ATR Enhanced [DCAUT]█ ATR Enhanced
📊 OVERVIEW
Standard ATR uses only RMA smoothing, while ATR Enhanced provides 20+ professional smoothing algorithms , offering precise volatility measurement solutions for different trading scenarios and market environments.
💡 CORE VALUE
- 20+ algorithm choices : SMA, EMA, RMA, WMA, HMA, T3, KAMA, FRAMA, Kalman Filter, etc.
📋 PARAMETER SETUP
ATR Length : Calculation period (default: 14)
Moving Average Type : Choose the most suitable smoothing method from 20+ algorithms
🎨 COLOR CODING
Green : Rising volatility
Red : Falling volatility
Indicateurs et stratégies
Trading Department MomentumA clean, color-coded trend/momentum tool inspired by Decentrader’s Predator.
It fuses trend , momentum , and trend strength into one readable signal and paints candles + an optional histogram with smooth transitions (Strong Bull → Weak Bull → Neutral → Weak Bear → Strong Bear).
How it works
* Trend filter: three EMAs (fast/slow/long) define bullish/bearish context.
* Momentum: MACD histogram and RSI drift capture direction and acceleration.
* Strength / Chop: Wilder’s ADX detects low-quality, choppy conditions.
* These components are normalized into a single score , smoothed, and mapped to colors; optional white dots mark score crossovers when ADX confirms.
Best use
* Designed for 4H / 1D+ to identify market regime at a glance.
* Use as a filter : favor longs in green phases, avoid risk or manage tightly in orange/weak colors, and stand aside in chop. Combine with price action, S/R, or your entry model.
Key settings
* EMA lengths, RSI smoothing, MACD (12/26/9 default).
* ADX length & Chop threshold .
* Score smoothing, candle coloring, background heatmap, histogram, markers, and optional higher-timeframe source.
Notes
* This is an independent implementation; it does not replicate the proprietary Predator formula.
* No trade signals are generated; colors are informational. Always add your own risk management.
Valuation Bands (Dynamic + Table)Valuation Bands (Dynamic + Table)
This indicator helps investors assess whether a stock is trading at cheap, fair, or expensive levels relative to its historical valuation multiples. It dynamically calculates valuation ratios such as P/E, P/B, P/S, P/Operating Income, P/Cash Flow, or Dividend Yield over a customizable lookback period (e.g., 10 years).
Using these ratios, the script plots the long-term average alongside ±1σ and ±2σ standard deviation bands, highlighting valuation zones. The included data table displays both the multiple values and their corresponding price levels, making it easy to interpret fair value ranges.
Alerts are built in to notify when the current ratio crosses into undervalued (–2σ) or overvalued (+2σ) zones, helping investors spot potential opportunities or risks.
In short, this tool bridges fundamentals with technical visualization, giving a quick snapshot of how today’s valuation compares to historical norms.
Session Volume Profile HVN210
Session Volume Profile HVN - Comprehensive Indicator Description
Overview
The Session Volume Profile HVN is an advanced volume analysis indicator that provides traders with a visual representation of volume distribution across price levels within defined trading sessions. This powerful tool combines traditional volume profile analysis with High Volume Node (HVN) detection and Volume Point of Control (VPOC) tracking to help identify key support and resistance areas based on trading activity.
Key Features
1. Dynamic Volume Profile Visualization
Creates a comprehensive volume profile for each trading session (daily, weekly, or custom timeframes)
Displays volume distribution as a horizontal histogram, showing where the most trading activity occurred
Automatically scales to fit the price range of each session
Customizable number of price levels (rows) for granular or broad analysis
Profile extension capability to project volume areas into subsequent sessions
2. Volume Point of Control (VPOC)
Automatically identifies and marks the price level with the highest volume in each session
Displays VPOC as a prominent horizontal line that can extend into future sessions
Tracks multiple historical VPOCs with customizable extension limits
Optional date labels for easy identification of when each VPOC was formed
Particularly useful for identifying potential support/resistance levels based on peak trading activity
3. High Volume Node (HVN) Detection
Sophisticated algorithm that identifies significant volume clusters within the profile
Validates HVNs based on customizable strength criteria
Two display options:
Levels: Shows HVNs as horizontal lines (solid for VPOC, dotted for other nodes)
Areas: Displays HVNs as shaded boxes covering the full price range of the node
Color-coded based on price position relative to previous close:
Bullish color for HVNs below the previous close (potential support)
Bearish color for HVNs above the previous close (potential resistance)
4. Multi-Timeframe Analysis
Profile Timeframe: Defines the session boundaries (e.g., daily, weekly, monthly)
Resolution Timeframe: Uses lower timeframe data for more accurate volume distribution
Automatically adjusts to ensure compatibility with chart timeframe
Enables precise volume analysis even on higher timeframe charts
Practical Applications
Support and Resistance Identification
VPOCs and HVNs often act as significant support/resistance levels
Multiple confluent HVNs can indicate strong price zones
Historical VPOC levels provide context for potential price reactions
Trading Strategy Development
Entry/exit points near HVN boundaries
Stop loss placement beyond significant volume nodes
Trend continuation or reversal signals when price breaks through HVN areas
Market Structure Analysis
Identify accumulation/distribution zones
Recognize price acceptance or rejection at specific levels
Understand market participant behavior through volume concentration
Customization Options
Visual Settings
Adjustable colors for profile, VPOC lines, and HVN areas
Line width controls for better visibility
Label size options from tiny to huge
Profile transparency for chart clarity
Technical Parameters
Number of price levels (rows) for profile resolution
HVN detection strength for sensitivity adjustment
VPOC extension count for historical reference
Profile extension percentage for future projection
Display Preferences
Toggle VPOC visibility
Enable/disable HVN display
Choose between line or area representation for HVNs
Control date label display based on timeframe
Best Practices
Timeframe Selection: Choose profile timeframes that align with your trading style (day traders might use hourly profiles, swing traders daily or weekly)
HVN Strength Calibration: Adjust the HVN strength parameter based on market volatility and desired sensitivity
Multiple Timeframe Confirmation: Use different profile timeframes to identify confluence zones
Combination with Other Indicators: Enhance analysis by combining with trend indicators, momentum oscillators, or price action patterns
Performance Considerations
The indicator is optimized for smooth performance while maintaining accuracy through:
Efficient data processing algorithms
Smart memory management for historical data
Automatic cleanup of old visual elements
Scalable architecture supporting up to 500 visual elements
Ideal For
Day Traders: Identifying intraday support/resistance levels
Swing Traders: Finding multi-day accumulation zones
Position Traders: Analyzing longer-term volume structures
Market Analysts: Understanding market participant behavior
Algorithmic Traders: Incorporating volume-based levels into automated strategies
X Trend dashboard (Lite)X Trend Dashboard
The X Trend Dashboard provides an instant snapshot of market sentiment by analyzing the aggregate "pressure" from 11 classic technical indicators. This version features a flexible EMA Fan (Fast, Medium, and Slow EMAs) instead of fixed timeframes, allowing for greater adaptability to any chart.
This tool is ideal for quickly assessing current market strength and identifying moments when bulls or bears are in control. The panel also displays the asset's correlation with BTC and ETH for additional market context.
Settings
Dashboard Settings: Change the panel's appearance and position.
Correlation Settings: Configure the BTC and ETH correlation.
Indicator Components: Enable or disable any of the indicators, including the three customizable EMAs, to tailor the pressure calculation to your trading style.
Valuation Bands (Dynamic + Table)Valuation Bands (Dynamic + Table)
This indicator helps investors assess whether a stock is trading at cheap, fair, or expensive levels relative to its historical valuation multiples. It dynamically calculates valuation ratios such as P/E, P/B, P/S, P/Operating Income, P/Cash Flow, or Dividend Yield over a customizable lookback period (e.g., 10 years).
Using these ratios, the script plots the long-term average alongside ±1σ and ±2σ standard deviation bands, highlighting valuation zones. The included data table displays both the multiple values and their corresponding price levels, making it easy to interpret fair value ranges.
Alerts are built in to notify when the current ratio crosses into undervalued (–2σ) or overvalued (+2σ) zones, helping investors spot potential opportunities or risks.
In short, this tool bridges fundamentals with technical visualization, giving a quick snapshot of how today’s valuation compares to historical norms.
TOP-RSI Double Confirm + Heiken Ashi + Buy/Sell Labels v01📊 RSI Double Confirm + Heiken Ashi + Labels
🔎 Concept
This indicator combines a Zero-based RSI filter with strict candle close confirmation, overlays Heiken Ashi candles for clearer trend visualization, and adds Buy/Sell labels directly on the chart for easier interpretation.
⚙️ Components
1. RSI Double Confirm
RSI is calculated from OHLC4 (open+high+low+close)/4.
The RSI value is shifted by -50 to center it around zero (above 0 = bullish, below 0 = bearish).
Uses user-defined thresholds: Overbought (OB) and Oversold (OS).
📌 Entry conditions:
Buy Signal → RSI crosses upward through OS and the last closed candle is higher than the previous candle.
Sell Signal → RSI crosses downward through OB and the last closed candle is lower than the previous candle.
2. Heiken Ashi Candles
Custom Heiken Ashi values are calculated: haOpen, haClose, haHigh, haLow.
Candles are colored green (if haClose > haOpen) or red (if haClose < haOpen).
Helps smooth price action and highlight trend direction.
3. Alerts
alertcondition is set for both Buy and Sell signals.
Users can create TradingView alerts that trigger whenever a new signal appears.
4. Signals & Labels
A green up arrow is plotted under the candle when a Buy signal is triggered.
A red down arrow is plotted above the candle when a Sell signal is triggered.
Additionally, labels ("Buy" or "Sell") are added at the respective candle to make signals more visible.
📝 How to Use
Add the indicator to your chart (it overlays directly on price).
Adjust inputs:
OB (Overbought) → e.g. 20
OS (Oversold) → e.g. -20
RSI Length → e.g. 7
Watch for signals:
Buy Signal → Green arrow + "Buy" label → potential bullish entry.
Sell Signal → Red arrow + "Sell" label → potential bearish entry.
Set up alerts in TradingView to be notified when new signals appear.
✅ Benefits
Combines RSI confirmation + Heiken Ashi trend filter + Clear chart labels.
Reduces false signals by requiring both RSI cross and strict close confirmation.
Easy to interpret visually with arrows and text labels.
⚠️ Notes
This indicator is meant as a signal confirmation tool, not a standalone strategy.
Best used alongside support/resistance analysis, price action, or volume.
Does not provide automatic stop loss / take profit levels → risk management must be applied by the trader.
Dizzy HOLO🚀 Dizzy HOLO is an all-in-one professional trading suite designed for serious traders.
It combines Pivot Points, Opening Range Breakout (ORB), HOLO (High of Low / Low of High), Weekly Levels, SMA Thresholds, and Real-Time Alerts into a single lightweight indicator.
🔑 Key Features:
✅ Pivot Points (Fibonacci & Camarilla) – Automatic support & resistance with labels.
✅ Opening Range Breakout (ORB) – Custom session ORB with historical data and breakout alerts.
✅ HOLO Strategy – Daily High/Low, Highest H1 Open, Lowest H1 Close with dynamic buy/sell zones.
✅ Weekly Levels – Previous Week High/Low/Open/Close with extended dotted projections.
✅ SMA Threshold Zones – Dynamic SMA with gray zone filter and trend-based candle coloring.
✅ Multi-Timeframe Analysis – Auto-switching pivots & real-time confirmation.
✅ Smart Alerts – Pivot breakouts, ORB levels, HOLO crosses, and Weekly breaks.
🎯 Why Use Dizzy HOLO?
This indicator is built for breakout, reversal, and trend traders. It provides clear market structure, liquidity zones, and actionable alerts so you never miss important setups.
🛠️ Best Suited For:
Intraday scalpers
Swing traders
Breakout traders
HOLO strategy followers
Multi-timeframe traders
Nick2k Trend Tracker MT botNick2k Trend Tracker MT bot
Type: Indicator (signals + PineConnector alerts for EAs)
Markets: Designed for XAUUSD (gold), adaptable to other symbols
Timeframes: Optimized for M5/M15
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What it does
Nick2k Trend Tracker MT bot identifies trend flips using a percentile-normalized SMA slope with hysteresis, then applies a multi-layer filter suite to avoid false signals in low-quality conditions.
It can optionally auto-manage trades via PineConnector:
Send open orders with SL/TP (ATR- or pip-based)
Breakeven activation
Dual trailing stops (pip-based or ATR-based)
Staged partial closes (up to 3 levels)
The indicator also:
Highlights chop zones in the background
Provides diagnostic labels showing which filters passed/failed
Lets you disable all alerts with one checkbox (visual testing mode)
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Core logic (simplified)
Trend Engine: SMA slope normalized by a rolling percentile; flips with hysteresis at +0.1/–0.1.
Filters: optional checks for slope strength, ADX, narrow range ratio, ATR squeeze, higher-timeframe slope.
Sessions: entry/management can be gated to London, NY, Tokyo, Sydney sessions and weekdays.
Chop highlight: background shading when ranges/low-volatility are detected for consecutive bars.
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Visuals
Colored SMA line (gradient by slope)
BUY/SELL labels at valid flip bars
Chop background (yellow overlay)
Filter score/diagnostic label (optional)
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Alerts & PineConnector integration
Open orders: sent at valid BUY/SELL flips with embedded SL/TP + BE/trailing if enabled
Partial closes: 3 configurable milestones (ATR or pip based, % or fixed lots)
Master toggle: switch all alerts ON/OFF instantly
Alerts are formatted in PineConnector EA syntax for compatibility with MetaTrader auto-trading.
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Inputs (organized by group)
SMA & Theme (length, colors)
Auto Trading (license, symbol, lots, master toggle)
SL/TP Target Type (prices vs pips)
ATR SL/TP (length, multipliers, rounding)
Breakeven (trigger/offset)
Pip Trailing (trigger/dist/step)
ATR Trailing (TF, period, multiplier, trigger)
Partial Closes (mode, lots or %)
Time Filters (sessions, weekdays)
Filters (Slope, ADX, NRR, ATR squeeze, HTF confirm)
Chop Zone Highlight (on/off, hold bars, color)
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Why this script is unique (and closed-source)
This is not a simple moving-average crossover. It combines several custom-built methods that are rarely seen in public scripts:
Normalized SMA slope with hysteresis: avoids whipsaws, adapts to volatility regimes.
Multi-filter confirmation: ADX, NRR, ATR squeeze, HTF slope — stacked to improve quality.
Chop detection with persistence: custom counter/hold logic to highlight ranging markets.
Integrated trade management: PineConnector-ready messages with SL/TP, breakeven, dual trailing stops, staged partial closes.
EA-compatible syntax: formatted exactly for PineConnector EAs, including safety toggles.
This represents a full trading framework designed for semi-automated gold scalping, not just a “signal indicator.”
The source is protected to prevent clones and preserve development effort invested in unique logic and PineConnector integration.
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Recommended starting settings (XAUUSD M5/M15)
Pip size: 0.10
Slope threshold: 0.20 (M5), 0.16–0.20 (M15)
ADX min: 18–22
NRR floor: 2.0–2.4
ATR ratio: 0.65–0.75
ATR SL/TP: SL = 1.5×ATR, TP = 2.5×ATR
Sessions: London & NY
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Limitations & disclaimer
Not financial advice. Test on demo before live trading.
Performance depends on broker symbols, spread, and volatility regime.
Auto-trading requires PineConnector EA set up correctly.
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Changelog
v1.0 – Initial release (trend engine, filters, sessions, chop highlight, PineConnector alerts, BE/trailing, partial closes, diagnostics)
Daily VWAPs & 420 EMAAuto-plots AVWAPS at ETH & RTH of US indice futures open. Additional option for EMA of user's choice.
Volume-Weighted RSI & Multi-Normalized MACD Overlay**Description**:
The "Volume-Weighted RSI & Multi-Normalized MACD Overlay" is a sophisticated indicator that plots a volume-weighted Relative Strength Index (VW-RSI) and a customizable Moving Average Convergence Divergence (MACD) directly on the price chart, enhancing momentum and trend analysis for traders. Designed for stocks, forex, crypto, and more, it supports multi-timeframe (MTF) analysis and offers flexible normalization and scaling options for precise visualization.
**Key Features**:
- **Volume-Weighted RSI**: A volume-sensitive RSI normalized to a configurable range (default: -50/+50), with optional smoothing (SMA, EMA, WMA, VWMA, SMMA, or Bollinger Bands). Overbought (+20) and oversold (-20) lines are plotted relative to a user-defined price source (default: ohlc4).
- **Multi-Normalized MACD**: Supports five bounded normalization methods: Min-Max, Volatility Min-Max, Hyperbolic Tangent, Arctangent, and Min-Max with Smoothing, scaled to the same range as RSI for unified analysis.
- **Price Chart Overlay**: Plots RSI, RSI MA, MACD, MACD Signal, zero-line, overbought (+20), and oversold (-20) lines, anchored to a customizable price source (e.g., ohlc4, hl2).
- **Flexible Scaling**: Choose between high/low range (default) or ATR-based scaling, with separate lookbacks for RSI and MACD (default: 128). Adjust offset and scale factor multipliers for fine-tuned visuals.
- **Customizable Display**: Toggles for RSI (with MA), MACD (with Signal), zero-line, overbought/oversold lines, and RSI background coloring (>20/< -20). Dynamic MACD colors (cyan/magenta) and transparency options enhance clarity.
**How to Use**:
1. Add to any chart (e.g., BTCUSD, SPY, 1H, 1D).
2. Configure settings:
- **General**: Set bounds (-50/+50), timeframe, scaling (high/low or ATR), zero-line source (e.g., ohlc4), and multipliers.
- **RSI**: Adjust price source, length (9), and smoothing options.
- **MACD**: Select price source, lengths (9/21/9), and normalization (e.g., Volatility Min-Max).
- **Display Options**: Toggle lines and background; adjust transparency.
3. Interpret signals: RSI > +20 (overbought), < -20 (oversold); MACD/Signal crosses for momentum; zero-line as reference.
4. Use with the companion "Volume-Weighted RSI & Multi-Normalized MACD" script for pane-based analysis if desired.
**Why Use It?**
Ideal for traders seeking a visually intuitive overlay of RSI and MACD on price action, with customizable scaling and MTF support. Perfect for trend-following, mean-reversion, and cross-market strategies.
**Notes**:
- Ensure a bounded normalization (e.g., Volatility Min-Max) is selected for MACD plotting.
- Adjust scaling multipliers for optimal visibility on volatile assets.
- Feedback welcome to enhance future versions!
**Author**: nepolix
SSMT & PSP- Made this one public so that people can search for it and get it without link
- Same code used in the private one
- Credits to VX, Fruits and Solidarity for allowing me to make this <3
CAD DataThis indicator provides all of the data required to use the Context Analysis Dashboard (CAD) for live trading.
G. Santostasi Bitcoin Power Law Monte Carlo IndicatorOverview:
The "G. Santostasi Bitcoin Power Law Monte Carlo" is a sophisticated TradingView indicator inspired by the Bitcoin Power Law Theory developed by physicist Giovanni Santostasi.
This theory posits that Bitcoin's price follows a power-law relationship with time, measured in days since the Bitcoin Genesis Block (January 3, 2009). The indicator leverages this framework to analyze Bitcoin's price dynamics through a normalized metric called "Daily Slopes," which captures local deviations from the long-term power-law trend. By fitting these Daily Slopes to a t-location scale distribution on a moving window, the indicator computes key parameters (mu, sigma, and nu) and plots them along with deviation bands. This allows traders to identify local minima and maxima in price action relative to the global power-law slope of approximately 5.9.Additionally, the indicator incorporates Monte Carlo simulations to project potential future price paths up to 100 days ahead, generating up to 500 randomized trajectories based on the statistical properties of the Daily Slopes. This tool is particularly useful for understanding Bitcoin's inherent diminishing returns, assessing market stability, and forecasting short-term scenarios while emphasizing the asset's long-term predictability as a self-organizing network akin to natural systems.
The indicator does not predict exponential growth but instead highlights Bitcoin's scale-invariant behavior, where returns diminish predictably over time—a feature, not a bug, of its design. It has been observed that the core metric (mu) remains stable across Bitcoin's entire history, reinforcing the power law as Bitcoin's "DNA."
Core Concept: Daily Slopes:
At the heart of the indicator is the "Daily Slopes" metric, which normalizes daily logarithmic returns to account for the diminishing nature predicted by the power-law model. This normalization reveals a stable "local slope" (n) that oscillates around a fixed global value, providing insight into Bitcoin's consistent behavior over time.
Definition and Calculation:
Daily logarithmic returns are calculated as log(P2/P1)\log(P_2 / P_1)\log(P_2 / P_1), where P2P_2P_2 is the current day's closing price and P1P_1P_1 is the previous day's closing price.
According to the power-law model, if Bitcoin's price ( P(t) ) follows P(t)=c⋅tnP(t) = c \cdot t^nP(t) = c \cdot t^n
(where ( t ) is days since the Genesis Block, ( c ) is a constant, and n≈5.9n \approx 5.9n \approx 5.9
is the global slope from log-log regression), then the expected daily log return is n⋅log((t+1)/t)n \cdot \log((t+1)/t)n \cdot \log((t+1)/t)
.
The Daily Slope is thus the normalized value:
Daily Slope=log(P2/P1)log((t+1)/t)\text{Daily Slope} = \frac{\log(P_2 / P_1)}{\log((t+1)/t)}\text{Daily Slope} = \frac{\log(P_2 / P_1)}{\log((t+1)/t)}
This normalization "stabilizes" the returns by dividing out the theoretical decay factor log((t+1)/t)\log((t+1)/t)\log((t+1)/t)
, which diminishes as ( t ) increases (reflecting slower growth in mature systems).
Result: The Daily Slope represents a "local n" that should remain stable, oscillating around the global slope of ~5.9 without long-term drift. Empirical data shows this stability holds over Bitcoin's 16-year history, with oscillations but no systematic change—indicating Bitcoin has statistically "done the same thing" since inception.
Interpretation:
Positive deviations (Daily Slope > 5.9) signal bullish momentum or potential local maxima.
Negative deviations (Daily Slope < 5.9) indicate bearish pressure or local minima.
The metric adjusts for absolute volatility, which appears to decrease over time due to diminishing returns. However, when normalized via Daily Slopes, relative volatility has been constant for the last 8 years, underscoring Bitcoin's resilience to macroeconomic factors.
Distribution Fitting and Parameter Estimation:
To quantify the behavior of Daily Slopes, the indicator fits them to a t-location scale distribution (Student's t-distribution with location and scale parameters) over a user-configurable moving window (e.g., 365 days for annual analysis).
This distribution is chosen as the best empirical fit for the heavy-tailed, outlier-prone nature of Bitcoin's normalized returns, outperforming alternatives like Gaussian or Laplacian.t-Location Scale Distribution:
The distribution is parameterized by:μ (mu): Location parameter, representing the mean or "average slope." This is the most critical metric, stable around 5.9 across Bitcoin's history. It tracks the central tendency of Daily Slopes and signals overall market regime (e.g., rising mu indicates strengthening momentum).
σ (sigma): Scale parameter, akin to standard deviation, measuring the spread or volatility of slopes. It has shown slight increases in certain contexts (e.g., hash rate applications) but remains stable for price data.
ν (nu): Degrees of freedom, controlling the "tailedness" (lower ν means heavier tails, capturing extreme events like bubbles or crashes).
Fitting is performed on a rolling basis, updating μ, σ, and ν dynamically.
Plotting:
Local μ: Plotted as a central line, showing the moving average slope.
Deviation Bands: μ + σ (upper band) and μ - σ (lower band), highlighting 1-standard-deviation ranges.
These bands help identify overbought/oversold conditions by measuring deviations from the global mean of 5.9.
For example:
Crossing above μ + σ may signal a local maximum (potential sell opportunity).
Dipping below μ - σ could indicate a local minimum (buy signal).
Additional visualizations include raw Daily Slopes (oscillating series) and smoothed averages for clarity.
Stability and Insights:μ has remained remarkably stable over 16 years, oscillating without drift, validating the power law's predictive power.
Parameters may show minor trends in rolling windows (e.g., slight σ increases), but no monotonic drift is observed in price data. This stability extends to related metrics like addresses and hash rate, where Daily Slopes can be derived similarly (e.g., via log(A2/A1) / log((t+1)/t) for addresses, yielding equivalent slopes around 5.9).
Monte Carlo Simulations for Future Projections
The indicator enables short-term forecasting (up to 100 days) by reversing the normalization process and simulating paths using the fitted distribution.
Projection Mechanism:
Recover expected daily returns: Multiply the sampled Daily Slope (drawn from the t-location scale distribution with current μ, σ, ν) by log((t+1)/t)\log((t+1)/t)\log((t+1)/t)
.
Generate randomized samples to create up to 500 Monte Carlo paths, incorporating the distribution's properties to model uncertainty (e.g., heavy tails for rare events).
Simulations can use the full historical dataset for broader spreads or recent windows (e.g., last 8 years) for tighter, regime-specific forecasts.
Output: Fan chart of projected prices, showing median path (based on μ), confidence intervals (e.g., ±σ bands), and extreme scenarios.
Applications and Limitations:
Useful for risk assessment, e.g., probability of reaching $200K in 2025 is low (1-2% per recent simulations).
Assumes parameters evolve minimally; if drift is detected, simulations can adjust dynamically.
Not for long-term predictions (beyond 100 days), as the power law excels in multi-year trends rather than short-term noise.
Empirical validation: Simulations align with historical backtests, where deviations (bubbles/crashes) revert to the power-law trend.
Usage Notes Inputs:
Customize moving window size, number of Monte Carlo paths (default: 500), projection horizon (up to 100 days), and global slope (default: 5.9).
Visuals: Overlay on BTCUSD log-log chart for context; bands and simulations appear in separate panels.
Caveats: This is not financial advice. The power law describes emergent behavior from network effects, not guarantees. Cycles and bubbles are secondary deviations, not core to the model.
Extensions: The concept applies beyond price (e.g., to addresses or hash rate), revealing interconnected power laws in Bitcoin's ecosystem.
This indicator transforms Santostasi's theoretical insights into a practical tool, empowering users to navigate Bitcoin's dynamics with statistical rigor.
1H Color-Change Open Levels (non-repainting)objective way of getting levels. better than anything else out there
ShadowCorp Time Cycle'sThis indicator marks key intraday windows — 7:00–8:30, 8:30–10:00 (NYO), 10:00–11:30, 11:30–13:00, 13:00–14:30, 14:30–16:00, and 18:00–19:00 — and draws a true **price-range box** for each window.
Each box builds **in real time** from that window’s running **high/low**, then **persists on the chart** after the window ends for historical study. It’s **timezone-aware** (configurable) and gives you **per-window color** controls. Use it to visualize session volatility, ranges, and liquidity sweeps across the day on any intraday chart.
Multi-Timeframe mybullandbearThis Multi-Timeframe RSI + Ultimate MA System combines RSI and customizable moving averages (SMA, EMA, WMA, HullMA, VWMA, RMA, TEMA) to generate powerful buy/sell signals across 5m, 15m, 1h, and 4h timeframes. Visualize signals with clear chart labels (BUY/SELL) and a multi-timeframe table showing RSI status, MA trends, and signal strength. Ideal for traders seeking trend confirmation and reversal signals.
Enable/disable RSI, MA cross, or combined signals, and adjust MA types/lengths. Use aligned signals across timeframes for stronger entries. Best with backtesting for your asset.
1H Open Level System-Lomeli indicatorsThis level system is a objective way of getting precise levels! Used by some of the trading goats
MA Pack + Cross Signals (Short vs Long)Overview
A flexible moving average pack that lets you switch between short-term trend detection and long-term trend confirmation .
Short-term mode: plots 5, 10, 20, and 50 MAs with early crossovers (10/50, 20/50).
Long-term mode: plots 50, 100, 200 MAs with Golden Cross and Death Cross signals.
Choice of SMA or EMA .
Alerts included for all crossovers.
Why Use It
Catch early trend shifts in short-term mode.
Confirm institutional trend levels in long-term mode.
Visual signals (triangles + labels) make spotting setups easy.
Alert-ready for automated trade monitoring.
Usage
Add to chart.
In settings, choose Short-term or Long-term .
Watch for markers:
Green triangles = bullish cross
Red triangles = bearish cross
Green label = Golden Cross
Red label = Death Cross
Optional: enable alerts for notifications.
Elite Entries Range Setter Premium
Elite Entries Range Setter
**What it is**
Elite Entries Range Setter builds a simple but sturdy market map: a predictive range on a higher timeframe, mid-levels between those lines, and **filtered breakout signals** plus **auto-drawn support/resistance zones** (with optional retest tags). It’s designed for day traders who want structure without noise—and swing traders who like to anchor to a higher-timeframe heartbeat.
What it gives you
* **Predictive range grid** (R2 / R1 / AVG / S1 / S2) computed from your chosen TF with adaptive ATR logic.
* **MTF signal engine**: breakouts are detected on your selected *Signal TF* while ranges come from the range TF—clean separation of “map” vs “trigger.”
* **Mid-lines** between range levels for bounce/continuation context (visual only here).
* **Auto Zones**: when price crosses a key line (range or mid), a shaded support/resistance box is created. Zones extend until broken; they dim when invalidated.
* **Optional Retests**: label when price re-tests a fresh zone and rejects/holds (cooldowns included).
* **Stacked Filters**: RSI, Volume EMA, and MA direction—use one, some, or all to tighten signals.
* **Session awareness**: choose to limit signals/zone creation to New York hours.
* **Alerts**: one consolidated breakout alert + dedicated zone-retest alerts.
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How to use (the 60-second setup)
1. **Pick your Range TF** (default 15m). This sets the “grid” (R2/R1/AVG/S1/S2).
2. **Choose your Signal TF** (can be same as chart or different). This is where breakouts are confirmed.
3. **Turn on filters** to taste:
* **RSI** for momentum extremes (OB/OS configurable)
* **Volume EMA** for participation (Above/Below)
* **MA direction** for trend alignment (EMA/SMA/HMA, configurable length)
4. **Zones**: leave enabled to auto-box supports/resistances when lines are crossed. Adjust size by **Ticks** or **ATR ×** for instrument sensitivity.
5. **Alerts**: add “**Grid Breakout (Filtered)**” for trade triggers, and “Zone Bullish/Bearish Retest” if you trade pullbacks.
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Inputs that matter
* **Range Setter**
* *ATR Length / Factor*: controls how wide the predictive range breathes.
* *Timeframe*: TF used to compute the grid (e.g., 15m).
* *Candlestick Type*: Traditional or Heikin-Ashi source.
* **Filter Options**
* *RSI*: Period + OB/OS thresholds.
* *Volume EMA*: Period + Above/Below condition.
* *MA Filter*: EMA/SMA/HMA + length; must be above (long bias) or below (short bias).
* **Trading Grid**
* *Signal TF*: where breakouts are detected.
* *Use MTF Signals*: toggle to confirm on a different TF than your chart.
* *Session Filter (NY)*: gate signals to the cash session.
* **Zones**
* *Only Create During NY Session*: keep structures “day-true.”
* *Size Mode*: **Ticks** (precise) or **ATR ×** (adaptive).
* *Retests*: on/off, min bars between retests, label size, colors.
* *Avoid Dupes at Same Level*: keeps the chart tidy.
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Signals & Alerts
* **Breakout UP / DN**: confirmed cross of a mid or range line **and** all active filters pass.
* *Create alert:* **Grid Breakout (Filtered)**
* **Zone Retests**: optional labels/alerts when price wicks into a fresh zone and closes back out in the expected direction.
* *Create alerts:* **Zone Bullish Retest**, **Zone Bearish Retest**
*Pro tip:* Because the range grid comes from a (possibly) higher TF and signals can be confirmed on a different TF, you avoid most LTF chop while still reacting quickly.
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Good habits (a trader’s creed)
* **Trust, but verify.** Filters help, not save. Read the tape: wicks, spreads, and time-of-day matter.
* **Let sessions speak.** NY hours tend to carry the volume; gating to session can reduce false pops.
* **Adjust zone size to the instrument.** Use ATR × on volatile tickers/futures; use Ticks for clean FX/Index contracts.
* **Mind the load.** If you enable many zones on very low TFs, consider trimming history or increasing tick size for performance.
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Repainting & behavior notes
* Range levels are computed with `request.security(..., lookahead=off)` and only update as the higher-timeframe bar evolves/finishes.
* Breakout checks also use `lookahead=off`. Signals confirm on the **close** of the chosen *Signal TF*.
* Zone creation happens on **confirmed bars** to reduce flicker.
* No backtest or strategy orders—this is an **indicator** for discretionary or rule-based trading with external execution.
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Who it’s for
Day traders who want **clear structure + filtered triggers**. Swing traders who anchor to a higher-TF grid but demand timely confirmation. Anyone tired of random “buy/sell” confetti and ready for a **map, a method, and a mute button** for the noise.
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Final word
Markets are poetry and math—this tool sketches the meter so you can hear the rhyme. Keep risk first, keep faith in your process, and let disciplined edges do the talking. ✨
*Educational use only. Not financial advice. Trade responsibly.*
Daily SMA Gate + IHS(15m RS) - Early SignalDescription
This script combines Daily SMA gating with a 15-minute Inverse Head & Shoulders (IHS) Right Shoulder (RS) detector to create a clean 0/1 signal for pullback opportunities.
How It Works
Daily SMA Gate (orange line)
Checks if price is trading above the 50-day SMA and within a set % of the 20-day SMA.
This creates a higher-timeframe bullish filter so signals only appear when price structure aligns with trend context.
15-Minute RS Detector (green line)
Scans intraday price action for an IHS-style Right Shoulder pivot (L1–L2–L3 pattern).
Fires the RS signal as soon as the pivot is confirmed, instead of waiting for extra bar delays.
Combined Signal (blue line)
Only turns 1 (ON) when both conditions are met:
✅ Daily SMA gate passes
✅ RS pattern detected on the 15-minute timeframe
This produces early, high-quality signals ideal for pullback screening.
Usefulness
Designed as a screener for pullback entries in trending markets.
Works well for traders who combine higher-timeframe trend filters with intraday pattern triggers.
Helps avoid chasing extended moves by highlighting RS pivots near key daily averages.
Settings
Daily SMA Gate
SMA(50) length and SMA(20) length can be adjusted.
Within % of SMA(20) lets you widen/narrow the proximity filter.
Option to toggle between using the live daily bar or confirmed daily closes only.
RS Detector
Pivot L / Pivot R control swing sensitivity.
De-dup window avoids duplicate signals (optional, not plotted here).
ATR-based vs %-based tolerance (Use ATR tol for L3~L1).
Min bars between pivots for pattern quality.
Plots
Blue = final combined signal (main output)
Orange = Daily SMA gate only
Green = RS(15m) only
⚡ Best Practice:
Use the blue combined signal as your main screening tool, and toggle the green/orange lines if you want to debug why a signal did/didn’t fire.
X VIBVolume Imbalance Zones
X VIB highlights price-levels where buying or selling pressure overwhelmed the opposing side within a single bar transition, leaving a void that the market often revisits. The script paints those voids as boxes so you can quickly see where liquidity may rest, where price may pause or react, and which imbalances persist across sessions.
What it plots
For each completed calculation bar (your chart’s timeframe or a higher timeframe you choose), the indicator draws a box that spans the prior bar’s close to the current bar’s open—only when that bar-to-bar transition exhibits a valid volume imbalance (VIB) by the selected rules. Boxes are time-anchored from the previous bar’s time to the current bar’s time close, and they are capped to a configurable count so the chart remains readable.
Two ways to define “Volume Imbalance”
X VIB calculates imbalances in two complementary ways. Both techniques isolate bar-to-bar displacement that reflects one-sided pressure, but they differ in strictness and how much confirmation they require.
Continuity VIB (Bar-to-Bar Displacement)
A strict definition that requires aligned progress and overlap between consecutive bars. In practical terms, a bullish continuity VIB demands that the new bar advances beyond the prior bar’s close, opens above it, and maintains upward progress without erasing the displacement; the bearish case mirrors this to the downside.
Use when: you want the cleanest, most structurally reliable voids that reflect decisive initiative flow.
Effect on boxes: typically fewer, higher-quality zones that mark locations of strong one-sided intent.
Gap-Qualified VIB (Displacement with Gap Confirmation)
A confirmatory definition that treats the bar-to-bar displacement as an imbalance only if the transition also observes a protective “gap-like” relationship with surrounding prices. This extra condition filters out many borderline transitions and emphasizes voids that were less likely to be traded through on their formation.
Use when: you want additional confirmation that the void had genuine follow-through pressure at birth.
Effect on boxes: often slightly fewer but “stickier” zones that can attract price on retests.
Both modes are drawn identically on the chart (as boxes spanning the displacement). Their difference is purely in the qualification of what counts as a VIB. You can display either set independently or together to compare how each mode surfaces structure.
Multi-Timeframe (MTF) logic
You can compute imbalances on a higher timeframe (e.g., 15-minute) while viewing a lower timeframe chart. When MTF is active, X VIB:
Samples open, high, low, close, time, and time_close from the selected HTF in a single, synchronized request (no gaps, no lookahead).
Only evaluates and draws boxes once per HTF bar close, ensuring clean, stable zones that don’t repaint intra-bar.
How traders use these zones
Reversion into voids: Price often returns to “fill” part of a void before deciding on continuation or reversal.
Context for entries/exits: VIB boxes provide precise, mechanically derived levels for limit entries, scale-outs, and invalidation points.
Confluence: Combine with session opens, HTF levels, or volatility bands to grade setups. Continuity VIBs can mark impulse anchors; Gap-Qualified VIBs often mark stickier pockets.
Inputs & controls
Calculate on higher timeframe? Toggle MTF computation; choose your Calc timeframe (e.g., 15).
Show VIBs: Master toggle for drawing imbalance boxes.
Color & Opacity: Pick the box fill and border intensity that suits your theme.
# Instances: Cap how many historical boxes remain on the chart to avoid clutter.
Notes & best practices
Signal density: Continuity VIBs tend to be more frequent on fast charts; Gap-Qualified VIBs are more selective. Try both and keep what aligns with your trade plan.
MTF discipline: When using a higher calc timeframe, analyze reactions primarily at that timeframe’s pace to avoid over-fitting to noise.
Lifecycle awareness: Not all voids fill. Track which boxes persist; durable voids often define the map of the session.
