Uptrick: Adaptive Trend Strength Index (ATSI)### **Adaptive Trend Strength Index (ATSI): Trend Detection Tool**
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### Introduction
The **Adaptive Trend Strength Index (ATSI)** is a state-of-the-art indicator designed to offer traders an unparalleled view into market trends. By combining the principles of adaptive trend analysis with advanced volatility filtering, ATSI provides a powerful and visually intuitive method for identifying and following market trends. Its unique algorithm and customizable features make it an essential tool for traders across all markets—whether you're trading stocks, forex, commodities, or cryptocurrencies.
### The Purpose and Design Philosophy
At its core, the ATSI was built with the understanding that financial markets are dynamic, ever-changing entities influenced by a multitude of factors, including market sentiment, economic data, geopolitical events, and, critically, volatility. Traditional trend indicators often fall short by either over-smoothing price data (thus lagging behind the actual trend) or reacting too quickly to minor price fluctuations, resulting in false signals.
**ATSI solves this dilemma by adapting to market conditions in real-time.** It effectively filters out market noise while being sensitive enough to detect meaningful shifts in trend direction. The result is a trend line that is both responsive and smooth, providing traders with a clear, actionable view of the market's current trajectory.
### Key Features and Functionality
#### 1. **Adaptive Trend Calculation**
The heart of ATSI is its adaptive trend algorithm, which adjusts based on market conditions. It leverages a combination of price action analysis and volatility filtering to determine the strength and direction of the trend. Here’s how it works:
- **Volatility Sensitivity:** ATSI incorporates the Average True Range (ATR) to measure market volatility. This volatility measure is then adjusted by a user-defined sensitivity factor. This ensures that the indicator responds dynamically to different market environments—be it high-volatility breakouts or low-volatility consolidations.
- **Adaptive Smoothing:** The trend calculation is further enhanced by an exponential moving average (EMA) applied not just to the raw price data, but also to the resulting trend line itself. This dual-layer smoothing process helps to eliminate noise, resulting in a cleaner and more reliable trend line.
- **Real-Time Adaptation:** Unlike rigid indicators that require constant tweaking to stay relevant in changing market conditions, ATSI adapts in real-time. This adaptability makes it particularly valuable in fast-moving markets where conditions can change rapidly.
#### 2. **Visual Clarity**
In trading, visual clarity can make the difference between spotting a lucrative trend and missing out. ATSI excels in this regard by offering a clear, color-coded trend line that provides instant feedback on market conditions:
- **Thicker and Smoother Line:** ATSI’s trend line is designed to be visually prominent. By default, it is thicker than most standard indicators, making it easy to spot even in dense charts. Additionally, the smoothing applied to the line ensures that it flows smoothly, avoiding the jagged, noisy appearance that can plague other indicators.
- **Color-Coded Trends:** The trend line changes color based on the direction and strength of the trend:
- **Green Line**: Indicates a bullish trend, suggesting upward momentum in the market.
- **Red Line**: Indicates a bearish trend, signaling downward momentum.
- **Gold Line**: Represents a neutral or weak trend, where the market is consolidating or where there is no clear direction.
This color-coding is not just for aesthetics—it’s a critical feature that allows traders to quickly assess market conditions at a glance.
#### 3. **Customizable Parameters**
ATSI is built with the understanding that every trader’s strategy is unique. Whether you’re a day trader looking for short-term trends or a swing trader interested in catching longer moves, ATSI can be tailored to fit your needs:
- **Trend Length:** The length parameter controls how much historical data is considered in the trend calculation. A shorter length will make the indicator more sensitive to recent price changes, while a longer length will smooth out short-term fluctuations, focusing on the broader trend.
- **Smoothing Factor:** This parameter controls the level of smoothing applied to the trend line. A higher smoothing factor will result in a smoother, more stable trend line, while a lower factor will make the line more responsive to quick changes in price.
- **Volatility Sensitivity:** By adjusting the volatility sensitivity, you can control how reactive the indicator is to market volatility. A higher sensitivity makes the indicator more likely to detect trends in volatile markets, while a lower sensitivity helps to filter out noise in calmer markets.
- **Line Width:** ATSI allows you to adjust the thickness of the trend line, ensuring that it stands out on your chart. This is particularly useful when trading on charts with a lot of overlays or when you need a clear, bold line to guide your trading decisions.
- **Color Customization:** The colors for bullish, bearish, and neutral trends can be fully customized to match your personal preferences or to integrate seamlessly with your existing chart setup.
### Practical Applications
ATSI is a versatile indicator that can be applied to a wide range of trading strategies. Here’s how it can enhance your trading:
#### 1. **Trend Following**
For traders who thrive on catching and riding trends, ATSI is a game-changer. Its adaptive nature ensures that you stay in the trend for as long as possible without being shaken out by minor fluctuations. The clear color-coded line makes it easy to identify when a trend starts and ends, providing clear entry and exit signals.
#### 2. **Risk Management**
One of the biggest challenges in trading is managing risk, particularly in volatile markets. ATSI’s volatility sensitivity feature helps traders adjust their strategies based on current market conditions. For example, in a high-volatility environment, the indicator will become more sensitive, allowing you to tighten your stop losses or take profits earlier. Conversely, in a low-volatility market, the indicator will smooth out minor fluctuations, reducing the risk of being stopped out prematurely.
#### 3. **Trend Reversals and Consolidations**
ATSI is also highly effective in identifying trend reversals and periods of consolidation. The neutral (gold) line indicates periods where the market is undecided, which can often precede significant moves. Recognizing these periods can help you avoid getting caught in choppy markets and position yourself for the next big move.
#### 4. **Market Timing**
Timing the market is often seen as the holy grail of trading. While no indicator can predict the future with 100% accuracy, ATSI’s real-time adaptation gives you a significant edge. By responding to changes in market conditions as they happen, ATSI helps you make timely decisions, whether you’re entering a trade, exiting a position, or adjusting your risk parameters.
### Comparative Advantage
What sets ATSI apart from other trend indicators is its combination of adaptability, visual clarity, and ease of use:
- **Adaptability:** Most trend indicators are static—they apply the same calculations regardless of market conditions. ATSI, however, adapts to the market in real-time, ensuring that it remains relevant and reliable across different market environments.
- **Visual Clarity:** The thicker, smoother, color-coded line is not just aesthetically pleasing—it’s a functional design choice that helps you quickly interpret market conditions. Whether you’re glancing at your chart or conducting an in-depth analysis, the ATSI line stands out, providing immediate insight.
- **Ease of Use:** Despite its advanced features, ATSI is incredibly easy to use. The default settings are optimized for general use, but the indicator offers a high degree of customization for those who want to tailor it to their specific trading strategy.
### Conclusion
The **Adaptive Trend Strength Index (ATSI)** is more than just another trend indicator—it’s a comprehensive tool designed to give traders an edge in today’s fast-paced, volatile markets. By combining adaptive trend analysis with advanced volatility filtering, ATSI offers a unique blend of responsiveness and reliability. Its clear, color-coded visual representation of trends makes it easy to use, even for traders who are new to technical analysis, while its customizable parameters provide the flexibility that experienced traders demand.
Whether you’re looking to ride the next big trend, manage your risk more effectively, or simply get a clearer picture of the market’s current direction, ATSI is an invaluable addition to your trading toolkit. With its cutting-edge design and powerful functionality, ATSI is poised to become the go-to indicator for traders seeking to enhance their market analysis and improve their trading outcomes.
חפש סקריפטים עבור "demand"
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit
The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system.
This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit.
Swing failure patterns help traders identify potential entry points and rejection zones based on price swings.
Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics.
🔵 FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
🔵 BASIC DEMONSTRATION OF ALL FEATURES
1. MARKET STRUCTURE
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
➤ Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
➤ Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
➤ Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
➤ Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions.
➤ Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends.
➤ Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure.
2. VOLUMETRIC ORDER BLOCKS
Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone.
Additionally, these order blocks can be transformed into Breaker Blocks. When an order block fails—meaning the price breaks through this zone without reversing—it becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout.
Here's a breakdown:
➤ Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again.
➤ Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again.
These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure.
➤ Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure.
➤ A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish.
Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers.
3. FAIR VALUE GAPS:
A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies.
FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals.
Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG.
4. SWING FAILURE PATTERN (SFP):
The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions.
SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction.
How it works:
Pattern Detection: The indicator scans for price movements that breach recent highs or lows.
Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP.
➤ SFP Display:
Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards.
Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards.
➤ Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation:
For bullish SFPs, the deviation line appears above the current price.
For bearish SFPs, the deviation line appears below the current price.
These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum.
With Volume Threshold and Filtering of SFP traders can adjust their trading style:
Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity.
SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as:
5. LIQUIDITY CONCEPTS:
➤ Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading.
EQL: A series of two or more swing lows that occur at approximately the same price level.
EQH: A series of two or more swing highs that occur at approximately the same price level.
EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades.
This multi-period feature allows traders to select less and more significant EQL and EQH:
➤ Liquidity wicks:
Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point:
➤ Buy and Sell side liquidity:
The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders.
The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed.
➤ Sweep Liquidation Zones:
Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities.
🔵 USAGE & EXAMPLES
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
MS + OBs
The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum.
The combination of these elements—bullish order blocks, SFP, and CHoCH—creates a powerful bullish signal, reinforcing the potential for upward movement in the market.
SFP + Bear OB
This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside.
Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern:
BUY – SELL sides + EQL
The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher.
The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout.
EQL + Bull ChoCh
This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals.
Liquidity grab + Bull ChoCh + FVGs
This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one.
As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher.
The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone.
In this examples, we see how the combination of multiple “smart money” tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinations—such as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)—can also be layered on top of these concepts to further refine your trading strategy.
🔵 SETTINGS
Window: limit calculation period
Swing: limit drawing function
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick - avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal H&L: (short-mid-long term) display longer term
Liquidity Prints: Shows wicks of candles where liquidity was grabbed
Sweep Area: Identify Sweep Liquidation areas
By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
Curious Buy - Sell Indicator - Institutional Zones (Smart Money)How the Script Works:
1. The Scripts identifies Institutional Demand , Supply & Neutral Zones with FIBS on the scripts with Rectangle BOX with labels in advance. User can insert desired start and end value to plot institutional zones
2. Script generates BUY - SELL signals shape based on candle stick formation in live market and labels with BUY - SELL image for easy identification
3. Script gives pop message EXIT SHORT once Buy spotted and candle close above the buy signal and same way EXIT LONG once Sell spotted and candle close below the buy signal
4. Scripts identifies the candle closing above the BUY - SELL signals Eg - If buy spotted the candle closing above the BUY signal with display with BLUE color Candle same way for sell signal the candle closing below the sell signal candle with display with BLACK color candle.
5. Script spots fake signals which are not valid and can be ignored by the end user
6. Three EMA's 20,50,200 has implemented to identify the strength of the market
7. Scripts identifies OPEN = LOW & OPEN = HIGH candle stick to spot the Institutional BUY - SELL activity
8. The script provides visual clues on the chart to help users identify potential trading opportunities.
9. The script provides visual clues on the chart to help users identity potential trading opportunities in live market
10. The looks and parameters of the script can be modified by end user to customize and adapt to different strategy.
11. With the script user can check higher time frame DAILY \ WEEKLY BUY - SELL signals to plan intraday trades and plan safe BUY - SELL positions.
How Users Can Make Profit Using This Script:
1. Identify potential BUY - LONG opportunities: When a valid BUY is detected and condition is met, it is suggested to opening BUY position with stoploss below the BUY signal spotted candle.
Safe users can execute BUY position once BLUE COLOR candle is formed, Wait for pull back to reduce the stoploss
2. Identify potential SELL - SHORT opportunities: When a valid SELL is detected and condition is met, it suggests a potential opening SELL positions with stoploss above the BUY signal spotted candle. Safe users can execute SELL position once BLACK COLOR candle is formed, Wait for pull back to reduce the stoploss.
3. Script generated BUY - SELL signal met target with the Institutional zone. Eg if BUY spotted at demand zone target will be neutral zone & Supply zone.
4. Script designed for user to spot high probability trades when BUY SIGNAL SPOTTED at the Institutional Demand zone same way SELL SIGNAL SPOTTED AT INSTITUTIONAL supply zone.
5. Combine with additional analysis: Users can utilize this script as a tool in their overall trading strategy. They can combine the signals with fundament analysis , market sentiment to make more informed trading decision
6.Set risk management measures: It is important for users to implement proper risk management strategies when trading based on the scripts signals. To avoid potential losses user once spotted BUY - SELL execute the long or short position. Ensure to place the stoploss to avoid potential losses and place the target. Once your trade is moving in your favor
can trial your stoploss to cost and protect the profits.
Money Flow Profile [Angel Algo]Money Flow Profile
Overview
This indicator is designed to analyze trading activity and identify key supply and demand zones using volume and money flow data. It is an advanced tool for traders who want to incorporate volume profile analysis into their trading strategy, enhancing their ability to spot potential reversal zones and understand market sentiment.
Features
1. Customizable Lookback Period
Description: Users can specify the number of bars to consider in the volume profile calculation, allowing for flexible analysis over different periods.
Functionality: This setting adjusts the depth of historical data analyzed, enabling traders to tailor the indicator to various trading styles and timeframes.
2. Row Size Configuration
Description: This input determines the number of rows (or price levels) displayed in the volume profile.
Functionality: By adjusting the row size, traders can get a more granular or more generalized view of trading activity at different price levels.
3. Data Source Selection
Options: Volume, Money Flow
Description: Traders can choose between using traditional volume data or money flow for the volume profile calculation.
Functionality: Money flow incorporates both price and volume to give a more comprehensive view of market buying and selling pressure, while volume focuses solely on trading activity.
Volume:
Money Flow:
4. Color Gradient for Volume Intensity
Description: The script allows setting maximum and minimum colors to create a gradient that visually represents the intensity of trading activity.
Functionality: This visual aid helps traders quickly identify areas of high and low trading activity, enhancing the interpretability of the volume profile.
Advanced Analysis: Supply and Demand Zones
1. Sentiment Analysis-Based Zoning
Description: The script analyzes the volume profile bars above and below the current close price to detect zones with significant buying or selling pressure.
Methodology:
Supply Zones: Identified by analyzing bars above the current close and finding the area with the highest selling pressure, indicated by volume delta.
Demand Zones: Identified by analyzing bars below the current close and finding the area with the highest buying pressure.
2. Volume Delta Calculation
Description: Volume delta, the difference between buy and sell volumes, is used to gauge the strength of buying or selling pressure at each price level.
Functionality: This calculation helps pinpoint the most significant supply and demand zones, providing traders with potential entry and exit points based on market sentiment.
Usage Scenario
This indicator is particularly useful for traders who focus on intraday trading, swing trading, or any strategy that benefits from understanding volume dynamics and sentiment at specific price levels. It allows traders to visually assess which levels are likely to act as resistance or support, based on historical trading activity and current market sentiment.
Conclusion
By integrating both traditional and innovative analytical methods, this Indicator offers a powerful tool for market analysis. Its flexibility and depth provide traders with valuable insights into market dynamics.
Fair Value Gaps Setup 01 [TradingFinder] FVG Absorption + CHoCH🔵 Introduction
🟣 Market Structures
Market structures exhibit a fractal and nested nature, which leads us to classify them into internal (minor) and external (major) categories. Definitions of market structure vary, with different methodologies such as Smart Money and ICT offering distinct interpretations.
To identify market structure, the initial step involves examining key highs and lows. An uptrend is characterized by successive highs and lows that are higher than their predecessors. Conversely, a downtrend is marked by successive lows and highs that are lower than their previous counterparts.
🟣 Market Trends and Movements
Market trends consist of two primary types of movements :
Impulsive Movements : These movements align with the main trend and are characterized by high strength and momentum.
Corrective Movements : These movements counter the main trend and are marked by lower strength and momentum.
🟣 Break of Structure (BOS)
In a downtrend, a Break of Structure (BOS) occurs when the price falls below the previous low and establishes a new low (LL). In an uptrend, a BOS, also known as a Market Structure Break (MSB), happens when the price rises above the last high.
To confirm a trend, at least one BOS is necessary, which requires the price to close at least one candle beyond the previous high or low.
🟣 Change of Character (CHOCH)
Change of Character (CHOCH) is a crucial concept in market structure analysis, indicating a shift in trend. A trend concludes with a CHOCH, also referred to as a Market Structure Shift (MSS).
For example, in a downtrend, the price continues to drop with BOS, showcasing the trend's strength. However, when the price rises and exceeds the last high, a CHOCH occurs, signaling a potential transition from a downtrend to an uptrend.
It is essential to note that a CHOCH does not immediately indicate a buy trade. Instead, it is prudent to wait for a BOS in the upward direction to confirm the uptrend. Unlike BOS, a CHOCH confirmation does not require a candle to close; merely breaking the previous high or low with the candle's wick is sufficient.
🟣 Spike | Inefficiency | Imbalance
All these terms mean fast price movement in the shortest possible time.
🟣 Fair Value Gap (FVG)
To pinpoint the "Fair Value Gap" (FVG) on a chart, a detailed candle-by-candle analysis is necessary. This process involves focusing on candles with substantial bodies and evaluating them in relation to the candles immediately before and after them.
Here are the steps :
Identify the Central Candle : Look for a candle with a large body.
Examine Adjacent Candles : The candles before and after this central candle should have long shadows, and their bodies must not overlap with the body of the central candle.
Determine the FVG Range : The distance between the shadows of the first and third candles defines the FVG range.
This method helps in accurately identifying the Fair Value Gap, which is crucial for understanding market inefficiencies and potential price movements.
🟣 Setup
This setup is based on Market Structure and FVG. After a change of character and the formation of FVG in the last lag of the price movement, we are looking for trading positions in the price pullback.
Bullish Setup :
Bearish Setup :
🔵 How to Use
After forming the setup, you can enter the trade using a pending order or after receiving confirmation. To increase the probability of success, you can adjust the pivot period market structure settings or modify the market movement coefficient in the formation leg of the FVG.
Bullish Setup :
Bearish Setup :
🔵 Setting
Pivot Period of Market Structure Detector :
This parameter allows you to configure the zigzag period based on pivots. Adjusting this helps in accurately detecting order blocks.
Show major Bullish ChoCh Lines :
You can toggle the visibility of the Demand Main Zone and "ChoCh" Origin, and customize their color as needed.
Show major Bearish ChoCh Lines :
Similar to the Demand Main Zone, you can control the visibility and color of the Supply Main Zone and "ChoCh" Origin.
FVG Detector Multiplier Factor :
This feature lets you adjust the size of the moves forming the Fair Value Gaps (FVGs) using the Average True Range (ATR). The default value is 1, suitable for identifying most setups. Adjust this value based on the specific symbol and market for optimal results.
FVG Validity Period :
This parameter defines the validity period of an FVG in terms of the number of candles. By default, an FVG remains valid for up to 15 candles, but you can adjust this period as needed.
Mitigation Level FVG :
This setting establishes the basic level of an FVG. When the price reaches this level, the FVG is considered mitigated.
Level in Low-Risk Zone :
This feature aims to reduce risk by dividing the FVG into two equal areas: "Premium" (upper area) and "Discount" (lower area). For lower risk, ensure that "Demand FVG" is in the "Discount" area and "Supply FVG" in the "Premium" area. This feature is off by default.
Show or Hide :
Given the potential abundance of setups, displaying all on the chart can be overwhelming. By default, only the last setup is shown, but you can enable the option to view all setups.
Alert Settings :
On / Off : Toggle alerts on or off.
Message Frequency : Determine how often alerts are triggered.
Options include :
"All" (alerts every time the function is called)
"Once Per Bar" (alerts only on the first call within the bar)
"Once Per Bar Close" (alerts only at the last script execution of the real-time bar upon closing)
The default setting is "Once Per Bar".
Show Alert Time by Time Zone : Set the alert time based on your preferred time zone, such as "UTC-4" for New York time. The default is "UTC".
Display More Info : Optionally show additional details like the price range of the order blocks and the date, hour, and minute in the alert message. Set this to "Off" if you prefer not to receive this information.
ICT Immediate Rebalance Toolkit [LuxAlgo]The ICT Immediate Rebalance Toolkit is a comprehensive suite of tools crafted to aid traders in pinpointing crucial trading zones and patterns within the market.
The ICT Immediate Rebalance, although frequently overlooked, emerges as one of ICT's most influential concepts, particularly when considered within a specific context. The toolkit integrates commonly used price action tools to be utilized in conjunction with the Immediate Rebalance patterns, enriching the capacity to discern context for improved trading decisions.
The ICT Immediate Rebalance Toolkit encompasses the following Price Action components:
ICT Immediate Rebalance
Buyside/Sellside Liquidity
Order Blocks & Breaker Blocks
Liquidity Voids
ICT Macros
🔶 USAGE
🔹 ICT Immediate Rebalance
What is an Immediate Rebalance?
Immediate rebalances, a concept taught by ICT, hold significant importance in decision-making. To comprehend the concept of immediate rebalance, it's essential to grasp the notion of the fair value gap. A fair value gap arises from market inefficiencies or imbalances, whereas an immediate rebalance leaves no gap, no inefficiencies, or no imbalances that the price would need to return to.
Rule of Thumb
After an immediate rebalance, the expectation is for two extension candles to follow; otherwise, the immediate rebalance is considered failed. It's important to highlight that both failed and successful immediate rebalances, when considered within a context, are significant signatures in trading.
Immediate rebalances can occur anywhere and in any timeframe.
🔹 Buyside/Sellside Liquidity
In the context of Inner Circle Trader's teachings, liquidity primarily refers to the presence of stop losses or pending orders, that indicate concentrations of buy or sell orders at specific price levels. Institutional traders, like banks and large financial entities, frequently aim for these liquidity levels or pools to accumulate or distribute their positions.
Buyside liquidity denotes a chart level where short sellers typically position their stops, while Sellside liquidity indicates a level where long-biased traders usually place their stops. These zones often serve as support or resistance levels, presenting potential trading opportunities.
The presentation applied here is the multi-timeframe version of our previously published Buyside-Sellside-Liquidity script.
🔹 Order Blocks & Breaker Blocks
Order Blocks and Breaker Blocks hold significant importance in technical analysis and play a crucial role in shaping market behavior.
Order blocks are fundamental elements of price action analysis used by traders to identify key levels in the market where significant buying or selling activity has occurred. These blocks represent areas on a price chart where institutional traders, banks, or large market participants have placed substantial buy or sell orders, leading to a temporary imbalance in supply and demand.
Breaker blocks, also known as liquidity clusters or pools, complement order blocks by identifying zones where liquidity is concentrated on the price chart. These areas, formed from mitigated order blocks, often act as significant barriers to price movement, potentially leading to price stalls or reversals in the future.
🔹 Liquidity Voids
Liquidity voids are sudden price changes when the price jumps from one level to another. Liquidity voids will appear as a single or a group of candles that are all positioned in the same direction. These candles typically have large real bodies and very short wicks, suggesting very little disagreement between buyers and sellers.
Here is our previously released Liquidity-Voids script.
🔹 ICT Macros
In the context of ICT's teachings, a macro is a small program or set of instructions that unfolds within an algorithm, which influences price movements in the market. These macros operate at specific times and can be related to price runs from one level to another or certain market behaviors during specific time intervals. They help traders anticipate market movements and potential setups during specific time intervals.
Here is our previously released ICT-Macros script.
🔶 SETTINGS
🔹 Immediate Rebalances
Immediate Rebalances: toggles the visibility of the detected immediate rebalance patterns.
Bullish, and Bearish Immediate Rebalances: color customization options.
Wicks 75%, %50, and %25: color customization options of the wick price levels for the detected immediate rebalance.
Ignore Price Gaps: ignores price gaps during calculation.
Confirmation (Bars): specifies the number of bars required to confirm the validation of the detected immediate rebalance.
Immediate Rebalance Icon: allows customization of the size of the icon used to represent the immediate rebalance.
🔹 Buyside/Sellside Liquidity
Buyside/Sellside Liquidity: toggles the visibility of the buy-side/sell-side liquidity levels.
Timeframe: this option is to identify liquidity levels from higher timeframes. If a timeframe lower than the chart's timeframe is selected, calculations will be based on the chart's timeframe.
Detection Length: lookback period used for the detection.
Margin: sets margin/sensitivity for the liquidity levels.
Buyside/Sellside Liquidity Color: color customization option for buy-side/sell-side liquidity levels.
Visible Liquidity Levels: allows customization of the visible buy-side/sell-side liquidity levels.
🔹 Order Blocks & Breaker Blocks
Order Blocks: toggles the visibility of the order blocks.
Breaker Blocks: toggles the visibility of the 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 the closing price or the 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.
Order Blocks: Bullish, Bearish Color: color customization option for order blocks.
Breaker Blocks: Bullish, Bearish Color: color customization option for breaker blocks.
Visible Order & Breaker Blocks: allows customization of the visible order & breaker blocks.
Show Order Blocks & Breaker Blocks Labels: toggles the visibility of the order blocks & breaker blocks labels.
🔹 Liquidity Voids
Liquidity Voids: toggles the visibility of the liquidity voids.
Liquidity Voids Width Filter: filtering threshold while detecting liquidity voids.
Ignore Price Gaps: ignores price gaps during calculation.
Remove Mitigated Liquidity Voids: remove mitigated liquidity voids.
Bullish, Bearish, and Mitigated Liquidity Voids: color customization option..
Liquidity Void Labels: toggles the visibility of the liquidity voids labels.
🔹 ICT Macros
London and New York (AM, Launch, and PM): toggles the visibility of specific macros, allowing users to customize macro colors.
Macro Top/Bottom Lines, Extend: toggles the visibility of the macro's pivot high/low lines and allows users to extend the pivot lines.
Macro Mean Line: toggles the visibility of the macro's mean (average) line.
Macro Labels: toggles the visibility of the macro labels, allowing customization of the label size.
🔶 RELATED SCRIPTS
ICT-Killzones-Toolkit
Smart-Money-Concepts
Thanks to our community for recommending this script. For more conceptual scripts and related content, we welcome you to explore by visiting >>> LuxAlgo-Scripts .
Juice LevelsSupply and Demand Key Levels
These levels encompass key price points derived from various timeframes, providing crucial insights into market dynamics and potential trading opportunities. These levels include daily, prior day, day before yesterday, weekly, prior weekly, monthly, and prior monthly levels.
Daily, Prior Day, Day Before Yesterday Levels
Offer intraday reference points and historical context for analyzing short-term price movements.
Weekly, Prior Weekly Levels
Provide insights into longer-term trends and potential areas of price consolidation or breakout over a one-week timeframe.
Monthly, Prior Monthly Levels
Offer significant insights into macroeconomic trends and investor sentiment over longer timeframes, spanning one month.
Equilibrium Levels
Indicate points where supply and demand are relatively balanced, often serving as pivot points for price movements.
Supply and Demand Zones
Highlight areas on a price chart where significant buying or selling pressure is expected, aiding traders in identifying potential reversal or breakout zones.
These levels and zones are essential tools for traders to analyze market sentiment, identify support and resistance levels, and make informed trading decisions across various timeframes.
Premium Imbalance FinderIntroducing the Premium Imbalances Indicator, a powerful tool designed help traders identify and analyze market imbalances. This advanced indicator offers a comprehensive suite of features to enhance your trading experience and provide valuable insights into market dynamics.
Key Features:
Fair Value Gap (FVG): Identify price ranges where the market has not achieved fair value, indicating potential imbalances and trading opportunities.
Balanced Price Range (BPR): Visualize price ranges where the market has found a balance between supply and demand.
Volume Imbalance: Detect areas of significant volume imbalance, highlighting the absence of body volume and potential market inefficiencies.
Opening Gap: Identify un-offered price ranges at the opening of a trading session, providing insights into potential market direction.
Customizable Display: Adjust the display limit to control the number of imbalance boxes visible on the chart, ensuring a clutter-free and focused view.
Mitigation Analysis: Set a mitigation level to determine when an imbalance has been mitigated and track the percentage of mitigation for each imbalance.
Higher Timeframe Analysis: Enable the HTF Imbalance feature to analyze imbalances on higher timeframes, providing a broader perspective on market structure.
Customizable Appearance: Personalize the colors of imbalance boxes, premium zones, and mid-lines to suit your visual preferences and easily distinguish between bullish and bearish imbalances.
Flexible Imbalance Extension: Choose between custom, current, or extended imbalance box display to adapt to your trading style and analysis requirements.
Detailed Tooltips: Hover over imbalance labels to view the percentage of mitigation for each imbalance, providing quick and easy access to crucial information.
The Premium Imbalances Indicator is suitable for traders of all levels, from beginners to experienced professionals, and can be used across various markets and timeframes.
By utilizing this powerful tool, traders can gain a deeper understanding of market dynamics, identify potential trading opportunities, and make more informed decisions based on the analysis of imbalances. The indicator's customizable features and detailed insights make it an essential addition to any trader's toolkit.
Order Block Refiner [TradingFinder]🔵 Introduction
The "Refinement" feature allows you to adjust the width of the order block according to your strategy. There are two modes, "Aggressive" and "Defensive," in the "Order Block Refine". The difference between "Aggressive" and "Defensive" lies in the width of the order block.
For risk-averse traders, the "Defensive" mode is suitable as it provides a lower loss limit and a greater reward-to-risk ratio. For risk-taking traders, the "Aggressive" mode is more appropriate. These traders prefer to enter trades at higher prices, and this mode, which has a wider order block width, is more suitable for this group of individuals.
Important :
One of the advantages of using this library is increased code accuracy. Not only does it have the capability to create order blocks, but you can also simply define the condition for order block creation (true/false) and "bar_index," and you'll find the primary range without applying any filters.
🟣 Order Block Refinement Algorithm
The order block ranges are filtered in two stages. In the first stage, the "Open," "High," "Low," and "Close" of the current order block candle, its two or three previous candles, and one subsequent candle (if available) are examined. In this stage, minimum and maximum distances are calculated, and logical range filters are applied.
In the second stage, two modes, "Aggressive" and "Defensive," are calculated.
For the "Defensive" mode, the width of these ranges is compared with the "ATR" (Average True Range) of period 55, and if they are smaller than "ATR" or 1 to more than 4 times "ATR," the width of the range is reduced from 0 to 80 percent.
For the "Aggressive" mode, you get the same output as the first filter, which usually has a wider width than the "Defensive" mode.
• Order Block Refiner : Off
• Order Block Refiner : On / "Aggressive Mode"
• Order Block Refiner : On / "Defensive Mode"
🔵 How to Use
OBRefiner(string OBType, string OBRefine, string RefineMethod, bool TriggerCondition, int Index) =>
Parameters:
• OBType (string)
• OBRefine (string)
• RefineMethod (string)
• TriggerCondition (bool)
• Index (int)
To add "Order Block Refiner Library", you must first add the following code to your script.
import TFlab/OrderBlockRefiner_TradingFinder/1
OBType : This parameter receives 2 inputs. If the order block you want to "Refine" is of type demand, you should enter "Demand," and if it's of type supply, you should enter "Supply."
OBRefine : Set to "On" if you want the "Refine" operation to be performed. Otherwise, set to "Off."
RefineMethod : This input receives 2 modes, "Aggressive" and "Defensive." You can switch between these modes according to your needs.
TriggerCondition : Enter the condition with which the order block is formed in this parameter.
Index : Enter the "bar_index" of the candle where the order block is formed in this parameter.
🟣 Function Outputs
This function has 6 outputs: "bar_index" at the beginning of the "Distal" line, "bar_index+1" at the end of the "Distal" line, "Price" at the "Distal" line, "bar_index" at the beginning of the "Proximal" line, "bar_index+1" at the end of the "Proximal" line, and "Price" at the "Proximal" line, which can be used to draw order blocks.
Sample :
= Refiner.OBRefiner('Demand', 'Off', 'Aggressive',BuMChMain_Trigger, BuMChMain_Index)
if BuMChMain_Trigger
BuMChHlineMain := line.new(BuMChMain_Xp1 , BuMChMain_Yp12 , bar_index , BuMChMain_Yp12, color = color.black , style = line.style_dotted)
BuMChLlineMain := line.new(BuMChMain_Xd1 , BuMChMain_Yd12 , bar_index , BuMChMain_Yd12, color = color.black , style = line.style_dotted)
BuMChFilineMain := linefill.new(BuMChHlineMain ,BuMChLlineMain , color = color.rgb(76, 175, 80 , 75 ) )
Order Blocks Indicator [TradingFinder] Lightning|CHOCH |OB | BOS🔵 Introduction
In "Price Action," an "Order Block" is essentially an area on the price chart where significant players such as institutional traders have executed their moves by placing noteworthy orders. These points often indicate areas where price either attempts to break through (resistance) or returns when it reaches there (support).
Therefore, when discussing the identification of order blocks, we typically refer to finding points where the price has stalled for a while and has accumulated strength before making a significant move in one direction.
Essentially, order blocks assist traders in understanding where large players with "smart money" have likely placed their bulk orders in the market. Traders use these order blocks as part of their overall analysis to identify probable levels where price may change direction.
This version of the order block indicator is designed for traders, adding many indicators to their charts. The minimal design helps minimize disruptions to user focus.
🔵 Identification of Order Blocks
To identify order blocks, first, a "Level Break" must occur. To identify a "Demand Zone," a "High Level Break" is required, and to identify a "Supply Zone," a "Low Level Break" is needed.
Demand Zone :
Supply Zone :
🔵 "Change of Character" or "Market Shift Structure"
"ChoCh" or "MSS" is the "Break Level" that is contrary to the previous trend. For example, if a "Bearish Level" is established in the market and consecutive "Low Levels" are being broken, the price turns upward, breaking a "High Level." This break is called "ChoCh" or "MSS."
🔵 "Break of Structure"
"Break of Structure," or "BoS" for short, is the "Break Level" in the direction of the current trend. For example, if a "Bullish Level" is established in the market, when the price breaks a "High Level," a "BoS" has occurred.
🔵 Features
🟣 Major Level
This feature helps you easily identify major levels. These levels form when the price breaks another major level.
🟣 Refine Order Block
The "Refinement" feature allows you to adjust the width of the order block based on your strategy. There are two modes, "Aggressive" and "Defensive," in Order Block Refine. The difference between "Aggressive" and "Defensive" lies in the width of the order block. For "Risk Averse" traders, the "Defensive" mode is suitable because it provides smaller stop losses and larger reward-to-risk ratios. For "Risk Taker" traders, the "Aggressive" mode is more suitable. These traders prefer to enter trades at higher prices and this mode, where the width of the order block is greater, is more suitable for this group of individuals.
🔵 How to Use
After adding the indicator to your chart, you will see a visual similar to the image below. Green order blocks are "Demand Zones" and red order blocks are "Supply Zones." The midpoint of the order blocks also indicates 50% of it.
Refine Order Block is defaulted to On and refines the order blocks. If you want the order blocks to remain original, you should set it to Off.
Refine is defaulted to "Defensive" mode. If you want it to be in "Aggressive" mode, you should change its mode through Refine Type.
Displaying "Major Levels" is turned off by default and to display them, you should set "Show High Level" and "Show Low Level" to "Yes." You can use these lines to identify liquidity or determine stop loss and take profit levels.
Composite Trend Oscillator [ChartPrime]CODE DUELLO:
Have you ever stopped to wonder what the underlying filters contained within complex algorithms are actually providing for you? Wouldn't it be nice to actually visually inspect for that? Those would require some kind of wild west styled quick draw duel or some comparison method as a proper 'code duello'. Then it can be determined which filter can 'draw' the quickest from it's computational holster with the least amount of lag and smoothness.
In Pine we can do so, discovering how beneficial that would be. This can be accomplished by quickly switching from one filter to another by input() back and forth, requiring visual memory. A better way could be done by placing two indicators added to the chart and then eventually placed into one indicator pane on top of each other.
By adding a filter() helper function that calls other moving average functions chosen for comparison, it can put to the test which moving average is the best drawing filter suited to our expected needs. PhiSmoother was formerly debuted and now it is utilized in a more complex environment in a multitude of ways along side other commonly utilized filters. Now, you the reader, get to judge for yourself...
FILTER VERSATILITY:
Having the capability to adjust between various smoothing methods such as PhiSmoother, TEMA, DEMA, WMA, EMA, and SMA on historical market data within the code provides an advantage. Each of these filter methods offers distinct advantages and hinderances. PhiSmoother stands out often by having superb noise rejection, while also being able to manipulate the fine-tuning of the phase or lag of the indicator, enhancing responsiveness to price movements.
The following are more well-known classic filters. TEMA (Triple Exponential Moving Average) and DEMA (Double Exponential Moving Average) offer reduced transient response times to price changes fluctuations. WMA (Weighted Moving Average) assigns more weight to recent data points, making it particularly useful for reduced lag. EMA (Exponential Moving Average) strikes a balance between responsiveness and computational efficiency, making it a popular choice. SMA (Simple Moving Average) provides a straightforward calculation based on the arithmetic mean of the data. VWMA and RMA have both been excluded for varying reasons, both being unworthy of having explanation here.
By allowing for adjustment refinements between these filter methods, traders may garner the flexibility to adapt their analysis to different market dynamics, optimizing their algorithms for improved decision-making and performance on demand.
INDICATOR INTRODUCTION:
ChartPrime's Composite Trend Oscillator operates as an oscillator based on the concept of a moving average ribbon. It utilizes up to 32 filters with progressively longer periods to assess trend direction and strength. Embedded within this indicator is an alternative view that utilizes the separation of the ribbon filaments to assess volatility. Both versions are excellent candidates for trend and momentum, both offering visualization of polarity, directional coloring, and filter crossings. Anyone who has former experience using RSI or stochastics may have ease of understanding applying this to their chart.
COMPOSITE CLUSTER MODES EXPLAINED:
In Trend Strength mode, the oscillator behavior signifies market direction and movement strength. When the oscillator is rising and above zero, the market is within a bullish phase, and visa versa. If the signal filter crosses the composite trend, this indicates a potential dynamic shift signaling a possible reversal. When the oscillator is teetering on its extremities, the market is more inclined to reverse later.
With Volatility mode, the oscillator undergoes a transformation, displaying an unbounded oscillator driven by market volatility. While it still employs the same scoring mechanism, it is now scaled according to the strength of the market move. This can aid with identification of ranging scenarios. However, one side effect is that the oscillator no longer has minimum or maximum boundaries. This can still be advantageous when considering divergences.
NOTEWORTHY SETTINGS FEATURES:
The following input settings described offer comprehensive control over the indicator's behavior and visualization.
Common Controls:
Price Source Selection - The indicator offers flexibility in choosing the price source for analysis. Traders can select from multiple options.
Composite Cluster Mode - Choose between "Trend Strength" and "Volatility" modes, providing insights into trend directionality or volatility weighting.
Cluster Filter and Length - Selects a filter for the cluster composition. This includes a length parameter adjustment.
Cluster Options:
Cluster Dispersion - Users can adjust the separation between moving averages in the cluster, influencing the sensitivity of the analysis.
Cluster Trimming - By modifying upper and lower trim parameters, traders can adjust the sensitivity of the moving averages within the cluster, enhancing its adaptability.
PostSmooth Filter and Length - Choose a filter to refine the composite cluster's post-smoothing with a length parameter adjustment.
Signal Filter and Length - Users can select a filter for the lagging signal plot, also having a length parameter adjustment.
Transition Easing - Sensitivity adjustment to influence the transition between bullish and bearish colors.
Enjoy
Market Health MonitorThe Market Health Monitor is a comprehensive tool designed to assess and visualize the economic health of a market, providing traders with vital insights into both current and future market conditions. This script integrates a range of critical economic indicators, including unemployment rates, inflation, Federal Reserve funds rates, consumer confidence, and housing market indices, to form a robust understanding of the overall economic landscape.
Drawing on a variety of data sources, the Market Health Monitor employs moving averages over periods of 3, 12, 36, and 120 months, corresponding to quarterly, annual, three-year, and ten-year economic cycles. This selection of timeframes is specifically chosen to capture the nuances of economic movements across different phases, providing a balanced view that is sensitive to both immediate changes and long-term trends.
Key Features:
Economic Indicators Integration: The script synthesizes crucial economic data such as unemployment rates, inflation levels, and housing market trends, offering a multi-dimensional perspective on market health.
Adaptability to Market Conditions: The inclusion of both short-term and long-term moving averages allows the Market Health Monitor to adapt to varying market conditions, making it a versatile tool for different trading strategies.
Oscillator Thresholds for Recession and Growth: The script sets specific thresholds that, when crossed, indicate either potential economic downturns (recessions) or periods of growth (expansions), allowing traders to anticipate and react to changing market conditions proactively.
Color-Coded Visualization: The Market Health Monitor employs a color-coding system for ease of interpretation:
-- A red background signals unhealthy economic conditions, cautioning traders about potential risks.
-- A bright red background indicates a confirmed recession, as declared by the NBER, signaling a critical time for traders to reassess risk exposure.
-- A green background suggests a healthy market with expected economic expansion, pointing towards growth-oriented opportunities.
Comprehensive Market Analysis: By combining various economic indicators, the script offers a holistic view of the market, enabling traders to make well-informed decisions based on a thorough understanding of the economic environment.
Key Criteria and Parameters:
Economic Indicators:
Labor Market: The unemployment rate is a critical indicator of economic health.
High or rising unemployment indicates reduced consumer spending and economic stress.
Inflation: Key for understanding monetary policy and consumer purchasing power.
Persistent high inflation can lead to economic instability, while deflation can signal weak
demand.
Monetary Policy: Reflected by the Federal Reserve funds rate.
Changes in the rate can influence economic activity, borrowing costs, and investor
sentiment.
Consumer Confidence: A predictor of consumer spending and economic activity.
Reflects the public’s perception of the economy
Housing Market: The housing market often leads the economy into recession and recovery.
Weakness here can signal broader economic problems.
Market Data:
Stock Market Indices: Reflect overall investor sentiment and economic
expectations. No gains in a stock market could potentially indicate that economy is
slowing down.
Credit Conditions: Indicated by the tightness of bank lending, signaling risk
perception.
Commodity Insight:
Crude Oil Prices: A proxy for global economic activity.
Indicator Timeframe:
A default monthly timeframe is chosen to align with the release frequency of many economic indicators, offering a balanced view between timely data and avoiding too much noise from short-term fluctuations. Surely, it can be chosen by trader / analyst.
The Market Health Monitor is more than just a trading tool—it's a comprehensive economic guide. It's designed for traders who value an in-depth understanding of the economic climate. By offering insights into both current conditions and future trends, it encourages traders to navigate the markets with confidence, whether through turbulent times or in periods of growth. This tool doesn't just help you follow the market—it helps you understand it.
Volume Heatmap 2024 | NXT2017 Christmas EditionHi big players around the world,
I wish you a merry christmas time.
Today I have a nice present for you: a new volume heatmap indicator for free using!
HISTORY
My first volume heatmap project got a lot of feedback and a big demand. You can find it here:
In this time pinescript version 4 was the newest one and I worked the first time with arrays.
Today we have pinescript version 5 and some new features. This is why I tried again with matrix function and the results are better than I expected.
HOW IT WORKS
The indicator calculates similar like the volume profile. It looks back and every volume where the close price is on the same row area, the volume will cumulated. How much rows the new chart view is showing, you can choose manually.
The mind behind this is to find high volume levels, where high volume catch the price in a range or get function as support/resistance line.
PICTURES
I hope it helps for your trading. You are welcome to give some comments.
Merry christmas and best regards
NXT2017
Support & Resistance IndicatorThe MACD Support & Resistance indicator is an enhanced tool to better visualize potential supply (resistance) and demand (support) zones based on the MACD indicator. It combines the strength of the MACD with recent price highs and lows to depict potential breakout or reversal areas in the market.
Features:
MACD Settings: Users can adjust the fast length, slow length, source of MACD, signal smoothing, and MA type for both the oscillator and the signal line.
Dynamic Color Settings: Customize the color of supply boxes, demand boxes, and closed boxes for improved visualization.
Table View: An optional table can be displayed showing the average MACD high and low values, with customizable table position, size, background color, and text color.
Historical MACD Average: The indicator uses a historical average of MACD pivot highs and lows to determine potential support and resistance zones.
Real-Time Zone Detection: The indicator plots 'High Boxes' when the MACD crosses above its average high and 'Low Boxes' when it crosses below its average low, which signifies potential breakout or reversal zones.
How It Works:
The MACD line is calculated using user-defined moving average types (either EMA or SMA).
Pivot highs and pivot lows of the MACD are identified over a specified period.
Historical MACD highs and lows are stored and managed for average calculation. The average MACD high and low values are then used to determine potential trading zones.
When the MACD crosses over its average high, a 'High Box' (representing a potential breakout zone) is plotted from the recent high price to the candle top.
Conversely, when the MACD crosses under its average low, a 'Low Box' (indicating a potential reversal zone) is plotted from the recent low price to the candle base.
As price progresses, the boxes can either extend (if price stays within the zone) or close if a breakout happens.
For those who prefer a tabular view, an optional table displays the average MACD high and low, enhancing the on-chart data representation.
Use Cases:
Traders can use this indicator as an additional tool to spot potential breakout or reversal areas based on the MACD's behavior against its historical average. The visual representation in the form of boxes can assist in making better trading decisions by offering a clear picture of potential supply and demand zones.
Note: As with all trading indicators, it's advisable to use this tool in conjunction with other technical analysis methods or indicators for more informed decision-making.
Bitcoin Limited Growth ModelThe Bitcoin Limeted Growth is a model proposed by QuantMario that offers an alternative approach to estimating Bitcoin's price based on the Stock-to-Flow (S2F) ratio. This model takes into account the limitations of the traditional S2F model and introduces refinements to enhance its analysis.
The S2F model is commonly used to analyze Bitcoin's price by considering the scarcity of the asset, measured by the stock (existing supply) relative to the flow (new supply). However, the LGS-S2F Bitcoin Price Formula recognizes the need for improvements and presents an updated perspective on Bitcoin's price dynamics.
Invalidation of the Normal S2F Model:
The normal S2F model has faced criticisms and challenges. One of the limitations is its assumption of a linear relationship between the S2F ratio and Bitcoin's price, overlooking potential nonlinearities and other market dynamics. Additionally, the normal S2F model does not account for external influences, such as market sentiment, regulatory developments, and technological advancements, which can significantly impact Bitcoin's price.
Addressing the Issues:
The LGS-S2F Bitcoin Price Formula introduces refinements to address the limitations of the traditional S2F model. These refinements aim to provide a more comprehensive analysis of Bitcoin's price dynamics:
Nonlinearity: The LGS-S2F model recognizes that the relationship between the S2F ratio and Bitcoin's price may not be linear. It incorporates a logistic growth function that considers the diminishing returns of scarcity and the saturation of market demand.
Data Analysis: The LGS-S2F model employs statistical analysis and data-driven techniques to validate its predictions. It leverages historical data and econometric modeling to support its analysis of Bitcoin's price.
Utility:
The LGS-S2F Bitcoin Price Formula offers insights for traders and investors in the cryptocurrency market. By incorporating a more refined approach to analyzing Bitcoin's price, this model provides an alternative perspective. It allows market participants to consider various factors beyond the S2F ratio alone, potentially aiding in their decision-making processes.
Key Features:
Adjustable Coefficients
Sigma calculation methods: Normal or Stdev
Credit:
The LGS-S2F Bitcoin Price Formula was developed by QuantMario, who has contributed to the field of cryptocurrency analysis through their research and modeling efforts.
Swing Volume Profiles [LuxAlgo]The Swing Volume Profiles indicator aims to calculate and highlight trading activity at specific price levels between two swing points; allowing traders to reveal dominant and/or significant price levels based on volume.
By measuring traded volume at all price levels in the market over a specified time period, the script can also be used to detect some key analysis generally such as supply & demand, buy-side & sell-side liquidity levels, unfilled liquidity voids, and imbalances that can highlight on the chart.
🔶 USAGE
A volume profile is an advanced charting tool that displays the traded volume at different price levels over a specific period. It helps you visualize where the majority of trading activity has occurred.
Key Levels are the areas where the volume is concentrated or where there are significant volume spikes. These levels are known as key support and resistance levels. High-volume nodes indicate areas of high activity and are likely to act as support or resistance in the future.
Volume profile also helps identify value areas, which represent the price levels where the most trading activity has taken place. These levels can act as areas of support or resistance as traders perceive them as fair value.
The Point of Control describes the price level where the most volume was traded. A Naked Point of Control (also called a Virgin Point of Control) is a previous POC that has not been traded. Extending PoC options 'Until Bar Cross' or 'Until Bar Touch' helps in identifying Naked Point of Control Lines.
Previous PoC levels can serve as support and resistance for future price movements. Extending PoC Level 'Until Last Bar' option will help to identify such levels.
🔶 DETAILS
One of the unique features of the script is its ability to detect some other key levels such as levels of acceptance and rejection.
Levels of rejection we may summarize as supply and demand levels, these are also referred to as buy-side and sell-side liquidity levels. They usually occur at extreme highs or lows, where prices may be too high for buyers (high supply, low demand) or too low for sellers (low supply, high demand)
Levels of acceptance are the levels where Liquidity Voids occur, these are also referred to imbalances. Liquidity voids are sudden changes in price when the price jumps from one level to another. The peculiar thing about liquidity voids is that they almost always fill up, so we call them levels of acceptance.
🔶 ALERTS
When an alert is configured, the user will have the ability to be notified in case:
Point Of Control Line is touched/crossed
Value Area High Line is touched/crossed
Value Area Low Line is touched/crossed
🔶 SETTINGS
🔹 Display Options
Mode: Controls the lookback length of detection and visualization, where Present assumes last X bars specifid in '# Bars' option and Historical assumes all data available to the user as well as allowed limits of visiual objects (boxs, lines, labels etc)
# Bars: Controls the lookback length.
🔹 Swing Volume Profiles
The script takes into account user-defined parameters and plots volume profiles. Due to Pine Script™ drwaing objects limit only total volume profiles are presented.
Swing Detection Length: Lookback period
Swing Volume Profiles: Toggles the visibility of the Volume Profiles, with color options to differentiate the Value Area within a profile.
Profile Range Background Fill: Toggles the visibility of the Volume Profiles Range
🔹 Point of Control (PoC)
Point of Control (POC) – The price level for the time period with the highest traded volume
Point of Control (PoC): Toggles the visibility of the Point of Control
Developing PoC: Toggles the visibility of the Developing PoC
Extend PoC: Option that allows detecting virgin PoC levels. Virgin Point of Control (VPoC) is defined as a Point of Control that has never been revisited or touched. The option also allows PoC levels to extend till the last bar aiming to present levels from history where the levels were traded significantly and those levels can be used as support and resistance levels.
🔹 Value Area (VA)
Value Area (VA) – The range of price levels in which the specified percentage of all volume was traded during the time period.
Value Area Volume %: Specifies percentage of the Value Area
Value Area High (VAH): Toggles the visibility of the Value Area High, the highest price level within the Value Area
Value Area Low (VAL): Toggles the visibility of the Value Area Low, the lowest price level within the Value Area
Value Area (VA) Background Fill: Toggles the visibility of the Value Area Range
🔹 Liquidity Levels / Voids
Unfilled Liquidity, Thresh: Enable display of the Unfilled Liquidity Levels and Liquidity Voids, where threshold value defines the significance of the level.
🔹 Profile Stats
Position, Size: Specifies the position and the size of the label presenting Profile Stats, the tooltip of the label includes all related info for each profile.
Price, Price Change, and Cumulative Volume: Enable display of the given options on the chart.
🔹 Volume Profile Others
Number of Rows: Specify how many rows each histogram will have. Caution, having it set to high values will quickly hit Pine Script™ drawing objects limit and may cause fewer historical profiles to be displayed.
Placement: Place profile either left or right.
Profile Width %: Alters the width of the rows in the histogram, relative to the calculated profile length.
🔶 RELATED SCRIPTS
Alternative Liquidity Void Detection script, Buyside-Sellside-Liquidity
ICT Implied Fair Value Gap (IFVG) [LuxAlgo]An Implied Fair Value Gap (IFVG) is a three candles imbalance formation conceptualized by ICT that is based on detecting a larger candle body & then measuring the average between the two adjacent candle shadows.
This indicator automatically detects this imbalance formation on your charts and can be extended by a user set number of bars.
The IFVG average can also be extended until a new respective IFVG is detected, serving as a support/resistance line.
Alerts for the detection of bullish/bearish IFVG's are also included in this script.
🔶 SETTINGS
Shadow Threshold %: Threshold percentage used to filter out IFVG's with low adjacent candles shadows.
IFVG Extension: Number of bars used to extend highlighted IFVG's areas.
Extend Averages: Extend IFVG's averages up to a new detected respective IFVG.
🔶 USAGE
Users of this indicator can primarily find it useful for trading imbalances just as they would for trading regular Fair Value Gaps or other imbalances, which aims to highlight a disparity between supply & demand.
For trading a bullish IFVG, users can find this imbalance as an area where price is likely to fill or act as an area of support.
In the same way, a user could trade bearish IFVGs by seeing it as a potential area to be filled or act as resistance within a downtrend.
Users can also extend the IFVG averages and use them as longer-term support/resistances levels. This can highlight the ability of detected IFVG to provide longer term significant support and resistance levels.
🔶 DETAILS
Various methods have been proposed for the detection of regular FVG's, and as such it would not be uncommon to see various methods for the implied version.
We propose the following identification rules for the algorithmic detection of IFVG's:
🔹 Bullish
Central candle body is larger than the body of the adjacent candles.
Current price low is higher than high price two bars ago.
Current candle lower shadow makes up more than p percent of its total candle range.
Candle upper shadow two bars ago makes up more than p percent of its total candle range.
The average of the current candle lower shadow is greater than the average of the candle upper shadow two bars ago.
where p is the user set threshold.
🔹 Bearish
Central candle body is larger than the body of the adjacent candles.
Current price high is higher than low price two bars ago.
Current candle upper shadow makes up more than p percent of its total candle range.
Candle lower shadow two bars ago makes up more than p percent of its total candle range.
The average of the candle lower shadow 2 bars ago is greater than the average of the current candle higher shadow.
where p is the user set threshold.
🔶 SUPPLEMENTARY MATERIAL
You can see our previously posted script that detects various imbalances as well as regular Fair Value Gaps which have very similar usability to Implied Fair Value Gaps here:
Imbalance Detector [LuxAlgo]This indicator detects and highlights market imbalances alongside a dashboard returning information about their frequency of occurrence and their fill percentage. Imbalances included in this script are Fair Value Gaps (FVG), Opening Gaps (OG) and Volume Imbalances (VI).
Alerts are available for the occurrences of all market imbalances.
Settings
Imbalances
Each imbalance has the same settings layout:
Imbalance: Enable/disable the detection of the specific imbalance.
Min Width: If enabled, requires the imbalance area width to be greater than the specified value. This minimum width can be expressed in points, percentages or ATR multiples.
Extend: Extend imbalances by a specified number of bars.
Dashboard
Show Dashboard: Enable/disable the dashboard on the chart.
Dashboard Location: Location of the dashboard on the chart.
Dashboard Size: Size of the dashboard.
Usage
Market imbalances are part of the many concepts available to price action traders and highlight areas where there is a disparity between supply and demand.
It is common to see price come back to these areas and traders often use them as supports and resistances but also as targets.
Details
The script can detect three distinct types of imbalances described below.
Fair Value Gaps
Fair Value Gaps (FVG) are three candle formations characterized by a gap between the wicks of the non-adjacent candles in the formation.
A bullish FVG is characterized by a gap between the current price low and the 2 bars anterior price high, and a bearish FVG is characterized by a gap between the current price high and the 2 bars anterior price low.
Opening Gaps
Opening Gaps (OG) are imbalances characterized by non-existent activity within a specific price range.
A bullish OG occurs when the current price low is greater than the previous high, a bearish OG occurs when price high is lower than the previous price low.
Opening Gaps primarily occur in closing markets, as such they are less common in the cryptocurrency market.
Most of the time an Opening Gap will also be accompanied by a Fair Value Gap, in order to avoid clutter the indicator will not detect Fair Value Gaps if Opening Gaps are enabled and if an Opening Gap has been detected
Volume Imbalances
Volume Imbalances (VI) are characterized by a price discontinuity between the opening price and previous close, but unlike Opening Gaps we do not see nonexistent activity within a certain price range.
A bullish VI occur when both the opening and closing prices are superior to the previous closing price, with the current price low overlapping the previous price high. A bearish VI occur when both the opening and closing prices are inferior to the previous closing price, with the current price high overlapping the previous price low.
Because Volume Imbalances can occur excessively on markets with frequent gaps, we make use of an additional condition for filtering out less significant imbalances. Bullish VI's will require the previous price high to be lower than the opening price, while bullish VI's will require the previous price low to be higher than the opening price.
Volume HIGH/CLIMAX
Volume is the number of shares of a security traded during a given period of time.
Generally securities with more daily volume are more liquid than those without, since they are more "active".
Volume is an important indicator in technical analysis because it is used to measure the relative significance of a market move.
The higher the volume during a price move, the more significant the move and the lower the volume during a price move, the less significant the move.
A climax occurs at the end of a bull or bear market cycle and is characterized by escalated trading volume and sharp price movements.
Climaxes are usually preceded by extreme sentiment readings, either excessive euphoria at market peaks, or excessive pessimism at market bottoms.
Essentially, climaxes are a result of a resolution in supply and demand factors.
Buying Climaxes
One of the clearest signals of the end of a bull market is a buying climax, during which volume escalates to extreme levels and bullish euphoria permeates media coverage of stocks, market indices, or commodities . The key trait of a buying climax is the exhaustion of demand as the last buyers enter the market. The final surge of buying typically leads to price spikes, which may last for days, weeks, or months. As demand wanes, buyers become less willing to pay higher prices. There may be a brief period of stagnation in prices before a combination of profit-taking and new sellers set in motion the start of a sharp reversal.
Selling Climaxes
The beginning of a selling climax is often signaled by steadily increasing volume on the sell side of the market as growing pessimism accelerates the downtrend. As the selling climax approaches, the last buyers finally capitulate, driving shares sharply lower. Once the supply side of the market abates, demand at support levels can cause the price to level off before a combination of profit-taking and new buyers set in motion the start of a sharp reversal.
Nonlinear Parametric Oscillator - PSOThis script is in development phase and may be buggy. use with your own risk. The idea here is to determine the sinusoidal directional changes in the supply and demand. Based on direction, you can enter and make huge gains. Recommended to use on 1 min chart. The sideways market would be indicated as flattening in the respective bands. There are four bands, bottom one is where market is in BEAR mode and top one is when market is in BULL mode.
The indicator doesnt work well when the ticker price is less than 10 dollars, i am working on it. Do not use on penny stocks, for the time. More-details when I make this a robust version.
Price Action in action
What?
Price Action in Action is an indicator to help Price Action learners and practitioners to get everything related for Price Action in one place.
Price Action is:
Price + Volume = Action
In this indicator, we have the following features available:
Support/Resistance
Using the RSI with different periods in a multiple of 7 (7, 14, 21, 28), we first determine the overbought (above 70, customizable) and oversold (below 30, customizable) regions. Then we pick up the highest point and lowest point in the RSI values in the overbought and oversold regions, respectively. These are the point, historically supply/demand emerged for surety to push down/up the RSI indicator and the corresponding price. So, these are the most accurate way, we believe, to draw support/resistance (or demand/supply) in the chart. By default, the Support is green color and Resistance is red color. To give a visual representation, we differentiate the different shades of green and red. For example, for Level-1 (i.e. 7 by default) we use the darkest shade (0 transparency) and Level-4 (i.e. 28 by default) we use lighter shade (60 transparency). Note please: you can customize the color of support and resistance lines (say if you want resistance as green and support as red). The respective shades (transparency) will be automatically adjusted accordingly. But those shade (transparency) levels are not customizable, they are fixed (please bear with it for version-1 at least).
Strength of Support/Resistance
In the chart above/below the Resistance / Support lines you can see the tiny labels with some numbers like 1, 2.
We found out how many times a particular support/resistance is appearing across multiple RSI periods. E.g. if price P1 appears 2 times among 4 different RSI periods, the number will be 2 for that calculation, and so on.
There can be multiple presence of these numbers in a support/resistance line (i.e. multiple tiny labels). Something like: 1, 1, 2 (into different candles). This means the same support/resistance is tested so many times in different occasion (means there is a RSI max/min coincides in this level over multiple occasions) at different candles.
This will help you to intuitionally gauge the “strength” of a support/resistance line.
The more the marrier, unworthy to mention.
Candle Stick Patterns
Well: we don’t need to tell anything about the Candlestick. All of you know it better than us. And it’s a time proven, zero-lag mechanism to judge the Price-Action is unfolding in the market. We do not know if there is anything better possible than this time tested patterns to judge the prevailing sentiments of market.
Price-Action does not complete without finding out the Candlestick Patterns correctly.
And in this indicator your will get all of these: Single Candle such as Doji (default off), Marubozu, Spinner, hammers, inverted-hammer etc. ; 2 candles like Tweezer, Inside Candle, Engulfing; 3 candles like morning star/evening star.
In the multi candle patterns (2/3 candles), we are grouping the candles with a dotted rectangle such that it is clear which 2/3 candles are part of the pattern. E.g. Morning Star: 3 candles are grouped in a dotted rectangle and the Morning Star label will come to the latest candle (3rd most – as the pattern is detected reliably only on the completion of the 3rd final candle).
Of course, any program can not eliminate your trained eyes and brain to capture the patterns. But we have provided sufficient knobs to adjust various parameters to tweak the candle-pattern detection. Such as Strict Inside Candle(Harami) Boolean knob where the whole current candle including wicks will be inside the body part of the previous big candle. For non-strict mode, the current candle just inside the previous candle, possibly by wicks.
To make it better usable, for every such knobs (which are not obvious) we have added user-friendly tooltip (just mouse hover the question mark (?) besides the control/switch). There are plenty of it.
Volume
Here we have a rudimentary (yet effective) way to judge the volumes.
We find out the Volume Weighted Moving Average (VMWA) of the 20-period (default, but customizable) and the latest volume. If the latest volume is more than the 20 period vwma, we just add a grey diamond on the top of the candle to denote it’s attracting volumes. Of course, we provide a Weight coefficient (default is set to 1). So if the current bar’s volume on bar’s completion is more than the 20 period volume vmwa times the weigh-cofficient, we mark it with a tiny grey diamond.
Points to be noted:
In all places we mark the indication only on the completion of the bar (technically speaking we have checks, as far as possible, with barstate.isconfirmed). However, if you wish, you can turn it off for Candlestick (as some experts may want to check candlestick on the real time, even before the closing of bars).
In case if you see the chart looks cluttered (because of many information, specially in smaller timeframes like 5 min), there are controls given in the settings to toggle each and every features.
By default, we turn off Doji candles (all 3 types of Doji’s – normal, Gravestone & Dragonfly) as they are mainly indecision. However, you can toggle it to turn it on.
It does not give you any Buy/Sell call. The interpretation it does not have.
Why?
What’s unique in it?
As we already mentioned our intention is to include Price (in forms of Support / Resistance), Volume and Action (sentiments in terms of Candlestick patterns) into a single place. And so far, to the best of our knowledge, we could not come across a single indicator provides all of these.
There were works available to determine the RSI based support / resistance zones. Those are great piece works at that time (lets say 3 years back when PineScript was in earlier versions). To the best of our knowledge those does not cover up finding out the lowest / highest point of RSI and the corresponding price to get the simplistic and distinct support/resistance lines.
We have the intuitive support/resistance strength included which we could not found out in current set of available indicators.
To the best of our knowledge, there seems no indicator can detect 3-candle patterns which are extremely popular to detect trend reversals (such as Morning Star or Evening Star). Moreover for the multi-candle patterns we are grouping the candles part of the pattens (2-candles or 3-candles) using a dotted rectangle such that it’s visually clearly (and a well educative material for Price-Action learners also).
Mentions:
There are many works which inspire us along the way. Honestly: we sometimes forgot which all indicators we experimented with. We are sincerely apologetic in case we forgot to mention. A few note-worthy:
There is an indicator from user “repo32” named as “Candlestick Patterns Identified (updated 3/11/15)”. (We could not be able to contact “repo32”). We are inspired from his work that it’s feasible to detect Candlestick patterns.
There is an awesome work done by “RSI Based Automatic Demand and Supply” by user “shtcoinr”. The idea of consulting multiple RSI levels to find out the demand/supply zone we inspired from him. (We did contact “shtcoinr” and got his kind permission to use the concept.)
We are greatly thankful to these abovementioned wizards for their pioneering a-prior work in this front.
And of course, this TradingView platform to provide this abstraction, facilitates and felicitates collaborative contributions.
Ultimately, what’s for you?
That’s the main question. What’s for you?
Price-action comprises of following 3 tasks (at least):
Draw support/resistance lines in the chart.
Once price reaches at the support/resistance line, you fervently look out the candles’ formation to mentally map to the candle patterns. Your aim is divine: You want to judge if the price-action will continue or take a rejection/reversal.
Then you double-confirm with the volume (in a non-overlaid chart below).
Finally take a trade.
For a price-action newbie or seasoned, expert practitioner, you must be doing all the above tasks regularly and manually, in a mechanical, mundane way. There come the humanly subjectivity & the inevitable emotions . This indicator, being a piece of program/code in PineScript latest version v5 , eliminates (or at least, reduces to a great extend) that subjectivity & emotions out of the way of decision making . Thus resulting better yield.
Of course, you can argue that you draw slanted trend lines also. We recommend an already existing indicator by user LuxAlgo named as “Trendlines with Breaks ”, if you wish so.
Disclaimer:
This piece of software does not come up with any warrantee or any rights of not changing it over the future course of time.
We are not responsible for any trading/investment decision you are taking out of the outcome of this indicator.
Happy trading.
The Investment ClockThe Investment Clock was most likely introduced to the general public in a research paper distributed by Merrill Lynch. It’s a simple yet useful framework for understanding the various stages of the US economic cycle and which asset classes perform best in each stage.
The Investment Clock splits the business cycle into four phases, where each phase is comprised of the orientation of growth and inflation relative to their sustainable levels:
Reflation phase (6:01 to 8:59): Growth is sluggish and inflation is low. This phase occurs during the heart of a bear market. The economy is plagued by excess capacity and falling demand. This keeps commodity prices low and pulls down inflation. The yield curve steepens as the central bank lowers short-term rates in an attempt to stimulate growth and inflation. Bonds are the best asset class in this phase.
Recovery phase (9:01 to 11:59): The central bank’s easing takes effect and begins driving growth to above the trend rate. Though growth picks up, inflation remains low because there’s still excess capacity. Rising growth and low inflation are the Goldilocks phase of every cycle. Stocks are the best asset class in this phase.
Overheat phase(12:01 to 2:59): Productivity growth slows and the GDP gap closes causing the economy to bump up against supply constraints. This causes inflation to rise. Rising inflation spurs the central banks to hike rates. As a result, the yield curve begins flattening. With high growth and high inflation, stocks still perform but not as well as in recovery. Volatility returns as bond yields rise and stocks compete with higher yields for capital flows. In this phase, commodities are the best asset class.
Stagflation phase (3:01 to 5:59): GDP growth slows but inflation remains high (sidenote: most bear markets are preceded by a 100%+ increase in the price of oil which drives inflation up and causes central banks to tighten). Productivity dives and a wage-price spiral develops as companies raise prices to protect compressing margins. This goes on until there’s a steep rise in unemployment which breaks the cycle. Central banks keep rates high until they reign in inflation. This causes the yield curve to invert. During this phase, cash is the best asset.
Additional notes from Merrill Lynch:
Cyclicality: When growth is accelerating (12 o'clock), Stocks and Commodities do well. Cyclical sectors like Tech or Steel outperform. When growth is slowing (6 o'clock), Bonds, Cash, and defensives outperform.
Duration: When inflation is falling (9 o'clock), discount rates drop and financial assets do well. Investors pay up for long duration Growth stocks. When inflation is rising (3 o'clock), real assets like Commodities and Cash do best. Pricing power is plentiful and short-duration Value stocks outperform.
Interest Rate-Sensitives: Banks and Consumer Discretionary stocks are interest-rate sensitive “early cycle” performers, doing best in Reflation and Recovery when central banks are easing and growth is starting to recover.
Asset Plays: Some sectors are linked to the performance of an underlying asset. Insurance stocks and Investment Banks are often bond or equity price sensitive, doing well in the Reflation or Recovery phases. Mining stocks are metal price-sensitive, doing well during an Overheat.
About the indicator:
This indicator suggests iShares ETFs for sector rotation analysis. There are likely other ETFs to consider which have lower fees and are outperforming their sector peers.
You may get errors if your chart is set to a different timeframe & ticker other than 1d for symbol/tickers GDPC1 or CPILFESL.
Investment Clock settings are based on a "sustainable level" of growth and inflation, which are each slightly subjective depending on the economist and probably have changed since the last time this indicator was updated. Hence, the sustainable levels are customizable in the settings. When I was formally educated I was trained to use average CPI of 3.1% for financial planning purposes, the default for the indicator is 2.5%, and the Medium article backtested and optimized a 2% sustainable inflation rate. Again, user-defined sustainable growth and rates are slightly subjective and will affect results.
I have not been trained or even had much experience with MetaTrader code, which is how this indicator was originally coded. See the original Medium article that inspired this indicator if you want to audit & compare code.
Hover over info panel for detailed information.
Features: Advanced info panel that performs Investment Clock analysis and offers additional hover info such as sector rotation suggestions. Customizable sustainable levels, growth input, and inflation input. Phase background coloring.
⚠ DISCLAIMER: Not financial advice. Not a trading system. DYOR. I am not affiliated with Medium, Macro Ops, iShares, or Merrill Lynch.
About the Author: I am a patent-holding inventor, a futures trader, a hobby PineScripter, and a former FINRA Registered Representative.
TR Unleaded Gasoline & Diesel Price by zdmreThe price of gasoline can change on any given day. Although a number of factors determine the price per liter, the price of crude oil makes the most impact. The per-barrel price of crude oil is most directly affected by world supply and demand. By closely monitoring the price of crude as well as keeping tabs on a few other factors you can estimate the cost to fill up.
Divide the crude oil (Moving Average) price by 159. One barrel of crude contains 159 liters. This will tell you the dollar amount per liter of refined gasoline attributed to crude. For example, if crude oil is $100 per barrel, then about $0.628 of the price of a liter of gas comes from the crude price.
By multiplying this amount by Dollar/Turkish Lira, special ratio and upper limit, you can get an estimated price per liter.
For example: using $0.628 , multiply by USD/TRY (17 TL), Special Ratio (2.1) and Upperlimit (1.03). An average cost per liter of gasoline is 23.09TL
The similar calculation applies to Diesel.
