Momentum Nexus Oscillator [UAlgo]The "Momentum Nexus Oscillator " indicator is a comprehensive momentum-based tool designed to provide traders with visual cues on market conditions using multiple oscillators. By combining four popular technical indicators—RSI (Relative Strength Index), VZO (Volume Zone Oscillator), MFI (Money Flow Index), and CCI (Commodity Channel Index)—this heatmap offers a holistic view of the market's momentum.
The indicator plots two lines: one representing the current chart’s combined momentum score and the other representing a higher timeframe’s (HTF) score, if enabled. Through smooth gradient color transitions and easy-to-read signals, the Momentum Nexus Heatmap allows traders to easily identify potential trend reversals or continuation patterns.
Traders can use this tool to detect overbought or oversold conditions, helping them anticipate possible long or short trade opportunities. The option to use a higher timeframe enhances the flexibility of the indicator for longer-term trend analysis.
🔶 Key Features
Multi-Oscillator Approach: Combines four popular momentum oscillators (RSI, VZO, MFI, and CCI) to generate a weighted score, providing a comprehensive picture of market momentum.
Dynamic Color Heatmap: Utilizes a smooth gradient transition between bullish and bearish colors, reflecting market momentum across different thresholds.
Higher Timeframe (HTF) Compatibility: Includes an optional higher timeframe input that displays a separate score line based on the same momentum metrics, allowing for multi-timeframe analysis.
Customizable Parameters: Adjustable RSI, VZO, MFI, and CCI lengths, as well as overbought and oversold levels, to match the trader’s strategy or preference.
Signal Alerts: Built-in alert conditions for both the current chart and higher timeframe scores, notifying traders when long or short entry signals are triggered.
Buy/Sell Signals: Displays visual signals (▲ and ▼) on the chart when combined scores reach overbought or oversold levels, providing clear entry cues.
User-Friendly Visualization: The heatmap is separated into four sections representing each indicator, providing a transparent view of how each contributes to the overall momentum score.
🔶 Interpreting Indicator:
Combined Score
The indicator generates a combined score by weighing the individual contributions of RSI, VZO, MFI, and CCI. This score ranges from 0 to 100 and is plotted as a line on the chart. Lower values suggest potential oversold conditions, while higher values indicate overbought conditions.
Color Heatmap
The indicator divides the combined score into four distinct sections, each representing one of the underlying momentum oscillators (RSI, VZO, MFI, and CCI). Bullish (greenish) colors indicate upward momentum, while bearish (grayish) colors suggest downward momentum.
Long/Short Signals
When the combined score drops below the oversold threshold (default is 26), a long signal (▲) is displayed on the chart, indicating a potential buying opportunity.
When the combined score exceeds the overbought threshold (default is 74), a short signal (▼) is shown, signaling a potential sell or short opportunity.
Higher Timeframe Analysis
If enabled, the indicator also plots a line representing the combined score for a higher timeframe. This can be used to align lower timeframe trades with the broader trend of a higher timeframe, providing added confirmation.
Signals for long and short entries are also plotted for the higher timeframe when its combined score reaches overbought or oversold levels.
🔶Purpose of Using Multiple Technical Indicators
The combination of RSI, VZO, MFI, and CCI in the Momentum Nexus Heatmap provides a comprehensive approach to analyzing market momentum by leveraging the unique strengths of each indicator. This multi-indicator method minimizes the limitations of using just one tool, resulting in more reliable signals and a clearer understanding of market conditions.
RSI (Relative Strength Index)
RSI contributes by measuring the strength and speed of recent price movements. It helps identify overbought or oversold levels, signaling potential trend reversals or corrections. Its simplicity and effectiveness make it one of the most widely used indicators in technical analysis, contributing to momentum assessment in a straightforward manner.
VZO (Volume Zone Oscillator)
VZO adds the critical element of volume to the analysis. By assessing whether price movements are supported by significant volume, VZO distinguishes between price changes that are driven by real market conviction and those that might be short-lived. It helps validate the strength of a trend or alert the trader to potential weakness when price moves are unsupported by volume.
MFI (Money Flow Index)
MFI enhances the analysis by combining price and volume to gauge money flow into and out of an asset. This indicator provides insight into the participation of large players in the market, showing if money is pouring into or exiting the asset. MFI acts as a volume-weighted version of RSI, giving more weight to volume shifts and helping traders understand the sustainability of price trends.
CCI (Commodity Channel Index)
CCI contributes by measuring how far the price deviates from its statistical average. This helps in identifying extreme conditions where the market might be overextended in either direction. CCI is especially useful for spotting trend reversals or continuations, particularly during market extremes, and for identifying divergence signals.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
อินดิเคเตอร์และกลยุทธ์
Volatility Gaussian Bands [BigBeluga]The Volatility Gaussian Bands indicator is a cutting-edge tool designed to analyze market trends and volatility with high precision. By applying a Gaussian filter to smooth price data and implementing dynamic bands based on market volatility, this indicator provides clear signals for trend direction, strength, and potential reversals. With updated volatility calculations, it enhances the accuracy of trend detection, making it a powerful addition to any trader's toolkit.
⮁ KEY FEATURES & USAGE
● Gaussian Filter Trend Bands:
The Gaussian Filter forms the foundation of this indicator by smoothing price data to reveal the underlying trend. The trend is visualized through upper and lower bands that adjust dynamically based on market volatility. These bands provide clear visual cues for traders: a crossover above the upper band indicates a potential uptrend, while a cross below the lower band signals a potential downtrend. This feature allows traders to identify trends with greater accuracy and act accordingly.
● Dynamic Trend Strength Gauges:
The indicator includes trend strength gauges positioned at the top and bottom of the chart. These gauges dynamically measure the strength of the uptrend and downtrend, based on the middle Gaussian line. Even if the trend is downward, a rising midline will cause the upward trend strength gauge to show an increase, offering a nuanced view of the market’s momentum.
Weakening of the trend:
● Fast Trend Change Indicators:
Triangles with a "+" symbol appear on the chart to signal rapid changes in trend direction. These indicators are particularly useful when the trend changes swiftly while the midline continues to grow in its previous direction. For instance, during a downtrend, if the trend suddenly shifts upward while the midline is still declining, a triangle with a "+" will indicate this quick reversal. This feature is crucial for traders looking to capitalize on rapid market movements.
● Retest Signals:
Retest signals, displayed as triangles, highlight potential areas where the price may retest the Gaussian line during a trend. These signals provide an additional layer of analysis, helping traders confirm trend continuations or identify possible reversals. The retest signals can be customized based on the trader’s preferences.
⮁ CUSTOMIZATION
● Length Adjustment:
The length of the Gaussian filter can be customized to control the sensitivity of trend detection. Shorter lengths make the indicator more responsive, while longer lengths offer a smoother, more stable trend line.
● Volatility Calculation Mode:
Traders can select from different modes (AVG, MEDIAN, MODE) to calculate the Gaussian filter, allowing for flexibility in how trends are detected and analyzed.
● Retest Signals Toggle:
Enable or disable the retest signals based on your trading strategy. This toggle allows traders to choose whether they want these additional signals to appear on the chart, providing more control over the information displayed during their analysis.
⮁ CONCLUSION
The Volatility Gaussian Bands indicator is a versatile and powerful tool for traders focused on trend and volatility analysis. By combining Gaussian-filtered trend lines with dynamic volatility bands, trend strength gauges, and rapid trend change indicators, this tool provides a comprehensive view of market conditions. Whether you are following established trends or looking to catch early reversals, the Volatility Gaussian Bands offers the precision and adaptability needed to enhance your trading strategy.
RSI Fakeout Filter with SMA Confirmation [CHE] Introducing: RSI Fakeout Detection
Are you tired of being caught in fakeouts that can lead to frustrating losses? The RSI Fakeout Detection is here to enhance your trading strategy by filtering out false signals and providing you with more reliable entries. This innovative indicator is designed to help traders identify when market momentum, as indicated by the RSI, does not align with price movement – a key indicator of potential fakeouts!
What Does It Do?
The RSI Fakeout Detection focuses on one key goal: avoiding false signals. By monitoring when the RSI exceeds a customizable threshold (indicating strength) but the price remains below a moving average like the SMA, this indicator highlights situations where the market may seem strong, but the price action doesn't support that momentum. In other words, it saves you from those tricky fake breakouts.
Key Benefits:
1. Reduce Risk, Increase Confidence: Get an extra layer of protection against fakeouts by receiving signals only when both RSI and price confirm the market's true direction. Avoid entering false breakouts and trade with more confidence.
2. Dynamic Analysis of SMA Lengths: It doesn’t just rely on one SMA. The indicator automatically analyzes and sorts through different SMA lengths to find the most reliable one for your specific market condition, ensuring that you get the best possible signal.
3. Tailored for You: With customizable RSI thresholds, a choice of multiple moving average types (SMA, EMA, Bollinger Bands, and more), and vibrant color-coded visuals, this tool is built to fit your unique trading style and preferences.
4. Spot Fakeouts with Ease: Visual cues make it easy to see when the market might be tricking you. Labels, plotted lines, and a toggleable disclaimer keep everything transparent and easy to understand.
5. Friendly and Intuitive: Whether you’re new to trading or a seasoned pro, the RSI Fakeout Detection is designed to be simple and effective. The labels and plots are clear, the alerts are timely, and it seamlessly integrates into your chart without cluttering it.
Why Choose RSI Fakeout Detection?
- Accuracy and Precision: By combining RSI and SMA analysis, this indicator minimizes the risk of following false trends and entering trades too early.
- Save Time and Reduce Guesswork: No more spending hours trying to figure out which SMA length works best – the RSI Fakeout Detection does it for you!
- Peace of Mind: Avoiding fakeouts means fewer bad trades, which can lead to more consistent performance and less stress.
Transform the way you trade, and step into a more confident trading future with RSI Fakeout Detection . Whether you’re day trading or swing trading, this tool will give you an edge by helping you filter out the noise and make more informed decisions.
Best regards,
Chervolino
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Realized Price Profit/Loss Margin [VWAP Optimized]Shaded Profit/Loss Margin Oscillator
The Shaded Profit/Loss Margin Oscillator is a powerful tool designed to measure Bitcoin’s Net Unrealized Profit/Loss (NUPL). This metric reflects the difference between Bitcoin’s current market price and its realized price, which approximates the price at which coins were last moved. By smoothing the NUPL using a moving average, the indicator provides a clean purple oscillator line that helps users easily gauge market sentiment. When the oscillator is above the zero line, the market is in profit, and when it is below zero, participants are generally in a state of unrealized loss. The shaded area between the oscillator and the zero line enhances visual clarity, making it easier to identify potential shifts in market behavior such as profit-taking or capitulation.
Unique Features and Added Value
What sets this indicator apart from traditional NUPL indicators is the use of a volume-weighted average price (VWAP) as a proxy for the realized price. Unlike the original on-chain NUPL metric, which relies on complex on-chain data, this indicator leverages VWAP to provide an approximation of realized price based solely on price and volume data available directly on TradingView. This method makes it highly accessible to traders who don’t have access to on-chain data platforms.
The use of VWAP not only simplifies the calculation but also provides additional value, as it incorporates volume into the realized price estimation. This volume-sensitive approach may offer a more responsive and dynamic reflection of realized prices compared to on-chain models, which can sometimes lag. In essence, this VWAP-based NUPL oscillator offers a unique edge in tracking profit/loss margins, particularly for traders who want a straightforward and efficient way to gauge sentiment without relying on external on-chain data sources. It brings the essence of NUPL into the world of technical analysis in an accessible and actionable way.
Liquidity VisualizerThe "Liquidity Visualizer" indicator is designed to help traders visualize potential areas of liquidity on a price chart. In trading, liquidity often accumulates around key levels where market participants have placed their stop orders or pending orders. These levels are commonly found at significant highs and lows, where traders tend to set their stop-losses or take-profit orders. The indicator aims to highlight these areas by drawing unbroken lines that extend indefinitely until breached by the price action.
Specifically, this indicator identifies and marks pivot highs and pivot lows, which are price levels where a trend changes direction. When a pivot high or pivot low is formed, it is represented on the chart with a horizontal line that continues to extend until the price touches or surpasses that level. The line remains in place as long as the level remains unbroken, which means there is potential liquidity still resting at that level.
The concept behind this indicator is that liquidity is likely to be resting at unbroken pivot points. These levels are areas where stop-loss orders or pending buy/sell orders may have accumulated, making them attractive zones for large market participants, such as institutions, to target. By visualizing these unbroken levels, traders can gain insight into where liquidity might be concentrated and where potential price reversals or significant movements could occur as liquidity is taken out.
The indicator helps traders make more informed decisions by showing them key price levels that may attract significant market activity. For instance, if a trader sees multiple unbroken pivot high lines above the current price, they might infer that there is a cluster of liquidity in that area, which could lead to a price spike as those levels are breached. Similarly, unbroken pivot lows may indicate areas where downside liquidity is concentrated.
In summary, this indicator acts as a "liquidity visualizer," providing traders with a clear, visual representation of potential liquidity resting at significant pivot points. This information can be valuable for understanding where price might be drawn to, and where large movements might occur as liquidity is targeted and removed by market participants.
EMA Distance Scanner with Multi-TimeframesThis indicator was created for personal use because I wanted to see, within the five-minute time frame, what is happening with the 15-minute, 1 hour, and 4 hour EMA9 and EMA200.
When the number is green, we are above the EMA value, and when it is red, we are below it. This also helps to get a clearer picture of the short- and long-term trends. When the number is close, within 0.00-0.01%, it turns blue, indicating a potential support level. You can also change the EMA values to your preference in the settings.
Hopefully, this will be helpful for you as well.
Multi-Assets Monthly/Weekly/Daily/ Rate Multi-Assets Rate Indicator
This indicator provides a comprehensive view of performance across multiple asset classes, including Forex pairs, Indices, Commodities, and Cryptocurrencies. It offers the following features:
1. Asset Type Selection: Users can choose between "FOREX" and "Other Assets" to view different sets of instruments.
2. Timeframe Flexibility: Performance can be analyzed on Weekly, Daily, or Monthly timeframes.
3. Performance Metrics:
- Current Period Performance: Percentage change in the selected timeframe.
- Previous Period Performance: Percentage change in the previous period.
- Rate of Change: Difference between current and previous period performances.
4. Visual Representation: Results are displayed in a color-coded table for easy interpretation.
- Green indicates positive performance
- Red indicates negative performance
5. Customizable Symbols: Users can input their preferred symbols for each category.
6. Categorized View: When "Other Assets" is selected, the table is organized into Indices, Commodities, and Cryptocurrencies for better clarity.
This indicator is designed to help traders and investors quickly assess and compare performance across various financial instruments and asset classes. It's particularly useful for identifying trends, comparing relative strengths, and making informed decisions based on multi-timeframe analysis.
Note: This indicator relies on data provided by TradingView. Ensure that you have access to the required data feeds for accurate results.
Disclaimer: This indicator is for informational purposes only and should not be considered as financial advice. Always conduct your own research and consider your financial situation before making investment decisions.
VKPEDIA Trading ZoneDesigned with the help of Traders and with inspiration from the ICT Everything indicator by coldbrewrosh, the purpose of this script is to identify Potential "Trade Entry Zone" while also storing their highs and lows for future reference, until traded through.
There are One session whose times and labels can all be changed to one's liking. Some prefer slight alterations to traditional ICT Killzones, or use different time windows altogether. Either way, the session are fully customizable. The sessions will auto fit to keep track of the highs and lows made during their respective times, and these pivots will be extended until they are invalidated.
What can you learn and understand from this indicator is
1. You can clearly see where high potential trade and reversal of the market are happening and this general sessions are included with london and new york session are refered as "TEZ".
2. Once you apply this indicator on your chart High and low are automatically mentioned in charts for your future reference.
Given the amount of interest I've received about this indicator, I intend to leave it open to suggestions for further improvements. Let me know what you think & what you want to see added
lib_setLibrary "lib_set"
This is a convenience lib that bundles different setter functions allowing to update all coordinates and of line/box in one call, and coordinates and text for label.
method set_xy_text(this, x, y, txt, tooltip)
Updates a label object with new data (equals redrawing it)
Namespace types: series label
Parameters:
this (label)
x (int) : reassigns the x coordinate, optional param, no effect if x = na (same as draw(extend_only = true) for Line objects). Avoiding to reassign x can prevent errors for invalid params passed to set_x***
y (float) : reassigns the y coordinate
txt (string) : reassigns the label text
tooltip (string) : reassigns the label tooltip
method set_xy1_xy2(this, x1, y1, x2, y2)
Updates a line object with new data (equals redrawing it)
Namespace types: series line
Parameters:
this (line)
x1 (int) : reassigns the x1 coordinate, optional param, no effect if x1 = na (same as draw(extend_only = true) for Line objects). Avoiding to reassign x1 can prevent errors for invalid params passed to set_x***
y1 (float) : reassigns the y1 coordinate
x2 (int) : reassigns the x2 coordinate
y2 (float) : reassigns the y2 coordinate
method set_left_top_right_bottom(this, left, top, right, bottom)
Updates a box object with new data (equals redrawing it)
Namespace types: series box
Parameters:
this (box)
left (int) : reassigns the left coordinate, optional param, no effect if left = na (same as draw(extend_only = true) for Box objects). Avoiding to reassign 'left' can prevent errors for invalid params passed to set_x***
top (float) : reassigns the top coordinate
right (int) : reassigns the right coordinate
bottom (float) : reassigns the bottom coordinate
Divergence Indicator Multi [TradingFinder] MACD AO RSI DIV Chart🔵 Introduction
🟣 What is Divergence in Financial Markets?
Divergence in technical analysis happens when the price of a stock moves in a direction opposite to certain indicators. This is a crucial concept in financial markets as it can signal either a trend reversal or a continuation of the current correction in the trend. Understanding divergence helps traders and analysts make more informed decisions.
🟣 Positive Regular Divergence (RD+)
A positive regular divergence occurs at the end of a downtrend, where two price lows form. This divergence appears when the price chart shows a new low, but the indicator does not follow, signaling potential buying opportunities.
Positive divergence indicates increased buying pressure and reduced selling pressure, making it a useful signal for forecasting price increases.
🟣 Negative Regular Divergence (RD-)
A negative regular divergence is seen during an uptrend when two price highs form. The price chart records a new high, but the indicator does not reflect this change, suggesting that a market downturn is likely.
This type of divergence shows strong selling pressure and weaker buying activity, which can help identify selling opportunities.
Both positive and negative divergences are powerful tools for identifying potential trend reversals and key support and resistance levels. For example, when an indicator trends upward while the price moves downward, this creates divergence, warning traders to reconsider their investment strategy.
🟣 Different Types of Divergence in Trading
1. Regular Divergence :
o Positive Regular Divergence (RD+)
o Negative Regular Divergence (RD-)
2. Hidden Divergence :
o Positive Hidden Divergence (HD+)
o Negative Hidden Divergence (HD-)
3.Time Divergence.
Note : This guide focuses specifically on Regular Divergence.
🟣 What is Regular Divergence?
Regular Divergence, often referred to as convergence, occurs when price action and indicators show conflicting patterns, usually signaling the end of a trend. Detecting regular divergence helps traders anticipate potential trend reversals or the formation of reversal patterns.
🔵 How to Use
To optimize the detection of divergence, you can adjust the Fractal Period to specify the length of time for identifying divergence patterns.
Additionally, with the Divergence Detection Method, you can select oscillators like the MACD, RSI, or AO to base divergence detection on.
Divergence in MACD :
MACD divergence occurs when the price chart forms an opposite pattern compared to the MACD line, indicating a potential price reversal.
Divergence in RSI :
In a downtrend, if the price chart forms two consecutive lows with the second lower than the first, but the RSI shows two lows with the second higher, this indicates positive regular divergence, which is a buy signal.
On the other hand, during an uptrend, if the price forms two highs with the second higher than the first, but the RSI shows the second high lower, this points to negative regular divergence, indicating a sell signal.
Divergence in AO (Awesome Oscillator) :
The AO indicator calculates histograms using the difference between 5-period and 34-period simple moving averages. It compares peaks and troughs of these histograms with price movements, detecting divergence and plotting lines and arrows to signal divergence.
🔵 Table
The following table breaks down the main features of the oscillator. It covers four critical categories: Exist, Consecutive, Divergence Quality, and Change Phase Indicator.
Exist : If divergence is detected, a "+" will appear in this row.
Consecutive: Shows the number of consecutive divergences that have formed in a short period.
Divergence Quality : Evaluates the quality of the divergence based on the number of occurrences. One is labeled "Normal," two are "Good," and three or more are considered "Strong."
Change Phase Indicator : If a phase change is detected between two oscillation peaks, this is marked in the table.
Straddle Indicator - Padding GuideThe Straddle Indicator is designed to help traders visualize potential market movements by straddling the current price. This indicator draws two horizontal lines on the chart: one positioned above and one below the current price, based on user-defined offsets.
Key Features:
Dynamic Price Levels: The levels are calculated based on the current closing price, allowing the indicator to adapt to changing market conditions in real time.
Customizable Offsets: Traders can customize the offsets for the lines above and below the current price, providing flexibility to align with their trading strategies or market analysis.
Visual Clarity: The indicator displays the price levels as horizontal lines in distinct colors (green for above and red for below) along with corresponding labels showing the exact price levels, facilitating quick reference.
Current Bar Focus: The lines and labels are updated to only reflect the current bar, minimizing chart clutter and making it easy to focus on the most relevant price action.
This indicator is particularly useful for traders employing straddle strategies, as it helps to anticipate potential price movements and plan entries or exits accordingly.
RSI & Volume Impact Analyzer Ver.1.00Description:
The RSI VOL Score indicator combines the Relative Strength Index (RSI) and volume data through a mathematical calculation to assist traders in identifying and confirming potential trend reversals and continuations. By leveraging both momentum (RSI) and volume data, this indicator provides a more comprehensive view of market strength compared to using RSI or volume alone.
How It Works:
This indicator calculates a score by comparing the RSI against its moving average, adjusted by the volume data. The resulting score quantifies market momentum and strength. When the score crosses its signal line, it may indicate key moments where the market shifts between bullish and bearish trends, potentially helping traders spot these changes earlier.
Calculation Methods:
The RSI VOL Score allows users to select between several calculation methods to suit their strategy:
SMA (Simple Moving Average): Provides a balanced smoothing approach.
EMA (Exponential Moving Average): Reacts more quickly to recent price changes, offering faster signals.
VWMA (Volume Weighted Moving Average): Emphasizes high-volume periods, focusing on stronger market moves.
WMA (Weighted Moving Average): Applies greater weight to recent data for a more responsive signal.
What the Indicator Plots:
Score Line: Represents a combined metric based on RSI and volume, helping traders gauge the overall strength of the trend.
Signal Line: A smoothed version of the score that helps traders identify potential trend changes. Bullish signals occur when the score crosses above the signal line, while bearish signals occur when the score drops below.
Key Features:
Trend Identification: The score and signal line crossovers can help confirm emerging bullish or bearish trends, allowing traders to act on upward or downward momentum.
Customizable Settings: Traders can adjust the lengths of the RSI and signal line and choose between different moving averages (SMA, EMA, VWMA, WMA) to tailor the indicator to their trading style.
Timeframe-Specific: The indicator works within the selected timeframe, ensuring accurate trend analysis based on the current market context.
Practical Use Cases:
Trending Markets: In trending markets, this indicator helps confirm bullish or bearish signals by validating price moves with volume. Traders can use the crossover of the score and signal line as a guide for entering or exiting trades based on trend strength.
Ranging Markets: In ranging markets, the indicator helps filter out false signals by confirming if price movements are backed by volume, making it a useful tool for traders looking to avoid entering during weak or uncertain market conditions.
Interpreting the Score and Signal Lines:
Bullish Signal: A bullish signal occurs when the score crosses above the signal line, indicating a potential upward trend in momentum and price.
Bearish Signal: A bearish signal is generated when the score crosses below the signal line, suggesting a potential downward trend or weakening market momentum.
By mathematically combining RSI and volume data into a single trend score, the RSI VOL Score indicator provides traders with a powerful tool for identifying trend shifts early and making more confident trading decisions.
Important Note:
The signals generated by this indicator should be interpreted in conjunction with other analysis tools. It is always advisable to confirm signals before making any trading decisions.
Disclaimer:
This indicator is designed to assist traders in their decision-making process and does not provide financial advice. The creators of this tool are not responsible for any financial losses or trading decisions made based on its signals. Trading involves significant risk, and users should seek professional advice or conduct their own research before making any trading decisions.
Simple RSI stock Strategy [1D] The "Simple RSI Stock Strategy " is designed to long-term traders. Strategy uses a daily time frame to capitalize on signals generated by the Relative Strength Index (RSI) and the Simple Moving Average (SMA). This strategy is suitable for low-leverage trading environments and focuses on identifying potential buy opportunities when the market is oversold, while incorporating strong risk management with both dynamic and static Stop Loss mechanisms.
This strategy is recommended for use with a relatively small amount of capital and is best applied by diversifying across multiple stocks in a strong uptrend, particularly in the S&P 500 stock market. It is specifically designed for equities, and may not perform well in other markets such as commodities, forex, or cryptocurrencies, where different market dynamics and volatility patterns apply.
Indicators Used in the Strategy:
1. RSI (Relative Strength Index):
- The RSI is a momentum oscillator used to identify overbought and oversold conditions in the market.
- This strategy enters long positions when the RSI drops below the oversold level (default: 30), indicating a potential buying opportunity.
- It focuses on oversold conditions but uses a filter (SMA 200) to ensure trades are only made in the context of an overall uptrend.
2. SMA 200 (Simple Moving Average):
- The 200-period SMA serves as a trend filter, ensuring that trades are only executed when the price is above the SMA, signaling a bullish market.
- This filter helps to avoid entering trades in a downtrend, thereby reducing the risk of holding positions in a declining market.
3. ATR (Average True Range):
- The ATR is used to measure market volatility and is instrumental in setting the Stop Loss.
- By multiplying the ATR value by a custom multiplier (default: 1.5), the strategy dynamically adjusts the Stop Loss level based on market volatility, allowing for flexibility in risk management.
How the Strategy Works:
Entry Signals:
The strategy opens long positions when RSI indicates that the market is oversold (below 30), and the price is above the 200-period SMA. This ensures that the strategy buys into potential market bottoms within the context of a long-term uptrend.
Take Profit Levels:
The strategy defines three distinct Take Profit (TP) levels:
TP 1: A 5% from the entry price.
TP 2: A 10% from the entry price.
TP 3: A 15% from the entry price.
As each TP level is reached, the strategy closes portions of the position to secure profits: 33% of the position is closed at TP 1, 66% at TP 2, and 100% at TP 3.
Visualizing Target Points:
The strategy provides visual feedback by plotting plotshapes at each Take Profit level (TP 1, TP 2, TP 3). This allows traders to easily see the target profit levels on the chart, making it easier to monitor and manage positions as they approach key profit-taking areas.
Stop Loss Mechanism:
The strategy uses a dual Stop Loss system to effectively manage risk:
ATR Trailing Stop: This dynamic Stop Loss adjusts based on the ATR value and trails the price as the position moves in the trader’s favor. If a price reversal occurs and the market begins to trend downward, the trailing stop closes the position, locking in gains or minimizing losses.
Basic Stop Loss: Additionally, a fixed Stop Loss is set at 25%, limiting potential losses. This basic Stop Loss serves as a safeguard, automatically closing the position if the price drops 25% from the entry point. This higher Stop Loss is designed specifically for low-leverage trading, allowing more room for market fluctuations without prematurely closing positions.
to determine the level of stop loss and target point I used a piece of code by RafaelZioni, here is the script from which a piece of code was taken
Together, these mechanisms ensure that the strategy dynamically manages risk while offering robust protection against significant losses in case of sharp market downturns.
The position size has been estimated by me at 75% of the total capital. For optimal capital allocation, a recommended value based on the Kelly Criterion, which is calculated to be 59.13% of the total capital per trade, can also be considered.
Enjoy !
Follow LineFollow Line is a common MT4 FX indicator based on trend following.
The main idea behind the calculation is volatility:
-Indicator Line increases as price goes above Bollinger Bands but with 1 standard deviation.
-Likewise when price moves below the lower Bollinger Band with 1 Standard deviation, Follow -Line decreases down.
-As you can imagine, indicator stays as a flat line when price moves between the bands.
There are two critical settings about the indicator:
1- Bollinger Bands Deviation is set to 1 as default but if you want to have early signals you have to decrease that amount. Also you'd better increase that to have flat values on sideways market conditions for not getting chopped by the early but false signals.
2- ATR Filter is activated in default settings and the indicator follows the trend with a distance from Highs and Lows considering ATR (default length 5) values. If you turn off the ATR filter, the indicator line only takes into account the Highs and the Lows. Indicator will get more agile but the risk of choppy signals can be taken that time. I personally advise you to increase the Bollinger Band Deviation from 1 to between 1.5-2 to stabilize the fake signals when ATR filter is turned off.
Signals can be shown on the graph:
BUY: when Follow Line changes direction from red to blue.(which means Price is above Bollinger Upper Band with 1 standard deviation)
SELL: when Follow Line changes direction from blue to red. (which means Price moves below Bollinger Lower Band with 1 standard deviation)
Finally, some of you may know there are also several Follow Line indicators on TradingView but unfortunately they don't show the same exact values (close but not same) comparing with original version of MT4 and the Metastock version that I've coded recently. So, I shared this stuff to have the exact same values on graphs on all platforms.
Flat Tops/Bottoms aka Devil's MarkThis Pine script indicator is designed to visually depict price inefficiencies, as identified by Flat Top/Bottom Candles (aka Devil's Mark). A Flat Top/Bottom Candle is a scenario where there is an absence of a wick at the top or the bottom of the candle. These represent zones of inefficiency and will frequently act as magnets for price that the market will strive to rebalance in accordance with ICT principles.
Relevance:
Flat Top/Bottom Candles are zones where price delivery didn't provide opportunity for manipulation representing an inefficiency that the market will seek to rebalance. Consequently, these zones can provide good targets for entries in the opposite direction or take profit targets for previous entries in the direction of the Flat Top/Bottom Candle.
How It Works:
The indicator keeps track of all Flat Top/Bottom Candles from the beginning of the available history. It automatically removes all mitigated Flat Top/Bottom Candles, which are situations where the price has gone past the candle without a wick.
Configurability:
You can configure the colors, style & width of the lines used to represent flat top/bottom candles.
What makes this indicator different:
Designed with high performance in mind, to reduce impact on chart render time.
Only keeping the currently valid flat top/bottoms on the chart.
CAPE / Shiller PE RatioThe CAPE (Cyclically Adjusted Price-to-Earnings) or Shiller PE ratio is a popular valuation measure used by investors to assess whether a stock or index is over or undervalued relative to its historical earnings. Unlike the traditional P/E ratio, the CAPE ratio smooths earnings over ten years, adjusting for inflation and providing a more stable and long-term view of valuation.
This indicator lets you quickly calculate and visualize the CAPE ratio for any stock on TradingView, helping you make informed decisions about the sustainability of current price levels. With its clear presentation and intuitive setup, you can compare historical CAPE levels and identify potential opportunities for long-term investments or avoid overvalued markets.
Advantages of the CAPE Ratio:
Long-Term Focus : Smooth earnings over ten years, reducing the impact of short-term volatility.
Inflation-Adjusted : Provides a more precise, inflation-adjusted valuation measure over time.
Historical Comparison : Allows for benchmarking against long-term historical averages.
Market Sentiment Indicator : Can highlight overvalued or undervalued markets for long-term investors.
Reduces Noise : Filters out short-term earnings fluctuations, offering a more stable view.
Disadvantages of the CAPE Ratio:
Ignores Recent Earnings : Misses short-term earnings changes, which can affect current valuations.
Outdated Data : Relies on old earnings data that may not reflect recent company performance.
Less Effective for Growth Stocks : May undervalue high-growth stocks focused on future earnings.
Sector Limitations : Works best for broad markets, less so for fast-changing industries.
Debated Predictive Power : It’s unreliable for timing short-term market movements.
In short, the CAPE ratio is excellent for long-term valuation but has limitations for short-term or growth-focused investing.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
Vertical Lines & Price RangeThis Pine Script indicator visually marks significant historical price points on the chart by drawing vertical lines at intervals of 6 months, 3 months, and 1 month ago. Each vertical line is accompanied by a label indicating the time frame (6M, 3M, 1M). Additionally, it calculates and displays the percentage change between the closing prices at 6 months ago and 3 months ago, as well as between 3 months ago and 1 month ago, using horizontal lines to connect these price points. This tool is useful for analyzing trends and price movements over time, providing traders with a clear visual representation of historical performance.
Dynamic Darvas Lines [CHE] Dynamic Darvas Lines
Unlock Precision Trading with Dynamic Darvas Lines
Overview:
Dynamic Darvas Lines is an advanced trading indicator designed for traders seeking to enhance their market analysis and decision-making process. Building upon the classic Darvas Box theory, this indicator introduces dynamic zone detection and comprehensive customization features, making it an indispensable tool for both novice and experienced traders.
Key Features & Advantages:
1. Dynamic Zone Detection:
- Adaptive Boxes: Automatically identifies and adjusts support and resistance levels based on market volatility and price movements, ensuring that the indicator remains relevant in varying market conditions.
- Real-Time Updates: Continuously recalculates box boundaries, providing up-to-the-minute insights into potential breakout or reversal points.
2. Enhanced Signal Accuracy:
- Buy & Sell Signals: Generates clear and actionable buy and sell signals based on the crossover and crossunder of price with dynamic Darvas lines, helping traders capitalize on optimal entry and exit points.
- Signal Confirmation: Reduces false signals by requiring confirmation through multiple conditions, enhancing overall trade reliability.
3. Comprehensive Customization:
- Adjustable Parameters: Tailor the indicator to your specific trading style with customizable box length, signal colors, and plot shapes.
- Color Management: Differentiate between various market signals with intuitive color coding for buy/sell signals, box boundaries, and debug lines, enhancing visual clarity on your charts.
4. Advanced Visualization:
- Signal Circles: Visual markers highlight significant price levels where buy and sell signals are triggered, making it easier to spot opportunities at a glance.
- Debug Mode: Activate debug lines to display the lowest lows and highest highs within the defined box length, aiding in in-depth market analysis and strategy refinement.
5. Robust Alert System:
- Custom Alerts: Set up real-time alerts for buy and sell signals, ensuring you never miss critical trading opportunities even when you're away from your screen.
- Automated Notifications: Receive instant notifications directly through your trading platform, keeping you informed and ready to act.
6. Seamless Integration:
- Overlay Capability: Easily integrates with your existing charts, allowing you to combine Dynamic Darvas Lines with other technical indicators for a more comprehensive market view.
- Optimized Performance: Efficiently coded in Pine Script V5, ensuring smooth performance without lag, even on lower-end devices.
Use Cases:
- Trend Identification: Detect and follow market trends by observing the formation and breakout of dynamic Darvas boxes, helping you stay aligned with the market’s momentum.
- Breakout Trading: Capitalize on significant price movements when the price breaks out of established Darvas zones, indicating potential strong directional moves.
- Reversal Detection: Identify potential market reversals by monitoring when the price crosses under the lower Darvas line or above the upper Darvas line, signaling a change in market sentiment.
- Risk Management: Utilize the indicator’s clear support and resistance levels to set strategic stop-loss and take-profit points, enhancing your risk-reward ratio.
- Market Analysis: Combine with other technical tools and indicators to perform comprehensive market analysis, improving the accuracy of your trading strategies.
Why Choose Dynamic Darvas Lines ?
Dynamic Darvas Lines stands out with its blend of traditional Darvas Box principles and modern enhancements. Its dynamic nature ensures adaptability across different market conditions, while the extensive customization options provide traders with the flexibility to tailor the indicator to their unique trading strategies. Whether you’re aiming to identify trends, execute breakout trades, or manage risks more effectively, Dynamic Darvas Lines offers the precision and reliability you need to elevate your trading game.
Get Started Today:
Enhance your trading toolkit with Dynamic Darvas Lines and experience the difference in your market analysis and trading performance. Download now and take the first step towards more informed and strategic trading decisions!
Note: Always backtest any trading indicator and use it in conjunction with other analysis tools to develop a robust trading strategy. Trading involves risk, and it's essential to practice sound risk management.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Business Cycle Indicators (Normalized)This script aggregates and normalizes several key economic indicators to provide a comprehensive view of the business cycle and overall market conditions. By combining these indicators into a single, normalized average line, the script helps identify overarching trends and shifts in the economy, aiding in more informed trading and investment decisions.
Included Indicators:
Inverted National Financial Conditions Index (NFCI):
Symbol: FRED:NFCI
Measures financial stress in the markets. An inverted NFCI aligns higher values with positive financial conditions.
Inverted Net Percentage of Banks Tightening Lending Standards (DRTSCIS):
Symbol: FRED:DRTSCIS
Reflects changes in bank lending practices. Inverting this indicator means higher values indicate easing lending standards, which is generally positive for economic growth.
HYG Close Price (iShares High Yield Corporate Bond ETF):
Symbol: AMEX:HYG
Represents the performance of high-yield corporate bonds, providing insight into credit market conditions.
Inverted High-Yield Credit Spread (BAMLH0A0HYM2):
Symbol: FRED:BAMLH0A0HYM2
Measures the spread between high-yield bonds and risk-free securities. A narrower (inverted) spread indicates better market conditions.
Manufacturing/Non-Manufacturing New Orders Ratio:
Symbols: ECONOMICS:USMNO (Manufacturing), ECONOMICS:USNMNO (Non-Manufacturing)
Compares manufacturing to non-manufacturing new orders to gauge shifts in economic activity.
US PMI (Purchasing Managers' Index):
Symbol: ECONOMICS:USBCOI
An indicator of the economic health of the manufacturing sector.
10-Year Inflation Breakeven (T10YIE):
Symbol: FRED:T10YIE
Represents market expectations of inflation over the next ten years.
Inverted 10-Year Real Yield (DFII10):
Symbol: FRED:DFII10
Reflects the real yield on 10-year Treasury Inflation-Protected Securities (TIPS). Inverted to align higher values with positive economic sentiment.
Copper/Gold Ratio:
Symbols: CAPITALCOM:COPPER (Copper), TVC:GOLD (Gold)
Compares the prices of copper and gold, often used as a barometer for global economic activity.
Features:
Normalized Indicators: Each indicator is normalized to a 0-100 scale to facilitate direct comparison, regardless of their original units or scales.
Normalized Average Line: Calculates and plots the average of all available normalized indicators, providing a single line that represents the combined economic signals.
Customizable Display:
Show Individual Indicators: Option to display individual normalized indicators for detailed analysis.
Show Normalized Average Line: Option to display the normalized average line for a consolidated view.
Dynamic Labeling: Displays the latest value of the normalized average directly on the chart for quick reference.
How to Use:
Adding the Script:
Apply the script to a chart in TradingView using a timeframe that aligns with the frequency of the economic data (daily or weekly recommended).
Customization:
Show Normalized Average Line: Enabled by default to display the combined indicator.
Show Individual Indicators: Enable this option in the script settings to display all individual normalized indicators.
Interpretation:
Normalized Scale (0-100): Higher values generally indicate stronger economic conditions, while lower values may suggest weakening conditions.
Trend Analysis: Use the normalized average line to identify trends and potential turning points in the business cycle.
Notes:
Data Availability: Ensure you have access to all the data sources used in the script. Some data feeds may require specific TradingView subscriptions.
Indicator Limitations: Economic indicators are subject to revisions and may not reflect real-time market conditions.
No Investment Advice: This script is a tool for analysis and should not be considered as financial advice. Always conduct your own research before making investment decisions.
PRINT_DROVINGLibrary "PRINT_DROVING"
method print_droving(foot_bar, sup)
printing all footprint objects
Namespace types: footprint_type.Footprint_bar
Parameters:
foot_bar (Footprint_bar type from Alesetup/PRINT_TYPE/1) : instance of Footprint_bar type
sup (Support_objects type from Alesetup/PRINT_TYPE/1) : instance of Support_objects type
Returns: Void.
PRINT_LOGICLibrary "PRINT_LOGIC"
method fill_imba_line(imba_line, foot_bar, sup)
fill imbalance line
Namespace types: footprint_type.Imbalance_line
Parameters:
imba_line (Imbalance_line type from Alesetup/PRINT_TYPE/1) : instance of Imbalance_line type
foot_bar (Footprint_bar type from Alesetup/PRINT_TYPE/1) : instance of Footprint_bar type
sup (Support_objects type from Alesetup/PRINT_TYPE/1) : instance of Support_objects type
Returns: Void
method fill_footprint_type(foot_bar, sup)
Namespace types: footprint_type.Footprint_bar
Parameters:
foot_bar (Footprint_bar type from Alesetup/PRINT_TYPE/1) : instance of Footprint_bar type
sup (Support_objects type from Alesetup/PRINT_TYPE/1) : instance of Support_objects type
Returns: Void
method fill_footprint_object(foot_bar, sup)
fill all footprint objects
Namespace types: footprint_type.Footprint_bar
Parameters:
foot_bar (Footprint_bar type from Alesetup/PRINT_TYPE/1) : instance of Footprint_bar type
sup (Support_objects type from Alesetup/PRINT_TYPE/1) : instance of Support_objects type
Returns: Void
PRINT_TYPELibrary "PRINT_TYPE"
Inputs
Inputs objects
Fields:
inbalance_percent (series int) : percentage coefficient to determine the Imbalance of price levels
stacked_input (series int) : minimum number of consecutive Imbalance levels required to draw extended lines
show_summary_footprint (series bool)
procent_volume_area (series int) : definition size Value area
new_imbalance_cond (series bool) : bool input for setup alert on new imbalance buy and sell
new_imbalance_line_cond (series bool) : bool input for setup alert on new imbalance line buy and sell
stop_past_imbalance_line_cond (series bool) : bool input for setup alert on stop past imbalance line buy and sell
Constants
Constants all Constants objects
Fields:
imbalance_high_char (series string) : char for printing buy imbalance
imbalance_low_char (series string) : char for printing sell imbalance
color_title_sell (series color) : color for footprint sell
color_title_buy (series color) : color for footprint buy
color_line_sell (series color) : color for sell line
color_line_buy (series color) : color for buy line
color_title_none (series color) : color None
Calculation_data
Calculation_data data for calculating
Fields:
detail_open (array) : array open from calculation timeframe
detail_high (array) : array high from calculation timeframe
detail_low (array) : array low from calculation timeframe
detail_close (array) : array close from calculation timeframe
detail_vol (array) : array volume from calculation timeframe
previos_detail_close (array) : array close from calculation timeframe
isBuyVolume (series bool) : attribute previosly bar buy or sell
Footprint_row
Footprint_row objects one footprint row
Fields:
price (series float) : row price
buy_vol (series float) : buy volume
sell_vol (series float) : sell volume
imbalance_buy (series bool) : attribute buy inbalance
imbalance_sell (series bool) : attribute sell imbalance
buy_vol_box (series box) : for ptinting buy volume
sell_vol_box (series box) : for printing sell volume
buy_vp_box (series box) : for ptinting volume profile buy
sell_vp_box (series box) : for ptinting volume profile sell
row_line (series label) : for ptinting row price
empty (series bool) : = true attribute row with zero volume buy and zero volume sell
Imbalance_line_var_object
Imbalance_line_var_object var objects printing and calculation imbalance line
Fields:
cum_buy_line (array) : line array for saving all history buy imbalance line
cum_sell_line (array) : line array for saving all history sell imbalance line
Imbalance_line
Imbalance_line objects printing and calculation imbalance line
Fields:
buy_price_line (array) : float array for saving buy imbalance price level
sell_price_line (array) : float array for saving sell imbalance price level
var_imba_line (Imbalance_line_var_object) : var objects this type
Footprint_bar
Footprint_bar all objects one bar with footprint
Fields:
foot_rows (array) : objects one row footprint
imba_line (Imbalance_line) : objects imbalance line
row_size (series float) : size rows
total_vol (series float) : total volume one footprint bar
foot_buy_vol (series float) : buy volume one footprint bar
foot_sell_vol (series float) : sell volume one footprint bar
foot_max_price_vol (map) : map with one value - price row with max volume buy + sell
calc_data (Calculation_data) : objects with detail data from calculation resolution
Support_objects
Support_objects support object for footprint calculation
Fields:
consts (Constants) : all consts objects
inp (Inputs) : all input objects
bar_index_show_condition (series bool) : calculation bool value for show all objects footprint
row_line_color (series color) : calculation value - color for row price
dop_info (series string)
show_table_cond (series bool)
Weekly Initial BalanceWeekly Initial Balance Indicator
The Weekly Initial Balance (IB) indicator is a powerful tool designed for traders to identify key support and resistance levels based on the market's initial activity at the start of each week. By analyzing the first 30 hours of trading.
Key Features:
Customizable IB Period: Define the start hour and duration of the initial balance period to suit your trading schedule and the specific market you are analyzing, I have it set at 30 hours by default.
IB High, Low, and Midpoint Levels: Automatically plots the high, low, and midpoint of the IB period, providing immediate visual reference to critical price levels.
Extension Levels: Calculate and display extension levels based on customizable percentages (e.g., 50%, 100%, 150%), allowing you to project potential breakout targets and identify areas of interest beyond the initial balance range.
Dynamic Lines and Labels: The indicator updates in real-time, extending lines and repositioning labels as new bars form, ensuring you always have the most current information.
Customizable Appearance: Adjust line styles, widths, colors, and label positions to match your charting preferences and improve visual clarity.
How to Use:
Set the IB Parameters:
Week Start Hour (UTC): Specify the hour when the weekly IB period begins. I use 1800EST as that is when the futures market opens.
IB Duration in Hours: Define how many hours constitute the IB period.
Configure Extension Levels:
Input the desired extension percentages to calculate levels beyond the IB range.
Customize Visual Settings:
Adjust line colors, styles, widths, and label offsets to tailor the indicator's appearance.
Interpret the Levels:
Use the IB high and low as immediate support and resistance levels.
Monitor the midpoint for potential pivot areas.
Watch for price interactions with extension levels to anticipate breakouts or reversals.
Benefits:
Identify Key Weekly Levels: Understand the market's initial sentiment each week to gauge potential trends.
Enhance Trading Strategies: Incorporate the IB levels into your trading plan for better entry and exit points.
Adaptable to Various Markets: Suitable for Forex, commodities, indices, and other markets where weekly analysis is beneficial.
