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Keltnerchannel

Keltner Channels XLThis script plots a Keltner Channel built around a user-selected moving average (EMA or SMA) of price. The upper and lower bands are derived by adding and subtracting a volatility measure, which can be based on ATR, True Range, or a smoothed high–low range. Trend direction is determined by measuring the percentage change of the basis line over a configurable lookback period. That change is compared against a neutral threshold, which defaults to 0.05%. If the basis rises more than this threshold, it is classified as an uptrend; if it falls more than the threshold, it is classified as a downtrend. If the movement stays within that range, it is treated as neutral, meaning the market is effectively moving sideways. The basis line is plotted with increased thickness and changes color based on this trend classification. The channel bands and background fill adopt the same color, so the entire channel visually reflects whether the market is trending up, trending down, or consolidating.
Pine Script® 인디케이터
tgregg75의
ATC Keltner Channel Breakout System v1.3.0What It Is The ATC Keltner Channel Breakout System (ATC KCBS) is a breakout detection indicator built on one of the most reliable structural tools in technical analysis — the Keltner Channel — and rebuilt from the ground up to meet a higher quality standard. Most retail Keltner indicators do one thing: draw a channel and let you guess when a breakout means something. The ATC KCBS does something different. It filters every breakout signal through a volume confirmation gate built on Z-score normalization, so the only breakouts that get flagged are the ones backed by real, statistically significant participation — not routine price noise pushing outside the bands on low volume. The result is a cleaner, higher-quality signal set that respects your time and your capital. ________________________________________ Who It's Built For The ATC KCBS is designed for active traders focused on momentum breakouts — particularly on U.S. equities, index ETFs (QQQ, SPY), and futures (ES, NQ, CL, GC) during regular trading hours. It performs best on the 1-minute through 15-minute timeframe for intraday traders, and scales cleanly up to the 1-hour, 4-hour, and daily timeframes for swing traders. Default settings are optimized for QQQ on the 1-minute chart during RTH (Regular Trading Hours). ________________________________________ The Core Concept: What Is a Keltner Channel? A Keltner Channel consists of three lines plotted directly on your price chart: • A basis line — a smoothed moving average of price, acting as the channel's center of gravity • An upper band — the basis plus a multiple of the Average True Range (ATR) • A lower band — the basis minus that same ATR multiple When price is inside the channel, the market is respecting the channel's structure and typically moving in a mean-reverting or consolidating mode. When price closes outside either band, it signals that a breakout condition may be developing. The distance of the bands from the basis is dynamic — they widen during volatile markets and compress during quiet ones. The Keltner Channel is a better volatility envelope than Bollinger Bands for many breakout applications because ATR measures directional price movement rather than raw price deviation, which makes the channel walls more responsive to real market conditions. ________________________________________ The Upgrade: What Makes This Different Retail Keltner indicators treat all breakouts the same. A close above the upper band is a signal — end of story. The problem is that the majority of Keltner band breaks are low-conviction moves driven by thin conditions, choppy price action, or noise — not real directional momentum. The ATC KCBS adds two meaningful upgrades over the generic version: 1. HMA-Smoothed Basis The channel's center line uses a Hull Moving Average (HMA) instead of the standard simple moving average (SMA) or exponential moving average (EMA) found in most retail Keltner tools. HMA smoothing reduces lag without sacrificing responsiveness, so the basis line tracks price structure more accurately — and the channel bands it drives are positioned more precisely as a result. 2. Z-Score Normalized Volume Gate This is the core enhancement. Before any breakout gets confirmed, volume on that bar is measured against a rolling statistical baseline — specifically, a Z-score calculated against the trailing volume mean and standard deviation. A breakout only gets flagged if volume is sufficiently elevated above that baseline in statistical terms. This matters because a price close above the upper band with average or below-average volume is a very different event than the same close accompanied by a volume spike that is statistically exceptional relative to recent conditions. The volume gate filters the noise and focuses your attention on breakouts that have real conviction behind them. You can toggle the volume gate on or off and adjust the Z-score threshold directly in the indicator settings. ________________________________________ What You See on the Chart The ATC KCBS overlays directly on your price chart and renders the following: The Channel Three lines form the Keltner structure: the HMA basis in gold, and the upper and lower bands flanking it. The interior of the channel fills with a subtle color that reflects the current market state, making it easy to see at a glance whether conditions are bullish, bearish, compressing, or expanding. Regime Color Coding The channel fill, band colors, and background tint all update dynamically to communicate the current market regime: • Green tones indicate an active bullish breakout bias • Red tones indicate an active bearish breakout bias • Blue tones indicate a channel expansion regime (rising volatility) • Grey tones indicate a channel compression regime (contracting volatility, potential coiling before a move) • Gold (default) indicates a neutral, ready state This color system means you can scan your chart and immediately understand the context without reading anything. Green channel = bullish momentum active. Grey channel = market coiling. Breakout Markers When a confirmed breakout fires — meaning price has closed beyond the band AND volume has passed the Z-score threshold — the indicator places labeled markers directly on the chart at that bar. Bullish breakouts receive a green triangle and an "LONG" label. Bearish breakouts receive a red triangle and an "SHORT" label. These markers only appear when both conditions are met. If the volume gate doesn't pass, no marker appears, even if price is outside the band. Breakout Tags In addition to the edge markers, the indicator plots branded "LONG CONFIRM" and "SHORT CONFIRM" labels near the breakout bar for additional visual clarity. You can control how many recent tags stay visible on the chart at one time via the settings. Bar and Background Tinting During an active breakout bias, candle bars are tinted with the direction color (green for bullish, red for bearish) to help you maintain context as the bias holds. A subtle background tint reinforces the same state. Both are individually toggleable if you prefer a cleaner look. ________________________________________ The HUD (Heads-Up Display) The ATC KCBS contains a HUD panel that surfaces live data without cluttering your chart. The ATC KCBS HUD displays: • Live State — the current overall status of the indicator, displayed prominently in the header row. Possible values: BULLISH, BEARISH, COMPRESSION, EXPANSION, or READY. • Bias — whether a breakout bias is currently active, and how many bars remain in the bias hold window. • Regime — the current channel regime (Compression, Expansion, or Neutral). • Location — where price is relative to the channel right now: Inside Channel, Outside Upper, or Outside Lower. • Price vs Basis — whether price is currently above or below the HMA basis, expressed in ticks for precision. • Vol Gate — the real-time status of the volume gate. Shows PASS with the current Z-score when the threshold is met, or WAIT with the current Z-score when it is not. This is one of the most useful readouts in the HUD — it tells you exactly how close volume is to confirming the next breakout signal. • Width — current channel width expressed in ticks. • Width Z — the Z-score of current channel width relative to its own rolling history. Negative values indicate the channel is narrower than usual (compression). Positive values indicate it is wider than usual (expansion). The HUD is available in dark and light themes and can be positioned in any corner of the chart. ________________________________________ The Regime Engine Beneath the visual layer, the ATC KCBS tracks a volatility regime state based on where the channel width Z-score sits relative to empirically-derived thresholds. This is not a binary switch — the regime uses a hysteresis band to prevent false flickering at the threshold boundaries. • Compression is flagged when channel width drops significantly below its historical average, indicating the market is coiling. Compression is often a precursor to a sharp directional move. When you see COMPRESSION on the HUD and in the grey channel, the market is telling you it is building energy. • Expansion is flagged when channel width rises significantly above its historical average, indicating volatility is increasing. Expansion during an active breakout is a confirmation of momentum. Expansion during a neutral bias can signal that conditions are becoming active. • Neutral is the default state between compression and expansion. These regime states are displayed in the HUD, reflected in the channel color, and feed directly into the overall live state displayed in the header row. ________________________________________ The Breakout Bias Hold When a confirmed breakout fires, the indicator does not simply mark the bar and reset. It sets an active directional bias that persists for a configurable number of bars (default: 5). During the bias hold window, the HUD shows the direction and the bars remaining in the hold. The channel and background colors reflect the active bias throughout. The bias clears early if price returns inside the channel before the hold window expires. This gives you a simple, clean way to track whether post-breakout price action is confirming the move or reversing it. ________________________________________ Alerts The ATC KCBS includes two configurable alert conditions: • Alert on Bullish Breakout — fires when a confirmed bullish breakout occurs (price closes above the upper band with volume gate passed) • Alert on Bearish Breakout — fires when a confirmed bearish breakout occurs (price closes below the lower band with volume gate passed) Both can be toggled independently. To use them, set up your alert in TradingView and select the appropriate condition. The alert message includes the ticker and timeframe for easy identification in multi-alert setups. ________________________________________ How to Trade With It The ATC KCBS is a breakout signal tool. Its primary job is to tell you when a channel break has real participation behind it, and to maintain context about the market's current volatility regime. Here is a practical framework for using it: Step 1 — Read the Regime First Before anything else, check the regime. If the HUD says COMPRESSION and the channel is grey, the market is coiling. This is a waiting state — not a trading state. Watch for a breakout to develop as the regime transitions. If the HUD says EXPANSION and the channel is blue, volatility is already elevated. Breakouts in expansion regimes tend to be more energetic but can also be more erratic. Confirmation from your other confluence tools matters more here. Step 2 — Watch the Volume Gate The Vol Gate row in the HUD is your pre-signal radar. When the market starts approaching the upper or lower band, watch the Vol Gate reading. If volume is already elevated (Z-score approaching or above the threshold), a breakout with confirmation is more likely. If volume is flat, a band touch is more likely to be noise. Step 3 — Wait for the Confirmation Marker Do not trade the touch of the band. Trade the confirmed close. A confirmed breakout is defined as: price closes beyond the band AND the volume Z-score exceeds the threshold. The "LONG CONFIRM" or "SHORT CONFIRM" label on the chart is your signal. Step 4 — Assess Post-Breakout Price Action Within the Bias Hold Once a confirmed breakout fires, monitor the bias hold countdown in the HUD. If price holds above the band (bullish) or below the band (bearish) during the hold window, the breakout is showing follow-through. If price returns inside the channel before the hold expires, treat it as a failed breakout and step aside. Step 5 — Use the Channel as a Reference After Entry After entering on a confirmed breakout, the HMA basis becomes your key reference level. The basis is a smoothed representation of where the market's center of gravity is. Price above the basis on a bullish breakout is good. Price that retreats to the basis quickly after the breakout is a warning. ________________________________________ Settings Reference The indicator's settings are organized into clearly labeled groups: Channel Configuration — Controls the HMA basis length, ATR length, and ATR multiplier. The defaults are optimized for QQQ on the 1-minute chart. Increase the basis length for smoother, slower channel response on higher timeframes. Volume Gate — Toggle the volume confirmation requirement on or off. Adjust the Z-score lookback window and threshold. The default threshold (3.6) is calibrated for the optimized QQQ 1-minute profile. On other instruments or timeframes, a threshold between 1.0 and 2.0 is typically a reasonable starting point. Session — Set the trading session and timezone. Defaults to the U.S. Regular Trading Hours session (9:30 AM — 4:00 PM Eastern). Extended hours users should adjust accordingly. Visuals — Control all color settings, fill opacity, glow opacity, background tint, and bar tinting. Every visual element is independently adjustable. ATC's default palette (green, red, gold, grey, blue) is applied by default. Signal Styling — Set the breakout tag text color and the maximum number of recent breakout tags kept on the chart. Alerts — Toggle bullish and bearish alert conditions independently. ________________________________________ Intended Instruments and Timeframes Validated for: ES, NQ, CL, GC (futures), SPY, QQQ (ETFs), major FX pairs, large-cap equities Recommended timeframes: 1-minute, 5-minute, 15-minute, 1-hour, 4-hour, Daily Default profile optimized for: QQQ, 1-minute, Regular Trading Hours
Pine Script® 인디케이터
ATConcepts의
Aegis Custom Trend Band & Power Candles [wjdtks255]■ 1. Purpose and Methodology Custom Trend Band & Power Candles is a trend-following execution system designed to address the "False Breakout" problem common in standard volatility indicators. Instead of simply overlaying EMA and Keltner Channels, this script integrates them through a "Momentum-Filtered Candle Mapping" logic. It identifies the "Power Phase" of a trend by requiring price action to align with the primary baseline before triggering a volatility breach signal. ■ 2. Unique Features & Technical Logic Dynamic Power Candle Engine: The script recolors bars based on a specific dual-condition. Bars turn Yellow (#FFFF00) only when the close is above the 20 EMA and higher than the open. Conversely, bars turn Purple (#800080) when below the 20 EMA and lower than the open. This provides a cleaner psychological experience and immediate trend bias confirmation. Volatility Synergy (Keltner Channels): The indicator uses a 1.5x ATR multiplier for its Keltner boundaries. The logic dictates that a signal (Triangle) is only valid if a confirmed Power Candle breaches these boundaries, ensuring that entries are backed by both trend direction and volume expansion. Synergistic Filtering: By merging trend position (EMA) with volatility expansion (KC), the script minimizes whipsaws during choppy, low-volatility periods (indicated by Gray candles). ■ 3. How to Use Long Entry (BUY): Wait for a Yellow Triangle. This signifies that a Bullish Power Candle has successfully broken through the upper volatility resistance. Short Entry (SELL): Wait for a Purple Triangle. This indicates a Bearish Power Candle has breached the lower volatility support. Exit Strategy: A shift back to Gray candles suggests that the momentum phase has normalized, serving as a potential signal to take profits or tighten stop-losses. ■ 4. Disclaimer This indicator is for educational and analytical purposes only. Past performance is not indicative of future results, and no specific win rate is guaranteed. Traders should always apply proper risk management.
Pine Script® 인디케이터
wjdtks255의
[ A L P H A X ] Bollinger/Keltner Volatility Pressure SystemAlphaX Volatility Pressure System — Bollinger/Keltner Squeeze Detection, Linear Regression Forecast, Multi-Confluence Band Touch Signals, Volatility Regime Classification & Institutional Dashboard AlphaX Volatility Pressure System (VPS) is a professional-grade volatility analysis and signal system built on the interaction between Bollinger Bands and Keltner Channels — the foundation of squeeze-based trading. It combines a proprietary multi-layer squeeze engine, linear regression band forecasting, a six-factor confluence scoring system, and a comprehensive real-time dashboard into a single cohesive overlay. Designed and default-tuned for XAUUSD (Gold) on the 1-minute timeframe, fully adaptable to any instrument or timeframe. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📸 Visual Overview The indicator displays Bollinger Bands as a gradient cloud, Keltner Channel boundaries as dotted lines, squeeze status dots on the basis line, a projected forecast envelope extending into the future, confidence-scored entry signals at band touches, mean reversion exit markers, and a full diagnostic dashboard — all in a clean, non-cluttered layout with a consistent yellow-green / red / gray color theme. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 The Volatility Pressure Architecture — How It Works At the core of AlphaX VPS is the principle that volatility is cyclical — periods of compression (low volatility) are followed by periods of expansion (high volatility), and vice versa. The system detects exactly where you are in this cycle and provides actionable intelligence at every stage. The system operates through seven integrated layers: Layer 1 — Bollinger Bands (Volatility Envelope) A Simple Moving Average (SMA) basis line with standard deviation bands above and below Default: 30-period SMA with 2.2x multiplier — tuned for gold's micro-noise on 1-minute charts The bands expand during volatile moves and contract during consolidation Price touching or piercing the outer bands represents statistical extremes — potential reversal zones The space between upper and lower bands is rendered as a gradient cloud that shifts color based on price position relative to the basis — yellow-green when price is above basis (bullish pressure), red when below (bearish pressure) Layer 2 — Keltner Channels (ATR Volatility Wrapper) An Exponential Moving Average (EMA) center line with Average True Range (ATR) bands Default: 30-period EMA with 1.8x ATR multiplier using 20-period ATR — calibrated for gold Keltner Channels represent the "normal" volatility range based on true range, while Bollinger Bands represent statistical deviation — the relationship between them reveals compression and expansion states Plotted as subtle dotted lines at the channel boundaries for clean visual reference without chart clutter Layer 3 — Squeeze Engine Squeeze ON — detected when Bollinger Bands contract inside the Keltner Channel (BB upper < KC upper AND BB lower > KC lower). This means volatility has compressed below normal levels — a spring is being loaded Squeeze Release — the first bar where BB breaks back outside KC after a squeeze period. This is the explosive moment where the compressed energy releases into a directional move Squeeze status is displayed as colored dots on the BB basis line: red dots during active squeeze, yellow-green dots on squeeze release, gray dots during normal conditions Squeeze Momentum — a John Carter-style linear regression calculation determines the direction of the squeeze release: bullish momentum (price likely to break upward) or bearish momentum (price likely to break downward) Squeeze release events generate flash markers on the chart: "⚡ SQ↑" for bullish releases, "⚡ SQ↓" for bearish releases The dashboard tracks how many of the last 20 bars were in squeeze state — prolonged squeezes (12+ bars) tend to produce the most explosive releases Layer 4 — Linear Regression Forecast A forward-looking projection of the Bollinger Band envelope using linear regression slopes The system calculates the current slope of both the BB basis and the BB deviation, then projects them forward by the configured number of bars (default: 20 bars = 20 minutes on 1-minute chart) The projection is smoothed using a weighted blend from current values to forecasted values, preventing jarring visual jumps Displayed as a projected envelope with upper, basis, and lower forecast lines, plus a filled forecast cloud Forecast color reflects projected direction: yellow-green if the basis is projected to rise, red if projected to fall Price labels at the forecast endpoints show the projected upper and lower band values — giving you concrete target levels A minimum bandwidth floor prevents the forecast from collapsing to zero during extreme compression Layer 5 — Trend EMA A 100-period Exponential Moving Average provides macro trend context Color-coded: yellow-green when price is above (bullish structure), red when below (bearish structure) The EMA slope direction (rising vs. falling over 3 bars) is factored into the confluence scoring system Acts as a structural filter — signals aligned with the EMA trend receive bonus confidence, signals against it receive penalties Layer 6 — RSI Filter A 14-period Relative Strength Index provides momentum confirmation Oversold threshold at 30, overbought at 70 — stricter than typical settings to filter gold noise RSI must be in a supportive zone for signals to fire: below 45 for bullish signals, above 55 for bearish signals Deeply oversold or overbought RSI readings contribute up to 15 points to the confluence score Layer 7 — Volatility Regime Classification The system continuously classifies the current market state into one of five regimes: SQUEEZE 🔴 — BB inside KC, volatility compressed, spring loading RELEASE ⚡ — first bar after squeeze ends, explosive move initiating EXPANSION 📈 — bandwidth increasing and price trending directionally COMPRESSION — bandwidth decreasing, volatility contracting RANGING — no clear volatility trend, sideways movement The current regime is displayed prominently in the dashboard and influences signal generation — signals during active squeeze are blocked entirely ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Signal System — Band Touch Signals AlphaX VPS generates two types of chart signals: Entry Signals at band extremes and Exit Markers at mean reversion. Entry Signals ( ⬆ / ⬇ ) Entry signals appear when price touches or pierces a Bollinger Band while multiple confluence factors align to confirm a high-probability reversal setup. Bullish Entry (⬆) — a yellow-green label below the bar indicating a potential long opportunity: Price touches or pierces the lower Bollinger Band Confluence score meets the minimum confidence threshold (default: 60%) RSI is below 45 (supportive of oversold bounce) Volume is above average (institutional participation confirmed) A swing low structure is present near the band (not just a random wick) Candle shows bullish rejection — either a bullish close or a long lower wick (>50% of candle range) Market is NOT in active squeeze (signals blocked during compression) Cooldown period has elapsed since last bullish signal (default: 15 bars) Bearish Entry (⬇) — a red label above the bar indicating a potential short opportunity: Price touches or pierces the upper Bollinger Band Confluence score meets the minimum confidence threshold RSI is above 55 (supportive of overbought reversal) Volume is above average A swing high structure is present near the band Candle shows bearish rejection — either a bearish close or a long upper wick Market is NOT in active squeeze Cooldown period has elapsed since last bearish signal Each signal label displays the tier rating and confidence percentage : S-Tier (80%+) — exceptional setup, maximum confluence — highest probability A-Tier (70–79%) — strong setup, most factors aligned B-Tier (60–69%) — decent setup, adequate confluence for a trade with proper risk management Signals below B-Tier are automatically filtered out and never displayed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Exit Markers ( ✕ ) After an entry signal fires, the system tracks position direction and monitors for mean reversion to the BB basis line : Long Exit ✕ — appears when price crosses back above the BB basis after a bullish entry, indicating the mean reversion target has been reached Short Exit ✕ — appears when price crosses back below the BB basis after a bearish entry, indicating the mean reversion target has been reached Exit markers serve as profit-taking signals — the statistical edge of a band touch trade is the reversion to the mean (basis line). Once price reaches the basis: Take partial or full profit Tighten stop loss to breakeven Wait for the next band touch signal before re-entering ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 Multi-Confluence Confidence Scoring System Every entry signal is evaluated by a real-time scoring engine that produces a confidence percentage from 0% to 100%. This is not a simple threshold check — it is a weighted multi-factor assessment that rewards alignment and penalizes contradiction. Scoring Factors — Bullish Signals: Band Touch Quality (up to 20 points) How deeply price pierced the lower Bollinger Band Pierce depth >5% of band width = 20 points (strong penetration) Any pierce = 15 points Near-touch (within 0.1%) = 10 points %B Position (up to 10 points) Bollinger %B measures where price sits within the band range (0 = lower band, 1 = upper band) %B below 0 (outside lower band) = 10 points %B below 0.05 = 8 points %B below 0.15 = 5 points RSI Depth (up to 15 points) RSI below 20 = 15 points (deeply oversold) RSI below 25 = 12 points RSI below 30 = 10 points RSI below 40 = 3 points EMA Trend Alignment (up to 10 points) Price above 100 EMA AND EMA slope rising = 10 points (full alignment) Price above 100 EMA only = 5 points Squeeze Release Confluence (up to 10 points) Squeeze just released with bullish momentum = 10 points (explosive setup) Bullish squeeze momentum without active squeeze = 5 points Candle Rejection Pattern (up to 10 points) Long lower wick (>50% of range) + bullish close = 10 points (textbook rejection) Long lower wick only = 7 points Bullish close only = 3 points Volume Confirmation (up to 10 points) Above-average volume + bullish close = 10 points (institutional buying) Above-average volume only = 5 points MACD Momentum (up to 8 points) MACD line above signal line OR histogram rising for 2+ bars = 8 points 200 SMA Structure (up to 7 points) Price above 200 SMA = 7 points (macro trend support) Penalty Deductions: Price BELOW EMA trend = -15 points (counter-trend signal) RSI above 55 = -12 points (momentum doesn't support reversal) Active squeeze = -8 points (wait for release) Expanding but directionless = -5 points No volume spike when volume filter enabled = -5 points Bearish candle rejection present = -10 points (wrong candle structure) The same structure applies to bearish signals with inverted logic — upper band touch, overbought RSI, price below EMA, bearish rejection candles, etc. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🛡 Signal Quality Gates — Why This Indicator Produces Clean Signals Beyond the confidence score, every signal must pass through six independent quality gates before it can appear on the chart. If any single gate fails, the signal is blocked entirely — regardless of the confidence score: Gate 1 — Band Touch Gate Price must actually reach or pierce the Bollinger Band (within 0.1%) Signals near the middle of the bands are impossible — only statistical extremes qualify Gate 2 — RSI Zone Gate Bullish signals require RSI below 45 Bearish signals require RSI above 55 This prevents signals when momentum is neutral or contradictory Gate 3 — Volume Gate Volume must exceed the 20-period volume moving average multiplied by 1.2x Low-volume band touches are often noise — this gate requires institutional participation Can be toggled off for instruments with unreliable volume data Gate 4 — Swing Structure Gate A swing low must be present within the last 3 bars for bullish signals (price formed a local bottom) A swing high must be present within the last 3 bars for bearish signals (price formed a local top) This prevents signals on through-band breakdowns where price is accelerating through the band, not bouncing off it Can be toggled off for faster signal generation Gate 5 — Candle Confirmation Gate Bullish signals require either a bullish candle close (close > open) or a bullish rejection wick (lower wick > 50% of total range) Bearish signals require either a bearish candle close or a bearish rejection wick This confirms that price is actually rejecting the band level, not just touching it on the way through Gate 6 — Squeeze Block Gate No signals fire during active squeeze (BB inside KC) During squeeze, volatility is compressed and band touches are unreliable — the bands themselves are artificially narrow Signals resume after squeeze releases Gate 7 — Cooldown Gate A minimum of 15 bars (15 minutes on 1-minute chart) must elapse between signals of the same direction Prevents signal spam during choppy band-walking conditions This seven-gate architecture is why AlphaX VPS produces significantly fewer but higher-quality signals compared to basic Bollinger Band indicators. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Identifying Choppy / Ranging Markets — When NOT to Trade Knowing when to stay out is just as important as knowing when to enter. AlphaX VPS provides multiple visual cues for choppy, range-bound conditions: How to identify choppy conditions: BB Cloud is extremely narrow — when the Bollinger Bands contract tightly, the cloud between upper and lower bands becomes paper-thin. Narrow bands = low volatility = no clean directional moves. Squeeze dots are RED for extended periods — prolonged red dots on the basis line mean BB is trapped inside KC. While this predicts an eventual explosive move, trading during the squeeze is a losing strategy. Wait for the yellow-green release dot. Forecast cloud is flat and narrow — if the projected envelope shows no significant expansion or directional slope, the system expects continued compression. No expansion forecast = no trade. Regime dashboard shows "COMPRESSION" or "RANGING" — the volatility regime classifier explicitly tells you the current state. These regimes have the lowest signal quality. No signals appearing despite price touching bands — this means the quality gates are doing their job. If you see band touches but no labels, the confluence score is too low or a gate is blocking. Trust the filter. EMA (100) is flat and price is oscillating around it — no trend, no edge. Basis distance in dashboard shows very small percentage — price is hugging the basis line, meaning there is no stretched rubber band to snap back. Mean reversion trades need extension first. What to do during choppy markets: Do not force trades — wait for squeeze release (yellow-green dot + ⚡ marker) Watch for the forecast cloud to start expanding and tilting directionally Monitor the regime dashboard — wait for "RELEASE ⚡" or "EXPANSION 📈" to appear Consider moving to a higher timeframe where structure may be clearer Use the squeeze bar counter in the dashboard — once squeeze bars reach 12+/20, the release is likely imminent ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Trade with AlphaX VPS — Step by Step Step 1 — Assess Market Regime Check the dashboard REGIME field: Is it EXPANSION, COMPRESSION, SQUEEZE, or RANGING? Check the Bollinger Band cloud width: Is it expanded or collapsed? Check squeeze dots: Red = stay out. Gray = normal. Yellow-green = just released. If the regime is SQUEEZE or COMPRESSION → do not trade. Wait for RELEASE or EXPANSION. Step 2 — Monitor the Forecast Look at the projected envelope ahead of current price Is the forecast expanding or narrowing? What direction is the basis slope? A widening forecast with a clear directional slope tells you where the bands are heading The forecast upper and lower price labels give you concrete projected targets Step 3 — Wait for a Band Touch Signal Do not chase price in the middle of the bands — wait for price to reach an extreme A ⬆ or ⬇ label will appear only when all seven quality gates pass and the confidence score meets your threshold The label shows the tier (S/A/B) and exact confidence percentage — use this to size your position (higher confidence = larger size) Step 4 — Enter the Trade Enter on the signal bar's close (signals are confirmed on bar close, non-repainting) Place your stop loss beyond the Bollinger Band that was touched (for bullish: below the lower band, for bearish: above the upper band) Your profit target is the BB basis line (mean reversion target) — the system will mark this with a ✕ when reached Step 5 — Manage and Exit Watch for the ✕ exit marker — this appears when price crosses back to the BB basis Take partial or full profit at the basis line If price continues past the basis toward the opposite band, you can trail your stop using the basis line as your new stop level If a new signal appears in the same direction before the exit triggers, it can be used to add to the position Step 6 — Squeeze Release Trades (Advanced) When you see the "⚡ SQ↑" or "⚡ SQ↓" release marker, this is a momentum breakout setup The squeeze release direction (bull/bear) is determined by the squeeze momentum calculation Enter in the direction of the release These moves tend to be explosive — use wider stops and larger targets than mean reversion trades The forecast projection will often show an expanding envelope in the direction of the release — use the forecast band endpoints as extended targets ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📋 Real-Time Dashboard — Complete Market Intelligence The dashboard provides a comprehensive snapshot of every metric the system monitors, organized into five sections: ─── VOLATILITY ─── REGIME — Current volatility state (Squeeze / Release / Expansion / Compression / Ranging) with color-coded background BANDWIDTH — Current BB width as percentage of basis, colored relative to its 50-period average (narrow = green/opportunity, wide = red/extended) BB %B — Where price sits within the bands (0% = lower band, 100% = upper band). Extreme readings are color-highlighted SQUEEZE BARS — How many of the last 20 bars were in squeeze (higher = more compressed = bigger expected release) KC RELATION — Whether BB is inside KC (squeeze), above KC (expansion), or near KC (transition) ─── MOMENTUM ─── RSI — Current RSI value with zone label (OB/OS/HIGH/LOW/MID) and appropriate coloring EMA — Trend direction based on price vs. 100 EMA and EMA slope (▲ BULL / ▲ RISING / ▼ BEAR / ▼ FALLING) SQ MOMENTUM — Squeeze momentum direction and strength (▲▲ STRONG UP / ▲ RISING / ▼▼ STRONG DOWN / ▼ FALLING / — FLAT) MACD — MACD momentum status (▲ BULLISH / ▼ BEARISH / — NEUTRAL) VOLUME — Whether current volume exceeds the moving average threshold (▲ ABOVE AVG / — NORMAL) ─── CONFIDENCE ─── BULL CONF — Current bullish confluence score with tier rating (S-TIER / A-TIER / B-TIER / C-TIER / LOW) BEAR CONF — Current bearish confluence score with tier rating These update in real-time so you can see confluence building before a signal fires ─── FORECAST ─── BASIS SLOPE — Direction the BB basis is heading (▲ RISING / ▼ FALLING / — FLAT) BAND FORECAST — Whether bands are projected to widen (▲ WIDENING) or narrow (▼ NARROWING) or remain stable ─── STRUCTURE ─── SMA 200 — Price position relative to 200 SMA (▲ ABOVE / ▼ BELOW) — macro trend context ─── TRADE STATE ─── POSITION — Current tracked position direction (▲ LONG / ▼ SHORT / — FLAT) with color-coded background BASIS DISTANCE — How far price is from the BB basis as a percentage — measures extension and mean reversion potential Dashboard position (Top Left / Top Right / Bottom Left / Bottom Right) and text size (Tiny / Small / Normal) are configurable. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 📊 Bollinger Bands with gradient trend cloud — instant visual of price position within the volatility envelope 🔷 Keltner Channels with ATR-based boundaries — the volatility reference for squeeze detection 🔴 BB/KC Squeeze Engine — detects compression, tracks squeeze duration, classifies release direction ⚡ Squeeze Release Flash Markers — "⚡ SQ↑" and "⚡ SQ↓" labels mark the explosive moment 🔭 Linear Regression Forecast — projects the band envelope forward with directional slope and price targets 🎯 Multi-confluence band touch signals — six-factor scoring with seven independent quality gates 📐 Volume filter — requires above-average volume for signal confirmation (toggleable) 🏗 Swing structure filter — requires local swing formation near bands (toggleable) 🕯 Candle rejection analysis — wick ratio and close direction confirmation 📈 MACD momentum integration — histogram trend confirmation within the scoring system 📏 200 SMA macro structure — long-term trend context for scoring 📐 100 EMA trend filter — intermediate trend direction and slope analysis ✕ Mean reversion exit markers — automatic profit target detection at the BB basis 🏷 Tiered signal labels — S / A / B tier with confidence percentage for position sizing decisions 📋 22-row real-time dashboard — complete market intelligence across volatility, momentum, confidence, forecast, structure, and trade state 🎨 Cohesive dual-tone color theme — yellow-green for bullish, red for bearish, orange for neutral, gray for inactive 🔔 11 alert conditions — S-Tier, A-Tier, and any-tier for both bull and bear, plus squeeze releases and exits ⚙ Fully configurable — all periods, multipliers, thresholds, colors, gates, and dashboard settings adjustable from the settings panel 🚫 No candle coloring — clean chart by default, your candles remain untouched 📏 Non-repainting — all signals confirmed on bar close ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference 📊 Bollinger Bands BB Length — SMA period for the basis line (default: 30) BB Multiplier — standard deviation multiplier for band width (default: 2.2) Source — price source for calculations (default: close) Show BB Cloud — toggle the gradient band fill 🔷 Keltner Channel KC Length — EMA period for the center line (default: 30) KC ATR Multiplier — ATR multiplier for channel width (default: 1.8) KC ATR Length — ATR calculation period (default: 20) Show KC Lines — toggle Keltner boundary display ⚡ Squeeze Show Squeeze Dots — toggle colored dots on the basis line Alert on Squeeze Release — enable squeeze release alerts 🔭 Forecast Show Regression Forecast — toggle the projected envelope Forecast Bars — how many bars forward to project (default: 20) 🎯 Signals Show Band Touch Signals — master toggle for entry labels Min Confidence % — minimum confluence score required (default: 60%) Signal Cooldown — minimum bars between same-direction signals (default: 15) Show Mean Reversion Exits — toggle ✕ exit markers 📈 RSI Filter RSI Length — calculation period (default: 14) RSI Oversold — threshold for oversold scoring bonus (default: 30) RSI Overbought — threshold for overbought scoring bonus (default: 70) 📐 EMA Trend Filter Show Trend EMA — toggle the 100 EMA display EMA Length — EMA period (default: 100) 📊 Volume Filter Use Volume Confirmation — enable/disable volume gate (default: ON) Volume Threshold Multiplier — how far above average volume must be (default: 1.2x) Volume MA Length — period for volume moving average (default: 20) 🏗 Structure Filter Use Swing Structure Filter — enable/disable swing gate (default: ON) Swing Lookback — bars to check for swing formation (default: 3) 🎨 Colors Bull Primary — yellow-green family for all bullish elements Bear Primary — red family for all bearish elements Basis / Neutral — orange for basis and neutral elements Squeeze ON / OFF / Neutral — dot colors for squeeze states Forecast Bull / Bear — projection envelope colors Dashboard BG / Text / Neutral — dashboard styling 📋 Dashboard Show Dashboard — master toggle Position — corner placement (default: Top Right) Text Size — Tiny / Small / Normal (default: Small) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 Alert Conditions S-Tier Bull Band Touch — fires when a bullish signal with 80%+ confidence appears A-Tier Bull Band Touch — fires when a bullish signal with 70–79% confidence appears Any Bull Band Touch — fires on any bullish signal meeting minimum threshold S-Tier Bear Band Touch — fires when a bearish signal with 80%+ confidence appears A-Tier Bear Band Touch — fires when a bearish signal with 70–79% confidence appears Any Bear Band Touch — fires on any bearish signal meeting minimum threshold Any Band Touch Signal — fires on any entry signal regardless of direction Squeeze Release — Bullish — fires on bullish squeeze release Squeeze Release — Bearish — fires on bearish squeeze release Any Squeeze Release — fires on any squeeze release Long Exit — Mean Reversion — fires when a long position reaches the BB basis Short Exit — Mean Reversion — fires when a short position reaches the BB basis All alert messages include {{ticker}}, {{interval}}, and {{close}} placeholders for webhook integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Default Settings — Optimized For The default configuration is specifically tuned for XAUUSD (Gold) on the 1-minute timeframe : BB Length 30 and Multiplier 2.2 — smooths gold's micro-noise and widens bands to reduce false touches KC Length 30 and ATR Multiplier 1.8 — matched to BB for proper squeeze detection on gold Confidence threshold at 30% — aggressively filters low-quality signals while keeping genuine setups Cooldown at 4 bars (4 minutes) — prevents signal spam during volatile gold transitions Volume filter enabled with 1.2x threshold — confirms institutional participation Swing structure filter enabled — requires actual price structure, not random wicks 100 EMA provides ~1.5 hours of trend context on 1-minute 20-bar forecast projects 20 minutes ahead — practical for scalping decisions For other instruments or timeframes, adjust: Higher timeframes (5m, 15m, 1H) — reduce BB Length to 20–25, reduce confidence to 45–55%, increase forecast bars to 30–50 Forex majors (EURUSD, GBPUSD) — reduce BB Multiplier to 2.0, reduce KC ATR Multiplier to 1.5, keep confidence at 50–60% Indices (NAS100, US30, SPX500) — use defaults or increase BB Length to 35–40 for broader structure Crypto (BTCUSD, ETHUSD) — increase BB Multiplier to 2.5, increase cooldown to 20–25 bars due to higher volatility Less noise / fewer signals — increase Min Confidence to 70%+, increase Cooldown, enable all gates More signals / aggressive scalping — decrease Min Confidence to 40–50%, reduce Cooldown to 8–10, disable Swing Structure gate ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 🥇 Gold (XAUUSD) scalpers and intraday traders — built and default-tuned specifically for gold's volatility, noise profile, and session structure 📊 Bollinger Band traders — if you trade band touches and mean reversion, this system adds institutional-grade filtering to your existing strategy ⚡ Squeeze traders — the BB/KC squeeze engine with momentum direction and release markers provides a complete squeeze trading system 📉 Forex and index traders — applicable to all major instruments with minor setting adjustments 🧠 Systematic traders — the confidence scoring system provides a quantitative framework for position sizing and trade selection 📈 Traders who value clean charts — no indicator clutter, no candle painting, no overlapping signals. One cohesive system with consistent color coding ⚠ Traders who struggle with overtrading — the seven quality gates physically prevent low-quality signals from appearing. You cannot overtrade what you cannot see 🔭 Forward-looking traders — the regression forecast gives you a projected roadmap that most indicators do not provide ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes All calculations are non-repainting — signals are confirmed on bar close only The linear regression forecast updates on each new bar — the projection is a mathematical estimate, not a guarantee of future price action Volume filter uses the volume data provided by your broker/data feed — for instruments or exchanges with unreliable volume, consider disabling the volume gate The 200 SMA used in scoring requires 200 bars of history to calculate — on very short chart histories, this factor may not contribute to early signals Maximum 500 labels per chart are supported by TradingView — on very low timeframes with extended history, oldest labels may be automatically removed The forecast polyline uses TradingView's polyline drawing objects — a maximum of 100 polylines are allocated Dashboard uses a table object that updates on the last bar — it reflects real-time values on live charts Squeeze momentum calculation uses the John Carter method — linear regression of the midline-basis deviation over the BB length ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built for traders who demand clarity, precision, and institutional-grade filtering from their volatility analysis.
Pine Script® 인디케이터
AlphaX-Trade의
2
Adaptive Momentum RibbonWhat It Does Adaptive Momentum Ribbon (AMR) is a directional momentum tool that identifies shifts in price equilibrium and marks them directly on the price chart with entry labels and dynamic invalidation levels. It pairs a robust statistical oscillator with a Keltner Channel envelope to give traders both timing signals and volatility context in a single overlay. How It Works The indicator is built on three independent components working together: 1. Median Absolute Deviation (MAD) Z-Score Instead of using a standard deviation z-score (which is heavily influenced by outlier candles and spike wicks), AMR calculates a rolling median of price, then measures how far price has deviated from that median, normalized by the Median Absolute Deviation. MAD is a statistical measure of dispersion that is approximately 50% more resistant to outliers than standard deviation. The raw MAD value is scaled by 1.4826 to make it directly comparable to standard deviation under normal distribution assumptions. The result is a z-score that reflects genuine shifts in price positioning rather than reacting disproportionately to single volatile bars. 2. Butterworth Low-Pass Filter The raw z-score is then passed through a second-order Butterworth low-pass filter. Unlike cascaded EMAs (which introduce cumulative lag at each stage), the Butterworth filter is designed to have a maximally flat frequency response in the passband. This means it preserves the shape of genuine momentum moves while attenuating high-frequency noise. The filter's two-pole design provides a steeper roll-off than any single-pole smoothing method, delivering cleaner zero-line crossovers with less delay. 3. Keltner Channel Envelope A standard Keltner Channel (moving average +/- ATR multiple) provides volatility context. Unlike Bollinger Bands, which use standard deviation and tend to expand/contract sharply on individual outlier bars, Keltner Channels use Average True Range, producing smoother, more stable bands that account for gap behavior and true intrabar range. Signal Logic A bullish signal (upward label) fires when the filtered z-score crosses above zero, indicating that price has shifted above its rolling median by a statistically meaningful amount after smoothing. A bearish signal (downward label) fires when the filtered z-score crosses below zero. Each signal generates an invalidation level (dashed line), placed at the low (for bullish) or high (for bearish) of the signal bar, offset by a long-term volatility measure (100-period EMA of True Range). If price breaches this level, an X marker appears, indicating the signal's premise has been violated. The invalidation level extends forward in real time until it is either breached or replaced by a new signal in the opposite direction. How to Use It Trend Confirmation: Use the signal labels alongside the Keltner Channel. Bullish signals firing near the lower KC band suggest mean-reversion opportunities. Bullish signals near or above the midline suggest trend continuation. Invalidation as Risk Management: The dashed invalidation line can serve as a reference for stop-loss placement. When the X appears, the statistical basis for the entry no longer holds. Parameter Guidance: Momentum Period (default 20): Controls the lookback for the median and MAD calculation. Shorter periods react faster but produce more signals. Longer periods are smoother but slower. Butterworth Smoothing (default 3): Controls noise filtering. A value of 1 passes the raw z-score through with minimal filtering. Values of 3-5 work well for most timeframes. KC settings: Standard Keltner Channel parameters. The defaults (20 EMA, 14 ATR, 2x multiplier) are widely used and work across most instruments and timeframes. Limitations and Honest Caveats This indicator does not predict future price. It identifies statistical shifts in recent price positioning relative to a rolling median. These shifts may or may not lead to sustained moves. Like all zero-crossing oscillators, it will generate false signals during choppy, range-bound markets. The Keltner Channel can help filter these visually (signals near the midline in a flat channel are lower conviction). The invalidation levels are references, not guaranteed stop levels. Slippage and gaps can cause exits beyond these prices. The MAD z-score assumes sufficient data variation. In extremely low-volatility environments where price barely moves, the MAD can approach zero. A fallback to standard deviation is built in for this edge case, but signals during such periods should be treated with extra caution. No repainting. All signals fire on the confirmed close of the signal bar and reference the prior bar's high/low for level placement. No future data is accessed. Summary AMR combines outlier-robust statistics (MAD z-score), signal-processing-grade smoothing (Butterworth filter), and volatility-adaptive context (Keltner Channel) into a single chart overlay. It is designed for traders who want clean directional signals with built-in invalidation logic, without relying on indicators that overreact to spike wicks or require a separate oscillator pane.
Pine Script® 인디케이터
ZakAlgoTrade의
3
TTM SqueezeUpdated TTM Squeeze — Correct AND Logic John Carter’s classic TTM Squeeze. There is one on here already, but it is using an OR‑based condition. The proper logic is AND for a true volatility squeeze. Both the Keltner Channel lower band and upper band must sit fully inside the Bollinger Bands. Using AND logic ensures the squeeze only triggers when volatility is genuinely compressed, producing a more accurate and reliable signal than the default implementation.
Pine Script® 인디케이터
followmytradingjournal의
Volatility Breakout System [Fixed Risk] This is a trend-following breakout strategy designed to capture volatility expansion while filtering out low-momentum "chop." It is built on the philosophy that significant price moves are often preceded by a breakout of volatility bands (Keltner Channels) accompanied by Volume and Trend Strength (ADX). Strategy Logic: Volatility Breakout: The primary trigger is a candle closing outside the Keltner Channels. This indicates price is moving faster than the average range. Trend Filter: Trades are only taken in the direction of the 200 EMA. Momentum Filter (ADX): The ADX filter ensures we only enter when the trend strength is above a specific threshold (Default: 20). This prevents the strategy from buying tops or selling bottoms in ranging markets. Volume Confirmation: A breakout without volume is often a fake-out. This script requires volume to be higher than the moving average. Risk Management (Automated): Stop Loss: Based on ATR (Average True Range) to adapt to current market volatility. Trailing Stop: Once the trade moves in favor, a trailing stop is activated to lock in profits. Breakeven: If price moves X% in favor, the Stop Loss is automatically moved to the entry price to protect capital. Cooldown: Includes a safety mechanism to prevent over-trading immediately after a signal. Backtesting Notes: This script is set up with use_bar_magnifier=true. For accurate results, use this on higher timeframes (1H, 4H) or ensure you have a Premium account for intrabar inspection. Inputs: You can toggle the "Compounding" feature to test fixed cash vs. % equity growth. Webhooks are fully configurable for alert automation.
Pine Script™ 전략
debdaspt85의
15
Hyper Squeeze Sniper (Dual Side: Long + Short)Hyper Squeeze Sniper (Dual Side Strategy) This script is a comprehensive Volatility Breakout System designed to identify and trade explosive price moves following periods of consolidation. It combines the classical "Squeeze" theory with Linear Regression Momentum, Volume Analysis, and an ATR-based Trailing Stop to filter false signals and manage risk effectively. The script operates on a logic of "Compression -> Explosion -> Trend Following" suitable for both Long and Short positions. 🛠 Detailed Methodology (How it works) 1. The Squeeze Detection (Consolidation) The core concept relies on the relationship between Bollinger Bands (BB) and Keltner Channels (KC). Condition: When the Bollinger Bands (Standard Deviation) contract and fall inside the Keltner Channels (ATR based), it indicates a period of extremely low volatility (The Squeeze). Visual: The background turns Gray to indicate "Do Not Trade / Wait Mode". 2. Momentum Confirmation (Linear Regression) Instead of using standard lagging indicators, this script utilizes Linear Regression of the price deviation to determine the direction of the breakout. If the Linear Regression Slope > 0, the bias is Bullish. If the Linear Regression Slope < 0, the bias is Bearish. 3. Volume Validation To avoid fake breakouts, a Volume Spike filter is applied. A signal is only valid if the current volume exceeds its moving average by a defined multiplier (Default x1.2). 4. Risk Management: ATR Trailing Stop Once a trade is entered, the script calculates a dynamic Trailing Stop based on the Average True Range (ATR). - Long: The stop line trails below the price and never moves down. - Short: The stop line trails above the price and never moves up. - Exit: The position is closed immediately when the price breaches this volatility-based safety line. How to Use 1. Wait: Look for the Gray Background. This is the accumulation phase. 2. Entry: LONG: Wait for a Green Triangle ▲ (Price breaks Upper BB + Vol Spike + Bullish Momentum). SHORT: Wait for a Red Triangle ▼ (Price breaks Lower BB + Vol Spike + Bearish Momentum). 3. Exit: Close the position when the "X" mark appears or when candles cross the trailing safety line. Settings - BB Length/Mult: Adjust the sensitivity of the squeeze detection. - Vol Spike Factor: Increase this to filter out low-volume breakouts. - ATR Period/Mult: Adjust the trailing stop distance (Higher = Wider stop for swing trading).
Pine Script® 인디케이터
Gustav_Rex의
4
KC-BB Squeeze Trend Trader█ OVERVIEW The KC-BB Squeeze Trend Trader identifies volatility compression and expansion by detecting when Bollinger Bands contract inside Keltner Channels and then release with confirmed momentum. It highlights potential trend-starting breakouts by combining squeeze detection, directional momentum, trend bias, and optional volume filters. During periods of low volatility, price consolidates and energy builds. When volatility expands again, strong directional moves often follow. This tool helps traders spot those opportunities early with clear visual cues and optional performance tracking. █ KEY FEATURES Squeeze detection using Bollinger Bands inside Keltner Channels Automatic identification of volatility expansion after the squeeze ends Optional filters for momentum, trend direction, volume, and signal cooldown Dynamic color fills for squeeze, bullish expansion, bearish expansion, and neutral states Dashboard showing squeeze duration, tightness, momentum, trend, and volume context Optional win-rate analytics using ATR-based target and stop evaluation Multi-timeframe confirmation for higher-quality breakouts █ HOW IT WORKS A squeeze occurs when both Bollinger Bands sit inside the Keltner Channels. A breakout begins when the Bollinger Bands expand outside the KCs. Long signals appear when squeeze release aligns with bullish momentum and trend strength. Short signals appear when bearish momentum and trend conditions agree. Volume and cooldown filters help reduce noise and avoid low-quality entries. █ HOW TO USE Wait for a squeeze period (yellow fill). Monitor duration and tightness: longer/tighter squeezes often lead to stronger moves. When a long or short signal appears, use the plotted ATR-based target and stop as reference levels. Watch for contraction or exit hints when momentum fades or volatility narrows again. Higher timeframes generally provide cleaner and more reliable signals. █ TIMEFRAME GUIDANCE Crypto: 4H or 1D; consider increasing KC multiplier for high volatility. Forex: 1H–4H; longer squeeze duration can improve selectivity. Stocks: 1D–1W; consider slightly higher BB multiplier on slow-moving markets. █ SETTINGS SUMMARY Adjustable Bollinger Band and Keltner Channel lengths and multipliers Three momentum modes: Linear Regression, Price–SMA, or ROC Trend and volume filters (optional) Configurable minimum squeeze duration and signal cooldown ATR-based target and stop multipliers Optional historically tight squeeze filter (percentile-based) █ ALERTS Squeeze Detected Squeeze Released Long Entry Short Entry Exit Hint Historically Tight Squeeze █ NOTES ATR-based win-rate calculations provide simplified performance estimates. Past behavior does not guarantee future movement. Use position sizing and risk management appropriate for the instrument and timeframe. █ CREDITS Inspired by the Bollinger Band and Keltner Channel squeeze concept popularized by John Carter’s TTM Squeeze, with added enhancements for squeeze strength, filtering, and real-time performance metrics.
Pine Script® 인디케이터
kingthies의
1
Keltner Channel Enhanced [DCAUT]█ Keltner Channel Enhanced 📊 ORIGINALITY & INNOVATION The Keltner Channel Enhanced represents an important advancement over standard Keltner Channel implementations by introducing dual flexibility in moving average selection for both the middle band and ATR calculation. While traditional Keltner Channels typically use EMA for the middle band and RMA (Wilder's smoothing) for ATR, this enhanced version provides access to 25+ moving average algorithms for both components, enabling traders to fine-tune the indicator's behavior to match specific market characteristics and trading approaches. Key Advancements: Dual MA Algorithm Flexibility: Independent selection of moving average types for middle band (25+ options) and ATR smoothing (25+ options), allowing optimization of both trend identification and volatility measurement separately Enhanced Trend Sensitivity: Ability to use faster algorithms (HMA, T3) for middle band while maintaining stable volatility measurement with traditional ATR smoothing, or vice versa for different trading strategies Adaptive Volatility Measurement: Choice of ATR smoothing algorithm affects channel responsiveness to volatility changes, from highly reactive (SMA, EMA) to smoothly adaptive (RMA, TEMA) Comprehensive Alert System: Five distinct alert conditions covering breakouts, trend changes, and volatility expansion, enabling automated monitoring without constant chart observation Multi-Timeframe Compatibility: Works effectively across all timeframes from intraday scalping to long-term position trading, with independent optimization of trend and volatility components This implementation addresses key limitations of standard Keltner Channels: fixed EMA/RMA combination may not suit all market conditions or trading styles. By decoupling the trend component from volatility measurement and allowing independent algorithm selection, traders can create highly customized configurations for specific instruments and market phases. 📐 MATHEMATICAL FOUNDATION Keltner Channel Enhanced uses a three-component calculation system that combines a flexible moving average middle band with ATR-based (Average True Range) upper and lower channels, creating volatility-adjusted trend-following bands. Core Calculation Process: 1. Middle Band (Basis) Calculation: The basis line is calculated using the selected moving average algorithm applied to the price source over the specified period: basis = ma(source, length, maType) Supported algorithms include EMA (standard choice, trend-biased), SMA (balanced and symmetric), HMA (reduced lag), WMA, VWMA, TEMA, T3, KAMA, and 17+ others. 2. Average True Range (ATR) Calculation: ATR measures market volatility by calculating the average of true ranges over the specified period: trueRange = max(high - low, abs(high - close ), abs(low - close )) atrValue = ma(trueRange, atrLength, atrMaType) ATR smoothing algorithm significantly affects channel behavior, with options including RMA (standard, very smooth), SMA (moderate smoothness), EMA (fast adaptation), TEMA (smooth yet responsive), and others. 3. Channel Calculation: Upper and lower channels are positioned at specified multiples of ATR from the basis: upperChannel = basis + (multiplier × atrValue) lowerChannel = basis - (multiplier × atrValue) Standard multiplier is 2.0, providing channels that dynamically adjust width based on market volatility. Keltner Channel vs. Bollinger Bands - Key Differences: While both indicators create volatility-based channels, they use fundamentally different volatility measures: Keltner Channel (ATR-based): Uses Average True Range to measure actual price movement volatility Incorporates gaps and limit moves through true range calculation More stable in trending markets, less prone to extreme compression Better reflects intraday volatility and trading range Typically fewer band touches, making touches more significant More suitable for trend-following strategies Bollinger Bands (Standard Deviation-based): Uses statistical standard deviation to measure price dispersion Based on closing prices only, doesn't account for intraday range Can compress significantly during consolidation (squeeze patterns) More touches in ranging markets Better suited for mean-reversion strategies Provides statistical probability framework (95% within 2 standard deviations) Algorithm Combination Effects: The interaction between middle band MA type and ATR MA type creates different indicator characteristics: Trend-Focused Configuration (Fast MA + Slow ATR): Middle band uses HMA/EMA/T3, ATR uses RMA/TEMA, quick trend changes with stable channel width, suitable for trend-following Volatility-Focused Configuration (Slow MA + Fast ATR): Middle band uses SMA/WMA, ATR uses EMA/SMA, stable trend with dynamic channel width, suitable for volatility trading Balanced Configuration (Standard EMA/RMA): Classic Keltner Channel behavior, time-tested combination, suitable for general-purpose trend following Adaptive Configuration (KAMA + KAMA): Self-adjusting indicator responding to efficiency ratio, suitable for markets with varying trend strength and volatility regimes 📊 COMPREHENSIVE SIGNAL ANALYSIS Keltner Channel Enhanced provides multiple signal categories optimized for trend-following and breakout strategies. Channel Position Signals: Upper Channel Interaction: Price Touching Upper Channel: Strong bullish momentum, price moving more than typical volatility range suggests, potential continuation signal in established uptrends Price Breaking Above Upper Channel: Exceptional strength, price exceeding normal volatility expectations, consider adding to long positions or tightening trailing stops Price Riding Upper Channel: Sustained strong uptrend, characteristic of powerful bull moves, stay with trend and avoid premature profit-taking Price Rejection at Upper Channel: Momentum exhaustion signal, consider profit-taking on longs or waiting for pullback to middle band for reentry Lower Channel Interaction: Price Touching Lower Channel: Strong bearish momentum, price moving more than typical volatility range suggests, potential continuation signal in established downtrends Price Breaking Below Lower Channel: Exceptional weakness, price exceeding normal volatility expectations, consider adding to short positions or protecting against further downside Price Riding Lower Channel: Sustained strong downtrend, characteristic of powerful bear moves, stay with trend and avoid premature covering Price Rejection at Lower Channel: Momentum exhaustion signal, consider covering shorts or waiting for bounce to middle band for reentry Middle Band (Basis) Signals: Trend Direction Confirmation: Price Above Basis: Bullish trend bias, middle band acts as dynamic support in uptrends, consider long positions or holding existing longs Price Below Basis: Bearish trend bias, middle band acts as dynamic resistance in downtrends, consider short positions or avoiding longs Price Crossing Above Basis: Potential trend change from bearish to bullish, early signal to establish long positions Price Crossing Below Basis: Potential trend change from bullish to bearish, early signal to establish short positions or exit longs Pullback Trading Strategy: Uptrend Pullback: Price pulls back from upper channel to middle band, finds support, and resumes upward, ideal long entry point Downtrend Bounce: Price bounces from lower channel to middle band, meets resistance, and resumes downward, ideal short entry point Basis Test: Strong trends often show price respecting the middle band as support/resistance on pullbacks Failed Test: Price breaking through middle band against trend direction signals potential reversal Volatility-Based Signals: Narrow Channels (Low Volatility): Consolidation Phase: Channels contract during periods of reduced volatility and directionless price action Breakout Preparation: Narrow channels often precede significant directional moves as volatility cycles Trading Approach: Reduce position sizes, wait for breakout confirmation, avoid range-bound strategies within channels Breakout Direction: Monitor for price breaking decisively outside channel range with expanding width Wide Channels (High Volatility): Trending Phase: Channels expand during strong directional moves and increased volatility Momentum Confirmation: Wide channels confirm genuine trend with substantial volatility backing Trading Approach: Trend-following strategies excel, wider stops necessary, mean-reversion strategies risky Exhaustion Signs: Extreme channel width (historical highs) may signal approaching consolidation or reversal Advanced Pattern Recognition: Channel Walking Pattern: Upper Channel Walk: Price consistently touches or exceeds upper channel while staying above basis, very strong uptrend signal, hold longs aggressively Lower Channel Walk: Price consistently touches or exceeds lower channel while staying below basis, very strong downtrend signal, hold shorts aggressively Basis Support/Resistance: During channel walks, price typically uses middle band as support/resistance on minor pullbacks Pattern Break: Price crossing basis during channel walk signals potential trend exhaustion Squeeze and Release Pattern: Squeeze Phase: Channels narrow significantly, price consolidates near middle band, volatility contracts Direction Clues: Watch for price positioning relative to basis during squeeze (above = bullish bias, below = bearish bias) Release Trigger: Price breaking outside narrow channel range with expanding width confirms breakout Follow-Through: Measure squeeze height and project from breakout point for initial profit targets Channel Expansion Pattern: Breakout Confirmation: Rapid channel widening confirms volatility increase and genuine trend establishment Entry Timing: Enter positions early in expansion phase before trend becomes overextended Risk Management: Use channel width to size stops appropriately, wider channels require wider stops Basis Bounce Pattern: Clean Bounce: Price touches middle band and immediately reverses, confirms trend strength and entry opportunity Multiple Bounces: Repeated basis bounces indicate strong, sustainable trend Bounce Failure: Price penetrating basis signals weakening trend and potential reversal Divergence Analysis: Price/Channel Divergence: Price makes new high/low while staying within channel (not reaching outer band), suggests momentum weakening Width/Price Divergence: Price breaks to new extremes but channel width contracts, suggests move lacks conviction Reversal Signal: Divergences often precede trend reversals or significant consolidation periods Multi-Timeframe Analysis: Keltner Channels work particularly well in multi-timeframe trend-following approaches: Three-Timeframe Alignment: Higher Timeframe (Weekly/Daily): Identify major trend direction, note price position relative to basis and channels Intermediate Timeframe (Daily/4H): Identify pullback opportunities within higher timeframe trend Lower Timeframe (4H/1H): Time precise entries when price touches middle band or lower channel (in uptrends) with rejection Optimal Entry Conditions: Best Long Entries: Higher timeframe in uptrend (price above basis), intermediate timeframe pulls back to basis, lower timeframe shows rejection at middle band or lower channel Best Short Entries: Higher timeframe in downtrend (price below basis), intermediate timeframe bounces to basis, lower timeframe shows rejection at middle band or upper channel Risk Management: Use higher timeframe channel width to set position sizing, stops below/above higher timeframe channels 🎯 STRATEGIC APPLICATIONS Keltner Channel Enhanced excels in trend-following and breakout strategies across different market conditions. Trend Following Strategy: Setup Requirements: Identify established trend with price consistently on one side of basis line Wait for pullback to middle band (basis) or brief penetration through it Confirm trend resumption with price rejection at basis and move back toward outer channel Enter in trend direction with stop beyond basis line Entry Rules: Uptrend Entry: Price pulls back from upper channel to middle band, shows support at basis (bullish candlestick, momentum divergence) Enter long on rejection/bounce from basis with stop 1-2 ATR below basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Downtrend Entry: Price bounces from lower channel to middle band, shows resistance at basis (bearish candlestick, momentum divergence) Enter short on rejection/reversal from basis with stop 1-2 ATR above basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Trend Management: Trailing Stop: Use basis line as dynamic trailing stop, exit if price closes beyond basis against position Profit Taking: Take partial profits at opposite channel, move stops to basis Position Additions: Add to winners on subsequent basis bounces if trend intact Breakout Strategy: Setup Requirements: Identify consolidation period with contracting channel width Monitor price action near middle band with reduced volatility Wait for decisive breakout beyond channel range with expanding width Enter in breakout direction after confirmation Breakout Confirmation: Price breaks clearly outside channel (upper for longs, lower for shorts), channel width begins expanding from contracted state Volume increases significantly on breakout (if using volume analysis) Price sustains outside channel for multiple bars without immediate reversal Entry Approaches: Aggressive: Enter on initial break with stop at opposite channel or basis, use smaller position size Conservative: Wait for pullback to broken channel level, enter on rejection and resumption, tighter stop Volatility-Based Position Sizing: Adjust position sizing based on channel width (ATR-based volatility): Wide Channels (High ATR): Reduce position size as stops must be wider, calculate position size using ATR-based risk calculation: Risk / (Stop Distance in ATR × ATR Value) Narrow Channels (Low ATR): Increase position size as stops can be tighter, be cautious of impending volatility expansion ATR-Based Risk Management: Use ATR-based risk calculations, position size = 0.01 × Capital / (2 × ATR), use multiples of ATR (1-2 ATR) for adaptive stops Algorithm Selection Guidelines: Different market conditions benefit from different algorithm combinations: Strong Trending Markets: Middle band use EMA or HMA, ATR use RMA, capture trends quickly while maintaining stable channel width Choppy/Ranging Markets: Middle band use SMA or WMA, ATR use SMA or WMA, avoid false trend signals while identifying genuine reversals Volatile Markets: Middle band and ATR both use KAMA or FRAMA, self-adjusting to changing market conditions reduces manual optimization Breakout Trading: Middle band use SMA, ATR use EMA or SMA, stable trend with dynamic channels highlights volatility expansion early Scalping/Day Trading: Middle band use HMA or T3, ATR use EMA or TEMA, both components respond quickly Position Trading: Middle band use EMA/TEMA/T3, ATR use RMA or TEMA, filter out noise for long-term trend-following 📋 DETAILED PARAMETER CONFIGURATION Understanding and optimizing parameters is essential for adapting Keltner Channel Enhanced to specific trading approaches. Source Parameter: Close (Most Common): Uses closing price, reflects daily settlement, best for end-of-day analysis and position trading, standard choice HL2 (Median Price): Smooths out closing bias, better represents full daily range in volatile markets, good for swing trading HLC3 (Typical Price): Gives more weight to close while including full range, popular for intraday applications, slightly more responsive than HL2 OHLC4 (Average Price): Most comprehensive price representation, smoothest option, good for gap-prone markets or highly volatile instruments Length Parameter: Controls the lookback period for middle band (basis) calculation: Short Periods (10-15): Very responsive to price changes, suitable for day trading and scalping, higher false signal rate Standard Period (20 - Default): Represents approximately one month of trading, good balance between responsiveness and stability, suitable for swing and position trading Medium Periods (30-50): Smoother trend identification, fewer false signals, better for position trading and longer holding periods Long Periods (50+): Very smooth, identifies major trends only, minimal false signals but significant lag, suitable for long-term investment Optimization by Timeframe: 1-15 minute charts use 10-20 period, 30-60 minute charts use 20-30 period, 4-hour to daily charts use 20-40 period, weekly charts use 20-30 weeks. ATR Length Parameter: Controls the lookback period for Average True Range calculation, affecting channel width: Short ATR Periods (5-10): Very responsive to recent volatility changes, standard is 10 (Keltner's original specification), may be too reactive in whipsaw conditions Standard ATR Period (10 - Default): Chester Keltner's original specification, good balance between responsiveness and stability, most widely used Medium ATR Periods (14-20): Smoother channel width, ATR 14 aligns with Wilder's original ATR specification, good for position trading Long ATR Periods (20+): Very smooth channel width, suitable for long-term trend-following Length vs. ATR Length Relationship: Equal values (20/20) provide balanced responsiveness, longer ATR (20/14) gives more stable channel width, shorter ATR (20/10) is standard configuration, much shorter ATR (20/5) creates very dynamic channels. Multiplier Parameter: Controls channel width by setting ATR multiples: Lower Values (1.0-1.5): Tighter channels with frequent price touches, more trading signals, higher false signal rate, better for range-bound and mean-reversion strategies Standard Value (2.0 - Default): Chester Keltner's recommended setting, good balance between signal frequency and reliability, suitable for both trending and ranging strategies Higher Values (2.5-3.0): Wider channels with less frequent touches, fewer but potentially higher-quality signals, better for strong trending markets Market-Specific Optimization: High volatility markets (crypto, small-caps) use 2.5-3.0 multiplier, medium volatility markets (major forex, large-caps) use 2.0 multiplier, low volatility markets (bonds, utilities) use 1.5-2.0 multiplier. MA Type Parameter (Middle Band): Critical selection that determines trend identification characteristics: EMA (Exponential Moving Average - Default): Standard Keltner Channel choice, Chester Keltner's original specification, emphasizes recent prices, faster response to trend changes, suitable for all timeframes SMA (Simple Moving Average): Equal weighting of all data points, no directional bias, slower than EMA, better for ranging markets and mean-reversion HMA (Hull Moving Average): Minimal lag with smooth output, excellent for fast trend identification, best for day trading and scalping TEMA (Triple Exponential Moving Average): Advanced smoothing with reduced lag, responsive to trends while filtering noise, suitable for volatile markets T3 (Tillson T3): Very smooth with minimal lag, excellent for established trend identification, suitable for position trading KAMA (Kaufman Adaptive Moving Average): Automatically adjusts speed based on market efficiency, slow in ranging markets, fast in trends, suitable for markets with varying conditions ATR MA Type Parameter: Determines how Average True Range is smoothed, affecting channel width stability: RMA (Wilder's Smoothing - Default): J. Welles Wilder's original ATR smoothing method, very smooth, slow to adapt to volatility changes, provides stable channel width SMA (Simple Moving Average): Equal weighting, moderate smoothness, faster response to volatility changes than RMA, more dynamic channel width EMA (Exponential Moving Average): Emphasizes recent volatility, quick adaptation to new volatility regimes, very responsive channel width changes TEMA (Triple Exponential Moving Average): Smooth yet responsive, good balance for varying volatility, suitable for most trading styles Parameter Combination Strategies: Conservative Trend-Following: Length 30/ATR Length 20/Multiplier 2.5, MA Type EMA or TEMA/ATR MA Type RMA, smooth trend with stable wide channels, suitable for position trading Standard Balanced Approach: Length 20/ATR Length 10/Multiplier 2.0, MA Type EMA/ATR MA Type RMA, classic Keltner Channel configuration, suitable for general purpose swing trading Aggressive Day Trading: Length 10-15/ATR Length 5-7/Multiplier 1.5-2.0, MA Type HMA or EMA/ATR MA Type EMA or SMA, fast trend with dynamic channels, suitable for scalping and day trading Breakout Specialist: Length 20-30/ATR Length 5-10/Multiplier 2.0, MA Type SMA or WMA/ATR MA Type EMA or SMA, stable trend with responsive channel width Adaptive All-Conditions: Length 20/ATR Length 10/Multiplier 2.0, MA Type KAMA or FRAMA/ATR MA Type KAMA or TEMA, self-adjusting to market conditions Offset Parameter: Controls horizontal positioning of channels on chart. Positive values shift channels to the right (future) for visual projection, negative values shift left (past) for historical analysis, zero (default) aligns with current price bars for real-time signal analysis. Offset affects only visual display, not alert conditions or actual calculations. 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Keltner Channel Enhanced provides improvements over standard implementations while maintaining proven effectiveness. Response Characteristics: Standard EMA/RMA Configuration: Moderate trend lag (approximately 0.4 × length periods), smooth and stable channel width from RMA smoothing, good balance for most market conditions Fast HMA/EMA Configuration: Approximately 60% reduction in trend lag compared to EMA, responsive channel width from EMA ATR smoothing, suitable for quick trend changes and breakouts Adaptive KAMA/KAMA Configuration: Variable lag based on market efficiency, automatic adjustment to trending vs. ranging conditions, self-optimizing behavior reduces manual intervention Comparison with Traditional Keltner Channels: Enhanced Version Advantages: Dual Algorithm Flexibility: Independent MA selection for trend and volatility vs. fixed EMA/RMA, separate tuning of trend responsiveness and channel stability Market Adaptation: Choose configurations optimized for specific instruments and conditions, customize for scalping, swing, or position trading preferences Comprehensive Alerts: Enhanced alert system including channel expansion detection Traditional Version Advantages: Simplicity: Fewer parameters, easier to understand and implement Standardization: Fixed EMA/RMA combination ensures consistency across users Research Base: Decades of backtesting and research on standard configuration When to Use Enhanced Version: Trading multiple instruments with different characteristics, switching between trending and ranging markets, employing different strategies, algorithm-based trading systems requiring customization, seeking optimization for specific trading style and timeframe. When to Use Standard Version: Beginning traders learning Keltner Channel concepts, following published research or trading systems, preferring simplicity and standardization, wanting to avoid optimization and curve-fitting risks. Performance Across Market Conditions: Strong Trending Markets: EMA or HMA basis with RMA or TEMA ATR smoothing provides quicker trend identification, pullbacks to basis offer excellent entry opportunities Choppy/Ranging Markets: SMA or WMA basis with RMA ATR smoothing and lower multipliers, channel bounce strategies work well, avoid false breakouts Volatile Markets: KAMA or FRAMA with EMA or TEMA, adaptive algorithms excel by automatic adjustment, wider multipliers (2.5-3.0) accommodate large price swings Low Volatility/Consolidation: Channels narrow significantly indicating consolidation, algorithm choice less impactful, focus on detecting channel width contraction for breakout preparation Keltner Channel vs. Bollinger Bands - Usage Comparison: Favor Keltner Channels When: Trend-following is primary strategy, trading volatile instruments with gaps, want ATR-based volatility measurement, prefer fewer higher-quality channel touches, seeking stable channel width during trends. Favor Bollinger Bands When: Mean-reversion is primary strategy, trading instruments with limited gaps, want statistical framework based on standard deviation, need squeeze patterns for breakout identification, prefer more frequent trading opportunities. Use Both Together: Bollinger Band squeeze + Keltner Channel breakout is powerful combination, price outside Bollinger Bands but inside Keltner Channels indicates moderate signal, price outside both indicates very strong signal, Bollinger Bands for entries and Keltner Channels for trend confirmation. Limitations and Considerations: General Limitations: Lagging Indicator: All moving averages lag price, even with reduced-lag algorithms Trend-Dependent: Works best in trending markets, less effective in choppy conditions No Direction Prediction: Indicates volatility and deviation, not future direction, requires confirmation Enhanced Version Specific Considerations: Optimization Risk: More parameters increase risk of curve-fitting historical data Complexity: Additional choices may overwhelm beginning traders Backtesting Challenges: Different algorithms produce different historical results Mitigation Strategies: Use Confirmation: Combine with momentum indicators (RSI, MACD), volume, or price action Test Parameter Robustness: Ensure parameters work across range of values, not just optimized ones Multi-Timeframe Analysis: Confirm signals across different timeframes Proper Risk Management: Use appropriate position sizing and stops Start Simple: Begin with standard EMA/RMA before exploring alternatives Optimal Usage Recommendations: For Maximum Effectiveness: Start with standard EMA/RMA configuration to understand classic behavior Experiment with alternatives on demo account or paper trading Match algorithm combination to market condition and trading style Use channel width analysis to identify market phases Combine with complementary indicators for confirmation Implement strict risk management using ATR-based position sizing Focus on high-quality setups rather than trading every signal Respect the trend: trade with basis direction for higher probability Complementary Indicators: RSI or Stochastic: Confirm momentum at channel extremes MACD: Confirm trend direction and momentum shifts Volume: Validate breakouts and trend strength ADX: Measure trend strength, avoid Keltner signals in weak trends Support/Resistance: Combine with traditional levels for high-probability setups Bollinger Bands: Use together for enhanced breakout and volatility analysis USAGE NOTES This indicator is designed for technical analysis and educational purposes. Keltner Channel Enhanced has limitations and should not be used as the sole basis for trading decisions. While the flexible moving average selection for both trend and volatility components provides valuable adaptability across different market conditions, algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Key considerations: Always use multiple forms of analysis and confirmation before entering trades Backtest any parameter combination thoroughly before live trading Be aware that optimization can lead to curve-fitting if not done carefully Start with standard EMA/RMA settings and adjust only when specific conditions warrant Understand that no moving average algorithm can eliminate lag entirely Consider market regime (trending, ranging, volatile) when selecting parameters Use ATR-based position sizing and risk management on every trade Keltner Channels work best in trending markets, less effective in choppy conditions Respect the trend direction indicated by price position relative to basis line The enhanced flexibility of dual algorithm selection provides powerful tools for adaptation but requires responsible use, thorough understanding of how different algorithms behave under various market conditions, and disciplined risk management.
Pine Script® 인디케이터
DCAUT의
Cycle-Synced Channel Breakout📌 Cycle-Synced Channel Breakout – Detect Breakouts Confirmed by Candles and Momentum Cycles 📖 Overview The Cycle-Synced Channel Breakout indicator is a precision breakout detection tool that combines the power of: • Adaptive Keltner Channels • Dominant Cycle Period Analysis (Ehlers-inspired) • Candlestick Pattern Recognition (Engulfing) This multi-layered approach helps identify true breakout opportunities by filtering out noise and false signals, making it ideal for swing traders and intraday traders seeking high-probability directional moves. ⚙️ How It Works 1. Keltner Channel Envelope A dynamic volatility channel based on the EMA and ATR defines the upper and lower bounds of price movement. 2. Engulfing Candle Detection The script detects strong bullish and bearish engulfing patterns, which often signal trend reversals or momentum continuations. 3. Dominant Cycle Momentum (Ehlers-inspired) Using a smoothed power oscillator derived from a detrended price series, the indicator assesses whether momentum is accelerating during the breakout — filtering out weak moves. 4. Signal Confirmation Logic A signal is only shown when: • An engulfing pattern is detected, and • Price breaks out of the Keltner Channel, and • Momentum (cycle power) is rising 5. Visual Feedback • Breakout signals are plotted with “BUY” or “SELL” labels • Faded green/red background highlights confirmed breakouts • Optional display of engulfing candles with triangle markers ⸻ 🛠️ Key Features • ✅ Adaptive Keltner Channels • ✅ Bullish/Bearish Engulfing Candle Recognition • ✅ Ehlers-style Cycle Momentum Confirmation • ✅ Background highlights for confirmed breakouts • ✅ Optional candle pattern visualization • ✅ Lightweight and Pine v6 compatible ⸻ 🧪 Inputs • Keltner Length – EMA period for channel basis • Multiplier – Multiplied with ATR to determine band width • Cycle Lookback – Used to calculate smoothed cycle power • Show Engulfing Candles? – Toggles candlestick signals • Show Breakout Signals? – Toggles breakout labels and backgrounds ⸻ 🧠 How to Use • Look for “BUY” or “SELL” labels when: • An engulfing candle breaks through the Keltner Channel • Cycle momentum confirms strength behind the move • The background color will faintly highlight the breakout direction. • Use in combination with other trend or volume indicators for added confluence. 🔒 Notes • This indicator is not repainting. • It is designed for educational and research purposes only. • Works across all timeframes and asset classes (stocks, crypto, forex, etc.)
Pine Script® 인디케이터
TradeTechanalysis의
Adaptive Squeeze Momentum +Adaptive Squeeze Momentum+ (Auto-Timeframe Version) Overview Adaptive Squeeze Momentum+ is an enhanced volatility and momentum indicator designed to identify compression and expansion phases in price action. It is inspired by the classic Squeeze Momentum Indicator by LazyBear but introduces automatic parameter adaptation to any timeframe, making it simpler to use across different markets without manual configuration. Concepts and Methodology The script combines Bollinger Bands (BB) and Keltner Channels (KC) to detect periods when volatility contracts (squeeze) or expands (release). A squeeze occurs when BB are inside KC, suggesting low volatility and potential breakout scenarios. A squeeze release is detected when BB expand outside KC. Momentum is derived using a linear regression applied to the difference between price and a midrange reference level. Original Improvements Compared to the original Squeeze Momentum Indicator, this version offers several enhancements: Automatic Adaptation: BB and KC lengths and multipliers are dynamically adjusted based on the chart’s timeframe (from 1 minute up to 1 month), removing the need for manual tuning. Simplified Visualization: A clean, minimalist histogram and clear squeeze state cross markers allow for faster interpretation. Flexible Application: Designed to work consistently on intraday, daily, and higher timeframes across crypto, forex, stocks, and indices. Features Dynamic Squeeze Detection: Gray Cross: Neutral (no squeeze detected) Blue Cross: Active squeeze Yellow Cross: Squeeze released Momentum Histogram: Positive/negative momentum shown with slope-based coloring. Timeframe-Aware Parameters: Automatically sets optimal BB/KC configurations. Usage Watch for blue crosses indicating an active squeeze phase that may precede a directional move. Use the histogram color and slope to gauge momentum strength and direction. Combine squeeze release signals with momentum confirmation for potential entries or exits. Credits and Licensing This script was inspired by LazyBear’s OLD “Squeeze Momentum Indicator” (). The implementation here significantly expands upon the original by introducing auto-adaptive parameters, restructured logic, and a new visualization approach. Published under the Mozilla Public License 2.0. Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Use at your own risk.
Pine Script® 인디케이터
Fussion_Trader의
ZLMA Keltner ChannelThe ZLMA Keltner Channel uses a Zero-Lag Moving Average (ZLMA) as the centerline with ATR-based bands to track trends and volatility. The ZLMA’s reduced lag enhances responsiveness for breakouts and reversals, i.e. it's more sensitive to pivots and trend reversals. Unlike Bollinger Bands, which use standard deviation and are more sensitive to price spikes, this uses ATR for smoother volatility measurement. Background: Built on John Ehlers’ lag-reduction techniques, this indicator adapts the classic Keltner Channel for dynamic markets. It excels in trending (low-entropy) markets for breakouts and range-bound (high-entropy) markets for reversals. How to Read: ZLMA (Blue): Tracks price trends. Above = bullish, below = bearish. Upper Band (Green): ZLMA + (Multiplier × ATR). Cross above signals breakout or overbought. Lower Band (Red): ZLMA - (Multiplier × ATR). Cross below signals breakout or oversold. Channel Fill (Gray): Shows volatility. Narrow = low volatility, wide = high volatility. Signals (Optional): Enable to show “Buy” (green) on upper band crossovers, “Sell” (red) on lower band crossunders. Strategies: Trade breakouts in trending markets, reversals in ranges, or use bands as trailing stops. Settings: ZLMA Period (20): Adjusts centerline responsiveness. ATR Period (20): Sets volatility period. Multiplier (2.0): Controls band width. If you are still confused between the ZLMA Keltner Channels and Bollinger Bands: Keltner Channel (ZLMA): Uses ATR for bands, which smooths volatility and is less reactive to sudden price spikes. The ZLMA centerline reduces lag for faster trend detection. Bollinger Bands: Uses standard deviation for bands, making them more sensitive to price volatility and prone to wider swings in high-entropy markets. Typically uses an SMA centerline, which lags more than ZLMA.
Pine Script® 인디케이터
HenriqueCentieiro의
Dynamic Volatility EnvelopeDynamic Volatility Envelope: Indicator Overview The Dynamic Volatility Envelope is an advanced, multi-faceted technical indicator designed to provide a comprehensive view of market trends, volatility, and potential future price movements. It centers around a customizable linear regression line, enveloped by dynamically adjusting volatility bands. The indicator offers rich visual feedback through gradient coloring, candle heatmaps, a background volatility pulse, and an on-chart trend strength meter. Core Calculation Mechanism Linear Regression Core : -A central linear regression line is calculated based on a user-defined source (e.g., close, hl2) and lookback period. -The regression line can be optionally smoothed using an Exponential Moving Average (EMA) to reduce noise. -The slope of this regression line is continuously calculated to determine the current trend direction and strength. Volatility Channel : -Dynamic bands are plotted above and below a central basis line. This basis is typically the calculated regression line but shifts to an EMA in Keltner mode. -The width of these bands is determined by market volatility, using one of three user-selectable modes: ATR Mode : Bandwidth is a multiple of the Average True Range (ATR). Standard Deviation Mode : Bandwidth is a multiple of the Standard Deviation of the source data. Keltner Mode (EMA-based ATR) : ATR-based bands are plotted around a central Keltner EMA line, offering a smoother channel. The channel helps identify dynamic support and resistance levels and assess market volatility. Future Projection : The indicator can project the current regression line and its associated volatility bands into the future for a user-defined number of bars. This provides a visual guide for potential future price pathways based on current trend and volatility characteristics. Candle Heatmap Coloring : -Candle bodies and/or wicks/borders can be colored based on the price's position within the upper and lower volatility bands. -Colors transition in a gradient from bearish (when price is near the lower band) through neutral (mid-channel) to bullish (when price is near the upper band), providing an intuitive visual cue of price action relative to the dynamic envelope. Background Volatility Pulse : The chart background color can be set to dynamically shift based on a ratio of short-term to long-term ATR. This creates a "pulse" effect, where the background subtly changes color to indicate rising or falling market volatility. Trend Strength Meter : An on-chart text label displays the current trend status (e.g., "Strong Bullish", "Neutral", "Bearish") based on the calculated slope of the regression line relative to user-defined thresholds for normal and strong trends. Key Features & Components -Dynamic Linear Regression Line: Core trend indicator with optional smoothing and slope-based gradient coloring. -Multi-Mode Volatility Channel: Choose between ATR, Standard Deviation, or Keltner (EMA-based ATR) calculations for band width. -Customizable Vertical Gradient Channel Fills: Visually distinct fills for upper and lower channel segments with user-defined top/bottom colors and gradient spread. -Future Projection: Extrapolates regression line and volatility bands to forecast potential price paths. -Price-Action Based Candle Heatmap: Intuitive candle coloring based on position within the volatility channel, with adjustable gradient midpoint. -Volatility-Reactive Background Gradient: Subtle background color shifts to reflect changes in market volatility. -On-Chart Trend Strength Meter: Clear textual display of current trend direction and strength. -Extensive Visual Customization: Fine-tune colors, line styles, widths, and gradient aggressiveness for most visual elements. -Comprehensive Tooltips: Detailed explanations for every input setting, ensuring ease of use and understanding. Visual Elements Explained Regression Line : The primary trend line. Its color dynamically changes (e.g., green for uptrend, red-pink for downtrend, neutral for flat) based on its slope, with smooth gradient transitions. Volatility Channel : Upper & Lower Bands : These lines form the outer boundaries of the envelope, acting as dynamic support and resistance levels. Channel Fill : The area between the band center and the outer bands is filled with a vertical gradient. For example, the upper band fill might transition from a darker green near the center to a lighter green at the upper band. Band Borders : The lines outlining the upper and lower bands, with customizable color and width. Future Projection Lines & Fill : Projected Regression Line : An extension of the current regression line into the future, typically styled differently (e.g., dashed). Projected Channel Bands : Extensions of the upper and lower volatility bands. Projected Area Fill : A semi-transparent fill between the projected upper and lower bands. Candle Heatmap Coloring : When enabled, candles are colored based on their closing price's relative position within the channel. Bullish colors appear when price is in the upper part of the channel, bearish in the lower, and neutral in the middle. Users can choose to color the entire candle body or just the wicks and borders. Background Volatility Pulse : The chart's background color subtly shifts (e.g., between a calm green and an agitated red-pink) to reflect the current volatility regime. Trend Strength Meter : A text label (e.g., "TREND: STRONG BULLISH") positioned on the chart, providing an at-a-glance summary of the trend. Configuration Options Users can tailor the indicator extensively via the settings panel, with options logically grouped: Core Analysis Engine : Adjust regression source data, lookback period, and EMA smoothing for the regression line. Regression Line Visuals : Control visibility, line width, trend-based colors (uptrend, downtrend, flat), slope thresholds for trend definition, strong slope multiplier (for Trend Meter), and color gradient sharpness. Volatility Channel Configuration : Select band calculation mode (ATR, StdDev, Keltner), set relevant periods and multipliers. Customize colors for vertical gradient fills (upper/lower, top/bottom), border line colors, widths, and the gradient spread factor for fills. Future Projection Configuration : Toggle visibility, set projection length (number of bars), line style, and colors for projected regression and band areas. Appearance & Candle Theme : Set default bull/bear candle colors, enable/disable candle heatmap, choose if body color matches heatmap, and configure heatmap gradient target colors (bull, neutral, bear) and the gradient's midpoint. Background Volatility Pulse : Enable/disable the background effect and configure short/long ATR periods for the volatility calculation. Trend Strength Meter : Enable/disable the meter, and choose its on-chart position and text size. Interpretation Notes -The Regression Line is the primary indicator of trend direction. Its slope and color provide immediate insight. -The Volatility Bands serve as dynamic support and resistance zones. Price approaching or touching these bands may indicate potential turning points or breakouts. The width of the channel itself reflects market volatility – widening suggests increasing volatility, while narrowing suggests consolidation. Future Projections are not predictions but rather an extension of current conditions. They can help visualize potential areas where price might interact with projected support/resistance if the current trend and volatility persist. Candle Heatmap Coloring offers a quick visual assessment of where price is trading within the dynamic envelope, highlighting strength or weakness relative to the channel. The Background Volatility Pulse gives a contextual feel for overall market agitation or calmness. This indicator is designed to be a comprehensive analytical tool. Its signals and visualizations are best used in conjunction with other technical analysis techniques, price action study, and robust risk management practices. It is not intended as a standalone trading system. Risk Disclaimer Trading and investing in financial markets involve substantial risk of loss and is not suitable for every investor. The Dynamic Volatility Envelope indicator is provided for analytical and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance is not indicative of future results. Always use sound risk management practices and never trade with capital you cannot afford to lose. The developers assume no liability for any financial losses incurred based on the use of this indicator.
Pine Script® 인디케이터
sizzlinsoft의
2
Reverse Keltner Channel StrategyReverse Keltner Channel Strategy Overview The Reverse Keltner Channel Strategy is a mean-reversion trading system that capitalizes on price movements between Keltner Channels. Unlike traditional Keltner Channel strategies that trade breakouts, this system takes the contrarian approach by entering positions when price returns to the channel after overextending. Strategy Logic Long Entry Conditions: Price crosses above the lower Keltner Channel from below This signals a potential reversal after an oversold condition Position is entered at market price upon signal confirmation Long Exit Conditions: Take Profit: Price reaches the upper Keltner Channel Stop Loss: Placed at half the channel width below entry price Short Entry Conditions: Price crosses below the upper Keltner Channel from above This signals a potential reversal after an overbought condition Position is entered at market price upon signal confirmation Short Exit Conditions: Take Profit: Price reaches the lower Keltner Channel Stop Loss: Placed at half the channel width above entry price Key Features Mean Reversion Approach: Takes advantage of price tendency to return to mean after extreme moves Adaptive Stop Loss: Stop loss dynamically adjusts based on market volatility via ATR Visual Signals: Entry points clearly marked with directional triangles Fully Customizable: All parameters can be adjusted to fit various market conditions Customizable Parameters Keltner EMA Length: Controls the responsiveness of the channel (default: 20) ATR Multiplier: Determines channel width/sensitivity (default: 2.0) ATR Length: Affects volatility calculation period (default: 10) Stop Loss Factor: Adjusts risk management aggressiveness (default: 0.5) Best Used On This strategy performs well on: Currency pairs with defined ranging behavior Commodities that show cyclical price movements Higher timeframes (4H, Daily) for more reliable signals Markets with moderate volatility Risk Management The built-in stop loss mechanism automatically adjusts to market conditions by calculating position risk relative to the current channel width. This approach ensures that risk remains proportional to potential reward across varying market conditions. Notes for Optimization Consider adjusting the EMA length and ATR multiplier based on the specific asset and timeframe: Lower values increase sensitivity and generate more signals Higher values produce fewer but potentially more reliable signals As with any trading strategy, thorough backtesting is recommended before live implementation. Past performance is not indicative of future results. Always practice sound risk management.
Pine Script™ 전략
fenyesk의
Original Keltner with Support And ResistanceThis indicator is based on the original Keltner Channels using typical price and calculating the 10 period average of high - low Typical price = (high + low + close)/3 In this case, I've taken Typical price as (open + high + low + close)/4 on the advice of John Bollinger from his book Bollinger on Bollinger Bands. Buy Line = 10 Period Typical Price Average + 10 Period Average of (High - Low) Sell Line = 10 Period Typical Price Average - 10 Period Average of (High - Low) This is the basis for the indicator. I've added the highest of the Buy Line and lowest of the Sell Line for the same period which acts as Support and Resistance. If price is trending below the Lowest of Sell Line, take only sell trades and the Lowest Line acts as resistance. If price is trending above the Highest of Buy Line, take only buy trades and the Highest Line acts as support.
Pine Script® 인디케이터
achaggi의
MTF BB+KC Avg Bollinger Bands (BB) are a widely used technical analysis created by John Bollinger in the early 1980’s. Bollinger Bands consist of a band of three lines which are plotted in relation to instrument prices. The line in the middle is usually a Simple Moving Average (SMA) set to a period of 20 days (The type of trend line and period can be changed by the trader; however a 20 day moving average is by far the most popular). This indicator does not plot the middle line. The Upper and Lower Bands are used as a way to measure volatility by observing the relationship between the Bands and price. Typically the Upper and Lower Bands are set to two standard deviations away from the middle line, however the number of standard deviations can also be adjusted in the indicator. Keltner Channels (KC) are banded lines similar to Bollinger Bands and Moving Average Envelopes. They consist of an Upper Envelope above a Middle Line (not plotted in this indicator) as well as a Lower Envelope below the Middle Line. The Middle Line is a moving average of price over a user-defined time period. Either a simple moving average or an exponential moving average are typically used. The Upper and Lower Envelopes are set a (user-defined multiple) of a range away from the Middle Line. This can be a multiple of the daily high/low range, or more commonly a multiple of the Average True Range. This indicator is built on AVERAGING the BB and KC values for each bar, so you have an efficient metric of AVERAGE volatility. The indicator visualizes changes in volatility which is of course dynamic. What to look for High/Low Prices One thing that must be understood about this indicator's plots is that it averages by adding BB levels to KC levels and dividing by 2. So the plots provide a relative definition of high and low from two very popular indicators. Prices are almost always within the upper and lower bands. Therefore, when prices move up near the upper or lower bands or even break through the band, many traders would see that price action as OVER-EXTENDED (either overbought or oversold, as applicable). This would preset a possible selling or buying opportunity. Cycling Between Expansion and Contraction Volatility can generally be seen as a cycle. Typically periods of time with low volatility and steady or sideways prices (known as contraction) are followed by period of expansion. Expansion is a period of time characterized by high volatility and moving prices. Periods of expansion are then generally followed by periods of contraction. It is a cycle in which traders can be better prepared to navigate by using Bollinger Bands because of the indicators ability to monitor ever changing volatility. Walking the Bands Of course, just like with any indicator, there are exceptions to every rule and plenty of examples where what is expected to happen, does not happen. Previously, it was mentioned that price breaking above the Upper Band or breaking below the Lower band could signify a selling or buying opportunity respectively. However this is not always the case. “Walking the Bands” can occur in either a strong uptrend or a strong downtrend. During a strong uptrend, there may be repeated instances of price touching or breaking through the Upper Band. Each time that this occurs, it is not a sell signal, it is a result of the overall strength of the move. Likewise during a strong downtrend there may be repeated instances of price touching or breaking through the Lower Band. Each time that this occurs, it is not a buy signal, it is a result of the overall strength of the move. Keep in mind that instances of “Walking the Bands” will only occur in strong, defined uptrends or downtrends. Inputs TimeFrame You can select any timeframe froom 1 minute to 12 months for the bar measured. Length of the internal moving averages You can select the period of time to be used in calculating the moving averages which create the base for the Upper and Lower Bands. 20 days is the default. Basis MA Type Determines the type of Moving Average that is applied to the basis plot line. Default is SMA and you can select EMA. Source Determines what data from each bar will be used in calculations. Close is the default. StdDev/Multiplier The number of Standard Deviations (for BB) or Multiplier (for KC) away from the moving averages that the Upper and Lower Bands should be. 2 is the default value for each indicator.
Pine Script® 인디케이터
HS_TA_의
ATR Bands (Keltner Channel), Wick and SRSI Signals [MW]Introduction This indicator uses a novel combination of ATR Bands, candle wicks crossing the ATR upper and lower bands, and baseline, and combines them with the Stochastic SRSI oscillator to provide early BUY and SELL signals in uptrends, downtrends, and in ranging price conditions. How it’s unique People generally understand Bollinger Bands and Keltner Channels. Buy at the bottom band, sell at the top band. However, because the bands themselves are not static, impulsive moves can render them useless. People also generally understand wicks. Candles with large wicks can represent a change in pattern, or volatile price movement. Combining those two to determine if price is reaching a pivot point is relatively novel. When Stochastic RSI (SRSI) filtering is also added, it becomes a genuinely unique combination that can be used to determine trade entries and exits. What’s the benefit The benefit of the indicator is that it can help potentially identify pivots WHEN THEY HAPPEN, and with potentially minimal retracement, depending on the trader’s time window. Many indicators wait for a trend to be established, or wait for a breakout to occur, or have to wait for some form of confirmation. In the interpretation used by this indicator, bands, wicks, and SRSI cycles provide both the signal and confirmation. It takes into account 3 elements: Price approaching the upper or lower band or the baseline - MEANING: Price is becoming extended based on calculations that use the candle trading range. A candle wick of a defined proportion (e.g. wick is 1/2 the size of a full candle OR candle body) crosses a band or baseline, but the body does not cross the band or baseline - MEANING: Buyers and sellers are both very active. The Stochastic RSI reading is above 80 for SELL signals and below 20 for BUY signals - MEANING: Additional confirmation that price is becoming extended based on the current cyclic price pattern. How to Use SIGNALS Buy Signals - Green(ish): B Signal - Potential pivot up from the lower band when using the preferred multiplier B1 Signal - Potential pivot up from the lower band when using phi * multiplier B2 Signal - Potential pivot up from the lower band when using 1/2 * multiplier B3 Signal - Potential pivot up from baseline Sell Signals - Red(ish): S Signal - Potential pivot down from the upper band when using the preferred multiplier S1 Signal - Potential pivot down from the upper band when using S2 Signal - Potential pivot down from the upper band when using 1/2 * multiplier S3 Signal - Potential pivot down from the baseline DISCUSSION During an uptrend or downtrend, signals from the baseline can help traders identify areas where they may enter the trending move with the least amount of drawdown. In both cases, entry points can occur with baseline signals in the direction of the trend. For example, in an uptrend (when the price is forming higher highs and higher lows, or when the baseline is rising), price tends to oscillate between the upper band and baseline. In this case, the baseline BUY signal (B3) can show an entry point. In a downtrend (when the price is forming lower highs and lower lows, or when the baseline is falling), price tends to oscillate between the baseline and the lower band. In this case, the baseline SELL signal (S3) can show an entry point. During consolidation, when price is ranging, price tends to oscillate between the upper and lower bands, while crossing through the baseline unperturbed. Here, entry points can occur at the upper and lower bands. When all conditions are met at the lower band during consolidation, a BUY signal (B), can occur. This signal may also occur prior to a break out of consolidation to the upside. When all conditions are met at the upper band during consolidation, a SELL signal (S), can occur. This signal may also occur prior to a break out of consolidation to the downside. Additional B1, B2, and S1, and S2 signals can be displayed that use the bands based on a multiplier that is half that of the primary one, and phi (0.618) times the primary multiplier as a way to quickly check for signals occurring along different, but related, bands. Calculations ATR Bands, or Keltner Channels, are a technical analysis tool that are used to measure market volatility and identify overbought or oversold conditions in the trading of financial instruments, such as stocks, bonds, commodities, and currencies. ATR Bands consist of three lines plotted on a price chart: Middle Band, Basis, or Baseline: This is typically a simple moving average (SMA) of the closing prices over a certain period. It represents the intermediate-term trend of the asset's price. Upper Band: This is calculated by adding a certain number of ATRs to the middle band (SMA). The upper band adjusts itself with the increase in volatility. Lower Band: This is calculated by subtracting the same number of ATRs from the middle band (SMA). Like the upper band, the lower band adjusts to changes in volatility. The candle wick signals occur if the wick is at the specified ratio compared to either the entire candle or the candle body. The upper band, lower band, and baseline signals happen if the wick is the specified ratio of the total candle size. For the major signals for upper and lower bands, these occur when the wick extends outside of the bands while closing a candle inside of the bands. For the baseline signals, they occur if a wick crosses a baseline but closes on the other side. Settings CHANNEL SETTINGS Baseline EMA Period (Default: 21): Period length of the moving average basis line. ATR Period (Default: 21): The number of periods over which the Average True Range (ATR) is calculated. Basis MA Type (Default: SMA): The moving average type for the basis line. Multiplier (Default: 2.5: The deviation multiplier used to calculate the band distance from the basis line. ADDITIONAL CHANNELS Half of Multiplier Offset (Default: True): Toggles the display of the ATR bands that are set a distance of half of the ATR multiplier. Quarter of Multiplier Offset (Default: false): Toggles the display of the ATR bands that are set a distance of one quarter of the ATR multiplier. Phi (Φ) Offset (Default: false): Toggles the display of the ATR bands that are set a distance of phi (Φ) times the ATR multiplier. WICK SETTINGS FOR CANDLE FILTERS Wick Ratio for Bands (Default: 0.4): The ratio of wick size to total candle size for use at upper and lower bands. Wick Ratio for Baseline (Default: 0.4): The ratio of wick size to total candle size for use at baseline. Use Candle Body (rather than full candle size) (Default: false): Determines whether wick calculations use the candle body or the entire candle size. VISUAL PREFERENCES - SIGNALS Show Signals (Default: true): Allows signal labels to be shown. Show Signals from 1/2 Band Offset (Default: false): Toggle signals originating from 1/2 offset upper and lower bands. Show Signals from Phi (Φ) Band Offset (Default: false): Toggle signals originating from phi (Φ) offset upper and lower bands. Show Baseline Signals (Default: false): Toggle Baseline signals. VISUAL PREFERENCES - BANDS Show ATR (Keltner) Bands (Default: true): Use a background color inside the Bollinger Bands. Fill Bands (Default: true): Use a background color inside the Bollinger Bands. STOCHASTIC SETTINGS Use Stochastic RSI Filtering (Default: False): This will only trigger some SELL signals when the stochastic RSI is above 80, and BUY signals when below 20. K (Default: 3): The smoothing level for the Stochastic RSI. RSI Length (Default: 14): The period length for the RSI calculation. Stochastic Length (Default: 8): The period length over which the stochastic calculation is performed. Other Usage Notes and Limitations To understand future price movement, this indicator assumes that 3 things must be known: Evidence of a change of market structure. This can be demonstrated by increased volatility, consolidation, volume spikes (which can be tracked with the MW Volume Impulse Indicator) or, in the case of this indicator, candle wicks. The potential cause of the change. It could be a VWAP line (which can be tracked with the Multi VWAP , and Multi VWAP from Gaps indicators), an event, an important support or resistance level, a key moving average, or many other things. This indicator assumes the ATR bands can be a cause. The current position in the price cycle. Oscillators like the RSI, and MACD, are typical measures of price oscillation (other oscillators like the Price and Volume Stochastic Divergence indicator can also be useful). This indicator uses the Stochastic RSI oscillator to determine overbought and oversold conditions. When evidence of the change appears, and the potential cause of the change is identified, and the price oscillation is at a favorable position for the desired trading direction, this indicator will generate a signal. ATR Bands (or Keltner Channels) are used to determine when price might “revert to the mean”. Crossing, or being near the upper or lower band, can indicate an overbought or oversold condition, which could lead to a price reversal. By tracking the behavior of candle wicks during these events, we can see how active the battle is between buyers and sellers. If the top of a wick is large, it may indicate that sellers are aggressively attempting to bring the price down. Conversely, if the bottom wick is large, it can indicate that buyers are actively trying to counter the price action caused by selling pressure. When this wicking action occurs at times when price is not near the upper band, lower band, or baseline, it could indicate the presence of an important level. That could mean a nearby VWAP line, a supply or demand zone, a round price number, or a number of other factors. In any case, this wick may be the first indication of a price reversal. Shorter baseline periods may be better for short period trading like scalping or day trading, while longer period baselines can show signals that are better suited to swing trading, or longer term investing. It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks. The TradingView platform allows a maximum of 500 labels per chart. This means that if your settings allow for a lot of signals, labels for earlier ones may not appear if the total number of labels exceeds 500 for the chart.
Pine Script® 인디케이터
mwrightinc의
9
[KVA]Keltner Channel PercentageThe " Keltner Channel Percentage " (KC%) indicator, designed for TradingView's version 5 language, offers a unique perspective on market volatility and trend analysis, similar yet distinct from the well-known Bollinger Bands Percentage (BB%). Audience and Applications: This indicator is suited for traders who prefer a volatility-based approach but seek a smoother, trend-focused alternative to BB%. It is especially valuable in markets where volatility is not just a byproduct but a central aspect of price dynamics. In essence, the " Keltner Channel Percentage " stands as a complementary tool to Bollinger Bands Percentage. It offers a different lens through which to view market volatility and trends, providing traders with additional insights and strategies for navigating the financial markets. Its unique combination of simplicity and depth makes it a valuable addition to the technical analyst's toolkit, suitable for a variety of trading scenarios and market conditions.
Pine Script® 인디케이터
Kamvia의
1
LBR-Volatility Breakout BarsThe originator of this script is Linda Raschke of LBR Group. This Pine Script code is the version 5 of LBR Paintbars for TradingView, called "LBR-Bars." It was originally coded for TradingView in version 3 by LazyBear. It is a complex indicator that combines various features such as coloring bars based on different conditions, displaying Keltner channels, and showing volatility lines. Let me break down the key components and explain how it works: 1. Inputs Section: This section defines various input parameters that users can adjust when adding the indicator to their charts. These parameters allow users to customize the behavior and appearance of the indicator. Here are some of the key input parameters: - Users can control whether to color bars under different conditions. For example, they can choose to color LBR bars, color bars above/below Kelts, or color non-LBR bars. - Users can choose whether to show volatility lines or shade Keltner channels' area with the Mid being the moving average on the chart. - In the calculation of Keltner channels, users can set the length of the moving average that the Keltner channels use as the mid and then set the Keltner multiplier. If users want to use "True Range" to determine calculations, they can turn it on or off; it defaults to off. - Users can change the calculation of volatility lines and set the length for finding the lowest and highest prices. The user sets the ATR length and multiplier for the ATR. 2. Calculation Section: This section defines the calculation of the upper and lower standard deviation bands based on the input parameters. It uses Exponential Moving Averages (EMAs) and optionally True Range to calculate these bands if turned on. These bands are used in the Keltner channel calculation. 3. Keltner Channel Section: This section calculates the upper, middle, and lower lines of the Keltner channels. It also plots these lines on the chart. The colors and visibility of these lines are controlled by user inputs. 4. Volatility Lines Section: This section calculates the upper and lower volatility lines based on the lowest and highest prices over a specified period and the ATR. It also checks whether the current close price is above or below these lines accordingly. The colors and visibility of these lines are controlled by user inputs. 5. Bar Colors Section: This section determines the color of the bars on the chart based on various conditions. It checks whether the current bar meets conditions like being an LBR bar, being above or below volatility lines, or being in "No Man's Land." The color of the bars is set accordingly based on user inputs. This Pine Script creates an indicator that provides visual cues on the chart based on Keltner channels, volatility lines, and other customizable conditions. Users can adjust the input parameters to tailor the indicator's behavior and appearance to their trading preferences.
Pine Script® 인디케이터
thebearfib의
2
[dharmatech] KBDR Mean ReversionBased on the criteria described in the book "Mean Revision Trading" by Nishant Pant. Bullish signal criteria: Bollinger Bands must be outside Keltner Channel Price near bottom bband DI+ increasing DI- decreasing RSI near bottom and increasing Bearish signal criteria: Bollinger Bands must be outside Keltner Channel Price near upper bband DI+ decreasing DI- increasing RSI near upper and decreasing A single triangle indicates that all 4 criteria are met. If letters appear with the triangle, this indicates that there was a partial criteria match. K : bbands outside Keltner B : bbands criteria met D : DI criteria met R : RSI criteria met You can use the settings to turn off partial signals. For example: "Partial 3" means show signals where 3 of the criteria are met. If you want more insight into the underlying criteria, load these indicators as well: Bollinger Bands (built-in to TradingView) Keltner Channels (built-in to TradingView) RSI (built-in to TradingView) ADX and DI Warning: Not meant to be used as a stand-alone buy/sell signal. It regularly provides signals which would not be profitable. It's meant to be used in conjunction with other analysis. Think of this as a time-saving tool. Instead of manually checking RSI, DI+/DI-, bbands, distance, etc. this does all of that for you on the fly.
Pine Script® 인디케이터
dharmatech의
1
Auto-Length Adaptive ChannelsIntroduction The key innovation of the ALAC is the implementation of dynamic length identification, which allows the indicator to adjust to the "market beat" or dominant cycle in real-time. The Auto-Length Adaptive Channels (ALAC) is a flexible technical analysis tool that combines the benefits of five different approaches to market band and price deviation calculations. Traders often tend to overthink of what length their indicators should use, and this is the main idea behind this script. It automatically calculates length based on pivot points, averaging the distance that is in between of current market highs and lows. This approach is very helpful to identify market deviations, because deviations are always calculated and compared to previous market behavior. How it works The indicator uses a Detrended Rhythm Oscillator (DRO) to identify the dominant cycle in the market. This length information is then used to calculate different market bands and price deviations. The ALAC combines five different methodologies to compute these bands: 1 - Bollinger Bands 2 - Keltner Channels 3 - Envelope 4 - Average True Range Channels 5 - Donchian Channels By averaging these calculations, the ALAC produces an overall market band that generalizes the approaches of these five methods into a single, adaptive channel. How to Use When the price is at the upper band, this might suggest that the asset is overbought and may be due for a price correction. Conversely, when the price is at the lower band, the asset may be oversold and due for a price increase. The space between the bands represents the market's volatility. Wider bands indicate higher volatility, while narrower bands suggest lower volatility. Indicator Settings The settings of the ALAC allow for customization to suit different trading strategies: Use Autolength?: This allows the indicator to automatically adjust the length of the dominant cycle. Usual Length: If "Use Autolength?" is disabled, this setting allows the user to manually specify the length of the cycle. Moving Average Type: This selects the type of moving average to be used in the calculations. Options include SMA, EMA, ALMA, DEMA, JMA, KAMA, SMMA, TMA, TSF, VMA, VAMA, VWMA, WMA, and ZLEMA. Channel Multiplier: This adjusts the distance between the bands. Channel Multiplier Step: This changes the step size of the channel multiplier. Each next market band will be multiplied by a previous one. You can potentially use values below 1, which will plot bands inside the first, main channel. Use DPO instead of source data?: This setting uses the DPO for calculations instead of the source data. Basically, this is how you can add or eliminate trend from calculation of an average leg-up / leg-down move. Fast: This adjusts the fast length of the DPO. Slow: This adjusts the slow length of the DPO. Zig-zag Period: This adjusts the period of the zig-zag pattern used in the DPO. (!) For more information about DPO visit official TradingView description here: link Also, I want to say thanks to @StockMarketCycles for initial idea of Detrended Rhythm Oscillator (DRO) that I use in this script. The Adaptive Average Channel is a powerful and versatile indicator that combines the strengths of multiple technical analysis methods. In summary, with the ALAC, you can: 1 - Dynamically adapt to any asset and price action with automatic calculation of dominant cycle lengths. 2 - Identify potential overbought and oversold conditions with the adaptive market bands. 3 - Customize your analysis with various settings, including moving average type and channel multiplier. 4 - Enhance your trading strategy by using the indicator in conjunction with other forms of analysis.
Pine Script® 인디케이터
mezor13의
4