Mystic Pulse V2.0 [CHE] Mystic Pulse V2.0 — Adaptive DI streaks with gradient intensity for clearer trend persistence
Summary
Mystic Pulse V2.0 measures directional persistence by counting how often the positive or negative directional index strengthens and dominates. These counts drive gradient colors for bars, wicks, and helper plots, so intensity reflects local momentum rather than absolute values. A windowed normalization and gamma control adapt the visuals to recent conditions, preventing one regime from overpowering the next. The result is an immediate, at-a-glance read of trend direction and stamina without relying on crossovers alone.
Motivation: Why this design?
Classical DI and ADX signals can flip during choppy phases or feel sluggish in calm regimes. This script focuses on persistence: it increments a positive or negative streak only when the corresponding directional pressure both strengthens compared with the prior bar and dominates the other side. Simple OHLC pre-smoothing reduces micro-noise, and local normalization keeps the scale relevant to the last segment of data, not a distant past.
What’s different vs. standard approaches?
Reference baseline: Traditional DI and ADX lines with crossovers and fixed-scale thresholds.
Architecture differences:
Wilder-style recursive smoothing on true range and directional movement.
Streak counters for positive and negative pressure that advance only on strengthening and dominance.
Windowed normalization and gamma shaping for visual intensity.
Wick coloring via `plotcandle` with forced overlay from a pane indicator.
Practical effect: Bars and wicks grow more vivid during sustained pressure and fade during indecision. The column plots show streak depth directly, which helps filter one-bar flips.
How it works (technical)
1. Pre-smoothing: Open, high, low, and close are averaged over a short simple moving window to dampen micro-ticks.
2. Directional inputs: True range and directional movement are formed from the smoothed prices, then recursively smoothed using a Wilder-style update that carries prior state forward.
3. DI comparison: The script derives positive and negative directional ratios relative to smoothed range. A side advances its streak when it increases compared with the previous bar and exceeds the opposite side. The other streak resets.
4. Trend score and color base: The difference between positive and negative streaks defines the active side.
5. Normalization and gamma: The absolute streak magnitude and each side’s streak are normalized within a rolling window. Gamma parameters reshape intensity so mid-range values are either compressed or emphasized.
6. Rendering:
Two column plots show positive and negative streak counts in the pane with gradient colors.
A square marker at the bottom uses the global gradient as a compact heat cue.
Bar colors on the main chart use either the gradient, neutral trend colors, or no paint depending on toggles.
Wick, border, and candle overlays are colored via `plotcandle` with forced overlay.
7. State handling: Smoothed values and counters persist across bars; initialization uses first available values without lookahead. No higher-timeframe requests are used, so repaint risk is limited to normal live-bar evolution.
Parameter Guide
Show neutral candles (fallback) — Paints main-chart bars in plain up or down colors when gradients are disabled — Default false — Use when you prefer simple up/down coloring.
Show last N shapes — Limits bottom square markers — Default 333 — Reduce if your chart gets cluttered.
ADX smoothing length — Controls the Wilder smoothing window for range and directional movement — Default 9 — Larger values increase stability but respond later.
OHLC SMA length — Pre-smoothing for inputs — Default 1 — Increase slightly on noisy assets to reduce flip risk.
Gradient barcolor — Enables gradient bar paint on the main chart — Default true — Turn off to use wicks only or neutral bars.
Wick coloring — Colors wicks, borders, and bodies via overlay — Default true — Disable if it conflicts with other overlays.
Gradient window — Lookback for local normalization — Default 100 — Shorter windows adapt faster; longer windows provide steadier intensity.
Gradient transparency — Overall transparency for gradient paints — Default 0 — Increase to make gradients subtler.
Gamma bars/shapes — Contrast for bar and shape intensity — Default 0.70 — Lower values brighten mid-tones; higher values compress them.
Gamma plots — Contrast for the column plots — Default 0.80 — Tune separately from bar intensity.
Wick transparency — Transparency for wick coloring — Default 0 — Raise to let price action show through.
Up/Down colors (dark and neon) — Base and accent colors for both directions — Defaults as provided — Adjust to match your chart theme.
Reading & Interpretation
Pane columns: The green column represents the positive streak count; the red column represents the negative streak count. Taller columns signal stronger persistence.
Gradient marker: The bottom square indicates the active side and persistence strength at a glance.
Main-chart bars and wicks: Color direction shows the dominant side; intensity reflects the normalized and gamma-shaped streak magnitude. Faded tones suggest weak or fading pressure.
Practical Workflows & Combinations
Trend following: Enter in the direction of the active side when the corresponding column expands over several bars. Confirm with structure such as higher highs and higher lows or lower highs and lower lows.
Exits and stops: Consider scaling out when intensity fades toward mid-range while structure stalls. Tighten stops after extended streaks or when wicks lose intensity.
Multi-asset/Multi-TF: Use defaults for liquid assets on intraday to swing timeframes. For highly volatile instruments, raise smoothing and the normalization window. For calm markets, lower them to regain sensitivity.
Behavior, Constraints & Performance
Repaint/confirmation: Values update during the live bar and stabilize after bar close. No historical repaint beyond normal live-bar updates.
security()/HTF: Not used; cross-timeframe repaint paths do not apply.
Resources: Declared `max_bars_back` two thousand; no explicit loops or arrays; plot and label limits are generous.
Known limits: Streak counters can remain elevated during slow reversals. Very short normalization windows can cause rapid intensity swings. Gaps or extreme spikes may temporarily distort intensity until the window adapts.
Sensible Defaults & Quick Tuning
Start with: ADX smoothing nine, OHLC SMA one, normalization window one hundred, gradient and wick coloring enabled, gamma around zero point seven to zero point eight.
Too many flips: Increase ADX smoothing and the normalization window; consider a small bump in OHLC SMA.
Too sluggish: Decrease ADX smoothing and the normalization window.
Colors overpower chart: Increase gradient and wick transparency or raise gamma to compress mid-tones.
What this indicator is—and isn’t
This is a visualization and signal layer that represents directional persistence and intensity. It does not issue trade entries or exits on its own and is not predictive. Use it alongside market structure, volume, and risk controls.
Disclaimer
The content, including any code, is for educational and informational purposes only and does not constitute financial advice or a recommendation to buy or sell any instrument. Trading involves substantial risk, including the possible loss of principal. Past performance is not indicative of future results. Always do your own research and consider consulting a qualified professional.
Cycles
Quarterly Theory - 90m Cycles This Indicator Give you the Exact 90 mins cycles for the market and add background colors to each session over it.
EMA 89 và EMA 34 - MTF AlertEMA34/89 in MTF and alert. If you want to find indicator for alert, I thing it for you
TRP Stop-Loss_Trailing SL# TRP Stop-Loss Indicator
## Overview
The TRP (True Range Percentage) Stop-Loss indicator is an advanced volatility-based stop-loss tool that provides dynamic position protection based on market volatility. Unlike traditional ATR-based indicators, TRP calculates volatility as a percentage of price, offering superior adaptability across different price ranges and market conditions.
## What is TRP and Why It's Superior to ATR
### TRP (True Range Percentage)
TRP calculates the true range as a percentage of the closing price, providing a **normalized volatility measure**. The formula is:
```
TRP = (True Range / Close) × 100
```
### Key Advantages of TRP over ATR:
1. **Price-Normalized Volatility**: TRP automatically adjusts for different price levels, making it equally effective whether you're trading a $10 stock or a $1000 stock.
2. **Percentage-Based Risk**: TRP gives you direct percentage risk values, making position sizing and risk management more intuitive.
3. **Better Cross-Market Comparison**: Unlike ATR, TRP allows you to compare volatility across different instruments on an equal basis.
4. **Adaptive to Market Conditions**: TRP naturally scales with price movements, providing more relevant stop-loss levels during trending markets.
5. **Consistent Risk Exposure**: Maintains consistent percentage risk regardless of the underlying asset's price level.
## Indicator Features
### 🎯 **Dual Stop-Loss System**
- **Long SL**: Red line below price for long positions
- **Short SL**: Blue line above price for short positions
- Independent control for each direction
### ⚙️ **Advanced Calculation Options**
#### **Multiple TRP Calculation Sources:**
- **Current Candle**: Uses real-time running candle data
- **Previous Close**: Uses completed candle data (default)
- **Last Green Candle**: For longs - uses TRP from the most recent bullish candle
- **Last Red Candle**: For shorts - uses TRP from the most recent bearish candle
#### **Independent Multipliers:**
- Separate multiplier controls for long and short stop-losses
- Adjust risk levels independently (0.1x to 10x+ range)
- Fine-tune stop-loss distance based on your risk tolerance
### 📊 **Visual Customization**
- **Line Styles**: Solid, dashed, or dotted lines
- **Custom Colors**: Separate color controls for long/short SL
- **Line Width**: Adjustable thickness (1-10)
- **Extension**: Customizable projection bars to the right
### 🏷️ **Smart Labeling System**
- **Value Display**: Shows exact SL price on the right side of lines
- **Toggle Control**: Enable/disable labels as needed
- **Size Options**: 5 different label sizes (tiny to huge)
- **Color Coordination**: Labels match their respective line colors
### ⏰ **Multi-Timeframe Support**
- Calculate TRP on any timeframe while viewing on another
- Default: Daily TRP calculation for intraday charts
- Maintains calculation integrity across timeframe switches
## How to Use
### Basic Setup:
1. Add the indicator to your chart
2. Select your preferred timeframe for TRP calculation
3. Choose calculation source for long and short positions
4. Adjust multipliers based on your risk tolerance
### Risk Management Applications:
- **Conservative**: Use 0.5-0.8 multipliers for tighter stops
- **Standard**: Use 1.0 multiplier for normal volatility-based stops
- **Aggressive**: Use 1.2-2.0 multipliers for wider stops in volatile markets
### Advanced Strategies:
- **Trend Following**: Use "Last Green/Red Candle" sources to adapt to momentum changes
- **Breakout Trading**: Use "Current Candle" for real-time stop adjustments
- **Swing Trading**: Use "Previous Close" for stable, confirmed levels
## Key Benefits
✅ **Dynamic Adaptation**: Automatically adjusts to changing market volatility
✅ **Percentage Risk Control**: Direct percentage-based risk management
✅ **Multi-Strategy Compatible**: Works with scalping, day trading, and swing trading
✅ **Visual Clarity**: Clean, professional chart display with customizable appearance
✅ **Real-Time Updates**: Instant recalculation when settings change
✅ **No Overlapping Lines**: Smart line management prevents chart clutter
## Best Practices
1. **Backtest First**: Test different multiplier settings on historical data
2. **Market Adaptation**: Adjust multipliers based on current market volatility regime
3. **Combine with Other Signals**: Use TRP stops with your existing entry signals
4. **Position Sizing**: Use TRP percentage values for consistent position sizing
5. **Regular Review**: Periodically review and adjust settings based on performance
## Technical Specifications
- **Pine Script Version**: v6
- **Overlay**: Yes (draws directly on price chart)
- **Calculations**: Based on 50-period EMA of TRP values
- **Updates**: Real-time with automatic line management
- **Performance**: Optimized for fast execution and minimal lag
This indicator is ideal for traders who want professional-grade, volatility-adaptive stop-loss management with the flexibility to fine-tune risk parameters across different market conditions and trading styles.
Volume weighted Forex Overwiew True Strenght IndexAdding volume weighting to the FOTSI strategy improves its effectiveness by making the indicator more sensitive to periods of high market activity. Here’s how:
Market Relevance: Futures volume reflects institutional and large trader participation. When volume is high, price moves are more likely to be meaningful and less likely to be noise.
Dynamic Weighting: By multiplying each currency’s momentum by its normalized futures volume, the indicator gives more weight to currencies that are actively traded at that moment, making signals more robust.
Filtering Out Noise: Low-volume periods are down-weighted, reducing the impact of illiquid or less relevant price changes.
Better Timing: Signals generated during high-volume periods are more likely to coincide with real market moves, improving entry and exit timing.
QTheoryQTheory –
This indicator is built on Quarterly Theory (developed by Daye)
🔹 Quarterly Theory
Markets often unfold in repeating quarterly cycles (Q1–Q4) across multiple timeframes — yearly, monthly, weekly, daily, 90-minute, and even micro cycles. By dividing price action into these quarters, traders can better anticipate structural shifts, accumulation/distribution phases, and liquidity runs.
🔹 Sequential SMT (SSMT)
Sequential SMT extends standard SMT (Smart Money Technique) by comparing multiple assets (such as FX majors) to identify divergences across quarters.
🔹 Features of QTheory
Automatic detection of quarterly cycles across multiple timeframes.
Visual cycle boxes & customizable dividers.
Integrated SSMT signals with divergence line visualization.
DFR (Defining Range) with Fibonacci levels.
Support for up to 5 comparison assets, with inversion options.
Auto-cycle selection for seamless multi-timeframe adaptation.
Extensive customization for colors, opacity, and signal display.
🔹 How it works
QTheory divides price data into consistent “quarters” across multiple timeframes. Within each cycle, it tracks highs, lows, and divergences, then overlays this information as boxes, dividers, and optional signals on your chart. Traders can use these visual cues to better align entries and exits with institutional market behavior patterns.
🔹 How to use it
Enable the desired cycle type (e.g., weekly, daily, 90-minute) from the settings.
Toggle boxes, dividers, and signals depending on your trading style.
Use SSMT divergences and DFR Fibs to anticipate a reversal
Compare against other assets (e.g., DXY or correlated pairs) to refine confluence.
⚠️ Disclaimer: This tool is for educational purposes only. It does not constitute financial advice. Always perform your own analysis and risk management.
Attribution: Portions of this script extend the quarter-cycle logic from TFlab’s “Quarterly Theory ICT 04”, released under the Mozilla Public License 2.0
30m stratDefine a time range, and the indicator will highlight it with a shaded area
This indicator lets you visualize higher timeframe levels while viewing a lower timeframe chart.
FAILED 9Define a time range, and the indicator will highlight it with a shaded area.
The indicator helps you see higher timeframe structure while trading on a lower timeframes
SMC Volatility Liquidity Prothis one’s a confluence signaler. it fires “BUY CALL” / “BUY PUT” labels only when four things line up at once: trend, volatility squeeze, a liquidity sweep, and MACD momentum. quick breakdown:
what each block does
Trend filter (context)
ema50 > ema200 ⇒ trendUp
ema50 < ema200 ⇒ trendDn
Plots both EMAs for visual context.
Volatility compression (setup)
20-period Bollinger Bands (stdev 2).
bb_squeeze is true when current band width < its 20-SMA ⇒ price is compressed (potential energy building).
Liquidity sweep (trigger)
Tracks 20-bar swing high/low.
Long sweep: high > swingHigh ⇒ price just poked above the prior 20-bar high (took buy-side liquidity).
Short sweep: low < swingLow ⇒ price just poked below the prior 20-bar low (took sell-side liquidity).
MACD momentum (confirmation)
Standard MACD(12,26,9) histogram.
Bullish: hist > 0 and rising versus previous bar.
Bearish: hist < 0 and falling.
the actual entry signals
LongEntry = trendUp AND bb_squeeze AND liquiditySweepLong AND macdBullish
→ prints a green “BUY CALL” label below the bar.
ShortEntry = trendDn AND bb_squeeze AND liquiditySweepShort AND macdBearish
→ prints a red “BUY PUT” label above the bar.
alerts & dashboard
Alerts: fires when those long/short conditions hit so you can set TradingView alerts on them.
On-chart dashboard (bottom-right):
Trend (Bullish/Bearish/Neutral)
Squeeze (Yes/No)
Liquidity (Long/Short/None)
Momentum (Bullish/Bearish/Neutral)
Current Signal (BUY CALL / BUY PUT / WAIT)
(btw the comment says “2 columns × 5 rows” but the table is actually 5 columns × 2 rows—values under each label across the row.)
what it’s trying to capture (in plain english)
Trade with the higher-timeframe bias (EMA 50 over 200).
Enter as volatility compresses (bands tight) and a sweep grabs stops beyond a 20-bar extreme.
Only pull the trigger when momentum agrees (MACD hist direction & side of zero).
caveats / tips
It’s an indicator, not a strategy—no entries/exits/backtests baked in.
Signals are strict (4 filters), so you’ll get fewer but “cleaner” prints; still not magical.
The liquidity-sweep check uses the prior bar’s 20-bar high/low ( ), so on bar close it won’t repaint; intrabar alerts may feel jumpy if you alert “on every tick.”
Consider adding:
Exit logic (e.g., ATR stop + take-profit, or opposite signal).
Minimum squeeze duration (e.g., bb_squeeze true for N bars) to avoid one-bar dips in width.
Cool-down after a signal to prevent clustering.
Session/time or volume filter if you only want liquid hours.
if you want, I can convert this into a backtestable strategy() version with ATR-based stops/targets and a few toggles, so you can see stats right away.
Moon Phases Prediction🌙 Moon Phases (with Next Event Projection)
Introduction
This indicator plots Moon Phases (New Moon and Full Moon) directly on your chart.
In addition to showing historical phases, it also calculates and projects the upcoming next moon phase using precise astronomical formulas.
Features
Marks New Moons with circles above bars.
Marks Full Moons with circles below bars.
Dynamically adjusts background color based on waxing/waning phase.
Calculates and displays the next upcoming moon event as a label positioned in the future.
Works on all timeframes (except Monthly).
How It Works
Uses astronomical approximations (Julian Day → UNIX time conversion).
Detects the last occurred New Moon or Full Moon.
Projects the next moon event by adding half a synodic month (~14.77 days).
Displays the next event label at its exact future date on the chart.
Customization
Waxing Moon color (default: Blue)
Waning Moon color (default: White)
Use Cases
Astro-finance: lunar cycles and market psychology.
Trading strategies: aligning entries/exits with cyclical behavior.
Visualization: adding an extra dimension of timing to chart analysis.
Notes
- The future moon event is displayed as a circle label on the correct date.
- If you cannot see the label, increase your chart’s right margin (Chart Settings → Scales → Right Margin).
- Calculations are approximate but astronomically accurate enough for trading or visual use.
Conclusion
This indicator is a simple yet powerful tool for traders interested in the influence of lunar cycles.
By combining historical phases with a projected next event, you can always be aware of where the market stands in the moon cycle timeline.
Highlight Selected WeekdaysThis indicator allows you to highlight selected trading days of the week directly on the chart with customizable colors.
Features:
Choose which weekdays to highlight (Sunday through Saturday).
Assign a different background color to each selected day.
Option to calculate the weekday based on the daily close or the active bar’s time.
Bitcoin Lagging (N Days)This indicator overlays Bitcoin’s price on any chart with a user-defined N-day lag. You can select the BTC symbol and timeframe (daily recommended), choose which price source to use (open, high, low, close, hlc3, ohlc4), and shift the series by a chosen number of days. An option to normalize the series to 100 at the first visible value is also available, along with the ability to display the original BTC line for comparison.
It is designed for traders and researchers who want to test lagging relationships between Bitcoin and other assets, observe correlation changes, or visualize how BTC’s past prices might align with current market movements. The lagging is calculated based on daily candles, so even if applied on intraday charts, the shift remains in daily units.
이 지표는 비트코인 가격을 원하는 차트 위에 N일 지연된 상태로 표시해 줍니다. 심볼과 타임프레임(일봉 권장)을 선택할 수 있으며, 가격 소스(시가, 고가, 저가, 종가, hlc3, ohlc4)도 설정 가능합니다. 또한 시리즈를 첫 값 기준으로 100에 맞춰 정규화하거나, 원래의 비트코인 가격선을 함께 표시할 수도 있습니다.
비트코인과 다른 자산 간의 시차 효과를 분석하거나 상관관계 변화를 관찰할 때 유용하게 활용할 수 있습니다. 지연은 일봉 기준으로 계산되므로, 분·시간 차트에 적용해도 항상 일 단위로 반영됩니다.
Automatic Candle Date - BVKAutomatic Candle Date
It is related to automatic Date indicator , so you can fetch it
Shadow Corp 90min Boxes90-min cycle boxes, marks 90min session highs and lows with color coded boxes.
ShadowCorp ICT Extended Macros (Original by toodegrees)Based on “ICT Algorithmic Macro Tracker° (Open-Source) by toodegrees” (MPL-2.0), this version simply extends the original macro logic: it keeps the same left/right verticals and dynamic horizontal cap. In short, it’s just an extended macro compared to TooDegree’s
LibbyThis script is a refined chopzone index script with additional functionalities.
it produce buy and sell signals as directed by chopzone
How to use:
BUY: Look for buy signal on the chart and proceed to place buy or long orders
SELL: Look for sell on the chart and proceed to place sell or short orders.
NOTE: i recommend you set alerts and make it activate on bar close to avoid fadeouts and sideways.
expect sideways market and multiple opposite signals within a short time during news or when economic data are released.
as always, no indicator is failproof, it is recommended to always pair more than 1 indicator for more clarity and practice safe trading.
HPS VariablesThis script will provide a chart with a list of the 4 HPS variables for trading TCT models.
Crypto Market Dominance Stacked with LabelsA professional stacked area chart showing the dominance of major crypto market segments: BTC, ETH, Top 100 Altcoins, and #101+ Altcoins. Each layer is color-coded for clarity and includes dynamic labels with the current dominance percentage. Provides a clear visual representation of market share trends for traders, analysts, and crypto enthusiasts.
Features:
Stacked visualization of BTC, ETH, Top 100, and small-cap altcoins (#101+).
Color-coded areas for easy identification.
Dynamic labels showing each category’s current dominance percentage.
Horizontal reference lines for percentage levels.
Approximates top 100 and #101+ altcoins using TOTAL2 and TOTAL3 market cap tickers.
Use Case:
Track how market share shifts between BTC, ETH, large altcoins, and smaller altcoins over time. Ideal for analyzing trends, spotting dominance changes, and visualizing overall crypto market structure.
Positional Toolbox v6 (distinct colors)what the lines mean (colors)
EMA20 (green) = fast trend
EMA50 (orange) = intermediate trend
EMA200 (purple, thicker) = primary trend
when the chart is “bullish” vs “bearish”
Bullish bias (look for buys):
EMA20 > EMA50 > EMA200 and EMA200 sloping up.
Bearish bias (avoid longs / consider exits):
EMA20 < EMA50 < EMA200 or price closing under EMA50/EMA200.
the two buy signals the script gives you
Pullback Long (triangle up)
Prints when price dips to EMA20 (green) and closes back above it while trend is bullish and ADX is decent.
Entry: buy on the same close or on a break of that candle’s high next day.
Stop: below the pullback swing-low (or below EMA50 for simplicity).
Best for: adding on an existing uptrend after a shallow dip.
Breakout 55D (“BO55” label)
Prints when price closes above prior 55-day high with volume surge in a bullish trend.
Entry: on the close that triggers, or next day above the breakout candle’s high.
Stop: below the breakout candle’s low (conservative: below base low).
Best for: fresh trend legs from bases.
simple “sell / exit” rules
Trend exit (clean & mechanical): exit if daily close < EMA50 (orange).
More conservative: only exit if close < EMA200 (purple).
Momentum fade / weak breakout: if BO55 triggers but price re-closes back inside the base within 1–3 sessions on above-avg volume → exit or cut size.
Profit taking: book some at +1.5R to +2R, trail the rest (e.g., below prior swing lows or EMA20).
quick visual checklist (what to look for)
Are the EMAs stacked up (green over orange over purple)? → ok to buy setups.
Did a triangle print near EMA20? → pullback long candidate.
Did a BO55 label print with strong volume? → breakout candidate.
Any close under EMA50 after you’re in? → reduce/exit.
timeframe
Use Daily for positional signals.
If you want a tighter entry, drop to 30m/1h only to time the trigger—but keep decisions anchored to the daily trend.
alerts to set (so you don’t miss signals)
Add alert on Breakout 55D and Pullback Long (from the indicator’s alertconditions).
Optional price alerts at the breakout level or EMA20 touch.
risk guardrails (MTF friendly)
Risk ≤1% of capital per trade.
Avoid fresh entries within ~5 trading days of earnings unless you accept gap risk.
Prefer high-liquidity NSE F&O names (your CSV watchlist covers this).
TL;DR (super short):
Green > Orange > Purple = uptrend.
Triangle near green = buy the pullback; stop under swing low/EMA50.
BO55 label = buy the breakout; stop under breakout candle/base.
Exit on close below EMA50 (or below EMA200 if you’re giving more room).
350DMA bands + Z-score (V2)This script extends the classic 350-day moving average (350DMA) by building dynamic valuation bands and a Z-Score framework to evaluate how far price deviates from its long-term mean.
Features
350DMA Anchor: Uses the 350-day simple moving average as the baseline reference.
Fixed Multipliers: Key bands plotted at ×0.625, ×1.0, ×1.6, ×2.0, and ×2.5 of the 350DMA — historically significant levels for cycle analysis.
Z-Score Mapping: Price is converted into a Z-Score on a scale from +2 (deep undervaluation) to –2 (extreme overvaluation), using log-space interpolation for accuracy.
Custom Display: HUD panel and on-chart label show the current Z-Score in real time.
Clamp Option: Users can toggle between raw Z values or capped values (±2).
How to Use
Valuation Context: The 350DMA is often considered a “fair value” anchor; large deviations identify cycles of under- or over-valuation.
Z-Score Insight:
Positive Z values suggest favorable accumulation zones where price is below long-term average.
Negative Z values highlight zones of stretched valuation, often associated with distribution or profit-taking.
Strategic Application: This is not a standalone trading system — it works best in confluence with other indicators, cycle models, or macro analysis.
Originality
Unlike a simple DMA overlay, this script:
Provides multiple cycle-based bands derived from the 350DMA.
Applies a logarithmic Z-Score mapping for more precise long-term scaling.
Adds an integrated HUD and labeling system for quick interpretation.
200WMA Overlay + Z (heatmap mapping)This script enhances the classic 200-week moving average (200WMA), a long-term market reference line, by adding Z-Score mapping and optional helper bands for extended cycle analysis.
Features
200WMA Anchor: Plots the true 200-week simple moving average on any chart, a widely followed metric for long-term Bitcoin and crypto cycles.
Helper Multiples: Optional overlay of key historical ratios (×0.625, ×1.6, ×2.0, ×2.5) often referenced as cycle support/resistance zones.
Z-Score Mapping: Translates the ratio of price to 200WMA into a Z-Score scale (from +2.5 to –2.5), offering a statistical perspective on whether the market is undervalued, neutral, or overheated relative to its long-term mean.
On-Chart Label: Current Z-Score displayed directly on the last bar for quick reference.
How to Use
Long-Term Valuation: The 200WMA serves as a “fair value” baseline; large deviations highlight extended phases of market sentiment.
Heatmap Context:
Positive Z values typically mark undervaluation or favorable accumulation zones.
Negative Z values highlight overvaluation or profit-taking / distribution zones.
Strategic View: Best used to contextualize long-term market cycles, not for short-term signals.
Confluence Approach: This indicator should not be used alone — combine it with other technical or fundamental tools for stronger decision-making.
Originality
Unlike a basic 200WMA overlay, this version:
Incorporates multi-band ratios for extended cycle mapping.
Introduces a custom Z-Score scale tied directly to price/WMA ratios.
Provides both visual structure and statistical interpretation on a single overlay.
