Bollinger Bands Forecast [QuantAlgo]🟢 Overview
Bollinger Bands are widely recognized for mapping volatility boundaries around price action, but they inherently lag behind market movement since they calculate based on completed bars. The Bollinger Bands Forecast addresses this limitation by adding a predictive layer that attempts to project where the upper band, lower band, and basis line might position in the future. The indicator provides three unique analytical models for generating these projections: one examines swing structure and breakout patterns, another integrates volume flow and accumulation metrics, while the third applies statistical trend fitting. Traders can select whichever methodology aligns with their market view or trading style to gain visibility into potential future volatility zones that could inform position planning, risk management, and timing decisions across various asset classes and timeframes.
🟢 How It Works
The core calculation begins with traditional Bollinger Bands: a moving average basis line (configurable as SMA, EMA, SMMA/RMA, WMA, or VWMA) with upper and lower bands positioned at a specified number of standard deviations away. The forecasting extension works by first generating predicted price values for upcoming bars using the selected method. These projected prices then feed into a rolling calculation that simulates how the basis line would update bar by bar, respecting the mathematical properties of the chosen moving average type. As each new forecasted price enters the calculation window, the oldest historical price drops out, mimicking the natural progression of the moving average. The system recalculates standard deviation across this evolving price window and applies the multiplier to determine where upper and lower bands would theoretically sit. This process repeats for each of the forecasted bars, creating a connected chain of potential future band positions that render as dashed lines on the chart.
🟢 Key Features
1. Market Structure Model
This forecasting approach interprets price through the lens of swing analysis and structural patterns. The algorithm identifies pivot highs and lows across a definable lookback window, then tracks whether price is forming higher highs and higher lows (bullish structure) or lower highs and lower lows (bearish structure). The system looks for break of structure (BOS) when price pushes beyond a previous swing point in the trending direction, or change of character (CHoCH) when price starts creating opposing swing patterns.
When projecting future prices, the model considers current distance from recent swing levels and the strength of the established trend (measured by counting higher highs versus lower lows). If bullish structure dominates and price sits near a swing low, the forecast biases upward. Conversely, bearish structure near a swing high produces downward bias. ATR scaling ensures the projection magnitude relates to actual market volatility.
Practical Implications for Traders:
Useful when you trade based on swing points and structural breaks
The Structure Influence slider (0 to 1) lets you dial in how much weight structure analysis carries versus pure trend
Helps visualize where bands could form around key structural levels you're watching
Works better in trending conditions where structure patterns are clearer
Might be less effective in choppy, sideways markets without defined swings
2. Volume-Weighted Model
This method attempts to incorporate volume flow into the price forecast. It combines three volume-based metrics: On-Balance Volume (OBV) to track cumulative buying/selling pressure, the Accumulation/Distribution Line to measure money flow, and volume-weighted price changes to emphasize moves that occur on high volume. The algorithm calculates the slope of these indicators to determine if volume is confirming price direction or diverging from it.
Volume spikes above a configurable threshold are flagged as potentially significant, with the direction of the spike (whether it occurred on an up bar or down bar) influencing the forecast. When OBV, A/D Line, and volume momentum all align in the same direction, the model projects stronger moves. When they conflict or show weak volume support, the forecast becomes more conservative.
Practical Implications for Traders:
Relevant if you use volume analysis to confirm price moves
More meaningful in markets with reliable volume data
The Volume Influence parameter (0 to 1) controls how much volume factors into the projection
Volume Spike Threshold adjusts sensitivity to what constitutes unusual volume
Helps spot scenarios where volume doesn't support a move, suggesting possible consolidation
Might be less effective in low-liquidity instruments or markets where volume reporting is unreliable
3. Linear Regression Model
The simplest of the three methods, linear regression fits a straight line through recent price data using least-squares mathematics and extends that line forward. This creates a clean trend projection without conditional logic or interpretation of market characteristics. The forecast simply asks: if the recent trend continues at its current rate of change, where would price be in 10 or 20 bars?
Practical Implications for traders:
Provides a neutral, mathematical baseline for comparison
Works well when trends are steady and consistent
Can be useful for backtesting since results are deterministic
Requires minimal configuration beyond lookback period
Might not adapt to changing market conditions as dynamically as the other methods
Best suited for trending markets rather than ranging or volatile conditions
🟢 Universal Applications Across All Models
Regardless of which forecasting method you select, the indicator projects future Bollinger Band positions that may help with:
▶ Pre-planning entries and exits: See where potential support (lower band) or resistance (upper band) might develop before price gets there
▶ Volatility context: Observe whether forecasted bands are widening (suggesting potential volatility expansion) or narrowing (possible compression or squeeze setup)
▶ Target setting: Reference projected band levels when determining profit targets or stop placement
▶ Mean reversion scenarios: Visualize potential paths back toward the basis line when price extends to a band extreme
▶ Breakout anticipation: Consider where upper or lower bands might sit if price begins a strong directional move
▶ Strategy development: Build trading rules around forecasted band interactions, such as entering when price is projected to return to the basis or exit when forecasts show band expansion
▶ Method comparison: Switch between the three forecasting models to see if they agree or diverge, potentially using consensus as a confidence filter
It's critical to understand that these forecasts are projections based on recent market behavior. Markets are complex systems influenced by countless factors that cannot be captured in a technical calculation or predicted perfectly. The forecasted bands represent one possible scenario of how volatility might unfold, so actual price action may still diverge from these projections. Past performance and historical patterns provide no assurance of future results. Use these forecasts as one input within a broader trading framework that includes proper risk management, position sizing, and multiple forms of analysis. The value lies not in prediction accuracy but in helping you think probabilistically about potential market states and plan accordingly.
Forecasting
Kalkulator pozycji XAUUSD PLN, 1:500, 1100 to 100 kontaPosition calculator based on the number of pips that you quickly enter from the tool, this device will select the appropriate lot for you and you can quickly take a position
Volume and Volatility Crisis Detector Volume + Volatility Crisis Detector Pro
Created by Alphaomega18
🎯 What is the Crisis Detector Pro?
The Volume + Volatility Crisis Detector Pro is an advanced indicator that combines:
8-Level Volume Analysis: Progressive detection of volume anomalies
Hedging Index: Measurement of institutional fear and protection activity
Progressive Crisis Detection: Identification of pre-crisis patterns like 1987 and 2008
📊 Indicator Components
1️⃣ Volume Ratio
Description:
Compares current volume to its 20-period moving average
Normal value: ~1.0 (volume = average)
High value: >2.0 (volume double the average)
Extreme value: >3.0 (volume triple the average)
8-Level Classification:
LevelRatioColorMeaning1< 1.25x⚪ GrayNormal volume21.25-1.5x🟢 GreenEarly alert31.5-1.75x🟡 Light YellowLight increase41.75-2.0x🟡 YellowModerate52.0-2.25x🟠 OrangeSignificant62.25-2.5x🟠 Dark OrangeVery high72.5-3.0x🔴 RedExtreme8> 3.0x🔴 Bright RedCRISIS
2️⃣ Hedging Index
Description:
Estimates institutional hedging activity (protection buying)
Based on: Weighted bearish volume + ATR volatility
Scale: 0.3 to 2.5 (like a Put/Call ratio)
Hedging Levels:
ValueColorMeaning< 0.7🟢 GreenNormal hedging0.7-1.0🟡 YellowElevated hedging1.0-1.3🟠 OrangeHigh hedging> 1.3🔴 RedPANIC - Extreme hedging
Interpretation:
Rising hedging = Institutions protecting → Market fear
Falling hedging = Confidence returning → Possible rebound
⚙️ Main Parameters
Calculations:
Moving Average Period: 20 (reference period for averages)
Volume Classification (8 Levels):
Level 1: 1.25x (early alert)
Level 2: 1.5x (light increase)
Level 3: 1.75x (moderate)
Level 4: 2.0x (significant)
Level 5: 2.25x (high)
Level 6: 2.5x (very high)
Level 7: 3.0x (extreme)
Level 8: > 3.0x (crisis)
Hedging:
Enable Hedging Detection: Enable/disable hedging index
Hedging Period: 14 (smoothing period)
Display:
Show Signals: Display visual signals
📈 Visual Elements
Main Lines:
Volume Ratio (thick colored line): Current volume ratio vs average
🛡️ Hedging Index (thick colored line): Institutional hedging index
Horizontal Threshold Lines:
For Volume:
1.0 = Normal (thick gray line)
1.25 = Level 1 (green dashed)
1.5 = Level 2 (yellow dashed)
2.0 = Level 4 (orange dashed)
3.0 = Level 7 (red dashed)
For Hedging:
0.7 = Normal (thin green dashed)
1.0 = High (thin orange dashed)
1.3 = PANIC (thin red dashed)
Visual Signals:
🔴 Red triangle: Extreme volume (level 7-8)
🟠 Orange triangle: High volume (level 5-6)
🟡 Yellow triangle: Moderate volume (level 3-4)
Colored Background:
Transparent red: Extreme volume or panic hedging
🎯 How to Use the Indicator
1. Installation
Open TradingView
Click "Indicators" at top of chart
Click "Pine Editor" at bottom
Paste the code
Click "Add to Chart"
2. Reading the Chart
Volume Ratio (main line):
Around 1.0 = Normal volume, no alert
Between 1.25 and 2.0 = Volume increasing, watch closely
Above 2.0 = Abnormal volume, strong activity
Above 3.0 = CRISIS - Extreme volume
Hedging Index (hedging line):
Around 0.7 = Calm market
Rising toward 1.0 = Growing nervousness
Above 1.3 = Institutional PANIC
3. Trading Strategies
🟢 Scalping/Day Trading:
Volume Ratio > 2.0:
Scalping opportunity in direction of movement
Quick entries with tight stops
Exit on activity spikes
Hedging Index > 1.0:
Nervous market = bounce opportunities
Wait for confirmation before entering
🟠 Swing Trading:
Volume Ratio > 2.5:
Avoid opening new swing positions
Protect existing positions (trailing stops)
Wait for return to normal (< 1.5)
Hedging Index > 1.3:
Panic = possible capitulation
Look for reversal opportunities
Wait for hedging to drop
🔴 Risk Management:
Volume RatioHedging IndexRecommended Action< 1.5< 0.7Normal trading1.5-2.00.7-1.0Increased monitoring2.0-3.01.0-1.3Reduce exposure 50%> 3.0> 1.3STOP trading / Protection
4. Crisis Patterns (1987/2008 Style)
Pre-Crisis Pattern:
Volume staying above 1.5x for 5+ days
With 3+ days above 2.0x
= Stress accumulation before explosion
Crisis Building Pattern:
5+ consecutive days above 2.0x
Hedging rising progressively
= Crisis is building
Immediate Crisis Pattern:
Volume > 3.0x
Hedging > 1.3
= Widespread PANIC
🔔 Configurable Alerts
The indicator includes 6 main alerts:
🟢 Level 1: First volume anomaly (1.25x)
🔴 Level 6+: Very high volume (2.25x+)
🔴🔴 CRISIS: Extreme volume (3.0x+)
🛡️ PANIC HEDGING: Panic hedging (1.3+)
Configuration:
Right-click on chart
"Create Alert"
Condition: Select desired alert
Options: Set frequency
Actions: Email, notification, webhook, etc.
💡 Real Use Cases
Example 1: Flash Crash
Volume Ratio: 4.5 (🔴)
Hedging Index: 1.8 (🔴)
Signal: EXTREME CRISIS
Action: Full protection, no new trades
Example 2: Fed Announcement
Volume Ratio: 2.3 (🟠)
Hedging Index: 1.1 (🟠)
Signal: High volume and hedging
Action: Reduce positions, wide stops
Example 3: Technical Squeeze
Volume Ratio: 2.8 (🔴)
Hedging Index: 0.9 (🟡)
Signal: Breakout without panic
Action: Follow movement with confirmation
Example 4: Capitulation
Volume Ratio: 3.5 (🔴)
Hedging Index: 1.5 → 0.8 (rapid drop)
Signal: Panic then relief
Action: Look for bounce opportunities
🔧 Parameter Optimization
Scalping (1-5 min):
Moving Average Period: 10
Level 1: 1.2x
Level 4: 1.8x
Level 7: 2.5x
Hedging Period: 7
Day Trading (15min-1H):
Moving Average Period: 20 (default)
All thresholds: Default
Hedging Period: 14 (default)
Swing Trading (4H-Daily):
Moving Average Period: 30-50
Level 1: 1.3x
Level 4: 2.2x
Level 7: 3.5x
Hedging Period: 20
Crypto (Very volatile):
Moving Average Period: 20
Level 1: 1.5x
Level 4: 2.5x
Level 7: 4.0x
Hedging Period: 14
⚠️ Limitations and Best Practices
❌ Limitations:
Hedging is estimated, not based on real Put/Call data
May give false signals in very volatile markets
Requires significant volume to be reliable
✅ Best Practices:
Always combine with classic technical analysis
Never trade solely on alerts
Adapt thresholds to your asset and timeframe
Backtest before using live
Respect your risk management plan
Golden Rule:
"The indicator detects anomalies, not direction. Always wait for confirmation before entering positions."
📈 Performance and Compatibility
✅ Real-time: Instant detection (0 lag)
✅ All markets: Stocks, Futures, Forex, Crypto
✅ All timeframes: 1min to Monthly
✅ Lightweight: Optimized, no slowdown
✅ Multi-platform: TradingView web, mobile, desktop
🎓 Historical Crises
1987 - Black Monday:
Volume Ratio: x5-x10 for several days
Pattern: Progressive increase then explosion
2008 - Lehman Brothers:
Volume Ratio: x3-x7 for weeks
Hedging: Historical record
Pattern: Prolonged stress then panic
2020 - COVID Crash:
Volume Ratio: x4-x8 in few days
Pattern: Rapid fall with intense panic
2022 - Crypto Winter:
Volume Ratio: x2-x4 over several months
Pattern: Successive capitulations
Goldfishyes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite
Alloyz Traders_RSI by Sagar BRSI for Intraday purpose with moving average and volume weightage price added in RSI.
AI Exclusive(Precision Entry)AI Exclusive (Precision Entry)
Overview: An indicator that provides precise entry signals along with defined Take Profit (TP) and Stop Loss (SL).
Benefits:
• Confident entries with built in risk management
• Clear TP and SL displayed on the chart
• Suitable for both beginner and professional traders
Features:
• Transparent, unambiguous signals
• Usable on all symbols and timeframes
• Visual design with colored lines and clear labels
AI Exclusive(Precision Entry)AI Exclusive (Precision Entry)
Overview: An indicator that provides precise entry signals along with defined Take Profit (TP) and Stop Loss (SL).
Benefits:
• Confident entries with built in risk management
• Clear TP and SL displayed on the chart
• Suitable for both beginner and professional traders
Features:
• Transparent, unambiguous signals
• Usable on all symbols and timeframes
• Visual design with colored lines and clear labels
PopGun Detector – Trigger + 5. CandleSimple module for the popguns.
It detects PGs, marks them (trigger points), and shows the 5th candle.
This way, you don’t have to search for a long time in the chart – you can easily go through the different timeframes and specifically look for the popguns.
主流币种中长线趋势系统This script is a comprehensive trading system designed for medium-to-long-term analysis of mainstream assets. It combines custom volatility algorithms, trend momentum filters, and market structure analysis to identify high-probability reversal points (Tops/Bottoms) and trend-following entry opportunities.
It eliminates market noise and provides clear visual signals, making it suitable for traders looking to capture major market swings without staring at the screen 24/7.
这是一个专为主流资产中长线交易设计的综合分析系统。它融合了自定义的波动率算法、趋势动量过滤器以及市场结构分析,旨在识别高胜率的趋势反转点(顶/底)以及右侧顺势入场机会。
本系统有效过滤了市场噪音,提供清晰的视觉信号,非常适合希望捕捉市场主升浪/主跌浪的交易者。
How to Use / 信号使用说明
The system provides three layers of information: Reversal Warnings, Trend Confirmations, and Key Levels.
本系统提供三个维度的信息:反转预警、趋势确认、关键位结构。
1. Reversal Signals (Top & Bottom) / 顶底反转信号
These signals appear when the market is overheated or oversold based on our proprietary composite algorithm.
这些信号出现在市场极度贪婪或恐慌的时刻,基于独家的复合算法计算得出。
"底" (Bottom) Label (Green): Indicates a potential market bottom or accumulation zone. It suggests that downside momentum is exhausted.
"底"(绿色标签): 提示潜在的市场底部或吸筹区,意味着下跌动能衰竭,是左侧关注买入机会的参考。
"顶" (Top) Label (Red): Indicates a potential market top or distribution zone. It suggests that upside momentum is unsustainable.
"顶"(红色标签): 提示潜在的市场顶部或派发区,意味着上涨动能不可持续,是左侧止盈或减仓的参考。
2. Trend Entry Signals (Circles) / 趋势入场信号 (圆点)
These signals are generated only when the trend direction is confirmed and multiple filters align.
只有在趋势方向明确,且多个动量过滤器发生共振时,才会触发此类信号。
Green Circle: Confirmed Long entry. Best used when price action breaks out of consolidation or resumes an uptrend.
绿色圆点: 确认的多头入场信号。通常在价格突破盘整或上升趋势延续时出现,适合右侧顺势交易。
Red Circle: Confirmed Short entry. Indicates the start or continuation of a bearish trend.
红色圆点: 确认的空头入场信号。预示着下跌趋势的开始或延续。
3. Market Structure (Boxes & Lines) / 市场结构 (方框与线条)
Boxes: These represent institutional Order Blocks (Support/Resistance zones).
方框: 代表机构的关键订单块区域(强支撑/压力区)。
Lines: These visualize Break of Structure (BOS) or Change of Character (CHoCH), helping you understand the current market phase.
线条: 可视化显示市场结构的破坏与反转,帮助你判断当前是处于上涨结构还是下跌结构中。
Settings & Optimization / 设置与优化
Signal Mode (辅助提示模式):
Conservative (保守模式): Fewer signals, higher precision. Best for risk-averse traders.
Balanced (平衡模式): Default setting, balanced between frequency and accuracy.
Aggressive/Demon (激进/恶魔模式): More signals, captures smaller swings but with more noise.
Trade Mode (交易模式): You can choose to display signals for "Both Sides", "Long Only", or "Short Only" to fit your strategy.
Alerts / 警报系统
The script supports real-time alerts. When a signal is triggered, the alert message will also intelligently calculate and include the nearest Pressure (Resistance) and Support price levels based on current market structure.
脚本支持实时警报。当信号触发时,警报消息还会智能计算并附带当前最近的压力位和支撑位价格,方便挂单。
此版本有效期至2026年1月
Disclaimer / 免责声明
This script is for educational and analytical purposes only. Past performance does not guarantee future results. Please manage your risk strictly.
本脚本仅供教育和分析使用。过往表现不代表未来结果。请严格管理您的风险。
RS Rating Vietnam - IBD Style (AlphaStock Edition)Description: This implies the Relative Strength (RS) Rating specifically optimization for the Vietnam Stock Market, inspired by Investor's Business Daily (IBD) methodology.
How it works: Unlike the standard RSI (which measures internal momentum), this RS Rating compares a stock's performance against a benchmark index (Reference Index: VNMIDCAP or VNINDEX) over the last 12 months.
Calculation Formula: The rating is based on weighted performance (ROC):
40% weight: Latest 3 months (1 Quarter)
20% weight: 6 months
20% weight: 9 months
20% weight: 12 months
Features:
Auto-Scaling RS Line: The line automatically adjusts to fit the price chart, removing the need for manual fixed scales.
Benchmark Comparison: Compares stock Alpha vs. VNMIDCAP (default) to detect leaders even when the general market is skewed by large-cap stocks.
Color Coded:
Purple: Rating > 90 (Strong Buy/Leader)
Green: Rating > 80
Yellow: Rating > 60
Red: Rating < 60
Smart Display: Shows historical Rating values in the Data Window when hovering over past candles.
Credits: Designed by Admin AlphaStock.
RS Rating Viet Nam by Admin AlphaStockSo sanh vs VNMIDCAP
Bạn có thể thay đổi BenchMark trong Code thành VNINDEX hay bất kỳ chỉ số nào
HighCrew Multi-Timeframe RSI Tracker Level 2This script extends standard RSI analysis by combining multiple timeframe RSI readings with volatility-adaptive thresholds, divergence detection, and slope-based reversal estimation. Instead of evaluating RSI in isolation, this version compares short-term, mid-term, and long-term RSI groups to identify alignment, pressure transitions, and early trap conditions.
Core Logic Used in the Script:
1. Multi-Timeframe RSI Stack
The script calculates RSI(14) on eight different timeframes:
1m, 5m, 15m, 30m, 60m, 120m, 180m, 240m.
These values are stored in arrays and evaluated together to determine overall directional bias.
2. Volatility-Adaptive Thresholds
A dynamic adjustment to RSI bull/bear levels is applied based on the ratio between current ATR and its 20-period ATR average.
• Higher volatility raises the required bull threshold and lowers the bear threshold.
• Lower volatility compresses the thresholds.
This allows RSI interpretation to scale with market speed.
3. Alignment & Status Modeling
The script counts how many timeframes are bullish, bearish, or neutral relative to the adaptive thresholds.
From this, it generates statuses such as:
• Full Bull Alignment
• Full Bear Alignment
• Partial Trend Formation
• Mixed / Range Conditions
4. Predictive Divergence Logic
The script compares short-term RSI (1m/5m) against mid-term RSI (15m/30m) to look for early trap-type divergences:
• Short-term RSI flipping while higher-timeframe RSI moves opposite
• Micro-TF bursts failing to confirm on mid-TFs
This helps highlight potential early bull/bear trap conditions.
5. RSI Group Averages & Behavior Interpretation
Short, mid, and long-range RSI averages are calculated to classify behavior such as:
• Pressure building
• Downward momentum
• Early trap signatures
• Macro continuation after local dips
• Alignment cooling/stalling
6. Slope-Based Early Reversal Signal
The script measures RSI slope changes between short-term and mid-term averages.
A widening slope spread indicates a potential early reversal forming.
A decay/reset mechanism reduces reversal probability when slopes re-align.
7. Table Display Output
All RSI readings, thresholds, alignment status, trap conditions, volatility mode, and early-reversal probability are shown in a table for quick interpretation.
Purpose of the Tool:
This system is designed to help traders observe how RSI evolves across multiple timeframes simultaneously and how short-term movement interacts with higher-timeframe structure. It does not generate buy/sell signals — instead, it visualizes alignment, divergence, and momentum shifts.
Stochastic RSI Forecast [QuantAlgo]🟢 Overview
The Stochastic RSI Forecast extends the classic momentum oscillator by projecting potential future K and D line values up to 10 bars ahead. Unlike traditional indicators that only reflect historical price action, this indicator uses three proprietary forecasting models, each operating on different market data inputs (price structure, volume metrics, or linear trend), to explore potential price paths. This unique approach allows traders to form probabilistic expectations about future momentum states and incorporate these projections into both discretionary and algorithmic trading and/or analysis.
🟢 How It Works
The indicator operates through a multi-stage calculation process that extends the RSI-to-Stochastic chain forward in time. First, it generates potential future price values using one of three selectable forecasting methods, each analyzing different market dimensions (structure, volume, or trend). These projected prices are then processed through an iterative RSI calculation that maintains continuity with historical gain/loss averages, producing forecasted RSI values. Finally, the system applies the full stochastic transformation (calculating the position of each forecasted RSI within its range, smoothing with K and D periods) to project potential future oscillator values.
The forecasting models adapt to market conditions by analyzing configurable lookback periods and recalculating projections on every bar update. The implementation preserves the mathematical properties of the underlying RSI calculation while extrapolating momentum trajectories, creating visual continuity between historical and forecasted values displayed as semi-transparent dashed lines extending beyond the current bar.
🟢 Key Features
1. Market Structure Model
This algorithm applies price action analysis by tracking break of structure (BOS) and change of character (CHoCH) patterns to identify potential order flow direction. The system detects swing highs and lows using configurable pivot lengths, then analyzes sequences of higher highs or lower lows to determine bullish or bearish structure bias. When price approaches recent swing points, the forecast projects moves in alignment with the established structure, scaled by ATR (Average True Range) for volatility adjustment.
Potential Benefits for Traders:
Explores potential momentum continuation scenarios during established trends
Identifies areas where structure changes might influence momentum
Could be useful for swing traders and position traders who incorporate structure-based analysis
The Structure Influence parameter (0-1 scale) allows blending between pure trend following and structure-weighted forecasts
Helps visualize potential trend exhaustion through weakening structure patterns
2. Volume-Weighted Model
This model analyzes volume patterns by combining On-Balance Volume (OBV), Accumulation/Distribution Line, and volume-weighted price returns to assess potential capital flow. The algorithm calculates directional volume momentum and identifies volume spikes above customizable thresholds to determine accumulation or distribution phases. When volume indicators align directionally, the forecast projects stronger potential moves; when volume diverges from price trends, it suggests possible reversals or consolidation.
Potential Benefits for Traders:
Incorporates volume analysis into momentum forecasting
Attempts to filter price action by volume support or lack thereof
Could be more relevant in markets where volume data is reliable (equities, crypto, major forex pairs)
Volume Influence parameter (0-1 scale) enables adaptation to different market liquidity profiles
Highlights volume climax patterns that sometimes precede trend changes
Could be valuable for traders who incorporate volume confirmation in their analysis
3. Linear Regression Model
This mathematical approach applies least-squares regression fitting to project price trends based on recent price data. Unlike the conditional logic of the other methods, linear regression provides straightforward trend extrapolation based on the best-fit line through the lookback period.
Potential Benefits for Traders:
Delivers consistent, reproducible forecasts based on statistical principles
Works better in trending markets with clear directional bias
Useful for systematic traders building quantitative strategies requiring stable inputs
Minimal parameter sensitivity (primarily controlled by lookback period)
Computationally efficient with fast recalculation on every bar
Serves as a baseline to compare against the more complex structure and volume methods
🟢 Universal Applications Across All Models
Each forecasting method projects potential future stochastic RSI values (K and D lines), which traders can use to:
▶ Anticipate potential crossovers: Visualize possible K/D crosses several bars ahead
▶ Explore overbought/oversold scenarios: Forecast when momentum might return from extreme zones
▶ Assess divergences: Evaluate how oscillator divergences might develop
▶ Inform entry timing: Consider potential points along the forecasted momentum curve for trade entry
▶ Develop systematic strategies: Build rules based on forecasted crossovers, slope changes, or threshold levels
▶ Adapt to market conditions: Switch between methods based on current market character (trending vs range-bound, high vs low volume)
In short, the indicator's flexibility allows traders to combine forecasting projections with traditional stochastic signals, using historical K/D for immediate reference while considering forecasted values for planning and analysis. As with all technical analysis tools, the forecasts represent one possible scenario among many and should be used as part of a broader trading methodology rather than as standalone signals.
All-In-One Magnificent 7Here is a **complete, polished TradingView description** optimized for publication, clarity, SEO, and user onboarding — **fully compatible with Hidden Source Code mode**.
You can paste this directly into the *“Script Description”* section when publishing.
# **TradingView Description (Final Version)**
**Magnificent 7 Overall Percentage Change with MA, Angle, Icons & Threshold Alerts**
By **Andy Campillo** (TradingView: **readysetfire**)
© 2025 – All Rights Reserved
## **Overview**
This indicator tracks the **real-time combined percentage change** of the *Magnificent 7* stocks — AAPL, MSFT, AMZN, NVDA, TSLA, META, and GOOGL — and transforms their collective trend into a clear, actionable signal.
It provides instant insight into whether the market’s largest leadership group is **bullish, bearish, accelerating, weakening**, or undergoing meaningful volatility shifts.
This tool is designed for traders who want to:
* Monitor mega-cap market strength or weakness at a glance
* Confirm index momentum using underlying components
* Detect early trend shifts through MA angle acceleration
* Set actionable alerts without constantly watching the chart
## **Key Features**
### **1. Real-Time Magnificent 7 Percentage Change**
Aggregates the daily performance of the 7 most influential U.S. equities, creating a single smooth line that reflects broad market risk appetite.
Includes two modes:
* **Chart Timeframe Mode** (default – non-repainting, publication-safe)
* **1-Minute Real-Time Mode** (user-selectable)
### **2. Moving Average Trend Engine**
A fully customizable MA applied to the aggregated M7 data.
Includes:
* SMA / EMA / WMA / VWMA options
* Adjustable length
* Visual trend smoothing
### **3. MA Angle Detection (Acceleration Analysis)**
The indicator calculates the **slope angle** of the moving average and triggers:
* **Angle Up Events** (blue labels + upward arrows)
* **Angle Down Events** (orange labels + downward arrows)
This highlights moments where the M7 trend is **accelerating** or **decelerating**, providing an early trend confirmation or warning.
### **4. Background Bias Coloring**
The chart background automatically changes based on overall M7 performance:
* **Green background** → bullish aggregate performance
* **Red background** → bearish aggregate performance
Perfect for intraday visual bias.
### **5. Significant Change Alerts**
Users can enable alerts when the M7 line makes a **large bar-over-bar move**, indicating meaningful volatility or momentum shifts.
Configurable sensitivity.
### **6. Full Alert Suite Included**
Alerts available for:
✔ MA Crossover
✔ MA Crossunder
✔ Angle Up Event
✔ Angle Down Event
✔ Significant Change Threshold Break
✔ **Background Bias Shift (Bullish/Bearish)**
Every alert is optimized to fire only on proper confirmation.
## **Use Cases**
* Confirm index trades (SPX, QQQ, NQ, ES) by reading underlying mega-cap strength
* Detect early trend acceleration or weakening
* Spot market reversals via angle flips
* Automate alerts for regime shifts
* Validate market bias without scanning all seven stocks individually
This indicator is valuable for **day traders, swing traders, options traders, and futures traders**.
## **Notes & Disclaimer**
This script is provided for **educational purposes only** and does not constitute financial advice. Past performance does not guarantee future results. Always test any tool in a simulated environment before using it with real capital.
© 2025 Andy Campillo (TradingView: readysetfire).
Unauthorized copying, redistribution, or republishing of this indicator is strictly prohibited.
GLI / Asset Structural Trend RatioBasicly I asked AI to create a GLI to Asset trend ratio indicator.
Order Blocks + RSI Signals (v6)📘 Order Blocks + RSI Signals (v6) — Tavsif
Order Blocks + RSI Signals (v6) — bu bozor strukturasini va momentum signallarini birlashtiruvchi kuchli texnik analiz indikatori. U ikkita asosiy komponent asosida ishlaydi:
🔷 1. Order Block (OB) avtomatik aniqlash
Indikator bozor harakatidan kelib chiqib:
Bullish Order Blocklar
Bearish Order Blocklar
ni aniqlaydi va chizadi.
U quyidagi xususiyatlarga ega:
✅ Swing High/Low bo‘yicha OB zonalarini topadi
✅ Breaker shakllanganda rang o‘zgaradi
✅ Oxirgi N ta bullish/bearish OBlarni ko‘rsatadi
✅ Candle body ishlatish opsiyasi mavjud
✅ Tarixiy OB breakoutlarni to‘liq belgilaydi
Order Blocklar to‘liq box + line ko‘rinishida chiziladi va narx o‘tishi bilan avtomatik update bo‘lib boradi.
🔶 2. RSI Signals (Buy/Sell)
Indikator klassik RSI signallarini faqat signal sifatida beradi:
RSI < 30 → BUY
RSI > 70 → SELL
U RSI liniyasini chizmaydi — faqat grafikda:
📍 BUY → pastga yashil label
📍 SELL → tepaga qizil label
Bu esa Order Block ichida yoki yaqinida yuzaga kelgan momentum signallarini aniq ko‘rishni osonlashtiradi.
🚨 3. Alertlar
Indikatorda tayyor alertlar mavjud:
RSI BUY — Oversold
RSI SELL — Overbought
Narx OB zonalariga yaqinlashganida RSI signalini olish — kuchli tasdiqlovchi strategiyadir.
📊 Kimlar uchun?
Bu indikator quyidagi treyderlar uchun ideal:
ICT / SMC / Order Block metodikasida ishlaydiganlar
OB + Momentum kombinatsiyasini izlaydiganlar
Scalping, intraday, swing treyderlar
OB va RSI signallarini bir joyda ko‘rmoqchi bo‘lganlar
⚙️ Asosiy afzalliklar
OBlarni to‘liq avtomatik aniqlaydi
Breaker zonalarini ajratib ko‘rsatadi
RSI signallari bilan tasdiq beradi
Grafikni toza ushlab turuvchi dizayn
Barcha timeframe’lar bilan mos
📘 Order Blocks + RSI Signals (v6) — Description
Order Blocks + RSI Signals (v6) is a powerful technical analysis tool that combines institutional Order Block detection with momentum-based RSI signals. The indicator helps traders identify key market structure zones and high-probability buy/sell opportunities.
🔷 1. Automatic Order Block Detection
The indicator automatically detects:
Bullish Order Blocks
Bearish Order Blocks
based on swing structure and liquidity shifts.
Key features:
✅ Detects OB zones using swing highs/lows
✅ Shows breaker blocks when price invalidates the OB
✅ Option to display the last N bullish/bearish OBs
✅ Option to use candle bodies instead of wicks
✅ Draws clean OB boxes & boundary lines that auto-update
Both active and broken Order Blocks are displayed clearly with separate colors.
🔶 2. RSI Buy/Sell Signals
A simple, clean RSI confirmation system:
RSI < 30 → BUY signal
RSI > 70 → SELL signal
The indicator does NOT plot the RSI line — it only shows:
📍 Green “BUY” label under bars
📍 Red “SELL” label above bars
This keeps the chart clean and helps combine OB zones with momentum signals.
🚨 3. Built-in Alerts
The indicator includes ready-to-use alerts:
RSI BUY — Oversold (RSI < 30)
RSI SELL — Overbought (RSI > 70)
Perfect for catching reactions inside or near Order Blocks.
📊 Who Is This For?
Ideal for:
ICT / SMC / Order Block traders
Scalpers, intraday & swing traders
Traders who use OB + momentum confirmation
Anyone wanting clean, automated OB detection
⚙️ Main Advantages
Fully automated OB detection
Breaker block visualization
Clean RSI signals with no clutter
Compatible with all symbols & timeframes
Clear, minimalistic visual design
Impulse TP/SL ZonesDescription (paste this):
Impulse TP/SL Zones (Spread Aware) is an invite-only trade management and execution helper, not a standalone signal generator.
The script combines:
A simple SMA trend filter to define LONG/SHORT bias.
A recent impulse range (highest high – lowest low over N bars) to size TP and SL dynamically.
Spread-aware TP/SL levels so targets reflect realistic broker conditions.
Visual blocks and lines marking risk and reward zones (Entry→TP1, TP1→TP3, Entry→SL).
A compact TP/SL table that shows all levels and adds checkmarks when TP1/TP2/TP3 are hit.
How it works (logic):
Trend direction is defined by a user-selected SMA length.
Close above SMA → LONG bias.
Close below SMA → SHORT bias.
The script measures the impulse range over the last lenImpulse bars and uses fixed fractions of that range (0.382 / 0.618 / 0.786) to build TP1/TP2/TP3.
SL is placed using impulseRange * levelRatio in the opposite direction of the bias.
A spread input (spreadPts) shifts all TP/SL levels so they more closely match actual fills.
A new “signal block” is created when the bias flips or when TP3 or SL is reached. Each block has:
Entry line, TP1/TP2/TP3 lines, SL line.
Blocks for the risk zone (Entry→SL) and profit zones (Entry→TP1 and TP1→TP3).
The script tracks when each TP is touched (by high/low depending on bias) and shows ✅ for those levels in the table.
Inputs (user parameters):
Impulse Length (lenImpulse) – bars used for the high/low impulse range.
SMA Length (smaLen) – period of the SMA trend filter.
SL/TP Multiplier (levelRatio) – how far SL is from entry relative to the impulse.
Spread (spreadPts) – spread in points for more realistic TP/SL placement.
Why invite-only / closed-source:
This script is part of a structured, proprietary trade management framework. It is not just a mashup of public indicators; the way it defines impulses, handles signal expiration, and dynamically extends zones is specific to my personal methodology. Keeping it closed-source protects the exact implementation, while this description still explains clearly what the script does and how to use it.
How to use:
Apply it to any symbol/timeframe and tune inputs to your style (scalping vs swing).
Use your own strategy to decide entries.
Use this indicator to visualize where TP1/TP2/TP3 and SL sit relative to the recent impulse and spread, and to manage partial exits and risk.
This tool does not guarantee profits or prevent losses. Always backtest and forward-test on demo before using it live; all trading decisions remain your own responsibility.
极值开仓方向共振(Extreme value opening position direction resonance)该指标适合所有币种,排除掉(特殊周期例如:降息会议 cpi 等等)外胜率较高 搭配更短周期的极值做参考找到更精准的卖出点和买入点。
This indicator is suitable for all currencies. Excluding special periods (such as interest rate cut meetings, CPI, etc.), it has a relatively high success rate. It can be used in conjunction with extreme values of shorter cycles as a reference to find more precise selling and buying points.
Strat Daily Predictor📊 Strat Daily Predictor
This indicator analyzes Daily timeframe Strat patterns and displays actionable trading setups on any chart timeframe.
🔹 FEATURES:
• Detects all major Strat patterns (2-1-2, 3-1-2, 3-2-2, 1-2-2, 2-2, 1-2, 1-3)
• Shows Entry (E) and Target (T) price levels
• Pattern status: ACTIONABLE, TRIGGERED, or IN-FORCE
• Visual Entry/Target lines on chart
• Entry signals when price breaks trigger levels
• Works on any timeframe using Daily analysis
🔹 PATTERN TYPES:
• Continuation patterns (trend following)
• Reversal patterns (counter-trend)
• Bullish & Bearish setups
🔹 TABLE DISPLAYS:
• Current pattern name
• Bar combo (e.g., 2↑ → 1 → 2↑)
• Bias (BULLISH/BEARISH)
• Entry & Target prices
• Daily High/Low levels
🔹 HOW TO USE:
1. Add to any timeframe chart
2. Check table for Daily pattern setup
3. Wait for ACTIONABLE patterns
4. Enter when price breaks Entry level
5. Target shown on chart
🔹 ALERTS:
• Long Entry
• Short Entry
• Actionable Pattern
• In-Force Pattern
Based on Rob Smith's "The Strat" methodology.
Granger Causality Flow IndicatorGranger Causality Flow Indicator
█ OVERVIEW
The Granger Causality Flow Indicator is a statistical analysis tool designed to identify predictive relationships between two assets (Symbol X and Symbol Y). In econometrics, "Granger Causality" does not test for actual physical causation (e.g., rain causes mud); rather, it tests for predictive causality .
This script is designed to answer a specific question for traders: "Does the past price action of Asset X provide statistically significant information about the future price of Asset Y, beyond what is already contained in the past prices of Asset Y itself?"
This tool is particularly useful for Pairs Traders , Arbitrageurs , and Macro Analysts looking to identify lead-lag relationships between correlated assets (e.g., BTC vs. ETH, NASDAQ vs. SPY, or Gold vs. Silver).
█ CONCEPTS & CALCULATIONS
To determine if Symbol X "Granger-causes" Symbol Y, this script utilizes a variance-reduction approach based on Auto-Regressive (AR) models. Due to the runtime constraints of Pine Script™, we employ an optimized proxy for the standard Granger test using an AR(1) logic (looking back 1 period).
The calculation performs a comparative test over a rolling window (Default: 50 bars):
The Restricted Model (Baseline):
We attempts to predict the current value of Y using only the previous value of Y (Auto-Regression). We measure the error of this prediction (the "Residuals") and calculate the Variance of the Restricted Model (Var_R) .
The Unrestricted Model (Proxy):
We then test if the past value of X can explain the errors made by the Restricted Model. If X contains predictive power, including it should reduce the error variance. We calculate the remaining Variance of the Unrestricted Model (Var_UR) .
The GC Score:
The script calculates a score based on the ratio of variance reduction:
Score = 1 - (Var_UR / Var_R)
If the Score is High (> 0) : It implies that including X significantly reduced the prediction error for Y. Therefore, X "Granger-causes" Y.
If the Score is Low or 0 : It implies X added no predictive value.
█ HOW TO USE
This indicator is not a simple Buy/Sell signal generator; it is a context filter for cross-asset analysis.
1. Setup
Symbol 1 (X): The potential "Leader" (e.g., BINANCE:BTCUSDT).
Symbol 2 (Y): The potential "Follower" (e.g., BINANCE:ETHUSDT).
Differencing: Enabled by default. This checks the changes in price rather than absolute price, which is crucial for statistical stationarity.
2. Interpreting the Visuals
The script changes the background color and displays a table to indicate the current flow of causality:
Green Background (X → Y): Symbol 1 is leading Symbol 2. Price moves in Symbol 1 are statistically likely to foreshadow moves in Symbol 2.
Orange Background (Y → X): Symbol 2 is leading Symbol 1. The relationship has inverted.
Blue Background (Bidirectional): Both assets are predicting each other (tight coupling or feedback loop).
Gray/No Color: No statistically significant relationship detected.
3. Trading Application
Trend Confirmation: If you trade Symbol Y, wait for the background to turn Green . This indicates that the "Leader" (Symbol X) is currently exerting predictive influence, potentially making trend-following setups on Symbol Y more reliable.
Divergence Warning: If you are trading a correlation pair and the causality breaks (turns Gray), the correlation may be weakening, signaling a higher risk of divergence.
█ SETTINGS
Symbol 1 (X) & Symbol 2 (Y): The two tickers to analyze.
Use Differencing: (Default: True) Converts prices to price-changes. Highly recommended for accurate statistical results to avoid spurious regression.
Calculation Window: The number of bars used to compute the variance and coefficients. Larger windows provide smoother, more stable signals but react slower to regime changes.
Significance Threshold: (0.01 - 0.99) The minimum variance reduction score required to trigger a causal signal.
█ DISCLAIMER
This tool provides statistical analysis of historical price data and does not guarantee future performance. Granger Causality is a measure of predictive capability, not necessarily fundamental causation. Always use appropriate risk management.
Solace EVO HUDThe Solace EVO HUD (Heads-Up Display) is a cutting-edge, all-in-one TradingView indicator that transforms your chart into a professional trading dashboard. As the pinnacle of the Solace Cipher EVO series, it combines momentum signals, trend filters, volatility bands, and multiple oscillators into a cohesive "HUD" for real-time decision-making. Designed for crypto, forex, stocks, and futures traders, it provides at-a-glance insights to spot high-probability setups without cluttering your screen. Whether you're scalping on 1-minute charts or swinging on daily, the EVO HUD delivers actionable intelligence with precision and style
Señales DMI/ADX 7 + SMA 21 (Pullback Mejorado)It identifies buy and sell signals in 30 minutes with excellent accuracy, using the ADX as a strength indicator, the moving average as a trend indicator, and +DI and -DI crossovers as buy and sell signals.






















