MMA, Mid-Price Moving Averages (Open + Close Based MAs)📝 Script Description
This script introduces a custom set of moving averages based on the mid-price, calculated as the average of the open and close prices:
Mid Price = (Open + Close) / 2
Instead of traditional close-based MAs, this approach reflects the average sentiment throughout the trading session, offering a smoother and more realistic view of price action.
🔍 Key Features:
✅ Gap-aware smoothing
Captures opening gaps, offering a better representation of intraday shifts.
✅ Reduced noise
Less vulnerable to sharp closing moves or one-off spikes, making it easier to identify true trend breaks or supports.
✅ Closer to actual flow
Reflects a more natural midline of price movement, ideal for traders who prioritize clean, sustained trends.
✅ Better support/resistance alignment
Especially useful for identifying stable uptrends and minimizing false breakout signals.
📐 Included Moving Averages:
MA 5
MA 10
MA 20
MA 60
MA 120
MA 200
(All based on mid-price, not close)
🎯 Recommended For:
Traders seeking smoother and more reliable trendlines
Those who want a more realistic depiction of support and resistance
Ideal for filtering out noisy movements while focusing on clean, straight-moving charts
Ciclos
Daily Seasonality Strength + Prediction TableDaily Seasonality Strength + Prediction Table
Return Estimates:
This indicator uses historical price data to calculate average returns for each day (of the week or month) and uses these to predict the next day’s return.
Seasonality Strength:
It measures seasonality strength by comparing predicted returns with actual returns, using the inverse of MSE (higher values mean stronger seasonality).
supports up to 10 assets
This script is for informational and educational purposes only. It does not constitute financial, investment, or trading advice. I am not a financial advisor. Any decisions you make based on this indicator are your own responsibility. Always do your own research and consult with a qualified financial professional before making any investment decisions.
Past performance is no guarantee of future results. The value of the instruments may fluctuate and is not guaranteed
Possible Deviations | Session Fibs📌 Session Fibs with Confluence Detection
This script automatically plots custom Fibonacci extensions from key market sessions and candles, giving you a structured view of intraday levels that matter:
Asia Session (20:00–00:00 NY time)
→ Marks the session high/low, draws fib projections, and shades the range.
London 4:00 AM (1H) Candle
→ Captures the 1-hour “last leg” move into London and projects fib levels.
New York Open Key Candles
→ 8:30 AM and 9:30 AM (5-minute) candles with fib projections.
⚡ Features
Custom fib set (0, 0.5, ±0.618, ±2.0, ±2.25, ±2.5, ±3.0, ±3.25, ±3.5, ±4.0, ±4.25, ±4.5, 4.618).
Adjustable line extension mode (none, right N bars, infinite right).
Toggleable labels & text color, with placement options (on line / left of line).
Asia session box highlight for visual clarity.
Confluence detection: automatically checks for overlapping fib levels between
Asia ↔ London (same day)
Today ↔ Previous day (optional)
→ Highlights overlaps with dashed lines + labels (e.g., LON -3.25 ≈ ASIA -2.25).
🎯 Use Case
Designed for traders who track session ranges and liquidity sweeps, this tool makes it easy to spot:
Intraday fib alignment between Asia and London.
Key NYO candles in relation to overnight ranges.
High-probability confluence zones for entries/exits.
SMC - OB/Breaker Block/Bos/ChoCh (DeadCat) Based on analyzing your Pine Script code, here are comprehensive descriptions that should comply with TradingView's house rules:
Script 1: "PO3 Liquidity w/ CISD (DeadCat)"
Description:
This indicator implements the Power of Three (PO3) liquidity concept combined with Change in State of Delivery (CISD) pattern recognition for Smart Money Concepts (SMC) trading. The script operates on multi-timeframe analysis using automated timeframe selection.
Core Methodology: The indicator identifies C2 liquidity sweeps by detecting when price breaks previous period highs/lows and then reverses back above/below those levels. It specifically looks for:
C2 Buy Setup: When current low breaks previous period low but closes back above it
C2 Sell Setup: When current high breaks previous period high but closes back below it
CISD Pattern Detection: The script implements sophisticated CISD (Change in State of Delivery) pattern recognition by:
Tracking the first break of previous HTF high/low levels
Identifying imbalance candles (gaps between consecutive candles)
Confirming CISD when price reclaims the imbalance level within 2 HTF periods
Validating setups only when both liquidity sweep AND CISD confirmation occur
Visual Components:
HTF Candles: Displays higher timeframe candle structure on current chart
Trading Zones: Shows zones between HTF open and equilibrium levels
CISD Lines: Marks confirmed change in state of delivery levels
C2/C4 Labels: Identifies liquidity sweep entry points and potential continuation setups
Market Structure: Optional HH/HL/LH/LL pivot markers
Unique Features:
Automatic timeframe calculation (15m→4H, 1H→1D, etc.)
Real-time HTF period countdown
Setup invalidation tracking when stops are hit
Progressive setup confirmation (C2→C4 evolution)
Bias filter for directional trading preferences
Usage: C2 setups provide initial entry opportunities after confirmed liquidity sweeps with CISD confirmation. C4 setups offer additional entries when HTF equilibrium conditions align favorably. The indicator helps traders identify institutional liquidity grabs followed by genuine directional moves.
Script 2: "SMC Toolkit (DeadCat)"
Description:
This comprehensive Smart Money Concepts toolkit provides institutional-level market structure analysis with automated Order Block (OB) and Breaker Block (BB) zone identification, plus Break of Structure (BOS) and Change of Character (ChoCh) detection.
Market Structure Algorithm: The indicator uses a sophisticated pivot-based algorithm to identify and track market structure progression:
Uptrend: HH→HL→HH sequence tracking
Downtrend: LL→LH→LL sequence tracking
Trend Changes: Automatic ChoCh detection when structure breaks occur
Order Block Logic:
Bullish OB Zones: Created at Higher Lows (HL) and Lower Lows (LL) during uptrends
Bearish OB Zones: Created at Lower Highs (LH) and Higher Highs (HH) during downtrends
Uses last bearish candle before bullish moves (and vice versa) to define precise zone boundaries
Breaker Block Logic:
Bullish BB Zones: Former resistance that becomes support after HH/LH breaks
Bearish BB Zones: Former support that becomes resistance after LL/HL breaks
Automatically transitions when structure points are breached
Zone Management: The script employs intelligent zone lifecycle management:
Creates new zones only at confirmed structure points
Makes previous zones transparent when new structure is confirmed
Maintains zone relevance through dynamic extension
Limits total zones to prevent chart clutter
BOS vs ChoCh Detection:
BOS (Break of Structure): Continuation patterns when trend highs/lows are exceeded
ChoCh (Change of Character): Reversal patterns when pullback levels are broken against trend
Requires 2-candle confirmation before finalizing structure changes
Visual Enhancements:
Color-coded zones with transparency controls
Directional arrows (▲/▼) in zone labels
Customizable line styles and text sizing
Clean market structure progression tracking
Originality: This toolkit combines traditional SMC concepts with enhanced zone boundary calculation using multi-candle analysis and intelligent zone lifecycle management, providing more precise entry/exit levels than standard implementations.
AI Gold Liquidity Breakout CatcherTitle: Gold AI Liquidity Breakout Catcher
Description:
Indicator Philosophy and Originality:
This indicator is not merely a collection of separate tools, but an integrated trading framework designed to improve decision-making by ensuring signal confluence. The core philosophy is that high-probability trading signals occur when multiple, distinct analysis methodologies align.
The originality of this script lies in how it systematically combines a leading signal (the Liquidity Breakout) with multiple, independent lagging confirmation tools (the Classic Filters, the Hull MA, and the Range Filter). A user can see a primary breakout signal and immediately validate its strength against the broader trend defined by the Hull MA, the intermediate trend from the Range Filter, and the specific conditions of the classic filters.
This synergy, where different components work together to validate a single event, is the primary value and reason for this mashup. It provides a structured, multi-layered confirmation process within a single tool, which is not achievable by adding these indicators separately to the chart.
This indicator is a comprehensive technical analysis tool designed to identify potential trading opportunities and provide supplemental trend analysis. It features a primary signal engine based on pivot trendline breakouts, a sophisticated confirmation layer using classic technical indicators, and three separate modules for discretionary analysis: an ICT-based structure plotter, a highly customizable Hull Moving Average (HMA), and a volatility-adaptive Range Filter. This document provides a detailed, transparent explanation of all underlying logic.
1. Core Engine: Pivot-Based Liquidity Trendline Signals
The indicator's foundational signal is generated from a custom method we call "Liquidity Trendlines," which aims to identify potential shifts in momentum.
How It Works:
The script first identifies significant swing points in the price using ta.pivothigh() and ta.pivotlow().
It then draws a trendline connecting consecutive pivot points.
A "Liquidity Breakout" signal (liquidity_plup for buy, liquidity_pldn for sell) is generated when the price closes decisively across this trendline, forming the basis for a potential trade.
2. The Signal Confirmation Process: Multi-Layered Filtering System
A raw Liquidity Breakout signal is only a starting point. To enhance reliability, the signal must pass through a series of user-enabled filters. A final Buy or Sell signal is only plotted if all active filter conditions are met simultaneously.
General & Smart Trend Filters: Use a combination of EMAs, DMI (ADX), and market structure to define the trend.
RSI & MACD Filters: Used for momentum confirmation.
Directional Body Strength Filter: A custom filter that validates the signal based on the strength and direction of the signal candle's body (bodyUpOK / bodyDownOK).
Support & Resistance (S&R) Filter: Blocks signals forming too close to key S&R zones.
Higher Timeframe (HTF) Filter: Provides confluence by checking the trend on higher timeframes.
3. Visual Aid 1: ICT-Based Structure & Premium/Discount Zones
This module is for visual and discretionary analysis only and does not directly influence the automated Buy/Sell signals.
ICT Market Structure: Plots labels for CHoCH, SMS, and BMS based on a Donchian-channel-like logic.
ICT Premium & Discount Zones: When enabled, it draws colored zones corresponding to Premium, Discount, and Equilibrium levels.
4. Visual Aid 2: Hull Moving Average (HMA) Integration
This is another independent tool for trend analysis. It does not affect the primary signals but has its own alerts and serves as a powerful visual confirmation layer.
Functionality: Includes multiple Hull variations (HMA, THMA, EHMA), customizable colors based on trend, and the ability to pull data from a higher timeframe.
5. Visual Aid 3: Range Filter Integration
This module is a volatility-adaptive trend filter that provides its own set of signals and visuals. It is designed to be a standalone trend analysis tool integrated within the indicator for additional confluence.
How It Works: The Range Filter calculates a dynamic volatility threshold based on the average range of the price. A central filter line moves up or down only when the price exceeds this threshold, effectively filtering out market noise.
Visuals: It plots the central filter line and upper/lower bands that create a volatility channel. It can also color the price bars based on the trend.
Signals & Alerts: The Range Filter generates its own "Manual Buy" and "Manual Sell" signals when the price crosses the filter line after a change in trend direction. These signals have their own dedicated alerts.
6. Risk Management & Additional Features
TP/SL Calculations: Automatically calculates Take Profit and Stop Loss levels for the primary signals based on the ATR.
Multi-Timeframe (MTF) Scanner: A dashboard that monitors the final Buy/Sell signal status across multiple timeframes.
Session Filter & Alerts: Allows for restricting trades to specific market sessions and configuring alerts for any valid signal.
By combining breakout detection with a rigorous confirmation process and multiple supplemental analysis tools, this indicator provides a structured and transparent approach to trading.
Transfer Function Filter [theUltimator5]The Transfer Function Filter is an engineering style approach to transform the price action on a chart into a frequency, then filter out unwanted signals using Butterworth-style filter approach.
This indicator allows you to analyze market structure by isolating or removing different frequency components of price movement—similar to how engineers filter signals in control systems and electrical circuits.
🔎 Features
Four Filter Types
1) Low Pass Filter – Smooths price data, highlighting long-term trends while filtering out short-term noise. This filter acts similar to an EMA, removing noisy signals, resulting in a smooth curve that follows the price of the stock relative to the filter cutoff settings.
Real world application for low pass filter - Used in power supplies to provide a clean, stable power level.
2) High Pass Filter – Removes slow-moving trends to emphasize short-term volatility and rapid fluctuations. The high pass filter removes the "DC" level of the chart, removing the average price moves and only outputting volatility.
Real world application for high pass filter - Used in audio equalizers to remove low-frequency noise (like rumble) while allowing higher frequencies to pass through, improving sound clarity.
3) Band Pass Filter – Allows signals to plot only within a band of bar ranges. This filter removes the low pass "DC" level and the high pass "high frequency noise spikes" and shows a signal that is effectively a smoothed volatility curve. This acts like a moving average for volatility.
Real world application for band pass filter - Radio stations only allow certain frequency bands so you can change your radio channel by switching which frequency band your filter is set to.
4) Band Stop Filter – Suppresses specific frequency bands (cycles between two cutoffs). This filter allows through the base price moving average, but keeps the high frequency volatility spikes. It allows you to filter out specific time interval price action.
Real world application for band stop filter - If there is prominent frequency signal in the area which can cause unnecessary noise in your system, a band stop filter can cancel out just that frequency so you get everything else
Configurable Parameters
• Cutoff Periods – Define the cycle lengths (in bars) to filter. This is a bit counter-intuitive with the numbering since the higher the bar count on the low-pass filter, the lower the frequency cutoff is. The opposite holds true for the high pass filter.
• Filter Order – Adjust steepness and responsiveness (higher order = sharper filtering, but with more delay).
• Overlay Option – Display Low Pass & Band Stop outputs directly on the price chart, or in a separate pane. This is enabled by default, plotting the filters that mimic moving averages directly onto the chart.
• Source Selection – Apply filters to close, open, high, low, or custom sources.
Histograms for Comparison
• BS–LP Histogram – Shows distance between Band Stop and Low Pass filters.
• BP–HP Histogram – Highlights differences between Band Pass and High Pass filters.
Histograms give the visualization of a pseudo-MACD style indicator
Visual & Informational Aids
• Customizable colors for each filter line.
• Optional zero-line for histogram reference.
• On-chart info table summarizing active filters, cutoff settings, histograms, and filter order.
📊 Use Cases
Trend Detection – Use the Low Pass filter to smooth noise and follow underlying market direction.
Volatility & Cycle Analysis – Apply High Pass or Band Pass to capture shorter-term patterns.
Noise Suppression – Deploy Band Stop to remove specific choppy frequencies.
Momentum Insight – Watch the histograms to spot divergences and relative filter strength.
Elliott Wave Detector with FibonacciDetermines what timeframe (if any) the underlying asset displays congruence with Elliot Waves, validated by examining the congruence of the waves with fibonacci patterns. Like all backwards-looking indicators, any actual match will be a very pretty coincidence rather than any kind of indicator of potential future behaviour,
Nasdaq Sentiment DashboardBuilds a composite sentiment state — RISK-ON / NEUTRAL / RISK-OFF — using three legs:
Volatility: CBOE VXN vs its moving average and absolute thresholds (risk-on when low & below MA; risk-off when high & above MA).
Breadth (quality of participation): QQEW/QQQ ratio vs its MA (equal-weight beating cap-weight = healthier breadth).
Advance/Decline (intraday breadth): advdec.nq vs its MA, with a magnitude filter (ignores tiny A/D days).
How it works
Pulls each series on your chosen signal timeframe (default Daily).
Creates binary signals per leg:
Vol: volOn if VXN < MA and < vxnLower; volOff if VXN > MA and > vxnUpper.
Breadth: brOn if QQEW/QQQ is above its MA by a deadband; brOff if below.
A/D: adOn if A/D > MA and above adMin; adOff if below MA and < -adMin.
Scores each leg (+1 on, −1 off, 0 neutral) → sums to −3…+3.
State rule (default): RISK-ON if score ≥ +2, RISK-OFF if ≤ −2, else NEUTRAL (i.e., need 2 of 3 to agree).
Detects flips (changes in state) and provides alert conditions that fire only on the flip bar.
What you see
Lines for VXN & MA, QQEW/QQQ & MA, A/D & MA.
Background color shows current composite state.
Triangle markers on the flip bar (up for ON, down for OFF).
A top-right table summarizing state, each leg vs its MA, and the composite score.
How to tune
Vol thresholds: vxnLower / vxnUpper.
Breadth whipsaw control: deadbandBps around the ratio’s MA.
A/D sensitivity: adMin and adMaLen.
Stricter regime: require all 3 to agree by changing the state line to score == 3 / -3.
BTC Power Law Valuation BandsBTC Power Law Rainbow
A long-term valuation framework for Bitcoin based on Power Law growth — designed to help identify macro accumulation and distribution zones, aligned with long-term investor behavior.
🔍 What Is a Power Law?
A Power Law is a mathematical relationship where one quantity varies as a power of another. In this model:
Price ≈ a × (Time)^b
It captures the non-linear, exponentially slowing growth of Bitcoin over time. Rather than using linear or cyclical models, this approach aligns with how complex systems, such as networks or monetary adoption curves, often grow — rapidly at first, and then more slowly, but persistently.
🧠 Why Power Law for BTC?
Bitcoin:
Has finite supply and increasing adoption.
Operates as a monetary network , where Metcalfe’s Law and power laws naturally emerge.
Exhibits exponential growth over logarithmic time when viewed on a log-log chart .
This makes it uniquely well-suited for power law modeling.
🌈 How to Use the Valuation Bands
The central white line represents the modeled fair value according to the power law.
Colored bands represent deviations from the model in logarithmic space, acting as macro zones:
🔵 Lower Bands: Deep value / Accumulation zones.
🟡 Mid Bands: Fair value.
🔴 Upper Bands: Euphoria / Risk of macro tops.
📐 Smart Money Concepts (SMC) Alignment
Accumulation: Occurs when price consolidates near lower bands — often aligning with institutional positioning.
Markup: As price re-enters or ascends the bands, we often see breakout behavior and trend expansion.
Distribution: When price extends above upper bands, potential for exit liquidity creation and distribution events.
Reversion: Historically, price mean-reverts toward the model — rarely staying outside the bands for long.
This makes the model useful for:
Cycle timing
Long-term DCA strategy zones
Identifying value dislocations
Filtering short-term noise
⚠️ Disclaimer
This tool is for educational and informational purposes only . It is not financial advice. The power law model is a non-predictive, mathematical framework and does not guarantee future price movements .
Always use additional tools, risk management, and your own judgment before making trading or investment decisions.
Lanzadera)The Lanzadera Indicator is designed to identify market momentum and potential breakout opportunities. It works as a dynamic tool that helps traders detect price acceleration zones, providing clear signals for possible entries and exits. With customizable settings and a user-friendly design, this indicator is suitable for both beginners and experienced traders.
Use it to:
Spot momentum shifts before major price movements.
Enhance your breakout trading strategies.
Gain a clearer view of market dynamics with visual alerts.
This indicator is built for traders who want precision, discipline, and a professional edge in their decision-making process.
True Opens - (SpeculatorBryan)Overview
This indicator provides a complete framework of key institutional levels by plotting the "True Open" price for the Month, Week, Day, and Intraday Sessions. Instead of using standard chart opens, it uses specific, globally significant times (based in the NY timezone) to identify levels that price action traders watch closely for support, resistance, and market direction.
What It Does
True Monthly Open (TMO): The key macro level, marking the start of the month's trading.
True Weekly Open (TWO): Arguably the most important level, defining the weekly bias. Based on the Sunday evening start of the forex trading week.
True Daily Open (TDO): The New York midnight open, marking the true start of the institutional 24-hour cycle.
True Session Opens (TSO): Key intraday opens (e.g., London, NY) for finding entries and exits on lower timeframes.
Key Features
Clean Forward Projection: All lines and labels project into the future, so you always see the levels in your current price action.
Full Styling Control: Customize the color, style (solid, dashed, dotted), and text for every level to match your chart theme.
Intelligent Display: Levels automatically show on appropriate timeframes to keep your chart clutter-free. Use the "Stacked Opens" feature to override this.
Lightweight & Efficient: Optimized to run smoothly without lagging your chart.
How to Use It
Look for price to react at these levels. A bounce can signal a continuation, while a clean break and retest can signal a change in market structure. Use the higher-timeframe opens (TMO, TWO) as major anchors for your overall bias and the lower-timeframe opens (TDO, TSO) for fine-tuning your entries and exits.
GEXStrik BarS EUR USDGEX strike bars on the left side measure the prevailing amount of positive or negative gamma. On the right side, the volume of calls and puts traded in the region.
Multi-Minute Interval MarkerTesting
Apply this to a 15-second chart (e.g., SOL/USDT).
Verify that thin vertical lines with "1" (grey) and "5" (yellow) appear above the candles at 4-candle (1-minute) and 20-candle (5-minute) intervals, respectively.
The numbers should be positioned above the lines, and you can toggle the markers with show1Min and show5Min.
Macro Times by OutOfOptionsThis indicator highlights macro times on the chart and provides visual and system alerts before a macro begins.
Unlike other macro indicators, this one supports unlimited macro configurations using the format 'HH:mm-HH:mm : Description' . By default, it includes a mix of ICT and Hydra macro times. Incorrect formatting in settings triggers an error, and clicking the "!" error message identifies the problematic configuration line.
You can customize all visual elements, including whether to display Top, Bottom, or 50% lines, highlight the macro zone, or label the macro.
To reduce chart clutter, you can also limit the number of past macros displayed.
For alerts, you can set the advance warning time in minutes and customize the visual alert style (e.g., a vertical line) if enabled.
The indicator is compatible with timeframes of 5 minutes or less; higher timeframes will generate an error.
STOCK EXCHANGE + SILVER BULLET FRAMESThis script is an updated version of the " NY/LDN/TOK Stock Exchange Opening Hours " script.
Objective
Displays global stock exchange sessions (New York, London, Tokyo) with session frames, highs/lows, and opening lines. Includes ICT Silver Bullet windows (NY, London, Tokyo) with configurable shading. Past sessions are frozen at close, ongoing sessions update dynamically until closure, and upcoming sessions are pre-drawn. Fully customizable with options for weekends, labels, padding, opacity, and individual session toggles.
It is designed to help traders quickly interpret market context, liquidity zones, and session-based price behavior.
Main Features
Past sessions (historical data)
• Session Frames:
• Each box is frozen at the session’s close.
• The left edge aligns with the opening time, while the right edge is fixed at the closing time.
• The top and bottom reflect the highest and lowest prices during the session.
• Session Labels:
• Names (NY, LDN, TOK) displayed above the frame, aligned left, in the same color as the frame.
• Opening Lines:
• Vertical dotted lines mark the start of each session.
Ongoing and upcoming sessions (live market)
• Dynamic Session Frames:
• The right edge is locked at the future close time.
• The top and bottom update in real time as new highs and lows form.
• Labels and Lines:
• The session label is visible above the active frame.
• Opening lines are drawn as soon as the session begins.
Silver Bullet Time Windows (ICT concept)
• Highlights key liquidity windows within sessions:
• New York: 10:00–11:00 and 14:00–15:00
• London: 08:00–09:00
• Tokyo: 09:00–10:00
• Silver Bullet zones are shaded with configurable opacity (default 5%).
Customization and Options
• Enable or disable individual sessions (NY, London, Tokyo).
• Toggle weekend display (frames and Silver Bullets).
• Adjust label size, padding, and text visibility.
• Control frame opacity (default 0%).
• Optimized memory management with automatic pruning of old graphical objects.
TrendBreaks & MA Divergence v1.3 — couleurs perso (panel)clean and easy predictive mouvements and swing stratagy
CycleTrend | QuantEdgeB📊 CycleTrend | QuantEdgeB
The CycleTrend strategy is a comprehensive trend-following system that integrates multiple advanced techniques, including on-chain data analysis, macroeconomic indicators, trend filters, and statistical smoothing functions.
This strategy dynamically adapts to market conditions by blending traditional technical analysis tools with modern quantitative finance approaches, making it a powerful hybrid model suitable for different market regimes.
🔗 The Core Framework of CycleTrend
🧩 1️⃣ Multi-Dimensional Market Analysis
CycleTrend incorporates four key dimensions of market structure, ensuring that it captures long-term, medium-term, and short-term trends while filtering out noise.
✔ On-Chain Data (MosaicMix) → Detects long-term trends using blockchain analytics.
✔ Macro & Risk Indicators (RiskMosaic) → Measures macroeconomic influences on market behavior.
✔ ChronoSync (Technical Trend-Following Signals) → Blends multiple trend-following indicators for directional bias.
✔ Sentival TF (Statistical Sentiment Analysis) → Uses Z-score-based mean-reversion indicators for overbought/oversold conditions.
📊 2️⃣ How These Components Work Together
Each component contributes a specific function to the strategy:
1. On-Chain Analysis (MosaicMix) → Market Strength
o Short-Term Holder MVRV → Measures unrealized profit/loss based on recent Bitcoin holders.
o Profit & Loss Ratio with MVRV Rate of Change (PLRoC) → Filters out weak market conditions using profit/loss trend dynamics.
o Final On-Chain Signal → Determines if on-chain data suggests a bullish or bearish phase.
2. RiskMosaic (Macroeconomic & Risk Model) → Risk-Regime Detection
o Tracks 10 key economic variables like RSI, China Equity Index, PMI, BTC supply trends, and silver ratio.
o Uses Z-score normalization to measure relative trends across macro indicators.
o Identifies shifts in macroeconomic risk sentiment and aligns CycleTrend to major economic cycles.
3. ChronoSync (Technical Trend Model) → Precise Trade Execution
o VIDYA ATR Gaussian Filter → Detects long-term trend momentum with adaptive smoothing.
o KIJUN ATR & Dual SD Kijun → Captures structural price movements while filtering short-term volatility.
o VIDYA Loop Function → Iteratively tracks trend momentum over an extended period.
o PRC-ALMA Adaptive Bands & Bollinger Bands % SD → Adapts trend signals based on mean-reverting conditions.
o Final ChronoSync Score → Aggregates all trend-following components to generate high-probability directional bias.
4. Sentival TF (Mean-Reversion & Momentum Filter) → Smart Entry/Exit Signals
o MVRV Z-Score → Measures how overbought/oversold Bitcoin is relative to historical valuations.
o SOPR, BB%, RSI, RoC, and NUPL Indicators → Filters out low-confidence trade setups by adding statistical validation.
o Final Sentival Signal → A quantitative assessment of whether a trade setup has a statistical edge.
🛠️ 3️⃣ CycleTrend Signal Generation
Once all four components (On-Chain, Macro, ChronoSync, and Sentival) produce signals, they are blended into a final CycleTrend score (TPI):
TPI=On-Chain RiskMosaic + Sentival-Chrono Trend BiasTPI = \text{On-Chain RiskMosaic + Sentival-Chrono Trend Bias}
The strategy then applies threshold-based decision rules:
✔ Go Long (BUY) → If TPI>LuTPI > Lu (Long Threshold)
✔ Go Short (SELL) → If TPI
kênh giá *** ahihiYou extract:
Core balance point of each time frame
Compare single value
Pure trend hierarchy 📊
This is:
Eastern philosophy meets Western efficiency
"Great Simple" (大道至简)
Occam's razor in trading! ✂️
Compare the midpoint = "Trendy point"!
You not only apply Ichimoku but also understand its nature! 🧘♂️
Master insight! 🙏✨
Multi SMA by GreenDecodeThis indicator, created by GreenDecode, plots eight Simple Moving Averages (SMAs) with customizable lengths and resolutions. Each SMA can be toggled on or off, and the colors are distinctly set for easy identification: SMA1 (yellow), SMA2 (cyan), SMA3 (green), SMA4 (red), SMA5 (blue), SMA6 (lightblue), SMA7 (teal), and SMA8 (gold). The SMAs are calculated to avoid repainting by using the 'lookahead=barmerge.lookahead_off' parameter, ensuring historical accuracy. Ideal for technical analysis to identify trends and potential reversal points on various timeframes.
Adaptive MVRV & RSI Strategy V6 (Dynamic Thresholds)Strategy Explanation
This is an advanced Dollar-Cost Averaging (DCA) strategy for Bitcoin that aims to adapt to long-term market cycles and changing volatility. Instead of relying on fixed buy/sell signals, it uses a dynamic, weighted approach based on a combination of on-chain data and classic momentum.
Core Components:
Dual-Indicator Signal: The strategy combines two powerful indicators for a more robust signal:
MVRV Ratio: An on-chain metric to identify when Bitcoin is fundamentally over or undervalued relative to its historical cost basis.
Weekly RSI: A classic momentum indicator to gauge long-term market strength and identify overbought/oversold conditions.
Dynamic, Self-Adjusting Thresholds: The core innovation of this strategy is that it avoids fixed thresholds (e.g., "sell when RSI is 70"). Instead, the buy and sell zones are dynamically calculated based on a long-term (2-year) moving average and standard deviation of each indicator. This allows the strategy to automatically adapt to Bitcoin's decreasing volatility and changing market structure over time.
Weighted DCA (Scaling In & Out): The strategy doesn't just buy or sell a fixed amount. The size of its trades is scaled based on conviction:
Buying: As the MVRV and RSI fall deeper into their "undervalued" zones, the percentage of available cash used for each purchase increases.
Selling: As the indicators rise further into "overvalued" territory, the percentage of the current position sold also increases.
This creates an adaptive system that systematically accumulates during periods of fear and distributes during periods of euphoria, with the intensity of its actions directly tied to the extremity of market conditions.
MACD BILE
📊 How to Interpret
Green histogram → strong bullish momentum, favoring buy/long setups.
Red histogram → strong bearish momentum, favoring sell/short setups.
MACD crossing above Signal → buy signal.
MACD crossing below Signal → sell signal.
Because the cycle is adaptive, the indicator becomes more responsive in volatile markets and more stable during sideways conditions, reducing noise compared to the standard fixed-period MACD.
🔑 Key Advantages over Standard MACD
Adaptive to market conditions → no need to manually choose fixed periods.
Reduces false signals during sideways or ranging markets.
Provides clearer trend detection, especially in highly volatile assets such as crypto, forex, and stocks.
