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브레드쓰 인디케이터

MOSHIACH indicatorBuilt for traders who want clarity, not noise. This indicator focuses only on high-quality setups using trend, momentum and volatility filters. Features: • GO / WAIT signal engine • WHY NO GO™ dashboard • Trend + momentum confirmation • Compression detection • Multi-pair optimized Developed in Israel <3 by an independent trader focused on clean execution and disciplined trading. Designed for H4 swing traders. No repaint. Continuous updates included.
Pine Script® 인디케이터
koshertrade의
Volume Profile - Previous DayPrevious Day Volume Profile (PDVP) plots a fixed volume distribution for the prior trading day directly on your chart. It builds a price-by-volume histogram from the previous session and highlights key auction levels: POC (Point of Control): the price level with the highest traded volume VAH / VAL (Value Area High/Low): the value area boundaries based on your selected percentage Previous Day High/Low: optional session extremes for context How to Use It Contextual Trading: Use the vPOC (Point of Control) and Value Area as magnets or hurdles for price. Price staying inside the Value Area suggests a balanced/ranging market. Price breaking out of the Value Area suggests a trend initiation. Mean Reversion: Look for "Value Area Rejections" at the VAH or VAL to play moves back toward the POC. PDH/PDL Anchors: The blue rays provide instant daily bias. Breaking the Previous Day High often signals bullish momentum, while failing to do so suggests a potential reversal. Settings Auto-Detect Settings: Toggle this on to let the script handle the math, or toggle off to input your own custom "Row Height" in ticks. Value Area %: Defaulted to 70% (Standard). Histogram Width: Adjust how far the profile extends across your chart. Calculation Granularity: Defaulted to 10m for the best balance of speed and accuracy.
Pine Script® 인디케이터
prater18의
SR-Zone v1Automatic Level Detection - Identifies strongest S/R levels through pivot clustering algorithm Strength-Based Filtering - Shows only the most significant zones based on touch count Adaptive Channel Width - Adjusts to market volatility (percentage-based calculation) Color-Coded Zones - Red (resistance), Green (support), Gray (price in channel) Breakout Alerts - Notifies when price breaks through established levels Optional Moving Averages - Display SMA/EMA overlays for trend confirmation Delta Reaction Zones Volume Flow Analysis - Calculates cumulative delta (buy volume - sell volume) Buy/Sell Pressure Stats - Shows percentage of positive vs negative flow in each zone Intelligent Zone Merging - Automatically combines overlapping zones for cleaner visualization ATR-Based Sizing - Zones adapt to current market volatility Flow Classification - Labels zones as "BUY FLOW", "SELL FLOW", or "MIXED" Reclaim Signals - Alerts when price reclaims support or re-enters resistance zones Net Delta Display - Shows total delta value for each zone
Pine Script® 인디케이터
JoeBester의
Support Resistance Zone Selvapandi//@version=5 indicator("Volume Footprint S/R Zones – Nifty (Syntax Safe)", overlay=true, max_boxes_count=300) // ---------- Inputs ---------- volLen = input.int(50, "Volume MA Length") volMult = input.float(1.8, "Volume Spike Multiplier", step=0.1) bodyPctMin = input.float(0.6, "Impulse Body %", step=0.05) atrLen = input.int(14, "ATR Length") zoneATRmult = input.float(0.7, "Zone Height ATR Mult", step=0.1) extendBars = input.int(200, "Extend Zones (bars)") maxRetests = input.int(3, "Max Retests per Zone") // ---------- Core Metrics ---------- volMA = ta.sma(volume, volLen) atr = ta.atr(atrLen) isVolSpike = volume > volMA * volMult body = math.abs(close - open) barRange = high - low bodyPct = barRange > 0 ? body / barRange : 0.0 bullImpulse = close > open and bodyPct >= bodyPctMin and isVolSpike bearImpulse = close < open and bodyPct >= bodyPctMin and isVolSpike zoneSize = atr * zoneATRmult // ---------- Storage ---------- var box zones = array.new_box() var float zTop = array.new_float() var float zBot = array.new_float() var int zType = array.new_int() var int zTests = array.new_int() var bool zActive = array.new_bool() // ---------- Create Zone Function ---------- create_zone(_top, _bot, _type) => b = box.new(bar_index, _top, bar_index + extendBars, _bot, bgcolor = _type == 1 ? color.new(color.green,85) : color.new(color.red,85), border_color = _type == 1 ? color.green : color.red) array.push(zones, b) array.push(zTop, _top) array.push(zBot, _bot) array.push(zType, _type) array.push(zTests, 0) array.push(zActive, true) // ---------- Zone Creation ---------- if bullImpulse create_zone(low + zoneSize, low, 1) if bearImpulse create_zone(high, high - zoneSize, -1) // ---------- Zone Management ---------- longRetestSignal = false shortRetestSignal = false zoneCount = array.size(zones) if zoneCount > 0 for i = 0 to zoneCount - 1 if array.get(zActive, i) top = array.get(zTop, i) bot = array.get(zBot, i) typ = array.get(zType, i) bx = array.get(zones, i) touched = low <= top and high >= bot if touched tests = array.get(zTests, i) + 1 array.set(zTests, i, tests) if tests <= maxRetests if typ == 1 longRetestSignal := true if typ == -1 shortRetestSignal := true if typ == 1 and close < bot array.set(zType, i, -1) box.set_bgcolor(bx, color.new(color.orange,85)) box.set_border_color(bx, color.orange) if typ == -1 and close > top array.set(zType, i, 1) box.set_bgcolor(bx, color.new(color.teal,85)) box.set_border_color(bx, color.teal) if array.get(zTests, i) > maxRetests array.set(zActive, i, false) box.set_bgcolor(bx, color.new(color.gray,92)) box.set_border_color(bx, color.gray) // ---------- Visual Signals ---------- plotshape(longRetestSignal, title="Support Retest", style=shape.triangleup, location=location.belowbar, color=color.lime, size=size.small) plotshape(shortRetestSignal, title="Resistance Retest", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small) // ---------- Alerts ---------- alertcondition(longRetestSignal, title="Support Zone Retest", message="Price retesting high-volume support zone") alertcondition(shortRetestSignal, title="Resistance Zone Retest", message="Price retesting high-volume resistance zone")
Pine Script® 인디케이터
auditorpandi의
Probability Zone - Forex KemangKey Features: ✅ Multi-Zone Detection: Fibonacci levels (bullish & bearish) Supply/Demand zones (RBD & DBR patterns) Support/Resistance (pivot points) First Candle Box (H1 range, first 3 hours) ✅ Probability Box with Percentage: BUY LINE (green) with the text "BUY X%" when the convergence zone supports buying SELL LINE (red) with the text "SELL X%" when the convergence zone supports selling Percentage 0-100% based on the number of zones that meet ✅ How it Works: The indicator scans all zones (Fibonacci, S/D, S/R) When multiple zones meet in the same area (the threshold can be adjusted) Calculates BUY/SELL probability based on zone type Creates boxes with percentage labels ✅ Customizable Settings: Minimum Probability: Only displays zones with a probability ≥ X% Zone Convergence Threshold: How close the zones should meet (0.1-2.0%) Buy, Sell, and High Probability Zone Colors ✅ Info Table (top right): Current Direction (Buy/Sell) Current Price Probability Number of Detected Zones
Pine Script® 인디케이터
forex_kemang의
Flow Divergence Column (Dominance vs Pressure) 🔥 Flow Divergence Column (Dominance vs Pressure) This is not another oscillator. This is a flow diagnostic tool built to show you when the market is aligned… and when it’s about to shift. It measures two critical forces inside every candle: 1. Dominance – Who is actually controlling the move? 2. Pressure – Who is pushing right now? When those two agree, trends expand. When they disagree, structure weakens. This indicator isolates that relationship and paints it clearly. ⸻ 🧠 High-Level Quant Explanation Markets move because of participation imbalance. Every candle contains: • Close location within the range (who finished stronger) • Volume participation (how committed they were) This tool converts those into: 1️⃣ Dominance (±100 Scale) A normalized measurement of directional control. • Above zero → buyers control. • Below zero → sellers control. • The farther from zero → the stronger the control. 2️⃣ Pressure (0–100 internal) A strength measurement of current push. • Buy pressure rising = active demand. • Sell pressure rising = active supply. Then it compares the two. That comparison is the edge. ⸻ 🎯 The Logic That Matters 🟢 Green Columns – Flow Aligned Bullish • Dominance > 0 • Buy Pressure ≥ Sell Pressure Buyers control AND they’re pushing. This is expansion mode. ⸻ 🔴 Red Columns – Flow Aligned Bearish • Dominance < 0 • Sell Pressure ≥ Buy Pressure Sellers control AND they’re pressing. Trend continuation mode. ⸻ 🟠 Orange Columns – Divergence (Warning Zone) This is where professionals pay attention. Bearish Divergence • Dominance > 0 (buyers in control) • BUT Sell Pressure > Buy Pressure Translation: Buyers still control structure… But sellers are quietly pushing. This is early warning for: • Pullback • Liquidity sweep • Possible reversal ⸻ Bullish Divergence • Dominance < 0 (sellers in control) • BUT Buy Pressure > Sell Pressure Translation: Sellers control structure… But buyers are stepping in. That’s when bottoms start forming. ⸻ 📊 Why This Works Most traders only look at momentum. This measures: • Structural control (Dominance) • Active aggression (Pressure) When they align → continuation. When they conflict → transition. Markets transition before they reverse. This tool shows that transition. ⸻ 🧠 How To Trade It This is not a standalone entry tool. This is a context engine. Use it for: • Confirming breakouts • Avoiding late entries • Spotting pullbacks early • Timing reversals • Identifying trapped traders If you see: • Orange after a strong trend → prepare. • Green after orange → continuation likely. • Orange at highs/lows → liquidity shift incoming. ⸻ 🏦 Institutional Perspective Markets move in phases: 1. Accumulation 2. Expansion 3. Distribution 4. Reversal Divergence appears between phases. This tool highlights those phase transitions using flow mechanics, not lagging indicators. ⸻ 🗣 Chart Master Mike Break Down Plain and Simple Real Talk Let me make it plain. If the market says it’s bullish… But sellers are quietly pushing… That’s tension. And tension always breaks. Green means strength. Red means control. Orange means pressure building. This tool tells you when the market is smiling… And when it’s gritting its teeth. Trade with the flow. Respect the warning. Exploit the transition. ⸻ This is not noise. This is structure meeting aggression. And that’s where the money lives.
Pine Script® 인디케이터
mikechillz의
Institutional Risk Engine v3//@version=6 strategy( "Institutional Risk Engine v3", overlay=true, initial_capital=100000, pyramiding=0, default_qty_type=strategy.percent_of_equity, default_qty_value=10, calc_on_order_fills=true) // ========================================================== // 1️⃣ MULTI-ASSET DATA // ========================================================== btc = request.security("BINANCE:BTCUSDT", timeframe.period, close) eth = request.security("BINANCE:ETHUSDT", timeframe.period, close) es = request.security("CME_MINI:ES1!", timeframe.period, close) // Returns btc_ret = math.log(btc/btc ) eth_ret = math.log(eth/eth ) es_ret = math.log(es/es ) // Volatility btc_vol = ta.stdev(btc_ret, 50) eth_vol = ta.stdev(eth_ret, 50) es_vol = ta.stdev(es_ret, 50) // Correlations corr_be = ta.correlation(btc_ret, eth_ret, 50) corr_bs = ta.correlation(btc_ret, es_ret, 50) corr_es = ta.correlation(eth_ret, es_ret, 50) // ========================================================== // 2️⃣ VOL PARITY WITH CORRELATION ADJUSTMENT // ========================================================== inv_btc = btc_vol != 0 ? 1/btc_vol : 0 inv_eth = eth_vol != 0 ? 1/eth_vol : 0 inv_es = es_vol != 0 ? 1/es_vol : 0 sum_inv = inv_btc + inv_eth + inv_es w_btc = inv_btc / sum_inv w_eth = inv_eth / sum_inv w_es = inv_es / sum_inv // Approx portfolio variance portfolio_var = ( w_btc*w_btc*btc_vol*btc_vol + w_eth*w_eth*eth_vol*eth_vol + w_es*w_es*es_vol*es_vol + 2*w_btc*w_eth*corr_be*btc_vol*eth_vol + 2*w_btc*w_es*corr_bs*btc_vol*es_vol + 2*w_eth*w_es*corr_es*eth_vol*es_vol ) // ========================================================== // 3️⃣ 12-MONTH SHARPE TARGETING (252 trading days proxy) // ========================================================== ret = math.log(close/close ) mean_ret = ta.sma(ret, 252) vol_ret = ta.stdev(ret, 252) sharpe = vol_ret != 0 ? (mean_ret / vol_ret) * math.sqrt(252) : 0 target_sharpe = 1.5 sharpe_scale = sharpe > target_sharpe ? 1 : sharpe > 1 ? 0.7 : 0.4 // ========================================================== // 4️⃣ RISK OF RUIN // ========================================================== wins = strategy.wintrades loss = strategy.losstrades total = strategy.closedtrades p = total > 0 ? wins / total : 0.5 q = 1 - p risk_per_trade = 0.01 capital_units = strategy.equity * risk_per_trade risk_of_ruin = p > q ? math.pow(q/p, capital_units) : 1 // ========================================================== // 5️⃣ PROP FIRM SURVIVAL MODEL // ========================================================== var float peak_equity = na peak_equity := na(peak_equity) ? strategy.equity : math.max(peak_equity, strategy.equity) trailing_dd = (strategy.equity - peak_equity) / peak_equity // Daily var float day_start = na new_day = ta.change(time("D")) != 0 if new_day day_start := strategy.equity daily_pnl = strategy.equity - day_start daily_loss_limit = day_start * 0.03 trailing_limit = -0.10 prop_ok = daily_pnl > -daily_loss_limit and trailing_dd > trailing_limit // Near violation compression prop_scale = trailing_dd > -0.05 ? 1 : trailing_dd > -0.08 ? 0.6 : 0.3 // ========================================================== // FINAL CAPITAL SCALING // ========================================================== base_alloc = 0.6 final_scale = base_alloc * sharpe_scale * prop_scale position_pct = final_scale * 100 // ========================== // ENTRY // ========================== long_signal = close > ta.ema(close, 20) and ta.crossover(ta.rsi(close, 6), 50) // Prop condition default (avoid empty block issues) if strategy.position_size == 0 and prop_ok if long_signal strategy.entry("LONG", strategy.long) // ========================================================== // EXIT // ========================================================== if strategy.position_size != 0 avg = strategy.position_avg_price strategy.exit("EXIT", limit = avg * 1.01, stop = avg * 0.995) // ========================================================== // DASHBOARD // ========================================================== var table dash = table.new(position.top_right, 2, 8) if barstate.islast table.cell(dash, 0, 0, "Portfolio Vol") table.cell(dash, 0, 1, "Sharpe") table.cell(dash, 1, 1, str.tostring(sharpe,"#.##")) table.cell(dash, 0, 2, "Risk of Ruin") table.cell(dash, 1, 2, str.tostring(risk_of_ruin,"#.#####")) table.cell(dash, 0, 3, "Trailing DD") table.cell(dash, 1, 3, str.tostring(trailing_dd*100,"#.##")+"%") table.cell(dash, 0, 4, "Prop OK") table.cell(dash, 1, 4, str.tostring(prop_ok)) table.cell(dash, 0, 5, "Sharpe Scale") table.cell(dash, 1, 5, str.tostring(sharpe_scale,"#.##")) table.cell(dash, 0, 6, "Prop Scale") table.cell(dash, 1, 6, str.tostring(prop_scale,"#.##")) table.cell(dash, 0, 7, "Position %") table.cell(dash, 1, 7, str.tostring(position_pct,"#.##"))
Pine Script™ 전략
bettencourt37의
ATR+HHLL+VWAP v0.+6alertBollinger Bands is a technical analysis indicator used to measure market volatility and identify potential overbought or oversold conditions. It consists of three lines plotted around a price chart: a middle line, which is typically a moving average an upper band a lower band The upper and lower bands expand when volatility increases and contract when volatility decreases. When price approaches or touches the upper band, the asset may be considered overbought. When price approaches the lower band, it may be considered oversold. Traders use Bollinger Bands to help spot possible trend reversals, breakouts, and continuation patterns.
Pine Script® 인디케이터
yosvanipupo93의
Fair Value Gap (FVG) Detector//@version=5 indicator("Fair Value Gap (FVG) Detector", overlay=true, max_boxes_count=500) // === USER INPUTS === showBullish = input.bool(true, "Show Bullish FVG") showBearish = input.bool(true, "Show Bearish FVG") removeFilled = input.bool(true, "Remove Filled Gaps") extendBars = input.int(20, "Extend Boxes (Bars)", minval=1) // === STORAGE ARRAYS === var box bullishBoxes = array.new_box() var box bearishBoxes = array.new_box() // === BULLISH FVG CONDITION === // Candle structure: low of current > high of 2 candles ago bullishFVG = low > high // === BEARISH FVG CONDITION === // Candle structure: high of current < low of 2 candles ago bearishFVG = high < low // === DRAW BULLISH FVG === if showBullish and bullishFVG top = low bottom = high newBox = box.new(left=bar_index , right=bar_index + extendBars, top=top, bottom=bottom, border_color=color.green, bgcolor=color.new(color.green, 85)) array.push(bullishBoxes, newBox) // === DRAW BEARISH FVG === if showBearish and bearishFVG top = low bottom = high newBox = box.new(left=bar_index , right=bar_index + extendBars, top=top, bottom=bottom, border_color=color.red, bgcolor=color.new(color.red, 85)) array.push(bearishBoxes, newBox) // === REMOVE FILLED GAPS === if removeFilled // Check Bullish for i = array.size(bullishBoxes) - 1 to 0 b = array.get(bullishBoxes, i) if close <= box.get_bottom(b) box.delete(b) array.remove(bullishBoxes, i) // Check Bearish for i = array.size(bearishBoxes) - 1 to 0 b = array.get(bearishBoxes, i) if close >= box.get_top(b) box.delete(b) array.remove(bearishBoxes, i)
Pine Script® 인디케이터
Akash0151의
BTC Cycle Composite IndicatorBTC Cycle Composite Indicator: A Multi-Factor Approach to Identifying Market Tops and Bottoms Introduction The Bitcoin market is characterized by distinct four-year cycles driven by halving events, yet accurately pinpointing cycle tops and bottoms remains a challenge even for experienced traders. Single indicators often generate false signals or lag significantly. The BTC Cycle Composite Indicator addresses this by integrating multiple proven on-chain metrics, technical analysis tools, and cycle-based models into a single coherent framework. Its goal is to provide traders with a probabilistic risk score that highlights periods of extreme overvaluation (potential tops) and undervaluation (potential bottoms), while filtering out noise through advanced confirmation mechanisms. Core Design Philosophy The indicator is built on a multi-factor voting system. Instead of relying on any single metric, it aggregates signals from a diverse set of independent indicators that capture different aspects of market behavior: On-chain valuation (MVRV Z-Score, Puell Multiple, CVDD, NUPL) reflects the positioning of long-term holders and miners. Technical momentum (Pi Cycle Oscillator, RSI, price deviation from moving averages) identifies price extremes. Cycle timing (halving progress, post-halving windows) anchors the analysis within the historical rhythm of Bitcoin. Market structure (Power Law channel, V/T Ratio, 15% rule) adds context about the broader macro trend. Each indicator contributes to a risk score (0–100), and only when a sufficient number of them align—and additional filters (trend, volatility, signal spacing) are satisfied—does the indicator generate a clear visual signal. Detailed Component Breakdown 1. On-Chain Metrics (Simulated for Demonstration) MVRV Z-Score: Compares market value to realized value, normalized by standard deviation. Historically, values above 7 have marked major tops, while values near 0.1 have indicated bottoms. The indicator can also use a dynamic 6‑month rolling Z‑score to adapt to changing market structure. Puell Multiple: Measures miner revenue relative to its 365‑day moving average. Extremely high values (>3.33) suggest miner over‑profitability and potential selling pressure; very low values (<0.5) signal miner capitulation and bottoms. CVDD (Cumulative Value Coin Days Destroyed): A bottom‑capture metric that tracks the dollar value of coin‑days destroyed. When price falls below the CVDD extension line, it historically marked strong accumulation zones. NUPL (Net Unrealized Profit/Loss): Gauges the aggregate profit/loss status of the market. NUPL > 0.75 corresponds to extreme greed (euphoria), while negative values indicate fear. 2. Technical Indicators Pi Cycle Oscillator: Unlike the classic Pi Cycle Top indicator that waits for a 111 SMA / 350 SMA×2 cross, this oscillator measures the percentage distance between the two moving averages. When this value exceeds a user‑defined threshold (e.g., 80%), it serves as an early warning of an overheated market. Price Deviation from 200‑day SMA: A simple yet powerful mean‑reversion tool. Deviations above +50% have historically coincided with tops, while deviations below -20% align with bottoms. RSI (14): Standard overbought/oversold levels (70/30) are used, but they are only considered in conjunction with other factors. V/T Ratio: Compares on‑chain transaction value to token velocity; extreme deviations from its moving average can signal turning points. 3. Cycle and Structural Factors Halving Progress: The indicator calculates the exact position between two consecutive halvings. Four color‑coded phases (green, lime, yellow, red) visually represent the typical market sentiment progression. Top/Bottom Windows: Historical data shows that cycle tops often occur 528–548 days after a halving, while bottoms tend to form within the first 200 days. These windows are used as soft filters. Power Law Channel Position: Based on the long‑term power law regression, prices near the upper band (>80th percentile) are considered overextended, while those near the lower band (<20th percentile) are undervalued. 15% Rule (optional): When price drops more than 15% from its 500‑day high after a series of strong bullish candles, it may indicate distribution by smart money—a supplementary top confirmation. 4. Altcoin Season Signals Bitcoin dominance (BTC.D) is monitored for sharp moves. A decline of more than 2% over 14 days suggests capital rotation into altcoins, while a rise of more than 2% indicates Bitcoin strength. These raw signals are further validated by: Price position relative to 200‑day SMA. RSI entering oversold (for alt‑season) or overbought (for BTC‑season) territory. Volume spikes (above 1.5× the 20‑day average). Candlestick patterns (hammer/bullish engulfing for buys; shooting star/bearish engulfing for sells). How the Components Work Together The indicator does not simply flash a signal when any one metric triggers. Instead, it employs a multi‑stage aggregation and filtering process: Risk Score Calculation Each of the ten top‑oriented and eight bottom‑oriented indicators votes independently. The percentage of active indicators forms the raw risk score (e.g., 7 out of 10 = 70% top risk). Weighted Adjustment (Optional) Because some indicators are more predictive during specific cycle phases, the indicator can apply dynamic weights. For example, Pi Cycle and MVRV receive higher weights in the late halving phase (red zone), while Puell and CVDD are emphasized in the early phase (green zone). Multi‑Stage Filtering Trend Filter: Signals are only considered if they align with the primary trend (price above/below 200‑day SMA). Volatility Filter: Using ATR, signals are discarded during low‑volatility consolidation unless volatility exceeds 1.2× its 20‑day average. Momentum Filter: Requires the short‑term moving average to be sloping in the direction of the signal (e.g., for a top signal, price should be above its 20‑day MA and the MA should be rising). Signal Suppression: After a signal is generated, no further signals of the same type are allowed for a user‑defined number of bars (default 20) to prevent clustering. Confirmation Bars: A signal must persist for a minimum number of consecutive bars (default 2) before being displayed. Visual Output Colored Background: The chart background gradually shifts from green (early accumulation) to red (late distribution) based on halving progress, providing an intuitive sense of cycle phase. Halving Markers: Blue vertical lines and labels mark each halving date. Cycle Top/Bottom Labels: When all filters are satisfied, a red “Cycle Top” label appears above the bar (with the current risk score), and a blue “Cycle Bottom” label appears below. Arrow Signals: Small red downward arrows (⬇️TOP) and green upward arrows (⬆️BOT) are plotted on every qualifying bar for easy spotting. Buy/Sell Signals: For altcoin‑season entries, tiny green “🪙 BUY” triangles at the bottom and orange “₿ SELL” triangles at the top are displayed. Risk Score Panel: A table in the bottom‑right corner shows the current top/bottom risk percentages and the number of triggered indicators, updated in real time. Practical Usage Recommended Settings Timeframe: Daily or weekly charts work best, as the underlying metrics are designed for medium‑ to long‑term cycles. Parameters: Most thresholds (e.g., MVRV levels, Pi Cycle oscillator threshold, minimum risk score) are adjustable. Beginners can keep the defaults; advanced users may fine‑tune based on backtesting. On‑Chain Data Source: The indicator currently uses simulated MVRV, Puell, etc., for demonstration. For live trading, replace these with real data sources such as CRYPTOCAP:BTC.MVRV or subscribe to a reliable on‑chain data provider. Interpretation A top risk score above 60 accompanied by a red background and a “Cycle Top” label suggests that multiple independent metrics are flashing warning signs. This is a signal to consider taking profits or tightening stops. A bottom risk score above 60 in the green zone with a “Cycle Bottom” label indicates a historically favorable accumulation area. The BUY/SELL signals are more tactical and may appear more frequently; they should be used in conjunction with the broader cycle context. Limitations and Disclaimer No indicator is infallible. The BTC Cycle Composite Indicator is a tool for probability assessment, not a crystal ball. Past performance does not guarantee future results. Users should always combine it with fundamental analysis, order book data, and proper risk management. The indicator’s parameters may need periodic adjustment as market dynamics evolve (e.g., the Pi Cycle oscillator threshold may drift over time). Originality and Innovation While the individual indicators are well‑known, their combination and the filtering logic are original: Dynamic weighting based on halving progress adapts the model to different cycle phases. Multi‑timeframe confirmation (optional weekly RSI check) adds an extra layer of robustness. 15% rule provides a unique structural filter for top detection. Signal suppression and momentum filters drastically reduce false positives compared to a simple “majority vote” approach. The risk score panel gives users immediate insight into the internal state of the model, fostering transparency. Conclusion The BTC Cycle Composite Indicator is designed for traders who want a comprehensive, data‑driven view of Bitcoin’s cyclical extremes. By aggregating diverse metrics and applying rigorous filtering, it aims to highlight high‑probability turning points while minimizing noise. Whether you are a long‑term investor seeking accumulation zones or a swing trader looking for trend shifts, this indicator offers a structured way to interpret the complex interplay of on‑chain, technical, and cyclical forces that drive Bitcoin’s market cycles.
Pine Script® 인디케이터
neeson1987의
Regime Dashboard (SPX / NDX / R2K / BTC / Miners / Custom) Regime Dashboard (SPX / NDX / BTC / Miners) is a market “risk regime” + breadth dashboard designed to help you avoid fighting the tape and improve timing for swings and longer holds. This indicator does not forecast price. It measures participation / trend-health in a chosen universe and converts it into a simple RISK ON / RISK OFF regime using a smoothed breadth + hysteresis (two-threshold) engine to reduce chop. What it measures (by mode) 1) SPX Breadth Uses TradingView breadth symbols for the S&P 500: % Above 200D (long-term trend participation) % Above 50D (short-term participation) 2) Nasdaq-100 Breadth Same concept, but for the Nasdaq-100: % Above 200D % Above 50D 3) BTC Trend (proxy) BTC doesn’t have “% of components above MA”, so the indicator uses a binary trend proxy: BTC > 200D SMA → 100, else 0 BTC > 50D SMA → 100, else 0 Smoothing turns this into a “persistence” metric (how consistently BTC stays above its long MA). 4) Miner Basket Breadth Builds a custom basket (e.g., MARA/RIOT/CLSK/WULF/HIVE/CIFR/IREN/BTDR/HUT) and computes: b200: % of selected miners above their own 200D SMA b50: % above their own 50D SMA Because baskets are smaller and step-like, this mode typically needs stronger smoothing/hysteresis. The 3 plotted lines 200 (raw) (red): long-term participation / trend health 50 (raw) (blue): short-term participation / momentum health Smooth(200) (white): SMA of the red line, used for regime decisions Risk regime engine (sticky + smoothed) Regime is determined by Smooth(200) with two thresholds (hysteresis): If Smooth(200) ≥ Risk-ON threshold → RISK ON If Smooth(200) ≤ Risk-OFF threshold → RISK OFF Between thresholds → regime stays the same (“sticky”) to avoid frequent flipping. HUD dashboard A compact table shows: Active mode (SPX / NDX / BTC / Miners) Current regime (RISK ON/OFF) 200 raw / 50 raw / smoothed 200 Current parameters (smoothing + thresholds) What it’s for Align trades with risk conditions Improve entry timing by waiting for breadth confirmation Avoid “bottom picking” when the market/sector is in RISK OFF Press winners harder when participation supports continuation Step-by-step: How to Use It (Playbook) Step 1 — Pick the correct mode for what you trade Use the universe that drives your ticker: Large caps / general equities: SPX Breadth Tech / growth: Nasdaq-100 Breadth Crypto exposure: BTC Trend (proxy) Miners / BTC-linked stocks: Miner Basket Breadth Rule: If your ticker is a “pack trade” (miners/biotech/spec small caps), use the pack’s breadth, not SPX alone. Step 2 — Use the regime shading as your “aggression switch” RISK ON (green background) Favor longs / adds on pullbacks Allow wider stops / longer holds Expect breakouts and trend continuation to work more often RISK OFF (red background) Reduce size, tighten risk, take profits faster Be skeptical of breakouts Bottom-fishing is lower probability; prefer waiting for regime improvement This is the core point: your strategy changes with regime. Step 3 — Understand what the lines mean (mechanically) Blue (50 raw) = short-term participation Moves first at turns Good for early “is selling pressure easing?” signals Red (200 raw) = long-term participation Defines whether the universe is broadly in a long-term uptrend vs downtrend More stable, but slower to turn White (Smooth(200)) = the decision engine Filters noise in the red line Prevents regime from flipping on small, temporary changes Step 4 — Bottom timing sequence (highest probability) For bottoms, watch the internal sequence: RISK OFF + blue line depressed → the universe is weak; rallies are often “dead-cat bounces” Blue (50) turns up (higher lows / rising trend) → early evidence the group is improving Red (200) stabilizes + Smooth(200) rises → long-term participation starts recovering Smooth(200) crosses above Risk-ON threshold → regime flips to RISK ON (confirmation that tends to last) Use it like this: Early entry attempts: only if you accept higher risk Higher-probability entries: after step 2 or step 4 depending on your style Step 5 — Trend continuation and “add points” In RISK ON: Adds on pullbacks work best when: blue line stays above ~50 and/or is rising Smooth(200) remains above the ON threshold (no loss of regime) In RISK OFF: Treat rallies as tactical unless internals improve. Step 6 — Suggested starting settings (by mode) These are starting points, not gospel. SPX / NDX SmoothLen: 3–5 ON/OFF: 55 / 35 (or similar) Miners basket SmoothLen: 7–14 (often needed because basket is step-like) ON/OFF: 60 / 40 (wider band reduces whipsaw) BTC proxy SmoothLen: 10–20 ON/OFF: depends on how strict you want “trend persistence” to be (Higher smoothing = fewer flips) Important Notes Breadth symbols vary by TradingView data access. If a symbol doesn’t exist on your plan, replace it in inputs. Miner baskets are sample-based: small baskets move in steps (e.g., 1/9 ≈ 11.1%). That’s normal. This tool is a context filter, not a standalone trading system. Use with your price structure (S/R, AVWAP, volume profile, trend MAs) for entries/exits. “Quick Start” (2 rules) Only press longs in RISK ON. When hunting bottoms, watch blue (50) turn first, then wait for Smooth(200) confirmation if you want higher win-rate.
Pine Script® 인디케이터
MPR86의
Guppy Rolling VWAP Note on VWAP (Volume Weighted Average Price) and Advantages of Multiple VWAPs Introduction to VWAP The Volume Weighted Average Price (VWAP) is a widely used technical indicator in trading, particularly for intraday strategies, that calculates the average price of a security (like a stock or index) over a specified period, weighted by the trading volume at each price level. Unlike a simple moving average (SMA), which treats all prices equally, VWAP emphasizes prices where higher volumes were traded, providing a more accurate reflection of the "true" market value during the session. Key Calculation Formula: VWAP = Σ (Price × Volume) / Σ (Volume) Price: Typically the average of high, low, and close for each bar (e.g., 1-minute or 5-minute interval). Volume: The total shares traded at that price. It resets at the start of each trading day (or session) and accumulates cumulatively, making it ideal for assessing intraday trends. On a chart, VWAP appears as a single line (often with standard deviation bands for added context), and prices above VWAP indicate bullish sentiment (buyers in control), while below suggests bearish pressure. VWAP is favored by institutional traders as a benchmark to minimize market impact when executing large orders (e.g., aiming to buy below VWAP for value). For retail intraday traders, it serves as a dynamic support/resistance level, helping time entries/exits and gauge efficiency. Advantages of Using Multiple VWAPs While a standard VWAP (daily reset) is powerful, employing multiple VWAPs—such as Anchored VWAP (AVWAP), multi-session VWAPs, or VWAPs anchored to specific events (e.g., earnings releases or highs/lows)—enhances flexibility and provides deeper insights across timeframes. Anchored VWAP, for instance, allows customization by starting the calculation from a user-defined point (e.g., a pivot high/low or news event), rather than just the session open. This "multiple" approach (plotting several VWAP lines) addresses limitations of a single VWAP in volatile or multi-day trends. Here are the key advantages: Enhanced Customization and Adaptability: Multiple VWAPs let traders anchor to specific points (e.g., weekly high or post-earnings), making them suitable for swing trading or analyzing beyond intraday. This is more versatile than a standard VWAP, which resets daily and may ignore longer-term context. Better Identification of Support/Resistance Levels: Plotting VWAPs from different anchors (e.g., one from session open, another from a recent low) creates layered zones, helping spot confluence for stronger entries/exits. In choppy markets like Bank Nifty, this reduces false signals by confirming trends across multiple lines. Improved Trend and Momentum Analysis: Combining short-term (e.g., 1-hour anchored) and long-term VWAPs reveals divergences or alignments, signaling potential reversals or continuations earlier. For example, price respecting a multi-day VWAP while bouncing off an intraday one indicates building strength. Risk Management and Benchmarking: Institutions use multiple VWAPs to compare execution quality across sessions (e.g., vs. previous day's VWAP), minimizing slippage in large trades. For retail traders, it aids in setting dynamic stops/targets, improving risk-reward ratios. Volume-Integrated Insights: Like single VWAP, multiples incorporate volume for a "truer" average, but layering them filters noise better in high-vol environments, outperforming unweighted averages like SMA. Limitations and Best Practices VWAP isn't foolproof—it can lag in low-volume periods and isn't ideal for overnight holds (as it resets). When using multiples, avoid clutter by limiting to 2-3 lines; combine with your SMA/EMA for confirmation. In your intraday setup, test on historical charts (e.g., HDFC Bank) to see how multiple VWAPs align with trends for advance signals.
Pine Script® 인디케이터
akghuf19ag24의
1
Position Dashboard + Buy/Sell SignalsPosition Dashboard with Multi-Filter Buy/Sell Signals – A Comprehensive Portfolio Management Tool for TradingView Overview This indicator bridges the gap between your actual cryptocurrency portfolio and real‑time technical analysis on TradingView. Instead of toggling between exchange accounts and charts, you can now visualise your total position value directly on your favourite chart, monitor equivalent amounts in major coins, and receive high‑confidence buy/sell signals based on a robust multi‑condition filter. The tool is designed for traders who want a holistic view of their holdings while making data‑driven entry and exit decisions. Functionality & Purpose The script serves two complementary purposes: Portfolio Dashboard Enter your holdings for BTC, ETH, SOL, DOGE, ADA, AVAX, PEPE, and any other USD‑denominated assets. Live prices are fetched from user‑defined tickers (e.g., BINANCE:BTCUSDT), and the total portfolio value is displayed in both USD and CNY. Equivalent quantities of each coin (e.g., “your total portfolio is worth X BTC”) are calculated, giving you an intuitive sense of purchasing power across different assets. A Bollinger Bands channel is applied to the total USD value, providing dynamic add (lower band) and reduce (upper band) reference levels. A simple text suggestion (“Add” / “Reduce” / “Hold”) summarises the current position relative to these bands. Multi‑Filter Buy/Sell Signals Rather than relying on a single noisy oscillator, the indicator combines several classic concepts to generate signals only when multiple conditions align: Trend filter (price vs. a long‑term EMA) ensures signals align with the dominant direction. EMA cross (price vs. a medium‑term EMA) captures momentum shifts. RSI threshold (above/below 50) prevents counter‑trend entries and avoids overbought/oversold extremes. Volume confirmation (optional) requires volume to exceed its 20‑period average, reducing false signals during low‑activity periods. Confirmation bar count – you can require that all conditions persist for 1–5 consecutive bars before a signal is drawn, effectively filtering out short‑lived spikes. All this information is neatly presented in a table anchored at the bottom centre of the chart, leaving the price action area unobstructed. How It Works (Operational Logic) Portfolio Value Calculation User Inputs – You specify the quantity of each coin you hold (non‑integer values allowed) and optionally a lump sum for “other” USD assets. Price Fetching – For each coin, the script requests the close price from the ticker you provide (e.g., BINANCE:BTCUSDT). The same is done for the USD/CNY exchange rate (primary: FX_IDC:USDCNY, fallback: FX_IDC:USDCNH). Value Aggregation – totalUsd = Σ (quantity × price) + otherUsd. The CNY value is obtained by multiplying totalUsd by the current exchange rate. Equivalent Quantities – totalUsd is divided by each coin’s price to show “your portfolio is worth X of coin Y”. Add/Reduce Reference Lines A simple Bollinger Bands calculation is performed on the totalUsd series over the user‑defined length and multiplier. Because the total value fluctuates with market prices, these bands adapt to volatility and give you objective levels for considering portfolio rebalancing. Buy/Sell Signal Generation (on the main chart symbol) The signal logic operates independently on the price of the symbol the chart is currently showing. It does not use the portfolio values for entries/exits – it only uses the chart’s own price, volume, and derived indicators. The rationale is that you may trade the symbol shown on the chart while still wanting to keep an eye on your overall portfolio in the same workspace. Trend EMA – a long‑term average (default 200) defines the broader trend. Signal EMA – a shorter average (default 50) reacts faster to price changes. Cross Conditions – a golden cross (price crosses above the signal EMA) in an uptrend becomes a buy trigger; a death cross (price crosses below the signal EMA) in a downtrend becomes a sell trigger. RSI Filter – buys are only considered if RSI is below 50 (avoiding overbought entries); sells if RSI is above 50 (avoiding oversold exits). Volume Confirmation – when enabled, the bar’s volume must exceed its 20‑bar average. Confirmation Counter – the composite condition must remain true for a user‑specified number of consecutive bars. This is the key to eliminating the majority of false starts and whip‑saws. Once all criteria are met, a green triangle up (below the bar) or a red triangle down (above the bar) is plotted. Dashboard Table On the last bar, a 2‑column, 12‑row table is drawn. It contains: Total USD value Total CNY value Equivalent quantities for BTC, ETH, SOL, DOGE, ADA, AVAX, PEPE Add level (USD) Reduce level (USD) Current text advice The table’s background is semi‑transparent black, ensuring readability without obscuring the chart. Synergy of Components While the portfolio dashboard and the buy/sell signals are logically independent, they work together to give you a complete picture: The dashboard tells you where you stand – how much capital is deployed, its distribution, and whether the total value is historically high or low relative to its own volatility (via the Bollinger Bands). The signals tell you when to act on the chart symbol – a potential entry or exit point based on proven technical principles. The add/reduce levels offer a macro perspective: if the total portfolio value is far above its upper band, it might be a sensible time to take some profits, even if the chart symbol itself hasn’t generated a sell signal yet. Conversely, a total value below the lower band could encourage bargain hunting. By integrating both views, you avoid the common pitfall of focusing only on a single coin while losing sight of your overall risk exposure. How to Use the Indicator Add the indicator to any TradingView chart (preferably a cryptocurrency pair). Input your holdings in the “Inputs” tab: Enter the exact quantities you own of BTC, ETH, SOL, DOGE, ADA, AVAX, PEPE. If you hold other assets not listed, sum their USD value and enter it under “Other Positions Value (USD)”. Verify price sources – the default tickers point to Binance USDT pairs. Adjust them if your broker uses different symbols (e.g., BITFINOX:BTCUSD). Adjust signal parameters to suit your trading style: EMA lengths, RSI levels, volume confirmation toggle, and confirmation bars. Start with the defaults and experiment on historical data to find settings that match your risk tolerance. Observe the table at the bottom centre of your chart – all portfolio metrics update in real time. Watch for buy/sell arrows – they appear only when the multi‑filter conditions are satisfied, giving you potential trade ideas for the symbol on screen. What Makes This Indicator Original? Unified Dashboard + Signals – Most indicators either track a portfolio or give signals; this one does both in a clean, non‑intrusive layout. Multi‑Layer Filtering – The combination of trend, cross, RSI, volume, and consecutive‑bar confirmation is deliberately chosen to reduce noise without sacrificing responsiveness. The confirmation‑bar parameter alone lets you fine‑tune the trade‑off between timeliness and reliability. Adaptive Add/Reduce Levels – By applying Bollinger Bands to the total portfolio value, the indicator provides a custom rebalancing guide that adjusts to market volatility – a feature rarely seen in public scripts. User‑Configurable Price Sources – You are not locked into a single exchange; the tickers can point to any TradingView‑supported symbol, making the tool exchange‑agnostic. Bottom‑Centred Table – The placement respects your chart real estate while keeping all critical numbers visible at a glance. Important Considerations & Disclaimer No Performance Guarantees – The signals are derived from historical price patterns and common technical indicators. They are not a promise of future profits. Always conduct your own analysis and consider risk management. Data Reliability – The script relies on the availability and accuracy of the price feeds you specify. If a ticker becomes invalid, the corresponding value will show as N/A. Parameter Optimisation – The default values are reasonable starting points, but every trader and market behaves differently. Use the strategy tester or back‑testing features in TradingView to evaluate how the signals would have performed in the past with your chosen settings. Portfolio Values ≠ Trading Capital – The total portfolio value displayed includes all entered holdings, whether or not you intend to trade them. Do not confuse this with your active trading account balance. Use as a Decision‑Support Tool – This indicator is designed to assist, not replace, your own judgment. Markets can be unpredictable; always use stop‑losses and position sizing. By merging real‑time portfolio tracking with technically sound entry/exit signals, this indicator offers a practical solution for traders who want to keep one eye on their overall exposure and the other on the next potential move. Its modular design and extensive configurability make it suitable for both beginners and experienced traders alike.
Pine Script® 인디케이터
neeson1987의
SPX Sector AD + Iceberg TICKThis indicator is a "Market Internals" engine designed to reveal the true strength of S&P 500 moves. By looking under the hood of the index, it helps traders distinguish between broad market participation and rallies driven solely by heavyweights (the "Magnificent 7"). It combines three powerful concepts into a single pane: Sector Breadth, Buying Aggression (TICK), and Trend Following. 1. The Core: Weighted vs. Unweighted Divergence Weighted Histogram (The Generals): Represents the S&P 500 performance based on sector market cap (e.g., Tech/XLK has a ~33% impact, while Utilities/XLU has ~2%). When these bars are strong, the mega-caps are moving. Unweighted Line (The Soldiers): Represents the average performance of all 11 sectors equally. When this line rises, there is broad market participation. The Edge: Spot divergences. If the Weighted Bars are rising but the Unweighted Line is falling, the rally is narrow and potentially fragile (a "General's Rally"). 2. The Iceberg: Cumulative TICK A scaled cumulative TICK line is plotted in the background (the "Iceberg"). This visualizes the raw buying vs. selling aggression on the NYSE throughout the session. Green Iceberg: Persistent buying pressure / accumulation. Red Iceberg: Persistent selling pressure / distribution. 3. The Signal: Breadth Trend Instead of generating signals on price, this script applies ATR Trailing Stop logic directly to the Weighted AD Line. Buy Signal (B): Triggers when the internal sector strength breaks above its own volatility band. Sell Signal (S): Triggers when sector momentum breaks down. This often provides an earlier warning of trend changes than price action alone. How to Use Bullish Confirmation: Price is rising + Green Histogram + Green Iceberg + Unweighted Line rising. Bearish Divergence: Price makes a new High, but the Breadth Bot prints a lower High or a Sell signal. Rotation: If the Histogram is flat but the Unweighted Line is ripping higher, capital is rotating from Mega Caps into the broader market. Settings: Includes customizable weights for all 11 SPDR Sectors. Adjustable "Visual Divisor" for the TICK to fit it perfectly behind your sector data. Customizable ATR settings for the Breadth signals.
Pine Script® 인디케이터
nellutla의
High-Prob SMC: MSS + FVG RetestThe Institutional Footprint: High-Probability SMC Engine Stop chasing the market and start trading where the orders are actually sitting. While most indicators tell you what happened, the High-Probability SMC Engine reveals where the market is imbalanced and where "Big Money" is forced to return. This isn't just a signal generator—it’s a precision tool designed to filter out retail "breakout traps" and wait for the high-conviction Mitigation Phase. Why This Engine is Your Unfair Advantage * The "Smart Money" Filter: Most traders buy the initial breakout and get caught in a "fakeout." This engine identifies the Market Structure Shift (MSS) but stays patient, waiting for the price to return to "fair value" before signaling an entry. * FVG Magnet Logic: It automatically maps Fair Value Gaps (FVG)—the literal footprints of institutional displacement. These are the zones where price is most likely to react with explosive force as orders are filled. * Precision Retest Entry: It eliminates FOMO (Fear Of Missing Out) by triggering only when the price retests the FVG. This gives you a tighter stop-loss and a massive mathematical edge. * Volatility-Adjusted Risk: The script uses dynamic ATR-based logic to calculate your Stop Loss and Take Profit in real-time. No more guessing where to exit; the math is handled for you based on current market behavior. The "Golden Setup" Execution * The Impulse: The script detects an aggressive break of a 20-period high or low—the Institutional Signature. * The Void: A highlighted Green or Red zone appears, marking an unfilled order block that the market must address. * The Sniper Entry: You wait for the price to "fill the gap." When the price touches that zone, the engine prints your ENTRY label with exact coordinates for your Stop and Target. Master the Market Mathematics This indicator is built on the principle of Mean Reversion within Trend. By combining structure shifts with price imbalances, you are essentially trading with the wind at your back. It forces you to be a disciplined sniper, taking only the trades that have the highest probability of an explosive continuation move. > "Retail traders trade the break. Professionals trade the retest of the imbalance." > Ready to see the market through a professional lens? Attach the SMC Engine to your chart and stop guessing where the next move starts.
Pine Script® 인디케이터
mueleezytrade의
17