Bitcoin Cycles IndicatorBitcoin Cycles Indicator
The "Bitcoin Cycles Indicator" is designed to provide insights into the current market cycle of Bitcoin. It utilizes a combination of market cap real and total volume transfer to generate a visual representation of the market cycle.
Indicator Phases:
Cycle Lows (Green): Indicates potential low points in the cycle.
Under Valued (Aqua): Represents phases where Bitcoin might be undervalued.
Fair Market Value (Purple): Reflects periods considered to be at fair market value.
Aggressively Valued (Orange): Marks phases where Bitcoin might be aggressively valued.
Over Valued (Red): Suggests potential overvaluation of Bitcoin in the cycle.
Bitcoin Cycles can identify periods of increased risk when transaction behavior on-chain is indicative of major cycle highs. It also identifies areas of value opportunity where on-chain transaction behavior signals major cycle lows.
Historically, Bitcoin has exhibited cyclical behavior roughly every four years, coinciding with significant events known as "halvings."
While the historical correlation between Bitcoin's cycles and halving events is compelling, market dynamics are subject to change. Traders and investors should approach the market with a comprehensive strategy, incorporating multiple indicators and risk management techniques to navigate Bitcoin's evolving landscape.
Cycles
[PUZ] MACD MTB System MTFMACD Moving Average convergence/divergence
Here are a little articel how the MACD is calculated an how you can use it.
en.wikipedia.org
This Indicator have many differet spezifications than a normal MACD.
You can use different timeframes.
The histogramm workes a litle bit smother
The signalline have two different colors:
He is blue when the macd line is greater than the signalline and the signalline is red when the macd line is smaller than the signalline.
The macd line habe three different colores:
Color green when the macd line is greater than the macd line one period back and the macd line is under the signal line.
Color yellow when the macd line is smaller than the macd line one period back and the macd line is greater than the signalline.
Color gray when the conditions fot color yellow an green are not true
Three different types for Signals
The L1 signal show you a triange when the macd ist crossover or crossunder the signal line, you can use the L1 Threshold to filter the signals.
For example the L1 long threshold is equal to 0 than the Indicator show you only L1 long singnals when the crossover from the macd line to the signal line is smaller than 0.
This works like the same for all Signals (L2 signals / L3 signals)
The L2 signals show you a bigger triangle when the color from the macd line is eqal to yellow or green, you can use the L2 Threshold to filter the signals.
The L3 signals show you a green or red diamond when the histogramm is rising or falling, you can use the L3 Threshold to filter the signals.
Multibit Signal Compatible Indicator with DJMAD Multibit System
This Pine Script indicator is designed to function as part of the Multibit Signal System developed by DJMAD. It encompasses a comprehensive implementation of a MACD-based trading strategy with multiple threshold levels, color-coded signals, alert functionalities, and seamless compatibility with the Multibit Signal System for more sophisticated signal analysis and trading strategies.
Signal Daisychain:
Provides a configurable interface (Signal_Channel_Line1 to Signal_Channel_Line6) that allows users to select channel lines for Long and Short conditions, specifically designed for compatibility with the Multibit Signal System.
Multibit Signal Integration:
Utilizes functions from DJMAD's Signal_transcoder_library to encode and decode signals, ensuring compatibility with the Multibit Signal System for advanced signal processing and strategy development.
For more Informations about the Multibit System please look at djmad Tradingview Profile.
Daily Automatic OTE (FX4LIVING)Description:
The Daily Automatic OTE is the Free version of the Automatic OTE (FX4_LIVING) . Unlock the Daily OTE with this advanced indicator, simplifying the intricate world of Daily Fibonacci retracements.
In collaboration with FX4_LIVING, key levels are thoughtfully grouped for enhanced ease and organization. These include the High, Low, Equilibrium (EQ), and the Optimal Trade Entry (OTE).
Optimal Trade Entry is a concept taught by the Inner Circle Trader utilizing fibonacci retracements to gauge when price is considered in Premium or Discount. When price reaches 62% retracement of the anchored swings, price enters an area considered for an optimal trade entry.
This said, these levels can act as much more than a simple retracement tool, showing continuous levels that price refers back to based on Premium and Discount prices of the previous interval.
CME_MINI:NQ1! Price trading from Premium to Discount, landing at OTE at the end of the Day:
... another CME_MINI:NQ1! example, the following Day:
This tool provides with default levels aligned to FX4_LIVING's Trading Models. The integrated data table offers a distilled view of price action, enabling easy tracking where price is trading compared to the previous Day in percentage – where the High and the Low represent Previous Daily High and Previous Daily Low interchangeably. This feature allows you to quickly know where price is, even if you decide to hide the Fibonacci Levels.
Key Features:
Versatility Across Assets: Daily Automatic OTE is meticulously designed for futures, forex, and bond markets, offering a comprehensive solution for a wide range of financial instruments.
Adaptive Table Colors: witness the data table adapt its colors when price approaches OTE levels, aligning seamlessly with Fibonacci levels.
Other Features:
Customize Fibonacci and Key Level Line Style.
Personalize Fibonacci and Key Level Line Color.
Adjust Fibonacci and Key Level Line Width.
Tailor Table Size and Location.
Usage Guidance:
Add Daily Automatic OTE to your Tradingview chart.
Observe where and when Fibonacci Levels are traded. Leverage this invaluable information to shape your narrative, whether you choose to explore internal range liquidity or capitalize on post-purge reversals.
Customize your desired Timeframe and Fibonacci Levels according to your preferences.
These tools are available ONLY on the TradingView platform.
Automatic OTE (FX4LIVING) [Pro+]Description:
Unlock the precision of your trading endeavors with our cutting-edge Automatic OTE Fibonacci Tool. This advanced indicator not only simplifies the intricate world of Fibonacci retracements but also introduces a unique time-based anchoring feature.
Thanks to the Timeframe feature, analysts can anchor Fibonacci High and Low values to any selected timeframe. While many find Monthly, Weekly, Daily, 4H, and 1H ranges effective, our tool offers unparalleled flexibility, allowing custom Tradingview times for 90-minute candle ranges and other bespoke intervals.
In collaboration with FX4_LIVING, key levels are thoughtfully grouped for enhanced ease and organization. These include the High, Low, Equilibrium (EQ), and the Optimal Trade Entry (OTE).
Optimal Trade Entry is a concept taught by the Inner Circle Trader utilizing fibonacci retracements to gauge when price is considered in Premium or Discount. When price reaches 62% retracement of the anchored swings, price enters an area considered for an optimal trade entry.
This said, these levels can act as much more than a simple retracement tool, showing continuous levels that price refers back to based on Premium and Discount prices of the previous interval.
15s Chart + 15m Automatic OTE:
5m Chart + 4H Automatic OTE:
This tool provides analysts the flexibility to input various Fibonacci Levels, with default settings aligned to FX4_LIVING's Trading Models. The integrated data table offers a distilled view of price action, enabling easy tracking where price is trading compared to the previous selected interval in percentage – where the High and the Low represent 0% and 100% interchangeably. This feature allows you to quickly know where price is, even if you decide to hide the Fibonacci Levels.
Key Features:
Versatility Across Assets: Auto OTE Pro+ is meticulously designed for futures, forex, and bond markets, offering a comprehensive solution for a wide range of financial instruments.
Timeframe Customization: Auto OTE Pro+ allows users to anchor timeframes, providing analysts with the flexibility to explore various ranges.
Adaptive Table Colors: witness the data table adapt its colors when price approaches OTE levels, aligning seamlessly with Fibonacci levels.
Other Features:
Customize Fibonacci and Key Level Line Style.
Personalize Fibonacci and Key Level Line Color.
Adjust Fibonacci and Key Level Line Width.
Tailor Table Size and Location.
Usage Guidance:
Add Auto OTE to your Tradingview chart.
Observe where and when Fibonacci Levels are traded. Leverage this invaluable information to shape your narrative, whether you choose to explore internal range liquidity or capitalize on post-purge reversals.
Customize your desired Timeframe and Fibonacci Levels according to your preferences.
These tools are available ONLY on the TradingView platform.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products.
Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of the Toodegrees Premium Suite subscription. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
Market SessionsDraws a vertical line at market opens and closes.
The colors can be changed and the opening times can be changed too.
Daye Quarterly Theory ~ DQT [Liquidity_Pro]Thanks
This indicator puts the time-based research of trader Daye on your chart. Daye studied the ICT killzones and macro times and presented his findings, as “Quarterly Theory” on YouTube. Thank you Daye for sharing!
This indicator is not the first, so S/O to @toodegrees, @a1tmaniac and @joshuuu for their own excellent Quarterly Theory indicators. Last but not least, huge thanks go to ICT for his trading innovation and generous free price action education and to @twingall for his insight, attention to detail and great teamwork coding this indicator.
Daye’s Quarterly Theory
First, the fundamental concept is that all units of time can be divided by four into quarters -- just as we look at the year’s corporate reporting cycle of Q1, Q2, Q3, and Q4.
Dividing the day by four, into six hour quarters and again into 90 minute quarters and again into 22.5 minute ‘Micro’ quarters we reach the smallest unit shown by this indicator. Apply it to your NQ1! or ES1! charts and you may see remarkable confluence with the ICT macro times!
Why would we want to do this? It helps us understand, visualize and predict ICT’s PO3 concept:
• A - Accumulation (required for a cycle to occur)
• M - Manipulation
• D - Distribution
• X - Reversal/Continuation
The bottom line - we want to sell after a manipulation (M) up, or buy after a manipulation down and Quarterly Theory plots times on your chart where this may occur. Every asset is different, so back-test and research it.
Note, this indicator always shows Q1 as the accumulation quarter (by color), but the order is not fixed and instead of AMDX may appear as XAMD, where Q1 is the Reversal/Continuation quarter. We may eventually offer an update to this indicator which would automatically transpose the quarter colors for you.
The Quarters
Yearly:
• Q1 - Jan, Feb, Mar
• Q2 - Apr, May, Jun
• Q3 - Jul, Aug, Sep
• Q4 - Oct, Nov, Dec
Monthly (starts with the first month’s Monday regardless of the date):
• Q1 - Week 1, first Monday of the month
• Q2 - Week 2, second Monday of the month
• Q3 - Week 3, third Monday of the month
• Q4 - Week 4, fourth Monday of the month
Weekly (Daye ignores Friday and Sunday’s price action):
• Q1 - Mon
• Q2 - Tue
• Q3 - Wed
• Q4 - Thu
Daily (times are all EST / New York):
• Q1 - 18:00 - 00:00 Asia
• Q2 - 00:00 - 06:00 London
• Q3 - 06:00 - 12:00 NY AM
• Q4 - 12:00 - 18:00 NY PM
90 Minute:
• Q1 - 18:00 - 19:30
• Q2 - 19:30 - 21:00
• Q3 - 21:00 - 22:30
• Q4 - 22:30 - 00:00
Micro (22.5 minute quarters, DQT only displays Micros on 7 minute TF or lower)
• Q1 - 18:00 - 18:22:30
• Q2 - 18:22:30 - 18:45
• Q3 - 18:45 - 19:07:30
• Q4 - 19:07:30 - 19:30
About the DQT Indicator
This indicator plots the quarterly time boxes in a panel which can be placed above or below your chart. It allows you to add labels with the opening time and dates and also place time of day markers which can be useful for anyone who wants to mark lunch, and of the trading day or perhaps a favorite ICT macro time. It also works on GOLD (CAPITALCOM), DXY (TVC), currencies and stocks in Regular Trading Hour (RTH) mode.
Note the way that the indicator displays quarters is affected by the time frame you are viewing and as a result you may notice imperfections. Also, the indicator is not tuned to work with every broker, so for example with DXY, you will see the TVC feed is displayed nicely but other feeds are not.
Settings
The DQT indicator offers a great deal of flexibility to customize the display of quarters aesthetically. But it’s designed to work out-of-the-box on both light and dark background charts. It's set up to only show 90 minute and micro quarters initially, but in the settings, you can turn on the daily, weekly, monthly, and yearly quarters. Remember you will only see the Micros on the 7 minute TF or lower.
Lastly, the DQT indicator works well with our DOB indicator allowing you to visualize the confluence of high timeframe PDAs or POIs with manipulation quarters.
If you find our indicators useful, please boost, comment and share -- it's very motivational for us to develop them further and publish new ones!
TotalCustomTotalCustom sums our custom altcoin list's market caps together.
Primarily used to compare to the following:
A. price of bitcoin
B. Total 1, Total 2, Total 3
Used in the following way:
When there is a large gap on fixed time frames (i.e. 3 month, 6 month, YTD) between this indicator and the main comparisons, it is generally considered a good time to buy.
Bull Bear Indicator (BBI)/Introduction
The Bull Bear Indicator (BBI) identifies bull market conditions and bear market conditions for equity investors so they can avoid missing a bull market or getting caught in a bear market.
/Signals
There are two signals:
1. Bull Market Alert - This indicates prices of stocks in the broader market are rising.
2. Bear market Alert - This indicates prices of stocks in the broader market are falling.
Both signals are indicated by a background colour and an upward/downward triangle. A green background and an upward green triangle below the bar signifies an environment of rising prices. A red background and a downward red triangle above the bar indicates an environment of falling prices.
Lack of a coloured background indicates a transition period from Bull to Bear or Bear to Bull conditions. The transitions may be rapid during periods of high volatility.
/Construction
The indicator is constructed using market breadth, price action and moving averages.
1.Market Breadth:
Definition: Market breadth refers to the number of stocks advancing versus the number declining in the stock market. It provides insight into the overall health and strength of a market move.
Use in Identifying Bull/Bear Markets:
Bull Market Indicators: In a bull market, market breadth is typically strong, with a large number of stocks advancing. This indicates widespread participation in the market rally, confirming the strength and sustainability of the upward trend.
Bear Market Indicators: Conversely, in a bear market, market breadth weakens, with more stocks declining than advancing. This suggests that the downward movement is broad-based across the market, reinforcing the bearish sentiment.
How the indicator does this: The number of stocks in a bullish/bearish trend is counted and normalised to a percentage to determine what percentage of stocks in the overall market are bullish/bearish.
2. Price Action:
Definition: Price action involves the study of historical price movements to predict future price direction. It includes analyzing patterns, trends, and the reactions of prices to certain levels (like support and resistance).
Use in Identifying Bull/Bear Markets:
Bull Market Indicators: In a bull market, price action typically shows higher highs and higher lows, indicating an ongoing upward trend. The reaction to support levels is often strong, with prices bouncing off these levels.
Bear Market Indicators: In a bear market, the price action is characterized by lower highs and lower lows. Prices tend to break through support levels and bounce off resistance levels, reflecting the dominant downward trend.
3. Trend Analysis:
Definition: Trend analysis involves identifying the direction and strength of market movements. This was done using moving averages.
Use in Identifying Bull/Bear Markets:
Bull Market Indicators: A bull market is often identified by upward-sloping trendlines and prices consistently staying above key moving averages.
Bear Market Indicators: In a bear market, the trendlines slope downwards, and prices remain below key moving averages.
How the indicator does this: The average closing prices of the largest capitalised stocks and their intermediate trend is assessed relative to their moving averages, the moving average combines price action and trend because it is simply the average closing price over time.
/Originality
This indicator is simple and effective in that it uses multiple factors to assess the market environment. Market breadth gives an overview of the participation level in the market trend, price action helps identify specific patterns and reactions to key levels indicating a bull or bear market, and trend analysis provides a macro view of the market direction and its strength. Combining these tools can gives a comprehensive picture of the market environment and help in distinguishing between bull and bear markets. The market environments are boldly marked out through background colours and triangle markers. The indicator performance is only valid from 2002 to date because the market breadth data used is not available before this date.
Why market Market breadth: Because it takes into account all the stocks in the market, this is essential in identifying the level of participation in a trend.
Why moving averages: Because it ensures that the price action and overall trend of the stocks can be monitored over a given lookback period
So together, moving average/price action + market breadth = trend + participation
Note:
The indicator has no predictive power, performance described here does not guarantee future results. Equity markets are particularly volatile and prone to cycles, and individual psychology can significantly affect indicator interpretation. Price data may also vary across exchanges.
/Settings
The parameters are fixed and there is no room for optimisation however, style settings can be modified by the user.
/Tickers
The BBI indicator is ticker agnostic but best viewed on a 1 day chart of the SPY.
Klinger Oscillator AdvancedThe Klinger Oscillator is not fully implemented in Tradeview. While the description at de.tradingview.com is complete, the implementation is limited to the pure current volume movement. This results in no difference compared to the On Balance Volume indicator.
However, Klinger's goal was to incorporate the trend as volume force in its strength and duration into the calculation. The expression ((V x x T x 100)) for volume force only makes sense as an absolute value, which should probably be expressed as ((V x abs(2 x ((dm/cm) - 1)) x T x 100)). Additionally, there is a need to handle the theoretical possibility of cm == 0.
Since, in general, significantly more trading volume occurs at the closing price than during the day, an additional parameter for weighting the closing price is implemented. In intraday charts, considering the closing price, in my opinion, does not make sense.
The TradeView implementation is displayed on the chart for comparison. Particularly in the analysis of divergence, significant deviations become apparent.
Seasonal Market Strategy (SMS)/Introduction
The Seasonal Market Strategy (SMS) is not a technical strategy, it is based on market seasonality and draws heavily from the work of Yale Hirsch, creator of the Stock Trader's Almanac.
/Signals
The strategy is long only. Four different seasonal signals are generated to ensure stock market history, cycles, psychology and patterns are turned into actionable trades. The signals are:
1. Sell in May and Go Away: A strategy suggesting investors sell stocks in May and avoid the market until November, based on historical underperformance during this period.
2. Turn of the Month: Trading tactic that capitalises on the tendency of stock prices to rise at the month's beginning.
3. Santa Claus Rally: Refers to the often-seen increase in stock prices around Christmas and the New Year.
4. Turn Around Tuesday: A pattern where stock markets rebound on Tuesdays following a decline on Mondays.
There is no logic or calculation, just dates for entry and exit. These seasonal patterns are explained in various places online for those who want to understand why they are profitable. Stock Trader's Almanac is a good resource to start with.
/Interpretation
SMS will display an upward blue arrow signifying a buy signal after the candle closes, when entry conditions are met. A label below the arrow will describe which signal was triggered and a number depicting the number of units (they can be deactivated in the style settings). SMS will also display a downwards pink arrow above the candle when the exit conditions are met.
/Strategy Results
The backtest results are based on a starting capital of $13,700 (convenient amount for retail traders) with 5% of equity for the position size and pyramiding of 4 consecutive positions because there are four signals. Because of the large amount of trades, this strategy is suitable with brokers that do not charge commissions, so commissions is set to zero while slippage of 3 ticks is used to ensure the results are representative of real world, market order, end-of-day trading. The backtest results are available to view at the bottom of this page.
NOTE:
Past results are not indicative of future results. The strategy is backtested in ideal conditions, it has no predictive abilities and seasonal trends may breakdown at anytime hence, results from live trading may not achieve the same performance shown here as each trader may introduce subjectivity or interfere with its performance or market conditions might change significantly.
/Tickers
This strategy has been backtested on the Dow Jones Industrial Average ETF with ticker DIA but it also performs well with the SPY ticker which is the ETF for the S&P500.
ICT Times [joshu]This TradingView indicator provides a comprehensive view of ICT killzones, Silver Bullet times, and ICT Macros, enhancing your trading experience.
In those time windows price either seeks liquidity or imbalances and you often find the most energetic price moves and turning points.
Features:
Automatic Adaptation: The ICT killzones intelligently adapt to the specific chart you are using. For Forex charts, it follows the ICT Forex times:
Asia: 2000-0000
London: 0200-0500
New York: 0700-1000
London Close: 1000-1200
For other charts, it uses the following session times:
Asia: 2000-0000
London: 0200-0500
New York AM: 0830-1100
New York PM: 1330-1600
Silver Bullet Times:
0300-0400
1000-1100
1400-1500
How to Use:
Simply apply the indicator to your chart, and the session boxes and Silver Bullet times will be plotted automatically.
Gann toolbox - Custom boxGann toolbox - Custom box
█ OVERVIEW
This script is designed to draw Gann boxes based on pivotal levels. It is made make it easy by being interactive where you do not have to input data manually but rather select your two points right after adding the script by clicking on the levels on the chart itself.
In addition, this script has some great features, such as the ability to select the number of divisions wanted up to three with a click from the menu and to adjust the end date based on the selected pivotal level. Not to mention that you can automatically add a follow-up box right after
The divisions included are the one division ( at 50% ), the two divisions ( at .333% and 666% ), and finally the three divisions ( at 25%, 50%, and 75% ).
You can also display the golden ration in Time and Price on your box when it's on the one division setting.
When choosing a different end point you're presented with 4 options for using your 2nd point as :
- 25% of the box
- 50% of the box
- 33 days total size box ( for lower time frame trading )
- 45 days total size box.
You can enable/disable multiple lines using the styling options.
█ Future Plans and upgrades to this script may include :
1. Box current volume.
2. Stat information box.
and more! feel free to let me know what you'd like to see!
█ How to use :
1. Put the script on your chart
2. You are going to be asked to select your first pivotal level, then your second pivotal level. Simply select them by clicking on the level on the chart.
give the script a few seconds and you should be set.
Blockunity Stablecoin Liquidity (BSL)Monitor the liquidity of the crypto market by tracking the capitalizations of the major Stablecoins.
Stablecoin Liquidity (BSL) is an ideal tool for visualizing data on major Stablecoins. The number of Stablecoins in circulation is one of the best indices of liquidity within the crypto market. It’s an important metric to keep an eye on, as an increase in the number of Stablecoins in circulation offers a great opportunity to see cryptoasset prices rise. The tool’s multiple on-board display modes enable analysis of its data in the best possible conditions.
The Idea
The goal is to provide the community with the ideal tool to visualize the liquidity of the crypto market, via the state of the market capitalizations of the major Stablecoins.
How to Use
The tool is very easy to use and interpret. First of all, let's distinguish two main elements:
The chart as 3 distinct display modes to let you observe data in the best possible conditions.
There is a panel that summarizes the market capitalizations of the main Stablecoins.
Display Mode: Cumulative
In Cumulative mode (default), the different capitalizations are displayed one on top of the other with colored bands.
You can see that when the number of Stablecoins in circulation increases, crypto asset prices enter an uptrend. And if the liquidity of Stablecoins dries up, the trend will become bearish.
Display Mode: Aggregated
Aggregated mode displays a single line, which is the sum of the different capitalizations, varying between green and red depending on the state of this data according to its moving average declared in the 'Aggregated MA Lengh' field.
You can thus easily see trend changes and therefore opportunities to enter or exit the crypto market.
Display Mode: Independent
The Independent mode also displays the different capitalizations, but detached from each other with labels.
This display mode is particularly interesting for studying transfers from one Stablecoin to another, as can be seen below.
Other Settings
You can choose whether or not to include each of the Stablecoins data, and configure their display color. Note that in 'Cumulative' display mode, the data is taken into account even if the box is unchecked.
How it Works
The tool works in a simple way: We take the market capitalization data of the Stablecoins that interest us, then we process them according to the different display modes.
Let us know if you would like other ways of visualizing this data!
TASC 2023.12 Growth and Value Switching System█ OVERVIEW
This script implements a rotation system for trading value and growth ETFs, as developed by Markos Katsanos and detailed in the article titled 'Growth Or Value?' in TASC's December 2023 edition of Traders' Tips . The purpose of this script is to demonstrate how short-term momentum can be employed to track market trends and provide clarity on when to switch between value and growth.
█ CONCEPTS
The central concept of the presented rotation strategy is based on the observation that the stock market undergoes cycles favoring either growth or value stocks. Consequently, the script introduces a momentum trading system that is designed to switch between value and growth equities based on prevailing market conditions. Specifically tailored for long-term index investors, the system focuses on trading Vanguard's value and growth ETFs ( VTV and VUG ) on a weekly timeframe.
To identify the ETF likely to outperform, the script uses a custom relative strength indicator applied to both VTV and VUG in comparison with an index ( SPY ). To minimize risk and drawdowns during bear markets, when both value and growth experience downtrends, the script employs the author's custom volume flow indicator (VFI) and blocks trades when its reading indicates money outflow . Positions are closed if the relative strength of the current open trade ETF falls below that of the other ETF for two consecutive weeks and is also below its moving average. Additionally, the script implements a stop-loss when the ETF is trading below its 40-week moving average, but only during bear markets.
The script plots the relative strengths of the value and growth equities along with the signals triggered by the aforementioned rules. Information about the current readings of the relative strength and volume flow indicators, along with the current open position, is displayed in a table.
█ CALCULATIONS
The script uses the request.security() function to gather price data for both equities and the reference index. Custom relative strength and volume flow indicators are calculated based on the formulas presented in the original article. By default, the script employs the same parameters for these indicators as proposed in the original article for VTV and VUG on a weekly timeframe.
Volume ForecastThe Volume Forecast indicator on TradingView is a comprehensive tool designed to analyze historical price action and project future market movements based on the average sizes of candles. Incorporating various data points such as candle high/low, open/close, and real volumes, Volume Forecast provides traders with a holistic view of market dynamics, allowing for more informed decision-making.
Key Features:
Multi-Data Source Analysis:
Volume Forecast seamlessly integrates multiple data sources, including candle high/low, open/close prices, and real volumes. By considering these diverse elements, the indicator offers a nuanced understanding of market conditions.
Historical Candle Size Analysis:
The indicator conducts a thorough analysis of historical candle sizes, capturing key data points to calculate the average candle size over a specified period. This historical context serves as the foundation for forecasting future candle sizes.
Customizable Forecasting Parameters:
Traders have the flexibility to fine-tune forecasting parameters to align with their trading strategies. Whether focusing on open/close relationships, high/low points, or real volumes, users can customize the indicator to suit their preferences.
Predictive Algorithm:
Volume Forecast employs a sophisticated predictive algorithm that leverages historical candle size data to project the potential size of upcoming candles. This algorithmic approach enhances the indicator's accuracy in forecasting market movements.
Visual Clarity:
The indicator provides a clear visual representation on the TradingView chart, displaying historical candle sizes and forecasted values. Color-coded elements and visual cues help traders quickly interpret the data, facilitating timely decision-making.
Adaptive Real-Time Updates:
Volume Forecast dynamically updates in real-time, ensuring traders have access to the latest information. This adaptability allows for swift adjustments to trading strategies in response to changing market conditions.
Comprehensive Market Compatibility:
Whether trading stocks, forex, cryptocurrencies, or commodities, Volume Forecast is compatible across various financial instruments and timeframes. This versatility makes it a valuable asset for traders in different markets.
User-Friendly Interface:
With an intuitive interface, Volume Forecast is accessible to traders of all experience levels. The indicator's user-friendly design streamlines the analysis process, making it easier for traders to incorporate it into their trading routines.
In summary, Volume Forecast is a robust TradingView indicator that combines historical candle size analysis with advanced forecasting techniques. By incorporating multiple data sources and offering customization options, it empowers traders to make more informed decisions in anticipation of market movements. Whether used independently or in conjunction with other tools, Volume Forecast is a valuable asset for traders seeking a comprehensive understanding of market dynamics.
PA HelperProvides a holistic view of key support and resistance levels across multiple timeframes. This versatile indicator allows traders to customize and configure timeframes, empowering them to make more informed decisions based on dynamic market conditions.
Configurable Timeframes:
Tailor your analysis to specific market scenarios by configuring the timeframes that matter most to your trading strategy. Whether focusing on short-term intraday movements or longer-term trends, this indicator adapts to your preferred time intervals.
Dynamic Support and Resistance Lines:
The indicator dynamically calculates and displays support and resistance lines based on the selected timeframes. This ensures that the analysis is responsive to changing market dynamics, providing a more accurate representation of potential reversal zones.
Color-Coded Lines:
Easily identify and differentiate between support and resistance lines with color-coded markings. This visual representation simplifies the interpretation of key price levels, enabling traders to make quicker and more confident trading decisions.
Aggregated Overview:
Gain a comprehensive understanding of support and resistance levels by viewing an aggregated overview of lines from different timeframes. This feature helps traders identify confluence zones, where multiple timeframes converge to strengthen a particular support or resistance level.
User-Friendly Interface:
The indicator boasts a user-friendly interface, making it accessible for traders of all experience levels. Effortlessly navigate through timeframes and settings, and quickly interpret the analysis for more effective decision-making.
The Multi-Timeframe Support and Resistance Lines indicator is a valuable asset for traders seeking a comprehensive and customizable tool to enhance their technical analysis. Whether employed for day trading, swing trading, or trend analysis, this indicator offers the flexibility and precision needed to navigate the complexities of the financial markets successfully.
[KenStrat] - Catching trend for the PipsDescription:
The " - Catching trend for the Pips" indicator is designed to help traders identify potential trend reversal points and capture significant price movements, with a focus on both daily and weekly perspectives.
**Friday Close Analysis:**
This component of the indicator concentrates on the Friday close of each week. The script displays visual elements on the daily chart exclusively. Specifically, it marks key price levels, providing insights into the closing position relative to the week's range. The indicator categorizes the closing price into three zones: above 66%, between 33% and 66%, and below 33%. This distinction aids traders in assessing the strength and directionality of the market at the end of the week. The displayed label offers a concise summary of the Friday's closing behavior, aiding in quick trend analysis.
**Weekly Trend Verification:**
The second part of the indicator focuses on verifying the weekly trend. By identifying the highest highs and lowest lows of the past two weeks, the script determines whether the current price action exhibits a bullish or bearish trend. The visualization on the chart helps traders assess the broader trend direction and make informed decisions based on the prevailing market sentiment. The label dynamically updates to indicate whether the overall trend is bullish, bearish, or neutral.
**Key Features:**
- Differentiates between Friday closing price zones for trend assessment.
- Weekly trend verification based on highest highs and lowest lows.
- Visual representation of trend conditions on the chart.
- Dynamic labels for quick interpretation of trend strength and direction.
- Exclusively designed for daily and weekly timeframes.
The " - Catching trend for the Pips" indicator provides a comprehensive tool for traders seeking to capture and analyze trend movements efficiently, allowing for informed decision-making in the dynamic Forex market.
Multi-TrendMulti-Trend is an indicator that simplifies the task of tracking market trends across up to 10 custom timeframes. With the flexibility to select your preferred timeframes, with current or any specific data in past, this indicator offers a clear visual representation of the market's direction.
For each chosen timeframe and history, Multi-Trend provides a straightforward arrow-based signal system: an upward arrow signifies a rising market, a downward arrow indicates a falling market, and a right arrow denotes a market at equilibrium. These default symbols can be effortlessly personalized to your choice of symbols or text, allowing you to tailor the indicator to your specific needs.
The trend direction is calculated using a reliable methodology based on the percentage change in the close price for the selected timeframe.
Martingale + Grid DCA Strategy [YinYangAlgorithms]This Strategy focuses on strategically Martingaling when the price has dropped X% from your current Dollar Cost Average (DCA). When it does Martingale, it will create a Purchase Grid around this location to likewise attempt to get you a better DCA. Likewise following the Martingale strategy, it will sell when your Profit has hit your target of X%.
Martingale may be an effective way to lower your DCA. This is due to the fact that if your initial purchase; or in our case, initial Grid, all went through and the price kept going down afterwards, that you may purchase more to help lower your DCA even more. By doing so, you may bring your DCA down and effectively may make it easier and quicker to reach your target profit %.
Grid trading may be an effective way of reducing risk and lowering your DCA as you are spreading your purchases out over multiple different locations. Likewise we offer the ability to ‘Stack Grids’. What this means, is that if a single bar was to go through 20 grids, the purchase amount would be 20x what each grid is valued at. This may help get you a lower DCA as rather than creating 20 purchase orders at each grid location, we create a single purchase order at the lowest grid location, but for 20x the amount.
By combining both Martingale and Grid DCA techniques we attempt to lower your DCA strategically until you have reached your target profit %.
Before we start, we just want to make it known that first off, this Strategy features 8% Commission Fees, you may change this in the Settings to better reflect the Commission Fees of your exchange. On a similar note, due to Commission Fees being one of the number one profit killers in fast swing trade strategies, this strategy doesn’t focus on low trades, but the ideology of it may result in low amounts of trades. Please keep in mind this is not a bad thing. Since it has the ability to ‘Stack Grid Purchases’ it may purchase more for less and result in more profit, less commission fees, and likewise less # of trades.
Tutorial:
In this example above, we have it set so we Martingale twice, and we use 100 grids between the upper and lower level of each martingale; for a total of 200 Grids. This strategy will take total capital (initial capital + net profit) and divide it by the amount of grids. This will result in the $ amount purchased per grid. For instance, say you started with $10,000 and you’ve made $2000 from this Strategy so far, your total capital is $12,000. If you likewise are implementing 200 grids within your Strategy, this will result in $12,000 / 200 = $60 per grid. However, please note, that the further down the grid / martingale is, the more volume it is able to purchase for $60.
The white line within the Strategy represents your DCA. As the Strategy makes purchases, this will continue to get lower as will your Target Profit price (Blue Line). When the Close goes above your Target Profit price, the Strategy will close all open positions and claim the profit. This profit is then reinvested back into the Strategy, which may exponentially help the Strategy become more profitable the longer it runs for.
In the example above, we’ve zoomed in on the first example. In this we want to focus on how the Strategy got back into the trades shortly after it sold. Currently within the Settings we have it set so our entry is when the Lowest with a length of 3 is less than the previous Lowest with a length of 3. This is 100% customizable and there are multiple different entry options you can choose from and customize such as:
EMA 7 Crossover EMA 21
EMA 7 Crossunder EMA 21
RSI 14 Crossover RSI MA 14
RSI 14 Crossunder RSI MA 14
MFI 14 Crossover MFI MA 14
MFI 14 Crossunder MFI MA 14
Lowest of X Length < Previous Lowest of X Length
Highest of X Length > Previous Highest of X Length
All of these entry options may be tailored to be checked for on a different Time Frame than the one you are currently using the Strategy on. For instance, you may be running the Strategy on the 15 minute Time Frame yet decide you want the RSI to cross over the RSI MA on the 1 Day to be a valid entry location.
Please keep in mind, this Strategy focuses on DCA, this means you may not want the initial purchase to be the best location. You may want to buy when others think it is a good time to sell. This is because there may be strong bearish momentum which drives the price down drastically and potentially getting you a good DCA before it corrects back up.
We will continue to add more Entry options as time goes on, and if you have any in mind please don’t hesitate to let us know.
Now, back to the example above, if we refer to the Yellow circle, you may see that the Lowest of a length of 3 was less than its previous lowest, this triggered the martingales to create their grids. Only a few bars later, the price went into the first grid and went a little lower than its midpoint (Yellow line). This caused about 60% of the first grid to be purchased. Shortly after the price went even lower into this grid and caused the entire first martingale grid to be purchased. However, if you notice, the white line (your DCA) is lower than the midpoint of the first grid. This is due to the fact that we have ‘Stack Grid Purchases’ enabled. This allows the Strategy to purchase more when a single bar crosses through multiple grid locations; and effectively may lower your average more than if it simply executed a purchase order at each grid.
Still looking at the same location within our next example, if we simply increase the Martingale amount from 2 to 3 we can see something strange happens. What happened is our Target Profit price was reached, then our entry condition was met, which caused all of the martingale grids to be formed; however, the price continued to increase afterwards. This may not be a good thing, sure the price could correct back down to these grid locations, but what if it didn’t and it just kept increasing? This would result in this Strategy being stuck and unable to make any trades. For this reason we have implemented a Failsafe in the Settings called ‘Reset Grids if no purchase happens after X bars’.
We have enabled our Failsafe ‘Reset Grids if no purchase happens after X bars’ in this example above. By default it is set to 100 bars, but you can change this to whatever works best for you. If you set it to 0, this Failsafe will be disabled and act like the example prior where it is possible to be stuck with no trades executing.
This Failsafe may be an important way to ensure the Strategy is able to make purchases, however it may also mean the Grids increase in price when it is used, and if a massive correction were to occur afterwards, you may lose out on potential profit.
This Strategy was designed with WebHooks in mind. WebHooks allow you to send signals from the Strategy to your exchange. Simply set up a Custom TradingView Bot within the OKX exchange or 3Commas platform (which has your exchange API), enter the data required from the bot into the settings here, select your bot type in ‘Webhook Alert Type’, and then set up the alert. After that you’re good to go and this Strategy will fully automate all of its trades within your exchange for you. You need to format the Alert a certain way for it to work, which we will go over in the next example.
Add an alert for this Strategy and simply modify the alert message so all it says is:
{{strategy.order.alert_message}}
Likewise change from the Alert ‘Settings’ to Alert ‘Notifications’ at the top of the alert popup. Within the Notifications we will enable ‘Webhook URL’ and then we will pass the URL we are sending the Webhook to. In this example we’ve put OKX exchange Webhook URL, however if you are using 3Commas you’ll need to change this to theirs.
OKX Webhook URL:
www.okx.com
3Commas Webhook URL:
app.3commas.io
Make sure you click ‘Create’ to actually create this alert. After that you’re all set! There are many Tutorials videos you can watch if you are still a little confused as to how Webhook trading works.
Due to the nature of this Strategy and how it is designed to work, it has the ability to never sell unless there it will make profit. However, because of this it also may be stuck waiting in trades for quite a long period of time (usually a few months); especially when your Target Profit % is 15% like in the example above. However, this example above may be a good indication that it may maintain profitability for a long period of time; considering this ‘Deep Backtest’ is from 2017-8-17.
We will conclude the tutorial here. Hopefully you understand how this Strategy has the potential to make calculated and strategic DCA Grid purchases for you and then based on a traditional Martingale fashion, bulk sell at the desired Target Profit Percent.
Settings:
Purchase Settings:
Only Purchase if its lower than DCA: Generally speaking, we want to lower our Average, and therefore it makes sense to only buy when the close is lower than our current DCA and a Purchase Condition is met.
Purchase Condition: When creating the initial buy location you must remember, you want to Buy when others are Fearful and Sell when others are Greedy. Therefore, many of the Buy conditions involve times many would likewise Sell. This is one of the bonuses to using a Strategy like this as it will attempt to get you a good entry location at times people are selling.
Lower / Upper Change Length: This Lower / Upper Length is only used if the Purchase Condition is set to 'Lower Changed' or 'Upper Changed'. This is when the Lowest or Highest of this length changes. Lowest would become lower or Highest would become higher.
Purchase Resolution: Purchase Resolution is the Time Frame that the Purchase Condition is calculated on. For instance, you may only want to start a new Purchase Order when the RSI Crosses RSI MA on the 1 Day, but yet you run this Strategy on the 15 minutes.
Sell Settings:
Trailing Take Profit: Trailing Take Profit is where once your Target Profit Percent has been hit, this will trail up to attempt to claim even more profit.
Target Profit Percent: What is your Target Profit Percent? The Strategy will close all positions when the close price is greater than your DCA * this Target Profit Percent.
Grid Settings:
Stack Grid Purchases: If a close goes through multiple Buy Grids in one bar, should we amplify its purchase amount based on how many grids it went through?
Reset Grids if no purchase happens after X Bars: Set this to 0 if you never want to reset. This is very useful in case the price is very bullish and continues to increase after our Target Profit location is hit. What may happen is, Target Profit location is hit, then the Entry condition is met but the price just keeps increasing afterwards. We may not want to be sitting waiting for the price to drop, which may never happen. This is more of a failsafe if anything. You may set it very large, like 500+ if you only want to use it in extreme situations.
Grid % Less than Initial Purchase Price: How big should our Buy Grid be? For instance if we bought at 0.25 and this value is set to 20%, that means our Buy Grid spans from 0.2 - 0.25.
Grid Amounts: How many Grids should we create within our Buy location?
Martingale Settings:
Amount of Times 'Planned' to Martingale: The more Grids + the More Martingales = the less $ spent per grid, however the less risk. Remember it may be better to be right and take your time than risk too much and be stuck too long.
Martingale Percent: When the current price is this percent less than our DCA, lets create another Buy Grid so we can lower our average more. This will make our profit location less.
Webhook Alerts:
Webhook Alert Type: How should we format this Alert? 3Commas and OKX take their alerts differently, so please select the proper one or your webhooks won't work.
3Commas Webhook Alerts:
3Commas Bot ID: The 3Commas Bot ID is needed so we know which BOT ID we are sending this webhook too.
3Commas Email Token: The 3Commas Email Token is needed for your webhooks to work properly as it is linked to your account.
OKX Webhook Alerts:
OKX Signal Token: This Signal Token is attached to your OKX bot and will be used to access it within OKX.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
YOY Change (Log Scale)ear-Over-Year Change Indicator (Log Scale) calculates the percentage change of a security's price over the past year, on a logarithmic scale. It is a momentum indicator that can be used to identify trends and potential reversals.
A positive value on the indicator indicates that the security's price has increased over the past year, while a negative value indicates that the price has decreased. A larger positive or negative value indicates a stronger trend.
The indicator can be used to identify overbought and oversold conditions. When the indicator is significantly above or below zero, it may be a sign that the security is overbought or oversold and a reversal may be imminent.
Week designationThe script is primarily used for visualizing the beginning and end of the week. It is particularly helpful when working with time intervals shorter than one day. In a very simple and clear manner, you can see when a specific week has started. This makes it easier to assess the market sentiment in a short timeframe.
Here are the operating principles of this script:
Initialization:
The script begins with initialization, where basic parameters and settings such as line colors and line style are defined.
Determining the Session Start:
The startSession(hour, minute) function is used to calculate the starting time of a session on the chart. Sessions can be divided into different time intervals, such as the daily session (D), weekly session (W), and monthly session (M).
Checking for Session Start:
The script checks if a new session is starting. If so, a vertical line is inserted on the chart to mark the beginning of that session.
isSessionStart checks for the start of the daily session.
isSessionStart_2 checks for the start of the weekly session.
isSessionStart_3 checks for the start of the monthly session.
Marking Mondays:
The script checks if the current day is Monday (the day of the week number 2 represents Monday).
If the current session is starting or it is Monday, a vertical line is inserted on the chart with the day designation (color color_day).
Marking Lines on the Chart:
The lines inserted on the chart are vertical and have a specified style and color, which can be customized in the settings.
Ultimate Seasonality Indicator [SS]Hello everyone,
This is my seasonality indicator. I have been working on it for like 2 months, so hope you like it!
What it does?
The Ultimate Seasonality indicator is designed to provide you, the trader, an in-depth look at seasonality. The indicator gives you the ability to do the following functions:
View the most bearish and bullish months over a user defined amount of years back.
View the average daily change for each respective months over a user defined amount of years back.
See the most closely correlated month to the current month to give potential insights of likely trend.
Plot out areas of High and Low Seasonality.
Create a manual seasonal forecast model by selecting the desired month you would like to model the current month data after.
Have the indicator develop an autoregressive seasonal model based on seasonally lagged variables, using principles of machine learning.
I will go over these functions 1 by 1, its a whopper of an indicator so I will try to be as clear and concise as possible.
Viewing Bullish vs Bearish Months, Average Daily Change & Correlation to Current Month
The indicator will break down the average change, as well as the number of bullish and bearish days by month. See the image below as an example:
In the table to the right, you will see a breakdown of each month over the past 3 years.
In the first column, you will see the average daily change. A negative value, means it was a particularly bearish month, a positive value means it was a particularly bullish month.
The next column over shows the correlation to the current dataset. How this works is the indicator takes the size of the monthly data for each month, and compares it to the last X number of days up until the last trading day. It will then perform a correlation assessment to see how closely similar the past X number of trading days are to the various monthly data.
The last 2 columns break down the number of Bullish and Bearish days, so you can see how many red vs green candles happened in each respective month over your set timeframe. In the example above, it is over the pats 3 years.
Plot areas of High and Low Seasonality
In the chart above, you will see red and green highlighted zones.
Red represents areas of HIGH Seasonality .
Green represents areas of LOW Seasonality .
For this function, seasonality is measured by the autocorrelation function at various lags (12 lags). When there is an average autocorrelation of greater than 0.85 across all seasonal lags, it is considered likely the result of high seasonality/trend.
If the lag is less than or equal to 0.05, it is indicative of very low seasonality, as there is no predominate trend that can be found by the autocorrelation functions over the seasonally lagged variables.
Create Manual Seasonal Forecasts
If you find a month that has a particularly high correlation to the current month, you can have the indicator create a seasonal model from this month, and fit it onto the current dataset (past X days of trading).
If we look at the example below:
We can see that the most similar month to the current data is September. So, we can ask the indicator to create a seasonal forecast model from only September data and fit it to our current month. This is the result:
You will see, using September data, our most likely close price for this month is 450 and our model is y= 1.4305x + -171.67.
We can accept the 450 value but we can use the equation to model the data ourselves manually.
For example, say we have a target price on the month of 455 based on our own analysis. We can calculate the likely close price, should this target be reached, by substituting this target for x. So y = 1.4305x + -171.67 becomes
y = 1.4305(455) +- 171.67
y = 479.20
So the likely close price would be 479.20. No likely, and thus its not likely we are to see 455.
HOWEVER, in this current example, the model is far too statistically insignificant to be used. We can see the correlation is only 0.21 and the R squared is 0.04. Not a model you would want to use!
You want to see a correlation of at least 0.5 or higher and an R2 of 0.5 or higher.
We can improve the accuracy by reducing the number of years we look back. This is what happens when we reduce the lookback years to 1:
You can see reducing to 1 year gives December as the most similar month. However, our R2 value is still far too low to really rely on this data whole-heartedly. But it is a good reference point.
Automatic Autoregressive Model
So this is my first attempt at using some machine learning principles to guide statistical analysis.
In the main chart above, you will see the indicator making an autoregressive model of seasonally lagged variables. It does this in steps. The steps include:
1) Differencing the data over 12, seasonally lagged variables.
2) Determining stationarity using DF test.
3) Determining the highest, autocorrelated lags that fall within a significant stationary result.
4) Creating a quadratic model of the two identified lags that best represents a stationary model with a high autocorrelation.
What are seasonally lagged variables?
Seasonally lagged variables are variables that represent trading months. So a lag of 25 would be 1 month, 50, 2 months, 75, 3 months, etc.
When it displays this model, it will show us what the results of the t-statistic are for the DF test, whether the data is stationary, and the result of the autocorrelation assessment.
It will then display the model detail in the tip table, which includes the equation, the current lags being used, the R2 and the correlation value.
Concluding Remarks
That's the indicator in a nutshell!
Hope you like it!
One final thing, you MUST have your chart set to daily, otherwise you will get a runtime error. This can ONLY be used on the daily timeframe!
Feel free to leave your questions, comments and suggestions below.
Note:
My "ultimate" indicators are made to give the functionality of multiple indicators in one. If you like this one, you may like some of my others:
Ultimate P&L Indicator
Ultimate Customizable EMA/SMA
Thanks for checking out the indicator!
The Ultimate Buy and Sell IndicatorThis indicator should be used in conjunction with a solid risk management strategy that does not over-leverage positions and uses stop-losses. You can not rely 100% on the signals provided by this indicator (or any other for that matter).
With that said, this indicator can provide some excellent signals.
It has been designed with a large number of customization options intended for advanced traders, but you do not HAVE to be an advanced user to simply use the indicator. I have tried to make it easy to understand, and this section will provide you with a better understanding of how to use it.
NOTE:
While NOT REQUIRED, I would recommend also finding my indicator called, "Ultimate RSI", which is designed to work together with this indicator (visually). They both contain the same settings and allow you to visualize changes made in this indicator that can not be displayed on the main chart.
This indicator creates it's own candles(bars), so you have to go into your main settings and turn off the "body, border and wick" color settings. Using a dark background is also recommended.
How does it work?
The indicator mainly relies on the RSI indicator with Bollinger Bands for signals. (Though not entirely)
First, there are something that I call "Watch Signals", which are various Bollinger Band crossing events. This could be the price crossing Bollinger Bands or the RSI crossing Bollinger Bands.
There are separate watch signals for buys and sells. Buy watch signals are colored orange to match the BUY signal candle color and Fuchsia (kind of a bright purple) to match SELL signal candles.
In order for most buy or sell signals to be created, there must first be a watch signal. There is a lookback period (or length) for watch signals to be used, and after that many candles (bars) have passed, they will be ignored. You can set a length to look back as well as a time to wait before creating any.
What this means is that if there has previously been (for instance) a sell signal. You can tell it to wait 10 bars before creating any buy watch signals. You can then also tell it that it should look back 10 bars from the current one in order to find any buy watch signals. This means that if you had it set up that way 10 to wait and 10 to validate, it would start allowing buy watch signals 11 bars after a sell, and then once you hit 20 bars, it will start leaving a gap (invisible to you) as the 10 bar lookback period starts moving forward with each new bar. This is useful in order to keep signals more spaced apart as some bad signals come quickly after another one.
Example: You may get a sell signal where the Bollinger bands are tight, then the price easily drops down into the lower band creating a buy watch signal, then you get a "fake" or short pump up and it says buy, but then drops dramatically afterwards. The wait period can ensure that the sell stays in effect longer before a buy is considered by blocking any buy watch signals for a period of time.
After you get a watch signal, the system then looks for various other things to happen to create buy or sell signals. This could be the RSI crossing the (slow) RSI Basis line (from its Bollinger bands), it could be the price crossing its basis line, it could be MACD crosses, it could even be RSI crossing certain levels. All of these are options. If you like the MACD strategy and want it to give you buy and sell signals from just MACD crosses, simply select that option for signals.
It is also able to use the first of any of the options that takes place.
I included an option to force alternating buy and sell signals, rather than showing groups of, or subsequent buy, buy, buy signals, for instance.
Moving on....
You can change the moving average that is used to calculate the RSI. The standard moving average for RSI is the RMA (aka SWMA). Changes to this can dramatically change your signals. You also have the option to change the moving average type used in the Bollinger bands calculation. You can change the length of these as well. The same goes for the Bollinger bands over the Price chart. I added an ATR option for the RSI Bollinger bands to play with, as well. You are able to adjust the standard deviation (multiplier) of the bands as well, which will of course affect the signals.
The ways you can play with signals are nearly infinite, so have fun figuring it out.
The indicator allows for moving averages to be shown as well, with a variety of types to choose from. The standard numbers are 5, 10, 20, 50, 100 and 200, with the addition of a custom moving average of your choice. You can also change the color of this one. You can choose to show them all or any of them you want to show, in any combination, although the TYPE of moving average (SMA, EMA, WMA, etc.) will apply to all of them.
You may also notice the Bollinger Bands over the Price are colored, and become more or less transparent.
The color is derived from the trend of the RSI or the RSI basis (your choice). It looks back at the value however many bars you want and compares the values and that's how it determines if it is trending up or down. Since RSI is a directional momentum indicator, this can be quite useful. If you see the bands are getting darker, this will explain why.
The indicator has a lookback period for determining the widest the bands (which measure volatility) have been over that period of time. This is the baseline. It then will make the bands disappear (by making them more transparent) if the volatility is low. This indicates that a change in volatility is coming and that price isn't really changing much compared to the past (default 500) bars. If they become bright, this is because price has started trending in a direction and volatility is increasing.
I should also note that the candles are colored based on RSI levels.
If you use the Ultimate Companion indicator, you will be able to see the RSI levels (zones) that the colors are based on. As RSI moves into a new range, the candle color will change.
I have created a yellow zone where the candles turn yellow. This is when RSI is between (default) 45 and 55, indicating there is basically no momentum and price is going sideways. This is a good place to get trapped in bad trades, and there is a Yellow RSI Filter to block signals in this area to keep you from entering bad trades.
Green candles indicate values over 55 (getting brighter as RSI rises) and red candles are RSI values under 45 (getting brighter as RSI values get lower). If you see white, this means RSI is either over 80 or under 20. A sharp reversal is almost always imminent at this stage.
When we talk about Buy and Sell Signals, they draw a green or red triangle and it literally says BUY or SELL. There is an option to color the background for added visibility. These signals do not "repaint", what this means is that they can be late. To account for this, I have included a background color that will flash as a warning that a buy or sell could be imminent, although it may fail to break through and set a buy or sell signal. This is simply an advanced warning. The reason is that sometimes a candle may be very large and you won't be told to buy or sell during the candle until the move is completely over and now you're getting in on the next one. That's not a great feeling, so I made it repaint the background color and not repaint the completed signal. You get the best of both worlds.
This indicator also uses complex logic to handle things.
When there is a buy signal, it enters into a state of having been bought, or a "bought state". The same for sells. If Force alternating signals is off, you could have more than one buy in a bought state, or more than one sell in a sell state. There is an option to color the background green during the full duration of a bought state, or red during the full duration of a sold state.
I have added divergence.
This shows that the lows or highs of RSI and PRICE are different. If RSI is making higher highs but the price is not, then the price is likely to follow this bullish divergence, if the opposite happens, it's bearish. It will draw a line on the chart connecting the highs and lows and call it bearish or bullish. You can adjust this as well.
I have an RSI High/Low filter. If the RSI basis (or average) is very high or low, you can block signal from this area since the price is likely to continue in that direction before actually reversing.
You can change the settings of the MACD if you choose to use it for signals, and if you want to see it, you'll have to run that indicator below the chart and match the settings to see what is going on, just like the RSI.
Going back to Watch Signals. You can also choose to require more than one watch signal if you choose. You can skip watch signals, so it will ignore the first or second one, whatever you want to do. You can color the background to show you where watch signals have been skipped.
Regarding the wait period for creating watch signals after a sell or after a buy, you can also color the background to see where these were blocked by the wait period.
Lastly you can choose which type of watch signals to use, or keep them from being shown on the chart. This allows you to study the history of how the asset you are trading behaves and customize the behavior of signals based on your study of it.
Everything in the settings area has tooltips, which will explain what that thing does to help you along this journey.
I hope this indicator (and perhaps Ultimate RSI alongside this) will help you take your trading to the next level.
