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Booker - Relative Volume SignalsBooker RVOL is a momentum breakout indicator designed to identify stocks experiencing unusual buying pressure during the regular trading session. The indicator looks for a very specific setup often seen in high-momentum small-cap stocks: * Trading between a user-defined price range (default: $1–$20) * Up significantly on the day (default: +30% or greater) * Trading with meaningful liquidity (default: 500,000+ shares) * Relative Volume (RVOL) above a minimum threshold (default: 4x normal volume) * Price trading above both VWAP and the 9 EMA * A breakout above the premarket high * A bullish “drop-and-pop” pattern, where a red candle is immediately followed by a breakout candle When all conditions align, the indicator generates an LB RVOL signal and marks the chart. Included Features * Relative Volume (RVOL) calculation * Premarket high tracking * VWAP and 9 EMA trend confirmation * Daily gain and volume filtering * Customizable price range filters * Entry markers and RVOL labels * Alert support for automated notifications Default Philosophy The default settings are optimized for identifying explosive small-cap momentum stocks that are: * Gapping higher * Trading heavy volume * Holding above key intraday support levels * Breaking through important resistance levels Rather than generating frequent signals, LB RVOL focuses on finding rare, high-conviction momentum setups where multiple bullish factors are aligned at the same time. Signal Interpretation A signal does not guarantee a successful trade. Instead, it highlights a stock exhibiting: 1. Exceptional relative volume 2. Strong intraday trend structure 3. A breakout above premarket resistance 4. Evidence of continued buying pressure Many traders use these signals as a starting point for further analysis, including risk management, dilution risk assessment, chart pattern review, and broader market context. LB RVOL was built to help traders quickly identify stocks attracting institutional and speculative attention before significant intraday moves develop.
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của robbooker
BIST Fibonacci Retracement Scanner Automatically detects swing highs/lows, determines trend direction, and finds stocks currently sitting at key Fibonacci retracement levels — potential buy or sell zones. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📌 HOW IT WORKS 1. Detects significant swing points using pivot analysis 2. Determines trend: higher lows = uptrend, lower highs = downtrend 3. Calculates Fibonacci retracement levels between swing points 4. Flags stocks where price is near a Fib level (within configurable tolerance) • Uptrend pullback to Fib support → BUY zone • Downtrend bounce to Fib resistance → SELL/AVOID zone ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 SCREENER COLUMNS • SIGNAL — 1 when price is at a Fib level (use this to filter) • Trend — 1 = uptrend (buy zone), -1 = downtrend (sell zone) • Fib Level Hit — Which level triggered: 38.2%, 50%, or 61.8% • Dist from Fib — How close price is to the exact level • Retracement Depth — How deep the pullback is from the swing high • RSI / Volume — Extra confirmation data ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ SETTINGS • Swing Lookback: Pivot detection period (default: 20 bars) • Fib Levels: 0.382 / 0.5 / 0.618 — toggle each on/off • Tolerance: How close to Fib line to trigger (default: 2%) • Trend Filter: Uptrend only / Downtrend only / Both • Optional: RSI and Volume confirmation filters ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 BEST USED WITH Pine Screener → BIST watchlist → Filter SIGNAL = 1 → Sort by Fib Level or Retracement Depth ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own analysis before making trading decisions. Past performance does not guarantee future results.
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của ozkanabdullahoglu
ATR Volatility Strength Indicator# ATR Volatility Strength Indicator The ATR Volatility Strength Indicator is designed to measure the current market volatility relative to its recent average volatility. Instead of displaying raw ATR values, the indicator compares the current candle range against a longer-term ATR baseline and converts the result into an easy-to-read 7-level volatility scale. ## Key Features ### Relative Volatility Measurement Measures current price expansion by comparing the latest candle range to the average ATR. This helps traders quickly identify whether the market is: * Quiet * Normal * Trending * Expanding * Explosive ### 7 Volatility Levels The indicator automatically classifies volatility into seven categories: | Level | Description | | ----- | ------------------------ | | 0 | Extremely Low Volatility | | 1 | Low Volatility | | 2 | Normal | | 3 | Moderate Strength | | 4 | High Volatility | | 5 | Volatility Expansion | | 6 | Extreme Expansion | ### Color-Coded Histogram Each volatility level is displayed using a different color for quick visual interpretation: * Gray → Low activity * Green → Normal market conditions * Blue → Strong movement * Orange → Expansion phase * Red → Extreme volatility ### Extreme Volatility Highlight When volatility reaches the highest level, the background is automatically highlighted to help traders identify potential breakout or climax conditions. ## Practical Uses ### Trend Confirmation Strong trends are often accompanied by increasing volatility levels. ### Breakout Detection Rapid increases in volatility may indicate the beginning of a breakout phase. ### Range Market Identification Low volatility levels can help identify accumulation, consolidation, or ranging environments. ### Trade Filtering Can be used as a volatility filter to avoid trading during inactive market conditions. ## Suitable Markets * Forex * Gold (XAUUSD) * Indices * Stocks * Cryptocurrency ## Recommended Timeframes Compatible with all timeframes, from scalping to swing trading. ## Disclaimer This indicator measures volatility only and does not provide directional signals. It should be used alongside market structure, trend analysis, and proper risk management techniques.
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của AMD_Trader_Macu
XLY/XLP Equal-Weight RatioThe Equal-Weight Discretionary/Staples Ratio measures the ratio between two equal-weighted ETFs from Invesco: the S&P 500 Equal Weight Consumer Discretionary ETF (RSPD) and the S&P 500 Equal Weight Consumer Staples ETF (RSPS). It is the equal-weighted counterpart to the well-known XLY/XLP ratio, which measures the same two sectors using the cap-weighted SPDR funds Consumer Discretionary Select Sector SPDR Fund (XLY) and Consumer Staples Select Sector SPDR Fund (XLP). This ratio is used by traders and investors as a measure of the relative strength of the consumer discretionary sector versus the consumer staples sector. Why equal-weighted (RSPD/RSPS) instead of cap-weighted (XLY/XLP)? In the standard cap-weighted XLY, a handful of mega-cap names dominate the fund — most notably Tesla and Amazon, which together can account for a very large share of XLY's value. As a result, the cap-weighted XLY/XLP ratio often tells you more about the price action of those few heavyweights than about the broad consumer discretionary sector. By using the equal-weighted RSPD and RSPS, every company in each sector contributes roughly the same weight. This removes the distortion from individual giants like Tesla and produces a cleaner, broader read on the underlying breadth of consumer behavior — i.e., how the average discretionary company is doing relative to the average staples company, rather than how Tesla is doing. This makes the equal-weighted ratio a more representative gauge of true risk-on/risk-off sentiment across the consumer economy. A higher ratio indicates that consumer confidence is higher and people are more willing to spend their money on non-essential items, such as entertainment or luxury goods (discretionary spending). A lower ratio, on the other hand, indicates that consumer confidence is lower and people are gravitating toward essential items like food and household goods (staple spending). The interpretation of the ratio depends on the current market situation and the analysis of the economic and political factors that may influence consumption. If the ratio rises, it could be an indication of a growing economy and increasing consumer sentiment. However, if it falls, it could be an indication of a weakening economy or declining consumer confidence. It is important to note that this indicator should not be used as the sole basis for making trading decisions. It is advisable to also consider other indicators, such as technical and fundamental analysis, before making a decision.
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của MasterOfDesaster
1
Swing TP/SL UltimateSwing TP/SL Ultimate TradingView Pine Script v6 — Overlay Indicator Short title: TP/SL▲▼  |  Version: 2.0  |  Type: Overlay Indicator Overview Swing TP/SL Ultimate is an advanced Take Profit and Stop Loss analysis tool for TradingView. Instead of requiring you to manually set fixed TP/SL percentages, it automatically calculates statistically-derived average TP and SL distances by studying every confirmed Swing High and Swing Low in historical price data across multiple timeframes and pivot lengths. The core idea: the market's own past behaviour tells you how far it typically moves up (TP) and down (SL) from any given point. This indicator collects hundreds of those data points, filters out outliers, and surfaces the most reliable average — displayed as both a percentage and an actual price level on your chart. Key Features Multi-length Pivot DetectionSimultaneously scans 3 configurable pivot lengths (Fast / Mid / Slow) to maximise the number of valid swing samples Multi-TimeFrame (HTF) PivotsImports pivots from a Higher TimeFrame and merges them into the same statistical buffer 4 Averaging MethodsSimple, EMA-Weighted, Trimmed Mean, and Blended — all computed in parallel Per-Bar ATR-Style AverageUses every bar's high−open and open−low as additional TP/SL samples for maximum data density KNN High/Low PredictionA K-Nearest Neighbours model predicts the likely High and Low over the next 5 bars using 10 market features Buy / Sell SignalsFires when price reaches a confirmed swing extreme, RSI confirms, and optional volume confirmation passes Scalable DashboardFour size presets (Tiny / Small / Medium / Large) with compact mode for minimal screen space Dual-format ValuesEvery metric is shown as both % and actual price — e.g. 2.34% (48,250.00) Opaque Line LabelsLabels sit directly on chart lines with solid dark backgrounds so they block the line rather than overlap it How It Works 1. Pivot Collection A Swing High is a bar whose high is the highest of the N bars before it and the N bars after it. TradingView confirms this N bars after the fact. The indicator runs this detection three times simultaneously with different lengths: Fast pivot (default N=5) — captures minor swings, many samples Mid pivot (default N=10) — captures medium swings Slow pivot (default N=21) — captures major swings, fewer but stronger signals HTF pivot (default N=10 on 60m) — imported from higher timeframe Every confirmed pivot feeds into a unified rolling array buffer shared by all four sources. 2. Percentage Calculation For each confirmed Swing High pivot: TP% sample = (pivotHigh − confirmClose) / confirmClose × 100 For each confirmed Swing Low pivot: SL% sample = (confirmClose − pivotLow) / confirmClose × 100 Only positive values are stored. The buffer is capped at Rolling Buffer Size entries — when full, the oldest sample is dropped (FIFO), keeping the average adaptive to the current market regime. 3. Averaging Methods All four methods run simultaneously. You choose which one drives the final Suggested TP/SL prices: Simple Average The arithmetic mean of all samples in the rolling buffer. Straightforward and transparent. EMA-Weighted Average A running Exponential Moving Average applied to each new pivot sample as it arrives. Recent pivots are weighted more heavily than older ones, making this method more responsive to regime changes. α = 2 / (EMA Period + 1) emaTP = emaTP × (1 − α) + newSample × α Trimmed Mean (default) Sorts all buffer samples and removes the top and bottom N% before computing the mean. This eliminates the influence of extreme outlier swings (e.g. a flash crash or a parabolic spike) that would otherwise skew the average. Default trim: 10% → removes top 10% and bottom 10% of samples Blended Averages the Trimmed Mean result with the Per-Bar ATR-style result. Combines the statistical robustness of pivot-based sampling with the high data density of per-bar measurement. 4. Per-Bar ATR-Style Sampling In addition to pivot-based samples, every single bar contributes: barTP% = (high − open) / open × 100 ← upside potential per bar barSL% = (open − low) / open × 100 ← downside risk per bar An EMA is applied to both series. This gives the indicator a very high sample count (one per bar vs. one per pivot event) and closely mirrors the concept of Average True Range expressed directionally as a percentage. KNN Prediction The indicator includes a K-Nearest Neighbours (KNN) machine learning model that predicts how far price is likely to move up and down over the next 5 bars. Feature Vector (10 dimensions) #FeatureWhat it captures0RSI (14)Momentum / overbought / oversold1Distance from EMA-50 %Trend deviation2ATR (14) as % of priceVolatility regime3Bollinger Band position %Price within range4Volume vs. 20-bar SMA %Volume spike detection5Candle body size %Bar strength6Upper wick %Rejection at highs7Lower wick %Rejection at lows8Momentum (10-bar) %Short-term trend force9Close position in 20-bar range %Range context Algorithm For every bar in the training window (up to 200 bars back, sampled every 2 bars for performance), compute the Euclidean distance between the current bar's feature vector and that historical bar's feature vector. Select the K nearest historical bars (default K=5). For each neighbour, look up what actually happened over the next 5 bars: how high did price go, how low did it go. Weight each neighbour by inverse distance — closer matches contribute more. The weighted average of future highs and lows becomes the KNN prediction. The result is plotted as a dotted forward line on the chart and shown in the dashboard. Buy / Sell Signals Signals fire only when all conditions are simultaneously true. Buy Signal (▲ BUY — green label below bar) ConditionLogicNear Swing Lowclose ≤ lastSwingLow × (1 + avgSL% × 0.5)RSI OversoldRSI ≤ Oversold threshold (default 35)Bullish candleclose > openVolume (optional)volume > 20-bar SMA × 1.2 Sell Signal (▼ SELL — red label above bar) ConditionLogicNear Swing Highclose ≥ lastSwingHigh × (1 − avgTP% × 0.5)RSI OverboughtRSI ≥ Overbought threshold (default 65)Bearish candleclose < openVolume (optional)volume > 20-bar SMA × 1.2 Note: Signals are contextual alerts, not a complete trading system. Always combine with your own analysis and risk management. Dashboard The on-chart table updates on every bar. Its size, position, and content depth are all configurable. Size Presets SizeTextRows shownTinytinyCore only (compact)SmallsmallCore + method breakdownMediumnormalCore + breakdown + range statsLargelargeFull: all above + KNN + signal state + HTF status Dashboard Sections Always visible RowLabelDescriptionTitle⬡ TP / SL ULTIMATEActive method + sample countsLive▲ To Swing HIGH% and price distance to last pivot highLive▼ To Swing LOW% and price distance to last pivot lowAvg★ Avg TP (Final)Final averaged TP as % and suggested priceAvg★ Avg SL (Final)Final averaged SL as % and suggested priceAvg⚖ R:R RatioavgTP ÷ avgSL — green ≥2.0, yellow ≥1.0, red <1.0 Small and above RowLabelDescriptionBreakdownSimple / EMA-Weighted / Trimmed / Per-BarTP% / SL% for each method side by side Medium and above RowLabelDescriptionRangeAvg High %Mean upside from all pivot samplesRangeMax / Min High %Best and worst upside seen in bufferRangeAvg Low %Mean downside from all pivot samplesRangeMax Low %Worst downside seen in buffer Large only RowLabelDescriptionKNNKNN Pred High +%Predicted upside over next 5 bars (% + price)KNNKNN Pred Low −%Predicted downside over next 5 bars (% + price)SignalRSICurrent RSI value, colour-codedSignalVolume vs SMACurrent volume as % of 20-bar SMASignalActive SignalBUY / SELL / WaitingInfoHTF PivotsWhether HTF pivot collection is active Chart Visuals ElementColourDescriptionDashed green lineGreenLast confirmed Swing High levelDashed red lineRedLast confirmed Swing Low levelSolid teal lineTealAvg TP suggested priceSolid orange lineOrangeAvg SL suggested priceDotted purple linePurpleKNN predicted High (forward projection)Dotted fuchsia lineFuchsiaKNN predicted Low (forward projection)▼ triangle above barRedConfirmed pivot high marker▲ triangle below barLimeConfirmed pivot low markerBUY labelLimeBuy signal — all conditions metSELL labelRedSell signal — all conditions met All lines carry opaque labels (solid dark background matching the line colour) placed directly on the line so the text is legible without the line running through it. Input Reference 📐 Pivot Detection InputDefaultRangeDescriptionPivot Length 1 – Fast52–50Left/right bars to confirm a fast swingPivot Length 2 – Mid102–100Left/right bars for mid-grade swingPivot Length 3 – Slow212–200Left/right bars for slow/major swingRolling Buffer Size15020–500Max samples kept per side (TP / SL)Outlier Trim %100–40% of extremes removed from trimmed meanEMA Weight Period142–100Smoothing for EMA-weighted averagePer-Bar EMA Length20010–1000EMA length for per-bar ATR-style average 🌐 Multi-TimeFrame InputDefaultDescriptionEnable HTF PivotsOnAdds higher-timeframe pivots to the bufferHigher TimeFrame60 (1H)Source timeframe for HTF pivotsHTF Pivot Length10Pivot detection length on the higher timeframe 🤖 KNN Prediction InputDefaultRangeDescriptionEnable KNNOn—Toggle the KNN engine on/offK Neighbours53–15Number of nearest matches to useKNN Training Window10030–200How many bars back to search 📊 Averaging InputDefaultOptionsDescriptionPrimary Pivot MethodTrimmed MeanSimple / EMA Weighted / Trimmed Mean / BlendedWhich pivot average drives the final outputSample SourceBlendedPivot Only / Per-Bar Only / BlendedWhat data feeds the final TP/SL 🎯 Signals InputDefaultDescriptionShow Buy/Sell SignalsOnMaster toggle for signal markersRSI Length14Period for RSI calculationRSI Oversold – Buy35RSI threshold to confirm a buyRSI Overbought – Sell65RSI threshold to confirm a sellVolume ConfirmationOnRequire volume > 1.2× SMA to trigger 🖥 Dashboard InputDefaultOptionsDescriptionPositionTop RightTop/Bottom × Left/RightCorner placement of the tableDashboard SizeMediumTiny / Small / Medium / LargeControls text size and row countUltra-Compact ModeOff—Shows only title + 6 core rows 🎨 Visuals InputDefaultDescriptionShow Pivot Level LinesOnDashed lines at last Swing High / LowShow Avg TP/SL LinesOnSolid lines at suggested TP and SL pricesShow KNN Predicted LinesOnDotted forward lines from KNN modelShow Pivot MarkersOnTriangles at confirmed pivot barsShow Line LabelsOnOpaque labels on all chart lines Recommended Settings by Use Case Scalping (1m – 5m charts) Pivot Length 1: 3 Pivot Length 2: 5 Pivot Length 3: 10 HTF Timeframe: 15 Buffer Size: 100 EMA Period: 7 Per-Bar EMA: 50 Primary: EMA Weighted Source: Blended RSI Oversold: 30 RSI Overbought: 70 Swing Trading (1H – 4H charts) Pivot Length 1: 5 Pivot Length 2: 10 Pivot Length 3: 21 HTF Timeframe: D Buffer Size: 150 EMA Period: 14 Per-Bar EMA: 200 Primary: Trimmed Mean Source: Blended RSI Oversold: 35 RSI Overbought: 65 Position Trading (Daily – Weekly charts) Pivot Length 1: 10 Pivot Length 2: 20 Pivot Length 3: 50 HTF Timeframe: W Buffer Size: 200 EMA Period: 21 Per-Bar EMA: 500 Primary: Simple Source: Pivot Only RSI Oversold: 40 RSI Overbought: 60 Technical Notes Pine Script version: v6 Type: indicator() with overlay=true Max lines: 20  |  Max labels: 50 MTF data: Uses barmerge.lookahead_off to prevent future-leak KNN performance: Samples every 2nd bar in the training window; hard-capped at 200 bars to stay within Pine's execution time limits Global scope rule: All plotshape() calls and var mutations are placed at the global scope as required by Pine Script v6 Changelog VersionDateChanges1.0InitialBasic pivot avg + dashboard2.0CurrentKNN engine, MTF pivots, 4 avg methods, buy/sell signals, 4 dashboard sizes, opaque line labels, full Pine v6 scope compliance Built for TradingView Pine Script v6. For educational and analytical purposes only — not financial advice.
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của iiwn
Cyclical Peak Macro Composite█ OVERVIEW Cyclical Peak Macro Composite is a macro and valuation signal panel that tracks a set of independent conditions historically associated with late-cycle equity market peaks and reports the share of them that are currently active. It plots in a separate pane as a single column series, % Triggered , the percent of counting signals that meet their trigger condition, alongside a status table that summarizes each individual signal. In one sentence: when a majority of independent macro, credit, and valuation conditions seen near prior market peaks are simultaneously active, the late-cycle environment is more elevated than when few of them are. █ HISTORY / BACKGROUND The practice of monitoring a fixed panel of macro, valuation, credit, and sentiment signposts for equity market peaks comes from sell-side equity strategy research, which publishes periodic checklists scoring how many of a set of conditions are active relative to prior peaks. This script implements only the subset of such a checklist whose inputs exist as data on TradingView, substitutes documented proxies where the original series are proprietary, and omits the signals that have no public feed and no faithful proxy rather than approximating them with unrelated data. The component methods have established lineage: • Term spread. The difference between a long and a short Treasury yield is a standard cycle reference. A negative 10Y minus 2Y spread, an inverted curve, has been present ahead of prior downturns. • Rule of 20. A long standing market heuristic that sums the trailing price to earnings ratio and the year over year inflation rate, treating a value near 20 as a fair value reference and higher readings as richer valuation. • High yield option adjusted spread. The ICE BofA US High Yield index OAS, distributed through FRED, is a widely used gauge of credit risk pricing. Unusually tight spreads are read here as complacency, not stress. • Senior Loan Officer Opinion Survey (SLOOS). The Federal Reserve survey of bank lending standards. A positive net reading indicates tightening credit availability. • Consumer sentiment. The University of Michigan survey, used as an optional proxy for a different consumer confidence series in the original checklist. The conceptual basis is that these conditions tend to cluster near cyclical peaks, so counting how many are active gives a coarse read on where the cycle sits. The specific composite arrangement is third party research; this script is an independent reconstruction of its available subset. █ HOW IT WORKS The script reads external macro series through request.security and does not use the chart symbol's price in any calculation, so its output is identical on any chart and depends only on the chart timeframe. Every lookback is specified in months and converted to a bar count for the active resolution by round(months times seconds per month divided by seconds per bar), clamped between 1 and 5000 bars, so each window holds its intended calendar duration across resolutions. It evaluates up to six signals: • Yield curve inversion. Requests the 10Y and 2Y yield symbols at the chart timeframe and takes their spread. Active if the spread was below zero at any point within the latch window, tested with a rolling maximum of the inverted condition. • Credit complacency. Requests the high yield OAS series. Active if the spread was below the tight spread threshold at any point within the latch window. The direction is deliberate: a low spread is the peak signal. • Rule of 20. Computes the year over year change of monthly CPI and adds it to a trailing P/E value, which is a manual input by default or a symbol sourced value if enabled. It then takes a rolling z-score of that sum over the z-score lookback and is active when the z-score exceeds its trigger. • Value versus growth. Requests a value proxy and a growth proxy at the chart timeframe and computes the difference of their returns over the return window, in percentage points. Active when the value proxy trails the growth proxy by more than the underperformance trigger. • SLOOS net tightening. Requests the SLOOS series at a quarterly resolution. Active when the net reading is above zero. Counts only when included and when its data resolves. • Consumer sentiment (optional). Takes a rolling z-score of the sentiment series over the z-score lookback and is active when it exceeds the sentiment trigger. Counts only when enabled and when its data resolves. The denominator is dynamic. Four core signals always count, plus SLOOS when active, plus sentiment when active. % Triggered is 100 times the number of active triggers divided by the number of counting signals. Any series whose data does not resolve returns na and is excluded from both numerator and denominator rather than scored as off. █ HOW TO USE Add the script to any chart. The chart symbol is irrelevant because all inputs are requested macro series. Read the column height as the percent of counting signals currently triggered. The dashed line marks the composite alert threshold and the dotted line marks the 50 percent midline. The column is gray below 50, orange at or above 50, and red at or above the alert threshold. The status table in the top right lists each signal with a state of ON, off, or n/a. ON is shown in red because in this context an active signal is a late-cycle condition rather than a healthy one, off is green, and n/a means the signal is disabled or its data did not resolve and it is not counting. The header cell repeats the current percent. Recommended timeframe: the script is built for the daily resolution and higher, and is cleanest on monthly. CPI, SLOOS, and sentiment are requested at monthly or quarterly resolution and mapped onto the chart's bars, so on a monthly chart one bar corresponds to one source observation and the z-score statistics are exact. On intraday resolutions the month to bar conversion saturates at the 5000 bar clamp and the windows no longer span the intended number of months, so intraday use is not advised. The diagnostic series, namely the spread, the OAS, the Rule of 20 level and z-score, the SLOOS reading, the value minus growth return, and the sentiment z-score, are not drawn on the pane. They are available in the Data Window for inspection. █ SETTINGS Yield Curve • 10Y yield symbol: long rate symbol for the term spread. Default US10Y. • 2Y yield symbol: short rate symbol. Default US02Y. Credit (HY OAS complacency) • HY OAS symbol: the high yield option adjusted spread series. Default FRED:BAMLH0A0HYM2. • Tight spread threshold (%): the level below which the spread is treated as complacent. Default 3.5. Rule of 20 (P/E + CPI YoY) • Trailing S&P 500 P/E: the manual trailing P/E used when the symbol feed is off. Default 22. • Feed P/E from a symbol: when on, sources the P/E from a symbol instead of the manual value. Default off. • P/E symbol (trailing): the symbol used when the feed is enabled. Default SP:SPX. • Z-score lookback (months): the window for the Rule of 20 and sentiment z-scores. Default 120, minimum 12. • Z-score trigger (>): the Rule of 20 z-score level that activates the signal. Default 1. Value / Growth (low-PE vs high-PE proxy) • Value proxy symbol: the value style proxy. Default AMEX:SPYV. • Growth proxy symbol: the growth style proxy. Default AMEX:SPYG. • Return window (months): lookback for the relative return. Default 6, minimum 1. • Underperformance trigger (pp): how far the value proxy must trail the growth proxy to activate. Default 2.5. SLOOS (bank lending) • Include SLOOS: whether the SLOOS signal counts. Default on. • SLOOS net tightening symbol: the lending standards series. Default FRED:DRTSCILM. Consumer sentiment (optional, low fidelity) • Include sentiment proxy: whether the sentiment signal counts. Default off. • Sentiment symbol: the sentiment series. Default FRED:UMCSENT. • Sentiment z-score trigger (>): the z-score level that activates the signal. Default 1. Composite • Latch window for prior signals (months): the lookback over which the yield curve and credit signals count as active if their condition occurred at any point inside it. Default 6, minimum 1. • Composite alert threshold (%): the percent at which the alert condition and red coloring engage. Default 70. █ WHAT MAKES IT ORIGINAL This is not a wrapper around other indicators and reuses no third party signal code. It computes each condition directly from primary macro and valuation series and combines them with three specific design choices: • Honest scope. It implements only the checklist signals that have real TradingView data, omits the proprietary and unavailable ones outright, and labels the two proxies it uses as proxies. The value and growth style spread stands in for a low P/E versus high P/E basket, and the optional University of Michigan z-score stands in for a different consumer confidence index. The percent reading is therefore not comparable to the source checklist's percent, which is computed over a larger set of signals. • Deliberate credit direction. The credit signal fires on tight spreads, not wide ones, because the underlying idea is complacency near a peak rather than stress. This inverts the intuitive reading and is stated rather than hidden. • Calendar anchored windows and graceful degradation. Every lookback is expressed in months and converted to bars for the current resolution, so latch and z-score windows keep their duration across timeframes, and any series that fails to resolve drops out of the denominator instead of being scored as off. █ NOTES / LIMITATIONS • Symbol independent. The composite ignores the chart symbol entirely. Every input is requested through request.security , so changing the chart instrument does not change the output. Only the chart timeframe matters. • Timeframe sensitivity. Built for daily and higher, best on monthly. On intraday resolutions the month to bar conversion is clamped at 5000 bars and the windows no longer span the intended months, so the latch and z-score logic are not valid intraday. • Data availability. The macro series depend on TradingView's data catalog and on your data access. SLOOS is quarterly, heavily lagged, and may not resolve in the FRED catalog. The OAS, CPI, and sentiment series are likewise subject to availability. Unresolved series return na and are excluded. The value and growth proxy symbols use an exchange prefix that may need changing to match your data. • Insufficient history. The z-scores require their full lookback of observations before they return a value. Until then the Rule of 20 and sentiment signals are na and do not count. The value versus growth signal requires history at least as long as its return window on both proxies, otherwise it returns na. • Economic data revisions. CPI, SLOOS, and sentiment are released with a lag and can be revised, so the most recent readings may change as the source updates. No bar level lookahead is used. The requests run with default settings and the latch references only historical values. • Static manual P/E. If the trailing P/E is left as a manual constant, the Rule of 20 z-score reduces to a z-score of inflation plus a constant, since the only varying term is CPI. Enabling a symbol sourced trailing P/E restores the intended behavior. • Correlated signals. These macro and valuation conditions tend to move together late in a cycle, so the percent reading reflects fewer independent pieces of information than the raw signal count suggests.
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của BY_Tse
ICT Venom Core - Simple NY SetupICT Venom Core - Simple NY Setup This indicator is designed to simplify the ICT Venom trading model by focusing only on the most important New York session levels. Features: • Marks the 8:00 AM, 9:30 AM, and 11:30 AM New York session times. • Automatically tracks the High and Low of the 8:00–9:30 AM range. • Extends the range High and Low levels until 11:30 AM. • Identifies Balance Price Range (BPR) opportunities during the 9:30–11:30 AM trading window. • Optimized for 1-minute, 3-minute, and 5-minute charts. • Clean and lightweight design with no unnecessary signals or distractions. This tool is intended to help traders focus on key liquidity levels and BPR-based setups during the New York morning session.
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của Anonymous-trader786
Selling Volume Spike Alert [Ale]VS Alert — Selling Volume Spike Alert This is the mirror image: it watches for unusually large bursts of selling volume. It uses the same structure but flips the subject. It defines a bearish bar as close < open and treats that bar's volume as selling volume. In its pane the selling volume points up (red columns) as the protagonist, with buying volume pointing down (teal). The same 20-period volume MA is the baseline. The spike math is identical — selling volume divided by the average gives the spike ratio, tagged ALTO at 2x and EXTREMO at 3x, with the same threshold lines and shaded band. Spikes recolor the bar, drop a 💧 or 🔻 label at the top, and tint the background. The info table (top-right) mirrors the buying version: current volume, MA, spike ratio, delta, and state. Alerts and alertcondition() hooks fire on high/extreme selling volume, with distinct names so they don't collide with the buying indicator's alerts. The read here is the opposite: big selling spike = potential bearish pressure / distribution or de-risking. How to read them together: an extreme spike on BVS with nothing on SVS is clean buying; the reverse is clean selling pressure; simultaneous spikes on both panes suggest a climax or absorption event — worth caution since those often precede reversals.
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của spawnsaber
Smart Market Dashboard PRO Gap Trader EditionA comprehensive intraday dashboard designed specifically for Borsa Istanbul (BIST) equity traders. This indicator focuses on opening gap analysis, combining volume, delta, and price action to help traders make informed decisions at market open. Key Features: Gap Detection & Classification – Automatically identifies and labels opening gaps (Full Gap Up/Down, Partial Gap Up/Down) with configurable minimum gap % threshold Volume & Delta Analysis – Displays real-time cumulative delta, buy/sell volume ratio, and VWAP deviation Multi-Timeframe Data – Fetches previous day’s OHLCV data to calculate gap reference levels accurately Visual Dashboard – A clean on-chart table showing key metrics: gap size, volume trend, delta direction, and gap fill probability Smart Alerts – Configurable alerts for gap setups, gap fill events, and volume anomalies How It Works: Gap levels are calculated using End-of-Day (previous session close) as the reference price All calculations are based on confirmed bar data (barmerge.lookahead_off) to prevent repainting on historical bars Recommended Usage: Timeframe: 1–15 minute charts Market: BIST stocks (optimized for Turkish market open at 10:00 AM) Works best during the first 30–60 minutes of the trading session Disclaimer: This indicator is for educational and informational purposes only. It does not constitute financial advice. Always manage your risk accordingly. Note: As with all intraday indicators, values may update within the current live bar until it closes
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của shadi1982iphone
Delta Volume Profile ProDelta Volume Profile Pro is a volume profile indicator built upon the quadrant structure originally introduced by BigBeluga in the Quadro Volume Profile script. Full credit for the original concept and core logic goes to BigBeluga. 🔍 What it does This indicator divides the visible price range into four quadrants relative to the current price and distributes volume across price bins, revealing where the most significant buying and selling activity has occurred above and below the market. Each quadrant displays: Upper Sell Quad — sell volume concentrated above the current price Upper Buy Quad — buy volume concentrated above the current price Lower Buy Quad — buy volume concentrated below the current price Lower Sell Quad — sell volume concentrated below the current price A Point of Control (PoC) dashed line marks the price bin with the highest volume in each quadrant. Four percentage labels at the current price level show how total volume is distributed across all quadrants, allowing traders to quickly assess the balance between buying and selling pressure on both sides of the market. ⚙️ Original additions over BigBeluga's base 1. Proxy Volume Engine — works on any broker Many brokers and CFD platforms do not provide usable native volume data. This indicator includes an internal map of 80+ symbols to their most liquid equivalents: Forex pairs → (tick volume, CFD-compatible scale) Metals (Gold, Silver, Platinum) Crypto (BTC, ETH, etc.) Oil, Gas → Indices & Futures The proxy is fetched automatically via request.security. You do not need to change any settings when switching between brokers — the indicator detects the symbol and loads the appropriate volume source. 2. Proxy-First Priority Unlike a simple fallback system, this indicator uses the proxy as the primary volume source for all mapped symbols. This guarantees consistent, real volume data regardless of the broker you are charting on — whether EasyMarkets, FXCM, or any CFD provider. The native volume is only used if the proxy fails or if you explicitly enable "Force Native Volume" in settings. 3. Daily Session Mode When enabled, the profile anchors to the start of the current daily session and resets automatically at each new day — useful for intraday traders who want to see only today's volume distribution. 4. Daily VWAP Anchor An optional Volume Weighted Average Price line anchored to the daily session open, calculated using the same proxy volume logic as the profile for accuracy across all brokers. 📐 How to read the indicator Profile bars (left and right of the vertical axis): Left side bars = dominant directional volume per price bin Right side bars = opposing volume per price bin Deeper color = higher volume concentration at that price level Longer bars = more activity at that price — key support/resistance zones The four labels at current price: SELL% | BUY% SELL | BUY ──────────────────── ← current price BUY% | BUY% BUY | SELL Upper left (SELL%) — percentage of total volume that was selling above current price Upper right (BUY%) — percentage of total volume that was buying above current price Lower left (BUY%) — percentage of total volume that was buying below current price Lower right (SELL%) — percentage of total volume that was selling below current price Point of Control (PoC) — dashed line: Marks the single price level with the highest volume in each quadrant Strong reference for support and resistance 📊 How to interpret the percentages Example from chart — USDCAD 15M: Upper: SELL 2.90% | BUY 3.75% Lower: BUY 51.79% | SELL 41.57% Reading: 51.79% of all volume below price was buying → strong buy accumulation below 41.57% of all volume below price was selling → significant sell pressure also present Only 2.90% + 3.75% above price → very little activity above current price Interpretation: price is near the top of the range with most activity below General rules: Large BUY% below + small SELL% above → bullish bias, buyers in control Large SELL% above + small BUY% below → bearish bias, sellers in control Balanced percentages on both sides → price in equilibrium, expect breakout PoC line in lower quad with high BUY volume → strong support level PoC line in upper quad with high SELL volume → strong resistance level ⚠️ Important notes This indicator is a visual analysis tool. It does not generate buy or sell signals. Past volume distribution does not guarantee future price behavior. The proxy volume reflects tick volume from the mapped exchange, not actual traded notional value. On weekends or when markets are closed, volume may be incomplete, affecting the profile. ⚙️ Settings reference ParameterDefaultDescriptionUse Daily Session ModeOFFON: resets profile each day. OFF: fixed lookbackLookback Period200Bars used when Session Mode is OFFForce Native VolumeOFFON: uses chart's native volume instead of proxyPrice Bins60Number of horizontal price levelsProfile Offset60Distance from last bar (in bars)Upper/Lower QuadsONShow/hide each profile sectionPoCON/OFFShow/hide Point of Control per quadrantShow Daily VWAPONPlots the session VWAP lineBuy ColorGreenProfile buy side colorSell ColorRedProfile sell side colorVWAP ColorWhiteVWAP line color 🙏 Credits Original quadrant volume profile concept and core structure: BigBeluga — Quadro Volume Profile www.tradingview.com Released under Mozilla Public License 2.0 mozilla.org
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của fabricionicolauxx
4
Gabremoku CloudsGabremoku Clouds is a volume-driven equilibrium cloud built to highlight fair-value zones, directional acceptance, and compression/expansion phases in a cleaner and more forward-looking way than traditional cloud indicators. Instead of using classic Ichimoku spans or standard deviation bands, this script builds its structure around a custom volume-weighted equilibrium line and a surrounding cloud whose width is based on Volume-Weighted Average Spread (VWAS). The result is a cloud that reacts not only to price movement, but also to how price is distributed under volume, making it useful for reading consensus, imbalance, and market acceptance. A key idea behind this indicator is that not all price movement has the same meaning. When volume concentrates inside a tighter range, the cloud compresses and signals balance or consensus. When price expands with broader spread and weaker concentration, the cloud widens and reflects uncertainty or directional transition. This gives the indicator a different purpose from standard volatility envelopes: it is designed less as a generic overbought/oversold tool and more as a market structure and equilibrium map. The script also includes a 26-period forward projection of the equilibrium cloud. This projected area is calculated from current and historical information only, then shifted forward visually to provide a future reference zone without using lookahead logic. Its purpose is not to predict price in an absolute sense, but to suggest where balance may migrate next if the current slope and cloud conditions remain consistent. What it helps identify Trend acceptance when price holds above or below the cloud with supporting volume. Fair-value reclaims when price rotates back into equilibrium after displacement. Squeeze-to-expansion transitions when the cloud compresses and then releases into directional movement. Exhaustion when price reaches a fresh extreme while volume momentum decelerates. How to use it Use the current cloud to judge whether price is trading in balance, in directional acceptance, or in transition. Use the projected cloud as a forward reference area for continuation, reversion, or future balance. Treat the signals as contextual tools, not standalone trade instructions. They work best when combined with price structure, market context, and risk management. What is new Gabremoku Clouds is not a mashup of existing tools. Its core logic is built around a custom equilibrium model that combines volume-weighted price location with volume-weighted spread behavior, then extends that structure into a forward cloud projection. The goal is to give traders a more informative cloud: one that reflects where value is forming now, how stable that value is, and where it may shift next.
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của Gabremoku
Strat SniperStrat Sniper is a multi-timeframe continuity indicator designed to help traders identify high-probability Strat opportunities while eliminating lower-quality setups. Instead of signaling every Strat pattern, this indicator filters setups using higher-timeframe continuity to focus on the trades that align with broader market direction. The result is a cleaner chart, fewer false signals, and greater confidence in execution. Features Dynamic Timeframe Selection Analyze Strat setups on any timeframe. * Leave Execution TF blank to use the current chart timeframe. * Select a specific timeframe to scan setups independently from the chart. Examples: * Trade 5-minute entries using 1-hour setups * Trade 15-minute entries using 4-hour setups * Scan Daily setups while viewing intraday charts Supported Strat Patterns Bullish: * 2-1-2 Reversal * 3-1-2 Continuation * 2-2 Reversal Bearish: * 2-1-2 Reversal * 3-1-2 Continuation * 2-2 Reversal ## Disclaimer This indicator is for educational purposes only and does not provide financial advice. All trading involves risk. Always use proper risk management and perform your own analysis before entering any trade.
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của StickTalkDunny
Signal Probability tgambinoxHere's a clean description ready to paste into TradingView when publishing: Title: Signal Probability • EMA + RSI + MACD + VWAP — tgambinox Description: This indicator scores the probability of a successful LONG or SHORT entry in real time by evaluating four technical conditions simultaneously, each worth 25 points for a maximum score of 100%. The four conditions: C1 · EMA 9/21 — Trend direction. EMA 9 above EMA 21 confirms bullish momentum; below confirms bearish. C2 · RSI (14) — Filters overbought/oversold extremes. Optimal zone is 40–60 to avoid chasing extended moves. C3 · MACD (12,26,9) — Momentum confirmation. A bullish crossover validates LONG entries; bearish crossover validates SHORT. C4 · VWAP + Volume — Price must be above (LONG) or below (SHORT) the daily VWAP, backed by above-average volume. Signal levels: 🟢 ≥ 90% — Strong signal, all conditions aligned. Triangle marker on chart. 🟡 ≥ 65% — Moderate signal, 3 of 4 conditions met. Label only. Below 65% — No signal. Wait for better alignment.
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của tgambinox
O'Neil Climax Top Detector█ OVERVIEW O'Neil Climax Top Detector plots the percentage distance of a price source from its simple moving average in a separate pane and flags the bars where three conditions associated with a climax top occur together: the price is extended into an upper band, it has run up rapidly over a short window, and the bar carries record volume. The histogram measures extension; the flag identifies where extension, runup, and volume coincide. █ HISTORY / BACKGROUND The components are drawn from William J. O'Neil's discussion of climax (blow-off) tops in How to Make Money in Stocks . O'Neil described a stock trading 70% to 100% or more above its 200-day moving average line (4th edition, page 264), a rapid price runup over roughly two to three weeks, and heavy volume on the advance as markers of a late-stage move. O'Neil presented these as qualitative, infrequently decisive sell pointers for individual growth leaders on the daily chart, not as a mechanical signal. This script operationalizes that description as a single bar-level test. █ HOW IT WORKS On the chart timeframe the script computes, for each bar: - The distance from the average: the simple moving average of the source over SMA Length , then percentage distance as (source minus average) divided by average, times 100. This is the histogram. - The extension condition: the distance is at or above the lower band. In fixed mode the band is the Fixed lower / upper band inputs (70 and 100). In adaptive mode the band is the symbol's own mean distance plus a number of standard deviations ( Adaptive lower / upper ) over Adaptive lookback . - The runup condition: the source's percentage gain over Runup lookback bars is at or above Min runup over lookback . - The volume condition: the bar's volume is a new high over Volume record lookback bars. When Require record-volume condition is off, this term is dropped. A climax bar is the conjunction of all active conditions: climax = extCond and runCond and volTerm Climax bars are recolored on the histogram and marked with a vertical line spanning the pane. Two alert conditions are exposed: one for the full climax conjunction, one for the distance reaching the lower band. █ HOW TO USE Apply on the daily chart, the resolution on which O'Neil's band and runup window are defined. Read the histogram as the degree of extension above or below the average: bars above zero trade above the average, bars below zero trade below it. The lower and upper band lines bound the extension zone. A recolored bar with a vertical line marks where extension, runup, and volume align on the same bar. Treat a flag as a candidate for review of a late-stage move, not as an instruction. █ SETTINGS - Source : series used for the average and the distance. Default close. - SMA Length : period of the simple moving average. Default 200. - Extension band mode : fixed O'Neil 70/100 band, or per-symbol adaptive band. Default fixed. - Fixed lower / upper band : the band in fixed mode. Defaults 70 and 100. - Adaptive lookback : window for the adaptive band statistics. Default 504. - Adaptive lower / upper : standard deviations above the mean distance defining the adaptive band. Defaults 2.0 and 3.0. - Runup lookback : bars over which the runup is measured. Default 10. - Min runup over lookback : minimum percentage gain to satisfy the runup. Default 25. - Require record-volume condition : include the volume term. Default on. - Volume record lookback : window over which the bar's volume must be the highest. Default 50. █ WHAT MAKES IT ORIGINAL A plain distance-from-moving-average histogram only shows extension. This script requires extension, a rapid runup, and record volume to coincide on the same bar before it flags, which is the conjunction O'Neil described qualitatively but is not present in a single distance plot. The adaptive band is a further departure: O'Neil's 70 to 100 figure is calibrated to growth leaders and is rarely reached on indices or low-volatility instruments, so the script can replace the fixed band with one derived from the symbol's own distance distribution, extending the concept beyond the instrument class it was written for. █ NOTES / LIMITATIONS - Insufficient history: the average needs SMA Length bars, the adaptive band needs Adaptive lookback bars, and the runup needs Runup lookback bars. Until those windows fill, the corresponding output is na and no flag appears. - Volume-free symbols: on instruments without volume the record-volume term resolves to na and nothing flags. Turning off Require record-volume condition runs the extension and runup pair only, a weaker two-condition test. - Timeframe: the default band and runup window reflect O'Neil's daily-chart definition. On other resolutions the thresholds keep their numeric values but lose their reference meaning. - Symbol class: the fixed band reflects individual growth-stock behavior. Use adaptive mode for indices, large-cap averages, and low-volatility instruments. - Real-time bars: conditions confirm on bar close. On the forming bar a flag and its line can appear and disappear as price and volume change until the bar closes. Historical flags do not change. - No higher-timeframe data: all computation is on the chart timeframe with no request.security and no lookahead. - Object ceiling: the script retains up to 500 vertical lines. On long histories the oldest markers are dropped as new ones are added. - The default thresholds are conceptual settings consistent with O'Neil's description, not optimized or validated values.
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của BY_Tse
Multi-Timeframe Buy/Sell AnalyzerA Multi-Timeframe Buy/Sell Analyzer maximizes trading accuracy by aligning short-term market entries with long-term market trends. Trading with only one timeframe creates a massive blind spot, leading to false signals and premature exits.Here is a comprehensive overview of how multi-timeframe analysis functions, how to build a mechanical execution strategy, and how to avoid common pitfalls.Structure an Effective Multi-Timeframe StrategyTo analyze multiple timeframes successfully, you must use a top-down approach consisting of three distinct layers.Anchor Timeframe (The Trend): Identifies the macroeconomic direction or primary market trend (e.g., Daily or 4-Hour charts).Intermediate Timeframe (The Structure): Locates key support, resistance, and value zones within that trend (e.g., 1-Hour or 30-Minute charts).Execution Timeframe (The Trigger): Pinpoints precise entry and exit signals to minimize risk and maximize risk-to-reward ratios (e.g., 15-Minute or 5-Minute charts).
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của Rwilliams_0123
Mia-MiloBullish/Bearish Market + Liquidity IndicatorThe Ultimate All-in-One Market Indicator. Finding the perfect time to enter and exit the market is the biggest challenge in trading. To trade successfully, you need an indicator that highlights buying and selling opportunities, tracks market highs and lows, measures capital flow, and counts down candle time. Here is how a comprehensive technical indicator solves these problems for you. Finding Buying and Selling Opportunities. This indicator serves as your market compass, identifying precise entry and exit points. It scans price action to generate precise buy signals during market dips and sell signals near market peaks. By eliminating guesswork, it helps you execute trades with confidence and discipline. Identifying Highs and Lows. Accurately spotting market turning points is crucial for managing risk. The indicator automatically plots key support and resistance levels, marking the absolute highs and lows of recent price movements. This allows you to place accurate stop-loss orders and target profitable exit zones before the trend reverses. Tracking Market Capital (Volume and Liquidity). To know if a move is real, you must see how much capital is actively moving the market. The indicator includes a built-in volume and capital flow index. It reveals whether institutional money is entering or exiting an asset, helping you avoid false breakouts and trade alongside major market players. Monitoring Candle Time Timing is everything when confirming a trade setup. The indicator features an on-screen countdown timer that shows exactly how much time remains before the current candlestick closes. Knowing the remaining candle time prevents you from rushing into trades prematurely and ensures your entry aligns perfectly with candle confirmation.
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của Rwilliams_0123