Trend Continuation Signals [AlgoAlpha]Introducing the Trend Continuation Signals by AlgoAlpha 🌟🚀
Elevate your trading game with this multipurpose indicator, designed to pinpoint trend continuation opportunities as well as highlight volatility and oversold/overbought conditions. Whether you're a trading novice or a seasoned market veteran, this tool offers intuitive visual cues to boost your decision-making and enhance your market analysis. Let's explore the key features, how to use it effectively, and delve into the operational mechanics that make this tool a game-changer in your trading arsenal:
Key Features:
🔥 Advanced Trend Detection : Leverages the Hull Moving Average (HMA) for superior trend tracking as compared to other MAs, offering unique insights into market momentum.
🌈 Volatility Bands : Implements adjustable bands around the trend line, which evolve with market conditions to highlight potential trading opportunities.
⚡ Trend Continuation Signals : Identifies bullish and bearish continuation signals, equipping you with actionable signals to exploit the prevailing market trend.
🎨 Intuitive Color Coding : Employs a vibrant color scheme to distinguish between uptrends, downtrends, and neutral phases, facilitating easy interpretation of the indicator's insights.
🛠 How to Use "Trend Continuation Signals ":
🔍 Setting Up : Incorporate the indicator onto your chart and customize the indicator to suite your preferences.
👀 Reading the Signals : Pay attention to the color-coded trend lines and volatility bands. Green indicates an uptrend, red signifies a downtrend, and gray denotes a neutral market condition.
📈 Identifying Entry Points : Look for bullish (▲) and bearish (▼) continuation icons below or above the price bars as signals for potential entry points for long or short positions, respectively.
🔄 Confirmation : Validate your trades with further analysis or other indicators. The Trend Continuation Signals are most effective when complemented by other technical analysis tools or fundamental insights.
📉 Risk Management : Implement stop-loss orders in line with your risk appetite and adjust them based on the volatility bands provided by the indicator to safeguard your investments.
How It Operates:
The essence of the indicator is captured through the hull moving averages for both the primary and secondary lines, set at periods of 93 and 50, respectively, to reflect market trends and pullbacks that trigger the continuation signals every time price recovers from a detected pullback.
Volatility is quantified through the standard deviation of the midline, magnified by a factor, establishing the upper and lower trend band boundaries.
Further volatility bands are plotted around the main volatility band, providing a granular view of market volatility and potential breakout or breakdown zones.
Market trend direction is determined by comparing the HMA line's current position to its previous value, enhanced by the secondary line to identify continuation patterns.
Embrace the power of the Trend Continuation Signals to enhance your trading strategy! It is important to note that all indicators are best used in confluence with other forms of analysis, happy trading! 📊💥
Rata-Rata Pergerakan / Moving Averages
Inverted EMAThe concept of an inverted Exponential Moving Average (EMA) isn't commonly used in traditional technical analysis or trading strategies. Inverting the EMA essentially means taking the reciprocal of the EMA values. While it may not have widespread use or recognition, here are some potential considerations or interpretations for the inverted EMA:
1. **Inverse Trend Indicator:**
- Inverting the EMA might be considered as an alternative approach to trend analysis. When the inverted EMA is rising, it could suggest a potential bearish trend, and when it is falling, it might indicate a bullish trend. Traders might explore using this as a contrarian or unconventional trend indicator.
2. **Volatility Indicator:**
- The inverted EMA might be used as a measure of volatility. When the values are fluctuating rapidly, it could imply increased volatility in the underlying asset. This could be useful for traders who are interested in gauging market dynamics.
3. **Divergence Analysis:**
- Traders may explore divergences between price and the inverted EMA. For instance, if prices are making new highs, but the inverted EMA is not, it could signal potential weakness or divergence in the bullish trend.
4. **Inverse Moving Average Crossovers:**
- In the context of moving average crossovers, traders usually look for crossovers between shorter and longer EMAs as potential signals. Inverting this concept, crossovers between inverted short-term and long-term EMAs might be explored for unconventional trading signals.
5. **Systematic Exploration:**
- Traders and researchers sometimes experiment with unconventional indicators to discover new patterns or behaviors in the market. The inverted EMA could be part of systematic exploration to uncover unique insights that traditional indicators might not reveal.
It's important to note that the interpretation and use of the inverted EMA depend on the trader's strategy, risk tolerance, and specific market conditions. Traders should thoroughly backtest any strategy involving unconventional indicators and use them cautiously in live trading. Additionally, the effectiveness of the inverted EMA may vary across different financial instruments and timeframes.
LV Stock Valuation by Benjamin Graham's FormulaBenjamin Graham's stock valuation formula for growth companies is based on the principle that a stock is a part of a business, and that by analyzing the fundamentals of any company in the stock market, you should be able to derive its intrinsic value independent from its current stock price. Graham suggests that over the long-term, the stock price of a company and its intrinsic/fair value will converge towards each other until the stock price reflects the true value of the company. Finally, Graham recommends that after estimating the intrinsic value of a stock, investors should always purchase the stock with a "margin of safety," to protect oneself from assumptions and potential errors made in the valuation process.
Graham's stock valuation formula to calculate intrinsic value was originally shown in the 1962 edition of Security Analysis as follows:
V = EPS * (8.5 + 2g)
where:
V = intrinsic value per share (over the next 7-10 years)
EPS = earnings per share (over the trailing twelve months (TTM))
8.5 = price-to-earnings (P/E) base for a no-growth company
g = reasonably expected annual growth rate (over the next 7-10 years)
In 1974, Graham revised this formula, as published in The Intelligent Investor, to include a discount rate (aka required rate of return). This was after he concluded that the greatest contributing to stock values and prices over the past decade had been due to interest rates.
Graham's current stock valuation formula is shown below:
V = (EPS * (8.5 + 2g) * Z) / Y
where:
V = intrinsic value per share (over the next 7-10 years)
EPS = diluted earnings per share (over the trailing twelve months (TTM))
8.5 = price-to-earnings (P/E) base for a no-growth company (you can change it manually)
g = reasonably expected annual growth rate (calculated by 5-Yr EPS CAGR%) (you can change year period)
Z = average yield of XXX Bonds (4.4 is default on Graham's formula)
Y = current yield of XXX Bonds
Current bond yield values (Z and Y) are selected as an example from Turkey. You need to change it according to the country of stocks.
Buy price (BP) = Intrinsic value per share * (1 - Margin of safety %)
Margin of safety = selected 20% (you need to change it to 0, if you don’t want to use margin of safety and to see intrinsic value)
Buy price > Current market price: Consider buying the stock, as the current market price appears to be undervalued.
Buy price < Current market price: Consider selling or not buying the stock, as the current market price appears to be overvalued.
Keep in mind that this buy/sell recommendation is purely based on Graham's stock valuation formula and the current market price, and ignores all other fundamental, news, and market factors investors should examine as well before making an investment decision.
Buy price is calculated for 5 different P/E values in the script.
1. with fixed P/E
2. with current P/E
3. with forward P/E
4. with sector P/E (optional)
5. with index P/E (optional)
You can also do calculations by using different growth rate by selecting that option.
Different type of moving averages is also included in the script as an option.
VWMACD Oscillator @shrilssThe VWMACD Oscillator is a unique and innovative trading indicator designed to provide insights into market momentum using the Volume Weighted Moving Average Convergence Divergence (VWMACD) concept. This script amalgamates various elements to offer a comprehensive view of market trends and potential reversal points.
Key Features:
- Fast Period: Adjust the fast moving average period to fine-tune the sensitivity of the indicator to short-term price movements.
- Slow Period: Set the slow moving average period to control the responsiveness of the indicator to longer-term trends.
- Signal Period: Determine the signal line period to smooth out fluctuations and identify potential trade signals.
- Longer Period: Define the longer period to capture extended trends and market cycles.
How it Works:
The VWMACD Oscillator is derived from the convergence and divergence of two volume-weighted moving averages. It combines the volume factor with the source input to create a robust momentum oscillator. The fast and slow moving averages are calculated by weighting the source with the corresponding volume, providing a unique perspective on market strength.
Dynamic Price Targets @shrilssDynamic Price Targets is a designed to provide traders with a comprehensive view of dynamic price levels based on Volume Weighted Moving Average (VWMA) and standard deviation. This script allows users to identify potential support and resistance zones, aiding in strategic decision-making during market analysis.
The script calculates the VWMA of a chosen price source over a specified length, establishing a dynamic baseline for market trends. The standard deviation is then used to derive multiple upper and lower targets, each representing a certain deviation from the VWMA. These levels are color-coded for clarity, with upper targets displayed in shades of red and lower targets in shades of green.
[blackcat] L1 Fibonacci MA BandThe true charm of the Fibonacci moving average band lies not only in its predictive ability. Its essence is that it combines the beauty of mathematics with the practicality of market analysis, providing traders with a powerful tool to optimize trading strategies. It's not a simple number game, but a wisdom that sees into the deeper structure of the market.
Next, we will delve into the core technical indicators of the Fibonacci moving average band - WHALES, RESOLINE, STICKLINE functions, and TRENDLINE, as well as their clever applications. The WHALES indicator, with its 12-period exponential moving average, captures short-term market trends; the RESOLINE indicator, through the 120-period EMA, reveals mid-term market movements; the STICKLINE function, distinguishes the relationship between WHALES and RESOLINE with colors, providing clear visual aids; while TRENDLINE, combining price slope with EMA, depicts more detailed market changes for traders.
The integrated application of these indicators has built a multi-dimensional market analysis framework for traders. They help traders examine the market from different angles, judge the market status more accurately, and make wiser decisions in the ever-changing market environment. The Fibonacci moving average band indicator is like a lighthouse, emitting guiding light in the ocean of trader's navigation.
1. `xsl(src, len)` function: This function calculates a value called the linear regression slope. Len defines the length of the linear regression. Then, this function normalizes the difference between the current value of the linear regression and the previous value. The formula is `(lrc - lrprev) / timeframe.multiplier`.
2. `whales`, `resoline`, and `trendline` are Exponential Moving Averages (EMA) calculated in different ways. "whales" is the 13-period closing price EMA, "resoline" is the 144-period closing price EMA, and "trendline" is a more complicated EMA. It is the 50-period EMA calculated by the 21-period closing price slope multiplied by 23 plus the closing price.
3. The `plotcandle` function draws two sets of candlestick charts. One set shows in blue when "whales" is greater than "resoline", and the other set shows in green when "whales" is less than "resoline".
4. The `plot` function draws three lines: "whales", "resoline", and "trendline". "whales" is displayed in orange with a line thickness of 2. "resoline" is displayed in yellow with a line thickness of 1. "trendline" is displayed in red with a line thickness of 3.
5. The last line draws a conditional line. When the closing price is less than the "trendline", the green "trendline" is drawn, otherwise, it is not drawn. This is a logical judgment, the drawing operation is only executed when the condition is met.
Dual Dynamic Fibonacci Grouped Averages with Color ChangeRed Bearish Green Bullish
Using grouped fib averages, works similar to SMA
Clustered Asset Moving Average @shrilssThe Clustered Asset Moving Average script is designed to provide traders with a unique perspective on a cluster of multiple assets. By combining the closing prices and volumes of 12 specified assets, this indicator calculates a Clustered Moving Average to reveal potential trends and market sentiment within this asset cluster.
Key Features:
- Asset Cluster Analysis:
The script considers 12 assets, including well-known names such as Google (GOOG), Microsoft (MSFT), Apple (AAPL), Tesla (TSLA), and others.
It calculates the price and volume of each asset to form a comprehensive view of the asset cluster.
- Clustered Moving Average Calculation:
The Asset Price and Volume are combined to calculate the Clustered Moving Average
This moving average reflects the relationship between the aggregated price and volume of the specified assets.
- Multiple Exponential Moving Averages (EMA):
The script includes three EMAs (10, 25, and 100) applied to the Clustered Moving Average, providing different time perspectives.
Users can customize the visibility of each EMA based on their trading preferences.
- Visual Representation:
The indicator offers a visual representation of the Clustered Moving Average, allowing traders to quickly identify trends and potential reversal points.
Different EMAs are color-coded, enhancing visual clarity.
MTF MA ChaserThis is my own Moving Averages analysis tool, if anyone else will find it useful.
How It Works:
Upon adding the indicator to the chart, it calculates the selected Moving Averages for the defined timeframes. The main chart will display these MAs according to the user's chosen timeframe and type (default is the chart timeframe). Simultaneously, a table is generated on the chart, showcasing the percentage difference of the current price from these MAs across various timeframes. This table is color-coded to indicate different market states, such as proximity to MA/price crossovers.
Key Features:
Multi-Timeframe Analysis: Users can view Moving Average data from different timeframes (5m, 15m, 1H, 4H, 1D, 1W) on their current chart. This allows for quick and efficient analysis without the need to switch between different timeframe charts.
Variety of Moving Averages: The indicator supports different types of MAs, including EMA (Exponential Moving Average), SMA (Simple Moving Average), and others, providing flexibility in analysis.
Realtime Data Option: Users can choose to display real-time data for MAs, enabling them to make timely trading decisions based on the most current market information.
Customizable Display: The indicator features a customizable table that displays the MA values and their differences from the current price in percentages. Users can show or hide this table and adjust its position and text size according to their preference.
Limited Timeframe Support: The indicator is designed to work on equal or higher timeframes relative to the current chart's timeframe. It specifically supports 5-minute (5m), 15-minute (15m), 1-hour (1H), 4-hour (4H), 1-day (1D), and 1-week (1W) timeframes. This means if your current chart is set to a 1-hour timeframe, the indicator will only show MA data for 1-hour and longer timeframes (4H, 1D, 1W), but not for shorter ones like 5m or 15m.
Yet, you can go down to a 1 - 4 minute chart for scalping purposes if necessary.
Engulfing pullbackThis Indicator searching for pullback on input Moving Average with Engulfing candle
Rules for indicator :-
Buy Signal -
1) search for pullback on ma if price above ma and come back and touches ma
2)after pullback on ma searching for bullish engulfing pattern on next candle
3)if pullback on previous candle and bullish engulfing for buy signal form
Sell Signal -
1) search for pullback on ma if price below ma and come back touches ma
2)after pullback on ma searching for bearish engulfing pattern on next candle
3)if pullback on previous candle and bearish engulfing for buy signal form
Disclaimer -Traders can use this script as a starting point for further customization or as a reference for developing their own trading strategies. It's important to note that past performance is not indicative of future results, and thorough testing and validation are recommended before deploying any trading strategy.
Four WMA Strategy with TP and SLBasically I read a research paper on how they used different moving averages for long entries and short entries, and it kind of dawned on me that I always used the same one for long entry or exit, or even swing trading. So I smashed this together to see what would happen.
The strategy combines the use of four different WMAs for identifying trade entry points, along with a predefined take profit (TP) and stop loss (SL) for risk management. Here's a detailed description of its features and how it operates:
Main Features
1. **WMAs as the Core Indicator**:
- The strategy uses four WMAs with different lengths. Two WMAs (`longM1` and `longM2`) are used for long entry signals, and the other two (`shortM1` and `shortM2`) for short entry signals.
- The lengths of these WMAs are adjustable through input parameters.
2. **Trade Entry Conditions**:
- A long entry is signaled when the shorter WMA crosses under the longer WMA .
- Conversely, a short entry is signaled when the shorter WMA crosses under the longer WMA.
3. **Take Profit and Stop Loss**:
- The strategy includes a take profit and stop loss mechanism.
- The TP and SL levels are set as a percentage of the entry price, with the percentage values being adjustable through input parameters.
4. **Visual Representation**:
- The WMAs are plotted on the chart for visual aid, each with a distinct color for easy identification.
How It Works
- The strategy continuously monitors the crossing of WMAs to detect potential entry points for long and short positions.
- Upon detecting a long or short condition, it automatically enters a trade and sets the corresponding TP and SL levels based on the current price and the specified percentages.
- The strategy then actively manages the trade, exiting the position when either the TP or SL level is reached.
Drawbacks
- **Overreliance on WMAs**: The strategy heavily relies on WMAs for trade signals. While WMAs are useful for identifying trends, they might not always provide timely entry and exit signals.
- **Market Conditions**: It may not perform well in highly volatile or sideways markets where WMA crossovers could lead to false signals.
- **Risk Management**: The fixed percentage for TP and SL might not be suitable for all market conditions. Traders might need to adjust these values frequently based on market volatility and their risk tolerance.
Apparently I need to emphasize to use brains when using indicators and setting them up to achieve the results you can or want. Also risk of 12% is considered very high so I lowered the numbers to 5%, which tanked the profits, try adjusting them on your own. Check the properties settings for more info on comission and slippage.
Conclusion
The "Four WMA Strategy with TP and SL" is suitable for traders who prefer a moving average-based approach to trading, combined with a straightforward mechanism for risk management through take profit and stop loss. However, like all strategies, it should be used with an understanding of its limitations and ideally tested thoroughly in various market conditions before applying it to live trading.
Risk Metric combinedAttempt at replicating a simplified Risk-Metric for BTC.
Original code written by user Oakley Wood.
Based on 3 different approaches:
- deviation from 4 year sma
- ln(btc / 20 wma)
- 50D MA / 50W MA
Qullamaggie ADR and Volatility and Price Change IndicatorElevate your trading strategy with Qullamaggie ADR, a dynamic indicator inspired by the Kristjan Qullamaggie trading approach. Gain a deeper understanding of market dynamics, daily price movements, and potential turning points.
Key Features:
Qullamaggie ADR: Assess market volatility through the QullaADR, offering customizable time intervals (5, 10, 15, 20 days) to adapt to various trading styles.
Today's Change: Monitor price changes relative to the low of the current trading day, providing valuable intraday insights.
PrevDay price differentials from the previous day's low, aiding in the identification of potential trend reversals.
Track the percentage change from the opening price, offering a snapshot of intraday market sentiment.
Percent from 10-day SMA: Visualize the percentage difference between the closing price and a 10-day Simple Moving Average (SMA), a key trend-following indicator.
Usage:
Utilize QullaADR to set realistic profit targets and stop-loss levels based on current market conditions.
Identify potential trend shifts by observing changes from the previous day's low with Today's QullaChange.
Incorporate QullaPercent from 10-day SMA for trend confirmation and well-informed trading decisions.
Strategy Inspiration:
QullaADR draws inspiration from the Kristjan Qullamaggie trading strategy, aiming to complement your trading toolkit and enhance decision-making.
Disclaimer:
Trading involves risk, and past performance is not indicative of future results. Use this indicator as a supplementary tool within a comprehensive trading strategy.
Version: 1.0
LYFX-GOLD-15MIndicator Operation Method:
The indicator provides a buy signal when the price stabilizes above the moving averages. It should be close to the averages at the same time to ensure a close stop loss.
When the conditions are met, a long trade is opened, and the buy signal appears on the indicator. The stop loss is placed with the red line, and the targets are indicated with the blue balloons. Usually, the first target is twice the stop loss, and the second target is three times the stop loss.
This indicator is one of the most powerful indicators for monitoring price explosions in gold.
For clarification, this indicator is used (according to its default settings) exclusively for gold and only on the 15-minute timeframe. The indicator is created by Mr. Layth Al-Muhandis:
The indicator provides a very close stop loss compared to the first and second targets. I recommend adhering strictly to the stop loss and securing the trade after achieving profits.
This is a simple explanation of how the indicator works.
طريقة عمل المؤشر:
يوفر المؤشر إشارة شراء عند استقرار السعر فوق المتوسطات المتحركة. يجب أن يكون السعر قريبًا من المتوسطات في نفس الوقت لضمان وجود استوب لوس قريب.
عند تحقيق الشروط، يتم فتح صفقة شراء، وتظهر إشارة الشراء على المؤشر. يتم وضع الاستوب لوس بالخط الأحمر، وتوضح البالونات الزرقاء الأهداف. عادةً، يكون الهدف الأول ضعف الاستوب لوس، والهدف الثاني ثلاثة أضعاف الاستوب.
هذا المؤشر من بين أقوى المؤشرات لرصد انفجارات الأسعار في الذهب.
للتنويه، يُستخدم هذا المؤشر (وفقًا لإعداداته الافتراضية) حصريًا للذهب وعلى فاصل زمني 15 دقيقة فقط. تم إنشاء المؤشر بواسطة السيد ليث المهندس.
يوفر المؤشر استوب لوس قريب جداً مقارنة بالهدف الأول والهدف الثاني. أنصح بالالتزام الصارم بالاستوب لوس وتأمين الصفقة بعد تحقيق الأرباح.
Multi MAs mit LabelA MA (Moving Average) is useful to identify a trend of an assets. The TradingView builtin indicator "Exponential Moving Average" is useful, but limited in some aspects:
Bound to the active timeframe (e.g. h1)
One MA per indicator instance. Makes it confusing when using multiple
In reality to want to have multiple MAs with different types (EMA, SMA), length and timeframes on your chart to identify trading opportunities. As an example you can use the daily EMA12 and EMA21 to identify the trend and EMA200 on the h4 to enter a trade. That's what this script is used for.
The provided script is an extension to the indicator powered by chipmonk (link to profile below). The original script let you add up to 8 EMAs that can be bound to any timeframe and length. The timeframe and length is displayed on the chart next to EMA.
Unfortunately you can only add EMAs (Exponential Moving Averages) and no SMAs (Simple Moving Averages). That's why the script was extended. You can now choose the type (EMA or SMA) for up to 8 MAs.
Links
Profile of chipmonk
Indicator by chipmonk
