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hap adxAdaptive ADX & DI Color Bars – Indicator Description This indicator is an advanced ADX-based momentum and trend strength visualizer. Instead of displaying raw ADX and DI values only, it dynamically changes bar colors based on the relationship between ADX, +DI, and −DI, making market conditions instantly readable. Core Logic: - Rising ADX indicates increasing momentum and trend strength - Falling ADX signals weakening trend or transition to range - +DI vs −DI defines bullish or bearish directional control Color States: Strong Bullish Trend: - ADX is rising - +DI is above −DI - Shows strong bullish momentum and trend continuation Weak / Early Bullish: - +DI above −DI - ADX flat or weakening - Trend exists but momentum is not fully confirmed Strong Bearish Trend: - ADX is rising - −DI is above +DI - Strong bearish dominance and continuation Weak / Early Bearish: - −DI above +DI - ADX weakening - Selling pressure exists but momentum is fading No-Trade / Range Zone: - ADX is low or clearly declining - +DI and −DI are close or frequently crossing - Market is ranging or indecisive Why This Indicator Is Useful: - Removes the need to interpret raw ADX values - Visually highlights trend strength, weakness, and transitions - Helps avoid low-quality trades during weak momentum - Works perfectly as a trend filter for scalping, day trading, and swing trading Best Use Cases: - Trend confirmation - Momentum filtering - Entry quality validation - Avoiding false breakouts in low ADX conditions
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onderarslantas107 tarafından
ETH - Log Regression BandsETH – Log Regression Bands: Detailed Description (Math + How to Use) Overview This indicator plots a long-term “fair value” growth curve for ETH and surrounds it with multiple upper and lower bands. The goal is to estimate where price sits relative to a long-term trend that is best interpreted in **logarithmic (percentage) terms**, not raw dollars. The bands create clear zones showing when ETH is historically cheap or expensive relative to that long-term curve. --- Why use logarithms? Price action is typically more meaningful in **percentage moves** than in absolute dollar moves. * A move from $100 → $200 is +100% * A move from $2000 → $2100 is only +5% By modelling the natural logarithm of price, multiplicative growth becomes additive. That makes long-term growth easier to model and band spacing more consistent across very different price regimes. So instead of modelling (P), the indicator models: --- The growth model: Power-law curve The indicator uses “time since inception” as the x-axis. However, rather than using time directly, it uses the logarithm of time: where (t) is the number of days (or bars) since the first data point. It then fits a straight-line model in log-log space: Substituting back in: Exponentiating both sides gives the curve in normal price units: This is a **power-law** trend curve. It naturally produces a smooth, slowly bending long-term curve similar to the “log regression” curves often seen in macro crypto reports. --- What “expanding regression” means The model uses all data available from the beginning of the chart up to the current bar. That means: * Early in the asset’s history the curve can change more because there are fewer points. * Over time the curve becomes more stable as more history is included. Important note: this does **not** repaint past bars. It simply means the current curve will update as new data comes in. --- Measuring “typical deviation” from the curve (residual volatility) Once the trend curve is fitted in log space, the indicator measures how far price typically wanders away from it. At any time point: * Actual log price is (y = \ln(P)) * Predicted log price from the curve is (\hat{y} = a + b\ln(t)) The **residual** is: The indicator computes the standard deviation of these residuals: This (\sigma) is a measure of typical “distance from trend” in log terms. --- Building the bands (the key idea) The bands are evenly spaced in **log space** using multiples of (\sigma). A band number (k) is created by shifting the log-trend up or down: Upper band (k): Lower band (k): Where: * (k) is the band number (1, 2, 3, …) * (s) is a user-chosen spacing factor (band spacing) * (\sigma) is the residual standard deviation Converting back to normal price: Upper band (k): Lower band (k): Why bands look like “translated copies” Because shifting by a constant in log space equals multiplying by a constant in price space: So the bands are the same underlying curve scaled up or down by fixed multipliers. That produces the smooth “stacked curve” look associated with macro log regression charts. --- Optional curve shift (manual adjustment) A manual offset can be applied in log space. This is useful if you want to align the entire structure slightly higher or lower. Because the shift is applied to (\ln(P)), this is not an additive dollar adjustment. It scales the entire curve by a constant factor: * Positive shift → multiplies all bands upward * Negative shift → multiplies all bands downward --- How to interpret the zones The base curve represents a long-term “trend center” in log-growth terms. * Price near the base curve → near long-term trend * Price in upper bands → expensive relative to long-term trend * Price in lower bands → cheap relative to long-term trend Because the bands are built using residual volatility in log space, “cheap/expensive” is measured in a way that remains meaningful across different eras and price levels. --- Long-term buy zones (Lower 1 and Lower 2) **Lower 1** and **Lower 2** are intended as **long-term accumulation zones**. When ETH trades in these zones, it is significantly below the long-term growth curve in log terms, which typically corresponds to: * deep bear markets, * high fear / capitulation phases, * long accumulation periods. A simple long-term framework many users apply: * **Accumulate gradually when price enters Lower 1** * **Accumulate more aggressively when price enters Lower 2** * Reduce risk / take profits progressively in higher upper bands These are not guarantees — they are **statistical “distance from trend” zones**, designed to help structure long-term decisions. --- ## Notes / limitations * This indicator is a **macro trend tool**, not an intraday trading system. * The curve is derived from historical behavior; it can shift slowly as new data arrives. * Extremely new market regimes or structural changes can reduce reliability. * Use alongside risk management and additional confirmation if trading. ---
Pine Script® göstergesi
Giovanni_Ambrosio tarafından
james S/R Trend Pro v6//@version=6 strategy("james S/R Trend Pro v6", overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.05, slippage=1) // --- 사용자 입력 (Inputs) --- group_date = "1. 백테스트 기간" start_date = input.time(timestamp("2024-01-01 00:00:00"), "시작일", group=group_date) end_date = input.time(timestamp("2026-12-31 23:59:59"), "종료일", group=group_date) is_within_date = time >= start_date and time <= end_date group_main = "2. 지표 설정 (S/R & Trend)" lookback_sr = input.int(15, "지지/저항 탐색 기간", minval=5, group=group_main) atr_period = input.int(14, "ATR 기간", group=group_main) atr_mult = input.float(3.5, "추세선 민감도", step=0.1, group=group_main) group_color = "3. 다크모드 색상 설정" trend_up_color = input.color(color.rgb(200, 200, 200), "상승 추세선 (밝은 회색)", group=group_color) trend_down_color = input.color(color.rgb(255, 255, 255), "하락 추세선 (흰색)", group=group_color) res_color = input.color(#ff1100, "저항선 (네온 레드)", group=group_color) sup_color = input.color(#00e1ff, "지지선 (네온 사이언)", group=group_color) // --- 데이터 처리 (Calculations) --- // 1. 추세선 (검은색 배경용 고대비 설정) = ta.supertrend(atr_mult, atr_period) // 2. 지지/저항선 (피벗 기반) ph = ta.pivothigh(high, lookback_sr, lookback_sr) pl = ta.pivotlow(low, lookback_sr, lookback_sr) var float res_line = na var float sup_line = na if not na(ph) res_line := high if not na(pl) sup_line := low // --- 전략 로직 (Condition) --- long_condition = direction < 0 and ta.crossover(close, sup_line) short_condition = direction > 0 and ta.crossunder(close, res_line) // --- 주문 실행 (Execution) --- if is_within_date if long_condition strategy.entry("Long", strategy.long, comment="BUY") if short_condition strategy.entry("Short", strategy.short, comment="SHORT") // 청산 로직 if strategy.position_size > 0 strategy.exit("TP-L", "Long", limit=res_line, qty_percent=50, comment="분할익절") if ta.crossunder(close, trend_line) strategy.close("Long", comment="추세이탈") if strategy.position_size < 0 strategy.exit("TP-S", "Short", limit=sup_line, qty_percent=50, comment="분할익절") if ta.crossover(close, trend_line) strategy.close("Short", comment="추세이탈") // --- 시각화 (Visualization - 다크 모드 최적화) --- // 1. 추세선: 검은 배경에서 잘 보이도록 하얀색/회색 계열 사용 plot(trend_line, color=direction < 0 ? trend_up_color : trend_down_color, linewidth=2, title="Trend Line") // 2. 지지/저항선: 네온 컬러로 시인성 극대화 plot(res_line, color=color.new(res_color, 0), style=plot.style_linebr, linewidth=2, title="Resistance") plot(sup_line, color=color.new(sup_color, 0), style=plot.style_linebr, linewidth=2, title="Support") // 3. 진입 시그널 라벨 plotshape(long_condition, style=shape.triangleup, location=location.belowbar, color=sup_color, size=size.small, title="Buy Label") plotshape(short_condition, style=shape.triangledown, location=location.abovebar, color=res_color, size=size.small, title="Short Label") // 4. 추세 배경색 (매우 옅게 설정하여 캔들을 방해하지 않음) fill_color = direction < 0 ? color.new(sup_color, 90) : color.new(res_color, 90) fill(plot(trend_line), plot(close), color=fill_color, title="Trend Fill")
Pine Script® stratejisi
Kingjmaes tarafından
SUMA VuManChu Cipher B Revised to V6// This indicator is an updated version of the original WuManChu Cipher B indicator, I updated it to v6 and fixed a few things that were no longer supported in v6 from the original v3 or v4. // I also made the RSI and Stoch to fully comedown to the bottom of the display panel to reflect what the rest of the parameters are doing, I adjusted the money flow to be more sensitive. // I tried to leave the logic as it was original intended to be used, // I renamed and put everything together, it was a bit challenging but Cipher B is such a great indicator that I think it deserved the update and the time I put into it.
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Tulip-Bullrun tarafından
eBacktesting: MultieBacktesting: Multi is an all-in-one chart toolkit built for structured day-trading study: multi-timeframe levels, “clean” movement zones, session context, bias, candle normalization, gaps, and a powerful alert system — all from one indicator. What it can show on your chart 1) Multi-timeframe Support/Resistance (S/R) markup - Detects and plots S/R levels from up to 8 configurable timeframes (mix HTF + LTF). - Optional labeling styles: Simple, Type (S/R), or Directional. - Optional price labels next to levels. - Levels cleanup (decongestion): hides clustered levels to keep the chart readable - Grouping: can group timeframes that share the same level into a single line. - Level invalidation: levels can disappear after X passthroughs (with a “getting weaker” dashed style when close to invalidation). 2) Psychological levels (round numbers) - Automatically draws round-number lines at a practical interval (with optional manual interval control). - Has smart defaults for common markets (e.g., indices, BTC, metals). 3) Levels heatmap - Shows level density as shaded “pressure areas”: areas where an agglomeration of S/R levels are present - Can be simple or persisted (so you can study where price repeatedly reacts) 4) Repeated levels highlight - Highlights “same area again” levels using a tolerance setting. - Can require same direction (support with support / resistance with resistance) or allow any direction. 5) LTAs (Low Traffic Areas) - Marks “air pockets” between levels where price can travel fast. - Can be built from: - S/R spacing (between detected levels), or - Candle sequences (clean directional runs). - Optional filters: - By how “untouched” the boundary levels are (passthrough filter) - By number of candles - By size (points) 6) Clean zones (candle-based) - Detects strong same-direction runs and boxes them as “clean zones” for study and backtesting practice. 7) Session Bias - Computes a bias score from selected timeframes and shows it as a %. - Can be weighted, inverted weight, or not weighted across timeframes (e.g. HTF candles having more weight towards bias calculation). - Optional color coded “bias candles” overlay + option to dim weak candles so the signal is clearer. - Alert when bias flips bullish/bearish/neutral. 8) Candles tools - Smooth candles: removes candle gaps by drawing candles with open = previous close (useful for price action analysis). - Ghost current candle: de-emphasizes the still-forming candle until it’s near completion (useful for not going in FOMO). - Highlight no-wick candles: helps spot strong displacement / clean opens/closes. - Snap candles: rounds candles to a chosen interval (ATR % or fixed), for cleaner structure reading. - Optional candle stats: ATR & Average candle size - Candle score: rates the last candle’s strength (body/wicks/size + context), useful for quick quality checks. - Gaps: highlights unfilled gaps and optionally removes them once filled. 9) Sessions - Up to 4 customizable sessions, each with its own color and optional background highlight. - Option to hide candles outside session hours (great for focused session study). 10) Notifications - Before session start alerts (X minutes early). - Before session end alerts (X minutes early). - Closing beyond detected S/R levels - Closing beyond custom prices: type your prices (one per line) - Proximity allowance + “advance notice” option for getting notified 30s/1m/5m before the candle closes based on your preferences - Timer alerts (“check chart every X minutes”) with a custom message template. eBacktesting integration (the important part) This indicator fully integrates with the eBacktesting extension to automatically detect “important moments” during backtesting, so it can auto-pause, tag, and allow you to practice them step-by-step. - When bias changed - When a candle closed beyond an automatically detected S/R level - When a candle closed beyond your custom price - When new LTAs & clean zones are detected or invalidated These indicator is built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance. Educational use only. Not financial advice.
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eBacktesting tarafından
SA Range Rank JNJ.WEEK. 1.15.2026Signal Architect™ — Developer Note Weekly These daily posts are intentional. They are not meant to showcase wins, targets, or outcomes. They are designed to help viewers observe consistency in market behavior—specifically how structure, range, and reaction repeat across different products and timeframes. The value is not in catching every move. The value is in knowing when participation is unnecessary or unsupported. Signal Architect™ tools are built to help traders avoid low-quality decisions, not to encourage constant activity. ________________________________________ What These Posts Are Demonstrating Over time, if you observe these posts across equities and futures, you’ll begin to notice: • The same structural traps repeat across different instruments • The same reactions occur across multiple timeframes • The same stop-run and absorption behaviors appear regardless of volatility That repetition is not coincidence. It reflects how markets consistently behave, even as prices change. The goal of these posts is to make that behavior familiar— because familiarity reduces hesitation, overtrading, and unnecessary loss. Consistency is not the outcome. Consistency is the environment. ________________________________________ What You’re Seeing (Public View) These charts display a limited visual preview of tools within the Signal Architect™ framework. Only visual context is shown. Core logic, calculations, thresholds, and execution rules are intentionally not disclosed. The tools emphasize: • Market structure over prediction • Environmental awareness over signals • Risk framing over reward chasing Nothing shown publicly is meant to tell you what to trade. It is meant to help you recognize when not to trade. ________________________________________ Why This Matters Most losses do not come from being wrong on direction. They come from participating: • too early • too late • during transitions • inside structural traps Signal Architect™ tools are designed to filter those moments out. In many cases, the highest-value action is: • standing aside • reducing size • waiting for clarity Saving capital is part of execution. Avoiding a bad trade is often more valuable than finding a good one. ________________________________________ Background & Scope (Context Only) Over the years, I’ve developed a wide range of systems and analytical tools spanning: • Equities • Futures • Options structure • Portfolio construction and allocation logic This includes extensive work on rule-based, tightly controlled frameworks designed to function across changing market conditions. None of that internal logic is shared publicly. These posts exist strictly for education, observation, and pattern recognition—not advice, not signals, and not promises. ________________________________________ 🤝 For Those Who Find Value If these daily posts help you see the market more clearly: • Follow, boost, and share my scripts, Ideas, and MINDS posts • Feel free to message me directly with questions or build requests • Constructive feedback and collaboration are always welcome For traders who want to go deeper, optional memberships may include: • Additional signal access • Early previews • Occasional free tools and upgrades 🔗 Membership & Signals trianchor.gumroad.com ________________________________________ ⚠️ Final Note Everything published publicly is educational and analytical only. Markets carry risk. Discipline, patience, and risk management always come first. Watch the consistency. Study the structure. Let the market repeat itself. — Signal Architect™ ________________________________________ 🔗 Personally Developed GPT Tools • AuctionFlow GPT chatgpt.com • Signal Architect™ Gamma Desk – Market Intelligence chatgpt.com • Gamma Squeeze Watchtower™ chatgpt.com Weekly (W) — Strategic Regime / “Where price is allowed to live” Goal: Identify the dominant direction + structural permission for the entire week(s). How to use: • Treat weekly RECLAIM as regime confirmation, not an entry. • If weekly prints Bull RECLAIM, favor long participation on lower timeframes until weekly invalidates. • If weekly prints Bear RECLAIM, same idea but short-biased. Best behavior to look for: • 1–2 reclaim signals per month/quarter. • Use it as a “macro gate.” Recommended settings (starting point): • dispMult 1.2–1.6 • reclaimWindow 20–40 • cooldown 8–20 🟣 WEEKLY — Macro Regime & Liquidity Clearing 1️⃣ Range Indicator (RI) • <30 → long-term compression (energy building) • >70 → macro expansion (trend regime active) Use: Defines whether markets are coiling or trending on a multi-month scale. ________________________________________ 2️⃣ ZoneEngine (Structure) • Identifies macro structural bias • Explains why certain weekly moves fail or accelerate Use: Never fight weekly structure. This is your “market weather.” ________________________________________ 3️⃣ Cloud / Reclaim (Behavior) • Clouds classify regime state, not entries • Reclaims are informational only on weekly Use: Helps label the regime: continuation vs transition. ________________________________________ 4️⃣ Stop-Hunt Proxy • Represents large-scale liquidity clearing • Often tied to: o fund rebalancing o regime shifts o macro events Use: Context only. Weekly stop-hunts explain why a regime changed — they are not trades.
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SignalArchitecT_AI tarafından
Simple Trend Context [Wall_Journey]Simple Trend Context MA: Dynamic Market Bias Visualizer Overview The Simple Trend Context MA is a visual-oriented trading tool designed to identify the prevailing market trend at a glance. By utilizing two Simple Moving Averages (Fast and Slow), this script provides a clear "Context" for your trades, helping you avoid trading against the primary momentum. How it Works The indicator calculates two key SMA periods: Fast MA (Default: 20) : Captures short-term momentum. Slow MA (Default: 50) : Represents the broader trend direction. Key Features Dynamic Background Shading: The chart background automatically changes color based on the trend. A Green background indicates a Bullish trend (Fast MA > Slow MA), while a Red background indicates a Bearish trend (Fast MA < Slow MA). Real-time Trend Label: A dynamic label appears on the most recent bar, explicitly stating the current market context (Bullish, Bearish, or Neutral). Highly Customizable: You can easily adjust the MA lengths to suit your specific strategy, whether you are scalping or swing trading. Why use this? Many traders fail because they lose sight of the "Big Picture." This script ensures that the trend context is always visible, serving as a powerful filter for your entry signals.
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Wall_Journey tarafından
ORB (x2) by jaXn# ORB (x2) Professional Suite ## 🚀 Unleash the Power of Precision Range Trading **ORB (x2)** isn't just another breakout indicator—it is a complete **Opening Range Breakout workspace** designed for professional traders who demand flexibility, precision, and chart cleanliness. Whether you are trading Indices, Forex, or Commodities, the Opening Range is often the most critical level of the day. This suite allows you to master these levels by tracking **two independent ranges** simultaneously, giving you a distinctive edge. ## 🔥 Why choose ORB (x2)? Most indicators force you to choose one specific time. **ORB (x2)** breaks these limits. ### 🌎 1. Multi-Session Mastery (London & New York) Trade the world's biggest liquidity pools. Set **ORB 1** for the **London Open** (e.g., 03:00–03:05 EST) and **ORB 2** for the **New York Open** (09:30–09:35 EST). Watch how price reacts to London levels later in the New York session. ### ⏱️ 2. Multi-Strategy Stacking (The "Fractal" Approach) This is a game-changer for intraday setups. Instead of two different times, track **two different durations** for the *same* open. * **Setup:** Configure **ORB 1** as the classic **5-minute range** (09:30–09:35). * **Setup:** Configure **ORB 2** as the statistically significant **15-minute or 30-minute range** (09:30–10:00). * **Result:** You now see immediate scalping levels *and* major trend reversals levels on the same chart, automatically. ### 🎯 3. "Plot Until" Tech: Keep Your Chart Clean Sick of lines extending infinitely into the void? Our exclusive **"Plot Until"** feature separates the signal from the noise. You define exactly when the trade idea invalidates. * *Example:* Plot the 09:30 levels only until 12:00 (Lunch). * The script intelligently cuts the lines off at your exact minute, ensuring your chart is ready for the afternoon session without morning clutter. ### ⚡ Precision Engine We use a dedicated "Precision Timeframe" input. Even if you are viewing a 1-hour or 4-hour chart to see the big picture, ORB (x2) can fetch data from the **1-minute** timeframe to calculate the *exact* high and low of the opening range. No more "repainting" or guessing where the wick was. ## 🛠 Feature Breakdown * **Dual Independent Engines:** Fully separate Color, Style, Time, and Cutoff settings for both ORB 1 and ORB 2. * **Absolute Time Cutoff:** Lines obey day boundaries perfectly. A cutoff at 16:00 means 16:00, not "whenever the next bar closes". * **Style Control:** Visually distinguish between your "Scalp" ORB (e.g., Dotted Lines) and your "Trend" ORB (e.g., Solid Thick Lines). * **Performance Mode:** Adjustable "Lookback Days" limits history to keep your chart lightning fast. ## 💡 Configuration Examples **The "Double Barrel" (Standard Stock + Futures)** * *ORB 1:* `0930-0935` (5 min) - The immediate reaction. * *ORB 2:* `0930-1000` (30 min) - The institutional trend setter. **The "Transatlantic" (Forex/Indices)** * *ORB 1:* `0800-0805` (London Open) - European liquidity. * *ORB 2:* `1330-1335` (NY Open) - US liquidity injection. ## ⚠️ Disclaimer Trading involves substantial risk. This tool helps visualize critical price levels but does not guarantee profits. Always combine with proper risk management and your own analysis.
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jacksenn tarafından
Multi-Filter Momentum Candle Strategy (Non-Repaint)Momentum Candle Precision Scanner is a price action–based indicator designed to detect high-quality momentum candles after consolidation phases. It combines candle structure analysis, volume confirmation, ATR control, consolidation filtering, and higher timeframe EMA trend alignment to reduce false signals. ⚠️ This indicator is NOT standalone and MUST be used together with an external RSI indicator. RSI is intentionally not included in the script to allow traders full flexibility in choosing their preferred RSI settings. 🎯 Purpose This indicator helps traders: Identify valid impulsive candles, not just large candles Avoid entries during sideways or consolidation zones Trade in alignment with the higher timeframe trend Improve entry selectivity through a scoring-based validation system ⚙️ Core Logic Explained 1️⃣ Momentum Candle Structure Candle body must fall within a predefined pip range Minimum body-to-range ratio is required Upper and lower wick percentages are strictly limited This helps filter out candles caused by noise or fake breakouts. 2️⃣ Volume Confirmation Current volume must be above its moving average Ensures momentum is supported by market participation 3️⃣ ATR-Based Control Candle body size is capped using ATR Prevents signals during abnormal volatility spikes (e.g., news events) 4️⃣ Consolidation Filter (Box & Core Zone) A dynamic price box is built from recent candles Signals are ignored inside the core consolidation zone Focuses entries on breakout or expansion phases 5️⃣ Scoring System Each candle is evaluated using a weighted score: Candle body quality Wick structure Volume strength ATR validity Position relative to consolidation Signals are triggered only when the minimum score threshold is met. 📈 Trend Filtering (EMA HTF & Current TF) Higher Timeframe EMA defines the main trend direction Current Timeframe EMA reflects local momentum Options available: Trade with HTF trend only Or allow counter-trend signals (user controlled) 🚨 Alert Feature Alerts can trigger minutes before candle close Designed for traders who wait for near-close confirmation ⚠️ IMPORTANT – RSI IS REQUIRED This indicator does NOT include RSI internally. 📌 You must add an external RSI indicator and use it as: Additional momentum confirmation Overbought / oversold filter Trend strength validation 👉 General RSI usage example: Buy setups → RSI above 50 and strengthening Sell setups → RSI below 50 and weakening (Users are free to adapt RSI settings to their own strategy.) 🛠️ Recommended Usage Best suited for M5 Optimized for XAUUSD Can be adapted to other instruments by adjusting pip size 📌 Disclaimer This indicator is a technical analysis tool, not a trading system. No guarantees of profitability. Always apply proper risk management, RSI confirmation, and personal backtesting before live trading.
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stefardian tarafından
Time Cycles# Time Cycles Indicator **Time Cycles Indicator** is a time-based visualization tool designed to map repeating market rhythms as smooth arches in a separate pane. Rather than reacting to price, the script focuses purely on **time cycles**, helping you visualize potential **liquidity flow, expansion, and contraction phases** across the chart. --- ## 🔁 What This Indicator Does - Translates a user-defined **time cycle (in days)** into repeating **semi-circular arches** - Anchors cycles to a **fixed start date** - Displays cycles in a **clean, price-independent pane** - **Projects cycles forward into the future** (e.g. 6 months) so you can anticipate upcoming time windows - Designed to complement **structure, liquidity, and narrative-based analysis** --- ## 🧠 How It Works Each cycle is mathematically modeled as a **semicircle**: - Start of cycle → low energy - Mid-cycle → peak / expansion - End of cycle → decay / reset This produces a smooth “arch” that visually represents **temporal momentum**, independent of market volatility. --- ## ⚙️ Key Settings ### Cycle Settings - **Start Date (UTC)** – Anchor point for all cycles - **Period (Days)** – Length of each cycle (supports decimals) - **Phase Shift (Days)** – Slide cycles forward or backward in time - **Plot Only After Start Date** – Ignore cycles before the anchor ### Visual Controls - **Amplitude** – Vertical scale of the arches - **Baseline** – Vertical offset for positioning - **Invert** – Flip arches into valleys - **Baseline Guide** – Optional reference line - **Shaded Fill** – Visual emphasis of cycle energy ### Forward Projection - **Project Forward** – Enable future cycle rendering - **Forward Distance (Days)** – How far into the future to extend (default ≈ 6 months) - **Step Size (Days)** – Smoothness vs performance control --- ## 📈 How to Use It - Pair with **market structure**, **VWAP**, **HTF levels**, or **liquidation maps** - Watch for **confluence** between cycle peaks/troughs and price events - Use forward projections to anticipate **time-based inflection zones** - Works across all markets and timeframes --- ## ⚠️ Important Notes - This is **not a price predictor** - Cycles represent **time windows**, not directional bias - Best used as a **contextual overlay**, not a standalone signal --- ## 🧩 Ideal For - Liquidity & narrative traders - Time-cycle analysts - Macro rhythm mapping - Traders who believe *“time reveals structure before price does”* --- *Time does not repeat — but it often rhymes.*
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tjvsx tarafından
Anchored PVI + NVIAnchored PVI + NVI is a single-pane indicator that allows the Positive Volume Index (PVI) and Negative Volume Index (NVI) to be plotted together using a period-anchored approach. Crucially, the EMAs for each series are included and remain analytically valid under the anchoring process. PVI and NVI are cumulative, path dependent indicators. Over long histories, their absolute values become arbitrary and often incomparable when plotted side-by-side . This script addresses that limitation by anchoring each indicator to a user-defined period (daily, weekly, monthly, etc.) and plotting their relative change from that baseline rather than their raw values. The result is a clean, comparable view that preserves each indicator’s internal structure (trends, inflections, divergences, and EMA relationships) while minimizing scale conflicts. **What Are PVI and NVI? (Quick Explanation)** PVI and NVI separate price behavior based on changes in participation, not raw volume flow. - Positive Volume Index (PVI) updates only on bars where volume increases relative to the prior bar. It tracks price movement during expanding participation, often associated with broad market involvement. - Negative Volume Index (NVI) updates only on bars where volume decreases relative to the prior bar. It tracks price movement during contracting participation, often associated with quieter or more selective activity. Both indicators accumulate percentage price changes, but only under their respective volume conditions. Rather than asking “Is volume high or low?” , they ask: "How does price behave when participation expands versus when it contracts?" More detailed guidance and interpretation can be found further down the publication description for users unfamiliar with the practical uses of PVI and NVI. **How The Script Works** At the start of each selected anchor period, the script records the current PVI and NVI values as baselines. All subsequent values within that period are plotted as changes relative to those baselines: - Percent mode plots the percentage change from the baseline. - Absolute mode plots the absolute change from the baseline. This is not normalization or rescaling. The time-based shape of each series is preserved within the anchor window. The EMAs are calculated on the original, full-history PVI and NVI series, then transformed using the same anchored reference frame. This faithfully preserves relative positioning between each index and its EMA, EMA slope behavior, and EMA crossover timing. Optional anchor markers and a zero line help visualize resets and behavior relative to the period’s starting point. **Advantages vs Using PVI and NVI Separately** - Faster visual assessment: Participation-conditioned price behavior can be evaluated at a glance without mentally reconciling separate scales or panes. - Potential for Extended Interpretation: A shared baseline introduces a form of relative comparability that does not exist when the indicators are plotted independently. - Cleaner workflow: One indicator, one pane, and less chart clutter. **Conventional Interpretation and Guidance** Anchored PVI and NVI should be interpreted relative to the zero line, their own EMAs, and each other, always within the context of the current anchor period - NOT across periods. Values above zero indicate net positive price movement since the anchor began under the indicator’s respective volume condition. Values below zero indicate net negative movement. Because PVI and NVI update under different participation regimes, their behavior provides complementary context rather than redundant confirmation. When PVI is rising, price progress within the period is occurring primarily during higher-participation sessions. This suggests that movement is being supported by expanding activity. Weakness or flattening in PVI indicates that price is losing traction during high-volume conditions. When NVI is rising, price persistence is occurring during quieter sessions as participation contracts. This often reflects continuation or structural stability that does not rely on broad engagement. Weakness in NVI indicates that price struggles to hold together as activity declines. Comparing the two provides insight into participation balance. - Both rising: broad support across participation regimes - PVI rising while NVI lags: movement concentrated in higher-participation sessions - NVI rising while PVI lags: price persistence despite reduced participation Each index is most commonly interpreted relative to its own 255-period EMA. Holding above the EMA suggests strengthening behavior within that participation regime, while sustained movement below the EMA indicates weakening momentum or transition. NVI in particular is often interpreted such that above-EMA behavior is supportive and below-EMA behavior is cautionary. Divergence between price and PVI or NVI can highlight changes in participation dynamics that may not yet be reflected in price alone. Divergence between PVI and NVI themselves highlights shifts in how price behaves under expanding versus contracting participation. These relationships are best used as contextual confirmation rather than as standalone trading signals. **Extended Interpretation (Exploratory)** This section is exploratory and should not be interpreted as conventional or widely-accepted guidance. Anchoring PVI and NVI to a shared baseline introduces a form of relative comparability that does not exist when the indicators are plotted independently. Within a single anchor period, both PVI and NVI are now expressed as relative change from a common reference point. This makes it possible to observe how the two series interact directly in time. Index Crossovers (PVI vs. NVI) Crossovers between anchored PVI and anchored NVI may be interpreted as shifts in dominance between participation regimes within the anchor period. - PVI crossing above NVI suggests that price progress under expanding participation has overtaken progress under contracting participation since the anchor began. - NVI crossing above PVI suggests that price persistence during quieter participation has become the dominant contributor within the period. EMA-to-EMA Structure (PVI EMA vs. NVI EMA) EMA-to-EMA relationships can further highlight smoother, regime-level tendencies in participation balance. When one EMA persistently leads the other after sufficient post-anchor price action has accumulated, it reflects a sustained bias toward that participation regime within the anchor window. Similarly, EMA crossovers that develop after sufficient post-anchor data may imply a transition in participation balance rather than a reset artifact. Important Context and Limitations of Extended Interpretation This form of interpretation is only valid within a single anchor period. Because each anchor resets the baseline, no continuity or meaning should be inferred across different periods. These interactions should be treated as descriptive of participation balance, not as standalone trade signals. Their value lies in clarifying how price movement is being carried within a defined window, not in predicting future direction. **Combined Practical Use** Altogether, this indicator allows participation dynamics to be evaluated at three levels: 1) Instantaneous behavior via the anchored PVI and NVI themselves 2) Structural persistence via each index relative to its own EMA 3) Regime balance via the relative positioning of PVI, NVI, and their EMAs **Warnings!** - Percent mode can become visually unstable when baseline PVI or NVI values are near zero due to division effects inherent in percent-change calculations. **Other Similar Indicators** My Anchored OBV + A/D script applies the same anchored-period framework to other volume-based indicators. **Credits** This script is inspired by Multi-Ticker Anchored Candles (MTAC) by @SamRecio . MTAC's anchored-baseline concept and open-source nature provided an important conceptual foundation for adapting the same idea to PVI and NVI.
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