Ranking

Setup Quality Scorecard [AGPro Series]Setup Quality Scorecard Setup Quality Scorecard grades every bar on a transparent 0-100 scale across ten independent confluence dimensions. Instead of another signal generator, it is a quality filter: it tells you how strong the current setup is, which factors are firing, and how often similar past setups have followed through. Works on any symbol, any timeframe. 🔹 OVERVIEW Every trader has the same question before pulling the trigger: "Is this setup actually good, or am I forcing it?" Setup Quality Scorecard answers that question with a single auditable number. The composite score blends ten orthogonal factors — trend, momentum, volume, volatility, structure, S/R proximity, divergence, candle quality, session context, and higher-timeframe alignment — into a weighted 0-100 quality rating. Bars scoring above the A-Tier threshold are marked with support/resistance-style zones on the chart, so high-quality setup regions stay visible even as the market moves on. 🔹 UNIQUE EDGE Most quality indicators hide their internals behind a black-box algorithm. This one is fully transparent. Every factor exposes its own 0-10 score in the panel, every factor weight is user-adjustable, and every historical signal is evaluated against a forward-looking hit-rate test. There are no secret filters, no proprietary confidence bands, and no cherry-picked backtest. If a setup scores 87, you can see exactly which factors contributed and which did not. 🔹 METHODOLOGY Each of the ten factors is computed independently on the current bar and normalized to a 0-10 scale: 1. Trend Alignment — EMA 20/50/200 stack plus slope confirmation 2. Momentum — RSI zone position combined with 3-bar RSI delta 3. Volume Context — relative volume versus 20-period SMA, calibrated for real-world distribution 4. Volatility Regime — ATR percentile over the last 100 bars, favoring mid-range regimes 5. Structure — HH/HL or LH/LL confirmation via recent pivots 6. S/R Proximity — ATR-normalized distance to the nearest pivot level 7. Divergence — price-versus-RSI regular divergence captured at pivot time 8. Candle Quality — body-to-range ratio and wick balance 9. Session Context — active trading session weighting (London/NY overlap prioritized) 10. HTF Agreement — graduated higher-timeframe alignment scoring (full stack, partial stack, opposed regimes) The ten factor scores are weighted by user-adjustable coefficients, summed, and normalized to produce the final 0-100 composite. Tier labels (S / A / B / C / D) are assigned against user-configurable thresholds. 🔹 SIGNALS AND ALERTS When a bar crosses into A-Tier or higher, a zone is drawn using support/resistance-style geometry (body plus a small ATR cushion). Zones merge automatically when adjacent qualifying setups share the same directional bias, preventing chart clutter. Each zone is labeled with its tier and score in compact A·83 format, with a dotted leader line connecting the label to the zone edge. Four built-in alert conditions are exposed: - S-Tier Setup Detected (score crosses the S-Tier threshold) - A-Tier Setup Detected (score crosses the A-Tier threshold) - New Bullish Quality Setup (first A-tier bullish bar in a run) - New Bearish Quality Setup (first A-tier bearish bar in a run) 🔹 KEY INPUTS - General: Higher timeframe reference, rolling history window, forward evaluation bars - Thresholds: S / A / B / C tier cutoffs, fully adjustable - Factor Weights: ten independent sliders, 0.0 to 2.0, tune the scorer to your style - Zones: adaptive extend (auto or manual), merge window, max height cap in ATR units, maximum age - Labels: on-chart label mode (A-Tier only, S-Tier only, off), size presets - Panel: position, size, factor breakdown toggle 🔹 HOW TO USE Start with defaults and observe for a full session on your chart. Trend traders should raise the Trend and HTF Align weights. Reversal traders should raise Divergence, Structure, and S/R Proximity. Use the Active count in the panel as a quick filter: fewer than three factors above seven generally means a weak setup regardless of composite score. Use the hit-rate number to sanity-check whether your current configuration is performing on this asset and timeframe — if it is below 50 percent on a large sample, revisit your weight assignments. 🔹 LIMITATIONS AND TRANSPARENCY The hit-rate metric is backward-looking. It measures how often past A-tier signals produced a one-ATR directional move within the next N bars. It is not a forecast of future performance. A hit rate with fewer than twenty signals is flagged with an info marker because the sample size is not yet statistically meaningful. Factor definitions are static — they do not adapt to regime changes automatically. Session weighting assumes standard crypto and equity session times in UTC; adjust if you are trading exotic hours. The script uses pivot-based structure, which lags by the pivot length on the right edge of the chart (a standard trade-off for noise suppression). 🔹 RISK DISCLOSURE This indicator is an analytical tool, not financial advice. It does not predict future price movements. A high quality score does not guarantee a winning trade. Past performance of any displayed signal does not indicate future results. Always use proper risk management and position sizing. Never trade with capital you cannot afford to lose.

Indicator

Structural SVM Ranker [LuxAlgo]The Structural SVM Ranker indicator is a market structure tool that utilizes a linear Support Vector Machine (SVM) algorithm to classify and rank structural breaks based on volume, momentum, and price magnitude. By assigning a score from 0 to 100 to every Break of Structure (BOS) and Change of Character (CHoCH), it aims to help traders differentiate between high-conviction structural shifts and low-probability price action. 🔶 USAGE The indicator identifies key pivot highs and lows to map out the market structure. When price closes beyond these levels, a structural break is identified and assigned a score based on the quality of the move. BOS (Break of Structure): Represented by solid lines, these indicate a continuation of the current local trend. CHoCH (Change of Character): Represented by dashed lines, these indicate a potential reversal in the trend direction. SVM Score: Displayed on labels and the dashboard. A higher score suggests the break occurred with significant relative volume, strong RSI momentum, and a meaningful price distance beyond the pivot level. Traders can use the SVM score to filter trade quality. For example, a "CHoCH" with a score above 70 indicates a high-conviction reversal backed by volume and momentum, whereas a score below 30 might suggest a "fakeout" or a weak structural shift. 🔶 DETAILS The core of the script is a linear classification logic inspired by Support Vector Machines. It takes three primary features into account to determine the "strength" of a break: Relative Volume: Compares current volume to its 20-period average to ensure the break is supported by market participation. RSI Momentum: Measures the distance of the RSI from its midpoint (50) to confirm trend strength. Break Distance: Measures how far the price closed beyond the structural level, normalized by the Average True Range (ATR). These features are multiplied by user-defined weights and then passed through a Sigmoid function to produce a normalized score between 0 and 100. 🔶 SETTINGS 🔹 Market Structure Pivot Lookback: Determines the number of bars required to confirm a pivot high or low. Show BOS/CHoCH: Toggles the visibility of structural break lines and labels. 🔹 SVM Ranking Parameters Relative Volume Weight: Adjusts the influence of volume on the final score. RSI Momentum Weight: Adjusts the influence of RSI deviation from 50 on the final score. Break Distance Weight: Adjusts the influence of the price distance beyond the pivot (relative to ATR). ATR Length: The period used for the ATR normalization of the break distance. 🔹 Dashboard Dashboard: Toggles the visibility of the real-time ranking table. Position: Moves the dashboard to different corners of the chart (Top Right, Bottom Right, Bottom Left). Size: Adjusts the scale of the dashboard text.

Indicator

Percentile Rank Oscillator (Price + VWMA)A statistical oscillator designed to identify potential market turning points using percentile-based price analytics and volume-weighted confirmation. What is PRO? Percentile Rank Oscillator measures how extreme current price behavior is relative to its own recent history. It calculates a rolling percentile rank of price midpoints and VWMA deviation (volume-weighted price drift). When price reaches historically rare levels – high or low percentiles – it may signal exhaustion and potential reversal conditions. How it works Takes midpoint of each candle ((H+L)/2) Ranks the current value vs previous N bars using rolling percentile rank Maps percentile to a normalized oscillator scale (-1..+1 or 0–100) Optionally evaluates VWMA deviation percentile for volume-confirmed signals Highlights extreme conditions and confluence zones Why percentile rank? Median-based percentiles ignore outliers and read the market statistically – not by fixed thresholds. Instead of guessing “overbought/oversold” values, the indicator adapts to current volatility and structure. Key features Rolling percentile rank of price action Optional VWMA-based percentile confirmation Adaptive, noise-robust structure User-selectable thresholds (default 95/5) Confluence highlighting for price + VWMA extremes Optional smoothing (RMA) Visual extreme zone fills for rapid signal recognition How to use High percentile values –> statistically extreme upward deviation (potential top) Low percentile values –> statistically extreme downward deviation (potential bottom) Price + VWMA confluence strengthens reversal context Best used as part of a broader trading framework (market structure, order flow, etc.) Tip: Look for percentile spikes at key HTF levels, after extended moves, or where liquidity sweeps occur. Strong moves into rare percentile territory may precede mean reversion. Suggested settings Default length: 100 bars Thresholds: 95 / 5 Smoothing: 1–3 (optional) Important note This tool does not predict direction or guarantee outcomes. It provides statistical context for price extremes to help traders frame probability and timing. Always combine with sound risk management and other tools.

Indicator

by exploretranspose

Sector Rotation & Money Flow Dashboard 📊 Overview The Sector Rotation & Money Flow Dashboard is a comprehensive market analysis tool that tracks 39 major sector ETFs in real-time, providing institutional-grade insights into sector rotation, momentum shifts, and money flow patterns. This indicator helps traders identify which sectors are attracting capital, which are losing favor, and where the next opportunities might emerge. Perfect for swing traders, position traders, and investors who want to stay ahead of sector rotation and ride the strongest trends while avoiding weak sectors. 🎯 What This Indicator Does Tracks 39 Major Sectors: From technology to utilities, cryptocurrencies to commodities Calculates Multiple Timeframes: 1-week, 1-month, 3-month, and 6-month performance Advanced Momentum Metrics: Proprietary momentum score and acceleration calculations Relative Strength Analysis: Compare sector performance against any benchmark index Money Flow Signals: Visual indicators showing where institutional money is moving Smart Filtering: Pre-built strategy filters for different trading styles Trend Detection: Emoji-based visual system for quick trend identification 💡 Key Features 1. Performance Metrics Multiple timeframe analysis (1W, 1M, 3M, 6M) Month-over-month change tracking Relative strength vs benchmark index 2. Advanced Analytics Momentum Score: Weighted composite of recent performance Acceleration: Rate of change in momentum (second derivative) Money Flow Signals: IN/OUT/TURN/WATCH indicators 3. Strategy Preset Filters 🎯 Swing Trade: High momentum opportunities 📈 Trend Follow: Established uptrends 🔄 Mean Reversion: Oversold bounce candidates 💎 Value Hunt: Deep value opportunities 🚀 Breakout: Emerging strength ⚠️ Risk Off: Sectors to avoid 4. Customization All 39 sector ETFs can be customized Adjustable benchmark index Flexible display options Multiple sorting methods 📋 Settings Documentation Display Settings Show Table (Default: On) Toggles the entire dashboard display Table Position (Default: Middle Center) Choose from 9 positions on your chart Options: Top/Middle/Bottom × Left/Center/Right Rows to Show (Default: 15) Number of sectors displayed (5-40) Useful for focusing on top/bottom performers Sort By (Default: Momentum) 1M/3M/6M: Sort by specific timeframe performance Momentum: Weighted recent performance score Acceleration: Rate of momentum change 1M Change: Month-over-month improvement RS: Relative strength vs benchmark Flow: IN First: Prioritize sectors with inflows Flow: TURN First: Focus on reversal candidates Recovery Plays: Oversold sectors recovering Oversold Bounce: Deepest declines with positive signs Top Gainers/Losers 3M: Best/worst quarterly performers Best Acc + Mom: Combined strength score Worst Acc (Topping): Sectors losing momentum Filter Settings Strategy Preset Filter (Default: All) All: No filtering 🎯 Swing Trade: Mom >5, Acc >2, Money flowing in 📈 Trend Follow: Positive 1M & 3M, RS >0 🔄 Mean Reversion: Oversold but improving 💎 Value Hunt: Down >10% with recovery signs 🚀 Breakout: Rapid momentum surge ⚠️ Risk Off: Declining or topping sectors Custom Flow Filter: Use manual flow filter Custom Flow Signal Filter (Default: All) Only active when Strategy Preset = "Custom Flow Filter" IN Only: Strong inflows TURN Only: Reversal signals WATCH Only: Recovery candidates OUT Only: Outflow sectors Active Flows Only: Any non-neutral signal Hide Low Volume ETFs (Default: Off) Filters out illiquid sectors (future enhancement) Visual Settings Show Trend Emojis (Default: On) 🚀 Breakout (Strong 1M + High Acceleration) 🔥 Hot Recovery (From -10% to positive) 💪 Steady Uptrend (All timeframes positive) ➡️ Sideways/Ranging ⚠️ Warning/Topping (Up >15%, now slowing) 📉 Falling (Negative + declining) 🔄 Bottoming (Improving from lows) Compact Mode (Default: Off) Removes decimals for cleaner display Useful when showing many rows Min Data Points Required (Default: 3) Minimum data points needed to display a sector Prevents showing sectors with insufficient data Relative Strength Settings RS Benchmark Index (Default: AMEX:SPY) Index to compare all sectors against Can use SPY, QQQ, IWM, or any other index RS Period (Days) (Default: 21) Lookback period for RS calculation 21 days = 1 month, 63 days = 3 months, etc. Sector ETF Settings (Groups 1-39) Each sector has two inputs: Symbol: The ticker (e.g., "AMEX:XLF") Name: Display name (e.g., "Financials") All 39 sectors can be customized to track different ETFs or markets. 📈 Column Explanations Sector: ETF name/description 1M%: 1-month (21-day) performance 3M%: 3-month (63-day) performance 6M%: 6-month (126-day) performance Mom: Momentum score (weighted average, recent-biased) Acc: Acceleration (momentum rate of change) Δ1M: Month-over-month change RS: Relative strength vs benchmark Flow: Money flow signal ↗️ IN: Strong inflows 🔄 TURN: Potential reversal 👀 WATCH: Recovery candidate ↘️ OUT: Outflows —: Neutral 🎮 Usage Tips For Swing Traders (3-14 days) Use "🎯 Swing Trade" filter Sort by "Acceleration" or "Momentum" Look for Flow = "IN" and Mom >10 Confirm with positive RS For Position Traders (2-8 weeks) Use "📈 Trend Follow" filter Sort by "RS" or "Best Acc + Mom" Focus on consistent green across timeframes Ensure RS >3 for market leaders For Value Investors Use "💎 Value Hunt" filter Sort by "Recovery Plays" or "Top Losers 3M" Look for improving Δ1M Check for "WATCH" or "TURN" signals For Risk Management Regularly check "⚠️ Risk Off" filter Sort by "Worst Acc (Topping)" Review holdings for ⚠️ warning emojis Exit sectors showing "OUT" flow Market Regime Recognition Bull Market: Many sectors showing "IN" flow, positive RS Bear Market: Widespread "OUT" flows, negative RS Rotation: Mixed flows, some "IN" while others "OUT" Recovery: Multiple "TURN" and "WATCH" signals 🔧 Pro Tips Combine Filters + Sorting: Filter first to narrow candidates, then sort to prioritize Multi-Timeframe Confirmation: Best setups show alignment across 1M, 3M, and momentum RS is Key: Sectors outperforming SPY (RS >0) tend to continue outperforming Acceleration Matters: Positive acceleration often precedes price breakouts Flow Transitions: "WATCH" → "TURN" → "IN" progression identifies new trends early Regular Scans: Daily: Check "Acceleration" sort Weekly: Review "1M Change" Monthly: Analyze "RS" shifts Divergence Signals: Price up but Acceleration down = Potential top Price down but Acceleration up = Potential bottom Sector Pairs Trading: Long sectors with "IN" flow, short sectors with "OUT" flow ⚠️ Important Notes This indicator makes 40 security requests (maximum allowed) Best used on Daily timeframe Data updates in real-time during market hours Some ETFs may show "—" if data is unavailable 🎯 Common Strategies "Follow the Flow" Only trade sectors showing "IN" flow with positive RS "Rotation Catcher" Focus on "TURN" signals in sectors down >15% from highs "Momentum Rider" Trade top 3 sectors by Momentum score, exit when Acceleration turns negative "Mean Reversion" Buy sectors in bottom 20% by 3M performance when Δ1M improves "Relative Strength Leader" Maintain positions only in sectors with RS >5 Not financial advice - always do additional research

Indicator

Relative Strength Range Rank Relative Strength Range Rank – Chart Asset vs. Benchmarks Description: This indicator calculates and ranks the relative strength position of the current chart’s asset against up to five user-defined comparison symbols. By default, the comparison set is USDT.D, USDC.D and DAI.D. Calculation method: The same oscillator calculation is applied identically to the current chart’s asset and all comparison symbols: For each symbol: Determine the lowest low over LOWEST bars. Determine the highest high over HIGHEST bars. Calculate normalized position within range: raw_osc = (close - lowest_low) / (highest_high - lowest_low) * 100 Apply a 10-period EMA to smooth raw_osc. Invert and scale to match assets direction: raw_osc = 100 - EMA_10(raw_osc) Apply weighted smoothing: smoothed = 0.191 * previous_value + 0.809 * current_value Apply a final 1-period EMA to reduce jitter. Output is the inverted smoothed oscillator value, representing the relative strength rank. This function is implemented as calculate_oscillator() and used for all input symbols plus the current chart symbol, ensuring consistency in comparative analysis. Plotting: Each comparison symbol oscillator is plotted in the indicator pane. The current chart oscillator is always plotted in black. Alert condition: Boolean chart_osc_above_all is true when the current chart oscillator is strictly greater than all other comparison oscillator values. The alert chart_osc_crossed_above triggers only on the first bar where chart_osc_above_all changes from false to true. Smoothing advantage: The smoothing sequence (EMA → weighted smoothing → EMA) is designed to reduce short-term noise while preserving responsiveness to changes in price position. The initial EMA(10) filters random fluctuations. The weighted smoothing step (0.191 * prev + 0.809 * current) reduces overshoot and dampens oscillations without introducing significant lag, unlike longer EMAs. The final EMA(1) step ensures stability in the plotted oscillator without visible jaggedness. This combination yields a signal that is both smooth and reactive, making relative strength comparisons more precise. Inputs: Sym 1–5: up to five comparison tickers. Lowest low lookback period ( LOWEST ). Highest high lookback period ( HIGHEST ). Color for plotted comparison lines. Output: Oscillator values from 0 to 100, where higher values indicate that the asset’s current price is closer to the highest high of the lookback period, and lower values indicate proximity to the lowest low. Sorted table showing all selected assets ranked by oscillator value. Optional alert when the current chart asset leads all selected assets in oscillator value. Short Description: Computes range-normalized oscillator values for the chart asset and up to 5 symbols, using EMA and weighted smoothing to reduce noise while preserving responsiveness; optional alert when the chart asset exceeds all others.

Indicator

Joel Greenblatt Magic Formula Joel Greenblatt Magic Formula. I always wanted to make this. The Indicator shows 3 values. ROC,EY,SUM. ROC= Return On Capital. EY=Earnings Yield SUM= Addition of Two. Formula: ROC=EBIT / (Net Working Capital + Net Fixed Assets). EY = EBIT / Enterprise value Enterprise Value=(Market value of equity + Net Interest-bearing debt) To implement the strategy, investors start by identifying a universe of stocks, typically large-cap or mid-cap companies that trade on a major stock exchange. Next, they rank the stocks based on their ROC and EY. The companies with the best combination of these two metrics are considered the best investments (based on this ranking). For example, a stock that ranks 10th on EY and 99th on ROIC gets a value of 109. The two ranks are simply added together and all stocks are ranked on the sum of the two ranks. The stocks with the lowest values are best. All credits to "The Little Book That Beats The Market" by Joel Greenblatt The Magic Formula strategy is a stock selection method popularized by Joel Greenblatt’s book The Little Book That Beats the Market. It involves ranking companies based on Two factors: A high return on capital and A high Earnings Yield. The companies with the best combination of these two metrics are considered the best investments. The strategy aims to find undervalued companies with strong financials that have the potential for high returns over the long term.

Indicator

J_TPO Velocity Variation This one is a very random indicator but with an excellent concept. Unfortunately, I don't know much about the origin of this indicator or who made it. Still, the first appearance was around 2004 on a Meta Trader forum. There are a lot of variations of the J_TPO indicator. One of them is the J_TPO Velocity. The difference from the original version is that it uses the price range of the latest candles to change the magnitude of the indicator value, but the concept is the same. More info here In its original form, an oscillator between -1 and +1 is a nonparametric statistic quantifying how well the prices are ordered in consecutive ups (+1) or downs (-1), or intermediate cases. The velocity variation adds the price range, and this script variation adds a baseline as a filter for the indicator. This indicator will work as a confirmation indicator. Using it with the trend filter will work as an entry indicator. Besides the columns representing the indicator's values, 2 more signals will be printed on the chart. One is the middle cross, the other the kicking middle cross. The first will print a signal when the J_TPO crosses the middle line (0) in favor of the trend. A diamond will be printed when the baseline is above 0, and the cross is upwards. The inverse for crosses downwards. The other signal is the Kicking middle cross which will appear when the cross comes after an opposite cross. This will give only one signal per cross in the same direction, which may help identify earlier the trend direction.

Indicator

by ThiagoSchmitz