GUSI BasicGUSI Basic — Adaptive Bitcoin Cycle Risk
What it does
GUSI Basic calculates a 0–100 risk score for Bitcoin cycles using a blend of adapted on-chain and market signals. Unlike traditional versions of NUPL, MVRV, or Puell Multiple that rely on static thresholds, GUSI introduces sloped trigger lines and long-term normalization techniques. This makes the logic responsive to Bitcoin’s structural changes over time, keeping signals relevant across multiple cycles.
Key features
Dynamic thresholds: Instead of fixed horizontal levels, each signal uses sloped functions that decrease or increase gradually, reflecting the evolving maturity of the Bitcoin market.
Noise reduction: Long-term smoothing and z-score normalization help filter out extreme volatility and short-term distortions.
Composite score: Multiple proprietary adaptations are merged into a single, intuitive risk scale that simplifies interpretation without oversimplifying the data.
Component transparency: Users can enable or disable individual elements to see how each contributes to the composite model.
Signals included
Logarithmic MACD with cycle-aware thresholds
MVRV-Z Regression with declining bands
Net Unrealized Profit/Loss with z-score normalization
Puell Multiple with logarithmic decay
Weekly RSI Momentum filter for cycle lows
How to use
Apply on INDEX:BTCUSD, 1D chart for the intended view.
Readings near 97 have historically aligned with overheated market conditions.
Readings near 2.5 have marked deep accumulation zones.
Labels and background colors provide direct visual cues for both accumulation and distribution phases.
Summary
GUSI Basic adapts classic on-chain metrics to today’s Bitcoin market. By replacing static thresholds with sloped functions and normalization, it provides a composite view that evolves with each cycle—offering traders a clearer, cycle-aware perspective.
Zyklen
GUSI ProGUSI — Adaptive Bitcoin Cycle Risk Model
Most on-chain metrics published on TradingView — such as NUPL, MVRV, or Puell Multiple — were once reliable in past cycles but have lost accuracy. The reason is simple: their trigger levels are static, while Bitcoin’s market structure changes over time. Tops have formed lower each cycle, yet the traditional horizontal thresholds remain unchanged.
What GUSI does differently:
It introduces sloped trigger functions that decrease over time, adapting each metric to Bitcoin’s maturing market.
It applies long-term normalization methods (smoothing and z-score lookups) to reduce distortion from short-term volatility and extreme outliers.
It only includes signals that remain valid across all Bitcoin cycles since 2011, discarding dozens of popular on-chain ideas that fail even after adjustment.
How GUSI is built:
GUSI is not just a mashup of indicators. Each component is a proprietary, modified version of a known on-chain signal:
Logarithmic MACD with declining trigger bands
MVRV-Z Score Regression with cycle-aware slopes
Net Unrealized Profit/Loss Ratio normalized with dynamic z-scores
Puell Multiple with logarithmic decay
Weekly RSI momentum filter for bottoms
Optional Pi Cycle Top logic with sloped moving averages
These are combined into a composite risk scoring system (0–100). Every signal contributes to the score according to user-defined weights, and each can be toggled on/off. The end result is a flexible model that adapts to long-term changes in Bitcoin’s cycles while staying transparent in its logic.
How to use it:
Scores near 97 indicate historically high-risk conditions (cycle tops).
Scores near 2.5 highlight deep accumulation zones (cycle bottoms).
Background colors and labels make the conditions clear, and built-in alerts let you automate your strategy.
GUSI is designed for the INDEX:BTCUSD 1D chart and works best when viewed in that context.
In short: GUSI makes classic on-chain indicators relevant again by adapting them to Bitcoin’s evolving market cycles. Instead of relying on static thresholds that stop working over time, it introduces dynamic slopes, normalization, and a weighted composite framework that traders can adjust themselves.
For explanations, customization guides, and support, visit gusi-signal.com.
EMP Probabilistic [CHE]Part 1 — For Traders (Practical Overview, no formulas)
What this tool does
EMP Probabilistic \ turns raw price action into a clean, probability-aware map. It builds two adaptive bands around the session open of a higher timeframe you choose (called the S-timeframe) and highlights a robust median threshold. At a glance you know:
Where price has recently tended to stay,
Whether current momentum sits above or below the median, and
A live Long vs. Short probability based on recent outcomes.
Why it improves decisions
Objective context in any regime: The nonparametric band comes straight from recent market behavior, without assuming a particular distribution.
Volatility-aware risk lens: The parametric band adapts to current volatility, helping you judge stretch and room for continuation or snap-back.
No lookahead: All stats update only after an S-bar is finished. That means the panel reflects information you truly had at that time.
How to read the chart
Orange band = empirical, distribution-free range derived from recent session returns (nonparametric).
Teal band = volatility-scaled range around the session open (parametric).
Median dots: green when close is above the median threshold, red when below.
Info panel: shows the active S-timeframe, window sizes, live coverage for both bands, the internal width parameter and volatility estimate, plus a one-line summary.
Probability label: “Long XX% • Short YY%” — a simple read on the recent balance of up vs. down S-bars.
How to use it (quick start)
1. Choose S-timeframe with Auto, Multiplier, or Manual. “Auto” scales your chart TF up to a sensible higher step.
2. Set alpha to control how tight the inner band should be. A typical value gives you a comfortable center zone without cutting off healthy trends.
3. Trade the context:
Trend-following: Prefer longs when price holds above the median; prefer shorts when it stays below.
Mean-reversion: Fade moves near the outer edges during ranges; look for reversion back toward the median.
Breakout filter: Require closes that push and hold beyond the volatility band for momentum plays; avoid noise when price chops inside the middle of the orange band.
Risk management made practical
Size positions relative to the teal band width to keep risk consistent across instruments and regimes.
For stops, many traders set them just beyond the opposite orange bound or use a fraction of the teal band.
Watch the panel’s coverage readouts and Brier score; when they deteriorate, the market may be shifting — reduce size or demand stronger confirmation.
Suggested presets
Scalping (Crypto/FX): Auto S-TF, alpha around a fifth, calibration window near two hundred, RS volatility, metrics window near two hundred.
Intraday Futures: Multiplier 3–5× your chart TF; similar alpha and window sizes; RS volatility is a solid default.
Swing/Equities: S-TF at least daily; test both RS and GK volatility modes; keep windows on the larger side for stability.
What makes it different
Two complementary lenses: a distribution-free read of recent behavior and a volatility-scaled read for risk and stretch.
Self-calibrating width: the parametric band quietly nudges its internal multiplier so actual coverage tracks your target.
Clean UX: grouped inputs, tooltips, an info panel that tells you what’s going on, and a simple median bias you can act on.
Repainting & timing
The logic updates only when the S-bar closes. On lower-timeframe charts you’ll see intrabar flips of the dot color — that’s just live price moving around. For strict signals, confirm on S-bar close.
Friendly note (not financial advice)
Use this as a context engine. It won’t predict the future, but it will keep you on the right side of probability and volatility more often, which is exactly where consistency starts.
Part 2 — Under the Hood (Conceptual, no formulas)
Data and timeframe design
The script works on a higher S-timeframe you select. It fetches the open, high, low, close, and time of that S-bar. Internally, it only updates its rolling windows after an S-bar has finished. It then pushes the previous S-bar’s statistics into its arrays. That design removes lookahead and keeps the metrics out-of-sample relative to the current S-bar.
Nonparametric band (distribution-free)
The orange band comes from the empirical distribution of recent session-level close-minus-open moves. The script keeps a rolling window, sorts a safe copy, and reads three key points: a lower bound, a median, and an upper bound. Because it’s based purely on observed outcomes, it adapts naturally to skew, fat tails, and regime shifts without assuming any particular shape. The orange range shows “where price has tended to live” lately on the chosen S-timeframe.
Parametric band (volatility-scaled)
The teal band models log-space variability around the session open using one of two well-known OHLC volatility estimators: Rogers–Satchell or Garman–Klass. Each estimator contributes a per-bar variance figure; the script averages these across the rolling window to form a current volatility scale. It then builds a symmetric band around the session open in price space. This gives you a volatility-aware notion of stretch that complements the distribution-free orange band.
Self-calibration of band width
The teal band has an internal width multiplier. After each completed S-bar the script checks whether the realized move stayed inside that band. If the band was too tight, the multiplier is nudged upward; if it was too loose, it’s eased downward. A simple learning rate governs how quickly it adapts. Over time this keeps the realized inside-coverage close to the target implied by your alpha setting, without you having to hand-tune anything.
Long/Short probability and calibration quality
The Long vs. Short probability is a transparent statistic: it’s just the recent fraction of up sessions in the rolling window. It is not a complex model — and that’s the point. You get an honest, intuitive read on directional tendency.
To monitor how well this simple probability lines up with reality, the script tracks a Brier-style score over a separate metrics window. Lower is better: it means your recent probability read has matched outcomes more closely.
Coverage tracking for both bands
The panel reports coverage for the orange band (nonparametric) and the teal band (parametric). These are rolling averages of how often recent S-bar moves landed inside each band. Watching these two numbers tells you whether market behavior still aligns with the recent distribution and with the current volatility model.
Why it doesn’t repaint
Because the arrays update only when an S-bar closes and only push the previous bar’s stats, the panel and metrics reflect information you had at the time. Intrabar visuals can change while a bar is forming — that’s expected — but the decision framework itself is anchored to completed S-bars.
Performance and practicality
The heaviest step is sorting a copy of the window for the nonparametric band. With typical window sizes this stays responsive on TradingView. The volatility estimators and rolling averages are lightweight. Inputs are grouped with clear tooltips so you can tune without hunting.
Limitations and good practice
In thin or gappy markets the bands can jump; consider a larger window or a higher S-timeframe.
During violent regime shifts, shorten the window and increase the learning rate slightly so the teal band catches up faster — but don’t overdo it, or you’ll chase noise.
The Long/Short probability is intentionally simple; it’s a context indicator, not a standalone signal factory. Combine it with structure, volume, or your execution rules.
Takeaway
Under the hood, the script blends empirical behavior and volatility scaling, then self-calibrates so the teal band’s real-world coverage stays near your target. You get clarity, consistency, and a dashboard that tells you when its own assumptions are holding up — exactly what you need to trade with confidence.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Best regards and happy trading
Chervolino
Trading Session GMT +7Many indicators display buy and sell signals, but this indicator doesn't.
Many indicators also collect data or even predict chart direction, but this indicator doesn't.
This indicator displays market opening session times based on the Asian, London, and New York sessions.
These sessions typically record higher trading volumes, for both direct and derivative trading.
To maximize this indicator, utilize your analytical skills to maximize profits.
Please note that this indicator only displays session times and does not provide buy or sell signals.
We hope this session time information is helpful for those who trade based on session times.
Asian Stock Open (00:00 UTC Daily)Simple TSE daily open indicator, 500 line history, to help prepare for potential weekly open volatility from Asia trading
15m Continuation — prev → new (v6, styled)This indicator gives you backtested statistics on how often reversals vs continuations occur on 15 minute candles on any pair you want to trade. This is great for 15m binary markets like on Polymarket.
Price Level Highlighter [ldlwtrades]This indicator is a minimalist and highly effective tool designed for traders who incorporate institutional concepts into their analysis. It automates the identification of key psychological price levels and adds a unique, dynamic layer of information to help you focus on the most relevant area of the market. Inspired by core principles of market structure and liquidity, it serves as a powerful visual guide for anticipating potential support and resistance.
The core idea is simple: specific price points, particularly those ending in round numbers or common increments, often act as magnets or barriers for price. While many indicators simply plot static lines, this tool goes further by intelligently highlighting the single most significant level in real-time. This dynamic feature allows you to quickly pinpoint where the market is currently engaged, offering a clear reference point for your trading decisions. It reduces chart clutter and enhances your focus on the immediate price action.
Features
Customizable Price Range: Easily define a specific Start Price and End Price to focus the indicator on the most relevant area of your chart, preventing unnecessary clutter.
Adjustable Increment: Change the interval of the lines to suit your trading style, from high-frequency increments (e.g., 10 points) for scalping to wider intervals (e.g., 50 or 100 points) for swing trading.
Intelligent Highlighting: A key feature that automatically identifies and highlights the single horizontal line closest to the current market price with a distinct color and thickness. This gives you an immediate visual cue for the most relevant price level.
Highly Customizabile: Adjust the line color, style, and width for both the main lines and the highlighted line to fit your personal chart aesthetic.
Usage
Apply the indicator to your chart.
In the settings, input your desired price range (Start Price and End Price) to match the market you are trading.
Set the Price Increment to your preferred density.
Monitor the chart for the highlighted line. This is your active price level and a key area of interest.
Combine this tool with other confirmation signals (e.g., order blocks, fair value gaps, liquidity pools) to build higher-probability trade setups.
Best Practices
Pairing: This tool is effective across all markets, including stocks, forex, indices, and crypto. It is particularly useful for volatile markets where price moves rapidly between psychological levels.
Mindful Analysis: Use the highlighted level as a reference point for your analysis, not as a standalone signal. A break above or below this level can signify a shift in market control.
Backtesting: Always backtest the indicator on your preferred market and timeframe to understand how it performs under different conditions.
Price Level HighlighterThis indicator is a minimalist and highly effective tool designed for traders who incorporate institutional concepts into their analysis. It automates the identification of key psychological price levels and adds a unique, dynamic layer of information to help you focus on the most relevant area of the market. Inspired by core principles of market structure and liquidity, it serves as a powerful visual guide for anticipating potential support and resistance.
The core idea is simple: specific price points, particularly those ending in round numbers or common increments, often act as magnets or barriers for price. While many indicators simply plot static lines, this tool goes further by intelligently highlighting the single most significant level in real-time. This dynamic feature allows you to quickly pinpoint where the market is currently engaged, offering a clear reference point for your trading decisions. It reduces chart clutter and enhances your focus on the immediate price action.
Features
Customizable Price Range: Easily define a specific Start Price and End Price to focus the indicator on the most relevant area of your chart, preventing unnecessary clutter.
Adjustable Increment: Change the interval of the lines to suit your trading style, from high-frequency increments (e.g., 10 points) for scalping to wider intervals (e.g., 50 or 100 points) for swing trading.
Intelligent Highlighting: A key feature that automatically identifies and highlights the single horizontal line closest to the current market price with a distinct color and thickness. This gives you an immediate visual cue for the most relevant price level.
Highly Customizabile: Adjust the line color, style, and width for both the main lines and the highlighted line to fit your personal chart aesthetic.
Usage
Apply the indicator to your chart.
In the settings, input your desired price range (Start Price and End Price) to match the market you are trading.
Set the Price Increment to your preferred density.
Monitor the chart for the highlighted line. This is your active price level and a key area of interest.
Combine this tool with other confirmation signals (e.g., order blocks, fair value gaps, liquidity pools) to build higher-probability trade setups.
Best Practices
Pairing: This tool is effective across all markets, including stocks, forex, indices, and crypto. It is particularly useful for volatile markets where price moves rapidly between psychological levels.
Mindful Analysis: Use the highlighted level as a reference point for your analysis, not as a standalone signal. A break above or below this level can signify a shift in market control.
Backtesting: Always backtest the indicator on your preferred market and timeframe to understand how it performs under different conditions.
Trend + Squeeze with Fast Flexible Transition ESGood for ES.
Trend and Squeeze with Fast Flexible Transition
Good for ES.
Breakout ORB + HTF EMA + ATR Targets (America/Denver)This is a perfect simple chart for those trading Crypto pairs between the London and US market overlays.
Moving Averages with Alerts: 9, 21, 51, 100, 144, 200---
This indicator plots six configurable moving averages (MA) with options for EMA, SMA, RCI, HMA, and Pivô Boss types. It highlights key crossover points, especially monitoring the 9-period MA for crosses with others. Users can enable alerts for these crossovers, as well as set custom alerts between any two selected MAs. Additionally, the indicator marks the important crossovers of the 51 and 200 MAs on the chart with an “X”. This helps traders identify trend changes and potential entry or exit points efficiently.
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SigFinder V8 (By Jackie Mah)Candlestick Price Action & Signal Finder with Alerts system and text customization.
ML RSI - imaclone.xUltimate Multi-Resolution RSI
Developed by imaclone.x.
Last Updated: August 21st 2025
A single indicator that fuses my ML-RSI.ai pipeline with a classic multi-timeframe RSI. One script, dual-resolution oscillators if desired, plus a machine-learning similarity engine and modular signal-processing layers.
What it does
* Primary RSI augmented with KNN similarity engine (K, lookback, weighting). Feature embeddings include RSI magnitude, RSI momentum, volatility surface, regression slope, and price momentum vectors.
* Adaptive smoothing stack: Kalman filter recursion, Double EMA cascades, or ALMA convolution.
* Multi-resolution control for the primary oscillator timeframe.
* Optional *second* RSI projected from any timeframe for hierarchical confluence.
* Advanced visuals: upper/lower thresholds, midline, background regime highlighting, crossovers, and B/S event labels.
* Color architectures: None, Trend-Following (50-line bifurcation), or Impulse (band-breach). Optional bar tinting for full-chart context.
Inputs (groups)
* Timeframe Settings: primary + secondary RSI TF/lengths.
* Levels & Visuals: thresholds, highlights, cross events, B/S markers.
* RSI Base: smoothing toggle, MA class, ALMA sigma.
* KNN Machine Learning: enable, K neighbors, historical window, feature dimensionality, ML weighting.
* Advanced Filtering: method + intensity.
* Coloring: None, Trend-Following, Impulse.
Signals
* B flag when ML-RSI crosses upward through the lower threshold.
* S flag when ML-RSI crosses downward through the upper threshold.
* Secondary RSI = higher-timeframe confirmation, not standalone trigger.
Usage notes
* Raise ML weight + feature dimensionality for deeper similarity recognition; lower them for classic oscillator behavior.
* Kalman recursion delivers adaptive, low-lag smoothing; Double EMA and ALMA yield stronger dampening.
* Typical config: intraday primary RSI + higher-TF secondary RSI for regime anchoring.
Changelog
* v6 merge: Unified CM-style MTF RSI framework with my KNN-enhanced kernel and filter stack. One composite indicator replaces multiple scripts.
Credits
* MTF band logic inspired by earlier open-source frameworks.
* ML kernel and implementation by imaclone.x.
Disclaimer
For research and algorithmic experimentation only. No signals guaranteed.
And please kindly, for the love of God, DYOFR.
1H FVG Zones Only (5m & 1h)new uses trend anaylosis. takes 15 min chart and breaks into 1hr chart fvg gaps
Sessions RangeThis script clearly displays the price ranges (High–Low) of the main sessions—Sydney, Tokyo, London, and New York—with boxes on the chart and marked levels. Level labels can display price and date (or day of the week) in the time zone of your choice (GMT).
Main Features
Boxes by session: Visually highlight the range for each session.
High/Low levels: Lines at the session extremes, with configurable length.
Smart labels: If you choose to show "on the right," only active (unmitigated) levels track the price; when mitigated, they return to their starting point, keeping the chart clean.
Flexible date: Choose between day of the month (with time) or day of the week.
Alerts (optional): Notification when a level is broken.
Notes
The time zone displayed on the labels follows the chosen GMT, regardless of the chart time zone.
You can choose to extend levels until they are mitigated or beyond, depending on your reading.
eksOr - Charm + Vanna Window (Monthly OPEX)What This Does
This indicator highlights the monthly “Charm + Vanna window” around standard monthly options expiration (the 3rd Friday, i.e., monthly OPEX). It’s a time-based overlay that shades either:
Pre-OPEX: from the first calendar day of the month through the day before OPEX, or
Post-OPEX: from OPEX (3rd Friday) through month-end.
Use it to quickly see periods when index/stock flows are often influenced by charm (delta change from time decay) and vanna (delta change from IV moves), which can impact intramonth behavior.
How It Works
Automatically computes the third Friday each month (monthly OPEX) in your chosen timezone.
Lets you nudge the default window with Start/End calendar-day offsets (±10) to match your playbook.
Optionally draws vertical dotted lines and S/E labels on the bars where the window starts/ends.
Shows a compact table (top-right) with the current mode and the Start/End dates of the active month.
Triggers alerts on the exact bars where the window STARTS and ENDS.
Inputs
Window Mode: Pre-OPEX (start → OPEX-1) or Post-OPEX (OPEX → month end)
Timezone: Select from common exchanges/regions
Start/End Offsets: Shift boundaries by calendar days (e.g., start +2, end −1)
Style: Toggle shading, transparency, color, and start/end lines/labels
Why it’s useful
Many traders track the pre-OPEX build-up and post-OPEX reset for potential flow-driven behavior.
This tool doesn’t predict direction; it frames time so you can align other signals (price, breadth, vol, dealer positioning, etc.) within a consistent monthly structure.
Notes & limitations
This is not a signal or guarantee of charm/vanna effects—just a calendar window commonly associated with them.
OPEX logic uses the standard 3rd Friday (monthly equity/index options). It does not account for special exchange holidays or instrument-specific settlement quirks.
For best results, combine with your own vol/positioning dashboards (IV, skew, gamma exposure, open interest changes, etc.).
Tips
Use Pre-OPEX mode to visualize potential decay/roll dynamics into OPEX.
Use Post-OPEX mode to frame potential position resets into month-end.
Adjust offsets to match how your market/instrument tends to behave (e.g., start earlier if flows show up sooner).
SatoshiFrame Elliott WaveAuto Elliott Wave Counter – Automatically detects and labels Elliott Waves on your chart. Simple, fast, and customizable for smarter market analysis.
KA Weekly Open (Apertura Semanal)KA Weekly Open (Current Week Only)
This indicator automatically plots a horizontal line at the weekly opening price on your chart.
The line updates each week with the new weekly open.
Historical weekly lines remain fixed (not extended).
The current week’s line extends to the left, and the price label is shown on the right side of the chart, near the price scale.
You can adjust the label’s offset from the scale using the input settings.
Дни недели и торговые сесииIndicator for visual analysis by trading sessions and days.
Индикатор для наглядного анализа по торговым сесиям и дням.
SatoshiFrame Liquidity SwingsLiquidity Pleasre: Identifies key liquidity zones on the chart with colored clouds and a bottom-pane Liquidity Index, helping traders spot potential support, resistance, and high-volume reversal areas.
Weekly GridWeekly Grid Indicator
What It Does
Weekly Grid tracks Sunday 4:00 PM to Monday 4:00 PM (UTC-7) price ranges and plots high/low horizontal lines with vertical period markers. Helps identify weekly support/resistance levels.
Key Features
Period: Sun 4PM - Mon 4PM (UTC-7)
Lines: 2px thick high/low levels with price labels
Verticals: Green lines marking period boundaries
Alerts: Price breaks above high/below low
Lookback: Adjustable historical periods (default 1000 bars)
Trading Applications
Breakouts: Trade breaks of weekly high/low
Range: Fade approaches to extreme levels
Support/Resistance: Use as key weekly pivots
Alerts: Get notified of level breaks
Best For
Day traders seeking weekly structure
Swing traders using weekly pivots
Anyone wanting Sunday-Monday momentum levels
Simple weekly levels. Clear trading signals.
Copy the Pine Script code, add to TradingView, and start trading the levels.
Quarterly Theory Markers[DarkKnightDrako]
Quarterly Theory Zones
Grayscale Chart Color ( Background colors can be changed)
12PM - 12PM with Asia, London, NewYork AM, NewYork PM lines.