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ROC + dROC + d2ROC (with z-scores & percentiles)This indicator measures how price momentum is changing — not just whether it’s rising or falling, but how quickly that change itself is accelerating or slowing. It starts with the Rate of Change (ROC), which shows how much price has moved over a set period. The first derivative (ΔROC) tracks how ROC is changing from bar to bar, and the second derivative (Δ²ROC) shows whether that change is speeding up or fading — essentially the “acceleration” of momentum. Positive Δ²ROC means momentum is strengthening; negative means it’s weakening. The script also quantifies how extreme those shifts are using z-scores and percentiles, helping spot Druckenmiller-style turning points where trends often begin or end.
Pine Script® göstergesi
GoyalKapil354 tarafından
Momentum Swing 1–3 Weeks ✅ Entry (LONG) Conditions Price above EMA9 and SMA20 SMA20 > SMA50 (trend confirmation) MACD above the signal line RSI between 50–65 (healthy momentum) Volume at least 20% above the 20-day average When all conditions align, a LONG signal is generated. ✅ Exit (SELL) Conditions Price closes below EMA9 MACD gives a bearish crossover Or TP/SL levels are hit Position is closed. ✅ Multi-Stage Take Profit TP1: ATR × 1.5 → closes 50% of the position TP2: ATR × 3.0 → closes remaining 50% ✅ Stop Loss ATR × 1.5 dynamic SL ✅ What This Strategy Aims For Catching early trend continuation signals Filtering weak / low-volume breakouts Exiting when momentum fades Eliminating emotional decision-making through rules 📌 Note Backtest performance may vary by symbol and volatility. Proper risk management is strongly recommended.
Pine Script® stratejisi
omfado tarafından
2
Realtime Squeeze Box [CHE] Realtime Squeeze Box — Detects lowvolatility consolidation periods and draws trimmed price range boxes in realtime to highlight potential breakout setups without clutter from outliers. Summary This indicator identifies "squeeze" phases where recent price volatility falls below a dynamic baseline threshold, signaling potential energy buildup for directional moves. By requiring a minimum number of consecutive bars in squeeze, it reduces noise from fleeting dips, making signals more reliable than simple threshold crosses. The core innovation is realtime box visualization: during active squeezes, it builds and updates a box capturing the price range while ignoring extreme values via quantile trimming, providing a cleaner view of consolidation bounds. This differs from static volatility bands by focusing on trimmed ranges and suppressing overlapping boxes, which helps traders spot genuine setups amid choppy markets. Overall, it aids in anticipating breakouts by combining volatility filtering with visual containment of price action. Motivation: Why this design? Traders often face whipsaws during brief volatility lulls that mimic true consolidations, leading to premature entries, or miss setups because standard volatility measures lag in adapting to changing market regimes. This design addresses that by using a hold requirement on consecutive lowvolatility bars to denoise signals, ensuring only sustained squeezes trigger visuals. The core idea—comparing rolling standard deviation to a smoothed baseline—creates a responsive yet stable filter for lowenergy periods, while the trimmed box approach isolates the core price cluster, making it easier to gauge breakout potential without distortion from spikes. What’s different vs. standard approaches? Reference baseline: Traditional squeeze indicators like the Bollinger Band Squeeze or TTM Squeeze rely on fixed multiples of bands or momentum oscillators crossing zero, which can fire on isolated bars or ignore range compression nuances. Architecture differences: Realtime box construction that updates barbybar during squeezes, using arrays to track and trim price values. Quantilebased outlier rejection to define box bounds, focusing on the bulk of prices rather than full range. Overlap suppression logic that skips redundant boxes if the new range intersects heavily with the prior one. Hold counter for consecutive bar validation, adding persistence before signaling. Practical effect: Charts show fewer, more defined orange boxes encapsulating tight price action, with a horizontal line extension marking the midpoint postsqueeze—visibly reducing clutter in sideways markets and highlighting "coiled" ranges that standard plots might blur with full highs/lows. This matters for quicker visual scanning of multitimeframe setups, as boxes selflimit to recent history and avoid piling up. How it works (technical) The indicator starts by computing a rolling average and standard deviation over a userdefined length on the chosen source price series. This deviation measure is then smoothed into a baseline using either a simple or exponential average over a longer window, serving as a reference for normal volatility. A squeeze triggers when the current deviation dips below this baseline scaled by a multiplier less than one, but only after a minimum number of consecutive bars confirm it, which resets the counter on breaks. Upon squeeze start, it clears a buffer and begins collecting source prices barbybar, limited to the first few bars to keep computation light. For visualization, if enabled, it sorts the buffer and finds a quantile threshold, then identifies the minimum value at or below that threshold to set upper and lower box bounds—effectively clamping the range to exclude tails above the quantile. The box draws from the start bar to the current one, updating its right edge and levels dynamically; if the new bounds overlap significantly with the last completed box, it suppresses drawing to avoid redundancy. Once the hold limit or squeeze ends, the box freezes: its final bounds become the last reference, a midpoint line extends rightward from the end, and a tiny circle label marks the point. Buffers and states reset on new squeezes, with historical boxes and lines capped to prevent overload. All logic runs on every bar but uses confirmed historical data for calculations, with realtime updates only affecting the active box's position—no future peeking occurs. Initialization seeds with null values, building states progressively from the first bars. Parameter Guide Source: Selects the price series (e.g., close, hl2) for deviation and box building; influences sensitivity to wicks or bodies. Default: close. Tradeoffs/Tips: Use hl2 for balanced range view in volatile assets; stick to close for pure directional focus—test on your timeframe to avoid oversmoothing trends. Length (Mean/SD): Sets window for average and deviation calculation; shorter values make detection quicker but noisier. Default: 20. Tradeoffs/Tips: Increase to 30+ for stability in higher timeframes, reducing false starts; below 10 risks overreacting to singlebar noise. Baseline Length: Defines smoothing window for the deviation baseline; longer periods create a steadier reference, filtering regime shifts. Default: 50. Tradeoffs/Tips: Pair with Length at 1:2 ratio for calm markets; shorten to 30 if baselines lag during fast volatility drops, but watch for added whips. Squeeze Multiplier (<1.0): Scales the baseline downward to set the squeeze threshold; lower values tighten criteria for rarer, stronger signals. Default: 0.8. Tradeoffs/Tips: Tighten to 0.6 for highvol assets like crypto to cut noise; loosen to 0.9 in forex for more frequent but shallower setups—balances hit rate vs. depth. Baseline via EMA (instead of SMA): Switches baseline smoothing to exponential for faster adaptation to recent changes vs. equalweighted simple average. Default: false. Tradeoffs/Tips: Enable in trending markets for quicker baseline drops; disable for uniform history weighting in rangebound conditions to avoid overreacting. SD: Sample (len1) instead of Population (len): Adjusts deviation formula to divide by length minus one for smallsample bias correction, slightly inflating values. Default: false. Tradeoffs/Tips: Use sample in short windows (<20) for more conservative thresholds; population suits long looks where bias is negligible, keeping signals tighter. Min. Hold Bars in Squeeze: Requires this many consecutive squeeze bars before confirming; higher denoise but may clip early setups. Default: 1. Tradeoffs/Tips: Bump to 35 for intraday to filter ticks; keep at 1 for swings where quick consolidations matter—trades off timeliness for reliability. Debug: Plot SD & Threshold: Toggles lines showing raw deviation and threshold for visual backtesting of squeeze logic. Default: false. Tradeoffs/Tips: Enable during tuning to eyeball crossovers; disable live to declutter—great for verifying multiplier impact without alerts. Tint Bars when Squeeze Active: Overlays semitransparent color on bars during open box phases for quick squeeze spotting. Default: false. Tradeoffs/Tips: Pair with low opacity for subtlety; turn off if using boxes alone, as tint can obscure candlesticks in dense charts. Tint Opacity (0..100): Controls background tint strength during active squeezes; higher values darken for emphasis. Default: 85. Tradeoffs/Tips: Dial to 60 for light touch; max at 100 risks hiding price action—adjust per chart theme for visibility. Stored Price (during Squeeze): Price series captured in the buffer for box bounds; defaults to source but allows customization. Default: close. Tradeoffs/Tips: Switch to high/low for wider boxes in gappy markets; keep close for midline focus—impacts trim effectiveness on outliers. Quantile q (0..1): Fraction of sorted prices below which tails are cut; higher q keeps more data but risks including spikes. Default: 0.718. Tradeoffs/Tips: Lower to 0.5 for aggressive trim in noisy assets; raise to 0.8 for fuller ranges—tune via debug to match your consolidation depth. Box Fill Color: Sets interior shade of squeeze boxes; semitransparent for layering. Default: orange (80% trans.). Tradeoffs/Tips: Soften with more transparency in multiindicator setups; bold for standalone use—ensures boxes pop without overwhelming. Box Border Color: Defines outline hue and solidity for box edges. Default: orange (0% trans.). Tradeoffs/Tips: Match fill for cohesion or contrast for edges; thin width keeps it clean—helps delineate bounds in zoomed views. Keep Last N Boxes: Limits historical boxes/lines/labels to this count, deleting oldest for performance. Default: 10. Tradeoffs/Tips: Increase to 50 for weekly reviews; set to 0 for unlimited (risks lag)—balances history vs. speed on long charts. Draw Box in Realtime (build/update): Enables live extension of boxes during squeezes vs. waiting for end. Default: true. Tradeoffs/Tips: Disable for confirmedonly views to mimic backtests; enable for proactive trading—adds minor repaint on live bars. Box: Max First N Bars: Caps buffer collection to initial squeeze bars, freezing after for efficiency. Default: 15. Tradeoffs/Tips: Shorten to 510 for fast intraday; extend to 20 in dailies—prevents bloated arrays but may truncate long squeezes. Reading & Interpretation Squeeze phases appear as orange boxes encapsulating the trimmed price cluster during lowvolatility holds—narrow boxes signal tight consolidations, while wider ones indicate looser ranges within the threshold. The box's top and bottom represent the quantilecapped high and low of collected prices, with the interior fill shading the containment zone; ignore extremes outside for "true" bounds. Postsqueeze, a solid horizontal line extends right from the box's midpoint, acting as a reference level for potential breakout tests—drifting prices toward or away from it can hint at building momentum. Tiny orange circles at the line's start mark completion points for easy scanning. Debug lines (if on) show deviation hugging or crossing the threshold, confirming hold logic; a persistent hug below suggests prolonged calm, while spikes above reset counters. Practical Workflows & Combinations Trend following: Enter long on squeezeend close above the box top (or midpoint line) confirmed by higher high in structure; filter with rising 50period average to avoid countertrend traps. Use boxes as support/resistance proxies—short below bottom in downtrends. Exits/Stops: Trail stops to the box midpoint during postsqueeze runs for conservative holds; go aggressive by exiting on retest of opposite box side. If debug shows repeated threshold grazes, tighten stops to curb drawdowns in ranging followups. Multiasset/MultiTF: Defaults work across stocks, forex, and crypto on 15min+ frames; scale Length proportionally (e.g., x2 on hourly). Layer with highertimeframe boxes for confluence—e.g., daily squeeze + 1H box for entry timing. (Unknown/Optional: Specific multiTF scaling recipes beyond proportional adjustment.) Behavior, Constraints & Performance Repaint/confirmation: Core calculations use historical closes, confirming on bar close; active boxes repaint their right edge and levels live during squeezes if enabled, but freeze irrevocably on hold limit or end—mitigates via barbybar buffer adds without future leaks. No lookahead indexes. security()/HTF: None used, so no external timeframe repaints; all native to chart resolution. Resources: Caps at 300 boxes/lines/labels total; small arrays (up to 20 elements) and short loops in sorting/minfinding keep it light—suitable for 10k+ bar charts without throttling. Persistent variables track state across bars efficiently. Known limits: May lag on ultrasharp volatility spikes due to baseline smoothing; gaps or thin markets can skew trims if buffer hits cap early; overlaps suppress visuals but might hide chained squeezes—(Unknown/Optional: Edge cases in nonstandard sessions). Sensible Defaults & Quick Tuning Start with defaults for most liquid assets on 1Hdaily: Length 20, Multiplier 0.8, Hold 1, Quantile 0.718—yields balanced detection without excess noise. For too many false starts (choppy charts), increase Hold to 3 and Baseline Length to 70 for stricter confirmation, reducing signals by 3050%. If squeezes feel sluggish or miss quick coils, shorten Length to 14 and enable EMA baseline for snappier adaptation, but monitor for added flips. In highvol environments like options, tighten Multiplier to 0.6 and Quantile to 0.6 to focus on core ranges; reverse for calm pairs by loosening to 0.95. Always backtest tweaks on your asset's history. What this indicator is—and isn’t This is a volatilityfiltered visualization tool for spotting and bounding consolidation phases, best as a signal layer atop price action and trend filters—not a standalone predictor of direction or strength. It highlights setups but ignores volume, momentum, or news context, so pair with discreteness rules like higher highs/lows. Never use it alone for entries; always layer risk management, such as 12% stops beyond box extremes, and position sizing based on account drawdown tolerance. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on HeikinAshi, Renko, Kagi, PointandFigure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® göstergesi
chervolino tarafından
1
Trendy Bands + Reversal SignalsTrendy Bands + Reversal Signals This is a versatile and powerful TradingView indicator that combines a dual Bollinger Bands system with momentum-based reversal signals. It's designed to help traders identify the prevailing trend, potential volatility expansions/contractions, and key reversal points in the market. Core Concept: The indicator uses two sets of Bollinger Bands with different standard deviation settings to create a "band within a band" structure. This visual setup makes it easier to gauge trend strength and spot potential breakouts or breakdowns. Additionally, it calculates a custom momentum oscillator to generate early warnings for potential trend reversals.
Pine Script® göstergesi
nasalgotrading tarafından
RBD Market ProfileA Market Profile visually shows how much time (or how many bars) price spent at each price level within a session — helping identify areas of “fair value” (where price spent most time) and extremes (where price barely traded). It divides each trading session (for example, a day, week, or month depending on input) into price segments, counts how many bars closed within each segment, and then identifies: POC (Point of Control): price level with the highest frequency (most traded or visited). VAH (Value Area High): upper boundary of the zone that contains 70% (or user-defined percentage) of all activity around the POC. VAL (Value Area Low): lower boundary of that same 70% activity zone. Finally, it plots lines for: VAH (green line) VAL (red line) POC Upper & Lower (white lines) Session Open (blue dashed line) How to use this Market Profile: Determine Key Areas of Support/Resistance by the VAH and VAL VAH: Responsive Sellers and Initiative Buyers VAL: Responsive Buyers and Initiative Sellers POC: Can be used as Fair Value
Pine Script® göstergesi
RBD_AI tarafından
[Asian Range + Sweeps]Main Features Asian Range (S2) — fully configurable session band (start/end, hour:minute) with automatic detection and visual high/low markers. HOD/LOD (S1) — adaptive cutoff logic for Forex vs Indices, with optional manual override. Gap Correction — optional true HOD/LOD detection using a 1-minute base with overnight gap adjustment. Sweep Detection — real-time alerts for S1 and S2 sweeps, with independent cooldown control to avoid duplicate signals. Visual Controls — customizable colors, line thickness, and transparency. KeepDays Setting — allows you to manage how many past session drawings are preserved on the chart
Pine Script® göstergesi
mariniuk tarafından
Dashboard — Vol & PriceDashboard for traders Indicator Description 1. Prev Day High What it shows: the previous trading day's high. Why it shows: a resistance level. Many traders watch to see if the price will hold above or below this level. A breakout can signal buying strength. 2. Prev Day Low What it shows: the previous day's low. Why it shows: a support level. If the price breaks downwards, it signals weakness and a possible continuation of the decline. 3. Today What it shows: The difference between the current price and yesterday's close (in absolute values ​​and as a percentage). Color: green for an increase, red for a decrease. Why it shows: immediately shows how strong a gap or movement is today relative to yesterday. This is an indicator of current momentum. 4. ADR, % (Average Daily Range) What it shows: Average daily range (High – Low), expressed as a percentage of the closing price, for the selected period (default 7 days). Why it's useful: To understand the "normal" volatility of an instrument. For example, if the ADR is 3%, then a 1% move is small, while a 6% move is very large. 5. ATR (Average True Range) What it shows: Average fluctuation range (including gaps), in absolute points, for the specified period (default 7 days). Why it's useful: A classic volatility indicator. Useful for setting stops, calculating position sizes, and identifying "noise" movements. 6. ATR (Today), % What it shows: How much the current movement today (from yesterday's close to the current price) represents in % of the average ATR. Why it shows: Shows whether the instrument has "played out" its average range. If the value is already >100%, there is a high probability that the movement will begin to slow. 7. Vol (Today) What it shows: Current trading volume for the day (in millions/billions). Comparison with yesterday as a percentage (for example: 77.32M (-52.78%)). Color: green if the volume is higher than yesterday; red if lower. Why it shows:Quickly shows whether the market is active today. Volume = fuel for price movement. 8. Avg Vol (20d) What it shows: Average daily volume over the last 20 trading days. Why it's useful:"normal" activity level. It's a convenient backdrop for assessing today's turnover. 9. Rel. Vol (Today), % (Relative Volume) What it shows: Deviation of the current volume from the average (20 days). Formula: `(today / average - 1)` * 100`. +30% = volume 30% above average, -40% = 40% below average. Color: green for +, red for –. Why it's useful:A key indicator for a trader. If RelVol > 100% (green), the market is "charged," and the movement is more significant. If low, activity is weak and movements are less reliable. 10. Normalized RS (Relative Strength) What it shows: the relative strength of a stock to a selected benchmark (e.g., SPY), normalized by the period (default 7 days). 100 = same result as the market. > 100 = the stock is stronger than the index. <100 = weaker than the index. Why it's needed: filtering ideas. Strong stocks rise faster when the market rises, weak stocks fall more sharply. This helps trade in the direction of the trend and select the best candidates. In summary: Prev High / Low — key support and resistance levels. Today — an instant understanding of the current momentum. ADR and ATR — volatility and potential movement. ATR (Today) — how much the instrument has already "run." Vol + Rel.Vol — activity and confirmation of the movement's strength. RS — selecting strong/weak leaders against the market.
Pine Script® göstergesi
finrangecom tarafından
MPO4 Lines – Modal Engine█ OVERVIEW MPO4 Lines – Modal Engine is an advanced multi-line modal oscillator for TradingView, designed to detect momentum shifts, trend strength, and reversal points through candle-based pressure analysis with multiple fast lines and a reference slow line. It features divergence detection on Fast Line A, overbought/oversold return signals, dynamic coloring modes, and layered gradient visualizations for enhanced clarity and decision-making. █ CONCEPT The indicator is built upon the Market Pressure Oscillator (MPO) and serves as its expanded evolution, aimed at enabling broader market analysis through multiple lines with varying parameters. It calculates modal pressure using candle body size and direction, weighted against average body size over a lookback period, then normalized and smoothed via EMA. It generates four distinct oscillator lines: a heavily smoothed Slow Line (trend reference), two Fast Lines (A & B) for momentum and support/resistance, and an optional Line 4 for additional confirmation. Divergence is calculated solely on Fast Line A, with visual gradients between lines and bands for intuitive interpretation. █ WHY USE IT? - Multi-Layer Momentum: Combines slow trend reference with dual fast lines for precise entry/exit timing. - Divergence Precision: Bullish/bearish divergences on Fast Line A with labeled confirmation. - OB/OS Return Signals: Clear buy/sell markers when Fast Line A exits oversold/overbought zones. - Dynamic Visuals: Gradient fills, line-to-line shading, and band gradients for instant market state recognition. - Flexible Coloring: Slow Line color by direction or zero-position; fast lines by sign. - Full Customization: Independent lengths, smoothing, visibility, and transparency — by adjusting the lengths of different lines, you can tailor results for various strategies; for example, enabling Line 4 and tuning its length allows trading based on crossovers between different lines. █ HOW IT WORKS? - Candle Pressure Calculation: Body = math.abs(close - open); avgBody = ta.sma(body, len). Direction = +1 (bull), –1 (bear), 0 (neutral). Weight = body / avgBody. Contribution = direction × weight. - Rolling Sum & Normalization: Sums contributions over lookback, normalizes to ±100 scale (÷ (len × 2) × 100). Smoothing: Applies primary EMA (smoothLen), with extra EMA on Slow Line for stability. Line Structure: - Slow Line = calcCPO(len1=20, smoothLen1=5) → extra EMA (5) - Fast Line A = calcCPO(len2=6, smoothLen2=7) - Fast Line B = calcCPO(len3=6, smoothLen3=10) - Line 4 = calcCPO(len4=14, smoothLen4=1) Divergence Detection: Uses ta.pivothigh/low on price and Fast Line A (pivotLength left/right). Bullish: lower price low + higher osc low. Bearish: higher price high + lower osc high. Valid within 5–60 bar window. Signals: - Buy: Fast Line A crosses above oversold (–30) - Sell: Fast Line A crosses below overbought (+30) - Slow Line color flip (direction or zero-cross) - Divergence labels ("Bull" / "Bear") - Band Coloring as Momentum Signal: When Fast Line A ≤ Fast Line B → Overbought band turns red (bearish pressure building) When Fast Line A > Fast Line B → Oversold band turns green (bullish pressure building) This dynamic coloring serves as visual confirmation of momentum shift following fast line crossovers Visualization: - Gradients: Fast B → Zero (multi-layer fade), Fast A ↔ B fill, OB/OS bands - Dynamic colors: Green/red based on sign or trend - Zero line + dashed OB/OS thresholds Alerts: Trigger on OB/OS returns, Slow Line changes, and divergences. █ SETTINGS AND CUSTOMIZATION - Line Visibility: Toggle Slow, Fast A, Fast B, Line 4 independently. Line Lengths: - Slow Line: Base (20), Primary EMA (5), Extra EMA (5) - Fast A: Lookback (6), EMA (7) - Fast B: Lookback (6), EMA (10) - Line 4: Lookback (14), EMA (1) - Slow Line Coloring Mode: “Direction” (trend-based) or “Position vs Zero”. - Bands & Thresholds: Overbought (+30), Oversold (–30), step 0.1. - Signals: Enable Fast A OB/OS return markers (default: on). - Divergence: Enable/disable, Pivot Length (default: 2, min 1). - Colors & Appearance: Full control over bullish/bearish hues for all lines, zero, bands, divergence, and text. Gradients & Transparency: - Fast B → Zero: 75 (default) - Fast A ↔ B fill: 50 - Band gradients: 40 - Toggle each gradient independently █ USAGE EXAMPLES The indicator allows users to configure various strategies manually, though no built-in alerts exist for them. Entry signals can include color of fast lines, crossovers between different lines, alignment of colors across lines, or consistency in direction. - Trend Confirmation: Slow Line above zero + green = bullish bias; below + red = bearish. - Entry Timing: Buy on Fast A crossing above –30 (circle marker), especially if Slow Line is rising or near zero. - Reversal Setup: Bullish divergence (“Bull” label) + Fast A in oversold + green gradient band = high-probability long. - Scalping: Fast A vs Fast B crossover in direction of Slow Line trend. - Noise Reduction: Increase extraSmoothLen on Slow Line █ USER NOTES - Best combined with volume, support/resistance, or trend channels. - Adjust lookback and smoothing to asset volatility. - Divergence delay = pivotLength; plan entries accordingly.
Pine Script® göstergesi
Uncle_the_shooter tarafından
2
[FS] Pivot Measurements# Pivot Measurements An advanced TradingView indicator that combines LuxAlgo's pivot point detection algorithm with automatic measurement calculations between consecutive pivots. ## Features ### Pivot Detection - **Regular Pivots**: Detects standard pivot highs and lows using configurable pivot length - **Missed Pivots**: Identifies missed reversal levels that occurred between regular pivots - **Visual Indicators**: - Regular pivot highs: Red downward triangle (▼) - Regular pivot lows: Teal upward triangle (▲) - Missed pivots: Ghost emoji (👻) - **Zigzag Lines**: Connects pivots with colored lines (solid for regular, dashed for missed) - **Ghost Levels**: Horizontal lines indicating missed pivot levels ### Measurement System - **Automatic Measurements**: Calculates price movements between consecutive pivots - **Visual Display**: - Transparent colored boxes (blue for upward, red for downward movements) - Measurement labels showing: - Price change (absolute and percentage) - Duration (bars, days, hours, minutes) - Volume approximation - **Smart Positioning**: Labels positioned outside boxes (above for upward, below for downward) - **Color Coding**: Blue for positive movements, red for negative movements ## Parameters ### Pivot Detection - **Pivot Length** (default: 50): Number of bars on each side to identify a pivot point - **Regular Pivots**: Toggle and colors for regular pivot highs and lows - **Missed Pivots**: Toggle and colors for missed pivot detection ### Measurements - **Number of Measurements** (1-10, default: 10): Maximum number of measurements to display - **Show Measurement Boxes**: Toggle to show/hide measurement boxes and labels - **Box Transparency** (0-100, default: 90): Transparency level for measurement boxes - **Border Transparency** (0-100, default: 50): Transparency level for box borders - **Label Background Transparency** (0-100, default: 30): Transparency level for label backgrounds - **Label Size**: Size of measurement labels (tiny, small, normal, large) ## Usage 1. Add the indicator to your chart 2. Configure the **Pivot Length** based on your timeframe: - Lower values for shorter timeframes (e.g., 10-20 for 1-5 min) - Higher values for longer timeframes (e.g., 50-100 for daily) 3. Adjust pivot colors and visibility as needed 4. Customize measurement display settings: - Set the number of measurements to display - Adjust transparency levels for boxes, borders, and labels - Choose label size ## Technical Details - **Pine Script Version**: v6 - **Pivot Detection**: Based on () algorithm for detecting regular and missed pivots - **Measurement Calculation**: - Measures between consecutive pivots (from most recent to older) - Calculates price change, percentage change, duration, and approximate volume - Automatically sorts pivots chronologically - **Performance**: Optimized with helper functions to reduce code duplication ## Notes - The indicator automatically limits the number of stored pivots to optimize performance - Measurements are only created when there are at least 2 pivots detected - All measurements are recalculated on each bar update - The indicator uses `max_bars_back=5000` to ensure sufficient historical data ## License This indicator uses LuxAlgo's pivot detection algorithm from (). Please refer to the original LuxAlgo license for pivot detection components.
Pine Script® göstergesi
SF_Trade tarafından
12
Rotating Messages (Rules or Motivational)This lightweight utility indicator allows you to display rotating custom text messages directly on your TradingView chart — perfect for reminders, trading rules, motivational quotes, or session notes. You can define multiple messages separated by semicolons (;) or new lines, and the indicator will automatically cycle through them based on time or bar count. Ideal for traders who want visual cues without cluttering the chart. ⚙️ Main Features ⏱ Time-based or bar-based rotation — switch messages every X seconds (real-time) or X bars (historical/backtest mode). 📍 Flexible positioning — choose between Top Right, Bottom Right, or Bottom Center. 📏 Vertical offset — move text up or down for perfect placement on your chart. 🎨 Custom styling — set text color, background color, border visibility, and text size. ✍️ Simple message input — enter your rules or quotes in a text box with support for multi-line messages.
Pine Script® göstergesi
exozeon tarafından
Analog Flow [KedArc Quant]Overview AnalogFlow is an advanced analogue based market projection engine that reconstructs future price tendencies by matching current price behavior to historical analogues in the same instrument. Instead of using traditional indicators such as moving averages, RSI, or regression, AnalogFlow applies pattern vector similarity analysis - a data driven technique that identifies historically similar sequences and aggregates their subsequent movements into a smooth, forward looking curve. Think of it as a market memory system: If the current pattern looks like one we have seen before, how did price move afterward? Why AnalogFlow Is Unique 1. Pattern centric - it does not rely on any standard indicator formula; it directly analyzes price movement vectors. 2. Adaptive - it learns from the same instrument's past behavior, making it self calibrating to volatility and regime shifts. 3. Non repainting - the projection is generated on the latest completed bar and remains fixed until new data is available. 4. Noise resistant - the EMA Blend engine smooths the projected trajectory, reducing random variance between analogues. Inputs and Configuration Pattern Bars Number of bars in the reference pattern window: 40 Projection Bars Number of bars forward to project: 30 Search Depth Number of bars back to look for matching analogues: 600 Distance Metric Comparison method: Euclidean, Manhattan, or Cosine (default Euclidean) Matches Number of top analogues to blend (1-5): Top 3 Build Mode Projection type: Cumulative, MeanStep, or EMA Blend (default EMA Blend) EMA Blend Length Smoothness of the projected path: 15 Normalize Pattern Enable Z score normalization for shape matching: true Dissimilarity Mode If true, finds inverse analogues for mean reversion analysis: false Line Color and Width Style settings for projection curve: Blue, width 2 How It Works with Past Data 1. The system builds a memory bank of patterns from the last N bars based on the scanDepth value. 2. It compares the latest Pattern Bars segment to each historical segment. 3. It selects the Top K most similar or dissimilar analogues. 4. For each analogue, it retrieves what happened after that pattern historically. 5. It averages or smooths those forward moves into a single composite forecast curve. 6. The forecast (blue line) is drawn ahead of the current candle using line.new with no repainting. Output Explained Blue Path The weighted mean future trajectory based on historical analogues. Smoother when EMA Blend mode is enabled. Flat Section Indicates low directional consensus or equilibrium across analogues. Upward or Downward Slope Represents historical tendency toward continuation or reversal following similar conditions. Recommended Timeframes Scalping / Short Term 1m - 5m : Short winLen (20-30), small ahead (10-15) Swing Trading 15m - 1h : Balanced settings (winLen 40-60, ahead 20-30) Positional / Multi Day 4h - 1D : Large windows (winLen 80-120, ahead 30-50) Instrument Compatibility Works seamlessly on: Stocks and ETFs Indices Cryptocurrency Commodities (Gold, Crude, etc.) Futures and F&O (both intraday and positional) Forex No symbol specific calibration needed. It self adapts to volatility. How Traders Can Use It Forecast Context Identify likely short term price path or drift direction. Reversal Detection Flip seekOpp to true for mean reversion pattern analysis. Scenario Comparison Observe whether the current regime tends to continue or stall. Momentum Confirmation Combine with trend tools such as EMA or MACD for directional bias. Backtesting Support Compare projected path versus realized price to evaluate reliability. FAQ Q1. Does AnalogFlow repaint? No. It calculates only once per completed bar and projects forward. The future path remains static until a new bar closes. Q2. Is it a neural network or AI model? Not in the machine learning sense. It is a deterministic analogue matching engine using statistical distance metrics. Q3. Why does the projection sometimes flatten? That means similar historical setups had no clear consensus in direction (neutral expectation). Q4. Can I use it for live trading signals? AnalogFlow is not a signal generator. It provides probabilistic context for upcoming movement. Q5. Does higher scanDepth improve accuracy? Up to a point. More depth gives more analogues, but too much can dilute recency. Try 400 to 800. Glossary Analogue A past pattern similar to the current price behavior. Distance Metric Mathematical formula for pattern similarity. Step Vector Difference between consecutive closing prices. EMA Blend Exponential smoothing of the projected path. Cumulative Mode Adds sequential historical deltas directly. Z Score Normalization Rescaling to mean 0 and variance 1 for shape comparison. Summary AnalogFlow converts the market's historical echoes into a structured, statistically weighted forward projection. It gives traders a contextual roadmap, not a signal, showing how similar past setups evolved and allowing better informed entries, exits, and scenario planning across all asset classes. Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and proper risk management when applying this strategy.
Pine Script® göstergesi
kedarcquant tarafından
Position Sizer (Share Qty) This indicator enables fast & accurate position sizing for traders using (user defined) fixed dollar risk, eliminating the need for manual calculations and supporting disciplined risk management directly on the chart Calculates precise share quantity for fixed-risk trades using the formula Shares = Risk Amount / (Current Price – Stop Price), rounded to the nearest whole share, updating in real time on every bar Offers two dynamic stop-loss options: Low of Day (LoD) — tracked only during Regular Trading Hours (9:30 AM – 4:00 PM ET) with automatic daily reset — or Low of Week (LoW) via weekly timeframe data Displays all critical trade data in a clean, customizable on-screen table showing: Risk Amount, Stop Loss type (LoD/LoW), Stop Price, and calculated Shares Qty Allows full table placement control with four corner positions with optional Top Offset and Bottom Offset (0–20 blank rows each) to prevent overlap with price action or other indicators Provides complete visual styling control for header text/background, value text/background, and share quantity text/background Ensures efficient rendering by recreating the table only when position, row count, or layout changes, deleting the prior instance to avoid flicker or memory issues Handles edge cases safely: shows 0 shares if stop is 'na' or above current price, and initializes LoD only on the first RTH bar of each session For use on equities only (table will not display on futures instruments) -- Future improvements: Visual Stop Loss line for either LoD or LoW Functionality and toggle to include Extended hours (PM /AH) for LoD stop pricing
Pine Script® göstergesi
CarpaccioTrades tarafından
Stoch PRO + Dynamic EMA (EMA cross)Stoch PRO + Dynamic EMA Documentation Overview: - Pine Script v6 overlay indicator combining a trend-colored EMA with a Stochastic oscillator to highlight midline momentum shifts. - Designed for TradingView charts (Indicators → Import) as a visual aid for timing entries within trend-following setups. - Crafted and optimized around BTCUSDT on the 4h timeframe; adapt inputs before applying to other markets or intervals. Inputs: - EMA Length (default 50): smoothing window for the dynamic EMA; lower values respond faster but whipsaw more. - Stochastic K Length (20): lookback for the raw %K calculation. - Stochastic K Smoothing (3): SMA applied to %K to reduce noise. - Stochastic D Smoothing (3): SMA over %K to produce the companion %D line. Visual Elements: - EMA plotted on price with linewidth 3; teal when close > EMA, fuchsia otherwise. - Background tinted teal/fuchsia at high transparency (≈92) to reinforce the current trend bias without obscuring price bars. Oscillator Logic: - %K = ta.stoch(high, low, close, kLength); smoothed with ta.sma(kRaw, kSmooth). - %D = ta.sma(k, dSmooth). - Focus is on the midline (50) rather than traditional 20/80 extremes to emphasize rapid momentum flips. Signals: - Buy: %K crossing above 50 while close > EMA (teal state). Plots tiny teal circle below the bar. - Sell: %K crossing below 50 while close < EMA (fuchsia state). Plots tiny purple circle above the bar. Trading Workflow Tips: - Use EMA/background color for directional bias, then confirm with %K 50-cross to refine entries. - Consider higher-timeframe trend filters or price-action confirmation to avoid range chop. - Stops often sit just beyond the EMA; adjust thresholds (e.g., 55/45) if too many false positives occur. - Always plan risk/reward upfront—define TP/SL levels that fit your strategy and backtest them thoroughly before trading live. Alerts & Extensions: - Wrap crossUp/crossDown in alertcondition() if TradingView alerts are needed. - For automation/backtesting, convert logic to a strategy() script or add position management rules.
Pine Script® göstergesi
DrewRS tarafından
Candlestick Combo Strategy - [CLEVER]📊 Strategy Name: Candlestick Combo Strategy – 🧠 Purpose This strategy is built to identify high-probability reversal or continuation setups based on a combination of classic Japanese candlestick patterns filtered through a trend indicator (50-period SMA) and volatility measure (ATR). It automatically executes long or short trades when multiple conditions align — giving traders a rules-based, mechanical approach to using price action patterns. ⚙️ Core Components Explained 1. Trend & Volatility Filters 50-period SMA (Simple Moving Average): Defines market direction. If price > SMA → Uptrend (only long signals considered). If price < SMA → Downtrend (only short signals considered). ATR (Average True Range): Used to measure volatility and define the size of candlestick patterns. Helps distinguish strong candles from normal noise. Also used to calculate stop-loss and target levels dynamically. 2. Candlestick Patterns Detected The script detects 8 classical patterns, some bullish (for long entries) and some bearish (for short entries). Each pattern has specific rules based on candle bodies, wicks, and relative positioning. 🟩 Bullish (Long) Patterns Pattern Description Mat Hold Strong bullish continuation: a long green candle, small consolidation, then another bullish breakout. Tower Bottom Reversal setup: large bearish candle, several small neutral candles (base), followed by a large bullish candle. Rising Window Gap-up pattern signaling bullish strength and momentum continuation. Bullish Marubozu Full-body bullish candle with little to no wicks — represents aggressive buying pressure. 🟥 Bearish (Short) Patterns Pattern Description Matching High Two strong bullish candles with nearly identical highs — signals exhaustion and potential reversal. Falling Window Gap-down continuation pattern — confirms bearish momentum. Bearish Marubozu Full-body bearish candle with minimal wicks — represents strong selling pressure. Long-Legged Doji High indecision after an uptrend — potential reversal warning when confirmed by trend filter. 3. Trade Signal Logic Long Signal: Generated when the market is in an uptrend and one of the bullish patterns forms. Short Signal: Generated when the market is in a downtrend and one of the bearish patterns appears. This ensures that signals align with the overall market structure and aren’t triggered in the opposite direction of momentum. 4. Risk Management & Trade Execution Each trade is managed with automatic stop-loss (SL) and take-profit (TP) levels based on recent price swings and risk-to-reward ratio. Stop-Loss (SL): For long trades → lowest low of the last 10 bars. For short trades → highest high of the last 10 bars. Target (TP): Based on user-defined risk:reward ratio (RR), default is 2:1. ATR Multiplier: Ensures only strong patterns (larger than average candle size) trigger trades. Trade Limiter: The strategy includes maxOpenTrades, which restricts how many trades can be open at once (default = 1), preventing overexposure. 5. Visual Signals Green Triangles (▲) → Long entry signals appear below candles. Red Triangles (▼) → Short entry signals appear above candles. These markers visually represent where the strategy detects valid setups. 💡 Trading Logic Summary Condition Requirement Trend Based on 50-SMA (uptrend = long, downtrend = short) Pattern Strength Verified using ATR for realistic volatility filtering Entry Triggered only when both trend and pattern align Exit Stop and target auto-calculated (Risk:Reward = configurable) Trade Control Limits number of concurrent open positions 🧩 Best Use Cases Timeframes: Works best on 1H, 4H, or daily charts. Markets: Suitable for Forex, indices, and commodities. Trading Style: Ideal for swing traders and technical analysts who prefer price action confirmation. ✅ Summary Table Feature Description Strategy Type Price Action + Candlestick Pattern Recognition Trend Filter 50-SMA Volatility Filter ATR-based Patterns Used 8 classic bullish/bearish candlestick formations Trade Management Auto SL/TP via recent swing levels Customization Adjustable ATR, SMA, Risk:Reward, and max trades Objective Identify high-probability reversal or continuation setups with disciplined risk control TVC:DXY OANDA:XAUUSD OANDA:AUDJPY CITYINDEX:GBPMXN CRYPTO:BTCUSD TVC:USOIL OANDA:USDCHF WHSELFINVEST:NOKJPY IBKR:SEKJPY
Pine Script® stratejisi
TheCleverTraders tarafından