Joey ATR BoxA simple box to display the current ATR (Average True Range). Choose a corner to display it in, works on multiple timeframes and customizable. Enjoy god bless :)
Volatilidade
CloudfareCloudfare - Advanced Market Sentiment Visualization System
What It Does:
Cloudfare is a proprietary market sentiment analysis tool that visualizes real-time money flow and order flow through a dynamic cloud system. Unlike traditional indicators that lag price action, Cloudfare provides forward-looking market sentiment analysis by combining multiple proprietary algorithms.
Core Innovation - Dynamic Cloud Technology:
The cloud system is the primary innovation, not a simple mashup of existing indicators. It uses a proprietary algorithm that:
Analyzes money flow velocity through volume-weighted price action
Calculates institutional order flow patterns using proprietary OBV modifications
Implements a unique "breathing" algorithm that expands/contracts based on market volatility
Uses color-coded transparency to indicate sentiment strength (0-100 scale)
Proprietary Signal Generation:
Higher High/Lower Low Pattern Recognition: Custom algorithm that identifies price breakouts with 3-bar confirmation and volume divergence analysis
Signal Strength Scoring: Proprietary 0-100 scoring system that combines price action, volume surge detection, RSI momentum shifts, and money flow velocity
Dynamic Glow System: Signal brightness adapts to market conditions - brighter signals indicate higher probability setups
Technical Methodology:
Money Flow Analysis: Custom MFI implementation with volume weighting and momentum calculations
Order Flow Tracking: Proprietary OBV modifications that detect institutional accumulation/distribution
Volume Divergence Detection: Unique algorithm that identifies volume patterns not visible in standard indicators
Multi-Factor Confirmation: Combines 5 different confirmation methods to filter false signals
Why This Justifies Closed-Source Protection:
The core algorithms for cloud generation, signal strength calculation, and dynamic glow adaptation are proprietary mathematical models developed over 3 months of testing. These are not simple combinations of existing indicators but original mathematical approaches to market sentiment visualization.
Unique Value Proposition:
Real-time sentiment visualization through the breathing cloud system
Forward-looking signals that anticipate trend changes before price confirmation
Adaptive transparency that changes based on market conditions
Multi-timeframe VWAP integration with proprietary anchoring methodology
How to Use:
Cloud Analysis: Green cloud indicates bullish money flow, red indicates bearish pressure
Diamond Signals: Green diamonds below price for bullish reversals, red diamonds above for bearish
Signal Strength: Brighter diamonds represent higher probability setups
Trend Confirmation: 5-day confirmation system filters noise and false signals
Best Practices:
Works optimally on daily and 4-hour timeframes
Combine with price action analysis for maximum effectiveness
Monitor cloud color changes for early trend shift warnings
Use diamond signals for entry/exit timing
Author's Instructions:
To request access to this invite-only script, please contact me directly through TradingView messaging with your trading experience and intended use case. Access is granted on a case-by-case basis to ensure proper usage and support.
💎 Fade Core – RSI Pivots Hybrid + Adjustable EMAThis is a beta version that tries to catch extremes in the marker. It uses RSI extremes aligned with distance from 55EMA (reversion to mean).
Adaptive Weighted Oscillator (Manual ADX + Gradient)📘 Adaptive Weighted Oscillator (Manual ADX + Gradient)
This oscillator dynamically blends multiple market dimensions—trend, momentum, volume, and volatility—into a single composite curve. Each component is normalized and smoothed, then weighted adaptively based on current market conditions using a manually calculated ADX.
🔧 Key Features:
• Manual ADX Calculation: Uses raw price movement to compute directional strength, enabling precise trend detection.
• Adaptive Weighting Logic:
• Strong trend → higher weight to trend curve.
• Choppy market → momentum takes priority.
• High volume or volatility → respective curves gain influence.
• Composite Output: A unified oscillator line colored via gradient (green/red/gray) to reflect bullish/bearish/neutral zones.
• Zero Line Reference: Helps identify directional bias and potential reversals.
• Visual Fill: Area between composite and zero line is shaded for clarity.
🧠 Use Cases:
• Spotting early shifts in market regime (trend vs. chop).
• Confirming entries with multi-factor agreement.
• Filtering noise by relying on adaptive logic rather than static thresholds.
QUBIC↔BTC ProjectionQUBIC↔BTC Projection — Short & Simple
WHAT IT DOES
- Shows where QUBIC might roughly land if BTC reaches a target price you choose.
- Draws a midline (estimate) and a band around it (safety margin).
HOW TO USE
1) Check symbols:
- QUBIC/USDT (e.g., GATEIO:QUBICUSDT)
- BTC/USDT (e.g., BINANCE:BTCUSDT)
2) Set at the top:
- "BTC Target ($)": enter your desired BTC price (e.g., 117000).
- "Lookback": number of candles used for the estimate (more = smoother, less = more reactive).
- "Band ±σ": width of the band (1 is a good start).
3) Info display:
- Choose "Panel top-right/bottom-right" (fixed corner) or "Label" (on chart).
- Adjust text size to your liking.
- Optional: "Compact format" for tiny QUBIC prices (e.g., 0.(5)156).
WHAT YOU SEE
- Midline = rough direction for QUBIC at your BTC target.
- Band = room to the downside/upside.
- The panel/label shows the numbers as text.
NOTE
- This is an estimate, not a promise. Use it as guidance, not a guarantee.
MUCİP Hacim Dashboard - Çoklu Zaman DilimiThis indicator calculates the volume of the most recently closed bar in the specified timeframes (1m, 2m, 3m, 5m, 10m, 15m, 30m) and the percentage change rate of this volume compared to its 20-period simple moving average (SMA) volume.
Commodity Pulse Matrix (CPM) [WavesUnchained]Commodity Pulse Matrix (CPM) is a professional multi-timeframe analysis suite built for commodity trading. It compresses dozens of signals into one color-coded matrix to show directional bias and quality across three user-set timeframes, plus optional chart TF. Non-repainting design: HTF values use confirmed bars; rendering is optimized.
Categories:
Flow = MFI, OBV, volume trend, smart-money bias. Momentum = RSI (dynamic zones), MACD histo, CCI, WaveCycle Momentum (adaptive, ATR-normalized). Trend = EMA stack (20/50/100/200), ADX+DI, VWAP positioning. Volatility = ATR%, Williams Vix Fix spikes, squeeze (Bollinger inside Keltner). Structure = price vs key EMAs, pivot S/R alignment. Divergence = regular/hidden on RSI via RDZ, optional MACD, cluster strength; zone-gated and bar-confirmed.
Oscillators:
WCM detects momentum swings with dead-zone filtering and dynamic OB/OS. RDZ finds divergences only in RSI 70/30 zones with optional volume/MFI gate. WVF highlights volatility-shock exhaustion (bottom/top mode) and can feed the exhaustion filter.
Exhaustion module:
Strict 5-point check (RSI extreme, ATR range expansion, volume spike, wick ratio, compressed body) with Watch → Confirmed logic and optional reversal-zone boxes from pivots. Squeeze detector flags contraction and first expansion.
Matrix and visuals:
Compact or detailed grid; 4-layer heat gradient; ▲/▼/• symbols; action badges (Setup/Neutral); optional VWAP cross markers (session, anchored high/low, clusters). Overlay options: EMA gradient fill, AVWAP (session/week/month), S/R lines, divergence diamonds (teal/amber), exhaustion triangles, squeeze dots. Performance friendly (updates on last bar).
Scoring:
Each category scores −3…+3, weighted by importance (default: Flow 1.2, Momentum 1.0, Trend 1.0, Volatility 0.6, Structure 1.0, Divergence 1.4). Confluence bands: ≥ +8 strong bull, ≥ +4 moderate bull, ≤ −4 moderate bear, ≤ −8 strong bear; otherwise neutral. Heat score (0–1) blends magnitude, TF alignment, divergence strength, and volume confirmation.
Configuration:
Presets Intraday/Swing/Carry or full Custom. Adjustable weights, thresholds, oscillator params (WCM, RDZ, WVF), HTF-confirmed mode, matrix layout, alert conditions. Works on commodities, FX, indices; 1m to Monthly.
How to use:
Wait for TF alignment and high confluence; use reversal zones and divergence/exhaustion for timing. Trend follow: all TFs green, pullback to EMA20, stop below EMA50. Divergence: diamond appears, matrix flips, enter with confirmation. Squeeze: contraction then expansion in matrix direction.
Notes:
Pine v6. Non-repainting by design. Optimized security calls and UI throttling. Alert-ready. Backtest before live trading; manage risk; news context matters.
Disclaimer:
Educational only. Not financial advice. Past performance is not indicative of future results.
1m Scalping ATR (with SL & Zones)A universal ATR indicator that anchors volatility to your stop-loss.
Read any market (FX, JPY pairs, Gold/Silver, indices, crypto) consistently—regardless of pip/point conventions and timeframe.
Why this indicator?
Classic ATR is absolute (pips/points) and feels different across markets/TFs. ATR Takeoff normalizes ATR to your stop-loss in pips and highlights clear zones for “quiet / ideal / too volatile,” so you instantly know if a 10-pip SL fits current conditions.
Key features
Auto pip detection (FX, JPY, XAU/XAG, indices, BTC/ETH).
Selectable ATR source: chart timeframe or fixed ATR TF (e.g., “15”, “30”, “60”).
Display modes:
Percent of SL – ATR relative to SL in %, great for M1 (typical 10–30%).
Multiple of SL – ATR as a multiple of SL (e.g., 0.6× / 1.0× / 1.2×).
Panel zones:
Green = “Ready for takeoff” (≤ Low), Yellow = reference (Mid), Red = too volatile (≥ High).
Status badge (top-right): Quiet / ATR ok / Wild, current ATR/SL value, ATR TF used.
Direction-agnostic: Works the same for longs and shorts.
Inputs (at a glance)
Length / Smoothing (RMA/SMA/EMA/WMA): ATR base settings.
Your Stop-Loss (Pips): Reference SL (e.g., 10).
ATR Timeframe (empty = chart): Use chart TF or a fixed TF.
Display Mode: “Percent of SL” or “Multiple of SL.”
Low/Mid/High (Percent Mode): Zone thresholds in % of SL.
Low/Mid/High (Multiple Mode): Zone thresholds in ×SL.
Recommended defaults
Length 14, Smoothing RMA, SL 10 pips
Display Mode: Percent of SL
Low/Mid/High (%): 15 / 20 / 25
ATR Timeframe: empty (= chart) for reactive, or “30” for smoother M30 context with M1 entries.
How to use
Set SL (pips). 2) Choose display mode. 3) Optionally pick ATR TF.
Interpretation:
≤ Low (green): setups allowed.
≈ Mid (yellow): neutral reference.
≥ High (red): too volatile → adjust SL/size or wait.
Note: Auto-pip relies on common ticker naming; verify on exotic symbols.
Disclaimer: For research/education. Not financial advice.
Daily trend flip system📈 System 1 — Daily Trend Flip Screener
System 1 (Daily) is a trend-following screener indicator designed to help traders quickly identify assets showing strong bullish momentum, meaningful volatility, and solid liquidity.
By combining an EMA crossover with ATR filtering, this tool filters out weak or noisy signals and focuses on clean daily breakouts.
🧭 How it works
EMA Trend Flip — Signals when the fast EMA crosses above the slow EMA with an ATR-based buffer, reducing false triggers in chop.
ATR% Filter — Shows the 20-day average true range as a percentage of price to highlight assets with real movement.
$ Volume Filter — Displays average daily dollar volume over the past 20 days to ensure liquidity.
Days Since Long Trigger — Tracks how many trading days have passed since the last bullish flip, making it easy to find fresh momentum.
📊 Screener Columns
✅ LongSignal_1or0 — 1 if currently in a long signal
📈 ATR20_pct — 20-day ATR as a % of price
💰 ADDV20 — 20-day average daily dollar volume
⏳ DaysSinceLong — days since the last long trigger
💡 Use Cases
Quickly scan for daily breakout setups
Combine volatility and liquidity filters to narrow down quality tickers
Catch new momentum trades early in their trend
Build cleaner watchlists without manually scanning dozens of charts
RMBS Smart Detector - Multi-Factor Momentum System
# RMBS Smart Detector - Multi-Factor Momentum System
## Overview
RMBS (Smart Detector - Multi-Factor Momentum System) is a proprietary scoring method developed by Ario, combining normalized RSI and Bollinger band positioning into a single composite metric.
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## Core Methodology
### Buy/Sell Logic
Marker (green or red )appear when **all four filters** pass:
**1. RMBS Score (Momentum Strength)**
From the formula Bellow
Combined Range: -10 (extreme bearish) to +10 (extreme bullish)
Signal Thresholds:
• BUY: Score > +3.0
• SELL: Score < -3.0
2. EMA Trend Filter
BUY: EMA(21) > EMA(55) → Uptrend confirmed
SELL: EMA(21) < EMA(55) → Downtrend confirmed
3. ADX Strength Filter
Minimum ADX: 25 (adjustable 20-30)
ADX > 25: Trending market → Signal allowed
ADX < 25: Range-bound → Signal blocked
4. Alternating Logic
Prevents signal spam by requiring alternation:
✓ BUY → SELL → BUY (allowed)
✗ BUY → BUY → BUY (blocked)
________________________________________
Mathematical Foundation
RMBS Formula: scoring method developed by Ario
RMBS = (RSI – 50) / 10 + ((BB_pos – 50) / 10)
where:
• RSI = Relative Strength Index (close, L)
• BB_pos = (Close – (SMA – 2 σ)) / ((SMA + 2 σ) – (SMA – 2 σ)) × 100
• σ = standard deviation of close over lookback L
• SMA = simple moving average of close over lookback L
• L = rmbs_length (period setting)
This produces a normalized composite score around zero:
• Positive → bullish momentum and upper band dominance
• Negative → bearish momentum and lower band pressure
• Near 0 → neutral or transitional zone
Input Parameters
ADX Threshold (default: 25)
• Lower (20-23): More signals, less filtering
• Higher (28-30): Fewer signals, stronger trends
• Recommended: 25 for balanced filtering
Signal Thresholds
• BUY: +3.0 (adjustable)
• SELL: -3.0 (adjustable)
Visual Options
• Marker colors
• Background highlights
• Alert settings
________________________________________
Usage Guidelines
How to Interpret
• 🟢 Green Marker: All conditions met for Bull condition
• 🔴 Red Marker: All conditions met for Bear condition
• No Marker: Waiting for confirmation
________________________________________
Important Disclaimers
⚠️ Educational Purpose Only
• This tool demonstrates multi-factor technical analysis concepts
• Not financial advice or trade recommendations
• No guarantee of profitability
⚠️ Known Limitations
• Less effective in ranging/choppy markets
• Requires proper risk management (stop-loss, position sizing)
• Should be combined with fundamental analysis
⚠️ Risk Warning
Trading involves substantial risk of loss. Past performance does not indicate future results. Always conduct your own research and consult professionals before trading.
________________________________________
Open Source
Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome.
“All logic is presented for research and educational visualization.”
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**Attribution & Fair Use Notice**
The RMBS scoring framework (Multi-Factor Momentum System) was originally designed and formulated by *Ahmadrezarahmati( Ario or Ario_ Pine Lab)*.
If you build upon, modify, or republish this logic—please include proper attribution to the original author. This request is made under a spirit of open collaboration and educational fairness.
Momentum Buy and SellThis indicator is created to monitor patterns and ascertain if the market is in an upward trend, downward trend, or consolidating phase. Moreover, it indicates changes in trends and can optionally display price levels.
TF weekly System 1 — Weekly Trend Flip Indicator
System 1 (Weekly) is a simple trend-following indicator that uses weekly EMAs with ATR filtering to highlight strong directional shifts.
📈 Uses weekly fast & slow EMAs
🧭 ATR filter removes weak or choppy signals
🟢 Bullish regime = fast EMA above slow + ATR margin
🔴 Bearish regime = fast EMA below slow − ATR margin
⚪ Neutral when neither condition is met
Works on any chart timeframe, but signals are based on weekly data
Ideal for position traders and longer-term swing trading
💡 Tip: Use this indicator to confirm larger trend direction and combine with lower timeframe strategies for entry timing.
Final trend following weeklySystem 1 — Weekly Trend Flip Indicator
System 1 (Weekly) is a simple trend-following indicator that uses weekly EMAs with ATR filtering to highlight strong directional shifts.
📈 Uses weekly fast & slow EMAs
🧭 ATR filter removes weak or choppy signals
🟢 Bullish regime = fast EMA above slow + ATR margin
🔴 Bearish regime = fast EMA below slow − ATR margin
⚪ Neutral when neither condition is met
Works on any chart timeframe, but signals are based on weekly data
Ideal for position traders and longer-term swing trading
💡 Tip: Use this indicator to confirm larger trend direction and combine with lower timeframe strategies for entry timing.
Oscillator CandlesticksI've always wondered why we don't use candlesticks for oscillators...then I stopped wondering and made an oscillator with candlesticks.
The following oscillators are available as a proof of concept:
* Consumer Channel Index (CCI)
* Rate of Change (ROC)
* Relative Strength Index (RSI)
* Trend Strength Index (TSI)
You can add a moving average to the ohlc4 value of the oscillator and choose the type of the moving average and whether it should be influenced by volume.
NINA TBL — Killzones + D/W HL + VLines + iFVG + HTF FVGThis indicator incorporates concepts that work for me to draw levels on the chart to trade from
Trend following system with ADR and volumeSystem 1 — Trend Flip Strategy
System 1 is a simple trend-following strategy that enters on a bullish EMA flip and exits when the trend weakens or reverses. It’s built to catch clean moves and avoid chop.
Uses fast and slow EMAs with ATR filtering to detect real momentum
Enters long on a bullish flip
Exits on a bearish flip or neutral zone (optional)
Clear signals with easy-to-read entry and exit markers
Great for trending markets and momentum setups
Tip: Test across multiple timeframes and pair with volume or higher-timeframe confluence for stronger signals.
Session-Conditioned Regime ATRWhy this exists
Classic ATR is great—until the open. The first few bars often inherit overnight gaps and 24-hour noise that have nothing to do with the intraday regime you actually trade. That inflates early ATR, scrambles thresholds, and invites hyper-recency bias (“today is crazy!”) when it’s just the open being the open.
This tool was built to:
Separate session reality from 24h noise. Measure volatility only inside your defined session (e.g., NYSE 09:30–16:00 ET).
Judge candles against the current regime, not the last 2–3 bars. A rolling statistic from the last N completed sessions defines what “typical” means right now.
Label “large” and “small” objectively. Bars are colored only when True Range meaningfully departs from the session regime—no gut feel, no open-bar distortion (gap inclusion optional).
Overview
Purpose: objectively identify unusually big or small candles within the active trading session, compared to the recent session regime.
Use cases: volatility filters, entry/exit confirmation, session bias detection, adaptive sizing.
This indicator replaces generic ATR with a session-conditioned, regime-aware measure. It colors candles only when their True Range (TR) is abnormally large/small versus the last N completed sessions of the same session window.
How it works
Session gating: Only bars inside the selected session are evaluated (presets for NYSE, CME RTH, FX NY; custom supported).
Per-bar TR: TR = max(high, prevRef) − min(low, prevRef).
prevRef is the prior close for in-session bars.
First bar of the session can include the overnight gap (optional; default off).
Regime statistic: For any bar in session k, aggregate all in-session TRs from the previous N completed sessions (k−N … k−1), then compute Median (default) or Mean.
Today’s anchor: Running statistic from today’s session start → current bar (for context and the on-chart ratio).
Color logic:
Big if TR ≥ bigMult × RegimeStat
Small if TR ≤ smallMult × RegimeStat
Colored states: big bull, big bear, small bull, small bear.
Non-triggering bars retain the chart’s native colors.
Panel (top-right by default)
Regime ATR (Nd): session-conditioned statistic over the past N completed sessions.
Today ATR (anchored): running statistic for the current session.
Ratio (Today/Regime): intraday volatility vs regime.
Sample size n: number of bars used in the regime calculation.
Inputs
Session Preset: NYSE (09:30–16:00 ET), CME RTH (08:30–15:00 CT), FX NY (08:00–17:00 ET), Custom (session + IANA timezone).
Regime Window: number of completed sessions (default 5).
Statistic: Median (robust) or Mean.
Include Open Gap: include overnight gap in the first in-session bar’s TR (default off).
Big/Small thresholds: multipliers relative to RegimeStat (defaults: Big=1.5×, Small=0.67×).
Colors: four independent colors for big/small × bull/bear.
Panel position & text size.
Hidden outputs: expose RegimeStat, TodayStat, Ratio, and Z-score to other scripts.
Alerts
RegimeATR: BIG bar — triggers when a bar meets the “Big” condition.
RegimeATR: SMALL bar — triggers when a bar meets the “Small” condition.
Hidden outputs (for strategies/screeners)
RegimeATR_stat, TodayATR_stat, Today_vs_Regime_Ratio, BarTR_Zscore.
Notes & limitations
No look-ahead: calculations only use information available up to that bar. Historical colors reflect what would have been known then.
Warm-up: colors begin once there are at least N completed sessions; before that, regime is undefined by design.
Changing inputs (session window, multipliers, median/mean, gap toggle) recomputes the full series using the same rolling regime logic per bar.
Designed for standard candles. Styling respects existing chart colors when no condition triggers.
Practical tips
For a broader or tighter notion of “unusual,” adjust Big/Small multipliers.
Prefer Median in markets prone to outliers; use Mean if you want Z-score alignment with the panel’s regime mean/std.
Use the Ratio readout to spot compression/expansion days quickly (e.g., <0.7× = compressed session, >1.3× = expanded).
Roadmap
More session presets:
24h continuous (crypto, index CFDs).
23h/Globex futures (CME ETH with a 60-minute maintenance break).
Regional equities (LSE, Xetra, TSE), Asia/Europe/NY overlaps for FX.
Half-day/holiday templates and dynamic calendars.
Multi-regime comparison: track multiple overlapping regimes (e.g., RTH vs ETH for futures) and show separate stats/ratios.
Robust stats options: trimmed mean, MAD/Huber alternatives; optional percentile thresholds instead of fixed multipliers.
Subpanel visuals: rolling TodayATR and Ratio plots; optional Z-score ribbon.
Screener/strategy hooks: export boolean series for BIG/SMALL, plus a lightweight strategy template for backtesting entries/exits conditioned on regime volatility.
Performance/QOL: per-symbol presets, smarter warm-up, and finer control over sample caps for ultra-low TF charts.
Changelog
v0.9b (Beta)
Session presets (NYSE/CME RTH/FX NY/Custom) with timezone handling.
Panel enhancements: ratio + sample size n.
Four-state bar coloring (big/small × bull/bear).
Alerts for BIG/SMALL bars.
Hidden Z-score stream for downstream use.
Gap-in-TR toggle for the first in-session bar.
Disclaimer
For educational purposes only. Not investment advice. Validate thresholds and session settings across symbols/timeframes before live use.
Volatility Adjusted Relative Strength (VARS) - Histogram OptionI’ve developed a new version of VARS that includes an option to toggle it into a histogram view. I recommend using a single neutral color rather than the conventional “red below 0, green above 0” scheme — because true RS analysis shouldn’t rely on color cues. The focus should be on the immediacy and persistence of RS itself to capture that initial breakout move as the most optimal RRR entry. This also provides clearer insight and visualization into how RS functions (both traditional and VARS) since RS is a static EOD metric derived from a defined timeframe.
I want to emphasize again that VARS is useful to identify low-risk entries, with relative strength calibrated to the volatility of the reference index (in this case, AMEX:SPY ). It is not used to determine my exits — those should be governed by a strict, non-discretionary framework for partial profit-taking and final exit of a position.
ADAM Projection - Efficiency Ratio Adaptive)Overview
The ADAM Projection is a visualization of how a price path might extend from its recent motion, expressed as a continuation (trend reflection) or anti-trend (mean reversion) pattern. This indicator expands upon Jim Sloman’s original ADAM projection—introduced in “The Adam Theory of Markets or What Matters Is Profit” (1983)—by adding a modern quantitative framework for Efficiency Ratio (ER) weighting, time-scaled path normalization, and smooth blending between continuation and anti-trend projections.
What Is the ADAM Theory?
Jim Sloman’s original ADAM projection was designed to model pure trend continuation. He proposed that every market motion could be mirrored around a central anchor price (the “Adam line”), effectively reflecting past price movements forward in time to visualize what a continuation of the same geometric path would look like. This reflection concept captured the idea that market structure exhibits self-similarity and that price trends often extend symmetrically beyond recent pivots.
How This Script Extends It
This version generalizes Sloman’s concept by introducing an adjustable blend between continuation (reflection) and anti-trend (forward paste) behavior, weighted by an adaptive ER domain.
Anchor Axis
The reflection axis (anchorPrice) can be Close, HL2, HLC3, or OHLC4.
The projection is drawn forward from this anchor for a user-defined horizon (len bars).
Dual Paths
Continuation (Reflection): Mirrors historical closes across the anchor.
Anti-trend (Forward Paste): Extends historical closes directly forward without inversion.
Efficiency Ratio (ER)
The Efficiency Ratio measures how directional recent price movement has been: ER = |Net Change| / Σ|Δi|
Values near +1 indicate strong directionality (favoring continuation); values near 0 indicate noise or consolidation (favoring anti-trend behavior).
Signed ER Normalization
ER values are mapped into a user-defined domain between erMin and erMax, with:
erSharp (γ) controlling the steepness of the blend curve
erFloor providing stability when ER ≈ 0
beta (β) weighting volatility across time (β = 0.5 approximates √time scaling)
Blended Projection
Each projected point is a weighted combination of the two paths: y_proj = (1 − w) * y_fade + w * y_cont
The blend factor w is derived from the normalized ER domain and gamma shaping, producing a smooth morph between the anti-trend and continuation geometries.
Visualization
The teal projection line shows the dynamically blended continuation/anti-trend forecast for the next len bars.
The gray anchor line marks the reflection axis.
Each segment adapts in real time based on ER magnitude and recent path structure.
Key Parameters
Core: len, anchorPrice, lineThin — projection horizon and appearance
Lines: showProj, colProj — show or recolor projection
ER Domain: erMin, erMax, erSharp, erFloor, beta — control domain scaling, shaping, and time weighting
Practical Use
High ER values emphasize continuation (trend-following behavior).
Low or negative ER values emphasize fading or mean reversion.
The projection helps visualize whether recent structure supports trend persistence or weakening.
Interpretation
The ADAM Projection is not a predictive indicator but a geometric tool for studying market symmetry and efficiency. It provides a structured way to visualize how recent movements would look if extended forward under both continuation and anti-trend assumptions. This blends Sloman’s original reflection concept with modern ER-based adaptivity.
Summary
Origin: Jim Sloman (1983) — trend continuation via reflection symmetry.
Extension: Adds ER-driven blending to model both continuation and anti-trend regimes.
Concept: Price reflection vs. direct forward extension.
Purpose: Study of geometric price symmetry and efficiency, not a trade signal.
Options Momentum SignalCustomizable Intraday Options Scalping Alert.
Several important, complementary indicators combined into one simple signal that pops up under a bar to indicate sustained momentum on a trend. It uses a combination of calculations based on the 1m VWAP, price increase in contrast to previous day's close, and customizable Volatility and Volume Data.
It has adjustable values for the % increase from last close (labeled as Pre-Mkt % Threshold), minimal candle body % to filter out weaker signals, RVOL threshold, minimum CVD (it's rolling, so functions in tandem with the CVD lookback value for the number of bars.)
It offers individual boxes that can be checked on or off to help filter out noise. Boxes are: Use 1m VWAP, Use CVD, 3-bar cooldown (reduces back-to-back signals, especially on shorter (1m, 2m, and 5m) charts), VWAP bounce option to catch bounces happening in real time before the candle closes, Use RVOL, and Use Rolling CVD. These can all be checked on or off and will create vastly different signals depending on what you are filtering for.
These indicators were chosen specifically as I feel they help most with option scalping and is intended to be used alongside a few other indicators for confirmation. Personally, I use a couple anchored VWAPs (highest high, session) as well as a FRAMA channel for confirmation. I also use the following to further confirm trends: TradingView’s RVOL, CVD, and Price Pattern Oscillators, in addition to Beardy Fred's TTM Squeeze Pro.
Hope this helps some people!
Rolling Midpoint of Price & VWAP with ATR BandsThe Rolling Midpoint of Price & VWAP with ATR Bands indicator is a dual-equilibrium concept that fuses price-range structure and traded-volume flow into one continuously updating hybrid model. Traditional VWAPs reset each session and reflect where trading occurred by volume, while midpoints used here reveal where price has structurally balanced between extremes. This script merges both ideas into a cohesive, dynamic system. The Rolling Price Midpoint (50 % of range) represents the structural fair-value line, calculated as the average of the highest high and lowest low over a selected window. The Rolling VWAP (Volume-Weighted Window) tracks the flow-based fair-value line by weighting each bar’s typical price by its volume. Together, these components form the Hybrid Equilibrium — the adaptive center of gravity that shifts as price and volume evolve. Surrounding this equilibrium, ATR Bands at ± 2.226 ATR and ± 5.382 ATR define volatility envelopes that expand and contract with market energy. The result is a living cloud that breathes with the market: compressing during phases of balance and widening during impulsive movements, offering traders a clear visual framework for understanding equilibrium, volatility, and directional bias in real time.
➖
⚙️ Auto-Preset System
The Auto-Preset System intelligently adjusts lookback windows for both the Price Midpoint and VWAP calculations according to the active chart timeframe.
This ensures that the indicator automatically adapts to any trading style — from scalping on 1-minute charts to swing trading on daily or weekly charts — without manual tuning.
🔹 How It Works
When Auto-Preset mode is enabled, the script dynamically selects the most effective lookback lengths for each timeframe.
These presets are optimized to balance responsiveness and stability, maintaining consistent real-world coverage (e.g., the same approximate duration of price data) across all intervals.
📊 Preset Mapping Table
| Chart Timeframe | Price Midpoint Lookback | VWAP Lookback |
|:----------------:|:-----------------------:|:--------------:|
| 1–3m | 13 bars | 21 bars
| 5–10m | 21 bars | 34 bars
| 15–30m | 34 bars | 55 bars
| 1–2 hr | 55 bars | 89 bars
| 4 hr-1D | 89 bars | 144 bars
| 1W | 144 bars | 233 bars
| 1M | 233 bars | 377 bars
⚡ Notes & Customization
- Manual Override: Turn off Auto-Preset Mode to specify your own custom lookback lengths.
- Consistency Across Scales: These adaptive values keep the indicator visually coherent when switching between timeframes — avoiding distortions that can occur with static lengths.
- Practical Benefit: Traders can maintain a single chart layout that self-tunes seamlessly, removing the need to manually recalibrate settings when shifting from short-term to long-term analysis.
In short, the Auto-Preset System is designed to make this hybrid equilibrium tool timeframe-aware — automatically scaling its logic so that the cloud behaves consistently, regardless of chart resolution.
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🌐 Hybrid Equilibrium Envelope
The core hybrid midpoint acts as the mean of structural (price) and volumetric (VWAP) balance.
ATR-based bands project natural expansion zones:
🔸+2.226 / –2.226 ATR → inner equilibrium (controlled trend)
*🔸+5.382 / –5.382 ATR → outer volatility extension (over-stretch / reversion zones)
Color-coded fills show regime strength:
* 🟧 Upper Outer (+5.382) – strong bullish expansion
* 🟩 Upper Inner (+2.226) – trending equilibrium
* 🔴 Lower Inner (–2.226) – mild bearish control
* 🟣 Lower Outer (–5.382) – volatility exhaustion
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🧭 Higher-Timeframe Framework
Two macro anchors — Price length of 144 and VWAP length of 233 — outline higher-timeframe bias zones. These help confirm when local momentum aligns with (or fades against) long-term structure.
Labels on the right show active lookback values for quick readout:
`$(13) V(21)` → current rolling pair
`$144 / V233` → macro anchors
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🧩 Chart Examples
**AMD 15m (Equilibrium Expansion)**
Price steadily rides above the hybrid midpoint as teal and orange (bullish) ATR zones widen, confirming a phase of controlled bullish volatility and healthy trend expansion.
BTCUSD 1m (Volatility Compression)
Bitcoin coils tightly inside the teal-to-maroon equilibrium bands before breaking out.
The hybrid midpoint flattens and ATR envelopes contract, signaling a state of balance before volatility expansion.
ETHUSD 15m (Transition from Compression → Impulse)
Ethereum transitions from purple-zone compression into a clear upper-band expansion.
The hybrid midpoint breaks above the macro VWAP 233, confirming the shift from equilibrium to directional momentum.
SOFI 1m (Micro Bias Reversal)
SOFI’s intraday structure flips as price reclaims the hybrid midpoint.
The macro VWAP 233 flattens, signaling a transition from oversold lower bands back toward equilibrium and early trend recovery.
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🎯 How to Use
1. Bias Detection – Price > Hybrid Midpoint → bullish; < → bearish.
2. Volatility Gauge – Watch band spacing for compression / expansion cycles.
3. Confluence Checks – Align Hybrid Midpoint with HTF 233 VWAP for strong continuation signals.
4. Mean Reversion Zones – Outer bands highlight areas where probability of snap-back increases.
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🔧 Inputs & Customization
Auto Presets toggle
🔸Manual Lookback Overrides** for fine-tuning
🔸Plot Window Length** (show recent vs full history)
🔸ATR Sensitivity & Fill Opacity** controls
🔸Label Padding / Font Size** for cleaner overlay visuals
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🧮 Formula Highlights
➖Rolling Midpoint = (highest(high,N) + lowest(low,N)) / 2
➖Rolling VWAP = Σ(Typical Price×Vol) / Σ(Vol)
➖Hybrid = (PriceMid + VWAP) / 2
➖Upper₂ = Hybrid + ATR×2.226
➖Lower₂ = Hybrid − ATR×2.226
➖Upper₅ = Hybrid + ATR×5.382
➖Lower₅ = Hybrid − ATR×5.382
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🎯 Ideal For
➡️ Traders who want adaptive fair-value zones that evolve with both price and volume.
➡️ Analysts who shift between scalping, swing, and position timeframes, and need a tool that self-adjusts.
➡️ Those who rely on visual structure clarity to confirm setups across changing volatility conditions.
➡️ Anyone seeking a hybrid model that unites structural range logic (midpoint) and flow-based balance (VWAP).
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🏁 Final Word
This script is more than a visual overlay — it’s a complete trend and structure framework built to adapt with market rhythm. It helps traders visualize equilibrium, momentum, and volatility as one cohesive system. Whether you’re seeking clean trend alignment, dynamic support/resistance, or early warning signs of reversals, this indicator is tuned to help you react with confidence — not hindsight.
➖
Remember — no single indicator should ever stand alone. For best results, pair it with price action context, higher-timeframe structure, and complementary tools such as moving averages or trendlines. Use it to confirm setups, not define them in isolation.
💡 Turn logic into clarity, structure into trades, and uncertainty into confidence.
