Bollinger Band with Clouds, MA, and Selectable Buy/Sell AlertsBollinger Bands + Clouds + Multi-TF Signals — All in One Open-Source Indicator
This open-source indicator combines multiple technical tools into a single, flexible charting solution — giving traders clear context and the ability to customize or build upon the code. Perfect for intraday, swing, or longer-term analysis.
What it includes:
NMA (Normalized Moving Average): Adaptive, multi-length moving average for trend visualization.
VWAP: Volume-weighted average price for intraday anchoring.
Bollinger Bands: Customizable upper/lower bands with baseline and fill, providing dynamic volatility context.
Hull Moving Average + Kalman Filter: Smoothed trend detection with optional buy/sell shapes on crossovers.
Multi-Timeframe EMAs: Short, medium, and long-term EMAs from multiple timeframes, all in one view.
RSI & ATR: Optional visibility to track momentum and volatility.
Customizable Colors & Transparency: Every line, fill, and shape can be adjusted independently.
Selectable Buy/Sell Alerts: Configurable shapes and TradingView alert conditions for strategy observation.
Why you’ll love it:
Fully open-source: inspect, modify, and adapt the code for your own analysis.
Clean, informative visualizations that consolidate multiple indicators without cluttering your chart.
Flexible for intraday, swing, or longer-term timeframes.
Team Player Friendly:
This script is intentionally published as open-source to support the TradingView community. All code is fully visible — no proprietary sections — so anyone can learn from, modify, and contribute to the indicator.
Disclaimer:
This indicator is for informational purposes only. It does not constitute financial, trading, or investment advice. Users should conduct their own analysis before making trading decisions.
Indicators and strategies
PanjiAlgo V1 [Alpha]PanjjAlgo V1 is a price–action based signal toolkit designed for traders who want clean entries and structured risk management right on the chart.
The script combines engulfing candle patterns, RSI filters, ATR-based volatility and a candle-stability check to highlight high–conviction BUY and SELL zones only when the move is confirmed. To reduce noise, you can optionally disable repeating signals so clusters of overlapping arrows are filtered out.
Each signal automatically generates TP & SL levels based on ATR, with a configurable Risk:Reward ratio (1:1, 2:3, 1:2, 1:4) and a TP/SL multiplier to match your personal risk profile. TP & SL prices are plotted directly on the chart for quick decision-making.
Cosmetic controls allow you to customize label style (text bubble / triangle / arrow), label size and colors so PanjjiAlgo fits seamlessly into your chart layout, whether you are scalping intraday or swing trading higher timeframes.
This script is an experimental alpha version and is intended as a decision-support tool only. It does not guarantee profits and should always be used together with your own analysis and risk management.
OTT Volatility [RunRox]📊 OTT Volatility is an indicator developed by the RunRox team to pinpoint the most optimal time to trade across different markets.
OTT stands for Optimal Trade Time Volatility and is designed primarily for markets without a fixed trading session, such as cryptocurrencies that trade 24/7. At the same time, it works equally well on any other market.
🔶 The concept is straightforward. The indicator takes a specified number of historical periods (Samples) and statistically evaluates which hours of the day or which days show the highest volatility for the selected asset.
As a result, it highlights time windows with elevated volatility where traders can focus on searching for trade setups and building positions.
🔶 As the core volatility metric, the indicator uses ATR (Average True Range) to measure intraday volatility. Then it calculates the average ATR value over the last N Samples, creating a statistically stable estimate of typical volatility for the selected asset.
🔶 Statistically, during these highlighted periods the market shows higher-than-average volatility.
This means that in these time windows price is more likely to be subject to stronger moves and potential manipulation, making them attractive for active trade execution and position management.
⚠️ However, historical behavior does not guarantee future results.
These periods should be treated only as zones where volatility has a higher probability of being above normal, not as a promise of movement.
As shown in the screenshot above, the indicator also projects potential future volatility based on historical data. This helps you better plan your trading hours and align your activity with periods where volatility is statistically expected to be higher or lower.
🔶 Current Volatility – as shown in the screenshot above, you can also monitor the real-time volatility of the market without any statistical averaging.
On top of that, you can overlay the current volatility on top of the statistical volatility levels, which makes it easy to see whether the market is now trading in a high- or low-volatility regime relative to its usual behavior.
4 display modes – you can choose any visualization style that fits your trading workflow:
Absolute – displays the raw volatility values.
Relative – shows volatility relative to its typical levels.
Average Centered – centers volatility around its average value.
Trim Low Value – filters out low-volatility noise and highlights only more significant moves.
This indicator helps you define the most effective trading hours on any market by relying on historical volatility statistics.
Use it to quickly see when your market tends to be more active and to structure your trading sessions around those periods.
✅ We hope this tool becomes a useful part of your trading toolkit and helps you improve the quality of your decisions and timing.
Trinity KST (known sure thing) ProThis version is the **modern, low-lag evolution** of Martin Pring’s original 1990s KST.
Key differences from the classic KST
- Original uses only simple moving averages (SMA) on the four ROCs → quite a bit of lag.
- This version lets you replace every SMA with **ALMA, HEMA, TEMA, or EMA** → dramatically reduces lag while keeping the signal smooth and reliable.
- ALMA + progressive offset (0.90–0.97) is especially powerful because longer-term ROCs react almost as fast as the short ones without getting noisy.
- Histogram, clean labels inside the oscillator pane, alerts, background tint — all the quality-of-life stuff the original never had.
How traders actually use it in >2026
1. Primary signal: KST crosses above/below the red signal line = momentum shift (bullish/bearish).
2. Zero-line cross = confirmation of trend change (especially strong on daily/weekly).
3. Divergences between price and KST = high-probability reversals (works great on BTC, SPX, NAS100).
4. Histogram turning from red to green (or vice-versa) = early warning before the actual line cross.
Best settings I and many others run live right now (no table, just the winners)
- Crypto & Nasdaq: **ALMA + aggressiveness 0.93–0.96** → fastest valid signals.
- Forex pairs & Gold: **HEMA** (zero-lag Hull) → super clean, almost no whipsaw.
- Broad stock indices (SPX, DAX, etc.): **ALMA 0.91–0.93** or **TEMA** → perfect middle ground.
- Classic conservative daily/weekly swings: leave it on **SMA** (original Pring) or ALMA 0.88–0.90.
In short: same reliable KST logic you already know, but now it reacts 6–12 bars earlier and with far fewer fakeouts — exactly what you need in today’s fast markets.
Grok/Claude AI Neural Fusion ProGrok GXS Pure Technical Indicator - Simple Guide
What It Does
The GXS indicator is like having 5 expert traders looking at your chart at the same time, each focusing on a different aspect of the market. It combines all their opinions into one easy-to-read score that tells you when conditions are good for buying or selling.
The Five "Experts" Inside
Trend Expert (30%) - Watches if the market is moving strongly in one direction or just bouncing around aimlessly
Momentum Expert (25%) - Checks if the price movement has energy behind it, like detecting if a ball is speeding up or slowing down
Volume Expert (20%) - Makes sure real money is flowing behind price moves (not just fake movements with no conviction)
Price Structure Expert (15%) - Sees where price is relative to normal ranges and if volatility is extreme
Price Action Expert (10%) - Counts whether buyers or sellers have been winning lately
How It Helps Traders
The Main Score: The indicator gives you a number between -1 and +1:
Positive numbers (green) = Bullish conditions, market favors buyers
Negative numbers (red) = Bearish conditions, market favors sellers
Numbers near zero (gray) = Neutral, unclear direction
Visual Signals:
Green arrows pointing up = Strong buy opportunity detected
Red arrows pointing down = Strong sell opportunity detected
Green/red clouds = Shows when you're in a favorable zone for buying/selling
Background colors = Quick glance at overall market mood (green = bullish regime, red = bearish regime, white = neutral/choppy)
The Blue Line and Red/Green Bands: Think of these like guardrails on a highway. When price touches the lower green band, it's potentially oversold (cheap). When it touches the upper red band, it's potentially overbought (expensive).
Tips for Using It
For Beginners:
Wait for arrows - Don't trade unless you see a green (buy) or red (sell) arrow appear
Check the score table (top right) - Make sure the GXS score matches the arrow direction
Look at "Market" row - Only trade when it says "Trending" (ignore signals during "Ranging")
For Intermediate Traders:
Use the clouds as zones - Green cloud = look for buy setups, Red cloud = look for sell setups
Watch the volatility percentage - Green (low) = safer conditions, Red (high) = riskier conditions
Combine with higher timeframes - Check if the score is positive on both 1-hour and 4-hour charts for stronger confirmation
For Advanced Traders:
Turn on Debug Panel - See which of the 5 components is driving the score (helps understand WHY you're getting a signal)
Adjust the thresholds - Default is 0.15 for buy and -0.15 for sell. Make them stricter (0.25/-0.25) for fewer but higher quality signals
Watch for divergences - The indicator automatically detects when price makes new highs but momentum doesn't (warning sign of reversal)
What Makes This Different
Unlike simple indicators that just look at one thing (like RSI or MACD), this combines multiple perspectives into one score. It's like getting a medical diagnosis from 5 specialists instead of just one doctor.
The dynamic bands also expand and contract based on market conditions - they get wider when volatility is high (giving you more room) and tighter when markets are calm.
Common Mistakes to Avoid
❌ Trading every small score change - Wait for the score to clearly cross your threshold (default 0.15 or -0.15)
❌ Ignoring the "Market" indicator - Signals work best in trending markets, not choppy sideways markets
❌ Fighting the regime - If background is red (bearish regime), don't force buy signals. If background is green (bullish regime), be careful with sell signals.
❌ Using it alone - Always consider the bigger picture: news, overall market direction, and your risk management rules
Quick Start Checklist
✅ GXS Score crosses above 0.15 = Consider buying
✅ Price touches or crosses below lower band = Extra confirmation
✅ Green arrow appears = Entry signal
✅ "Market" says "Trending" = Good conditions
✅ RSI below 30 = Even better (oversold)
The opposite applies for selling (score below -0.15, upper band touch, red arrow, etc.)
Bottom Line: This indicator does the heavy lifting of analyzing multiple technical factors so you can focus on timing your entries and managing your trades. It's not magic - no indicator is - but it's a comprehensive tool that gives you an edge by combining many proven technical analysis methods into one clear signal.
Macro Return ForecastWhen the macro environment was similar, what annualized return did the market usually deliver next?
Before using the indicator, make sure your chart is set to any US-market symbol (SPX, QQQ, DIA, etc.).
This requirement is simple: the indicator pulls macro series from US data (yields, TIPS, credit spreads, breadth of US indices).
Because these series are independent from the chart’s price series, the chart symbol itself does not affect the internal calculations.
Any US symbol works, and the output of the model will be identical as long as you are on a US asset with daily, weekly or monthly timeframe.
The plotted price does not matter: the macro engine is fully exogenous to the chart symbol.
1. What the indicator does relative to selected assets
In the settings you choose which market you want to analyze:
- S&P500
- Nasdaq or NQ100
- Dow Jones
- Russell 2000
- US-wide (VTI)
- S&P500 sectors (XLF, XLY, XLP, etc.)
For each one, the indicator loads:
- Its internal breadth series (percentage of constituents above MA200)
- Its price history to compute forward log-returns at multiple horizons
- Its regime position relative to its own MA200 (for bull/bear filtering)
This means the tool is not tied to the chart symbol you display.
If your chart is SPX but the indicator setting is “S&P500 Technology”, the expected return projection is computed for the Technology sector using its own data, not the chart’s data.
You can therefore:
- Visualize macro-driven expected returns for any major US index or sector.
- Compare how different parts of the market historically reacted to similar macro states.
- Switch assets instantly to see which segment historically behaved better in comparable macro conditions.
The indicator becomes an analyzer of macro sensitivity, not a chart-dependent indicator.
2. Method overview
The model answers a statistical question:
“When macro conditions looked like they do today, what forward annualized return did this asset usually deliver?”
To do this it combines four macro pillars:
- Market breadth of the selected asset
- Yield curve slope (US 10Y minus 2Y)
- US credit spread (high yield minus gov)
- US real rate (TIPS 10Y)
It normalizes each metric into a 0–100 score, groups similar historical states into bins, and examines what the asset did next across six horizons (from ~9 months to ~5 years).
This produces a historical map connecting macro states to realized forward returns.
It is not a forecast model.
It is a conditional-distribution estimator: it tells you what has historically happened from similar setups.
3. Why this produces useful insights on assets
For any chosen asset (SPX, Nasdaq, sectors…), the indicator computes:
- Its forward return distribution in similar macro states.
- How often these states occurred (n).
- Whether the macro environment that preceded positive returns in the past resembles today’s.
- Whether the asset tends to be more sensitive or more resilient than the broad index under given macro configurations.
- Whether a given sector historically benefited from specific yield-curve, credit or real-rate environments.
This lets you answer questions such as:
- Does this sector usually outperform in an inverted yield curve environment?
- Does the Nasdaq historically recover strongly after breadth collapses?
- How did the S&P500 behave historically when real rates were this high?
- Is today’s credit-spread environment typically associated with positive or negative forward returns for this index?
These insights are not predictions but statistical context backed by past market behavior.
4. Why the technique is robust (and why it matters)
The engine uses strict, non-optimistic data processing:
- Winsorization of returns to neutralize extreme outliers without deleting information.
- Shrinkage estimators to avoid overfitting when bins contain few occurrences.
- Adaptive or static bounds for scaling macro indicators, ensuring comparability across cycles.
- Inverse-variance weighting of horizons with penalties for horizon redundancy.
- HAC-style adjustments to reduce autocorrelation bias in return estimation.
Each method aims to prevent artificial inflation of expected-return values and to keep the estimator stable even in unusual macro states.
This produces a result that is not “optimistic”, not curve-fit, not dependent on chart tricks, and not sensitive to isolated historical anomalies.
5. What you get as a user
A single clean line:
Expected Annual Return (%)
This line reflects how the chosen asset historically performed after macro environments similar to today’s.
The color gradient and confidence indicator (n) show the density of comparable episodes in history.
This makes the output extremely simple to read:
- High, stable expectation: historically supportive macro environment.
- Low or negative expectation: historically weaker environments.
- Low confidence: the macro state is rare and historical comparisons are limited.
The tool therefore adds context, not signals.
It helps you understand the environment the asset is currently in, based on how markets behaved in similar conditions across US market history.
Order Flow AnalysisOrder Flow Pressure Suite — Wick, Volume & Absorption-Based Pressure Map
This indicator builds a composite buying/selling pressure score from candle structure, volume behavior, and absorption signals.
It is designed to infer the “intent” behind price moves by looking at how candles form, where they close, and how volume behaves — even without access to true bid/ask or footprint data.
Core Concepts
Wick-to-Body Analysis
The script evaluates the ratio of upper and lower wicks to the total candle range.
Strong wicks with relatively small bodies are treated as rejections :
Long upper wick → potential selling pressure / rejection of higher prices
Long lower wick → potential buying pressure / rejection of lower prices
Close Position Analysis
The close is normalized within the candle range:
Close near the high → bullish pressure
Close near the low → bearish pressure
Close near the middle → more neutral , context taken from wicks and volume
Volume Delta Estimation
Since true bid/ask data is not available on standard charts, the script estimates “volume delta” by distributing total volume between buyers and sellers based on candle characteristics:
Bull candles receive more “buying volume,” weighted toward closes near the high
Bear candles receive more “selling volume,” weighted toward closes near the low
This is an approximation of order flow, not a direct time & sales feed.
Absorption Detection
The script looks for candles where volume is high but price movement is relatively small .
This combination often suggests:
Bullish absorption → buyers absorbing aggressive selling (potential accumulation)
Bearish absorption → sellers absorbing aggressive buying (potential distribution)
Absorption zones are tracked over a configurable lookback and can be shaded in the background.
Composite Pressure Oscillator
All the above components (wicks, close position, heuristic volume delta, absorption bias) are blended into a single pressure score :
Values > 0 → net buying pressure
Values < 0 → net selling pressure
The raw score is smoothed with an EMA to reduce noise and create a cleaner oscillator line.
Divergence Detection
The indicator compares price pivots to pressure pivots:
Bullish divergence : price makes a lower low while pressure makes a higher low
Bearish divergence : price makes a higher high while pressure makes a lower high
These conditions can help highlight potential exhaustion or hidden participation from larger players.
Visual Elements
Histogram showing the intensity of buying/selling pressure
Color-coding for increasing vs. decreasing pressure
Background shading for detected absorption zones
Status table summarizing current pressure, trend bias, volume delta, wick signal, and absorption state in real time
How To Use
Use the pressure oscillator to gauge whether the current bar sequence is dominated by buyers or sellers. Strong positive readings may indicate sustained buying pressure; strong negatives may indicate sustained selling pressure.
Watch for divergences between price and the pressure oscillator around key levels, swings, or zones you already care about.
Use absorption zones and wick rejection signals as additional context around support/resistance, breakouts, or failed moves.
Treat all signals as context and confluence , not as stand-alone trade entries or exits. This tool is best used alongside your existing price action, volume, and risk management framework.
Important Notes & Limitations
This script does not access real bid/ask, footprint, or order book data . All volume delta and absorption interpretations are heuristic estimates derived from OHLCV candles.
Signals are probabilistic , not guarantees. They can be early, late, or outright wrong in fast or low-liquidity markets.
Always validate signals with your own analysis, timeframe alignment, and risk management. This indicator is intended as an analytical tool , not financial advice.
Safe Supertrend Strategy (No Repaint)Overview
The Safe Supertrend is a repaint-free version of the popular Supertrend trend-following indicator.
Most Supertrend indicators appear perfect on historical charts because they flip intrabar and then repaint after the candle closes.
This version fixes that by using close-of-bar confirmation only, making every trend flip 100% stable, safe, and non-repainting.
Why This Supertrend Doesn’t Repaint
Most Supertrend indicators calculate their trend direction using the current bar’s data.
But during a live candle:
ATR expands and contracts
The upper/lower bands move
Price moves above/below the band temporarily
A false flip appears → then disappears when the candle closes
That is classic repainting.
This indicator avoids all of that by using:
close > upper
close < lower
This means:
Trend direction flips only based on the previous candle,
No intrabar calculations,
No flickering signals,
No “perfect but fake” historical performance.
Every signal you see on the chart is exactly what was available in real-time.
How It Works
Calculates ATR (Average True Range) and SMA centerline
Builds upper and lower volatility bands
Confirms trend flips only after the previous bar closes
Plots clear bull and bear reversal signals
Works on all markets (crypto, stocks, forex, indices)
No repainting, no recalc, no misleading flips.
Bullish Signal (Trend Up)
A bullish trend begins only when:
The previous candle closes above the upper ATR band,
And this flip is fully confirmed.
A green triangle marks the start of a new uptrend.
Bearish Signal (Trend Down)
A bearish trend begins only when:
The previous candle closes below the lower ATR band,
And the downtrend is confirmed.
A red triangle signals the start of a new downtrend.
Inputs
ATR Length - default 10
ATR Multiplier - default 3.0
Works on all timeframes and market
Simple, but powerful.
Why Use This Version Instead of a Regular Supertrend?
Most Supertrends:
Look great historically
But repaint continuously on live charts
Give false trend flips intrabar
Cannot be reliably used in strategies
This version:
Uses strict previous-bar logic
Never repaints trend direction
Works perfectly in live trading
Backtests accurately
Is ideal for algorithmic strategies
Ideal For:
Trend-following strategies
Breakout trading
Algo trading systems
Reversal detection
Filtering market noise
Swing trading & scalping
Final Note
This is a safer, more reliable Supertrend designed for real-world use — not perfect-looking repaint illusions.
If you use Supertrend in your trading system, this no-repaint version ensures your signals are trustworthy and consistent.
Filte Ichimoku1. Indicator Name
Filte Ichimoku
2. One-line Introduction
A smoothed and visually enhanced version of the Ichimoku Cloud that highlights trend direction and strength using adaptive color transparency.
3. General Overview
Filte Ichimoku is a modernized take on the classic Ichimoku Kinko Hyo indicator, designed for traders who value clarity and minimalism while retaining core Ichimoku functionality.
It calculates traditional components like Tenkan-sen, Kijun-sen, and the Senkou Span A/B, but focuses primarily on visualizing the Kumo (cloud) with enhanced styling.
Instead of raw plots, Filte Ichimoku applies triple-step smoothing to both Senkou spans, creating a soft, wave-like appearance that reflects trend fluidity.
The color of the cloud dynamically adapts based on whether Span A is above or below Span B (bullish/bearish), and its opacity changes according to the intensity of the trend, which is calculated relative to ATR-based volatility.
By forward-shifting the plots and visually blending the cloud, the indicator helps traders quickly identify dominant trends, potential reversals, and consolidation zones.
Its clean design makes it highly compatible with both traditional Ichimoku strategies and modern price action systems.
4. Key Advantages
🌥 Adaptive Ichimoku Cloud
Cloud color and transparency dynamically change based on real trend strength and direction.
📊 Smoother, Cleaner Display
Triple-smoothing on Senkou A and B creates a less noisy, more readable visual output.
📈 Forward Shift Preserved
Maintains the traditional Ichimoku forward-shift logic, helping project future price zones.
🎨 Customizable Trend Colors
Define your own bullish and bearish cloud colors for easy visual alignment with your strategy.
🚫 Noise Reduction via ATR Normalization
Trend intensity is calculated relative to ATR, reducing false positives in low-volatility zones.
🔒 Lightweight & Secure Design
Optimized script avoids exposure of sensitive logic while remaining fast and reliable in live charts.
📘 Indicator User Guide
📌 Basic Concept
Filte Ichimoku emphasizes cloud dynamics (Kumo) to interpret market structure.
Trend direction is derived from the relationship between Senkou Span A and B, while trend strength is measured by their distance relative to ATR.
The smoother curves make it easier to read while preserving all Ichimoku logic.
⚙️ Settings Explained
Tenkan Sen Length: Fast-moving average calculation period (default: 18)
Kijun Sen Length: Medium trend baseline (default: 52)
Senkou Span Length: Long-term cloud boundary (default: 104)
Bull/Bear Color: Set custom colors for bullish or bearish cloud states
📈 Bullish Timing Example
Senkou Span A > Span B, and the cloud appears green with high opacity
Indicates strong uptrend support, especially when price is above both Tenkan and Kijun
📉 Bearish Timing Example
Span B > Span A, cloud turns red and darkens
Suggests bearish dominance; avoid long entries or prepare for short-side setups
🧪 Recommended Use Cases
Use as a trend background layer for existing Ichimoku or price action systems
Combine with breakouts, support/resistance, and momentum indicators
Great for trend filtering in mid- to long-term strategies
🔒 Precautions
Designed for clarity and filtering—not a standalone entry system
In sideways markets, cloud may compress and color changes may become less meaningful
Adjust smoothing lengths cautiously to avoid lagging during volatile swings
Best results come from combining with price structure analysis
Market Sentiment [NeuraAlgo]
Market Sentiment
This indicator provides a real-time view of market momentum and sentiment by analyzing bullish and bearish impulses using price and volatility-based calculations. It visualizes trends on the chart and offers a dashboard with key statistics.
1.Status Calculation
The Status measures bullish momentum by identifying strong upward impulses.
Equation:
Status Source = Average of lows where(Low - High ) > ATR
For each bar, it checks if the current low minus the high from two bars ago exceeds the Average True Range (ATR) .
All lows that satisfy this condition are collected.
The average of these lows forms the Status Source , representing the level of strong buying pressure.
This helps traders visualize where significant bullish activity is concentrated and gauge upward momentum.
2.Status Source Calculation
Similarly, bearish impulses are detected by checking if highs fall below lows from two bars ago beyond ATR thresholds. The corresponding levels form the reference for selling pressure.
3. Trend Strength and States
Strength is Quantifies how far the price is from bullish or bearish reference levels as a percentage.
Trend States
Stability Phase (Gray): Market is quiet, minimal momentum.
Positive Flow (Green): Bullish pressure dominates; buyers are in control.
Negative Flow (Red): Bearish pressure dominates; sellers lead.
State Transition: Market is shifting; momentum is building.
4. Visuals
Bar colors indicate trend state: green for bullish, red for bearish, gray for neutral.
Filled zones highlight bullish and bearish reference levels for intuitive trend analysis.
5. Dashboard
An optional dashboard displays:
Sentiment: Visual gradient representing bullish or bearish dominance.
Status: Current trend state in concise, human-readable terms.
6. Purpose:
This indicator is designed to identify the current market status and the behavior of the asset by analyzing bullish and bearish impulses. It helps traders understand whether the market shows signs of stability, growth, or decline based on the asset’s price action and volatility.
Understand the asset behavior
Healthy asset behavior
Weak asset behavior
Market Sentiment combines price action, ATR-based volatility, and impulse tracking to provide a clear and actionable view of market conditions. The BullLine equation ensures that only meaningful bullish moves are highlighted, giving traders a reliable reference for momentum and potential entry points.
BifaneiroSinaleiro V3 ULTIMATEBifaneiroSinaleiro V3 ULTIMATE - Complete ICT Analysis System & Signal Generator
This isn't just an indicator - it's your 24/7 ICT analyst that does the manual work for you.
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🔥 WHAT IT DOES FOR YOU:
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✅ Marks ALL ICT Concepts Automatically:
- Fair Value Gaps (LTF + HTF with priority)
- Market Structure (BOS/CHoCH in real-time)
- Breaker Blocks (validated with volume + killzone)
- Liquidity Sweeps (Asian High/Low runs)
- Premium/Discount Arrays + OTE Zones
- Institutional Sessions (London, NY Silver Bullets)
✅ Advanced Pattern Recognition:
- Turtle Soup (sweep + reversal)
- Unicorn Model (sweep → BOS → FVG)
- SMT Divergences (monitors correlated pairs)
- PO3/AMD Phases (Accumulation → Manipulation → Distribution)
✅ Intelligent Scoring System:
- 12+ confluence factors analyzed
- Minimum score 12 for signals (configurable)
- Score 20+ = EXTREME (enables 2nd trade in session)
- Visual score display on every signal
✅ Professional Trade Management:
- 1 trade per session (London, NY AM, NY PM) = max 3/day
- EXTREME mode: 2 trades per session = max 6/day
- Automatic stop loss (session range-based)
- Dynamic take profit (score-adjusted multiplier)
- Auto breakeven after 2.5x move
- EOD close (23:59) with P&L label
- Weekend close (Fri 23:55) with P&L label
✅ 100% ICT Pure Methodology:
- NO EMAs, NO ATR, NO lagging indicators
- Pure price action: High/Low/Range only
- HTF confirmation via Premium/Discount (not EMAs!)
- Stop loss via Asian Range (not ATR!)
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⚡ WHY IT'S DIFFERENT:
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Traditional indicators show 1-2 concepts. This shows 10+ simultaneously.
Manual ICT takes 2-3 hours per session. This does it in milliseconds.
Other systems guess. This scores with objective confluence.
You save hours daily. You trade better. You profit more consistently.
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📊 WHAT YOU GET:
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- Real-time dashboard (scores, confluences, structure)
- Precision signals (only in killzones, only with confluences)
- Trade tracking (win rate, RR, P&L by session)
- Multi-timeframe analysis (automatic)
- News block filter (configurable)
- Full customization (colors, thresholds, sessions)
- Comprehensive alerts (8+ types)
Works on: Forex, Indices, Commodities, Crypto
Best on: 1m-5m for execution, 15m+ for swing
Timezone: Configured for CET (UTC+1), easily adjustable
⚠️ This is a professional tool requiring ICT/SMC understanding.
Not magic - it's methodology, automated.
🚀 Stop drawing. Start trading. Add to chart now.
IC Opposite Candle Zones – BOXESWhat this does
✔ Detects bullish & bearish institutional candles
✔ Finds the last opposite candle before it
✔ Creates a zone using that candle’s full wick range
✔ Draws it with actual boxes that extend forward
✔ Deletes old boxes so your chart doesn’t get cluttered
Trend Continuation [OmegaTools]Trend Continuation is a trend-following and trend-continuation tool designed to highlight high-probability pullbacks within an existing directional bias. It helps discretionary and systematic traders visually isolate “continuation zones” where a retracement is more likely to resolve in favor of the prevailing trend rather than trigger a full reversal.
1. Concept and Objective
The indicator combines two key components:
1. A trend bias engine (based either on a Rolling VWAP regime or on swing market structure).
2. A pullback pressure model, which quantifies how deep and “aggressive” the recent retracement has been relative to the trend.
The goal is to identify moments where the market pulls back against the trend, builds enough “reversal pressure,” and then shows signs that the trend is likely to **continue** rather than flip. When specific conditions are met, the indicator highlights bars and plots reference levels that can be used as potential continuation zones, filters, or confluence areas in a broader trading plan.
2. Trend Bias Modes
The primary trend direction is defined through the `Trend Mode` input:
* **RVWAP Mode (default)**
The script computes two rolling volume-weighted average prices over different lengths:
* A **shorter-term rolling VWAP**
* A **longer-term rolling VWAP**
When the shorter RVWAP is above the longer one, the bias is set to **bullish (+1)**. When it is below, the bias is **bearish (-1)**.
This creates a smooth, volume-weighted trend definition that tends to adapt to shifting regimes and filters out minor noise.
* **Market Structure Mode**
In this mode, trend bias is derived from **pivot highs and lows**:
* When price breaks above a recent pivot high, the bias flips to **bullish (+1)**.
* When price breaks below a recent pivot low, the bias flips to **bearish (-1)**.
This approach is more structurally oriented and reacts to significant swing breaks rather than just moving-average style relationships.
If no clear condition is met, the internal bias can temporarily be neutral, though the main design assumes working with clearly bullish or bearish environments.
3. Pullback and Reversal Pressure Logic
Once the trend bias is defined, the indicator measures **pullback intensity** against that trend:
* A **lookback window (“Pullback Length”)** scans recent highs and lows:
* In an uptrend, it tracks the **highest high** over the window and measures how far the current low pulls back from that high.
* In a downtrend, it tracks the **lowest low** and measures how far the current high bounces up from that low.
* This distance is converted into a **“reversal pressure” value**:
* In a bullish bias, deeper pullbacks (lower lows relative to the recent high) indicate stronger counter-trend pressure.
* In a bearish bias, stronger rallies (higher highs relative to the recent low) indicate stronger counter-trend pressure.
The raw reversal pressure is then smoothed with a long-term moving average to separate normal retracements from **statistically significant extremes**.
4. Thresholds and Histogram Coloring
To avoid reacting to every minor pullback, the indicator builds a **dynamic threshold** using a combination of:
* Long-term averages of reversal pressure.
* Standard deviation of reversal pressure.
* High-percentile values of reversal behavior over different sample sizes.
From this, a **threshold line** is derived, and the script then compares the current reversal pressure to this adaptive level:
* The **Reversal Histogram** (column plot) represents the excess reversal pressure above its own long-term average.
* When:
* There is a valid bullish or bearish bias, and
* The histogram is above the dynamic threshold,
the bars of the histogram are **colored**:
* Blue (or a similar “positive” color) in bullish bias.
* Red/pink (or a similar “negative” color) in bearish bias.
* When reversal pressure is below threshold or bias is not relevant, the histogram remains **neutral gray**.
These colored histogram segments represent **“high-tension” pullback states**, where counter-trend pressure has reached an extreme that, historically, often resolves with the original trend continuing rather than fully reversing.
5. Continuation Level and Bar Coloring on Price Chart
To connect the oscillator logic back to the chart:
* A **continuation reference level** is computed on the price series:
* In an uptrend, this is derived by subtracting the threshold from recent highs.
* In a downtrend, it is derived by adding the threshold to recent lows.
* This level is plotted as a **line on the price chart** (only when the trend bias is stable), acting as a visual guide for:
* Potential continuation zones,
* Possible stop-placement or invalidation areas,
* Or filters for entries/exits.
The bars are then **colored** when price crosses or interacts with these levels in the direction of the trend:
* In a bullish bias, bars closing below the continuation level can be highlighted as potential **deep pullback/continuation opportunities** or as warning signals, depending on the user’s playbook.
* In a bearish bias, bars closing above the continuation level are similarly highlighted.
This makes it easy to see where the oscillator’s “extreme pullback” conditions align with structural movements on the actual price bars.
6. Embedded Win-Rate Estimation (WR Table)
The script also includes an internal **win-rate style metric (WR%)** displayed in a small table on the chart:
* It tracks occurrences where:
* A valid bullish or bearish bias is present, and
* The Reversal Histogram is **above the threshold** (i.e., histogram is colored).
* It then approximates the **probability that the trend bias does not change** following such high-pressure pullback events.
* The WR value is shown as a percentage and represents, in essence, the **historical trend-continuation rate** under these specific conditions over the most recent sample of events.
This is not a formal statistical test and does not guarantee future performance, but it provides a quick visual indication of how often these continuation setups have led to **trend persistence** in the recent past.
7. How to Use in Practice
Typical applications include:
Trend-following entries on pullbacks
Identify the main trend using either RVWAP or Market Structure mode.
Wait for a colored histogram bar (reversal pressure above threshold).
Use the continuation reference line and bar coloring on the price chart to refine entry zones or invalidation levels.
Filtering signals from other systems
Run the indicator in the background to confirm trend continuation conditions before taking signals from another strategy (e.g., breakouts or momentum entries).
Only act on long signals when the bias is bullish and a high-pressure pullback has recently occurred; similarly for short signals in bearish conditions.
Risk management and trend monitoring
Monitor when reversal pressure is building against your current position.
Use shifts in bias combined with high reversal pressure to re-evaluate or scale out of trend-following trades.
Recommended steps:
1. Choose your Trend Mode:
- RVWAP for smoother, regime-style trend detection.
- Market Structure for swing-based structural changes.
2. Adjust Trend Length and Pullback Length to match your timeframe (shorter for intraday, longer for swing/position trading).
3. Observe where histogram colors appear and how price reacts around the continuation line and highlighted bars.
4. Integrate these signals into a pre-defined trading plan with clear entry, exit, and risk rules.
8. Limitations and Disclaimer
* This tool is a **technical analysis aid**, not a complete trading system.
* Past behavior of trend continuation or reversal pressure does **not** guarantee future results.
* The embedded WR metric is a **descriptive statistic** based on recent historical conditions only; it is not a promise of performance or a robust statistical forecast.
* All parameters (lengths, thresholds, modes) are user-configurable and should be **tested and validated** on your own data, instruments, and timeframes before any live use.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial, investment, or trading advice. Trading and investing in financial markets involve substantial risk, including the possible loss of all capital. You are solely responsible for your own trading decisions and for evaluating all information provided by this tool. OmegaTools and the author of this script expressly disclaim any liability for any direct or indirect loss resulting from the use of this indicator. Always consult with a qualified financial professional before making any investment decisions.
Pin Bar Fib Pullback + Engulfing + Pin Reversal (21 EMA + VWAP)Dear Traders
Pin bar fib pullback continuation (in 0.50–0.618 zone)
Bullish/Bearish engulfing
Pin bar reversals (bottom/top)
Then we ask: did the next candle move at least atrMult × ATR away from the signal close in the right direction?
For a long signal: next high ≥ signal close + ATR * atrMult
For a short signal: next low ≤ signal close − ATR * atrMult
If yes, that signal gets a big circle with text:
BIG ▲ for long
BIG ▼ for short
drawn on the original signal bar (using offset = -1 trick).
You can tune how “big” you want:
Increase ATR length for smoother ATR
Increase ATR * (e.g., from 1.5 → 2.0) to only mark really strong moves.
Stochastic Hash Strat [Hash Capital Research]# Stochastic Hash Strategy by Hash Capital Research
## 🎯 What Is This Strategy?
The **Stochastic Slow Strategy** is a momentum-based trading system that identifies oversold and overbought market conditions to capture mean-reversion opportunities. Think of it as a "buy low, sell high" approach with smart mathematical filters that remove emotion from your trading decisions.
Unlike fast-moving indicators that generate excessive noise, this strategy uses **smoothed stochastic oscillators** to identify only the highest-probability setups when momentum truly shifts.
---
## 💡 Why This Strategy Works
Most traders fail because they:
- **Chase prices** after big moves (buying high, selling low)
- **Overtrade** in choppy, directionless markets
- **Exit too early** or hold losses too long
This strategy solves all three problems:
1. **Entry Discipline**: Only trades when the stochastic oscillator crosses in extreme zones (oversold for longs, overbought for shorts)
2. **Cooldown Filter**: Prevents revenge trading by forcing a waiting period after each trade
3. **Fixed Risk/Reward**: Pre-defined stop-loss and take-profit levels ensure consistent risk management
**The Math Behind It**: The stochastic oscillator measures where the current price sits relative to its recent high-low range. When it's below 25, the market is oversold (time to buy). When above 70, it's overbought (time to sell). The crossover with its moving average confirms momentum is shifting.
---
## 📊 Best Markets & Timeframes
### ⭐ OPTIMAL PERFORMANCE:
**Crude Oil (WTI) - 12H Timeframe**
- **Why it works**: Oil markets have predictable volatility patterns and respect technical levels
**AAVE/USD - 4H to 12H Timeframe**
- **Why it works**: DeFi tokens exhibit strong momentum cycles with clear extremes
### ✅ Also Works Well On:
- **BTC/USD** (12H, Daily) - Lower frequency but high win rate
- **ETH/USD** (8H, 12H) - Balanced volatility and liquidity
- **Gold (XAU/USD)** (Daily) - Classic mean-reversion asset
- **EUR/USD** (4H, 8H) - Lower volatility, requires patience
### ❌ Avoid Using On:
- Timeframes below 4H (too much noise)
- Low-liquidity altcoins (wide spreads kill performance)
- Strongly trending markets without pullbacks (Bitcoin in 2021)
- News-driven instruments during major events
---
## 🎛️ Understanding The Settings
### Core Stochastic Parameters
**Stochastic Length (Default: 16)**
- Controls the lookback period for price comparison
- Lower = faster reactions, more signals (10-14 for volatile markets)
- Higher = smoother signals, fewer trades (16-21 for stable markets)
- **Pro tip**: Use 10 for crypto 4H, 16 for commodities 12H
**Overbought Level (Default: 70)**
- Threshold for short entries
- Lower values (65-70) = more trades, earlier entries
- Higher values (75-80) = fewer but higher-conviction trades
- **Sweet spot**: 70 works for most assets
**Oversold Level (Default: 25)**
- Threshold for long entries
- Higher values (25-30) = more trades, earlier entries
- Lower values (15-20) = fewer but stronger bounce setups
- **Sweet spot**: 20-25 depending on market conditions
**Smooth K & Smooth D (Default: 7 & 3)**
- Additional smoothing to filter out whipsaws
- K=7 makes the indicator slower and more reliable
- D=3 is the signal line that confirms the trend
- **Don't change these unless you know what you're doing**
---
### Risk Management
**Stop Loss % (Default: 2.2%)**
- Automatically exits losing trades
- Should be 1.5x to 2x your average market volatility
- Too tight = death by a thousand cuts
- Too wide = uncontrolled losses
- **Calibration**: Check ATR indicator and set SL slightly above it
**Take Profit % (Default: 7%)**
- Automatically exits winning trades
- Should be 2.5x to 3x your stop loss (reward-to-risk ratio)
- This default gives 7% / 2.2% = 3.18:1 R:R
- **The golden rule**: Never have R:R below 2:1
---
### Trade Filters
**Bar Cooldown Filter (Default: ON, 3 bars)**
- **What it does**: Forces you to wait X bars after closing a trade before entering a new one
- **Why it matters**: Prevents emotional revenge trading and overtrading in choppy markets
- **Settings guide**:
- 3 bars = Standard (good for most cases)
- 5-7 bars = Conservative (oil, slow-moving assets)
- 1-2 bars = Aggressive (only for experienced traders)
**Exit on Opposite Extreme (Default: ON)**
- Closes your long when stochastic hits overbought (and vice versa)
- Acts as an early profit-taking mechanism
- **Leave this ON** unless you're testing other exit strategies
**Divergence Filter (Default: OFF)**
- Looks for price/momentum divergences for additional confirmation
- **When to enable**: Trending markets where you want fewer but higher-quality trades
- **Keep OFF for**: Mean-reverting markets (oil, forex, most of the time)
---
## 🚀 Quick Start Guide
### Step 1: Set Up in TradingView
1. Open TradingView and navigate to your chart
2. Click "Pine Editor" at the bottom
3. Copy and paste the strategy code
4. Click "Add to Chart"
5. The strategy will appear in a separate pane below your price chart
### Step 2: Choose Your Market
**If you're trading Crude Oil:**
- Timeframe: 12H
- Keep all default settings
- Watch for signals during London/NY overlap (8am-11am EST)
**If you're trading AAVE or crypto:**
- Timeframe: 4H or 12H
- Consider these adjustments:
- Stochastic Length: 10-14 (faster)
- Oversold: 20 (more aggressive)
- Take Profit: 8-10% (higher targets)
### Step 3: Wait for Your First Signal
**LONG Entry** (Green circle appears):
- Stochastic crosses up below oversold level (25)
- Price likely near recent lows
- System places limit order at take profit and stop loss
**SHORT Entry** (Red circle appears):
- Stochastic crosses down above overbought level (70)
- Price likely near recent highs
- System places limit order at take profit and stop loss
**EXIT** (Orange circle):
- Position closes either at stop, target, or opposite extreme
- Cooldown period begins
### Step 4: Let It Run
The biggest mistake? **Interfering with the system.**
- Don't close trades early because you're scared
- Don't skip signals because you "have a feeling"
- Don't increase position size after a big win
- Don't revenge trade after a loss
**Follow the system or don't use it at all.**
---
### Important Risks:
1. **Drawdown Pain**: You WILL experience losing streaks of 5-7 trades. This is mathematically normal.
2. **Whipsaw Markets**: Choppy, range-bound conditions can trigger multiple small losses.
3. **Gap Risk**: Overnight gaps can cause your actual fill to be worse than the stop loss.
4. **Slippage**: Real execution prices differ from backtested prices (factor in 0.1-0.2% slippage).
---
## 🔧 Optimization Guide
### When to Adjust Settings:
**Market Volatility Increased?**
- Widen stop loss by 0.5-1%
- Increase take profit proportionally
- Consider increasing cooldown to 5-7 bars
**Getting Too Few Signals?**
- Decrease stochastic length to 10-12
- Increase oversold to 30, decrease overbought to 65
- Reduce cooldown to 2 bars
**Getting Too Many Losses?**
- Increase stochastic length to 18-21 (slower, smoother)
- Enable divergence filter
- Increase cooldown to 5+ bars
- Verify you're on the right timeframe
### A/B Testing Method:
1. **Run default settings for 50 trades** on your chosen market
2. Document: Win rate, profit factor, max drawdown, emotional tolerance
3. **Change ONE variable** (e.g., oversold from 25 to 20)
4. Run another 50 trades
5. Compare results
6. Keep the better version
**Never change multiple settings at once** or you won't know what worked.
---
## 📚 Educational Resources
### Key Concepts to Learn:
**Stochastic Oscillator**
- Developed by George Lane in the 1950s
- Measures momentum by comparing closing price to price range
- Formula: %K = (Close - Low) / (High - Low) × 100
- Similar to RSI but more sensitive to price movements
**Mean Reversion vs. Trend Following**
- This is a **mean reversion** strategy (price returns to average)
- Works best in ranging markets with defined support/resistance
- Fails in strong trending markets (2017 Bitcoin, 2020 Tech stocks)
- Complement with trend filters for better results
**Risk:Reward Ratio**
- The cornerstone of profitable trading
- Winning 40% of trades with 3:1 R:R = profitable
- Winning 60% of trades with 1:1 R:R = breakeven (after fees)
- **This strategy aims for 45% win rate with 2.5-3:1 R:R**
### Recommended Reading:
- *"Trading Systems and Methods"* by Perry Kaufman (Chapter on Oscillators)
- *"Mean Reversion Trading Systems"* by Howard Bandy
- *"The New Trading for a Living"* by Dr. Alexander Elder
---
## 🛠️ Troubleshooting
### "I'm not seeing any signals!"
**Check:**
- Is your timeframe 4H or higher?
- Is the stochastic actually reaching extreme levels (check if your asset is stuck in middle range)?
- Is cooldown still active from a previous trade?
- Are you on a low-liquidity pair?
**Solution**: Switch to a more volatile asset or lower the overbought/oversold thresholds.
---
### "The strategy keeps losing money!"
**Check:**
- What's your win rate? (Below 35% is concerning)
- What's your profit factor? (Below 0.8 means serious issues)
- Are you trading during major news events?
- Is the market in a strong trend?
**Solution**:
1. Verify you're using recommended markets/timeframes
2. Increase cooldown period to avoid choppy markets
3. Reduce position size to 5% while you diagnose
4. Consider switching to daily timeframe for less noise
---
### "My stop losses keep getting hit!"
**Check:**
- Is your stop loss tighter than the average ATR?
- Are you trading during high-volatility sessions?
- Is slippage eating into your buffer?
**Solution**:
1. Calculate the 14-period ATR
2. Set stop loss to 1.5x the ATR value
3. Avoid trading right after market open or major news
4. Factor in 0.2% slippage for crypto, 0.1% for oil
---
## 💪 Pro Tips from the Trenches
### Psychological Discipline
**The Three Deadly Sins:**
1. **Skipping signals** - "This one doesn't feel right"
2. **Early exits** - "I'll just take profit here to be safe"
3. **Revenge trading** - "I need to make back that loss NOW"
**The Solution:** Treat your strategy like a business system. Would McDonald's skip making fries because the cashier "doesn't feel like it today"? No. Systems work because of consistency.
---
### Position Management
**Scaling In/Out** (Advanced)
- Enter 50% position at signal
- Add 50% if stochastic reaches 10 (oversold) or 90 (overbought)
- Exit 50% at 1.5x take profit, let the rest run
**This is NOT for beginners.** Master the basic system first.
---
### Market Awareness
**Oil Traders:**
- OPEC meetings = volatility spikes (avoid or widen stops)
- US inventory reports (Wed 10:30am EST) = avoid trading 2 hours before/after
- Summer driving season = different patterns than winter
**Crypto Traders:**
- Monday-Tuesday = typically lower volatility (fewer signals)
- Thursday-Sunday = higher volatility (more signals)
- Avoid trading during exchange maintenance windows
---
## ⚖️ Legal Disclaimer
This trading strategy is provided for **educational purposes only**.
- Past performance does not guarantee future results
- Trading involves substantial risk of loss
- Only trade with capital you can afford to lose
- No one associated with this strategy is a licensed financial advisor
- You are solely responsible for your trading decisions
**By using this strategy, you acknowledge that you understand and accept these risks.**
---
## 🙏 Acknowledgments
Strategy development inspired by:
- George Lane's original Stochastic Oscillator work
- Modern quantitative trading research
- Community feedback from hundreds of backtests
Built with ❤️ for retail traders who want systematic, disciplined approaches to the markets.
---
**Good luck, stay disciplined, and trade the system, not your emotions.**
Guardian Pulse + Enhanced All-In-One (FINAL WORKING)GUARDIAN BUY SIGNAL (Lime Candle + Big Green Arrow)
All 4 must happen on the same candle:
RSI (14) crosses above 35 from below (bouncing out of oversold)
Price is above the blue 21 EMA (short-term trend filter)
Candle closes green (close > open)
Volume is at least 15% above its 20-period average (real buying pressure)
→ When all four line up = lime candle + huge green “BUY” arrow
→ That’s your master entry. Buy shares, calls, whatever.
GUARDIAN SELL / EXIT SIGNAL (Red Down Arrow)
RSI (14) crosses below 65 from above
→ That’s your “take profits or get out” signal (red down-triangle appears above the bar)
Optional Trend Filter (for safety)
Only take BUY signals when the overall trend is Bullish (9 EMA > 21 EMA > 200 EMA)
The info box in the top-right will say “Bullish” in green when it’s safe.
(CRT) MTF Candle Range Theory Model# 🚀 **CASH Pro MTF – Candle Range Theory (CRT) Indicator**
**The Smart Money ICT Setup Detector** 🔥
Hey Traders!
Here is the **ultimate Pine Script indicator** that automatically detects one of the most powerful Smart Money / ICT setups: **Candle Range Theory (CRT)**
---
### What is Candle Range Theory – CRT?
**CRT** is a high-probability price action model based on **liquidity grabs** and **range expansion**.
Price loves to:
1️⃣ Raid the low/high of the previous candle (take stop-losses)
2️⃣ Then reverse and run to the opposite side of the range (or beyond)
When this happens near a **key higher-timeframe level**, magic happens!
### Bullish CRT Model
- Price touches a **strong HTF support**
- Previous candle closes near that support
- Next candle **sweeps the low** (grabs liquidity)
- Current candle **closes above the raided low AND breaks the high** of the sweep candle
**Result → Aggressive bullish move expected!**
**Entry:** On close above the high (or on retest + MSS)
**Stop Loss:** Below the swept low
**Take Profit:** CRT High or next liquidity pool
### Bearish CRT Model
- Price touches a **strong HTF resistance**
- Previous candle closes near resistance
- Next candle **sweeps the high** (grabs buy stops)
- Current candle **closes below the raided high AND breaks the low** of the sweep candle
**Result → Strong bearish expansion!**
**Entry:** On close below the low
**Stop Loss:** Above the swept high
**Take Profit:** CRT Low or next downside liquidity
This whole setup can form in **just 3 candles**… or sometimes more if price consolidates after the sweep.
---
### Why This Indicator is Special
This is **NOT** a simple 3-candle pattern scanner!
This is a **true CRT + MTF confluence beast** with:
- **Multi-Timeframe Confirmation** (default 4H – fully customizable)
- **Built-in RSI Filter** (avoid fake moves in overbought/oversold)
- **Day-2 High/Low Levels** automatically drawn (the exact CRT range!)
- **Clean “LONG” / “SHORT” labels** right on the candle (no ugly arrows or offset)
- **Background highlight** on signal
- **Fully grouped inputs** – super clean settings panel
---
### Features at a Glance
| Feature | Included |
|--------------------------------|----------|
| Higher Timeframe Confirmation | Yes |
| RSI Overbought/Oversold Filter | Yes |
| Day-2 High/Low Lines + Labels | Yes |
| Clean Text Signals (no offset) | Yes |
| Background Highlight | Yes |
| Fully Customizable Colors & Text| Yes |
| Works on All Markets & TFs | Yes |
---
### How to Use
1. Add the indicator to your chart
2. Wait for a **LONG** or **SHORT** label to appear
3. Confirm price is near a **key HTF level** (order block, FVG, etc.)
4. Enter on close or retest (your choice)
5. Manage risk with the drawn Day-2 levels
**Pro Tip:** Combine with ICT Market Structure Shift (MSS) or Fair Value Gaps for even higher accuracy!
Thirdeyechart Gold – MasterclassThe XAU Masterclass Trend Table is the ultimate TradingView indicator for gold traders who demand precision, speed, and clarity. This special edition builds on all previous versions by enabling fast detection of strong and weak trends across multiple timeframes, making it a true masterclass tool for serious traders.
This indicator tracks gold across Daily (D), 1-Hour (H1), 4-Hour (H4), and Weekly (W) timeframes, providing a comprehensive view of both short-term and long-term market movements. The Total Average Calculation consolidates data from all timeframes, allowing traders to instantly see the overall trend strength of XAU. Positive movements are highlighted in blue, negative movements in red, while the Total Average gives a quick read of market momentum.
Version Masterclass features a solid, boxed layout, keeping all information organized and visually clear on the chart. Traders can monitor XAU/USD, XAU/JPY, XAU/EUR, and other XAU-related pairs efficiently, making it easier to plan entries, exits, and position sizing. The design is optimized for speed, allowing users to detect trend shifts faster than ever before.
This indicator is coded personally using advanced custom formulas for maximum precision and performance. It is ideal for intraday, swing, and long-term gold traders who want a professional-grade tool to analyze XAU movements globally.
This script is purely informational and educational. It does not provide buy or sell signals and does not guarantee profits. Users must perform their own analysis and apply proper risk management before making trading decisions.
Disclaimer / Copyright:
© 2025 Thirdeyechart. All rights reserved. Redistribution, copying, or commercial use of this code without permission is strictly prohibited. The author is not responsible for any trading losses or financial decisions made based on this script.
Strat Reversal MTF TableStrat Reversal MTF Table — Your Complete Multi-Timeframe Strat Command Center
Take your Strat trading to the next level with an indicator that shows every reversal, on every timeframe, in one powerful visual dashboard.
Designed for traders who demand speed, clarity, and full Strat alignment, the Strat Reversal MTF Table instantly identifies all major bullish and bearish reversal patterns:
Bullish Patterns
2-1-2
3-1-2
1-3-2
3-2-2
Bearish Patterns
2-1-2
3-1-2
1-3-2
3-2-2
Each signal is displayed with:
Clear pattern name (e.g., “2-1-2 Bull”)
Automatic trigger price
Timeframe label
Color-coded background (Bullish / Bearish / Neutral)
Whether you trade options, equities, futures, or crypto, this indicator makes it effortless to see what’s flipping — and where the strongest setups are emerging.
🔥 Key Features
📊 Multi-Timeframe Scanning (1 min → Daily)
Monitor 7 customizable timeframes at once.
From scalping to swing trading, you always know which timeframe is turning.
⚡ Real-Time OR Close-Confirmed Logic
Choose your style:
Realtime (Wick Mode) → Fast entries
Close-Confirmed → Stronger validation
Ideal for traders who want precision on any timeframe.
🎨 Clean & Customizable Dashboard
Move the table anywhere on the chart
Adjust text size
Choose your own colors
Lightweight and non-intrusive
A perfect blend of simplicity and power.
📩 Instant Alerts, Built In
Get notified instantly when:
Any timeframe reverses
A specific timeframe flips
Multiple reversals fire across the stack
The indicator works great with TradingView’s push notifications, email, and webhooks.
🎯 What This Helps You Do
✔ Catch Strat reversals as they happen
✔ Quickly spot full-timeframe alignment
✔ Improve your entries for options plays
✔ Avoid chop by reading higher-timeframe intent
✔ Trade more confidently with automated trigger levels
This indicator is built for Strat traders who want to trade smarter, faster, and cleaner.
✨ Perfect For
Strat Traders
Options Traders
Futures Scalpers
Intraday & Swing Traders
Quant/Algo-inspired traders
Anyone following Rob Smith’s methodology
DeltaFlow Volume Dr.Ryan [Beluga Port]This is a delta volume profile copy I have made for tracking volume flow.
Scaling_mastery:Free TrendlinesScaling_mastery Trendlines is a clean, trading-ready smart trendline tool built for the Scaling_mastery community.
It automatically finds swing highs/lows and draws dynamic trendlines or channels that stay locked to price, on any symbol and any timeframe.
🔧 Modes
Trendline type
Wicks – classic trendlines anchored on candle wicks (high/low).
Bodies – trendlines anchored on candle bodies (open/close), great for closing structure.
Channel – 3-line channel:
outer lines form a band around price
middle line runs through the centre of the channel
thickness is adjustable (Small / Medium / Large).
Trend strength
Controls how strong the pivots must be to form a line.
Weak → more lines, reacts faster.
Medium → balanced, good for most pairs.
Strong → only the cleanest swings, higher-probability trendlines.
🎨 Visual controls
Max support / resistance lines – cap how many lines are kept on chart.
Show broken lines – hide broken trendlines or keep them for structure history.
Extend lines – None / Right / Both.
Support / Resistance colors – separate colors for active vs broken.
Channel thickness – Small / Medium / Large (0.5% / 1% / 2% of price).
Channel outer lines – color for channel edges.
Channel middle line – color + style (dotted / dashed / solid).
Broken lines are automatically faded + dotted, so you can instantly see what’s still respected and what’s already been taken out.
🧠 How to use
Add the indicator to any chart.
Start with:
Trendline type: Wicks
Trend strength: Strong
Max lines: 1–2 for both support & resistance
Once you like the behavior, experiment with:
Switching between Wicks / Bodies / Channel
Adjusting Channel thickness and Trend strength
Use the lines as a visual confluence tool with your own strategy:
HTF trend direction
LTF entries / retests
Liquidity grabs around broken lines
This script doesn’t generate entries or risk management – it’s designed to give you clean, reliable structure so you can execute your own edge.
⚠️ Disclaimer
This tool is for educational and visual purposes only and is not financial advice.
Always do your own research and manage risk.
Oracle Pivot Engine (OPE) — @darshaksscThe Oracle Pivot Engine (OPE) is a market-structure visualization tool that derives all its levels exclusively from historical price data — specifically, the previous day’s high, low, and mid-range.
It does not provide signals, alerts, entries, exits, predictions, or trade recommendations.
Instead, it creates a non-repainting reference framework that helps users observe how the current session interacts with the prior session’s completed price structure.
All calculations are analytical, static, and based on fully closed candles.
🧠 How It Works (Core Logic Explained)
OPE computes the following values from the completed prior daily candle:
Prior-Day High
Prior-Day Low
Prior-Day Midpoint
Displacement Range = High − Low
This displacement range is used to generate symmetrical upward and downward reference zones.
These levels do not update during the session.
They refresh only once per day when a new daily candle closes.
This ensures the indicator remains fully non-repainting and stable on every intraday chart.
📐 Reference Levels Generated
Using the fixed prior-day displacement range, OPE plots:
1. BUY-Side Reference Map (Upward Bias)
BUY Reference Entry
BUY Reference Stop
BUY T1
BUY T2
BUY T3
BUY T4
BUY T5
BUY T6
These are not trade signals — they are mathematical extensions above the prior-day midpoint for structural interpretation only.
2. SELL-Side Reference Map (Downward Bias)
SELL Reference Entry
SELL Reference Stop
SELL T1
SELL T2
SELL T3
SELL T4
SELL T5
SELL T6
Again, these levels are not directives.
They are mirrored displacement extensions below the prior-day midpoint.
📊 Pivot Zone & Bands
The indicator includes optional visual layers derived from the same prior-day pivots:
Pivot High–Low Zone Shading → shows the prior-day full range
Pivot Midline → prior-day mid-price
Outer Displacement Bands → extended contextual boundaries
These are purely visual boundaries meant to improve market context.
🧾 Dashboard / HUD Explanation
A compact on-chart HUD summarizes all values.
It displays:
Section | Information (All Historical)
Prior-Day Pivots | High, Low, Mid, Range
BUY Map | Entry, Stop, T1–T6
SELL Map | Entry, Stop, T1–T6
The HUD allows you to quickly review:
Where the current price is relative to the previous day’s structure
How far price is from each level
Whether the session is operating inside or outside the prior-day displacement zones
Everything shown is static, non-repainting , and for reference only .
📊 How to Analyze It
✔ 1. Contextual Awareness
OPE helps users visually compare current intraday price to prior daily structure.
You can observe whether price is:
Inside yesterday’s high/low zone
Above the prior-day displacement
Below the prior-day displacement
This offers a clearer understanding of daily context and volatility.
✔ 2. Structural Symmetry
The BUY-side and SELL-side maps extend from the same pivot logic.
This can help visualize:
Expansion away from the prior-day midpoint
Compression within the prior-day range
Symmetrical displacement around key reference levels
Again — these are observational insights , not signals.
✔ 3. Range Interaction
As the session unfolds, users often study:
How price reacts around prior-day midpoint
Whether price is gravitating toward or away from the displacement levels
How intraday swings behave within these historical boundaries
This type of analysis is contextual , not predictive.
⚠️ Important Disclosures
This script does NOT generate trading signals.
It does NOT predict future price movement.
It does NOT contain advice, instructions, recommendations, or strategies.
All levels are derived exclusively from historical daily candle data .
This is strictly an informational visualization tool meant to support chart analysis.
Past price levels do not guarantee any future price behavior.
🛑 Disclaimer
This indicator is provided solely for educational and informational purposes.
It should not be interpreted as financial advice or a call to action of any kind.
Users should apply independent judgment and discretion when analyzing markets.
