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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
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Rob_Maths의
SB A / A++ ALERT ENGINE (Alerts Only)SB A / A++ Alert Engine Session-Based Level Rejection Strategy (Automation-Ready) Overview The SB A / A++ Alert Engine is a rules-based TradingView indicator designed to identify high-probability institutional-style reversal trades using Stacey Burke–inspired concepts such as previous day levels, session structure, opening ranges, and round numbers. This tool is alerts-only by design, making it ideal for: TradingView alerts Webhook automation Telegram / Discord signal delivery External trade execution systems It does not repaint and evaluates signals on confirmed bar close only. --- Core Trading Idea Price frequently reacts at important reference levels during active trading sessions. This script looks for rejection + confirmation at those levels and grades setups based on confluence and candle quality. Only A-grade and A++-grade setups are alerted. --- What the Script Detects 📌 Key Levels (Confluence Engine) Previous Day High / Low Initial Balance (Mon–Tue range, active Wed–Fri) Session Opening Range (first hour of London / NY) Round Numbers (configurable tick spacing) Each level touched contributes to confluence — without double-counting the same zone. --- 🕒 Session Control Signals are only allowed during: London Session New York Session Includes: Session resets Max alerts per session Cooldown between signals --- 🔎 Candle Confirmation Valid signals require clear rejection behavior, such as: Bullish / Bearish Engulfing candle Strong Pin Bar (wick ≥ 2× body) --- 🧠 Trade Grades A Trade Valid session ATR percentile filter passed ≥ 1 level of confluence Directional rejection A++ Trade All A-Trade rules Strong confirmation candle (engulf or pin) ≥ 2 independent confluence zones Grades are displayed visually and included in alert payloads. --- 📊 Volatility Filter (ATR Percentile) Instead of fixed ATR thresholds, the script uses an ATR percentile rank, ensuring trades only trigger when volatility is above normal for that market. This adapts automatically across: Forex Indices Futures Crypto --- Visual Output ▲ Green / Lime triangles → LONG (A / A++) ▼ Orange / Red triangles → SHORT (A / A++) Color intensity reflects trade grade Optional session shading (if enabled) --- Alerts & Automation All alerts are webhook-ready and structured for automation. Each alert includes: Symbol Timeframe Direction (LONG / SHORT) Trade grade (A or A++) Confluence count Entry price (close of signal bar) Designed to integrate with: Telegram bots Trade execution bridges Risk management engines --- What This Script Is (and Is Not) ✅ IS A high-quality signal engine Non-repainting Automation-friendly Institutional level-based logic ❌ IS NOT A scalping indicator A prediction tool A “trade every candle” system This tool favors patience, structure, and quality over frequency. --- Recommended Usage Timeframes: M5 – M15 Best markets: FX majors, indices, liquid crypto Combine with your own execution, risk, and trade management rules --- ⚠️ Disclaimer This script is for educational and informational purposes only. It does not constitute financial advice. Always test on demo or paper trading before using live capital.
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Accrue의
Price Levels [TickDaddy]I hope you enjoy this indicator as much as I do! it draws out price levels to your liking, by ticks or points, how many ticks/points between levels, very customizable. it also has an info box showing how many ticks/points between levels as well as dollar amount for that level, and you can change contract size as well as micros or minis just to see if price moved that distance, what you can expect to make. any feedback greatly appreciated.
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TickDaddy의
Volume And ROC Surge DetectorSharing this indicator I made for myself. Volume and ROC are early indicators of long moves. When ROC + Volume happens together, it's BOOM. This indicator called, Volume + ROC Surge Detector is a real-time momentum alert indicator designed to spot early institutional activity and explosive price moves. It combines Volume Surge analysis with Price Rate of Change (ROC) to identify when price and participation align. The script monitors abnormal volume relative to a moving average and confirms direction using ROC strength. When both volume expansion and directional momentum occur together, it triggers high-confidence “Boom” signals for bullish or bearish moves. To avoid noise, the indicator includes state-based alert control, ensuring each signal fires only once per condition change and only in real-time, not on historical bars. Key Features 1. Detects bullish and bearish ROC momentum shifts 2. Identifies positive and negative volume anomalies 3. Flags combined Volume + ROC “Boom” events 4. Real-time alerts only (no repaint, no bar-close spam) 5. Duplicate alert prevention using internal state tracking 6. Clean on-chart visual markers for instant recognition. Disable visuals for cleaner chart. Best Use Cases: 1. Catching breakouts and breakdowns early 2. Spotting smart money participation 3. Momentum confirmation for trend, intraday, and swing trading 4. Works across stocks, crypto, and indices Alerts: 1. ROC Bullish Alert When it fires: Price Rate of Change (ROC) crosses above the positive ROC threshold Alert messages: 🟢 ROC Change Bullish → TICKER @ price What it means: Price momentum has turned strongly bullish. Early sign of upside acceleration 2. ROC Bearish Alert When it fires: Price ROC crosses below the negative ROC threshold Alert message: 🔴 ROC Change Bearish → TICKER @ price What it means: Price momentum has turned strongly bearish. Early sign of downside acceleration 3. Positive Volume Surge Alert When it fires: Current volume exceeds Average Volume × Volume Surge Multiplier Alert message: 📈 +Ve Vol Change → TICKER @ volume What it means: Unusual participation / smart money activity. Strength entering the move 4. Negative Volume Alert (Volume Dry-Up) When it fires: Current volume drops below Average Volume ÷ Volume Surge Multiplier Alert message: 📉 -Ve Vol Change → TICKER @ volume What it means: Participation is fading. Trend exhaustion or consolidation risk 5. Boom Bull Alert (High-Conviction Signal) When it fires: Both conditions occur together: Bullish ROC AND Volume Surge (high participation) Alert message: 💥 Boom Volume + ROC Bull → TICKER @ price What it means: Momentum + volume alignment. Strong breakout / continuation probability 6. Boom Bear Alert (High-Conviction Signal) When it fires: Both conditions occur together: Bearish ROC AND Volume Surge (high participation) Alert message: 💣 Boom Volume + ROC Bear → TICKER @ price What it means: Momentum + volume alignment to the downside. Strong breakdown / continuation probability This indicator is built for traders who want clarity, speed, and signal discipline—not lagging confirmations or noisy alerts.
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arupnj2018의
Absolute VWAP and EMA9 Difference indicator - TF Pascal The Absolute VWAP–EMA9 Difference indicator measures the absolute distance between the session’s VWAP and the EMA 9, highlighting the magnitude of separation regardless of direction. A 100-period moving average of this difference shows the typical distance. Low values indicate price near fair value and low momentum, while high values suggest strong momentum or overextension. built for the M1 chart
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pascalsb2g4a의
BTC Valuation ZonesBTC Valuation – Distance From 200 MA This indicator provides a simple but powerful Bitcoin valuation framework based on how far price is from the 200-period Moving Average, a level that has historically acted as Bitcoin’s long-term equilibrium. Instead of predicting tops or bottoms, this tool focuses on mean-reversion behavior: When price deviates too far above the 200 MA → risk increases When price deviates deeply below the 200 MA → long-term opportunity increases
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LeonardoDaTrader의
SR Channel + EMA + RSI MTF + VolHighlightSR + Volume + RSI MTF – edited by Mochi This indicator combines three tools into a single script: SR Zones from Pivots Automatically detects clusters of pivot highs/lows and groups them into support and resistance zones. Zone width is tightened using a percentage of the pivot cluster range so levels are more precise and cleaner. Each zone includes: A colored box (SR area), A dashed midline, A POC line (price level with the highest traded volume inside the zone), A label showing the zone price and distance (%) from current price. Zone color is dynamic but simple and stable: If price closes below the mid of the zone → it is treated as resistance (red). If price closes above the mid of the zone → it is treated as support (green). Box, lines, and label always share the same color. Volume Inside the Zone + POC Calculates buy/sell volume for candles whose close lies inside each zone. Uses abs(buyVol − sellVol) / (buyVol + sellVol) to measure volume imbalance and control box opacity: Stronger, more one‑sided volume → darker box (stronger zone). POC is drawn as a thin line with the same color as the zone to highlight the best liquidity level for entries/TP. Multi‑Timeframe RSI Dashboard Shows RSI(14) values for multiple timeframes (1m, 5m, 15m, 30m, 1h, 4h, 8h, 1d), each can be toggled on/off. Background color of each RSI cell: RSI > 89 → red (strong overbought), 80–89 → orange (warning area), RSI < 28 → lime (strong oversold), Otherwise → white (neutral). The goal of this script is to give traders a clear view of: Key support/resistance zones, Their volume quality and POC, And multi‑TF overbought/oversold conditions via the RSI dashboard – all in one indicator to support retest/flip‑zone trading.
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xmochi1의
Multiple Time Frame Stoch-RSIThis indicator is designed to show users the values for default stochastic RSI and default RSI settings across multiple time frames. I have made many bad trades focusing too closely on one particular time frame and indicators that suggest the price will move one way, to be superseded by a higher timeframe pushing price in another direction. The timeframes are customisable so you can select your own timeframes, but the default timeframes chosen here are part of the BareNaked Crypto or Naked Nation strategy, looking at timeframes in multiples of 3 for lower timeframes. The idea in its simplest form is that when timeframes like the 3/6/9m are all over sold or over bought (coloured red or green) then it could be a suitable time to place an order. Or at least be more favourable for your trade. This indicator as with all indicators is designed as a tool to add to whatever arsenal of strategy or tools you are already using and does not constitute financial advice, just be cause 3/6/9m is in red or green does not guarantee that the trade will go your way. The orange on the timeframes are generally designed to show users where price can reverse so for example if the stochastic 3m is at 10 and in green, but the 9m is at 65 in orange, it could be that a push up is not finished and the 9m drop from oversold to 65 could be reversed due to a low 3m stochastic number and then 9m goes from 65 back up to 100, and vice versa. The arrows for direction also allow you to quickly deduce the direction of the stochastic RSI, ^ up, V down, and stable -. this should allow you to see if the stochastic has been rising and is beginning to turn around or not.
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Rogmantrades의