EMA 8 Break & Retest ScalperEMA 8 Break & Retest, Candle Close und Wick
BUY / SELL Signale
Scalping
EMA 8 Break & Retest, Candle Close and Wick
BUY / SELL Signals
Scalping
Indicators and strategies
Dual MACD + MFI + Volume Trend [v6] | High-ConvictionMFI MACD VOL to know when to enter and leave trades
GME Regime Detector [AntiGravity]regime change identifies large buying or selling not supported by price movement.
green signals a time to begi to look for entry. and red signals a time to look to trim.
i would not suggest massive position changes, but a quick dip might not hurt.
NFA.
Stochastic Dynamic BandsStochastic is a purpose-built oscillator designed for clean, actionable signals instead of noisy crosses. It lets you switch between Classic Stochastic and StochRSI, then adapts to current market conditions with optional dynamic percentile bands rather than fixed 80/20 levels. You can trigger signals by standard K/D crosses, by higher-quality re-entry logic when momentum exits an extreme zone, or both. A built-in EMA trend filter helps align signals with the dominant direction, and the indicator keeps a classic stochastic panel layout with clear active bands and alert support for every signal type.
Gap Finder PROGap Finder PRO
An advanced TradingView indicator that detects bullish and bearish price gaps, tracks them in real time, and confirms closure only after a full candle close.
Features clear color-coded gaps, visual fill symbols, gap strength columns, and sound alerts for precise, noise-free gap trading.
Bollinger Bands + 5 Flexible MA [Ahorrador de Espacio]Description:
This "All-in-One" indicator combines classic Bollinger Bands with up to 5 fully customizable Moving Averages (MA) in a single script.
Designed specifically for traders who want to maximize their technical analysis setup without using up multiple indicator slots (ideal for Basic/Free plan users).
Key Features:
Bollinger Bands: Standard configuration (SMA 20, StdDev 2) with visual contact alerts (Triangles).
5 Independent Moving Averages:
Toggle On/Off: Activate only the lines you need.
Total Flexibility: Choose between SMA (Simple) or EMA (Exponential) for each individual line.
Customization: Full control over length, color, and line thickness.
Clean Interface: MAs 4 and 5 are disabled by default to keep your chart clean, but are ready to be activated in the settings.
How to Use:
Add the indicator to your chart.
Open the Settings (gear icon).
Select which MAs you want to display (e.g., SMA 200 for trend, EMA 9 for scalping).
Use at your own discretion as a confluence tool for trend and volatility.
Note: This script is a visualization tool. The band signals (triangles) indicate price touching the outer bands, which can signify either a potential reversal or trend continuation depending on the market context.
EMA Crossover Arrows (6 EMA & 20 EMA)EMA Crossover Arrows (6 EMA & 20 EMA) - Quick Signal Detector
📊 OVERVIEW
A simple yet powerful indicator that automatically marks exact moments when the 6 EMA crosses the 20 EMA - giving you clear visual signals for potential trend changes without any chart clutter.
🎯 WHAT IT SHOWS
Two precise crossover signals:
- Blue Triangle Up (↑): 6 EMA crosses ABOVE 20 EMA (Bullish signal)
- Pink Triangle Down (↓): 6 EMA crosses BELOW 20 EMA (Bearish signal)
✨ KEY FEATURES
✓ Clean arrow markers appear only at crossover moments
✓ No lag - signals appear in real-time as crossovers occur
✓ Works on ANY timeframe (1min, 5min, 1H, daily, etc.)
✓ Non-intrusive - arrows don't clutter your chart
✓ Perfect for swing trading and trend following
✓ Zero configuration required
⚙️ TECHNICAL DETAILS
- 6 EMA: Fast-moving average for quick trend detection
- 20 EMA: Slower average providing trend confirmation
- Crossover detection uses Pine Script's built-in ta.crossover/crossunder functions
- No repainting - signals are final once the bar closes
Adaptive Pullbacks ML v2.5Adaptive Pullbacks ML - Context-Aware Trend Trading
Overview
Adaptive Pullbacks ML is a sophisticated trend-following tool that solves the biggest problem in pullback trading: "Is this a dip to buy, or the start of a reversal?"
Unlike standard indicators that use fixed percentages or static moving averages, this script uses a 5-Dimensional k-Nearest Neighbors (k-NN) machine learning engine to learn the specific characteristics of successful pullbacks for the asset you are trading.
The 5-Dimensional ML Engine
The market is dynamic. A pullback depth that works in a low-volatility lunch session might fail during a high-volatility news event. This indicator tracks 5 key dimensions for every pullback:
Depth (ATR Normalized): How deep is the pullback relative to volatility?
Trend Slope: Is the trend steep (parabolic) or flat (grinding)?
ADX: How strong is the directional energy?
VWAP Distance: Is price extended or close to value?
Time of Day: Is this a morning drive or an afternoon fade?
When a new pullback occurs, the k-NN engine finds the 5 most similar historical events across these dimensions and predicts the probability of success.
Core Features
1. Fractal Normalization
The indicator speaks the language of ATR (Average True Range). It doesn't care if you trade the 15-second chart or the Daily chart. A "1.5 ATR Pullback" is a statistically comparable event across all timeframes, allowing for robust, scale-invariant analysis.
2. HTF Stats Bridge (Higher Timeframe Data)
You can trade on lower timeframes (e.g., 1-minute) while using statistics derived from higher timeframes (e.g., 15-minute). This ensures your signals are based on significant market structure, not microstructure noise.
3. Smart Zones
The indicator plots dynamic "Value Zones" based on learning:
Cyan Zone (Avg Depth): The "Sweet Spot". High probability bounce area.
Yellow Zone (Sigma): The "Extension". Price is stretching elastic limits.
Red Zone (Deep): The "Danger/Opportunity". Statistical anomaly.
4. PQS & k-NN Filters
Two layers of filtering protect your capital:
PQS (Probability Qualification Score): Based on raw win-rate of the zone.
k-NN Probability: Based on similarity to past winners.
Settings Guide
Stats Timeframe: The timeframe to learn from (Leave empty for Chart).
Trend/Trigger Settings: Define what constitutes a trend for your strategy.
k-Neighbors: Number of historical twins to compare (Default: 5).
Min PQS / k-NN: Thresholds for filtering weak signals.
Disclaimer: This tool is for educational purposes. Past performance of the k-NN engine does not guarantee future results.
Neeson Mayer MultipleIntegrating the Mayer Multiple Indicator: A Practical Guide for Market Analysis
Introduction
The Mayer Multiple indicator is a specialized tool designed to assess asset valuations relative to their long-term historical trends. By comparing current price action against a long-term simple moving average, this indicator provides a quantitative framework for identifying potential overbought and oversold conditions. This article explains the rationale behind its design, operational mechanics, practical applications, and unique value proposition.
Purpose and Functionality
The primary function of the Mayer Multiple indicator is to measure how far current prices deviate from a long-term moving average, expressed as a ratio. This measurement helps traders and investors identify:
Extreme valuation levels that may signal potential reversal points
Long-term trend strength and sustainability
Market psychology shifts between fear and greed cycles
Originally popularized in Bitcoin analysis, the indicator's principles apply to any volatile asset class where mean reversion tendencies exist alongside strong trend characteristics.
Operational Principles
The indicator operates through several interconnected components:
Core Calculation Mechanism
At its heart, the indicator calculates the Mayer Multiple by dividing the current closing price by a configurable simple moving average (default: 200 periods). This ratio represents how many times the current price exceeds its long-term average, providing an immediate visual reference for valuation extremes.
Multi-Level Threshold System
Four configurable thresholds create distinct market condition zones:
Optimal Buy Zone (default: 0.7) - Historically extreme undervaluation
Undervalued Zone (default: 1.0) - Moderate undervaluation
Overvalued Zone (default: 2.4) - Moderate overvaluation
Optimal Sell Zone (default: 3.5) - Historically extreme overvaluation
These thresholds create a graduated scale of market conditions rather than binary signals.
Visual Signal Hierarchy
A sophisticated color-coding system prioritizes different signal types based on their significance:
White/Gray: Neutral territory (between undervalued and overvalued thresholds)
Aqua: Entering undervalued territory (potential accumulation zone)
White: Reaching optimal buying conditions (historically rare opportunities)
Yellow: Entering overvalued territory (potential distribution zone)
Orange: Reaching optimal selling conditions (historically rare extremes)
Green: Emerging from optimal buying conditions (momentum shift confirmation)
Red: Retreating from optimal selling conditions (momentum reversal confirmation)
This hierarchy helps users distinguish between entry signals, exit signals, and confirmation signals.
Integration Rationale
The integration of these components follows a logical progression:
Mathematical Foundation
The moving average provides a stable reference point that filters out short-term noise while maintaining sensitivity to long-term trend changes. The ratio format normalizes values across different price levels and timeframes, enabling cross-asset comparisons.
Behavioral Finance Alignment
The threshold system corresponds to documented market psychology patterns. The extreme thresholds (optimal buy/sell) represent points where fear or greed typically reach maximum intensity, while the moderate thresholds represent early warning levels.
Progressive Signal Detection
The indicator tracks both threshold breaches and retreats from extreme zones. This dual-tracking approach captures not only when conditions become extreme but also when they begin to normalize—often the most actionable moments for position adjustments.
Component Synergy
The indicator's components work together through a continuous feedback loop:
Calculation Engine: Continuously computes the core ratio, serving as the foundation for all subsequent analysis.
Threshold Comparator: Compares the current ratio against user-defined thresholds, categorizing market conditions in real-time.
Signal Generator: Identifies specific events (threshold crossings, zone entries/exits) and assigns appropriate visual representations.
Visual Renderer: Displays the information through colored histograms, reference lines, and data tables, creating an intuitive interface.
Alert System: Monitors for predefined conditions and notifies users of significant developments without requiring constant screen monitoring.
This integrated approach transforms raw price data into structured, actionable information while maintaining mathematical rigor and visual clarity.
Practical Application Guidelines
Parameter Customization
Users should adjust parameters based on:
Asset volatility (higher volatility assets may require wider thresholds)
Timeframe (longer timeframes may benefit from longer moving averages)
Personal risk tolerance (conservative traders may use tighter thresholds)
Signal Interpretation Framework
Zone-Based Analysis: Focus on which zone the indicator occupies rather than chasing individual data points
Confirmation Seeking: Use extreme zone signals (white/orange) as alerts for further analysis rather than automatic trade triggers
Momentum Assessment: Observe how quickly the indicator moves between zones as a measure of trend strength
Complementary Tools
The Mayer Multiple works best when combined with:
Volume analysis to confirm participation during extreme readings
Momentum indicators to identify potential divergence
Support/resistance levels for precise entry/exit timing
Fundamental analysis for context validation
Distinctive Attributes
Original Implementation Features
Progressive Color System: Unlike binary indicators, this implementation provides graduated signals through a carefully prioritized color hierarchy.
Dual-Signal Detection: The indicator captures both threshold breaches and retreats, offering insights into momentum shifts rather than just static levels.
Contextual Display: The integrated data table provides immediate access to key metrics without cluttering the chart space.
Customizable Framework: All thresholds and calculation periods are adjustable, allowing adaptation to different market regimes and trading styles.
Practical Innovation
The indicator's design emphasizes usability through:
Immediate visual comprehension via color coding
Clear separation between alert conditions and confirmation signals
Balanced information density (sufficient data without overload)
Flexible integration with existing trading workflows
Responsible Usage Considerations
Empirical Perspective
Historical analysis suggests that assets frequently revert toward their long-term moving averages, but the timing and extent of such reversions vary significantly. The indicator identifies statistical extremes rather than predicting immediate price movements.
Risk Management Integration
Users should:
Treat extreme readings as risk management triggers rather than directional forecasts
Consider position sizing based on distance from the moving average
Implement stop-loss strategies regardless of indicator readings
Avoid allocating excessive weight to any single indicator
Performance Realism
The indicator does not guarantee profitable outcomes. Its value lies in providing structured information about valuation extremes, which must be interpreted within broader market context and individual risk parameters.
Conclusion
The Mayer Multiple indicator represents a thoughtfully integrated approach to long-term valuation analysis. By combining mathematical rigor with behavioral insights and practical visualization, it provides traders with a structured framework for assessing market extremes. Its modular design allows customization while maintaining core analytical integrity, and its emphasis on graduated signals helps avoid the oversimplification common in technical indicators. When used as part of a comprehensive trading methodology with appropriate risk management, it can contribute valuable perspective to the decision-making process.
VWAP Tension Bands + Osc Sigma Gap [MAXmks]Hello Traders,
This indicator started as an accident. I was building a different tool — a multi-metric dashboard — and added VWAP deviation as one of the components. I expected it to help catch falling knives. It didn't.
But I noticed something else. During cooling-off periods — when volatility fades and price just sits there, not really going anywhere — VWAP deviation on lower timeframes would start climbing quietly. And more often than not, a pullback followed. Sometimes a liquidity sweep first, then a pullback. I watched this pattern for months before deciding to build a dedicated tool around it, adding oscillator confirmation to filter the noise.
This is that tool.
The core idea
Markets act like a rubber band around VWAP — the further price stretches, the higher the tension. But raw deviation isn't enough. The real question: is momentum confirming the stretch, or lagging behind?
The σ-Gap captures when these two disagree — price pushed hard, but internals haven't caught up. That's where mean-reversion setups tend to appear.
The indicator tracks VWAP deviation across 2m / 5m / 15m simultaneously and compares it against a composite of momentum oscillators (Williams %R, CVD-based metrics). Signals require multi-timeframe consensus — no single timeframe can trigger alone.
Adaptive thresholds
What counts as "extreme" isn't fixed. Distance is measured in standard deviations (σ) , not pips or percentages — so the indicator adapts to volatility automatically. Thresholds scale with regime and historical distribution, adjusting to current market conditions in real time.
Two modes
Standard — adaptive thresholds, more signals. Good for active sessions and exploration.
High Precision — adds divergence confirmation from multiple oscillators (MFI, Delta RSI, CVD Z-Score). Fewer signals, higher selectivity.
Extreme Tension
When σ-Gap exceeds 1.6× the threshold, the indicator can fire without full confirmation. Rare, but these are the "overstretched" moments worth watching.
Filters (so you don't trade ghosts)
RVOL filter blocks signals during low activity. Session close filter avoids entries near VWAP reset. 24h volume filter skips illiquid instruments. Cooldown prevents signal clustering in the same direction.
Best use case
Built for short-term mean-reversion — quick snapback plays on 5m–15m charts where price overextends and reverts within a few candles. The engine is optimized for this rhythm, not for trend-following or swings.
On-chart
Tension Bands show dynamic threshold zones around VWAP. Signals are non-repainting and confirmed on bar close. Compact HUD displays all metrics, filter states, and signal status in real time.
Alerts
Pre-signal alerts when conditions start forming. Confirmed signal alerts with full breakdown: VWAP deviation values, σ-Gap readings, divergences detected, current mode.
Volume matters
This is a VWAP-based indicator. No volume data = no signal. If your instrument shows "No Volume" in the dashboard, switch to a data feed that provides it (crypto spot, futures, stocks with real volume).
A note on expectations
I use this logic in my own research and it has shown useful results for me in my backtesting scenarios. But this is an indicator for analysis , not a magic button. Your execution, fees, slippage, and market regime all matter. Treat signals as context, not commands. DYOR.
Feedback welcome.
For educational and analysis purposes only. Not financial advice.
MA ATR RangeExponencial Moving average with 3 ATR ranges. It shows trend and overbought and oversold levels.
Key LevelsThe indicator includes:
• ✅ Daily/Weekly High/Low - update dynamically
• ✅ 4H Equilibrium - updates with new 4H candles
• ✅ Key Levels (4H, 1H, 30M, 15M) - LOCKED IN PLACE with labels
• ✅ London Open/Close - locked at their time of formation
• ✅ Info table - fixed in top right corner
EMA Trend by EVEMA Trend Toolkit is a beginner-friendly moving average suite built to simplify trend reading and basic trade confirmation. It plots a fast, mid, slow, and base EMA (all configurable) and highlights bullish or bearish conditions using optional EMA alignment and a base-trend filter. You can enable clean, easy-to-read signals for price crossing the base EMA, alignment flips when the trend structure changes, and optional pullback confirmations around the mid EMA. The script also includes optional candle coloring and background shading to make trend direction obvious at a glance, plus ready-to-use alerts for every signal type.
SMA Dow-Flow MTF (SAXO Logical Alert)This script is an advanced MTF (multi-timeframe) monitor that combines the concepts of Dow Theory and SMA (Single Moving Average) to capture the moment when trends align across multiple timeframes. It is particularly focused on visualizing when lower timeframes synchronize with the direction of higher timeframes, without being distracted by short-term noise. 1. Trend Determination Mechanism (Core Logic): Rather than the usual simple determination of whether a price is above or below a moving average, this is based on updates of "low lows and highs." Pivot Detection: Points where the SMA moves in a "V" or "inverted V" shape are recorded as reversal candidates ($lastH$, $lastL$). Trend Reversal Conditions: Uptrend: When the price clearly breaks above the most recent SMA high ($lastH$). Downtrend: When the price clearly breaks below the most recent SMA low ($lastL$). 2. Indicator Features ① Sync Hierarchy: This script counts the degree to which the direction of each time period matches that of the higher time period, starting from the lower time period. The 5-minute time period forms a trend. The 15-minute time period follows the same direction as the 5-minute time period. The 1-hour time period follows the same direction as the 15-minute time period... (continues up to the daily time period). This ensures that an alert is sent out when the larger trend (daily or 4-hourly) swallows up the smaller trend (5-minute or 15-minute). ② Set Selection: You can switch between the "Yen Set (AUDJPY, EURJPY, etc.)" and the "Dollar Set (EURUSD, GBPUSD, etc.)." This allows you to grasp the strength or weakness of a specific currency (e.g., a weak yen or a strong dollar) at a glance.
This script's alert function does not simply sound when the trends match, but is designed to pinpoint the moment when the number of trend synchronizations increases (i.e., when momentum increases).
Below, we will explain in detail how it works and the meaning of the notifications.
1. Alert Conditions
An alert will only be triggered when all three of the following conditions are met.
Increase in Sync Count: For example, if only two time frames, the 5-minute and 15-minute ones, were aligned (Sync: 2), and the 1-hour one also aligns in the same direction (Sync: 3), the alert will be triggered.
Above the set minimum count (alert_min): The default setting is "3." In this case, a notification will be triggered the moment three, four, or five time frames are synchronized.
Selected Set Only: If the "Yen Set" is displayed, an alert will not be triggered even if a currency pair in the Dollar Set is synchronized.
2. How to Read the Alert Message
When you receive a notification, the following message will be displayed.
USDJPY: 4-Bar Synchronization (Upward)
USDJPY: A Currency Pair Gaining Momentum
4-Bar Synchronization: Indicates that the direction of the four timeframes (5-minute, 15-minute, 1-hour, and 4-hour) is consistent, starting with the lowest timeframe.
Upward/Downward: The direction of the synchronization.
このスクリプトは、「ダウ理論」と「移動平均線(SMA)」の考え方を組み合わせ、複数の時間足でトレンドが揃った瞬間を捉えるための高度なMTF(マルチタイムフレーム)モニターです。特に、短期的なノイズに惑わされず、上位足の方向に下位足が同期したタイミングを視覚化することに特化しています。1. トレンド判断の仕組み(コアロジック)通常の「移動平均線より上か下か」という単純な判定ではなく、「押し安値・戻り高値」の更新をベースにしています。ピボットの検知: SMAが「V字」または「逆V字」に動いた地点を、反転の候補($lastH$, $lastL$)として記録します。トレンド転換の条件:上昇トレンド: 価格が直近のSMA高値($lastH$)を明確に上抜けたとき。下落トレンド: 価格が直近のSMA安値($lastL$)を明確に下抜けたとき。2. インジケーターの特徴① 同期(Sync)の階層構造このスクリプトは、下位足から順に「どれだけ上位足と方向が一致しているか」をカウントします。5分足がトレンドを形成。15分足が5分足と同じ方向。1時間足が15分足と同じ方向……(日足まで続く)これにより、「大きな流れ(日足・4時間足)に、小さな流れ(5分・15分)が飲み込まれた瞬間」を逃さずアラート通知します。② セット選択機能「円セット(AUDJPY, EURJPYなど)」と「ドルセット(EURUSD, GBPUSDなど)」を切り替えて表示できます。これにより、特定の通貨の強弱(円安・ドル高など)を一目で把握できるのが強みです。
このスクリプトのアラート機能は、単に「トレンドが一致した」ときに鳴るのではなく、**「トレンドの同期数が増加した瞬間(=勢いが増した瞬間)」**をピンポイントで通知するように設計されています。
以下に、その仕組みと通知内容の意味を詳しく解説します。
1. アラートが発生する条件
アラートは、以下の3つの条件がすべて揃った時にのみ発信されます。
同期数(Sync Count)の増加: 例えば、それまで「5分足と15分足」の2つしか揃っていなかった(Sync: 2)のが、新しく「1時間足」も同じ方向に揃った(Sync: 3)という変化の瞬間に鳴ります。
設定した最小数以上 (alert_min): 初期設定では「3」になっています。この場合、3つ、4つ、または5つの時間足が同期した瞬間に通知が飛びます。
選択中のセットのみ: 「円セット」を表示している時は、ドルセットの通貨ペアが同期してもアラートは鳴りません。
2. アラートメッセージの読み方
通知が来ると、以下のようなメッセージが表示されます。
USDJPY: 4足同期 (上昇)
USDJPY: 勢いが出た通貨ペア
4足同期: 下位足から順に「5分・15分・1時間・4時間」の4つの時間足で方向が一致したことを示します。
上昇 / 下落: その同期している方向です。
Neeson Trend Price Oscillator Pulse EditionNeeson Trend Price Oscillator Pulse Edition: A Comprehensive Market Cycle Analysis Tool
Overview and Purpose
The Trend Price Oscillator Pulse Edition is a sophisticated technical analysis indicator designed to identify major market cycle tops and bottoms. This tool operates as a standalone oscillator in a subchart, providing clear visual signals of overbought and oversold conditions within the context of long-term market cycles. Developed for position traders and long-term investors, it focuses on capturing significant market turning points rather than short-term fluctuations.
Integration Rationale and Component Synergy
The indicator integrates three core analytical concepts into a cohesive system:
Detrended Price Oscillator (DPO) Foundation: Traditional DPO methodology isolates cyclical price movements by removing the underlying trend component. This creates a clearer view of oscillatory behavior without the distortion of long-term directional bias.
Normalization Framework: By converting raw DPO values to a standardized 0-100 scale, the indicator establishes consistent reference points for market extremes across different instruments and timeframes. This normalization enables meaningful comparison of oscillator readings regardless of absolute price levels.
Dynamic Threshold System: The implementation of adjustable threshold levels (default: 95% for overbought, 5% for oversold) creates adaptive boundaries that respond to changing market volatility and cycle characteristics.
These components work synergistically: The DPO extracts cyclical information from price action, the normalization process standardizes this information for consistent interpretation, and the threshold system provides actionable decision points based on historical extremes.
Operational Mechanism
The indicator calculates a detrended price value by comparing current price against a displaced moving average. This detrended value is then normalized against its historical range over a specified lookback period, transforming it into a percentage-based oscillator. A smoothing filter is applied to reduce noise and highlight significant movements.
The oscillator's movement through threshold zones generates four distinct market signals:
Entry into overbought territory (crossing above 95%)
Exit from overbought territory (crossing below 95%)
Entry into oversold territory (crossing below 5%)
Exit from oversold territory (crossing above 5%)
Each signal corresponds to a specific market condition hypothesis regarding institutional versus retail trader dynamics in major market cycles.
Practical Application Guidelines
Primary Use Cases:
Identification of potential major cycle turning points on weekly and monthly timeframes
Confirmation tool for existing trading strategies requiring cycle analysis
Risk management through recognition of extreme market conditions
Interpretation Framework:
Overbought Conditions (Oscillator ≥ 95%): Suggest potential selling pressure from major market participants. Consider reducing long exposure or implementing protective measures.
Oversold Conditions (Oscillator ≤ 5%): Indicate potential accumulation zones by institutional buyers. Consider establishing or adding to long positions using dollar-cost averaging strategies.
Threshold Crossings: Monitor for exits from extreme zones as potential confirmation that a cycle peak or trough may have formed.
Parameter Considerations:
Default parameters (548-period oscillator, 274-period offset, 1096-period lookback) are optimized for identifying major market cycles. Users may adjust these values for different market conditions or timeframes, though significant parameter changes will alter the indicator's sensitivity and signal frequency.
Originality and Distinctive Features
This implementation incorporates several innovative aspects:
Extended Cycle Focus: Unlike most oscillators designed for shorter timeframes, this tool employs exceptionally long calculation periods specifically for identifying primary market cycles.
Dynamic Normalization: The lookback-based normalization adapts to changing market conditions without requiring manual recalibration.
Multi-Signal Alert System: Four distinct alert conditions provide nuanced information about market state transitions rather than simple binary signals.
Integrated Risk Context: Each signal includes contextual information about potential market participant behavior, encouraging disciplined risk management.
Empirical Considerations and Limitations
The indicator provides probabilistic assessments based on historical price behavior, not predictive certainties. Market conditions may change, rendering historical patterns less reliable. Users should consider:
The indicator performs best in trending or cyclical markets; it may generate false signals during extended range-bound periods.
No technical indicator, including this one, can guarantee future market movements.
Proper position sizing and risk management should accompany all trading decisions, regardless of indicator signals.
Expected User Outcomes
When used as part of a comprehensive trading plan, this indicator can help users:
Identify potential reversal zones in major market cycles
Develop patience by focusing on significant rather than frequent trading opportunities
Maintain objective perspective during market extremes through quantitative assessment
Coordinate entry and exit timing with cycle analysis
The Trend Price Oscillator Pulse Edition represents a specialized tool for traders seeking to align their strategies with major market cycles through systematic analysis of price oscillation behavior relative to long-term trends.
EMA Touch & Price Action (Perfect Match)Indicator Name: EMA Touch & Price Action (Perfect Match)
【Overview】
This indicator is designed for traders who rely on precision and clarity. It automatically detects touches on up to four Exponential Moving Averages (EMAs) and identifies high-probability reversal patterns: the Engulfing (Outside Bar) and the Pin Bar.
The core strength of this script is the "Perfect Match" logic. Unlike many other tools that suffer from signal lag or "repainting" (where signals appear or disappear after the bar closes), this indicator ensures that the signals align perfectly with the price action on the chart. By focusing on confirmed price data, it provides a reliable foundation for real-time decision-making.
【Key Features】
Quad-EMA Touch Detection:
Displays four customizable EMAs (Default: 10, 20, 40, 80).
When a candle's wick or body touches an EMA, a color-coded dot (●) appears below/above the bar, instantly showing which level is being tested.
Advanced Engulfing Logic ("包"):
Goes beyond simple size comparison. It requires a color reversal (e.g., a green bar following a red bar) and a breakout of the previous candle’s high/low to confirm strong momentum shift.
Refined Pin Bar Detection ("Pin"):
Filters out "fake" pins by calculating the ratio between the wick and the body. You can adjust the sensitivity (Wick Ratio) in the settings to match your specific market (Forex, Crypto, or Stocks).
Zero-Offset, Confirmed Signals:
Signals are displayed directly on the current bar. By using the "Once Per Bar Close" alert setting, you ensure that you only trade on fully completed price action patterns.
【Settings (Parameters)】
EMA 1–4 Length: Customize the periods for your moving averages.
Pin Bar Wick Ratio: Adjust how long the wick must be relative to the body (Default is 2.0x).
【How to Trade】
Trend Following (Pullbacks): The highest win rates occur when the market is trending. Look for a "Combo" where price pulls back to a medium-to-long-term EMA (EMA 20 or 40), touches it, and prints an Engulfing or Pin Bar signal in the direction of the trend.
Confluence: When multiple EMA dots appear on the same bar as a "包" or "Pin" label, it indicates a significant zone of support or resistance.
Daily Levels & MAs on intraday timeframeDaily Levels & MAs - Professional Key Level Tracker
📊 OVERVIEW
A comprehensive indicator that displays critical daily moving averages and key price levels all in one clean view. Perfect for traders who need to see support/resistance zones and trend indicators without cluttering their charts.
🎯 WHAT IT SHOWS
Seven essential reference levels:
- 50 SMA (Daily Simple Moving Average) - Yellow
- 21 EMA (Daily Exponential Moving Average) - Red
- 9 EMA (Daily Exponential Moving Average) - White
- Prior Day High (PDH) - Green
- Prior Day Low (PDL) - Purple/Magenta
- Premarket High (PM High) - Purple
- Premarket Low (PM Low) - Orange
✨ KEY FEATURES
✓ All lines extend to the right with clear price labels
✓ Daily moving averages calculated from daily timeframe data
✓ Prior Day High/Low tracks ONLY regular trading hours (9:30 AM - 4:00 PM)
✓ Premarket levels capture 4:00 AM - 9:30 AM price action
✓ Dotted line style keeps chart clean and readable
✓ Semi-transparent labels don't obstruct price action
✓ Works on ALL intraday timeframes
✓ Auto-updates throughout the day
🔧 TECHNICAL SPECIFICATIONS
- Lines start from beginning of current trading session
- Labels positioned 10 bars to the right of current price
- Max lines: 500 (efficient performance)
- No repainting - uses confirmed historical data
- Premarket lines remain visible during regular hours
📈 IDEAL FOR
- Day traders tracking intraday support/resistance
- Swing traders monitoring key daily trend levels
- Gap traders who need premarket reference points
- Breakout traders watching PDH/PDL violations
- Trend followers using EMA crossovers
💡 HOW TO USE
**Moving Averages:**
- 50 SMA: Long-term trend direction
- 21 EMA: Medium-term momentum
- 9 EMA: Short-term trend and quick reversals
**Price Levels:**
- PDH/PDL: Yesterday's trading range boundaries
- PM High/Low: Today's premarket extremes
- Watch for breaks above/below these levels for potential momentum
🎨 COLOR CODING
- Yellow: 50 SMA (major trend)
- Red: 21 EMA (medium trend)
- White: 9 EMA (fast trend)
- Green: Prior Day High
- Purple/Magenta: Prior Day Low
- Purple: Premarket High
- Orange: Premarket Low
⚙️ SMART FEATURES
- Prior Day calculations exclude premarket/afterhours noise
- Premarket levels reset daily at 4:00 AM
- All levels visible simultaneously without overlap confusion
- Labels show exact price values for precision entries/exits
- Lines automatically adjust length as trading day progresses
📊 TRADING STRATEGIES
**Breakout Trading:**
- Long above PDH with volume confirmation
- Short below PDL with momentum
**Mean Reversion:**
- Fade extremes back to moving averages
- Look for price rejections at PM High/Low
**Trend Following:**
- Buy pullbacks to 9 EMA in uptrends (price above 21/50)
- Sell rallies to 9 EMA in downtrends (price below 21/50)
**Gap Trading:**
- Compare open to PDH/PDL
- Use PM levels to gauge early sentiment
🔒 NO CONFIGURATION NEEDED
Simply add to your chart and start trading! The indicator automatically:
1. Calculates daily moving averages from higher timeframe
2. Tracks prior day regular hours high/low
3. Monitors current premarket session extremes
4. Displays everything with clear labels and prices
Perfect for professional traders who want institutional-grade levels without the complexity!
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