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Fear Of Missing Out grid of forex tradingAbstract This script finds potential safe grids placing limit orders without fear of missing out. This script computes grids according to power of 1.0025 . You can reference those price levels for your trading. Introduction Grid trading is a popular trading method. Traders plan several price levels as grids and repeat buying at lower grids and selling at higher grids. Grids can be round number like multiple of 100 pips. Grids can also be support and resistance according to price history. Some traders may think they need to adjust grids to trade. However, there are several problems in choosing grids. One problem is rate of change is related and therefore exponential. 20 to 30 is different from 30 to 40. Another interesting point is there are some special impressing reversal price levels. Several months ago, I had a question why usdjpy bounced near 108.3 . After using a calculator, I found that 108.3 = 100 * 1.083 ≒ 100 * pow(1.0025,31) . 1.0025 , as known as 0.25% of change, is a potential stop out zone. Therefore, we can compute grids and one grid is a little more than 1.0025 times than an another one. After we finished computing grids, we can consider buy and sell near those grids. Note that different traders may obtain different grid values. For example, from 1.0 to 2.0 , it can be splited as 270 grids or 277 grids because pow(1.0025,277)<2 . Those grids cannot always imply potential reversal points but they can be useful for traders looking for 0.25% profit targets with reducing fearing of buying or selling too early. Computing grids This script split from 1.0 to 10.0 into three segments. One is 1.0 to 2.0 . The second segment is from 2.0 to 5.0 . The third segment is from 5.0 to 10.0 . This script does the same thing for 0.1 to 1.0 , 10.0 to 100.0 , and so on. For 1.0 to 2.0 and 5.0 to 10.0 , this script split a segment as 270 grids. For 2.0 to 5.0 , this script split a segment as 360 grids. The last step is display the next grids to the daily low and daily high. Maybe also display the grids behind grids shown. Parameters x1,x2,x3,x4 : display the next x1,x2,x3,x4 grids to daily high and daily low. 1 means the next grid to daily high and daily low. 2 means the next grid to 1. x_seg : default 2.0 . This script split from 1.0 to 10.0 into three segments. One is 1.0 to x_seg. The second segment is from x_seg to 10.0/x_seg . The third segment is from 10.0/x_seg to 10.0 . x_grid1 : how many grids in the first segment x_grid2 : how many grids in the second segment x_lowprice : add this number for bigger grid distance. Generally, you don't need this number when trading forex but you may need it in stock trading. For stocks with price between 50 to 100, I recommend you use x_lowprice=100. Conclusion and suggestions This script can find potential grids for trading. If price touches grids usually, we can consider buy and sell after price touches grids. If price reverses before touching grids usually, we may consider buy and sell before price touches grids. Those grids can remind us don't buy too much unless the price touches the next grid. For instruments with less volatility, maybe we need more grids. For traders with more money, they may also consider more grids for more dedicated range trading to collect more profit. Reference Sorry, I forgot them.
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clocks156t174 tarafından
1
Continuation and Reversal Patterns This script helps in identifying the reversal and continuation patterns in the japanese candle sticks this can be applied across all time frames we can configure the maximum number of weak candles in the zone such that we can configure the strength as per end user but maximum base candles is restricted to 5 as any candles greater than that will make the pattern weak Note : This is not a strategy rather a useful tool which suggests there might be continuation to the existing trend or there might be reversal , so use them with combination of other indicators and price action for better results
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Harshas2021 tarafından
5
HOLP/LOHPThe HOLP strategy was developed by trader-author John F. Carter in his book 'Mastering the trade: proven techniques for profiting from intraday and swing trading set ups' (ISBN 0-07-145958-8). The strategy, which gives buy signals, is a reversal strategy. Reversal strategies try to determine the point in time when a trend reverses direction. In his book John F. Carter is actually skeptical of taking a position against the trend, quoting classics like "never catch a falling knife" (buy a steep sell off) and "never step in front of a train" (short sell a strong market). Given his skepticism he decides to base his strategy on the one single factor which he deems relevant: the market price.
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jasonowl tarafından
2
Inverse BandsThis was the result of quite some time spent examining how much information could be gleamed by studying the interactions between Keltner Channels, STARC Bands and Bollinger Bands. I was surprised by the results. First of all, there are four fills that are black. Set the transparency of those to 0 and you'll see this indicator the way that it's meant to be seen. Those fills belong to unused sections of the Bollinger Bands. There are two clouds which represent STARC Bands and the Keltner Channel. There is some delay when they flip from bullish (green) to bearish (red), but they are indicative of the trend. The space between them is black and the narrower that space is, the greater volatility is. Because of this, we don't need the exterior Bollinger Bands. The Bollinger Bands remain visible as the yellow interior clouds on the top cloud and the blue interior clouds on the bottom cloud. Often, the thicker the yellow or blue cloud is, the less severe a throwback from a given trend reversal will be. Often the thinner that yellow or blue cloud is, the more severe the trend reversal will be. If price is rising into a thin interior yellow cloud, the following dip will be substantial. If price action dips towards a thicker interior blue cloud, often the pump following that dump will be less enthusiastic. We preserve the Keltner Channel and STARC bands as our cloud because the way that they interact with the three basis lines yields a lot of information. The yellow Bollinger basis line tells us about trend strength. The closer the BB basis line is to the top of the top cloud or the bottom of the bottom cloud, the stronger the trend is. When it enters the cloud very close to the bottom of the bottom cloud, you know you're looking at a strong pump, and vice versa when it's close to the top of the top cloud. The purple Keltner Channel basis line and orange STARC Band basis line can forecast short term trend changes one candlestick in advance by contacting any line in either cloud. The moment either basis line touches or crosses any boundary of the clouds, you know that the next candle will change directions. In an uptrend, a touch or cross means the next candle will have a lower high point. In a downtrend, a cross or touch means the next candle will have a higher high point. This is most useful in scalping. It'd be pretty easy to slap some crossover alerts on to this and useful considering that they come a candle in advance. Feel free to further explore and develop this.
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ChronicMasturTrader tarafından
6
Pivot of Pivot Reversal Strategy [QuantNomad]Continue looking for more signifcant pivot points. This script is based on my "Significant Pivot Reversal Strategy". In this strategy I use concept of pivot of pivot points. So for PoP I require that pivot highs point should have 2 lower pivot highs points around them and pivot low 2 higher pivot lows points. Transparent lines represent usual pivot levels ints. Not transparent lines represent pivot of pivot levels. Link to original script:
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QuantNomad tarafından
5
QuantNomad - Significant Pivot Reversal Strategy AlertsAlerts for "Significant Pivot Reversal Strategy": As one of the ways to filter out insignificant levels I decided to check that pivot point is not above/below neighbors, but check that it's above/below at least by a certain amount. I use ATR, so in params, you can set length of ATR and also ATR multiplier. The new level will be calculated only if PP will be above/below neighbors by atr * atr_mult. It seems this approach might help in some cases.
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QuantNomad tarafından
1
QuantNomad - Significant Pivot Reversal StrategyI'm working on improving the Pivot Points Reversal Strategy. As one of the ways to filter out insignificant levels I decided to check that pivot point is not above/below neighbors, but check that it's above/below at least by a certain amount. I use ATR, so in params, you can set length of ATR and also ATR multiplier. The new level will be calculated only if PP will be above/below neighbors by atr * atr_mult. It seems this approach might help in some cases. Here I have PivotPoint + RSI strategy:
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QuantNomad tarafından
13
PivotBoss Extreme Reversal SetupPATTERN SUMMARY 1. The first bar of the pattern is about two times larger than the average size of the candles in the lookback period. 2. The body of the first bar of the pattern should encompass more than 50 percent of the bar's total range, but usually not more than 85 percent. 3. The second bar of the pattern opposes the first. If the first bar of the pattern is bullish (C > 0), then the second bar must be bearish (C < 0). If the first bar is bearish (C < 0), then the second bar must be bullish (C > 0). PATTERN PSYCHOLOGY The extreme reversal setup is a clever pattern that capitalizes on the ongoing psychological patterns of investors, traders, and institutions. Basically, the setup looks for an extreme pattern of selling pressure and then looks to fade this behavior to capture a bullish move higher (reverse for shorts). In essence, this setup is visually pointing out oversold and overbought scenarios that forces responsive buyers and sellers to come out of the dark and put their money to work-price has been over-extended and must be pushed back toward a fair area of value so two-sided trade can take place. This setup works because many normal investors, or casual traders, head for the exits once their trade begins to move sharply against them. When this happens, price becomes extremely overbought or oversold, creating value for responsive buyers and sellers. Therefore, savvy professionals will see that price is above or below value and will seize the opportunity. When the scared money is selling, the smart money begins to buy, and Vice versa. Look at it this way, when the market sells off sharply in one giant candlestick, traders that were short during the drop begin to cover their profitable positions by buying. Likewise, the traders that were on the sidelines during the sell-off now see value in lower prices and begin to buy, thus doubling up on the buying pressure. This helps to spark a sharp v-bottom reversal that pushes price in the opposite direction back toward fair value.
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ParCorn tarafından
4
Ultra Simple ReversalThis is a simple script that combines Key Features: ✅ No plotting - Only text labels and candle color changes ✅ Reversal candle detection - Changes candle color on high-probability signals ✅ BUY/SELL text labels - Clear directional signals ✅ Four-module confluence - SSL + Squeeze + MTF Pivots + ORB Breakout ✅ Non-repainting - Reliable signals using proper security calls ✅ Pine Script v6 compatible - All syntax errors fixed
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nanccee0 tarafından
Hilly's 0010110 Reversal Scalping Strategy - 5 Min CandlesKey Features and Rationale: Timeframe: Restricted to 5-minute candles as requested. Pattern Integration: Includes single (Hammer, Shooting Star, Doji), two (Engulfing, Harami), and three-plus (Morning Star, Evening Star) candlestick patterns, plus reversal patterns based on RSI extremes. VWAP Cross: Incorporates bullish (price crosses above VWAP) and bearish (price crosses below VWAP) signals, enhanced by trend context. Volume Analysis: Uses a volume spike threshold to filter noise, with a simple day-start volume comparison for financial environment context. Financial Environment: Approximates the day's sentiment using early-hour volume compared to current volume, adjusted by trend. Aggregation: Scores each condition (e.g., 1 for basic patterns, 2 for strong patterns like Engulfing, 3 for three-candle patterns) and decides based on weighted consensus, with trendStrength as a tunable threshold. Risky Approach: Minimal filtering and a low trendStrength (default 0.5) allow frequent signals, aligning with your $100-to-$200 goal, but expect higher risk. Suggested Inputs: EMA Length: 10 (short enough for 5-minute sensitivity). VWAP Lookback: 1 (uses current session VWAP). Volume Threshold Multiplier: 1.2 (moderate spike requirement). RSI Length: 14 (standard, adjustable to 7 for more sensitivity). Trend Strength Threshold: 0.5 (balance between signals; lower to 0.4 for more trades, raise to 0.6 for fewer).
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Hilly1976 tarafından
POC Migration Velocity (POC-MV) [PhenLabs]📊POC Migration Velocity (POC-MV) Version: PineScript™v6 📌Description The POC Migration Velocity indicator revolutionizes market structure analysis by tracking the movement, speed, and acceleration of Point of Control (POC) levels in real-time. This tool combines sophisticated volume distribution estimation with velocity calculations to reveal hidden market dynamics that conventional indicators miss. POC-MV provides traders with unprecedented insight into volume-based price movement patterns, enabling the early identification of continuation and exhaustion signals before they become apparent to the broader market. By measuring how quickly and consistently the POC migrates across price levels, traders gain early warning signals for significant market shifts and can position themselves advantageously. The indicator employs advanced algorithms to estimate intra-bar volume distribution without requiring lower timeframe data, making it accessible across all chart timeframes while maintaining sophisticated analytical capabilities. 🚀Points of Innovation Micro-POC calculation using advanced OHLC-based volume distribution estimation Real-time velocity and acceleration tracking normalized by ATR for cross-market consistency Persistence scoring system that quantifies directional consistency over multiple periods Multi-signal detection combining continuation patterns, exhaustion signals, and gap alerts Dynamic color-coded visualization system with intensity-based feedback Comprehensive customization options for resolution, periods, and thresholds 🔧Core Components POC Calculation Engine: Estimates volume distribution within each bar using configurable price bands and sophisticated weighting algorithms Velocity Measurement System: Tracks the rate of POC movement over customizable lookback periods with ATR normalization Acceleration Calculator: Measures the rate of change of velocity to identify momentum shifts in POC migration Persistence Analyzer: Quantifies how consistently POC moves in the same direction using exponential weighting Signal Detection Framework: Combines trend analysis, velocity thresholds, and persistence requirements for signal generation Visual Rendering System: Provides dynamic color-coded lines and heat ribbons based on velocity and price-POC relationships 🔥Key Features Real-time POC calculation with 10-100 configurable price bands for optimal precision Velocity tracking with customizable lookback periods from 5 to 50 bars Acceleration measurement for detecting momentum changes in POC movement Persistence scoring to validate signal strength and filter false signals Dynamic visual feedback with blue/orange color scheme indicating bullish/bearish conditions Comprehensive alert system for continuation patterns, exhaustion signals, and POC gaps Adjustable information table displaying real-time metrics and current signals Heat ribbon visualization showing price-POC relationship intensity Multiple threshold settings for customizing signal sensitivity Export capability for use with separate panel indicators 🎨Visualization POC Connecting Lines: Color-coded lines showing POC levels with intensity based on velocity magnitude Heat Ribbon: Dynamic colored ribbon around price showing POC-price basis intensity Signal Markers: Clear exhaustion top/bottom signals with labeled shapes Information Table: Real-time display of POC value, velocity, acceleration, basis, persistence, and current signal status Color Gradients: Blue gradients for bullish conditions, orange gradients for bearish conditions 📖Usage Guidelines POC Calculation Settings POC Resolution (Price Bands): Default 20, Range 10-100. Controls the number of price bands used to estimate volume distribution within each bar Volume Weight Factor: Default 0.7, Range 0.1-1.0. Adjusts the influence of volume in POC calculation POC Smoothing: Default 3, Range 1-10. EMA smoothing period applied to the calculated POC to reduce noise Velocity Settings Velocity Lookback Period: Default 14, Range 5-50. Number of bars used to calculate POC velocity Acceleration Period: Default 7, Range 3-20. Period for calculating POC acceleration Velocity Significance Threshold: Default 0.5, Range 0.1-2.0. Minimum normalized velocity for continuation signals Persistence Settings Persistence Lookback: Default 5, Range 3-20. Number of bars examined for persistence score calculation Persistence Threshold: Default 0.7, Range 0.5-1.0. Minimum persistence score required for continuation signals Visual Settings Show POC Connecting Lines: Toggle display of colored lines connecting POC levels Show Heat Ribbon: Toggle display of colored ribbon showing POC-price relationship Ribbon Transparency: Default 70, Range 0-100. Controls transparency level of heat ribbon Alert Settings Enable Continuation Alerts: Toggle alerts for continuation pattern detection Enable Exhaustion Alerts: Toggle alerts for exhaustion pattern detection Enable POC Gap Alerts: Toggle alerts for significant POC gaps Gap Threshold: Default 2.0 ATR, Range 0.5-5.0. Minimum gap size to trigger alerts ✅Best Use Cases Identifying trend continuation opportunities when POC velocity aligns with price direction Spotting potential reversal points through exhaustion pattern detection Confirming breakout validity by monitoring POC gap behavior Adding volume-based context to traditional technical analysis Managing position sizing based on POC-price basis strength ⚠️Limitations POC calculations are estimations based on OHLC data, not true tick-by-tick volume distribution Effectiveness may vary in low-volume or highly volatile market conditions Requires complementary analysis tools for complete trading decisions Signal frequency may be lower in ranging markets compared to trending conditions Performance optimization needed for very short timeframes below 1-minute 💡What Makes This Unique Advanced Estimation Algorithm: Sophisticated method for calculating POC without requiring lower timeframe data Velocity-Based Analysis: Focus on POC movement dynamics rather than static levels Comprehensive Signal Framework: Integration of continuation, exhaustion, and gap detection in one indicator Dynamic Visual Feedback: Intensity-based color coding that adapts to market conditions Persistence Validation: Unique scoring system to filter signals based on directional consistency 🔬How It Works Volume Distribution Estimation: Divides each bar into configurable price bands for volume analysis Applies sophisticated weighting based on OHLC relationships and proximity to close Identifies the price level with maximum estimated volume as the POC Velocity and Acceleration Calculation: Measures POC rate of change over specified lookback periods Normalizes values using ATR for consistent cross-market performance Calculates acceleration as the rate of change of velocity Signal Generation Process: Combines trend direction analysis using EMA crossovers Applies velocity and persistence thresholds to filter signals Generates continuation, exhaustion, and gap alerts based on specific criteria 💡Note: This indicator provides estimated POC calculations based on available OHLC data and should be used in conjunction with other analysis methods. The velocity-based approach offers unique insights into market structure dynamics but requires proper risk management and complementary analysis for optimal trading decisions.
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PhenLabs tarafından
BTC 5M Scalper: 3EMA Reversal v1.6 Lite by AIOBest Timeframe: 5 minutes!! Optimal Asset: BTC/USDT (Bitcoin) Stop Placement: Below the signal candle's low (for long) / Above the signal candle's high (for short) Risk/Reward: Minimum 1:2 ratio recommended Description: This 3EMA Reversal strategy identifies trend continuation signals using: Fast EMA (20) and Slow EMA (50) crossover Volume confirmation (above 20-period average) Engulfing candle pattern Built-in stop loss and take profit levels Usage Instructions: Apply to BTC/USDT 5-minute chart Enter long when green triangle appears (stop below signal candle) Enter short when red triangle appears (stop above signal candle) TP levels are automatically calculated based on your RR setting Pro Tip: Combine with 1-hour trend analysis for better results. The strategy works best in trending markets with above-average volume.
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dorkhah tarafından
MR.Z Stoch RSI %K Reversal Signals🟢 K Strategy Description The K Strategy is a momentum-based trading technique using the %K line from the Stochastic Oscillator. It is designed to detect potential reversal points in price trends by identifying extreme conditions of overbought and oversold levels. ✅ Core Logic: The strategy monitors the %K line (a smoothed form of RSI momentum). A Buy Signal is triggered when: The %K line dips to or below a defined lower threshold (commonly 30 or less). This suggests the asset is oversold and may soon reverse upward. A Sell Signal is triggered when: The %K line peaks above an upper threshold (commonly 70 or more). This suggests the asset is overbought and may reverse downward. ⚙️ Adjustable Parameters: K Length: The sensitivity of the %K calculation (affects how fast it responds). Buy Level: Set your oversold trigger (e.g., 20–40). Sell Level: Set your overbought trigger (e.g., 60–100). Signal Smoothing (optional): Helps reduce noise and avoid false triggers. 📈 Use Case: This strategy is effective in ranging markets where prices frequently oscillate. It can also be used with other indicators (like EMA, volume filters, or price action confirmation) to increase accuracy in trending conditions.
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grigory84 tarafından
MR.Z Strategy Reversal Signal Nadaraya SMA)Nadaraya-Watson Envelope (NW Envelope): A smoothed, non-linear dynamic envelope that adapts to price structure. It visually identifies price extremes using kernel regression. The upper and lower bands move with the chart and provide reliable dynamic support and resistance. EMA Levels: Includes three key exponential moving averages: EMA 50 (short-term trend) EMA 100 (medium-term) EMA 200 (long-term, institutional level) Fully Scrollable and Responsive: All lines and envelopes are plotted using plot() so they move with the chart and respond to zoom and pan actions naturally. 🧠 Ideal Use: Identify reversal zones, dynamic support/resistance, and trend momentum exhaustion. Combine WTB and NW Envelope for confluence-based entries. Use EMA structure for trend confirmation or breakout anticipation. Let me know if you'd like to add: Divergence detection Buy/Sell signals Alerts or signal filtering options I’ll be happy to extend the description or the script accordingly!
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grigory84 tarafından
1
Quantum Reversal# 🧠 Quantum Reversal ## **Quantitative Mean Reversion Framework** This algorithmic trading system employs **statistical mean reversion theory** combined with **adaptive volatility modeling** to capitalize on Bitcoin's inherent price oscillations around its statistical mean. The strategy integrates multiple technical indicators through a **multi-layered signal processing architecture**. --- ## ⚡ **Core Technical Architecture** ### 📊 **Statistical Foundation** - **Bollinger Band Mean Reversion Model**: Utilizes 20-period moving average with 2.2 standard deviation bands for volatility-adjusted entry signals - **Adaptive Volatility Threshold**: Dynamic standard deviation multiplier accounts for Bitcoin's heteroscedastic volatility patterns - **Price Action Confluence**: Entry triggered when price breaches lower volatility band, indicating statistical oversold conditions ### 🔬 **Momentum Analysis Layer** - **RSI Oscillator Integration**: 14-period Relative Strength Index with modified oversold threshold at 45 - **Signal Smoothing Algorithm**: 5-period simple moving average applied to RSI reduces noise and false signals - **Momentum Divergence Detection**: Captures mean reversion opportunities when momentum indicators show oversold readings ### ⚙️ **Entry Logic Architecture** ``` Entry Condition = (Price ≤ Lower_BB) OR (Smoothed_RSI < 45) ``` - **Dual-Condition Framework**: Either statistical price deviation OR momentum oversold condition triggers entry - **Boolean Logic Gate**: OR-based entry system increases signal frequency while maintaining statistical validity - **Position Sizing**: Fixed 10% equity allocation per trade for consistent risk exposure ### 🎯 **Exit Strategy Optimization** - **Profit-Lock Mechanism**: Positions only closed when showing positive unrealized P&L - **Trend Continuation Logic**: Allows winning trades to run until momentum exhaustion - **Dynamic Exit Timing**: No fixed profit targets - exits based on profitability state rather than arbitrary levels --- ## 📈 **Statistical Properties** ### **Risk Management Framework** - **Long-Only Exposure**: Eliminates short-squeeze risk inherent in cryptocurrency markets - **Mean Reversion Bias**: Exploits Bitcoin's tendency to revert to statistical mean after extreme moves - **Position Management**: Single position limit prevents over-leveraging ### **Signal Processing Characteristics** - **Noise Reduction**: SMA smoothing on RSI eliminates high-frequency oscillations - **Volatility Adaptation**: Bollinger Bands automatically adjust to changing market volatility - **Multi-Timeframe Coherence**: Indicators operate on consistent timeframe for signal alignment --- ## 🔧 **Parameter Configuration** | Technical Parameter | Value | Statistical Significance | |-------------------|-------|-------------------------| | Bollinger Period | 20 | Standard statistical lookback for volatility calculation | | Std Dev Multiplier | 2.2 | Optimized for Bitcoin's volatility distribution (95.4% confidence interval) | | RSI Period | 14 | Traditional momentum oscillator period | | RSI Threshold | 45 | Modified oversold level accounting for Bitcoin's momentum characteristics | | Smoothing Period | 5 | Noise reduction filter for momentum signals | --- ## 📊 **Algorithmic Advantages** ✅ **Statistical Edge**: Exploits documented mean reversion tendency in Bitcoin markets ✅ **Volatility Adaptation**: Dynamic bands adjust to changing market conditions ✅ **Signal Confluence**: Multiple indicator confirmation reduces false positives ✅ **Momentum Integration**: RSI smoothing improves signal quality and timing ✅ **Risk-Controlled Exposure**: Systematic position sizing and long-only bias --- ## 🔬 **Mathematical Foundation** The strategy leverages **Bollinger Band theory** (developed by John Bollinger) which assumes that prices tend to revert to the mean after extreme deviations. The RSI component adds **momentum confirmation** to the statistical price deviation signal. **Statistical Basis:** - Mean reversion follows the principle that extreme price deviations from the moving average are temporary - The 2.2 standard deviation multiplier captures approximately 97.2% of price movements under normal distribution - RSI momentum smoothing reduces noise inherent in oscillator calculations --- ## ⚠️ **Risk Considerations** This algorithm is designed for traders with understanding of **quantitative finance principles** and **cryptocurrency market dynamics**. The strategy assumes mean-reverting behavior which may not persist during trending market phases. Proper risk management and position sizing are essential. --- ## 🎯 **Implementation Notes** - **Market Regime Awareness**: Most effective in ranging/consolidating markets - **Volatility Sensitivity**: Performance may vary during extreme volatility events - **Backtesting Recommended**: Historical performance analysis advised before live implementation - **Capital Allocation**: 10% per trade sizing assumes diversified portfolio approach --- **Engineered for quantitative traders seeking systematic mean reversion exposure in Bitcoin markets through statistically-grounded technical analysis.**
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ArganaBridgeCapital tarafından
7
BBS – Bond Breadth Signal"When bonds scream, breadth collapses, and fear spikes — BBS listens." 🧠 BBS – Bond Breadth Signal A reversal timing tool built on macro conviction, not price noise. The Bond Breadth Signal (BBS) was developed to identify major market inflection points by combining four key market stress indicators: 1) 10-Year Yield ROC – Measures sharp moves in the bond market 2) Z-Score of the 10Y – Captures statistical extremes 3) NSHF (Net Highs–Lows) – Signals internal market strength or weakness 4) TLT ROC + VIX – Confirmations of flight to safety and volatility-driven fear When all conditions align, BBS marks either a For-Sure Buy or For-Sure Sell — these are rare, high-confidence signals designed to cut through noise and focus on true market dislocations. 🔧 Features: -Background color and signal arrows on confirmation days -Signals remain visually active for 3 days for added clarity -Fully adjustable thresholds and alert toggles -Plot panel for yield, TLT, NSHF, VIX, and Z-score visuals This tool isn’t designed to fire every day. It’s meant to wait for those moments when the market truly bends — not just wiggles. Best used on major indices (SPY, QQQ, IWM) to assess macro turning points.
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Scatman_Jeff tarafından