Volatility Cycle IndicatorThe Volatility Cycle Indicator is a non-directional trading tool designed to measure market volatility and cycles based on the relationship between standard deviation and Average True Range (ATR). In the Chart GBPAUD 1H time frame you can clearly see when volatility is low, market is ranging and when volatility is high market is expanding.
This innovative approach normalizes the standard deviation of closing prices by ATR, providing a dynamic perspective on volatility. By analyzing the interaction between Bollinger Bands and Keltner Channels, it also detects "squeeze" conditions, highlighting periods of reduced volatility, often preceding explosive price movements.
The indicator further features visual aids, including colored zones, plotted volatility cycles, and highlighted horizontal levels to interpret market conditions effectively. Alerts for key events, such as volatility crossing significant thresholds or entering a squeeze, make it an ideal tool for proactive trading.
Key Features:
Volatility Measurement:
Tracks the Volatility Cycle, normalized using standard deviation and ATR.
Helps identify periods of high and low volatility in the market.
Volatility Zones:
Colored zones represent varying levels of market volatility:
Blue Zone: Low volatility (0.5โ0.75).
Orange Zone: Transition phase (0.75โ1.0).
Green Zone: Moderate volatility (1.0โ1.5).
Fuchsia Zone: High volatility (1.5โ2.0).
Red Zone: Extreme volatility (>2.0).
Squeeze Detection:
Identifies when Bollinger Bands contract within Keltner Channels, signaling a volatility squeeze.
Alerts are triggered for potential breakout opportunities.
Visual Enhancements:
Dynamic coloring of the Volatility Cycle for clarity on its momentum and direction.
Plots multiple horizontal levels for actionable insights into market conditions.
Alerts:
Sends alerts when the Volatility Cycle crosses significant levels (e.g., 0.75) or when a squeeze condition is detected.
Non-Directional Nature:
The indicator does not predict the market's direction but rather highlights periods of potential movement, making it suitable for both trend-following and mean-reversion strategies.
How to Trade with This Indicator:
Volatility Squeeze Breakout:
When the indicator identifies a squeeze (volatility compression), prepare for a breakout in either direction.
Use additional directional indicators or chart patterns to determine the likely breakout direction.
Crossing Volatility Levels:
Pay attention to when the Volatility Cycle crosses the 0.75 level:
Crossing above 0.75 indicates increasing volatilityโideal for trend-following strategies.
Crossing below 0.75 signals decreasing volatilityโconsider mean-reversion strategies.
Volatility Zones:
Enter positions as volatility transitions through key zones:
Low volatility (Blue Zone): Watch for breakout setups.
Extreme volatility (Red Zone): Be cautious of overextended moves or reversals.
Alerts for Proactive Trading:
Configure alerts for squeeze conditions and level crossings to stay updated without constant monitoring.
Best Practices:
Pair the Volatility Cycle Indicator with directional indicators such as moving averages, trendlines, or momentum oscillators to improve trade accuracy.
Use on multiple timeframes to align entries with broader market trends.
Combine with risk management techniques, such as ATR-based stop losses, to handle volatility spikes effectively.
Search in scripts for "Cycle"
Hodrick-Prescott Cycle Component (YavuzAkbay)The Hodrick-Prescott Cycle Component indicator in Pine Scriptโข is an advanced tool that helps traders isolate and analyze the cyclical deviations in asset prices from their underlying trend. This script calculates the cycle component of the price series using the Hodrick-Prescott (HP) filter, allowing traders to observe and interpret the short-term price movements around the long-term trend. By providing two viewsโPercentage and Price Differenceโthis indicator gives flexibility in how these cyclical movements are visualized and interpreted.
What This Script Does
This indicator focuses exclusively on the cycle component of the price, which is the deviation of the current price from the long-term trend calculated by the HP filter. This deviation (or "cycle") is what traders analyze for mean-reversion opportunities and overbought/oversold conditions. The script allows users to see this deviation in two ways:
Percentage Difference: Shows the deviation as a percentage of the trend, giving a normalized view of the priceโs distance from its trend component.
Price Difference: Shows the deviation in absolute price terms, reflecting how many price units the price is above or below the trend.
How It Works
Trend Component Calculation with the HP Filter: Using the HP filter, the script isolates the trend component of the price. The smoothness of this trend is controlled by the smoothness parameter (ฮป), which can be adjusted by the user. A higher ฮป value results in a smoother trend, while a lower ฮป value makes it more responsive to short-term changes.
Cycle Component Calculation: Percentage Deviation (cycle_pct) calculated as the difference between the current price and the trend, divided by the trend, and then multiplied by 100. This metric shows how far the price deviates from the trend in relative terms. Price Difference (cycle_price) simply the difference between the current price and the trend component, displaying the deviation in absolute price units.
Conditional Plotting: The user can choose to view the cycle component as either a percentage or a price difference by selecting the Display Mode input. The indicator will plot the chosen mode in a separate pane, helping traders focus on the preferred measure of deviation.
How to Use This Indicator
Identify Overbought/Oversold Conditions: When the cycle component deviates significantly from the zero line (shown with a dashed horizontal line), it may indicate overbought or oversold conditions. For instance, a high positive cycle component suggests the price may be overbought relative to the trend, while a large negative cycle suggests potential oversold conditions.
Mean-Reversion Strategy: In mean-reverting markets, traders can use this indicator to spot potential reversal points. For example, if the cycle component shows an extreme deviation from zero, it could signal that the price is likely to revert to the trend. This can help traders with entry and exit points when the asset is expected to correct back toward its trend.
Trend Strength and Cycle Analysis: By comparing the magnitude and duration of deviations, traders can gauge the strength of cycles and assess if a new trend might be forming. If the cycle component remains consistently positive or negative, it may indicate a persistent market bias, even as prices fluctuate around the trend.
Percentage vs. Price Difference Views: Use the Percentage Difference mode to standardize deviations and compare across assets or different timeframes. This is especially helpful when analyzing assets with varying price levels. Use the Price Difference mode when an absolute deviation (price units) is more intuitive for spotting overbought/oversold levels based on the assetโs actual price.
Using with Hodrick-Prescott: You can also use Hodrick-Prescott, another indicator that I have adapted to the Tradingview platform, to see the trend on the chart, and you can also use this indicator to see how far the price is deviating from the trend. This gives you a multifaceted perspective on your trades.
Practical Tips for Traders
Set the Smoothness Parameter (ฮป): Adjust the ฮป parameter to match your trading timeframe and asset characteristics. Lower values make the trend more sensitive, which might suit short-term trading, while higher values smooth out the trend for long-term analysis.
Cycle Component as Confirmation: Combine this indicator with other momentum or trend indicators for confirmation of overbought/oversold signals. For example, use the cycle component with RSI or MACD to validate the likelihood of mean-reversion.
Observe Divergences: Divergences between price movements and the cycle component can indicate potential reversals. If the price hits a new high, but the cycle component shows a smaller deviation than previous highs, it could signal a weakening trend.
Rotation Cycles GraphRotation Cycles Graph Indicator
Overview:
The Rotation Cycles Graph Indicator is designed to visualize rotation cycles in financial markets. It aims to provide insights into shifts between various market phases, including growth, weakening, recovery, and contraction, allowing traders to potentially identify changing market dynamics.
Key Components:
Z-Score Calculation:
The indicator employs Z-score calculation to normalize data and identify deviations from the mean. This is instrumental in understanding the current state of the market relative to its historical behavior.
Ehlers Loop Visualization:
The Ehlers Loop function generates a visual representation of rotation cycles. It utilizes x and y coordinates on the chart to represent market conditions. These coordinates determine the position and categorization of the market state.
Table Visualization:
At the bottom of the chart, a table categorizes market conditions based on x and y values. This table serves as a reference to understand the current market phase.
Customizable Parameters:
The indicator offers users the flexibility to adjust several parameters:
Length and Smoothness: Users can set the length and smoothness parameters for the Z-score calculation, allowing for customization based on the market's volatility.
Graph Settings: Parameters such as bar scale, graph position, and the length of the tail for visualization can be fine-tuned to suit individual preferences.
Understanding Coordinates:
The x and y coordinates plotted on the chart represent specific market conditions. Interpretation of these coordinates aids in recognizing shifts in market behavior.
This screenshot shows visual representation behind logic of X and Y and their rotation cycles
Here is an example how rotation marker moved from growing to weakening and to the contraction quad, during a big market crush:
Note:
This indicator is a visualization tool and should be used in conjunction with other analytical methods for comprehensive market analysis.
Understanding the context and nuances of market dynamics is essential for accurate interpretation of the Rotation Cycles Graph Indicator.
Big thanks to @PineCodersTASC for their indicator, what I used as a reference
Cycle finder v1.0Watch this Morgan Stanley'(MS)'s almost perfect cycle!
This is Cycle finder v1.0.
This helps you to find cycle of your favorite stocks, commodities, forex and anything in real time.
Originally developed from scratch for tradingview.
How to use(in setting panel):
- Set up to 5 different cycle term.
- Set go back bars. *1
- Shift bars as you want to make use of cycle.
*1: This indicator compares X bar to X - (go back amount) bar to find cycle. Default: 2
*2: It wonโt work if there is not enough history.
*3: This may contains some bugs since I'm still working in progress to improve.
Please give it try for 1 week free.
Message me or reply to here to unlock your experience!
//โโโโโโ Japanese below
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CSI Cycle Swing MomentumAdaptive Ultra-Smooth Momentum (Cycle-Swing Indicator โ CSI)
The Cycle-Swing Indicator (CSI) is an advanced, adaptive momentum oscillator designed to extract clean, reliable signals from market data by focusing on the swing of the dominant market cycle rather than raw momentum. By identifying and aligning with the current dominant cycle, the CSI produces a momentum curve that is exceptionally smooth, responsive, and context-aware.
Key Advantages
The CSI offers several improvements over traditional momentum-based indicators:
Ultra-smooth signal line without sacrificing responsiveness
Zero-lag behavior, enabling timely entries and exits
Pronounced turning-point precision, enhancing signal clarity
Adaptive to real market cycles, automatically adjusting to changing conditions
Reliable deviation and divergence detection, even in noisy environments
Why Standard Indicators Fall Short
Conventional oscillators often struggle in real-world market conditions:
Excessive noise leads to frequent false signals.
Added smoothing reduces noise but introduces significant lag, delaying actionable insights.
Fixed-length parameters make indicators highly sensitive to user settingsโyou never truly know the "right" length.
The CSI solves all these challenges through its adaptive cyclic algorithm, which automatically aligns itself with the marketโs dominant cycleโno manual tuning required.
Practical Example
In the example chart, the CSI highlights clear turning points and deviations with far less noise than the standard momentum indicator, demonstrating its superior clarity and responsiveness.
How to Use
The CSI is fully adaptive and requires no parameters. Simply apply it to any symbol and timeframeโthe indicator automatically detects the dominant cycle and produces an ultra-smooth, cycle-aligned momentum curve.
Included features:
Adaptive upper and lower bands identifying extreme conditions
Automatic divergence detection (toggle on/off)
Works on any timeframe and any asset
Adaptive length - no input parameter required
How to Read the Indicator
The CSI functions similarly to a traditional momentum oscillator but with enhanced adaptive context:
Look for divergences between price and the CSI signal line โ powerful early warnings of weakening trends or impending shifts.
Note on Divergence Signals:
The divergence markers displayed on the chart are generated using embedded pivot-based detection. Because pivots must be confirmed by price action, divergence signals can only be plotted after a pivot forms. For real-time monitoring on the latest bar, users should watch for early-forming divergences as they develop, since confirmed pivot-based divergences will always appear with a slight delay. Script parameters are available for precise adjustment of pivot detection behaviour.
Info: Legacy vs. Pro Version
This is the actively maintained and continuously enhanced edition of my free, open-source indicator โCycle Swing Momentumโ. The Pro Version will remain fully up to date with the latest Pine Script standards and will receive ongoing refinements and feature improvements, all while preserving the core logic and intent of the original tool. The legacy version will continue to be available for code review and educational purposes, but it will no longer receive updates. The legacy open-source version is always available in the public TV indicator repository.
Paid script
CSI Cycle Swing Momentum Indicator ProAdaptive Ultra-Smooth Momentum (Cycle-Swing Indicator โ CSI)
The Cycle-Swing Indicator (CSI) is an advanced, adaptive momentum oscillator designed to extract clean, reliable signals from market data by focusing on the swing of the dominant market cycle rather than raw momentum. By identifying and aligning with the current dominant cycle, the CSI produces a momentum curve that is exceptionally smooth, responsive, and context-aware.
Key Advantages
The CSI offers several improvements over traditional momentum-based indicators:
Ultra-smooth signal line without sacrificing responsiveness
Zero-lag behavior, enabling timely entries and exits
Pronounced turning-point precision, enhancing signal clarity
Adaptive to real market cycles, automatically adjusting to changing conditions
Reliable deviation and divergence detection, even in noisy environments
Why Standard Indicators Fall Short
Conventional oscillators often struggle in real-world market conditions:
Excessive noise leads to frequent false signals.
Added smoothing reduces noise but introduces significant lag, delaying actionable insights.
Fixed-length parameters make indicators highly sensitive to user settingsโyou never truly know the "right" length.
The CSI solves all these challenges through its adaptive cyclic algorithm, which automatically aligns itself with the marketโs dominant cycleโno manual tuning required.
Practical Example
In the example chart, the CSI highlights clear turning points and deviations with far less noise than the standard momentum indicator, demonstrating its superior clarity and responsiveness.
How to Use
The CSI is fully adaptive and requires no parameters. Simply apply it to any symbol and timeframeโthe indicator automatically detects the dominant cycle and produces an ultra-smooth, cycle-aligned momentum curve.
Included features:
Adaptive upper and lower bands identifying extreme conditions
Automatic divergence detection (toggle on/off)
Works on any timeframe and any asset
Adaptive length - no input parameter required
How to Read the Indicator
The CSI functions similarly to a traditional momentum oscillator but with enhanced adaptive context:
Look for divergences between price and the CSI signal line โ powerful early warnings of weakening trends or impending shifts.
Note on Divergence Signals:
The divergence markers displayed on the chart are generated using embedded pivot-based detection. Because pivots must be confirmed by price action, divergence signals can only be plotted after a pivot forms. For real-time monitoring on the latest bar, users should watch for early-forming divergences as they develop, since confirmed pivot-based divergences will always appear with a slight delay. Script parameters are available for precise adjustment of pivot detection behaviour.
Info: Legacy vs. Pro Version
This is the actively maintained and continuously enhanced edition of my free, open-source indicator โCycle Swing Momentumโ. The Pro Version will remain fully up to date with the latest Pine Script standards and will receive ongoing refinements and feature improvements, all while preserving the core logic and intent of the original tool. The legacy version will continue to be available for code review and educational purposes, but it will no longer receive updates. The legacy open-source version is always available in the public TV indicator repository.
W%R Cycle Swings - MTF Trend๐ English Description
Overview
The W%R Cycle Swings โ MTF Trend indicator is a market-structure tool built on top of Williams %R cycle logic. It detects meaningful swing highs and lows from W%R behavior, then uses those swings to locate the first Market Structure Shift (MSS-first) and track multi-timeframe trend bias + cancel levels.
This is not a random mashup of indicators: all components are derived from one core conceptโW%R cyclesโand are combined into a single, coherent framework for reading structure and trend across timeframes.
Core Concepts
1. Williams %R Cycle Swings (Current Timeframe)
Instead of using price swings based only on highs/lows, this script uses Williams %R behavior to define swing points:
Swing High pattern: OS โ OB โ OS
Swing Low pattern: OB โ OS โ OB
The script:
Tracks overbought/oversold states using user-defined levels.
Builds a zone for each potential swing (accumulating the extremums during the OB/OS phase).
Confirms a swing only when the opposite state appears again.
Plots labels on the chart:
Swing High label above price
Swing Low label below price
Optional price display on the label (toggle in settings).
This makes the swing points cycle-based rather than purely bar-based.
2. MSS-first (Market Structure Shift on Current TF)
Once swings are defined, the script looks for the first break of the most recent swing:
Bullish MSS-first: price breaks above the last confirmed swing high.
Bearish MSS-first: price breaks below the last confirmed swing low.
You can choose whether to confirm by close or by wick (mssByClose input).
When an MSS-first is detected:
A colored label (bullish/bearish) is drawn at the relevant swing level.
A horizontal line is drawn from the swing bar to the MSS bar to visually connect the structure break.
Internal trendBias is updated to Up or Down, preventing duplicate MSS labels in the same direction.
This gives a clear, visual definition of when the structure actually shifted based on W%R-driven swings.
3. MTF MSS-first Trend & Cancel Logic
The same MSS-first concept is applied inside a function and called via request.security() on multiple timeframes (5m, 15m, 30m, 1h, 4h).
For each timeframe, the function:
Recalculates W%R swings with the same parameters.
Detects MSS-first events (bullish or bearish).
Tracks a trend state:
1 โ Up trend
-1 โ Down trend
0 โ Unknown / Neutral
Maintains a cancel level, which represents the price that would invalidate the current trend:
In an uptrend, cancel is typically the last relevant swing low.
In a downtrend, cancel is typically the last relevant swing high.
This provides:
Trend direction per TF (Up / Down / -)
A concrete price level that acts as a structural โstopโ or invalidation level.
4. MTF Trend Table (Visual Overview)
If enabled, a compact table is displayed on the chart (position configurable):
Columns: 5m, 15m, 30m, 1h, 4h
Rows:
Trend โ shows Up, Down or -, with color-coded background.
Cancel โ shows the current cancel price for that timeframe.
This creates a multi-timeframe structure dashboard that tells you:
Which timeframes are currently in an Up or Down MSS-based trend.
At which price the current structural view would be canceled.
5. Alert Conditions
The script includes alert conditions for:
Current timeframe MSS-first:
Bullish MSS-first (structure break up).
Bearish MSS-first (structure break down).
MTF MSS-first events for:
5m, 15m, 30m, 1h, 4h (Bullish & Bearish separately).
This allows you to receive notifications when a fresh structural shift happens on any of the tracked timeframes.
How to Use
Use Swing High / Swing Low labels to understand the current W%R cycle structure on your main timeframe.
Watch for MSS-first labels to catch the first break of structure after a swing completes.
Use the MTF Trend table:
Trade in the direction of higher-timeframe trends.
Use cancel levels as logical invalidation areas or structural stop guides.
Combine the current timeframe swings with MTF bias:
Example: look for long setups when H1/H4 show Up trend and price forms new bullish MSS on lower TF.
The tool is suitable for both intraday and swing trading, on any symbol and timeframe.
Why This Script Is Original
It links cycle-based swings from Williams %R directly to MSS-first detection, rather than using generic pivot logic.
It combines:
W%R-driven swing definition,
MSS-first structural breaks,
Multi-timeframe trend state,
Cancel (invalidation) levels,
Alerts for MSS events on multiple TFs,
into a single, coherent market-structure framework.
The MTF table is not a generic dashboard: it is specifically built around this W%R-MSS-first structural model, which gives traders both trend context and exact invalidation prices.
๐น๐ญ Thai Description โ เธเธณเธญเธเธดเธเธฒเธขเธ เธฒเธฉเธฒเนเธเธข
เธ เธฒเธเธฃเธงเธก
เธญเธดเธเธเธดเนเธเนเธเธญเธฃเน W%R Cycle Swings โ MTF Trend เนเธเนเธเนเธเธฃเธทเนเธญเธเธกเธทเธญเธญเนเธฒเธเนเธเธฃเธเธชเธฃเนเธฒเธเธฃเธฒเธเธฒ เนเธเธขเนเธเน โเธงเธเธเธฃเธเธญเธ Williams %Rโ เนเธเนเธเธซเธฅเธฑเธเนเธเธเธฒเธฃเธซเธฒ Swing High / Swing Low เนเธฅเนเธงเนเธเนเธเธธเธ Swing เนเธซเธฅเนเธฒเธเธฑเนเธเธกเธฒเธซเธฒ MSS-first (เธเธธเธเนเธเธฅเธตเนเธขเธเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฃเธฑเนเธเนเธฃเธ) เธเธฒเธเธเธฑเนเธเธเนเธญเธขเธญเธเนเธเธชเธนเน เธเธฒเธฃเธเธนเนเธเธงเนเธเนเธกเธซเธฅเธฒเธขเธเธฃเธญเธเนเธงเธฅเธฒ + เธฃเธฐเธเธฑเธ Cancel (เธเธธเธเธเธตเนเนเธเธฃเธเธชเธฃเนเธฒเธเธเธฐเธเธนเธเธกเธญเธเธงเนเธฒเธเธฑเธ)
เนเธเธงเธเธดเธเธซเธฅเธฑเธ
Swing เธเธฒเธ Williams %R (TF เธเธฑเธเธเธธเธเธฑเธ)
เนเธเนเธฃเธนเธเนเธเธ OS โ OB โ OS เนเธเธทเนเธญเธขเธทเธเธขเธฑเธ Swing High
เนเธฅเธฐ OB โ OS โ OB เนเธเธทเนเธญเธขเธทเธเธขเธฑเธ Swing Low
เนเธกเธทเนเธญเธขเธทเธเธขเธฑเธเนเธฅเนเธงเธเธฐเธชเธฃเนเธฒเธ Label โSwing High / Swing Lowโ เธเธเธเธฃเธฒเธ เนเธฅเธฐเธชเธฒเธกเธฒเธฃเธเนเธชเธเธเธฃเธฒเธเธฒเธเธเธเนเธฒเธขเนเธเน
เธเธณเนเธซเนเธเธธเธ Swing เธกเธตเธเธทเนเธเธเธฒเธเธเธฒเธ โCycle เธเธญเธ W%Rโ เนเธกเนเนเธเนเนเธเน high/low เนเธเธข เน
MSS-first เธเธ TF เธเธฑเธเธเธธเธเธฑเธ
เธเนเธฒเธฃเธฒเธเธฒเธเธฐเธฅเธธ Swing High เธฅเนเธฒเธชเธธเธ โ เธกเธญเธเนเธเนเธ Bullish MSS-first
เธเนเธฒเธฃเธฒเธเธฒเธเธฐเธฅเธธ Swing Low เธฅเนเธฒเธชเธธเธ โ เธกเธญเธเนเธเนเธ Bearish MSS-first
เนเธฅเธทเธญเธเนเธเนเธงเนเธฒเธเธฐเธขเธทเธเธขเธฑเธเธเธฒเธ Close เธซเธฃเธทเธญเธเธฒเธ เนเธชเนเนเธเนเธเนเธเธตเธขเธ
เธงเธฒเธเธเนเธฒเธข MSS + เนเธชเนเธเนเธเธทเนเธญเธกเธเธฒเธ Swing เนเธเธขเธฑเธเธเธธเธเธเธตเนเนเธเธดเธ MSS
เธกเธตเธเธฑเธงเนเธเธฃ trendBias เธเนเธญเธเธเธฑเธเนเธกเนเนเธซเนเธขเธดเธ MSS เธเนเธณเนเธเธเธดเธจเธเธฒเธเนเธเธดเธกเธเธเธฃเธ
MTF MSS-first + Cancel Logic
เธเธณ Logic เนเธเธตเธขเธงเธเธฑเธเนเธเนเธเนเธเธฑเธ TF: 5m, 15m, 30m, 1h, 4h
เธชเธณเธซเธฃเธฑเธเนเธเนเธฅเธฐ TF เธเธฐเนเธเน:
เธชเธเธฒเธเธฐเนเธเธงเนเธเนเธก: Up / Down / Unknown
เธฃเธฐเธเธฑเธ Cancel: เธฃเธฒเธเธฒเธเธตเนเธเนเธฒเธซเธฅเธธเธเธเธฐเธเธทเธญเธงเนเธฒเนเธเธฃเธเธชเธฃเนเธฒเธเนเธเธฃเธเธเนเธเธฑเนเธเธเธนเธ โเธขเธเนเธฅเธดเธโ
เนเธเนเธ เนเธเนเธเธฃเธเธเนเธเธฒเธเธถเนเธ เธฃเธฐเธเธฑเธ Cancel เธกเธฑเธเธกเธฒเธเธฒเธ Swing Low เธฅเนเธฒเธชเธธเธ เธฏเธฅเธฏ
MTF Table เธเธเธเธฃเธฒเธ
เนเธชเธเธ Trend + Cancel เธเธญเธ 5 TF เนเธเธฃเธนเธเนเธเธเธเธฒเธฃเธฒเธ
เธญเนเธฒเธเธเนเธฒเธข: เนเธเธง Trend เนเธเนเธ Up/Down เธเธฃเนเธญเธกเธชเธตเธเธทเนเธ, เนเธเธง Cancel เนเธเนเธเธเธฑเธงเนเธฅเธเธฃเธฒเธเธฒ
เนเธเนเธเธนเธ เธฒเธเธฃเธงเธกเนเธเธฃเธเธชเธฃเนเธฒเธเธซเธฅเธฒเธข TF เนเธเธกเธธเธกเธกเธญเธเนเธเธตเธขเธง
Alert Conditions
เนเธเนเธเนเธเธทเธญเธ MSS-first เธเธญเธ TF เธเธฑเธเธเธธเธเธฑเธ
เนเธเนเธเนเธเธทเธญเธ MSS-first เธเธญเธ TF 5m / 15m / 30m / 1h / 4h เนเธขเธ Bull / Bear
เธงเธดเธเธตเนเธเนเธเธฒเธ
เนเธเน Swing High / Swing Low เนเธเธทเนเธญเธเธนเธงเนเธฒเนเธเธฃเธเธชเธฃเนเธฒเธ cycle เธเธฑเธเธเธธเธเธฑเธเธญเธขเธนเนเธเธฃเธเนเธซเธ
เธฃเธญเนเธซเนเนเธเธดเธ MSS-first เนเธเธทเนเธญเธกเธญเธเธงเนเธฒ โเนเธเธฃเธเธชเธฃเนเธฒเธเธฃเธฒเธเธฒเนเธฃเธดเนเธกเธเธฅเธฑเธเธเธฑเธงเนเธฅเนเธงโ
เนเธเน Table MTF:
เธเธนเธงเนเธฒ TF เนเธซเธเนเธเนเธ Up / Down
เนเธเนเธฃเธฒเธเธฒเธเธฃเธฃเธเธฑเธ Cancel เนเธเนเธเนเธเธง โเธเธธเธเธเธฑเธเธเธฒเธเธเธธเธเนเธเธดเธเนเธเธฃเธเธชเธฃเนเธฒเธโ เธซเธฃเธทเธญเธเธธเธเนเธเธฅเธตเนเธขเธเธกเธธเธกเธกเธญเธ
เนเธเธฃเธเธเธฒเธกเธเธดเธจเธเธฒเธ TF เนเธซเธเน เนเธฅเนเธงเธซเธฒ Entry เธเธฒเธ MSS เธเธญเธ TF เนเธฅเนเธ
เธเธธเธเนเธเนเธ / เธเธงเธฒเธกเนเธเนเธ Original
เนเธเน Williams %R เนเธเนเธเธเธฒเธเนเธเธเธฒเธฃเธชเธฃเนเธฒเธ Swing Pattern เนเธเธเธเธฒเธฃเนเธเน Pivot เธเธฃเธฃเธกเธเธฒ
เนเธเธทเนเธญเธก W%R Swing เนเธเนเธฒเธเธฑเธเนเธเธงเธเธดเธ MSS-first เธญเธขเนเธฒเธเนเธเนเธเธฃเธฐเธเธ
เธกเธตเธเธฑเนเธ:
เธเนเธฒเธข Swing
เธเนเธฒเธข MSS + เนเธชเนเธเนเธเธทเนเธญเธก
MTF Trend + Cancel
Alert เนเธเธทเธญเธ MSS เนเธเธซเธฅเธฒเธข TF
เธญเธขเธนเนเนเธเธชเธเธฃเธดเธเธเนเนเธเธตเธขเธง
เนเธซเธกเธฒเธฐเธเธฑเธเธเธเธเธตเนเธเนเธญเธเธเธฒเธฃเธญเนเธฒเธเนเธเธฃเธเธชเธฃเนเธฒเธเธฃเธฒเธเธฒเนเธเธเธกเธตเธเธตเนเธกเธฒเธเธตเนเนเธ เนเธกเนเนเธเนเนเธเนเธเธฒเธกเธญเธดเธเธเธตเนเธเธฑเธงเนเธเธตเธขเธงเธเธฃเธฑเธ โ
LRI Momentum Cycles [AlgoAlpha]Discover the LRI Momentum Cycles indicator by AlgoAlpha, a cutting-edge tool designed to identify market momentum shifts using trend normalization and linear regression analysis. This advanced indicator helps traders detect bullish and bearish cycles with enhanced accuracy, making it ideal for swing traders and intraday enthusiasts alike.
Key Features :
๐จ Customizable Appearance : Set personalized colors for bullish and bearish trends to match your charting style.
๐ง Dynamic Trend Analysis : Tracks market momentum using a unique trend normalization algorithm.
๐ Linear Regression Insight : Calculates real-time trend direction using linear regression for better precision.
๐ Alert Notifications : Receive alerts when the market switches from bearish to bullish or vice versa.
How to Use :
๐ Add the Indicator : Favorite and apply the indicator to your TradingView chart. Adjust the lookback period, linear regression source, and regression length to fit your strategy.
๐ Market Analysis : Watch for color changes on the trend line. Green signals bullish momentum, while red indicates bearish cycles. Use these shifts to time entries and exits.
๐ Set Alerts : Enable notifications for momentum shifts, ensuring you never miss critical market moves.
How It Works :
The LRI Momentum Cycles indicator calculates trend direction by applying linear regression on a user-defined price source over a specified period. It compares historical trend values, detecting bullish or bearish momentum through a dynamic scoring system. This score is normalized to ensure consistent readings, regardless of market conditions. The indicator visually represents trends using gradient-colored plots and fills to highlight changes in momentum. Alerts trigger when the momentum state changes, providing actionable trading signals.
Pi Cycle Bitcoin Top and Bottom (Daily)Pi Cycle Bitcoin Top and Bottom (Daily)
This indicator combines the renowned Pi Cycle Top and Pi Cycle Bottom indicators into one comprehensive tool designed to identify Bitcoin's market cycle tops and bottoms with precision.
Pi Cycle Top
The Pi Cycle Top indicator uses the 111-day moving average (111DMA) and a multiple of the 350-day moving average (350DMA x 2). Historically, this indicator has identified Bitcoinโs price cycle peaks with an accuracy of up to 3 days.
๐ When the 111DMA crosses above the 350DMA x 2, it signals a market cycle top.
Pi Cycle Bottom
The Pi Cycle Bottom indicator utilizes the 150-day exponential moving average (150EMA) and a multiple of the 471-day simple moving average (471SMA x 0.745). Over past cycles, this combination has effectively pinpointed Bitcoinโs market bottoms with the same level of accuracy.
๐ When the 150EMA crosses below the 471SMA x 0.745, it signals a market cycle bottom.
Parabola
As an additional feature, the indicator identifies moments when the 150EMA crosses back above the 471SMA x 0.745, suggesting a potential parabolic price movement.
Features
Precision: Both indicators have historically aligned with major market turning points.
Customizable settings: Adjust the short and long moving averages to fit your analysis needs.
Alerts: Real-time alerts can be enabled for identifying market tops and bottoms.
Clear visualization: Optional moving average lines and signal markers make it easy to track market trends.
Full credits to Philip Swift, PositiveCrypto, Tondy, BilzerianCandle.
Cycles 90mThe cycles are separated by vertical lines. The first cycle (Q1) is marked with a red line because it is a manipulative cycle where you should not open positions. Other cycles are green (Q2, Q3, Q4).
You can add the time of the current candle, its size and position on the chart in the settings
The time is highlighted in red in the timeframes 9:30-9:40, 10:00-10:10, 11:00-11:30, 15:30-15:40, 16:00-16:10, 17:00-17:10, 17:30-17:40, as price movements are most often expected during these timeframes.
The cycle lines automatically disappear if you open a timeframe above M15
Prime, E & PI Superiority CyclesIf you have been studying the markets long enough you will probably have noticed a certain pattern. Whichever trade entry/exit logic you try to use, it will go through phases of working really well and phases where it doesn't work at all. This is the markets way of ensuring anyone who sticks to an oversimplified, one-dimensional strategy will not profit. Superiority cycles are a method I devised by which code interrogates the nature of where price has been pivoting in relation to three key structures, the Prime Frame, E Frame and Pi Frame which are plotted as horizontal lines at these values:
* Use script on 1 minute chart ONLY
prime numbers up to 100: 2.0,3.0,5.0,7.0,11.0,13.0,17.0,19.0,23.0,27.0,29.0,31.0,37.0,41.0,43.0,47.0,53.0,59.0,61.0,67.0,71.0,73.0,79.0,83.0,89.0,97.0
multiples of e up to 100: 2.71828, 5.43656, 8.15484, 10.87312, 13.5914, 16.30968, 19.02796, 21.74624, 24.46452, 27.1828, 29.90108, 32.61936, 35.33764,
38.05592, 40.7742, 43.49248, 46.21076, 48.92904, 51.64732, 54.3656, 57.08388, 59.80216, 62.52044, 65.23872, 67.957, 70.67528, 73.39356000000001, 76.11184,
78.83012, 81.5484, 84.26668000000001, 86.98496, 89.70324, 92.42152, 95.13980000000001, 97.85808
multiples of pi up to 100: 3.14159, 6.28318, 9.424769999999999, 12.56636, 15.70795, 18.849539999999998, 21.99113, 25.13272, 28.27431, 31.4159, 34.55749,
37.699079999999995, 40.840669999999996, 43.98226, 47.12385, 50.26544, 53.40703, 56.54862, 59.69021, 62.8318, 65.97339, 69.11498, 72.25657, 75.39815999999999,
78.53975, 81.68133999999999, 84.82293, 87.96452, 91.10611, 94.2477, 97.38929
These values are iterated up the chart as seen below:
The script sums the distance of pivots to each of the respective frames (olive lines for Prime Frame, green lines for E Frame and maroon lines for Pi Frame) and determines which frame price has been reacting to in the least significant way. The worst performing frame is the next frame we target reversals at. The table in the bottom right will light up a color that corresponds to the frame color we should target.
Here is an example of Prime Superiority, where we prioritize trading from prime levels:
The table and the background color are both olive which means target prime levels. In an ideal world strong moves should start and finish where the white flags are placed i.e. in this case $17k and $19k. The reason these levels are 17,000 and 19,000 and not just 17 and 19 like in the original prime number sequence is due to the scaling code in the get_scale_func() which allows the code to operate on all assets.
This is E Superiority where we would hope to see major reversals at green lines:
This is Pi Superiority where we would hope to see major reversals at maroon lines:
And finally I would like to show you a market moving from one superiority to another. This can be observed by the bgcolor which tells us what the superiority was at every historical minute
Pi Frame Superiority into E Frame Superiority example:
Prime Frame Superiority into E Frame Superiority example:
Prime Frame Superiority into Pi Frame Superiority example:
By rotating the analysis we use to enter trades in this way we hope to hide our strategy better from market makers and artificial intelligence, and overall make greater profits.
Bitcoin Pi Cycle TrackerThe Bitcoin Pi Cycle Tracker is based on the widely recognized Pi Cycle Top Indicator, a concept used to identify potential market cycle tops in Bitcoin's price. This implementation combines the 111-day Simple Moving Average (SMA) and the 350-day SMA (multiplied by 2) to detect key crossover points. When the 111-day SMA crosses above the 350-day SMA x2, it signals a potential market peak.
Key Features:
Plots the 111-day SMA (blue) and the 350-day SMA x2 (red) for clear visualization.
Displays visual markers and vertical lines at crossover points to highlight key moments.
Sends alerts for crossovers, helping traders stay ahead of market movements.
This tool is an implementation of the Pi Cycle concept originally popularized by Bitcoin market analysts. Use it to analyze historical price cycles and prepare for significant market events. Please note that while the Pi Cycle Indicator has been historically effective, it should be used alongside other tools for a comprehensive trading strategy.
Bitcoin Cycle Master [InvestorUnknown]The "Bitcoin Cycle Master" indicator is designed for in-depth, long-term analysis of Bitcoin's price cycles, using several key metrics to track market behavior and forecast potential price tops and bottoms. The indicator integrates multiple moving averages and on-chain metrics, offering a comprehensive view of Bitcoinโs historical and projected performance. Each of its components plays a crucial role in identifying critical cycle points:
Top Cap: This is a multiple of the Average Cap, which is calculated as the cumulative sum of Bitcoinโs price (price has a longer history than Market Cap) divided by its age in days. Top Cap serves as an upper boundary for speculative price peaks, multiplied by a factor of 35.
Time_dif() =>
date = ta.valuewhen(bar_index == 0, time, 0)
sec_r = math.floor(date / 1000)
min_r = math.floor(sec_r / 60)
h_r = math.floor(min_r / 60)
d_r = math.floor(h_r / 24)
// Launch of BTC
start = timestamp(2009, 1, 3, 00, 00)
sec_rb = math.floor(start / 1000)
min_rb = math.floor(sec_rb / 60)
h_rb = math.floor(min_rb / 60)
d_rb = math.floor(h_rb / 24)
difference = d_r - d_rb
AverageCap() =>
ta.cum(btc_price) / (Time_dif() + btc_age)
TopCap() =>
// To calculate Top Cap, it is first necessary to calculate Average Cap, which is the cumulative sum of Market Cap divided by the age of the market in days.
// This creates a constant time-based moving average of market cap.
// Once Average cap is calculated, those values are multiplied by 35. The result is Top Cap.
// For AverageCap the BTC price was used instead of the MC because it has more history
// (the result should have minimal if any deviation since MC would have to be divided by Supply)
AverageCap() * 35
Delta Top: Defined as the difference between the Realized Cap and the Average Cap, this metric is further multiplied by a factor of 7. Delta Top provides a historically reliable signal for Bitcoin market cycle tops.
DeltaTop() =>
// Delta Cap = Realized Cap - Average Cap
// Average Cap is explained in the Top Cap section above.
// Once Delta Cap is calculated, its values over time are then multiplied by 7. The result is Delta Top.
(RealizedPrice() - AverageCap()) * 7
Terminal Price: Derived from Coin Days Destroyed, Terminal Price normalizes Bitcoinโs historical price behavior by its finite supply (21 million bitcoins), offering an adjusted price forecast as all bitcoins approach being mined. The original formula for Terminal Price didnโt produce expected results, hence the calculation was adjusted slightly.
CVDD() =>
// CVDD stands for Cumulative Value Coin Days Destroyed.
// Coin Days Destroyed is a term used for bitcoin to identify a value of sorts to UTXOโs (unspent transaction outputs). They can be thought of as coins moving between wallets.
(MCR - TV) / 21000000
TerminalPrice() =>
// Theory:
// Before Terminal price is calculated, it is first necessary to calculate Transferred Price.
// Transferred price takes the sum of > Coin Days Destroyed and divides it by the existing supply of bitcoin and the time it has been in circulation.
// The value of Transferred Price is then multiplied by 21. Remember that there can only ever be 21 million bitcoin mined.
// This creates a 'terminal' value as the supply is all mined, a kind of reverse supply adjustment.
// Instead of heavily weighting later behavior, it normalizes historical behavior to today. By normalizing by 21, a terminal value is created
// Unfortunately the theoretical calculation didn't produce results it should, in pinescript.
// Therefore the calculation was slightly adjusted/improvised
TransferredPrice = CVDD() / (Supply * math.log(btc_age))
tp = TransferredPrice * 210000000 * 3
Realized Price: Calculated as the Market Cap Realized divided by the current supply of Bitcoin, this metric shows the average value of Bitcoin based on the price at which coins last moved, giving a market consensus price for long-term holders.
CVDD (Cumulative Value Coin Days Destroyed): This on-chain metric analyzes Bitcoinโs UTXOs (unspent transaction outputs) and the velocity of coins moving between wallets. It highlights key market dynamics during prolonged accumulation or distribution phases.
Balanced Price: The Balanced Price is the difference between the Realized Price and the Terminal Price, adjusted by Bitcoin's supply constraints. This metric provides a useful signal for identifying oversold market conditions during bear markets.
BalancedPrice() =>
// It is calculated by subtracting Transferred Price from Realized Price
RealizedPrice() - (TerminalPrice() / (21 * 3))
Each component can be toggled individually, allowing users to focus on specific aspects of Bitcoinโs price cycle and derive meaningful insights from its long-term behavior. The combination of these models provides a well-rounded view of both speculative peaks and long-term value trends.
Important consideration:
Top Cap did historically provide reliable signals for cycle peaks, however it may not be a relevant indication of peaks in the future.
Muzyorae - Quarterly CyclesQuarterly Theory โ NY Session Macro Model
The Quarterly Theory is a time-based framework for analyzing intraday market behavior during the New York session. It divides the session into four sequential quarters (Q1โQ4), each reflecting institutional activity, liquidity accumulation, and directional bias.
Q1 โ Accumulation (9:30โ10:00 AM): Early positioning, initial liquidity sweeps, and potential early breakouts (AMDX - XAMD patterns).
Q2 โ Manipulation/Expansion (10:00โ11:30 AM): Main directional move with structure breaks, fair value gaps, and liquidity sweeps.
Q3 โ Distribution/Retracement (11:30 AMโ1:30 PM): Consolidation, profit-taking, and market chop.
Q4 โ Final Expansion/Repricing (1:30โ4:00 PM): Trend continuation, reversals, and session high/low formation.
Key Features:
Fractal-based cycles scalable across intraday or multi-day timeframes.
Supports AMDX (Accumulation โ Manipulation โ Distribution โ Expansion) and XAMD reversal sequences.
Highlights early Q1 expansions, Q2 open reference, and critical liquidity zones.
Fully synchronized to NY time and compatible with ICT concepts (SMT, FVGs, OBs, BOS).
Professional visualization with optional labels and vertical markers.
Purpose:
Provides traders a systematic framework to align with institutional flow, anticipate liquidity accumulation, identify optimal entry/exit zones, and structure trades around high-probability intraday cycles.
90min cyclesI did this little script to help me with the cycle I hope it will help some of you too !
For default, I have made 90 min cycle, but you can change it easily on the settings if you prefer an other time interval because it is really subjectif.
By default the cycle will begin at midnight from YOUR local time, but this can be a little annoying when you want for example to make it begin at midnght from NY or London without changing the UTC of your chart (if you still want to have your hour displayed normally).
I couldn't find an indicator to help me do that so I added a little setting which allow you to move the start hour of your cycle (so you will have to do some math to move it accordingly to what you want but that's okay ;) ).
That way you can choose the interval you like AND when it begin !
Quarterly Cycles [EETrade]The idea of Quarterly Theory is -
Each timeframe is split into 4 "quarters", derived based on logical subdivisions:
- Year: Divided into calendar quarters (Jan-Mar, Apr-Jun, etc.).
- Tertiary (sub-year): Each year quarter is subdivided into 4 parts dynamically based on timestamp deltas.
- Month: Weekly-based logic using Sunday cutoffs and session switch time (18:00 US/Eastern).
- Week: Divided using daily boundaries starting from Sunday 18:00 (based on US futures session logic).
- Day: Split into 4 blocks (Asia, London, AM, PM) using 6-hour segments.
- Session and Macro Quarters: Session is divided further into 4 quarters of 6 hours, then each of those into 15-minute blocks for ultra-granular cycle mapping.
Where we split them into Q1, Q2, Q3 and Q4.
Usually we address
Q1 as accumulation,
Q2 as manipulation
Q3 as Distribution
Q4 as Continuation/Reversal
If we trade Q3 for example, we'd like to use price action mainly from previous Q3s.
Plus there are Semi Cycles which we can utilize
- Q1 with Q3
- Q2 with Q4
- Q3 with Q1
- Q4 with Q2
So we can also use Q1 price action when we are trading Q3
True Open Logic:
The open candle price of the second quarter is the true open for us, it will help us understand if we're on premium or discount area.
Plus this indicator providers a table to dynamically show the premium and discount
We can use this indicator to understand optimal times to trade as we'd like to trade mostly Q3
VWAP Breakout Strategy + EMAs + Clean Cycle/TP/SL PlotsHereโs a quick user-guide to get you up and running with your โVWAP Breakout Strategy + EMAs + Clean Cycle/TP/SL Plotsโ script in TradingView:
โธป
1. Installing the Script
1. Open TradingView, go to Pine Editor (bottom panel).
2. Paste in your full Pine-v6 code and hit Add to chart.
3. Save it (โSave asโฆโ): give it a memorable name (e.g. โVWAP Breakout+EMAsโ).
โธป
2. Configuring Your Inputs
Once itโs on the chart, click the โ๏ธ Settings icon to tune:
Setting Default What it does
ATR Length 14 Period for average true range (volatility measure)
ATR Multiplier for Stop 1.5 How many ATRs away your stop-loss sits
TP1 / TP2 Multipliers (ATR) 1.0 / 2.0 Distance of TP1 and TP2 in ATR multiples
Show VWAP / EMAs On Toggles the blue VWAP line & EMAs (100/34/5)
Full Cycle Range Points 200 Height of the shaded โcycle zoneโ
Pivot Lookback 5 How many bars back to detect a pivot low
Round Number Step 500 Spacing of your dotted horizontal lines
Show TP/SL Labels On Toggles all the โENTRYโ, โTP1โ, โTP2โ, โSTOPโ tags
Feel free to adjust ATR multipliers and cycle-zone size based on the instrumentโs typical range.
โธป
3. Reading the Signals
โข Long Entry:
โข Trigger: price crosses above VWAP
โข Youโll see a green โBuyโ tag at the low of the signal bar, plus an โENTRY (Long)โ label at the close.
โข Stop is plotted as a red dashed line below (ATR ร 1.5), and TP1/TP2 as teal and purple lines above.
โข Short Entry:
โข Trigger: price crosses below VWAP
โข A red โSellโ tag appears at the high, with โENTRY (Short)โ at the close.
โข Stop is the green line above; TP1/TP2 are dashed teal/purple lines below.
โธป
4. Full Cycle Zone
Whenever a new pivot low is detected (using your Pivot Lookback), the script deletes the old box and draws a shaded yellow rectangle from that low up by โFull Cycle Range Points.โ
โข Use this to visualize the โmaximum expected swingโ from your pivot.
โข You can quickly see whether price is still traveling within a normal cycle or has overstretched.
โธป
5. Round-Number Levels
With Show Round Number Levels enabled, youโll always get horizontal dotted lines at the nearest multiples of your โRound Number Stepโ (e.g. every 500 points).
โข These often act as psychological support/resistance.
โข Handy to see confluence with VWAP or cycle-zone edges.
โธป
6. Tips & Best-Practices
โข Timeframes: Apply on any intraday chart (5 min, 15 min, H1โฆ), but match your ATR length & cycle-points to the timeframeโs typical range.
โข Backtest first: Use the Strategy Tester tab to review performance, tweak ATR multipliers or cycle size, then optimize.
โข Combine with context: Donโt trade VWAP breakouts blindlyโlook for confluence (e.g. support/resistance zones, higher-timeframe trend).
โข Label clutter: If too many labels build up, you can toggle Show TP/SL Labels off and rely just on the lines.
โธป
Thatโs it! Once youโve added it to your chart and dialed in the inputs, your entries, exits, cycle ranges, and key levels will all be plotted automatically. Feel free to experiment with the ATR multipliers and cycle-zone size until it fits your instrumentโs personality. Happy trading!
Buying/Selling Pressure Cycle (PreCy)No lag estimation of the buying/selling pressure for each candle.
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WHY PreCY?
How much bearish pressure is there behind a group of bullish candles ?
Is this bearish pressure increasing?
When might it overcome the bullish pressure?
Those were my questions when I started this indicator. It lead me through the rabbit hole, where I discovered some secrets about the market. So I pushed deeper, and developped it a lot more, in order to understand what is really happening "behind the scene".
There are now 3 ways to read this indicator. It might look complicated at first, but the reward is to be able to anticipate and understand a lot more.
You can show/hide all the plots in the settings. So you can choose the way you prefer to use it.
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FIRST WAY TO READ PreCy : The SIGNAL line
Go in the settings of PreCy, in "DISPLAY", uncheck "The pivot lines of the SIGNAL" and "The CYCLE areas". Make sure "The SIGNAL line" is checked.
The SIGNAL shows an estimation of the buying/selling pressure of each candle, going from 100 (100% bullish candle) to -100 (100% bearish candle). A doji would be shown close to zero.
Formula: Estimated % of buying pressure - Estimated % of selling pressure
It is a very choppy line in general, but its colors help make sense of it.
When this choppiness alternates between the extremes, then there is not much pressure on each candle, and it's very unpredictable.
When the pressure increases, the SIGNAL's amplitude changes. It "compresses", meaning there is some interest in the market. It can compress by alternating above and below zero, or it can stay above zero (bullish), or below zero (bearish) for a while.
When the SIGNAL becomes linear (in opposition to choppy), there is a lot of pressure, and it is directional. The participants agree for a move in a chosen direction.
The trajectory of the SIGNAL can help anticipate when a move is going to happen (directional increase of pressure), or stop (returning to zero) and possibly reverse (crossing zero).
Advanced uses:
The SIGNAL can make more sense on a specific timeframe, that would be aligned with the frequency of the orders at that moment. So it is a good idea to switch between timeframes until it gets less choppy, and more directional.
It is interesting to follow any regular progression of the SIGNAL, as it can reveal the intentions of the market makers to go in a certain direction discretely. There can be almost no volume and no move in the price action, yet the SIGNAL gets linear and moves away from one extreme, slowly crosses the zeroline, and pushes to the other extreme at the same time as the amplitude of the price action increases drastically.
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SECOND WAY TO READ PreCy : The PIVOTS of the SIGNAL line
Go in the settings of PreCy, in "DISPLAY", and uncheck "The CYCLE areas". Make sure "The SIGNAL line" and "The pivot lines of the SIGNAL" are checked.
The PIVOTS help make sense of the apparent chaos of the SIGNAL. They can reveal the overall direction of the choppy moves.
Especially when the 2 PIVOTS lines are parallel and oriented.
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THIRD WAY TO READ PreCy : The CYCLE
Go in the settings of PreCy, in "DISPLAY", and uncheck "The SIGNAL line" and "The pivot lines of the SIGNAL". Make sure "The CYCLE areas" is checked.
The CYCLE is a Moving Average of the SIGNAL in relation to each candle's size.
Formula: 6 periods Moving Average of the SIGNAL * (body of the current candle / 200 periods Moving Average of the candle's bodies)
The result goes from 200 to -200.
The CYCLE shows longer term indications of the pressures of the market.
Analysing the trajectory of the CYCLE can help predict the direction of the price.
When the CYCLE goes above or below the gray low intensity zone, it signals some interest in the move.
When the CYCLE stays above 100 or below -100, it is a sign of strength in the move.
When it stayed out of the gray low intensity zone, then returns inside it, it is a strong signal of a probable change of behavior.
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ALERTS
In the settings, you can pick the alerts you're interested in.
To activate them, right click on the chart (or alt+a), choose "Add alert on Buying/Selling Pressure Cycle (PreCy)" then "Any alert()", then "Create".
Feel free to activate them on different timeframes. The alerts show which timeframe they are from (ex: "TF:15" for the 15 minutes TF).
I have added a lot more conditions to my PreCy, taken from FREMA Trend, for ex. You can do the same with your favorite scripts, to make PreCy more accurate for your style.
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Borrowed scripts:
To estimate the buying and selling pressures, PreCy uses the wicks calculations of "Volume net histogram" by RafaelZioni
To filter the alerts, PreCy uses the calculations of "Amplitude" by Koholintian:
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DO NOT BASE YOUR TRADING DECISIONS ON 1 SINGLE INDICATOR'S SIGNALS.
Always confirm your ideas by other means, like price action and indicators of a different nature.
GKD-C Cycle-Period Adaptive, Linear Regression Slope [Loxx]Giga Kaleidoscope Cycle-Period Adaptive, Linear Regression Slope Oscillator is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
โ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is an NNFX algorithmic trading strategy?
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average as shown on chart
Volatility/Volume: Waddah Attar as shown on chart
Confirmation 1: Cycle-Period Adaptive, Linear Regression Slope Oscillator as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
โ Cycle-Period Adaptive, Linear Regression Slope Oscillator
What is Cycle-Period Adaptive, Linear Regression Slope Oscillator?
Cycle-Period Adaptive, Linear Regression Slope Oscillator is an oscillator that solves for the Linear Regression slope and turns it into an oscillator. This is a very simple calculation and uses one of Ehler's first implementations of his cycle period calculations. The output slope value is smoothed after calculation and before being drawn. This is a sort of momentum indicator and has a rich history with Forex traders around the world.
What is the Cycle Period?
The spectral content of the data are measured in a bank of contiguous filters as described in "Measuring Cycle Periods" in the March 2008 issue of Stocks & Commodities Magazine. The filter having the strongest output is selected as the current dominant cycle period. The cycle period is measured as the number of bars contained in one full cycle period.
What is Linear Regression?
In statistics, linear regression is a linear approach for modeling the relationship between a scalar response and one or more explanatory variables. The case of one explanatory variable is called simple linear regression ; for more than one, the process is called multiple linear regression.
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Additional features will be added in future releases.
Adaptive Schaff Trend Cycle (STC) [AlgoAlpha]Introducing the Adaptive Schaff Trend Cycle by AlgoAlpha: Elevate Your Trading Strategies ๐
Discover precision and adaptability with the Adaptive Schaff Trend Cycle ๐ฏ, meticulously crafted for traders seeking an edge in the markets. This advanced tool integrates sophisticated algorithms to offer clear insights and real-time analytics ๐.
Key Features:
โ๏ธAdaptive Signal Processing: Utilizes evolving calculations to adjust to market changes, offering highly responsive signals.
๐Enhanced MACD Analysis: Innovates on the traditional MACD, providing new insights into market dynamics through an adaptive lens.
๐จCustomizable Visual Experience: Features customizable up and down colors for tailored chart analysis.
๐Real-Time Alerts: Stay informed with instant alerts on indicator changes.
Quick Guide to Using the Adaptive STC Indicator
1. ๐ง Adding the Indicator: Search for "Adaptive Schaff Trend Cycle (STC) " within TradingView's Indicators & Strategies and apply it to your chart. Customize the settings according to your trading style for optimum results.
2.๐ Market Analysis: Monitor the STC and Histogram values closely. The indicator's color gradients provide a visual representation of momentum shifts, helping you to identify trends more clearly.
3. ๐จ Set Alerts: Enable alerts for specific conditions like significant moves up or down, or when the histogram crosses zero. This feature ensures you never miss a potential trading opportunity.
How It Works:
The Adaptive Schaff Trend Cycle by AlgoAlpha introduces a dynamic approach to market analysis, refining traditional indicators through adaptive logic to align with fluctuating market conditions. Here's a concise overview of its operation:
๐ Adaptive MACD Adjustment: The foundation of the indicator is an enhanced MACD calculation, which dynamically adjusts its parameters based on real-time market trends and momentum. This algorithmic adjustment aims to ensure the MACD's responsiveness to market changes, adapting its sensitivity to offer timely insights .
๐ Integration of Schaff Trend Cycle (STC): After adjusting the MACD, the indicator calculates STC values to provide a smoothed representation of market trends. By normalizing and smoothing the MACD values on a scale from 0 to 100, the STC method helps in identifying market phases with a clear visualization. The smoothing process is designed to mitigate noise and focus on significant market movements .
๐ Visualization and Alerts: To aid in the interpretation of these insights, the Adaptive Schaff Trend Cycle employs color gradients and customizable visual settings to indicate momentum shifts. These visual cues, combined with alert functionalities, are structured to assist traders in monitoring market developments, enabling them to make informed decisions based on the presented data .
๐ ๏ธThe Adaptive Schaff Trend Cycle thus merges adaptive MACD adjustments with STC methodology, supported by visual and alert features, to create a tool aimed at enhancing market analysis. By focusing on adaptability and current market conditions, it provides a nuanced view of market trends, intended to support traders in their decision-making processes without promising predictive accuracy or reliability .
Pi Cycle Indicators Comparison IndicatorThere are now 3 Pi Cycle Indicators that I am aware of; the original, improved**, and bottom.
This indicator attempts to provide all three indicators in a dingle, easy to view script.
I coded this script to displace the moving averages above and below the price bars for easy viewing. This was accomplished by placing a scaling factor (/# or *#) at the end of the ta.sma or ta.ema functions.
A vertical arrow, purposely posing as a short vertical line, marks the crossing of the long and short MAs for each indicator. These are color coded to match their respective indicators and the long and short MAs are similarly color coded for easy differentiation.
The red colored MAs and arrows above the price line are the Improved Pi-Cycle Top Indicator.
The green colored MAs and arrows below the price line are the Original Pi-Cycle Top Indicator.
The blue colored MAs and arrows below the green lines and price line are the Pi-Cycle Bottom Indicator.
One last feature of the chart is the use of the location function to enable easy comparison of the crossings of each indicator to the indicator itself and to the price. This can be accomplished simply by moving the chart up and down.
**{I should note that while researching this I found that BitcoinMamo turns out to have beat me to the punch on the Improved Indicator Long.Short and Multiplier numbers. He should therefor get the credit for that}
Price/Time CyclesThis is a script for laying out cycles of price & time that are square (though you can adjust the ratios)
There is an "Auto-cycle" option also
You may have to adjust the ratios of both time & price in different ways to get the right settings but you can experiment
Limit the amount of price lines you are displaying otherwise you may get some errors in the information plotted
(the script says max 10 but really there is no true maximum set & you will get missing information as it begins to plot too many lines... I'll try to define this in the future)
Remember you can put down multiple cycles & change the styling.
FOR LINE STYLE- please use this syntax:
Solid Line = sol
Dotted Line = dot
Dashed Line = dsh
(I'll try to setup options for that in the future)
You can lay cycles into the past using the horizontal offset tool but there is a limit of setting the info back beyond 5000 bars, also, generally this process is a bit funny
The script can only put vertical lines up to 500 bars into the future. So, although cycles of 500 bars or more can be used, the future bar will not be plotted until it is within 500 bars of the current bar. In other words, doing very long-term analysis or trying to lay higher timeframe bar counts onto smaller timeframes might not work & may be a buggy process
Market CycleMarket Cycle Indicator
This indicator identifies the four classic market cycle phases โ Accumulation, Markup, Distribution, and Markdown โ using a combination of trend, momentum, and volatility signals. It helps traders quickly understand the current market context and avoid trading against major structural shifts.
How It Works
The algorithm evaluates multiple conditions:
โข Trend direction based on EMA Fast vs EMA Slow
โข Momentum strength using MACD histogram and its slope
โข Overbought / oversold zones with RSI
โข Trend strength / weakness via ADX (DMI)
Each bar is classified into one of the following phases:
โข Accumulation: Low trend strength, rising momentum, mid-range RSI
โข Markup: Strong uptrend with rising positive momentum
โข Distribution: Weakening momentum after an uptrend, high RSI
โข Markdown: Strong downtrend with falling momentum and low RSI
The indicator highlights the active phase using background color and displays a real-time label on the chart.
Main Features
โข Automatic detection of 4 market cycle phases
โข Background color shading for easy visualization
โข Real-time label showing the current phase
โข Optional alerts for each phase change
โข Clean and optimized code (Pine Script v5)
Recommended Use
Use this indicator to:
โข Identify the broader market context
โข Avoid entering during distribution or late markup zones
โข Time entries better during accumulation or early markup
โข Combine with price action, volume, and support/resistance for best results
Note:
This is not a buy/sell signal generator. It provides context, not predictions. Always manage risk appropriately.
