Moving Average Divergence BandsThe Moving Average Divergence Bands are a new trend following tool designed for catching ALT coin trends quickly, while filtering away false signals.
The Benefits
- Very fast altcoin entries
- Highly consistent past returns (mainly CRYPTO:SOLUSD ), with both long & shorts profitable
- Lack of false signals due to Z-Score based filtering
- High tier of parameter robustness
The Idea
The idea is simple:
Get high speed & low noise bands that adapt to market conditions, allowing entries only during environments that have a potential reward and less risk. This unique filtering provides users with fast entries and low amount of false signals.
How it works
The indicator gets 2 Moving Averages, one normal, one with half the lookback.
It then combines them using powers and dividing and returns the higher result for the upper band, and the lower for the lower band.
Then it calculates the Z-Score of the source and if both the absolute Z-Score & Long/Short condition are true then it switches the trend.
Enjoy Gs!
Indicatori e strategie
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.
5 Layer Script P3 Signals Package Signals,Upgrades ,TargetsThis script is a confirmation-based signals framework designed to highlight high-probability moments of intent, not predictive entries. It is built to work in alignment with higher-timeframe context, particularly midpoint equilibrium, structure, and session behavior. The framework has 5 conditions and if you look closes it includes the number out of 5 of the conditions met. This can be adjusted in the settings.
The Signals Package focuses on identifying reaction based confirmations after price reaches key areas such as equilibrium/ midpoint levels, prior range boundaries, or structural zones. Signals are only generated once conditions are met
How it works
- Signals are derived from price interaction, not indicators stacked on indicators
- Conditions require confirmation, not anticipation
- Signals appear only after a valid reaction or shift in behavior is detected
- No repainting once a signal is printed
Theres an additional tool that youll see , when you first use it you will see lines, just fix in setting and enable dots. These are youre price targets that tends to fil either next candle or down the road depending on timeframe and market structure.
How to use it
-Use signals after price reaches a higher-timeframe level (midpoint, range high/low, or liquidity area)
-Treat signals as execution confirmation, not bias
-Best used on lower timeframes while respecting 4H / Daily / Weekly context
-Signals can be used for:
-Entry confirmation
-Partial entries
-Scaling or risk management decisions
EXTRAS
This is not just a buy and sell signal. This is confirmation tool and not every trade is 100% that should be obvious.
You'll tend to see some signals that will show that they have bee upgraded automatically because more conditions were meant. Dont be careless and have fun.
4 Bar Sequential Counter (9 to 13) [DotGain]4-Bar Sequential Counter (Seq4)
This indicator identifies potential trend exhaustion phases using a strict sequential count
based on the relationship between the current closing price and the closing price four bars earlier.
How it works
• A bullish sequence is counted as long as the current close remains below the close from 4 bars ago.
• A bearish sequence is counted as long as the current close remains above the close from 4 bars ago.
• The count resets immediately if the respective condition is no longer met.
• The sequence counts up to a maximum of 13 , after which it resets and a new sequence may begin.
Visualization
• Only counts from 9 to 13 are displayed on the chart.
• Bullish sequences are plotted below price bars.
• Bearish sequences are plotted above price bars.
• The minimalist design keeps the chart clean and focused on potentially relevant exhaustion zones.
Interpretation
• A count of 9 may indicate an early sign of market overextension.
• A count of 13 represents a more advanced sequence and a higher probability
of consolidation or corrective price action.
• This indicator is not a standalone trading system and should be used in combination
with trend analysis, volume, and support/resistance levels.
Alerts
• Bullish sequence at 9
• Bullish sequence at 13
• Bearish sequence at 9
• Bearish sequence at 13
Disclaimer
This "4-Bar Sequential Counter (9–13)" (Seq4) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
This indicator is an independent implementation of a sequential counting method and is not affiliated with, or endorsed by any trademarked trading concepts or methodologies.
The signals generated by this tool (Green and Red) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset.
All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital.
Past performance does not guarantee future results.
This indicator highlights sequential price exhaustion patterns and may generate false, lagging, or incomplete signals. Markets can remain unpredictable longer than you can remain solvent.
The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
5-Layer Script Strategy P1 Midpoint Package (4H / D / W) This script is a multi timeframe framework that utilizes the 4H, Daily, and the Weekly timeframes. This Indicator automatically tracks the midpoints averages of those candles of the mentioned timeframes . This allows traders to actively see the markets momentum and opportunities for when the market reverses. These points acts as reaction levels and NOT ENTRY SIGNALS. This is a identity that helps identify direction and works with the other 4 Layers.
HOW IT WORKS
-Higher timeframe ranges are calculated using midpoints
-Midpoints persist until the candle closes
-No repainting either.
HOW TO USE THIS STRATEGY
-Start from the higher timeframe and work your way to the smaller ones
-Look for reactions and rejections rather than blind entries.
Weekly = bias is a swing
Daily = session to session directional bias
4HR = intraday framework to locate entries
WARNING
Not everyone uses the same settings therefore its natural to have multiple pieces, look through them and fix it to meet your expectations if need to.
RSI & BB Oversold Scalper with MACD Confirmation [DotGain]RSI & BB Oversold Scalper with MACD Confirmation
The RSI & BB Oversold Scalper is a mean reversion / dip-buying indicator designed for traders who want to combine oversold conditions with momentum confirmation .
It uses a multi-step logic: first detect an oversold setup, then wait for a MACD confirmation within a defined time window before issuing a buy signal.
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Core Concept
1. Detect an oversold setup using Bollinger Bands %b, RSI and an optional DSS filter
2. Keep the setup active for a limited number of candles
3. Trigger the entry using a MACD bullish crossover
4. Reset after entry to avoid multiple signals from the same setup
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Buy Signal Logic
A buy signal is generated when the following conditions are met:
1. Oversold Setup (filters can be enabled/disabled individually)
• Bollinger Bands %b Oversold (Lookback-based)
The price has traded below the lower Bollinger Band at least once within the last `lookbackBB` candles.
• RSI Oversold (Lookback-based)
The RSI has dropped below 30 at least once within the last `lookbackRSI` candles.
• DSS (Double Smoothed Stochastic) Reversal Filter
A bullish crossover of the DSS line above its signal line while the DSS value is below 20 , indicating a potential momentum reversal from oversold conditions.
Note:
BB %b and RSI are lookback filters , while the DSS condition is a single-bar crossover event .
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2. MACD Confirmation (Entry Timing)
After the setup becomes active, the indicator waits for a bullish MACD crossover (`MACD line crosses above Signal line`) within a user-defined time window (`validWindow` candles).
If the MACD confirmation occurs within this window, a buy signal is printed.
If the window expires without confirmation, the setup is discarded automatically.
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Reset Logic
• After a buy signal, the setup is reset immediately
• Only one signal is allowed per setup
• No late entries after the time window expires
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Inputs & Customization
• Enable or disable BB, RSI and DSS filters individually
• Adjust lookback periods to control how recent oversold conditions must be
• Tune the MACD confirmation window to balance early vs. conservative entries
Smaller windows = faster, more aggressive entries
Larger windows = fewer but more confirmed signals
Recommended Markets & Timeframes
• Cryptocurrencies, Forex, Indices, liquid stocks
• Best suited for 1m – 15m scalping
• Also usable on 15m – 1h for slower mean-reversion trades
Visuals
• Buy signals are displayed as labels below the price candles
Important Notes
• This indicator is a signal and timing tool , not a complete trading system
• Always combine with higher-timeframe trend, support/resistance or volume analysis
• Backtesting and paper trading are strongly recommended
Disclaimer:
This "RSI & BB Oversold Scalper with MACD Confirmation" (Oversold Scalper) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signal generated by this tool (Green) is the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. The indicator's purpose is to highlight possible weakness in the markets, not to provide infallible trade signals.
All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. Even an indicator designed to filter out "chop" may produce false, lagging, or losing signals. Markets can remain unpredictable longer than you can remain solvent.
The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
Chart Wolf WLR Toolkit (VWAP + PDH/PDL + Kill Zone)Overview
This indicator is a single, unified trading framework that combines context → levels → confirmation → execution into one workflow. It is not a “mashup” of unrelated indicators — each component feeds the next step of the decision process so you can make the same type of decision every day with less chart clutter.
What makes it original
Most indicators independently display signals (trend, sessions, levels, etc.). This script is original in that it links components into a structured sequence:
Context (where and when): identifies market session/time context and key reference zones.
Key Levels (what matters): plots specific levels that price reacts to (e.g., previous day levels, value area levels, VWAP / anchors, etc.).
Confirmation (why now): requires price behavior to confirm acceptance/rejection around those levels instead of firing signals randomly.
Execution (how to trade it): provides clear entry/exit visualization and risk reference points once confirmation conditions are met.
How it works (conceptual logic)
The script follows a simple cause-and-effect model:
Reference levels define “decision areas” (places where liquidity and reactions commonly happen).
Price interacting with a decision area triggers state tracking (e.g., approaching level → testing level → rejection/acceptance).
A signal only appears when a complete sequence occurs (example: sweep/test → rejection/acceptance confirmation → continuation cue).
Optional filters (session, volatility, trend bias, etc.) reduce low-quality signals by requiring trades to occur in the intended conditions.
How to use it (step-by-step)
Choose your market & timeframe
Recommended: use a higher timeframe for context, lower timeframe for entries.
Example workflow: 15m for context + 5m/1m for execution.
Mark the decision areas
Use the plotted levels as “zones of interest.”
Your job is to wait for price to interact with these zones.
Wait for confirmation
Only take signals that occur at or near decision areas.
If price is chopping in the middle (between key levels), avoid trading.
Execute with defined risk
Stops should be placed beyond the rejection/sweep point or beyond the decision zone (depending on your strategy).
Targets can be the next major level plotted by the script.
Settings (what to adjust)
Session filter: turn on if you only trade specific hours (e.g., NY open).
Level visibility: hide levels you don’t use to reduce clutter.
Signal strictness: increase strictness to reduce frequency and improve quality; decrease for more signals.
Alerts: enable alerts for confirmed signals only (recommended).
Best practices
This tool performs best when you treat signals as confirmation, not “auto-trades.”
Always prioritize trades that occur at major levels during high-liquidity hours.
Backtest your market/timeframe combo before using it live.
Notes / limitations
Like all indicators, it does not predict the future; it organizes decision-making around recurring market behaviors.
Signals can appear during news volatility; consider disabling trading during major scheduled events.
Multiple indicator for futures in scalping"Multiple indicator with:
EMA 8, 20, 50, 100, 200
Bollinger Bands
Daily, weekly, and monthly OHLC
Fibonacci pivot points R1R2R3/S1S2S3
VWAP
It works very well for futures, to see where to enter and exit, and to get positioned. I mostly use it on the Nasdaq and DAX, where the price constantly bounces in the areas marked by this indicator. It’s only for scalping, ideal on a 1-minute chart."
COT Report Indicator - V2Hi this is the updated script for COT Report Indicator
Thanks for @Trading_Nerd
Now it's using v6 instead of v5.
It has debug info for showing the symbol
It includes BTC/ETH for CME, but you need to choose the symbol BTC or ETH from CME and use the W timeframe at least.
Adaptive Kinetic Trend [AKT] Pure MathTitolo: Adaptive Kinetic Trend - Pure Math
Descrizione:
Overview The Adaptive Kinetic Trend is a custom-built trend following system designed to filter noise and adapt to changing market volatility. Unlike standard indicators that rely on a static calculation, the AKT introduces a "Kinetic" component that adjusts the trend baseline according to price velocity (Momentum) and market intensity (ADX).
The "Pure Math" Implementation To ensure maximum stability and prevent potential discrepancies associated with data gaps or library updates, this script features a 100% manual mathematical library. It does not use TradingView's native ta.* functions for its core logic. Every calculation—including Wilder's Smoothing (RMA), Weighted Moving Averages (WMA), and True Range (TR)—is computed explicitly within the code from raw price data. This provides a transparent look at how the signals are derived.
Key Features
1. Kinetic Center Line The backbone of the indicator is an adaptive moving average that shifts its sensitivity based on a manually calculated RSI (Velocity).
High Velocity: The line reacts faster to capture breakout momentum.
Low Velocity: The line smooths out to prevent whipsaws during corrections.
2. Dynamic Volatility Expansion Using a custom ADX calculation (Intensity), the bands automatically expand during high-volatility events. This helps keep positions open during strong trends where standard ATR stops might be triggered prematurely.
3. Visual Filters (Color Logic) The script uses a strict color-coding system to guide analysis:
🟢 Green / 🔴 Red (Trend): The market is in a validated trend phase with sufficient intensity.
⚪ Gray (Choppy Filter): When Intensity falls below the threshold (default 20), the bars turn gray and signals are suppressed. This filters out low-probability ranging markets.
🟡 Yellow (Proximity Zone): When price trades within 0.5 ATR of the trend line, bars turn yellow. This indicates price is testing the trend structure.
4. Smart Pullback Signals (PB) Small triangles labeled "PB" appear when the price retraces to test the trend line.
Visual Intensity: The signals feature adaptive transparency. They appear bright during strong trends (High Probability) and faded/transparent during choppy conditions (Lower Probability), helping users filter signal quality visually.
5. Live Dashboard A data panel provides real-time metrics:
Trend Status: BULL, BEAR, or RANGE.
Intensity: Raw ADX value to gauge trend strength.
Dist ATR: The precise distance from the close price to the stop-loss line, measured in ATR multiples.
How to Use
Trend Analysis: Identify the main direction via Green/Red candles.
Filtering: Use the Gray bars to identify periods of low volatility/consolidation where trend strategies typically fail.
Re-entries: Use PB triangles to identify potential continuation points within an existing trend.
Risk Monitoring: Use Yellow bars (Proximity) to monitor price action near the invalidation level.
Disclaimer This script is intended for technical analysis and educational purposes only. It provides a visual representation of market trends based on historical data and does not guarantee future performance.
GK V2 Zero-Lag trend Ribbon GK Zero-Lag Trend Ribbon V2 is the same as version 1 but with a trend ribbon to help identify the trend. Designed to help keep traders aligned with clean market direction, it uses a Zero-Lag EMA based trend ribbon with adaptive volatility bands to clearly identify bullish and bearish trends wile filtering out noise with signal prints. The ribbon dynamically changes colour to show trend bias, and GK BUY / GK SELL only print on confirmed trend flip- one clean signal per trend no clutter
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
Pulse Volume Commitment [JOAT]
Pulse Volume Commitment - Three-Dimensional Momentum Analysis
Introduction and Purpose
Pulse Volume Commitment is an open-source oscillator indicator that analyzes price action through three distinct dimensions: Quantity (candle count), Quality (body structure), and Commitment (volume-weighted quality). The core problem this indicator solves is that simple bullish/bearish candle counts miss important context. A market can have more green candles but still be weak if those candles have small bodies and low volume.
This indicator addresses that by requiring all three dimensions to align before generating strong signals, filtering out weak moves that lack conviction.
Why These Three Dimensions Work Together
Each dimension measures a different aspect of market conviction:
1. Quantity - Counts bullish vs bearish candles over the lookback period. Tells you WHO is winning the candle count battle.
2. Quality - Scores candles by body size relative to total range. Full-bodied candles (small wicks) indicate stronger conviction than doji-like candles. Tells you HOW decisively price is moving.
3. Commitment - Weights quality scores by volume. High-quality candles on high volume indicate institutional participation. Tells you WHETHER smart money is involved.
When all three align (e.g., more bullish candles + bullish quality + bullish commitment), the signal is significantly more reliable.
How the Calculations Work
Quantity Analysis:
int greenCount = 0
int redCount = 0
for i = 0 to lookbackPeriod - 1
if close > open
greenCount += 1
if close < open
redCount += 1
bool quantityBull = greenCount > redCount
Quality Analysis (body-to-range scoring):
for i = 0 to lookbackPeriod - 1
float candleBody = close - open // Signed (positive = bull)
float candleRange = high - low
float bodyQuality = candleRange > 0 ? (candleBody / candleRange * 100) * candleRange : 0.0
sumBodyQuality += bodyQuality
bool qualityBull = sumBodyQuality > 0
Signal Types
FULL BULL - All three dimensions bullish (Quantity + Quality + Commitment)
FULL BEAR - All three dimensions bearish
LEAN BULL/BEAR - 2 of 3 dimensions agree
MIXED - No clear consensus
STRONG BUY/SELL - Full confluence + ADX confirms trending market
ADX Integration
The indicator includes ADX (Average Directional Index) to filter signals:
- ADX >= 20 = TRENDING market (signals more reliable)
- ADX < 20 = RANGING market (signals may whipsaw)
Strong signals only trigger when full confluence occurs in a trending environment.
Dashboard Information
Quantity - BULL/BEAR/FLAT with green/red candle ratio
Quality - Directional bias based on body quality scoring
Commit - Volume-weighted commitment reading
ADX - Trend strength (TRENDING/RANGING)
Signal - Confluence status (FULL BULL/FULL BEAR/LEAN/MIXED)
Action - STRONG BUY/STRONG SELL/WAIT
How to Use This Indicator
For High-Conviction Entries:
1. Wait for FULL BULL or FULL BEAR confluence
2. Confirm ADX shows TRENDING
3. Enter when Action shows STRONG BUY or STRONG SELL
For Filtering Weak Setups:
1. Avoid entries when signal shows MIXED
2. Be cautious when ADX shows RANGING
3. Require at least 2 of 3 dimensions to agree
For Divergence Analysis:
1. Watch for Quantity bullish but Commitment bearish (distribution)
2. Watch for Quantity bearish but Commitment bullish (accumulation)
Input Parameters
Lookback Period (9) - Bars to analyze for all three dimensions
ADX Smoothing (14) - Period for ADX calculation
ADX DI Length (14) - Period for directional indicators
Timeframe Recommendations
15m-1H: Good for intraday momentum analysis
4H-Daily: Best for swing trading confluence
Lookback period may need adjustment for different timeframes
Limitations
Lookback period affects signal responsiveness vs reliability tradeoff
Volume data quality varies by exchange
ADX filter may cause missed entries in early trends
Works best on liquid instruments with consistent volume
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Confluence signals do not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
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.
The Setup Factory - Swing Data TSF - Swing data
Useful intraday updated data for swing traders
Interpretation and summary:
1. 20D Avg $ Vol: The average daily dollar volume (Price × Volume) over the last 20 trading days.
2. Live $ Vol: The total dollar volume accumulated during the current daily bar so far.
3. Relative Vol %: Today's volume progress compared to the average amount of volume typically accumulated by this exact minute over the last 20 days.
4. Projected Vol %: A prediction of the final daily volume total, calculated by applying today's current rate of outperformance (Buzz) to the full-day average.
5. Continuous Volume Buzz: The percentage difference between today's current volume and the historical average for this specific time window (e.g., how far "ahead of schedule" the stock is).
6. Volume Pace (15m): A comparison of the last 15 minutes of volume against the average 15-minute speed of the day so far (excluding the opening 15-minute surge).
7. Daily ATR %: The 14-day average daily price range (volatility) expressed as a percentage of the current stock price.
8. Dist. Today Low: The percentage distance between the current price and today’s lowest point.
9. Dist. Prior Low: The percentage distance between the current price and yesterday’s lowest point.
Predictive ZLEMA NavigatorThis is an advanced trend-following indicator that combines Zero-Lag Exponential Moving Averages (ZLEMA) with predictive crossover analysis to identify high-probability trade entries with exceptional timing precision.
Key Features:
1. Zero-Lag Technology
Utilizes ZLEMA calculation to eliminate the inherent lag found in traditional EMAs
Provides faster response to price movements while maintaining smooth trend identification
Default periods (34/89) align with Fibonacci sequence for natural market rhythm detection
2. Predictive Crossover System
Unique algorithm forecasts upcoming Golden Cross and Death Cross events before they occur
Displays estimated bars until next crossover, giving traders advance preparation time
Helps avoid late entries by signaling trend changes up to 200 bars in advance
3. Visual Direction Arrows
Color-coded projection arrows show the momentum trajectory of both fast and slow ZLEMAs
Adjustable projection length allows customization for different trading timeframes
Instantly identifies whether trends are strengthening or weakening
4. Multi-Layer Signal Confirmation
Clear crossover points marked with circles and confirmation ticks
Dynamic fill coloring between MAs for instant trend bias recognition
Bullish signals (green/blue) and bearish signals (orange/red) prevent confusion
Performance Characteristics:
Strengths:
Reduced Whipsaws: ZLEMA's lag reduction minimizes false signals in ranging markets
Early Detection: Predictive algorithm provides 10-50 bar advance warning of trend changes
Versatile Application: Works across all timeframes (1-minute to daily) and asset classes
Visual Clarity: Clean interface prevents information overload while maintaining comprehensive data
Optimal Use Cases:
Swing trading on 4H-Daily timeframes
Trend confirmation for breakout strategies
Portfolio rotation timing based on momentum shifts
Works exceptionally well on trending assets (crypto, indices, trending stocks)
Trading Approach:
Enter long on Golden Cross confirmation with upward direction arrows
Exit or reverse on Death Cross with downward momentum projection
Use prediction labels to scale into positions before actual crossover
Combine with volume analysis for enhanced confirmation
Built-in Alert System: Automated notifications for both bullish and bearish crossovers ensure you never miss a trading opportunity.
This indicator bridges the gap between reactive and predictive trading, giving you the speed of ZLEMA with the foresight of trend projection analysis.
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice.Happy Trading
Current & Prior Day OHLC Levels# Current & Prior Day OHLC Levels with 15-Minute Opening Range
## Overview
This comprehensive indicator plots key price levels for futures and stock traders, displaying Current Day levels, Prior Day levels, and the 15-Minute Opening Range. These levels serve as critical support and resistance zones that professional traders monitor throughout the trading session.
## Key Features
### Current Day Levels (Session-Based)
- **Current Open**: The opening price of the current trading session
- **Current High**: The highest price reached during the current session (updates in real-time)
- **Current Low**: The lowest price reached during the current session (updates in real-time)
The indicator properly recognizes **futures trading sessions**, which begin at their respective session start times (not midnight). For example, most equity index futures sessions begin at 6:00 PM ET the previous day, ensuring accurate session-based tracking for overnight and globex trading.
### Prior Day Levels
- **Prior Open**: Opening price from the previous trading session
- **Prior High**: High of the previous trading session
- **Prior Low**: Low of the previous trading session
- **Prior Close**: Closing price from the previous trading session
Prior day levels are some of the most widely watched technical levels in trading, often acting as psychological support and resistance zones where price action tends to react.
### 15-Minute Opening Range (NY Session)
- **OR High**: The high of the first 15 minutes after New York market open (9:30-9:45 AM ET)
- **OR Low**: The low of the first 15 minutes after New York market open (9:30-9:45 AM ET)
The opening range concept is a popular day trading strategy. The first 15 minutes often establishes the tone for the day, with these levels frequently serving as breakout or breakdown points. The indicator tracks these levels in real-time as they form, then locks them in after 9:45 AM ET.
## Visual Design
### Smart Line Extension
- Lines extend **left** to the exact bar that created each level (e.g., the bar that made the high)
- Lines extend **right** by a configurable number of bars (default: 50 bars)
- No infinite line extension cluttering your chart
### Intelligent Label Placement
- Labels positioned **above** highs and opens
- Labels positioned **below** lows
- Adjustable offset to position labels optimally for your timeframe
- Optional price display in labels (e.g., "Current High: 5,950.00")
- Semi-transparent label backgrounds for clean chart appearance
## Customization Options
### Individual Level Controls
Each level (Current Open, High, Low, Prior Open, High, Low, Close, OR High, OR Low) can be:
- Toggled on/off independently
- Assigned a custom color
- Given its own line style (Solid, Dashed, or Dotted)
- Adjusted for line width (1-5 pixels)
### Default Styling
- **Current Day**: Solid lines (Gold for Open, Green for High, Red for Low)
- **Prior Day**: Dashed lines (Steel Blue for Open, Dark Cyan for High, Crimson for Low, Slate Blue for Close)
- **Opening Range**: Dotted lines (Cyan for High, Tomato for Low)
This default styling provides clear visual distinction between level types while remaining professional and easy to read.
### Label Customization
- Toggle all labels on/off
- Show or hide price values in labels
- Adjust label offset (distance from current bar)
- Five label size options: Tiny, Small, Normal, Large, Huge
### Line Extension Control
- Configurable right extension (0-500 bars)
- Adjust based on your chart timeframe and preference
## Best Use Cases
### Futures Traders
The indicator's session-aware design makes it perfect for futures markets, properly handling:
- Electronic trading hours (Globex)
- Session rollovers at 5:00 PM or 6:00 PM ET (depending on contract)
- Overnight price action
### Day Traders
- Use Opening Range levels for breakout/breakdown strategies
- Monitor Current High/Low for intraday trend identification
- Watch Prior Day levels for profit targets and stop placement
### Swing Traders
- Prior Day High/Low often act as key decision points
- Prior Close serves as an important reference level
- Current Day levels help with intraday entry/exit timing
### Multi-Timeframe Analysis
Works on any intraday timeframe:
- 1-minute for scalping
- 5-minute for active day trading
- 15-minute or 30-minute for swing entries
- 1-hour for position context
## Technical Details
### Session Detection
- Uses TradingView's built-in session detection for accurate daily boundaries
- Properly handles futures contracts with non-midnight session starts
- New York timezone detection for Opening Range (9:30 AM ET)
### Real-Time Updates
- Current High and Low update dynamically as price moves
- Opening Range levels update live during the 9:30-9:45 AM window
- Lines redraw on each bar to maintain accurate positioning
### Performance
- Maximum 500 lines and 500 labels to ensure smooth chart performance
- Efficient line/label deletion and recreation on session changes
- Minimal computational overhead
## Tips for Optimal Use
1. **Adjust Line Extension**: For lower timeframes (1-min, 5-min), reduce right extension to 20-30 bars. For higher timeframes (1-hour), increase to 100+ bars.
2. **Combine with Price Action**: These levels work best when combined with candlestick patterns, volume analysis, and order flow.
3. **Watch for Level Tests**: Price often tests these levels multiple times before breaking through or reversing.
4. **Opening Range Breakouts**: Many traders wait for price to break and close above OR High or below OR Low before entering directional trades.
5. **Prior Day Levels as Targets**: Use Prior High as an upside target and Prior Low as a downside target for intraday trades.
## Compatibility
- Works on all instruments (Futures, Stocks, Forex, Crypto)
- Optimized for intraday timeframes (1-min to 1-hour)
- Best results on liquid instruments with clear session boundaries
- Designed specifically with ES, NQ, YM, and RTY futures traders in mind
## Credits
Ported from NinjaTrader indicators with enhanced features and TradingView-specific optimizations. Original concept based on classic technical analysis principles used by professional traders worldwide.
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*Note: These levels are for informational and educational purposes only. Past performance does not guarantee future results. Always practice proper risk management.*
Multi-Filter Slope Master Pro CareCAdvanced EMA Slope Analyzer with Smart Filters
Key Features:
🔍 Core Analysis
Tracks slopes of 3 EMAs (9, 20, 50)
Multiple slope calculation methods
Requires price + slope confirmation for signals
🛡️ Smart Filters
Multi-timeframe trend confirmation
Volume-based signal weighting
Trading session restriction
📊 Visual Dashboard
Interactive data tables (multiple layouts)
Real-time trend strength histogram
Color-coded signal markers
Customizable themes & positions
📈 Output
Individual EMA signals (Bullish/Bearish/Neutral)
Combined trend strength score
Overall market bias indicator
Chart alerts for signal changes
Purpose: Identify high-probability trend movements by filtering out noise through multiple confirmation layers.
OBV Apex: Donchian-Bollinger Dual Resonance (DBDR)以下是为您定制的 **OBV Apex: DBDR (Donchian-Bollinger Dual Resonance)** 指标双语简介。
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## 指标简介 / Indicator Overview
**OBV Apex: Donchian-Bollinger Dual Resonance (DBDR)** 是一款专为捕捉高概率趋势反转和波动率爆发而设计的尖端量价指标。它打破了传统指标单一维度的局限,将基于绝对价格区间的**唐奇安通道逻辑**与基于统计学概率分布的**布林带动能逻辑**深度融合,旨在为交易者提供“跨维度共振”的决策依据。
**OBV Apex: Donchian-Bollinger Dual Resonance (DBDR)** is a cutting-edge volume-price indicator designed to capture high-probability trend reversals and volatility breakouts. It breaks the limitations of single-dimensional indicators by integrating **Donchian Channel logic** (based on absolute price ranges) with **Bollinger Band momentum logic** (based on statistical probability distribution), providing traders with a "cross-dimensional resonance" framework for decision-making.
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## 核心功能与视觉识别 / Key Features & Visual Identification
### **1. 智能变色主线 / Intelligent Multi-Color Main Line**
指标 OBV 主线根据当前动能状态实时切换颜色。
* **白色 (极端区)**:当 OBV 触碰或刺破唐奇安通道轨道时变为白色,提示动能进入超买或超卖的极端区域。
* **绿色/红色 (趋势区)**:代表 OBV 突破了中轨缓冲区,确认了当前的上涨或下跌趋势。
* **黄色 (噪音区)**:OBV 处于缓冲区内部,提示市场处于震荡或无方向阶段。
The main OBV line switches colors in real-time based on momentum states.
* **White (Extreme)**: Turns white when OBV touches or pierces Donchian boundaries, signaling extreme overbought/oversold momentum.
* **Green/Red (Trend)**: Indicates OBV has broken out of the mid-rail buffer, confirming an uptrend or downtrend.
* **Yellow (Noise)**: OBV stays within the buffer zone, suggesting a sideways or directionless market.
### **2. 波动率挤压背景 / Volatility Squeeze Background**
当唐奇安通道大幅收窄,代表市场进入蓄力阶段。此时离散区域(Dispersion Area)会变为**深紫色**,这是即将发生大级别变盘的重要视觉信号。
When the Donchian Channel narrows significantly, it represents a market accumulation phase. The Dispersion Area turns **Deep Purple**, providing a crucial visual signal for an impending major volatility breakout.
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## 详细用法说明 / Detailed Usage Instructions
### **1. 逻辑共振星号 (⭐) 的实战意义 / Strategic Meaning of the Resonance Star (⭐)**
这是本指标最具价值的核心信号。
* **基础信号 (R/H)**:当唐奇安系统检测到结构性背离时产生。
* **共振信号 (⭐)**:仅当后台隐藏的布林带算法也同时检测到逻辑背离时,信号后才会附带 ⭐。
* **用法**:普通 R 信号仅代表价格结构的衰竭,而 **R⭐** 则代表空间结构与波动率动能的**双重衰竭**。在实战中,带有星号的信号具有极高的反转成功率,是摸顶抄底的核心参考。
This is the most valuable core signal of the indicator.
* **Basic Signals (R/H)**: Generated when the Donchian system detects structural divergence.
* **Resonance Signal (⭐)**: A star is appended only when the hidden Bollinger Band algorithm also detects logical divergence simultaneously.
* **Usage**: A standard R signal represents structural exhaustion, while **R⭐** signifies **dual exhaustion** of both space structure and volatility momentum. In practice, signals with stars offer significantly higher reversal success rates.
### **2. 顶点爆发策略 (突破交易) / The Apex Explosion Strategy (Breakout)**
* **观察**:寻找背景出现持续**深紫色**填充的区域(挤压期)。
* **入场**:当 OBV 主线由黄转绿(多头突破)或由黄转红(空头突破)并脱离紫色区域时,是爆发性行情的起始点。
* **Observation**: Look for areas with continuous **Deep Purple** background filling (Squeeze phase).
* **Entry**: When the OBV line shifts from yellow to green (Bullish breakout) or red (Bearish breakout) and exits the purple zone, it marks the start of an explosive trend.
### **3. 双重共振反转策略 (反转交易) / Double Resonance Reversal Strategy**
* **确认条件**:OBV 主线变为**白色**进入极端区,随后出现带有 **⭐** 的背离标签。
* **辅助确认**:观察 KDJ 标签。如果共振星号出现后,KDJ 产生顺势的大写 **B (Buy)** 或 **S (Sell)** 标签,则反转的确定性进一步增强。
* **Confirmation**: The OBV line turns **White** (Extreme zone), followed by a divergence label with a **⭐**.
* **Secondary Confirmation**: Monitor KDJ labels. If an uppercase **B (Buy)** or **S (Sell)** appears after the resonance star, the certainty of the reversal is further enhanced.
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## 下一步建议 / Next Step
您现在可以根据此简介进行实盘复盘。如果您需要我将**警报逻辑 (Alerts)** 进一步细化,例如针对“带星号的背离”设置专门的推送提醒,请随时告诉我。
You can now use this overview for backtesting. If you need me to further refine the **Alert logic**, such as setting specific push notifications for "Divergence with Star," please let me know.
Dual VWAP + Dual ATR % BandsScript is adjusted for 5min time frame, can play around setting to adjust accordingly.
It has
Vwap regular
Vwap with adjustable time period
Bands based on ATR value, ie (if ATR is 10, one can adjust band to VWap+ATR %( adjustable)
ATR% can be adjusted to include daily ATR values in addition to current day ATR based on chart time frame.
The bands can be tied to regular VWAP or period VWAP
Regards
RSI adaptive zones with divergencesThis script is modified version of Adaptive RSI,
Thanks to creator of the script, modification is made by cloude code.
Adaptive RSIThe Adaptive RSI is a new version of the famous RSI that can adapt to environments and produce both Mean Reverting & Trend Following signals.
The Benefits
- Adaptive behaviour can allow fast entries while also filtering false signals
- Provides signals for both catching high/low value zones and trends
- Very good trend catching in trending environments
- Visualization provides Overbought/Oversold signal highlighting of more restrictive (diamonds) and less restrictive type (background), divergence between smoothed and basic RSI, Adaptive RSI values and bar coloring.
- Works well on BINANCE:BNBUSD
The Idea
The main idea is to give the RSI a more adaptive approach to do the market, so it can speed it up during potential oppurtunities and slow down during more dangerous environments.
This would theoreticly allow it to be a lot more versatile and provide a more accurate set of signals. On top of that, the adaptive approach could not only provide great entries but also exits when following the indicator mean-reverting style.
How it works
The indicator sets up 3 conditions, the more of them are true, the more aggressive approach will be chosen. This allows the indicator to shift speed, adapt to any environment and avoid too many false signals.
Then it uses a smoothing to improve accuracy, that is adaptive in the same way as the RSI itself.
It also has a option for a special ROC-weighted source, which however I do not recommend using unless you understand coding & know how it works.
Hope you enjoy Gs!
Please keep in mind no indicator is perfect and that every indicator has flaws






















