Crystal Order BlockThe Crystal Order Block Indicator is a powerful tool designed to help traders identify key institutional order blocks with high precision. This indicator is ideal for traders following Smart Money Concepts (SMC) and Institutional Trading Strategies, providing clear insights into potential high-probability trade setups.
🔹 Key Features:
✔ Automatic Order Block Detection: Identifies valid bullish & bearish order blocks.
✔ Unmitigated Order Blocks Highlighted: Focuses on fresh order blocks for improved trade opportunities.
✔ Trend-Focused Trading: Works best when combined with market structure analysis.
✔ Multi-Timeframe Support: Suitable for scalping, swing trading, and intraday trading.
✔ Risk Management Enhancement: Helps traders refine entries and exits based on institutional price movements.
📈 How to Use the Crystal Order Block Indicator:
🔹 Identifying Order Blocks:
➡ The indicator automatically detects order blocks formed by institutional trading activity.
➡ Unmitigated order blocks are highlighted, indicating areas where price may react.
🔹 High-Probability Trade Setups:
➡ Buy Setup: Look for a bullish order block in an uptrend, confirming strength.
➡ Sell Setup: Identify a bearish order block in a downtrend for potential short trades.
🔹 Order Block Mitigation:
➡ The updated version filters out mitigated order blocks, allowing traders to focus on fresh trading opportunities.
📊 Best Practices & Timeframes:
🔸 Works on all timeframes, but higher accuracy is observed on M30 and above.
🔸 Best suited for Smart Money Trading, Institutional Trading, and Price Action Strategies.
🔸 Should be used with liquidity concepts and market structure analysis for enhanced precision.
⚠ Important Note:
This indicator is a technical tool designed to assist traders in market analysis. It does not guarantee success and should be used alongside proper risk management and trading discipline.
อินดิเคเตอร์และกลยุทธ์
TradFi Fundamentals: Enhanced Macroeconomic Momentum Trading Introduction
The "Enhanced Momentum with Advanced Normalization and Smoothing" indicator is a tool that combines traditional price momentum with a broad range of macroeconomic factors. I introduced the basic version from a research paper in my last script. This one leverages not only the price action of a security but also incorporates key economic data—such as GDP, inflation, unemployment, interest rates, consumer confidence, industrial production, and market volatility (VIX)—to create a comprehensive, normalized momentum score.
Previous indicator
Explanation
In plain terms, the indicator calculates a raw momentum value based on the change in price over a defined lookback period. It then normalizes this momentum, along with several economic indicators, using a method chosen by the user (options include simple, exponential, or weighted moving averages, as well as a median absolute deviation (MAD) approach). Each normalized component is assigned a weight reflecting its relative importance, and these weighted values are summed to produce an overall momentum score.
To reduce noise, the combined momentum score can be further smoothed using a user-selected method.
Signals
For generating trade signals, the indicator offers two modes:
Zero Cross Mode: Signals occur when the smoothed momentum line crosses the zero threshold.
Zone Mode: Overbought and oversold boundaries (which are user defined) provide signals when the momentum line crosses these preset limits.
Definition of the Settings
Price Momentum Settings:
Price Momentum Lookback: The number of days used to compute the percentage change in price (default 50 days).
Normalization Period (Price Momentum): The period over which the price momentum is normalized (default 200 days).
Economic Data Settings:
Normalization Period (Economic Data): The period used to normalize all economic indicators (default 200 days).
Normalization Method: Choose among SMA, EMA, WMA, or MAD to standardize both price and economic data. If MAD is chosen, a multiplier factor is applied (default is 1.4826).
Smoothing Options:
Apply Smoothing: A toggle to enable further smoothing of the combined momentum score.
Smoothing Period & Method: Define the period and type (SMA, EMA, or WMA) used to smooth the final momentum score.
Signal Generation Settings:
Signal Mode: Select whether signals are based on a zero-line crossover or by crossing user-defined overbought/oversold (OB/OS) zones.
OB/OS Zones: Define the upper and lower boundaries (default upper zones at 1.0 and 2.0, lower zones at -1.0 and -2.0) for zone-based signals.
Weights:
Each component (price momentum, GDP, inflation, unemployment, interest rates, consumer confidence, industrial production, and VIX) has an associated weight that determines its contribution to the overall score. These can be adjusted to reflect different market views or risk preferences.
Visual Aspects
The indicator plots the smoothed combined momentum score as a continuous blue line against a dotted zero-line reference. If the Zone signal mode is selected, the indicator also displays the upper and lower OB/OS boundaries as horizontal lines (red for overbought and green for oversold). Buy and sell signals are marked by small labels ("B" for buy and "S" for sell) that appear at the bottom or top of the chart when the score crosses the defined thresholds, allowing traders to quickly identify potential entry or exit points.
Conclusion
This enhanced indicator provides traders with a robust approach to momentum trading by integrating traditional price-based signals with a suite of macroeconomic indicators. Its normalization and smoothing techniques help reduce noise and mitigate the effects of outliers, while the flexible signal generation modes offer multiple ways to interpret market conditions. Overall, this tool is designed to deliver a more nuanced perspective on market momentum.
Market Structure [ActiveQuants]The Market Structure indicator is a powerful tool designed to help traders identify key market structure shifts and change of character (CHoCH) points. By plotting swing highs, swing lows, and structural breaks , this indicator allows traders to track price action dynamics, improving trade execution and strategy development.
█ KEY FEATURES
Market Structure Visualization : Automatically detects and plots pivot highs and pivot lows , highlighting structural points on the chart.
Change of Character (CHoCH) Detection : Identifies bullish and bearish CHoCH events, marking key shifts in market sentiment.
Customizable Sensitivity : Adjust the pivot sensitivity to fine-tune market structure identification based on different trading styles and timeframes.
Dynamic Labeling & Line Management : Automatically removes old lines and labels to keep the chart clean and focused on recent price action.
User-Defined Display Options : Customize the colors, visibility, and number of bars shown to match your personal trading preferences.
█ CONCLUSION
The Market Structure & CHoCH Indicator is an essential tool for traders who rely on price action and structure-based strategies. By visually mapping key swing points and structure shifts , it enhances decision-making, helping traders align with the market trend and spot potential reversals.
█ IMPORTANT
⚠ CHoCH signals should be used in conjunction with other confluences such as supply & demand zones, order flow, or trend confirmation.
⚠ Adjust pivot sensitivity based on your preferred timeframe and asset class to optimize accuracy.
Incorporate this indicator into your trading workflow to enhance market structure analysis and refine entry & exit strategies .
📈 Happy trading! 🚀
Daily & Weekly False-Breakout DetectorDaily & Weekly Lines
We retrieve previous day/week’s High and Low.
lookahead=barmerge.lookahead_on means we see the “final” daily/weekly bar values intraday, so it may repaint in real‐time.
False Breakout Logic
Intraday crosses of close above the previous high (PDH or PWH).
By the end of the daily/weekly bar, close is back below that high.
Similarly for false breakdowns below PDL or PWL.
Shape/Alert
Each time an intraday bar crosses up or down, if the final daily/weekly close reverts back inside the prior range, a label is drawn and an alert is triggered.
Because we are “peeking” at the daily/weekly close, these signals can appear or disappear in real‐time.
If you only want a confirmed signal after the period’s close, switch to lookahead_off, which will finalize them at the next day or next week.
Bitcoin Power Law: Complete with Oscillator + Future Projection
Firstly, we would like to give credit to @apsk32 and @x_X_77_X_x as part of the code originates from their work. Additionally, @apsk32 is widely credited with applying the Power Law concept to Bitcoin and popularizing this model within the crypto community. Additionally, the visual layout is fully inspired by @apsk32's designs, and we think it looks amazing. So much so that we had to turn it into a TradingView script. Thank you!
Understanding the Bitcoin Power Law Model
Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship.
By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges.
In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term.
The Bitcoin Power Law has the following function:
Power Law = 10^(a + b * log10(d))
Consisting of the following parameters:
a: Power Law Intercept (default: -17.668).
b: Power Law Slope (default: 5.926).
d: Number of days since a reference point(calculated by counting bars from the reference point with an offset).
Explanation of the a and b parameters:
Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post.
Applying vertical shifts to generate the other lines:
Once the initial power-law is created, additional lines are generated by applying a vertical shift . This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept.
In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest):
Base Power Law Line (no shift)
1-year shifted line
2-year shifted line
3-year shifted line
4-year shifted line
5-year shifted line
The six power law lines:
Bitcoin Power Law Oscillator
This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula:
normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line)
Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines. The Oscillator version can be found here .
Interpretation of the Bitcoin Power Law Model:
The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.).
By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame.
On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines.
In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples:
Example 1:
In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support (Note: Vertical yearly grid lines have been added for this purpose👍).
Example 2:
In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point C, now aligning with the Base Power Law Line.
Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe :
Example 3:
In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
Wickless Candle Indicator with Extended Lines (final)This Pine Script indicator identifies “wickless” candles—those with no upper wick (when the close equals the high) or no lower wick (when the open equals the low)—and marks these events on the chart. When such a candle is detected, it:
Records the Level and Bar Index:
Saves the price level (high for wickless tops, low for wickless bottoms) and the bar index where the condition occurred.
Draws an Extended Horizontal Line:
Creates a green horizontal line for a wickless top or a red line for a wickless bottom, starting at the detection bar and extending across subsequent bars as long as the price remains below (for tops) or above (for bottoms) the recorded level.
Resets When the Price Breaks the Level:
If a future bar’s price moves beyond the saved level (i.e., a high above a wickless top or a low below a wickless bottom), the indicator resets that level, ending the extension of the line.
Visual Markers:
Additionally, it plots a small triangle above a wickless top and below a wickless bottom for easy identification on the chart.
Overall, this script helps traders visualize potential support or resistance levels created by candles that close at their highs or open at their lows, with lines that dynamically adjust as price evolves.
RSI with Bollinger Bands and Buy/Sell SignalsPurpose:
This indicator combines the Relative Strength Index (RSI) with Bollinger Bands to identify overbought and oversold conditions in the market. It also generates buy and sell signals based on the interaction between the RSI and the Bollinger Bands. It is particularly useful for traders looking for opportunities in volatile or trending markets.
How It Works:
RSI (Relative Strength Index):
The RSI measures the magnitude of recent price changes to evaluate whether an asset is overbought (values > 70) or oversold (values < 30).
In this indicator, horizontal lines at levels 70 (overbought) and 30 (oversold) are used as reference points.
Bollinger Bands:
Bollinger Bands are calculated around a smoothed moving average of the RSI. The upper band represents dynamic overbought levels, while the lower band indicates dynamic oversold levels.
These bands automatically adjust their width based on the volatility of the RSI, allowing them to adapt to different market conditions.
Buy and Sell Signals:
Buy Signal: A buy signal is generated when the RSI exceeds both the upper Bollinger Band and the overbought level (70). This suggests that the asset is in an extreme bullish phase.
Sell Signal: A sell signal is generated when the RSI falls below both the lower Bollinger Band and the oversold level (30). This suggests that the asset is in an extreme bearish phase.
Alerts:
The indicator includes automatic alerts to notify you when buy or sell signals are generated. This allows traders to act quickly on new opportunities.
Best Practices:
Confirmation in Lower Timeframes:
Although this indicator is powerful, it is recommended to confirm signals in lower timeframes before making trading decisions. For example:
If you receive a buy signal on a 4-hour chart, check if the RSI and Bollinger Bands on lower timeframes (such as 1 hour or 15 minutes) also show bullish signals.
This reduces the risk of false positives and increases the accuracy of your entries.
Use in Trends:
This indicator works best in markets with clear trends. In sideways or low-volatility markets, signals may be less reliable due to the lack of directional momentum.
Risk Management:
Always use stop-loss and take-profit to protect your positions. Buy and sell signals are just one tool for analysis; they do not guarantee results.
Combination with Other Indicators:
To improve accuracy, consider combining this indicator with others, such as MACD, Stochastic Oscillator, or Japanese candlestick patterns. This can provide additional confirmation before opening a position.
Summary:
The RSI + Bollinger Bands with Buy/Sell Signals indicator is an advanced tool designed to identify entry and exit points in the market based on extreme overbought and oversold conditions. However, to maximize its effectiveness, it is crucial to confirm signals in lower timeframes and use it in combination with other technical analysis tools. With proper risk management and careful interpretation of signals, this indicator can be a valuable ally in your trading strategy.
2:30 [LuciTech]this is a technical analysis tool designed to highlight key price levels and patterns during a specific trading window, based on UK time (Europe/London). It overlays visual elements on the chart, including a 12 PM reference line, Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL) levels, a highlighted 2:30 PM candle, and Engulfing Fair Value Gaps (FVGs). This indicator is intended for traders who focus on intraday price action and liquidity zones.
Features
The 12 PM Line displays a vertical line at 12:00 PM (UK time) to mark the start of the session. It’s customizable, allowing you to enable or disable it and adjust its color.
BSL/SSL Lines track the highest high (BSL) and lowest low (SSL) from 12:00 PM to 2:00 PM (UK time). These lines extend horizontally until 3:30 PM, after which they remain static at their last recorded levels. You can customize them by enabling or disabling visibility, adjusting colors, choosing a line style (solid, dashed, or dotted), and setting the width.
The 2:30 PM Candle highlights the candle at 2:30 PM (UK time) with a distinct color. It’s customizable, with options to enable or disable it and change its color.
Engulfing FVG (Fair Value Gap) identifies bullish and bearish engulfing patterns with a gap from the prior candle’s range. It draws a shaded box over the FVG area, and you can customize it by enabling or disabling it and adjusting the box color.
How It Works
The indicator operates within a session starting at 12:00 PM (UK time). BSL/SSL levels update between 12:00 PM and 2:00 PM, with lines extending until 3:30 PM. After 3:30 PM, these lines freeze.
BSL/SSL lines show the highest price (BSL) and lowest price (SSL) reached during the 12:00 PM to 2:00 PM window. After 3:30 PM, they remain static, marking the final range boundaries.
The 2:30 PM candle emphasizes a key timestamp, often of interest to intraday traders.
Engulfing FVGs detect significant price gaps created by engulfing candles, which may indicate potential reversal or continuation zones.
Settings
12 PM Line Settings let you toggle visibility and set the line color.
BSL/SSL Line Settings allow you to toggle visibility, set BSL and SSL colors, choose a line style (Solid, Dashed, Dotted), and adjust width (1-4).
2:30 Candle Settings let you toggle visibility and set the candle color.
Engulfing FVG Settings allow you to toggle visibility and set the box color.
Interpretation
The 12 PM Line serves as a reference for the session start.
BSL/SSL Lines may act as potential support or resistance zones or highlight liquidity areas. After 3:30 PM, they remain static, showing the session’s final range.
The 2:30 PM Candle can be monitored for price action signals, such as reversals or breakouts.
Engulfing FVGs shaded areas may indicate imbalances in supply and demand, useful for identifying trade opportunities or stop-loss placement.
Notes
The timezone is set to Europe/London (UK time). Ensure your chart’s timezone aligns for accurate results.
This indicator is best used on intraday timeframes, such as 1-minute or 5-minute charts.
It provides visual aids for analysis and does not generate buy or sell signals on its own.
Price Action: Engulfing PatternsBullish Engulfing Pattern Detection: A bullish engulfing pattern is identified when the previous candle is bearish (close < open ), the current candle is bullish (close > open), and the current candle's body engulfs the previous candle's body (close >= open and open <= close ).
Bearish Engulfing Pattern Detection: A bearish engulfing pattern is identified when the previous candle is bullish (close > open ), the current candle is bearish (close < open), and the current candle's body engulfs the previous candle's body (open >= close and close <= open ).
Plotting the Patterns: The plotshape function is used to mark the detected patterns on the chart. Bullish engulfing patterns are marked below the bar with a green upward label, while bearish engulfing patterns are marked above the bar with a red downward label.
ATR BandsThe ATR Bands indicator is a volatility-based tool that plots dynamic support and resistance levels around the price using the Average True Range (ATR). It consists of two bands:
Upper Band: Calculated as current price + ATR, representing an upper volatility threshold.
Lower Band: Calculated as current price - ATR, serving as a lower volatility threshold.
Key Features:
✅ Measures Volatility: Expands and contracts based on market volatility.
✅ Dynamic Support & Resistance: Helps identify potential breakout or reversal zones.
✅ Customizable Smoothing: Supports multiple moving average methods (RMA, SMA, EMA, WMA) for ATR calculation.
How to Use:
Trend Confirmation: If the price consistently touches or exceeds the upper band, it may indicate strong bullish momentum.
Reversal Signals: A price approaching the lower band may suggest a potential reversal or increased selling pressure.
Volatility Assessment: Wide bands indicate high volatility, while narrow bands suggest consolidation.
This indicator is useful for traders looking to incorporate volatility-based strategies into their trading decisions
Flat NumbersCustomizable Price Range: Set the start price and end price to define the range in which horizontal lines will be plotted.
Line Color: Choose the color of the horizontal lines to match your chart's theme or personal preference.
Line Width: Adjust the width of the lines (from 1 to 5) to control their visibility.
Price Step Size: By default, the script plots lines every 100 price units within the range, but this step size can be customized if desired.
Dynamic Line Plotting: The script automatically calculates the number of lines needed and plots them at each interval between the start and end prices.
Hanzo_Wave_Price %Hanzo_Wave_Price % is a custom indicator for the TradingView platform that combines RSI (Relative Strength Index) and Stochastic RSI while also displaying the percentage price change over a specified period. This indicator helps traders identify overbought and oversold conditions, analyze price waves, and forecast potential market movements.
How It Works
1. RSI and Stochastic RSI Calculation
RSI is calculated based on the selected price source (default: close) with a user-defined Main Line period.
Stochastic RSI is then applied and smoothed using a moving average.
The Main Line represents the smoothed Stochastic RSI, serving as a wave indicator to help identify potential entry and exit points.
2. Overbought and Oversold Zones
The 70 and 30 levels indicate overbought and oversold zones, displayed as dashed lines on the chart.
Additional 20% and 10% levels provide a visual reference for historical price changes, aiding in future predictions.
3. Percentage Price Change Calculation
The indicator calculates the percentage price change over a Barsback period (default: 30 candles).
Users can choose a multiplier (100 or 1000) for better visualization (1000 scales the values by dividing by 10).
The data is displayed as a colored area:
Red (Short) → Negative price change.
Green (Buy) → Positive price change.
Settings & Parameters
Multiplier 💪 – Selects the scaling factor (100 or 1000) for percentage values.
Main Line ✈️ – Stochastic smoothing period (smoothK).
Don't touch ✋ – Reserved value (do not modify).
RSI 🔴 – RSI calculation period.
Stochastic 🔵 – Stochastic RSI calculation period.
Source ⚠️ – Price source for calculations (default: close).
Price changes % 🔼🔽 – Enables percentage price change display.
Barsback ↩️ – Number of candles used to calculate price change.
Visual Representation
Gray Line (Takeprofit Line 🎯) – Smoothed Stochastic RSI.
Red Dashed Line (70) – Overbought zone.
Blue Dashed Line (30) – Oversold zone.
Percentage Price Change Display:
Green Fill → Price increase.
Red Fill → Price decrease.
Advantages
✅ Combined Analysis – Uses RSI and Stochastic RSI for more accurate market condition identification.
✅ Flexibility – Customizable parameters allow adaptation for different markets and strategies.
✅ Visual Clarity – Clearly defined zones and dynamic percentage change display.
✅ Additional Market Insights – The percentage price change helps assess market volatility.
Disadvantages
⚠ Lagging Signals – Smoothing may cause delayed response.
⚠ False Breakouts – The 70/30 levels may not always work effectively for all assets.
⚠ IMPORTANT!
This indicator is for informational and educational purposes only. Past performance does not guarantee future profits! Use it in combination with other technical analysis tools. 🚀
Example 1: Identifying a Long Position
📌 Scenario:
The asset price has dropped significantly (1-hour timeframe), and the Main Line (gray line) crosses below the 30 level. This signals oversold conditions, which may indicate a potential reversal or upward correction.
✅ How to Use:
1️⃣ Identifying the Entry Zone:
If the Main Line is below 30, consider looking for a long entry point.
2️⃣ Confirming the Signal:
Place a vertical line at the moment when the Main Line crosses the 30 level from below.
3️⃣ Confirmation on a Lower Timeframe:
Switch to a 30-minute timeframe and wait for the Main Line to cross above the 70 level.
Enter a long position at this point.
4️⃣ Analyzing Percentage Price Change:
Check the historical indicator behavior:
If a similar past movement resulted in a ~10% price increase (green fill), this may indicate potential upward momentum.
5️⃣ Setting Take-Profit:
Set a take-profit level at 10%, based on previous price movements.
Also, monitor when the Main Line crosses the 70 level, as this may signal a potential profit-taking point.
📊 Conclusion:
This method helps to precisely determine entry points by confirming signals across multiple timeframes and analyzing the historical volatility of the asset. 🚀
Example 2: Analyzing Percentage Price Change
📌 Scenario:
You have set the Barsback parameter to 30, and the indicator shows +3.5%. This means that over the last 30 candles, the price has increased by 3.5%.
However, such small changes might be visually difficult to notice. To improve visibility, you can enable the multiplier (1000), which will scale the displayed percentage change to 35%. This is purely for visual convenience—the actual price movement remains 3.5%.
✅ How to Use:
1️⃣ Identifying Trend Direction:
If the percentage change is positive (green area) → Uptrend.
If the percentage change is negative (red area) → Downtrend.
2️⃣ Analyzing Movement Strength:
Compare the current percentage change with previous waves to evaluate the strength of the movement.
For example:
If previous waves reached 10% or more, a current wave of 3.5% might indicate a weak trend or a local correction.
3️⃣ Additional Filtering with the Main Line (Gray Line):
Use the Main Line to confirm the trend.
If the percentage change shows an increase, but the Main Line is still below 30, further upward movement can be expected.
If the percentage change indicates a decline, but the Main Line is above 70, there is a higher probability of a downward reversal.
"It's unfortunate that TradingView restricts adding images to indicator descriptions unless you have a paid subscription. This makes it harder to share free tools effectively."
Dynamic VWAP Levels (V1.0)The script calculates bands around the VWAP (Volume Weighted Average Price) using the Average True Range (ATR) to adjust the levels according to market reality. Buy and sell signals are generated when the price crosses these bands.
Customizable Parameters SmoothingLength (SmoothLength): The period used to smooth the levels. A higher value results in smoother bands that are less susceptible to rapid fluctuations.
Use EMA for smoothing?: Selects between using the Exponential Moving Average (EMA) or the Simple Moving Average (SMA) for smoothing.
ATR Length: The period used to calculate the ATR, which determines the frequency.
ATR Multiplier: A multiplier that adjusts the amplitude of the bands around the VWAP.
How the Script Works Calculating VWAP and Bands: The VWAP is calculated to obtain the volume weighted average price.
Bands are created around the VWAP by adding or subtracting a fraction of the ATR to account for the current market variation.
Smoothing Application: Price levels are smoothed to reduce market noise, allowing for better visualization of trends.
Signal Generation: Buy Signal: Generated when price crosses upwards the smoothed lower band (default dp7_smooth).
Sell Signal: Generated when price crosses downwards the smoothed upper band (default dp1_smooth).
Breakout indicatorThis indicator helps traders identify potential breakout levels based on the highest high and lowest low of the last N candles, inspired by the classic Turtle Trading strategy. The period (N) is fully customizable, allowing you to adapt it to your trading style. For daily charts, a period between 50 and 100 is recommended.
The indicator dynamically plots horizontal lines representing the highest high and lowest low over the selected period. These lines are updated in real-time as price action evolves. A breakout is confirmed when the price closes above the high line (for a bullish breakout) or below the low line (for a bearish breakout).
Customize the appearance of the lines with options for thickness, color, and style (solid, dotted, or dashed) to suit your chart preferences. Perfect for traders looking to implement a simple yet effective breakout strategy!
Key Features:
Editable period (N) for high/low calculation.
Real-time updates of high/low levels.
Customizable line thickness, color, and style.
Usage:
Use on daily charts for swing trading or position trading.
Combine with other indicators or price action analysis for better confirmation.
Window Seasonality IndicatorThis is a time window seasonal returns indicator. That is, it will provide the mean returns for a given time window based on a given number of lookbacks set by the user. The script finds matching time windows, e.g., 1st week of March going back 5 years or 9:00-10:00 window of every day going 50 days, and then calculates an average return for that window close price with respect to the close price in the immediately preceding time window, e.g. last week of February or 8:00-9:00 close price, respectively.
There are 4 input options:
1) Historical Periods to Average: Set the number of matching historical windows with which to calculate an average price. The max is 730 lookback windows. Note: for monthly or weekly windows, setting too large a number will cause the script to error out.
2) Use Open Price: calculates the seasonal returns using the open price rather than close price.
3) Show Bands: select from 1 Gaussian standard deviation or a nonparamateric ranked confidence interval. As a rough heuristic, the Gaussian band requires at least 30 lookback periods, and the ranked confidence interval requires 50 or more.
4) Upper Percentile: set the upper cutoff for ranked confidence interval.
5) Lower Percentile: set the lower cutoff for ranked confidence interval.
Please be aware, this indicator does not use rigorous statistical methodology and does not imply predictive power. You'll notice the range bands are very wide. Do not trade solely based on this indicator! Certain time windows, such as weekly and monthly, will make more sense applied to commodities, where annual cycles play a role in its supply and demand dynamics. Hourly windows are more useful in looking at equities markets. I like to look at equities with 1-hr windows to see if there is some pattern to overnight behavior or for market open and close.
FVG Reversal Sentinel🔵 FVG Reversal Sentinel – Multi-Timeframe Fair Value Gap Indicator
The FVG Reversal Sentinel is a powerful TradingView indicator designed to help traders identify and track Fair Value Gaps (FVGs) across multiple timeframes, all within a single chart.
This tool allows you to select up to five separate timeframes, ensuring you never miss key market shifts, whether you are scalping, day trading, or swing trading. You can use this indicator in any asset (Cryptos, Futures, Indices, Forex Pairs, etc.).
🔵 - Key Features -
Multi-Timeframe FVG Tracking – Select and display up to five different timeframes on one chart, providing a comprehensive view of market structure.
Customizable Colors – Adjust bullish and bearish FVG colors to match your chart theme for a seamless trading experience.
Enhanced Market Context – Quickly identify key liquidity zones and refine your entries and exits with precision.
Hide the lower timeframes FVGs to get a clear view in a custom timeframe.
Show or hide mitigated FVGs to declutter the chart.
FVGs boxes are going to be displayed only when the candle bar closes
FVGs are going to be mitigated only when the body of the candle closes above or below the FVG area.
No repainting
Whether you're looking to fine-tune your entries or gain a broader market perspective, the FVG Reversal Sentinel indicator ensures you have the tools to stay ahead of price action and capitalize on market inefficiencies.
🔵 - Customization-
You can change the indicator settings as you see fit to achieve the best results for your use case.
TIMEFRAMES
This indicator provides the ability to select up to 5 timeframes. These timeframes are based on the trader's timeframes including any custom timeframes.
Select the desired timeframe from the options list.
Add the label text you would like to show for the selected timeframe.
Check or uncheck the box to display or hide the timeframe from your chart.
FVG SETTINGS
Length of boxes: allows you to select the length of the box that is going to be displayed for the FVGs.
Delete boxes after fill?: allows you to show or hide mitigated FVGs on your chart.
Hide FVGs lower than enabled timeframes?: allows you to show or hide lower timeframe FVGs on your chart. Example - You are in a 15 minutes timeframe chart, if you choose to hide lower timeframe FVGs you will not be able to see 5 minutes FVG defined in your Timeframes Settings, only 15 minutes or higher timeframe FVGs will be displayed on your chart.
BOX VISUALS
Bullish FVG box color: the color and opacity of the box for the bullish FVGs.
Bearish FVG box color: the color and opacity of the box for the bearish FVGs.
LABELS VISUALS
Bullish FVG labels color: the color for bullish labels.
Bearish FVG labels color: the color for bearish labels.
Labels size: the size of the text displayed in the labels.
Labels position: the position of the label inside the FVGs boxes (right, left or center).
BORDER VISUALS
Border width: the width of the border (the thickness).
Bullish FVG border color: the color and the opacity of the bullish box border.
Bearish FVG border color: the color and the opacity of the bearish box border.
🔵 - How to use the indicator -
Just add the indicator in your chart and click in the settings option to customize it.
Make sure you select the desired timeframes and set the colors and opacity for the FVGs boxes.
This indicator can be used in many trading strategies, such as:
SILVER BULLET
iFVG
iFVG RETEST
These strategies are based on the use of FVGs, this tool can help you analyze the market and make the right decision.
🔵 - How was the indicator designed? -
I have spent a lot of time testing other open source indicators from the community. All of these indicators do a great job, but they have a problem, they not only mitigate FVGs when a candle closes above or below the FVG, they also mitigate FVGs when the candle closes exactly to the tick (not above or below the FVG). This is a problem for many strategies that rely on FVGs mitigation.
What makes this indicator different is that it focuses on just mitigating imbalances at the right time for these strategies.
I have taken ideas and some pieces of code from many community indicator developers, such as:
@twingall
@tflab
@marktools
@nacho-fx
@pmk07
... and many other people, to whom I thank for their valuable work and have allowed me to create this tool by making modifications to their source code.
🔵 - Disclaimer -
This tool is intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. It's not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on any indicator for financial decisions.
