[GYTS-CE] Market Regime Detector🧊 Market Regime Detector (Community Edition)
🌸 Part of GoemonYae Trading System (GYTS) 🌸
🌸 --------- INTRODUCTION --------- 🌸
💮 What is the Market Regime Detector?
The Market Regime Detector is an advanced, consensus-based indicator that identifies the current market state to increase the probability of profitable trades. By distinguishing between trending (bullish or bearish) and cyclic (range-bound) market conditions, this detector helps you select appropriate tactics for different environments. Instead of forcing a single strategy across all market conditions, our detector allows you to adapt your approach based on real-time market behaviour.
💮 The Importance of Market Regimes
Markets constantly shift between different behavioural states or "regimes":
• Bullish trending markets - characterised by sustained upward price movement
• Bearish trending markets - characterised by sustained downward price movement
• Cyclic markets - characterised by range-bound, oscillating behaviour
Each regime requires fundamentally different trading approaches. Trend-following strategies excel in trending markets but fail in cyclic ones, while mean-reversion strategies shine in cyclic markets but underperform in trending conditions. Detecting these regimes is essential for successful trading, which is why we've developed the Market Regime Detector to accurately identify market states using complementary detection methods.
🌸 --------- KEY FEATURES --------- 🌸
💮 Consensus-Based Detection
Rather than relying on a single method, our detector employs two complementary detection methodologies that analyse different aspects of market behaviour:
• Dominant Cycle Average (DCA) - analyzes price movement relative to its lookback period, a proxy for the dominant cycle
• Volatility Channel - examines price behaviour within adaptive volatility bands
These diverse perspectives are synthesised into a robust consensus that minimises false signals while maintaining responsiveness to genuine regime changes.
💮 Dominant Cycle Framework
The Market Regime Detector uses the concept of dominant cycles to establish a reference framework. You can input the dominant cycle period that best represents the natural rhythm of your market, providing a stable foundation for regime detection across different timeframes.
💮 Intuitive Parameter System
We've distilled complex technical parameters into intuitive controls that traders can easily understand:
• Adaptability - how quickly the detector responds to changing market conditions
• Sensitivity - how readily the detector identifies transitions between regimes
• Consensus requirement - how much agreement is needed among detection methods
This approach makes the detector accessible to traders of all experience levels while preserving the power of the underlying algorithms.
💮 Visual Market Feedback
The detector provides clear visual feedback about the current market regime through:
• Colour-coded chart backgrounds (purple shades for bullish, pink for bearish, yellow for cyclic)
• Colour-coded price bars
• Strength indicators showing the degree of consensus
• Customizable colour schemes to match your preferences or trading system
💮 Integration in the GYTS suite
The Market Regime Detector is compatible with the GYTS Suite , i.e. it passes the regime into the 🎼 Order Orchestrator where you can set how to trade the trending and cyclic regime.
🌸 --------- CONFIGURATION SETTINGS --------- 🌸
💮 Adaptability
Controls how quickly the Market Regime detector adapts to changing market conditions. You can see it as a low-frequency, long-term change parameter:
Very Low: Very slow adaptation, most stable but may miss regime changes
Low: Slower adaptation, more stability but less responsiveness
Normal: Balanced between stability and responsiveness
High: Faster adaptation, more responsive but less stable
Very High: Very fast adaptation, highly responsive but may generate false signals
This setting affects lookback periods and filter parameters across all detection methods.
💮 Sensitivity
Controls how sensitive the detector is to market regime transitions. This acts as a high-frequency, short-term change parameter:
Very Low: Requires substantial evidence to identify a regime change
Low: Less sensitive, reduces false signals but may miss some transitions
Normal: Balanced sensitivity suitable for most markets
High: More sensitive, detects subtle regime changes but may have more noise
Very High: Very sensitive, detects minor fluctuations but may produce frequent changes
This setting affects thresholds for regime detection across all methods.
💮 Dominant Cycle Period
This parameter allows you to specify the market's natural rhythm in bars. This represents a complete market cycle (up and down movement). Finding the right value for your specific market and timeframe might require some experimentation, but it's a crucial parameter that helps the detector accurately identify regime changes. Most of the times the cycle is between 20 and 40 bars.
💮 Consensus Mode
Determines how the signals from both detection methods are combined to produce the final market regime:
• Any Method (OR) : Signals bullish/bearish if either method detects that regime. If methods conflict (one bullish, one bearish), the stronger signal wins. More sensitive, catches more regime changes but may produce more false signals.
• All Methods (AND) : Signals only when both methods agree on the regime. More conservative, reduces false signals but might miss some legitimate regime changes.
• Weighted Decision : Balances both methods with equal weighting. Provides a middle ground between sensitivity and stability.
Each mode also calculates a continuous regime strength value that's used for colour intensity in the 'unconstrained' display mode.
💮 Display Mode
Choose how to display the market regime colours:
• Unconstrained regime: Shows the regime strength as a continuous gradient. This provides more nuanced visualisation where the intensity of the colour indicates the strength of the trend.
• Consensus only: Shows only the final consensus regime with fixed colours based on the detected regime type.
The background and bar colours will change to indicate the current market regime:
• Purple shades: Bullish trending market (darker purple indicates stronger bullish trend)
• Pink shades: Bearish trending market (darker pink indicates stronger bearish trend)
• Yellow: Cyclic (range-bound) market
💮 Custom Colour Options
The Market Regime Detector allows you to customize the colour scheme to match your personal preferences or to coordinate with other indicators:
• Use custom colours: Toggle to enable your own colour choices instead of the default scheme
• Transparency: Adjust the transparency level of all regime colours
• Bullish colours: Define custom colours for strong, medium, weak, and very weak bullish trends
• Bearish colours: Define custom colours for strong, medium, weak, and very weak bearish trends
• Cyclic colour: Define a custom colour for cyclic (range-bound) market conditions
🌸 --------- DETECTION METHODS --------- 🌸
💮 Dominant Cycle Average (DCA)
The Dominant Cycle Average method forms a key part of our detection system:
1. Theoretical Foundation :
The DCA method builds on cycle analysis and the observation that in trending markets, price consistently remains on one side of a moving average calculated using the dominant cycle period. In contrast, during cyclic markets, price oscillates around this average.
2. Calculation Process :
• We calculate a Simple Moving Average (SMA) using the specified lookback period - a proxy for the dominant cycle period
• We then analyse the proportion of time that price spends above or below this SMA over a lookback window. The theory is that the price should cross the SMA each half cycle, assuming that the dominant cycle period is correct and price follows a sinusoid.
• This lookback window is adaptive, scaling with the dominant cycle period (controlled by the Adaptability setting)
• The different values are standardised and normalised to possess more resolving power and to be more robust to noise.
3. Regime Classification :
• When the normalised proportion exceeds a positive threshold (determined by Sensitivity setting), the market is classified as bullish trending
• When it falls below a negative threshold, the market is classified as bearish trending
• When the proportion remains between these thresholds, the market is classified as cyclic
💮 Volatility Channel
The Volatility Channel method complements the DCA method by focusing on price movement relative to adaptive volatility bands:
1. Theoretical Foundation :
This method is based on the observation that trending markets tend to sustain movement outside of normal volatility ranges, while cyclic markets tend to remain contained within these ranges. By creating adaptive bands that adjust to current market volatility, we can detect when price behaviour indicates a trending or cyclic regime.
2. Calculation Process :
• We first calculate a smooth base channel center using a low pass filter, creating a noise-reduced centreline for price
• True Range (TR) is used to measure market volatility, which is then smoothed and scaled by the deviation factor (controlled by Sensitivity)
• Upper and lower bands are created by adding and subtracting this scaled volatility from the centreline
• Price is smoothed using an adaptive A2RMA filter, which has a very flat and stable behaviour, to reduce noise while preserving trend characteristics
• The position of this smoothed price relative to the bands is continuously monitored
3. Regime Classification :
• When smoothed price moves above the upper band, the market is classified as bullish trending
• When smoothed price moves below the lower band, the market is classified as bearish trending
• When price remains between the bands, the market is classified as cyclic
• The magnitude of price's excursion beyond the bands is used to determine trend strength
4. Adaptive Behaviour :
• The smoothing periods and deviation calculations automatically adjust based on the Adaptability setting
• The measured volatility is calculated over a period proportional to the dominant cycle, ensuring the detector works across different timeframes
• Both the center line and the bands adapt dynamically to changing market conditions, making the detector responsive yet stable
This method provides a unique perspective that complements the DCA approach, with the consensus mechanism synthesising insights from both methods.
🌸 --------- USAGE GUIDE --------- 🌸
💮 Starting with Default Settings
The default settings (Normal for Adaptability and Sensitivity, Weighted Decision for Consensus Mode) provide a balanced starting point suitable for most markets and timeframes. Begin by observing how these settings identify regimes in your preferred instruments.
💮 Finding the Optimal Dominant Cycle
The dominant cycle period is a critical parameter. Here are some approaches to finding an appropriate value:
• Start with typical values, usually something around 25 works well
• Visually identify the average distance between significant peaks and troughs
• Experiment with different values and observe which provides the most stable regime identification
• Consider using cycle-finding indicators to help identify the natural rhythm of your market
💮 Adjusting Parameters
• If you notice too many regime changes → Decrease Sensitivity or increase Consensus requirement
• If regime changes seem delayed → Increase Adaptability
• If a trending regime is not detected, the market is automatically assigned to be in a cyclic state
• If you want to see more nuanced regime transitions → Try the "unconstrained" display mode (note that this will not affect the output to other indicators)
💮 Trading Applications
Regime-Specific Strategies:
• Bullish Trending Regime - Use trend-following strategies, trail stops wider, focus on breakouts, consider holding positions longer, and emphasize buying dips
• Bearish Trending Regime - Consider shorts, tighter stops, focus on breakdown points, sell rallies, implement downside protection, and reduce position sizes
• Cyclic Regime - Apply mean-reversion strategies, trade range boundaries, apply oscillators, target definable support/resistance levels, and use profit-taking at extremes
Strategy Switching:
Create a set of rules for each market regime and switch between them based on the detector's signal. This approach can significantly improve performance compared to applying a single strategy across all market conditions.
GYTS Suite Integration:
• In the GYTS 🎼 Order Orchestrator, select the '🔗 STREAM-int 🧊 Market Regime' as the market regime source
• Note that the consensus output (i.e. not the "unconstrained" display) will be used in this stream
• Create different strategies for trending (bullish/bearish) and cyclic regimes. The GYTS 🎼 Order Orchestrator is specifically made for this.
• The output stream is actually very simple, and can possibly be used in indicators and strategies as well. It outputs 1 for bullish, -1 for bearish and 0 for cyclic regime.
🌸 --------- FINAL NOTES --------- 🌸
💮 Development Philosophy
The Market Regime Detector has been developed with several key principles in mind:
1. Robustness - The detection methods have been rigorously tested across diverse markets and timeframes to ensure reliable performance.
2. Adaptability - The detector automatically adjusts to changing market conditions, requiring minimal manual intervention.
3. Complementarity - Each detection method provides a unique perspective, with the collective consensus being more reliable than any individual method.
4. Intuitiveness - Complex technical parameters have been abstracted into easily understood controls.
💮 Ongoing Refinement
The Market Regime Detector is under continuous development. We regularly:
• Fine-tune parameters based on expanded market data
• Research and integrate new detection methodologies
• Optimise computational efficiency for real-time analysis
Your feedback and suggestions are very important in this ongoing refinement process!
Multitimeframe
RSI & EMA Crossover Strategy with Daily & Weekly RSI Filter### Algorithm Description: RSI & EMA-Based Trading Strategy with Daily & Weekly RSI Filter
#### **Overview:**
This algorithm is designed to generate trading signals using a combination of **Relative Strength Index (RSI) and Exponential Moving Averages (EMA)**, with a multi-timeframe filter that ensures alignment between the daily and weekly RSI. The strategy aims to capture momentum-based trades while filtering out weak signals using higher timeframe confirmations.
#### **Key Components:**
1. **Primary Indicators:**
- **Relative Strength Index (RSI)**: Used to identify overbought and oversold conditions and confirm momentum direction.
- **Exponential Moving Averages (EMA)**: Used to determine trend direction and dynamic support/resistance levels.
2. **Multi-Timeframe RSI Filter:**
- **Daily RSI (Lower Timeframe)**: Used to identify potential entry points.
- **Weekly RSI (Higher Timeframe)**: Acts as a trend filter to ensure trades align with broader market direction.
#### **Trading Conditions:**
##### **Buy (Long) Entry Conditions:**
1. **Weekly RSI > 50** (indicating bullish momentum on the higher timeframe).
2. **Daily RSI crosses above 50** from below.
3. **Price is above both the 8-EMA and 21-EMA** on the daily timeframe.
4. **Confirmation:** Bullish price action near the EMAs.
##### **Sell (Short) Entry Conditions:**
1. **Weekly RSI < 50** (indicating bearish momentum on the higher timeframe).
2. **Daily RSI crosses below 50** from above.
3. **Price is below both the 8-EMA and 21-EMA** on the daily timeframe.
4. **Confirmation:** Bearish price action near the EMAs.
#### **Exit Strategy:**
- **Profit Target:** Can be set at a fixed percentage (e.g., 2-5%) or based on key resistance/support levels.
- **Stop Loss:** Placed below/above the 21-EMA or at a recent swing low/high.
- **Trailing Stop:** Can be applied based on ATR or moving averages.
#### **Advantages of This Strategy:**
✅ **Multi-Timeframe Confirmation:** Avoids false signals by ensuring alignment between daily and weekly trends.
✅ **Momentum-Based Approach:** Uses RSI for entry confirmation, reducing the risk of trading against the trend.
✅ **Trend Filtering:** EMAs ensure that trades are taken in the direction of the primary trend.
Would you like this converted into Pine Script for automation? 🚀
Higher Timeframe Support/ResistanceMulti-Timeframe Support/Resistance Indicator
This TradingView indicator helps you monitor important support and resistance levels based on the previous candle’s high, low, and close from a higher timeframe. By default, it uses a daily timeframe, but you can adjust this to any timeframe you want.
Key Features:
- Previous Candle High (PCH) and Previous Candle Low (PCL):
These levels are plotted on your chart (if enabled) and can act as potential support and
resistance zones. You can toggle the visibility of these levels.
- Pivot, Resistance (R1), and Support (S1):
The script calculates Pivot, R1 (Resistance), and S1 (Support) levels based on the previous
candle's price action from the selected higher timeframe.
These levels are displayed on your chart and can be used to identify potential breakout or
reversal points.
- Alert Feature:
Alerts are triggered when the price approaches any of these key levels (PCH, PCL, Pivot, R1,
or S1) within a specified threshold (e.g., 0.5%).
This helps traders react quickly to potential price movements near critical levels.
- Visual Representation:
The script visually fills the areas between Pivot and R1 (Resistance-Pivot Zone) and Pivot and
S1 (Support-Pivot Zone) with color for easy identification of key price zones.
SuperTrend Bar Counter - DolphinTradeBot
OVERVIEW
This indicator calculates the lengths of upward and downward trends based on the specified SuperTrend settings and timeframe. It then takes the average length of the entered number of swings and compares the current trend durations with these averages. The main goal is to anticipate potential reversals in advance.
HOW IS IT WORK ?
The indicator actually contains two different but conceptually similar metrics.
The first part; shows how long the Supertrend stays in an upward or downward trend in real time. Additionally, it analyzes how close the current value is to the average of the Supertrend bar count for the given input.
The second part; aims to provide a different perspective on general trend analysis. It calculates the average duration of upward and downward trends in bars based on the SuperTrend indicator settings within a specified period and timeframe. If, contrary to expectations, downward trends last longer than upward trends, the background is colored green, indicating a prediction that the trend will continue upward.
Explanation of the second part logic: As you know, moving averages or similar approaches that follow the price are often correct when looking back retrospectively, but they cannot serve as leading indicators in real-time trading.That's why, when performing trend analysis, I wanted to introduce a completely different perspective based on price movement, yet still grounded in price action itself.
This phenomenon is partly due to the nature of the SuperTrend itself. After strong price movements, SuperTrend tends to reverse direction much more quickly during pullbacks. Following a strong upward move, a downward trend is detected much earlier and tends to last longer. The indicator provides an alternative perspective by analyzing which directional movement occurs more rapidly and uses this insight for trend prediction.
HOW TO USE ?
It can be used to identify potential price reversals or to assess whether the price is generally cheap or expensive.
In the settings section, you can adjust the SuperTrend parameters and timeframes for the values displayed in the table.
In the second part, you can configure the values used for general trend analysis.
NOTE
Things to be aware of: As the chart's timeframe decreases, pulling data from higher timeframes becomes more difficult. For example, when the chart is set to a 5-minute timeframe, it may fail to retrieve swing periods from the daily timeframe. Similarly, on a 4-hour chart, when calculating the average swing, there might be enough data for only 5 periods instead of 20.
Please keep in mind that this indicator was created solely to provide an idea. It should only be considered as a perspective or a supporting tool that influences your decision by no more than 5% at most.
Multi-Timeframe ATR MonitorShows multiple time frame ATR's. Specifically the 1,3,5,15,60 and daily ATR's of the security you are looking at. Works best on indexes and stocks or anything that trades out 2 decimals.
Daily Time MarkerThis TradingView indicator draws thin, white, dashed vertical lines on the chart at a user-defined time each day. The indicator takes into account Daylight Saving Time (DST) adjustments, ensuring the correct time is displayed throughout the year.
Key Features:
✅ Daily Vertical Markers:
Displays vertical dashed lines from Monday to Friday at the selected time.
The lines extend infinitely in both directions.
✅ Historical & Future Projection:
Shows lines 15 days into the past and 5 days into the future for better visualization of key time levels.
✅ DST Adjustment:
Automatically adjusts between summer and winter time , ensuring the correct hour is displayed.
This indicator is useful for traders who rely on specific time-based events, such as market opens or key trading sessions.
Shadow Edge (Example)This script tracks hourly price extremes (highs/lows) and their equilibrium (midpoint), plotting them as dynamic reference lines on your chart. It helps visualize intraday support/resistance levels and potential price boundaries.
Key Features
Previous Hour Levels (Static Lines):
PH (Previous Hour High): Red line.
PL (Previous Hour Low): Green line.
P.EQ (Previous Hour Equilibrium): Blue midpoint between PH and PL.
Current Hour Levels (Dynamic/Dotted Lines):
MuEH (Current Hour High): Yellow dashed line (updates in real-time).
MuEL (Current Hour Low): Orange dashed line (updates in real-time).
Labels: Clear text labels on the right edge of the chart for easy readability.
How It Works
Hourly Tracking:
Detects new hours using the hour(time) function.
Resets high/low values at the start of each hour.
Stores the previous hour’s PH, PL, and P.EQ when a new hour begins.
Dynamic Updates:
Continuously updates MuEH and MuEL during the current hour to reflect the latest extremes.
Customization
Toggle visibility of lines via inputs:
Enable/disable PH, PL, P.EQ, MuEH, MuEL individually.
Adjustable colors and line styles (solid for previous hour, dashed for current hour).
Use Case
Intraday Traders: Identify hourly ranges, breakout/retracement opportunities, or mean-reversion setups.
Visual Reference: Quickly see where price is relative to recent hourly activity.
Technical Notes
Overlay: Plots directly on the price chart.
Efficiency: Uses var variables to preserve values between bars.
Labels: Only appear on the latest bar to avoid clutter.
This tool simplifies intraday price action analysis by combining historical and real-time hourly data into a single visual framework.
HTF Vertical LinesShow selected high time frame divider in your current time frame.
Not a magic, just a helper script myself use, if any suggestion/feature you want to add(but I won't promise I will add), don't hesitate to message me.
Revised Combo Script with DivergencesRevised Combo Script with Divergences (v5)
This comprehensive TradingView indicator combines multiple technical analysis tools to provide traders with a robust framework for identifying potential buy and sell signals. The script integrates several popular indicators and patterns, including RSI, Stochastic, EMA, Keltner Channels, and candlestick patterns, to enhance decision-making in trading.
Key Features:
RSI Analysis:
Configurable RSI length and overbought/oversold levels.
Visual bands for overbought and oversold conditions.
Divergence detection to identify potential trend reversals.
Stochastic Oscillator:
Customizable %K and %D periods with smoothing options.
Helps identify overbought and oversold conditions in the market.
Exponential Moving Averages (EMA):
Fast and slow EMAs to determine trend direction.
Configurable lengths and offsets for precise tuning.
Keltner Channels:
Dynamic volatility-based channels using true range or range options.
Helps identify potential breakout and reversal points.
Envelope Indicator:
Configurable length and percentage for upper and lower bands.
Option to use EMA or SMA for the basis calculation.
Candlestick Patterns:
Detection of key patterns such as Engulfing, Hammer, Shooting Star, and Doji.
Visual markers for easy identification on the chart.
Trade Signals:
Generates buy and sell signals based on a combination of indicator conditions.
Background color changes to indicate bullish or bearish signals.
Alerts:
Configurable alerts for buy and sell signals, as well as bullish and bearish divergences.
This script is designed for traders who want a comprehensive tool to analyze market conditions and make informed trading decisions. By combining multiple indicators and patterns, it provides a holistic view of the market, helping traders identify potential entry and exit points with greater confidence.
Note: This script is intended for educational purposes and should be used in conjunction with other analysis methods. Always perform your own research and consider risk management strategies before making trading decisions.
MTF TTM Squeeze ProOverview
The MTF TTM Squeeze Pro indicator helps traders identify market compression (squeeze) conditions and analyze momentum across multiple timeframes. It is based on the TTM Squeeze concept, which uses Bollinger Bands and Keltner Channels to detect price consolidation periods that often precede strong breakouts.
This script enhances the standard TTM Squeeze by providing a multi-timeframe view, allowing traders to assess market conditions across intraday, daily, and weekly charts simultaneously.
⸻
How It Works
1. Squeeze Detection using Bollinger Bands & Keltner Channels
• High Compression Squeeze (Orange): Strongest squeeze, indicating extreme consolidation.
• Medium Compression Squeeze (Red): Moderate squeeze, potential breakout setup.
• Low Compression Squeeze (Black): Mild squeeze, possible momentum shift.
• No Squeeze (Green): Market is trending, no consolidation detected.
2. Momentum Analysis
The script features a custom linear regression momentum oscillator to gauge market direction:
• Positive rising momentum (Aqua) suggests bullish acceleration.
• Positive falling momentum (Blue) indicates slowing bullish momentum.
• Negative rising momentum (Red) signals bearish weakening.
• Negative falling momentum (Yellow) represents strengthening bearish momentum.
3. Multi-Timeframe Display
The indicator provides a table panel showing squeeze conditions and momentum colors for:
✅ 15m, 30m, 55m, 78m, 195m, Daily (D), and Weekly (W) timeframes.
This makes it easier to spot confluences across different periods, helping traders align their entries with larger trends.
⸻
How to Use
✔️ Look for a high compression squeeze (orange dots) as potential breakout zones.
✔️ Check if momentum colors are aligned across multiple timeframes to confirm direction.
✔️ Trade in the direction of momentum once the squeeze is released.
Best Used For:
📈 Swing Trading – Identify multi-day setups using the D/W squeeze signals.
📉 Intraday Trading – Use 15m-78m signals for faster entries and exits.
⸻
Credits & Open-Source Compliance
This script is inspired by the original TTM Squeeze Pro and based on open-source contributions from the TradingView community. Significant modifications include:
✔️ Improved multi-timeframe data request for momentum & squeeze.
✔️ Enhanced visual display with a compact and informative table panel.
✔️ Added detailed documentation for better usability.
📌 Original Source: TradingView Script by Beardy_Fred
⸻
Final Notes
✅ Open-source and free to use.
✅ Designed for stocks, forex, and crypto.
✅ Fully customizable squeeze & momentum settings.
Enjoy trading, and may the squeeze be with you! 🚀
Two EMA 21 with High and LowBuy if 2 candles close above green and sell 2 candles close below the red. use 3 minutes chart
LTFHTFLTF(短期足)の200MAを表示
ユーザーがEMA(指数移動平均)またはSMA(単純移動平均)を選択可能
HTF(上位時間足)の200MAを表示
LTFに応じて自動的に適切なHTFを設定(例: 15分足なら4時間足の200MAを表示)
HTFが適用されない場合は非表示
ピボットポイントを表示(LTF & HTF)
LTFの短期ピボットと、HTFの長期ピボットの両方をプロット
スイングハイ/ロー(高値・格安の転換点)をダイヤ形で描画
🔹どう使いますか?
✅ LTFとHTFのMAを比較→ トレンドの方向性を把握
✅ HTFのMAが強いレジスタンス/サポートになるレート確認
✅ピボットポイントで短期的な転換点をチェック
例:5分足でトレードしていても1時間足の200MAが意識されているかどうかを確認できるので、エントリーや利確の判断に役立ちます。
🔹まとめ
異なる時間足の200MAを表示(短期/長期のトレンドを比較)
ピボットポイントを描画(スイングハイ/ローの確認)
HTFのMAやピボットがサポート・レジスタンスになるかチェックできる
LTF (現在の足) HTF (上位時間足) HTFのピボットをLTFに表示する際の変換後期間
2分足 15分足 45 (6 × 15 ÷ 2)
5分足 1時間足 72 (6 × 60 ÷ 5)
15分足 4時間足 96 (6 × 240 ÷ 15)
1時間足 日足 144 (6 × 1440 ÷ 60)
Dynamic MA Crossover with Customizable Colors and ShapesDynamic MA Crossover with Customizable Colors and Shapes - BULL Market
EBP WITH SMCEngulfing bar pattern designed to handle liquidity markers and potential trend reversal.
Arrow below candles appear for potential reversal, the most potential are formed at support and resistance
52W CP/H & H/L with percentage % differences52 Week High/Low Indicator with percentage difference between High/Low & High/Current Price
A simple indicator that can be used on any timeframe to display the 52 week High/Low values along with percentage differences (rounded) between High/Low & High/Current Price to get an idea of the strength in the instruments current price to it's 52 week journey.
Features
* Works on any timeframe.
* Simple horizontal lines showing only the current 52 week values.
* Allows the user to select whether to calculate the 52-week values from candle close values or the respective highs/lows.
* Allows users to toggle percentages label on/off
This script is open source for users to refine as per their needs. Additionally I would appreciate any constructive feedback. Thank you
Basit Trend Indikatörüpro indikatör
indikatörümüz test aşamasındadır.testlerimiz devam etmektedir.tüm sorumluluk size aittir.yatırım tavsiyesi değildir.
indikatör özellikleri;
-önemli göstergeleri birleştirir.
-tabloda trend durumuyla birlikte RSI değeri gözükür.
8-13 EMA Crossover8-13 EMA Crossover for Scalping NQ, ES. 1-minute best for trend reversal, 5-minute best for trend. Using RSI and price action for confluence.
MA 50/200 close, color filled* This is a simple 50 MA and 200 MA 2-in-1 indicator. Area between the two indicators is filled with color from the indicator that is higher.
* Time periods can be modified as per requirement
* Color can be modified as per requirement
This is an open script so that users can modify as per their requirements.
RSI RMATry it Out and play with the settings,
I like to backtest , With RSI and MA on 14, on Daily Chart with BTC.
And Make ur RSI Light blue, MA Orange like an SRI.
And Backtest where the Highs are and where the lows.
You Can Use Paralel Channels on the MA and see ´some great results.
To be refined and continued.
All the best :)=
Market Crashes & Recessions (1907-Present)Included Recession Periods:
Panic of 1907 (1907–1908)
Post-WWI Recession (1918–1919)
Great Depression (1929–1933)
1937–1938 Recession
1953, 1957, & 1973 Oil Crises Recessions
Early 1980s Recession (1980–1982)
Early 1990s Recession (1990–1991)
Dot-com Bubble (2000–2002)
Global Financial Crisis (2007–2009)
COVID-19 Recession (2020)
2022 Market Correction