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Balance Zone ProjectorOVERVIEW Projects balance zones above and below up to 3 anchor zones. Each zone represents a 2x, 4x, 8x... multiple of the original anchor height, helping you identify key price levels for entries, exits, and targets. HOW TO USE 1. Add the indicator to your chart 2. Click to set Anchor 1 High (top of your zone) 3. Click to set Anchor 1 Low (bottom of your zone) 4. Zones automatically project above and below MULTIPLE ANCHORS Enable Anchor 2 and Anchor 3 in settings to track multiple zones at different time periods. Each anchor has its own: - High/Low prices - Bars Back (where to start drawing) - Bars Forward (zone width) ZONE GROUPS Zones are colored by group for easy identification: - Group 1: Zones 1-2 (nearest to anchor) - Group 2: Zones 3-6 - Group 3: Zones 7-14 - Group 4: Zones 15-30 CUSTOMIZATION - Enable/disable up or down projections - Adjust colors and transparency per zone group - Show/hide zone labels and midlines - Customize label text templates SETTINGS All anchors share the same visual settings (colors, labels, midlines) for consistency. Individual anchor timing is controlled per-anchor. Based on the Balance Zone Engine concept for Sierra Chart.
Pine Script® göstergesi
ianhay78 tarafından
[COG] NautilusOverview This indicator combines multiple technical analysis tools to identify high-probability entry points in trending markets. It uses moving average crossovers for trend direction, Bollinger Bands for mean reversion opportunities, and optional filters to reduce false signals and avoid choppy market conditions. What Makes This Indicator Unique Heiken Ashi Toggle: All calculations can be performed on either regular or Heiken Ashi candles with a single click Multi-Layer Filtering System: Four independent filters work together to improve signal quality First Entry Detection: Automatically identifies and labels the first signal after a trend change Anti-Overtrading Protection: Built-in cooldown mechanism prevents signal spam Core Components 1. Trend Detection (EMA/SMA Crossover) The indicator uses a 15-period EMA and 50-period SMA to determine market direction. Buy signals only occur when EMA > SMA, and sell signals only when EMA < SMA. // Trend Detection bullishTrend = ema15 > sma50 bearishTrend = ema15 < sma50 2. Bollinger Bands Mean Reversion Entry signals trigger when price touches or penetrates the Bollinger Bands, indicating potential reversal or pullback opportunities within the established trend. //Bollinger Band Touch Detection lowerBandTouch = selectedLow <= bbLower upperBandTouch = selectedHigh >= bbUpper // Base Entry Conditions baseBuySignal = bullishTrend and lowerBandTouch and bullishClose baseSellSignal = bearishTrend and upperBandTouch and bearishClose 3. Candle Confirmation Signals require a bullish candle close (close > open) for buy signals and bearish candle close (close < open) for sell signals, ensuring momentum alignment. // Candle Close Type bullishClose = selectedClose > selectedOpen bearishClose = selectedClose < selectedOpen Optional Filters (All Toggleable) Filter 1: StochRSI Momentum Ensures entries occur during oversold/overbought conditions. Buy signals require StochRSI < 20, sell signals require StochRSI > 80. // StochRSI Calculation rsi = ta.rsi(stochRSISource, rsiLength) stochRSI_K = ta.sma(ta.stoch(rsi, rsi, rsi, stochRSILength), stochKSmooth) // Filter Conditions stochRSIOversoldCondition = stochRSI_K < stochRSIOversold stochRSIOverboughtCondition = stochRSI_K > stochRSIOverbought Filter 2: MA Separation (Anti-Chop) Blocks signals when moving averages are too close together, indicating sideways/choppy market conditions. Default threshold is 1% separation. // Calculate percentage separation between EMA and SMA maSeparationPct = (math.abs(ema15 - sma50) / sma50) * 100 // MA separation filter condition maSeparationValid = maSeparationPct >= maSeparationThreshold Why this matters: When the 15 EMA and 50 SMA are very close (< 1% apart), the market is typically consolidating. Signals in these conditions have lower win rates. Filter 3: Cooldown Period Prevents over-trading by blocking new signals for a specified number of bars (default: 10) after a signal occurs. Buy and sell cooldowns are tracked separately. // Variables to track the bar index of the last signal var int lastBuySignalBar = na var int lastSellSignalBar = na // Calculate bars since last signal barsSinceLastBuy = na(lastBuySignalBar) ? 999999 : bar_index - lastBuySignalBar // Cooldown filter condition buyCooldownValid = barsSinceLastBuy >= cooldownBars // Update tracking when signal fires if buySignal lastBuySignalBar := bar_index Advanced Features Heiken Ashi Mode Toggle between regular candles and Heiken Ashi candles for all calculations. Heiken Ashi candles smooth price action and can reduce false signals in volatile markets. // Fetch Heiken Ashi OHLC values = request.security( ticker.heikinashi(syminfo.tickerid), timeframe.period, ) // Select which OHLC to use based on toggle selectedClose = useHeikenAshi ? haClose : close First Entry Detection Automatically identifies and labels the first signal after a trend change with "1. Trend Cycle Entry" text. This helps traders distinguish between fresh trend entries and continuation signals. // Detect trend changes trendChangedToBullish = bullishTrend and not bullishTrend // Reset tracking when trend changes if trendChangedToBullish hadBuySignalInCurrentBullTrend := false // Identify first signal in new trend isFirstBuyInTrendCycle = buySignal and not hadBuySignalInCurrentBullTrend How Signals Are Generated The indicator uses a layered approach where each condition must be satisfied: // Apply all filters buySignal = enableBuySignals and baseBuySignal and (not enableStochRSIFilter or stochRSIOversoldCondition) and (not enableMASeparationFilter or maSeparationValid) and (not enableCooldownFilter or buyCooldownValid) Buy Signal Requirements: ✅ 15 EMA above 50 SMA (bullish trend) ✅ Candle low touches or goes below lower Bollinger Band ✅ Candle closes bullish (green) ✅ (Optional) StochRSI < 20 ✅ (Optional) MA separation > threshold % ✅ (Optional) Cooldown period expired Sell Signal Requirements: ✅ 15 EMA below 50 SMA (bearish trend) ✅ Candle high touches or goes above upper Bollinger Band ✅ Candle closes bearish (red) ✅ (Optional) StochRSI > 80 ✅ (Optional) MA separation > threshold % ✅ (Optional) Cooldown period expired Customization Options Moving Averages: Adjustable EMA length (default: 15) Adjustable SMA length (default: 50) Source selection (Close, Open, High, Low, HL2, HLC3, OHLC4) Bollinger Bands: Adjustable length (default: 20) MA type selection (SMA, EMA, SMMA, WMA, VWMA) Adjustable standard deviation multiplier (default: 2.0) StochRSI Filter: Adjustable RSI length (default: 14) Adjustable Stochastic length (default: 14) Customizable oversold/overbought levels (default: 20/80) MA Separation Filter: Adjustable minimum separation percentage (default: 1.0%) Cooldown Filter: Adjustable cooldown period in bars (default: 10) Visual Settings: Customizable colors for all elements Adjustable line widths Toggle first entry labels on/off How to Use Basic Setup: Apply the indicator to your chart. By default, it shows moving averages, Bollinger Bands, and entry signals. Choose Your Mode: Enable Heiken Ashi mode if you prefer smoother signals and are willing to accept some lag. Enable Filters: Start with all filters disabled to see raw signals. Then enable filters one by one: Start with MA Separation filter to avoid choppy markets Add StochRSI filter to catch better momentum conditions Add Cooldown filter to prevent over-trading Adjust Parameters: Tune the parameters based on your timeframe and trading style: Lower timeframes: Consider shorter cooldown periods Higher timeframes: May want tighter MA separation requirements Watch for First Entry Labels: The "1. Trend Cycle Entry" label highlights the highest-probability signals occurring right after trend changes. Important Notes ⚠️ This indicator does not repaint. All signals appear on closed candles only. ⚠️ Past performance is not indicative of future results. This indicator should be used as part of a complete trading strategy with proper risk management. ⚠️ Filters reduce signal frequency: Enabling multiple filters will significantly reduce the number of signals. This is intentional to improve quality over quantity. ⚠️ Heiken Ashi mode considerations: While HA mode smooths signals, it can also introduce lag. Test both modes on your preferred timeframe. Best Practices Always backtest on your preferred timeframe before live trading Start conservative with tighter filters, then loosen if needed Pay special attention to "First Entry" signals for highest probability setups Use appropriate position sizing and stop losses Consider market conditions: trending vs ranging Disclaimer This indicator is for educational purposes only and should not be considered financial advice. Trading involves substantial risk of loss. Always do your own research and consider your risk tolerance before trading.
Pine Script® göstergesi
CognitiveAlpha tarafından
4
Trend-cycle reversion (multi-timeframe)Trend-cycle reversion (multi-timeframe) is a mean-reversion “stretch” gauge built around a simple idea: price often deviates from its recent path (trend + dominant swing rhythm), and those deviations become more actionable when you scale them by volatility and express them as a standardized score. This script models the last N bars as: 1) a linear trend (to capture drift), plus 2) a single dominant cycle (to capture the most prominent oscillation inside the same window). It then measures how far current price is from the model’s next-bar projection, normalizes that distance by ATR (volatility), and finally converts the result into a rolling Z-score. The output is displayed as a multi-timeframe dashboard so you can see “stretch vs. fit” across several time compressions at once. ------------------------------------------------------------ What you see on the chart ------------------------------------------------------------ The indicator draws a table (overlay) with up to 12 rows (configurable), one per timeframe from your CSV list. Each row shows: • TF: The timeframe being evaluated (e.g., 1, 5, 15, 60, 240, D). • Z: The current Z-score of the volatility-scaled model gap on that timeframe. • State: A simple interpretation using your Z threshold: - “Short ▼” when Z > +threshold (price is extended above the model path) - “Long ▲” when Z < −threshold (price is extended below the model path) - “Hold •” when inside the band (not unusually stretched) Colors follow the same logic: red for high positive Z, green for high negative Z, gray when neutral or unavailable. Important: “Long/Short” here describes the direction of mean-reversion pressure (over/under the fitted path), not a complete trading system by itself. ------------------------------------------------------------ How it works (plain-English math) ------------------------------------------------------------ 1) Optional log transform If “Fit on log(price)” is enabled, the model runs on log(price) instead of raw price. This is often useful for markets that behave multiplicatively (large percentage moves, long-term exponential growth), because distances become closer to “percent-like” rather than absolute dollars. 2) Trend fit (linear regression in the window) Over the last Window Length bars, the script estimates a straight-line trend. Think of this as the baseline path that best explains the window if you ignore swings. 3) Cycle search (best period by least-squares error) After removing the linear trend, the script searches for a single sinusoidal cycle period between: • Min Period and Max Period (in bars), stepping by Period Step. For each candidate period, it computes the best-fitting sine+cosine components and measures the remaining error (SSE). The period with the smallest SSE is selected as the “best” cycle for that window. To reduce recalculation cost and to keep the chosen cycle from flapping every bar, the script re-runs this period search only every “Re-search best period every N bars”. Between searches, it keeps using the last best period. 4) Next-bar projection and “gap” Using the fitted trend + fitted cycle, the script projects the model value one bar ahead (relative to the window indexing). It then computes: gap = (current value) − (projected value) If “Invert sign” is enabled, the gap is multiplied by −1. This doesn’t change magnitude, it only flips interpretation (useful if you prefer the opposite sign convention). 5) Volatility scaling via ATR The raw gap is divided by ATR to make it comparable across symbols and regimes. If you are fitting on log(price), ATR is also computed in log space using a log-based true range, then smoothed similarly (so the scale is consistent). This produces a “gap in ATR units”. 6) Z-score standardization Finally, the script computes a rolling Z-score of the ATR-scaled gap over “Z-score length”: Z = (gapATR − mean(gapATR)) / stdev(gapATR) This is what appears in the table. The Z-score answers: “How unusual is today’s model deviation compared to the last Z-score length observations?” ------------------------------------------------------------ How to interpret the Z-score ------------------------------------------------------------ Z near 0: Price is close to the model path relative to recent volatility (nothing unusual). Z above +threshold: Price is meaningfully ABOVE the fitted path (stretched up). This can be read as elevated downside mean-reversion pressure — but it can also persist during strong trends. Z below −threshold: Price is meaningfully BELOW the fitted path (stretched down). This can be read as elevated upside mean-reversion pressure — but it can also persist during fast selloffs. A practical way to use this indicator is to treat it as a “context filter” or “risk tool”: • Fading extremes: look for mean-reversion setups when Z is beyond the threshold and price action confirms (e.g., momentum stalls, structure breaks, volatility contraction/expansion cues). • Trend-aware reversion: only take “reversion” signals in the direction permitted by your separate trend filter (higher-timeframe trend, moving average regime, market structure, etc.). • Take-profit / risk management: in a trend-following strategy, extremes can be used as partial profit zones or as “don’t chase here” warnings. ------------------------------------------------------------ Multi-timeframe (MTF) notes ------------------------------------------------------------ Each table row is computed with request.security() on that timeframe with no lookahead, so it is not using future bars to form the value. However, like any live indicator, the value for an actively forming bar can change until that bar closes (especially on the lower timeframes). Also, higher-timeframe rows update when that higher-timeframe bar updates/closes. ------------------------------------------------------------ Inputs (what to change first) ------------------------------------------------------------ If you only change a few settings, start here: • Window Length: Controls how much history the model uses. Larger = smoother/stabler, but slower to adapt. • Min/Max Period + Step: Controls the cycle search range and granularity. - Wider ranges can capture more possibilities but cost more computation. - Smaller steps can find a closer match but also cost more. • Re-search every N bars: Higher = faster performance and more stability; lower = more adaptive but can be noisier. • ATR length (scale gap): Controls the volatility scale. Shorter reacts faster to volatility changes; longer is steadier. • Z-score length: Controls how “rare” extremes are. Longer lengths make Z more stable, but require more history and adapt slower to regime shifts. • Z threshold: Defines when the table labels “Long/Short”. Common choices are 1.5–2.5 depending on how selective you want extremes to be. • Timeframes (CSV) + Max table rows: Controls what you see in the dashboard. ------------------------------------------------------------ Limitations and expectations ------------------------------------------------------------ This is a single-cycle, windowed model. Markets can be multi-cycle, non-sinusoidal, or structurally shifting; in those cases the “best period” is simply the best approximation inside the window, not a guarantee of a true underlying rhythm. Z-score extremes are not automatic reversal calls. In strong trends or during volatility shocks, Z can stay extreme longer than expected. Use this as a measurement tool, then combine it with your own confirmation and risk management. This indicator is for analysis/education and does not provide financial advice.
Pine Script® göstergesi
Tradenometry tarafından
ICT Weekly Profile [KTY]【ICT Weekly Profile】📊 A tool for analyzing weekly price structure based on ICT concepts. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 FEATURES - PWH/PWL (Previous Week High/Low) - Key liquidity levels where stops cluster - Watch for sweeps and reversals - PW Open/Close - Tend to act as support/resistance - Extended into current week for reference - Range Box - Visual display of previous week's range - Price inside = Consolidation - Price breaks out = Potential trend start - Monday Range - Monday often sets weekly high or low - Mid-week sweeps are common ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ BEST FOR - Swing traders - Position traders - Weekly bias analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER This indicator is for educational purposes only. Not financial advice. Always do your own research.
Pine Script® göstergesi
Kim-Thank_You tarafından
ICT Kill Zone [KTY]ICT Kill Zone Indicator This indicator displays ICT Kill Zones, which are high-liquidity trading periods during major exchange opening hours. Smart money tends to make significant moves during these times, resulting in increased volatility and trading volume. Four Kill Zones - AS KZ (Asian): Lower volatility, range formation period - LDN KZ (London): European session start, liquidity surge - NY KZ (New York): Europe + US overlap, strongest moves - LDN CL KZ (London Close): London closing, position unwinding period Market Hours Display - Shows actual trading hours for Asian, London, and New York markets - High/low lines for each session Session Indicators - Visual markers at the bottom of chart showing active kill zones - Labels when each kill zone begins 1. Identify which kill zone is currently active 2. Signals during kill zones (CHoCH/BOS, OB, FVG) have higher significance 3. Watch for Asian range breakout in London/New York sessions 4. Be cautious of false moves outside kill zone hours Pro Tips: - New York kill zone typically has the strongest moves - London open often sets the daily direction - Asian session forms the range that gets broken later - Combine kill zones with other ICT concepts for best results Show Kill Zones: Toggle kill zone display on/off Show Market Hours: Toggle market hours lines on/off Show Latest Data Only: Display only the most recent kill zone Daylight Saving Time: Apply DST adjustment (On/Off) Asian Kill Zone Started London Kill Zone Started New York Kill Zone Started London Close Kill Zone Started This indicator is designed for educational purposes. Kill zones only display on 15-minute or lower timeframes. Always combine with proper risk management. If you find this indicator helpful, please leave a like and follow for more ICT-based tools!
Pine Script® göstergesi
Kim-Thank_You tarafından
Joker 20The 20% Range Strategy is a rule-based swing trading approach designed to capture price reversals and breakouts within a stock’s defined yearly range. This strategy works best in range-bound or mildly trending markets and focuses on high-probability entries near extreme price zones. 🔍 Concept The strategy uses the 52-week High and 52-week Low as reference points. The total price range between these two levels is divided. A 20% band from the top and bottom of the range is marked as key decision zones. 📉 Buy Setup (Lower 20% Zone) When the stock price enters the lower 20% of its 52-week range, it indicates potential undervaluation or strong support. Entry: Buy on the next candle after price touches or confirms support in the lower zone. Logic: Risk is limited because price is already near long-term support.
Pine Script® göstergesi
Anurag1123 tarafından
Double Top/Bottom Auto Highlighter - Gate SymbolsAutomatically spots classic reversal patterns with intuitive gate symbols: • Double Bottom (bullish W-shape) → 🚪🔓 (gate open – opportunity unlocked) • Double Top (bearish M-shape) → 🚪🔒 (gate closed – resistance holding) Features: • Pivot-based detection with adjustable lookback & tolerance • Subtle background highlights (green/red) when pattern forms • Toggleable gate symbols – clean and meaningful • Very lightweight – no clutter, perfect for gold, silver, futures How to use: - 🚪🔓 after a sell-off → potential long/bounce setup - 🚪🔒 after a rally → potential short/resistance play - Combine with volume spikes or your WC Cross Clouds for stronger signals Tweak pivot length (5–10) and tolerance (0.3–0.8%) to match your timeframe. Open source – feel free to use, modify or expand! dove– Chesapeake, VA
Pine Script® göstergesi
dovetIlflenkydove tarafından
BTC/M2 Fire Sniffer (Liquidity Range Z-Score)Howdy Fella. Great to see you here, exploring the true data in CRYPTOCAP:BTC analysis. To ensure a perfect view on the markets, here are a few tips on how to fine tune the Fire Sniffer: - Z-Score Lookback: 40 - Liquidity Ratio SuperSmoother Length: 8 - Z-score SuperSmoother Length: 132 Set the ranges as following: Mean: -0.53 Liquidity Cycle Top: 0.8 Liquidity Cycle Bottom: -0.65 With that, you are set to go. Enjoy and make sure to let me know your thoughts on the script. You can contact me on X: @thebitcoinfrontier
Pine Script® göstergesi
CL24 tarafından
Day SeparatorTitle: Professional Day Separator & Custom Session Labels Description: This indicator is a clean and essential tool for intraday traders (M1, M5, M15) who need a clear visual separation between trading days. Unlike the standard TradingView period breaks, this script allows full control over the appearance and the exact timing of the separators to match your broker's server time. Key Features: Deep Black Vertical Lines: High-contrast separators for better chart clarity. Customizable Thickness: Adjust the line width to suit your visual preference and chart background. Custom Session Start: Perfect for traders whose "day" starts at a specific time (e.g., 23:00) due to broker offsets or specific session focus. Centered Day Labels: Day-of-the-week labels (M O N, T U E, etc.) are placed at the bottom of the chart and can be perfectly centered between the separators. Stability: Built using Pine Script V5 with absolute vertical alignment logic to prevent "leaning" or horizontal line glitches. How to use: Line Thickness: Adjust the "Linien Dicke" in the settings to make separators more or less prominent. Align to Broker Time: If your broker starts the new daily candle at 23:00, simply set the "Tagesbeginn" to 23. The separator will then snap to that exact candle. Perfect Label Centering: Use the "Label Stunde" slider to move the day labels left or right until they are centered between your lines (usually around 11:00 or 12:00 depending on your offset). Why use this? Standard session breaks often look cluttered or don't align with local time zones/broker sessions. This script keeps your chart professional and ensures you always know exactly which day of the week you are trading.
Pine Script® göstergesi
Kerem1043 tarafından