Multi-Timeframe Close and Midpoint ConfluenceMulti-Timeframe Close Monitoring and Price Midpoint Confluence Indicator
This indicator is designed to assist traders in monitoring multiple timeframe candle closes and identifying areas where price midpoints (50% levels) from different timeframes cluster together.
The tool focuses on timing awareness and structural context, helping users observe periods where multiple timeframe events occur close together, which may coincide with increased market activity.
What the Indicator Tracks
The indicator monitors candle close timing and price context across multiple timeframes, including:
Intraday timeframe closes (30m, 1h, 2h, 3h, 4h, 6h, 8h)
Higher-timeframe closes (Daily, Weekly, Monthly) when within a defined scan window
The midpoint (50%) of the previous candle for each tracked timeframe
The distance between current price and each midpoint level
This information is evaluated independently for each timeframe.
Timeframe Close Confluence
When multiple timeframes are approaching a candle close within a short window, the indicator highlights this period visually.
These moments can be useful for observing potential shifts in activity or volatility, particularly when combined with other forms of analysis.
Visual markers and optional alerts are used to draw attention to these timing clusters.
Midpoint (50%) Level Clustering
The indicator also evaluates whether multiple 50% levels from different timeframes are located within a user-defined proximity.
When several midpoints cluster closely together, the area is highlighted as a zone of interest for further observation, as overlapping price references may act as areas of interaction.
Countdown & Information Panel
An optional on-chart panel displays:
A live countdown to upcoming timeframe closes
Relative urgency based on proximity to each close
Whether current price is above or below each midpoint
Distance metrics to help gauge proximity
Color coding is used to improve readability rather than indicate trade direction.
Visual Context Tools
Additional visual options include:
Background shading when multiple timing or midpoint conditions overlap
Adjustable thresholds to control sensitivity
Customizable colors, opacity, and panel placement
These visuals are intended to provide contextual awareness, not trade signals.
Intended Use
Style: Multi-timeframe analysis and timing awareness
Markets: Forex, crypto, equities, futures
Purpose:
Monitor upcoming timeframe closes
Observe overlapping price reference zones
Improve preparation around potential activity windows
The indicator is best used as a supplementary tool alongside independent analysis.
Important Notes
This script is provided for educational and analytical purposes only.
It does not predict market outcomes and should not be used as a standalone decision-making tool. Users are encouraged to apply appropriate risk controls and confirm observations with additional analysis.
อินดิเคเตอร์และกลยุทธ์
Elliott Wave Scalper by xitaxuta🚀 Elliott Wave Continuation Strategy (Rule-Based)
This is a rule-driven Elliott Wave continuation strategy designed to capture high-momentum Wave-3 moves after a confirmed impulse and corrective structure.
Rather than relying on subjective wave counting, this strategy converts classic Elliott Wave concepts into objective, testable rules using market structure, swing pivots, Fibonacci behavior, and momentum confirmation.
🔍 What makes it different
Translates Elliott Wave theory into clear, repeatable logic
Focuses on continuation setups, not prediction
Designed for lower timeframes while filtering market noise
Built with risk invalidation at the structural level, not arbitrary stops
📈 Core Philosophy
Markets move in waves — but not every wave is tradable.
This strategy waits for:
A valid impulsive move
A controlled corrective phase
Clear confirmation that price is transitioning back into expansion
Only then does it allow entries — aiming to align with the strongest phase of the trend, where momentum and structure agree.
🧠 Built for Serious Testing
Fully rule-based for consistent backtesting
Highly configurable inputs with clear explanations
Designed to help traders study behavior, timing, and risk efficiency
Works across markets and sessions
⚠️ Important Notes
This is not a signal service
Best used as a framework for testing and refinement
Results depend on market conditions, timeframe, and risk settings
Proper risk management is essential
Bollinger Reversal + Swing ExitBollinger Reversal + Swing Exit is a mean-reversion strategy designed to capture short-term reversals when price stretches to an extreme and then shows the first signs of rejection.
1. Core idea
This strategy assumes that sharp deviations from a central equilibrium are often followed by a corrective move back toward normal pricing. It does not chase trends. Instead, it waits for price to reach an extreme area and then looks for a controlled turn back in the opposite direction.
2. Signal concept
A setup starts only after price reaches an outer extreme zone. The trade is taken only if the market immediately shows a reversal-type reaction rather than continuing to push outward. This reduces entries that happen too early while the move is still accelerating.
3. Long and short behavior
Long trades are allowed only after a downside extreme has been reached and price begins to recover.
Short trades are allowed only after an upside extreme has been reached and price begins to fade.
The goal is to enter close enough to the extreme to keep risk contained, while still requiring evidence that the turn has started.
4. Risk control
Risk is defined tightly. The protective stop is placed where the reversal thesis is clearly invalidated, so the strategy is built to accept small losses when the market does not revert and continues expanding in the same direction.
5. Exit logic
Profits are taken based on local market structure rather than fixed targets. Once in a position, the strategy looks for a clear exhaustion point in the move and closes the trade when the short-term swing structure signals that the rebound or pullback has likely completed. This aims to capture the core of the corrective move without overstaying.
6. Best conditions
This approach performs best in range-bound markets, during consolidations, and in instruments that frequently oscillate around a fair value. It is also useful after impulsive spikes when the move becomes overstretched and liquidity rebalances.
7. When to avoid
Avoid using it during strong, clean trends and during persistent breakout phases, where extremes can keep extending and reversals can fail repeatedly. In these conditions, mean-reversion setups can be systematically punished.
8. What to expect
Expect a higher trade frequency than trend-following systems, with many small-to-medium wins and occasional sharp losses when the market refuses to revert. The edge comes from disciplined entries only after extremes and quick exits when structure signals completion.
Weekly Bullish Engulfing ScreenerThis is a weekly Bullish engulfing screener to find the stocks ready to breakout
Candle Strength + Trend Analyzer by The Ultimate Bull RunCandle Strength + Trend Analyzer:
The Composite Trend Score (-100 to +100)
The trend score aggregates 6 independent data-driven components, each measuring a different aspect of market behavior:
Trend Score = Σ (Component_i × Weight_i)
Score Range Classification
+70 to +100 🚀 EXTREMELY BULLISH
+40 to +70 📈 BULLISH
-40 to +40 ➖ NEUTRAL
-70 to -40 📉 BEARISH
-100 to -70 💥 EXTREMELY BEARISH
MM_DashboardThis is a panel for observing and judging the structural relationship between POC and VWAP.
Jim Kombein Ph.D. Core Engine (Invite-Only)This invite-only script is a research-oriented framework for analyzing market structure and price dynamics.
It is intended solely for educational and informational use.
No trading advice, buy/sell recommendations, or profit guarantees are provided.
All decisions and associated risks remain the sole responsibility of the user.
Turtle Multi-Market StrategyTurtle Multi-Market Strategy is a breakout trend-following approach designed to stay aligned with the dominant market direction and participate only when price proves it has enough strength to escape consolidation.
1. Core idea
This strategy treats trends as permission and breakouts as proof.
The market must already show a clear directional bias before any trade is considered. Only when price is consistently positioned on the correct side of the dominant direction does the strategy become active. This avoids engagement during random price movement and low-quality conditions.
2. Entry logic
Trades are initiated only when price demonstrates expansion beyond a well-defined recent range, signaling that the market may be transitioning from consolidation to directional movement.
An optional confirmation behavior can be used to avoid reacting to isolated spikes. In this case, the strategy waits for additional price acceptance beyond the breakout area before committing, favoring reliability over immediacy.
3. Trend quality filter
The strategy can optionally require evidence of genuine trend strength before allowing entries. When this filter is active, breakouts occurring in weak or indecisive environments are ignored. This helps reduce exposure during sideways markets where breakouts are more likely to fail.
4. Risk and position sizing
Risk is handled dynamically. Trade size adapts to current market volatility so that risk remains proportional across different instruments and volatility regimes. This makes the strategy suitable for use on crypto, commodities, indices, and forex without manual recalibration for each market.
5. Exit and trade management
Exits are protective and progressive.
A protective stop defines the initial risk and then adjusts as price moves favorably. As the trend develops, the stop follows price action, aiming to lock in gains while still allowing room for natural pullbacks.
An additional safety mechanism can be enabled to exit if the market decisively re-enters the long-term equilibrium zone. This reduces exposure during sharp reversals but may also shorten otherwise valid trends.
6. How to use it
This strategy is best applied to liquid markets where sustained trends can emerge and where breakouts carry informational value, such as major crypto pairs, gold, indices, and liquid forex pairs.
It performs best during transitions from consolidation to expansion and during trending phases. It is not designed for mean-reverting or range-bound environments.
7. Practical workflow
Apply it on higher intraday or swing-oriented timeframes.
Keep the trend strength filter enabled in mixed or uncertain market conditions.
Use confirmation on instruments prone to false breakouts or during news-sensitive sessions.
If price repeatedly fails to sustain movement and returns to equilibrium, standing aside is part of correct execution.
8. What to expect
Expect fewer trades rather than constant activity. Many positions will end with small controlled losses, while profitable trades tend to come from sustained directional moves. The edge lies in participation during expansion phases, not in high win rates or frequent signals.
diy OKX:BTCUSDT26Z2025
diyBuy-sell signal
Visual display of indicators simplification
买卖信号显示
直观显示指标简化
Main line in K-line trend indicator
Main line in K-line trend indicator
The chart must be pinned. Otherwise, the chart coloring cannot be seen.
主线在k线染色趋势指标
图表必须置顶。不然看不到图表染色
JokerStyle 🤡 Joker Style Indicator
Welcome to Joker Style — where the market stops acting normal… and starts telling the truth.
This indicator is built for one purpose:
finding clean, repeatable opportunities when liquidity gets trapped and panic kicks in.
No clutter.
No guessing.
No overthinking.
Just one timeframe, one time of day, and clear rules.
⸻
🕘 How to Use It
• Timeframe: 1 minute
• Time: 9:45 AM (New York time)
• Track the first 15-minute range
• Let the market sweep liquidity
• When the 🤡 appears — that’s your signal
BUY and SL levels are drawn automatically.
You manage risk — the indicator handles structure.
⸻
💰 Opportunities & Risk
• Opportunities appear almost every trading day
• Some days you’ll see multiple setups
• Minimum target: 4:1 Risk–Reward
• 8:1 RR is realistic and often achievable when momentum expands
This isn’t about tiny scalps.
It’s about catching the real move.
⸻
🤡 What Makes It Different
• Combines liquidity sweeps, precision entries, and fair value gaps
• Bullish and bearish logic never fight each other
• One active setup at a time — clean, focused, intentional
• Built specifically for high-volatility open conditions
EMA Trend Following Strategy🎯 EMA TREND FOLLOWING STRATEGY
A simple yet powerful trend-following strategy designed for 1-hour timeframes across multiple markets including cryptocurrencies, commodities, indices, and forex pairs.
📊 STRATEGY LOGIC
This strategy is based on the classic moving average crossover technique, one of the most reliable trend-following methods in technical analysis:
- LONG ENTRIES: When the fast EMA crosses above the slow EMA, indicating the beginning of an uptrend
- SHORT ENTRIES: When the fast EMA crosses below the slow EMA, indicating the beginning of a downtrend
- EXITS: Positions are closed when the opposite crossover occurs, capturing the trend reversal
🛡️ RISK MANAGEMENT
The strategy includes professional risk management features:
- Dynamic stop-loss based on market volatility
- Automatic position sizing to risk only a fixed percentage per trade
- Optional take-profit levels for securing gains
- Customizable risk parameters to fit your trading style
⚙️ RECOMMENDED SETTINGS
- Timeframe: 1 Hour (H1)
- Fast EMA: 20 periods
- Slow EMA: 50 periods
- Risk per trade: 1-2% of capital
- Stop-loss: 2x ATR (Average True Range)
💡 BEST USE CASES
This strategy works particularly well on:
✅ BTC/USD and major cryptocurrencies
✅ GOLD and precious metals
✅ S&P 500, NASDAQ, and major indices
✅ EUR/USD, GBP/USD and major forex pairs
⚠️ IMPORTANT NOTES
- Always backtest on your specific market before live trading
- Past performance does not guarantee future results
- Use appropriate position sizing and never risk more than you can afford to lose
- This strategy works best in trending markets
📈 Perfect for swing traders and those looking for a systematic approach to capture market trends!
Automatic chart pattern recognition, channel, wedge, triangle. OKX:BTCUSDT26Z2025
Automatic chart pattern recognition, channel, wedge, triangle.
自动图表形态识别,通道、楔形、三角形
MFVB - Macro-Filtered Volatility Breakout策略核心與原創性: 山寨幣 (Altcoins) 的走勢與比特幣高度相關,單純的技術突破往往會因為大盤下跌而變成假動作。 MFVB (宏觀濾網波動突破策略) 並非一般的技術指標,而是一套由**「跨資產同步演算引擎」**驅動的趨勢系統。本策略內建了硬編碼的邏輯,會自動抓取並分析比特幣 (BINANCE:BTCUSDT) 的即時趨勢數據。透過這種獨特的跨市場分析,系統能確保僅在宏觀環境有利時才執行小幣的突破交易。
主要功能與邏輯:
宏觀守門機制 (Macro Gating): 程式會在背景處理外部的 BTC 趨勢數據 (EMA 200)。這是一個強制性的市場狀態濾網:如果比特幣處於空頭趨勢,即使小幣出現技術面突破,系統也會強制過濾訊號,避免逆勢操作。
波動率突破: 使用經過參數調教的肯特納通道 (Keltner Channels) 來偵測動能爆發。只有在價格突破上軌且通過宏觀濾網檢測時,才會觸發進場。
動態風控: 內建 ATR 動態追蹤止損演算法(圖表上的紅線),會隨著價格波動自動調整以鎖定獲利;若價格跌回通道中線則視為趨勢破壞,立即離場。
用法:
適用標的: 各類具備趨勢性的山寨幣 (如 SOL, ETH, MNT, DOGE 等)。
圖表說明: 藍線為通道範圍,紅線為追蹤止損點。
Concept & Originality: Trading Altcoins is risky because the crypto market is highly correlated with Bitcoin. Standard technical breakouts often fail ("fakeouts") when the broader market is bearish. MFVB is not a standard indicator but a specialized trend system driven by a proprietary Cross-Asset Synchronization Engine. It automatically fetches and analyzes Bitcoin's real-time trend data (BINANCE:BTCUSDT) to filter signals on Altcoins. This hard-coded inter-market logic ensures that trades are only taken when the macro environment is favorable.
Key Features & Logic:
Macro Gating Mechanism (The Gatekeeper): The script processes external BTC trend data (EMA 200) in the background. It applies a Market Regime Filter that forbids long positions on Altcoins if Bitcoin is in a downtrend. This logic is hard-coded to prevent trading against the tide.
Volatility Breakout: Utilizes tuned Keltner Channels to identify genuine volatility expansions. A signal is triggered only when the price breaches the Upper Band AND the Macro Filter is confirmed bullish.
Dynamic Risk Management: Features a built-in ATR-based trailing stop (visualized as the Red Line) which automatically adjusts to volatility to lock in profits, alongside a trend-invalidation exit at the channel median.
Usage:
Target Assets: Any trending Altcoins (e.g., SOL, ETH, MNT, DOGE, etc.).
Visuals:
Blue Lines: Volatility Channel.
Red Line: Dynamic Trailing Stop.
Quant_DCA**Quant_DCA - Smart Dollar-Cost Averaging with Dynamic Position Sizing**
Designed for SPY,QQQ,BTC
Transform your DCA strategy with intelligent dip-buying. Instead of buying a fixed amount every week, Quant_DCA identifies quality dips and scales position sizes dynamically - buying more during significant corrections.
**✨ KEY FEATURES**
• 4% Minimum Threshold - Quality dips only, eliminates noise
• Volume Confirmation - Requires 2x average volume spike
• Volatility Confirmation - ATR and StdDev elevation required
• 9-Tier Multiplier System - 1x to 20x based on dip severity
• Conservative Risk - Max 20x multiplier, not extreme
• Capital Efficient - Deploys ~60% of DCA capital, not 2-3x more
• Real-Time Comparison - See DCA vs Quant performance live
• Color-Coded Signals - Visual strength indicators
• Smart Alerts - Detailed execution instructions
**💰 POSITION SIZING**
4% dip → 1.0x
7.5% dip → 2.0x
10% dip → 2.8x
17% dip → 5.5x
28% dip → 10.5x
35% dip → 15.0x
Max → 20.0x
**📈 EXPECTED RESULTS (Realistic)**
Based on QQQ 4H, 2022-2024 backtest:
✅ +10-20% share advantage vs DCA
✅ 15-20% better average cost
✅ ~60% capital deployment (similar to DCA)
✅ 30-45 quality signals per year
✅ +15-30% ROI advantage over 5-10 years
**💡 CAPITAL REQUIREMENTS**
**⚙️ QUICK START**
1. Add to QQQ 4H chart (optimized timeframe)
2. Keep default settings (pre-optimized)
3. Backtest from 2022-01-01 to present
4. Verify 10-20% share advantage shown
5. Create alerts for buy signals
6. Start with 50% position size
7. Execute ALL signals for 3 months
8. Scale to 100% after confidence built
**🎯 WHO IS THIS FOR**
✅ Long-term investors (5+ year horizon)
✅ Accounts $25k+ (preferably $50k+)
✅ Those wanting better DCA results
✅ Disciplined traders who execute all signals
✅ Comfortable buying during crashes
✅ SPY/QQQ/GLD/BTC or any Index that always goes up over the long period of time
❌ NOT for: Day traders
**⚠️ IMPORTANT DISCLAIMERS**
• works best in volatile conditions
• Requires 75%+ signal execution to achieve results
• Need liquid reserves (5x max buy) ready at all times
• Some years will lag DCA (wins over full market cycles)
• Past performance does not guarantee future results
• This is NOT financial advice - educational purposes only
• Always do your own research and consult a financial advisor
**🔧 SETTINGS**
Pre-optimized for QQQ 4H timeframe. All settings are customizable:
Dip Detection:
• Min Dip: 4.0% (adjustable 1-10%)
• Lookback: 10 bars
• Fast EMA: 20 / Slow EMA: 50
• Volume: 2.0x threshold
• Volatility: 1.5x threshold
Multipliers:
• 9 customizable tiers
• Conservative 1-20x range
• Exponential scaling
Strategy:
• Base: $1,000 (match your DCA)
• DCA Frequency: Weekly
• Start Date: Any backtest period
**📊 RESULTS TABLE**
Real-time metrics displayed:
• Portfolio values (DCA vs Quant)
• ROI percentages
• Capital deployed (with ratio)
• Share counts (with advantage %)
• Average cost per share
• Buy frequency and averages
• Winner declaration
**💡 PRO TIPS**
1. Execute within 1 hour of signal
2. Keep 5x max buy in liquid reserves
3. Don't skip signals - even small dips matter
4. Track actual vs backtest monthly
5. Think long-term (5-10 years)
6. Accept that some years lag DCA
7. Start conservative (50% size)
8. Build to 100% over time
**🎓 WHY THIS WORKS**
Academic research shows buying dips beats random timing over long periods:
• Price advantage from buying declines
• Psychological edge (buy fear)
• Mean reversion tendency
• Volume spikes mark capitulation
• Volatility premium rewards patience
Quant_DCA systematizes this with objective rules, quality filters, and conservative position sizing.
**📝 VERSION INFO**
Version: 1.0 - Balanced Edition
License: Mozilla Public License 2.0
Author: Sahebson
Optimized For: QQQ 4H timeframe
**💬 FEEDBACK WELCOME**
Share your backtest results or real-world performance in the comments! Questions? Ask below.
Like this indicator? Give it a boost! 👍
Have suggestions? Comment! 💬
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*Disclaimer: This indicator is for educational purposes only and does not constitute financial advice. Trading involves risk of loss. Past performance does not guarantee future results. Always do your own research and consult with a qualified financial advisor before making investment decisions. The author is not responsible for any trading losses incurred using this indicator.*
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**Tags:** #DCA #SmartInvesting #DipBuying #QQQ #LongTerm #PositionSizing #RiskManagement #TradingStrategy
PDH Levels - (Asia / NY Sessions)PDH Levels is a clean, session-based indicator designed for intraday traders.
It automatically plots:
• Previous Day High (PDH) & Previous Day Low (PDL)
• Asia Session High & Low (00:00 – 08:00 Europe/Berlin)
• Asia Session Open (06:00 Europe/Berlin)
• New York Open (15:30 Europe/Berlin)
All levels are drawn as extended rays and update automatically each trading day.
Only the current trading day is displayed, making the indicator fully compatible with Bar Replay and backtesting.
Bar Replay:
Levels are initialized on the active trading day. When starting Bar Replay, move forward one bar to load the current session data.
The script uses a stable 1-minute data source and Europe/Berlin timezone for precise session handling.
Ideal for:
• Futures (NQ, ES, DAX)
• Indices & CFDs
• Intraday & session-based trading
No repainting. No clutter. Designed for clarity and execution.
My Trend line트렌드라인에 알람을 부여함으로서 한층 더 유용한 인디게이터가 되게하기위함
To make it more useful by giving an alarm to the trend line
Volume package OKX:BTCUSDT26Z2025
Volumn heat map, can clearly see more than 1.5 times 2.5 or 3.5. The parameters can be changed by yourself Chinese version. Color customization. Added moving average filtering. When the volume is greater than 1.5 times, an alarm can be set. Explain that the volume is large
成交量热图,能明显看到大于1.5倍数2.5或者3.5。参数可以自行改。中文版本。颜色自定义。加了均线过滤。当成交量大于1.5倍时,可以警报。说明成交量大
ICT all in oneSessions, PDH, PDL, High Time Frame Candles and Inversion Fair Value gap detector.
This indicator helps detect FVG's on the higher time frame for you to mark with the HTF candles.
Helps see Session sweeps, Small SMT's, Previous day high and low and one Inversion closes to price on the current time frame for possible entry.
Delta Divergence Alarm - XWiseTradeDetect hidden buying/selling pressure with real-time delta divergence alerts.
This indicator aggregates lower timeframe volume to calculate delta and triggers alerts when:
• Price makes a lower low/higher high but delta shows opposite pressure (hidden divergence)
Features:
• Supports ultra-low timeframes (1s, 15s, 1-15min)
• Visual labels on divergence candles
• Built-in alerts
• Debug mode for data issues
Perfect for spotting absorption, exhaustion, and potential reversals.
XSP 5 DTE Combo: Safe & AggressiveStrategy Document: XSP 5 DTE Trend-Follower
Objective: Systematic capital growth using weekly XSP (Mini-SPX) Options while maintaining a high-interest cash reserve.
1. The Core Philosophy
The strategy is built on three pillars: Directional Trend Following, Volatility Filtering, and Capital Preservation. Unlike "Buy & Hold," this system only risks capital when the market shows clear momentum. By using XSP Options, we gain leveraged exposure with a defined maximum risk (the premium paid).
2. Capital Management (The 70/30 Rule)
70% Safety Reserve: Held in low-risk, interest-bearing instruments (e.g., US Treasury Bills or Money Market Funds). This acts as a collateral base and generates a steady 4–5% yield, offsetting trading costs and providing a psychological "anchor."
30% Active Trading Capital: Used for purchasing XSP Options.
Scaling: Start with 1 contract. Increase position size by 1 contract for every $10,000 of account growth.
3. Execution Rules
Trading Day: Every Thursday.
Entry Time: 15:30 – 16:00 CET (Wall Street Open).
Instrument: XSP Index Options (Standard Delta 50 / At-The-Money).
Expiration: 5 Days to Expiration (DTE) – typically the following Tuesday.
Exit: Hold to expiration (maximum gain) or close manually at +100% ROI.
Technical Script Description: "ATR Pro Trend Combo"
The Pine Script (v6) serves as a binary gatekeeper. It suppresses trades during low-probability environments and highlights entries during high-conviction trends.
Key Indicators & Logic:
Trend Filter (EMA 50): Determines the "Primary Trend." We only buy Calls if the price is above the 50-period EMA, and Puts if it is below. This prevents trading against the institutional flow.
Momentum Switch (SuperTrend): Acts as a trailing volatility-based confirmation. The script requires the SuperTrend to align with the EMA direction (Green for Calls, Red for Puts).
Volatility Threshold (ATR): Filters out "flat" markets. A trade is only signaled if the current Average True Range (ATR) is at least 80–90% of its long-term average. This ensures there is enough "swing" in the market to overcome the Theta (time decay) of the options.
Seasonal Overlay: An automated hard-stop for January and September, months that historically exhibit high randomness and trend reversals.
Multi-Mode Functionality:
Safe Mode: Uses a tighter 2.0 SuperTrend multiplier and 0.9 ATR threshold. Best for accounts under $15,000 to maximize Capital Preservation.
Aggressive Mode: Uses a 2.5 multiplier and 0.8 ATR threshold. Increases trade frequency to accelerate compounding once a capital buffer is established.
How to use this in TradingView:
Copy the latest code provided into the Pine Editor.
Add to Chart and ensure you are on the Daily (1D) or 4-Hour (4H) timeframe for the best signal quality.
Check the Dashboard on the top right for the current Season and Trend status before executing your Thursday trade.
FullerOSOBSQZ v1.1.22FullerOSOBSQZ v1.1.x — OS/OB Levels + Squeeze Anchor + Slope Accel + Alerts
What this script does
Plots Oversold (OS) and Overbought (OB) price levels as horizontal segments (line breaks) that persist for a configurable number of bars.
Tracks two layers of OS/OB logic:
Base triggers (broader detection)
Refined triggers (stricter pattern match layered on top of Base)
Plots a Squeeze anchor level during squeeze “ON” runs and provides squeeze lifecycle alerts (start/release + bull/bear release).
Optionally plots OS/OB start markers (seed points) and slope-acceleration markers for momentum context.
Provides alertconditions for starts, active lines, price interactions, within-N-bar follow-through, squeeze lifecycle, and hold/confirm.
Core Concepts
Mutually inclusive Base + Refined
Refined logic is not a competing system. It is a stricter confirmation layer on top of the Base logic.
You can use Base levels as the “watch” context, and Refined levels as a higher-confidence confirmation (or display both).
Line segments (line breaks)
OS/OB levels are drawn as horizontal segments using line-break style plotting. Each segment represents a “reference level” that remains valid for a limited number of bars after it triggers.
If a new, more extreme OS/OB triggers while a prior one is active, the plot will step to the new level (by design).
How to read the plots
OS Levels (below price)
These are support reference levels. Common reads:
Touch : price trades into the OS line.
Reclaim : close crosses back above the OS line.
Bounce : price dips below OS intrabar but closes above it (same bar).
Hold/Confirm : close stays above OS for N consecutive bars.
OB Levels (above price)
These are resistance reference levels. Common reads:
Touch : price trades into the OB line.
Reject : price trades above/into OB but closes back below it.
Breakout : close crosses above OB.
Hold/Confirm : close stays below OB for N consecutive bars (bear confirmation) or use breakout/hold logic for bull continuation.
Squeeze Anchor
When squeeze is ON, the script anchors a reference line from the first ON bar and holds it for the duration of the continuous squeeze run.
On squeeze release (OFF), you can interpret direction by where price closes relative to the anchor.
Slope Acceleration Markers
These markers highlight momentum inflection behavior derived from the internal regression/slope logic.
If you see fewer markers than another script, it usually means the underlying trend-gate and/or slope parameters differ (not that the feature is “missing”).
Settings — What they do and how changing them affects signals
1) Base Triggers
Controls the Base OS/OB detection layer.
Changing Base thresholds generally affects:
Frequency : looser = more lines; stricter = fewer lines
Quality : stricter = fewer but cleaner levels
Responsiveness : shorter lookbacks = faster reacting, more noise; longer = slower, smoother
2) Base Lines
Controls the Base OS/OB plotted appearance and segmentation length.
Segment length (forward bars): longer = level remains visible/valid longer; shorter = faster turnover and fewer active segments.
Line width : purely visual emphasis (does not change the underlying detection).
3) Refined Triggers
Controls the stricter confirmation layer (Refined OS/OB).
Refined triggers typically reduce false positives but may occur later than Base.
Use Refined when you want: “Only alert me on the higher-confidence pattern.”
4) Refined Colors + Widths
Color and width controls for Refined levels.
Recommended usage:
Keep Base slightly lighter/less prominent.
Make Refined more prominent so confirmations stand out.
5) Trend Context
Trend SMA length (default 62)
Shorter SMA = more sensitive trend context (more “below trend” flips).
Longer SMA = slower trend context (fewer flips, more stability).
Trend mode affects how some context cues render (for example, whether certain momentum markers appear in “below-trend” context).
6) Squeeze
Squeeze ON indicates compression conditions. The script plots a held anchor line during the ON run.
Per-bar render vs static
Per-bar render updates opacity per bar while squeeze is ON (based on your selected strength model).
Static render keeps the anchor appearance constant through the run.
Squeeze opacity model selection
Compression ratio : based on 1 − (BB width / KC width). Higher = tighter squeeze.
Z-score style : normalizes the BB/KC ratio over a lookback and maps extremes to opacity.
Duration boost : increases opacity with consecutive ON bars up to a cap.
Changing squeeze settings affects:
How early/late squeeze turns ON/OFF
How aggressively “tightness” is visually emphasized
How frequently bull/bear release alerts fire
7) Markers
OS/OB Start markers
Shows the first bar where an OS/OB segment begins (Base and/or Refined).
Useful for “N bars after start” logic and for validating what bar started a segment.
Alerts (built-in alertconditions)
Start alerts
OS Start (Any) — Base OR Refined start.
OB Start (Any) — Base OR Refined start.
Active line alerts (true while a line is plotted)
OS Active (Any line)
OB Active (Any line)
Price interaction alerts
OS Touch (Any)
OS Reclaim (Any) — close crosses above OS line
OS Bounce (Any) — low below OS line and close above
OS Breakdown (Any) — close crosses below OS line
OB Touch (Any)
OB Reject (Any) — price probes above/into OB and closes below
OB Breakout (Any) — close crosses above OB line
OB Breakdown (Any)
Within N bars after start alerts
Uses the setting: Within N bars after start (default 5).
OS Reclaim within N bars
OS Bounce within N bars
OS Breakdown within N bars
OB Reject within N bars
OB Breakout within N bars
OB Breakdown within N bars
Hold/Confirm alerts
OS Hold/Confirm (N closes above) — first bar where close stayed above OS for N consecutive bars.
OB Hold/Confirm (N closes below) — first bar where close stayed below OB for N consecutive bars.
SQZ lifecycle alerts
SQZ Start
SQZ Release
SQZ Bull Release — release bar close > SQZ anchor
SQZ Bear Release — release bar close < SQZ anchor
Suggested workflows
Bottom / bounce workflow
Watch: OS Start (Any) or OS Touch (Any)
Confirm: OS Reclaim within N bars + OS Hold/Confirm
Context: SQZ ON and/or SQZ Bull Release to time expansion
Top / rejection workflow
Watch: OB Start (Any) or OB Touch (Any)
Confirm: OB Reject within N bars (or OB Breakdown)
Context: SQZ Bear Release to time expansion lower
Notes
“Active line” alerts will be true on every bar while the line is present. For one-shot alerts, prefer the Start or Within-N-bar alerts.
If you change trend, slope, or squeeze parameters compared to a framework strategy script, you should expect differences in marker density and background behavior. The signal is highly parameter-dependent.
“Oversold/Overbought” levels are currently hardcoded, future version will open up configuration settings.






















