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Market Participation Gradient [Interakktive]Market Participation Gradient (MPG) is a diagnostic oscillator that measures the quality and intensity of market participation by combining price efficiency with activity (volume or a FX-safe proxy) into a single 0–100 score. Most tools tell you "how much activity exists." MPG focuses on "how effective that activity is," helping you differentiate clean directional participation from absorbed / inefficient participation where effort produces limited directional progress. █ WHAT IT DOES - Produces a 0–100 participation score (higher = stronger participation environment) - Uses color as state context (not buy/sell) - Classifies participation into four tiers for quick readability - Includes an optional status-line HUD for at-a-glance context without chart clutter █ WHAT IT DOES NOT DO - NO buy/sell signals - NO entries/exits - NO alerts by default - NO repainting / no lookahead (diagnostic context only) █ HOW TO READ MPG Level (0–100) - Higher values = stronger participation environment - Lower values = thin, drifting participation environment Color (state language, not direction) - Teal = Clean participation (efficient movement) - Magenta = Absorbed participation (high activity, low efficiency) - Amber = Building / transition state - Grey = Thin / neutral state █ TIER SYSTEM MPG uses four tiers: - THIN (0–20): low participation environment - BUILDING (20–40): participation emerging / transitional - STRONG (40–65): solid participation environment (quality becomes more meaningful) - EXTREME (65+): very high participation environment (contextually important during events or late-cycle pushes) █ QUALITY ASSESSMENT (STRONG / EXTREME) Within STRONG and EXTREME tiers, MPG evaluates participation quality: - Clean (Teal): Efficiency > 55% - Absorbed (Magenta): Efficiency < 30% AND Activity > 1.5× - Neutral (Grey): otherwise (mixed quality) █ STATUS LINE HUD MPG can display key values in TradingView's status line: - Minimal: MPG (0–100) + Tier (0–3) - Full: adds Direction (-1/0/1) and Quality (-1/0/1) This provides quick context without tables or on-chart panels. █ HOW IT WORKS (METHODOLOGY) MPG combines two independent measurements: 1. Efficiency (0–1) Efficiency = |Net Displacement| / Total Path Length - High efficiency = price moved more directly - Low efficiency = price moved less directly (more back-and-forth) 2. Activity (centered at 1.0) Activity = Current Volume / Average Volume - Activity > 1 = above-average activity - Activity < 1 = below-average activity FX / indices fallback: If volume is unreliable/unavailable, MPG uses a range-based proxy: (High–Low) / ATR (capped) to prevent distortion. 3. Participation Score (0–100) Participation = Efficiency × √Activity × 100 The square root applies diminishing returns so activity alone cannot dominate without efficiency support. █ SETTINGS Core - ATR Length — normalization baseline - Efficiency Lookback — bars used for efficiency - Volume Average Length — baseline for activity - Smoothing Length — EMA smoothing (1 = minimal smoothing) Visuals - Histogram / Line / Tier Bands toggles - Optional pane background tint (default OFF) - Theme: Cinematic (subtle) or Vivid (brighter) HUD - Status Line HUD toggle - HUD Detail: Minimal or Full █ SUITABLE MARKETS Works on any market with price data. For symbols with unreliable volume (common in FX), MPG automatically uses the range/ATR activity proxy. █ RELATED (INTERAKKTIVE) - MER — Market Efficiency Ratio (pure efficiency) - ERD — Effort–Result Divergence (effort vs outcome) - VSI — Volatility State Index (expansion/contraction context) █ DISCLAIMER This indicator is for educational and informational purposes only and does not constitute financial advice. Always do your own research and use appropriate risk management.
مؤشر Pine Script®
من ‎Interakktive‎
1
EMA RSI Adaptive (v6) [Joy]I have taken Glaz's code and converted to V6. The main logic is not mine but taken from Glaz's code The EMA RSI Adaptive indicator smooths price with an EMA whose speed adjusts to RSI’s distance from its midpoint (50). When RSI strays far from 50 (higher momentum/volatility), the effective EMA period shrinks so the line hugs price. When RSI stays near 50 (quieter conditions), the period lengthens to filter noise. The target of the EMA update is an SMA of price (matching the original design), so you get a smoothed, adaptive trend line rather than a raw EMA of closes. Key mechanics (what’s happening under the hood): RSI distance: |RSI - 50| + 1 measures how “charged” momentum is. Bigger distance → faster adaptation. Dynamic period: a nonlinear mapping turns that RSI distance into an adjusted smoothing length. Adaptive EMA: ema = emaPrev + alpha * (SMA - emaPrev), where alpha = 2 / (1 + dynamicPeriod). Visuals: optional color shift—blue when the line is rising, magenta when falling. Practical use: Trend filter: rising line = bullish bias; falling line = bearish bias. Pullback tool: in trends, price tags or minor pierces of the adaptive line can mark pullback zones. Volatility-aware: it tightens in fast moves (tracks closer) and relaxes in chop (filters more). On very low timeframes or illiquid symbols, expect more whipsaw; lengthen the base EMA or RSI period to calm it. The color toggle is cosmetic; the adaptive line itself carries the signal.
مؤشر Pine Script®
من ‎Joy_Bangla‎
BTC - Institutional Cost Corridor (Overlay)BTC - Institutional Cost Corridor | RM Strategic Context The approval of Spot Bitcoin ETFs on January 11, 2024, signaled the beginning of the "Institutional Era." Since then, price discovery has shifted from being purely retail-driven to being heavily influenced by massive, off-chain equity flows. The Institutional Cost Corridor is an approach for a quantitative tool designed to solve the problem of "Institutional Blindness" by mapping the aggregate cost basis of Wall Street's entry. It allows for the identification of structural "gravity zones" where institutional capital is most likely to move from a state of profit into a state of defense. The Methodology: Data Selection & Weighting To ensure the output is statistically significant, the data engine focuses exclusively on the "Big 3" liquidity providers: BlackRock (IBIT), Fidelity (FBTC), and Bitwise (BITB). These three funds represent over 80% of total Spot ETF liquidity. A weighted ratio is applied (prioritizing BlackRock) to reflect the reality that a dollar flowing into IBIT has a significantly higher impact on market structure than a dollar in smaller, fragmented funds. This ensures the indicator follows the actual mass of institutional capital. Recalculating the Shadow: Nominal Price & AUM A common point of confusion is that Bitcoin ETFs have a completely different nominal price than Bitcoin itself (e.g., an IBIT share may trade at $50 while BTC is at $100,000). To solve this, the script does not look at the dollar price of the shares. Instead, it uses Assets Under Management (AUM) and Relative Performance Mapping . By calculating the percentage growth of the funds' underlying value since inception and projecting that growth onto the Bitcoin price axis, the script "re-scales" the institutional entry levels. This allows us to see exactly where Wall Street is "underwater" on a standard Bitcoin chart. The Mathematical Foundations: Genesis vs. Anchored The indicator utilizes two distinct mathematical approaches to triangulate the "Truth" of institutional positioning. These are not arbitrary assumptions, but forward-mapped models verified against professional financial benchmarks. 1. Conservative Floor (Genesis Mode) • The Logic: This model uses a Cumulative Inflow VWAP . It treats every dollar that has entered the ETFs since Day 1 as part of a single, massive ledger. • Scientific Justification: This approach maps to the "Fortress Zone" of early, high-conviction capital. Historical AUM performance data suggests that the largest influx of structural capital occurred during the launch phase of 2024. This logic identifies the Ultimate Floor —the level where the entire ETF cohort would flip to a net loss. In late 2025 research (e.g., Glassnode "True Market Mean"), this model consistently aligns with the deepest structural support of the bull cycle. 2. Wall Street Entry (Anchored Mode) • The Logic: This model utilize a Relative Performance Anchor . It synchronizes the Bitcoin price on Launch Day with the growth performance of the ETF fund shares. • Scientific Justification: This approach identifies the "Active Participant Basis." It reflects the entry price for the capital that fueled the most recent expansion cycles. It maps directly to the "Active Investors' Realized Price" cited by institutional research firms, identifying the immediate psychological "pain threshold" for the current market majority. 3. Institutional Mean (Hybrid Mode) • The Logic: A 50/50 mathematical blend of the Conservative Floor and the Wall Street Entry . • Justification: This is the "Equilibrium Zone." It serves as a neutral baseline by balancing early-stage "Genesis" conviction with late-cycle volatility. It represents the median cost basis of all current institutional holders. 4. The Shadow Corridor (Full Range) • The Logic: Visualizes the entire spread between the Conservative Floor and the Wall Street Entry. • Justification: The "Structural Support Cloud." Instead of a single price, it defines a regime . As long as Bitcoin remains above this cloud, the institutional trend remains in an "Expansion Phase." A re-entry into this corridor suggests a transition from a trending market into a value-accumulation phase. Tactical Playbook: Scenario Logic The Shadow Corridor (Full Range) visualizes the area between these two models, creating an "Institutional War Zone." • Active Support Test: When price tests the Wall Street Entry (upper boundary), it indicates the active institutional majority is at breakeven. Expect significant defensive buying (bids) as funds protect their yearly performance reports. • Deep Value Regime: Trading inside the Corridor is defined as a "Value Regime." This is where institutional accumulation historically absorbs retail capitulation. • The Premium Trap: When the distance between price and the Corridor exceeds 35-40%, the market is "speculatively overextended," signaling a high probability of mean-reversion. • Macro Breakdown: A Weekly (1W) candle closing below the Conservative Floor (lower boundary) signals a structural trend shift, indicating the majority of ETF-era capital is officially in a drawdown. Operational Recommendation Best viewed on the Daily (1D) timeframe for macro structural analysis, providing the most reliable signal for institutional defense zones. Tags: bitcoin, btc, etf, blackrock, ibit, institutional, cost-basis, vwap, macro, cycle, realized-price, Rob Maths
مؤشر Pine Script®
من ‎Rob_Maths‎
Simple ATR Volatility Context v1.0This indicator provides a simple visual view of market volatility using ATR expressed as a percentage of price. It is designed to help identify when a market transitions from low-activity (compression) to higher-activity (expansion). What it does Calculates ATR as a percentage of price Highlights the chart when volatility exceeds a user-defined threshold Helps distinguish between quiet markets and trade-worthy conditions How to use it Green background indicates elevated volatility Neutral / muted background indicates low volatility Use alongside your own trend, structure, or entry tools What this is not Not a buy or sell signal Not predictive No performance claims This tool is intended for market context and awareness, not standalone trading decisions.
مؤشر Pine Script®
من ‎Slotz321‎
RSI (Any Source) StrategyThis is a simple RSI crossover/crossunder strategy. It calculates RSI on a user-selected Source (default close) using the chosen Length (default 14). It enters a long when RSI crosses up through the Oversold level (default 30), and enters a short when RSI crosses down through the Overbought level (default 70). It does not include explicit exits—each new signal effectively flips/replaces the position via a new entry.
استراتيجية Pine Script®
من ‎AJSwogger‎
Rango Pre-Apertura (8am-9am)Overview This indicator is specifically designed for the index trading community, with a focus on US30 (Dow Jones). It centers on the concepts of "Capital Injection" and "Opening Traps," automatically identifying the most critical liquidity levels prior to the New York Open (09:30 AM EST). Indicator Logic The script operates on the premise that the range formed between 08:00 AM and 09:00 AM EST acts as a key accumulation or manipulation zone before the official session. By marking these levels, traders can visualize where institutional algorithms are likely to seek liquidity before the day’s primary expansive move begins. Key Features 08:00 - 09:00 AM Range: Automatically calculates and projects the exact High and Low of this pre-market window. Previous Day Levels (PDH/PDL): Identifies the Previous Day High and Low as primary zones for External Liquidity (BSL/SSL). Visual Clarity: Lines are projected only until 01:00 PM EST to keep the chart clean for post-session analysis. Professional Styling: Uses non-continuous plots to avoid visual noise and diagonal line "bleeding" between trading days. How to Trade with this Script Mapping: Identify whether the price opens above or below the 8:00 AM range. The Trap: Look for liquidity sweeps (Stop Runs) of the marked lines exactly at 09:30 AM. Confirmation: Combine this indicator with price action to detect "Force Invalidations" (Engulfing patterns) at H1 or H4 Points of Interest (POI).
مؤشر Pine Script®
من ‎jortiiz2311‎
Manipulation Candle (RIC) V0.2Interpretation and Trading Use Boxed Candles: Represent 15-minute periods with unusually high range relative to daily volatility. These may signal: Market manipulation (e.g., stop hunts or fakeouts). Breakouts, reversals, or high-impact news. Entry/exit points in strategies focusing on volatility expansion. No Boxes: Indicates normal or low-volatility candles (range < threshold). Multi-Timeframe Analysis: On lower timeframes (e.g., 5-min), boxes encompass multiple bars. On higher (e.g., 1-hour), they highlight specific 15-min segments. Example: On a volatile stock like TSLA, a 0.2 multiplier might highlight candles during earnings releases, aiding in spotting trading opportunities. Limitations and Considerations Drawing Limits: TradingView caps drawing objects at ~500 per script. On long histories, older boxes may not load—zoom in or reduce chart bars. Data Availability: Requires 15-minute and daily data; may not work on illiquid symbols or non-standard charts (e.g., Renko). Real-Time Delays: Boxes appear only after 15-min closes; no intra-bar drawing. No Alerts Built-In: Add custom alerts via TradingView's alert system (e.g., on condition changes). Performance: Efficient, but on very low timeframes with long history, it may use more resources due to persistent boxes. Customization: For extensions (e.g., labels, multiple timeframes), modify the code carefully in Pine Script® v6 to avoid errors. Version History V0.2: Added persistent historical boxes; refined new candle detection. Future Updates: Potential additions like box limits or multi-multiplier support. Check for updates in the script comments. If you encounter issues or need customizations, refer to TradingView's Pine Script® documentation or community forums. For error-free extensions in Pine Script® v6, ensure proper variable scoping, type declarations, and testing on historical data.
مؤشر Pine Script®
من ‎Richard_1O1‎
FPT - Engulfing Bar Highlight📌 Description FPT – Engulfing Bar Highlight is a clean and lightweight indicator designed to highlight valid bullish and bearish engulfing candles directly on the chart. The indicator uses a strict engulfing definition: Bullish Engulfing Current low breaks the previous low Close is above the previous open Close is above the current open Bearish Engulfing Current high breaks the previous high Close is below the previous open Close is below the current open An optional minimum candle size filter (in ticks) helps eliminate weak or insignificant engulfing candles. This tool is ideal for traders who: Trade price action Use engulfing candles as entry, confirmation, or context Want a minimal, non-intrusive visual highlight Combine engulfing logic with key levels, sessions, or other strategies ⚙️ Inputs Highlight Mode Bull Only Bear Only Both Minimum Engulfing Size (ticks) 🎯 Features Clean bar highlight (no boxes, labels, or signals) No repainting Works on any market and timeframe Perfect for discretionary and algorithmic workflows ⚠️ Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Always use proper risk management.
مؤشر Pine Script®
من ‎erendev‎
UT Bot + Hull MA Close-Cross Confirm (Strategy)UT Bot + Hull MA Close-Cross Confirm (Strategy) This strategy combines the classic UT Bot ATR trailing stop with a Hull Moving Average (HMA) close-cross confirmation to reduce false signals and improve trade quality. The system works in two stages: UT Bot Signal Detection A volatility-adjusted ATR trailing stop identifies potential trend shifts using a 1-period EMA crossover. This provides early buy and sell signals based on momentum and volatility. Hull MA Close-Cross Confirmation UT Bot signals are only confirmed once price closes across the Hull Moving Average. If a UT signal occurs on the wrong side of the Hull MA, the strategy waits until a valid close-cross occurs before triggering an entry. This confirmation step helps filter chop and late-trend reversals. Key Features Non-repainting logic (uses bar-close confirmation) Futures-friendly design (fixed contracts, point-based TP/SL) Supports Long, Short, or Both directions Built-in Take Profit & Stop Loss Configurable Hull MA type (HMA / EHMA / THMA) Optional Heikin Ashi signal source Clean Buy/Sell alerts for automation and webhook execution Trade Logic Summary Long Entry: UT Bot buy signal + confirmed close above Hull MA Short Entry: UT Bot sell signal + confirmed close below Hull MA Exit: Fixed Take Profit or Stop Loss (user-defined in points) Alerts & Automation The strategy includes dedicated Buy Alert and Sell Alert conditions designed for webhook automation (e.g., trade logging, execution engines, or external dashboards). Alerts trigger only on confirmed bar closes, matching backtest behavior. Intended Use This strategy is designed for futures markets (e.g., MNQ, ES, GC) and performs best on intraday timeframes. Session filters, risk rules, and trade management can be handled externally if desired. Disclaimer This script is provided for educational and research purposes only and is not financial advice. Always test thoroughly and use proper risk management.
استراتيجية Pine Script®
من ‎omnipadme‎
IV Rank as a Label (Top Right)IV Rank (HV Proxy) – Label Displays an IV Rank–style metric using Historical Volatility (HV) as a proxy, since TradingView Pine Script does not provide access to true per-strike implied volatility or IV Rank. The script: Calculates annualized Historical Volatility (HV) from price returns Ranks current HV relative to its lookback range (default 252 bars) Displays the result as a clean, color-coded label in the top-right corner Color logic: 🟢 Green: Low volatility regime (IV Rank < 20) 🟡 Yellow: Neutral volatility regime (20–50) 🔴 Red: High volatility regime (> 50) This tool is intended for options context awareness, risk framing, and volatility regime identification, not as a substitute for broker-provided IV Rank. Best used alongside: Options chain implied volatility Delta / extrinsic value Time-to-expiration analysis Note: This indicator does not use true implied volatility data.
مؤشر Pine Script®
من ‎NikoRojas‎