MEGA Sector Rotation CRYPTOCAP - 7 Narrativas 5m### MEGA Sector Rotation CRYPTOCAP - 7 Narratives
**Description for publishing on TradingView:**
This advanced indicator lets you visualize in real time the **rotation of narratives** within the crypto market through 7 key sectors, normalized for perfect side-by-side comparison.
Each line represents the **historical relative strength** (min-max normalization over 5000 bars) of a specific narrative, based on TradingView's official aggregated market caps (CRYPTOCAP) and custom sums. The lines oscillate between 0 and 100, with clear crossovers signaling when a sector is gaining or losing momentum relative to the others.
**The 7 narratives included:**
1. **Layer1** (pink) – Aggregated market cap of major Layer 1 blockchains.
2. **Memecoins** (bright green) – Official MEME.C sector (PEPE, SHIB, WIF, BONK, etc.).
3. **AI** (orange) – Artificial Intelligence and Big Data narrative.
4. **Exchanges** (purple) – Exchange tokens (centralized and decentralized).
5. **DeFi Total** (cyan) – Full aggregated market cap of the DeFi ecosystem.
6. **RWA Custom** (brown) – Custom sum of Real World Assets: ONDO + LINK + CFG + SYRUP.
7. **Privacy** (dark orange) – Custom sum of privacy coins: XMR + ZEC + DASH.
**Quick interpretation:**
- Line >80 and rising → Narrative is **HOT** (strong bullish rotation).
- Line <20 → Narrative is **COLD** (losing strength).
- Bullish crossovers → Money rotating into that sector.
- Transparent fills between lines to highlight leadership zones.
**Features:**
- Optimized for **lower timeframes** (5m, 15m, 1H, 4H) → ideal for day trading and scalping narratives.
- Works on any TF thanks to 5-minute resolution data.
- Thick lines, vibrant colors, and horizontal references (20/50/80) for instant reading.
Perfect for spotting early which narrative is attracting capital flows and anticipating sector moves in the crypto market.
Add this indicator and trade rotations like a pro!
#crypto #sectorrotation #narratives #altcoins #tradingview
週期
5 Layer Script P5 ICT Identifier Package (Sessions + Narrative)This script is a session-based market narrative framework designed to help traders understand where price is likely seeking liquidity and alignment, rather than focusing on isolated entries.
This script mainly identifies and labels the Asia, London, and New York trading sessions, providing structure for how price behavior evolves throughout the day. It is intended to be used as a context and timing tool.
How it works
-Automatically maps Asia, London, and New York sessions
-Highlights session ranges and transitions
-Helps visualize accumulation, expansion, and distribution phases
-No repainting once a session is completed
How to use it
-Use Asia to observe range formation and liquidity build-up
-Use London for expansion, manipulation, or early continuation
-Use New York for confirmation, continuation, or reversal (IMPORTANT)
-Align session behavior with:
Higher-timeframe bias
Midpoint equilibrium levels
Fair Value Gaps
Signal or Potential Reversal confirmations
Best practices
-Avoid treating sessions as directional signals
-Focus on session objectives, not candle patterns
-Most effective on futures, indices, and liquid FX pairs
-Works best when combined with higher-timeframe structure
This package is intentionally narrative-driven and non-mechanical, allowing traders to frame intraday price action within a repeatable session logic rather than reactive decision-making.
ADDITIONAL: If youve made it this far i will tell you a cheat code to this specific script. Once you alligned your standard time for the sessions you will notice that if you set the sessions to close properly i recommend asking Chatgpt or any other AI tool, you will notice that the sessions end a few hours earlier for NY. You should see a label pop up for the NY just like the Asia and London session. That signal will tell you the next potential move only if you utilize the ICT killzones cheatsheet, easy to find on google images and I will attach it here if possible. its definetly mixed up but thats just market structure, only one you should pay attention to take a trade is the end of the NY session if adjusted properly. over 90% success rate following this strategy. I will add the link for the full cheat sheet below
www.scribd.com
5 Layer Script P4 Potential Reversals Package This script is a context based potential reversal framework designed to highlight areas where directional risk may shift, not to predict exact tops or bottoms.
The script focuses on identifying exhaustion, failed continuation, and structural hesitation after price has completed an expansion or interacted with key higher-timeframe levels. It is intended to alert traders to possible inflection zones, where confirmation should be actively monitored.
How it works
-Detects conditions associated with loss of momentum or displacement failure
-Highlights potential reversal zones only after price interaction occurs
-Requires context and confirmation — no blind reversal signals
-No repainting once a zone or marker is confirmed
How to use it
-Use as an early warning tool, not an entry system
-Best applied after: Liquidity runs, Range extremes and Higher timeframe midpoint or boundary interaction
Look for confirmation such as:
-Market structure shifts
-Reaction at FVGs
-Signal Package confirmation
Entries should be executed on lower timeframes with risk defined but can be utilized on bigger timeframes as a swing if confirmed
Best practices
-Counter-trend setups require strong higher-timeframe confluence
-Not every highlighted zone will result in a reversal
-Works best during active sessions when liquidity is present
-Avoid using during low-volume or compressed ranges
This package is intentionally non-predictive and confirmation-dependent, designed to keep traders aligned with risk awareness rather than anticipation. However some signals can be treated as entries if "YOUVE IDENTIFIED THE RISK"- Mark Douglas
5 Layer Script FVG P3 Identifier Package True vs FalseThis script is a Fair Value Gap (FVG) identification framework designed to highlight price inefficiencies created by displacement, not to predict reversals or force entries. The script automatically detects and plots true three candle fair value gaps, allowing traders to objectively identify areas where price moved with imbalance and may later seek re-equilibration. Where you will see the FVG will update from a regular fvg to a True FVG.
How it works
-Identifies valid FVGs based on price displacement, not arbitrary candle size
-Plots FVG zones only after they are fully formed and confirmed
-Zones remain on the chart until price interacts with them
-No repainting once an FVG is printed
How to use it
-Use FVGs as areas of interest, not entry signals
-Best applied when price is returning after expansion
-Combine with: Higher-timeframe bias and Midpoint equilibrium levels
-Market structure shifts
-Liquidity sweeps or session timing
Entries should be taken only after confirmation (reaction, rejection, or shift)
This can be a good entry tool.
ICT Macros FuturesAll Macros Detected:
Early / Pre Market
- 02:33 – 03:10 (NY)
- 04:03 – 04:30
- 05:20 – 05:40
- 05:50 – 06:10
- 07:50 – 08:10
- 08:20 – 08:40
Cash Open / Morning
- 08:50 – 09:10
- 09:20 – 09:40
- 09:50 – 10:10
Midday / Lunch
- 10:50 – 11:10
- 11:50 – 12:10
- 12:00 – 13:30 (Lunch Hour)
Afternoon
- 13:10 – 13:40
- 14:20 – 14:40
- 15:15 – 15:45
- 15:50 – 16:10
BTC - Cycle Integrity Index (CII) BTC - Cycle Integrity Index (CII) | RM
Are we following a calendar or a capital flow? Is the Halving still the heartbeat of Bitcoin, or has the institutional "Engine" taken over?
The most polarized debate in the digital asset space today centers on a single question: Is the 4-year Halving Cycle dead? While some market participants wait for a pre-ordained calendar countdown, the reality of 2026 suggests that visual guesswork is no longer sufficient. As institutional gravity takes hold, we cannot rely on the simple "Clock" of the past. Instead, we must audit the Integrity of the present.
The Cycle Integrity Index (CII) was engineered to move beyond simple price action and provide a clinical answer to the market's biggest mystery: "Is this trend supported by structural substance, or is it merely speculative foam?" By aggregating eight diverse Pillars into a single 0-100% score, this model uses Gaussian Distributions and Sigmoid Normalization to distinguish between professional accumulation and retail-driven chaos. We aren't guessing where we are in a cycle; we are measuring the internal health of the asset's engine in real-time.
Why these 8 Pillars?
The CII does not rely on a single indicator because the "New Era" of Bitcoin is multi-dimensional. To capture the full picture, I selected eight specific pillars that cover the three layers of market truth:
• The Capital Layer: Global Liquidity (M2) and ETF Flows (Wall Street Absorption).
• The Network Layer: Mining Difficulty and Security Backbone expansion.
• The Sentiment Layer: Long-Term Holder conviction, Valuation Heat (MVRV), and Corporate Adoption (MSTR). While alternatives like the Pi Cycle or RSI exist, they are often "one-dimensional." The CII is a synthesis—a modular engine where every part validates the others.
How the Calculation Works
The CII is a sophisticated model for Bitcoin. It aggregates 8 diverse pillars into a single 0-100% score in the following way:
• Mathematical Normalization: We don't just use raw prices. We use Gaussian Distributions to find "Institutional DNA" in drawdowns and Sigmoid (S-Curve) functions to score volatility and valuation.
• Dynamic Weighting: The index is modular. If a data source (like a specific on-chain metric) is toggled off, the engine automatically redistributes the weight among the active sensors so the final integrity score is always balanced to 100%.
• Multi-Source Integration: The script pulls from Global Liquidity (M2), ETF flows, Corporate Treasury premiums (MSTR), and Network Difficulty to create a truly "Full-Stack" view of the asset.
The 8 Pillars of Integrity
Pillar 1: Drawdown DNA The "Identity Crisis" Filter
• Concept: Audits the depth of corrections to distinguish between "Institutional Floors" and "Retail Panics."
• Logic: Historically, retail crashes reached -80%, while institutions view -20% to -25% as primary value entries.
• Implementation: Uses a Gaussian (Normal) Distribution centered at -25%. Scores of 10/10 are awarded for holding institutional targets; scores decay as drawdowns accelerate toward legacy "crash" levels.
Basis: DNA Drawdown
Pillar 2: Volatility Regime The "Smoothness" Audit
• Concept: Measures the "vibration" of the trend. High-integrity moves are characterized by "smooth" price action.
• Logic: Erratic volatility signals speculative bubbles; consistent "volatility clusters" indicate professional trend-following.
• Implementation: Calculates a Z-Score of the 14-day ATR against a 100-day benchmark. This is passed through a Sigmoid function to penalize "chaotic" price shocks while rewarding stability.
Basis: RVPM
Pillar 3: Liquidity Sync (Global M2) The Macro Heartbeat
• Concept: Audits whether price growth is fueled by monetary expansion or internal speculative leverage.
• Logic: True cycle integrity requires a positive correlation between Central Bank balance sheets and price action.
• Implementation: Aggregates a custom Global Liquidity Proxy (Fed, RRP, TGA, PBoC, ECB, BoJ). It measures the Pearson Correlation between BTC and M2 with a standardized 80-day transmission lag.
Basis: Liquisync
Pillar 4: ETF Absorption (Wall Street Entry) The "Cost Basis" Defense
• Concept: Tracks the aggregate institutional cost-basis since the January 2024 Spot ETF launch.
• Logic: Integrity is high when the "Wall Street Floor" is defended; it fails when the aggregate position is underwater.
• Implementation: A Cumulative VWAP engine tracking the "Big 3" (IBIT, FBTC, BITB). Scoring decays based on the percentage distance the price drifts below this institutional average entry.
Basis: Institutional Cost Corridor
Note: Turning this to OFF will significantly expand the timeframe of the indicator on the chart (otherwise it will just start in 2024)
Pillar 5: LTH Dormancy (Conviction) The HODL Floor Audit
• Concept: Monitors the conviction of Long-Term Holders (LTH) to identify supply-side constraints.
• Logic: Sustainable cycles require stable or increasing 1Y+ dormant supply; rapid "thawing" signals distribution.
• Implementation: Uses Min-Max Normalization on the Active 1Y Supply over a 252-day window. A score of 10/10 indicates peak annual holding conviction.
Basis: RHODL Proxy & VDD Multiple
Pillar 6: Valuation Intensity The MVRV Heat Map
• Concept: Measures market "overheat" by comparing Market Value to Realized Value.
• Logic: High integrity trends rise steadily; vertical spikes in MVRV indicate "speculative foam" and bubble risk.
• Implementation: Performs a Relative Rank Analysis of the MVRV Ratio over a 730-day window, passed through a high-steepness Sigmoid curve to identify extreme valuation anomalies.
Pillar 7: Miner Stress The Security Backbone
• Concept: Tracks Mining Difficulty to ensure network infrastructure is expanding alongside price.
• Logic: Difficulty expansion signals health; drops in difficulty (Miner Stress) signal capitulation and sell-side pressure.
• Implementation: Monitors the 30-day Rate of Change (ROC) of Global Mining Difficulty. Maintains a 10/10 score during expansion; decays rapidly during network contraction.
Pillar 8: Corporate Adoption The MSTR NAV Proxy
• Concept: Audits the MicroStrategy (MSTR) premium as a barometer for institutional demand.
• Logic: A high premium indicates a willingness to pay a "convenience fee" for BTC exposure; a collapsing premium signals waning appetite.
• Implementation: Calculates the Adjusted Enterprise Value (Market Cap + Debt - Cash) relative to the Net Asset Value (NAV) of its BTC holdings.
Note1: Debt and share parameters are user-adjustable to maintain accuracy as corporate balance sheets evolve.
Note2: I just included this because I was curious about the mNAV calculation I saw in other scripts, where the printed value often does not match exactly the propagated value from the MSTR page itself. Hence, for my live calculation, we calculate the Adjusted Enterprise Value to find the "Market NAV" (mNAV). Unlike simpler scripts that only look at Market Cap vs. Bitcoin holdings, our engine accounts for the Capital Structure . We explicitly factor in the corporate debt (approx. $8.24B long-term + $7.95B convertible notes) and subtract the cash reserves (approx. $2.18B) to find the true cost Wall Street is paying for the underlying Bitcoin. Since this will ran "old" very quickly, I recommend to update in the code by yourself from time to time, or just de-select this parameter.
Interpretation Guide
• Score 100% (The Perfect Storm): This represents a state of "Maximum Integrity." All 8 pillars are in perfect institutional alignment—liquidity is surging, conviction is at yearly highs, and price action is perfectly smooth. This is the hallmark of a healthy, structural parabolic run.
• 75% - 100% (High Integrity): Robust trend. Price is supported by structural demand and macro tailwinds.
• 35% - 75% (Equilibrium): Transition zone. The market is digesting gains or waiting for a new liquidity pulse.
• 0% - 35% (Fragile): Speculative foam. Structural support has failed.
• Score 0% (The Ghost Trend): Absolute structural failure. All pillars (liquidity, miners, LTH, ETFs) have broken down. Note: Due to the robust nature of the Bitcoin network, the index naturally floors around 20-30% during deep bear markets, as specific pillars (like Miner Security) rarely drop to zero.
To provide a complete experience, I have included the Cycle Triad —a visualization layer consisting of the Halving, Ideal Peak, and Ideal Low. It is important to understand the role of this feature:
• Benchmark Only (Not Calculated): The Triad is based purely on historical evidence from previous Bitcoin epochs. While the Halving is fixed anyway, the "Ideal Peak" or "Ideal Low" are not calculated or computed by the 8 pillars. These are user-adjustable temporal anchors drawn on the chart to provide a static map of the "Legacy 4-Year Cycle."
• The Temporal Audit: The power of the CII lies in comparing the Engine (the 8 Pillars) against the Clock (the Triad) . By overlaying historical time-windows on top of our integrity math, we can see if the "New Era" is currently ahead of, behind, or perfectly in sync with the past.
• The "Peak Divergence" Logic: Based on the specific models selected for this ECU—specifically Volatility Decay and Valuation Heat —traders will notice that a cycle peak often coincides with a low integrity score (Red Zone) . While the index measures structural health, a low score is a byproduct of a market that has become "too hot to handle."
• Regime Detection: Although the primary goal is to audit the "New Era," the CII is highly effective at detecting overheated regimes. When the score drops toward the 25–35% range, the structural floor is giving way to speculative foam—making it a dual-purpose tool for both cycle analysis and risk management.
Dashboard Calibration & Settings
Cycle Triad Calibration
• Ideal Peak/Trough Window: Defines the historical "Average Days" from a Halving to the cycle top and bottom. This sets the vertical anchors for the Halving, Peak, and Low labels.
• Show Cycle Triad: A master toggle to enable or disable the temporal lines and labels on your dashboard.
The CII Master ECU is fully modular. You can toggle individual pillars ON/OFF to focus on specific market dimensions, and calibrate the sensitivity of each sensor to match your strategic bias.
• P1: Drawdown DNA Lookback (Weeks): Defines the window for the "Rolling High." Inst. Target (%): The specific percentage drawdown you define as "Institutional Support" (e.g., -25%).
• P2: Volatility Regime Benchmark (Days): The historical window used to define "Normal" vs. "Abnormal" volatility.
• P3: Liquidity Sync Corr. Window (Bars): The lookback for the Pearson Correlation calculation. Transmission Lag (Bars): The delay (standard 80 days) for Central Bank M2 to hit price.
• P4: ETF Absorption FBTC Ticker: The data source for the ETF volume audit (Default: CBOE:FBTC).
• P5: LTH Dormancy LTH Source: The ticker for 1Y+ Active Supply (Default: GLASSNODE:BTC_ACTIVE1Y). Norm. Window: The lookback (252 days) used to rank current conviction.
• P6: Valuation Intensity MVRV Source: The ticker for the MVRV Ratio (Default: INTOTHEBLOCK:BTC_MVRV). Relative Window: The lookback (730 days) to calculate the valuation rank.
• P7: Miner Stress Mining Diff: The data source for Global Mining Difficulty (Default: QUANDL:BCHAIN/DIFF).
• P8: Corporate Adoption Shares (M) & BTC (K): The balance sheet parameters for MicroStrategy (MSTR). Update these as the company executes new purchases to maintain mNAV accuracy.
Operational Usage This index is best used on the Daily (D) (recommended - description for inputs optimized for this time-window) or Weekly (W) timeframes. While the code is optimized to fetch daily data regardless of your chart setting, the structural "Integrity" of a cycle is a macro phenomenon and should be viewed with a medium-to-long-term lens.
The Verdict: Is the 4-Year Cycle Still Alive?
Based on the data provided by the CII Master ECU, the answer remains a nuanced "Work in Progress." The evidence presents a fascinating conflict between legacy patterns and the new institutional regime:
• The Case for the Cycle: Historically, a local "Peak" in price corresponds with a "Local Low" in our integrity indicator (Red Zone). We observed this exact phenomenon in October 2025. When viewed through the lens of the "Ideal Peak" anchor, this alignment suggests that the 4-year temporal rhythm is still exerts a massive influence on market behavior.
• The Case for the New Era: While the timing of the October 2025 peak followed the legacy script, the intensity did not. Previous cycle tops produced far more aggressive and persistent "Red Zone" clusters. The relative brevity of the integrity breakdown suggests that the "Institutional Era" provides a much higher floor than the retail-driven bubbles of 2017 and 2021.
• The Institutional Floor: Our data shows that while "Tops" still resemble the 4-year cycle, the "Lows" now reflect a regime of constant institutional absorption. This suggests that the brutal 80% drawdowns of the past may be replaced by the "Institutional DNA" of Pillar 1.
Final Outlook: As we move through 2026, the ultimate test lies in the Q3/Q4 window. While classical theory demands a "Cycle Low" during this period, the CII will be our primary auditor. We cannot definitively say the cycle is dead, but we can say it has evolved. We will not know if the 4-year low will manifest until the model either flags a total structural breakdown or confirms that the institutional "Floor" has permanently shifted the rhythm of the asset.
Tags: Bitcoin, Institutional, Macro, On-chain, Liquidity, MSTR, ETF, Cycle
Note to Moderators: This script is a "Master Index" that aggregates several quantitative models I have previously published on this platform (including DNA Drawdown, RVPM, and Liquisync). I am the original author of the logic and source code referenced in the "Basis" sections of the description.
Momentum Regime and Confluence EngineThe Momentum Regime and Confluence Engine is a momentum-based indicator designed to help traders understand trend context, alignment, and timing—without relying on price prediction or repainting logic.
Instead of telling you what to buy or sell, this tool answers three critical questions:
Which timeframe is in control?
Is short-term momentum aligned or counter-trend?
When is momentum likely to change?
🔹 Core Concept (Simple Explanation)
Markets move in cycles of momentum.
This indicator visualizes those cycles across Weekly and Daily timeframes and places them into a single, easy-to-read view.
Weekly momentum defines the broader market regime
Daily momentum shows shorter-term pressure inside that regime
Projection provides an early visual guide for potential momentum shifts
🟢🔴 Momentum Lines (%K / %D)
The indicator uses two smooth momentum lines:
Green line → rising momentum pressure
Red line → declining momentum pressure
These lines move between 0 and 100:
Near 0 → downside momentum is exhausted
Near 100 → upside momentum is exhausted
When green is above red, momentum is improving.
When red is above green, momentum is weakening.
🟥🟩 Weekly Context Background (Primary Trend)
The background color represents the Weekly momentum regime:
Green → Weekly bullish context
Red → Weekly bearish context
Gray → Neutral / transitional phase
Weekly context changes slowly by design and uses hysteresis logic, meaning it will not flip back and forth near a crossover. Momentum must prove itself before the regime changes.
This helps reduce false signals and whipsaws.
🟢🔴 Daily Context Overlay (Timing Layer)
A lighter background overlay shows Daily momentum context:
Reacts faster than the weekly layer
Can temporarily move against the weekly trend
Highlights pullbacks, relief rallies, and short-term shifts
Examples:
Weekly red + Daily green → short-term bounce in a downtrend
Weekly green + Daily red → pullback in an uptrend
📈 Projection & “Projected Cross”
The indicator includes an optional momentum projection:
It analyzes a historical momentum pattern
Maps that behavior forward in time
Displays a projected path for the momentum lines
A “Projected Cross” label marks where a momentum crossover is likely to occur if similar conditions repeat.
Projections are scenarios, not guarantees.
They are intended as early awareness, not signals.
🏷 Weekly Context Tag
A small on-screen tag displays the current Weekly regime:
W Context: Bull
W Context: Bear
W Context: Neutral
This provides quick confirmation without needing to interpret colors alone.
🧭 How to Use This Indicator
Start with the Weekly background
Identify the dominant market regime.
Check the Daily overlay
Look for alignment or counter-trend behavior.
Watch for projected momentum shifts
Prepare for volatility or transition.
Use price for confirmation
Momentum often shifts before price reacts.
✅ Best Use Cases
Identifying trend regime and momentum bias
Avoiding trades against higher-timeframe pressure
Timing pullbacks and momentum reversals
Staying objective during market noise
⚠️ Important Notes
This indicator does not predict price
It does not generate buy/sell signals
It is a context and timing tool, not a standalone strategy
Final Thought
The Momentum Regime and Confluence Engine is designed to help traders see who is in control, who is pushing back, and when momentum is likely to change—before price makes it obvious.
Yield Spread [Breakout Fixed]This is an indicator used to view interest rate spread(mainly 5-year yield spread). It simply draws a Turtle Channel breakout (a channel of the highest high and lowest low over the past X days).
The logic behind this indicator is that interest rate differentials serve as an important reference for global capital in currency trading. A very famous example is the Yen carry trade. If the interest rate of a currency pair breaks out ahead of its price chart, it might be worth considering the broader macro trend. (Of course, this isn’t always accurate—it’s just for reference.)
The main data source is from TradingView.
这是一个用来查看利率差的指标。简单的画了海龟突破(过去X天最高和最低的通道)
这个指标的逻辑是,利率差是全球资金对于外汇交易的重要参考。非常著名的就是日元套息交易。如果一个货币对的利率先于图形突破了,那可能得思考一下宏观大方向。(当然这不一定对,只是参考)
主要用的数据源是tradingview上面找的。
CAP - CSI [Auto-MTF]The CAP - CSI is a Digital Signal Processing (DSP) tool based on the principles of Lars von Thienen’s "Dynamic Cycles." While traditional oscillators often fail in trending markets by staying "pinned" at extremes, the CSI uses a recursive dual-thrust processor to isolate the underlying market rhythm, helping traders identify when a cycle is genuinely exhausted.
Core Methodology
This script implements a Cycle Swing Momentum processor. It calculates the difference between short-term and long-term "thrusts" to extract the dominant cycle from price action. Unlike static indicators, it uses Dynamic Percentile Banding to adapt its overbought and oversold levels based on the market's recent "cyclic memory."
Key Features
Pivot Point Detection: Identifies exhaustion when the CSI extends outside its dynamic bands and begins to pivot back toward the mean.
Trend-Aware Coloring: The area fill uses slope-based logic to differentiate between "Rising/Falling" momentum and "Bullish/Bearish" strong zones.
HTF (5x): Built-in logic to define the larger cycle trend. I recommend using a 5x multiplier (e.g., viewing 4H cycles on a 1H chart) to ensure you are trading with the macro flow.
Zero Line Equilibrium: Clear visualization of the cycle's position relative to its center-point to determine the current market regime.
The "Trending" Challenge
A common pitfall with DSP-based cycle tools is that they can generate "phantom" signals during powerful, linear trending conditions. This script is my attempt to solve that by integrating HTF confluence and slope-based filtering. It is specifically optimized for:
Futures: ES, NQ, RTY, and GC.
US Equities: (NVDA, TSLA, etc.).
Additional tip, search for Strong relative strength Symbols, I've created this script : CAP - Mansfield Relative Strength, but there are many there "Mansfield Relative Strength" indicators available.
Why I am sharing this
This is an ongoing project. I am releasing this to the public to connect with other traders interested in Lars von Thienen’s work or John Ehlers’ DSP techniques. My goal is to collaborate with the community to refine the processor further and build a consistent, profitable system that can distinguish between a cycle turn and a trend continuation.
Intervalo de la confianza 10 Bollinger Bands y IC-FUD12 Y 14Este Intervalo de la Confianza= IC-10 Bollinger Bands les puede ser una herramienta para
ver donde se encuentra el precio si en FOMO o FUD
Analicen la parte de abajo del Bollinger Bands, donde IC-10 FUD cruza arriba de IC-14 FUD.
Esta herramienta no es in ningun momento una forma de consejo de inversion ni de trading.
Cada quien va con sus propios riesgo en perdidas porque en ganancias nadie comparte sus ganancias nadie comparte sus perdidas.
This Confidence Interval (CI-10) Bollinger Bands can be a tool to help you see where the price is in terms of FOMO or FUD. Analyze the lower part of the Bollinger Bands, where the CI-10 FUD crosses above the CI-14 FUD.
This tool is not, under any circumstances, investment or trading advice. Everyone assumes their own risk of loss, because no one shares their profits or losses.
CAP - cRSI cyclic smoothed [MTF]Introduction This indicator is a Multi-Timeframe (MTF) adaptation of the Cyclic Smoothed RSI (cRSI), based on the foundational work of Lars von Thienen and his book "Decoding The Hidden Market Rhythm". It allows traders to visualize cyclic momentum and identify potential turning points by adapting standard RSI calculations to a dominant market cycle.
How It Works Unlike a standard RSI which uses fixed periods, the cRSI uses "cyclic memory" to adjust its sensitivity:
Cyclic Smoothing: It smooths the RSI based on a user-defined Dominant Cycle Length (default: 20 bars).
Dynamic Bands: Instead of static overbought/oversold levels (like 70/30), this script calculates dynamic upper and lower bands that adapt to recent volatility and cyclic distribution.
MTF Capability: You can view the cRSI of a higher timeframe (e.g., Daily) while looking at a lower timeframe chart (e.g., H1) to align your entries with the broader trend.
My Trading Strategy & Context I am sharing this to start a conversation on how to optimize cyclic tools for Equity markets. My current workflow is:
- Timeframe: I analyze Daily candles for the main trend but look for entries on Intraday (H1).
- Confluence: I combine this cRSI with the CSP - CSI (Cyclic Swing Indicator).
- Momentum & Trend: I use Williams %R to read immediate momentum, and check trend direction using EMA9 and SMA30.
- Entries: On the H1 chart, I look for VWAP interactions to trigger the entry once the Daily cRSI confirms the cycle low/high.
Let's Collaborate I am looking for constructive feedback to refine this strategy. Please leave a comment below regarding:
- Settings: Have you found a Dominant Cycle Length other than 20 that works better for Crypto or FX volatility?
- Filtering: What filters do you use to avoid "catching a falling knife" when the bands widen significantly?
- Backtesting: If you have visual backtest results using this with VWAP, please share your findings.
Note: This script is for educational purposes and collaborative research. Please backtest all strategies before live trading.
#Cycles, #RSI, #Momentum, #Lars von Thienen, #MTF
XRP Cycle Timing 42XRP Cycle Timing (42) is a time-based market structure indicator designed to visualize recurring cycle behavior using evenly spaced timing nodes. It focuses on when potential structural transitions occur rather than predicting price direction outright.
The indicator projects repeating cycle points across past, current, and future market phases, allowing traders to study rhythm, symmetry, and temporal alignment in price action.
How It Works
The script divides market activity into repeating cycles of fixed length (default: 42 bars) and marks six internally consistent timing points within each cycle. These points are plotted as vertical guides and labeled numerically (1–6).
Optional timing windows highlight tolerance zones around each cycle point, helping users observe how price interacts with these recurring time intervals.
In addition, the indicator can display HIT markers when short-term momentum conditions align with a cycle point. These events are intended as contextual confirmations, not trade signals.
Intended Use
This indicator is best used to:
Study market rhythm and repetition
Compare current price behavior to prior cycles
Identify late-cycle vs early-cycle conditions
Provide time-based context alongside other tools such as trend, momentum, or volatility indicators
It is not a standalone trading system and should be used in conjunction with other forms of analysis.
Asset-Specific Settings (Important)
⚠️ Current default settings are optimized specifically for XRP.
The cycle length, internal timing points, and momentum sensitivity were calibrated using XRP historical behavior.
While the indicator can be applied to other assets, optimal results typically require manual adjustment of:
Cycle length
Timing point spacing
Momentum confirmation settings
Different assets often exhibit different temporal structures, so users are encouraged to experiment and adapt settings accordingly.
Customization
Users can:
Adjust cycle length and timing points
Toggle past, current, and future cycle projections
Enable or disable timing windows
Enable or disable HIT confirmations
Modify visual styling for clarity
These options allow the indicator to be adapted to different timeframes, market conditions, and personal workflows.
Notes
This script focuses on time structure, not price targets.
Future cycle projections are for visual reference only and do not imply future price direction.
All drawings update dynamically with new market data.
Disclaimer
This indicator is provided for educational and analytical purposes only. It does not constitute financial advice. Trading involves risk, and users are responsible for their own decisions.
SMC + VP Pro with POC Confluence [MR.M] V.2ยำรวมมิตร จาก AI เอาไปใช้กันนะครับ รวยแล้ว กดใจให้ด้วยนะครับ
MM ให้ดี ไม่มีเครื่องมือใดชนะ 100 % อย่าขาดทุนนะ 😂😂😂💕💕💕
นี่เป็นการเผยแพร่สคริป ครั้งแรก
SMC + VP Pro with POC Confluence + RSI Divergence
= Volume Profile (POC, VAH, VAL)
+ Smart Money Concepts (FVG, OTE, BOS, Liquidity)
+ POC Confluence Detection (12 zones)
+ RSI Divergence (Regular + Hidden)
+ Higher Timeframe Analysis
+ Trading Signals (Conservative mode)
+ Risk Management (Auto SL/TP)
+ Information Dashboard
→ All-in-One Professional Trading System
→ Win Rate: 70-90%
→ Suitable for: Conservative to Balanced traders
→ Best on: H1, H4 timeframes
ถ้ามันรก ก็ปรับเอาเองนะครับ
ถ้ามีที่ต้องปรับปรุง แจ้งด้วยนะครับ
V.2 ปรับปรุงเพียงเล็กน้อย คือ ปรับ✅ ควรเห็น VAH VAL Label เดียว (ราคาล่าสุด) จากที่ค้างไม่ลบอัตโนมัติ
Auto Session Fib (Daily / Weekly)Session-Anchored Fibonacci (RTH Only)
Automatically tracks the Regular Trading Hours session (09:30–16:00).
Fibonacci levels are built only from session high and low, not overnight noise.
Levels dynamically update throughout the session and anchor precisely at 09:30.
Session levels plotted:
High / Low
50% retracement
61.8%, 78.6%, 88.6% (bullish and bearish interpretations)
These levels are intended for intraday execution, not bias.
2️⃣ Previous Week Fibonacci (Market Context)
Displays previous week High, Low, and Fibonacci retracements.
Lines are confined strictly to the prior week (no overlap into the current week).
Levels are shown in a faint gray to distinguish context from execution.
Each key fib level includes descriptive labels, not just numbers:
61.8% → Golden Zone anchor
78.6% → Deep pullback / last defense
88.6% → Trend failure / trap zone
These are decision-framing levels, designed to help identify where trends either hold or fail.
3️⃣ Previous Day Extension Zones (Expansion Targets)
Calculates previous day range and projects:
+1.618 / +1.786
−1.618 / −1.786
Draws filled zones (no borders) between:
1.618 ↔ 1.786
−1.618 ↔ −1.786
Boxes extend only across the current RTH session.
These zones represent expansion / exhaustion areas, not reversal signals by themselves.
4️⃣ RSI Turn Signals (Clean, Non-Repainting)
Uses a standard RSI, with:
Adjustable length
Adjustable overbought / oversold levels
Optional independent RSI timeframe (can differ from chart TF)
Signals trigger only on a turn, not while RSI remains extreme:
Buy: RSI crosses up through oversold
Sell: RSI crosses down through overbought
This indicator is built to answer three questions:
Where am I relative to important structure?
Is price extended or mean-reverting?
Is there a confirmed momentum turn?
0DTE SPY/QQQ Precision Scalper [3m Enhanced V2 - FIXED LINES]0DTE SPY/QQQ scalper built for the **3-minute chart** with **15m trend bias** and **1m confirmation**.
Targets **1 strike OTM** entries using VWAP/EMA pullbacks, OR breakout, MACD momentum, and RVOL filters.
Uses ATR-based **stop/target**, optional **breakeven + trailing stop**, and **time stop ~30 min** for 0DTE.
Includes strict risk controls: trade limits, cooldown, skip chop windows, and consecutive-loss lockout.
CNE - Efficient Swing Structure + MomentumThe CNE Efficient Swing Structure and Momentum indicator is a sophisticated technical analysis tool designed to quantify the strength and exhaustion of price movements relative to genuine market structure rather than arbitrary time constraints. Unlike traditional oscillators that reset based on a fixed number of candles, this indicator anchors its calculations to confirmed structural pivots. The foundation of the system is a volatility-adaptive swing detection algorithm that utilizes the Average True Range (ATR) to filter out insignificant noise. A trend change is only registered when price retraces against the current direction by a user-defined multiple of the ATR, ensuring that the tool remains locked onto the prevailing trend until a statistically significant reversal occurs. This mechanism allows the trader to view momentum as a cumulative force continuously building from a verified low or high, providing a pure view of the current leg's intensity.
Once a structural anchor is established, the indicator calculates the "Pivot-to-Pivot" momentum, displaying the percent change from the start of the trend to the current price. This creates a zero-based oscillator where the zero line represents the structural origin—the absolute bottom of the current uptrend or the absolute top of the current downtrend. To contextualize this raw data, the script overlays dynamic statistical bands based on standard deviations. These bands function similarly to Bollinger Bands but are applied to the momentum of the swing itself. When the momentum histogram pushes into the outer deviation bands, specifically beyond two standard deviations, it signals that the current move is statistically overextended relative to the asset's recent volatility profile. This helps traders distinguish between a healthy, sustainable trend and a climactic move that is prone to a mean-reversion snapback.
A critical feature of this system is its ability to visualize the "average extension" of market moves, providing an immediate benchmark for trade management and target setting. The indicator plots two distinct sets of lines for both upward extensions and downward drawdowns without relying on heavy historical arrays, ensuring optimal computational efficiency. The first is a solid step-line representing the historical average of all past swings, serving as a long-term baseline for what constitutes a "normal" move. The second is a dotted marker representing a recency-weighted average, heavily biased toward the last five swings. By comparing these two lines, a trader can instantly gauge the changing market regime; if the recent weighted average is expanding away from the historical baseline, volatility is increasing, whereas a contracting recent average suggests the market is entering a period of compression.
Finally, the indicator integrates automated divergence detection based on structural flips rather than simple candle-to-candle comparisons. It records the peak momentum value of every completed trend leg and compares it to the peak of the previous leg in the same direction. If price makes a new structural high but the momentum oscillator fails to surpass the peak of the previous uptrend leg, a bearish divergence is flagged. Conversely, if price pushes to a new structural low with weaker downside momentum than the prior drop, a bullish divergence is highlighted. This combination of volatility-filtered structure, statistical deviation bands, efficiency-optimized extension targets, and structural divergence creates a comprehensive framework for assessing the probability of trend continuation versus reversal.
Strategy Battle: Lump Sum vs. DCA vs. Dip BuyingSummary This indicator is a "Strategy Battle" simulator designed to answer the ultimate investing question: Is it better to invest immediately, Dollar Cost Average (DCA), or wait for a market crash?
Unlike standard back-testers, this script simulates a realistic "High-Yield Savings" environment. It acknowledges that cash sitting on the sidelines is not dead money—it earns interest (e.g., 3-5%) while waiting for a buying opportunity. This levels the playing field and allows for a fair comparison between being fully invested vs. keeping "dry powder" for a crash.
The script compares 4 distinct strategies simultaneously on your chart, starting with a fresh yearly budget every January 1st.
he 4 Strategies
🔵 Option 1: Lump Sum (The "Set & Forget")
Takes the entire yearly budget and invests it all on the first trading day of the year.
Pros: Maximizes "time in the market."
Cons: vulnerable to buying at immediate peaks.
🟠 Option 2: DCA (The "Steady Earner")
Splits the yearly budget into 12 equal parts.
Invests monthly regardless of price.
The "Fairness" Twist: The money waiting to be spent sits in the cash pile and accumulates interest until it is deployed.
🟢 Option 3: Regression Sniper (The "Math Hunter")
Keeps the entire budget in cash (earning interest).
Watches a dynamic Linear Regression Channel.
Trigger: If the price drops below the channel, it goes "All-In," deploying all accumulated cash and interest immediately to buy the dip.
🔴 Option 4: Manual Sniper (The "Trend Hunter")
Keeps the entire budget in cash (earning interest).
Watches a User-Defined Growth Line (e.g., a straight line growing at 10% per year).
Trigger: If the price drops below this specific valuation line, it goes "All-In."
Detailed Settings & Options
💰 Money Settings
Yearly Budget ($): The amount of fresh capital injected into the simulation every January 1st.
Cash Interest Rate (%): The annual interest rate earned on uninvested cash (compounded monthly). This is crucial for accurately simulating the "opportunity cost" of holding cash.
⚙️ Sniper Settings (Option 3)
Channel Baseline Length: How far back the math looks to determine the "fair value" curve.
Vertical Shift (%): Move the buy zone up or down. Negative numbers (e.g., -5) make the strategy more conservative, waiting for deeper crashes.
Source: Defaults to Low to catch market wicks and intraday crashes.
📈 Manual Line Settings (Option 4)
Start Price ($): The valuation of the asset at the start of the simulation (Jan 1, Start Year).
Yearly Growth (%): The expected "fair" growth rate of the asset (e.g., S&P 500 average is ~10%).
Vertical Shift (%): Slide the manual line up or down to fine-tune your buy signal.
👁️ Visual Settings
Show Buy Price: Displays the exact dollar amount invested and the stock price at the moment of the buy on the chart labels.
Show Lump Sum Markers: Adds a Blue label at the start of every year to visualize the Lump Sum entry.
Show DCA Markers: Adds small Orange labels for every monthly buy.
SAT LevelsThis indicator shows the following:
HTF:
- Yearly Range (+ Previous Year) and its Eq Levels
- Quarterly Range (+ Previous Quarter) and its Eq Levels
- Monthly Range (+ Previous Month) and its Eq Levels
- Weekly Range (+ Previous Week) and its Eq Levels
Intraday Levels:
- Yesterday's Range (+ Day Before Yesterday 'DBY') and its Eq Levels
- Premarket Range (4am - 9.29am)
- 1min range (9.30 candle)
- 5min range (9.30-9.34)
- 15min range (9.30-9.44)
QQQ 2025 Bucket ATR (Price & Volume)Work on QQQ, 1-minute timeframe.
Restrict to the year 2025
Breaks the Trading Day into buckets:
9:30–10:30
10:30–11:30
11:30–12:30
12:30–13:30
13:30–14:30
14:30–15:30
15:30–16:00
For each bucket, across all 2025 trading days, compute:
Price ATR-style movement (true range for that bucket)
“ATR” on bucket volume (day-to-day change in total bucket volume)
Average total volume per bucket






















