ADX_TSI_Bol Band Trend ChaserThe idea of this script is to be a low risk strategy on trending stocks (or any other trending market), aiming to achieve minimal draw down (e.g. at time of writing AAPL only had ~1.36% draw down, FB ~1.93% draw down and the SPY was 0.80% draw down and all remained profitable).
Testing proved it shouldn't be used in choppy stocks and best period was on daily charts. The back test filter goes back until 2010 so you can obtain 10 years of data.
The strategy utilizes the 200 Moving Average, a Custom Bollinger Band, a TSI with 52 period weighted moving average and ADX strength.
Although back test dates are set to 2010 - 2020, all other filters (moving average, ADX, TSI , Bollinger Band) are not locked so they can be user amended if desired. However the current settings have been tested with manual trading for quite some time to get this combination correct.
Buy signal is given when trading above the 200 moving average + 5 candles have closed above the upper custom Bollinger + the TSI is positive + ADX is above 20.
As back testing proved that this traded better only in tends then some Sell/Short conditions have been removed from the script and this only takes Long orders.
Only requires 2 additional lines of code to add shorting order and then remove the "buy" condition and this could be used for a downward trending stock instead.
Close for either long or short trades is signaled once the TSI crosses in the opposite direction indicating change in trend strength.
Further optimization could be achieved by adding a stop loss, which I may do in the future.
NOTE: This only shows the lower indicators however for visualization you can use my script "CUSTOM BOLLINGER WITH SMA", which is the upper indicators in this strategy.
This is my first attempt at coding a strategy so I'm happy to receive any feedback or hints on how this could be written better from any experienced coders!
NASDAQ:AAPL AMEX:SPY
在腳本中搜尋"spy"
Short in Bollinger Band Down trend (Weekly and Daily) // © PlanTradePlanMM
// 6/14/2020
// ---------------------------------------------------
// Name: Short in Bollinger Band Down trend (Weekly and Daily)
// ---------------------------------------------------
// Key Points in this study:
// 1. Short in BB Lower band, probability of price going down is more than 50%
// 2. Short at the top 1/4 of Lower band (EMA - Lower line), Stop is EMA, tartget is Lower line; it matches risk:/reward=1:3 naturally
//
// Draw Lines:
// BB Lower : is the Target (Black line)
// BB EMA : is the initial Stop (Black line)
// ShortLine : EMA - 1/4 of (Stop-target), which matches risk:/reward=1:3
// Prepare Zone : between EMA and ShortLine
// shortPrice : Blue dot line only showing when has Short position, Which shows entry price.
// StopPrice : Black dot line only showing when has Short position, Which shows updated stop price.
//
// Add SMA50 to filter the trend. Price <= SMA, allow to short
//
// What (Condition): in BB down trend band
// When (Price action): Price cross below ShortLine;
// How (Trading Plan): Short at ShortLine;
// Initial Stop is EMA;
// Initial Target is BB Lower Line;
// FollowUp: if price moves down first, and EMA is below Short Price. Move stop to EMA, At least "make even" in this trade;
// if Price touched Short Line again and goes down, new EMA will be the updated stop
//
// Exit: 1. Initial stop -- "Stop" when down first, Close above stop
// 2. Target reached -- "TR" when down quickly, Target reached
// 3. make even -- "ME" when small down and up, Exit at Entry Price
// 4. Small Winner -- "SM" when EMA below Entry price, Exit when Close above EMA
//
// --------------
// Because there are too many flags in up trend study already, I created this down trend script separately.
// Uptrend study is good for SPY, QQQ, and strong stocks.
// Downtrend Study is good for weak ETF, stock, and (-2x, -3x) ETFs, such as FAZ, UVXY, USO, XOP, AAL, CCL
// -----------------------------------------------------------------------------------------------------------------
// Back test Weekly and daily chart for SPY, QQQ, XOP, AAL, BA, MMM, FAZ, UVXY
// The best sample is FAZ Weekly chart.
// When SPY and QQQ are good in long term up trend, these (-2x, -3x) ETFs are always going down in long term.
// Some of them are not allowed to short. I used option Put/Put spread for the short entry.
//
Buy in Bollinger Band uptrend (Weekly and Daily) // © PlanTradePlanMM 6/14/2020
// ---------------------------------------------------
// Name: Buy in Bollinger Band uptrend (Weekly and Daily)
// ---------------------------------------------------
// Key Points in this study:
// 1. Long in BB Upper band, probability of price going up is more than 50%
// 2. Buy at the bottom 1/4 of upper band (Upper line - EMA), Stop is EMA, tartget is Upper line; it matches risk:reward=1:3;
//
// Draw Lines:
// BB Upper : is the Target (Black line)
// BB EMA : is the initial Stop (Black line)
// BuyLine : EMA20 + 1/4 of (Target-Stop), which matches risk:/reward=1:3 naturally
// Prepare Zone : between EMA and BuyLine
// buyPrice : Blue dot line only showing when has long position, Which shows entry price.
// StopPrice : Black dot line only showing when has long position, Which shows updated stop price.
//
// Add SMA(50) to filter the trend. Price >= SMA, allow to long
//
// What (Condition): in BB uptrend band
// When (Price action): Price cross over BuyLine;
// How (Trading Plan): Buy at BuyLine;
// Initial Stop is EMA;
// Initial Target is BB Upper Line;
//
// FollowUp: if price moves up first, and the EMA is higher than Entry point, Use EMA as new stop. At least "make even" in this trade;
//
// Exit: 1. Initial stop -- "Stop" when down first, close below stop price.
// 2. Target reached -- "TR" when up quickly, Target reached
// 3. make even -- "ME" when small up and down, Exit at entry Price
// 4. Small Winner -- "SM" when EMA above Entry price, Exit when close below EMA, and higher than entry Price
//
// --------------
// Because there are too many flags in up trend study already, I will create a down trend script separately.
// Uptrend study is good for SPY, QQQ, and strong stocks.
// Downtrend Study is good for weak ETF, stock, and (-2x, -3x) ETFs, such as FAZ, UVXY, USO, XOP, AAL, CCL
// -----------------------------------------------------------------------------------------------------------------
// Back test Weekly and daily chart for SPY, QQQ
// If it will be a big Gap down or a big down move, stop at close price could be a big loss; But this way could avoid may noise, to stay in a trending position longer.
// When buy in trending move, the position could be hold for a big range.
// The best samples are SPY and QQQ daily chart.
//
// Better to use another way to verify the long term up trend first.
// For single stock, it is better shows more relative strength than SPY.
Index Weighted Returns [SS]This is the index weighted return indicator.
It supports a few ETFs, including:
SPY/SPX
QQQ/NDX
ARKK
SMH
UFO
XBI
QTUM
What it does is it takes the top, approximately 40, of the most heavily weighted tickers on the ETF, monitors their returns using the request security function, and then uses their weight to calculate the synthetic returns of the ETF of interest.
For example, in the chart we have SMH.
The indicator is looking at the top weighted tickers of SMH, calculating their returns, adjusting it for their individual weight on SMH and then predicting the expected return of SMH based on the weighing and holding's returns themselves.
How to Use it
The indicator is pretty straight forward, you select which ever index you are on and your desired timeframe (you can do as low as 30-Minutes or as high as monthly or quarterly).
The indicator will then retrieve the top holdings for that ticker, their corresponding weights and calculate the expected daily return based on the weight and return of these tickers.
It will plot this return for you on the chart.
Other Options
There is an optional table for you to view the actual weight, ticker composition and period returns for each of the top x tickers for an index. You can simply toggle "Show Table" in the settings menu, and it will show you the list of all tickers included, their period returns and their weight on the ETF.
Tips for Use
Works well to see when an index may be over the actual top weighted tickers, implying a pullback/sell, or under. For example:
SPY today fell well below its top tickers and is currently rallying back up to the expected close range.
You can see in the primary chart, SMH fell below and returned to its balance, being at the expected close range based on its component tickers.
That is the indicator!
Its simple but powerful!
Hope you enjoy and as always, safe trades!
Zarattini Intra-day Threshold Bands (ZITB)This indicator implements the intraday threshold band methodology described in the research paper by Carlo Zarattini et al.
Overview:
Plots intraday threshold bands based on daily open/close levels.
Supports visualization of BaseUp/BaseDown levels and Threshold Upper/Lower bands.
Optional shading between threshold bands for easier interpretation.
Usage Notes / Limitations:
Originally studied on SPY (US equities), this implementation is adapted for NSE intraday market timing, specifically the NIFTY50 index.
Internally, 2-minute candles are used if the chart timeframe is less than 2 minutes.
Values may be inaccurate if the chart timeframe is more than 1 day.
Lookback days are auto-capped to avoid exceeding TradingView’s 5000-bar limit.
The indicator automatically aligns intraday bars across multiple days to compute average deltas.
For better returns, it is recommended to use this indicator in conjunction with VWAP and a volatility-based position sizing mechanism.
Can be used as a reference for Open Range Breakout (ORB) strategies.
Customizations:
Toggle plotting of base levels and thresholds.
Toggle shading between thresholds.
Line colors and styles can be adjusted in the Style tab.
Intended for educational and research purposes only.
This indicator implements the approach described in the research paper by Zarattini et al.
Note: This implementation is designed for the NSE NIFTY50 index. While Zarattini’s original study was conducted on SPY, this version adapts the methodology for the Indian market.
Methodology Explanation
This indicator is primarily designed for Open Range Breakout (ORB) strategies.
Base Levels
BaseUp = Maximum of today’s open and previous day’s close
BaseDown = Minimum of today’s open and previous day’s close
Delta Calculation
For the past 14 trading days (lookbackDays), the delta for each intraday candle is calculated as the ab
solute difference from the close of the first candle of that day.
Average Delta
For a given intraday time/candle today, deltaAvg is computed as the average of the deltas at the same time across the previous 14 days.
Threshold Bands
ThresholdUp = BaseUp + deltaAvg
ThresholdDown = BaseDown − deltaAvg
Signals
Spot price moving above ThresholdUp → Long signal
Spot price moving below ThresholdDown → Short signal
Tip: For better returns, combine this indicator with VWAP and a volatility-based position sizing mechanism.
Trading Toolkit - Comprehensive AnalysisTrading Toolkit – Comprehensive Analysis
A unified trading analysis toolkit with four sections:
📊 Company Info
Fundamentals, market cap, sector, and earnings countdown.
📅 Performance
Date‑range analysis with key metrics.
🎯 Market Sentiment
CNN‑style Fear & Greed Index (7 components) + 150‑SMA positioning.
🛡️ Risk Levels
ATR/MAD‑based stop‑loss and take‑profit calculations.
Key Features
CNN‑style Fear & Greed approximation using:
Momentum: S&P 500 vs 125‑DMA
Price Strength: NYSE 52‑week highs vs lows
Market Breadth: McClellan Volume Summation (Up/Down volume)
Put/Call Ratio: 5‑day average (inverted)
Volatility: VIX vs 50‑DMA (inverted)
Safe‑Haven Demand: 20‑day SPY–IEF return spread
Junk‑Bond Demand: HY vs IG credit spread (inverted)
Normalization: z‑score → percentile (0–100) with ±3 clipping.
CNN‑aligned thresholds:
Extreme Fear: 0–24 | Fear: 25–44 | Neutral: 45–54 | Greed: 55–74 | Extreme Greed: 75+.
Risk tools: ATR & MAD volatility measures with configurable multipliers.
Flexible layout: vertical or side‑by‑side columns.
Data Sources
S&P 500: CBOE:SPX or AMEX:SPY
NYSE: INDEX:HIGN, INDEX:LOWN, USI:UVOL, USI:DVOL
Options: USI:PCC (Total PCR), fallback INDEX:CPCS (Equity PCR)
Volatility: CBOE:VIX
Treasuries: NASDAQ:IEF
Credit Spreads: FRED:BAMLH0A0HYM2, FRED:BAMLC0A0CM
Risk Management
ATR risk bands: 🟢 ≤3%, 🟡 3–6%, ⚪ 6–10%, 🟠 10–15%, 🔴 >15%
MAD‑based stop‑loss and take‑profit calculations.
Author: Daniel Dahan
(AI Generated, Merged & enhanced version with CNN‑style Fear & Greed)
RSI Colored by Relative StrengthThis indicator enhances the traditional RSI by combining it with Relative Strength (RS) — the ratio of an asset’s price to a chosen benchmark (e.g., SPY, QQQ, BTCUSD) — to create a more accurate, powerful, and dynamic momentum confirmation tool.
Instead of relying solely on RSI’s internal momentum, this version color-codes RSI values and backgrounds based on whether the asset is outperforming, underperforming, or neutral relative to the benchmark, not only identifying the RSI value, but color codes it in relation to the overall market to give more accurate confirmations.
• RS > 1 → The asset is outperforming the benchmark (relative strength).
• RS < 1 → The asset is underperforming.
• RS ≈ 1 → Neutral or moving in sync with the benchmark.
Gradient background zones:
• Green tones = outperformance (RS > 1).
• Red tones = underperformance (RS < 1).
• Gray neutral band = parity (RS ≈ 1).
Intensity adjusts dynamically based on how far RS deviates from 1, giving an at-a-glance view of market leadership strength.
• Color-coded RSI line: Green when RS > 1, red when RS < 1.
• Optional markers and labels show confirmed RS+RSI crossovers with smart spacing to prevent clutter.
• Alerts included for bullish and bearish RS+RSI alignment events.
How to Use
1. Add your preferred benchmark symbol (default: SPY).
2. Move this indicator into the same pane as your RSI (No need to overlay, does so automatically) and can also be used standalone.
3. Watch for:
• Green RSI & background: Significant momentum strength (asset trending upward and outpacing the market).
• Red RSI & background: False or insignificant momentum (asset lagging).
• Gray zone: neutral phase — consolidation or rotation period.
Use this as a trend-confirmation filter rather than a signal generator.
For example:
• Confirm and refine breakout entries when RS > 1 (RSI support = stronger conviction).
• Take profits when RSI weakens and RS slips below 1.
Market Sentiment Suite: PCCE + VIX + Signals📊 Market Sentiment Suite: PCCE + VIX + Signals
Identify fear, greed, and turning points in the market.
This script combines the CBOE Put/Call Ratio (PCCE) with the VIX volatility index percentile to visualize crowd sentiment and highlight potential market tops and bottoms.
🔍 Key Features
Dual-indicator design: PCCE + normalized VIX percentile
Color-coded zones for Greed (<0.6) and Fear (>1.2)
Automatic alert signals when sentiment reaches extremes
Live sentiment table displaying real-time PCCE and VIX data
Works seamlessly on SPX, SPY, QQQ, or any major index
🧠 How to Use
When PCCE > 1.2 and VIX percentile > 80%, fear is extreme → possible market bottom
When PCCE < 0.6 and VIX percentile < 20%, greed is extreme → possible market top
Perfect for contrarian traders, sentiment analysts, and swing traders
✨ Best Timeframe: Daily
⚙️ Markets: SPX / SPY / QQQ / Global Indexes
📈 Type: Contrarian Sentiment Indicator
Real Relative Strength Breakout & BreakdownReal Relative Strength Breakout & Breakdown Indicator
What It Does
Identifies high-probability trading setups by combining:
Technical Breakouts/Breakdowns - Price breaking support/resistance zones
Real Relative Strength (RRS) - Volatility-adjusted performance vs benchmark (SPY)
Key Insight: The strongest signals occur when price action contradicts market direction—breakouts during market weakness or breakdowns during market strength show exceptional buying/selling pressure.
Real Relative Strength (RRS) Calculation
RRS measures outperformance/underperformance on a volatility-adjusted basis:
Power Index = (Benchmark Price Move) / (Benchmark ATR)
RRS = (Stock Price Move - Power Index × Stock ATR) / Stock ATR
RRS (smoothed) = 3-period SMA of RRS
Interpretation:
RRS > 0 = Relative Strength (outperforming)
RRS < 0 = Relative Weakness (underperforming)
Signal Types
🟢 Large Green Triangle (Premium Long)
Condition: Breakout + RRS > 0
Meaning: Stock breaking resistance WHILE outperforming benchmark
Best when: Market is weak but stock breaks out anyway = exceptional strength
Use: High-conviction long entries
🔵 Small Blue Triangle (Standard Breakout)
Condition: Breakout + RRS ≤ 0
Meaning: Breaking resistance but underperforming benchmark
Typical: "Rising tide lifts all boats" scenario during market rally
Use: Lower conviction—may just be following market
🟠 Large Orange Triangle (Premium Short)
Condition: Breakdown + RRS < 0
Meaning: Stock breaking support WHILE underperforming benchmark
Best when: Market is strong but stock breaks down anyway = severe weakness
Use: High-conviction short entries
🔴 Small Red Triangle (Standard Breakdown)
Condition: Breakdown + RRS ≥ 0
Meaning: Breaking support but outperforming benchmark
Typical: Stock falling less than market during selloff
Use: Lower conviction—may recover when market does
Why Large Triangles Matter
Large signals show divergence = genuine institutional flow:
Stock breaking out while market falls → Aggressive buying despite headwinds
Stock breaking down while market rallies → Aggressive selling despite tailwinds
These setups reveal where real conviction lies, not just momentum-following behavior.
Quick Settings
RRS: 12-period lookback, 3-bar smoothing, vs SPY
Breakouts: 5-period pivots, 200-bar lookback, 3% zone width, 2 minimum tests
Portfolio Simulator & BacktesterMulti-asset portfolio simulator with different metrics and ratios, DCA modeling, and rebalancing strategies.
Core Features
Portfolio Construction
Up to 5 assets with customizable weights (must total 100%)
Support for any tradable symbol: stocks, ETFs, crypto, indices, commodities
Real-time validation of allocations
Dollar Cost Averaging
Monthly or Quarterly contributions
Applies to both portfolio and benchmark for fair comparison
Model real-world investing behavior
Rebalancing
Four strategies: None, Monthly, Quarterly, Yearly
Automatic rebalancing to target weights
Transaction cost modeling (customizable fee %)
Key Metrics Table
CAGR: Annualized compound return (S&P 500 avg: ~10%)
Alpha: Excess return vs. benchmark (positive = outperformance)
Sharpe Ratio: Return per unit of risk (>1.0 is good, >2.0 excellent)
Sortino Ratio: Like Sharpe but only penalizes downside (better metric)
Calmar Ratio: CAGR / Max Drawdown (>1.0 good, >2.0 excellent)
Max Drawdown: Largest peak-to-trough decline
Win Rate: % of positive days (doesn't indicate profitability)
Visualization
Dual-chart comparison - Portfolio vs. Benchmark
Dollar or percentage view toggle
Customizable colors and line width
Two tables: Statistics + Asset Allocation
Adjustable table position and text size
🚀 Quick Start Guide
Enter 1-5 ticker symbols (e.g., SPY, QQQ, TLT, GLD, BTCUSD)
Make sure percentage weights total 100%
Choose date range (ensure chart shows full period - zoom out!)
Configure DCA and rebalancing (optional)
Select benchmark (default: SPX)
Analyze results in statistics table
💡 Pro Tips
Chart data matters: Load SPY or your longest-history asset as main chart
If you select an asset that was not available for the selected period, the chart will not show up! E.g. BTCUSD data: Only available from ~2017 onwards.
Transaction fees: 0.1% default (adjust to match your broker)
⚠️ Important Notes
Requires visible chart data (zoom out to show full date range)
Limited by each asset's historical data availability
Transaction fees and costs are modeled, but taxes/slippage are not
Past performance ≠ future results
Use for research and education only, not financial advice
Let me know if you have any suggestions to improve this simulator.
Market Sentiment Trend Gauge [LevelUp]Market Sentiment Trend Gauge simplifies technical analysis by mathematically combining momentum, trend direction, volatility position, and comparison against a market benchmark, into a single trend score from -100 to +100. Displayed in a separate pane below your chart, it resolves conflicting signals from RSI, moving averages, Bollinger Bands, and market correlations, providing clear insights into trend direction, strength, and relative performance.
THE PROBLEM MARKET SENTIMENT TREND GAUGE (MSTG) SOLVES
Traditional indicators often produce conflicting signals, such as RSI showing overbought while prices rise or moving averages indicating an uptrend despite market underperformance. MSTG creates a weighted composite score to answer: "What's the overall bias for this asset?"
KEY COMPONENTS AND WEIGHTINGS
The trend score combines
▪ Momentum (25%): Normalized 14-period RSI, capped at ±100.
▪ Trend Direction (35%): 10/21-period EMA relationships,
▪ Volatility Position (20%): Price position, 20-period Bollinger Bands, capped at ±100.
▪ Market Comparison (20%): Daily performance vs. SPY benchmark, capped at ±100.
Final score = Weighted sum, smoothed with 5-period EMA.
INTERPRETING THE MSTG CHART
Trend Score Ranges and Colors
▪ Bright Green (>+30): Strong bullish; ideal for long entries.
▪ Light Green (+10 to +30): Weak bullish; cautiously favorable.
▪ Gray (-10 to +10): Neutral; avoid directional trades.
▪ Light Red (-10 to -30): Weak bearish; exercise caution.
▪ Bright Red (<-30): Strong bearish; high-risk for longs, consider shorts.
Reference Lines
▪ Zero Line (Gray): Separates bullish/bearish; crossovers signal trend changes.
▪ ±30 Lines (Dotted, Green/Red): Thresholds for strong trends.
▪ ±60 Lines (Dashed, Green/Red): Extreme strength zones (not overbought/oversold); manage risk (tighten stops, partial profits) but trends may persist.
Background Colors
▪ Green Tint (>+20): Bullish environment; favorable for longs.
▪ Red Tint (<-20): Bearish environment; caution for longs.
▪ Light Gray Tint (-20 to +20): Neutral/range-bound; wait for signals.
Extreme Readings vs. Traditional Signals
MSTG ±60 indicates maximum alignment of all factors, not reversals (unlike RSI >70/<30). Use for risk management, not automatic exits. Strong trends can sustain extremes; breakdowns occur below +30 or above -30.
INFORMATION TABLE INTERPRETATION
Trend Score Symbols
▲▲ >+30 strong bullish
▲ +10 to +30
● -10 to +10 neutral
▼ -30 to -10
▼▼ <-30 strong bearish
Colors: Green (positive), White (neutral), Red (negative).
Momentum Score
+40 to +100 strong bullish
0 to +40 moderate bullish
-40 to 0 moderate bearish
-100 to -40 strong bearish
Market vs. Stock
▪ Green: Stock outperforming market
▪ Red: Stock underperforming market
Example Interpretations:
-0.45% / +1.23% (Green): Market down, stock up = Strong relative strength
+2.10% / +1.50% (Red): Both rising, but stock lagging = Relative weakness
-1.20% / -0.80% (Green): Both falling, but stock declining less = Defensive strength
UNDERSTANDING EXTREME READINGS VS TRADITIONAL OVERBOUGHT/OVERSOLD
⚠️ Critical distinctions
Traditional Overbought/Oversold Signals:
▪ Single indicator (like RSI >70 or <30) showing momentum excess
▪ Often suggests immediate reversal or pullback expected
▪ Based on "price moved too far, too fast" concept
MSTG Extreme Readings (±60):
▪ Composite alignment of 4 different factors (momentum, trend, volatility, relative strength)
▪ Indicates maximum strength in current direction
▪ NOT a reversal signal - means "all systems extremely bullish/bearish"
Key Differences:
▪ RSI >70: "Price got ahead of itself, expect pullback"
▪ MSTG >+60: "Everything is extremely bullish right now"
▪ Strong trends can maintain extreme MSTG readings during major moves
▪ Breakdowns happen when MSTG falls below +30, not at +60
Proper Usage of Extreme Readings:
▪ Risk Management: Tighten stops, take partial profits
▪ Position Sizing: Reduce new position sizes at extremes
▪ Trend Continuation: Watch for sustained extreme readings in strong markets
▪ Exit Signals: Look for breakdown below +30, not reversal from +60
TRADING WITH MSTG
Quick Assessment
1. Check trend symbol for direction.
2. Confirm momentum strength.
3. Note relative performance color.
Examples:
▲▲ 55.2 (Green), Momentum +28.4, Outperforming: Strong buy setup.
▼ -18.6 (Red), Momentum -43.2, Underperforming: Defensive positioning.
Entry Conditions
▪ Long: stock outperforming market
- Score >+30 (bright green)
- Sustained green background
- ▲▲ symbol,
▪ Short: stock underperforming market
- Score <-30 (bright red)
- Sustained red background
- ▼▼ symbol
Avoid Trading When:
▪ Gray zone (-10 to +10).
▪ Rapid color changes or frequent zero-line crosses (choppy market).
▪ Gray background (range-bound).
Risk Management:
▪ Stop Loss: Exit on zero-line crossover against position.
▪ Take Profit: Partial at ±60 for risk control.
▪ Position Sizing: Larger when signals align; smaller in extremes or mixed conditions.
KEY ADVANTAGES
▪ Unified View: Weighted composite reduces noise and conflicts.
▪ Visual Clarity: 5-color system with gradients for rapid recognition.
▪ Market Context: Relative strength vs. SPY identifies leaders/laggards.
▪ Flexibility: Works across timeframes (1-min to weekly); customizable table.
▪ Noise Reduction: EMA smoothing minimizes false signals.
EXAMPLES
Strong Bull: Trend Score 71.9, Momentum Score 76.9
Neutral: Trend Score 0.1, Momentum Score -9.2
Strong Bear: Trend Score -51.7, Momentum Score -51.5
PERFORMANCE AND LIMITATIONS
Strengths: Trend identification, noise reduction, relative performance versus market.
Limitations: Lags at turning points, less effective in extreme volatility or non-trending markets.
Recommendations: View on multiple timeframes, combine with price action and fundamentals.
DynamoSent DynamoSent Pro+ — Professional Listing (Preview)
— Adaptive Macro Sentiment (v6)
— Export, Adaptive Lookback, Confidence, Boxes, Heatmap + Dynamic OB/OS
Preview / Experimental build. I’m actively refining this tool—your feedback is gold.
If you spot edge cases, want new presets, or have market-specific ideas, please comment or DM me on TradingView.
⸻
What it is
DynamoSent Pro+ is an adaptive, non-repainting macro sentiment engine that compresses VIX, DXY and a price-based activity proxy (e.g., SPX/sector ETF/your symbol) into a 0–100 sentiment line. It scales context by volatility (ATR%) and can self-calibrate with rolling quantile OB/OS. On top of that, it adds confidence scoring, a plain-English Context Coach, MTF agreement, exportable sentiment for other indicators, and a clean Light/Dark UI.
Why it’s different
• Adaptive lookback tracks regime changes: when volatility rises, we lengthen context; when it falls, we shorten—less whipsaw, more relevance.
• Dynamic OB/OS (quantiles) self-calibrates to each instrument’s distribution—no arbitrary 30/70 lines.
• MTF agreement + Confidence gate reduce false positives by highlighting alignment across timeframes.
• Exportable output: hidden plot “DynamoSent Export” can be selected as input.source in your other Pine scripts.
• Non-repainting rigor: all request.security() calls use lookahead_off + gaps_on; signals wait for bar close.
Key visuals
• Sentiment line (0–100), OB/OS zones (static or dynamic), optional TF1/TF2 overlays.
• Regime boxes (Overbought / Oversold / Neutral) that update live without repaint.
• Info Panel with confidence heat, regime, trend arrow, MTF readout, and Coach sentence.
• Session heat (Asia/EU/US) to match intraday behavior.
• Light/Dark theme switch in Inputs (auto-contrasted labels & headers).
⸻
How to use (examples & recipes)
1) EURUSD (swing / intraday blend)
• Preset: EURUSD 1H Swing
• Chart: 1H; TF1=1H, TF2=4H (default).
• Proxies: Defaults work (VIX=D, DXY=60, Proxy=D).
• Dynamic OB/OS: ON at 20/80; Confidence ≥ 55–60.
• Playbook:
• When sentiment crosses above 50 + margin with Δ ≥ signalK and MTF agreement ≥ 0.5, treat as trend breakout.
• In Oversold with rising Coach & TF agreement, take fade longs back toward mid-range.
• Alerts: Enable Breakout Long/Short and Fade; keep cooldown 8–12 bars.
2) SPY (daytrading)
• Preset: SPY 15m Daytrade; Chart: 15m.
• VIX (D) matters more; preset weights already favor it.
• Start with static 30/70; later try dynamic 25/75 for adaptive thresholds.
• Use Coach: in US session, when it says “Overbought + MTF agree → sell rallies / chase breakouts”, lean momentum-continuation after pullbacks.
3) BTCUSD (crypto, 24/7)
• Preset: BTCUSD 1H; Chart: 1H.
• DXY and BTC.D inform macro tone; keep Carry-forward ON to bridge sparse ticks.
• Prefer Dynamic OB/OS (15/85) for wider swings.
• Fade signals on weekend chop; Breakout when Confidence > 60 and MTF ≥ 1.0.
4) XAUUSD (gold, macro blend)
• Preset: XAUUSD 4H; Chart: 4H.
• Weights tilt to DXY and US10Y (handled by preset).
• Coach + MTF helps separate trend legs from news pops.
⸻
Best practices
• Theme: Switch Light/Dark in Inputs; the panel adapts contrast automatically.
• Export: In another script → Source → DynamoSent Pro+ → DynamoSent Export. Build your own filters/strategies atop the same sentiment.
• Dynamic vs Static OB/OS:
• Static 30/70: fast, universal baseline.
• Dynamic (quantiles): instrument-aware; use 20/80 (default) or 15/85 for choppy markets.
• Confidence gate: Start at 50–60% to filter noise; raise when you want only A-grade setups.
• Adaptive Lookback: Keep ON. For ultra-liquid indices, you can switch it OFF and set a fixed lookback.
⸻
Non-repainting & safety notes
• All request.security() calls use lookahead=barmerge.lookahead_off and gaps=barmerge.gaps_on.
• No forward references; signals & regime flips are confirmed on bar close.
• History-dependent funcs (ta.change, ta.percentile_linear_interpolation, etc.) are computed each bar (not conditionally).
• Adaptive lookback is clamped ≥ 1 to avoid lowest/highest errors.
• Missing-data warning triggers only when all proxies are NA for a streak; carry-forward can bridge small gaps without repaint.
⸻
Known limits & tips
• If a proxy symbol isn’t available on your plan/exchange, you’ll see the NA warning: choose a different symbol via Symbol Search, or keep Carry-forward ON (it defaults to neutral where needed).
• Intraday VIX is sparse—using Daily is intentional.
• Dynamic OB/OS needs enough history (see dynLenFloor). On short histories it gracefully falls back to static levels.
Thanks for trying the preview. Your comments drive the roadmap—presets, new proxies, extra alerts, and integrations.
1D Enter AlertsThis is only a remaining of an experiment. I had real swing enter alerts, but it just made more sense to use classic TradingView alerts for horizontal / trendline / SMA breaks.
(Btw you can set up a horizontal alert in TradingView just by hovering the mouse on the chart so it's at the price point you aim for, and pressing "Alt + A").
Once this horizontal alert triggered I would usually wait for confirmation of the move on the 5m. If it's f. e. a break of an SMA and I'm not convinced yet, I might wait until end of the day. For exactly that purpose the following alert comes in handy:
"X Candle Close":
Is triggered 15m before market close - good reminder to check a stock again to see whether a resistance / support break was valid - and the stock should be entered as a swing, or maybe whether it should be closed as a loss.
"Z Trend Change: UP" + "Z Trend Change: DOWN":
Same as on 5m Exit Alert: meant to be only applied on SPY, and to have it set up to never end!
Criteria:
SPY broke through daily EMA 8 or daily SMA today, indicating an important short-term change on the daily chart.
Is triggered 15m before market close
More infos: www.reddit.com
5m Exit AlertsThese can help a lot with Daytrading if you don't have a price target in mind when there's no clear resistance / support nearby, and you don't trust the market enough to hold it as a swing trade.
Keep in mind that its main purpose is to give you a "warning" that it might be good to look at your screen, instead of guaranteeing you "now is the best time to exit". You won't reach high winning stats by blindly following this alert.
"A Exit LONG":
(I'm using letters instead of numbers for all Exit alerts to make sure I don't accidentally confuse Enter and Exit alerts).
There are 4 conditions that might trigger it. The reasons show up in the exit alert message (unfortunately only as a number, since alert messages can't have "dynamic text" in TradingView), and can also be displayed as symbols in the chart (see image above - make sure to enable "Show Signals" in the indicator settings first though).
Here are the conditions sorted from best to worst:
Technical reversal: Bearish Hammer candle with Volume > 2 * avg volume (of last 30 candles), when 5m candle closed. Reversal very likely. This is usually the best time to take your gains for the rest of the day.
EMA 3/8 cross: standard 5m EMA 3/8 cross, indicating a trend reversal, or at least a pullback. Can also be helpful to detect double tops / double bottoms.
Trailing Stop Loss: Crossed below 30m EMA 8, 5m candle closed. This is a "fallback" alert in case EMA 3 was already below EMA 8 before you set up the alert. It's not unlikely that the stock might go further down to VWAP, so depending on the chart and market this might be a good opportunity to save the gains you have left.
"Final" Stop Loss: Crossed below VWAP. Usually not a good sign. If you entered around VWAP your losses shouldn't be big yet, but if you plan on holding the stock the Daily chart and market outlook should better be quite convincing, and you wouldn't have needed to use this alert in the first place.
Keep in mind these work of course best if you picked a "good" stock: clear movement, tidy price action, high volume. Otherwise alerts are more likely to be triggered redundantly.
Always consider how the market and stock looks like, then decide whether to exit or not! Usually it makes sense to wait a bit to see f. e. whether the stock bounces off the 30m EMA 8, and it's just a pullback.
"B Enter SHORT":
Similar, but for shorts...
"C 1m Scalp LONG" + "D 1m Scalp SHORT":
Simple Scalping alert for EMA 3/8 cross on a 1m chart - but without needing to use a 1m chart to set it up!
Unfortunately it's not as accurate as manually setting this alert up on a 1m chart. It might be an advantage though that it sometimes is triggered 1-2 min later, since this means there are less redundant triggerings.
It can be useful esp. on high momentum trades, but I honestly haven't used it in a looong while.
"X Candle Close":
same as in 5m Entry indicator: triggered when 5m candle is confirmed
"Z Trend Change: UP" + "Z Trend Change: DOWN":
This one is meant to be used only on SPY: It alerts you when SPY is changing its trending direction, which might mean entering or closing existing trades.
I have therefore set it up to never end (by setting it to "Once Per Bar Close" in the alert settings).
It's based on DMI positive or negative being > 25. I had it based on VWAP at the beginning, but there were days where it was triggered every 5 minutes...
More infos: www.reddit.com
Same-Direction Candles (Two Symbols)Same-Direction Candles (Two Symbols)
What it does
Highlights bars on your chart when two symbols print the same candle direction on the chosen timeframe:
Both Bullish → one color
Both Bearish → another color
Great for spotting synchronous moves (e.g., NQ & ES, QQQ & SPY), or confirming risk-on/risk-off with an inverse asset (e.g., NQ vs DXY with inversion).
How it works
For each bar, the script checks whether close > open (bullish), close < open (bearish), or equal (doji) for:
The chart’s symbol
A second symbol pulled via request.security() (optionally on a different timeframe)
If both symbols are bullish, it paints Bull color; if both are bearish, it paints Bear color. Dojis can be ignored.
Inputs
Second symbol: Ticker to compare (e.g., CME_MINI:ES1!, NASDAQ:QQQ, TVC:DXY).
Second symbol timeframe: Leave blank to use the chart’s TF, or set a specific one (e.g., 5, 15, D).
Invert second symbol direction?: Flips the second symbol’s candle direction (useful for inversely related assets like DXY vs indices).
Ignore doji candles: Skip highlights when either candle is neutral (open == close).
Coloring options: Toggle bar coloring and/or background shading; pick colors; set background transparency.
Alerts
Three alert conditions:
Both Bullish
Both Bearish
Both Same Direction (bullish or bearish)
Create alerts from the Add Alert dialog after adding the script.
Use cases
Index confluence: NQ & ES moving in lockstep
ETF confirmation: QQQ & SPY agreement
FX/Index risk signals: Invert DXY against NQ/ES to see when equity strength aligns with dollar weakness
Tips
For mixed timeframes (e.g., chart on 1m, ES on 5m), set Second symbol timeframe to the higher TF to reduce noise.
Keep Ignore dojis on for cleaner signals.
Combine with your own entry rules (structure, FVGs, liquidity sweeps).
Notes
Works on any symbol/timeframe supported by TradingView.
Overlay script; no strategy/entries/exits are executed.
Past performance ≠ future results; for education only.
Version: 1.0 – initial release (bar/background highlights, doji filter, inversion, multi-TF support, alerts).
Overnight Gap Dominance Indicator (OGDI)The Overnight Gap Dominance Indicator (OGDI) measures the relative volatility of overnight price gaps versus intraday price movements for a given security, such as SPY or SPX. It uses a rolling standard deviation of absolute overnight percentage changes divided by the standard deviation of absolute intraday percentage changes over a customizable window. This helps traders identify periods where overnight gaps predominate, suggesting potential opportunities for strategies leveraging extended market moves.
Instructions
A
pply the indicator to your TradingView chart for the desired security (e.g., SPY or SPX).
Adjust the "Rolling Window" input to set the lookback period (default: 60 bars).
Modify the "1DTE Threshold" and "2DTE+ Threshold" inputs to tailor the levels at which you switch from 0DTE to 1DTE or multi-DTE strategies (default: 0.5 and 0.6).
Observe the OGDI line: values above the 1DTE threshold suggest favoring 1DTE strategies, while values above the 2DTE+ threshold indicate multi-DTE strategies may be more effective.
Use in conjunction with low VIX environments and uptrend legs for optimal results.
US Macro Cycle (Z-Score Model)US Macro Cycle (Z-Score Model)
This indicator tracks the US economic cycle in real time using a weighted composite of seven macro and market-based indicators, each converted into a rolling Z-score for comparability. The model identifies the current phase of the cycle — Expansion, Peak, Contraction, or Recovery — and suggests sector tilts based on historical performance in each phase.
Core Components:
Yield Curve (10y–2y): Positive & steepening = growth; inverted = slowdown risk.
Credit Spreads (HYG/LQD): Tightening = risk-on; widening = risk-off.
Sector Leadership (Cyclicals vs. Defensives): Measures market leadership regime.
Copper/Gold Ratio: Higher copper = growth signal; higher gold = defensive.
SPY vs. 200-day MA: Equity trend strength.
SPY/IEF Ratio: Stocks vs. bonds relative strength.
VIX (Inverted): Low/falling volatility = supportive; high/rising = risk-off.
Methodology:
Each series is transformed into a rolling Z-score over the selected lookback period (optionally using median/MAD for robustness and winsorization to clip outliers).
Z-scores are combined using user-defined weights and normalized.
The smoothed composite is compared against phase thresholds to classify the macro environment.
Features:
Customizable Weights: Emphasize the indicators most relevant to your strategy.
Adjustable Thresholds: Fine-tune cycle phase definitions.
Background Coloring: Visual cue for the current phase.
Summary Table: Displays composite Z, confidence %, and individual Z-scores.
Alerts: Trigger when the phase changes, with details on the composite score and recommended tilt.
Use Cases:
Align sector rotation or relative strength strategies with the macro backdrop.
Identify favorable or defensive phases for tactical allocation.
Monitor macro turning points to manage portfolio risk.
It's doesn't fill nan gaps so there is quite a bit of zeroes, non-repainting.
Dynamic 5DMA/EMA with Color for Multiple Products🔹 Dynamic 5DMA/EMA with Slope-Based Coloring (All Timeframes)
This indicator plots a dynamic 5-period moving average that adapts intelligently to your chart's timeframe and product type — giving you a clean, slope-sensitive visual edge across intraday, daily, and weekly views.
✅ Key Features:
📈 Dynamic MA Length Scaling:
On intraday timeframes, the MA adjusts for your selected market session (RTH, ETH, VIX, or Futures), calculating a true 5-day average based on actual session length — not just a flat bar count.
🔄 Automatic Timeframe Detection:
Daily Chart: Uses standard 5DMA or 5EMA.
Weekly Chart: Applies a true 5-week MA.
Intraday Charts: Converts 5 days into bar-length equivalent dynamically.
🎨 Color-Coded Slope Logic:
Green = Rising MA (bullish slope)
Red = Falling MA (bearish slope)
Neutral slope = previous color held for visual continuity
No more guessing — direction is instantly clear.
⚠️ Built-In Slope Flip Alerts:
Set alerts when the slope of the MA turns up or down. Ideal for timing pullback entries or exits across any product.
⚙️ Session Settings for Proper Scaling:
Choose your product's market structure to ensure accurate 5-day conversion on intraday charts:
Stocks - RTH: 390 mins/day
Stocks - ETH: 780 mins/day
VIX: 855 mins/day
Futures: 1440 mins/day
This ensures the MA reflects 5 full trading days, regardless of session irregularities or bar interval.
📌 Why Use This Indicator?
Most MAs misrepresent trend direction on intraday charts because they assume static daily bar counts. This tool corrects that, then adds slope-based coloring to give you a fast, visual read on short-term momentum. Whether you’re swing trading SPY, scalping VIX, or position trading futures, this indicator keeps your view aligned with how institutions see moving averages across timeframes.
🔧 Best For:
VIX & volatility traders
Short-term SPY/SPX traders
Swing traders who value clean setups
Anyone wanting a true 5-day trend anchor on any chart
EMA Crossover Visual Setup (RS Clásico Confirmado)Overview
This script is designed to visually highlight classic swing trading setups based on the crossover of exponential moving averages (EMAs), with additional confirmation using Relative Strength (RS) compared to a benchmark asset (e.g., SPY).
The goal is to identify bullish momentum shifts that align both with technical structure (EMA crossover) and relative outperformance, helping traders focus on strong stocks in strong markets.
Logic
A signal is triggered when the following conditions are met:
The fast EMA (e.g., 10) crosses above the slow EMA (e.g., 20).
The closing price is above a third EMA (e.g., 50) to confirm bullish structure.
The asset's Relative Strength (RS) versus a benchmark is confirmed manually, based on an RSI comparison (not calculated inside the script).
The script is meant to be used alongside manual RS confirmation, using a secondary chart or overlay of the RS ratio.
Features
Visual labels and markers for clean charting of valid entry setups
Fully customizable EMA lengths
Optional highlighting of candle patterns near entry
Ideal for use with top-down analysis and watchlist filtering
Suggested Use
Works best on daily and 4H charts for swing trading setups
Combine with volume and price action analysis for higher probability trades
Use manual RS validation: confirm that the RSI of the selected stock is stronger than the RSI of SPY (or any benchmark of your choice)
Notes
This script does not execute trades or include stop loss/take profit logic, as it is intended for discretionary traders who want to visually scan for opportunities.
It also does not calculate RS internally, allowing flexibility in how you define strength (RS line, RSI comparison, or price ratio).
Advanced Correlation Monitor📊 Advanced Correlation Monitor - Pine Script v6
🎯 What does this indicator do?
Monitors real-time correlations between 13 different asset pairs and alerts you when historically strong correlations break, indicating potential trading opportunities or changes in market dynamics.
🚀 Key Features
✨ Multi-Market Monitoring
7 Forex Pairs (GBPUSD/DXY, EURUSD/GBPUSD, etc.)
6 Index/Stock Pairs (SPY/S&P500, DAX/NASDAQ, TSLA/NVDA, etc.)
Fully configurable - change any pair from inputs
📈 Dual Correlation Analysis
Long Period (90 bars): Identifies historically strong correlations
Short Period (6 bars): Detects recent breakdowns
Pearson Correlation using Pine Script v6 native functions
🎨 Intuitive Visualization
Real-time table with 6 information columns
Color coding: Green (correlated), Red (broken), Gray (normal)
Visual states: 🟢 OK, 🔴 BROKEN, ⚫ NORMAL
🚨 Smart Alert System
Only alerts previously correlated pairs (>80% historical)
Detects breakdowns when short correlation <80%
Consolidated alert with all affected pairs
🛠️ Flexible Configuration
Adjustable Parameters:
📅 Periods: Long (30-500), Short (2-50)
🎯 Threshold: 50%-99% (default 80%)
🎨 Table: Configurable position and size
📊 Symbols: All pairs are configurable
Default Pairs:
FOREX: INDICES/STOCKS:
- GBPUSD vs DXY • SPY vs S&P500
- EURUSD vs GBPUSD • DAX vs S&P500
- EURUSD vs DXY • DAX vs NASDAQ
- USDCHF vs DXY • TSLA vs NVDA
- GBPUSD vs USDCHF • MSFT vs NVDA
- EURUSD vs USDCHF • AAPL vs NVDA
- EURUSD vs EURCAD
💡 Practical Use Cases
🔄 Pairs Trading
Detects when strong correlations break for:
Statistical arbitrage
Mean reversion trading
Divergence opportunities
🛡️ Risk Management
Identifies when "safe" assets start moving independently:
Portfolio diversification
Smart hedging
Regime change detection
📊 Market Analysis
Understand underlying market structure:
Forex/DXY correlations
Tech sector rotation
Regional market disconnection
🎓 Results Interpretation
Reading Example:
EURUSD vs DXY: -98.57% → -98.27% | 🟢 OK
└─ Perfect negative correlation maintained (EUR rises when DXY falls)
TSLA vs NVDA: 78.12% → 0% | ⚫ NORMAL
└─ Lost tech correlation (divergence opportunity)
Trading Signals:
🟢 → 🔴: Broken correlation = Possible opportunity
Large difference: Indicates correlation tension
Multiple breaks: Market regime change
Rolling Log Returns [BackQuant]Rolling Log Returns
The Rolling Log Returns indicator is a versatile tool designed to help traders, quants, and data-driven analysts evaluate the dynamics of price changes using logarithmic return analysis. Widely adopted in quantitative finance, log returns offer several mathematical and statistical advantages over simple returns, making them ideal for backtesting, portfolio optimization, volatility modeling, and risk management.
What Are Log Returns?
In quantitative finance, logarithmic returns are defined as:
ln(Pₜ / Pₜ₋₁)
or for rolling periods:
ln(Pₜ / Pₜ₋ₙ)
where P represents price and n is the rolling lookback window.
Log returns are preferred because:
They are time additive : returns over multiple periods can be summed.
They allow for easier statistical modeling , especially when assuming normally distributed returns.
They behave symmetrically for gains and losses, unlike arithmetic returns.
They normalize percentage changes, making cross-asset or cross-timeframe comparisons more consistent.
Indicator Overview
The Rolling Log Returns indicator computes log returns either on a standard (1-period) basis or using a rolling lookback period , allowing users to adapt it to short-term trading or long-term trend analysis.
It also supports a comparison series , enabling traders to compare the return structure of the main charted asset to another instrument (e.g., SPY, BTC, etc.).
Core Features
✅ Return Modes :
Normal Log Returns : Measures ln(price / price ), ideal for day-to-day return analysis.
Rolling Log Returns : Measures ln(price / price ), highlighting price drift over longer horizons.
✅ Comparison Support :
Compare log returns of the primary instrument to another symbol (like an index or ETF).
Useful for relative performance and market regime analysis .
✅ Moving Averages of Returns :
Smooth noisy return series with customizable MA types: SMA, EMA, WMA, RMA, and Linear Regression.
Applicable to both primary and comparison series.
✅ Conditional Coloring :
Returns > 0 are colored green ; returns < 0 are red .
Comparison series gets its own unique color scheme.
✅ Extreme Return Detection :
Highlight unusually large price moves using upper/lower thresholds.
Visually flags abnormal volatility events such as earnings surprises or macroeconomic shocks.
Quantitative Use Cases
🔍 Return Distribution Analysis :
Gain insight into the statistical properties of asset returns (e.g., skewness, kurtosis, tail behavior).
📉 Risk Management :
Use historical return outliers to define drawdown expectations, stress tests, or VaR simulations.
🔁 Strategy Backtesting :
Apply rolling log returns to momentum or mean-reversion models where compounding and consistent scaling matter.
📊 Market Regime Detection :
Identify periods of consistent overperformance/underperformance relative to a benchmark asset.
📈 Signal Engineering :
Incorporate return deltas, moving average crossover of returns, or threshold-based triggers into machine learning pipelines or rule-based systems.
Recommended Settings
Use Normal mode for high-frequency trading signals.
Use Rolling mode for swing or trend-following strategies.
Compare vs. a broad market index (e.g., SPY or QQQ ) to extract relative strength insights.
Set upper and lower thresholds around ±5% for spotting major volatility days.
Conclusion
The Rolling Log Returns indicator transforms raw price action into a statistically sound return series—equipping traders with a professional-grade lens into market behavior. Whether you're conducting exploratory data analysis, building factor models, or visually scanning for outliers, this indicator integrates seamlessly into a modern quant's toolbox.
Out of the Noise Intraday Strategy with VWAP [YuL]This is my (naive) implementation of "Beat the Market An Effective Intraday Momentum Strategy for S&P500 ETF (SPY)" paper by Carlo Zarattini, Andrew Aziz, Andrea Barbon, so the credit goes to them.
It is supposed to run on SPY on 30-minute timeframe, there may be issues on other timeframes.
I've used settings that were used by the authors in the original paper to keep it close to the publication, but I understand that they are very aggressive and probably shouldn't be used like that.
Results are good, but not as good as they are stated in the paper (unsurprisingly?): returns are smaller and Sharpe is very low (which is actually weird given the returns and drawdown ratio), there are also margin calls if you enable margin check (and you should).
I have my own ideas of improvements which I will probably implement separately to keep this clean.
Failed 2U/2D + 50% Retrace Scanner📈 Multi-Ticker Failed 2U/2D Scanner with Daily Retrace & Market Breadth Table
This TradingView indicator is a multi-symbol price action scanner designed to catch high-probability reversal signals using The Strat’s failed 2U/2D patterns and daily 50% retrace logic, while also displaying market breadth metrics ( USI:TICK and USI:ADD ) for context.
Monitored Symbols:
SPY, SPX, QQQ, IWM, NVDA, AMD, AAPL, META, MSTR
🔍 Detection Logic
1. Failed 2U / Failed 2D Setups
Failed 2U: Price breaks above the previous candle’s high but closes back below the open → Bearish reversal
Failed 2D: Price breaks below the previous candle’s low but closes back above the open → Bullish reversal
Timeframes Monitored:
🕐 1-Hour (1H)
⏰ 4-Hour (4H)
2. Daily 50% Candle Retrace
Checks if price has retraced 50% or more of the previous day’s candle body
Highlights potential trend exhaustion or reversal confluence
3. Market Breadth Metrics (Display Only)
USI:TICK : Measures real-time NYSE up vs. down ticks
USI:ADD : Advance-Decline Line (net advancing stocks)
Not used in signal logic — just displayed in the table for overall market context
🖼️ Visual Elements
✅ Chart Markers
🔺 Red/Green Arrows for 1H Failed 2U/2D
🟨 Yellow Squares for 4H Failed 2U/2D
Visual markers are plotted directly on the relevant candles
📊 Signal Table
Lists all 9 tickers in rows
Columns for:
1H Signal
4H Signal
Daily 50% Retrace
USI:TICK Value
USI:ADD Value
Color-Coded Cells:
🔴 Red = Failed 2U
🟢 Green = Failed 2D
⚠️ Highlight if 50% Daily Retrace condition is true
🟦 Neutral-colored cells for TICK/ADD numeric display
🔔 Alerts
Hardcoded alerts fire when:
A 1H or 4H Failed 2U/2D is detected
The Daily 50% retrace condition is met
Each alert is labeled clearly by symbol and timeframe:
"META 4H Failed 2D"
"AAPL Daily 50% Retrace"
🎯 Use Case
Built for:
Reversal traders using The Strat
Swing or intraday traders watching hourly setups
Traders wanting quick visual context on market breadth without relying on it for confirmation
Monitoring multiple tickers in one clean view
This is scan 2
Add scan 1 for spx, spy, iwm, qqq, aapl
This indicator is not financial advice. Use the alerts to check out chart and when tickers trigger.
