AMF PG Strategy_v2The AMF PG Strategy (Praetorian Guard) is an advanced trading system designed to seamlessly adapt to market conditions. Its unique structure balances precise entries with intelligent protection, giving traders confidence in both trending and volatility environments.
Key points include:
Adaptive Core (AMF Engine) โ A dynamic framework that automatically adjusts for clearer long- and short-term opportunities and generates a robust tracking line.
Praetorian Guard โ A built-in protective shield that activates in extreme conditions and helps stabilize performance when markets become turbulent.
Versatility โ Effective across multiple timeframes, from scalping to swing trading, without constant parameter adjustments.
Clarity โ Clear visual signals and color-coded monitoring for instant decision-making.
This strategy is designed for traders who want more than just entries and exits; it offers a command center for disciplined, adaptable, and resilient trading.
Disclaimer:
It should be noted that no strategy is guaranteed. This strategy does not provide buy-sell-hold advice. Responsibility rests with the user.
Version 2: Bugs overlooked in Version 1 have been corrected and improvements have been made.
Cari dalam skrip untuk "swing trading"
EMA Cross Suite (8/20/50/200) GOLDEN/DEATH by Carlos Chavez๐ Short Description (max 160 characters)
โAdvanced EMA crossover system with FAST, MID, GOLDEN, and DEATH signals. Includes alerts, optimized visuals, and full customization.โ
๐ Full Description (Paste in the box)
๐ Overview
The Embilletados โข EMA Cross Suite is a professional trading indicator designed for intraday traders, scalpers, and swing traders.
It provides clear crossover signals using 4 EMAs combined with optimized visualization and built-in alerts to help you catch opportunities faster.
โจ Key Features:
๐น 4 configurable EMAs โ 8, 20, 50, and 200.
๐น Instant visual signals with colored labels:
FAST CROSS (8/20) โ Quick momentum shifts.
MID CROSS (20/50) โ Trend confirmation signals.
GOLDEN CROSS (50/200) โ Strong bullish trend signals.
DEATH CROSS (50/200) โ Strong bearish trend signals.
๐น Built-in alerts โ Get notified instantly for all crossover events.
๐น Optimized visualization โ Clean and easy-to-read interface.
๐น Highly customizable โ Enable/disable signals, labels, colors, and alerts according to your strategy.
๐ Recommended Timeframes:
10-minute charts โ Best for intraday setups.
1-hour charts โ Ideal for swing trading and trend confirmation.
๐ How to Use:
Add the indicator to your chart.
Set up alerts for the desired crossovers: FAST, MID, GOLDEN, or DEATH.
Trade confidently using clear visual confirmations and real-time notifications.
๐ Perfect for:
โ
Intraday traders
โ
Scalpers
โ
Swing traders
โ
Trend-following strategies
AMF PG Strategy AMF Command Center Strategy (Praetorian Guard)
The AMF PG Strategy (Praetorian Guard) is an advanced trading system built to adapt seamlessly across market conditions. Its unique structure balances precision entries with intelligent protection, giving traders confidence in both trending and volatile environments.
Key highlights include:
Adaptive Core (AMF Engine) โ A dynamic framework that automatically adjusts and generates a powerful tracking line for clearer long and short opportunities.
Praetorian Guard โ A built-in protective shield that activates in extreme conditions, helping stabilize performance when markets become turbulent.
Versatility โ Effective across multiple timeframes, from scalping to swing trading, without constant parameter adjustments.
Clarity โ Clean visual signals and color-coded tracking for instant decision-making.
This strategy was designed for traders who want more than just entries and exits โ it offers a command center for disciplined, adaptive, and resilient trading.
Artharjan ADXArtharjan ADX (AADX) by Rrahul Desai @Artharjan
๐ Overview
The Artharjan ADX (AADX) is an advanced implementation of the Average Directional Index (ADX) with customizable moving averages, momentum thresholds, and visually intuitive grading of bullish and bearish strength.
Unlike the standard ADX indicator that only shows trend strength, AADX adds graded bullish/bearish conditions, alerts, smoothed DI signals, histogram visualizations, and background color fills to help traders quickly interpret market conditions.
It is designed for traders who want early detection of trend strength, clean visual cues, and automated alert triggers for both bullish and bearish momentum setups.
โ๏ธ Key Features
๐น Customizable Calculations
DI Length (default 13) โ controls sensitivity of directional indicators.
+/- DI Smoothing โ smooths DI signals with user-selected MA.
Multiple Moving Average Types โ SMA, EMA, WMA, RMA, VWMA, ALMA, Hull, SWMA, SMMA, TMA.
ADX Smoothing โ define how smooth/fast the ADX reacts.
๐น Flexible Display
Toggle between line plots or histogram view.
Adjustable plot thickness.
Option to plot averages of ADX, +DI, -DI for confirmation.
Configurable background fills:
ADX above/below momentum threshold.
ADX rising/falling color shading.
Trend-grade based color intensity.
๐น Momentum & Thresholds
Momentum Level (default 25) โ defines โstrong trendโ zone.
Crossover Threshold (default 15) โ helps detect early DI crossovers.
Color-coded histogram bars for +DI vs -DI difference:
Above/below zero.
Rising/falling momentum.
๐น Bullish & Bearish Grading System
The indicator assigns grades from 1 to 5 for both bullish and bearish setups, based on DI and ADX conditions:
Bullish Grades
Grade 1 โ Very Weak Bullish
Grade 2 โ Weak Bullish
Grade 3 โ Moderate Bullish
Grade 4 โ Strong Bullish
Grade 5 โ Very Strong Bullish
Bearish Grades
Grade 1 โ Very Weak Bearish
Grade 2 โ Weak Bearish
Grade 3 โ Moderate Bearish
Grade 4 โ Strong Bearish
Grade 5 โ Very Strong Bearish
Labels are automatically plotted above bars to indicate the active grade.
๐น Alerts
Bullish Alert โ when +DI crosses above its average below the threshold OR bullish conditions are met.
Bearish Alert โ when -DI crosses above its average below the threshold OR bearish conditions are met.
These alerts make it possible to automate trading signals for scalping, intraday, and swing trading.
๐ Use Cases
Trend Strength Measurement
Spot when markets shift from range-bound to trending.
Confirm the reliability of breakouts with strong ADX readings.
Bullish vs Bearish Control
Compare +DI vs -DI strength to gauge trend direction.
Identify trend reversals early with DI slope changes.
Momentum Confirmation
Use ADX rising + DI grades to validate trade entries.
Filter false breakouts with weak ADX.
Trade Grading System
Enter aggressively on Grade 4โ5 signals.
Stay cautious on Grade 1โ2 signals.
Automated Alerts & Screening
Combine AADX alerts with strategy rules.
Build scanners to highlight strong ADX setups across multiple stocks.
๐ฏ Traderโs Advantage
More powerful than standard ADX โ Adds slope, grading, alerts, and visualization.
Adaptable to any style โ Works for intraday scalping, swing trading, and positional analysis.
Visual clarity โ Color fills, histograms, and labels simplify decision-making.
Customizable smoothing โ Adjusts to fast or slow markets.
โ
Closing Note
The Artharjan ADX (AADX) transforms the traditional ADX into a complete trend and momentum analyzer. It helps traders detect, confirm, and act on directional strength with clarity and confidence.
With Thanks,
Rrahul Desai
@Artharjan
EMA20 Cross Strategy with countertrades and signalsEMA20 Cross Strategy Documentation
Overview
The EMA20 Cross Strategy with Counter-Trades and Instant Signals is a Pine Script (version 6) trading strategy designed for the TradingView platform. It implements an Exponential Moving Average (EMA) crossover system to generate buy and sell signals, with optional trend filtering, session-based trading, instant signal processing, and visual/statistical feedback. The strategy supports counter-trades (closing opposing positions before entering new ones) and operates with a fixed trade size in EUR.
Features
EMA Crossover Mechanism:
Uses a short-term EMA (configurable length, default: 1) and a long-term EMA (default: 20) to detect crossovers.
A buy signal is generated when the short EMA crosses above the long EMA.
A sell signal is generated when the short EMA crosses below the long EMA.
Instant Signals:
If enabled (useInstantSignals), signals are based on the current price crossing the short EMA, rather than waiting for the candle close.
This allows faster trade execution but may increase sensitivity to price fluctuations.
Trend Filter:
Optionally filters trades based on the trend direction (useTrendFilter).
Long trades are allowed only when the short EMA (or price, for instant signals) is above the long EMA.
Short trades are allowed only when the short EMA (or price) is below the long EMA.
Session Filter:
Restricts trading to specific market hours (sessionStart, default: 09:00โ17:00) if enabled (useSessionFilter).
Ensures trades occur only during active market sessions, reducing exposure to low-liquidity periods.
Customizable Timeframe:
The EMA calculations can use a higher timeframe (e.g., 5m, 15m, 1H, 4H, 1D, default: 1H) via request.security.
This allows the strategy to base signals on longer-term trends while operating on a shorter-term chart.
Trade Management:
Fixed trade size of โฌ100,000 per trade (tradeAmount), with a maximum quantity cap (maxQty = 10,000) to prevent oversized trades.
Counter-trades: Closes short positions before entering a long position and vice versa.
Trades are executed with a minimum quantity of 1 to ensure valid orders.
Visualization:
EMA Lines: The short EMA is colored based on the last signal (green for buy, red for sell, gray for neutral), and the long EMA is orange.
Signal Markers: Displays buy/sell signals as arrows (triangles) above/below candles if enabled (showSignalShapes).
Background/Candle Coloring: Optionally colors the chart background or candles green (bullish) or red (bearish) based on the trend (useColoredBars).
Statistics Display:
If enabled (useStats), a label on the chart shows:
Total closed trades
Open trades
Win rate (%)
Number of winning/losing trades
Profit factor (gross profit / gross loss)
Net profit
Maximum drawdown
Configuration Inputs
EMA Short Length (emaLength): Length of the short-term EMA (default: 1).
Trend EMA Length (trendLength): Length of the long-term EMA (default: 20).
Enable Trend Filter (useTrendFilter): Toggles trend-based filtering (default: true).
Color Candles (useColoredBars): Colors candles instead of the background (default: true).
Enable Session Filter (useSessionFilter): Restricts trading to specified hours (default: false).
Trading Session (sessionStart): Defines trading hours (default: 09:00โ17:00).
Show Statistics (useStats): Displays performance stats on the chart (default: true).
Show Signal Arrows (showSignalShapes): Displays buy/sell signals as arrows (default: true).
Use Instant Signals (useInstantSignals): Generates signals based on live price action (default: false).
EMA Timeframe (emaTimeframe): Timeframe for EMA calculations (options: 5m, 15m, 1H, 4H, 1D; default: 1H).
Strategy Logic
Signal Generation:
Standard Mode: Signals are based on EMA crossovers (short EMA crossing long EMA) at candle close.
Instant Mode: Signals are based on the current price crossing the short EMA, enabling faster reactions.
Trade Execution:
On a buy signal, closes any short position and opens a long position.
On a sell signal, closes any long position and opens a short position.
Position size is calculated as the minimum of โฌ100,000 or available equity, divided by the current price, capped at 10,000 units.
Filters:
Trend Filter: Ensures trades align with the trend direction (if enabled).
Session Filter: Restricts trades to user-defined market hours (if enabled).
Visual Feedback
EMA Lines: Provide a clear view of the short and long EMAs, with the short EMAโs color reflecting the latest signal.
Signal Arrows: Large green triangles (buy) below candles or red triangles (sell) above candles for easy signal identification.
Chart Coloring: Highlights bullish (green) or bearish (red) trends via background or candle colors.
Statistics Label: Displays key performance metrics in a label above the chart for quick reference.
Usage Notes
Initial Capital: โฌ100,000 (configurable via initial_capital).
Currency: EUR (set via currency).
Order Processing: Orders are processed at candle close (process_orders_on_close=true) unless instant signals are enabled.
Dynamic Requests: Allows dynamic timeframe adjustments for EMA calculations (dynamic_requests=true).
Platform: Designed for TradingView, compatible with any market supported by the platform (e.g., stocks, forex, crypto).
Example Use Case
Scenario: Trading on a 5-minute chart with a 1-hour EMA timeframe, trend filter enabled, and session filter set to 09:00โ17:00.
Behavior: The strategy will:
Calculate EMAs on the 1-hour timeframe.
Generate buy signals when the short EMA crosses above the long EMA (and price is above the long EMA).
Generate sell signals when the short EMA crosses below the long EMA (and price is below the long EMA).
Execute trades only during 09:00โ17:00.
Display green/red candles and performance stats on the chart.
Limitations
Instant Signals: May lead to more frequent signals, increasing the risk of false positives in volatile markets.
Fixed Trade Size: Does not adjust dynamically based on market conditions beyond equity and max quantity limits.
Session Filter: Simplified and may not account for complex session rules or holidays.
Statistics: Displayed on-chart, which may clutter the view in smaller charts.
Customization
Adjust emaLength and trendLength to suit different market conditions (e.g., shorter for scalping, longer for swing trading).
Toggle useInstantSignals for faster or more stable signal generation.
Modify sessionStart to align with specific market hours.
Disable useStats or showSignalShapes for a cleaner chart.
This strategy is versatile for both manual and automated trading, offering flexibility for various markets and trading styles while providing clear visual and statistical feedback.
Vagas-dctang(8~13)Overview
The Vegas Tunnel EMA 8-13 is a refined technical analysis indicator that utilizes two key exponential moving averages (8-period and 13-period EMAs) to create a dynamic tunnel system for identifying trend direction and potential support/resistance zones. This indicator is specifically designed to help traders visualize price action within the context of short-term trend dynamics.
Key Features
โ
Dual EMA Tunnel System: Creates a visual tunnel between 8 EMA (fast) and 13 EMA (slow) to identify trend channels โ
Dynamic Support Detection: The tunnel acts as dynamic support during uptrends and resistance during downtrends โ
Trend Confirmation: Price position relative to the tunnel helps confirm the current market trend โ
Entry/Exit Signals: Tunnel crossovers and price interactions provide clear trading signals โ
Multi-Timeframe Compatible: Works effectively across various timeframes from scalping to swing trading
How It Works
The Vegas Tunnel EMA 8-13 operates on the principle that shorter-period EMAs react more quickly to price changes, creating a responsive tunnel system:
Bullish Tunnel: When 8 EMA > 13 EMA, the tunnel indicates an upward trend with potential support zones
Bearish Tunnel: When 8 EMA < 13 EMA, the tunnel indicates a downward trend with potential resistance zones
Tunnel Width: The distance between EMAs indicates trend strength and volatility
Price Interaction: Bounces off the tunnel boundaries suggest trend continuation, while breaks may signal reversals
Trading Applications
Trend Following: Use tunnel direction to align trades with the prevailing trend
Support/Resistance Trading: Enter long positions when price bounces off tunnel support, short when rejected at resistance
Breakout Strategy: Trade tunnel breaks as potential trend continuation or reversal signals
Risk Management: Use tunnel boundaries as dynamic stop-loss levels
Advantages Over Traditional Moving Averages
Reduced Noise: The tunnel system filters out minor price fluctuations
Visual Clarity: Easy identification of trend channels and key levels
Faster Response: 8-13 period combination provides quicker signals than longer-term systems
Versatile Application: Suitable for various trading styles and market conditions
Best Practices
Combine with volume analysis for stronger signal confirmation
Consider higher timeframe tunnel direction for context
Use proper risk management with position sizing
Backtest on your preferred instruments and timeframes
This indicator is ideal for traders seeking a clean, effective tool for trend analysis and dynamic support/resistance identification in fast-moving markets.
Smart Structure Breaks & Order BlocksOverview (What it does)
The indicator โSmart Structure Breaks & Order Blocksโ detects market structure using swing highs and lows, identifies Break of Structure (BOS) events, and automatically draws order blocks (OBs) from the origin candle. These zones extend to the right and change color/outline when mitigated or invalidated. By formalizing and automating part of discretionary analysis, it provides consistent zone recognition.
Main Components
Swing Detection: ta.pivothigh/ta.pivotlow identify confirmed swing points.
BOS Detection: Determines if the recent swing high/low is broken by close (strict mode) or crossover.
OB Creation: After a BOS, the opposite candle (bearish for bullish BOS, bullish for bearish BOS) is used to generate an order block zone.
Zone Management: Limits the number of zones, extends them to the right, and tracks tagged (mitigated) or invalidated states.
Input Parameters
Left/Right Pivot (default 6/6): Number of bars required on each side to confirm a swing. Higher values = smoother swings.
Max Zones (default 4): Maximum zones stored per direction (bull/bear). Oldest zones are overwritten.
Zone Confirmation Lookback (default 3): Ensures OB origin candle validity by checking recent highs/lows.
Show Swing Points (default ON): Displays triangles on swing highs/lows.
Require close for BOS? (default ON): Strict BOS (close required) vs loose BOS (line crossover).
Use candle body for zones (default OFF): Zones drawn from candle body (ON) or wick (OFF).
Signal Definition & Logic
Swing Updates: Latest confirmed pivots update lastHighLevel / lastLowLevel.
BOS (Break of Structure):
ใBullish โ close breaks last swing high.
ใBearish โ close breaks last swing low.
ใOnly one valid BOS per swing (avoids duplicates).
OB Detection:
ใBullish BOS โ previous bearish candle with lowest low forms the OB.
ใBearish BOS โ previous bullish candle with highest high forms the OB.
ใZones: Bull = green, Bear = red, semi-transparent, extended to the right.
Zone States:
ใMitigated: Price touches the zone โ border highlighted.
ใInvalidated:
ใใBull zone โ close below โ turns red.
ใใBear zone โ close above โ turns green.
Chart Appearance
Swing High: red triangle above bar
Swing Low: green triangle below bar
Bull OB: green zone (border highlighted on touch)
Bear OB: red zone (border highlighted on touch)
Invalid Zones: Bull zones turn reddish, Bear zones turn greenish
Practical Use (Trading Assistance)
Trend Following Entries: Buy pullbacks into green OBs in uptrends, sell rallies into red OBs in downtrends.
Focus on First Touch: First mitigation after BOS often has higher reaction probability.
Confluence: Combine with higher timeframe trend, volume, session levels, key price levels (previous highs/lows, VWAP, etc.).
Stops/Targets:
ใBull โ stop below zone, partial take profit at swing high or resistance.
ใBear โ stop above zone, partial take profit at swing low or support.
Parameter Tuning (per market/timeframe)
Pivot (6/6 โ 4/4/8/8): Lower for scalping (3โ5), medium for day trading (5โ8), higher for swing trading (8โ14). Increase to reduce noise.
Strict Break: ON to reduce false breaks in ranging markets; OFF for earlier signals.
Body Zones: ON for assets with long wicks, OFF for cleaner OBs in liquid instruments.
Zone Confirmation (default 3): Increase for stricter OB origin, fewer zones.
Max Zones (default 4 โ 6โ10): Increase for higher volatility, decrease to avoid clutter.
Strengths
Standardizes BOS and OB detection that is usually subjective.
Tracks mitigation and invalidation automatically.
Adaptable: allows body/wick zone switching for different instruments.
Limitations
Pivot-based: Signals appear only after pivots confirm (slight lag).
Zones reflect past balance: Can fail after new events (news, earnings, macro data).
Range-heavy markets: More false BOS; consider stricter settings.
Backtesting: This script is for drawing/visual aid; trading rules must be defined separately.
Workflow Example
Identify higher timeframe trend (4H/Daily).
On lower TF (15โ60m), wait for BOS and new OB.
Enter on first mitigation with confirmation candle.
Stop beyond zone; targets based on R multiples and swing points.
FAQ
Q: Why are zones invalidated quickly?
A: Flow reversal after BOS. Adjust pivots higher, enable Strict mode, or switch to Body zones to reduce noise.
Q: What does โtaggedโ mean?
A: Price touched the zone once = mitigated. Implies some orders in that zone may have been filled.
Q: Body or Wick zones?
A: Wick zones are fine in clean markets. For volatile pairs with long wicks, body zones provide more realistic areas.
Customization Tips (Code perspective)
Zone storage: Currently ring buffer ((idx+1) % zoneLimit). Could prioritize keeping unmitigated zones.
Automated testing: Add strategy.entry/exit for rule-based backtests.
Multi-timeframe: Use request.security() for higher timeframe swings/BOS.
Visualization: Add labels for BOS bars, tag zones with IDs, count touches.
Summary
This indicator formalizes the cycle Swing โ BOS โ OB creation โ Mitigation/Invalidation, providing consistent structure analysis and zone tracking. By tuning sensitivity and strictness, and combining with higher timeframe context, it enhances pullback/continuation trading setups. Always combine with proper risk management.
ADX Tide ZonesADX Tide Zones โ Adaptive Momentum & Trend Strength Framework
Overview
ADX Tide Zones โ Professional is a dynamic trend-strength visualizer designed for traders who want to interpret momentum with precision and context. By combining the Average Directional Index (ADX) with adaptive threshold logic, the indicator segments price action into distinct โtide zonesโ that reflect varying levels of market strength: Calm, Rising, Strong, and Falling Tides. These zones transform raw ADX readings into an interpretable framework that highlights when markets are consolidating, building momentum, trending strongly, or losing strength.
Unlike standard ADX readings, which can be difficult to interpret in real time, ADX Tide Zones translate momentum shifts into a continuous, color-coded system that traders can instantly read. Whether applied to scalping, intraday, or swing trading, the indicator offers a consistent methodology for identifying actionable opportunities across assets and timeframes.
How It Works
The foundation of ADX Tide Zones lies in momentum analysis via the ADX. By measuring the strength (not direction) of a trend, ADX provides an objective read on when markets are gaining or losing energy. ADX Tide Zones enhances this by applying threshold logic to classify ADX values into four distinct states:
Calm Tide : Low ADX values indicate sideways or consolidating conditions.
Rising Tide : ADX increases past a threshold, signaling momentum building.
Strong Tide : ADX remains elevated, confirming robust and sustained trend strength.
Falling Tide : ADX declines after strength, hinting at exhaustion or early reversal setups.
These states are displayed on the chart through adaptive visualizations (zones, bar colors, or overlays), offering real-time clarity on when to expect expansion, continuation, or contraction in price action.
Interpretation
Trend Analysis : By mapping transitions between tides, traders can instantly gauge whether markets are in accumulation, expansion, or exhaustion phases. Rising/Strong Tides reinforce trend continuation, while Falling Tides highlight weakening conditions.
Volatility & Risk Assessment : Shifts between Calm โ Rising Tide often precede volatility expansions. Falling Tides can signal a period of compression or corrective moves, warning traders to manage risk proactively.
Market Context : The indicator does not dictate direction; instead, it overlays strength on top of price action, allowing traders to combine it with directional tools such as moving averages, order blocks, or liquidity zones for confirmation.
Strategy Integration
ADX Tide Zones adapts seamlessly to a wide range of trading strategies by translating momentum dynamics into actionable frameworks:
Trend Following : Traders can align with dominant flows by entering positions when the indicator confirms a Rising Tide or Strong Tide. These conditions signal persistent directional strength, making them ideal for continuation setups. Combining directional bias with ADX confirmation reduces the risk of trading against prevailing momentum.
Breakout Trading : When the market transitions from Calm Tide into a Rising Tide, it often precedes a volatility expansion. This shift highlights breakout conditions where accumulation gives way to impulsive price movement. Traders can use this transition as a timing tool to catch early entries into new momentum phases.
Exhaustion Reversals : Strong Tide phases donโt last foreverโwhen they begin to fade into Falling Tide, it can mark trend fatigue or liquidity exhaustion. This offers contrarian traders an early edge in spotting overextended moves and positioning for corrective pullbacks or full reversals.
Multi-Timeframe Analysis : By overlaying higher timeframe tide zones on intraday or scalping charts, traders can filter noise and trade in alignment with larger flows. For example, combining a daily Rising Tide bias with a 15-minute breakout confirmation can significantly improve entry precision while reducing exposure to false signals.
Advanced Techniques
For traders seeking an extra edge, ADX Tide Zones can be pushed further with advanced methods:
Volume & Liquidity Confirmation : Pair the tide transitions with volume spikes, order flow, or liquidity sweep tools. When directional strength confirmed by the ADX coincides with institutional activity, it validates setups and increases probability of follow-through.
Cross-Asset Synchronization : Momentum rarely exists in isolation. Monitoring tide shifts across correlated instruments (e.g., majors vs. USD, or indices vs. risk assets) can uncover synchronized volatility events. These correlations help traders identify whether a move is isolated noise or part of a broader systemic trend.
Threshold Optimization : The sensitivity of ADX Tide Zones can be fine-tuned for different trading objectives. Lower thresholds heighten responsiveness, capturing micro-moves suitable for scalpers. Higher thresholds filter minor fluctuations, isolating major structural swings that align with swing or position trading.
Contextual Trade Management : Instead of using static stops or targets, traders can adapt risk management dynamically by tracking tide progression. For example, a trade initiated during Rising Tide may remain valid as long as conditions sustain, but partial profits or tighter stops can be applied once the zone shifts to Calm Tide.
Inputs & Customization
ADX Length : Define the lookback period for ADX calculation.
Threshold Levels : Adjust sensitivity for Calm, Rising, Strong, and Falling Tides.
Zone Visualization : Choose between bar coloring, background shading, or overlays.
Color Customization : Configure bullish, bearish, neutral, and tide-specific colors.
Multi-Timeframe Options : Enable tide readings from higher timeframes for confirmation.
Why Use ADX Tide Zones
ADX Tide Zones turns the complexity of momentum analysis into a visual system that highlights when markets are gearing up for moves, trending with conviction, or running out of steam. By combining adaptive ADX interpretation with customizable thresholds, traders can:
Anticipate breakouts before volatility expands.
Confirm the strength behind price trends.
Spot exhaustion phases early to secure profits or prepare for reversals.
Adapt strategies seamlessly between scalping, intraday, and swing trading.
With its balance of simplicity and depth, ADX Tide Zones provides a structured lens for reading market momentum, equipping traders with the clarity needed to execute with discipline and confidence.
ZLEMA Trend Index 2.0ZTI โ ZLEMA Trend Index 2.0 (0โ1000)
Overview
Price Mapped ZTI v2.0 - Enhanced Zero-Lag Trend Index.
This indicator is a significant upgrade to the original ZTI v1.0, featuring enhanced resolution from 0-100 to 0-1000 levels for dramatically improved price action accuracy. The Price Mapped ZTI uses direct price-to-level mapping to eliminate statistical noise and provide true proportional representation of market movements.
Key Innovation: Instead of statistical normalization, this version maps current price position within a user-defined lookback period directly to the ZTI scale, ensuring perfect correlation with actual price movements. I believe this is the best way to capture trends instead of directly on the charts using a plethora of indicators which introduces bad signals resulting in drawdowns. The RSI-like ZTI overbought and oversold lines filter valid trends by slicing through the current trading zone. Unlike RSI that can introduce false signals, the ZTI levels 1 to 1000 is faithfully mapped to the lowest to highest price in the current trading zone (lookback period in days) which can be changed in the settings. The ZTI line will never go off the beyond the ZTI levels in case of extreme trend continuation as the trading zone is constantly updated to reflect only the most recent bars based on lookback days.
Core Features
โ
10x Higher Resolution - 0-1000 scale provides granular movement detection
โ
Adjustable Trading Zone - Customizable lookback period from 1-50 days
โ
Price-Proportional Mapping - Direct correlation between price position and ZTI level
โ
Zero Statistical Lag - No rolling averages or standard deviation calculations
โ
Multi-Strategy Adaptability - Single parameter adjustment for different trading styles
Trading Zone Optimization
๐ Lookback Period Strategies
Short-term (1-3 days):
Ultra-responsive to recent price action
Perfect for scalping and day trading
Tight range produces more sensitive signals
Medium-term (7-14 days):
Balanced view of recent trading range
Ideal for swing trading
Captures meaningful support/resistance levels
Long-term (21-30 days):
Broader market context
Excellent for position trading
Smooths out short-term market noise
โก Market Condition Adaptation
Volatile Markets: Use shorter lookback (3-5 days) for tighter ranges
Trending Markets: Use longer lookback (14-21 days) for broader context
Ranging Markets: Use medium lookback (7-10 days) for clear boundaries
๐ฏ Timeframe Optimization
1-minute charts: 1-2 day lookback
5-minute charts: 2-5 day lookback
Hourly charts: 7-14 day lookback
Daily charts: 21-50 day lookback
Trading Applications
Scalping Setup (2-day lookback):
Super tight range for quick reversals
ZTI 800+ = immediate short opportunity
ZTI 200- = immediate long opportunity
Swing Trading Setup (10-day lookback):
Meaningful swing levels captured
ZTI extremes = high-probability reversal zones
More stable signals, reduced whipsaws
Advanced Usage
๐ง Real-Time Adaptability
Trending days: Increase to 14+ days for broader perspective
Range-bound days: Decrease to 3 days for tighter signals
High volatility: Shorter lookback for responsiveness
Low volatility: Longer lookback to avoid false signals
๐ก Multi-Timeframe Approach
Entry signals: Use 7-day ZTI on main timeframe
Trend confirmation: Use 21-day ZTI on higher timeframe
Exit timing: Use 3-day ZTI for precise exits
๐ Session Optimization
Asian session: Shorter lookback (3-5 days) for range-bound conditions
London/NY session: Longer lookback (7-14 days) for trending conditions
How It Works
The indicator maps the current price position within the specified lookback period directly to a 0-1000 scale and plots it using ZLEMA (Zero Lag Exponential Moving Average) which has the least lag of the available popular moving averages:
Price at recent high = ZTI at 1000
Price at recent low = ZTI at 1
Price at mid-range = ZTI at 500
This creates perfect proportional representation where every price movement translates directly to corresponding ZTI movement, eliminating the false signals common in traditional oscillators.
This single, versatile indicator adapts to any market condition, timeframe, or trading style through one simple parameter adjustment, making it an essential tool for traders at every level.
Credits
ZLEMA techniques widely attributed to John Ehlers.
Disclaimer
This tool is for educational purposes only and is not financial advice. Backtest and forwardโtest before live use, and always manage risk.
Please note that I set this as closed source to prevent source code cloning by others, repackaging and republishing which results in multiple confusing choices of the same indicator.
ORB with Golden Zone FIB targets, Any Timeframe by TenAMTraderDescription:
This indicator is designed to help traders identify key price levels using Fibonacci extensions and retracements based on the Opening Range Breakout (ORB). The levels are visualized as โGolden Zonesโ, which can serve as potential targets for trades.
Features:
Customizable ORB Timeframe: By default, the ORB is set from 9:30 AM to 9:45 AM EST, but any timeframe can be configured in the settings to fit your trading style.
Golden Zones as Targets: Fibonacci levels are intended to be used as potential profit-taking zones or areas to monitor for reversals, providing a structured framework for intraday and swing trading.
Adjustable Chart Settings: Color-coded levels make it easy to interpret at a glance, and all lines can be customized for personal preference.
Versatile Application: The indicator works across any timeframe, enabling traders to analyze both intraday and multi-day price action.
How to Use:
Ensure Regular Trading Hours (RTH) is enabled on your chart for accurate level calculation.
Observe price action near Golden Zones: a confirmed breakout may indicate continuation, while a pullback could signal a reversal opportunity.
Use the Golden Zones as reference targets for managing risk and planning exits.
Adjust the ORB timeframe and display settings to match your preferred trading style.
Legal Disclosure:
This indicator is provided for educational purposes only and is not financial advice. Trading carries a substantial risk of loss. Users should always perform their own analysis and consult a licensed financial professional before making any trading decisions. Past performance is not indicative of future results.
Swing Z | Zillennial Technologies Inc.Swing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align.
Core Concept
Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments.
Trend Structure (EMA 9, 21, 50, 200)
Short-term EMAs (9 & 21) detect immediate momentum shifts.
Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance.
Momentum & Confirmation Layer
RSI measures relative strength and market conditions.
MACD crossovers confirm momentum shifts and trend continuations.
Volatility & Market Pressure
TTM Squeeze highlights compression zones likely to precede breakouts.
Volume analysis confirms conviction behind directional moves.
VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks.
Price Action Filters
Fibonacci retracements are integrated to identify key reversal and continuation levels.
Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets.
Features
Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins).
Works effectively on swing and trend-based timeframes (1Hโ1D).
Combines trend, momentum, volatility, and price action into a single framework.
Generates clear Buy/Sell markers and integrates with TradingView alerts.
How to Use
Apply to a clean chart for the clearest visualization.
Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation.
Combine with your own stop-loss, take-profit, and position sizing rules.
Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results.
Disclaimer
Swing Z is designed as a decision-support tool, not financial advice.
All backtesting should use realistic risk, commission, and slippage assumptions.
Past results do not guarantee future performance.
Signals do not repaint but may adjust as new data develops in real-time.
Why Swing Z is original & useful:
Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action โ a design made specifically for the challenges and volatility of cryptocurrency markets.
Swing Z โ Crypto Trading Algorithm | Zillennial Technologies IncSwing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align.
Core Concept
Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments.
Trend Structure (EMA 9, 21, 50, 200)
Short-term EMAs (9 & 21) detect immediate momentum shifts.
Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance.
Momentum & Confirmation Layer
RSI measures relative strength and market conditions.
MACD crossovers confirm momentum shifts and trend continuations.
Volatility & Market Pressure
TTM Squeeze highlights compression zones likely to precede breakouts.
Volume analysis confirms conviction behind directional moves.
VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks.
Price Action Filters
Fibonacci retracements are integrated to identify key reversal and continuation levels.
Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets.
Features
Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins).
Works effectively on swing and trend-based timeframes (1Hโ1D).
Combines trend, momentum, volatility, and price action into a single framework.
Generates clear Buy/Sell markers and integrates with TradingView alerts.
How to Use
Apply to a clean chart for the clearest visualization.
Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation.
Combine with your own stop-loss, take-profit, and position sizing rules.
Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results.
Disclaimer
Swing Z is designed as a decision-support tool, not financial advice.
All backtesting should use realistic risk, commission, and slippage assumptions.
Past results do not guarantee future performance.
Signals do not repaint but may adjust as new data develops in real-time.
Why Swing Z is original & useful:
Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action โ a design made specifically for the challenges and volatility of cryptocurrency markets.
Persistence# Persistence
## What it does
Measures **price change persistence**, defined as the percentage of bars within a lookback window that closed higher than the prior close. A high value means the instrument has been closing up frequently, which can indicate durable momentum. This mirrors Stockbeeโs idea: *select stocks with high price change persistence*, and then combine **momentum plus persistence**.
## Can be used for scanning in PineScreener
## Calculation
* `isUp` is true when `close > close `.
* `countUp` counts true instances over the last `len` bars.
* `pctUp = 100 * countUp / len`, bounded between 0 and 100.
* A 50% level is a natural baseline. Above 50% suggests more up closes than down closes in the window.
## Inputs
* **Lookback bars (`len`)**: default 252 for roughly one trading year on a daily chart. On weekly charts use something like 52, on monthly charts use 12.
## How to use
1. **Screen for persistence**
Sort a watchlist by the plotted value, higher is better. Many momentum traders start looking above 58 to 65 percent, then layer a trend filter.
2. **Combine with momentum**
Examples, pick tickers with:
* `pctUp > 60`, and price above a rising EMA50 or EMA100.
* `pctUp rising` and weekly ROC positive.
3. **Switch timeframe to change the horizon**
* Daily chart with `len = 252` approximates one year.
* Weekly chart with `len = 52` approximates one year.
* Monthly chart with `len = 12` approximates one year.
## TC2000 equivalence
Stockbeeโs TC2000 expression:
```
CountTrue(c > c1, 252)
```
## Interpretation guide
* **70 to 90**: very strong persistence; often trend leaders, check for extensions and risk controls.
* **60 to 70**: constructive persistence; good hunting ground for swing setups that also pass momentum filters.
* **50**: neutral baseline; around random up vs down frequency.
* **Below 50**: persistent weakness; consider only for mean reversion or short strategies.
## Practical tips
* **Event effects**: ex-dividend gaps can reduce persistence on high yield names. Earnings gaps can swing the value sharply.
* **Survivorship bias**: when backtesting on curated lists, persistence can look cleaner than in live scans.
* **Liquidity**: thin names may show noisy persistence due to erratic prints.
## Reference to Stockbee
* โOne way to select stocks for swing trading is to find those with high price change persistence.โ
* โPersistence can be calculated on a daily, monthly, or weekly timeframe.โ
* TC2000 function: `CountTrue(c > c1, 252)`
* Example noted in the tweet: CVNA had very high one-year price persistence at the time of that post.
* Takeaway: **look for momentum plus persistence**, not persistence alone.
XAUUSD Buy/Sell Alerts with SL & TPThis custom TradingView indicator identifies high-probability buy and sell signals on XAUUSD using EMA crossovers combined with RSI confirmation. Designed for precision entries, it automatically calculates optimal Stop Loss (SL) and Take Profit (TP) levels based on user-defined pip distances.
Key Features:
Fast and Slow EMA crossover for trend direction
RSI filter for momentum confirmation
Dynamic SL and TP levels to manage risk and reward
Visual buy/sell signals plotted on chart
Real-time alerts with detailed messages including entry price, SL, and TP
Suitable for multiple timeframes and trading styles
Perfect for traders seeking clear signals with built-in risk management for scalping or swing trading XAUUSD.
Smart Money Precision Structure [BullByte]Smart Money Precision Structure
Advanced Market Structure Analysis Using Institutional Order Flow Concepts
---
OVERVIEW
Smart Money Precision Structure (SMPS) is a comprehensive market analysis indicator that combines six analytical frameworks to identify high-probability market structure patterns. The indicator uses multi-dimensional scoring algorithms to evaluate market conditions through institutional order flow concepts, providing traders with professional-grade market analysis.
---
PURPOSE AND ORIGINALITY
Why This Indicator Was Developed
โข Addresses the gap between retail and institutional analysis methods
โข Consolidates multiple analysis techniques that professionals use separately
โข Automates complex market structure evaluation into actionable insights
โข Eliminates the need for multiple indicators by providing comprehensive analysis
What Makes SMPS Original
โข Six-Layer Confluence System - Unique combination of market regime, structure, volume flow, momentum, price action, and adaptive filtering
โข Institutional Pattern Recognition - Identifies smart money accumulation and distribution patterns
โข Adaptive Intelligence - Parameters automatically adjust based on detected market conditions
โข Real-Time Market Scoring - Proprietary algorithm rates market quality from 0-100%
โข Structure Break Detection - Advanced pivot analysis identifies trend reversals early
---
HOW IT WORKS - TECHNICAL METHODOLOGY
1. Market Regime Analysis Engine
The indicator evaluates five core market dimensions:
โข Volatility Score - Measures current volatility against 50-period historical baseline
โข Trend Score - Analyzes alignment between 8, 21, and 50-period EMAs
โข Momentum Score - Combines RSI divergence with MACD signal alignment
โข Structure Score - Evaluates pivot point formation clarity
โข Efficiency Score - Calculates directional movement efficiency ratio
These scores combine to classify markets into five regimes:
โข TRENDING - Strong directional movement with aligned indicators
โข RANGING - Sideways movement with mixed directional signals
โข VOLATILE - Elevated volatility with unpredictable price swings
โข QUIET - Low volatility consolidation periods
โข TRANSITIONAL - Market shifting between different regimes
2. Market Structure Analysis
Advanced pivot point analysis identifies:
โข Higher Highs and Higher Lows for bullish structure
โข Lower Highs and Lower Lows for bearish structure
โข Structure breaks when established patterns fail
โข Dynamic support and resistance from recent pivot points
โข Key level proximity detection using ATR-based buffers
3. Volume Flow Decoding
Institutional activity detection through:
โข Volume surge identification when volume exceeds 2x average
โข Buy versus sell pressure analysis using price-volume correlation
โข Flow strength measurement through directional volume consistency
โข Divergence detection between volume and price movements
โข Institutional threshold alerts when unusual volume patterns emerge
4. Multi-Period Momentum Synthesis
Weighted momentum calculation across four timeframes:
โข 1-period momentum weighted at 40%
โข 3-period momentum weighted at 30%
โข 5-period momentum weighted at 20%
โข 8-period momentum weighted at 10%
Result smoothed with 6-period EMA for noise reduction.
5. Price Action Quality Assessment
Each bar evaluated for:
โข Range quality relative to 20-period average
โข Body-to-range ratio for directional conviction
โข Wick analysis for rejection pattern identification
โข Pattern recognition including engulfing and hammer formations
โข Sequential price movement analysis
6. Adaptive Parameter System
Parameters automatically adjust based on detected regime:
โข Trending markets reduce sensitivity and confirmation requirements
โข Volatile markets increase filtering and require additional confirmations
โข Ranging markets maintain neutral settings
โข Transitional markets use moderate adjustments
---
COMPLETE SETTINGS GUIDE
Section 1: Core Analysis Settings
Analysis Sensitivity (0.3-2.0)
โข Default: 1.0
โข Lower values require stronger price movements
โข Higher values detect more subtle patterns
โข Scalpers use 0.8-1.2, swing traders use 1.5-2.0
Noise Reduction Level (2-7)
โข Default: 4
โข Controls filtering of false patterns
โข Higher values reduce pattern frequency
โข Increase in volatile markets
Minimum Move % (0.05-0.50)
โข Default: 0.15%
โข Sets minimum price movement threshold
โข Adjust based on instrument volatility
โข Forex: 0.05-0.10%, Stocks: 0.15-0.25%, Crypto: 0.20-0.50%
High Confirmation Mode
โข Default: True (Enabled)
โข Requires all technical conditions to align
โข Reduces frequency but increases reliability
โข Disable for more aggressive pattern detection
Section 2: Market Regime Detection
Enable Regime Analysis
โข Default: True (Enabled)
โข Activates market environment evaluation
โข Essential for adaptive features
โข Keep enabled for best results
Regime Analysis Period (20-100)
โข Default: 50 bars
โข Determines regime calculation lookback
โข Shorter for responsive, longer for stable
โข Scalping: 20-30, Swing: 75-100
Minimum Market Clarity (0.2-0.8)
โข Default: 0.4
โข Quality threshold for pattern generation
โข Higher values require clearer conditions
โข Lower for more patterns, higher for quality
Adaptive Parameter Adjustment
โข Default: True (Enabled)
โข Enables automatic parameter optimization
โข Adjusts based on market regime
โข Highly recommended to keep enabled
Section 3: Market Structure Analysis
Enable Structure Validation
โข Default: True (Enabled)
โข Validates patterns against support/resistance
โข Confirms trend structure alignment
โข Essential for reliability
Structure Analysis Period (15-50)
โข Default: 30 bars
โข Period for structure pattern analysis
โข Affects support/resistance calculation
โข Match to your trading timeframe
Minimum Structure Alignment (0.3-0.8)
โข Default: 0.5
โข Required structure score for valid patterns
โข Higher values need stronger structure
โข Balance with desired frequency
Section 4: Analysis Configuration
Minimum Strength Level (3-5)
โข Default: 4
โข Minimum confirmations for pattern display
โข 5 = Maximum reliability, 3 = More patterns
โข Beginners should use 4-5
Required Technical Confirmations (4-6)
โข Default: 5
โข Number of aligned technical factors
โข Higher = fewer but better patterns
โข Works with High Confirmation Mode
Pattern Separation (3-20 bars)
โข Default: 8 bars
โข Minimum bars between patterns
โข Prevents clustering and overtrading
โข Increase for cleaner charts
Section 5: Technical Filters
Momentum Validation
โข Default: True (Enabled)
โข Requires momentum alignment
โข Filters counter-trend patterns
โข Essential for trend following
Volume Confluence Analysis
โข Default: True (Enabled)
โข Requires volume confirmation
โข Identifies institutional participation
โข Critical for reliability
Trend Direction Filter
โข Default: True (Enabled)
โข Only shows patterns with trend
โข Reduces counter-trend signals
โข Disable for reversal hunting
Section 6: Volume Flow Analysis
Institutional Activity Threshold (1.2-3.5)
โข Default: 2.0
โข Multiplier for unusual volume detection
โข Lower finds more institutional activity
โข Stock: 2.0-2.5, Forex: 1.5-2.0, Crypto: 2.5-3.5
Volume Surge Multiplier (1.8-4.5)
โข Default: 2.5
โข Defines significant volume increases
โข Adjust per instrument characteristics
โข Higher for stocks, lower for forex
Volume Flow Period (12-35)
โข Default: 18 bars
โข Smoothing for volume analysis
โข Shorter = responsive, longer = smooth
โข Match to timeframe used
Section 7: Analysis Frequency Control
Maximum Analysis Points Per Hour (1-5)
โข Default: 3
โข Limits pattern frequency
โข Prevents overtrading
โข Scalpers: 4-5, Swing traders: 1-2
Section 8: Target Level Configuration
Target Calculation Method
โข Default: Market Adaptive
โข Three modes available:
- Fixed: Uses set point distances
- Dynamic: ATR-based calculations
- Market Adaptive: Structure-based levels
Minimum Target/Risk Ratio (1.0-3.0)
โข Default: 1.5
โข Minimum acceptable reward vs risk
โข Higher filters lower probability setups
โข Professional standard: 1.5-2.0
Fixed Mode Settings:
โข Fixed Target Distance: 50 points default
โข Fixed Invalidation Distance: 30 points default
โข Use for consistent instruments
Dynamic Mode Settings:
โข Dynamic Target Multiplier: 1.8x ATR default
โข Dynamic Invalidation Multiplier: 1.0x ATR default
โข Adapts to volatility automatically
Market Adaptive Settings:
โข Use Structure Levels: True (default)
โข Structure Level Buffer: 0.1% default
โข Places levels at actual support/resistance
Section 9: Visual Display Settings
Color Theme Options
โข Professional (Teal/Red)
- Bullish: Teal (#26a69a)
- Bearish: Red (#ef5350)
- Neutral: Gray (#78909c)
- Best for: Traditional traders, clean appearance
โข Dark (Neon Green/Pink)
- Bullish: Neon Green (#00ff88)
- Bearish: Hot Pink (#ff0044)
- Neutral: Dark Gray (#333333)
- Best for: Dark theme users, high contrast
โข Light (Green/Red Classic)
- Bullish: Green (#4caf50)
- Bearish: Red (#f44336)
- Neutral: Light Gray (#9e9e9e)
- Best for: Light backgrounds, traditional colors
โข Vibrant (Cyan/Magenta)
- Bullish: Cyan (#00ffff)
- Bearish: Magenta (#ff00ff)
- Neutral: Medium Gray (#888888)
- Best for: High visibility, modern appearance
Dashboard Position
โข Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Left, Middle Right
โข Default: Top Right
โข Choose based on chart layout preference
Dashboard Size
โข Full: Complete information display (desktop)
โข Mobile: Compact view for small screens
โข Default: Full
Analysis Display Style
โข Arrows : Simple directional markers
โข Labels : Detailed text information
โข Zones : Colored areas showing pattern regions
โข Default: Labels (most informative)
Display Options:
โข Display Analysis Strength: Shows star rating
โข Display Target Levels: Shows target/invalidation lines
โข Display Market Regime: Shows regime in pattern labels
---
HOW TO USE SMPS - DETAILED GUIDE
Understanding the Dashboard
Top Row - Header
โข SMPS Dashboard title
โข VALUE column: Current readings
โข STATUS column: Condition assessments
Market Regime Row
โข Shows: TRENDING, RANGING, VOLATILE, QUIET, or TRANSITIONAL
โข Color coding: Green = Favorable, Red = Caution
โข Status: FAVORABLE or CAUTION trading conditions
Market Score Row
โข Percentage from 0-100%
โข Above 60% = Strong conditions
โข 40-60% = Moderate conditions
โข Below 40% = Weak conditions
Structure Row
โข Direction: BULLISH, BEARISH, or NEUTRAL
โข Status: INTACT or BREAK
โข Orange BREAK indicates structure failure
Volume Flow Row
โข Direction: BUYING or SELLING
โข Intensity: STRONG or WEAK
โข Color indicates dominant pressure
Momentum Row
โข Numerical momentum value
โข Positive = Upward pressure
โข Negative = Downward pressure
Volume Status Row
โข INST = Institutional activity detected
โข HIGH = Above average volume
โข NORM = Normal volume levels
Adaptive Mode Row
โข ACTIVE = Parameters adjusting
โข STATIC = Fixed parameters
โข Shows required confirmations
Analysis Level Row
โข Minimum strength level setting
โข Pattern separation in bars
Market State Row
โข Current analysis: BULLISH, BEARISH, NEUTRAL
โข Shows analysis price level when active
T:R Ratio Row
โข Current target to risk ratio
โข GOOD = Meets minimum requirement
โข LOW = Below minimum threshold
Strength Row
โข BULL or BEAR dominance
โข Numerical strength value 0-100
Price Row
โข Current price
โข Percentage change
Last Analysis Row
โข Previous pattern direction
โข Bars since last pattern
Reading Pattern Signals
Bullish Structure Pattern
โข Upward triangle or "Bullish Structure" label
โข Star rating shows strength (โ
โ
โ
โ
โ
= strongest)
โข Green line = potential target level
โข Red dashed line = invalidation level
โข Appears below price bars
Bearish Structure Pattern
โข Downward triangle or "Bearish Structure" label
โข Star rating indicates reliability
โข Green line = potential target level
โข Red dashed line = invalidation level
โข Appears above price bars
Pattern Strength Interpretation
โข โ
โ
โ
โ
โ
= 6 confirmations (exceptional)
โข โ
โ
โ
โ
โ = 5 confirmations (strong)
โข โ
โ
โ
โโ = 4 confirmations (moderate)
โข โ
โ
โโโ = 3 confirmations (minimum)
โข Below minimum = filtered out
Visual Elements on Chart
Lines and Levels:
โข Gray Line = 21 EMA trend reference
โข Green Stepline = Dynamic support level
โข Red Stepline = Dynamic resistance level
โข Green Solid Line = Active target level
โข Red Dashed Line = Active invalidation level
Pattern Markers:
โข Triangles = Arrow display mode
โข Text Labels = Label display mode
โข Colored Boxes = Zone display mode
Target Completion Labels:
โข "Target" = Price reached target level
โข "Invalid" = Pattern invalidated by price
---
RECOMMENDED USAGE BY TIMEFRAME
1-Minute Charts (Scalping)
โข Sensitivity: 0.8-1.2
โข Noise Reduction: 3-4
โข Pattern Separation: 3-5 bars
โข High Confirmation: Optional
โข Best for: Quick intraday moves
5-Minute Charts (Precision Intraday)
โข Sensitivity: 1.0 (default)
โข Noise Reduction: 4 (default)
โข Pattern Separation: 8 bars
โข High Confirmation: Enabled
โข Best for: Day trading
15-Minute Charts (Short Swing)
โข Sensitivity: 1.0-1.5
โข Noise Reduction: 4-5
โข Pattern Separation: 10-12 bars
โข High Confirmation: Enabled
โข Best for: Intraday swings
30-Minute to 1-Hour (Position Trading)
โข Sensitivity: 1.5-2.0
โข Noise Reduction: 5-7
โข Pattern Separation: 15-20 bars
โข Regime Period: 75-100
โข Best for: Multi-day positions
Daily Charts (Swing Trading)
โข Sensitivity: 1.8-2.0
โข Noise Reduction: 6-7
โข Pattern Separation: 20 bars
โข All filters enabled
โข Best for: Long-term analysis
---
MARKET-SPECIFIC SETTINGS
Forex Pairs
โข Minimum Move: 0.05-0.10%
โข Institutional Threshold: 1.5-2.0
โข Volume Surge: 1.8-2.2
โข Target Mode: Dynamic or Market Adaptive
Stock Indices (ES, NQ, YM)
โข Minimum Move: 0.10-0.15%
โข Institutional Threshold: 2.0-2.5
โข Volume Surge: 2.5-3.0
โข Target Mode: Market Adaptive
Individual Stocks
โข Minimum Move: 0.15-0.25%
โข Institutional Threshold: 2.0-2.5
โข Volume Surge: 2.5-3.5
โข Target Mode: Dynamic
Cryptocurrency
โข Minimum Move: 0.20-0.50%
โข Institutional Threshold: 2.5-3.5
โข Volume Surge: 3.0-4.5
โข Target Mode: Dynamic
โข Increase noise reduction
---
PRACTICAL APPLICATION EXAMPLES
Example 1: Strong Trending Market
Dashboard Reading:
โข Market Regime: TRENDING
โข Market Score: 75%
โข Structure: BULLISH, INTACT
โข Volume Flow: BUYING, STRONG
โข Momentum: +0.45
Interpretation:
โข Strong uptrend environment
โข Institutional buying present
โข Look for bullish patterns as continuation
โข Higher probability of success
โข Consider using lower sensitivity
Example 2: Range-Bound Conditions
Dashboard Reading:
โข Market Regime: RANGING
โข Market Score: 35%
โข Structure: NEUTRAL
โข Volume Flow: SELLING, WEAK
โข Momentum: -0.05
Interpretation:
โข No clear direction
โข Low opportunity environment
โข Patterns are less reliable
โข Consider waiting for regime change
โข Or switch to a range-trading approach
Example 3: Structure Break Alert
Dashboard Reading:
โข Previous: BULLISH structure
โข Current: Structure BREAK
โข Volume: INST flag active
โข Momentum: Shifting negative
Interpretation:
โข Trend reversal potentially beginning
โข Institutional participation detected
โข Watch for bearish pattern confirmation
โข Adjust bias accordingly
โข Increase caution on long positions
Example 4: Volatile Market
Dashboard Reading:
โข Market Regime: VOLATILE
โข Market Score: 45%
โข Adaptive Mode: ACTIVE
โข Confirmations: Increased to 6
Interpretation:
โข Choppy conditions
โข Parameters auto-adjusted
โข Fewer but higher quality patterns
โข Wider stops may be needed
โข Consider reducing position size
Below are a few chart examples of the Smart Money Precision Structure (SMPS) indicator in action.
โข Example 1 โ Bullish Structure Detection on SOLUSD 5m
โข Example 2 โ Bearish Structure Detected with Strong Confluence on SOLUSD 5m
---
TROUBLESHOOTING GUIDE
No Patterns Appearing
Check these settings:
โข High Confirmation Mode may be too restrictive
โข Minimum Strength Level may be too high
โข Market Clarity threshold may be too high
โข Regime filter may be blocking patterns
โข Try increasing sensitivity
Too Many Patterns
Adjust these settings:
โข Enable High Confirmation Mode
โข Increase Minimum Strength Level to 5
โข Increase Pattern Separation
โข Reduce Sensitivity below 1.0
โข Enable all technical filters
Dashboard Shows "CAUTION"
This indicates:
โข Market conditions are unfavorable
โข Regime is RANGING or QUIET
โข Market score is low
โข Consider waiting for better conditions
โข Or adjust expectations accordingly
Patterns Not Reaching Targets
Consider:
โข Market may be choppy
โข Volatility may have changed
โข Try Dynamic target mode
โข Reduce target/risk ratio requirement
โข Check if regime is VOLATILE
---
ALERTS CONFIGURATION
Alert Message Format
Alerts include:
โข Pattern type (Bullish/Bearish)
โข Strength rating
โข Market regime
โข Analysis price level
โข Target and invalidation levels
โข Strength percentage
โข Target/Risk ratio
โข Educational disclaimer
Setting Up Alerts
โข Click Alert button on TradingView
โข Select SMPS indicator
โข Choose alert frequency
โข Customize message if desired
โข Alerts fire on pattern detection
---
DATA WINDOW INFORMATION
The Data Window displays:
โข Market Regime Score (0-100)
โข Market Structure Bias (-1 to +1)
โข Bullish Strength (0-100)
โข Bearish Strength (0-100)
โข Bull Target/Risk Ratio
โข Bear Target/Risk Ratio
โข Relative Volume
โข Momentum Value
โข Volume Flow Strength
โข Bull Confirmations Count
โข Bear Confirmations Count
---
BEST PRACTICES AND TIPS
For Beginners
โข Start with default settings
โข Use High Confirmation Mode
โข Focus on TRENDING regime only
โข Paper trade first
โข Learn one timeframe thoroughly
For Intermediate Users
โข Experiment with sensitivity settings
โข Try different target modes
โข Use multiple timeframes
โข Combine with price action analysis
โข Track pattern success rate
For Advanced Users
โข Customize per instrument
โข Create setting templates
โข Use regime information for bias
โข Combine with other indicators
โข Develop systematic rules
---
IMPORTANT DISCLAIMERS
โข This indicator is for educational and informational purposes only
โข Not financial advice or a trading system
โข Past performance does not guarantee future results
โข Trading involves substantial risk of loss
โข Always use appropriate risk management
โข Verify patterns with additional analysis
โข The author is not a registered investment advisor
โข No liability accepted for trading losses
---
VERSION NOTES
Version 1.0.0 - Initial Release
โข Six-layer confluence system
โข Adaptive parameter technology
โข Institutional volume detection
โข Market regime classification
โข Structure break identification
โข Real-time dashboard
โข Multiple display modes
โข Comprehensive settings
## My Final Thoughts
Smart Money Precision Structure represents an advanced approach to market analysis, bringing institutional-grade techniques to retail traders through intelligent automation and multi-dimensional evaluation. By combining six analytical frameworks with adaptive parameter adjustment, SMPS provides comprehensive market intelligence that single indicators cannot achieve.
The indicator serves as an educational tool for understanding how professional traders analyze markets, while providing practical pattern detection for those seeking to improve their technical analysis. Remember that all trading involves risk, and this tool should be used as part of a complete analysis approach, not as a standalone trading system.
- BullByte
Smart Money Trades Pro [BOSWaves]Smart Money Trades Pro โ Advanced Market Structure & Liquidity Visualizer
Overview
Smart Money Trades Pro is a comprehensive trading tool designed for traders seeking an in-depth understanding of market structure, liquidity dynamics, and institutional flow. The indicator systematically identifies key market turning points, including break of structure (BOS) and change of character (CHoCH) events, and overlays these with adaptive visualizations to highlight high-probability trade setups. By integrating ATR-based risk zones, progressive take-profit levels, and real-time trade analytics, Smart Money Trades Pro transforms complex price action into an interpretable framework suitable for multiple trading styles, including scalping, intraday, and swing trading.
Unlike traditional static indicators, Smart Money Trades Pro adapts continuously to market conditions. It evaluates swing highs and lows over a configurable lookback period, then determines structural breaks using customizable confirmation methods (candle body or wick). The resulting signals are augmented with dynamic entry, stop-loss, and target levels, allowing traders to analyze potential trade opportunities with both precision and context. The indicatorโs design ensures that each visual elementโtrend-colored candles, signal markers, and risk/reward boxesโreflects real-time market conditions, offering an actionable interpretation of institutional activity.
How It Works
The indicatorโs foundation is built upon market structure analysis. By calculating pivot highs and lows over a specified period, Smart Money Trades Pro identifies potential points of liquidity accumulation and exhaustion. When price breaks a pivot high or low, the indicator evaluates whether this constitutes a BOS or a CHoCH, signaling trend continuation or reversal. These events are marked on the chart with distinct visual cues, allowing traders to quickly discern shifts in market sentiment without manually analyzing historical price action.
Once a structural break is confirmed, the indicator automatically determines entry levels, stop-loss placements, and progressive take-profit zones (TP1, TP2, TP3). These calculations are based on ATR-derived volatility, ensuring that targets scale with current market conditions. Risk and reward zones are plotted as shaded boxes, providing a clear visual representation of potential profit relative to risk for each trade setup. This system allows traders to maintain discipline and consistency, with dynamic trade management baked directly into the visualization.
Trend direction is further reinforced by color-coded candles, which reflect the prevailing market bias. Bullish trends are represented by one color, bearish trends by another, and neutral conditions are displayed in muted tones. This continuous visual feedback simplifies the process of trend assessment and helps confirm the validity of trade setups alongside BOS and CHoCH markers.
Signals and Breakouts
Smart Money Trades Pro includes structured visual signals to indicate actionable price movements:
Bullish Break Signals โ Triangular markers below the candle appear when a swing high is broken, suggesting potential long opportunities.
Bearish Break Signals โ Triangular markers above the candle appear when a swing low is broken, indicating potential short setups.
Change of Character (CHoCH) โ Special markers highlight trend reversals, showing where momentum shifts from bullish to bearish or vice versa.
These markers are strategically spaced to prevent overlap and remain clear during high-volatility periods. Traders can use them in combination with trend-colored candles, risk/reward zones, and ATR-based targets to assess the strength and reliability of each setup. The integrated table provides live trade information, including entry price, stop-loss level, take-profit levels, risk/reward ratio, and trade direction, ensuring that trade decisions are informed and data-driven.
Interpretation
Trend Analysis : The indicatorโs trend coloring, combined with BOS and CHoCH detection, provides an immediate view of market direction. Rising structures indicate bullish momentum, while falling structures signal bearish momentum. CHoCH markers highlight potential trend reversals or significant liquidity sweeps.
Volatility and Risk Assessment : ATR-based calculations determine stop-loss distances and target levels, giving a quantitative measure of risk relative to market volatility. Wide ATR readings indicate periods of high price fluctuation, whereas narrow readings suggest consolidation and reduced risk exposure.
Market Structure Insights : By monitoring swing highs and lows alongside break confirmations, traders can identify where institutional players are likely active. Areas with multiple structural breaks or overlapping targets can indicate liquidity hotspots, potential reversal zones, or areas of market congestion.
Trade Management : The built-in trade zones allow traders to visualize entry, risk, and reward simultaneously. Progressive targets (TP1, TP2, TP3) reflect incremental profit-taking strategies, while dynamic stop-loss levels help preserve capital during adverse moves.
Strategy Integration
Smart Money Trades Pro supports a range of trading approaches:
Trend Following : Enter trades in the direction of confirmed BOS while using CHoCH markers and trend-colored candles to validate momentum.
Pullback Entries : Use failed breakout retests or minor reversals toward broken structure levels for lower-risk entries.
Mean Reversion : In consolidated zones with narrow ATR and repeated BOS/CHoCH activity, anticipate reversals or short-term corrective moves.
Multi-Timeframe Confirmation : Overlay signals on higher or lower timeframes to filter noise and improve trade accuracy.
Stop-loss levels should be placed just beyond the opposing structural point, while take-profit targets can be scaled using the ATR-based zones. Progressive targets allow for partial exits or scaling out of trades while maintaining exposure to larger moves.
Advanced Techniques
Traders seeking greater precision can combine Smart Money Trades Pro with volume, momentum, or volatility indicators to validate signals. Observing sequences of BOS and CHoCH markers across multiple timeframes provides insight into liquidity accumulation and depletion trends. Tracking the expansion or contraction of ATR-based zones helps anticipate shifts in volatility, enabling better timing for entries and exits.
Customizing the structure period and confirmation type allows the indicator to adapt to different asset classes and timeframes. Shorter periods increase sensitivity to smaller swings, while longer periods filter noise and emphasize higher-probability structural breaks. By integrating these features, the indicator offers a robust statistical framework for disciplined, data-driven trading decisions.
Inputs and Customization
Structure Detection Period : Defines the lookback window for pivot high and low calculation.
Break Confirmation : Choose whether to confirm breaks using candle body or wick.
Display CHoCH : Toggle visibility of change-of-character markers.
Color Trend Bars : Enable color-coding of candles based on market structure direction.
Show Info Table : Display trade dashboard showing entry, stop-loss, take-profits, risk/reward, and bias.
Table Position : Choose from top-left, top-right, bottom-left, or bottom-right placement.
Color Customization : Configure bullish, bearish, neutral, risk, reward, and text colors for enhanced visual clarity.
Why Use Smart Money Trades Pro
Smart Money Trades Pro transforms complex market behavior into an actionable visual framework. By combining market structure analysis, liquidity tracking, ATR-based risk/reward mapping, and a dynamic trade dashboard, it provides a multidimensional view of the market. Traders can focus on execution, interpret trends, and evaluate overextensions or reversals without relying on guesswork. The indicator is suitable for scalping, intraday, and swing strategies, offering a comprehensive system for understanding and trading alongside institutional participants.
Dynamic Momentum Oscillator with Adaptive ThresholdsDynamic Momentum Oscillator with Adaptive Thresholds (DMO-AT)
This advanced indicator is designed to provide traders with a robust tool for identifying momentum shifts, overbought/oversold conditions, and potential reversals in any market. Unlike traditional oscillators with fixed thresholds, DMO-AT uses adaptive levels that adjust based on current volatility (via ATR) and incorporates volume weighting for more accurate signals in high-volume environments.
#### Key Features:
- **Momentum Calculation**: A normalized momentum value derived from price changes, optionally weighted by volume for enhanced sensitivity.
- **Adaptive Thresholds**: Overbought and oversold levels dynamically adjust using ATR, making the indicator adaptable to volatile or ranging markets.
- **Signal Line**: An EMA of the momentum for crossover signals, helping confirm trend directions.
- **Divergence Detection**: Built-in alerts for bullish and bearish divergences between price and momentum.
- **Visual Enhancements**: Background coloring for quick zone identification, dashed static lines for reference, and a customizable stats table displaying real-time values.
- **Alerts**: Multiple alert conditions for crossovers, zone entries, and divergences to keep you notified without constant chart watching.
#### How to Use:
1. Add the indicator to your chart via TradingView's indicator search.
2. Customize inputs: Adjust the momentum length, source, ATR length, and threshold multiplier to fit your trading style (e.g., shorter lengths for scalping, longer for swing trading).
3. Interpret Signals:
- **Crossover**: Momentum crossing above the signal line suggests bullish momentum; below indicates bearish.
- **Zones**: Entering the overbought (red) zone may signal a potential sell; oversold (green) for buys.
- **Divergences**: Use alerts to spot hidden opportunities where price and momentum disagree.
4. Combine with other tools like moving averages or support/resistance for confluence.
5. Enable the stats table for at-a-glance insights on the chart.
This indicator is versatile across timeframes and assets, from stocks to crypto. It's optimized for clarity and performance, with no repainting.
Polynomial Regression HeatmapPolynomial Regression Heatmap โ Advanced Trend & Volatility Visualizer
Overview
The Polynomial Regression Heatmap is a sophisticated trading tool designed for traders who require a clear and precise understanding of market trends and volatility. By applying a second-degree polynomial regression to price data, the indicator generates a smooth trend curve, augmented with adaptive volatility bands and a dynamic heatmap. This framework allows users to instantly recognize trend direction, potential reversals, and areas of market strength or weakness, translating complex price action into a visually intuitive map.
Unlike static trend indicators, the Polynomial Regression Heatmap adapts to changing market conditions. Its visual designโincluding color-coded candles, regression bands, optional polynomial channels, and breakout markersโensures that price behavior is easy to interpret. This makes it suitable for scalping, swing trading, and longer-term strategies across multiple asset classes.
How It Works
The core of the indicator relies on fitting a second-degree polynomial to a defined lookback period of price data. This regression curve captures the non-linear nature of market movements, revealing the true trajectory of price beyond the distortions of noise or short-term volatility.
Adaptive upper and lower bands are constructed using ATR-based scaling, surrounding the regression line to reflect periods of high and low volatility. When price moves toward or beyond these bands, it signals areas of potential overextension or support/resistance.
The heatmap colors each candle based on its relative position within the bands. Green shades indicate proximity to the upper band, red shades indicate proximity to the lower band, and neutral tones represent mid-range positioning. This continuous gradient visualization provides immediate feedback on trend strength, market balance, and potential turning points.
Optional polynomial channels can be overlaid around the regression curve. These three-line channels are based on regression residuals and a fixed width multiplier, offering additional reference points for analyzing price deviations, trend continuation, and reversion zones.
Signals and Breakouts
The Polynomial Regression Heatmap includes statistical pivot-based signals to highlight actionable price movements:
Buy Signals โ A triangular marker appears below the candle when a pivot low occurs below the lower regression band.
Sell Signals โ A triangular marker appears above the candle when a pivot high occurs above the upper regression band.
These markers identify significant deviations from the regression curve while accounting for volatility, providing high-quality visual cues for potential entry points.
The indicator ensures clarity by spacing markers vertically using ATR-based calculations, preventing overlap during periods of high volatility. Users can rely on these signals in combination with heatmap intensity and regression slope for contextual confirmation.
Interpretation
Trend Analysis :
The slope of the polynomial regression line represents trend direction. A rising curve indicates bullish bias, a falling curve indicates bearish bias, and a flat curve indicates consolidation.
Steeper slopes suggest stronger momentum, while gradual slopes indicate more moderate trend conditions.
Volatility Assessment :
Band width provides an instant visual measure of market volatility. Narrow bands correspond to low volatility and potential consolidation, whereas wide bands indicate higher volatility and significant price swings.
Heatmap Coloring :
Candle colors visually represent price position within the bands. This allows traders to quickly identify zones of bullish or bearish pressure without performing complex calculations.
Channel Analysis (Optional) :
The polynomial channel defines zones for evaluating potential overextensions or retracements. Price interacting with these lines may suggest areas where mean-reversion or trend continuation is likely.
Breakout Signals :
Buy and Sell markers highlight pivot points relative to the regression and volatility bands. These are statistical signals, not arbitrary triggers, and should be interpreted in context with trend slope, band width, and heatmap intensity.
Strategy Integration
The Polynomial Regression Heatmap supports multiple trading approaches:
Trend Following โ Enter trades in the direction of the regression slope while using the heatmap for momentum confirmation.
Pullback Entries โ Use breakouts or deviations from the regression bands as low-risk entry points during trend continuation.
Mean Reversion โ Price reaching outer channel boundaries can indicate potential reversal or retracement opportunities.
Multi-Timeframe Alignment โ Overlay on higher and lower timeframes to filter noise and improve entry timing.
Stop-loss levels can be set just beyond the opposing regression band, while take-profit targets can be informed by the distance between the bands or the curvature of the polynomial line.
Advanced Techniques
For traders seeking greater precision:
Combine the Polynomial Regression Heatmap with volume, momentum, or volatility indicators to validate signals.
Observe the width and slope of the regression bands over time to anticipate expanding or contracting volatility.
Track sequences of breakout signals in conjunction with heatmap intensity for systematic trade management.
Adjusting regression length allows customization for different assets or timeframes, balancing responsiveness and smoothing. The combination of polynomial curve, adaptive bands, heatmap, and optional channels provides a comprehensive statistical framework for informed decision-making.
Inputs and Customization
Regression Length โ Determines the number of bars used for polynomial fitting. Shorter lengths increase responsiveness; longer lengths improve smoothing.
Show Bands โ Toggle visibility of the ATR-based regression bands.
Show Channel โ Enable or disable the polynomial channel overlay.
Color Settings โ Customize bullish, bearish, neutral, and accent colors for clarity and visual preference.
All other internal parameters are fixed to ensure consistent statistical behavior and minimize potential misconfiguration.
Why Use Polynomial Regression Heatmap
The Polynomial Regression Heatmap transforms complex price action into a clear, actionable visual framework. By combining non-linear trend mapping, adaptive volatility bands, heatmap visualization, and breakout signals, it provides a multi-dimensional perspective that is both quantitative and intuitive.
This indicator allows traders to focus on execution, interpret market structure at a glance, and evaluate trend strength, overextensions, and potential reversals in real time. Its design is compatible with scalping, swing trading, and long-term strategies, providing a robust tool for disciplined, data-driven trading.
Daily High/Low (15m) + EMA Pre-Market H/L + ORBStraightforward:
I built a swing-trading indicator with ChatGPT that plots 15-minute highs and lows, draws pre-market high/low lines, and adds a 15-minute opening-range breakout feature.
Technical:
Using ChatGPT, I developed a swing-trade indicator that calculates 15-minute highs/lows, overlays pre-market high and low levels, and includes a 15-minute Opening Range Breakout (ORB) module.
Promotional:
I created a ChatGPT-powered swing-trading indicator that maps 15-minute highs/lows, marks pre-market levels, and features a 15-minute Opening Range Breakout for clearer entries.
MK_OSFT-Multi-Timeframe MA Dashboard & Smart Alerts-v2๐ Multi-Timeframe MA Dashboard & Smart Alerts v2.0
Transform your trading with the ultimate moving average monitoring system that tracks up to 8 different MA configurations across multiple timeframes simultaneously.
๐ฏ What This Indicator Does
This advanced dashboard eliminates the need to constantly switch between timeframes by displaying all your critical moving averages on a single chart. Whether you're scalping on 5-minute charts or swing trading on daily timeframes, you'll instantly see the big picture.
โญ Key Features
๐ Multi-Timeframe Moving Averages
Monitor up to **8 different MA configurations** simultaneously
Support for **SMA and EMA** across 6 timeframes (5m, 15m, 1h, 4h, Daily, Weekly)
Each MA fully customizable: length, color, alert settings, and visibility
Smart visual representation with labeled horizontal lines and connecting plots
๐จ Intelligent Alert System
Cross-over/Cross-under alerts for price vs MA interactions
Three alert modes : No alerts, Once only, or Once per bar close
Smart batching system prevents alert spam during volatile periods
Queue management with 3-second delays between alerts for optimal performance
Easy alert reset functionality for "once only" alerts
๐ Real-Time Information Dashboard
Live countdown timers showing time remaining until each timeframe closes
Color-coded progress bars with gradient visualization (green โ yellow โ orange โ red)
Instant cross-over detection with up/down arrow indicators
Price vs MA relationship clearly displayed (above/below coloring)
๐จ Professional Visualization
Anti-overlap technology prevents labels from clustering
Customizable label positioning and sizing options
Drawing order control (larger timeframes first/last)
Connecting lines link current price to MA values
Status line integration for quick value reference
๐ก Perfect For
Multi-timeframe traders [/b who need complete market context
Trend followers monitoring key MA levels across timeframes
Breakout traders waiting for price to cross critical moving averages
Risk managers using MAs as dynamic support/resistance levels
Anyone wanting organized, clutter-free MA monitoring
โ๏ธ Highly Configurable
Moving Average Settings
Individual enable/disable for each of 8 MA slots
Flexible timeframe selection : 5m, 15m, 1h, 4h, Daily, Weekly
MA type choice : SMA or EMA for each configuration
Custom lengths from 1 to any desired period
Color customization for each MA line and label
Alert Management
Per-MA alert configuration : Choose which MAs trigger alerts
Source selection : Current bar vs last confirmed bar calculations
Frequency control : Prevent over-alerting with smart queuing
Reset functionality : Easily reactivate "fired" once-only alerts
Display Options
Table positioning : Top-right, bottom-left, or bottom-right
Label styling : Size, offset, and gap control
Line customization : Width and extension options
Timezone adjustment : Align timestamps with your local time
๐ง Technical Excellence
Optimized performance with efficient array management and single-pass calculations
Real-time vs historical mode handling for accurate backtesting
Memory-efficient label and line management prevents accumulation
Robust error handling and edge case management
Clean, well-documented code following Pine Script best practices
๐ How to Use
Add to chart and configure your desired MA combinations
Set alert preferences for each MA (none/once/per bar)
Create TradingView alert using "Any alert() function calls"
Monitor the dashboard for cross-over signals and timeframe progress
Use the info table to track all MA values and alert statuses at a glance
๐ Educational Value
This indicator serves as an excellent educational tool for understanding:
Multi-timeframe analysis principles
Moving average confluence and divergence
Alert system design and management
Professional indicator development techniques
---
Transform your trading workflow with this professional-grade multi-timeframe MA monitoring system. No more chart hopping - get the complete moving average picture in one powerful dashboard!
ยฉ MK_OSF_TRADING | Pine Script v6 | Mozilla Public License 2.0
All Weekly Opens + Week LabelThis script plots every Weekly Open (WO) across the entire chart, making it easy for traders to backtest how price reacts to weekly opens historically.
Each weekly open is drawn as a horizontal line and labeled with the month abbreviation and the week number of that month (e.g., WO Aug-4). This allows traders to quickly identify where each weekly session started and analyze market behavior around these key reference levels.
How it works
The script detects the first bar of each new week and records its opening price.
A horizontal line is drawn at that price, extending to the right.
An optional label shows the week name in the format Month-WeekNumber.
Traders can enable or disable labels, change line colors, line width, and optionally display the opening price in the label.
A new input allows filtering to show only the last N months of Weekly Opens. By default, all weekly opens are displayed, but traders can limit the chart to just the most recent ones for a cleaner view.
Why itโs useful
Weekly opens are often respected levels in both intraday and swing trading. They provide natural reference points for:
Backtesting market reactions to session opens.
Identifying areas of support/resistance around weekly levels.
Aligning trade entries and exits with higher-timeframe context.
Simplifying charts by focusing only on the most relevant recent weeks.
Notes
This indicator is not a trading signal generator.
It should be used as a contextual tool for analysis, helping traders improve risk management and entry precision.
Works on all symbols and timeframes.
The โlast N monthsโ filter is optional; setting it to 0 will plot all Weekly Opens available in the chartโs history.
VWAP with period (rajib127)VWAP with Adjustable Period (rajib127)
This advanced VWAP (Volume Weighted Average Price) indicator offers enhanced functionality with customizable anchor periods and multiple standard deviation bands.
Key Features:
Adjustable Anchor Period: Unlike standard VWAP that resets daily, this indicator allows you to set custom anchor timeframes (Daily, Weekly, Monthly) to match your trading strategy
Multiple Deviation Bands: Display up to 3 sets of bands with customizable multipliers for better support/resistance identification
Dual Calculation Modes: Choose between Standard Deviation or Percentage-based band calculations
Flexible Price Sources: Select from 7 different price calculation methods (Typical, Close, High, Low, Median, Weighted, Open)
Timeframe Visibility Control: Option to hide VWAP on higher timeframes (Daily and above) for cleaner charts
Visual Enhancements: Color-coded bands with fill areas and real-time value display table
Trading Applications:
Identify dynamic support and resistance levels
Spot mean reversion opportunities when price deviates from bands
Use different anchor periods for swing trading vs day trading strategies
Combine with other indicators for confluence-based entries
Unique Advantage:
The ability to adjust the VWAP reset period makes this indicator versatile for various trading styles - from intraday scalping with hourly resets to swing trading with weekly anchors.
Perfect for traders who want more control over their VWAP analysis beyond the standard daily reset limitation.
Scalping Line Strategy๐ Scalping Line Strategy โ A Precision Crossover System
๐ Overview
The Scalping Line Strategy is a short-term trading system built around the concept of momentum-driven crossovers between a smoothed moving average filter and a fast signal line. It is designed for scalpers and intraday traders who seek clear entry signals, minimal lag, and adaptive filtering to fit volatile market conditions.
At its core, the strategy uses a custom signal line ("Scalping Line"), which is derived from the difference between a double-smoothed moving average and a shorter-period signal line. Trade entries are triggered when this Scalping Line crosses above or below zero, providing a clean and rules-based framework for both long and short setups.
โ๏ธ Core Logic
Main Trend Filter โ A double-smoothed moving average is calculated over a configurable period (default 100). This reduces noise and provides a more robust backbone for scalping signals.
Percent-Based Filter โ To avoid false signals, a customizable percentage filter adjusts how closely the system โrespectsโ price deviations from the moving average. This helps filter out insignificant fluctuations.
Signal Line โ A shorter-period simple moving average (default 7) provides faster responsiveness to recent price action.
Scalping Line (SLI) โ Calculated as the difference between the fast signal line and the smoothed moving average. When the SLI crosses zero, it signals a potential momentum shift.
SLI > 0 โ Momentum bias is bullish.
SLI < 0 โ Momentum bias is bearish.
๐ฏ Trade Direction & Flexibility
Trade Direction Control:
Choose between Long Only, Short Only, or Both to tailor the system to your trading style.
Signal Flip Option:
By default, long entries occur when the SLI crosses below zero, and shorts when it crosses above zero. This orientation can be flipped, allowing for alternative interpretations of the signals depending on how you want to capture momentum in your market.
๐ Time Window Filtering
For intraday traders, a time filter can be enabled to restrict signals to specific trading sessions (e.g., 9 AM โ 4 PM EST). This is particularly useful when trading assets such as equities or futures that have strong intraday volatility windows.
๐ Visuals & Clarity
Scalping Line Plot: Displayed as a dynamic oscillator around a zero baseline.
Histogram Fill: Green when above zero (bullish bias), red when below zero (bearish bias).
Signal Markers: Clear arrows mark long and short entries at crossover points.
Zero Line Reference: A flat gray line at zero assists in visually gauging momentum shifts.
๐ Strategy Execution
Long Entry: Triggered when SLI crosses below zero (or above zero if flip is enabled) within allowed session hours.
Short Entry: Triggered when SLI crosses above zero (or below zero if flip is enabled) within allowed session hours.
Built-in Signal Cancels: Pending entries are canceled if conditions are no longer valid, ensuring no stale trades remain active.
โ
Best Use Cases
Markets: Works across equities, forex, crypto, and futures with sufficient intraday volatility.
Timeframes: Most effective on 1m to 15m charts for scalping setups, but adaptable to higher frames for swing trading.
Style: Traders who appreciate simple, rules-based momentum crossovers will find this system easy to follow and highly adaptable.
โ ๏ธ Risk Management Note
This strategy is strictly an entry signal framework. Position sizing, stop-loss, and take-profit rules must be overlaid based on your risk management style. Always validate results with backtesting and forward testing before applying to live trading accounts.
๐ Final Thoughts
The Scalping Line Strategy offers a refined, easy-to-interpret approach to intraday trading. By combining smoothed moving averages, adaptive filtering, and flexible signal options, it helps traders identify short-term momentum shifts with clarity and confidence, making it a highly configurable tool for scalping-focused strategies.
