Bitcoin Halving Cycle Strategy [Gabremoku]This script is a Bitcoin cycle timing indicator built around the historical halving structure.
The core idea is simple:
- define a Buy window a fixed number of days before each halving,
- define a Sell window a fixed number of days after each halving,
- project the next key dates directly on the chart.
The indicator does not try to predict price with oscillators, momentum formulas, or future-looking data. Instead, it focuses on a structural market rhythm that many Bitcoin traders monitor: the recurring supply shock created by halvings.
How it works
- The script uses known historical Bitcoin halving dates.
- It calculates a Buy date at halving minus N days.
- It calculates a Sell date at halving plus N days.
- It draws vertical reference lines for Buy, Halving, and Sell events.
- It plots historical labels on the actual event bars.
- It projects the upcoming Buy, Sell, and Halving labels forward to their own future dates on the chart.
- A dashboard summarizes the active cycle, next key date, and remaining days.
What makes this script useful
Most halving tools only mark the halving date itself. This script expands the concept into a complete cycle timeline by transforming each halving into three practical timing landmarks:
1. accumulation window before halving,
2. halving anchor point,
3. distribution window after halving.
This makes the script more useful for traders and investors who want a visual cycle map instead of a single event marker.
How to use it
- Apply it on BTCUSD or BTCUSDT.
- Daily and weekly charts are the most readable timeframes for this model.
- Use "Buy Days Before Halving" to control how early the accumulation window begins.
- Use "Sell Days After Halving" to control how long the post-halving window extends.
- Use the projected labels to monitor the next cycle dates in advance.
- Use the dashboard to read the current phase quickly.
Included features
- Historical halving timeline
- Buy and Sell event mapping
- Future projected labels positioned on future dates
- Optional cycle range highlighting
- Dashboard with next Buy, next Sell, next Halving, and countdown
- Custom colors and label controls
Important notes
- This script is a cycle visualization tool, not financial advice.
- It does not guarantee future market behavior.
- The projected future halving date is used as a timeline estimate for planning and visualization only.
- Past cycle behavior does not guarantee similar future performance.
- For clarity and to avoid misleading output, this script should be used on standard candlestick charts.
This publication is intended to provide a clean and practical timing framework for Bitcoin traders who study halving-driven market cycles rather than signal-based entry systems. Indicator
ATR & Fibonacci Expansion ZonesATR & Fibonacci Expansion Zones is a multi-mode ATR framework designed to help traders read price location, volatility expansion, session structure, and active high/low range context. The script is built around a simple but powerful idea: ATR levels can provide a volatility-adjusted map of how far price has moved from a meaningful close reference. From there, the workflow adds flexible mode selection, organized ATR labels, optional historical ATR periods, mode-aware AVWAPs, active high/low zones, and fibonacci labels that correspond to a respective level within the enabled mode.
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Core Idea
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ATR (actual true range) is powerful because it gives price movement a volatility-adjusted frame of reference.
This script helps traders evaluate:
• How far price has expanded from the selected close anchor
• Whether price is still near the first ATR expansion zone or already extended
• Whether price is approaching a major +1, +2, +3, or +4 ATR area
• Whether price is reacting around an active session high/low zone
• Where price is trading inside the active session fibonacci range
• Which ATR mode best frames the current move: Daily, Multiday, Swing, Position, or Long-Term
That makes the script useful for intraday context, multiday moves, swing structure, position-style tracking, and longer-term range mapping.
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ATR Modes
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The script renders one selected ATR engine at a time. This keeps the chart cleaner than stacking multiple ATR families together.
Included modes:
Daily
Uses the daily ATR framework. Best for day/session-level context on intraday charts.
Multiday
Uses the weekly ATR framework. Best for trades developing across multiple sessions.
Swing
Uses the monthly ATR framework. Best for larger swing-style movement.
Position
Uses a 3-month ATR framework. Best for broader position-style context.
Long-Term
Uses a 12-month ATR framework. Best for major range structure and larger macro-style moves.
All modes can render the full 23.6% through 400% ATR expansion range, with separate line and label controls for each major range block.
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ATR Expansion Grid
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The main ATR grid plots upper and lower ATR expansion levels from the selected close anchor.
The grid includes:
• 23.6% to 100%
• 123.6% to 200%
• 223.6% to 300%
• 323.6% to 400%
Each range has its own parent Show / Hide controls for lines and labels, plus child controls for upper and lower sides. This makes it easier to keep the chart simple when only the closer ATR levels matter, or expand the full map when price is making a larger move.
The labels can show:
• ATR ratio
• ATR level price
• selected mode tag
• percent distance from current price
That percent-from-price read helps make the grid more practical because you can quickly see how close price is to the next ATR level instead of visually estimating it or using the info line tool.
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Previous / Current Close Reference
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The PCL / CC line and label show the active close reference used by the selected ATR grid. Depending on the selected mode and settings, this can represent:
• Previous Close
• Current Close
• Daily close reference
• Weekly close reference
• Monthly close reference
• 3-month close reference
• 12-month close reference
The label can also show close-to-close percent change and RSI(14) from the selected ATR timeframe. This is important because the close anchor is the foundation of the ATR grid. The script keeps that reference visible so the user can see exactly where the ATR expansion map begins.
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ATR Session AVWAPs
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The script includes mode-aware ATR Session AVWAPs. These are not static VWAPs. They follow the currently selected ATR mode. Depending on the mode, the AVWAP set can reset from:
• the active day/session
• the active week
• the active month
• the active 3-month period
• the active 12-month period
Included AVWAP paths:
• Session VWAP
• High AVWAP
• Low AVWAP
The Session VWAP starts from the active ATR period/session start. The High AVWAP anchors from the candle that creates the active period high. The Low AVWAP anchors from the candle that creates the active period low. When a new active high or low forms, the matching AVWAP re-anchors.
In practical terms:
• ATR levels show volatility expansion from the selected close anchor
• AVWAPs show volume-weighted behavior from the active period structure
• High/Low AVWAPs help track how price behaves after major active-period extremes form
This adds a useful volume-weighted layer around the ATR map.
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ATR Session High / Low Boxes
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The script can also draw active high and low boxes for the selected ATR session or period.
The High Box starts from the candle that creates the active high.
The Low Box starts from the candle that creates the active low.
These boxes are wick-based, which makes them useful for highlighting rejection zones, liquidity wicks, exhaustion candles, or important high/low reference areas inside the active ATR period.
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ATR Session Fibonacci Labels (levels)
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ATR Session Fibonacci Labels add another layer of context beside the ATR grid.
The ATR grid answers:
“How far has price expanded from the selected close anchor?”
The session fib labels answer:
“Where is price trading inside the active high-to-low range?”
The fib labels use the same active high and low tracked by the AVWAP and high/low box engines.
Direction is inferred automatically:
• If the low formed before the high, the script treats it as a bullish session leg
• If the high formed before the low, the script treats it as a bearish session leg
The fib labels can show:
• fib ratio
• price
• percent distance from current price
This creates a clean second layer of structure: ATR levels for expansion, fib labels for internal active-range location.
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Historical ATR Periods
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The script includes an optional Historical ATR Periods mode. When enabled, prior ATR grid segments can remain visible for a user-defined number of completed ATR periods.
This is useful for reviewing:
• how price respected previous ATR levels
• where prior extensions acted as support or resistance
• whether price repeatedly reacted around certain volatility zones
• how current ATR behavior compares to prior periods
Historical labels are intentionally excluded to keep the chart cleaner. The historical mode focuses on line segments only.
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Asset-Aware Behavior
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The script includes separate behavior for stocks, crypto, and futures.
For stocks and funds:
• ATR calculations can use regular or extended-session source data
• Daily lines can start from regular open or extended open
• Daily AVWAPs, boxes, and fib labels can reset from the extended-session / premarket day start when available
• Higher-timeframe stock modes wait for the first regular-hours bar of the new period for cleaner visual alignment
For crypto:
• the chart ticker is used
• Daily mode resets once per calendar day
For futures:
• the chart ticker is used
• Daily mode uses a Globex-style 5:00 PM Central session boundary
• higher-timeframe modes reset from the selected W / M / 3M / 12M ATR period boundary
This makes the script more flexible across different asset classes instead of treating every market like a regular-hours stock chart.
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How I Use It
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I use this script as a volatility and structure map.
A few practical ways to read it:
• Daily mode helps frame intraday price movement around the active daily ATR grid
• Multiday mode helps show where price is trading inside the weekly ATR structure
• Swing mode is useful when the daily chart is too narrow and the monthly range matters more
• Position and Long-Term modes help zoom out and understand broader extension zones
• PCL (previous close) / CC (current close) keeps the close anchor visible
• The Auto close-anchor setting is especially useful for Daily stock mode because it automatically adapts between Current Close during New York premarket / after-hours and Previous Close during regular market hours
• This means the ATR grid can stay aligned with the session environment without forcing the user to manually decide when to use PCL or CC
• During premarket and after-hours, Current Close helps the levels respond to the active extended-hours move
• During regular hours, Previous Close keeps the main daily ATR map anchored to the completed prior session
• The price guide dash makes it easier to line up current price with the ATR label column
• High/Low Boxes help mark active wick-based extremes
• Session AVWAPs add a volume-weighted path from the active period and its extremes
• Session Fib Labels show internal retracement context inside the active high/low range
• Historical ATR Periods help review how price behaved around prior ATR grids
The Auto close-anchor behavior is one of the most practical parts of the workflow. Premarket and after-hours trading can make a static previous-close grid feel disconnected from the live move, while regular-hours trading often benefits from keeping the prior close as the main reference. Auto handles that transition in the background so the ATR levels remain tied to the most relevant close reference for the active session. In other words, you don't have to decide when to use "Use Current Close" depending on if your'e in pre-market or regular trading hours.
The value of this script is organization. It brings ATR expansion, close-reference context, session extremes, AVWAP structure, and active-range fib location into one chart-side workflow.
ATR levels by themselves can already be useful but this script expands that idea into a fuller range map so traders can better judge whether price is early in a move, pressing into extension, reacting from an active extreme, or moving through a broader volatility structure.
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Attribution
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This script is a modern rebuild inspired by Saty’s ATR Levels concept and my original ATR Levels publication.
Special thanks to SimpleCryptoLife for past help and inspiration around improving the original ATR Levels workflow and for the Significant Figures library used for cleaner number formatting.
As always, this is a visual context tool. It is not meant to replace risk management, market structure, support/resistance, volume analysis, or a complete trading plan.
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A Few Chart Examples
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Indicator
RSI Trend Bias█ OVERVIEW
The RSI Trend Bias indicator is a custom technical analysis tool that utilizes the Relative Strength Index (RSI) to gauge market momentum and identify potential trend shifts. By monitoring RSI crossovers and crossunders relative to customizable threshold levels, the indicator provides clear visual cues that distinguish between bullish and bearish market conditions. This flexible approach makes it suitable for both short-term scalping and longer-term trend analysis.
█ KEY FEATURES
Dynamic RSI Trend Detection
The indicator dynamically determines market bias by monitoring the RSI for crossovers above the upper threshold and crossunders below the lower threshold. This method ensures that only significant momentum shifts trigger a change in trend, reducing false signals in volatile markets.
Adaptive Visualizations
The RSI Trend Bias indicator enhances clarity by plotting the RSI with colors that reflect current market conditions. Additionally, it offers an optional background color change to further emphasize bullish or bearish states, providing immediate visual feedback to traders.
Clear Threshold Indicators
Upper and lower threshold levels are plotted as constant reference lines, clearly delineating overbought and oversold regions. These markers help traders quickly assess market conditions at a glance.
Customizable Settings
Users have full control over key parameters including the RSI length, threshold levels, and visual settings. This customization allows the indicator to be tailored for different markets and trading styles, ensuring optimal performance across various timeframes.
█ UNDERLYING METHODOLOGY & CALCULATIONS
RSI Calculation
The indicator computes the Relative Strength Index over a user-defined period (default is 14), providing a measure of market momentum that reflects price changes over time.
Trend Determination Logic
By detecting when the RSI crosses above the upper threshold, the indicator signals a shift towards bullish momentum. Conversely, a crossunder below the lower threshold indicates bearish conditions. This straightforward binary approach filters out minor fluctuations, ensuring clarity in trend analysis.
Visual Signal Integration
Based on the detected trend, the RSI line is dynamically colored—green for bullish conditions and red for bearish conditions. An optional background color change further reinforces these signals, offering an immediate visual cue of prevailing market sentiment.
█ HOW TO USE THE INDICATOR
1 — Apply the Indicator
• Add the RSI Trend Bias indicator to a separate pane in your trading platform.
2 — Adjust Settings for Your Market
• RSI Length – Define the period for RSI calculation (default is 14).
• Threshold Levels – Set the upper (default 70) and lower (default 30) thresholds to identify overbought and oversold conditions.
• Visual Customization – Choose the bullish (green) and bearish (red) colors, and enable background color changes to enhance visual trend recognition.
3 — Interpret the Signals
• RSI Line – Observe the dynamically colored RSI line; a shift to green signals bullish momentum, while red indicates bearish conditions.
• Threshold Levels – Use the constant upper and lower lines as reference points for overbought and oversold states.
• Signal Timing – A crossover above the upper threshold or a crossunder below the lower threshold suggests potential entry or exit points.
4 — Integrate with Your Trading Strategy
• Combine RSI Trend Bias signals with other technical analysis tools to confirm market direction.
• Utilize the visual cues for fine-tuning your entry and exit decisions, ensuring robust risk management and optimized trade timing.
█ CONCLUSION
The RSI Trend Bias indicator offers a streamlined yet effective approach to monitoring market momentum. By leveraging the established principles of RSI analysis alongside dynamic visual cues, it enables traders to quickly identify bullish and bearish trends. Its customizable features and clear threshold indicators make it a valuable tool for enhancing technical analysis and making informed trading decisions.
Indicator
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.
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J2S Backtest: Steven Primo`s Big Trend StrategyIs it possible to benefit from big trend moves? In this study I present you a strategy that aims to capture big trend moves.
Created by trader Steven Primo, The Big Trend strategy is advocates and shared through his YouTube channel without restrictions.
Note:
This is not an investment recommendation. The purpose of this study is only to share knowledge with the community on PulseWire.
What is the purpose of the strategy?
The strategy focuses on capturing the movement of trends, providing an entry signal for both LONG and SHORT positions.
To which time-frame of a chart is it applicable to?
According to the author, it is applicable to any chart in different markets.
What about risk management?
The author does not establish a risk management model for strategy. This is left to the definition of each trader.
How are the trends identified in this strategy?
A 20-periods Bollinger Bands with 0.382 deviation should be plotted on the chart. Prices above the upper band indicate an uptrend, on the other hand, prices below the lower band indicate an downtrend. Finally, prices between the two bands indicate sideways trend.
How to identify a signal for LONG entry?
The signal is given after five consecutive closes above the upper Bollinger band. After that, you must enter the trade after the first trade occurs above the high of the signal bar.
How to identify a signal for SHORT entry?
The signal is given after five consecutive closes below the lower Bollinger band. After that, you must enter the trade after the first trade occurs below the low of the signal bar.
Tips and tricks
In my backtest, I tried to prove the strategy from a position trading perspective, so I proposed use fixed stop-loss and take-profits. The stop-loss is defined as being low of the first bar that generated the movement until the signal bar. The value range from the stop-loss to the signal bar is used in determining the profit target. Given any trade, position closing will be triggered when the bar trading limit is reached.
Backtest features
Backtest parameters are fully customizable, for instance: number of bars inside a trend indicating trend maturity for entry, bar limit for trading entry (after a buy or sell signals). Also, the user chooses to validate only LONG or SHORT entries, or both. It is also possible to determine the specific time period for running the backtests.
Final message
In my tests, I noticed excellent results for other crypto pairs, for example: ETH/USDT, BNB/USDT, FIL/USDT, GALA/USDT and ILV/USDT. Of course, no one strategy works perfectly for every asset, crypto, and bond out there. That's why we should explore each trading model and carry out our backtests. Please, feel free to provide me with any improvement suggestions for the backtest script. Bear in mind, feel free to use the ideas in my script in your studies. Strategy
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