Strong ETF Screener | ProjectSyndicateStrong ETF Screener turns dozens of charts into a single institutional-style dashboard, ranking a curated universe of the 40 largest US-listed ETFs by performance across six timeframes and scoring each one on professional-grade risk metrics — Beta, Sharpe, Sortino, Omega, Z-Score, and Kelly — so you can find the market's leaders and weigh their risk-adjusted quality at a glance, all on one clean, sortable panel. Every figure is computed live on the daily timeframe from real price history, not hard-coded, so the board reflects the market as it actually is right now.
📊 Curated Top-40-by-AUM Universe — the screener watches the 40 biggest US-listed ETFs by assets under management in one place: broad-market and S&P 500 cores (VOO, SPY, IVV, VTI), growth and tech (QQQ, VUG, VGT, XLK, SMH), international and emerging markets (VEA, IEFA, VXUS, VWO, IEMG), bonds (BND, AGG, TLT, BNDX, VCIT), factor and income (SCHD, VYM, VIG, QUAL, JEPI, RSP), and alternatives like gold (GLD) and spot Bitcoin (IBIT). Instead of flipping through forty charts, you see every fund's performance and risk profile side by side and immediately spot which sleeve of the market is leading and which is rolling over.
🗓️ Six-Timeframe Performance — each ETF is tracked across Week, Month, Quarter, 6-Month, 12-Month, and Year-to-Date returns, so you can separate a one-week move from a genuine long-run trend and see momentum building or fading across horizons in a single row.
🧮 Institutional Risk Metrics, Done Properly — beyond raw returns, every fund is scored on Sharpe (excess return per unit of total volatility), Sortino (return per unit of downside risk only), Omega (probability-weighted gains versus losses above the risk-free threshold), Z-Score (how stretched the recent move is in standard deviations), and the Kelly fraction (a theoretical optimal-sizing read from return and variance). The stats are annualized from daily returns over a rolling one-year window with a configurable risk-free rate, so the risk picture is consistent and comparable across the whole list — letting you line a high-flying tech fund up against a steady bond ETF on the same footing.
🎯 Basket-Relative Beta — Beta is measured against an equal-weight basket of the 40 ETFs in the screener, so it tells you how a fund moves relative to this specific top-40 cohort rather than a single broad index. Beta above 1 swings harder than the group; below 1 is steadier — an instant read on which names amplify the market and which cushion it. You control the lookback length used for the beta and correlation calculation.
🌡️ Annualized Weekly Volatility — a dedicated Wk Vol column annualizes the standard deviation of recent weekly returns, giving you a fast read on how violent each fund's price action is before you size into it — so a leveraged-feeling growth or crypto ETF never gets mistaken for a sleepy aggregate-bond fund.
🔀 Dynamic Sorting — sort the entire board by any of the six performance columns, or by static AUM rank, with a single setting. Rank by YTD to find the year's leaders, by Week to catch what is moving on fresh flows, or by any horizon in between — the table re-ranks instantly.
🎨 Bloomberg-Amber Theme with Color-Coded Strength — a clean amber-on-black dashboard with a multi-level gradient that runs from bright amber on the strongest gains through to deep red on the steepest losses, so strength and weakness jump out the moment you look at the panel.
🧩 Fully Customizable Dashboard — place the table anywhere on the chart (Top / Middle / Bottom paired with Left / Center / Right), choose your text size (Tiny / Small / Normal / Large), set the sort column, the beta length, and the risk-free rate and periods — all from the settings menu, no code editing required. The 40-ticker list is a single, clearly labeled block in the source, so refreshing the universe as AUM rankings shift is a quick edit.
🔒 Daily-Timeframe Lock — the screener is built for daily data and will prompt you to switch if you load it on a lower timeframe, so the returns, volatility, and ratios are always calculated on the basis they are designed for.
⚡ Lightweight and Efficient — the whole 40-name board is built from a tight, well-organized script that runs smoothly on PulseWire, with a clean merged title heading and an alternating-row layout for easy reading. Delisted or halted tickers degrade gracefully to blank rows rather than breaking the panel.
🎯 Why this is different — most watchlists show you price and maybe a percentage move. This screener puts performance and a full institutional risk stack — Sharpe, Sortino, Omega, Z-Score, Kelly, Beta, and annualized volatility — for the forty largest ETFs on one sortable, color-coded panel, so you are ranking opportunities by risk-adjusted quality, not just chasing the biggest green number.
🚀 Where to use it — apply it to any daily chart to monitor the ETF leadership landscape as a whole. Use it for top-down asset-allocation and rotation ideas, cross-sleeve comparison (equity vs bond vs commodity vs crypto), and risk screening before you drill into an individual fund's chart for entry timing.
⚠️ Important — this is a research and decision-support dashboard, not a buy/sell system, and it makes no performance guarantees. The 40-name universe is a snapshot of the current largest ETFs by AUM and will drift over time; the board re-ranks live, but membership is fixed until you update the ticker list. All figures are historical and descriptive, computed from past price data, and say nothing certain about the future. Risk metrics like Sharpe, Sortino, Omega, Z-Score, and Kelly are simplified, assumption-based estimates and should inform your judgment, not replace it. Always pair the screener with your own analysis and risk management. Indicator
Strong NQ ORB Breakouts | ProjectSyndicateSTRONG NQ ORB Breakouts catches the moment the Nasdaq session resolves its opening range — and instead of treating every push past a line as a trade, it waits for a genuine close beyond the range, tags the direction, and ranks the breakout 0–10 with a star score. The first block of the session builds a range; price then has to actually close outside it, in agreement with momentum and — if you want it — the higher-timeframe trend, before a signal arms. Every setup gets a structural stop, fixed R-based targets with a ⅓/⅓/⅓ scale-out and break-even after the first bank, and is tracked live on a full statistics dashboard — including end-of-session time-stops — so you can see exactly how the logic behaves on the instrument and timeframe you trade.
🧠 Opening-Range Core — the core idea. At the start of the session the engine records the high and low of a configurable opening window, 60 minutes by default. That band is the opening range: the session's first agreed value area. A signal fires on the release — the bar that closes beyond the range high for a long or the range low for a short inside the trade window — and the direction is set by that break. In Auto mode the range anchors to the instrument's own daily session open (the first bar of the day), so it locks to the real NAS100 / NQ open regardless of your feed's server clock; a Custom session-plus-timezone mode is there if you'd rather define the window by hand. Signals are evaluated on the bar's close and are fixed once that bar closes — the range and the break do not repaint.
📈 Range Mapping & ADR Context — while the opening window is live, the engine continuously tracks the developing high, low, and width of the range, then freezes it the moment the window ends. The finished range is measured in points and expressed as a percentage of the instrument's Average Daily Range, a non-repainting daily read, so you instantly see whether the session is coiling tightly or has already burned its move. A clean, proportionate range is a loaded session; an over-wide one is a day that has already spent itself.
🎯 Structural Stop + R-Based Scale-Out — risk (R) is measured from an ATR distance by default — the strongest basis on NAS100 M5 — or against the opposite range edge or the range midline if you prefer, then floored and capped by ATR so it can never collapse into a meaningless stop or balloon into a wide one. TP1, TP2, and TP3 are set at clean R multiples and default to a balanced 1R / 2R / 3R, fully adjustable. The trade model is an honest ⅓ scale-out: one third banks at each target, and after TP1 the remaining two thirds ride with the stop moved to break-even. Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled levels, and filled TP / SL zone boxes, with an R-tagged result label on exit.
🎚️ Conviction Controls — a small set of dials sets how serious a breakout must be before it counts: the 0–10 Minimum Strength gate, an optional Range-vs-ADR window that skips days whose range is too tight or too wide, a Close-vs-Wick breakout trigger, and Max One Trade Per Day. By design the day-skipping filters are off by default — no days are hidden — so you first see the raw, unfiltered behavior. Tighten them for fewer, higher-quality fires; loosen them for more activity. This is your main dial for conviction versus frequency.
🧭 HTF Trend Alignment + Session Gating — an optional higher-timeframe EMA filter blocks counter-trend fires, keeping you on the dominant side: longs only above it, shorts only below. The higher-timeframe value is read without lookahead. Entries are confined to the trade window after the range forms, and the per-day cap spaces out tickets so one volatile session can't stack trades. Anything still open at the session close is flattened by an end-of-session time-stop — and that exit is booked and counted honestly, never quietly dropped.
🧲 Liquidity Magnet — the engine maps resting liquidity by tracking confirmed swing pivots above and below price and marking each as swept or unswept as price trades through it. When a breakout fires, it projects the nearest opposing unswept pool as a dotted magnet line — the pocket of liquidity the move is naturally drawn toward — and the dashboard reports the distance to the nearest pools up and down in ATR terms. It's context for where the breakout wants to go.
⭐ 0–10 Setup-Quality Score — every release is scored and labeled with 1–5 stars and a tier FORMING → WEAK → MODERATE → STRONG → VERY STRONG → ELITE across breakout-native factors: expansion-candle body strength, candle range vs ATR, momentum alignment over short and medium lookbacks, volume confirmation, clean penetration beyond the range edge, RSI agreement, higher-timeframe EMA alignment, and intraday bias of close versus the session open. A companion direction-probability read blends penetration, momentum, RSI, session bias, and HTF position into an up/down percentage. Treat the score as a confluence / cleanliness read for ranking setups — it describes how textbook a breakout is, not a guaranteed outcome. Note: on the test data, filtering to "strong only" actually *reduced* win rate, so the stars default to a context tool rather than a hard gate.
📊 Live Statistics Dashboard — a non-intrusive panel tracks, in real time on your chart: the current session state of waiting / forming OR / range set / armed / trade active, the live opening-range size and its ADR percentage, the magnet distance up and down, the active bias and trade, the live strength and direction-probability meters, total win rate and closed-trade count, profit factor, average R per trade, total R, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL / EOD outcome breakdown. Every filled trade that reaches an outcome is counted — winners, stop-outs, break-even runners, and time-stops alike — so the numbers are computed live from the real signals on your current symbol and timeframe rather than a figure printed in a description.
🎨 Clean Themed Visuals — a Midnight institutional palette, with Emerald, Ice Blue, Gold Black, and Aqua Violet alternates, shades the opening-range box, the ORH / ORL / midline levels, the per-trade SL / TP ladder, the liquidity pools and magnet, and the dashboard to one coherent look, so quality and direction read at a glance. The range box is drawn over the window where it formed and projected forward with point-labeled edges; long and short trades are color-keyed; a faint tint marks the active opening window. A shelf-length and max-drawn-trades control keep the chart clean — the right-edge zones never stretch into oversized towers, tickets snap back to the exit bar on close so labels never float away, and only the most recent N tickets stay drawn while the statistics remain cumulative over the whole history.
🔔 Detailed Alerts — fires on long / short opening-range breakouts, plus TP3, protected partial-TP, and stop-loss events, formatted for manual or automated use.
🔧 Fully Customizable — every component is exposed: the range anchor (Auto session-open or Custom), the opening-range minutes, timezone, and trade window; the ATR length, stop basis of ATR / opposite edge / midline with risk cap and floor; the three R targets, break-even-after-TP1 toggle, Close-vs-Wick trigger, and one-trade-per-day cap; the ADR gate with min/max band, minimum strength, and HTF alignment filter and timeframe; the liquidity pivot length, pool display, and magnet toggle; the point definition for the dashboard; all five themes; and every label, dashboard, zone, and projection toggle.
🎯 Why this is different — most ORB tools just draw two lines at a fixed clock time and leave everything after that to you. This one anchors the range to the real Nasdaq open, sizes the break against the instrument's own ADR so a tight coil and a blown-out day aren't treated alike, can demand momentum, volume, penetration, and trend confirmation before it fires, anchors risk sensibly, then layers a genuine ⅓/⅓/⅓ scale-out with break-even, a liquidity magnet, an objective 0–10 ranking, and a live, honest statistics panel — one that counts stop-outs and end-of-session exits in full — so you are tuning and judging the system on real, current data instead of a marketing figure.
🚀 Where to use it — built and validated for NAS100 / NQ on the M5 timeframe, where the default OR 60m · ATR×1.0 stop · 1R/2R/3R model was developed. The ATR-based stop and ADR sizing adapt to volatility automatically, and the session windows can be re-pointed to a different open if you want to run the same engine elsewhere. It works on other index CFDs and futures, but the defaults are tuned for the Nasdaq open.
🎯 How to trade it
- Apply it to NAS100 / NQ on M5 and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe before committing — if the logic doesn't suit your feed, you'll see it.
- Start with the day-skipping filters off to see raw behavior; add the HTF Trend Alignment and Range-vs-ADR gates when you want to trade only with the larger trend and skip dead or already-spent sessions.
- Wait for a NQ ORB LONG / NQ ORB SHORT label — it marks a confirmed close beyond the opening range, with the star score, direction probability, and Entry, SL, and TP1/2/3 already plotted.
- Manage the trade with the plotted levels: the structural SL defines your risk, one third banks at each R target with the stop moving to break-even after TP1, and any position still open at the trade-window close is flattened by the time-stop.
- Use Minimum Strength and Max One Trade Per Day to set your tempo, and read the liquidity magnet for a sense of where the move is being drawn.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical data and behavior will vary by instrument, timeframe, session, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. The trade model includes a ⅓ scale-out, break-even after TP1, and an end-of-session time-stop, so some trades close at a fraction of a target rather than a full win or loss — these are counted in full, which is honest but means win rate alone is misleading; always weigh it together with average R and profit factor, and resize the R targets to your own risk profile. Signals confirm on the closed bar, so always wait for the labeled release on a closed candle. Always combine it with your own analysis and risk management, and test it on your market before trading it live. Indicator
INDEX Dashboard + Round Number Magnet**INDEX Dashboard + Round Number Magnet**
A dual-purpose indicator that displays a real-time index dashboard and alerts you when price is approaching or pinning a key round number level.
**Dashboard**
Shows a 4x3 grid of the major US indices across Cash, Futures, and ETF categories — DowJones, S&P500, Nasdaq, and Russell 2000. Each cell is color-coded green/red based on the day's percentage change, with intensity scaling to the size of the move. The leading index in each row is marked with a ★. VIX is displayed in the top corner with color-coded risk levels (green below 15, orange below 20, red above).
**Round Number Magnet**
Active on SPX, SPY, QQQ, and US500.F only. Automatically detects the nearest round number level based on the instrument (25-point grid for SPX/ES, 5-point grid for SPY/QQQ) and draws a grid of levels above and below price. When price gets within the proximity threshold of a round number, a flashing banner appears at the top of the chart inside a table. If price stays near the level for several bars, it escalates to a PINNING alert — indicating dealers may be actively defending the strike.
**Alerts included**
- Approaching a round number
- PINNING detected at a round number Indicator
Trend Flip Risk MapTrend Flip Risk Map
Short description:
Trend Flip Risk Map is a structured trend-transition and risk-planning overlay that marks EMA regime flips with BUY/SELL planning labels, then projects an ATR-based Entry, Stop Loss, and TP1/TP2/TP3 ladder directly on the chart.
Full description:
Trend Flip Risk Map is a Trade Manager-style research indicator designed to make trend-transition areas easier to study, validate, and publish cleanly on PulseWire. The script focuses on the moment when a faster EMA crosses above or below a slower EMA, then converts that trend flip into a clear visual risk map instead of leaving the trader to mentally estimate entry, invalidation, and profit-taking zones.
When the fast EMA flips above the slow EMA, the indicator can print a BUY planning marker. When the fast EMA flips below the slow EMA, it can print a SELL planning marker. Each marker is paired with a fresh trade-planning ladder that includes an Entry reference, an ATR-based Stop Loss, and three configurable R-multiple targets: TP1, TP2, and TP3.
The goal is not to predict every market turn. The goal is to create a cleaner decision map around confirmed trend changes so a trader can quickly see:
- Where the trend-transition signal occurred
- Which side of the market the EMA regime currently favours
- Where the entry reference sits relative to price
- Where the idea is visually invalidated by the Stop Loss level
- Where staged target zones would appear if the move continues
- Whether the available reward profile is worth further review before any trade decision
Core visual elements:
- Fast EMA and slow EMA regime map
- BUY labels on bullish EMA trend flips
- SELL labels on bearish EMA trend flips
- ATR-based Stop Loss projection
- Entry reference line
- TP1, TP2, and TP3 R-multiple target ladder
- Trend-coloured candles to show the active EMA bias
- Right-side price labels for Entry, SL, TP1, TP2, and TP3
- Alert conditions for bullish and bearish planning markers
How it works:
The indicator uses a fast EMA and a slow EMA to define the active trend regime. A bullish flip occurs when the fast EMA crosses above the slow EMA. A bearish flip occurs when the fast EMA crosses below the slow EMA. On each new flip, the prior ladder is cleared and a new risk map is drawn from the latest signal area.
The Stop Loss is calculated using ATR, which allows the risk zone to expand or contract with current market volatility. The take-profit levels are then projected from the distance between Entry and Stop Loss, using configurable R-multiple inputs. This keeps the visual structure consistent across different symbols, price ranges, and volatility conditions.
Suggested use cases:
- Studying clean trend-transition zones after EMA regime changes
- Building publication screenshots with a complete BUY/SELL + TP/SL path
- Reviewing whether a trend flip has enough room before nearby structure
- Comparing signals across intraday futures, indexes, stocks, crypto, or forex charts
- Forward-validating a simple trend-following planning model before developing stricter rules
- Creating a consistent visual framework for entry, invalidation, and staged target discussion
Suggested chart setup:
For publishing, 15-minute or 30-minute charts usually give the cleanest balance between readable trend structure and enough signal detail. For broader swing review, 1-hour charts may be cleaner. Very low timeframes can create more frequent flips and may make screenshots look crowded, so use them only when the purpose is short-term scalping review.
Recommended markets and timeframes:
- NQ / ES: 15m or 30m for intraday trend-transition examples
- Major index ETFs: 30m or 1h for cleaner directional examples
- Liquid large-cap stocks: 30m or 1h
- Crypto majors: 30m, 1h, or 4h depending on volatility
Input controls:
- Fast EMA length
- Slow EMA length
- ATR length
- Stop Loss ATR multiplier
- TP1 R-multiple
- TP2 R-multiple
- TP3 R-multiple
- Confirm on close toggle
- BUY, SELL, TP, SL, and Entry colours
Reading the indicator:
A BUY marker means the fast EMA has flipped above the slow EMA under the selected settings. A SELL marker means the fast EMA has flipped below the slow EMA under the selected settings. The Entry line shows the reference price used when the marker was created. The SL line shows the ATR-based invalidation area. TP1, TP2, and TP3 show staged target references based on the configured R-multiple values.
Because the ladder is redrawn at each new flip, the chart stays focused on the most recent active trend-transition map rather than accumulating old levels across the full chart.
What makes this useful:
Many trend-following tools stop at a signal label or a moving-average crossover. Trend Flip Risk Map adds the missing planning layer: where the idea starts, where it fails, and where staged targets would be located if the move extends. That makes the signal easier to review visually, easier to screenshot for educational publishing, and easier to forward-test with consistent rules.
Best practices:
- Use the indicator as a planning and research overlay, not as a standalone trading system
- Review signal quality in context with market structure, session timing, liquidity, and higher-timeframe trend
- Adjust ATR and R-multiple settings to match the symbol and timeframe being studied
- Avoid using very small stop settings on volatile markets without additional validation
- Forward-test settings before relying on them for any decision-making process
- Use clean screenshots with only a few strong examples visible when publishing
Important disclaimer:
This script is provided for educational, research, and chart-planning purposes only. BUY/SELL markers, Entry levels, Stop Loss levels, and TP levels are visual planning references, not financial advice, trade recommendations, or promises of future performance. The script does not predict market direction, guarantee profitability, or replace independent risk management. Markets involve risk, and all settings should be tested on your own symbol, timeframe, and risk model before relying on any output.
Indicator
APEX ELITE . 2━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
◈ APEX ELITE . 2
Open Source Pine Script v6 · Panel-Only Edition · Zero Chart Clutter
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⚠️ NOT FINANCIAL ADVICE — See full disclaimer at the bottom.
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WHAT IS APEX ELITE?
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APEX ELITE is a single, unified intraday dashboard that replaces what would otherwise require 8 or more separate indicators. Everything runs internally and surfaces through one clean, color-coded panel. Your chart stays completely uncluttered — no extra lines, no overlapping boxes, no noise.
Built specifically for intraday traders who need instant situational awareness:
→ Is there a signal right now?
→ What is the trend across multiple timeframes?
→ Where are the key levels?
→ How strong is the current edge?
All of that — answered in a single glance at the panel.
🔑 Key principles:
• All signals fire on confirmed bars only — zero repainting
• 12+ factors combine into one composite score before any signal fires
• Session clock tracks 8 intraday phases so you always know the market context
• Compact Mode available for smaller screens
• 22 configurable alert conditions built in
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THE 12 MODULES — COMPLETE BREAKDOWN
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▸ BLOCK A — SIGNAL COMMAND
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The top block of the panel. Shows the current signal state in large text — ▲ CALL SIGNAL, ▼ PUT SIGNAL, or ● WATCHING — along with the live composite edge score and directional bias.
• Signal State: CALL / PUT / WATCHING — updates every confirmed bar
• Edge Direction: BULL / BEAR / NEUT with score out of 100 (e.g. "BULL 82/100")
• Edge Bar: 10-block visual bar showing edge % (████████░░)
• Bull / Bear pts: Raw scores shown side-by-side for comparison
The background color of this row changes: green for CALL, red for PUT, neutral for watching.
▸ BLOCK B — INTRADAY LEVELS
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Every key price level an intraday trader needs, all in one place.
• VWAP Zone: Which of 6 zones price is in — Above +2σ / +1→+2σ / VWAP→+1σ / -1→VWAP / -2→-1σ / Below -2σ
• VWAP Distance: Real-time % distance of close from VWAP (e.g. +0.42% dist)
• PMH / PML: Pre-Market High and Low — the most important intraday reference levels. A break of PMH or PML triggers the maximum +20 trigger points.
• FCH / FCL: First Candle High and Low (configurable: 1/2/3/5/15 min). Also shows the first candle's range as a %.
• Supply / Demand: Nearest unmitigated supply zone above price and demand zone below price — with total active zone count.
• Level Break: Live readout when PMH, PML, FCH, or FCL is broken on the current bar.
▸ BLOCK C — MOMENTUM STACK
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A complete multi-timeframe picture of trend alignment.
• SMA 9 (cyan): Short-term momentum MA. Above = bullish micro trend.
• SMA 21 (gold): Medium momentum MA. The primary intraday trend filter.
• SMA 50 (orange): Intermediate trend. Pullback entries reference this level.
• SMA 200 (red): Long-term macro trend. Above = bull market context.
• MA Alignment: Count of MAs on each side (e.g. 4/4 bull). Full stack = strongest signal.
• MA Stack Order: Full Bull Stack confirmed when 9 > 21 > 50 > 200 all correctly ordered.
• EMA Ribbon: EMA 8 vs EMA 21 — ribbon direction shows short-term momentum.
• MTF Alignment: Per-timeframe arrows (▲5m ▲15m ▼1h) — instantly see each TF at a glance.
• Daily Context: Daily EMA 9 vs EMA 21 — trade with the daily trend for the highest quality setups.
Tip: MTF 3/3 aligned + MA 4/4 bull + daily EMA bull = the highest conviction entries.
▸ BLOCK D — MARKET STRUCTURE
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The highest-conviction trigger events in the system.
• Liquidity Sweep: Price briefly violates a 20-bar extreme before reversing — a classic stop hunt. Tracks age in bars (e.g. "▲ Bull (3b ago)").
• Structure Break (MSB): Close crosses a confirmed 10-bar pivot high or low. The strongest directional confirmation. Also tracks age.
• Squeeze: Bollinger Bands contracting inside Keltner Channels = coiling volatility. Shows bars coiling. Fires on expansion.
• Squeeze Momentum: Rising / Falling / Flat direction of momentum during the squeeze.
• ADX: Average Directional Index — Strong (>30) / Trending (20-30) / Choppy (<20).
• DI+ / DI-: Split readout showing directional pressure.
Both Sweeps and MSBs add the maximum trigger bonus (+20 pts) to the score.
▸ BLOCK E — RISK ENGINE
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Everything needed to size and manage a trade the moment a signal appears.
• ATR 14: 14-period Average True Range — raw volatility in price points.
• Stop 1× / 1.5× / 2×: Three stop-loss distances pre-calculated simultaneously. Choose based on your risk tolerance.
• Volume Ratio: Current volume as a multiple of the 20-bar average (e.g. 1.8× avg).
• Volume: "▲ SPIKE" label when volume clears your configured threshold. "Normal" otherwise.
• RSI 14: 14-period RSI with contextual labels — OB (>70), OS (<30), Elevated, Depressed, Neutral.
▸ BLOCK F — LIQUIDITY HEATMAP
( Inspired by BigBeluga — Dynamic Liquidity HeatMap Profile )
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This module is inspired by the methodology from BigBeluga's excellent Dynamic Liquidity HeatMap Profile indicator. It uses ATR-normalized, volume-weighted pivot analysis over a configurable lookback (default 300 bars) to determine whether buy-side or sell-side liquidity is dominant.
• Liq Bias: Buy-Side / Sell-Side / Balanced — with dominant side percentage (e.g. "Buy-Side 73%")
• Vol Intensity: Graphical bar (▓▓▓░░) showing current volume activity as % of the 300-bar max
• Score Impact: +5 bull score when buy-side > 60% · +5 bear score when sell-side > 60%
Full credit to BigBeluga for the original concept. Please visit and support their work.
▸ BLOCK G — REVERSAL PROBABILITY ZONE
( Inspired by LuxAlgo — Reversal Probability Zone & Levels )
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This module ports the exact algorithmic core of LuxAlgo's Reversal Probability Zone & Levels indicator. It builds two separate databases of historical swing moves — one bullish, one bearish — tracking both the price magnitude and bar duration of every confirmed pivot. From these it calculates statistical percentile targets for the most likely next move.
• Forecast Bias: ▲ Bull or ▼ Bear — direction expected after the last pivot
• 25th / 50th Percentile: Conservative and median price targets (e.g. 518.40 / 521.20)
• 75th / 90th Percentile: Aggressive and maximum targets (e.g. 524.80 / 528.50)
• Duration: Expected bar count to reach each target (e.g. "8 bars / 22 bars")
• Pivot Count: Total swings tracked — more pivots = more statistically reliable readings
Full credit to LuxAlgo for the original algorithm. Licensed under CC BY-NC-SA 4.0.
▸ BLOCK H — STANDARD DEVIATION CHANNEL
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A linear regression channel fitted to the last N bars (default 128). Shows where price sits statistically within the current trend.
• Channel Zone: One of 6 zones — Above +2σ / +1→+2σ / Mid→+1σ / -1→Mid / -2→-1σ / Below -2σ
• Trend Direction: Rising / Falling / Flat based on the regression slope
• Pearson R: Correlation coefficient. Above 0.8 = very clean trend. Below 0.5 = noisy/ranging.
• Midline Distance: % distance of close from the regression center line
Best CALL zone: "Mid → +1σ" on a rising channel.
Best PUT zone: "Mid → -1σ" on a falling channel.
Avoid entries when zone shows "Above +2σ" or "Below -2σ" — price is statistically extended.
▸ BLOCK I — RSI DIVERGENCE
( Libertus Method )
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Detects bull and bear RSI divergences by comparing price swing extremes against RSI swing extremes over a configurable lookback window (default 90 bars).
• Bull Divergence: Price makes lower low but RSI makes higher low — hidden strength, potential reversal up
• Bear Divergence: Price makes higher high but RSI makes lower high — hidden weakness, potential reversal down
• Age Tracking: "Bull Div (3b ago)" or "Bull Div ✦ NOW" — shows exactly how fresh the divergence is
• RSI Value: Current reading with OB / OS labels
• Score Bonus: +5 bull score on bull divergence · +5 bear score on bear divergence
Credit to Libertus for the divergence detection methodology.
▸ BLOCK J — SESSION CLOCK
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Intraday trading is entirely timing-dependent. This block tracks 8 distinct market phases, each color-coded by typical volatility profile.
PRE-MKT → 4:00 – 9:30 AM ET (PMH/PML building)
OPEN (HOD/LOD) → 9:30 – 10:00 AM ET (highest volatility, initial direction)
AM SESSION → 10:00 – 11:30 AM ET (best signal quality window)
LUNCH APPROACH → 11:30 – 12:00 PM ET (momentum slowing)
LUNCH CHOP → 12:00 – 1:30 PM ET (avoid new entries)
PM SESSION → 1:30 – 2:30 PM ET (trend continuation or reversal)
POWER HOUR NEAR → 2:30 – 3:00 PM ET (institutional activity increasing)
POWER HOUR → 3:00 – 4:00 PM ET (highest volume, strongest moves)
Also shows time remaining in RTH. Turns gold when less than 60 minutes remain.
▸ BLOCK K — COMPOSITE EDGE SCORE
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Instead of just showing one number, this block breaks the score into individual factor bars — each showing exactly how much it is contributing. You can see not just THAT the score is high, but WHY.
VWAP → ████░ (max 15 pts)
MTF → █████ (max 15 pts)
MA → ████░ (max 12 pts)
Momentum → ███░░ (max 5 pts)
Volume → ██░░░ (max 10 pts)
Trigger → █████ (max 20 pts ← most important)
ADX → ████░ (max 8 pts)
Edge → ████░ (overall 0-100)
A high score driven purely by momentum without a trigger event is weaker than one with everything aligned.
▸ BLOCK L — FRACTAL BASE
( Inspired by LuxAlgo — Fractal Base Indicator )
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This module ports the core logic from LuxAlgo's Fractal Base Indicator. A fractal is a confirmed swing pivot where price has N bars of context on both sides — these represent the most significant recent support and resistance levels because they show where price genuinely reversed.
• Fractal Res: Last confirmed fractal HIGH — price + bars since + % distance from close
• Fractal Sup: Last confirmed fractal LOW — price + bars since + % distance from close
• Price Bias: "Above Res" (price broke resistance) / "Below Sup" (broke support) / "In Range" (between levels)
• Fractal Event: "New High Fractal" or "New Low Fractal" when a new fractal confirms this bar
• Score Bonus: +4 pts near fractal support/resistance · +3 pts when level is broken
• Configurable: Fractal Periods input — 2 = 5-bar fractal (default), 1 = 3-bar, 3 = 7-bar
Full credit to LuxAlgo for the original indicator concept.
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THE SCORING ENGINE
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Bull and bear scores are calculated independently on every confirmed bar. A signal only fires when the score clears the threshold AND key filters are simultaneously met.
COMPONENT MAX PTS CONDITION
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VWAP Zone 15 / 8 15 inside ±1σ · 8 correct side outside band
MTF Alignment 15 / 8 15 all 3 TFs aligned · 8 for 2 of 3
MA Alignment 12/7/3 12 for 4/4 · 7 for 3/4 · 3 for 2/4
EMA Ribbon 5 EMA 8 vs 21 direction
Volume Spike 10 Volume > mult × 20-bar avg AND correct direction
Trigger Event 20 ★ PMH/PML/FCH/FCL break · Sweep · MSB
ADX Strength 8 / 5 8 if ADX >30 · 5 if ADX 20-30
Squeeze Fire 5 Squeeze fires in signal direction
ABC Harmonic 5 Active harmonic pattern aligned
RSI Zone 5 RSI 50-70 for bull · 30-50 for bear
RSI Divergence 5 Bull/bear divergence active
Liq HeatMap Bias 5 Buy/sell-side >60%
Std Dev Channel 4 Price in sweet zone on correct trend
Daily EMA Trend 4 Daily chart EMA alignment
S/D Zone Proximity 3 Within 0.3% of demand (bull) or supply (bear)
Fractal Proximity 4 / 3 Within 0.25% of fractal level / level broken
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★ Trigger Event carries the most weight. A signal without a trigger is unlikely to fire.
DEFAULT THRESHOLD: 65 pts
Raise to 75+ for fewer but higher-quality signals.
Lower to 55 on very active trending days.
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SIGNAL CONDITIONS
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A CALL signal requires ALL of the following simultaneously:
✅ Bull score ≥ threshold
✅ Close above VWAP (hard filter)
✅ MTF alignment 2/3 or better
✅ Active trigger event (PMH break / FCH break / Bull Sweep / MSB ▲ / Squeeze bull)
✅ barstate.isconfirmed — never fires mid-bar, zero repainting
✅ RTH session active (if RTH Only setting is on)
A PUT signal requires ALL of the following simultaneously:
✅ Bear score ≥ threshold
✅ Close below VWAP (hard filter)
✅ MTF alignment 2/3 or better (bearish)
✅ Active trigger event (PML break / FCL break / Bear Sweep / MSB ▼ / Squeeze bear)
✅ barstate.isconfirmed
✅ RTH session active (if RTH Only setting is on)
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22 ALERT CONDITIONS
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To set up: Right-click the indicator → Add Alert → Select condition.
All alerts include: ticker · close price · timestamp.
SIGNAL ALERTS
▲ CALL Signal — Full CALL criteria met
▼ PUT Signal — Full PUT criteria met
◆ Any Signal — Either CALL or PUT
LEVEL BREAK ALERTS
→ PMH Breakout — Close crosses pre-market high
→ PML Breakdown — Close crosses pre-market low
→ FCH Break — Close crosses first candle high
→ FCL Break — Close crosses first candle low
STRUCTURE ALERTS
→ Sweep CALL — Bull sweep + above VWAP
→ Sweep PUT — Bear sweep + below VWAP
→ MSB Bull — Market structure break upward
→ MSB Bear — Market structure break downward
MOMENTUM ALERTS
→ Squeeze Bull Fire — Squeeze fires with bullish close
→ Squeeze Bear Fire — Squeeze fires with bearish close
→ MA Full Bull Stack — All 4 MAs correctly ordered up
→ MA Full Bear Stack — All 4 MAs correctly ordered down
DIVERGENCE & LIQUIDITY
→ RSI Bull Divergence — Bull div detected
→ RSI Bear Divergence — Bear div detected
→ Liq Buy Bias — HeatMap buy-side > 60%
→ Liq Sell Bias — HeatMap sell-side > 60%
PREMIUM ALERTS
★ High Edge (80+) — Composite edge score reaches 80 — premium setup
→ New High Fractal — New confirmed fractal high (LuxAlgo logic)
→ New Low Fractal — New confirmed fractal low (LuxAlgo logic)
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SETTINGS QUICK REFERENCE
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SESSION & TIME
Pre-Market Session → 0400-0930 ET (adjust for your exchange)
RTH Session → 0930-1600 ET
First Candle Length → 1 / 2 / 3 / 5 / 15 minutes
RTH Signals Only → On by default (recommended)
SIGNAL ENGINE
Min Score to Signal → 65 (raise for fewer signals, lower for more)
Volume Spike Mult → 1.4× (volume must be this × the 20-bar average)
MOVING AVERAGES
MA Type → SMA / EMA / WMA (switches all 4 simultaneously)
MA Lengths → 9 / 21 / 50 / 200 (individually configurable)
REVERSAL PROB ZONE (LuxAlgo)
Swing Length → 20 (pivot sensitivity)
Max Reversals → 1000 (database cap)
Percentiles → 25 / 50 / 75 / 90 (target levels to display)
FRACTAL BASE (LuxAlgo)
Fractal Periods → 2 = 5-bar fractal | 1 = 3-bar | 3 = 7-bar
STD DEV CHANNEL
Regression Length → 128 bars (shorter = more reactive)
RSI DIVERGENCE
RSI Length → 14
OB / OS Levels → 70 / 30
Divergence Lookback → 90 bars
DISPLAY
Panel Position → Top Right / Top Left / Bottom Right / Bottom Left
Compact Mode → Hides sub-rows to shrink panel height
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HOW TO READ THE PANEL — QUICK CHECKLIST
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Before entering any trade, run through these 9 checks:
① Signal showing CALL or PUT? (not just Watching)
② Score at or above your threshold?
③ On the correct side of VWAP?
④ MTF at least 2/3 aligned?
⑤ Channel zone in a reasonable position? (avoid Above +2σ for CALLs)
⑥ Fractal Bias showing "Above Res" (CALL) or "Below Sup" (PUT)?
⑦ RPZ showing a clear price target with enough room for your R:R?
⑧ What was the trigger event? (MSB and Sweep are strongest)
⑨ Can you fit your stop within the 1.5× ATR distance?
If you can answer yes to most of these — the setup has strong confluence.
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CREDITS & ACKNOWLEDGEMENTS
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APEX ELITE was built with deep respect for the Pine Script community. Several modules are directly inspired by the outstanding published work of:
🏆 LuxAlgo
Two modules in APEX ELITE are inspired by LuxAlgo's indicators:
→ Block G (Reversal Probability Zone) ports the core algorithmic logic
from LuxAlgo's "Reversal Probability Zone & Levels" — including the
exact pivot detection method, price/bar delta database, and percentile
target calculation. Licensed under CC BY-NC-SA 4.0.
→ Block L (Fractal Base) implements the fractal high/low detection and
support/resistance logic from LuxAlgo's "Fractal Base Indicator".
LuxAlgo's original indicators are published at:
pulsewire.com/u/LuxAlgo/
All credit for these algorithmic approaches belongs entirely to LuxAlgo.
🏆 BigBeluga
→ Block F (Liquidity HeatMap) is inspired by BigBeluga's
"Dynamic Liquidity HeatMap Profile" indicator. The volume-normalized,
pivot-based liquidity bias methodology is adapted from their approach.
BigBeluga's work can be found at:
pulsewire.com/u/BigBeluga/
Please visit and support their original publications directly.
🏆 Libertus
→ Block I (RSI Divergence) implements the divergence detection method
from Libertus's "RSI Divergences" indicator.
Thank you to all three creators for sharing their knowledge with the community.
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⚠️ DISCLAIMER — PLEASE READ IN FULL
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APEX ELITE is a technical analysis tool published for EDUCATIONAL and INFORMATIONAL purposes only.
❌ It does NOT constitute financial advice.
❌ It does NOT constitute investment advice.
❌ It does NOT constitute trading recommendations.
❌ It is NOT a solicitation to buy or sell any financial instrument.
All information displayed by this indicator is derived from historical price data and mathematical calculations. Past signal performance does NOT guarantee or predict future results. Financial markets are inherently unpredictable and all trading involves significant risk, including the potential loss of your entire invested capital.
The author of APEX ELITE is not a licensed financial advisor, broker, dealer, or investment professional. Nothing in this indicator or its documentation should be interpreted as personalized investment advice tailored to your individual financial situation, risk tolerance, or investment objectives.
YOU are solely responsible for all trading decisions you make.
Always conduct your own independent research and due diligence.
Always use proper risk management — including position sizing and stop-loss orders.
Never trade with money you cannot afford to lose.
If you are uncertain about any aspect of trading or investing, consult a licensed financial professional in your jurisdiction.
By adding this indicator to your chart, you acknowledge that you have read and understood this disclaimer, and that any trading decisions you make based on or influenced by this indicator are entirely your own responsibility.
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Pine Script v6 · Not Financial Advice · Educational Use Only
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EOF Indicator
Indicator
Strategy
Indicator
Indicator
Advanced Confluence DashboardAdvanced Confluence Dashboard - Multi-Indicator Technical Analysis Tool
OVERVIEW
The Advanced Confluence Dashboard is a comprehensive technical analysis tool designed to help traders identify high-probability trade setups by tracking multiple technical indicators simultaneously. The indicator displays up to 13 different technical confluences in an easy-to-read dashboard format, providing both individual signals and an overall market bias percentage. Switch between full table view and condensed view for maximum chart flexibility.
FEATURES
- 13 Technical Confluences: RSI, VWAP, EMA Cross (9/21), MACD, Stochastic, Trend (50 EMA), Bollinger Bands, ADX Strength, Price Momentum, Volume Breakout, VWAP Bands, 200 EMA, and Price Action (Higher Highs/Lower Lows)
- Real-time Confluence Scoring: Automatically calculates bullish vs bearish signal strength
- Multi-Timeframe Support: Analyze indicators on any timeframe while viewing your chart on another
- Customizable Display: Toggle individual indicators on/off, adjust table position, size, and transparency
- ATR Information: Optional ATR display for volatility-based position sizing
- Condensed View Mode: Ultra-minimal display showing only confluence score and ATR (perfect for scalpers who want maximum chart visibility)
- Full Table View: Detailed breakdown of each indicator's value and signal
- Color-Coded Signals: Green (bullish), red (bearish), white (neutral) for instant visual clarity
HOW IT WORKS
The indicator evaluates each enabled technical indicator and assigns it either a bullish or bearish signal based on its current state. The confluence score shows how many indicators are aligned in each direction, giving you a clear percentage-based view of market bias. For example, if 8 out of 13 indicators are bullish, you'll see a 62% LONG BIAS signal.
DISPLAY MODES
Full View: Shows all enabled indicators with their current values and signals in a detailed table format. Perfect for understanding exactly which indicators are bullish or bearish and why.
Condensed View: Shows only the confluence score (e.g., "4/13 LONG | 9/13 SHORT - SHORT BIAS 69%") and optional ATR information. This minimal display keeps your chart clean while still providing the essential confluence data you need for quick trading decisions. Ideal for scalpers and traders who want maximum chart space.
CONFLUENCES EXPLAINED
- RSI: Momentum oscillator (>50 bullish, <50 bearish, shows overbought/oversold)
- VWAP: Volume-weighted average price (above = bullish, below = bearish)
- EMA Cross: Fast EMA (9) vs Slow EMA (21) with price position
- MACD: Trend-following momentum (line above signal = bullish)
- Stochastic: Momentum oscillator (>50 bullish, <50 bearish)
- Trend (50 EMA): Price position relative to 50-period EMA
- Bollinger Bands: Volatility and mean reversion (above middle = bullish)
- ADX Strength: Trend strength indicator (shows strong trends)
- Price Momentum: Rate of price change over specified period
- Volume Breakout: Detects unusual volume with directional bias
- VWAP Bands: Standard deviation bands around VWAP
- 200 EMA: Long-term trend indicator
- Price Action: Higher Highs and Lower Lows pattern detection
SETTINGS
Timeframe Settings:
- Indicator Timeframe: Analyze indicators on a different timeframe than your chart
Display Options:
- Condensed View: Toggle between full table and minimal display
- Show ATR Info: Display/hide ATR information
- Table Position: 9 positions (top/middle/bottom + left/center/right)
- Text Size: Auto, tiny, small, normal, large, huge
- Table Transparency: 0-100%
- Border Width: 1-5 pixels
Confluence Toggles:
- Enable/disable any of the 13 confluences individually
- Confluence score automatically adjusts based on enabled indicators
Indicator Settings:
- RSI Length (default: 14)
- ATR Length (default: 14)
- Fast/Slow EMA (default: 9/21)
- Trend EMA (default: 50)
- Volume SMA Length (default: 20)
- Volume Breakout Multiplier (default: 2.0x)
- Bollinger Bands Length/StdDev (default: 20/2.0)
- ADX Length (default: 14)
- ADX Strength Threshold (default: 25)
- Momentum Length (default: 10)
IDEAL USE CASES
- Scalping: Quick identification of confluence for fast entries/exits - use condensed view for clean charts
- Day Trading: Multi-timeframe analysis for intraday setups
- Swing Trading: Confirmation of longer-term bias
- Risk Management: Higher confluence = higher probability trades
- Trade Filtering: Only take trades when confluence reaches your threshold
- Multi-Monitor Setups: Use condensed view on execution charts, full view on analysis charts
HOW TO USE
1. Add the indicator to your chart
2. Toggle on/off the confluences you prefer to use
3. Choose between Full View (detailed) or Condensed View (minimal)
4. Adjust the table position and size to your preference
5. Look for high confluence percentages (70%+ is strong bias)
6. Use the individual indicator signals (full view) to understand market structure
7. Combine with your trading strategy for entry/exit confirmation
TIPS
- Use Condensed View when scalping to keep your chart clean and uncluttered
- Switch to Full View when you need to analyze which specific indicators are conflicting
- Higher confluence doesn't guarantee success - always use proper risk management
- Consider using 60%+ confluence as a minimum threshold for trades
- Pay attention to which specific indicators are aligned vs conflicting
- Use the ATR display for quick reference on position sizing
- Experiment with different timeframes to find what works for your style
- Disable indicators you don't use to simplify your confluence scoring
DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, trading advice, or any other type of advice. Trading and investing in financial markets involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before making any investment decisions. Indicator
Indicator
QQQ TimingThis is a trend-following position trading strategy designed for the QQQ and the leveraged ETF QLD (ProShares Ultra QQQ). The primary goal is to capture multi-month holds for maximal profit.
Key Instruments & Performance
The strategy performs best with QLD, which yields far superior results compared to QQQ.
TQQQ (triple-leveraged) results in higher drawdowns and is not the optimal choice.
Important: The system is not intended for use with other indexes, individual stocks, or investments (like crypto or gold), as performance can vary widely.
Buy Signals
The strategy's signals are rooted in the S&P 500 Index (SPX), as testing showed it provides more reliable triggers than using QQQ itself.
Primary Buy Signal (Credit to IBD/Mike Webster): The SPX triggers a buy when its low closes above the 21-day Exponential Moving Average (EMA) for three consecutive days.
Refinement with Downtrend Lines: During corrective or bear periods, results and drawdowns can be significantly improved by incorporating downtrend lines. These lines connect lower highs. The strategy waits for the price to close above a drawn downtrend line before executing a buy. This refinement can modify the primary signal, either by allowing for an earlier entry or, in some cases, completely nullifying a false signal until the trend change proves itself.
Risk Management & Exit Strategy
Initial Buy Risk: A 3.7% stop loss is applied immediately upon the initial entry.
Initial Exit Rule: An exit is required if the QQQ's low drops below the 50-day Simple Moving Average (SMA).
Note: The 3.7% stop often provides protection when the initial buy occurs below the 50-day SMA. However, if QQQ is already trading above its 50-day SMA at the time of the SPX signal (indicating relative strength), historically, it has been better to use the 50-day SMA rule to give the position more room to run.
Trend Exit (Profit-Taking): To stay in a strong trend for the optimal amount of time, the long position is exited when a moving average crossover to the downside is triggered, based around the 107-day Simple Moving Average (SMA). Strategy
US/SPY- Financial Regime Index Swing Strategy Credits: concept inspired by EdgeTools Bloomberg Financial Conditions Index (Proxy)
Improvements: eight component basket, inverse volatility weights, winsorization option( statistical technique used to limit the influence of outliers in a dataset by replacing extreme values with less extreme ones, rather than removing them entirely), slope and price gates, exit guards, table and gradients.
Summary in one paragraph
A macro regime swing strategy for index ETFs, futures, FX majors, and large cap equities on daily calculation with optional lower time execution. It acts only when a composite Financial Conditions proxy plus slope and an optional price filter align. Originality comes from an eight component macro basket with inverse volatility weights and winsorized return z scores that produce a portable yardstick.
Scope and intent
Markets: SPY and peers, ES futures, ACWI, liquid FX majors, BTC, large cap equities.
Timeframes: calculation daily by default, trade on any chart.
Default demo: SPY on Daily.
Purpose: convert broad financial conditions into clear swing bias and exits.
Originality and usefulness
Unique fusion: return z scores for eight liquid proxies with inverse volatility weighting and optional winsorization, then slope and price gates.
Failure mode addressed: false starts in chop and early shorts during easy liquidity.
Testability: all knobs are inputs and the table shows components and weights.
Portable yardstick: z scores center at zero so thresholds transfer across symbols.
Method overview in plain language
Base measures
Return basis: natural log return over a configurable window, standardized to a z score. Winsorization optional to cap extremes.
Components
EQ US and EQ GLB measure equity tone.
CREDIT uses LQD over HYG. Higher credit quality outperformance is risk off so sign is flipped after z score.
RATES2Y uses two year yield, sign flipped.
SLOPE uses ten minus two year yield spread.
USD uses DXY, sign flipped.
VOL uses VIX, sign flipped.
LIQ uses BIL over SPY, sign flipped.
Each component is smoothed by the composite EMA.
Fusion rule
Weighted sum where weights are equal or inverse volatility with exponent gamma, normalized to percent so they sum to one.
Signal rule
Long when composite crosses up the long threshold and its slope is positive and price is above the SMA filter, or when composite is above the configured always long floor.
Short when composite crosses down the short threshold and its slope is negative and price is below the SMA filter.
Long exit on cross down of the long exit line or on a fresh short signal.
Short exit on cross up of the short exit line or on a fresh long signal, or when composite falls below the force short exit guard.
What you will see on the chart
Markers on suggestion bars: L for long, S for short, LX and SX for exits.
Reference lines at zero and soft regime bands at plus one and minus one.
Optional background gradient by regime intensity.
Compact table with component z, weight percent, and composite readout.
Table fields and quick reading guide
Component: EQ US, EQ GLB, CREDIT, RATES2Y, SLOPE, USD, VOL, LIQ.
Z: current standardized value, green for positive risk tone where applicable.
Weight: contribution percent after normalization.
Composite: current index value.
Reading tip: a broadly green Z column with slope positive often precedes better long context.
Inputs with guidance
Setup
Calc timeframe: default Daily. Leave blank to inherit chart.
Lookback: 50 to 1500. Larger length stabilizes regimes and delays turns.
EMA smoothing: 1 to 200. Higher smooths noise and delays signals.
Normalization
Winsorize z at ±3: caps extremes to reduce one off shocks.
Return window for equities: 5 to 260. Shorter reacts faster.
Weighting
Weight lookback: 20 to 520.
Weight mode: Equal or InvVol.
InvVol exponent gamma: 0.1 to 3. Higher compresses noisy components more.
Signals
Trade side: Long Short or Both.
Entry threshold long and short: portable z thresholds.
Exit line long and short: soft exits that give back less.
Slope lookback bars: 1 to 20.
Always long floor bfci ≥ X: macro easy mode keep long.
Force short exit when bfci < Y: macro stress guard.
Confirm
Use price trend filter and Price SMA length.
View
Glow line and Show component table.
Symbols
SPY ACWI HYG LQD VIX DXY US02Y US10Y BIL are defaults and can be changed.
Realism and responsible publication
No performance claims. Past is not future.
Shapes can move intrabar and settle on close.
Execution is on standard candles only.
Honest limitations and failure modes
Major economic releases and illiquid sessions can break assumptions.
Very quiet regimes reduce contrast. Use longer windows or higher thresholds.
Component proxies are ETFs and indexes and cannot match a proprietary FCI exactly.
Strategy notice
Orders are simulated on standard candles. All security calls use lookahead off. Nonstandard chart types are not supported for strategies.
Entries and exits
Long rule: bfci cross above long threshold with positive slope and optional price filter OR bfci above the always long floor.
Short rule: bfci cross below short threshold with negative slope and optional price filter.
Exit rules: long exit on bfci cross below long exit or on a short signal. Short exit on bfci cross above short exit or on a long signal or on force close guard.
Position sizing
Percent of equity by default. Keep target risk per trade low. One percent is a sensible starting point. For this example we used 3% of the total capital
Commisions
We used a 0.05% comission and 5 tick slippage
Legal
Education and research only. Not investment advice. Test in simulation first. Use realistic costs.
Strategy
Strategy
TriAnchor Elastic Reversion US Market SPY and QQQ adaptedSummary in one paragraph
Mean-reversion strategy for liquid ETFs, index futures, large-cap equities, and major crypto on intraday to daily timeframes. It waits for three anchored VWAP stretches to become statistically extreme, aligns with bar-shape and breadth, and fades the move. Originality comes from fusing daily, weekly, and monthly AVWAP distances into a single ATR-normalized energy percentile, then gating with a robust Z-score and a session-safe gap filter.
Scope and intent
• Markets: SPY QQQ IWM NDX large caps liquid futures liquid crypto
• Timeframes: 5 min to 1 day
• Default demo: SPY on 60 min
• Purpose: fade stretched moves only when multi-anchor context and breadth agree
• Limits: strategy uses standard candles for signals and orders only
Originality and usefulness
• Unique fusion: tri-anchor AVWAP energy percentile plus robust Z of close plus shape-in-range gate plus breadth Z of SPY QQQ IWM
• Failure mode addressed: chasing extended moves and fading during index-wide thrusts
• Testability: each component is an input and visible in orders list via L and S tags
• Portable yardstick: distances are ATR-normalized so thresholds transfer across symbols
• Open source: method and implementation are disclosed for community review
Method overview in plain language
Base measures
• Range basis: ATR(length = atr_len) as the normalization unit
• Return basis: not used directly; we use rank statistics for stability
Components
• Tri-Anchor Energy: squared distances of price from daily, weekly, monthly AVWAPs, each divided by ATR, then summed and ranked to a percentile over base_len
• Robust Z of Close: median and MAD based Z to avoid outliers
• Shape Gate: position of close inside bar range to require capitulation for longs and exhaustion for shorts
• Breadth Gate: average robust Z of SPY QQQ IWM to avoid fading when the tape is one-sided
• Gap Shock: skip signals after large session gaps
Fusion rule
• All required gates must be true: Energy ≥ energy_trig_prc, |Robust Z| ≥ z_trig, Shape satisfied, Breadth confirmed, Gap filter clear
Signal rule
• Long: energy extreme, Z negative beyond threshold, close near bar low, breadth Z ≤ −breadth_z_ok
• Short: energy extreme, Z positive beyond threshold, close near bar high, breadth Z ≥ +breadth_z_ok
What you will see on the chart
• Standard strategy arrows for entries and exits
• Optional short-side brackets: ATR stop and ATR take profit if enabled
Inputs with guidance
Setup
• Base length: window for percentile ranks and medians. Typical 40 to 80. Longer smooths, shorter reacts.
• ATR length: normalization unit. Typical 10 to 20. Higher reduces noise.
• VWAP band stdev: volatility bands for anchors. Typical 2.0 to 4.0.
• Robust Z window: 40 to 100. Larger for stability.
• Robust Z entry magnitude: 1.2 to 2.2. Higher means stronger extremes only.
• Energy percentile trigger: 90 to 99.5. Higher limits signals to rare stretches.
• Bar close in range gate long: 0.05 to 0.25. Larger requires deeper capitulation for longs.
Regime and Breadth
• Use breadth gate: on when trading indices or broad ETFs.
• Breadth Z confirm magnitude: 0.8 to 1.8. Higher avoids fighting thrusts.
• Gap shock percent: 1.0 to 5.0. Larger allows more gaps to trade.
Risk — Short only
• Enable short SL TP: on to bracket shorts.
• Short ATR stop mult: 1.0 to 3.0.
• Short ATR take profit mult: 1.0 to 6.0.
Properties visible in this publication
• Initial capital: 25000USD
• Default order size: Percent of total equity 3%
• Pyramiding: 0
• Commission: 0.03 percent
• Slippage: 5 ticks
• Process orders on close: OFF
• Bar magnifier: OFF
• Recalculate after order is filled: OFF
• Calc on every tick: OFF
• request.security lookahead off where used
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• Fills and slippage vary by venue
• Shapes can move during bar formation and settle on close
• Standard candles only for strategies
Honest limitations and failure modes
• Economic releases or very thin liquidity can overwhelm mean-reversion logic
• Heavy gap regimes may require larger gap filter or TR-based tuning
• Very quiet regimes reduce signal contrast; extend windows or raise thresholds
Open source reuse and credits
• None
Strategy notice
Orders are simulated by PulseWire on standard candles. request.security uses lookahead off where applicable. Non-standard charts are not supported for execution.
Entries and exits
• Entry logic: as in Signal rule above
• Exit logic: short side optional ATR stop and ATR take profit via brackets; long side closes on opposite setup
• Risk model: ATR-based brackets on shorts when enabled
• Tie handling: stop first when both could be touched inside one bar
Dataset and sample size
• Test across your visible history. For robust inference prefer 100 plus trades. Strategy
Strategy
Quantum Flux Universal Strategy Summary in one paragraph
Quantum Flux Universal is a regime switching strategy for stocks, ETFs, index futures, major FX pairs, and liquid crypto on intraday and swing timeframes. It helps you act only when the normalized core signal and its guide agree on direction. It is original because the engine fuses three adaptive drivers into the smoothing gains itself. Directional intensity is measured with binary entropy, path efficiency shapes trend quality, and a volatility squash preserves contrast. Add it to a clean chart, watch the polarity lane and background, and trade from positive or negative alignment. For conservative workflows use on bar close in the alert settings when you add alerts in a later version.
Scope and intent
• Markets. Large cap equities and ETFs. Index futures. Major FX pairs. Liquid crypto
• Timeframes. One minute to daily
• Default demo used in the publication. QQQ on one hour
• Purpose. Provide a robust and portable way to detect when momentum and confirmation align, while dampening chop and preserving turns
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique concept or fusion. The novelty sits in the gain map. Instead of gating separate indicators, the model mixes three drivers into the adaptive gains that power two one pole filters. Directional entropy measures how one sided recent movement has been. Kaufman style path efficiency scores how direct the path has been. A volatility squash stabilizes step size. The drivers are blended into the gains with visible inputs for strength, windows, and clamps.
• What failure mode it addresses. False starts in chop and whipsaw after fast spikes. Efficiency and the squash reduce over reaction in noise.
• Testability. Every component has an input. You can lengthen or shorten each window and change the normalization mode. The polarity plot and background provide a direct readout of state.
• Portable yardstick. The core is normalized with three options. Z score, percent rank mapped to a symmetric range, and MAD based Z score. Clamp bounds define the effective unit so context transfers across symbols.
Method overview in plain language
The strategy computes two smoothed tracks from the chart price source. The fast track and the slow track use gains that are not fixed. Each gain is modulated by three drivers. A driver for directional intensity, a driver for path efficiency, and a driver for volatility. The difference between the fast and the slow tracks forms the raw flux. A small phase assist reduces lag by subtracting a portion of the delayed value. The flux is then normalized. A guide line is an EMA of a small lead on the flux. When the flux and its guide are both above zero, the polarity is positive. When both are below zero, the polarity is negative. Polarity changes create the trade direction.
Base measures
• Return basis. The step is the change in the chosen price source. Its absolute value feeds the volatility estimate. Mean absolute step over the window gives a stable scale.
• Efficiency basis. The ratio of net move to the sum of absolute step over the window gives a value between zero and one. High values mean trend quality. Low values mean chop.
• Intensity basis. The fraction of up moves over the window plugs into binary entropy. Intensity is one minus entropy, which maps to zero in uncertainty and one in very one sided moves.
Components
• Directional Intensity. Measures how one sided recent bars have been. Smoothed with RMA. More intensity increases the gain and makes the fast and slow tracks react sooner.
• Path Efficiency. Measures the straightness of the price path. A gamma input shapes the curve so you can make trend quality count more or less. Higher efficiency lifts the gain in clean trends.
• Volatility Squash. Normalizes the absolute step with Z score then pushes it through an arctangent squash. This caps the effect of spikes so they do not dominate the response.
• Normalizer. Three modes. Z score for familiar units, percent rank for a robust monotone map to a symmetric range, and MAD based Z for outlier resistance.
• Guide Line. EMA of the flux with a small lead term that counteracts lag without heavy overshoot.
Fusion rule
• Weighted sum of the three drivers with fixed weights visible in the code comments. Intensity has fifty percent weight. Efficiency thirty percent. Volatility twenty percent.
• The blend power input scales the driver mix. Zero means fixed spans. One means full driver control.
• Minimum and maximum gain clamps bound the adaptive gain. This protects stability in quiet or violent regimes.
Signal rule
• Long suggestion appears when flux and guide are both above zero. That sets polarity to plus one.
• Short suggestion appears when flux and guide are both below zero. That sets polarity to minus one.
• When polarity flips from plus to minus, the strategy closes any long and enters a short.
• When flux crosses above the guide, the strategy closes any short.
What you will see on the chart
• White polarity plot around the zero line
• A dotted reference line at zero named Zen
• Green background tint for positive polarity and red background tint for negative polarity
• Strategy long and short markers placed by the PulseWire engine at entry and at close conditions
• No table in this version to keep the visual clean and portable
Inputs with guidance
Setup
• Price source. Default ohlc4. Stable for noisy symbols.
• Fast span. Typical range 6 to 24. Raising it slows the fast track and can reduce churn. Lowering it makes entries more reactive.
• Slow span. Typical range 20 to 60. Raising it lengthens the baseline horizon. Lowering it brings the slow track closer to price.
Logic
• Guide span. Typical range 4 to 12. A small guide smooths without eating turns.
• Blend power. Typical range 0.25 to 0.85. Raising it lets the drivers modulate gains more. Lowering it pushes behavior toward fixed EMA style smoothing.
• Vol window. Typical range 20 to 80. Larger values calm the volatility driver. Smaller values adapt faster in intraday work.
• Efficiency window. Typical range 10 to 60. Larger values focus on smoother trends. Smaller values react faster but accept more noise.
• Efficiency gamma. Typical range 0.8 to 2.0. Above one increases contrast between clean trends and chop. Below one flattens the curve.
• Min alpha multiplier. Typical range 0.30 to 0.80. Lower values increase smoothing when the mix is weak.
• Max alpha multiplier. Typical range 1.2 to 3.0. Higher values shorten smoothing when the mix is strong.
• Normalization window. Typical range 100 to 300. Larger values reduce drift in the baseline.
• Normalization mode. Z score, percent rank, or MAD Z. Use MAD Z for outlier heavy symbols.
• Clamp level. Typical range 2.0 to 4.0. Lower clamps reduce the influence of extreme runs.
Filters
• Efficiency filter is implicit in the gain map. Raising efficiency gamma and the efficiency window increases the preference for clean trends.
• Micro versus macro relation is handled by the fast and slow spans. Increase separation for swing, reduce for scalping.
• Location filter is not included in v1.0. If you need distance gates from a reference such as VWAP or a moving mean, add them before publication of a new version.
Alerts
• This version does not include alertcondition lines to keep the core minimal. If you prefer alerts, add names Long Polarity Up, Short Polarity Down, Exit Short on Flux Cross Up in a later version and select on bar close for conservative workflows.
Strategy has been currently adapted for the QQQ asset with 30/60min timeframe.
For other assets may require new optimization
Properties visible in this publication
• Initial capital 25000
• Base currency Default
• Default order size method percent of equity with value 5
• Pyramiding 1
• Commission 0.05 percent
• Slippage 10 ticks
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Honest limitations and failure modes
• Past results do not guarantee future outcomes
• Economic releases, circuit breakers, and thin books can break the assumptions behind intensity and efficiency
• Gap heavy symbols may benefit from the MAD Z normalization
• Very quiet regimes can reduce signal contrast. Use longer windows or higher guide span to stabilize context
• Session time is the exchange time of the chart
• If both stop and target can be hit in one bar, tie handling would matter. This strategy has no fixed stops or targets. It uses polarity flips for exits. If you add stops later, declare the preference
Open source reuse and credits
• None beyond public domain building blocks and Pine built ins such as EMA, SMA, standard deviation, RMA, and percent rank
• Method and fusion are original in construction and disclosure
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Strategy add on block
Strategy notice
Orders are simulated by the PulseWire engine on standard candles. No request.security() calls are used.
Entries and exits
• Entry logic. Enter long when both the normalized flux and its guide line are above zero. Enter short when both are below zero
• Exit logic. When polarity flips from plus to minus, close any long and open a short. When the flux crosses above the guide line, close any short
• Risk model. No initial stop or target in v1.0. The model is a regime flipper. You can add a stop or trail in later versions if needed
• Tie handling. Not applicable in this version because there are no fixed stops or targets
Position sizing
• Percent of equity in the Properties panel. Five percent is the default for examples. Risk per trade should not exceed five to ten percent of equity. One to two percent is a common choice
Properties used on the published chart
• Initial capital 25000
• Base currency Default
• Default order size percent of equity with value 5
• Pyramiding 1
• Commission 0.05 percent
• Slippage 10 ticks
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Dataset and sample size
• Test window Jan 2, 2014 to Oct 16, 2025 on QQQ one hour
• Trade count in sample 324 on the example chart
Release notes template for future updates
Version 1.1.
• Add alertcondition lines for long, short, and exit short
• Add optional table with component readouts
• Add optional stop model with a distance unit expressed as ATR or a percent of price
Notes. Backward compatibility Yes. Inputs migrated Yes. Strategy
Adaptive Trend Breaks Adaptive Trend Breaks
## WHAT IT DOES
This script is a modified and enhanced version of "Trendline Breakouts With Targets" concept by ChartPrime.
Adaptive Trend Breaks (ATB) is a trendline breakout system optimized for scalping liquid futures contracts. The indicator automatically draws dynamic support and resistance trendlines based on pivot points, then generates trade signals when price breaks through these levels with confirmation filters. It includes automated target and stop-loss placement with real-time P&L tracking in dollars.
## HOW IT WORKS
**Trendline Detection Method:**
The indicator uses pivot high/low detection to identify significant price turning points. When a new pivot forms, it calculates the slope between consecutive pivots to draw dynamic trendlines. These lines extend forward based on the established trend angle, creating actionable support and resistance zones.
**Band System:**
Around each trendline, the script creates a "band" using a volatility-adjusted calculation: `ATR(14) * 0.2 * bandwidth multiplier / 2`. This adaptive band accounts for current market conditions - wider during volatile periods, tighter during quiet markets.
**Breakout Logic:**
A breakout signal triggers when:
1. Price closes beyond the trendline + band zone
2. Volume exceeds the 20-period moving average by your set multiplier (default 1.2x)
3. Price is within Regular Trading Hours (9:30-16:00 EST) if session filter enabled
4. Current ATR meets minimum volatility threshold (prevents trading dead markets)
**Target & Stop Calculation:**
Upon breakout confirmation:
- **Entry**: Trendline breach point
- **Target**: Entry ± (bandwidth × target multiplier) - default 8x for quick scalps
- **Stop**: Entry ± (bandwidth × stop multiplier) - default 8x for 1:1 risk/reward
- Multipliers adjust automatically to market volatility through the ATR-based band
**P&L Conversion:**
The script converts point movements to dollars using:
```
Dollar P&L = (Price Points × Contract Point Value × Quantity)
```
For example, a 10-point NQ move with 2 contracts = 10 × $20 × 2 = $400
## HOW TO USE IT
**Setup:**
1. Select your instrument (NQ/ES/YM/RTY) - point values auto-configure
2. Set contract quantity for accurate dollar P&L
3. Choose pivot period (lower = more signals but more noise, default 5 for scalping)
4. Adjust bandwidth multiplier if trendlines are too tight/loose (1-5 range)
**Filters Configuration:**
- **Volume Filter**: Requires breakout volume > moving average × multiplier. Increase multiplier (1.5-2.0) for higher conviction trades
- **Session Filter**: Enable to trade only RTH. Disable for 24-hour trading
- **ATR Filter**: Prevents signals during low volatility. Increase minimum % for more active markets only
**Risk Management:**
- Set target/stop multipliers based on your risk tolerance
- 8x bandwidth = approximately 1:1 risk/reward for most liquid futures
- Enable trailing stops for trend-following approach (moves stop to protect profits)
- Adjust line length to see targets further into the future
**Statistics Table:**
- Choose timeframe to analyze: all-time, today, this week, custom days
- Monitor win rate, profit factor, and net P&L in dollars
- Track long vs short performance separately
- See real-time unrealized P&L on active trades
**Reading Signals:**
- **Green triangle below bar** = Long breakout (resistance broken)
- **Red triangle above bar** = Short breakout (support broken)
- **White dashed line** = Entry price
- **Orange line** = Take profit target with dollar value
- **Red line** = Stop loss with dollar value
- **Green checkmark (✓)** = Target hit, winning trade
- **Red X (✗)** = Stop hit, losing trade
## WHAT IT DOES NOT DO
**Limitations to Understand:**
- Does not predict future trendline formations - it reacts to breakouts after they occur
- Historical trendlines disappear after breakout (not kept on chart for clarity)
- Requires sufficient volatility - may not signal in extremely quiet markets
- Volume filter requires exchange volume data (not available on all symbols)
- Statistics are indicator-based simulations, not actual trading results
- Does not account for slippage, commissions, or order fills
## BEST PRACTICES
**Recommended Settings by Market:**
- **NQ (Nasdaq)**: Default settings work well, consider volume multiplier 1.3-1.5
- **ES (S&P 500)**: Slightly slower, try period 7-8, volume 1.2
- **YM (Dow)**: Lower volatility, reduce bandwidth to 1.5-2
- **RTY (Russell)**: Higher volatility, increase bandwidth to 3-4
**Risk Management:**
- Never risk more than 2-3% of account per trade
- Use contract quantity calculator: Max Risk $ ÷ (Stop Distance × Point Value)
- Start with 1 contract while learning the system
- Backtest your specific timeframe and instrument before live trading
**Optimization Tips:**
- Increase pivot period (7-10) for fewer but higher-quality signals
- Raise volume multiplier (1.5-2.0) in choppy markets
- Lower target/stop multipliers (5-6x) for tighter profit taking
- Use trailing stops in strong trending conditions
- Disable session filter for overnight gaps and Asia session moves
## TECHNICAL DETAILS
**Key Calculations:**
- Pivot Detection: `ta.pivothigh(high, period, period/2)` and `ta.pivotlow(low, period, period/2)`
- Slope Calculation: `(newPivot - oldPivot) / (newTime - oldTime)`
- Adaptive Band: `min(ATR(14) * 0.2, close * 0.002) * multiplier / 2`
- Breakout Confirmation: Price crosses trendline + 10% of band threshold
**Data Requirements:**
- Minimum bars in view: 500 for proper pivot calculation
- Volume data required for volume filter accuracy
- Intraday timeframes recommended (1min - 15min) for scalping
- Works on any timeframe but optimized for fast execution
**Performance Metrics:**
All statistics calculate based on indicator signals:
- Tracks every signal as a trade from entry to TP/SL
- P&L in actual contract dollar values
- Win rate = (Winning trades / Total trades) × 100
- Profit factor = Gross profit / Gross loss
- Separates long/short performance for bias analysis
## IDEAL FOR
- Futures scalpers and day traders
- Traders who prefer visual trendline breakouts
- Those wanting automated TP/SL placement
- Traders tracking performance in dollar terms
- Multiple timeframe analysis (compare 1min vs 5min signals)
## NOT SUITABLE FOR
- Swing trading (targets too close)
- Stocks/forex without modifying point values
- Extremely low timeframes (<30 seconds) - too much noise
- Markets without volume data if using volume filter
- Illiquid contracts (signals may not execute at shown prices)
---
**Settings Summary:**
- Core: Period, bandwidth, extension, trendline style
- Filters: Volume, RTH session, ATR volatility
- Risk: R:R ratio, target/stop multipliers, trailing stop
- Display: Stats table position, size, colors
- Stats: Timeframe selection (all-time to custom days)
**License:** This indicator is published open-source under Mozilla Public License 2.0. You may use and modify the code with proper attribution.
**Disclaimer:** This indicator is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and test thoroughly before live trading.
---
## CREDITS & ATTRIBUTION
This script builds upon the "Trendline Breakouts With Targets" concept by ChartPrime with significant enhancements:
**Major Improvements Added:**
- **Futures-Specific Calculations**: Automated dollar P&L conversion using actual contract point values (NQ=$20, ES=$50, YM=$5, RTY=$50)
- **Advanced Statistics Engine**: Comprehensive performance tracking with customizable timeframe analysis (today, week, month, custom ranges)
- **Multi-Layer Filtering System**: Volume confirmation, RTH session filter, and ATR volatility filter to reduce false signals
- **Professional Trade Management**: Enhanced visual trade tracking with separate TP/SL lines, dollar value labels, and optional trailing stops
- **Optimized for Scalping**: Faster pivot periods (5 vs 10), tighter bands, and reduced extension bars for quick entries
Original trendline detection methodology by ChartPrime - used with modification under Mozilla Public License 2.0. Indicator
Indicator
TwinPulse Q Lead SPY x QQQ Intermarket Pulse 1HTwinPulse Q Lead is a concise one hour indicator for SPY and QQQ that converts three sources of market information into a single pulse line, a mode readout with BUY SELL WAIT, and compact alerts. It blends intermarket leadership between QQQ and SPY, intraday flow from the slope of session VWAP, and where the current price sits inside the regular trading hours range. The three components are normalized, fused, compressed to a stable range, and smoothed for clear thresholds. The aim is a readable intraday regime signal that helps you decide when to participate and when to stand aside.
The script is built with Pine v6, uses request security with lookahead off, and does not repaint. It is an indicator, not a strategy. It does not contain any solicitation, links, or outside references. The description is self contained and explains both logic and use so that any trader can understand the design without reading code.
What makes this original and useful
Intermarket leadership is measured directly from QQQ and SPY on your working timeframe using a Z score of the return spread. When growth is leading value heavy large caps, leadership turns positive. When it lags, leadership turns negative. This gives a real time read of the Nasdaq versus S and P tug of war that most day traders watch informally.
Intraday flow is taken from the slope of the session VWAP. A linear regression of VWAP over a short window captures whether value is rising or falling inside the day. Dividing by ATR normalizes slope by typical movement so that the signal is comparable across weeks.
Session position places price inside the current regular hours high to low. It answers whether the day is trading in the top half, the bottom half, or the middle. This is a simple but powerful context filter for breakouts and fades.
The three components are fused into one pulse, compressed with either hyperbolic tangent or softsign to keep values bounded, and then smoothed by a short EMA. This yields a stable range with a zero line so the eye can read shifts quickly.
The panel shows a human readable mode with reasons and a strength score. Traders who do not want to read lines can rely on a simple state and a compact justification that explains why the state is set.
This is not a mashup that simply overlays unrelated indicators. Each component was chosen to answer a distinct question that is common to SPY and QQQ intraday decision making. Leadership answers who is in charge, flow answers whether value inside the session is building or leaking, and position answers if price is pressing the extremes or circling the middle. The pulse ties the three together and prevents any single component from dominating.
How the calculations work
Leadership. Compute a short rate of change for SPY and QQQ. Subtract SPY from QQQ to get spread returns, then compute a rolling Z score over a longer window. Positive values mean QQQ is leading. Negative values mean SPY is leading.
Flow. Compute session VWAP on the active symbol. Regress VWAP over a short window to obtain a slope estimate. Divide by ATR to scale slope by current volatility so that a small rise on a quiet day is not treated the same as a small rise on a wild day.
Position. Track the highest high and lowest low since the start of regular hours. Place the current close inside that range on a zero to one scale, then recenter to a minus one to plus one scale. Positive means the top half of the day, negative means the bottom half.
Fusion. Multiply each component by a weight so users can emphasize or de emphasize leadership, flow, or position. Sum to a raw pulse.
Compression. Pass the raw pulse through a bounded function. Hyperbolic tangent is smooth and has natural saturation near the extremes. Softsign is faster and behaves like a smoother version of sign near zero. Compression avoids unbounded excursions and makes thresholds meaningful across days.
Smoothing. Apply a short EMA to the compressed pulse to reduce noise. This creates the main line called TwinPulse in the plot.
Thresholds. You can use static symmetric levels or adaptive levels. The adaptive option computes a mean and a standard deviation of the smoothed pulse over a user window, then sets upper and lower thresholds as mean plus or minus sigma times standard deviation. This allows thresholds to adjust across regimes. Static levels are still available for traders who want repeatable levels.
Events and mode. A long event fires when the smoothed pulse crosses the upper threshold with positive flow and any optional filters agree. A short event fires on the symmetric condition. The mode reads the current state rather than fire and forget. It returns BUY when the smoothed pulse is above the upper threshold with positive flow, SELL when the smoothed pulse is below the lower threshold with negative flow, otherwise WAIT. A cooldown controls how often events can fire so alerts do not spam during choppy periods.
Inputs and default values
The script ships with defaults chosen for SPY and QQQ on one hour charts.
Symbols. SPY and QQQ by default. You can switch to any pair. Many users may test IWM versus SPY for small cap reads.
Regular hours selector. On by default. This restricts the position factor to New York regular hours. Turn it off if you prefer full session behavior.
ROC length is three bars. Z score length is fifty bars. VWAP slope window is ten bars. ATR length is fourteen bars. Pulse smoothing length is three bars.
Compression mode. Choose hyperbolic tangent or softsign. Hyperbolic tangent is default.
Weights. Leadership and flow are one by default. Position is set to zero point seven to give a modest influence to where price sits inside the day.
Thresholds. Adaptive thresholds are on by default with a lookback of one hundred bars and a sigma width of zero point eight. Static levels at plus or minus zero point six are ready if you disable adaptive mode.
Filters. ADX filter is off by default. If you enable it, the script requires ADX above a user minimum before it will signal. Higher time frame confirmation is off by default. When enabled it compares the smoothed pulse on the confirm timeframe to zero and requires alignment for longs or shorts.
Cooldown. Three bars by default so that alerts do not trigger too frequently.
UI. Bar coloring is on by default. The panel is on by default and sits at the top right.
All request security calls use lookahead off and will not request future data. All persistent state variables are assigned in a way that prevents repainting. The indicator does not use non standard chart types in its logic.
How to use the indicator
Load a one hour chart of SPY or QQQ. Keep a clean chart so that the script output is easy to read.
Turn on regular hours if you want the session position to reflect the cash session. This is recommended for SPY and QQQ.
Watch the panel. Mode reads BUY or SELL or WAIT. The strength value is a simple vote based score that ranges from zero to one hundred. It counts leadership, flow, ADX if enabled, and higher time frame confirmation if enabled. You can use strength to filter weak states.
Consider action only when mode is BUY or SELL and the signal has not just fired on the last bar. The triangles mark where an event fired. Alerts use the same logic as the events. WAIT means stand aside.
To slow the system, enable ADX and set a higher minimum or enable higher time frame confirmation. To speed it up, disable the filters, disable adaptive thresholds, or tighten the sigma width.
When publishing, use a clean chart with only this indicator. Show the symbol and timeframe clearly and make sure the plot legend is visible. If you add drawings on the chart, only include ones that help readers understand the output.
Publication notes and compliance
This description is written in English. The title uses ASCII and only uses capital letters for common abbreviations. The script is original and explains how and why the components work together. There are no links or promotional material. The script does not claim performance. It does not use lookahead. The panel and alerts exist to help a human read and act with discipline. The indicator can be published as open source or as protected. If you choose protected, the description still allows readers to understand how the logic works without access to the code.
If you later convert the logic into a strategy for publication, use realistic commission and slippage, risk no more than a small share of equity per trade, and choose a dataset that yields a large enough sample. Explain any deviations from these default recommendations in your strategy description. Do not publish results from non standard chart types since they can mislead readers on signal timing.
Limitations and risks
Intermarket leadership is a relative measure. There are hours when both SPY and QQQ fall while leadership remains positive. Treat leadership as a context, not a stand alone trigger.
VWAP slope is a path measure inside the session. It can flip several times on a choppy day. That is why the script uses a short smoothing and an optional cooldown. Use ADX or higher time frame confirmation to avoid the worst chop.
Session position assumes a meaningful regular hours range. On half days or around openings with gaps the position factor can be less informative. If this bothers you, reduce the weight of position or turn it off.
Compression and smoothing introduce lag by design. The goal is stability and clarity. If you want earlier but noisier signals, reduce smoothing and weights, and use static thresholds.
No indicator guarantees future results. TwinPulse Q Lead is a decision aid. It should be combined with your risk rules, position size policy, and a clear exit plan. Past behavior is not a promise for the future.
Frequently asked questions
What symbols are supported. Any symbol can be used as the chart symbol. Leadership uses the two user symbols which default to SPY and QQQ. Many traders may try IWM versus SPY or DIA versus SPY.
Can I change the timeframe. Yes, but the design target is one hour. On very short timeframes the VWAP slope becomes very sensitive and you should consider stronger filters.
Does the script repaint. No. It uses request security with lookahead off and the panel updates on the last bar only. Events are based on bar close conditions unless you attach alerts on any alert function call which will still respect the logic without looking into the future.
How are the strength numbers built. The strength score is the share of aligned votes across leadership, flow, ADX if enabled, and higher time frame confirmation if enabled. A value near one hundred means many filters agree. A value near fifty means partial alignment. It is not a probability or an accuracy number.
Can I use non standard chart types. You can view the indicator on them but do not publish signals from non standard chart types because that can mislead readers about timing. Use classic candles or bars when you publish and when you test.
Why do I sometimes see BUY but the price is not moving. A BUY mode requires pulse above the upper threshold and positive flow. It does not require higher highs immediately. Treat BUY as a permission to look for entries using your own execution rules. Indicator
BOCS Channel Scalper Indicator - Mean Reversion Alert System# BOCS Channel Scalper Indicator - Mean Reversion Alert System
## WHAT THIS INDICATOR DOES:
This is a mean reversion trading indicator that identifies consolidation channels through volatility analysis and generates alert signals when price enters entry zones near channel boundaries. **This indicator version is designed for manual trading with comprehensive alert functionality.** Unlike automated strategies, this tool sends notifications (via popup, email, SMS, or webhook) when trading opportunities occur, allowing you to manually review and execute trades. The system assumes price will revert to the channel mean, identifying scalp opportunities as price reaches extremes and preparing to bounce back toward center.
## INDICATOR VS STRATEGY - KEY DISTINCTION:
**This is an INDICATOR with alerts, not an automated strategy.** It does not execute trades automatically. Instead, it:
- Displays visual signals on your chart when entry conditions are met
- Sends customizable alerts to your device/email when opportunities arise
- Shows TP/SL levels for reference but does not place orders
- Requires you to manually enter and exit positions based on signals
- Works with all PulseWire subscription levels (alerts included on all plans)
**For automated trading with backtesting**, use the strategy version. For manual control with notifications, use this indicator version.
## ALERT CAPABILITIES:
This indicator includes four distinct alert conditions that can be configured independently:
**1. New Channel Formation Alert**
- Triggers when a fresh BOCS channel is identified
- Message: "New BOCS channel formed - potential scalp setup ready"
- Use this to prepare for upcoming trading opportunities
**2. Long Scalp Entry Alert**
- Fires when price touches the long entry zone
- Message includes current price, calculated TP, and SL levels
- Notification example: "LONG scalp signal at 24731.75 | TP: 24743.2 | SL: 24716.5"
**3. Short Scalp Entry Alert**
- Fires when price touches the short entry zone
- Message includes current price, calculated TP, and SL levels
- Notification example: "SHORT scalp signal at 24747.50 | TP: 24735.0 | SL: 24762.75"
**4. Any Entry Signal Alert**
- Combined alert for both long and short entries
- Use this if you want a single alert stream for all opportunities
- Message: "BOCS Scalp Entry: at "
**Setting Up Alerts:**
1. Add indicator to chart and configure settings
2. Click the Alert (⏰) button in PulseWire toolbar
3. Select "BOCS Channel Scalper" from condition dropdown
4. Choose desired alert type (Long, Short, Any, or Channel Formation)
5. Set "Once Per Bar Close" to avoid false signals during bar formation
6. Configure delivery method (popup, email, webhook for automation platforms)
7. Save alert - it will fire automatically when conditions are met
**Alert Message Placeholders:**
Alerts use PulseWire's dynamic placeholder system:
- {{ticker}} = Symbol name (e.g., NQ1!)
- {{close}} = Current price at signal
- {{plot_1}} = Calculated take profit level
- {{plot_2}} = Calculated stop loss level
These placeholders populate automatically, creating detailed notification messages without manual configuration.
## KEY DIFFERENCE FROM ORIGINAL BOCS:
**This indicator is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities:
- **Original BOCS**: 1-3 signals per channel (only on breakout)
- **Scalper Indicator**: 5-15+ signals per channel (every touch of entry zones)
- **Trade Style**: Mean reversion vs trend following
- **Hold Time**: Seconds to minutes vs minutes to hours
- **Best Markets**: Ranging/choppy conditions vs trending breakouts
This makes the indicator ideal for active day traders who want continuous alert opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased signal frequency also means higher potential commission costs and requires disciplined trade selection when acting on alerts.
## TECHNICAL METHODOLOGY:
### Price Normalization Process:
The indicator normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis.
### Volatility Detection:
A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The indicator uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars).
### Channel Formation Logic:
When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The indicator tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas.
### Entry Signal Generation:
The indicator uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%):
- **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2)
- **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2)
Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. Visual markers (arrows and labels) appear on chart, and configured alerts fire immediately.
### Cooldown Filter:
An optional cooldown period (measured in bars) prevents alert spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long alert will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period.
### ATR Volatility Filter:
The indicator includes a multi-timeframe ATR filter to avoid alerts during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while viewing 5-minute charts). The filter compares current ATR to a user-defined minimum threshold:
- If ATR ≥ threshold: Alerts enabled
- If ATR < threshold: No alerts fire
This prevents notifications during dead zones where mean reversion is unreliable due to insufficient price movement. The ATR status is displayed in the info table with visual confirmation (✓ or ✗).
### Take Profit Calculation:
Two TP methods are available:
**Fixed Points Mode**:
- Long TP = Entry + (TP_Ticks × syminfo.mintick)
- Short TP = Entry - (TP_Ticks × syminfo.mintick)
**Channel Percentage Mode**:
- Long TP = Entry + (ChannelRange × TP_Percent)
- Short TP = Entry - (ChannelRange × TP_Percent)
Default 50% targets the channel midline, a natural mean reversion target. These levels are displayed as visual lines with labels and included in alert messages for reference when manually placing orders.
### Stop Loss Placement:
Stop losses are calculated just outside the channel boundary by a user-defined tick offset:
- Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick)
- Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick)
This logic assumes channel breaks invalidate the mean reversion thesis. SL levels are displayed on chart and included in alert notifications as suggested stop placement.
### Channel Breakout Management:
Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations.
## INPUT PARAMETERS:
### Channel Settings:
- **Nested Channels**: Allow multiple overlapping channels vs single channel
- **Normalization Length**: Lookback for high/low calculation (1-500, default 100)
- **Box Detection Length**: Period for volatility detection (1-100, default 14)
### Scalping Settings:
- **Enable Long Scalps**: Toggle long alert generation on/off
- **Enable Short Scalps**: Toggle short alert generation on/off
- **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%)
- **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5)
- **Cooldown Period (Bars)**: Minimum spacing between alerts (0 = no cooldown)
### ATR Filter:
- **Enable ATR Filter**: Toggle volatility filter on/off
- **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.)
- **ATR Length**: Smoothing period (1-100, default 14)
- **Min ATR Value**: Threshold for alert enablement (0.1+, default 10.0)
### Take Profit Settings:
- **TP Method**: Choose Fixed Points or % of Channel
- **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30)
- **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%)
### Appearance:
- **Show Entry Zones**: Toggle zone labels on channels
- **Show Info Table**: Display real-time indicator status
- **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right)
- **Long Color**: Customize long signal color (default: darker green for readability)
- **Short Color**: Customize short signal color (default: red)
- **TP/SL Colors**: Customize take profit and stop loss line colors
- **Line Length**: Visual length of TP/SL reference lines (5-200 bars)
## VISUAL INDICATORS:
- **Channel boxes** with semi-transparent fill showing consolidation zones
- **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼"
- **Entry signal arrows** below/above bars marking long/short alerts
- **TP/SL reference lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL)
- **Info table** showing channel status, last signal, entry/TP/SL prices, risk/reward ratio, and ATR filter status
- **Visual confirmation** when alerts fire via on-chart markers synchronized with notifications
## HOW TO USE:
### For 1-3 Minute Scalping with Alerts (NQ/ES):
- ATR Timeframe: "1" (1-minute)
- ATR Min Value: 10.0 (for NQ), adjust per instrument
- Entry Zone %: 20-25%
- TP Method: Fixed Points, 20-40 ticks
- SL Offset: 5-10 ticks
- Cooldown: 2-3 bars to reduce alert spam
- **Alert Setup**: Configure "Any Entry Signal" for combined long/short notifications
- **Execution**: When alert fires, verify chart visuals, then manually place limit order at entry zone with provided TP/SL levels
### For 5-15 Minute Day Trading with Alerts:
- ATR Timeframe: "5" or match chart
- ATR Min Value: Adjust to instrument (test 8-15 for NQ)
- Entry Zone %: 20-30%
- TP Method: % of Channel, 40-60%
- SL Offset: 5-10 ticks
- Cooldown: 3-5 bars
- **Alert Setup**: Configure separate "Long Scalp Entry" and "Short Scalp Entry" alerts if you trade directionally based on bias
- **Execution**: Review channel structure on alert, confirm ATR filter shows ✓, then enter manually
### For 30-60 Minute Swing Scalping with Alerts:
- ATR Timeframe: "15" or "30"
- ATR Min Value: Lower threshold for broader market
- Entry Zone %: 25-35%
- TP Method: % of Channel, 50-70%
- SL Offset: 10-15 ticks
- Cooldown: 5+ bars or disable
- **Alert Setup**: Use "New Channel Formation" to prepare for setups, then "Any Entry Signal" for execution alerts
- **Execution**: Larger timeframes allow more analysis time between alert and entry
### Webhook Integration for Semi-Automation:
- Configure alert webhook URL to connect with platforms like TradersPost, PulseWire Paper Trading, or custom automation
- Alert message includes all necessary order parameters (direction, entry, TP, SL)
- Webhook receives structured data when signal fires
- External platform can auto-execute based on alert payload
- Still maintains manual oversight vs full strategy automation
## USAGE CONSIDERATIONS:
- **Manual Discipline Required**: Alerts provide opportunities but execution requires judgment. Not all alerts should be taken - consider market context, trend, and channel quality
- **Alert Timing**: Alerts fire on bar close by default. Ensure "Once Per Bar Close" is selected to avoid false signals during bar formation
- **Notification Delivery**: Mobile/email alerts may have 1-3 second delay. For immediate execution, use desktop popups or webhook automation
- **Cooldown Necessity**: Without cooldown, rapidly touching price action can generate excessive alerts. Start with 3-bar cooldown and adjust based on alert volume
- **ATR Filter Impact**: Enabling ATR filter dramatically reduces alert count but improves quality. Track filter status in info table to understand when you're receiving fewer alerts
- **Commission Awareness**: High alert frequency means high potential trade count. Calculate if your commission structure supports frequent scalping before acting on all alerts
## COMPATIBLE MARKETS:
Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features are not included in this indicator version. Multi-timeframe ATR requires higher-tier PulseWire subscription for request.security() functionality on timeframes below chart timeframe.
## KNOWN LIMITATIONS:
- **Indicator does not execute trades** - alerts are informational only; you must manually place all orders
- **Alert delivery depends on PulseWire infrastructure** - delays or failures possible during platform issues
- **No position tracking** - indicator doesn't know if you're in a trade; you must manage open positions independently
- **TP/SL levels are reference only** - you must manually set these on your broker platform; they are not live orders
- **Immediate touch entry can generate many alerts** in choppy zones without adequate cooldown
- **Channel deletion at 10-tick breaks** may be too aggressive or lenient depending on instrument tick size
- **ATR filter from lower timeframes** requires PulseWire Premium/Pro+ for request.security()
- **Mean reversion logic fails** in strong breakout scenarios - alerts will fire but trades may hit stops
- **No partial closing capability** - full position management is manual; you determine scaling out
- **Alerts do not account for gaps** or overnight price changes; morning alerts may be stale
## RISK DISCLOSURE:
Trading involves substantial risk of loss. This indicator provides signals for educational and informational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Mean reversion strategies can experience extended drawdowns during trending markets. Alerts are not guaranteed to be profitable and should be combined with your own analysis. Stop losses may not fill at intended levels during extreme volatility or gaps. Never trade with capital you cannot afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Always verify alerts against current market conditions before executing trades manually.
## ACKNOWLEDGMENT & CREDITS:
This indicator is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the PulseWire community.
Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based alert generation, comprehensive alert condition system with customizable notifications, multi-timeframe ATR volatility filtering, cooldown period for alert management, dual TP methods (fixed points vs channel percentage), visual TP/SL reference lines, and real-time status monitoring table. This indicator version is specifically designed for manual traders who prefer alert-based decision making over automated execution. Indicator
BOCS Channel Scalper Strategy - Automated Mean Reversion System# BOCS Channel Scalper Strategy - Automated Mean Reversion System
## WHAT THIS STRATEGY DOES:
This is an automated mean reversion trading strategy that identifies consolidation channels through volatility analysis and executes scalp trades when price enters entry zones near channel boundaries. Unlike breakout strategies, this system assumes price will revert to the channel mean, taking profits as price bounces back from extremes. Position sizing is fully customizable with three methods: fixed contracts, percentage of equity, or fixed dollar amount. Stop losses are placed just outside channel boundaries with take profits calculated either as fixed points or as a percentage of channel range.
## KEY DIFFERENCE FROM ORIGINAL BOCS:
**This strategy is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities:
- **Original BOCS**: 1-3 signals per channel (only on breakout)
- **Scalper Version**: 5-15+ signals per channel (every touch of entry zones)
- **Trade Style**: Mean reversion vs trend following
- **Hold Time**: Seconds to minutes vs minutes to hours
- **Best Markets**: Ranging/choppy conditions vs trending breakouts
This makes the scalper ideal for active day traders who want continuous opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased trade frequency also means higher commission costs and requires tighter risk management.
## TECHNICAL METHODOLOGY:
### Price Normalization Process:
The strategy normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis.
### Volatility Detection:
A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars).
### Channel Formation Logic:
When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The strategy tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas.
### Entry Signal Generation:
The strategy uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%):
- **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2)
- **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2)
Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. This captures mean reversion opportunities as price reaches channel extremes.
### Cooldown Filter:
An optional cooldown period (measured in bars) prevents signal spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long signal will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period.
### ATR Volatility Filter:
The strategy includes a multi-timeframe ATR filter to avoid trading during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while trading on 5-minute charts). The filter compares current ATR to a user-defined minimum threshold:
- If ATR ≥ threshold: Trading enabled
- If ATR < threshold: No signals fire
This prevents entries during dead zones where mean reversion is unreliable due to insufficient price movement.
### Take Profit Calculation:
Two TP methods are available:
**Fixed Points Mode**:
- Long TP = Entry + (TP_Ticks × syminfo.mintick)
- Short TP = Entry - (TP_Ticks × syminfo.mintick)
**Channel Percentage Mode**:
- Long TP = Entry + (ChannelRange × TP_Percent)
- Short TP = Entry - (ChannelRange × TP_Percent)
Default 50% targets the channel midline, a natural mean reversion target. Larger percentages aim for opposite channel edge.
### Stop Loss Placement:
Stop losses are placed just outside the channel boundary by a user-defined tick offset:
- Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick)
- Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick)
This logic assumes channel breaks invalidate the mean reversion thesis. If price breaks through, the range is no longer valid and position exits.
### Trade Execution Logic:
When entry conditions are met (price in zone, cooldown satisfied, ATR filter passed, no existing position):
1. Calculate entry price at zone boundary
2. Calculate TP and SL based on selected method
3. Execute strategy.entry() with calculated position size
4. Place strategy.exit() with TP limit and SL stop orders
5. Update info table with active trade details
The strategy enforces one position at a time by checking strategy.position_size == 0 before entry.
### Channel Breakout Management:
Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations.
### Position Sizing System:
Three methods calculate position size:
**Fixed Contracts**:
- Uses exact contract quantity specified in settings
- Best for futures traders (e.g., "trade 2 NQ contracts")
**Percentage of Equity**:
- position_size = (strategy.equity × equity_pct / 100) / close
- Dynamically scales with account growth
**Cash Amount**:
- position_size = cash_amount / close
- Maintains consistent dollar exposure regardless of price
## INPUT PARAMETERS:
### Position Sizing:
- **Position Size Type**: Choose Fixed Contracts, % of Equity, or Cash Amount
- **Number of Contracts**: Fixed quantity per trade (1-1000)
- **% of Equity**: Percentage of account to allocate (1-100%)
- **Cash Amount**: Dollar value per position ($100+)
### Channel Settings:
- **Nested Channels**: Allow multiple overlapping channels vs single channel
- **Normalization Length**: Lookback for high/low calculation (1-500, default 100)
- **Box Detection Length**: Period for volatility detection (1-100, default 14)
### Scalping Settings:
- **Enable Long Scalps**: Toggle long entries on/off
- **Enable Short Scalps**: Toggle short entries on/off
- **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%)
- **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5)
- **Cooldown Period (Bars)**: Minimum spacing between signals (0 = no cooldown)
### ATR Filter:
- **Enable ATR Filter**: Toggle volatility filter on/off
- **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.)
- **ATR Length**: Smoothing period (1-100, default 14)
- **Min ATR Value**: Threshold for trade enablement (0.1+, default 10.0)
### Take Profit Settings:
- **TP Method**: Choose Fixed Points or % of Channel
- **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30)
- **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%)
### Appearance:
- **Show Entry Zones**: Toggle zone labels on channels
- **Show Info Table**: Display real-time strategy status
- **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right)
- **Color Settings**: Customize long/short/TP/SL colors
## VISUAL INDICATORS:
- **Channel boxes** with semi-transparent fill showing consolidation zones
- **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼"
- **Entry signal arrows** below/above bars marking long/short entries
- **Active TP/SL lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL)
- **Info table** showing position status, channel state, last signal, entry/TP/SL prices, and ATR status
## HOW TO USE:
### For 1-3 Minute Scalping (NQ/ES):
- ATR Timeframe: "1" (1-minute)
- ATR Min Value: 10.0 (for NQ), adjust per instrument
- Entry Zone %: 20-25%
- TP Method: Fixed Points, 20-40 ticks
- SL Offset: 5-10 ticks
- Cooldown: 2-3 bars
- Position Size: 1-2 contracts
### For 5-15 Minute Day Trading:
- ATR Timeframe: "5" or match chart
- ATR Min Value: Adjust to instrument (test 8-15 for NQ)
- Entry Zone %: 20-30%
- TP Method: % of Channel, 40-60%
- SL Offset: 5-10 ticks
- Cooldown: 3-5 bars
- Position Size: Fixed contracts or 5-10% equity
### For 30-60 Minute Swing Scalping:
- ATR Timeframe: "15" or "30"
- ATR Min Value: Lower threshold for broader market
- Entry Zone %: 25-35%
- TP Method: % of Channel, 50-70%
- SL Offset: 10-15 ticks
- Cooldown: 5+ bars or disable
- Position Size: % of equity recommended
## BACKTEST CONSIDERATIONS:
- Strategy performs best in ranging, mean-reverting markets
- Strong trending markets produce more stop losses as price breaks channels
- ATR filter significantly reduces trade count but improves quality during low volatility
- Cooldown period trades signal quantity for signal quality
- Commission and slippage materially impact sub-5-minute timeframe performance
- Shorter timeframes require tighter entry zones (15-20%) to catch quick reversions
- % of Channel TP adapts better to varying channel sizes than fixed points
- Fixed contract sizing recommended for consistent risk per trade in futures
**Backtesting Parameters Used**: This strategy was developed and tested using realistic commission and slippage values to provide accurate performance expectations. Recommended settings: Commission of $1.40 per side (typical for NQ futures through discount brokers), slippage of 2 ticks to account for execution delays on fast-moving scalp entries. These values reflect real-world trading costs that active scalpers will encounter. Backtest results without proper cost simulation will significantly overstate profitability.
## COMPATIBLE MARKETS:
Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features require data feed with volume information but are optional for core functionality.
## KNOWN LIMITATIONS:
- Immediate touch entry can fire multiple times in choppy zones without adequate cooldown
- Channel deletion at 10-tick breaks may be too aggressive or lenient depending on instrument tick size
- ATR filter from lower timeframes requires higher-tier PulseWire subscription (request.security limitation)
- Mean reversion logic fails in strong breakout scenarios leading to stop loss hits
- Position sizing via % of equity or cash amount calculates based on close price, may differ from actual fill price
- No partial closing capability - full position exits at TP or SL only
- Strategy does not account for gap openings or overnight holds
## RISK DISCLOSURE:
Trading involves substantial risk of loss. Past performance does not guarantee future results. This strategy is for educational purposes and backtesting only. Mean reversion strategies can experience extended drawdowns during trending markets. Stop losses may not fill at intended levels during extreme volatility or gaps. Thoroughly test on historical data and paper trade before risking real capital. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Automated trading systems can malfunction - monitor all live positions actively.
## ACKNOWLEDGMENT & CREDITS:
This strategy is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the PulseWire community.
Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based signals, multi-timeframe ATR volatility filtering, flexible position sizing (fixed/percentage/cash), cooldown period filtering, dual TP methods (fixed points vs channel percentage), automated strategy execution with exit management, and real-time position monitoring table. Strategy
BOCS AdaptiveBOCS Adaptive Strategy - Automated Volatility Breakout System
WHAT THIS STRATEGY DOES:
This is an automated trading strategy that detects consolidation patterns through volatility analysis and executes trades when price breaks out of these channels. Take-profit and stop-loss levels are calculated dynamically using Average True Range (ATR) to adapt to current market volatility. The strategy closes positions partially at the first profit target and exits the remainder at the second target or stop loss.
TECHNICAL METHODOLOGY:
Price Normalization Process:
The strategy begins by normalizing price to create a consistent measurement scale. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). The current close price is then normalized using the formula: (close - lowest_low) / (highest_high - lowest_low). This produces values between 0 and 1, allowing volatility analysis to work consistently across different instruments and price levels.
Volatility Detection:
A 14-period standard deviation is applied to the normalized price series. Standard deviation measures how much prices deviate from their average - higher values indicate volatility expansion, lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() functions to track when volatility reaches peaks and troughs over the detection length period (default 14 bars).
Channel Formation Logic:
When volatility crosses from a high level to a low level, this signals the beginning of a consolidation phase. The strategy records this moment using ta.crossover(upper, lower) and begins tracking the highest and lowest prices during the consolidation. These become the channel boundaries. The duration between the crossover and current bar must exceed 10 bars minimum to avoid false channels from brief volatility spikes. Channels are drawn using box objects with the recorded high/low boundaries.
Breakout Signal Generation:
Two detection modes are available:
Strong Closes Mode (default): Breakout occurs when the candle body midpoint math.avg(close, open) exceeds the channel boundary. This filters out wick-only breaks.
Any Touch Mode: Breakout occurs when the close price exceeds the boundary.
When price closes above the upper channel boundary, a bullish breakout signal generates. When price closes below the lower boundary, a bearish breakout signal generates. The channel is then removed from the chart.
ATR-Based Risk Management:
The strategy uses request.security() to fetch ATR values from a specified timeframe, which can differ from the chart timeframe. For example, on a 5-minute chart, you can use 1-minute ATR for more responsive calculations. The ATR is calculated using ta.atr(length) with a user-defined period (default 14).
Exit levels are calculated at the moment of breakout:
Long Entry Price = Upper channel boundary
Long TP1 = Entry + (ATR × TP1 Multiplier)
Long TP2 = Entry + (ATR × TP2 Multiplier)
Long SL = Entry - (ATR × SL Multiplier)
For short trades, the calculation inverts:
Short Entry Price = Lower channel boundary
Short TP1 = Entry - (ATR × TP1 Multiplier)
Short TP2 = Entry - (ATR × TP2 Multiplier)
Short SL = Entry + (ATR × SL Multiplier)
Trade Execution Logic:
When a breakout occurs, the strategy checks if trading hours filter is satisfied (if enabled) and if position size equals zero (no existing position). If volume confirmation is enabled, it also verifies that current volume exceeds 1.2 times the 20-period simple moving average.
If all conditions are met:
strategy.entry() opens a position using the user-defined number of contracts
strategy.exit() immediately places a stop loss order
The code monitors price against TP1 and TP2 levels on each bar
When price reaches TP1, strategy.close() closes the specified number of contracts (e.g., if you enter with 3 contracts and set TP1 close to 1, it closes 1 contract). When price reaches TP2, it closes all remaining contracts. If stop loss is hit first, the entire position exits via the strategy.exit() order.
Volume Analysis System:
The strategy uses ta.requestUpAndDownVolume(timeframe) to fetch up volume, down volume, and volume delta from a specified timeframe. Three display modes are available:
Volume Mode: Shows total volume as bars scaled relative to the 20-period average
Comparison Mode: Shows up volume and down volume as separate bars above/below the channel midline
Delta Mode: Shows net volume delta (up volume - down volume) as bars, positive values above midline, negative below
The volume confirmation logic compares breakout bar volume to the 20-period SMA. If volume ÷ average > 1.2, the breakout is classified as "confirmed." When volume confirmation is enabled in settings, only confirmed breakouts generate trades.
INPUT PARAMETERS:
Strategy Settings:
Number of Contracts: Fixed quantity to trade per signal (1-1000)
Require Volume Confirmation: Toggle to only trade signals with volume >120% of average
TP1 Close Contracts: Exact number of contracts to close at first target (1-1000)
Use Trading Hours Filter: Toggle to restrict trading to specified session
Trading Hours: Session input in HHMM-HHMM format (e.g., "0930-1600")
Main Settings:
Normalization Length: Lookback bars for high/low calculation (1-500, default 100)
Box Detection Length: Period for volatility peak/trough detection (1-100, default 14)
Strong Closes Only: Toggle between body midpoint vs close price for breakout detection
Nested Channels: Allow multiple overlapping channels vs single channel at a time
ATR TP/SL Settings:
ATR Timeframe: Source timeframe for ATR calculation (1, 5, 15, 60, etc.)
ATR Length: Smoothing period for ATR (1-100, default 14)
Take Profit 1 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 2.0)
Take Profit 2 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 3.0)
Stop Loss Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 1.0)
Enable Take Profit 2: Toggle second profit target on/off
VISUAL INDICATORS:
Channel boxes with semi-transparent fill showing consolidation zones
Green/red colored zones at channel boundaries indicating breakout areas
Volume bars displayed within channels using selected mode
TP/SL lines with labels showing both price level and distance in points
Entry signals marked with up/down triangles at breakout price
Strategy status table showing position, contracts, P&L, ATR values, and volume confirmation status
HOW TO USE:
For 2-Minute Scalping:
Set ATR Timeframe to "1" (1-minute), ATR Length to 12, TP1 Multiplier to 2.0, TP2 Multiplier to 3.0, SL Multiplier to 1.5. Enable volume confirmation and strong closes only. Use trading hours filter to avoid low-volume periods.
For 5-15 Minute Day Trading:
Set ATR Timeframe to match chart or use 5-minute, ATR Length to 14, TP1 Multiplier to 2.0, TP2 Multiplier to 3.5, SL Multiplier to 1.2. Volume confirmation recommended but optional.
For Hourly+ Swing Trading:
Set ATR Timeframe to 15-30 minute, ATR Length to 14-21, TP1 Multiplier to 2.5, TP2 Multiplier to 4.0, SL Multiplier to 1.5. Volume confirmation optional, nested channels can be enabled for multiple setups.
BACKTEST CONSIDERATIONS:
Strategy performs best during trending or volatility expansion phases
Consolidation-heavy or choppy markets produce more false signals
Shorter timeframes require wider stop loss multipliers due to noise
Commission and slippage significantly impact performance on sub-5-minute charts
Volume confirmation generally improves win rate but reduces trade frequency
ATR multipliers should be optimized for specific instrument characteristics
COMPATIBLE MARKETS:
Works on any instrument with price and volume data including forex pairs, stock indices, individual stocks, cryptocurrency, commodities, and futures contracts. Requires PulseWire data feed that includes volume for volume confirmation features to function.
KNOWN LIMITATIONS:
Stop losses execute via strategy.exit() and may not fill at exact levels during gaps or extreme volatility
request.security() on lower timeframes requires higher-tier PulseWire subscription
False breakouts inherent to breakout strategies cannot be completely eliminated
Performance varies significantly based on market regime (trending vs ranging)
Partial closing logic requires sufficient position size relative to TP1 close contracts setting
RISK DISCLOSURE:
Trading involves substantial risk of loss. Past performance of this or any strategy does not guarantee future results. This strategy is provided for educational purposes and automated backtesting. Thoroughly test on historical data and paper trade before risking real capital. Market conditions change and strategies that worked historically may fail in the future. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions.
ACKNOWLEDGMENT & CREDITS:
This strategy is built upon the channel detection methodology created by AlgoAlpha in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns and sharing this innovative technique with the PulseWire community. The enhancements added to the original concept include automated trade execution, multi-timeframe ATR-based risk management, partial position closing by contract count, volume confirmation filtering, and real-time position monitoring. Indicator
