TRADING NAVIGATOR📘 TRADING NAVIGATOR OPERATIONS MANUAL
This manual is designed to turn the script into your complete trading plan.
1. The Golden Rule: Planetary Alignment
Success with this script is not about trading every signal, but waiting for the confluence. Golden Trick: Do not trade on low timeframes (15M) if the trend on the higher timeframe (4H or D) is contrary. The Master Signal: Enter when the RELIABILITY column marks "HIGH" on at least 3 consecutive timeframes.
2. How to open a LONG (Buy) position: Look for these exact conditions on the board: TREND: It should say "BULLISH" (Price above the 200 EMA). ACTION: It should be marked LONG. ENTRY: The price should be near or touching the value indicated in the SUPPORT column. RSI: Ideally between 35 and 45 (healthy pullback) or crossing above 30. Execution: Place your limit order at the ENTRY price on the chart. The TP and SL are your mandatory exit coordinates.
3. How to open a SHORT (Sell) position: Look for these exact conditions on the board: TREND: It should say "BEARISH" (Price below the 200 EMA). ACTION: It should be marked SHORT. ENTRY: The price should be near or touching the value indicated in the RESIST column. (Resistance). RSI: Ideally between 55 and 65 or crossing below 70. Execution: Limit order at the ENTRY price on the chart. Don't chase the price; let it rise to the resistance to enter.
4. Golden Tricks to Gain Consistency: The Volatility Filter: If the VOLAT column shows "HIGH," reduce your position size by half. High volatility means sharp movements that can hit your SL before reaching the TP. The Timeframe Jump: If you see a LONG position on the 15M chart but the trend on the D (Daily) chart is BEARISH, that trade is high risk (pure Scalping). If both are BULLISH, you have a "High Probability Trade." RSI as a sentinel: If the RSI is at 50, the market is indecisive. Wait for it to approach the extremes (30 or 70) so that the Navigator's ACTION has more rebound strength.
5. Recommended Markets:
The TRADING NAVIGATOR is a structure and volatility algorithm, so it works where there is liquidity: Market | Effectiveness | Why |
Cryptocurrencies | ⭐⭐⭐⭐⭐ ATR volatility is best exploited in BTC and ETH. |
Indices (Nasdaq/SP500) | ⭐⭐⭐⭐ Ideal for following the TREND column (EMA 200). |
Forex (Majors) | ⭐⭐⭐ Use it on high-volume pairs (EURUSD, GBPUSD). |
Gold / Oil | ⭐⭐⭐⭐ Very sensitive to the support and resistance levels calculated by the script. |
6. Risk Management (Psychology) | Accepts Stop Loss: The script calculates the SL at 2.0x ATR to give the price "breathing room". If it is touched, the structure has been broken. Don't move the Stop Loss. Partial Taking: When the price has moved 50% of the way to the Take Profit, move your Stop Loss to the ENTRY (Breakeven) price. This ensures that the trade can no longer result in losses.
تحليل الاتجاه
Trend Consensus Engine [TCE]The Trend Consensus Engine (TCE) is a comprehensive market analysis system designed to filter out noise and provide a quantifiable "Trend Score" (0-100). Instead of relying on a single indicator, this script aggregates data from multiple market factors—volatility, momentum, and trend structure—to generate high-probability entry signals based on a consensus logic.
This tool is particularly optimized for Crypto (with specific time-gated logic) and BIST (Borsa Istanbul) markets, allowing traders to see the overall health of the trend at a glance via a dashboard.
How It Works
The engine calculates a composite "Total Score" (0-100) derived from four weighted components:
Trend Structure (AlphaTrend & Guppy):
Analyzes the slope and position relative to the AlphaTrend (Credit to @KivancOzbilgic) and Guppy Multiple Moving Averages (GMMA).
Positive slopes and price action above key levels add points to the score.
Volatility & Momentum (Squeeze & ADX):
Incorporates the Squeeze Momentum logic (Credit to @LazyBear) to detect explosive moves.
ADX Filter: Filters out chopping/ranging markets. If the ADX is too low, the score is penalized or the signal is blocked.
Dynamic Resistance (MA Channels):
Uses a combination of Donchian Mid-Lines and SMAs to determine if the price is in a "safe zone" or hitting resistance.
Price Action Filters (Pinbar Veto):
Automatically detects bearish "Shooting Star" or weak candles at highs. If a bearish pinbar is detected, the entry signal is vetoed regardless of the trend score.
Features & Settings
Smart Scoring Dashboard: Displays the realtime Score, Instant Decision, and confirmed Close Decision on the chart.
Market Profiles:
Crypto Mode: Includes a "Time Gate" feature (07:00 UTC+3 check) to prevent fakeouts during low-liquidity hours.
BIST Mode: Optimized parameters for the Turkish stock market logic (14:00 session checks).
Score Threshold: Users can adjust the minimum score required (Default: 70) to trigger a "BUY" signal.
Visual Guidance: The background of the dashboard changes color (Green/Red/Yellow) based on the consensus.
How to Use
Check the Dashboard: Look at the "SONUÇ" (Result) row.
GİRİŞ ✅ (ENTRY): The Score is above 70, Momentum is positive, and no Bearish Pinbars are present.
BEKLE ⏳ (WAIT): The trend is weak, or a filter (like ADX or Squeeze) is blocking the trade.
Confirm with Price Action: Use the AlphaTrend lines (Blue/Red) as dynamic support/stop-loss levels.
Credits:
AlphaTrend by KivancOzbilgic
Squeeze Momentum Indicator by LazyBear
VuManChu Cipher concepts for inspiration.
Custom Logic: Scoring algorithm and Time-Gating mechanisms are original custom developments.
Disclaimer: This tool is for educational purposes only and does not constitute financial advice.
Precision Trendlines - Relevant Current TFPrecision Structural Trendlines (Current TF)
Overview
The Precision Structural Trendlines indicator is a high-performance price action tool designed for traders who rely on market structure and trend convergence. Unlike standard trendline scripts that clutter the chart with every possible connection, this indicator strictly follows professional structural rules—connecting Lower Highs for resistance and Higher Lows for support.
Key Features
Structural Integrity: The engine ensures that resistance lines are only drawn during bearish sequences (Lower Highs) and support lines during bullish sequences (Higher Lows), aligning with core Price Action principles.
Dynamic Relevance Filter: Solve the "web of lines" problem. By default, the script only shows trendlines that are currently relevant to price. As price moves away from old trends, they fade out, keeping your workspace clean.
Zero Drift Synchronization: Built using absolute time-anchoring (xloc.bar_time), ensuring that trendlines stay perfectly "glued" to the candle wicks regardless of how much you scroll or zoom.
Customizable Aesthetics: Choose between Random Dark Colors to easily distinguish overlapping trends or a Static Color for a unified look. Global width controls allow for instant visibility adjustments.
How to Use
Trend Confirmation: Use the Minimum Points setting. Set it to 2 for aggressive, early trend detection, or 3 to only see lines that have been validated by multiple touches.
Major vs. Minor Swings: Adjust the Pivot Strength. A value of 30 (default) captures significant intraday turns, while 20+ is ideal for identifying major swing structure.
Relevance Buffer: Tune the Price Buffer % to determine how close price must be to a historical trendline before it reappears on your chart.
Settings Breakdown
Minimum Points: Number of pivot points required to anchor a line.
Pivot Strength: The "look-left/look-right" requirement to confirm a peak or valley.
Validation Tolerance: The vertical buffer allowed for a 3rd point to "hit" the trendline.
Show Relevant Only: Toggles the visibility filter (highly recommended for high-volume traders).
Minervini Template + Powerplay detectorMinervini Template + PowerPlay Detector
This indicator implements a rule-based Minervini trend template to identify stocks in strong, institutionally supported uptrends, combined with a Power Play momentum detector for explosive leadership moves.
Minervini Model (MM) Rules
The MM dashboard turns GREEN only when all of the following rules are met:
Close ≥ 150-day SMA
Close ≥ 200-day SMA
50-day SMA > 150-day SMA
50-day SMA > 200-day SMA
150-day SMA ≥ 200-day SMA
200-day SMA is rising (current value higher than ~1 month ago)
Close is at least 30% above the 52-week low
Close is within 25% of the 52-week high
Close is not more than 8% below the 50-day SMA
These rules ensure:
Proper long-term trend structure
Institutional accumulation alignment
Strength near highs, not extended weakness
When MM is red, hovering over it shows exactly which rules failed, allowing quick diagnosis of why a stock does not qualify.
POWERPLAY Logic
POWERPLAY highlights rare, high-velocity leadership moves:
Triggers when a stock gains 90% or more within any rolling window of up to 60 trading sessions
Remains active as long as the condition continues to hold
Hover tooltip displays:
Start date of the move
Current date
Total percentage gain so far
This captures fast institutional momentum, even if the move occurs in fewer than 60 sessions.
Dashboard Features
Moveable to any corner of the chart
Adjustable size
Adjustable opacity
Designed for trend followers and momentum traders seeking true market leaders, not short-term noise or late-stage breakouts.
Liquidity ZonesLiquidity Zones
Liquidity Zones is a price-action–based indicator designed to identify high-probability support and resistance areas where liquidity has historically accumulated.
Instead of drawing single lines, the script builds dynamic price zones based on repeated pivot reactions validated by volume, helping traders focus on meaningful levels rather than noise.
How It Works
Pivot Detection
The indicator scans historical price data for pivot highs and pivot lows using a fixed pivot strength.
Each pivot represents a potential liquidity interaction point.
Volume Qualification
A pivot is only considered valid if the volume at the pivot bar exceeds:
Volume SMA × Sensitivity
This filters out weak or low-participation levels and keeps zones formed during strong market interest.
Zone Construction
Nearby pivots are grouped into a single zone if their price difference stays within an ATR-based threshold.
Each time price reacts within this threshold, the zone’s touch count increases.
Once the minimum number of touches is reached, a liquidity zone is drawn and extended to the right.
Adaptive Zone Expansion
As new qualifying pivots appear, zones automatically expand to reflect the true liquidity range instead of staying static.
Dynamic Zone Coloring
Zones update their color in real time based on price position:
Green (Support) → Price is above the zone
Red (Resistance) → Price is below the zone
Gray (In-Zone) → Price is trading inside the zone
This allows instant visual feedback on whether a level is acting as support, resistance, or an active liquidity area.
Settings Overview
Bars to Apply
Controls how much historical data is scanned for liquidity zones.
Volume Sensitivity
Higher values require stronger volume spikes to validate pivots, resulting in fewer but higher-quality zones.
Styling Options
Fully customizable colors and transparency for support, resistance, and in-zone states.
Best Use Cases
Identifying high-liquidity support and resistance zones
Planning entries, exits, and stop placement
Combining with trend-following or momentum indicators
Filtering out weak levels in sideways or choppy markets
Razzere Cloned! V.8.1The foreign exchange market (forex, FX, or currency market) is a global decentralized or over-the-counter (OTC) market for the trading of currencies. This market determines foreign exchange rates for every currency. By trading volume, it is by far the largest market in the world, followed by the credit market.
The main participants are the larger international banks. Financial centres function as anchors of trading between a range of multiple types of buyers and sellers around the clock, with the exception of weekends. As currencies are always traded in pairs, the market does not set a currency's absolute value, but rather determines its relative value by setting the market price of one currency if paid for with another. Example: 1 USD is worth 1.1 Euros or 1.2 Swiss Francs etc. The market works through financial institutions and operates on several levels. Behind the scenes, banks turn to a smaller number of financial firms known as "dealers", who are involved in large quantities of trading. Most foreign exchange dealers are banks, so this behind-the-scenes market is sometimes called the "interbank market". Trades between dealers can be very large, involving hundreds of millions of dollars. Because of the sovereignty issue when involving two currencies, Forex has little supervisory entity regulating its actions. In a typical foreign exchange transaction, a party purchases some quantity of one currency by paying with some quantity of another currency.
Fair Value Gap [Tradeuminati]Fair Value Gap
Fair Value Gap is a clean and rule-based Fair Value Gap indicator for TradingView, designed to display only valid and confirmed Fair Value Gaps (FVGs) and Inverted Fair Value Gaps (iFVGs).
The indicator is built on a strict 3-candle FVG definition and operates exclusively on candle close, ensuring no repainting and no premature signals.
🔹 Key Features
Valid Fair Value Gaps (FVG)
- Detects bullish and bearish Fair Value Gaps using a precise 3-candle structure
- FVGs are only plotted after the confirming candle has closed
- A Fair Value Gap remains visible only as long as it is valid
- Once price closes beyond the FVG, it is removed or converted
Inverted Fair Value Gaps (iFVG)
- When a valid FVG is invalidated by a candle close, it can be converted into an iFVG
- iFVGs retain the original price range and structure
- Only valid iFVGs are displayed
- As soon as price closes through an iFVG, it is automatically removed
Clean & Controlled Visualization
- Only the last N active FVGs are displayed (bullish + bearish combined)
- Only the last N valid iFVGs are shown
- Boxes automatically extend to the current price + configurable bars
- Labels are dynamically positioned at the right edge of each zone
🔹 Technical Notes
- No repainting
- No intrabar signals
- Close-based validation only
- Works on all markets and timeframes
- Lightweight and performance-friendly
⚠️ Disclaimer
This indicator is for technical analysis purposes only and does not constitute trading or investment advice.
BTC - AUI 1: Macro Sentiment & On-Chain CompositeBTC - AUI 1: Macro Sentiment & On-Chain Composite | RM
Overview & Philosophy The AUI 1 ( Another Ultimate Indicator, Volume 1 ) is a 10-pillar quantitative composite designed to solve the "noise problem" in Bitcoin analysis. Most traders fail because they rely on a single metric in isolation. The AUI 1 aggregates ten distinct dimensions of the network — from speculative flow to institutional extension — into a singular 0–100 score.
The 10-Pillar Quant Framework
Each pillar is mathematically normalized to a standardized 0 to 10 scale . The sum of these pillars creates the final 0–100 index:
1. BEAM (Adaptive Logarithmic Multiple)
• Method: Log-deviation from the 4-year cycle mean.
• Logic: Measures price distance from its fundamental growth curve.
(Credit: BitcoinEcon)
2. MVRV Z-Score (Statistical Distance)
• Method: Standard deviations between Market Cap and Realized Cap.
• Logic: Identifies historical "Fair Value" vs. "Bubble" extremes.
(Credit: M. Mahmudov & D. Puell)
3. Metcalfe’s Law (Network Utility)
• Method: Logarithmic scaling of Active Addresses.
• Logic: Ensures price growth is supported by actual user adoption.
(Credit: T. Peterson)
4. RHODL Proxy (Speculative Flow)
• Method: Supply rotation intensity between HODLers and New Money.
• Logic: Cycle peaks are defined by "Old Money" distributing to "New Money."
(Credit: Philip Swift)
5. AXIS Momentum (Structural Trend Intensity)
• Method: Dual-speed Rate of Change (RoC) fusion engine.
• Logic: Identifies the acceleration and "torque" of the macro trend.
(Credit: Rob_Maths)
6. Mayer Multiple (Institutional Extension)
• Method: Raw distance from the 200-day SMA.
• Logic: Tracks the primary anchor used by institutional mean-reversion desks.
(Credit: Trace Mayer)
7. Unrealized Profit (Financial Pressure)
• Method: Absolute MVRV Ratio mapping.
• Logic: Measures the financial "stress" or "greed" held by the average holder.
8. Retail Participation (Psychology Proxy)
• Method: Inverted Log-Average Transaction Size (USD).
• Logic: Declining transaction sizes historically signal retail FOMO (Euphoria).
9. Volatility Overextension (Structural Risk)
• Method: 30-day Standard Deviation relative to the mean.
• Logic: High-intensity volatility clusters often precede cycle trend-shifts.
10. Macro RSI (Cycle Maturity)
• Method: High-timeframe momentum saturation levels.
• Logic: Identifies the statistical "Buying Exhaustion" of a macro move.
(Credit: J. Welles Wilder Jr.)
How to Read the AXIS Quadrants
The AUI 1 uses a Seamless Heatmap to categorize the market into four specific macro regimes:
❄️ 0–25: FROZEN (Deep Blue) Maximum Opportunity. Structural capitulation where only long-term conviction remains. Historically the "Generational Wealth" window.
🔵 25–50: DISCOUNT (Light Blue to Gray) Value Accumulation. The market is cooling down; risk is mathematically low, and the network is building a structural floor.
🟠 50–75: EXPANSION (Gray to Orange) Trend Acceleration. Healthy bullish growth supported by network utility and positive momentum.
🔥 75–100: SCORCHED (Orange to Deep Red) Terminal Euphoria. Maximum Risk zone. Speculative FOMO is at its peak; the market is fundamentally overextended.
The Orange Signal Line
To filter short-term noise, the AUI 1 includes a Signal Smoothing Line (Parametrizable).
• Cycle Confirmation: Index Bars crossing above the Signal Line indicates trend acceleration.
• Peak Confirmation: If the Index Score rolls over and breaks below the Signal Line while in the SCORCHED zone, the cycle peak is likely confirmed.
Credits & Data Built by Rob_Maths (2025) using on-chain frameworks from Glassnode and IntoTheBlock. Special recognition to the pioneers: Murad Mahmudov, David Puell, Philip Swift, Trace Mayer, and Timothy Peterson.
Strategic Recommendation: For the most accurate macro cycle signals and to filter daily market noise, it is strongly recommended to use this indicator on the Weekly (1W) timeframe.
⚠️ Data Requirement Note: This quantitative composite utilizes professional on-chain data feeds, specifically GLASSNODE:BTC_ACTIVEADDRESSES , GLASSNODE:BTC_ACTIVE1Y , and INTOTHEBLOCK:BTC_MVRV . A TradingView paid plan (Essential or higher) may be required to access these institutional data streams.
Disclaimer This script is for macro-economic research purposes. It is a probabilistic model, not a crystal ball. Past performance is not a guarantee of future results.
Tags:
bitcoin, btc, on-chain, macro, composite, mvrv, rhodl, momentum, index, valuation, active-addresses, cycles, sentiment, risk, AUI, Rob Maths
SilverHawk Trend Flow Part of SilverHawk Suite
This script is designed to be used with the SilverHawk Suite workflow (context → trigger → confirmation → execution).
It works standalone, but the highest accuracy comes from using the full suite together.
Where it fits:
• Role: Context
What it does:
Colors candles based on detected trend regime, so you trade with the prevailing direction and avoid fighting structure.
How to use:
• Bullish color: prefer long triggers only
• Bearish color: prefer short triggers only
• No clear trend / transition: stand down and wait for the suite trigger + confirmation
Visual Tip: (important)
If candles look “hidden”: Settings → Visual Order → Bring To Front
Alerts:
New Up Trend / New Down Trend alerts trigger on confirmed candles (non-repainting style).
Suite note:
For full workflow and loadouts, start with: “SilverHawk Suite — Start Here (Workflow Guide)” (free)
Credits / License
Based on PhantomFlow Trend Detector (MPL-2.0). This script remains MPL-2.0.
Kira Buy Sell EMA & VWAP Trend IndicatorThis indicator provides buy and sell signals based on short-term
momentum shifts while aligning trades with the broader market
trend.
Core logic:
• Fast and slow EMAs are used to identify short-term momentum
changes
• VWAP is applied to confirm price acceptance in the trade
direction
• A higher-period EMA is used as a trend filter to reduce
counter-trend signals
Buy signals are generated when bullish momentum aligns with
VWAP positioning and the prevailing trend. Sell signals are
generated when bearish momentum aligns with VWAP and the
broader trend direction.
This approach keeps the logic simple and responsive while
helping to avoid signals during unfavorable market conditions.
Best suited for liquid stocks and indices on intraday
timeframes such as 5-minute to 1-hour charts.
This script does not repaint and is intended as a
decision-support indicator, not a standalone trading system.
Rainbow Road [kingthies]Rainbow Road
Rainbow Road is a trend-structure and momentum visualization tool built around a cascading chain of smoothed simple moving averages. Instead of plotting independent moving averages on price, each line is progressively smoothed from the prior one using the same length, creating a layered “road” that reveals trend strength, direction, and transition with exceptional clarity.
OVERVIEW
Rainbow Road visualizes trend quality using a spectrum of fast-to-slow moving averages derived from one another. Because each average is smoothed from the prior line, the indicator forms a continuous structure rather than a collection of unrelated signals. This makes trend alignment, momentum expansion, and compression immediately visible.
HOW IT WORKS
The first average is a Simple Moving Average of price
Each subsequent average is an SMA of the previous average using the same length
This creates a cascading chain of averages with increasing smoothness
Colors progress from red (fastest) to purple (slowest) to represent trend hierarchy
HOW TO READ IT
Strong Trend : All averages are aligned and expanding in the same direction
Acceleration : Spacing between averages increases
Deceleration : Spacing narrows while direction remains intact
Consolidation : Averages converge and overlap
Reversal Risk : Faster averages cross back through the slowest average
TREND CONTEXT
The optional fill between the fastest and slowest averages visualizes overall trend pressure. Expanding fill suggests strengthening momentum, while contracting fill highlights compression and potential regime change.
USE CASES
Trend confirmation and directional bias
Momentum expansion vs compression analysis
Identifying trend exhaustion and early reversal zones
Contextual filtering for entries and exits
WHY RAINBOW ROAD
Traditional moving average stacks often produce clutter and redundant signals. Rainbow Road focuses on structure and flow, helping traders evaluate the quality of a trend rather than reacting to individual crossovers.
BEST USED WITH
Price action and market structure
Support and resistance
Volatility or range-based tools
Higher-timeframe trend bias
Rainbow Road is designed to sit quietly on your chart and clearly communicate whether the market is flowing, stalling, or preparing to turn.
Smart Money Concept Change of Character Break of StructureSMC Structure
Visualizes Change of Character (CHoCH) and Break of Structure (BoS) - two fundamental Smart Money Concepts for identifying trend reversals and continuations.
This is the 1st version of an implementation of this concept.
It is NOT supposed to be used as a signal but a confirmation. Best use during NYSE hours.
Full Description
Overview
This indicator automatically detects and displays two core Smart Money Concepts (SMC) directly on your chart:
CHoCH (Change of Character) – The first structural break against the prevailing trend, signaling a potential reversal
BoS (Break of Structure) – A structural break in the direction of the current trend, confirming continuation
These concepts are essential building blocks of SMC trading methodology, helping traders identify where institutional players may be entering or exiting positions.
How It Works
The indicator uses pivot-based swing detection to identify significant highs and lows. When price breaks through these levels, it classifies the move as either a CHoCH or BoS based on the current trend context.
CHoCH (Change of Character)
Occurs when price breaks structure AGAINST the current trend
First warning sign that the trend may be reversing
Displayed as a solid horizontal line with "CHoCH" label
Green = Bullish reversal | Red = Bearish reversal
BoS (Break of Structure)
Occurs when price breaks structure IN THE DIRECTION of the current trend
Confirms that the existing trend remains intact
Displayed as a dashed horizontal line with "BoS" label
Teal = Bullish continuation | Maroon = Bearish continuation
Visual Example
Uptrend with BoS (continuation):
HH ◄── BoS (trend continues)
/
HL
/
HH
/
HL
Uptrend → CHoCH → Downtrend (reversal):
HH
/ \
HL \
LL ◄── CHoCH (trend reversal!)
Settings
Pivot Settings
Pivot Lookback: Number of bars used to identify swing highs/lows (default: 5). Higher values = fewer but more significant structure points.
Display Options
Show CHoCH: Toggle CHoCH visualization
Show BoS: Toggle BoS visualization
Show Swing Points: Display SH/SL labels at detected pivots
Extend Lines to Right: Extend structure lines into future bars
Show Info Table: Display current trend and last swing levels
Show Trend Background: Color the chart background based on trend direction
Colors
Fully customizable colors for all elements
How to Use
Identify the trend: Look at the sequence of CHoCH and BoS signals to understand market structure
Watch for CHoCH: A CHoCH signals potential reversal – wait for confirmation before trading against the previous trend
Trade with BoS: BoS confirms trend continuation – look for entries on pullbacks in the direction of the trend
Combine with other SMC concepts: Works great alongside Order Blocks, Fair Value Gaps, and liquidity concepts
Tips
Use higher pivot lookback values on higher timeframes for cleaner signals
A CHoCH doesn't guarantee reversal – it's the first warning sign, not confirmation
Multiple BoS signals in a row indicate a strong, healthy trend
Look for CHoCH occurring at key levels (support/resistance, order blocks) for higher probability setups
Feedback Welcome!
This is an open-source indicator and I'd love to hear your thoughts!
Please comment below if you have:
Feature requests or ideas for improvements
Bug reports or issues
Suggestions for additional SMC concepts to add
Your feedback helps make this indicator better for everyone. Happy trading! 🚀
Scanner Pro MTF v9.3Manual Script Trading Scanner Pro MTF v9.3
How to Interpret Your New Tool
• Total Alignment (The Holy Grail): When you see the chart turn green (LONG) from 15m to D1, it's a high-probability signal that the cycle's bottom has been confirmed.
• Inside Bars (Yellow Dots): When they appear near a support level, they indicate indecision. If the next candle breaks upwards with high volume ('V' on the chart), it's your entry confirmation.
Here's an explanation of the symbols:
1. The Fuchsia Diamond (The "Little Squares")
This symbol represents a Squeeze (Volatility Compression).
• What it means: It appears when the Bollinger Bands move inside the Keltner Channels.
• Interpretation: It indicates that the market is in a period of extreme calm or accumulation. Historically, after a "Squeeze," an explosive price movement occurs.
• Use in your Roadmap: If Bitcoin reaches $59,000 and these fuchsia diamonds start appearing, get ready: the market is building energy for the next big surge.
2. The White "V" (Unusual Volume)
This signal appears at the top of the chart when there is a spike in volume.
• What it means: It is activated when the volume of the current candle is 50% higher than the average of the last 20 candles (volume > ta.sma(volume, 20) * 1.5).
• Interpretation: It confirms the intention. A breakout from support or resistance with a "V" is much more reliable than one without volume.
• Use in your Roadmap: If you see a strong green candle bouncing off a support level with a "V" above it, it's a sign that institutions ("Smart Money") are buying.
3. The Yellow Circle (Inside Bar)
This symbol appears above candles that are "trapped" within the range of the previous candle.
• What it means: The high of the candle is lower than the previous one, and its low is higher than the previous one.
• Interpretation: It is a sign of pause and indecision. The market is compressing the price into a narrow range.
• Strategy: Often, the price breaks out strongly after an Inside Bar. It's like a spring being compressed.
________________________________________
Trading Summary:
• Ideal Buy Signal: Price near support + Fuchsia Diamond (Squeeze) + Yellow Circle (Inside Bar) + Bullish breakout with a "V" (Volume).
• Confirmation: All of the above occurs while the chart in row D1 or H4 changes to LONG (Green).
• Ideal Sell Signal: Price near resistance + Fuchsia Diamond (Squeeze) + Yellow Circle (Inside Bar) + Bearish breakout with a "V" (Volume).
• Confirmation: All of the above occurs while the chart in row D1 or H4 changes to SHORT (Red).
MacroTide Elasticity SystemThe MacroTide Elasticity System is a professional-grade technical analysis tool designed to identify potential trend exhaustions and reversals by modeling price action as an elastic band stretched from a volume-weighted baseline. Unlike standard oscillators (like RSI) that only look at price changes, MacroTide integrates Volume, Price Range, and Volatility to gauge the "energy" behind a move.
1. Concepts and Methodology
The core concept is Mean Reversion based on Volume-Weighted Elasticity. Markets tend to snap back to a value consensus (mean) after over-extension.
Volume-Weighted Baseline: We use a Volume Weighted Moving Average (VWMA) rather than a simple SMA. This ensures that heavy-volume trading days pull the baseline closer to price, while low-volume drift allows the baseline to lag, accurately representing the "true" average cost.
Elasticity Physics: The oscillator calculates how far price has deviated from this VWMA baseline, measured in standard deviations. This creates a normalized "Elasticity Score" (0-100).
High Score (>80): Price is over-extended to the upside (Overbought) relative to volume support.
Low Score (<20): Price is over-extended to the downside (Oversold).
Institutional Absorption (Churn): The script detects specific bar anomalies where Volume is High but Price Range is Low. This pattern often indicates "Churn"—where institutions are absorbing supply or unloading positions without moving the price significantly.
2. Key Features
MacroTrend Detection: Visualizes the market's stretch limits.
Divergence Scanner: Automatically detects and labels Regular Bullish and Bearish divergences. This occurs when price makes a new extreme, but the Elasticity Oscillator fails to confirm it, signaling waning momentum.
Absorption Events: Highlights yellow "sun" markers on the oscillator when high-volume churn is detected, often preceding a breakout or reversal.
Dynamic Coloring: Candles and oscillator lines change color based on the slope of the elasticity (Green for rising momentum, Red for falling).
3. How to Use
Trend Reversals: Look for the oscillator to enter the Overbought (80) or Oversold (20) zones. A reversal signal (triangle marker) is generated when the oscillator crosses back out of these zones, indicating the "snap back" effect has begun.
Divergence Confirmation: Use the "DIV" labels as early warning signs. A Bullish Divergence in an oversold zone is a high-probability setup for a long entry.
Filtering Trends: The center line (50) acts as a trend filter. Above 50 indicates bullish bias; below 50 indicates bearish bias.
4. Settings & Customisation
Lookback Period: Default is 21 (Swing). Increase to 50 or 100 for Macro/Long-term analysis.
StdDev Multiplier: Adjusts the sensitivity of the bands. Higher values (e.g., 2.5 or 3.0) are better for volatile assets like Crypto.
Absorption Volume Factor: Threshold for detecting churn. Default is 1.5x average volume.
Disclaimer: This tool is for informational purposes only. Past performance (divergences/signals) does not guarantee future results. Always manage risk effectively.
Investment Analysis Bar v2What It Does
A comprehensive analysis bar combining fundamental metrics with technical signals, designed for long-term investors who prioritize quality over momentum.
Core Philosophy: Quality companies trading below their 200 EMA in accumulation zones = opportunities, not warnings.
Tier 1 Bar Metrics
Margins: GM, OM, NIM, FCF Margin
Returns: ROCE, ROE
Growth: Revenue YoY, EPS YoY
Valuation: PE TTM, Forward PE, PEG
Zone: Accumulate / Hold / Trim / Exit
Signal: PRIME / BUY / TRIM / SELL / NEUTRAL
Performance: 1W to 1Y returns
Two Strategy Modes
Value Accumulator (Default) - For long-term position building. Treats below-200-EMA as an opportunity when fundamentals are intact. PRIME signals require: RSI bounce + Volume + Accumulate Zone + All Quality Gates Pass + Below 200 EMA.
Trend Follower - Traditional momentum approach. Prefers entries above 200 EMA.
Quality Gates System
Four fundamental checkpoints:
Gross Margin ≥ 40%
ROCE ≥ 15%
Debt/Equity ≤ 50%
SBC/Revenue ≤ 15%
Strong signals require quality confirmation. PRIME signals require ALL gates to pass.
Zone System
Three calculation methods:
52W Range: Accumulate in bottom 25%, Trim in top 25%
Manual Levels: Set your own price targets
ATR-Based: Dynamic zones from EMA ± ATR
Signal Hierarchy (Value Mode)
SignalMeaning
PRIME 💎Optimal entry - all conditions aligned
BUY 🔼Strong accumulation signal
BUY? ↗Decent entry, not ideal zone
ACCUM 🎯In accumulation zone, quality OK
WAIT ⏳Setup forming, no bounce yet
TRIM 📤Consider taking profits
Alerts Included
Zone transitions (Accumulate, Trim, Exit)
PRIME Entry Signal
Strong Buy / Sell signals
Quality Gate failures
Quality Accumulation Setup
Best Used On
US stocks with fundamental data available. Technical features work on all symbols.
Settings
Fully customizable:
Toggle each metric category
Adjust quality gate thresholds
Choose zone calculation method
Configure RSI/volume parameters
Position bar and panel anywhere
ICT Liquidity Sweep/Swing Fail Pattern V.1# ICT Liquidity Sweep/Swing Fail Pattern V.1
## Indicator Description & User Guide
---
## 📊 Indicator Overview
**Name:** ICT Liquidity Sweep/Swing Fail Pattern V.1
**Type:** Support/Resistance & Liquidity Detection
**Trading Style:** ICT Concepts (Inner Circle Trader)
**Best Timeframes:** 1M, 5M, 15M, 1H
---
## 🎯 Core Features
### 1. **Support & Resistance Lines**
- Automatically draws key swing high and swing low levels
- Based on significant pivot points in price structure
- Updates dynamically as new swings form
### 2. **"X" Mark - Liquidity Sweep**
- **Symbol:** X marker on chart
- **Meaning:** Indicates a liquidity sweep (stop hunt)
- **What it shows:** Price briefly moved beyond a key level to trigger stops, then reversed
- **Trading significance:** High-probability reversal zones after liquidity is taken
### 3. **"SFP" Label - Swing Failure Pattern**
- **Symbol:** SFP text label
- **Meaning:** Swing Failure Pattern detected
- **What it shows:** Price attempted to make a new high/low but failed and reversed sharply
- **Trading significance:** Strong reversal signal - smart money rejecting the level
---
## 📈 How to Use This Indicator
### Entry Setup Strategy:
#### **For SHORT Trades (Sell):**
1. Wait for **SFP** to appear at a swing high
2. Look for **X marker** confirming liquidity sweep above the high
3. **Entry Zone (Red Box):** Enter SHORT positions when price returns to this zone
4. **Stop Loss:** Place above the red zone (above the swept high)
5. **Take Profit (Green Box):** Target the green zone below
#### **For LONG Trades (Buy):**
1. Wait for **SFP** to appear at a swing low
2. Look for **X marker** confirming liquidity sweep below the low
3. **Entry Zone (Green Box):** Enter LONG positions when price returns to this zone
4. **Stop Loss:** Place below the green zone (below the swept low)
5. **Take Profit (Red Box):** Target the red zone above
---
## 🎨 Color Coding System
| Color | Zone Type | Usage |
|-------|-----------|-------|
| 🔴 **Red Box** | Stop Loss / Supply Zone | Place SL here for LONG trades / Entry zone for SHORT trades |
| 🟢 **Green Box** | Take Profit / Demand Zone | Target zone for LONG trades / Place SL here for SHORT trades |
| ❌ **X Mark** | Liquidity Sweep Point | Stop hunt occurred - reversal likely |
| 📝 **SFP Label** | Swing Failure Pattern | Failed breakout - strong reversal signal |
---
## 💡 Trading Examples
### Example 1: SHORT Trade (As shown in your chart)
```
1. SFP appears at swing high (Red zone around 4,000)
2. X marker confirms liquidity sweep above the high
3. Entry: SHORT when price re-enters red zone
4. Stop Loss: Above red zone (e.g., 4,002)
5. Take Profit: Green zone below (3,964-3,972)
6. Risk:Reward = 1:3+
```
### Example 2: LONG Trade
```
1. SFP appears at swing low (Green zone)
2. X marker confirms liquidity sweep below the low
3. Entry: LONG when price re-enters green zone
4. Stop Loss: Below green zone
5. Take Profit: Previous red zone above
6. Risk:Reward = 1:2 minimum
```
---
## ⚠️ Important Trading Rules
### ✅ DO:
- Wait for BOTH SFP and X marker confirmation
- Enter on price returning to the zone (not on first touch)
- Use proper position sizing (1-2% risk per trade)
- Combine with market structure analysis
- Look for confluences (orderblocks, fair value gaps)
### ❌ DON'T:
- Trade against the higher timeframe trend
- Enter without confirmation signals
- Ignore the colored zones for SL/TP placement
- Overtrade - wait for quality setups
- Move stop loss to breakeven too early
---
## 🔧 Indicator Settings (Typical)
**Adjustable Parameters:**
- Swing Length: Number of bars to identify swing points
- Show/Hide X markers
- Show/Hide SFP labels
- Zone opacity and colors
- Line thickness
---
## 📚 ICT Concepts Explained
### **Liquidity Sweep:**
Smart money intentionally pushes price beyond key levels to trigger retail stop losses, then reverses to their intended direction. The X marker identifies these moments.
### **Swing Failure Pattern (SFP):**
Price attempts to make a new high/low but lacks follow-through, indicating weak momentum and likely reversal. Similar to a "false breakout" but more specific to swing structures.
### **Supply & Demand Zones:**
- **Red zones** = Areas where selling pressure overwhelmed buyers
- **Green zones** = Areas where buying pressure overwhelmed sellers
- These zones act as magnets for price to return and react
---
## 🎓 Best Practices
1. **Confluence is Key:**
- Combine with daily/weekly bias
- Check for orderblocks nearby
- Look for imbalances (FVG)
2. **Session Timing:**
- Best during London/New York sessions
- Avoid low liquidity periods
3. **Risk Management:**
- Never risk more than 1-2% per trade
- Use proper lot sizing
- Take partial profits at key levels
4. **Timeframe Correlation:**
- Check higher timeframe for bias
- Enter on lower timeframe for precision
- Exit based on higher timeframe targets
---
## 📞 Support & Updates
**Version:** 1.0
**Compatibility:** TradingView Pine Script v5
**Updates:** Regular improvements based on ICT methodology
---
## ⚡ Quick Reference Card
| Signal | Action | SL Placement | TP Target |
|--------|--------|--------------|-----------|
| SFP + X at High | SHORT at Red Zone | Above Red | Green Zone |
| SFP + X at Low | LONG at Green Zone | Below Green | Red Zone |
**Remember:** The indicator shows you WHERE to trade, but YOU decide WHEN based on confirmation and market context.
---
*Disclaimer: This indicator is a tool for technical analysis. Always use proper risk management and never trade with money you cannot afford to lose.*
AperonFx Pivot Points 1.1This indicator plots ATR-based pivot levels with a clean, institutional layout.
The central pivot (P) is calculated from the selected timeframe and price formula, while support and resistance levels are placed at equal distance steps above and below the pivot.
Users can choose between an automatic step based on ATR or a fixed price step for fully controlled, symmetric levels.
All levels are drawn as continuous segments that align precisely with the active pivot period.
Price annotations are displayed in a minimal, unobtrusive style and always match the exact level values.
The indicator is designed to remain consistent across chart timeframes without recalculation drift.
It is intended for traders who want clear, structured reference levels rather than reactive signals.
Bullish/Bearish Movement SumThis indicator calculates and displays the cumulative sum of bullish and bearish price movements over a specified period.
Features:
- Green line: Cumulative sum of all bullish movements
- Red line: Cumulative sum of all bearish movements (absolute value)
- Blue area: Net difference (bullish - bearish)
- Information table showing current values and bull/bear ratio
Settings:
- Calculation Period: Choose rolling window size (default: 100 bars) or 0 for cumulative from start
- Calculation Mode: Choose between "Points" (absolute price changes) or "Percentage" (% changes)
Use Cases:
- Identify market directional strength
- Compare bullish vs bearish pressure
- Spot divergences between price and directional momentum
- Ratio > 1 indicates more bullish than bearish movement
Developed with assistance from Claude (Anthropic)
Custom Session ORB - Extending Past Current CandleCustom Session ORB - Extending Past Current Candle
This indicator plots Opening Range Breakout (ORB) levels for one or two customizable trading sessions directly on your chart. It dynamically tracks the high, low, and midpoint of the defined session(s) and extends these levels beyond the session using a configurable offset.
Features:
Supports two custom sessions.
New York and Asia pre-saved.
Automatically tracks session High, Low, and Mid.
Option to extend ORB levels past the live candle.
Option to display only the most recent ORB for a clean chart.
Configurable line thickness, style, and label size.
Works in Eastern Standard Time (EST) without manual adjustment.
Settings:
Show Labels: Toggle to display ORB values on chart.
Label Font Size: Small, Normal, Large.
Mid Line Style: Solid, Dashed, or Dotted.
ORB Line Thickness: Set line thickness of ORB levels.
Extend Past Current Candle by N Bars: Controls how far the ORB extends visually.
Show Only Current ORB: Cleans chart by removing previous session ORB levels.
Enable Session 1 / 2: Toggle individual sessions on/off.
Session Time: Set the start and end times for each session (automatically in EST).
How It Works:
The indicator monitors the defined session time, records the high, low, and midpoint, and draws lines at those levels. When the session ends, the lines are extended by the specified offset for easy breakout visualization. Labels can optionally show the exact price levels.
SMH_DualMomentum (ROC + Volume Trend)SMH Dual Momentum (ROC + Volume Confirmation)
This indicator identifies high-quality bullish trends by combining price momentum (Rate of Change) with volume confirmation, and exits when momentum structurally fails.
Core Logic
BUY signal
Rate of Change (ROC) over N periods is above a positive threshold (strong upside momentum)
Current volume is above its moving average (rising market participation)
SELL signal
ROC crosses below zero, indicating loss of bullish momentum
Why It Works
ROC measures the speed and strength of price movement, filtering out weak or drifting trends
Volume confirmation ensures momentum is supported by real capital flow, reducing false breakouts
Momentum-based exit avoids prolonged drawdowns and capital stagnation
Key Advantages
Focuses on trend continuation, not prediction
Filters out low-quality price moves and range-bound markets
Captures long, high-conviction trends with relatively few trades
Simple, robust rules using only price and volume
Best Use Cases
Designed for trend-driven ETFs such as SMH (Semiconductors)
Suitable for swing to position trading on daily charts
Works best in markets with strong sector rotation and institutional participation
Notes
This is a trend-following momentum tool, not a mean-reversion indicator
No stop-loss is built in; risk management should be handled externally if required
Parameters can be adjusted to match different timeframes or assets
MA Cross + Trend Stats (Probabilistic)Short description (one-liner)
A MA-regime framework with historical regime stats + forward performance + optional trend/noise filters for trending context.
________________________________________
Full description (TradingView-ready)
Overview
This indicator turns a classic Moving Average Cross into a regime-based trend dashboard. Instead of treating a cross as a standalone “buy/sell” event, it measures what historically happened after similar regime shifts on the current symbol and timeframe, and displays the results in a compact table.
It supports:
• EMA or SMA
• Custom fast/slow lengths (including .5 lengths via floor/ceil averaging)
• Optional trend quality filters for trending decisions:
o Slope filter (Slow MA slope)
o Market noise filter using Efficiency Ratio (ER) in real time
________________________________________
What the table shows (how to read it)
The table has two rows: Bull (Fast > Slow) and Bear (Slow > Fast). Metrics are computed on completed regimes (historical segments that already ended).
N
Number of completed regimes measured. More samples generally means more stable estimates.
μ Δ% / Med Δ%
Average and median regime return from regime start to regime end. Median helps reduce the impact of outliers.
⏱ Bars
Average regime duration (in bars). Useful to calibrate realistic holding expectations for trending.
⬆ MFE% / ⬇ MAE%
• MFE (Maximum Favorable Excursion): max move in favor during the regime
• MAE (Maximum Adverse Excursion): max move against during the regime
These are context metrics for typical run-up and typical heat.
ER μ | Hit
Trend-quality proxy:
• ER μ: average Efficiency Ratio during regimes (0–1, higher = more directional / less noisy)
• Hit: % of regimes with ER above the historical threshold you set
Forward performance (+H μ|Hit)
For two user-defined horizons (e.g., +10 / +20 bars):
• μ: average forward return after the cross
• Hit: probability (%) that the forward return was positive
This is designed to provide probabilistic context, not certainty.
________________________________________
“Trending” decision filters (optional)
These filters apply to signals/alerts/markers, not to the raw regime statistics:
1. Slope filter (Slow MA):
Only allow Bull signals if the Slow MA slope is positive (and Bear signals if negative).
2. Market noise filter (ER realtime):
Only allow signals when current ER exceeds your chosen threshold (helps avoid choppy conditions).
________________________________________
Suggested usage (educational)
• Treat Bull/Bear as a regime label (state), not a prediction.
• Use Forward Hit% as an estimate of historical frequency, not a guarantee.
• If ER realtime is below threshold, consider it a noisier environment (higher whipsaw risk).
• Combine with your own risk rules and confirmation (structure, volatility, volume, HTF context, etc.).
________________________________________
Notes
• Results depend on symbol, timeframe, and loaded history.
• Statistics are historical summaries and can change as more data becomes available.
• This tool is intended for research and decision support, not as standalone trade advice.
________________________________________
Disclaimer
This script is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Trading involves risk. You are responsible for your own decisions and risk management.
ARM-EMA COLOR BUY SELLPrice action trading is about reading what the market is doing, so you can deploy the right trading strategy to reap the maximum benefits. In simple words, price action is a trading technique in which a trader reads the market and makes subjective trading decisions based on the price movements, rather than relying on technical indicators or other factors.
At its most simplistic, it attempts to describe the human thought processes invoked by experienced, non-disciplinary traders as they observe and trade their markets. Price action is simply how prices change - the action of price. It is most noticeable in markets with high liquidity and price volatility, but anything that is traded freely (in price) in a market will per se demonstrate price action.
