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KeyzoneKeyzone is a dynamic support and resistance framework that identifies price reaction zones using the highest and lowest values over specific lookback periods. It consists of four pairs of upper and lower lines: – Keyzone 3 (light green): short-term micro swing zones – Keyzone 8 (dark green): short-term intraday zones – Keyzone 21 (orange): medium-term structural zones – Keyzone 89 (red): long-term major zones Each Keyzone adapts automatically to price movement, helping traders see where market participants are likely to react. The shorter zones (3, 8) capture quick pullbacks, while the longer zones (21, 89) reveal deeper institutional levels. This makes Keyzone a clear, multi-layered visual map of market structure that adjusts with every new candle.
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Uttaya tarafından
Margen de confianzaIt uses two moving averages (20 and 80). Based on their crossovers, you draw parallel bands. The zone between these bands signals “confidence.” A downside break warns of risk; an upside break suggests price could push to new highs. Son 2 medias moviles. Una de 20 y otra de 80. Utilizando los cruces se puede trazar lineas paralelas. En las zonas que quedan entre estas lineas hay "confianza". Si el precio atraviesa para abajo hay peligro y si atraviesa para arriba puede ir a romper maximos
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spangenberggerman tarafından
JiNFOJiNFO is a clean, data-driven overlay that displays key information about the current symbol directly on your chart — without clutter. 🧭 What it shows Company & Symbol Info – Name, ticker, sector, industry, market cap Timeframe Label – Current chart timeframe (auto-formatted) ATR (14) & % Volatility – With color dots for low 🟢 / medium 🟡 / high 🔴 volatility Moving Average Status – Indicates if price is above or below the selected MA (default 150) RSI & RSI-SMA (14) – Compact line with live values and color dot for overbought/neutral/oversold zones Distance from SMA (50) – Shows how far price is from the 50 MA (+/- %) and grades it A–D by distance 🟢🟠🔴 Earnings Countdown – Days remaining until the next earnings date (if available) ⚙️ Customization Position (top/middle/bottom, left/center/right) Text size (default Small), color, opacity (100 %) Toggle any data row on or off Choose compact or verbose labels 🧩 Purpose JiNFO replaces bulky data panels with a lightweight, transparent information layer — perfect for traders who want essential fundamentals, volatility, and technical context at a glance.
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yoni_ag tarafından
VIX Regime AnalyzerVIX Regime Analyzer The VIX Regime Analyzer is an analytical tool that examines historical VIX patterns to provide insights into how your asset typically performs under similar volatility conditions. Key Features: Historical Pattern Matching: Automatically scans up to 1,000 bars of history to find all periods when VIX was at levels similar to today, using customizable tolerance ranges (absolute or percentage-based). Forward-Looking Statistics: For each VIX regime match, calculates what actually happened to your asset over the next 1, 5, 10, and 20 trading days, providing both average returns and probability of positive outcomes. Regime Classification System: Intelligently categorizes the current market environment as bullish or bearish: Visual Historical Context: Background shading throughout your chart highlights every historical period when VIX matched current levels, color-coded by subsequent performance (green for gains, red for losses). User Inputs: VIX Level Tolerance (+/-): How closely VIX must match (default: ±5 points) Use Relative Tolerance (%): Switch to percentage-based matching for consistency across different VIX levels Lookback Period: How many bars to analyze Highlight Historical VIX Matches: Toggle background highlighting of past matching periods The Data Table The statistics box appears in the right handside of your chart and contains three main sections: Section 1: VIX REGIME Current VIX: The live VIX closing price Range: The tolerance band being searched (e.g., if VIX is 18 with ±5 tolerance, range is 13-23) Historical Samples: Number of matching periods found in the lookback window (minimum 10 required for statistical validity) Section 2: FORWARD RETURN Shows the average percentage change in your asset over different timeframes following similar VIX levels: Avg Next Day: What typically happened by the next trading session Avg Next 5 Days: Average 5-day forward performance Avg Next 10 Days: Average 10-day forward performance Avg Next 20 Days: Average 20-day forward performance (approximately 1 month) Section 3: PROBABILITY UP Shows the win rate - the percentage of times your asset closed higher after VIX matched current levels: Next Day: Probability of being up the next session Next 5 Days: Probability of being up after 5 days Next 10 Days: Probability of being up after 10 days Next 20 Days: Probability of being up after 20 days Colors: 🟢 Green: Bullish regimes (various strengths) 🔴 Red: Bearish regimes (various strengths) 🟡 Yellow: Choppy/uncertain regime When "Highlight Historical VIX Matches" is enabled: Scroll back through your chart and you'll see colored backgrounds highlighting every period when VIX matched today's level. The color tells you whether that match led to gains (green) or losses (red). This provides instant visual pattern recognition - you can quickly see if similar VIX levels historically led to bullish or bearish outcomes. Practical Example: If you see that most historical periods with similar VIX levels are highlighted in green, it suggests the current VIX level has historically been a bullish signal for your asset. How The Indicator Makes Decisions The regime classification uses both magnitude AND probability to avoid false signals: Example of Strong Classification: Average 5-day return: +1.5% Win rate: 65% Result: STRONG BULLISH (both high return and high probability) Example of Weak Signal: Average 5-day return: +2.0% Win rate: 35% Result: CHOPPY (high average but low consistency = unreliable) This dual-factor approach ensures the indicator doesn't mislead you with regimes that had a few huge winners but mostly losers, or vice versa. Best Practices Combine with your existing strategy: Use this as a regime filter rather than standalone signals Check sample size: More historical matches = more reliable statistics Consider multiple timeframes: If 5-day and 20-day metrics disagree, proceed with caution Asset-specific tuning: Different assets may require different tolerance settings VIX spikes: The indicator is particularly useful during VIX spikes to understand if panic is justified What Makes This Different Unlike simple VIX indicators that just plot the fear index, this tool: Quantifies the actual impact of VIX levels on YOUR specific asset Provides probability-based forecasts rather than subjective interpretation Shows historical context visually so you can see patterns at a glance Uses rigorous statistical criteria to avoid false regime classifications
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CIVolatility tarafından
Ulcer Index (UI) by CoryP1990 – Quant ToolkitThe Ulcer Index measures downside volatility, i.e. how deep and persistent drawdowns are from recent highs. Unlike standard deviation, which treats upside and downside equally, the Ulcer Index focuses purely on pain . It’s a favorite of risk-adjusted performance metrics like the Martin Ratio. How it works Computes the RMS (root-mean-square) of drawdowns over a look-back window. Rising UI → drawdowns worsening (stress increasing). Falling UI → drawdowns shrinking (recovery phase). Red line = Ulcer Index rising. Lime line = Ulcer Index falling. Red background = High-risk regime (above threshold). Green background = Low-risk regime (below threshold). Use cases Gauge portfolio stress levels and timing of recovery phases. Identify “calm vs storm” periods for position sizing. Combine with volatility or sentiment measures for regime classification. Defaults Length = 14 High-risk threshold = 10 Low-risk threshold = 5 Example — NVIDIA (NVDA, 1D) During the sharp decline through 2022, the Ulcer Index repeatedly spiked above 10 while the background turned red, highlighting an extended high-stress drawdown phase. As NVDA began recovering in early 2023, the UI line switched to lime and drifted below 5, marking a transition into a low-risk regime. Throughout 2024–2025, the index stayed mostly sub-5 with brief red pulses on minor corrections, which is clear evidence that downside volatility has remained contained during the broader uptrend. Part of the Quant Toolkit - a series of transparent, open-source indicators designed for professional-grade analytics and education. Built by CoryP1990.
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CoryP1990 tarafından
Volatility Heat-Map, momentum ribbon and divergence detectorThis is a comprehensive volatility + momentum + volume + ATR dashboard with table visualization, momentum ribbon, and divergence detection. It’s optimized for visual clarity with dynamic coloring and is suitable for both trend-following and mean-reversion traders. Table shows: Oscillator values with arrows and K/D status. Current & Daily ATR with tops/bottoms. Volume & % change, rising/falling indicator. Volatility regime (Low/Normal/High) with color coding. Momentum strength (strong/weak bullish/bearish). Oscillator stoch = hh != ll ? 100 * (src - ll) / (hh - ll) : 0 k = smooth(stoch, kSmoothing) d = smooth(k, dSmoothing) Standard stochastic normalization. Smoothing based on selected type (SMA/EMA/WMA). diff between K and D is normalized for the momentum ribbon color: Greenish for bullish, red for bearish, silver for neutral. Overbought / Oversold lines: 80/20, midline at 50. 4. BBWP Calculation bbwp = f_bbwp(i_priceSrc, i_bbwpLen, i_bbwpLkbk, i_basisType) bbwpSMA5 = f_maType(bbwp, 5, "SMA") Heatmap Thresholds: Low < 15% High > 85% Otherwise Normal. Colors dynamically assigned for histogram and table background. Plotted as columns if table Bullish and Bearish divergence labels plotted, both regular and hidden.
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coachyrod tarafından
Institutional AbsorptionHighlights potential zones where institutional participants may be absorbing aggressive buying or selling pressure. It analyzes candle structure and volume to detect possible bullish and bearish absorption events, providing a visual cue for traders studying market imbalance and liquidity dynamics. The script compares each candle’s wick–body ratio and volume relative to its moving average. A bullish absorption setup occurs when strong volume appears after a sharp downward move with long lower wicks, while bearish absorption occurs after upward moves with long upper wicks, suggesting the presence of large counter-orders. + Features Detects bullish and bearish absorption candles. Customizable wick to body ratio and volume multiple thresholds. Optional filter to require candle color alignment with trend (green/red). Option to ignore tiny body (doji-like) candles. + How to Use Adjust wick–body ratio, volume multiplier, and lookback length under “Conditions (Absorption)”. Enable “Require candle color” to strengthen directional context. Use alerts to receive notifications when new absorption signals appear. + Notes This tool aims to visualize possible absorption behavior, not confirm institutional activity. Combine it with your broader market structure, volume, or order flow analysis for a more comprehensive analysis.
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AGreatEscape tarafından
NSR - Dynamic Linear Regression ChannelOverview The NSR - Dynamic Linear Regression Channel is a powerful overlay indicator that plots a dynamic regression-based channel around price action. Unlike static channels, this tool continuously recalculates the linear regression trendline from a user-defined starting point and builds upper and lower boundaries using a combination of standard deviation and maximum price deviations (highs/lows). It visually separates "Premium" (overvalued) and "Discount" (undervalued) zones relative to the regression trend — ideal for mean-reversion, breakout, or trend-following strategies. Key Features Dynamic Regression Line Calculates slope, intercept, and average using full lookback from a reset point. Adaptive Channel Width Combines standard deviation of residuals with max high/low deviations for robust boundaries. Auto-Reset on Breakout Channel resets when price closes beyond upper/lower band twice in direction of trend . Visual Zones Blue shaded = Premium (resistance zone) Red shaded = Discount (support zone) Real-Time Updates Live channel extends with each bar; historical channels preserved on reset. How It Works Regression Calculation Uses all bars since last reset to compute the best-fit line: y = intercept + slope × bar_position Deviation Bands Statistical : Standard deviation of price from regression line Structural : Maximum distance from highs to line (upper) and lows to line (lower) Final band = Regression Line ± (Deviation Input × StdDev) Channel Reset Logic Resets when: Price closes above upper band twice in an uptrend (slope > 0) OR closes below lower band twice in a downtrend (slope < 0) Prevents overextension and adapts to new trends. Visual Output Active channel updates in real-time Completed channels saved as historical reference (up to 500 lines/boxes) Input Parameters Deviation (2.0) - Multiplier for standard deviation to set channel width Premium Color - blue color for upper (resistance) zone Discount Color - red color for lower (support) zone Best Use Cases Mean Reversion - Buy near lower band in uptrend, sell near upper band Breakout Trading - Enter on confirmed close beyond band + volume Trend Confirmation - Use slope direction + price position in channel Stop Loss / Take Profit - Place stops beyond opposite band Pro Tips Use on higher timeframes (4H, Daily) for cleaner regression fits Combine with volume or momentum to filter false breakouts Lower Deviation (e.g., 1.5) for tighter, more responsive channels Watch channel resets — they often mark significant trend shifts Why Use DLRC? "Most channels are static. This one evolves with the market." The NSR-DLRC gives you a mathematically sound, visually intuitive way to see: Where price should be (regression) Where it has been (deviation extremes) When the trend is breaking structure Perfect for traders who want regression-based precision without rigid assumptions. Add to chart → Watch price dance within the evolving trend corridor.
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nsrgroup tarafından
PatternsLibCandle patterns Library 1. Absorption pattern and Signals. Library "PatternsLib" fBase(open, high, low, close, volume, mintick, avoidTinyBodies, lenVolMA, volMult)   Parameters:      open (float)      high (float)      low (float)      close (float)      volume (float)      mintick (float)      avoidTinyBodies (bool)      lenVolMA (int)      volMult (float) fSignals(open, close, upperWick, lowerWick, bodySafe, hiVol, wickBodyMin, requireTrendColor)   Parameters:      open (float)      close (float)      upperWick (float)      lowerWick (float)      bodySafe (float)      hiVol (bool)      wickBodyMin (float)      requireTrendColor (bool) computeSignals(open, high, low, close, volume, mintick, avoidTinyBodies, lenVolMA, volMult, wickBodyMin, requireTrendColor)   Parameters:      open (float)      high (float)      low (float)      close (float)      volume (float)      mintick (float)      avoidTinyBodies (bool)      lenVolMA (int)      volMult (float)      wickBodyMin (float)      requireTrendColor (bool)
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AGreatEscape tarafından