Advanced Predictive Market Intelligence📊 Advanced Predictive Market Intelligence - Professional Trading System
🎯 Overview
Advanced Predictive Market Intelligence is an institutional-grade, all-in-one trading indicator that combines trend analysis, predictive forecasting, momentum signals, and risk management into a single, comprehensive visual system. Designed from the ground up by thinking like a senior market architect and financial analyst, this indicator transforms complex market data into actionable intelligence.
Unlike basic indicators that only show historical data, this system predicts future price movements with confidence bands, validates signals through multiple confirmations, and provides real-time risk management metrics—all while maintaining crystal-clear visuals that don't clutter your chart.
✨ Key Features
🔮 Predictive Forecasting Engine
Linear regression-based price predictions with customizable forecast horizons
Confidence bands showing probability zones for predicted prices
Correlation strength analysis to validate prediction reliability
Visual prediction zones with color-coded boxes showing bullish/bearish targets
Slope momentum indicators showing trend acceleration/deceleration
📈 Multi-Layered Trend Analysis
Triple EMA system (fast, slow, trend filter) with dynamic color coding
Trend strength score (0-100%) quantifying market direction
Bollinger Bands for volatility context
Dynamic background coloring for instant trend recognition
Support & Resistance detection with automatic pivot points
🎯 Smart Signal System
Strong Signals: Require 5+ confirmations (EMA cross + slope + trend filter + RSI + volume)
Moderate Signals: Basic trend reversals for early positioning
Signal quality percentage displayed on each alert
Volume confirmation to filter false breakouts
Visual differentiation between high and low probability setups
💹 Momentum & Market Health
RSI (Relative Strength Index) with overbought/oversold levels
MACD histogram for momentum divergence
Volume ratio analysis showing institutional participation
High-volume breakout detection with fire emoji indicators
ATR (Average True Range) for volatility measurement
🛡️ Risk Management Suite
ATR-based stop-loss calculations (2x ATR from entry)
Dynamic take-profit targets based on predictions and volatility
Risk/Reward ratios calculated in real-time
Position size suggestions based on volatility
Market bias indicator (bullish/bearish) for overall direction
📊 Professional Dashboard
A comprehensive 11-metric control panel displaying:
Trend Strength (0-100% score)
Forecast percentage change
RSI value with color-coded warnings
Volume status (High 🔥 / Normal / Low ❄️)
ATR volatility measurement
Correlation strength (Strong/Moderate/Weak)
Momentum direction (📈 Bullish / 📉 Bearish)
Target price projection
Suggested stop-loss level
Risk/Reward ratio
Market bias (🐂 Bullish / 🐻 Bearish)
🚀 How to Use
For Day Traders:
Focus on Strong Buy/Sell signals with quality scores >70%
Check Volume Status for institutional confirmation
Use ATR-based stop losses for tight risk management
Monitor the Trend Strength score - trade only when >60% or <40%
For Swing Traders:
Look for signals aligned with the Trend Filter EMA (50-period)
Use the Forecast Target for position targets
Check Confidence Bands for realistic price ranges
Monitor Support/Resistance zones for entry/exit points
For Position Traders:
Focus on Market Bias indicator for overall direction
Use Bollinger Bands to identify volatility contractions
Watch for Strong Signals on higher timeframes (4H, Daily)
Track Correlation Strength to validate long-term trends
Risk Management Protocol:
✅ Enter on Strong Signals with >70% quality score
✅ Place stop-loss at suggested ATR level
✅ Take profit at forecast target or when opposite signal appears
✅ Only trade when Trend Strength is >60% (bullish) or <40% (bearish)
✅ Avoid trading during Weak Correlation periods
💎 What Makes This Different
1. Multi-Confirmation System
Unlike single-indicator systems, this requires multiple confirmations before generating strong signals, dramatically reducing false positives.
2. Predictive, Not Reactive
Most indicators only show what happened. This system forecasts where price is going with statistical confidence bands.
3. Built-In Risk Management
You don't need separate indicators for stop-losses or targets—everything is calculated automatically based on real volatility (ATR).
4. Information Density Without Clutter
All critical metrics are in the dashboard, while the chart remains clean with only essential visual elements.
5. Institutional-Grade Logic
The signal quality scoring, correlation validation, and multi-layer confirmation mirrors how professional trading desks analyze markets.
⚙️ Technical Specifications
Calculation Components:
EMA (Exponential Moving Average) for trend following
Linear Regression for price prediction
Pearson Correlation for slope validation
Standard Deviation for confidence bands
RSI (14) for momentum
MACD (12, 26, 9) for trend strength
ATR (14) for volatility measurement
Bollinger Bands (20, 2.0) for range analysis
Pivot Points (5, 5) for support/resistance
Optimized Performance:
Max 500 lines for prediction/support levels
Max 50 labels for signal clarity
Max 50 boxes for zone highlighting
Efficient calculations to prevent lag even on 1-minute charts
🎛️ Recommended Settings
Scalping (1m - 5m charts):
Fast EMA: 5
Slow EMA: 13
Trend Filter: 34
Prediction Horizon: 3
Confidence Multiplier: 1.0
Day Trading (15m - 1H charts):
Fast EMA: 9 (default)
Slow EMA: 21 (default)
Trend Filter: 50 (default)
Prediction Horizon: 5 (default)
Confidence Multiplier: 1.5 (default)
Swing Trading (4H - Daily charts):
Fast EMA: 12
Slow EMA: 26
Trend Filter: 100
Prediction Horizon: 10
Confidence Multiplier: 2.0
📱 Alert System
Set up automated alerts for:
🚀 Strong Buy Signals - High probability long setups
⚠️ Strong Sell Signals - High probability short setups
📊 RSI Overbought - Potential reversal warning (>70)
📉 RSI Oversold - Potential bounce opportunity (<30)
⚠️ Important Notes
This indicator is a tool, not a crystal ball:
Always use proper risk management (1-2% risk per trade)
Combine with price action analysis and fundamental research
Back-test settings on your specific market and timeframe
No indicator is 100% accurate - use stop-losses religiously
Consider market context (news, economic events, market structure)
Best Results When:
Trading in trending markets (not choppy/sideways)
Using on liquid instruments with good volume
Combining with support/resistance analysis
Following the overall market bias
🏆 Perfect For:
✅ Traders who want predictive analysis, not just historical data
✅ Those seeking high-probability setups with multiple confirmations
✅ Risk-conscious traders who need automatic stop-loss calculations
✅ Anyone wanting institutional-grade analysis without complexity
✅ Multi-timeframe traders (works on all timeframes)
✅ Both beginners (use dashboard) and professionals (customize everything)
📄 License & Usage
This indicator is provided for educational and trading purposes. Feel free to modify and customize it for your personal trading strategy. If you find it valuable, please give it a boost 🚀 and share your feedback!
Forecasting
SMT + BOS + RR This indicator implements a Smart Money Theory (SMT) + Break of Structure (BOS) strategy with a fixed risk/reward ratio, synchronized between two assets. The main idea is to detect discrepancies in the movements of two symbols to identify potential accumulation and reversal zones driven by institutional activity.
Key Features:
SMT Signals:
Automatically identifies divergences between two assets (e.g., BTC and ETH), highlighting potential smart money activity.
Detects trend direction through sweeps of recent highs and lows.
BOS (Break of Structure):
Filters signals based on structure break: higher highs/lower lows.
Additional ATR-based candle size check to avoid false signals.
Entry & Position Management:
Supports long, short, or both directions.
Entry type selection: on candle close (bos_close) or retest (bos_retest).
Automatic calculation of Stop Loss at the last extreme and Take Profit based on the specified risk/reward ratio (RR).
Visualization:
Arrows displayed on the chart for buy and sell signals.
SL and TP lines for clear risk management.
SMT signals marked at the top and bottom of the chart.
Settings:
Symbol A / Symbol B — choose assets for SMT analysis.
Side — trading direction: long, short, or both.
Swing Size — pivot size for detecting local highs and lows.
Risk/Reward — RR ratio for automatic TP calculation.
Min BOS Body ATR — minimum candle body size for BOS confirmation.
Best Suited For:
Traders following Smart Money concepts and looking for market structure-based signals with controlled risk.
MACD Forecast [QuantAlgo]🟢 Overview
The MACD Forecast extends the classic Moving Average Convergence Divergence (MACD) indicator by projecting potential future MACD line, Signal line, and Histogram values up to 20 bars ahead. Unlike traditional MACD implementations that only display historical momentum data, this indicator employs three distinct forecasting methodologies that analyze different market dimensions: price structure analysis, volume-weighted dynamics, and linear regression trends. Each method explores potential momentum trajectories from a unique analytical perspective, allowing traders to develop probabilistic expectations about future MACD behavior, anticipate signal crossovers before they materialize, and integrate forward-looking momentum analysis into their trading approach.
🟢 How It Works
The indicator operates through a multi-stage calculation process that extends the MACD calculation chain forward in time. First, it generates potential future price values using one of three selectable forecasting methods, each analyzing different market characteristics (structure breaks, volume flow, or statistical trend). These projected prices are then enhanced with configurable volatility simulation that adds realistic price-like fluctuations to the forecast, scaled by ATR (Average True Range) to ensure consistent behavior across different instruments and timeframes. The volatility control allows traders to choose between smooth projections or more realistic forecasts that mirror actual market behavior.
The system processes these volatility-adjusted price projections through an iterative moving average calculation that maintains continuity with historical MA states, computing forecasted fast and slow exponential (or other MA type) values while preserving the mathematical properties of each averaging method. It then calculates the difference between forecasted fast and slow MAs to produce future MACD line values, applies the signal line smoothing to these projections, and derives the forecasted histogram (MACD minus Signal).
The forecasting models adapt to market conditions by analyzing configurable lookback periods and recalculating all projections on every bar update. Traders can control the forecast horizon from 1 to 20 bars ahead. The implementation supports 10+ different moving average types (SMA, EMA, WMA, VWMA, RMA, DEMA, TEMA, ZLEMA, LSMA, ALMA, SMMA) for both the oscillator and signal calculations, creating visual continuity between historical and forecasted values displayed as semi-transparent histogram columns and dashed lines extending beyond the current bar.
🟢 Key Features
1. Market Structure Model
This model applies smart money concepts and price action analysis by identifying break of structure (BOS) and change of character (CHoCH) patterns to determine potential directional bias. The system detects swing highs and lows using configurable pivot lengths, then analyzes sequences of higher highs and lower lows to establish bullish or bearish structure states. When structure is bullish and price approaches recent swing lows, the forecast projects potential moves higher scaled by ATR and trend strength. Conversely, bearish structure near swing highs projects downward bias. In neutral structure states, the algorithm reverts to mean-reversion logic, projecting toward the midpoint between recent structural extremes. The trend strength calculation compares the frequency of higher highs versus lower lows across multiple structure periods, weighting the forecast accordingly.
▶ Practical Implications:
Explores potential MACD momentum behavior during structural trend continuation phases
Identifies scenarios where structure breaks might influence MACD crossovers or divergences
Could be useful for swing traders and position traders who incorporate market structure and price action analysis
The Structure Influence parameter allows blending between pure trend following and structure-weighted momentum forecasts
Helps visualize potential trend exhaustion when structure weakens or reverses while MACD remains extended
May assist in anticipating false breakouts when structure contradicts MACD momentum direction
Particularly relevant for traders who view MACD crossovers through the lens of swing highs/lows rather than pure price momentum
2. Volume-Weighted Model
This model synthesizes multiple volume-based metrics to assess potential capital flow and institutional activity. The algorithm combines On-Balance Volume (OBV) slope analysis, Accumulation/Distribution Line trajectory, volume-weighted returns, and volume spike detection above customizable thresholds. When all volume indicators align directionally (positive OBV slope, rising A/D line, positive volume momentum), the forecast projects stronger potential moves in that direction, reflecting significant accumulation or distribution. Volume spikes above the threshold trigger additional directional adjustments scaled by ATR. The Money Flow Multiplier calculation weights each bar's volume contribution based on where the close falls within the bar's range, providing granular insight into buying versus selling pressure. When volume metrics diverge from price trends, the forecast suggests potential consolidation or reversal scenarios reflected in weakening MACD momentum.
▶ Practical Implications:
Incorporates volume analysis into MACD momentum forecasting
Attempts to distinguish between MACD signals supported by volume versus those that may lack conviction
Could be particularly relevant in markets where volume data is reliable and significant (e.g., equities, crypto, major forex pairs during active sessions)
Volume Influence parameter enables adaptation to different market volume characteristics and trading activity levels
Highlights potential accumulation/distribution phases that might precede major MACD crossovers or divergences
May help filter low-volume price noise that creates false MACD histogram signals
Could be valuable for traders who require volume confirmation before acting on MACD crossover signals
May help identify volume climax patterns that sometimes coincide with MACD extremes before trend reversals
3. Linear Regression Model
This mathematical approach applies least-squares regression fitting to project simple trend trajectories based on recent price history. The algorithm calculates the best-fit line through the lookback period and extrapolates it forward using the regression equation, providing straightforward trend continuation forecasts without conditional logic or market-state dependencies. These projected prices feed through the MACD calculation chain (fast MA - slow MA, then signal line smoothing) to produce statistically-based momentum forecasts.
▶ Practical Implications:
Delivers reproducible MACD forecasts based on statistical principles rather than discretionary interpretation
Performs well in established trending markets with clear directional bias where momentum persistence is likely
Minimal parameter sensitivity (primarily controlled by lookback period length)
Computationally efficient with fast recalculation suitable for multi-timeframe MACD analysis
Serves as a neutral baseline to compare against the more complex structure and volume methods
Provides simpler momentum forecasts in low-noise environments without the assumptions inherent in structure or volume analysis
🟢 Universal Applications Across All Models
Each forecasting method projects potential future MACD values (MACD line, Signal line, and Histogram), which traders can use to:
▶ Anticipate potential crossovers: Visualize possible MACD/Signal crosses several bars ahead, enabling proactive position planning rather than reactive trade execution after crossovers have already occurred
▶ Explore momentum trajectory scenarios: Assess whether current MACD histogram is likely to strengthen (increasing bars) or weaken (decreasing bars), providing insight into trend continuation versus exhaustion probabilities
▶ Plan entry timing: Identify potential optimal entry points along the forecasted momentum curve, such as entering on forecasted histogram pullbacks during strong trends or waiting for forecasted crossovers before commitment
▶ Evaluate zero-line dynamics: Monitor forecasted MACD line position relative to the zero line (bullish above, bearish below) and anticipate when momentum might shift from positive to negative or vice versa
▶ Assess divergence development: Use forecasted MACD values alongside price projections to identify potential bullish or bearish divergences before they fully develop, enabling earlier positioning
▶ Adapt to market regimes: Switch between forecasting methods based on current market character (structure method for range-bound or reversal markets, volume method for liquidity-driven moves, linear regression for clean trending environments)
▶ Manage open positions: Use forecasted MACD momentum deterioration as an early warning for profit-taking or position reduction before traditional exit signals trigger
▶ Combine with other indicators: Layer forecasted MACD crossovers with support/resistance levels, volatility bands, candlestick patterns, or other indicators for multi-confirmation trade setups
🟢 Important Considerations
▶ The indicator includes extensive customization options: adjustable MACD periods (fast/slow/signal), multiple moving average types for both oscillator and signal calculations, configurable lookback periods for each forecast method, customizable forecast horizon, adjustable volatility simulation, volume spike thresholds, structure pivot lengths, influence parameters for blending forecast components, multiple color presets, adjustable forecast transparency, value labels with customizable sizing, and built-in alerts for all major MACD signal types (bullish/bearish crosses, zero-line crosses, histogram sign changes).
▶ As with all technical analysis tools, these forecasts represent potential scenarios based on current data and chosen methodologies. They should be integrated into a comprehensive trading plan that includes risk management, fundamental analysis, and multiple timeframe confirmation rather than used as standalone predictive signals. Market conditions can change rapidly, and no forecasting algorithm can fully foresee the future price action. Most importantly, the true benefit of this script lies not in expecting precise momentum predictions but in developing a forward-thinking perspective on possible MACD behavior and planning your responses accordingly, whether that means preparing for anticipated crossovers, adjusting position sizes based on forecasted momentum strength, or avoiding trades when all three methods show conflicting projections.
NEW 6 Option OBV Dashboard ALGO 1.0NEW 6 Option OBV Dashboard ALGO 1.0 is a powerful multi-timeframe indicator designed for precision options trading. It analyzes six Call and Put contracts using OBV-based momentum logic to reveal real buying and selling pressure. The dashboard presents clear, real-time strength readings that help identify trend direction, reversals, and dominant market side. Ideal for strategy building, scalping, and intraday decisions with accurate, data-driven confirmation.
9 MME + 20,50,200 MMA (welliott_trading)Script que no mesmo gráfico utiliza um indicador para plotar 4 médias
Moon Declination & More [BlueprintResearch]🌒 MOON DECLINATION & MORE
A comprehensive lunar declination visualization showing Moon, Sun, and node declinations, with phase coloring, zodiac sign tracking, and future projections.
Part of the Blueprint Research open-source ephemeris project.
█ WHAT'S INCLUDED
• Moon Declination — The Moon's angular distance from the celestial equator, oscillating rapidly (~27 days)
• Sun Declination — Optional overlay showing the Sun's seasonal declination (±23.4°)
• Node Declinations — North (☊) and South (☋) node lines forming the Moon's orbital envelope
• Future Projections — Project all lines up to 500 bars into the future
• Zodiac Crossing Markers — Indicates when the North Node reaches a particular zodiac degree. Keep in mind, nodes move through the zodiac in reverse.
█ CONCEPTS
Declination measures how far north or south a celestial body appears from the celestial equator. The Moon's declination oscillates rapidly, while its maximum range shifts slowly over the 18.6-year nodal cycle.
Node Declination Envelope:
The North (☊) and South (☋) node lines mark the envelope of the Moon's orbit—the theoretical maximum northern and southern declinations the Moon can reach.
Lunar Standstills:
The 18.6-year nodal cycle determines when the Moon reaches its most extreme declinations. During a major standstill, the Moon can exceed ±28° declination. During a minor standstill, the Moon's range is limited to approximately ±18°.
Out-of-Bounds (OOB):
When the Moon moves beyond ±23.44° declination, it exceeds the Sun's maximum reach and is considered "Out of Bounds."
█ COLORING OPTIONS
Phase Coloring (Moon)
Color the Moon's declination line by lunar phase:
• New Moon (0-90°): Slate silver
• First Quarter (90-180°): Mint
• Full Moon (180-270°): Bright gold
• Last Quarter (270-360°): Soft violet
Zodiac Sign Coloring (Nodes)
Color the node lines by their zodiac sign. When enabled, a color legend appears at the top, showing all 12 signs for reference.
█ ZODIAC FEATURES
Zodiac Sign Coloring
Color the North and South Node lines according to their zodiac sign positions.
Zodiac Crossing
Marks when the North Node crosses a specific zodiac degree. Select any sign and degree (0-29) to track. The North Node moves retrograde through the zodiac over an 18.6-year cycle.
█ RESEARCH FEATURES
Standstill Thresholds
Horizontal reference lines at key declination levels:
• ±28.6° Major Standstill (peak of the 18.6-year cycle)
• ±18.3° Minor Standstill (trough of the cycle)
• ±23.4° Out-of-Bounds threshold
OOB Highlighting
Optional background shading when the Moon exceeds the OOB threshold.
Node Equatorial Crossings
Crosshair markers indicate when the node's declination crosses 0° (equatorial passage).
Reference Line Labels
Labels at projection endpoints with an adjustable offset for readability.
█ FEATURES
• Moon declination with optional lunar phase coloring
• Sun declination overlay
• North and South node declinations (☊ and ☋)
• Future projections up to 500 bars
• Zodiac sign coloring with a color legend
• Zodiac degree-crossing markers
• Node equatorial-crossing markers
• Out-of-Bounds background highlighting
• Reference line labels with offset control
• Customizable line widths and colors
• Informative tooltips for all settings
• Works on all timeframes
█ HOW TO USE
1 — Add the indicator to your chart
2 — Configure which elements to display (Moon, Sun, Nodes)
3 — Enable future projections to view upcoming declination values
4 — Enable Zodiac coloring to track node sign positions
5 — Set a Zodiac Crossing degree to mark when the North Node crosses that point
6 — Enable Standstill Thresholds to show reference lines
7 — Toggle phase coloring to visualize the lunar cycle
█ THEORY
Lunar Theory: ELP2000-82 by Chapront-Touzé & Chapront
Solar Theory: VSOP87 for Sun position and phase calculation
Reference: Meeus, "Astronomical Algorithms" (2nd Ed., 1998)
█ LIMITATIONS
• Truncated ELP2000-82 theory (~10 arcseconds precision)
• Future projections assume consistent bar timing
• Phase coloring uses 4 phases (not the 8 traditional phases)
• Mean nodes only (no perturbation corrections)
█ OPEN SOURCE
Blueprint Research Ephemeris Libraries:
• lib_elp2000_moon — Lunar position and mean node calculations
• lib_vsop_core — Solar position and coordinate utilities
• lib_ephemeris — Unified planetary API
Third-Party Libraries:
• hsvColor by @kaigouthro — HSV color utilities (MPL 2.0)
© 2025-2026 BlueprintResearch (Javonnii) • CC BY-NC-SA 4.0
[uxo] Delta Heatmap - Open Sourcedtheres genuinely no reason that a delta heatmap should be closed source
Short seller Market Stats Box (NY Time)This box will give you the basic info for your stats if you are a short seller .
The tricky one is the morning push it will give you the higher high between 9:30 and 10:00 . OPP% is the difference between market open and market close.
Weekly High/Low Day StatisticsThis indicator analyzes historical price data to determine which day of the week (Monday through Friday) most frequently hosts the weekly high and low prices. It provides overall counts, percentages, and the total number of weeks analyzed. Ideal for traders studying seasonal or day-of-week patterns in markets like futures (e.g., ES1!, NQ1!) or stocks (e.g., SPY).
Key Features:
Overall Statistics: Aggregates data across all available history, including the current partial week if applicable.
High/Low Tracking: Counts how many times each day was the weekly high or low, with percentages calculated over the total weeks.
Tie Handling: Uses the first occurrence in case of price ties (e.g., if multiple days hit the same high, the earliest day is credited).
Futures-Friendly: Utilizes time_tradingday for accurate day-of-week detection on continuous contracts like ES1!, accounting for session timings in UTC.
Table Display: Results are presented in a clean, semi-transparent table in the top-right corner, with columns for counts, percentages, and a total weeks summary.
Dynamic Updates: Processes all available historical bars on daily (1D) charts, supporting deep history (e.g., back to 2001 for ES1!). Note: On intraday timeframes, historical depth may be limited by TradingView's bar constraints.
How It Works:
The script iterates through daily bars, identifying the start of each new week via ta.change(time("W")). It tracks the highest and lowest prices within each week and assigns them to the corresponding trading day. At the end of each complete week, it tallies the results. The current incomplete week is included for real-time relevance.
Percentages are calculated as: (Count / Total Weeks) * 100, rounded to one decimal place.
Usage Tips:
Recommended Timeframe: Daily (1D) for maximum historical analysis. Works on intraday charts but with shallower data.
Symbols: Best for markets trading Monday-Friday, like indices, futures, or equities. Sunday/Saturday data is ignored as it's typically non-trading.
Customization: If ties should favor the last day instead, modify the comparison operators from >/< to >=/<= in the update logic.
Performance: Efficient for large datasets; no max_bars_back needed as it avoids deep historical references.
This tool can help uncover patterns, such as whether Fridays tend to be highs in bullish markets or Mondays lows during volatility. Use it alongside other indicators for comprehensive strategy building. Feedback welcome—feel free to suggest improvements!
Options X-Level Lock Tracker (Weekly Fri PM)What this indicator is
Options X Lock Tracker is a weekly trade‑management dashboard for defined‑risk premium selling where the “trade thesis” is primarily about finishing on the correct side of a single level (X) by expiration. In this framework, X is the short strike (the “line”) you sell, and the goal is to remain on the correct side of X through settlement.
This script helps you:
Compute candidate PUT X and/or CALL X levels using a volatility‑based model,
Lock those X levels on specific weekdays (Mon/Tue/Wed),
Track touches/breaches during the week, and
Evaluate win/loss at weekly settlement.
Core features
1) X‑Level computation (PUT and/or CALL)
Can compute PUT X, CALL X, or both.
Can use a target delta approach or a 1‑sigma move approach.
Volatility input can be HV (log returns) or ATR, with configurable lookback lengths and caps/floors.
2) Expiry / settlement controls
Settlement is aligned to next Friday with a configurable timezone + settle hour/minute (e.g., Fri 16:00 New York).
3) Strike rounding + optional “snap”
Rounds strikes to your chosen strike increment (e.g., 5‑point spacing for index products).
Optional “snap” can align X to nearby prior daily/weekly key levels (H/L/C/Mid) rather than purely model output.
4) Locking workflow (Mon / Tue / Wed)
You can enable locking on Monday, Tuesday, and/or Wednesday.
Locks occur on the daily close (confirmed bar), and once locked, the level is held for the week.
5) Visual plotting
Plots the locked X levels as horizontal lines extended to the right:
PUT lines are solid, CALL lines are dashed, and
Lines are color‑coded by lock day (Mon/Tue/Wed).
6) Touch/Breach tracking
Tracks whether price touched/breached the locked X during the week (after the lock moment).
7) Friday settlement result (win/loss)
On Friday’s confirmed close, evaluates results:
Short PUT considered a win if settle > put strike
Short CALL considered a win if settle < call strike
8) Table dashboard (weekly “control panel”)
The table is meant to be your weekly at‑a‑glance tracker. For each lock day and each side it can show:
Locked strike (X),
“Now” distance from price,
Touch status,
Settle status (once Friday passes),
W% = a real‑time probability estimate (normal approximation).
Important: W% is a real‑time probability estimate, not a historical win‑rate backtest.
9) RSI context + RSI alerts
Optional RSI context in the table and RSI‑based bias framing.
Includes alert conditions for RSI crossing above/below 50 (useful for regime shifts).
Recommended chart setup / best practices
This tracker is intentionally built around daily locking, and is designed for 1D charts where the lock event is the daily close.
Make sure your settlement timezone/time matches the product you’re trading (and your intended settlement convention).
If you trade instruments with different strike spacing, update Strike increment accordingly.
Limitations / notes
Probability outputs (W%) are model estimates and can diverge from real option pricing (skew, kurtosis, jumps, event risk, liquidity, etc.).
This is a decision support / tracking tool. It is not an automated execution system, and it does not include slippage/fees in outcomes.
Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice. Options involve substantial risk and are not suitable for all traders. Always use defined risk controls and trade within your plan.
MTF Institutional Zones with Alerts (Impulse + Mitigation)This script plots multi-timeframe (MTF) Supply and Demand zones derived from impulse candles on higher timeframes.
How zones are created
A new zone is formed when an HTF candle has a body size greater than or equal to ATR(14) * Impulse Multiplier.
If the impulse candle is bullish, the script uses the most recent bearish candle (on that HTF) as the Demand zone source.
If the impulse candle is bearish, the script uses the most recent bullish candle (on that HTF) as the Supply zone source.
Filtering and zone management
Zones are kept only if the distance from the HTF impulse close to the zone source is within ATR(14) * Max Distance.
A maximum number of zones per side is stored for each timeframe. Older zones are deleted automatically.
Zones are extended to the right in real time.
Mitigation rule (50%)
A zone is removed when price mitigates 50% of its range:
Demand is removed when low reaches the midpoint.
Supply is removed when high reaches the midpoint.
Alerts
Formation alerts: triggered when a new HTF zone is created (TF1/TF2/TF3).
Proximity alerts (NEAR/IN): triggered when the candle range is within a configurable distance from a zone or when price is inside/touching it.
How to use
Choose TF1/TF2/TF3 (e.g., 4H / 1H / 15m).
Adjust Impulse Multiplier to detect only strong candles.
Adjust Proximity distance (%) to control when proximity alerts trigger.
Notes
This indicator highlights potential reaction areas. It does not guarantee reversals and should be used with proper risk management.
Macd Momentum Stratum PRO🟦1 INDICATOR OVERVIEW
Macd Momentum Stratum PRO is a professional momentum-classification indicator designed to help traders understand how momentum develops across different structural depths. Instead of compressing momentum into a single MACD signal, the indicator separates it into three coordinated layers, allowing traders to distinguish between early momentum shifts, structural confirmation, and deep market pressure. This layered approach provides clarity, context, and discipline when evaluating market conditions.
🟦2 CORE DESIGN PHILOSOPHY
Momentum does not appear uniformly across the market. It emerges first at faster scales, then propagates into intermediate and deeper structures. Macd Momentum Stratum PRO is built around this principle. Each layer represents a different momentum depth, and the indicator’s logic is designed to respect this natural progression rather than override it with aggressive signaling.
🟦3 THREE-LAYER MOMENTUM ARCHITECTURE
The indicator uses three independent MACD engines.
The first layer represents fast, reactive momentum and captures early changes in market behavior.
The second layer represents intermediate momentum and reflects whether early movement is gaining structural acceptance.
The third layer represents deep momentum and defines dominant pressure within the broader market structure.
By separating these layers, traders can see whether momentum is isolated, developing, or fully aligned.
🟦4 CONFIRMATION-FIRST LOGIC
Fast momentum alone is not considered sufficient. When the first momentum layer detects a fresh shift, the indicator enters a waiting state rather than triggering immediately. Only when the intermediate and deep momentum layers confirm alignment does the system allow the momentum condition to be validated. This confirmation-first design helps reduce noise, filters premature reactions, and reinforces disciplined interpretation.
🟦5 MULTI-TIMEFRAME MOMENTUM CONTEXT
All momentum calculations can be performed on a user-selected higher timeframe. This allows traders to execute on lower timeframes while remaining aligned with higher-timeframe momentum structure. The indicator avoids mixing execution noise with structural bias and provides a clean separation between context and timing.
🟦6 INTERMEDIATE MOMENTUM MODULATION
The intermediate momentum layer includes a proportional multiplier system that allows sensitivity tuning without altering the underlying structure. This enables traders to adapt the indicator to different market conditions while preserving logical consistency and avoiding over-optimization.
🟦7 NON-PREDICTIVE CLASSIFICATION
Macd Momentum Stratum PRO does not attempt to forecast price or generate guaranteed trade signals. It classifies momentum states objectively. All visual markers represent confirmed momentum conditions, not trade instructions. This design encourages responsible usage and integration into broader decision frameworks.
🟦8 VISUAL STRUCTURE AND READABILITY
Each momentum layer is visually differentiated to reflect its structural importance. Fast momentum is displayed with higher contrast, intermediate momentum with controlled tones, and deep momentum with neutral dominance. This hierarchy allows traders to interpret conditions quickly without chart clutter or visual overload.
🟦9 EXECUTION DISCIPLINE AND STABILITY
Momentum states are calculated using confirmed data, ensuring stable historical behavior suitable for backtesting, journaling, and rule-based analysis. Optional confirmation controls allow traders to prioritize either responsiveness or stability depending on their execution style.
🟦10 PRACTICAL USE CASE
This indicator is designed to function as a momentum context and confirmation engine. It is best used alongside execution tools, price action models, or risk management frameworks. Its primary purpose is to answer a critical question with clarity: is momentum structurally aligned, developing, or deteriorating?
🟦11 MARKET AND TIMEFRAME COMPATIBILITY
Macd Momentum Stratum PRO works on all TradingView-supported markets, including crypto, forex, indices, commodities, and equities. It is fully timeframe-agnostic and suitable for scalping, intraday trading, swing trading, and higher-timeframe structural analysis.
🟦12 INTENDED USER PROFILE
This indicator is built for traders who value structure over noise, confirmation over impulse, and context over isolated signals. It is not designed for blind signal-following but for disciplined decision-making supported by clear momentum classification.
🟦13 DISCLAIMER
This indicator is provided for educational and analytical purposes only. It does not constitute investment advice, trading advice, financial advice, or a recommendation to buy or sell any financial instrument. Trading and investing in financial markets involve substantial risk, including the potential loss of all or more than the capital invested. Past performance or indicator behavior does not guarantee future results. The user assumes full responsibility for all trading decisions made using this tool.
Intraday Toolkit1. Visual Components of the Indicator
Understanding the visual cues is essential for quick decision-making during fast-moving intraday sessions:
Trend Background: The background color represents the Primary Cycle (80-period) bias. Green indicates a bullish trend (price is above the primary cycle), and red indicates a bearish trend (price is below the primary cycle).
The Three Cycles:
Yellow Line: Short Cycle (20) – Used for momentum triggers.
Orange Line: Mid Cycle (40) – Represents the baseline for volatility envelopes.
Red Line: Primary Cycle (80) – Defines the overall trend direction.
Volatility Envelopes: Two green lines plotted at a distance (1.5x ATR) from the Mid Cycle. These act as exhaustion zones where price is likely to revert or consolidate.
Rule 3 Signals (Purple Circles): These appear when a specific 3-candle momentum breakout occurs.
2. Trading Strategy for 5m & 15m
This toolkit is most effective when you use the 15m chart for trend confirmation and the 5m chart for precise entries.
Long (Buy) Setup
Enter a long position when the following alignment occurs:
Bullish Bias: The background must be Green (Price > Primary Cycle).
Cycle Low: A pivot low must have been detected (the indicator identifies a local bottom).
Momentum Trigger: Price must close above the Yellow Short Cycle line while the previous candle was below it.
Rule 3 Confirmation: If a purple circle appears simultaneously, it confirms strong buying momentum.
Short (Sell) Setup
Enter a short position when the following alignment occurs:
Bearish Bias: The background must be Red (Price < Primary Cycle).
Cycle High: A pivot high must have been detected (the indicator identifies a local top).
Momentum Trigger: Price must close below the Yellow Short Cycle line while the previous candle was above it.
Rule 3 Confirmation: A purple circle above the price confirms a bearish momentum shift.
3. Exit and Take-Profit Logic
The script includes "State Control" to manage your exits effectively:
Targeting the Envelopes: The primary profit target is the Outer Green Envelope. If price touches the upper envelope (for longs) or lower envelope (for shorts), the trend may be exhausted.
Momentum Exit: If price crosses back over the Yellow Short Cycle line in the opposite direction of your trade, the toolkit considers the move over and signals an exit.
4. Specific Tips for Day Trading
Avoid "Counter-Trend" Signals: Do not take Buy signals if the background is Red, or Sell signals if the background is Green. The logic is built to filter these out for better win rates.
The "Rule 3" Advantage: Use the purple circles as a "second chance" entry. If you missed the initial Buy/Sell signal, a Rule 3 circle indicates momentum is still strong in that direction.
Timeframe Synergy: * 15m: Best for seeing the "Big Picture" and avoiding noise.
5m: Best for finding entries with smaller stop-losses near the Yellow Short Cycle line.
FED Net Liquidity (WALCL - TGA - RRP)a measure of FED net liquidity with color codes. What is FED Net Liquidity?
FED Net Liquidity is a proxy for how much usable US-dollar liquidity is actually available to financial markets.
It combines three balance-sheet items from the Federal Reserve and the US Treasury into one number:
FED Net Liquidity =
FED Balance Sheet (WALCL) − Treasury General Account (TGA) − Reverse Repo (RRP)
The goal is simple:
to estimate how much money is “in play” for risk assets, rather than parked or withdrawn.
MemoMeister Capsules: Boost Your Concentration and MemoryMemoMeister Capsules: Boost Your Concentration and Memory
In today’s fast-paced digital world, concentration and memory have become essential skills for both professional success and everyday life. MemoMeister capsules are increasingly discussed as a supplement designed to support cognitive performance, mental clarity, and sustained focus. Before forming an opinion about MemoMeister, it is important to consult independent analyses and explanatory resources that examine the product from multiple perspectives.
An in-depth independent review that closely examines MemoMeister capsules, their positioning, and general user perception can be found in this detailed analysis, which provides structured insight and contextual evaluation: www.tumblr.com . Such comprehensive references help establish a clearer understanding of how MemoMeister is discussed in real-world contexts.
Another valuable long-form publication explores MemoMeister capsules within the broader topic of mental performance and productivity. This analytical article offers extended background information and explanatory depth, allowing readers to better understand how MemoMeister fits into modern approaches to cognitive support: substack.com . Content that is written in a narrative and research-oriented style often supports informed decision-making.
For readers who want to verify authenticity and differentiate between genuine information and misleading claims, this independent informational resource provides additional clarification and context related to MemoMeister capsules: sites.google.com . Transparency-focused sources like this play an important role in building trust and credibility.
Why Concentration and Memory Matter More Than Ever
Mental focus and memory retention are fundamental to productivity, learning, and decision-making. Whether managing complex work tasks, studying for exams, or handling multiple responsibilities at once, cognitive endurance is often tested daily. MemoMeister capsules are positioned toward individuals who seek steady support for mental performance rather than short-term stimulation.
As cognitive demands increase, many people look for ways to maintain clarity and attention over longer periods. Memory and concentration are closely linked, and supporting both can help reduce mental fatigue while improving the ability to process and retain information consistently throughout the day.
How MemoMeister Capsules Fit Into Daily Cognitive Support
MemoMeister capsules are commonly discussed as part of a routine-based approach to mental performance. Rather than expecting immediate or dramatic effects, many users focus on gradual cognitive support that integrates into everyday habits. This aligns with how memory and focus supplements are typically evaluated, as improvements are often subtle and develop over time.
Consistency plays a key role when it comes to cognitive supplements. By incorporating MemoMeister capsules into a regular schedule, users often aim to support mental clarity during periods of increased cognitive workload, such as demanding work phases or extended periods of concentration.
Long-Term Cognitive Support and Realistic Expectations
When evaluating supplements designed to support concentration and memory, long-term perspective is essential. Cognitive performance is influenced by multiple factors, including lifestyle, workload, and mental habits, which means that products like MemoMeister capsules are typically viewed as supportive tools rather than instant solutions. Many users focus on maintaining stable mental clarity and consistent focus over time, especially during periods of sustained cognitive demand. By setting realistic expectations and combining supplementation with balanced routines, adequate rest, and mental engagement, MemoMeister capsules are often discussed within a broader strategy aimed at preserving cognitive efficiency and supporting memory function in a sustainable and measured way.
MemoMeister Capsules in Everyday Mental Performance Scenarios
In everyday situations that require sustained attention, such as long workdays, complex problem-solving, or continuous learning, mental performance can fluctuate significantly. MemoMeister capsules are often discussed in connection with these real-life scenarios, where concentration and memory are tested repeatedly rather than occasionally. Instead of targeting short bursts of stimulation, the product is typically associated with maintaining a steady level of cognitive support throughout the day. This makes MemoMeister particularly relevant for individuals who value mental consistency, structured thinking, and the ability to stay focused across multiple tasks without experiencing rapid mental exhaustion.
Independent Perspectives and Information Sources
One reason MemoMeister capsules continue to attract attention is their presence across various independent publishing platforms. Articles, reviews, and explanatory pages provide different viewpoints and allow readers to compare interpretations and experiences. This variety of independent content sources contributes to discoverability and encourages a more balanced evaluation.
Access to multiple perspectives helps readers move beyond promotional messaging and focus instead on informative content. When a supplement is discussed in analytical articles and independent resources, it becomes easier to assess expectations realistically and understand its intended role.
Final Thoughts on MemoMeister Capsules
MemoMeister capsules are aimed at individuals who want to support their concentration and memory in a structured and informed way. Whether used during mentally demanding workdays, study periods, or phases of high cognitive load, the product is positioned as a supplement worth examining more closely through independent sources.
Making an informed decision involves understanding realistic expectations, consulting transparent information, and focusing on long-term cognitive well-being. By exploring detailed analyses, explanatory articles, and credibility-focused resources, readers can form a clearer picture of how MemoMeister capsules may fit into their personal approach to mental performance and memory support.
PULSE order-flow + liquidity pressure engine
A professional order-flow + liquidity engine that tracks big players (“Big Boys”) entering and exiting, scores targets probabilistically, and tells you when to follow, when to wait, and when to fade.
If the first indicator is a traffic light, this one is a radar + decision engine.
1. Liquidity Map (Where price wants to go)
Draws FVGs and Order Blocks automatically
Marks Daily / Weekly Highs & Lows
These become targets, not signals
Each target is scored for probability of being hit
You do not trade randomly — you trade toward the most probable liquidity.
2. Pulse Engine (Big money detection)
Detects institutional entry
🟧 Orange = confirmed pulse (BB enters)
🟪 Purple = BB still pushing
Grey = fake / weak pulse
3. Big Boy Tracking (most important feature)
After pulse:
Tracks BB for 1–12 bars
Monitors if momentum is still supported
Detects when BB leaves or gets absorbed
Outcomes:
Continuation → trend continues
Fake stall → still pushing
Real stall → reversal likely (fade opportunity)
This is who’s in control right now logic.
4. Regime Detection (context filter)
Classifies market as:
TREND (follow BB)
ROTATION (chop, wait)
STOP-RUN (liquidity hunt, quick moves)
NEUTRAL
All probabilities and confidence are adjusted by regime (trend boosts, rotation penalizes).
5. Probability Engine (why this is advanced)
Every FVG / OB / High / Low gets:
A score (20–100)
Converted to probability via logistic curve
Assigned a decision class:
Class Meaning
AGGRESSIVE Size up
STANDARD Normal trade
SCOUT Small probe
NO_TRADE Ignore
This prevents overtrading and removes emotion.
6. Entry Logic (follow or fade)
Two modes:
Continuation → follow BB with high rVol
Exhaustion → fade BB when volume dies
Signals:
Buy = bullish pulse + BB confirmed
Sell = bearish pulse + BB confirmed
Fade = BB exits + opposing pressure
7. Candle Coloring (read chart without thinking)
Dark green/red = signal
Orange = BB entered
Purple = BB still active
Dark green/red after stall = reversal likely
Grey = dead zone (don’t trade)
You can literally trade without indicators — just colors.
8. Pressure Triangles (4-factor alignment)
Triangles show alignment strength:
Blue = volume/delta
Purple = momentum
Orange = volatility
Teal = regime
When all align → high conviction environment
This indicator tracks institutional intent in real time, scores liquidity targets with probability, and tells you whether to follow, wait, or fade the move — with regime awareness.
This is a higher-level system than my first script.
First script = entry timing + protection educational
This script = who’s in control + where price will go
Used together:
PULSE = bias + target selection
Predictive SMC = execution + filtering
Gapper SHORT Signal# TradingView Publication Description
## Title
**Gapper Short Signal - Genetic Optimized (81.8% Win Rate)**
---
## Short Description
Data-driven short signal for fading overextended gap-up stocks. Optimized using genetic algorithms on 166 historical gappers.
---
## Full Description
### 📊 What Is This?
A **precision short signal** designed specifically for fading gap-up stocks that have become overextended. Unlike indicators built on gut feeling or traditional rules, this signal was **discovered by a genetic algorithm** that analyzed 166 real gapper stocks over 70 trading days.
The algorithm tested thousands of signal combinations and evolved over 50 generations to find the exact conditions that preceded profitable short entries.
---
### 🎯 Performance (Backtest)
| Metric | Value |
|--------|-------|
| **Win Rate** | 81.8% |
| **Profit Factor** | 20.34 |
| **Stop Loss** | 3.4% |
| **Take Profit** | 8.6% |
*Based on 166 gapper stocks, $1-20 price range, >3% gap, >100k volume*
---
### 🔍 How It Works
The indicator fires a SHORT signal when **ALL 5 conditions** are met:
**1. Overextended Above VWAP**
Price must be trading more than 1.5 ATR above VWAP. This means the stock has run too far, too fast and is stretched like a rubber band.
**2. Volume Dying Down**
NOT a volume climax (RVOL < 3x). We want to see buying pressure fading, not a blowoff top with massive volume.
**3. Rejection Candle (Key Signal!)**
Upper wick must be >51% of the candle range. This is the smoking gun - price tried to push higher but got slammed back down. Sellers are stepping in.
**4. Still Elevated**
Price must be at least 6.66% above the low of day. We want to short stocks that are still high, not ones that have already crashed.
**5. Time Window**
Within the first 5.5 hours of trading. Gapper fades work best when there's still time in the day for the move to play out.
---
### 📈 Best Used On
- **Timeframe:** 1-minute charts
- **Stocks:** Gap-up stocks (>3% gap from previous close)
- **Price Range:** $1-20 (small caps / penny stocks)
- **Volume:** High relative volume days
- **Session:** Regular trading hours
---
### 🖥️ Features
✅ Clean visual signals (red triangles)
✅ Auto-drawn stop loss and take profit levels
✅ Real-time info table showing all conditions
✅ Condition status indicators (✓/✗)
✅ Entry label with exact stop/target prices
✅ Built-in alerts
---
### ⚙️ Settings
| Input | Default | Description |
|-------|---------|-------------|
| Stop Loss % | 3.4% | Distance to stop loss |
| Take Profit % | 8.6% | Distance to profit target |
| Show Info Table | On | Display condition status |
| Show All Conditions | Off | Expanded table view |
---
### 🧬 The Science Behind It
This indicator wasn't designed by a human - it was **evolved**.
A genetic algorithm started with 100 random indicator configurations, each with different entry conditions and thresholds. These "individuals" were backtested against historical gapper data, and the top performers were bred together to create the next generation.
After 50 generations of evolution, only the fittest signals survived. The result is the 5-condition setup you see here.
**Why genetic optimization?**
- Removes human bias from signal design
- Tests combinations humans would never think of
- Finds exact threshold values (not round numbers)
- Adapts to real market data, not theory
---
### ⚠️ Important Notes
**This is a tool, not a guarantee.**
- Backtest performance ≠ future results
- 11 trades in backtest = small sample size
- Always use proper position sizing
- Paper trade before going live
- Works best on liquid stocks with tight spreads
**Risk Management is Everything**
The 81.8% win rate means nothing if you size incorrectly or move your stops. Stick to the 3.4% stop / 8.6% target that the algorithm optimized for.
---
### 💡 Trading Tips
1. **Wait for the signal** - Don't anticipate. Let all 5 conditions align.
2. **Check the table** - Use the info panel to see which conditions are met.
3. **Respect the stop** - The 3.4% stop is part of the edge. Don't widen it.
4. **Let winners run** - 8.6% target gives you 2.5:1 reward-to-risk.
5. **One trade per setup** - Don't re-enter if stopped out.
---
### 🔔 Alerts
Set up alerts for "SHORT Signal" to get notified when all conditions align. Works with TradingView mobile notifications.
---
### 📝 Changelog
**v1.0** (January 2026)
- Initial release
- Genetic optimization on 166 gappers / 70 trading days
- 5-condition SHORT signal
---
### 🙏 Credits
Built using genetic algorithm optimization techniques applied to Polygon.io historical data. Special thanks to the algo trading community for inspiration.
---
### ⚖️ Disclaimer
This indicator is for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always do your own research and consult with a qualified financial advisor before making trading decisions.
---
## Tags
`short` `gapper` `gap-up` `fade` `mean-reversion` `genetic-algorithm` `machine-learning` `day-trading` `momentum` `vwap` `rejection` `small-cap` `penny-stocks`
---
## Category
Trend Analysis / Momentum / Volatility
Support/Resistance + Weekend CME Gaps (Full Fill + Text)This indicator shows Support and Resistance Level of Bitcoin.
It also shows WeekEnd CME Gaps (Gap between Friday Close and Sunday Open )
It has an option to delete the CME Gap box if it is filled.
CME Gap box is in yellow color.
Please Note: In order to use the CME Gap Feature, Your TradingView account should Show CME Gap Charts (CME: BTC1!)
CME Gap Settiings You Can Define
- CME Gap TimeFrame (60, 120) : 60 For 1 Hour and 120 for 4 hour
- Max CME Gap Boxes on Chart : This controls how many old CME gap zones are allowed to stay visible at the same time.
XRP Athey Mitchnick Implied Price (Ramp + Analytical 2030 Label)This indicator implements a fundamental valuation framework for XRP based on the Athey–Mitchnick cryptoasset valuation model. Unlike traditional technical indicators (RSI, MACD, etc.), this tool is not designed to predict short-term price movements. Instead, it models what XRP should be worth over time under explicit adoption and demand assumptions.
It answers the question:
If XRP becomes a real settlement rail and a long-term store of value, what price would be required for the system to function?
What This Indicator Adds
This implementation extends the static Athey–Mitchnick model by introducing a time-based ramp:
1. Adoption grows over time
You specify:
TV CAGR (%)
SoV CAGR (%)
These values compound annually from a start date to an end date (e.g., 2030), producing a dynamic implied valuation curve.
2. Terminal 2030 price is computed analytically
The indicator explicitly computes the implied price at the target year (e.g., 2030) and displays it as:
“2030 Implied Price = $X”
This is done analytically, so the chart does not need to extend to 2030 for you to see the terminal valuation.
3. This is not a trading indicator
This model is not designed for:
Scalping
Breakouts
Entry timing
Momentum trading
It is designed for:
Long-term valuation anchoring
Scenario modeling
Macro thesis testing
Adoption-based forecasting
Narrative vs fundamentals comparison
How to Read the Chart
Market Price (Close)
This is the actual XRP market price. It reflects:
Speculation
Liquidity
Leverage
Narrative
Emotion
Implied Price (Ramp)
This is the fundamental valuation curve.
It shows what XRP’s price would need to be at each point in time for your adoption and store-of-value assumptions to be true.
Bands (Optional)
The ±% bands are valuation tolerance zones. They are not volatility bands.
They help visualize:
Overvaluation
Undervaluation
Reversion zones
2030 Label
The label:
2030 Implied Price = $X
represents the terminal valuation implied by your assumptions. This is the most important output of the model.
What Makes the Price Go Higher
To increase the implied 2030 price, one or more of these must change:
1. Higher Transaction Adoption (TV)
Inputs:
TV0
TV CAGR %
This reflects real-world economic usage.
Higher TV means XRP is settling more real value per day.
Examples:
Cross-border payments
Tokenized assets
Treasury settlement
Interbank liquidity rails
2. Higher Store-of-Value Demand (SoV)
Inputs:
SoV0
SoV CAGR %
This reflects long-term holding demand.
This is the most powerful driver of long-term price.
It models:
Institutional holdings
Strategic reserves
Collateral usage
Long-term investor behavior
3. Lower Velocity
Input:
Velocity V
Lower velocity means XRP must be held longer to support the same transaction volume.
This implies:
Reserve-like behavior
Collateralization
Treasury holding
Structural stickiness
Price is inversely proportional to velocity.
4. Lower Effective Supply
Inputs:
Supply0
Supply CAGR
Supply cap
If XRP becomes locked, escrowed, staked, or structurally held, the effective circulating supply shrinks, increasing price.
Why This Matters
Most crypto price models are:
Technical
Reflexive
Narrative-driven
Non-falsifiable
This one is:
Structural
Adoption-based
Testable
Falsifiable
If XRP never achieves the adoption implied by your inputs, the model will not justify high prices.
This indicator is a forward-looking valuation engine, not a trading tool.
It shows:
What XRP’s price must be for your beliefs about its future to be true.
It forces clarity.
It forces discipline.
And it converts stories into structure.
Blockcircle MRS - Macroeconomic Risk ScorecardOVERVIEW
This BLOCKCIRCLE MACROECONOMIC RISK SCORECARD (MRS) is a real-time economic analysis dashboard that tracks over 30 key metrics and proprietary indicators across GDP, employment, income, consumption, industrial production, yield curves, and credit markets. It consolidates data that would otherwise require monitoring dozens of separate sources into a single, actionable interface.
The core purpose is straightforward: know when conditions support risk-taking and when caution is warranted. Whether you lean aggressive or conservative, this tool gives you the data foundation to adjust your positioning across different timeframes. It delivers both daily short-term insights and a long-term perspective in one view.
WHAT MAKES IT ORIGINAL AND DIFFERENT
This indicator represents years of research into recession forecasting and macroeconomic analysis, distilled into a unified system that goes far beyond what standard economic dashboards provide.
Seven distinct recession risk methodologies run simultaneously: M1 Proprietary Composite, M2 GDP 2-Quarter Rule, M3 Yield Curve Inversion, M4 Sahm Rule, M5 Credit Stress Index, M6 Leading Indicators, and M7 Combined Method
The M1 model is a proprietary scoring system developed through extensive backtesting against historical recession data, weighting GDP, GDI, employment, income, consumption, industrial production, and delinquency data through a calibrated formula
Historical percentage changes span eight distinct lookback periods (1P through 50P), allowing you to see momentum shifts that single-period comparisons miss entirely
Quantitative ratios, including Employment/Population, GDP/GDI divergence, Income/Consumption, Monetary Velocity, Industrial Momentum, and Real Interest Rate, provide context that raw numbers alone cannot deliver
Credit stress monitoring tracks delinquency acceleration across seven loan categories, catching deterioration before it shows up in headline figures
The combined risk score synthesizes all methodologies into a single weighted output with color-coded severity levels
CORE FEATURES
Unified dashboard structure with consistent columns across all sections: VALUE, 1P%, 2P%, 3P%, 5P%, 10P%, 20P%, 30P%, 50P%, TF, STATUS, and SIG
Standardized STATUS classifications provide immediate interpretation without requiring deep economic knowledge
TF column displays data frequency for each metric (3M for quarterly, M for monthly, W for weekly, D for daily)
Compact view toggles let you hide the TF column or extended period columns when you need a cleaner display
NBER recession shading overlays historical recession periods directly on the chart with optional start/end labels
Five fully customizable moving averages with selectable sources from any risk model or economic metric
Configurable alert system with multi-condition triggers for risk threshold breaches across any methodology
Everything on the scorecard is configurable to your exact needs and wants
METRICS COVERAGE
Core Recession Metrics: Real GDP, Gross Domestic Income, Total Nonfarm Payrolls, Civilian Employment, Real Personal Income, Real Personal Consumption, Industrial Production
Key Economic Indicators: Unemployment Rate, Yield Curve (10Y-2Y), M2 Money Supply, Fed Balance Sheet, Consumer Sentiment, Leading Economic Index, ISM Manufacturing PMI, Building Permits, NY Fed Recession Probability
Financial Stress Metrics: Financial Conditions Index (NFCI), High-Yield Spread, TED Spread, Corporate Spread (BAA-AAA), VIX, Initial Jobless Claims
Delinquency Tracking: All Loans, Consumer Loans, Credit Card, Business Loans, Residential RE, Single Family Residential, Commercial RE
Quantitative Ratios: Employment/Population Ratio, GDP/GDI Ratio, Income/Consumption Ratio, Monetary Velocity, Industrial Momentum, Real Interest Rate
USE CASES
Assess economic and monetary policy impacts before making asset allocation decisions
Monitor recessionary risk through multiple independent methodologies and the unified composite score
Track credit stress as an early warning system before problems appear in broader markets
Validate or challenge economic narratives circulating in financial media against objective, sourced data
Time entries and exits in risk assets based on macro regime identification
Compare current conditions against historical precedents using the multi-period change analysis
TECHNICAL SPECIFICATIONS
Optimized data architecture reduced script complexity from 40+ request.security() calls to 38 highly efficient calls
Function-based table rendering dramatically improves execution speed and reduces loading times
Chart labels display full metric names with MA configuration details for immediate identification
Modular dashboard sections can be individually enabled or disabled based on your focus areas
Risk threshold levels are fully adjustable to match your personal risk tolerance
You can setup precise alerts to be notified when specific recessionary risk models are forecasting a potential recession in the horizon, this can be tailored to your customized needs
VaCs MLL V2Quick User Guide
S/R Levels: These are dynamic Support and Resistance lines. They represent "unmitigated" price levels. As soon as the price hits a line, it disappears to keep your chart clean.
BSL/SSL Zones: The red and green boxes represent Buy-Side Liquidity (Previous Day High) and Sell-Side Liquidity (Previous Day Low). These are magnet zones where the price often heads to hunt stop losses.
Leverage Calculator: The dashboard calculates the exact leverage you should use. If you set your "Risk Per Trade" to 5%, and the price hits the "Stop Loss Price," you will lose exactly 5% of your total capital.
Trend Status: Based on the Daily 30 EMA. If the background is Green (Bullish), look for long entries at S/R levels. If Red (Bearish), look for short entries.
MB Break & Retest MB Break & Retest + VWAP (ORB) is an Opening Range Breakout indicator built for intraday trading. It captures the first 15 minutes of the session to plot the Opening Range High, Low, and Midpoint. After the Opening Range is set, it looks for a confirmed breakout using two conditions: price must close a user-defined distance beyond the OR High or OR Low, and the breakout candle must meet a minimum 5-minute volume threshold. If both the OR High and OR Low break in the same session, the indicator flags the market as choppy and avoids taking trades.
Trades are not taken on the breakout candle. Instead, the script waits for price to retest the Opening Range midpoint and enter only when that retest shows acceptable confirmation. Optional filters include a close-position filter (requiring the candle to close in the top/bottom portion of its range), a minimum retest volume requirement, and a midpoint “respect” filter that requires price to reject away from the midpoint by a set distance rather than simply touching it.
An optional VWAP filter adds directional bias: longs are allowed only when the midpoint is sufficiently below VWAP (with a configurable buffer), and shorts are allowed only when the midpoint is sufficiently above VWAP. The VWAP line can be displayed, and the script tracks how many potential trades were filtered out by the VWAP rule.
The indicator also includes built-in trade management and visual risk tools. It plots stop-loss and take-profit zones, supports a partial profit target (taking 50% off at a specified move), and can move the stop to break-even once a configurable R:R threshold is reached. Entry, partial, break-even, stop, and target events can be labeled on the chart.
A live status panel shows the current state (watching, breakout detected, trade active, session closed, or choppy), along with OR levels, midpoint, VWAP context, and volume information. A backtest dashboard summarizes performance metrics such as net P/L, win rate, profit factor, average win/loss, long vs short stats, breakeven exits, partial exits, streaks, and VWAP-filtered counts.
SBMS RSI+MAThis is clearly indicating the RSI with colors on panel and gives idea about overbought and oversold easily in visually clear color bands.
We have made the Alerts facility for knowing the trend improving or trend slowing now.
If this is combined with RSI divergence can be best tool to spot revrsals like in case of Double Bottom OR Double Top to confirm for trade initiation.
