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GUSIGUSI Free — Adaptive Bitcoin Cycle Risk (0–100) What it does GUSI Free converts multiple cycle-relevant metrics into a single 0–100 risk score for Bitcoin. Instead of static thresholds (which tend to degrade across cycles), GUSI uses cycle-aware, time-varying trigger levels and long-horizon normalization to keep signals meaningful as the market matures. The panel shows the composite line plus actionable trigger levels that highlight overheated vs. deep-value conditions. What’s new vs. typical versions Decreasing/Sloped trigger functions: Each metric is evaluated against non-horizontal, time-adjusted thresholds so that tops don’t rely on fixed numbers that become obsolete as adoption and liquidity evolve. Long-term normalization: Outlier-resistant smoothing and z-score style lookbacks reduce distortion from short, violent swings. Composite risk mapping: Modernized component signals are transformed to a unit scale and merged into one interpretable 0–100 metric—clearer to read, harder to misread. How the model is built (proprietary, modernized components) Each element below is a modified version of a familiar idea, adapted for cycle drift and volatility profile changes: Logarithmic MACD (LMACD): Computed in log-return space with Ehlers-style smoothing, evaluated against down-sloping top and up-tilting bottom bands. MVRV-Z (regression-guided): Market-to-realized premium mapped to cycle-aware upper/lower bands that decline/rise over time rather than sit flat. NUPL / NUPL-Z blend: Tops assessed with a declining NUPL threshold, bottoms with dynamic z-score normalization, then fused to a single risk contribution. Puell Multiple (log-decay): Issuance revenue multiple measured against log-decaying top and gently rising bottom references. Weekly RSI (bottom context): A weekly momentum filter contributes only to downside risk context to avoid double-counting tops. Risk-metric construction (0–100) Each component is scaled between its cycle-aware bottom and top reference, producing a bounded unit risk. Internally weighted components are combined into one composite, then scaled to 0–100. The panel overlays trigger levels commonly used by GUSI users: Around 97 → historically consistent with top-risk environments. Around 2.5 → historically consistent with deep accumulation conditions. Background highlights and labels make these zones explicit, so the chart conveys state (distribution/accumulation) at a glance. Intended chart context Use on INDEX:BTCUSD, 1D timeframe for the designed behavior. Scope & realism This is an analytical risk model, not a promise of returns. Historical alignment with cycle extremes does not guarantee future outcomes. Always combine with independent risk management and confirm on-chain/data availability.
Pine Script® indicator
by PanduPanduPandu
EMA Ribbon - Adjustable with Toggles📌 Script Name: EMA Ribbon - Adjustable with Toggles 🧠 Primary Function: This script plots a customizable Exponential Moving Average (EMA) Ribbon on Trading View charts. It allows the user to enable or disable any of the 8 EMAs individually and shows buy/sell signals based on the crossover between the fastest and slowest EMAs. ⚙️ Key Features: ✅ User Controls: Toggle ON/OFF each of the 8 EMAs independently. Set the length of each EMA (from 1 upward). EMA colors vary based on their speed (green for faster, orange for slower). 📈 EMA Calculation: Calculates 8 separate EMAs using the closing price (close). 🎨 Chart Visualization: Plots each EMA with a unique color and transparency. Draws a colored ribbon between the highest and lowest active EMAs to visualize trend zones. 📊 Trend Direction Logic: The trend is determined solely based on EMA 1 (fastest) and EMA 8 (slowest). A bullish trend is when EMA 1 > EMA 8, and bearish when EMA 1 < EMA 8. 📍 Buy/Sell Signals: Buy Signal: When the trend shifts from bearish to bullish (EMA 1 crosses above EMA 8). Sell Signal: When the trend shifts from bullish to bearish (EMA 1 crosses below EMA 8). Signals are displayed as green (buy) and red (sell) triangles on the chart. 🔔 Alerts: Built-in alert conditions for buy and sell signals. Custom alert messages in Arabic (can be modified if needed). 🌟 Additional Highlights: Well-structured and easy to expand. Great for trend-following strategies using EMA ribbons. Helps identify consolidation zones and trend confirmation.
Pine Script® indicator
by alamery020
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.
Pine Script® indicator
by PanduPanduPandu
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.
Pine Script® indicator
by PanduPanduPandu
RSI extremes + Nasdaq 100 +Crossover of moving averages In this indicator, we integrate four main features. 1. Oversold and overbought price signals, based on the 1-minute RSI extremes, marked on the chart with a yellow triangle. 2. Combination of oversold and overbought signals in the stock price and its index (only applicable to Nasdaq 100 symbols). Marked on the chart with a green triangle for oversold and a red triangle for overbought. 3. Use of four moving averages for early trend detection: EMA 10, 20, and 45 - SMA 200. 4. Crossover of moving averages in order 10, 20, and 45. On the upside, a green cross appears; on the downside, an orange cross appears. Combine this indicator with "RSI (1 and 5m) + divergences and rsiNDX 1m " to check the signals and you will have a scalping strategy for reversals and trend following in NASDAQ 100 stocks.
Pine Script® indicator
by david3palacios
EMA Cross 99//@version=6 indicator("EMA Strategie (Indikator mit Entry/TP/SL)", overlay=true, max_lines_count=500, max_labels_count=500) // === Inputs === rrRatio = input.float(3.0, "Risk:Reward (TP/SL)", minval=1.0, step=0.5) sess = input.session("0700-1900", "Trading Session (lokal)") // === EMAs === ema9 = ta.ema(close, 9) ema50 = ta.ema(close, 50) ema200 = ta.ema(close, 200) // === Session === inSession = not na(time(timeframe.period, sess)) // === Trend + Cross === bullTrend = (ema9 > ema200) and (ema50 > ema200) bearTrend = (ema9 < ema200) and (ema50 < ema200) crossUp = ta.crossover(ema9, ema50) crossDown = ta.crossunder(ema9, ema50) // === Pullback Confirm === longTouch = bullTrend and crossUp and (low <= ema9) longConfirm = longTouch and (close > open) and (close > ema9) shortTouch = bearTrend and crossDown and (high >= ema9) shortConfirm = shortTouch and (close < open) and (close < ema9) // === Entry Signale === longEntry = longConfirm and inSession shortEntry = shortConfirm and inSession // === SL & TP Berechnung === longSL = ema50 longTP = close + (close - longSL) * rrRatio shortSL = ema50 shortTP = close - (shortSL - close) * rrRatio // === Long Markierungen === if (longEntry) // Entry line.new(bar_index, close, bar_index+20, close, color=color.green, style=line.style_dotted, width=2) label.new(bar_index, close, "Entry", style=label.style_label_left, color=color.green, textcolor=color.white, size=size.tiny) // TP line.new(bar_index, longTP, bar_index+20, longTP, color=color.green, style=line.style_solid, width=2) label.new(bar_index, longTP, "TP", style=label.style_label_left, color=color.green, textcolor=color.white, size=size.tiny) // SL line.new(bar_index, longSL, bar_index+20, longSL, color=color.red, style=line.style_solid, width=2) label.new(bar_index, longSL, "SL", style=label.style_label_left, color=color.red, textcolor=color.white, size=size.tiny) // === Short Markierungen === if (shortEntry) // Entry line.new(bar_index, close, bar_index+20, close, color=color.red, style=line.style_dotted, width=2) label.new(bar_index, close, "Entry", style=label.style_label_left, color=color.red, textcolor=color.white, size=size.tiny) // TP line.new(bar_index, shortTP, bar_index+20, shortTP, color=color.red, style=line.style_solid, width=2) label.new(bar_index, shortTP, "TP", style=label.style_label_left, color=color.red, textcolor=color.white, size=size.tiny) // SL line.new(bar_index, shortSL, bar_index+20, shortSL, color=color.green, style=line.style_solid, width=2) label.new(bar_index, shortSL, "SL", style=label.style_label_left, color=color.green, textcolor=color.white, size=size.tiny) // === EMAs anzeigen === plot(ema9, "EMA 9", color=color.yellow, linewidth=1) plot(ema50, "EMA 50", color=color.orange, linewidth=1) plot(ema200, "EMA 200", color=color.blue, linewidth=1) // === Alerts === alertcondition(longEntry, title="Long Entry", message="EMA Strategie: LONG Einstiegssignal") alertcondition(shortEntry, title="Short Entry", message="EMA Strategie: SHORT Einstiegssignal")
Pine Script® indicator
by gepp_german
BUZZARA ALGO V22BUZZARA ALGO V22 📊 BUZZARA ALGO V22 is a complete trading system built on SuperTrend with Moving Average confirmation. The indicator automatically plots Entry, Stop Loss, and three Take Profit levels (TP1, TP2, TP3). All signals are saved historically, with TP/SL background zones that remain visible until the signal is closed or replaced. Key Features: 📍 Signals: BUY/SELL entries based on SuperTrend and SMA crossover logic. 🛡️ Risk Management: ATR-based Stop Loss with automatic TP1, TP2, TP3 targets. 📦 Background Boxes: TP/SL zones plotted as persistent boxes across history. 🏷️ Price Labels: Entry, SL, and TP1/TP2/TP3 labels displayed near each level. 📊 Statistics Dashboard: Total signal count Individual win rates for TP1, TP2, TP3 Average points per trade Total PnL (calculated in R multiples) 🔔 Alerts: Ready-to-use alerts for BUY/SELL signals. 💡 Watermark: Optional “BUZZARA ALGO V22” text displayed at the bottom of the chart. Use Cases: Trade in the direction of trend signals Visually track TP/SL areas Backtest signals historically Monitor performance via win rates and PnL metrics Disclaimer ⚠️ This indicator is for educational purposes only. It does not guarantee profits. Always test on demo before going live, and apply your own risk management strategy.
Pine Script® indicator
by Digital_Buzzara
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
Pine Script® indicator
by 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.
Pine Script® indicator
by Oxlibertans
Combined Cluster & Market StructureI barrowed code from the Mxwll Price Action Suite script as appreciated the structure in which the script defined structure, however I renamed variables and reduced the original script to define only the outer structure. I added volume and CVD clustering to define ranges and initiation market structures and add the ADX to assist with determining trend strength prior to labeling market structure breaks. Combined Cluster & Market Structure indicator, a powerful and comprehensive tool for technical analysis. This script integrates two core concepts to provide a holistic view of market dynamics: Z-Score Clustering & Volume Analysis: The indicator calculates Z-scores for both volume and Cumulative Volume Delta (CVD) to categorize market activity into six distinct clusters: High-Conviction Bullish/Bearish: Signals of strong directional momentum based on high volume and corresponding CVD. Effort vs. Result: High volume with moderate CVD, suggesting potential indecision or absorption. Quiet Accumulation/Distribution: Low-volume periods with strong CVD, often preceding major moves. Low Conviction/Noise: Represents periods of low market participation and weak signals. These clusters are visually marked on the chart to provide real-time insight into market sentiment. Market Structure Mapping: The indicator automatically detects and labels significant structural points to help you navigate price action. It identifies: Higher Highs (HH) and Lower Lows (LL) to show the primary trend direction. Breaks of Structure (BoS), indicating trend continuation. Changes of Character (CHoCH), signaling a potential trend reversal. Additionally, the script features consolidation box detection, which automatically highlights periods of low-conviction market activity, helping you avoid choppy, sideways markets. An integrated ADX filter ensures that structural breaks are only labeled during periods of strong trend strength, reducing false signals. I want to thank Mxwll Capital for their contribution to the Combined Cluster & Market Structure indicator.
Pine Script® indicator
by immediatePerso44773
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