CME Trading Hours HighlightDisplay the times when the CME is or isn't trading, on a non-CME symbol.
The Chicago Mercantile Exchange hours are usually from 17:00 one day to 16:00 the next, with an hour's break. Trading halts from Friday evening to Sunday evening. The exchange is in Chicago.
You might want to display these hours if you trade the same asset on a different exchange. For example, you might want to overlay the CME BTC1! hours on a Coinbase BTC chart to see how trading in these futures contracts affects the market.
Inputs:
Shade Outside Trading Hours - If selected (the default), then the chart background is shaded when the CME is closed. If unselected, the background is shaded when it's open.
Highlight Color - The colour to use for the background shade.
Just for fun, I wanted to publish a useful script that only took up one line 😁
Cari dalam skrip untuk "Futures"
Ichimoku Theories [LuxAlgo]The Ichimoku Theories indicator is the most complete Ichimoku tool you will ever need. Four tools combined into one to harness all the power of Ichimoku Kinkō Hyō.
This tool features the following concepts based on the work of Goichi Hosoda:
Ichimoku Kinkō Hyō: Original Ichimoku indicator with its five main lines and kumo.
Time Theory: automatic time cycle identification and forecasting to understand market timing.
Wave Theory: automatic wave identification to understand market structure.
Price Theory: automatic identification of developing N waves and possible price targets to understand future price behavior.
🔶 ICHIMOKU KINKŌ HYŌ
Ichimoku with lines only, Kumo only and both together
Let us start with the basics: the Ichimoku original indicator is a tool to understand the market, not to predict it, it is a trend-following tool, so it is best used in trending markets.
Ichimoku tells us what is happening in the market and what may happen next, the aim of the tool is to provide market understanding, not trading signals.
The tool is based on calculating the mid-point between the high and low of three pre-defined ranges as the equilibrium price for short (9 periods), medium (26 periods), and long (52 periods) time horizons:
Tenkan sen: middle point of the range of the last 9 candles
Kinjun sen: middle point of the range of the last 26 candles
Senkou span A: middle point between Tankan Sen and Kijun Sen, plotted 26 candles into the future
Senkou span B: midpoint of the range of the last 52 candles, plotted 26 candles into the future
Chikou span: closing price plotted 26 candles into the past
Kumo: area between Senkou pans A and B (kumo means cloud in Japanese)
The most basic use of the tool is to use the Kumo as an area of possible support or resistance.
🔶 TIME THEORY
Current cycles and forecast
Time theory is a critical concept used to identify historical and current market cycles, and use these to forecast the next ones. This concept is based on the Kihon Suchi (translating to "Basic Numbers" in Japanese), these are 9 and 26, and from their combinations we obtain the following sequence:
9, 17, 26, 33, 42, 51, 65, 76, 129, 172, 200, 257
The main idea is that the market moves in cycles with periods set by the Kihon Suchi sequence.
When the cycle has the same exact periods, we obtain the Taito Suchi (translating to "Same Number" in Japanese).
This tool allows traders to identify historical and current market cycles and forecast the next one.
🔹 Time Cycle Identification
Presentation of 4 different modes: SWINGS, HIGHS, KINJUN, and WAVES .
The tool draws a horizontal line at the bottom of the chart showing the cycles detected and their size.
The following settings are used:
Time Cycle Mode: up to 7 different modes
Wave Cycle: Which wave to use when WAVE mode is selected, only active waves in the Wave Theory settings will be used.
Show Time Cycles: keep a cleaner chart by disabling cycles visualisation
Show last X time cycles: how many cycles to display
🔹 Time Cycle Forecast
Showcasing the two forecasting patterns: Kihon Suchi and Taito Suchi
The tool plots horizontal lines, a solid anchor line, and several dotted forecast lines.
The following settings are used:
Show time cycle forecast: to keep things clean
Forecast Pattern: comes in two flavors
Kihon Suchi plots a line from the anchor at each number in the Kihon Suchi sequence.
Taito Suchi plot lines from the anchor with the same size detected in the anchored cycle
Anchor forecast on last X time cycle: traders can place the anchor in any detected cycle
🔶 WAVE THEORY
All waves activated with overlapping
The main idea behind this theory is that markets move like waves in the sea, back and forth (making swing lows and highs). Understanding the current market structure is key to having realistic expectations of what the market may do next. The waves are divided into Simple and Complex.
The following settings are used:
Basic Waves: allows traders to activate waves I, V and N
Complex Waves: allows traders to activate waves P, Y and W
Overlapping waves: to avoid missing out on any of the waves activated
Show last X waves: how many waves will be displayed
🔹 Basic Waves
The three basic waves
The basic waves from which all waves are made are I, V, and N
I wave: one leg moves
V wave: two legs move, one against the other
N wave: Three legs move, push, pull back, and another push
🔹 Complex Waves
Three complex waves
There are other waves like
P wave: contracting market
Y wave: expanding market
W wave: double top or double bottom
🔶 PRICE THEORY
All targets for the current N wave with their calculations
This theory is based on identifying developing N waves and predicting potential price targets based on that developing wave.
The tool displays 4 basic targets (V, E, N, and NT) and 3 extended targets (2E and 3E) according to the calculations shown in the chart above. Traders can enable or disable each target in the settings panel.
🔶 USING EVERYTHING TOGETHER
Please DON'T do this. This is not how you use it
Now the real example:
Daily chart of Nasdaq 100 futures (NQ1!) with our Ichimoku analysis
Time, waves, and price theories go together as one:
First, we identify the current time cycles and wave structure.
Then we forecast the next cycle and possible key price levels.
We identify a Taito Suchi with both legs of exactly 41 candles on each I wave, both together forming a V wave, the last two I waves are part of a developing N wave, and the time cycle of the first one is 191 candles. We forecast this cycle into the future and get 22nd April as a key date, so in 6 trading days (as of this writing) the market would have completed another Taito Suchi pattern if a new wave and time cycle starts. As we have a developing N wave we can see the potential price targets, the price is actually between the NT and V targets. We have a bullish Kumo and the price is touching it, if this Kumo provides enough support for the price to go further, the market could reach N or E targets.
So we have identified the cycle and wave, our expectations are that the current cycle is another Taito Suchi and the current wave is an N wave, the first I wave went for 191 candles, and we expect the second and third I waves together to amount to 191 candles, so in theory the N wave would complete in the next 6 trading days making a swing high. If this is indeed the case, the price could reach the V target (it is almost there) or even the N target if the bulls have the necessary strength.
We do not predict the future, we can only aim to understand the current market conditions and have future expectations of when (time), how (wave), and where (price) the market will make the next turning point where one side of the market overcomes the other (bulls vs bears).
To generate this chart, we change the following settings from the default ones:
Swing length: 64
Show lines: disabled
Forecast pattern: TAITO SUCHI
Anchor forecast: 2
Show last time cycles: 5
I WAVE: enabled
N WAVE: disabled
Show last waves: 5
🔶 SETTINGS
Show Swing Highs & Lows: Enable/Disable points on swing highs and swing lows.
Swing Length: Number of candles to confirm a swing high or swing low. A higher number detects larger swings.
🔹 Ichimoku Kinkō Hyō
Show Lines: Enable/Disable the 5 Ichimoku lines: Kijun sen, Tenkan sen, Senkou span A & B and Chikou Span.
Show Kumo: Enable/Disable the Kumo (cloud). The Kumo is formed by 2 lines: Senkou Span A and Senkou Span B.
Tenkan Sen Length: Number of candles for Tenkan Sen calculation.
Kinjun Sen Length: Number of candles for the Kijun Sen calculation.
Senkou Span B Length: Number of candles for Senkou Span B calculation.
Chikou & Senkou Offset: Number of candles for Chikou and Senkou Span calculation. Chikou Span is plotted in the past, and Senkou Span A & B in the future.
🔹 Time Theory
Show Time Cycle Forecast: Enable/Disable time cycle forecast vertical lines. Disable for better performance.
Forecast Pattern: Choose between two patterns: Kihon Suchi (basic numbers) or Taito Suchi (equal numbers).
Anchor forecast on last X time cycle: Number of time cycles in the past to anchor the time cycle forecast. The larger the number, the deeper in the past the anchor will be.
Time Cycle Mode: Choose from 7 time cycle detection modes: Tenkan Sen cross, Kijun Sen cross, Kumo change between bullish & bearish, swing highs only, swing lows only, both swing highs & lows and wave detection.
Wave Cycle: Choose which type of wave to detect from 6 different wave types when the time cycle mode is set to WAVES.
Show Time Cycles: Enable/Disable time cycle horizontal lines. Disable for better performance.
how last X time cycles: Maximum number of time cycles to display.
🔹 Wave Theory
Basic Waves: Enable/Disable the display of basic waves, all at once or one at a time. Disable for better performance.
Complex Waves: Enable/Disable complex wave display, all at once or one by one. Disable for better performance.
Overlapping Waves: Enable/Disable the display of waves ending on the same swing point.
Show last X waves: 'Maximum number of waves to display.
🔹 Price Theory
Basic Targets: Enable/Disable horizontal price target lines. Disable for better performance.
Extended Targets: Enable/Disable extended price target horizontal lines. Disable for better performance.
NYSE TickThe NYSE Tick indicator is a market breadth indicator used to determine short-term bullish or bearish market sentiment. The NYSE Tick index compares the number of stocks on the New York Stock Exchange that are ticking up to the number of stocks ticking down at a specific moment in time. When the NYSE Tick is hovering around the zero line, roughly the same number of stocks are ticking up as are ticking down. When the overall market is rising it will usually present on the NYSE Tick as a rise in value that will generally stay mostly above the zero line for a period of time. The opposite is true when the general market is falling and can be seen as the NYSE Tick staying mostly below the zero line. This information can be very helpful for a short-term day trader who trades a market that also follows many of these same stocks, like the E-Mini S&P 500 Futures (ES), for example. While the index can theoretically rise or fall to over ±2,000 if all stocks on the NYSE are ticking up or down at the same time, it’s generally considered an extreme movement if the NYSE Tick is ±1,000. For this reason, the indicator has default reference lines at ±1,000 and halfway marks at ±500. In order to partially smooth out the movement and make movement trends more easily read, the indicator plots the values using Heikin Ashi candles instead of the standard bars or candlesticks. The price-line value displayed is an accurate live value, however, rather than the OHLC average value of a standard Heikin Ashi candle. Since the standard hours for the NYSE are Monday – Friday, 09:30 – 16:00 EST, the indicator only plots bars during this time.
Lin Reg (Linear Regression) Support and Resistance by xxMargauxLin Reg (Linear Regression) Support & Resistance by xxMargaux 💸
This indicator plots three linear regression lines (Lin Reg) on the price chart, providing insights into potential support and resistance levels. It calculates Lin Reg lines based on user-defined lengths and sources.
This indicator's settings were initially configured for MNQ1! (E-Mini Nasdaq 100 futures contracts). But works as intended on any security and on any timeframe.
When price is below a given Lin Reg line, that line will be red and may serve as resistance as price moves up towards the line. That is, it may be a potential short entry opportunity. When price is above a given Lin Reg line, that line will be green and may serve as support as price continues up from the line. That is, it may be a potential long entry opportunity.
When price starts to break sideways or down through the Lin Reg lines, this may signal a reversal from uptrend to downtrend. When price starts to break sideways or up through the Lin Reg Lines, this may signal a reversal from downtrend to uptrend. In very strong trends, breaking through the lines briefly may provide an entry opportunity, but be cautious because a trend reversal may also be possible.
Inputs:
Length of Price Lin Reg Lines: Customize the lengths of the three Lin Reg lines.
Source for Price Lin Reg Lines: Choose the source for each Lin Reg line.
Source for Security Price: Select the price source for the security.
Features:
Trend Analysis: Assists in visualizing price trends based on the relationship between the security price and Lin Reg lines, which will be colored according to whether price is above or below each Lin Reg line.
Customizable Colors: When price is above a Lin Reg line that line will be green. When price is below a Lin Reg line, that line will be red.
Here's a beginner-friendly explanation of linear regression lines 💡
Best-Fit Line: Imagine you have a scatter plot of closing prices on a chart. Linear regression aims to find the straight line that best fits the overall trend of these data points. It's like drawing a line through the center of the data that minimizes the distance between the line and each data point.
Trend Identification: Once the linear regression line is plotted on a price chart, it provides a visual representation of the trend. If the price is generally rising, the linear regression line will slope upwards. If the price is falling, the line will slope downwards. This helps traders identify whether the trend is bullish (upward) or bearish (downward).
Support and Resistance: Linear regression lines can also act as dynamic support and resistance levels. When the price is above the linear regression line, it may act as support, meaning the price tends to bounce off the line and continue higher. Conversely, when the price is below the line, it may act as resistance, with the price encountering selling pressure and potentially reversing lower.
Reversal Signals: Changes in the slope or direction of the linear regression line can signal potential trend reversals. For example, if the price breaks above a downward-sloping linear regression line, it may indicate a shift from a downtrend to an uptrend, and vice versa.
Adjustable Parameters: Traders can customize the length of the linear regression line by adjusting the period over which it's calculated. Shorter periods may be more sensitive to recent price changes, while longer periods may provide a smoother trend line.
Long / Short OI Build Up ntroduction
The "Long / Short OI Build Up" script is designed to identify potential long or short build-up opportunities based on changes in open interest (OI) and price movements. Open interest refers to the total number of outstanding contracts for a financial asset, such as futures or options, that have not been settled. This script provides insights into whether there is a build-up of long positions (bullish sentiment) or short positions (bearish sentiment) in the market.
Script Overview
Indicator Overlay: This script functions as an overlay indicator, meaning it plots its output on the price chart.
Input Customization: Users can customize the symbol for which they want to analyze open interest data. Additionally, they can adjust parameters like the percentage change in open interest and price to define build-up conditions.
Dashboard Display: The script includes a dashboard feature that displays the build-up analysis at a chosen location on the chart.
Build-Up Analysis: Based on the defined criteria, the script identifies whether there is a long build-up (bullish) or short build-up (bearish) scenario. It calculates the change in open interest and price and compares them against user-defined thresholds.
Table Visualization: The results of the analysis are presented in a table format, showing the build-up type, percentage change in open interest, and percentage change in price.
Usage
Override Symbol: Users can choose to override the default symbol for analysis by selecting this option and entering the desired symbol.
Price Change Percentage: Set the percentage change in price that should trigger a build-up signal.
OI Change Percentage: Define the percentage change in open interest necessary to signal a build-up scenario.
Dashboard Location: Choose the location on the chart where the build-up analysis table will be displayed (options include Top Right, Bottom Right, and Bottom Left).
Interpretation
Build Up: Indicates whether there is a long build-up (green) or short build-up (red) based on the defined criteria.
OI Change: Shows the percentage change in open interest relative to the previous value. Positive values are highlighted in green, indicating an increase, while negative values are highlighted in red, indicating a decrease.
Price Change: Displays the percentage change in price relative to the previous close. Positive values are highlighted in green for price increase, while negative values are highlighted in red for price decrease.
Conclusion
The "Long / Short OI Build Up" script provides traders with valuable insights into potential bullish or bearish build-up scenarios based on changes in open interest and price movements. By customizing parameters and visualizing the analysis on a chart dashboard, traders can make more informed decisions regarding their trading strategies.
COT | MERCORThis Pine Script is designed for use on the TradingView platform to visualize various Commitment of Traders (COT) data for trading analysis. The COT reports provide a breakdown of each Tuesday’s open interest in the futures markets, which is valuable for understanding market sentiment. This script specifically focuses on displaying the positions of commercial and noncommercial traders (large speculators), both in long and short positions, as well as their net positions. Here’s a breakdown of the script’s components and how to use it:
Script Components
Indicator Declaration: The script begins by declaring a custom indicator using indicator() function, naming it "COT | MERCOR", and setting a short title and precision.
Library Import: It imports a library TradingView/LibraryCOT/2 as cot, which is likely a mock representation for the purpose of this description, assuming a library that provides COT data functions.
User Inputs:
shortNegative: A boolean input that allows users to choose whether short positions are displayed as negative numbers.
invertColors: A boolean input for users to decide if they want to invert the default colors of the plot lines.
lineWidth: An integer input that lets users adjust the width of the plotted lines.
COT Data Requests: The script requests COT data for both commercial and noncommercial traders' long and short positions using cot.COTTickerid() function. This includes constructing identifiers for these data points based on the user's input and predefined criteria (like "Commercial Positions" or "Noncommercial Positions", and direction "Long" or "Short").
Data Plotting: The script plots the retrieved data points on the chart, using different colors and line styles to distinguish between commercial and noncommercial positions, as well as between long, short, and net positions. It includes options to adjust the appearance based on user inputs (like inverting colors or changing line width).
Zero Line: A horizontal line (hline) is plotted at zero to provide a baseline for comparison.
How to Use
Adding the Script to Your Chart:
On TradingView, open the Pine Editor.
Paste this script into the Pine Editor.
Save and add the script to your chart.
Customizing the Display:
You can toggle whether short positions are displayed as negative numbers through the "Show Shorts as Negative Numbers?" checkbox.
Use the "Invert Colors?" checkbox to swap the colors used for plotting the positions.
Adjust the "Line Width" option to change the thickness of the plotted lines according to your preference.
Analyzing the Data:
The plotted lines represent the long, short, and net positions of commercial and noncommercial traders.
Commercial positions are typically considered the positions of entities involved in the production, processing, or merchandising of a commodity, whereas noncommercial positions represent large speculators, such as hedge funds.
The net positions (long minus short) provide insight into the overall bullish or bearish sentiment among these trader categories.
By examining these positions, traders can gain insights into potential market moves based on the behaviors of key market participants.
This script is a powerful tool for traders who want to incorporate COT report data into their market analysis on TradingView. By visualizing the trading positions of significant market players, it aids in making informed trading decisions.
Realized volatility differentialAbout
This is a simple indicator that takes into account two types of realized volatility: Close-Close and High-Low (the latter is more useful for intraday trading).
The output of the indicator is two values / plots:
an average of High-Low volatility minus Close-Close volatility (10day period is used as a default)
the current value of the indicator
When the current value is:
lower / below the average, then it means that High-Low volatility should increase.
higher / above then obviously the opposite is true.
How to use it
It might be used as a timing tool for mean reversion strategies = when your primary strategy says a market is in mean reversion mode, you could use it as a signal for opening a position.
For example: let's say a security is in uptrend and approaching an important level (important to you).
If the current value is:
above the average, a short position can be opened, as High-Low volatility should decrease;
below the average, a trend should continue.
Intended securities
Futures contracts
TrippleMACDCryptocurrency Scalping Strategy for 1m Timeframe
Introduction:
Welcome to our cutting-edge cryptocurrency scalping strategy tailored specifically for the 1-minute timeframe. By combining three MACD indicators with different parameters and averaging them, along with applying RSI, we've developed a highly effective strategy for maximizing profits in the cryptocurrency market. This strategy is designed for automated trading through our bot, which executes trades using hooks. All trades are calculated for long positions only, ensuring optimal performance in a fast-paced market.
Key Components:
MACD (Moving Average Convergence Divergence):
We've utilized three MACD indicators with varying parameters to capture different aspects of market momentum.
Averaging these MACD indicators helps smooth out noise and provides a more reliable signal for trading decisions.
RSI (Relative Strength Index):
RSI serves as a complementary indicator, providing insights into the strength of bullish trends.
By incorporating RSI, we enhance the accuracy of our entry and exit points, ensuring timely execution of trades.
Strategy Overview:
Long Position Entries:
Initiate long positions when all three MACD indicators signal bullish momentum and the RSI confirms bullish strength.
This combination of indicators increases the probability of successful trades, allowing us to capitalize on uptrends effectively.
Utilizing Linear Regression:
Linear regression is employed to identify consolidation phases in the market.
Recognizing consolidation periods helps us avoid trading during choppy price action, ensuring optimal performance.
Suitability for Grid Trading Bots:
Our strategy is well-suited for grid trading bots due to frequent price fluctuations and opportunities for grid activation.
The strategy's design accounts for price breakthroughs, which are advantageous for grid trading strategies.
Benefits of the Strategy:
Consistent Performance Across Cryptocurrencies:
Through rigorous testing on various cryptocurrency futures contracts, our strategy has demonstrated favorable results across different coins.
Its adaptability makes it a versatile tool for traders seeking consistent profits in the cryptocurrency market.
Integration of Advanced Techniques:
By integrating multiple indicators and employing linear regression, our strategy leverages advanced techniques to enhance trading performance.
This strategic approach ensures a comprehensive analysis of market conditions, leading to well-informed trading decisions.
Conclusion:
Our cryptocurrency scalping strategy offers a sophisticated yet user-friendly approach to trading in the fast-paced environment of the 1-minute timeframe. With its emphasis on automation, accuracy, and adaptability, our strategy empowers traders to navigate the complexities of the cryptocurrency market with confidence. Whether you're a seasoned trader or a novice investor, our strategy provides a reliable framework for achieving consistent profits and maximizing returns on your investment.
TTrades Daily Bias [TFO]Inspired by @TTrades_edu video on daily bias, this indicator aims to develop a higher timeframe bias and collect data on its success rate. While a handful of concepts were introduced in said video, this indicator focuses on one specific method that utilizes previous highs and lows. The following description will outline how the indicator works using the daily timeframe as an example, but the weekly timeframe is also an included option that functions in the exact same manner.
On the daily timeframe, there are a handful of possible scenarios that we consider: if price closes above its previous day high (PDH), the following day's bias will target PDH; if price trades above its PDH but closes back below it, the following day's bias will target its previous day low (PDL).
Similarly, if price closes below its PDL, the following day's bias will target PDL. If price trades below its PDL but closes back above it, the following day's bias will target PDH.
If price trades as an inside bar that doesn't take either PDH or PDL, it will refer to the previous candle for bias. If the previous day closed above its open, it will target PDH and vice versa. If price trades as an outside bar that takes both PDH and PDL, but closes inside that range, no bias is assigned.
With a rigid framework in place, we can apply it to the charts and observe the results.
As shown above, each new day starts by drawing out the PDH and PDL levels. They start out as blue and turn red once traded through (these are the default colors which can be changed in the indicator's settings). The triangles you see are plotted to indicate the time at which PDH or PDL was traded through. This color scheme is also applied to the table in the top right; once a bias is determined, that cell's color starts out as blue and turns red once the level is traded through.
The table indicates the success rate of price hitting the levels provided by each period's bias, followed by the success rate of price closing through said levels after reaching them, as well as the sample size of data collected for each scenario.
In the above crude oil futures (CL1!) 30m chart, we can glean a lot of information from the table in the top right. First we may note that the "PDH" cell is red, which indicates that the current day's bias was targeting PDH and it has already traded through that level. We might also note that the "PWH" cell is blue, which indicates that the weekly bias is targeting the previous week high (PWH) but price has yet to reach that level.
As an example of how to read the table's data, we can look at the "PDH" row of the crude oil chart above. The sample size here indicates that there were 279 instances where the daily bias was assigned as PDH. From this sample size, 76.7% of instances did go on to trade through PDH, and only 53.7% of those instances actually went on to close through PDH after hitting that level.
Of course, greater sample sizes and therefore greater statistical significance may be derived from higher timeframe charts that may go further back in time. The amount of data you can observe may also depend on your TradingView plan.
If we don't want to see the labels describing why bias is assigned a certain way, we can simply turn off the "Show Bias Reasoning" option. Additionally, if we want to see a visual of what the daily and weekly bias currently is, we can plot that along the top and bottom of the chart, as shown above. Here I have daily bias plotted at the top and weekly bias at the bottom, where the default colors of green and red indicate that the bias logic is expecting price to draw towards the given timeframe's previous high or low, respectively.
For a compact table view that doesn't take up much chart space, simply deselect the "Show Statistics" option. This will only show the color-coded bias column for a quick view of what levels are being anticipated (more user-friendly for mobile and other smaller screens).
Alerts can be configured to indicate the bias for a new period, and/or when price hits its previous highs and lows. Simply enable the alerts you want from the indicator's settings and create a new alert with this indicator as the condition. There will be options to use "Any alert() function call" which will alert whatever is selected from the settings, or you can use more specific alerts for bullish/bearish bias, whether price hit PDH/PDL, etc.
Lastly, while the goal of this indicator was to evaluate the effectiveness of a very specific bias strategy, please understand that past performance does not guarantee future results.
ICT Killzones Toolkit [LuxAlgo]The ICT Killzones Toolkit is a comprehensive set of tools designed to assist traders in identifying key trading zones and patterns within the market.
The ICT Killzones Toolkit includes the following Price Action components:
ICT Killzones with Pivot Highs/Lows
Order Blocks
Breaker Blocks
Fair Value Gaps
Market Structure Shifts
By combining these components, the ICT Killzones Toolkit provides traders with a comprehensive framework for analyzing the market and identifying setups of interest. Leveraging these tools effectively can enhance traders' decision-making process and improve killzones interpretability.
🔶 USAGE
In forex/futures trading, timing is crucial. ICT Killzone are specific periods when there's a higher chance of finding setups of interest. Mastering these time intervals can offer significant advantages to traders who know how to use them effectively.
The image above highlights a potential setup of interest when using the ICT Killzones Toolkit.
As another example for utilizing the ICT Killzones Toolkit, we can see in the image above when price retests setups generated from killzones such as Order Blocks or Fair Value Gaps, a potential strategy could be to look for entries on those & take profits as the next killzone appears.
🔹 Order Blocks
Order Blocks are sections on a price chart where notable buying or selling activity has occured, often signaling interest zones for institutional traders. This toolkit's Order Blocks component pinpoints these areas within the Killzone, which may act as potential support or resistance levels.
🔹 Breaker Blocks
Breaker Blocks are zones built from mitigated order blocks, and highlight zones on the chart where price has previously stalled or reversed. These areas may act as significant barriers to price movement in the future, and the Breaker Blocks component helps traders identify them for potential trading opportunities.
🔹 Fair Value Gaps
Fair value gaps are especially favored by price action traders and arise from market inefficiencies or imbalances, typically when buying and selling are unequal. These gaps often attract price movement before resuming in the same direction. the Fair Value Gaps component of the toolkit helps traders identify and analyze them.
🔹 Market Structure Shifts
Market Structure Shifts refer to significant changes in the overall structure of the market, such as shifts in trend direction, volatility, or trading activity. These shifts can provide valuable insights into market sentiment and potential trading opportunities, and the Market Structure Shifts component helps traders identify and interpret them.
Overall, the ICT Killzone Toolkit combines these components to provide traders with a comprehensive framework for analyzing the markets and identifying high-probability trading setups.
🔶 SETTINGS
🔹 ICT Killzones
Asian, London Open, New York, and London Close: toggles the visibility of specific Killzones, allowing users to customize time periods and Killzone colors.
Killzone Lines : Top/Bottom, Mean and Extend Top/Bottom: toggles the visibility of the Killzone's pivot high and low lines, mean (average) line, and allows users to extend the pivot lines.
Killzone Labels: Toggles the visibility of the Killzone labels.
Display Killzones within Timeframes Up To: Toggles the visibility of the Killzones up to selected Timeframes.
Open Price, Separator, Label, and Color: toggles the visibility of the open price of the Killzones or for the day, week, or month. If the day, week, or month is selected, a separator will be displayed to highlight the beginning of each respective period. Additionally, users can customize the color and toggle the label as needed.
🔹 Order Blocks & Breaker Blocks
Order Blocks | Breaker Blocks: toggles the visibility of the order blocks & breaker blocks.
Swing Detection Length: lookback period used for the detection of the swing points used to create order blocks & breaker blocks.
Mitigation Price: allows users to select between closing price or wick of the candle.
Use Candle Body in Detection: allows users to use candle bodies as order block areas instead of the full candle range.
Remove Mitigated Order Blocks & Breaker Blocks: toggles the visibility of the mitigated order blocks & breaker blocks.
Extend Order Blocks & Breaker Blocks: enables processing of the order blocks & breaker blocks beyond the boundaries of the killzones.
Display Order Blocks & Breaker Blocks: enables the display of the first, last, or all occurrences of the order blocks & breaker blocks.
Order Blocks : Bullish, Bearish Color: color customization option for order blocks.
Breaker Blocks : Bullish, Bearish Color: color customization option for breaker blocks.
Show Order Blocks & Breaker Blocks Text: toggles the visibility of the order blocks & breaker blocks labels.
🔹 Market Structure Shifts
Market Structure Shifts: toggles the visibility of the market structure shifts.
Detection Length: market structure shift detection length.
Display Market Structure Shifts: enables the display of the first, last, or all occurrences of the market structure shifts.
Market Structure Shifts : Bullish, Bearish Color: color custumization option for market structure shifts.
Show Market Structure Shifts Text: toggles the visibility of the market structure shifts labels.
🔹 Fair Value Gaps
Fair Value Gaps: toggles the visibility of the fair value gaps.
Fair Value Gap Width Filter: filtering threshold wile detecting fair value gaps.
Remove Mitigated Fair Value Gaps: removes mitigated fair value gaps.
Extend Fair Value Gaps: enables processing of the fair value gaps beyond the boundaries of the killzones.
Display Fair Value Gaps: enables the display of the first, last, or all occurrences of the fair value gaps.
Bullish Imbalance Color: color customization option.
Bearish Imbalance Color: color customization option.
Show Fair Value Gaps Text: toggles the visibility of the fair value gaps labels.
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Thanks to our community for recommending this script. For more conceptual scripts and related content, we welcome you to explore by visiting >>> LuxAlgo-Scripts .
Supertrended RSI [AlgoAlpha]🚀📈 Introducing the Supertrended RSI Indicator by AlgoAlpha!
Designed to empower your trading decisions, this innovative Pine Script™ creation marries the precision of the Relative Strength Index (RSI) with the dynamic prowess of the SuperTrend methodology. Whether you’re charting the course of cryptos, riding the waves of stock markets, or navigating the futures landscape, our SuperTrended RSI Indicator is your go-to tool for uncovering unique trend insights and crafting trading strategies. 🌟
Key Features:
🔍 Enhanced RSI Analysis: Combines the traditional RSI with a supertrend calculation for a dynamic look at market trends.
🔄 Multiple Moving Averages: Offers a selection of moving averages including SMA, HMA, EMA, and more for tailored analysis.
🎨 Customizable Visuals: Choose your own color scheme for uptrends and downtrends to match your trading dashboard.
📊 Flexible Input Settings: Tailor the indicator with customizable lengths, factors, and smoothing options.
⚡ Real-Time Alerts: Set alerts for bullish and bearish reversals to stay ahead of market movements.
Quick Guide to Using the Supertrended RSI Indicator
Maximize your trading with the Supertrended RSI by following these streamlined steps! 🚀✨
🛠 Add the Indicator: Search for "Supertrended RSI " in TradingView's Indicators & Strategies. Customize settings like RSI length, MA type, and Supertrend factors to fit your trading style.
🎨 Visual Customization: Adjust uptrend and downtrend colors for clear trend visualization.
📊 Market Analysis: Watch for the Supertrend color change for trend reversals. Use the 70 and 30 lines to spot overbought/oversold conditions.
🔔 Alerts: Enable notifications for reversal conditions to capture trading opportunities without constant chart monitoring.
How It Works:
At the core of this indicator is the combination of the Relative Strength Index (RSI) and the Supertrend framework, it does so by applying the SuperTrend on the RSI. The RSI settings can be adjusted for length and smoothing, with the option to select the data source. The Supertrend calculation takes into account a specified trend factor and the Average True Range (ATR) over a given period to determine trend direction.
Visual elements include plotting the RSI, its moving average, and the Supertrend line, with customizable colors for clarity. Overbought and oversold conditions are highlighted, and trend changes are filled with distinct colors.
🔔 Alerts: Enable alerts for crossover and crossunder events to catch every trading opportunity.
🌈 Whether you're a seasoned trader or just starting, the Supertrended RSI offers a fresh perspective on market trends. 📈
💡 Tip: Experiment with different settings to find the perfect balance for your trading style!
🔗 Explore, customize, and enhance your trading experience with the Supertrended RSI Indicator! Happy trading! 🎉
RVOL++Overview
RVOL++ is a valuable tool for intraday traders to gauge market participation and anticipate the pace of the market. By understanding the RVOL levels, traders can adjust their strategies and expectations to align with the current market conditions. RVOL is a simple mathematical formula that compares the current volume to a prior lookback period, such as the previous 5 days or previous 10 days. This indicator helps traders understand the level of interest or participation in the market, which in turn can indicate the speed or pace of the market.
How to calculate RVOL at Time
Check if the current time is within the specified time period (e.g., 9:30 AM to 5:00 PM EST).
If it is, calculate the current cumulative volume for that period.
Find the average cumulative volume for the same period over the past X days (where X is the lookback period).
Calculate the RVOL at Time as:
RVOL at Time =(Current Cumulative Volume/Average Cumulative Volume)×100
For more info about calculating RVOL at time please refer to the Tradingview article.
www.tradingview.com
Key Features of RVOL++
Two Session and Daily Modes: In Two Session mode, it calculates RVOL for two distinct trading sessions, while in Daily mode, it calculates RVOL for the entire trading day. Two Session mode helps for instruments like futures, forex, crypto that trade 23+ hours. If you are using an instrument such as a stock like AAPL, if you don't have pre-market/extended hours enabled you will want to use "Daily Mode".
Session Time Settings: The indicator allows users to define the trading session times in Eastern Standard Time (EST) for more accurate RVOL calculations.
Customizable Lookback Period: Users can set the number of days for the lookback period, allowing for flexibility in calculating the average volume at time (RVOL).
Color-Coded RVOL Histogram: The indicator displays a color-coded histogram to visualize RVOL levels. Different colors represent different RVOL ranges, making it easy to identify low, neutral, and high RVOL periods.
RVOL Ranges**: The indicator defines RVOL ranges as follows:
40 - 80: Low RVOL (Red/Yellow)
80 - 120: Neutral RVOL (Blue/Cyan)
120+: High RVOL (Green-Lime)
Low RVOL Environment
Expect slow market movement with limited opportunities.
Focus on A+ setups and be selective.
Use tighter stops, size down, and adjust trading goals.
Neutral RVOL Environment
Expect a more normalized trading pace with frequent rotations.
Lean on structure and incorporate other trading tools.
Use normal sizing and stop management.
High RVOL Environment
Expect the best opportunities for range expansion and rotations.
Be more relaxed about overtrading but stay focused on structure.
Start with smaller initial size and build up to a full position.
Day/Week/Month Metrics (Zeiierman)█ Overview
The Day/Week/Month Metrics (Zeiierman) indicator is a powerful tool for traders looking to incorporate historical performance into their trading strategy. It computes statistical metrics related to the performance of a trading instrument on different time scales: daily, weekly, and monthly. Breaking down the performance into daily, weekly, and monthly metrics provides a granular view of the instrument's behavior.
The indicator requires the chart to be set on a daily timeframe.
█ Key Statistics
⚪ Day in month
The performance of financial markets can show variability across different days within a month. This phenomenon, often referred to as the "monthly effect" or "turn-of-the-month effect," suggests that certain days of the month, especially the first and last days, tend to exhibit higher than average returns in many stock markets around the world. This effect is attributed to various factors including payroll contributions, investment of monthly dividends, and psychological factors among traders and investors.
⚪ Edge
The Edge calculation identifies days within a month that consistently outperform the average monthly trading performance. It provides a statistical advantage by quantifying how often trading on these specific days yields better returns than the overall monthly average. This insight helps traders understand not just when returns might be higher, but also how reliable these patterns are over time. By focusing on days with a higher "Edge," traders can potentially increase their chances of success by aligning their strategies with historically more profitable days.
⚪ Month
Historically, the stock market has exhibited seasonal trends, with certain months showing distinct patterns of performance. One of the most well-documented patterns is the "Sell in May and go away" phenomenon, suggesting that the period from November to April has historically brought significantly stronger gains in many major stock indices compared to the period from May to October. This pattern highlights the potential impact of seasonal investor sentiment and activities on market performance.
⚪ Day in week
Various studies have identified the "day-of-the-week effect," where certain days of the week, particularly Monday and Friday, show different average returns compared to other weekdays. Historically, Mondays have been associated with lower or negative average returns in many markets, a phenomenon often linked to the settlement of trades from the previous week and negative news accumulation over the weekend. Fridays, on the other hand, might exhibit positive bias as investors adjust positions ahead of the weekend.
⚪ Week in month
The performance of markets can also vary within different weeks of the month, with some studies suggesting a "week of the month effect." Typically, the first and the last week of the month may show stronger performance compared to the middle weeks. This pattern can be influenced by factors such as the timing of economic reports, monthly investment flows, and options and futures expiration dates which tend to cluster around these periods, affecting investor behavior and market liquidity.
█ How It Works
⚪ Day in Month
For each day of the month (1-31), the script calculates the average percentage change between the opening and closing prices of a trading instrument. This metric helps identify which days have historically been more volatile or profitable.
It uses arrays to store the sum of percentage changes for each day and the total occurrences of each day to calculate the average percentage change.
⚪ Month
The script calculates the overall gain for each month (January-December) by comparing the closing price at the start of a month to the closing price at the end, expressed as a percentage. This metric offers insights into which months might offer better trading opportunities based on historical performance.
Monthly gains are tracked using arrays that store the sum of these gains for each month and the count of occurrences to calculate the average monthly gain.
⚪ Day in Week
Similar to the day in the month analysis, the script evaluates the average percentage change between the opening and closing prices for each day of the week (Monday-Sunday). This information can be used to assess which days of the week are typically more favorable for trading.
The script uses arrays to accumulate percentage changes and occurrences for each weekday, allowing for the calculation of average changes per day of the week.
⚪ Week in Month
The script assesses the performance of each week within a month, identifying the gain from the start to the end of each week, expressed as a percentage. This can help traders understand which weeks within a month may have historically presented better trading conditions.
It employs arrays to track the weekly gains and the number of weeks, using a counter to identify which week of the month it is (1-4), allowing for the calculation of average weekly gains.
█ How to Use
Traders can use this indicator to identify patterns or trends in the instrument's performance. For example, if a particular day of the week consistently shows a higher percentage of bullish closes, a trader might consider this in their strategy. Similarly, if certain months show stronger performance historically, this information could influence trading decisions.
Identifying High-Performance Days and Periods
Day in Month & Day in Week Analysis: By examining the average percentage change for each day of the month and week, traders can identify specific days that historically have shown higher volatility or profitability. This allows for targeted trading strategies, focusing on these high-performance days to maximize potential gains.
Month Analysis: Understanding which months have historically provided better returns enables traders to adjust their trading intensity or capital allocation in anticipation of seasonally stronger or weaker periods.
Week in Month Analysis: Identifying which weeks within a month have historically been more profitable can help traders plan their trades around these periods, potentially increasing their chances of success.
█ Settings
Enable or disable the types of statistics you want to display in the table.
Table Size: Users can select the size of the table displayed on the chart, ranging from "Tiny" to "Auto," which adjusts based on screen size.
Table Position: Users can choose the location of the table on the chart
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
10 Minute Futures Session Open RangeInspired by SamRecio's 30sec OR script.
The 10 minute Opening Range (OR) dynamically identifies and visualizes the opening range of a trading session within the first 10 minutes after the market opens at 9:30 AM EST, concluding at 4:00 PM EST, reflecting the typical trading hours for U.S. stock exchanges. This indicator is particularly useful for strategies that rely on the initial market momentum and direction established during the early moments of the trading session.
Upon activation, the indicator calculates the highest (orHigh) and lowest (orLow) price levels reached during the first 10 minutes of the trading session, marking these levels with green (for the high) and red (for the low) lines directly on the chart overlay. Additionally, it computes and plots a midpoint (midPoint) between these high and low levels, displayed as a blue line, offering a visual reference for the median of the opening range.
The calculations are reset daily to ensure the indicator accurately reflects the opening range for each new trading session. By doing so, it avoids carrying over data from previous days, maintaining relevance and precision for day traders and those utilizing short-term trading strategies. The indicator also incorporates timezone adjustments to align with the America/New_York timezone, ensuring that the opening range is accurately captured regardless of the user's local timezone.
This tool is invaluable for traders looking to capitalize on breakout or reversion strategies around the opening range, providing clear visual cues for significant price levels established at the start of the trading session. By focusing on the first 10 minutes of trading, it caters to a specific segment of the market that believes the initial movements can set the tone for the rest of the day's trading activity.
Asset capital flows - multi-timeframeIndicator for use on the any timeframe to show net capital flows into an asset of your choosing, to allow the user to track potential buy and selling pressure.
Net volume is derived from lower timeframe data (5 minute chart by default for daily timeframe) and multiplied by the average price for the same LTF period (defined by the mean of the high, low + close values). This gives the net capital inflow or outflow for the asset per bar. The cumulative sum of all previous bars is also calculated each period/day and available to be plotted as a line chart.
This might be preferred to other similar indicators as it uses low time frame bars to calculate the up/down volumes and price, thus accuracy is improved.
It should be borne in mind that the values of capital flows displayed are specific to the asset and the volume/price feed origin (ie the listed exchange used), and thus correlated with the total underlying flows, but there are other external factors influencing the volume/price data feed beyond the buy/sell volume of the specified exchange (such as spot and futures trading on other locations/exchanges)
Volume Spike IndicatorHello dear traders,
Today we're discussing an indicator I've coded: the Volume Spike Indicator (VSI).
The indicator isn't a groundbreaking invention and certainly not a novelty. Nevertheless, I haven't seen this version of the indicator on TradingView before, so I'd like to introduce it.
1. The Origin of the Idea:
We're all familiar with volume charts: A volume chart visually represents the trading activity for a specific asset over a certain period, indicating the total number of shares or contracts traded.
We also know that volume spikes can significantly impact the market. A volume spike represents an extreme anomaly, a day, week, or month with an extraordinary amount of trading. However, recognizing these spikes in practice isn't always straightforward. What constitutes high volume? How do we define and identify it? The answers to these questions aren't easy.
It's commonly said that a volume spike could be identified if the volume is 25% more than the average of the two weeks prior, but how do you measure this 25%? It's not always easy to calculate, especially in real-time.
This challenge led me to develop the concept into an indicator.
How Does It Work?
Imagine being able to "feel" the market's energy like a surfer feels the ocean. The VSI does something similar by examining trading volume and comparing it to what has been typical over the past few weeks. Here's a quick look at the magic behind it:
Step 1: Establishing the Baseline: We start by establishing a baseline, i.e., the average trading volume over a given period. Let's use the last 10 days as the default setting. We choose 10 days because, in the traditional stock market, 10 days represent two weeks if you subtract weekends. This gives us a fixed line to compare against.
Step 2: Recognizing Peaks: Next, we look for days when the trading volume significantly exceeds this average. The size of the jump is where you have a say. You can set a threshold, such as 25%, to define what you consider a volume spike.
Step 3: The Calculation: This is where the math comes into play. We calculate the percentage change in today's volume compared to the average volume of the last 10 days. For example, if today's volume is 30% above the average and you've set your threshold at 25%, the VSI will recognize this as a spike.
Step 4: Visual Cue: These spikes are then plotted on a graph, with each spike represented as a bar. The height of the bar indicates the spike's percentage size, so you can see at a glance how significant a spike is.
Step 5: Intuitive Color Coding: For quick analysis, the VSI employs a color-coding system. Exceptionally high peaks, such as those exceeding a 100% increase, are highlighted in blue to emphasize their importance. Other peaks are shown in red, creating a visual hierarchy for quick volume data interpretation.
Why This Matters:
Identifying these spikes can help pinpoint the beginning or end of a trend. The idea is that when trading peaks at a certain level, there might be no more buyers or sellers willing to engage at that price level. Volume peaks, and a reversal is likely imminent. It's a simple yet effective concept. Therefore, it's crucial to use this indicator in the context of the trend, as not every spike carries the same significance.
Customizable:
The beauty of the VSI lies in its flexibility. Trading futures? You might want to adjust the averaging period to 14 days to better suit your market. You have full control over the settings to tailor them to your trading style.
Interpreting the Figures:
A positive percentage indicates a volume spike above the average – the higher the percentage, the more significant the spike.
If the percentage exceeds a certain threshold (which you can set, e.g., 25%), it signals a volume spike, indicating increased market activity that could precede significant price movement.
What makes the VSI genuinely adaptable is your ability to tweak the parameters to suit your needs.
Are you trading in a volatile market? Extend the SMA period to smooth out the noise. Trading in a 24-hour market? Adjust the length of your SMA. Seeking finer details? Shorten it. The VSI is yours to adapt to your trading strategy.
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As we wrap up this introduction to the Volume Spike Indicator, I hope you're as excited about its potential as I am. This tool, born out of curiosity and a desire for clarity in the vast ocean of market data, is designed to be your ally in navigating the waves of trading activity.
Remember, the true power of the VSI lies not just in its ability to highlight significant volume spikes, but in its adaptability to your unique trading style and needs. Whether you're charting courses through the tumultuous seas of day trading or navigating the broader currents of long-term investments, the VSI is here to offer insights and guidance.
I encourage you to experiment with it, customize it, and see how it can enhance your trading strategy. And as you do, remember that every tool, no matter how powerful, is just one piece of the puzzle. Combine the VSI with your knowledge, experience, and intuition to make informed and strategic trading decisions.
Thank you for taking the time to explore the Volume Spike Indicator with me.
Best Regards,
Karim Subhieh
BTC Perp/Spot Price DifferenceThis is a simple script that provides you with realtime information on the actual Bitcoin price difference between the Binance Perpetual Futures and the Coinbase Spot markets.
I consider this information very useful - especially on intraday timeframes - because it immediately shows the way the retail margin traders are skewed.
Positive values mean that the margin retail daytraders are mainly long, negative values mean the opposite.
I hope this indicator will help you in your intraday Bitcoin trades.
Gains CorrelationsScript Description: This script is to tie the major futures indexes together at a macro level with the normal relationships (i.e. 10YR Yield, DXY, VIX inversely related to Equities) and determine how strong the correlation is between them using a 20 period average. For example, a move up in the 10YR yield while having a strong inverse covariance with equities should signal a downward move for equities. In addition, if ES and NQ are going down, and the Dow and RTY have a strong covariance, the probability of them going down as well is strong. Overall, it's a macro indicator on broad market movements.
Originality & Usefulness: The script functions by tying 7 major indexes together using correlation strength relative to the currently selected ticker. The user can change the tickers and also invert if needed. This is different from the single correlation script by adding in several as they track in tandem. The chart used is to illustrate periods where correlations are tight with equities and the lines are clustered towards the top range of strong covariance. It also highlights when Equities are far out of line with others like gold (GC). A loose covariance would mean the relationship is weak and this indicator would show a divergence in price action between them. The overall intent is to show that most indexes rise and fall together but sometimes they move faster together.
Anchored Progressive RangeIntroducing a simple script based off of the idea that ranges form from a point of origin that can be measured and produce interesting analysis indicating potential opportunities.
Specifically I use this on daily and weekly anchorage to find mid range retracements once range has developed.
Configure internal multipliers to provide potentially useful measurements between range high and mid point, as well as mid point and range low. By default it's standard .25 based multipliers but one could adjust to fib multipliers such as .615, .65, etc.
Anchored open price is plotted as continuous line as often times reversals will occur and open price will be tested on daily, weekly, monthly timeframes.
Once a bit of range is established and there's a rapid adjustment of range mid up or down, these can signal interesting breakouts. Also areas where the range stays flat due to no new high or low being printed can be indicative of consolidation, etc.
I've tested this with heikin ashi, renko, bars, line and regular candles through various markets such as futures, etfs and stocks and everything appears to anchor correctly, please feedback if experiencing otherwise.
I hope you enjoy this indicator as much as I enjoyed creating it, happy trading!
Cast ForwardThis indicator will not forecast price action. It will not predict price movement nor will it in any way predict the outcome of any trade you may take. This is not a signal for buying or selling. You must do your own back testing and analysis for trading.
Time and price are the two most important components of market data. Where was price at what time? To help visualize this question I created this indicator. It allows for the previous session data to be overlayed onto the chart offset forward 24 hours. What this means is that you have the high, (high/low)/2, and low of each candle plotted on top of your chart for the time frame of the current chart, but offset so that the data from the current candle has the data from the corresponding candle 24 hours prior lined up on the x-axis.
SMA Logic: I used the SMA (Simple Moving Average) function with a length of 1 to plot the data points without any smoothing to give the true values of the data.
For Intraday Charting
For Electronic Trading Hours:
In order to line up the data correctly, for intraday charts, I used the current chart timeframe and divided it into 1380 (number of minutes in the 23 hour futures market trading day) to set the data offset. Using the same math logic, this indicator also gives the correct correlated data on the 30 second time frame. If the chart time frame that is currently being used does not allow for correct data correlation (not a factor of 1380) it will not plot the data.
For Regular Trading Hours:
In order to line up the data correctly, for intraday charts, I used the current chart timeframe and divided it into 405 (number of minutes in the 6 hour 45 minutes New York regular session trading day, including the 15 minute settlement time) to set the data offset. This indicator also gives the correct correlated data on the 30 second time frame. If the chart time frame that is currently being used does not allow for correct data correlation (not a factor of 405) it will not plot the data.
For the Daily Chart:
This indicator plots a visualization of the 20-40-60 day IPDA data range; (The IPDA data range helps traders identify liquidity, price gaps, and equilibrium points in the market, providing insights for optimal trade entries and market structure shifts). It does this using the same SMA logic as the intraday plot. What this means is it offsets the historical data of the daily chart 20, 40, or 60 bars forward. You can plot any combination of the three on the chart at one time, but these will not show on the intraday chart. This allows for visualization of where the market will possibly seek liquidity, seek to rebalance, or seek equilibrium in the future.
Live Economic Calendar by toodegrees⚠️ PLEASE READ ⚠️
Although this indicator is accurate in showcasing live and upcoming News Events, checking the original sources is always suggested. This indicator aims to save Time, but due to limitations it may not be 100% correct 100% of the Time.
Description:
The Live Economic Calendar indicator seamlessly integrates with external news sources to provide real-Time, upcoming, and past financial news directly on your Tradingview chart.
By having a clear understanding of when news are planned to be released, as well as their respective impact, analysts can prepare their weeks and days in advance. These injections of volatility can be harnessed by analysts to support their thesis, or may want to be avoided to ensure higher probability market conditions. Fundamentals and news releases transcend the boundaries of technical analysis, as their effects are difficult to predict or estimate.
Designed for both novice and experienced traders, the Live Economic Calendar indicator enhances your analysis by keeping you informed of the latest and upcoming market-moving news.
This is achieved with three different visual components:
News Table: A dedicated News Table shows the Day of the Week, Date, Time of the Day, Currency, Expected Impact, and News Name for each event (in chronological order). Once a news event has occurred, or the day is over, it will be greyed out – helping to focus on the next upcoming news events.
News Lines: Vertical lines plotted in the future help analysts monitor upcoming news events; vertical lines in the past help analysts spot and backtest previous news events that already occurred.
News Labels: Color-coded news labels will plot once the news events have occurred. This not only gives analysts a minimalistic visual cue, but also retains the information of which news were released at that Time in their tooltips.
Forex Factory Calendar News Feed:
The Forex Factory Data Feed includes news events from January 2007 to the present. The data is updated daily. Please see the Technical Description below for more information.
Forex Factory provides news for all major currencies and markets:
Australia (AUD)
Canada (CAD)
Switzerland (CHF)
China (CNY)
European Union (EUR)
United Kingdom (GBP)
Japan (JPY)
New Zealand (NZD)
United States of America (USD)
Further, there are four types of news impact, defined by respective color-coding which is retained to avoid confusion:
⚪ Holiday
🟡 Low Impact
🟠 Medium Impact
🔴 High Impact
News' Time of the day data is in 24H format, and 'All Day' news are marked at Daily candle open.
⚠️ Original Release Notes ⚠️
The original release of this indicator supports the Forex Factory News Calendar in EST (New York Time). Future updates will include multiple news sources, as well as supporting different Timezones.
Given Data limitations, the Daily chart can omit some data due to the market being close on some days. This will be fixed in the future once an efficient solution is implemented.
Key Features:
Impact-Based News Filtering: Filter news items based on their expected impact (holiday, low, medium, high) to focus on the most market-critical information.
Symbol-Specific News: Automatically filter news to display only what's relevant to the currency pair or trading symbol you are analyzing.
Custom Currency News: Want to see more than the news relevant to the current symbol? Toggle which markets' news you are most interested in.
Chart History: Keep your charts clean by displaying only the drawings of Today's news, or This Week's news.
Custom Lookback: Look further back in Time by choosing a custom number of Lookback Days, allowing you to backtest and keep in mind salient news events from the past.
Line and Label Customization: Both the News Lines and Labels are highly customizable (except the colors), allowing you to make the indicator yours.
Table History: Choose whether to focus on Today's news only, or the news for This Week.
Table Customization: The table colors and position are highly customizable, allowing you to make it fit your visual preference and your layouts' aesthetic.
"Wondering how it's done? 👇"
Technical Description:
This script utilizes Pine Seeds , a service integrated with TradingView for importing custom data. This stunning feature enables users to upload and access custom End Of Day (EOD) data, which can be updated as frequently as five times daily.
This data can be imported in one of two formats:
Single Value: integer or float
Candle Data: open, high, low, close, volume
Upon encountering Pine Seeds, I recognized its potential for importing financial news events. Given that Forex Factory is a primary source of financial news in my personal analysis, integrating it into my layouts seemed like an exciting opportunity. This integration is expected to provide significant value to users looking to integrate additional news feeds all in one place.
Development Challenges:
Format Limitations: News events must be converted into numerical values for import, due to the required Pine Seeds format.
Amount of Data: With all currencies considered, the system may encounter over 40 news events in a single day.
Data Availability: The reliance on End Of Day (EOD) data means that information for the current day is displayed with a delay, and accessing future data is not possible.
Solutions:
Encoding: Each news event is encoded as an integer in the "DCHHMMITYP" format.
D = day of the week
C = currency
HHMM = Time of day
I = news impact
TYP = event ID (see Event Library A and Event Library B )
To ensure data assignment for each candle across the open, high, low, close, and volume series, the value "999" is used as a placeholder:
Importing: Utilizing the encoding system, up to five news events per day can be imported for a singular Pine Seeds custom symbol.
By creating multiple custom Pine Seeds Symbols, efficient imports of a larger number of events is then easily achievable. Nine unique symbols have been established, accommodating up to 45 news events per day.
These symbols are searchable, and accessible as " TOODEGREES_FOREX_FACTORY_SLOT_N " where N ranges from 1 to 9.
The Pine Seeds data feed appears as follows:
Uploading Schedule: To ensure analysts are informed about current and upcoming week's news, events are uploaded one week in advance.
This approach is vital for preparing for potential market impacts across various asset classes and currencies, allowing visibility of an entire week's news ahead of Time.
Data Scraping:
Unfortunately Forex Factory doesn't offer an API to fetch their news feed.
Hence an ad hoc python scraper was developed to read and save news events from January 2007 till the present leveraging Selenium. The scraper algorithm is part of a larger script responsible for scraping data, formatting data, and creating all necessary datasets.
The pseudo-code for the python script is as follows:
Read and save news event data on Forex Factory
Format day of the week, currency, Time of the day, and impact data for the Encoding
Encode and save News Event IDs – Event ID dataset is created
Format news data for Pine Seeds (roll-back date by one week, assign news to open, high, low, close, and volume values)
Create Pine Seeds Datasets
This script is ran everyday at Futures market close (16:00 EST) to update the last part of the each dataset, ensuring accuracy, and taking into account last-minute news additions or revisions.
Once the data (next week's news) is imported by the Live Economic Calendar indicator, it's immediately decoded by leveraging the Forex Factory Decoding Library , and saved into an array.
Upon a new week open, the decoded data is used to plot news events on the chart and in the news table.
See the inner workings of these processes in the Forex Factory Utility Library .
Although these libraries are specifically built for this indicator, feel free to use them to create your own scripts. Looking forward to see what the Pine Script community comes up with!
Thank you for making it this far. Enjoy!
Ciao,
toodegrees
This tool is available ONLY on the TradingView platform.
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Supertrend Advance Pullback StrategyHandbook for the Supertrend Advance Strategy
1. Introduction
Purpose of the Handbook:
The main purpose of this handbook is to serve as a comprehensive guide for traders and investors who are looking to explore and harness the potential of the Supertrend Advance Strategy. In the rapidly changing financial market, having the right tools and strategies at one's disposal is crucial. Whether you're a beginner hoping to dive into the world of trading or a seasoned investor aiming to optimize and diversify your portfolio, this handbook offers the insights and methodologies you need. By the end of this guide, readers should have a clear understanding of how the Supertrend Advance Strategy works, its benefits, potential pitfalls, and practical application in various trading scenarios.
Overview of the Supertrend Advance Pullback Strategy:
At its core, the Supertrend Advance Strategy is an evolution of the popular Supertrend Indicator. Designed to generate buy and sell signals in trending markets, the Supertrend Indicator has been a favorite tool for many traders around the world. The Advance Strategy, however, builds upon this foundation by introducing enhanced mechanisms, filters, and methodologies to increase precision and reduce false signals.
1. Basic Concept:
The Supertrend Advance Strategy relies on a combination of price action and volatility to determine the potential trend direction. By assessing the average true range (ATR) in conjunction with specific price points, this strategy aims to highlight the potential starting and ending points of market trends.
2. Methodology:
Unlike the traditional Supertrend Indicator, which primarily focuses on closing prices and ATR, the Advance Strategy integrates other critical market variables, such as volume, momentum oscillators, and perhaps even fundamental data, to validate its signals. This multidimensional approach ensures that the generated signals are more reliable and are less prone to market noise.
3. Benefits:
One of the main benefits of the Supertrend Advance Strategy is its ability to filter out false breakouts and minor price fluctuations, which can often lead to premature exits or entries in the market. By waiting for a confluence of factors to align, traders using this advanced strategy can increase their chances of entering or exiting trades at optimal points.
4. Practical Applications:
The Supertrend Advance Strategy can be applied across various timeframes, from intraday trading to swing trading and even long-term investment scenarios. Furthermore, its flexible nature allows it to be tailored to different asset classes, be it stocks, commodities, forex, or cryptocurrencies.
In the subsequent sections of this handbook, we will delve deeper into the intricacies of this strategy, offering step-by-step guidelines on its application, case studies, and tips for maximizing its efficacy in the volatile world of trading.
As you journey through this handbook, we encourage you to approach the Supertrend Advance Strategy with an open mind, testing and tweaking it as per your personal trading style and risk appetite. The ultimate goal is not just to provide you with a new tool but to empower you with a holistic strategy that can enhance your trading endeavors.
2. Getting Started
Navigating the financial markets can be a daunting task without the right tools. This section is dedicated to helping you set up the Supertrend Advance Strategy on one of the most popular charting platforms, TradingView. By following the steps below, you'll be able to integrate this strategy into your charts and start leveraging its insights in no time.
Setting up on TradingView:
TradingView is a web-based platform that offers a wide range of charting tools, social networking, and market data. Before you can apply the Supertrend Advance Strategy, you'll first need a TradingView account. If you haven't set one up yet, here's how:
1. Account Creation:
• Visit TradingView's official website.
• Click on the "Join for free" or "Sign up" button.
• Follow the registration process, providing the necessary details and setting up your login credentials.
2. Navigating the Dashboard:
• Once logged in, you'll be taken to your dashboard. Here, you'll see a variety of tools, including watchlists, alerts, and the main charting window.
• To begin charting, type in the name or ticker of the asset you're interested in the search bar at the top.
3. Configuring Chart Settings:
• Before integrating the Supertrend Advance Strategy, familiarize yourself with the chart settings. This can be accessed by clicking the 'gear' icon on the top right of the chart window.
• Adjust the chart type, time intervals, and other display settings to your preference.
Integrating the Strategy into a Chart:
Now that you're set up on TradingView, it's time to integrate the Supertrend Advance Strategy.
1. Accessing the Pine Script Editor:
• Located at the top-center of your screen, you'll find the "Pine Editor" tab. Click on it.
• This is where custom strategies and indicators are scripted or imported.
2. Loading the Supertrend Advance Strategy Script:
• Depending on whether you have the script or need to find it, there are two paths:
• If you have the script: Copy the Supertrend Advance Strategy script, and then paste it into the Pine Editor.
• If searching for the script: Click on the “Indicators” icon (looks like a flame) at the top of your screen, and then type “Supertrend Advance Strategy” in the search bar. If available, it will show up in the list. Simply click to add it to your chart.
3. Applying the Strategy:
• After pasting or selecting the Supertrend Advance Strategy in the Pine Editor, click on the “Add to Chart” button located at the top of the editor. This will overlay the strategy onto your main chart window.
4. Configuring Strategy Settings:
• Once the strategy is on your chart, you'll notice a small settings ('gear') icon next to its name in the top-left of the chart window. Click on this to access settings.
• Here, you can adjust various parameters of the Supertrend Advance Strategy to better fit your trading style or the specific asset you're analyzing.
5. Interpreting Signals:
• With the strategy applied, you'll now see buy/sell signals represented on your chart. Take time to familiarize yourself with how these look and behave over various timeframes and market conditions.
3. Strategy Overview
What is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is a refined version of the classic Supertrend Indicator, which was developed to aid traders in spotting market trends. The strategy utilizes a combination of data points, including average true range (ATR) and price momentum, to generate buy and sell signals.
In essence, the Supertrend Advance Strategy can be visualized as a line that moves with the price. When the price is above the Supertrend line, it indicates an uptrend and suggests a potential buy position. Conversely, when the price is below the Supertrend line, it hints at a downtrend, suggesting a potential selling point.
Strategy Goals and Objectives:
1. Trend Identification: At the core of the Supertrend Advance Strategy is the goal to efficiently and consistently identify prevailing market trends. By recognizing these trends, traders can position themselves to capitalize on price movements in their favor.
2. Reducing Noise: Financial markets are often inundated with 'noise' - short-term price fluctuations that can mislead traders. The Supertrend Advance Strategy aims to filter out this noise, allowing for clearer decision-making.
3. Enhancing Risk Management: With clear buy and sell signals, traders can set more precise stop-loss and take-profit points. This leads to better risk management and potentially improved profitability.
4. Versatility: While primarily used for trend identification, the strategy can be integrated with other technical tools and indicators to create a comprehensive trading system.
Type of Assets/Markets to Apply the Strategy:
1. Equities: The Supertrend Advance Strategy is highly popular among stock traders. Its ability to capture long-term trends makes it particularly useful for those trading individual stocks or equity indices.
2. Forex: Given the 24-hour nature of the Forex market and its propensity for trends, the Supertrend Advance Strategy is a valuable tool for currency traders.
3. Commodities: Whether it's gold, oil, or agricultural products, commodities often move in extended trends. The strategy can help in identifying and capitalizing on these movements.
4. Cryptocurrencies: The volatile nature of cryptocurrencies means they can have pronounced trends. The Supertrend Advance Strategy can aid crypto traders in navigating these often tumultuous waters.
5. Futures & Options: Traders and investors in derivative markets can utilize the strategy to make more informed decisions about contract entries and exits.
It's important to note that while the Supertrend Advance Strategy can be applied across various assets and markets, its effectiveness might vary based on market conditions, timeframe, and the specific characteristics of the asset in question. As always, it's recommended to use the strategy in conjunction with other analytical tools and to backtest its effectiveness in specific scenarios before committing to trades.
4. Input Settings
Understanding and correctly configuring input settings is crucial for optimizing the Supertrend Advance Strategy for any specific market or asset. These settings, when tweaked correctly, can drastically impact the strategy's performance.
Grouping Inputs:
Before diving into individual input settings, it's important to group similar inputs. Grouping can simplify the user interface, making it easier to adjust settings related to a specific function or indicator.
Strategy Choice:
This input allows traders to select from various strategies that incorporate the Supertrend indicator. Options might include "Supertrend with RSI," "Supertrend with MACD," etc. By choosing a strategy, the associated input settings for that strategy become available.
Supertrend Settings:
1. Multiplier: Typically, a default value of 3 is used. This multiplier is used in the ATR calculation. Increasing it makes the Supertrend line further from prices, while decreasing it brings the line closer.
2. Period: The number of bars used in the ATR calculation. A common default is 7.
EMA Settings (Exponential Moving Average):
1. Period: Defines the number of previous bars used to calculate the EMA. Common periods are 9, 21, 50, and 200.
2. Source: Allows traders to choose which price (Open, Close, High, Low) to use in the EMA calculation.
RSI Settings (Relative Strength Index):
1. Length: Determines how many periods are used for RSI calculation. The standard setting is 14.
2. Overbought Level: The threshold at which the asset is considered overbought, typically set at 70.
3. Oversold Level: The threshold at which the asset is considered oversold, often at 30.
MACD Settings (Moving Average Convergence Divergence):
1. Short Period: The shorter EMA, usually set to 12.
2. Long Period: The longer EMA, commonly set to 26.
3. Signal Period: Defines the EMA of the MACD line, typically set at 9.
CCI Settings (Commodity Channel Index):
1. Period: The number of bars used in the CCI calculation, often set to 20.
2. Overbought Level: Typically set at +100, denoting overbought conditions.
3. Oversold Level: Usually set at -100, indicating oversold conditions.
SL/TP Settings (Stop Loss/Take Profit):
1. SL Multiplier: Defines the multiplier for the average true range (ATR) to set the stop loss.
2. TP Multiplier: Defines the multiplier for the average true range (ATR) to set the take profit.
Filtering Conditions:
This section allows traders to set conditions to filter out certain signals. For example, one might only want to take buy signals when the RSI is below 30, ensuring they buy during oversold conditions.
Trade Direction and Backtest Period:
1. Trade Direction: Allows traders to specify whether they want to take long trades, short trades, or both.
2. Backtest Period: Specifies the time range for backtesting the strategy. Traders can choose from options like 'Last 6 months,' 'Last 1 year,' etc.
It's essential to remember that while default settings are provided for many of these tools, optimal settings can vary based on the market, timeframe, and trading style. Always backtest new settings on historical data to gauge their potential efficacy.
5. Understanding Strategy Conditions
Developing an understanding of the conditions set within a trading strategy is essential for traders to maximize its potential. Here, we delve deep into the logic behind these conditions, using the Supertrend Advance Strategy as our focal point.
Basic Logic Behind Conditions:
Every strategy is built around a set of conditions that provide buy or sell signals. The conditions are based on mathematical or statistical methods and are rooted in the study of historical price data. The fundamental idea is to recognize patterns or behaviors that have been profitable in the past and might be profitable in the future.
Buy and Sell Conditions:
1. Buy Conditions: Usually formulated around bullish signals or indicators suggesting upward price momentum.
2. Sell Conditions: Centered on bearish signals or indicators indicating downward price momentum.
Simple Strategy:
The simple strategy could involve using just the Supertrend indicator. Here:
• Buy: When price closes above the Supertrend line.
• Sell: When price closes below the Supertrend line.
Pullback Strategy:
This strategy capitalizes on price retracements:
• Buy: When the price retraces to the Supertrend line after a bullish signal and is supported by another bullish indicator.
• Sell: When the price retraces to the Supertrend line after a bearish signal and is confirmed by another bearish indicator.
Indicators Used:
EMA (Exponential Moving Average):
• Logic: EMA gives more weight to recent prices, making it more responsive to current price movements. A shorter-period EMA crossing above a longer-period EMA can be a bullish sign, while the opposite is bearish.
RSI (Relative Strength Index):
• Logic: RSI measures the magnitude of recent price changes to analyze overbought or oversold conditions. Values above 70 are typically considered overbought, and values below 30 are considered oversold.
MACD (Moving Average Convergence Divergence):
• Logic: MACD assesses the relationship between two EMAs of a security’s price. The MACD line crossing above the signal line can be a bullish signal, while crossing below can be bearish.
CCI (Commodity Channel Index):
• Logic: CCI compares a security's average price change with its average price variation. A CCI value above +100 may mean the price is overbought, while below -100 might signify an oversold condition.
And others...
As the strategy expands or contracts, more indicators might be added or removed. The crucial point is to understand the core logic behind each, ensuring they align with the strategy's objectives.
Logic Behind Each Indicator:
1. EMA: Emphasizes recent price movements; provides dynamic support and resistance levels.
2. RSI: Indicates overbought and oversold conditions based on recent price changes.
3. MACD: Showcases momentum and direction of a trend by comparing two EMAs.
4. CCI: Measures the difference between a security's price change and its average price change.
Understanding strategy conditions is not just about knowing when to buy or sell but also about comprehending the underlying market dynamics that those conditions represent. As you familiarize yourself with each condition and indicator, you'll be better prepared to adapt and evolve with the ever-changing financial markets.
6. Trade Execution and Management
Trade execution and management are crucial aspects of any trading strategy. Efficient execution can significantly impact profitability, while effective management can preserve capital during adverse market conditions. In this section, we'll explore the nuances of position entry, exit strategies, and various Stop Loss (SL) and Take Profit (TP) methodologies within the Supertrend Advance Strategy.
Position Entry:
Effective trade entry revolves around:
1. Timing: Enter at a point where the risk-reward ratio is favorable. This often corresponds to confirmatory signals from multiple indicators.
2. Volume Analysis: Ensure there's adequate volume to support the movement. Volume can validate the strength of a signal.
3. Confirmation: Use multiple indicators or chart patterns to confirm the entry point. For instance, a buy signal from the Supertrend indicator can be confirmed with a bullish MACD crossover.
Position Exit Strategies:
A successful exit strategy will lock in profits and minimize losses. Here are some strategies:
1. Fixed Time Exit: Exiting after a predetermined period.
2. Percentage-based Profit Target: Exiting after a certain percentage gain.
3. Indicator-based Exit: Exiting when an indicator gives an opposing signal.
Percentage-based SL/TP:
• Stop Loss (SL): Set a fixed percentage below the entry price to limit potential losses.
• Example: A 2% SL on an entry at $100 would trigger a sell at $98.
• Take Profit (TP): Set a fixed percentage above the entry price to lock in gains.
• Example: A 5% TP on an entry at $100 would trigger a sell at $105.
Supertrend-based SL/TP:
• Stop Loss (SL): Position the SL at the Supertrend line. If the price breaches this line, it could indicate a trend reversal.
• Take Profit (TP): One could set the TP at a point where the Supertrend line flattens or turns, indicating a possible slowdown in momentum.
Swing high/low-based SL/TP:
• Stop Loss (SL): For a long position, set the SL just below the recent swing low. For a short position, set it just above the recent swing high.
• Take Profit (TP): For a long position, set the TP near a recent swing high or resistance. For a short position, near a swing low or support.
And other methods...
1. Trailing Stop Loss: This dynamic SL adjusts with the price movement, locking in profits as the trade moves in your favor.
2. Multiple Take Profits: Divide the position into segments and set multiple TP levels, securing profits in stages.
3. Opposite Signal Exit: Exit when another reliable indicator gives an opposite signal.
Trade execution and management are as much an art as they are a science. They require a blend of analytical skill, discipline, and intuition. Regularly reviewing and refining your strategies, especially in light of changing market conditions, is crucial to maintaining consistent trading performance.
7. Visual Representations
Visual tools are essential for traders, as they simplify complex data into an easily interpretable format. Properly analyzing and understanding the plots on a chart can provide actionable insights and a more intuitive grasp of market conditions. In this section, we’ll delve into various visual representations used in the Supertrend Advance Strategy and their significance.
Understanding Plots on the Chart:
Charts are the primary visual aids for traders. The arrangement of data points, lines, and colors on them tell a story about the market's past, present, and potential future moves.
1. Data Points: These represent individual price actions over a specific timeframe. For instance, a daily chart will have data points showing the opening, closing, high, and low prices for each day.
2. Colors: Used to indicate the nature of price movement. Commonly, green is used for bullish (upward) moves and red for bearish (downward) moves.
Trend Lines:
Trend lines are straight lines drawn on a chart that connect a series of price points. Their significance:
1. Uptrend Line: Drawn along the lows, representing support. A break below might indicate a trend reversal.
2. Downtrend Line: Drawn along the highs, indicating resistance. A break above might suggest the start of a bullish trend.
Filled Areas:
These represent a range between two values on a chart, usually shaded or colored. For instance:
1. Bollinger Bands: The area between the upper and lower band is filled, giving a visual representation of volatility.
2. Volume Profile: Can show a filled area representing the amount of trading activity at different price levels.
Stop Loss and Take Profit Lines:
These are horizontal lines representing pre-determined exit points for trades.
1. Stop Loss Line: Indicates the level at which a trade will be automatically closed to limit losses. Positioned according to the trader's risk tolerance.
2. Take Profit Line: Denotes the target level to lock in profits. Set according to potential resistance (for long trades) or support (for short trades) or other technical factors.
Trailing Stop Lines:
A trailing stop is a dynamic form of stop loss that moves with the price. On a chart:
1. For Long Trades: Starts below the entry price and moves up with the price but remains static if the price falls, ensuring profits are locked in.
2. For Short Trades: Starts above the entry price and moves down with the price but remains static if the price rises.
Visual representations offer traders a clear, organized view of market dynamics. Familiarity with these tools ensures that traders can quickly and accurately interpret chart data, leading to more informed decision-making. Always ensure that the visual aids used resonate with your trading style and strategy for the best results.
8. Backtesting
Backtesting is a fundamental process in strategy development, enabling traders to evaluate the efficacy of their strategy using historical data. It provides a snapshot of how the strategy would have performed in past market conditions, offering insights into its potential strengths and vulnerabilities. In this section, we'll explore the intricacies of setting up and analyzing backtest results and the caveats one must be aware of.
Setting Up Backtest Period:
1. Duration: Determine the timeframe for the backtest. It should be long enough to capture various market conditions (bullish, bearish, sideways). For instance, if you're testing a daily strategy, consider a period of several years.
2. Data Quality: Ensure the data source is reliable, offering high-resolution and clean data. This is vital to get accurate backtest results.
3. Segmentation: Instead of a continuous period, sometimes it's helpful to backtest over distinct market phases, like a particular bear or bull market, to see how the strategy holds up in different environments.
Analyzing Backtest Results:
1. Performance Metrics: Examine metrics like the total return, annualized return, maximum drawdown, Sharpe ratio, and others to gauge the strategy's efficiency.
2. Win Rate: It's the ratio of winning trades to total trades. A high win rate doesn't always signify a good strategy; it should be evaluated in conjunction with other metrics.
3. Risk/Reward: Understand the average profit versus the average loss per trade. A strategy might have a low win rate but still be profitable if the average gain far exceeds the average loss.
4. Drawdown Analysis: Review the periods of losses the strategy could incur and how long it takes, on average, to recover.
9. Tips and Best Practices
Successful trading requires more than just knowing how a strategy works. It necessitates an understanding of when to apply it, how to adjust it to varying market conditions, and the wisdom to recognize and avoid common pitfalls. This section offers insightful tips and best practices to enhance the application of the Supertrend Advance Strategy.
When to Use the Strategy:
1. Market Conditions: Ideally, employ the Supertrend Advance Strategy during trending market conditions. This strategy thrives when there are clear upward or downward trends. It might be less effective during consolidative or sideways markets.
2. News Events: Be cautious around significant news events, as they can cause extreme volatility. It might be wise to avoid trading immediately before and after high-impact news.
3. Liquidity: Ensure you are trading in assets/markets with sufficient liquidity. High liquidity ensures that the price movements are more reflective of genuine market sentiment and not due to thin volume.
Adjusting Settings for Different Markets/Timeframes:
1. Markets: Each market (stocks, forex, commodities) has its own characteristics. It's essential to adjust the strategy's parameters to align with the market's volatility and liquidity.
2. Timeframes: Shorter timeframes (like 1-minute or 5-minute charts) tend to have more noise. You might need to adjust the settings to filter out false signals. Conversely, for longer timeframes (like daily or weekly charts), you might need to be more responsive to genuine trend changes.
3. Customization: Regularly review and tweak the strategy's settings. Periodic adjustments can ensure the strategy remains optimized for the current market conditions.
10. Frequently Asked Questions (FAQs)
Given the complexities and nuances of the Supertrend Advance Strategy, it's only natural for traders, both new and seasoned, to have questions. This section addresses some of the most commonly asked questions regarding the strategy.
1. What exactly is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is an evolved version of the traditional Supertrend indicator. It's designed to provide clearer buy and sell signals by incorporating additional indicators like EMA, RSI, MACD, CCI, etc. The strategy aims to capitalize on market trends while minimizing false signals.
2. Can I use the Supertrend Advance Strategy for all asset types?
Yes, the strategy can be applied to various asset types like stocks, forex, commodities, and cryptocurrencies. However, it's crucial to adjust the settings accordingly to suit the specific characteristics and volatility of each asset type.
3. Is this strategy suitable for day trading?
Absolutely! The Supertrend Advance Strategy can be adjusted to suit various timeframes, making it versatile for both day trading and long-term trading. Remember to fine-tune the settings to align with the timeframe you're trading on.
4. How do I deal with false signals?
No strategy is immune to false signals. However, by combining the Supertrend with other indicators and adhering to strict risk management protocols, you can minimize the impact of false signals. Always use stop-loss orders and consider filtering trades with additional confirmation signals.
5. Do I need any prior trading experience to use this strategy?
While the Supertrend Advance Strategy is designed to be user-friendly, having a foundational understanding of trading and market analysis can greatly enhance your ability to employ the strategy effectively. If you're a beginner, consider pairing the strategy with further education and practice on demo accounts.
6. How often should I review and adjust the strategy settings?
There's no one-size-fits-all answer. Some traders adjust settings weekly, while others might do it monthly. The key is to remain responsive to changing market conditions. Regular backtesting can give insights into potential required adjustments.
7. Can the Supertrend Advance Strategy be automated?
Yes, many traders use algorithmic trading platforms to automate their strategies, including the Supertrend Advance Strategy. However, always monitor automated systems regularly to ensure they're operating as intended.
8. Are there any markets or conditions where the strategy shouldn't be used?
The strategy might generate more false signals in markets that are consolidative or range-bound. During significant news events or times of unexpected high volatility, it's advisable to tread with caution or stay out of the market.
9. How important is backtesting with this strategy?
Backtesting is crucial as it allows traders to understand how the strategy would have performed in the past, offering insights into potential profitability and areas of improvement. Always backtest any new setting or tweak before applying it to live trades.
10. What if the strategy isn't working for me?
No strategy guarantees consistent profits. If it's not working for you, consider reviewing your settings, seeking expert advice, or complementing the Supertrend Advance Strategy with other analysis methods. Remember, continuous learning and adaptation are the keys to trading success.
Other comments
Value of combining several indicators in this script and how they work together
Diversification of Signals: Just as diversifying an investment portfolio can reduce risk, using multiple indicators can offer varied perspectives on potential price movements. Each indicator can capture a different facet of the market, ensuring that traders are not overly reliant on a single data point.
Confirmation & Reduced False Signals: A common challenge with many indicators is the potential for false signals. By requiring confirmation from multiple indicators before acting, the chances of acting on a false signal can be significantly reduced.
Flexibility Across Market Conditions: Different indicators might perform better under different market conditions. For example, while moving averages might excel in trending markets, oscillators like RSI might be more useful during sideways or range-bound conditions. A mashup strategy can potentially adapt better to varying market scenarios.
Comprehensive Analysis: With multiple indicators, traders can gauge trend strength, momentum, volatility, and potential market reversals all at once, providing a holistic view of the market.
How do the different indicators in the Supertrend Advance Strategy work together?
Supertrend: This is primarily a trend-following indicator. It provides traders with buy and sell signals based on the volatility of the price. When combined with other indicators, it can filter out noise and give more weight to strong, confirmed trends.
EMA (Exponential Moving Average): EMA gives more weight to recent price data. It can be used to identify the direction and strength of a trend. When the price is above the EMA, it's generally considered bullish, and vice versa.
RSI (Relative Strength Index): An oscillator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. By cross-referencing with other indicators like EMA or MACD, traders can spot potential reversals or confirmations of a trend.
MACD (Moving Average Convergence Divergence): This indicator identifies changes in the strength, direction, momentum, and duration of a trend in a stock's price. When the MACD line crosses above the signal line, it can be a bullish sign, and when it crosses below, it can be bearish. Pairing MACD with Supertrend can provide dual confirmation of a trend.
CCI (Commodity Channel Index): Initially developed for commodities, CCI can indicate overbought or oversold conditions. It can be used in conjunction with other indicators to determine entry and exit points.
In essence, the synergy of these indicators provides a balanced, comprehensive approach to trading. Each indicator offers its unique lens into market conditions, and when they align, it can be a powerful indication of a trading opportunity. This combination not only reduces the potential drawbacks of each individual indicator but leverages their strengths, aiming for more consistent and informed trading decisions.
Backtesting and Default Settings
• This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts.
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
• Default properties: RSI on (length 14, RSI buy level 50, sell level 50), EMA, RSI, MACD on, type of strategy pullback, SL/TP type: ATR (length 10, factor 3), trade direction both, quantity 5, take profit swing hl 5.1, highest / lowest lookback 2, enable ATR trail (ATR length 10, SL ATR multiplier 1.4, TP multiplier 2.1, lookback = 4, trade direction = both).
Sector relative strength and correlation by KaschkoThis script provides a quick overview of the relative strength and correlation of the symbols in a sector by showing a line chart of the close prices on a percent scale with all symbols starting at zero at the left side of the chart. It allows a great deal of flexibility in the configuration of the sectors and symbols in it. The standard preset sectors cover the most important futures markets and their symbols.
However, up to ten sectors with up to ten symbols each can be freely configured. Each sector is defined by a single line that has the following format:
Sector name:Symbol suffix:List of comma separated symbols
For example, the first predefined sector is defined as follows.
Energies:1!:CL,HO,NG,RB
1. The name of the sector is "Energies"
2. The suffix is "1!", i.e., to each symbol in the list "1!" is appended to get the continous future for the given symbol root. When using stock, forex or other symbols, simply leave the suffix empty.
3. The list of comma separated symbols is "CL,HO,NG,RB", i.e. crude oil, heating oil, natural gas and gasoline. As the suffix is "1!", the actual symbols whose prices are shown are "CL1!","HO1!","NG1!" and "RB1!"
You can choose to use settlement-as-close and back-adjusted contracts. The sector can also be determined automatically ("Auto-select"). In this case, it is determined to which sector the symbol currently displayed in the main chart belongs and the script displays it in the context of the other symbols in the sector.
By selecting a suitable chart time frame and time range, you can quickly determine which symbols in the sector are stronger or weaker and which are more or less strongly correlated.
The following symbols are best suited for a quick trial, as the sectors are preset for these:
CL1!,ES1!,6A1!,6B1!,6c1!,6E1!,6J1!,6M1!,6N1!,6S1!,GC1!,GF1!,HE1!,HG1!,HO1!,LBR1!,LE1!,NG1!,NQ1!,PA1!,PL1!,RB1!,SI1!,YM1!,ZB1!,ZC1!,ZF1!,ZL1!,ZM1!,ZN1!,ZO1!,ZR1!,ZS1!,ZT1!,ZW1!,CC1!,CT1!,DX1!,KC1!,OJ1!,SB1!,RTY1!
You can also use the script to compare any symbols (e.g. different shares) with each other. Preferably use the "Custom" sector for this.
