MACD with DPO Strategy by NGExplanation of the MACD with DPO Strategy:
MACD (Moving Average Convergence Divergence):
The MACD is a trend-following indicator that shows the relationship between two moving averages of a price.
In this script:
We calculate the MACD line by subtracting the slow moving average (typically 26-period EMA) from the fast moving average (typically 12-period EMA).
The Signal line is calculated as a 9-period EMA of the MACD line.
The Histogram is the difference between the MACD line and the Signal line, indicating the momentum of the price trend.
Buy Condition: The script generates a buy signal when the MACD histogram crosses from negative to positive (indicating a bullish momentum) and DPO is also positive.
Sell Condition: The script generates a sell signal when the MACD histogram crosses from positive to negative (indicating a bearish momentum) and DPO is also negative.
DPO (Detrended Price Oscillator):
The DPO removes long-term trends from prices, making it easier to identify shorter-term cycles or oscillations.
In this script:
We calculate the DPO by subtracting a shifted simple moving average (SMA) from the close price. The shifting period depends on half the specified period.
We also calculate the DPO SMA as a 30-period EMA of the DPO values.
DPO Color: The DPO line is colored green when the DPO is above zero (indicating upward momentum) and red when it is below zero (indicating downward momentum). The histogram is also colored based on whether the DPO is positive or negative.
Plotting and Alerts:
The script plots the MACD, Signal, and Histogram on the chart.
Additionally, it plots the DPO and its SMA with different colors depending on whether the DPO is above or below zero.
Buy Signal: A green arrow labeled "BUY" is plotted below the bar when both MACD and DPO indicate a bullish condition.
Sell Signal: A red arrow labeled "SELL" is plotted above the bar when both MACD and DPO indicate a bearish condition.
Background colors are used to highlight the chart whenever a buy or sell condition occurs.
The script also includes alerts for both buy and sell signals, allowing users to set notifications when conditions are met.
How to Use:
Identify Buy and Sell Signals:
The script generates a Buy signal when:
The MACD histogram crosses from negative to positive (bullish momentum), and
The DPO is above zero (indicating upward momentum).
The script generates a Sell signal when:
The MACD histogram crosses from positive to negative (bearish momentum), and
The DPO is below zero (indicating downward momentum).
Chart Visualization:
The MACD histogram and Signal line help visualize the momentum and potential trend reversal.
The DPO and DPO SMA help visualize the shorter-term price cycles.
The signals (Buy and Sell) will be plotted on the chart with arrows indicating entry points.
Customization:
You can adjust the MACD and DPO parameters (such as fast_length, slow_length, period_) to fit your trading style or market conditions.
The script can be used in any timeframe depending on your strategy (e.g., intraday trading or longer-term trading).
Example Scenario:
If you're looking for potential buy opportunities, wait for the script to generate a buy signal (green arrow) where the MACD histogram has shifted to positive, and DPO is also in the green (above zero). This signals that both momentum and cycle direction are aligned for a potential upward movement.
Conversely, for sell opportunities, wait for the red arrow where MACD momentum is turning negative and DPO is also negative (below zero), indicating a bearish condition.
This combination of MACD and DPO allows traders to identify stronger and more reliable entry/exit points by confirming the trend with the MACD and detecting shorter-term price cycles with the DPO.
Komut dosyalarını "美联储议息会议12月时间" için ara
Uptrick: Volume-Weighted EMA Signal### **Uptrick: Volume-Weighted EMA Signal (UVES) Indicator - Comprehensive Description**
#### **Overview**
The **Uptrick: Volume-Weighted EMA Signal (UVES)** is an advanced, multifaceted trading indicator meticulously designed to provide traders with a holistic view of market trends by integrating Exponential Moving Averages (EMA) with volume analysis. This indicator not only identifies the direction of market trends through dynamic EMAs but also evaluates the underlying strength of these trends using real-time volume data. UVES is a versatile tool suitable for various trading styles and markets, offering a high degree of customization to meet the specific needs of individual traders.
#### **Purpose**
The UVES indicator aims to enhance traditional trend-following strategies by incorporating a critical yet often overlooked component: volume. Volume is a powerful indicator of market strength, providing insights into the conviction behind price movements. By merging EMA-based trend signals with detailed volume analysis, UVES offers a more nuanced and reliable approach to identifying trading opportunities. This dual-layer analysis allows traders to differentiate between strong trends supported by significant volume and weaker trends that may be prone to reversals.
#### **Key Features and Functions**
1. **Dynamic Exponential Moving Average (EMA):**
- The core of the UVES indicator is its dynamic EMA, calculated over a customizable period. The EMA is a widely used technical indicator that smooths price data to identify the underlying trend. In UVES, the EMA is dynamically colored—green when the current EMA value is above the previous value, indicating an uptrend, and red when below, signaling a downtrend. This visual cue helps traders quickly assess the trend direction without manually calculating or interpreting raw data.
2. **Comprehensive Moving Average Customization:**
- While the EMA is the default moving average in UVES, traders can select from various other moving average types, including Simple Moving Average (SMA), Smoothed Moving Average (SMMA), Weighted Moving Average (WMA), and Volume-Weighted Moving Average (VWMA). Each type offers unique characteristics:
- **SMA:** Provides a simple average of prices over a specified period, suitable for identifying long-term trends.
- **EMA:** Gives more weight to recent prices, making it more responsive to recent market movements.
- **SMMA (RMA):** A slower-moving average that reduces noise, ideal for capturing smoother trends.
- **WMA:** Weighs prices based on their order in the dataset, making recent prices more influential.
- **VWMA:** Integrates volume data, emphasizing price movements that occur with higher volume, making it particularly useful in volume-sensitive markets.
3. **Signal Line for Trend Confirmation:**
- UVES includes an optional signal line, which applies a secondary moving average to the primary EMA. This signal line can be used to smooth out the EMA and confirm trend changes. The signal line’s color changes based on its slope—green for an upward slope and red for a downward slope—providing a clear visual confirmation of trend direction. Traders can adjust the length and type of this signal line, allowing them to tailor the indicator’s responsiveness to their trading strategy.
4. **Buy and Sell Signal Generation:**
- UVES generates explicit buy and sell signals based on the interaction between the EMA and the signal line. A **buy signal** is triggered when the EMA transitions from a red (downtrend) to a green (uptrend), indicating a potential entry point. Conversely, a **sell signal** is triggered when the EMA shifts from green to red, suggesting an exit or shorting opportunity. These signals are displayed directly on the chart as upward or downward arrows, making them easily identifiable even during fast market conditions.
5. **Volume Analysis with Real-Time Buy/Sell Volume Table:**
- One of the standout features of UVES is its integration of volume analysis, which calculates and displays the volume attributed to buying and selling activities. This analysis includes:
- **Buy Volume:** The portion of the total volume associated with price increases (close higher than open).
- **Sell Volume:** The portion of the total volume associated with price decreases (close lower than open).
- **Buy/Sell Ratio:** A ratio of buy volume to sell volume, providing a quick snapshot of market sentiment.
- These metrics are presented in a real-time table positioned in the top-right corner of the chart, with customizable colors and formatting. The table updates with each new bar, offering continuous feedback on the strength and direction of the market trend based on volume data.
6. **Customizable Settings and User Control:**
- **EMA Length and Source:** Traders can specify the lookback period for the EMA, adjusting its sensitivity to price changes. The source for EMA calculations can also be customized, with options such as close, open, high, low, or other custom price series.
- **Signal Line Customization:** The signal line’s length, type, and width can be adjusted to suit different trading strategies, allowing traders to optimize the balance between trend detection and noise reduction.
- **Offset Adjustment:** The offset feature allows users to shift the EMA and signal line forward or backward on the chart. This can help align the indicator with specific price action or adjust for latency in decision-making processes.
- **Volume Table Positioning and Formatting:** The position, size, and color scheme of the volume table are fully customizable, enabling traders to integrate the table seamlessly into their chart setup without cluttering the visual workspace.
7. **Versatility Across Markets and Trading Styles:**
- UVES is designed to be effective across a wide range of financial markets, including Forex, stocks, cryptocurrencies, commodities, and indices. Its adaptability to different markets is supported by its comprehensive customization options and the inclusion of volume analysis, which is particularly valuable in markets where volume plays a crucial role in price movement.
#### **How Different Traders Can Benefit from UVES**
1. **Trend Followers:**
- Trend-following traders will find UVES particularly beneficial for identifying and riding trends. The dynamic EMA and signal line provide clear visual cues for trend direction, while the volume analysis helps confirm the strength of these trends. This combination allows trend followers to stay in profitable trades longer and exit when the trend shows signs of weakening.
2. **Volume-Based Traders:**
- Traders who focus on volume as a key indicator of market strength can leverage the UVES volume table to gain insights into the buying and selling pressure behind price movements. By monitoring the buy/sell ratio, these traders can identify periods of strong conviction (high buy volume) or potential reversals (high sell volume) with greater accuracy.
3. **Scalpers and Day Traders:**
- For traders operating on shorter time frames, UVES provides quick and reliable signals that are essential for making rapid trading decisions. The ability to customize the EMA length and type allows scalpers to fine-tune the indicator for responsiveness, while the volume analysis offers an additional layer of confirmation to avoid false signals.
4. **Swing Traders:**
- Swing traders, who typically hold positions for several days to weeks, can use UVES to identify medium-term trends and potential entry and exit points. The indicator’s ability to filter out market noise through the signal line and volume analysis makes it ideal for capturing significant price movements without being misled by short-term volatility.
5. **Position Traders and Long-Term Investors:**
- Even long-term investors can benefit from UVES by using it to identify major trend reversals or confirm the strength of long-term trends. The flexibility to adjust the EMA and signal line to longer periods ensures that the indicator remains relevant for detecting shifts in market sentiment over extended time frames.
#### **Optimal Settings for Different Markets**
- **Forex Markets:**
- **EMA Length:** 9 to 14 periods.
- **Signal Line:** Use VWMA or WMA for the signal line to incorporate volume data, which is crucial in the highly liquid Forex markets.
- **Best Use:** Short-term trend following, with an emphasis on identifying rapid changes in market sentiment.
- **Stock Markets:**
- **EMA Length:** 20 to 50 periods.
- **Signal Line:** SMA or EMA with a slightly longer length (e.g., 50 periods) to capture broader market trends.
- **Best Use:** Medium to long-term trend identification, with volume analysis confirming the strength of institutional buying or selling.
- **Cryptocurrency Markets:**
- **EMA Length:** 9 to 12 periods, due to the high volatility in crypto markets.
- **Signal Line:** SMMA or EMA for smoothing out extreme price fluctuations.
- **Best Use:** Identifying entry and exit points in volatile markets, with the volume table providing insights into market manipulation or sudden shifts in trader sentiment.
- **Commodity Markets:**
- **EMA Length:** 14 to 21 periods.
- **Signal Line:** WMA or VWMA, considering the impact of trading volume on commodity prices.
- **Best Use:** Capturing medium-term price movements and confirming trend strength with volume data.
#### **Customization for Advanced Users**
- **Advanced Offset Usage:** Traders can experiment with different offset values to see how shifting the EMA and signal line impacts the timing of buy/sell signals. This can be particularly useful in markets with known latency or for strategies that require a delayed confirmation of trend changes.
- **Volume Table Integration:** The position, size, and colors of the volume table can be adjusted to fit seamlessly into any trading setup. For example, a trader might choose to position the table in the bottom-right corner and use a smaller size to keep the focus on price action while still having access to volume data.
- **Signal Filtering:** By combining the signal line with the primary EMA, traders can filter out false signals during periods of low volatility or when the market is range-bound. Adjusting the length of the signal line allows for greater control over the sensitivity of the trend detection.
#### **Conclusion**
The **Uptrick: Volume-Weighted EMA Signal (UVES)** is a powerful and adaptable indicator designed for traders who demand more from their technical analysis tools. By integrating dynamic EMA trend signals with real-time volume analysis, UVES offers a comprehensive view of market conditions, making it an invaluable resource for identifying trends, confirming signals, and understanding market sentiment. Whether you are a day trader, swing trader, or long-term investor, UVES provides the versatility, precision, and customization needed to make more informed and profitable trading decisions. With its ability to adapt to various markets and trading styles, UVES is not just an indicator but a complete trend analysis solution.
Time Zone Box & Alerts (Simplified)### Description
This Pine Script indicator is designed for TradingView and provides functionality for drawing time-based boxes on the chart, as well as generating alerts and labels. It is particularly useful for visualizing specific time ranges within each trading day and managing alerts based on those time intervals.
#### **Features:**
1. **Box Drawing for Specific Time Ranges**:
- **Time Interval Customization**: Allows users to specify the start and end times for the box using inputs (e.g., from 9:30 AM to 12:30 PM). The box will automatically adjust based on these times.
- **Historical Data**: The script calculates the high and low prices within the specified time range and draws a box accordingly. This box will be created for each trading day, capturing all relevant historical data within the defined time interval.
2. **Dynamic Alerts**:
- **Custom Alerts**: Users can define custom alert messages for specific times within the trading day (e.g., before and after the trading range). Alerts are triggered once per bar close at the specified times.
3. **Labels for Key Time Points**:
- **Customizable Labels**: Labels can be added at specific times to indicate important trading actions (e.g., "No Trade," "Open Trade," and "Close Trade"). The text, color, and size of these labels are customizable.
- **Label Display**: Labels appear on the chart at defined times to provide visual cues for trading decisions.
4. **Visual Customization**:
- **Box and Label Colors**: Users can choose colors for the box and labels to match their preferences or trading setup.
- **Box Transparency**: The box can be customized with varying levels of transparency to enhance chart visibility.
#### **Usage:**
1. **Set Up Time Intervals**: Define the start and end times for the box using the input fields. Adjust these settings to fit your trading strategy and time zones.
2. **Adjust Alerts and Labels**: Customize the alert messages and label text to fit your trading plan.
3. **Apply to Chart**: Add the script to your TradingView chart to visualize the time-based boxes, receive alerts, and see the labels.
This script helps traders visually identify significant time ranges within the trading day and receive timely alerts and labels, enhancing their decision-making process.
SP500 RatiosThe "SP500 Ratios" indicator is a powerful tool developed for the TradingView platform, allowing users to access a variety of financial ratios and inflation-adjusted data related to the S&P 500 index. This indicator integrates with Nasdaq Data Link (formerly known as Quandl) to retrieve historical data, providing a comprehensive overview of key financial metrics associated with the S&P 500.
Key Features
Price to Sales Ratio: Quarterly ratio of price to sales (revenue) for the S&P 500.
Dividend Yield: Monthly dividend yield based on 12-month dividend per share.
Price Earnings Ratio (PE Ratio): Monthly price-to-earnings ratio based on trailing twelve-month reported earnings.
CAPE Ratio (Shiller PE Ratio): Monthly cyclically adjusted PE ratio, based on average inflation-adjusted earnings over the past ten years.
Earnings Yield: Monthly earnings yield, the inverse of the PE ratio.
Price to Book Ratio: Quarterly ratio of price to book value.
Inflation Adjusted S&P 500: Monthly S&P 500 level adjusted for inflation.
Revenue Per Share: Quarterly trailing twelve-month sales per share, not adjusted for inflation.
Earnings Per Share: Monthly real earnings per share, adjusted for inflation.
User Configuration
The indicator offers flexibility through user-configurable options. You can choose to display or hide each metric according to your analysis needs. Users can also adjust the line width for better visibility on the chart.
Visualization
The selected data is plotted on the chart with distinct colors for each metric, facilitating visual analysis. A dynamic legend table is also generated in the top-right corner of the chart, listing the currently displayed metrics with their associated colors.
This indicator is ideal for traders and analysts seeking detailed insights into the financial performance and valuations of the S&P 500, while benefiting from the customization flexibility offered by TradingView.
Uptrend & SMAThe "Uptrend and Close to SMA" indicator is designed to help traders identify when the price of a stock is in an uptrend and is trading near its Simple Moving Average (SMA) over a user-defined period. The indicator uses multi-timeframe analysis, allowing the user to select different timeframes for calculating the SMA.
Key Features:
SMA Calculation: The indicator calculates the SMA for a selected timeframe (e.g., daily, weekly, monthly) based on a user-specified period (default is 150 periods).
Multi-Timeframe Options: Users can choose between multiple timeframes (1 day, 1 week, 1 month, 3 months, 6 months, 12 months) to calculate the SMA, providing flexibility in trend analysis.
Proximity Threshold: The indicator includes a proximity threshold in percentage terms, allowing users to define how close the real-time price needs to be to the SMA to trigger a visual alert.
Uptrend Identification: The indicator identifies an uptrend when the real-time price is above the selected SMA.
Visual Alerts: If the price is above the SMA and within the defined proximity threshold, the background color of the chart will change to green, signaling that the stock is in an uptrend and close to the SMA.
Alert Condition: The indicator includes an alert condition that triggers when the price is in an uptrend and within the proximity threshold, allowing traders to be notified when their criteria are met.
Percentage Difference Display: A table displays the percentage difference between the real-time price and the SMA, providing a quick reference to see how far the price is from the SMA in percentage terms.
This indicator is especially useful for traders looking for potential buying opportunities when a stock is trending upwards but still near its moving average, indicating potential continuation or momentum.
Daily Bias Engine | PDH/PDL Range This program is designed to track the previous day range and interactions with the mean threshold on the following day.
The bias strategy is simple:
If you create new range highs over a PDH, you will lean towards calls.
If you create new range lows over a PDL, you will learn towards puts.
If neither event happens, no bias can be determined and therefore no trades taken.
If by 12:00pm there still is no bias determined, it will show moderate strength based on the trend.
Remember, use this strategy to outline your bias and find a cheap entry model to take advantage of.
Multi-Factor StrategyThis trading strategy combines multiple technical indicators to create a systematic approach for entering and exiting trades. The goal is to capture trends by aligning several key indicators to confirm the direction and strength of a potential trade. Below is a detailed description of how the strategy works:
Indicators Used
MACD (Moving Average Convergence Divergence):
MACD Line: The difference between the 12-period and 26-period Exponential Moving Averages (EMAs).
Signal Line: A 9-period EMA of the MACD line.
Usage: The strategy looks for crossovers between the MACD line and the Signal line as entry signals. A bullish crossover (MACD line crossing above the Signal line) indicates a potential upward movement, while a bearish crossover (MACD line crossing below the Signal line) signals a potential downward movement.
RSI (Relative Strength Index):
Usage: RSI is used to gauge the momentum of the price movement. The strategy uses specific thresholds: below 70 for long positions to avoid overbought conditions and above 30 for short positions to avoid oversold conditions.
ATR (Average True Range):
Usage: ATR measures market volatility and is used to set dynamic stop-loss and take-profit levels. A stop loss is set at 2 times the ATR, and a take profit at 3 times the ATR, ensuring that risk is managed relative to market conditions.
Simple Moving Averages (SMA):
50-day SMA: A short-term trend indicator.
200-day SMA: A long-term trend indicator.
Usage: The strategy uses the relationship between the 50-day and 200-day SMAs to determine the overall market trend. Long positions are taken when the price is above the 50-day SMA and the 50-day SMA is above the 200-day SMA, indicating an uptrend. Conversely, short positions are taken when the price is below the 50-day SMA and the 50-day SMA is below the 200-day SMA, indicating a downtrend.
Entry Conditions
Long Position:
-MACD Crossover: The MACD line crosses above the Signal line.
-RSI Confirmation: RSI is below 70, ensuring the asset is not overbought.
-SMA Confirmation: The price is above the 50-day SMA, and the 50-day SMA is above the 200-day SMA, indicating a strong uptrend.
Short Position:
MACD Crossunder: The MACD line crosses below the Signal line.
RSI Confirmation: RSI is above 30, ensuring the asset is not oversold.
SMA Confirmation: The price is below the 50-day SMA, and the 50-day SMA is below the 200-day SMA, indicating a strong downtrend.
Opposite conditions for shorts
Exit Strategy
Stop Loss: Set at 2 times the ATR from the entry price. This dynamically adjusts to market volatility, allowing for wider stops in volatile markets and tighter stops in calmer markets.
Take Profit: Set at 3 times the ATR from the entry price. This ensures a favorable risk-reward ratio of 1:1.5, aiming for higher rewards on successful trades.
Visualization
SMAs: The 50-day and 200-day SMAs are plotted on the chart to visualize the trend direction.
MACD Crossovers: Bullish and bearish MACD crossovers are highlighted on the chart to identify potential entry points.
Summary
This strategy is designed to align multiple indicators to increase the probability of successful trades by confirming trends and momentum before entering a position. It systematically manages risk with ATR-based stop loss and take profit levels, ensuring that trades are exited based on market conditions rather than arbitrary points. The combination of trend indicators (SMAs) with momentum and volatility indicators (MACD, RSI, ATR) creates a robust approach to trading in various market environments.
MACD with 1D Stochastic Confirmation Reversal StrategyOverview
The MACD with 1D Stochastic Confirmation Reversal Strategy utilizes MACD indicator in conjunction with 1 day timeframe Stochastic indicators to obtain the high probability short-term trend reversal signals. The main idea is to wait until MACD line crosses up it’s signal line, at the same time Stochastic indicator on 1D time frame shall show the uptrend (will be discussed in methodology) and not to be in the oversold territory. Strategy works on time frames from 30 min to 4 hours and opens only long trades.
Unique Features
Dynamic stop-loss system: Instead of fixed stop-loss level strategy utilizes average true range (ATR) multiplied by user given number subtracted from the position entry price as a dynamic stop loss level.
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Higher time frame confirmation: Strategy utilizes 1D Stochastic to establish the major trend and confirm the local reversals with the higher probability.
Trailing take profit level: After reaching the trailing profit activation level scrip activate the trailing of long trade using EMA. More information in methodology.
Methodology
The strategy opens long trade when the following price met the conditions:
MACD line of MACD indicator shall cross over the signal line of MACD indicator.
1D time frame Stochastic’s K line shall be above the D line.
1D time frame Stochastic’s K line value shall be below 80 (not overbought)
When long trade is executed, strategy set the stop-loss level at the price ATR multiplied by user-given value below the entry price. This level is recalculated on every next candle close, adjusting to the current market volatility.
At the same time strategy set up the trailing stop validation level. When the price crosses the level equals entry price plus ATR multiplied by user-given value script starts to trail the price with EMA. If price closes below EMA long trade is closed. When the trailing starts, script prints the label “Trailing Activated”.
Strategy settings
In the inputs window user can setup the following strategy settings:
ATR Stop Loss (by default = 3.25, value multiplied by ATR to be subtracted from position entry price to setup stop loss)
ATR Trailing Profit Activation Level (by default = 4.25, value multiplied by ATR to be added to position entry price to setup trailing profit activation level)
Trailing EMA Length (by default = 20, period for EMA, when price reached trailing profit activation level EMA will stop out of position if price closes below it)
User can choose the optimal parameters during backtesting on certain price chart, in our example we use default settings.
Justification of Methodology
This strategy leverages 2 time frames analysis to have the high probability reversal setups on lower time frame in the direction of the 1D time frame trend. That’s why it’s recommended to use this strategy on 30 min – 4 hours time frames.
To have an approximation of 1D time frame trend strategy utilizes classical Stochastic indicator. The Stochastic Indicator is a momentum oscillator that compares a security's closing price to its price range over a specific period. It's used to identify overbought and oversold conditions. The indicator ranges from 0 to 100, with readings above 80 indicating overbought conditions and readings below 20 indicating oversold conditions.
It consists of two lines:
%K: The main line, calculated using the formula (CurrentClose−LowestLow)/(HighestHigh−LowestLow)×100 . Highest and lowest price taken for 14 periods.
%D: A smoothed moving average of %K, often used as a signal line.
Strategy logic assumes that on 1D time frame it’s uptrend in %K line is above the %D line. Moreover, we can consider long trade only in %K line is below 80. It means that in overbought state the long trade will not be opened due to higher probability of pullback or even major trend reversal. If these conditions are met we are going to our working (lower) time frame.
On the chosen time frame, we remind you that for correct work of this strategy you shall use 30min – 4h time frames, MACD line shall cross over it’s signal line. The MACD (Moving Average Convergence Divergence) is a popular momentum and trend-following indicator used in technical analysis. It helps traders identify changes in the strength, direction, momentum, and duration of a trend in a stock's price.
The MACD consists of three components:
MACD Line: This is the difference between a short-term Exponential Moving Average (EMA) and a long-term EMA, typically calculated as: MACD Line=12-period EMA−26-period
Signal Line: This is a 9-period EMA of the MACD Line, which helps to identify buy or sell signals. When the MACD Line crosses above the Signal Line, it can be a bullish signal (suggesting a buy); when it crosses below, it can be a bearish signal (suggesting a sell).
Histogram: The histogram shows the difference between the MACD Line and the Signal Line, visually representing the momentum of the trend. Positive histogram values indicate increasing bullish momentum, while negative values indicate increasing bearish momentum.
In our script we are interested in only MACD and signal lines. When MACD line crosses signal line there is a high chance that short-term trend reversed to the upside. We use this strategy on 45 min time frame.
ATR is used to adjust the strategy risk management to the current market volatility. If volatility is low, we don’t need the large stop loss to understand the there is a high probability that we made a mistake opening the trade. User can setup the settings ATR Stop Loss and ATR Trailing Profit Activation Level to realize his own risk to reward preferences, but the unique feature of a strategy is that after reaching trailing profit activation level strategy is trying to follow the trend until it is likely to be finished instead of using fixed risk management settings. It allows sometimes to be involved in the large movements.
Backtest Results
Operating window: Date range of backtests is 2023.01.01 - 2024.08.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 30%
Maximum Single Position Loss: -4.79%
Maximum Single Profit: +20.14%
Net Profit: +2361.33 USDT (+44.72%)
Total Trades: 123 (44.72% win rate)
Profit Factor: 1.623
Maximum Accumulated Loss: 695.80 USDT (-5.48%)
Average Profit per Trade: 19.20 USDT (+0.59%)
Average Trade Duration: 30 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe between 30 min and 4 hours and chart (optimal performance observed on 45 min BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
MACD Divergence StrategyStrategy Description: MACD Divergence with SMA Crossover Strategy
Overview:
The MACD Divergence with SMA Crossover Strategy is designed to identify high-probability trading opportunities based on the interaction of the MACD (Moving Average Convergence Divergence) indicator and key moving averages. This strategy focuses on detecting divergences between the MACD line and the signal line, combined with specific conditions related to the 50-period and 800-period SMAs. It ensures that the MACD and signal lines do not cross the zero line between the current and previous divergence points, thereby filtering out weaker signals and enhancing the accuracy of trade entries.
Key Components:
Simple Moving Averages (SMAs):
50-period SMA: A short-term trend indicator that helps identify the prevailing market direction.
800-period SMA: A long-term trend indicator used to gauge the overall market trend.
MACD Indicator:
MACD Line: Represents the difference between the 12-period EMA and the 26-period EMA.
Signal Line: A 9-period EMA of the MACD line.
Histogram: The difference between the MACD line and the signal line, used to visualize the strength of the signal.
Trade Conditions:
Long Position (Buy):
The 50 SMA is above the 800 SMA, indicating a bullish market trend.
The MACD line and signal line are both below zero, signifying a potential bullish reversal.
A bullish divergence is detected when the MACD line crosses above the signal line below zero, without either line crossing the zero level between the current and previous cross.
Short Position (Sell):
The 50 SMA is below the 800 SMA, indicating a bearish market trend.
The MACD line and signal line are both above zero, signaling a potential bearish reversal.
A bearish divergence is detected when the MACD line crosses below the signal line above zero, without either line crossing the zero level between the current and previous cross.
Signal Plotting:
Long Signals: Displayed when the conditions for a bullish divergence and SMA alignment are met, marked with a green upward arrow on the chart.
Short Signals: Displayed when the conditions for a bearish divergence and SMA alignment are met, marked with a red downward arrow on the chart.
Higher Time Frame(HTF)The Higher Time Frame (HTF) will be displayed in a box. You can choose HTF periods from: 15min, 30min, 1hour, 2hour, 3hour, 4hour, 6hour, 8hour, 12hour, 1day, 1week, 2week, 4week, 1month, 2month, 3month, 4month, 6month, and 1year.
An error will occur if you set a period longer than the current candlestick period being displayed. The HTF Box can display a maximum of 500 boxes. There is no guarantee that all combinations of periods will work correctly.
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上位足(Higher Time Frame, HTF) をボックスで表示します。
上位足の期間は、15分 30分 1時間 2時間 3時間 4時間 6時間 8時間 12時間 1日 1週 2週 4週 1月 2月 3月 4月 6月 1年から選べます。
表示しているローソク足の期間より長い期間を設定しないとエラーとなります。
上位足ボックスは最大500個表示することができます。
全ての期間の組み合わせで正しく動くことを保証するものではありません。
Macro Times [Blu_Ju]About ICT Macro Times:
The Inner Circle Trader (ICT) has taught that there are certain time sessions when the Interbank Price Delivery Algorithm (IPDA) is running a macro. The macro itself could be a repricing macro, a consolidation macro, etc. - this depends on where price currently is in relation to its draw. The times the macro is active do not change however, and are always the following (in New York local time):
8:50-9:10 (premarket macro)
9:50-10:10 (AM macro 1)
10:50-11:10 (AM macro 2)
11:50-12:10 (lunch macro)
13:10-13:40 (PM macro)
15:15-15:45 (final hour macro)
Because these times are fixed, traders can anticipate a setup is likely to form in or around these sessions. Setups may involve sweeps of liquidity (highs/lows), repricing to inefficiencies (e.g., fair value gaps), breaker setups, etc. (The specific setup involved is beyond the scope of this script; this script is concerned with visually marking the time sessions only.)
About this Script:
The scope of this script is to visually identify the macro active time sessions. This script draws vertical lines to mark the start and end of the macro time sessions. Optionally, the user can use a background color for the macro session with or without the vertical lines. The user can also toggle on or off any of the macro sessions, if he or she is only interested in certain ones. The user also has the freedom to change the times of the macro sessions if he or she is interested in a different time.
What makes this script unique is that it plots the macro time sessions after midnight for each day, before the real-time bar reaches the macro times. This is advantageous to the trader, as it gives the trader a visual cue that the macro times are approaching. When watching price it is easy to lose track of time, and the purpose of this script is to help the trader maintain where price is in relation to the macro time sessions in a simple, visual way.
FXN - Week and Day Separator midnight open. A simple modification of the regular FXN day separator indicator. It starts the days at 12:00 of the time-zone you select as opposed to the regular 17:00 server time.
Timing - Fx MGKWhat You See:
Session Boxes:
As you observe, the larger purple box represents the Asian Session, spanning from around 22:00 to 06:00 UTC. You notice how it captures the overnight market activity.
The smaller, greyish box marks the London Session, from about 08:00 to 12:00 UTC. You can see how the price action changes during this session.
The New York Session is also indicated, with vertical lines possibly marking the open and close, helping you track movements as the U.S. markets come into play.
High and Low Levels:
Horizontal lines are drawn at the high and low of each session. You can use these as potential support or resistance levels, aiding in your decision-making process.
Vertical Lines:
These lines likely correspond to specific key times, such as session opens or closes. You can quickly identify the transition between sessions, which is crucial for your timing.
Color Coding:
Each session is color-coded, making it easier for you to distinguish between them at a glance. The purple, grey, and additional lines offer a clear visual distinction.
How You Use It:
This indicator is your go-to for understanding how different market sessions affect price action. You’ll use it to:
Recognize important price levels within each session.
Identify potential entry and exit points based on session highs and lows.
Observe how the market transitions from one session to another, giving you insight into the best times to trade.
Customization:
You have the flexibility to adjust the settings. You can change session times to suit your trading hours, modify colors to match your chart theme, and even choose which sessions to display or hide based on your focus.
This tool is designed to enhance your analysis, providing you with a structured view of market sessions. With this indicator, you’re well-equipped to navigate the global markets with greater precision and confidence.
Perfect Order Alert USDJPY/BTCUSD/XAUUSDPerfect Order Alert USDJPY/BTCUSD/XAUUSD 日本語解説は下記
This indicator detects the perfect order of three moving averages and displays on the Panel in an easy-to-understand visual manner whether there is an uptrend, downtrend, or non-trend for each time leg.
This indicator detects perfect orders for the three currency pairs USDJPY/BTCUSD/XAUUSD on the 5-minute, 15-minute, 1-hour, and 4-hour time frames, and displays them on the Panel on the chart, with “▲” for up, “▼” for down, and “ー” for non-trend, so that you can quickly determine the trend. The panel is displayed on the chart.
In order to check for perfect orders without missing them, it is also possible to set up alerts that notify you of all the time frames and currency pairs as well.
Functions
Displaying 4H, 1H, 15M, 5M, up (▲), down (▼), other (-), of USDJPY/BTCUSD/XAUUSD on the panel.
*(By default, 20EMA, 75EMA, and 200EMA are hidden.)
Display position setting of the panel (You can choose from upper left, upper top, upper right, lower left, lower bottom, or lower right).
Panel color and text color change function
The moving average line can be hidden by default.
Moving average period change
Moving average color and thickness can be changed.
EMA/SMA switchable
Alert function - One alert can be set for each currency pair and time frame ▲▼, which is very useful.
Perfect Order Alert
You can use it even if you have a free account with only one alert setting.
To use the alert function, go to the Tradingview default alert settings, select “USDJPY/BTCUSD/XAUUSD” for the top item of conditions, and select “Call Alert() function” in the frame just below it!
_* Supplementary explanation: ＿＿＿＿＿＿＿＿＿＿＿＿
Please note that due to the limitation of the script, only 3 currency pairs and 4 time frames are displayed with 12 items (Panels for currency pairs other than USDJPY/BTCUSD/XAUUSD are also created, but they are indicators for other scripts, so if you are interested in other currency pairs, please use those. If you are interested in other currency pairs, please use them.)
Please note that we may change the functions or delete the indicator itself without prior notice.
Translated with DeepL.com (free version)
Reference image of the setting screenReference image of the setting screen
設定画面参考画像
3本の移動平均線のパーフェクトオーダーを検知し、時間足ごとに上昇トレンドか下降トレンドかノントレンドかを視覚的にわかりやすくPanelに表示するインジゲーターです。
このインジゲーターは、USDJPY/BTCUSD/XAUUSDの３通貨ペアの５分足、15分足、１時間足、４時間足のパーフェクトオーダーを検知して、チャートに表示されるPanelに、上昇は「▲」下降は「▼」ノントレンドは「ー」と、すぐに判断できる表示にしてあります。
パーフェクトオーダーを逃さずチェックできるように、それぞれの時間足や通貨ペアも全てを通知してくれるアラート設定が可能なのも特徴です。
機能紹介
・USDJPY/BTCUSD/XAUUSDの4H,1H,15M,5M,の上昇(▲),下降(▼),その他(-),をパネルに表示
※(デフォルトでは20EMA,75EMA,200EMAの３本で非表示にしてあります）
・パネルの表示位置設定（左上、上、右上、左下、下、右下、から選択できます。）
・パネルの色とテキスト色変更機能
・移動平均線表示非表示機能（デフォルトでは表示OFFにしてあります。）
・移動平均線期間変更
・移動平均線色と太さ変更
・EMA/SMA切り替え可能
・アラート機能ー１つのアラート設定で通貨ペアと時間足▲▼一つ一つを細かく教えてくれるので便利。
※パーフェクト オーダーアラート
無料アカウントで１つしかアラート設定できなくても使えます。
アラート機能はTradingviewデフォルトのアラート設定から、条件の一番上の項目を「USDJPY/BTCUSD/XAUUSD」選択、そのすぐ下の枠に「Alert()関数の呼び出し」を選択でOK！
＿※ 補足説明＿＿＿＿＿＿＿＿＿＿＿＿
・スクリプトの制限の為、３通貨ペアと４つの時間足の１２項目で表示させていますのでご了承ください
(USDJPY/BTCUSD/XAUUSD以外の通貨ペアのPanelも作成していますが別スクリプトのインジゲーターになりますので他の通貨ペアも興味がある方はそちらをお使いください）
・予告なしで機能の変更やインジゲーター自体の削除等行う事もあるかもなのでご了承ください。
Stef's Dollar Volume CounterStef's Dollar Volume Counter is my second script that I've worked on and coded. I am proud of this script because it does something very, very important: it counts the AMOUNT of money traded, not just the amount shares/contracts traded. This is key for understanding where the big and small money is.
This script is totally different from other Volume scripts because it shows the amount of money traded, NOT the shares/contracts/coins etc. Also, more importantly, it is different from other volume indicators in the same space because this script is specifically focused on showcasing specific dollar volume amounts either as a table or as a label.
Here are the 5 key features you can utilize with this:
1. Customizable Gradient Colors for BIG money and SMALL money: Visually distinguishes between high and low dollar volumes. Change the colors as needed in the indicator settings menu.
2. Dollar Volume Counter Table: Positioned at the bottom right of the chart, this table provides quick insights into the highest, lowest, and average dollar volumes over a specified period. You can customize the time period in the settings menu.
3. "Wow! Much Money!" Labels: Highlights the top three recent highest dollar volumes within the visible chart area, emphasizing significant trading periods. Also, it's hilarious :)
4. Customize the period for volume analysis, ranging from 1 to 12 months or more, with the selected timeframe displayed in the table.
5. It opens as a new pane below the chart so that you can still analyze price and more, as needed.
Thanks for reading! I look forward to hearing your feedback. This script will be updated to expand on more concepts and I'll add some cool features soon.
Brooks 18 Bars [KintsugiTrading]Brooks 18 Bars
Overview:
This indicator allows traders to specify a time frame within each trading day and plots lines at the highest and lowest prices recorded during that period. It is particularly useful for identifying key levels of support and resistance within a specified time range.
Features:
User-Defined Time Frame: Traders can input their desired start and end times in a 24-hour format, allowing flexibility to analyze different market sessions.
High and Low Price Levels: The indicator plots lines representing the highest and lowest prices observed within the specified time frame each day.
Clear Visual Representation: The high and low lines are color-coded for easy identification, with the high & low prices in Kintsugi Trading Gold.
How to Use:
Set the Time Frame:
Adjust the "Start Time Hour" and "Start Time Minute" to define the beginning of your desired time frame.
Adjust the "End Time Hour" and "End Time Minute" to define the end of your desired time frame.
Analyze Key Levels:
Al Brooks popularized the following idea and basis for creating this indicator:
On a 5-minute chart, Bar 1 has a 20-30% chance of being the High or Low of the day.
Bar 12 has a 50% chance.
Bar 18 has an 80-90% chance.
Use the plotted lines to identify significant support and resistance levels within your specified time frame. These levels can help inform your trading decisions, such as entry and exit points.
Good luck with your trading!
Six PillarsGeneral Overview
The "Six Pillars" indicator is a comprehensive trading tool that combines six different technical analysis methods to provide a holistic view of market conditions.
These six pillars are:
Trend
Momentum
Directional Movement (DM)
Stochastic
Fractal
On-Balance Volume (OBV)
The indicator calculates the state of each pillar and presents them in an easy-to-read table format. It also compares the current timeframe with a user-defined comparison timeframe to offer a multi-timeframe analysis.
A key feature of this indicator is the Confluence Strength meter. This unique metric quantifies the overall agreement between the six pillars across both timeframes, providing a score out of 100. A higher score indicates stronger agreement among the pillars, suggesting a more reliable trading signal.
I also included a visual cue in the form of candle coloring. When all six pillars agree on a bullish or bearish direction, the candle is colored green or red, respectively. This feature allows traders to quickly identify potential high-probability trade setups.
The Six Pillars indicator is designed to work across multiple timeframes, offering a comparison between the current timeframe and a user-defined comparison timeframe. This multi-timeframe analysis provides traders with a more comprehensive understanding of market dynamics.
Origin and Inspiration
The Six Pillars indicator was inspired by the work of Dr. Barry Burns, author of "Trend Trading for Dummies" and his concept of "5 energies." (Trend, Momentum, Cycle, Support/Resistance, Scale) I was intrigued by Dr. Burns' approach to analyzing market dynamics and decided to put my own twist upon his ideas.
Comparing the Six Pillars to Dr. Burns' 5 energies, you'll notice I kept Trend and Momentum, but I swapped out Cycle, Support/Resistance, and Scale for Directional Movement, Stochastic, Fractal, and On-Balance Volume. These changes give you a more dynamic view of market strength, potential reversals, and volume confirmation all in one package.
What Makes This Indicator Unique
The standout feature of the Six Pillars indicator is its Confluence Strength meter. This feature calculates the overall agreement between the six pillars, providing traders with a clear, numerical representation of signal strength.
The strength is calculated by considering the state of each pillar in both the current and comparison timeframes, resulting in a score out of 100.
Here's how it calculates the strength:
It considers the state of each pillar in both the current timeframe and the comparison timeframe.
For each pillar, the absolute value of its state is taken. This means that both strongly bullish (2) and strongly bearish (-2) states contribute equally to the strength.
The absolute values for all six pillars are summed up for both timeframes, resulting in two sums: current_sum and alternate_sum.
These sums are then added together to get a total_sum.
The total_sum is divided by 24 (the maximum possible sum if all pillars were at their strongest states in both timeframes) and multiplied by 100 to get a percentage.
The result is rounded to the nearest integer and capped at a minimum of 1.
This calculation method ensures that the Confluence Strength meter takes into account not only the current timeframe but also the comparison timeframe, providing a more robust measure of overall market sentiment. The resulting score, ranging from 1 to 100, gives traders a clear and intuitive measure of how strongly the pillars agree, with higher scores indicating stronger potential signals.
This approach to measuring signal strength is unique in that it doesn't just rely on a single aspect of price action or volume. Instead, it takes into account multiple factors, providing a more robust and reliable indication of potential market moves. The higher the Confluence Strength score, the more confident traders can be in the signal.
The Confluence Strength meter helps traders in several ways:
It provides a quick and easy way to gauge the overall market sentiment.
It helps prioritize potential trades by identifying the strongest signals.
It can be used as a filter to avoid weaker setups and focus on high-probability trades.
It offers an additional layer of confirmation for other trading strategies or indicators.
By combining the Six Pillars analysis with the Confluence Strength meter, I've created a powerful tool that not only identifies potential trading opportunities but also quantifies their strength, giving traders a significant edge in their decision-making process.
How the Pillars Work (What Determines Bullish or Bearish)
While developing this indicator, I selected and configured six key components that work together to provide a comprehensive view of market conditions. Each pillar is set up to complement the others, creating a synergistic effect that offers traders a more nuanced understanding of price action and volume.
Trend Pillar: Based on two Exponential Moving Averages (EMAs) - a fast EMA (8 period) and a slow EMA (21 period). It determines the trend by comparing these EMAs, with stronger trends indicated when the fast EMA is significantly above or below the slow EMA.
Directional Movement (DM) Pillar: Utilizes the Average Directional Index (ADX) with a default period of 14. It measures trend strength, with values above 25 indicating a strong trend. It also considers the Positive and Negative Directional Indicators (DI+ and DI-) to determine trend direction.
Momentum Pillar: Uses the Moving Average Convergence Divergence (MACD) with customizable fast (12), slow (26), and signal (9) lengths. It compares the MACD line to the signal line to determine momentum strength and direction.
Stochastic Pillar: Employs the Stochastic oscillator with a default period of 13. It identifies overbought conditions (above 80) and oversold conditions (below 20), with intermediate zones between 60-80 and 20-40.
Fractal Pillar: Uses Williams' Fractal indicator with a default period of 3. It identifies potential reversal points by looking for specific high and low patterns over the given period.
On-Balance Volume (OBV) Pillar: Incorporates On-Balance Volume with three EMAs - short (3), medium (13), and long (21) periods. It assesses volume trends by comparing these EMAs.
Each pillar outputs a state ranging from -2 (strongly bearish) to 2 (strongly bullish), with 0 indicating a neutral state. This standardized output allows for easy comparison and aggregation of signals across all pillars.
Users can customize various parameters for each pillar, allowing them to fine-tune the indicator to their specific trading style and market conditions. The multi-timeframe comparison feature also allows users to compare pillar states between the current timeframe and a user-defined comparison timeframe, providing additional context for decision-making.
Design
From a design standpoint, I've put considerable effort into making the Six Pillars indicator visually appealing and user-friendly. The clean and minimalistic design is a key feature that sets this indicator apart.
I've implemented a sleek table layout that displays all the essential information in a compact and organized manner. The use of a dark background (#030712) for the table creates a sleek look that's easy on the eyes, especially during extended trading sessions.
The overall design philosophy focuses on presenting complex information in a simple, intuitive format, allowing traders to make informed decisions quickly and efficiently.
The color scheme is carefully chosen to provide clear visual cues:
White text for headers ensures readability
Green (#22C55E) for bullish signals
Blue (#3B82F6) for neutral states
Red (#EF4444) for bearish signals
This color coding extends to the candle coloring, making it easy to spot when all pillars agree on a bullish or bearish outlook.
I've also incorporated intuitive symbols (↑↑, ↑, →, ↓, ↓↓) to represent the different states of each pillar, allowing for quick interpretation at a glance.
The table layout is thoughtfully organized, with clear sections for the current and comparison timeframes. The Confluence Strength meter is prominently displayed, providing traders with an immediate sense of signal strength.
To enhance usability, I've added tooltips to various elements, offering additional information and explanations when users hover over different parts of the indicator.
How to Use This Indicator
The Six Pillars indicator is a versatile tool that can be used for various trading strategies. Here are some general usage guidelines and specific scenarios:
General Usage Guidelines:
Pay attention to the Confluence Strength meter. Higher values indicate stronger agreement among the pillars and potentially more reliable signals.
Use the multi-timeframe comparison to confirm signals across different time horizons.
Look for alignment between the current timeframe and comparison timeframe pillars for stronger signals.
One of the strengths of this indicator is it can let you know when markets are sideways – so in general you can know to avoid entering when the Confluence Strength is low, indicating disagreement among the pillars.
Customization Options
The Six Pillars indicator offers a wide range of customization options, allowing traders to tailor the tool to their specific needs and trading style. Here are the key customizable elements:
Comparison Timeframe:
Users can select any timeframe for comparison with the current timeframe, providing flexibility in multi-timeframe analysis.
Trend Pillar:
Fast EMA Period: Adjustable for quicker or slower trend identification
Slow EMA Period: Can be modified to capture longer-term trends
Momentum Pillar:
MACD Fast Length
MACD Slow Length
MACD Signal Length These can be adjusted to fine-tune momentum sensitivity
DM Pillar:
ADX Period: Customizable to change the lookback period for trend strength measurement
ADX Threshold: Adjustable to define what constitutes a strong trend
Stochastic Pillar:
Stochastic Period: Can be modified to change the sensitivity of overbought/oversold readings
Fractal Pillar:
Fractal Period: Adjustable to identify potential reversal points over different timeframes
OBV Pillar:
Short OBV EMA
Medium OBV EMA
Long OBV EMA These periods can be customized to analyze volume trends over different timeframes
These customization options allow traders to experiment with different settings to find the optimal configuration for their trading strategy and market conditions. The flexibility of the Six Pillars indicator makes it adaptable to various trading styles and market environments.
Golden Area### Golden Area Indicator Description
The "Golden Area" indicator is a technical analysis tool designed to assist traders by identifying potential buy and sell signals based on moving averages and support/resistance levels within a specific time frame. This indicator can be applied directly to price charts.
#### How It Works
1. **Inputs:**
- **MA50 Length:** The period length for the 50-period Simple Moving Average (SMA).
- **MA200 Length:** The period length for the 200-period Simple Moving Average (SMA).
2. **Calculations:**
- **MA50 (50-period SMA):** Calculated by averaging the closing prices over the past 50 periods.
- **MA200 (200-period SMA):** Calculated by averaging the closing prices over the past 200 periods.
- **Support Level:** The lowest price over the last 50 periods.
- **Resistance Level:** The highest price over the last 50 periods.
3. **Time Filter:**
- **Start Time:** The indicator becomes active at 12:30 IST (07:00 UTC).
- **End Time:** The indicator deactivates at 10:30 IST the next day (05:00 UTC).
- A background color change (yellow) highlights the active time range on the chart.
4. **Signals:**
- **Buy Signal:** Triggered when the current time matches the start time and the closing price is below the support level.
- **Sell Signal:** Triggered when the current time matches the start time and the closing price is above the resistance level.
5. **Plots:**
- **MA50:** Plotted as a blue line on the chart.
- **MA200:** Plotted as a red line on the chart.
- **Buy Signals:** Indicated by a green 'B' below the bars.
- **Sell Signals:** Indicated by a red 'S' above the bars.
This indicator provides visual cues for potential trading opportunities within the specified time frame, aiding traders in making informed decisions.
MTF Regime Filter II [CHE]Regime Filter II - Comprehensive Guide
Introduction
The "Regime Filter II " indicator is a tool designed to help traders identify market trends by smoothing price data and applying a color scheme to visualize bullish and bearish conditions. This guide provides a detailed explanation of the script's functionality, benefits, and how to use it effectively in TradingView.
Key Benefits
1. Trend Identification: Smooths price data to highlight underlying trends, making it easier for traders to spot potential buying or selling opportunities.
2. Visual Clarity: Uses distinct color schemes to differentiate between bullish and bearish market conditions, enhancing visual analysis.
3. Customization: Offers various settings to adjust smoothing and averaging lengths, choose between different color schemes, and set visibility for different timeframes.
4. Neutral Candle Option: Provides an option to display neutral candles for clearer visual representation when market conditions are neither strongly bullish nor bearish.
5. Timeframe Adaptability: Includes functions to determine appropriate step sizes based on different timeframes, ensuring the indicator remains accurate across various trading periods.
Script Breakdown
1. Indicator Declaration
The script starts by declaring itself as a TradingView indicator using the latest version of Pine Script. This sets up the framework for the indicator's functionality.
2. User Inputs for Smoothing and Averaging Lengths
The script allows users to input specific lengths for smoothing and averaging intervals. These inputs are crucial for determining how the price data is processed to identify trends. By adjusting these lengths, users can fine-tune the sensitivity of the indicator to market movements.
3. Color Scheme Selection
Users can choose between two color schemes: "Traditional" and "WT1 0 Rule". The selected color scheme will determine how the indicator colors the candles to represent bullish and bearish conditions. This customization enhances the visual appeal and usability of the indicator according to personal preferences.
4. Settings for Timeframe Visibility
The script includes settings that allow users to specify which timeframes the indicator should be visible on. This feature helps traders focus on the most relevant timeframes for their trading strategies. Additionally, users can set the number of recent candles to display, providing a clear view of the most recent market trends.
5. Color Definitions
The indicator defines specific colors for bearish and bullish candles. Bearish candles are colored red, while bullish candles are green. These color definitions are applied based on the selected color scheme and the calculated trend, providing a quick visual reference for market conditions.
6. Time Constants
To manage different timeframes effectively, the script uses constants that represent various time intervals in milliseconds, such as minutes, hours, and days. These constants are used to convert timeframes into a format that the script can work with to determine the appropriate step size for calculations.
7. Step Size Determination
The script includes a function that determines the step size based on the selected timeframe. This function ensures that the indicator adapts to different timeframes, maintaining its accuracy and relevance across various trading periods. The step size is calculated based on time intervals, and appropriate labels (like "60", "240", "1D") are assigned.
- For timeframes less than or equal to 1 minute, the step size is set to "60".
- For timeframes less than or equal to 5 minutes, the step size is set to "240".
- For timeframes less than or equal to 1 hour, the step size is set to "1D" (daily).
- For timeframes less than or equal to 4 hours, the step size is set to "3D" (three days).
- For timeframes less than or equal to 12 hours, the step size is set to "7D" (weekly).
- For timeframes less than or equal to 1 day, the step size is set to "1M" (monthly).
- For timeframes less than or equal to 1 week, the step size is set to "3M" (three months).
- For all other timeframes, the step size is set to "12M" (yearly).
8. Trend Calculation
The core of the indicator is its ability to calculate market trends. Here's a detailed breakdown of how the `calculateTrend` function works:
- Initialization: Variables for the middle price and scale, and summations of high/low prices and ranges, are initialized.
- Summation Loop: A loop runs over the smoothing length to calculate the sum of high and low prices and their range.
- Middle and Scale Calculation: The middle price is determined as the average of high/low sums, and the scale is calculated as a fraction of the average range.
- Normalization: The high, low, and close prices are normalized based on the middle price and scale.
- HT Calculation: The normalized prices are smoothed using a simple moving average (SMA).
- Frequency and Exponential Calculations: The frequency and related constants (a, c1, c2, c3) are calculated for further smoothing.
- Smoothed Moving Average (SMA): A smoothed moving average is computed using the HT values and exponential constants.
- WT1 and WT2 Calculation: The final smoothed values (WT1) and their average (WT2) are derived.
9. Color Application Based on Trend
Once the trend is calculated, the script applies the appropriate color to the candles based on the selected color scheme. This function ensures that the visual representation of the trend is consistent with the user’s preferences.
10. Label Plotting for Timeframes
If the option to display timeframe labels is enabled, the script plots labels on the chart to indicate the current timeframe. This feature helps users quickly identify which timeframe they are analyzing.
11. Shape Plotting Based on Trend and Color Scheme
The indicator plots shapes (squares) on the chart based on the calculated trend and selected color scheme. These shapes provide an additional visual cue for market conditions, enhancing the overall clarity of the indicator.
12. Neutral Candle Color Option
The script includes an option to set the color of neutral candles when market conditions are neither strongly bullish nor bearish. This option helps traders better visualize periods of market indecision.
Summary
The "Regime Filter II " is a powerful and customizable tool for traders, offering clear visual cues for market trends and adaptability to various timeframes. By smoothing price data and applying intuitive color schemes, it helps traders make more informed decisions. With features like adjustable smoothing lengths, multiple color schemes, and optional neutral candle displays, this indicator enhances market analysis and trading strategy development. By following this comprehensive guide, traders can effectively utilize the "Regime Filter II " indicator to enhance their market analysis and make more informed trading decisions.
Best regards
RV - Relative Strength Index Buy/SellIntroduction
The RV - RSI B/S V1.2 indicator leverages the RSI to identify overbought and oversold conditions in the market. The RSI line color changes according to bullish, bearish, oversold, and overbought zones, helping users identify direction and avoid false trades. By plotting the RSI along with user-defined moving averages and Bollinger Bands, it offers a multi-faceted approach to analyzing market momentum.
Indicator Overview
The indicator RSI line color changes as per the bullish, bearish, oversold, and overbought zones. This helps users find out the direction and the zones. The oversold and overbought zones are colored to help users avoid false trades.
Trading Strategy
Long Trades (Bullish Setup):
Entry: A long trade is initiated when the RSI crosses from 60 up to 80.
Exit: Long trades are generally exited when the RSI is between 80 and 90.
Condition: No long trades are taken if the RSI exceeds 80.
Short Trades (Bearish Setup):
Entry: A short trade is initiated when the RSI crosses from 40 down to 20.
Exit: Short trades are generally exited when the RSI is between 20 and 10.
Condition: No short trades are taken if the RSI falls below 20.
RSI Color Coding and Interpretation
The RV - RSI B/S V1.2 indicator uses color coding to provide a visual representation of RSI values, making it easier to identify critical levels at a glance:
Green (RSI 60-80): Indicates a bullish zone where long trades can be considered.
Red (RSI > 80): Signals an overbought condition where long trades should be avoided.
Orange (RSI 20-40): Indicates a bearish zone where short trades can be considered.
Pink (RSI < 20): Signals an oversold condition where short trades should be avoided.
RSI Settings and Their Importance
RSI Length: The default length is set to 12, which is the standard period for RSI calculation. This setting can be adjusted to increase or decrease sensitivity.
Source: The source of the data for the RSI calculation is typically the closing price.
MA Type: Various moving averages can be applied to the RSI, including SMA, EMA, SMMA (RMA), WMA, and VWMA. Each type offers different smoothing properties and can be selected based on
trading preferences.
MA Length: The default length is set to 20, aligning with the RSI length for consistency.
Bollinger Bands: When using Bollinger Bands, the standard deviation multiplier is set to 2.0 by default, but it can be adjusted to suit different volatility conditions.
Disclaimer
This indicator provides valuable signals for potential trading opportunities based on RSI levels and moving averages. However, it is crucial to incorporate directional price action analysis to confirm signals and improve trading accuracy. The RV - RSI B/S V1.2 should be used as part of a broader trading strategy, considering other technical and fundamental factors.
PFCF Price BandPFCF Price Band shows price calculated using the previous period's high and low P/TTM FCFPS (TTM's price to free cash flow per share over the last 12 months) multiplied by TTM's current FCFPS ( Similar to price theory = P/E x expected earnings per share)
If the current P/FCFPS is lower than the minimum P/FCFPS, it is considered cheap. In other words, above the maximum P/FCFPS is considered expensive.
PFCF Price Band consists of 2 parts.
- Firstly, the historical P/FCFPS value in "Green" (if TTM FCFPS is positive) or "Red" (if TTM FCFPS is negative) status changes based on the latest high or low price of TTM FCFPS.
- Second, the blue line is the closing price divided by TTM FCFPS, which shows the current P/FCF.
P.S. It is recommended to use it together with the PE Band indicator because just net profit does not mean that a company has good cash flow.
Notional Trade Table
Notional Trade Table indicator displays notional trade values for given Buy and Sell of given input of Symbol, Quantity, Entry Price and Stop Loss .
Sections of Input Menu Table are supported with Tool Tip icons.
Input Symbols:
(Refer Input Menu)
User can choose maximum 20 Symbols.
Input Side Choice (BUY/SELL):
(Refer Input Menu)
After choosing Symbol, User has to choose the BUY or SELL option for each Symbol against the corresponding Sybol number. If NIL is selected “Nil is selected ” message is displayed prompting the user to select BUY or SELL sides.
For example in the above Input Menu:
Sym1 is BATS:AAPL. Corresponding Side 1 is Sell1.
Sym2 is BATS:NVDA Corresponding Side 2 Sell 2.
Sym12 is BATS:NFLX. Corresponding Side 12 is Buy12 and so on.
Input Quantity:
(Refer Input Menu)
Next enter Corresponding Quantity of BUY or SELL in relevant Quantity Input Box. Quantity cannot be Zero. Defval is 1.
For Sym1 input in Qty 1 box,for Sym2 input in Qty 2 box and so on.
Input Entry Price:
(Refer Input Menu)
After entering Quantity Input Entry Price for Corresponding Symbol.
Input for Sym1 Entry Price in EP1 box
Input for Sym2 Entry Price in EP2 box
and so on.
Input Stop Loss:
(Refer Input Menu)
Next Enter corresponding Stop Loss for each Symbol.
SL1 input box denotes Sym1 Stop Loss.
SL2 input box denotes Sym2 Stop Loss.
SL3 input box denotes Sym3 Stop Loss and so on.
Stop Loss for Chosen BUY side should be below corresponding Entry Price/Last Price. Otherwise a message is displayed “SL Hit”. User has to enter valid data.
Stop Loss for Chosen SELL side should be above corresponding Entry Price/Last Price. Otherwise a message is displayed “SL Hit”. User has to enter valid data.
Notional Trade Table:
(Refer the Table on Chart)
From the input menu filled by User script captures the Symbol, BUY/SELL options, Quantity,
Entry Price and Stop Loss details under the corresponding heads in the Notional Trade Table.
The script captures the live Last traded Price under the head LP and calculates and displays corresponding Profit or Loss under PR/LO column in the table.
SL+- LP is the difference between Last traded Price (LP) and Stop Loss Price. Positive figure under this head reflects Stop Loss cushion available .
Nil header column reflects message “NIL selected” prompting the User to select BUY or SELL sides.
SLH header displays “SL Hit” on Stop Loss Hit or wrong input of Stop Loss inconsistent with BUY or SELL sides of Trade. On “SL Hit” message all values in corresponding Symbol becomes Zero. User has to re-enter the details fresh .
On the top left side corner of the table there are 2 cells with Prono and Lono.They denote the number of trades which are in Profit (Prono) and which are in Loss(Lono).
It is preferable to choose Symbols from a single country exchange commensurate with the Time zone. Otherwise if Exchange and Chart time Zone differs there is risk of data loss in the table.
DISCLAIMER: For educational and entertainment purpose only .Nothing in this content should be interpreted as financial advice or a recommendation to buy or sell any sort of security/ies or investment/s.
Dickey-Fuller Test for Mean Reversion and Stationarity **IF YOU NEED EXTRA SPECIAL HELP UNDERSTANDING THIS INDICATOR, GO TO THE BOTTOM OF THE DESCRIPTION FOR AN EVEN SIMPLER DESCRIPTION**
Dickey Fuller Test:
The Dickey-Fuller test is a statistical test used to determine whether a time series is stationary or has a unit root (a characteristic of a time series that makes it non-stationary), indicating that it is non-stationary. Stationarity means that the statistical properties of a time series, such as mean and variance, are constant over time. The test checks to see if the time series is mean-reverting or not. Many traders falsely assume that raw stock prices are mean-reverting when they are not, as evidenced by many different types of statistical models that show how stock prices are almost always positively autocorrelated or statistical tests like this one, which show that stock prices are not stationary.
Note: This indicator uses past results, and the results will always be changing as new data comes in. Just because it's stationary during a rare occurrence doesn't mean it will always be stationary. Especially in price, where this would be a rare occurrence on this test. (The Test Statistic is below the critical value.)
The indicator also shows the option to either choose Raw Price, Simple Returns, or Log Returns for the test.
Raw Prices:
Stock prices are usually non-stationary because they follow some type of random walk, exhibiting positive autocorrelation and trends in the long term.
The Dickey-Fuller test on raw prices will indicate non-stationary most of the time since prices are expected to have a unit root. (If the test statistic is higher than the critical value, it suggests the presence of a unit root, confirming non-stationarity.)
Simple Returns and Log Returns:
Simple and log returns are more stationary than prices, if not completely stationary, because they measure relative changes rather than absolute levels.
This test on simple and log returns may indicate stationary behavior, especially over longer periods. (The test statistic being below the critical value suggests the absence of a unit root, indicating stationarity.)
Null Hypothesis (H0): The time series has a unit root (it is non-stationary).
Alternative Hypothesis (H1): The time series does not have a unit root (it is stationary)
Interpretation: If the test statistic is less than the critical value, we reject the null hypothesis and conclude that the time series is stationary.
Types of Dickey-Fuller Tests:
1. (What this indicator uses) Standard Dickey-Fuller Test:
Tests the null hypothesis that a unit root is present in a simple autoregressive model.
This test is used for simple cases where we just want to check if the series has a consistent statistical property over time without considering any trends or additional complexities.
It examines the relationship between the current value of the series and its previous value to see if the series tends to drift over time or revert to the mean.
2. Augmented Dickey-Fuller (ADF) Test:
Tests for a unit root while accounting for more complex structures like trends and higher-order correlations in the data.
This test is more robust and is used when the time series has trends or other patterns that need to be considered.
It extends the regular test by including additional terms to account for the complexities, and this test may be more reliable than the regular Dickey-Fuller Test.
For things like stock prices, the ADF would be more appropriate because stock prices are almost always trending and positively autocorrelated, while the Dickey-Fuller Test is more appropriate for more simple time series.
Critical Values
This indicator uses the following critical values that are essential for interpreting the Dickey-Fuller test results. The critical values depend on the chosen significance levels:
1% Significance Level: Critical value of -3.43.
5% Significance Level: Critical value of -2.86.
10% Significance Level: Critical value of -2.57.
These critical values are thresholds that help determine whether to reject the null hypothesis of a unit root (non-stationarity). If the test statistic is less than (or more negative than) the critical value, it indicates that the time series is stationary. Conversely, if the test statistic is greater than the critical value, the series is considered non-stationary.
This indicator uses a dotted blue line by default to show the critical value. If the test-static, which is the gray column, goes below the critical value, then the test-static will become yellow, and the test will indicate that the time series is stationary or mean reverting for the current period of time.
What does this mean?
This is the weekly chart of BTCUSD with the Dickey-Fuller Test, with a length of 100 and a critical value of 1%.
So basically, in the long term, mean-reversion strategies that involve raw prices are not a good idea. You don't really need a statistical test either for this; just from seeing the chart itself, you can see that prices in the long term are trending and no mean reversion is present.
For the people who can't understand that the gray column being above the blue dotted line means price doesn't mean revert, here is a more simple description (you know you are):
Average (I have to include the meaning because they may not know what average is): The middle number is when you add up all the numbers and then divide by how many numbers there are. EX: If you have the numbers 2, 4, and 6, you add them up to get 12, and then divide by 3 (because there are 3 numbers), so the average is 4. It tells you what a typical number is in a group of numbers.
This indicator checks if a time series (like stock prices) tends to return to its average value or time.
Raw prices, which is just the regular price chart, are usually not mean-reverting (It's "always" positively autocorrelating but this group of people doesn't like that word). Price follows trends.
Simple returns and log returns are more likely to have periods of mean reversion.
How to use it:
Gray Column (the gray bars) Above the Blue Dotted Line: The price does not mean revert (non-stationary).
Gray Column Below Blue Line: The time series mean reverts (stationary)
So, if the test statistic (gray column) is below the critical value, which is the blue dotted line, then the series is stationary and mean reverting, but if it is above the blue dotted line, then the time series is not stationary or mean reverting, and strategies involving mean reversion will most likely result in a loss given enough occurrences.
