AllMA Trend Radar [trade_lexx]📈 AllMA Trend Radar is your universal trend analysis tool!
📊 What is AllMA Trend Radar?
AllMA Trend Radar is a powerful indicator that uses various types of Moving Averages (MA) to analyze trends and generate trading signals. The indicator allows you to choose from more than 30 different types of moving averages and adjust their parameters to suit your trading style.
💡 The main components of the indicator
📈 Fast and slow moving averages
The indicator uses two main lines:
- Fast MA (blue line): reacts faster to price changes
- Slow MA (red line): smoother, reflects a long-term trend
The combined use of fast and slow MA allows you to get trend confirmation and entry/exit points from the market.
🔄 Wide range of moving averages
There are more than 30 types of moving averages at your disposal:
- SMA: Simple moving average
- EMA: Exponential moving average
- WMA: Weighted moving average
- DEMA: double exponential MA
- TEMA: triple exponential MA
- HMA: Hull Moving Average
- LSMA: Moving average of least squares
- JMA: Eureka Moving Average
- ALMA: Arnaud Legoux Moving Average
- ZLEMA: moving average with zero delay
- And many others!
🔍 Indicator signals
1️⃣ Fast 🆚 Slow MA signals (intersection and ratio of fast and slow MA)
Up/Down signals (intersection)
- Buy (Up) signal:
- What happens: the fast MA crosses the slow MA from bottom to top
- What does the green triangle with the "Buy" label under the candle look
like - What does it mean: a likely upward trend reversal or an uptrend strengthening
- Sell signal (Down):
- What happens: the fast MA crosses the slow MA from top to bottom
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: a likely downtrend reversal or an increase in the downtrend
Greater/Less signals (ratio)
- Buy signal (Greater):
- What happens: the fast MA becomes higher than the slow MA
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: the formation or confirmation of an uptrend
- Sell signal (Less):
- What happens: the fast MA becomes lower than the slow MA
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: the formation or confirmation of a downtrend
2️⃣ Signals ⚡️ Fast MA (fast MA and price)
Up/Down signals (intersection)
- Buy signal (Up Fast):
- What happens: the price crosses the fast MA from bottom to top
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: a short-term price growth signal
- Sell signal (Down Fast):
- What happens: the price crosses the fast MA from top to bottom
- What does it look like: a red triangle with a "Sell" label above the candle
- What does it mean: a short-term price drop signal
Greater/Less signals (ratio)
- Buy signal (Greater Fast):
- What happens: the price is getting higher than the fast MA
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: the price is above the fast MA, which indicates an upward movement
- Sell signal (Less Fast):
- What happens: the price is getting lower than the fast MA
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: the price is under the fast MA, which indicates a downward movement
3️⃣ Signals 🐢 Slow MA (slow MA and price)
Up/Down signals (intersection)
- Buy signal (Up Slow):
- What happens: the price crosses the slow MA from bottom to top
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: a potential medium-term upward trend reversal
- Sell signal (Down Slow):
- What happens: the price crosses the slow MA from top to bottom
- What does it look like: a red triangle with a "Sell" label above the candle
- What does it mean: a potential medium-term downward trend reversal
Greater/Less signals (ratio)
- Buy signal (Greater Slow):
- What happens: the price is getting above the slow MA
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: the price is above the slow MA, which indicates a strong upward movement
- Sell signal (Less Slow):
- What is happening: the price is getting below the slow MA
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: the price is under the slow MA, which indicates a strong downward movement
🛠 Filters to filter out false signals
1️⃣ Minimum distance between the signals
- What it does: sets the minimum number of candles between signals of the same type
- Why it is needed: it prevents the appearance of too frequent signals, especially during periods of high volatility
- How to set it up: Set a different value for each signal type (default: 3-5 bars)
- Example: if the value is 3 for Up/Down signals, after the buy signal appears, the next buy signal may appear no earlier than 3 bars later
2️⃣ Advanced indicator filters
🔍 RSI Filter
- What it does: Checks the Relative Strength Index (RSI) value before generating a signal
- Why it is needed: it helps to avoid countertrend entries and catch reversal points
- How to set up:
- For buy signals (🔋 Buy): set the RSI range, usually in the oversold zone (for example, 1-30)
- For sell signals (🪫 Sell): set the RSI range, usually in the overbought zone (for example, 70-100)
- Example: if the RSI = 25 (in the range 1-30), the buy signal will be confirmed
📊 MFI Filter (Cash Flow Index)
- What it does: analyzes volumes and the direction of price movement
- Why it is needed: confirms signals with data on the activity of cash flows
- How to set up:
- For buy signals (🔋 Buy): set the MFI range in the oversold zone (for example, 1-25)
- For sell signals (🪫 Sell): set the MFI range in the overbought zone (for example, 75-100)
- Example: if MFI = 80 (in the range of 75-100), the sell signal will be confirmed
📈 Stochastic Filter
- What it does: analyzes the position of the current price relative to the price range
- Why it is needed: confirms signals based on overbought/oversold conditions
- How to configure:
- You can configure the K Length, D Length and Smoothing parameters
- For buy signals (🔋 Buy): set the stochastic range in the oversold zone (for example, 1-20)
- For sell signals (🪫 Sell): set the stochastic range in the overbought zone (for example, 80-100)
- Example: if stochastic = 15 (is in the range of 1-20), the buy signal will be confirmed
🔌 Connecting to trading strategies
The indicator provides various connectors to connect to your trading strategies.:
1️⃣ Individual connectors for each type of signal
- 🔌Fast vs Slow Up/Down MA Signal🔌: signals for the intersection of fast and slow MA
- 🔌Fast vs Slow Greater/Less MA Signal🔌: signals of the ratio of fast and slow MA
- 🔌Fast Up/Down MA Signal🔌: signals of the intersection of price and fast MA
- 🔌Fast Greater/Less MA Signal🔌: signals of the ratio of price and fast MA
- 🔌Slow Up/Down MA Signal🔌: signals of the intersection of price and slow MA
- 🔌Slow Greater/Less MA Signal🔌: Price versus slow MA signals
2️⃣ Combined connectors
- 🔌Combined Up/Down MA Signal🔌: combines all the crossing signals (Up/Down)
- 🔌Combined Greater/Less MA Signal🔌: combines all the signals of the ratio (Greater/Less)
- 🔌Combined All MA Signals🔌: combines all signals (Up/Down and Greater/Less)
❗️ All connectors return values:
- 1: buy signal
- -1: sell signal
- 0: no signal
📚 How to start using AllMA Trend Radar
1️⃣ Selection of types of moving averages
- Add an indicator to the chart
- Select the type and period for the fast MA (default: DEMA with a period of 14)
- Select the type and period for the slow MA (default: SMA with a period of 14)
- Experiment with different types of MA to find the best combination for your trading style
2️⃣ Signal settings
- Turn on the desired signal types (Up/Down, Greater/Less)
- Set the minimum distance between the signals
- Activate and configure the necessary filters (RSI, MFI, Stochastic)
3️⃣ Checking on historical data
- Analyze how the indicator works based on historical data
- Pay attention to the accuracy of the signals and the presence of false alarms
- Adjust the settings if necessary
4️⃣ Introduction to the trading strategy
- Decide which signals will be used to enter the position.
- Determine which signals will be used to exit the position.
- Connect the indicator to your trading strategy through the appropriate connectors
🌟 Practical application examples
Scalping strategy
- Fast MA: TEMA with a period of 8
- Slow MA: EMA with a period of 21
- Active signals: Fast MA Up/Down
- Filters: RSI (range 1-40 for purchases, 60-100 for sales)
- Signal spacing: 3 bars
Strategy for day trading
- Fast MA: TEMA with a period of 10
- Slow MA: SMA with a period of 20
- Active signals: Fast MA Up/Down and Fast vs Slow Greater/Less
- Filters: MFI (range 1-25 for purchases, 75-100 for sales)
- Signal spacing: 5 bars
Swing Trading Strategy
- Fast MA: DEMA with a period of 14
- Slow MA: VWMA with a period of 30
- Active signals: Fast vs Slow Up/Down and Slow MA Greater/Less
- Filters: Stochastic (range 1-20 for purchases, 80-100 for sales)
- Signal spacing: 8 bars
A strategy for positional trading
- Fast MA: HMA with a period of 21
- Slow MA: SMA with a period of 50
- Active signals: Slow MA Up/Down and Fast vs Slow Greater/Less
- Filters: RSI and MFI at the same time
- The distance between the signals: 10 bars
💡 Tips for using AllMA Trend Radar
1. Select the types of MA for market conditions:
- For trending markets: DEMA, TEMA, HMA (fast MA)
- For sideways markets: SMA, WMA, VWMA (smoothed MA)
- For volatile markets: KAMA, AMA, VAMA (adaptive MA)
2. Combine different types of signals:
- Up/Down signals work better when moving from a sideways trend to a directional
one - Greater/Less signals are optimal for fixing a stable trend
3. Use filters effectively:
- The RSI filter works great in trending markets
- MFI filter helps to confirm the strength of volume movement
- Stochastic filter works well in lateral ranges
4. Adjust the minimum distance between the signals:
- Small values (2-3 bars) for short-term trading
- Average values (5-8 bars) for medium-term trading
- Large values (10+ bars) for long-term trading
5. Use combination connectors:
- For more reliable signals, connect the indicator through the combined connectors
💰 With the AllMA Trend Radar indicator, you get a universal trend analysis tool that can be customized for any trading style and timeframe. The combination of different types of moving averages and advanced filters allows you to significantly improve the accuracy of signals and the effectiveness of your trading strategy!
트렌드 어낼리시스
FeraTrading Breakout IndicatorThe FeraTrading Breakout Indicator is built for universal compatibility, working seamlessly across all tickers and timeframes. Its flexibility makes it suitable for a wide range of trading strategies and market conditions. The indicator is engineered to anticipate potential breakout opportunities by combining volatility filtering with dynamic support and resistance detection.
A distinct yellow line is plotted to represent key support or resistance zones when a breakout signal is generated. These levels help confirm directional bias and provide a visual anchor for potential entries or exits.
By combining volatility cues with structural price levels, this indicator offers traders a reliable tool for identifying trend initiation and momentum shifts with clarity and precision.
The user has the option in the indicators settings to display only the first signal of the day (Which is usually the strongest) or every signal of the day.
FeraTrading Compression IndicatorThe FeraTrading Compression Indicator is designed to identify potential breakouts from consolidation zones or at critical support and resistance levels. It combines volatility filtering with precise candle analysis to reduce market noise and highlight high-probability setups. An arrow is formed when all criteria's are reached. This methodology aims to catch significant price movements while avoiding false breakouts, helping traders make more confident and informed decisions.
The indicator features a single adjustable setting that controls signal sensitivity. This value ranges from 0.01 to 1 (default: 0.75).
Higher values (e.g., 0.8–1) generate more signals by relaxing the detection criteria, which may include more false positives.
Lower values (e.g., 0.01–0.3) apply stricter filtering, showing fewer but potentially more reliable signals.
The indicator aims to find the upcoming trend no matter what the chart is doing. The trend may last for 15 minutes or a few hours.
Magnetic Zones - Multi TimeframeKey Features and Benefits:
1. Multiple Timeframe Analysis
- Daily (D) timeframe for primary trend
- Weekly (W) for longer-term perspective
- Monthly (M) for major structural levels
2. Support/Resistance Levels
- PDHL (Previous Day High/Low)
- Pivot Points (P)
- Multiple SR levels (SR1-SR6)
- Color-coded for easy identification
3. Trading Applications:
- Identify key support/resistance zones
- Find potential reversal areas
- Plan entries and exits
- Set stop-loss levels
How to Use:
1. Zone Analysis
- Green zones indicate support areas
- Red zones show resistance levels
- Gray zones represent subsidiary levels
2. Multiple Timeframe Strategy
- Use Daily zones for intraday trading
- Weekly zones for swing trading
- Monthly zones for position trading
3. Moving Average Integration
- Optional EMA/SMA for trend confirmation
- Customize MA settings for your strategy
- Use MA crossovers with zones
4. Best Practices:
- Look for price reaction at zone intersections
- Higher probability trades when multiple zones align
- Use box transparency to gauge zone strength
- Combine with volume for better confirmation
5. Risk Management:
- Place stops beyond relevant zones
- Scale positions based on zone strength
- Use zone boundaries for position sizing
Majors Rotation System IIIntroduction
The "Majors Rotation System II" indicator is an advanced portfolio rotation system designed for traders on the TradingView platform. It dynamically allocates investments across major cryptocurrencies—Solana (SOL), Bitcoin (BTC), and Ethereum (ETH)—based on their relative performance. By employing a sophisticated scoring mechanism that integrates technical indicators and statistical tests, this indicator aims to identify and invest in the strongest assets in the market. It also provides detailed backtesting metrics and customizable visualizations, allowing users to compare the system's performance against a simple Bitcoin buy-and-hold (HODL) strategy. This tool is particularly useful for cryptocurrency traders seeking a systematic approach to portfolio management.
Key Features
Dynamic Asset Rotation: Automatically selects and allocates to the top-performing cryptocurrencies (SOL, BTC, ETH) based on a custom scoring algorithm.
Comprehensive Scoring Mechanism: Combines technical indicators such as Relative Strength Index (RSI) and Exponential Moving Average (EMA) with statistical tests like the Augmented Dickey-Fuller (ADF) test to evaluate asset performance.
Backtesting Metrics: Provides key performance indicators including Sharpe Ratio, Sortino Ratio, Omega Ratio, Maximum Drawdown, and Net Profit, calculated for both the system and a Bitcoin HODL baseline.
Customizable Visualization: Offers a variety of color themes (e.g., Synthwave, Outrun, Lush) and table display options (Signal-Focused or Detailed) for a tailored user experience.
Equity Curve Comparison: Plots the system's equity curve alongside a Bitcoin HODL equity curve, with an optional glow effect for enhanced visual clarity.
How It Works
The "Myriad | Opus" indicator operates through a multi-step process to evaluate and manage a cryptocurrency portfolio:
Asset Scoring: Each asset (SOL, BTC, ETH) is assigned a performance score based on its relative strength compared to the others. This score is calculated using a blend of technical indicators (e.g., RSI, EMA) and statistical measures (e.g., ADF test for stationarity), sourced from imported libraries and custom functions.
Ranking and Selection: The assets are ranked according to their scores, and the top performers are selected for allocation. The system can hold up to three assets simultaneously, with weightings adjusted dynamically based on the number of selected assets. If no assets meet the performance criteria, the system defaults to "CASH."
Market Trend Analysis: The indicator assesses the overall market trend using additional metrics like Equanim valuation. It adjusts its allocation strategy based on whether the market is bullish or bearish, potentially reducing exposure during unfavorable conditions.
Equity Curve Calculation: The system simulates the portfolio's performance by calculating an equity curve based on the returns of the selected assets, starting from a user-defined date (default: January 1, 2018) with an initial capital of 1 unit. It also computes a Bitcoin HODL equity curve for comparison, reflecting the performance of holding Bitcoin over the same period.
Visual Representation: The equity curves are plotted on the chart with customizable glow effects (controlled by intensity settings) to enhance readability. Users can choose between two table styles:
Signal-Focused Table: Displays the current system state (ON/OFF), dominant assets, and basic performance metrics like profit and maximum drawdown.
Detailed Table: Offers a comprehensive breakdown of backtesting metrics (Sharpe, Sortino, Omega, Maximum Drawdown, Net Profit) for both the system and Bitcoin HODL, alongside the dominant assets and system state.
This process provides users with real-time insights into the portfolio's performance and its comparison to a passive Bitcoin strategy.
Conclusion
The "Majors Rotation System II" indicator offers traders a robust tool for optimizing their cryptocurrency portfolios through systematic asset rotation. By identifying top-performing assets and providing detailed performance metrics, it empowers users to navigate the volatile crypto markets with greater clarity and confidence. The customizable visualizations and comparative equity curves enhance its utility, making it a valuable resource for traders aiming to refine their strategies and evaluate performance objectively.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial advice. Trading cryptocurrencies involves significant risk, and users should conduct their own research and analysis before making any trading decisions. The creator of this indicator is not responsible for any financial losses or gains resulting from its use.
Majors Rotation System IIntroduction
The "Majors Rotation System I" is an advanced TradingView indicator designed to assist traders in identifying and capitalizing on the performance of major cryptocurrencies. Analyzing Bitcoin (BTC), Ethereum (ETH), and Solana (SOL), this system dynamically rotates investments into the top-performing assets using a sophisticated scoring mechanism. It provides insights into market trends and asset strength, empowering traders to make informed decisions in the cryptocurrency market.
Key Features
Asset Rotation System:Dynamically allocates to the strongest cryptocurrencies based on a custom scoring algorithm.
Market Trend Analysis:Adjusts allocation strategy by incorporating the overall cryptocurrency market trend.
Customizable Visualization:Offers multiple color themes (e.g., Synthwave, Outrun) and table display options (Signal-Focused or Detailed) for a tailored user experience.
Performance Metrics:Includes detailed backtesting metrics such as Sharpe Ratio, Sortino Ratio, Omega Ratio, and Maximum Drawdown.
Equity Curve Visualization:Plots the system's performance against a Bitcoin buy-and-hold strategy, with optional glow effects for enhanced readability.
How It Works
The "Majors Rotation System" uses a multi-step process to evaluate and select cryptocurrencies for investment:
Asset Scoring:Each asset (Bitcoin, Ethereum, Solana) is scored using relative strength indicators (RSI), exponential moving averages (EMA), and Augmented Dickey-Fuller (ADF) statistical tests. Scores reflect an asset's strength relative to the others.
Ranking and Selection:Assets are ranked by their scores, and the top performers (up to three) are selected as "winners" for allocation, based on predefined thresholds.
Market Trend Consideration:The system evaluates the total cryptocurrency market trend using the market cap's RSI and Supertrend indicators. It adjusts its behavior—favoring active allocation in bullish trends or switching to "OFF" (cash) in bearish conditions.
Equity Curve Calculation:Simulates the performance of the rotation strategy by tracking returns from selected assets and compares it to a Bitcoin buy-and-hold baseline, factoring in leverage.
Visual Representation:Displays equity curves for the system and Bitcoin HODL with customizable glow effects. Two table options—Signal-Focused (current state) and Detailed (metrics and winners)—provide real-time insights.
Conclusion
The "Majors Rotation System" is a robust tool for navigating the cryptocurrency markets. By systematically rotating into high-performing assets and adapting to market conditions, it helps traders optimize their portfolio allocation. Its detailed metrics and customizable visualizations offer transparency and clarity, making it valuable for strategic decision-making.
Disclaimer
This indicator is provided for informational and educational purposes only and should not be considered financial advice. Users are encouraged to conduct their own research and analysis before making trading decisions. The creator of this indicator is not responsible for any financial losses or gains resulting from its use.
Big Candle Highlighter (Nifty 1m)This indicator will help option buyers to avoid taking trade in impulsive candles.
For Example :
Normal 1m candle: ~10–15 pts
Big candle (possible liquidity/impulse): >18 pts
Very large / avoid chasing: >25 pts
If you see a candle that breaks structure with a 25-30 point range and closes strong, it’s often:
A liquidity sweep
A news spike
Or the start of an impulsive leg — in which case entering at close can be risky without a retest
Multi-Timeframe Trend Table📊 Multi-Timeframe Trend Table
Overview
This powerful trend-tracking tool gives you a real-time snapshot of market trends across multiple timeframes — all in one compact and color-coded table. Designed for traders who want fast, clean, and multi-timeframe awareness at a glance.
⸻
✅ Features
• 7 Key Timeframes Monitored:
2min · 5min · 15min · 1h · 4h · 1d · 1w
• Trend Detection Based on EMAs
Uses a fast (default 20) and slow (default 200) EMA to determine if a timeframe is trending:
• 🟢 Uptrend: Fast EMA is above slow EMA
• 🔴 Downtrend: Slow EMA is above fast EMA
• 🟠 Sideways: EMAs are close (configurable threshold)
• Raw EMA Distance
See the actual difference between fast and slow EMAs for each timeframe — great for gauging trend strength.
• EMA Slope Analysis
A unique “Slope” column tells you the current behavior of EMAs:
• 📈 Pointing Up
• 📉 Pointing Down
• 🔄 Crossing Up/Down
• ➡️ Lateral
• Instant Alerts
Alerts fire the moment a trend flips on any timeframe, keeping you ahead of market shifts.
• Optional Chart EMAs
Toggle on/off the fast and slow EMAs on your active chart for extra clarity.
⸻
🧠 Use Case Examples
• Confirm trades with alignment across multiple timeframes
• Spot early trend reversals with crossing behavior
• Add a higher-timeframe filter to your scalping system
• Monitor key EMAs without changing your chart timeframe
⸻
⚙️ Configuration
• EMA lengths and sideways threshold are fully adjustable
• Enable/disable chart overlays for EMAs
• Table dynamically updates in real time
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💡 Pro Tip: Use this indicator alongside your entry strategy to only trade in the direction of the dominant trends.
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Forexsom EMA + RSI StrategyThis indicator combines a classic EMA crossover technique with an RSI filter and a trend visualization tool, aiming to help traders identify momentum-based trade signals in line with broader market direction.
🔍 What This Script Does
This script plots:
A Fast EMA (default: 9)
A Slow EMA (default: 21)
A 50-period EMA as a visual trend filter
Buy/Sell signal labels based on EMA crossovers confirmed by RSI
It highlights Buy signals when the fast EMA crosses above the slow EMA, and RSI is below the overbought threshold (default: 70). Sell signals occur when the fast EMA crosses below the slow EMA and RSI is above the oversold threshold (default: 30). A 50 EMA line is included to help visually assess the current trend.
This setup is designed to reduce false signals by avoiding trades when RSI shows overextended conditions, while also encouraging trades aligned with the general trend direction.
⚙️ User Inputs
Fast EMA Length – length of the fast-moving average (default: 9)
Slow EMA Length – length of the slow-moving average (default: 21)
RSI Length – length of the RSI oscillator (default: 14)
RSI Overbought – RSI threshold above which long signals are filtered out (default: 70)
RSI Oversold – RSI threshold below which short signals are filtered out (default: 30)
Trend EMA Length – used for the visual trend filter (default: 50)
🧠 Why This is Useful
This script provides a structured and minimalistic approach to trend-following strategies. By combining price-based crossovers with momentum confirmation from RSI, it aims to:
Avoid entering trades in overbought/oversold conditions
Provide visually clean and directional setups
Help newer traders understand how different indicators can complement each other
⚠️ Notes
This is not a trading strategy or backtest — it is a visual tool to assist discretionary decisions.
It is intended for educational and informational purposes only.
It does not repaint, and it works on any standard chart type (not intended for use on Heikin Ashi, Renko, etc.).
Built by @Forexsom to support traders seeking clearer technical confluence in trend-based trading environments.
Dynamic Adaptive Moving Average [Alpha Extract]Dynamic Adaptive Moving Average (DAMA) 📊
The Dynamic Adaptive Moving Average (DAMA) indicator is an adaptive technical tool that automatically discovers the optimal moving average period based on forward-looking price behavior. Unlike traditional fixed-length moving averages, this indicator continuously evaluates multiple timeframes to identify which MA length most accurately predicts future price movement, creating a responsive trend line that adapts to changing market conditions.
🔶 CALCULATION
The indicator employs a dynamic optimization algorithm to select the most effective moving average:
• Period Testing: Evaluates MA lengths from 5 to 100 periods to find the optimal timeframe
• Predictive Error: Measures each MA's accuracy by comparing it to the actual price 5 bars in the future
• Trend Weighting: Incorporates Rate of Change (ROC) to give higher priority to trend-following capabilities
• Error Minimization: Selects the MA length with the lowest weighted predictive error
• Smoothing: Applies an exponential smoothing factor (0.2) to prevent erratic changes in the trend line
🔶 DETAILS
Visual Features:
• Adaptive Trend Line: A yellow line representing the smoothed optimal moving average that dynamically adjusts its period
• Color-Coded Fills: Green areas when price is above the optimal MA (bullish), red when price is below (bearish)
• Opacity Gradient: Fill transparency provides visual context for the relationship between price and the trend line
• Real-Time Optimization Display: A table in the top-right corner shows the current optimal MA length
Interpretation:
• Bullish Signal: Price above the yellow DAMA line with green fill indicates upward momentum
• Bearish Signal: Price below the yellow DAMA line with red fill suggests downward pressure
• Trend Changes: Watch for crossovers between price and the DAMA for potential trend shifts
• Optimal Length Changes: Shorter optimal lengths may indicate trending markets, while longer lengths often appear in ranging conditions
🔶 EXAMPLES
The indicator demonstrates:
• Trend Identification: The DAMA hugs price more closely during trends while maintaining enough distance to filter noise
• Dynamic Adaptation: The MA length automatically adjusts shorter during strong trends and longer during consolidations
• Forward-Looking: By optimizing based on future price projection (5 bars), the indicator anticipates price movements better than traditional MAs
• Smooth Transitions: The smoothing algorithm prevents whipsaws while still allowing the MA to adapt to changing conditions
🔶 SETTINGS
Customization Options:
• Min/Max Length: Define the range of MA periods to test (default: 5-100)
• Step Size: Set the increment for testing different MA lengths (default: 1)
• Lookahead: Adjust the number of bars to project ahead for optimization (default: 5)
• Smoothing Factor: Control how quickly the MA adapts to new optimal lengths (default: 0.2)
The Dynamic Adaptive Moving Average (DAMA) indicator offers traders a sophisticated yet intuitive trend-following tool that eliminates the need to manually select MA periods.
Its self-optimizing algorithm continuously identifies the most effective moving average length based on actual price prediction accuracy, making it valuable for various trading strategies across different market environments and timeframes.
OmniTrend v1: Trending Market StrategyDescription – Universal Trend System
The Universal Trend System is a closed-source trend-following strategy designed to identify and engage with strong market trends across multiple asset classes, including crypto, stocks, and forex. It aims to place users in favorable trading environments while filtering out high-risk, bearish, or choppy phases.
At its core, the system uses a multi-component trend probability engine that analyzes market structure, momentum, and volatility conditions. It evaluates these factors to determine whether the current market regime is trending, ranging, or bearish. The strategy only activates trades when a clearly defined trend is confirmed by the underlying conditions, keeping capital protected during non-optimal environments.
How It Works
The system classifies the market into different regimes:
Trending Phase: High-probability long entries are enabled when trend confirmation signals align across multiple components.
Sideways/Neutral Phase: The system reduces or avoids exposure to minimize whipsaws.
Bearish Phase: Trade entries are disabled to protect capital and avoid trading against momentum.
This approach helps traders participate in clean directional moves and avoid periods of increased noise or drawdowns.
Key Features:
Multi-Timeframe Component Analysis: Combines signals from multiple trend components (momentum, structure, volatility) for robust confirmation.
Adaptive Filtering: Dynamically filters out low-quality trends and bearish conditions.
Backtested Performance Metrics: Tracks key performance stats including Sharpe Ratio, Sortino Ratio, Max Drawdown, and Profit Factor.
Versatility: Designed to work on any timeframe and asset class—crypto, equities, forex, or commodities.
Market Regime Visualizer: Colored background shows current market regime (trending, ranging, bearish) in real-time for quick decision-making.
Disclaimer
This tool is for informational and educational purposes only. It does not guarantee future performance and should not be considered financial advice. Always perform your own due diligence and apply proper risk management. Historical performance does not ensure future results.
Gold Price with Time ShiftOverview
The "Gold Price with Time Shift" indicator allows you to visualize the Gold price (XAUUSD) with a customizable time shift, enabling you to lag or lead the data by a specified number of bars. Whether you're analyzing historical trends or projecting Gold’s price into the future, this indicator provides a flexible tool to align Gold price movements with other market indicators or events.
Features
Customizable Time Shift: Shift the Gold price backward (lag) or forward (lead) by a user-defined number of bars. Positive values lag the data, while negative values project it into the future.
Future Projection: When leading the Gold price (negative time shift), the indicator extends the chart into the future, displaying the last known price as a flat projection for easy comparison.
Daily Timeframe: Fetches Gold price data on a daily timeframe, ensuring consistency for long-term analysis.
User-Friendly Inputs: Easily adjust the Gold ticker and time shift via the settings panel to suit your analysis needs.
SH Capital - OmniTrend v1: Adaptive Market StrategyOmniTrend Strategy — Multi-Asset Adaptive Trend System
Overview
The OmniTrend Strategy is a multi-layered trend-following system designed to dynamically adapt to changing market conditions across cryptocurrencies, stocks, and traditional finance (TradFi) assets. It uses a blend of custom filtering mechanisms and dynamic trend logic to allocate positions only during favorable environments, while actively managing downside risk.
This script is intended for traders looking for a rules-based, momentum-driven approach that has been backtested across various asset classes and timeframes. It can be used for swing trading, position trading, or longer-term investing depending on the user’s timeframe selection.
Core Concepts & How It Works
OmniTrend incorporates several proprietary filters to determine both trend strength and risk conditions:
1. Trend Detection Layer
The system evaluates both long-term and medium-term directional bias using a custom trend detection logic inspired by moving average envelopes, price slope analysis, and filtered volatility signals.
This helps the system remain active during clean uptrends and avoid false signals during sideways or whipsaw conditions.
2. Equity Curve Risk Management
The system features an internal equity curve monitor that acts as a meta-filter. If recent performance trends lower (e.g., equity drawdown or stagnation), the strategy can de-risk by exiting open positions or reducing exposure.
3. Market Condition Awareness
A volatility regime filter is built in to avoid signal generation during choppy, low-volatility periods. This reduces overtrading and preserves capital.
Asset & Timeframe Flexibility
Default Assets: BTC, ETH, SOL
Compatible With: Cryptocurrencies, stocks, commodities, indices, and forex
Timeframes: Designed for daily use but also adaptable to 4H, 1W, and others depending on the trading horizon
All parameters—including the asset list, risk filters, scoring mechanics, and timeframe inputs—are fully adjustable by the user, enabling customization to individual strategies and risk profiles.
Performance Evaluation Tools
This strategy includes built-in visual and statistical tools to evaluate its performance over time:
Equity Curve Overlay
Maximum Drawdown Tracking
Risk-Adjusted Return Metrics (e.g., Sharpe and Sortino approximations)
Buy-and-Hold vs. Strategy Comparison Line
Disclaimer
This script is intended for educational and informational purposes only. It uses historical and real-time data to generate logic-based suggestions, but it does not guarantee future results. All trading involves risk, and users should always perform their own due diligence, use proper risk management, and consult a qualified advisor before making financial decisions. This is not financial advice.
Directional Deviation Index (DDI)Directional Deviation Index (DDI) is a streamlined, adaptive indicator for analyzing market cycles, detecting trend direction, and gauging momentum. By measuring how far price deviates from a smoothed average, the DDI adapts dynamically to both bullish and bearish conditions.
Key Features:
Unified Smoothing: Choose SMA or EMA for consistent, predictable signals.
Log Scale: Focus on percentage-based moves—ideal for volatile or higher-priced assets.
Adaptive Trend Levels: Auto-adjust uptrend/downtrend thresholds based on market volatility.
Momentum Visualization: Transparent color fills (green for uptrends, red for downtrends) that intensify with stronger deviations.
Customizable Sensitivity: Fine-tune uptrend and downtrend settings to suit any trading style.
Simple Alerts & Status Line: Get notified on key crossovers and track real-time price without chart clutter.
Comparison to Similar Indicators:
Bollinger Bands: Both use deviations from a moving average, but the DDI emphasizes directional momentum and adaptive threshold levels rather than fixed bands.
RSI/Stochastics: While these oscillators focus on overbought or oversold conditions, the DDI tracks how far price strays from its average, giving a clearer picture of trend strength.
MACD: MACD is built on EMA crossovers, whereas the DDI highlights deviations from a mean and adapts more directly to volatility changes.
Use the DDI to identify trend strength, spot potential reversals, and monitor evolving market conditions across stocks, crypto, forex, and beyond. It’s a versatile yet concise tool for traders seeking faster, more confident decisions.
15Min Engulfing Break StrategyThe strategy involves the Engulfing Theory, Bullish and Bearish Engulfing patterns. Its specifically for 15 Minute chart. win ratio is 76%.
Ticker Pulse Meter + Fear EKG StrategyVERSION #2
Ticker Pulse + Fear EKG Strategy
Discover a smarter way to invest with the Ticker Pulse + Fear EKG Strategy, crafted for long-term investors seeking to buy dips and lock in profits over time. Fear EKG, a unique VIX-powered oscillator, pinpoints market fear to catch reversals at their sweetest spots, while Ticker Pulse’s dual-range metrics ensure you enter with momentum and exit with precision. Optimized for the daily timeframe—yet thriving on weekly and monthly charts—this strategy empowers you to dollar-cost average or ride trends with confidence, using partial exits to secure gains without guesswork.
Works out of the box, really no need for adjustment of settings.
However, here are a couple tidbits of information on how to adjust some of the settings.
Mute Fear EKG related buy entries:
In the settings tab, if you set the Upper Signal Threshold, Mid Signal Threshold, and the Lower Signal Threshold all to 100 this will serve to mute 100% of all Fear EKG spike related buy signals.
Mute Ticker Pulse Meter related buy entries
If you set the Above Long/Above Short Level and the Below Long/Below Short Level to zero this will serve to mute all buy signals related to the ticker pulse meter.
You may also want to play with the FEAR EKG SETTINGS. For instance, if you take it down to 5 and 2 respectively and muted the Ticker Pulse Meter by zeroing them out. What you are left with are much better bottom detection. Fewer trades to stretch the money in the event of a extended bear market.
Likewise, you can mute the Fear EKG by increasing all to 100, opting to only look at the dip buys related to the Ticker Pulse Meter. This too will serve to decrease the number of entries.
Related to the added context of the long term Linear Regression Channel, if you are looking for a powerful set up, consider only entering trades when a green dot prints below the red POC, point of control.
If you study the price action, between the 200 period moving average (white line), the 100 period SMA + Bollinger Bands (green and yellow lines), linear regression POC and channel tend to provide excellent support and resistance.
Paired with the companion Ticker Pulse Meter + Fear EKG indicator, you’ll visualize sentiment and price dynamics through vibrant area plots and a dynamic heatmap, making every decision crystal-clear. Whether you’re building wealth patiently or capitalizing on market dips, this strategy delivers robust, data-driven signals without the noise. Try it today and elevate your long-term portfolio! Note: Optional visuals (e.g., tables, SMA) use standard Pine Script logic, credited to community practices. Hypothetical results vary; no profits guaranteed.
Visual Enhancers: Entry/exit dots, position table, and optional SMA/Bollinger Bands (if enabled), moving average and linear regression channel use standard Pine Script logic or inspired by public scripts like "Bollinger Bands by TradingView", among others. The visual enhancers are there to provide added context and situational awareness only and are not core to the inter workings of the trading strategy.
None of the above is meant to serve as financial advice and is for educational purposes only.
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Altcoin Reversal or Correction DetectionINDICATOR OVERVIEW: Altcoin Reversal or Correction Detection
Altcoin Reversal or Correction Detection is a powerful crypto-specific indicator designed exclusively for altcoins by analyzing their RSI values across multiple timeframes alongside Bitcoin’s RSI. Since BTC's price movements have a strong influence on altcoins, this tool helps traders better understand whether a reversal or correction signal is truly reliable or just noise. Even if an altcoin appears oversold or overbought, it may continue trending with BTC—so this indicator gives you the full picture.
The indicator is optimized for CRYPTO MARKETS only. Not suitable for BTC itself—this is a precision tool built only for ALTCOINS only.
This indicator is not only for signals but also serves as a tool for observing all the information from different timeframes of BTC and altcoins collectively.
How the Calculation Works: Algorithm Overview
The Altcoin Reversal or Correction Detection indicator relies on an algorithm that compares the RSI values of the altcoin across multiple timeframes with Bitcoin's RSI values. This allows the indicator to identify key market moments where a reversal or correction might occur.
BTC-Altcoin RSI Correlation: The algorithm looks for the correlation between Bitcoin's price movements and the altcoin's price actions, as BTC often influences the direction of altcoins. When both Bitcoin and the altcoin show either overbought or oversold conditions in a significant number of timeframes, the indicator signals the potential for a reversal or correction.
Multi-Timeframe Confirmation: Unlike traditional indicators that may focus on a single timeframe, this tool checks multiple timeframes for both BTC and the altcoin. When the same overbought/oversold conditions are met across multiple timeframes, it confirms the likelihood of a trend reversal or correction, providing a more reliable signal. The more timeframes that align with this pattern, the stronger the signal becomes.
Overbought/Oversold Conditions & Extreme RSI Values: The algorithm also takes into account the size of the RSI values, especially focusing on extreme overbought and oversold levels. The greater the RSI values are in these extreme regions, the stronger the potential reversal or correction signal. This means that not only do multiple timeframes need to confirm the condition, but the magnitude of the overbought or oversold RSI level plays a crucial role in determining the strength of the signal.
Signal Strength Levels: The signals are classified into three levels:
Early Signal
Strong Signal
Very Strong Signal
By taking into account the multi-timeframe analysis of both BTC and the altcoin RSI values, along with the magnitude of these RSI values, the indicator offers a highly reliable method for detecting potential reversals and corrections.
Who Is This Indicator Suitable For?
This indicator can also be used to detect reversal points, but it is especially effective for scalping. It highlights potential correction points, making it perfect for quick entries during smaller market pullbacks or short-term trend shifts, which is more suitable for scalpers looking to capitalize on short-term movements
Integration with other tools
Use this tool alongside key Support and Resistance zones to further enhance your trade by filtering for even better quality entries and focusing only on high-quality reversal or correction setups. It can be also used with other indicators and suitable with other personalised strategies.
Heikin Ashi Smoothed StrategyThis TradingView Pine Script strategy is designed to enhance traditional Heikin Ashi candlestick visuals by applying smoothing techniques to the standard OHLC values. At its core, the script calculates moving averages for the open, high, low, and close prices using a selectable moving average method—options include SMA, EMA, WMA, Hull, and TEMA. A custom function is provided to compute TEMA, ensuring a smoother representation of price data. These smoothed values are then used to derive modified Heikin Ashi candle values, with the strategy offering a choice between two formulas (Valcu and Vervoort) for calculating the HA close.
In addition to generating the smoothed Heikin Ashi candles, the strategy incorporates multiple overlay indicators to capture different trend perspectives based on the HA close. The script plots a moving average, a linear regression line, and a TEMA line directly on the chart for enhanced trend analysis. These trendlines are derived by reapplying smoothing techniques to the HA close, giving traders a multi-faceted view of market behavior. The customizable inputs allow users to toggle the visibility of these elements and adjust their parameters (such as period lengths and specific MA types), thereby tailoring the visual and analytical output to their individual trading preferences.
The trading logic of the strategy hinges on the crossover dynamics between the HA close’s linear regression and its moving average. A buy signal is generated when the linear regression crosses above the moving average, suggesting that the smoothed HA price is gaining upward momentum. Conversely, a sell signal is triggered when the linear regression crosses below the moving average, indicating a potential downturn. By combining smoothed price visualization with these robust trend indicators, the strategy aims to reduce noise and provide clearer entry and exit signals, catering especially to traders who rely on technical analysis for making informed decisions.
Important Notice:
The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data before applying them in live trading scenarios.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research before making any trading decisions.
Multi-Oscillator Adaptive KernelMulti-Oscillator Adaptive Kernel
Introduction
The Multi-Oscillator Adaptive Kernel (MOAK) is a powerful momentum-based indicator that fuses multiple popular oscillators RSI, Stochastic, MFI, and CCI into a single, adaptive tool. Through advanced kernel smoothing techniques, MOAK is engineered to filter out market noise and deliver clearer, more consistent trend signals. Whether in trending or ranging markets, MOAK equips traders with a holistic perspective on momentum across multiple timeframes.
Key Features
Oscillator Fusion: Combines normalized values from RSI, Stochastic, Money Flow Index, and Commodity Channel Index to capture broader momentum shifts.
Advanced Kernel Smoothing: Utilizes three kernel smoothing algorithms—Exponential, Linear, and Gaussian—to refine raw oscillator data and minimize false signals.
Customizable Sensitivity: Traders can tailor the indicator's responsiveness by adjusting lookback periods, kernel lengths, and smoothing sensitivity.
Clear Visual Signals: Features a color-coded signal line—cyan for bullish, magenta for bearish—with gradient fills to reflect trend intensity and direction.
Overbought/Oversold Zones: A central zero line helps identify momentum extremes, with layered gradients to indicate the strength of potential reversals or continuations.
Adaptive Signal Design: Dynamically adjusts its output to align with changing market conditions, offering reliable performance across diverse market environments.
How It Works
MOAK starts by calculating and normalizing input from four widely used momentum oscillators: Relative Strength Index (RSI), Stochastic Oscillator, Money Flow Index (MFI), and Commodity Channel Index (CCI). These values are then aggregated to form a composite momentum reading.
To reduce market noise and enhance signal clarity, the composite reading is passed through one of three user-selectable kernel smoothing filters—Exponential, Linear, or Gaussian. These algorithms shape the data curve, softening abrupt fluctuations while preserving meaningful trends.
The resulting smoothed output is rendered visually as a central signal line, colored cyan for upward momentum and magenta for downward momentum. A series of gradient fills around this line illustrates the intensity of the underlying momentum, with the zero line acting as a visual boundary between overbought and oversold regions. Users can customize key parameters such as lookback window, kernel length, and sensitivity level, ensuring the indicator can be optimized for different assets and trading styles.
Examples
MOAK is able to provide clear trend detection on large cap token such as Bitcoin in the example shown below and resistant to noise during consolidation period.
Downside positions are also handled by the indicator, this time on Solana which is more volatile than Bitcoin but even with more volatility MOAK was able to catch an early entry in the downside move.
Below an example on a lower timeframe with a low cap token Fartcoin where MOAK triggered an early entry on a positive uptrend.
Conclusion
MOAK is a sophisticated yet intuitive momentum indicator, merging the strengths of multiple oscillators into a cohesive and adaptive signal. Its kernel-based smoothing and customizable parameters make it a valuable tool for traders seeking to identify trend direction, assess momentum strength, and filter out short-term noise with precision. Ideal for both trend-following and range-trading strategies, MOAK offers a versatile edge in dynamic market conditions.
Disclaimer
This indicator is provided for informational and educational purposes only. It does not constitute financial advice, nor does it guarantee specific results. Always perform your own analysis and consult a licensed financial advisor before making any trading decisions. Use at your own risk.
Dynamic Volume Profile OscillatorDynamic Volume Profile Oscillator
Introduction
The Dynamic Volume Profile Oscillator (DVPO) is an advanced technical analysis tool that merges volume profiling with price action dynamics to enhance trend identification and improve trade entry precision. Unlike conventional oscillators that rely solely on price-based metrics, DVPO incorporates adaptive volume-weighted mean deviations to present a more responsive and insightful perspective on market behavior. This makes it a powerful instrument for traders seeking refined momentum insights and context-aware overbought/oversold detection.
Key Features
Adaptive Volume Profiling: Utilizes real-time volume data to adjust the oscillator’s sensitivity to prevailing market activity, enabling more accurate trend and exhaustion zone identification.
Mean Reversion Mode: Highlights potential reversion points when price deviates significantly from volume-weighted norms, ideal for contrarian and range-bound strategies.
Oscillator Smoothing: Integrates optional smoothing filters to reduce noise and provide clearer directional signals without sacrificing responsiveness.
Dynamic Midline & Zones: Features an evolving midline calibrated to the current volume-weighted context, along with dynamically adjusting overbought and oversold zones.
Signal Crossovers: Generates actionable momentum signals when the oscillator crosses key thresholds or the midline, aiding in timing entries and exits.
Gradient Zone Visualization: Visually represents intensity and directional bias through gradient color zones, helping users quickly assess momentum strength and market condition shifts.
How It Works
The DVPO calculates deviations from a volume-weighted average price baseline across a defined lookback period. These deviations are then transformed into an oscillator that fluctuates above and below a dynamic midline, which represents the fair value zone based on recent volume distribution.
To enhance interpretability, the indicator introduces:
Dynamic Zones that expand or contract based on current volatility and volume skewness.
Smoothing algorithms (optional) that can be applied to reduce erratic movements caused by sudden spikes in volume.
Gradient coloring to reflect the strength and direction of the momentum — darker tones indicate stronger trends, while lighter ones suggest potential reversals or weakening trends.
Crossover logic that detects when the oscillator line crosses above or below the midline or critical thresholds, often coinciding with trend initiations or reversals.
Conclusion
The Dynamic Volume Profile Oscillator offers a significant enhancement to traditional momentum indicators by intelligently adapting to both price and volume shifts. Whether used for trend following, mean reversion, or breakout confirmation, its comprehensive design provides traders with an intuitive yet powerful edge in identifying actionable market signals across varying conditions.
Disclaimer
This indicator is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users should perform their own due diligence and consult a qualified financial advisor before making any trading decisions.
Dynamic Momentum BandsDynamic Momentum Bands
Introduction
The Dynamic Momentum Bands indicator is a powerful analytical tool designed to help traders identify the strength and direction of market momentum with greater precision. By combining key technical methodologies such as Relative Strength Index (RSI), adaptive volatility analysis, and customizable moving averages this indicator offers a multi-dimensional perspective on evolving market conditions. Whether in trending or ranging environments, Dynamic Momentum Bands aim to deliver actionable insights that enhance decision-making and risk management.
Key Features
Adaptive Band Calculation: The bands adjust dynamically in response to market conditions, allowing them to expand during volatile periods and contract during consolidation phases.
RSI-Driven Volatility Scaling: Integrates RSI analysis to scale the width of the bands based on momentum strength, creating a responsive and context-aware framework for trend evaluation.
Multiple Moving Average Options: Offers flexibility with various smoothing techniques, enabling users to tailor the indicator to their preferred strategies (e.g., EMA, SMA, WMA).
Smooth Gradient-Based Visualization: Enhances visual clarity with color gradients that reflect momentum intensity and directional bias, supporting intuitive interpretation of the market state.
How It Works
The Dynamic Momentum Bands indicator operates by combining three core components:
Adaptive Moving Averages: A central baseline is calculated using a selected moving average type. This baseline reflects the general price trend over a user-defined lookback period.
Volatility-Scaled Band Widths: Band distances from the central average are determined using an RSI-based volatility model. Higher RSI values and volatility readings cause the bands to widen, signaling stronger price momentum or potential breakouts.
Gradient Visualization: The bands are color-coded with gradient fills to reflect changes in momentum strength, providing real-time visual cues about potential trend shifts or exhaustion points.
This integration of methodologies allows the indicator to remain responsive to price action while maintaining a smooth, noise-filtered representation of market dynamics.
Conclusion
The Dynamic Momentum Bands indicator offers a versatile and insightful approach to tracking market momentum and volatility. Its adaptive design and multifactor methodology make it suitable for traders who seek a deeper understanding of price behavior beyond conventional moving average envelopes. By delivering a visually rich and responsive analysis tool, it empowers users to make more informed trading decisions across various market environments.
Disclaimer
This indicator is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users are advised to conduct their own analysis and consult with a licensed financial advisor before making any trading decisions.
DEMA SuperTrendDEMA SuperTrend
Introduction
The DEMA SuperTrend is a sophisticated trend-following indicator that integrates the speed and smoothness of the Double Exponential Moving Average (DEMA) with the classic SuperTrend methodology. Designed for traders seeking a more responsive alternative to standard trend indicators, the DEMA SuperTrend helps identify the prevailing market direction with minimal lag. It plots directly on the price chart, making it intuitive and accessible for real-time analysis across various timeframes and trading instruments.
Key Features
DEMA-Based Smoothing: Enhances traditional SuperTrend signals by applying DEMA, reducing signal lag and improving responsiveness to market changes.
Dynamic Trend Visualization: Clearly marks uptrend and downtrend phases with adaptive bands that follow price action.
Customizable Inputs: Users can tailor the ATR period, multiplier, and DEMA length to suit their strategy and trading style.
Visual Themes: Custom color schemes and line styles offer a personalized charting experience, supporting better clarity and decision-making.
How It Works
The DEMA SuperTrend calculates the Average True Range (ATR) to measure market volatility and applies a multiplier to determine the band offset. Instead of using a standard moving average, it employs the Double Exponential Moving Average to smooth the price series. The result is a responsive overlay that adjusts more quickly to market shifts compared to the traditional SuperTrend.
Uptrend: Triggered when the price closes above the DEMA-adjusted upper band.
Downtrend: Triggered when the price closes below the DEMA-adjusted lower band.
Band Switching: When a crossover occurs, the indicator switches the band to the opposite side of the price, signaling a potential change in trend direction.
Visual cues and color-coded zones on the chart enhance interpretability, making it easier for traders to react promptly to shifts in momentum.
Conclusion
The DEMA SuperTrend indicator combines the best of both worlds—robust trend-following logic and advanced smoothing—offering traders a powerful tool for identifying and tracking market trends with enhanced accuracy. Its versatility, responsiveness, and customization features make it suitable for both intraday and swing trading strategies.
Disclaimer
This indicator is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users should conduct their own research and risk assessment before making trading decisions.
MA Smoothed RSI For LoopMA Smoothed RSI For Loop
Introduction
The MA Smoothed RSI For Loop is a refined momentum indicator that enhances the classic Relative Strength Index (RSI) through advanced smoothing techniques and intelligent visual cues. By applying a moving average smoothing process within a for loop structure and integrating upper and lower threshold logic, this tool enables traders to detect trends with greater clarity and robustness. It is specifically built for traders who seek high-confidence signals through smoothed momentum analysis and contextual visual feedback.
Key Features
For Loop RSI Smoothing: Applies iterative moving average smoothing to the RSI using a for loop, reducing false signals and improving overall trend accuracy.
Threshold-Based Trend Detection: Incorporates upper and lower RSI thresholds to filter out weak signals and confirm strong momentum-driven trends.
Customizable Moving Averages: Supports a variety of moving average types (such as SMA, EMA, WMA) and lengths for tailored responsiveness.
Dynamic Color Feedback: Colors adapt based on RSI position and momentum, making it easy to interpret strength, reversal zones, or trend continuations.
Real-Time Trend Table: Trend Direction (uptrend/downtrend), Strength of Trend (based on RSI slope and threshold behavior) and Duration (number of bars in the current trend phase).
Weighted Loop Control: Allows users to apply weights during the smoothing loop, fine-tuning the indicator’s sensitivity.
How It Works
The indicator begins by computing the RSI from price data. It then enters a for loop where the RSI is repeatedly smoothed with a chosen moving average. This recursive process stabilizes the signal, minimizing the effects of short-term noise.
Upper and lower RSI thresholds are applied to define meaningful zones of momentum. Only when the smoothed RSI crosses and sustains beyond these thresholds is a trend considered significant. The direction and persistence of these movements are visually encoded using dynamic color schemes and captured numerically in the trend table.
This dual-layered method smoothing and threshold filtering provides a robust structure for identifying and monitoring meaningful price momentum.
Use Case
In the example described above we have one long and short positions early triggered once the momentum signal crossed its related threshold up in the case of bullish trend and down for the bearish one.
Conclusion
The MA Smoothed RSI For Loop offers a sophisticated approach to trend analysis by blending smoothed RSI logic with threshold-based confirmation and rich visual interpretation.
Disclaimer
This indicator is designed for educational and informational use only. It should not be construed as financial advice or a recommendation to trade. Always perform your own analysis and consult a qualified financial advisor before making investment decisions. Use at your own risk.
TradeCrafted - Simple Scalping tool📈 TradeCrafted - Simple Scalping with Points Earned ( Suitable for use in any market — stocks, forex, crypto, commodities, and more.)
This indicator is engineered for high-precision scalping strategies and short-term intraday analysis. It combines multiple technical elements into a unified visual framework to assist traders with real-time decision-making.
Once a signal is generated:
A floating label (BUY or SELL) appears directly on the chart.
A horizontal line is drawn from the signal candle and automatically extends to the current bar.
The points gained or lost from the signal price to the current candle’s close are dynamically shown beside the price.
🔍 Key Features and Technical Breakdown:
🔁 Previous Daily Highs and Lows (10 levels each)
The script dynamically captures and plots the most recent 10 daily highs and 10 daily lows. These serve as key supply and demand zones, often acting as natural support and resistance levels. These levels help traders identify potential reversal or breakout zones.
📊 Stochastic-Based Buy/Sell Signal System
Uses a custom interpretation of the Stochastic Oscillator to identify momentum shifts.
Signals are filtered to start after the opening candle to reduce early-market noise.
Signals include point difference from entry, aiding risk-reward planning.
🕛 Daily Resetting EMAs
The indicator plots Exponential Moving Averages providing traders a fresh directional bias daily.
This helps in isolating short-term trends without carryover lag from the previous session.
📐 EMA Projection Lines (Trend Extension Tool)
Short-term EMA-based projection lines visually extend the prevailing trend, giving a forward-looking view of potential price movement. These act as trend confirmation zones when price action respects or crosses these levels.
🟢🔴 Candle Coloring System
Custom candle coloring dynamically reflects trend strength and direction, helping traders quickly spot trend continuation or reversal setups. Colors are based on internal momentum logic (e.g., EMA positioning or volume spike).
✅ Best Use Case:
This script is ideal for:
Scalping strategies on lower timeframes (1min, 5min, 15min)
Quick visual decision-making based on momentum + trend alignment
📌 Notes:
Only one signal (BUY or SELL) is displayed at a time to reduce clutter.
Signals are updated in real time — if no signal is active, the system waits silently.
This is a visual-only tool and does not repaint after the bar closes.
🚫 Disclaimer:
This script is for educational purposes only. Trading involves substantial risk. Please test thoroughly and use proper risk management before applying to live markets.
