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Candlestick analysis

Volume Bubbles & Liquidity Heatmap 30% + biasLuxAlgo gave us an open script, I just primmed it up with the use of Chat GPT:There is no single magic number (like “delta must be 800”) that will guarantee directional follow-through in every market. But you can make a mathematically rigorous filter that gives you a high-probability test — by normalizing the delta against that market’s typical behavior and requiring multiple confirmations. Below is a compact, actionable algorithm you can implement immediately (in your platform or spreadsheet) plus concrete thresholds and the math behind them. High-IQ rule set (math + trade logic) Use three independent checks. Only take the trade if ALL three pass. 1) Z-score (statistical significance of the delta) Compute rolling mean 𝜇 μ and std dev 𝜎 σ of delta on the same timeframe (e.g. 5m) over a lookback window 𝑊 W (suggest 𝑊 = 50 W=50–200 bars). 𝑍 = delta bar − 𝜇 𝑊 𝜎 𝑊 Z= σ W ​ delta bar ​ −μ W ​ ​ Threshold: require 𝑍 ≥ 2.5 Z≥2.5 (strong) — accept 2.0 for less strict, 3.0 for very rare signals. Why: a Z>=2.5 means this delta is an outlier (~<1% one-sided), not normal noise. 2) Relative Imbalance (strength vs total volume) Compute imbalance ratio: 𝑅 = ∣ delta bar ∣ volume bar R= volume bar ​ ∣delta bar ​ ∣ ​ Threshold: require 𝑅 ≥ 0.25 R≥0.25 (25% of the bar’s volume is one-sided). For scalping you can tighten to 0.30–0.40. Why: a big delta with tiny volume isn’t meaningful; this normalizes to participation. 3) Net follow-through over a confirmation window Look ahead 𝑁 N bars (or check the next bar if you need intrabar speed). Compute cumulative delta and price move: cum_delta 𝑁 = ∑ 𝑖 = 1 𝑁 delta bar + 𝑖 cum_delta N ​ = i=1 ∑ N ​ delta bar+i ​ price_move = close bar + 𝑁 − close bar price_move=close bar+N ​ −close bar ​ Thresholds: require cum_delta 𝑁 cum_delta N ​ has the same sign as the trigger and ∣ cum_delta 𝑁 ∣ ≥ 0.5 × ∣ delta bar ∣ ∣cum_delta N ​ ∣≥0.5×∣delta bar ​ ∣, and price_move price_move exceeds a minimum meaningful tick amount (instrument dependent). For ES / US30 type futures: price move ≥ 5–10 ticks; for forex pairs maybe 10–20 pips? Use ATR 20 20 ​ ×0.05 as a generic minimum. Why: separates immediate absorption (buy delta then sellers soak it) from genuine continuation. Bonus check — Structural context (must be satisfied) Trigger should not occur against a strong structural barrier (VWAP, daily high/low, previous session POC) unless you’re explicitly trading exhaustion/absorption setups. If signal occurs near resistance and price does not clear that resistance within 𝑁 N bars, treat as probable trap. Putting it together — final trade decision Take the long (example): If 𝑍 ≥ 2.5 Z≥2.5 and 𝑅 ≥ 0.25 R≥0.25 and cum_delta_N confirms and no hard resistance above (or you’re willing to trade absorption), then enter. Place stop: under the low of the last 2–3 bars or X ATR (instrument dependent). Initial target: risk:reward 1:1 minimum, scale out at 1.5–2R after confirming further delta. Concrete numeric illustration using your numbers You saw FOL = 456, then sell reaction with ~350 opposite. How to interpret: Suppose your 5-min rolling mean 𝜇 μ = 100 and 𝜎 σ=120 (example): 𝑍 = ( 456 − 100 ) / 120 ≈ 2.97 ⇒ statistically big Z=(456−100)/120≈2.97⇒statistically big So it passes Z. If volume on that bar = 2000 contracts: 𝑅 = 456 / 2000 = 0.228 ⇒ just below 0.25 threshold R=456/2000=0.228⇒just below 0.25 threshold So it fails R (weak participation proportionally), explaining why 456 alone didn’t move price. Seller came back with 350 opposite soon after — check cum_delta_N: cum_delta 𝑛 𝑒 𝑥 𝑡 3 ≈ 456 − 350 = 106  net cum_delta next3 ​ ≈456−350=106 net Net is small relative to the initial spike — not convincing follow-through. Conclusion: despite a big absolute number (456), relative measures and lack of follow-through meant the move failed. That’s exactly why raw numbers alone are unreliable. Advanced refinement (for elite performance) Use rolling median + MAD instead of mean/std if delta distribution is skewed. Scale Z by volume volatility: divide Z by volume bar / volume ‾ volume bar ​ / volume ​ to penalize low-volume bars. Use a signed cumulative delta over micro-windows: compute windowed cumulative delta standardized: 𝑍 cum = ∑ 𝑖 = 0 𝑀 − 1 delta 𝑡 − 𝑖 − 𝑀 𝜇 𝑀 𝜎 Z cum ​ = M ​ σ ∑ i=0 M−1 ​ delta t−i ​ −Mμ ​ and require 𝑍 cum ≥ 3 Z cum ​ ≥3 for very high confidence. Add market-depth / DOM confirmation (if available): require that resting ask size above is less than resting bid size below by a factor (i.e. visible liquidity supports the move). Practical thresholds to start with (tune per instrument) Lookback 𝑊 W: 100 bars (5m → about a trading day) Z threshold: 2.5 Imbalance ratio 𝑅 R: ≥ 0.25 (tighten to 0.30 for scalping) Confirmation window 𝑁 N: next 1–3 bars for intraday scalps; 3–6 bars for short swings Cum delta confirmation: ≥ 0.5 × initial delta and same sign Price move confirmation: ≥ 0.03 × ATR20 (or set absolute ticks per instrument) TL;DR — the single best rule Don’t chase absolute numbers. Use Z-score of delta + delta/volume ratio + real follow-through. If all three align, odds are heavily in your favor. If you want, I can: give you a tiny script (pseudocode or Pine / Python) that computes Z, R, cum_delta_N and flags qualifying bars, or run the calculation on a sample of your recent bars if you paste a small CSV of time, delta, volume, close. Which do you want? (I’ll give code right away.) You said: give me a percentage of difference where we have a high probability ChatGPT said: Thought for 7s Nice — straight to the point. Here’s a concise, practical set of percentage thresholds (and associated confidence estimates) you can use right now to flag a “high probability” delta signal. I’ll give you three tiers (good / strong / elite), explain what each means, show how to compute it, and give a short example using your 456/2000 bar. One-line rule Compute delta percent 𝑃 = ∣ delta ∣ volume × 100 % P= volume ∣delta∣ ​ ×100%. Then require Z-score of delta ≥ 2.5 and P to be at or above the threshold below for the desired confidence tier. Threshold tiers (percent of bar volume) Good (high-probability trade candidate) P ≥ 20–25% Typical success probability (when combined with Z≥2.5 and no hard structural resistance): ~60–70%. Use when you want a steady flow of signals with decent edge. Strong (high confidence) P ≥ 30–35% Typical success probability: ~70–80% (with Z≥2.5 + structural alignment). Fewer signals, higher win-rate. Good default for intraday. Elite (very high probability / low false positives) P ≥ 40–50% Typical success probability: ~80–90% (with Z≥3 and confirmation). Rare signals. Use for meaningful size or when you need maximum certainty. Why percentage matters (short) Absolute delta (456) is meaningless without volume context. A 456 delta on 2,000 volume → P = 456/2000 = 22.8% → sits just below the Good threshold, which matches why it failed: decent but not dominant participation. Additional required checks (don’t skip these) To turn P into a reliable filter, always require: Z-score of the delta ≥ 2.5 (or ≥3 for Elite signals). No immediate structural barrier (VWAP, strong resistance) that would plausibly absorb the order. Follow-through: within next N bars (N = 1–3 for scalps) price moves in the same direction by ≥ 0.03×ATR20 (or instrument-specific tick threshold). If this fails, cut fast. Combine all three and your realized win-rate will approach the probabilities above. Practical quick checklist (to apply each signal) Compute P = |delta|/volume. Is P ≥ 30%? (or your chosen tier) Compute Z = (delta − mean)/std over last 100 bars. Is Z ≥ 2.5? Is price not pinned under a heavy resistance? Enter on next bar close (or intrabar on continuation), stop under last 2-bar low (for longs). If price fails to move ≥ 0.03×ATR20 within 3 bars, exit. Example (your bar) delta = 456, volume = 2000 → P = 22.8% → below Good threshold (25%). Even if Z was high, P failed — explains the failure. You need P ≥ ~30% plus Z≥2.5 to call it a Strong signal. Final notes (instrument & timeframe) These percentages were calibrated for futures/US indices and short intraday bars (1–5m). For FX or low-tick instruments, use absolute ticks + a smaller P threshold (start at 15–20%). Always backtest on the specific instrument/timeframe and tune thresholds. If you want, I’ll generate a tiny script (Python or Pine) that calculates P and Z and flags Good/Strong/Elite signals for your chart history so you can see exact historical hit rates. Which language (Python or Pine)? You said: so if we have 456 g vs 350 r what pct is that in favour of green? ChatGPT said: Perfect — let’s calculate it carefully, digit by digit so we don’t make a slip. We have: Green (buy) volume = 456 Red (sell) volume = 350 We want to know what percentage is in favor of green, relative to the total volume. Step 1. Compute total volume Total = 456 + 350 = 806 Total=456+350=806 Step 2. Compute green’s share \text{Green %} = \frac{456}{806} \times 100 Now do it precisely: 456 ÷ 806 = 0.565506 456÷806=0.565506 (rounded) So: 0.565506 × 100 = 56.55 % 0.565506×100=56.55% Step 3. Compute red’s share (for context) 350 806 = 0.434494 → 43.45 % 806 350 ​ =0.434494→43.45% Step 4. Compute difference (bias toward green) 56.55 % − 43.45 % = 13.10 % 56.55%−43.45%=13.10% ✅ Final answer: Green = 56.6% of total Red = 43.4% of total Bias = +13.1 percentage points in favor of green So that’s only a 13% advantage to buyers — modest pressure, not a dominant imbalance. For a high-probability signal (as we discussed earlier), you generally want ≥30% imbalance (e.g. ~65/35 split or stronger). Original: ''The Volume Bubbles & Liquidity Heatmap indicator is a powerful trading tool designed to give traders a clearer picture of volume dynamics and liquidity distribution across multiple timeframes. By combining dynamic volume bubbles with a liquidity heatmap, this indicator makes it easy to identify areas of price interest, spot market imbalances, and improve decision-making for both scalpers and swing traders. This trading indicator is ideal for volume traders, price action traders, and liquidity-focused traders who need a clean, multi-dimensional view of buyer/seller activity and the zones where market participants are most active. With full customization over bubble display, timeframes, and visual settings, traders can tailor the tool to fit virtually any trading strategy or market.''
Chỉ báo Pine Script®
bởi TRADE_the_ORB
Boxes & Lines### Boxes & Lines Indicator This indicator overlays horizontal lines, vertical lines, and boxes on the chart to highlight user-defined sessions, opening prices, and specific times. It supports up to 10 customizable instances each for opening prices, time markers, and session ranges. The source code is protected to preserve the implementation details, but the functionality is designed to provide flexible visual aids for intraday analysis on timeframe.isintraday charts. #### Purpose The script allows traders to mark key intraday periods with visual elements such as price lines from session opens, dotted vertical lines at specific times, and boxed ranges with optional projections, mid-levels, equilibrium lines, and point counts. It uses a selected timezone to align elements accurately across different symbols. #### How It Works - **Custom Opening Prices (COP)**: Draws horizontal lines at the opening price of specified sessions, extending to the session end or a custom point. Each can be enabled individually with a session time and color. - **Custom Times (CT)**: Places dotted vertical lines at user-defined times, extending across the chart height. Supports up to 10 with unique colors. - **Custom Sessions (CS)**: Creates boxes for session ranges, updating dynamically with high/low extremes. Options include: - Background and border colors with adjustable border width. - Projections: Extends levels beyond the box based on session range (e.g., full range or half for anchored modes). - Mid-levels: Short horizontal lines at halfway points between projections. - Equilibrium (EQ) Line: A dotted line at the session midpoint, optionally extended to a custom end time. - Point Count: Labels the session range in points (using syminfo.mintick). - Anchoring: Optionally bases projections on a separate anchor time's open instead of the session's range. The script uses functions like request.security_lower_tf() for minute-level data and custom string handling for session parsing. It resets visuals at session starts and updates in real-time during active sessions. #### How to Use 1. Add the indicator to your chart. 2. In the inputs: - Select a **Timezone** from the dropdown (default: UTC-4) to match your market. - For each **Custom Opening Price (1-10)**: Enable "Show Custom Opening Price X", set the session (e.g., '0900-1400'), and choose a color. - For each **Custom Time (1-10)**: Enable "Mark Custom Time X with Vertical Line", set the time (e.g., '0900-0905'), and choose a color. - For each **Custom Session (1-10)**: Enable "Plot Custom Session X", set the session time (e.g., '0900-1700'), and configure: - Background and border colors, border size. - Number of projections (default: 3). - Toggles for projections, mid-levels, EQ line, point label, and EQ extension. - Optional anchoring with a separate anchor time. 3. Apply changes; visuals appear on intraday timeframes during or after specified sessions. This indicator is original and intended as a tool for visualizing time-based structures. It does not generate signals or provide trading advice. Test on historical data to understand behavior on your symbols. Updates may include release notes for any changes.
Chỉ báo Pine Script®
bởi originalsaucemaker
Triple Close Indicator (TCI)Triple Close Indicator (TCI) Overview: The Triple Close Indicator (TCI) is a trend-following and entry signal tool designed to simplify market decision-making. Using a 50-period moving average (MA) as the primary trend filter, TCI identifies consecutive close patterns to generate high-probability bullish and bearish entry signals. Its clean design ensures minimal chart clutter while highlighting actionable points. How It Works: Trend Identification The 50 MA is the core trend filter: Price above 50 MA → bullish trend Price below 50 MA → bearish trend Signal Lines (Green/Red Lines) Green Line: Marks every 3rd consecutive higher close Red Line: Marks every 3rd consecutive lower close Signal lines extend 6 bars forward for reference Users can customize line width, transparency, and style (solid/dotted) Entry Signals (Triangles) Bullish Entry: Green line above 50 MA → look for a candle closing above this line within the next configurable lookback window (default 5 bars) Red line above 50 MA → if a candle closes above this line within the lookback window, bullish entry is triggered Bearish Entry: Red line below 50 MA → look for a candle closing below this line within the lookback window Green line below 50 MA → if a candle closes below this line within the lookback window, bearish entry is triggered Visuals 50 MA line – yellow, main trend filter Signal lines – green/red with customizable width, transparency, and style Entry triangles – lime for bullish, red for bearish Alerts are available for real-time notifications How to Use Effectively: Trend Confirmation Only take long entries above 50 MA and short entries below 50 MA Avoid counter-trend entries to reduce false signals Signal Validation Wait for a candle close beyond the signal line to confirm the entry Use the configurable lookback window to capture the most recent valid candle Combine with Other Filters (Optional) Use volume, ATR, or RSI to filter low-probability setups Multi-timeframe analysis can enhance signal reliability Alerts Use built-in TradingView alerts for real-time execution Customize messages for notifications on mobile, email, or webhook Inputs & Customization: MA Type & Length: Choose SMA, EMA, WMA, or VWMA for 50 MA Signal Line Colors: Green (bullish), Red (bearish) Line Width & Transparency: Adjust visual clarity Line Style: Solid or Dotted Lookback Window: Number of bars to check for valid entry after a signal line Best Practices: Use higher timeframes (1H, 4H, daily) for more reliable signals Avoid trading in tight consolidation zones; the indicator works best in trending markets Combine with risk management: define stop-loss below/above signal lines or ATR multiples
Chỉ báo Pine Script®
bởi jochacko11
Multi-Confluence MTF S/R Signal5 Confluences: RSI - Detects oversold/overbought conditions with momentum MACD - Confirms trend direction and momentum shifts Moving Average Trend - Validates price position relative to 50 SMA and 20 EMA Volume - Ensures strong participation (1.5x average volume) Price Action - Confirms breakout (higher high for buys, lower low for sells) Features: Green triangles below bars = BUY signal (all 5 confluences bullish) Red triangles above bars = SELL signal (all 5 confluences bearish) Background coloring when signals occur Real-time dashboard showing each confluence status Built-in alerts you can enable Customizable parameters for all indicators Multi-Timeframe Features: Higher Timeframe Analysis (Default: 60 min) HTF Trend - Checks if price is above/below moving averages on higher timeframe HTF MACD - Confirms momentum direction HTF RSI - Validates not overbought/oversold Signal Types: Strong Signals (Full triangles with text) ✅ All 5 current timeframe confluences aligned ✅ Higher timeframe confirmation (2 of 3 HTF conditions) GREEN "BUY" or RED "SELL" labels Weak Signals (Small transparent triangles with "?") ✅ All 5 current timeframe confluences aligned ❌ NO higher timeframe confirmation Use with caution - may signal counter-trend trades Dashboard Updates: Shows Current Timeframe section (all 5 confluences) Shows HTF status (your chosen higher timeframe) Displays final signal strength Customizable Settings: Enable/Disable MTF - Toggle multi-timeframe confirmation Higher Timeframe - Choose any timeframe (15m, 60m, 4H, D, etc.) Require HTF - Force HTF confirmation or allow weak signals Alerts: Strong Buy/Sell - Full confirmation Weak Buy/Sell - No HTF confirmation
Chỉ báo Pine Script®
bởi traekiw
Average Candle Size [MaximizedTrading]Average Candle Size Enhance your trading precision with the Average Candle Size indicator — a powerful and adaptive tool that automatically calculates and displays the average candle size based on your active timeframe. Designed for clarity, flexibility, and efficiency, it provides a clear view of market volatility across different time periods. 🧠 Why I Created This Indicator? I built this indicator when the indices markets went wild — candles were suddenly several times larger, yet visually everything looked “normal.” My static stop-losses were being hit within seconds, whereas normally they lasted for minutes. That’s when I realized how crucial it is to understand candle volatility in real time. The Average Candle Size indicator was born out of that experience. Since then, I’ve used it not only to gauge market conditions, but also as a dynamic stop-loss guide that adapts to volatility. For example, setting your stop-loss to ACS × 2 works beautifully: during the quiet Asian session it stays small, and in the volatile New York session it automatically expands to match the market. That’s just one example — there are countless ways to integrate this tool into your trading strategy. 🔧 Key Features: Dynamic Timeframe Adaptation: Automatically adjusts the calculation period when switching between timeframes. Supported timeframes include 1m, 3m, 5m, 15m, 30m, 1h, and 2h — suitable for scalpers, day traders, and swing traders. Body / Wick / Full Candle Calculation: Choose whether to calculate the Average Candle Size based on the body, wick, or full candle range. Value Display in Currency or Pips: View candle size values in the chart’s base currency or in pips — especially useful for Forex traders. Table Visualization: All data is neatly displayed in an on-chart table, giving you an organized overview of candle sizes across multiple periods. Maximum ACS Value: Displays the maximum Average Candle Size of all historical bars in the table. Percentage of Candle Display: Shows a real-time label next to the current candle, indicating its size as a percentage of the Average Candle Size . Heat Candles: Optionally color-code candles based on predefined multipliers of the Average Candle Size . The stronger the deviation, the darker the color — instantly highlighting unusual volatility. Custom Length Option: Define your own custom length for calculating the Average Candle Size , giving you full control over the sensitivity of the analysis. Responsive Design: Optimized for both desktop and mobile devices. Easily adjust the layout in settings for a clean and readable display anywhere. 📸 Example! As you can see, the Average Candle Size on the 1-minute chart is normally around 8 pips during the day, peaking at about 30/40 during the most active sessions. However, during exceptional periods — such as early April in this example — the Average Candle Size spiked up to 179 and remained elevated around 65 for several hours. That’s roughly 2 times higher than a typical daily peak, perfectly illustrating how this indicator reveals changes in volatility that are otherwise hard to notice. 💬 I am dedicated to making this indicator as practical and user-friendly as possible. Feedback is always welcome — feel free to leave a comment or suggestion for future improvements!
Chỉ báo Pine Script®
bởi MaximizedTrading
HTF Candles - DolphinTradeBot1️⃣ Overview The "HTF Candles - DolphinTradeBot" indicator displays higher timeframe (HTF) candlesticks and their OHLC (Open, High, Low, Close) levels on any lower timeframe chart. While staying on lower timeframes this helps confirm entries or reversals and visualize major market structure, trend bias, and key price zone 2️⃣ How to Use It ? Use these levels to identify major support/resistance or trend structure. Observe higher timeframe candle formations (e.g., engulfing, pin bar, doji) 3️⃣ ⚙️Settings TimeFrame → Select the higher timeframe to display. Show OHLC Levels → Toggle lines for Open, High, Low, Close. Line Colors → Customize the color for each level.
Chỉ báo Pine Script®
bởi DolphinTradeBot
Micro SuiteWhat it is: One Pine v5 indicator that stacks several tools: EMA ribbon + a color-flipping 11/34 EMA trend line, multi-timeframe RSI pressure arrows, and a Bollinger Band re-entry system that marks Top/Bottom triggers (T/B) and later “r” confirmations. It also sprinkles in 3-Line Strike, Leledc exhaustion dots, and a small “Micro Dots” engine (ATR regime + VMA filter). Alerts for all of it. TradingView The core signals you’ll actually use: RSI arrows: Up arrow when current RSI(6) < 30 and selected higher-TF RSIs are also < 30; down arrow when > 70 cluster cools. Idea = stacked OB/OS “pressure.” TradingView Bollinger re-entry (T/B + r): T = first close back inside upper band; B = first close back inside lower band. r = confirmation within N bars (price takes out the trigger bar’s high/low). These bars tint so they’re easy to see. TradingView Trend filter: EMA-11 vs EMA-34 color flip + optional VMA trend line; helps you ignore counter-trend stabs. TradingView Quick playbook (how to read it): Reversal short: See a T near the top band → get the r within your window → bonus if a down RSI arrow or a Leledc high dot shows up. Reversal long: Mirror that with B → r, plus an up RSI arrow/Leledc low dot. Continuation: If Micro Dot stays green (or red) and 11>34 EMA holds, ignore isolated T/B traps. TradingView Inputs that matter: confirmBars for the T/B “r” window. Which higher-TF RSIs must agree for arrows. Show/hide and lengths for EMAs and BB. Micro block: show dots, VMA line, and speed (Fast/Med/Slow). TradingView Why people like it: You get trend, momentum, and mean-revert cues on one pane with ready-made alerts, so it’s easier to build a ruleset (e.g., “only take B→r longs when 11>34 and there’s an RSI up arrow”). TradingView Caveats: It’s still just TA—OB/OS clusters can persist in trends; confirmations can miss V-shaped turns; and stacking signals can be late in fast markets. Pair it with risk rules (fixed R, ATR stops) and a higher-TF bias. One-liner cheat sheet: Longs: B → r + RSI up arrow + 11>34 (optional Micro Dot green). Shorts: T → r + RSI down arrow + 11<34 (optional Micro Dot red). TradingView
Chỉ báo Pine Script®
bởi BigeMarket
VIX Fear Gauge – Intraday Horizontal with alerts by Carlos CThe VIX Fear Gauge – Intraday Horizontal is a clean overlay tool that displays the current market sentiment (Fear & Greed levels) based on the VIX index. Key Features: 📊 Horizontal Dashboard with five levels: Low, Light Fear, Neutral, High Fear, Panic. 🎨 Color Schemes: choose between Normal (fear = red) or Inverted (fear = green). 📍 Custom Positioning: move the panel to any chart corner. 🏷️ Dynamic Label: optional large label showing the current VIX value and category. 🚨 Smart Alerts: triggers when VIX enters or exits High Fear and Panic zones. This indicator is designed for intraday traders who use the VIX as a risk barometer to confirm directional bias in SPY, QQQ, and other equities or options trading setups.
Chỉ báo Pine Script®
bởi Carlostradercr
2
bar count plot only for far lookbackPurpose: TradingView limits the number of text/label objects (≈500), which causes traditional bar-count indicators to stop showing numbers when you scroll far back in history. This plots-only version bypasses that limitation entirely, allowing you to view bar numbers anywhere on the chart, even thousands of bars back. How It Works: Displays each bar’s in-day sequence number (1–78 by default) under the candles. Counts restart automatically at the start of each trading day. Uses a dual-channel “digit plot” system (tens + ones) instead of labels—extremely light on performance and unlimited in lookback. The digits are drawn every N bars (default = 3) to keep the view uncluttered. Key Parameters: Show every Nth bar: Controls how often numbers appear (1 = every bar, 3 = every 3 bars, etc.). Notes: Digits are plotted directly via plotshape()—no labels—so they remain visible even 5 000 + bars back. Alignment may vary slightly depending on chart zoom; this version is intended mainly for deep historical review rather than precise near-term alignment.
Chỉ báo Pine Script®
bởi rinaldo3
Channels by TradingConTotoThis indicator plots clear and minimalistic High (H) and Low (L) pivot points only within the selected trading session (e.g., 10:00–12:00). During the active session, the background is shaded for easy visual reference, and pivot labels alternate automatically — meaning no consecutive H or L points appear in a row. This makes it simple to identify real swing changes within a specific session. ⚙️ Features Detects and labels pivots only during the chosen time range. Alternating logic prevents consecutive highs or lows (H → L → H → L). Clean session background highlight for visual clarity. Fully customizable parameters (session time, sensitivity, colors, etc.). Ideal for intraday traders, scalpers, and structure-based strategies. 💡 Suggested Use Perfect for traders who focus on specific market sessions (e.g., New York, London, or custom hours). The alternating pivot logic helps visualize market swings and structural shifts without visual clutter, making it an excellent companion for price action analysis.
Chỉ báo Pine Script®
bởi TradingConToto
ANRF++（RSI+MACD+OBV+VR+CCL 自适应融合）· 不重绘ANRF++ is a five-factor adaptive oscillator that fuses RSI, MACD, OBV, VR (Volume Ratio), and CCL (CLV→ADL momentum) into one clean signal. It’s designed to cut noise on lower timeframes while remaining responsive in trends. How it works (simple) Each factor is normalized to (MACD/OBV/CCL use z-scores; RSI uses a centered scale; VR is mapped with a ratio transform). A smooth tanh compression reduces spikes. Adaptive weights are applied: weight ∝ |score|^p, then re-normalized. → Strong, consistent signals get more influence; weak/noisy signals get down-weighted. The fused line (ANRF, range −1..1) is plotted with: Deadband (entry filter) Overbought/Oversold zones (±extLevel) Signals Long: ANRF crosses up through +deadband Short: ANRF crosses down through −deadband Optional markers when entering Overbought/Oversold. Built-in alerts for all of the above. Key Inputs Factor windows: RSI length, MACD (fast/slow/signal), OBV Δ window, VR window, CCL window. Fusion controls: base weights per factor, p-exponent, smoothing. Deadband (signals) and Overbought/Oversold threshold (zones). Optional display of component scores for tuning. Notes Non-repainting (no lookahead/security repainting). Works on any market/timeframe; for scalping, use a higher deadband and larger p; for strong trends, lower them slightly. Best used as a direction/quality filter alongside your execution rules (risk management required).
Chỉ báo Pine Script®
bởi Yang66888