GER40 Opening Range Breakout (Advanced)๐ฅ GER40 (DAX40) Opening Range Breakout Strategy
๐ Overview:
This strategy takes advantage of the high volatility and liquidity during the Frankfurt and London session openings (8:00โ10:00 CET). Itโs especially suitable for day traders who want to capitalize on early momentum.
โ
Strategy Steps:
1. Mark the Opening Range (08:00โ08:15 CET)
Wait for the first 15 minutes after the Frankfurt open (08:00 CET).
Draw horizontal lines at the high and low of this range.
2. Entry Rules:
Buy when price breaks above the opening range high with strong volume.
Sell (short) when price breaks below the opening range low with strong volume.
3. Confirmation (optional but helpful):
Use a momentum indicator like RSI (above 50 for long, below 50 for short) or MACD crossing above/below the signal line.
Look for volume spike at breakout for validation.
4. Stop-Loss:
Set just below the range low (for long) or above the range high (for short).
Or use a fixed pip/point stop-loss like 15โ25 points depending on current volatility.
5. Take Profit / Exit:
1:1.5 to 1:2 Risk/Reward Ratio.
Or scale out at fixed points (e.g., +20, +40).
Or trail stop after price moves in favor by +20 points.
๐ Additional Filters to Improve Accuracy:
Check macroeconomic calendar (avoid entering during red news like ECB, German CPI, etc.).
Use VWAP as a dynamic support/resistance for bias direction.
Use 5-min or 15-min charts for better signal clarity.
๐ Example:
Letโs say the DAX opens at 08:00 CET, and by 08:15, the high is 18,000 and the low is 17,950.
If price breaks above 18,000 with volume and RSI > 50, enter long.
Place stop at 17,950 or slightly below.
Take profit at 18,030โ18,050 or trail stop.
๐ง Pro Tips:
GER40 is highly volatile, so ensure your risk per trade is small (e.g., 1% or less).
Avoid trading around major news (ECB rate decisions, German GDP, etc.).
Best sessions for GER40: Frankfurt Open (08:00 CET) and London Open (09:00 CET).
Penunjuk dan strategi
MACD Ignored Candle SignalsGBI AND RBI WITH MACD CONFIRMATION
Gives buy and sell signals based on a simple candlestick pattern that co-aligns with the macd momentum. earliest signals based on the trend are usually the best entries
Pivot Swings w Table Pivot Swings w Table โ Intraday Structure & Range Analyzer
This indicator identifies key pivot highs and lows on the chart and highlights market structure shifts using a real-time table display. It helps traders visually confirm potential trade setups by tracking unbroken swing points and measuring the range between the most recent pivots.
๐ Features:
๐น Automatic Pivot Detection using configurable left/right bar logic.
๐น Unbroken Pivot Filtering โ only pivots that haven't been invalidated by price are displayed.
๐น Dynamic Range Table with:
Latest valid Pivot High and Pivot Low
Total Range Width
Upper & Lower 25% range thresholds (useful for value/imbalance analysis)
๐น Trend-Based Color Coding โ the table background changes based on which pivot (high or low) occurred more recently:
๐ฅ Red: Downward bias (last pivot was a lower high)
๐ฉ Green: Upward bias (last pivot was a higher low)
๐น Optional extension of pivot levels to the right of the chart for support/resistance confluence.
โ๏ธ How to Use:
Adjust the Left Bars and Right Bars inputs to fine-tune how swings are defined.
Look for price reacting near the Upper or Lower 25% zones to anticipate mean reversion or breakout setups.
Use the trend color of the table to confirm directional bias, especially useful during consolidation or retracement periods.
๐ก Best For:
Intraday or short-term swing traders
Traders who use market structure, support/resistance, or trend-based strategies
Those looking to avoid low-quality trades in tight ranges
โ
Built for overlay use on price charts
๐ Works on all symbols and timeframes
๐ง No repainting โ pivots are confirmed with completed bars
Momentum Regression [BackQuant]Momentum Regression
The Momentum Regression is an advanced statistical indicator built to empower quants, strategists, and technically inclined traders with a robust visual and quantitative framework for analyzing momentum effects in financial markets. Unlike traditional momentum indicators that rely on raw price movements or moving averages, this tool leverages a volatility-adjusted linear regression model (y ~ x) to uncover and validate momentum behavior over a user-defined lookback window.
Purpose & Design Philosophy
Momentum is a core anomaly in quantitative finance โ an effect where assets that have performed well (or poorly) continue to do so over short to medium-term horizons. However, this effect can be noisy, regime-dependent, and sometimes spurious.
The Momentum Regression is designed as a pre-strategy analytical tool to help you filter and verify whether statistically meaningful and tradable momentum exists in a given asset. Its architecture includes:
Volatility normalization to account for differences in scale and distribution.
Regression analysis to model the relationship between past and present standardized returns.
Deviation bands to highlight overbought/oversold zones around the predicted trendline.
Statistical summary tables to assess the reliability of the detected momentum.
Core Concepts and Calculations
The model uses the following:
Independent variable (x): The volatility-adjusted return over the chosen momentum period.
Dependent variable (y): The 1-bar lagged log return, also adjusted for volatility.
A simple linear regression is performed over a large lookback window (default: 1000 bars), which reveals the slope and intercept of the momentum line. These values are then used to construct:
A predicted momentum trendline across time.
Upper and lower deviation bands , representing ยฑn standard deviations of the regression residuals (errors).
These visual elements help traders judge how far current returns deviate from the modeled momentum trend, similar to Bollinger Bands but derived from a regression model rather than a moving average.
Key Metrics Provided
On each update, the indicator dynamically displays:
Momentum Slope (ฮฒโ): Indicates trend direction and strength. A higher absolute value implies a stronger effect.
Intercept (ฮฒโ): The predicted return when x = 0.
Pearsonโs R: Correlation coefficient between x and y.
Rยฒ (Coefficient of Determination): Indicates how well the regression line explains the variance in y.
Standard Error of Residuals: Measures dispersion around the trendline.
t-Statistic of ฮฒโ: Used to evaluate statistical significance of the momentum slope.
These statistics are presented in a top-right summary table for immediate interpretation. A bottom-right signal table also summarizes key takeaways with visual indicators.
Features and Inputs
โ
Volatility-Adjusted Momentum : Reduces distortions from noisy price spikes.
โ
Custom Lookback Control : Set the number of bars to analyze regression.
โ
Extendable Trendlines : For continuous visualization into the future.
โ
Deviation Bands : Optional ยฑฯ multipliers to detect abnormal price action.
โ
Contextual Tables : Help determine strength, direction, and significance of momentum.
โ
Separate Pane Design : Cleanly isolates statistical momentum from price chart.
How It Helps Traders
๐ Quantitative Strategy Validation:
Use the regression results to confirm whether a momentum-based strategy is worth pursuing on a specific asset or timeframe.
๐ Regime Detection:
Track when momentum breaks down or reverses. Slope changes, drops in Rยฒ, or weak t-stats can signal regime shifts.
๐ Trade Filtering:
Avoid false positives by entering trades only when momentum is both statistically significant and directionally favorable.
๐ Backtest Preparation:
Before running costly simulations, use this tool to pre-screen assets for exploitable return structures.
When to Use It
Before building or deploying a momentum strategy : Test if momentum exists and is statistically reliable.
During market transitions : Detect early signs of fading strength or reversal.
As part of an edge-stacking framework : Combine with other filters such as volatility compression, volume surges, or macro filters.
Conclusion
The Momentum Regression indicator offers a powerful fusion of statistical analysis and visual interpretation. By combining volatility-adjusted returns with real-time linear regression modeling, it helps quantify and qualify one of the most studied and traded anomalies in finance: momentum.
fadi ffa This script is for educational purposes only. It draws historical pivot points and labels them on the chart to help users visualize price levels. It does not provide trading signals, recommendations, or any financial advice. Use at your own risk. The author is not responsible for any decisions made based on this script.
SymFlex Band - RSI-MAD Asymmetric
๐ฎ SymFlex Band โ RSI-MAD Asymmetric Band by Kwang Il Lee
Source: surirang.com
The SymFlex Band is a unique asymmetric envelope built on a hybrid concept that fuses RSI momentum dynamics with MAD (Mean Absolute Deviation). Unlike traditional symmetric bands (like Bollinger Bands or Keltner Channels), this band expands and contracts asymmetrically, reflecting the directional momentum of the market.
๐ฏ Core Innovation
๐ธ RSI-Based Asymmetry
This band is not centered merely on price volatility. Instead, it uses the RSI's deviation from the neutral line (50) to determine whether bullish or bearish pressure is dominating โ dynamically expanding or compressing the upper/lower bands accordingly.
๐ธ MAD-Weighted Scaling
To ensure the band responds accurately to real price deviation, MAD is used instead of standard deviation or ATR. It provides a more robust and median-sensitive envelope for noisy or volatile markets.
๐ธ Dynamic Adaptation
The band is adaptive in both direction and width:
When RSI rises above 50, the upper band stretches wider.
When RSI falls below 50, the lower band stretches instead.
A minimum width threshold ensures stability.
๐ How to Use
Use breakouts from the band as potential trend signals.
Confirm market strength via table: Check if price is โIn Rangeโ or breaking out.
Monitor the correlation between MAD and RSI in the dynamic table to detect momentum sync.
๐ Technical Notes
Supports multiple MA types (SMA, EMA, TEMA, DEMA, Zerolag, etc.) as the band basis.
Designed for both trend-following and range-trading interpretations.
Fully responsive to different market conditions through minimal user inputs.
๐จ Note: This is not a combination of unrelated indicators. The RSI-MAD structure is purpose-built to represent a new type of envelope based on directional momentum and deviation sensitivity.
Polynomial Regression + RSI Explosive Zones// Sonic R
EMA_len = input.int(89, title="EMA Signal Length")
HiLoLen = input.int(34, title="PAC EMA Length")
// Polynomial Regression
regression_length = input.int(10, title="Regression Length")
fractal_size = input.int(2, title="Fractal Size")
// Color inputs for regression
colorMid = input.color(color.red, title="Mid Line Color")
colorMax = input.color(color.orange, title="Max Line Color")
colorMin = input.color(color.green, title="Min Line Color")
colorUpper = input.color(color.blue, title="Upper Line Color")
colorLower = input.color(color.purple, title="Lower Line Color")
// === SONIC R ===
// PAC lines
pacC = ta.ema(close, HiLoLen)
pacL = ta.ema(low, HiLoLen)
pacH = ta.ema(high, HiLoLen)
plot(pacL, title="PAC Low EMA", color=color.new(color.blue, 50))
plot(pacH, title="PAC High EMA", color=color.new(color.blue, 50))
plot(pacC, title="PAC Close EMA", color=color.new(color.blue, 0), linewidth=2)
fill(plot(pacL), plot(pacH), color=color.aqua, transp=90, title="Fill PAC")
// EMA lines
ema610 = ta.ema(close, 610)
ema200 = ta.ema(close, 200)
emaSignal = ta.ema(close, EMA_len)
plot(ema610, title="EMA 610", color=color.white)
plot(ema200, title="EMA 200", color=color.fuchsia)
plot(emaSignal, title="EMA Signal", color=color.orange, linewidth=2)
FVG IndicatorYet another indicator allowing you to plot FVGs with the following specific features:
FVG Detection: It automatically identifies bullish (BISI) and bearish (SIBI) FVGs based on the relationship between candle highs and lows.
Clear Visualization: It draws boxes to represent the FVGs and adds a median line for each FVG, making them easier to identify.
Dynamic Styles: The indicator adapts the appearance of FVGs (color and border style) based on their current state:
Untested: When the price has not yet interacted with the FVG.
Tested (Partially Traversed): When the price has entered the FVG.
Fully Traversed (Unmitigated): When the price has completely crossed the FVG but has not yet "invalidated" it (closed beyond the FVG).
Mitigated: When the FVG is invalidated by price action, it disappears from the chart to avoid clutter. This disappearance only occurs after the closing of the mitigating candle.
Full Customization: You can adjust all colors and border styles for each FVG state via the indicator's settings, as well as the maximum number of FVGs displayed.
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Multi-Timeframe PivotDescription:
This script provides an advanced tool for multi-timeframe pivot point
analysis. It identifies swing points based on a candle's relationship to
its neighbors. The default strength settings of 1 align with the Inner
Circle Trader (ICT) concept of market structure.
The ICT concept defines a swing point based on a simple 3-candle pattern:
- A swing high is a candle where the candles to the immediate left and right
both have lower highs.
- A swing low is a candle where the candles to the immediate left and right
both have higher lows.
A key feature is its ability to accurately calculate and translate pivot
points from up to five higher timeframes (HTFs) and display them
precisely on a lower timeframe (LTF) chart.
NOTE: This indicator is designed to show HTF data on an LTF chart.
If you select a timeframe in the settings that is lower than your
current chart's timeframe, it will show pivots for the chart's
timeframe instead.
Core Features:
- Up to five independent higher timeframes.
- Per-timeframe customization for pivot strength (left/right bars) and color.
- Optional "Watchlines" that project the price of each pivot forward,
complete with a text label identifying the timeframe.
- An optional "Alignment Model" that colors the background when price is
aligned across all active timeframes (requires at least 2 TFs to be enabled).
Default State:
For a clean initial application, the Watchlines and Alignment Model features
are disabled by default but can be enabled in the settings.
VEP - Volume Explosion Predictor๐ฅ VEP - Volume Explosion Predictor
General Overview
The Volume Explosion Predictor (VEP) is an advanced indicator that analyzes volume peaks to predict when the next volume explosion might occur. Using statistical analysis on historical patterns, it provides accurate probabilities on moments of greater trading activity.
MAIN FEATURES
๐ฏ Intelligent volume peak detection
Automatically identifies significant volume peaks
Anti-consecutive filter to avoid redundant signals
Customizable threshold for detection sensitivity
๐ Advanced statistical analysis
Calculates the average distance between volume peaks
Monitors the number of sessions without peaks
Tracks the maximum historical range without activity
๐ฎ Predictive system
Dynamic probability: Calculates the probability of an imminent peak
Visual indicators: Background colors that change based on probability
Time forecasts: Estimates remaining sessions to the next peak
๐ Visual signals
Colored arrows: Green for bullish peaks, red for bearish peaks
Statistics table: Complete real-time overview
ALERT SYSTEM
๐จ Three Alert Levels
New Valid Volume Peak: New peak detected
Approaching Prediction: Increasing probability
High Peak Probability: High probability of explosion
HOW TO USE IT
๐ Recommended setup
Timeframe : Works on all timeframes but daily, weekly or monthly timeframe usage is recommended. In any case, it should always be used consistently with your time horizon
Markets : Stocks, crypto, forex, commodities
Threshold for volume peak realization : It's recommended to start with 2.0x (i.e., twice the volume average) for normal markets, 1.5x for more volatile markets. This parameter can be set in the settings as desired
๐จ Visual interpretation
Green Arrows : Peak during bullish candle
Red Arrows : Peak during bearish candle
Red Background : High probability (>90%) of new peak
Yellow Background : Medium probability (50-70%)
๐ STATISTICS TABLE
The table shows:
Total peaks analyzed
Average distance between peaks
Current sessions without peaks
Forecast remaining sessions
Percentage probability
Volume threshold needed for peak realization
STRATEGIC ADVANTAGES
๐ฏ For Day Traders
Anticipates moments of greater volatility for analysis, supporting the evaluation of trading setups and providing context on low volume periods
๐ For Swing Traders
Identifies high-probability volume patterns, supporting breakout analysis with volume and improving understanding of market timing
๐ For Technical Analysts
Understands the stock's volume patterns.
Helps evaluate the historical market interest and supports quantitative research and analysis
OTHER THINGS TO KNOW...
A) Anti-Consecutive Algorithm : allows to avoid multiple and consecutive volume signals and peaks at close range
B) Statistical Validation : Uses standard deviation for accuracy
C) Memory Management : Limits historical data for optimal performance
D) Compatibility : Works with all TradingView chart types
โ ๏ธ IMPORTANT DISCLAIMER
This indicator is exclusively a technical analysis tool for studying volume patterns. It does not provide investment advice, trading signals or entry/exit points. All trading decisions are at the complete discretion and responsibility of the user. Always use in combination with other technical and fundamental analysis and proper risk management.
DESCRIZIONE IN ITALIANO
๐ฅ VEP - Volume Explosion Predictor
Panoramica Generale
Il Volume Explosion Predictor (VEP) รจ un indicatore avanzato che analizza i picchi di volume per prevedere quando potrebbe verificarsi la prossima esplosione di volume. Utilizzando analisi statistiche sui pattern storici, fornisce probabilitร accurate sui momenti di maggiore attivitร di trading.
CARATTERISTICHE PRINCIPALI
๐ฏ Rilevamento intelligente dei picchi di volume
- Identifica automaticamente i picchi di volume significativi
- Filtro anti-consecutivo per evitare segnali ridondanti
- Soglia personalizzabile per la sensibilitร del rilevamento
๐ Analisi statistica avanzata
Calcola la distanza media tra i picchi di volume
Monitora il numero di sessioni senza picchi
Traccia il range massimo storico senza attivitร
๐ฎ Sistema predittivo
Probabilitร dinamica: Calcola la probabilitร di un imminente picco
Indicatori visivi: Colori di sfondo che cambiano in base alla probabilitร
Previsioni temporali: Stima delle sessioni rimanenti al prossimo picco
๐ Segnali visivi
1) Frecce colorate: Verdi per picchi rialzisti, rosse per ribassisti
2) Tabella statistiche: Panoramica completa in tempo reale
SISTEMA DI ALERT
๐จ Tre Livelli di Alert
1) New Valid Volume Peak: Nuovo picco rilevato
2) Approaching Prediction: Probabilitร in aumento
3) High Peak Probability: Alta probabilitร di esplosione
COME UTILIZZARLO
๐ Setup consigliato
- Timeframe : Funziona su tutti i timeframe ma รจ consigliabile un utilizzo su timeframe giornaliero, settimanale o mensile. In ogni caso va sempre utilizzato coerentemente con il proprio orizzonte temporale
- Mercati : Azioni, crypto, forex, commodities
- Limite affinchรฉ si realizzi il picco di volumi : Si consiglia di iniziare con 2.0x (ovvero due volte la media dei volumi) per mercati normali, 1.5x per mercati piรน volatili. Questo parametro puรฒ essere settato nelle impostazioni a proprio piacimento
๐จ Interpretazione visuale
Frecce Verdi : Picco durante candela rialzista
Frecce Rosse : Picco durante candela ribassista
Sfondo Rosso : Alta probabilitร (>90%) di nuovo picco
Sfondo Giallo : Probabilitร media (50-70%)
๐ TABELLA STATISTICHE
La tabella mostra:
1. Totale picchi analizzati
2. Distanza media tra picchi
3. Sessioni attuali senza picchi
4. Previsione sessioni rimanenti
5. Probabilitร percentuale
6. Soglia volume necessaria affinchรฉ si realizzi il picco di volumi
VANTAGGI STRATEGICI
๐ฏ Per Day Traders
Anticipa i momenti di maggiore volatilitร per analisi, supportando la valutazione dei setup di trading e fornendo al contempo un contesto sui periodi di basso volume
๐ Per Swing Traders
1. Identifica pattern di volume ad alta probabilitร , supportando l'analisi dei breakout con volume e migliorando la comprensione dei tempi di mercato
๐ Per Analisti Tecnici
Comprende i pattern di volume del titolo.
Aiuta a fare una valutazione dell'interesse storico del mercato ed รจ di supporto alla ricerca e analisi quantitativa
ALTRE COSE DA SAPERE...
A) Algoritmo Anti-Consecutivo : permette di evitare segnali e picchi di volume multipli e consecutivi multipli a distanza ravvicinata
B) Validazione Statistica : Utilizza deviazione standard per l'accuratezza
C) Gestione Memoria : Limita i dati storici per performance ottimali
D) Compatibilitร : Funziona con tutti i tipi di grafico TradingView
โ ๏ธ DISCLAIMER IMPORTANTE
Questo indicatore รจ esclusivamente uno strumento di analisi tecnica per lo studio dei pattern di volume. Non fornisce consigli di investimento, segnali di trading o punti di ingresso/uscita. Tutte le decisioni di trading sono a completa discrezione e responsabilitร dell'utente. Utilizzare sempre in combinazione con altre analisi tecniche, fondamentali e una adeguata gestione del rischio.
ๅธๅบๅไธๅบฆๅฎฝๅบฆ (S&P/Nasdaq)ๆๆ ๅ่ฝๅ่งฃ่ฏป๏ผ
ไธๆ่ๅๅๆข๏ผ ๅจๆๆ ็่ฎพ็ฝฎ๏ผ็นๅปๆๆ ๅ็งฐๆ่พน็ๅฐ้ฝฟ่ฝฎๅพๆ ๏ผไธญ๏ผๆจๅฏไปฅ่ฝปๆพๅฐไป "S&P 500" ๅๆขๅฐ "Nasdaq 100"๏ผๆๆ ไผ่ชๅจๆดๆฐๆพ็คบๅฏนๅบ็ๆฐๆฎใ
ๅๆกๆพ็คบ๏ผ ่่ฒ็็ฒ็บฟไปฃ่กจ50ๅคฉๅธๅบๅไธๅบฆ๏ผไธญๆๅฅๅบทๅบฆ๏ผ๏ผๆฉ่ฒ็็ป็บฟไปฃ่กจ20ๅคฉๅธๅบๅไธๅบฆ๏ผ็ญๆๆ
็ปช๏ผ๏ผไธค่
ๅจๅไธไธชๅฏๅพไธญ๏ผๆนไพฟๆจ่ฟ่กๅฏนๆฏๅ่งๅฏใ
ๅ
ณ้ฎๆฐดๅนณ็บฟ๏ผ
50%็บฟ (็ฐ่ฒๅฎ็บฟ): ่ฟๆฏๆ้่ฆ็ๅค็ฉบๅ็็บฟใๅฝๆๆ ็บฟๆ็ปญๅจ50%ไปฅไธๆถ๏ผ่กจๆๅธๅบๅคไบๅผบๅฟ๏ผๅไนๅๅคไบๅผฑๅฟใ
80%็บฟ (็บข่ฒ่็บฟ): ๅฝ็ญๆๆๆ ๏ผๆฉ่ฒ็บฟ๏ผ่ฟๅ
ฅ80%ไปฅไธๆถ๏ผๅฏ่ฝๆๅณ็ๅธๅบๆ
็ปช่ฟ็ญ๏ผ่ฟๅ
ฅ่ถ
ไนฐๅบใ
20%็บฟ (็ปฟ่ฒ่็บฟ): ๅฝ็ญๆๆๆ ่ฟๅ
ฅ20%ไปฅไธๆถ๏ผๅฏ่ฝๆๅณ็ๅธๅบๆ
็ปช่ฟๅบฆๆฒ่ง๏ผ่ฟๅ
ฅ่ถ
ๅๅบ๏ผๆๆถๆฏๆบไผ็ไฟกๅทใ
่็ฆปๅๆ๏ผ ๆจๅฏไปฅ่งๅฏๅฝไธปๅพๆๆฐ๏ผๅฆSPY๏ผๅๅบๆฐ้ซๆถ๏ผ่ฟไธชๆๆ ๆฏๅฆไนๅๅบๆฐ้ซใๅฆๆๆๆฐๆฐ้ซ่ๆๆ ๆฒกๆ๏ผๅฐฑๅฝขๆไบ้กถ่็ฆป๏ผๆฏๅธๅบๅ
้จๅ้ๅๅผฑ็่ญฆ็คบไฟกๅทใ
Indicator function and interpretation:
Drop-down menu switch: In the indicator settings (click the small gear icon next to the indicator name), you can easily switch from "S&P 500" to "Nasdaq 100", and the indicator will automatically update to display the corresponding data.
Same frame display: The thick blue line represents the 50-day market participation (medium-term health), and the thin orange line represents the 20-day market participation (short-term sentiment). Both are in the same sub-chart for your comparison and observation.
Key horizontal lines:
50% line (solid gray line): This is the most important dividing line between long and short. When the indicator line is continuously above 50%, it indicates that the market is strong; otherwise, it is weak.
80% line (dashed red line): When the short-term indicator (orange line) enters above 80%, it may mean that the market sentiment is overheated and enters the overbought zone.
20% line (dashed green line): When the short-term indicator enters below 20%, it may mean that the market sentiment is overly pessimistic and enters the oversold zone, which is sometimes a signal of opportunity.
Divergence analysis: You can observe whether this indicator also hits a new high when the main chart index (such as SPY) hits a new high. If the index hits a new high but the indicator does not, it forms a top divergence, which is a warning signal of weakening internal market forces.
Simple v6 MovingโAverage TrendTo provide a visual guide for trend direction using EMA crossovers, supported by a dynamic trailing stop for potential exit zones. It shows whether the price is above or below a moving average and highlights shifts in trend with labeled signals and a stop-line.
โ๏ธ How It Works
1. EMA Calculation
It computes a single EMA (default: 20-period) from the current chartโs close price.
The EMA represents the short-term trend.
GER40 Opening Range Breakout (Simple)โ
GER40 Opening Range Breakout Strategy โ Trading Plan
๐ฏ Objective:
Capture early momentum after the Frankfurt open by trading breakouts of the initial 15-minute range.
๐ Rules Summary:
Instrument: GER40 (DAX40)
Timeframe: 5-minute or 15-minute chart
Session Focus: 08:00โ10:00 CET
Opening Range: 08:00โ08:15 CET
๐ Entry Conditions:
Long entry: Price breaks above the 08:00โ08:15 high with volume confirmation.
Short entry: Price breaks below the 08:00โ08:15 low with volume confirmation.
Optional confirmation: RSI > 50 for long, RSI < 50 for short.
Omori Law Recovery PhasesWhat is the Omori Law?
Originally a seismological model, the Omori Law describes how earthquake aftershocks decay over time. It follows a power law relationship: the frequency of aftershocks decreases roughly proportionally to 1/(t+c)^p, where:
t = time since the main shock
c = time offset constant
p = power law exponent (typically around 1.0)
Application to the markets
Financial markets experience "aftershocks" similar to earthquakes:
Market Crashes as Main Shocks: Major market declines (crashes) represent the initial shock event.
Volatility Decay: After a crash, market volatility typically declines following a power law pattern rather than a linear or exponential one.
Behavioral Components: The decay pattern reflects collective market psychology - initial panic gives way to uncertainty, then stabilization, and finally normalization.
The Four Recovery Phases
The Omori decay pattern in markets can be divided into distinct phases:
Acute Phase: Immediately after the crash, characterized by extreme volatility, panic selling, and sharp reversals. Trading is hazardous.
Reaction Phase: Volatility begins decreasing, but markets test previous levels. False rallies and retests of lows are common.
Repair Phase: Structure returns to the market. Volatility approaches normal levels, and traditional technical analysis becomes more reliable.
Recovery Phase: The final stage where market behavior normalizes completely. The impact of the original shock has fully decayed.
Why It Matters for Traders
Understanding where the market stands in this recovery cycle provides valuable context:
Risk Management: Adjust position sizing based on the current phase
Strategy Selection: Different strategies work in different phases
Psychological Preparation: Know what to expect based on the phase
Time Horizon Guidance: Each phase suggests appropriate time frames for trading
EMA + RSI Trend Strength v6โ
Indicator Name:
EMA + RSI Trend Strength v6
๐ Purpose:
This indicator combines trend detection (via EMA) with momentum confirmation (via RSI) to help traders identify high-probability bullish or bearish conditions. It also provides optional visual buy/sell signals and trend shading directly on the chart.
โ๏ธ Core Components:
1. Inputs:
emaLen: Length of the Exponential Moving Average (default: 50).
rsiLen: RSI period for momentum analysis (default: 14).
rsiOB, rsiOS: RSI levels for context (default: 70/30, but mainly 50 is used for trend strength).
showSignals: Toggle for showing entry signals.
2. Logic:
Bullish Condition:
Price is above the EMA
RSI is above 50 (indicating positive momentum)
Bearish Condition:
Price is below the EMA
RSI is below 50
3. Visuals & Outputs:
EMA Line: Orange line on the price chart showing the trend direction.
Buy Signal: Green triangle appears below the candle when bullish condition is met.
Sell Signal: Red triangle appears above the candle when bearish condition is met.
Background Color:
Light green when bullish
Light red when bearish
Entry Signal: Low X% Lower Than OpenFires off a signal whenever the Low of the candle is below a certain percentage threshold compared to the open
MACD Histogram v6This script plots the MACD histogram, a popular momentum indicator used to identify bullish/bearish momentum shifts, convergence/divergence between moving averages, and potential entry/exit signals.
Core Components:
Inputs:
fast โ Period for the fast EMA (default: 12).
slow โ Period for the slow EMA (default: 26).
signal โ Period for the signal line EMA (default: 9).
My Strategy: Uptrend Pullback ScreenerUptrend Pullback Screener. this will filter the stock who is in uptrend and ready to pullback from support.
Entry Signal: Price X% Lower Than OpenEntry signal printed when current price is below a certain threshold compared to open
Tsallis Entropy Market RiskTsallis Entropy Market Risk Indicator
What Is It?
The Tsallis Entropy Market Risk Indicator is a market analysis tool that measures the degree of randomness or disorder in price movements. Unlike traditional technical indicators that focus on price patterns or momentum, this indicator takes a statistical physics approach to market analysis.
Scientific Foundation
The indicator is based on Tsallis entropy, a generalization of traditional Shannon entropy developed by physicist Constantino Tsallis. The Tsallis entropy is particularly effective at analyzing complex systems with long-range correlations and memory effectsโprecisely the characteristics found in crypto and stock markets.
The indicator also borrows from Log-Periodic Power Law (LPPL).
Core Concepts
1. Entropy Deficit
The primary measurement is the "entropy deficit," which represents how far the market is from a state of maximum randomness:
Low Entropy Deficit (0-0.3): The market exhibits random, uncorrelated price movements typical of efficient markets
Medium Entropy Deficit (0.3-0.5): Some patterns emerging, moderate deviation from randomness
High Entropy Deficit (0.5-0.7): Strong correlation patterns, potentially indicating herding behavior
Extreme Entropy Deficit (0.7-1.0): Highly ordered price movements, often seen before significant market events
2. Multi-Scale Analysis
The indicator calculates entropy across different timeframes:
Short-term Entropy (blue line): Captures recent market behavior (20-day window)
Long-term Entropy (green line): Captures structural market behavior (120-day window)
Main Entropy (purple line): Primary measurement (60-day window)
3. Scale Ratio
This measures the relationship between long-term and short-term entropy. A healthy market typically has a scale ratio above 0.85. When this ratio drops below 0.85, it suggests abnormal relationships between timeframes that often precede market dislocations.
How It Works
Data Collection: The indicator samples price returns over specific lookback periods
Probability Distribution Estimation: It creates a histogram of these returns to estimate their probability distribution
Entropy Calculation: Using the Tsallis q-parameter (typically 1.5), it calculates how far this distribution is from maximum entropy
Normalization: Results are normalized against theoretical maximum entropy to create the entropy deficit measure
Risk Assessment: Multiple factors are combined to generate a composite risk score and classification
Market Interpretation
Low Risk Environments (Risk Score < 25)
Market is functioning efficiently with reasonable randomness
Price discovery is likely effective
Normal trading and investment approaches appropriate
Medium Risk Environments (Risk Score 25-50)
Increasing correlation in price movements
Beginning of trend formation or momentum
Time to monitor positions more closely
High Risk Environments (Risk Score 50-75)
Strong herding behavior present
Market potentially becoming one-sided
Consider reducing position sizes or implementing hedges
Extreme Risk Environments (Risk Score > 75)
Highly ordered market behavior
Significant imbalance between buyers and sellers
Heightened probability of sharp reversals or corrections
Practical Application Examples
Market Tops: Often characterized by gradually increasing entropy deficit as momentum builds, followed by extreme readings near the actual top
Market Bottoms: Can show high entropy deficit during capitulation, followed by normalization
Range-Bound Markets: Typically display low and stable entropy deficit measurements
Trending Markets: Often show moderate entropy deficit that remains relatively consistent
Advantages Over Traditional Indicators
Forward-Looking: Identifies changing market structure before price action confirms it
Statistical Foundation: Based on robust mathematical principles rather than empirical patterns
Adaptability: Functions across different market regimes and asset classes
Noise Filtering: Focuses on meaningful structural changes rather than price fluctuations
Limitations
Not a Timing Tool: Signals market risk conditions, not precise entry/exit points
Parameter Sensitivity: Results can vary based on the chosen parameters
Historical Context: Requires some historical perspective to interpret effectively
Complementary Tool: Works best alongside other analysis methods
Enjoy :)
Avg High/Low Lines with TP & SL์๋ ์ฝ๋๋ TradingView Pine Script v6์ผ๋ก ์์ฑ๋ ์คํฌ๋ฆฝํธ๋ก, ์ฃผ์ด์ง ์บ๋ค ์ ๋์์ ํ๊ท ๊ณ ๊ฐ์ ์ ๊ฐ๋ฅผ ๊ณ์ฐํด์ ๊ทธ ์์ ์ํ์ ์ ๊ทธ๋ฆฌ๋ฉฐ, ํด๋น ์ํ์ ๋ํ ์ ์ง์
๊ฐ๊ฒฉ์ ๊ธฐ๋กํ๊ณ , ์์ ๊ฐ(SL)์ ๋ชฉํ๊ฐ(TP)๋ฅผ ์๋์ผ๋ก ๊ณ์ฐํ์ฌ ํ์ํ๋ ์ ๋ต์
๋๋ค. ์๋ฆผ(alert) ๊ธฐ๋ฅ๋ ํฌํจ๋์ด ์์ต๋๋ค.
์ฝ๋ ์ฃผ์ ๊ธฐ๋ฅ ์์ฝ
length ๊ธฐ๊ฐ ๋์ ํ๊ท ๊ณ ๊ฐ, ์ ๊ฐ๋ฅผ ๋จ์ ์ด๋ํ๊ท (SMA)์ผ๋ก ๊ณ์ฐ
ํ๊ท ๊ณ ๊ฐ์ , ์ ๊ฐ์ ์ํ์ ์ ์ผ์ ๋ฐ ๊ฐ์๋งํผ ์ข์ฐ ์ฐ์ฅํ์ฌ ์ฐจํธ์ ํ์
ํ๊ท ๊ณ ๊ฐ ๋ํ ์ ๋งค์ ์ง์
, ํ๊ท ์ ๊ฐ ๋ํ ์ ๋งค๋ ์ง์
์ฒ๋ฆฌ
์ง์
๊ฐ๊ฒฉ ์ ์ฅ ๋ฐ ์ํ ๊ด๋ฆฌ (inLong, inShort ํ๋๊ทธ)
์์ ๊ฐ(SL): ๋กฑ์ด๋ฉด ํ๊ท ์ ๊ฐ, ์์ด๋ฉด ํ๊ท ๊ณ ๊ฐ
๋ชฉํ๊ฐ(TP): ์ง์
๊ฐ์์ ์์ ๊ฑฐ๋ฆฌ์ 1.5๋ฐฐ๋งํผ ์ค์
์ง์
๊ฐ ๊ธฐ์ค์ผ๋ก TP, SL ๋ผ์ธ๊ณผ ๋ผ๋ฒจ ํ์
์๋จ ๋ํ ํ ์ข
๊ฐ ๋ง๊ฐ ์ ๋งค์ ์๋ฆผ, ํ๋จ ๋ํ ํ ์ข
๊ฐ ๋ง๊ฐ ์ ๋งค๋ ์๋ฆผ
Sure! Hereโs the English explanation of your TradingView Pine Script v6 code:
Summary of Key Features
Calculates the simple moving average (SMA) of the high and low prices over a user-defined number of candles (length).
Draws horizontal lines for the average high and average low, extending them a specified number of bars to the left and right on the chart.
Detects breakouts above the average high to trigger a long entry, and breakouts below the average low to trigger a short entry.
Records the entry price and manages trade states using flags (inLong, inShort).
Sets the stop loss (SL) at the average low for long positions, and at the average high for short positions.
Calculates the take profit (TP) level based on the entry price plus 1.5 times the stop loss distance.
Draws lines and labels for the TP and SL levels starting from the entry bar, extended to the right.
Sends alerts when the price closes above the average high after a breakout (long signal), or closes below the average low after a breakout (short signal).
-onestar-
Khalid's Custom ForecastThe indicator printed on the chart is as expected beads on the information for last 5 years , this indicator could be linked to others to give future price actions
