ATR+CCI Monetary Risk Tool - TP/SL⚙️ ATR+CCI Monetary Risk Tool — Volatility-aware TP/SL & Position Sizing
Exact prices (no rounding), ATR-percentile dynamic stops, and risk-budget sizing for consistent execution.
🧠 What this indicator is
A risk-first planning tool. It doesn’t generate orders; it gives you clean, objective levels (Entry, SL, TP) and position size derived from your risk budget. It shows only the latest setup to keep charts readable, and a compact on-chart table summarizing the numbers you actually act on.
✨ What makes it different
Dynamic SL by regime (ATR percentile): Instead of a fixed multiple, the SL multiplier adapts to the current volatility percentile (low / medium / high). That helps avoid tight stops in noisy markets and over-wide stops in quiet markets.
Risk budgeting, not guesswork: Size is computed from Account Balance × Max Risk % divided by SL distance × point value. You risk the same dollars across assets/timeframes.
Precision that matches your instrument: Entry, TP, SL, and SL Distance are displayed as exact prices (no rounding), truncated to syminfo.mintick so they align with broker/exchange precision.
Symbol-aware point value: Uses syminfo.pointvalue so you don’t maintain tick tables.
Non-repaint option: Work from closed bars to keep the plan stable.
🔧 How to use (quick start)
Add to chart and pick your timeframe and symbol.
In settings:
Set Account Balance (USD) and Max Risk per Trade (%).
Choose R:R (1:1 … 1:5).
Pick ATR Period and CCI Period (defaults are sensible).
Keep Dynamic ATR ON to adapt SL by regime.
Keep Use closed-bar values ON to avoid repaint when planning.
Read the labels (Entry/TP/SL) and the table (SL Distance, Position Size, Max USD Risk, ATR Percentile, effective SL Mult).
Combine with your entry trigger (price action, levels, momentum, etc.). This indicator handles risk & targets.
📐 How levels are computed
Bias: CCI ≥ 0 ⇒ long, otherwise short.
ATR Percentile: Percent rank of ATR(atrPeriod) over a lookback window.
Effective SL Mult:
If percentile < Low threshold ⇒ use Low SL Mult (tighter).
If between thresholds ⇒ use Base SL Mult.
If percentile > High threshold ⇒ use High SL Mult (wider).
Stop-Loss: SL = Entry ± ATR × SL_Mult (minus for long, plus for short).
Take-Profit: TP = Entry ± (Entry − SL) × R (R from the R:R dropdown).
Position Size:
USD Risk = Balance × Risk%
Contracts = USD Risk ÷ (|Entry − SL| × PointValue)
For futures, quantity is floored to whole contracts.
Exact prices: Entry/TP/SL and SL Distance are not rounded; they’re truncated to mintick so what you see matches valid price increments.
📊 What you’ll see on chart
Latest Entry (blue), TP (green), SL (red) with labels (optional emojis: ➡️ 🎯 🛑).
Info Table with:
Bias, Entry, TP, SL (exact, truncated to mintick)
SL Distance (exact, truncated)
Position Size (contracts/units)
Max USD Risk
Point Value
ATR Percentile and effective SL Mult
🧪 Practical examples
High-volatility session (e.g., XAUUSD, 1H): ATR percentile is high ⇒ wider SL, smaller size. Reduces churn from normal noise during macro events.
Range-bound market (e.g., EURUSD, 4H): ATR percentile low ⇒ tighter SL, better R:R. Helps you avoid carrying unnecessary risk.
Index swing planning (e.g., ES1!, Daily): Non-repaint levels + risk budgeting = consistent sizing across days/weeks, easier to review and journal.
🧭 Why traders should use it
Consistency: Same dollar risk regardless of instrument or volatility regime.
Clarity: One-trade view forces focus; you see the numbers that matter.
Adaptivity: Stops calibrated to the market’s current behavior, not last month’s.
Discipline: A visible checklist (SL distance, size, USD risk) before you hit buy/sell.
🔧 Input guide (practical defaults)
CCI Period: 100 by default; use as a bias filter, not an entry signal.
ATR Period: 14 by default; raise for smoother, lower for more reactive.
ATR Percentile Lookback: 200 by default (stable regime detection).
Percentile thresholds: 33/66 by default; widen the gap to change how often regimes switch.
SL Mults: Start ~1.5 / 2.0 / 2.5 (low/base/high). Tune by asset.
Risk % per trade: Common pro ranges are 0.25–1.0%; adjust to your risk tolerance.
R:R: Start with 1:2 or 1:3 for balanced skew; adapt to strategy edge.
Closed-bar values: Keep ON for planning/live; turn OFF only for exploration.
💡 Best practices
Combine with your entry logic (structure, momentum, liquidity levels).
Review ATR percentile and effective SL Mult across sessions so you understand regime shifts.
For futures, remember size is floored to whole contracts—safer by design.
Journal trades with the table snapshot to improve risk discipline over time.
⚠️ Notes & limitations
This is not a strategy; it does not place orders or alerts.
No slippage/commissions modeled here; build a strategy() version for backtests that mirror your broker/exchange.
Displayed non-price metrics use two decimals; prices and SL Distance are exact (truncated to mintick).
📎 Disclaimer
For educational purposes only. Not financial advice. Markets involve risk. Test thoroughly before trading live.
D-ATR
ATR%指標概要 / Overview
ATR Percentage (MTF)：把 ATR 轉為百分比（ATR%）或保留為絕對值，並在該「波動序列」上套用布林帶。支援多週期（MTF）計算：例如在 5 分圖顯示 4H / D1 的 ATR%。內建白色點狀水平線作為固定門檻（預設 1%）。
ATR Percentage (MTF): Converts ATR to a percentage of price (ATR%) or keeps it as absolute ATR, then applies Bollinger Bands on this volatility series. Supports multi-timeframe (MTF) calculation (e.g., show 4H/D1 ATR% on a 5-min chart). Includes a configurable white dotted horizontal threshold line (default 1%).
⸻
設計目的 / Purpose
• 以 ATR% 衡量相對波動，利於跨品種比較。
Use ATR% for relative volatility to compare across markets.
• 以 布林帶 標示「高/低波動區」，觀察擴張與壓縮。
Use Bollinger Bands on volatility to highlight expansion/squeeze.
• 提供 固定閾值（1%） 作為策略濾網或告警門檻。
Provide a fixed threshold (1%) for filters/alerts.
• 以 MTF 方式，讓低週期策略用高週期波動做濾網。
MTF lets lower-TF strategies filter by higher-TF volatility.
⸻
參數說明 / Inputs
• Use ATR as % of Close：切換 ATR（絕對值）/ ATR%（建議）。
Toggle between absolute ATR and ATR% (recommended).
• ATR Periods：ATR 計算長度（預設 22）。
ATR lookback (default 22).
• Show Bollinger Bands / BB Periods / StdDev：布林帶開關、長度與倍數（預設 20 / 2）。
Bollinger Bands on/off, length, and deviation (default 20 / 2).
• Source Timeframe：計算用週期（如 60、240、D、W；留空/Chart ＝ 跟隨圖表）。
Timeframe used for calculations (e.g., 60, 240, D, W; empty/“Chart” = current).
• Threshold Line (%)：白色點線門檻，預設 1.0（即 1%）。
White dotted threshold line, default 1.0 (1%).
提醒：當 非 ATR% 模式時，Threshold 值代表「價格單位」而非百分比。
Note: In non-ATR% mode, the threshold is in price units, not percent.
⸻
訊號解讀 / How to Read
• ATR% > 上軌：波動顯著擴張（趨勢啟動或加速常見）。
ATR% above upper band: significant expansion; often trend ignition/acceleration.
• ATR% < 下軌：波動明顯壓縮（常見於突破前）。
ATR% below lower band: volatility squeeze; often precedes breakouts.
• ATR% 穿越 Threshold（1%）：達到固定波動標準，可作策略開關或風控分水嶺。
ATR% crossing the 1% threshold: fixed volatility bar for filters/risk gates.
⸻
內建告警 / Built-in Alerts
• Volatility Breakout (MTF)：ATR/ATR% 向上穿越上軌。
Triggers when ATR/ATR% crosses above the upper band.
• Volatility Squeeze (MTF)：ATR/ATR% 向下穿越下軌。
Triggers when ATR/ATR% crosses below the lower band.
⸻
使用建議 / Suggested Uses
• 當沖濾網：於 1–5 分圖選擇 4H / D1 作為 Source Timeframe；僅在 ATR% > 1% 且位於中線以上時允許趨勢進場。
Intraday filter: on 1–5m charts, set 4H/D1 as source TF; allow trend entries only when ATR% > 1% and above the midline.
• 突破前偵測：ATR% 長時間貼近下軌 → 留意可能的波動擴張。
Pre-breakout scan: prolonged ATR% near lower band can foreshadow expansion.
• 跨品種比較：用 ATR% 統一指數、外匯、商品的波動刻度。
Cross-asset comparison: ATR% normalizes volatility across indices/FX/commodities.
⸻
已知限制 / Notes
• MTF 對齊：使用 request.security() 對映高週期資料到當前圖表；在歷史回補與即時邊界棒可能略有差異。
MTF alignment: request.security() maps higher-TF data; boundary bars may differ slightly between historical and realtime.
• 百分比分母：ATR% 的分母為同一週期的 close；若需更平滑可改 ATR / SMA(close, N) × 100。
Denominator: ATR% uses same-TF close; for smoother values consider ATR / SMA(close, N) × 100.
• 風險聲明：僅供研究/教育用途，非投資建議，請自行控管風險。
Disclaimer: For research/education only. Not investment advice.
⸻
版本與更新 / Version & Updates
• v1.0：ATR/ATR% + BB（MTF）、1% 白色點線、兩組告警。
v1.0: ATR/ATR% + BB (MTF), 1% white dotted line, two alert conditions.
Mutanabby_AI | Ultimate Algo | Remastered+Overview
The Mutanabby_AI Ultimate Algo Remastered+ represents a sophisticated trend-following system that combines Supertrend analysis with multiple moving average confirmations. This comprehensive indicator is designed specifically for identifying high-probability trend continuation and reversal opportunities across various market conditions.
Core Algorithm Components
**Supertrend Foundation**: The primary signal generation relies on a customizable Supertrend indicator with adjustable sensitivity (1-20 range). This adaptive trend-following tool uses Average True Range calculations to establish dynamic support and resistance levels that respond to market volatility.
**SMA Confirmation Matrix**: Multiple Simple Moving Averages (SMA 4, 5, 9, 13) provide layered confirmation for signal strength. The algorithm distinguishes between regular signals and "Strong" signals based on SMA 4 vs SMA 5 relationship, offering traders different conviction levels for position sizing.
**Trend Ribbon Visualization**: SMA 21 and SMA 34 create a visual trend ribbon that changes color based on their relationship. Green ribbon indicates bullish momentum while red signals bearish conditions, providing immediate visual trend context.
**RSI-Based Candle Coloring**: Advanced 61-tier RSI system colors candles with gradient precision from deep red (RSI ≤20) through purple transitions to bright green (RSI ≥79). This visual enhancement helps traders instantly assess momentum strength and overbought/oversold conditions.
Signal Generation Logic
**Buy Signal Criteria**:
- Price crosses above Supertrend line
- Close price must be above SMA 9 (trend confirmation)
- Signal strength determined by SMA 4 vs SMA 5 relationship
- "Strong Buy" when SMA 4 ≥ SMA 5
- Regular "Buy" when SMA 4 < SMA 5
**Sell Signal Criteria**:
- Price crosses below Supertrend line
- Close price must be below SMA 9 (trend confirmation)
- Signal strength based on SMA relationship
- "Strong Sell" when SMA 4 ≤ SMA 5
- Regular "Sell" when SMA 4 > SMA 5
Advanced Risk Management System
**Automated TP/SL Calculation**: The indicator automatically calculates stop loss and take profit levels using ATR-based measurements. Risk percentage and ATR length are fully customizable, allowing traders to adapt to different market conditions and personal risk tolerance.
**Multiple Take Profit Targets**:
- 1:1 Risk-Reward ratio for conservative profit taking
- 2:1 Risk-Reward for balanced trade management
- 3:1 Risk-Reward for maximum profit potential
**Visual Risk Display**: All risk management levels appear as both labels and optional trend lines on the chart. Customizable line styles (solid, dashed, dotted) and positioning ensure clear visualization without chart clutter.
**Dynamic Level Updates**: Risk levels automatically recalculate with each new signal, maintaining current market relevance throughout position lifecycles.
Visual Enhancement Features
**Customizable Display Options**: Toggle trend ribbon, TP/SL levels, and risk lines independently. Decimal precision adjustments (1-8 decimal places) accommodate different instrument price formats and personal preferences.
**Professional Label System**: Clean, informative labels show entry points, stop losses, and take profit targets with precise price levels. Labels automatically position themselves for optimal chart readability.
**Color-Coded Momentum**: The gradient RSI candle coloring system provides instant visual feedback on momentum strength, helping traders assess market energy and potential reversal zones.
Implementation Strategy
**Timeframe Optimization**: The algorithm performs effectively across multiple timeframes, with higher timeframes (4H, Daily) providing more reliable signals for swing trading. Lower timeframes work well for day trading with appropriate risk adjustments.
**Sensitivity Adjustment**: Lower sensitivity values (1-5) generate fewer but higher-quality signals, ideal for conservative approaches. Higher sensitivity (15-20) increases signal frequency for active trading styles.
**Risk Management Integration**: Use the automated risk calculations as baseline parameters, adjusting risk percentage based on account size and market conditions. The 1:1, 2:1, 3:1 targets enable systematic profit-taking strategies.
Market Application
**Trend Following Excellence**: Primary strength lies in capturing significant trend movements through the Supertrend foundation with SMA confirmation. The dual-layer approach reduces false signals common in single-indicator systems.
**Momentum Assessment**: RSI-based candle coloring provides immediate momentum context, helping traders assess signal strength and potential continuation probability.
**Range Detection**: The trend ribbon helps identify ranging conditions when SMA 21 and SMA 34 converge, alerting traders to potential breakout opportunities.
Performance Optimization
**Signal Quality**: The requirement for both Supertrend crossover AND SMA 9 confirmation significantly improves signal reliability compared to basic trend-following approaches.
**Visual Clarity**: The comprehensive visual system enables rapid market assessment without complex calculations, ideal for traders managing multiple instruments.
**Adaptability**: Extensive customization options allow fine-tuning for specific markets, trading styles, and risk preferences while maintaining the core algorithm integrity.
## Non-Repainting Design
**Educational Note**: This indicator uses standard TradingView functions (Supertrend, SMA, RSI) with normal behavior patterns. Real-time updates on current candles are expected and standard across all technical indicators. Historical signals on closed candles remain fixed and unchanged, ensuring reliable backtesting and analysis.
**Signal Confirmation**: Final signals are confirmed only when candles close, following standard technical analysis principles. The algorithm provides clear distinction between developing signals and confirmed entries.
Technical Specifications
**Supertrend Parameters**: Default sensitivity of 4 with ATR length of 11 provides balanced signal generation. Sensitivity range from 1-20 allows adaptation to different market volatilities and trading preferences.
**Moving Average Configuration**: SMA periods of 8, 9, and 13 create multi-layered trend confirmation, while SMA 21 and 34 form the visual trend ribbon for broader market context.
**Risk Management**: ATR-based calculations with customizable risk percentage ensure dynamic adaptation to market volatility while maintaining consistent risk exposure principles.
Recommended Settings
**Conservative Approach**: Sensitivity 4-5, RSI length 14, higher timeframes (4H, Daily) for swing trading with maximum signal reliability.
**Active Trading**: Sensitivity 6-8, RSI length 8-10, intermediate timeframes (1H) for balanced signal frequency and quality.
**Scalping Setup**: Sensitivity 10-15, RSI length 5-8, lower timeframes (15-30min) with enhanced risk management protocols.
## Conclusion
The Mutanabby_AI Ultimate Algo Remastered+ combines proven trend-following principles with modern visual enhancements and comprehensive risk management. The algorithm's strength lies in its multi-layered confirmation approach and automated risk calculations, providing both novice and experienced traders with clear signals and systematic trade management.
Success with this system requires understanding the relationship between signal strength indicators and adapting sensitivity settings to match current market conditions. The comprehensive visual feedback system enables rapid decision-making while the automated risk management ensures consistent trade parameters.
Practice with different sensitivity settings and timeframes to optimize performance for your specific trading style and risk tolerance. The algorithm's systematic approach provides an excellent framework for disciplined trend-following strategies across various market environments.
Elite Scalper by Jaehee🔹 Elite Scalper by Jaehee
A precision-built tool for intraday traders who rely on structure, momentum, and confluence — not noise.
This script combines RSI-based exhaustion signals with directional EMA filters and real-time ADX, ATR, and OBV conditions. By filtering out weak setups and highlighting only high-probability reversal points, it helps traders stay on the right side of momentum without chasing.
💡 Core Features:
• Clean buy/sell signals with directional filters
• EMA core + glow lines for trend clarity
• Live ADX / ATR / OBV readings displayed directly on the chart
• ✅/❌ logic for instant visual confirmation of filter strength
• Full chart-height signal markers for easy tracking
This is not a beginner's indicator. It's designed for scalpers and momentum traders who value precision, signal discipline, and market context over quantity.
If you understand structure, you'll see the edge.
Smart Trend Signals [QuantAlgo]🟢 Overview
The Smart Trend Signals indicator is created to address a fundamental challenge in technical analysis: generating timely trend signals while adapting to varying market volatility conditions. The indicator distinguishes itself by employing volatility-adjusted calculations that automatically modify signal sensitivity based on current market conditions, rather than using fixed parameters that perform inconsistently across different market environments. By processing Long and Short signals through separate dynamic calculation engines, each optimized for its respective directional bias, the indicator reduces the common issue of delayed or conflicting signals that plague many traditional trend-following tools. Additionally, the integration of linear regression-based trend confirmation adds another layer of signal validation, helping to filter market noise while maintaining responsiveness to genuine price movements. This adaptive approach makes the indicator practical for both traders and investors across different asset classes and timeframes, from short-term forex/crypto scalping to long-term equity position analysis.
🟢 How It Works
The indicator uses a straightforward calculation process that combines volatility measurement with momentum detection to generate directional signals. The system first calculates Average True Range (ATR) over a user-defined period to measure current market volatility. This ATR value is then multiplied by the Smart Trend Multiplier setting to create dynamic reference levels that expand during volatile periods and contract during calmer market conditions.
For signal generation, the indicator maintains separate calculation paths for Long/Buy and Short/Sell opportunities. Long signals are generated when price moves above a dynamically calculated level below the current price, confirmed by an exponential moving average crossover in the same direction. Short signals work in reverse, triggering when price moves below a calculated level above the current price, also requiring EMA confirmation. This dual-path approach allows each signal type to operate with parameters suited to its directional bias.
🟢 How to Use
Long Signals (Green Labels): Appear as "Long" labels below price bars when the indicator detects upward price momentum above the calculated reference level, confirmed by EMA crossover. These signals identify moments when price action demonstrates bullish characteristics based on the volatility-adjusted calculations.
Short Signals (Red Labels): Display as "Short" labels above price bars when downward price momentum below the reference level is detected and confirmed by EMA crossover. These signals highlight instances where price action exhibits bearish characteristics according to the indicator's mathematical framework.
Customizable Bar Coloring: This feature colors individual price bars to match the current signal direction. When enabled, each bar reflects the indicator's current directional bias, creating a continuous visual representation of trend periods across the chart timeline.
Built-in Alert System: Provides automatic notifications for new signals with detailed exchange and ticker information. The alert system monitors the indicator's calculations continuously and triggers notifications when new long or short signals are generated, allowing traders/investors to track multiple instruments simultaneously.
🟢 Pro Tips for Trading and Investing
→ Parameter Adjustment: Higher Smart Trend Multiplier settings generate fewer signals that may be more selective, while lower settings produce more frequent signals that may include more false positives. Test different settings to find what works for your trading style and market conditions.
→ Timeframe Analysis: Using higher timeframes for general trend direction and lower timeframes for entry timing is a common approach.
→ Risk Management: No indicator eliminates the need for proper risk management. Use appropriate position sizing and stop-loss strategies regardless of signal quality or frequency.
→ Market Conditions: The indicator may perform differently in trending versus ranging markets. Frequent signal changes might indicate choppy conditions. Backtest and paper trade before risking real capital.
ATR Dynamic Stop (Table + Plot + ATR %)📊 This script displays dynamic stop levels based on ATR, designed for active traders.
Features:
- Shows long and short stop levels (price ± ATR × multiplier).
- Displays values as a floating table on the top-right corner.
- Optional plot lines directly on the chart.
- Option to calculate based on realtime price or last close.
- Displays the ATR value both in price units and as a percentage of the selected price.
- Fully customizable table: text size, text color, background color.
Inputs:
- ATR Multiplier and Length.
- Show/hide stop lines on the chart.
- Select price source (realtime or last close).
- Table appearance options.
Ideal for:
- Traders who want a clear visual stop guide.
- Combining volatility with risk management.
TSD Quantum [Moeinudin Montazerfaraj] 🔸 "TSD" stands for **Trend 1-2-3 and Supply & Demand**, which is the foundation of the trading style this indicator is built upon.
🔹 TSD Quantum is a specialized indicator designed exclusively for day traders who trade EURUSD, XAUUSD (Gold), and DAX40 on the 1H, 15M, and 5M timeframes using a Supply & Demand-based strategy.
This indicator is **not suitable for other symbols** and has been tailored specifically for these three assets to ensure high precision and effectiveness.
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### 🔍 Key Features:
✅ **Trading Checklist Panel**
A built-in checklist helps you track every rule in your trading plan. If even one condition is left unchecked, the system highlights it in red and marks the trade as "Not Allowed." This feature enhances trading discipline.
✅ **Spread & ATR Control Panel**
Supports both auto-calculated and fixed values for spread and ATR. This is especially helpful when placing stop-losses quickly and accurately.
✅ **Inside & Outside Candle Detection**
A dedicated panel highlights whether the last candle is inside or outside. Hovering your mouse over the chart elements automatically colorizes the candles:
🔵 Blue = Outside candle
🔴 Red = Inside candle
Also displays the high/low of the latest outside bar.
✅ **Weekly Trade Stats Panel**
Custom-built for the mentioned three assets. You can enter your trades using either fixed risk or floating risk models.
✅ **Performance Metrics**
Helps you build and adjust a floating risk model—so you don’t have to enter every trade with the same lot size. Improves risk management across multiple trades.
✅ **Base Candles Display**
Grey and white base candles are marked based on supply and demand zones.
✅ **EOT Candles**
Candles with a green dot underneath indicate valid EOT opportunities for potential move-outs.
✅ **RC (Rejection Candle) Detection**
RC candles are automatically detected to alert you of potential traps or weaknesses during Supply/Demand formations.
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### ⚠️ Disclaimer
This indicator does **not** issue buy/sell signals and **cannot guarantee profit or prevent loss**. It is a **tool for discretionary trading**, not an automated expert advisor.
All decisions must be made by the trader based on their own strategy and risk tolerance.
This is the **latest tested version** of TSD Quantum. All features have been validated and function as intended. Future updates will be provided if needed.
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🙏 Thank you for reviewing this script. We hope it becomes a valuable addition to your day trading toolkit!
Fibonacci-Based Volume Flow (VFI)Fibonacci-based Volume Flow is an advanced next-generation evolution of LazyBear’s original VFI script that calculates and averages up to 21 Fibonacci-based VFI pairings to create a smoothed composite volume flow signal. This unique and powerful approach reduces noise, adapts to volatility, and provides a clearer view of trend strength and market structure across all timeframes. It also includes dynamic fibonacci guide levels, adaptive lookbacks, EMA crossovers, and structure-aware pivot labeling to help traders identify high-quality reversals, confirm directional bias, and detect divergences with greater precision. It's ideal for traders looking to enhance momentum analysis through volume-based confirmation.
🧠 Key Features🧠
🔹 Multi-VFI Fibonacci Fusion🔹
Blends up to 21 VFI signals (5, 13, 21, 34… up to 610) into smartly paired averages (e.g., 13/34, 55/144) — forming a smoothed composite VFI that’s more adaptive, less noisy, and highly responsive across market conditions.
🔸🔸 Dynamic Lookbacks🔸 🔸
Automatically adjusts histogram high/low tracking based on your chart’s timeframe — no more static tuning. Perfect for scalping fast charts or confirming long-term trends.
🟥🟩 Color-Coded Histogram🟥🟩
Visualizes VFI momentum with gradient coloring.
🧩🧩 Signal Crossovers 🧩🧩
Color-coded crossover lines persistently show bullish or bearish dominance.
Includes three powerful crossover systems:
➖5/13 VFI: Fast, early reversal detection
➖8/21 VFI: Swing-trading sweet spot
➖55/144 VFI: Trend confirmation across long cycles
🏷️ 🏷️Pivot Structure Labels🏷️🏷️
Labels oscillator swings with full structural logic:
➖HH, HL, LH, LL, EQ
➖Displays percent change, price at pivot, oscillator reading
➖Smart coloring detects divergence & trend continuation
📈 📈Dynamic Histogram Guides📈📈
Optional zero and ±50% bands anchor histogram levels based on real histogram extremes, not static thresholds — visually frame momentum shifts with context.
📍 📍Persistent High/Low Pivot Lines📍📍
Track the most significant histogram pivots (not price) across time, with smart labels:
➖Volume flow structure zones
➖Label shows price at pivot, oscillator level, and bars since event
➖Ideal for spotting divergence zones, momentum failures, and trend exhaustion.
🔍 🔍Volatility Table (ATR%)🔍🔍
💡Shows real-time volatility compression or expansion
💡Uses multiple ATR periods (e.g., 14 & 55) for short- and medium-term comparison
💡Helps traders understand whether momentum is likely to continue or stall
🔩🔩Volume-weighted VFI baselines🔩🔩
🟢A daily session-based VWAP of the VFI, which resets each day and highlights intraday volume flow context.
🟠A rolling VWA of VFI, which acts like a VWMA over a fixed window (e.g., 55 bars), smoothing short-term fluctuations and supporting trend/momentum confirmation.
These VWAP-style overlays help traders identify strength vs. weakness relative to volume-weighted baselines — useful for divergence spotting, mean reversion setups, or breakout confirmation.
🧰 🧰Under the Hood: How It Works🧰🧰
🔧 Core VFI Logic
Based on LazyBear’s foundational VFI:
➖Uses log returns of price (HLC3)
➖Filters insignificant moves using volatility-weighted thresholds
➖Normalizes volume via adaptive capping (e.g., 2.5× average)
🌀 Composite Blend System
Each VFI instance is smoothed and then fused via user-selectable pairs. This creates a customizable average VFI representing short, mid, and long-term pressure — one value, many time horizons.
📊 EMA Signal Layer
Crosses trigger persistent color shifts in signal lines, making trend strength clear at a glance.
VFI blend feeds into EMA crossovers. You can toggle visibility for:
➖Fast (5/13)
➖Medium (8/21)
➖Slow (55/144)
🧭 Pivot Framework
Structure logic only compares pivots on same-side polarity:
➖Highs compare to highs above zero
➖Lows compare to lows below zero
This avoids nonsensical comparisons and preserves logical sequences (HH → LH → HL).
🧱 Dynamic Labels
All pivots and persistent levels display:
➖Oscillator value
➖Price value
➖Structure tag (e.g., LH, HL)
➖% change from prior pivot
➖Lookback info
➖Bar age
Unlike traditional VFI:
✅ It blends timeframes with Fibonacci precision
✅ Uses dynamic, volatility-aware logic
✅ Embeds visual structure & divergence intelligence
✅ Enhances entry confidence and exit timing
🔧 This isn’t just an indicator — it’s a volume-informed decision engine.
Ideal For:
🔶Trend-followers wanting cleaner volume-based confirmation
🔶Reversal traders spotting structure + divergence
🔶Scalpers or investors needing adaptable signals
🔶Those who loved LazyBear's VFI
📌 Final Note:
As powerful as Fibonacci Blended Volume Flow is, no single indicator should be used in isolation. For best results, combine it with price action analysis, higher-timeframe context, and complementary tools like trendlines, moving averages, or support/resistance levels. Use it as part of a well-rounded trading approach to confirm setups — not to define them alone.
Fundur - Trend LinesFundur - Trend Lines: Complete Trading Indicator Guide
Indicator Overview
The Fundur - Trend Lines is an advanced multi-layered trend analysis system that combines adaptive trend line technology, momentum analysis, and intelligent signal generation into one comprehensive trading tool. This indicator goes beyond traditional moving averages by utilizing volatility-adjusted trend lines that dynamically adapt to market conditions, providing traders with precise trend strength measurements and actionable trading signals.
What Makes Trend Lines Unique?
The Trend Lines indicator introduces Adaptive Trend Line Technology - a sophisticated methodology that uses Average True Range (ATR) calculations to create trend lines that respond intelligently to market volatility. Unlike static indicators, Trend Lines provides dynamic analysis that adapts its sensitivity based on current market conditions, offering more accurate trend identification and strength assessment.
Core Methodology
The indicator operates on the principle that trend strength can be quantified by analyzing the relationship between multiple adaptive trend lines, momentum indicators, and market structure. By combining Alignment Analysis , Distance Measurements , Momentum Confirmation , and Volatility Expansion Potential , the system generates a comprehensive trend strength score from 0-100% with corresponding trading signals.
Key Features
🎯 Adaptive Trend Line System Slow Trend Line : Primary trend direction with lower sensitivity for major trend identification Fast Trend Line : Higher sensitivity trend line for early trend change detection Volatility Adaptation : Both lines automatically adjust to market volatility using ATR calculations Cloud Visualization : Colored areas between trend lines show trend strength and direction
📊 Comprehensive Trend Strength Analysis Quantified Strength (0-100%) : Precise trend strength measurement combining multiple factors Alignment Score : Measures agreement between multiple trend line systems Distance Analysis : Evaluates price proximity to trend lines using ATR normalization Momentum Integration : Incorporates Awesome Oscillator for momentum confirmation Squeeze Factor : Identifies volatility expansion potential for breakout opportunities
🧠 Intelligent Signal Generation Position Signals : Clear ADD LONG, ADD SHORT, REDUCE, HOLD recommendations Risk Zone Classification : STRONG, MEDIUM, WEAK trend categorization Trend Direction : Bullish, Bearish, or Neutral trend identification Dynamic Updates : Real-time signal adjustments based on changing conditions
⚡ Enhanced Momentum Analysis Smoothed Momentum : Configurable momentum smoothing to reduce noise Acceleration Detection : Identifies momentum acceleration and deceleration Divergence Alerts : Detects price-momentum divergences for reversal warnings Directional Bias : Momentum confirmation for trend direction validation
🔍 Advanced Market Structure Detection Momentum Squeeze : Identifies low-volatility periods preceding major moves Volatility Expansion : Detects when markets break out of consolidation phases Trend Weakness Detection : Early warning system for deteriorating trends Structure Transition : Identifies when trends change character or direction
🎨 Professional Visual Interface Comprehensive Analysis Table : All key metrics displayed in organized format Visual Strength Bar : Graphical representation of trend strength Color-Coded Components : Intuitive color scheme for quick analysis Customizable Display : Flexible positioning and sizing options
Setup Guide
Step 1: Adding the Indicator
Open TradingView and navigate to your desired chart Click the "Indicators" button or press "/" key Search for "Fundur - Trend Lines" Add the indicator to your chart
Step 2: Basic Configuration
Main Features Settings ✅ Show Trend Analysis Table : ON (Essential for comprehensive analysis) ✅ Enable Trend Strength Analysis : ON (Core functionality) ✅ Generate Trading Signals : ON (For position management guidance)
Trend Lines Display ✅ Show Slow Trend Line : ON (Primary trend identification) ✅ Show Fast Trend Line : ON (Early signal detection) Trend Cloud Transparency : 89% (Default recommended, adjust for visibility)
Table Positioning Table Position : Top Right (recommended for most setups) Table Size : Normal (adjust based on screen size)
Step 3: Advanced Analysis Configuration
Enhanced Features (Optional) ✅ Enhanced Momentum Analysis : ON (for more accurate signals) ✅ Divergence Detection : ON (for reversal warnings) ⚠️ Momentum Squeeze Analysis : OFF initially (can add visual complexity)
Sensitivity Settings Divergence Sensitivity : 5 (Default - lower = more sensitive) Momentum Smoothing : 3 (Default - higher = smoother signals)
Step 4: Alert Configuration
Essential Alerts (Recommended) Trading Signal Alerts : Enable for position changes Trend Strength Change Alerts : Enable for trend monitoring Strength Change Threshold : 15% (Default recommended)
Advanced Alerts (Optional) Divergence Alerts : Enable for reversal warnings Early Weakness Alerts : Enable for risk management Momentum Squeeze Alerts : Enable for breakout opportunities Trend Line Cross Alerts : Enable for level-based signals
Basic Trading Guide
Understanding Trend Strength
The indicator's foundation is the Trend Strength Score - a quantified measurement (0-100%) that combines four key factors:
Strong Trends (75%+ Strength) 🟢 Characteristics : High alignment, close price-to-trend proximity, strong momentum Signals : ADD LONG (bullish) or ADD SHORT (bearish) Strategy : Aggressive position building, trend continuation trades Risk : Lower risk due to strong trend confirmation
Medium Trends (35-75% Strength) 🟡 Characteristics : Mixed signals, moderate alignment, transitional phases Signals : HOLD current positions Strategy : Conservative approach, wait for clearer signals Risk : Medium risk, requires careful monitoring
Weak Trends (Below 35% Strength) 🔴 Characteristics : Poor alignment, distant from trend lines, weak momentum Signals : REDUCE positions or CLOSE Strategy : Risk reduction, position unwinding Risk : High risk, trend likely changing or failing
Entry Strategies
Primary Strategy: Trend Continuation Entries Setup : Strong trend strength (75%+) with clear directional bias Entry Trigger : ADD LONG or ADD SHORT signal confirmation Direction : Follow the trend direction (Bullish ⬆ or Bearish ⬇) Timing : Enter on signal generation or price pullback to trend lines
Stop Loss Placement Conservative Method : Beyond the opposite trend line Aggressive Method : Below/above recent swing points For Long Positions : Below the Slow Trend Line For Short Positions : Above the Slow Trend Line Dynamic Adjustment : Move stops with trend line progression
Profit Taking Strategy
For Long Positions (Bullish Trend): Take 50% profits when trend strength begins declining from peak Take another 25% when trend strength drops below 60% Close remaining position when REDUCE signal appears Trail stops using Fast Trend Line for remaining position
For Short Positions (Bearish Trend): Take 50% profits when trend strength begins declining from peak Take another 25% when trend strength drops below 60% Close remaining position when REDUCE signal appears Trail stops using Fast Trend Line for remaining position
Alternative Strategy: Divergence-Based Reversal Entries Setup : Bullish or bearish divergence detected with weakening trend strength Entry : On trend direction change confirmation Risk Management : Tight stops due to counter-trend nature Targets : Opposite trend line or previous swing levels
Risk Management Framework
Position Sizing Based on Trend Strength Strong Trends (75%+) : Full position size (within risk tolerance) Medium Trends (35-75%) : Reduced position size (50-75% of normal) Weak Trends (Below 35%) : Minimal or no new positions Transitional Periods : Smallest position sizes due to uncertainty
Dynamic Risk Adjustment Increasing Strength : Can add to positions gradually Decreasing Strength : Begin profit-taking and position reduction Rapid Strength Loss : Quick position reduction or exit Divergence Warning : Tighten stops and prepare for reversal
Analysis Setups
Setup 1: Scalping Configuration (1-5 minute charts)
Settings Optimization: Momentum Smoothing: 2 (more responsive) Divergence Sensitivity: 3 (higher sensitivity) Enhanced Momentum Analysis: ON All alerts: ON for rapid signal updates
Visual Settings: Table Size: Small (less screen space) Table Position: Top Right Trend Cloud Transparency: 85% (subtle background)
Trading Approach: Focus on quick ADD signals in strong trends Use Fast Trend Line for entry timing Quick profit-taking at first sign of strength decline Very tight risk management due to lower timeframe noise
Setup 2: Day Trading Configuration (5-15 minute charts)
Settings Optimization: All default settings work well Enable Momentum Squeeze Analysis for breakout identification Divergence Detection: ON for reversal warnings Trend Strength Change Threshold: 12% (more sensitive)
Visual Settings: Table Size: Normal Show all trend analysis components Trend Cloud Transparency: 89% (default)
Trading Approach: Wait for clear trend strength above 65% before entering Use momentum squeeze breakouts for early entries Hold positions through medium strength phases Exit on REDUCE signals or strength below 40%
Setup 3: Swing Trading Configuration (1-4 hour charts)
Settings Optimization: Momentum Smoothing: 4 (smoother for higher timeframe) Divergence Sensitivity: 7 (less sensitive, higher quality signals) Enhanced Momentum Analysis: ON Early Weakness Alerts: ON (important for swing trades)
Visual Settings: Table Size: Normal or Large Focus on trend strength and direction components Enable all visual features for comprehensive analysis
Trading Approach: Require trend strength above 70% for new positions Hold through temporary strength dips if above 50% Use divergence signals for early exit warnings Focus on major trend changes for position adjustments
Setup 4: Position Trading Configuration (4H-Daily charts)
Settings Optimization: Momentum Smoothing: 5 (maximum smoothing) Divergence Sensitivity: 10 (only high-quality divergences) Strength Change Threshold: 20% (major changes only) Focus on trend direction and strength alerts
Visual Settings: Table Size: Large (detailed analysis) Clean visual setup focusing on major components Minimal clutter for long-term perspective
Trading Approach: Only enter on very strong trends (80%+ strength) Hold through significant strength fluctuations Focus on major trend direction changes Use weekly/monthly trend alignment for confirmation
Setup 5: Multi-Asset Analysis Configuration
For Forex Pairs: Standard settings work well due to 24-hour markets Pay attention to session-based strength changes Use momentum squeeze for breakout trading Enable all alert types for continuous monitoring
For Cryptocurrency: Reduce momentum smoothing (2-3) due to high volatility Increase divergence sensitivity (3-4) for early warnings Focus on strength changes above 20% threshold Use squeeze analysis for breakout opportunities
For Stock Indices: Standard settings appropriate for most indices Enable early weakness alerts for risk management Consider market hours for signal validity Use higher timeframes for better signal quality
Visual Components
Trend Analysis Table Trend Strength : Percentage with visual strength bar Trend Signal : Current position recommendation Risk Zone : STRONG/MEDIUM/WEAK classification Alignment : Trend line agreement analysis Distance : Price proximity to trend lines Momentum : Current momentum direction and strength
Trend Lines and Clouds Colored Clouds : Green for bullish trends, red for bearish trends Cloud Intensity : Opacity reflects trend strength Dynamic Colors : Automatically adjust based on trend direction
Momentum Squeeze Visualization Yellow Highlights : Above and below price during squeeze periods Squeeze Indication : Identifies low-volatility consolidation Breakout Preparation : Visual cue for potential explosive moves
Alert System
Trading Signal Alerts ADD LONG : Strong bullish trend confirmed ADD SHORT : Strong bearish trend confirmed REDUCE : Trend weakness detected, position reduction recommended HOLD : Maintain current positions, no change needed
Trend Analysis Alerts Strength Increase : Trend gaining momentum Strength Decrease : Trend losing momentum Early Weakness : Warning of potential trend deterioration Trend Direction Change : Major trend shift detected
Technical Alerts Bullish Divergence : Price falling but momentum rising Bearish Divergence : Price rising but momentum falling Momentum Squeeze Start : Volatility contraction beginning Momentum Squeeze End : Breakout from low volatility period Trend Line Cross : Price crossing above/below trend lines
Setting Up Alerts Enable desired alert types in indicator settings Create TradingView alerts using "Fundur - Trend Lines" as source Configure notification methods (email, SMS, app notifications) Test alerts with paper trading before live implementation Adjust alert frequency settings to avoid spam
Best Practices
Trend Strength Interpretation Above 75% : High confidence trades, full position sizes 50-75% : Moderate confidence, reduced positions Below 50% : Low confidence, minimal or no positions Rapid Changes : Pay attention to sudden strength shifts
Signal Management Don't Chase : Wait for clear signals rather than predicting Confirm with Price Action : Use chart patterns for additional confirmation Respect Risk Zones : Adjust position sizes based on trend classification Monitor Alignment : Strong alignment increases signal reliability
Multi-Timeframe Integration Higher Timeframe Bias : Use daily/weekly for overall trend direction Lower Timeframe Entries : Use hourly/15min for precise entry timing Confirmation Requirement : Ensure alignment between timeframes Conflict Resolution : Higher timeframe takes precedence
Common Mistakes to Avoid
Signal Misinterpretation Ignoring Trend Strength : Don't trade weak signals (below 60%) Fighting the Trend : Don't go against strong trend directions Overreliance on Single Component : Consider all analysis factors Impatience : Wait for clear STRONG trend classification
Risk Management Errors Fixed Position Sizes : Adjust sizes based on trend strength Ignoring REDUCE Signals : Take profits when indicator suggests No Stop Losses : Always use stops beyond trend lines Overleveraging Weak Signals : Use smaller positions in MEDIUM zones
Technical Analysis Errors Ignoring Divergences : Pay attention to momentum warnings Missing Squeeze Opportunities : Watch for breakout setups Poor Timeframe Selection : Match timeframe to trading style Alert Fatigue : Don't enable too many alerts simultaneously
Advanced Techniques
Divergence Trading Early Reversal Detection : Use divergences to anticipate trend changes Confirmation Required : Wait for trend strength decline confirmation Tight Risk Management : Use smaller positions for counter-trend trades Quick Exits : Take profits rapidly on divergence trades
Momentum Squeeze Strategies Breakout Preparation : Position before squeeze resolution Direction Bias : Use trend direction for breakout direction Volume Confirmation : Combine with volume analysis when possible False Breakout Protection : Use tight stops for failed breakouts
Multi-Component Analysis Alignment Priority : Perfect alignment (100%) provides highest confidence Distance Consideration : Closer to trend lines = higher probability Momentum Confirmation : Rising momentum supports trend direction Squeeze Integration : High squeeze factor increases breakout potential
Dynamic Position Management Scaling In : Add to positions as trend strength increases Scaling Out : Reduce positions as trend strength decreases Stop Trailing : Move stops with Fast Trend Line progression Profit Optimization : Use strength peaks for profit-taking timing
Conclusion
The Fundur - Trend Lines indicator represents a sophisticated approach to trend analysis, combining adaptive trend line technology with comprehensive strength measurement and intelligent signal generation. By quantifying trend strength through multiple analytical components, this indicator provides traders with objective, data-driven insights for making informed trading decisions.
The indicator's strength lies in its ability to adapt to changing market conditions while providing clear, actionable signals. The comprehensive trend strength analysis removes guesswork from trend trading, allowing traders to size positions appropriately and manage risk effectively based on quantified market conditions.
Success with the Trend Lines indicator comes from understanding that trend strength is dynamic and requires continuous monitoring. The 0-100% strength scale provides an objective framework for position management, while the multi-component analysis ensures robust signal generation across different market conditions.
Remember that this indicator works best when combined with proper risk management, position sizing, and market context awareness. Start with conservative settings and smaller position sizes while learning the indicator's behavior in different market environments. The comprehensive alert system helps maintain awareness of changing conditions, but successful trading still requires discipline and adherence to your trading plan.
For optimal results, practice with the indicator across different timeframes and market conditions, always prioritizing risk management over profit potential, and maintaining realistic expectations about market behavior and indicator performance.
Trend Strength Index [Alpha Extract]The Trend Strength Index leverages Volume Weighted Moving Average (VWMA) and Average True Range (ATR) to quantify trend intensity in cryptocurrency markets, particularly Bitcoin. The combination of VWMA and ATR is particularly powerful because VWMA provides a more accurate representation of the market's true average price by weighting periods of higher trading volume more heavily—capturing genuine momentum driven by increased participation rather than treating all price action equally, which is crucial in volatile assets like Bitcoin where volume spikes often signal institutional interest or market shifts.
Meanwhile, ATR normalizes this measurement for volatility, ensuring that trend strength readings remain comparable across different market conditions; without ATR's adjustment, raw price deviations from the mean could appear artificially inflated during high-volatility periods (like during news events or liquidations) or understated in low-volatility sideways markets, leading to misleading signals. Together, they create a volatility-adjusted, volume-sensitive metric that reliably distinguishes between meaningful trend developments and noise.
This indicator measures the normalized distance between price and its volume-weighted mean, providing a clear visualization of trend strength while accounting for market volatility. It helps traders identify periods of strong directional movement versus consolidation, with color-coded gradients for intuitive interpretation.
🔶 CALCULATION
The indicator processes price data through these analytical stages:
Volume Weighted Moving Average: Computes a smoothed average weighted by trading volume
Volatility Normalization: Uses ATR to account for market volatility
Distance Measurement: Calculates absolute deviation between current price and VWMA
Strength Normalization: Divides price deviation by ATR for a volatility-adjusted metric
Formula:
VWMA = Volume-Weighted Moving Average of Close over specified length
ATR = Average True Range over specified length
Price Distance = |Close - VWMA|
Trend Strength = Price Distance / ATR
🔶 DETAILS Visual Features:
VWMA Line: Blue line overlay on the price chart representing the volume-weighted mean
Trend Strength Area: Histogram-style area plot with dynamic color gradient (red for weak trends, transitioning through orange and yellow to green for strong trends)
Threshold Line: Horizontal red line at the customizable Trend Enter level
Background Highlight: Subtle green background when trend strength exceeds the enter threshold for strong trend visualization
Alert System: Triggers notifications for strong trend detection
Interpretation:
0-Weak (Red): Minimal trend strength, potential consolidation or ranging market
Mid-Range (Orange/Yellow): Building momentum, watch for breakout potential
At/Above Enter Threshold (Green): Strong trend conditions, potential for continued directional moves
Threshold Crossing: Trend strength crossing above the enter level signals increasing conviction in the current direction
Color Transitions: Gradual shifts from warm (red/orange) to cool (green) tones indicate strengthening trends
🔶 EXAMPLES
Strong Trend Entry: When trend strength crosses above the enter threshold (e.g., 1.2), it identifies the onset of a powerful move where price deviates significantly from the mean.
Example: During a rally, trend strength rising from yellow (around 1.0) to green (1.2+) often precedes sustained upward momentum, providing entry opportunities for trend followers.
Consolidation Detection: Low trend strength values in red shades (below 0.5) highlight periods of low volatility and mean reversion potential.
Example: After a sharp sell-off, persistent red values signal a likely sideways phase, allowing traders to avoid whipsaws and wait for orange/yellow transitions as a precursor to recovery.
Volatility-Adjusted Pullbacks: In volatile markets, the ATR component ensures trend strength remains accurate; a dip back to yellow from green during minor corrections can indicate healthy pullbacks within a strong trend.
Example: Trend strength briefly falling to yellow levels (e.g., 0.8-1.1) after hitting green provides profit-taking signals without invalidating the overall bullish bias if the VWMA holds as support.
Threshold Alert Integration: The alert condition combines strength value with the enter threshold for timely notifications.
Example: Receiving a "Strong Trend Detected" alert when the area plot turns green helps confirm Bitcoin's breakout from consolidation, aligning with increased volume for higher-probability trades.
🔶 SETTINGS
Customization Options:
Lengths: VWMA length (default 14), ATR length (default 14)
Thresholds: Trend enter (default 1.2, step 0.1), trend exit (default 1.15, for potential future signal enhancements)
Visuals: Automatic color scaling with red at 0, transitioning to green at/above enter threshold
Alert Conditions: Strong trend detection (when strength > enter)
The Trend Strength Index equips traders with a robust, easy-to-interpret tool for gauging trend intensity in volatile markets like Bitcoin. By normalizing price deviations against volatility, it delivers reliable signals for identifying high-momentum opportunities while the gradient coloring and alerts facilitate quick assessments in both trending and choppy conditions.
Time-Price Velocity [QuantAlgo]🟢 Overview
The Time-Price Velocity indicator uses advanced velocity-based analysis to measure the rate of price change normalized against typical market movement, creating a dynamic momentum oscillator that identifies market acceleration patterns and momentum shifts. Unlike traditional momentum indicators that focus solely on price change magnitude, this indicator incorporates time-weighted displacement calculations and ATR normalization to create a sophisticated velocity measurement system that adapts to varying market volatility conditions.
This indicator displays a velocity signal line that oscillates around zero, with positive values indicating upward price velocity and negative values indicating downward price velocity. The signal incorporates acceleration background columns and statistical normalization to help traders identify momentum shifts and potential reversal or continuation opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator's key insight lies in its time-price velocity calculation system, where velocity is measured using the fundamental physics formula:
velocity = priceChange / timeWeight
The system normalizes this raw velocity against typical price movement using Average True Range (ATR) to create market-adjusted readings:
normalizedVelocity = typicalMove > 0 ? velocity / typicalMove : 0
where "typicalMove = ta.atr(lookback)" provides the baseline for normal price movement over the specified lookback period.
The Time-Price Velocity indicator calculation combines multiple sophisticated components. First, it calculates acceleration as the change in velocity over time:
acceleration = normalizedVelocity - normalizedVelocity
Then, the signal generation applies EMA smoothing to reduce noise while preserving responsiveness:
signal = ta.ema(normalizedVelocity, smooth)
This creates a velocity-based momentum indicator that combines price displacement analysis with statistical normalization, providing traders with both directional signals and acceleration insights for enhanced market timing.
🟢 How to Use
1. Signal Interpretation and Threshold Zones
Positive Values (Above Zero): Time-price velocity indicating bullish momentum with upward price displacement relative to normalized baseline
Negative Values (Below Zero): Time-price velocity indicating bearish momentum with downward price displacement relative to normalized baseline
Zero Line Crosses: Velocity transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts
Upper Threshold Zone: Area above positive threshold (default 1.0) indicating strong bullish velocity and potential reversal point
Lower Threshold Zone: Area below negative threshold (default -1.0) indicating strong bearish velocity and potential reversal point
2. Acceleration Analysis and Visual Features
Acceleration Columns: Background histogram showing velocity acceleration (the rate of change of velocity), with green columns indicating accelerating velocity and red columns indicating decelerating velocity. The interpretation depends on trend context: red columns in downtrends indicate strengthening bearish momentum, while red columns in uptrends indicate weakening bullish momentum
Acceleration Column Height: The height of each column represents the magnitude of acceleration, with taller columns indicating stronger acceleration or deceleration forces
Bar Coloring: Optional price bar coloring matches velocity direction for immediate visual trend confirmation
Info Table: Real-time display of current velocity and acceleration values with trend arrows and change indicators
3. Additional Features:
Confirmed vs Live Data: Toggle between confirmed (closed) bar analysis for stable signals or current bar inclusion for real-time updates
Multi-timeframe Adaptability: Velocity normalization ensures consistent readings across different chart timeframes and asset volatilities
Alert System: Built-in alerts for threshold crossovers and direction changes
🟢 Examples with Preconfigured Settings
Default : Balanced configuration suitable for most timeframes and general trading applications, providing optimal balance between sensitivity and noise filtering for medium-term analysis.
Scalping : High sensitivity setup with shorter lookback period and reduced smoothing for ultra-short-term trades on 1-15 minute charts, optimized for capturing rapid momentum shifts and frequent trading opportunities.
Swing Trading : Extended lookback period with enhanced smoothing and higher threshold for multi-day positions, designed to filter market noise while capturing significant momentum moves on 1-4 hour and daily timeframes.
ALFA MMThe mm indicator is an ATR-based indicator. The bands formed by the ATR value and the Fibo numbers can be used as trailing stops to follow the trend. It also attempts to find target points experimentally using an ATR-based calculation. You can use the indicator for trend tracking, as a trailing stop, or to determine trade entry areas by combining price action information.
ATR Squeeze BackgroundThis simple but powerful indicator shades the background of your chart whenever volatility contracts, based on a custom comparison of fast and slow ATR (Average True Range) periods.
By visualizing low-volatility zones, you can:
* Identify moments of compression that may precede explosive price moves
* Stay out of choppy, low-momentum periods
* Adapt this as a component in a broader volatility or breakout strategy
🔧 How It Works
* A Fast ATR (default: 7 periods) and a Slow ATR (default: 40 periods) are calculated
* When the Fast ATR is lower than the Slow ATR, the background is shaded in blue
* This shading signals a contraction in volatility — a condition often seen before breakouts or strong directional moves
⚡️ Why This Matters
Many experienced traders pay close attention to volatility cycles. This background indicator helps visualize those cycles at a glance. It's minimal, non-intrusive, and easy to combine with your existing tools.
🙏 Credits
This script borrows core logic from the excellent “Relative Volume at Time” script by TradingView. Credit is given with appreciation.
⚠️ Disclaimer
This script is for educational purposes only.
It does not constitute financial advice, and past performance is not indicative of future results. Always do your own research and test strategies before making trading decisions.
ATR % Line from LoD/HoDATR % Line Trading Indicator - Entry Filter Tool
This Pine Script creates a sophisticated ATR (Average True Range) percentage-based entry filter indicator for TradingView that helps traders avoid buying overextended stocks and identify optimal entry zones based on volatility.
Core Functionality - Entry Discipline
The script calculates a maximum entry threshold by taking a percentage of the Average True Range (ATR) and projecting it from the current day's low. This creates a dynamic "no-buy zone" that adapts to market volatility, helping traders avoid purchasing stocks that have already moved too far from their daily base.
Key Calculation:
Measures the ATR over a specified period (default: 14 bars)
Takes a user-defined percentage of that ATR (default: 25%)
Projects this distance from the day's low to establish a maximum entry threshold
Entry Rule: Avoid buying when price exceeds this ATR% level from the daily low or high.
Visual Features
Entry Threshold Line:
Draws a horizontal line at the calculated maximum entry level
Line extends forward for clear visualization of the "no-buy zone"
Red zones above this line indicate overextended conditions
Fully customizable appearance with color, width, and style options
Smart Entry Alerts:
Optional labels show the ATR percentage threshold and exact price level
Visual confirmation when stocks are trading in acceptable entry zones vs. extended areas
Real-Time Monitoring Table:
Displays current distance from daily low as ATR percentage
Shows whether current price is in "safe entry zone" or "extended territory"
Customizable display options for clean chart analysis
Practical Applications for Entry Management
Avoiding Extended Entries:
Primary Use: Don't initiate long positions when price is more than X% ATR from the daily low
Prevents buying stocks that have already made their daily move
Reduces risk of buying at temporary tops within the trading session
Entry Zone Identification:
Price trading below the ATR% line = potential entry opportunity
Price trading above the ATR% line = wait for pullback or skip the trade
Combines volatility analysis with momentum discipline
Risk Management Benefits:
Improved Entry Timing: Enter closer to daily support levels
Better Risk/Reward: Shorter distance to stop loss (daily low)
Reduced Chasing: Systematic approach prevents FOMO-driven entries
Volatility Awareness: Higher volatility stocks get wider acceptable entry ranges
Configuration for Entry Filtering
Key Settings for Entry Management:
ATR Percentage: Set your maximum acceptable extension (15-30% common for day trading)
Reference Point: Use "Low" to measure extension from daily base
Line Style: Make highly visible to clearly see entry threshold
Alert Integration: Visual confirmation of entry-friendly zones
Typical Usage Scenarios:
Conservative Entries: 15-20% ATR from daily low
Moderate Extensions: 25-35% ATR for stronger momentum plays
Aggressive Setups: 40%+ ATR for breakout situations (use with caution)
Entry Strategy Integration
Pre-Market Planning:
Set ATR% threshold based on stock's typical volatility
Identify key levels where entries become unfavorable
Plan alternative entry strategies for extended stocks
Intraday Execution:
Monitor real-time ATR% extension from daily low
Avoid new long positions when threshold is exceeded
Wait for pullbacks to re-enter acceptable entry zones
This tool transforms volatility analysis into practical entry discipline, helping traders maintain consistent entry standards and avoid the costly mistake of chasing overextended stocks. By respecting ATR-based extension limits, traders can improve their entry timing and overall trade profitability.
ATR Plots + OverlayATR Plots + Overlay
This tool calculates and displays Average True Range (ATR)-based levels on your chart for any selected timeframe, giving traders a quick visual reference for expected price movement relative to the most recent bar’s open price. It plots guide levels above and below that open and shows how much of the typical ATR-based range has already been covered—all in one interactive table and on-chart overlay.
What It Does
ATR Calculation:
Uses true range data over a user-defined period (default 14), smoothed via RMA, SMA, EMA, or WMA, on the selected timeframe (e.g., 1h, 4h, daily) to calculate the ATR value.
Projected Levels:
Plots four reference levels relative to the open price of the most recent bar on the chosen timeframe:
+100% ATR: Open + ATR
+50% ATR: Open + 50% of ATR
−50% ATR: Open − 50% of ATR
−100% ATR: Open − ATR
Coverage %:
Tracks high and low prices for the current session on the selected timeframe and calculates what percentage of the ATR has already been covered:
Coverage % = (High − Low) ÷ ATR × 100
Interactive Table:
Shows the ATR value and current coverage percentage in a customizable table overlay. Position, color scheme, borders, transparency, and an optional empty top row are all adjustable via settings.
Customization Options
Table Settings:
Position the table (top/bottom × left/right).
Customize background color, text color, border color, and thickness.
Optionally add an empty top row for spacing.
Line Settings:
Choose color, line style (solid/dotted/dashed), and width.
Lines automatically update with each new bar on the selected timeframe, anchored to that bar’s open price.
General Inputs:
ATR length (number of bars).
Smoothing method (RMA, SMA, EMA, WMA).
Timeframe selection for ATR calculations (e.g., 15m, 1h, Daily).
How to Use It for Trading
Measure Volatility: Quickly gauge the expected price movement based on ATR for any timeframe.
Identify Overextension: Use the coverage % to see how much of the expected ATR range is already consumed.
Plan Entries & Exits: Align trade targets and stops with ATR levels for more objective planning.
Visual Reference: Horizontal guide lines and table update automatically as new bars form, keeping information clear and actionable.
Ideal For
Intraday traders using ATR levels to frame trades.
Swing traders wanting ATR-based reference points for larger timeframes.
Anyone seeking a volatility-based framework for planning stops, targets, or identifying overextended conditions.
Combined Predictive Indicator### Combined Predictive Zones & Levels
This indicator is a powerful hybrid tool designed to provide a comprehensive map of potential future price action. It merges two distinct predictive models into a single, cohesive view, helping traders identify key levels of support, resistance, and areas of high confluence.
#### How It Works: Two Models in One
This script is built on two core components that you can use together or analyze separately:
**Part 1: Classic Range & Fibonacci Prediction**
This model uses classic technical analysis principles to project a potential range for the upcoming price action.
* **Highest High / Lowest Low:** It identifies the significant trading range over a user-defined lookback period.
* **Fibonacci Levels:** It automatically plots key Fibonacci retracement levels (e.g., 38.2% and 61.8%) within this range, which often act as critical support or resistance.
* **ATR & Average Range:** It calculates a "predicted" upper and lower boundary based on the average historical range and current volatility (ATR).
**Part 2: Advanced Predictive Ranges (Self-Adjusting Channels)**
This is a dynamic model that creates adaptive support and resistance zones based on a smoothed average price and volatility.
* **Dynamic Average:** It uses a unique moving average that only adjusts when the price moves significantly, creating a stable baseline.
* **ATR-Based Zones:** It projects multiple levels of support (S1, S2) and resistance (R1, R2) around this average, which widen and narrow based on market volatility. These zones often signal areas where price might stall or reverse.
#### Key Features:
* **Hybrid Model for Confluence:** The true power of this indicator lies in finding where the levels from both models overlap. A Fibonacci level aligning with a Predictive Range support zone is a much stronger signal.
* **Comprehensive Data Table:** A clean, on-chart table displays the precise values of all key predictive levels, allowing for quick reference and precise trade planning.
* **Multi-Timeframe (MTF) Capability:** The Advanced Predictive Ranges can be calculated on a higher timeframe, giving you a broader market context.
* **Fully Customizable:** All lengths, multipliers, and levels for both models are fully adjustable in the settings to fit any asset or trading style.
* **Clear Visuals:** All zones and levels are color-coded for intuitive and easy-to-read analysis.
#### How to Use:
1. Look for areas of **confluence** where multiple levels from both models cluster together. These are high-probability zones for price reactions.
2. Use the Predictive Range zones (S1/S2 and R1/R2) as potential targets for trades or as areas to watch for entries and exits.
3. Pay attention to the on-chart table for exact price levels to set limit orders or stop-losses.
**Disclaimer:** This script is an analytical tool for educational purposes and should not be considered financial advice. All trading involves risk. Past performance is not indicative of future results. Always use this indicator as part of a comprehensive trading strategy with proper risk management.
Feedback is welcome! If you find this tool useful, please leave a like.
Intelligent Moving📘 Intelligent Moving – Adaptive Neural Trend Engine
Intelligent Moving is an invite-only, closed-source indicator that dynamically adjusts itself to evolving market conditions using a built-in neural optimizer. It combines a custom adaptive Moving Average, ATR-based deviation bands, and a fully internal virtual trade simulator to deliver smart trend signals and automatic parameter tuning — all without repainting or manual intervention.
This script is built entirely from original code and does not use any open-source components or built-in TradingView indicators.
🧠 Core Logic and Visual Structure
The indicator plots:
- A central moving average (optimized dynamically),
- Upper and lower deviation bands based on ATR × adaptive coefficients,
- Buy (aqua) and Sell (orange) arrows on reversion signals,
- Color-coded trend zones based on price vs. moving average.
All three bands change color in real time depending on the price’s position relative to the MA, clearly showing uptrends (e.g. blue) and downtrends (e.g. red).
📈 Signal Logic: Reversion from Extremes
- Buy Signal: After price closes below the lower deviation band, it then closes back above it.
- Sell Signal: After price closes above the upper deviation band, it then closes back below it.
These signals are not based on crossovers, oscillators, or lagging logic — they are pure structure-based reversion entries, designed to detect exhaustion and reversal zones.
🤖 Built-In Neural Optimizer (Perceptron Engine)
At the heart of Intelligent Moving lies a self-training engine that uses simulated (virtual) positions to test multiple configurations and pick the best one. Here’s how it works:
🔄 Virtual Trade Simulation
At regular intervals (user-defined), the script:
- Simulates virtual buy/sell positions based on its signal logic.
- Applies virtual Stop-Loss (just beyond the signal zone) and virtual Take-Profit (when price crosses back over the MA).
- Calculates simulated profit for each combination of:
- - MA periods,
- - Upper/lower ATR multipliers.
🧠 Neural Training Process
- A perceptron-like engine evaluates the simulated results.
- It selects the best-performing configuration and applies it to live plotting.
- You can choose whether optimization uses a base value or the last best result from the previous training pass.
This process runs forward-only and never overwrites history or uses future data. It's completely transparent and non-repainting.
⚙️ Customization and Parameters
Users can control:
- MA period range, step, and training type (base vs last best)
- Deviation multiplier ranges and step
- Training depth (number of bars in history)
- Training interval (how often to retrain)
- Spread simulation, alert options, and all visual settings
💡 What Makes It Unique
- ✅ Self-optimization with virtual trades and perceptron logic
- ✅ Adaptive deviation bands based on ATR (not standard deviation)
- ✅ No built-in indicators, no repaints, no curve-fitting
- ✅ Clear trend zones and reversal signals
- ✅ Optimized for live use and consistent behavior across assets
Unlike typical moving average tools, Intelligent Moving thinks, adapts, and reacts — turning a standard concept into a living, learning trend engine.
📊 Use Cases
- Trend detection with adaptive coloring
- Reversion trading from volatility extremes
- Dynamic strategy building with minimal manual input
- Alerts for automated or discretionary traders
🔒 Invite-Only Notice
This script is invite-only and closed-source.
The optimization logic, trade simulation system, and perceptron engine were developed from scratch, specifically for this indicator. No built-in functions (e.g. MA, BB, RSI) or public scripts were used or copied.
All decisions and calculations are based on current and past price only — no repainting, retrofitting, or future leakage.
⚠️ Disclaimer
This indicator is for educational and analytical use only.
It does not predict future prices or guarantee profits. Always use appropriate risk management and test thoroughly before live trading.
ATR as % of CloseATR 14day period in % terms
the Normal ATR indicator by TV helps but this gives a clear idea as to the range in percentage terms as and when market rises to newer and newer highs
better than an absolute value
Fibonacci Range Detector ║ BullVision🔬 Overview
The Fibonacci Range Mapper is a dynamic technical tool designed to identify, track, and visualize price ranges using Fibonacci levels. Whether you're trading manually or prefer automated structure recognition, this indicator helps you contextualize market moves and locate key price zones with precision.
⚙️ Core Logic
🔍 Range Detection (Auto & Manual Modes)
In Auto mode, the indicator uses an advanced ZigZag system based on ATR or percentage thresholds to confirm market swings and construct Fibonacci-based ranges.
In Manual mode, traders can define their own swing low and high to generate precise custom ranges.
📐 Fibonacci Mapping
Each detected range is automatically plotted with key Fibonacci retracement levels — 0%, 25%, 50%, 75%, 100% — along with optional extensions (127.2% and 161.8%) to anticipate price continuations or reversals.
📋 Live Data Table
An integrated info panel dynamically displays crucial metrics:
• Range size
• Current price zone (Discount / Mid / Premium)
• Position within range (%)
• Distance to range extremes
• Range status (Pending or Confirmed)
🕰️ Historical Memory
Up to 20 past ranges can be stored and visualized simultaneously, helping traders recognize repeated price behaviors and contextual support/resistance levels.
🎨 Visual Highlights
Zones of interest (0–25% = Discount, 75–100% = Premium) are color-coded with custom transparency, and labels can be toggled for clarity. The current active range updates in real time as structure evolves.
🔧 User Customization
• Detection Method: Choose between ATR or % ZigZag for automated swing identification
• Confirmation Delay: Set how many bars to wait before confirming a new high
• Manual Overrides: Select exact price levels when you want full control
• Extensions & Labels: Toggle additional lines and info to suit your charting style
• Visual Table Position: Customize where the data table appears on screen
• Color Scheme: Define your own zone gradients for better visual interpretation
📈 Use Cases
This indicator is ideal for traders who want to:
• Identify value zones within local or macro price structures
• Plan trades around Fibonacci retracement and extension levels
• Detect shifts in market structure using an adaptive ZigZag logic
• Track recurring price ranges and historical reaction points
• Enhance technical confluence with clean, visual price mapping
⚠️ Important Notes
This tool is not a buy/sell signal generator — it is a visual framework for structure-based analysis.
Use it in conjunction with your existing strategy and risk management process.
Always confirm with broader context and multi-timeframe alignment.
Markov Chain Trend ProbabilityA Markov Chain is a mathematical model that predicts future states based on the current state, assuming that the future depends only on the present (not the past). Originally developed by Russian mathematician Andrey Markov, this concept is widely used in:
Finance: Risk modeling, portfolio optimization, credit scoring, algorithmic trading
Weather Forecasting: Predicting sunny/rainy days, temperature patterns, storm tracking
Here's an example of a Markov chain: If the weather is sunny, the probability that will be sunny 30 min later is say 90%. However, if the state changes, i.e. it starts raining, how the probability that will be raining 30 min later is say 70% and only 30% sunny.
Similar concept can be applied to markets price action and trends.
Mathematical Foundation
The core principle follows the Markov Property: P(X_{t+1}|X_t, X_{t-1}, ..., X_0) = P(X_{t+1}|X_t)
Transition Matrix :
-------------Next State
Current----
--------P11 P12
-----P21 P22
Probability Calculations:
P(Up→Up) = Count(Up→Up) / Count(Up states)
P(Down→Down) = Count(Down→Down) / Count(Down states)
Steady-state probability: π = πP (where π is the stationary distribution)
State Definition:
State = UPTREND if (Price_t - Price_{t-n})/ATR > threshold
State = DOWNTREND if (Price_t - Price_{t-n})/ATR < -threshold
How It Works in Trading
This indicator applies Markov Chain theory to market trends by:
Defining States: Classifies market conditions as UPTREND or DOWNTREND based on price movement relative to ATR (Average True Range)
Learning Transitions: Analyzes historical data to calculate probabilities of moving from one state to another
Predicting Probabilities: Estimates the likelihood of future trend continuation or reversal
How to Use
Parameters:
Lookback Period: Number of bars to analyze for trend detection (default: 14)
ATR Threshold: Sensitivity multiplier for state changes (default: 0.5)
Historical Periods: Sample size for probability calculations (default: 33)
Trading Applications:
Trend confirmation for entry/exit decisions
Risk assessment through probability analysis
Market regime identification
Early warning system for potential trend reversals
The indicator works on any timeframe and asset class. Enjoy!
Screener - Moving Average / ATR Breakout Signal [ARTech]Screener - Moving Average / ATR Breakout Signal
This indicator features a powerful multi-symbol screener that scans up to 40 user-defined symbols in real time for Moving Average (MA) and ATR breakout signals. Users can customize the list of symbols, select the asset class (e.g., Crypto, Stocks, Forex). The screener detects trend-following signals based on price crossing a chosen MA type and length, enhanced by optional ATR-based volatility filters and breakout thresholds to improve signal accuracy. Signals can be displayed on the chart via labels, tooltips, or a compact signal table, allowing traders to monitor multiple markets simultaneously without switching charts. The list of symbols generating signals can also be tracked with customizable alerts, enabling traders to receive real-time notifications for long and short breakout signals directly via TradingView alerts.
This indicator is developed based on the concept of Moving Average / ATR Breakout Signal script on TradingView, with enhancements to support multi-symbol scanning.
Key Features
• Multi-Symbol Screener: Scans up to 40 user-defined symbols simultaneously, with automatic separator detection and symbol validation.
• Repaint Prevention: Carefully designed to avoid repaint issues. The script structure and signal logic have been built to ensure reliable behavior, even across multiple symbols and varying chart conditions.
• Flexible Signal Display: Offers chart labels, tooltips, or a compact table to show signals, enabling multi-market monitoring without switching charts.
• Customizable Alerts: Supports alerts for both long and short signals, sending a list of symbols generating signals as real-time notifications.
• Multi-Type Moving Average Support: Choose from several MA types including EMA, SMA, Hull MA, VWMA, RMA, and TEMA, with customizable source and length settings.
• Flexible Signal Logic: Generates signals when price breaks above or below the selected MA, with options for confirmation candles and wick or close based breakout detection.
• ATR-Based Filtering: Utilizes ATR to create dynamic breakout bands around the MA, reducing noise and improving breakout validation.
• Breakout Threshold Filtering: Adds an optional minimum percentage price move before a new opposite signal is allowed, preventing rapid reversals.
Why use this indicator?
• Scans up to 40 symbols at the same time.
• Users can define the symbol list, asset class, and automatically detects the symbol separator; warns if any symbols are invalid
• Detected signals are shown directly on the chart as labels, tooltips, or in a compact table.
• The list of signal-generating symbols can be tracked with alerts — no need to watch the chart constantly.
How to Use
███████ Alerts ███████
🔸 Long / Short
To enable Custom Alerts, select the desired alert type (Long or Short) from the indicator's settings under the "Alerts" section, you can customize messages and enable notifications for Long and Short signals. Then, you need to activate the fx alert() function call option in TradingView’s alert creation dialog.
Alert messages include your custom message followed by a list of symbols currently giving signals, each shown on a new line. For example, if your input message is set to “🟢 Long Signal” and BTCUSD and ETHUSD are signaling, the alert will look like this:
🟢 Long Signal
BTCUSD
ETHUSD
This format helps you clearly see the type of signal and each symbol individually, making real-time monitoring easier.
🔸 Alert Delay (seconds)
This setting adds a delay before alerts are triggered. It helps ensure that signals are based on confirmed bar closures for slight timing differences between symbol data feeds (especially in multi-symbol mode). For example, setting a 30-second delay allows all symbols to finish processing before the alert fires, avoiding early or incomplete signal lists.
For best results, try different delay values to see what works best with your selected timeframe.
███████ Display / Signal ███████
🔸 Display Mode
Choose how the indicator presents signals on your chart. Focus on a single symbol (Chart mode), Scan and display multiple symbols at once (Screener mode), or hide visuals and use only tables or alerts (No mode).
• Chart Mode: Displays signals only for the current chart symbol. Useful for testing and optimizing signal conditions before scanning multiple assets.
• Screener Mode: Activates the screener functionality, showing results for all valid symbols in your list. Signals appear as labels on the chart and are also listed in the signal table for easy tracking.
• No (Table Only): Hides all on-chart visuals (labels, markers). Signals are still processed and can be viewed in tables or used with alerts. This mode is ideal when you're using multiple screeners at once and want to avoid overlapping visuals. Each screener can display its results in separate table positions (e.g., bottom right, top left, etc.), so turning off chart visuals helps keep your workspace clean while still tracking multiple symbol groups efficiently. This way, you can also track more than 40 symbols by using multiple screener instances with different symbol groups and table positions.
🔸 Long
You can independently turn ON or OFF the display of Long signals using the toggle.
🔸 Short
You can independently turn ON or OFF the display of Short signals using the toggle.
███████ Symbols ███████
🔸 Symbols
You can enter up to 40 symbols. Symbols must be written in full format. For example: BINANCE:BTCUSDT, NASDAQ:AAPL, or OANDA:EURUSD. TradingView requires this full format to correctly recognize each symbol. Due to TradingView’s limitations, only the first 40 symbols in your list will be processed
- Separator Rules: Letters (A–Z), numbers (0–9), underscore (_), dot (.), and exclamation mark (!) are allowed within symbol names (e.g., BINANCE:BTCUSDT.P). Therefore, avoid using them as separators. Instead, use comma (,) , semicolon (;) , space , or newline to separate multiple symbols.
- Auto Detection: The indicator automatically detects the separator used in your list. If the format is incorrect or a symbol is invalid, a warning will appear to help you fix it.
🔸 Symbol Filter
When scanning multiple symbols, it's important that they belong to the same market type (Crypto, Stocks, Forex, etc.). Different markets have different trading hours, and mixing them may cause issues.
For example, if your chart is using a stock symbol (like NASDAQ:AAPL) and your symbol list includes crypto symbols (like BINANCE:BTCUSDT), the screener may not work correctly. Since stock markets are not open 24/7, the chart time may fall outside of crypto trading hours — causing crypto signals to fail or not update properly.
To avoid this issue, the indicator includes a Symbol Filter. This lets you filter your symbol list to include only the correct asset type (e.g., only Crypto or only Stocks). By using this filter, you make sure the screener runs under the correct market conditions and avoids signal mismatches.
If you set the filter to None , no filtering will be applied. In this case, you are responsible for making sure all listed symbols match your chart’s market type.
For best results, always use symbols from the same market type as your chart symbol. This ensures that candle open/close times align across all symbols, avoiding timing mismatches. Symbols and the chart must follow the same market hours for accurate and consistent signal generation.
🔸 Show Symbols on Table
This feature helps you quickly review the symbols you've entered. When enabled, a table appears in the bottom-right corner of the chart displaying all symbols from your list along with their market types and statuses
- Green background: Symbol is valid and matches the selected Symbol Filter. It can generate signals.
- Gray background: Symbol is valid but does not match the selected filter. It will not generate signals.
- Red background: Symbol is invalid (e.g., due to incorrect names, delisting, or unsupported by broker).
You don’t need to remove invalid or mismatched symbols, but no signals will be generated for them. This visual check makes it easier to catch symbol issues before relying on the screener output.
███████ Signal Display Style ███████
🔸 Display Method
Choose how signals will be shown visually
• Label: The signal appears as a label on the candle. The label includes all triggering symbols as text.
• Tooltip: An icon (such as 🟢 or 🔴) is shown instead of full text. Hold your mouse pointer on the icon on chart for a few seconds to see a tooltip listing the triggered symbols. This method keeps your chart cleaner and less cluttered.
• None: No visual markers appear on candles. Signals are only visible in the signal table — ideal if you're using multiple indicators and want to avoid chart clutter.
🔸 Symbol Display Format
This setting affects the labels, tooltips, signal table, and alert messages, ensuring consistency across all displays. Select whether you want symbols to appear as:
• EXCHANGE:SYMBOL: BINANCE:BTCUSDT
• SYMBOL: BTCUSDT
🔸 Long Signal Icon
Used only in Tooltip mode, these icons (e.g., 🟢 for Long) appear on bars where signals are detected. Customize it freely to match your style or strategy.
🔸 Short Signal Icon
Used only in Tooltip mode, these icons (e.g., 🔴 for Short) appear on bars where signals are detected. Customize it freely to match your style or strategy.
🔸 Size
Adjust the visual size of labels or tooltips. Smaller sizes help reduce clutter when many signals trigger in close proximity.
███████ Signal Table ███████
This section controls the appearance and behavior of the signal table that displays last detected Long and Short signals for your symbols.
🔸 Show
Enable or disable the signal table display on the chart.
🔸 Highlight Signal Duration (Bars)
When a signal occurs, the corresponding cell in the table is highlighted using the selected Long or Short color for this many bars. This helps visually track recent signals over time. The bar where the signal icon appears is counted as 1.
🔸 Table Size
Choose the size of the table to fit your chart layout and readability preferences.
🔸 Table Position
Select where the table appears on your chart (e.g., top right, middle right, bottom left).
🔸 Title
Customize the table header text. The default is “Recent Signals”.
🔸 Background Color
Set the table’s background color and transparency to match your chart’s theme.
🔸 Long Signal Color
Choose the highlight color used to mark Long signals within the table.
🔸 Short Signal Color
Choose the highlight color used to mark Short signals within the table.
🔸 Text Color
Customize the text color inside the table for better contrast and readability.
🔸 Show Bars Since Signal
Optionally display how many bars have passed since each signal appeared. The bar where the signal occurs counts as 1.
███████ Signal ███████
This is the core component of the signal system. You can customize:
🔸 Moving Average Type
Choose from SMA, EMA, WMA, Hull MA, VWMA, RMA, or TEMA
🔸 Length
Adjust the length to suit your strategy.
🔸 Source
Select which price data (e.g., Close, Open, HL2) is used to calculate the MA.
🔸 Confirm Candles
Defines the number of consecutive candles that must break the selected level to confirm a signal.
– If ATR filter is enabled, this level is the ATR bands.
– If ATR is disabled, the Moving Average line is used.
This helps filter out noise and avoid premature signals.
🔸 Break Type
Specifies how the candle must break the level:
– Close: The candle must close beyond the level.
– Wick: A wick touching or exceeding the level is enough.
Both options generate signals only after the candle has closed.
🔸 Filter
This section provides optional filters to improve signal accuracy.
ATR
When the ATR filter is enabled, signals are generated only if the price breaks above the upper ATR line or below the lower ATR line—calculated by adding or subtracting the ATR multiplied threshold from the moving average—and the breakout must occur for the number of consecutive confirmation candles specified by the user input . This helps reduce false signals during low volatility periods.
• Multiplier: Adjusts the width of ATR bands by multiplying the ATR value.
• Length: Sets the period for ATR calculation.
• Smoothing: Selects the smoothing method applied to the ATR (RMA, SMA, EMA, WMA).
Breakout
When enabled, breakout confirmation requires the price to cross above the upper breakout line or below the lower breakout line by a specified percentage from the last signal price.
• Threshold (%): Defines the minimum percentage price movement required to validate a breakout.
• Show Breakout Levels: Toggle to display or hide breakout threshold area on the chart.
PRO Investing - Apex EnginePRO Investing - Apex Engine
1. Core Concept: Why Does This Indicator Exist?
Traditional momentum oscillators like RSI or Stochastic use a fixed "lookback period" (e.g., 14). This creates a fundamental problem: a 14-period setting that works well in a fast, trending market will generate constant false signals in a slow, choppy market, and vice-versa. The market's character is dynamic, but most tools are static.
The Apex Engine was built to solve this problem. Its primary innovation is a self-optimizing core that continuously adapts to changing market conditions. Instead of relying on one fixed setting, it actively tests three different momentum profiles (Fast, Mid, and Slow) in real-time and selects the one that is most synchronized with the current price action.
This is not just a random combination of indicators; it's a deliberate synthesis designed to create a more robust momentum tool. It combines:
Volatility analysis (ATR) to generate adaptive lookback periods.
Momentum measurement (ROC) to gauge the speed of price changes.
Statistical analysis (Correlation) to validate which momentum measurement is most effective right now.
Classic trend filters (Moving Average, ADX) to ensure signals are only taken in favorable market conditions.
The result is an oscillator that aims to be more responsive in volatile trends and more stable in quiet periods, providing a more intelligent and adaptive signal.
2. How It Works: The Engine's Three-Stage Process
To be transparent, it's important to understand the step-by-step logic the indicator follows on every bar. It's a process of Adapt -> Validate -> Signal.
Stage 1: Adapt (Dynamic Length Calculation)
The engine first measures market volatility using the Average True Range (ATR) relative to its own long-term average. This creates a volatility_factor. In high-volatility environments, this factor causes the base calculation lengths to shorten. In low-volatility, they lengthen. This produces three potential Rate of Change (ROC) lengths: dynamic_fast_len, dynamic_mid_len, and dynamic_slow_len.
Stage 2: Validate (Self-Optimizing Mode Selection)
This is the core of the engine. It calculates the ROC for all three dynamic lengths. To determine which is best, it uses the ta.correlation() function to measure how well each ROC's movement has correlated with the actual bar-to-bar price changes over the "Optimization Lookback" period. The ROC length with the highest correlation score is chosen as the most effective profile for the current moment. This "active" mode is reflected in the oscillator's color and the dashboard.
Stage 3: Signal (Normalized Velocity Oscillator)
The winning ROC series is then normalized into a consistent oscillator (the Velocity line) that ranges from -100 (extreme oversold) to +100 (extreme overbought). This ensures signals are comparable across any asset or timeframe. Signals are only generated when this Velocity line crosses its signal line and the trend filters (explained below) give a green light.
3. How to Use the Indicator: A Practical Guide
Reading the Visuals:
Velocity Line (Blue/Yellow/Pink): The main oscillator line. Its color indicates which mode is active (Fast, Mid, or Slow).
Signal Line (White): A moving average of the Velocity line. Crossovers generate potential signals.
Buy/Sell Triangles (▲ / ▼): These are your primary entry signals. They are intentionally strict and only appear when momentum, trend, and price action align.
Background Color (Green/Red/Gray): This is your trend context.
Green: Bullish trend confirmed (e.g., price above a rising 200 EMA and ADX > 20). Only Buy signals (▲) can appear.
Red: Bearish trend confirmed. Only Sell signals (▼) can appear.
Gray: No clear trend. The market is likely choppy or consolidating. No signals will appear; it is best to stay out.
Trading Strategy Example:
Wait for a colored background. A green or red background indicates the market is in a tradable trend.
Look for a signal. For a green background, wait for a lime Buy triangle (▲) to appear.
Confirm the trade. Before entering, confirm the signal aligns with your own analysis (e.g., support/resistance levels, chart patterns).
Manage the trade. Set a stop-loss according to your risk management rules. An exit can be considered on a fixed target, a trailing stop, or when an opposing signal appears.
4. Settings and Customization
This script is open-source, and its settings are transparent. You are encouraged to understand them.
Synaptic Engine Group:
Volatility Period: The master control for the adaptive engine. Higher values are slower and more stable.
Optimization Lookback: How many bars to use for the correlation check.
Switch Sensitivity: A buffer to prevent frantic switching between modes.
Advanced Configuration & Filters Group:
Price Source: The data source for momentum calculation (default close).
Trend Filter MA Type & Length: Define your long-term trend.
Filter by MA Slope: A key feature. If ON, allows for "buy the dip" entries below a rising MA. If OFF, it's stricter, requiring price to be above the MA.
ADX Length & Threshold: Filters out non-trending, choppy markets. Signals will not fire if the ADX is below this threshold.
5. Important Disclaimer
This indicator is a decision-support tool for discretionary traders, not an automated trading system or financial advice. Past performance is not indicative of future results. All trading involves substantial risk. You should always use proper risk management, including setting stop-losses, and never risk more than you are prepared to lose. The signals generated by this script should be used as one component of a broader trading plan.
% / ATR Buy, Target, Stop + Overlay & P/L% / ATR Buy, Target, Stop + Overlay & P/L
This tool combines volatility‑based and fixed‑percentage trade planning into a single, on‑chart overlay—with built‑in profit‑and‑loss estimates. Toggle between ATR or percentage modes, plot your Buy, Target and Stop levels, and see the dollar gain or loss for a specified position size—all in one interactive table and chart display.
NOTE: To activate plotted lines, price labels, P/L rows and table values, enter a Buy Price greater than zero.
What It Does
Mode Toggle: Choose between “ATR” (volatility‑based) or “%” (fixed‑percentage) calculations.
Buy Price Input: Manually enter your entry price.
ATR Mode:
Target = Buy + (ATR × Target Multiplier)
Stop = Buy − (ATR × Stop Multiplier)
Percentage Mode:
Target = Buy × (1 + Target % / 100)
Stop = Buy × (1 – Stop % / 100)
P/L Estimates: Specify a dollar amount to “invest” at your Buy price, and the script calculates:
Gain ($): Profit if Target is hit
Loss ($): Cost if Stop is hit
Visual Overlay: Draws horizontal lines for Buy, Target and Stop, with optional price labels on the chart scale.
Interactive Table: Displays Buy, Target, Stop, ATR/timeframe info (in ATR mode), percentages (in % mode), and P/L rows.
Customization Options
Line Settings:
Choose color, style (solid/dashed/dotted), and width for Buy, Target, Stop lines.
Extend lines rightward only or in both directions.
Table Settings:
Position the table (top/bottom × left/right).
Toggle individual rows: Buy Price; Target (multiplier or %); Stop (multiplier or %); Target ATR %; Stop ATR %; ATR Time Frame; ATR Value; Gain ($); Loss ($).
Customize text colors for each row and background transparency.
General Inputs:
ATR length and optional ATR timeframe override (e.g. use daily ATR on an intraday chart).
Target/Stop multipliers or percentages.
Dollar Amount for P/L calculations.
How to Use It for Trading
Plan Your Entry: Enter your intended Buy Price and position size (dollar amount).
Select Mode: Toggle between ATR or % mode depending on whether you prefer volatility‑based or fixed offsets.
Assess R:R and P/L: Instantly see your Target, Stop levels, and potential profit or loss in dollars.
Visual Reference: Lines and price labels update in real time as you tweak inputs—ideal for live trading, backtesting or trade journaling.
Ideal For
Traders who want both volatility‑based and percentage‑based exit options in one tool
Those who need on‑chart P/L estimates based on position size
Swing and intraday traders focused on objective, rule‑based trade management
Anyone who uses ATR for adaptive stops/targets or fixed percentages for simpler exits
Trendex SignalSuite by JaeheeTrendex SignalSuite — by Jaehee
An all-in-one visual signal system designed to clearly display entry signals, profit/loss zones, and short-term momentum in one clean layout.
Key Features
- ATR-based trailing logic generates long and short signals after momentum shifts
- Auto-drawing TP/SL boxes with exact price levels and percentage labels
- Fixed risk-reward system for each position, calculated using ATR
- Elegant twisted ribbon that flows with price trend and adds visual direction
- Signal markers (✧) appear when price crosses the adaptive trailing line
How to Use
Watch for ✧ symbols to enter trades.
Each signal draws a complete risk zone (entry, TP, SL) for intuitive trade management.
Ribbons support directional bias; boxes help estimate risk/reward visually.
- Designed for discretionary trading
- Signal-based only — no alerts
- Does not repaint
⚠️ This indicator is not a strategy and does not support automated trading.
It is intended for educational purposes and discretionary trade planning, by visually displaying entry, take-profit, and stop-loss zones, for manual use only.
