Relative Momentum Rotation [CHE] Relative Momentum Rotation — Ranks assets by multi-horizon momentum for guided rotational selection with regime overlay
Summary
This indicator evaluates a universe of assets using a blended momentum measure across three time horizons, then ranks them to highlight top performers for potential portfolio rotation. It incorporates a regime filter to contextualize signals, tinting the background to indicate favorable or unfavorable market conditions and labeling transitions for awareness. By focusing on relative strength within a selectable universe, it helps identify leaders without relying on absolute thresholds, reducing noise from isolated trends and promoting disciplined asset switching.
Motivation: Why this design?
Traders often struggle with momentum signals that perform unevenly across market phases, such as overreacting in volatile periods or lagging in steady uptrends, leading to suboptimal rotations in multi-asset portfolios. The core idea of relative momentum rotation addresses this by comparing assets head-to-head within a defined group, blending short- and long-term changes to capture sustained strength while a regime overlay adds a macro layer to avoid fighting broader trends. This setup prioritizes peer-relative outperformance over standalone measures, aiding consistent selection in rotational strategies.
What’s different vs. standard approaches?
- Reference baseline: Traditional rate-of-change indicators track absolute price shifts over a single window, which can generate whipsaws in sideways markets or miss cross-asset opportunities.
- Architecture differences:
- Blends three distinct horizons into one composite score for a fuller momentum picture, rather than isolating one period.
- Applies ranking across a customizable universe (e.g., crypto or tech stocks) to emphasize relatives, not absolutes.
- Integrates a simple regime check via moving average crossover on a reference symbol, gating selections without overcomplicating the core logic.
- Outputs a dynamic table for visual ranking, plus subtle visual cues like background tints, instead of cluttered plots.
- Practical effect: Charts show clearer hierarchy among assets, with regime tints providing at-a-glance context—top ranks stand out more reliably in bull regimes, helping traders focus rotations without constant recalibration.
How it works (technical)
The indicator starts by assembling a list of symbols from the selected universe, including only those marked as active to keep the group focused. For each symbol, it gathers change rates over three specified horizons on a higher timeframe, blends them using user-defined weights (automatically normalized if they do not sum to one), and computes a single composite score. Scores are then ranked to select the top performers up to a set number, forming a rotation candidate list.
To add context, a regime state is determined by comparing the reference symbol's price to its moving average on daily bars—above signals a positive environment, below a negative one, with an option to invert this logic. The current chart's symbol is checked against the top list for inclusion status. All higher-timeframe data pulls are set to avoid lookahead bias, though updates may shift slightly until bars close. Persistent variables track the table state and prior regime to handle redraws efficiently, ensuring the display rebuilds only when the selection count changes.
Parameter Guide
Universe — Switches between predefined crypto or US-tech symbol sets for ranking peers. Default: Crypto. Trade-offs/Tips: Crypto for volatile assets; US-Tech for equities—match to your portfolio to avoid mismatched volatility.
Include Symbol 1–12 — Toggles individual symbols in the universe on or off. Default: Varies (true for top 10, false for extras). Trade-offs/Tips: Start with defaults for a balanced group; disable laggards to sharpen focus, but keep at least 5–8 for robust ranking.
Scoring Timeframe — Sets the aggregation period for momentum changes (e.g., monthly bars). Default: Monthly. Trade-offs/Tips: Monthly for long-term rotation; weekly for faster signals—increases noise if too short.
Weight 12m / 6m / 3m — Adjusts emphasis on long/medium/short horizons in the blend. Default: 0.50 / 0.30 / 0.20. Trade-offs/Tips: Heavier long-term for stability in trends; balance to fit asset class—test sums near 1.0 to avoid auto-normalization surprises.
ROC over MA instead of Close — Uses smoothed averages for change rates to reduce chop. Default: False. Trade-offs/Tips: Enable in noisy markets for fewer false tops; adds slight lag, so monitor for delayed rotations.
Top N to hold — Limits selections to this many highest-ranked assets. Default: 10. Trade-offs/Tips: Lower for concentrated bets (higher risk/reward); higher for diversification—align with your position sizing.
Mark current symbol if in Top N — Highlights if the chart's asset ranks in the selection. Default: True. Trade-offs/Tips: Useful for self-scanning; disable in multi-chart setups to declutter.
Enable Regime Filter — Activates macro overlay using reference symbol. Default: True. Trade-offs/Tips: Core for trend-aware trading; disable for pure momentum plays, but risks counter-trend entries.
Regime Symbol — Chooses the benchmark for regime (e.g., broad index). Default: QQQ. Trade-offs/Tips: Broad market proxy like SPY for equities; swap for BTC in crypto to match universe.
SMA Length (D) — Sets the averaging window for regime comparison. Default: 100. Trade-offs/Tips: Longer for fewer flips (smoother regimes); shorter for quicker detection—default suits daily checks.
Invert (rare) — Flips the regime logic (price above average becomes negative). Default: False. Trade-offs/Tips: Only if your view inverts the benchmark; test thoroughly as it reverses all tints/labels.
Show Ranking Table — Displays the ranked list with scores and regime status. Default: True. Trade-offs/Tips: Essential for selection; position tweaks help on crowded charts.
Table X / Y — Places the table on the chart (e.g., top-right). Default: Right / Top. Trade-offs/Tips: Corner placement avoids price overlap; middle for central focus in reviews.
Dark Theme — Applies inverted colors for visibility. Default: True. Trade-offs/Tips: Matches most TradingView themes; toggle for light backgrounds without losing contrast.
Text Size — Scales table font for readability. Default: Normal. Trade-offs/Tips: Smaller for dense data; larger on big screens—impacts only last-bar render.
Background Tint by Regime — Colors the chart faintly green/red based on state. Default: True. Trade-offs/Tips: Subtle cue for immersion; disable if it distracts from price action.
Label on Regime Flip — Adds text markers at state changes. Default: True. Trade-offs/Tips: Aids journaling flips; space them by disabling in low-vol periods to cut clutter.
Reading & Interpretation
The ranking table lists top assets by position, symbol, percentage score (higher indicates stronger blended momentum), and regime status—green "ON" for favorable, red "OFF" for cautionary. Background shifts to a light teal in positive regimes (suggesting alignment for longs) or pale red in negative ones (hinting at reduced exposure). Flip labels appear as green "Regime ON" above bars or red "Regime OFF" below, marking transitions without ongoing noise. If the current symbol appears in the top rows with a solid score, it signals potential hold or entry priority within rotations.
Practical Workflows & Combinations
- Trend following: Scan the table weekly on monthly charts for top entrants; confirm with higher highs/lows in price structure before rotating in. Use regime tint as a veto—skip buys in red phases.
- Exits/Stops: Rotate out of bottom-half ranks monthly; tighten stops below recent lows during regime flips to protect against reversals. Pair with volatility filters like average true range for dynamic sizing.
- Multi-asset/Multi-TF: Defaults work across crypto/equities on daily+ timeframes; for intraday, shorten scoring to weekly but expect more interim noise. Scale universe size with portfolio count—e.g., top 5 for aggressive crypto rotations.
Behavior, Constraints & Performance
Signals update on bar close to confirm higher-timeframe data, but live bars may preview shifts from security calls, introducing minor repaint until finalized—mitigated by non-lookahead settings, though daily regime checks can lag by one session. Arrays handle up to 12 symbols efficiently, with loops capped at selection size; max bars back at 5000 supports historical depth without overload. Resource use stays low, but dense universes on very long charts may slow initial loads.
Known limits include sensitivity to universe composition (skewed groups amplify biases) and regime lag at sharp market turns, potentially delaying rotations by a period.
Sensible Defaults & Quick Tuning
Defaults assume a 10-asset crypto rotation on monthly scoring with balanced weights and QQQ regime—ideal for intermediate-term equity-like plays. For too-frequent table reshuffles, extend scoring timeframe or weight longer horizons more. If selections feel sluggish, shorten the 3-month weight or enable MA smoothing off. In high-vol environments, raise top N and SMA length for stability; for crypto bursts, drop to weekly scoring and invert regime if using a volatile proxy.
What this indicator is—and isn’t
This is a selection and visualization tool for momentum-based rotations, layering relative ranks and regime context onto charts to inform asset picks. It is not a standalone system—pair it with entry/exit rules, position sizing, and risk limits. Nor is it predictive; it reacts to past changes and may underperform in prolonged ranges or during universe gaps.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Where does it come from, specifically?
The principle of “composite momentum across multiple horizons” is common in TAA/rotation strategies. As a documented example: Keller/Butler use a composite 1/3/6/12-month momentum (“13612W”)—same idea, different windows/weights.
Robot Wealth
A practical vendor example: EPS Momentum calculates an RMR composite as a weighted mix of 12/6/3/1-month ranks (very close to “12/6/3”).
EPS Momentum
Related but not identical: StockCharts’ RRG measures the momentum rotation of relative strength—often mentioned in the same context, but it doesn’t have a fixed “12/6/3” composite.
chartschool.stockcharts.com
How is it typically computed?
ROC_12 + ROC_6 + ROC_3 (often scaled/weighted), then ranked vs. peers; the rotation periodically holds the top ranks in the portfolio. (Variants use different weights or additionally include 1-month—see the sources above.)
robotwealth.com
epsmomentum.com
Chart patterns
BTC Confluence Score + Confirmed Signals (12m/1h)This script combines 7 different signals across multiple timeframes (12 min + 1 hour + BTC dominance), then only gives you a BUY or SELL when everything aligns.
It’s designed to filter out fake-outs and help you catch momentum reversals that stick.
WHAT IT’S DOING UNDER THE HOOD
Timeframes
12 min (fast) → short-term trigger (RSI, Stoch RSI, volatility)
1 hour (slow) → trend confirmation (EMA structure, RSI, MACD)
BTC Dominance (1 h) → strength/flow confirmation (is capital rotating into BTC or alts?)
This gives you a multi-timeframe confluence, which is what professional traders look for before entering a trade.
2. The 7 “Score” Ingredients
Each bar gets a “score” from –7 (super bearish) to +7 (super bullish) based on:
# Condition Bullish signal (+1) Bearish signal (–1)
1 RSI (12m) RSI > 50 RSI < 50
2 RSI (1h) RSI > 50 RSI < 50
3 MACD Histogram > 0 Histogram < 0
4 BTC Dominance level > 59.8 % < 59.8 %
5 BTC Dominance trend 3 EMA > 8 EMA 3 EMA < 8 EMA
6 1h EMAs trend 50 EMA > 200 EMA and price > 50 EMA 50 EMA < 200 EMA and price < 50 EMA
7 Volatility (ATR) Current ATR > average (momentum increasing) —
The Confluence Score bar at the bottom shows this numerically:
💚 +5 to +7 → Strong bullish conditions
❤️ –5 to –7 → Strong bearish conditions
🩶 Between –2 and +2 → Choppy / neutral
3️⃣ Confirmed Entry Logic (the clear triangles you see now)
You’ll now see only two real actionable markers:
✅ BUY (Green Triangle Up)
Triggered when:
Stoch RSI crosses upward on 12 min
RSI > 50 (momentum confirmation)
MACD histogram > 0 (trend shift)
Confluence score ≥ 4 (default threshold)
This means momentum + trend + structure + volume all agree on an upward move.
→ Ideal for going long or closing shorts.
🚨 SELL (Red Triangle Down)
Triggered when:
Stoch RSI crosses downward
RSI < 50
MACD histogram < 0
Confluence score ≥ 4 bearish
That’s your exit / short confirmation.
4️⃣ Color Bars (Score Strength)
At the bottom of the chart:
💚 Green Bars = full bullish confluence (+5 or more)
💛 Lime/Orange Bars = moderate bullish or early reversal
❤️ Red Bars = strong bearish confluence (–5 or less)
🩶 Gray Bars = chop/no edge
If you prefer visual simplicity, just use:
BUY = Green Triangle appears on green bars
SELL = Red Triangle appears on red bars
That’s your “double confirmation.”
🎯 HOW TO TRADE IT
⏱ Timeframes
Use 12 min for entries (fast scalps or 1–2 hr setups).
Confirm direction with the 1 hour timeframe — only trade in that direction.
💰 Entry Playbook
Signal What to Do
✅ Green Triangle appears Enter long or scale in. Set stop below recent swing low.
🚨 Red Triangle appears Exit long / enter short / scale out.
Bars gray or alternating Stay out — market is undecided.
🧮 Min Score Setting
Default = 4 (balanced).
Raise to 5 for cleaner, fewer signals.
Lower to 3 for more aggressive, frequent trades.
📲 Alerts
You can now create TradingView alerts using:
BUY Confirmed
SELL Confirmed
Set alert type:
“Once per bar close” — so you only get notified after confirmation, not mid-bar noise.
Y ou now have your own BTC AI Confluence System:
Filters all noise from RSI, MACD, EMAs, volatility, and BTC dominance
Waits for perfect alignment across multiple timeframes
Gives you one simple green (BUY) or red (SELL) signal
Lets you scalp 1–2 % moves safely or swing trade confirmations
Key LevelsKey levels marked out for the day.
Week, 4 hour, 1 hour, PM, and OR levels marked out for each session.
Relative Valuation OscillatorRelative Valuation Oscillator (RVO) Description
The Valuation_OTC.pine script is a Relative Valuation Oscillator for TradingView that compares the current asset against a reference asset (like Bitcoin, S&P 500, or Gold) to determine if it's relatively overvalued or undervalued.
Key Features:
1. Multiple Calculation Methods:
Simple Ratio - Compares price ratio deviation from average
Percentage Difference - Direct percentage comparison between assets
Ratio Z-Score - Statistical measure (standard deviations from mean)
Rate of Change Comparison - Compares momentum/performance
Normalized Ratio - 0-100 scale centered at zero
2. Customizable Settings:
Reference asset selection (default: BTC/USDT)
Adjustable lookback period (10-500 bars)
Optional smoothing with configurable period
Overbought/oversold level thresholds (default: ±1.5)
3. Trading Signals:
Overvalued - Oscillator above overbought level (red zone)
Undervalued - Oscillator below oversold level (green zone)
Neutral - Between thresholds
Crossover alerts for key levels
Divergence detection (bullish/bearish)
4. Visual Components:
Color-coded oscillator line (green when positive, red when negative)
Optional signal line for additional smoothing
Background shading for valuation zones
Information table showing current metrics and status
Shape markers for crossovers and divergences
5. Alert Conditions:
Overvalued/undervalued alerts
Zero-line crossovers
Divergence signals
This indicator is useful for pairs trading, relative strength analysis, and identifying when an asset is trading at extremes relative to a benchmark asset.
BTC Confluence Alert 1 Overall Purpose
This script is a custom TradingView indicator that scans for confluence (agreement) between:
BTC’s short-term and medium-term momentum (12-minute and 1-hour RSIs),
The MACD histogram (trend direction and momentum strength),
Bitcoin dominance (money flowing back into BTC).
When all three are bullish, it flashes green and triggers a single alert.
Buy vs Sell Liquidity + Difference (Bottom Right)Script Summary (Short Notes)
⚙️ Purpose
Tracks and displays Buy Volume vs Sell Volume difference during the day, based on candle direction.
Useful for spotting liquidity imbalance between buyers and sellers.
📊 How It Works
Volume Classification
If close > open → counts volume as Buy Volume
If close < open → counts volume as Sell Volume
Aggregation Timeframe
You can select a timeframe (1, 2, 3, 5, 15, 30 mins)
Script recalculates data from that aggregation level.
Daily Reset
At the start of a new trading day, totals reset to zero.
Cumulative Calculation
Adds all buy/sell volumes as the day progresses.
Calculates:
Total Volume
Difference (BUY − SELL)
Percentages (%)
DAMMU AUTOMATICAL AI ENRTY AND TARGET AND EXITMain Components
Supertrend System –
Detects market trend direction (Buy/Sell zones).
→ Green = Uptrend (Buy)
→ Red = Downtrend (Sell)
SMA Filter –
Uses 50 & 200 moving averages to confirm overall trend.
→ Price above both → Bullish
→ Price below both → Bearish
Buy/Sell Signals –
Generated when Supertrend flips direction and SMA confirms.
→ Triangle up = Buy
→ Triangle down = Sell
Take Profit / Stop Loss Levels –
Automatically calculated after Buy/Sell entry.
→ TP1, TP2, SL shown on chart
ADX (Sideways Zone Filter) –
If ADX < 25 → Market sideways → Avoid trades
Shows “No Trade Zone” area
Smart Money Concepts (SMC) Tools –
🔹 Market structure (HH, HL, LH, LL)
🔹 Order blocks (OB)
🔹 Equal highs/lows
🔹 Fair Value Gaps (FVG)
🔹 Premium & Discount zones
Helps find institutional entry points
Visual Display –
Color-coded background (trend zones)
Labels for buy/sell/structure
Optional FVG and order block boxes
Risk Management –
Input-based position sizing, SL & TP management
(to calculate profit levels and minimize loss)
SPX / Silver (XAGUSD) RatioThis script visualizes the S&P 500 Index to Silver ratio (SPX/Silver) — a powerful tool for monitoring the relative strength of equities vs. precious metals over time.
📊 Use Case:
Helps traders assess macro sentiment shifts between risk-on (equities) and risk-off (commodities).
A rising ratio indicates equity outperformance vs Silver, often in growth-driven bull markets.
A falling ratio suggests Silver is outperforming — potentially due to inflation, geopolitical risk, or weakening equities.
⚙️ Data & Calculation:
SPX: SP:SPX (S&P 500 Index)
Silver: TVC:SILVER
Formula:
SPX / Silver
(Both are spot/index prices, updated on daily timeframe)
📈 Interpretation:
📈 Ratio Rising → SPX outperforming Silver → Risk-on sentiment
📉 Ratio Falling → Silver outperforming SPX → Possible flight to safety or inflation hedge
🧠 Ideal For:
Macro trend analysis
Intermarket strategy development
Asset rotation decision-making
Spotting Silver bottoms during SPX/Silver peak zones
Stop point MMAAn indicator that determines an important stopping area by overcoming the blue candle. The overriding party is determined by buyers or sellers, as it must be confirmed by two candles closing below
Pullback Finder AutoPullback Finder Auto — Intraday Momentum Cooling Detector
Pullback Finder Auto is designed to find stocks that have made a strong intraday run from the open and are now cooling off while still positive — the classic pullback zone where continuation entries often form.
It automatically measures the percentage change from today’s open and highlights bars where:
the stock has already run at least a chosen amount (for example +10 % above its open), and
the current price is still up but within a defined pullback range (for example between +3 % and +8 % above the open).
When those two conditions are met, you’ll see green graphics on your chart:
Green triangle markers under the candle.
Optionally, small green PB labels such as “PB 5.2 %” showing the exact percentage from open when the setup occurs.
A green highlight in the sub‑window or line plot if you left the “Change from Open %” plot active.
These are your visual cues that a pullback has formed — a stock that previously ran and is now pulling back while holding strength.
How it works
The script continuously monitors:
• High % from Open = (high − open) / open × 100
• Current % from Open = (close − open) / open × 100
A “Pullback” condition triggers only if:
the high % is greater than or equal to your minimum run threshold, and
the current % sits between your minimum and maximum pullback percentages.
When both are true, the indicator plots the green triangle and optional label.
Default parameters
Min Run % = 10
Min Current % = 3
Max Current % = 8
Session Start = 09:30 – 16:00 US Eastern
All can be changed to fit different volatility levels.
Lower values catch smaller moves; higher values restrict signals to explosive runners.
Using it in real time
During live trading, Pullback Finder Auto updates with each candle.
When a bar first enters the target zone, a green triangle and PB label will appear immediately under that candle.
These are dynamic: if price moves out of the valid zone on the same bar, the marker may disappear.
You can create an alert on “Pullback Finder Auto – Pullback Candidate” to be notified whenever new triangles appear across your active symbols.
This works on any timeframe:
use shorter timeframes such as 1‑minute or 5‑minute charts for fast, intraday detection,
use longer timeframes for a broader view of the day’s market structure.
Using it on past data (scanning backwards)
When you scroll back through history, past green triangles remain visible at every bar where the condition was true at that time.
The PB labels next to those candles show exactly how far above the open the stock was trading during the historical setup.
Use this for visual back‑testing: study how price reacted after these pullback points, adjust the thresholds, and refine your criteria for different markets.
The grey or teal line under the chart (if enabled) shows the percent‑from‑open curve so you can see the full run‑and‑cool pattern leading into each triangle signal.
If you convert the indicator into a strategy, the same condition becomes historical entry points you can test with the Strategy Tester.
Summary
1. Pullback Finder Auto paints green triangles and PB labels whenever an intraday pullback fits your criteria.
2. It runs dynamically in real‑time and also preserves markers for historical review.
3. Adjust the thresholds to match volatility or timeframe.
4. Ideal for visual scanning, watchlist alerts, or integration into a lightweight screening strategy.
Kelly Wave Position Matrix 20251024 V1 ZENYOUNGA simple table is designed for use when opening a position. It applies the Kelly formula to calculate a more scientific position size based on win rate and risk–reward ratio. At the same time, it displays 1.65× ATR stop-loss levels for both long and short positions to serve as a reference for comparing with existing stop-loss placements.
Additionally, the table back-calculates the corresponding position size based on a 2% total capital loss limit, using the actual loss ratio. It also shows the current wave trend status as a pre-filtering condition.
Overall, this table integrates the core elements of trading — trend (wave confirmation), win rate, risk–reward ratio, and position sizing — making it an effective checklist before entering a trade. Its purpose is to help achieve a probabilistic edge and ensure positive expected value in trading decisions.
Avivso 150 + ATHThis Pine Script displays a dynamic on-chart watermark and key stock data.
It shows company info, symbol, industry, market cap, ATR(14) with color status, earnings countdown, and distances from the current price to SMA150 and the all-time high.
It also plots SMA 20 and SMA 150 moving-average lines on the chart and supports configurable position, size, and padding for the watermark.
20 EMA Undercut Bounce - M4v3r1ck💎 The "EMA Undercut Bounce" Bullish Scanner
This indicator is designed to identify high-conviction continuation patterns where price makes a temporary dip for liquidity before resuming a powerful, established uptrend. It specifically looks for a bullish rejection off the 20-period Exponential Moving Average (EMA).
🎯 Strategy Logic
The signal is generated only on the Daily (1D) timeframe when the following five precise conditions are met on the most recent completed bar:
1. Price Action (The Undercut Bounce)
• Undercut: The bar's low price must have touched or temporarily traded below the 20-Day EMA.
• Rejection: The bar's close price must have fully recovered and closed above the 20-Day EMA. This is the classic sign of strong buying pressure defending a key support level.
2. Strong Trend Hierarchy (The Bullish Stack)
The moving averages must be perfectly stacked, confirming a robust multi-timeframe uptrend structure:
• 10-Day EMA > 20-Day EMA
• 20-Day EMA > 50-Day SMA
• 50-Day SMA > 200-Day SMA
3. Momentum Confirmation (The Upward Slope)
Both the 10-Day EMA and the 20-Day EMA must be rising from the previous day. This ensures that the short-term trend momentum is positive, ruling out signals during flat or turning markets.
💡 How to Use This Indicator
1. Timeframe: Ensure your chart is set to the Daily (1D) timeframe for accurate results.
2. Signal: A Green Background highlight and an Up-Arrow below the bar mark a confirmed signal.
3. Alerts: Use the built-in alert condition to set up notifications for stocks on your watchlist, allowing you to catch these high-quality setups without constantly monitoring charts.
This script is ideal for trend-following traders looking to enter a position after a healthy shakeout and confirmation of continued bullish commitment.
Unicorn Trade Indicator - Enhanced V1This code also contains pinescripts from iFVG (BPR) by Algorize and Visualizing displacement by tradeforopp who have kindly provided them as open source.
An ICT Unicorn is where a breaker block is traded through which incorporates a fair value gap. I decided to code this indicator as I couldn't find an existing free indicator on Trading View that performed adequately.
This indicator will highlight breaker blocks and when broken will post an Unicorn emoji and send an alert if requested. The last 3 breaker blocks are displayed, the prior boxes are labled PBB and are shown as red for bearish and green for bullish. After the main Unicorn is posted, the code continues to mark market structure shifts.
As all trading strategies work better with confluence I have added several other features which is very useful for people who are restricted on the number of indicators that can place on a single chart.
I have added iFVG (BPR) by Algoryze and Visualizing displacement by tradeforopp which have kindly been made open source by the authors. My thanks to them for their hard work.
Unicorn alerts will only be sent when a yellow displacement candle ( from the Visualizing displacement code) is present along with the Unicorn as this is the best type of Unicorn to trade.
The number of fvg's and bpr's from the code by Algoryze can be adjusted in the settings.
Also to add confluence I have used my own code to display liquidity depth boxes made popular by toodegrees.
I hope you find this indicator useful.
Julius Single TrailJulius Single Trail — How it works
This indicator combines a Kalman-like smoothed Donchian midline with an ATR-style volatility buffer to create a single adaptive trailing line that flips with trend. It also recolors candles to reflect regime and visually marks ranging conditions using Bollinger Band width. Optionally, it adds a dotted price line and can hide default candles for a clean, unified look.
Core logic
Donchian midpoint: Calculates the middle of the highest high and lowest low over Donchian Length. This is the directional anchor.
Kalman-like smoothing: Applies a lightweight exponential update to the Donchian midpoint using Alpha, reducing noise while staying responsive.
Volatility buffer: Uses RMA of True Range over Volatility Length multiplied by Volatility Multiplier to form an adaptive offset around the smoothed midline.
Dynamic trail:
Up-trend regime (regime = 1): The trail is kMid - offset and only ratchets upward (math.max), acting like a long stop.
Down-trend regime (regime = -1): The trail is kMid + offset and only ratchets downward (math.min), acting like a short stop.
Flip conditions: Regime flips only when price is on the far side of both the smoothed midpoint and the current trail:
Flip to down when close < kMid and close < dynTrail
Flip to up when close > kMid and close > dynTrail
Candle styling:
Wick color shows immediate price direction (green for bullish, red for bearish).
Body color follows the trail’s regime (Uptrend Color or Downtrend Color).
In ranging conditions, all candle elements turn gray.
Ranging detection:
Computes Bollinger Bands on close with BB Length and BB Multiplier.
Calculates width as a percentage of the basis. If width% (optionally smoothed) is below Range Threshold %, candles are gray to signal consolidation.
What it plots
Dynamic Trail: A single, thick line that changes color by regime:
Uptrend: Uptrend Color (default lime)
Downtrend: Downtrend Color (default red)
Optional Trail Fill to Close: A translucent band between the trail and the close (disabled by default).
Optional Dotted Price Line: A dotted horizontal line at the current price (toggle via Show Dotted Price Line).
Candle treatment:
You can hide default candles (Hide Default Candles), then use a separate custom-candle script for wick/body/border mapping. In this script, default candles can be made fully transparent to let the trail and colors dominate.
Inputs
Donchian Length: Window for the highest/lowest used to form the midline.
Kalman Alpha 0–1: Smoothing factor for the midline. Higher = more responsive, lower = smoother.
Volatility Length: RMA length of True Range for the volatility buffer.
Volatility Multiplier: Scales the buffer around the midline. Higher widens the trail, reducing flips.
Uptrend Color / Downtrend Color: Trail and body color by regime.
Show Cloud To Close: Fills between price and trail using the trail’s color.
Hide Default Candles: Makes the native candles fully transparent.
Show Dotted Price Line / Price Line Color: Toggles and colors the dotted price line.
Ranging parameters:
BB Length (Ranging) and BB Multiplier (Ranging): Bollinger Band settings.
Range Threshold %: If BB width% < threshold, candles turn gray to indicate range.
Use Smoothed Width / Width Smoothing Length: Smooths BB width% before comparison.
Signals and interpretation
Regime shifts:
Bullish flip: When price closes above both the smoothed midpoint and the current trail. Trail switches to the lower band (kMid - offset) and ratchets up.
Bearish flip: When price closes below both the smoothed midpoint and the current trail. Trail switches to the upper band (kMid + offset) and ratchets down.
Trend bias:
Green trail/body: Favor long bias; trail can serve as a dynamic stop.
Red trail/body: Favor short bias; trail can serve as a dynamic stop.
Ranging filter:
Gray candles: Lower-probability trend continuation; consider reducing position sizing, waiting for a breakout, or using mean-reversion tactics.
How to use it
Trend following:
Enter in the direction of the regime when flips occur or on pullbacks that respect the trail.
Use the trail as a stop-loss guide: exit when price closes beyond the trail and the regime flips.
Range awareness:
When candles turn gray, avoid trend entries or switch to range tactics. Wait for color to return and a clean flip.
Tuning suggestions:
Faster, more responsive: Lower Donchian Length, increase Alpha, lower Volatility Length and/or Volatility Multiplier.
Smoother, fewer flips: Increase Donchian Length, decrease Alpha, increase Volatility Length and/or Volatility Multiplier.
Ranging strictness: Increase Range Threshold % to mark ranges more often; smooth the width to avoid choppiness.
Example settings
Swing trading:
Donchian Length: 50
Alpha: 0.25
Vol Length: 14
Vol Mult: 1.6
BB Length: 20, BB Mult: 2.0, Range Threshold %: 2.0, Smoothed width ON (20)
Intraday (more responsive):
Donchian Length: 20–30
Alpha: 0.4–0.6
Vol Length: 10–14
Vol Mult: 1.2–1.6
Range Threshold %: 1.5–2.5 depending on instrument
Alerts (suggested)
Regime flips:
Condition: close > dynTrail and close > kMid -> Alert: Bullish regime
Condition: close < dynTrail and close < kMid -> Alert: Bearish regime
Range state:
Condition: BB width% < threshold -> Alert: Ranging
You can wire these using alertcondition() on the flip conditions and isRange variable inside the script.
Notes and limitations
This is a single-side ratcheting trail per regime, designed to reduce whipsaw by requiring price to clear both the midpoint and the trail before flipping.
Like all trend tools, it can lag tops/bottoms and may chop in low-volatility, sideways markets.
For assets with highly irregular volatility, retune Volatility Multiplier and Range Threshold %.
Short description (for header):
Adaptive, single-line trailing stop based on Kalman-smoothed Donchian mid + ATR-style buffer. Colors candles by regime, grays out ranges via BB width. Optional price line and cloud.
If you want, I can add alertcondition() for the flip and range events and a light custom-candle overlay so you can publish with built-in alert templates and consistent candle styling.
golden smart entrySmart Money Concepts (SMC) is a trading methodology that focuses on understanding and following the behavior of institutional investors—often referred to as "smart money." The goal is to identify high-probability trade setups by analyzing how these large players move the market.
First X Days Of A YearFirst X-Day Indicator
Overview
The "First X-Day Indicator" is a powerful tool to visualize and analyze market sentiment during the crucial first trading days of each new year. It provides immediate visual feedback on whether the year is starting with positive or negative momentum compared to the previous year's close, a concept often related to market theories like the "January Effect" or the "First Five Days Rule."
The indicator is designed to be clean, intuitive, and fully customizable to fit your charting style.
Key Features
Yearly Baseline: Automatically draws a horizontal line at the previous year's closing price. This line serves as a clear 0% reference for the current year's performance.
Dynamic Background Coloring: For a user-defined number of days at the start of the year, the chart background is colored daily. Green indicates the close is above the previous year's close, while red indicates it's below.
Final Performance Symbol: At the end of the analysis period (e.g., on the 5th day), a single summary symbol (like 👍 or 👎) appears. This symbol represents the final performance outcome of the initial trading period.
Settings & Customization
You have full control over all visual elements:
Analysis Period: Define exactly how many days at the start of the year you want to analyze (e.g., 3, 5, or 10 days).
Line Customization: Fully control the yearly baseline's appearance. You can change its color, width, and style (Solid, Dashed, or Dotted) or hide it completely.
Symbol Customization: Choose any character or emoji for the positive and negative performance symbols. You can also adjust their size (Small, Normal, Large) or hide them.
Background Control: Enable or disable the daily background coloring and select your preferred custom colors for positive and negative days.
Multi-Module Full-Featured Trading Strategy System v1🧠 Key Features Summary:
🧩 Full Modular Structure: Entry / Position Adding / Take Profit & Stop Loss / Delay / Capital Management.
⏱️ Delay & Reverse System: Prevents frequent long-short switching with minute-based delay intervals.
💰 Capital Management System:
• Controls opening/adding positions based on account equity percentage;
• Limits maximum position ratio;
• Supports leverage multiplier.
⚙️ Each module is independently configurable and can be disabled;
📈 Unified variable naming for easy expansion with more indicators.
Previous session High/Low – Asia London USA Overview
This indicator automatically plots the Previous Day’s (PD) session Highs and Lows for the Asia (Tokyo), London, and USA (New York) trading sessions.
Each session is color-coded for clarity:
🟩 Asia (Green)
🟥 London (Red)
🟦 USA (Blue)
At the close of each session, the indicator records that session’s high and low, draws horizontal lines across the chart, and labels them neatly in the center of each range — above the high and below the low for perfect visual balance.
⚙️ How It Works
The script continuously tracks the current high and low within each session.
When a session closes, those values are locked in as the PD High and PD Low.
Clean lines and centered labels are drawn immediately.
The labels automatically offset slightly above or below the line to avoid overlap, with user-controlled spacing.
This helps traders quickly identify where price interacts with the previous session’s structure, a core concept for many session-based and liquidity-based strategies.
🧭 Sessions and Timezones
Each market session runs in its native timezone, so you can align them perfectly to your chart or your preferred trading hours:
Asia Session: Default 08:30 – 11:00 (Australia/Adelaide time)
London Session: Default 08:00 – 10:00 (Europe/London)
USA Session: Default 09:30 – 16:00 (America/New_York)
You can change each session’s hours and timezone from the Inputs panel.
🎨 Customization
In the Inputs menu you can:
Toggle each session on or off
Choose line color and thickness
Enable or disable labels
Adjust vertical offset (ticks) for label spacing
“High label offset” – moves label further above the high line
“Low label offset” – moves label further below the low line
These adjustments make it easy to keep charts clean and readable on any instrument or timeframe.
📈 Practical Use
This indicator is ideal for:
Session traders who mark PD Highs/Lows as liquidity zones
London or NY session scalpers who watch for breakouts, fakeouts, or reversals
ICT / Smart Money Concepts users wanting automatic session reference levels
Anyone wanting a quick visual map of inter-session structure
Aynet- True Wick Projector for Non-Standard ChartsTechnical Explanation: "Data Projection and Synchronization"
This script is, at its core, a "data projection" tool. The fundamental technical problem it solves is compensating for the information loss that occurs when using different data visualization models.
1. The Core Problem: Information Loss
Standard Charts (Time-Based): Normal candlesticks are time-based. Each candle represents a fixed time interval (like 1 hour or 1 day) and displays the complete Open, High, Low, and Close (OHLC) data for that period. The "wicks" show the volatility and the extreme price points (the High and Low).
Non-Standard Charts (Price/Momentum-Based): Charts like Kagi, Renko, or Line Break filter out time. Their only concern is price movement. While one Renko box or Kagi line is forming, 10 or more time-based candles might have formed in the background. During this "noise filtering" process, the true high and low values (the wicks) from those underlying candles are lost.
The problem is this: A trader looking at a non-standard chart cannot see how high or low the price actually went while that block or line was forming. This is a critical loss of information regarding market volatility, support/resistance levels, and price rejection.
2. The Technical Solution: A "Dual Data Stream"
This script intelligently combines two different data streams to compensate for this information loss:
Main Stream (Current Chart): The open and close data from your active Kagi, Renko, etc., chart.
Secondary Stream (Projected Data): The high and low data from the underlying standard (time-based) chart.
3. The Code's Methodical Steps
Step 1: Identifying the Data Source (syminfo...)
This step precisely identifies the source for the secondary data stream. By using syminfo.prefix + ":" + syminfo.ticker (e.g., "NASDAQ:AAPL"), it guarantees that the data is pulled from the exact correct instrument and exchange.
Step 2: Data Request & "Lookahead" Synchronization (request.security)
This is the most critical part of the operation.
request.security(...): This is the function Pine Script uses to pull data from another dataset (the secondary stream) onto the current chart.
: This tells the function, "The only data I care about is the 'High' and 'Low' of the standard candle from that timeframe."
lookahead = barmerge.lookahead_on (The Critical Key): This command solves the "time paradox."
Normally (without this): request.security fetches data from the last completed bar. But as your Kagi bar is currently forming, the standard candle is also currently forming. This would cause the data to always be one bar behind (lag).
With lookahead_on: This permits the script to "look ahead" at the data from the currently forming, incomplete standard bar. Because of this, as your Kagi bar moves, the true wick data is updated in real-time. This achieves real-time synchronization.
Step 3: Visual Engineering (plotcandle)
After the script retrieves the data, it must "draw" it. However, it only wants to draw the wicks, not the candle bodies.
bodyTop and bodyBottom: First, it finds the top and bottom of the current Kagi bar's body (using math.max(open, close)).
Plotting the Upper Wick (Green):
It calls the plotcandle function and instructs it to draw a fake candle.
It fixes this fake candle's Open, Low, and Close (open, low, close) values to the top of the Kagi bar's body (bodyTop).
It only sets the High (high) value to the realHigh it fetched with request.security.
The result: A wick is drawn from the bodyTop level up to the realHigh level, with no visible body.
Plotting the Lower Wick (Red):
It applies the reverse logic.
It fixes the fake candle's Open, High, and Close values to the bottom of the Kagi bar's body (bodyBottom).
It only sets the Low (low) value to the realLow.
The result: A lower wick is drawn from bodyBottom down to realLow.
Invisibility (color.new(color.white, 100)):
In both plotcandle calls, the color (body color) and bordercolor are set to 100 transparency. This makes the "fake" candle bodies completely invisible, leaving only the colored wicks.
Conclusion (Technical Summary)
This script reclaims the volatility data (the wicks) that is naturally sacrificed by non-standard charts.
It achieves this with technical precision by creating a secondary data stream using request.security and synchronizing it with zero lag using the lookahead_on parameter.
Finally, it intelligently manipulates the plotcandle function (by creating invisible bodies) to project this lost data onto your Kagi/Renko chart as an "augmented reality" layer. This allows a trader to benefit from the clean, noise-filtered view of a non-standard chart without losing access to the full picture of market volatility.
Dot traderInterpret Signals: Green triangles indicate buy (e.g., if BTC holds $109k with bullish crossover); red triangles indicate sell (e.g., if it breaks $108k with bearish divergence).
Candle Colors: Green/bullish, red/bearish, orange/overbought (>70 RSI), blue/oversold (<30 RSI).
Alerts: Enable in TradingView for real-time notifications.






















