SuperNova - Dynamic Trend Adaptive Average FilterThe SuperNova filter creates a custom adaptive moving average called the Dynamic Trend Adaptive Average (DTAA). It adjusts its smoothing in real-time based on the efficiency of recent price movement and the current level of volatility. An adaptive channel background is based on the strength of the DTAA movement, whose fill color and transparency change dynamically according to market bias. In addition, the indicator computes DTAA values on multiple timeframes (5min, 15min, 1hr, and 4hr) and displays them in a statistics table. A visual “DTAA Ribbon” made up of 20 DTAA lines enhances the analysis by showing trends in a gradient color style.
Input and Color Setup
• Defines inputs for table background and text colors (e.g., tableBgColor and tableTextColor).
• Includes a helper function (mixColor) that linearly interpolates between two colors based on an interpolation factor.
Efficiency Metric Calculation
• Calculates the change in price between consecutive bars (priceDelta) and its absolute value (absPriceDelta).
• Computes totalMovement by taking the simple moving average (SMA) of these absolute differences over a period defined by the “Movement Duration” (movDuration) and then scales it by that duration.
• Derives an efficiency metric (effMetric) by comparing the net price change over the lookback period with the total movement—measuring how “efficient” the price move is.
Adaptive Smoothing Constant
• Determines fast and slow smoothing constants (fastConst and slowConst) based on input periods (rapidLen and gradualLen).
• Blends these constants to calculate an adaptive constant (adaptConst). This adaptive factor is squared and then multiplied by a boostFactor to dynamically adjust the smoothing strength.
Dynamic Trend Adaptive Average (DTAA) Calculation
• Implements a recursive calculation similar to Kaufman’s Adaptive Moving Average: on the first bar, DTAA is set equal to the close; thereafter, it is updated by adding the product of adaptConst and the difference between the current close and the previous DTAA.
Volatility Measurement
• Calculates volatility using the Average True Range (ATR) over a specified period (volLength).
Normalized Slope and Market Bias Determination
• Computes the normalized slope of the DTAA by dividing the change in DTAA by the current volatility (priceSlope).
• A smoothed average of the slope (avgSlope) is obtained using an SMA over a period defined by trendSmooth.
• Market bias is determined by the sign of avgSlope: a positive value signifies bullish bias, a negative value bearish, and zero suggests neutrality, with biasIntensity capturing the strength of the trend.
Channel (Envelope) Construction
• Creates an upper and lower envelope by adding/subtracting a multiple of the volatility (bandFactor) to/from the DTAA.
• Plots these envelopes and fills the area between them with a color whose transparency (alpha_env) is dynamically adjusted based on the bias intensity and the selected gradient factor. The fill color shifts according to whether the market is bullish, bearish, or neutral.
Dynamic DTAA Plotting with Gradient Coloring
• Calculates a gradient intensity from the biasIntensity.
• Uses the mixColor function to blend a neutral color with either an up (bullish) or down (bearish) color depending on the calculated market bias.
• Plots the DTAA itself using the dynamically derived adaptive color and a specified line width (dtaaLineWidth).
Multi-Timeframe DTAA and Bias Calculations
• Recalculates DTAA for higher timeframes (5 minutes, 15 minutes, 1 hour, 4 hours) using request.security().
• Determines the bias for each timeframe by comparing the current DTAA value with its prior value on that timeframe, outputting textual markers (“Bullish”, “Bearish”, or “Neutral”).
Statistics Table Display
• Creates a table (tableStats) in the top-right corner showing the primary DTAA value along with the bias (or trend state) for each of the four timeframes, allowing quick visual reference.
DTAA Ribbon
• Generates multiple DTAA lines (up to 20) with slightly different responsiveness or lag.
• Each line in the ribbon is plotted with a gradient color effect (using dynamic transparency adjustments) so that the full “ribbon” visually represents the evolution of the trend over time.
Phân tích Sóng
Fibonacci - DolphinTradeBot
OVERVIEW
The 'Fibonacci - DolphinTradeBot' indicator is a Pine Script-based tool for TradingView that dynamically identifies key Fibonacci retracement levels using ZigZag price movements. It aims to replicate the Fibonacci Retracement tool available in TradingView’s drawing tools. The indicator calculates Fibonacci levels based on directional price changes, marking critical retracement zones such as 0, 0.236, 0.382, 0.5, 0.618, 0.786, and 1.0 on the chart. These levels are visualized with lines and labels, providing traders with precise areas of potential price reversals or trend continuation.
HOW IT WORKS ?
The indicator follows a zigzag formation. After a large swing movement, when new swings are formed without breaking the upper and lower levels, it places Fibonacci levels at the beginning and end points of the major swing movement."
▪️(Bullish) Structure :High → HigherLow → LowerHigh
▪️(Bearish) Structure :Low → LowerHigh → HigherLow
▪️When Fibonacci retracement levels are determined, a "📌" mark appears on the chart.
▪️If the price closes outside of these levels, a "❌" mark will appear.
USAGE
This indicator is designed to plot Fibonacci levels within an accumulation zone following significant price movements, helping you identify potential support and resistance. You can adjust the pivot periods to customize the zigzag settings to your preference. While classic Fibonacci levels are used by default, you also have the option to input custom levels and assign your preferred colors.
Set the Fibonacci direction option to "upward" to detect only bullish structures, "downward" to detect only bearish structures, and "both" to see both at the same time.
"To view past levels, simply enable the ' Show Previous Levels ' option, and to display the zigzag lines, activate the ' Show Zigzag ' setting."
ALERTS
The indicator, by default, triggers an alarm when both a level is formed and when a level is broken. However, if you'd like, you can select the desired level from the " Select Level " section in the indicator settings and set the alarm based on one of the conditions below.
▪️ cross-up → If the price breaks the Fibonacci level to the upside.
▪️ cross-down → If the price breaks the Fibonacci level to the downside.
▪️ cross-any → If the price breaks the Fibonacci level in any direction.
FVGFVG indicator with partially filled FVG
Simple alerts triggers
inspired by @spacemanbtc and @anche1991
GARCH-Kalman Hybrid IndicatorGARCH-Kalman Hybrid Indicator
The GARCH-Kalman Hybrid Indicator combines volatility modeling (GARCH approximation) with trend filtering (Kalman approximation) to enhance trading decisions.
🔹 GARCH Approximation: Estimates rolling volatility using a standard deviation proxy to detect high-risk periods.
🔹 Kalman Approximation: Uses an EMA-based smoothing filter to track price trends and reduce noise.
🔹 Trading Signals:
✔ Buy when price crosses above the Kalman line & volatility is low.
✔ Sell when price crosses below the Kalman line & volatility is high.
This hybrid approach balances trend accuracy with risk assessment, making it ideal for momentum and volatility-based trading strategies. 🚀
Ali Bull Bear Power (ABBP)Based on the numerical difference between the close and the high and low prices in a specific length
One Trading Setup for Life ICT [TradingFinder] Sweep Session FVG🔵 Introduction
ICT One Trading Setup for Life is a trading strategy based on liquidity and market structure shifts, utilizing the PM Session Sweep to determine price direction. In this strategy, the market first forms a price range during the PM Session (from 13:30 to 16:00 EST), which includes the highest high (PM Session High) and lowest low (PM Session Low).
In the next session, the price first touches one of these levels to trigger a Liquidity Hunt before confirming its trend by breaking the Change in State of Delivery (CISD) Level. After this confirmation, the price retraces toward a Fair Value Gap (FVG) or Order Block (OB), which serve as the best entry points in alignment with liquidity.
In financial markets, liquidity is the primary driver of price movement, and major market participants such as institutional investors and banks are constantly seeking liquidity at key levels. This process, known as Liquidity Hunt or Liquidity Sweep, occurs when the price reaches an area with a high concentration of orders, absorbs liquidity, and then reverses direction.
In this setup, the PM Session range acts as a trading framework, where its highs and lows function as key liquidity zones that influence the next session’s price movement. After the New York market opens at 9:30 EST, the price initially breaks one of these levels to capture liquidity.
However, for a trend shift to be confirmed, the CISD Level must be broken.
Once the CISD Level is breached, the price retraces toward an FVG or OB, which serve as optimal trade entry points.
Bullish Setup :
Bearish Setup :
🔵 How to Use
In this strategy, the PM Session range is first identified, which includes the highest high (PM Session High) and lowest low (PM Session Low) between 13:30 and 16:00 EST. In the following session, the price touches one of these levels for a Liquidity Hunt, followed by a break of the Change in State of Delivery (CISD) Level. The price then retraces toward a Fair Value Gap (FVG) or Order Block (OB), creating a trading opportunity.
This process can occur in two scenarios : bearish and bullish setups.
🟣 Bullish Setup
In a bullish scenario, the PM Session High and PM Session Low are identified. In the following session, the price first breaks the PM Session Low, absorbing liquidity. This process results in a Fake Breakout to the downside, misleading retail traders into taking short positions.
After the Liquidity Hunt, the CISD Level is broken, confirming a trend reversal. The price then retraces toward an FVG or OB, offering an optimal long entry opportunity.
The initial take-profit target is the PM Session High, but if higher timeframe liquidity levels exist, extended targets can be set.
The stop-loss should be placed below the Fake Breakout low or the first candle of the FVG.
🟣 Bearish Setup
In a bearish scenario, the market first defines its PM Session High and PM Session Low. In the next session, the price initially breaks the PM Session High, triggering a Liquidity Hunt. This movement often causes a Fake Breakout, misleading retail traders into taking incorrect positions.
After absorbing liquidity, the CISD Level breaks, indicating a shift in market structure. The price then retraces toward an FVG or OB, offering the best short entry opportunity.
The initial take-profit target is the PM Session Low, but if additional liquidity exists on higher timeframes, lower targets can be considered.
The stop-loss should be placed above the Fake Breakout high or the first candle of the FVG.
🔵 Setting
CISD Bar Back Check : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
Order Block Validity : The number of candles that determine the validity of an Order Block.
FVG Validity : The duration for which a Fair Value Gap remains valid.
CISD Level Validity : The duration for which a CISD Level remains valid after being broken.
New York PM Session : Defines the PM Session range from 13:30 to 16:00 EST.
New York AM Session : Defines the AM Session range from 9:30 to 16:00 EST.
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
Demand Order Block : Enables or disables bullish Order Block.
Supply Order Block : Enables or disables bearish Order Blocks.
Demand FVG : Enables or disables bullish FVG.
Supply FVG : Enables or disables bearish FVGs.
Show All CISD : Enables or disables the display of all CISD Levels.
Show High CISD : Enables or disables high CISD levels.
Show Low CISD : Enables or disables low CISD levels.
🔵 Conclusion
The ICT One Trading Setup for Life is a liquidity-based strategy that leverages market structure shifts and precise entry points to identify high-probability trade opportunities. By focusing on PM Session High and PM Session Low, this setup first captures liquidity at these levels and then confirms trend shifts with a break of the Change in State of Delivery (CISD) Level.
Entering a trade after a retracement to an FVG or OB allows traders to position themselves at optimal liquidity levels, ensuring high reward-to-risk trades. When used in conjunction with higher timeframe bias, order flow, and liquidity analysis, this strategy can become one of the most effective trading methods within the ICT Concept framework.
Successful execution of this setup requires risk management, patience, and a deep understanding of liquidity dynamics. Traders can enhance their confidence in this strategy by conducting extensive backtesting and analyzing past market data to optimize their approach for different assets.
Orbital SMI Oscillatorthis is a quick little project, I understand its pretty cluttered but looking for some feedback.cheers
1. Core SMI Calculation
Purpose: Foundation oscillator using Stochastic Momentum Index
Inputs:
smilength: Period for high/low range
ema1length/ema2length: Double EMA smoothing periods
Calculates:
Distance from price to midpoint of recent range
Smoothed numerator (price deviation) and denominator (range volatility)
Final SMI = 100 * (smoothed numerator / (denominator/2))
2. Orbital Mechanics Layer
Purpose: Frame price action as celestial mechanics
Components:
orbital_high/low: Recent SMI extremes (20-period default)
orbital_phase: Normalized position between extremes (-1 to +1)
distance_to_high/low: Proximity to orbital bounds
mass: Volatility ratio (14-period vs 50-period ATR)
3. KNN Prediction Engine
Purpose: Forecast SMI using pattern matching
Mechanics:
Stores historical triplets
Compares current pattern (last 5 values) to history
Finds k most similar patterns (weighted Euclidean distance)
Predicts next SMI as average of neighbors' outcomes
4. Escape Velocity System
Purpose: Detect trend breakouts
Key Elements:
escape_velocity_threshold: sqrt(2 * gravitational_pull)
gravitational_pull: Function of volatility (mass) and orbital range
Triggers when momentum + acceleration exceed threshold near extremes
EMA Ribbon with VWAP BY TIJUThe EMA Ribbon with VWAP is a powerful trading strategy that combines Exponential Moving Averages (EMAs) and the Volume Weighted Average Price (VWAP) to identify trends, reversals, and potential entry/exit points. This strategy is versatile and can be used in spot trading (buying and selling assets) as well as long/short trading (used in margin or futures markets).
1. What is the EMA Ribbon?
The EMA Ribbon consists of multiple EMAs plotted on the chart, each with a different period (e.g., 20, 25, 30, 35, etc.). These EMAs create a "ribbon" that helps traders visualize the strength and direction of the trend.
Bullish Trend: The EMA ribbon fans upward, with shorter-term EMAs (e.g., 20-EMA) above longer-term EMAs (e.g., 55-EMA).
Bearish Trend: The EMA ribbon fans downward, with shorter-term EMAs below longer-term EMAs.
Sideways/Choppy Market: The EMA ribbon is flat or compressed, indicating no clear trend.
2. What is VWAP?
The Volume Weighted Average Price (VWAP) is a technical indicator that calculates the average price of an asset based on both volume and price. It is often used to identify the fair value of an asset during the trading session.
Bullish Signal: Price is above VWAP, indicating strong buying pressure.
Bearish Signal: Price is below VWAP, indicating strong selling pressure.
Support/Resistance: VWAP acts as dynamic support in uptrends and resistance in downtrends.
3. How to Trade Using EMA Ribbon with VWAP
A. Spot Trading (Buying and Selling)
In spot trading, you can only buy an asset (go long) and sell it later at a higher price. Here's how to use the EMA Ribbon with VWAP for spot trading:
Buy Signal (Long Trade):
EMA Ribbon: The ribbon fans upward (shorter EMAs above longer EMAs).
VWAP: Price is above VWAP, confirming bullish momentum.
Entry: Buy when the price pulls back to VWAP or the EMA ribbon and bounces with a bullish candlestick (e.g., hammer, engulfing).
Stop Loss: Place below the VWAP or the lowest EMA in the ribbon (e.g., 55-EMA).
Take Profit: Exit when the price reaches a resistance level or the EMA ribbon compresses (shorter EMAs cross below longer EMAs).
Sell Signal (Exit Long Trade):
EMA Ribbon: The ribbon starts compressing or fans downward.
VWAP: Price drops below VWAP, indicating weakening momentum.
Exit: Sell your position to lock in profits or cut losses.
B. Long/Short Trading (Futures or Margin Trading)
In long/short trading, you can profit from both rising and falling markets. Here's how to use the strategy:
Long Trade (Buy Low, Sell High):
Follow the same rules as the Buy Signal in spot trading.
Use leverage cautiously and always set a stop loss.
Short Trade (Sell High, Buy Low):
EMA Ribbon: The ribbon fans downward (shorter EMAs below longer EMAs).
VWAP: Price is below VWAP, confirming bearish momentum.
Entry: Short when the price rallies to VWAP or the EMA ribbon and gets rejected with a bearish candlestick (e.g., shooting star, bearish engulfing).
Stop Loss: Place above the VWAP or the highest EMA in the ribbon.
Take Profit: Exit when the price reaches a support level or the EMA ribbon compresses (shorter EMAs cross above longer EMAs).
4. Key Rules for Trading
Trend Identification: Use the EMA ribbon to determine the trend direction (bullish, bearish, or sideways).
Confirmation: Always wait for price action confirmation (e.g., bullish/bearish candlestick patterns) before entering a trade.
Risk Management:
Risk only 1-2% of your capital per trade.
Use a stop loss to limit losses.
Move stops to breakeven once the trade is profitable.
Avoid Choppy Markets: Do not trade when the EMA ribbon is flat or compressed, as this indicates a lack of trend.
5. Example Trade Setup
Long Trade Example:
Chart Setup:
EMA ribbon fans upward (20 > 25 > 30 > ... > 55).
Price pulls back to VWAP or the 55-EMA.
Entry: Buy when price bounces off VWAP with a bullish candle.
Stop Loss: 2% below the VWAP.
Take Profit: At the next resistance level or when the EMA ribbon compresses.
Short Trade Example:
Chart Setup:
EMA ribbon fans downward (20 < 25 < 30 < ... < 55).
Price rallies to VWAP and gets rejected.
Entry: Short when price drops below VWAP with a bearish candle.
Stop Loss: 2% above VWAP.
Take Profit: At the next support level.
6. When to Avoid Trading
The EMA ribbon is flat or compressed (no clear trend).
Price is chopping around VWAP (no directional bias).
Low trading volume (weak confirmation).
7. Backtesting and Refinement
Test the strategy on historical data to see how it performs.
Adjust the EMA periods (e.g., 10, 15, 20) to suit your trading style.
Add additional filters like RSI or MACD to avoid false signals.
8. Summary
EMA Ribbon: Identifies trend direction and strength.
VWAP: Confirms momentum and acts as dynamic support/resistance.
Buy/Sell Signals:
Buy when EMA ribbon is bullish + price is above VWAP.
Sell/Short when EMA ribbon is bearish + price is below VWAP.
Risk Management: Always use stop losses and proper position sizing.
This strategy works best in trending markets and should be combined with price action and volume analysis for higher accuracy. Happy trading! 🚀
Bitcoin Polynomial Regression Model💡Why this model was created:
One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model).
This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here .
📉The theory of diminishing returns:
This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles.
To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/
🔧Creation of the model:
For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section.
This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function:
ax^3 +bx^2 + cx + d.
In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows:
Top regression line (x, y) values:
113, 18.6
240, 1004
451, 19128
655, 65502
Bottom regression line (x, y) values:
103, 2.5
267, 211
471, 3193
676, 16255
The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found:
Top regression line parameter values:
a: 0.000202798
b: 0.0872922
c: -30.88805
d: 1827.14113
Bottom regression line parameter values:
a: 0.000138314
b: -0.0768236
c: 13.90555
d: -765.8892
📊Polynomial Regression Oscillator:
This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula:
normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line)
This transformation results in a price value between 0 and 1 between both the regression lines. The Oscillator version can be found here .
🔍Interpretation of the Model:
In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom.
The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom.
Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below.
🔮Future Predictions:
Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom:
In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top.
Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026.
Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026.
For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow:
And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below.
Custom RSI-MACD-ATR IndicatorThis scrip help you to test strategy at the same time to use RSI to check the strength or overbought and oversold ATR help you to check the Stoploss and take profit (the SL and TP you can check by yourself).
SuperTrend Bar Counter - DolphinTradeBot
OVERVIEW
This indicator calculates the lengths of upward and downward trends based on the specified SuperTrend settings and timeframe. It then takes the average length of the entered number of swings and compares the current trend durations with these averages. The main goal is to anticipate potential reversals in advance.
HOW IS IT WORK ?
The indicator actually contains two different but conceptually similar metrics.
The first part; shows how long the Supertrend stays in an upward or downward trend in real time. Additionally, it analyzes how close the current value is to the average of the Supertrend bar count for the given input.
The second part; aims to provide a different perspective on general trend analysis. It calculates the average duration of upward and downward trends in bars based on the SuperTrend indicator settings within a specified period and timeframe. If, contrary to expectations, downward trends last longer than upward trends, the background is colored green, indicating a prediction that the trend will continue upward.
Explanation of the second part logic: As you know, moving averages or similar approaches that follow the price are often correct when looking back retrospectively, but they cannot serve as leading indicators in real-time trading.That's why, when performing trend analysis, I wanted to introduce a completely different perspective based on price movement, yet still grounded in price action itself.
This phenomenon is partly due to the nature of the SuperTrend itself. After strong price movements, SuperTrend tends to reverse direction much more quickly during pullbacks. Following a strong upward move, a downward trend is detected much earlier and tends to last longer. The indicator provides an alternative perspective by analyzing which directional movement occurs more rapidly and uses this insight for trend prediction.
HOW TO USE ?
It can be used to identify potential price reversals or to assess whether the price is generally cheap or expensive.
In the settings section, you can adjust the SuperTrend parameters and timeframes for the values displayed in the table.
In the second part, you can configure the values used for general trend analysis.
NOTE
Things to be aware of: As the chart's timeframe decreases, pulling data from higher timeframes becomes more difficult. For example, when the chart is set to a 5-minute timeframe, it may fail to retrieve swing periods from the daily timeframe. Similarly, on a 4-hour chart, when calculating the average swing, there might be enough data for only 5 periods instead of 20.
Please keep in mind that this indicator was created solely to provide an idea. It should only be considered as a perspective or a supporting tool that influences your decision by no more than 5% at most.
Solar VPR (No EVMA) + Alpha TrendThis Pine Script v6 indicator combines Solar VPR (without EVMA slow average) and Alpha Trend to identify potential trading opportunities.
Solar VPR calculates a Simple Moving Average (SMA) of the hlc3 price and defines upper/lower bands based on a percentage multiplier. It highlights bullish (green) and bearish (red) zones.
Alpha Trend applies ATR-based smoothing to an SMA, identifying trend direction. Blue indicates an uptrend, while orange signals a downtrend.
Buy/Sell Signals appear when price crosses Alpha Trend and aligns with Solar VPR direction.
Intraday Anchored FanSimilar to an Anchored VWAP, this lets you click a bar on an Intraday chart to add an "Anchored Fan" which displays lines at up to 6 levels above and below the chosen Anchor Point. Useful to measure the retracement during swing moves.
You can reposition the fan by either hovering over the anchor or by clicking the name of the study to "activate" it, and then dragging. You can also change the Anchor Point in Settings.
By default the anchor uses the bar Close, but you can change this manually in settings OR you can use the fancy "Auto high/low" mode which is handy if you are mainly dropping the fan on local swing highs and lows.
The default line measures were chosen for ES (Futures) but the study should be usable with nearly anything as long as you adjust the settings to something appropriate for the ticker. If you want to use this on NQ, for example, it would be reasonable to multiple each of these settings by 3.5 or so.
NOTE: If the fan is off the left side of the chart, one way to see the Anchor handle again easily is to switch to a higher timeframe; for example if you are on the 5min maybe use the 15min or hourly to find the handle -- if it is WAY off the left side (for example if you let many days pass without advancing it) it's generally easiest to use Settings to move it back to "now".
cashdata by farashahThis indicator is designed to generate wave charts following the NeoWave method.
NeoWave, developed by Glenn Neely in 1990, offers a scientific and objective approach to wave analysis.
A Cash Data is essential for accurate analysis, requiring highs and lows to be plotted in the exact order they occurred—a process that can be complex and time-consuming.
The indicator automates this process by identifying highs and lows for any symbol and timeframe, plotting them in real-time.
For instance, on a monthly timeframe, it finds yearly highs and lows and arranges them sequentially, forming a "Yearly Wave Chart" for NeoWave analysis.
•Generates Wave Charts for multiple timeframes(yearly, monthly, weekly, daily, hourly, minutely).
• Provides real-time auto-updating Wave Charts.
• Supports plotting based on calendar time, bar count, or equal distances.
• Compatible with all account types.
Machine Learning + Geometric Moving Average 250/500Indicator Description - Machine Learning + Geometric Moving Average 250/500
This indicator combines password-protected market analysis levels with two powerful Geometric Moving Averages (GMA 250 & GMA 500).
🔒 Password-Protected Custom Levels
Access pre-defined long and short price levels for select assets (crypto, stocks, and more) by entering the correct password in the indicator settings.
Once the correct password is entered, the indicator automatically displays:
Green horizontal lines for long entry zones.
Red horizontal lines for short entry zones.
If the password is incorrect, a warning label will appear on the chart.
📈 Geometric Moving Averages (GMA)
This indicator calculates GMA 250 and GMA 500, two long-term trend-following tools.
Unlike traditional moving averages, GMAs use logarithmic smoothing to better handle exponential price growth, making them especially useful for assets with strong trends (e.g., crypto and tech stocks).
GMA 250 (white line) tracks the medium-term trend.
GMA 500 (gold line) tracks the long-term trend.
⚙️ Customizable & Flexible
Works on multiple assets, including cryptocurrencies, equities, and more.
Adaptable to different timeframes and trading styles — ideal for both swing traders and long-term investors.
This indicator is ideal for traders who want to blend custom support/resistance levels with advanced geometric trend analysis to better navigate both volatile and trending markets.
US Yield Curve (2-10yr)US Yield Curve (2-10yr) by oonoon
2-10Y US Yield Curve and Investment Strategies
The 2-10 year US Treasury yield spread measures the difference between the 10-year and 2-year Treasury yields. It is a key indicator of economic conditions.
Inversion (Spread < 0%): When the 2-year yield exceeds the 10-year yield, it signals a potential recession. Investors may shift to long-term bonds (TLT, ZROZ), gold (GLD), or defensive stocks.
Steepening (Spread widening): A rising 10-year yield relative to the 2-year suggests economic expansion. Investors can benefit by shorting bonds (TBT) or investing in financial stocks (XLF). The Amundi US Curve Steepening 2-10Y ETF can be used to profit from this trend.
Monitoring the curve: Traders can track US10Y-US02Y on TradingView for real-time insights and adjust portfolios accordingly.
Percentage Based ZigZag█ OVERVIEW
The Percentage-Based ZigZag indicator is a custom technical analysis tool designed to highlight significant price reversals while filtering out market noise. Unlike many standard zigzag tools that rely solely on fixed price moves or generic trend-following methods, this indicator uses a configurable percentage threshold to dynamically determine meaningful pivot points. This approach not only adapts to different market conditions but also helps traders distinguish between minor fluctuations and truly significant trend shifts—whether scalping on shorter timeframes or analyzing longer-term trends.
█ KEY FEATURES & ORIGINALITY
Dynamic Pivot Detection
The indicator identifies pivot points by measuring the percentage change from the previous extreme (high or low). Only when this change exceeds a user-defined threshold is a new pivot recognized. This method ensures that only substantial moves are considered, making the indicator robust in volatile or noisy markets.
Enhanced ZigZag Visualization
By connecting significant highs and lows with a continuous line, the indicator creates a clear visual map of price swings. Each pivot point is labelled with the corresponding price and the percentage change from the previous pivot, providing immediate quantitative insight into the magnitude of the move.
Trend Reversal Projections
In addition to marking completed reversals, the script computes and displays potential future reversal points based on the current trend’s momentum. This forecasting element gives traders an advanced look at possible turning points, which can be particularly useful for short-term scalping strategies.
Customizable Visual Settings
Users can tailor the appearance by:
• Setting the percentage threshold to control sensitivity.
• Customizing colors for bullish (e.g., green) and bearish (e.g., red) reversals.
• Enabling optional background color changes that visually indicate the prevailing trend.
█ UNDERLYING METHODOLOGY & CALCULATIONS
Percentage-Based Filtering
The script continuously monitors price action and calculates the relative percentage change from the last identified pivot. A new pivot is confirmed only when the price moves a preset percentage away from this pivot, ensuring that minor fluctuations do not trigger false signals.
Pivot Point Logic
The indicator tracks the highest high and the lowest low since the last pivot. When the price reverses by the required percentage from these extremes, the algorithm:
1 — Labels the point as a significant high or low.
2 — Draws a connecting line from the previous pivot to the current one.
3 — Resets the extreme-tracking for detecting the next move.
Real-Time Reversal Estimation
Building on traditional zigzag methods, the script incorporates a projection calculation. By analyzing the current trend’s strength and recent percentage moves, it estimates where a future reversal might occur, offering traders actionable foresight.
█ HOW TO USE THE INDICATOR
1 — Apply the Indicator
• Add the Percentage-Based ZigZag indicator to your trading chart.
2 — Adjust Settings for Your Market
• Percentage Move – Set a threshold that matches your trading style:
- Lower values for sensitive, high-frequency analysis (ideal for scalping).
- Higher values for filtering out noise on longer timeframes.
• Visual Customization – Choose your preferred colors for bullish and bearish signals and enable background color changes for visual trend cues.
• Reversal Projection – Enable or disable the projection feature to display potential upcoming reversal points.
3 — Interpret the Signals
• ZigZag Lines – White lines trace significant high-to-low or low-to-high movements, visually connecting key swing points.
• Pivot Labels – Each pivot is annotated with the exact price level and percentage change, providing quantitative insight into market momentum.
• Trend Projections – When enabled, projected reversal levels offer insight into where the current trend might change.
4 — Integrate with Your Trading Strategy
• Use the indicator to identify support and resistance zones derived from significant pivots.
• Combine the quantitative data (percentage changes) with your risk management strategy to set optimal stop-loss and take-profit levels.
• Experiment with different threshold settings to adapt the indicator for various instruments or market conditions.
█ CONCLUSION
The Percentage-Based ZigZag indicator goes beyond traditional trend-following tools by filtering out market noise and providing clear, quantifiable insights into price action. With its percentage threshold for pivot detection and real-time reversal projections, this original methodology and customizable feature set offer traders a versatile edge for making informed trading decisions.
Wave Modulation Demo█ OVERVIEW
This script demonstrates Stacked Wave Modulation by visualizing four interconnected waves. Wave 1 is the base wave, influencing Wave 2's frequency, which in turn modulates Wave 3's amplitude, and finally, Wave 3 modulates Wave 4's phase. Explore the fascinating effects of wave modulation by adjusting the inputs for each wave and their modulation scales.
══════════════════════════════════════════════════
█ CONCEPTS
This script visualizes a cascade of wave modulations:
1 — Base Wave (Wave 1): This is the foundational wave. Its parameters (type, frequency, amplitude, phase, vertical shift) are directly controlled and serve as the basis for subsequent modulations.
2 — Frequency Modulation (Wave 2): Wave 2's frequency is modulated by Wave 1 . As Wave 1 oscillates, it dynamically changes the frequency of Wave 2 , creating interesting frequency variations. The Frequency Mod Scale input controls the intensity of this modulation.
3 — Amplitude Modulation (Wave 3): Building upon the cascade, Wave 3 's amplitude is modulated by Wave 2 . The peaks and troughs of Wave 2 influence the amplitude of Wave 3 , resulting in amplitude variations. The Amplitude Mod Scale input adjusts the strength of this amplitude modulation.
4 — Phase Modulation (Wave 4): Finally, Wave 4 's phase is modulated by Wave 3 . Wave 3 's oscillations shift the phase of Wave 4 , leading to phase-related distortions and dynamic wave patterns. The Phase Mod Scale input determines the extent of phase modulation.
5 — Stacked Wave (Average): The script calculates and plots the average of all four waves, providing a composite view of the combined modulation effects.
══════════════════════════════════════════════════
█ FEATURES
The script is organized into input groups for each wave, allowing for detailed customization:
1 — Wave 1: Base Wave
• Type : Select the waveform type for Wave 1 (Sine, Cosine, Triangle, Square).
• Frequency (Hz) : Sets the base frequency of Wave 1 in Hertz (cycles per second).
• Amplitude : Controls the vertical amplitude or height of Wave 1.
• Phase Shift (deg) : Adjusts the phase shift of Wave 1 in degrees, shifting the wave horizontally.
• Vertical Shift : Sets the vertical position of Wave 1 on the chart.
2 — Wave 2: Frequency Modulation
• Type : Select the waveform type for Wave 2.
• Base Frequency (Hz) : Sets the base frequency of Wave 2, before modulation.
• Amplitude : Controls the amplitude of Wave 2.
• Phase Shift (deg) : Adjusts the phase shift of Wave 2.
• Vertical Shift : Sets the vertical position of Wave 2.
• Frequency Mod Scale : Determines the degree to which Wave 1 modulates Wave 2's frequency. Higher values increase the modulation effect.
3 — Wave 3: Amplitude Modulation
• Type : Select the waveform type for Wave 3.
• Base Frequency (Hz) : Sets the base frequency of Wave 3.
• Amplitude : Controls the base amplitude of Wave 3, before modulation.
• Phase Shift (deg) : Adjusts the phase shift of Wave 3.
• Vertical Shift : Sets the vertical position of Wave 3.
• Amplitude Mod Scale : Determines the degree to which Wave 2 modulates Wave 3's amplitude. Higher values increase the modulation effect.
4 — Wave 4: Phase Modulation
• Type : Select the waveform type for Wave 4.
• Base Frequency (Hz) : Sets the base frequency of Wave 4.
• Amplitude : Controls the amplitude of Wave 4.
• Phase Shift (deg) : Sets the base phase shift of Wave 4, before modulation.
• Vertical Shift : Sets the vertical position of Wave 4.
• Phase Mod Scale : Determines the degree to which Wave 3 modulates Wave 4's phase. Higher values increase the modulation effect.
══════════════════════════════════════════════════
█ HOW TO USE
1. Add the "Stacked Wave Modulation Demo" script to your TradingView chart.
2. Explore the input settings. Each wave has its own group of customizable parameters.
3. Adjust the Type , Frequency , Amplitude , Phase Shift , and Vertical Shift for each wave to define their base characteristics.
4. Experiment with the modulation scales ( Frequency Mod Scale , Amplitude Mod Scale , Phase Mod Scale ) to control the intensity of the modulation effects between the waves.
5. Observe how the waves interact and how the modulations shape their forms and the final stacked wave (average).
══════════════════════════════════════════════════
█ NOTES
* This script utilizes the `waves` and `hsvColor` libraries. Look for other scripts on my profile.
* The frequencies are set in Hertz (cycles per second), which relate to bars on the chart. A frequency of 0.5 Hz means 0.5 cycles per bar, or 1 cycle every 2 bars.
* Adjusting the modulation scales allows you to fine-tune the visual impact of the modulation effects.
* The color of each wave plot is dynamically generated based on its value using the HSV color model for visual distinction.
* Feel free to modify and experiment with the script to create different modulation schemes or stacking methods.
Let me know if you have any other questions or would like further refinements!
Volume Trend Signals | iSolani
Volume Trend Signals | iSolani: Syncing Price Momentum with Volume Confirmation
In the dance between price action and volume, discerning true trend commitment requires seeing how institutional players vote with their capital. The Volume Trend Signals | iSolani illuminates this interplay by generating precise crossover signals when volume-accelerated price movements gain sustained traction. Unlike conventional volume oscillators, it employs a two-layered confirmation system —blending volatility-adjusted thresholds with adaptive smoothing—to spotlight high-probability entries aligned with smart-money activity.
Core Methodology
The indicator executes a five-phase process to filter meaningful trends:
Logarithmic Price Scaling: Measures percentage-based price changes via HLC3 typical price, reducing large-value bias in volatile markets.
Volatility Dynamic Filter: Uses a 30-bar standard deviation of price changes, scaled by user sensitivity (default 2x), to set momentum thresholds.
Volume Governance: Caps raw volume at 3x its 40-bar SMA, neutralizing outlier spikes while preserving institutional footprints.
Directional Flow Accumulation: Sums volume as positive/negative based on whether price movement breaches volatility-derived boundaries.
Signal Refinement: Smooths the Volume Flow Indicator (VFI) with a 3-bar SMA, then triggers alerts via crosses over a 20-bar EMA signal line.
Breaking New Ground
This tool introduces three evolutionary improvements over traditional volume indicators:
EMA Convergence Signals: Unlike basic zero-cross systems, it requires VFI to overtake its own EMA, confirming sustained momentum shifts.
Context-Aware Volume: The 3x volume cap adapts to current market activity, preventing false signals during news-driven liquidity spikes.
Minimalist Visual Alerts: Uses and symbols below/above candles, reducing chart clutter while emphasizing pivotal moments.
Engine Under the Hood
The script’s logic flows through four computational stages:
Data Conditioning: Computes HLC3 and its log-based rate of change for normalized price analysis.
Threshold Calibration: Derives dynamic entry/exit levels from 30-period volatility multiplied by user sensitivity.
Volume Processing: Filters and signs volume based on price meeting threshold criteria.
Signal Generation: Triggers buy/sell labels when the 3-bar SMA of cumulative flow crosses the 20-bar EMA.
Standard Configuration
Optimized defaults balance responsiveness and reliability:
VFI Length: 40-bar accumulation window
Sensitivity: 2.0 (double the volatility-derived threshold)
Signal Smoothing: 20-bar EMA
Volume Cap: 3x average (hidden parameter)
Smoothing: Enabled (3-bar SMA on VFI)
By fusing adaptive volume filtering with EMA-confirmed momentum, the Volume Trend Signals | iSolani cuts through market noise to reveal institutional-grade trend inflection points. Its unique crossover logic—prioritizing confirmation over speed—makes it particularly effective in swing trading and trend-following strategies across equities, commodities, and forex markets.
Crypto Scanner v4This guide explains a version 6 Pine Script that scans a user-provided list of cryptocurrency tokens to identify high probability tradable opportunities using several technical indicators. The script combines trend, momentum, and volume-based analyses to generate potential buying or selling signals, and it displays the results in a neatly formatted table with alerts for trading setups. Below is a detailed walkthrough of the script’s design, how traders can interpret its outputs, and recommendations for optimizing indicator inputs across different timeframes.
## Overview and Key Components
The script is designed to help traders assess multiple tokens by calculating several indicators for each one. The key components include:
- **Input Settings:**
- A comma-separated list of symbols to scan.
- Adjustable parameters for technical indicators such as ADX, RSI, MFI, and a custom Wave Trend indicator.
- Options to enable alerts and set update frequencies.
- **Indicator Calculations:**
- **ADX (Average Directional Index):** Measures trend strength. A value above the provided threshold indicates a strong trend, which is essential for validating momentum before entering a trade.
- **RSI (Relative Strength Index):** Helps determine overbought or oversold conditions. When the RSI is below the oversold level, it may present a buying opportunity, while an overbought condition (not explicitly part of this setup) could suggest selling.
- **MFI (Money Flow Index):** Similar in concept to RSI but incorporates volume, thus assessing buying and selling pressure. Values below the designated oversold threshold indicate potential undervaluation.
- **Wave Trend:** A custom indicator that calculates two components (WT1 and WT2); a crossover where WT1 moves from below to above WT2 (particularly near oversold levels) may signal a reversal and a potential entry point.
- **Scanning and Trading Zone:**
- The script identifies a *bullish setup* when the following conditions are met for a token:
- ADX exceeds the threshold (strong trend).
- Both RSI and MFI are below their oversold levels (indicating potential buying opportunities).
- A Wave Trend crossover confirms near-term reversal dynamics.
- A *trading zone* condition is also defined by specific ranges for ADX, RSI, MFI, and a limited difference between WT1 and WT2. This zone suggests that the token might be in a consolidation phase where even small moves may be significant.
- **Alerts and Table Reporting:**
- A table is generated, with each row corresponding to a token. The table contains columns for the symbol, ADX, RSI, MFI, WT1, WT2, and the trading zone status.
- Visual cues—such as different background colors—highlight tokens with a bullish setup or that are within the trading zone.
- Alerts are issued based on the detection of a bullish setup or entry into a trading zone. These alerts are limited per bar to avoid flooding the trader with notifications.
## How to Interpret the Indicator Outputs
Traders should use the indicator values as guidance, verifying them against their own analysis before making any trading decision. Here’s how to assess each output:
- **ADX:**
- **High values (above threshold):** Indicate strong trends. If other indicators confirm an oversold condition, a trader may consider a long position for a corrective reversal.
- **Low values:** Suggest that the market is not trending strongly, and caution should be taken when considering entry.
- **RSI and MFI:**
- **Below oversold levels:** These conditions are traditionally seen as signals that an asset is undervalued, potentially triggering a bounce.
- **Above typical resistance levels (not explicitly used here):** Would normally caution a trader against entering a long position.
- **Wave Trend (WT1 and WT2):**
- A crossover where WT1 moves upward above WT2 in an oversold environment can signal the beginning of a recovery or reversal, thereby reinforcing buy signals.
- **Trading Zone:**
- Being “in zone” means that the asset’s current values for ADX, RSI, MFI, and the closeness of the Wave Trend lines indicate a period of consolidation. This scenario might be suitable for both short-term scalping or as an early exit indicator, depending on further market analysis.
## Timeframe Optimization Input Table
Traders can optimize indicator inputs depending on the timeframe they use. The following table provides a set of recommended input values for various timeframes. These values are suggestions and should be adjusted based on market conditions and individual trading styles.
Timeframe ADX RSI MFI ADX RSI MFI WT Channel WT Average
5-min 10 10 10 20 30 20 7 15
15-min 12 12 12 22 30 20 9 18
1-hour 14 14 14 25 30 20 10 21
4-hour 16 16 16 27 30 20 12 24
1-day 18 18 18 30 30 20 14 28
Adjust these parameters directly in the script’s input settings to match the selected timeframe. For shorter timeframes (e.g., 5-min or 15-min), the shorter lengths help filter high-frequency noise. For longer timeframes (e.g., 1-day), longer input values may reduce false signals and capture more significant trends.
## Best Practices and Usage Tips
- **Token Limit:**
- Limit the number of tokens scanned to 10 per query line. If you need to scan more tokens, initiate a new query line. This helps manage screen real estate and ensures the table remains legible.
- **Confirming Signals:**
- Use this script as a starting point for identifying high potential trades. Each indicator’s output should be used to confirm your trading decision. Always cross-reference with additional technical analysis tools or market context.
- **Regular Review:**
- Since the script updates the table every few bars (as defined by the update frequency), review the table and alerts regularly. Market conditions change rapidly, so timely decisions are crucial.
## Conclusion
This Pine Script provides a comprehensive approach for scanning multiple cryptocurrencies using a combination of trend strength (ADX), momentum (RSI and MFI), and reversal signals (Wave Trend). By using the provided recommendation table for different timeframes and limiting the tokens to 20 per query line (with a maximum of four query lines), traders can streamline their scanning process and more effectively identify high probability tradable tokens. Ultimately, the outputs should be critically evaluated and combined with additional market research before executing any trades.
On-chain Zscore | QuantumResearchQuantumResearch On-chain Zscore Indicator
The On-chain Zscore Indicator by QuantumResearch is a cutting-edge tool designed for traders and analysts who leverage on-chain metrics to assess Bitcoin’s market conditions. This indicator calculates a composite Z-score using three key on-chain metrics: NUPL (Net Unrealized Profit/Loss), SOPR (Spent Output Profit Ratio), and MVRV (Market Value to Realized Value). By normalizing these values through standard deviations, the indicator provides a dynamic, data-driven approach to identifying overbought and oversold conditions, improving market timing and decision-making.
1. Overview
This indicator integrates multiple on-chain metrics to:
Assess Market Cycles – Utilize Z-score normalization to detect potential tops and bottoms.
Smooth Volatility – Apply EMA and standard deviation filtering to refine signals.
Identify Buy & Sell Signals – Use adaptive thresholds to highlight market extremes.
Provide Visual Clarity – Color-coded bar signals and background fills for intuitive analysis.
2. How It Works
A. Z-score Calculation
What is a Z-score? – The Z-score measures how far a data point deviates from its historical mean in terms of standard deviations. This helps in identifying statistical extremes.
Zscore(source,mean,std)=>
zscore = (source-mean)/std
zscore
Standard Deviation Normalization – Each on-chain metric (NUPL, SOPR, MVRV) is individually standardized before being combined into a final score.
B. On-Chain Components
NUPL Z-score – Measures unrealized profits and losses relative to market cycles.
SOPR Z-score – Evaluates profit-taking behavior on spent outputs.
MVRV Z-score – Assesses whether Bitcoin is overvalued or undervalued based on market cap vs. realized cap.
C. Composite On-chain Score
The indicator computes an average Z-score of the three on-chain metrics to create a composite market assessment.
Adaptive thresholds (default: 0.73 for bullish signals, -0.44 for bearish signals) dynamically adjust based on market conditions.
3. Visual Representation
This indicator features color-coded elements and dynamic threshold visualization:
Bar Colors
Green Bars – Bullish conditions when Z-score exceeds the upper threshold.
Red Bars – Bearish conditions when Z-score drops below the lower threshold.
Gray Bars – Neutral market conditions.
Threshold Bands & Background Fill
Upper Band (Overbought) – Default threshold set at 0.73.
Middle Band – Neutral zone at 0.
Lower Band (Oversold) – Default threshold set at -0.44.
4. Customization & Parameters
This indicator is highly configurable, allowing traders to fine-tune settings based on their strategy:
On-Chain Z-score Settings
NUPL Z-score Length – Default: 126 periods
SOPR Z-score Length – Default: 111 periods
MVRV Z-score Length – Default: 111 periods
Signal Thresholds
Upper Threshold (Bullish Zone) – Default: 0.73
Lower Threshold (Bearish Zone) – Default: -0.44
Color & Visual Settings
Choose from eight customizable color modes to suit personal preferences.
5. Trading Applications
The On-chain Zscore Indicator is versatile and can be applied in various market scenarios:
Macro Trend Analysis – Identify long-term market tops and bottoms using normalized on-chain metrics.
Momentum Confirmation – Validate price action trends with SOPR & MVRV behavior.
Market Timing – Use deviation thresholds to enter at historically significant price zones.
Risk Management – Avoid overextended markets by watching for extreme Z-score readings.
6. Final Thoughts
The QuantumResearch On-chain Zscore Indicator provides a unique approach to market evaluation by combining three critical on-chain metrics into a single, normalized score.
By standardizing Bitcoin’s market behavior, this tool helps traders and investors make informed decisions based on historical statistical extremes.
Backtesting and validation are essential before using this indicator in live trading. While it enhances market analysis, it should be used alongside other tools and strategies.
Disclaimer: No indicator can guarantee future performance. Always use appropriate risk management and perform due diligence before trading.
Fibonacci Cycle Finder🟩 Fibonacci Cycle Finder is an indicator designed to explore Fibonacci-based waves and cycles through visualization and experimentation, introducing a trigonometric approach to market structure analysis. Unlike traditional Fibonacci tools that rely on static horizontal levels, this indicator incorporates the dynamic nature of market cycles, using adjustable wavelength, phase, and amplitude settings to visualize the rhythm of price movements. By applying a sine function, it provides a structured way to examine Fibonacci relationships in a non-linear context.
Fibonacci Cycle Finder unifies Fibonacci principles with a wave-based method by employing adjustable parameters to align each wave with real-time price action. By default, the wave begins with minimal curvature, preserving the structural familiarity of horizontal Fibonacci retracements. By adjusting the input parameters, the wave can subtly transition from a horizontal line to a more pronounced cycle,visualizing cyclical structures within price movement. This projective structure extends potential cyclical outlines on the chart, opening deeper exploration of how Fibonacci relationships may emerge over time.
Fibonacci Cycle Finder further underscores a non-linear representation of price by illustrating how wave-based logic can uncover shifts that are missed by static retracement tools. Rather than imposing immediate oscillatory behavior, the indicator encourages a progressive approach, where the parameters may be incrementally modified to align wave structures with observed price action. This refinement process deepens the exploration of Fibonacci relationships, offering a systematic way to experiment with non-linear price dynamics. In doing so, it revisits fundamental Fibonacci concepts, demonstrating their broader adaptability beyond fixed horizontal retracements.
🌀 THEORY & CONCEPT 🌀
What if Fibonacci relationships could be visualized as dynamic waves rather than confined to fixed horizontal levels? Fibonacci Cycle Finder introduces a trigonometric approach to market structure analysis, offering a different perspective on Fibonacci-based cycles. This tool provides a way to visualize market fluctuations through cyclical wave motion, opening the door to further exploration of Fibonacci’s role in non-linear price behavior.
Traditional Fibonacci tools, such as retracements and extensions, have long been used to identify potential support and resistance levels. While valuable for analyzing price trends, these tools assume linear price movement and rely on static horizontal levels. However, market fluctuations often exhibit cyclical tendencies , where price follows natural wave-like structures rather than strictly adhering to fixed retracement points. Although Fibonacci-based tools such as arcs, fans, and time zones attempt to address these patterns, they primarily apply geometric projections. The Fibonacci Cycle Finder takes a different approach by mapping Fibonacci ratios along structured wave cycles, aligning these relationships with the natural curvature of market movement rather than forcing them onto rigid price levels.
Rather than replacing traditional Fibonacci methods, the Fibonacci Cycle Finder supplements existing Fibonacci theory by introducing an exploratory approach to price structure analysis. It encourages traders to experiment with how Fibonacci ratios interact with cyclical price structures, offering an additional layer of insight beyond static retracements and extensions. This approach allows Fibonacci levels to be examined beyond their traditional static form, providing deeper insights into market fluctuations.
📊 FIBONACCI WAVE IMPLEMENTATION 📊
The Fibonacci Cycle Finder uses two user-defined swing points, A and B, as the foundation for projecting these Fibonacci waves. It first establishes standard horizontal levels that correspond to traditional Fibonacci retracements, ensuring a baseline reference before wave adjustments are applied. By default, the wave is intentionally subtle— Wavelength is set to 1 , Amplitude is set to 1 , and Phase is set to 0 . In other words, the wave starts as “stretched out.” This allows a slow, measured start, encouraging users to refine parameters incrementally rather than producing abrupt oscillations. As these parameters are increased, the wave takes on more distinct sine and cosine characteristics, offering a flexible approach to exploring Fibonacci-based cyclicity within price action.
Three parameters control the shape of the Fibonacci wave:
1️⃣ Wavelength Controls the horizontal spacing of the wave along the time axis, determining the length of one full cycle from peak to peak (or trough to trough). In this indicator, Wavelength acts as a scaling input that adjusts how far the wave extends across time, rather than a strict mathematical “wavelength.” Lower values further stretch the wave, increasing the spacing between oscillations, while higher values compress it into a more frequent cycle. Each full cycle is divided into four quarter-cycle segments, a deliberate design choice to minimize curvature by default. This allows for subtle oscillations and smoother transitions, preventing excessive distortion while maintaining flexibility in wave projections. The wavelength is calculated relative to the A-B swing, ensuring that its scale adapts dynamically to the selected price range.
2️⃣ Amplitude Defines the vertical displacement of the wave relative to the baseline Fibonacci level. Higher values increase the height of oscillations, while lower values reduce the height, Negative values will invert the wave’s initial direction. The amplitude is dynamically applied in relation to the A-B swing direction, ensuring that an upward swing results in upward oscillations and a downward swing results in downward oscillations.
3️⃣ Phase Shifts the wave’s starting position along its cycle, adjusting alignment relative to the swing points. A phase of 0 aligns with a sine wave, where the cycle starts at zero and rises. A phase of 25 aligns with a cosine wave, starting at a peak and descending. A phase of 50 inverts the sine wave, beginning at zero but falling first, while a phase of 75 aligns with an inverted cosine , starting at a trough and rising. Intermediate values between these phases create gradual shifts in wave positioning, allowing for finer alignment with observed market structures.
By fine-tuning these parameters, users can adapt Fibonacci waves to better reflect observed market behaviors. The wave structure integrates with price movements rather than simply overlaying static levels, allowing for a more dynamic representation of cyclical price tendencies. This indicator serves as an exploratory tool for understanding potential market rhythms, encouraging traders to test and visualize how Fibonacci principles extend beyond their traditional applications.
🖼️ CHART EXAMPLES 🖼️
Following this downtrend, price interacts with curved Fibonacci levels, highlighting resistance at the 0.236 and 0.382 levels, where price stalls before pulling back. Support emerges at the 0.5, 0.618, and 0.786 levels, where price finds stability and rebounds
In this Fibonacci retracement, price initially finds support at the 1.0 level, following the natural curvature of the cycle. Resistance forms at 0.786, leading to a pullback before price breaks through and tests 0.618 as resistance. Once 0.618 is breached, price moves upward to test 0.5, illustrating how Fibonacci-based cycles may align with evolving market structure beyond static, horizontal retracements.
Following this uptrend, price retraces downward and interacts with the Fibonacci levels, demonstrating both support and resistance at key levels such as 0.236, 0.382, 0.5, and 0.618.
With only the 0.5 and 1.0 levels enabled, this chart remains uncluttered while still highlighting key price interactions. The short cycle length results in a mild curvature, aligning smoothly with market movement. Price finds resistance at the 0.5 level while showing strong support at 1.0, which follows the natural flow of the market. Keeping the focus on fewer levels helps maintain clarity while still capturing how price reacts within the cycle.
🛠️ CONFIGURATION AND SETTINGS 🛠️
Wave Parameters
Wavelength : Stretches or compresses the wave along the time axis, determining the length of one full cycle. Higher values extend the wave across more bars, while lower values compress it into a shorter time frame.
Amplitude : Expands or contracts the wave along the price axis, determining the height of oscillations relative to Fibonacci levels. Higher values increase the vertical range, while negative values invert the wave’s initial direction.
Phase : Offsets the wave along the time axis, adjusting where the cycle begins. Higher values shift the starting position forward within the wave pattern.
Fibonacci Levels
Levels : Enable or disable specific Fibonacci levels (0.0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0) to focus on relevant price zones.
Color : Modify level colors for enhanced visual clarity.
Visibility
Trend Line/Color : Toggle and customize the trend line connecting swing points A and B.
Setup Lines : Show or hide lines linking Fibonacci levels to projected waves.
A/B Labels Visibility : Control the visibility of swing point labels.
Left/Right Labels : Manage the display of Fibonacci level labels on both sides of the chart.
Fill % : Adjust shading intensity between Fibonacci levels (0% = no fill, 100% = maximum fill).
A and B Points (Time/Price):
These user-defined anchor points serve as the basis for Fibonacci wave calculations and can be manually set. A and B points can also be adjusted directly on the chart, with automatic synchronization to the settings panel, allowing for seamless modifications without needing to manually input values.
⚠️ DISCLAIMER ⚠️
The Fibonacci Cycle Finder is a visual analysis tool designed to illustrate Fibonacci relationships and serve as a supplement to traditional Fibonacci tools. While the indicator employs mathematical and geometric principles, no guarantee is made that its calculations will align with other Fibonacci tools or proprietary methods. Like all technical and visual indicators, the Fibonacci levels generated by this tool may appear to visually align with key price zones in hindsight. However, these levels are not intended as standalone signals for trading decisions. This indicator is intended for educational and analytical purposes, complementing other tools and methods of market analysis.
🧠 BEYOND THE CODE 🧠
Fibonacci Cycle Finder is the latest indicator in the Fibonacci Geometry Series. Building on the concepts of the Fibonacci Time-Price Zones and the Fibonacci 3-D indicators, this tool introduces a trigonometric approach to market structure analysis.
The Fibonacci Cycle Finder indicator, like other xxattaxx indicators , is designed to encourage both education and community engagement. Your feedback and insights are invaluable to refining and enhancing the Fibonacci Cycle Finder indicator. We look forward to the creative applications, observations, and discussions this tool inspires within the trading community.
Whale Supertrend (V1.2)The script "Whale Supertrend (V1.2)" is an advanced trend indicator that uses multiple Supertrends with different factors to determine entry and exit points in the market. The Supertrend is a popular indicator that combines price and volatility to help identify trend direction. The script displays buy and sell signals based on the confluence of Supertrends.
How the script works
Configuring Supertrends
The script configures six Supertrends with different factors (factor, factor1, factor2, factor3, factor4, factor5) while using the same ATR period (atrPeriod = 10).
Supertrend 1: factor = 3
Supertrend 2: factor1 = 4
Supertrend 3: factor2 = 6
Supertrend 4: factor3 = 9
Supertrend 5: factor4 = 13
Supertrend 6: factor5 = 18
For each Supertrend, the bullish (blue) and bearish (purple) trend conditions are plotted on the chart.
Signal Calculation
The script calculates the number of Supertrends in bullish and bearish trend:
bullishCount: Number of Supertrends indicating a bullish trend.
bearishCount: Number of Supertrends indicating a bearish trend.
Signal Detection
The script triggers a buy or sell signal when at least three of the six Supertrends indicate the same trend:
Buy Signal (buySignal): Triggers when bullishCount is greater than or equal to 3.
Sell Signal (sellSignal): Triggers when bearishCount is greater than or equal to 3.
To avoid repetition, signals are only displayed when the state changes:
triggerBuy: Buy signal only when buySignal becomes true for the first time.
triggerSell: Sell signal only when sellSignal becomes true for the first time.
Candle Coloring:
Candles now change color based on signals:
Green: When a Buy Signal is active.
Red: When a Sell Signal is active.
This provides a clearer visualization of market trends directly on the chart.
Dynamic Settings for Supertrends:
You can customize the ATR Period and Factor for each of the 6 Supertrends via the settings panel.
Each Supertrend has independent parameters:
ATR Period: Controls the ATR calculation period.
Factor: Adjusts the Supertrend sensitivity.
Benefits:
Enhanced Readability: Candle colors help identify buy and sell zones at a glance.
Greater Customization: Tailor Supertrend settings to your trading strategy or market conditions.
Bracket IndicatorThis is an indicator that shows tick target above and below the chart. Allows for visualizing continual bracket target moving with price before getting into trade.
So, for example, if you are watching price and wanting to target 10 points above or below. You can set this bracket indicator on the chart and you will be able to in real time see 10 points above/below the current price.
