30m, 45m, 1H, 2H, 3H, 4H, 6H, 12H, 18H, 1D, 3D, 1W, 1M). This ensures accurate Ichimoku calculations and relevant signals for your chosen timeframe.
Ichimoku Cloud: Plots the standard Ichimoku Cloud components: Tenkan-sen (Conversion Line), Kijun-sen (Base Line), Senkou Span A & B (Leading Spans), and Chikou Span (Lagging Span).
Configurable Display: Allows toggling the Ichimoku Cloud display, coloring bars based on the trend (above or below the cloud), and customizing table visibility, style, font size and position.
Trend Analysis Table: A summary table provides a quick overview of the current trend based on Ichimoku components. It assesses the strength of the trend based on the price's relation to the Tenkan-sen, Kijun-sen, Kumo Cloud, Chikou Span and Kumo Twist. The table offers both detailed and short styles.
Buy/Sell Signals: Generates buy and sell signals based on Tenkan-sen/Kijun-sen crossovers.
Uniqueness:
The primary advantage of this indicator is its meticulous configuration for different timeframes. Instead of using a single set of parameters for all timeframes, it provides optimized values that are more suitable for specific chart resolutions. The summary table provides an easy and quick way to assess the trend.
Этот индикатор Pine Script представляет собой комплексную реализацию облака Ишимоку, разработанную для TradingView. Его уникальность заключается в точно рассчитанных настройках для каждого таймфрейма, предлагая индивидуальный опыт Ишимоку для различных разрешений графиков.
Ключевые особенности:
Предустановки для конкретных таймфреймов: Индикатор включает в себя широкий спектр предопределенных настроек, оптимизированных для различных таймфреймов (1m, 2m, 3m, 5m, 10m, 15m, 30m, 45m, 1H, 2H, 3H, 4H, 6H, 12H, 18H, 1D, 3D, 1W, 1M). Это обеспечивает точные вычисления Ишимоку и релевантные сигналы для выбранного вами таймфрейма.
Облако Ишимоку: Отображает стандартные компоненты облака Ишимоку: Tenkan-sen (линия конверсии), Kijun-sen (базовая линия), Senkou Span A & B (ведущие диапазоны) и Chikou Span (запаздывающий диапазон).
Настраиваемое отображение: Позволяет переключать отображение облака Ишимоку, окрашивать бары в зависимости от тренда (выше или ниже облака), а также настраивать видимость таблицы, стиль, размер шрифта и положение.
Таблица анализа тренда: Сводная таблица обеспечивает быстрый обзор текущего тренда на основе компонентов Ишимоку. Он оценивает силу тренда на основе отношения цены к Tenkan-sen, Kijun-sen, облаку Kumo, Chikou Span и Kumo Twist. Таблица предлагает как подробный, так и краткий стили.
Сигналы покупки/продажи: Генерирует сигналы покупки и продажи на основе пересечений Tenkan-sen/Kijun-sen.
Уникальность:
Основным преимуществом этого индикатора является его тщательная настройка для разных таймфреймов. Вместо использования единого набора параметров для всех таймфреймов он предоставляет оптимизированные значения, которые больше подходят для конкретных разрешений графиков. Сводная таблица обеспечивает простой и быстрый способ оценки тренда.
CHANDAN DARBAR Support & ResistanceAuto Hourly Pivot & Price-Cross Signals
by shrinathdarbar250
This indicator automatically calculates hourly pivot points using the previous hour’s high, low, and close values. It displays the key pivot levels (Pivot, R1, S1, R2, S2, R3, S3) on your chart with dynamic coloring—red if the level is above the current price (acting as potential resistance) and green if below (acting as potential support).
Key Features:
Hourly Pivot Calculation: Automatically computes pivot levels using standard formulas based on the previous hour’s data.
Dynamic Coloring: Pivot lines change color in real time to indicate whether they are above (red) or below (green) the current price.
Price-Cross Signals: Generates a BUY signal when the price crosses above any resistance level and a SELL signal when the price crosses below any support level.
Automatic Updates: Pivot lines are refreshed every hour—old lines are deleted when a new hour begins, keeping your chart clean and up-to-date.
This indicator is ideal for traders looking to quickly identify dynamic support and resistance levels and capture potential breakout or reversal opportunities based on hourly market structure.
Fresh Imbalance by VAGAFX🔥 Fresh Imbalances Indicator – Spot High-Probability Trade Setups Instantly! 🔥
Unlock the power of institutional order flow with the Fresh Imbalances Indicator, inspired by VAGAFX’s cutting-edge Smart Money Concepts. This tool is designed for traders who seek precision in identifying fresh imbalances—key areas where price is likely to react due to unfilled institutional orders.
16 LONDONcombines market structure detection with trend line drawing to help traders visualize key swing points, trend shifts, and break of structure (BOS). It is designed for traders who use Smart Money Concepts (SMC), price action, and trend-following strategies
Daily Trend Lines and hidden levelsOverview
This enhanced version of the Daily Trend Lines indicator combines intraday trend visualization with historical price level analysis. It identifies and displays strong support and resistance levels based on previous price action while maintaining the original daily trend tracking functionality.
Key Features
1. Daily Trend Tracking
Monitors and displays intraday price movements
Updates trend lines in real-time
Connects daily open price to current high and low
Color-coded visualization (green for highs, red for lows)
2. Strong Level Analysis
Analyzes historical price data to identify significant levels
Uses adaptive threshold for level identification
Considers both high and low points
Displays persistent price levels across multiple days
3. Customization Options
Adjustable lookback period for historical analysis
Configurable strength threshold for level identification
Customizable colors and line styles
Adjustable line widths and visualization parameters
