Dynamic Market ScannerDynamic Market Scanner is a powerful tool for analyzing financial markets, combining a variety of indicators to provide clear and understandable signals.
Key Features:
- Signal Generation:
The main signals "Buy", "Sell", and "Hold" are formed based on the analysis of indicators:
- MACD
- RSI
- SMA
- EMA
- WMA
- Hull MA
Additional Analytical Tools:
- ATR is used to assess volatility and helps to understand the risk of the current market situation.
- SMA Ichimoku does not generate signals but is used to assess their accuracy.
- If the price is above the SMA, "Buy" signals are more likely, as this confirms the strength of the upward movement.
- If the price is below the SMA, "Buy" signals require additional confirmations.
Dashboard:
Displays the current price position relative to the indicators, helping the trader understand how strong or weak the current signals are.
Advantages of Using:
1. Signal Filtering:
The price position relative to the SMA Ichimoku helps to assess the likelihood of successful trades.
2. Volatility Analysis:
ATR provides additional information about risks and market fluctuations.
3. Comprehensive Approach:
Signal generation is based on a combination of key indicators, offering a multifaceted view of the market.
Explanation of Percent Calculation in the Table:
- The table shows the values of indicators such as MACD, ATR, EMA, SMA, WMA, and Hull MA in percentages. Percentages are calculated based on the current value of the indicator relative to its maximum and minimum.
- Percentages are displayed for each indicator, allowing traders to assess market conditions based on their current values.
Dynamic Market Scanner will become a reliable assistant in your technical analysis toolkit, providing a comprehensive overview of market conditions and helping to make informed trading decisions.
Osilator
ReversionXReversionX is a cutting-edge mean reversion strategy designed to identify high-probability turning points in the market. By leveraging advanced algorithms and dynamic levels, this tool pinpoints moments when price deviates significantly from its equilibrium, offering opportunities for precision entries and exits. Whether you’re trading trends or counter-trends, ReversionX adapts seamlessly to provide actionable insights.
Features include:
Dynamic Levels: Visualize key zones where reversals are likely to occur.
Customizable Parameters: Tailor the strategy to your trading style and market preferences.
Multi-Market Application: Works effectively across forex, stocks, crypto, and more.
Built-In Risk Management: Optimize trade potential with integrated stop loss and take profit logic.
Designed for traders seeking clarity in a chaotic market, ReversionX is your ultimate companion for navigating reversals with confidence.
LIT ENTRY CONFIRMATION V2LIT ENTRY CONFIRMATION V2 helps you find better scale in opportunities and refined entries.
Open Close Cross Strategy R5.1 by JustUncleL only short directioAt the strategy from JustUnlceL it change directly from short to long. For Trading Bot's this will be a problem. This Strategy open the Trade in short direction and will close the order if the Strategy from JustUncleL will open in long direction.
Open Close Cross Strategy R5.1 by JustUncleL only long directionOpen Close Cross Strategy R5.1 by JustUncleL only in long direction.
At the strategy from JustUnlceL it change directly from long to short. For Trading Bot's this will be a problem. This Strategy open the Trade in Long direction and will close the order if the Strategy from JustUncleL will open in Short direction.
HMA Buy Sell Signals - Profit ManagerNote : Settings should be adjusted according to the selected time frame. Try to find the best setting according to the profitability rate
Overall Functionality
This script combines several trading tools to create a comprehensive system for trend analysis, trade execution, and performance tracking. Users can identify market trends using specific moving averages and RSI indicators while managing profit and loss levels automatically.
Trend Detection and Trade Signals
Hull Moving Averages (HMA):
Two HMAs (a faster one and a slower one) are used to determine the market trend.
A buy signal is generated when the faster HMA crosses above the slower HMA.
Conversely, a sell signal is triggered when the faster HMA crosses below the slower one.
Visual Feedback:
Trend lines on the chart change color to reflect the trend direction (e.g., green for upward trends and red for downward trends).
Trade Levels and Management
Entry, Take-Profit, and Stop-Loss Levels:
When the trend shifts upwards, the script calculates entry, take-profit, and stop-loss levels based on the opening price.
Similarly, for downward trends, these levels are determined for short trades.
Commission Tracking:
Each trade includes a commission cost, which is factored into net profit and loss calculations.
Dynamic Labels:
Entry, take-profit, and stop-loss levels are visually marked on the chart for easier tracking.
Performance Tracking
Profit and Loss Tracking:
The script keeps a running total of profits, losses, and commissions for both long and short trades.
It also calculates the net profit after all costs are considered.
Performance Table:
A table is displayed on the chart summarizing:
The number of trades.
Total profit and loss for long and short positions.
Commission costs.
Net profit.
Fractal Support and Resistance
Dynamic Lines:
The script identifies the most recent significant highs and lows using fractals.
It draws support and resistance lines that automatically update as new fractals form.
Simplified Visuals:
The chart always shows the last two support and resistance lines, keeping the visualization clean and focused.
RSI-Based Signals
Overbought and Oversold Levels:
RSI is used to identify overbought (above 80) and oversold (below 20) conditions.
The script generates buy signals at oversold levels and sell signals at overbought levels.
Chart Indicators:
Arrows and labels appear on the chart to highlight these RSI-based opportunities.
Customization
The script allows users to customize key parameters such as:
Moving average lengths for trend detection.
Take-profit and stop-loss percentages.
Timeframes for backtesting.
Starting capital and commission rates.
Conclusion
This script is a versatile tool for traders, combining trend detection, automated trade management, and visual feedback. It simplifies decision-making by providing clear signals and tracking performance metrics, making it suitable for both beginners and experienced traders.
* The most recently drawn fractals represent potential support and resistance levels. If the price aligns with these levels at the time of entering a trade, it may indicate a likelihood of reversal. In such cases, it’s advisable to either avoid entering the trade altogether or proceed with increased caution.
The JewelThe Jewel is a comprehensive momentum and trend-based indicator designed to give traders clear insights into potential market shifts. By integrating RSI, Stochastic, and optional ADX filters with an EMA-based trend filter, this script helps identify high-conviction entry and exit zones for multiple trading styles, from momentum-based breakouts to mean-reversion setups.
Features
Momentum Integration:
Leverages RSI and Stochastic crossovers for real-time momentum checks, reducing noise and highlighting potential turning points.
Optional ADX Filter:
Analyzes market strength; only triggers signals when volatility and directional movement suggest strong follow-through.
EMA Trend Filter:
Identifies broad market bias (bullish vs. bearish), helping traders focus on higher-probability setups by aligning with the prevailing trend.
Caution Alerts:
Flags potentially overbought or oversold conditions when both RSI and Stochastic reach extreme zones, cautioning traders to manage risk or tighten stops.
Customizable Parameters:
Fine-tune RSI, Stochastic, ADX, and EMA settings to accommodate various assets, timeframes, and trading preferences.
How to Use
Momentum Breakouts: Watch for RSI cross above a set threshold and Stochastic cross up, confirmed by ADX strength and alignment with the EMA filter for potential breakout entries.
Mean Reversion: Look for caution signals (RSI & Stoch extremes) as early warnings for trend slowdown or reversal opportunities.
Trend Continuation: In trending markets, rely on the EMA filter to stay aligned with the primary direction. Use momentum crosses (RSI/Stochastic) to time add-on entries or exits.
Important Notes
Non-Investment Advice
The Jewel is a technical analysis tool and does not constitute financial advice. Always use proper risk management and consider multiple confirmations when making trading decisions.
No Warranty
This indicator is provided as-is, without warranty or guarantees of performance. Traders should backtest and verify its effectiveness on their specific instruments and timeframes.
Collaborate & Share
Feedback and suggestions are welcome! Engaging with fellow traders can help refine and adapt The Jewel for diverse market conditions, strengthening the TradingView community as a whole.
Happy Trading!
If you find this script valuable, please share your feedback, ideas, or enhancements. Collaboration fosters a more insightful trading experience for everyone.
EMA MTF Crossover [Two]1m = Scalping Trade 3% chart
Đ = Đảo chiều xu hướng = Swing Trade 5% chart
T = Tiếp diễn xu hướng = Scalp Trade 5% chart
Snipe 1-Minute IntradayPurpose
This script demonstrates a simple intraday approach using RSI, EMAs, VWAP, and an optional volume filter. It plots visual buy (bullish) and sell (bearish) signals on the chart under certain conditions. You can use it as a starting point to explore or develop your own intraday strategies.
Key Features
1. VWAP (Volume Weighted Average Price)
Plots the built-in VWAP for additional context on intraday price action.
2. EMA Crossover
Uses two EMAs (fast and slow). A bullish signal triggers when the fast EMA is above the slow EMA, and a bearish signal triggers when the fast EMA is below the slow EMA.
3. RSI Momentum Filter
An RSI reading above 50 indicates bullish momentum; below 50 indicates bearish momentum.
4. Volume Filter (Optional)
Compares the current bar’s volume against the average volume (over a user-defined period). When enabled, signals only appear if the current volume exceeds the average.
5. Time Window (Optional)
Allows you to define a specific time window (e.g., the first hour of trading) for valid signals. You can enable or disable this filter and set your preferred time zone.
How the Signals Are Generated
• Bullish Signal
o Occurs when:
1. Price is above VWAP.
2. Fast EMA is above Slow EMA.
3. RSI is above 50.
4. (Optional) Current volume exceeds the average volume if the volume filter is enabled.
5. (Optional) The chart’s timestamp is within the specified session if the time filter is enabled.
A green triangle is plotted below the bar, and an optional background highlight is shown.
• Bearish Signal
Occurs when the conditions are inverted (price below VWAP, fast EMA below slow EMA, RSI below 50, volume filter and time window—if enabled—are satisfied).
A red triangle is plotted above the bar, and an optional background highlight is shown.
How to Use
1. Load on a 1-Minute Chart (Recommended)
This script is intended for intraday timeframes (specifically 1-minute). Feel free to experiment with other timeframes.
2. Adjust Inputs
You can modify the RSI length, EMA lengths, and volume lookback to suit your preferences or trading style.
If you prefer signals outside the default session hours, turn off “Use Time Filter for Signals?” or change the session window and time zone.
3. Enable or Disable Volume Filter
Turn this on if you only want signals during higher-than-average volume bars.
4. Combine with Other Analysis
This script can be used as a visual tool; however, it is not a complete trading system by itself. Consider additional technical or fundamental analysis to validate your trading decisions.
5. Risk Management
Always practice sound risk management. Setting appropriate stop-losses or using position sizing techniques can help manage potential losses.
Important Notes and Disclaimers
• Educational Only: This script is for demonstration and educational purposes and does not guarantee future results.
• No Financial Advice: Nothing here should be construed as financial or investment advice. Always do your own research and consider consulting a qualified financial professional.
• Test Before Using Live: If you plan to incorporate this script into a strategy, backtest it on historical data and consider forward-testing on a demo account.
• License: This code is subject to the Mozilla Public License 2.0.
[WSP-V1] Adaptive MACD/RSIDiv/SMC/SMA/EMAThis indicator is based on an adaptive combination of MACD RSI divergence, EMA, SMA, SMC, and more.
It is suitable for trend-following strategies and works on all timeframes. It performs particularly well on the daily timeframe.
##How It Works##
MACD: Two Exponential Moving Averages
The "Zones," where different actions should be taken, are highlighted with green and red backgrounds (MA26/MA12) on the chart. These zones indicate when the MACD is near the 0 line. There is also a small cycle color label to help identify when the first candle's MACD closes near the 0 line.
RSI Divergence
Alerts are triggered when a bullish or bearish divergence occurs.
The alerts may have minor repainting, so they should not be used as entry/exit signals, but rather as a guideline to be considered along with other indicators (e.g., MACD), to notify of potential reversal signals.
EMA and SMA
Plots exponential moving averages on four timeframes at once for rapid indication of momentum shifts, as well as slower-moving confirmations.
The following EMAs are displayed:
EMA 20 (Light Green)
EMA 50 (Dark Green)
EMA 100 (Yellow)
EMA 200 (Pink)
It also displays MA 100 (Thick Blue) and a dynamic SMA21. If the candles are above the SMA21, it will be green; otherwise, it will be red.
These are used for checking momentum and are great for evaluating the strength of a trend.
Smart Money Concepts (SMC)
The internal and swing market structure labeling includes:
Break of Structure (BOS)
Change of Character (CHoCH)
Order Blocks (Bullish & Bearish)
Equal Highs & Lows
Fair Value Gap Detection
Previous Highs & Lows
Premium & Discount Zones (as a range)
Options to style the indicator for easier display of these concepts
Important:
Please try it out without risking real money at first. This is Version 1, optimized for the daily timeframe and trend-following setups. I welcome your suggestions and feedback!
Regime Classifier Oscillator (AiBitcoinTrend)The Regime Classifier Oscillator (AiBitcoinTrend) is an advanced tool for understanding market structure and detecting dynamic price regimes. By combining filtered price trends, clustering algorithms, and an adaptive oscillator, it provides traders with detailed insights into market phases, including accumulation, distribution, advancement, and decline.
This innovative tool simplifies market regime classification, enabling traders to align their strategies with evolving market conditions effectively.
👽 What is a Regime Classifier, and Why is it Useful?
A Regime Classifier is a concept in financial analysis that identifies distinct market conditions or "regimes" based on price behavior and volatility. These regimes often correspond to specific phases of the market, such as trends, consolidations, or periods of high or low volatility. By classifying these regimes, traders and analysts can better understand the underlying market dynamics, allowing them to adapt their strategies to suit prevailing conditions.
👽 Common Uses in Finance
Risk Management: Identifying high-volatility regimes helps traders adjust position sizes or hedge risks.
Strategy Optimization: Traders tailor their approaches—trend-following strategies in trending regimes, mean-reversion strategies in consolidations.
Forecasting: Understanding the current regime aids in predicting potential transitions, such as a shift from accumulation to an upward breakout.
Portfolio Allocation: Investors allocate assets differently based on market regimes, such as increasing cash positions in high-volatility environments.
👽 Why It’s Important
Markets behave differently under varying conditions. A regime classifier provides a structured way to analyze these changes, offering a systematic approach to decision-making. This improves both accuracy and confidence in navigating diverse market scenarios.
👽 How We Implemented the Regime Classifier in This Indicator
The Regime Classifier Oscillator takes the foundational concept of market regime classification and enhances it with advanced computational techniques, making it highly adaptive.
👾 Median Filtering: We smooth price data using a custom median filter to identify significant trends while eliminating noise. This establishes a baseline for price movement analysis.
👾 Clustering Model: Using clustering techniques, the indicator classifies volatility and price trends into distinct regimes:
Advance: Strong upward trends with low volatility.
Decline: Downward trends marked by high volatility.
Accumulation: Consolidation phases with subdued volatility.
Distribution: Topping or bottoming patterns with elevated volatility.
This classification leverages historical price data to refine cluster boundaries dynamically, ensuring adaptive and accurate detection of market states.
Volatility Classification: Price volatility is analyzed through rolling windows, separating data into high and low volatility clusters using distance-based assignments.
Price Trends: The interaction of price levels with the filtered trendline and volatility clusters determines whether the market is advancing, declining, accumulating, or distributing.
👽 Dynamic Cycle Oscillator (DCO):
Captures cyclic behavior and overlays it with smoothed oscillations, providing real-time feedback on price momentum and potential reversals.
Regime Visualization:
Regimes are displayed with intuitive labels and background colors, offering clear, actionable insights directly on the chart.
👽 Why This Implementation Stands Out
Dynamic and Adaptive: The clustering and refit mechanisms adapt to changing market conditions, ensuring relevance across different asset classes and timeframes.
Comprehensive Insights: By combining price trends, volatility, and cyclic behaviors, the indicator provides a holistic view of the market.
This implementation bridges the gap between theoretical regime classification and practical trading needs, making it a powerful tool for both novice and experienced traders.
👽 Applications
👾 Regime-Based Trading Strategies
Traders can use the regime classifications to adapt their strategies effectively:
Advance & Accumulation: Favorable for entering or holding long positions.
Decline & Distribution: Opportunities for short positions or risk management.
👾 Oscillator Insights for Trend Analysis
Overbought/oversold conditions: Early warning of potential reversals.
Dynamic trends: Highlights the strength of price momentum.
👽 Indicator Settings
👾 Filter and Classification Settings
Filter Window Size: Controls trend detection sensitivity.
ATR Lookback: Adjusts the threshold for regime classification.
Clustering Window & Refit Interval: Fine-tunes regime accuracy.
👾 Oscillator Settings
Dynamic Cycle Oscillator Lookback: Defines the sensitivity of cycle detection.
Smoothing Factor: Balances responsiveness and stability.
Disclaimer: This information is for entertainment purposes only and does not constitute financial advice. Please consult with a qualified financial advisor before making any investment decisions.
Relative Strength Index with EMAĐịnh nghĩa về phương pháp Momentum Dynamic Strategy
Phương pháp Momentum Dynamic Strategy là một hệ thống giao dịch kết hợp các nguyên lý cốt lõi của Lý thuyết Dow về xu hướng và cấu trúc thị trường, cùng với chỉ báo RSI (Relative Strength Index) để đo lường động lượng, được làm mượt bởi một đường EMA (Exponential Moving Average) của chính RSI. Sự giao thoa giữa ba yếu tố này cho phép nhà giao dịch:
Xác định xu hướng và cấu trúc thị trường theo Lý thuyết Dow, qua đó nắm rõ các giai đoạn thị trường đang trong xu hướng tăng, xu hướng giảm hay tích luỹ.
Đo lường và phân tích động lượng (momentum) của xu hướng thông qua RSI, giúp nhận diện sức mạnh hoặc độ “đuối” của xu hướng hiện tại.
Lọc nhiễu và tăng độ chính xác của tín hiệu bằng cách sử dụng EMA để làm mượt đường RSI, từ đó hạn chế tín hiệu sai (false signals) thường gặp trong các thị trường biến động mạnh.
Cách thức hoạt động
Xác định cấu trúc thị trường (Market Structure):
Dựa trên Lý thuyết Dow, thị trường được chia thành các pha xu hướng tăng (Higher High – Higher Low), xu hướng giảm (Lower High – Lower Low) hoặc pha tích luỹ (đi ngang). Việc nhận diện chính xác giúp nhà giao dịch biết được bối cảnh tổng quan và điều chỉnh chiến lược phù hợp.
Đo lường động lượng qua RSI:
RSI là chỉ báo dao động từ 0 đến 100, thể hiện sức mạnh tương đối. RSI càng cao biểu thị lực mua mạnh, và ngược lại. Với Momentum Dynamic Strategy, RSI không chỉ đơn thuần được sử dụng ở các ngưỡng quá mua/quá bán (70/30) mà còn được quan sát trong bối cảnh xu hướng để đánh giá lực đi tiếp hay khả năng đảo chiều.
Sử dụng EMA trên RSI để làm mượt tín hiệu:
Thay vì đọc trực tiếp RSI, phương pháp này áp dụng thêm một đường EMA (thường dùng EMA 9 hoặc EMA 14) trên RSI. Khi RSI cắt lên/cắt xuống EMA của chính nó, hoặc khi EMA của RSI “bẻ hướng”, đó có thể là tín hiệu sớm của sự thay đổi động lượng trong xu hướng.
Kết hợp tín hiệu Mua/Bán:
Tín hiệu Mua (Long Entry): Xuất hiện khi RSI vượt lên trên EMA của nó trong bối cảnh thị trường xác nhận đang trong xu hướng tăng (hoặc vừa phá vỡ cấu trúc giảm).
Tín hiệu Bán (Short Entry): Xuất hiện khi RSI cắt xuống EMA của nó và thị trường đang hoặc mới chuyển sang pha xu hướng giảm.
Ý nghĩa và lợi ích
Tối ưu hoá hiệu quả giao dịch: Xác định đúng xu hướng theo Dow, kết hợp đo lường động lượng qua RSI, sẽ giúp loại bớt các lệnh “ngược sóng”.
Giảm nhiễu, tăng độ tin cậy: Việc dùng EMA trên RSI đóng vai trò lọc tín hiệu sai, nhất là khi thị trường biến động mạnh hoặc có nhiều nhiễu.
Dễ dàng áp dụng: Các yếu tố cốt lõi (Dow, RSI, EMA) đều là những công cụ phổ biến, giúp nhà giao dịch tiếp cận và thực hành phương pháp này một cách nhanh chóng.
Relative Trend Navigator Pro [QuantAlgo]Upgrade your trend-following investing and trading strategy with Relative Trend Navigator Pro by QuantAlgo , a sophisticated technical indicator that combines adaptive trend recognition with dynamic momentum analysis to deliver high quality market insights. Whether you're a medium- to long-term investor focusing on sustained moves or an active trader seeking high-probability entries, this indicator's multi-layered approach offers valuable strategic advantages that you don't want to miss out on!
🟢 Core Architecture
The foundation of this indicator lies in its innovative Relative Trend Index (RTI) calculation and dynamic state management system. By implementing a unique array-based analysis alongside statistical volatility measures, each price movement is evaluated against its historical context while maintaining responsiveness to current market conditions. This sophisticated approach helps distinguish genuine trend developments from market noise across various timeframes and instruments.
🟢 Technical Foundation
Three key components power this indicator are:
Dynamic Trend Boundaries: Utilizes standard deviation-based channels to establish adaptive price ranges
Array-Based Historical Analysis: A comprehensive dynamic momentum system that processes and sorts historical data for trend context
Relative Trend Index (RTI): A normalized calculation that measures current price position relative to historical boundaries
🟢 Key Features & Signals
The Relative Trend Navigator Pro delivers market insights through:
Color-adaptive RTI line that reflects trend strength and direction
Dynamic threshold levels for bull and bear signal generation
Smart fill coloring between RTI and zero line for enhanced visualization
Clear entry and exit markers for validated trend changes
Intelligent bar coloring that highlights current trend state
Customizable alert system for both bullish and bearish setups
🟢 Practical Usage Tips
Here's how to maximize your use of the Relative Trend Navigator Pro :
1/ Setup:
Add the indicator to your favorites ⭐️
Begin with the default historical lookback for balanced analysis
Use the default sensitivity setting for optimal signal generation
Start with standard threshold levels
Customize visualization colors to match your chart preferences
Enable both bar coloring and signal markers for complete visual feedback
2/ Reading Signals:
Watch for signal markers - they indicate validated trend transitions
Monitor RTI line color changes for trend direction confirmation
Observe the fill color between RTI and zero line for trend strength
Use the built-in alert system to stay informed of potential trend changes
🟢 Pro Tips
Adjust Historical Lookback Period based on your preferred timeframe:
→ Lower values (20-50) for more responsive signals
→ Higher values (100-200) for more stable trend identification
Fine-tune Sensitivity based on market conditions:
→ Higher values (95-100) for choppy markets
→ Lower values (85-95) for trending markets
Optimize Threshold Levels for your strategy:
→ Increase thresholds for stronger trend confirmation
→ Decrease thresholds for earlier entries
Combine with:
→ Volume analysis for trade confirmation
→ Multiple timeframe analysis for strategic context
→ Support/resistance levels for entry/exit refinement
920 ЕМА + RSI"This indicator combines two exponential moving averages (EMA) and the Relative Strength Index (RSI) to identify potential buy and sell signals. It uses EMA crossovers (9 and 20 periods) to detect trend reversals and RSI to confirm the strength of the trend or spot overbought/oversold conditions. Suitable for traders looking for short- to medium-term market opportunities."
Let me know if you'd like further refinements! 😊
Market Cycles
The Market Cycles indicator transforms market price data into a stochastic wave, offering a unique perspective on market cycles. The wave is bounded between positive and negative values, providing clear visual cues for potential bullish and bearish trends. When the wave turns green, it signals a bullish cycle, while red indicates a bearish cycle.
Designed to show clarity and precision, this tool helps identify market momentum and cyclical behavior in an intuitive way. Ideal for fine-tuning entries or analyzing broader trends, this indicator aims to enhance the decision-making process with simplicity and elegance.
DR Oscillator 8 * Measures price deviation: Calculates the percentage difference between the closing price and a simple moving average.
* Defines upper and lower limits: User-defined upper and lower limits determine overbought and oversold conditions.
* Signal line: A simple moving average of the deviation is plotted as a signal line.
* Deviation smoothing (optional): The deviation can be smoothed using a moving average to create a smoother line.
* Additional signal line (optional): An additional signal line can be added for further analysis.
* Visual representation: The oscillator is plotted with different colors to indicate overbought, oversold, or neutral conditions.
* Background coloring: The background color changes based on the oscillator's value to provide visual cues for buy or sell signals.
In summary:
The DR Oscillator helps traders identify potential buying and selling opportunities by measuring the extent to which a security's price has deviated from its moving average. When the oscillator moves above the upper limit, it suggests that the asset may be overbought and due for a price correction. Conversely, when it moves below the lower limit, it may indicate an oversold condition and a potential buying opportunity.
However, it's important to note that the DR Oscillator is just one tool and should be used in conjunction with other technical indicators and fundamental analysis for more accurate trading decisions.
Money Flow ExtendedMoney Flow Extended (MF)
Definition
The Money Flow Extended (MF) indicator brings together the functionality of the Money Flow Index indicator (MFI) , a tool created by Gene Quong and Avrum Soudack and used in technical analysis for measuring buying and selling pressure, and The Relative Strength Index (RSI) , a well versed momentum based oscillator created by J.Welles Wilder Jr., which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements.
History
As the Money Flow Index (MFI) is quite similar to The Relative Strength Index (RSI), essentially the RSI with the added aspect of volume, adding a Moving Average, divergence calculation, oversold and overbought gradients, facilitates the transition from RSI, making the use of MFI pretty similar.
What to look for
Overbought/Oversold
When momentum and price rise fast enough, at a high enough level, eventual the security will be considered overbought. The opposite is also true. When price and momentum fall far enough, they can be considered oversold. Traditional overbought territory starts above 80 and oversold territory starts below 20. These values are subjective however, and a technical analyst can set whichever thresholds they choose.
Divergence
MF Divergence occurs when there is a difference between what the price action is indicating and what MF is indicating. These differences can be interpreted as an impending reversal. Specifically, there are two types of divergences, bearish and bullish.
Bullish MFI Divergence – When price makes a new low but MF makes a higher low.
Bearish MFI Divergence – When price makes a new high but MF makes a lower high.
Failure Swings
Failure swings are another occurrence which can lead to a price reversal. One thing to keep in mind about failure swings is that they are completely independent of price and rely solely on MF. Failure swings consist of four steps and are considered to be either Bullish (buying opportunity) or Bearish (selling opportunity).
Bullish Failure Swing
MF drops below 20 (considered oversold).
MF bounces back above 20.
MF pulls back but remains above 20 (remains above oversold)
MF breaks out above its previous high.
Bearish Failure Swing
MF rises above 80 (considered overbought)
MF drops back below 80
MF rises slightly but remains below 80 (remains below overbought)
MF drops lower than its previous low.
Summary
The Money Flow Extended (MF) can be a very valuable technical analysis tool. Of course, MF should not be used alone as the sole source for a trader’s signals or setups. MF can be combined with additional indicators or chart pattern analysis to increase its effectiveness.
Inputs
Length
The time period to be used in calculating the MF. 14 is the default.
Pivot Loopback
After how many bars you want the divergence to show, on the scale of 1-5. 5 is the default.
Calculate Divergence
Calculating divergences is needed in order for divergence alerts to fire.
Moving Average section
You can learn more about the inputs in the "Moving Average" section in this Help Center article .
Style
MF
Can toggle the visibility of the MF as well as the visibility of a price line showing the actual current value of the MF. Can also select the MF Line's color, line thickness and visual style.
MF-based MA
Can toggle the visibility of the MF-based MA as well as the visibility of a price line showing the actual current MA value. Can also select its color, line thickness and line style.
MF Upper Band
Can toggle the visibility of the Upper Band as well as sets the boundary, on the scale of 1-100, for the Upper Band (80 is the default). The color, line thickness and line style can also be determined.
MF Middle Band
Can toggle the visibility of the Middle Band as well as sets the boundary, on the scale of 1-100, for the Middle Band (50 is the default). The color, line thickness and line style can also be determined.
MF Lower Band
Can toggle the visibility of the Lower Band as well as sets the boundary, on the scale of 1-100, for the Lower Band (20 is the default). The color, line thickness and line style can also be determined.
MF Background Fill
Toggles the visibility of a Background color within the MF's boundaries. Can also change the Color itself as well as the opacity.
Overbought Gradient Fill
Can toggle the visibility of the Overbought Gradient Fill. Can also select its colors combination.
Oversold Gradient Fill
Can toggle the visibility of the Oversold Gradient Fill. Can also select its colors combination.
Precision
Sets the number of decimal places to be left on the indicator's value before rounding up. The higher this number, the more decimal points will be on the indicator's value.
MACD Pseudo Super Smoother [MACDPSS]The MACD Pseudo Super Smoother (MACDPSS) is a variation of the classic Moving Average Convergence Divergence (MACD) indicator. It utilizes the Pseudo Super Smoother (PSS) filter, a Finite Impulse Response (FIR) filter, to smooth both the MACD line and the signal line, providing a potentially refined representation of momentum compared to the traditional MACD which typically uses Exponential Moving Averages (EMAs).
The PSS, inspired by the Super Smoother filter (an Infinite Impulse Response (IIR) filter), aims to reduce noise while minimizing lag. The MACDPSS leverages this FIR implementation to create a unique MACD variant. The core concept of MACD, which involves analyzing the relationship between two moving averages of different lengths to identify momentum shifts, remains intact.
Filter Types and Customization
The MACDPSS offers independent control over the smoothing applied to the MACD line and the signal line through two "Filter Style" inputs:
Oscillator MA Type: This setting determines the filter type used to calculate the fast and slow moving averages that form the basis of the MACD line.
Signal Line MA Type: This setting controls the filter type used to smooth the MACD line, generating the signal line.
Each of these settings allows a choice between two distinct PSS filter types:
Type 1: Provides a smoother output with a more gradual response, characterized by greater attenuation of high-frequency components.
Type 2: Exhibits increased reactivity, allowing for a faster response to shifts in momentum, but with a potential for overshoot.
This dual-filter approach provides flexibility in tailoring the indicator's responsiveness and smoothness to individual preferences and specific market conditions. The user can, for example, choose a smoother Type 1 filter for the MACD line and a more reactive Type 2 filter for the signal line, or vice-versa.
Calculations
The MACDPSS calculates the MACD line by subtracting the slow moving average from the fast moving average, both derived using the PSS filter with the selected "Oscillator MA Type." The signal line is then calculated by applying the PSS filter with the selected "Signal Line MA Type" to the MACD line. The histogram represents the difference between the MACD line and the signal line.
Interpretation
The interpretation of the MACDPSS is similar to the standard MACD. Crossovers between the MACD line and the signal line, the position of the MACD line relative to the zero line, and the slope and direction of the histogram are all used to gauge momentum and potential trend changes.
Disclaimer
The MACDPSS, while inspired by the Super Smoother, utilizes a distinct FIR approximation (the PSS). Therefore, its behavior will not perfectly mirror that of a MACD calculated using IIR filters. The PSS is designed to be a rough approximation. This indicator should be used in conjunction with other technical analysis tools, and users should be aware of the inherent differences between FIR and IIR filter characteristics when interpreting the indicator's signals. Like any moving average based indicator, the MACDPSS is a lagging indicator, although it tries to improve it. The novelty of this indicator comes from applying a unique FIR filter to a classic momentum oscillator in a configurable way.
RSI Buy-Sell Indicator - MissouriTimThe RSI Buy-Sell Indicator by MissouriTim, is an advanced trading tool designed to elevate your trading strategy. This indicator leverages the power of the Relative Strength Index (RSI) to provide clear and actionable buy and sell signals, ensuring you make informed trading decisions with confidence.
Key Features:
Customizable RSI Settings: Tailor the RSI source, length, and thresholds for overbought and oversold conditions to fit your trading style.
Real-Time Alerts: Enable BUY and SELL alerts to receive instant notifications when market conditions meet your criteria.
Visual Clarity: Easily distinguish between buy and sell signals with customizable line colors, ensuring you never miss a trading opportunity.
Intelligent Labeling: Buy and Sell labels dynamically update to reflect overbought and oversold current market conditions, providing you with clear entry and exit points.
Swing Lines: Visualize price movements with intuitive swing lines that connect recent highs and lows, helping you spot trends and reversals.
How It Works:
The RSI Buy-Sell Indicator utilizes the RSI and a specially designed algorithm to determine when an asset is overbought or oversold. When the RSI value crosses the specified overbought or oversold thresholds, the indicator generates a signal, displayed as a label on the chart. Additionally, swing lines are drawn to connect recent highs and lows, offering a visual representation of market trends.
This tool is perfect for traders who want to enhance their technical analysis and make more informed decisions. With its customizable settings and real-time alerts, the RSI Buy-Sell Indicator by MissouriTim is a must-have for any serious trader.
HV-RV Oscillator by DINVESTORQ(PRABIR DAS)Description:
The HV-RV Oscillator is a powerful tool designed to help traders track and compare two types of volatility measures: Historical Volatility (HV) and Realized Volatility (RV). This indicator is useful for identifying periods of market volatility and can be employed in various trading strategies. It plots both volatility measures on a normalized scale (0 to 100) to allow easy comparison and analysis.
How It Works:
Historical Volatility (HV):
HV is calculated by taking the log returns of the closing prices and finding the standard deviation over a specified period (default is 14 periods).
The value is then annualized assuming 252 trading days in a year.
Realized Volatility (RV):
RV is based on the True Range, which is the maximum of the current high-low range, the difference between the high and the previous close, and the difference between the low and the previous close.
Like HV, the standard deviation of the True Range over a specified period is calculated and annualized.
Normalization:
Both HV and RV values are normalized to a 0-100 scale, making it easy to see their relative magnitude over time.
The highest and lowest values within the period are used to normalize the data, which smooths out short-term volatility spikes.
Smoothing:
The normalized values of both HV and RV are then smoothed using a Simple Moving Average (SMA) to reduce noise and provide a clearer trend.
Crossover Signals:
Buy Signal : When the Normalized HV crosses above the Normalized RV, it indicates that the historical volatility is increasing relative to the realized volatility, which could be interpreted as a buy signal.
Sell Signal : When the Normalized HV crosses below the Normalized RV, it suggests that the historical volatility is decreasing relative to the realized volatility, which could be seen as a sell signal.
Features:
Two Volatility Lines: The blue line represents Normalized HV, and the orange line represents Normalized RV.
Neutral Line: A gray dashed line at the 50 level indicates a neutral state between the two volatility measures.
Buy/Sell Markers: Green upward arrows are shown when the Normalized HV crosses above the Normalized RV, and red downward arrows appear when the Normalized HV crosses below the Normalized RV.
Inputs:
HV Period: The number of periods used to calculate Historical Volatility (default = 14).
RV Period: The number of periods used to calculate Realized Volatility (default = 14).
Smoothing Period: The number of periods used for smoothing the normalized values (default = 3).
How to Use:
This oscillator is designed for traders who want to track the relationship between Historical Volatility and Realized Volatility.
Buy signals occur when HV increases relative to RV, which can indicate increased market movement or potential breakout conditions.
Sell signals occur when RV is greater than HV, signaling reduced volatility or potential trend exhaustion.
Example Use Cases:
Breakout/Trend Strategy: Use the oscillator to identify potential periods of increased volatility (when HV crosses above RV) for breakout trades.
Mean Reversion: Use the oscillator to detect periods of low volatility (when RV crosses above HV) that might signal a return to the mean or consolidation.
This tool can be used on any asset class such as stocks, forex, commodities, or indices to help you make informed decisions based on the comparison of volatility measures.
NOTE: FOR INTRDAY PURPOSE USE 30/7/9 AS SETTING AND FOR DAY TRADE USE 14/7/9
Dual Bayesian For Loop [QuantAlgo]Discover the power of probabilistic investing and trading with Dual Bayesian For Loop by QuantAlgo , a cutting-edge technical indicator that brings statistical rigor to trend analysis. By merging advanced Bayesian statistics with adaptive market scanning, this tool transforms complex probability calculations into clear, actionable signals—perfect for both data-driven traders seeking statistical edge and investors who value probability-based confirmation!
🟢 Core Architecture
At its heart, this indicator employs an adaptive dual-timeframe Bayesian framework with flexible scanning capabilities. It utilizes a configurable loop start parameter that lets you fine-tune how recent price action influences probability calculations. By combining adaptive scanning with short-term and long-term Bayesian probabilities, the indicator creates a sophisticated yet clear framework for trend identification that dynamically adjusts to market conditions.
🟢 Technical Foundation
The indicator builds on three innovative components:
Adaptive Loop Scanner: Dynamically evaluates price relationships with adjustable start points for precise control over historical analysis
Bayesian Probability Engine: Transforms market movements into probability scores through statistical modeling
Dual Timeframe Integration: Merges immediate market reactions with broader probability trends through custom smoothing
🟢 Key Features & Signals
The Adaptive Dual Bayesian For Loop transforms complex calculations into clear visual signals:
Binary probability signal displaying definitive trend direction
Dynamic color-coding system for instant trend recognition
Strategic L/S markers at key probability reversals
Customizable bar coloring based on probability trends
Comprehensive alert system for probability-based shifts
🟢 Practical Usage Tips
Here's how you can get the most out of the Dual Bayesian For Loop :
1/ Setup:
Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
Start with default source for balanced price representation
Use standard length for probability calculations
Begin with Loop Start at 1 for complete price analysis
Start with default Loop Lookback at 70 for reliable sampling size
2/ Signal Interpretation:
Monitor probability transitions across the 50% threshold (0 line)
Watch for convergence of short and long-term probabilities
Use L/S markers for potential trade signals
Monitor bar colors for additional trend confirmation
Configure alerts for significant trend crossovers and reversals, ensuring you can act on market movements promptly, even when you’re not actively monitoring the charts
🟢 Pro Tips
Fine-tune loop parameters for optimal sensitivity:
→ Lower Loop Start (1-5) for more reactive analysis
→ Higher Loop Start (5-10) to filter out noise
Adjust probability calculation period:
→ Shorter lengths (5-10) for aggressive signals
→ Longer lengths (15-30) for trend confirmation
Strategy Enhancement:
→ Compare signals across multiple timeframes
→ Combine with volume for trade validation
→ Use with support/resistance levels for entry timing
→ Integrate other technical tools for even more comprehensive analysis
Bid/Ask Volume CrossThe Bid/Ask Volume Cross is a volume-based indicator that separates and visualizes buying and selling volume pressure through dual-line visualization:
Green Line (Ask Volume):
-Tracks volume when price closes above the open
-Represents buying pressure/demand
-Stronger when closes are bullish with high volume
Red Line (Bid Volume):
-Tracks volume when price closes at or below the open
-Represents selling pressure/supply
-Stronger when closes are bearish with high volume
Volume Intensity:
-Lines become more opaque when volume increases relative to:
-20-period moving average
-Previous bar's volume
-Opaque colors = stronger volume
-Translucent colors = weaker volume
Divergence Trading:
-Bullish Divergence:
-Price makes lower lows while Ask Volume makes higher lows
-Suggests potential reversal from downtrend
-Look for dark green intensity confirming buying pressure
Bearish Divergence:
-Price makes higher highs while Bid Volume makes lower highs
-Suggests potential reversal from uptrend
-Look for dark red intensity confirming selling pressure
Settings:
-Volume Sum Lookback (default 5): Bars to sum volume over
-Color Intensity (default 0.4): Controls color opacity sensitivity
